Author: Guy Kawasaki’s Remarkable People

  • Garret Wing: The Art of Canine Training

    AI transcript
    0:00:12 I’m Guy Kawasaki, and this is Remarkable People.
    0:00:15 We’re on a mission to make you remarkable.
    0:00:19 And helping me in this episode is Garrett Wing.
    0:00:24 Garrett is the founder and owner of American Standard Dog Training.
    0:00:29 He has over 17 years of experience in law enforcement.
    0:00:34 He served as the commander of the tactical investigations unit, senior police canine
    0:00:40 unit supervisor, patrol canine handler, and narcotics canine handler.
    0:00:44 This basically means he knows a lot about dogs.
    0:00:50 So with his extensive experience in law enforcement, dog training, and instruction,
    0:00:56 Garrett has become a highly respected figure in the field of canine training and handling.
    0:01:00 If you’ve ever wondered about what it took for a dog to be in the canine unit, you’re
    0:01:02 about to find out.
    0:01:11 I’m Guy Kawasaki, this is Remarkable People, and now here is the Remarkable Garrett Wing.
    0:01:18 When I walk past a canine unit, can you just tell me what it took for that dog to be in
    0:01:20 that car?
    0:01:21 How did they find the puppy?
    0:01:22 How did they train them?
    0:01:25 Do puppies fall out of training?
    0:01:28 Is there a rejection rate and how long do they serve?
    0:01:29 What happens when they retire?
    0:01:32 I just want to know the whole story of canine units.
    0:01:35 Typically, they’re born often overseas.
    0:01:38 They’re pairing up championship leaders.
    0:01:45 We’re talking about dogs that have competed in sports overseas such as Shudson, IGP, Mondio
    0:01:49 Ring, depends which country we’re talking about, but they have different variations.
    0:01:53 In other words, they’re protection sports, and these are typically civilians who, instead
    0:01:56 of going golfing on the weekend, this is their passion.
    0:01:58 This is what it’s all about for them.
    0:02:01 After work, they come home and they start training dogs.
    0:02:06 They need to continue to produce offspring, so they’ll have a litter, and then they’ll
    0:02:08 typically take that litter.
    0:02:11 They’ll get a few of them and they start working those dogs as young puppies.
    0:02:16 Now, as those puppies start to develop around six months, eight months, nine months old,
    0:02:21 10 months old, they can really dial in on which ones have it and which ones don’t.
    0:02:23 Which ones are going to likely succeed?
    0:02:24 Which ones are healthy?
    0:02:26 Which ones have the drive?
    0:02:29 What ends up happening is they don’t want to take a puppy.
    0:02:32 If you’re competing in the sport, you obviously can’t compete in the sport with an eight-week
    0:02:34 old dog.
    0:02:39 We can’t compete until maybe that dog’s 12 months old, a year and a half, a little older,
    0:02:43 but you don’t want to hedge your whole bet on one puppy because it’s always a roll of
    0:02:44 the dice.
    0:02:47 So they don’t just pick one puppy and then invest all their time and energy into that
    0:02:48 one puppy.
    0:02:51 God forbid, it’s not healthy or it doesn’t have the drives they need.
    0:02:55 So they’re going to spread their bet or hedge their bet on a handful of puppies.
    0:03:00 Now, what ends up happening is once they develop these dogs to a certain age, now they’ll make
    0:03:04 their selection and spend most of their time on that one dog, maybe two dogs.
    0:03:07 So they want to take that one dog to the championship.
    0:03:09 They want to title that dog.
    0:03:10 And there’s different levels of titling.
    0:03:13 This is not my area of expertise, this is what they do over there.
    0:03:16 They’re going to try to put all their energy now into the one dog.
    0:03:20 Now, what happens to the three, four, five, six other dogs that they were grooming, they’re
    0:03:22 going to just throw them in the trash.
    0:03:26 So what they end up doing is we have folks over in the states who are considered like
    0:03:31 vendors and they will fly over to Europe, meet with their contacts there and say, “Hey,
    0:03:34 I’m a vendor for the police and military.
    0:03:37 We’re constantly looking for the best dogs that we can get.”
    0:03:41 And so they’ll visit those kennels over there and those kennels are now basically bringing
    0:03:45 these dogs back or saying, “Hey, this dog’s still excellent.
    0:03:47 It’s still an A plus dog.
    0:03:48 We just don’t have anyone that’s training it.”
    0:03:53 The owner of this dog decided to go with this one, but we have plenty left over.
    0:03:54 Which would you like?
    0:03:56 And so the vendors will then import those dogs.
    0:04:02 If you want to talk price, again, not my area of expertise and it constantly changes, especially
    0:04:07 with the political climate and whatnot and import fees, but you’re talking on average
    0:04:11 $3,505 grand depending upon the quality of the dog.
    0:04:12 What’s the genetics of the dog?
    0:04:14 Oh, both parents were champions.
    0:04:20 And so anyways, they’ll import those dogs maybe a handful at a time, a dozen at a time.
    0:04:24 Then they’ll end up stateside because the police departments locally, they’re not spending
    0:04:32 money typically to send their trainers overseas for a one or two week paid travel to check
    0:04:33 out these dogs.
    0:04:37 Furthermore, if you haven’t developed good relationships with the folks over there, they’re
    0:04:39 just going to pawn off their leftovers.
    0:04:42 They’re not so good dogs because they got to get rid of those dogs too.
    0:04:44 They got to get rid of the good ones and the not so good ones.
    0:04:48 So if you come over unsuspecting or you don’t speak the language, they’re going to hide
    0:04:50 the good ones and only show you the bad ones.
    0:04:53 So we’re typically, as police departments, relying upon vendors who have built these
    0:04:56 relationships over decades.
    0:05:01 And so they’ll bring the dogs over and then that’s where we come in, where we as police
    0:05:06 canine handlers and trainers will meet with, usually we have a vendor, a preferred vendor
    0:05:09 that maybe the department’s been working with for decades or sometimes there’s multiple
    0:05:10 vendors.
    0:05:13 We keep our options open because it depends what they have brought in lately.
    0:05:14 Then we will test the dogs.
    0:05:16 Now every department tests their dogs differently.
    0:05:21 Some departments go to the vendors on their home turf and other times will say, hey, look,
    0:05:23 we’re going to buy like six dogs.
    0:05:27 Can you make a trip down here, however many hours of travel that is and we’re going to
    0:05:29 test whatever you have.
    0:05:32 Also the vendors start to know what each individual department is looking for.
    0:05:36 Some departments want harder, tougher dogs.
    0:05:37 And so they’ll know to bring that.
    0:05:41 Or if you have a good relationship with them, say, look, we’ve got four handlers that need
    0:05:42 dogs.
    0:05:44 Two of them are veteran handlers.
    0:05:45 You already know what they want.
    0:05:47 They want something similar to what they had last time.
    0:05:49 They want a German shepherd.
    0:05:50 They want a Belgian Malinois.
    0:05:51 They want high drive.
    0:05:56 This guy likes to compete with his dog in police canine trials and competitions.
    0:05:58 So let’s get him something real turnkey.
    0:06:03 Oh, we also have a brand new kind of rookie handler happens to be petite, whether it’s
    0:06:08 a female or just a smaller frame male, a, uh, probably don’t want that 120 pound dog.
    0:06:11 You have something a little more on the small side, like a pocket rocket.
    0:06:15 So all of this is taken into account and then the dogs will be tested.
    0:06:20 Now we can talk about the kind of testing we do, but we are typically examining the
    0:06:21 dog’s drives.
    0:06:24 What kind of drives are we talking about?
    0:06:29 It could be prey drive, hunt drive, fight drive, defensive drive, just their overall
    0:06:30 courage.
    0:06:32 Also their social drive.
    0:06:36 We used to not care about social drive, but it’s a new age and we used to think we wanted
    0:06:41 the biggest, toughest, hardest dogs and just a little bit about my background.
    0:06:45 I was a police canine handler and police canine supervisor for the city of Miami police department.
    0:06:48 My father and stepmother were also members of that canine unit.
    0:06:54 So combined we probably have, I don’t know, 30 or 40 years of experience in the canine
    0:06:55 world.
    0:07:02 So when we go to test dogs, especially back in the day, we just wanted tough dogs.
    0:07:08 But over time we realized, we used to think if you got a tough dog, you either had to
    0:07:12 get a tough dog or a social dog and it was hard to find a dog that was super sweet with
    0:07:17 people and your family could pet it and other police officers could pet it, but it would
    0:07:19 still be a good police dog.
    0:07:22 We used to think, no, we’re kind of, we’re going to go into backyards, we’re going to
    0:07:26 go on tracks for murder suspects, rapist, armed robbers.
    0:07:29 I’ll err on the side of a harder dog.
    0:07:31 He doesn’t need to be pet by anybody.
    0:07:35 He just needs to bite when I need him to bite so he could save my butt in the backyard.
    0:07:40 Well I would say, at least during my tenure, towards the end of it, we started to switch
    0:07:46 because we would get these kind of almost unicorn dogs like robots, turnkey, super social,
    0:07:51 but if you said the right word and you turn that dog on and put them into the right drive,
    0:07:55 at the drop of a hat, they would go into action and handle business.
    0:07:57 And so we tried to get more social dogs.
    0:08:02 There’s no reason to have a dog that is so hot that nobody can get near it.
    0:08:06 And we’ve had dogs like that in the past that get so, they’re so dangerous to be honest
    0:08:11 with you that even backups can’t get close enough to you as a handler to back you up.
    0:08:15 So now you end up going into a backyard and we always say, hey backup, do me a favor,
    0:08:19 stand about 30 feet behind me because we might be using a 15 or 30 foot lead.
    0:08:22 And so you got to give that canine dog and the handler some space.
    0:08:26 If you get too close to the handler, the dog’s going to bite you, the SWAT backup just as
    0:08:28 quick as it’s going to bite anybody else.
    0:08:31 But the point being, sometimes we still get dogs like that.
    0:08:35 We tend to try to get dogs that have all the drives and yet they’re clearheaded.
    0:08:36 We like a clearheaded dog.
    0:08:38 Anyways, we’ll do the testing.
    0:08:39 We can get more into the details.
    0:08:41 Some of the testing is pretty cool that we would do.
    0:08:44 And yes, some of those dogs get maybe washed out in the sense, we’re telling the vendor,
    0:08:47 hey, thanks for bringing these 12 dogs.
    0:08:48 We’d like these four right here.
    0:08:54 Now other departments might come along and maybe they’re a softer, kindler, gentler department
    0:08:56 or they haven’t been in the game long enough.
    0:08:57 They don’t know what they’re looking for.
    0:09:01 And so same thing, the vendors are like, hey, this is a great dog.
    0:09:05 It’s a dog we might rate as like a C plus, maybe we’re not taking it, but if they want
    0:09:08 to take it, sure, maybe it turns out to be a great dog for their purposes because all
    0:09:14 they need is a dog that looks pretty and shows up to the school demos and can catch a ball.
    0:09:18 We need a dog and a department that we work in that needs to be everything and handle
    0:09:19 business.
    0:09:22 So we were very selective on what dogs we would get.
    0:09:26 And oftentimes too, even after we selected the dog, you might be a month or two into
    0:09:30 training, call the vendor up and say, ah, yeah, this dog’s too much.
    0:09:34 Or hey, we tested this dog and we thought it was good, but it doesn’t quite have what
    0:09:35 we need.
    0:09:36 We found a problem.
    0:09:37 We also would test for health.
    0:09:41 And so health issues might pop up and there’s a certain level of guarantee from the vendors,
    0:09:43 but we try not make that happen too often.
    0:09:48 It’s just bad business to constantly take dogs and actually mess the dog up in your
    0:09:52 training because you can mess up a good dog with bad training, send the dog back.
    0:09:53 The vendors don’t like that.
    0:09:55 They don’t want to do business with you anymore.
    0:09:59 Anyways, then we do, I’m trying to, I never asked me a question without expecting a 30
    0:10:01 minute answer, but this is my passion, this is what we love.
    0:10:05 So then after selection, they passed that selection.
    0:10:08 We’ve now selected them to go through a canine training.
    0:10:14 Every state is different, but in the state of Florida, we do what’s called a 480 hour
    0:10:15 canine certification course.
    0:10:18 The dog and the handler must go through that.
    0:10:22 On average, it takes around three or four months and we’re following a state standardized
    0:10:26 curriculum that hasn’t probably changed much in 20 or 30 years, but what work back then
    0:10:28 is still working now.
    0:10:32 And we are getting the dogs trained to do tracking, to do what we call area searches,
    0:10:35 which is using their nose to find a hidden subject.
    0:10:41 Obedience obviously is a big portion of it, agility and just general control of the dog.
    0:10:47 We build the dog up so that it can pass certification and then typically the better agencies will
    0:10:52 do what’s called, and this may be a little risqué, but we, soon as they’re certified
    0:10:56 technically you can hit the street and go handle business.
    0:11:03 However, a lot of agencies will hold the handler and the dog back for above and beyond training,
    0:11:05 which we often call dirtying the dog up.
    0:11:11 And what that is, the state certification is the bare minimum standards, if you will.
    0:11:13 It’s all textbook material.
    0:11:19 Do this, do that, make sure your dog bites the guy in the suit and when you recall, he
    0:11:20 recalls.
    0:11:24 In fact, the entire test that’s done for certification happens on a training field.
    0:11:28 Well, if anybody’s been in the game long enough, the training field is one thing.
    0:11:31 The street is a whole other thing.
    0:11:38 And so after the dog passes its kind of ABCs, then we say, okay, now let’s make it real.
    0:11:43 Let’s now focus on, and by the way, at this point, we need the dog under tremendous control.
    0:11:46 Beautiful recall, beautiful obedience.
    0:11:51 We try to maintain that, but when we talk about dirtying a dog up, we’re kind of saying,
    0:11:53 hey, get ready for the real deal.
    0:11:56 You might get in a fight tomorrow with a real bad suspect, he might punch you in the face.
    0:12:02 I don’t want, when we’re in a backyard, the police dog for the first time ever realizing
    0:12:04 that you might get hit too.
    0:12:05 So we have to prepare the dogs for that.
    0:12:11 We start exposing them to any type of scenario that you can imagine to prepare the dog for
    0:12:12 real life encounters on the street.
    0:12:14 And I’ll just give you one example.
    0:12:19 In certification, it’s on a sanitary field with a guy in a Stay Puff Marshmallow suit,
    0:12:20 right?
    0:12:22 The big body, the big bite suit and dogs are very visual creatures.
    0:12:27 While in the street, it’s not going to be a guy running away from you in a big old puffy
    0:12:28 suit.
    0:12:33 What it’s going to be potentially is a guy hiding, let’s say, in the bushes, maybe with
    0:12:34 no clothes on.
    0:12:37 Maybe he’s shed a lot of his clothes because he’s trying to get rid of whatever it is we
    0:12:39 saw him wearing.
    0:12:43 Maybe, and this happens a lot, you’d be surprised, guys will break into homes, they’re running
    0:12:47 from the police, they bail out of a stolen vehicle or an arm carjacking vehicle, you
    0:12:53 go searching for them, they’ll find an open door, they’ll go in and start taking a shower
    0:12:55 in somebody else’s house.
    0:12:57 Just like, “Oh yeah, I live here, man, I’m taking a shower.”
    0:12:59 And while they’re taking a shower, you’re like, “Hey, what’s the address?”
    0:13:01 And they’re like, “Yeah, I don’t know.”
    0:13:08 Anyways, has your dog ever bit someone with no equipment on in the shower with the water
    0:13:09 coming on them?
    0:13:14 And you’d be surprised, there’s a lot of hard-ass police dogs who’d be like, “Nah,
    0:13:15 I don’t feel like getting wet.
    0:13:17 I don’t feel like slipping on the floor.”
    0:13:21 A lot of dogs, even police dogs are a little terrified of slippery floors.
    0:13:25 So these types of things we do over the coming, not just weeks and months to kind of dirty
    0:13:30 them up, this is what training is like now for the rest of that dog’s career.
    0:13:36 It’s all about getting that environmental exposure, showing different pictures, biting
    0:13:40 a guy in a river, biting a guy in an attic, biting a guy in a tree, biting a guy under
    0:13:41 a car.
    0:13:42 And I keep saying, “Bite, bite, bite.”
    0:13:46 But that’s what we’re preparing the dogs to do, to be able to make a physical seizure
    0:13:50 on a subject that’s either refusing to come out or that wants to fight the police.
    0:13:58 So that’s kind of how we get the dogs from overseas into our training program and then
    0:13:59 on the street.
    0:14:05 And the only thing I missed was pre-COVID, we used to get what we would call turnkey
    0:14:06 titled dogs.
    0:14:11 These are dogs, you remember we go back to the folks who maybe have a handful of puppies,
    0:14:14 they raise them up, they select one, then they take that one all the way across the
    0:14:19 finish line, try to get it as high up as they can in competition and get all the titles.
    0:14:25 We used to buy title dogs, give or take $15,000, $20,000.
    0:14:28 When those dogs came, they were fully mature, two, two and a half, sometimes three years
    0:14:29 old.
    0:14:32 Pretty much turnkey, we called them Ferraris.
    0:14:36 You put a competent handler behind the lead there, you could pass certification like the
    0:14:38 same day.
    0:14:40 You have to put in your requisite hours, but those dogs are ready.
    0:14:42 In fact, you know what often happened?
    0:14:47 We’d give rookie handlers the turnkey dog and the dog was actually worse three or four
    0:14:50 months later than it was when we first got it.
    0:14:51 How do I mean worse?
    0:14:56 Little rusty, not as clean and sharp as it came right off the boat because those folks
    0:14:58 over there don’t play, they want those dogs perfect.
    0:15:03 It’s like if I gave a gated manual Ferrari to someone who didn’t know how to drive a
    0:15:07 manual and I said, oh, just good luck to you, go drive that.
    0:15:09 It might have some dense on it.
    0:15:11 You might have burned up the transmission.
    0:15:14 That kind of what happened, we give these turnkey dogs to someone who’s never worked
    0:15:16 a dog before and their timing is off.
    0:15:20 Their leash pressure skills are not there and the dog ends up getting a, I mean, it’s
    0:15:21 still a great dog.
    0:15:23 It’s just not as sharp as it used to be.
    0:15:25 That’s what we used to get back in the day, title dogs.
    0:15:29 Then when COVID came, you couldn’t title a dog in Europe because you couldn’t have the
    0:15:30 competitions.
    0:15:31 Everything was shut down for like two years.
    0:15:37 So it was a really weird time in canine world where we couldn’t get two-year-old turnkey
    0:15:38 dogs.
    0:15:41 We were getting what we call green dogs, which is what I described to you earlier.
    0:15:43 Green dogs meaning they don’t really know their name.
    0:15:45 They don’t know how to sit or down.
    0:15:47 They just know how to bite things.
    0:15:52 They’re just like very raw, animalistic, think of if you had a 10 and 12-year-old boys and
    0:15:56 you just let them raise themselves on an island, like almost feral.
    0:15:57 That’s what we get.
    0:16:01 And then we take the best of the feral dogs that are just high drive and we say, okay,
    0:16:02 I like this one.
    0:16:06 Then we put in all the training, the obedience, the out command, the searching, the tracking,
    0:16:09 the explosives or narcotics, detection, et cetera.
    0:16:10 There you go.
    0:16:13 Why do you have to get these dogs from another country?
    0:16:15 How come we don’t just have them here?
    0:16:16 That’s a great question.
    0:16:23 There are vendors here that will take a lot of these import dogs, take the best of them
    0:16:26 and have their own breeding program.
    0:16:30 However, I think it’s one of those, if you want a Ferrari, you got to go to Italy.
    0:16:32 I honestly don’t have an answer for you.
    0:16:38 I don’t think there are some, there definitely are some breeding programs here that are just
    0:16:42 as good as the breeding programs over in Europe.
    0:16:44 It’s just past practice.
    0:16:46 But again, I think it depends where you are in the country.
    0:16:49 There are some police departments that have their own breeding program.
    0:16:52 But there’s a lot of expense in that to raise your own puppy.
    0:16:55 And we don’t even know until the dog’s six, eight, nine months old if it’s even worth
    0:16:56 anything.
    0:16:59 Now, if you have a litter of eight and four make it, well, now what do you do with the
    0:17:00 other four?
    0:17:02 What are you going to do with the dogs that don’t cut it?
    0:17:05 And so I’ve got to find homes for them.
    0:17:10 When you have a litter of puppies, what can you tell at the puppy stage?
    0:17:12 Is there already dominance going on?
    0:17:14 Do you want a dominant dog?
    0:17:16 What’s the characteristics you’re looking for?
    0:17:18 I think it depends who you ask.
    0:17:22 But even when you look at a litter of puppies, six, seven, eight weeks old, one of the tests
    0:17:28 that we encourage our customers to do, because sometimes we often help customers procure
    0:17:29 a dog.
    0:17:30 Find a breeder.
    0:17:31 We’re talking about police dogs right now.
    0:17:33 We’re just talking about dogs in general.
    0:17:34 And they’re working with a particular breeder.
    0:17:36 We help get the right breeder.
    0:17:38 And then now they get the pick of the litter.
    0:17:40 Well, how do I pick the one I want?
    0:17:43 And so it all depends on what you’re looking for your lifestyle.
    0:17:49 But when it comes to the dominance, absolutely, if you throw, let’s say a ball or a toy or
    0:17:54 even better a bone with some meat on it, but there’s only one bone and there’s eight puppies.
    0:17:56 Not every puppy’s going to get a bite of that bone.
    0:18:01 You’re going to see the top one or two dogs out of that litter, maybe three, letting everybody
    0:18:04 else know, hey, this is mine, and you’ll probably have a pretty clear winner.
    0:18:07 And that’s going to be repeated over and over again.
    0:18:09 And there’s some theories as to how that happens.
    0:18:16 I find it very interesting, but what makes this puppy more dominant than his brother
    0:18:18 or sister right next to him?
    0:18:23 The thought process behind that is that when the mother’s feeding them, more milk comes
    0:18:25 out of the middle teats.
    0:18:30 So there’s more milk and what makes a dog more physically capable and more mentally
    0:18:31 capable?
    0:18:35 By the way, dominant and alpha type dogs are not always the biggest, though sometimes they
    0:18:36 are.
    0:18:38 They’re the smartest.
    0:18:42 And so they say that what is it that makes a puppy develop?
    0:18:44 Why did this one develop better than this one?
    0:18:45 Why is one the runt of the litter?
    0:18:48 Obviously, there’s some genetics in play, of course, right?
    0:18:51 Who got the luck of the draw when the sperm hit the egg?
    0:18:57 But also when it comes to feeding time, the stronger dogs already are going to fight their
    0:19:01 way, crawl and fight their way to the middle teat to get more milk.
    0:19:04 They’re also in the middle of the bunch, so they’re flanked on either side and they’re
    0:19:07 getting warmth from their brothers and sisters.
    0:19:10 What happens to the guy on the end or the gal on the end?
    0:19:13 Less milk, less warmth, less development.
    0:19:15 And so that’s where you might get a runt of the litter because they didn’t get as much
    0:19:16 calories in.
    0:19:18 They didn’t get as much warmth.
    0:19:22 And so their brain and physical development was not on par with their brothers and sisters.
    0:19:24 Now what do you want for a police dog?
    0:19:26 Very interesting conversation.
    0:19:28 There’s alpha dogs, if you will.
    0:19:30 What I like is a beta dog.
    0:19:34 Now beta is often referred to in a negative connotation, you’re either an alpha or you’re
    0:19:35 a beta.
    0:19:42 Now actually, alphas are super tough dogs, very smart, and they don’t like being second
    0:19:43 to anybody.
    0:19:48 So if you get a real strong alpha handler and a real strong alpha dog, they will clash for
    0:19:49 their whole career.
    0:19:50 Right?
    0:19:54 It may not happen every day, but every time, every once in a while, that dog will literally
    0:19:55 turn on the handler.
    0:19:57 Here’s an example.
    0:20:01 The dog’s in full drive, and it’s very hard to explain what a police dog in full drive
    0:20:02 is like.
    0:20:10 It’s like having a 1,000, 1,200, or 1,500 horsepower engine in a car, rip-roaring, ready to go.
    0:20:12 And you better hope you’ve installed some brakes on it.
    0:20:15 By brakes, I mean obedience, some level of control.
    0:20:20 But the dogs have serious drive, one of them being bite drive.
    0:20:24 So when they get frustrated, and they want to bite someone, and this happens in real
    0:20:30 life all the time, you get a suspect that’s run from the police, he’s putting off a ton
    0:20:32 of what we call fear odor.
    0:20:36 This dog has been trained his whole life to find and bite.
    0:20:37 It’s his whole purpose in life.
    0:20:43 It’s beyond a game, it’s their life’s mission to satisfy their urge to track down basically
    0:20:46 a prey item and capture it.
    0:20:50 And so their urge to bite, they’ll literally chatter their teeth, and they’re building
    0:20:52 up and they just want to go for it.
    0:20:56 Now what ends up happening is sometimes at the end of that track, remember, the handler’s
    0:21:01 full of testosterone and adrenaline is just dumping.
    0:21:02 All the backups are like that too.
    0:21:06 The dog’s seen this picture before, this all, by the way, happens even before you get to
    0:21:10 the scene with the lights and sirens, the dog goes, it’s on, the dog gets its own type of
    0:21:11 adrenaline dump.
    0:21:15 And so you’re in a backyard, it’s all culminating to this point, and the dog knows, I’ve done
    0:21:19 my part, I found this guy, I’m going to take care of business.
    0:21:24 Problem is the guy’s giving up, the guy’s on top of a shed, and maybe this is the worst.
    0:21:28 He’s not giving up, he won’t come down, but the dog can’t get to him.
    0:21:32 And so the dog’s building frustration like, man, I know you’re there, man, I can’t get
    0:21:33 to you.
    0:21:35 And they finally hit a limit, you know what they do?
    0:21:40 They turn and bite the backup, they turn and bite the handler, oh yeah, it happens a lot.
    0:21:42 They have to unload.
    0:21:47 The best way I can explain it, remember, they’re animals, we’re animals too, but we are our
    0:21:57 most animalistic when we are enraged, when we are frustrated, maybe if we’re drunk, right?
    0:22:05 You combine all of that, and you might say, why would a guy ever smack or hit or punch
    0:22:09 his own loving girlfriend, and a guy that would never do that?
    0:22:12 I’ll tell you how that happens.
    0:22:18 He’s enraged, he’s frustrated, he’s got adrenaline pump in his system, he’s about to fight maybe
    0:22:22 another guy in the bar, and the fight’s probably over his own girl.
    0:22:27 And his girlfriend’s trying to hold him back, but he’s already determined, I’ve got to unload
    0:22:29 on this guy.
    0:22:32 Anything holding him back might get an elbow to the face, it’s not even personal at this
    0:22:34 point, it’s get off me.
    0:22:37 And the dog sometimes goes, will you just let go of the leash, man, I’ve got to go handle
    0:22:41 business, and sometimes they get frustrated, they’ll reach back, they’ll bite the leash,
    0:22:46 they’ll bite the handler’s hand, so that hopefully the handler lets go, and they can go handle
    0:22:47 business.
    0:22:48 Wow.
    0:22:53 So that’s what we call sometimes too much drive, uncapped drive, and we’re constantly
    0:22:56 with a really high drive dog, we’re always riding that razor’s edge.
    0:23:00 We want full horsepower, but sometimes as you know, if you go around a racetrack, you’re
    0:23:02 going to go off the racetrack if you go a little too fast.
    0:23:06 And is that why you want a beta, not an alpha?
    0:23:07 Alpha is.
    0:23:08 Ah.
    0:23:09 Yeah, so thanks for circling back.
    0:23:14 If you have two strong alpha males, meaning the handler and the dog, they’re just constantly
    0:23:19 vying for who’s the boss, and there are some police dogs out there, you might correct the
    0:23:24 behavior, you might teach the dog a lesson for that day, and the dog, and you may do this
    0:23:28 in training, it may happen because it’s planned, or it may happen, and you didn’t suspect it
    0:23:29 to happen.
    0:23:33 But one of those situations comes about where maybe the dog gets frustrated and he wants
    0:23:37 to bite, but sometimes in a training and in real life, it might not always end in a bite,
    0:23:41 so the dog doesn’t get what he wants, and so he’ll do something stupid, let’s say.
    0:23:44 Be non-compliant, go after the handler.
    0:23:46 The handler corrects that behavior and says, “Don’t do that.”
    0:23:50 The handler wins that battle, and then you got to repeat it all over again the next training
    0:23:51 day.
    0:23:55 And so there’s just these dogs that they’re just too tough for their own good.
    0:23:58 Now, a betadog is what I call second in command.
    0:23:59 It’s the general.
    0:24:02 It’s the general’s right-hand man, however you want to look at it.
    0:24:10 Very strong, very confident, physically fit, just a tougher, bigger dog, but likes being
    0:24:17 second in command, loves to, doesn’t want the alpha role, loves being second in command.
    0:24:20 Now what often people think about as a betadog is what’s considered an omega dog.
    0:24:21 That’s the runt of the litter.
    0:24:26 A lot of folks out there actually have omega dogs, and this would be the sign that you
    0:24:27 have an omega dog.
    0:24:30 There’s this, it’s what I call alarm barking.
    0:24:36 Someone knocks at the door, an alpha or a betadog is going to put a deep guttural bark.
    0:24:39 An omega dog usually does, you could call it an omega howl.
    0:24:43 It’s, they’re scared like, “Hey, so where does this all come from?”
    0:24:48 In the wild, wolf packs have alphas, they have betas, and they have omegas.
    0:24:51 Omegas are like super anxious dogs.
    0:24:54 They’re usually on the perimeter, and they are so quick to sound the alarm because they
    0:25:00 had generally just anxious dogs, so there might be a crack of a stick 50 yards away.
    0:25:02 The omega dog’s going to start howling immediately.
    0:25:04 It’s like paranoid.
    0:25:07 An alpha and omega is going to, excuse me, an alpha or a betadog is going to get up and
    0:25:08 see what’s going on.
    0:25:12 Now here’s one more thing that I find super interesting, and I read this in a book, it
    0:25:16 in the name will come to me in a minute, but it’s a gentleman who spent time living with
    0:25:19 a wolf pack in the wild for months.
    0:25:23 And so this is what he gained from it, among many things, but this is one thing that sticks
    0:25:24 to me.
    0:25:27 When he was trying to make inroads with the pack, he couldn’t just show up one day and
    0:25:28 be part of the pack.
    0:25:31 He would hang around, get near it, try to follow them.
    0:25:38 One day, one of the pack members came over to see who he was and what he was all about.
    0:25:42 And when you think about it, this gentleman poses a threat to the pack.
    0:25:48 So who from the pack, who should be selected to go check on that guy?
    0:25:49 That’s not going to be the omega.
    0:25:50 It’s too scarce.
    0:25:52 It’s not going to do that.
    0:25:56 So most people would say, oh, it’s the alpha, because he’s the toughest and the baddest.
    0:25:58 No, he’s the smartest.
    0:26:02 He basically, hey, beta, you’re big and bad, go over there.
    0:26:07 And oftentimes I think of betas as kind of dumb jocks, big and bad, but just ready to
    0:26:08 take an order.
    0:26:14 So when he went to go check that pack out, the beta male is what came over to him and
    0:26:19 basically checked him out to see if he was a threat or you are your friend or foe.
    0:26:22 And furthermore, are you tough enough to be part of us?
    0:26:35 And anyways, very interesting.
    0:26:38 Let’s suppose God forbid one day I’m a suspect.
    0:26:43 And I’m in a backyard and you are hunting me and this dog shows up, okay, knowing what
    0:26:47 you know, what would a smart suspect do?
    0:26:49 Give up.
    0:26:50 Give up.
    0:26:55 Yeah, there’s no, there’s nothing you can do really to hide your scent or evade it.
    0:26:59 These dogs have thousands upon thousands of years of development.
    0:27:02 Just they are, this is what they do.
    0:27:05 It’s very hard to hide your scent signature.
    0:27:11 And once the dogs on you, if the dogs trained right and it’s got the proper genetics, we
    0:27:15 train these dogs to not give up no matter what we call it the 1%.
    0:27:18 We train our dogs for the 1% say what is that?
    0:27:24 The kind of the argument goes rough math here, if you have 100 suspects and you pull a police
    0:27:29 dog out, right, you got a guy he’s not given up, you bring the dog out, you make the announcement,
    0:27:33 the dog barks around 50 people out of the 100 to say, you know what, man, I don’t even want
    0:27:34 to mess with that dog.
    0:27:36 I’m giving up right now.
    0:27:41 Then you’ll have the other 49 or so who will say, I heard the dog, but I’m going to keep
    0:27:42 in my hiding spot.
    0:27:44 Maybe he won’t find me.
    0:27:45 Yeah, maybe you’re right.
    0:27:47 Maybe you’re not.
    0:27:50 Dog finds you as soon as it bites you, they don’t want to play.
    0:27:54 We’ve had full grown men, they pee themselves, they poop themselves, and they scream for
    0:27:58 their mama, which I always find funny, grown men screaming for their mama.
    0:28:01 We could laugh about it or not, but it’s like, they’re terrified, you’re actually getting
    0:28:05 eaten by another animal and it’s not an everyday phenomenon and it hurts.
    0:28:06 But what about the 1%?
    0:28:12 The 1% of the guys that mentally deranged, they’re on drugs, they’ve been to prison before,
    0:28:13 they’re ready to die out there.
    0:28:16 They are not going back to prison no matter what.
    0:28:19 You could put a dog on them and we’ve encountered them in real life, I’ve encountered them.
    0:28:22 The dog is biting them, it doesn’t matter.
    0:28:25 You think the dog would handle business for you and it’d be over.
    0:28:27 Nope, it’s all hands on deck.
    0:28:30 You can bite them, you taser them, taser’s not working, you pepper spray them, it doesn’t
    0:28:31 matter.
    0:28:35 You’re going to fist fight for your life and you hope the dog stays in on the fight
    0:28:40 and a lot of dogs will, it’s all conceit for them when we train this for them.
    0:28:44 All this is a game of tug of war, by the way, and people ask like, how do you get a dog
    0:28:46 to bite someone?
    0:28:49 It’s just an elevated game of tug of war.
    0:28:53 We teach them as a young puppies, you see this little piece of rag or this little jute
    0:28:55 tug, just bite it and hold it.
    0:28:59 They’re natural prey draft to bite and hold and chase things and then we transition that
    0:29:03 from small little pieces of equipment to larger and larger pieces of equipment as they get
    0:29:06 bigger and their mouths get bigger and they get rid of their puppy teeth.
    0:29:09 Now they have adult teeth, now they bite the bite suit or the sleeve.
    0:29:12 It’s just a big old toy.
    0:29:17 Then the trick is now that we’ve got you biting this big bite suit, now we have to find interesting
    0:29:22 ways to teach you if the person’s not wearing a bite suit, you can still bite them and it’s
    0:29:24 okay, it’s just a game.
    0:29:29 Then you have some dogs that go their whole life thinking it’s a game and then they’re
    0:29:33 in the street and they get punched or kicked in the face.
    0:29:35 These bad guys out there now, they’re not getting any better.
    0:29:39 They’re stabbing police dogs, they’re biting their ears, biting them on the mouth and the
    0:29:44 last thing you want when you’re in an all out battle in the backyard, you don’t need
    0:29:50 a police dog backing out on you going, “I’ve had enough, this is not what I signed up for.”
    0:29:53 We’ve seen dogs do that, very scary to have.
    0:29:57 Can you imagine, it’s you and me guy and we’re going in, you’re a trained police officer,
    0:30:00 I’m a trained police officer and then we didn’t plan it, but this guy’s not going to jail
    0:30:05 and we got to get put hands on and as soon as you get punched, you’re like, “I’m checking
    0:30:08 out Garrett, I’m going to go to Dunkin’ Donuts to get a coffee and donut, I’ll see you in
    0:30:09 a bit, good luck to you.”
    0:30:16 And sometimes we’ve had dogs, I’m sure you’d hang around for a while but that happens and
    0:30:19 we don’t want that but what we train our dogs to do is that’s what I said, we’re looking
    0:30:24 for those dogs that maybe a little lean towards being a little too much to handle because
    0:30:26 these are the types of dogs that thrive.
    0:30:30 They’re like, “Oh, punch me in the head, no problem, I’ll just bite you harder.”
    0:30:33 And we need dogs that can stick it out for that two, three, four minutes or whatever
    0:30:36 it takes to get this kind of custody.
    0:30:43 My last canine question, which is earlier you said something like, “Now that you want
    0:30:49 dogs that have some social skills and the kids can pet them and all that kind of stuff.”
    0:30:54 And you said you say one magic word and that turns into an attack, so like literally you
    0:31:00 say one word and bada-bing, bada-bang, now that dog is a weapon.
    0:31:01 Yes.
    0:31:02 Is that a secret word?
    0:31:05 I mean, is it only a handler can say that?
    0:31:13 No, it can be literally made up words, it can be a sound, it can be, oftentimes these dogs
    0:31:18 are trained in either Dutch commands, French commands, German commands, “Hey, but here’s
    0:31:23 a fancy one, you know the French command to bite someone or to attack?”
    0:31:24 It’s attack.
    0:31:29 It’s not really a secret, but it’s more to it than that, it isn’t, it isn’t because
    0:31:32 usually there’s a build up to this and the dogs are really interesting, man.
    0:31:36 They love their routines and habits and there’s cues, right?
    0:31:38 Everything’s with classical conditioning.
    0:31:40 Everything you do to train a dog, whether it’s a police dog or a pet dog, it’s all
    0:31:43 classical conditioning, meaning pairing.
    0:31:47 And we go back to Ivan Pavlov, ring the bell, present food.
    0:31:50 The bell didn’t mean anything to the dog before, just like the French dog, when it
    0:31:54 hears attack, they don’t speak French, they don’t speak English, that word doesn’t mean
    0:31:55 anything to them.
    0:31:59 A lot of people tell their dogs, no, I’m like, does your dog even know what no means?
    0:32:03 Because you just told it no, get off the couch and it’s still on the couch.
    0:32:06 So it’s either not listening to you or more likely it doesn’t speak English, it doesn’t
    0:32:10 know what you’re saying because no has no, there’s nothing behind it.
    0:32:16 Anyways, back to Ivan Pavlov, he found that the secret formula is ring bell and exactly
    0:32:20 a quarter second later, there’s room for error there, but around a quarter second later,
    0:32:25 if you ring the bell and present food, you will now classically condition that the bell
    0:32:26 means food.
    0:32:27 How do we know that?
    0:32:31 Because after so many reps, he would ring the bell, no food in sight, but the dog salivating.
    0:32:32 So it’s a mind trick.
    0:32:34 The bell equals food.
    0:32:38 Now that’s technically what the attack command would be, and it could be a bell.
    0:32:43 You could ring a bell and say, except it’s not bell equals food, it’s bell equals bite.
    0:32:47 And so we create that phenomenon if you will, but there’s more than just the verbal cue.
    0:32:48 They can smell it.
    0:32:51 They hear the police sirens and they get jacked up.
    0:32:55 When you put the tracking harness on, a lot of times that means go time.
    0:32:57 They know what that equipment means.
    0:33:01 With our police dogs, I always find this an interesting fact, both for my father, myself,
    0:33:04 they don’t know what day of the week it is.
    0:33:09 So if you work a Thursday night shift, they don’t know that it’s Thursday, but they see
    0:33:13 you get out of the shower and you’re going to get dressed and they kind of look.
    0:33:16 They’ll wait till you put the pants on.
    0:33:18 They will walk over and smell the pants.
    0:33:20 Is that the polyester pants that my dad goes to work in?
    0:33:21 Yes, it is.
    0:33:23 And they’re like, they’re ready.
    0:33:28 They start waiting by the door or some dogs would take a nap, like a little pregame nap.
    0:33:31 But they smell to see what you’re wearing because it’s classically conditioned.
    0:33:34 When I smell polyester pants, we’re going to work.
    0:33:39 But if they come over and smell blue jeans, man, I’ll go chew a bone because dad’s not
    0:33:40 taking me tonight.
    0:33:43 So all of that’s classically conditioned.
    0:33:44 It’s pretty cool.
    0:33:48 And speaking of Pavlov and classical condition, is that the role of the clicker?
    0:33:51 I saw you in many videos using a clicker.
    0:33:52 The clicker is now the reward.
    0:33:54 Just hearing it.
    0:33:55 Yes.
    0:33:56 Yes.
    0:33:59 It is all about what we call marker system or marker training.
    0:34:00 That’s different names.
    0:34:01 It all means the same thing.
    0:34:03 I like to use the marker idea.
    0:34:04 Some people call it clicker training.
    0:34:07 The whole point by it, you’re exactly correct.
    0:34:11 When you first click, it doesn’t mean anything to the dog.
    0:34:13 But when we expose it, it’s click.
    0:34:14 And guess what?
    0:34:19 The secret sauce, a quarter second later, preferably present food or a treat or a toy.
    0:34:21 Click equals party.
    0:34:23 Click equals awesome.
    0:34:28 And so what it allows us to do is consider it a bridge so that if you’re 50 feet away
    0:34:33 from a dog, for instance, and you tell it to down and it nails it, dogs kind of have
    0:34:35 horrible short term memory.
    0:34:40 And so they say you have a three to five second window to let the dog know whether it did
    0:34:42 right or it did wrong.
    0:34:45 And I think the difference between a good trainer and a great trainer or in this case
    0:34:51 a good owner and a great owner in this forest communicating with your dog is timing is everything
    0:34:52 in dog training.
    0:34:55 I don’t think three to five seconds is like on the extreme end.
    0:34:59 I like to mark behaviors within milliseconds.
    0:35:03 So we say down, the dog drops into a down.
    0:35:08 We need to be able to communicate to that dog at the speed of sound.
    0:35:09 I love that.
    0:35:12 So the second he hits the ground, we’re going to click.
    0:35:16 And that’s letting him know what you did right there was perfect.
    0:35:20 Now let’s contrast that with we tell the dog down, he drops into a down.
    0:35:21 We’re happy with that.
    0:35:25 We’re so happy that we walk over with food to pay him for that down.
    0:35:29 By the time we get over to him, he breaks it down, comes into a sit and maybe takes a
    0:35:31 couple of steps towards you.
    0:35:34 Once he does that, he breaks the sit and the down, he’s in the city, comes towards you
    0:35:35 and now you pay him.
    0:35:36 What did he get paid for?
    0:35:42 Did he get paid for the down that was 20 seconds ago, or is he getting paid for breaking?
    0:35:44 And that’s the beauty of a marker system.
    0:35:50 One advantage would be the ability to mark literally like a timeline right here is where
    0:35:51 you did perfect.
    0:35:55 So when I walk over and pay you 20 seconds later, you know what I’m paying you for is
    0:35:58 for the click you heard earlier.
    0:36:00 So it buys you a little more time.
    0:36:06 Don’t dogs figure out that how come sometimes there’s a click and I get food and sometimes
    0:36:07 there’s a click and I don’t get food.
    0:36:09 I’m confused.
    0:36:10 Sure.
    0:36:11 Two ways to answer that.
    0:36:14 One is when you click, you always give food.
    0:36:16 It’s a guarantee of payment.
    0:36:17 It’s a promise of payment.
    0:36:18 You will get paid.
    0:36:24 However, when you get more advanced in training, we bring up the idea of, there’s a scientific
    0:36:30 name for it, Robert Sapolsky is a neuroscientist, I believe, and he does a lot of experiments
    0:36:35 with primates and things like that, and they’ll put them in like a skinner box and they’re
    0:36:39 hooking up things to the brain and checking blood, but they’re really looking for dopamine
    0:36:40 dumps.
    0:36:42 So he talks about like the dopamine hit.
    0:36:47 And so what they found is when you introduce, let’s say, let’s just go with that for a
    0:36:48 minute.
    0:36:51 And he has a really killer, maybe 15 or 20 minute video on it on YouTube where he talks
    0:36:55 about variability of rewards.
    0:36:56 And we can talk about this.
    0:36:58 I find this so interesting.
    0:37:05 If you put a monkey in a cage, and if he knows that every time he pulls the lever, he’ll
    0:37:10 get a treat, some kind of banana or whatever he’s into, you can check the dopamine levels
    0:37:11 of that creature.
    0:37:16 And then maybe in the very beginning, it’ll be excited about this game, but then it stops
    0:37:20 being fun for the animal because it’s so repeatable.
    0:37:21 It’s so known.
    0:37:24 I’m going to pull it, I’m going to get something.
    0:37:30 He says, but when you introduce the idea of maybe you might, you could, you might not,
    0:37:32 it makes them crazy in a good way.
    0:37:35 They start pulling this thing and they’re pulling and pulling and they’re pulling.
    0:37:37 They know the pulling will work.
    0:37:39 They just don’t know when they’re going to get paid.
    0:37:44 The way I equate that to is people do not go to the casino because they know they’re
    0:37:45 going to win.
    0:37:49 They go for the hope or the chance that they might win.
    0:37:53 And this I find, I love this is the example I use, hopefully you like this.
    0:37:56 This is where the idea of the clicker can get charged up.
    0:38:01 And we say the clicker is more powerful than the actual reward itself.
    0:38:02 So what are you talking about?
    0:38:04 Whether it’s a clicker, there’s verbal markers.
    0:38:07 You can use yes in place of the clicker, whatever.
    0:38:10 What we end up doing, let’s just take this example.
    0:38:14 You got a 40 year old guy, doesn’t leave his house very often.
    0:38:16 He ends up going to Vegas for some business trip.
    0:38:17 He goes into a casino.
    0:38:19 He’s never played a game in his life.
    0:38:21 He goes in, he’s got 20 bucks to spend.
    0:38:22 He goes, well, I’m here.
    0:38:23 I might as well play.
    0:38:26 He’s got 20 bucks in the machine and he pulls the lever.
    0:38:33 When he pulls the lever, the lights and sounds go off and like 30 grand comes out and he
    0:38:34 gets a huge dopamine hit.
    0:38:36 He goes, Mike, this is amazing.
    0:38:37 And he really needed that money.
    0:38:38 It’s perfect.
    0:38:39 So he calls his mom, his girlfriend.
    0:38:41 He goes, I just, you believe it?
    0:38:44 I just won 30 grand on my first pull and he’s set.
    0:38:45 He’s done.
    0:38:46 He takes that money and he runs.
    0:38:50 That would be the dog’s first exposure to click reward.
    0:38:55 Now what ends up happening is he ends up spending that 30 grand and now he can’t wait to come
    0:38:56 back into the casino.
    0:39:00 So he comes back a couple of weeks later and he goes to that same machine and he brings
    0:39:01 another 20 bucks.
    0:39:05 He puts the 20 bucks in and he pulls the lever, but nothing happens.
    0:39:06 Let’s all try again.
    0:39:08 Of course he’s going to try again.
    0:39:09 He’s feeling lucky.
    0:39:10 He keeps pulling.
    0:39:11 He keeps pulling.
    0:39:12 Man, nothing’s happening.
    0:39:19 He pulls and that same sound comes on the lights and everything, huge surge of dopamine.
    0:39:20 He’s already pulling his phone out.
    0:39:21 He’s calling his mom.
    0:39:22 I won.
    0:39:23 I won.
    0:39:30 I knew I was a winner and then he looks to see what the payout is, $5, but he got the
    0:39:31 dopamine hit.
    0:39:35 He got the same dopamine hit, whether it was five bucks or $500,000.
    0:39:39 He still got that hit and that’s what ends up happening potentially with the clickers
    0:39:40 and we do the same.
    0:39:42 So we do variability of rewards.
    0:39:44 When we click, sometimes you get one piece of food.
    0:39:49 Sometimes you get 30 pieces of food and then we always end on, guess what?
    0:39:51 Click a gambler on a jackpot.
    0:39:55 So the dog, when it comes out to train with us, never knows when the jackpot’s coming.
    0:39:59 There’s also different markers called duration markers, which is to let the dog know again
    0:40:00 at the speed of sound.
    0:40:01 I like what you’re doing.
    0:40:02 Keep doing it.
    0:40:04 You’re on the right path, but I’ll pay you soon.
    0:40:06 I’m not going to pay you for this one.
    0:40:07 You just keep on doing that.
    0:40:08 So we might tell the dog down.
    0:40:09 It’s holding a beautiful down.
    0:40:11 We’re going to let it know good.
    0:40:13 Good is what we use for a duration marker.
    0:40:14 Some trainers use it.
    0:40:15 Some people don’t.
    0:40:16 I like to use them.
    0:40:17 I like what you’re doing.
    0:40:18 Keep doing that.
    0:40:22 When I walk over, maybe the dog’s held it down, stay for 10 minutes, yes, or click.
    0:40:38 And then I give it a big old jackpot and say, this is all your hard work paying off.
    0:40:40 I want to move into broader areas.
    0:40:42 I got the canine part now.
    0:40:45 So can you just address for me?
    0:40:49 How accurate are these stereotypes of dogs?
    0:40:51 Should everybody be afraid of pit bulls?
    0:40:54 But then every time you hear that story, there’s a counterpoint.
    0:40:55 No, it’s the breeder.
    0:40:56 It’s the owner.
    0:40:57 It’s not the pit bull.
    0:40:59 Pit bulls are not inherently bad.
    0:41:04 So are there stereotypes that are actually true about dog breeds that people should be
    0:41:05 aware of?
    0:41:07 Yes and no.
    0:41:11 And very sensitive topic, depending upon who you’re asking.
    0:41:13 Yes, but again, a strong no.
    0:41:16 I’ll give you an example, golden retrievers.
    0:41:19 It’s like America’s golden child, that in the Labrador.
    0:41:24 Generally speaking, they’re great with families, great with other dogs.
    0:41:28 You don’t really see Labrador’s or golden retrievers doing police work.
    0:41:29 You never see that.
    0:41:33 Yes, they do explosive detection, but I’m talking about utility dogs, or other words
    0:41:34 apprehension or bite dogs.
    0:41:37 You’re never going to see a Labrador or golden retriever do that.
    0:41:38 Why?
    0:41:40 They just don’t have the genetic predisposition for that.
    0:41:41 They’re retriever dogs.
    0:41:45 In fact, their golden retrievers have what they call a soft mouth.
    0:41:50 They were trained or genetically selected over, I don’t know, I wouldn’t say maybe 100s of
    0:41:54 years, 100 or 200 years, however long they’ve been developing that particular breed.
    0:41:58 I’m not a golden retriever expert by any means, but they didn’t want the golden retriever
    0:42:02 or other retriever type dogs to go out there, find the duck that they just shot, and squish
    0:42:04 it and crunch it on the way back.
    0:42:06 They wanted that soft mouth.
    0:42:11 So when you try to take a golden retriever, I’m not saying it couldn’t be done.
    0:42:15 Really going against nature, mother nature, trying to get a golden retriever to bite a
    0:42:16 bad guy really hard.
    0:42:17 Could they do it?
    0:42:18 Yeah.
    0:42:21 Maybe you could probably over train it with that perfect dog.
    0:42:22 You might find it.
    0:42:28 Now, one of the meanest dogs I’ve ever met in my life was a Labrador retriever named Bronco.
    0:42:30 That’s a mean son of a gun.
    0:42:34 And he was an explosive detection dog.
    0:42:40 He had some of the worst, what they call food aggression and also barrier aggression.
    0:42:42 So he was okay with you when he was out of the crate.
    0:42:46 As soon as you could pet him, and he’d like it, as soon as you put him in the crate and
    0:42:50 close the door, he’d spin around and fire off and let you know he’s my crate back off.
    0:42:52 You put food down, back up.
    0:42:53 Mean son of a gun.
    0:42:56 I would never let that dog around any of my kids or anybody else’s kids.
    0:42:57 But he’s a Labrador retriever.
    0:42:59 So there’s variations on a theme.
    0:43:02 Yes, generally speaking, like we’ll talk about pit bulls.
    0:43:06 I think pit bulls can be some of the sweetest, nicest dogs on the planet.
    0:43:08 I’ve not personally owned any.
    0:43:09 I’ve trained a ton of them.
    0:43:10 My old roommate had one.
    0:43:12 That dog wouldn’t hurt a fly.
    0:43:18 However, if you get a pit bull that isn’t properly trained, maybe with improper genetics,
    0:43:23 and they have tremendous drive, what makes pit bulls so dangerous is they have incredible
    0:43:24 levels of drive.
    0:43:25 Remember we go back to that.
    0:43:28 They have those 1,500 horsepower engines.
    0:43:31 Not all of them, but a lot of them do.
    0:43:38 And because of how they bred those dogs back in the day, they wanted those dogs in the
    0:43:45 pits to first go after rats, bears, and then other dogs, and maybe not in that particular
    0:43:46 order.
    0:43:47 We did a little research on it.
    0:43:49 Like where did this come from?
    0:43:56 And then they outlawed the blood sports over in the UK with the pits going after each other.
    0:43:58 It still happens to the state underground.
    0:44:03 I call it misplaced prey drive, and it still runs in the bloodlines of some of these dogs,
    0:44:10 where through man’s genetic breeding selection, we have six dogs came out of this litter.
    0:44:12 These two are too soft.
    0:44:13 These two got it.
    0:44:17 They’re going to continue that down the line, and what it could be is what I call misplaced
    0:44:18 prey drive.
    0:44:23 I’m not saying this perfectly, but you understand, man tinkering with the breeding program.
    0:44:24 That’s how breeds come about.
    0:44:27 Anyways, golden retrievers didn’t exist 10,000 years ago.
    0:44:33 All breeds come from the wolf, a chihuahua comes from the wolf, 99.9% of the same genetics.
    0:44:37 In fact, the chihuahua and a great dane, 99.999% same genetics.
    0:44:43 Anyhow, point being pit bulls have sometimes what I call misplaced prey drive, meaning
    0:44:47 they look, we would think nothing of my personal dog.
    0:44:50 If he sees a squirrel or a deer, it’s game on.
    0:44:52 And we’d go like, yeah man, good for you.
    0:44:53 Go chase that squirrel.
    0:44:54 That’s what you’re bred to do.
    0:44:55 You want to chase things.
    0:44:56 Good for you.
    0:44:59 What happens, however, and I’ve seen it a few times, and it’s scary when you witness
    0:45:02 it, where a pit bull, and it doesn’t have to be a pit bull, and they’re not picking on
    0:45:03 that breed.
    0:45:07 But some of these dogs have a misplaced prey drive where they look at another dog as a
    0:45:09 prey item, and they go, I want to chase that.
    0:45:13 I want to chase that down, grab it by the neck, and shake it, just like I do with the
    0:45:16 squirrel, except I want to do it to that dog.
    0:45:19 And it’s an anomaly that they just kept breeding.
    0:45:22 I don’t know how it came about, but it came about.
    0:45:27 But anyways, going back to your original question, yes, there’s generalities, but rottweilers
    0:45:29 can make great home protectors.
    0:45:33 There’s also rottweilers out there that are big, fat, and lazy and wouldn’t hurt a fly.
    0:45:36 So yeah, you’re hedging your bet when you get the right breed.
    0:45:41 But there’s no guarantee that even if you get the breed that kind of fits your lifestyle,
    0:45:45 so you hope, there’s no guarantee that the dog will be exactly what you want now.
    0:45:52 So we always say when it comes to dogs, I’ll end with this, 50% genetics, 50% of what you
    0:45:54 put into it training.
    0:45:56 That’s how you can get the dog to be where it’s going to be.
    0:45:59 But you’ll never get a chihuahua to be a police dog.
    0:46:03 The genetics aren’t there, but you can have a dog with perfect genetics, primed and ready
    0:46:08 to do X, let’s say police work, but if you don’t put in the training, it’s not going
    0:46:09 to get there either.
    0:46:10 Okay.
    0:46:18 So if it’s 50% genetics and 50% training, what happens when you go to the humane society
    0:46:20 or you go and you rescue a dog?
    0:46:22 So you’re not sure about the genetics.
    0:46:25 You’re not sure about the dog’s history.
    0:46:28 I tell you, we’ve had several rescue dogs and they were great dogs.
    0:46:29 I don’t know.
    0:46:34 Are you telling me that rescue dogs is like rolling the dice, you know, you’re just shooting
    0:46:36 crabs there?
    0:46:40 That’s exactly what I call it, but it’s a roll of the dice.
    0:46:46 Even when you go to a reputable breeder of any breed of your choice, it’s still a roll
    0:46:47 of the dice.
    0:46:48 You don’t know what you’re going to get.
    0:46:53 Yes, you’re hedging your bet a little more, but there’s no guarantee.
    0:46:57 The benefit though of, here’s how you’re hedging your bet a different way.
    0:47:01 When you buy a puppy from a breeder, those puppies are eight weeks old.
    0:47:05 You get that kind of rough idea what that dog’s going to be like, but that’s kind of
    0:47:06 like me.
    0:47:11 I could go to the preeminent researcher, scientist who studied human behavior and understands
    0:47:13 childhood development.
    0:47:16 And I can say, we’ll go to a nursery and I’ll say, you see all these babies, they were just
    0:47:18 born in the last 48 hours.
    0:47:20 Which one of these is going to become a CEO?
    0:47:22 Which one’s going to become a drug addict?
    0:47:23 You don’t know.
    0:47:24 You don’t know.
    0:47:25 Now you could look at the genetics.
    0:47:30 You could see who mom and dad are, but even that doesn’t predict everything because, again,
    0:47:32 that’s the nature versus the nurture.
    0:47:34 Why is Elon Musk who he is?
    0:47:35 I don’t know.
    0:47:37 Is it how he was raised?
    0:47:39 Or is it something genetic going on there?
    0:47:42 Are his kids going to turn out to be successful like him?
    0:47:43 Who knows?
    0:47:45 Now what happens when you go to a shelter?
    0:47:49 The good news is where you can hedge your bet in a different way is now some of these
    0:47:53 dogs are already six months old, one years old, two years old.
    0:47:58 Now we take that same person, the researcher who knows human behavior.
    0:48:02 Now I get him in a room with argument’s sake.
    0:48:07 It’s a whole room of 20 and 30-year-olds, maybe 40-year-olds, and I’m like, look, I’m
    0:48:12 not going to tell you what these people do for a living, but you can spend 15 minutes
    0:48:13 with each of them.
    0:48:14 You can test them.
    0:48:18 And that researcher will probably be able to tell you, hey, who’s a drug addict?
    0:48:21 Who tends to be shy, outgoing?
    0:48:23 Because your personality is set.
    0:48:25 Why am I saying all of this?
    0:48:29 Dogs are fully physically and mentally mature around two years old.
    0:48:34 But the older they get, meaning six months old, nine months old, especially around 12
    0:48:37 months old, the personality is pretty set.
    0:48:43 So we just use the contrast of babies in a nursery and a room of 20, 30, and 40-year-olds.
    0:48:45 What about that middle ground?
    0:48:51 Maybe a 10, 12, 14-year-old kid will still have a much better idea at 10, 12, or 14-years-old.
    0:48:52 What is that?
    0:48:56 That’s the puppy around six months, eight months, nine months, 10 months old.
    0:48:59 We’re going to have a much better idea what that puppy’s going to turn out to be.
    0:49:03 That’s why you’re not seeing police agencies, among many other reasons, selecting eight-week-old
    0:49:05 puppies and crossing their fingers is going to be a police dog.
    0:49:09 No, we’re going to hedge our bet by waiting to see how their personality develops.
    0:49:13 So when you go to a shelter, that’s the added benefit is you can meet with maybe that dog
    0:49:15 that is two, three, four years old.
    0:49:17 What you see is what you get.
    0:49:19 That’s the dog’s personality.
    0:49:20 Can we cheat it a little bit?
    0:49:22 Of course we can.
    0:49:28 Just like you can come across maybe a 30-year-old who has been addicted to smoking for the last
    0:49:32 five or 10 years, there’s still hope that we can get him to quit smoking.
    0:49:37 So if you have a two- or three-year-old dog that’s in the shelter and they have habitually
    0:49:41 been peeing in the house, you can break the habit, right?
    0:49:42 They’re probably in there for a reason.
    0:49:44 A lot of these shelter dogs are in there for a reason.
    0:49:50 There’s some bad habit, jumping, barking, biting, bad potty training.
    0:49:52 Bad manners in general.
    0:49:58 A good trainer can go in there and get that 50% that was missing, the training, and see
    0:49:59 what they can do with it.
    0:50:00 There’s no guarantee.
    0:50:04 There’s some dogs that are a lost cause, and I’ll end with this, and I think this will
    0:50:07 really blow your mind.
    0:50:10 Because we get these calls a lot with dogs.
    0:50:11 Hey, I’ll give you an example.
    0:50:14 Hey, I have a four-year-old dog right off rip.
    0:50:17 I’m like four years old, pretty set in their ways.
    0:50:19 In fact, the older they are, the more set in the ways there are.
    0:50:23 It’s a Rottweiler, again, breed or not, it doesn’t matter.
    0:50:25 And it’s bitten six people.
    0:50:27 And the last two, it’s sent to the hospital.
    0:50:28 Can you fix it?
    0:50:30 I’m like, oh my God, man, I don’t know.
    0:50:32 There’s no guarantee there.
    0:50:37 We might not fix it, but we might get it to be more manageable, help you understand what’s
    0:50:38 getting that dog.
    0:50:41 But anyone coming across, say, 100% I’ll fix that, they’re lying to you.
    0:50:42 Because we don’t know.
    0:50:43 Because this is where it makes sense.
    0:50:45 You ready for this one, guy?
    0:50:51 If I gave you, and I went to the most, again, preeminent, behaviorist, psychologist, so
    0:50:53 you could be a whole room full of them.
    0:50:59 And I hand them a 40-year-old pedophile who’s committed crimes in the past.
    0:51:02 And I say, can you fix him and make him not a pedophile anymore?
    0:51:03 I don’t know if you can do that.
    0:51:05 You can do a lot of things.
    0:51:09 But would you ever trust that human in a room with your kid?
    0:51:12 No, just like I probably wouldn’t ever trust that four-year-old Rottweiler.
    0:51:13 It’s already bit six people.
    0:51:15 I don’t care how much training you throw at it.
    0:51:16 Can we make it better?
    0:51:17 Yes.
    0:51:18 Would you ever trust it 100%?
    0:51:19 No.
    0:51:24 Are you telling me these dog whisperer shows, it’s like bullshit when they take this, in
    0:51:28 the first part of the thing, they take the Rottweiler, it’s bitten six people, and then
    0:51:32 at the end of an hour, this is a perfect family dog.
    0:51:35 Is this like all bullshit in Hollywood then?
    0:51:36 No.
    0:51:37 No.
    0:51:39 I mean, of course, there’s a little bit of movie magic going on because it’s not happening
    0:51:41 usually in one hour.
    0:51:45 A lot of those shows, they’re taking the dog and taking it over a month or two or whatever
    0:51:49 it is, and bringing it back, and yeah, absolutely, you can have, we’ve done this, we’ve been
    0:51:53 able to do this, and yet honestly, sometimes you can do it as little as 15 or 30 minutes.
    0:51:57 You can absolutely transform a dog.
    0:52:02 Sometimes what we find in homes where these dogs are wiling out, they’re just misbehaved.
    0:52:06 It’s just basically a lack of leadership and a lack of know-how.
    0:52:07 What would the example be?
    0:52:11 You remember those old Maury Povich talk shows, and whether it was Maury Povich or not, but
    0:52:16 they bring those kids in that are like 15, 16, 18 years old, and they’re really just
    0:52:19 bad kids, mouthing off at the mom.
    0:52:23 Mom seems to have no semblance of control, usually a single-family household.
    0:52:29 There’s just no one putting rules, and this kid’s out of pocket, sneaking out, maybe getting
    0:52:30 pregnant at a young age.
    0:52:32 You know all that stuff, and then the drill sergeant comes in.
    0:52:36 Remember that, and then the drill sergeant would come in and get in the kid’s face,
    0:52:40 and now this hard kid that was mouthing off to everybody in the audience, and Maury Povich
    0:52:44 himself or whoever it was, all of a sudden starts crying.
    0:52:46 You see a completely different look on the same person.
    0:52:48 It just depends who’s in the room.
    0:52:51 Now, and then they said that kid away to some kind of boot camp.
    0:52:56 It comes back two, three, four weeks later, back on the show, and it’s hugging their mom,
    0:52:58 and it’s apologizing, and it’s like there’s a transformation.
    0:53:00 Does it work 100% of the time?
    0:53:04 No, but yeah, you can absolutely have some huge transformations.
    0:53:11 It just, that’s what I love about dogs is they can be molded, and they can change very
    0:53:18 quickly with proper leadership, with proper tools, with proper timing, all the good stuff.
    0:53:21 But a lot of owners just don’t know what to do.
    0:53:23 They’re like, “I was just reading one today on Instagram DMs.
    0:53:28 My dog’s jumping on me, and it jumps on me, and it bruises me, and I tell it no, but it
    0:53:29 doesn’t seem to help.”
    0:53:32 I’m like, “That’s because your no doesn’t mean anything.
    0:53:33 You could tell it banana.
    0:53:35 It’s not going to stop your dog from jumping on you.
    0:53:39 It’s a self-rewarding behavior, it jumps on you, you fall to the ground, the dog gets
    0:53:42 enjoyment out of that, thinks you’re playing.
    0:53:44 Maybe you pet it when it jumps on you.”
    0:53:46 So, of course, that’s not going to stop you.
    0:53:49 In that specific example, what are you supposed to do?
    0:53:54 Sure, so a dog that has bad behaviors, pulling on the leash, jumping on your counter and
    0:53:59 stealing food, jumping on you, these are all typical behaviors, maybe chewing on a couch.
    0:54:04 All of these are in the same category in the sense that it’s a self-gratifying behavior.
    0:54:09 So, if you just leave the dog to its own devices, it’s going to repeat it, because every single
    0:54:13 creature on the planet, humans included, not to get too deep in the science of this, but
    0:54:16 we’re talking about operant conditioning, right?
    0:54:23 Either the behavior is reinforced with a reward or it’s diminished with a punishment.
    0:54:29 If your dog jumps on the counter, even if you yell no at it, if it grabs your sub sandwich
    0:54:34 and eats it, and I cannot wait until Elon Musk gets that neural link for dogs, I want
    0:54:38 to communicate with him, I’d love to hear what they have to say, and I say this to owners
    0:54:39 all the time.
    0:54:44 I said, “If we put neural link on your dog right now, and I asked your dog in your home
    0:54:49 with you, your husband, and your kids, hey, Fido, who runs this household?”
    0:54:51 “Oh, I do.
    0:54:53 Who’s this lady right here, your mom?”
    0:54:54 “Oh, she works for me.
    0:54:58 She scratches my belly and she picks up my poop.
    0:54:59 What about this guy?”
    0:55:00 “Oh, he’s an idiot.
    0:55:01 He just sits on the couch.
    0:55:02 He does nothing.
    0:55:03 He’s useless.”
    0:55:06 I’m like, a lot of times, these dogs that are out of control, no leadership, no guidance,
    0:55:10 just like you might say a kid, most of these kids that are out of control these days lack
    0:55:14 of good parenting, strong parents, I’m not trying to make this a sociological political
    0:55:16 discussion, but you see the same thing happening.
    0:55:21 Raising and training a dog is a lot like raising and training a kid, but how do you fix it?
    0:55:25 Well, self-gratifying behavior, so a lot of trainers out there, especially the ones
    0:55:31 you just see on TV in this softer and gentler and kinder society we live in would say, “Well,
    0:55:33 you just ignore the behavior, it’ll go away.”
    0:55:34 That’s a lie.
    0:55:36 It’s plain and simple.
    0:55:39 If you put a sub sandwich on the counter, what happens is the dog knows what happened
    0:55:40 last time.
    0:55:43 So not the best short-term memory, and we’ll come back to this in a minute.
    0:55:46 Remember that it means short-term and long-term memory in a dog.
    0:55:48 Long-term memory in dogs is great.
    0:55:53 Next time they smell that turkey sub sandwich on the countertop, they go, “Man, I remember
    0:55:54 what happened last time.
    0:55:56 That sub sandwich was on the counter.
    0:55:57 I jumped up.
    0:55:58 I ate it.
    0:56:00 I felt better.”
    0:56:04 Dogs are always trying to improve their position in life at every moment of every day.
    0:56:05 So they smell that turkey sandwich.
    0:56:07 Of course they’re going to jump up and get it again.
    0:56:09 There was no consequence last time.
    0:56:13 So now what we have to do is institute a positive punishment, is what it’s called.
    0:56:17 This is going to confuse some of your listeners, but on the operant conditioning chart, the
    0:56:20 only way you change behavior in both humans and dogs and every other creature on the planet
    0:56:23 is through positive punishment.
    0:56:24 And by the way, it does not mean good.
    0:56:26 It just means the addition of.
    0:56:29 So let’s just call it adding a punisher.
    0:56:31 You could also do a negative punishment.
    0:56:32 So what the hell is that?
    0:56:36 That’s removing something from the equation that creates a punishment.
    0:56:38 So the example there would be, you tell your dog to down.
    0:56:40 It sits instead.
    0:56:41 No payment.
    0:56:42 And the dog’s like, “Oh, man.
    0:56:43 I’ve got to try again.”
    0:56:45 So negative punishment is very powerful also.
    0:56:48 A negative punishment in the example of the sub sandwich on the counter would be it jumps
    0:56:52 on the counter, but you remove the sub sandwich, and you wash your hands, repeat that.
    0:56:54 So good luck, good timing.
    0:56:56 By the way, that just sometimes ends up builds more drive.
    0:56:59 Let me jump faster and try to get it before you get it.
    0:57:01 So back to how do you fix it?
    0:57:05 The only way you’re going to decrease that behavior from happening again is by adding
    0:57:06 a punisher.
    0:57:11 And the punisher in this instance is going to be, for instance, a leash pop correction.
    0:57:14 So there’s a leash hooked up to the dog.
    0:57:16 This is where it gets a little weird.
    0:57:18 Everything is about timing.
    0:57:23 For the short-term memory idea, you have to set the dog up to make the mistake that you
    0:57:24 know it’s going to make.
    0:57:25 It’s made it in the past.
    0:57:28 We know it’s going to make the same mistake in the future.
    0:57:35 What would be unfair is to put the sub sandwich down, walk out of the room, come back in.
    0:57:36 The dog ate the sandwich.
    0:57:39 And as it’s licking its chops, and it’s only been, you know, the dog’s going to eat a sub
    0:57:44 sandwich in about 10 seconds, 30 seconds later, the sandwich is gone.
    0:57:47 You cannot go over there and punish the dog.
    0:57:49 It has no idea what happened.
    0:57:50 It forgot it ate the sandwich.
    0:57:52 It said, “What are you talking about?”
    0:57:55 Of course, and then some people say, “But the dog had the look of guilt on its face.”
    0:58:00 It had the look of guilt because it saw that dogs can read our emotion.
    0:58:02 They can smell our frustration, right?
    0:58:06 They actually, the pheromones that we’re putting off, they can see the look in our eye.
    0:58:10 And then we turn and look at our dog like this and go, “Fight oh!”
    0:58:13 And the dog goes, “Oh, I don’t know what I did, but mom’s pissed.”
    0:58:16 And they go, “See that look of guilt?”
    0:58:20 Dog does not remember, and the people can’t wrap their head around that.
    0:58:21 So they go and punish the dog.
    0:58:22 Where does this happen a lot?
    0:58:24 Potty accidents.
    0:58:27 You leave the house for eight hours, you come back, the dog’s peed or poop somewhere.
    0:58:30 I don’t know if that happened five minutes ago or five hours ago.
    0:58:35 You cannot punish your dog for something that they don’t even remember happened.
    0:58:36 You missed the moment.
    0:58:39 Remember, we said three to five seconds to capture behavior and let the dog know it’s
    0:58:41 either good or bad.
    0:58:42 But people say, “No, the look of guilt.”
    0:58:44 I’ll say, “Let me switch it on.”
    0:58:45 You forget the punishment.
    0:58:51 You tell your dog to down in the kitchen before you leave for work and the dog does
    0:58:52 it.
    0:58:54 Then you get in your car, you go to work and come back eight hours later.
    0:58:56 Of course, the dog’s not going to be in a down.
    0:58:59 It might be, who knows what, running around the backyard.
    0:59:04 How on earth can you give that dog a treat eight hours later for the down it did?
    0:59:08 There’s no trainer on the planet that will be able to tell the dog eight hours later,
    0:59:10 “Hey, you know that down you did eight hours ago?
    0:59:11 Here’s a treat for that.”
    0:59:12 Okay.
    0:59:13 So the same concept, right?
    0:59:15 If it makes sense that way, of course, it makes sense the other way.
    0:59:19 How can you punish a dog for the PP action that did even 30 minutes ago?
    0:59:20 Three to five seconds is the window.
    0:59:24 So the point being, what I was getting at is, when you try to fix a behavior in a dog,
    0:59:26 we do what’s called a setup for failure.
    0:59:29 It seems evil, but it’s the most fair thing you can do.
    0:59:32 We know the dog has the likelihood of jumping on people.
    0:59:33 When does it happen?
    0:59:34 When they come in the front door.
    0:59:36 We know the dog likes to jump on the counter and eat food.
    0:59:37 When?
    0:59:38 When we put the food on the counter.
    0:59:39 Perfect.
    0:59:40 So you put everything in place.
    0:59:41 It’s a setup.
    0:59:42 The dog doesn’t know.
    0:59:44 You do everything as natural as possible.
    0:59:46 But now you have a proper tool.
    0:59:48 In this case, we would use a leash attached to a collar.
    0:59:51 For harder dogs might use a leash and a prong collar.
    0:59:52 Why a prong collar?
    0:59:55 Long story short, it emulates what we call mama’s teeth.
    0:59:58 How do dogs correct each other in the wild in nature at a dog park?
    0:59:59 With their teeth.
    1:00:00 They don’t use their hands.
    1:00:01 They don’t use fists.
    1:00:03 They don’t write each other a letter.
    1:00:05 They don’t have their attorney send out lawsuit papers.
    1:00:06 They bite each other.
    1:00:07 When do they bite each other?
    1:00:09 Right when the bad behavior happens.
    1:00:10 And then they’re over it two seconds later.
    1:00:12 We use the prong collar as mama’s teeth.
    1:00:13 We set it up.
    1:00:14 What does that look like?
    1:00:18 Hey, when I give you the winkity wink, I want you to come in the door.
    1:00:21 And I’m going to say, hey, how are you?
    1:00:22 And what’s the dog going to do?
    1:00:24 Like it’s done every other time in the last six months.
    1:00:25 It jumps on the guest.
    1:00:30 The moment it jumps on your guest down to the millisecond, you use the leash to deliver
    1:00:32 positive punishment, meaning we add a punisher.
    1:00:37 The dog feels a correction on its neck and it goes, oh, that didn’t feel good.
    1:00:38 That’s right.
    1:00:41 When you jump on people, it doesn’t feel good.
    1:00:43 So stop doing it.
    1:00:48 Then ideally, if you’re really good at training, and this is the stuff we teach in our courses,
    1:00:53 we will show how you use the leash to then communicate to the dog, I don’t want you jumping.
    1:00:55 It doesn’t feel good when you jump.
    1:00:59 However, if you go into a sit, you’re going to get all the love and pets and treats and
    1:01:01 toys and everything you want.
    1:01:03 So now what we call is called giving your dog a job to do.
    1:01:05 All dogs were bred to do some type of work.
    1:01:10 But what we’ve done in the last 50 or 80, maybe 100 years, and we’re not all farmers
    1:01:14 anymore, these dogs aren’t pulling carts, these dogs aren’t hurting sheep.
    1:01:17 They have no job, nothing to fulfill them.
    1:01:21 They sit on the couch all day, and then they chase your cat, they jump on your guests.
    1:01:25 They think that’s their job and they get really good at that.
    1:01:26 Problem is, it’s not the right job.
    1:01:28 So instead, we flip it on and that’s where obedience comes in.
    1:01:31 Your job is to sit, to down, to heal, to recall.
    1:01:33 If you do a good job, I’m going to pay you.
    1:01:37 If you mess up, just like a owner of a restaurant, if you’re not doing a great job, we’re going
    1:01:41 to counsel you, we’re going to train you, you’re going to do a better job.
    1:01:45 Problem is, you can’t fire your dog, but you can correct the behavior.
    1:01:46 And the dogs learn this quick.
    1:01:50 That’s why he said, hey, those things where it’s like they transform the dog in one hour,
    1:01:54 I can get pretty much any dog on the planet to stop pulling on a leash in about five minutes.
    1:01:59 I can get just about any dog on the planet to stop jumping on people in about five minutes,
    1:02:02 maybe 10 minutes if I take my time, because it’s pretty clear.
    1:02:04 In fact, I’ll throw it to you, guy.
    1:02:11 How long does it take to teach a human to stop touching a 400 degree oven or stove?
    1:02:14 How many times do you have to put your hand on it to realize that thing’s hot and it’s
    1:02:15 going to burn you?
    1:02:19 By the way, what’s really interesting is, do you need anyone there screaming at you,
    1:02:22 saying no, no?
    1:02:23 We set it up.
    1:02:24 Hey, turn the oven on.
    1:02:26 Hey, guy likes coffee.
    1:02:27 Perfect.
    1:02:28 Put the coffee right there on the oven.
    1:02:31 Guy reaches for the coffee, whoo, that burned.
    1:02:35 What’s funny is, dogs and humans alike will always go for a second.
    1:02:37 They will always try one more time just to confirm.
    1:02:39 When you go for, ooh, yeah, that really did.
    1:02:40 Yeah, that’s hot.
    1:02:41 I don’t want to touch that.
    1:02:42 That’s it.
    1:02:43 Now, why do we do this?
    1:02:44 Because some people say, what’s the harm in jumping?
    1:02:45 You got your grandma coming over.
    1:02:48 Some dogs are big enough to break grandma’s hip.
    1:02:50 What about a dog eating rocks?
    1:02:52 That’s a three, four, $5,000 surgery.
    1:02:53 If you don’t catch it in time, you can kill your dog.
    1:02:57 What about in some parts of the country, there’s rattlesnakes.
    1:03:01 In South Florida and the Southeast of the United States, we dealt with bufo toads, extremely
    1:03:03 toxic to dogs.
    1:03:09 One lick of one of those toads will kill your dog in just a couple hours.
    1:03:14 What’s better, letting the dog figure that out, and it’s too late, it’s dead, or we would
    1:03:17 use, in this instance, an e-collar, an e-collar, same thing.
    1:03:19 For trainers who use it, they love it.
    1:03:24 It’s the best thing to happen to dog training since the invention of dogs.
    1:03:29 The e-collar allows us to reach out at the speed of sound or the speed of electricity
    1:03:33 and say, I probably wouldn’t touch that bufo toad because it’s going to kill you.
    1:03:38 I’ll go on the record and say, I would rather shock a dog on the full level of an e-collar
    1:03:39 just a couple of times.
    1:03:40 Why twice?
    1:03:43 Because it always, at least two or three times, I’ve been doing this a long time.
    1:03:48 They will feel the burn on the first one and go, that hurt, but man, that toad looks
    1:03:49 pretty good.
    1:03:50 Look at it hot, man.
    1:03:54 It just wants me to go chase it, and now you’re dealing with thousands of years of mother
    1:03:58 nature saying, you must chase things that hop and move and run away from you.
    1:04:01 They’re like, it burned, but let me go one more time.
    1:04:04 When it goes for it the second time, it learns just like it did the first time, it will burn
    1:04:05 you every time.
    1:04:08 Don’t touch that toad.
    1:04:12 That would be an example of how you might use, by the way, e-collars can be used much
    1:04:13 more than that.
    1:04:17 This is just an inversive example, but you can use the e-collar to basically teach the
    1:04:20 dog certain things are electric.
    1:04:21 You probably don’t want to touch them.
    1:04:25 When you put your feet on the counter to eat that sub-sandwich, go for it.
    1:04:26 Go for the sub-sandwich.
    1:04:29 I just want to let you know that the countertop is now electric, so I don’t know how you’re
    1:04:31 going to get that sub-sandwich.
    1:04:33 Is it worth it to you to get the sub-sandwich?
    1:04:37 Let the dog make that decision on their own, but it’s probably not going to be worth it.
    1:04:42 They jump up, they feel the electric, they go, that doesn’t feel good, and they don’t
    1:04:45 get the sub-sandwich, so the dog makes a pretty quick calculation.
    1:04:49 It’s not worth my time, and then when they don’t jump for the sub-sandwich and they sit
    1:04:54 down on the ground or lay down, you come over with a piece of the sub-sandwich and say,
    1:04:55 “I’m proud of you.”
    1:04:56 Here’s some sub-sandwich for you, bro.
    1:04:58 Thank you for doing a good job.
    1:04:59 Make sense?
    1:05:00 Make sense.
    1:05:01 All right.
    1:05:02 All right.
    1:05:07 Is there an e-collar that also you can use as a clicker to put out the positive sounds?
    1:05:08 You’ve got one thing?
    1:05:09 Yeah.
    1:05:13 So there are e-collars that have a tone, and some people will use the tone of the e-collar
    1:05:16 to mark good behaviors, so the tone is charged up just like a clicker.
    1:05:22 You can also use the tone to be charged up as the recall command, and the world is your
    1:05:23 oyster when it comes to dog training.
    1:05:28 So for instance, my dog, Thanos, we use the vibrate to mean down.
    1:05:32 So I have him laser trained, like you might have a special forces dog, some police dogs
    1:05:33 are trained with this.
    1:05:35 I can use a laser pointer.
    1:05:39 If he can see the laser, he will run there, so I can send him out 300, 400 yards.
    1:05:44 He will go exactly where I want him because he’s going to follow the laser, and then when
    1:05:48 he gets where I want him to go, he can’t even hear me he’s so far away.
    1:05:53 Or in a tactical application, not that I do that anymore, but I still like to play, you
    1:05:58 know, play like a toy soldier, I will use the vibrate to drop him right where I want
    1:05:59 him.
    1:06:01 Now, how does that work in a tactical application?
    1:06:06 You might want to put your dog, your police dog or your military dog downwind of an area
    1:06:07 of concern.
    1:06:09 Hey, it’s a pretty open backyard.
    1:06:13 I don’t see where a bad guy could be hiding, but hey, there’s a shed over there.
    1:06:18 A bad guy might be in or on top of that shed, and everything we do in police work, when
    1:06:20 you’re using a dog, it’s all about the nose.
    1:06:24 The only way a dog’s going to smell a bad guy is to be downwind of a period.
    1:06:27 A dog’s not going to smell someone upwind, it just won’t happen.
    1:06:33 You read the wind, and then you laser the dog, downwind of the object in question, and
    1:06:38 then you might drop him there with a vibrate on the down, and then watch the dog’s behavior.
    1:06:43 It’ll let you know pretty quick whether he’s wind-sensing something or not, and then you
    1:06:44 might move a tactical team up.
    1:06:48 So anyways, in this instance, the point being, I used the vibrate to teach down.
    1:06:50 You could also use the vibrate to teach recall.
    1:06:52 You could use the tone to teach down.
    1:06:54 So it’s however you want to shape him.
    1:06:57 Up next, unremarkable people.
    1:07:00 My friend Mike came over and was like, “This is going on for minutes, Garrett.
    1:07:02 Nobody can get this dog to let go.”
    1:07:08 I came over, grabbed the little wiener dog with my hand and kind of turned off oxygen.
    1:07:09 He said, “The dog let go in two seconds.”
    1:07:12 I said, “Oh, that’s great, but what did the owner think of that?”
    1:07:15 She was so thankful, because some people were like, “Ah, you hurt my dog,” but she
    1:07:16 was desperate.
    1:07:19 The other dog was all but killing the other dashhound.
    1:07:20 I’m like, “It’s wild.
    1:07:24 You wouldn’t think those little dogs would do that much damage to each other, but hey,
    1:07:28 they don’t know how small they are, dogs are dogs.”
    1:07:30 Thank you to all our regular podcast listeners.
    1:07:34 It’s our pleasure and honor to make the show for you.
    1:07:39 If you find our show valuable, please do us a favor and subscribe, rate, and review it.
    1:07:46 Even better, forward it to a friend, a big mahalo to you for doing this.
    1:07:51 You’re listening to Remarkable People with Guy Kawasaki.
    1:07:57 I saw one of your videos in which, and I just want to confirm this, that God forbid if you
    1:08:04 are attacked by a dog, or you’re witnessing an attack by a dog, the only way to stop the
    1:08:06 dog is to choke them?
    1:08:07 110%.
    1:08:08 Yep.
    1:08:09 Yep.
    1:08:14 When we’re talking about, I’m not talking about a dog that just nips at your hand or just
    1:08:15 nips at it.
    1:08:18 I’m talking about a dog that’s locked on.
    1:08:24 The only way you’re going to get that dog, well, the cleanest way, the fastest, the guaranteed
    1:08:29 way, is to shut off oxygen and blood flow to the brain.
    1:08:30 It’s exactly what we do.
    1:08:31 Where does this come from?
    1:08:33 This may shock people.
    1:08:35 I don’t care how much training you put into a police dog.
    1:08:40 If you have a high enough drive police dog, 9 out of 10, 99 out of 100, if not 100 out
    1:08:47 of 100, police dogs will not let go of a bite on the street from a verbal command alone.
    1:08:50 I get a lot of flak for that.
    1:08:51 Really?
    1:08:52 Yep.
    1:08:54 It’s just the nature of the beast.
    1:08:58 We put so much horsepower into these dogs that you tell them to let go.
    1:08:59 I’m not saying it can’t be taught.
    1:09:00 Of course it can.
    1:09:04 Yes, there are police dogs that will let go on a verbal out.
    1:09:09 However, more often than not, you can give the commands, “I just saw a video the other
    1:09:10 day.
    1:09:11 It happens all the time.”
    1:09:14 I encourage you, next time you see a police dog deployment, you’re going to see one of
    1:09:18 two things probably happen when they go to remove the dog.
    1:09:21 The handler is either going to give multiple, multiple, multiple commands for the dog to
    1:09:26 let go, or he’s going to come over and do a physical removal, or both because the commands
    1:09:27 aren’t working.
    1:09:28 Why are the commands not working?
    1:09:30 You are fighting thousands of years of mother nature.
    1:09:33 You’ve created the monster, good for you.
    1:09:36 Now you’ve got to get that monster to let go, and they don’t want to let go.
    1:09:37 I don’t mean monster in a bad way.
    1:09:40 I just mean it’s just a tremendous drive.
    1:09:43 You have to come over and how are they getting these dogs to let go?
    1:09:44 We teach this in training.
    1:09:48 There’s multiple ways, but you’re either using the collar, you’re lifting up on the collar.
    1:09:53 That collar is now restricting airflow, and the dog is basically, they don’t even actually
    1:09:58 make, oftentimes, this is crazy, they don’t make a conscious decision to let go.
    1:09:59 It’s a physiological response.
    1:10:01 It’s a gag reflex.
    1:10:03 They’re holding on for dear life.
    1:10:06 They’re saying, “I don’t care how long you choke me, I’m not letting go,” until they
    1:10:11 start to gag and their body is saying, “You’ve got to let go if you want to breathe.”
    1:10:14 That’s how we get dogs off, it’s called the physical removal.
    1:10:16 Now, what about the verbal out?
    1:10:20 You can tell the dog to let go, but every time you tell your dog to do something, whether
    1:10:25 it’s your pet dog that’s sitting on your couch and you said, “Get off the couch,” or
    1:10:31 a police dog that’s on a bite and you tell it to let go, they make a conscious decision
    1:10:34 every time you tell them to do something, whether it’s in their best interest or not.
    1:10:36 The recall is the great one.
    1:10:40 Your dog’s chasing after something, and you say, “Fido, come here,” and the dogs will
    1:10:43 look at you and go, “What’s in it for me?
    1:10:44 I don’t see a treat.
    1:10:45 I don’t see a ball.
    1:10:46 I am chasing a bunny.
    1:10:47 Now, the bunny’s a pretty good time.
    1:10:50 You don’t look like that great of a time.
    1:10:52 I’ll chase the bunny instead.”
    1:10:56 We must now, that’s where we come in with the different tools or the different training.
    1:10:58 We say, “You have to come back.
    1:11:01 By the way, if you come back, I’ll reward you, but I promise you, if you don’t come
    1:11:03 back, there’s a price to pay for that.”
    1:11:04 Same with the police dogs.
    1:11:06 Why would they want to let go?
    1:11:08 What’s in it for them?
    1:11:11 Every time they let go, there’s not really a prize.
    1:11:15 It’s not like they get a cheeseburger shoved in their mouth as soon as they let go.
    1:11:20 There are ways to train it where if you let go of this, I’ll give you a toy, but oftentimes
    1:11:23 on a real deployment, you’re not walking around with a toy in your back pocket.
    1:11:28 You’re dealing with a hard-ass criminal who might be armed, and we joke about this a lot.
    1:11:32 Hot dogs, can and will, treats, hot dogs will solve a lot of problems with a pet dog, but
    1:11:36 you’re often not seeing a police dog or a police handler deploying on a track for a murder
    1:11:39 suspect with a pouch of hot dogs in his back pocket.
    1:11:45 We are not controlling that horsepower by adding fuel to the fire, drive to the fire.
    1:11:49 We are going into those backyards using a leash, using a prong collar, using an E-collar,
    1:11:54 and what we call as a steering wheel and a brake on that 1,200 horsepower mallon wall
    1:11:55 that we just brought back there.
    1:12:00 So when we tell the dog to let go, sometimes they don’t even hear you because they have
    1:12:02 auditory occlusion.
    1:12:03 They’re literally not even there.
    1:12:04 They’re almost possessed.
    1:12:07 They’re just satisfying that bike drive.
    1:12:09 When we say let go, they’re like, “Yeah, I’ll be with you in a minute.
    1:12:10 Let me finish this.”
    1:12:13 No, you got to let go right now because you’re about to cost me a lawsuit.
    1:12:14 You better let go.
    1:12:15 The guy’s giving up.
    1:12:20 So you’ll often see, like I said, you’ll hear multiple, multiple commands.
    1:12:23 Oftentimes if they’re letting go from a verbal command, it’s not really the verbal command
    1:12:24 by itself.
    1:12:26 It’s that the verbal command is paired with an E-collar.
    1:12:30 So you’ll see the guy fidgeting on his equipment, on his gun belt or on his vest, stimming the
    1:12:32 dog, and you might even hear the dog go, “Right?”
    1:12:34 It’s because I told you to let go.
    1:12:36 You didn’t let go, so there’s a price to pay.
    1:12:37 That’s one way.
    1:12:41 But again, more often than not, you’re seeing what’s called a tactical or physical removal
    1:12:45 where they’re either cutting off oxygen and blood flow through the collar.
    1:12:46 There’s other methods.
    1:12:50 What we’ve been seeing a lot in the last decade or so is what’s called a breaker bar.
    1:12:55 The breaker bar, when used incorrectly, they try to put it in between the teeth, and then
    1:12:58 it’s like a bar, and then they twist it to try to open the jaws.
    1:13:00 That’s not how it’s supposed to be used.
    1:13:04 What a breaker bar actually is, is a gag reflex tool.
    1:13:10 They come in different shapes, but it’s basically some type of item that’s long and cylindrical.
    1:13:11 They have different types.
    1:13:14 What you’re doing is, as the dog’s on the bite, there’s usually a little gap in the
    1:13:19 back by the molars, and you put that tool back there, and you actually are aiming down
    1:13:22 towards, I guess you’d call it the tonsils area of the dog, right?
    1:13:26 The back of the throat, and it makes the dog go, “It induces a gag reflex,” and they
    1:13:27 let go.
    1:13:31 When done correctly, you can get a dog off a bite in three to five seconds, but most
    1:13:35 of us aren’t walking around with a breaker bar or a gag tool in our pocket.
    1:13:38 What we would suggest, going back to your question, I know it’s around about way of
    1:13:39 getting here.
    1:13:40 Wow.
    1:13:45 If the dog has a collar on, or there’s a leash, you got to get that collar high and
    1:13:46 tight on their neck.
    1:13:50 You got to get that leash potentially wrapped around their neck, and you got to lift and
    1:13:52 hold.
    1:13:56 Some dogs will let go in one, two, three seconds, some will go for the ride, and it’s funny
    1:13:59 because one of my good friends was telling me the other day, he said, “I watched your
    1:14:00 video on that.”
    1:14:02 He’s got no police canine experience.
    1:14:08 He was at a dog park or some park, and two dashhounds, the little wiener dogs, brother
    1:14:11 and sister or something from the same owner, got into it, and they were just eating each
    1:14:13 other up.
    1:14:17 The owner could not get this little dashhound to let go of the other one.
    1:14:22 There’s blood everywhere, people are screaming, a crowd’s forming, and you’ve seen the videos.
    1:14:24 People are pouring water on the dogs.
    1:14:25 Can that work?
    1:14:26 Yes, sometimes.
    1:14:29 People are hitting, not the dashhound, but I’m going back to the videos you’ve seen.
    1:14:34 People are hitting dogs with shovels, with bricks, with sticks, ain’t working, and with
    1:14:39 a real hard dog, often times a pit bull or some other bully type of breed, that just
    1:14:45 makes the dog fight harder and bite harder the more pressure you put on them.
    1:14:48 My friend Mike came over, he’s like, “This is going on for minutes, Garrett.
    1:14:49 Nobody can get this dog to let go.”
    1:14:55 I came over, grabbed the little wiener dog with my hand, and kind of turned off oxygen.
    1:14:57 He said, “The dog let go in two seconds.”
    1:15:00 I said, “Oh, that’s great, but what did the owner think of that?”
    1:15:03 She was so thankful, because some people were like, “Ah, you hurt my dog,” but she
    1:15:04 was desperate.
    1:15:07 The other dog was all but killing the other dashhound.
    1:15:10 I’m like, “It’s wild, you wouldn’t think those little dogs would do that much damage
    1:15:18 to each other, but hey, they don’t know how small they are, dogs are dogs.”
    1:15:25 My last question is this, knowing all that you know, just give us the general gist of
    1:15:28 how to select a dog.
    1:15:31 You’ve brought into so many aspects to think about.
    1:15:36 It’s not as simple as going to the shelter and finding the cute one.
    1:15:44 How do you pick a dog, specifically for a family, not a guard dog, for family?
    1:15:45 Sure.
    1:15:48 That’s interesting too, because nowadays, for whatever the reason is, a lot of people
    1:15:52 want, quote, “a protection dog,” so they are getting that family dog, but they’re
    1:15:55 getting dogs that are more like the Connie Corso, one of our breed of choice.
    1:15:57 You’re going to German Shepherd, Doberman, Rottweiler.
    1:16:01 I get those questions more than anything, “Hey, Garrett, what’s the breast guard dog
    1:16:02 from my house?”
    1:16:06 But regardless, whether you’re getting a guard dog or you’re just getting the golden retriever
    1:16:07 family pet.
    1:16:08 Okay.
    1:16:09 Stop for a second.
    1:16:14 Then first, adjust the question is, do you really want a guard dog?
    1:16:17 What’s the probability that someone’s going to come in your house and try to murder you
    1:16:19 or rob you?
    1:16:22 It’s much more likely a guard dog is going to attack your family, then you’re going
    1:16:27 to get the guard usage from the guard dog, or am I making this up?
    1:16:28 No.
    1:16:31 I think it could go so many different ways.
    1:16:34 Studies have been done, and I’m not going to quote it, because I don’t have it in front
    1:16:38 of me, but it goes without saying, if there’s a bad guy that wants to break into your home
    1:16:42 as a burglar, and they show up to your, you’re not homeless, let’s just say, or you are home.
    1:16:46 Middle of the night, middle of the day, whatever it is, they come to break in through an open
    1:16:51 window or your back door, and there’s a 130-pound Connie Corso Italian Massif on the other side
    1:16:52 of that door.
    1:16:54 You’re probably going to skip that house.
    1:16:58 Of course, there’s some real bad dudes who have a gun, and what’s your dog going to do
    1:17:00 against an armed intruder?
    1:17:04 Not much, other than maybe slow them down just a little bit, maybe at least alert you that
    1:17:05 someone’s there.
    1:17:06 But any dog can do that alert.
    1:17:08 You can have a Chihuahua that’s a great alert dog.
    1:17:12 So for that, dogs are great, and that’s one of the best things about dogs.
    1:17:16 But if I saw a Chihuahua on the other side of the door, I might be like, if I was really
    1:17:20 on drugs, I need the money, I’m breaking into your house or somebody’s house, I might take
    1:17:22 my chances with the Chihuahua.
    1:17:25 Now to your other point, I don’t care almost what breed you get.
    1:17:27 You can get the baddest breed on the planet, right?
    1:17:28 You can get a Belgian Malinois.
    1:17:30 Everybody thinks Belgian Malinois are the best dogs.
    1:17:32 Yeah, they’re great for police work.
    1:17:35 They don’t make great house pets, let me tell you.
    1:17:40 But Belgian Malinois aren’t naturally really territorial, nor are they really vicious.
    1:17:43 They’re actually super friendly, generally speaking.
    1:17:47 They love their social creatures, but again, it depends what training you do or not.
    1:17:51 So anyways, what I’m getting at is, do people need a protection dog?
    1:17:52 I don’t know.
    1:17:55 The more you tell them not to get one or that it’s too much for you to handle, I know this
    1:17:58 from personal experience, because this is what we preach all day long on our channels.
    1:18:02 Hey, the Cane Corso, amazing dog.
    1:18:06 Not ideal for 99.9% of people, it’s too much dog for you.
    1:18:08 I equate it to having a battle tank.
    1:18:10 Do you need a battle tank in your suburban neighborhood?
    1:18:11 I don’t know, probably not.
    1:18:14 But then again, I’m a big second amendment proponent.
    1:18:15 It is a free country.
    1:18:19 If you want a Cane Corso, you want a whole pack of them, more power to you.
    1:18:21 The training is really the essential part.
    1:18:22 Now here’s the other thing.
    1:18:25 Even if you get a, quote, “protection dog” or a guardian breed, that doesn’t mean they’re
    1:18:26 going to do anything.
    1:18:27 There’s Cane Corso’s out there.
    1:18:31 You get it from the best breeder on the planet, and it might be just the biggest softie.
    1:18:32 It might do nothing.
    1:18:36 But then true protection training, that’s where people get all, they don’t realize.
    1:18:40 You’re talking 60 to $120,000 to get a, quote, “protection dog.”
    1:18:43 Now here’s this crazy part.
    1:18:45 You can get $120,000 protection dog.
    1:18:49 There’s no guarantee it’s going to bite human flesh.
    1:18:51 And it’s not going to stop a guy with a gun.
    1:18:52 I don’t care.
    1:18:53 It’s just not.
    1:18:55 Now it will help you raise and train and select a protection dog.
    1:18:56 I’m here for you.
    1:18:58 But I’m also, I’m just a realist.
    1:19:01 I will tell them like, I don’t care how much training you put into this dog.
    1:19:03 It’s not going to replace, say, a firearm.
    1:19:04 It’s just not going to do it.
    1:19:08 But anyways, when it comes to selecting a dog back to your previous question, what dog
    1:19:09 should you get?
    1:19:13 You got to do your research, and you really got to compare that dog to your lifestyle.
    1:19:15 But not just your current lifestyle.
    1:19:19 Remember these dogs are going to live 8, 10, 12 years, 14 years.
    1:19:20 What does it look like?
    1:19:23 Where are you going to be living 10 years from now?
    1:19:27 You might get a connecorsa because this is a big bad guard dog, great.
    1:19:31 But you live at home with your mom, or you’re planning to go to college, or you’re going
    1:19:33 to be more of a renter in a condo.
    1:19:38 Well, a lot of places in HOAs will not allow certain breeds like a German Shepherd or Rottweiler,
    1:19:39 a Corso.
    1:19:41 Pit bulls are banned in a lot of places.
    1:19:43 So you got to think about that too.
    1:19:49 So really what it comes down to is look at your lifestyle currently and into the future.
    1:19:53 Are you the type of family that likes to sit around the house and do barbecues and watch
    1:19:54 Netflix?
    1:19:58 Do not get a Belgian Malinois that wants to run 20 miles a day.
    1:20:02 If you’re the type of family that goes on hiking adventures and you’re always outdoors,
    1:20:07 then don’t get the English Mastiff or the Bulldog who can’t barely make it to the mailbox
    1:20:10 without needing oxygen therapy.
    1:20:13 So look at that, like how much time do you spend outdoors, et cetera.
    1:20:16 Also just generally the size, like Great Danes are cool.
    1:20:17 They’re cool looking dogs.
    1:20:21 Very expensive in the sense of how much do they eat, and you got to rearrange your whole
    1:20:22 house to have a Great Dane in there.
    1:20:27 They’re just monsters, like a horse in your house, and they only live so long.
    1:20:30 All these variables, it’s size and it’s the temperament.
    1:20:35 But again, it’s always a gamble when you buy these dogs.
    1:20:39 Generally speaking, if you get a golden retriever or a Labrador, it’s probably not going to
    1:20:41 make the best, quote, guard dog.
    1:20:44 It probably won’t bite your mailman.
    1:20:46 And actually there’s a video we’re going to put out.
    1:20:48 I’ll give you a little glimpse now.
    1:20:52 To contrast two videos to really drive home the point, some type of delivery driver comes
    1:20:57 up to a house, knocks on the door to drop a package, and an Italian Mastiff, probably
    1:21:04 130 pound Cane Corso, breaks through the glass window and chases this guy down the street.
    1:21:07 I’m telling you now, no training required.
    1:21:11 It’s the natural protective guardian defensive drive instincts of that dog.
    1:21:15 They’re not all like that, but you’re hedging your bet, yeah, maybe 60, 70, 80% that come
    1:21:18 out of the womb will do that with no training.
    1:21:23 Then we’re going to contrast that video with a mailman comes up to the front porch and
    1:21:26 there’s a golden retriever, but he didn’t know it was there.
    1:21:30 So he’s going to deliver the package and the golden retriever comes out and rolls on its
    1:21:32 back and says, rub my belly.
    1:21:34 No training required there either.
    1:21:36 But that’s the genetics of the dog, right?
    1:21:41 This is all your golden retriever won’t bite the mailman, he’ll probably lick him to death.
    1:21:45 And then again, like you had mentioned, be careful what you wish for.
    1:21:48 There’s actually a crisis going on right now with the Cane Corso.
    1:21:52 It’s one of the most popular breeds on the planet right now.
    1:21:56 I actually feel guilty because I think we’re part of that because we show our dogs on the
    1:21:59 channel and we show how well trained they are.
    1:22:03 And the same thing has happened and is continuing to happen with the Belgian Malinois breed.
    1:22:07 They see police dogs, they see police agencies in the military using them and they make this
    1:22:10 assumption that these dogs come out of the womb like that.
    1:22:14 They come out of the womb knowing how to sit down and heal and no, they’re wild animals.
    1:22:17 And in fact, it’s just a lot of dog.
    1:22:19 Same with the Corso, same with the Malinois.
    1:22:24 Okay, just because you see us doing it doesn’t mean like get the dog, but you where people
    1:22:27 mess up is in the training.
    1:22:29 They just think the dog’s going to just train itself.
    1:22:30 It won’t.
    1:22:32 You have to train it one way or another.
    1:22:33 You have to.
    1:22:35 So you can enjoy the dog.
    1:22:40 So the dog doesn’t eat your neighbor by accident, run away from you, get hit by a car and all
    1:22:42 these things that can happen and just make your life miserable.
    1:22:44 So training is the answer always.
    1:22:47 So you mentioned the mailman.
    1:22:53 He goes up to the porch and there’s a Doberman, German shipper, Connick Corso or whatever.
    1:22:56 And this dog is now starting to chase him.
    1:22:58 What do you do if you’re the mailman?
    1:23:00 Do you drop to the ground?
    1:23:02 Do you keep running?
    1:23:06 If you’re in that situation, what’s the best thing to do?
    1:23:07 Great question.
    1:23:11 And we do a lot of these breakdown videos where we show incidents like these happening.
    1:23:17 If you run away, you are showing you’re less dominant and you’re also activating prey drive,
    1:23:19 which is only going to make the dog chase you even harder.
    1:23:23 However, if you can run away and jump on a car or run away and climb a tree real quick,
    1:23:24 go for it.
    1:23:26 You’ll see me doing the same thing.
    1:23:28 However, sometimes that option is not available to you.
    1:23:35 And so the best thing you can do is look big, get big, let that dog know you mean business
    1:23:38 and you’re not a prey item, you’re a predator.
    1:23:43 And so we just did a video recently where a gentleman had a small dog on a leash and
    1:23:50 a big mastiff, it’s got to be 140 plus pounds, comes barreling out of nowhere and goes to
    1:23:54 attack his basically like a puppy, like a 20 pound dog.
    1:23:57 He’s doing what we call the keep away game.
    1:24:01 This dog’s coming and he has his dog at the end of his leash, and he’s just spinning it
    1:24:04 around to keep the dog from getting his dog.
    1:24:05 I don’t blame you for doing that.
    1:24:08 I’d probably do a little bit of the same thing, reactionary, get your dog away from this dog
    1:24:09 that’s chasing it.
    1:24:15 All he’s doing is it’s exactly, we call it a flirt pole training, we do this to encourage
    1:24:18 dogs to bite things that are the end of the leash, the end of the pole.
    1:24:21 We make the item like a prey item, like a rabbit.
    1:24:26 And so now he’s just incentivized this dog, yeah, you probably want to chase this thing
    1:24:27 because it’s running from you.
    1:24:30 Now you’re tapping into thousands of years of prey drive.
    1:24:34 And so what ends up happening is he plays the keep away game, plays the keep away game.
    1:24:35 This is happening in seconds.
    1:24:39 After about 10 or 15 seconds, the big dog can’t quite get to the little dog.
    1:24:44 He’s now got the little dog up on his chest and he’s still playing the keep away game.
    1:24:47 Finally, the mastiff’s had enough says, I’m going to bite something and bites this guy
    1:24:49 on the arm.
    1:24:50 And that’s a lot of dog.
    1:24:53 And this dog brings them straight to the ground and just go into town on his arm.
    1:24:57 The only reason this guy got away less harm than he did was somebody was watching this
    1:25:01 and came up with a car and actually bumped the dog with the car.
    1:25:04 And the dog goes, whoa, but see what happened there?
    1:25:07 He kept playing the runaway keep away game.
    1:25:08 What did the car do?
    1:25:11 It played the, no, I’m going to chase you game.
    1:25:13 And so what am I getting at?
    1:25:18 If a dog comes at me like that, I’m going to get big, get loud.
    1:25:23 If I have a leash on me or a box on anything, you throw it at the dog.
    1:25:26 It’s called an English kick, meaning get your foot out.
    1:25:31 If you can get that foot out and make contact, that’s a dog that maybe’s never been struck
    1:25:32 in the face before.
    1:25:33 And it might think twice.
    1:25:34 Oh, that didn’t feel good.
    1:25:35 Yeah.
    1:25:36 Stop chasing me.
    1:25:37 I’m not a, I’m not a prey item.
    1:25:39 I’m going to kick your butt.
    1:25:41 And so you flip the game on them.
    1:25:42 Don’t chase me.
    1:25:43 I’ll chase you.
    1:25:47 And the dog goes, wait a second, I didn’t sign up for this.
    1:25:48 Yeah.
    1:25:49 Get big, look big.
    1:25:52 And then in this case, had I had that little 20 pound dog and this big mastiff’s coming
    1:25:53 up to me.
    1:25:56 It’s counterintuitive because you want to run away.
    1:26:00 You’ve got to confront the threat and get in their face.
    1:26:03 And then you are really increasing your odds of coming out of that because look, you’re
    1:26:04 not going to outrun the dog.
    1:26:05 It’s not going to happen.
    1:26:09 Again, if you can climb a tree, great, but that’s the best thing you can do.
    1:26:10 Okay.
    1:26:11 I got it.
    1:26:17 No, I learned more about dogs today than in my entire 69 years of life before.
    1:26:19 So thank you very much.
    1:26:22 And we’re only skimming the surface.
    1:26:26 I hope you enjoyed this episode of remarkable people.
    1:26:32 It’s a little bit different from our usual episode where we have professors and authors.
    1:26:35 But Garrett Wing was a very interesting guest.
    1:26:38 I hope you learned a lot about dogs.
    1:26:42 Not just dogs in canine units, but dogs in general.
    1:26:44 I’m Guy Kawasaki.
    1:26:46 This is remarkable people.
    1:26:50 Now let me tell you about the rest of the remarkable people team.
    1:26:55 That would be Madison Nizmer, who’s the producer of this remarkable people podcast, as well
    1:26:59 as the co-author of our book, Think Remarkable.
    1:27:04 I’m honestly getting tired of plugging this book, but I really, really want you to read
    1:27:05 it.
    1:27:07 It will help you make a difference and be remarkable.
    1:27:10 Again, it’s called Think Remarkable.
    1:27:16 Now the rest of the team, Jeff C. and Shannon Hernandez on sound design, Luis Magana and
    1:27:19 Alexis Nishimura, as well as Tessa Nizmer.
    1:27:24 We are the remarkable team and we’re going to help you be remarkable.
    1:27:29 We’re going to do that by covering a range of topics from astrophysics to behavioral
    1:27:35 economics to influence and persuasion to writing to training dogs.
    1:27:40 That’s a remarkable range of topics, but this is a remarkable podcast.
    1:27:47 Until next time, mahalo and aloha.
    1:27:49 This is Remarkable People.

    In this episode of Remarkable People, join host Guy Kawasaki as he sits down with Garret Wing, a highly respected figure in the field of canine training and handling. With over 17 years of experience in law enforcement, including roles as a commander of the Tactical Investigations Unit and Senior Police Canine Unit supervisor, Wing brings a wealth of knowledge to the conversation. Together, they dive into the fascinating world of canine units, exploring the rigorous selection and training process that dogs must undergo to serve alongside their human partners. Wing shares captivating stories and insights, shedding light on the incredible capabilities of these remarkable animals. Discover the dedication and expertise required to forge an unbreakable bond between handler and canine, and learn valuable lessons about leadership, communication, and trust that extend far beyond the realm of dog training.

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable. 

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People. 

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable. 

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology 

    Listen to Remarkable People here: https://podcasts.apple.com/us/podcast/guy-kawasakis-remarkable-people/id1483081827 

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  • Terri Givens: Confronting Racism with Radical Empathy

    AI transcript
    0:00:14 “Hello everyone. I’m Guy Kawasaki and this is Remarkable People. We’re on a mission
    0:00:21 to make you remarkable. Helping me in this episode is Terry Givens. She is the former
    0:00:29 Vice Provost of the University of Texas at Austin and the former Provost of Menlo College.
    0:00:34 Terry broke barriers as the first African American and first woman in both roles. She
    0:00:40 has continued her journey at McGill University in Montreal, Canada. There she advises on
    0:00:47 anti-racist initiatives and contributes to academia through her professorship. Despite
    0:00:54 opportunities to ascend further in administrative ranks, Terry continues to make direct impact
    0:01:00 through her teaching of students. In this episode, we dive into her new book, Radical
    0:01:07 Empathy. This reflects her dedication to fostering inclusive leadership in these very troubling
    0:01:14 times. I’m Guy Kawasaki. This is Remarkable People and now, here is the Remarkable Terry
    0:01:25 Givens. Would you start us off by explaining the roots of racism in America?
    0:01:29 Yes, because that’s a very important thing to understand and this is why I wrote my book
    0:01:38 The Roots of Racism because I think we don’t understand that history is still present today.
    0:01:45 And the roots of racism go back to the 1500s when you had Portuguese sailors first enslaving
    0:01:51 people in Africa. But the important thing about that is how they defined Africans at
    0:01:58 the time, which was they basically dehumanized them. And that dehumanization has persisted
    0:02:05 since then. And so you see it in so many different ways and of course to basically say that enslavement
    0:02:11 was okay, that the church was involved in defining who was human and who wasn’t. And
    0:02:15 one of the important things we have to do is to trace the history. How did we get to
    0:02:22 where we are today? And show, as we know, people are trying to keep us from learning
    0:02:26 our history because they don’t want people to understand those connections. They want
    0:02:31 to say, oh, we’re done with racism. It doesn’t matter. It’s like, no, racism is baked into
    0:02:38 our systems, not just in the US, but in Europe, across the globe. So we have to understand
    0:02:41 that that history is critical to where we are today.
    0:02:48 I heard a theory from one of our other guests that I don’t know if it was 1600s or 1500s,
    0:02:56 but racism didn’t really exist until somebody needed an intellectual argument for why we
    0:03:02 want to get free labor and enslave people. So in order to justify that, they came up
    0:03:08 with this theory that black people are less than human, so it’s okay to enslave them.
    0:03:10 What do you think of that theory?
    0:03:16 Oh, I agree with it 100%. There’s this really great book besides mine by Nell Painter called
    0:03:22 basically, now I’m going to forget the exact title, but it’s how people became white. And
    0:03:28 the history of white people, basically. And this book really goes through and examines
    0:03:32 because it’s not just that we’re saying black people are not human. We’re also saying white
    0:03:41 people are superior. So the underlying theme is that this whole history of white supremacy.
    0:03:46 And so you have to understand that component as well. So yes, I agree with that. I said
    0:03:51 the Catholic Church was involved in saying it’s okay to enslave Africans because they
    0:03:57 are not human. And so there’s all these different factors. It really does go back to the 1500s
    0:04:02 when the church was involved in saying it’s okay to enslave Africans.
    0:04:10 And why has something persisted for 500 years? I mean, you think we would figure out better
    0:04:12 ways to do business.
    0:04:17 Well, you would think, but the reality is that we had this period of enslavement, we
    0:04:24 had the Civil War, which was to end slavery. But the federal government, after a few years
    0:04:30 of the whole process of moving us, theoretically moving us past slavery, just basically gave
    0:04:36 up eventually and let the South and not just in the South, but they allowed the development
    0:04:41 of Jim Crow voting laws, the disenfranchised black people. And so that’s one of the things
    0:04:47 I want to, and I’m a researcher, this is what I do for a living. And I’m actually working
    0:04:51 on a major project that is going to try to examine not just in the US, but how, what
    0:05:00 is this, why does this persist? And what does race mean today? And so the bigger problem
    0:05:08 it was in the United States and in other places that there was never a real acceptance of
    0:05:13 black people. You had all kinds of laws and regulations and rules that kept them from
    0:05:17 voting, that kept them from getting jobs. You can look in almost any developed country
    0:05:24 today and black people are going to be less employed. Let’s take France, for example.
    0:05:29 This is a country that was a colonizer. A lot of people who were in the colonies like
    0:05:36 in Algeria have gone to France to find work. They get put into the suburbs because in France,
    0:05:40 the place where the poor people go is in the suburbs. So you’ve got black people living
    0:05:47 in the suburbs, their educational opportunities are less. All these different ways that, if
    0:05:53 you think about redlining, that happens everywhere. Redlining is the process where banks and regulators
    0:05:58 say, oh, we’re going to make sure that people who live in these, or buy these houses, don’t
    0:06:03 get preferred loans, they have to pay more, et cetera, et cetera. And so there are so
    0:06:08 many different mechanisms that are put in place. That’s why we call it systemic racism
    0:06:12 and systemic discrimination because you have the bureaucrats involved and they’re doing
    0:06:17 these things consciously initially, and then they just get perpetuated over time.
    0:06:23 And do you think in this case that it’s a racist argument, like we don’t want black people
    0:06:30 to have houses and competitive interest rates, or it’s a intellectual argument that, oh,
    0:06:37 they’re higher risk, so we have to charge them higher interest? Is it racism or flawed
    0:06:38 economics?
    0:06:44 It’s both. It’s hard to separate out the two. I still have this issue today. I’ve been
    0:06:50 working on hiring more black faculty at McGill University, and faculty will still come and
    0:06:54 say, well, why can’t we just hire on merit? We are hiring on merit. We’re just saying
    0:07:01 that we want to recruit people who look different from you. And the funny thing is, is we go
    0:07:07 around and we hire people from the best universities in the world, and then they’re like, oh, I
    0:07:12 didn’t know these people were out there. Oh, let’s go hire more. And it comes back to my
    0:07:17 other book, Radical Empathy, where people don’t understand how they have internalized
    0:07:22 bias, how they have internalized these ideas about people. And they’ll say, oh, we just
    0:07:27 hire on merit. Yeah, but the only people you hire are your buddies who look just like you,
    0:07:31 and you aren’t willing to look at the people. We went to Stanford around the same time.
    0:07:36 Oh, no, actually, I was 10 years after you. You’re much younger. I’m going to be 60 this
    0:07:43 year. But anyway, I’m going to be 70. Like I said, 10 years apart. But even in that 10
    0:07:48 year difference, right, there were probably a few more blacks, dude. But anyway, the interesting
    0:07:53 thing to me is that I was going to Stanford in the 80s and there were still a lot of issues
    0:07:58 around hiring black faculty and they’ve gotten better. Don’t get me wrong. I love my alma
    0:08:04 mater. But the problem is you look across academia and we’re still only three or 4% of the faculty
    0:08:09 and we’re still struggling to hire and we’re still struggling to retain. And this whole
    0:08:15 idea of merit, we forget about the belonging component, right? And I know this is something
    0:08:20 you care deeply about. And this people should feel like they belong. So we’s like, okay,
    0:08:25 we hire these people, but we don’t necessarily give them the opportunity to succeed in those
    0:08:32 positions. One of my frustrations with this is that how can you make decisions like this
    0:08:40 based on the color of skin? Okay, tell me you made a decision on height or weight or
    0:08:47 color of pupil. But what’s the rationale that someone with black skin is somehow inferior
    0:08:55 to you and shouldn’t get tenured away? It makes absolutely no sense to me. They attach
    0:08:59 so this is the problem. We judge people, right? And I talk about it in the context of, okay,
    0:09:04 you have your tribal brain that says you see somebody who looks different than you.
    0:09:09 And so your brain says, oh, this person isn’t, you know, part of me. And so we have to fight
    0:09:14 against that tribal brain or that very basic idea that we only want to be around people
    0:09:19 who look like us. But the reality is we’re, you know, I mean, you look at there’s no one
    0:09:26 kind of black person or Asian person. We all are a range of colors, right? And so they’re
    0:09:33 basically in the 1800s and early 1900s, people just bent over backwards. They wanted to look
    0:09:38 at things like skull size and all of that to try and say, oh, this group of people is
    0:09:44 inferior because their brains are smaller kind of thing. So people have bent over backwards
    0:09:50 to try and find scientific reasons why people from Africa who have different skin color
    0:09:57 or people from Asia who are somehow inferior or I could get into all kinds of trouble saying
    0:10:02 some of the things that people said about us. But it’s a protectiveness. I mean, you
    0:10:08 see what was happening right now in places across the globe really, but particularly
    0:10:14 in the US is people are trying to protect their privilege. And so they ascribe a certain
    0:10:19 level of privilege to themselves if they are white. And then we don’t want to let these
    0:10:24 other people have that same privilege because the problem is they see it as a pie. And if
    0:10:29 they get that, then I don’t get that. Instead of saying, we all get better if we all are
    0:10:35 open and accepting all boats will rise. There are so many if I need to talk to Heather McGee,
    0:10:40 if you haven’t yet, because her book is amazing, the sum of us, the problem is not to get a
    0:11:06 bigger slice of the pie. What you should do is bake a bigger pie. That’s the solution.
    0:11:13 Is there any example of like in Africa, there’s a black nation and all the power structure
    0:11:21 was black and they imported thousands of Europeans as slaves to work on plantations.
    0:11:27 And now it’s 2024. And they’re trying to wipe out their history of white enslavement
    0:11:33 and they’re trying to preserve systemic racism against white people. Is there any country
    0:11:42 like that? No, no, no, no, no. No, you know, I wish Wakanda was there. No, I mean, you
    0:11:48 know, the problem is you look at a place like South Africa or Zimbabwe and they had
    0:11:54 white settlers who once the governments were taken over by black natives, South Africa
    0:11:59 has bent over backwards to support things for white people living there and their land
    0:12:04 and so on. And Zimbabwe maybe not as much. But that’s the only cases I can, there may
    0:12:10 be other African countries. One interesting case is Algeria because Algeria they didn’t
    0:12:14 enslave. Nobody’s enslaved white people in Africa as far as I know, maybe they’re somewhere
    0:12:22 out there. But Algeria was part of France until they got independence in the early 60s.
    0:12:27 And so once they got independence, a lot of the white French people left and moved back
    0:12:32 to France and they felt like they had basically been expelled and they were unhappy. You know,
    0:12:36 it’s about that. And that’s why some of those people are strongest supporters of the far
    0:12:42 right National Front, which has now become the Rassemblement in France. But that’s the
    0:12:47 closest I can come to is like landowners who once the country became independent, lost
    0:12:51 their land or had to leave and so on. So that’s about the extent of it.
    0:12:58 I read your book about radical empathy. And at the end, and this was in 2020, I would
    0:13:04 say you were fairly optimistic that things could get better. Now, we’re four years later.
    0:13:07 Where’s your mind at?
    0:13:08 Very frustrated.
    0:13:11 Things have gotten worse.
    0:13:17 In some places they’ve gotten worse. Yes, not everywhere. And I’m always hopeful. It’s
    0:13:21 my nature to be hopeful. And I’m actually working on a follow up to radical empathy.
    0:13:26 And it’s been hard to write because there’s every day there’s bad news. But on the other
    0:13:33 hand, one of the goals of both radical empathy in the book I’m working on now is like you,
    0:13:37 I want to empower people. I want people to feel like they can do something. And that’s
    0:13:41 when I wrote radical empathy that when I would talk to people about it, that’s the first
    0:13:49 thing that came, which is what can I do? So I’m hoping that yes, things are bad. And actually
    0:13:54 one of the things I’m writing about right now is the difference between apathy and empathy.
    0:14:01 And apathy is you just sit back and you’re just going to let things happen versus empathy
    0:14:07 and radical empathy, which as you know, is taking action. And I just keep imagining what
    0:14:12 if we all, and we did in 2020, so many of us rose up and said, yes, I’m going to vote,
    0:14:17 I’m going to vote for democracy. And I think that’s going to happen. I’m crossing my fingers
    0:14:21 and hoping that’s going to happen again. And we don’t have interference and all of that.
    0:14:29 But I think that I’m frustrated, but also still hopeful because, you know, I read your
    0:14:34 book and I’m like, look at all these amazing people and these remarkable people and what
    0:14:40 they’re doing. And you’re doing the work to bring these people to the forefront so people
    0:14:45 can see what you can do. And that’s exactly what I want to do as well. I want people to
    0:14:49 understand, I haven’t given up, I’m still working, I’m still fighting, I’m still doing
    0:14:54 what I can do in my part of the world. The part of the problem is, and there’s some great
    0:14:57 books that have come out talking about how black activists in particular, we tend to
    0:15:02 get burnt out and so on and that we have to take care of ourselves and I’m doing that.
    0:15:08 But I also know that I’m privileged. I’m in a unique position. I’m in the process of
    0:15:15 changing the university system in Canada to be more open to black people. That’s huge.
    0:15:20 And so I think it’s really important that we understand that the things we are doing,
    0:15:23 even in our little space of the world, is creating change.
    0:15:30 Yeah. Would you say that America 2024, is it an apartheid?
    0:15:38 Not yet. And the reason we’re not really apartheid is because the attacks that are happening
    0:15:45 now are intersectional. It’s not just on black people. When you get rid of a DEI program,
    0:15:49 people forget. It’s not just black people who benefit from that. It’s women. It’s people
    0:15:58 with disabilities. It’s LGBTQI. It’s everybody who is underrepresented or oppressed. If
    0:16:05 it’s an apartheid, it’s an apartheid of white men versus everybody else, right? Because
    0:16:10 you can’t say that, oh, we’re getting rid of DEI and people want to say we’re only going
    0:16:14 after this group. No. There’s lots of research that shows one of the biggest beneficiaries
    0:16:21 of the civil rights acts and so on are women. All women. Women were able to get into the
    0:16:27 workforce, et cetera, et cetera. You’re saying over 50% of the population is falling under
    0:16:33 the system of apartheid. I just think that there is resistance. And so no, we’re not
    0:16:37 anywhere near that. Okay. I’m going to tap all your political science
    0:16:50 expertise. Okay. So would you draw any similarities between America today and 1930 pre-Nazi Germany
    0:16:58 or pre-Nelson Mandela, South Africa? Are we South Africa or are we Nazi Germany? Are
    0:17:04 we headed in those directions? Not yet is my answer. And we have, trust me, I can’t
    0:17:08 tell you how many times on social media I’ve seen my colleagues. I was like, oh, we’re
    0:17:16 just like, and even I thought about this, right? Are we in Weimar Germany? And I’m worried,
    0:17:20 but it’s a different thing. I think, yes, we need, so as you know, I’m a huge advocate
    0:17:26 of understanding history. But on the other hand, we also have to understand the complexity
    0:17:31 of our current age. And frankly, what really worries me is the inequality that you have
    0:17:39 these billionaires out there who are controlling the media and so on, and are trying to push
    0:17:45 certain types of agendas that is influencing people to vote particular ways and act particular
    0:17:53 ways. And that is different in the sense that I don’t see the US going out and starting
    0:17:58 wars. I mean, I think I see the US, if we go in that particular direction, becoming
    0:18:05 more insular. But we’re in a very much a global environment. And so I think when we’ve, people
    0:18:09 like in Europe, for example, have seen what’s happening in the US, I mean, Germany, they
    0:18:15 have a far right party. And there have been millions of people on the streets saying no
    0:18:20 , we don’t want this far right party to be in our government. And there are millions
    0:18:26 of Americans. The funny thing is, it’s actually it’s not funny, it’s sad, is there are protests
    0:18:31 and things going on in the US on a daily basis and the media is not covering it, right? They’re
    0:18:37 happy to cover, we’re going to go talk to this Trump voter, but they won’t talk to the thousands
    0:18:42 of people who are protesting in front of the Supreme Court about their latest ruling. There’s
    0:18:47 a lot of things happening. I have friends who are out there writing postcards to get
    0:18:53 people to vote. I have friends who are working with candidates all over the place here in
    0:19:00 Canada. There’s huge groups of people who are fighting for democracy on various fronts.
    0:19:07 And so I think that democracy is in danger around the globe, right? But I’m still hopeful
    0:19:13 that there’s enough of us who are supporting, we both have lived in California. I always
    0:19:18 tell people, yeah, I’m in Vancouver, British Columbia right now, but I think that the whole
    0:19:23 West Coast, well, if it gets to that point, we’ll split away and we’ll have California
    0:19:25 and Oregon and Washington.
    0:19:33 Hey, Gavin Newsom for president of our country. I could live with that. So in your book, you
    0:19:39 said several times, and it was certainly a surprise, but almost a shock. And listen,
    0:19:47 I’m an Asian American male, right? So I don’t walk in your shoes, but you say that racism
    0:19:55 manifests itself daily in your reality. So can you tell me how racism manifests itself
    0:20:01 daily in someone as successful and visible and powerful and et cetera, et cetera, as
    0:20:06 you were not talking about some illegal immigrant who’s like working in the back of a restaurant.
    0:20:15 We’re talking about, you know, Terry Gibbons, my God. So how does racism affect your daily
    0:20:16 reality?
    0:20:22 Well, not everybody knows who Terry Gibbons is. They will, especially after this podcast,
    0:20:28 they will. But it’s really interesting because part of it is internalized. So, you know,
    0:20:32 my reality is yesterday, I was walking around and I was like, oh, I’m going to go into this
    0:20:37 boutique. Every time I walk into that place where people do not know who I am, I’m like,
    0:20:43 okay, how am I dressed? Are they watching me? Do I have to put a smile on my face? You
    0:20:49 know, I try to be a non-threatening. And so that’s not that the people in the store,
    0:20:53 I don’t know if they’re racist or not. And you’ll see, and that’s the thing, right? And
    0:20:57 throughout my career, because I’ve been a trendsetter and ahead of my time in so many
    0:21:04 ways in political science, I’ve been in high-level positions. And the reality is that I’m often
    0:21:09 in the only black person in the room or the only woman in the room. And there’s so many
    0:21:15 different ways that the racism manifests itself. And it’s not just the fact that people see
    0:21:19 I’m a black woman and might be racist towards me. It’s just the things I study. I study
    0:21:24 race and immigration politics in Europe. And I can’t tell you how many times people have
    0:21:28 said, oh, why do you study Europe? They’re so surprised when I tell them I speak French
    0:21:33 and German. And the funny thing is this could happen to anybody, but I could be a white
    0:21:38 guy as an American. Why do you study French and German and so on? But they aren’t going
    0:21:40 to be a surprise, right?
    0:21:47 I can honestly say, Terry, I have never met a white man who had imposter syndrome.
    0:21:55 You know, it’s really funny. I’m on a job search right now for an executive director
    0:22:01 of an organization. And I was laughing because we didn’t get very many women and minorities
    0:22:05 applying, but we had a lot of white men. And I was laughing because I was like, these white
    0:22:10 guys aren’t even qualified for this position, but they apply. Whereas we know there’s research
    0:22:14 shows women and minorities won’t apply for positions that they think they don’t qualify
    0:22:18 for. But these white guys are like, Oh, yeah, I sort of qualify. I’m going to go ahead and
    0:22:26 we didn’t keep them in the pool. But you know, the audacity, I don’t know.
    0:22:32 So let me ask you something. So what’s the end goal to use your terminology so people
    0:22:37 don’t get all pissed off with me when I asked this question. But is the end game like for
    0:22:46 every Negro to be an exceptional Negro? Is that the goal? No, absolutely not. The goal
    0:22:52 is for every person, for everybody to be who they are. So this was a struggle I went through
    0:22:59 personally is how do I make sense of who I am and so on and so forth. I’m black. I used
    0:23:03 to get people would give me a hard time for the way I talked because I didn’t talk black,
    0:23:08 blah, blah, blah, this and that. So the reality is people try to put you into boxes. So what
    0:23:13 I want for everyone, not just black people, but for everyone just to not have to live
    0:23:17 in the box and to be who you are. And that’s what by the time I got to the end of my 20s,
    0:23:23 early 30s, I finally figured out just be who you are. And don’t be afraid to be who you
    0:23:28 are. And that means that, you know, I was going to mention this earlier when you’re
    0:23:34 talking about so racism, it’s not even race and it’s like expectations. Terry Gibbons
    0:23:39 is a graduate student at UCLA. Oh, she must be studying race and ethnic politics in the
    0:23:48 United States. I literally had people say, I would give you a job if you studied race
    0:23:53 and politics in the U.S. And like, that’s not what I study. And I don’t want your job
    0:23:57 if that’s what your expectation is, right? And that’s why I’m like, first of all, start
    0:24:01 with yourself. Who are you? And do you really want people putting you into boxes the way
    0:24:07 that you’re doing to others? Not everybody’s going to be exceptional. We just want people
    0:24:14 to be able to have access to becoming remarkable. And that’s what we’re doing here, but also
    0:24:16 just being who you are.
    0:24:25 When the term in your book was used as exceptional Negro, it wasn’t about being, getting the
    0:24:32 best scores or anything like that. It was basically fulfilling a white man’s expectation
    0:24:37 of what a black person should be. If you did that, you were, quote, an exceptional Negro,
    0:24:38 right?
    0:24:43 And I was applying that to myself because the problem is people look at me and say, oh,
    0:24:50 you’re exceptional. And Oprah’s exceptional. And Chris Rock is exceptional. But the rest
    0:24:57 of those black people, we don’t care about them. And so this is the problem. We can pick
    0:25:02 out a few people and they are exceptions. So that word exception is important. They’re
    0:25:09 the exception to the rule. And the rule is that black people aren’t to the level that
    0:25:11 we think white people are.
    0:25:12 Okay.
    0:25:16 But oh, but you’re okay. I have had people. Oh, you’re, you know, I remember when it was
    0:25:25 a big deal that Barack Obama was articulate. And it’s like, well, yeah, he speaks normal
    0:25:26 English.
    0:25:28 What’s wrong with him?
    0:25:29 Any smokes?
    0:25:39 Yeah, yes. That’s all other stories purely in practical terms. Are you serious? Are
    0:25:46 you saying that a white male can possibly empathize with a black woman?
    0:25:53 I have had so many white males who have been the ones who have propelled me along my career.
    0:25:59 Yes, absolutely. Going back to high school, I remember my high school principal, who was
    0:26:06 a Jesuit priest, stopped me in the hall one day. I’d recently taken the PSAT and he was
    0:26:10 like, Terry, are you going to apply to Harvard or Yale or Princeton? Like, what are you talking
    0:26:17 about? I don’t even know what college is, you know? And he saw me. You know, it’s not
    0:26:23 just empathy. It’s actually being seen. And there are many white men who I can tell you
    0:26:31 have seen me. They accepted me as a black woman who speaks French and studies European
    0:26:36 politics and can be a leader. And I always say there are people who saw more in me than
    0:26:39 I saw in myself. And those were mostly white men.
    0:26:40 Really?
    0:26:41 Absolutely, 100 percent.
    0:26:45 So Terry, they were exceptional white men.
    0:26:49 Oh, you got me.
    0:26:57 Okay, so now you talk about just the beauty of empathy and even beyond that radical empathy.
    0:27:04 But are you saying conceptually that you should have radical empathy for the Trumps? Is there
    0:27:07 a limit to empathy?
    0:27:11 The number one thing, and that’s going to be at the very top of the first chapter of
    0:27:18 my next book, is empathy is not absolution. I do say this in the book. Look, not everybody
    0:27:23 is going to listen to me or hear my message. I don’t need all these people who support
    0:27:29 Trump to understand or have empathy, but there’s this huge number of people out there who are
    0:27:34 open and want a better world and want to understand these things. And I can tell you, I’ve had
    0:27:39 many, many interesting discussions about this over the last few years in particular. And
    0:27:45 yeah, there’s some people you can’t reach. Not everybody is going to be remarkable. But
    0:27:53 what we need is that core group of people, because we can move mountains. And that’s
    0:27:58 the thing we have to understand is that I may not be able to convince this Trump voter
    0:28:03 over here, but maybe I can convince this independent person over here, and then they’re eventually
    0:28:07 going to talk to their buddy who’s a Trump voter. It’s a process. And the process is
    0:28:12 working right now so that these people are being very cut off and they only watch certain
    0:28:18 media. But if we can start to break through those silos, not directly necessarily, but
    0:28:22 really get the word out so that people understand that there’s a different way to think about
    0:28:24 things.
    0:28:29 So in your book, you also expressed something which when I read that I said, how do these
    0:28:37 two things relate to each other? And you made a statement that empathy requires embracing
    0:28:45 vulnerability. So why does being empathetic require being vulnerable?
    0:28:48 Thank you for that question. Because that’s one of my favorite things about radical empathy.
    0:28:53 And you’ll see I’m vulnerable all the way through the book. I try to model vulnerability.
    0:28:58 But what I figured out in my own life, and I’ve seen this with other people, you mentioned
    0:29:03 imposter syndrome. So part of the problem, for me personally, was that I had a hard time
    0:29:14 accepting who I am. And it was partly because I didn’t really understand who I was. And
    0:29:18 I grew up in Spokane, Washington. It’s less than 1% black. And I’m just like, why did
    0:29:25 my parents choose for us to grow up in Spokane, Washington of all places? But as I learned
    0:29:31 that history and about the Great Migration and how black people from my parents’ era
    0:29:36 wanted better than what they had experienced. And so by moving to the Northwest, my dad
    0:29:41 was in the military. Spokane was the last place he was stationed. So it made sense for
    0:29:46 us to just stay there. And it was like where he grew up outside of Pittsburgh. I went then
    0:29:52 visit. Oh, no wonder he settled in Spokane. It’s a lot like where he grew up. But a big
    0:29:58 part of that is that they wanted us to have better education, to be safe, et cetera. So
    0:30:03 for them, Spokane was that place. But I didn’t grow up around a lot of other black people.
    0:30:08 And so that was something that I would beat myself up about. I wasn’t in the same social
    0:30:13 situations as a lot of my friends when I went to Stanford, et cetera, et cetera. But what
    0:30:17 I had to learn was I had to be vulnerable to be willing to look at those stories, that
    0:30:21 history, to try to understand. So the first step in vulnerability was saying, I need to
    0:30:27 understand better why my parents made these choices, why I am who I am. Because I had
    0:30:34 some anger towards my parents. And so by being vulnerable, and it’s hard to ask yourself
    0:30:39 those tough questions, if you’re not vulnerable. And Brene Brown, she’s my model when I talk
    0:30:45 about vulnerability. The biggest thing about vulnerability, first of all, we can talk about
    0:30:48 it in the context of leadership, but it’s really important to be vulnerable with yourself.
    0:30:52 People always say, why do I have to be vulnerable? It’s not with everybody else. You have to
    0:30:57 be vulnerable with yourself so that you understand yourself better, so that you know who you
    0:31:01 are, so that you’re more open to other people. It’s really hard to love others if you don’t
    0:31:07 love yourself. And so you have to be vulnerable and look at the full picture and try to understand
    0:31:14 why you are the way you are and say, I’m okay with that. And that makes it much more likely
    0:31:19 that you’re going to be okay with other people because you see yourself and then you can
    0:31:27 see others. Explain to me, well, that implies that I don’t agree or I don’t understand,
    0:31:34 which is not true. But why do we need to teach the history of slavery in America? Yes, that’s
    0:31:42 a great question, because it still has implications today. So we had 400 years of enslavement,
    0:31:49 and we haven’t been how many years since the 1860s. Historically, we’re still not that
    0:31:54 far away from it. And because you can’t understand why we had Jim Crow if you don’t understand
    0:31:59 slavery. You can’t understand why the U.S. shut itself off to immigration except from
    0:32:06 Northern and Western Europe if you don’t understand the history of slavery. Because
    0:32:11 it was all part of a process where even though we ended enslavement, we still had the same
    0:32:16 ideas about people. We still had this idea. And that’s why it’s really important to understand
    0:32:23 that it wasn’t just about slavery. It was about a worldview that said certain people
    0:32:27 are not human or certain people are lesser than. And that included people from Southern
    0:32:32 and Eastern Europe. That’s why in the 1920s, the U.S. cut off immigration from Southern
    0:32:36 and Eastern Europe and most of the rest of the world. People don’t really know that we
    0:32:43 cut off immigration from most parts of the world except from the 1920s to the 1960s.
    0:32:48 And after that is when you start to see more people coming from India. The first group
    0:32:56 of people to have immigration control placed on them were Chinese. You had Chinese exclusion
    0:33:03 in the 1870s. And so it’s not just that there was enslavement. There was a whole worldview
    0:33:08 of white supremacy that said we don’t want Chinese. We don’t want the world. They couldn’t
    0:33:11 get rid of the black people. There were too many of us. So they were going to put all
    0:33:16 kinds of rules and regulations and for Jim Crow laws about you have to sit in the back
    0:33:22 of the bus and you can’t go to good schools, etc., etc. It’s still impacting things. When
    0:33:29 I got to McGill University in 2021, there were 12 black faculty out of 1700.
    0:33:30 What?
    0:33:32 Why is that?
    0:33:35 12 out of 1700?
    0:33:42 Yes. Now, because of me and many others who did a lot of work were close to 50. And it’s
    0:33:49 like Canada didn’t go through slavery and they did. But it wasn’t like in the U.S.
    0:33:55 So why does this happen? Because people have ideas. Those ideas don’t come from nowhere.
    0:34:00 Those ideas come from 400 years of enslavement. Jim Crow, Chinese exclusion, exclusion of
    0:34:05 people from Southern and Eastern Europe, Irish people can being considered black, all kinds
    0:34:07 of things, right?
    0:34:19 Wow. I tell you this story as an aside. I have hosted many AI panels, members of the
    0:34:28 panel, including chancellors of very large schools. Okay. And unlike most AI moderators,
    0:34:36 I always ask this question, which is who would you rather have designed your kids curriculum?
    0:34:46 Ron DeSantis or chat GPT. Everybody says chat GPT. And I will tell you that I have gone
    0:34:53 to chat GPT and asked, why should we teach the history of slavery in America? And chat
    0:35:02 GPT comes up with six great bullet points about the benefits of teaching slavery in America.
    0:35:08 And I tell you that story only because I think smarter than Ron DeSantis, but I mean, that’s
    0:35:12 not a very high bar, but
    0:35:18 So AI is a learning model. It’s pulling in information. And it’s not biased in any way
    0:35:22 about that information. It’s saying, look, here’s what I have learned. I’m going to give
    0:35:30 it back to you. And so it has this material that is saying these things about why we need
    0:35:35 to understand this history. So that doesn’t surprise me. And frankly, there’s so much
    0:35:41 research and I have colleagues all over who do this work. And what’s really interesting
    0:35:47 is forget DeSantis and all that. The people who matter are students. What are they learning?
    0:35:54 I mean, I taught a class a year ago. I love my students. It was just such a blessing because
    0:35:58 even my students from Sweden, McGill is a very international university. So I had students
    0:36:03 from all over. And it was probably one of the most diverse classrooms I have ever taught
    0:36:08 80 students and a little bit of everything. I tried to really create a classroom where
    0:36:13 everybody could say what they want that they wouldn’t have any fear. And so many students
    0:36:17 told their stories because I would tell my stories. So they would tell me their stories
    0:36:23 about their parents who were immigrants, the difficulties they had wearing the hijab, all
    0:36:27 kinds of things. And Canadian students coming to me and saying, I never knew that Canada
    0:36:36 excluded Chinese people and hadn’t slavery and all these things. And so to me, that is
    0:36:41 just so gratifying that I have the privilege of being able to teach these students these
    0:36:46 things. And they are grateful to Santa’s and all that. Oh, making white people feel bad.
    0:36:51 No, we’re not. We’re helping them learn and understand their history. They don’t understand
    0:36:59 why there’s so many black people living in horrible living conditions in the United States.
    0:37:04 Why do we have homeless people living on the streets? All these things, they need to understand
    0:37:08 that because they want to create change. They have the energy. They’re out there. So many
    0:37:13 students who’ve gone into activism and working in nonprofits. And I think people like the
    0:37:19 Santas are afraid they’re going to overthrow this white supremacist, white male. And I got
    0:37:24 to remind myself, I always have to remember to say white male supremacy because white
    0:37:30 women are being oppressed as well. But that they want this change. They are students are
    0:37:36 the ones who are pushing for diversity and understanding.
    0:37:45 Can you say that? Isn’t that the reason that school boards and stuff are trying to remove
    0:37:51 this part of not not to be too clever, but they’re basically trying to whitewash history?
    0:37:56 Yes. Absolutely. Because they’re afraid. But the funny thing is, these kids are getting
    0:38:02 this news that my boys are older, but we don’t control what they read. My boys are out there
    0:38:07 doing stuff that I’m just surprised they know more about so many things than I do because
    0:38:13 they are consumers of what’s out there. And of course, they follow what their mom does
    0:38:18 and so on. But they have chosen the things that they really care about the environment
    0:38:24 is a really big thing for them. And the funny thing is, the more you try to hold tight, the
    0:38:28 easier it is that things are going to slip away. And that’s what they don’t understand
    0:38:31 when they’re trying to ban books and so on. It just makes kids curious. Oh, this book
    0:38:55 is banned. I’m going to read it. This is another aside. But I hope that Think Remarkable is
    0:39:01 banned in Florida and Texas. I know I keep waiting for radical empathy to get banned.
    0:39:08 Yeah. Like we there should be some service that submit your book to Ron DeSantis and
    0:39:13 Greg Abbott. Absolutely. No roots of racism, which is the politics of white supremacy in
    0:39:18 the US and Europe. That’s at the top of the list. Oh my God. I mean, that and Project
    0:39:27 1619. Those definitely two books that I open up Think Remarkable with a discussion of Olivia
    0:39:34 Giuliana, because I’m hoping that some legislator reads this in Florida and Texas. This is holy
    0:39:41 shit. He opened up with the most radical Latina we know. And we got to ban this book. But
    0:39:45 it hasn’t worked yet. I’m trying. If I figure out how to get my book banned, you will be
    0:39:51 the first to know Terry Givers. I guarantee you. Thank you so much. I’m always thinking
    0:39:58 about you. How do we bridge the racial divide? That’s an easy question. Go ahead. I give
    0:40:05 you 60 seconds. Let’s see. How do we bridge the racial divide in 60 seconds? First of
    0:40:11 all, we have to recognize it. And so the first step is it’s like that whole thing of vulnerability
    0:40:14 and internalizing. And that’s another reason you have to be vulnerable because you aren’t
    0:40:18 willing to recognize that there is a racial divide unless you’re willing to be vulnerable
    0:40:24 and say, yes, I have internalized bias. That’s a really important component. And I think
    0:40:30 we can bridge racial divides if we all understand that we all have bias and that we need to
    0:40:34 work past it. Because I have so many friends who, and sorry, I’m going past 60 seconds,
    0:40:41 but I have so many friends who are, yes, Black Lives Matter, blah, blah, blah, but they don’t
    0:40:45 understand. I have a house in Menlo Park. We have to be willing to have more than just
    0:40:49 me and my friend who are Black living in Menlo Park. And what we have to figure out, what
    0:40:56 do we do to get there? And that takes action. And how do we make people who aren’t currently
    0:41:03 living there to feel like they belong? So anyway, that’s more than 60 seconds. But the
    0:41:06 most important part is recognizing the problem.
    0:41:14 Let’s suppose that you have recognized a problem and you’re not a provost or you’re not in
    0:41:19 charge of a university. You’re just, I don’t know, you’re random Google or Apple employee
    0:41:27 or whoever the demographics are to listen to my podcast. And now you believe and you
    0:41:35 understand. And your question is, what can I do? What’s the answer? I give you 120 seconds
    0:41:44 for this. Okay. Thank you. Like I said, so first step, figure out where you are and what
    0:41:51 you have the capacity for. So some people, they are good at writing. So write your congressman.
    0:41:56 Some people are good at hosting friends, have dinner parties and talk to your friends about
    0:42:00 the issues. I think you talk about this in your book to find what are you passionate
    0:42:05 about? What do you care about? I mean, if you care about the environment, I joined the
    0:42:10 Peninsula Clean Energy Commission because of their citizens council because I care about
    0:42:16 the environment. I support lots of nonprofits. I’m so proud of this organization foundation
    0:42:20 for our college education. I was the direct board director for several years and it just
    0:42:26 got a $2 million grant from Mackenzie Scott. Oh, Mackenzie Scott. Yeah. Mackenzie Scott.
    0:42:31 Yes. And trust me, there were times when I didn’t think that organization was going to
    0:42:36 survive and now they’re just blossoming. And I didn’t know three years ago that this
    0:42:42 organization was going to do so well, but they did. And I can say I was a part of that.
    0:42:46 And I can look back at every place I’ve been and I’ve done something at every one of those
    0:42:53 places to create change. And it can be small. You can just convince one other person to
    0:42:58 vote or it can be big. If you have the money, you can support a candidate you believe in
    0:43:04 or you can help an organization. And I support lots of organizations. I’ve been on 10 different
    0:43:10 nonprofit boards. Some of us do too much, but it’s who I am. I always do too much. But
    0:43:20 the reality is don’t feel overwhelmed. Do something that is within your capacity and
    0:43:25 then build on that. And eventually you’ll get to that place where you’re as remarkable
    0:43:35 as me and God. You should aim higher than trying to be as remarkable as me. Aim higher.
    0:43:41 Aim higher. For Jane Goodall and Terry Gibbons. Oh my God. You know, I have to say your Jane
    0:43:48 Goodall interview was my absolute favorite. Wow. Thank you. So that was Terry Gibbons.
    0:43:54 I hope you have a greater understanding of racism in America and what we need to end
    0:44:02 that problem. Check out her book Radical Empathy. It’s sure to help you be a better person.
    0:44:07 My name is Guy Kawasaki. This is Remarkable People. May I just remind you that Mattis
    0:44:14 and Nismar and I, we have a new book out called Think Remarkable. We take the inspiration
    0:44:19 and information we gained from conducting over 200 interviews and make it into a very
    0:44:26 brief book. Think of it as a guide to life, a guide to how to make a difference and how
    0:44:32 to be remarkable. Anyway, now let’s just thank the rest of the Remarkable People team. That
    0:44:37 would be, well, you already heard, Mattis and Nismar. She’s not only my co-author. She’s
    0:44:44 also the producer of the Remarkable People podcast. Tessa Nismar is our researcher. Alexis
    0:44:51 Nishimura and Louise Magana are also on the Remarkable People team and last but certainly
    0:45:00 not least are our amazing sound design engineers. That would be Jeff C. and Shannon Hernandez.
    0:45:06 We are the Remarkable People team and we are on a mission to make you remarkable. Until
    0:45:16 next time, Mahalo and Aloha.

    In this episode of Remarkable People, join host Guy Kawasaki as he delves into the complex topic of racism in America with Terri Givens, a trailblazing academic and author of the groundbreaking book “Radical Empathy.” Together, they explore the roots of racism, its persistence in modern society, and the importance of understanding history to create meaningful change. Givens shares her personal experiences and insights from “Radical Empathy,” emphasizing the power of empathy in fostering inclusive leadership. Discover how you can contribute to bridging the racial divide, access valuable resources, and become an agent of positive transformation.

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable. 

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People. 

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable. 

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology 

    Listen to Remarkable People here: https://podcasts.apple.com/us/podcast/guy-kawasakis-remarkable-people/id1483081827 

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  • Leslie Valiant : The Importance of Being Educable

    AI transcript
    0:00:13 I’m Guy Kawasaki and this is Remarkable People.
    0:00:16 We are on a mission to make you remarkable.
    0:00:20 Helping me in this episode is Leslie Valiant.
    0:00:25 He is a professor of computer science and applied mathematics at Harvard.
    0:00:31 Valiant received a BA in mathematics from King’s College, a diploma of Imperial College
    0:00:37 from Imperial College, that makes sense, and a PhD in computer science from the University
    0:00:38 of Warwick.
    0:00:45 Prior to joining Harvard in 1982, he held faculty positions at Carnegie Mellon University,
    0:00:49 the University of Leeds, and the University of Edinburgh.
    0:00:55 Valiant has made foundational, remarkable contributions to computer science, including
    0:01:01 the theory of probably approximately correct learning, the concept of p-completeness in
    0:01:06 complexity theory, and the bulk synchronous parallel processing model.
    0:01:13 And if you believe I understand all of what I just said, you are in for a big surprise.
    0:01:19 Valiant is the recipient of the Turing Award, the highest honor in computer science.
    0:01:25 The award committee said this about him, “Rather does one see such a striking combination
    0:01:29 of depth and breadth as in Valiant’s work.
    0:01:34 He is truly a heroic figure in theoretical computer science and a role model for his
    0:01:42 courage and creativity in addressing some of the deepest unsolved problems in science.”
    0:01:48 Valiant’s book, The Importance of Being Educable, explores the unique ability of humans to absorb
    0:01:50 and apply knowledge.
    0:01:56 He argues that understanding our educability is crucial for safeguarding our future, especially
    0:02:00 with the rise of artificial intelligence systems.
    0:02:09 I’m Guy Kawasaki, this is Remarkable People, and now here is the remarkable Leslie Valiant.
    0:02:12 What exactly is wrong with the term “intelligence”?
    0:02:18 It is that we don’t know what it means, it’s got no definition.
    0:02:24 No one can tell you exactly how to recognize an intelligent person, what’s the behavior
    0:02:26 you’re supposed to look for.
    0:02:31 One maybe trivial symptom of this, which may not be that important, but just as a symptom.
    0:02:37 So there’s much discussion about the SAT test, which many American students do.
    0:02:41 And I was surprised to find out recently what the letter A stands for.
    0:02:46 So certainly, S stands for standard and T for test, but what does the A stand for?
    0:02:52 So apparently, the A used to stand for aptitude, standard aptitude test.
    0:02:56 They changed that, then it’s for standard assessment test.
    0:03:01 They changed that, then it was SAT colon reasoning, they changed that.
    0:03:05 So now officially, the A stands for nothing, it’s just a brand.
    0:03:10 So whatever it tests for, the society is buying without any label on what it’s meant to do.
    0:03:17 So if you buy a food in a store, it says more than that there’s a correlation between you
    0:03:22 being less hungry afterwards and eating this, but there’s a correlation between these SAT
    0:03:25 tests and something, and that’s all that’s promised.
    0:03:30 So the problem with intelligence is that it’s widely used, but it’s got no definition.
    0:03:31 Isn’t that fixable?
    0:03:36 Can’t we get MacArthur Fellows and Turing Award winners and all you guys together say,
    0:03:38 “Can you just please define intelligence?
    0:03:40 How hard could that be?”
    0:03:46 So in the book, I quote some reports of American Psychological Association some time ago where
    0:03:51 they report on some other groups saying that they asked 24 experts in intelligence and
    0:03:54 they all gave somewhat different answers.
    0:04:00 So there’s some concepts for which we have a word, but we don’t really know what it
    0:04:01 means.
    0:04:06 Seeing as how you’re saying that there’s no sort of agreed upon consistent definition
    0:04:13 of the word, how are we seemingly freely talking about AI so much right now?
    0:04:18 How can we talk about artificial intelligence if we don’t even know what intelligence is?
    0:04:19 Exactly.
    0:04:25 So in fact, I think using word intelligence didn’t help the AI field to progress because
    0:04:26 there was no goal there.
    0:04:32 In my view, it progressed because AI adopted a more specialized definition or rather used
    0:04:33 one.
    0:04:34 And this is learning.
    0:04:38 So learning is something which you can define much better.
    0:04:41 So learning from examples, after you’ve seen some examples, you can classify future examples
    0:04:43 better than you could before.
    0:04:47 So learning from examples is something that’s a very specific ability.
    0:04:49 It can be defined.
    0:04:53 The computer programs are doing quite well and in practice these large language models
    0:04:54 do exactly that.
    0:04:58 Okay, so there’s some evidence that they do something interesting.
    0:05:04 So AI, in my view, has progressed by trying to realize by computer tasks for which there
    0:05:05 is a definition.
    0:05:10 In a sense, what you’re saying is that intelligence is such a quagmire that you’re just going
    0:05:13 to go outside the box and you’re going to create this new standard.
    0:05:18 I’m not saying I want to create a new standard or that’s not how I start.
    0:05:23 I’m saying how I phrase it in the book is that in some sense, it’s a very old question,
    0:05:29 of course, is what’s the intellectual capability which humans have, which other species on
    0:05:34 Earth do not, and the capability which enabled us to create our complex civilization, science
    0:05:36 and everything else.
    0:05:41 And although this may seem overly ambitious question, in some sense, it’s not because
    0:05:44 in the evolutionary terms, we evolved pretty fast.
    0:05:47 In the short term, this must have evolved.
    0:05:52 So I’m trying to write down this capability.
    0:05:58 And the first part of this is exactly what I was describing with learning from examples.
    0:06:03 So it’s something which we understand well in computers.
    0:06:07 Everyone sees how it works with these large language models in the last year or so.
    0:06:09 And then I add a few things on.
    0:06:12 So I think I’m doing a natural science.
    0:06:15 I’m trying to explain human capabilities.
    0:06:20 And I think something real, which has a definition, whether it turns out to be useful, that remains
    0:06:21 to be seen.
    0:06:25 In some sense, it is a replacement for intelligence, but in a special way.
    0:06:32 So I’m curious that in the creation of your book and the title and really the writing
    0:06:39 of the entire thing, did you ever think about the difference between “educatable” versus
    0:06:40 “educable”?
    0:06:44 Did you ever think of the nuances between those two words or now in modern use, their
    0:06:46 equivalence, or it doesn’t matter?
    0:06:51 I’m not quite sure how you mean any of those.
    0:06:56 So at one point, these terms were used in the sense of yes/no.
    0:07:01 So with children, could be educated in a regular school as opposed to having to be sent out.
    0:07:04 So I think that’s the use these terms had maybe 50 years ago.
    0:07:07 And maybe that’s the way in which you mean “educatable”, right?
    0:07:12 But what I’m trying to capture is to define more ground up, the capability which I think
    0:07:17 all of us have to some extent, and I’m not trying to distinguish with us some of us have
    0:07:18 more of it than others.
    0:07:22 Just generally, we’re trying to distinguish us from other species.
    0:07:26 So it’s not to be confused with the other senses in which this word may have been used
    0:07:27 in the past.
    0:07:29 Just like its new technical term, if you like.
    0:07:30 Okay.
    0:07:37 Now, from your point of view, is this level of “educableness” if that’s the word?
    0:07:45 Is it a person’s or a machine’s innate ability or is it also subject to the methods and resources
    0:07:49 and environments around that person or is it just the person?
    0:07:54 So the capability itself, some of it there at the beginning, the question is whether
    0:07:58 it can be enhanced by some sort of life experience.
    0:07:59 I don’t know.
    0:08:00 Okay.
    0:08:02 So I think that’s a good subject for investigation.
    0:08:05 Certainly if you can enhance the rate at which you can learn, for example, that would be
    0:08:07 fantastic for society.
    0:08:10 But I think that’s a subject for research.
    0:08:15 And I should add that most capabilities can be enhanced by some sort of training and the
    0:08:16 right environment.
    0:08:22 So the default assumption has to be that this also can benefit from suitable interventions.
    0:08:23 But I don’t know.
    0:08:28 You’re saying theoretically, if we could do this controlled experiment and we took you
    0:08:33 or we took Stephen Wolf from or we took Neil deGrasse Tyson or I don’t know, Freeman Dyson
    0:08:38 or something and we stuck you in the middle of the Amazon jungle with no internet, no
    0:08:40 books, no nothing.
    0:08:42 Clearly you’re still the same person.
    0:08:44 If we go back 20 years later, are you running the jungle?
    0:08:46 Are you the leaders there?
    0:08:52 How much did where you are in modern society play into the fact that you’re such overachievers?
    0:08:55 Well, well, first, I’m not equating.
    0:08:59 So let’s suppose that you can measure adequability.
    0:09:01 Different people have different levels of adequability.
    0:09:05 Let us assume that I’m not even certain of that, but let’s assume that what it correlates
    0:09:08 with in society again, I don’t know.
    0:09:10 It’s not obvious.
    0:09:16 The most educable people may not be the ones who are most successful in politics or academia
    0:09:17 or whatever.
    0:09:18 I’m not sure.
    0:09:24 I don’t want to speculate, but it would be if you put someone in the jungle, then adequability
    0:09:30 would cause one to how fast they can learn what’s going on there relative to what they
    0:09:31 know.
    0:09:34 Obviously, it may be that they know so little that’s relevant to how to survive there that
    0:09:37 the adequability isn’t enough to survive.
    0:09:44 But it’s a measure of how fast you can learn and understand what’s going on.
    0:09:50 If I had to put my money on you or Stephen Wolfram to figure out Kurare before the random
    0:09:53 person in the jungle, I think that’s a pretty good bet.
    0:09:57 So I don’t want to speculate, but certainly there are some people, it’s maybe the entrepreneurs
    0:10:02 who are very good at picking up lots of information, sitting through lots of information, understanding
    0:10:03 what’s going on fast.
    0:10:08 So I’m not quite sure which profession exhibit educability the most.
    0:10:13 For example, scientists obviously need it, but they may not be the most extreme because
    0:10:17 they’re also good at concentrating for a long time to pursue a direction.
    0:10:23 Educability may be more where you keep finding out new things all the time and relating everything
    0:10:24 to each other and running with it.
    0:10:46 Are you familiar with the work of Carol Dweck and the growth mindset?
    0:10:52 She’s a professor at Stanford and she in the early 2000s pioneered this dichotomy between
    0:10:55 the growth mindset and the fixed mindset.
    0:10:59 The fixed mindset basically says that you think you are what you are.
    0:11:00 You cannot be anymore.
    0:11:03 You cannot learn new skills.
    0:11:06 It also means you think you cannot deter your rates.
    0:11:10 So if you’re a genius, you believe you’ll always be a genius and Carol Dweck’s theory
    0:11:15 is that the growth mindset means you can learn things, you can do things and it seems to
    0:11:23 me there’s a great deal of parallel between your theory of educable and the growth mindset.
    0:11:27 So I thought that maybe great minds thought alike and you knew each other.
    0:11:33 No, but I mean that theory may be more about one’s attitude, but I think this educability
    0:11:35 is something which kind of everyone has.
    0:11:40 So the fact that most people are gathering information all the time, they’re watching
    0:11:44 movies for example, they’re reading novels, they’re looking at their cell phones, they’re
    0:11:46 all soaking in information.
    0:11:50 Much of the information is of no relevance to them, it’s got no benefit to them, but
    0:11:51 that’s what they do.
    0:11:52 They soak in information.
    0:11:53 Okay.
    0:11:57 So I think it’s this distinction whether you regard your ability to soak in information
    0:12:00 or whether you’re going to do it usefully to yourself, to benefit yourself, to find
    0:12:01 a new profession.
    0:12:03 I think that’s not exactly the same thing.
    0:12:04 Okay.
    0:12:09 I think what I’m describing is something which we freely all have and I quite generously
    0:12:10 I think.
    0:12:18 In your book you mentioned this example of chimps escaping from their cage in a zoo using
    0:12:24 a fallen tree to jump over the wall and then the other chimps watched that and learned
    0:12:27 and also jumped over the wall.
    0:12:33 And so are you saying then that in this case these animals are educable?
    0:12:36 Is that the conclusion to draw that they pass the test for educable?
    0:12:43 No, I’m saying that they look pretty smart and they can solve problems and they can obviously
    0:12:48 the first one to jump over the wall figured out what to do assuming that hadn’t seen something
    0:12:50 like that being done and the rest could copy.
    0:12:55 But so by educable, described in great length in the book, so it’s a combination of learning
    0:13:01 from experience, being able to train together what you’ve learned and some kind of reasoning.
    0:13:06 And the third part is being able to learn from someone else, describing to explicitly
    0:13:08 what should be done.
    0:13:12 So in some sense, copying behavior is like that, but in humans it’s much more general
    0:13:13 that we sit in.
    0:13:18 If you go to college, you sit in a lecture room and someone tells you the laws of quantum
    0:13:23 mechanics and they sit there for 30 lectures and at the end you can do a lot of stuff.
    0:13:28 So I think it’s only humans who have this ability to be able to soak in a lot of information
    0:13:29 given explicitly.
    0:13:34 So it’s like other people having had the experience, other people having done the experiments,
    0:13:38 but they can tell you the conclusions and you can internalize it yourself and use it
    0:13:41 as if you had the experience yourself.
    0:13:48 Have you made observations yet about the presence of educableness in life?
    0:13:50 Is it normally distributed?
    0:13:53 Is it distributed differently to genders?
    0:13:59 Does your educableness, does it grow or decay chronologically through life?
    0:14:04 Have we had some longitudinal studies and cross-cultural studies, cross-gender studies
    0:14:06 to understand more about this concept?
    0:14:09 No, we haven’t had any studies.
    0:14:12 It’s a new concept, we haven’t had any studies.
    0:14:16 So to answer any of the questions, you’d have to develop some test which you possibly think
    0:14:22 does measure educability and these tests would have to be of the nature that you’re…
    0:14:27 It’s like if you do a one-hour test, in principle you could have a test which is like a one semester
    0:14:31 course or you could have a one-hour test, but what you’d be measuring is how much you’ve
    0:14:34 learned during that one hour.
    0:14:39 So you’re given some questions where it wouldn’t help you to have previous knowledge to answer
    0:14:40 the questions.
    0:14:46 So it’s related to current IQ tests, but it would have a different emphasis.
    0:14:52 It’s a new kind of question, but the only related point I’d make is that if one accepts
    0:14:57 this notion that what Kersh has assumed is his educability, which means an extreme ability
    0:15:03 to learn and soak up information, then this also illustrates why it’s very difficult to
    0:15:10 answer the questions you ask, I mean to try to prove differences between groups in abilities
    0:15:15 and other abilities is difficult just because if you make some measurement of the performance
    0:15:19 of a group today, somewhere else at a different time, the outcome may be different because
    0:15:23 the group may have different experiences.
    0:15:29 So we are being so subject, so extremely subject to outside influences throughout educability
    0:15:35 that we’re the least promising objects of scientific study, if you like.
    0:15:39 By doing surveys on humans in different places, you shouldn’t be surprised that these results
    0:15:45 are transferable, generalizable from different places, different times, just because we’re
    0:15:49 so prone to change the point of educability that we’re so prone to change, so prone to
    0:15:55 be influenced by our environment, it’s very hard to answer any of the questions you ask.
    0:16:01 If you think about how would you possibly control all the variables in an experiment
    0:16:02 like that?
    0:16:03 Right?
    0:16:07 Although, I gotta tell you, if I had to guess, I would tell you that women are more educable
    0:16:08 than men.
    0:16:12 There’s no doubt in my mind, but I don’t have any objective proof for that.
    0:16:14 Just my life experiences.
    0:16:20 So if we’re at such like the starting point of all of this, let’s say somebody’s listening
    0:16:24 to this and saying, “Yeah, you know what, really, I want myself, I want my kids, I want
    0:16:26 my company to be more educable.
    0:16:28 What can I do now?
    0:16:33 Give me some tactical and practical stuff, Leslie, help me out here.”
    0:16:36 I don’t think I can, I’m sorry.
    0:16:44 I think the only rational thing is to do research and develop some tests which possibly
    0:16:46 measure this kind of thing.
    0:16:49 If we can’t measure it, then there’s not much we can say about it.
    0:16:54 So I think it’s a long-term project, the question of whether we can improve our educability.
    0:16:55 I think it’s a long-term project.
    0:17:01 Of course, many people have ideas about learning to learn and teaching to learn, but to validate
    0:17:07 any of these things is difficult without the measure of when you can declare yourself to
    0:17:10 be successful in having an enhanced learning.
    0:17:17 If you were to just take a social welfare perspective and step back, it’s hard to imagine
    0:17:22 more things that could be more important than this.
    0:17:28 This could be the key to the survival of mankind to figure out how to make people more educable.
    0:17:31 Personally, I agree.
    0:17:32 I do.
    0:17:37 So I think that, yeah, I think exactly, I think it’s a public issue for discussion.
    0:17:40 Listen, let me give you some shallow thinking.
    0:17:44 Let me see if this metaphor will work for you.
    0:17:52 Is it fair to say that intelligence, even though we can’t really define it, intelligence
    0:17:59 is like the chip speed and educableness is programmability.
    0:18:00 Is that a fair statement?
    0:18:01 No.
    0:18:02 I don’t think so.
    0:18:10 I think educability is, if supposing, let’s talk about a computer rather than a human.
    0:18:15 Eucability is like a discussion of what the capabilities are of this thing.
    0:18:17 And intelligence, I don’t know what that is.
    0:18:19 I really don’t know what intelligence is.
    0:18:25 Some people say intelligence is what a standard intelligence test measures, which is a bit
    0:18:26 circular.
    0:18:29 But again, I don’t quite know what that is.
    0:18:31 Any cognitive capabilities are correlated.
    0:18:35 If you’re good at one thing, often you’re good at something else, often a weak correlation,
    0:18:37 strong correlation.
    0:18:41 So these intelligence tests are just something, maybe arbitrary, which is correlated with
    0:18:45 many things, which colleges may want to find this out because it may be correlated with
    0:18:47 how our students do.
    0:18:49 But many other tests would also.
    0:18:51 So I really don’t know what intelligence is.
    0:18:59 Personally, I’m really, so I don’t think I go around and say, oh, this person, my neighbor’s
    0:19:00 intelligent.
    0:19:06 I don’t think I would necessarily say that orthogonal to this is, is there no concept
    0:19:11 that we need to take in account something like morality, right?
    0:19:16 So that morality, you could be the most educable person in the world.
    0:19:20 Not that I believe this, but let’s just suppose for, for a second that we think Donald Trump
    0:19:22 is educable.
    0:19:24 But I would say he has zero morality, right?
    0:19:29 You, you, you could take an educable person who could learn from others and extrapolate
    0:19:31 and all do all these great things.
    0:19:33 But what if that person is fundamentally evil?
    0:19:34 Then what?
    0:19:36 Then, then it’s unfortunate.
    0:19:44 But certainly, educability only defines exactly, as they say, someone’s basic cognitive capabilities.
    0:19:49 And it’s about how facing the book that it’s the not know that I talk about beliefs that
    0:19:53 you learn beliefs of the people’s beliefs that tell you their beliefs.
    0:19:57 And so in that sense, the theory is about capabilities.
    0:19:59 So in one sense, it’s morally totally neutral.
    0:20:03 It doesn’t discuss morality because, as you say, the beliefs could be good or could be
    0:20:04 bad.
    0:20:10 But what one’s reaction to this should be, it shouldn’t be moral neutrality.
    0:20:15 As you say, some people have different beliefs and some we think are evil and some we think
    0:20:16 are good.
    0:20:21 And just because our capabilities are neutral to morality, it doesn’t mean that we should
    0:20:22 be.
    0:20:25 We should still certainly fight for what you believe is right and against things which
    0:20:28 you believe are evil.
    0:20:34 But the fact that because our basic capability is kind of neutral on morals, totally bad
    0:20:36 beliefs can spread through society.
    0:20:39 We don’t seem to have any good defense against that.
    0:20:45 If people are listening to this podcast and they’re struggling with this educable concept,
    0:20:52 do you have any people that might be well known in the the valiant hall of fame of
    0:20:58 educableness that you can say, oh, I understand that now he cites this person as educable.
    0:21:02 Is there anybody like that you can say, think of him or think of her when you think about
    0:21:03 educability.
    0:21:07 You mean someone who shows educability in the extreme?
    0:21:08 Yeah.
    0:21:09 Who’s your hero?
    0:21:11 Who’s in your hall of fame of educableness?
    0:21:17 I don’t know, but I sincerely believe that this is something which we all have.
    0:21:20 I’m not trying to define something which will separate us.
    0:21:24 I’m really trying to define something which we all have and which unifies us.
    0:21:27 So I think the educability is very important, otherwise I wouldn’t have spent so much time
    0:21:28 on it.
    0:21:33 But I don’t know, as we said before, what this correlates with exactly.
    0:21:39 What human formative correlates best with, what kind of people exhibit it the most.
    0:21:40 Yeah.
    0:21:43 So at this point, I just don’t have a good answer to your question.
    0:21:47 It’s a natural question, but it’s not the direction in which I’m looking.
    0:21:48 Okay.
    0:21:53 If we can shift gears slightly towards artificial intelligence, I know I just used the I word,
    0:21:55 but that’s what everybody use, right?
    0:22:02 At this point, when people say artificial intelligence, do you think it means that it
    0:22:09 refers to what a machine can do like a human or what a machine cannot do like a human?
    0:22:11 Like what is artificial anymore?
    0:22:16 I think the meaning of the term has changed in history, but at the moment in the media,
    0:22:21 it clearly means the kind of things which current machine systems can do.
    0:22:22 Okay.
    0:22:27 So by AI people seem to mean large language models and things for which you can download
    0:22:30 some software with which they can do.
    0:22:35 So it’s in the area of machine capabilities and manipulating language pictures.
    0:22:37 So I think that’s what it means now.
    0:22:43 It’s artificial in the sense that it’s a machine doing what humans can do and that’s what makes
    0:22:45 it artificial.
    0:22:46 Yeah.
    0:22:49 The artificial part always means that it’s doing it.
    0:22:53 Now, in your opinion, is chat GPT educable?
    0:22:59 No, no, basically chat GPT, just the one of the three requirements of educability, which
    0:23:01 is learning from examples.
    0:23:04 So it’s trained to predict the next syllable of texts.
    0:23:06 That’s what it’s trained for doing, basically.
    0:23:12 They predict syllable by syllable texts from being given billions of examples.
    0:23:19 Now, I understand at a technical standpoint, but from the outside looking in, if you just
    0:23:23 give it a series of prompts, I don’t think most people would look at it like, oh, here
    0:23:26 comes syllable after syllable very rapidly.
    0:23:29 It looks very cogent and salient to me.
    0:23:31 What’s going on there?
    0:23:32 How does that thing work then?
    0:23:39 It’s trained on a very large number of sentences, so the next syllable will be very likely to
    0:23:43 come from some sentence or some phrase which has been uttered before many times.
    0:23:49 And also, it works on very large windows of texts, so it predicts the next thing on many
    0:23:51 hundreds of characters.
    0:23:56 So it does give the impression of some sort of stream of consciousness, as if it can remember
    0:24:01 what it’s talking about for a while, because it’s got this very large bit of text from
    0:24:03 which it’s predicting.
    0:24:10 But it uses the fact that it’s got vast numbers of sentences stored, which it can use.
    0:24:17 And so some of the mystery is that with machine learning in general, intuitively, what happens
    0:24:21 if you’ve got billions of examples is something which is really counterintuitive.
    0:24:26 So if you train on these numbers, people never looked at before, then the phenomena are almost
    0:24:28 different in kind.
    0:24:34 It’s okay being impressed, I’m just impressed, so the smoothness of the sentence is amazing,
    0:24:39 but I don’t think one should assume that these things are providing you more than what it’s
    0:24:43 doing, predicting the next syllable, so certainly you shouldn’t take it to advice, for example,
    0:24:46 for some important decision you have to make.
    0:24:53 If you were to take a Turing test orientation, and now, okay, you’re going to have to correct
    0:24:57 me if I get this wrong, but the Turing test is if you’re interacting with this thing and
    0:25:00 you don’t know if it’s a human or a machine, but you can’t tell the difference between
    0:25:03 a human and a machine.
    0:25:04 Isn’t it a human?
    0:25:05 Yeah.
    0:25:06 Okay.
    0:25:11 So Turing wrote this paper in 1950, we discussed the word thinking and also intelligence and
    0:25:16 basically said that, yes, if you can’t tell the difference between a human and a machine,
    0:25:19 then you can’t say that this human is thinking and the machine isn’t thinking.
    0:25:22 So this is like almost a definition of thinking.
    0:25:26 So in some sense it’s the opposite of what I’m trying to do.
    0:25:30 I’m saying that you should define what thinking is and what intelligence is.
    0:25:32 So Turing didn’t do this, he said, it is what it is.
    0:25:36 If it looks like thinking, it’s thinking.
    0:25:42 So Turing test is where the machine can effectively impersonate a person, but again, I don’t know
    0:25:44 how far that takes us.
    0:25:48 So for example, if you look at these large language models, in some sense it looks like
    0:25:55 a human, but so the Turing thing is that you do some 20 questions with it, you ask questions
    0:26:01 and see what the answers and for example, you’ll find that large language models don’t
    0:26:04 know about yesterday’s news because it was trained a long time ago.
    0:26:05 Okay.
    0:26:08 So clearly it doesn’t pass the Turing test technically.
    0:26:09 Okay.
    0:26:15 But the point is that the Turing test philosophically is of course was very important, it’s intrigued
    0:26:17 people for decades.
    0:26:21 But by itself it doesn’t tell you what to do to make an intelligent machine.
    0:26:25 It just says that you shouldn’t quibble philosophically.
    0:26:35 So the fact that chat GPT is not educable, does that make you more comfortable with everybody
    0:26:38 jumping on large language models or does it scare you more?
    0:26:43 Is it a good thing or a bad thing that it isn’t educable at this point?
    0:26:49 The only way of saying it is that with a completely at all levels, there are some choices to be
    0:26:54 made and it’s not clear what the best choice is, but with large language models, with just
    0:27:00 learning from examples, as we all know now, we always did, the training set is all important.
    0:27:05 For example, these large language models can have a political orientation, depending on
    0:27:09 what text is being trained on, they could have a bias just depends what is trained on.
    0:27:13 Even at this level, it’s not clear what you should be doing.
    0:27:17 I mean, depending on your political orientation, you may want to train in a different way.
    0:27:21 Already we’re disagreeing on what the ideal large language model is.
    0:27:27 If you make things educable, then the problems pile up because if you just tell your system
    0:27:31 beliefs, then it’s an important question of what beliefs you give it.
    0:27:36 So maybe telling it evil beliefs is just such a good idea.
    0:27:40 So although we’re wonderful, we think and are educable, there are all kinds of problems
    0:27:43 with reducing our educability.
    0:27:46 No one knows what the best method of education is.
    0:27:49 No one knows what the best beliefs are to instill in people.
    0:27:52 No one knows what right beliefs are and wrong beliefs are.
    0:27:57 So if we made machines with the same capabilities as humans, it wouldn’t solve anything because
    0:28:01 we don’t quite know what the best thing would be is to educate humans.
    0:28:02 Okay.
    0:28:06 So if you have an educational machine, you have to educate them and make choices to be
    0:28:07 made in education.
    0:28:35 What do you think poses a greater existential threat to the survival of mankind, mankind
    0:28:38 or artificial intelligence?
    0:28:39 Mankind.
    0:28:47 So the dangers of misusing artificial intelligence or having accidents or things like that are
    0:28:52 obviously present as there are with any other dangerous technology, chemistry, nuclear weapons,
    0:28:53 whatever.
    0:28:58 But I think the extreme viewpoint that somehow machines will take over because they become
    0:29:04 so intelligent that they’ll control the world, I think that’s a misplaced fear.
    0:29:08 So certainly we have to distinguish control from other capabilities.
    0:29:12 So we certainly shouldn’t give control to a machine if you’re not sure what the machine
    0:29:13 is going to do to us.
    0:29:14 That’s absurd.
    0:29:15 Okay.
    0:29:17 So we try to not give it control.
    0:29:21 But if we don’t give it control, then what it’ll do will be things I think which we kind
    0:29:24 of understand what’s going on, bit like with chemistry.
    0:29:27 We understand some chemistry, not all of chemistry.
    0:29:33 So we have to treat it as any other powerful technology, but I don’t think by its nature
    0:29:35 it’s different from other technologies.
    0:29:39 So I don’t think some monster is going to emerge from some machine somewhere, which
    0:29:40 we don’t understand.
    0:29:42 I’m not worried about that.
    0:29:43 Okay.
    0:29:49 So is it a fair summary to say that we’re at the starting line of educableness and we
    0:29:53 are not sure how to foster it, how to grow it and all this.
    0:29:58 And so there’s so much research to be done, but it offers great potential to make the
    0:30:02 world a better place if we can just figure out how we can get people to learn more from
    0:30:05 each other, learn more from what happened before.
    0:30:08 And is that kind of the picture you’re trying to paint?
    0:30:09 Yes.
    0:30:11 That’s a very nice, generous description.
    0:30:12 Yes.
    0:30:14 I think that’s a very nice way of putting it.
    0:30:15 Yes.
    0:30:19 And in a sense, I’m asking the same question twice, but if I’m listening to this and I’m
    0:30:25 buying into this, just like people listen to Carol Dweck and buy into the growth mindset.
    0:30:27 So now what can I do?
    0:30:32 I’m looking for some tips that I can use for my teenage son to make it more educable.
    0:30:35 I’m not sure whether I can give a tip.
    0:30:39 I think possibly being aware of this dimension.
    0:30:44 So being aware to the extent to which we’re soaking up information, we easily absorb ideas
    0:30:46 which we hear.
    0:30:50 So one of the points I’m making in the book is that our educability is very strong.
    0:30:55 We soak up information, we can relate information, use information, but evaluating information
    0:30:56 is much more difficult.
    0:31:03 So if we hear a theory, it’s evaluating whether it’s true or not, isn’t part of our basic
    0:31:08 cognitive capabilities, and probably because it’s impossible if you hear some report of
    0:31:12 something happening on the other side of the world, that you can’t go and look at it.
    0:31:14 You have to see whom you believe.
    0:31:20 So I think appreciating that we are so much subject to what we hear and see, and we can
    0:31:22 soak it up and agree with it maybe.
    0:31:27 So one parameter which is important to be psychologists look at is, that’s what we said
    0:31:31 before, is that you hear all these theories, but which ones do we believe?
    0:31:33 So what’s our criteria and for whom to believe?
    0:31:38 So if we can, in turn, like all these theories, we have to choose which ones too because they
    0:31:39 may be contradictory.
    0:31:42 So what are our criteria?
    0:31:47 And so psychologists, of course, look at this, that we prefer theories which agree with what
    0:31:51 we already believe, theories which agree with our friends, et cetera.
    0:31:56 So this educability, I think, is also a weakness, it shows us all the time we’re prone to some
    0:32:01 new idea which we believe, but we shouldn’t really, we may be tricked into it, it’s our
    0:32:08 weakness to, we have some policy for agreeing with things which already have a sympathy,
    0:32:09 but maybe wrong.
    0:32:14 So I think it’s a viewpoint which is new to me, just showing how vulnerable we are to
    0:32:17 the ideas which are swirling around us.
    0:32:23 So I think being aware of this educability notion may help people in understanding what’s
    0:32:24 going on.
    0:32:28 Listen, fundamentally, I am a marketing person.
    0:32:33 So I was chief evangelist of Apple, chief evangelist of an online graphics design service
    0:32:34 called Canva.
    0:32:38 So I’m all about sales and marketing and evangelism.
    0:32:45 And I’m telling you from the outside looking in, you are holding in your hand a golden
    0:32:47 opportunity to change the world.
    0:32:54 If you could just get people off this kind of SAT IQ test, Mensa memberships and all
    0:32:59 that and just point out to them that it’s not about this score, it’s about how you can
    0:33:02 adapt and learn and coexist with other people.
    0:33:09 That’s much more important than your GPA and your SAT and I’m serious, I think you may
    0:33:14 be holding the future of humanity in your hand here, Leslie.
    0:33:16 You got a big responsibility here.
    0:33:17 Thank you for the comments.
    0:33:22 I think there are many ways this can go and I certainly need the help of lots of people
    0:33:25 to actually go in any of those ways.
    0:33:33 But yeah, so I think there’s a new idea here which is very general relevance to us, I think.
    0:33:38 There’s no doubt in my mind that Leslie is onto something with this concept of “educable”.
    0:33:43 I think it is just the flip side of Carol Dweck’s growth mindset.
    0:33:47 And you know how much I love Carol Dweck’s growth mindset.
    0:33:53 Carol Dweck and Leslie Valiant, that would be a remarkable combination.
    0:33:58 Maybe I’ll send this episode to Carol and see if she’s interested in meeting Leslie.
    0:34:00 The world would shake if this happened.
    0:34:05 Anyway, I’m Guy Kawasaki, this is Remarkable People.
    0:34:10 Once again, I’m going to remind you, please read our new book, Think Remarkable.
    0:34:16 It will help you make a difference and change the world and be remarkable.
    0:34:22 Now speaking of “educable”, we have a particularly educable group of people on the Think Remarkable
    0:34:23 team.
    0:34:30 They are, of course, Madison Nizmer, producer, Tessa Nizmer, researcher, Jeff See and Shannon
    0:34:39 Hernandez on sound design, and our best buddies, Alexis Nishimura, now at Santa Clara University,
    0:34:44 Louise Shortboard, Magana, and finally, Fallen Yates.
    0:34:46 This is the Remarkable People team.
    0:34:49 We’re on a mission to make you remarkable.
    0:35:00 Until next time, mahalo and aloha.

    In this episode of Remarkable People, Guy Kawasaki engages in a captivating discussion with Leslie Valiant, a distinguished professor of computer science and applied mathematics at Harvard University. Valiant introduces the groundbreaking concept of “educability” from his new book “The Importance of Being Educable” – the unique human ability to absorb and apply knowledge effectively. He argues that understanding and harnessing our educability is crucial for navigating the challenges posed by the rise of artificial intelligence. Join Guy and Leslie as they explore the insights from the book, the nature of intelligence, the potential of machine learning, and the importance of fostering our innate capacity to learn and adapt in an ever-changing world.

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable. 

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People. 

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable. 

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology 

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  • Charan Ranganath: Unlocking the Power of Memory

    AI transcript
    0:00:13 I’m Guy Kawasaki, and this is Remarkable People.
    0:00:20 As you’ve now heard for about 250 times, we are on a mission to make you remarkable.
    0:00:24 Today’s remarkable guest is Dr. Sharan Ranganath.
    0:00:30 He’s a distinguished professor of psychology and neuroscience at UC Davis, and he’s the
    0:00:33 director of the Dynamic Memory Lab.
    0:00:39 Sharan has dedicated over two decades to exploring the intricacies of human memory,
    0:00:45 and he’s employed a variety of methods from brain imaging to computational modeling.
    0:00:52 His book, “Why We Remember, Unlocking Memories Power to Hold on to What Matters,” offers
    0:00:55 a remarkable perspective on memory.
    0:01:01 It not only demystifies the common frustrations of forgetting, but also highlights the critical
    0:01:07 role memory plays in our daily lives, from learning and decision-making to managing trauma
    0:01:09 and fostering healing.
    0:01:13 The book challenges the traditional understanding of memory.
    0:01:18 It argues that our brains are not designed to retain every minute detail.
    0:01:24 Instead, they extract meaningful insights from our experiences to better navigate the
    0:01:27 present and prepare for the future.
    0:01:29 I’m Guy Kawasaki.
    0:01:36 This is Remarkable People, and now here’s the remarkable Sharan Ranganath.
    0:01:37 How many guitars do you have?
    0:01:39 I see guitars in this picture.
    0:01:43 So if memory serves, there’s about three.
    0:01:44 Wait, wait.
    0:01:45 What do you mean if memory serves?
    0:01:46 You’re the memory guy.
    0:01:47 I know.
    0:01:54 Well, okay, so there’s some guitars that are basically dismantled or in various states
    0:01:55 of non-playability.
    0:02:01 But if I include the ones that just need minor repairs or actually, okay, that would be three
    0:02:12 acoustic guitars, one bass, and then another two baritone guitars, and then I think three
    0:02:13 electric.
    0:02:16 I thought this was just going to be a multiple choice question.
    0:02:19 It wasn’t going to be an essay.
    0:02:22 Yeah, I know it’s one of these things.
    0:02:23 So people who play guitar will understand.
    0:02:29 So I always skimped and skimped when I was a grad student and because I played music
    0:02:33 then and I played in bands, but now that I can, I collect them.
    0:02:39 But I use them because it’s like every guitar brings out different songs from you.
    0:02:41 They feel different in your hands.
    0:02:43 So it’s not so much the sound of the guitar.
    0:02:48 With electric, it’s like you can make it sound like anything if you know what you’re doing.
    0:02:53 But it’s really more that the feel of it, the feel of different guitars brings out different
    0:02:54 playing in you.
    0:02:58 To give you a parallel question, which you could probably relate to because you mentioned
    0:03:00 surfing in your book.
    0:03:04 If you ask me, how many surfboards do you have?
    0:03:09 I would have to give you an essay answer too.
    0:03:16 Depends on how you define I have is it I have that I use or I have as trophies on the wall
    0:03:20 or I have with my kids that we share.
    0:03:25 It’s not as simple as six acoustics and three bass, but anyway, yeah, that’s right.
    0:03:26 You need a what a thruster.
    0:03:27 You need the longboard.
    0:03:29 You need so much stuff.
    0:03:30 How is your surfing?
    0:03:31 Have you continued?
    0:03:35 No, part of it is that it’s I’m a lousy swimmer.
    0:03:37 Part of it is that it’s I’m out of shape.
    0:03:39 Part of it’s that I’m very far away.
    0:03:41 Let’s blame it on the fact that I’m far away from the shore.
    0:03:47 So since I wrote the book and finished it, I have not been surfing or where do you live?
    0:03:50 I live in Davis, California.
    0:03:55 So that’s about a yeah, it’s not as bad as you might think.
    0:03:59 If I went to Bolinas, it’s probably about a two, two and a half hour drive, two and a
    0:04:00 half hours.
    0:04:01 Let’s say parking.
    0:04:03 They’re supposedly pretty bad, but it’s cold.
    0:04:04 It’s cold water.
    0:04:05 Are you in Hawaii?
    0:04:08 Oh, I’m in Santa Cruz, California, or Watson.
    0:04:09 Oh, you’re in Santa Cruz.
    0:04:10 Okay.
    0:04:11 Oh, yes.
    0:04:12 So do you have any, you have a connection with Hawaii?
    0:04:13 I’m sorry.
    0:04:14 I don’t know that.
    0:04:15 Yes.
    0:04:20 I was born and raised in Hawaii, but I never surfed what I was, it’ll growing up.
    0:04:24 And I came to California and I started at age 60.
    0:04:26 So you’re not 60.
    0:04:30 So you know, you can, you could take like probably how old are you 40?
    0:04:31 Wait.
    0:04:35 Did you say age 16, 60, six, zero, six, zero.
    0:04:36 Oh my God.
    0:04:37 You look great.
    0:04:40 That’s the beauty of high res cameras and AI.
    0:04:41 Yeah.
    0:04:45 I’m 50, I just turned 53 last week.
    0:04:48 So I got to tell you a short story to get this rolling.
    0:04:49 Okay.
    0:04:51 I’m from Hawaii.
    0:04:56 My family and I, we go to Hawaii probably every year, once a year.
    0:05:00 And when you go to Hawaii, you have the stereotypical great surfing sessions.
    0:05:05 You go to the luau, you go to all the great restaurants and all that stuff.
    0:05:09 What the Hawaii Visitors Bureau wants you to know.
    0:05:16 But one year we stayed in a place called Hawaii Kai, which is about 15 miles from Waikiki.
    0:05:23 And on New Year’s Eve, the guy who owned the house took us in this powerboat to watch
    0:05:28 the fireworks on New Year’s Eve from the water.
    0:05:34 And little did we know that a small craft warning happened while we’re out there.
    0:05:35 And so going there was fine.
    0:05:41 But coming back got really rough and people started throwing up and it was like awful.
    0:05:44 They thought they were going to die and you know, they’re like really throwing up over
    0:05:47 the side and all going crazy.
    0:05:52 And I tell you this story because now when we talk about Hawaii, we don’t talk about
    0:05:57 the great food, the great surfing, the great, we talk about the trip from hell.
    0:05:59 Okay.
    0:06:01 So now you’re the memory guy.
    0:06:05 Why do we remember what we remember?
    0:06:11 Why do we focus on something so bad at the time as like now brings us great joy?
    0:06:16 Yeah, I have a few stories like that in my book too, which is stories of things where
    0:06:19 everything went totally wrong.
    0:06:25 And you know, I always like to say that if something bad happens to you, it’s not worth
    0:06:28 it unless there’s a good story you get out.
    0:06:31 I suspect you live by similar philosophy in life.
    0:06:38 But I think the two things that come from these experiences are one is they’re emotional
    0:06:44 and are emotionally intense experiences are going to be the ones that we remember.
    0:06:49 There are certain chemicals in the brain that are released during intensely emotional experiences,
    0:06:55 times where we’re scared or times where we’re in moments of desire or attachment stress.
    0:06:59 And so those chemicals, we call them neuromodulators.
    0:07:05 They actually promote plasticity and enable memories to stick around and be more resilient.
    0:07:06 So that’s part of it.
    0:07:11 I think another part of it is that you have something that’s memorable and emotional and
    0:07:13 you want to share it with people.
    0:07:19 So if it’s not something truly traumatic that’s associated with shame, you probably
    0:07:24 will share those experiences and sometimes start commiserating about them.
    0:07:29 But then they can also be used as almost like a little brag that you survived it.
    0:07:35 As that becomes now, every time you tell that story, it becomes more memorable.
    0:07:40 It actually you strengthen that memory itself just by virtue of retrieving it over and over
    0:07:41 again.
    0:07:44 Now you might even embellish it more and more.
    0:07:48 Like I imagine you have a long version of this story that you tell people after a couple
    0:07:50 of years or something.
    0:07:53 And the long version, I’m sure there’s a lot of embellishments that come into it.
    0:07:57 And the more times you embellish, the more of those details can become incorporated in
    0:07:59 the memory too.
    0:08:04 Those experiences that are emotionally intense, but we get a good story out of it.
    0:08:08 Sometimes they become at some point more of a story than they are a memory.
    0:08:13 It started off as rough seas and it’s already progressed to small craft warning and next
    0:08:14 step is hurricane.
    0:08:19 I can see the, I can see the slope of this line already.
    0:08:22 It’s like that movie, A Perfect Storm.
    0:08:25 I’m picturing Mark Wahlberg on the boat with you.
    0:08:30 I want the rock to play me, okay.
    0:08:34 You could play you, man.
    0:08:37 So you kind of answered why we remember what we remember.
    0:08:41 But now why do we forget what we forget?
    0:08:48 So forgettable experiences are ones in which the memories are just like every other experience
    0:08:49 we have, right?
    0:08:54 What I mean by this is that memories in the brain compete with each other.
    0:09:00 And many times when we forget, it’s because these memories are drowned out by other memories
    0:09:03 that overlap with them and are similar to them.
    0:09:05 And there’s nothing remarkable about them.
    0:09:07 There’s nothing emotionally intense.
    0:09:11 There’s nothing important relative to our goals.
    0:09:13 There’s no surprises involved.
    0:09:19 And so all those factors can lead us to essentially forget about them.
    0:09:21 And that’s a good thing, right?
    0:09:26 Think of all the temporary passwords, the people who you meet in passing who you’ll never meet
    0:09:27 again.
    0:09:30 No offense, but it’s like, you know, you meet a TSA agent while you’re going through, you’re
    0:09:31 nice to them.
    0:09:36 They have one line, but you don’t really need to carry that information with you.
    0:09:37 That’s what I’m talking about.
    0:09:40 And those memories, it’s hard to reverse engineer.
    0:09:42 Why did you forget them, right?
    0:09:46 And maybe there’s something in there so that if you met that TSA agent, again, it would
    0:09:52 be a little bit easier to memorize their name and remember their face the second time around.
    0:09:54 I don’t know.
    0:09:59 Many of those things we just don’t know, but the basically the kinds of factors that make
    0:10:06 something forgettable are unimportant, familiarity, like they’re just not novel, predictable,
    0:10:09 and emotionally bland.
    0:10:15 It sounds like I’m bringing back TSA trauma to you, but okay.
    0:10:20 So well, I just got back from Seattle a couple of days ago, but it wasn’t a traumatic one.
    0:10:25 It was actually a nice experience, but I could not remember the TSA agents that I dealt
    0:10:27 with for the life of me.
    0:10:31 Actually, there was a colorful, so this is a great example.
    0:10:37 The one thing I remember was there was an extremely colorful guy who was near the conveyor
    0:10:45 belt and he just kept saying, okay, don’t forget to put this inside, put your electronics
    0:10:51 in a separate crate, but he was doing it in this way that was almost like theatrical.
    0:10:56 And it just struck, that’s what I remember from my TSA experience and if it wasn’t for
    0:11:00 that guy, I would not have any memory of it, I’m sure.
    0:11:04 It’s like when you see a traffic cop having really lots of fun, right?
    0:11:05 Exactly.
    0:11:06 Yeah.
    0:11:07 Yeah.
    0:11:08 Exactly.
    0:11:13 Explain to me, are things like remembered and then forgotten, or is it, what’s sort
    0:11:15 of the baseline?
    0:11:20 Do you remember and then you forget or you forget and then you have to recall?
    0:11:21 What’s going on there?
    0:11:25 Are we predisposed to forget or predisposed to remember?
    0:11:33 This is a very hard question to answer because it depends on what it is we’re talking about.
    0:11:38 So what I would say is on average, we’re predisposed to forget and what I mean by this is research
    0:11:44 shows that if you give people like a bunch of meaningless information that they have
    0:11:51 to memorize about little less than two thirds of it will be forgotten by the next day.
    0:11:55 How that translates though into real world events is a little bit harder to say, but
    0:12:01 on average, I would argue that, yeah, we forget most, and here’s one way in which we can answer
    0:12:02 this question, right?
    0:12:07 Later on, you say, hey, do you remember that really amazing interview you did with this
    0:12:08 memory researcher?
    0:12:15 So then you go, oh yeah, and you describe it and you can describe that event in like
    0:12:19 about two minutes, but then at that point you’re going to run out of details to talk
    0:12:21 about, right?
    0:12:27 So it’s not a literal replay of however long we’re going to spend talking.
    0:12:29 It’s really a reduced version of that.
    0:12:35 And there’s a lot of details, exact words that I’m saying, exact things that are going
    0:12:40 on in the background, sentences, even several minutes, they’re just going to be dropped.
    0:12:45 So when I’m asked about this interview in a year, I’m going to say, oh, that’s the guy
    0:12:49 with all the guitars, right?
    0:12:52 Then you’ll go, what was he talking about again?
    0:12:53 I can’t remember.
    0:12:55 Oh, yes, that’s what we talked about.
    0:12:57 We talked about forgetting.
    0:12:58 Yeah.
    0:13:02 But when people ask you about interviewing with me, you’re going to say, oh, that’s the
    0:13:07 guy who sent me to socks, and you’re not going to remember anything right.
    0:13:12 I have already forgotten many of the podcast interviews, but I will not forget the man
    0:13:19 who sent me those great socks and the microphone too.
    0:13:23 I don’t care what it takes to stand out as long as I do.
    0:13:26 So now, no, no, this has been a lot of fun already.
    0:13:31 He’s a very memorable interview, so much more memorable than you say that to all the
    0:13:32 podcasters.
    0:13:49 But anyway, I mean it on a slightly more serious topic, based on your book, I must say that
    0:13:55 I am not too confident in witness testimony.
    0:14:00 So when you read about criminal cases and it’s 10 years old and they have eyewitnesses,
    0:14:04 it’s hard to have faith in what they’re saying, isn’t it?
    0:14:06 I think it depends.
    0:14:12 What I hope to convey in the book was that you can’t look at any of these things in
    0:14:15 memory as an all or none phenomenon.
    0:14:20 In the case of eyewitness testimony, it’s not like I’m telling people, “Oh, ignore
    0:14:21 it.
    0:14:26 It’s all unreliable,” nor would I say that it’s like you should just blindly trust a
    0:14:28 confident witness.
    0:14:31 Let’s say if you and I became friends, and hopefully we will because I need some serious
    0:14:38 surf instruction, and I have to go visit you and Santa Cruz a bunch of times, right?
    0:14:44 We start hanging out, we become pals, I teach you a little guitar, you teach me a little
    0:14:50 guitar, and so next thing you know, I see you rob a bank or something like that.
    0:14:53 So the policeman said, “Okay, so who robbed the bank?”
    0:14:59 I’ll say it was Guy Kawasaki, and I will be very confident and I’ll be pretty accurate
    0:15:03 because I know you, and so I have a very good memory of who you are.
    0:15:08 I’m hopefully not going to mistake you for somebody who looks like you, right?
    0:15:13 But on the other hand, if it were somebody who I didn’t know, and let’s say they were
    0:15:18 from, my wife actually says this to me, that I cannot tell faces apart, she’ll say this
    0:15:24 about anybody, if you look at the literature, for instance, there’s a big factor called
    0:15:30 the other race bias where essentially people have a harder time recognizing faces of people
    0:15:35 of other races, and it’s not necessarily a prejudice thing, it can be just a lack of
    0:15:38 exposure to people of other races.
    0:15:43 It’s also the fact that I think there’s data to suggest that people, when they look at
    0:15:49 someone from another race, they actually don’t pay attention to what makes them unique as
    0:15:53 much as the factors that help them identify the race, whereas when they look at people
    0:15:58 of their own race, they’re able to actually see them as a unique face, which is sad but
    0:16:01 also fascinating and revealing.
    0:16:07 So let’s say somebody is trying to do an other race identification, and it’s very quick,
    0:16:13 they just get one flash, and then let’s say they look at the mugshot, and then they’re
    0:16:18 being asked to look at it again and again and again, and then at some point, third time
    0:16:20 around, they’re like, I think that’s it.
    0:16:24 So then they do another lineup, they’re like, I think that’s it, and then they really, the
    0:16:26 third time around, they’re really sure.
    0:16:32 At that point, that’s a highly unreliable testimony because people can essentially create
    0:16:38 a memory for seeing this person rob the bank when actually they just saw this person in
    0:16:42 the mugshot book, and they may have looked a little bit like the person who robbed the
    0:16:43 bank.
    0:16:47 And as they look at it more and more, they become more and more confident.
    0:16:51 So there’s a case like this in the literature that I describe in the book, and in fact,
    0:16:55 there’s many other cases out there that I did not describe in the book, but this is a remarkably
    0:16:56 common thing.
    0:17:02 And you’ll even see this with AI face recognition systems, that they will also have these biases
    0:17:05 especially with people of color.
    0:17:10 And the reason the AI systems have this problem is because they’re using data curated by humans,
    0:17:12 and the internet has these biases baked in.
    0:17:19 So it’s an issue period when it comes to face recognition of strangers.
    0:17:20 There’s more to it.
    0:17:22 I could go on and on and on, but that’s just one example.
    0:17:29 You dedicate quite a bit of space to the creation of false memories, and I got the impression
    0:17:36 that in the hands of a skilled or skillful or manipulative person, that person can create
    0:17:39 false memories in people without too much difficulty.
    0:17:41 Did I get that right?
    0:17:46 I would say that we don’t know why, but some people seem to be more susceptible than other
    0:17:47 people.
    0:17:52 There does seem to be some evidence that age and so children and the elderly are a little
    0:17:56 bit more susceptible to false memory creation.
    0:18:00 There’s other factors like if you’re under the influence of alcohol, if you’re just tired
    0:18:06 and stressed out, all these things that reduce your ability to check yourself would be the
    0:18:08 factors that predispose you.
    0:18:14 Under an ideal circumstance, no, many people would not be susceptible to having an entirely
    0:18:20 false memory created, but I would argue that most people are susceptible to having their
    0:18:21 memory corrupted.
    0:18:26 And what I mean by that is that maybe you could ask me a question about a crime and
    0:18:28 you give me a leading question.
    0:18:33 When you saw this person rob the bank, were they in a blind rage?
    0:18:37 And let’s say they just seemed a little bit, you saw someone and they’re just walking into
    0:18:41 the bank and they just look a little frowning or something like that.
    0:18:47 You might now remember it more like they were really ready to go off and they’re unhinged.
    0:18:52 And that’s the power of imagination because when we remember the past, we get all these
    0:18:58 little bits and pieces, but then we generate a story and that story reflects our beliefs
    0:18:59 in the present.
    0:19:07 Aren’t you telling me that a skillful detective or a skillful prosecutor or a skillful criminal
    0:19:11 attorney can use these things to their advantage?
    0:19:13 I would argue that they do.
    0:19:20 I wouldn’t necessarily say that it’s intentional to create a false memory, but I think a good
    0:19:27 defense or prosecuting attorney will want to manipulate their witnesses to say what will
    0:19:30 be needed to convince a jury, right?
    0:19:33 But I think during the question, I mean, there’s a technique that I talk about in the book
    0:19:39 called the read technique and it’s part of a standard manual for interrogation.
    0:19:45 And it contains basically the recipe for getting people to confess to crimes that they never
    0:19:46 even committed.
    0:19:52 It’s definitely those kinds of questioning approaches that can lead people to get severe
    0:19:56 distortions in their memory, but not everybody uses those techniques.
    0:20:01 I don’t in fact know how many people use those techniques, but it is out there for sure that
    0:20:02 somebody can.
    0:20:06 And keep in mind, by the way, this is not just limited to prosecutors.
    0:20:13 So one of the things I talk about in the book is an example of how George Bush Jr. was going
    0:20:16 up in a primary against John McCain.
    0:20:21 And so his campaign started doing these phone polls where they would call up people at their
    0:20:28 homes and say, Hey, do you remember when John McCain said this, what do you think of it?
    0:20:33 And they implanted things in the questions that weren’t true.
    0:20:38 And so what happened is that people who did the polls were more likely to think it was
    0:20:39 true.
    0:20:44 And so they spread this false information about John McCain and had to do his tax policies
    0:20:50 and this incredibly racist story of him like fathering a black child illegitimately.
    0:20:55 And these stories ended up spreading just because they were in the question that was
    0:20:57 being asked in this poll.
    0:21:01 That wasn’t even studied by memory researchers until years later.
    0:21:02 Wow.
    0:21:07 And I suspect that in the research community, we’re catching up to where people are actually
    0:21:09 using these techniques already in the real world.
    0:21:16 You also mentioned a positive sense of that quizzes can help you learn as opposed to just
    0:21:18 help you test, right?
    0:21:20 This is the same concept.
    0:21:22 Absolutely.
    0:21:27 If you’re trying to say learn a new language, for instance, or even memorize someone’s name,
    0:21:30 the intuition would be, Oh, I need to study it.
    0:21:33 I need to just say it over and over in my mind, say the name.
    0:21:38 Or if I’m trying to learn a word, I can just memorize the Spanish word just by saying it
    0:21:43 over and over again, like a Palabra, which is Spanish for word, actually.
    0:21:44 That’s not true.
    0:21:47 The better way is actually to test yourself.
    0:21:54 And one of the coolest findings out there is if I test myself on a word or a name before
    0:21:59 I even get it, testing myself even before I know the answer can actually help me remember
    0:22:01 it better.
    0:22:03 And so we have a computer model of how this works.
    0:22:09 What happens in the computer model is when you have some degree of error in the testing,
    0:22:12 that’s when you really get some benefit.
    0:22:17 Because then what happens is the brain can suppress the wrong answer, which helps the
    0:22:19 right answer pop out more in memory.
    0:22:21 Wait, let me get this straight.
    0:22:26 So you’re saying if you’re trying to learn a new subject, you take a quiz before you know
    0:22:28 anything about it to prep you?
    0:22:29 Yeah.
    0:22:30 Wow.
    0:22:34 Now what I would do is prep on each thing that you’re trying to learn, though, but do
    0:22:35 the prep test.
    0:22:40 You don’t want to wait till the end after you spent an hour studying and then give your
    0:22:43 or I mean, you basically don’t want to do it like give yourself a quiz on the entire
    0:22:46 thing and then, you know, an hour later, come back to it.
    0:22:49 You want to get some feedback fairly immediately.
    0:22:55 This is it’s an eerie coincidence, but I’m Madison and I just about to release a book
    0:22:59 called Think Remarkable and this is the Remarkable People podcast.
    0:23:04 So we have a lot of knowledge about how people can become remarkable.
    0:23:09 And we’re also creating a course with Canva about how to be remarkable.
    0:23:18 And the people who designed the course, they have quizzes inside each section, really simultaneous
    0:23:21 with actually presenting the information.
    0:23:24 And they said, yeah, these quizzes help people learn.
    0:23:25 And I said, how can they help people learn?
    0:23:28 They don’t know the answer yet.
    0:23:33 And then, but a bing, but a bang, one week later, I’m hearing from a scholar that yes,
    0:23:34 it’s true.
    0:23:35 There you go.
    0:23:36 God works in strange ways.
    0:23:37 Yeah.
    0:23:39 That’s exactly right.
    0:23:47 I see in your book and many other books, they always talking about MRIs, right?
    0:23:51 So they show a person this and they look at the MRI and they say, okay, this is where
    0:23:55 the prefrontal cortex spiked and this proves that and that.
    0:23:57 I mean, is this all bullshit?
    0:24:02 I mean, tell me, everybody’s going into an MRI and they’re proving that this does that.
    0:24:05 You look at an image of this, it spikes this.
    0:24:06 Everything is an MRI.
    0:24:13 It’s an MRI so reliable that I could show the MRI result to a scientist and the scientists
    0:24:19 could say, oh, I can tell you what caused that spike as opposed to show the person this
    0:24:24 and then prove that the MRI, MRI do that is MRI predictive.
    0:24:30 So you’re actually asking me the method that I’ve used it by research for the past 25 years
    0:24:31 is it all bullshit?
    0:24:33 You should be able to defend it.
    0:24:35 Oh, no, you’re absolutely right.
    0:24:38 No, actually, the question is various stew.
    0:24:43 Can you just look at an MRI scan and can it be predictive?
    0:24:49 And the answer is in some circumstances, yes, for instance, what people are starting to
    0:24:55 do is to use machine learning techniques where if somebody’s watching a movie or even if
    0:25:02 somebody’s remembering a movie, you can train computer models that relate the brain activity
    0:25:06 to the things that people are seeing and thinking about and so forth.
    0:25:12 And then in theory, you could present new things to the person and be able to generate
    0:25:16 a prediction of what it is they’re thinking about, what it is they’re remembering.
    0:25:23 Now, that requires a lot of data that may need to be person specific and right now we’re
    0:25:28 still in the stone age of doing that for anything that’s remotely interesting.
    0:25:29 But it can be predictive.
    0:25:34 A lot of the work that I talk about in the book, though, is more of an average of people,
    0:25:35 right?
    0:25:41 And this is a lot of the psychology and the neuroscience of everything, the neuroscience
    0:25:46 of everything is averaging across people and across animals and so forth.
    0:25:52 And so we don’t yet have a great idea of what makes you different from me.
    0:25:56 And that is something I think that’s the big gaping hole in our research.
    0:26:02 And then sometimes people do experiments and they just don’t have the richness to be able
    0:26:07 to do what you said, which is to predict what you’re going to do.
    0:26:11 But I think we can do it and that’s one of the goals that I have in my research for the
    0:26:17 next few years where we’re developing computer models of memory and we are using machine
    0:26:19 learning tools in our MRI research.
    0:26:20 And so that would be the hope.
    0:26:23 And let me just add, I know we keep giving you these long answers.
    0:26:27 I should just add MRI is just one tool.
    0:26:30 We’re measuring blood flow in the brain, which is very slow.
    0:26:35 There’s other tools like where we can record directly from the brain in patients who have
    0:26:39 epilepsy, for instance, they stick electrodes in their brains for surgery, where we can
    0:26:42 read out data in the millisecond scale.
    0:26:46 And that’s the time scale in which brain activity really happens.
    0:26:51 And so I think in an ideal world, we would be able to do that in general.
    0:26:53 So MRI is one technique.
    0:26:58 It’s very crude, but it can be very powerful in the right circumstances.
    0:27:02 Please don’t take this personally because quite frankly, nonfiction book writers, business
    0:27:06 book writers like me, we have no proof of what we say is true either.
    0:27:08 So don’t sweat that.
    0:27:09 No, no, I really have not.
    0:27:11 I was giving you a hard time.
    0:27:14 But can I just one more detail?
    0:27:22 So I have had something called Meniere’s disease, which is deafness, tinnitus and vertigo.
    0:27:27 And when you first try to get diagnosed, they stick you in an MRI.
    0:27:32 And this MRI is this thing where you’re in this huge thing and you’re in this little
    0:27:37 whole tunnel and it sounds like a jackhammer is going off in your head.
    0:27:42 Is that the kind of MRI you’re saying that we show people movies and we measure their
    0:27:43 MRIs?
    0:27:46 They’re sitting in the middle of this thing with their jackhammer in their head watching
    0:27:47 the movie.
    0:27:48 Is that what you’re telling me?
    0:27:49 It’s remarkable.
    0:27:50 Yes.
    0:27:54 Actually, every kind of scan we do, let’s say if I want to get a picture of the structure
    0:28:00 of your brain or I want to look at the white matter in your brain or I want to be able to
    0:28:05 measure fluctuations of brain activity, they all involve different kinds of what you call
    0:28:09 pulse sequences, which are different ways of using the magnets to measure things in
    0:28:11 the brain.
    0:28:16 And I have had people in my lab who’ve been scanned so many times, they actually can tell
    0:28:20 what it is we’re scanning based on the unique sounds of the pulse sequence.
    0:28:26 So how do we do experiments is a great, you’re really guy, I guess these are remarkable questions.
    0:28:28 I never get these questions.
    0:28:29 So it’s great.
    0:28:33 So if people are lying in an MRI scanner, they actually look up and there’s a little
    0:28:39 mirror and then they can see in the mirror outside of the magnet, we have a video screen
    0:28:42 and the video screen will play the movie.
    0:28:47 And they have these noise canceling earbuds that we put in and we put like ear plugs around
    0:28:51 them to keep them insulated from the sound of the magnet.
    0:28:54 And so people can hear them and we have a noise canceling microphone that people can
    0:28:57 use to speak to us while the scans are taking place.
    0:29:01 So it’s not cheap, it’s not easy, but we can do it.
    0:29:02 Okay.
    0:29:09 So I’ve had maybe two or three MRIs in my life and I will tell you, an MRI is the most disturbing
    0:29:13 thing you can have without pain.
    0:29:18 Like why would, do you pay these people a lot to do this or they just massacred us?
    0:29:23 They just like like sitting in a tunnel with a jackhammer going off in their brain.
    0:29:26 No, we pay people, but not all that much.
    0:29:29 And first of all, you should have ear protection.
    0:29:34 So the jackhammer-ness, it actually, the experiments we’re doing, most of it just sounds like beeping,
    0:29:36 beep, beep, beep, beep, beep, beep.
    0:29:37 It just depends.
    0:29:41 Some people have claustrophobia, for instance, and can’t stand it.
    0:29:42 I have trouble staying awake.
    0:29:47 I feel like if I could, I would probably sleep in an MRI scan or better than I would in my
    0:29:48 house.
    0:29:51 It’s, it can be so comfortable.
    0:29:55 If I ever come to Davis, we’ll try an MRI.
    0:29:56 Okay.
    0:29:57 All right.
    0:29:58 All right.
    0:30:03 Now, why do some memories return out of the blue seemingly?
    0:30:08 Sometimes what happens is that you haven’t forgotten a memory, but you just don’t have
    0:30:10 the right way to access it or find it.
    0:30:15 And what I mean by that is you can think of the world as having a bunch of cues in it.
    0:30:21 They could be like a key that unlocks your access to that memory and helps you time travel
    0:30:22 back to that point.
    0:30:25 But without the key, you don’t actually have any access.
    0:30:32 So in the case of memory, we find that things like music, for instance, everyone tells me
    0:30:36 that almost everyone tells me that music, they’ll hear a song from their childhood and
    0:30:41 boom, it brings back some memory that just seemed dormant before that.
    0:30:42 Smells are another one or being in a particular place.
    0:30:48 I bet you when you go back to your hometown in Hawaii, you probably have memories that
    0:30:55 pop into your head that you didn’t think about while you were here in Santa Cruz, right?
    0:31:00 Places, smells, anything that’s unique to a time in your life can be the cues that allow
    0:31:03 you to travel back to those times.
    0:31:06 I thought you said by default, we’re forgetting.
    0:31:11 So what does it mean to forget if all of a sudden you can smell something and it comes
    0:31:12 back?
    0:31:16 Is it like a forgotten, is it like a hard disk where you reformat and it’s gone?
    0:31:17 Yeah.
    0:31:20 So this is, I wrote about this actually in an editorial, which is that there’s different
    0:31:22 kinds of forgetting.
    0:31:27 There’s forgetting that out says the benign kind, which we call retrieval failure, where
    0:31:31 it’s not that the memory isn’t there, it’s just that you don’t have the right cues to
    0:31:32 find it.
    0:31:35 And this happens a lot as we get older.
    0:31:40 Then there’s the big F forgetting where you just lost the memory or you never really adequately
    0:31:42 formed the memory in the first place.
    0:31:47 That also happens to all of us and it happens a little more as you get older, but it’s not
    0:31:51 much worse than you’d think.
    0:31:56 If it happens very, very quickly and it happens all the time, that’s a sign that you have
    0:31:58 a memory disorder.
    0:32:02 But what you’re talking about is the classic retrieval failure case where you don’t have
    0:32:06 any awareness that’s there because you don’t have the right cue to get you back.
    0:32:12 And is there a purposeful way to get the cue or it’s just happenstance.
    0:32:15 You smell the same durian or something.
    0:32:16 There is a way for sure.
    0:32:24 So all of our experiences in life, all these events are like basically encoded in our brain
    0:32:27 according to the time and place they happen.
    0:32:31 That’s in a place that part of the brain called the hippocampus and this part of the brain
    0:32:35 just blindly associates things according to when and where they happen.
    0:32:39 But what you can do is you can put yourself in the mindset.
    0:32:44 So if you just close your eyes now and imagine the sounds of the birds and the smell of the
    0:32:51 tropical flowers and the ocean kind of rushing in on the beach, you could probably remember
    0:32:56 some of that Hawaiian vacation that you took and be able to pull up memories that go beyond
    0:33:02 just simply that time where you almost drowned in the tidal wave on New Year’s Eve.
    0:33:05 When I smell barford reminds me of that night.
    0:33:06 How’s that?
    0:33:11 No, I’m trying to go for more pleasant.
    0:33:17 The answer I’ve been hoping to get since I read your book is this.
    0:33:24 It seems to me that you’re saying that the human mind has the ability to remember important
    0:33:31 things and that’s why we forget stuff so that we’re not distracted or our hard disk is not
    0:33:33 all used up.
    0:33:39 But I’m telling you that where my car keys are and what my hotel room number is.
    0:33:44 I know is important, but how come I cannot remember those things?
    0:33:46 They’re important.
    0:33:51 They’re very important and it is one of the most frustrating things, but the things that
    0:33:54 we forget about that are important.
    0:33:58 The problem is that we have so much competition in memory.
    0:34:05 So if you’re not disciplined and I’m definitely not disciplined and you put your glasses or
    0:34:10 your keys or your cell phone in random places as soon as you get distracted, what happens
    0:34:16 is that you have now multiple places and where you have memories for different places that
    0:34:19 you put your keys at different times.
    0:34:21 So the issue isn’t where did I put my keys?
    0:34:27 It’s where did I last put my keys because there’s all these other memories of where you put
    0:34:28 your keys yesterday, right?
    0:34:33 If you’re going around traveling, giving talks to big audiences, which I’m sure you
    0:34:39 do, it’s not what’s the number of my hotel room, but what’s the number of today’s hotel
    0:34:42 room as opposed to the one I had last week.
    0:34:47 And these are fairly arbitrary bits of information and they’re competing with all these other
    0:34:53 similar memories and often we don’t pay enough attention to them even though they are important.
    0:34:59 And so all those factors lead you to get something that’s highly forgettable.
    0:35:04 And this is more the lowercase F benign forgetting like retrieval failures.
    0:35:10 Tell me if this is what you call a scheme and listeners scheme is a positive in this sense.
    0:35:12 It’s not like a Donald Trump thing.
    0:35:15 This is a scheme to help you remember.
    0:35:21 So I used to go to SFO all the time, like once a week I used to park in SFO.
    0:35:30 And I came up with this scheme that no matter what, I would always park on the bottom floor.
    0:35:35 Even if it was the opposite side of the parking lot, I would always park on the bottom floor.
    0:35:40 That way, whenever I return, I would always know it’s on the bottom floor.
    0:35:43 You don’t have to remember all the floors and all the colors.
    0:35:45 Is that what you call a scheme?
    0:35:48 Or you think are you talking about a schema?
    0:35:49 A schema.
    0:35:50 Sorry.
    0:35:51 That’s okay.
    0:35:52 I do like scheme.
    0:35:55 I wish memory readers used more terms like that.
    0:35:56 Yes.
    0:36:02 Actually, so you can think of what you’re talking about as a way of organizing information
    0:36:03 and memory.
    0:36:08 So you just have a rule that you use that you can go back to again and again.
    0:36:14 And so my guess is if you just have that rule, you’ve simplified the playing field a lot.
    0:36:18 And that makes it a lot easier to remember where you park your car while it’s on the
    0:36:20 ground floor.
    0:36:25 And so because you’ve reduced the amount that you have to remember, it makes it easier to
    0:36:26 pull that information up.
    0:36:32 And that’s the key to schemas in general, is there a tool for reducing the amount of
    0:36:33 information you need to memorize.
    0:36:34 Okay.
    0:36:38 And so now you might as well explain chunking for us too.
    0:36:43 To understand chunking, it first helps to just keep in mind that we have only a limited
    0:36:46 amount of information that you can hold in your mind at a given time.
    0:36:51 So if you tried to spell my name out, you just didn’t have any idea and I just gave
    0:36:56 you all the letters of my name, you’d have a really hard time keeping all those letters
    0:36:58 in mind.
    0:37:03 But if I tell you just my name is Charan Ranganath and you just have two things to keep in mind,
    0:37:05 well, that’s not so bad.
    0:37:08 But those things don’t have a whole lot of meaning.
    0:37:11 So you might actually store it as Charan Ranganath.
    0:37:13 So it’s like five things.
    0:37:18 But once you’ve read my book and once we’ve talked to become friends, now it’s just one
    0:37:20 chunk in your mind.
    0:37:26 So the same amount of information could be just far too much to hold in mind or just
    0:37:31 the max of what you can hold in mind or something that you can easily hold in mind just depending
    0:37:35 on how much you’re able to lock it in with your prior knowledge.
    0:37:37 Up next on Remarkable People.
    0:37:43 So you could find somebody who seems like they have a terrible memory or they seem like
    0:37:46 they’re not very intelligent, put them in the right context and all of a sudden they
    0:37:47 seem a lot better.
    0:37:53 So, I don’t know, it’s a little bit of a, maybe I’ve bought into the whole Adam Grant
    0:37:59 hidden potential thing, but I feel like there’s a lot that we don’t know about people and
    0:38:04 I would definitely not encourage anyone to look at somebody who’s struggling to remember
    0:38:07 something and say, “Well, that person’s not intelligent.”
    0:38:16 Thank you to all our regular podcast listeners.
    0:38:19 It’s our pleasure and honor to make the show for you.
    0:38:25 If you find our show valuable, please do us a favor and subscribe, rate and review it.
    0:38:31 Even better, forward it to a friend, a big mahalo to you for doing this.
    0:38:36 You’re listening to Remarkable People with Guy Kawasaki.
    0:38:43 Tell me that you have become dependent on Apple Tags.
    0:38:52 I have bought them, but I have not yet remembered to actually set them up.
    0:38:58 You’re asking this question is the first time in months that I’ve thought about it.
    0:39:03 Because you know, Apple Tags really, they do tell you where your keys are and they beep
    0:39:06 for you and they really help.
    0:39:11 Because someone who is key location challenge, I’ll tell you, it’s a game changer.
    0:39:18 I actually bought some for my glasses because glasses are the one that I lose all the time.
    0:39:21 And I just haven’t taken the time to set them up.
    0:39:30 Okay, so now many creativity experts say that it really helps to be creative and create
    0:39:37 memories. If you write things down longhand, not type them, you have to write them down
    0:39:38 longhand.
    0:39:42 Is that like an old wives tales or there’s some truth to that?
    0:39:43 I don’t know.
    0:39:45 I don’t study creativity.
    0:39:50 I know somebody, Indra Viscontas, who’s like really into this research and I would ask
    0:39:51 her.
    0:39:55 But wait, what about you for remembering things?
    0:39:58 Is it better to type notes in a class or write them down?
    0:40:03 I actually, there’s a study on this that was done that said that it was better to write
    0:40:08 them down, but then another study did not replicate that finding.
    0:40:14 So it’s not 100% clear, but I think the principle that you can see based on everything that’s
    0:40:20 been done in memory research is if I were to just write down literally every word you
    0:40:24 say and just barf it onto a piece of paper, that’s not helpful.
    0:40:27 And in fact, it can be counterproductive.
    0:40:31 But if I’m thinking about what you say and I go, aha, this is the remarkable part of
    0:40:33 what he’s telling me.
    0:40:38 And I write that down or I use my notes to say, hey, wait a minute, he mentioned this
    0:40:42 thing about the surfing and then we talked about it previously.
    0:40:44 This is something that he really likes to talk about.
    0:40:49 And I just focus on those parts that are the most meaningful.
    0:40:55 Now I’m actually enhancing my memory because the writing is focusing me on what’s unique
    0:40:56 about this moment.
    0:40:58 And that’s the key for everything.
    0:41:03 Whether it’s writing notes, typing notes, taking pictures, it’s really all about focusing
    0:41:08 you on what’s unique in the moment for memory.
    0:41:13 And I imagine for writing down ideas, it’s a similar kind of thing because part of writing
    0:41:16 things down by hand means slowing it down.
    0:41:19 I don’t know about you, but I’ve almost forgotten how to handwrite.
    0:41:22 So it’s so slow for me.
    0:41:24 So I really have to think about what I’m going to write.
    0:41:28 And I think if people are deliberative, that’s what really helps.
    0:41:36 You discuss this person who became a memory superstar, the world’s greatest memory competition
    0:41:37 or whatever it is.
    0:41:40 So what explains people like that?
    0:41:45 So there’s this whole group of people out there called memory athletes and they’ll get
    0:41:51 into these competitions where they’re being asked to just memorize the order of a deck
    0:41:58 of cards, for instance, or a series of names and faces that they’re just like endless.
    0:42:03 And people learn these strategies, the interviews that I’ve seen with memory athletes, none
    0:42:07 of them say, oh, I’ve been blessed with a great memory from birth.
    0:42:08 They don’t say that.
    0:42:13 What they say is that I’m just like anybody else, but I just learned these strategies
    0:42:16 and I practiced them over and over again.
    0:42:22 And I would argue, in fact, that we all have this capability that we use, but we just don’t
    0:42:23 realize it.
    0:42:28 So an example that I give in the book that I just love is LeBron James, for instance.
    0:42:32 So LeBron says he has like a photographic memory.
    0:42:38 And there’s these gorgeous YouTube videos of him actually calling out point by point
    0:42:44 everything that’s going on and several plays in a row basketball game that he just played.
    0:42:46 And it just corresponds beautifully.
    0:42:51 You can see the videos side by side of his own recollections and they’re remarkably detailed.
    0:42:57 But the thing is, is that he has such a beautiful memory for the game, such a beautiful knowledge
    0:42:58 of the game and so much expertise.
    0:43:05 And you can see this in chess experts, you can see this in bird experts, it’s that expertise
    0:43:11 basically gives you these rich, rich schemas that you can use to encode less.
    0:43:15 You actually can simplify the memory problem dramatically.
    0:43:22 And so that’s what memory athletes do, is they learn strategies for memorizing decks
    0:43:29 of cards and so forth that allow them to effortlessly pick up this new information.
    0:43:34 In the case of LeBron James, is it the fact that LeBron James is a great basketball player
    0:43:40 so he can have such detailed memories or he has a great memory so he can become a great
    0:43:41 basketball player?
    0:43:49 I believe that he’s put in the time to learn and to study the game.
    0:43:56 And I would argue that he’s extraordinarily intelligent and capable of deploying that
    0:43:57 information.
    0:44:01 I only wish that I wasn’t an MRI when the outage occurred.
    0:44:07 Then I would, you could see what happens to my hippocamos when I, when a podcast goes
    0:44:09 off the rails like that.
    0:44:10 You could see what part of my brain.
    0:44:15 I actually bet I would have seen a huge spike in activity.
    0:44:16 There was definitely no huge spike in interaction.
    0:44:20 Maybe we have to start scanning you while you’re doing podcast interviews.
    0:44:23 That would be a lot of fun.
    0:44:26 That would be a little scary here.
    0:44:29 Well, luckily, we’re going to see what we get.
    0:44:30 Who knows?
    0:44:36 But I have a backup recording in real time here locally so that should not be anything
    0:44:38 too bad for us.
    0:44:42 So we were talking about memory superstars and their normal people, what they have developed
    0:44:43 these techniques.
    0:44:44 Great.
    0:44:49 But so my last question is that I think a lot of times when people see, I don’t know,
    0:44:55 winners of the spelling bee or winners of this memory test, they equate that ability
    0:45:02 to regurgitate or recall facts with intelligence.
    0:45:09 Is that necessarily, like a good speller is intelligent or someone who can tell you the
    0:45:12 order of a deck of cards?
    0:45:17 Does that mean that person is smart or just can regurgitate stuff?
    0:45:23 I believe that the concept of intelligence is stupid.
    0:45:28 I just think this idea of intelligence, it just does it.
    0:45:32 When you actually think about it as a neuroscientist, it just makes no sense.
    0:45:36 Now there are people I know who believe in it in the field of neuroscience, but getting
    0:45:42 back to your question, I think that, no, I would not use the ability to remember things
    0:45:45 as an index of memory.
    0:45:51 I think that there are correlations between what people do on tests of IQ and people’s
    0:45:55 ability to remember certain facts and so forth and their ability to learn.
    0:46:01 But part of it too is how interested are you, how capable are you of insulating yourselves
    0:46:03 from the distractions?
    0:46:06 How much are you willing to follow directions?
    0:46:08 And that’s all part of it.
    0:46:14 So you could find somebody who seems like they have a terrible memory or they seem like
    0:46:17 they’re not very intelligent, put them in the right context, and all of a sudden they
    0:46:18 seem a lot better.
    0:46:24 So I don’t know, it’s a little bit of a, maybe I’ve bought into the whole Adam Grant
    0:46:30 hidden potential thing, but I feel like there’s a lot that we don’t know about people and
    0:46:35 I would definitely not encourage anyone to look at somebody who’s struggling to remember
    0:46:38 something and say, well, that person’s not intelligent.
    0:46:42 People can often remember everything, but understand nothing.
    0:46:45 So it’s not necessarily that the two go together.
    0:46:53 Well, but wouldn’t you say that so much of standardized tests is built on memory to remember
    0:46:57 facts you scored higher on a, on a standardized test or an IQ test?
    0:47:01 But does that really test intelligence?
    0:47:06 There’s certain kinds of memory, which would be called semantic memory, which is your knowledge
    0:47:08 about facts, for instance, knowledge about the world.
    0:47:13 And that is what’s called crystallized intelligence.
    0:47:18 And that is measured on some IQ tests, but it’s different from what people call fluid
    0:47:26 intelligence, which is this ability to control distractions and stay focused and keep a lot
    0:47:29 of information in mind at a given time.
    0:47:34 And those abilities tend to change throughout our lifetime, which is why they call it fluid.
    0:47:42 And that information is less tied to measures of memory, but people who are higher in fluid
    0:47:46 intelligence tend to do better on tests of memory.
    0:47:52 So this opens up a whole can of worms because like, why remember facts in a world where
    0:47:54 there’s LLMs and stuff?
    0:47:58 The fact is now so readily available.
    0:48:03 So what does intelligence mean going forward in a world of AI?
    0:48:06 I love to talk about AI almost.
    0:48:10 You’re going to have to call me back on the show to talk about this again because I could
    0:48:11 go on ad nausea.
    0:48:17 I mean, I hear all these engineers go on about how AI has reached a point LLMs are like human
    0:48:20 intelligence and blah, blah, blah.
    0:48:27 They learn in a way that requires gobs of data and tons of electrical power.
    0:48:33 So if you think about the carbon footprint of chat GPT, for instance, it’s huge estimates
    0:48:41 of the human brain suggests that we use maybe something on the order of 10 to 20 Watts orders
    0:48:43 of magnitude less, right?
    0:48:45 So our brains are designed for efficiency.
    0:48:47 It’s always less is more, less is more.
    0:48:51 And so my phone has a photographic memory.
    0:48:52 I don’t.
    0:48:55 I process the information that’s important.
    0:48:57 I process the information that’s meaningful.
    0:49:02 And I can deploy that information extraordinarily quickly.
    0:49:05 Chat GPT is trying to predict the next word.
    0:49:07 I’m trying to predict what’s your point.
    0:49:10 I’m trying to go to not the next word.
    0:49:12 I’m trying to think about what’s the end point here.
    0:49:15 Where are we going with this conversation?
    0:49:17 It’s a completely different ball game.
    0:49:22 And one of the things I’ve become interested in is people talk about, oh, generative AI
    0:49:29 is going to kill human creativity and who knows where things will go, but humans create
    0:49:34 from a weird array of lived experiences and interacting in the world.
    0:49:37 What I mean by that is you’ve actually surfed.
    0:49:39 Chat GPT hasn’t surfed, right?
    0:49:41 It’s like Charlie don’t serve.
    0:49:43 It’s a chat GPT hasn’t served.
    0:49:46 Your memory of surfing will be different.
    0:49:51 And if you were to incorporate that in a story, you can do so in a way that reflects
    0:49:53 your lived experience.
    0:49:58 Oh, my goodness.
    0:50:00 This was a fun interview.
    0:50:07 I love when you can ask an expert like Sharon really practical questions.
    0:50:13 And as you can tell, I’m very curious about memory and forgetting and schemas and schemes
    0:50:17 and chunking and taking notes.
    0:50:23 So I hope you enjoyed this episode of Remarkable People with Sharon Ranganath.
    0:50:28 I can even remember his name, Sharon Ranganath.
    0:50:36 And if you ever get an MRI, man, I feel for you because it is a very disturbing experience.
    0:50:41 And if this episode doesn’t help you that much, then if I were you, I would buy Apple
    0:50:48 Tags and don’t forget to set them up, attach them to your keys, your wallet, your laptop.
    0:50:55 I will even give you an official Guy Kawasaki power tip for Apple Tags, which is you go
    0:51:01 and buy what’s called adhesive patches for glucose monitoring.
    0:51:05 This is a little piece of adhesive that’s round and you can put your Apple Tag right
    0:51:07 in the middle of it.
    0:51:12 And it’s meant to stick things on your arm, but it’s great to stick on your laptop and
    0:51:16 in your wallet and on little things.
    0:51:19 That’s a power tip you get for listening to Remarkable People.
    0:51:23 You will not get that tip anyplace else in podcasting.
    0:51:25 I hope you enjoyed this episode.
    0:51:27 Like I said, I hope you learned something.
    0:51:31 And now it’s time to thank the Remarkable People team.
    0:51:38 And that would be Madison Nismar, producer and co-author of Think Remarkable.
    0:51:43 Do not forget to buy and read Think Remarkable.
    0:51:45 There will be a test later.
    0:51:49 And then there’s Tessa Nismar, our ACE researcher.
    0:51:54 There’s Shannon Hernandez and Jeff C., our sound design mavens.
    0:51:59 And then there’s Louise Magana, Alexis Nishimura and Fallon Yates.
    0:52:05 We are the Remarkable People team and we’re helping you make a difference and remember
    0:52:07 that you did.
    0:52:18 Until next time, mahalo and aloha.

    In this episode of Remarkable People, Guy Kawasaki sits down with Dr. Charan Ranganath, a distinguished professor of psychology and neuroscience at UC Davis and the director of the Dynamic Memory Lab. Charan shares his insights from over two decades of exploring the intricacies of human memory. He discusses his book, Why We Remember: Unlocking Memory’s Power To Hold Onto What Matters, which offers a remarkable perspective on memory, demystifying the common frustrations of forgetting and highlighting the critical role memory plays in our daily lives. Discover how our brains extract meaningful insights from our experiences to better navigate the present and prepare for the future, challenging the traditional understanding of memory.

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable. 

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People. 

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable. 

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology 

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  • Maureen Dunne: Unlocking the Power of Neurodivergent Talent

    AI transcript
    0:00:12 I’m Guy Kawasaki and this is Remarkable People.
    0:00:15 Today we have with us Maureen Dunn.
    0:00:21 She is a trailblazer in the field of neurodiversity and cognitive science.
    0:00:26 She was trained at Oxford as she has dedicated over two decades to helping organizations harness
    0:00:30 the power of neurodivergent talent.
    0:00:32 Maureen’s journey is an inspiring one.
    0:00:37 She was the first community college graduate to be named a Rhodes Scholar.
    0:00:43 And she has carved out an exceptional career as an advisor to corporations, universities,
    0:00:45 and government officials.
    0:00:50 This includes the Lego Foundation, Cornell University, and members of Congress.
    0:00:57 Her work has been featured in Forbes, Bloomberg, New York Times, and other prestigious publications.
    0:01:03 In her book The Neurodiversity Edge, Maureen presents a groundbreaking framework embracing
    0:01:06 the strengths of neurodiversion individuals.
    0:01:10 These are people with autism, ADHD, and dyslexia.
    0:01:16 Maureen’s mission is to challenge the status quo and break society’s neurotypical script.
    0:01:21 She wants to empower organizations to tap into the vast potential of neurodiversion talent.
    0:01:29 Join us as we learn about the neurodiversity edge and unlock a world of untapped possibilities.
    0:01:31 I’m Guy Kawasaki.
    0:01:36 This is Remarkable People, and now here is the remarkable Maureen Dunn.
    0:01:46 Let’s start with something very basic.
    0:01:50 Can you give us the definition of neurodiversity?
    0:01:59 If you go back to a little bit in history, it started as part of an autism rights movement
    0:02:04 back in the late 1990s.
    0:02:11 The term originated by a sociologist, an Australian sociologist named Judy Singer.
    0:02:18 And since then, it’s really evolved into a much broader global movement.
    0:02:24 And while it first started in acknowledging that there are different ways of thinking
    0:02:31 about autism and Asperger’s Syndrome, and the value that neurodivergent people bring
    0:02:39 to our communities, to our societies, to our companies, it’s now since evolved to encompass
    0:02:49 a pretty broad range of neurodiversion conditions, including ADHD, including dyslexia, synthesisia,
    0:02:55 hyperlexia, is a pretty broad range of individuals that fit under the neurodiversity umbrella.
    0:03:05 But I think the crux of how we are defining neurodiversity now is it’s really a paradigm
    0:03:15 shift from how we’ve been seeing things like autism and dyslexia and ADHD for many years,
    0:03:25 which has been a purely deficit-based perspective, and seeing the rich diversity of abilities
    0:03:34 and strengths and human cognitive abilities that come along with neurodiversity, and seeing
    0:03:41 it through this sort of strength-based lens and trying to get the world to understand
    0:03:47 the limitations of a purely what we would call a purely deficit-paced model.
    0:03:52 And of course, you’ve probably, I’m sure, really aware of there’s a pretty high overlap
    0:03:57 between successful entrepreneurs even and neurodivergent people.
    0:04:00 So there’s that sort of interesting link as well.
    0:04:06 If I were a venture capitalist, I would only invest in neurodiverse entrepreneurs, correct
    0:04:07 frankly.
    0:04:08 But that’s…
    0:04:09 Well, that’s amazing.
    0:04:14 Well, then, yeah, we’re definitely peeps here, because I think a lot of people need
    0:04:18 to appreciate and understand that most of…
    0:04:24 One thing I bring up in my book is there’s a disproportionate number of innovations throughout
    0:04:33 history that have been driven by neurodivergent innovators, and yet there’s such a large
    0:04:38 number of neurodivergent people that have been left out of our economy, and trying to
    0:04:45 reconcile that discrepancy, right, is something that I think we need to, on a moral and functional
    0:04:49 and economic level, be having more conversations about.
    0:04:55 Since we’ve already touched upon this kind of deficit orientation, let’s go the other
    0:04:56 extreme.
    0:05:06 And maybe just for ADHD, dyslexia, autism, and synesthesia, can you just briefly explain
    0:05:14 what they are and what are the possible positives of those kind of diagnosis?
    0:05:15 Sure.
    0:05:16 Absolutely.
    0:05:17 I think that’s really important.
    0:05:23 I think you see some of these conditions from a purely deficit-based perspective, and one
    0:05:29 thing I get in my book is just we’re still at an infancy understanding some of these
    0:05:34 conditions where there’s still a lot of cognitive biases, but there’s all these amazing strengths
    0:05:40 that are critical to the success of organizations, and especially where we’re going with the
    0:05:41 future of work.
    0:05:46 I believe it really, our collective future depends on having a lot of unique problem solvers,
    0:05:53 and we don’t want to have all members of a team be perceptually and cognitively correlated.
    0:05:58 We want people that are seeing things from different angles and pointing out new paths
    0:06:02 where we could be doing things differently, and that’s in the best interest of corporations.
    0:06:08 And so to drill that down a little bit further, if we focus on, say, ADHD, so I’ll give some
    0:06:14 examples from ADHD, autism, and dyslexia, and again, I want to really reinforce the
    0:06:18 point that there’s actually a lot more overlap and nuance than people realize.
    0:06:24 There are so many people, including myself, that don’t neatly fit into one box, and that’s
    0:06:29 sort of another conversation to have, which is, I think, super important.
    0:06:37 But for people, say, that are ADHD-ers, you could look at ADHD from this perspective like
    0:06:45 a very deficit-based lens where people are really impulsive and thinking about the aspects
    0:06:51 that are the challenges that go along with ADHD, but there’s also been a body of research
    0:06:59 that shows that ADHD-ers, because of the way their brains work, that there’s less boundaries
    0:07:04 around more conventional scripts or ways of doing things.
    0:07:08 And so there’s a number of studies, which you probably don’t have time to go into in
    0:07:14 detail today, but happy to elaborate later, where there’s less what we would call design
    0:07:21 fixation, where there’s a lot of creativity, there’s a lot of thinking that are outside
    0:07:27 the kind of standard boundaries that a lot of neurotypical people maybe end up intuitively
    0:07:29 sticking to.
    0:07:39 And one example is a study that Holly White had led, where they looked at ADHD college
    0:07:46 students, and it was a task related to trying to imagine and create different types of alien
    0:07:50 fruits that might exist on another planet.
    0:07:56 And so neurotypical people came up with some innovative ideas, but they’re much closer
    0:08:07 to more conventional existing ways of thinking about different fruits, and the ADHD-ers came
    0:08:13 up with just a different level of novelty with fruits that really don’t exist on our
    0:08:14 planet.
    0:08:20 So the idea there was that they weren’t as constrained by some of the boundaries of social
    0:08:27 scripts, or they have a sort of broader repertoire of material to draw upon.
    0:08:30 So that’s just one example.
    0:08:37 And then for autism, there’s a lot of extraordinary strengths that relate to detailed thinking,
    0:08:41 hyper-focused, which also sometimes overlaps with ADHD.
    0:08:49 But the type, again, I think a lot of the neurodivergent populations, there’s a tendency to solve
    0:08:54 problems in unique ways, because they’re coming at these solution pathways from different
    0:08:57 perceptual cognitive and analytical tendencies.
    0:09:02 And then itself, in my opinion, is extremely valuable, especially when you think about
    0:09:10 the future of work and where things are going with AI and a lot of automation is just having
    0:09:16 individuals that are at least part of the conversation included on teams that may notice a new path
    0:09:24 of exploration or innovation that other people may not notice because they’re coming from
    0:09:30 that is problem-solving from new angles, that that’s inherently valuable.
    0:09:32 And how about people with dyslexia?
    0:09:36 It’s absolutely, absolutely hugely important, I think.
    0:09:41 And I’m sure you’re quite aware of Richard Branson’s been a huge advocate for dyslexia
    0:09:48 and has been very vocal about how his way of thinking, as in his opinion, been absolutely
    0:09:52 essential to his success as an entrepreneur.
    0:09:57 And there’s been a growing body research with dyslexic thinking of how there’s a lot of
    0:10:04 alignment with the kinds of skills that are predicted to be critical in the future with
    0:10:09 being able to connect dots between different fields.
    0:10:17 I think a lot of neurodivergent conditions end up overlapping with what I would call nonlinear
    0:10:20 thinking and intuitive leaps of logic.
    0:10:24 I think that type of thinking is going to personally in my personal view is that’s going
    0:10:30 to become increasingly more important, especially as automation starts to become more prevalent
    0:10:37 in our society and in companies where a lot of the generative AI solutions still are chained
    0:10:43 into a lot of very impressive processing speed, but still extremely linear tasks that are
    0:10:45 being taken over.
    0:10:50 And I think there’s this whole other domain of thinking where neurodivergent people and
    0:10:58 neurotypical people could really work well together to cover some of the more human aspects
    0:11:05 or what I would call the limitations of AI that overlap with these intuitive leaps of
    0:11:14 logic and an insight and the nonlinear domain of thinking that is really difficult to replicate
    0:11:18 from with current the current AI paradigm.
    0:11:25 How about you burst the bubble that many people seems to me think that there is a relationship
    0:11:30 between neurodiversity and intelligence.
    0:11:37 And I’m focusing on the negative assumption that these neurodiverse people, they’re not
    0:11:38 intelligent.
    0:11:41 Does one thing have anything to do with the other?
    0:11:46 I’m glad you brought that up because that’s something that I think has been an inaccurate
    0:11:54 way of thinking about this, whereas the degree of neurodivergence and intelligence, there
    0:11:56 really isn’t overlap.
    0:12:03 A lot of people hear of someone who is autistic or an ADHD or dyslexic and they make false
    0:12:09 assumptions about that person’s capabilities or intelligence and it’s really a separate
    0:12:10 thing.
    0:12:12 Neurodiverse and people are just people like anyone else, right?
    0:12:18 They have strengths and weaknesses, they tend to have more spiky profiles from when compared
    0:12:25 to neurotypical people, but there should be no judgment about abilities and intelligence.
    0:12:32 So an autistic person, for instance, is just a huge, huge range in terms of a spectrum
    0:12:38 of abilities and challenges and just like anyone else, we’re just people and there’s
    0:12:42 some people that are extremely intellectually gifted and there’s other people that have
    0:12:49 intellectual disabilities, but there should be no presumption about what someone can and
    0:12:50 can’t do.
    0:12:55 And so in something I really feel passionate about that I’ve got into detail in my book
    0:13:01 as being a cognitive scientist, of course too, is like trying to educate people about
    0:13:08 some of these unconscious biases that really, I think, get in the way of giving people fair
    0:13:13 opportunities and I guess I’m trying to spread the message of if we can all just become more
    0:13:20 aware of these unconscious biases, we could go in the direction of having just a more
    0:13:26 productive and functional world and I even call some species of unconscious biases, I
    0:13:31 call them invisible cockroaches, they’re very difficult to become aware of and very difficult
    0:13:37 to get a grasp of what you do about them, but two really big examples is there’s one
    0:13:43 is called the overconfidence effect and that’s a really common one and I’ve seen it in practice
    0:13:49 even with large corporations where I was brought in to consult on a multi-billion dollar
    0:13:56 brand where that played out where there was marketing ad focused on autistic people and
    0:14:00 they didn’t include anyone in the community that had lived experience and there was this
    0:14:07 sort of, I guess, the overconfidence that hey, this is a global award-winning marketing
    0:14:12 team so like they felt like they really knew what they were doing, but they ended up releasing
    0:14:17 an ad that was actually ended up being extremely offensive and then I was brought in to kind
    0:14:23 of do some damage control and so I think what companies need to understand, this is a growing
    0:14:29 market segment for them, it’s actually a really huge proportion of our global population
    0:14:37 and we’re talking about at minimum 15 to 20% of the global population that identify as
    0:14:42 neurodivergent and it’s important to get this right and then even the younger generations
    0:14:46 like Generation C, for instance, there’s been some surveys including one from Zen Business
    0:14:57 where over 50% of Gen Z identify as being part of the neurodiversity umbrella, I think
    0:15:04 it was like 31% so that they identify as definitely being neurodivergent and like 20%, somewhat
    0:15:05 neurodivergent.
    0:15:09 Of course, there’s some complexities there of identification versus diagnosis, but still
    0:15:17 it says a lot that this is an important topic for all companies I think are going to need
    0:15:23 to really take this more seriously because it’s just becoming increasingly important
    0:15:29 and then there’s also a kind of bias called the availability bias which I think really
    0:15:37 was an important one to become aware of because it’s the bias where we all tend to default
    0:15:47 to the information that we most readily have available in our mental repertoire or experience
    0:15:52 and sometimes that unfortunately ends up reinforcing stereotypes and so I think like the goal is
    0:16:00 like to try to make front and center people that actually really don’t fit into the traditional
    0:16:06 stereotypes because I think that’s been a huge barrier where especially with women because
    0:16:14 I think a lot of the initial data and diagnostic tools were based on Caucasian boys and then
    0:16:18 the way in which some of these conditions manifests in women are actually pretty different
    0:16:23 and so there’s been so many women that have not been getting the support they need or
    0:16:28 been flying under the radar and so I think just becoming more aware and I think their
    0:16:35 strategies to become better at this at minimum like questioning yourself, “Hey, okay, did
    0:16:41 two or three people I met that were ADHD or autistic or dyslexic?”
    0:16:46 That’s not necessarily representative of the community as a whole and becoming more aware
    0:16:47 of that.
    0:16:54 There’s this really rich chapistry of ways in which neurodiversity manifests itself and
    0:17:00 part of my book I really try hard to bring up some interesting examples and drawings
    0:17:06 and my hope is to like get people to really appreciate and have a broader understanding
    0:17:14 of neurodiversity and have a genuine appreciation and empathy for the gifts that come along
    0:17:23 with neurodiversity and just get outside these sort of, I don’t know, more very narrow understandings
    0:17:32 of these different typologies that maybe are causing barriers for many people that don’t
    0:17:47 necessarily fit one box or another extremely well but nevertheless identify as neurodivergent.
    0:17:56 You touched upon this briefly but it seems that until this perfect world where neurodiversity
    0:18:06 is accepted if not celebrated, it seems that diagnosis is very important and I want you
    0:18:15 to explain to me how people become diagnosed with these neurodivergent kind of conditions
    0:18:22 and I think in regular life you go to somebody’s house and that his or her bookshelf, all the
    0:18:27 red books are together, all the white books are together, all the green books are together
    0:18:33 and you make this like instant diagnosis, “Oh, this person must be OCD.”
    0:18:38 So exactly how should diagnosis be done?
    0:18:45 Yeah, it’s a great question and one thing I think a lot about is I feel like even though
    0:18:49 we’ve made so much progress like in the cognitive brain sciences, I still feel like we’re at
    0:18:55 the infancy in some of that because so many of the diagnostic instruments are still somewhat
    0:18:56 subjective.
    0:19:03 There’s observational options but if you go way back, especially for autism for instance,
    0:19:09 there’s been a bias towards white Caucasian boys that a lot of the research has initially
    0:19:15 done, I think it’s been improving over time but what I would want to answer in your question
    0:19:24 I would want to really focus on is that I feel like there’s so much more nuance and complexity
    0:19:30 and overlap between even typologies where there’s a lot of people that are searching
    0:19:36 for their sort of tribe sort of speak and they don’t necessarily fit neatly into one
    0:19:42 category of another even if they’ve been diagnosed with one or more typologies and I feel we
    0:19:46 might be in a really different place say 10 years from now where there’s an explanation
    0:19:52 for people even like me that never fit into one diagnostic category really well and maybe
    0:19:58 that’s too long of a conversation for this episode but there’s a lot more overlap of
    0:20:07 different interesting you know talents and ways of thinking that go beyond one diagnostic
    0:20:14 category and so there’s a lot of overlap with like conceptual synthesisia and hyperlexia
    0:20:20 and there’s a lot more especially women for instance where they don’t fit really neatly
    0:20:27 into an autism diagnosis or any DHG diagnosis at the extremes but that there’s sometimes
    0:20:34 being diagnosed with both but there’s true skill sets are best represented at the intersections
    0:20:41 of some of these different typologies and I feel like our science is not quite there
    0:20:47 to best understand some of these nuances and complexities and you know I’m hoping we get
    0:20:52 there over over time but there there’s increasingly of a lot of people that are being diagnosed
    0:20:59 with one or more typologies and they don’t necessarily perfectly fit into one or the
    0:21:04 other and they’re best explained by like the ways in which there’s synergies or interactions
    0:21:11 between these different typologies so let’s pretend that parents actually we don’t have
    0:21:20 to pretend this is true so parents are listening to this and they say oh my kid is always sitting
    0:21:26 in the corner of the kindergarten classroom he’s not socializing he’s not relating do
    0:21:35 you think he’s autistic or my kid is a very slow reader maybe he has ADHD but how do you
    0:21:42 know when it’s a real thing versus maybe it’s just a teenage boy who’s bored with your curriculum
    0:21:48 and that’s why he can’t focus it’s not him it’s you it’s your curriculum like how do
    0:21:54 you decide what’s going on it’s a great question and it’s one of the reasons why I’m a really
    0:22:02 strong advocate for what I would call universal design where we move in this direction where
    0:22:09 we design neuro inclusive environments where even regardless of diagnosis like we’re moving
    0:22:15 this direction where everybody can just be more productive and it’s not necessarily by
    0:22:21 diagnosis as much as whatever support needs people have that there is no shame if you
    0:22:27 need to use noise canceling headphones or there’s more sensory friendly environments
    0:22:32 I think that’s where I think even companies will get the most out of all their employees
    0:22:39 but yeah but from a parent perspective I think there’s still a lot of progress that needs
    0:22:44 to be made in the schools there’s still usually a structure depending on what school we’re
    0:22:50 talking about some are more rigid than others in terms of where there needs to be that sort
    0:22:57 of okay which box are what are the exact needs this child needs and what box does someone
    0:23:03 someone fit into and generally what I’ve seen is that there’s you know not an issue with
    0:23:10 maybe a child that that is diagnosed as say ADHD but that doesn’t explain the full story
    0:23:18 and part of what I do then is try to be an advocate to and use my expertise to create
    0:23:25 a more nuanced plan and attend some of the IEP’s and every child’s different so just
    0:23:32 advocating for what’s really going to work for that particular child and sometimes the
    0:23:37 diagnostic process is imperfect I would say too we’re still an infancy I think in this
    0:23:44 field where so much of what’s happening is still somewhat subjective and it’s helpful
    0:23:50 as a starting point to get the resources that and support that’s needed but I suspect that
    0:23:55 if I had to imagine like where things might be even 10 years from now I think we might
    0:24:01 have just much more explanations for people that don’t as neatly fit into one box or another
    0:24:07 or there’s overlap and the complexity is there is I think that there’s like these stereotypes
    0:24:12 and to me that and that’s something I get in my book a lot is just I think one of the
    0:24:18 difficulties is to combat these cognitive biases and stereotypes where people tend to
    0:24:23 is just how our brains work we tend to desire these mental shortcuts and the one or two
    0:24:32 people we each might have met that are autistic or ADHD or you know I’ve seen in the movies
    0:24:37 then when we’re going through a hiring process like that ends up unfortunately factoring
    0:24:43 into some of these decisions and so a lot of what I do is trying to get people to be
    0:24:49 aware of the dangers of that and just how incredibly rich the neurodiversity community
    0:24:55 on it really is and the amazing skill sets that come along with neurodiversity and the
    0:25:03 importance of thinking through in my opinion all companies should be planning for the future
    0:25:08 and future-proofing the organizations not just from the perspective of integrating technology
    0:25:13 and AI but taking it really seriously and thinking about the human resources perspective
    0:25:19 to and how do you recruit unique talent and how do you recruit talent that are thinking
    0:25:24 along lines that are going to be operating out as outside of these sort of conceptual
    0:25:32 maps that AI are going to be by far more proficient right in human beings and yeah and how we
    0:25:40 can all work together right a couple minutes ago you use the term IEP what is an IEP yeah
    0:25:46 it’s an individual education plan so so all you know by law by law all students are required
    0:25:53 to what we would call a free and appropriate education the idea there is is is that being
    0:26:01 a more inclusive environment as far as I could tell I did not notice one word in your book
    0:26:10 about treatment or drugs or concerta or at all or anything like this are you basically
    0:26:17 saying we should accept neurodiversity and not try to fix people but rather accommodate
    0:26:23 people’s special needs is there a place for quote unquote treatment and drugs it’s great
    0:26:30 it’s a great question like yeah I just to clarify I think this is an important point
    0:26:41 is that I’m not saying in any way that accommodations again there’s this huge spectrum of strengths
    0:26:46 and challenges within the neurodiversity community and I think it’s important to you know it’s
    0:26:52 always a case by case basis and there’s each individual is going to be different and I’m
    0:26:58 not in any way saying that those supports aren’t important I do think that they absolutely
    0:27:04 are and then there’s also just laws right that protect people that have disabilities
    0:27:11 and you know making sure that appropriate education and supports are being met but I
    0:27:16 think that what I tried to focus on in my book and then there’s more tools on the online
    0:27:22 version that get into some more specifics and how to go about that but what I try to focus
    0:27:29 on is what I believe just from my 20 plus years of working in this space is that that’s
    0:27:34 the support needs and there’s varying support needs but that’s absolutely important so I’m
    0:27:39 not in any way dismissing that but I think that even within that it’s really important
    0:27:45 that there’s this like cultural shift and paradigm shift where we don’t by default
    0:27:54 see neurodivergent profiles as being not as valuable as neurotypical profiles and
    0:27:59 throughout history too I mean there’s been so many of our innovators so many entrepreneurs
    0:28:06 as I am sure you know as well whether they’re disclosing or not certainly fit a neurodivergent
    0:28:12 profile and there has been a disproportionate number of innovations that have come from
    0:28:18 the neurodiversity community and yet there’s been also a disproportionate number of neurodivergent
    0:28:22 people that have been completely left out of the economy with this just ridiculously high
    0:28:29 unemployment rate and so I try to bring up just that discrepancy in how can we as a society
    0:28:37 go about trying to welcome and integrate and authentically include people that have some
    0:28:45 pretty really amazing skill sets that haven’t been tapped into and so there’s varying support
    0:28:51 needs and so I’m not in any way shape or form dismissing that I think that’s certainly part
    0:28:55 of this it’s part of this equation but I think it’s one of the challenges is that we need
    0:29:01 to acknowledge that there is a really broad range like I say that the consistency is that
    0:29:07 most neurodivergent people have what we call Spike Lee profiles where there’s in some cases
    0:29:15 more extreme talents and abilities and then more challenges as well but I believe personally
    0:29:21 that if we take a strength based perspective regardless of where people fit in the neurodiversity
    0:29:29 umbrella that I think that still goes a long way to helping people actualize their full
    0:29:34 potential and self potential and some people will need more support than others listen
    0:29:41 I realize what I’m going to talk about next is on the fringe of paranoia but I’m just
    0:29:48 so curious about what you’d say because much of your book is about accepting people for
    0:29:54 who they are and what they are and looking at people’s you know what they bring to the
    0:30:01 party as opposed to what they be missing according to your personal specifications now it seems
    0:30:08 to me that right now in America there’s a large number of politicians who they just
    0:30:18 cannot accept LGBTQ plus black and brown people etc etc basically diverse people aren’t you
    0:30:25 afraid that they’re coming for the neurodiverse people to it’s not going to be just your race
    0:30:31 your color your creed your religion your sexual orientation pretty soon they’re going to try
    0:30:38 to do away with neurodiversity sure that’s I mean and I know I know if you’ve noticed
    0:30:45 I’m on the side I’m an elected official myself I don’t know if you you saw that I mean I’m
    0:30:51 I’m a trustee at a community college at the community college I got my started at I graduate
    0:30:57 high school early and then I’ve been involved in the state national levels in elected positions
    0:31:05 and so I’ve been forced into this arena and no more about it than I intended to I suppose
    0:31:10 and yeah the country is pretty polarized when we get into a lot of issues around especially
    0:31:16 around DEI and I guess from my perspective is I’m so passionate about the space that
    0:31:22 I’m just going to keep trying to influence as many people as I can and I know it’s a
    0:31:28 really difficult environment politically for that because of all the DEI stuff but
    0:31:32 then neurodiversity is an interesting thing because it affects everyone it’s not just
    0:31:39 so long political lines it’s not just like every every race every ethnicity it’s something
    0:31:45 that has touched I think everyone as well so there’s that common ground but I do think
    0:31:52 that it’s something that I certainly think about a lot and it becomes I think that much
    0:31:58 more important that there’s people in the community you know neurodivergent people
    0:32:03 that are in leadership positions that are very visible they’re at least at the table
    0:32:10 having a voice right in some of these conversations I think that’s absolutely critical and also
    0:32:15 I would take it as far as to say that it’s not just about the DEI paradigm but it’s
    0:32:22 also there’s a lot of unique ways of thinking or seeing things from different angles you
    0:32:27 know within the neurodiversity community where maybe even in our political institutions
    0:32:35 where there’s been a lot of inertia or innovation stagnation due to groupthink and some of the
    0:32:41 social dynamics that come into play of course in that arena and just even including one
    0:32:48 or two neurodivergent people into the equation in my opinion just could change the structure
    0:32:53 some of the conversations we’re having and start thinking along the lines of okay maybe
    0:32:58 there’s other avenues we haven’t thought about before because I just find a lot of neurodivergent
    0:33:05 people they’re not quite as bound to the same social scripts or boundaries that a lot of
    0:33:12 people intuitively feel they have to stick within and I just think that’s a healthy part
    0:33:18 of a healthy and necessary part of our democracy especially considering where we’re at right
    0:33:24 at this like current point in our history I think it’s so important that we have problem
    0:33:30 solvers involved in these conversations that are maybe less concerned about social status
    0:33:36 and and able to talk about some of the problems that we’re experiencing from like a more pure
    0:33:43 rational how do we solve these problems and it’s not easy to do because of all the cognitive
    0:33:49 biases but I do think that our world would be a more functional place and just a better
    0:33:56 place for everyone if we can welcome neurodiversity into all these important conversations.
    0:34:07 I’ll tell you a little personal story my son was diagnosed professionally not just us amateurs
    0:34:18 with both ADHD and dyslexia and this dyslexia association came to his school for parents
    0:34:25 night and they set up these exercises where you use mirrors on text and stuff and they
    0:34:31 were trying to make you understand that you read this paragraph of text you can just linearly
    0:34:39 read and using these mirrors and other optical things it shows you what a dyslexic sees and
    0:34:45 I gotta tell you Maureen I was brought to tears that you try to tell your son or your
    0:34:51 daughter focus more you know try harder and then you go and you do an exercise like that
    0:34:57 and you see that it’s not a matter of trying harder or focusing it’s just completely different
    0:35:03 it was a shock to me it literally brought me to tears that’s really fascinating yeah
    0:35:09 and I think part of my motivation to with my book I’m hoping anyway to open the eyes
    0:35:14 especially leaders and people and just decision making positions where maybe it challenges
    0:35:21 some other assumptions there’s sometimes like entirely different ways of thinking about
    0:35:30 things and problem solving and these a lot of people are used to living comfortably very
    0:35:36 much outside of the box of how things are currently done and I think to really reap
    0:35:45 the value of that I think we as a culture have to be more tolerant and open-minded to
    0:35:52 understanding that maybe we don’t understand everything and maybe there is better ways to
    0:35:58 go about doing things or at least be open-minded to have these conversations and I also think
    0:36:04 from what I found in the companies I’ve worked with and the experiences I’ve had across
    0:36:11 organizations and government institutions and political institutions and social enterprises
    0:36:19 is just I think that just when we can engage in what I would call complementary cognition
    0:36:26 where we really can embrace all kinds of minds and work collaboratively and there be that
    0:36:32 complementary where not everyone has to be the same I think that’s where I think we’re
    0:36:38 going to make the most progress and but it is a very different way of thinking I think
    0:36:47 in that regard step number one is to separate intelligence from diversity because I bet you
    0:36:53 a lot of people see diversity and think lack of intelligence and then they say to themselves
    0:37:01 why would we bring in people who are not intelligent into this cognition system and there goes
    0:37:07 that absolutely and that’s just a complete misunderstanding of neurodiversity and it’s
    0:37:13 one of the things they bring up in in the introduction of my book is to say intelligence
    0:37:19 or assumptions about what you know one can and cannot do and capabilities is completely
    0:37:24 independent of a neurodivergent profile and I’m sure you’ve know been given your background
    0:37:30 and being in Silicon Valley as long as you have there’s a lot of really super successful
    0:37:36 entrepreneurs that are neurodivergent but I think that one of my goals is to try to
    0:37:42 make some of these concepts and ideas more mainstream because I still think there is
    0:37:49 a large percent percentage of the world that doesn’t quite understand that you can have
    0:37:56 a neurodivergent profile and being extremely gifted and that’s not that uncommon you could
    0:38:02 be autistic for instance and be extremely intellectually gifted or you could have an
    0:38:08 intellectual disability a lot of people don’t quite understand the nuance of that.
    0:38:16 But Maureen being in Silicon Valley I would urge you to be a little cautious there because
    0:38:26 you don’t want the thinking to be my son my daughter has these neurodivergence characteristics
    0:38:32 therefore he or she is the next Steve Jobs because that’s setting them up for failure
    0:38:38 too right you know you can be neurodivergent and live a good life you don’t have to be
    0:38:44 Steve Jobs to to make up for your diversity or absolutely absolutely and I think it’s
    0:38:51 communicating that wherever someone falls on the neurodivergent spectrum is every human
    0:39:00 being deserves to be valued and treated with a sense of dignity but also sending the message
    0:39:06 of that some of these stereotypes that have been harmful in the past are also inactive
    0:39:14 where it is possible for someone to be ADHD or dyslexia or ADHD and it’s pretty common
    0:39:20 in entrepreneurship circles there’s not necessarily an intellectual disability like getting that
    0:39:26 across but at the same time truly appreciating the full spectrum of neurodiversity and the
    0:39:30 richness diversity that comes along with that and that everyone deserves to be treated with
    0:39:33 dignity and to find a meaningful job.
    0:39:40 Don’t get me wrong we have used the example of Richard Branson and once Henry Winkler
    0:39:46 came to speak to my son’s school so we’ve used those kinds of examples to show you
    0:39:52 know what you’re not a loser because you’re neurodiverse there’s people like Richard Branson
    0:40:00 who have succeeded but that’s different than saying you’ve got to be a Richard Branson.
    0:40:07 You’re absolutely absolutely and I think how I think about this is it is more of just trying
    0:40:16 to help people come terms with just having a strategy to rather than focus only on their
    0:40:21 deficits which is how many people have been trained to think about their neurodiversity
    0:40:28 all their whole life is to just focus more on what am I good at it doesn’t mean I’m
    0:40:33 going to be a Steve Jobs it doesn’t mean I’m going to be Richard Branson there shouldn’t
    0:40:40 be that expectation but I think everybody benefits from having a more holistic view
    0:40:45 of themselves to say okay you know what I’m just like any other person I’ve got strengths
    0:40:50 and weaknesses maybe my profile is a little bit more spiky and there’s good you know there’s
    0:40:56 some good to that and there’s some challenges to that but just having a really honest examination
    0:41:02 of what where those strengths and challenges are and I feel like I fear that sometimes
    0:41:09 the negatives and the challenges and the deficits get so much attention that then people don’t
    0:41:15 ever learn to leverage their strengths to have the life that they want and have a meaningful
    0:41:20 career but I agree with you it’s important to like be careful not to send that message
    0:41:25 of okay your nerd version so that means you should be in Silicon Valley and you should
    0:41:30 be like this I don’t know you’re the next Steve Jobs no so I’m not saying that I think
    0:41:36 it’s more of just there’s such a large unemployment rates hey there’s more we could be doing there
    0:41:43 to just tap into these amazing talents that so many people that are just not actualizing
    0:41:48 their self potential and should be and could be really contributing at a different level
    0:41:55 up next on remarkable people I think there’s more opportunity than maybe ever before where
    0:42:00 that cognitive diversity is really a competitive edge I think to corporations and so getting
    0:42:06 parents and advocates and employers to see that perspective I think is crucial and then
    0:42:12 helping to increasingly develop those opportunity pathways to make that happen I think is going
    0:42:22 to be a game changer thank you to all our regular podcast listeners it’s our pleasure
    0:42:28 and honor to make the show for you if you find our show valuable please do us a favor
    0:42:34 and subscribe rate and review it even better forward it to a friend a big mahalo to you
    0:42:43 for doing this you’re listening to remarkable people with guy Kawasaki explain to us how
    0:42:53 we can decipher whether diverse neural diverse inclusion is authentic or inauthentic in
    0:42:58 an organization that’s a great question so in my research one of the things I’ve found
    0:43:04 over many years is that there’s certainly more attention on neurodiversity right then
    0:43:10 there was in the past and there’s a lot of good progress that has been made but sometimes
    0:43:16 unfortunately there’s been more attention than there should be on this what I would
    0:43:23 call check the box approaches where okay we can now advertise we have X number of neurodivergent
    0:43:29 people that we’ve hired and that doesn’t really move the needle in terms of creating the kind
    0:43:35 of neurodivergent friendly cultures at a deeper level where those organizations are
    0:43:43 actually going to really truly benefit from the talents than many neurodivergent people
    0:43:47 bring to the table and so I talk in my book a lot about I actually have a pyramid I call
    0:43:53 a pyramid of neuro inclusion where I put psychological safety and transparent communication
    0:43:59 at the sort of base layer because I’ve worked with organizations where they’re actually doing
    0:44:05 seem to be doing some great work with instituting sensory friendly policies and flexible working
    0:44:11 policies and doing some good things but if they’re still bullying going on if there’s
    0:44:16 still if there’s not really integrity in terms of like how they’re codifying policies and
    0:44:22 then what’s happening on an everyday basis is still not going to be the kind of organizational
    0:44:29 culture where I think anyone can do their best most productive work and certainly neurodivergent
    0:44:34 people you’re not going to get the most out of neurodivergent people and been focused
    0:44:42 on that paradigm and the importance of doing the deeper work at a sort of DNA level of
    0:44:47 change where I think going through that process where all organizations are really going to
    0:44:55 have a competitive edge going into the future and also really be able to leverage the unique
    0:45:02 talents and strengths of neurodivergent people as well but also create a culture where everybody
    0:45:09 is going to be happier and more productive and not working in the mailroom with a master’s
    0:45:16 degree as your book absolutely which yeah there’s unfortunately far too many examples
    0:45:24 of that right yeah so if I’m a parent listening to this or I’m a person with neurodiversity
    0:45:31 just summarize for me what should be my perspective what should be my best practices what should
    0:45:40 I do to live a fulfilling life as a parent as a parent or a person yeah just my experience
    0:45:44 because I’ve also been heavily involved in higher ed and creating these neurodiversity
    0:45:51 friendly opportunity pathways leading into meaningful work which so starting earlier
    0:45:57 I think so also incredibly important but I would say that as a parent I think it’s really
    0:46:07 important to support your child in better understanding and supporting a process going
    0:46:17 through where’s my child going to best able to belong whether it’s college or a internship
    0:46:22 and a lot of things in my experience a lot of things go to go together so a lot of college
    0:46:29 students end up doing paid internships and the goal the ultimate goal is to develop a
    0:46:37 portfolio of skills and learn how to navigate what can be tricky because given the biases
    0:46:43 in that of where’s that first job that’s going to be really a good fit that’s a meaningful
    0:46:49 career opportunity and then what one of the things I’ve been working on is I have a program
    0:46:56 where we have a support team that continues to support students as they graduate from
    0:47:03 college or a certificate program or apprenticeship and help them through like those paid internships
    0:47:09 and first jobs and developing these portfolio of skillsets to show employers but I think
    0:47:14 a lot of parents are just nervous about will their child ever become independent how they
    0:47:22 can help support their child to be able to navigate the complexities of the current world
    0:47:31 and showcase the amazing talents that so many of these young people display maybe historically
    0:47:36 haven’t been fully appreciated and I’m hoping just given where things are going in the future
    0:47:42 with the future work and AI that there’s I think a lot of gifts and talents that actually
    0:47:50 really complement even AI and working alongside neurotypical employees I think there’s more
    0:47:56 opportunity than maybe ever before where that cognitive diversity is really a competitive
    0:48:02 edge I think to corporations and so getting parents and advocates and employers to see
    0:48:08 that perspective I think is crucial and then helping to increasingly develop those opportunity
    0:48:14 pathways to make that happen I think is going to be a game changer it seems to me that more
    0:48:22 or less all LLMs are being created by people who lack neurodiversity so do you think a
    0:48:31 case can be made that we should purposely create the equivalent of neurodiverse LLMs
    0:48:38 who just see the world differently in order to optimize AI personally yeah absolutely
    0:48:43 because I think that neurodivergent people in that this is a process I’ve called in the
    0:48:49 past neurodiversification where I think that if you don’t involve people coming from different
    0:48:55 perceptual analytical perspectives that there’s always going to be some blind spots and I think
    0:49:05 it’s crucial to include right people who are uncorrelated to neurotypical teams and also
    0:49:10 something I argue a lot in the book is and this isn’t just neurodivergent people but
    0:49:18 there there is evidence of a disproportionate level of ability in correlation with different
    0:49:25 types of neurodivergent cognition where there’s strong nonlinear skill sets or lateral thinking
    0:49:31 and being a cognitive scientist myself I think that there’s ways of thinking and spotting
    0:49:38 some blind spots that I do believe neurodivergent people might have an easier time identifying
    0:49:45 and some of the limitations of AI given that the current AI paradigm anyway is limited
    0:49:54 to a conceptual map that by and large is focused on linear tasks and is just not really capable
    0:49:59 of getting into things outside of that conceptual map but I think a lot of neurodivergent people
    0:50:03 are very good at that these intuitive leaps of logic and some of the examples like in
    0:50:09 my book is I’ve known I’ve done case studies and known people like where they’re connecting
    0:50:15 more sensory experiences that they experienced at a friend’s funeral to an experience with
    0:50:25 studying different types of flowers and somehow all these not very logical seeming data points
    0:50:32 end up combining in this way that AI is not really well trained for that arrives at this
    0:50:38 sort of like original solution for how to solve a problem at work and so I think to
    0:50:44 me anyway I think it’s actually incredibly important to be including cognitive diversity
    0:50:49 and people that are coming from some of these problems from different angles and yeah and
    0:50:54 I think it may uncover some of the blind spots even in product development and design that
    0:51:03 other people might not be thinking of thank you Marine for explaining so much about neurodiversity
    0:51:09 and helping us to appreciate the special skills and strengths that neurodivergent people
    0:51:16 have I’m guy Kawasaki this is remarkable people we’re in a mission to make you remarkable
    0:51:23 and the team that’s on this mission includes Jeff C and Shannon Hernandez and sound design
    0:51:29 Matt is a Nismar who is the producer and also the co-author of think remarkable and then
    0:51:35 there’s Tessa Nismar who does all our great research and Alexis Nishimura Fallon Yates
    0:51:42 and Luis Magana we are the remarkable people team and we are trying to help you make a
    0:51:52 difference and be remarkable until next time Mahalo and Aloha
    0:51:54 this is remarkable people

    In this episode of Remarkable People, Guy Kawasaki sits down with Maureen Dunne, a trailblazer in the field of neurodiversity and cognitive science. Maureen shares her inspiring journey as the first community college graduate to become a Rhodes Scholar and her dedication to helping organizations harness the power of neurodivergent talent. She discusses her groundbreaking book, The Neurodiversity Edge, which presents a framework for embracing the strengths of individuals with autism, ADHD, and dyslexia. Discover how Maureen is challenging the status quo and empowering organizations to tap into the vast potential of neurodivergent talent, ultimately creating a more inclusive and innovative future.

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable. 

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People. 

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable. 

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology 

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  • Jo Boaler: Empowering Students Through Innovative Math Education

    AI transcript
    0:00:12 I’m Guy Kawasaki and this is Remarkable People.
    0:00:15 We’re on a mission to make you remarkable.
    0:00:18 Helping me in today’s episode is Joel Bowler.
    0:00:22 She is a professor of education at Stanford University.
    0:00:28 She joins a handful of people who have been on Remarkable People more than once.
    0:00:34 She began her career as a secondary mathematics teacher in urban London schools including
    0:00:37 Haverstock School in Camden.
    0:00:42 After teaching, Bowler received a master’s degree in mathematics education from King’s
    0:00:43 College London.
    0:00:49 She then completed her PhD in mathematics education at the same university and won the
    0:00:57 award for best PhD in education from the British Educational Research Association in 1997.
    0:01:03 Prior to her role at Stanford, Bowler served as the Marie Curry Professor of Mathematics
    0:01:05 Education in England.
    0:01:12 She co-founded U-Cubed, an organization dedicated to providing resources and ideas to inspire
    0:01:15 and excite students about mathematics.
    0:01:20 Bowler has received several honors including the National Science Foundation Early Career
    0:01:30 Award, the NCSM K. Gilliland Equity Award in 2014, and the CMC Walter Denham Mathematics
    0:01:33 Leadership Award in 2015.
    0:01:37 She has authored 19 books and numerous research articles.
    0:01:44 Her latest book is called Mathish, Finding Creativity, Diversity and Meaning in Mathematics.
    0:01:50 In this book, she shares research on embracing a diverse approach to learning math and providing
    0:01:55 seven principles to reframe our relationship with the subject.
    0:01:59 All of what you just heard is a typical, remarkable people introduction.
    0:02:05 It’s a long story and it would take a lot to explain what happened and it would also
    0:02:09 take a lot of research to get both sides of the story.
    0:02:15 But suffice it to say that Joe Bowler was attacked by Tucker Carlson and Elon Musk.
    0:02:18 That should tell you something.
    0:02:19 I’m Guy Kawasaki.
    0:02:31 This is Remarkable People and now here is the remarkable Joe Bowler.
    0:02:37 I was prepping for this interview and I was reading your book and I came to this sample
    0:02:43 question where you said, “How many squares are in this 8-byte?”
    0:02:47 And you said the answer is not 64.
    0:02:53 So that kind of stopped my preparation because I was saying, “How can there not be 64 squares?”
    0:02:58 And then I thought maybe she says, “If you look at it, you could have 2-byte 2-squares,
    0:03:03 3-byte 3-squares, 4-byte 4-squares that could be in different parts of the 8-byte 8″.
    0:03:05 So what is the answer to that?
    0:03:12 In fact, I even went to LLM and I asked, “How many squares are in an 8-byte 8 chessboard?”
    0:03:17 And it said 64, so why is the answer not 64?
    0:03:23 Well, you’re exactly right that if we look at an 8-byte 8 chessboard, there are the 64
    0:03:28 1-byte 1-squares, but then there are the 2-byte 2-squares and the 3-byte 3-squares and the
    0:03:29 4-byte 4-squares.
    0:03:34 It’s actually a great activity that we give to students and ask them because they can
    0:03:35 look for patterns.
    0:03:41 It’s a nice example of a mathematical investigation where it would help you to start with a smaller
    0:03:47 board and that’s one of the things we hope kids learn from it, that taking a smaller
    0:03:52 case is really valuable when you’re working on a difficult problem.
    0:03:56 So if you start with a 2-byte 2-board, it’s easier to see the number of squares inside
    0:04:01 it and then a 3-byte 3-square and you start to see the pattern, which is what it’s all
    0:04:03 about for us.
    0:04:05 So I passed a test.
    0:04:08 Yes, you did.
    0:04:10 We can end this recording right now.
    0:04:11 Yes.
    0:04:19 Can we go someplace, just a temporary diversion here that you can tell me, no, you don’t want
    0:04:25 to do this, but I got to ask you about this whole Tucker Carlson thing.
    0:04:28 What the hell happened there?
    0:04:31 What happened and it’s still happening, unfortunately.
    0:04:37 What that was, was I was asked by the state of California to be one of the writers of
    0:04:40 a new mathematics framework.
    0:04:44 There were five writers, but the ideas of the framework came from an elected committee
    0:04:53 of 20 leaders and focus groups met across the state, the committee met, the writers wrote
    0:05:01 up their ideas and people decided they wanted to stop the ideas of the framework and they
    0:05:06 decided to try and do that by basically targeting me, I don’t know any other way to describe
    0:05:07 it.
    0:05:14 And yeah, I was sitting just having an usual Friday night at home when I started to see
    0:05:21 all this hate mail filling up my email and what has happened, I don’t understand this.
    0:05:28 And then somebody showed me that Tucker Carlson had put my image on his show and said that
    0:05:33 I was trying to promote social justice and mathematics through the framework.
    0:05:34 And that was it.
    0:05:38 Yeah, that started a pretty tumultuous time.
    0:05:45 In a sense, you are promoting social diversification and justice through the framework, right?
    0:05:50 You’re trying to make math more accessible to more students.
    0:05:51 Exactly.
    0:05:55 So in a sense, what they said you’re trying to do is correct.
    0:05:58 But why is it such a big controversy?
    0:06:00 Why are they against this?
    0:06:05 One of the things why they’re against this is a kind of a deep question.
    0:06:12 I would say my own take on it is there are people who’ve been very successful in mathematics
    0:06:14 in their lives and they are the people who are against it.
    0:06:18 If you look at the people who are pushing back on the framework, it is all those who’ve
    0:06:23 been extremely successful and they like the system as it is.
    0:06:28 They know how to get their own children to excel in the system, proposing changes that
    0:06:34 would broaden the access to mathematics to many more children is not something that those
    0:06:38 who are in that position particularly want.
    0:06:42 So for some people, their motives were not very egalitarian.
    0:06:45 They really wanted to keep the system as it was.
    0:06:50 And some of those people then spread lies about the framework.
    0:06:57 So one that was spread around a lot was that we were stopping children being able to accelerate
    0:07:00 and stopping them being able to take algebra in eighth grade.
    0:07:03 This was the big lie that was sent around.
    0:07:10 In fact, what the framework does is recommend that people not put young children in elementary
    0:07:16 school into different tracks that then cement their pathways from that point onwards.
    0:07:22 So as soon as we entered into that realm of let’s not have students who were of a young
    0:07:34 age in tracks that alerted a set of people that things were going to change and unfortunately
    0:07:37 they spread these ideas widely.
    0:07:45 It turns out that very successful people are able to influence the media considerably.
    0:07:51 So if you saw any news about the framework, then it’s likely to be negative.
    0:07:58 The reporting of the framework was almost entirely based on sharing the STEM professors
    0:08:00 who didn’t want it.
    0:08:03 Nobody shared all the educators who did want it.
    0:08:07 And then when it went to the state board for approval, it was unanimously approved and
    0:08:12 backed by the California Teachers Association and educators across the state, all the equity
    0:08:14 groups across the state.
    0:08:21 So it’s a really odd situation that all of the news about it was negative, yet all of
    0:08:25 the educators in the state supported it.
    0:08:30 When you say the very successful people, are you talking about people successful in the
    0:08:35 math perfection or successful as titans of Silicon Valley?
    0:08:39 Who are these people who are trying to perpetuate the old way?
    0:08:44 Both, particularly some particularly powerful people in Silicon Valley amongst the people
    0:08:46 who don’t want math changes.
    0:08:53 I was actually at a really nice garden party sort of lunch that was arranged for people
    0:08:58 who are working to help students in different countries.
    0:09:05 And the organizer said to me, “Oh, all of the leaders, the CEOs I spoke to said they’re
    0:09:08 not going to come because you’re coming.”
    0:09:17 So they really did a good job of making me the enemy of kids advancing in math.
    0:09:18 That is how they think of me.
    0:09:22 Joe, I am having an unabody experience here.
    0:09:30 You’re telling me that the CEOs of tech companies are on this warpath with you because you’re
    0:09:34 trying to make math more accessible to more kids.
    0:09:35 Did I repeat that right?
    0:09:36 Yes.
    0:09:38 Yes, that’s definitely true.
    0:09:43 And I think many of them have believed things that have been shared about the framework
    0:09:46 and about me that aren’t true.
    0:09:51 I absolutely support kids going forward and accelerating if they’re ready to do that.
    0:09:58 What I don’t support is writing off students from a young age, but yeah, that’s basically
    0:09:59 where we are.
    0:10:06 I have to say, I’m just scratching my head and I know a lot of VCs and there’s a transition
    0:10:12 when you cross over into extreme wealth where all of a sudden you think that your wealth
    0:10:16 makes you smarter and an expert in everything.
    0:10:22 So now you run a private equity fund or a hedge fund and all of a sudden now you’re an
    0:10:29 expert in plagiarism and academic circles and it’s venture capital disease and now
    0:10:33 you should tell teachers how to teach and all that.
    0:10:38 I just want to throw up, I just want to throw up.
    0:10:40 Yeah, you’re definitely naming something there.
    0:10:44 That was part of the distressing thing about the pushback of the framework.
    0:10:50 There’s a maths professor at Stanford who was one of the leading people against it who
    0:10:54 shared websites saying all the research inside it is wrong.
    0:10:56 This is where I’m going to show it’s wrong.
    0:11:02 And if you look at what he’s written, it just shows that he doesn’t understand educational
    0:11:08 research and is actually using something they use in maths that you don’t use in educational
    0:11:12 research to say all of these studies should be discredited.
    0:11:18 A lot of people believe that a maths professor says it’s wrong, they shared it with everybody.
    0:11:25 Nobody stopped to think, does a maths professor understand the K-12 education system?
    0:11:26 That didn’t come up for anybody.
    0:11:31 It’s been quite a few years working on this.
    0:11:33 Okay, one last question about this.
    0:11:39 So now you’re this target of Tucker Carlson who’s, by the way, going to go to Russia to
    0:11:43 interview Putin to help us explain Russia while he’s at it.
    0:11:47 Now that he’s conquered maths, he’s going to take on world peace.
    0:11:50 What happens when your inbox explodes?
    0:11:52 Is it just inbox and you can just ignore stuff?
    0:11:55 Is it social media or are there threats on your life?
    0:11:57 What happens?
    0:12:04 I def, I did get threats on my life and my children’s, which is particularly scary.
    0:12:11 Stanford at one point decided to add my house to their nightly patrols to check on me.
    0:12:16 It’s more than just getting nasty emails, it is threatening.
    0:12:21 So it’s a really odd, this seems to be the world we live in now that somebody hears some
    0:12:26 words from Tucker Carlson and then immediately sends a death threat based on it.
    0:12:31 And I don’t know what to say about that really, but it does seem to be the way we’re going.
    0:12:33 And I got through it.
    0:12:34 The framework was passed.
    0:12:37 My life started to go back to normal.
    0:12:42 I have a website at Stanford where we share free resources for teachers that teachers
    0:12:48 love and are accessed by millions of teachers and everything seemed to, you know, I could
    0:12:51 go back to that important work.
    0:12:58 So then yesterday it all kicked off again and somebody shared the group that’s against
    0:13:03 me shared that they were going to tell Stanford to fire me.
    0:13:08 And so I’m back now, I’m back trying to deal with this.
    0:13:11 It’s also a new theme in academia.
    0:13:18 Climate scientists are under similar kind of attack, but people are surprised that it’s
    0:13:22 a person in math education that surprises them.
    0:13:23 No kidding.
    0:13:25 Like I said, my head is exploding.
    0:13:27 I just don’t get this.
    0:13:33 Of all the things in the world, you have to pick a fight on why this anyway, let’s get
    0:13:35 off this cesspool here.
    0:13:42 I first, I want you to explain the concept of narrow maths.
    0:13:45 What makes maths narrow?
    0:13:47 What makes math narrow?
    0:13:53 And to really come from our textbook companies in the US, somebody set out all the standards
    0:13:55 that are important in mathematics.
    0:14:00 And I learned through my framework work that nobody actually meant that as a guide to teaching.
    0:14:03 It was more of a, this is all the detail of everything.
    0:14:08 And what the textbooks have done is take all these short statements about maths and turn
    0:14:11 them into narrow questions for students.
    0:14:16 So their experience of learning maths is often just going through lots and lots of short
    0:14:20 questions that are not meaningful to them.
    0:14:28 And really just a targeted, a sort of narrow method where we have a lot of research that
    0:14:35 shows that we want to engage students in bigger, more complex problems where they get to think
    0:14:42 and reason and talk to each other and solve mathematical issues in the world and really
    0:14:47 make maths something that’s meaningful to them, but they see that it’s helping them
    0:14:49 in the world.
    0:14:52 And we don’t have that in classrooms.
    0:14:57 And a lot of people have had the narrow maths experience and left maths as early as they
    0:15:04 can or worse, they’ve really come to believe that they can’t do it.
    0:15:12 And many times people feel that if they can’t do it, they’re not a full person, that there’s
    0:15:14 something wrong with them.
    0:15:20 Math has given a lot of status in our society, so it’s important to students to feel they
    0:15:22 can be successful.
    0:15:27 So yeah, we have this experience of narrow maths and it’s been spectacularly successful
    0:15:32 at helping only a narrow group of students go forward.
    0:15:39 Only some students are inspired by that experience of working through short questions.
    0:15:44 And the book, my new book, Math-ish, is really about making maths a much more interesting
    0:15:46 subject for students.
    0:15:52 One of the initiatives of the framework was to take all of those isolated tiny standards
    0:15:58 and to make them into bigger ideas that teachers could organize their teaching around and bring
    0:16:01 in rich tasks.
    0:16:08 What I don’t understand is for many people, okay, obviously there is a small segment that
    0:16:12 they love it because it’s going to help their SAT score.
    0:16:17 They figured it out, blah, blah, blah, and get into Ivy League schools and all that.
    0:16:24 But how did we get to this place where I think much of the student population and parent
    0:16:27 population, they just dread math.
    0:16:33 They see math as like the equivalent of the Navy Seals Hell Week, where the purpose is
    0:16:35 to get people to drop out.
    0:16:39 Right, look, how did we get to this place?
    0:16:40 How did we?
    0:16:41 That’s a good question.
    0:16:45 Many years ago, when mathematics was put into the curriculum in schools, it was really
    0:16:48 there to help people work in shops.
    0:16:53 So they needed to be good at calculating with numbers.
    0:17:00 And curriculum was set out in the 1800s that went from all of that calculating with numbers
    0:17:02 into algebra and geometry.
    0:17:07 And we have continued to teach those exact ideas hundreds of years later, even though
    0:17:10 the mathematics of the world has changed a lot.
    0:17:16 And we don’t need to teach kids to be little calculators because we actually have tools
    0:17:20 in our modern society that does that work better than they do.
    0:17:26 What we need is to teach them to make sense of problems and be able to interpret results
    0:17:37 so that they can make important contributions.
    0:17:46 So give me an illustration of an example where the ability to solve narrow math is not nearly
    0:17:52 as relevant in modern society as this more generalized creative approach.
    0:17:57 So what’s the problem people will face where they’re using math, they need math, they may
    0:18:04 not even realize that this is the kind of math we need, not the ability to solve a quadratic
    0:18:06 equation on an SAT test?
    0:18:13 I’ll tell you a story and this is also a controversy that’s happening now in California.
    0:18:17 We have developed a data science course in our center at Stanford.
    0:18:19 It’s a one year high school course.
    0:18:24 And there has been the moves in California and across the country to have that be a
    0:18:30 high school course for students that is an alternative to say algebra two, which is that
    0:18:33 course where you’re doing lots and lots of algebraic equations.
    0:18:37 Now there’s pushback and people saying it shouldn’t be, but we developed this course
    0:18:43 and we studied it and inside our study, we gave students who are in algebra two classes
    0:18:48 and students in the data science class the same test question.
    0:18:53 And it actually asked them to look at some data and develop a function to make sense
    0:18:54 of it.
    0:19:02 So we gave them some data about health and poverty in different countries and what people’s,
    0:19:07 how many calories people took in and how that related to their lifespan and asked them to
    0:19:09 make sense of that table of data.
    0:19:14 So the students in data science did significantly better than the students in algebra two, even
    0:19:21 though it was a test of algebra, because the kids in algebra two just learn all these formulas.
    0:19:25 And when they come to seeing a table of real data from the world, they don’t know how to
    0:19:29 apply those formulas to the table.
    0:19:33 It’s a really basic kind of algebra concept that you can look at numbers and plot them
    0:19:36 and see the relationship.
    0:19:37 And they just didn’t know how to do it.
    0:19:39 They had all these formulas.
    0:19:46 And what we teach the kids in data science is to make sense of a situation and to analyze
    0:19:50 patterns and to see what’s happening.
    0:19:56 One place that this would have really helped in recent years is understanding COVID data.
    0:20:02 When the pandemic was happening, our screens were filled with linear relationships shown
    0:20:09 on graphs, the relationship between vaccines and mortality, all sorts of different things.
    0:20:17 And if students haven’t learned to look at a situation like that and make sense of it,
    0:20:21 they were not in a good position to be helped during the pandemic.
    0:20:27 Yeah, in the modern world, what we need students to be able to do, I think Conrad Wolfram puts
    0:20:29 it well.
    0:20:34 People probably have heard of Conrad Wolfram, he created Wolfram Alpha with his brother
    0:20:40 and Mathematica and their technology powers, both Alexa and Siri.
    0:20:43 And he says, this is what we do mathematically in our jobs and in our world.
    0:20:46 We form a question.
    0:20:50 We work out how to make that into a computable answer.
    0:20:54 We do the computation and then we analyze the results.
    0:21:00 But there’s four part process, but in school, it’s all about just doing the computation.
    0:21:06 So students aren’t given situations where they ask their own question and then they
    0:21:11 think, how can I make this into something I can calculate to find something important?
    0:21:17 And one of the things he’s done is he’s made an entire high school curriculum taken out
    0:21:23 all the parts where students are learning methods to do by hand that in the modern world
    0:21:30 are always done by computers. And instead, our students to program those into a computer
    0:21:32 and analyze the results.
    0:21:37 And it’s taken, it’s freed up a lot of time so students can now work on these really
    0:21:42 cool projects like designing drones and analyzing music.
    0:21:45 So that is the idea.
    0:21:50 We can do a lot better in our maths teaching if we really think about what the students
    0:21:51 really need.
    0:21:57 We need them to reason and problem solve and solve complex problems.
    0:22:02 We don’t need them rehearsing methods that don’t mean anything to them.
    0:22:08 This is somewhat of a facetious hypothetical question, but do you think if you asked your
    0:22:15 random American sample, let’s say you told them one out of five million people who got
    0:22:24 a COVID vaccination died, but one out of 100,000 people who didn’t get a vaccination died?
    0:22:26 Should you get a vaccination or not?
    0:22:30 Do you think a lot of people would say, no, vaccination is too dangerous?
    0:22:34 Are you talking about that basic level?
    0:22:39 And what we’ve done in maths education is make people afraid of maths and afraid of
    0:22:44 numbers. So they probably wouldn’t even engage in their thinking.
    0:22:50 Many people will look at numbers and move away from them and not look at a graph, not
    0:22:54 look at a set of numbers, it just provokes fear and anxiety.
    0:22:57 Yeah, I do think that.
    0:22:59 Madison and I are surfers.
    0:23:02 We love to surf.
    0:23:08 And we always, I always encounter people when I say you ought to try surfing.
    0:23:13 And they say that, no, because I could get eaten by a shark.
    0:23:17 And then I point out, there have been like, I don’t know, three shark attacks, fatal shark
    0:23:20 attacks in the world this year.
    0:23:26 The most dangerous part of surfing is driving over the hill from Menlo Park to Santa Cruz
    0:23:32 on Highway 17, much higher probability you’re going to die because a truck runs you over
    0:23:35 then you’re going to get eaten by a shark.
    0:23:38 But they still say, no, I’m afraid of sharks.
    0:23:40 Like, how do you even deal with it?
    0:23:46 I would say you deal with that by giving people a good mathematics education where they’re
    0:23:50 able to make sense of probabilities.
    0:23:56 Probability is an area that people are totally terrified by and won’t engage with.
    0:24:01 Yeah, I’m a strong believer that giving people a high quality education is going to protect
    0:24:05 them in many ways in the world.
    0:24:07 Understanding probabilities is one.
    0:24:12 Also in the modern world, we know that young people are going to be sent a lot of data
    0:24:18 and data visuals that are incorrect, that are intended to mislead them.
    0:24:24 And we need to protect them by being used to looking at data and data visuals and thinking.
    0:24:25 Who sent this?
    0:24:27 Why did they send it?
    0:24:28 What does it mean?
    0:24:32 Is it all the data or is it manipulated in some way?
    0:24:38 And so there’s a strong need to help our students with this kind of data literacy.
    0:24:47 So if I was plopped into a data science course as opposed to an Algebra II course, what would
    0:24:52 I immediately notice as the difference between data science and Algebra?
    0:24:59 One of the big differences is students start with a data set and they are encouraged to
    0:25:01 ask questions of that data.
    0:25:04 What can we learn about the world through asking a question?
    0:25:06 It’s their own question.
    0:25:10 And then they use methods to interrogate it.
    0:25:12 They’re going to learn some technology in data science.
    0:25:21 We’re going to learn a little bit of coding and use data platforms that are really helpful.
    0:25:25 And they’re going to come up with a result and they’re going to interpret that result
    0:25:27 and communicate it.
    0:25:33 In an Algebra II course, they’re probably going to be moving symbols around a page.
    0:25:37 And we are coming up with the different symbols.
    0:25:41 The students who take the data science courses are very clear about this.
    0:25:43 This is meaningful mathematics.
    0:25:45 It means something to me.
    0:25:46 I understand it.
    0:25:49 This isn’t just pushing symbols around a page.
    0:25:52 It’s something that’s powerful for the world.
    0:25:58 So, it’s amazing that we now have people pushing back on students learning data science saying
    0:26:02 they should not have a data science course in high school.
    0:26:06 And the particular pushback we’re getting now is people saying we shouldn’t have a data
    0:26:11 science course in high school because it’s not got enough Algebra in it.
    0:26:20 Wait, it hasn’t enough Algebra in it in order to prepare you for the SAT in order for you
    0:26:21 to go to the Ivy League?
    0:26:24 Is that kind of a thing?
    0:26:30 Yeah, some people are genuinely worried that if you want to be in a STEM major in college,
    0:26:33 then you need a lot of Algebra.
    0:26:37 But instead of saying, well, let’s, because one of the things we know about data science
    0:26:41 is a lot of kids go into it feeling like math, they hate math.
    0:26:44 They never want to do another math course.
    0:26:49 And then they realize that math can actually be interesting and they become excited about
    0:26:50 it.
    0:26:52 They want to go further in STEM.
    0:26:57 So a better move from these people who are concerned about maybe they need to go, they’re
    0:26:58 going into STEM.
    0:27:03 They need a lot of Algebra is to think about what could we offer them after data science
    0:27:07 that could bridge into more Algebra, more Calculates.
    0:27:12 If I am a college and I have students coming who’ve taken many students take data science
    0:27:17 in year three and then statistics in year four, APC that stats maybe.
    0:27:22 If I have a student coming through that statistics pathway, is there a bridging course I can
    0:27:27 offer at the college so that they can get more onto that Calculus track of lots and
    0:27:29 lots of Algebra?
    0:27:34 That would be more sensible than saying let’s ban data science for everybody and in their
    0:27:38 banning of data science for everybody, they’re doing that for kids who are never going to
    0:27:44 go into STEM and for whom that data science course is actually really important.
    0:27:49 You could make the case that data science is more important to the survival of society
    0:27:52 than advanced math.
    0:27:53 Absolutely.
    0:27:54 Absolutely.
    0:27:59 And of course, if you take a data science course, you’re more likely to develop perhaps
    0:28:04 a critical perspective on things that are sent to you in the world.
    0:28:10 And so there is some line of thinking that people don’t want our whole population to
    0:28:13 have that data awareness.
    0:28:14 Yeah.
    0:28:16 God forbid people could think like that.
    0:28:17 Yeah.
    0:28:23 So what about the pushback that people say we have to teach math this way because it helps
    0:28:29 the human brain develop problem-solving techniques, which seems to me you just said refutes.
    0:28:32 The research refutes that.
    0:28:33 It does.
    0:28:38 Kids need math because it’s going to help them develop their brains.
    0:28:43 It does develop their brains, but the math that really develops their brains is one that’s
    0:28:45 what I call multi-dimensional.
    0:28:50 One of the things we know about our brains is we have five different pathways that can
    0:28:52 process mathematical ideas.
    0:28:56 Two of them are visual pathways at the back of the head.
    0:29:01 And so we also know that mathematicians, when they’ve looked at their brains as they’re
    0:29:08 working on math, what’s different from other academics is they’re using those visual pathways.
    0:29:13 So on our website, U-Cubed, we make a lot of the mathematics visual.
    0:29:18 We know that students are really helped by a visual or a physical model of mathematical
    0:29:19 ideas.
    0:29:25 I really like some of the recent neuroscience that’s showing that as we go around the world,
    0:29:31 all of us, we’re building mental models of ideas.
    0:29:33 That’s how we exist in the world.
    0:29:39 So this scientist, Jeff Hawkins, gives an example of knowing a stapler.
    0:29:46 If I was to ask you what you know about a stapler, you would probably say, I know what
    0:29:47 it looks like.
    0:29:48 I know what it feels like.
    0:29:49 I know what it sounds like.
    0:29:51 I know what happens when I use it.
    0:29:55 You have built all of these ideas about a stapler.
    0:29:59 And in maths, we need to build those mental models for kids.
    0:30:04 So when they’re just going through number calculations, they are developing one area
    0:30:05 of their brain.
    0:30:12 But if they’re building, and if they’re drawing, and they’re seeing maths conceptually, and
    0:30:17 then their brain is getting a full workout, they’re getting these different pathways involved.
    0:30:24 I think the brain argument that narrow maths is building your brain doesn’t work for me
    0:30:28 because narrow maths might strengthen one area of the brain, but it’s leaving completely
    0:30:34 neglected the other areas that we really need to exercise.
    0:30:41 Could you make the argument that an abacus or a slide rule is a good thing?
    0:30:42 That’s more visual.
    0:30:43 It’s more tactile.
    0:30:44 Yeah.
    0:30:49 And recently, I think an abacus is a great tool for students’ learning.
    0:30:53 One of the things we’ve learned from neuroscience in recent years is how important our fingers
    0:31:00 are, and that students who develop greater knowledge of their fingers do better in maths.
    0:31:04 Fingers are like a number line that we carry around with us, and they directly map into
    0:31:07 a part of the brain that’s using that.
    0:31:14 So it’s really no wonder any sort of finger work leads to really greater maths achievement.
    0:31:17 But what was your question?
    0:31:23 No, just I was thinking when you’re talking about tactile and visual and not just solving
    0:31:27 equations that an abacus is tactile.
    0:31:28 Oh, yeah.
    0:31:30 So an abacus is great.
    0:31:31 It’s tactile.
    0:31:33 It gets finger used.
    0:31:35 That’s what made me think about the fingers.
    0:31:43 And yes, one of the ideas in my book that I share, maybe I could share this now, is the
    0:31:47 idea of approaching maths with an ish lens.
    0:31:48 I was coming.
    0:31:50 That was my next question.
    0:31:54 So tell me what the ish in math is.
    0:31:55 Yeah.
    0:31:58 You made me think about that when you talked about slide rules, and I’ll tell you why it
    0:31:59 connects to that.
    0:32:00 But yeah.
    0:32:03 So I make an argument that in maths classrooms, maths is very precise.
    0:32:06 It’s always precise.
    0:32:13 And in the, but in the real world, almost always when we use numbers, they are ish numbers.
    0:32:19 And those are good enough and some different examples are like, how much of the moon can
    0:32:24 I see or how much rain fell last night or how old are you or how long will this drive
    0:32:28 take to the airport or how much paint do I need to paint the wall.
    0:32:31 All of these are actually not very precise numbers.
    0:32:32 They’re ish numbers.
    0:32:38 That’s a disconnect for kids and precise is important, but we need those to be more
    0:32:44 in balance. But I also know that when kids are ishing numbers, I can give you an example.
    0:32:53 If I asked you to work out or asked anybody to work out, let’s say 287 divided by nine,
    0:32:58 the most people could give an ish answer to that they couldn’t do the precise calculation
    0:32:59 in their head.
    0:33:01 They could give an ish answer.
    0:33:04 But being able to ish an answer means you have numbers sent.
    0:33:11 And when you ish, you’re staying at that conceptual level of the, what do these numbers mean?
    0:33:15 And when we go into the precise mode, what happens is a lot of kids get lost in that
    0:33:16 precision.
    0:33:21 So I’m recommending to teachers, I hear from teachers, my students don’t have number sense.
    0:33:24 They do these calculations and they give wild answers.
    0:33:27 They don’t think about what the numbers are.
    0:33:33 And my recommendation in the book is before anybody does a calculation, any student in
    0:33:37 any classroom, you should ask them to ish the number first.
    0:33:40 Because then they’re staying at that conceptual level.
    0:33:41 Yeah.
    0:33:45 So anyway, I put that recommendation in the book, I’ve been talking about it.
    0:33:49 And I get this email from a teacher saying, this was amazing.
    0:33:53 I went to my classroom, I asked the kids to ish numbers.
    0:33:55 And we looked at the precise number.
    0:33:58 And they talked about the difference.
    0:34:01 And they started asking each other, what’s your ish number?
    0:34:05 And she said something amazing happened that all these students who don’t normally engage
    0:34:10 in maths are suddenly jumping in and sharing their ish numbers.
    0:34:12 We went down and we videoed the class.
    0:34:17 We’re putting the video on our website and all these kids are engaged.
    0:34:21 The principal came into the lesson with us and she was beaming from ear to ear.
    0:34:25 She said, these students who are sharing ish numbers are the ones who are normally outside
    0:34:30 the office because they are so badly behaved in the class.
    0:34:36 And these students, when we talk to them, we’re saying, well, this is the world ish
    0:34:42 numbers are our world, they’re what we use when we talk about time, when we pour things
    0:34:49 out and measure liquids and now maths is meaningful to them.
    0:34:52 And it’s also keeping them at this really important conceptual level.
    0:34:55 So anyway, I’ve just become very excited about ish.
    0:35:01 When I was sharing maths ish to an audience, one of the audience members said, oh, my father
    0:35:05 was a rocket scientist.
    0:35:12 And he talked about how they used to measure with slide rules and really had to have an
    0:35:15 ish idea of what their measurement was.
    0:35:18 But now they just do it all with technology.
    0:35:23 And so they make mistakes because they’re not ish-ing the number, they’re just taking
    0:35:27 this number from the technology and using it.
    0:35:29 And mistakes are happening much more often.
    0:35:34 So that was what made me think about your slide rule thing.
    0:35:40 And one last thing, if people say to me, well, isn’t ish-ing the same as estimating?
    0:35:43 And my answer to that is it is the same thing.
    0:35:49 But when we ask students to estimate a number, they often think, oh, this is another mathematical
    0:35:55 method, and they calculate it precisely and round it off to make it look like an estimate.
    0:36:03 But when we ask them to ish numbers, something amazing happens, and they become more free,
    0:36:09 and they’re more willing to share their ish numbers, I’m pretty excited about it as a
    0:36:12 concept and teachers are very excited about it.
    0:36:14 So that makes me excited.
    0:36:21 I have to say I love the concept and I have a suggested alternate title, although books
    0:36:25 laid in granite and it’s ready to come out or it’s out already.
    0:36:30 But yeah, I’m going to give you all the caveats why this is a lousy title.
    0:36:38 But I will say you also have to be old to understand this, but a title for your book
    0:36:47 could have been 30-something because when you say what’s 275 divided by 9, you say 30-something,
    0:36:48 right?
    0:36:49 Yeah.
    0:36:50 But that was a great TV show.
    0:36:51 Oh, it was?
    0:36:52 Yeah.
    0:37:01 Now we have other TV shows with ish in the title, but yes, I think that could have been
    0:37:02 that.
    0:37:10 You make a passion appeal why maybe because you’re British, but it should be maths, plural,
    0:37:13 not math, right?
    0:37:18 So why didn’t you name your book maths-ish?
    0:37:22 There were two reasons I didn’t call it maths-ish.
    0:37:27 I do say maths and I do prefer maths because it’s short for mathematics.
    0:37:35 All the ways of being mathematical and if I math, math, the word math, very narrow sounding
    0:37:40 and in England we do call it maths, but I didn’t call it maths-ish for two reasons.
    0:37:44 One, the publishers always make me write math because it’s going to an American audience
    0:37:48 and the book is full of the word math anyway.
    0:37:57 But also maths-ish is a bit of a tongue twister and it’s hard to say and so I don’t worry
    0:38:00 so much about it sounding narrow when it’s math-ish.
    0:38:02 It’s not a narrow word like math.
    0:38:03 Okay.
    0:38:13 Now, so in this perfect world or this fantasy world, maybe someday there’s a SAT-ish, right?
    0:38:14 Oh yeah, right?
    0:38:20 Or you could have approximate answers just to measure your reality and your reasoning,
    0:38:22 not your precision.
    0:38:26 That would be a great idea actually.
    0:38:31 It would measure kids’ number sense, which is what they really need in the world.
    0:38:34 Actually you reminded me that there was ish-ing.
    0:38:38 One of my arguments I give in the book is that ish-ing is really helpful with standardized
    0:38:39 tests.
    0:38:40 Wow.
    0:38:46 A lot of time they give standardized test questions and ask you which of these is correct, which
    0:38:50 of these answers is correct and of course you can ish your way to the correct answer
    0:38:53 a lot better than you can calculate it.
    0:38:58 Along with the standardized test questions given out to students across the country and
    0:39:07 NAIT question, they were asked 7/8 plus 12/13 and then they were given four choices.
    0:39:14 Is that closest to 1, 2, 19 or 21?
    0:39:21 You can probably think 7/8 is nearly 1, 12/13 is nearly 1, so there’s a chance it would
    0:39:22 be 2.
    0:39:30 The most common answer given by 17-year-olds was 19 and the second most common, the second
    0:39:32 most common answer was 21.
    0:39:33 How can that be?
    0:39:38 So that happens because these kids dive into calculating.
    0:39:45 They have never ish-ed questions in their lives, so they look at that 7/8 plus 12/13
    0:39:53 and they think I have to do a calculation and so they get lost in the calculation.
    0:40:01 Obviously the 19 is the 7 plus 12 and the 21 is the 8 plus 13, but it’s tragic and
    0:40:07 could be avoided if we got these kids getting used to ish-ing numbers and this is why I’m
    0:40:12 finding that teachers immediately know how powerful this idea is because they know that’s
    0:40:18 what students need, but they haven’t had a way of getting them to do that and feel comfortable
    0:40:19 about it.
    0:40:24 If you were to apply narrow math to that problem, step one is to what?
    0:40:28 Find the common denominator so you can get it exactly right.
    0:40:37 Step one would be, yes, to add 8/13, you’d have to find a number that 8/13 goes into and
    0:40:41 convert them into common denominators and add the numerators.
    0:40:45 It’s a whole method that they tried to do.
    0:40:48 Seriously, this could be a matter of life or death.
    0:40:52 If you have to make a calculation like that and you come up with 19 when it’s closer to
    0:40:57 2, that’s you literally could endanger yourself, right?
    0:40:58 I agree.
    0:41:04 Yeah, and if you’re using maths in the workplace and you’re making those kind of errors, one
    0:41:09 thing teachers always say is we want students and employers say we want people to know when
    0:41:13 an answer is reasonable and that’s what ish-ing is so helpful with.
    0:41:17 It’s giving kids that idea of what’s reasonable.
    0:41:21 One of the students we interviewed when we went to the school that day said, “Oh, I get
    0:41:26 so annoyed in maths that we do a calculation and then we have to do the whole thing again
    0:41:28 to check it’s right.”
    0:41:32 But now I don’t need to do that because I ish the answer first and then I can see from
    0:41:35 my calculation whether it’s right.
    0:41:40 And yeah, I just think there’s many uses of ish-ing.
    0:41:41 I love the concept.
    0:41:46 Joe, I think life is one big ish, if you ask me.
    0:41:47 I agree.
    0:41:48 Right?
    0:41:49 Life is an ish.
    0:41:52 You can ish your way through your life and do a little bit of it.
    0:41:53 It’s like surfing.
    0:42:01 The waves are one to two ish or they’re right, they’re four, they’re dead ish.
    0:42:05 You don’t need to know it’s 4.65 feet.
    0:42:06 You don’t need to know that.
    0:42:08 That’s another really good example.
    0:42:11 I should add surfing to my list of examples.
    0:42:18 And if people took more of an ish approach to then things in their life, not just numbers,
    0:42:19 it would help them.
    0:42:23 You know, it’s not about these binary right and wrong.
    0:42:28 I know that a lot of kids fear maths, a lot of kids and a lot of adults.
    0:42:34 And actually what they fear is that precision that it’s right or wrong and often they’re
    0:42:37 wrong and that is what they fear about it.
    0:42:43 And when we take an ish approach to numbers, it really stoppens the edges of maths for
    0:42:47 kids as well as giving them access to that conceptual thinking.
    0:42:52 So I should say what I’m not saying because I get misquoted in the media all the time
    0:42:58 now and I’m not saying that precision is not important, but I am saying we should be more
    0:42:59 balanced.
    0:43:06 And when kids are both ishing and being precise, it gives them a much more powerful experience.
    0:43:09 Up next on Remarkable People.
    0:43:12 Sometimes high achieving students are very narrow in their thinking.
    0:43:16 They’ve been successful, but there’s only one way they can think about it.
    0:43:22 And they sit in a group with a different kind of student who sees something visually and
    0:43:27 it’s surprising to these other students and they learn a different way of approaching things.
    0:43:37 So I do think diversity in all sorts of forms of diversity enriches students experiences
    0:43:39 and schools.
    0:43:43 Become a little more remarkable with each episode of Remarkable People.
    0:43:49 It’s found on Apple Podcast or wherever you listen to your favorite shows.
    0:43:54 Welcome back to Remarkable People with Guy Kawasaki.
    0:43:59 I think much of your book is discussing about how because of the teaching techniques or
    0:44:06 because of the expectations of society that there’s much, I don’t know, negativity and
    0:44:12 stuff surrounding math and there’s like people who believe that you either have a math brain
    0:44:17 or you’re not, which is completely contrary to Carol Dweck’s thinking.
    0:44:22 And so apply the growth mindset to math.
    0:44:28 It is what I love to do and I’ve been inspired by Carol Dweck’s work and really decided
    0:44:34 about 10 years ago to try and get it into math education more because we have a population
    0:44:41 about over 90% of parents in a survey said that their children either had a math brain
    0:44:43 or they don’t or they didn’t.
    0:44:48 That myth of the math brain is still very widespread.
    0:44:54 And so yeah, Carol Dweck has shown and neuroscientists have shown that our brains are constantly changing
    0:44:58 and developing and growing and connecting.
    0:45:06 One of the pushback to the framework was the anti-mindset people who said that mindset
    0:45:10 is wrong and it shouldn’t be in the framework.
    0:45:12 There’s a whole group of people who are against mindset.
    0:45:16 It turns out I really think that any good idea in the world these days, there will be
    0:45:23 people against it somewhere, but it’s very important to math that teachers know that
    0:45:26 students can learn what they’re teaching.
    0:45:31 Many teachers still think their role is to figure out who’s the math person and who’s
    0:45:32 not.
    0:45:35 And so it’s been important to change that.
    0:45:43 And do math teachers come to this kind of conclusion because they’re basically expected
    0:45:50 and they’re reviewed on their capacity for their students to get high standardized test
    0:45:51 scores.
    0:45:53 Is that the root of the problem?
    0:45:55 Standardized test scores are a part of the problem.
    0:46:02 The massive amount of standards in the curriculum is part of the problem.
    0:46:03 Teachers don’t go into depth on anything.
    0:46:07 They have to skim through lots and lots of methods.
    0:46:11 There’s a few parts to the problem in education.
    0:46:14 But standardized testing is one of them.
    0:46:18 And if you teach narrow maths, if that’s what you think maths is, and that is what most
    0:46:26 people think maths is, this narrow subject of calculations and methods, if you teach
    0:46:29 narrow maths, then only some students will be successful.
    0:46:35 So it perpetuates this myth that teachers have that only some students can be successful.
    0:46:38 It’s not about the way they’re teaching.
    0:46:40 It’s just the way of the world.
    0:46:46 And it just reinforces their idea that to be good at maths, you’re just a special kind
    0:46:51 of person and only a few people can be that kind of person.
    0:46:59 But at extremes, surely there must be some people who are just gifted in math, right,
    0:47:01 or gifted in physics.
    0:47:06 You can’t say that Stephen Wolfram is a random person.
    0:47:09 Some people have developed incredible brains.
    0:47:12 This is not an argument that people are the same.
    0:47:16 The question is, though, how did he develop that brain?
    0:47:24 And my problem with the idea of a gift is it’s very fixed, like you have it or you don’t.
    0:47:26 Whereas we know that everybody’s on a growth journey.
    0:47:32 You can’t cut off, make a cut off point and say, you have a gift, you don’t have a gift.
    0:47:37 It is on a growth journey and can develop and grow their brains.
    0:47:41 One of the people I like to share is somebody called Nicholas Lechford, who when he was
    0:47:45 growing up, his parents were told he was learning disabled.
    0:47:49 He had a very low IQ, you believe in IQ.
    0:47:57 And he graduated from Oxford with a doctoral degree in applied mathematics after huge problems
    0:48:00 as a younger child learning anything.
    0:48:06 We know, we have millions of examples or we have lots of examples of people who had really
    0:48:10 strong difficulties and went on to achieve amazing things.
    0:48:13 It’s not that some people are born with something.
    0:48:15 They end up with something for sure.
    0:48:19 There are people whose brains are incredibly powerful.
    0:48:21 But where does that come from?
    0:48:22 Everybody’s born with a different brain.
    0:48:25 Nobody is born with the same brain.
    0:48:26 Everybody’s is different.
    0:48:32 But the millions of opportunities you have to change your brain as you go through life
    0:48:40 even as a baby and in the early years, those opportunities make more difference than differences
    0:48:42 that we’re born with.
    0:48:47 What if I were like push back on you and say, okay, so you just cited me one example of
    0:48:55 someone who had all these learning challenges and was cast into a particular bracket of
    0:49:01 not being able to do math and overcame that, got a PhD at Oxford.
    0:49:07 So yeah, you picked one example, but then someone on the opposite side could say, I
    0:49:12 know this person and he got vaccinated and he died.
    0:49:14 So that proves vaccination is bad.
    0:49:21 So one data point either way, how are people supposed to figure out that citing one vaccination
    0:49:23 death is misleading?
    0:49:26 What you just did could be just as misleading.
    0:49:27 No.
    0:49:33 Well, no, but I would say that somebody who takes a vaccine has a vaccination and die.
    0:49:35 You don’t know why they’ve died.
    0:49:39 You can’t say that vaccination caused him to die.
    0:49:44 But when you look at people who overcome significant difficulties and go on to learn incredible
    0:49:51 things, even one person shows you that can happen, that the way we approach learning
    0:49:58 and life can change what happens for you even when you start off in a hard place.
    0:50:00 And we have not just one example.
    0:50:04 We have many, many examples that show that.
    0:50:08 There was a school situation I remember in England that’s really interesting that in
    0:50:13 England you take an exam at 16 and they’re in three different levels.
    0:50:15 The lowest one, the middle one, the higher one.
    0:50:21 And if you get put into the lowest exam, the highest grade you can get is a D. So it matters
    0:50:23 which exam you’ll put in for.
    0:50:27 And one school I worked with years ago just said, you know what, I’m going to put all
    0:50:30 the kids into the highest paper.
    0:50:33 And we’re going to prepare them all for the highest paper.
    0:50:39 And those kids all got the grades on the highest paper.
    0:50:40 She didn’t change her teachers.
    0:50:42 She didn’t.
    0:50:44 She just said they’re all going to do that work.
    0:50:47 And they all got one of those highest grades.
    0:50:52 We know that fixing people and deciding people have issues and they can’t learn.
    0:50:55 It’s just not the right approach in education.
    0:50:58 This is somewhat of a related story.
    0:51:07 So I have been able to moderate several panels with chancellors of large universities.
    0:51:13 I often ask them about admission policies, about relying on standardized tests and essays
    0:51:15 and all that.
    0:51:19 And I pose to several of them, like, why don’t we try an experiment?
    0:51:26 Why don’t you just say, everybody apply and we are just going to randomly select people
    0:51:27 to admit.
    0:51:30 And let’s just see what happens.
    0:51:38 Does that produce a more successful student body than our laser focus on SAT and college
    0:51:41 essay and recommendations?
    0:51:45 And I did not get a lot of support for that.
    0:51:48 I bet you didn’t.
    0:51:50 It’s what the UCs did, actually.
    0:51:56 They’ve always used SATs as the filter and measure of whether kids can be successful
    0:51:57 in the UCs.
    0:51:59 And then they dismantled that.
    0:52:03 They got rid of SATs that it’s no longer used.
    0:52:06 And what they found was their students are just as successful.
    0:52:10 They’re bringing in a more diverse group of students.
    0:52:13 They’re more racially diverse.
    0:52:16 And they’re doing just as well as when they had the SAT as a filter.
    0:52:21 So that kind of is your experiment a little bit.
    0:52:27 I think you make a point in your book that by bringing in a diversity of students, some
    0:52:34 of whom are not as successful at that point as others, that everybody benefits because
    0:52:41 even the ones who are doing better learn from watching how the ones who are not doing better
    0:52:43 are learning.
    0:52:48 So watching people struggle can help you learn how to be a better student.
    0:52:53 And also we know that helping others learn helps yourself.
    0:52:59 So we see this when students are in more diverse groups in terms of their prior achievement.
    0:53:04 What we find is the ones who are most helped by that are the highest achieving students.
    0:53:08 And the reason is they’re spending time helping other students.
    0:53:12 And of course, anyone who’s taught knows that the best way to learn something deeply is to
    0:53:14 teach it.
    0:53:18 And it also means kids think differently.
    0:53:21 Sometimes high achieving students are very narrow in their thinking.
    0:53:25 They’ve been successful, but there’s only one way they can think about it.
    0:53:31 And they sit in a group with a different kind of student who sees something visually and
    0:53:33 it’s surprising to these other students.
    0:53:36 And they learn a different way of approaching things.
    0:53:43 So I do think diversity in all sorts of forms of diversity enriches students’ experiences
    0:53:46 in schools and their learning.
    0:53:51 And that would take us right back to our friend Tucker Carlson, which is if he understood
    0:53:58 this, he would insist on diversification because it would make everybody better, including
    0:54:03 a white kid destined for Ivy Legs, right?
    0:54:05 It would make everybody better.
    0:54:09 And that’s something that people don’t get.
    0:54:15 Some of the people who push back on any sort of anti-tracking messages say, “I don’t want
    0:54:18 my kids in classes with those kids.”
    0:54:24 That’s the insidious underpinning of the pushback on tracking.
    0:54:28 People want to keep their kids separate from other kids.
    0:54:33 But they don’t know that when we have these environments where students are together and
    0:54:37 they’re more diverse in all different ways, it benefits everybody.
    0:54:40 That’s definitely what the research shows.
    0:54:48 So now my brain is multi-processing and I’m thinking, so if I started surfing with surfers
    0:54:53 who are not as good as me, would that make me a better surfer?
    0:54:59 If you were teaching them, then probably it would, because the teaching would make you
    0:55:00 better surfers.
    0:55:04 So I’m going to start telling Madison to teach me how to surf because she would then
    0:55:09 be teaching someone not as good as her and it would help her improve too.
    0:55:10 That’s right.
    0:55:16 My last topic, the topic that I love and I want to understand more is the concept of
    0:55:24 metacognition and for those of you listening, that has nothing to do with the intelligence
    0:55:26 of Mark Zuckerberg and Facebook.
    0:55:28 So what is metacognition?
    0:55:32 I never thought of that, Link.
    0:55:33 Metacognition.
    0:55:38 A lot of people think metacognition is thinking about your own thinking and there is a piece
    0:55:45 of that, but metacognition and people with metacognitive ideas, it’s more than that.
    0:55:48 It starts with self-belief.
    0:55:49 It has growth mindset in it.
    0:55:54 You believe that you can do something, but then somebody who’s metacognitive has different
    0:55:57 ways to approach a problem.
    0:55:59 Maybe they have a range of strategies they’ve learned.
    0:56:04 We talked about one at the beginning, trying a smaller case, they have a range of strategies
    0:56:09 and they’re willing to try these different strategies out.
    0:56:15 They see metacognition in the part of the brain and it’s pretty powerful.
    0:56:21 One of the things I do in the book is urge people to teach students how to learn.
    0:56:27 I think as maths teachers, we often think I’m there to teach maths, but actually many
    0:56:34 kids haven’t learned how to approach maths well and they may have learned counterproductive
    0:56:35 ideas.
    0:56:41 Teaching kids how to learn, teaching them how to be metacognitive is really important.
    0:56:48 Let’s say I’m a parent and I’ve listened to this whole podcast and my kid is 17, 18,
    0:56:51 19 years old.
    0:56:57 He or she is the product of a school system that was geared towards standardized tests
    0:57:04 and Algebra 1, Algebra 2, Algebra 3, so you can get into pre-calculus so that you can
    0:57:09 get into calculus so you can get into the Ivy League so that you can have a STEM career
    0:57:15 and he hates maths, she hates maths, we got him tutors, we did everything we could, we
    0:57:22 dread maths, which what do you do if you’re midstream and you’re stuck in this position
    0:57:27 and now you listen to this podcast, you read your book and you’re saying the whole system
    0:57:31 is screwed up, what do I do for my kid?
    0:57:35 I think what’s really important for all of us is that we develop a playful relationship
    0:57:36 with maths.
    0:57:42 I see maths as just a playground of ideas that we can try out and investigate things
    0:57:48 and so I deal with those people all the time because I’m always running workshops for teachers
    0:57:51 and many teachers are in that position.
    0:57:57 They hated maths and they saw it as a list of methods to memorize and we introduce them
    0:58:03 to playful maths, we give them activities where they’re making connections and seeing
    0:58:10 things differently and at many, many times teachers have cried or become very emotional
    0:58:16 and said oh my gosh, I just didn’t know maths could be like this and I didn’t know I could
    0:58:22 do this and so I think shifting people from that narrow, getting them out of that narrow
    0:58:27 maths experience is almost like a therapy people need into seeing maths differently is
    0:58:32 really important and some adults go through that transition from reading books, maybe
    0:58:38 they read math-ish and that takes them on that path and then they start to engage with maths
    0:58:43 differently and some people need more than that, like they need to go to a workshop or
    0:58:52 something where they’re able to experience maths differently and that will get them shifting.
    0:58:57 Many, many people make that shift and they’re always happy when they make the shift but
    0:59:04 we have to encourage more people to make that shift, to see maths differently not as this
    0:59:08 rigid set of numbers but as this ish playground.
    0:59:11 Okay, but I want you to get really tactical.
    0:59:15 I’m listening to this podcast, I’m a real believer, my kid hates math, I’m afraid of
    0:59:17 math for his or her future.
    0:59:18 What do I do?
    0:59:20 What do I do?
    0:59:23 Not conceptually, what do I do?
    0:59:28 We have a number of resources on our website to help people, one of them is an online class,
    0:59:35 it’s completely free, six 50-minute sessions that people can take, it changes their mindset,
    0:59:37 it changes their approach to maths.
    0:59:42 We have a lot of evidence of that, we’ve studied it with randomized controlled trials,
    0:59:46 students who take it, engage differently in maths class afterwards, they score at high
    0:59:53 levels on tests afterwards, come to U-Cubed and look at the online class, it’s really
    0:59:58 for adults or children and look at the other resources that we share.
    1:00:04 I’m really passionate about changing people’s relationships with maths and we have U-Cubed,
    1:00:10 we have a new maths app now called Struggly, we have books, many different resources aimed
    1:00:16 at really giving people that different maths experience.
    1:00:22 I have to admit I love the ish concept, I’m going to become an ish evangelist, you know
    1:00:29 where you live your life, approximately, logically, realistically, roughly right.
    1:00:36 I love that concept, life is too short to be too precise, so thank you Joe Bowler for
    1:00:42 introducing me to this concept, now I’d like to thank the Remarkable People team, that
    1:00:50 would be precisely Matt as a Nismar producer and co-author of Think Remarkable, you must
    1:00:58 read this book, maybe we’ll rename it Think Remarkable Ish, and then there’s Tessa Nismar,
    1:01:04 Tessa prepares me with all the background research and perfects our transcripts.
    1:01:10 And speaking of perfection, there is Jeff C. and Shannon Hernandez, sound design engineers
    1:01:19 extraordinaire, and finally Luis Magana, Alexis Nishimura, and Fallon Yates, we are the Remarkable
    1:01:35 People team, we’re on a mission to make you Remarkable, until next time, Mahalo and Aloha.

    In this captivating episode of Remarkable People, Guy Kawasaki sits down with Jo Boaler, a trailblazing professor of education at Stanford University. Together, they dive into the transformative power of embracing a multidimensional approach to mathematics education. Boaler shares her groundbreaking research on reframing our relationship with math, emphasizing the importance of creativity, diversity, and meaning in the subject. Discover the seven principles that can revolutionize the way we learn and teach mathematics, empowering students to develop a deep understanding and appreciation for the subject. Join us as we explore how a shift in mindset and approach can unlock the potential of math education for all.

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable. 

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People. 

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable. 

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology 

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  • Kim Scott: The Power of Radical Respect and Candor

    AI transcript
    0:00:12 I’m Guy Kawasaki, and this is Remarkable People.
    0:00:15 We’re on a mission to make you remarkable.
    0:00:19 Helping me in this episode is Kim Scott.
    0:00:24 She is the author of a book called Radical Respect – How to Work Together Better.
    0:00:29 It offers a framework for creating collaborative cultures where everyone can do their best
    0:00:30 work.
    0:00:36 Kim is also the author of the best-seller Radical Candler – Be a Kickass Boss Without
    0:00:38 Losing Your Humanity.
    0:00:43 She has a bachelor’s in Slavic Literature from Princeton and an MBA from Harvard Business
    0:00:45 School.
    0:00:51 Scott coached executives at tech companies such as Dropbox, Qualtrics, and Twitter.
    0:00:57 She served on the faculty at Apple University, and we almost overlapped there.
    0:01:02 She has also led the AdSense, YouTube, and DoubleClick teams at Google.
    0:01:09 Her experience includes managing a pediatric clinic in Kosovo, and starting a diamond cutting
    0:01:11 factory in Moscow.
    0:01:15 One of my questions to her is, are you really a spook?
    0:01:19 Although I guess if you’re a spook, you’re not going to exactly admit that in a podcast.
    0:01:22 Anyway, I’m Guy Kawasaki.
    0:01:24 This is Remarkable People.
    0:01:35 I am thrilled to have the remarkable Kim Scott on the Remarkable People podcast.
    0:01:40 I saw that you started a diamond cutting factory in Moscow.
    0:01:41 Walk me through that.
    0:01:45 Are you some kind of secret agent for Russia or something?
    0:01:47 No, no, 100% no.
    0:01:51 My mother believes, and there’s nothing I can do to persuade her otherwise, that I work
    0:01:53 for the CIA, but I do not.
    0:01:58 In fact, I couldn’t even get a job as a nanny in the U.S. Embassy in Moscow because I was
    0:01:59 too liberal.
    0:02:00 Anyway, there you have it.
    0:02:07 I studied arms control in college, and I graduated in 1990.
    0:02:12 My senior year, the Berlin Wall fell, and all the problems I was studying to solve that
    0:02:16 seemed so intractable just kind of evaporated.
    0:02:22 I went to Moscow, and I was doing a study on military conversion and swords and a plow
    0:02:27 shares, and I wound up working for a financial management company that was investing in all
    0:02:32 these converting Soviet defense plants, and then the coup happened, and they put their
    0:02:37 money in China, but I wanted to stay in Russia, and so through a friend of a friend, I got
    0:02:41 a job working for this diamond cutting company called Lazara Kaplan.
    0:02:42 Lazara Kaplan?
    0:02:44 That’s a huge deal.
    0:02:46 They make radiant cuts.
    0:02:48 Yeah, yeah, yeah, yeah.
    0:02:50 You may have bought one of their diamonds at some point.
    0:02:51 Oh, yeah.
    0:02:55 I used to be in the jewelry business.
    0:02:59 Oh, I did not know that, yeah, so you know Lazara Kaplan.
    0:03:01 Nobody else has ever known them, but you did.
    0:03:02 Oh, no.
    0:03:07 Lazara Kaplan, the radiant cut, which is a combination of basically like an emerald
    0:03:10 cut, square cut, but a round cut in the middle, right?
    0:03:11 Yeah, yeah.
    0:03:12 It has more facets, yeah.
    0:03:13 More sparkle.
    0:03:14 Exactly.
    0:03:20 So, the Soviet Union had been stockpiling its large diamonds for a rainy day, and they
    0:03:23 decided it was raining, so we cut them for them.
    0:03:24 Wow.
    0:03:25 What a great store.
    0:03:28 Yeah, and in fact, that was my first management.
    0:03:32 That was when I got interested in management, because I had to hire these Russian diamond
    0:03:35 cutters, and I thought this was going to be easy.
    0:03:42 This was 1992, and the ruble was collapsing, and the dollar was strong, and I had studied
    0:03:45 Russian literature, so what did I know about starting a business?
    0:03:46 Nothing.
    0:03:47 I was 22.
    0:03:52 I thought, “I have money, and it’s valuable, and hiring people is easy when you have money.
    0:03:53 That’s all it’s about.”
    0:03:56 And so, I went to talk to them, and they didn’t just take the job.
    0:04:00 They wanted a picnic, and I was like, “Well, okay, I can do a picnic too.”
    0:04:06 And so, we went on this picnic, and by the time we were finished with a bottle of vodka,
    0:04:09 I realized that the thing they really wanted was more than money.
    0:04:14 They wanted to know they would have a boss who gave it to them, who would get them out
    0:04:17 of the country if it went sideways.
    0:04:22 And that was like, “Oh, maybe management is a human thing and interesting.”
    0:04:26 So when is the Netflix series about your life going to come out?
    0:04:32 As soon as I can find someone who won’t make a hush of it, it’s funny.
    0:04:38 I go all over the place giving these radical candor talks, and in the radical candor framework,
    0:04:43 it’s radical candor, and the upper right hand quadrant, ruinous empathy, and everybody
    0:04:47 says they’re ruinously empathetic, except when I went to Hollywood.
    0:04:49 They were like, “Oh, we’re a bunch of assholes here.”
    0:04:51 We’re all obnoxiously aggressive.
    0:04:57 So you started this diamond cutting operation in Moscow, and then eventually you ended up
    0:05:00 working fast forwarding a few decades.
    0:05:03 You started working at Apple University.
    0:05:04 I did.
    0:05:05 Yeah.
    0:05:06 I did.
    0:05:08 So here’s a funny story for you.
    0:05:16 So I left Apple twice in ’87 and ’97, and then around, oh, I think 2000, I was at some
    0:05:20 conference, the Kara Swisher, Waltz, Mossberg conference.
    0:05:25 And I saw Steve, and Steve says to me, “I want you to come back to Apple and run Apple
    0:05:26 University.”
    0:05:28 You should have done it.
    0:05:29 I know.
    0:05:33 I would be a billionaire today, and I told him, “No, I don’t think so, Steve.”
    0:05:37 And so then he hired the guy who ran the Yale.
    0:05:38 Yeah.
    0:05:39 School of Management, yeah.
    0:05:40 Could I have been your boss then?
    0:05:41 Yes.
    0:05:42 You could have been my boss.
    0:05:44 That would have been awesome.
    0:05:46 I might still be at Apple today if you had been my boss.
    0:05:50 And then I would be in your book, you know, and I would say, “Okay, in this corner is
    0:05:54 obnoxious aggression, and the example of that is Guy Kawasaki.”
    0:05:55 No.
    0:05:56 Never.
    0:05:59 Praise in public, criticize in private.
    0:06:04 I wish I could tell you that nobody ever asked me this question, but I’m going to ask
    0:06:09 you a question, probably everybody asks you because of your Apple University time and
    0:06:11 your radical candor question.
    0:06:14 So you know what question I have to ask, right?
    0:06:16 I’m ready.
    0:06:19 What corner is Steve Jobs in?
    0:06:20 You know what?
    0:06:25 So I think from the outside, most people would put him in obnoxious aggression, but I’m going
    0:06:26 to —
    0:06:27 I’d say that’s true, yes.
    0:06:31 I will say, and I did not ever work directly with Steve.
    0:06:36 I saw him from afar, but there are a couple of things that might indicate that he was
    0:06:39 radically candid.
    0:06:44 One is that as Tim Cook offered to give him part of his liver when he was ill.
    0:06:51 And Steve refused the offer, and I don’t know of a word to explain the offer or the refusal
    0:06:53 of the offer other than love.
    0:06:57 I mean, those two men truly care deeply about each other.
    0:07:04 And so I think in his closest personal relationships, there was definitely radical candor.
    0:07:05 There was a lot of love.
    0:07:11 So I’m going to say that even though I probably would not have wanted to work directly for
    0:07:17 Steve because I would have felt very intimidating, the people who did work directly with him,
    0:07:21 at least some of them, I had a radically candid relationship with him.
    0:07:22 Like that’s the thing about radical candor.
    0:07:24 There’s not an objective standard for it.
    0:07:26 It’s interpersonal.
    0:07:30 And so I mean, I’ll give you a simpler example.
    0:07:35 So I had worked with this guy for a long time, and I liked him a lot.
    0:07:36 We had a good relationship.
    0:07:40 He worked for me at a startup, and then he came and worked for me at Google.
    0:07:44 And there were a bunch of people on the team who didn’t know me very well, and then he
    0:07:45 joined.
    0:07:50 And we were localizing AdSense, and this guy, Jared, is his name.
    0:07:55 He kept confusing Slovakia and Slovenia, and I corrected him once.
    0:07:56 I corrected him twice.
    0:08:01 And the third time I was like, it’s Slovakia, not Slovenia, dumbass.
    0:08:05 But in the context of my relationship with him, that was radical candor because that
    0:08:06 was fine.
    0:08:07 I knew it wasn’t going to upset him.
    0:08:10 He knew I respected him and liked him.
    0:08:15 But from the perspective of everybody else in the room, that was a noxious aggression.
    0:08:20 And so I realized for the sake of the others, I needed to pause and back up and say, look,
    0:08:24 I’m not going to call the rest of you all dumbass, but Jared likes it when I do.
    0:08:26 So there’s like not an objective measure for it.
    0:08:27 I don’t know.
    0:08:28 What do you think?
    0:08:29 You knew Steve much better than I did.
    0:08:30 Where are you going to?
    0:08:34 I don’t know if that’s true, but I would definitely have to put him in the obnoxious
    0:08:36 aggression quadrant.
    0:08:42 But having said that, I think you have to consider another factor, which is not that
    0:08:44 it makes it okay.
    0:08:51 With someone like Steve, obnoxious aggression is part of the shtick and made him effective.
    0:08:52 So more power to him.
    0:08:57 I cherish the days that I work for him and it’s kind of like if you played for Bobby
    0:09:02 Knight or Vince Lombardi to date myself, like people love those coaches who played for those
    0:09:03 coaches.
    0:09:04 Yeah.
    0:09:06 So anyway, this is my last historical question here.
    0:09:11 So I want to hear about your course at Apple called Managing at Apple, because man, that
    0:09:13 sounds like an oxymoron to me.
    0:09:16 So what was that course about?
    0:09:20 That course was about soliciting feedback.
    0:09:25 It was about building a great team and it was about getting results.
    0:09:31 There was another class called Communicating at Apple and it was ironic because I had managed
    0:09:32 a lot at Google.
    0:09:36 I had managed, I had since YouTube and double click teams at Google.
    0:09:38 I left Google, I had 700 employees.
    0:09:41 I joined Apple and I had zero employees.
    0:09:43 You got paid more.
    0:09:44 Yeah.
    0:09:45 No, I got paid less.
    0:09:49 Actually, I took a pay cut, a 50% pay cut to go to Apple.
    0:09:51 I was that excited.
    0:09:55 As it turned out, the stock appreciated, so it was not a 50% pay cut, but I thought it
    0:09:57 was going to be a 50% pay cut.
    0:10:02 Anyway, at some point as I was designing this course, it was really interesting because
    0:10:07 if I had designed a course called Managing at Google, I would have designed it in about
    0:10:10 five hours and started teaching it.
    0:10:15 And at Apple, they gave me five months and I couldn’t believe it.
    0:10:16 I was like, am I going to get fired?
    0:10:18 I’m not doing anything.
    0:10:24 It was a real education in how Apple gave people the space and time to really think
    0:10:29 deeply about things and to perfect ideas, whereas Google’s just launching iterate.
    0:10:31 So that was really fun.
    0:10:36 But then when I left Apple and decided to write Radical Candor, I had done a lot of
    0:10:40 the thinking for the class and I thought, oh, I’ve already done all the thinking.
    0:10:42 I can write this book in three months.
    0:10:44 It took me four years.
    0:10:45 Why?
    0:10:51 Because it turns out when you present something, you don’t think as deeply as when you write
    0:10:52 it.
    0:10:55 And when I started writing it, I started arguing with myself.
    0:10:56 Is this right?
    0:10:57 Is this wrong?
    0:11:01 So the Radical Candor framework is care personally challenged directly.
    0:11:05 On the vertical line is care personally, horizontal line is challenged directly.
    0:11:12 But at Apple, it was unclear to clear, smiley face to frowny face.
    0:11:14 So the two by two wasn’t quite right.
    0:11:16 It took me three months just to get the two by two right.
    0:11:19 You should have hired McKinsey to help you.
    0:11:22 I think I did better than McKinsey would have done.
    0:11:27 I’m going to go out on a limb and say it was better than I did it.
    0:11:31 I worked, by the way, at McKinsey for two months.
    0:11:32 You did?
    0:11:33 I did.
    0:11:35 In between my two years of business school.
    0:11:36 Wow.
    0:11:39 This is before after you were a diamond mogul in Moscow.
    0:11:45 This is after the diamond cutting episode and before I joined Google, before I did three
    0:11:46 failed startups.
    0:11:51 Kim, I gotta tell you, the more you describe your career, the more I am convinced you are
    0:11:52 a spook.
    0:11:55 I mean, you and my mother can chat.
    0:11:58 One of the people featured in our book is Julia Child.
    0:12:02 And I don’t know if you knew this, but she worked for the OSS until her mid 30s.
    0:12:03 She did.
    0:12:04 Yes.
    0:12:05 Oh my gosh.
    0:12:06 I did not know that.
    0:12:07 Wow.
    0:12:08 Wow.
    0:12:11 Julia Child moved to Paris where she fell in love with French cooking.
    0:12:13 Maybe that’s the next stage of your life.
    0:12:14 Yeah.
    0:12:15 You’re going to be a chef.
    0:12:18 No, no, no, my next, I wish I had my t-shirt right here.
    0:12:27 My next phase of my life is going to be all about rewilding California landscape and growing
    0:12:28 poppies.
    0:12:30 That’s what I want to do in my retirement.
    0:12:31 There you go.
    0:12:38 Oh, so come on man, this, this is going to be the most defocused episode in the history
    0:12:39 of remarkable people.
    0:12:43 But so I live in Watsonville and I have a hill behind my house.
    0:12:45 I will come in and plant it.
    0:12:49 I will come and teach you how to turn it orange in the spring.
    0:12:50 Holy shit.
    0:12:51 You got to read.
    0:12:52 Think remarkable.
    0:12:54 There’s a whole section about.
    0:13:00 So I had about 150 or 200 eucalyptus trees removed from this hill because for you.
    0:13:04 I don’t want those things falling on my cars or turning on fire.
    0:13:05 Yeah.
    0:13:06 Yeah.
    0:13:12 So I had them all removed and then I decided I got a restorative to it’s native species.
    0:13:17 So I decided to plant Oaks and then I did this whole investigation of what it takes
    0:13:19 to plant Oaks in it.
    0:13:23 Now please don’t correct me because I don’t want to have to redo my book.
    0:13:27 But what I concluded was you go find acorns, you throw them in the water.
    0:13:30 The ones that float, you throw away the ones that sink.
    0:13:35 You put in a tray, you cover it with a cloth, you put it in your refrigerator for two months
    0:13:39 and then you plant it and then some seedlings happen and you protect those from the deer
    0:13:44 and then you wait 20 years and maybe if you’re still alive, you can sit under the shade of
    0:13:45 the oak tree.
    0:13:46 The oak tree.
    0:13:47 Yes.
    0:13:48 23.
    0:13:49 That’s true.
    0:13:50 I think that’s an excellent plan.
    0:13:56 But what you can do in the meantime is plant some poppies while the oaks are growing, the
    0:14:00 poppies will not hurt the oaks and then you can enjoy a nice orange hillside.
    0:14:04 Oh, and then I can have this little side business of opium.
    0:14:06 No, no, no.
    0:14:07 California poppies.
    0:14:11 You can’t make opium out of them, unfortunately, but they’re very beautiful.
    0:14:14 I have a friend in Afghanistan who said he would send me seeds.
    0:14:15 Yeah, yeah, yeah.
    0:14:16 Don’t do those.
    0:14:18 Use the California native.
    0:14:20 They’re adapted for the drought.
    0:14:21 Yeah.
    0:14:24 Oh man, I got to get you to my house to help me with my rewilding.
    0:14:25 Rewild.
    0:14:26 Yes.
    0:14:27 Oh, God.
    0:14:28 Yeah.
    0:14:33 This is what a career in tech will do to you.
    0:14:36 You just want to get out and get dirt underneath your fingernails.
    0:14:42 God, we’ve only been like 13 minutes into this episode and now I know how to rewild
    0:14:48 my hill and I know what I can do with my extra liver if I ever want to give it to Madison.
    0:14:51 Madison, if you ever need a liver, I’ll give you my liver.
    0:14:52 Okay.
    0:14:53 Not just not all of it.
    0:14:54 Just half of it.
    0:14:55 Then you can share your liver.
    0:14:56 It turns out.
    0:14:57 Who knew?
    0:14:59 That’s what co-authors do for each other.
    0:15:00 They’re shared livers.
    0:15:01 It is true.
    0:15:02 That’s how it is.
    0:15:03 That’s absolutely true.
    0:15:04 Yeah.
    0:15:17 Let’s get to the topic of your book.
    0:15:21 So first of all, for the ignorant among us, you just got to tell me what does respect
    0:15:24 mean in your vernacular?
    0:15:25 So it’s really interesting.
    0:15:28 There’s two definitions of respect.
    0:15:31 One is something you have to earn.
    0:15:32 You have a skill.
    0:15:35 You need to demonstrate that you’re good at the skill and then people respect you for
    0:15:37 that skill.
    0:15:39 That is not what I’m talking about in radical respect.
    0:15:44 The other definition of respect is the regard that we owe.
    0:15:47 Maybe I should have called it radical regard.
    0:15:55 But anyway, the regard that we owe to everyone for who they are, what their emotions are,
    0:16:01 what their background is, that’s what I’m talking about is something that is every human
    0:16:03 being’s birthright.
    0:16:04 Is that kind of respect?
    0:16:10 The respect that we owe one another regardless of what we’ve done or haven’t done in our
    0:16:12 lives.
    0:16:15 And what makes radical respect radical?
    0:16:18 I think it’s because it’s rare and it’s fundamental.
    0:16:20 It’s not because it’s extreme.
    0:16:24 Radical we think of as extreme, but I think of it as like a foundational thing.
    0:16:30 And the reason why it’s so foundational and so rare is because, you know me, I love a
    0:16:31 good two-by-two.
    0:16:33 It combines two different things.
    0:16:40 It combines a kind of environment where we optimize for collaboration, not coercion,
    0:16:46 and where we honor everyone’s individuality rather than demanding conformity.
    0:16:50 So it’s the kind of environment where the strength of the team is the individual and
    0:16:52 the strength of the individual is the team.
    0:16:54 You get the best of both worlds.
    0:17:00 And yet this rarely happens and it’s weird that it rarely happens because I think we
    0:17:06 all intend to create these environments that optimize for collaboration.
    0:17:10 I’ve known a lot of different kind of leaders and none of them really wanted to create a
    0:17:12 coercive environment.
    0:17:17 And certainly nobody wants to take a job at a place that’s going to coerce them.
    0:17:21 We know that innovation thrives in freedom and collaboration.
    0:17:26 And I also have never met anyone who wants to work in a everybody’s marching and lockstep
    0:17:30 1984 style kind of environment.
    0:17:33 We expect our own individuality to be honored.
    0:17:38 And most of us think of people who honor other people’s individuality.
    0:17:41 We don’t want everybody to be exactly the same.
    0:17:45 And yet so often we fail on one dimension or another.
    0:17:51 And sometimes we fail on both and then we wind up in what I call brutal incompetence.
    0:17:55 That’s not what we’re shooting for, but sometimes we land there.
    0:17:56 Two things.
    0:18:00 So as I told you, I live in Watsonville, Santa Cruz, and I got to tell you, there’s
    0:18:07 a local mentality where respect is not at all defined like how you defined it.
    0:18:10 Respect is about I got to get respect.
    0:18:13 And so if you look at me the wrong way, I’m going to fight you.
    0:18:14 I’m going to pull a gun on you.
    0:18:15 I’m going to yell back.
    0:18:16 I want my respect.
    0:18:19 And it’s like a not even passive aggressive.
    0:18:21 It’s an aggressive, aggressive thing.
    0:18:22 I demand respect.
    0:18:27 How did we get to that point where I thought respect was a positive thing, but it’s now
    0:18:28 like this.
    0:18:29 It’s like this justification.
    0:18:30 I want respect.
    0:18:35 I’m going to storm the capital because I want to respect how did we get to this point?
    0:18:41 I think a lot of people feel profoundly disrespected in the world in which we live.
    0:18:50 And I think part of the problem is actually the dramatic income inequality that exists
    0:18:54 in the world where the 1% are getting more and more, and I’m part of the problem, not
    0:19:02 part of the solution, but so many jobs that people have, they don’t pay a living wage.
    0:19:03 You have to have two jobs.
    0:19:07 You should be able to just have one job to survive in this world.
    0:19:09 You shouldn’t have to have two.
    0:19:13 You shouldn’t be $400 from homelessness all the time.
    0:19:16 And so I think that’s a big part of the problem.
    0:19:21 I think there are too many people whose lives are genuinely too precarious.
    0:19:26 I think that’s part of the problem, but I also think part of the problem is like this
    0:19:32 idea that it’s your own damn fault if you’re in that situation, which kind of adds insult
    0:19:33 to injury.
    0:19:37 And so I think we really need to focus on improving that.
    0:19:44 Although I also think that there’s core fundamental things that get in the way of respect, I think
    0:19:47 are bias, prejudice, and bullying.
    0:19:49 Those are the root problems.
    0:19:54 And I think we often conflate those three things as though they’re the same thing.
    0:19:58 So one of the things that I try to do, I’m not going to fix the whole economy in this
    0:20:04 book, but I’m trying to address the things that we as individuals can address and fix.
    0:20:09 And I think very often we’ll be in a situation and something will happen, and it’ll kind
    0:20:10 of leave you gobsmacked.
    0:20:12 You don’t know what to say.
    0:20:17 And I think part of the problem is that we have conflated bias, prejudice, and bullying
    0:20:19 as though they’re the same thing.
    0:20:25 And if we break them apart, then it’s easier to know what to say rather than saying, oh,
    0:20:28 this is this monolithic problem that we can never solve.
    0:20:29 Let’s break the problem down.
    0:20:32 There’s all kinds of big problems that we’ve solved this people.
    0:20:34 So I’ve tried to break it down.
    0:20:38 So I’m going to offer some simple definitions, but it looks like you want to say something.
    0:20:42 No, I was just going to say, please define the three things.
    0:20:45 Okay, so bias I’m going to define as not meaning it.
    0:20:49 It’s usually unconscious, whereas prejudice is meaning it.
    0:20:54 It’s very consciously held belief, usually incorporating some kind of unfair and inaccurate
    0:20:55 stereotype.
    0:21:00 And bullying is there’s no belief conscious or unconscious, it’s just being mean.
    0:21:06 And so if you think about those three things in a different way, it becomes easier to figure
    0:21:08 out what to say when you don’t know what to say.
    0:21:12 So if it’s bias, I recommend responding with an I statement.
    0:21:15 I don’t think you meant that the way it sounded.
    0:21:19 Great example of this comes from a friend of mine who started a company and she was
    0:21:24 going into a meeting with two colleagues who are men and she sat at the center of the table
    0:21:28 because she had the expertise that was going to win her team the deal.
    0:21:32 And when the other folks came in, the first person sat across from the guy to her left,
    0:21:37 the next person sat across from the guy to his left and then everybody else filed on down
    0:21:39 the table, leaving her dangling by herself.
    0:21:43 I think they assumed she was the assistant.
    0:21:47 And she started talking, that’s often how bias shows up.
    0:21:52 So she started talking and when the other side had questions, they would direct their
    0:21:55 questions at her two colleagues who were men.
    0:21:58 Happened once, happened twice, happened a third time.
    0:22:02 And finally one of her colleagues stood up and he said, “I think Joanne and I should
    0:22:04 just switch seats.”
    0:22:09 That was all he had to do to totally change the dynamic in the room.
    0:22:12 And he did that for sort of three basic reasons.
    0:22:13 The first was emotional.
    0:22:17 He liked her and he didn’t like seeing her get ignored.
    0:22:20 The second was very practical.
    0:22:23 He wanted to win the deal and he knew if they wouldn’t listen to her, they wouldn’t win
    0:22:24 the deal.
    0:22:27 And the third was around efficiency because he knew it was going to be easier for them
    0:22:33 to hear it from him than from her, not because she couldn’t speak up for herself, but it
    0:22:37 was just they were going to be more likely to understand what they had done if he pointed
    0:22:39 it out than if she had.
    0:22:41 So that’s an example of an “I” statement.
    0:22:44 It kind of holds up a mirror.
    0:22:49 But if you hold up a mirror to prejudice, the other person is going to grin in that
    0:22:50 mirror.
    0:22:54 It’s not going to, they’re going to like what they see because they believe that thing.
    0:22:58 And so in the case of prejudice, you need an “it” statement.
    0:23:02 And an “it” statement draws a line between one person’s freedom to believe whatever
    0:23:03 they want.
    0:23:06 But they can’t impose those beliefs on others.
    0:23:11 And an “it” statement can appeal to the law.
    0:23:16 An “it” statement can appeal to an HR policy or it can appeal to common sense.
    0:23:23 For example, a colleague of mine was in a hiring meeting and everyone who had interviewed
    0:23:29 all the candidates agreed that the most qualified woman for the job, most qualified person for
    0:23:33 the job was a black woman who had worn her hair out naturally.
    0:23:40 And when the hiring manager heard everybody’s feedback, they said, “Oh, I’m not going to
    0:23:43 extend an offer to that candidate.”
    0:23:46 And my colleague said, “Why not?”
    0:23:50 And the hiring manager said, “I’m not going to put that hair in front of the business.”
    0:23:51 Unbelievable.
    0:23:56 So this was not long ago and at a company everybody would recognize.
    0:23:59 How can my colleague employ an “it” statement in that situation?
    0:24:04 It is illegal not to hire someone because of their hair, which it was in that state thanks
    0:24:05 to the Crown Act.
    0:24:09 It is an HR violation not to hire someone because of their hair, which it was at that
    0:24:10 company.
    0:24:16 Or if she hadn’t had the law or the HR policy on her side, she could have said, “It is ridiculous
    0:24:19 not to hire the most qualified candidate because of their hair.”
    0:24:22 So that’s an example of an “it” statement.
    0:24:26 However, if it’s bullying, an “it” statement is not going to work because a bully wants
    0:24:32 to kick past any boundary you set up, their natural instinct is to kick past it.
    0:24:34 And an “I” statement also won’t work.
    0:24:38 An “I” statement brings somebody closer to you and with a bully you want to push them
    0:24:39 away.
    0:24:44 My daughter taught me about this when she was in third grade, she was getting bullied.
    0:24:46 And I recommended to her an “I” statement.
    0:24:49 I said, “Tell this kid I feel sad when you blah, blah, blah, blah, blah.”
    0:24:54 She banged her fists on the table and she said, “Mom, they are trying to make me feel
    0:24:55 sad.
    0:24:56 Why would I tell them they succeeded?”
    0:25:00 I was like, “Oh, that’s a really good point.”
    0:25:03 So in the case of bullying, you can’t talk to me like that.
    0:25:05 Or what’s going on for you here?
    0:25:06 Why are you doing this?
    0:25:12 Or if that feels too scary to say, you could just use a “you” non sequitur.
    0:25:13 Like where’d you get that shirt?
    0:25:18 The point of that is you’re now not accepting whatever it is this person is dishing out
    0:25:19 at you.
    0:25:22 You’re not in an active stance, not a submissive stance.
    0:25:28 So there’s obviously tons more to do to deal with bias prejudice and bullying.
    0:25:34 But those are just like, especially when you observe them, when you’re the upstander, those
    0:25:37 are some quick responses.
    0:25:40 And you may not even know what you’re going to say, but just figuring out if you’re going
    0:25:46 to start with the word “I,” “it,” or “you” can be really helpful to get the ball rolling.
    0:25:53 Okay, so I’m going to tell you a story, and I’m going to ask you what I should do if this
    0:25:54 happens again.
    0:25:55 All right.
    0:25:56 Okay.
    0:25:57 All right.
    0:26:02 So now this story happened, I don’t know, 25 years ago, but it was a formative occurrence
    0:26:03 in my life.
    0:26:08 So my wife and I, and one son, we were living on Union Street in San Francisco, right where
    0:26:10 Union Street dead ends into the Presidio.
    0:26:11 Right?
    0:26:12 Yeah.
    0:26:13 So it’s like, you know, that’s a hoity-toity area.
    0:26:14 Yeah.
    0:26:15 Fancy.
    0:26:19 So I’m out there and I’m trimming our hedge.
    0:26:24 And this older white woman comes up to me and says, “Do you do lawns, too?”
    0:26:26 Okay.
    0:26:31 So now, how do I know if that’s bias or prejudice?
    0:26:37 I think the thing that you do, what the thing I would do in that situation is I would start
    0:26:38 with an “I” statement.
    0:26:42 I would assume it’s bias because that’s easiest for people.
    0:26:48 And so what I would say is I own this home and I’m doing my own work, but I don’t work
    0:26:50 for other people.
    0:26:55 And then she would be probably super embarrassed and hopefully she would apologize.
    0:26:56 Okay.
    0:27:00 However, if she doubled down and said, “Well, you could still come,” then you know what
    0:27:02 it is, is prejudice.
    0:27:05 I’ll share an example, a story from my career.
    0:27:12 I had just come back from maternity leave and I was chit chatting with a guy before
    0:27:13 a meeting.
    0:27:18 And he said to me, “My wife doesn’t work because it’s better for the children.”
    0:27:23 And that, of course, in my current state was like a gut punch, but I assumed it was bias.
    0:27:24 I didn’t think he really meant it.
    0:27:28 And so I tried to make a joke that would point out to him.
    0:27:32 And so I said, “Well, I decided to show up at work today because I wanted to neglect
    0:27:33 my children.”
    0:27:38 And I was expecting him, yeah, to laugh like he did and apologize and we would move on.
    0:27:43 But no, he doubled down and he was like, “Oh, no, Kim, I’m going to give you some research.
    0:27:45 It’s really not good for your kids.”
    0:27:47 And so now I know I need an “it” statement.
    0:27:51 And so I said, “Look, it is an HR violation for you to tell me that I’m neglecting my
    0:27:53 children by showing up at work.”
    0:27:54 And that had the desired impact.
    0:27:55 He stepped back.
    0:27:59 And then I was like, “Look, I’m not going to make a thing of this with HR, but I think
    0:28:00 we can agree.”
    0:28:02 So now I’m appealing to common sense.
    0:28:08 I think we can agree that it is my decision, together with my spouse, how we raise our
    0:28:09 kids.
    0:28:12 And it’s your decision, together with yours, how you raise yours.
    0:28:16 And furthermore, I’m guessing you don’t want to read my research any more than I want to
    0:28:17 read yours.
    0:28:21 So I think you could have said, “It is your job to trim your hedges, and it is my job
    0:28:27 to trim my hedges to the woman if she had doubled down.”
    0:28:28 But I’m sorry that happened.
    0:28:29 It’s infuriating.
    0:28:36 If you want the rest of the story, my father came and visited me about two weeks later,
    0:28:38 and I’m third generation Japanese-American.
    0:28:39 He’s second.
    0:28:42 He served in the U.S. Army, you know, all that kind of stuff.
    0:28:46 His generation, they were trying to prove they were more American than Americans, right?
    0:28:47 Yeah.
    0:28:52 And so I tell him this story, and I fully expect him to absolutely go off on this situation,
    0:28:53 right?
    0:28:57 Like, “How dare this woman ask you if you’re the yard man just because you’re Japanese?”
    0:29:02 But you went to Stanford, you work for Apple, you’ve written books, blah, blah, blah.
    0:29:07 And instead he says to me, “Japanese-American guy cutting a hedge on Union Street, most
    0:29:10 likely you were the yard man, so get over it.”
    0:29:12 Oh my gosh.
    0:29:13 Wow.
    0:29:14 I’m sorry.
    0:29:18 And then ever since that day, it’s taken a lot to offend me.
    0:29:22 I give people the benefit of the doubt and all that, but so anyways.
    0:29:26 Now you mentioned something in your answer, which I have to ask.
    0:29:30 Which is, you said several times, I’m going to go to HR, I’m going to tell them I’m not
    0:29:34 going to hire this woman with her hair or whatever, right?
    0:29:39 But I think that we need to explore this concept of going to HR.
    0:29:44 Because it seems to me that HR is not always the advocate of the employee.
    0:29:51 HR’s job could be to protect a company from getting a lawsuit, so they might try to talk
    0:29:55 you down or they might try to get you out of some kind of class action suit.
    0:29:58 So how do you know if you should go to HR?
    0:29:59 Yeah.
    0:30:03 It’s a really important question because I think HR, there’s sort of an agency problem.
    0:30:08 HR has three different constituents that it represents.
    0:30:12 HR represents the company and it’s supposed to not let the company get fired.
    0:30:20 HR represents the managers, often HR is like a coach to the most senior leaders at a company.
    0:30:24 And HR is supposed to represent the interest of the individuals.
    0:30:26 And that’s a pretty tough thing.
    0:30:29 In fact, it’s maybe impossible to resolve.
    0:30:35 So I think that before you ever go to HR, you want to understand how HR operates at your
    0:30:36 company.
    0:30:42 I think there’s a lot of cynicism out there and frankly, well-earned cynicism about HR.
    0:30:49 But I think that some of my greatest mentors, like Shona Brown, who led business operations,
    0:30:54 which included HR at Google, is one of my great mentors in life.
    0:30:59 And so there are some wonderful people out there who can resolve this agency problem
    0:31:03 and who will do the right thing, but very often they won’t do the right thing.
    0:31:09 If you read Susan Fowler’s blog post about what happened at Uber, you’ll see some horror
    0:31:15 stories about why HR was not doing the right thing at Uber.
    0:31:16 And it was interesting.
    0:31:20 I asked her later, I said, “Why did you keep going to HR?
    0:31:21 You knew that they weren’t going to help?”
    0:31:26 And she said, “It was really important part of building the record of what was going wrong
    0:31:27 was to prove.”
    0:31:32 But that’s a very different sort of mentality of going to HR than going to HR to really
    0:31:33 get them to help.
    0:31:40 I would also say about HR is that very often we overdelegate to HR.
    0:31:45 And that was why in the case of it’s an HR violation, I reassured this guy, “I’m not
    0:31:46 going to go to HR.
    0:31:51 We’re not going to get into this thing, but I want you to know where the boundaries are.”
    0:31:57 So I think that in an ideal world, HR can make it very clear or the company can make
    0:32:05 policies that are very clear, but it’s better if two people can work it out independently.
    0:32:11 And so in 2024, if you are sexually harassed at work, there’s two schools of thought.
    0:32:16 One is you go to HR or you sue or you do whatever.
    0:32:19 The other is you suck it up because they’re going to ruin your career.
    0:32:22 So where are you on this today?
    0:32:26 I think that the first thing you want to do if you get sexually harassed at work is you
    0:32:29 want to start to document what happened.
    0:32:36 Because even if you don’t think you’re going to file a lawsuit, because it’s so easy to
    0:32:43 feel gaslit in that situation, and when you document, you become more clear in your mind
    0:32:45 like what reality is.
    0:32:51 And then it’s also useful to form a contemporaneous record with your documentation.
    0:32:56 So send an email about what happened to a friend you trust and send it from a personal
    0:32:59 email on a personal device.
    0:33:01 So that’s number one.
    0:33:04 Number two is you want to build solidarity.
    0:33:11 There’s so much evidence that shows that when you have even one friend at work, one person
    0:33:16 you can really trust at work, you’re happier at work, you do better work at work.
    0:33:21 And those friends can also help you dispel the gaslighting and figure out what to do.
    0:33:26 And then last but not least, I would say locate the exit nearest you.
    0:33:31 Figure out what is the other job you could get, whose couch could you sleep on, look
    0:33:33 at your savings.
    0:33:37 And you not work for a while, because the next things I’m going to suggest that you
    0:33:41 do involve a negotiated agreement.
    0:33:46 And before you go into any negotiation, you want to know what your batna is, your best
    0:33:48 alternative to a negotiated agreement.
    0:33:52 So I recommend always doing those three things.
    0:33:55 And sometimes you’ll get bad advice, sometimes you’ll get good advice.
    0:34:01 I one time was in a situation where it wasn’t exactly sexual assault, but my boss bought
    0:34:06 me the tightest pair of jeans I ever wore and told me my pants weren’t tight enough.
    0:34:08 It was ridiculous.
    0:34:11 And so I went to tune that apple I hold.
    0:34:12 It was.
    0:34:13 No way.
    0:34:14 No way.
    0:34:22 And my only alternative was to go to Tim Cook, which I was not going to do like he had other
    0:34:23 things.
    0:34:27 Wait, let me put my pieces of my brain back into my skull.
    0:34:32 You’re telling me a top-level manager at Apple told you that?
    0:34:33 Yeah.
    0:34:35 And sent someone out to buy me these.
    0:34:36 No freaking way.
    0:34:37 That’s not possible.
    0:34:38 Yes, it is.
    0:34:40 And it wasn’t just the jeans.
    0:34:45 There was also like a shirt that if I wrote on the whiteboard would reveal my bra.
    0:34:47 It was ridiculous.
    0:34:52 And I think he really thought that he was doing me a favor because I’m not very fashionable
    0:34:58 and Google is like everybody was just wearing Google t-shirts and jeans and Apple wasn’t
    0:34:59 that way.
    0:35:03 I think he really thought he was doing me a favor, but I did not experience it that
    0:35:04 way.
    0:35:11 Anyway, I talked to two different mentors and one of them said Sue and the other said,
    0:35:13 don’t blow up your career.
    0:35:15 And it’s very interesting.
    0:35:19 I was telling this story later and I did not sue.
    0:35:24 I wasn’t going to, basically what I did was I did those three things.
    0:35:30 I documented what had happened and I talked to a mentor like it was Andy Grove who told
    0:35:34 me to sue Apple by the way, which I do not take that advice.
    0:35:35 There you go.
    0:35:36 Better and better.
    0:35:37 Okay.
    0:35:38 Yeah.
    0:35:39 It’s a good story.
    0:35:43 And it was somebody else who told me not to blow up my also famous, but prefers not
    0:35:44 to be quoted.
    0:35:49 Who told me not to blow up my career and I was telling the story later to Sarah Kuntz.
    0:35:53 And I was advising that don’t, you know, don’t lock the boat.
    0:35:58 And because the person who said, don’t blow up your career, that felt like the right advice.
    0:36:03 And Sarah Kuntz, who had gone public with a sexual harassment claim, looked at me and
    0:36:04 she said, look at me.
    0:36:08 Does it look like my career is blown up?
    0:36:11 I’m like, oh no, it doesn’t actually.
    0:36:15 And she said, the problem with you saying that Kim is that people will listen to you.
    0:36:19 And I was like, oh, I always thought the problem is that people wouldn’t listen to me, but
    0:36:21 I realized she was exactly right.
    0:36:26 So I’m not going to say sue or don’t sue, but if you do those first three things, then
    0:36:30 I recommend taking a few more steps before you get to suing.
    0:36:36 One is talk directly to the person in charge, the person who did this thing to you.
    0:36:41 If it feels like you’re not going to get sexually assaulted again or harassed again.
    0:36:44 So if it feels safe, and in this case, it felt safe.
    0:36:48 So I went to the boss who bought me the tight jeans and I told him I had quit.
    0:36:50 So it was super safe.
    0:36:53 And I explained to him exactly why.
    0:36:54 And he apologized.
    0:36:57 Like I think he knew he understood.
    0:37:00 And that was important to me because I was leaving people behind.
    0:37:03 And then the next thing you can do is you can consider going to HR.
    0:37:09 In this case, he was the head of HR, so I was killing two birds with one stone.
    0:37:10 No, no, no, no, no, no.
    0:37:16 You’re telling me the head of HR told you to buy tighter jeans and a tighter shirt.
    0:37:21 He didn’t just tell me he sent someone out and bought them for her first freaking way.
    0:37:22 You’re making this show.
    0:37:29 There is no way ridiculous things in every company every day.
    0:37:33 It’s funny when I was writing this book, radical respect, my husband was having responses
    0:37:35 like you as jaw was on the floor.
    0:37:40 He’s like, what? You don’t know, Andy, because you would never do this stuff and this stuff
    0:37:46 would never happen to you, but it happens.
    0:37:47 It was so funny.
    0:37:51 When I started writing this book, radical respect, I thought I’ve never really had,
    0:37:57 this is a sign of how deep in denial, I was like, I’ve never really had anything terrible
    0:37:59 happen to me in my career.
    0:38:03 So I’m going to have to go and interview a lot of people.
    0:38:07 And then when I started writing, I was like, holy shit, I have a story for every day of
    0:38:08 my whole career.
    0:38:13 So sometimes it could be a little useful to just keep moving forward, but I think at
    0:38:18 a certain point, like, denial is like dragging a ball and chain around with you.
    0:38:20 So it’s useful to acknowledge what’s happening.
    0:38:24 Okay, but we hadn’t got through all the steps about what to do.
    0:38:27 So talk to the person directly, unless you feel like you’re going to get physically
    0:38:29 assaulted again.
    0:38:32 You can talk to HR if you feel like that makes sense.
    0:38:39 You can also tell your story publicly and you can hire a lawyer if you’re so inclined.
    0:38:42 And for me, it was, it felt, it’s interesting.
    0:38:45 You can tell me whether you think I did the right thing or the wrong thing or what you
    0:38:46 would have done in that case.
    0:38:50 I just, I didn’t want to spend the time or the energy in a lawsuit.
    0:38:54 I just felt like a great soul sucking activity.
    0:39:00 And so I just got another job and in fact, I got a better job and I moved on and so that’s
    0:39:01 privileged right there.
    0:39:07 But the interesting thing is that I talked to a couple of other women who did sue and
    0:39:12 it was in fact, really hard and really soul sucking, but I feel that those women, I feel
    0:39:19 like they took one for the team almost because we should be able to rely on our legal system
    0:39:21 to address these things.
    0:39:26 Like this kind of stuff should not happen to people and I can laugh about it now, but
    0:39:28 I will tell you the truth.
    0:39:34 I did wear those tight jeans once and they gave me a stomach ache.
    0:39:36 I felt sick all day.
    0:39:40 It has an impact and then I never wore them again.
    0:39:47 I reverted to my preferred Levi’s 501s that are baggy a little bit, but I no longer felt
    0:39:48 like I belong.
    0:39:53 That was part of the reason why I left Apple was that experience because I just didn’t
    0:39:56 feel good after that.
    0:40:00 And so I can laugh it off now, but it actually wasn’t funny at the time.
    0:40:01 Wow.
    0:40:02 Yeah.
    0:40:03 There you go.
    0:40:06 We’re just going to have to drop the mic here for a while.
    0:40:07 Oh my God.
    0:40:10 And Apple is a great company.
    0:40:11 Apple is a great company.
    0:40:14 I love Apple and this will not happen to you if you take a job at Apple.
    0:40:18 I think everybody’s learned their lesson.
    0:40:19 Jesus.
    0:40:20 Holy cow.
    0:40:25 I think I’m speechless and Madison will tell you I am never speechless.
    0:40:27 Okay.
    0:40:29 Up next on Remarkable People.
    0:40:34 What about you just put people’s applications in and you let ChatGPT decide?
    0:40:38 I think that ChatGPT is not there yet.
    0:40:42 Google actually experimented with this quite a lot.
    0:40:46 It wasn’t ChatGPT obviously because it didn’t exist then, but they were always trying to
    0:40:53 automate the decision making and it wasn’t automatable, but what they did do that worked.
    0:40:59 They stripped personally identifiable information out of resumes, the people who were figuring
    0:41:04 out which resumes to move on to interview didn’t know the person’s identity.
    0:41:07 They didn’t know their name and that was hard.
    0:41:12 It was time consuming.
    0:41:16 Become a little more remarkable with each episode of Remarkable People.
    0:41:22 It’s found on Apple Podcasts or wherever you listen to your favorite shows.
    0:41:27 Welcome back to Remarkable People with Guy Kawasaki.
    0:41:32 At one level, I just want to ask you, and you also tell the story about how somebody
    0:41:37 came up to you, some male executive at some conference and asked you to find a safety
    0:41:40 pin to pin his shirt or something like that.
    0:41:42 How do men get to that position?
    0:41:46 What makes them so stupid and such assholes?
    0:41:47 What?
    0:41:49 Trace for me the genealogy of that.
    0:41:53 So I want to say men are not stupid and they’re not assholes.
    0:41:59 I don’t want to recreate the same, but that would be a highly prejudicial statement.
    0:42:03 The vast majority of men I’ve worked with in my career have been fantastic and one of
    0:42:09 the reasons I wrote Radical Respect is an homage to all the great upstanders in my career
    0:42:11 who helped me when I was in these bad situations.
    0:42:12 So why would this happen?
    0:42:19 Why would a guy assume that, and it was funny, like at this conference, the conference organizers
    0:42:25 knew that this was a risk because it was a conference for CEOs of tech companies.
    0:42:30 So it was very male dominated, but they had to their credit, like been conscious about
    0:42:37 inviting as many women CEOs as they could find and also inviting speakers who are women.
    0:42:41 So Condoleezza Rice was there, I was there, and a lot of the people who were working the
    0:42:45 conference were young women and they had given them these bright yellow t-shirts.
    0:42:49 So they were easily identifiable.
    0:42:55 And I was 30 years older and not wearing a yellow t-shirt.
    0:42:56 But were your jeans tight?
    0:42:59 No, they were not.
    0:43:01 They were my preferred baggy Levi’s.
    0:43:07 I now won’t wear any other pants other than my Levi’s 501s as a result of that experience.
    0:43:10 We’re going to sell a sponsorship for this episode.
    0:43:11 Yeah, Levi’s.
    0:43:16 Levi’s, thank you for your impregnable inseam and your nice fitting jeans.
    0:43:21 Anyway, so I was wearing my jeans, this orange sweater, which I always wear, and I was much
    0:43:23 older, so I didn’t look anything.
    0:43:28 But this guy assumed because all he could notice was my gender and his need.
    0:43:36 And so this guy probably had gone through his whole career surrounded by women who were
    0:43:38 there to fulfill his needs.
    0:43:43 And given the situation that he was in, I think that is what did it.
    0:43:48 There’s a great book by Naomi Alderman called “The Power.”
    0:43:52 And it’s a science fiction book, and in this book there’s some sort of chemical that gave
    0:43:57 women, but not men, the ability to shoot electricity from their fingertips.
    0:44:01 So now women are physically stronger than men, even though they’re not bigger.
    0:44:07 And in this book, when women get this power, they start doing all these same kinds of things.
    0:44:09 And so I don’t think the problem is men.
    0:44:12 I think the problem is power and a power imbalance.
    0:44:13 Okay.
    0:44:15 And so a lot of, go ahead.
    0:44:17 But I want you to go further back.
    0:44:21 Did their parents raise these people to have these kind of beliefs?
    0:44:26 What happened that some of these men have this kind of attitude?
    0:44:33 I think probably what happened was like, I want to honor all stay-at-home moms.
    0:44:40 I was raised by a mom who dedicated herself to raising me.
    0:44:47 But I think that if your closest female role model was there, always to serve you.
    0:44:52 And then you went into a career where, like he was in tech.
    0:44:57 So he was surrounded by men almost all the time.
    0:45:04 There are very few instances where you have women at the very top of these tech companies.
    0:45:06 And a series of assumptions get made.
    0:45:07 I’ll give you another example.
    0:45:15 I was coaching a CEO, and he had no women on his team and of his director, CEO of Big
    0:45:16 Tech Company.
    0:45:22 And to his credit, he assumed that the problem was their promotion process, not the women
    0:45:25 at the company that nobody was getting promoted to that level.
    0:45:26 And so he hired me.
    0:45:32 He paid me to sit in on the promotion meeting and to notice, to see if I noticed anything
    0:45:33 going wrong.
    0:45:35 Because he said, look, we’re all men.
    0:45:36 We probably won’t notice.
    0:45:42 And there were two people up for promotion, a man and a woman, and they both had achieved
    0:45:43 incredible results.
    0:45:44 They were both sales leaders.
    0:45:49 They had both built great teams and loved them.
    0:45:50 They were both great leaders.
    0:45:53 And they referred to the man as a great leader.
    0:45:58 And then when they started talking about the woman, one person said, she’s a real mother
    0:45:59 hen.
    0:46:01 And I was like, all right, back the drain up.
    0:46:05 And they’re like, oh, Kim, we didn’t mean it.
    0:46:06 It’s no big deal.
    0:46:07 And I’m like, get real.
    0:46:12 Who are you going to promote, the real leader or the real mother hen?
    0:46:17 And so I think a lot of this stuff, this is why you can’t really over delegate to HR.
    0:46:23 A lot of this stuff is subtle and the law is not going to sort it out and HR is not going
    0:46:24 to sort it out.
    0:46:28 We got to get together as human beings and sort this stuff out.
    0:46:32 Because one of the things I talk about in radical respect is like designing your management
    0:46:39 systems to be fair, to really promote, hire and promote the right people.
    0:46:43 Because if you don’t consciously design your management systems that way, you’re going
    0:46:45 to get systemic injustice.
    0:46:50 You just are because unconscious bias becomes unconscious discrimination unless you take
    0:46:54 steps like that CEO did to block it, to prevent that from happening.
    0:46:55 Okay.
    0:46:59 So what are these design paradigms to prevent this systemically?
    0:47:00 Yeah.
    0:47:04 So I think there’s two big things and then there’s a million little things.
    0:47:10 But the two big things are make sure you have checks and balances in your management systems.
    0:47:17 Don’t give any one person unilateral decision making over who gets hired, who gets fired,
    0:47:18 create a process.
    0:47:21 This is one of the things I learned at Google.
    0:47:29 Shona Brown, who designed a lot of the management processes at Google, had a firm belief that
    0:47:35 for important decisions, teams make better decisions than individuals, especially decisions
    0:47:39 about who are we going to hire, who are we going to promote, who are we going to fire,
    0:47:40 how much are we going to pay.
    0:47:46 And so she systematically stripped unilateral decision making authority away from managers
    0:47:49 over those decisions.
    0:47:50 And at first when I got there, it was very frustrating.
    0:47:55 I was like, you hired me because I’ve been CEO of my own company and let me go.
    0:48:01 But I learned actually that when I went with these processes that had been designed and
    0:48:07 they weren’t super heavyweight, they didn’t take a lot of extra time, but they did insist
    0:48:11 that I get input from other people that we made better decisions.
    0:48:15 And so it was both better for the business, but it was also a little bit more fair.
    0:48:20 And I’m not saying that Google was some paragon of gender equality.
    0:48:25 It was not, but it was one of the best places I ever worked in that regard.
    0:48:30 So you want checks and balances, and you also want to measure what matters.
    0:48:36 You want to quantify your bias in every step of the employee life cycle.
    0:48:40 And when you identify bias, you want to figure out how to strip it out.
    0:48:45 So like a simple example of that happening was in orchestras.
    0:48:51 In the 70s, orchestras were like 85, 90% men.
    0:48:57 And they decided that this was probably not because men were better musicians than women,
    0:49:00 but because there was something about the auditioning process.
    0:49:06 There’s a famous story where they started putting a curtain up so you couldn’t see.
    0:49:09 But it didn’t change, and they figured out, but they didn’t give up.
    0:49:13 They didn’t say, “Oh, see, men just must be better musicians.”
    0:49:17 They realized that what was happening is that women were wearing high-heeled shoes.
    0:49:21 So people still, despite the curtain, people still knew when it was a woman or a man.
    0:49:25 So they made the musicians take their shoes off when they walked out.
    0:49:28 And now orchestras are 50/50.
    0:49:34 And so you’ve got to do the work to really understand where is the bias creeping in,
    0:49:37 why is the bias creeping in, and how can we get it out.
    0:49:41 And the goal is to make better, better decisions.
    0:49:46 I am not being hypothetical here, but what about you just put people’s applications in
    0:49:51 and you let ChatGPT decide?
    0:49:55 I think that ChatGPT is not there yet.
    0:49:58 Google actually experimented with this quite a lot.
    0:50:01 It wasn’t ChatGPT, obviously, because it didn’t exist then.
    0:50:05 But they were always trying to automate the decision making.
    0:50:06 And it wasn’t automatable.
    0:50:14 But what they did do that worked was, first of all, they stripped personally identifiable
    0:50:19 information out of resumes.
    0:50:25 And so the people who were figuring out which resumes to move on to interview didn’t know
    0:50:26 the person’s identity.
    0:50:28 They didn’t know their name.
    0:50:29 And that was hard.
    0:50:30 It was time-consuming.
    0:50:32 But anyway, that helped.
    0:50:39 And then the other thing they did was there was just a skills test.
    0:50:45 And if you passed the skills test, then you went on to an interview with the person to
    0:50:46 see if you would work well.
    0:50:48 And they were very careful–
    0:50:51 Kahneman talks about this and thinking fast and slow.
    0:50:56 If you’re going to interview people, be explicit about the things that you’re interviewing
    0:50:58 for.
    0:51:00 And Google made a big mistake, I think.
    0:51:07 One of the qualities that you were supposed to be interviewing for was googliness.
    0:51:09 And so that was not very well-defined.
    0:51:14 And that became like the superhighway for people’s biases.
    0:51:21 One of the things that I have recommended is that you– and this you could use ChatGPT
    0:51:23 for, I think, actually.
    0:51:28 But I recommended when I wrote the book, because when I wrote it, ChatGPT was not at that level
    0:51:30 that it could do it.
    0:51:32 But I recommended hiring a grad student.
    0:51:38 But to read interview feedback, to read promotion feedback, and identify biased language in
    0:51:44 the feedback and flag it, Textio, a great company will do this for you, actually.
    0:51:47 And you want to be careful about how you roll that out.
    0:51:53 But for example, Karen Snyder, who started Textio, wrote this article called The Abrasive
    0:51:54 Problem.
    0:52:00 And it turns out in performance reviews– and she analyzed hundreds of performance reviews.
    0:52:04 Men, sure, he’s aggressive, but he has to be to get the job done.
    0:52:05 Let’s promote him.
    0:52:09 And then this woman who’s exhibiting the same behavior, she’s abrasive.
    0:52:11 And so let’s not promote her.
    0:52:16 And so that kind of language can have a big impact on people’s careers.
    0:52:20 And those are the kinds of things you want to address in your management system.
    0:52:23 So make sure that you’re not skewing things in a way that’s unreasonable.
    0:52:24 OK.
    0:52:31 Now, it seems to me that– not that I want to show my bias too much.
    0:52:38 But it seems to me that the current Republican Party and its lead candidates have set back
    0:52:41 radical respect about 50 years.
    0:52:47 I mean, here’s the role model that’s the antithesis of what you’ve described.
    0:52:49 So what happens now?
    0:52:58 I think that in our culture, there’s this notion that’s very profound, that bullying
    0:53:05 or even harassing or even physically violent behavior is a leadership attribute.
    0:53:08 And I’m just going to say, it is not a leadership attribute.
    0:53:10 But we’ve got to undo this notion.
    0:53:14 And I think it actually begins in school.
    0:53:17 What do you get told if you get bullied in school?
    0:53:18 Ignore them.
    0:53:24 No, it is the responsibility of leadership to create consequences for bullying behavior.
    0:53:29 But leaders can’t do it alone because very often the leader is the bully.
    0:53:35 It’s also the responsibility of upstanders to intervene in that kind of behavior.
    0:53:39 So I think if we can learn to create– and we can’t just do it with one person.
    0:53:41 It’s got to be a general thing.
    0:53:47 We’ve got to learn how to create conversational consequences for bullying behavior to stop
    0:53:49 it in its tracks.
    0:53:55 We’ve got to learn how to create compensation consequences for bullying behavior.
    0:54:01 At Lassie and the software company has a no brilliant jerks rule.
    0:54:06 And if you bully your peers, you cannot get a bonus.
    0:54:08 You cannot get a good rating there.
    0:54:10 And I think that is really important.
    0:54:15 And last but not least, there have to be career consequences for bullying behavior.
    0:54:20 And that means don’t promote a bully.
    0:54:22 Too often they do get promoted.
    0:54:27 And when the jerks begin to win, that’s when the culture of the company begins to lose.
    0:54:33 And so what you want to do is you want to make sure that you’re giving feedback to people
    0:54:35 on your team who bully others.
    0:54:37 And if they can’t stop it, you’ve got to fire them.
    0:54:42 I think in the immortal words of Steve Jobs, it’s better to have a hold in an asshole.
    0:54:46 Although I don’t think that’s quite how he meant that.
    0:54:53 In this fictitious world that I’m about to craft, let’s say, God, I wouldn’t even know
    0:54:55 who would make the call or do it.
    0:55:05 But let’s say that somebody empowers you to consult to today’s Republican party.
    0:55:07 And says, oh, we have some problems here.
    0:55:13 Like Matt Gates is saying that the only women who care about abortion rights are the fat
    0:55:17 ones that look like thumbs and they’re the least likely to get pregnant.
    0:55:22 And you know, I think I would categorize that as bullying.
    0:55:28 What do you do when an entire organization seems to be infested like this?
    0:55:34 Yeah, I think until you start to define what’s acceptable behavior and what’s not acceptable
    0:55:40 behavior and to create consequences for it, I think you would have to be willing to remove
    0:55:44 these people from their positions of power for behaving this way.
    0:55:48 And I wouldn’t take that job, I think, because I don’t think that’s going to happen.
    0:55:52 I think we are going to have to make this happen.
    0:55:56 Creating a better world is going to be a real barn raising.
    0:55:59 And I think we’re going to have to demand it as a society.
    0:56:07 Not seriously, like Kim, it seems like roughly 49% of the registered voters in America, they
    0:56:11 hear a candidate say, no, I can go around and grab women by, you know what?
    0:56:12 Yeah, yeah.
    0:56:13 Nothing happens.
    0:56:18 In fact, it has no sort of consequence on its electability.
    0:56:20 How do you even wrap your head around that?
    0:56:22 This is not like an outlier.
    0:56:24 Yeah, it is not.
    0:56:29 That’s why I said it’s very profound in our society and we got to take this seriously
    0:56:35 in our personal lives and in the situations that we’re closest to, we got to deal with
    0:56:36 it.
    0:56:44 I will say that I think part of the reason, the TLDR is, I don’t know, it baffles me.
    0:56:51 But I grew up in Memphis and a lot of the people who taught me about how to be a good
    0:56:57 person are supporters of this guy who said, grab them by the, you know what?
    0:57:00 And that is upsetting and bewildering to me.
    0:57:06 But I will say, at the same time, I think, when Trump won the first time, I went back
    0:57:13 home and I was behind a car and there was a bumper sticker on the car and the bumper
    0:57:22 sticker said, my kid beat your honor roll students ass.
    0:57:31 And I feel like the sort of intellectual elitism that has pervaded the Democratic Party is
    0:57:32 part of the problem.
    0:57:38 To me, that bumper sticker was the best explanation I had for what was going on.
    0:57:43 And so that bumper sticker combined with what I’ll call the 1% problem.
    0:57:45 And so I think we got to do better.
    0:57:49 We need to be more respectful.
    0:57:50 We need to share our stuff.
    0:57:53 We need to share the money a little better than we’re doing.
    0:57:59 I can’t say it was a similar discussion, but on a similar vein, I once interviewed
    0:58:05 someone who was the CEO of Fuller Seminary and I asked him, so how do you explain evangelical
    0:58:06 Christians now?
    0:58:12 They’re supporting Trump, they’re supporting what seems to me just the opposite of what
    0:58:18 the gospels of Jesus Christ are, and he said, you know, guy, when you encounter a person
    0:58:21 like that, do not ask them what they believe.
    0:58:24 Do not ask them why they believe it.
    0:58:31 You ask them how they came to believe that because by asking them how you might gain
    0:58:36 insight into what led them to thinking like that, and you might have greater understanding
    0:58:38 of what the problem is.
    0:58:39 Yes.
    0:58:42 I think that’s very, that is wise advice.
    0:58:44 Now ask me if I’ve taken his advice.
    0:58:45 Yeah.
    0:58:52 I will say I grew up, I had an enormous faith and my faith was totally destroyed by my Bible
    0:58:58 teacher who was an evangelical and my class was about a third Jewish and I was raised
    0:59:01 as a Christian scientist, so I never got baptized.
    0:59:06 And this Bible teacher came in, I was in fifth grade, so we’re 10, 11-year-old kids.
    0:59:11 And she came in and she said, all of y’all who haven’t been baptized are going to hell.
    0:59:17 And I was like, what, like where’s the love that made me question a lot of things.
    0:59:18 And I never did.
    0:59:22 I wish I could go back to her now and say, what were you thinking?
    0:59:24 How did you come to that conclusion?
    0:59:25 Wow.
    0:59:26 Yeah.
    0:59:30 We’ve ranged on a lot of stuff and neither one of us were expecting to talk about.
    0:59:35 I got to tell you, I’m still suffering PTSD, but fighting out someone at Apple at a high
    0:59:38 level to buy you tight jeans and a tight shirt.
    0:59:40 I just cannot even wrap my mind around that.
    0:59:43 I might have to switch to Windows and Android after today.
    0:59:44 No, no, no, no, no.
    0:59:46 We love Apple.
    0:59:50 People join companies and they lead managers.
    0:59:51 I love that.
    0:59:53 That’s better a hole than an asshole.
    0:59:58 I’m going to print bumper stickers like that so that women driving around, you’re going
    1:00:03 to see that among this car and say, I finally found something that explains what’s happening
    1:00:04 here.
    1:00:05 Okay.
    1:00:06 Listen.
    1:00:07 So I think we covered enough.
    1:00:08 My head is exploding.
    1:00:13 I’m getting a headache and I’m putting the brains back in my skull, but I would like
    1:00:20 you to just summarize radical respect in a nutshell.
    1:00:22 What do people get from reading your book?
    1:00:27 The thing that you will get from reading this book is you’ll figure out how to build a culture
    1:00:35 and how to build a career that optimizes for collaboration and that honors your own and
    1:00:37 everyone else’s individuality.
    1:00:41 And so you’ll do the best work of your life and you’ll build the best relationships of
    1:00:42 your career.
    1:00:43 Wow.
    1:00:44 There you go.
    1:00:45 A small problem.
    1:00:47 Way to undersell your book.
    1:00:48 Read this book.
    1:00:59 I don’t know about you, but I’m not entirely convinced that she doesn’t work for the CIA.
    1:01:07 But put that aside because if she does, she certainly has a great cover because she is
    1:01:12 clearly an expert in radical candor and radical respect.
    1:01:18 So I hope you learned about bias and prejudice and bullying and you fight those three things
    1:01:25 in this world because we need to get along better and collaborate and make life better
    1:01:26 for all of us.
    1:01:28 I’m Guy Kawasaki.
    1:01:31 This is Remarkable People.
    1:01:34 Let me thank the Remarkable People team.
    1:01:36 First, there is Madison Nizner.
    1:01:41 She’s the producer and co-author of the book that you need to read.
    1:01:44 It’s called Think Remarkable.
    1:01:50 Then there’s Tessa Nizmer, who does the background research and transcript perfection for us.
    1:01:56 Also, there’s Louise Magana, Fallon Yates, and Alexis Nishimura.
    1:01:59 Special thanks to Angela Duckworth.
    1:02:05 Angela Duckworth is the person who told me you should have Kim Scott on your podcast.
    1:02:07 And of course, Angela was right.
    1:02:10 You may start to recognize a pattern.
    1:02:15 When Angela Duckworth or Katie Milchman tell me to do something, whether it’s for this
    1:02:25 podcast or my books, I just do it because Angela and Katie, they’re always right.
    1:02:27 Until next time, be Remarkable.
    1:02:33 Mahalo and Aloha.
    1:02:35 This is Remarkable People.

    In this episode of Remarkable People, join host Guy Kawasaki as he engages in a thought-provoking conversation with Kim Scott, author of the bestsellers “Radical Respect” and “Radical Candor”. Together, they explore the importance of building collaborative cultures where everyone can do their best work. Kim shares her framework for creating environments that optimize for collaboration and honor individuality. Discover how you can apply these principles to your own career and relationships to achieve remarkable results. Along the way, Scott also shares fascinating stories from her diverse background – from starting a diamond-cutting factory in Moscow to coaching executives at top tech companies.

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable. 

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People. 

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable. 

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology 

    Listen to Remarkable People here: https://podcasts.apple.com/us/podcast/guy-kawasakis-remarkable-people/id1483081827 

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  • Marylène Delbourg-Delphis: A Pioneer’s Perspective on the Innovation Journey

    AI transcript
    0:00:10 I’m Guy Kawasaki.
    0:00:14 Well, maybe for this episode I should be Guy Kawasaki.
    0:00:17 But I’m Guy Kawasaki and this is Remarkable People.
    0:00:21 We’re on a mission to make you remarkable.
    0:00:24 Helping me in this episode is a very close friend.
    0:00:31 Maherlène Delborg-Delphis. She is a serial technology CEO, executive consultant, and
    0:00:38 board member. For over 30 years she has empowered organizations to reshape their future by creating
    0:00:41 breakthrough platforms and applications.
    0:00:47 Maherlène started her entrepreneurial journey in France. She founded a company called ACI.
    0:00:55 She published the first relational database for Macintosh in 1985. In 1987, she became
    0:01:01 one of the first European women to establish a tech company in Silicon Valley. I was co-founder
    0:01:03 with her of this company.
    0:01:09 She was also, by the way, instrumental in my writing career by encouraging me to write
    0:01:13 the Macintosh Way, my very first book.
    0:01:18 Maherlène holds a doctorate in philosophy from, and I’m going to let her say the name
    0:01:23 of the school because I will never get that pronunciation right.
    0:01:29 So you’re going to listen to her pronounce the school right now.
    0:01:35 She was rewarded the French Legion of Honor in 2018, the highest order of merit for military
    0:01:37 and civil accomplishments.
    0:01:43 Maherlène has served as CEO for companies such as exemplary software, BRICS Logic, and
    0:01:49 Talent Circles. In addition to these achievements, Maherlène has written a new book. It’s called
    0:01:56 Beyond Eureka, The Rocky Roads to Innovating. It’s a remarkably executed explanation of
    0:02:01 innovation and entrepreneurship. I had the honor of writing the Ford for this book.
    0:02:08 I’m Guy Kawasaki. This is Remarkable People, and now here is the remarkable Maherlène
    0:02:14 Del Borde Del Fice.
    0:02:18 What is the French Legion of Honor Award?
    0:02:24 The French Legion of Honor is the highest civil and military honor that you can deserve
    0:02:35 for your outstanding action of what you have done. So it was created by Napoleon, I think.
    0:02:39 So it’s for Remarkable People.
    0:02:42 And how does one win that award?
    0:02:50 You are nominated by people, and actually I don’t really know how it came to me. I think
    0:02:57 I was nominated by one of the French consul, Pierre-François Mauret, who used to be a
    0:03:05 consul, a remarkable consul in San Francisco. And he came from the same school as I was,
    0:03:12 L’École Normale Supérieure. And he’s a phenomenal Latinist, by the way.
    0:03:17 And after you win this award, what happens? I mean, when you fly into Charles de Gaulle,
    0:03:20 they just walk you through customs, or what happens?
    0:03:27 No, nothing happens. It’s really a personal honor. It’s not a stage. It’s a prestigious,
    0:03:32 but low-key honor. And you don’t strut around and say, “Hey, I’m a member of the Legion
    0:03:39 of Honor,” and whatnot. No, you don’t do that. It’s very private, in a way. It’s both very
    0:03:46 public, because you are the list of people who have been honored. But it’s not something
    0:03:50 that you shout about that much.
    0:03:51 Oh, okay.
    0:03:53 So, I’m so surprised you asked this question.
    0:03:57 Well, I’m curious. Obviously, I could Google it, but I want to know from somebody who actually
    0:04:02 won it. On this podcast, we’ve interviewed a couple people who have won the MacArthur
    0:04:07 Fellowship, Angela Duckworth and Stephen Wolfram. So, I asked them what that like, too. And
    0:04:11 then we actually interviewed the woman who used to run that program to find out how it
    0:04:12 works.
    0:04:18 It’s in a way similar. And these people don’t go around saying, “Hey, here I am,” and so
    0:04:19 forth.
    0:04:23 When you receive an award, the secret is being very humble.
    0:04:28 I’m waiting for the MacArthur Fellowship for podcasting. So, that’s my goal in life.
    0:04:30 But you have to be nominated.
    0:04:37 All right. So, more on target for what you really want to talk about. Right. So, let’s
    0:04:39 start with an easy question.
    0:04:44 I want you to describe Was an inventor or an innovator?
    0:04:55 I think he was first an inventor and he became an innovator. The difference is that when
    0:05:03 you focus on the invention, you focus on the how-to. When you speak of innovation, you
    0:05:12 make sure that you insert your invention into a context, a social background, into a market.
    0:05:19 And I think that Was has this double characteristic. He has this double talent because he was an
    0:05:27 amazing engineer. That’s true. But he also understood that he was going to have users.
    0:05:32 So he was probably helped by Steve Jobs to understand that a market is very important.
    0:05:39 You have to live to survive. It’s not enough to do a great product. You have to stage it.
    0:05:46 And so, I think that the duo, Was and Steve Jobs was pretty amazing. But I think that
    0:05:54 Was learned what an innovator was thanks to, through capillarity, basically, through his
    0:05:59 relationship with Steve Jobs. This is the way I perceive it. I hope I’m right.
    0:06:05 And you would say Steve was innovator, purely an innovator, not an inventor.
    0:06:12 Yes. I think that usually people speak of inventor or invention because it sounds more
    0:06:20 prestigious. It used to, at least. In reality, an innovator is, I believe, more incredible
    0:06:27 than an inventor. An inventor focused on one domain. And somebody like Steve Jobs was
    0:06:36 able to aggregate several domains and basically used the world as a big store of possibilities.
    0:06:43 And so, he was able to dramatize, sometimes I say, theatricalize, what was around him.
    0:06:51 And he is a phenomenal innovator. So, of course, he had patents over 400. But he didn’t write
    0:06:58 those patents himself, okay? And it’s still prestigious to have patents. But he is an
    0:07:04 amazing innovator. Now, does it make sense to you? You knew him better than I did.
    0:07:10 Not necessarily. I think the world is full of people who think they knew Steve Jobs.
    0:07:17 And they didn’t. You knew it better than most. For better, for worse, than you did.
    0:07:23 I was inside the reality distortion field, so it’s not clear that I knew what I was
    0:07:30 seeing. Yes, but you know what? I think you’re right. You were inside the reality distortion
    0:07:39 field. But this is also how innovation operates. You have to believe that the world will bend
    0:07:47 to your will to actually do stuff. And it doesn’t necessarily happen. And you then have
    0:07:53 to adjust to the world. But you have to be in a sort of reality distortion field. It
    0:08:01 may not reach the dimensions that Steve Jobs gave to this, okay? But you have to somehow.
    0:08:07 So aren’t you saying in a sense that innovators, they’re on the spectrum or they’re on some
    0:08:19 in a way? Yeah, I wouldn’t be that excessive, but they have to be very realistic, but move
    0:08:24 away from reality a little bit, because they have to come back to reality, okay? Because
    0:08:31 otherwise people are not going to buy their stuff. Okay. So it’s a very strange dance
    0:08:40 between reality and reality. Now, it seems to me that you use the term innovator and
    0:08:48 entrepreneur interchangeably. And I was actually surprised at that because I think you can
    0:08:56 be an entrepreneur and not particularly innovative. So why do you use them interchangeably?
    0:09:01 This is what I mentioned in the beginning of the book, okay? And I, given that it’s
    0:09:08 about innovation, I assume that I was speaking of innovative entrepreneurs only because you
    0:09:14 are right. You can be an entrepreneur and you don’t necessarily innovate. When you create
    0:09:21 a pizza in your neighborhood, you don’t necessarily innovate. So in practice, given that the word
    0:09:28 entrepreneur is more often used than the word innovator, so I use them interchangeably. But
    0:09:34 in the beginning of the book, I put a caveat, meaning why do I use entrepreneurs innovator?
    0:09:41 And do you think that every innovator is an entrepreneur? I mean, by definition, because
    0:09:47 you’re not just an inventor, you’re also trying to take it to the market and make it a product
    0:09:55 or a service that exists and is sold and used. So that’s when you cross the line between invention
    0:10:01 and innovation slash entrepreneurship. Yes, most innovators try to be entrepreneurs, try to build
    0:10:09 a company. It doesn’t mean that we’ll necessarily succeed because when you innovate, you believe
    0:10:17 that you have a market. But how well do you evaluate the ability to have this market?
    0:10:26 Because you assume that people will need it. You assume that people will expect you. And for most
    0:10:34 innovators, actually, customers don’t expect us or they find out about us when we are almost dead.
    0:10:43 That’s think of general magic. Innovators are entrepreneurs, always. Because they want to
    0:10:50 push something on the market. The reality is that between what we hope that people will adopt,
    0:10:59 and the fact that they will adopt it, there can be a huge gap. And there can be a long time.
    0:11:08 So general magic was a very innovative enterprise and built by extraordinary people.
    0:11:14 The market was not ready. Some aspect of the technology was not completely mature.
    0:11:22 And at the time they were getting it almost, it was too late. So that’s why I would say that these
    0:11:31 innovators who fail but have done amazing things are trailblazers. Usually we speak of trailblazers
    0:11:38 as the iconic figures, like the Steve Jobs and company. For me, all these people who clean the
    0:11:49 brushes and build up the possibilities of more technologies and build up the path for others
    0:11:55 are trailblazers. In reality, there are four more trailblazers in history than we believe.
    0:12:04 All the people who created the PDAs and basically none survived, there are extraordinary trailblazers.
    0:12:12 And you don’t need to be famous or to be remembered by history to be looked at as a trailblazer.
    0:12:19 I would say that many of the big icons that we know are incredibly bright trail followers.
    0:12:30 They follow what others have gone and they come at the right moment. They stage it the right way
    0:12:37 so that people will be able to absorb them. So I always want to say to entrepreneurs, innovators,
    0:12:44 that even if they fail, even if their company doesn’t survive, they probably have done
    0:12:56 major things that people will leverage. So all the PDAs entrepreneurs basically paved the way for
    0:13:06 things like the iPhone. Can’t you make the case then that being a trail follower or a fast trail
    0:13:14 follower is a better strategy than being a trailblazer? We can make this case but the trail followers
    0:13:22 arrive when there is enough invention and innovation within the domain when the domain has
    0:13:30 reached a level of maturity. So the trail followers who are geniuses, don’t get me wrong, trail followers
    0:13:38 are geniuses who understand who are able to aggregate all the components of a very large
    0:13:48 landscape. For example, Edison is a genius. He’s also leveraging lots of research on electricity
    0:13:59 that had been happening for I would say 60 years. He integrated this into a hall and make it a city
    0:14:06 light. The same with Bell, okay? Graham Bell. He did not invent the telephone but he put together
    0:14:12 all the pieces of the telephone and make it happen in a context where people could adopt it.
    0:14:20 By that line of reasoning, you would say that Alan Kay and Doug Engelbart were the trailblazers
    0:14:26 and Steve Jobs was the trail follower, right? He took the thoughts of Xerox Park and he actually
    0:14:32 brought it to market. So are you saying Steve Jobs is a trail follower? Yes. But I don’t like
    0:14:37 the word trail follower. It doesn’t sound as prestigious, right? It’s not like the French
    0:14:44 Legion of Honor, no. Again, no. I rely upon you to find a good word. That’s why I didn’t use the
    0:14:51 expression trail follower on my book. Those geniuses have a sense of dramaturgy. They are
    0:14:59 stage directors. Maybe instead of trail follower, we should say trail director, okay? Multi-trail
    0:15:08 director. I trust you will find a phenomenal word for trail follower. But my point really is
    0:15:16 to render homage to the countless trailblazers. And the same with the pioneers. The pioneers
    0:15:23 were the soldier who would go first on the front and they opened up the rest for the army,
    0:15:30 the space for the army. So I would like the world trailblazers and pioneers to be
    0:15:48 of a wider use than what it is and encompass more people. I’m sorry.
    0:15:54 How would you judge Elon Musk? He is a phenomenal stage director.
    0:16:04 And he put together lots of trends, just like Tim’s jobs, okay? He has not invented electric
    0:16:10 vehicle or self-driving vehicles. The idea, the dream for self driverless vehicles started
    0:16:16 with the advent of automobiles. But the technologies were not ready. And so at a given time,
    0:16:26 things seems to come together. And the genius of these people is to see this happening
    0:16:35 and call us things which were disparate, kind of scattered around. Maybe we should say trailblazers
    0:16:44 and geniuses. Okay. I’d love to hear your opinion of the value and what people can learn from
    0:16:51 Walter Isaacson’s and various other people’s biographies of a Steve Jobs or an Elon Musk.
    0:16:55 What is there to learn from a biography from those kind of people?
    0:17:01 For very good biographies, I have not read the Elon Musk biography, so I kind of speak, but I
    0:17:08 have read the biography of Steve Jobs. What I like about biographies is that they are not
    0:17:17 hagiographic narratives. There is always a kind of sympathy for the person you speak about. But
    0:17:26 they usually explain more of the ups and downs of the career. Most of the time in business courses,
    0:17:33 you give these geniuses as the example to follow. Without taking into account that
    0:17:43 their path has been soonerous, complicated, and that in many respects, they have been lucky to.
    0:17:52 They also have been unlucky. And so what I like about biographies, it tells the story of the
    0:18:02 life of people and reintegrate genius within the vagaries of life with the minimal hagiographic
    0:18:10 aspect. And so I prefer also older biographies done by people who are not part of the business
    0:18:17 world. I love the biographies of Kodak. That’s why I selected Kodak, because he was recounting
    0:18:26 the ups and downs of Kodak of George Eastman in a very factual, matter of fact, fashion.
    0:18:33 Well, let me ask you something. So what do you think of books like Burn by Kara Swisher,
    0:18:37 because she’s part of the industry and she’s writing about the industry?
    0:18:44 This is the way, I have only started it, so I cannot speak in detail. This is the way she felt.
    0:18:54 So I think it’s a testimony of how she perceived the world around her. And for this, I like this
    0:19:02 approach. We may think, we may have opinions about how she perceives that, how she describes it,
    0:19:09 but this is how she felt. And this by itself has value. And on top of this, she is a woman.
    0:19:15 And things may reverberate in her mind slightly differently.
    0:19:21 I would put that that’s mildly, yes, slightly differently, yes.
    0:19:26 Okay, no, we have to respect these kind of initiatives.
    0:19:33 When I read a book, I try to understand the mindset of the people who read the book.
    0:19:39 And when I disagree, I tend to give them the benefit of the doubt.
    0:19:45 Dare I ask, since you read Think Remarkable, what do you think our mindset was?
    0:19:51 Oh, this is really a book I love. Do you know that?
    0:19:57 And I like it because it’s a summary of our life. It’s your perception of the world.
    0:20:09 It’s actually not judgmental. And it’s trying to help people build their own personality
    0:20:16 and put it together. And so that we are actually very diverse. We are a multiplicity of people.
    0:20:24 I really like this book. And it’s so much better than any self-help book because it’s not normative.
    0:20:27 I don’t know what normative means in that sense.
    0:20:33 You’re not telling people you should do this, you should do that.
    0:20:41 You show them example of people who have done this and that. And then it’s up to us to say,
    0:20:47 oh, maybe I could do this too. Okay. So from now on, when people tell me,
    0:20:51 ask me to describe the book, I’m going to say it’s not normative and I’m going to hope they
    0:20:57 understand what I just said. Okay, come on. You are too hard on me. Okay. But this is an English
    0:21:08 word, right? I don’t know. You don’t, okay. So you don’t give absolute norms. You give goals.
    0:21:15 Okay. Because I don’t consider myself nor do I ever want to be a self-help guru.
    0:21:20 I don’t want to be. Exactly. There’s never going to be a Guy Kawasaki, Madison,
    0:21:26 Nismar course at the Ritz Carlton where you’re in five hours, we’re going to tell you how to be
    0:21:31 remarkable. That ain’t going to happen ever. Maybe Madison will do it, but not with my blessing.
    0:21:42 But there is one thing is you are able to have a real influence on people. And I’m in a very good
    0:21:50 position to say it. You helped me so much by who you were when you joined the company.
    0:21:58 When we started the company together, I learned so much by capillarity. You didn’t tell me you
    0:22:03 should do this and should do that. Even though you were probably more dogmatic at the time and now,
    0:22:08 but you let me learn from you. I think we learned from each other.
    0:22:16 People listening, you should understand that because you wouldn’t know this. Marlon and I
    0:22:22 started a company called ACIUS and we had a product called Fourth Dimension or a Macintosh
    0:22:28 relational database. And it was because of her that I left Apple and I started this company.
    0:22:36 And the rest is history. And also, let’s just set the record straight. It was because of her
    0:22:42 encouragement that I wrote my first book, The Macintosh Way. Arguably, without Marlon in my life,
    0:22:47 I would not have become a writer. That’s a distinct possibility.
    0:22:57 Well, thank you. But I am forever grateful that you accepted that we would work together.
    0:23:09 Because I had no idea of what the Silicon Valley ecosystem was. And it saved me probably years
    0:23:20 of learning because you had it in your bones already. I learned so many American idioms because,
    0:23:27 remember, at the time, my English was fairly academic. I have kept my accent, but my English,
    0:23:38 I think, has become pretty decent. And I discovered Asia through you. I discovered the art of saying
    0:23:46 yes before thinking no. This was very important. I do. I do. I default to yes. That is very
    0:23:55 true. And this was very profound for me. Because as a European and especially French, we tend to
    0:24:10 argue a lot. No. Here we are. But hearing you say yes when I knew you were not so sure was
    0:24:17 incredibly important. Oh, okay. I don’t know if we’re going to keep this part in the podcast,
    0:24:22 but while I think about it, I’m going to ask you two really silly questions, but I really want to
    0:24:30 know. Okay. So I discussed the concept of, and I’m going to tell you these two things so that
    0:24:37 you can tell me the absolute correct way to say these French words because I am not sure. Okay.
    0:24:46 So number one is no bless oblige. Is that the right pronunciation? Yes. You have an American
    0:24:52 accent, but it’s no bless oblige. Okay. Yes. And then we have this person in our book and in our
    0:25:01 podcast who’s very artistic and very talented. His name is Halim Flowers. Yes. And many people
    0:25:07 consider him the next generation Jean-Michel. And this is, I don’t know how to pronounce his
    0:25:14 last name. Is it Basquiat? Yes. You would say, with a French accent, you would say Jean-Michel
    0:25:20 Basquiat, who was an amazing artist. But you can say Jean-Michel Basquiat. Okay. American people
    0:25:26 say Jean-Michel Basquiat. Because I live in great fear that I’ll say no bless oblige and Jean-Michel
    0:25:31 Basquiat. Some place in some French intellectual city in the audience will say artist, dumbass American,
    0:25:37 can’t even say French words. I disagree. People who would think this way would just be silly.
    0:25:46 Okay. Back on track here. So now let’s talk about disruption. Do you think disruption is
    0:25:53 overrated and it’s like a bullshit venture capital term? It’s definitely overrated. When you look
    0:26:01 at the history of the world, it really picked up in the 80s and 90s mostly. The world was used
    0:26:07 before in completely different contexts, not in business context. The theme is if you’re not
    0:26:14 disruptive, you’re going to die because somebody’s going to do better than you do. Why would you need
    0:26:23 such a big word to express something which is logical? If you don’t evolve, your company will
    0:26:32 die. That’s about it. And it became sort of a cottage industry word for consultant. We are going
    0:26:40 to help you disrupt the world. In reality, when you hear an entrepreneur telling you that he is
    0:26:49 going to disrupt a field, either he is naive, or he doesn’t know the space. The evolution of
    0:26:56 technology and the adoption of technology is really progressive. You’re not going to change
    0:27:05 all behaviors overnight. You’re not going to kill IBM overnight if you want to kill IBM. It’s just
    0:27:14 like very naive. And it’s a very negative view of innovation. In fact, innovators want to build
    0:27:21 construct more than disrupt. What’s the point of disrupting somebody else? The point is to build
    0:27:29 a business. And I do agree with Rony Mbarn beyond disruption. In my book, I discussed the concept
    0:27:36 from a more historical standpoint because the notion of disruption appeared in the 1980s.
    0:27:43 But the researcher using it did not think of it from the point of view of one company
    0:27:50 disrupting the planet at all. And the idea of disruption also came in sociological research
    0:27:57 to show that the evolution of the world history is not linear. It’s not cause and effect relationship.
    0:28:06 So what happened is that Christensen used a term which was getting trendy in the 70s, 80s,
    0:28:12 and use it into business. I think it’s a good consulting business term. It does not describe
    0:28:22 the reality of how innovation happens. And if you, as an entrepreneur or an innovator,
    0:28:28 your goal is to disrupt everything, you’re most likely to fail because people are not going to
    0:28:36 buy you. So are you saying that when you mention Christensen, you’re referring to Clayton
    0:28:42 Christensen and the innovators dilemma. So are you saying the innovators dilemma is not accurate
    0:28:48 or you’re just saying that it’s mislabeled? I think it’s mislabeled. He gives interesting advice.
    0:28:57 But like many business books, so you need to have a sort of grandiose term to strike the
    0:29:06 mind of people and to build a school of idea when in reality, it’s a logical, interesting advice to
    0:29:16 management in the same way as many other authors. We don’t need to have those big labels. And
    0:29:21 certainly we don’t need entrepreneurs to think that they are going to be disruptive because first,
    0:29:29 usually great things start small. You understand you’re talking to someone who’s
    0:29:39 trying to make the word remarkable, just like the word disruption. The good thing is that
    0:29:49 remarkable is more normal. To be remarkable, this is a word that you say in everyday life.
    0:29:57 And so what you do is that you aggregate the various components of being remarkable.
    0:30:03 But in everyday life, you say, oh, this is remarkable. This person is remarkable.
    0:30:10 This book is remarkable. You show how the word remarkable has a wide range of meaning.
    0:30:14 I must admit, I never use the word disruption. Never.
    0:30:23 Okay, very good. So you make my point here. You don’t go around. You’re not going to buy
    0:30:32 an ura ring because it disrupts Bulgaria. To your point, I don’t think people wake up in
    0:30:40 the morning saying, God, I got to buy something disruptive. Exactly. In fact, you want to buy
    0:30:46 something which is not disruptive, which is seductive. Yes. You want to be persuaded
    0:30:55 to buy. You want to be brought into buying something. You want to charm, not to shock.
    0:31:02 I knew it was inevitable to interview someone who’s French and we’d get to sex somehow.
    0:31:14 And I would also make the case that you can only label things disruptive after the fact.
    0:31:20 You can’t predict it. Exactly. This is an after the fact. I don’t see the point.
    0:31:25 And if you say to a customer, it’s disruptive, they’re going to wait until other people adopt
    0:31:30 the product because they don’t want to disrupt their business. So it’s a very negative view.
    0:31:38 It has probably used it, but when I hear an interpreter tell me that it’s disruptive,
    0:31:40 it’s usually that he doesn’t know the space very much.
    0:31:48 You’re going to get my book and podcast banned inside of McKinsey, which if he keeps talking
    0:31:57 about disruption being a bad word. It’s not a bad word. It’s a kind of filler word.
    0:32:04 It’s just when people always use this kind of expression without knowing the origin
    0:32:10 and the actual meaning, it becomes empty. I would say that it’s empty. People have to
    0:32:16 say disruptive to look serious. That’s McKinsey. They don’t use it more than other people. I think
    0:32:23 it’s just part of the lingo and one day when the people train in the 80s and 90s are going
    0:32:29 to disappear, the world is going to disappear. Up next on Remarkable People. Most of the time
    0:32:35 when we produce innovation, we think that what we do is so great that people will knock at our door
    0:32:40 and buy it and drove. We forget that before we buy the next iPhone, we say, well, do I really
    0:32:46 need one? And so we hesitate not because we are unable to make a decision without that’s cool,
    0:32:53 but do I really need it? And so forth. We have to understand that people don’t operate at our speed.
    0:33:03 Become a little more remarkable with each episode of Remarkable People.
    0:33:07 It’s found on Apple Podcasts or wherever you listen to your favorite shows.
    0:33:12 Welcome back to Remarkable People with Guy Kawasaki.
    0:33:23 I would love to hear your opinion of how organizations can remain or sustain innovation
    0:33:30 decades into. You point out that many companies are 50, 60, 70 years old and how do those companies
    0:33:38 remain innovative? It’s very complicated, right? There is no one recipe, but usually
    0:33:44 they hire people who can inform the upper management and they make sure that ideas are not
    0:33:53 crushed or disappearing in the labyrinth of hierarchy. So that’s really the key. I think
    0:34:00 that the minute you realize that innovation is about people and not about organization,
    0:34:06 you start to take care of people. Organizations don’t crush innovation. People do crush innovation.
    0:34:13 Power crushes innovation or fear crushes innovation, but sustaining innovation in
    0:34:20 large corporation is possible. It’s completely possible. For example, think of Apple. We may
    0:34:25 not always agree with what Apple has done over the years, but they have managed and this is an
    0:34:34 old organization now. IBM, they are ups and downs, but they have managed it because they look for
    0:34:42 talent. Look at Google. They have found talent everywhere and they acquire companies with a lot
    0:34:48 of talent and they are able to maintain those talents, to keep those talents. The same with
    0:34:54 Microsoft. This organization who are able to understand that innovation is linked to people
    0:35:02 and crushed by people. Well, I mean, does it make sense? Not to get off on too much of a tangent,
    0:35:09 but if people are the key like this, when societies or let’s say specific states, they seem to be
    0:35:16 crushing people based on their race or their sexual orientation or something. It’s by these
    0:35:22 superficial qualities of nothing to do with their ability to innovate. It seems to me that’s a
    0:35:29 downward cycle there. This is definitely a downward cycle because if you look at Silicon
    0:35:36 Valley, it’s white guys, but it’s a lot of Chinese and people from India. Let’s be realistic. We are
    0:35:45 in a global world and talent can come from anywhere and from anybody, from any color, from any sexual
    0:35:52 orientation. So all these qualifications, all these exclusionary processes are just absurd.
    0:36:01 Basically, they are losing talent. Another thing that is going to maybe bad for the United States
    0:36:09 and maybe other countries too, is the cost of universities because universities, laboratories
    0:36:16 are the antechambers of innovation. So you have to train a large number of people
    0:36:25 to basically emulate a lot of ideas, create a lot of ideas. So if you exclude people from
    0:36:31 traditionally very effective university because of the cost, you may lose a lot of talent or they
    0:36:37 may go back to their country. This is going to go off on another tangent, but I love to hear what
    0:36:43 you say. Who do you consider more innovative? Steve Jobs or Elon Musk? I don’t tend to have
    0:36:51 a hierarchy. I wouldn’t establish really a hierarchy between them. I only have preferences.
    0:36:58 Okay. Who’s your preference? I prefer Steve Jobs. Why? Because I think he was
    0:37:06 grateful to the environment he was in. And even though he was hard to deal with, I think that
    0:37:12 his personality was more open to the world. Elon Musk is obviously an extraordinary man.
    0:37:21 I’m disturbed by his radical positions and the risk of abuse of power. This is disturbing to me
    0:37:27 because it’s more of a character issue, but it’s not because he’s an innovator. It’s more of a
    0:37:34 character issue. I think Steve Jobs was provocative, could be probably very harsh with people,
    0:37:45 but there was a personal integrity that is very meaningful. Okay. So I want to finish off with
    0:37:52 your book specifically. Just give us the lessons of your book. In one question,
    0:38:03 how do you get beyond Eureka? You work, you work, you work. You may succeed, you may restart,
    0:38:11 you may pivot, but you move on continuously. That’s it? That’s the whole gist of it?
    0:38:18 Yes. First off, I must tell people that you are the one who found this title beyond Eureka.
    0:38:26 And very grateful about this. My point was that creators of companies who want to innovate have
    0:38:33 to realize how difficult it is. And while I was trying to explain why it is difficult,
    0:38:40 I want them to feel that they are not alone. Because most of the time, as an entrepreneur,
    0:38:47 you feel lonely. You feel that if you don’t succeed, the world is going to look at you
    0:38:57 in a decorative fashion. So what I did is make sure that I always illustrated that others went
    0:39:06 through bad times, maybe some time even worse. I want to make sure that entrepreneurs understand
    0:39:13 how hard it is to innovate. But I want also to make sure that they understand that they can
    0:39:20 improvise, they can change that, they can be opportunistic, pragmatic, because others very
    0:39:28 big names have done it before them. So I want to de-dramatize in many respects both success and
    0:39:34 failure. I think that many people from the outside looking in think that the hard part
    0:39:39 is coming up with the idea. And then once you come up with the idea, implementation is easy.
    0:39:46 And my experience is it’s exactly the opposite. Exactly. I completely agree with that. Because
    0:39:52 you get an idea when you work in a space, you see what the status of the space is,
    0:39:57 and then you say, well, how come this works only like this? Let me try something else.
    0:40:06 So you usually get ideas from a terrain where many ideas can germinate. So the ideas are pretty
    0:40:13 easy to combine. And then when you have this idea, now how am I going to make it work? So you start
    0:40:19 a company, so you learn how to manage a budget, how to raise money, how to hire people, what not.
    0:40:24 And then the minute you have started a product, say, wow, who’s going to buy that stuff?
    0:40:32 And this is the beginning of big headaches. So implementation, not of the rule of business,
    0:40:38 but of the rule that will make people adopt your product is extraordinarily complicated
    0:40:46 and challenging. Do you have any brilliant insights for us about adoption? Like, how do
    0:40:51 you foster adoption? Because I think that’s what it all comes down to. I tell entrepreneurs all
    0:41:00 the time, the only thing you need to remember is sales fixes everything. Yes. But you have sales
    0:41:08 when you see how people can adopt. To have people adopt, you have to be progressively charming in
    0:41:15 many respects. You have to first think how you, as a consumer, adopt product. Most of the time
    0:41:22 when we produce innovation, we think that what we do is so great that people will knock at our door
    0:41:29 and buy it and drove. We forget that before we buy the next iPhone, we say, well, do I really need
    0:41:35 one? And so we hesitate, not because we are unable to make a decision without that school,
    0:41:42 but do I really need it and so forth. We have to understand that people don’t operate at our
    0:41:50 speed. That’s the first thing. Understand that customers are lazy. Even if they like the product,
    0:41:57 logouts are not idiots. Simply, they don’t need the product or they are able to do without it.
    0:42:04 Or they have different habits. To help adoption, you have to learn tolerance
    0:42:11 of why people are not going to buy your product. You have to basically really do
    0:42:18 a pre-water analysis. Find all the reasons why people are not going to buy you.
    0:42:25 And then you have to also do everything possible to make sure that if they decide
    0:42:34 to buy your product, the interface is going to be easy for them. And this is, by the way,
    0:42:39 something I learned from you, my notion of interface. I had a tendency to look at the
    0:42:44 technology. What I really learned from you when I came to this, to a valley, is the importance
    0:42:52 of the interface, even the color of a package. And when I was working on the history of technology
    0:42:59 for this book, I discovered that probably the genius of interface, the first big genius of
    0:43:08 interface was George Isman at Kodak. Oh, yes, yes. And I think that everybody was working on better
    0:43:16 ways to make photography happen, democratize photography. And all of a sudden, there was
    0:43:24 somebody who said, you can click on the button, you being anybody. So I think he built the concept
    0:43:30 of interface that pervaded everything since then. That reminds me of something that maybe in your
    0:43:39 research, you have a better understanding of, which is in 1975, Steve Sassen of Kodak invented
    0:43:46 digital photography and obviously did not embrace it. So what happened there? There was a very
    0:43:51 interesting interview that he gave to the New York Times at the time.
    0:44:01 It was killing the cash cow. And probably the upper management of Kodak had aged too much or the
    0:44:08 board at age too much. So they could not project themselves 10 years, 20 years down the road.
    0:44:17 They did not think of what their grandchildren would want to use. They had arrived. They were not
    0:44:24 stupid people. They were simply stuck with themselves with their age. I think it was generational.
    0:44:32 All right. So I have to tell you that I wrote a book called The Art of the Star 2.0, which goes
    0:44:41 over the basic mechanisms of how to start a company. But I do not at all address with any kind of
    0:44:48 quality that your book does. I think if you’re an entrepreneur listening to this or you’re thinking
    0:44:54 of being an entrepreneur, you only need two books, The Art of the Star 2.0 and Beyond Eureka. Because
    0:45:00 they’ll tell you how to set it up and how to get past the idea. And that’s what it takes to be a
    0:45:07 successful entrepreneur. Thank you so much. And I love The Art of the Star 2.0, which has translated
    0:45:15 into French, the two versions of them. So oh, and if nothing else now, I know with great confidence
    0:45:22 that I can use the French name and the French concept of Noblesse Oblige and I can go in.
    0:45:30 I have one more question about Noblesse Oblige. I have a negative reaction to the Noblesse
    0:45:38 part of Noblesse Oblige because I do not like the concept of nobility in the sense that you’re
    0:45:44 born into the royal family. And because you’re a noble and you realize because you’re such a
    0:45:49 wonderful person, you have this obligation that you’re going to go help the peons. So I’m a noble
    0:45:56 person who’s helping peons. Am I like reading too much into the concept of Noblesse Oblige that
    0:46:05 it’s this like kind of elitist wonderfulness? It is elitist, it is elitist, but maybe not
    0:46:14 elit by birth. The notion of Noblesse Oblige is respecting the sense of honor. It could be applied
    0:46:24 to anybody in the scale of being nobles, even lowborn nobles. When you say be a gentleman
    0:46:32 to somebody, you say Noblesse Oblige. It’s a code of honor. Okay. So it’s not nearly as negative
    0:46:41 as I was thinking. It’s not at all negative. Oh, I gotta change my speech. I’m glad I asked.
    0:46:51 It’s not negative at all. It’s behave honorably. Okay. There is the idea of privilege, but it really
    0:46:59 emphasizes the responsibility of privilege. The same way, be a gentleman. You are a gentleman
    0:47:06 except your responsibility and do the right thing. God, I got so much cleared up, I can go forth.
    0:47:15 I’ll give you this opportunity. Just pitch your book, tell people why they should buy your book.
    0:47:26 Read my book if you want to be encouraged all the way in the difficult path you have chosen,
    0:47:33 because you are not alone. I hope you enjoyed this episode with Marlène Del Borg der Fies.
    0:47:40 She was an enormous influence in my career, both as a tech executive as well as a writer.
    0:47:45 If nothing else, I hope you understand the concept of Noblesse Oblige.
    0:47:53 May we all fulfill our Noblesse Oblige. Let’s thank the crew. First, Madison Neismar. Madison
    0:47:59 Neismar is the producer of this podcast and co-author with me of Think Remarkable. Then there’s the
    0:48:06 amazing sound design engineers, Jeff C. and Shannon Hernandez, and the rest of the crew, Alexis Nishimura,
    0:48:13 Fallen Yates, and Louise Magana. We are the Remarkable People team. We’re on a mission to
    0:48:18 make you Remarkable. Now I’m going to give you a little bit of homework. Check out Marlène’s book.
    0:48:25 It’s called Beyond Eureka. And while you’re doing that, check out our book, Think Remarkable.
    0:48:33 We are truly on a mission to make you Remarkable. Until next time, Mahalo and Aloha.
    0:48:39 This is Remarkable People.

    In this episode of Remarkable People, join host Guy Kawasaki for an enlightening conversation with Marylène Delbourg-Delphis, a serial technology CEO, executive consultant, board member, and author. Marylène shares insights from her 30+ year career empowering organizations to reshape their future through breakthrough platforms and applications. She discusses the key themes from her new book “Beyond Eureka!: The Rocky Roads to Innovating”, providing an insider’s view on the often challenging path from idea to successful innovation. Discover Marylène’s perspective on the trailblazers vs. trail followers of tech history, sustaining innovation in large organizations, and fostering product adoption. Don’t miss this conversation full of wisdom gained from a remarkable entrepreneurial journey.

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable. 

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People. 

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable. 

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology 

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  • Rabbi Sharon Brous: Building Bridges in a Divided World

    AI transcript
    0:00:12 I’m Guy Kawasaki and this is Remarkable People.
    0:00:16 We’re on a mission to make you remarkable.
    0:00:21 Helping me in this episode is a remarkable Rabbi Sharon Brouse.
    0:00:28 She is the founding and senior Rabbi of ICAR, a trailblazing Jewish community in Los Angeles.
    0:00:36 She was named the most influential Rabbi in the United States by Newsweek in 2013.
    0:00:42 She delivered blessings at the inaugural prayer services for Presidents Obama and Biden.
    0:00:48 Her TED Talk, Reclaiming Religion, has over 1.5 million views.
    0:00:53 Sharon holds a Master’s in Human Rights from Columbia University and was ordained by the
    0:00:56 Jewish Theological Seminary.
    0:01:02 She serves on the Faculty of Reboot and the New Israel Funds International Council.
    0:01:07 She has recently been in the media providing comfort and clarity to the people affected
    0:01:10 by the Hamas terrorist attack.
    0:01:17 Her new book, The Amen Effect, Ancient Wisdom to Mender Broken Hearts and World, explores
    0:01:22 the power of community to heal and rebuild society.
    0:01:29 I’m Guy Kawasaki, this is Remarkable People, and now here is the remarkable Rabbi Sharon
    0:01:34 Brouse.
    0:01:37 Please explain what does a Rabbi do?
    0:01:39 Oh, that’s a great question.
    0:01:40 It is?
    0:01:42 No, it is a great question.
    0:01:48 In fact, one of the stories in my book is when I was struggling with some grief that
    0:01:53 had settled into my body and there was a healer who was working on, who asked if she could
    0:01:58 help me, and she said to me, “What do you do for a living?”
    0:01:59 And I said, “I’m a Rabbi.”
    0:02:00 And we were in Costa Rica.
    0:02:02 She said, “I have no idea what that is.”
    0:02:05 And I said, “It’s like a pastor or a priest, but Jewish.”
    0:02:08 And she said, “Oh, you bury people, I understand.”
    0:02:14 Which helped her, it helped explain why I was holding grief in my body tissue.
    0:02:22 So we could start there, but really a Rabbi is a teacher, a pastor, a guide through some
    0:02:27 of life’s most beautiful and challenging and painful moments.
    0:02:34 My job is to help people reconnect with our sacred past so that we can live more meaningfully
    0:02:40 and more purposefully in the present and build a more just and loving future.
    0:02:46 So it’s all the stuff of life, including most poignantly, I think, being with people through
    0:02:52 some of the most painful moments of their lives, and also helping usher people through
    0:02:56 the most beautiful moments, standing under the chupa, under the wedding canopy, naming
    0:03:01 babies, visiting people when they’re sick in the hospital, and walking people through
    0:03:04 burial and their time of grief, all of this.
    0:03:10 It’s being part of the stuff of life, but all the while being a translator of ancient
    0:03:15 ideas into the present so that we can live differently than we do.
    0:03:16 Great.
    0:03:23 So now, the title of your book is the Amen Effect, but there are many connotations to
    0:03:25 the word amen.
    0:03:28 Somebody could say something and you want to signify agreement.
    0:03:35 So you say amen, and then there’s the, at the end of a prayer or end of a thought.
    0:03:40 So how do you use the word amen in your title?
    0:03:42 In all of those ways.
    0:03:46 One of the things I love about this word and why I wanted to call the book the Amen Effect
    0:03:52 is because it has resonance in so many different traditions and it’s used in so many different
    0:03:57 ways, both in sacred community and also it has a kind of secular resonance too, as you
    0:03:58 just said.
    0:04:02 People say amen to each other, but the idea of amen, it actually comes from the Hebrew
    0:04:05 word emuna, which means faith.
    0:04:11 And so I think a lot about who we’re expressing faith in and what we’re expressing faith in.
    0:04:17 And for some people, amen, and amen is about faith in God, faith in the Holy One, faith
    0:04:19 in some force in the universe.
    0:04:24 But the real resonance that I’m drawing upon for the book is that it actually is something
    0:04:26 we say to each other.
    0:04:31 We say amen to each other’s experience in the world, whether that’s an experience of
    0:04:38 sorrow or celebration, when it’s someone else’s prayer that we say amen to, then we’re saying
    0:04:44 I see you, I hear your prayer, I hear the yearning of your heart, and I’m able to connect
    0:04:45 with you on a spiritual level.
    0:04:50 I’m able to see you and hopefully also to be seen by you.
    0:04:54 And that that is one of the most powerful gifts that human beings can give each other.
    0:05:01 The title actually draws from or grew out of my understanding of one of the most important
    0:05:05 foundational and oldest Jewish prayers, which is the mourner’s prayer that we say after
    0:05:07 the death of a loved one.
    0:05:10 And I realize it’s a very complex theology.
    0:05:13 The poetry is ancient and profound.
    0:05:18 It’s written in Aramaic, which was the language that Jews would have understood 2000 years
    0:05:20 ago, but now mostly don’t understand.
    0:05:23 So it feels very impenetrable.
    0:05:26 But I realized that what’s actually going on in this prayer is that someone with a broken
    0:05:33 heart stands in front of a community of strangers and friends and says, my heart is broken.
    0:05:37 And the community responds saying, amen, I see you.
    0:05:42 And then they go on to say, I’m so scared because I don’t even know how to grieve.
    0:05:45 And the community says, amen, we’re right here.
    0:05:46 I’m so worried.
    0:05:50 I don’t know how to live without him, amen, we’re right by your side.
    0:05:56 This idea of bearing witness is actually made manifest in the prayer itself, which is creating
    0:06:01 a kind of muscle memory for repeated relentless presence.
    0:06:06 I’m here with you, I see you, amen, amen, amen, amen.
    0:06:14 And even if your pain scares me, even if your loss destabilizes me, I’m not going to abandon
    0:06:17 you because I’m going to be right by your side.
    0:06:21 That is my commitment to you, one human being to another.
    0:06:29 And so I just love the idea that we can give each other this amen to one another’s scariest
    0:06:35 moments in life, just the ability to say, I’m right here by your side through the dark
    0:06:38 night of the soul, and I’m not going to abandon you.
    0:06:39 What a gift.
    0:06:49 It’s a powerful four letter word, clearly, as I was reading this book, not that I’m a
    0:06:53 theological scholar or anything, but the thought keeps coming back.
    0:06:56 Are the world’s religions so different?
    0:07:04 I’ll tell you, I had a revelation once when I was sitting in church on Christmas Eve.
    0:07:10 I’m a Jew and I’m a rabbi, and I had never before been to Christmas Mass.
    0:07:14 There is a kind of reluctance for Jews to even enter churches.
    0:07:20 There’s some legal parameters around us going in and there’s an echo of this is not a safe
    0:07:24 place for Jews to be throughout history.
    0:07:29 The calls for the pogroms often were issued from the pulpit, so to speak.
    0:07:32 And so I had always avoided going into a church on a sacred moment.
    0:07:35 I’d been in as a tourist, but never in a sacred moment.
    0:07:41 When I moved to Los Angeles, a wonderful pastor, the rector of All Saints Church in Pasadena,
    0:07:47 a beloved reverend named Ed Bacon, heard that I moved to town, a young rabbi called
    0:07:50 me up and said, “Hey, sister, you got to come to church.
    0:07:53 I want you with me on Christmas Eve.”
    0:07:59 And so I went and I sat in the front row with all of his Jewish and Muslim friends, and
    0:08:02 I listened to him preach on Christmas Eve.
    0:08:10 And he told this incredible story of the birth of Jesus, which he said, he described Jesus’s
    0:08:17 parents, Mary and Joseph, who were so poor and cast out from society that she went into
    0:08:23 labor and not one person in the inn would make room to bring her in so that she could
    0:08:25 give birth indignity.
    0:08:29 And instead she had to give birth on the lawn outside and he said all of the history of
    0:08:36 Christianity from that point forward was an attempt to rectify that terrible moment when
    0:08:40 the society had rendered a poor couple invisible.
    0:08:45 And I was sitting in the front row, a young rabbi, and I was literally had this revelatory
    0:08:52 experience where I realized, my God, that’s a beautiful story and that’s not my story.
    0:08:57 That’s Ed Bacon’s story, but I have my own story, which is the story of the Exodus from
    0:08:58 Egypt.
    0:09:04 It’s the story of my people being enslaved for hundreds of years under Pharaoh, this
    0:09:09 oppressive tyrant, and then partnering with God to walk toward liberation and being called
    0:09:15 to build a society that’s a counter testimony to the cruelty and oppression and humiliation
    0:09:18 and degradation that our people experienced.
    0:09:19 But you know what?
    0:09:25 Ed Bacon believes that his work in the world is to build a society that counters the cruelty
    0:09:29 of the society that left Mary to give birth outside.
    0:09:34 And I believe that my work in the world for thousands of years as a Jew is to build a
    0:09:39 society that counters the cruelty that my people experienced in Egypt so many years
    0:09:45 ago, we have different stories, we’re guided by different core narratives, but we’re on
    0:09:47 the same track.
    0:09:52 And we both share the same dream of what that world redeemed could look like.
    0:09:56 I literally thought all of this sitting in the front row on Christmas Eve with the incense
    0:09:57 and the flags.
    0:10:03 And I thought, this guy’s my partner in working to build a just and loving world.
    0:10:06 He has to be because we dream the same dream.
    0:10:10 It’s just motivated by different core stories.
    0:10:13 And he speaks of God in one name, and I speak of God in another name.
    0:10:17 Our prayers are different, but our dreams are the same.
    0:10:20 And so we should be partners in building that world together.
    0:10:24 And would you say that extends to the dream of Muslims?
    0:10:26 Absolutely, it does.
    0:10:31 And in fact, one of the things I love about the word Amen is that that word is also heard
    0:10:32 in the mosque.
    0:10:37 Amen, Jews say Amen, Christians say Amen, Muslims say Amen.
    0:10:45 I love the idea that so many people of faith are able to find themselves on a path toward
    0:10:51 deeper spiritual connection by acknowledging the humanity of one another and lifting one
    0:10:55 another up in the hopes that we can build a different kind of world.
    0:11:01 And so I really see that faith should be a unifier and not a divider.
    0:11:06 And it’s one of the reasons that we built our community 20 years ago in Los Angeles,
    0:11:11 because I really looked at what religion looked like in the public space.
    0:11:17 And in all of our religious traditions, the dominant religious voice was often one of
    0:11:25 extremism, of exclusion, of intolerance, of cruelty, even of violence.
    0:11:31 And I realized that so many of our faith traditions have at their core messages of peace, that
    0:11:37 the path to God is honoring the image of God in every human being.
    0:11:41 I know that those messages exist in all of our sacred texts, and I think that every religious
    0:11:46 practitioner today is an interpreter of text.
    0:11:53 And so we don’t have to choose the most regressive extremist and violent interpretations.
    0:11:57 We can and we must choose interpretations that lead us not to hate each other, but to
    0:11:58 love each other.
    0:12:06 And some of my best partners in the work are people who are religious, Muslims, Christians,
    0:12:12 people who are sick, people who are Buddhist, people who take very seriously their own tradition
    0:12:16 as a call toward manifesting the dignity of all human beings.
    0:12:17 Okay.
    0:12:22 This is something I struggle with is help me wrap my head around the fact that all of
    0:12:30 these, what I consider good and solid and loving values are professed by people.
    0:12:38 And yet leaders in these churches supporting things that just is not according to scripture,
    0:12:42 it’s complete utter contradiction.
    0:12:47 So how do I wrap my head around the fact, whether it’s an evangelical or a far right
    0:12:54 conservative Jewish person, how do I wrap my head around this conflict between what they
    0:13:00 profess in this loving God and their actions in the real world?
    0:13:10 I really feel that there’s a mandate for me and for you and for anyone who sees a different
    0:13:18 kind of call in the sacred traditions to use our voices as a counter testimony to those
    0:13:20 extremist voices.
    0:13:27 Every time I hear a rabbi issue a proclamation that counters my understanding of who we’re
    0:13:33 called to be as Jews in the world, I feel I have to speak even louder.
    0:13:38 I have to offer even more moral clarity about what I read from our sacred tradition.
    0:13:44 The first thing we learn about human beings in the Hebrew Bible, which is held sacred
    0:13:49 by Jews and Christians and Muslims, the first thing we learn about human beings is that
    0:13:55 every human being is created in God’s own image, that every single human life is sacred.
    0:14:01 And our rabbis read that in the Mishnah, the ancient compendium of Jewish law that’s codified
    0:14:09 1800 years ago, and they read that to mean that every person has innate dignity, that
    0:14:15 if you destroy a single life, it’s as if you’ve destroyed an entire world because we have
    0:14:19 no idea the reverberative power of any human life.
    0:14:22 And if you save a human life, it’s as if you’ve saved an entire world.
    0:14:25 And that teaching is then echoed in the Quran.
    0:14:29 This is something that Jews and Muslims share, this idea.
    0:14:34 Our rabbis read that the fact that the first person was created alone and created in the
    0:14:41 image of God means that all people are fundamentally equal, which is the fundamental incompatibility
    0:14:43 of religion and racism.
    0:14:49 You can’t take religion seriously and be a racist because if you take religion seriously,
    0:14:52 it means that you believe that we all come from the same one.
    0:14:56 So how can anyone be fundamentally better than another?
    0:15:01 It means it means that every single person is unique, that every person has something
    0:15:04 to offer in this world that is absolutely unique.
    0:15:09 And if that person were to no longer to exist or not to grow up in conditions where that
    0:15:12 person can flourish, then the world is bereft.
    0:15:20 And so what my response is, obviously, when I hear a rabbi issue a proclamation that defies
    0:15:25 my understanding of who we’re called to be as Jews and as human beings in the world,
    0:15:27 obviously, it fills me with pain.
    0:15:33 I’m an anguish over it, but I try to channel my pain into a different kind of discourse.
    0:15:39 I will use every platform I can to preach a different kind of truth, the kind of truth
    0:15:45 that I believe comes straight from the same religious text that he’s reading in one way.
    0:15:50 I’m going to read in another way, and I’m going to read it as a call for greater love
    0:15:52 and understanding.
    0:15:57 Even if that rabbi is going to use it as a justification or an excuse for violence and
    0:16:02 for human cruelty, and I think that that needs to happen in all of our religious traditions,
    0:16:07 the religious extremists will take up all the space in the room if we let them.
    0:16:13 And so what we have to do is offer voices that counter those voices that are fundamentalist
    0:16:18 and extremist, and we have to amplify those voices.
    0:16:24 We have to make sure when we hear people speaking in voices of love that we lift those up because
    0:16:28 those voices too are directly from the tradition.
    0:16:34 And again, all interpreters are making a choice about what we lift up and what we hold sacred.
    0:16:35 My choice is love.
    0:16:42 And I often think, I, about what if I’m wrong, and what if the sacred texts actually are calling
    0:16:46 for exactly what these extremist voices believe?
    0:16:47 And I’m wrong.
    0:16:48 They’re not about love.
    0:16:50 They’re not about justice.
    0:16:52 And I think one day I’ll have to contend with that.
    0:16:58 One day I will meet the Holy One, and God will say, “How dare you use my hateful texts
    0:16:59 to preach love?”
    0:17:00 And I’ll say, “You know what?
    0:17:03 I chose to see a better side of you, right?
    0:17:08 If it comes to that, I will take that, I will take that leap at that time, but I really
    0:17:13 believe that we are called not to destroy each other, but to help each other thrive and
    0:17:17 to create societies in which human thriving is possible.
    0:17:19 And I will continue to believe that.
    0:17:24 I really do, and I’ll continue to fight for that reality in this world.
    0:17:27 I don’t think you should be too worried about that moment.
    0:17:33 I think there are a lot of people who, they better be ready to explain why they did such
    0:17:42 heinous things in his or her name, because I just cannot wrap my mind around we’re evangelical
    0:17:50 Christians, but we want to put LGBTQ+ people on the fringe and we want to put the Mexicans
    0:17:55 in the concentration camps and all this kind of just unbelievable stuff that they call
    0:17:56 themselves Christians.
    0:17:59 I don’t understand that at all.
    0:18:05 My response rather than screaming at the screen when I read and hear about this is to work
    0:18:12 to build a community that is truly loving and embracing of LGBTQ folks that really
    0:18:17 centers the voices of people who are marginalized in other religious spaces.
    0:18:23 Part of that is publicly acknowledging the violence that so many of our religious traditions
    0:18:29 have done toward marginalized people over the course of history, acknowledging it, naming
    0:18:35 it out loud, and then working as hard as we can to create spaces, again, that are a counter
    0:18:41 testimony to that kind of exclusion and cruelty and violence.
    0:18:49 It seems to me that there is such a schism between the word of God and the actions of
    0:18:54 the church, the formal church in so many ways.
    0:19:02 And then you hear about how the attendance and support of churches are declining.
    0:19:06 And it makes perfect marketing sense to me that there is such hypocrisy.
    0:19:09 How can you support the church?
    0:19:13 You can love God and hate the church at this point, right?
    0:19:18 I gave a TED talk about this some years ago now in 2016.
    0:19:25 And I said that part of the reason that we built our community is because on one hand
    0:19:32 we had this corruption, in my view, of faith and religion, the manifestation in the public
    0:19:39 space of religious life as an excuse for cruelty toward other human beings and for supremacy.
    0:19:46 And on the other hand, exactly when our religious institutions needed to be a powerful counter
    0:19:53 voice, they were becoming quieter and more muted and less courageous and less creative.
    0:19:59 And I really felt like we needed to reintroduce the language of the prophets, the prophetic
    0:20:02 voice into the public space.
    0:20:08 These guys, I mean, Isaiah got naked and ran through the streets screaming for years to
    0:20:11 get people’s attention and say, “What’s going on?
    0:20:13 Our society is broken.
    0:20:15 Wake up people.
    0:20:18 Where is that voice today?”
    0:20:23 And the way that I phrased it was, the young people are speaking with their feet, fleeing
    0:20:25 religious institutions.
    0:20:31 And it’s across the board, or at least it was 20 years ago when we started our community,
    0:20:36 that Jews, Christians, Muslims, all of us were reporting a decline in affiliation, decline
    0:20:39 in church attendance, the church was graying.
    0:20:44 There were all kinds of studies about the discontinuity crisis in Judaism.
    0:20:47 People in church averaged 70 and up in Christianity.
    0:20:52 And what I said was that young people have decided that they’re simply uninterested in
    0:20:59 engaging a religion that’s deadly or a religion that’s already dead, right?
    0:21:05 So what we have to do is revitalize, reanimate, create a new kind of religious practice.
    0:21:11 And here I’m very influenced by the teachings of a Benedictine monk named David Steindl-Rost,
    0:21:18 who you might know, who David Steindl-Rost wrote that all religions start with some kind
    0:21:22 of powerful, mystical revelation.
    0:21:25 It’s the equivalent of a volcanic eruption.
    0:21:29 It’s fiery, it’s powerful, it’s moving.
    0:21:35 That revelation either happens to one person or to many, but it is unquestionably a powerful
    0:21:36 mystical moment.
    0:21:43 And then like a volcanic eruption, the lava flows down the side of the mountain and lands
    0:21:45 at the base of the mountain.
    0:21:50 And then some years pass, maybe a couple of hundred years pass, and at some point people
    0:21:55 walk by the base of that mountain and all they see is cold dead rock.
    0:22:00 And they have no idea that there used to be a fire underneath that stone.
    0:22:05 And he says our work as practitioners is to take out a chisel and start chipping away
    0:22:09 at the cold dead rock and reclaim the fire that is at the heart of it.
    0:22:13 And what that means is, can you create a fire?
    0:22:18 Can you create a fire that gives warmth and that gives light but doesn’t burn the house
    0:22:20 down?
    0:22:25 That’s the danger of religious practice because the people who have the most fiery experience
    0:22:28 of faith are often the arsonists, right?
    0:22:31 Or the people who are burning the house down right now.
    0:22:35 They’re literally threatening to burn the whole world down right now.
    0:22:43 Can we create an experience of faith and community that is passionate and fiery but fiery for
    0:22:47 love and not for supremacy is such a thing possible?
    0:22:49 And I believe it is possible.
    0:22:54 And it is actually the mandate of those who live in this world today and want to see a
    0:23:00 different kind of world to try to reclaim the very essence of what stood at the heart
    0:23:01 of our traditions.
    0:23:06 And in fact, the name of my community is Ikar, which means in Hebrew, the essence or the
    0:23:08 core or the heart of the matter.
    0:23:35 Can we get back to that sacred fire at the heart of our traditions?
    0:23:41 Okay, so let me ask you the most facetious question you may have faced for a while, which
    0:23:46 is let’s say that Netanyahu listens to this podcast.
    0:23:52 That ain’t going to happen, but let’s just say he listens to this podcast and he’s inspired
    0:23:58 and he calls you up and says, Rabbi, give me your thoughts, give me your advice.
    0:24:00 What do you think I should do?
    0:24:01 What do you say to him?
    0:24:10 I agree with you that I don’t think he’ll hear this podcast, but I think that he needs
    0:24:11 to resign.
    0:24:16 I think that there needs to be new leadership and there needs to be new leadership with
    0:24:18 a new vision of what’s possible.
    0:24:22 Eternal war is not an option.
    0:24:24 Israelis and Palestinians deserve to thrive.
    0:24:30 They deserve to have a thriving future and we need leaders who can help people imagine
    0:24:37 a different kind of future, a future in which every person who lives in that region, whether
    0:24:45 they are Israeli Jews or Palestinians, can understand that there’s a life for their children,
    0:24:51 a life without war, a life without fear, an opportunity to live in dignity, to have their
    0:24:54 collective and their individual rights honored.
    0:24:56 It’s possible.
    0:25:00 Terrible, intractable conflicts have ended before.
    0:25:07 Nobody ever could have imagined that someone could cross the border from Germany to France,
    0:25:11 hop on a train, get over to London, go to Belgium.
    0:25:17 This Europe was a continent of bloody wars where millions of people died.
    0:25:22 They were at war with each other and now there are essentially open borders there.
    0:25:28 That only happened because at some point somebody envisioned a different kind of future.
    0:25:32 We need leaders there who can actually articulate a different kind of future.
    0:25:38 I’ll tell you, Guy, that I, as an American rabbi, believe that part of my responsibility
    0:25:46 is to help the diaspora communities envision a different kind of future and then to amplify,
    0:25:51 to platform, to amplify and to help resource Israelis and Palestinians who are on the
    0:25:57 ground today, who are some of the most courageous people I know, who themselves, even in the
    0:26:03 midst of war and with hearts full of grief, are able to imagine a different future.
    0:26:08 Their voices are muted on the public stage because what’s much more interesting, the
    0:26:15 media is drawn to voices calling for violence, calling for death, calling for eternal war.
    0:26:20 But what we actually need is to amplify the voices of the people who instead believe that
    0:26:27 peace is possible, believe that there can be a lasting peace that can actually leave
    0:26:33 all parties to this terrible conflict, feeling seen and heard and dignified and where they
    0:26:35 can build a future.
    0:26:40 That future’s not coming under the regime of Benjamin Netanyahu.
    0:26:44 That person cannot be the leader that takes us there, but there are leaders who can.
    0:26:48 And so I would say to him, with all respect, sir, your time is done.
    0:26:50 You’ve done enough damage.
    0:26:54 It’s time to step aside and let a new generation of leaders emerge.
    0:26:55 Wow.
    0:26:59 Let me put my brains back in my head.
    0:27:01 That was not the answer.
    0:27:05 I was, wow, that is quite the answer.
    0:27:11 So I’m going to tell you, this is a real life situation that I face right now.
    0:27:16 I have a friend, part of the LGBTQ community.
    0:27:22 And every once in a while, he tells me, he says, oh, the people in Michigan have declared
    0:27:30 that they are non-committed and we’re threatening Biden because Biden, we believe, is supporting
    0:27:37 a genocide and we are so anti-genocide that we’re going to be non-committal and that could
    0:27:40 affect his reelection.
    0:27:43 And I tell him, so you need to think more than one step ahead.
    0:27:50 So let’s say that works and Joe Biden loses and Donald Trump wins.
    0:27:56 You’re going to be celebrating for about five seconds before you figure out what Donald
    0:27:59 Trump will do to your community and to this world.
    0:28:05 They so believe that Joe Biden is trying to create a genocide of the Palestinian people.
    0:28:08 What do I even say to that person?
    0:28:10 I happen to agree with you.
    0:28:15 I will say this, people’s hearts are breaking right now.
    0:28:16 They’re breaking.
    0:28:22 And I do understand where that pain is coming from that made people right, you know, uncommitted
    0:28:24 on the ballot.
    0:28:29 I think that they’re trying to use the voice that they have and the power that they have
    0:28:33 to signal how heartbroken they are.
    0:28:37 My deepest prayer, guys, is that that does not translate into votes for a third-party
    0:28:44 candidate or a failure to vote in November because, of course, I see exactly what you
    0:28:51 see and the lives of so many people will be so much worse, including the Palestinian
    0:28:52 people.
    0:28:58 If Joe Biden loses the election in November and Donald Trump is reelected.
    0:29:02 And I’ll tell you my deepest fear right now because you’re asking what can you say.
    0:29:06 And I think in some ways the most important thing that you and I can do is speak honestly
    0:29:08 about it.
    0:29:17 But my greatest concern is that in Trump’s first term, he was not able to manifest his
    0:29:25 greatest aspirations for the kind of authoritarian regime he wanted to build because the resistance
    0:29:27 against him was united.
    0:29:34 There was a very broad-based, united resistance to that authoritarianism.
    0:29:38 And now that very same coalition that stood together when millions of people came out
    0:29:43 to the women’s march, there were five million people across the United States that came
    0:29:48 out on his inauguration day in 2017, that coalition doesn’t exist anymore.
    0:29:52 It has completely been decimated.
    0:29:58 And so my greatest fear is not just that he’ll be reelected for a second term now, but that
    0:30:04 he’ll be able to do in his second term what he was not able to do in his first term.
    0:30:09 Because the resistance against that regime can’t talk to each other right now.
    0:30:16 And so it is of the utmost importance that people vote and that they don’t deny themselves
    0:30:21 the right that so many people in this country have fought and died for, the right to vote,
    0:30:26 and that they can protest all they want in the days leading up to the election.
    0:30:32 But they have to understand what is at stake for all of the people of this country and
    0:30:40 the world and for our planet itself if there comes to pass a second Trump administration
    0:30:41 in this country.
    0:30:49 I think we are standing on the precipice of utter failure of the United States, utter
    0:30:50 failure.
    0:30:57 Listen, in 2016, I was in Germany and I was having dinner with two friends and they said,
    0:31:00 hey, this is your 1930.
    0:31:06 And to this day, we ask our grandparents or our parents, how did Germany get behind Hitler?
    0:31:09 How could that have possibly happened?
    0:31:15 And they said to me, guy, this is the choice that your country faces now.
    0:31:21 And do you want your grandchildren to ask, did grandpa fight against Trump and fascism
    0:31:23 or did he go along?
    0:31:30 And ever since that dinner, I felt convicted and I am just I’m the most political person
    0:31:33 you can find and I don’t give a shit.
    0:31:36 You don’t want to follow me, you don’t want to read my book, you don’t want to listen
    0:31:37 to my podcast.
    0:31:38 I don’t care.
    0:31:40 This is what I’m telling you.
    0:31:45 It’s a source of utter despair and great concern to me, I tell you.
    0:31:52 I share your concern and listen, I want to say that my book was initially slated to come
    0:31:56 out end of September, 2024.
    0:32:01 And my editor at Penguin Random House very wisely realized that this would not be a great
    0:32:05 time for the book to come out because she said to me, and this was two years ago, this
    0:32:09 is going to be an extremely contentious election.
    0:32:13 And she said, nobody’s going to be able to hear the message of this book at that time.
    0:32:17 Can you get the manuscript to me 10 months earlier than we had planned?
    0:32:21 We want to get it out in January, 2024, a nice quiet time where people can still like
    0:32:26 each other and they can hear the message and we can strengthen our muscles to work together.
    0:32:27 And so I did.
    0:32:31 I got the manuscript in 10 months early, which was about a year and a half ago that we closed
    0:32:32 the manuscript.
    0:32:38 Anyway, it turns out January, 2024 was not as quiet as we had imagined it might be and
    0:32:41 already there are incredible rifts in the society.
    0:32:47 But I really believe now that the book came out at exactly the moment that it needed to
    0:32:54 come into the world, because at the very heart of the Amen effect is the idea that it is
    0:33:01 precisely at the moment that we are most inclined to pull away from each other, that we have
    0:33:05 to instead train our hearts to find our way to one another.
    0:33:13 It’s exactly when it’s most counter instinctual because somebody else’s pain, it makes us
    0:33:19 feel vulnerable because somebody else’s heartache feels to me like it’s a pain I don’t want
    0:33:25 to get close to or because someone else’s views or actions have caused me harm.
    0:33:29 And the last thing in the world I want to do is get proximate to a person who has caused
    0:33:36 me harm that we are called into relationship with one another, we’re called into proximity.
    0:33:42 And I do believe that is the only way that we survive this era that we’re living in right
    0:33:43 now.
    0:33:48 And so in some way, the book coming out during this terrible time has actually given me the
    0:33:55 opportunity to talk about what would it take for us to turn to one another with compassion
    0:34:01 and with curiosity, precisely at the moment that we all want to jet out of the room and
    0:34:03 nobody wants to have anything to do with each other.
    0:34:08 And I think that is the most critical message of our time.
    0:34:15 And in tactical and practical ways, someone listening to this Christian, Jewish, Muslim,
    0:34:22 whatever he or she is, okay, I understand what you said at a high level, but what are
    0:34:23 you saying?
    0:34:27 Should I go and like take somebody from QAnon out for a few beers?
    0:34:29 What are you saying tactically?
    0:34:34 Okay, so can I take a step back and just give you the central image of the book because
    0:34:37 I think it’ll help us answer that question.
    0:34:44 So the central paradigm actually comes from a very ancient practice, which was a pilgrimage
    0:34:45 practice.
    0:34:49 The Jews used to come from all across the land and even the diaspora and they would come
    0:34:53 up to Jerusalem for pilgrimage in the ancient world.
    0:34:57 And so this was, we’re talking 2000 years ago, they would ascend to Jerusalem.
    0:35:02 They would ascend the steps of the Temple Mount, the most sacred place in the most sacred
    0:35:03 city.
    0:35:08 They would enter through this beautiful arched entryway and they would turn to the right
    0:35:13 and circle around the perimeter of the courtyard, of this ancient space, hundreds of thousands
    0:35:15 of people at once.
    0:35:21 And when I was researching this book, I read firsthand testimony and accounts from pilgrims
    0:35:26 who had gone on the Hajj in Mecca, people who had gone to engage in this sacred practice
    0:35:33 and they talked about how transformative it is to engage in this holy work of just being
    0:35:38 in movement, in mass movement with millions of people.
    0:35:42 In the case of Jewish history, it was hundreds of thousands of people who would be moving
    0:35:46 all at once, except the text says, “For someone with a broken heart.”
    0:35:51 And that person goes up to Jerusalem, goes up the steps of the Temple Mount, enters
    0:35:55 through the same entryway, but instead of turning to the right like everybody else turns
    0:35:57 to the left.
    0:36:02 And so there’s a sacred encounter that happens between the broken hearted and the people
    0:36:05 who are just there for the work of pilgrimage.
    0:36:13 And when they pass somebody who’s not okay, they stop, they see her in her humanity and
    0:36:14 in her brokenness.
    0:36:16 They ask her one simple question.
    0:36:21 In Hebrew, the words are malach, which means, “What happened to you?
    0:36:25 Tell me about your broken heart.”
    0:36:31 And that person answers saying, “I’m a mourner, my loved one just died, or I’m just worried
    0:36:36 sick about my kid and I need someone to tell me she’s going to be okay, or my partner just
    0:36:41 left and I feel totally blindsided or I just feel so alone in the world.”
    0:36:46 And then the people going in the direction of the pilgrims, they give them a blessing
    0:36:49 and they say, “May you be held with love in this sacred place.
    0:36:55 May you know as you navigate through your treatment for your cancer that you are surrounded
    0:36:56 by love.
    0:36:59 May you feel that you are accompanied on this journey.”
    0:37:03 And what I realized that’s so powerful about this ancient pilgrimage ritual is that literally
    0:37:07 none of the parties want to be in this encounter.
    0:37:12 The people who are broken hearted do not want to even get out of bed, let alone get dressed
    0:37:18 and show up and walk in the opposite direction even when the whole world is going this way.
    0:37:22 And yet they do have to go, they’re not allowed to opt out, and they’re not allowed to walk
    0:37:26 in the direction of everyone else because they’re not okay.
    0:37:30 And we’re told you can’t pretend you’re okay when you’re not okay.
    0:37:34 And the people who are okay that day, the last thing in the world they want to do in
    0:37:39 this peak moment of their spiritual lives is pull away from their friends and their community
    0:37:44 and their families and say, “Hey, I see a bleary eyed stranger who’s walking toward me.
    0:37:47 Let me go check in on them and see what happened to their broken heart.”
    0:37:50 And yet that’s exactly what they’re called to do.
    0:37:56 And I realized that what this ancient ritual is doing is giving us a formula for how to
    0:38:03 engage each other when we are broken, when there’s brokenness all around us.
    0:38:09 And the formula is compassion and curiosity, compassion and curiosity.
    0:38:15 First to actually see each other, to look in the eyes of the other, to see one another
    0:38:22 even in our brokenness and to ask, “Tell me, what does it look like from your vantage point?”
    0:38:28 And we learn at the end, Chapter 8, I describe that actually it’s not only the brokenhearted
    0:38:34 who walk to the left when everybody else is going to the right, but it’s also the ostracized,
    0:38:41 which is a very rare, specific, severe punishment that in the ancient world that was visited
    0:38:44 upon people who had caused grave harm in the community.
    0:38:46 They’re not yet excommunicated.
    0:38:49 They’re not the people who if they enter the Temple Mount, they’re going to blow up the
    0:38:50 Temple Mount.
    0:38:54 Those people are not welcome in there because they would render the place unsafe.
    0:39:00 But pretty much everybody else, even the people who’ve caused real harm, they enter that space.
    0:39:04 They walk in the direction of the brokenhearted and the people who are okay come from the
    0:39:07 other direction and they see them too.
    0:39:12 And they ask them, “Tell me, what do you see from your vantage point?
    0:39:15 Why is there so much pain in your heart?
    0:39:20 You who wrote uncommitted on your ballot, tell me what you see because I’m hurt by that
    0:39:22 because I’m worried about our future.
    0:39:26 I’m worried about our democracy, but I’m not going to speak from my hurt.
    0:39:31 I’m going to find a place to curiosity where I can ask you, “Why did you do that?”
    0:39:35 And then they’re going to answer saying, “This is what I see from my vantage point.”
    0:39:38 And suddenly we see each other as human beings.
    0:39:40 Our sorrow meets sorrow.
    0:39:43 Our humanity needs humanity.
    0:39:49 And suddenly we’re able to see one another in a different way and we’re in a conversation
    0:39:50 with each other.
    0:39:52 We’re not going to convince each other.
    0:39:54 We’re not going to agree with each other.
    0:39:59 But suddenly we can see that we might be on the same side of history and that we’re all
    0:40:05 moved by the terrible loss of human life and we all want to dream of a future in which
    0:40:13 no people, not Israelis in the Kibbutzim on the Gaza border and not Palestinian children
    0:40:18 just over the border on the other side, none of them deserve to suffer.
    0:40:22 Can we see one another in our fullest humanity?
    0:40:25 And so the book actually gives us this kind of formula.
    0:40:26 It’s about compassion.
    0:40:27 It’s about curiosity.
    0:40:32 The way that we get there is by showing up when our instinct is to pull away from each
    0:40:33 other.
    0:40:39 We show up for the difficult conversations, for the grief, for the love, for the loss.
    0:40:43 And we find our way back into conversation again and again and again.
    0:40:50 And at the end of the book, I have eight practices, eight spiritual practices, one correlating
    0:40:51 to each of the chapters.
    0:40:56 And the idea is this isn’t just some big, vague idea.
    0:41:03 There are things that each one of us can do in our lives today that can actually change
    0:41:10 the neural patterns in our brains, that can actually rewire us so that we engage differently.
    0:41:15 And they’re very simple, so simple that some of them may even seem obvious.
    0:41:20 But there are things that we can actually do right now that can lead us into greater
    0:41:25 encounter when our instinct is to disincline from one another to retreat.
    0:41:33 So tell us the eight, tell us the eight so that people will get a glimpse into the book.
    0:41:37 I’m going to start with actually with the last one, because it’s so much of what we’ve
    0:41:43 been discussing today, guys, really our shared concern about the future of this country and
    0:41:45 the future of the world.
    0:41:52 Hannah Arendt, the great 20th century Jewish philosopher, warned that loneliness, isolation
    0:41:59 and alienation are preconditions for totalitarianism, that when people are in relationship with
    0:42:05 each other, tyrannical regimes cannot take root in a society.
    0:42:09 Conspiracy theories cannot take root in a society, because if somebody tells you that
    0:42:16 Jews control the weather with space lasers, Jewish space lasers, you might believe it
    0:42:21 unless you know a Jew and you know that it rained at that Jew’s wedding.
    0:42:24 And then you think, well, if Jews control the weather, why wouldn’t they have stopped
    0:42:26 the rain on the wedding day?
    0:42:30 And so you realize that this is not real.
    0:42:32 And so we have to know each other.
    0:42:37 And the reason that this is such a crisis and an urgent crisis is because we don’t know
    0:42:38 each other in America.
    0:42:41 We are isolated and alienated from each other.
    0:42:47 A study done before COVID showed that 30% of Americans do not know the names of their
    0:42:49 next door neighbors.
    0:42:51 We don’t know each other.
    0:42:57 I put this as the practice for chapter two is to actually get to know your neighbors.
    0:43:03 So what I have done is I started to go on a run every morning, but the practice is go
    0:43:08 for a walk once a week around the block and literally greet every person you pass and
    0:43:11 introduce yourselves to the people you don’t know.
    0:43:15 I started to go on a run every single morning during COVID.
    0:43:19 And I just said hello to every neighbor that I passed on the street and I introduced myself
    0:43:24 to the ones I don’t know and has changed my experience of my neighborhood.
    0:43:26 I know my neighbors now.
    0:43:29 I didn’t know them before, honestly, I just I’m very busy.
    0:43:30 I work all the time.
    0:43:32 I didn’t know my neighbors and now I do.
    0:43:37 So this is something that we can do that will actively change our relationship with our
    0:43:44 neighbors that can I think is one of our best shots at saving our democracy moving away
    0:43:45 from democracy and toward community.
    0:43:52 The sacred practice for chapter one, a chapter that I call show up is go to the funeral.
    0:43:54 Just go to the funeral.
    0:43:59 Your colleague, your friend, your extended has had a loss.
    0:44:00 It takes a lot of effort.
    0:44:03 You have to reschedule a lot of meetings in order to get to the funeral.
    0:44:09 You never regret going to the funeral and giving comfort to the bereaved and giving
    0:44:13 them the opportunity to talk about their loved one.
    0:44:17 Whether they had a complicated pain relationship with them or a beautiful relationship with
    0:44:22 them and blessed relationship, give them the opportunity to grieve and to know that they
    0:44:27 are not alone, that you are bearing withness, that you are with them through this period
    0:44:28 of challenge.
    0:44:32 The second practice is meet your neighbors, which I’ve already said.
    0:44:36 The third practice is a chapter called see no stranger, which I named after the book
    0:44:42 of a dear friend of mine named Valerie core, who’s a sick American author who wrote a memoir
    0:44:44 in manifesto called see no stranger.
    0:44:47 And the practice here is honor the divine image.
    0:44:52 And this is an opportunity to actually pause.
    0:44:56 And when we have an encounter with someone, for example, someone on the street outside
    0:45:04 of the Starbucks, and just imagine for a moment that this too is an image of the divine.
    0:45:09 How does that change the way that we encounter that human being who’s living on the streets?
    0:45:15 I happen to live in a city where there are, I think, 76,000 people living on the street.
    0:45:20 How does that change our encounter with every single human being if we just pause for a
    0:45:26 moment and think, I need to honor the image of the divine in this person?
    0:45:31 Chapter four, which is about finding our mission, our purpose in this world.
    0:45:35 Each one of us, I believe, is called into this world with a very specific purpose.
    0:45:42 That chapter is called come alive and the practices start by serving, engage every day
    0:45:47 in an act of service for another person because so often we’re searching for the meaning of
    0:45:51 life by looking internally and by looking out at nature.
    0:45:55 And it’s important for us to have that kind of internal reflection and encounter with
    0:45:56 nature.
    0:46:02 But I believe that we find our purpose by contemplating how can I be of service today?
    0:46:07 What is one thing I can do to be of service to another person?
    0:46:09 And that could mean calling a bereaved friend.
    0:46:12 It could mean serving a meal to someone who’s homeless.
    0:46:16 It could mean bringing a cup of coffee to someone who’s cold.
    0:46:21 There are little acts that help us change our experience of one another and change our
    0:46:23 experience of the world.
    0:46:28 Number five, chapter five is called grieve and live.
    0:46:35 And it’s about how we hold joy and pain at the same time with the same heart.
    0:46:40 And in chapter five, the practice calls us, even in times of great sorrow, like what we’re
    0:46:48 experiencing right now, to give ourselves a joy break, to allow ourselves to have moments
    0:46:56 of just pure unencumbered joy, not as an escape from reality, but as a way of honoring
    0:46:59 the fact that we are present to a broken reality.
    0:47:05 And we cannot sustain that presence if we don’t also allow our souls to be nurtured
    0:47:14 and to be nourished by joy, by laughter, by dance, by music, give yourself a joy break.
    0:47:20 My friend, Shifra, who was in mourning after her beloved partner died, set the clock for
    0:47:26 18 minutes every single day during her year of mourning, in which she forced herself to
    0:47:32 experience joy, whether that’s eating the whole chocolate cake or dancing in her apartment
    0:47:38 with the music blasting, something to allow herself to experience joy, not to escape the
    0:47:45 grief, but as an expression of her vitality, even from the midst of her grief.
    0:47:48 Chapter six is a chapter on the healers.
    0:47:53 What happens to the people who, by nature or by profession, are always looking out for
    0:47:58 others, always caring for others, always going to the funeral, always at the burial, at
    0:48:03 the house in mourning, bringing the lasagna for the friend who’s just went through surgery.
    0:48:07 And my practice there is called don’t grin and bear it.
    0:48:14 Don’t pretend that you are okay when you’re not okay, because this grief that we take in
    0:48:18 from one another can fill our bodies until we can’t move anymore.
    0:48:24 And there’s a whole movement now, a whole literature around vicarious trauma, secondary
    0:48:25 trauma.
    0:48:29 What happens to the healers when we just take all of that pain into our bodies?
    0:48:35 And as my sister, Dev, says, “If you don’t metabolize that pain, it will metastasize
    0:48:37 inside your body.”
    0:48:42 So don’t pretend you’re okay when you’re not okay, it’s okay to take a day off, it’s
    0:48:47 okay to be held by others, even when you’re the one who usually does the holding.
    0:48:51 There are two more here, chapter seven, which is the bear withness chapter that we were
    0:48:53 talking about earlier.
    0:48:57 This practice is simply to be present.
    0:49:06 And I will tell you a very brief story about this, which is the story of a mother who had
    0:49:14 a teenager in the house who had become sort of toxic the way sometimes teenagers do.
    0:49:19 The house was a landmine, anything she said, anything the mother did could lead to a kind
    0:49:22 of explosion in the house.
    0:49:27 And finally one day, the mother who’s, I can’t reach my kid, I don’t know how to get
    0:49:28 to her.
    0:49:30 Finally she did the following.
    0:49:35 She said to her daughter, “Listen, I bought a chocolate babka and I am going to be sitting
    0:49:37 in the kitchen at midnight.
    0:49:41 If you’re hungry for babka, you can find me in the kitchen.”
    0:49:46 And she sat there with her slippers and robe on at midnight and the kid did not show up.
    0:49:50 And so she showed up the next night with chocolate babka in the kitchen and the kid didn’t show
    0:49:58 up day after day, night after night for weeks until finally once in the middle of the night,
    0:50:04 this kid showed up in the kitchen at midnight and said, “Mom, is there any babka left?”
    0:50:06 And the mom said, “Have a seat.”
    0:50:07 And they started to connect.
    0:50:12 The idea of chapter seven is just stay present.
    0:50:14 Just try to stay present.
    0:50:19 Where there’s pain, it will often take a lot of effort in order to be present with one
    0:50:21 another.
    0:50:24 Just let them know that you’re there and you’re not going to disappear.
    0:50:29 And finally chapter eight, which is in some ways the hardest chapter of this book at this
    0:50:32 moment, this chapter is called “Wonder.”
    0:50:36 It’s a chapter on curiosity and how we hold curiosity for the people, not who are coming
    0:50:40 toward us in that sacred circle but who might be coming at us, people who’ve caused us
    0:50:45 pain and the practice is breathe and stay at the table.
    0:50:50 Try not to leave when the conversation gets hard.
    0:50:53 We all have this fight or flight instinct.
    0:50:57 Try to just stay and try to hold curiosity.
    0:51:01 Sometimes it’s not going to work at all and you’ll feel like I just couldn’t break through
    0:51:08 and sometimes just staying at the table ends up planting a seed of possibility in the heart
    0:51:13 of the person who’s opposite you, that might lead to some growth and might lead to some
    0:51:27 transformation for both of you.
    0:51:33 I have about five more questions for you but I’m not going to ask you them because this
    0:51:37 is the way to end this podcast with these eight recommendations.
    0:51:46 I would like that to be the thing that people focus on and hear last and I believe in recency.
    0:51:54 So I want to end the podcast with that just remarkable explanation of eight things people
    0:51:55 can do.
    0:52:02 There have been about 225 episodes of this podcast and it required reading about 200
    0:52:03 books.
    0:52:06 I read basically I read a book a week for these podcasts.
    0:52:12 I think your book is the most powerful book I’ve read in the past five years.
    0:52:14 I really truly do believe that.
    0:52:20 In my dream, you like my book as much as I like yours.
    0:52:22 Thank you for this conversation.
    0:52:27 I think because by nature of my profession, people often turn to me for hope and they
    0:52:33 asked me what gives you hope and I want to tell you that this conversation and your voice
    0:52:37 and your presence in the world and the fact that we did not know each other until this
    0:52:42 conversation and we’re so in sync with each other in so many powerful ways that gives
    0:52:43 me hope.
    0:52:48 There are so many more good people in the world that we don’t yet know and if we can find
    0:52:54 our way to amass our spirits, I know that we can transform this broken world into a
    0:52:57 world of healing, a world of love and a world of justice.
    0:53:00 So thank you so much for giving me hope today.
    0:53:07 I only have a one word response to that, which is amen.
    0:53:08 Amen.
    0:53:16 Thank you so much and we’ll get this out and we’ll cover the earth with it.
    0:53:19 All right, and here’s to world peace.
    0:53:20 Amen.
    0:53:21 Amen.
    0:53:24 Well, and I’m happy to share this conversation.
    0:53:26 I mean, actually, we broke some new ground here.
    0:53:30 I said some things I’ve never said anywhere else, and I’ve been doing a lot of these.
    0:53:32 So you pulled something out of me.
    0:53:33 I’m really grateful.
    0:53:35 I’m sure Netanyahu will love it.
    0:53:37 Oh my God.
    0:53:41 I was asked by Christiana Manpour in December.
    0:53:44 She said something like, “Wow, I’m hearing what you’re saying and then I’m hearing what
    0:53:47 BB Netanyahu says and what do you have to say about that?”
    0:53:48 And I said, “He’s wrong.
    0:53:50 The prime minister’s just wrong.”
    0:53:52 And I thought, “Okay, I just said that on CNN.
    0:53:56 So now 9 million people have heard that, but he is wrong.”
    0:54:05 When I was much younger, my first job was working for a jewelry manufacturer in downtown
    0:54:09 LA, and this was a Jewish family.
    0:54:13 And this Jewish family truly embraced me.
    0:54:16 I learned so much from them.
    0:54:25 When I say this, some Jews get offended, and I’ll tell you, I learned so much about selling
    0:54:30 from them, which I view as a crucial life skill.
    0:54:34 But sometimes when I tell people this, they say, “Oh, you’re just continuing this stereotype
    0:54:42 of Jews being hustlers and great salespeople, and you’re just, you’re being racist.”
    0:54:43 And they don’t understand.
    0:54:50 I mean that in the highest form that what I learned from that family about selling and
    0:54:54 about trust, because the jewelry business is based on trust.
    0:55:00 You can walk out every day with millions of dollars in your pocket, and you can cheat
    0:55:02 on the content of the gold.
    0:55:07 You can tell people this is such and such quality of diamond, and you could lie.
    0:55:11 It’s very easy to cheat in the jewelry business.
    0:55:15 And the jewelry business treated me very well for years.
    0:55:20 I’m telling you this whole story because I have, I was one of the few Japanese Americans
    0:55:27 on the Jewish Defense League donation list.
    0:55:31 And you mentioned this interview, the number 18.
    0:55:34 So I just want to verify something.
    0:55:42 So what I learned was that 18, the symbol is very close to chai, which stands for life.
    0:55:45 So 18 is a lucky number, right?
    0:55:46 Yeah, that’s right.
    0:55:49 No, there’s a numeric equivalent to each letter.
    0:55:54 And so the 18 is yudhet, which is the inverse of chai.
    0:56:02 And so, right, so we make donations often in 18 or 180 or 1800 or 1.8 million.
    0:56:08 I was just going to say that because when they used to give me bonuses and stuff, everything
    0:56:10 was in a multiple of 18.
    0:56:11 Well it’s a blessing.
    0:56:14 It’s like you’re getting a bonus, but you’re also getting a blessing that you should live
    0:56:15 a long way.
    0:56:16 Yeah, yeah, yeah.
    0:56:20 So I do things in multiple of 18 to this word, to this day.
    0:56:23 Very few people know why I do things in multiples of 18s.
    0:56:24 I love that.
    0:56:25 I do too.
    0:56:29 So I always put my donations in multiples of 18.
    0:56:32 So, chai, it’s wonderful to meet you and connect.
    0:56:37 I hope our paths will cross again, and Madison, thank you for navigating this from behind
    0:56:38 the scenes.
    0:56:39 All right.
    0:56:56 So, as I have come to embrace your language, I would just say, don’t mention it, an M-E-N-S-C-H.
    0:56:57 Okay.
    0:57:01 And as the Japanese say, “zaigazunt.”
    0:57:06 All right, take care.
    0:57:16 So that was the most influential rabbi in the United States, Rabbi Sharon Brouse.
    0:57:19 What an interesting conversation.
    0:57:24 I hope you’ll take her wisdom and spirit and love for society to heart, and try to make
    0:57:28 this a better world, a better place for all of us.
    0:57:30 I’m Guy Kawasaki.
    0:57:32 This is Remarkable People.
    0:57:36 And now, I want to thank the rest of the Remarkable People team.
    0:57:42 That would be Shannon Hernandez and Jeff C. Sound Designers.
    0:57:49 Madison Nysmer, producer and co-author of the book, Think Remarkable, nine ways to transform
    0:57:52 your life and make a difference.
    0:58:01 And let’s not forget Tessa Nysmer, researcher, Fallon Yates, Louise Magana, and Alexis Nishimura.
    0:58:09 Until next time, mahalo, aloha, and zaigazunt.

    In this inspiring episode of Remarkable People, Guy Kawasaki engages in a thought-provoking conversation with Rabbi Sharon Brous, the influential founder of IKAR, a groundbreaking Jewish community in Los Angeles. Together, they explore the power of coming together in difficult times, finding purpose through service, and imagining a future of peace. Rabbi Brous shares wisdom from her new book, The Amen Effect, providing tangible practices to help us stay connected, honor each other’s humanity, and work towards a more just and loving world. Discover how small acts of compassion can create ripples of change and healing in our lives and society.

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable. 

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People. 

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable. 

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology 

    Listen to Remarkable People here: https://podcasts.apple.com/us/podcast/guy-kawasakis-remarkable-people/id1483081827 

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  • Mike Caulfield: Verified Methodology for Fighting Misinformation

    AI transcript
    0:00:12 I’m Guy Kaosaki, and this is Remarkable People.
    0:00:14 We’re on a mission to make you remarkable.
    0:00:18 We have two ways to help you be remarkable right now.
    0:00:24 One is our book, Think Remarkable, Nine Paths to Transform Your Life and Make a Difference.
    0:00:26 I hope you’ll read it.
    0:00:32 The other path is today’s podcast and we have with us a guest named Mike Coffield.
    0:00:36 He is a research scientist from the University of Washington.
    0:00:39 He works at the Center for an Informed Public.
    0:00:46 Basically, Mike is renowned for his SIFT methodology, S-I-F-T.
    0:00:52 This is a crucial tool in the fight against online misinformation, and it empowers educators
    0:00:56 and learners to critically assess online content.
    0:01:00 Let me explain the acronym SIFT.
    0:01:09 S is for Stop, I is for Investigate the Source, F is for Find Trusted Coverage, and T is traced
    0:01:11 back to the original.
    0:01:18 In November 2023, Mike Coffield verified how to think straight, get dupeless, and make
    0:01:24 better decisions about what to believe online with another remarkable people guest, Sam
    0:01:25 Weinberg.
    0:01:32 Mike’s dedication to digital literacy has not only earned him the 2017 Merlot Award,
    0:01:38 but also recognition from top media sources such as The New York Times, NPR, and The Wall
    0:01:39 Street Journal.
    0:01:43 So, let’s welcome Mike Coffield to Remarkable People.
    0:01:48 We’re going to learn how to SIFT and figure out the truth of what we see and read and
    0:01:50 hear online.
    0:01:55 I’m Guy Kawasaki, this is Remarkable People, and here we go.
    0:02:01 Are you drinking liquid death?
    0:02:05 No, I mean, yeah, I guess, Dr. Pepper, is that liquid death?
    0:02:11 No, liquid death is a brand, I’m not talking about the carcinogens in Dr. Pepper.
    0:02:15 Okay, yeah, yeah, I mean, at some level, probably liquid death.
    0:02:20 All right, let’s get serious here because we have to save democracy.
    0:02:25 So first question, how do you verify news stories?
    0:02:29 So let me just set up a little frame about what we talk about when we talk about verifying,
    0:02:34 because I think sometimes people have a different conception of what you’re doing.
    0:02:38 Generally, we’re looking at a situation where someone has seen something on the internet
    0:02:42 that might be a news story, that might be an article, that might be a website, whatever
    0:02:43 it is.
    0:02:46 If you’ve seen something on the internet, they’ve had a reaction to it.
    0:02:50 Normally that reaction is one of two things, either this is absolutely evidence of everything
    0:02:55 I thought I believed, and I believe this is right and so forth, or it is, oh, this is nonsense,
    0:03:01 this is foolishness, and so the question becomes, is the thing what you think it is?
    0:03:05 And this is a question where we focus on the book instead of, is it true or false?
    0:03:09 We accept that you’ve come to something, you’ve already had a reaction.
    0:03:13 By the time you’re checking, something’s already happened, you already have an impression.
    0:03:18 The question isn’t what is this thing, the question is whether your impression was correct
    0:03:19 or whether your impression was wrong.
    0:03:24 And so when we talk about verifying news sources, what we’re saying here is you see something
    0:03:30 on the web and you react to it, maybe because it’s called the Mississippi Ranger, and you’re
    0:03:32 like, oh, well, this is a local paper in Mississippi.
    0:03:35 I hope there’s not a paper called the Mississippi Ranger.
    0:03:38 If there is, it’s a made-up name, like no libel.
    0:03:40 Wait, I gotta go with domain right now.
    0:03:43 I should have written down some fake names I could use.
    0:03:46 But you see something called the Mississippi Ranger and you’re like, oh, this is just a
    0:03:49 local paper in Mississippi covering an issue of something that happened there.
    0:03:52 And so the question is, is it right?
    0:03:54 If that’s your impression of it, was your impression correct?
    0:03:58 And what we suggest on something like that is going to Wikipedia.
    0:04:03 So if it’s a paper of any size, and actually I worked on a project getting local newspapers
    0:04:08 on Wikipedia for a while and coordinating that, if it’s a paper of any size, it’ll have
    0:04:09 a Wikipedia page.
    0:04:14 You go there, and if there’s a paper of this name, if there’s not, it doesn’t necessarily
    0:04:18 mean it’s not a paper, but you might want to find something else.
    0:04:20 It might not be your best first stop.
    0:04:25 Alternatively, you might go and you might find that the Mississippi Ranger is one of
    0:04:31 a set of papers that’s run by a political consultant who runs something we call a pink
    0:04:32 slime network.
    0:04:36 I don’t know if you heard this term, but it’s a network of a lot of things that look
    0:04:41 like they’re news producing sites, but really they’re auto-generated out of this stuff,
    0:04:44 and usually for some sort of propaganda end.
    0:04:48 It could turn out that’s actually being run by a political consultant.
    0:04:52 And so when you say verify a source, part of what we’re saying is, okay, well, if I thought
    0:04:56 I was getting this from a local news source, and that was behind my impression that, oh,
    0:05:00 this is really useful evidence for what I believe or don’t believe, and it turns out,
    0:05:04 no, actually, this is being run by a political consultant, or no, this is just a spam site,
    0:05:08 or no one’s ever heard of this, then it’s maybe not as useful to me.
    0:05:12 And the way you do that, the way you get that context is with the new source, when you’re
    0:05:15 checking the source, is to start with Wikipedia.
    0:05:20 If you can’t find something on Wikipedia, type in the name of the source into, let you
    0:05:23 use something like Google News, see if it comes up in a Google News, and maybe type something
    0:05:28 like funding, coo funds this location, basic sorts of things that would give you some context
    0:05:29 on that source.
    0:05:38 Okay, but let’s, I was on the board of trustees of Wikipedia, and nobody believes in Wikipedia
    0:05:40 more than me, all right?
    0:05:47 But what if somebody says in response to you saying, check Wikipedia, oh, anybody can change
    0:05:54 anything on Wikipedia, why would you use Wikipedia as your reference, when anybody can say anything?
    0:06:00 Well, as you know, because A, that’s not really true on Wikipedia.
    0:06:07 That’s true of Wikipedia in 2006, I hope I’m not being unfair here, but I was on Wikipedia
    0:06:11 in 2006, it was true in 2006, you could get on there, could say a lot of things, those
    0:06:14 things would not be noticed for long periods of time.
    0:06:22 So the first thing is Wikipedia in 2023 is not Wikipedia of 2006 or 2008, there’s just
    0:06:28 been a lot of effort on Wikipedia to build various bots, various things that look for
    0:06:35 things that don’t have citation, vandalism, unsourced changes, new users coming in from
    0:06:41 unidentified IPs that are strangely editing, a lot of pages with PR content, that sort
    0:06:42 of thing.
    0:06:43 So there’s that issue there.
    0:06:48 It is true on some smaller pages, you can get away with this and that, in Wikipedia for
    0:06:51 a little bit of time, that’s not impossible.
    0:06:56 But in general, if it’s a good Wikipedia page, you don’t have to trust the Wikipedia page,
    0:07:01 because you’re going to come to the Wikipedia page, anything that is contested, could potentially
    0:07:06 be contested is going to have a link, a footnote to it, and you’re going to be able to use
    0:07:08 those links to verify it.
    0:07:12 And the thing too is, it doesn’t have to be perfect, Wikipedia doesn’t have to have an
    0:07:17 answer to every single one of these, because this is the big thing, the web is abundant,
    0:07:18 right?
    0:07:23 If you came to the Mississippi Ranger, and this is the source I want to use, and it turns
    0:07:26 out you can’t find any information on the Mississippi Ranger, it’s not like you’re out
    0:07:31 of luck, it’s the internet, you can go and find a source that you can actually find information
    0:07:32 on.
    0:07:38 And so it doesn’t have to be perfect, because the question is not, is this specific source,
    0:07:41 the perfect source for what I want to do?
    0:07:45 Is this source sufficient for what I want to do, or should I move on and find something
    0:07:46 else?
    0:07:48 And you can move on, find something else where there’s a better Wikipedia page.
    0:07:56 Do you think the day will ever come when you’re asked this question, and your answer is, check
    0:08:03 chat GPT, or Claude, or Bard, or Gemini, or anything.
    0:08:08 You obviously said check Wikipedia, you did not say check LLM.
    0:08:13 Yeah, right now I wouldn’t say check in LLM, there’s a couple reasons for that.
    0:08:17 They are improving, but a lot of them, the information’s out of date, some of them have
    0:08:19 gotten better with that.
    0:08:27 They tend to do really well with structure, they don’t always do as well with sort of
    0:08:32 granular facts, so there’s masters of style and structure.
    0:08:36 But the granular facts have been a persistent problem, and interestingly, there were some
    0:08:40 predictions that a lot of that would be ironed out by now, but there’s a particular thing
    0:08:45 in an LLM that people may not realize, which is that those algorithms are set to have a
    0:08:49 little bit of flexibility in them, like a little bit of play, otherwise you’d always
    0:08:54 get exactly the same prediction for every set of words in front, they’d never get that
    0:08:56 sort of real generative quality.
    0:09:01 And that little bit of play that you have to put in there so that it can do some of these
    0:09:05 things is also the thing that is giving you what people call these hallucinations.
    0:09:10 It’s going to be a little tougher to work that out than I think people realize because
    0:09:17 the same amount, the same thing that’s giving you some of the sort of appearance of creativity
    0:09:22 in the LLM, the thing that people associate with the generativity, is the same thing on
    0:09:26 the other side that’s sometimes going too far in creating these hallucinations.
    0:09:29 I’m not saying that it’ll never work out, the jury’s out.
    0:09:38 For the moment, our recommendation in it is that people tend to think that LLMs are great
    0:09:42 tools for novices.
    0:09:48 We actually think they tend to be better tools for either experts or sometimes you find cases
    0:09:53 where a person is an expert in one field and has some moderate knowledge in another in
    0:09:58 to do that, but because you’re looking at the output and you have to evaluate it, novices
    0:10:03 can get overwhelmed with what they would need to check.
    0:10:12 Since we’re on the topic of Wikipedia and LLMs, do you think that LLMs are an existential
    0:10:18 risk to Wikipedia because people will go to their favorite LLM and just ask a question
    0:10:22 where they may have gone to Wikipedia before.
    0:10:28 I understand that Wikipedia would be one of the best sources for LLMs, but what happens
    0:10:34 if people don’t go to Wikipedia anymore and they just go to LLMs, it’s the same threat
    0:10:36 for search engines?
    0:10:41 Yeah, and it’s even worse than that because the other worry is what if people that want
    0:10:47 to stack up Wikipedia credibility, Wikipedia clout, what if they start just using LLMs
    0:10:53 to write their parts of the Wikipedia page and now you’re introducing a lot of these
    0:10:56 errors potentially into Wikipedia via the LLMs.
    0:10:59 So even if you go to Wikipedia, you’re getting LLMs.
    0:11:04 And I know that Wikipedia is working on some ways to do some detection and so forth and
    0:11:10 some policies about what you can and can do, but yeah, I mean, it’s an issue.
    0:11:13 Are LLMs an existential threat to Wikipedia?
    0:11:20 I think existential threats don’t have to be successful, they just have to threaten your
    0:11:21 existence.
    0:11:26 You can have an existential threat that turns out not to result in the death of something.
    0:11:28 And I think in that way, yeah, I think so.
    0:11:33 I think there’s a future where LLMs could do that.
    0:11:39 That would be really sad because, of course, a lot of the productive capabilities of LLMs
    0:11:44 comes from a lot of people putting in time and writing things like Wikipedia.
    0:11:48 It’s a little bit of, I forget, what’s the opposite of a parasitic system, a symbiotic?
    0:11:52 You can either have a parasitic system or a symbiotic system, right?
    0:11:55 And there’s one future in which LLMs are parasitic.
    0:12:00 They take all the stuff that people have worked on, provided value, they suck out that value,
    0:12:05 they spit it back at the user, they erode the business model for these other things and
    0:12:08 kind of just suck their host dry.
    0:12:13 And then there’s a symbiotic future, which is a symbiote is like parasite, but they live
    0:12:16 in a way that benefits their host organism.
    0:12:21 And that symbiotic future, I think, could be one where we figure out how to make these
    0:12:24 things work together, play to their individual strengths.
    0:12:28 And we teach people, like when you want to go to one and when you want to go to the other.
    0:12:30 But I think we need that symbiotic future.
    0:12:35 And I think part of that symbiotic future is people figuring out when it’s best to consult
    0:12:39 something like ChatGBT and when it’s best to consult Wikipedia.
    0:12:46 Okay, because LLM vis-a-vis search engines, I know I search on Google a whole lot less
    0:12:48 these days.
    0:12:54 You know, when I want to question like, how do I add a HP printer to my Macintosh network?
    0:12:59 I used to go to Google for that and get 475,000 links.
    0:13:05 But now I go to Perplexity, which is the world’s stupidest name for an LLM, but I go to one
    0:13:09 of these things and it gives me the answer, not links, right?
    0:13:13 And this relates to something in our book, which is that what most people are looking
    0:13:19 for is a summary thing, like your average informational need is a summary, because the
    0:13:24 number of things in which you’re not an expert far exceeds the number of things in which you
    0:13:25 are an expert.
    0:13:29 And the business model for summary is not great.
    0:13:31 It hasn’t been great for a while.
    0:13:34 The business model is in making an argument.
    0:13:37 You take all your facts, and maybe you do a little bit of summarization, but you make
    0:13:38 an argument.
    0:13:40 You say, “This is the way things should be,” and you do that.
    0:13:44 Or the business model is in selling people things, like, “This will solve your problem,
    0:13:46 not I want to do a summary.”
    0:13:51 There is this problem that AI addresses for some people, which is that people go to the
    0:13:56 internet and they quite rightly want a summary of something, and instead of getting a summary,
    0:14:02 they get a list of a lot of people making arguments for something instead of, “I just want to know
    0:14:06 what the thing is,” or a lot of people selling something, saying, “Hey, that problem you
    0:14:10 have, here’s your solution,” and people get frustrated with it.
    0:14:15 And so part of what we have to do, I think, is, and this is outside the scope of the book,
    0:14:19 but we have to come up with a business model for a summary to get people the answers they
    0:14:23 want that is not, again, it’s not a parasitic business model where the summary is coming
    0:14:27 from a lot of work that people did, but not necessarily giving back or supporting the people
    0:14:28 that did the work.
    0:14:34 This is starting to appear often to solving the problems of the world, but that’s okay.
    0:14:42 I’m up for it.
    0:14:47 In my simplistic world, if I did a search, how do I add an HP printer to my Macintosh
    0:14:48 network?
    0:14:49 Yeah.
    0:14:53 Listen, just like on a search engine, if the right column has ads for toner cartridges
    0:14:56 and HP printers, I’m fine with that.
    0:14:57 I don’t care.
    0:14:58 Right, right.
    0:15:04 I want you to answer this question, because I don’t know how to answer it, which is,
    0:15:13 how do you tell if a large language model is making shit up and having hallucinations?
    0:15:14 How do I tell?
    0:15:19 Generally, I consulted for something that I have some idea about already, and that would
    0:15:20 be the sorts of things.
    0:15:25 And very often, I’m checking and understanding that I already have when I’m going there.
    0:15:30 Now that said, you’re talking about this different sorts of knowledge, and they’re
    0:15:31 not the same.
    0:15:33 You’re talking, for example, about procedural knowledge.
    0:15:34 You want to set something up.
    0:15:39 There’s one nice thing about procedural knowledge, which is assuming you’re not operating a nuclear
    0:15:45 power plant, you try the procedure if it works, and then if it works, great.
    0:15:46 That’s confirmation.
    0:15:49 If it doesn’t, then you find something else.
    0:15:52 So for a lot of procedural knowledge, assuming you’re not working with dangerous chemicals
    0:15:56 or something like that, yeah, I could see someone doing that.
    0:15:57 They want to know how to do this.
    0:16:01 And as a matter of fact, the classic example of that is LLMs are really good at writing
    0:16:02 code.
    0:16:09 And if you’re trying to write a bunch of computer code to reorganize files on your drive by
    0:16:15 date and rename them or something like that, make a copy of that before you do it.
    0:16:16 The LLM can write that.
    0:16:17 You can run it.
    0:16:20 You have some confirmation that the information you got back was good.
    0:16:24 The problem comes, and this is where our book fits into, and I’m glad you mentioned this
    0:16:27 because it was another interview I did, and someone was really obsessed with why do we
    0:16:33 even need this stuff if I’m just looking up how to set up YouTube TV on my computer or
    0:16:34 something like that.
    0:16:38 And yeah, for that set of things, it’s not really a book about that.
    0:16:43 But there’s another set of things where you can’t directly verify the knowledge that you’re
    0:16:44 given.
    0:16:45 And that’s different.
    0:16:48 And so someone says, look, the federal deaths in this country are at all time high.
    0:16:50 We need a federal intervention for this.
    0:16:53 They show you a chart, and maybe that’s true.
    0:16:54 In this case, it probably is true.
    0:16:55 They are, right?
    0:17:00 But there’s no way for you to directly go out into the world and verify whether that information
    0:17:01 was true or false.
    0:17:05 And for that sort of thing, I wouldn’t trust an LLM unless you really know the subject.
    0:17:10 I would, in that case, try to find something that was directly written by a human, particularly
    0:17:13 a human that has reputational stakes.
    0:17:17 Someone who, if they don’t take care with the truth, is likely to pay at least some
    0:17:21 reputational consequence, because that’s how we build up trust, is we know, look, if this
    0:17:27 person gets it wrong, at the very least, it’s an embarrassing next day at work, which is
    0:17:29 often enough to have people get things right.
    0:17:37 Therefore, I could make the argument that the fact that LLMs have hallucinations means
    0:17:40 that Wikipedia still has a place in this world.
    0:17:43 Oh, yeah, I would absolutely agree with that.
    0:17:47 And one of the things about Wikipedia, and the way it’s structured, is editors have stakes.
    0:17:51 I don’t think people understand this, but some people play Wikipedia like a video game,
    0:17:57 in the sense that there’s a dashboard there, and when their changes get reverted, it’s
    0:17:58 painful.
    0:18:02 The flip side of that is sometimes you get these wars, which get very emotional about
    0:18:03 it.
    0:18:05 But people that work on Wikipedia have reputational stakes.
    0:18:10 They have a dashboard that shows how many times they created an article that stayed up,
    0:18:14 how many times they contributed an edit to stay there, how many times it was reversed.
    0:18:18 And these things keep the majority of people in Wikipedia on track.
    0:18:23 ChatGPT, like the company ChatGPT has stakes, but the actual thing producing the thing doesn’t
    0:18:24 have any stakes.
    0:18:25 No.
    0:18:26 And that’s a big difference.
    0:18:28 No, not at all.
    0:18:29 Yeah.
    0:18:36 Okay, so let’s say that I go to a website, and it’s got this .org domain, and I go to the
    0:18:43 About page, and it talks about ending climate change and making America great again.
    0:18:45 That’s not a good phrase.
    0:18:50 It looks like it’s a legitimate .org, .edu, something.
    0:18:56 And so what tricks do people use to make a site look credible?
    0:19:03 And in your case, it’s owned by a political consultant who’s trying to foster anti-union
    0:19:05 voting or something.
    0:19:07 Kill the minimum wage or something like that.
    0:19:08 Yeah.
    0:19:09 Yeah.
    0:19:14 So here’s what, here’s the core of what most people do, is we talk in our book about cheap
    0:19:17 signals and expensive signals.
    0:19:21 And an expensive signal is like your reputation, like it takes a lifetime to build a reputation.
    0:19:23 You’re very careful about your reputation.
    0:19:27 You have a history with people that you can maybe find online over years.
    0:19:32 If you’re a reporter, you can look at the articles you wrote 20 years ago in Washington
    0:19:35 Post, in the articles you wrote yesterday at the Guardian.
    0:19:36 So there’s reputation.
    0:19:38 That’s an expensive signal.
    0:19:42 And then there’s what we call cheap signals, and cheap signals are anything that gives
    0:19:50 the appearance of authority or expertise or being in a position to know that is relatively
    0:19:51 cheap to get.
    0:19:54 So a classic example of that is .org.
    0:20:03 The cost of getting a .org is like $12.95 on Yodan Namecheap and get a .org.
    0:20:07 But someone might look at that and they might say, “Oh, it’s a nonprofit organization.”
    0:20:08 But so it’s a cheap signal.
    0:20:12 Being a nonprofit organization and having a bunch of people that talk about your work
    0:20:14 over time and a bunch of different, that’s very expensive.
    0:20:16 That takes a long time to cultivate.
    0:20:18 Buying a .org does not.
    0:20:24 In a similar way, having a good layout on these sites, there may have been a time where
    0:20:29 in the 1990s, having a good layout to the site, having a crisp look, at the very least
    0:20:31 it meant that you had some money.
    0:20:35 You hired a web developer who could sling that code, get something up, cut it all up
    0:20:39 in the Photoshop, and lay it all out in HTML dreamweaver or something.
    0:20:45 It signaled something, maybe not always a lot, but it signaled, “Look, someone believes
    0:20:47 in these ideas enough to fund it.”
    0:20:48 It signaled something.
    0:20:49 Nowadays, it signals nothing.
    0:20:53 I think most people know this, but in case they don’t, you can get a website that looks
    0:20:56 as good as your average newspaper.
    0:21:01 Just go to WordPress, pick a template, start typing, and you’ll get something.
    0:21:04 In many cases, it looks cleaner than your average newspaper, because if you’re faking
    0:21:07 a newspaper, you don’t have to run dozens of ads.
    0:21:09 That’s a cheap signal, too.
    0:21:14 The people that want to fool you do is they look at all the things that people look at
    0:21:18 to get a sense of whether something has a good reputation, and then they look at the
    0:21:23 ones that they can get done in an hour or get done in two minutes.
    0:21:26 They do that, and that’s what they use to fool you.
    0:21:29 Whenever you’re looking at something, what we encourage people to do is think about how
    0:21:34 hard would it be to fake that, and does that require getting in a time machine and building
    0:21:40 10 years of relationships, or does that involve going to Namecheap and buying a domain name?
    0:21:42 There’s a vast difference between the two things.
    0:21:46 What we found in our work is that people made no distinctions between those.
    0:21:51 As a matter of fact, people tended to overvalue the cheap stuff because it was more immediately
    0:21:52 apparent.
    0:21:56 We see it looking at the page, where they tend to undervalue the expensive stuff because
    0:22:01 you had to go out, and you had to say, “Hey, if this guy is an expert in this, there’s
    0:22:05 probably at least a newspaper article or two that quotes them as an expert.”
    0:22:09 That sort of stuff took a little more effort, just a little bit more effort, but it’s so
    0:22:14 much better evidence than the stuff that’s about the surface of the page, or the domain
    0:22:19 name, or whether they have an email address you can mail, or whether there’s an avatar
    0:22:24 picture of a real person who might be a real person, might be an AI person, might be some
    0:22:27 other person that doesn’t know their picture is being used.
    0:22:34 In this scenario, when you land at some organization’s homepage, would you also go to Wikipedia
    0:22:36 and look up that organization?
    0:22:37 Yeah, absolutely.
    0:22:38 Absolutely.
    0:22:44 In fact, one of the things we found Wikipedia is best for is telling you what an organization
    0:22:45 is about.
    0:22:48 That doesn’t mean telling you whether the organization is true or false, it’s like
    0:22:51 a nonsensical idea, is it an organization true or false?
    0:22:54 What doesn’t even necessarily mean is an organization credible or not.
    0:22:58 It just means, “Is this the sort of source that I thought it was that I thought I was
    0:23:00 getting my stuff from?”
    0:23:03 For example, you mentioned some of these advocacy sites.
    0:23:08 You might go to an advocacy site, and one person might go to an advocacy site, stop
    0:23:14 minimumwage.com, and it says, “We’re a coalition of restaurant workers just looking to protect
    0:23:18 our lifestyle with tips, and this bill is going to be horrible for us.”
    0:23:21 One person might go to that and be like, “Okay, I know they’re not restaurant workers.
    0:23:23 I know this is run by a lobbyist firm.”
    0:23:27 But I’m interested in seeing what arguments the lobbyist firm is advancing.
    0:23:28 If that’s your jam, then great.
    0:23:29 Go wild.
    0:23:31 I want to see what a lobbyist organization thinks.
    0:23:34 I go to a lobbyist organization page, I find out what the lobbyist organization thinks.
    0:23:38 Maybe they’re making a good argument, but maybe it’s something I should think about.
    0:23:43 But yeah, for most people, when they come to something, they think, “This is a research
    0:23:48 group, or this is a community organization, this is a grassroots organization.”
    0:23:54 I should say, again, I don’t know, I’m just making names up here, so I hope that’s not
    0:23:57 a URL that’s in play.
    0:24:01 The idea is you come to that page, you think it’s one thing, you go to the Wikipedia page,
    0:24:07 and it says, “Hey, this organization was originally founded by a coalition of the nuclear
    0:24:11 energy industry and the coal industry.”
    0:24:13 Maybe they have something interesting to say.
    0:24:16 Maybe they’re something, I’m not saying their facts are wrong, but it’s also maybe not your
    0:24:20 best first stop for a summary of what our energy future should look like.
    0:24:23 You might want to go somewhere else.
    0:24:24 Okay.
    0:24:33 So now, tell me, do you think that 100 Twitter employees sitting in Austin will have any
    0:24:37 impact on Twitter/X?
    0:24:40 I guess it depends on what impact you’re thinking here.
    0:24:42 The impact is a low bar.
    0:24:43 Safeguard.
    0:24:44 True.
    0:24:45 Yeah.
    0:24:53 Twitter has placed its eggs in the community notes basket, and this is a way that users
    0:24:57 can add labels to things and rate them and so forth.
    0:25:02 Say it’s inspired by Wikipedia, there’s some elements of it that are reminiscent of that.
    0:25:03 There’s some that are not.
    0:25:06 They’ve invested less in their trust and safety team.
    0:25:08 I just say, “Approach these things with caution.”
    0:25:13 On Twitter/X, I’ve been advising people to the extent they say on it to veer more towards
    0:25:18 their following tab at this point than therefore you, because that algorithm to me seems like
    0:25:23 it’s more and more tuned to just promote sensational content of a bunch of people that I’ve never
    0:25:24 seen before.
    0:25:25 Okay.
    0:25:29 Mike, honestly, when you read the news that Elon Musk says, “We’re going to get 100 people
    0:25:38 in Austin to address these issues on Twitter,” did you or did you not start laughing?
    0:25:40 This is a yes or no.
    0:25:41 Did I start?
    0:25:42 I sighed.
    0:25:43 Let’s say that I sighed.
    0:25:44 Yeah.
    0:25:45 Yeah.
    0:25:51 I think if you want to do that at scale, you need to fund it at a better level.
    0:25:52 I think it’s complex.
    0:25:54 I do think it’s complex.
    0:25:57 I do think that even old Twitter never quite had it right.
    0:26:04 It’s a hard thinking about how to do moderation, how to do labeling, how to do contacts, how
    0:26:06 to do all these various things.
    0:26:07 It’s a lot more difficult.
    0:26:13 I think that people recognize, you’re always looking at these competing goods that you’re
    0:26:17 trying to protect, and you’re trying to do that in this fast-paced environment where
    0:26:20 you’re making decisions in the moment.
    0:26:26 I think from the perspective of our book, I think for the time being, you’re a little
    0:26:27 bit on your own.
    0:26:37 I hope we come to a future where context is rightly seen as a core competitive advantage
    0:26:41 and community feature for any information offering.
    0:26:45 We don’t see this as something that is an add-on, but we see, look, people are coming
    0:26:47 to this for information.
    0:26:53 Information has to be contextualized, and we should compete by providing the best contextual
    0:26:55 engine for that information.
    0:26:56 That means labels.
    0:26:58 That means a well-staffed team, et cetera.
    0:26:59 But we’re not there yet.
    0:27:01 I don’t think people fully understand that.
    0:27:09 My solution to this is that by default, a social media’s home feed, i.e., the stuff
    0:27:15 that’s flying past you, it should be only the people you have manually followed.
    0:27:18 Because at least that way, you can control.
    0:27:24 If I only want to follow the New York Times, Washington Post, and NPR, I don’t want you
    0:27:32 shoving shit into my feed from Rudy Giuliani and whatever, QAnon and all that.
    0:27:34 It seems to me that would go along.
    0:27:36 I would pay for that service.
    0:27:41 I also like a platform called Blue Sky, and it’s got this idea of the customized feed
    0:27:45 and you opt into a default feed, which is more or less what you’re saying.
    0:27:48 Everybody in that feed, you’re following, and it has a very simple algorithm you can
    0:27:49 understand.
    0:27:55 So Blue Sky algorithm was people you follow in content that got 12 lights, 12 was the
    0:27:57 magic number for a while.
    0:27:59 And then, yeah, you could choose other feeds.
    0:28:02 If you want to go a little wider, you could go a little wider.
    0:28:05 If you want people you don’t know who are talking about sports teams that you like,
    0:28:10 but maybe not specifically with a hashtag, you got something that pulls that all together.
    0:28:14 So I do think that thinking about the user experience in that way is probably the future
    0:28:15 there.
    0:28:20 But right now, yeah, right now, a lot of platforms is one feed and on Twitter, a lot of feed.
    0:28:26 Okay, so next loaded question.
    0:28:33 What do you make of Facebook blocking searches on threads about COVID?
    0:28:37 And they’re saying that, oh, you can’t search for the word COVID because it’s going to lead
    0:28:38 to disinformation.
    0:28:41 Honestly, my head is exploding.
    0:28:43 This is Facebook telling me this.
    0:28:45 Yeah, I don’t think it’s good, obviously.
    0:28:50 Generally, you do want people to be able to find the information they need on the platforms
    0:28:51 that they’re on.
    0:28:56 I think the current policy environment is such, and the current political environment
    0:29:01 is such that there are some subjects that are just a headache to these platforms.
    0:29:04 Yeah, I look at Facebook decisions like that.
    0:29:10 And what I see is not someone that wants to be like some sort of Orwellian 1984, I see
    0:29:16 a company that keeps on getting called in front of Congress half the time by Democrats
    0:29:21 and half the time by Republicans is worried it has a lot of headache doesn’t actually
    0:29:27 sell, they’re not selling a lot of ads next to COVID information and just would like the
    0:29:29 headache to go away.
    0:29:34 But I don’t think it’s a great solution because, you know, I mean, it’s a great solution.
    0:29:38 If your site was like about knitting and a bunch of people are posting about COVID, you
    0:29:42 might just say, look, no more COVID stuff on the knitting site, it’s a headache, I don’t
    0:29:43 want to deal with it.
    0:29:47 But if your site’s Facebook, that’s different, I don’t think it’s a great solution.
    0:29:49 Up next on Remarkable People.
    0:29:54 You ask an academic going and looking at a new area that is adjacent to theirs, like
    0:29:57 they’re trying to flex into a new area and they’re trying to understand, like, what are
    0:30:02 some of the consensus opinions of this field, they go to Wikipedia sometimes because you’re
    0:30:07 going to get a really clear summary there of what that is.
    0:30:12 Become a little more remarkable with each episode of Remarkable People.
    0:30:18 It’s found on Apple Podcasts or wherever you listen to your favorite shows.
    0:30:24 Welcome back to Remarkable People with Guy Kawasaki.
    0:30:29 Since we brought up the subject of COVID, so let me ask you, Mike, let’s say that one
    0:30:36 day you wake up and your ears are ringing, okay, and never been ringing before.
    0:30:38 Now they’re ringing.
    0:30:44 So you, Mike Caulfield, where do you go on the internet to investigate this ringing in
    0:30:45 your ears?
    0:30:49 I probably go to Dr. Google, like everyone else.
    0:30:50 And?
    0:30:51 Yeah.
    0:30:55 The first search that you’ll do will tell you that just as you suspected, it proves you
    0:30:56 have cancer.
    0:31:00 And then you got to think about what you did wrong with that search.
    0:31:02 So yeah, this is the thing.
    0:31:06 You do a search, you get a set of search results back, and one of the things that we really
    0:31:10 encourage people to do is look at that set of search results and think, is this, not
    0:31:12 is this the answer I want?
    0:31:16 That’s not what you want to engage in, but is the set of sites coming back, the sorts
    0:31:21 of sites I want, and are they talking about the things that I actually expected they’d
    0:31:22 be talking about?
    0:31:23 Yeah.
    0:31:27 I do joke that sometimes when you go to Google and search your symptoms, it always seems
    0:31:31 like you’ve got some tragic illness at first, and then it turns out maybe you just have
    0:31:32 swimmers here.
    0:31:36 But you put in your symptoms, sure, and you execute that search.
    0:31:39 And then you look at that page, and one of the things you want to do, one of the things
    0:31:43 that Google has now is these three little vertical dots on each result.
    0:31:48 And if you’re trying to figure out, hey, who on this page might I want to get an answer
    0:31:49 from?
    0:31:52 You can click on those dots and you can find out, oh, look, this particular center is a
    0:31:53 community hospital.
    0:31:57 This particular site I have no information on, I don’t know who they are.
    0:32:01 This particular site is a well-known site that sells supplements, right?
    0:32:05 And so you can kind of browse and you can kind of figure out where you want to go.
    0:32:09 Just what you want to do in that case is you do the search.
    0:32:13 You find something that seems like it’s a good source of information.
    0:32:15 You check on the vertical dots.
    0:32:20 You go to that site and maybe you do a search on that site, if you’re on the myoclinic or
    0:32:21 something like that.
    0:32:26 Maybe you do an internal search on the myoclinic at the point you find a site that you trust.
    0:32:31 And also we talk about in this book, don’t give Google tells.
    0:32:36 Don’t give it clues of what you want to hear, what you expect to hear, what you’re worried
    0:32:37 about hearing.
    0:32:39 Try to be very bland with it.
    0:32:43 So yeah, again, if you type in ears ringing, is it cancer?
    0:32:47 You’re going to get a lot of pages back that tell you yes, it’s cancer.
    0:32:52 If you type ears ringing, common explanations, you’re going to maybe get something that might
    0:32:56 be a better first stop.
    0:33:00 How about we’ll tumor cure the ringing in my ears?
    0:33:01 Exactly.
    0:33:06 You put those words together, like in general, you’re more likely to get something back that’s
    0:33:08 going to say that.
    0:33:11 If you wanted to do that, again, you can cue Google in these ways.
    0:33:15 You’re just trying to add words that Google has a synonym engine now too, so you don’t
    0:33:17 have to be perfect with this.
    0:33:22 You just try to put words that try to signal to Google the type of answer that you’re looking
    0:33:23 for.
    0:33:28 So if you wanted to put, would this spice cure cancer, and you really wanted to know,
    0:33:33 you might put something like fact check after it, to say, look, I’m not looking for something
    0:33:37 that says this, I’m looking for something that investigates this, right, that actually
    0:33:38 checks this.
    0:33:42 So you’re going to use various, we call them bare keywords, don’t get too fancy, there’s
    0:33:47 a whole Google syntax, I would not bother to learn it because my experience with other
    0:33:49 people has been, they forget it.
    0:33:54 Invest your time thinking about, look, I have my query, what’s a word that’s going to signal
    0:33:56 the sort of genre of thing I want back?
    0:34:00 Is it the spice cures cancer, fact check, is that what you’re looking for?
    0:34:03 Is it the spice cures cancer, something else?
    0:34:05 Why do people think this sort of thing?
    0:34:09 Come up with a keyword that kind of cues Google to give you the sort of answer.
    0:34:16 I want you to explain this, you’re telling me that if I ask a question like that, and
    0:34:22 I add the two words, fact check, I’m going to get a better response.
    0:34:25 If you want a fact check, you’re going to likely get a fact check.
    0:34:30 Oh man, this is worth the price of admission, I didn’t know that.
    0:34:35 And it’s not anything like built into Google, it’s just the fact that two things, one, when
    0:34:39 you put in fact check, Google has a synonym engine that it runs things through.
    0:34:44 So it goes, it looks not only for fact check, it looks for things that might be synonyms
    0:34:49 of fact check and so forth, it comes up with a series of terms that it expands and it sends
    0:34:50 out there.
    0:34:57 If your search has that and fact check, reality check, checking the truth, whatever it is,
    0:35:00 it goes in and it put ages to have it to the top.
    0:35:07 So what if I said Donald Trump won the election, fact check, what would happen?
    0:35:11 You would get a fact check that would say probably, I think, I hope would say that Donald Trump
    0:35:16 won the election in 2016 and did not in 2020.
    0:35:17 Okay.
    0:35:18 Yeah.
    0:35:23 How much credence do you give Google News as opposed to Google?
    0:35:25 I used to like Google News quite a bit better.
    0:35:30 It was a little more integrated with the main product, which means that you could jump back
    0:35:31 and forth.
    0:35:33 Now, it’s an interesting thing right now.
    0:35:41 I generally find that if you use keywords, these bare keywords in the Google search,
    0:35:47 like write the subject you want and write, if you want a newspaper article, write like
    0:35:50 newspaper article and it goes through, does this whole cinnamon thing, cinnamon, cinnamon,
    0:35:51 cinnamon thing.
    0:35:55 And he says, I find it gives you pretty good results.
    0:36:00 If it doesn’t, then I do say, well, okay, if it’s not getting what you want, maybe go
    0:36:02 to Google News.
    0:36:08 But Google News right now is this hybrid of a sort of a news reading environment and a
    0:36:11 search engine and a number of other things.
    0:36:13 There’s some good features in it too.
    0:36:18 I generally stop at Google First and then I go to Google News if it hasn’t worked out.
    0:36:21 And what about Google Scholar?
    0:36:22 Google Scholar can be really helpful.
    0:36:28 There’s a lot of criticism of Google Scholar, some of the ways that it calculates citations
    0:36:31 and everything are as perfect as some of the old, more manual ways.
    0:36:33 Certain things in there can be gamed.
    0:36:38 There’s a recent paper out on gaming, gaming Google Scholar through a variety of means.
    0:36:39 So it’s not perfect.
    0:36:44 Again, part of it is in this sort of world of is this what I think it is?
    0:36:49 If someone says they’re a published academic on some subject, go into Google Scholar and
    0:36:52 say, hey, did this person write anything and did anybody cite it?
    0:36:53 That’s pretty good.
    0:36:57 You can also type in, if you’re interested in a journal, type in the name of a journal
    0:37:03 into Google and type in the words impact factor, which is like a number that people use to
    0:37:04 measure journal influence.
    0:37:06 It’s not a precise number.
    0:37:10 It just tells you for every article published, how many times is it cited?
    0:37:15 You take all the articles in a journal over time and then you look at how many times that
    0:37:16 journal was cited.
    0:37:18 What’s that ratio?
    0:37:22 But yeah, if it has no impact factor, I worry.
    0:37:29 And will this impact factor, will it show you that there’s now like scientific journal
    0:37:35 farms where you pay to get published so that you’re cited and you can cite something?
    0:37:43 And will Google Scholar tell you that this is a PO box in St. Petersburg that has published
    0:37:47 2,000 articles about turmeric and tinnitus?
    0:37:50 Yeah, Google Scholar won’t tell you that.
    0:37:52 I know that they’re trying to.
    0:38:00 As you probably know, every online information service is just a history of a war with some
    0:38:02 form of spam.
    0:38:04 And Google Scholar is exactly the same way.
    0:38:08 There’s ways to spam that system and get stuff to look like it has more credibility than
    0:38:09 it might.
    0:38:13 But that does tend to be at the margins still.
    0:38:19 And the other pieces, you don’t necessarily have to use one method.
    0:38:25 One of the things that people have misconstrued about science and scientific articles is,
    0:38:28 “Oh, you’re going to read one article and it’s going to give you the answer,” and that’s
    0:38:29 what science is.
    0:38:34 Like, “Oh, there was a scientific article that showed X,” and the news kind of follows
    0:38:36 the same trend.
    0:38:39 And that’s not really how things work.
    0:38:43 What actually happens is this article seems demonstrated, this article seems denied, this
    0:38:48 article pulls together the articles that seem denied and the articles demonstrated into
    0:38:52 something called a meta-analysis and the sort of progress of things like this.
    0:39:01 People tend to get too caught up on the individual article that proves everything rather than
    0:39:05 like, “When I survey this area, what do the bulk of people say?”
    0:39:07 You don’t have to agree with the bulk of people.
    0:39:11 I’m well-known for disagreeing with the bulk of people many times.
    0:39:16 But you do got to know like what the sort of consensus is, you got to know before you
    0:39:18 go against the consensus, you got to know what it is.
    0:39:25 And so we do recommend something called zooming out, which is rather than jump immediately
    0:39:31 into, “Oh, I found this article that shows XYZ,” step back and try to say, “Okay, what
    0:39:32 do the bulk of people say?”
    0:39:37 Like, “Can I find an article that summarizes what the research has set up to now?”
    0:39:39 Sometimes that place is Wikipedia.
    0:39:44 Sometimes one of the things that we have found in talking to academics, as much as academics
    0:39:48 suspect Wikipedia when they’re teaching their students, they think it’s a little fishy,
    0:39:53 asking academic going and looking at a new area that is adjacent to theirs, like they’re
    0:39:56 trying to flex into a new area and they’re trying to understand like, “What are some
    0:39:59 of the consensus opinions of this field?”
    0:40:03 They go to Wikipedia sometimes because you’re going to get a really clear summary there of
    0:40:05 what that is.
    0:40:07 Okay, last question for you.
    0:40:11 So I got to tell you, I don’t know which way I should ask this because what I’m trying
    0:40:13 to get at is this.
    0:40:20 If you’re a parent, what would you tell your kids are the best practices for figuring out
    0:40:21 the truth?
    0:40:27 But I also could make the case that if you’re a kid, what do you tell your parent about how
    0:40:29 to figure out what’s the truth?
    0:40:31 So just give us a checklist.
    0:40:33 These are the best practices.
    0:40:35 All right.
    0:40:40 So you want to know who produced your information, where it came from, and you want to know if
    0:40:44 there’s a claim being made, if there’s some sort of assertion being made.
    0:40:47 You want to know what other people that are what we call in the know, that have some sort
    0:40:51 of more than usual knowledge about the thing, you want to know what they think of that claim.
    0:40:52 And that’s just where you start.
    0:40:55 Like you should know where your information came from.
    0:40:58 You should know what other people have said about that issue.
    0:41:03 And if you make sure that you’re doing those two things when you enter a new information
    0:41:05 domain, you’re going to do better.
    0:41:09 If you don’t do that, what happens is you get pulled down this sort of garden path of just
    0:41:11 never ending evidence.
    0:41:17 Some people criticize me for when I talk about this as the rabbit hole, but the rabbit hole,
    0:41:22 it’s not even whether the rabbit hole is true or not, the sort of conspiracies rabbit hole.
    0:41:26 It’s that if you find yourself being pulled from piece of evidence to piece of evidence
    0:41:29 to piece of evidence to piece of evidence, and you’re never backing up and you’re saying,
    0:41:30 hey, where did this come from?
    0:41:32 Who produced it?
    0:41:33 Number one.
    0:41:35 And then two, what’s the bigger picture here?
    0:41:36 What do people in the know say about this?
    0:41:37 What should I know?
    0:41:43 I end up endlessly doing what I call evidence foraging, but you’re not getting any benefit
    0:41:44 to it.
    0:41:45 It’s almost compulsive.
    0:41:47 So what you want to do is you want to think about those two things.
    0:41:52 You want to select the stuff you’re consuming a little more carefully and intentionally.
    0:41:57 In the second to last chapter in the book, we talk about some of that as critical ignoring.
    0:42:02 Figuring out rather than just drink off the fire hose of the internet, figure out what
    0:42:09 you want, figure out what you would think would constitute good evidence, good sources,
    0:42:12 invest the effort to figure out if that’s what you’re doing, or if you’re just sort
    0:42:16 of running from quick hit to quick hit on TikTok.
    0:42:25 And just for greater practicality and usefulness, when you say go and find out what people in
    0:42:32 the know are saying or what’s the sort of common understanding of something, where do
    0:42:33 you get that?
    0:42:34 Yeah.
    0:42:35 Yeah.
    0:42:36 You probably start.
    0:42:41 This is not the end of it, but you probably start with typing in something like history
    0:42:44 of Israel Gaza summary.
    0:42:49 And then looking at that page and saying, okay, according to my own standards, which one of
    0:42:50 these would be the best?
    0:42:53 And one of the things I want to stress is you might want something that’s very dry.
    0:42:57 You might want something that has a little bit of an activist lean, but knowing what
    0:42:59 you’re looking at, choosing that.
    0:43:03 And so what’s happening there is you’re in this sort of TikTok loop where you’re in this
    0:43:08 little Twitter doom scroll, and you’re taking your agency back.
    0:43:11 You’re stopping and you’re saying, okay, where did this come from?
    0:43:16 If it’s not the sort of thing I want when I search Google or grow somewhere else, then
    0:43:17 what do I want?
    0:43:20 And then usually you’re using some form of search to get there.
    0:43:25 But it’s about taking your agency back and asking those important questions.
    0:43:30 And if you don’t get good answers to them, deciding to go somewhere else.
    0:43:31 Okay.
    0:43:37 Listen, I think your book and the work you’re doing literally could help save the world.
    0:43:41 And Matt, I hope every school teaches a course like this.
    0:43:42 I mean, wow.
    0:43:44 Yeah, we do too.
    0:43:47 So that’s my Caulfield.
    0:43:54 I hope you learned a few things about sifting through what we hear and see and read online
    0:43:58 to help us determine what to believe and what not to believe.
    0:44:04 Don’t forget to check out his book called Verified, along with Sam Weinberg, another
    0:44:06 remarkable people guest.
    0:44:11 So, honored you go, Seeking the Truth, I’m Guy Kawasaki.
    0:44:17 This is Remarkable People, my thanks to the rest of the Remarkable People team.
    0:44:24 That would be Shannon Hernandez and Jeff See, Sound Designers, See, Not Sift, See.
    0:44:29 And then there’s Madison Neismar, producer and co-author of Think Remarkable.
    0:44:32 That’s the book you all should read.
    0:44:39 Tessa Neismar is our researcher, and then there is Louise Magana, Alexis Nishimura,
    0:44:40 and Fallon Yates.
    0:44:48 We are the Remarkable People team and we are on a mission to make you remarkable.
    0:44:52 Until next time, mahalo and aloha.
    0:44:57 This is Remarkable People.

    In this compelling episode of Remarkable People, Guy Kawasaki sits down with Mike Caulfield, a renowned research scientist from the University of Washington’s Center for an Informed Public. Caulfield introduces his groundbreaking SIFT methodology, a crucial tool in the fight against online misinformation that empowers educators and learners to critically assess online content. Discover how SIFT – which stands for Stop, Investigate the source, Find trusted coverage, and Trace back to the original – can help you navigate the complex world of digital information. Caulfield also discusses his book Verified: How to Think Straight, Get Duped Less, and Make Better Decisions about What to Believe Online, co-authored with fellow Remarkable People guest Sam Wineburg. Join us as we explore the importance of digital literacy and learn practical strategies to determine what to believe in an era of information overload.

    Guy Kawasaki is on a mission to make you remarkable. His Remarkable People podcast features interviews with remarkable people such as Jane Goodall, Marc Benioff, Woz, Kristi Yamaguchi, and Bob Cialdini. Every episode will make you more remarkable. 

    With his decades of experience in Silicon Valley as a Venture Capitalist and advisor to the top entrepreneurs in the world, Guy’s questions come from a place of curiosity and passion for technology, start-ups, entrepreneurship, and marketing. If you love society and culture, documentaries, and business podcasts, take a second to follow Remarkable People. 

    Listeners of the Remarkable People podcast will learn from some of the most successful people in the world with practical tips and inspiring stories that will help you be more remarkable. 

    Episodes of Remarkable People organized by topic: https://bit.ly/rptopology 

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