Author: Freakonomics Radio

  • EXTRA: Here’s Why You’re Not an Elite Athlete (Update)

    AI transcript
    0:00:10 Hey there. It’s Steven Dubner. The 2024 Summer Olympics in Paris are ending, and if you’re
    0:00:16 like me, you have not been competing in them. Watching, maybe, but not competing, because
    0:00:24 most of us are normal people, and world-class athletes are different. We made an episode
    0:00:27 about this difference some years ago, and I thought it might be a good time to hear it
    0:00:35 again as a bonus episode. We’ve updated facts and figures as necessary. As always, thanks for listening.
    0:00:46 You cannot be afraid to fail. I had never been in an environment that was so emotionally charged.
    0:00:50 That could be the reason you’re telling your second grade daughter that she’s moving next week.
    0:00:54 The fight started, and I hit her as hard as I could, and she actually fell down.
    0:00:57 I have an eight-year-old son. There’s no way I’d let him play tackle football.
    0:00:59 I want to leave this sport being known as a bad mother.
    0:01:14 Maybe you are an obsessive sports fan, or maybe a more casual fan, and you follow
    0:01:19 just a couple sports or teams. Or maybe you pay no attention to sports, and you only see it when
    0:01:25 the Olympics are on somebody else’s TV. Whichever the case, when you do see those athletes,
    0:01:32 it’s easy to think of them as existing solely in that context. As a full-grown adult, wearing a
    0:01:39 uniform, performing under extraordinary pressure, focused on a highly specialized task that has
    0:01:46 zero to do with daily life, or at least your daily life. But is that who those people really are,
    0:01:52 and how they get so good at this thing they do? When you see them on TV, all you’re seeing
    0:01:59 is the outcome. But what are the inputs? We understand that elite athletes represent some
    0:02:04 magical combination of talent and determination. But what about, say, luck?
    0:02:10 Oh my gosh. Yes, absolutely. I think a ton of luck is involved.
    0:02:16 That’s Sean Johnson, an American gymnast who’s won an Olympic gold medal and many other top honors.
    0:02:22 It’s kind of like this miracle math kind of equation that has to equal the perfect answer.
    0:02:27 I mean, you can’t get hurt, you have to be healthy, you can’t have the flu on the wrong day,
    0:02:31 you have to find the right coach in the right city, you have to be a little afforded.
    0:02:36 It’s all these random things. And when you get all the people who fit that equation,
    0:02:42 you’re not left with many people. So I guess I was just the best of the very few who fit that
    0:02:50 equation. Today on Freakonomics Radio, becoming an athlete. Time to step back and try to understand
    0:02:55 how these people rose to such heights. How scientific is the process? How predictable?
    0:03:00 We’ll look at a number of factors, including, of course, raw talent.
    0:03:04 My parents are both super-study athletes. Yep, I think the gift is number one.
    0:03:11 We’ll look at will and determination. I did a bunch of push-ups and sit-ups that night until
    0:03:17 I was throwing up. And the mental aspect of this most physical pursuit.
    0:03:25 I think the mind is as big of a separator for professional athletes as any physical tools.
    0:03:29 We’ll hear stories of opportunities gained and lost.
    0:03:38 In 1981, there was 18.7% African-American players in the major leagues. As of 2018, 7.8%.
    0:03:42 And we’ll hear one story that’s almost too good to be true.
    0:03:46 They said, “Hey, you are blowing up on Twitter. You’re blowing up on Instagram.
    0:03:49 You’re everywhere and you just have no idea.”
    0:04:10 This is Freakonomics Radio, the podcast that explores the hidden side of everything
    0:04:12 with your host Stephen Dubner.
    0:04:27 When you see an elite performer in any field, sports or music or surgery, whatever,
    0:04:31 it’s natural to ask yourself a question. How would they get so good?
    0:04:33 How much of that ability were they born with?
    0:04:36 How much is attributable to hard work and practice?
    0:04:40 This is a debate that has been going on probably forever.
    0:04:45 Nature versus nurture, raw talent versus what’s called deliberate practice.
    0:04:48 We’ve had that debate on this program in episode 244 called
    0:04:51 How to Become Great at Just About Anything.
    0:04:57 Too often, this debate ends up obscuring what strikes me as a pretty obvious fact.
    0:05:02 To become great at anything, you need both talent and practice, lots of each.
    0:05:06 But even that fact seems pretty narrow, don’t you think?
    0:05:11 Because athletic success, like any success in life or any failure,
    0:05:14 it’s what you might call multifactorial.
    0:05:17 A lot of inputs, a lot of variables.
    0:05:24 Imagine you’ve got two athletes with identical talent levels and identical training methods.
    0:05:28 Do you really want to make a big bet that their athletic careers also end up identical?
    0:05:35 As much as we might want to turn the pursuit of success into science, into a recipe,
    0:05:40 real life is more nuanced than that. Also, more interesting.
    0:05:49 So, I mean, Jay-Z sold drugs, grew up in Marcy projects to a single mother.
    0:05:53 That’s Dominique Foxworth, who played six seasons in the NFL.
    0:06:03 Now, he is a multi-millionaire married to Beyonce, the most amazing talent we have today.
    0:06:09 So, why don’t we set it up so that all young men must sell drugs when they’re kids
    0:06:14 and have only their mother and grow up in Marcy projects in Brooklyn, New York?
    0:06:22 He had a great talent, and to be honest, there’s probably a great deal of luck.
    0:06:26 He happened to not be there when one of his friends got arrested and his friend didn’t
    0:06:31 snitch on him. That is a lot of luck. And I think the same thing is true for me.
    0:06:35 Like, I can go through the course of my life and look at all the things that happened,
    0:06:39 that were just happenstance that led me to these positions.
    0:06:42 And I’m not going to say that it’s a model that should be followed.
    0:06:48 I understand that there are occasional outliers, but trying to build around that seems crazy.
    0:06:54 So, okay, we are not going to arrive at some perfect model for turning an ordinary person
    0:06:59 into a world-class athlete, but we’ll do our best to describe some of the inputs
    0:07:04 that seem to be strong contributors. Let’s start with physical ability.
    0:07:09 It may not surprise you to learn that a lot of elite athletes exhibited a pretty high baseline
    0:07:15 level of talent from an early age. Mark Tashara, for instance, a three-time Major League Baseball
    0:07:19 All-Star. Yes. And most kids grow up being, you know,
    0:07:22 if you’re an elite athlete, you’re going to be the best kid on your team.
    0:07:26 I’ve played every sport as a kid. Was baseball your best sport from the outset?
    0:07:30 Always was. And I actually enjoyed playing basketball more. I played backyard football.
    0:07:36 I played soccer, tennis. But I was always good at baseball. So, I knew baseball was going to be,
    0:07:41 you know, a sport for my future. Athletic talent is considered one of the more heritable traits
    0:07:46 passed from parent to child. In Super Free Economics, one of the books I wrote with the economist
    0:07:51 Steve Levitt, we performed a rough calculation showing that if a Major League Baseball player
    0:07:58 has a son, that boy is about 800 times more likely than a random boy to also make the majors.
    0:08:04 So, it may not surprise you that a lot of the athletes we’ve been interviewing for the series
    0:08:10 came from athletic families. Here’s Kerry Walsh Jennings, who’s won three Olympic gold medals
    0:08:15 in beach volleyball. Oh, man. Well, my life has literally been family and sports,
    0:08:20 like from day one, I think, from birth. My parents are both super-study athletes. They
    0:08:25 both come from very athletic families. My parents are both athletic.
    0:08:27 And that is the Alpine skier, Michaela Schifrin,
    0:08:34 who has won two Olympic gold medals and has more World Cup wins than any skier in history.
    0:08:40 My mom is extremely athletic, and even now she’s had knee surgeries and hand surgeries
    0:08:44 and neck surgeries and everything, but she’s still such an incredible athlete.
    0:08:48 Well, I mean, my dad kind of did every sport when he was growing up.
    0:08:51 And the gold medal gymnast, Sean Johnson.
    0:08:57 He was a hockey player. He wrestled. He did BMX. He raced MotoX. I mean, everything.
    0:09:03 Just how powerful is the sports gene? David Epstein is a science journalist and author
    0:09:09 of a book called The Sports Gene. In it, he tells the story of a man named Donald Thomas.
    0:09:15 Donald is about six-two lean Bahamian guy.
    0:09:20 Thomas played basketball at a small college in Missouri, but he was far from an elite player
    0:09:26 and the college program was far from elite. One day in the gym, he was bragging about how high
    0:09:33 you could jump. And the best jumper on the track team, a guy named Carlos, overheard him and said,
    0:09:37 you know, you’re talking all that trash. You wouldn’t even clear a bar of six foot six in a
    0:09:43 real competition. And Donald says, yes, I would. So they go out to the track and Carlos sets the
    0:09:49 high jump bar at six feet, six inches. Donald still wearing his basketball sneakers, runs up,
    0:09:57 jumps, clears it easily. Carlos moves the bar higher and higher. Donald keeps clearing it.
    0:10:01 We’re talking about the first high jumps of his life. He’s going over the bar backward,
    0:10:06 of course, which he’d never done before. And Carlos gets the bar to seven feet and Donald
    0:10:09 clears seven feet at which point Carlos is worried he’s going to hurt himself.
    0:10:16 Donald Thomas soon moved on to Auburn University on track scholarship. And not long after that,
    0:10:21 he competed in the World Track Championships. And this is Donald Thomas,
    0:10:27 very much an unknown quantity, really. Thomas was jumping against much more experienced and
    0:10:34 accomplished athletes. And he goes clear. Donald Thomas goes clear at two meters 35, the man that
    0:10:42 started high jump only two years ago. But that is an incredible jump. And not only does he win,
    0:10:48 but he records the highest center of mass jump ever in history. He doesn’t set the
    0:10:52 world record because his form is so bad. He looks like he’s riding an invisible deck chair through
    0:10:57 the air. It turned out that Donald Thomas had a physiological trait, an abnormally long Achilles
    0:11:02 tendon that gave him a big advantage. So there aren’t that many Donald Thomas’s in terms of
    0:11:07 winning the World Championships. But this happens at lower levels all the time, where somebody will
    0:11:12 step in with no or very little background and win some kind of regional or state championship.
    0:11:16 And then those are the people who end up training and going on to become champions.
    0:11:21 David Epstein also writes about the success of talent transfer programs in the UK,
    0:11:26 Australia, China, and elsewhere. Well, they’ll take people who maybe aren’t making a national team
    0:11:29 or making it to the top in a certain sport and say, Hey, why don’t you go try this other stuff?
    0:11:35 Some converted athletes have done remarkably well. The UK won several gold medals in rowing
    0:11:41 and skeleton with athletes who began in other sports. In the 2002 Winter Olympics,
    0:11:46 the Australian Elisa Camplin, a converted sailor, won gold in aerial skiing.
    0:11:53 She wins the Olympic gold medal and was still so poor at skiing that when she was invited to
    0:11:58 ski down the mountain to the gold medal winners press conference, she fell and like rolled down
    0:12:01 the mountain on the winners flowers because she still didn’t know how to ski. I heard she learned
    0:12:04 how to ski later like on vacation, but not by the time she’d won the Olympic gold medal.
    0:12:07 Yep. I think the gift is number one.
    0:12:13 Mark Tashara again. Because without the gift, you can’t take a kid that has zero athletic ability
    0:12:17 and just happens to be a hard worker and he goes to the big leagues.
    0:12:21 But talent on its own, as we all know, it only gets you so far.
    0:12:24 You know, at any given time, there’s a thousand big leaguers out there,
    0:12:30 but there’s probably 10,000 players, whether in college or amateur baseball or low professional
    0:12:34 ranks that are good enough to someday make it. Talent wise, you’re saying.
    0:12:41 Yes. There’s 10,000 talented players with a gift. It’s of those 10,000 players,
    0:12:44 which are the ones that work hard enough, which are the ones that figure it out,
    0:12:49 which are the ones that get it, that make the right decisions and train the right way and
    0:12:53 eat the right way and do preparation for games. Those are the ones that make it.
    0:12:58 The most talented player that I ever saw as an amateur was Corey Patterson.
    0:13:03 And he had a decent big league career, but talent wise, I would kill for his talent.
    0:13:07 Talent wise, there were a ton of guys that I thought had more talent than me,
    0:13:09 but I thought I figured it out.
    0:13:14 My brother was inherently more talented than I was.
    0:13:19 That’s JJ Redick. He played 15 seasons in the NBA and recently became head coach
    0:13:21 of the Los Angeles Lakers.
    0:13:27 He could never shoot the basketball the way that I could, but he could hit a baseball a mile.
    0:13:31 He had a cannon for an arm. My best friend from high school was the same weight.
    0:13:37 You know, certain kids are just, everything sort of comes easy to them and it’s natural to them.
    0:13:44 I have seen some of the most physically gifted and talented gymnasts I think our sport has ever seen.
    0:13:45 Sean Johnson again.
    0:13:51 But they just do not have the mental capability to get themselves to that elite level.
    0:13:56 And it’s not a matter of training them or, you know, getting them to the right sports
    0:13:59 psychologist or getting the right people around them. It’s just, it’s not there.
    0:14:06 So I think you have to be born with some sort of innate ability to, you know,
    0:14:15 push out all pain and emotion and push yourself past a boundary that 99% of the world operates within.
    0:14:20 I remember being in an apartment we lived in in Indianapolis.
    0:14:21 Dominique Foxworth again.
    0:14:25 And I told my father I wanted to be a professional football player.
    0:14:26 He was eight years old.
    0:14:32 And he told me, all right, well, you set a goal, you should do something to get you closer to that goal every day.
    0:14:38 And I took that to heart. So I did a bunch of push-ups and sit-ups that night until I was throwing up.
    0:14:40 It’s like ridiculous.
    0:14:44 What was it that gave Foxworth such an intense drive for football?
    0:14:49 I was in love with the game in part because of how violent it was, honestly.
    0:14:55 And like whatever warped sense of masculinity I had at that age that probably has not fully left me.
    0:15:00 It was like basketball is for the soft kids, football is for the men and I want to play football.
    0:15:03 I just, I trained my ass off.
    0:15:03 I loved it.
    0:15:07 And then when I got in the race, I just, I didn’t want to lose.
    0:15:12 That’s Lance Armstrong, the seven-time Tour de France champion who was stripped of his titles
    0:15:16 when it was proved that he, along with many cyclists of his era, had been doping.
    0:15:21 I’d asked Armstrong what drove him when he was a kid.
    0:15:27 As a 46-year-old and I look back on it and really, really far removed from that part of my life,
    0:15:28 they’re probably things.
    0:15:31 I mean, I didn’t have, I didn’t grow up on the street,
    0:15:36 but I didn’t grow up behind a white picket fence with 2.3 brothers and sisters and an SUV
    0:15:38 and a mom and a dad.
    0:15:44 My mom and I were scrappers and I never met my biological father and I’m not making excuses here,
    0:15:50 but I’m just trying to, you know, there was the only father figures in my life were my coaches.
    0:15:52 Did you, I was going to ask, did you ride angry?
    0:15:58 I don’t mean quite angry, but you were, you know, really cocky and confident.
    0:15:59 All right, angry.
    0:16:02 I didn’t walk around angry.
    0:16:06 I just felt it served me best to be angry.
    0:16:12 The anger part, and I also know that this happens in every locker room of every sport.
    0:16:17 So let’s just say, right, let’s just use Texas football and Oklahoma football.
    0:16:20 It’s the biggest rival where you have the week leading up to the game.
    0:16:26 Those coaches every single day, guess what is posted on the board in the University of
    0:16:28 Texas, Longhorns locker room meeting room.
    0:16:31 It is articles and quotes from the other team.
    0:16:33 We’re going to kick their ass.
    0:16:34 That’s so-and-so player.
    0:16:36 He’s, he’s mediocre in the coaches.
    0:16:37 They love that.
    0:16:41 Hey, Joey, did you see what number 82 said about you?
    0:16:46 And so we, if I didn’t have that, if I didn’t have a rival speaking out
    0:16:50 on the press saying, oh, I saw him strong last week, he looked average or he,
    0:16:52 he looked like he’s passed his best.
    0:16:55 If I didn’t have that, which I did plenty of times, then I’d make it up.
    0:16:57 I’d go read some article.
    0:17:01 I’d say that mother, can you believe that he said that?
    0:17:03 And the next day I’d go out and train.
    0:17:05 And I mean, it would be the only thing on my mind.
    0:17:11 Now it sounds a little toxic, but it made me ride harder, made me train harder, made me hustle.
    0:17:15 You know, I think my insecurity drives me really, really hard.
    0:17:18 You know, Kerry Walsh Jennings again.
    0:17:22 At every kind of leveling up, you know, from eighth grade to high school,
    0:17:25 high school to college, college to the Olympic team, there was a moment,
    0:17:28 there were many moments of insecurity and the transition.
    0:17:31 Many moments of, oh, SHIT, can I do this?
    0:17:32 Am I good enough?
    0:17:34 Oh, it’s exhausting.
    0:17:38 It’s really exhausting.
    0:17:40 I want to leave this sport being known as a bad mother.
    0:17:48 So yes, most of the athletes we’ve heard from were extraordinarily driven and talented,
    0:17:52 but of course, they’ve also had to work incredibly hard at perfecting their craft.
    0:17:54 Most of them, at least.
    0:17:57 Remember Donald Thomas, our high jumping friend?
    0:17:59 And he goes clear.
    0:18:03 Donald Thomas goes clear at two meters 35.
    0:18:06 David Epstein interviewed Thomas’s college track coaches.
    0:18:11 They said they would usually find him like outside, you know, shooting free throws
    0:18:13 when he was supposed to be inside learning how to high jump.
    0:18:18 Most athletes, however, do train incredibly hard, in part because they’re not allowed not to,
    0:18:21 by their coaches, their teams, maybe their parents.
    0:18:23 But of course, they also push themselves.
    0:18:26 I think it’s about how much you want it, how much you love it,
    0:18:29 and how much you’re willing to sacrifice for it.
    0:18:33 Mike McGlinchey is an offensive lineman on the NFL’s Denver Broncos.
    0:18:35 I was never the best athlete on my team.
    0:18:40 I’m still not the best athlete on my team here, but I’ve always wanted it more.
    0:18:42 I’ve always worked harder than everybody else.
    0:18:46 And just attention to detail and the things that you need to know how to self-correct.
    0:18:47 You need to know how to learn.
    0:18:53 Knowing how to learn is particularly valuable when the skills you’re trying to learn are unusual.
    0:19:00 Playing offensive line is one of the more unnatural human movements on earth in sport,
    0:19:01 I think.
    0:19:04 You’re required to move other large men out of the way.
    0:19:07 And when you’re trying to stop them in past protection,
    0:19:08 you’re completely moving backwards.
    0:19:11 So it’s a really, really different thing to have to learn how to do.
    0:19:13 And until your body can feel it,
    0:19:17 until you can watch it on film and self-diagnose right when things happen,
    0:19:19 that’s where the separation comes in.
    0:19:21 Swimming is like pretty difficult.
    0:19:28 That’s Simone Manuel, who won two gold and two silver medals at the 2016 Olympics.
    0:19:33 Because you’re in the water, which is like totally defying gravity,
    0:19:36 you have to work out every day.
    0:19:39 Because if you’re out the water for one day, even when I take my day off on Sunday,
    0:19:42 when I come back Monday morning, I feel terrible.
    0:19:49 And you have to kind of practice all of those aspects of the sport on a regular basis.
    0:19:51 Or else you’re not going to improve.
    0:19:57 There’s also the fact that the training opportunities in some sports are inherently constrained.
    0:20:00 Ski racing is a really unique sport in many ways.
    0:20:01 McKill’s shifrin.
    0:20:06 When you think about it, the actual time that I spend or any racer spends
    0:20:11 on the hill actually skiing during a day of training,
    0:20:16 let’s say you get one course length is about 60 seconds long,
    0:20:19 and you get seven runs in one training session.
    0:20:24 And that takes about somewhere between three to five hours,
    0:20:26 depending on how long the chairlift takes.
    0:20:30 So you’re adding up about seven minutes total of practice in your sport
    0:20:32 for the entire training session,
    0:20:38 which is comparative to say three to five hours of somebody playing tennis in a single session,
    0:20:42 which makes me feel like the deliberate practice component is that much more essential.
    0:20:46 You know, there’s skiers out there, teammates of mine in the past,
    0:20:52 who spend their time from the top of the chairlift to the top of the race course.
    0:20:56 It could be half of a trail length that they’re skiing down,
    0:20:59 and they’re just kind of like flailing about and doing whatever.
    0:21:02 And I was like doing drills to the top of the course,
    0:21:05 trying to make use of every square inch of space on the mountain.
    0:21:10 Every time I’m deliberately practicing skiing and my technique and everything,
    0:21:13 then I’m kind of getting a one-up on everybody else who’s not.
    0:21:20 Because it’s so demanding to master the skill set that accompanies each sport,
    0:21:23 whether it’s skiing or swimming or football,
    0:21:27 you can imagine an aspiring athlete would want to spend as much time as possible on
    0:21:32 that skill set and not waste time on, say, other sports.
    0:21:35 This has become a huge debate in youth sports.
    0:21:40 At what age should an athlete stop playing other sports and commit to theirs?
    0:21:44 And once they do commit, is it definitively better to spend most of your time
    0:21:46 in deliberate structured practice?
    0:21:50 Or what about a more free-flowing, unstructured environment,
    0:21:52 what’s sometimes called deliberate play?
    0:21:59 You know, I totally agree with this notion that there’s something to be gained from less structure.
    0:22:03 That, again, is JJ Redick, now coach of the LA Lakers.
    0:22:06 As an example, he brings up his former teammate Jamal Crawford.
    0:22:11 Jamal is one of the best ball handlers in NBA history.
    0:22:13 He’s had a fantastic career.
    0:22:16 Jamal will tell you he’s really never done a drill.
    0:22:21 He’s never done a ball handling drill, but he has incredible ball handling skills.
    0:22:28 And he’s done that through just playing pickup or taking a basketball around his neighborhood
    0:22:34 when he was growing up and literally putting moves on bystanders as he passed them in the street.
    0:22:40 Redick’s own view on unstructured versus structured practice evolved over time.
    0:22:42 I had a teammate in Orlando.
    0:22:43 His name was Anthony Johnson.
    0:22:45 I played with him for two years.
    0:22:45 He was much older.
    0:22:48 This was early in my career.
    0:22:52 And about five years after we’d stopped playing together, I met up with him for lunch
    0:22:56 and I was telling him about all the workouts I was doing that summer.
    0:23:01 And he said to me, “Dude, don’t worry about being the best workout guy.
    0:23:03 Worry about being the best player.”
    0:23:06 And it kind of annoyed me when he said that.
    0:23:12 But I’ve thought about him saying that probably 50 times over the last five years.
    0:23:14 For me, part of it is I want structure.
    0:23:16 I feel like I thrive in structure.
    0:23:17 I like having a plan.
    0:23:20 I like going to a gym and saying this is what I’m going to work on today.
    0:23:24 But then the other part of it is it’s sport, right?
    0:23:26 There’s something organic about it.
    0:23:29 There’s something that has to flow naturally.
    0:23:32 And if your point of reference is only structure,
    0:23:37 well, the game is not really structured, right?
    0:23:40 You’re constantly reacting to things as they happen.
    0:23:41 There’s nine other players.
    0:23:42 There’s one ball.
    0:23:48 And so I think that’s actually been incredible advice for me over the last five years of my career.
    0:23:55 JJ Redick grew up in rural Virginia and his practice environment then was pretty unstructured.
    0:24:01 My dad put up a hoop and it was just for me being in that backyard
    0:24:07 and shooting a basketball and seeing it go through the net became just an obsession.
    0:24:12 And it’s something that I wanted to do over and over again and repeat over and over again.
    0:24:18 When we spoke with Redick, he was trying to reconnect with that unstructured practice environment.
    0:24:25 You get a safe place to work on your weaknesses and improve those weaknesses.
    0:24:31 Look, if I go into a gym and I’ve got 30 people in the gym watching,
    0:24:36 it’s a little nerve wracking to work on your weaknesses in front of people
    0:24:40 in a structured setting, but alone, away from any lights.
    0:24:45 You know, it’s a more calming experience and you can gain confidence from doing that.
    0:24:53 So what does the research say about the relative benefits of structured versus unstructured practice
    0:24:57 or what you might call deliberate practice versus deliberate play?
    0:25:02 One study of 22 young Brazilian basketball players tried to answer this question.
    0:25:07 The researchers put half the players in organized games with referees and coaches.
    0:25:10 The other half played in unstructured games.
    0:25:14 After 18 sessions, the researchers measured the change
    0:25:17 in the player’s tactical intelligence and creativity.
    0:25:23 The kids in the unstructured practice showed significant gains on both dimensions.
    0:25:27 The kids who played in the structured games showed no improvement.
    0:25:31 It’s just one small study, but it would seem to offer some evidence,
    0:25:35 at least on the youth level, that less structure can be beneficial.
    0:25:40 And how about specialization? A lot of young athletes, and especially their parents,
    0:25:46 seem to think the best move is to pick your sport early and focus solely on that sport.
    0:25:48 Man, it drives me nutty.
    0:25:49 Kerry Walsh Jennings.
    0:25:54 It’s just, I think it’s such a flawed place to come from, specialization in anything.
    0:25:59 Let alone when you’re a child and you’re eight years old, you do not need to pick your sport
    0:26:02 that you’re going to maybe get a college scholarship for.
    0:26:07 You know, and play 365, 24/7, which is mentally and spiritually and physically.
    0:26:09 Just, it’ll crush you.
    0:26:11 So I have a major problem with the way things are right now.
    0:26:17 I absolutely know that I am a great athlete because I did everything growing up,
    0:26:19 and I wanted to be a great athlete.
    0:26:23 Yeah, I was never that child that turned 10 years old and said,
    0:26:29 “Oh my gosh, I need to give up everything and everyone and just commit my life to the Olympics.”
    0:26:31 The gymnast, Sean Johnson.
    0:26:35 I had this, you know, blue collar family, all American, Midwest,
    0:26:38 just kind of parents that wanted me to be normal.
    0:26:42 And they pushed me to be in so many sports and so many activities and
    0:26:49 tried the oboe and clarinet and piano practice and mock trial and all these things that kind
    0:26:51 of distracted me from this Olympic dream.
    0:26:56 But it always gave me this perspective of I love everything, but I love gymnastics more.
    0:27:00 And so whenever I was at gymnastics practice, I focused more than
    0:27:05 any other activity and gave more effort there because I knew that was my favorite.
    0:27:09 There is some research to back up these stories from Johnson and Walsh Jennings.
    0:27:15 So, for example, after the last World Cup, a group of German scientists
    0:27:21 published a study where they attract the development of soccer players in Germany.
    0:27:25 That’s David Epstein, and he’s talking about the 2014 World Cup,
    0:27:30 and found that the athletes who went on to the national team, which by the way won that World Cup,
    0:27:34 had played more different sports when they were younger,
    0:27:39 spent more time in self-structured or unstructured soccer play when they were younger,
    0:27:43 but not more time in deliberately structured soccer training.
    0:27:48 Only by age 22 did they start playing fewer sports and spending more time in structured
    0:27:51 soccer than athletes who plateaued at lower levels.
    0:27:56 So this sort of less structured development turns out to be completely characteristic
    0:27:57 of athletes who go on to become elite.
    0:28:04 Okay, but what if you are a young athlete or the parent of one,
    0:28:09 and your ultimate goal isn’t to become an elite professional athlete,
    0:28:15 but rather to get into an elite university, like one of the top 10 schools in the country?
    0:28:19 You know, I’ve actually been thinking about that exact problem.
    0:28:22 That’s Steve Levitt, my Freakonomics friend and co-author.
    0:28:24 He’s an economist at the University of Chicago.
    0:28:34 By my calculation, about 0.4% of kids, so about one in 250 kids,
    0:28:36 will make it to one of those top 10 schools.
    0:28:38 So it’s a hard, hard goal to do it.
    0:28:41 And I can’t say I thought about the universe of things you could do,
    0:28:46 but I thought about sports, and I stumbled onto something that was pretty surprising to me.
    0:28:52 So the answer, I think, is you want your kid to be a fencer.
    0:28:57 Okay, now you might say that sounds crazy, like this college fencing even existed.
    0:29:02 And the answer is there turned out to be exactly 46 schools that have fencing.
    0:29:07 But the correlation between quality of school and having a fencing team is incredibly high.
    0:29:11 So for instance, among the top 10 ranked schools in the country,
    0:29:17 nine of those 10 have a fencing team. The only exception being my own University of Chicago.
    0:29:21 And each fencing team has quite a few slots to fill.
    0:29:24 There’s three different blades. There’s at bay, there’s saber, and there’s foil.
    0:29:26 And there’s male and there’s female fencing.
    0:29:32 And given that relatively few kids in the US are serious youth fencers.
    0:29:38 So it’s something like 6 or 7% of the kids who ever try to be fencers
    0:29:41 end up being college fencers. Now, I’m not saying they get scholarships,
    0:29:45 but they’re likely to be admitted to college based on their fencing.
    0:29:50 How much does Levitt think fencing increases your chances from that 0.4% baseline?
    0:29:55 So fencing seems to raise that number, holding everything else constant,
    0:29:58 something like 15 bold.
    0:30:01 We should say here that college admissions being what they are,
    0:30:05 fencing doesn’t necessarily increase your chances all that much.
    0:30:09 Your grades would still need to be very, very good to get into those top schools.
    0:30:16 That said, as an admissions sweetener, how does Levitt think fencing compares to other sports?
    0:30:19 My God, if you want to go to an Ivy League school,
    0:30:22 forget about soccer and basketball and football.
    0:30:28 There’s something like 300,000 kids playing high school soccer.
    0:30:32 And presumably any of those kids would love to be college soccer players.
    0:30:37 But the chance of having soccer be your vehicle to get to college as opposed to fencing
    0:30:40 turns out to be about 75 or 80 times harder.
    0:30:43 So how many of your kids have you turned into fencers, Levitt?
    0:30:45 Exactly one. And so far, so good.
    0:30:49 I couldn’t say I really turned him into a fencer.
    0:30:53 He’s strangely enough gravitated towards fencing when he was about nine years old.
    0:30:57 And he fenses at a really good club in Chicago.
    0:31:00 And I don’t know, his grades aren’t that good.
    0:31:05 So he knows, and I know, and everyone else knows,
    0:31:08 if he’s going to go to an Ivy League school, it’s going to be because of fencing.
    0:31:15 Coming up after the break, the story of an athlete who did go to an Ivy League school,
    0:31:20 but when it came time to go pro, that apparently counted against him.
    0:31:25 If he had played at Kentucky or Duke, he would have been a top pick in the draft.
    0:31:26 The problem was he played at Harvard.
    0:31:31 Also, what’s at risk when youth sports become professionalized?
    0:31:33 It just scares me because it’s become so much of a business
    0:31:36 of itself and less about true, true, true development.
    0:31:40 I’m Stephen Dubner. This is Freakonomics Radio.
    0:31:43 And you are listening to a bonus episode, an update from our archive
    0:31:57 called Here’s Why You Are Not an Elite Athlete. We’ll be right back.
    0:31:59 [Music]
    0:32:03 As we’ve been hearing, there are a lot of inputs that go into the production
    0:32:08 of an elite athlete. Talent, drive, the right kind of practice,
    0:32:12 maybe a pair or two to get you to the rink or the gym or the track at 5 a.m.
    0:32:17 And as Sean Johnson told us earlier, you might need some luck.
    0:32:21 I mean, you can’t get hurt. You can’t have the flu on the wrong day.
    0:32:24 You have to find the right coach in the right city.
    0:32:27 I was incredibly lucky to end up with my coaches.
    0:32:28 So how’d that happen?
    0:32:31 It was kind of this freak occurrence.
    0:32:33 My coach was Chinese, born and raised Chinese.
    0:32:36 When he was three years old, he was taken away from his family
    0:32:39 and raised to be an Olympic gymnast.
    0:32:45 And he kind of had this crazy career that I would say almost traumatized him.
    0:32:49 He lost his childhood. He kind of lost his family, this crazy career.
    0:32:56 So when he was 21 years old, he actually left China, came to the United States,
    0:32:59 opened a gym in West Des Moines, Iowa, of all places,
    0:33:06 and had this dream, this American dream, to raise an Olympian or Olympians
    0:33:10 that were also children and had a balance in life and were, you know, fun-loving
    0:33:13 and had a true childhood.
    0:33:15 Johnson had started her training at a different gym.
    0:33:18 And I loved it. It was awesome.
    0:33:22 But Chao, my coach that took me to the Olympics,
    0:33:25 opened up a gym about five minutes from my parents’ house.
    0:33:29 And my parents ended up switching me because it saved gas money.
    0:33:34 And I was really, really blessed to fall under his guidance and his coaching.
    0:33:40 I mean, I was a very, very fortunate child within the gymnastics community
    0:33:45 to have very loving, very, very protective people around me.
    0:33:53 And he, I mean, given today’s society, I can thankfully say that he kept me safe.
    0:33:55 And I am forever grateful for that.
    0:34:01 Chao Johnson’s good luck created good opportunities,
    0:34:05 which she worked hard to parlay into an Olympic gold medal.
    0:34:08 But what about the young athletes who don’t get the right opportunities,
    0:34:14 whether through bad luck or through something much more concrete, like lack of money?
    0:34:20 In 2022, the youth sports industry was worth more than $35 billion.
    0:34:24 It’s expected to hit nearly $70 billion by the end of the decade.
    0:34:28 And a lot of youth sports involve some sort of pay-to-play model.
    0:34:31 Pay-to-play is something that just scares me
    0:34:36 because it’s become so much of a business of itself and less about true, true, true development.
    0:34:38 That’s Brandon McCarthy.
    0:34:43 He was a pitcher in Major League Baseball, seven teams over 13 seasons.
    0:34:45 It’s a tournament in California this weekend.
    0:34:47 The next weekend you go to Nevada and after that it’s Texas.
    0:34:52 I don’t understand how two working parents could ever afford to put their kids through that
    0:34:54 and then take the time to travel with them.
    0:35:00 The theme of economics the last 10 or 15 years has been income inequality
    0:35:03 and connected to that, the rich getting richer.
    0:35:05 It sounds like what you’re saying with youth sports is
    0:35:09 that’s being mirrored all the way down the line, yes?
    0:35:10 I would think so.
    0:35:14 I mean, there’s two players on your team and one player at the age 13 level
    0:35:17 can make all the tournaments in the summer and one can only make two of the tournaments.
    0:35:21 Well, how much playing time is the player whose family can afford
    0:35:23 for him to go on those trips and then the coach doesn’t favor him and play him.
    0:35:26 I think there’s that trickle-down effect from there
    0:35:30 and there’s less access to top coaching, lessons, equipment, you name it.
    0:35:33 Over time it’s starting to bear itself out as some income inequality
    0:35:36 just creates better baseball players and worse baseball players.
    0:35:42 Or in one noteworthy instance, a huge drop in baseball players.
    0:35:47 In 1981, there was 18.7 percent African American players in the major leagues
    0:35:51 as of 2018, 7.8 percent.
    0:35:54 So the question is, why the decline?
    0:35:59 David Canton is a history professor and director of African American studies
    0:36:00 at the University of Florida.
    0:36:04 The huge drop of black players in baseball, he argues,
    0:36:09 has a number of historical causes, including the relative rise
    0:36:11 of black football and basketball players.
    0:36:15 But he puts most of the blame on deeper structural issues.
    0:36:16 So I look at these factors.
    0:36:21 Deindustrialization, mass incarceration and suburbanization.
    0:36:24 So with deindustrialization, lack of tax base,
    0:36:29 we know there’s no funds to what construct and maintain ball fields.
    0:36:33 So you see the rapid decline of the physical space in the Bronx,
    0:36:37 in Chicago, in these other urban areas, which leads to what?
    0:36:38 Lack of participation.
    0:36:42 Suburbanization, Canton says, had a similar effect,
    0:36:46 drawing resources away from cities with large African American populations.
    0:36:52 What’s left in the city’s abandoned fields, lack of resources, decrease in tax base.
    0:36:55 And then there’s incarceration, Canton says,
    0:37:00 which has a disproportionately high impact on African Americans.
    0:37:05 So I can imagine 1980, if you were 18 year old black man in LA,
    0:37:11 Chicago, New York, all of a sudden you’re getting locked up for nonviolent offenses.
    0:37:14 So I’m going to assume that you played baseball.
    0:37:18 I’m arguing that those men, if you did a survey and go to prison today,
    0:37:23 federal state, I bet you a nice percentage of these guys played baseball.
    0:37:25 Now some were not old enough to have children.
    0:37:29 And the one that did weren’t there to teach their son to play baseball.
    0:37:34 To volunteer in little league because they were in jail for nonviolent offenses.
    0:37:36 Add it all up, David Canton says.
    0:37:40 And this explains the huge decline of African Americans in baseball,
    0:37:45 which, by the way, has been countered by a huge rise in players from Latin America.
    0:37:53 That said, major league baseball is well aware of and concerned by the drop off in African American players.
    0:38:00 So we have a league called the RBI League, which is reviving baseball in the inner cities.
    0:38:02 That’s Kim Aang.
    0:38:05 When we interviewed her, she was major league baseball’s
    0:38:08 senior vice president of international baseball development.
    0:38:12 A few years later, she became general manager of the Florida Marlins,
    0:38:15 the first female GM in league history.
    0:38:23 So we’ve seen academies develop in Kansas City, in Philadelphia, New Orleans.
    0:38:25 Washington, DC.
    0:38:32 And these academies are really providing opportunity for young kids, you know,
    0:38:35 particularly of color, to come and train with us.
    0:38:37 Free of charge, of course.
    0:38:40 And you really hone their skills.
    0:38:44 So the RBI program, people like CeCe Sabathe de Yankees, he went through it.
    0:38:49 They do have some success stories, but most of those players are not successful.
    0:38:53 The reality is, is that baseball is for people with resources.
    0:38:57 Most major league players with African American come from middle class backgrounds.
    0:39:02 They have the resource for travel baseball, which is expensive, personal training.
    0:39:06 And I think there’s a cultural thing, that if you’re middle class African American,
    0:39:09 you are comfortable being in predominantly white spaces.
    0:39:14 And we don’t want to talk about that, because as we know, everybody’s a good person.
    0:39:17 But we know racism, privilege are systems.
    0:39:19 So let me give you an example.
    0:39:24 If you play AAU basketball, you’re the white guy, trust me, your space is African American.
    0:39:29 So from March to July, you are going to be a black guy’s all summer.
    0:39:32 Your parents are going to be a black family’s all summer.
    0:39:34 Let’s switch to the baseball.
    0:39:37 If you’re a black middle class kid who grew up in the suburbs,
    0:39:42 you are comfortable being the only black in the all white space all summer.
    0:39:45 So they’re the ones that are more likely to be in the major leagues.
    0:39:53 You could argue that sports are among the most meritocratic endeavors that humans do.
    0:39:58 After all, when you’re measuring outcomes with a stopwatch or a yardstick,
    0:40:03 by whether the ball goes in the net or doesn’t, you’d think that an athlete’s background,
    0:40:06 where they come from, what they look like, that it wouldn’t matter much.
    0:40:07 But sometimes it does.
    0:40:13 Professional sports teams in particular often have very conservative mindset.
    0:40:17 They tend to go looking for players who look a lot like their previous players,
    0:40:22 which means they might overlook someone who absolutely should not have been overlooked.
    0:40:36 In 2012, the New York Knicks went on a 9-3 winning streak,
    0:40:39 sparked by an obscure young point guard named Jeremy Lin.
    0:40:56 During this 12-game stretch, Lin averaged 22.5 points and 8.7 assists.
    0:40:59 If you don’t know basketball numbers, well, those are good ones.
    0:41:05 Lin’s success was so dramatic, so unpredicted, that it produced a movement.
    0:41:09 Lin’s sanity continues here at Madison Square Garden.
    0:41:13 Lin grew up in California to parents who’d immigrated from Taiwan.
    0:41:16 Even though he put up great numbers in high school,
    0:41:19 he received no athletic scholarship offers to college.
    0:41:22 He wound up playing at Harvard while studying economics.
    0:41:25 Once again, he put up great basketball numbers.
    0:41:30 But when it came time for the NBA draft, Jeremy Lin’s name was not called.
    0:41:34 The Golden State Warriors signed him as an undrafted free agent,
    0:41:39 making him the first American of Taiwanese or Chinese descent to play in the NBA.
    0:41:42 But he barely played, and three times that year,
    0:41:44 the Warriors sent him down to their minor league club.
    0:41:48 During the NBA’s offseason, he played a few games in China,
    0:41:52 then the Knicks signed him, and Lin’s sanity broke out.
    0:42:03 Lin played nine years in the NBA, and he now plays in Taiwan.
    0:42:08 His final contract in the NBA was a three-year deal worth more than $38 million.
    0:42:13 How could someone worth nearly $13 million a year
    0:42:17 have been assigned a value of essentially zero?
    0:42:21 Let’s ask one of the people who did take an early look at Jeremy Lin.
    0:42:24 Darryl Morey, general manager of the Houston Rockets.
    0:42:26 Morey, after we interviewed him,
    0:42:31 moved on to become president of basketball operations for the Philadelphia 76ers.
    0:42:36 At the time we spoke, the Houston Rockets were one of the winningest teams in basketball,
    0:42:40 and Morey had just been named NBA executive of the year.
    0:42:43 Morey was also one of the first executives in basketball
    0:42:47 to make extensive use of analytics to help choose players.
    0:42:52 So I asked him why Jeremy Lin’s college numbers had not lit up his model.
    0:42:55 Well, one thing that was tough about Jeremy,
    0:42:59 because he did actually produce in college at a level that looked, you know,
    0:43:06 insanely well, meaning if he had played at, say, Kentucky or Duke or whatever,
    0:43:08 for sure he would have been a top pick in the draft.
    0:43:09 I have no doubt of that.
    0:43:13 The problem was he played at Harvard, and actually,
    0:43:18 most of the models that are used from an analytics perspective to forecast draft picks,
    0:43:20 they’re built on people who are drafted.
    0:43:23 And Jeremy didn’t look like anyone who was drafted.
    0:43:27 The number of Ivy League players that have become NBA players is extremely small.
    0:43:31 So one of the things you have to be careful about with analytics is when to not use things.
    0:43:38 And I incorrectly chose to not wait his time in the Ivy League high enough,
    0:43:40 and he ended up going undrafted.
    0:43:46 Morey and the Rockets did, however, bring Lin into training camp as an undrafted rookie.
    0:43:49 He actually did look quite good in our training camp,
    0:43:52 but unfortunately, at that time, we had four point guards.
    0:43:56 And so, yeah, I then incorrectly let him go.
    0:43:58 What about his being Asian?
    0:44:02 How much did that just, you know, the fact that he did not, quote,
    0:44:08 look like what most basketball people think a good basketball player looks like,
    0:44:11 and how much that may have actually obscured the real data?
    0:44:14 It’s sort of an unknowable question.
    0:44:19 But the founders of behavioral science, you know, a lot of their research was on,
    0:44:23 yeah, how people mostly unconsciously, sometimes overtly,
    0:44:27 put people into, you know, basically buckets or categories,
    0:44:29 and then use those for making decisions.
    0:44:32 And often those heuristics really serve you well in life.
    0:44:36 I E, I’ve categorized that animal is dangerous,
    0:44:39 and so I’m going to avoid them so they don’t eat me, right?
    0:44:41 But many times they don’t serve you well.
    0:44:44 And what you’re asking is a question that’s impossible to answer.
    0:44:48 It’s basically how did Jeremy’s heritage change,
    0:44:52 how he was viewed by NBA talent evaluators?
    0:44:53 I don’t know. And how much was it Ivy League?
    0:44:56 How much it was, yeah, nobody knows.
    0:44:58 The reality was it happened to him, not just in the NBA.
    0:44:59 It happened to him consistently.
    0:45:02 He was a top player in high school.
    0:45:06 He then got literally almost no interest from college head coaches,
    0:45:09 but he should have been recruited by the Dukes and the Kentucky’s.
    0:45:12 And then again, he was overlooked in the NBA.
    0:45:13 No one can really know why,
    0:45:17 but there’s obviously a bunch of factors that probably played a role.
    0:45:23 The more you talk to athletes and the people around them,
    0:45:26 the more you realize that the path to elite status
    0:45:29 isn’t nearly as predictable as you might imagine.
    0:45:32 There are cognitive biases involved.
    0:45:34 There’s personality and politics.
    0:45:35 And remember, luck.
    0:45:39 Plainly, there’s no guarantee that a given athlete
    0:45:42 will get the right opportunity to make it to the top.
    0:45:46 But if you do, well, if you do get the opportunity,
    0:45:49 that’s when the real challenge begins.
    0:45:53 Now you’ve got to work even harder, devote yourself even more completely,
    0:45:56 and that comes with a cost.
    0:45:58 It’s the flip side of opportunity.
    0:46:02 And it’s what economists call, yes, opportunity cost.
    0:46:06 Meaning for every hour you spend on your sport,
    0:46:08 you surrender an hour of something else.
    0:46:11 For every opportunity the sport gives you,
    0:46:14 there’s another opportunity you have to sacrifice.
    0:46:16 So fighting takes up a lot of time.
    0:46:21 And, you know, fighters, they have to diet pretty hard.
    0:46:25 Lauren Murphy is a professional mixed martial arts fighter
    0:46:27 in the flyweight division of the UFC.
    0:46:29 They have to work out all the time.
    0:46:30 They also need to rest.
    0:46:31 A lot of us work.
    0:46:33 So there’s just not a lot of time in the day.
    0:46:38 And a lot of times the first thing that kind of gets taken off the plate
    0:46:39 is time with family.
    0:46:43 And so I remember missing a couple Thanksgiving dinners,
    0:46:46 you know, not being able to drive out to my sister’s house for Christmas.
    0:46:48 And I remember my family kind of being like, what the hell?
    0:46:52 Why, you know, why are you suddenly neglecting us so much?
    0:46:55 And I didn’t really have a good answer for them at the time.
    0:46:57 I just thought this is something that I want to do
    0:46:59 and I want to be really good at it while I do it.
    0:47:01 And so I need to, you know, make these sacrifices now
    0:47:03 so I can have a good performance later.
    0:47:06 In high school, you know, by the time I was a sophomore
    0:47:08 and I knew I had a chance, I started preparing.
    0:47:10 The former baseball all-star, Mark Tashara.
    0:47:14 I didn’t go to my high school homecoming for three straight years
    0:47:16 because I was playing fall baseball.
    0:47:18 You know, I didn’t do a lot of stuff in the summertime.
    0:47:20 I played 70 games every summer.
    0:47:22 My friends are going to concerts.
    0:47:24 My friends are, you know, having a good time at the beach
    0:47:25 and all these kind of things.
    0:47:30 So for me, I sacrificed from the time I was, I don’t know,
    0:47:36 probably in high school is when I started to forgo other opportunities.
    0:47:38 That, again, is Dominique Foxworth,
    0:47:41 who overdid his push-ups and sit-ups at age eight
    0:47:43 in order to make the NFL.
    0:47:45 Then in college, I wanted to be a computer science major
    0:47:47 at University of Maryland.
    0:47:49 And my academic advisor was like,
    0:47:53 “Though that course load is going to make it very difficult
    0:47:55 for you to make it to our practices, their labs,
    0:47:56 and blah, blah, blah, blah.”
    0:47:58 So I was like, “Nope, not going to do that.”
    0:48:00 So instead you did, was it American Studies?
    0:48:02 Yeah, I did American Studies.
    0:48:03 And journalism, right?
    0:48:04 Right.
    0:48:06 Which just shows how easy what I do is that you could do it
    0:48:08 and another major while playing football.
    0:48:14 No, I enjoyed those and it was good, but it wasn’t what I wanted to do.
    0:48:17 And then the summers when people were getting internships
    0:48:20 or whatever, I was working out and getting ready for football.
    0:48:23 And I say all that to say, once I got to the league,
    0:48:25 then I got drafted and I was in the third round.
    0:48:27 So that’s, it’s money, it’s good money,
    0:48:28 but it’s not life-changing money.
    0:48:31 It doesn’t make up for all the things that you’ve given up
    0:48:32 through the course of your life.
    0:48:38 You shouldn’t feel too sorry for Foxworth.
    0:48:41 He played long enough to enter a free agency.
    0:48:44 His final NFL contract paid him about $27 million.
    0:48:47 But now, out of football for a few years,
    0:48:51 he’s still feeling the after-effects of his single-mindedness.
    0:48:56 So like my whole life since I was a kid, I had a very clear goal
    0:48:58 and I worked towards that goal.
    0:49:02 And I made lots of decisions that would get me closer to that goal
    0:49:05 but get me further away from other important and interesting things,
    0:49:09 including friends and including family.
    0:49:11 And then I was like, all right, I’m done playing.
    0:49:14 So I will be in this state of transition.
    0:49:18 His transition included getting an NBA from Harvard
    0:49:20 and working at the NBA Players Union.
    0:49:23 He’s now doing some writing and sports casting.
    0:49:26 I mean, I think it’s a feeling of loneliness, honestly, which,
    0:49:30 and it’s not like I have three kids and my wife
    0:49:32 and I’m not like alone, obviously.
    0:49:34 And I love them and I have fun with them.
    0:49:37 And but throughout my life,
    0:49:42 I have been almost myopically focused on a goal,
    0:49:45 which being focused on that goal, I gave me purpose.
    0:49:49 And I’m sure I’m going to butcher the Nietzsche quote,
    0:49:53 but it’s something to the effect of when a man has a why,
    0:49:56 he can bear almost anyhow.
    0:50:01 And like I was, I didn’t, I don’t drink now.
    0:50:02 I never drank in my life.
    0:50:03 I never smoke weed.
    0:50:07 Like I was singularly focused on doing everything.
    0:50:08 Every decision I made was like, all right,
    0:50:09 I’m going to get close to this goal.
    0:50:12 And I, the people I was close with in high school,
    0:50:14 like those aren’t my friends anymore.
    0:50:18 People I was close with in college, like not really my friends anymore.
    0:50:21 And then at 35, I’m in D.C.
    0:50:25 where my wife has a bunch of family and friends,
    0:50:27 friends that she’s been close with since they were in the second grade.
    0:50:31 And like, and I’m like, I don’t really have that.
    0:50:33 And like I was making these choices,
    0:50:38 which I thought were choices to get me what you wanted.
    0:50:38 Right.
    0:50:42 And I didn’t realize at the time that I was
    0:50:46 foregoing like long lasting relationships.
    0:50:48 And while you’re a professional athlete,
    0:50:50 you walk around with this skepticism, frankly,
    0:50:52 of all new people in your life.
    0:50:57 So even if there were like the potential of some great friendships,
    0:50:59 like I wasn’t open to them.
    0:51:01 Yeah, I’d go to these places, people like, oh, you’re a football player.
    0:51:04 And I’d pretend and be nice to them because that’s what you do.
    0:51:09 And they’d pretend or whatever it’d be into me because that’s what you do.
    0:51:09 And then you move on.
    0:51:12 And and then you’re 35 and you’re like, hey,
    0:51:16 you haven’t talked to your best friend from high school in 10 years.
    0:51:19 So I mean, I feel like I’m in a perpetual state of transition,
    0:51:23 which is interesting and uncomfortable at the same time.
    0:51:31 Coming up after the break, how far does it set you back if you pursue the athletic dream
    0:51:32 and don’t make it?
    0:51:39 The person who plays baseball is making about 40% less on average 10 years after they enter
    0:51:43 the game than the person who decides not to play baseball and who just wanted a regular career.
    0:51:45 I’m Stephen Dubner.
    0:51:47 This is Free Economics Radio.
    0:51:55 We’ll be right back.
    0:52:05 It’s one thing if all the sacrifices, all the opportunities foregone, translate into
    0:52:11 a successful athletic career as it did for Dominique Foxworth and Mark Tashara and Lauren Murphy.
    0:52:16 But what about the athletes who make the sacrifices but don’t make the big time?
    0:52:18 Just look at the numbers.
    0:52:22 At any given time, there are only about 1700 players in the NFL.
    0:52:26 In Major League Baseball, there are fewer than a thousand.
    0:52:32 Roughly 80% of the athletes drafted by a Major League Baseball team never make it past the
    0:52:33 minor leagues.
    0:52:36 One of those 80% was Justin Humphries.
    0:52:40 You get a phone call that says how does it feel to be the next member of the Houston
    0:52:43 Astros and you just get, you get, it’s a dream come true.
    0:52:45 So I ended up signing.
    0:52:49 He started playing Minor League Baseball at 18, which meant skipping college.
    0:52:52 Although he did start taking some courses later on.
    0:52:58 In 2009, he retired at age 27 without ever making the majors.
    0:53:04 He enrolled at Columbia University and took a sociology class with a professor named Sudhir
    0:53:04 Venkatesh.
    0:53:07 So I was sitting there in this classroom.
    0:53:11 I started thinking about all the issues that I had seen in independent baseball and affiliated
    0:53:15 baseball, guys living check to check, struggling with whether they should go back to school,
    0:53:17 family life, issues at home.
    0:53:21 And I thought if I could use some of the things that we were learning in class,
    0:53:25 talk to some of these guys and find out whether the stories and things that I was seeing and
    0:53:27 hearing would be reflected in the numbers.
    0:53:31 We followed a sample of the draft class of 2001.
    0:53:34 And so that’s about, you know, it’s 10 years.
    0:53:36 And that is Sudhir Venkatesh.
    0:53:40 And so we thought that would help us to understand what happens to these folks.
    0:53:44 I think one of the most curious things that we find is how much 10 years matter.
    0:53:48 So if you take two people who grew up in the same circumstances, let’s say one played baseball
    0:53:54 and one didn’t, the person who plays baseball is making about 40% less on average.
    0:53:59 10 years after they enter the game, then the person who decides not to play baseball
    0:54:00 and who just wanted a regular career.
    0:54:01 All right.
    0:54:05 So what kind of background is typical for these players you’re tracking?
    0:54:11 The average player probably looks like an upper middle class kid who comes out of college
    0:54:12 or comes out of high school.
    0:54:16 And when you follow an upper middle class kid for about seven to 10 years,
    0:54:19 they’re probably going to make higher than the median average income.
    0:54:23 They’re probably going to live in a neighborhood that’s relatively safe.
    0:54:24 They’re going to have a career.
    0:54:29 Now, when you take the counterpart among the pool that was drafted, that median kid,
    0:54:37 that kid looks like he’s making about 20 to $24,000 a year, which is not a lot of money.
    0:54:41 He’s working probably five to seven months playing baseball and then struggling to find
    0:54:43 part-time work in the off season.
    0:54:45 Might be coaching.
    0:54:46 Might be doing some training.
    0:54:47 Might be working on a construction site.
    0:54:49 Might be working in fast food.
    0:54:56 Well, when you’re 25, playing an independent ball, making less than $2,000 a month,
    0:55:01 living off your parents because you can’t financially sustain yourself like that,
    0:55:04 at some point you have to say, look, I’ve got with no degree,
    0:55:07 I had less than an associate’s degree at that point.
    0:55:11 So at some point you have to tell yourself, I can’t do this to myself.
    0:55:13 I can’t do this to my parents.
    0:55:17 And I can’t continue when I know there’s untapped potential to do other things.
    0:55:25 Knowing when to quit anything is hard, especially if it means abandoning a lifelong dream.
    0:55:31 Quitting an athletic dream is especially hard because baked into the ethos of sport is the idea
    0:55:35 that you should never quit, never give up, never back down.
    0:55:36 But think about it.
    0:55:41 If you had been playing in the minor leagues or some equivalent for a decade,
    0:55:44 would you really think your moment was ever going to come?
    0:55:48 Would you really think there was any chance at all?
    0:55:53 Before you answer, I’d like to introduce you to someone named Andre Ingram.
    0:55:55 Hey, Steve, how you doing, man?
    0:55:56 Sorry I’m late.
    0:55:58 No, no, no worries.
    0:56:00 Let’s talk a little bit about your background.
    0:56:03 I believe you grew up in Richmond, Virginia, where you still live.
    0:56:03 Is that right?
    0:56:04 That’s correct.
    0:56:09 I’m curious, is your family the same Ingram family of the gospel group, the Ingramettes?
    0:56:10 That’s very good.
    0:56:11 Yep, that’s exactly correct.
    0:56:13 That’s on my father’s side.
    0:56:14 And then tell me about you.
    0:56:15 Are you musical?
    0:56:16 Are you talented?
    0:56:20 No, so my brother and I are the athletes.
    0:56:25 And it’s funny because everyone else in our family is musically gifted in some way.
    0:56:26 My brother and I, we got none of that.
    0:56:29 So yeah, we just, we got the athletics.
    0:56:36 Ingram was a good basketball player in high school and then played his college ball at
    0:56:40 American University, a solid basketball program, but hardly elite.
    0:56:43 It had produced only one NBA player in its history.
    0:56:48 Ingram was a three-point shot specialist and he left American as its fifth leading all-time
    0:56:49 score.
    0:56:52 But that was not enough to get drafted into the NBA.
    0:56:57 So he entered the NBA’s minor league, which at the time was called the D-League,
    0:57:02 the D standing for development, since changed its name and a sponsorship deal to the G-League,
    0:57:04 with the G standing for Gatorade.
    0:57:09 Anyway, Andre Ingram entered the D-League with the hopes of being called up to the NBA.
    0:57:12 He wound up staying for 10 years.
    0:57:19 It pays so poorly, around $40,000 a season, that most young players just give it a year or two
    0:57:23 before going to play pro in Europe or elsewhere.
    0:57:26 Ingram tried Australia briefly, didn’t like it.
    0:57:32 Plus, he wanted to stay nearby, just in case the NBA finally came calling.
    0:57:36 There were many times where I was, you know, ready to just the turn the other way and do
    0:57:41 something else and, you know, wife and kids, family, you know, the D-League or G-League is not
    0:57:44 paying you much, like, you know, you need to do something else.
    0:57:48 Like, I came to that point so many times and, you know, something kept me going every time.
    0:57:50 But he did keep going.
    0:57:53 He was playing for a D-League team called the South Bay Lakers,
    0:57:55 who were owned by the Los Angeles Lakers.
    0:57:59 Ingram led the G-League in three-point shooting percentage.
    0:58:05 But still, he was 32 years old by now and still in the G-League.
    0:58:07 For extra money, he tutored kids in math.
    0:58:12 At the end of the season, he was called in for his regular exit interview.
    0:58:15 So, you know, I’m thinking, all right, this is, you know, the same old thing.
    0:58:19 But then we get upstairs, we get in this big conference room and
    0:58:24 not only is the GM and head coach there, our president is there.
    0:58:25 And I’m like, okay, this is a bit different.
    0:58:28 I’ve done this before and usually our president’s not here.
    0:58:32 The president he’s talking about was the president of basketball operations,
    0:58:38 not for the South Bay Lakers, but for the Los Angeles Lakers, Magic Johnson.
    0:58:42 So, you know, Hart is kind of racing at that moment and then they tell me the news.
    0:58:46 The news was that the L.A. Lakers, with just two games left in their season,
    0:58:49 were calling Andre Ingram up to play.
    0:58:53 He would make his NBA debut at age 32.
    0:58:56 But just everything that I was feeling is exactly what you thought,
    0:59:00 or anybody would think knowing my story, knowing my situation.
    0:59:05 I just didn’t let it out like my wife and my mom did when I told them to lose.
    0:59:05 They let it out.
    0:59:09 They just let it be raw and, you know, the real emotion that, you know, people love to see.
    0:59:13 I was a little bit more subdued, but was feeling it all inside.
    0:59:17 And so, you know, immediately after that, though, my first thought goes to,
    0:59:20 okay, who do we play again tomorrow?
    0:59:22 They were playing the Houston Rockets.
    0:59:27 Late in the first quarter, Ingram finally got his chance to play in the NBA.
    0:59:32 Eleven years, 384 games after his professional career begins,
    0:59:35 Andre Ingram getting called up by the Lakers.
    0:59:38 You know, I think before I got there, in the night before,
    0:59:42 was when all the emotions were running wild and I’m not sure how to feel.
    0:59:45 And you’re so excited, yet nervous and all these other things.
    0:59:47 But when it came time for the actual game,
    0:59:52 it really turned into basketball very quickly for me and made things a whole lot easier.
    0:59:54 How easy was it?
    1:00:08 Ingram scored 19 points that night, including four three-point shots.
    1:00:11 It was one of the best debuts in Lakers history.
    1:00:15 It was one of the most amazing debuts ever, the 32-year-old rookie.
    1:00:23 The crowd began chanting MVP, MVP.
    1:00:34 So we had no idea the reach of this until my brother and my niece had called and told me.
    1:00:36 They said, hey, you are blowing up on Twitter.
    1:00:38 You’re blowing up on Instagram.
    1:00:41 You know, you’re everywhere and you just have no idea.
    1:00:45 So I know that you’re a great three-point shooter, historically great.
    1:00:50 So, but forgive me for saying this, your shot looks a little bit ugly,
    1:00:52 if I’m being honest with you, Andre.
    1:00:55 You know, it’s a little off balance and I know it works,
    1:00:57 but I’m really curious to ask you.
    1:00:59 I don’t mean just to insult you.
    1:01:00 It’s an insult with a question.
    1:01:01 No, I get it.
    1:01:05 Do you think that maybe is part of what’s kept teams in the past
    1:01:07 from giving you a shot at the NBA?
    1:01:11 And I asked this thinking about the story about Jeremy Lin,
    1:01:15 who so many teams overlooked and they later admitted they overlooked him
    1:01:19 because he was an Asian guy and he didn’t fit the template of what,
    1:01:20 you know, an NBA player was.
    1:01:23 And I’m curious if whether you think that your untraditional shot
    1:01:28 may have hurt you in some way, even if just like perception wise.
    1:01:30 You know what, I mean, it’s a good question.
    1:01:32 I don’t think so.
    1:01:34 I would say the gray hair probably has more to do with it.
    1:01:38 But if I had to guess, maybe the awkwardness of the shot
    1:01:42 or not so much the awkwardness of it, but the release point of it,
    1:01:46 because it’s a bit lower than most guys, I’m already not the tallest guy.
    1:01:49 So maybe there is worry about, well, hey,
    1:01:51 this shot is going to get blocked in our league.
    1:01:53 The guys are too athletic for him to get that off.
    1:01:55 So maybe that was a thought, to be honest with you.
    1:01:56 All right.
    1:01:58 So here’s the big question.
    1:01:59 What’s your future?
    1:02:00 Yeah.
    1:02:04 So right now my agent is in talks with, you know, different teams.
    1:02:06 We’re trying to get into a training camp right now.
    1:02:07 That’s the goal.
    1:02:10 And, you know, hopefully there’ll be some new soon of where I’ll be,
    1:02:12 but nowhere yet.
    1:02:15 So what happens if, you know, you don’t get in a training camp,
    1:02:19 you don’t get to play for an NBA team?
    1:02:20 What do you do this coming season?
    1:02:21 Yeah.
    1:02:24 Well, it could definitely be the G-League again.
    1:02:28 You know, and it could be another season of it.
    1:02:31 I mean, the job for me is simple, you know, just stay ready.
    1:02:35 But the goal is, and we will be continuing to play that that much.
    1:02:36 I can tell you.
    1:02:41 It’s interesting, you know, as a sports fan, I’ve been, you know,
    1:02:45 my whole life seen people trying to squeeze meaning out of sports
    1:02:47 beyond the game itself.
    1:02:50 And a lot of times it feels kind of forced,
    1:02:52 but it strikes me that your story was really different.
    1:02:55 What is the lesson that we maybe should take from your story?
    1:02:58 What I would like for people to get out of it the most is that
    1:03:01 it wasn’t just that, you know, I stuck with it all the way through
    1:03:03 and was happy about it all the time.
    1:03:04 I definitely had doubts.
    1:03:06 I had, you know, disbelief.
    1:03:07 I had discouragement.
    1:03:10 You know, you don’t get to something or any dream
    1:03:11 or anything worth having.
    1:03:13 Just, you know, Scott free.
    1:03:16 I think that part about it is the realest part.
    1:03:23 Andre Ingram never had the NBA career he hoped for.
    1:03:28 After those final two games of the 2018 season,
    1:03:29 he went back to the G-League.
    1:03:33 He was called up for another short spell with the Lakers.
    1:03:35 The next season, but that was it for the NBA.
    1:03:38 He did make his mark in the G-League.
    1:03:41 He holds league records for most games played
    1:03:43 and most three pointers.
    1:03:47 And in 2020, he was elected president of the G-League’s
    1:03:48 brand new players union.
    1:03:52 He last played professionally in 2022
    1:03:54 and then stepped away to care for his mother,
    1:03:56 who had been diagnosed with cancer.
    1:04:01 But now Ingram says he’s hoping to come back to the G-League.
    1:04:05 To play us out today, here is his family’s gospel group,
    1:04:08 Maggie Ingram and the Ingramettes,
    1:04:11 with a song called Work Until I Die.
    1:04:22 Freakonomics Radio is produced by Stitcher and Renbud Radio.
    1:04:25 You can find our entire archive on any podcast app
    1:04:27 also at Freakonomics.com,
    1:04:29 where we publish transcripts and show notes.
    1:04:32 This episode was produced by Anders Kelto,
    1:04:34 with help from Derrick John and Harry Huggins,
    1:04:36 and updated by Teo Jacobs.
    1:04:39 Our staff also includes Alina Kullman, Augusta Chapman,
    1:04:43 Dalvin Abalaji, Eleanor Osborn, Elsa Hernandez,
    1:04:45 Gabriel Roth, Greg Rippon, Jasmine Klinger,
    1:04:48 Jeremy Johnston, John Schnarrs, Julie Kanfer,
    1:04:50 Lyrik Bowditch, Morgan Levy, Neil Carruth,
    1:04:53 Rebecca Lee Douglas, Sarah Lilly, and Zach Lipinski.
    1:04:56 Our theme song is “Mr. Fortune” by the Hitchhikers.
    1:04:59 Our composer is Luis Guerra.
    1:05:01 As always, thanks for listening.
    1:05:04 (upbeat jazz music)
    1:05:25 The Freakonomics Radio Network,
    1:05:28 the hidden side of everything.
    1:05:30 (upbeat jazz music)
    1:05:31 Stitcher.
    1:05:34 (upbeat music)

    There are a lot of factors that go into greatness, many of which are not obvious. As the Olympics come to a close, we revisit a 2018 episode in which top athletes from a variety of sports tell us how they made it, and what they sacrificed.

     

     

     

  • 600. “If We’re All in It for Ourselves, Who Are We?”

    AI transcript
    0:00:08 So, let’s talk a little bit about what you see as the purpose of college.
    0:00:14 I’ve heard you say that some people use it for chasing status, was your phrase, while
    0:00:20 others use it to prepare themselves to improve not just themselves and their families, but
    0:00:21 society.
    0:00:23 So, what do you see as the mission?
    0:00:29 Well, part of the ethos of Jesuit institutions from the beginning is that we want our students
    0:00:34 to learn and get all the tools they need to flourish, and we want to give them opportunity.
    0:00:38 But we also want them to have all of that, not just for them, but for the world.
    0:00:43 That we have this enormous force multiplier of sending them out with the desire to matter
    0:00:45 and the skills to really do that.
    0:00:51 And they will choose how, but we really need for them to understand that the saccharine
    0:00:57 high of just getting the job that pays the most or seeking status for themselves, that’s
    0:01:01 not what will make them happy, and that is not the point of their lives.
    0:01:05 And so, they can do that and still be happy, but what really drives you is knowing, looking
    0:01:08 back on your deathbed at your life.
    0:01:10 How did I matter?
    0:01:17 I’d like to introduce our guest for today, Tanya Tetlow, president of Fordham University.
    0:01:22 Fordham is a well-regarded private university in New York City, founded in 1841 and run
    0:01:27 for most of its history by the Jesuits, the Roman Catholic religious order that dates
    0:01:29 to the 16th century.
    0:01:34 Tetlow is the first female president of Fordham, as well as the first layperson.
    0:01:38 There’s a very daunting hall of portraits outside of my office, you know, all of these
    0:01:41 priests going back to 1841.
    0:01:48 Tetlow’s own father was, in fact, a priest, but while getting his psychology PhD at Fordham,
    0:01:52 he met his would-be wife, another graduate student, so he left the priesthood.
    0:01:58 Tanya was born in New York not long before the family moved to New Orleans, so Fordham
    0:01:59 is in her genes.
    0:02:04 A good way to recruit me is they can tell me, “You exist because of us.”
    0:02:09 Fordham did recruit her, and she returned as president in 2022.
    0:02:14 Before that, Tetlow was president of Loyola University in New Orleans, another Jesuit
    0:02:19 school, one of 27 in the U.S. and about 130 globally.
    0:02:25 The Jesuits have always been big on educating as well as evangelizing.
    0:02:31 Tetlow is a lawyer by training and taught law for a while at Tulane, and before that,
    0:02:34 she was a federal prosecutor in New Orleans.
    0:02:39 What does it say about the state of higher education that Fordham chose as its president
    0:02:43 not only a non-priest, but a former prosecutor?
    0:02:49 We spent our time, all of us in these jobs, playing defense and navigating crises.
    0:02:57 Everything from the protest movements to efforts from those who work here to make sure that
    0:03:03 they’re paid well and fairly and how to balance that against remaining affordable to students,
    0:03:05 and bridging that gap just gets harder and harder.
    0:03:11 Today on Freakonomics Radio, another conversation in our ongoing look at what college is really
    0:03:13 for.
    0:03:18 With higher ed under attack from multiple angles, Tetlow sees an urgency in turning
    0:03:20 things around.
    0:03:25 The countries against whom the U.S. competes, none of them are disinvesting from education
    0:03:26 right now.
    0:03:30 We talk about the difference between religious and secular universities.
    0:03:34 I don’t have to be afraid to talk about values in my out loud voice.
    0:03:41 And we talk about why, despite all the trouble and controversy, the enterprise is worth defending.
    0:03:59 If you want a great city, build a university and wait 200 years.
    0:04:05 This is Freakonomics Radio, the podcast that explores the hidden side of everything with
    0:04:15 your host, Steven Dubner.
    0:04:20 Kamala Harris, before serving as vice president and U.S. senator, was a prosecutor, the district
    0:04:24 attorney for San Francisco and the California Attorney General.
    0:04:30 Now that she’s running for president, Harris is leaning into her experience as a prosecutor.
    0:04:37 So in those roles, I took on perpetrators of all kinds.
    0:04:47 So hear me when I say, I know Donald Trump’s tight.
    0:04:51 As a fellow former prosecutor, I really admire that background in her.
    0:04:57 Can you imagine ways in which that background can be useful as perhaps president of the
    0:04:58 United States?
    0:05:06 Well, in a funny way, you have such ultimate power as a prosecutor over your one single
    0:05:07 case.
    0:05:13 I found that really good preparation for having power in other settings.
    0:05:18 What did you learn from being a prosecutor that helps you in your role as a college president?
    0:05:21 It’s the only kind of lawyer where your ethical duty is not to represent a client, but to
    0:05:23 do justice.
    0:05:24 That is what you’re charged with.
    0:05:30 And so I spent as much time talking to witnesses or defendants who are cooperating about how
    0:05:34 they ended up there and what their lives were like and really learning who they were as
    0:05:40 people in ways that I don’t know is typical of people in that job, but I really loved.
    0:05:43 Tell me maybe your most memorable case.
    0:05:53 I had a case where a high school teacher helped an old buddy who was in prison collect some
    0:05:54 packages.
    0:05:56 That isn’t going to end well.
    0:05:57 No.
    0:06:02 And it was just one of the most fascinating cases about human beings and how we delude
    0:06:03 ourselves.
    0:06:07 A high school teacher whose old buddy from high school, the popular kid who would never
    0:06:14 talk to him in high school, finally reached out from prison to see if they could be friends.
    0:06:19 And he out of so many high school drama kind of psychology decided, “Oh, sure, I will accept
    0:06:23 these packages coming in the mail without knowing what they are,” and got dragged into
    0:06:25 this whole drug scheme.
    0:06:28 So the teacher who got dragged into it cooperated.
    0:06:31 No one else would have been brave enough to do it because he was up against the major
    0:06:32 kingpins.
    0:06:34 He’s your witness then?
    0:06:35 He’s my witness.
    0:06:39 And we were going against the person who was running a heroin scheme from jail.
    0:06:45 But it took a long time to just get him to admit his real emotions rather than have bravado
    0:06:47 on the stand.
    0:06:51 And finally, after berating him and prep, got him to admit, “I was afraid.”
    0:06:53 I mean, I don’t blame him.
    0:06:54 Did you in that case?
    0:06:55 Yes.
    0:07:02 So when I think of the Jesuit tradition, I think of inquiry and intellectualism.
    0:07:07 And I think especially of the concept of discernment, which I gather is very important within the
    0:07:08 tradition.
    0:07:13 And it strikes me that discernment is fairly absent these days, at least in the public
    0:07:14 square.
    0:07:19 One reason I wanted to speak with you today, because I figured you could teach me and all
    0:07:24 of us a little bit about how to get in touch with that, maybe apply it.
    0:07:30 So I’d like you to define discernment as you see it and describe how you try to spread
    0:07:34 that as a president of a Jesuit university.
    0:07:40 It is basically the opposite of social media in shorthand.
    0:07:48 So discernment means to take time to consider a big decision and not to jump to conclusions.
    0:07:50 It means being open and curious.
    0:07:55 It means assuming good intentions of the person you’re disagreeing with, which we are all
    0:07:57 very bad at right now.
    0:08:03 And it means being self-aware enough of your own biases and filters that you realize what
    0:08:06 will prevent you from seeing the truth.
    0:08:12 And right now, I think we’re all feeling the pressure to teach those skills to our students,
    0:08:17 especially this fall as we approach the election and all the turmoil that society’s going
    0:08:18 through.
    0:08:22 How do we double down on teaching those skills when they have become so counter-cultural?
    0:08:28 Yeah, but I would imagine that you are recruiting for students who already buy into the notion
    0:08:30 of discernment, no?
    0:08:31 It’s chicken and egg, right?
    0:08:37 The students who are attracted to us tend to have this sense of purpose.
    0:08:41 And I will say the two Jesuit institutions I’ve led have student communities who don’t
    0:08:46 lean into self-righteousness in quite the same way that young people are tempted by
    0:08:47 right now.
    0:08:52 What do you think would happen if you could play some version of Freaky Friday and bring
    0:09:01 the entire educational architecture of Fordham to a place like Harvard or Penn for a week
    0:09:07 and apply all the layers of discernment in education there?
    0:09:10 How would that go over with those student bodies, do you think?
    0:09:16 Well, there is a freedom I find in being in a religious institution where I don’t have
    0:09:21 to be afraid to talk about values in my out loud voice in quite the same way that in a
    0:09:27 secular institution, we were just so afraid of offending by having any reference to religion
    0:09:28 at all.
    0:09:34 Can you give an example of some kind of conversation you might have liked to have at Tulane where
    0:09:38 you felt it wouldn’t be accepted?
    0:09:44 When we would talk about diversity there, we were left to some of the more tepid values
    0:09:46 of hospitality and welcome.
    0:09:52 And when I talk about it at a Jesuit institution, I’m able to really lean into the fact that
    0:09:59 our faith believes profoundly in the equality and human dignity of every single person,
    0:10:04 that we believe that we owe people more when they need more.
    0:10:09 Pope Francis, who’s the first Jesuit pope, has said that some universities I know in
    0:10:14 America are too liberal and he accused them of training technicians and specialists instead
    0:10:15 of whole people.
    0:10:17 I’m curious for your take on that.
    0:10:23 Well, it’s interesting because this parallel attack in this country on the value of liberal
    0:10:30 arts and for us as Catholic institutions, we cling to our core curriculums fiercely.
    0:10:33 In this country, it’s not really a liberal problem.
    0:10:39 It’s more from the other side, this mocking of English majors as if much of the powerhouse
    0:10:41 of this country didn’t major in English, right?
    0:10:48 And when we talk to employers, they’re desperate for us to teach those kind of emotional intelligence,
    0:10:53 communication, critical thinking skills that you learn in philosophy and English and all
    0:10:57 of those kinds of courses because that’s really hard to teach on the job.
    0:11:01 They can teach technical skills on the job and frankly, the technical skills we teach
    0:11:06 are often defunct by the time the kids graduate, right?
    0:11:09 Those change too much.
    0:11:13 So Fordham is a Catholic university, but the share of students who describe themselves
    0:11:15 as Catholic surprised me.
    0:11:17 Can you talk about that?
    0:11:19 It’s about 40%.
    0:11:25 We became religiously pluralist in a way that’s kind of a hidden story of American higher
    0:11:26 ed.
    0:11:32 Catholic students were not always welcome in the first half of the 20th century and before
    0:11:36 at elite institutions, which we sometimes forget were founded as Protestant institutions
    0:11:42 and had attitudes towards really immigrants, Irish Italians, others coming in off the ships
    0:11:47 and not wanting them there in the same way they created quotas and caps for Jewish students.
    0:11:52 And so Catholic schools, when they were founded, were full of Catholics who did not have other
    0:11:56 options and we welcome Jewish students who often did not have other options.
    0:12:01 When those doors opened, we had some of the same dilemmas of women’s colleges and HBCUs
    0:12:03 of what do we do?
    0:12:07 And so we very much welcome students from all face and it changed who we are.
    0:12:10 We became very ecumenical.
    0:12:14 But now far more of our student body is just secular.
    0:12:17 They were raised with no religious tradition whatsoever.
    0:12:23 When I look at the student population at Fordham, I see that it’s got about 40% of what are
    0:12:31 called underrepresented populations, 17% Hispanic, Latino, 13% Asian, 5.5% Black.
    0:12:35 It strikes me that you’re significantly more diverse than a lot of the very liberal schools
    0:12:38 that talk about diversity a lot.
    0:12:40 How does that happen?
    0:12:44 Well, partly success begets success.
    0:12:48 To come to a school that is already diverse means you have strength in numbers, where
    0:12:51 you won’t be alone.
    0:12:55 And I think it really helps to be in New York, a place that is already so diverse.
    0:12:59 We get to recruit in our backyard, we get to attract people to a city that has everyone
    0:13:02 in the world here.
    0:13:09 I’m curious how the Jesuit tradition and Catholicism generally intersect with the politics of
    0:13:10 this moment.
    0:13:17 Many of my Catholic friends and family members are really torn because they don’t like Donald
    0:13:21 Trump as a person or a candidate for a variety of reasons.
    0:13:23 But they do really like the fact that he’s created a Supreme Court that has put much
    0:13:25 stricter limits on abortion.
    0:13:28 And I’m curious how that plays out at Fordham.
    0:13:33 Well, Catholic doctrine does not neatly fit in either political party, because in many
    0:13:39 ways it’s the opposite of libertarianism, which also doesn’t neatly fit in either party.
    0:13:46 So Catholic teaching would be somewhat more conservative, restrictive on social issues,
    0:13:50 but far more progressive on economic issues than the Republican Party.
    0:13:55 Catholic social teaching to many more conservative Catholics seems incredibly radical, but it
    0:13:58 is, in fact, the doctrine we’ve had for a very long time in the church, and it’s pretty
    0:14:01 clearly what’s in the Gospels.
    0:14:04 Give an example of that for those who don’t know.
    0:14:08 The Catholic Church believes profoundly in caring for the poor as a priority, caring
    0:14:14 about the right to organize labor, racial justice, all of those kinds of issues that
    0:14:21 don’t neatly fit with a Republican Party that does care about restricting abortion and
    0:14:22 other things.
    0:14:28 In American society, we’ve always had a balance that was critical between individual rights
    0:14:32 and a sense of community and responsibility.
    0:14:35 That balance is really out of whack right now.
    0:14:40 We’ve leaned so heavily into individual rights, which are crucial, but if they’re unmoored
    0:14:45 from the idea of community, of what we owe each other, they’re really quite dangerous.
    0:14:48 If we’re all in it for ourselves, who are we?
    0:14:53 And so what Catholic teachings really offer is a reminder that we do have to care about
    0:14:58 community, that we have not just rights, but responsibilities.
    0:15:02 After the break, the friction between rights and responsibilities and how it played out
    0:15:04 at Fordham this past spring.
    0:15:07 You don’t point bullhorns at the library during study session.
    0:15:08 I’m Stephen Dubner.
    0:15:09 You’re listening to Free Economics Radio.
    0:15:10 We will be right back.
    0:15:25 As President of Fordham University, Tanya Tetlow oversees roughly 17,000 students and
    0:15:26 750 faculty.
    0:15:31 The biggest majors are in finance, psychology, and government.
    0:15:35 Fordham also has several prestigious graduate programs in business and law, education and
    0:15:39 social work, and even some theology still.
    0:15:44 The school is split between two main campuses, both in New York City, one in the Rose Hill
    0:15:48 section of the Bronx, the other at Lincoln Center in Manhattan.
    0:15:51 Those two campuses are about nine miles apart.
    0:15:56 If you walked from one Fordham campus to the other, you would pass right through Columbia
    0:15:58 University.
    0:16:04 This past spring, as pro-Palestinian demonstrators set up encampments at many schools, Columbia
    0:16:09 had some of the most intense protests, which led to more than a hundred arrests.
    0:16:11 So what was happening at Fordham?
    0:16:13 I asked Tetlow to describe it.
    0:16:21 We have students who are from Palestine who are very worried about parents and grandparents
    0:16:22 they can’t get in touch with.
    0:16:28 They’re going through all the stages of grief and trauma, and they’ve been extraordinary.
    0:16:33 And I’ve also felt, you know, if yelling at me will make you feel better for even half
    0:16:34 a minute, go for it.
    0:16:38 It is my honor because they are feeling so powerless.
    0:16:45 We also have members of our community who are Jewish and Israeli and who lost family
    0:16:47 members on October 7th.
    0:16:54 And so it made me realize how close New York is to the Middle East and of how profound that
    0:16:57 pain is for part of our community.
    0:17:03 And so what was really impressive this year is student activists did prayer vigils and
    0:17:08 they did teachings and they talked and they listened and they engage with complexity and
    0:17:14 they really tried to do the work of expressing outrage at that which they are outraged by,
    0:17:21 but without just yelling at the nearest authority figure or trying to disrupt the right of their
    0:17:28 fellow students to learn, that got ratcheted up when the clearing out of Hamilton Hall at
    0:17:29 Columbia happened.
    0:17:30 By the police, we should say.
    0:17:31 By the police.
    0:17:32 Yeah.
    0:17:38 By the next morning, students who told us later were really upset by that came and started
    0:17:42 a little encampment in a classroom building in our Manhattan campus.
    0:17:48 We persuaded most of them to leave, but we did end up having the police arrest on minor
    0:17:52 misdemeanors, about 15 mostly students.
    0:17:59 So that was painful because, you know, how do you navigate the rights of our 17,000 students
    0:18:05 to learn on the CASPA finals with the rights of those dozen students to express themselves
    0:18:06 and to protest.
    0:18:07 And it was really hard.
    0:18:08 And what happened then?
    0:18:11 Did it deescalate after those arrests?
    0:18:12 Yes.
    0:18:18 I’ve read that when you were a kid, your father, who was a psychologist and professor and also
    0:18:23 counseled prisoners, that he had a sign on his desk that said, “Question authority, but
    0:18:26 politely and with respect.”
    0:18:35 How do you feel that slogan relates to, let’s say, the campus politics around this particular
    0:18:36 issue at Fordham?
    0:18:41 Was authority questioned politely with respect and fruitfully or not really?
    0:18:44 I think for the most part it was.
    0:18:50 We met with student activists and they have been profound and persuasive and respectful
    0:18:53 and thus very effective, right?
    0:18:57 Going to people and saying, “I think that you’re an evil, awful person and I’m going
    0:18:59 to scream at you until you agree with me.”
    0:19:00 Doesn’t work.
    0:19:01 It feels good.
    0:19:04 It’s venting, but it is not the same as activism.
    0:19:09 We have always authorized any request to protest on our campus at Student Spring Us.
    0:19:11 We’re at 100% with that.
    0:19:14 But what we navigate with them is, you know, you don’t point bullhorns at the library during
    0:19:15 study session.
    0:19:21 You find ways to make your ability to express yourself, not have to disrupt the education
    0:19:22 of your fellow students.
    0:19:26 And so when we think about those restrictions, we need to think about them, both for protest
    0:19:28 we agree with and those we don’t.
    0:19:34 You can’t just imagine that the protesters are expressing a cause that you believe in.
    0:19:37 You also have to imagine one that you might find repugnant because the rules have to be
    0:19:40 the same for both or we lose credibility.
    0:19:46 I know that back in 2016, which predates your presidency by quite a few years, there was
    0:19:51 a movement by Fordham students to start a chapter of Students for Justice in Palestine,
    0:19:55 which is a national organization, and that was at the center of many of the campus protests
    0:19:57 last year, and that was denied.
    0:20:03 I believe there was a court case around that, and the court upheld the Fordham decision
    0:20:04 if I’ve got that correct.
    0:20:05 Yes.
    0:20:10 And I also know that according to the Foundation for Individual Rights and Expression Fire,
    0:20:15 which looks at free speech on campuses, Fordham ranks in the bottom 10 for colleges or universities
    0:20:17 across the country.
    0:20:21 So how do you as a president try to create a balance where you’re not limiting free speech,
    0:20:30 but also not turning your campus into a hotbed where it can’t accomplish the central purpose?
    0:20:34 First of all, those fire rankings, we don’t really understand how they come to them.
    0:20:37 It is always tricky, right?
    0:20:42 At Fordham, we famously, it got litigated, suspended a student who after a verbal argument
    0:20:47 with fellow students went and bought an assault rifle and then posted that on social media.
    0:20:51 If he had shot up the campus, we would have been reamed if we had not done anything.
    0:20:57 It was so obvious a warning, but by suspending him, we got really attacked by some free speech
    0:21:01 purist groups saying, “How dare you, it’s just because you’re against guns,” right?
    0:21:07 So those are the kinds of lines we have to navigate every day, and what I find really
    0:21:14 a shame right now is those who push for more speech on campus have suddenly flip-flopped
    0:21:15 on a lot of those issues, right?
    0:21:19 Now they’re yelling at us because we don’t suppress speech more.
    0:21:23 This would have been a moment to really stand up and say, “We find some of these protests
    0:21:28 to be anathema and disturbing, but this is what it looks like to put up with speech that
    0:21:29 you disagree with.”
    0:21:34 But instead, we’re just being called hypocrites because we don’t suppress it, and they’re
    0:21:37 being hypocrites and accusing us of hypocrisy.
    0:21:42 So it’s very head spinning because what remains is the question of are you for this freedom
    0:21:43 or are you not?
    0:21:50 Do you have any evidence that discernment, as we discussed earlier, can help fight polarization
    0:21:54 or these kind of standoffs in the moment?
    0:22:00 I know from our faculty that every day in the classroom, they try to not just teach knowledge
    0:22:06 but the skills of discernment, of what it means to have reflective practices where we’re
    0:22:10 going to really think about what we learned and stop and take time.
    0:22:15 This is something that, as a law professor as part of our ethos, I need for you to articulate
    0:22:19 the other side of the argument, not because we’re morally relativists, but because you
    0:22:24 can’t know the strength of your belief until you’re willing to think about the other side.
    0:22:28 And as a lawyer, your job is to argue the best case for whoever you end up representing,
    0:22:32 which I guess is a way to train and seeing the other side, yeah?
    0:22:33 Right.
    0:22:37 I mean, legal education has a leg up in this because we’ve always done this work.
    0:22:43 And I think our faculty do a brilliant job of navigating how to take the temperature down
    0:22:48 when people disagree, how to say, “Okay, you are attacking the other student who you disagree
    0:22:49 with.
    0:22:50 You’re attacking them personally.
    0:22:51 You’re assuming they have bad intentions.
    0:22:53 You’re not listening to them.”
    0:22:55 Are you sure this is the job you want?
    0:22:56 I mean, it’s a hard job.
    0:23:02 It is a very hard job, but I do love it because it matters, and sometimes things are hard
    0:23:03 because they’re important.
    0:23:09 So one way universities are important, or at least supposed to be, is as an institution
    0:23:11 that can build social trust.
    0:23:16 Researchers who study this argue that universities and the military and even sports teams are
    0:23:21 places that do this well because in each case, you’ve got a bunch of individuals from different
    0:23:27 backgrounds coming together with a common goal, or at least as part of a community.
    0:23:32 And I’m really curious how you think about, I mean, this is an absurd and large question,
    0:23:39 but how you think about the rights and role of the individual in a community or a society
    0:23:42 today with Fordham as the microcosm of that.
    0:23:46 Well, universities are one of the places of great hope.
    0:23:51 We do bring people together, and that’s not just the obvious demographics.
    0:23:53 It’s also rural and urban.
    0:23:55 It’s different backgrounds economically.
    0:23:59 It’s just different upbringings, and we’ve leaned into that from a progressive point
    0:24:04 hard, but also that they find commonality, that they have so much more in common when
    0:24:05 they least expect it.
    0:24:14 I think that our job is to express both and to treat diversity as we used to be allowed
    0:24:17 to do before the Supreme Court banned it, but about that quality of community and what
    0:24:18 it means.
    0:24:21 And so the court has continued to allow that in the military academies because they understand
    0:24:24 exactly how valuable it is there.
    0:24:30 They’ve now forbidden us from overtly considering that in admissions, but regardless, we have
    0:24:37 the opportunity in our communities to really encourage, nudge, persuade students to know
    0:24:39 each other to lean into that.
    0:24:45 For example, Greek life can be wonderful, but it can also divide.
    0:24:46 So we don’t have that here.
    0:24:51 We try to find ways to get students to bond that aren’t the obvious finding people from
    0:24:55 exactly your tribe, but really reaching out across that.
    0:24:56 But it is …
    0:24:57 What’s it, for instance, of that?
    0:25:03 Of kind of making student organizations really more about interest than about identity or
    0:25:07 self-selection and exclusivity.
    0:25:11 One of the most important places we teach is in the residence halls, right, of how we
    0:25:16 use peer mentoring because we have RAs who are just a little bit older than the students
    0:25:21 that they’re mentoring and thus have credibility that we don’t, and of how they’re on the front
    0:25:26 lines of navigating that profound loneliness that modern society has created.
    0:25:32 Social media sort of buries them in connection that is empty, especially after COVID when
    0:25:35 they were literally isolated.
    0:25:39 They have to learn the skills of how to really be with each other, and we’re now having
    0:25:46 to teach that in ways that we didn’t 10, 20 years ago.
    0:25:51 After the break, Tanya Tetlow on university finances and pricing.
    0:25:55 We’re stuck in a really stupid pricing model.
    0:25:56 I’m Stephen Dubner.
    0:25:57 This is Freakonomics Radio.
    0:25:57 We’ll be right back.
    0:26:13 Tell me a little bit about the finances of Fordham, maybe operating budget, and I’m just
    0:26:16 curious to know how things are looking.
    0:26:17 It’s going well.
    0:26:22 We’re not in the kind of crisis that most of higher ed is in right now financially,
    0:26:25 but it’s still a squeeze every year.
    0:26:29 We’re hitting the ceiling of what American families can afford to pay.
    0:26:35 In a world where we very much want to have normal and fair and generous pay increases
    0:26:39 for all of our employees, we’re basically a service industry.
    0:26:44 Most of our budget goes to our people, and so those pressures are hard because we’re
    0:26:47 pretty tuition dependent to pay for that.
    0:26:49 Our budget’s about 700 million.
    0:26:51 Most of that is for the people we hire.
    0:26:56 It’s very labor-intensive work to teach and serve, and then maintain a campus.
    0:26:58 What’s your endowment for Fordham?
    0:27:00 It is just about a billion.
    0:27:04 Okay, so that sounds like a lot of money to the average person, except Harvard’s is 50
    0:27:05 billion.
    0:27:06 Exactly.
    0:27:11 It’s hard fought for a school that mostly taught first generation students for so many
    0:27:13 decades, almost two centuries.
    0:27:19 It’s sort of like a museum endowment, that that interest on that is what supports us.
    0:27:23 In our case, it very specifically supports primarily scholarships.
    0:27:26 For us, it’s maybe 5% of our budget.
    0:27:31 It’s not like an Ivy League that’s no longer dependent on tuition because they get so much
    0:27:33 revenue from their endowment.
    0:27:37 What would you do if you had a 50 billion endowment at Fordham?
    0:27:41 We’d be able to fully meet need for all of our students first and foremost, which would
    0:27:43 be a joy.
    0:27:47 We’d invest in everything that we want to do in our ambitions.
    0:27:48 What would that be?
    0:27:52 It would be research, but it really matters to keep that in balance with the quality of
    0:27:54 our teaching.
    0:28:00 Research prowess that also means those faculty are in the classroom every day teaching students.
    0:28:06 We are so strong in the humanities and law and business, and to really be relevant and
    0:28:11 at the table, we need to connect with what’s going on in AI, with how to wake people up
    0:28:17 about climate change and find answers to the threats to democracy all over the world.
    0:28:19 Which is just absurdly expensive.
    0:28:22 Fordham is in the $60,000 a year range tuition.
    0:28:23 Is that right?
    0:28:24 Yeah.
    0:28:31 Talk about how you deal with financial aid, whether it’s need-based and also merit aid.
    0:28:37 We are need-blind in admissions, but we are not one of the handful of schools wealthy
    0:28:39 enough to fully meet need.
    0:28:41 That is our biggest priority.
    0:28:45 The biggest part of our budget is making ourselves affordable.
    0:28:50 We’re starting to try to shift more of our money from merit aid to financial need.
    0:28:53 The advantage of merit aid is you attract top students.
    0:28:56 You make them feel more special because of the scholarship.
    0:29:01 The disadvantage is, of course, some of those students who are the top students also have
    0:29:03 need, but some of them don’t.
    0:29:07 You’re spending money that you’d rather spend on those who can’t afford to be there.
    0:29:11 But we’re stuck in higher ed in a really stupid pricing model.
    0:29:16 The part that we know about is the price discrimination where we charge the wealthy what they can afford
    0:29:19 to pay and thus supplement those who can’t.
    0:29:24 But the part that I think is hidden is that the market really drives sticker price being
    0:29:28 high because sticker price signals quality.
    0:29:32 The elite schools tend to have more of the barbell, the very wealthy and those really
    0:29:33 struggling.
    0:29:38 Most of us have far more of the middle class who often, frankly, get squeezed out of the
    0:29:39 elite schools.
    0:29:44 When schools like ours reduce our sticker price to what we tend to actually charge on
    0:29:50 average, those schools have tended to fail because the consumer is suspicious that that
    0:29:53 school is not as good because it does not charge as much.
    0:29:57 So what is your actual average price at, let’s say, an incoming freshman will pay this year
    0:30:02 with a sticker price of around $60,000, what will the actual average be?
    0:30:03 $30,000.
    0:30:04 Wow.
    0:30:07 There have been accusations that colleges and universities have colluded in the past.
    0:30:09 Sometimes they’ve been busted for it.
    0:30:12 There are others who argue that they should collude more.
    0:30:16 And I would think that this would be a case where collusion would be good to fight this
    0:30:17 very problem that you’re talking about.
    0:30:19 Has there been any progress toward that?
    0:30:24 So there’s a world where we would all say, okay, let’s all lower our prices to what we
    0:30:30 really charge because that sticker price is so disheartening and so scary to those without
    0:30:33 the sophistication to understand it’s not real.
    0:30:34 But we’re not allowed to do that.
    0:30:36 We can’t collude on price.
    0:30:40 So this is where the market is, you know, it sounds silly except that when you go to
    0:30:48 buy, you know, a jacket and there’s one jacket that’s $100, that’s 50% off and one jacket
    0:30:52 that’s $50, even if they’re the same jacket, you’re going to go for the first one, right?
    0:30:55 This is human psychology, this is how we all behave.
    0:30:59 And if you get the 50% off because you are special, because you earned the scholarship,
    0:31:01 it makes you feel even better about it.
    0:31:05 And so it is very hard for us to break out of the system.
    0:31:09 Let’s talk a little bit about growing the size of student populations.
    0:31:14 Historically, the college population in the US rose and rose and rose and rose and rose,
    0:31:18 but then it hit what looked to be a bit of a ceiling and it’s come back down a little
    0:31:19 bit.
    0:31:23 There are some schools, however, who just don’t like to grow.
    0:31:26 There’s research by these two economists, Peter Blair and Kent Smetters, that finds
    0:31:31 that elite colleges have mostly capped their enrollment numbers since the 1980s.
    0:31:36 Their argument is that those caps have to do with mostly universities wanting to maintain
    0:31:39 their prestige, protect their reputations.
    0:31:43 And they argue in a kind of quiet voice that this is a shame, the idea being that if these
    0:31:48 universities are so good and so elite at educating people, they should educate more people just
    0:31:52 like any firm that’s successful wants more customers, not the same number.
    0:31:58 So let’s just start with that, your thoughts on the notion that elite schools keep their
    0:32:05 populations about the same, why they do that and why you’re not thinking like that.
    0:32:10 When you look at when elite schools stopped growing, it was exactly the same time US news
    0:32:12 introduced the rankings.
    0:32:18 And those rankings until very recently encouraged a major category of selectivity.
    0:32:22 They created these profound incentives for all of us, but the elites who battle with
    0:32:28 each other for top dog to reject as many students as possible, that’s how you were measured.
    0:32:34 The elites get status and prestige and very specifically rankings by virtue of how low
    0:32:35 that acceptance rate is.
    0:32:41 My favorite satirical headline once was Stanford achieved 0% admission rate.
    0:32:44 It was a joke, but it was something very real.
    0:32:45 Just barely.
    0:32:46 Yep.
    0:32:47 Yes, exactly.
    0:32:53 After we’ve landed, the idea that the solution to this is to get a few thousand more students
    0:32:57 into those elite schools, I think begs the question of why they are the answer.
    0:33:03 Because what the rankings also did is it took a higher ed system of glorious complexity
    0:33:08 and variety, about 4,000 nonprofit schools, and it put us in line order when really we’re
    0:33:10 in clumps of ties.
    0:33:15 And it was never true that you could only get a good education at a handful of schools.
    0:33:19 I think to buy into that, to say that that should be the focus really ignores the fact
    0:33:23 that there are probably 100 universities in this country that provide the same kind of
    0:33:25 academic excellence.
    0:33:31 And we need to remind ourselves of that, because the more we just play into the rankings game
    0:33:35 of chasing status, the more alumni get status from giving to those universities.
    0:33:40 We’ve really ratcheted up the cleaving between the haves and have nots, and that gets worse
    0:33:41 and worse.
    0:33:46 So Fordham, I believe, has increased enrollment by about 10% over the past 10 years.
    0:33:48 Does that sound about right?
    0:33:49 I think so, yeah.
    0:33:50 So talk to me about that.
    0:33:55 When you’re trying to grow, especially in a city like New York, what are the big challenges?
    0:33:57 Are there enough good professors?
    0:33:58 What does it mean for facilities?
    0:34:01 Are there enough students that you want and so on?
    0:34:07 The biggest challenge is students, because right now we have a demographic downturn in
    0:34:14 the number of 18-year-olds generally, and that will peak 18 years after the 2008 recession
    0:34:15 started.
    0:34:19 People dramatically had fewer children, but we also have a drop in the percentage of
    0:34:23 Americans going to college, and that has been rather dramatic.
    0:34:30 It’s a mix of COVID and then most recently of the FAFSA form debacle.
    0:34:35 So you may have seen in the news, but the Department of Ed stumbled for all sorts of
    0:34:38 reasons to redo the FAFSA form.
    0:34:45 In case you haven’t seen the FAFSA debacle in the news, FAFSA stands for Free Application
    0:34:46 for Federal Student Aid.
    0:34:49 It is administered by the federal government.
    0:34:54 This past admission season, there were technical problems that meant FAFSA came online three
    0:35:02 months late and then sent inaccurate financial aid offers to around a million applicants.
    0:35:07 What it means is that for most schools, they’re looking at a decline in their populations
    0:35:11 and in community colleges, especially a quite dramatic one.
    0:35:18 So for any school other than the very, very elites to grow is not possible right now.
    0:35:22 What I worry about is that for most of higher ed, they’re just not going to be able to
    0:35:25 make it anymore, and the country will suffer so much from that.
    0:35:31 We understand still as a society that K through 12 is a right, is not seen as some kind of
    0:35:36 commie experiment, but somehow higher ed is not seen as a right anymore.
    0:35:41 After World War II was the last time the economy really shuttered to a halt because we weren’t
    0:35:43 building weapons anymore.
    0:35:48 And Congress made the brilliant decision to invest in all those millions of veterans
    0:35:53 coming home from the war who would not have jobs to say, “We will pay for your education.”
    0:35:59 And it fueled so many Nobel Prizes and Pulitzers and the rise of the middle class in the ’50s
    0:36:01 and global economic dominance in the world.
    0:36:06 It was such a smart thing to do, and yet now we’re doing the opposite.
    0:36:10 The Pell Grants, which when they were unveiled in the ’70s were enough to cover tuition room
    0:36:14 and board for most schools, now are a pittance.
    0:36:18 And states are disinvesting from their public institutions.
    0:36:19 China’s not doing that.
    0:36:24 The public’s perception of academia has fallen a lot.
    0:36:28 It began on the right, but now the left is catching up.
    0:36:32 There are many perceptions out there, one of which is that college campuses can be hostile
    0:36:34 to young men.
    0:36:38 Fordham is now majority female, I was surprised to see.
    0:36:42 There’s another perception that colleges are hostile to anyone who leans even a little
    0:36:46 bit conservative in any dimension, students and faculty.
    0:36:51 There’s the perception that it’s too expensive, it’s too exclusive, it’s not useful enough
    0:36:52 in the real world.
    0:36:56 So how are you reckoning with that general perception of decline?
    0:37:02 Well, it’s hard because there’s great political benefit to tearing down trust in institutions.
    0:37:06 It’s easy to do, it resonates with people who are understandably cynical.
    0:37:10 And once you’ve done it, it’s done, and it’s very hard to rebuild.
    0:37:14 All of higher ed has become majority female, and that’s a much deeper topic to grapple
    0:37:17 with than when I worry about as well.
    0:37:21 You worry because there are all those men who are not getting involved in that kind
    0:37:22 of system?
    0:37:23 Exactly.
    0:37:28 I think men are opting out of the opportunities that they need in an increasingly knowledge
    0:37:33 based economy, and we will all suffer as a result of that, and so I worry about that.
    0:37:37 So the return on investment is sort of laughable because when you look at the data, it is so
    0:37:42 clear the financial return on investment, which just proves that you can make things
    0:37:43 up and they stick.
    0:37:49 And I would say that part of what I find really offensive are politicians saying that it’s
    0:37:53 not worth it to go to college, none of whom say that to their own children.
    0:37:55 None of whom didn’t go to college either.
    0:37:56 Exactly.
    0:37:57 And law school on top of that.
    0:37:59 And graduate school.
    0:38:05 So we become a political football of late in ways that make us really vulnerable, but
    0:38:11 what’s so sad about that is the countries against whom the US competes, none of them are disinvesting
    0:38:13 from education right now.
    0:38:20 We are shooting ourselves in the foot in profound ways when we decide for political points,
    0:38:25 we will take away one of the great higher education systems in the world that’s been
    0:38:27 the envy of the world for so long.
    0:38:32 We’re going to keep pulling back from it, pulling funds, pulling credibility and trust,
    0:38:36 all for scoring political points in a temporary way.
    0:38:41 If we’re going to talk about the attacks on institutions generally, let’s not ignore
    0:38:44 the one that you’re associated with, which is the Catholic Church.
    0:38:49 That’s a case where it mostly revolved around the priest sex scandals that have been revealed
    0:38:53 and the coverups really of the past 30 or 40 years.
    0:38:58 I haven’t seen numbers lately on the perception of the Catholic Church as an institution,
    0:39:03 but I’m guessing it’s fallen very similarly to the way the reputation of colleges and
    0:39:04 universities have.
    0:39:12 The trust in religious institutions generally plummeted a while back, and then of course
    0:39:16 trust in the Catholic Church, given the scandals, deservedly plummeted.
    0:39:21 What I know from having spent much of my career fighting against sexual abuse is that that
    0:39:28 denial, those coverups, the level of abuse still exists in all other institutions that
    0:39:33 have trusting relationships over children, and my worry is we’re not learning the painful
    0:39:35 lessons the Church learned.
    0:39:37 What other institutions do you mean?
    0:39:44 We’re seeing scandals emerge from Boy Scouts, from other religious institutions, but also
    0:39:49 the vast majority of child sex abuse happens within families.
    0:39:53 What I used to do every day was to go into court and beg judges to care about that, and
    0:39:57 they found it so depressing that they just decided it was made up most of the time.
    0:40:03 That’s a whole other episode, but the reality is, again, these problems weren’t unique to
    0:40:04 the Church.
    0:40:08 The Church really messed it up, and my hope is that everyone else will stop being in
    0:40:11 denial about where we still have a crisis.
    0:40:15 Do you have much of a relationship with the Cardinal of the Archdiocese of New York?
    0:40:16 Yes.
    0:40:21 Cardinal Dolan and I get together at least once a year, if not more often.
    0:40:28 It’s not that Catholic universities report to the Church, nor do we get funding from
    0:40:33 them, but we exist in relationship, and I’m lucky in that it’s a very friendly and cordial
    0:40:34 relationship.
    0:40:40 Do you think it makes sense that academic institutions like Fordham have such big tax
    0:40:44 advantages in a city like New York?
    0:40:49 If you look at the biggest landowners in New York, two of them are universities, Columbia
    0:40:56 and NYU, and then the Catholic Church is another big one, and they’re all tax exempt, and you
    0:40:59 at Fordham are kind of at the sweet spot of those two.
    0:41:04 Does that make sense to you in a 21st century tax environment?
    0:41:06 Here’s why it does.
    0:41:13 When you are taxing a for-profit entity, you are creating a business expense, you’re taking
    0:41:17 off a profit margin to fund city institutions.
    0:41:23 The idea, in general, is that if you are a nonprofit civic organization doing good for
    0:41:26 the world, we’d rather you spend your money doing that.
    0:41:31 We are huge economic engines for cities, Senator Moynihan had a great quote that if you want
    0:41:36 a great city, build a university and wait 200 years.
    0:41:40 If you were to design what will make an economy flourish, it would not just be the infrastructure
    0:41:44 taxes pay for, it would be great universities.
    0:41:50 If we were looking ahead to Fordham, let’s say 20 or maybe even 50 years from now, in
    0:41:54 what significant ways would you like it to be very different than it is today?
    0:41:57 You can keep all the good stuff, but what would you like to change?
    0:42:04 I think when I look ahead, deep down, that what I would like us to do is to not chase
    0:42:05 status.
    0:42:10 It’s just to do good for the world, and that has become ever more crucial because the problems
    0:42:17 of the world just seem so urgent and full of despair, and so that we look back on our
    0:42:20 careers here at Fordham and know that we mattered.
    0:42:25 Not about silliness, it doesn’t matter, but we have hundreds of thousands of living alumni,
    0:42:28 and they matter every day in ways we’ll never see.
    0:42:35 Did we have a profound impact on the kind of ethics and empathy and work that they do
    0:42:36 every day?
    0:42:43 I’d like to thank Tanya Tetlow, president of Fordham University for a conversation that
    0:42:47 was much meatier than many conversations I hear these days with people in positions
    0:42:54 of authority, so I appreciate her forthrightness and her courage in saying how she really
    0:42:57 sees things, or at least what I think is how she really sees things.
    0:43:02 Maybe I’ve been the target of a massive con job, but I don’t think so.
    0:43:06 One reason I wanted you to hear this conversation today is because next week we are going to
    0:43:11 start playing for you an updated version of one of the most important series we’ve ever
    0:43:17 made about the economics of higher education, the supply and the demand, the controversies
    0:43:22 and the hypocrisies, the answers and the questions.
    0:43:25 Why are more women going to college than men?
    0:43:29 What happens when black and Hispanic students lose admissions advantages?
    0:43:32 How does the marketplace for higher education operate?
    0:43:37 I tell you something, it’s a darn good question.
    0:43:38 That’s next time on the show.
    0:43:43 Until then, take care of yourself, and if you can, someone else too.
    0:43:46 Free Economics Radio is produced by Stitcher and Renbud Radio.
    0:43:52 You can find our entire archive on any podcast app, also at freeconomics.com, where we publish
    0:43:54 transcripts and show notes.
    0:43:58 This episode was produced by Zach Lipinski with help from Dalvin Abouajie.
    0:44:03 Our staff also includes Alina Cullman, Augusta Chapman, Eleanor Osborne, Elsa Hernandez,
    0:44:08 Gabriel Roth, Greg Rippen, Jasmine Klinger, Jeremy Johnston, John Schnars, Julie Canford,
    0:44:13 Lyric Bowditch, Morgan Levy, Neil Caruth, Rebecca Lee Douglas, Sara Lilly and Theo Jacobs.
    0:44:16 Our theme song is “Mr. Fortune” by The Hitchhikers.
    0:44:19 Our composer is Luis Guerra.
    0:44:25 As always, thanks for listening.
    0:44:42 We have always—sorry, I can’t think of the word.
    0:44:45 (gentle music)
    0:44:47 you

    Tania Tetlow, a former federal prosecutor and now the president of Fordham University, thinks the modern campus could use a dose of old-fashioned values.

     

     

     

  • 599. The World’s Most Valuable Unused Resource

    AI transcript
    0:00:08 Andrew Yang is a politician, an entrepreneur, an author.
    0:00:12 We’ve had him on the show a few times, most recently to talk about voting reform in an
    0:00:16 episode called Why Don’t We Have Better Candidates for President?
    0:00:23 He is enthusiastic about voting reform, especially open primaries and ranked choice voting.
    0:00:27 He’s also enthusiastic about the idea of a universal basic income, which he brought
    0:00:32 to mainstream attention when he ran for president in 2020.
    0:00:37 Yang is enthusiastic about a lot of interesting ideas, which is a big reason I like speaking
    0:00:38 with him.
    0:00:42 One of these ideas is something that I’m enthusiastic about too.
    0:00:47 This idea has been around for a while, but it’s still pretty obscure.
    0:00:53 So today, on Freakonomics Radio, we would like to give it a bit of exposure and maybe
    0:00:55 it’ll catch fire.
    0:01:00 This idea has a variety of names, so I asked Andrew Yang what he likes to call it.
    0:01:09 I’ve been using multivariate economy, but that is sexy, yeah, multivariate economy.
    0:01:13 But we can use time banking, it’s probably the most popular.
    0:01:20 Time banking can also be known as time dollars or human dollars or labor certificates.
    0:01:22 The idea is pretty straightforward.
    0:01:29 You set up a system in which people agree to use time as a measure of value, not replacing
    0:01:33 money, but creating a parallel human-centered economy.
    0:01:40 You can imagine it being a time barter system on steroids enabled by modern technology.
    0:01:42 Talk about the mechanics of it, how it would actually work.
    0:01:49 Maybe just give one example, how this human dollar, let’s call it, gets spent and shared.
    0:01:52 What are the tasks that create the value?
    0:01:57 So I put myself out there and say, “Hey, guys, I’m not good at a lot of things, but
    0:02:03 I am good at tutoring kids in middle school math and reading.
    0:02:07 So if anyone needs a tutor for this, I’m going to be your person.”
    0:02:10 And you say, “I’m offering X number of hours a week.”
    0:02:14 Yes, I’m offering X number of hours a week here where I’m located.
    0:02:19 If you take me up on this and then I show up and then you sign off and say, “Yes, he
    0:02:22 actually did show up and he did a good job and here’s a picture of him with my child
    0:02:29 and it’s non-creepy,” then I will have earned, let’s call it, 20 human dollars.
    0:02:30 Then I say, “Well, great.
    0:02:32 What am I going to do with these?”
    0:02:33 And then I look around and say, “You know what?
    0:02:38 I could really use a home-cooked meal because I’m terrible at that,” which by the way is
    0:02:41 a pretty real example.
    0:02:45 And then there’s someone that’s like, “I’d love to cook and I am happy to make surplus
    0:02:50 food and I will happily take those human dollars off your hands.
    0:02:57 You can wind up supercharging everyone’s communal experience.”
    0:03:02 This kind of exchange may sound old-fashioned, like something we used to do all the time
    0:03:07 that didn’t even need a name, but the digital age has changed many things.
    0:03:13 One of them being how accustomed we are to getting what we want with just a few clicks.
    0:03:18 I think it’s worth asking what may have been lost in this revolution of convenience and
    0:03:21 as the old-fashioned barter system fades away.
    0:03:27 There was the face-to-faceness of it, of course, but it also reminds you of a time before the
    0:03:33 financialization of everything, which we’ve also become accustomed to.
    0:03:40 So maybe it’s time to give this obscure old-fashioned idea a real shot.
    0:03:43 Maybe it’s time we start a time bank of our own.
    0:03:45 You know, we’re going to need a catchy name, ASAP.
    0:03:48 I guess Yang Freak is not quite right.
    0:03:49 Yeah, no.
    0:03:52 That’ll just scare people off and have them running the other direction.
    0:03:55 So we could call it time banking for the time being.
    0:03:56 Okay.
    0:04:00 For the time being, we will call it time banking.
    0:04:03 Maybe this idea doesn’t sound very promising to you.
    0:04:08 It’s old-fashioned, doesn’t have much momentum, doesn’t even have a real name.
    0:04:09 Maybe you can help us with the name.
    0:04:15 If you have an idea, email it to us radio@freakonomics.com.
    0:04:20 As for the momentum, well, maybe you can help with that, too.
    0:04:24 At the end of this episode, I’ll tell you what we’re looking for.
    0:04:27 In the meantime, we will hear from a time banking booster.
    0:04:30 It just blew my mind.
    0:04:31 And a skeptic.
    0:04:36 I just don’t think of it as a scalable way to run a significant part of the economy.
    0:04:40 But what kind of show would we be if we let a little skepticism stop us?
    0:05:09 They’re going to freaking do it.
    0:05:14 You could look at time banking as just another market, and economists are good at thinking
    0:05:17 about how markets work or don’t work.
    0:05:20 Al Roth is particularly good at this.
    0:05:24 I’ve done a lot of market design, and a lot of market design involves going and talking
    0:05:28 to people about their problems and understanding their problems.
    0:05:34 Roth teaches at Stanford, and he has won a Nobel Prize for his work in market design.
    0:05:39 Back in 2015, we made an episode called “Make Me a Match” about Roth’s inventive system
    0:05:45 to match potential kidney donors with people who need a kidney transplant.
    0:05:50 That system has saved thousands of lives and inspired a lot of Freakonomics radio listeners
    0:05:51 to get involved.
    0:05:57 I’m hoping this episode about time banking will also get some of you involved.
    0:06:00 I asked Al Roth what he thinks of time banking.
    0:06:05 He suggested that before starting up some crazy new currency, we should appreciate
    0:06:07 what we’ve already got.
    0:06:14 Let’s take a moment to be astounded at how successful money is as a market design invention.
    0:06:15 Someone wrote a book called “The Pencil.”
    0:06:19 The thing about a pencil is it’s a compound object made on different machines with resources
    0:06:22 gotten in different places, and it’s cheap.
    0:06:26 All of those interactions, you know, getting the rubber for the eraser and the graphite
    0:06:27 for the pencil itself.
    0:06:30 All of those are mediated by money, and that’s the miracle of money.
    0:06:32 It’s quite a remarkable invention.
    0:06:35 So now you’re saying, can we do the same thing with time?
    0:06:38 So think of all the things that had to be done to make money money, right?
    0:06:42 There was coinage originally, and then you worried that people would cheat on the coinage
    0:06:45 by scraping off little bits.
    0:06:51 Centuries went into figuring out how to organize trade in things like precious metals.
    0:06:56 I appreciated Roth’s points about money, and its advantages are clear.
    0:07:02 Money is fungible, it stores value over time, it’s simple to exchange.
    0:07:07 But years ago, I came across a couple books written by Edgar Kahn, a lawyer and social
    0:07:08 activist.
    0:07:12 One was called “No More Throwaway People.”
    0:07:16 The other was called “Time Dollars,” the new currency that enables Americans to turn
    0:07:22 their hidden resource, time, into personal security and community renewal.
    0:07:26 I once went to see Kahn speak because I was working on my own book at the time about the
    0:07:29 psychology of money.
    0:07:34 Back then, I was interested in learning how the standard economy works and doesn’t work,
    0:07:38 who thrives in an economy like ours and who struggles.
    0:07:43 So let’s hear how Edgar Kahn came up with the idea of time banking.
    0:07:47 He was the one who brought modern time banking back during the Ronald Reagan administration
    0:07:50 when a lot of the social services were drying up.
    0:07:55 And he realized that we needed to come up with a different economy where individuals
    0:07:58 can rely on one another, not just a public institution.
    0:08:00 That is Krista Wyatt.
    0:08:05 She is the CEO of a group called TimeBanks.org, which carries on the work of Edgar Kahn.
    0:08:08 He died in 2022.
    0:08:13 We asked Wyatt to read a key passage from a speech that Kahn once gave about the shortcomings
    0:08:15 of money and prices.
    0:08:20 When we look at what price does, we see it devalues everything we define as a human
    0:08:21 being.
    0:08:27 Yet, these capacities, the ones we all share, are what enable our species to survive, caring
    0:08:33 for each other, coming to each other’s rescue, rearing infants, protecting the frail and
    0:08:38 vulnerable, standing for what’s right, opposing what’s wrong.
    0:08:45 Krista Wyatt, before becoming CEO of TimeBanks.org, worked for a variety of charitable organizations.
    0:08:49 One of them helped bring together women who had recently been diagnosed with breast cancer
    0:08:52 and other women who had already gone through the same experience.
    0:08:57 I’ve been a nonprofit for 30 years, and I didn’t find out about time banking until
    0:09:00 about 10 years ago, and it just blew my mind.
    0:09:03 I’m like, why is this not on every corner?
    0:09:05 Why are people not talking about it?
    0:09:07 So why aren’t people talking about it?
    0:09:15 We did a survey 2002, and we found out that we had over 40,000 members out there, and
    0:09:22 we have at least 500 time banks in the US, and there are time banks in other countries.
    0:09:25 We have 22 time banks in China.
    0:09:27 There is a huge time bank in the UK.
    0:09:32 We cover at least 42 countries, and we’re working on one in Saudi Arabia.
    0:09:38 On a planet of nearly 8 billion people, 40,000 members is pretty small, especially for an
    0:09:41 idea that’s been around for a while.
    0:09:46 Time banking started in the early industrial revolution with an anarchist, Joshua Warren.
    0:09:51 He opened a time bank in 1827 called Time Store in Cincinnati.
    0:09:56 In the 20th century, during World War II, a Japanese woman named Teruko Mizushima gave
    0:09:58 the idea a try.
    0:10:04 She traded her sewing skills for fresh vegetables during the Pacific War in the early 1940s,
    0:10:09 and she started her time bank in 1973 called Volunteer Labor Bank.
    0:10:11 She had over 1,000 members.
    0:10:14 Most of her members were women, usually housewives.
    0:10:19 That time bank still exists, run out of Osaka.
    0:10:24 But despite a few successes, time banking just didn’t catch on.
    0:10:28 You might think the COVID pandemic would have revived interest, but it didn’t.
    0:10:33 There are time banks that had closed because of the lack of member engagement and the funding
    0:10:34 wasn’t there.
    0:10:35 I’ll be perfectly honest.
    0:10:38 We are not great in funding.
    0:10:43 We have a private donor that really believes in the time bank community, and he’s the one
    0:10:49 who has really supported me through the last four years, but we need to do better.
    0:10:50 We are struggling.
    0:10:54 You said that you’d been in the non-profit world for a long time before you heard about
    0:10:55 it.
    0:10:56 Yes.
    0:10:59 I mean, that sounds kind of like bad news, like it should be more prominent.
    0:11:01 Why is it not, do you think?
    0:11:02 There’s many reasons.
    0:11:05 I didn’t see enough marketing material out there.
    0:11:06 I don’t see it on the web.
    0:11:09 I don’t hear it from public speakers.
    0:11:16 And then also the concept is so easy to some and so complicated to others.
    0:11:21 There have been college towns and other communities that have adopted time banking.
    0:11:23 That again is Andrew Yang.
    0:11:26 The core of it is that we all have value.
    0:11:28 We all have things we can contribute.
    0:11:31 There are ways that other people can help us.
    0:11:36 And one of the main things that we’re combating really is a sense of isolation and desolation
    0:11:38 and loneliness.
    0:11:43 And so if you want people to reach out to each other, to help each other, to connect
    0:11:49 to their neighbors and folks in their community, this would be a very, very powerful way to
    0:11:50 make that happen.
    0:11:56 And in my opinion, there has to be some kind of mechanism that encourages us to help each
    0:11:57 other.
    0:12:00 So you and I have talked about this, we’re both enthusiastic about this idea and we’ve
    0:12:05 talked about actually trying to make this happen on a bigger scale or stage.
    0:12:09 And granted, there have been a lot of people who’ve been doing exactly this on a small
    0:12:13 scale in many places over time.
    0:12:20 Can you just talk about what you see as the most fruitful way to set this up in terms
    0:12:25 of whether it should be a private public partnership with government involved to some degree?
    0:12:30 Is it primarily a software platform or is it more of an in real life thing?
    0:12:34 Does it have a local focus or should it be national or even international?
    0:12:36 What do you see as the best structure?
    0:12:42 I think that it needs to be somewhat localized so that you encourage more in-person interaction.
    0:12:47 Having people out of the house talking to each other and helping each other, traditionally
    0:12:53 this sort of thing would be led with philanthropy and then you would bring in various corporates
    0:12:55 and then the last domino is government.
    0:12:59 But if you were to choose a particular location, let’s call it New York City for the sake of
    0:13:04 this, then there’d be public officials cheerleading for it right and left because it solves a
    0:13:07 lot of the problems that they’re most animated about.
    0:13:13 You once wrote to me in an email, I’m convinced that the monetary economy is going to grind
    0:13:18 us up and you’ve argued that it really already has ground up a majority of people in this
    0:13:23 country and that a multivariate economy, caring and nurturing arts and creativity, fitness
    0:13:29 and wellness, etc., is the only way out and will require multiple currencies to get right.
    0:13:33 In addition to what we’re talking about today, what do you see as other currencies that do
    0:13:37 exist that we might want to draft off of or even borrow from?
    0:13:43 The best example I can use is that punch card at your local deli where you get 10 sandwiches
    0:13:45 and then you have the 11th for free.
    0:13:49 That has a place of honor in your wallet and you get really excited when you get close
    0:13:50 to the free sandwich.
    0:13:57 If you can imagine a version of the deli punch card or showing up to all sorts of things,
    0:13:59 that’s the vision.
    0:14:04 Americans love points, Americans love rewards, Americans love stuff.
    0:14:11 I have these reward points on my AmEx and it’s mesmerizing even though right now it
    0:14:14 doesn’t cost them anything because I’m not going to redeem it because I’m hoarding for,
    0:14:18 I don’t know what I’m hoarding for.
    0:14:23 That’s really the core idea is that if you give Americans cumulative rewards for doing
    0:14:25 awesome stuff, you’ll see more awesome stuff.
    0:14:32 Okay, so who could possibly be against a scheme that rewards people for doing awesome stuff?
    0:14:38 Well, there is a certain Nobel Prize winning economist.
    0:14:41 Some people’s time might be more valuable than other people’s.
    0:14:43 That’s coming up after the break.
    0:14:52 I’m Stephen Dubner and this is Freakin’ AmEx Radio.
    0:14:59 As appealing as the idea of time banking is to me and to Andrew Yang, most economists
    0:15:03 think that money is a much better measure of value than time.
    0:15:06 Here again is Al Roth.
    0:15:11 Time is an interesting commodity and we buy and sell it all the time.
    0:15:13 When you hire a lawyer, he bills you by the hour.
    0:15:17 You give him money for his time and expertise.
    0:15:22 You might hire someone to house it for you and water your plants while you’re away.
    0:15:26 So we trade time a lot, but not for time.
    0:15:30 And part of the reason is that time is sort of a clunky commodity.
    0:15:32 It’s a lot easier to trade other things.
    0:15:33 But why is it so clunky?
    0:15:37 I mean, just as a dollar is a dollar, an hour is an hour.
    0:15:42 Well, one of the things we worry about with monetary markets is some people have more
    0:15:46 dollars than other people do and that gives them more access and maybe we don’t always
    0:15:47 feel great about that.
    0:15:52 And so I think some of the charm to people who are charmed by time banks is that everyone
    0:15:54 has 24 hours in a day.
    0:16:00 But you know, a working mother of three kids has less time than a retired banker who has
    0:16:03 a cleaner come into his house and a gardener.
    0:16:05 So not everyone has the same amount of time.
    0:16:08 And it’s clunky because it’s also hard to transfer.
    0:16:13 There’s the joke about the lawyer who goes to see a dentist and dentist fills his cavity
    0:16:14 in 10 minutes.
    0:16:17 But the lawyer says to him, “You make more per hour than I do.”
    0:16:20 And the dentist says, “Would you prefer that I took an hour?”
    0:16:27 So we solicited a few other economists to come on the show to talk about time banking.
    0:16:31 One of them, who shall go unnamed, wrote back to say, “The more I think about it, the more
    0:16:34 I think it is the dumbest idea in the world.
    0:16:38 So do you hate the idea as much as that economist?”
    0:16:41 I don’t hate it as much as that economist.
    0:16:48 By and large, I think that finding more opportunities for valuable exchange, for exchange that improves
    0:16:50 welfare on both sides, is a good thing.
    0:16:53 So I certainly have nothing against swapping time for time.
    0:16:58 I just don’t think of it as a scalable way to run a significant part of the economy.
    0:17:02 The reason the idea appeals to me is because I’ve spent a lot of time with people like
    0:17:07 you, economists, and when you get a little bit off the beaten path, you start thinking
    0:17:12 about things like shadow time, the hours I have when I’m not on the clock and what they’re
    0:17:15 worth to me and how I could spend them.
    0:17:19 And then I also just think about human capital, which economists are always going on and on
    0:17:20 about.
    0:17:24 It feels like that’s the purpose of a lot of economic research these days is to show
    0:17:29 how important it is for people to build human capital through education and social networks
    0:17:33 and so on, because human capital is indeed really valuable.
    0:17:42 But then when I look around the world, I see so much surplus, dare I say, wasted human capital.
    0:17:47 People who are able to do things that may not be that valuable in a regular market circumstance
    0:17:52 and may not even be that valuable to them, but might be very valuable to other people.
    0:17:58 And wouldn’t it be wonderful to find a way to give value to that surplus human capital?
    0:18:03 I mean, if you add it all up, that could be the biggest natural resource in the world,
    0:18:08 worth more than all the petroleum and other mineral products combined.
    0:18:13 And then I thought, well, who out there in the world would appreciate that more than Al
    0:18:19 Roth, who recognized that there is surplus sitting around in people’s bodies, for instance,
    0:18:25 in the form of a second kidney and found a way to set up a system to make those extra
    0:18:27 kidneys available.
    0:18:32 So does that make time banking a tad more viable in your view?
    0:18:38 Well, I already said that I am in favor of looking for ways to increase valuable exchanges.
    0:18:42 So when time for time works, that’s great.
    0:18:46 But when you talk about human capital, you’re already suggesting that on some tasks, some
    0:18:51 people’s time might be more valuable than other people’s because they have more human
    0:18:57 capital and that’s what makes time clunky if all we’re doing is swapping time.
    0:19:01 I live on a college campus, so we trade time all the time by inviting people to dinner
    0:19:03 and then they invite us back to dinner.
    0:19:07 Dinner is sort of time you expect you’re going to spend two, two and a half hours with people
    0:19:10 and create connections that can’t be monetized.
    0:19:12 And it’s part of what makes life worth living.
    0:19:15 And if they had to eat and run, it would be a less successful dinner.
    0:19:20 We sometimes have the feeling we’ve now been invited to your house three times and we haven’t
    0:19:21 invited you back yet.
    0:19:22 We’d better do that.
    0:19:26 You could consider just saying, hey, here’s a couple hundred dollars for those three dinners.
    0:19:27 Have you ever tried that?
    0:19:29 That would end a friendship pretty quickly, wouldn’t it?
    0:19:34 Well, it could be advantageous if it’s a friendship that’s in a condition where they’ve had you
    0:19:37 over three times and you haven’t wanted them to come to your house once.
    0:19:39 Well, sure.
    0:19:45 Supporters of time banking think it can be useful for more than just dinner parties among
    0:19:46 college professors.
    0:19:51 Andrew Yang spends a lot of time talking about the so-called invisible economy.
    0:19:55 The work some of us do that the regular economy simply doesn’t count.
    0:20:00 My wife who’s at home with our son who’s autistic, that has immense value.
    0:20:04 The market right now does not give that appropriate value.
    0:20:10 If someone is painting a mural in their neighborhood and beautifying it, that has value that maybe
    0:20:12 doesn’t show up in our current system.
    0:20:18 If someone shows up to a nursing home and volunteers, if someone is tutoring children,
    0:20:25 if someone is making people around them healthier and more active, all of these things have
    0:20:32 positive values that right now would not get properly recognized or rewarded in our current
    0:20:33 monetary economy.
    0:20:39 What if I were to say, Andrew, you’re also a political player and the reason that so
    0:20:43 much money is drawn into politics is because there’s so much leverage in the political
    0:20:44 system.
    0:20:50 Wouldn’t it be better to focus on that, to remake the political system so that all the
    0:20:56 benefits that you want from this human dollar system were just there already?
    0:21:00 You wouldn’t have to recreate this whole second system to take care of it.
    0:21:04 In other words, set up the political system to make the economy more human-centered in
    0:21:05 the first place.
    0:21:06 Why isn’t that the best solution?
    0:21:09 Oh, I love that solution too, Stephen.
    0:21:11 We should definitely pursue that.
    0:21:16 I’m working on that every day, but there’s no reason why we can’t demonstrate what’s
    0:21:20 possible given current technologies and what resources we have.
    0:21:27 I could imagine countless religious organizations and food banks and volunteer programs hearing
    0:21:29 us talk about this and say, “Hey, what do you think we’re doing?
    0:21:31 What do you think we’ve been doing forever?
    0:21:33 How is this different?”
    0:21:37 Hopefully it supercharges many of those organizations and communities.
    0:21:43 If you do time banking at scale, you wind up having a lot of that energy flow through
    0:21:49 existing nonprofits and religious orgs because in many ways they’re the best situated to
    0:21:55 be able to encourage and monitor and benefit from more people getting out and doing more
    0:21:58 things for other people.
    0:22:02 Now I want to talk to someone who could tell us some more about volunteering generally.
    0:22:08 One has to realize how important volunteering is to the large national network of nonprofit
    0:22:16 organizations that are a backbone and an under-recognized asset within U.S. society.
    0:22:17 That is Nathan Dietz.
    0:22:22 I’m the research director at the Dugodd Institute at the University of Maryland.
    0:22:24 And what is the Dugodd Institute?
    0:22:28 The Dugodd Institute is a policy center within the School of Public Policy.
    0:22:33 Our focus is on studies of nonprofits and philanthropy in general.
    0:22:38 In his research, Dietz has found that volunteering in the U.S. has been declining for at least
    0:22:39 a couple decades.
    0:22:45 We can start right after September 11, 2001, the first national data collection in a long
    0:22:47 time about volunteering was done.
    0:22:52 Before then, data on volunteering was collected only every few decades as part of the current
    0:22:55 population survey that’s run by the Census Bureau.
    0:23:02 But researchers wanted to know how the national tragedy of 9/11 would affect volunteering.
    0:23:07 In the early 2000s, they found that nearly 30% of Americans were doing some volunteering
    0:23:12 through formal organizations like nonprofits or religious institutions.
    0:23:14 And then we saw a decline.
    0:23:19 We’ve always read that as the decline that’s kind of a result of the wearing off of whatever
    0:23:24 feelings of unity and ties to community that people felt after 9/11.
    0:23:28 Starting in about 2010, 2011, we started to see declines every year.
    0:23:32 And I don’t think anyone really noticed the fact that that had happened because the declines
    0:23:33 were so small every year.
    0:23:34 It’s a classic —
    0:23:36 The frog in the pot of water?
    0:23:37 Right.
    0:23:39 Which I think is probably not a true thing I’ve read.
    0:23:40 Oh, I hope not.
    0:23:42 You know, for the frog’s sake.
    0:23:43 Okay.
    0:23:49 So you’re saying that the current volunteering rate in the U.S. is lower than what in recorded
    0:23:50 history you’re saying right now?
    0:23:51 Yeah.
    0:23:56 The 2021 volunteering rate is certainly lower than it ever has been in the last 50 years.
    0:24:02 Why do you think there’s been such a significant downward trend in volunteering?
    0:24:04 That is the $64,000 question.
    0:24:08 Some trends that we’ve seen when we started digging into this have been suggestive.
    0:24:14 One is that we saw declines that were greater in suburban areas and rural areas than they
    0:24:16 were in urban areas.
    0:24:20 Maybe what we saw there was the fact that people were moving out of those areas and
    0:24:24 taking their time and their talents and their energies with them.
    0:24:29 And when that happens, you also see an increasingly aging population in those areas.
    0:24:34 So when people have to drop out of civic life or the volunteer workforce specifically, there
    0:24:36 aren’t very many people to take their places.
    0:24:41 Social capital is the concept that connects all the activities that we call civic engagement.
    0:24:47 I think we’re seeing declines in social capital that are reflected in the declines in volunteering
    0:24:48 rates.
    0:24:52 One of the most important ways in which trust helps build social capital is to get people
    0:24:55 to realize that they can count on other people.
    0:25:00 Let’s say that time banking, time dollars, human dollars, whatever we want to call it,
    0:25:08 makesper at least a small uptick in volunteering and maybe a small uptick in social capital,
    0:25:10 social trust.
    0:25:13 How would you see that benefiting society overall?
    0:25:19 I think the key is to get people to recognize that in many cases, receiving actually is
    0:25:20 as good as giving.
    0:25:24 It’s a key principle that underlies the whole time banking concept.
    0:25:28 That’s the idea that runs most counter to most people’s intuition.
    0:25:32 The Bible tells you the opposite, it’s better to give than to receive.
    0:25:33 That’s really interesting.
    0:25:37 I feel like I’m having a little bit of a breakthrough here personally, like I’m in a therapy session,
    0:25:38 Nathan.
    0:25:39 I mean, I kind of feel the same way.
    0:25:42 Well, what it made me think of is this, I mean, this is getting a little personal.
    0:25:47 I hope you don’t mind, but my father died when I was about 10 or 11 and I lived in a
    0:25:52 rural area where there were quite a few people who really went out of their way to help me
    0:25:53 and my family.
    0:25:57 I was the youngest in a big bunch of kids and I was the last one at home.
    0:26:02 There were a couple men who would take me on fishing trips and whatnot.
    0:26:09 As much as I enjoyed the benefits per se, I hated being seen as and feeling like a charity
    0:26:10 case.
    0:26:11 I hated it.
    0:26:14 I’m not saying that was a good choice, a bad choice.
    0:26:19 It was just the way my emotions worked at the time, but I think as I outgrew that age,
    0:26:26 I compounded that response and it strikes me now speaking to you that there’s something
    0:26:32 very ungenerous about being unwilling to accept other people’s generosity.
    0:26:36 It’s what you said a moment ago that made me realize that there is something very powerful
    0:26:44 about not just giving plainly, but receiving and about the notion of participating in reciprocity.
    0:26:47 So anything more you have to say about that?
    0:26:52 Just that participating in reciprocity, that’s the norm that I think we ought to get people
    0:26:53 to buy into.
    0:26:57 It doesn’t have to be the case that receiving is just as good as giving.
    0:27:01 I think the time banking people would probably be happy to relax that statement a little
    0:27:06 bit, but receiving is perfectly okay and actually when you receive, you’re making it possible
    0:27:09 for someone else to obtain the benefits of giving.
    0:27:16 So it sounds like you might like to participate in our harebrained idea here.
    0:27:18 Is that the case or am I reading into your enthusiasm?
    0:27:24 I’d be happy to help because I think this is an important, interesting concept.
    0:27:27 And I think that nothing but good could come of an experiment.
    0:27:31 Would it be a better idea to have like a New York City time bank than a US time bank?
    0:27:36 Would it be an even better idea to have an Upper West side of Manhattan time bank versus
    0:27:38 a New York City time bank?
    0:27:39 Oh, I think so.
    0:27:41 I think that’s the way most institutions work best.
    0:27:47 You know, even the Federal Reserve has regional banks, anything that brings the institution
    0:27:51 closer to the members of the community is going to encourage participation.
    0:27:55 That’s, I think, probably the only way in which a time bank would work is if it were
    0:27:58 located in the community.
    0:28:04 Coming up after the break, if we can get this idea going, we’ll need someone to run it.
    0:28:07 Is that someone you?
    0:28:08 Keep listening for details.
    0:28:09 I’m Stephen Dubner.
    0:28:19 This is Freakonomics Radio, we’ll be right back.
    0:28:24 After talking to Nathan Deets and Krista Wyatt and Andrew Yang about time banking, I was
    0:28:30 getting encouraged, but then I read a new paper by researchers who followed a big experimental
    0:28:34 project that gave people a guaranteed income.
    0:28:38 This is similar to the universal basic income idea that Yang promoted a few years ago while
    0:28:39 running for president.
    0:28:42 He called it a freedom dividend.
    0:28:48 In this experiment, 1,000 low-income people were given $1,000 a month for three years,
    0:28:52 and the researchers wanted to see how the money changed their lives.
    0:28:57 They also set up a pool of 2,000 low-income people who got only $50 a month so that they
    0:29:00 would have a comparison group.
    0:29:02 And what the researchers find?
    0:29:10 The people getting $1,000 a free money a month worked a bit less, which you might expect.
    0:29:14 They spent more time sleeping and hanging out with friends.
    0:29:21 What they didn’t spend more time on was either building up their own human capital or volunteering
    0:29:23 to help out other people.
    0:29:30 I interpreted this as not such good news, so I went back to Al Roth, the market design
    0:29:36 expert, to see if he had any ideas to make time banking a more attractive prospect, even
    0:29:38 though he’s not a big fan of the idea.
    0:29:41 I’d want some kind of reputational review system.
    0:29:43 You need some customary contracts.
    0:29:45 You need ways of keeping account, right?
    0:29:47 We do that with money all the time.
    0:29:50 You put money in the bank and they don’t let you take out more than you put in, whereas
    0:29:54 with time, the question is, who does the reporting?
    0:29:59 Let’s pretend for just a minute that time banking or time dollars are a going concern
    0:30:03 where you are and you were a member of this community.
    0:30:10 What would you offer as work that you could do and what kind of tasks or work would you
    0:30:13 look for for other people to do for you in exchange?
    0:30:19 Well, in fact, I’m a little bit of a member of that community because I’m a professor.
    0:30:23 One of the things I do is teach classes and those are on a clock.
    0:30:27 Another thing I do is I talk to students, typically graduate students, and a lot of scientific
    0:30:30 progress has its origin in just talk.
    0:30:34 You talk about problems, you hear how they’re thinking, you tell them how you’re thinking,
    0:30:37 and sometimes directions emerge.
    0:30:39 Are there any other physical tasks?
    0:30:41 Can you fix my car or put on a new roof?
    0:30:46 I cannot fix your car or put on a new roof, so I could, of course, trade for that.
    0:30:51 But I don’t know how long it takes and I don’t know how much skill and risk and things like
    0:30:52 that are involved.
    0:30:54 All of which are things that should get priced into it.
    0:31:00 So one of the advantages of having competitive roof fixers is you can get a couple of quotes
    0:31:02 and find out what it costs to fix your roof.
    0:31:08 But I could imagine a scenario where let’s say there’s a person running a roofing business.
    0:31:13 Maybe they’re second or third generation, even, and they’ve decided that the way forward
    0:31:15 is to do solar installations.
    0:31:16 You’re in California.
    0:31:18 I’m sure there’s a big market for that there.
    0:31:22 But they don’t really know how to set up their business to optimize for that.
    0:31:26 They don’t know what kinds of partnerships and maybe there’s some tax strategy and just
    0:31:28 setting up the business that they’re not clear on.
    0:31:33 But boy, Professor Roth, he loves to talk to people about problems like that and he
    0:31:34 also needs a new roof.
    0:31:41 So that sounds like a really nice possible exchange that could happen in the time bank.
    0:31:43 Would you be open to discussing that?
    0:31:45 I’d be open to discussing it.
    0:31:47 He said reluctantly.
    0:31:51 I say reluctantly because I certainly wouldn’t want that to be the only way I could get my
    0:31:52 roof repaired.
    0:31:53 Okay.
    0:31:58 So it sounds like you’re not particularly enthusiastic about or interested, certainly
    0:32:04 in joining our project to try to make time banking a successor to pilot it.
    0:32:11 But assuming that you like me enough to not want to see this project fail from step one,
    0:32:14 is there any piece of advice in particular you might have?
    0:32:18 Let’s say that we’re going to try to do this with some kind of perhaps government cooperation,
    0:32:25 some kind of nonprofit cooperation, try to find, let’s say a CEO who could really organize
    0:32:26 this.
    0:32:29 I think the simplest kind of time banking is for people who are actually prepared to
    0:32:33 be in relationships with each other and are going to repeatedly trade time with each other
    0:32:35 and they can evaluate the quality.
    0:32:39 Babysitting cooperatives, for instance, are a good example because you also get some feedback
    0:32:41 from the kids if they’re old enough.
    0:32:47 But as soon as I’m earning time by babysitting for your kids and now I’m spending it on roofers,
    0:32:52 I want to know is this a roofer who gives good value for the amount of time I’m putting
    0:32:53 into the bank?
    0:32:57 Given that I don’t have a relationship with him, what happens if the roof takes more time
    0:32:59 than any of us anticipated?
    0:33:03 Who pays for the extra time that he actually spent doing a good job fixing my roof?
    0:33:08 There has to be some situation where he doesn’t stop with the hole in the roof and now it’s
    0:33:09 worse than when he started.
    0:33:13 He finishes the good job, he gets a review of doing a good job, but someone has to pay
    0:33:14 him back the time.
    0:33:18 The banking part of time banking is going to be important when there aren’t personal
    0:33:19 relationships.
    0:33:23 So you need reviews and you need a way for him to say, “It took me 12 hours.”
    0:33:24 Who would have thought?
    0:33:30 But there was a dragon implanted in the roof and I had to fight the dragon.
    0:33:34 The things that you put up with in California, dragons and roofs, I don’t know how you deal
    0:33:35 with it.
    0:33:40 We deal with it by paying the roofer.
    0:33:44 So first let me preface this by saying I’m convinced that AI is going to change a lot
    0:33:48 of things in our economy and it’s going to make it harder and harder for a lot of people
    0:33:50 to compete.
    0:33:51 That’s Andrew Yang again.
    0:33:56 It’s getting stronger, faster, smarter, more powerful and we are not.
    0:34:01 So if you play out the way this is going, we already live in maybe the most extreme winter
    0:34:03 take all economy in the history of the world.
    0:34:09 It’s going to become more extreme with the advent of AI and associated technologies.
    0:34:15 And so the goal would be to build an economic system that rewards people pursuing activities
    0:34:20 that right now would not get properly rewarded in our current monetary economy.
    0:34:25 And what share of, if it could be measured, what share of let’s say GDP, would you like
    0:34:30 this entire separate version of the economy to comprise?
    0:34:34 I would think of it as a parallel instead of a percentage of GDP, but our current economy
    0:34:37 is around $24 trillion.
    0:34:43 And if you think about how much we could benefit in education and nurturing and health and
    0:34:49 wellness, we’re spending maybe 17 or 18% of that $24 trillion on our healthcare right
    0:34:50 now.
    0:34:52 So let’s call that $4 trillion.
    0:34:57 And we all know that we could generate immense value if we all took better care of ourselves
    0:34:59 and had preventative care and everything else.
    0:35:04 So just in the healthcare space, you can see trillions of dollars, environment, trillions
    0:35:09 of dollars, education, trillions of dollars, arts and creativity, I would argue you could
    0:35:11 also get up to that level.
    0:35:17 So you can imagine something that gets up into the tens of trillions of dollars that
    0:35:21 mirrors the size of what we consider right now, the economy.
    0:35:28 If we want good things for ourselves, our families, our communities, we have to actually
    0:35:32 build the mechanisms for those good things.
    0:35:35 And if we don’t, then we kind of know which way things are going to head.
    0:35:42 So are you willing and committed to join me/us Freakonomics Radio to try to actually make
    0:35:43 this work?
    0:35:44 Oh, yeah.
    0:35:46 The great collab is beginning.
    0:35:49 We’re going to freaking do it.
    0:35:51 You can count me in 100%.
    0:35:56 Let’s actually build this in real life so that people can experience it, point to it
    0:35:58 and say people are good.
    0:35:59 We want this in more places.
    0:36:03 What would success look like to you in five years, let’s say?
    0:36:11 Success would be thousands of people living better lives and a model that other people
    0:36:13 say that’s totally replicable.
    0:36:16 We can do that where we live and work.
    0:36:20 So Andrew, if we want to get this thing going, we need someone to run it.
    0:36:24 You’d probably be good at it, but you’re busy with 18 million other things.
    0:36:29 I’m pretty busy too, but even if I weren’t, I’d be terrible at running something like
    0:36:30 this.
    0:36:37 So I think what we really need is a CEO, someone who hears this episode and is as enthusiastic
    0:36:43 about the idea as we are and actually has the ability and the courage to get it done.
    0:36:48 So what kind of background or characteristics would you suggest that the ideal candidate
    0:36:49 has?
    0:36:55 I’d say that person is comfortable going into a room of people in a community in Queens
    0:36:59 or Staten Island or Brooklyn and saying to them, “Hey, this is what we’re doing and this
    0:37:02 is why you should sign up and this is why it’s awesome,” and then feel equally comfortable
    0:37:08 going into a room of marketing executives or foundation grant writers and say, “This
    0:37:12 is what we’re doing and this is why you need to get on board as quickly as possible.”
    0:37:16 So the profile that comes to mind for me is someone who has run a nonprofit, someone who
    0:37:20 has had some kind of role in public service would also make sense and entrepreneur would
    0:37:21 make sense.
    0:37:24 Those three profiles appeal to me.
    0:37:28 Does that sound like you or someone you know?
    0:37:34 Andrew Yang has built a bipartisan political operation called Humanity Forward and the
    0:37:39 Yang Gang still has a lot of assets that would be useful for time banking.
    0:37:43 But still, this would be a big operation and we’ll need some help.
    0:37:46 Let’s start with someone to run it.
    0:37:51 If you’d like to nominate yourself or someone else or if you have any other ideas that might
    0:37:55 help make this work, please write to us.
    0:38:05 Here is an email address time@humanityforwardfoundation.org that’s time@humanityforwardfoundation.org.
    0:38:08 We will keep you updated on how this project goes.
    0:38:14 For now, big thanks to Andrew Yang, Krista Wyatt, Nathan Deets, and even Al Roth the
    0:38:19 Skeptic for speaking with us today and thanks especially to you for listening.
    0:38:21 Coming up next time on the show.
    0:38:27 There is a freedom in being in a religious institution where I don’t have to be afraid
    0:38:29 to talk about values in my out loud voice.
    0:38:36 Tanya Tetlow used to be a federal prosecutor, which toughened her up for her current job,
    0:38:37 college president.
    0:38:41 What we navigate with them is, you know, you don’t point bullhorns at the library during
    0:38:42 study session.
    0:38:45 Tanya Tetlow is president of Fordham University in New York.
    0:38:50 She’s the first female president there, as well as the first president who is not a Catholic
    0:38:51 priest.
    0:38:55 The Jesuits here laugh that you say all the same stuff, Tanya, but people listen to you.
    0:39:00 Another conversation in our ongoing look at what college is really for.
    0:39:03 That’s next time on the show.
    0:39:04 Until then, take care of yourself.
    0:39:07 And if you can, someone else too.
    0:39:11 Pre-economics radio is produced by Stitcher and Renbud Radio.
    0:39:17 You can find our entire archive on any podcast app, also at Freakonomics.com, where we publish
    0:39:19 transcripts and show notes.
    0:39:22 This episode was produced by Zach Lipinski.
    0:39:27 Our staff also includes Alina Cullman, Augusta Chapman, Dalvin Abouaji, Eleanor Osborn,
    0:39:32 Elsa Hernandez, Gabriel Roth, Greg Rippin, Jasmine Klinger, Jeremy Johnston, John Schnarrs,
    0:39:38 Julie Canfer, Lyric Bowditch, Morgan Levy, Neil Coruth, Rebecca Lee Douglas, Sarah Lilly,
    0:39:39 and Theo Jacobs.
    0:39:42 Our theme song is “Mr. Fortune” by the Hitchhikers.
    0:39:46 Our composer is Luis Guerra.
    0:39:48 It’s always fun to talk to you, Al.
    0:39:50 You too, and you know, spend your time well.
    0:39:51 Cheers.
    0:40:03 The Freakonomics Radio Network, the hidden side of everything.
    0:40:04 Stitcher.
    0:40:07 [MUSIC PLAYING]

    It’s not oil or water or plutonium — it’s human hours. We’ve got an idea for putting them to use, and for building a more human-centered economy. But we need your help.

     

     

     

  • EXTRA: Why Rent Control Doesn’t Work (Update)

    AI transcript
    0:00:02 (upbeat music)
    0:00:05 – Hey there, it’s Stephen Dubner.
    0:00:07 And yes, we are busting into your
    0:00:10 Freakonomics Radio feed with a bonus episode.
    0:00:12 In 2019, we put out an episode
    0:00:15 about a problem and a possible solution.
    0:00:18 The problem was rising rents,
    0:00:20 particularly in coastal cities.
    0:00:23 The proposed solution was rent control,
    0:00:27 laws that put a limit on what landlords can charge.
    0:00:28 You can see why that might seem
    0:00:30 to be a sensible solution,
    0:00:33 but nearly all economists agree,
    0:00:35 based on volumes of research,
    0:00:37 that rent control does more harm than good.
    0:00:39 Since we made that episode,
    0:00:41 the problem has gotten worse.
    0:00:42 According to a report from
    0:00:45 Harvard’s Joint Center for Housing Studies,
    0:00:48 rents have risen 26% nationally
    0:00:50 and even more in cities like New York,
    0:00:54 which has become the poster child for the rent crisis.
    0:00:56 And so once again,
    0:00:59 policymakers have returned to the idea of rent control.
    0:01:00 Just this month,
    0:01:03 the Biden administration pushed Congress
    0:01:05 to pass legislation that would force landlords
    0:01:07 with more than 50 units
    0:01:10 to cap annual rent increases at 5%
    0:01:13 or risk losing federal tax breaks.
    0:01:16 So we thought it was a good time to revisit
    0:01:19 that 2019 episode about rent control
    0:01:21 and why it does not work.
    0:01:24 We have updated facts and figures where necessary.
    0:01:26 As always, thanks for listening.
    0:01:34 I’m sure you know this already,
    0:01:36 but let me say it anyway.
    0:01:39 Cities have become really popular all over the world.
    0:01:43 An ever larger share of the U.S. and global population
    0:01:44 lives in cities
    0:01:47 and that large share is expected to get even larger.
    0:01:50 As demand for city living grows,
    0:01:53 the supply of housing often can’t keep up,
    0:01:56 which results in, and you know this too,
    0:01:58 a rise in prices.
    0:02:01 In the U.S., median rent has doubled since the 1990s,
    0:02:04 outpacing inflation by quite a bit.
    0:02:06 In many cities, this makes it hard for people
    0:02:08 who already live there to stay
    0:02:11 and hard for people who’d like to move there.
    0:02:12 I’m sure you’ve heard the horror stories
    0:02:16 about rents in cities like London and Hong Kong,
    0:02:19 Seattle and San Francisco.
    0:02:21 The problem is so bad in New York City
    0:02:24 that it inspired a new political party.
    0:02:27 I represent the rent. It’s too damn high-party.
    0:02:29 People are working eight hours a day and 40 hours a week
    0:02:31 in summer third job.
    0:02:32 New York, like many cities,
    0:02:34 has over time put in place
    0:02:37 various affordable housing policies.
    0:02:40 One time-honored tradition is some form of rent control.
    0:02:42 That might mean setting a price cap
    0:02:43 on what a landlord can charge
    0:02:46 or limiting the amount the rent can be raised.
    0:02:49 Here’s the Stanford economist Rebecca Diamond.
    0:02:51 From an economics point of view,
    0:02:53 it provides insurance
    0:02:56 against getting priced out of your neighborhood.
    0:02:59 And rent control seems to be having a moment.
    0:03:01 It already exists in a number of places.
    0:03:05 The most expensive cities in the U.S.,
    0:03:07 they almost all have rent control.
    0:03:09 And the appetite is spreading.
    0:03:13 You see rent control popping up politically
    0:03:16 when housing prices and rents are going up.
    0:03:19 Today on Freakinomics Radio,
    0:03:22 how well does rent control work?
    0:03:25 As with many complicated issues
    0:03:28 that have multiple actors and crossed incentives,
    0:03:31 the answer depends on whom you ask.
    0:03:34 Well, I’m in favor of residential rent control
    0:03:35 and rent regulations.
    0:03:37 If you were starting from scratch
    0:03:38 and you were designing
    0:03:42 the most efficient rent regulation system,
    0:03:44 what would that look like?
    0:03:46 The sort of bombing I know of no way to destroy a city
    0:03:48 that was more effective than rent control.
    0:04:07 This is Freakinomics Radio,
    0:04:11 the podcast that explores the hidden side of everything,
    0:04:13 with your host, Stephen Dubner.
    0:04:23 Oh, oh, oh, oh, oh, oh, oh, oh, oh, oh, oh, oh, oh, oh.
    0:04:27 Most economists say that rent control is a bad idea,
    0:04:29 as is just about any form of price control.
    0:04:31 They believe that markets work best
    0:04:33 when supply and demand are allowed
    0:04:35 to find a natural equilibrium
    0:04:39 with price acting as the referee.
    0:04:40 Here’s one such economist.
    0:04:42 My name is Ed Glazer,
    0:04:44 and I am the Fred and Eleanor Glimp
    0:04:46 Professor of Economics at Harvard,
    0:04:48 where I teach both microeconomic theory
    0:04:49 and the economics of cities.
    0:04:52 Ed, you have one minute to convince someone
    0:04:55 that rent control is a terrible idea. Go.
    0:05:02 All right, so they’ve already squandered five of my seconds.
    0:05:03 It’s not particularly fair.
    0:05:07 It’s not a good way of allocating scarce space.
    0:05:09 It’s not a good way of helping the downtrodden.
    0:05:13 It’s a way that freezes a city
    0:05:15 and stops it from adjusting to changes.
    0:05:17 It’s a way that freezes people in apartments
    0:05:20 and stops the motion that is inherent in cities.
    0:05:24 So that’s a baseline economic take, at least.
    0:05:26 Let’s try to unravel this issue,
    0:05:28 starting with a brief history of rent control.
    0:05:32 Rent controls really became ubiquitous in World War II.
    0:05:36 And the idea here was the nation was laying down its life
    0:05:39 to try and bring freedom to the world.
    0:05:42 And it seemed wrong that some people
    0:05:45 who were well-placed should earn some form of extra bonuses
    0:05:47 by being able to raise up rents
    0:05:50 on people maybe whose sons and daughters
    0:05:53 were off fighting for the U.S. elsewhere.
    0:05:55 And rent control was seen as being a way
    0:05:56 of somehow trying to keep America
    0:05:59 being a bit fairer during World War II.
    0:06:02 Now, lots of places introduced rent control during this period.
    0:06:04 After the war, most of them got rid of it
    0:06:07 because that cause seemed to be a little bit less pressing.
    0:06:10 But some cities kept it, and New York, of course,
    0:06:12 is the most famous place that still has it.
    0:06:15 Glazer himself grew up in New York.
    0:06:17 And, you know, I lived in a rent-stabilized unit
    0:06:19 for the first 10 years of my life.
    0:06:23 I mean, something like 72, 74% of New York City’s
    0:06:25 households were renters in those days.
    0:06:27 And indeed, you know, the mid-1970s
    0:06:29 was an era in which New York’s housing didn’t,
    0:06:31 you know, didn’t seem that expensive.
    0:06:33 And so affordability just wasn’t the same issue
    0:06:34 that it was today.
    0:06:37 Now, flash forward 30 years.
    0:06:38 The cities have been enormously successful.
    0:06:41 They haven’t built enough to accommodate the new demand.
    0:06:43 They risk becoming boutique towns
    0:06:45 affordable only to the wealthy.
    0:06:47 And people are desperate to see that those cities
    0:06:49 don’t, you know, push out every poor resident,
    0:06:51 that they don’t become monocultures
    0:06:53 built around the privileged and the rich.
    0:06:57 And rent control appears to be at least one avenue
    0:06:58 for doing it.
    0:06:59 But it’s a very blunt instrument.
    0:07:02 Just how blunt?
    0:07:05 There are decades worth of economic research
    0:07:08 describing the downsides of rent control.
    0:07:10 The first major paper was written in 1946
    0:07:13 by Milton Friedman and George Stigler.
    0:07:13 Here’s Friedman.
    0:07:17 Rent control is a law that supposedly has passed
    0:07:20 to help the people who are in housing.
    0:07:23 And it does help those who are in current housing.
    0:07:26 But the effect of rent control is to create scarcity
    0:07:31 and to make it difficult for other people to get housing.
    0:07:32 Where did the scarcity come from?
    0:07:35 For one, developers had less incentive
    0:07:37 to build new housing if there was a ceiling
    0:07:39 placed on what they could charge.
    0:07:41 Friedman also argued that rent control
    0:07:45 created a haphazard and arbitrary allocation of space.
    0:07:50 This was echoed in a 1972 paper by Edgar Olson,
    0:07:53 which found that rent control led to what economists
    0:07:56 call an overconsumption of housing.
    0:08:01 Let’s say you rented an apartment in New York in 1955.
    0:08:02 You had three small kids.
    0:08:03 You rented a three-bedroom.
    0:08:06 It was perfectly matched for the needs of you
    0:08:08 with your kids growing up.
    0:08:11 They moved out of the house in the early ’70s.
    0:08:14 By the late ’80s, maybe your husband or wife actually died
    0:08:16 and you’re living on your own in a three-bedroom apartment
    0:08:17 in New York.
    0:08:19 But my goodness, would you ever move out?
    0:08:22 Your rent is a fraction of what the market rent is.
    0:08:24 One of my favorite stories about this,
    0:08:25 and this is quoted by Ken Oledas,
    0:08:27 the streets were paved with gold.
    0:08:29 He cites Nat Sherman,
    0:08:30 the famous tobacconist to the world
    0:08:32 by this big shop on Fifth Avenue,
    0:08:35 who said that he pays, I forget what it was.
    0:08:41 $355 a month for a six-room apartment, it says here.
    0:08:42 Isn’t that amazing?
    0:08:43 Keep in mind, it’s a few decades ago,
    0:08:45 but it’s an unbelievable deal.
    0:08:47 Now, what’s outrageous about this
    0:08:49 is he then says, “I think it’s fair
    0:08:51 because I use it so rarely,”
    0:08:54 which means that he’s not getting very much value out of it.
    0:08:56 But the crazy thing about this is there were lots of New Yorkers
    0:08:57 who would love to have that apartment
    0:08:59 and who would get a lot more value out of it.
    0:09:03 In 1997, Ed Glazer did his own analysis
    0:09:04 of rent control in New York City,
    0:09:08 trying to determine just how economically inefficient it was.
    0:09:12 He and his co-author, Erzo Lutmer, found that, quote,
    0:09:16 “This misallocation of bedrooms leads to a loss in welfare,
    0:09:19 which could be well over $500 million annually
    0:09:21 to the consumers of New York,
    0:09:24 before we even consider the social losses
    0:09:26 due to under supply of housing.”
    0:09:30 Glazer’s work has also inspired a new generation of economists
    0:09:33 to further the literature on rent control.
    0:09:36 Historically, people relied much more in theory
    0:09:38 in making their arguments about rent control.
    0:09:41 That’s Rebecca Diamond again.
    0:09:43 She’s a former student of Ed Glazer’s.
    0:09:46 Because even without a lot of data,
    0:09:49 you can make some pretty simple theoretical predictions
    0:09:53 about what rent control might do to a housing market.
    0:09:56 But there are some things that fury alone cannot tell you.
    0:10:02 One of the biggest open questions in the literature of rent control
    0:10:06 is what happens to those tenants that get rent control?
    0:10:08 Really, how much are the renters benefiting?
    0:10:11 Because they’re the potential big winners of rent control.
    0:10:15 And to measure that, you really need to have data
    0:10:21 on where everybody lives, who gets access to rent control,
    0:10:24 and whether they decide to stay in that rent control department
    0:10:26 or go somewhere else.
    0:10:30 And traditional data sources that economists work with
    0:10:36 very rarely track migration of an individual.
    0:10:42 So you recently co-authored with Tim McQuade and Franklin Qian
    0:10:45 a paper called The Effects of Rent Control Expansion
    0:10:49 on Tenants, Landlords, and Inequality Evidence from San Francisco.
    0:10:51 First, if you would talk about the data.
    0:10:54 So yeah, we have some really cool data.
    0:10:58 So traditional data sets, you can get things on the distribution
    0:11:00 of earnings and income, things like that,
    0:11:02 but you won’t also see their migration.
    0:11:07 So we have this, you could call administrative data,
    0:11:09 which tracks people’s address histories.
    0:11:11 And where did these migratory data come from?
    0:11:14 We bought them from a company called InfoTour.
    0:11:19 They are a company that works in identity management.
    0:11:23 So they have this history of addresses for everyone,
    0:11:26 which they collect from a number of different sources
    0:11:27 and stitch them together,
    0:11:30 which is very useful for the private sector
    0:11:33 and firms that need to keep track of up-to-date addresses.
    0:11:36 But from a research perspective, it’s super exciting data
    0:11:40 because it’s so big and so detailed.
    0:11:47 Armed with this super exciting data on individual tenants,
    0:11:50 Diamond and her fellow researchers set out to measure
    0:11:54 some of the long-term effects of rent control in San Francisco.
    0:11:58 They made particular use of a change in the city’s rent laws.
    0:11:59 San Francisco had rent control,
    0:12:03 but it didn’t apply to many of the city’s smaller apartment buildings.
    0:12:06 And the exemption was basically thought of as, well,
    0:12:08 these are mom and pop landlords.
    0:12:10 They don’t have market power.
    0:12:15 They’re not corporations, so we don’t need to regulate their rents.
    0:12:20 And then newspapers reported that those smaller multi-family buildings
    0:12:24 were increasingly purchased by corporate entities
    0:12:26 because that’s really where you could make your money
    0:12:27 in the housing market.
    0:12:31 And that led to a vote in 1994
    0:12:33 where everyone in the city got to vote
    0:12:38 about whether we could remove this small multi-family exemption.
    0:12:40 And that would then expand rent control
    0:12:42 not just to the large multi-family housing stock,
    0:12:44 but also the small multi-family housing stock.
    0:12:47 And that indeed passed.
    0:12:50 So you’ve got this awesome new law,
    0:12:53 awesome for you guys at least as researchers,
    0:12:55 that lets you mark before and after.
    0:12:59 It’s a perfect little natural experiment with a control group.
    0:13:03 And then you’ve got these wonderful data sets.
    0:13:07 And then you mash up all of these data together and analyze it.
    0:13:10 And you find the following.
    0:13:14 Your paper concludes that among many things,
    0:13:18 quote, rent control limits renters mobility by 20%
    0:13:21 and lowers displacement from San Francisco,
    0:13:23 especially for minorities.
    0:13:25 So let’s start with this.
    0:13:27 What does it mean exactly that renters mobility
    0:13:30 is lowered by 20% and why is that important?
    0:13:35 So we look at whether the renters who get access to rent control
    0:13:39 choose to remain in their newly rent control department.
    0:13:43 So we find that they’re 20% more likely to remain there
    0:13:46 relative to our control group renters
    0:13:48 who don’t get access to rent control.
    0:13:50 So that seems totally unsurprising, yes?
    0:13:54 Yes. I more see that result is a validation
    0:13:56 that our data is good and high quality
    0:13:58 and we have something to work with here.
    0:14:02 Okay. Further, you write that rent control
    0:14:05 lowers displacement from San Francisco.
    0:14:06 What does that mean exactly?
    0:14:10 So we can look at not just whether you remain
    0:14:12 in the actual apartment you lived in
    0:14:14 when you got access to rent control,
    0:14:18 but whether you remain in San Francisco as a whole.
    0:14:21 We find rent control has a dramatic impact
    0:14:25 on whether you actually live in San Francisco or not.
    0:14:29 So it prevents those renters from leaving the city as a whole,
    0:14:32 which I think from a policy perspective
    0:14:34 of rent control advocates,
    0:14:37 that’s one of the goals they talk about
    0:14:39 as preventing displacement from the city.
    0:14:41 And then you write that especially
    0:14:44 from minorities that displacement is lowered.
    0:14:47 Right. So when you look at that first cohort
    0:14:49 of renters that already lived in the city
    0:14:50 at the time of rent control,
    0:14:55 it is definitely helping minorities more.
    0:14:58 It’s preventing displacement of them especially.
    0:15:01 Furthermore, you write that landlords
    0:15:03 who are susceptible to rent control
    0:15:07 “reduce rental housing supplies by 15%
    0:15:09 either by converting to condos,
    0:15:12 selling to owner occupants, or redeveloping buildings.”
    0:15:17 So now it starts to get a little more complicated.
    0:15:20 Can you talk about who’s now starting to win here
    0:15:21 and who’s starting to lose here?
    0:15:25 So obviously when the landlord is first notified
    0:15:28 about rent control, he or she can quickly deduce
    0:15:31 that his or her rental stream is going to be
    0:15:34 lower than previously expected.
    0:15:39 And just like any other business owner,
    0:15:43 they might think about changing their business strategy.
    0:15:46 So if renting out their apartments
    0:15:47 is no longer very profitable,
    0:15:50 now they may decide, oh, maybe it’s worthwhile
    0:15:54 to convert to condos and sell off the apartments
    0:15:55 to owner occupants.
    0:15:57 And that would be a way to recover
    0:15:58 some of this loss income.
    0:16:01 Or another thing they could do is say
    0:16:03 knock down their old building
    0:16:04 and build some new construction
    0:16:06 and either sell those as condos
    0:16:08 or rent them out as apartments.
    0:16:11 Both of those options would avoid them
    0:16:13 having to pay this tax of rent control,
    0:16:16 help recruit some of their losses,
    0:16:18 which is good for the landlords,
    0:16:21 but is going to undermine the goals of rent control
    0:16:23 because now we’re going to have less rental housing
    0:16:26 out there available for rent control.
    0:16:32 So you can start to see how rent control
    0:16:35 may be accomplishing a narrow short-term goal,
    0:16:37 making existing housing more affordable
    0:16:39 for a select group of people
    0:16:41 at the expense of the long-term goal
    0:16:43 of making a city more affordable generally.
    0:16:45 When you pass rent control,
    0:16:49 the landlords of the property suddenly getting covered
    0:16:50 by rent control are losing so much money.
    0:16:54 They no longer really want to rent their apartments
    0:16:57 out at the prevailing new prices,
    0:17:01 so they decrease their supply of rental housing
    0:17:03 to the market and if there’s less supply,
    0:17:05 that’s going to drive up prices.
    0:17:08 Okay, so let me just make sure I have it pretty straight.
    0:17:09 You find evidence that rent control
    0:17:12 increases gentrification,
    0:17:14 one component of which is the displacement
    0:17:16 of low-income tenants.
    0:17:18 On the other hand, you also find evidence
    0:17:20 that low-income people, including minorities,
    0:17:24 at least those who are in rent control units already,
    0:17:27 they’re likely to disproportionately benefit
    0:17:28 from rent control.
    0:17:30 So if I’m an affordable housing advocate,
    0:17:33 I might say, oh, fine, fancy Stanford professor
    0:17:35 who I’m sure has some kind of great
    0:17:39 income and/or housing subsidy and/or situation.
    0:17:44 I don’t care that some landlords are suffering.
    0:17:48 I don’t care that the policy is having
    0:17:51 some downstream effects that you don’t like.
    0:17:53 I need to make sure that low-income people
    0:17:57 aren’t going to get a rent increase of 50% overnight.
    0:18:00 So how do you respond to that argument?
    0:18:04 So when you think about those initial tenants,
    0:18:06 that’s the best bet you’re going to get
    0:18:08 for the benefits of rent control to low-income tenants,
    0:18:10 the people that are already in the housing.
    0:18:14 But even though we find that those tenants
    0:18:16 are much more likely to stay in their apartment,
    0:18:19 when we look 10, 15 years later,
    0:18:23 the share of those 1994 residents that are still there
    0:18:26 is down to, you know, 10% or so.
    0:18:31 So 90% of them no longer live in that initial apartment.
    0:18:34 And it’s that next low-income tenant
    0:18:36 that wants to live in the city.
    0:18:39 That low-income tenant is going to have a very hard time
    0:18:40 finding an affordable option
    0:18:42 because now there’s going to be less rental housing.
    0:18:44 The prices that that low-income tenant
    0:18:46 are going to face when they want to initially move in
    0:18:48 are going to be higher
    0:18:50 than they would have been absent rent control.
    0:18:59 I’m curious how generalizable you think your findings
    0:19:02 from San Francisco are for other cities.
    0:19:08 I would suspect that the actual quantitative loss
    0:19:10 of rental supply or benefits to the tenant
    0:19:12 will depend a little bit city to city.
    0:19:15 But I think the qualitative takeaway
    0:19:18 that landlords are savvy
    0:19:20 and are going to work hard to not lose money
    0:19:22 on their investments,
    0:19:23 I think is a very general point.
    0:19:29 For economists who already felt confident
    0:19:31 in the theoretical arguments against rent control,
    0:19:34 research like diamonds provides empirical evidence
    0:19:36 that essentially tells the same story.
    0:19:39 Yes, there are some winners in rent control,
    0:19:42 but the losing is more widespread and longer term.
    0:19:46 But how about empirical evidence from a reverse angle?
    0:19:51 That is not when a city adds or expands rent control
    0:19:53 like San Francisco did, but when it gets rid of it.
    0:19:57 So there’s other work by David Otter and co-authors
    0:19:59 that looks at the removal of rent control
    0:20:02 in Cambridge, Massachusetts in 1994.
    0:20:05 By the early 1990s, Cambridge was one of the few
    0:20:08 remaining rent control strongholds in Massachusetts.
    0:20:11 Landlords have been trying to get rid of it for years,
    0:20:14 but there are a lot fewer landlords than there are tenants.
    0:20:18 So any attempt to change the local law was voted down.
    0:20:23 Finally, the rent control opponents had a winning idea.
    0:20:26 Put the issue up on a statewide referendum
    0:20:27 where there might be less empathy
    0:20:30 for all those city dwellers with below market rents.
    0:20:32 When the referendum was held,
    0:20:37 nearly 60% of the voters in Cambridge were opposed,
    0:20:38 but statewide it passed.
    0:20:42 And so Cambridge began to deregulate its rents.
    0:20:45 Years later, a trio of MIT economists
    0:20:48 examined the effects of removing rent control.
    0:20:51 Okay, so the classic paper on this has been written
    0:20:53 by David Otter, Parik Pathak, and Chris Palmer.
    0:20:55 Ed Glazer again.
    0:20:59 It showed that when units were brought out of rent control,
    0:21:00 their owners invested in them.
    0:21:03 So they upped the quality of the units.
    0:21:06 There was more of a supply of higher-end housing.
    0:21:11 They find that the rent control departments experience
    0:21:12 a lot of renovation.
    0:21:14 The landlords renovate a lot,
    0:21:17 and that drives up the desirability
    0:21:18 of living in those apartments.
    0:21:21 Also, they find that that creates spillovers
    0:21:24 onto the nearby apartment buildings
    0:21:26 that they themselves weren’t rent controlled.
    0:21:28 So neighboring apartments became more valued
    0:21:31 as a result of the end of rent control.
    0:21:33 And the most recent paper has shown that crime has gone down,
    0:21:35 particularly street crime has gone down.
    0:21:39 Right after the elimination of rent control in Cambridge.
    0:21:40 So it looked like rent control had
    0:21:43 negative externalities on the neighborhood.
    0:21:51 So what does economic research tell us about rent control?
    0:21:54 There are at least two conclusions,
    0:21:55 which if I’m reading it right,
    0:21:57 sort of work against each other.
    0:21:59 The first conclusion is that rent control
    0:22:01 doesn’t help many people for very long,
    0:22:04 in part because it constrains the supply
    0:22:06 of affordable housing.
    0:22:09 The second conclusion is that just getting rid
    0:22:11 of rent control does not in and of itself
    0:22:13 lead to more affordable housing.
    0:22:16 In fact, a deregulated housing market
    0:22:18 can easily lead to less affordable housing.
    0:22:21 The Boston Cambridge area is one of many places
    0:22:23 experiencing a steep shortage
    0:22:24 in not just affordable housing,
    0:22:25 but housing overall.
    0:22:28 So even if you accept that rent control
    0:22:31 is a big contributor to the affordable housing problem,
    0:22:35 getting rid of it isn’t necessarily a solution.
    0:22:38 You can see why politicians and policymakers
    0:22:39 are confused.
    0:22:42 In some states, rent control legislation has failed.
    0:22:45 Advocates in Massachusetts, for instance,
    0:22:48 have dropped their push for statewide rent control.
    0:22:50 But other states are doubling down.
    0:22:54 California now caps rent increases at 5% plus inflation
    0:22:56 with a maximum increase of 10%.
    0:22:59 And this November, California voters
    0:23:01 will decide on Proposition 33,
    0:23:03 which would give local jurisdictions
    0:23:05 more power to control rents.
    0:23:08 Rebecca Diamond has an experience
    0:23:09 with seeing her research used
    0:23:12 in these rent control debates.
    0:23:16 It was interesting to see how our results were
    0:23:19 used by policymakers and the media
    0:23:22 on both sides of the fight,
    0:23:23 because indeed some of our results
    0:23:25 are like rent control are good,
    0:23:26 other ones make them look bad.
    0:23:28 You got to read the whole paper
    0:23:30 and take it all into account to make a decision,
    0:23:32 but it was a very policy relevant paper
    0:23:34 for that discussion.
    0:23:36 I’m curious what you can tell us
    0:23:39 about the political dimensions of rent control.
    0:23:41 I may be wrong, but I believe that rent control
    0:23:43 is generally supported by Democrats
    0:23:45 and generally opposed by Republicans.
    0:23:47 I think it’s a simplification to say
    0:23:48 all Democrats support rent control.
    0:23:52 But I think in the short run,
    0:23:55 you can see the benefits of rent control,
    0:23:57 like the tenants right away benefit.
    0:23:59 What’s much harder to see
    0:24:02 are these indirect effects that take a long time
    0:24:05 and it’s harder to put your finger on that.
    0:24:10 The losses are spread everywhere a little bit
    0:24:13 and harder to see walking down the street
    0:24:15 or talking to your constituents.
    0:24:18 There certainly are some poor people
    0:24:21 who can benefit and it’s a very tangible benefit, right?
    0:24:23 It’s not some complicated thing
    0:24:24 which requires you to trust in the market.
    0:24:26 It’s just sort of very clear.
    0:24:28 And if you think that people on the left,
    0:24:31 many of them just don’t trust markets to begin with,
    0:24:32 then saying there’s going to be
    0:24:34 some negative market effect to them,
    0:24:35 that sounds like capitalist hocus pocus.
    0:24:37 Whereas what they can see right now
    0:24:39 is that Mrs. Ray’s rents won’t go up
    0:24:40 because of their regulation.
    0:24:48 Economists tend to believe their models
    0:24:52 and say, you know, end of story and believe me, right?
    0:24:57 That is Vicky Bean.
    0:25:01 But communities don’t necessarily have to believe economists
    0:25:03 and so economists need to do a better job
    0:25:07 of responding to the very real fears that communities have.
    0:25:09 Bean used to be commissioner
    0:25:10 of the New York City Department
    0:25:13 of Housing Preservation and Development.
    0:25:15 Now she’s a law professor at New York University
    0:25:17 and she directs the Furman Center
    0:25:19 for Real Estate and Urban Policy.
    0:25:22 The Furman Center has embarked on a project
    0:25:25 that we call Not Your Grandmother’s Rent Control
    0:25:28 to try to figure out if you were starting from scratch
    0:25:33 and you were designing the most efficient rent regulation system,
    0:25:34 what would that look like?
    0:25:41 Coming up after the break, what would that look like?
    0:25:44 You really need to have a holistic look.
    0:25:47 And what about rent regulation for commercial properties,
    0:25:50 like all those empty storefronts in New York?
    0:25:52 First and foremost, I’m an angry New Yorker.
    0:25:54 [Music]
    0:26:12 As we’ve been hearing, economists are generally opposed
    0:26:13 to rent control.
    0:26:16 It rewards some people, but fairly arbitrarily.
    0:26:18 It punishes many others
    0:26:19 and generally doesn’t do much
    0:26:22 to improve overall access to housing.
    0:26:27 That said, most people don’t think like economists
    0:26:31 or even believe them, which is why many politicians
    0:26:35 and members of the public think rent control is a great idea.
    0:26:38 Well, I’m in favor of residential rent control
    0:26:39 and rent regulations.
    0:26:41 That is David Eisenbach.
    0:26:43 He teaches history at Columbia University
    0:26:47 and back in 2019, he ran for citywide office
    0:26:51 during a New York special election for public advocate.
    0:26:56 There are in New York City about 3.4 million apartment units,
    0:27:00 nearly one million of which are rent stabilized.
    0:27:04 And New York’s rental market is incredibly expensive,
    0:27:06 as it is in many other cities
    0:27:08 with regulated rents like San Francisco.
    0:27:12 Economists argue that overall high prices
    0:27:16 are a direct consequence of rent regulation.
    0:27:18 What does Eisenbach think?
    0:27:20 I disagree.
    0:27:24 I mean, there are a lot of reasons why real estate
    0:27:26 in San Francisco and real estate in New York are high.
    0:27:31 Blaming it on rent stabilization is definitely not it.
    0:27:34 The consequences of getting rid of either rent control
    0:27:39 and/or rent stabilization would be the immediate displacement
    0:27:43 of a big portion of the population.
    0:27:45 And that would just be cruel at this point.
    0:27:50 I don’t know how anybody could justify even somebody
    0:27:52 looking at it purely in economic terms,
    0:27:55 how anybody could justify that in just in human terms.
    0:27:58 You’re going to blame the high rents on rent control?
    0:27:58 Come on.
    0:28:02 Okay, so Eisenbach does not believe
    0:28:04 the economic research on rent control.
    0:28:05 What does he believe in?
    0:28:09 Well, first and foremost, I’m an angry New Yorker
    0:28:12 who walks around the streets of New York
    0:28:16 and sees empty storefront after empty storefront
    0:28:18 and just feels like my city is dying.
    0:28:21 Some commercial rents in New York have spiked
    0:28:22 along with residential rents.
    0:28:24 Still, in some parts of Manhattan,
    0:28:27 as much as 20 percent of retail space
    0:28:30 is either vacant or soon to be vacant.
    0:28:31 And I found out that there is this bill
    0:28:33 called the Small Business Job Survival Act.
    0:28:37 It was initially submitted back in the 1980s
    0:28:41 and I figured why don’t I run for office pushing this bill
    0:28:44 and so I ran for public advocate on the platform.
    0:28:45 We’re going to pass this bill.
    0:28:47 It’s going to save small business in New York City.
    0:28:51 We should say that Eisenbach did not win the election.
    0:28:53 He came in 13th in a field of 17,
    0:28:55 but he did get a fair amount of attention
    0:28:58 for talking about all those empty storefronts,
    0:29:00 which have upset a lot of people.
    0:29:01 There are two major provisions
    0:29:03 of the Small Business Job Survival Act.
    0:29:06 One, it guarantees a 10-year lease renewal offer
    0:29:08 from the landlord to the tenant
    0:29:11 for any tenant with a commercial lease in New York City.
    0:29:13 Number two, if the landlord and tenant
    0:29:15 cannot come to an agreement,
    0:29:17 they go to legally binding arbitration.
    0:29:22 And that arbitrator then will pick a fair market rent,
    0:29:25 which will then be charged in the next 10-year lease renewal.
    0:29:30 Opponents of this proposal call it commercial rent control.
    0:29:33 But this bill, the Small Business Job Survival Act,
    0:29:35 is absolutely not rent control.
    0:29:38 It doesn’t put a limit on how much rent can be charged,
    0:29:40 which is the very definition of rent control.
    0:29:43 It’s legally binding arbitration.
    0:29:44 Much different.
    0:29:45 Are there other cities that have
    0:29:48 this kind of Small Business Jobs Protection
    0:29:50 on the real estate front that works well?
    0:29:51 It’s going to be unique.
    0:29:57 Eisenbach lost his election,
    0:30:01 but the city council has continued to debate legislation
    0:30:02 that would rein in commercial rents.
    0:30:05 I was interested to know what the economists
    0:30:06 we’ve been speaking with,
    0:30:09 Rebecca Diamond of Stanford and Ed Glazer of Harvard,
    0:30:12 what they thought about commercial rent regulation.
    0:30:14 So I’m also very interested in that,
    0:30:16 and I also know almost nothing about it.
    0:30:19 I’ve never seen any work on it.
    0:30:21 You could easily tell a story where the threat
    0:30:22 of some form of rent control
    0:30:25 makes the vacancy problem worse in the short run.
    0:30:28 So for example, I don’t want to rent right now
    0:30:30 to a lower-end tenant who could fill my space
    0:30:33 because I’ll be locked in by the rent control law,
    0:30:34 and I’ve got that tenant forever.
    0:30:36 So that means I’m going to really hold out
    0:30:39 for a blue-chip tenant because I have this threat of this law
    0:30:40 over my shoulder.
    0:30:42 So do I think vacant empty storefronts are a problem?
    0:30:42 Sure.
    0:30:44 I mean, we can talk about it from a perspective
    0:30:45 of merely as an urbanist,
    0:30:48 where we think it’s unattractive to have these things.
    0:30:50 But I’m also disturbed by it as an economist,
    0:30:53 because someone’s got space to sell.
    0:30:55 There are people who want to buy that space.
    0:30:57 Why isn’t the transaction happening?
    0:31:00 It’s sort of the market is going awry.
    0:31:02 And the answer to that,
    0:31:04 of why the market is going awry,
    0:31:06 is not immediately obvious.
    0:31:07 There are, of course, plenty of theories
    0:31:11 as to why so many storefronts in New York are vacant.
    0:31:12 Here, again, is Vicki Bean,
    0:31:14 the former housing official
    0:31:16 who studies the real estate market at NYU.
    0:31:17 I think there are a lot of questions
    0:31:20 about how commercial rent regulation would work
    0:31:26 and how it might interfere with an efficient market.
    0:31:28 One concern that I would have right now
    0:31:32 is we seem to be in the middle of an upset
    0:31:36 of a transition in retail in general,
    0:31:39 because of the availability of internet retail.
    0:31:41 A lot is in flux.
    0:31:44 But there are two points of evidence against that,
    0:31:45 one of which is that many of these storefronts
    0:31:47 formerly held services,
    0:31:49 and I don’t think a nail salon
    0:31:52 has been made obsolete by Amazon just yet.
    0:31:54 And secondly, the rents, the asking rents,
    0:31:56 at least according to the most recent
    0:31:58 real estate board of New York report,
    0:32:00 in many of these areas are still sky high.
    0:32:02 It’s not like there’s no demand for areas
    0:32:05 where you’re charging $300, $400 per square foot
    0:32:07 to rent these areas.
    0:32:09 In the long term, all of the economic push
    0:32:11 for both the landlords and the tenants
    0:32:13 is to get those units occupied
    0:32:16 and get the rent payments again flowing to the landlord.
    0:32:19 Landlords, whether small or large,
    0:32:21 are often left out of public discussions
    0:32:23 about property markets.
    0:32:24 And if they’re not left out,
    0:32:26 they’re usually drawn as villains.
    0:32:29 Vicky Bean, in thinking about the project
    0:32:31 that she calls “not your grandmother’s rent control,”
    0:32:33 she’s trying to change that.
    0:32:37 I think the thing that you really need to focus on is,
    0:32:41 how can I ensure that the landlord
    0:32:44 is getting a reasonable return,
    0:32:46 because otherwise people will take their money
    0:32:48 and put it elsewhere and you won’t get building?
    0:32:51 And how can we, at the same time,
    0:32:55 try to close some of these avenues
    0:32:58 that landlords could use to try to escape rent regulation
    0:33:04 without it becoming a system that’s so weighed down
    0:33:07 with so many different enforcement challenges
    0:33:12 that it kind of collapses of its own weight, right?
    0:33:16 You need to pay attention to the different ways
    0:33:21 in which property owners are making money on the property.
    0:33:24 So you really need to have a holistic look.
    0:33:28 At the same time, you need to have very open eyes
    0:33:33 view of the kinds of costs that we’re imposing on them.
    0:33:36 There’s one huge cost that drives real estate prices,
    0:33:39 whether we’re talking about rentals or sales,
    0:33:41 for both commercial and residential buildings.
    0:33:44 So in New York City, for example,
    0:33:48 a very high percentage of rent goes for property taxes.
    0:33:52 So we can’t be saying to landlords,
    0:33:54 “Hey, keep prices down,”
    0:33:57 but by the way, your property tax just went up by 10%.
    0:34:03 So we have to recognize that we, as a tax-paying body,
    0:34:06 have an obligation to understand the effect
    0:34:09 that those increases may have on rents,
    0:34:13 and we can’t just turn around and say to the landlord,
    0:34:16 “You absorb them. Don’t pass them on to the tenant,”
    0:34:19 because that’s an unsustainable system.
    0:34:21 So it’s certainly true that renters implicitly
    0:34:23 have to pay for property taxes.
    0:34:24 And it’s not obvious that that’s wrong,
    0:34:26 because the idea of property taxes
    0:34:29 is the paying for city services and renters use city services too.
    0:34:31 That’s obviously not wrong.
    0:34:33 So here’s a big question that I really hope you can answer,
    0:34:35 because I’ve wondered this for a long time.
    0:34:40 Some of the biggest property owners in a city like New York,
    0:34:42 and some of the wealthiest property holders generally,
    0:34:46 are universities, religious institutions,
    0:34:49 hospitals, and other not-for-profit institutions,
    0:34:52 which makes them either partially or wholly exempt
    0:34:53 from paying property taxes.
    0:34:57 So I’m curious, how does that exemption affect, A,
    0:34:59 the taxes paid by everyone else,
    0:35:04 and how does that, B, ultimately affect housing prices for everyone?
    0:35:06 First of all, clearly you’re right.
    0:35:09 The government has decided to subsidize certain institutions
    0:35:12 by enabling them not to pay property taxes.
    0:35:16 And from a purely accounting point of view,
    0:35:18 those taxes need to come from somewhere else.
    0:35:21 On the other hand, it is also true that at least
    0:35:24 some of the institutions that you’re talking about
    0:35:27 have proven to be extraordinarily important
    0:35:28 for the economic health of the area.
    0:35:31 We’re subsidizing the university student.
    0:35:34 We’re making it cheaper for them to rent than it would be otherwise.
    0:35:35 Is that fair?
    0:35:37 Well, we thought that somehow or other,
    0:35:39 it was a good idea to subsidize educational institutions
    0:35:40 at one point in time.
    0:35:42 We thought there might be some spillovers from that,
    0:35:44 some benefits from encouraging people to become educated.
    0:35:46 But we should be open to reinvestigating that.
    0:35:48 And anyway, you shouldn’t take my word for it,
    0:35:50 because after all, I’m the employee of an educational institution.
    0:35:52 So, you know.
    0:36:02 We can ask whether or not the blanket property tax exemption
    0:36:05 that we’ve given to religious institutions
    0:36:07 and educational institutions is appropriate.
    0:36:10 I mean, that seems like a reasonable question to ask.
    0:36:11 In the case of religious institutions,
    0:36:14 it in some sense goes back to fundamental issues
    0:36:15 about separation of church and state in the US,
    0:36:17 but we can still ask this question.
    0:36:22 I would be surprised if we think that changing those tax rates
    0:36:25 is the number one step to take to promote affordability
    0:36:26 in New York City, though,
    0:36:30 relative to, you know, bringing more space on market
    0:36:33 that you can actually build on changing the regulations.
    0:36:35 I mean, it seems like that’s not likely to be the case,
    0:36:38 but it is true that, you know, you move stuff
    0:36:41 to a religious area in educational use.
    0:36:43 In many cases, you’re moving it away from an owner
    0:36:45 who would actually build on it.
    0:36:46 And that’s also correct.
    0:36:49 (upbeat music)
    0:36:51 Coming up after the break,
    0:36:54 a lot of regular people who aren’t institutions
    0:36:57 would also like a break on their rent.
    0:36:58 Rent control sounds like a dream, man.
    0:37:01 I’m Stephen Dubner.
    0:37:02 You were listening to a bonus episode
    0:37:05 of Freakonomics Radio, and we will be right back.
    0:37:17 So what have we learned about housing,
    0:37:18 especially affordable housing,
    0:37:20 especially in the most desirable cities?
    0:37:24 For starters, we’ve learned that it’s complicated.
    0:37:28 Property taxes play a large under-appreciated role
    0:37:30 in driving up costs,
    0:37:33 and the tax burden isn’t necessarily spread so equitably.
    0:37:35 Rent regulations, meanwhile,
    0:37:38 appeal to the public and politicians,
    0:37:40 but they also create perverse incentives
    0:37:43 that in the long run work against affordable housing.
    0:37:46 How about housing vouchers?
    0:37:49 Aren’t they a more flexible way to subsidize housing?
    0:37:52 The advantage of a voucher is you can go through
    0:37:55 all of those eligibility requirements
    0:37:58 and really target the voucher to the families
    0:37:59 that you think are most in need.
    0:38:04 And we, in New York and in many other major cities,
    0:38:08 we have prohibitions against a landlord refusing a tenant
    0:38:11 because they’re using a voucher rather than earned income.
    0:38:17 But we’re still getting enormous resistance from landlords
    0:38:21 because if you have a federal government that shuts down
    0:38:23 and isn’t paying its voucher payments,
    0:38:26 and there the landlord is stuck with that, right?
    0:38:30 Or if you have a city like New York City did
    0:38:33 that issued vouchers and then changed its mind and said,
    0:38:35 “Oops, that program is over,”
    0:38:38 then the landlord has a tenant in place
    0:38:39 who no longer can pay the rent
    0:38:42 and the landlord has to take them to court
    0:38:43 and bear the cost of that.
    0:38:47 Meanwhile, the market price of housing in a place like Manhattan
    0:38:50 lies somewhere between punitive and prohibitive.
    0:38:54 Here’s what we heard when we took our microphones outside
    0:38:56 to Bryant Park in Midtown Manhattan.
    0:38:59 Manhattan rent, onerous.
    0:39:00 Astronomically high.
    0:39:02 That’s too expensive, way too expensive.
    0:39:03 That’s why I live in New Jersey.
    0:39:07 And what do these people think about regulated rents?
    0:39:10 Rent control sounds like a dream, man.
    0:39:11 Rent control sounds good.
    0:39:14 It’s really key to find all those stabilized rent buildings.
    0:39:15 If you do, I think it’s golden.
    0:39:16 If not, it sucks.
    0:39:19 Pull disclosure, I did do economics, so market failure.
    0:39:27 So if rent control isn’t a viable tool
    0:39:29 in the fight for affordable housing, what is?
    0:39:33 The most natural tool towards affordability is supply
    0:39:36 and to make sure that we are making it easy enough
    0:39:41 to build moderate cost rental apartment buildings in these cities.
    0:39:42 Ed Glazer again.
    0:39:46 We’ve used regulations to so restrict our ability
    0:39:48 to provide affordable housing units
    0:39:52 that now we’re at this restricted frozen and amber form.
    0:39:55 In the case of New York, gosh, New York is New York.
    0:39:57 It’s hard to imagine how much housing
    0:39:59 you’d really need to say to man for New York.
    0:40:01 What about Boston where you live?
    0:40:04 Boston is facing what it calls a historic housing shortage.
    0:40:07 The city is growing, not enough housing to match.
    0:40:09 What do you suggest Boston do to accommodate that surge
    0:40:12 other than let the market work its famous magic?
    0:40:15 Look, drive around Boston.
    0:40:18 It doesn’t look overcrowded to me,
    0:40:20 and I don’t think it should look overcrowded to anyone else.
    0:40:22 There’s a lot of vacant industrial space
    0:40:25 that could easily house tens of thousands of units.
    0:40:26 If you’ve made it easy enough to build,
    0:40:31 I’ve got to think that this is a doable problem,
    0:40:34 at least from an engineering and economics point of view.
    0:40:36 The politics, of course, are more difficult.
    0:40:38 What specifically would need to be done to change it?
    0:40:42 The big answer is you need as of right zoning
    0:40:44 that enables fairly high density levels
    0:40:47 over a fair amount of space.
    0:40:50 Currently, Boston’s zoning plan is highly antiquated.
    0:40:53 Every project is handled on an ad hoc basis.
    0:40:55 Usually, it involves variances that are quite high
    0:40:56 from the original plan,
    0:41:00 which means that they are highly subject to a judicial challenge.
    0:41:03 All of that is a recipe for uncertainty and delay
    0:41:04 in endless community meetings.
    0:41:06 The thing that works best
    0:41:08 is when you have something where you’ve decided in advance,
    0:41:09 this is how much we’re going to allow to build.
    0:41:12 There are a couple of simple rules that you’ve got to follow.
    0:41:14 Come here, bring your units, and make it happen.
    0:41:15 And that’s what’s needed.
    0:41:16 That’s what actually works.
    0:41:18 It’s not something that involves a 10-year negotiation process,
    0:41:21 but something that says, here are the rules up front.
    0:41:22 Go to it.
    0:41:28 It should be noted that not all U.S. cities
    0:41:30 impose the same level of red tape you see
    0:41:33 in Boston and New York and San Francisco.
    0:41:35 If you want to look for affordability,
    0:41:37 the American Sun Belt is pretty great.
    0:41:41 The Atlantas, the Houston’s, the Dallas’s,
    0:41:44 the places that just have made it very easy to build
    0:41:45 over the last 40 years.
    0:41:48 You want to ask why Atlanta, Dallas, Houston, Phoenix,
    0:41:50 each added a million people between 2000 and 2010
    0:41:51 as metro areas.
    0:41:52 It’s because they make it astonishingly easy to build.
    0:41:55 And you can go and you can buy a great-looking house
    0:41:57 for a fraction of what you’d pay in New York in these places.
    0:42:00 And, you know, we don’t have an affordable housing crisis
    0:42:02 in the U.S. nationally.
    0:42:03 We have lots of affordable housing in places
    0:42:06 with names like Atlanta, but just not in New York City.
    0:42:10 Many European cities, meanwhile, are more like New York,
    0:42:12 in fact, exaggerated versions of New York.
    0:42:15 Much of Europe is quite restrictive in your cities,
    0:42:18 but I am much more comfortable about the idea
    0:42:20 that much of central Paris is, you know,
    0:42:22 patrimony of the world and needs to be protected.
    0:42:25 While policies vary from city to city and country to country,
    0:42:29 almost all major European cities have rent control.
    0:42:33 Sweden, of course, is the place where Acer Lindback,
    0:42:34 the famous economist.
    0:42:36 And although he was market-oriented,
    0:42:37 he certainly skewed to the left.
    0:42:40 Acer famously said that short of bombing,
    0:42:42 I know of no way to destroy a city
    0:42:44 that was more effective than rent control.
    0:42:47 And he certainly had stock home in mind.
    0:42:54 Right now, there are around 10 million people
    0:42:55 living in Sweden.
    0:43:01 Around 550,000 of these people were standing in a queue
    0:43:03 waiting for an apartment in Stockholm.
    0:43:05 That is 5% of the Swedish population.
    0:43:08 That’s the economist Tommy Anderson.
    0:43:11 I am a professor at Lund University,
    0:43:13 which is located in the south of Sweden.
    0:43:17 I focus on an area called market design.
    0:43:20 Since we spoke with Anderson back in 2019,
    0:43:22 the number of people waiting for an apartment in stock home
    0:43:24 has grown to over 800,000.
    0:43:27 Sweden has nationwide rent control.
    0:43:31 The rental system in Sweden is based on collective bargaining.
    0:43:34 So according to the Swedish law,
    0:43:37 there is a union called the Swedish Union of Tenants.
    0:43:42 And their job is essentially to negotiate the rents for tenants.
    0:43:47 And it’s based on something which is called the utility value,
    0:43:54 which essentially means that if you have two comparable apartments,
    0:43:55 they should have the same rents.
    0:43:57 Another objective that they have
    0:44:00 is that they should keep the rents low.
    0:44:03 The rents cannot be increased by too much.
    0:44:06 If you’ve been listening closely,
    0:44:08 it may not surprise you to learn that this system
    0:44:10 has led to a housing shortage.
    0:44:13 Because people will not invest in new buildings
    0:44:15 unless they can get good returns.
    0:44:19 So if you look at this report written by this
    0:44:22 National Board of Housing, Building and Planning from 2016,
    0:44:30 they estimated that Sweden needs around 440,000 new homes before 2020.
    0:44:35 This shortage is what can lead to long lines to get an apartment,
    0:44:36 especially in the more desirable places.
    0:44:39 How long do you have to wait in stock home?
    0:44:43 You have to wait for 10 or 20 or even 30 years
    0:44:46 to get an apartment right now if you would sign up today.
    0:44:51 What if you don’t want to wait 10 or 20 or 30 years for an apartment?
    0:44:56 So there are no official figures because it’s a black market,
    0:44:59 but it’s clear that there exists a black market.
    0:45:02 You can get an apartment in several different ways.
    0:45:07 So one of them is essentially to buy a contract with black money.
    0:45:13 You can also bribe someone in charge of allocating available apartments
    0:45:15 to get a better position in the queue.
    0:45:19 And another thing which is kind of popular is these fake swaps.
    0:45:25 You’re allowed by law to swap apartments with other persons.
    0:45:28 So you’re just pretending that you’re swapping apartments,
    0:45:30 but essentially you are not.
    0:45:33 In the old days what I’ve heard and I must stress that
    0:45:35 I don’t have any scientific evidence on this,
    0:45:41 but apparently a black contract used to cost around 10% of the market value.
    0:45:47 But in recent years it has actually grown to say 20% of the market value of the apartment.
    0:45:50 So it’s kind of expensive to buy a black contract.
    0:45:53 And you know it’s always a risk to be involved in this business
    0:45:56 because even if you pay the money it’s not clear that you will get the apartment.
    0:46:00 Simply because I mean there are criminal gangs involved in this as well.
    0:46:07 That does not sound like what the designers of the Swedish rental system were going for.
    0:46:10 But the housing market in Stockholm is so bad
    0:46:13 that even business leaders there have risen up in protest.
    0:46:17 The CEO and the founder of Spotify in 2016,
    0:46:20 he wrote an open letter to the people of Sweden saying that
    0:46:25 unless you know you solve this housing situation in Stockholm,
    0:46:29 Spotify may consider moving its headquarters out of Stockholm
    0:46:33 simply because we cannot find housing for our future employees.
    0:46:39 If policymakers can’t figure out smarter ways to encourage more affordable housing,
    0:46:44 you can expect to see this kind of scenario playing out in cities all over the world.
    0:46:49 What’s your experience with rent control or your opinion?
    0:46:53 Let us know. Our email is radio@freakonomics.com.
    0:46:55 Also please spread the word about our show.
    0:46:58 That is the best way to support it.
    0:47:01 You can also leave a rating or review on your podcast app.
    0:47:03 Thanks for that.
    0:47:07 We will be back very soon with another new episode of Freakonomics Radio.
    0:47:11 Until then, take care of yourself and if you can, someone else too.
    0:47:18 Freakonomics Radio is produced by Stitcher and Renbud Radio.
    0:47:21 You can find our entire archive on any podcast app
    0:47:26 also at Freakonomics.com where we publish transcripts and show notes.
    0:47:28 This episode was produced by Zach Lipinski.
    0:47:31 Our staff also includes Alina Kulman, Augusta Chapman,
    0:47:35 Delvin Abouage, Eleanor Osborne, Elsa Hernandez,
    0:47:37 Gabriel Roth, Greg Rippin, Jasmine Klinger,
    0:47:40 Jeremy Johnston, John Schnarrs, Julie Kanfer,
    0:47:42 Mjörk Baudic, Morgan Levy, Neil Karuth,
    0:47:46 Rebecca Lee Douglas, Sarah Lilly, and Theo Jacobs.
    0:47:49 Our theme song is “Mr. Fortune” by the Hitchhikers.
    0:47:51 Our composer is Luis Guerra.
    0:47:53 As always, thanks for listening.
    0:47:58 How’s things?
    0:48:00 Great. Yeah, things are nice.
    0:48:01 Got some rain here in California.
    0:48:04 Good. Congratulations. That’s important, I guess, yeah?
    0:48:06 Thank you.
    0:48:13 The Freakonomics Radio Network, the hidden side of everything.
    0:48:18 Stitcher.
    0:48:20 you
    0:48:30 [BLANK_AUDIO]

    A new proposal from the Biden administration calls for a nationwide cap on rent increases. Economists think that’s a terrible idea. We revisit a 2019 episode to hear why.

     

    • SOURCES:
      • Tommy Andersson, professor of economics at Lund University.
      • Vicki Been, professor of law at New York University and former deputy mayor for housing and economic development in New York City.
      • Rebecca Diamond, professor of economics at Stanford Graduate School of Business.
      • David Eisenbach, history lecturer at the Manhattan School of Music and Columbia University.
      • Ed Glaeser, professor of economics at Harvard University.

     

  • 598. Is Overconsolidation a Threat to Democracy?

    AI transcript
    0:00:03 [MUSIC PLAYING]
    0:00:06 Last week in part one of this series,
    0:00:10 we heard about the long and strange history of eyeglasses.
    0:00:14 What we often see in early arts are representations
    0:00:17 of the devil wearing spectacles.
    0:00:20 And we learned how today, the $150 billion
    0:00:23 eyewear industry, has one dominant player,
    0:00:27 a French-Italian conglomerate called Esselor Luxorica.
    0:00:29 They have full control over prices,
    0:00:31 and that’s just a license to mint money from them.
    0:00:34 We also heard how challengers like Warby Parker
    0:00:37 are trying to change the economics of the industry.
    0:00:40 When we had this idea to sell eyewear
    0:00:44 for a fraction of the cost, people loved that idea.
    0:00:47 Today on Freakonomics Radio, in part two of our series,
    0:00:50 we learn about the massive rise of myopia,
    0:00:54 the even more massive rise of China as an eyeglass market,
    0:00:58 and what an eye doctor knows that you don’t know.
    0:01:00 I always tell people, you don’t compromise
    0:01:03 on parachutes or eyeglasses.
    0:01:05 Oh yeah, one more thing.
    0:01:08 We ask whether intense consolidation in an industry
    0:01:13 like eyewear could be a threat to democracy itself?
    0:01:16 If people feel a tiny group of consolidated industries
    0:01:19 and their beneficiaries make all the money,
    0:01:22 it tends to create a lot of widespread anger.
    0:01:25 The surprising economics of the eyeglass industry,
    0:01:27 part two, beginning now.
    0:01:30 (upbeat music)
    0:01:42 – This is Freakonomics Radio,
    0:01:46 the podcast that explores the hidden side of everything
    0:01:48 with your host, Stephen Dubner.
    0:01:51 (upbeat music)
    0:01:53 (upbeat music)
    0:01:59 Tim Wu is a law professor at Columbia.
    0:02:03 He has also been in both the Obama and Biden administrations
    0:02:06 an advocate of stronger anti-trust legislation.
    0:02:09 Wu argues that too many industries
    0:02:11 have just one or two dominant players
    0:02:13 which can push up prices.
    0:02:16 This would include the eyeglass industry.
    0:02:18 – It has to compare itself with other obscene margin takers
    0:02:20 like the pharmaceutical drug industry.
    0:02:23 The specific target of Wu’s criticism here
    0:02:24 is S.L.O.R. Luxottica,
    0:02:28 which controls a massive portion of the global industry
    0:02:31 from eyeglass retailers to optical labs,
    0:02:34 from luxury partnerships to vision insurance.
    0:02:36 – Some of the worst abuses of market power
    0:02:37 are in medical industries
    0:02:40 where you can’t really go without the thing.
    0:02:41 You need glasses, right?
    0:02:44 If you wanna see things that are far away.
    0:02:46 There is something particularly offensive
    0:02:48 when you take advantage of an essential need
    0:02:49 that people have.
    0:02:52 – To be fair, I’m extremely grateful
    0:02:54 to the whole history of science of eye care.
    0:02:58 ‘Cause if I were born in an era before eyeglasses,
    0:03:01 I would have been like Viking food.
    0:03:01 They would have chopped me up
    0:03:03 to feed to the horses or something.
    0:03:04 I would have been useless.
    0:03:07 So if I have to pay $1,000 for a pair of glasses
    0:03:10 that let me see really well, I don’t love it,
    0:03:11 but I am grateful.
    0:03:13 I guess the story I’ve always told myself
    0:03:15 is just think of all that technology
    0:03:16 that has gone into that.
    0:03:19 – Yeah, if Luxottica employed a team of crack scientists
    0:03:22 who had invented eyeglasses five years ago,
    0:03:23 I would be singing their praises and saying,
    0:03:26 “Wow, look, these guys invented this thing.
    0:03:27 “We’ll give them a break.”
    0:03:30 I don’t know who invented the idea of a prism,
    0:03:31 but certainly they didn’t.
    0:03:33 That’s like giving American Airlines credit
    0:03:35 for inventing the airplane.
    0:03:36 They’re the one who’s throwing you
    0:03:39 in the middle seat and charging you for overhead baggage.
    0:03:40 They’re not the right brothers.
    0:03:41 I think you got the wrong guys.
    0:03:45 – One thing about the airline industry,
    0:03:48 their product has gotten cheaper,
    0:03:49 adjusted for inflation,
    0:03:51 airline tickets have fallen by at least a third
    0:03:53 over the past 40 years.
    0:03:57 As for eyeglasses, there are some inexpensive ones out there.
    0:04:00 Zeni Optical sells glasses online
    0:04:02 for an average of $44 a pair.
    0:04:05 Glasses at Warby Parker start at $95,
    0:04:09 but the industry average is around $350.
    0:04:11 What’s driving these prices?
    0:04:14 Let’s talk to someone who knows the details.
    0:04:17 – A regular single vision lens can start at $150.
    0:04:20 That is Harvey Mascot.
    0:04:23 He is an optometrist and the fourth generation
    0:04:26 of his family to run the Mascot eyeglass chain,
    0:04:28 which started in New York.
    0:04:31 – And I both fixer upper, I like to consider myself.
    0:04:33 I work in the family business my whole life,
    0:04:35 summers for beer money.
    0:04:37 So I was always introduced and exposed
    0:04:38 to the optical business.
    0:04:39 – When you grow up in a family business,
    0:04:43 it’s what all of the generations talk about at dinner.
    0:04:44 It’s a part of your culture.
    0:04:47 – And that’s Zachary Mascot, Harvey’s son.
    0:04:49 He’s the firm’s chief design officer.
    0:04:51 That covers the design of their glasses,
    0:04:53 as well as the Mascot shops,
    0:04:56 which have some distinctive touches.
    0:04:58 – Walking into a Mascot shop,
    0:05:00 it’s like walking into my grandmother’s living room.
    0:05:03 I don’t know if I can recreate the smell,
    0:05:04 but it’s certainly-
    0:05:06 – Would you want to recreate the smell?
    0:05:07 – I’m not gonna answer that,
    0:05:09 but it’s certainly a warm feeling.
    0:05:13 There’s knickknacks, there’s random items at the cashier,
    0:05:15 a little bunny rabbit holding a business card,
    0:05:17 things that were collected by my grandfather
    0:05:18 when he would bring it home.
    0:05:19 And my grandmother said,
    0:05:22 that’s not staying here, bring it back to the shop.
    0:05:24 And that became the aesthetic of our brand.
    0:05:26 – The story starts out in 1899
    0:05:28 when my great-grandfather, Hyman,
    0:05:30 who I’m named after, Harvey,
    0:05:33 came to America with a classic story of coming to America
    0:05:36 to pursue your dreams and escape oppression.
    0:05:37 In Eastern Europe at the time,
    0:05:40 he was an optician from the old country
    0:05:42 and set up his wares on the Lower East Side,
    0:05:43 Orchard Street,
    0:05:46 and sold ready-made glasses from a push cart.
    0:05:49 And then his son, Saul, was born in America in 1910,
    0:05:51 and Saul was pretty entrepreneurial,
    0:05:54 and they set up a brick and mortar shop.
    0:05:56 And we sat on the corner of Orchard and Delancey
    0:05:57 for 78 years.
    0:06:01 My dad followed his father into the business as an optician.
    0:06:03 They took their craft seriously.
    0:06:04 They loved opticianry.
    0:06:07 They loved taking care of clientele and customers.
    0:06:10 – The Moscow aesthetic today is Old World New York
    0:06:13 with a dash of nouveau cool.
    0:06:15 We are at the, I would say the lower end
    0:06:17 of the high-end segment.
    0:06:20 We’re really positioned as a fashion brand
    0:06:22 that of course offers medical functions
    0:06:24 and the expertise of opticians,
    0:06:27 but we’re really positioning ourselves
    0:06:29 in the luxury brand side of things.
    0:06:33 – The names of the frames at Moscow are memorable.
    0:06:36 The Boy Chick, the Frankie, the Neb,
    0:06:37 their best-selling frame,
    0:06:40 worn by David Beckham and Johnny Depp
    0:06:43 and Rashida Jones is called the Lemtosh.
    0:06:45 I asked where that name came from.
    0:06:48 – It was actually a made-up family word,
    0:06:49 kind of like a Yiddish slang
    0:06:51 that they would use when picking on one another.
    0:06:52 – You’re such a Lemtosh.
    0:06:54 – Stop being a Lemtosh.
    0:06:56 – We never take ourselves too seriously, Stephen,
    0:06:57 and we like to have fun.
    0:06:59 And these were just words that were used in the family
    0:07:01 that I heard growing up.
    0:07:04 – So what is it about the Lemtosh
    0:07:06 that makes it universally appropriate
    0:07:08 or so widely appropriate at least?
    0:07:11 Can you describe, you know, whether it’s the shape,
    0:07:13 the textures, the way it sits?
    0:07:15 Just what is it about that frame?
    0:07:18 – It’s the perfect balance of square and round.
    0:07:19 It is not perfectly round.
    0:07:22 It is not perfectly square.
    0:07:23 Because of that shape,
    0:07:25 it inadvertently fits super well
    0:07:27 on different types of noses
    0:07:29 or as we call in the industry, bridges.
    0:07:32 – What are you wearing right now, Harvey?
    0:07:34 I mean, glasses-wise.
    0:07:38 – I am wearing my Lemtosh in a champagne color,
    0:07:39 which we call flesh.
    0:07:43 – The fact is, while speaking to the Mascots,
    0:07:47 I too was wearing a pair of Lemtosh frames.
    0:07:49 I’ve been a Mascot customer for a few years now,
    0:07:51 and that’s one reason I wanted to hear from them.
    0:07:53 I started buying my glasses at Mascot
    0:07:55 not because of how the frames look,
    0:07:57 although I do like them.
    0:07:59 I wound up there because the glasses I was getting
    0:08:02 at other places just didn’t work very well.
    0:08:05 The lenses, I mean, they were a little imprecise
    0:08:08 or had too small of a sweet spot.
    0:08:10 They scratched too easily.
    0:08:13 I now told Harvey Mascot my eyeglass history,
    0:08:15 and I asked him to walk me through the pricing.
    0:08:17 – I don’t want to get too technical, but–
    0:08:19 – No, I want the technical.
    0:08:20 – Well, we have to start with,
    0:08:21 are you wearing progressives?
    0:08:22 – I am, yes.
    0:08:25 – And is your prescription over a minus four?
    0:08:26 – Yes.
    0:08:27 – Sounds like you’re pretty nearsighted.
    0:08:29 Highly myopic prescriptions
    0:08:31 with high astigmatic corrections,
    0:08:34 a lot of competitors have trouble
    0:08:36 with these more complex prescriptions
    0:08:38 that we take pride in providing,
    0:08:39 and we’re comfortable doing,
    0:08:42 and our licensed personnel understand.
    0:08:43 Do you have prism?
    0:08:44 – Yes.
    0:08:46 So once I get into that fairly complicated lens,
    0:08:49 and also let’s say I want my lens to be nice and thin,
    0:08:51 ’cause I don’t want it to look like I’m looking through
    0:08:52 the bottom of a Coke bottle.
    0:08:54 What does that lens cost?
    0:08:57 – You can add $100, $200 for higher indexes,
    0:09:00 which is just increased density of the material
    0:09:02 that makes the lens thinner.
    0:09:06 You check all the boxes for a very complicated patient
    0:09:08 and customer that Moscow loves to serve.
    0:09:11 So you’re probably upwards of $1,000.
    0:09:12 – Yes, I am, yeah.
    0:09:15 And now, what would you say to someone who hears this
    0:09:17 and maybe who doesn’t wear glasses yet,
    0:09:20 who might once they hit 40 or whatnot,
    0:09:22 and say $1,000 for a pair of glasses?
    0:09:24 Come on, that’s absurd.
    0:09:26 – Well, usually before 40, you don’t need progressives,
    0:09:29 so they won’t be that expensive.
    0:09:32 But if you’re over 40, I would say you have two eyes.
    0:09:36 You want the best possible vision you can get.
    0:09:38 Vision is a precious sense.
    0:09:41 You don’t compromise on parachutes or eyeglasses.
    0:09:46 – The Moscow brand has been growing,
    0:09:47 especially over the past decade.
    0:09:49 They have more than two dozen shops around the world,
    0:09:53 many in the U.S., but also in Japan, South Korea,
    0:09:55 and spread around Europe.
    0:09:57 Compared to Estelar Luxotica,
    0:10:00 they are a minnow, and for a long time,
    0:10:03 they didn’t even make their own lenses.
    0:10:06 – It was the one piece of the puzzle that we hadn’t solved.
    0:10:08 I personally had done everything in the optical business,
    0:10:12 from opticianry, optometry, to working with frames,
    0:10:14 but we would purchase our lenses
    0:10:18 from various lens vendors, the Estelars of the world.
    0:10:19 – In what form were they,
    0:10:21 are they purchased finished essentially,
    0:10:24 or are they kind of like a hockey puck that you grind down?
    0:10:25 – They’re called finished blanks.
    0:10:26 You can buy lenses finished,
    0:10:29 and then you just edge them locally in your lab,
    0:10:31 which means cutting them to the frame proper size,
    0:10:32 and all of that.
    0:10:35 – The degree of magnification is already set, you’re saying.
    0:10:39 – Yeah, the prescription is ground by surfacing equipment
    0:10:41 that grinds into the surface of the lens,
    0:10:42 the front and back surface,
    0:10:44 so that the prescription is accurate.
    0:10:46 – But a couple of years ago,
    0:10:49 Moscow took a page out of Estelar Luxotica’s playbook
    0:10:53 by incorporating a bit of vertical integration.
    0:10:55 Instead of buying lenses from a supplier,
    0:10:58 Moscow started to make their own.
    0:11:00 – It was something that we wanted to migrate to
    0:11:02 and focus on and learn about.
    0:11:03 – How come?
    0:11:06 – Because at the end of the day, prices were rising,
    0:11:09 costs continued to rise, we don’t sacrifice on quality,
    0:11:11 and we would never, for example,
    0:11:15 buy less expensive screws or wire templates.
    0:11:17 I think it speaks to the fact that we’re control freaks,
    0:11:21 and not being able to control certain aspects
    0:11:23 of what you do was bothersome to me.
    0:11:27 Relying on others to do your work is always problematic for us.
    0:11:29 So now we service our own lenses,
    0:11:31 we don’t have to buy them from the Estelars of the world,
    0:11:34 and we actually grind the prescription in and control it,
    0:11:35 but it wasn’t about profit,
    0:11:37 it was more about service levels in our shops
    0:11:40 and controlling the quality of the lenses
    0:11:41 that we were producing,
    0:11:43 understanding how they were made,
    0:11:45 modifying them in a way that would optimize vision
    0:11:47 for our customers.
    0:11:50 – So you opened this lab just a few years ago,
    0:11:51 and this is on Long Island, correct?
    0:11:52 – Correct, yes.
    0:11:54 – We started it from scratch,
    0:11:56 a very gray as a result of it.
    0:11:59 – So you’re investing in your lens operation,
    0:12:02 you’re investing in expanding around the world,
    0:12:04 a couple dozen shops,
    0:12:05 have you taken any outside money,
    0:12:08 or is this all mascot reinvestment?
    0:12:12 – The latter, credit facilities for banks and our own money.
    0:12:14 – I don’t wanna sound like your depression era
    0:12:15 great-grandfather,
    0:12:18 but does it keep you up at night sometimes?
    0:12:20 – Sure, we expand the brand thoughtfully,
    0:12:22 we do things for the right reasons,
    0:12:24 not just for hitting targets and numbers.
    0:12:28 So that’s why it’s taken us 109 years to have 27 shops.
    0:12:33 – I told Harvey Mascot about the complaints
    0:12:34 that Tim Woo had raised,
    0:12:38 that eyeglass firms didn’t invent eyeglass technology
    0:12:41 any more than American Airlines invented the airplane,
    0:12:44 and that technologies usually get cheaper over time.
    0:12:47 So why aren’t eyeglasses getting cheaper?
    0:12:50 – The eyewear business requires licensed personnel
    0:12:51 on the retail level.
    0:12:55 It’s a unique specialty retail industry.
    0:12:58 So licensed opticians are licensed by states.
    0:13:02 You need to be licensed in order to open an optical shop
    0:13:04 in New York, California, most of the states.
    0:13:07 Doctors of optometry are the vision specialists
    0:13:10 that provide prescriptions along with eye health exams.
    0:13:12 So the cost structures are very different.
    0:13:14 Doctors aren’t making what a gap employee
    0:13:16 is making selling apparel.
    0:13:20 So when you combine all these costs and laboratory costs
    0:13:23 and specialized skilled costs, it’s very different.
    0:13:28 And to just apply that to like a straight retail profit analysis
    0:13:30 would be a little bit inaccurate.
    0:13:33 – So you think Tim Woo is misunderstanding
    0:13:35 the complexity of the industry a little bit?
    0:13:36 – Most people do.
    0:13:42 – I went back to the eyeglass industry analyst
    0:13:44 we heard from in the first part of this series,
    0:13:48 Cedric Rossi, who works for a European investment bank.
    0:13:50 He is an expert in S-Lore Luxatica
    0:13:53 but also knows a great deal about Warby Parker
    0:13:56 and every other eyewear brand I could name.
    0:14:00 I asked Rossi if he’s familiar with mascot.
    0:14:01 – Yeah, a little bit.
    0:14:02 It’s starting to expand in Europe.
    0:14:05 It was a brand that was almost nonexistent
    0:14:07 outside New York, if I’m correct.
    0:14:08 – Yes, you’re right.
    0:14:11 – Even in the US, actually it was not very well known
    0:14:14 until now the owners are starting to realize
    0:14:17 that there is some opportunities not only in the US
    0:14:19 but also internationally.
    0:14:21 Moscott is a very interesting brand
    0:14:24 to differentiate yourself from competition.
    0:14:27 And that’s why I think optical retailers in Europe
    0:14:29 are offering a mascot into the stores
    0:14:33 to attract new customers that are used to buying
    0:14:35 a Reban and Oakley for years and years.
    0:14:38 And now they also want to discover new brands.
    0:14:40 – If you were Moscott and you’re trying to take
    0:14:45 a relatively small New York retro fashion brand
    0:14:48 that’s not inexpensive, where would you look
    0:14:52 to expand particularly in the next five or 10 years?
    0:14:54 – When you are a US brand, the obvious international markets
    0:14:56 are the Anglo-Saxon markets.
    0:15:00 It’s very convenient to start with the UK,
    0:15:01 Australia, New Zealand.
    0:15:03 The consumer behavior is pretty much similar
    0:15:05 to what you have in the US.
    0:15:07 And then Europe is also a market
    0:15:10 which is quite relevant for Moscott.
    0:15:13 Also because people are highly attracted by fashion.
    0:15:15 Then Asia, but it’s a tough market
    0:15:17 because you have a lot of intermediaries,
    0:15:19 sometimes in Japan to exist.
    0:15:22 You need to be distributed by department store chains
    0:15:24 in South Korea, same story.
    0:15:25 – Why is that?
    0:15:27 Why can’t I have a standalone eyeglass store there?
    0:15:30 – That’s how the market is structured.
    0:15:32 – Is it because of the medical component or no?
    0:15:33 – No, no, no.
    0:15:36 Even for luxury companies, when they started
    0:15:40 to expand in Japan or in South Korea in the 80s,
    0:15:43 they were distributed into department store chains
    0:15:46 because it was really hard to just have a freestanding store
    0:15:48 in a very popular street.
    0:15:50 – Is that because South Korea and Japan,
    0:15:54 let’s say, want to constrain foreign direct investment?
    0:15:56 They don’t want firms to come in
    0:15:59 and basically manage the real estate.
    0:16:01 They want to keep the real estate management more local
    0:16:03 for taxes and ownership and so on.
    0:16:04 – That could be part of the answer,
    0:16:07 but the other reason is that department store chains
    0:16:11 own a big chunk of the fashion market.
    0:16:13 And so if you want to address a new market,
    0:16:16 it’s more convenient to be distributed into department stores
    0:16:18 because you rely on a distribution
    0:16:19 that is already well-established.
    0:16:24 – Rossi says that everyone in the eyeglass industry
    0:16:28 is looking to Asia-Pacific for the next big growth spurt.
    0:16:30 He says the most attractive target,
    0:16:34 especially to a global giant like S. Laura Luxartica,
    0:16:35 is China.
    0:16:39 China is only 4% to 5% of S. Laura sales.
    0:16:41 As a comparison, China already accounts
    0:16:44 for more than 20% or 25% of some luxury groups
    0:16:47 like Hermès or Moncler, for instance.
    0:16:50 In the optical industry, it’s quite difficult
    0:16:52 to penetrate in emerging markets
    0:16:54 because to exist, you need to have
    0:16:55 often monogists and opticians.
    0:16:58 – So does S. Laura Luxartica
    0:17:02 or any other eyewear manufacturer actually fund the education
    0:17:06 or the business practices of optometrists in these countries?
    0:17:07 – Exactly.
    0:17:08 – They do, ah.
    0:17:10 – Exactly, S. Laura Luxartica
    0:17:13 opened a few schools to train opticians
    0:17:16 because they know that if they want to develop
    0:17:17 their business in those countries,
    0:17:20 they also need to help the local governments
    0:17:22 create from scratch the eyewear market.
    0:17:24 And so that’s why the Chinese government
    0:17:27 was highly supportive to the initiatives
    0:17:29 implemented by S. Laura Luxartica at that time.
    0:17:31 It’s because, you know, the welfare state
    0:17:33 does not exist in China.
    0:17:35 And so if they have some Western companies
    0:17:38 helping to create the local eyewear market,
    0:17:41 they were highly supportive to these initiatives.
    0:17:43 – Does S. Laura Luxartica see that
    0:17:45 as a cost center or a profit center?
    0:17:47 They’re charging tuition or are they subsidizing
    0:17:49 or somewhere in the middle?
    0:17:51 – I would say it’s even more than that.
    0:17:53 It’s an investment for the long-term growth.
    0:17:56 (dramatic music)
    0:17:57 – That makes sense, doesn’t it?
    0:18:00 That S. Laura Luxartica would be willing
    0:18:04 to invest in schools to train Chinese opticians
    0:18:07 because the Chinese eyeglass market is growing fast
    0:18:10 and it’s growing differently.
    0:18:11 Coming up after the break.
    0:18:13 – In China, I do see the commercial side
    0:18:15 moving too quickly.
    0:18:18 – A new treatment for myopia is big business
    0:18:21 in China right now and S. Laura Luxartica
    0:18:25 has positioned itself once again to take advantage.
    0:18:25 I’m Stephen Dubner.
    0:18:27 This is Freakonomics Radio.
    0:18:28 We’ll be right back.
    0:18:31 (gentle music)
    0:18:41 – Maria Lu is a professor and researcher
    0:18:42 in the Optometry School
    0:18:44 at the University of California Berkeley.
    0:18:48 She, like me and many, many, many other people,
    0:18:52 has myopia, also known as nearsightedness.
    0:18:53 – I’m fully convinced,
    0:18:56 at least for my own nearsightedness,
    0:19:00 this is heavily driven by my early introduction
    0:19:03 of pretty intense academic stress.
    0:19:06 – And just how intense was her academic stress?
    0:19:10 – I skipped two years in primary school,
    0:19:13 one year in middle school and one year in high school.
    0:19:14 – Lu grew up in China
    0:19:17 and was diagnosed with myopia at age 13.
    0:19:19 She got a medical degree in ophthalmology
    0:19:21 and practiced there for several years
    0:19:23 before moving to the U.S.,
    0:19:26 where she acquired several more degrees,
    0:19:29 a doctor of optometry, an MBA,
    0:19:32 a master’s in public health, and a PhD.
    0:19:34 For many years, Lu says,
    0:19:37 myopia was thought to be a purely genetic condition,
    0:19:40 but she was of the school that thought otherwise,
    0:19:43 that it can also be driven by environmental factors,
    0:19:47 like long stretches of reading or other close-up work
    0:19:50 or too much time focused on screens
    0:19:52 or not getting enough sunlight.
    0:19:54 Here’s one piece of evidence in her argument
    0:19:57 that genetics aren’t the only driver.
    0:20:01 She is the only near-sighted person in her family.
    0:20:02 Here’s another piece of evidence.
    0:20:05 The rate of myopia around the world
    0:20:08 has been going bonkers over the past few decades.
    0:20:11 – We know for any common condition,
    0:20:14 if you see a drastic change in the disease prevalence,
    0:20:19 this cannot be explained by the human genetic mutation
    0:20:21 because human genetic makeup
    0:20:24 simply do not mutate at this rate.
    0:20:28 – In the US, 42% of the population has myopia.
    0:20:32 In the 1970s, the rate was just 25%.
    0:20:34 Several countries in Asia,
    0:20:36 including China, Singapore, and Japan,
    0:20:40 have myopia rates of 80% to 90%.
    0:20:42 In Seoul, South Korea,
    0:20:47 96.5% of 19-year-old men have myopia.
    0:20:50 – Not only were seeing a very rapid increase
    0:20:51 in the overall prevalence,
    0:20:54 we’re also seeing a rapid change
    0:20:57 in terms of the age of onset.
    0:21:00 We’re seeing kids started developing myopia
    0:21:02 at a younger and younger age.
    0:21:04 This is very concerning
    0:21:08 because the earlier the age of onset,
    0:21:10 the faster the progression.
    0:21:14 – As infants, our eyeballs grow to a round shape.
    0:21:17 Myopia occurs when the eyeball elongates
    0:21:20 past the round shape to more of an oval.
    0:21:23 The environmental argument says that this elongation
    0:21:26 is the eyes way of adapting to the demand
    0:21:28 of focusing on something close to your face,
    0:21:31 a book maybe, or perhaps more likely,
    0:21:33 a smartphone or a computer screen.
    0:21:37 It is now estimated that 30% of the global population
    0:21:40 has myopia and researchers expect that number
    0:21:43 to hit 50% by 2050.
    0:21:46 Maria Lu thought that something should be done about that.
    0:21:51 So at Berkeley, she started the myopia control clinic.
    0:21:55 – When I was trying to start the clinic back in 2013,
    0:21:59 our previous clinical director was not very convinced
    0:22:02 that number one, myopia is even controllable
    0:22:05 and number two, a commercial potential
    0:22:07 for this type of service.
    0:22:11 So I volunteered my Sundays to get the clinic started
    0:22:13 just to really show that yes,
    0:22:16 we have a huge demand for this kind of service
    0:22:21 and yes, this is evidence-based practice, not some voodoo.
    0:22:23 – And it isn’t just a matter of seeing better.
    0:22:25 Myopia, left untreated,
    0:22:29 can lead to a variety of severe eye conditions.
    0:22:32 There are treatments to help slow the progression of myopia,
    0:22:36 including eye drops, contact lenses, and surgery,
    0:22:40 but there is a newer, perhaps more promising treatment.
    0:22:42 – The use of the novel spectacles.
    0:22:45 – The novel spectacle is a pair of glasses
    0:22:48 designed to slow the elongation of the eyeball.
    0:22:51 The lens includes thousands of micro dots
    0:22:54 that diffuse the light that hits the eye.
    0:22:57 – Novel spectacles will become, in the future,
    0:23:02 in my personal opinion, the first line treatment globally
    0:23:04 for progressive myopia.
    0:23:07 Unfortunately, this is the type of treatment
    0:23:10 that has not been approved by US FDA,
    0:23:13 so we don’t have such treatment available
    0:23:14 in our clinic yet,
    0:23:17 but in China, novel spectacles,
    0:23:20 based on those micro lens technology,
    0:23:24 are becoming the first line defense for myopia control.
    0:23:28 – And the Chinese market for novel spectacles is booming.
    0:23:32 Liu sees this firsthand in her practice in California.
    0:23:36 – Not only Chinese families going back to China
    0:23:38 and getting those glasses,
    0:23:41 but many families fly to Canada.
    0:23:45 Canada offers a couple of those devices or designs already.
    0:23:49 I’ve had multiple patient families flying to Canada,
    0:23:52 specifically just to get those glasses.
    0:23:56 – But Liu is concerned that some of these novel spectacles
    0:23:58 won’t do what people are hoping they’ll do.
    0:24:02 – To my knowledge, there are over 200 different designs
    0:24:04 of those novel spectacles,
    0:24:07 specifically for myopia control.
    0:24:10 Out of these 200 plus designs,
    0:24:12 there are about 10% of them
    0:24:16 that actually underwent any sort of clinical testing.
    0:24:18 In China, I do see the commercial side
    0:24:20 is moving too quickly,
    0:24:22 but in the rest of the world,
    0:24:26 all of these major players are playing a vital role
    0:24:28 in advancing the research side
    0:24:31 for us to better understand and better manage myopia.
    0:24:35 – One of those major players helping advance the research
    0:24:39 is, as you may have guessed, Esalor Luxotica.
    0:24:42 They’re one of the major manufacturers
    0:24:45 that invested a lot in clinical testing.
    0:24:48 The sample size, the rigorousness
    0:24:52 of the clinical study designs are very, very different.
    0:24:55 We’ve seen some designs being tested
    0:24:57 with a sample size of 30,
    0:25:01 but Esalor has pretty good clinical data,
    0:25:05 not only in terms of the years of observation,
    0:25:07 but also the diversity of the children
    0:25:09 being recruited for the study.
    0:25:12 – As an investment for Esalor Luxotica,
    0:25:13 this makes a lot of sense.
    0:25:16 The management of myopia is already big business
    0:25:18 and we’ll be getting much bigger.
    0:25:21 – This is gonna be the next major wave
    0:25:25 in either revenue boosting or profit boosting.
    0:25:29 The retail price range for novel spectacles
    0:25:33 can be anywhere from a couple of hundred dollars
    0:25:35 up to 1500 US dollars.
    0:25:39 – Esalor Luxotica’s model is called the Stellist.
    0:25:42 – Because of their upfront investment in R&D
    0:25:44 and the clinical testing,
    0:25:48 Esalor Stellist definitely is on the higher price range.
    0:25:50 – There’s another design in the US
    0:25:51 that’s currently making its way
    0:25:53 through the FDA’s approval process.
    0:25:58 It’s called Diffusion Optics Technology Lens or DOT.
    0:25:59 It is a joint venture
    0:26:04 between the American firm Cooper Vision and Esalor Luxotica.
    0:26:06 Interestingly, the two designs,
    0:26:09 the Stellist versus the DOT design
    0:26:13 are based on very different design principles.
    0:26:18 And so they are not just a copycat of one another.
    0:26:22 So it’s good to see novel spectacle industry
    0:26:25 offering designs based on different principles
    0:26:29 so that in case a patient is a non-responder to one design,
    0:26:32 we may be able to try a totally different design
    0:26:35 rather than trying another copycat.
    0:26:36 – And how does Lou feel about
    0:26:39 the relatively high cost of novel spectacles?
    0:26:40 – So the question is,
    0:26:45 do I see a high price of these novel spectacles justifiable?
    0:26:49 I would say yes and no.
    0:26:54 The yes part is to manage pediatric myopia,
    0:26:56 even just simply with glasses,
    0:26:58 it takes a lot more chair time
    0:27:01 for the practitioners to explain
    0:27:04 why we’re prescribing those devices,
    0:27:07 how frequent we need to see your child back
    0:27:10 and there are a lot more auxiliary testing
    0:27:14 that’s required to accurately evaluate the safety
    0:27:17 and the efficacy of the treatment.
    0:27:22 In the US, we’re able to charge more for the service fee,
    0:27:25 but in China, there is no way
    0:27:29 the doctors can charge for their chair time.
    0:27:32 So all of the time they spend in patient
    0:27:33 and parent education,
    0:27:37 in making sure these devices are properly used,
    0:27:41 are built into the overall cost of the lenses.
    0:27:42 In China market,
    0:27:46 a lot of the manufacturers are still very profit-driven,
    0:27:49 it’s not evidence-based,
    0:27:54 and it’s causing confusion more than helping the advancement.
    0:27:56 – And how about the US market?
    0:27:59 We’ve had patients asking for novel spectacles
    0:28:01 on a daily basis,
    0:28:04 so it’s whoever is doing the most heavy lifting,
    0:28:08 being the first product approved in US market,
    0:28:11 certainly deserve to have the momentum,
    0:28:13 at least for the first two, three years.
    0:28:15 – And a lot of that heavy lifting has been done
    0:28:17 by Esalar Luxatica.
    0:28:19 – I really respect their effort
    0:28:23 in trying to help on the more basic research side,
    0:28:25 not just something that’s immediately translatable
    0:28:27 to a commercial profit.
    0:28:30 – And so, on balance,
    0:28:34 Maria Lu believes that Esalar Luxatica is a force for good
    0:28:37 in the fight against myopia.
    0:28:41 Using the billions of dollars they earn selling Prada
    0:28:43 and Chanel branded glasses,
    0:28:45 by selling Ray-Bans and Oakleys,
    0:28:47 to invest in new optical treatments.
    0:28:50 But again, we are living through an era of capitalism
    0:28:53 where consolidation is the norm.
    0:28:56 So, is it a problem that one player
    0:29:00 in the eyeglass industry has so much global leverage?
    0:29:03 Tim Wu says yes,
    0:29:07 and not just for the reasons you may think.
    0:29:08 That’s coming up after the break.
    0:29:11 I’m Stephen Dubner, and this is Freakonomics Radio.
    0:29:19 (dramatic music)
    0:29:22 As we’ve noted throughout this series,
    0:29:25 the French-Italian eyewear firm, Esalar Luxatica,
    0:29:28 has a dominant position in the global industry.
    0:29:31 Just last week, they bought the streetwear brand Supreme,
    0:29:35 which doesn’t even make eyeglasses, at least not yet.
    0:29:37 They were also reported to be in talks with Meta,
    0:29:39 the parent company of Facebook,
    0:29:41 that would have the software giant
    0:29:45 taking on a minority stake in Esalar Luxatica.
    0:29:47 Those two firms have already partnered
    0:29:49 on a pair of Ray-Ban smart glasses,
    0:29:52 Ray-Ban being a property that Esalar Luxatica
    0:29:54 bought in 1999 and turned into
    0:29:58 the biggest eyewear brand in the world.
    0:30:03 So, Esalar Luxatica is very big and getting bigger.
    0:30:06 This is the kind of thing that makes Tim Wu nervous.
    0:30:09 He is the Columbia University legal scholar
    0:30:12 who has spent time in two presidential administrations.
    0:30:17 In 2018, he published a book called The Curse of Bigness,
    0:30:20 Anti-Trust in the New Gilded Age.
    0:30:23 I went back to Wu for a final word.
    0:30:29 So, you argue that corporate or industrial concentration
    0:30:31 can lead to a variety of bad outcomes,
    0:30:33 but especially bad political outcomes,
    0:30:37 including extreme nationalism, even fascism.
    0:30:39 Give me an example of what you mean by that.
    0:30:41 – I think the real road to serfdom
    0:30:46 often goes through unmanaged aggregations of private power.
    0:30:49 And what I mean by that is if you have
    0:30:51 no active anti-monopoly policy,
    0:30:56 if people feel a tiny group of consolidated industries
    0:30:58 and their beneficiaries make all the money,
    0:31:02 it tends to create a lot of widespread anger,
    0:31:04 particularly if there’s an economic crash.
    0:31:07 I think our best example is the 1930s,
    0:31:09 where there was a ton of anger, obviously,
    0:31:13 after the crash of the world’s economies.
    0:31:14 Countries weathered it in different ways,
    0:31:17 but most famously in Germany,
    0:31:19 this widespread economic discontent
    0:31:22 fed into the hands of a certain leader
    0:31:24 who I don’t always like to mention,
    0:31:26 but obviously the Nazi party rose during that period
    0:31:28 on the backs of it.
    0:31:30 I think you see this across history,
    0:31:34 these aggregations of economic wealth and power,
    0:31:37 big crashes leading to the rise of a populist.
    0:31:39 We’ve had, obviously, a taste of that ourselves
    0:31:41 over the last 10 years or so,
    0:31:44 so I don’t think we’re entirely exempt from these tendencies.
    0:31:47 You write that excessive concentration of economic power
    0:31:51 will breed anti-democratic political pressures.
    0:31:53 I could understand you saying
    0:31:56 they could breed those pressures, but will breed.
    0:31:59 Do you really feel there’s an inevitable connection
    0:32:02 between that kind of economic concentration
    0:32:04 and bad political outcomes?
    0:32:09 – I think it depends on the critical question
    0:32:11 of how the democratic government deals
    0:32:14 with the inequality and inequities.
    0:32:17 Will might be a strong word in that sentence,
    0:32:20 which I predict is from my introduction,
    0:32:23 but I think the more nuanced view
    0:32:25 is if there’s a democratic failure,
    0:32:28 if people feel that they haven’t done anything
    0:32:32 or worse are facilitating unfairness in the economy,
    0:32:35 then the demand rises for the strong man
    0:32:37 who can really do what the people want.
    0:32:39 I’ve studied the messaging of all these figures
    0:32:40 who come to power.
    0:32:43 It’s always like, you have this democracy,
    0:32:46 but they don’t really serve you.
    0:32:48 You need someone who has a direct line to the people,
    0:32:49 and that’s me.
    0:32:51 I’ve read a lot of Hugo Chavez’s speeches.
    0:32:54 I’ve read the speeches of our former president or heard them.
    0:32:56 I’ve read the speeches in 1930s.
    0:32:57 It is basically the same,
    0:32:59 usually coupled with some identity politics
    0:33:00 and other sweeteners.
    0:33:02 – I mean, the American situation is not as drastic
    0:33:05 as Weimar Germany certainly, at least not yet,
    0:33:07 and hopefully never will be,
    0:33:11 but we have already been seeing the impact of consolidation
    0:33:15 in the form of corporate capture or crony capitalism,
    0:33:18 whatever you wanna call it over the past 20 or 30 years.
    0:33:22 It strikes me that this has had a pretty significant cost
    0:33:24 for American society.
    0:33:26 – Yeah, I think it is a significant cost,
    0:33:29 and it may ultimately be measured in the threat to democracy,
    0:33:34 but also measured in the economic wellbeing of many people.
    0:33:36 If you spend any time near Congress,
    0:33:40 you realize that they will never really take a stand
    0:33:43 against a powerful industry.
    0:33:44 I mean, in the last 20 years,
    0:33:46 you can count on the fingers of one hand
    0:33:47 the times they’ve done something
    0:33:49 that industry really doesn’t like,
    0:33:54 and that was including after a major economic crash.
    0:33:57 I agree, we’re not obviously where the 1930s are,
    0:33:59 but in some ways we’re a more stable country.
    0:34:01 Other countries are already flipped.
    0:34:04 I mean, I don’t know what Hungary’s gonna be like,
    0:34:07 or many other countries all across Central America,
    0:34:09 but if you haven’t noticed authoritarianism,
    0:34:11 dictatorship is on the rise,
    0:34:13 and I think it’s almost always played on the back of,
    0:34:14 well, the democracy failed.
    0:34:17 But yes, it’s a huge cost to the American situation
    0:34:19 to have corporate control of government.
    0:34:21 – Do you think that the eyeglass industry
    0:34:24 is important enough to worry about consolidation,
    0:34:27 posing an actual danger to democracy?
    0:34:30 – I wouldn’t, but that way I’d put it in combination
    0:34:33 with a lot of other frustrations that people feel.
    0:34:35 The eyeglass industry is somewhat small,
    0:34:38 but potent symbol of what happens
    0:34:40 when you allow corporate consolidation
    0:34:41 to get out of control.
    0:34:44 Obviously, it’s not the largest industry in the country,
    0:34:46 and it’s not Google or Amazon,
    0:34:49 but it is literally in your face or on your face.
    0:34:52 It’s kind of a test case of an industry
    0:34:56 which has been allowed to buy most of its competitors.
    0:35:01 Luxotica has been allowed to vertically integrate itself,
    0:35:04 both in the manufacture of lenses and in retail,
    0:35:05 and also insurance,
    0:35:08 and therefore find itself in a market position
    0:35:10 where it can regularly charge margins
    0:35:12 that would make even Apple computers jealous.
    0:35:16 – What do you think of Tim Woo’s argument
    0:35:20 that the kind of dominance exercised by Esalora Luxotica
    0:35:23 is a threat to democracy?
    0:35:25 Or what do you think about anything else
    0:35:27 you heard in this series?
    0:35:29 I’d love to hear from you.
    0:35:33 Our email is radio@freakonomics.com.
    0:35:36 Coming up next time on the show,
    0:35:39 if modern capitalism is a problem,
    0:35:43 how about this as a solution?
    0:35:46 – Time is an interesting commodity.
    0:35:48 – I’m like, why are people not talking about it?
    0:35:50 – You can imagine it being a time barter system
    0:35:54 on steroids enabled by modern technology.
    0:35:56 – Are we at the point where time dollars
    0:35:59 can challenge real dollars?
    0:36:01 That’s next week on the show.
    0:36:02 Until then, take care of yourself.
    0:36:05 And if you can, someone else too.
    0:36:09 Freakonomics Radio is produced by Stitcher and Renbud Radio.
    0:36:12 You can find our entire archive on any podcast app
    0:36:14 also at freakonomics.com
    0:36:16 where we publish transcripts and show notes.
    0:36:19 This episode was produced by Morgan Levy.
    0:36:21 Our staff also includes Alina Cullman,
    0:36:23 Augusta Chapman, Dalvin Abouaji,
    0:36:26 Eleanor Osborne, Elsa Hernandez, Gabriel Roth,
    0:36:29 Greg Rippen, Jasmine Klinger, Jeremy Johnston,
    0:36:31 Julie Canfer, Lyric Boudic, Neal Karuth,
    0:36:33 Rebecca Lee Douglas, Sarah Lilly,
    0:36:35 Teo Jacobs, and Zac Lipinski.
    0:36:37 Special thanks this week to John Schnars
    0:36:39 and Ellen Frankman.
    0:36:42 Our theme song is “Mr. Fortune” by the Hitchhikers.
    0:36:44 Our composer is Luis Guerra.
    0:36:46 As always, thank you for listening.
    0:36:51 – Steven, we’re just trying to solve world peace
    0:36:53 with Lentosh at a time.
    0:36:55 (laughing)
    0:36:58 (electronic beeping)
    0:37:01 – The Freakonomics Radio Network,
    0:37:03 the hidden side of everything.
    0:37:06 (upbeat music)
    0:37:07 Stitcher.
    0:37:09 (upbeat music)
    0:37:11 you

    That’s the worry. Even the humble eyeglass industry is dominated by a single firm. 

    We look into the global spike in myopia, how the Lemtosh got its name, and what your eye doctor knows that you don’t. (Part two of a two-part series.)

     

    • SOURCES:
      • Maria Liu, professor of clinical optometry at the University of California, Berkeley.
      • Harvey Moscot, C.E.O. of MOSCOT Eyewear and Eyecare.
      • Zachary Moscot, chief design officer of MOSCOT Eyewear and Eyecare.
      • Cédric Rossi, equity research analyst at Bryan Garnier.
      • Tim Wu, professor of law, science and technology at Columbia Law School.

     

     

  • 597. Why Do Your Eyeglasses Cost $1,000?

    AI transcript
    0:00:03 [MUSIC PLAYING]
    0:00:05 Here’s a riddle for you.
    0:00:07 Name an item that is both a medical device
    0:00:13 and a fashion accessory, an item that may cost $50 to make,
    0:00:16 but often sells for over $1,000.
    0:00:19 An item that was invented eight centuries ago
    0:00:22 has improved billions of lives, and yet, many people
    0:00:26 who need it don’t have it, especially children.
    0:00:28 Have you figured it out?
    0:00:32 The item I’m talking about here is the pair of eyeglasses
    0:00:36 sitting right now on my face and maybe yours too.
    0:00:38 This episode and the episode next week
    0:00:42 also are about the economics of the eyeglass industry.
    0:00:45 Does that sound boring?
    0:00:46 It isn’t boring.
    0:00:48 What we learned while making these episodes
    0:00:52 is that the eyewear industry is fascinating and strange.
    0:00:55 What you see is often not what you get.
    0:00:58 It is a unique and resilient industry,
    0:01:00 in the words of one research firm,
    0:01:04 with global annual revenues of around $150 billion.
    0:01:07 And it’s growing fast, not just because more people
    0:01:10 need glasses these days, but because we are paying more.
    0:01:13 In the US, the biggest market in the world,
    0:01:15 a pair of simple prescription glasses
    0:01:18 costs, on average, around $350.
    0:01:20 It is an industry with many players,
    0:01:23 but one is much bigger than the rest.
    0:01:26 They’re called Estelor Luxatica.
    0:01:28 They are the result of a 2018 merger
    0:01:31 between the French lens manufacturer, Estelor,
    0:01:34 and the Italian frame maker, Luxatica.
    0:01:37 You’ve probably never heard of Estelor Luxatica,
    0:01:40 but you certainly know the brands they partner with.
    0:01:44 Armani, Chanel, Coach, Michael Kors, on and on and on.
    0:01:48 But Estelor Luxatica goes way, way beyond luxury.
    0:01:51 They own lens crafters and pearl vision,
    0:01:54 Vision Express, and Oliver Peoples.
    0:01:58 They own sunglass hut, as well as Rayban and Oakley.
    0:02:00 They even own iMed,
    0:02:03 the second biggest vision insurer in the US.
    0:02:05 So, you get the picture.
    0:02:08 – They have full control over prices,
    0:02:10 and that’s just a license to mint money for them.
    0:02:12 – Let me say right up front
    0:02:15 that Estelor Luxatica would not speak with us
    0:02:18 for the series, but other people did.
    0:02:21 Industry analysts and rival manufacturers,
    0:02:23 optometrists and economists,
    0:02:26 historians, and a government regulator,
    0:02:28 who had this to say.
    0:02:31 – The margins, even by luxury good standards, are obscene.
    0:02:34 – Why is a technology that’s been around for centuries
    0:02:37 still so expensive?
    0:02:40 We’ll tell you why, and we will tell you much more
    0:02:43 about this strange, fascinating industry beginning now.
    0:02:48 (upbeat music)
    0:02:50 (clinking)
    0:02:57 – This is Freakonomics Radio,
    0:03:01 the podcast that explores the hidden side of everything,
    0:03:03 with your host, Stephen Dubner.
    0:03:06 (upbeat music)
    0:03:15 – Have you ever wondered about the history of eyeglasses?
    0:03:17 I have.
    0:03:19 So we called up this man.
    0:03:21 – Yes, hello, I’m Neil Handley,
    0:03:24 and I am the curator of the British Optical Association
    0:03:27 Museum at the College of Optometrists.
    0:03:29 – Handley’s museum is in central London.
    0:03:32 – A stone’s throw from Trafalgar Square.
    0:03:34 – And the museum’s purpose is what?
    0:03:39 – The purpose is to outline the history and development
    0:03:45 of optometry services to help people conserve their vision
    0:03:49 and to make the most of the eyes that they’ve been given.
    0:03:52 – Okay, so let’s have some optical history.
    0:03:53 Where should we start?
    0:03:56 – There was a rudimentary understanding
    0:03:58 of the principles of optics,
    0:04:00 very much in the ancient world,
    0:04:02 particularly in the Arab world,
    0:04:06 but it seems that that knowledge did not result
    0:04:10 in any device for correcting vision
    0:04:12 until about the year 1000.
    0:04:14 – And why do you think that was?
    0:04:16 – Well, there were various explanations put forward
    0:04:21 as to why it wasn’t necessary to correct vision.
    0:04:24 For example, in an ancient society where you have slavery,
    0:04:28 if you cannot read, a literate slave will read to you.
    0:04:33 If you are insufficiently cited to work in the fields,
    0:04:38 they will give you a sedentary activity instead,
    0:04:41 using your hands perhaps to spin or to make pots.
    0:04:46 There’s even some evidence that people with extreme myopia
    0:04:51 may have been introduced to others of the same condition
    0:04:53 so that they could interbreed,
    0:04:55 a bit like breeding race horses,
    0:04:58 so that these people could work in the scriptoria,
    0:05:02 doing the minute illustrations on illuminated manuscripts.
    0:05:07 – Myopia, by the way, is when you see well close up,
    0:05:09 but not at a distance.
    0:05:12 Presbyopia is when you can’t see as well close up.
    0:05:15 That happens to most of us after age 40.
    0:05:18 Handley says the first vision correcting device
    0:05:20 was called a reading stone.
    0:05:22 – The reading stone is a bit like
    0:05:25 your present day desk magnifier.
    0:05:28 It’s something which is held in direct contact
    0:05:30 with the item being viewed.
    0:05:33 If you have a page on the table, you lay it flat
    0:05:37 and you place the reading stone on top of it.
    0:05:40 And your eye is at some distance from it,
    0:05:44 but it is performing that enlarging function.
    0:05:48 – In the late 13th century, friars and priests in Italy
    0:05:52 began to wear primitive spectacles that sat on the nose.
    0:05:56 For the next 400 years or so, that’s what glasses were,
    0:05:59 a handheld device without arms or temples,
    0:06:00 the part of the glasses we know today
    0:06:03 that hold the frames in place.
    0:06:04 In these early days,
    0:06:07 spectacles were primarily associated
    0:06:10 with clergy and scholars, but not exclusively.
    0:06:15 – It is quite revealing about how many early modern paintings
    0:06:20 show glasses in a quite negative depiction.
    0:06:25 Government officials, tax collectors, money changes
    0:06:30 are shown with spectacles, often counting coins
    0:06:32 and they’re entering the exact amounts of money
    0:06:35 into a ledger and you, the viewer,
    0:06:38 are supposed to look at this with resentment
    0:06:40 and think, oh my goodness,
    0:06:44 if only they would turn a blind eye to the money that I owe.
    0:06:48 – For the person wearing glasses, there was double whammy.
    0:06:50 Already you didn’t see very well on your own
    0:06:52 and by correcting your vision,
    0:06:56 you were suspected of trafficking in something nefarious.
    0:06:59 – What we often see in early arts
    0:07:03 are representations of the devil wearing spectacles.
    0:07:07 They start to take on this magical connotation
    0:07:09 whereby glasses allow you to see the things
    0:07:11 that you shouldn’t see.
    0:07:16 Another reason why people were reluctant to wear spectacles
    0:07:21 was because they were so closely associated with aging.
    0:07:24 You have paintings in which a pair of spectacles
    0:07:26 are shown alongside a skull.
    0:07:28 The symbolism of that is quite clear.
    0:07:31 By now, there were spectacle makers in Italy
    0:07:33 and elsewhere in Europe
    0:07:34 and they figured it was time
    0:07:37 for some better public relations.
    0:07:39 – The French medieval spectacle makers felt
    0:07:44 it was necessary to rehabilitate spectacle wearing
    0:07:45 and the best way to do that
    0:07:49 is to have a celebrity figurehead
    0:07:52 and they alighted upon Saint Jerome
    0:07:53 who had many advantages,
    0:07:55 one being that he was long dead
    0:07:58 and so they didn’t have to pay for his services
    0:08:01 but he was recognized as one of the foremost
    0:08:03 of the early church fathers.
    0:08:07 So his moral character was without question.
    0:08:10 He had gone into the desert and found a lion
    0:08:13 that was limping with a fawn in its paw,
    0:08:16 pulled out the fawn and become the friend
    0:08:17 to this wild beast.
    0:08:21 So he was a benevolent, compassionate figure
    0:08:23 who was kind to animals,
    0:08:27 which is a great image for a caring profession
    0:08:29 but he was also the ultimate scholar
    0:08:31 because he had translated the Vulgate version
    0:08:34 of the Bible from Greek into Latin.
    0:08:38 And the idea was that if only he had had access
    0:08:41 to spectacles, which he most certainly didn’t
    0:08:43 ’cause he died in the fourth century,
    0:08:47 then it would have been a very worthy use of them
    0:08:50 to translate the word of God itself.
    0:08:53 – The early eyeglasses were simple magnifiers,
    0:08:55 much like the reading glasses you can buy today
    0:08:58 in a drugstore without a prescription.
    0:09:00 Those are useful for people with presbyopia,
    0:09:03 concave lenses, which helped people with myopia,
    0:09:05 also made an appearance around the 13th century,
    0:09:08 although myopia itself wasn’t really understood
    0:09:11 until the 16th century.
    0:09:13 By the 17th century, it was possible
    0:09:16 to walk into a shop and buy eyeglasses.
    0:09:20 – London was certainly one of the leading cities
    0:09:23 for this new concept of the spectacle shop.
    0:09:26 You can actually go to a retail premises
    0:09:28 and buy a pair of glasses
    0:09:31 that most likely had been made on the premises.
    0:09:32 – How customized were they?
    0:09:35 – They were anything but customized
    0:09:37 when it came to their optical performance.
    0:09:42 It wasn’t possible to grind the lens to a set power.
    0:09:46 So they generally classified the finished products
    0:09:49 as either young glasses or old glasses.
    0:09:52 – By the 18th century, eyeglasses had frames
    0:09:55 with temples that gripped the side of the head.
    0:09:58 This made it possible to wear them all day long.
    0:10:02 And now glasses were no longer just a medical device,
    0:10:04 but also a statement.
    0:10:06 – If you were wealthy, you could have your spectacles
    0:10:11 made out of silver as opposed to out of iron.
    0:10:15 And there is a flourishing export market.
    0:10:20 In America, it wasn’t possible to obtain spectacles
    0:10:24 unless another ship arrived with a consignment of them.
    0:10:28 And some Americans of whom the most famous
    0:10:32 is probably Benjamin Franklin came over to London,
    0:10:34 lived here for 15 years
    0:10:36 and had a profitable sideline
    0:10:40 in sending spectacles back to Philadelphia.
    0:10:43 We got a print in our collection here at the museum
    0:10:47 of merchants landing in the new world
    0:10:50 and they haven’t even got off the beach.
    0:10:53 They’re literally just waded out of the water
    0:10:57 and they’ve opened a packing crate full of spectacles.
    0:11:00 And that’s what people are trading on the beach
    0:11:02 because these were so in demand
    0:11:05 and so hard to get hold of.
    0:11:07 – Any idea of what the markup was like back then?
    0:11:12 – I couldn’t give you a percentage figure for the markup,
    0:11:16 but the retail price to the consumer
    0:11:20 was still generally cheaper than today.
    0:11:21 And that’s because of course,
    0:11:24 we don’t have any brand names at this point
    0:11:28 and they’re still not seen as a luxury product per se.
    0:11:31 They’re still something that’s largely functional.
    0:11:35 It’s worth identifying the historical reasons
    0:11:40 why the price of spectacles has relatively increased.
    0:11:45 You had the growth of a professional eye care service
    0:11:51 and it is those professional fees for the site test
    0:11:56 and for the individual dispensing of the spectacles
    0:11:59 that is added to the cost of the frame.
    0:12:02 – And what about the use
    0:12:06 and therefore the cost of technology in eyewear?
    0:12:10 Is the average pair of eyeglasses today substantially
    0:12:13 more technologically advanced than it was 50 or 100 years ago?
    0:12:15 – You can have on the one hand,
    0:12:18 your simple ready readers that you can pick up
    0:12:23 from a dollar store through to the very high performance
    0:12:26 lenses with specialist coatings
    0:12:28 and much more recently,
    0:12:32 the development of wearable technologies,
    0:12:34 augmented reality eyewear,
    0:12:37 spectacle mounted cameras and audio devices
    0:12:40 such that your spectacles are no longer just a vision aid,
    0:12:44 but in fact, a multi-purpose device.
    0:12:47 So there’s no such thing as a pair of glasses anymore.
    0:12:51 – So yes, there are a number of reasons
    0:12:53 that a pair of glasses today might cost more
    0:12:56 than they did in Ben Franklin’s day,
    0:12:58 adjusting for inflation, of course.
    0:13:02 On the other hand, if you think about eyewear as technology,
    0:13:06 most technologies get cheaper over time,
    0:13:08 especially with something that for the most part
    0:13:09 hasn’t changed all that much.
    0:13:12 There is a set of frames and a pair of lenses,
    0:13:17 no moving parts, no need for electricity or wifi.
    0:13:21 All of this makes glasses relatively simple to manufacture.
    0:13:23 When something is simple to manufacture,
    0:13:26 the barrier to entry in the industry is low.
    0:13:29 So you would expect to see a lot of competition,
    0:13:33 which drives prices down.
    0:13:36 And there are a lot of players in the eyeglass industry,
    0:13:37 especially a lot of small players,
    0:13:40 but when it comes to big players,
    0:13:41 when it comes to the big engine
    0:13:45 that really drives the industry, there’s only one.
    0:13:49 – It’s the number one lens and frames manufacturers,
    0:13:51 which is a vertically integrated player
    0:13:55 operating from manufacturing to optical retailing.
    0:13:57 – That is Cedric Rossi.
    0:14:01 He’s French, also an equity research analyst
    0:14:04 at the Parisian Investment Bank, Brian Garnier.
    0:14:07 – I’ve been covering the optics industry for 15 years now,
    0:14:10 and I’m also covering the fashion groups
    0:14:14 like HEM, Inditex, Moncler, the sporting goods brands
    0:14:16 like Adidas, Nike, and so on.
    0:14:17 – And what does Rossi mean when he talks about
    0:14:21 the optics industry as a vertically integrated player?
    0:14:23 – When you are a vertically integrated player,
    0:14:26 you master every step within the value chain.
    0:14:30 When you master and you control 100% of the value chain,
    0:14:32 I think you have two very good examples,
    0:14:33 Hermes and Louis Vuitton.
    0:14:35 Louis Vuitton, 100% of their products
    0:14:37 are sold into a Louis Vuitton store.
    0:14:39 You cannot buy Louis Vuitton products
    0:14:41 outside of Louis Vuitton stores.
    0:14:43 In Iowa, it’s pretty much similar.
    0:14:46 When you are a 100% vertically integrated player,
    0:14:50 you control manufacturing, supply chain,
    0:14:52 distribution, customer experience,
    0:14:55 then you will also control how you want
    0:14:56 the industry to evolve.
    0:15:00 – And SLR Luxotica does seem to have that kind of control.
    0:15:03 We’ll get more into that as we go along.
    0:15:06 But first, if we want to understand how glasses
    0:15:08 became a fashion accessory
    0:15:12 and how even non-fashion glasses got so expensive,
    0:15:14 we need to do just a little bit more history.
    0:15:19 And for that, we go to a woman named Jessica Glasscock.
    0:15:21 – I am an eyeglass wearer.
    0:15:23 I am a fashion historian
    0:15:28 and I am a weird sunglasses enthusiast.
    0:15:30 – She is also the author of a book
    0:15:31 called Making a Spectacle,
    0:15:33 Fashionable History of Glasses.
    0:15:36 She lectures at Parsons School of Design in New York
    0:15:38 and she used to work as a researcher
    0:15:41 at the Metropolitan Museum of Arts Costume Institute.
    0:15:45 – Right now, I am wearing my go-to pair of glasses.
    0:15:48 I should really have more pairs of glasses
    0:15:50 as someone who’s written a book on the topic,
    0:15:54 but I’m actually wearing a fairly exotic prescription
    0:15:55 that has a prism in it.
    0:15:58 And so my eyeglasses are very expensive
    0:16:01 even before we get to the frames.
    0:16:04 – I know where of Jessica Glasscock speaks.
    0:16:07 I too have a somewhat complicated eyeglass prescription
    0:16:09 including a prism lens,
    0:16:13 which helps the left and right eyes align a single image.
    0:16:15 – The frames that I’m wearing
    0:16:19 are a pair of Anna Sui glasses
    0:16:21 from I think about 2012
    0:16:26 and they have rhinestones and they are a pretty color.
    0:16:30 I like for my glasses to have a bit of pizzazz,
    0:16:32 especially if you’re wearing them every day.
    0:16:37 – Pizzazz and a prism and a nicely made frame.
    0:16:41 That is a recipe for $1,000 pair of glasses.
    0:16:44 – I would say as someone who wears a complex prescription
    0:16:48 that you can’t put a price on having good vision.
    0:16:50 So it is a long-term investment.
    0:16:54 Compared to a high fashion handbag,
    0:16:57 I think high fashion eyewear is actually quite a bargain.
    0:17:00 – Glasscock says that high fashion eyewear
    0:17:02 got started in the 1950s
    0:17:04 when manufacturers began to collaborate
    0:17:06 with fashion designers.
    0:17:09 – American Optical collaborated with Scapparelli,
    0:17:13 did a lens with feather eyelashes.
    0:17:15 You have this moment in the 1970s
    0:17:19 where you start to see a ton of licensing
    0:17:22 of everything by fashion designers.
    0:17:26 Halston’s doing towels, Pierre Cardan’s doing cookware
    0:17:29 and eyewear is one of those things.
    0:17:34 And the rate seemed to be a rate of 6% to 7%
    0:17:38 of return on the sales of those glasses.
    0:17:41 It’s really at the end of the 80s
    0:17:44 when Armani goes to make a deal with Lexotica
    0:17:47 and they create a different structuring
    0:17:52 of how the fashion eyewear collaboration is gonna work.
    0:17:54 – So what was this new structure
    0:17:57 and how did this new kind of deal work?
    0:18:01 It was very hard for me to locate numbers, money,
    0:18:04 like what the deal was.
    0:18:07 – This is another feature of the eyewear industry.
    0:18:10 Lexotica especially has never gone out of its way
    0:18:11 to discuss its business
    0:18:15 and many smaller players are privately held
    0:18:17 so they don’t have to disclose much.
    0:18:19 There’s also the fact that eyewear
    0:18:22 is one of those old fashioned manufacturing industries
    0:18:24 where the elbows are sharp
    0:18:27 and no firm wants to do their rivals any favors
    0:18:30 by talking about suppliers and deal structures.
    0:18:33 – But I know with Armani specifically
    0:18:36 rather than have just a simple licensing deal
    0:18:39 where one assumes the eyewear maker comes to the designer
    0:18:43 and says, “We think these three frames look like you.”
    0:18:45 And the designer’s like, “Yes.”
    0:18:46 And then they go and make them
    0:18:47 and they stamp the name on it.
    0:18:49 This was different.
    0:18:54 They created a company for Armani to sell their glasses
    0:18:58 and had this very intimate involvement of Armani at the time
    0:19:03 to really articulate like what is the eyewear vision of Armani?
    0:19:07 And that’s where it takes off.
    0:19:09 They start making these kinds of deals with other designers,
    0:19:11 some of the other eyewear companies
    0:19:14 that still had a lot of money in power in the system
    0:19:16 start to make similar deals.
    0:19:18 You just get a real shift in the structure.
    0:19:20 – You heard Glasscock mentioned there
    0:19:22 when some of the other eyewear companies
    0:19:25 still had a lot of money and power.
    0:19:28 Luxotica and now Eselor Luxotica
    0:19:32 have consolidated much of the industry’s money and power.
    0:19:35 It is by far the biggest eyewear firm in the world
    0:19:39 in terms of properties, revenues and employees.
    0:19:42 They’ve got locations around the globe and everywhere they go
    0:19:45 they control as many links in the industry as they’re able
    0:19:48 from the optometrists who give eye exams
    0:19:51 to the labs that make lenses
    0:19:53 and the stores where glasses are sold
    0:19:57 even the optical insurance as I mentioned earlier.
    0:20:01 By the way, Eselor Luxotica still makes Armani branded glasses
    0:20:05 along with glasses designed with Ferrari, Prada, Tiffany,
    0:20:08 Tori Birch, they also make licensing deals
    0:20:10 with people like Roger Federer.
    0:20:13 You might think these high profile luxury glasses
    0:20:18 would drive most of the profits at Eselor Luxotica
    0:20:19 but that is not the case.
    0:20:22 Here again is the industry analyst Cedric Rossi.
    0:20:25 It’s a bit counterintuitive but Rayban has by far
    0:20:28 the most profitable brand in the portfolio.
    0:20:30 Rayban is primarily a sunglass brand.
    0:20:34 They were first made in the 1930s by Bouch and Long,
    0:20:36 an American firm that’s best known today
    0:20:38 for their contact lenses.
    0:20:40 Raybans were designed to help airline pilots
    0:20:42 fight the glare of the sun.
    0:20:44 They had a long heyday.
    0:20:46 Maybe you remember Tom Cruise wearing them
    0:20:49 and Risky Business but by the 1990s
    0:20:52 they were cheaply made and you could buy a pair
    0:20:54 for $19 at a gas station.
    0:20:58 But then Luxotica bought Bouch and Long’s sunglass business
    0:21:02 and repositioned Rayban as a luxury brand.
    0:21:06 Today, it is considered the biggest eyewear brand
    0:21:07 in the world.
    0:21:10 And why are Raybans so profitable?
    0:21:13 – Because the industrial process is quite easy.
    0:21:15 It’s just a matter of putting acetate
    0:21:16 and plastic into molds.
    0:21:19 And so you can produce hundreds and hundreds
    0:21:21 of pairs every hour.
    0:21:23 – In other words, Raybans are pretty basic.
    0:21:26 Other luxury brands are trickier to manufacture
    0:21:30 with different materials and more complex designs.
    0:21:33 But there’s another reason why a brand that is owned
    0:21:36 by Eselor Luxotica like Rayban is more profitable
    0:21:40 than a brand they license like Ferrari.
    0:21:42 – You need to share the profit because it’s a license.
    0:21:45 So you need to pay royalties and a marketing contribution
    0:21:47 back to the licensor.
    0:21:49 – How substantial are those royalties?
    0:21:53 – It ranges from five to 15% of revenues
    0:21:54 generated by the license.
    0:21:56 And then you have a marketing contribution
    0:22:00 that is also paid by Eselor Luxotica to licensors
    0:22:03 and it can be seven to 12 or 13% of sales.
    0:22:04 – I see.
    0:22:07 And how do those fees compare to other luxury licensing
    0:22:09 that isn’t eyewear?
    0:22:11 – The one that is pretty much similar to eyewear,
    0:22:12 I would say fragrances.
    0:22:14 You have a very good example
    0:22:16 which has a significant share in the US,
    0:22:18 which is a French company called Interparfin.
    0:22:20 You also have L’Oréal.
    0:22:22 And actually, royalty conditions are pretty much similar
    0:22:23 to eyewear.
    0:22:26 – Rossi says there is another reason
    0:22:28 why these high-end licensing deals
    0:22:31 are less profitable for Eselor Luxotica.
    0:22:34 – The human intervention on high-end frames
    0:22:36 sometimes is higher.
    0:22:39 There are a lot of steps within the industrial process.
    0:22:42 So that’s why sometimes for a pair of Chanel
    0:22:43 or a pair of Tiffany’s,
    0:22:46 the profit margin is lower than for Eban or Oakley.
    0:22:49 – Oakley is another sunglass brand
    0:22:52 with its own interesting Luxotica history.
    0:22:54 Luxotica was founded in 1961
    0:22:58 by Leonardo Del Vecchio in Agordo, Italy.
    0:23:01 He was one of five children who had grown up very poor
    0:23:03 when their father died,
    0:23:06 Leonardo had to be sent to an orphanage.
    0:23:11 He became at age 14 an apprentice to a metal engraver
    0:23:13 and he later worked on eyeglass frames.
    0:23:16 He opened his own workshop in his 20s.
    0:23:19 Del Vecchio was, as evidenced by the Ray-Ban
    0:23:22 and Armani stories we’ve already heard,
    0:23:24 a sharp and aggressive operator
    0:23:27 with a huge appetite for growth.
    0:23:32 In 2001, he bought the big US retailer Sunglass Hut.
    0:23:37 At the time, Oakley was the hottest name in sunglasses.
    0:23:39 According to reporting in The Guardian,
    0:23:43 one of Del Vecchio’s first moves with Sunglass Hut
    0:23:48 was to require all his suppliers to lower their prices.
    0:23:50 Oakley declined.
    0:23:55 Soon after, Sunglass Hut stopped selling Oakley sunglasses
    0:23:59 and Luxotica began making Ray-Bans
    0:24:04 that looked an awful lot like Oakley’s signature sunglasses.
    0:24:06 There was a legal fight,
    0:24:09 there was a big drop in Oakley’s share price
    0:24:12 and in the end, Luxotica bought Oakley
    0:24:15 for around $2 billion.
    0:24:18 Leonardo Del Vecchio had won again.
    0:24:21 Del Vecchio died in 2022.
    0:24:24 His New York Times obituary by Jonathan Candel
    0:24:26 is absolutely fascinating
    0:24:29 and was a big inspiration for this series.
    0:24:34 The empire Del Vecchio left behind is massive.
    0:24:36 Given the nature of this industry,
    0:24:40 it’s not easy to come up with accurate market share numbers.
    0:24:44 Cedric Rossi says S.L.O.R. Luxotica owns roughly a quarter
    0:24:47 of the global market in prescription eyeglasses
    0:24:49 and more than half the market in lenses.
    0:24:54 Do numbers like these start tipping into the realm of monopoly?
    0:24:58 When S.L.O.R. and Luxotica merged in 2018,
    0:25:00 neither the Federal Trade Commission in the US
    0:25:05 nor the European Commission in the EU stopped them.
    0:25:06 Was that a mistake?
    0:25:08 – It obviously should have been blocked.
    0:25:10 – It’s coming up after the break.
    0:25:13 I’m Stephen Dubner and this is Freakonomics Radio.
    0:25:27 S.L.O.R. Luxotica is the biggest eyewear company in the world
    0:25:30 and they practice extreme vertical integration.
    0:25:33 Does that make it a monopoly?
    0:25:35 What is a monopoly anyway?
    0:25:36 – I think it’s a loose definition.
    0:25:39 You know what, when you see it, they have a lot of market power.
    0:25:41 They can charge prices well above their costs
    0:25:44 and not a lot of competition for what they’re doing.
    0:25:49 – That is Ryan McDevitt, an economist at Duke University.
    0:25:51 – I focus on a field called industrial organization.
    0:25:53 It’s kind of a clunky way of saying,
    0:25:55 I look at how firms compete with one another,
    0:25:56 how markets are set up,
    0:25:58 and that plays into things like regulation.
    0:26:00 How do we regulate monopolies in the United States?
    0:26:02 So antitrust is a part of my field.
    0:26:05 – When McDevitt looks at the eyewear industry,
    0:26:07 does he see a monopoly?
    0:26:09 – Not at all if we talk about corrective vision broadly.
    0:26:11 I mean, no one has a monopoly on eyeglasses.
    0:26:14 It’s a commodity, it’s been around for hundreds of years.
    0:26:18 But if you look at narrower segments, luxury eyeglasses,
    0:26:20 then some like Luxotica, they do have some market power.
    0:26:24 – Can you describe the size of their market power?
    0:26:25 – Luxotica is something like
    0:26:27 a hundred billion dollar market cap company.
    0:26:29 And when you’re selling pretty much just eyeglasses,
    0:26:31 that seems like a very large number to me.
    0:26:33 There’s that much money to be made in eyeglasses.
    0:26:35 And it’s something like 25 billion in revenue,
    0:26:37 maybe five billion in profits.
    0:26:39 So they’re doing very, very well.
    0:26:41 – Luxotica is doing so well
    0:26:44 that McDevitt has used the firm as a case study
    0:26:46 for his MBA students.
    0:26:48 – My first day of a business school class,
    0:26:50 we talk about value creation and capture.
    0:26:52 That’s the fundamental thing a company’s trying to do
    0:26:53 to make money.
    0:26:54 And they create value at Luxotica
    0:26:57 by offering choices to customers.
    0:26:59 If you think back, you know, in the ’50s and ’60s,
    0:27:01 it was a clunky medical device.
    0:27:04 Dorky black frames, revenge on the nerds,
    0:27:07 maybe $5 at the time to buy that, nothing special.
    0:27:09 And they realized that this could be
    0:27:10 more of a fashion accessory.
    0:27:12 Like you see throughout fashion,
    0:27:15 that people pay a premium for better looking eyewear.
    0:27:16 And that’s what they started to do.
    0:27:20 – If I were to ask you to give me a general number
    0:27:24 for Esolor Luxotica markup on glasses,
    0:27:26 can you put a number on that?
    0:27:28 – I’ve seen numbers as high as like 1,000%,
    0:27:30 just massive, massive markups.
    0:27:34 But if I had to do a little consulting exercise in my head
    0:27:36 like you do for a McKinsey or Bain interview,
    0:27:37 I would say something like,
    0:27:39 I can’t believe those things cost
    0:27:41 more than 20 bucks to manufacture.
    0:27:44 You’re probably retailing for about $500.
    0:27:48 And then along the way, you’re adding some cost.
    0:27:52 I would guess looking at relative cash flow to revenue,
    0:27:55 I would say it’s something like an 80% markup.
    0:27:58 – And how hard does that make your heartbeat
    0:27:59 as a business school professor?
    0:28:00 That’s a pretty good number.
    0:28:02 – This is very attractive.
    0:28:04 But if you’re gonna say, what should I go into?
    0:28:06 This is gonna be a tough industry to crack
    0:28:09 because they’ve dominated every step.
    0:28:10 They’ve done their homework.
    0:28:14 They are well-positioned to extract a lot of income
    0:28:16 from every step of the production process.
    0:28:20 – It does make you wonder,
    0:28:23 since S.L.O.R. Luxatica is such a giant
    0:28:25 in the global eyewear industry,
    0:28:30 why was the merger between S.L.O.R. and Luxatica not blocked?
    0:28:33 Regulators in the U.S. and Europe especially
    0:28:36 have been pushing back against over consolidation
    0:28:39 in various industries, particularly the tech sectors,
    0:28:41 because some critics feel that the consolidation
    0:28:45 has gotten really out of hand, critics like Tim Woo.
    0:28:49 – There was a collective delusion going on
    0:28:51 in antitrust in the 2010s,
    0:28:53 where everybody had drunk the Kool-Aid
    0:28:56 and convinced themselves that vertical mergers
    0:28:57 were never a problem.
    0:28:59 – Woo is a law professor at Columbia,
    0:29:02 who has worked in the Obama and Biden administrations
    0:29:05 on competition policy and antitrust.
    0:29:08 – We were crazy in the 2010s.
    0:29:10 Somehow we led S.L.O.R. by Trulia,
    0:29:13 we led S.L.O.R. by Streeties, we bought everybody,
    0:29:16 but the most egregious thing I think in that era
    0:29:19 is when we let Google buy Waze,
    0:29:21 the two leading mapping companies
    0:29:26 combining under one roof sounds like a merger to monopoly.
    0:29:29 Some of the reasoning was that Google is what you use
    0:29:31 when you wanna see what surrounds you,
    0:29:32 and Waze is what you use
    0:29:34 when you wanna figure out where you’re going.
    0:29:36 So they’re not really competitors.
    0:29:40 That was the level of logic that was going on in the 2010s.
    0:29:42 – That is some fine hair splitting.
    0:29:44 – That was a bad period for antitrust.
    0:29:45 – That was also a period during which many
    0:29:48 of the big tech platforms that many people
    0:29:50 are concerned about now were getting started.
    0:29:54 Had Google and Facebook started in a different era,
    0:29:55 like let’s say today,
    0:29:56 would it have been a very different outcome?
    0:29:58 – I think it’d be a very different story.
    0:30:02 The 2010s is when the tech platforms consolidated
    0:30:04 their power by buying their competitors
    0:30:06 with no government intervention.
    0:30:09 I went to the study of the tech mergers
    0:30:12 from about ’08 till 2018,
    0:30:17 and there were in that period over 1,000 tech acquisitions
    0:30:21 and a grand total of one challenge from the government
    0:30:24 which led to a consent decree, not even blocking.
    0:30:25 – What was that one?
    0:30:28 – That was airline booking software,
    0:30:29 which Google was buying.
    0:30:32 So they made sure that Google would share it
    0:30:35 with a few people, but everything else free pass.
    0:30:38 – Do you think the SLR Luxotica merger
    0:30:40 shouldn’t have been allowed at least in the U.S.
    0:30:42 and maybe even in Europe?
    0:30:43 – It obviously should have been blocked.
    0:30:45 That was the byproduct of another era,
    0:30:46 and we look back at that and like,
    0:30:48 how did you let that one go?
    0:30:50 Imagine if in the luxury bag industry
    0:30:53 like Hermé and Louis Vuitton,
    0:30:54 if they were all actually the same company,
    0:30:56 that’s kind of the trick here with Luxotica
    0:30:58 is they owned all the brands people think
    0:31:01 are competing brands like Ray-Ban and Oakley
    0:31:04 and they sort of mimic competition.
    0:31:11 – Tim Wu was a key architect of a 2021 Biden initiative
    0:31:14 called Executive Order on Promoting Competition
    0:31:16 in the American Economy.
    0:31:20 It argues that many industries have become too concentrated
    0:31:21 and it pushes the Department of Justice
    0:31:24 and the Federal Trade Commission to be more aggressive
    0:31:27 in enforcing antitrust laws.
    0:31:32 In over 75% of U.S. industries, the White House noted,
    0:31:34 a smaller number of large companies
    0:31:35 now control more of the business
    0:31:37 than they did 20 years ago.
    0:31:40 These kinds of numbers support the argument
    0:31:45 that the U.S. economy has become a winner-take-most economy
    0:31:48 with leverage begetting more leverage.
    0:31:51 Tim Wu published a book about this in 2018
    0:31:53 called The Curse of Bigness,
    0:31:56 Antitrust in the New Gilded Age.
    0:31:58 In the late 19th century, where it all starts,
    0:32:00 there was a period where everyone thought
    0:32:02 that corporations could do no wrong
    0:32:04 and the trust movement built itself
    0:32:06 into something quite powerful.
    0:32:09 – Would you define what you’re talking about back then
    0:32:12 by a trust because it’s probably not what most people think
    0:32:14 when they hear that word today.
    0:32:16 – A trust is an old-fashioned word for a monopoly.
    0:32:20 No, a trust is something invented by standard oil.
    0:32:24 It was a device by which all the companies
    0:32:26 in the industry would agree to become one company.
    0:32:31 The trust was the byproduct of an industry-wide merger.
    0:32:33 – And was there any federal government oversight
    0:32:36 or interest in that notion at the time?
    0:32:40 – Not until they passed the Sherman Act in 1890.
    0:32:45 There’s these long cycles of monopoly frustration or anger.
    0:32:48 And then after a while, it goes too far
    0:32:49 and then people are like, well,
    0:32:51 maybe private industry is not too bad.
    0:32:55 The high points of distrust in private industry
    0:32:59 were the 1910s, and that’s Theodore Roosevelt,
    0:33:01 Taft and Woodrow Wilson.
    0:33:06 The late 1930s and ’40s and ’50s, which is FDR.
    0:33:08 And Eisenhower, kind of surprisingly,
    0:33:10 was a big antitrust guy.
    0:33:13 And then the ’70s, another big period of suspicion
    0:33:16 under Nixon, which might seem a little surprising.
    0:33:18 And then you go into this long winter
    0:33:21 from the ’80s onwards, coinciding with Reagan
    0:33:25 and movies like Wall Street and Greed is Good, kind of period.
    0:33:28 That lasts about 40 years.
    0:33:30 I think we’re in the core of a major
    0:33:33 anti-monopoly revitalization right now
    0:33:35 in the Biden administration.
    0:33:38 – Reading The New York Times and even the Wall Street Journal,
    0:33:40 one gets the distinct impression that, yes,
    0:33:41 as you just said, the Biden administration
    0:33:44 is all in on antitrust.
    0:33:48 And you were part of that movement for a while in DC.
    0:33:53 – But how much effect is that movement actually having?
    0:33:57 I mean, there’s calls for breakups of big tech firms.
    0:34:00 There’s calls for less consolidation
    0:34:01 in a variety of industries.
    0:34:04 But I’m seeing very little actual effect.
    0:34:05 Is there something I’m missing?
    0:34:08 – Yes, you’re not paying attention to mergers,
    0:34:12 which are the key of economic consolidation.
    0:34:14 Collectively, the FTC and justice
    0:34:18 have blocked over 40 mergers, maybe over 50 mergers
    0:34:19 at this point.
    0:34:22 The greater issue is the deterrence effect.
    0:34:24 It’s a totally different environment
    0:34:27 right now versus say, 2010.
    0:34:29 I think in an earlier era,
    0:34:31 Facebook would have maybe tried to buy Snapchat
    0:34:34 or TikTok, but the merger situation,
    0:34:35 if you ask anyone on Wall Street,
    0:34:37 they say, yeah, it’s a different story.
    0:34:39 We know our mergers can be blocked.
    0:34:42 We’re also in the, we meaning my former employer,
    0:34:44 the federal government, is in the midst
    0:34:48 of trying to do something, break up, tame,
    0:34:50 almost every single big tech company,
    0:34:53 Amazon, Apple, Facebook, Google.
    0:34:55 Those cases aren’t finished.
    0:34:56 The remedies aren’t done.
    0:35:00 But I think that’s gonna have a long-term effect.
    0:35:03 The way AT&T and IBM have gone,
    0:35:07 I wouldn’t say the economy has become FDR-advised.
    0:35:10 But to say nothing’s happening, I think it’s totally wrong.
    0:35:14 – There is a brand new piece of evidence
    0:35:17 for Tim Wu’s argument that the current administration
    0:35:19 is more aggressive than in the recent past.
    0:35:23 Earlier this month, the FTC voted to block a merger
    0:35:25 between the mattress maker, Tempur Sealy,
    0:35:28 and the retailer, Mattress Firm.
    0:35:31 So how does Wu think about competition
    0:35:34 or the lack thereof in the eyeglass industry?
    0:35:36 In the New York Times obituary
    0:35:39 of Luxottica founder, Leonardo Del Vecchio,
    0:35:43 Wu is quoted as calling the firm’s profit margins
    0:35:45 relatively obscene.
    0:35:49 I asked him if he stands by that characterization.
    0:35:52 – Yeah, I think relatively obscene is a good one.
    0:35:55 The margins, even by luxury good standards, are obscene.
    0:35:59 I also would add that even relatively more normal,
    0:36:02 not the high-end luxury, but the medium luxury eyeglasses
    0:36:05 are also extraordinarily expensive.
    0:36:07 And they have a well-armored Citadel
    0:36:09 that keeps the prices up.
    0:36:12 It has to compare itself with other obscene margin takers
    0:36:14 like the pharmaceutical drug industry.
    0:36:15 At least they have the defense
    0:36:17 that they are improving their products.
    0:36:20 – And I care, you’re saying can’t make that argument.
    0:36:21 – I mean, do we really think glasses
    0:36:24 are any different now than 10 years ago?
    0:36:26 Maybe in the lenses, but the frames?
    0:36:28 I don’t know, if they have, I’d like to hear it.
    0:36:30 – I mean, I’ve asked this question
    0:36:32 and I am told that the technology of lenses
    0:36:35 is pretty good and continues to get better.
    0:36:37 – It actually reminds me a little bit
    0:36:40 of the aerospace industry and airplanes.
    0:36:42 The aerospace industry is constantly saying
    0:36:43 they’ve made all these enormous innovations,
    0:36:47 but if you compare an airplane in the 1960s
    0:36:50 and a computer in the 1960s, and you look at today,
    0:36:52 I mean, the computers have undergone
    0:36:54 several exponential changes.
    0:36:57 The airplane is pretty much the same.
    0:36:59 I don’t want to say there’s been no innovation,
    0:37:01 but there is a difference between these disruptively
    0:37:03 big leap industries and the ones
    0:37:05 that incrementally improve their products.
    0:37:08 I remember an internal executive saying
    0:37:11 that the cost of eyeglasses, you know,
    0:37:14 the frames and the plastic and everything,
    0:37:17 it tops out at about $20 for the best versions of them.
    0:37:20 And then you’re able to sell them for hundreds of dollars.
    0:37:21 They throw brands onto them
    0:37:24 and sometimes much as, you know, 800 bucks.
    0:37:27 – When you look at all the gigantic industries
    0:37:31 in the world and when you look at the financialization
    0:37:35 of just about everything, is the eyeglass industry
    0:37:36 even worth worrying about?
    0:37:41 I mean, it’s relatively small and a lot of eyeglasses,
    0:37:42 the vast majority in this country,
    0:37:45 are sold for relatively low prices
    0:37:47 at places like Walmart and Costco.
    0:37:49 So couldn’t you argue that, you know,
    0:37:52 the market is just fine, that even though Luxotica
    0:37:55 has a big tie-up with Eselor,
    0:37:56 that there’s still enough competition
    0:38:00 and affordable pricing to not worry so much about,
    0:38:04 or would you rather look at the industry as an example
    0:38:05 of, yeah, if you overlook this
    0:38:08 and you overlook the next 10 and then they get bigger
    0:38:10 and bigger and they cause a real fundamental,
    0:38:14 structural, economic and governmental problem.
    0:38:17 – Yeah, I think it’s ridiculous to ignore an industry
    0:38:20 ’cause it’s not as big as like big tech.
    0:38:22 You need to have a policy that is serious
    0:38:26 about market power wherever those problems may occur.
    0:38:28 If it’s like concrete mixers in New York City,
    0:38:31 it may be just millions, billions of dollars,
    0:38:33 but, you know, it affects housing prices.
    0:38:36 Everyone’s feeling the pinch a little bit right now
    0:38:38 with prices and eyeglasses are something
    0:38:39 a lot of people need.
    0:38:42 So not just symbolism, but I think government needs
    0:38:44 to be serious about every industry
    0:38:48 that has illegitimate, illegal market power
    0:38:50 and not say, well, these guys are only a couple billion
    0:38:52 dollars, so let that one ride.
    0:38:55 – You say illegitimate, illegal, but it was legal.
    0:38:57 Maybe illegitimate in your eyes,
    0:38:59 but I mean, this was approved.
    0:39:02 – It wasn’t approved, they just didn’t act on it.
    0:39:04 And I think maybe we should undo it.
    0:39:07 The fact they didn’t bring suit
    0:39:08 doesn’t mean it wasn’t illegal.
    0:39:11 The Clayton Act says that mergers
    0:39:14 that substantially less in competition
    0:39:15 are a violation of the law.
    0:39:18 And we’ve started looking back at some of the things
    0:39:21 we let go in the 2010s and say, you know,
    0:39:23 the law was actually originally written
    0:39:25 to look backwards, not forwards.
    0:39:26 I don’t know if many people know this,
    0:39:27 the government is trying to undo
    0:39:29 the Instagram Facebook merger.
    0:39:31 And I think it’s about time to look back
    0:39:32 at some of the other mergers.
    0:39:34 Keep your eye on Ticketmaster Live Nation,
    0:39:35 they might try and undo that too.
    0:39:41 – Indeed, not long after we spoke with Tim Wu,
    0:39:43 the Justice Department and 30 state
    0:39:47 and district attorneys general sued Ticketmaster
    0:39:49 and its parent company, Live Nation,
    0:39:53 for quote, monopolization and other unlawful conduct
    0:39:55 that thwarts competition in markets
    0:39:57 across the live entertainment industry.
    0:40:02 Should this lawsuit make Estelor Luxatica nervous?
    0:40:04 The fact is that the eyewear industry
    0:40:07 isn’t as concentrated as the live event industry.
    0:40:10 And it’s also the case that Estelor Luxatica
    0:40:12 has a new challenger.
    0:40:16 So far, they’ve only got 2% of US market share,
    0:40:18 but they haven’t been around long
    0:40:20 and they are growing fast.
    0:40:23 – When we had this idea to sell eyewear
    0:40:27 for a fraction of the cost, people love that idea.
    0:40:29 Low cost, but high style.
    0:40:33 After the break, the eyeglass disruptor, Warby Parker.
    0:40:36 I’m Stephen Dubner, this is Freakonomics Radio.
    0:40:37 We’ll be right back.
    0:40:46 When we were speaking with Tim Wu
    0:40:50 about the ebbs and flows of antitrust fervor in the US,
    0:40:53 he mentioned one change that did intersect
    0:40:55 with the eyeglass industry.
    0:40:57 In the ’70s, which was a period
    0:41:01 of very pronounced anti-monopoly activity,
    0:41:03 even under Nixon, the government decided
    0:41:05 that it could improve the industry,
    0:41:08 maybe encourage more competition.
    0:41:11 If you could get a prescription from your eye doctor,
    0:41:13 which you could then take to somebody else
    0:41:15 to make your eyeglasses with,
    0:41:18 the government decided that they wanted to split
    0:41:23 the business of eye examinations from selling eyeglasses.
    0:41:28 And Warby Parker is the direct beneficiary of that rule.
    0:41:30 Warby Parker is the eyeglass startup
    0:41:32 we mentioned right before the break.
    0:41:34 It may have taken a couple of decades,
    0:41:36 and it may have taken the invention of the internet,
    0:41:38 but they realized that eyeglasses
    0:41:41 don’t actually cost very much money to make,
    0:41:45 so they could sell for a fraction of the current price.
    0:41:47 I’m very dissatisfied with the state of competition
    0:41:50 in eyeglasses, but I have to say that Warby Parker
    0:41:52 is an exception to that dissatisfaction,
    0:41:55 and I think is an example of what we should be doing.
    0:41:58 – Okay, so let’s hear from them directly.
    0:41:59 – Neil Blumenthal, I’m the co-founder
    0:42:01 and co-CEO of Warby Parker.
    0:42:03 – Okay, Dave, I have a feeling it might sound similar
    0:42:04 with a different name.
    0:42:08 – I’m Dave Gilboa, co-founder and co-CEO of Warby Parker.
    0:42:11 – Gilboa, Blumenthal, and two other founders,
    0:42:13 Andrew Hunt and Jeff Rader,
    0:42:14 were all getting their MBAs
    0:42:17 at the University of Pennsylvania’s Wharton School
    0:42:19 when they started Warby Parker.
    0:42:21 Through personal experience,
    0:42:23 they had come to think that eyeglass prices
    0:42:25 were in general exorbitant,
    0:42:28 and they saw a business opportunity.
    0:42:31 Warby Parker sought to distinguish themselves in two ways.
    0:42:34 They would sell glasses strictly online
    0:42:37 and at low prices, starting at $95.
    0:42:40 – We were trying to introduce a little more transparency,
    0:42:43 a little more simplicity into the market.
    0:42:44 – That’s Blumenthal.
    0:42:47 – When you walk into your typical optical shop,
    0:42:49 there’s no price tags.
    0:42:50 You have no idea what a frame costs.
    0:42:53 You have no idea what the lenses cost,
    0:42:55 and you’re constantly getting upsold.
    0:42:57 Oh, you should get this lens material
    0:42:58 instead of this other one.
    0:43:00 You should get this lens coating.
    0:43:05 And consumers have no idea about the differences.
    0:43:06 When there’s information asymmetry,
    0:43:08 that’s not good for consumers.
    0:43:10 So we wanted to simplify things.
    0:43:15 Hey, $95 acetate frames with polycarbonate lenses
    0:43:18 with anti-reflective, anti-scratch coatings.
    0:43:20 These are premium lenses already,
    0:43:22 and it’s basically all that you need
    0:43:25 to be super happy to have great visual acuity
    0:43:27 and to look great.
    0:43:29 – So if you are SLR Luxatica,
    0:43:32 how do you defend routinely pricing glasses
    0:43:36 at $800, $1,000, $1,200?
    0:43:39 – You’d probably have to get their perspective,
    0:43:41 but when we spoke to consumers,
    0:43:44 often they would allude to the brand name
    0:43:46 and the logo that was on the frames.
    0:43:48 Most consumers didn’t realize
    0:43:52 that eyewear was made by somebody who was paying a fee
    0:43:54 just to put the logo on it.
    0:43:56 – But how much could that licensing fee be
    0:43:58 on a pair of, let’s say $1,000 glasses?
    0:44:01 Maybe $100, $200, maybe?
    0:44:03 – Exactly, probably 10 to 20%.
    0:44:06 – But there’s still a lot of other markup there then, yes?
    0:44:09 – Exactly, which is what really attracted us
    0:44:10 to the market.
    0:44:12 When we looked at these unit economics–
    0:44:13 – When you say unit economics,
    0:44:14 you mean what it actually costs
    0:44:16 to make a pair of frames and a pair of lenses?
    0:44:19 – Right, they were being sold for about 10x
    0:44:23 the cost to manufacture, if not more, sometimes 20x.
    0:44:27 And what we found was that there was wholesale markup
    0:44:30 and then a retail markup that was often three to five x.
    0:44:32 And that’s what made it so attractive to us
    0:44:35 to design our own frames, manufacture them,
    0:44:36 and then sell direct to customers.
    0:44:38 ‘Cause we would just take that retail markup
    0:44:40 and pass it on to consumers
    0:44:43 ’cause there’s just one less hand in the cookie jar.
    0:44:44 And actually a funny story
    0:44:48 when we were thinking about our pricing strategy,
    0:44:52 we thought we could sell our glasses at $45.
    0:44:54 And we went to the head of the marketing department
    0:44:55 at Wharton who was a pricing expert.
    0:44:57 – Can I take a guess what that person said?
    0:45:00 That’s too cheap, people won’t think they’re any good.
    0:45:02 – Exactly, and that didn’t even cross our minds.
    0:45:04 We thought, lower price better.
    0:45:06 We went into his office,
    0:45:09 we had a beautiful PowerPoint presentation.
    0:45:12 We said, we’re gonna transform the optical industry,
    0:45:15 we’re gonna charge $45 for $500 glasses.
    0:45:17 And he said, sorry, that’s just not gonna work.
    0:45:18 And we’re like, wait,
    0:45:20 we didn’t even show you all these graphs.
    0:45:21 They all go up and to the right.
    0:45:24 He said, it’s outside the realm of believability
    0:45:26 that you could sell the same quality
    0:45:27 for a 10th of the price.
    0:45:31 – Were you worried that even at $95,
    0:45:34 your brand would be perceived as not good enough medically
    0:45:35 if they were that cheap?
    0:45:36 – It’s certainly something
    0:45:38 that we spent a lot of time discussing.
    0:45:42 We surveyed a lot of potential eyewear consumers
    0:45:44 and found that at very low price points,
    0:45:47 there was quite a bit of skepticism around the quality
    0:45:50 and the durability of those products.
    0:45:53 We found that the propensity to buy increased
    0:45:57 until we reached $100 and then kind of fell off the cliff.
    0:46:00 When we landed on $95 instead of $45,
    0:46:02 there was still a bit of skepticism.
    0:46:05 But then when we started getting our initial prototypes
    0:46:09 in and asking our friends and potential customers
    0:46:11 to try on the glasses,
    0:46:13 they were blown away by the quality.
    0:46:15 And that’s when kind of the light bulbs went off
    0:46:17 and said, we really need a mechanism
    0:46:21 just to get as many glasses on people’s faces as possible.
    0:46:23 And that’s when we came up with the home try-on.
    0:46:24 – We came up with this idea
    0:46:27 where we would ship people five pairs of glasses.
    0:46:29 They would have five days to try it on at home.
    0:46:30 And then if there was a pair they wanted,
    0:46:33 we’d put in prescription lenses and send it to them.
    0:46:37 The Warby Parker business model has worked.
    0:46:40 The company went public in 2021.
    0:46:43 Their market cap today is roughly $2 billion.
    0:46:46 The starting price of their glasses is still $95,
    0:46:50 but they have gone well beyond their internet beginnings.
    0:46:52 By the end of 2024,
    0:46:54 they’ll have nearly 300 brick and mortar stores
    0:46:56 in the US and Canada.
    0:46:59 They also give away millions of eyeglasses for free
    0:47:00 to people who can’t afford them.
    0:47:05 As do many eyewear companies, including Esselora Luxotica.
    0:47:06 – We think that it’s nuts
    0:47:08 that 800 years since glasses were invented
    0:47:12 that not every human being on the planet has access
    0:47:15 ’cause we know what it means to educational outcomes.
    0:47:18 We know what it means to economic outcomes.
    0:47:20 And it’s even more unforgivable
    0:47:23 that in as wealthy of a country as the United States
    0:47:25 that there are Americans that don’t have the glasses
    0:47:27 they need to thrive.
    0:47:28 – The fact that you’re able to give away so many
    0:47:32 suggests that even $95 affords you plenty of room, yes?
    0:47:35 – We do have some healthy margins.
    0:47:37 – Can you discuss your margins overall?
    0:47:38 That must be public, yeah.
    0:47:41 – We just announced our Q1 earnings
    0:47:44 and our gross margins were 56.8%.
    0:47:45 – Wow.
    0:47:48 – And that includes costs associated with our optometrists
    0:47:51 and store buildouts and depreciation.
    0:47:53 And so it’s kind of a reflection
    0:47:56 that within this category we can offer prices
    0:47:59 that are a fraction of what others are charging
    0:48:01 and still maintain healthy margins.
    0:48:04 – As I mentioned earlier,
    0:48:07 Warby Parker only has around 2%
    0:48:09 of the US eyewear market so far.
    0:48:12 But Cedric Rossi, the French industry analyst
    0:48:14 likes what the company is doing.
    0:48:17 – I would say Warby Parker came up with a business model
    0:48:20 that is a little bit like a steel or lexotica proof.
    0:48:23 They don’t want to compete directly with a steel or lexotica
    0:48:25 but they found a very interesting niche
    0:48:28 which is a transparent price offering,
    0:48:30 eyeglasses sold at a fair price,
    0:48:33 but also with a huge fashion aspect.
    0:48:36 – The original appeal though of Warby Parker
    0:48:37 was also that it was online.
    0:48:40 So they now have a lot of brick and mortar stores
    0:48:43 which are as we know, much more expensive.
    0:48:46 What do you think of that strategy for a company
    0:48:48 that’s only got 2% of US market share
    0:48:51 trying to compete with a giant like S-Lore lexotica?
    0:48:54 – But don’t forget that you have still a 47%
    0:48:57 of the eyewear market that is generated
    0:48:59 by customers age 55 plus.
    0:49:00 – Oh, wow.
    0:49:02 – This customer base is not very familiar
    0:49:04 with buying eyeglasses online.
    0:49:07 First of all, Warby Parker also found out
    0:49:10 that even the younger generations,
    0:49:12 if you want to buy simple prescription glasses
    0:49:15 when you are just affected by myopia,
    0:49:17 then it’s very easy to download your prescription
    0:49:19 and to buy eyeglasses online.
    0:49:22 But as soon as it’s starting to be more complex,
    0:49:27 it’s almost impossible to have a 100% online shopping journey.
    0:49:29 As soon as they wanted to sell
    0:49:31 more complex prescription lenses,
    0:49:34 they came up with the decision to open stores.
    0:49:37 – What market share would you expect Warby Parker
    0:49:40 to have in the US in, let’s say, five years?
    0:49:42 – They can at least double that share.
    0:49:43 Last year, they started to invest
    0:49:45 into the progressive lens category,
    0:49:47 which is quite new for them.
    0:49:50 – Okay, progressive lenses combine distance and close-up.
    0:49:54 That is by nature an older consumer, yes?
    0:49:55 – Exactly, because typically,
    0:49:57 you start wearing progressive lenses
    0:50:00 where you are affected by presbyopia,
    0:50:02 starting at 40 years old plus.
    0:50:04 So that’s also the beauty of this business.
    0:50:08 You cannot escape from presbyopia eventually.
    0:50:13 – Warby Parker has been branching out in other ways too,
    0:50:16 including some in-house manufacturing
    0:50:18 to eliminate yet another middleman.
    0:50:20 They say they want to become
    0:50:22 a holistic vision care company,
    0:50:25 which sounds a bit like
    0:50:29 the super vertically integrated S-Lore Luxatica.
    0:50:33 And what do the Warby Parker founders think of S-Lore Luxatica?
    0:50:35 – They’ve built a beautiful business.
    0:50:38 The lens technology, the lens production,
    0:50:42 the optical labs, the frame production,
    0:50:46 the brand licensing, the retailing and distribution,
    0:50:50 the vision insurance to drive people in,
    0:50:55 software that they sell to third-party optical labs,
    0:50:58 the software that they sell to other retailers
    0:51:01 and independent optometric practices,
    0:51:04 the equipment that they also sell.
    0:51:06 It’s super impressive what they’ve built over decades.
    0:51:09 – I have to say, Neil, I heard in your voice
    0:51:12 as you were describing this intense vertical integration
    0:51:15 of S-Lore Luxatica, a certain level of admiration.
    0:51:18 Do you have similar aspirations?
    0:51:21 Would you like to be the S-Lore Luxatica
    0:51:25 of the year 2035 or 2045?
    0:51:26 – I think there’s…
    0:51:27 – Although now that I ask the question,
    0:51:29 I realize it may be dangerous to ask someone to admit
    0:51:32 that they want to become a near monopolist, but anyway.
    0:51:36 – You know, the MBA in me admires the business, no doubt,
    0:51:41 admires the founder of Luxatica, Leonardo Del Vecchio,
    0:51:44 is one of the world’s best entrepreneurs.
    0:51:49 He was incredibly ambitious and started with nothing
    0:51:51 and built one of the biggest companies in the world
    0:51:53 in any category.
    0:51:55 They’ve done that largely through acquisition
    0:51:59 and consolidation and they’ve leveraged their scale
    0:52:03 to drive really meaningful profits for their company.
    0:52:06 We believe that we can continue to invest
    0:52:10 in our own brand without requiring acquisitions
    0:52:13 and consolidation and we believe
    0:52:16 that we can deliver very healthy margins
    0:52:20 while leaving some extra dollars in our customer’s pocket.
    0:52:23 – I would guess, but please correct me if I’m wrong,
    0:52:25 that a firm like yours, Warby Parker,
    0:52:28 has benefited at least on one dimension.
    0:52:32 They drove the prices of eyeglasses really high
    0:52:36 and established a floor that was so far
    0:52:39 above what was realistic from the producer’s side
    0:52:42 that it left an awful lot of room for you.
    0:52:45 So you must be kind of grateful for that, yeah?
    0:52:47 – Absolutely, you can’t be a disruptor
    0:52:49 if there’s not an incumbent.
    0:52:54 – Coming up next time, part two,
    0:52:57 let’s not forget that behind every pair of eyeglasses
    0:52:59 is an eye doctor.
    0:53:01 – An eyeball fixer-upper I used to like
    0:53:02 to consider myself.
    0:53:05 – We will hear about the global rise of myopia.
    0:53:08 – We’re gonna see half of the global population
    0:53:11 being myopic. – And the rise of China
    0:53:13 as an eyeglass market.
    0:53:17 (speaking in foreign language)
    0:53:21 – Also, the politics of runaway consolidation.
    0:53:23 – It’s a huge cost to the American situation
    0:53:25 to have corporate control of government.
    0:53:27 – That’s next time on the show.
    0:53:29 Until then, take care of yourself.
    0:53:32 And if you can, someone else too.
    0:53:35 Freakonomics Radio is produced by Stitcher and Renbud Radio.
    0:53:38 You can find our entire archive on any podcast app.
    0:53:41 Also at Freakonomics.com where we publish transcripts
    0:53:42 and show notes.
    0:53:45 This episode was produced by Morgan Levy.
    0:53:47 Our staff also includes Alina Cullman,
    0:53:50 Augusta Chapman, Dalvin Aboagy, Eleanor Osborne,
    0:53:52 Elsa Hernandez, Gabriel Roth, Greg Rippin,
    0:53:55 Jasmine Klinger, Jeremy Johnston, Julie Kanfer,
    0:53:58 Lyric Bowditch, Neil Caruth, Rebecca Lee Douglas,
    0:54:01 Sarah Lilly, Teo Jacobs, and Zach Lipinski.
    0:54:04 Our theme song is “Mr. Fortune” by the Hitchhikers.
    0:54:07 Our composer is Luis Guerra.
    0:54:09 As always, thank you for listening.
    0:54:11 (upbeat music)
    0:54:13 – It’s been a great experience.
    0:54:14 As I was saying to Morgan and Rip,
    0:54:16 that’s my first time in a recording studios.
    0:54:18 – I’m glad your first one wasn’t a bad one.
    0:54:20 – No, no, it was a very good experience.
    0:54:22 – Okay, au revoir.
    0:54:23 (camera clicks)
    0:54:26 (upbeat music)
    0:54:29 – The Freakonomics Radio Network,
    0:54:30 the hidden side of everything.
    0:54:34 (upbeat music)
    0:54:35 – Stitcher.
    0:54:37 (gentle music)
    0:54:47 [BLANK_AUDIO]

    A single company, EssilorLuxottica, owns so much of the eyewear industry that it’s hard to escape their gravitational pull — or their “obscene” markups. Should regulators do something? Can Warby Parker steal market share? And how did Ray-Bans become a luxury brand? (Part one of a two-part series.)

     

    • SOURCES:
      • Neil Blumenthal, co-founder and co-CEO of Warby Parker.
      • Dave Gilboa, co-founder and co-CEO of Warby Parker.
      • Jessica Glasscock, fashion historian and lecturer at the Parsons School of Design.
      • Neil Handley, curator of the British Optical Association Museum at the College of Optometrists.
      • Ryan McDevitt, professor of economics at Duke University.
      • Cédric Rossi, equity research analyst at Bryan Garnier.
      • Tim Wu, professor of law, science and technology at Columbia Law School.

     

     

  • EXTRA: People Aren’t Dumb. The World Is Hard. (Update)

    AI transcript
    0:00:08 Hey there, it’s Stephen Dubner, and this is a bonus episode of Freakonomics Radio.
    0:00:13 On this week’s regular episode, we traveled to Chicago to celebrate the legacy of Danny
    0:00:18 Kahneman, the Nobel Prize-winning psychologist who recently died at age 90.
    0:00:23 Kahneman and his research partner Amos Tversky produced a body of work that reshaped not
    0:00:26 just psychology, but economics as well.
    0:00:32 But they were working from the outside, on the inside, where a few economists who admired
    0:00:37 their work and took it even further into the realm of policymaking.
    0:00:40 You remember the Greek myth of Prometheus?
    0:00:45 He stole fire from the gods and gave it to humans.
    0:00:50 The economist Richard Thaler may be the Prometheus of economics.
    0:00:56 He took Kahneman and Tversky’s research insights and made them useful for governments, firms,
    0:00:58 and everyday people.
    0:01:04 But unlike Prometheus, who was punished by being chained to a rock where an eagle pecked
    0:01:13 out his liver every day for eternity, Thaler was rewarded with a Nobel Prize of his own.
    0:01:18 We spoke with him back in 2018, not long after he won the prize for his, quote, “contributions
    0:01:21 to behavioral economics.”
    0:01:26 I thought this conversation was well worth revisiting now, and I hope you’ll agree.
    0:01:34 So let’s begin, if you would, say your name and title.
    0:01:35 I’m Richard Thaler.
    0:01:40 I’m a professor at the Booth School of Business at the University of Chicago.
    0:01:46 I see technically you’re called the Charles R. Walgreen Distinguished Service Professor
    0:01:47 of Behavioral Sciences.
    0:01:48 Blah, blah, blah.
    0:01:49 Is that accurate?
    0:01:50 The Walgreen?
    0:01:51 Yeah, yeah, yeah.
    0:01:52 That’s accurate.
    0:01:54 But I didn’t want to take up the whole podcast.
    0:01:55 I understand.
    0:01:56 With my title.
    0:02:00 I was curious, however, I guess it’s an endowed chair or something, yeah, is that what that
    0:02:01 is?
    0:02:02 Yeah.
    0:02:08 In fact, it’s a chair that has only been held by three people, all of whom have won a certain
    0:02:09 prize.
    0:02:10 Interesting.
    0:02:14 More important, though, I want to know, as it’s bestowed by the Walgreen family, does
    0:02:17 the position come with a discount at Walgreen’s drugstores?
    0:02:21 There is no discount that I’ve been informed of.
    0:02:26 That said, you, and I guess the other two holders of said chair, you are about a million
    0:02:31 plus dollars richer since you were last on the show because I understand that you went
    0:02:34 out and won a Nobel Prize and that they give you some money with that.
    0:02:45 Now that you mentioned that, I won that prize in spite of your best efforts to prevent it.
    0:02:51 I think the show owes me an apology on the air.
    0:02:53 This is like sore winterdom we’re seeing.
    0:03:00 You win the Nobel Prize, having been on our show previously talking about potentially
    0:03:07 winning the Nobel Prize, and yet somehow you’re sour about our theoretically negative influence
    0:03:09 when in fact the outcome was positive.
    0:03:10 What kind of logic is that?
    0:03:13 Well, no, but it’s not the interview with me.
    0:03:20 It was the interview with Pair Stromberg, where you outed me.
    0:03:23 I’m sure you guys can find the tape.
    0:03:25 Yeah, we found the tape.
    0:03:29 So I’m actually not allowed to talk so much about what happens.
    0:03:31 The episode was called How to Win a Nobel Prize.
    0:03:36 Pair Stromberg is on the committee that awards the economics prize.
    0:03:40 As he pointed out, he couldn’t say too much about the secret process, but he said his
    0:03:46 committee was very reliant on the reports they commissioned on potential winners.
    0:03:51 Our goal is to keep on scanning the field of economic sciences broadly speaking.
    0:03:55 And to keep this up to date, we continuously send out these reports, basically scanning
    0:03:56 the field.
    0:04:01 So these are super helpful and they’re sent to really top people in these fields who put
    0:04:02 a lot of work into these reports.
    0:04:06 So this is probably our most important input, in a sense.
    0:04:09 And those reports remain confidential for 50 years, correct?
    0:04:10 Exactly.
    0:04:17 Richard Thaler tells me that he was asked many years ago to write a report.
    0:04:22 He was commissioned to write a report on the work of Daniel Kahneman and Amos Tversky,
    0:04:31 who you described me revealing I had written a long report on my friends Kahneman and Tversky
    0:04:33 back in the 1980s.
    0:04:36 And you told Pair, I had told you that.
    0:04:41 And I think his words were, oh, he shouldn’t have done that.
    0:04:43 I’m not sure he was allowed to say that, but fine.
    0:04:44 Oh, OK.
    0:04:50 Well, that’s his problem, not mine.
    0:04:59 This show owes me an apology for trying to block my slim chances and drive them to zero.
    0:05:02 Well, let me ask you just to entertain the counterfactual.
    0:05:06 Maybe it made that Nobel committee think, oh, that Thaler, he’s his own man.
    0:05:13 He identifies what he thinks are important ideas, and he feels it’s important to disseminate
    0:05:19 them, even at personal risk to himself and because, you know, well, it would be a line
    0:05:21 you could have used.
    0:05:27 You know, I was holding off on the lawsuit until it was clear I hadn’t won.
    0:05:34 But I think you’re safe now, Steve, so we can move beyond this.
    0:05:38 And move beyond this, we shall.
    0:05:43 Today on Freakonomics Radio, the unlikely rise of Nobel laureate Richard Thaler.
    0:05:46 Suppose they did all the stats on Thaler.
    0:05:49 No one would have drafted him.
    0:05:51 His big Hollywood moment, also unlikely.
    0:05:56 Well, here’s Dr. Richard Thaler, father of behavioral economics and Selena Gomez to
    0:05:57 explain.
    0:06:01 The rather humble purview of behavioral economics.
    0:06:08 It’s the sort of thing that your mother might say, really, you make a living doing that.
    0:06:13 And if behavioral economics were a bumper sticker, what would it say?
    0:06:16 So we don’t think people are dumb.
    0:06:19 We think the world is hard.
    0:06:36 This is Freakonomics Radio, the podcast that explores the hidden side of everything with
    0:06:45 your host, Stephen Dubner.
    0:06:50 Years ago, Richard Thaler became enthralled with a new line of research about decision-making
    0:06:54 by the psychologists Amos Tversky and Danny Kahneman.
    0:06:59 Thaler went on to collaborate with them, thereby helping to create the field now known as behavioral
    0:07:00 economics.
    0:07:04 To mainstream economists, Thaler’s research was often an irritant.
    0:07:10 He insisted that the elegant models they used to describe human economic activity were in
    0:07:16 fact grotesquely inelegant because they failed to factor in how real humans actually think
    0:07:19 and decide and behave.
    0:07:24 Over time, however, Thaler’s work came to be tolerated, if not outright accepted.
    0:07:30 Along the way, he wrote a few books, including Misbehaving, the Making of Behavioral Economics,
    0:07:34 and Nudge, Improving Decisions About Health, Wealth, and Happiness.
    0:07:40 Today, governments around the world are running so-called nudge units, hoping to harness the
    0:07:45 simple power of Thaler’s ideas in the pursuit of better outcomes in health, education, personal
    0:07:48 finance, and crime reduction.
    0:07:52 Many other institutions and firms are practicing what Thaler has been preaching, often to quite
    0:07:54 substantial success.
    0:08:00 If Kahneman and Tversky were the architects of this behavior revolution, Richard Thaler
    0:08:06 was the man who turned their sketches into something we could actually inhabit.
    0:08:12 I have a lot of questions for you today, and we also solicited listener and reader questions,
    0:08:13 so we’ll toss them in as we go.
    0:08:16 Here’s one from Jose Albino Sanchez.
    0:08:22 He writes, “He’s an economics major who graduated from Notre Dame in 2016, so congratulations.
    0:08:27 He wants to know, how did you, Richard Thaler, use your behavioral economics research to
    0:08:34 not run away with the one million-plus prize money of the Nobel Prize and go buy a Ferrari?”
    0:08:38 I should say that’s assuming you didn’t do that, but I, like Jose, am curious how you
    0:08:43 use your behavioral knowledge to spend or not spend yet your money.
    0:08:49 Well, like every Nobel winner, I think, is asked this question, “What are you going to
    0:08:51 do with the money?”
    0:08:55 They asked me this at 4.45 in the morning.
    0:09:03 The routine is, you get this call at 4 a.m. Chicago time, and once they’ve convinced you,
    0:09:10 this is not a prank, they say, “Okay, get ready, there’s a press conference in 45 minutes,”
    0:09:14 and I hopped in the shower, and then I’m on a press conference.
    0:09:17 The first question is, “What are you going to do with the money?”
    0:09:24 All I could think of was, “Well, to an economist, this is a silly question, an impossible question.”
    0:09:26 To most economists, perhaps.
    0:09:31 Well, certainly to a non-behavioral economist, it’s a silly question.
    0:09:33 Because the answer would be, it just goes into the pool with the other money.
    0:09:35 It’s no different than any other, is that why?
    0:09:36 Right.
    0:09:42 The proceeds of that money, half of which will end up in the US Treasury, are sitting in
    0:09:51 some account at Vanguard, and if I go out for a fancy dinner, there’s no way for me
    0:09:57 to label that Nobel money, though that might be a fun thing to do.
    0:10:04 I’ve thought that maybe the hedonically optimal way to spend the money would be to get a
    0:10:08 special credit card, the Nobel credit card.
    0:10:10 A Nobel card, yeah, nice.
    0:10:19 And then when I decide to buy a ridiculously expensive set of golf clubs, hoping that that
    0:10:26 will turn me into a competent golfer, then I just whip out the Nobel, that might be
    0:10:27 a good idea.
    0:10:32 Now, I’m curious, you do believe and in fact helped identify the notion that we think of
    0:10:37 as mental accounting, which I know that the smart people tell you you shouldn’t do that.
    0:10:43 You shouldn’t set aside money for vacation or for a certain project because money is
    0:10:44 fungible.
    0:10:45 That’s one of the beauties of money.
    0:10:51 And yet, as you discovered, many people do it, and you also argued it’s not such a bad
    0:10:56 idea, or at least since so many people do it, we should figure out how to deal with it.
    0:11:01 But is there a kind of a cookie jar on the counter where you’ve got the half a million
    0:11:04 that you can dip into whenever you want to do something fun?
    0:11:07 Yeah, yeah, yeah, that would be a really good idea, especially.
    0:11:09 What’s your address, by the way?
    0:11:12 Especially if we announce it on the radio.
    0:11:17 But why’d you stick it in Vanguard, where it just becomes like more dollars mixed in
    0:11:18 with the others?
    0:11:21 Well, you know, I haven’t, I’ve been busy, Steve.
    0:11:29 So yeah, maybe you’re getting me to think about labeling it, and of course, maybe we
    0:11:35 should figure out what percentage maybe all should go to some cause that would make me
    0:11:36 feel good too.
    0:11:40 If there were a cause, can you tell us just kind of the general outlines of the cause?
    0:11:43 Would it be a kind of, you know, poverty alleviation?
    0:11:50 You know, I greatly admire Doctors Without Borders, and they are one of the causes that
    0:11:56 we support, but I haven’t really figured out what my personal cause is.
    0:11:57 Now, let me ask you this.
    0:11:59 Your wife, Franz, you’ve been married quite a while.
    0:12:06 I don’t know how much credit you give her for being part of the familial team that produced
    0:12:08 this Nobel Prize.
    0:12:13 If you were to divide the prize, how do you think about divvying that up?
    0:12:17 Oh, first you try to prevent me from winning the Nobel Prize.
    0:12:20 Now you try to break up my marriage, Steve.
    0:12:27 You know, I used to think of you as a friend, and so I would say that Franz should get
    0:12:36 120% of the after-tax money, and you should get minus 20%, and I think that would be a
    0:12:42 great solution.
    0:12:46 Early in your academic career, and I hope you don’t mind me saying this, it didn’t appear
    0:12:51 as if you were destined for huge distinction in your field.
    0:12:52 I think that’s fair.
    0:12:53 Yeah.
    0:12:59 The undergraduate and graduate schools you went to aren’t quite elite.
    0:13:04 Your place in the economic firmament was hardly guaranteed, so what happened?
    0:13:07 How’d that guy get to here?
    0:13:11 You know, I think I, so you’re right.
    0:13:17 I don’t think I was, well, I certainly wasn’t a great student, and I don’t think I was
    0:13:27 a great economist in the way economists are usually judged in the sense that I wasn’t
    0:13:36 a great mathematician, and my econometrics skills were not superb.
    0:13:44 So suppose there was an economics combine, like the NFL Combine, and they did all the
    0:13:53 stats on Thaler, no one would have drafted him, and so what I really ended up having
    0:14:04 to do to survive, and this sounds premeditated, and of course it wasn’t, was to figure out
    0:14:12 kind of way of doing economics that would be something I was good at, and had I not
    0:14:20 done that, I might well have not gotten tenure and gone off and maybe I would be competing
    0:14:22 with you in book writing.
    0:14:29 You’ve summed up behavioral economics as a collection of “supposedly irrelevant factors”
    0:14:33 that when it comes to how people actually live their lives are in fact not irrelevant.
    0:14:34 Can you give an example?
    0:14:35 Sure.
    0:14:42 You know, one of the first things that I noticed back when I was a graduate student puzzling
    0:14:50 through the behavior I saw was that people don’t follow the economists advice to ignore
    0:14:52 sunk costs.
    0:15:00 You know, if you paid for some expensive rich dessert and after one bite, you were already
    0:15:07 full, and your waistline doesn’t really need it, but you remember how much you paid for
    0:15:15 it, and so you think you need to eat it following all kinds of mother’s bad advice to finish
    0:15:23 what’s on your plate, then you are failing to follow the economist advice of ignoring
    0:15:29 that money because eating it doesn’t get the money back.
    0:15:38 And so sunk costs are something that economists predict will have no effect on behavior.
    0:15:43 And there are a class of these supposedly irrelevant factors.
    0:15:52 In fact, it’s almost the only set of things about which economists have precise predictions.
    0:15:56 So you know, consider supply and demand.
    0:15:59 If the price goes up, people will demand less.
    0:16:00 Well, how much less?
    0:16:02 Oh, sorry.
    0:16:05 The theory doesn’t specify that.
    0:16:12 All it says is less, whereas here, sunk costs will matter precisely zero.
    0:16:14 So says the theory at least.
    0:16:15 Says the theory.
    0:16:16 Right.
    0:16:18 In reality, you’re saying they matter a great deal.
    0:16:19 Right.
    0:16:22 That’s why I call them supposedly irrelevant factors.
    0:16:30 You know, another example is default options, which box is ticked on a form.
    0:16:39 That again, according to economic theory, the cost of clicking the other box is infinitesimal.
    0:16:48 And yet we know that making enrollment in a retirement plan, the default option increases
    0:16:52 enrollment rates to over 90%.
    0:16:58 And so, again, economists would predict confidently that that would have a zero effect, and it
    0:17:02 has a massive effect.
    0:17:07 In an earlier episode of this podcast called How to Launch a Behavior Change Revolution,
    0:17:12 we heard Danny Kahneman, who won his own Nobel Prize in 2002, describe the history of behavioral
    0:17:13 economics.
    0:17:18 He pointed out something that distinguished Richard Thaler from many other economists.
    0:17:23 Richard, he hates my saying the next two things I’ll say about him.
    0:17:24 I mean, one of them, I think he would tolerate.
    0:17:26 I think he’s a genius.
    0:17:29 That’s that one he said.
    0:17:32 I think he’s lazy.
    0:17:38 I’ve made him famous for being lazy.
    0:17:44 You’ve been accused or really praised by your collaborator and mentor and friend, Danny
    0:17:47 Kahneman, as being extremely lazy.
    0:17:51 And furthermore, he argues that laziness has in fact been a big part of your success.
    0:17:55 What’s he mean by that, and should we all try to be a little bit lazier?
    0:18:00 Well, I don’t know whether I can recommend laziness.
    0:18:09 And Danny insists in great earnestness that this was intended as a compliment, although
    0:18:12 he described it as my best feature.
    0:18:14 And I object to that.
    0:18:21 I concede some laziness, but that being my best feature, really, Danny.
    0:18:28 So I think what he means is that, well, at least I’m going to interpret it this way,
    0:18:38 that I have little patience for working on things that aren’t, at least to me, both interesting
    0:18:43 and somewhat important.
    0:18:52 And so compared to many economists or academics, I haven’t written a super large number of
    0:19:01 papers and I don’t follow the habit of writing 20 versions of the same paper or on the same
    0:19:08 topic because I get bored and the fourth paper on some topic is not nearly as interesting
    0:19:10 as the first one.
    0:19:17 So Danny claims that it’s my laziness that forces me to work on things that are important
    0:19:19 rather than unimportant.
    0:19:21 And that’s his story anyway.
    0:19:24 And the mechanism of that benefit is what?
    0:19:27 Because you’re lazy, you just don’t want to waste time on things that aren’t going to
    0:19:30 be potentially important and/or interesting?
    0:19:31 Yeah.
    0:19:33 That’s the idea.
    0:19:38 So I hate to inject our personal history in this, but it does bring up a memory, is I
    0:19:40 remember coming to visit you in Chicago.
    0:19:47 I think it was the first time we met and it was probably 15, 16 years ago.
    0:19:52 And I had really fallen hard for this whole behavioral idea, Kahneman Tversky and Thaler
    0:19:54 and I like the economics.
    0:19:59 I especially like the psychology and I came to you and I said, “Hair Professor Thaler,
    0:20:03 I, a young and ambitious journalist at the New York Times, would be most interested in
    0:20:09 writing a book that incorporates your research and incorporates your own view of the world
    0:20:14 and I’d love to include you in it as some kind of collaborator subject, so on.
    0:20:17 And if I recall correctly, I’m just curious to know what your recollection is.
    0:20:23 You basically said, “Hmm, that sounds like a lot of work and I got other stuff going
    0:20:26 on, so I’ll buy you lunch, but then scram.
    0:20:27 That was my recollection.
    0:20:30 And I’ve always been disappointed that we never worked on a book together.
    0:20:32 I’m curious if that squares with your recollection.”
    0:20:38 Yeah, it really is too bad for you because when you got done with me, you said, “I’m
    0:20:43 going over to the economics department to talk to this young guy, Levitt.”
    0:20:51 And then I think you abandoned the idea of writing a book with me because sumo wrestlers
    0:20:55 are more important than mental accounting.
    0:21:04 But my recollection of this story was that I thought maybe I had a book in me and eventually
    0:21:05 I did.
    0:21:06 Obviously you did.
    0:21:08 You had two more and maybe more beyond.
    0:21:17 So you know, this is the tallest midget theory, but by economist standards, I write well.
    0:21:22 And so yeah, I thought that maybe I should write a book and that it should probably be
    0:21:28 in my voice and it worked out well for all three of us.
    0:21:31 I do agree you write well, not even for an economist.
    0:21:33 You’re a good writer, but in economics, it especially stands out.
    0:21:36 I read a piece of yours recently that I would recommend to everybody.
    0:21:41 It was published in, I believe, JPE, Journal of Political Economy.
    0:21:46 And it was an essay about the history of behavioral economics, and this was so interesting
    0:21:47 to me.
    0:21:51 You write that it nearly got fully underway at the University of Chicago about a hundred
    0:21:53 years ago but didn’t catch on.
    0:21:55 Can you talk a little bit about that?
    0:22:02 Yeah, so the background is the University of Chicago House Journal, Journal of Political
    0:22:07 Economy, one of the top five journals in the world.
    0:22:12 They were celebrating their 125th anniversary and they asked a bunch of Chicago faculty members
    0:22:20 to write short essays on their field and how it’s been represented in the journal.
    0:22:27 And for behavioral economics, there were pretty slim pickings, but there was this article
    0:22:33 written exactly a hundred years ago in 1918 by a guy called John Maurice Clark.
    0:22:41 He was the son of a more famous guy, John Bates Clark, for whom an award is named.
    0:22:51 And he writes something like that the economist can try to invent his own psychology, but
    0:22:53 it will be bad psychology.
    0:23:00 And if they want to stick to economics, they should borrow their psychology from psychologists.
    0:23:04 Clark, you write, ends up leaving Chicago for Columbia, and you write, “It seems fair
    0:23:09 to say that the subsequent editors of the JPE did not take up his call to arms,” which
    0:23:12 was essentially to integrate psychology and economics.
    0:23:15 Why did it take so long, do you think?
    0:23:21 Well, you know, I don’t know really what was going on in 1918, but it is the case that
    0:23:25 economics was behavioral.
    0:23:33 You know, Adam Smith was a behavioral economist for sure, and Keynes was a behavioral economist.
    0:23:39 The single best chapter on behavioral finance was written by John Maynard Keynes in the
    0:23:42 general theory, which was written in 1936.
    0:23:49 So I think until World War II, there wasn’t something called behavioral economics, but
    0:23:52 economics was kind of behavioral.
    0:24:01 And then what happened is there was a mathematical revolution that took place right after World
    0:24:07 War II, and it was led by people like Paul Samuelson and Kenneth Arrow.
    0:24:13 And Samuelson in particular, he was a University of Chicago undergraduate, and then went off
    0:24:21 to graduate school, and his thesis was called Foundations of Economic Analysis.
    0:24:27 So all he did was redo all of economics properly.
    0:24:36 And so starting with that, economists got busy writing down Greek letters and formalizing
    0:24:46 economics, and it turns out the easiest way to do that is to describe behavior as some
    0:24:54 kind of optimization problem, because if you’ve taken a high school calculus class, then you
    0:24:59 know how to solve for the maximum.
    0:25:04 You take the first derivative and set it equal to zero, and you’re done.
    0:25:14 So it was the bounded rationality of economists, ironically, that led them to make everything
    0:25:15 rational.
    0:25:21 It’s interesting because a lot of the hallmark anomalies, I guess, identified in recent
    0:25:25 decades by people like you and Koneman Tversky.
    0:25:30 We talk about loss aversion and mental accounting and the endowment effect and all the cognitive
    0:25:35 biases, recency bias and status quo bias and the availability bias.
    0:25:41 It strikes me that none of them actually even seem remotely new.
    0:25:47 I mean, can’t you find most of them in Shakespeare, can’t you find them in Roman and Greek and
    0:25:51 earlier philosophy, don’t you find them in the Bible and other ancient texts?
    0:25:58 So if what you’re describing now is a kind of mid-century modern renaissance of a sort
    0:26:03 of more holistic thinking about economics that was there from Adam Smith onward until
    0:26:10 World War II, I guess the real question is, is that really worth a Nobel Prize to have
    0:26:16 rediscovered this rich, rich, rich tradition of people say they want to do one thing but
    0:26:17 often do another?
    0:26:18 Yeah.
    0:26:24 I think it’s the sort of thing that your mother might say, “Really, you make a living
    0:26:29 doing that much less a Nobel Prize.”
    0:26:35 So I mean, I guess it’s fair to say that just pointing out that people aren’t all that
    0:26:39 smart would not get you a Nobel Prize.
    0:26:46 You had to do something with it and that turned out to be more work than I liked.
    0:26:53 But yeah, there was a long debate and by no means have I convinced everyone.
    0:26:58 You were once asked about the degree to which, quote, mainstream economists have embraced
    0:27:03 behavioral economics and you said, “I don’t think I’ve changed anyone’s mind in 40 years.
    0:27:04 You basically don’t change minds.
    0:27:08 Given that, I’ve turned to the strategy of corrupting the youth.”
    0:27:13 And indeed, there are a lot of young economists really interested in behavioral stuff.
    0:27:14 Is that really true?
    0:27:15 Did you really change no minds?
    0:27:21 And if so, or even if not, I guess, what have you learned about the human capacity to change
    0:27:22 a mind?
    0:27:28 You don’t want to just write off anyone over the age of 25, do we, as incapable of entertaining
    0:27:29 new thoughts?
    0:27:33 Well, it’s hard.
    0:27:40 So I think Richard Posner, a great judge, I think he’s changed his mind a bit.
    0:27:45 But I think it is hard to change people’s minds.
    0:27:53 But economists in graduate school now, they don’t have a big sunk cost in the traditional
    0:27:54 methods.
    0:28:01 There was an economist once early in my career who said to me, “You know, if you’re right,
    0:28:03 what am I supposed to do?
    0:28:07 What I know how to do is solve optimization problems.”
    0:28:10 And I said, “You know, really, I don’t know.
    0:28:11 I’m sure you’ll think of something.”
    0:28:17 It’s interesting, though, because if you look at the world writ large, political systems
    0:28:22 and health care institutions and so on, isn’t that exactly the same core problem that we’re
    0:28:28 facing, which is people come along with what could be really useful solutions, but institutions
    0:28:32 being what they are, the people with the power to change, have often the least incentive
    0:28:33 to change.
    0:28:36 Isn’t that a huge issue and the lack of progress?
    0:28:43 Well, I get what you’re saying, which is if I’m at the top of the heap, why do I need
    0:28:44 to change?
    0:28:53 But on the other hand, it’s often the CEO that is the most reluctant to change, and
    0:29:00 that guy, and he’s unfortunately still usually a guy, potentially has a lot to gain from
    0:29:01 changing.
    0:29:09 If you think of companies that have come and gone like Kodak, which invented the digital
    0:29:16 camera, but they had almost monopoly in film and didn’t really think this digital thing
    0:29:27 would go anywhere, and there are lots of blockbuster video, which came along and put tens of thousands
    0:29:36 of mom and pop video stores out of business, only to be put out of business by Netflix.
    0:29:42 Coming up after the break, wait a minute, the Nobel Prize in economics isn’t a “real”
    0:29:43 Nobel Prize, is it?
    0:29:46 You know, it’s a pretty good substitute.
    0:29:50 What the award ceremony feels like if you’re the one getting the award?
    0:29:57 I will say that I found the whole thing to be pretty emotional, partly because of where
    0:30:00 I came from intellectually.
    0:30:05 And what’s Thaler got to say about past and future economic meltdowns?
    0:30:11 You know, we seem to learn one lesson and then are not able to extrapolate it to the
    0:30:12 next one.
    0:30:29 I don’t know what the next bubble will be or whether we’re already in one.
    0:30:35 In December of 2017, Richard Thaler went to Stockholm for a multitude of Nobel festivities.
    0:30:42 With the Nobel Prize banquet, one winner from each prize has to give a toast.
    0:30:46 It gives you a glimpse of the grandeur.
    0:30:55 It’s a great honor to present the prize winner of the Swiss Riksbank Prize in economics to
    0:31:01 Alfred Nobel’s memory, Richard Thaler.
    0:31:09 So my toast began by saying that my fellow winners had discovered things like gravitational
    0:31:19 waves and circadian rhythms and I discovered the existence of humans in the economy.
    0:31:22 Then there were other events, including the Nobel lecture.
    0:31:30 Professor Thaler, please, the stage is yours.
    0:31:35 Thanks to all the members of the committee.
    0:31:39 And thanks for that great introduction.
    0:31:49 So I’ve been interested in gravitational waves for a long time, oh no.
    0:31:55 In an earlier episode about the Nobel Prize and how to win one, we did speak with your
    0:31:57 colleague and our friend, Steve Levitt.
    0:32:01 And he said … The way I know it’s Nobel season is that around Chicago, a lot of people
    0:32:06 tend to get haircuts in the few days leading up to the announcement of the prize.
    0:32:11 And so if I see all my colleagues with really short, well-maintained hair, I know that the
    0:32:13 prize must be somewhere right around the corner.
    0:32:17 So we have a question here from a listener named Aaron Wicks.
    0:32:22 He writes to say, “Dear Professor Thaler, did you get a haircut in hopeful anticipation
    0:32:24 of receiving your Nobel Memorial Prize?”
    0:32:27 No, I didn’t.
    0:32:37 And I will also say that I have heard of economists and other scientists who set their alarm.
    0:32:40 And then did they practice sounding sleepy?
    0:32:47 Like 345 so that there’ll be alert, which I was the opposite of when the phone rang.
    0:32:56 And I’m a good enough amateur psychologist to know that this is a horrible idea, a really
    0:32:57 dreadful idea.
    0:33:03 So let’s suppose my chances of winning were one in 20.
    0:33:11 Setting my alarm gives me a 95% chance of being awake to get the bad news.
    0:33:22 Whereas my strategy had always been to sleep soundly and then here on NPR in the morning
    0:33:29 or now breaking news on your phone, “Oh, isn’t that nice?
    0:33:35 The Jean Tirol, a fabulous fellow, won the Nobel Prize and you can be happy about that.”
    0:33:40 So no, I didn’t get a haircut and my alarm was not set.
    0:33:44 In the very near aftermath of having been informed that you won the Nobel, you said
    0:33:45 this.
    0:33:50 And unlike Bob Dylan, I do plan to go to Stockholm.
    0:33:52 And you did go to Stockholm.
    0:33:53 Tell us about that experience.
    0:33:57 Well, it’s a week-long marathon.
    0:34:05 The Laureates are there for eight days of kind of constant interviews and dinners and talks
    0:34:07 and various things.
    0:34:12 And there’s a hierarchy in the Stockholm prizes.
    0:34:17 The Peace Prize is given by Norway and is done in Oslo.
    0:34:25 And the hierarchy is physics, chemistry, medicine, literature, economics.
    0:34:34 And so my line is that among sciences, the Swedes consider economics just after literature.
    0:34:39 And that’s because, of course, the economics prize, as we know, and as I’m sure some of
    0:34:48 your listeners will call in and inform you idiots, it’s not a real Nobel Prize.
    0:34:50 Before you go on with it, so let’s just get it straight.
    0:34:54 The Nobel Prize in Economics is not what they call an original Nobel.
    0:35:01 It was established in 1968 and it’s officially called the Central Bank of Sweden Prize in
    0:35:04 Economics Sciences in memory of Alfred Nobel.
    0:35:09 But as you point out, a small but vocal contingent always seeks to remind us of this fact whenever
    0:35:12 the economic prize is referred to as a Nobel Prize.
    0:35:16 What do you say to that small vocal contingent that says, “Well, it’s not really a Nobel
    0:35:17 Prize”?
    0:35:20 You know, it’s a pretty good substitute.
    0:35:25 And I will say the Nobel Foundation makes exactly no distinction.
    0:35:27 So you’re all treated the same way.
    0:35:35 But because of this order, I spent a lot of time standing in lines and sitting next to
    0:35:41 Kazuo Ishiguro, the literature winner who was charming and wonderful.
    0:35:49 But I will say that I found the whole thing to be pretty emotional, partly because, you
    0:35:54 know, of where I came from intellectually.
    0:36:02 So you know, as we were saying, I’m not someone that you would have predicted would be a Nobel
    0:36:03 Prize winner.
    0:36:09 And when that finally happened, that was, yeah, it was an emotional experience.
    0:36:11 Are either of your parents still alive?
    0:36:16 No, they, they’re very slow.
    0:36:17 They the Nobel committee, you’re talking about?
    0:36:24 Yeah, the Nobel committee, you know, they’re working their way through the 1980s.
    0:36:31 So that means that people are typically in their late 60s and early 70s when they win
    0:36:37 the Nobel Prize, which means there are very few parents that get to see their children
    0:36:38 win.
    0:36:42 Who do you think was most proud of you?
    0:36:44 Danny Kahneman.
    0:36:45 Hmm.
    0:36:46 Well, he was happiest.
    0:36:51 He kept telling me, come on, win this before I die.
    0:36:59 And he’s 84, so, you know, he’s a friend, so I had to do it, you know, the bribes were
    0:37:04 finally well worth it.
    0:37:10 So let’s move on to talking about how behavioral economics has been applied by various people
    0:37:14 and various intensities in many different places around the world.
    0:37:20 So you’ve said there are roughly 75, what are called Nudge Units named after you were
    0:37:25 in Cass Sunstein’s book Nudge about using behavioral economics in policy, essentially,
    0:37:26 policymaking.
    0:37:28 The latest number is 200.
    0:37:29 Goodness gracious.
    0:37:32 That’s a tripling in what span of time, just a year or two?
    0:37:33 I don’t know.
    0:37:39 And I’m, I’m not the one keeping track, but someone at the OECD has a map with 200.
    0:37:40 Some of these are in.
    0:37:41 Municipal.
    0:37:42 Yeah.
    0:37:44 And there’s one in Chicago, for example.
    0:37:45 All right.
    0:37:50 But what would you say to date has been the greatest kind of specific contribution of
    0:37:51 behavioral economics?
    0:37:56 In other words, the greatest instance in which the research and the ideas have been applied
    0:37:59 to policy in successful measures?
    0:38:08 I guess you’d have to say retirement saving plans because 401(k) plans and their ilk defined
    0:38:16 contribution plans have really been transformed because of behavioral economics research.
    0:38:21 On two dimensions, one is changing the default.
    0:38:24 So what’s called automatic enrollment.
    0:38:29 So you’re in unless you actively take some step to opt out.
    0:38:34 That has gotten enrollment rates to be north of 90%.
    0:38:41 And then what my colleague, Shloma Benartzi and I called save more tomorrow, which is
    0:38:49 a plan where you ask people if they want to increase their saving rates every year until
    0:38:51 they hit some reasonable level.
    0:38:55 The generic version of that is now called automatic escalation.
    0:39:00 So what that means is you get a raise and you contribute a higher percentage, but because
    0:39:03 you’re getting a raise, you still are bringing home a little bit more money and you don’t
    0:39:04 feel the pain.
    0:39:05 Is that the idea?
    0:39:06 Right.
    0:39:13 And you commit yourself to this often the future because we all have more self-control
    0:39:19 next month when we’re going to start going to the gym every morning at six.
    0:39:23 You’ve written that the, I’ll quote you to yourself, the subfield of economics in which
    0:39:28 the behavioral approach has had the greatest impact is finance.
    0:39:29 I’d love you to talk about that for a minute.
    0:39:34 You know, one thing I’ve never understood about behavioral finance is, you know, once
    0:39:41 the notion of behavioral anomalies is widely accepted and they seem to be now in finance
    0:39:46 and in investing, aren’t they just subsequently priced out of the market?
    0:39:48 Well, that’s an interesting question.
    0:39:56 And the answer is to some extent, yes, but I’ve been involved with a money management
    0:40:03 firm called Fuller and Thaler that’s been around for 25 years or so.
    0:40:11 And the things we do don’t seem to work any less well than they did 20 years ago.
    0:40:16 I know Fuller and Thaler describes itself as having pioneered the application of behavioral
    0:40:20 finance to investment management or your exact words.
    0:40:26 In what ways, just describe in what ways is the firm’s strategy actually behavioral?
    0:40:36 So we’re explicitly thinking about what are a class of situations in which people are
    0:40:39 likely to make a mistake.
    0:40:47 So it’s like, you know, you go into some restaurant and somebody’s leading you to your table and
    0:40:56 there’s that one step down and they say, watch your step and they say, watch your step because
    0:41:03 if they don’t, you know, three people a night will fall down and they’ll have lawsuits.
    0:41:09 So you know, you can be a spectator watching that and say, oh, that guy’s about to make
    0:41:10 a mistake.
    0:41:13 Now, you would have made that mistake too.
    0:41:25 So what we try to do is find those steps that are not quite in sight that will throw a majority
    0:41:29 of market participants off.
    0:41:31 Let me ask you a related question.
    0:41:37 This is from Colm Ryan, who writes that he’s an accountant in Dublin, Ireland, related
    0:41:40 to what we’ve been speaking about and with very high stakes, I should say.
    0:41:45 So here’s his question, given that you could apply behavioral principles to help understand
    0:41:52 what led to the 2007 crash, do you see any similarities or indeed differences in what’s
    0:41:54 going on in the world today?
    0:41:58 And before we let you answer the question, we should say that you, Richard Thaler, would
    0:42:02 seem particularly well suited to answer this difficult question because in the film, The
    0:42:10 Big Short, Selena Gomez helps you explain synthetic CDOs, collateralized debt obligations.
    0:42:17 Well, here’s Dr. Richard Thaler, father of behavioral economics and Selena Gomez, to
    0:42:18 explain.
    0:42:19 Okay.
    0:42:21 So here’s how a synthetic CDO works.
    0:42:24 Let’s say I bet 10 million on a black jacket.
    0:42:30 10 million because this hand is meant to represent a single mortgage bond.
    0:42:32 So first of all, was she a pretty good teacher?
    0:42:34 You understood CDOs better after that filming?
    0:42:35 Yeah.
    0:42:43 Let me just say that Selena, unlike me, was very good at memorizing lines.
    0:42:49 And I think it’s fair to say that, I mean, she was a very charming young woman and I’m
    0:42:54 deeply grateful to her because being in that movie is the only thing that I’ve done that
    0:43:00 has impressed my granddaughters who are big Selena Gomez fans.
    0:43:05 But I think it’s fair to say Selena knew nothing about collateralized debt obligations
    0:43:09 nor blackjack.
    0:43:12 So she’s a great actress then because the impression is that she knows quite a bit
    0:43:13 about both.
    0:43:16 Yeah, she’s a much better actor than me.
    0:43:24 So a possibly funny story is that in the script, the first hand, she’s dealt a 21, which of
    0:43:31 course in blackjack means you win, and she was dealt 21 and didn’t react.
    0:43:38 And so I had to take over as blackjack coach and director, both of which are uncredited
    0:43:46 in the movie, I might add, and say, Selena, when you get dealt 21, that means you win.
    0:43:50 And there’s a shot in there where we’re high fiving.
    0:43:57 And that’s because she had learned in subsequent takes that when she gets dealt 21 that she’s
    0:43:58 supposed to be happy.
    0:43:59 Okay.
    0:44:06 So let’s get back to Colm Ryan’s question about the 2007 meltdown and now similarities,
    0:44:07 differences.
    0:44:08 What do you see?
    0:44:19 Well, you know, I don’t think we will repeat that mistake, but that crisis followed pretty
    0:44:27 quickly after the tech crash in 2000, right, and it started like in 2006.
    0:44:35 So we’re barely over the tech bubble and we get this real estate bubble, and you know,
    0:44:43 we seem to learn one lesson and then are not able to extrapolate it to the next one.
    0:44:48 I don’t know what the next bubble will be or whether we’re already in one.
    0:44:57 I do think that we have done some things to make banks less fragile, especially big ones,
    0:45:01 but you know, there are things like Bitcoin around.
    0:45:03 Of which you’re not a fan, we should say.
    0:45:05 Of which I’m not a fan, no.
    0:45:10 You’re not not a fan of blockchain itself, correct, but as a currency, not a fan.
    0:45:11 Is that about right?
    0:45:12 Correct.
    0:45:20 I don’t know why anyone engaged in strictly legal activities would want to use a currency
    0:45:22 that is so volatile.
    0:45:24 It’s just the opposite.
    0:45:31 You know, suppose you sell another book and the publisher offers you an advance in Bitcoin,
    0:45:36 unless you were trying to cheat the IRS, you would say, “No, tell me what it’s going to
    0:45:42 be in dollars,” because I could end up getting half of what you’re offering me, and that’s
    0:45:44 not an attractive feature.
    0:45:45 So have you shorted Bitcoin?
    0:45:52 No, because you know, Warren Buffett says a lot of smart things, and one thing he says
    0:45:58 is don’t make investments in things you don’t understand, and I have no clue.
    0:46:06 I mean, I don’t think that the intrinsic value of Bitcoin is worth thousands of dollars,
    0:46:11 but I also think it’s entirely possible that it will go up rather than down.
    0:46:16 So stay away is the best advice.
    0:46:21 Some people, including some economists, argue that behavioral economics is really just another
    0:46:26 way to suggest that individuals can’t be trusted to make good decisions.
    0:46:31 And so institutions, particularly the state, should take more control.
    0:46:36 Indeed, your co-author on the book, Nudge, the Legal Scholar, Cass Sunstein, for several
    0:46:41 years ran a White House unit called the Office of Information and Regulatory Affairs, which
    0:46:44 sounds about as Orwellian as you can.
    0:46:49 There are Nudge units in dozens of federal governments around the world.
    0:46:54 You’ve described your work as libertarian paternalism, and furthermore argued that that
    0:46:56 phrase is not an oxymoron.
    0:47:04 Why shouldn’t we dismiss your work as a kind of new, softer form of statism?
    0:47:12 Well, I think, first of all, when we use this phrase libertarian paternalism, we’re using
    0:47:17 libertarian as an adjective.
    0:47:24 So we’re trying to say we’re going to design policies that don’t force anyone to do anything.
    0:47:32 So the claim that we’re trying to tell people what to do or force them to do things is just
    0:47:34 completely wrong.
    0:47:38 We’re also not trying to tell them to do what we think is smart.
    0:47:44 We’re trying to help people do what they want to do.
    0:47:50 So I like to use GPS as an analogy of what we’re trying to do.
    0:47:59 So I have a terrible sense of direction, and Google Maps is a lifesaver for me.
    0:48:09 Now if I want to go visit you, I can plug in your address, and suppose I’m walking
    0:48:15 across the park, and I see, oh, look, there’s a softball game over there.
    0:48:17 I think I’ll go watch that for a while.
    0:48:20 Google Maps doesn’t scold me.
    0:48:21 You know?
    0:48:26 It will recompute a new route if I’ve gone a bit out of my way.
    0:48:29 It doesn’t suggest addresses to me.
    0:48:31 It just suggests a route.
    0:48:36 And if there’s a traffic jam, it suggests maybe you should alter your route.
    0:48:39 So we don’t think people are dumb.
    0:48:42 We think the world is hard.
    0:48:48 I mean, figuring out how much to save for retirement is a really hard cognitive problem
    0:48:54 that very few economists have solved for themselves.
    0:48:56 And it’s not only cognitively hard.
    0:49:02 It involves delay of gratification, which people find hard.
    0:49:07 So it’s just like navigating in a strange city is hard.
    0:49:10 So why not try to help?
    0:49:17 When I first was working with the UK behavioral insight team, the first nudge unit, the phrase
    0:49:24 I kept saying in every meeting with some minister was, “If you want to get people to do something,
    0:49:26 make it easy.
    0:49:28 Remove the barriers.”
    0:49:29 That’s what we’re about.
    0:49:32 Let me go back to you and the Nobel.
    0:49:38 So what would you say have been the biggest changes in your life since winning the prize,
    0:49:42 both of the observable sort and unobservable?
    0:49:49 Well, I mean, I think I spend more time talking to people like you.
    0:49:57 My inbox, my email is completely out of control and there are some downsides.
    0:50:02 The university all of a sudden has a lot of things that they would like you to do.
    0:50:03 Fundraisers.
    0:50:04 Of that ilk.
    0:50:07 So I was a pretty happy guy.
    0:50:12 You’ve known me for years and we saw each other recently.
    0:50:16 Did I seem demonstrably happier?
    0:50:18 You looked a little taller and better looking.
    0:50:20 But otherwise, I think that was my perception.
    0:50:21 I think you were exactly the same, actually.
    0:50:23 No, that was just your jealousy.
    0:50:31 But look, I absolutely don’t want to sound like a sore winner or an ungrateful winner.
    0:50:39 I’m saying that most of the people who win were already pretty successful people with
    0:50:46 pretty good lives and there’s what psychologists call a ceiling effect.
    0:50:48 So I had a pretty happy life.
    0:50:55 As you know, I have a nice wife and I have kids I love and yes, this made me happy and
    0:50:57 it was very gratifying.
    0:51:08 But you have this image that you’re going to be on cloud nine and then there’s life.
    0:51:12 You still get flat tires even if you have a Nobel Prize.
    0:51:17 You still have leaks at home that nobody seems to be able to fix.
    0:51:24 So yeah, they need to fix that and say that if you get a Nobel Prize, nothing can leak
    0:51:27 in your house.
    0:51:30 I’ll end with where I should have started.
    0:51:31 Congratulations.
    0:51:32 Thank you, Stephen.
    0:51:37 I and I know everybody who listens to you is happy for you, proud of you and most of
    0:51:42 all, we’re pleased and a selfish way to keep learning from you because we learn a lot and
    0:51:46 I thank you especially for that and I look forward to the next time we speak.
    0:51:50 So do I.
    0:51:55 That again was Richard Thaler, the Nobel Prize winning economist from our 2018 episode
    0:52:00 called People Aren’t Dumb, The World is Hard.
    0:52:05 Thanks to him for this conversation and as always, thanks to you for listening.
    0:52:11 We will have a regular episode of Freakonomics Radio out soon in its regular time slot.
    0:52:14 Freakonomics Radio is produced by Stitcher and Renboad Radio.
    0:52:19 You can find our entire archive on any podcast app also at freakonomics.com where we publish
    0:52:21 transcripts and show notes.
    0:52:24 This episode was produced by Greg Rizalski.
    0:52:30 Our staff also includes Alina Cullman, Augusta Chapman, Delvin Abouaji, Eleanor Osborne,
    0:52:35 Elsa Hernandez, Gabriel Roth, Greg Rippon, Jasmine Klinger, Jeremy Johnson, Julie Kanfer,
    0:52:40 Lyrik Bowditch, Morgan Levy, Neil Carruth, Rebecca Lee Douglas, Sarah Lilly, Teo Jacobs
    0:52:42 and Zach Lipinski.
    0:52:45 Our theme song is Mr. Fortune by the Hitchhikers.
    0:52:52 Our composer is Luis Guerra.
    0:53:08 The weather is good today, but there’s always tomorrow.
    0:53:10 (soft music)
    0:53:12 you

    You wouldn’t think you could win a Nobel Prize for showing that humans tend to make irrational decisions. But that’s what Richard Thaler has done. In an interview from 2018, the founder of behavioral economics describes his unlikely route to success; his reputation for being lazy; and his efforts to fix the world — one nudge at a time.

     

    • SOURCES:
      • Richard Thaler, professor of behavioral science and economics at the University of Chicago.

     

     

  • 596. Farewell to a Generational Talent

    AI transcript
    0:00:02 (dramatic music)
    0:00:08 Today on Freakin’ Amic Radio, a very special episode,
    0:00:11 a conversation about the late Daniel Kahneman,
    0:00:13 whose insights into human behavior
    0:00:15 have been threaded through this show for years,
    0:00:20 ideas like confirmation bias and loss aversion
    0:00:22 and the planning fallacy.
    0:00:23 During this conversation,
    0:00:25 we also learned about a research paradigm
    0:00:29 that Kahneman embraced called adversarial collaboration,
    0:00:32 which means working shoulder to shoulder with your rivals.
    0:00:37 He felt that this is the right way to do science.
    0:00:40 Kahneman was a phenomenally influential psychologist
    0:00:43 who won a Nobel Prize in Economics,
    0:00:46 wrote the bestselling book, Thinking Fast and Slow,
    0:00:50 and left behind an army of collaborators,
    0:00:53 mentees, and admirers.
    0:00:55 With them, we will take a careful look
    0:00:58 at the life and mind of Danny Kahneman starting now.
    0:01:01 (upbeat music)
    0:01:14 This is Freakin’ Amic Radio,
    0:01:18 the podcast that explores the hidden side of everything
    0:01:20 with your host, Stephen Dovner.
    0:01:23 (upbeat music)
    0:01:29 Last month in a sunlit auditorium
    0:01:31 overlooking the Chicago River,
    0:01:34 there was a gathering of psychologists, economists,
    0:01:36 and other social scientists.
    0:01:38 This was the Behavioral Decision Research
    0:01:40 in Management Conference.
    0:01:43 The keynote event was supposed to be
    0:01:45 a conversation with Danny Kahneman,
    0:01:47 facilitated by Richard Thaler,
    0:01:50 his longtime friend and collaborator.
    0:01:53 Thaler is the University of Chicago Economist
    0:01:55 who helped turn Kahneman’s insights
    0:01:59 into the field now known as behavioral economics.
    0:02:02 But when Kahneman died in March at age 90,
    0:02:05 Thaler came up with a new plan for the conference.
    0:02:09 Now it would pay tribute to Danny Kahneman.
    0:02:12 Freakin’ Amic Radio was lucky enough to be asked along
    0:02:15 to moderate a couple of panel discussions
    0:02:17 about his life and work.
    0:02:18 The episode you’re about to hear
    0:02:21 is a condensed version of those conversations.
    0:02:24 This all took place at the downtown outpost
    0:02:26 of the University of Chicago’s business school
    0:02:29 in front of a couple hundred attendees.
    0:02:32 Some of the panelists had known Danny Kahneman
    0:02:34 for many decades.
    0:02:37 For instance, the psychologist Maya Bar-Hillel,
    0:02:40 her father was a philosophy professor
    0:02:42 at Hebrew University in Jerusalem,
    0:02:45 where Kahneman got his undergraduate degree.
    0:02:49 – My father taught Danny and gave him a lot of grief,
    0:02:52 but my father apparently gave just about everybody
    0:02:54 a lot of grief.
    0:02:57 He was a tough-minded philosopher.
    0:02:59 – And when Kahneman became a professor,
    0:03:03 one of his students was Maya Bar-Hillel,
    0:03:05 from generation to generation.
    0:03:10 – I met Danny in the first week of my first year
    0:03:11 at the Hebrew University.
    0:03:15 He gave the introductory statistics course.
    0:03:18 He looked at us and he pronounced right away,
    0:03:21 you are the creme de la creme.
    0:03:25 He said it in French and we were.
    0:03:28 (audience laughing)
    0:03:30 – Kahneman had grown up in France
    0:03:32 during the Nazi occupation.
    0:03:36 He survived, barely, and lived for many years in Israel
    0:03:41 before coming to the US to get his PhD at UC Berkeley.
    0:03:43 His research partner, Amos Tversky,
    0:03:46 was another Israeli psychology professor
    0:03:47 who moved to the States.
    0:03:50 Tversky died young in 1996,
    0:03:53 too early to share in what would have surely been
    0:03:56 a joint Nobel Prize.
    0:03:58 Tversky was regarded as perhaps
    0:04:01 even more brilliant than Kahneman.
    0:04:03 The two of them published many papers
    0:04:05 on judgment and decision-making,
    0:04:07 but not just in psychology journals.
    0:04:12 – It always struck me just in the story
    0:04:14 of how Kahneman and Tversky research
    0:04:17 was taken hold of by Thaler and others
    0:04:20 and turned into what we now call behavioral economics.
    0:04:22 That it was very, very important
    0:04:23 that these were two psychologists
    0:04:26 who were also very mathematically fluent.
    0:04:28 If that hadn’t been the case
    0:04:30 and if the publication hadn’t been in,
    0:04:32 I guess, econometrica and so on,
    0:04:35 was there a pretty good possibility for a counterfactual
    0:04:36 where all that research might have stayed
    0:04:39 within the realm of psychology and never trickled over
    0:04:41 and we might not have what we think
    0:04:42 of as behavioral economics?
    0:04:44 – It was not an accident.
    0:04:48 It’s not how fortunate that they went to econometrica.
    0:04:50 They realized that their work
    0:04:53 was attended to primarily by psychologists
    0:04:56 and in fact, they both considered themselves
    0:04:59 all their lives as psychologists,
    0:05:02 but they also realized that their research
    0:05:06 was perhaps more important outside of psychology.
    0:05:10 So the decision to publish their paper in econometrica
    0:05:11 was a deliberate move.
    0:05:15 It was a strategic move to get the attention.
    0:05:17 They believed that that was the ticket
    0:05:18 and without the ticket,
    0:05:20 they would not have been playing in that field.
    0:05:24 – A lot of the early Kahneman-Tversky work
    0:05:26 centered around an observation
    0:05:29 that may seem obvious in retrospect,
    0:05:32 but at the time had not been explored with much rigor.
    0:05:36 The idea was that we are all constantly making decisions,
    0:05:39 personal, professional, political decisions.
    0:05:41 And then later, if we ask ourselves
    0:05:44 why we made a given decision,
    0:05:47 which by the way, we usually don’t ask,
    0:05:50 we might tell ourselves a story about making the decision,
    0:05:55 but these stories are often not quite true.
    0:05:56 Why?
    0:05:59 One reason is that we want to appear to others
    0:06:03 and maybe even ourselves as smarter than we are.
    0:06:05 Here is Richard Taylor.
    0:06:09 – I met Danny and Amos in 1977
    0:06:13 and it was a transformative year for me.
    0:06:17 I decided to change jobs and took a job at Cornell
    0:06:19 and decided to offer a course
    0:06:22 in the thing I was now fascinated by
    0:06:26 and called it behavioral decision theory,
    0:06:30 which is kind of what the name of this field used to be.
    0:06:32 I got about eight students.
    0:06:36 So I had to think of something to do
    0:06:39 to increase the enrollment in the class.
    0:06:44 And so I changed the name to managerial decision making.
    0:06:49 50 students show up.
    0:06:54 I began the class by asking how many of you
    0:06:58 signed up for this class because of the name?
    0:07:00 No one raised their hand.
    0:07:03 I said, well, actually nearly all of you.
    0:07:08 That’s one illustration of what Danny’s talking about.
    0:07:12 No one thinks they would be stupid enough
    0:07:15 to sign up for a class based on the name.
    0:07:17 – I believe it was in thinking fast and slow
    0:07:19 where Danny wrote, not only are we blind,
    0:07:21 but we are blind to our blindness.
    0:07:26 – Yeah, and you know, maybe one of the many secrets
    0:07:31 of the Conor Monteverski collaboration was
    0:07:34 they were not blind to those.
    0:07:39 And what they had was a mistake detection facility.
    0:07:45 They had some radar where they could anticipate
    0:07:48 what the mistake is.
    0:07:52 And because they had this mistake detection facility
    0:07:57 somewhere, they were able to figure out things.
    0:08:00 And then they were pretty good at predicting
    0:08:04 what people other than Amos and Danny would do.
    0:08:09 To me, the big point, the aha point that I got
    0:08:12 from reading their judgment papers
    0:08:15 was the idea of predictable bias.
    0:08:17 – May I add something to that?
    0:08:18 – Yes, please.
    0:08:20 – Not only predictable.
    0:08:23 I think now I’m gonna say something that is perhaps,
    0:08:25 I can’t say that I heard them say it,
    0:08:28 but I hope they would both agree,
    0:08:30 that the errors are not just predictable.
    0:08:33 The errors are smart.
    0:08:36 Our stupid mistakes are evidence
    0:08:38 of the wonderful human mind.
    0:08:42 That’s how normal cognition functions
    0:08:45 and normal cognition is amazing.
    0:08:46 – I love that.
    0:08:48 It does make me wanna ask any, all of you,
    0:08:50 a question that’s fairly heretical,
    0:08:52 which is, you know, as a layperson,
    0:08:56 I read these findings, they’re attractive,
    0:08:59 they’re believable, they’re identifiable.
    0:09:01 But the thing that I always struggle with
    0:09:02 or would like to understand better
    0:09:06 is how you all can feel so confident
    0:09:08 that they’re generalizable.
    0:09:10 There must be people in the world
    0:09:12 who are not susceptible to loss aversion
    0:09:14 or recency bias or many, many of them.
    0:09:18 So really the question is, how much variance is there
    0:09:20 and how do you measure the variance?
    0:09:23 – You know, Amos used to have a joke
    0:09:28 that there were species that didn’t exhibit loss aversion
    0:09:30 and they’re now extinct.
    0:09:33 (audience laughing)
    0:09:38 – Think about what Maya Bar-Huelel was saying there
    0:09:42 about the smart errors we all make.
    0:09:45 It would be easy to overlook the baseline insight
    0:09:46 that Danny Kahneman offered,
    0:09:51 that people make thinking mistakes all the time.
    0:09:52 Now, most of us, upon hearing this,
    0:09:54 might say, no kidding.
    0:09:59 Our species is highly fallible, who doesn’t know that?
    0:10:03 But it is our fallibility, Kahneman realized,
    0:10:07 that makes us interesting and worthy of inspection.
    0:10:12 He accepted that humans are capable of wonderful things
    0:10:14 as well as terrible ones,
    0:10:17 but that we are overconfident in our abilities,
    0:10:20 that we often have poor self-control,
    0:10:24 and that we employ an arsenal of mental shortcuts
    0:10:28 or heuristics to make decisions or reach judgments
    0:10:30 that often turn out poorly.
    0:10:33 And even when presented with evidence of our mistakes,
    0:10:36 we usually fail to change our minds.
    0:10:38 Here is Eldar Shafir,
    0:10:40 who runs the Kahneman-Triesman Center
    0:10:43 for Behavioral Science and Public Policy at Princeton.
    0:10:47 He and Kahneman used to co-teach a class.
    0:10:49 – One lecture that I love that Danny used to give
    0:10:52 in our course, we would talk about people’s
    0:10:55 not good sense about conditional probabilities.
    0:11:01 And then we had a clip of the O.J. Simpson trial
    0:11:05 where Dershowitz explains to the jury
    0:11:08 that the probability that a beaten woman
    0:11:11 is gonna be killed by her beating partner
    0:11:14 is extremely low, which is true.
    0:11:16 However, we’re not predicting the chance
    0:11:17 that Nicole Simpson will be killed.
    0:11:19 She has been killed.
    0:11:22 The probability that a beaten woman who has been killed
    0:11:25 was killed by her partner is immensely high.
    0:11:28 That nuance of not being sensitive to these conditionals
    0:11:30 has major implications.
    0:11:37 He was so genuinely curious and intellectually alive,
    0:11:40 he presented the same way to the Swedish monarchy
    0:11:42 and to an undergraduate.
    0:11:43 He just wanted to think about it.
    0:11:46 He wanted to struggle with the question.
    0:11:49 He wanted to listen and think of the best theory.
    0:11:50 That was what’s so impressive.
    0:11:52 When we talk together, we took turns lecturing.
    0:11:56 Here was Danny, I mean, before and after the Nobel,
    0:11:58 and every class he would come and sit down
    0:11:59 with the students and listen.
    0:12:00 He could easily not have shown up.
    0:12:01 It’s other people’s lecturing.
    0:12:03 He was always there, asking questions,
    0:12:05 answering questions, devoted to understanding.
    0:12:07 Always had a new thought about something
    0:12:10 that we have done on slides for three years in a row.
    0:12:12 (gentle music)
    0:12:14 And many things were written about Kahneman.
    0:12:16 I’m always amused by the fact that they say
    0:12:19 he was aware of these quirks and fallacies,
    0:12:21 but he was aware that he has them too.
    0:12:23 And that sort of implies that since he was aware,
    0:12:25 it wasn’t as big a deal.
    0:12:28 There’s a couple of recorded interviews with Danny
    0:12:30 during COVID, where he predicts
    0:12:33 that COVID means life imprisonment
    0:12:36 for the more advanced in age.
    0:12:37 And he was wrong.
    0:12:39 He lived a couple of wonderful years after COVID.
    0:12:41 There was a sense in which he really sank deep
    0:12:45 into the same error that he was able to predict
    0:12:46 and acknowledge.
    0:12:48 The other amazing thing about Danny
    0:12:52 is when he won the Nobel Prize, you have to give a lecture.
    0:12:56 And he gave a lecture and decided he was going
    0:13:01 to give a new interpretation of all of his work with Amos.
    0:13:06 Using this two system approach.
    0:13:10 I kept saying, Danny, you have two months to do this.
    0:13:11 Why are you starting over?
    0:13:15 They gave you a Nobel Prize for what you did.
    0:13:18 You don’t need a new reinterpretation,
    0:13:23 but that lecture in Stockholm was the beginning
    0:13:26 of what led to thinking fast and slow
    0:13:31 because he was reinterpreting all the heuristics
    0:13:36 and biases stuff in the lens of system one
    0:13:40 and system two, which is your immediate reaction
    0:13:43 versus when you sit down and think about it.
    0:13:44 – What this story suggests to me,
    0:13:47 but tell me if I’m wrong, is that he understood
    0:13:51 that having an audience like the Nobel committee audience
    0:13:54 and the King or Queen or whatever of Sweden
    0:13:56 and that his voice was now amplified
    0:13:58 that he wanted to take the work that he’d done
    0:14:01 and make it accessible, make it known
    0:14:03 to people who have some levers of power.
    0:14:07 He wanted to exploit a good opportunity.
    0:14:09 – I don’t like the word exploit.
    0:14:12 – Exploit for pro-social reasons, a good opportunity.
    0:14:14 – Thank you, thank you.
    0:14:17 – Yeah, I think he had an audience
    0:14:19 and wanted to get it out there,
    0:14:24 but it was torture for him, absolute torture.
    0:14:29 I mean, during the writing of Thinking Fast and Slow.
    0:14:31 – Which was a long gestation.
    0:14:34 – Long gestation.
    0:14:38 And he decided absolutely positively
    0:14:41 that he was quitting two dozen times.
    0:14:44 – You know, Danny in some sense really was a bon vivant.
    0:14:45 I mean, he enjoyed life.
    0:14:47 He loved a good restaurant.
    0:14:49 He loved a good vacation.
    0:14:51 And I think he loved getting the prize.
    0:14:53 – I don’t think he changed.
    0:14:57 I mean, yes, the world was paying more attention to him,
    0:14:59 but he was always Danny.
    0:15:00 – He changed.
    0:15:01 – He was happier.
    0:15:02 – Okay.
    0:15:02 (audience laughing)
    0:15:03 – No, I would like to say–
    0:15:06 – If Maya says that, I accept.
    0:15:10 – I would like to say in what way he relaxed.
    0:15:11 – That was relaxed?
    0:15:13 (audience laughing)
    0:15:15 – Yes, yes.
    0:15:16 – What do you mean by that, Maya?
    0:15:17 – He had made it.
    0:15:20 There was a common misperception
    0:15:23 that the Tversky-Kahaneman collaboration
    0:15:26 was not symmetrical.
    0:15:31 The world seemed to think that Amos was the lead
    0:15:34 and Danny was an outside visitor.
    0:15:39 It was a symmetrical and equal collaboration,
    0:15:41 but the world didn’t know it.
    0:15:44 It was very important to Danny
    0:15:48 to be able to do good work after Amos dies
    0:15:51 so that people won’t continue with this error
    0:15:53 that he was less than equal.
    0:15:57 So the prize told the world,
    0:16:00 this man is noble worthy,
    0:16:02 and he did excellent work
    0:16:04 because he had an excellent mind,
    0:16:08 but also it was important for him
    0:16:13 that Kahaneman not die the name together with Tversky,
    0:16:14 and it didn’t.
    0:16:17 – As I said earlier,
    0:16:19 the main ideas of Danny Kahneman
    0:16:20 have been threaded through the fabric
    0:16:22 of Freakonomics Radio over the years.
    0:16:25 Episode 323, for instance,
    0:16:27 which was about the planning fallacy.
    0:16:30 It’s called Here’s Why Your Projects Are Always Late
    0:16:31 and What to Do About It.
    0:16:34 Then there’s episode 271,
    0:16:36 The Men Who Started a Thinking Revolution.
    0:16:38 That was an interview with Michael Lewis
    0:16:40 about the book he wrote
    0:16:42 on the Kahneman-Tversky partnership.
    0:16:45 Lewis’ book is called The Undoing Project,
    0:16:47 a friendship that changed our minds.
    0:16:50 So yes, you may be familiar
    0:16:51 with Kahneman’s greatest hits,
    0:16:55 but one of the conversations we had at this conference
    0:16:58 went into an area I knew very little about,
    0:17:00 and I bet you don’t either.
    0:17:02 That’s coming up after the break.
    0:17:02 I’m Stephen Dubner,
    0:17:04 and this is Freakonomics Radio.
    0:17:07 (dramatic music)
    0:17:15 – Good morning.
    0:17:17 Good morning.
    0:17:21 We have a session this morning,
    0:17:24 as you know, on adversarial collaboration.
    0:17:26 – Day two of the conference,
    0:17:28 with a panel devoted to a different way
    0:17:32 of doing business in the behavioral sciences.
    0:17:34 Let’s begin with a short clip
    0:17:36 from the late Danny Kahneman.
    0:17:39 This was recorded in 2022.
    0:17:43 – Controversy is a terrible way to advance science.
    0:17:45 It is normally conducted as a contest,
    0:17:47 and with the aim is to embarrass.
    0:17:49 The feature that makes most critiques
    0:17:52 intellectually useless is a focused
    0:17:54 on the weakest argument of the adversary.
    0:17:56 It is common for critics
    0:17:59 to include a summary caricature of the target position,
    0:18:02 refute the weakest argument in that caricature,
    0:18:04 and declare the total destruction
    0:18:06 of the adversary’s position.
    0:18:10 It’s rare for anyone to concede anything.
    0:18:14 Doing angry science is a demeaning experience.
    0:18:17 – Doing angry science, Kahneman came to believe,
    0:18:19 was a terrible thing.
    0:18:21 He knew this firsthand.
    0:18:26 Before the accolades, the prizes, the acceptance,
    0:18:30 Kahneman and Tversky came under a great deal of criticism.
    0:18:32 – Kurt Gigerendzer published his first critique
    0:18:34 of our work 37 years ago,
    0:18:36 and he’s still not done with me.
    0:18:39 – And here again is Richard Thaler.
    0:18:41 – I’ve certainly had my share
    0:18:44 of angry science exchanges.
    0:18:48 They’re no fun, and there’s never any light, only heat.
    0:18:50 – And that’s why Kahneman came up with a different model,
    0:18:54 what he called an adversarial collaboration.
    0:18:58 – He felt that this is the right way to do science.
    0:19:03 All of the collaborations shed more light than heat.
    0:19:08 The typical debates in academia are exactly the opposite.
    0:19:11 So I think Danny has a good point.
    0:19:13 – Kahneman was trying to solve a fundamental problem
    0:19:15 in social science research.
    0:19:18 It’s natural for scientists to disagree with one another,
    0:19:21 but there’s no clear mechanism
    0:19:23 for resolving those disagreements.
    0:19:28 So what if researchers who disagree work together
    0:19:31 in good faith to resolve the issue?
    0:19:34 And what if they take on a neutral third party
    0:19:36 to serve as an arbiter?
    0:19:40 That is what Kahneman called an adversarial collaboration.
    0:19:43 He participated in a variety of them over the years.
    0:19:45 The conversation you are about to hear
    0:19:48 includes some of the key players.
    0:19:50 Let’s start with introductions.
    0:19:51 – I’m Tom Gilovich.
    0:19:55 I’m a social psychologist at Cornell University.
    0:19:58 – I’m Barbara Millers from the University of Pennsylvania.
    0:20:02 And I was fortunate to be the arbiter
    0:20:07 in two adversarial collaborations with Danny, 20 years apart.
    0:20:07 – I’m Matt Killingsworth.
    0:20:10 I’m also at the University of Pennsylvania.
    0:20:12 And I study human happiness and all being,
    0:20:13 like what makes life worth living
    0:20:15 and how do we collect data to try to understand
    0:20:17 what makes life better?
    0:20:18 – My name is Shane Frederick.
    0:20:21 I am a professor at the Yale School of Management.
    0:20:23 (audience applauding)
    0:20:25 – Tom Gilovich, let’s start with you.
    0:20:26 Let’s hear basically the story
    0:20:29 of the adversarial collaboration with Danny.
    0:20:31 It began quite early in your career.
    0:20:33 Give us the whole story.
    0:20:36 – I had published with Vicky Medvick a chapter
    0:20:38 in a book on counterfactual thinking.
    0:20:42 When I wrote the chapter, I don’t know if I was aware
    0:20:45 that Danny was going to write the wrap up chapter
    0:20:47 where he comments on all of the other ones.
    0:20:50 So I don’t know if his voice was in my head
    0:20:52 as we’re writing the chapter.
    0:20:53 – What’s the chapter about?
    0:20:54 What’s it cover?
    0:20:56 – A lot of it covers the subject of regret,
    0:20:58 what we regret most in life.
    0:21:01 Amos and Danny had published a study showing
    0:21:04 you regret things of action more than inaction.
    0:21:07 The example they used is imagine you own stock
    0:21:10 in one company, you think, okay, that’s run the course.
    0:21:12 You switch to another and it tanks,
    0:21:14 you lose a certain amount of money.
    0:21:17 Versus you’re thinking about buying this stock,
    0:21:20 you decide not to, it takes off
    0:21:21 and you lose the same amount of money.
    0:21:23 Which would you regret more?
    0:21:25 And almost everyone anticipates
    0:21:28 that you’d regret the action the most.
    0:21:30 Nonetheless, if you ask people,
    0:21:32 what are the biggest regrets in your life?
    0:21:35 What dominates are things they didn’t do?
    0:21:37 And so a lot of the chapter was
    0:21:40 how do you reconcile those two things?
    0:21:43 – In approaching this riddle or puzzle in your mind,
    0:21:47 how did you measure what was your actual research?
    0:21:50 Our research was what’s responsible for that difference?
    0:21:52 How do things change over time?
    0:21:57 Precisely because your regrets of action really hurt.
    0:21:58 You do things about them.
    0:22:00 Sometimes you change your life accordingly
    0:22:04 or you certainly engage in lots of psychological work
    0:22:07 to achieve some level of peace.
    0:22:11 Because the inaction regrets gnaw at you less powerfully,
    0:22:13 you sort of leave them alone.
    0:22:16 The fun of that research was tracking down
    0:22:19 all of the different psychological processes
    0:22:24 that make those regrets of inaction hang around
    0:22:27 or in some cases even get more intense.
    0:22:31 Whereas the regrets of action dissipate.
    0:22:32 – How do you do that though?
    0:22:33 Is it empirical?
    0:22:34 Is it theoretical?
    0:22:35 – It’s empirical.
    0:22:37 For example, one of the mechanisms
    0:22:39 that we thought was especially interesting
    0:22:42 is when you don’t do something
    0:22:44 that you later on end up regretting.
    0:22:46 There are reasons for that.
    0:22:48 I just don’t have the bandwidth right now
    0:22:50 to take this project on, et cetera.
    0:22:53 Those are compelling reasons in the moment
    0:22:55 for why you’re not doing this thing.
    0:22:58 You move along in time, you look back and you think,
    0:23:00 wait a minute, I could have done that.
    0:23:02 So we would do studies where we’d ask
    0:23:05 Cornell current students, recent alums,
    0:23:07 or much older alums.
    0:23:10 Imagine there’s a class that you always wanted to take
    0:23:12 but maybe you were a little afraid to.
    0:23:14 Suppose we added that to your curriculum
    0:23:15 this semester, the students are like,
    0:23:18 oh, I can barely hang on right now.
    0:23:20 You add that, it’s a catastrophe.
    0:23:23 You ask the people who graduated many years ago,
    0:23:25 they think, oh, that’s a piece of cake.
    0:23:27 I wouldn’t have interfered with my GPA, my social life,
    0:23:29 the amount of sleep I get, et cetera.
    0:23:31 – Okay, so you write up the findings.
    0:23:35 At what point then and in what way do you hear from Danny?
    0:23:37 – It’s sort of a highlight of my career.
    0:23:41 I was on sabbatical, check in your voice messages
    0:23:44 back at Cornell and I get this message.
    0:23:47 Tom, this is Danny Kahneman.
    0:23:50 I’ve just read your paper with Medvic, it’s brilliant.
    0:23:54 It made my day just calling to say thank you.
    0:23:56 What a piece of work.
    0:24:01 And then I stupidly press star delete
    0:24:03 instead of saving that message forever
    0:24:04 to play to my grandkids.
    0:24:08 So I’m just on a high for a while.
    0:24:11 Two weeks later, there’s another phone call
    0:24:13 from Danny Kahneman, this time live.
    0:24:17 Oh, great, my new best friend is gonna tell me about…
    0:24:20 Tom, I’ve been thinking more about your chapter.
    0:24:24 It’s all wrong.
    0:24:28 I’ve heard you’re planning to publish this.
    0:24:30 You can’t do that.
    0:24:33 If you do, people will go after you.
    0:24:35 And if no one does, I’m gonna go after you.
    0:24:39 What happened to Brilliant?
    0:24:42 Did he, in that conversation, give you his argument
    0:24:44 for why you thought now you were wrong?
    0:24:47 Yes, he said that there really isn’t a change
    0:24:51 in the intensity of either action or inaction regrets.
    0:24:54 There’s just a substitution of the kinds of things
    0:24:55 that you’re regretting.
    0:24:59 And the regrets of inaction really aren’t serious regrets.
    0:25:01 You might not even call them regrets.
    0:25:02 They’re more wistful.
    0:25:06 Like, oh, I wish I had learned to speak Esperanto.
    0:25:07 Said no one ever.
    0:25:09 Yeah. (laughing)
    0:25:11 All right, so what happens next?
    0:25:13 Well, lots of panic for a few days.
    0:25:16 Vicki Medvick and I, what do we do?
    0:25:18 It can’t be worse than this.
    0:25:22 And I think, I forget what there had been an example
    0:25:24 of an adversarial collaboration.
    0:25:25 I think it was Vicki’s idea.
    0:25:27 Hey, we should negotiate with him.
    0:25:30 Let’s see if we can do an adversarial collaboration.
    0:25:33 So we pitched it and he was very receptive.
    0:25:35 This was in what year, Tom?
    0:25:38 Chapter came out in ’95, so it was a little before that.
    0:25:42 So this was pre-zoom, certainly, early internet.
    0:25:43 How are you communicating?
    0:25:45 And how did you negotiate the negotiation?
    0:25:47 Then how did the actual negotiation happen?
    0:25:49 I’m glad you asked that question
    0:25:51 ’cause it allows me to bring up a point about Danny
    0:25:55 that there’s been all this talk about his many qualities
    0:25:57 and they’ve all been well said.
    0:25:59 One thing kind of gets left out.
    0:26:02 I mean, to be at that level of success,
    0:26:05 you have to be brilliant and creative
    0:26:07 and many people have spoken about that.
    0:26:10 You just have to be a phenomenally hard worker.
    0:26:13 And man, he was on task all the time.
    0:26:15 It was amazingly easy to get that guy on the phone.
    0:26:17 I could get him on the phone more readily
    0:26:19 than I could get my co-author, Vicki, on the phone.
    0:26:21 And something seemed wrong about that.
    0:26:23 He was always ready to engage
    0:26:26 and so a lot of it happened over the phone.
    0:26:29 And the idea was, no, these regrets of inaction
    0:26:32 that you say are important in people’s later lives.
    0:26:34 They’re just sort of wistful regrets
    0:26:38 and the intense hot emotions that come from action.
    0:26:39 Those are different kinds of things.
    0:26:42 So we designed some studies where we asked people
    0:26:45 to think about the biggest regret of action or inaction.
    0:26:47 You designed the studies together.
    0:26:48 Then we ran them together, yes.
    0:26:52 So think of your biggest regrets of action or inaction
    0:26:56 from the recent past or the distant past.
    0:26:58 How many of these emotions do they lead you to feel?
    0:27:02 We had a set of five hot emotions,
    0:27:05 a set of five wistful emotions.
    0:27:08 We thought that those long-term regrets of inaction,
    0:27:09 some of them are wistful.
    0:27:12 I wish I had learned to play the piano,
    0:27:14 but some of them are really intense.
    0:27:17 You met the right person at the wrong time
    0:27:20 and so you let it pass and now you’re looking back like,
    0:27:22 oh, my life would have been much better
    0:27:25 if I had acted on that.
    0:27:30 We also asked people to rate whether a set of five,
    0:27:32 I think we called them emotions of despair.
    0:27:35 I’m depressed when I think about this.
    0:27:37 I feel empty when I think about this.
    0:27:40 And lo and behold, Danny was right.
    0:27:43 A lot of long-term regrets of inaction
    0:27:46 are kind of wistful, but we were right too.
    0:27:50 They also produced these big, powerful feelings of,
    0:27:53 oh, my life is not what it could have been.
    0:27:56 I feel empty and depressed thinking about these things
    0:28:00 that I didn’t do that now seem so easy to have done.
    0:28:02 – Did Danny, as a result,
    0:28:04 acknowledge that you were partially right
    0:28:06 as much as he acknowledged that he was partially right?
    0:28:08 – Yeah, yeah, and that’s in the paper.
    0:28:09 – So truly a happy ending.
    0:28:10 – I believe so, yeah.
    0:28:13 Certainly more happy than that second phone call
    0:28:14 that I got to.
    0:28:15 (audience laughing)
    0:28:17 – You then went on to collaborate with Danny
    0:28:18 several times, correct?
    0:28:19 – Yes.
    0:28:22 – I’m just curious now that Danny is gone
    0:28:24 and since your initial contact
    0:28:27 was this adversarial collaboration about regret,
    0:28:30 is there anything that you now regret
    0:28:33 not having worked on with Danny?
    0:28:36 – I wouldn’t say that there’s a particular topic in mind,
    0:28:40 but to have someone in your life like that
    0:28:42 and not take full advantage of it,
    0:28:44 I wish I had just reached out to him more
    0:28:47 to have more contact with him.
    0:28:50 One of the nice things about this event here
    0:28:54 is this family feeling of all the people
    0:28:56 he reached, some of whom I know well,
    0:28:59 some of whom I didn’t really know at all until now.
    0:29:01 They feel like family.
    0:29:03 So, you know, often with families,
    0:29:06 you wish you had spent more time with them.
    0:29:08 – Not my family, but, you know.
    0:29:13 (audience laughing and applauding)
    0:29:16 – The adversarial collaboration with Tom Gilovich
    0:29:19 was one of the earliest ones that Danny Kahneman undertook.
    0:29:22 Let’s take a look now at one of the most recent
    0:29:25 with Matt Killingsworth from the University of Pennsylvania.
    0:29:28 He studied engineering as an undergraduate
    0:29:32 and got his PhD in psychology in 2012.
    0:29:37 Danny Kahneman got his psychology PhD in 1961.
    0:29:39 So, how did Matt Killingsworth end up
    0:29:41 in an adversarial collaboration
    0:29:43 with this giant in the field?
    0:29:46 – Danny and Angus Deaton, both Nobel Prize winners,
    0:29:49 had this conclusion that there was sort of this plateau
    0:29:52 in people’s happiness once they reached $75,000 in income
    0:29:54 and then I’d published a paper
    0:29:56 that basically showed something completely different
    0:29:59 and we tried to figure out who’s right and what’s the truth.
    0:30:01 – You say it with this sort of sang froide
    0:30:04 that, you know, we published something completely different,
    0:30:06 but as you noted, you were publishing a paper
    0:30:08 in opposition to the findings of not one,
    0:30:10 but two Nobel laureates.
    0:30:12 Were you as calm and cool about it in the moment
    0:30:15 when you decided to take up this route
    0:30:16 as you seem to be now?
    0:30:18 – I mean, partly Danny is to blame,
    0:30:22 although he didn’t learn that before he passed away.
    0:30:24 I had written this as like a sub point to a sub point
    0:30:26 and another paper and actually reading
    0:30:29 Michael Lewis’s book about Danny and Angus,
    0:30:32 they were talking about how they took on existing ideas
    0:30:35 and that was an important part of their intellectual journey.
    0:30:37 And so I sort of rolled the dice and thought,
    0:30:38 “Well, I’ll try it.”
    0:30:40 But yeah, there was definitely some part
    0:30:42 in the back of my mind of like, how is this gonna go?
    0:30:45 I do have to ask at this particular conference,
    0:30:47 which is held in celebration
    0:30:49 of Danny Kahneman’s work in life,
    0:30:51 do you feel a little bit like, you know,
    0:30:52 the wolf in the hen house
    0:30:55 or that someone’s gonna come up and shiv you in the back
    0:30:56 at the buffet?
    0:30:57 – I hope not.
    0:31:00 No, I mean, we really had a wonderful collaboration
    0:31:03 and I think part of what characterized that is,
    0:31:05 we both just wanted to figure out the truth.
    0:31:07 I don’t think anyone was attached
    0:31:10 to any particular version of reality.
    0:31:13 My sense from him is that he was a little bit irritated,
    0:31:14 not a lot.
    0:31:15 – A lot is a lot.
    0:31:17 I mean, he wanted to have a good conversation,
    0:31:18 but he wasn’t–
    0:31:22 – For the record, that was Shane Frederick saying a lot.
    0:31:24 (laughing)
    0:31:26 Barb Millers, let’s bring you in here.
    0:31:30 How did you get attached to this adversarial collaboration?
    0:31:32 – Well, I was talking to Danny on the phone,
    0:31:35 not too long after Matt’s paper came out
    0:31:37 and he said, “Oh, by the way,
    0:31:40 “do you happen to know a guy by the name
    0:31:42 “of Matt Killingsworth?”
    0:31:45 And I said, “Well, as a matter of fact,
    0:31:47 “I do, and if you’d like me to be the arbiter,
    0:31:49 “I’d be happy to do so.”
    0:31:51 (laughing)
    0:31:54 In adversarial collaborations,
    0:31:57 the arbiter is the research assistant,
    0:32:03 the tiebreaker, and occasionally the therapist.
    0:32:07 – So Matt, how would you characterize the response
    0:32:10 to that original Kahneman-Deaton finding
    0:32:13 about the $75,000 happiness cutoff,
    0:32:16 whether inside academia or beyond?
    0:32:17 – I mean, it was very influential,
    0:32:20 and I mean, it’s probably one of the most visible,
    0:32:22 kind of an exciting findings.
    0:32:26 I think a lot of us feel like money is sort of overemphasized
    0:32:29 in our daily lives, and it kind of gives a justification
    0:32:31 for maybe carrying a little bit less about it
    0:32:33 and focusing more on all the other stuff
    0:32:35 that’s also really important for happiness,
    0:32:37 particularly because money is quantitative,
    0:32:39 you can kind of think of them as points.
    0:32:40 I’m like, “Well, I wanna get more,”
    0:32:42 but you can easily imagine a sort of trap
    0:32:44 where you’re just continuously trying to get
    0:32:46 more and more and more of those points,
    0:32:47 ignoring all of this other stuff,
    0:32:48 and wouldn’t it be nice
    0:32:50 if we could kind of step out of that cycle?
    0:32:52 At least that’s part of the reason
    0:32:54 that I think that that was so attractive.
    0:32:56 – So Matt, you’ve rehearsed very nicely
    0:32:59 the original finding, now bring you into the story here.
    0:33:00 What are you doing at the moment?
    0:33:03 – Sure, so partly also due to Danny,
    0:33:05 my research program is really centered
    0:33:08 on large-scale experience sampling,
    0:33:10 and to get at what that matters in the original study,
    0:33:12 those data were collected, how?
    0:33:14 In the original study, they basically asked,
    0:33:16 “Did you experience a lot of the following emotion
    0:33:18 “yesterday, yes or no?”
    0:33:20 And then it had a series of emotions
    0:33:24 like sadness, happiness, stress, et cetera.
    0:33:26 People would either say, “I did or I didn’t.”
    0:33:27 – And the technology or mechanism
    0:33:29 of harvesting those data was what?
    0:33:31 – I wasn’t involved in that data collection.
    0:33:34 I believe those were verbal phone calls,
    0:33:36 and then sort of interviewing people over the phone.
    0:33:38 – Does anyone here know anything different,
    0:33:40 or does that sound right, as far as we know?
    0:33:41 – That’s right.
    0:33:44 That was said with the voice of a referee, I have to say.
    0:33:45 (audience laughs)
    0:33:47 Okay, Matt, continue, please.
    0:33:50 So in my study, I’m essentially measuring
    0:33:52 people’s experience right in the moment.
    0:33:55 They’re carrying around on their phone an app,
    0:33:57 and I’m beeping them at random times.
    0:33:59 I’m asking them, “How do you feel right now?”
    0:34:00 And they’re responding on a scale
    0:34:03 that ranges from very bad to very good,
    0:34:04 and the scale is continuous.
    0:34:06 So there are a couple of things
    0:34:09 that distinguish that from the earlier paper.
    0:34:10 One is that it’s right at the time
    0:34:11 that people are feeling it,
    0:34:14 as opposed to the day as a whole, retrospectively.
    0:34:16 And the other is that gradations of feelings
    0:34:17 are on a continuous scale,
    0:34:20 as opposed to something that’s binary or dichotomous.
    0:34:22 – And the scale is what to what?
    0:34:24 It’s zero to 10, zero to 100.
    0:34:26 – Very bad to very good, and it’s just continuous.
    0:34:27 – So you can rake in anywhere you want.
    0:34:29 – There are hundreds of unique values.
    0:34:30 – Got it.
    0:34:31 – And describe the differences
    0:34:34 between the pools of research subjects
    0:34:35 in the original case and in your case?
    0:34:38 – In the original case, it was a survey by Gallup.
    0:34:40 It was either representative or at least an attempt
    0:34:43 to be representative of whatever random digit dialing was.
    0:34:46 That’s a relative strength of their paper
    0:34:47 and of that study in general.
    0:34:50 My sample, in contrast, was really a convenient sample.
    0:34:52 It’s turned out to be an amazing sample
    0:34:53 of people that have really beautiful results,
    0:34:56 but it was essentially whoever was willing to sign up
    0:34:58 to try to understand their own happiness.
    0:35:01 – What was the recruiting mechanism?
    0:35:03 – Largely thanks to folks like you,
    0:35:06 people in a hearing about it in the media,
    0:35:07 on the radio, reading about it.
    0:35:09 I think that’s interesting.
    0:35:10 I’d like to learn about that for myself.
    0:35:12 I’m willing to contribute to science.
    0:35:14 And it turns out that when I look at,
    0:35:15 what’s the distribution of incomes?
    0:35:17 For example, in my data,
    0:35:19 it’s almost a perfect match for the US census.
    0:35:21 I can replicate all kinds of things
    0:35:23 that we’ve seen in the literature for decades.
    0:35:25 So it turns out to be really good,
    0:35:27 but that’s kind of a lucky coincidence.
    0:35:32 – Okay, so you gather, assemble, analyze your data,
    0:35:34 talk about from the analysis point
    0:35:36 to writing up the findings.
    0:35:38 What I find when I look at this relationship,
    0:35:40 plotting people’s happiness in the moment
    0:35:43 versus their income, it just keeps going up.
    0:35:45 This sort of critical point
    0:35:47 where they had found in the earlier paper,
    0:35:50 this flatlining, I really see no difference at all.
    0:35:52 And when I write it up in the ultimate paper,
    0:35:55 I compare, well, what’s the slope below the point
    0:35:56 where they said it stops increasing?
    0:35:57 And the point above that,
    0:35:59 the slopes differ by less than 1%.
    0:36:02 I really see no evidence for a difference at all.
    0:36:05 Were you initially looking for that plateau in the data?
    0:36:06 – I was really just trying to understand
    0:36:08 what’s the relationship between these things
    0:36:10 that are obviously important.
    0:36:13 We’ve never had, in the moment, continuous data.
    0:36:15 And so I want to see, what does this look like?
    0:36:17 And it turns out, well, it doesn’t look like
    0:36:18 what we thought it looked like.
    0:36:23 – When you strike at a king, you must kill him.
    0:36:26 That’s from Ralph Waldo Emerson.
    0:36:28 Matt Killingsworth did strike
    0:36:31 at the king of his realm, Danny Kahneman.
    0:36:33 But what happened next?
    0:36:35 It’s coming up after the break.
    0:36:38 I’m Stephen Dovner, and this is Freakonomics Rating.
    0:36:48 (upbeat music)
    0:36:52 We’ve been hearing from Matt Killingsworth
    0:36:55 about his research on the relationship
    0:36:57 between income and happiness.
    0:37:00 Research that disputed elements of earlier research
    0:37:03 on the same topic by Daniel Kahneman.
    0:37:05 – So you write up the paper,
    0:37:09 and the paper, not quite directly,
    0:37:11 but quasi-directly, addresses the fact
    0:37:14 that your finding is contra
    0:37:18 to a significant earlier finding by significant scholars.
    0:37:20 What happens next?
    0:37:22 – There’s a fair amount of attention about it and so forth.
    0:37:24 Maybe a month or two afterwards,
    0:37:29 I get a note from Barb that she’s been chatting with Danny.
    0:37:31 – He’s talking about Barb Mellors,
    0:37:33 a longtime friend of Danny Kahneman,
    0:37:36 as well as a University of Pennsylvania colleague
    0:37:37 of Matt Killingsworth.
    0:37:39 – I think both of our attitudes
    0:37:41 was we just wanna find out the truth.
    0:37:43 I have no personal attachment
    0:37:45 to what I found particularly,
    0:37:48 and I don’t, other than his initial perhaps irritation,
    0:37:50 I don’t really think Danny did.
    0:37:52 It was really just what do we think is going on.
    0:37:55 – Did you envision that perhaps you would then collaborate
    0:37:56 with Danny on a joint study?
    0:37:58 – That certainly seemed to be the case
    0:37:59 once we got into it,
    0:38:02 but these kinds of data took me many years
    0:38:04 to collect that data for them.
    0:38:06 There were a client on an external organization
    0:38:07 with a lot of resources,
    0:38:10 and so we ended up doing it by going back
    0:38:11 and looking at my data, which existed,
    0:38:13 which made it tractable.
    0:38:15 I can sort of cut to the chase a little bit
    0:38:16 of how we did that if you want.
    0:38:18 – I wanna go back to Barb for just a second here.
    0:38:21 Barb, if you could give Danny’s perspective
    0:38:23 or participation up to the point here
    0:38:25 where we’re about to cut to the data.
    0:38:29 – The starting point for Danny was the assumption
    0:38:32 that both data sets were valid.
    0:38:35 So how could they be so different?
    0:38:39 There must be a resolution in the data somewhere,
    0:38:42 and so the task was going to be,
    0:38:44 Matt became the research assistant
    0:38:48 and started doing all the re-analyses on his data.
    0:38:51 – How would you characterize the tenor
    0:38:54 of this adversarial collaboration?
    0:38:57 – Really civil and nice,
    0:38:59 and just the way it should go.
    0:39:01 – So Matt, you said you could cut to the chase.
    0:39:03 We’re at the chase now, cut to it.
    0:39:05 – Essentially, the resolution was
    0:39:07 if we look at the range
    0:39:10 within my continuous happiness data,
    0:39:11 what if we look at the low end,
    0:39:13 which is the part where their measure
    0:39:14 would have been sensitive,
    0:39:16 can we find a similar pattern?
    0:39:18 And lo and behold, when you zero in on that,
    0:39:20 rather than looking at the average trend,
    0:39:21 which keeps going up,
    0:39:24 you get not exactly, but very, very close
    0:39:25 to what they found,
    0:39:27 certainly much closer to what they found
    0:39:29 than to what the average trend looks like.
    0:39:31 We both found that pretty convincing evidence
    0:39:34 that what they found is true,
    0:39:36 there’s nothing wrong with the analysis at all,
    0:39:38 but it was really a question of,
    0:39:40 how generally applicable is that?
    0:39:42 So from low to medium incomes,
    0:39:46 the unhappiest part of the distribution rises a lot,
    0:39:47 and then from medium to high incomes,
    0:39:51 the unhappiest part of the distribution barely changes.
    0:39:55 But the rest of the distribution is rising steadily,
    0:39:58 and in fact, at the high end of the happiness distribution,
    0:39:59 you get an inversion of that.
    0:40:01 So rather than a rise and then a plateau,
    0:40:05 you have sort of a shallow slope and then an acceleration.
    0:40:07 – So in my lay mind, as I’m trying to process all this,
    0:40:12 what I’m envisioning is that there is a cohort of people
    0:40:15 who are kind of cranky,
    0:40:19 and they may experience a little bit less crankiness
    0:40:20 as income rises,
    0:40:24 but there is a range in which their temperament
    0:40:26 may be overwhelms their income.
    0:40:28 – If anything, there’s one of the steepest slopes
    0:40:31 for the unhappiest people in the range of low income.
    0:40:33 So getting out of poverty, if you’re really miserable,
    0:40:35 is at least correlationally.
    0:40:36 – But that’s almost a different story,
    0:40:39 ’cause escaping poverty versus going from middle to upper.
    0:40:43 – If you aren’t poor and you’re really miserable,
    0:40:45 at least if you sort of extrapolate from there,
    0:40:46 it seems to not matter past that.
    0:40:49 And probably as we speculate in the paper,
    0:40:51 at that point, if you have a decent amount of money
    0:40:52 and you’re really unhappy,
    0:40:54 whatever’s making you unhappy probably isn’t due
    0:40:55 to the lack of resources.
    0:40:58 It’s something else going on in your life.
    0:41:00 Maybe it’s challenges in a family relationship,
    0:41:02 or maybe you’re depressed, or whatever it is,
    0:41:05 it’s something going on that perhaps money
    0:41:07 isn’t going to make a difference.
    0:41:09 – Richard, Taylor, let me ask you a question.
    0:41:12 You’ve just heard Matt’s presentation of his side
    0:41:13 of the original research,
    0:41:15 and then the adversarial collaboration,
    0:41:16 and then the conclusion,
    0:41:19 all of which I found honestly to be really fascinating.
    0:41:21 You know the literature well.
    0:41:24 You too have a Nobel Prize,
    0:41:26 although I have heard that was a clerical error.
    0:41:27 (audience laughing)
    0:41:30 How would you, looking at this from above,
    0:41:32 Barbara was there as an arbiter,
    0:41:34 Matt was one side,
    0:41:37 Danny was another side, but is not present,
    0:41:39 if you could give an ultimate proclamation on,
    0:41:41 not just where this finding arrived,
    0:41:43 but what the adversarial collaboration produced here,
    0:41:45 what would you say?
    0:41:47 – Look, I think this is the way it should work.
    0:41:49 This is a good story,
    0:41:52 and the world would be a better place,
    0:41:54 academia would be a much better place
    0:41:58 if there were more of these kinds of collaborations.
    0:42:01 – Would it affect what we sometimes
    0:42:04 call the replication crisis?
    0:42:06 – Uh, oof.
    0:42:08 – Barbara says, Barbara’s nodding her head, no,
    0:42:10 you say oof.
    0:42:12 – Yeah, let’s move on to Shane.
    0:42:15 (audience laughing)
    0:42:19 – The discomfort you were hearing there
    0:42:21 about the replication crisis,
    0:42:24 that discomfort is related to a two-part series
    0:42:27 we recently produced on academic fraud,
    0:42:31 episodes 572 and 573.
    0:42:33 And while we’re on the topic of discomfort,
    0:42:35 let me add one thing I’m thinking about
    0:42:36 as we’re in the middle of this conversation
    0:42:39 about adversarial collaborations.
    0:42:42 Danny Kahneman is said to have introduced this concept
    0:42:45 into the realm of behavioral research,
    0:42:47 but if you’re not a behavioralist,
    0:42:49 you could look at this as yet another example
    0:42:53 of how academic researchers discover something
    0:42:56 that people in the real world have been doing forever.
    0:43:00 There are all sorts of arbiters and referees out there,
    0:43:05 all sorts of processes for compromise and negotiation,
    0:43:08 even war games to test one plan against another
    0:43:10 and come up with the best solution.
    0:43:15 In the same vein, some people look at the big insights
    0:43:17 that have come out of this behavioralist research
    0:43:22 as essentially ESOP’s fables with a little bit of math.
    0:43:24 Earlier this year,
    0:43:27 we made a series about the late physicist Richard Feynman.
    0:43:30 He didn’t think the social sciences like psychology
    0:43:34 and even economics should be called science at all.
    0:43:38 He thought they were just too squishy to deserve that name.
    0:43:41 And as for psychologists discovering the idea
    0:43:43 of adversarial collaboration,
    0:43:47 well, Feynman was a junior member of the Manhattan Project,
    0:43:50 which in its quest to build an atomic bomb
    0:43:53 brought together the most brilliant
    0:43:57 and argumentative group of scientists ever assembled.
    0:43:59 That was adversarial, and yes,
    0:44:03 it was in the end a successful collaboration.
    0:44:06 Anyway, back to Chicago.
    0:44:09 As Richard Thaler suggests, let’s move on.
    0:44:12 Shane Frederick, he is a behavioral scientist at Yale
    0:44:16 who collaborated with Danny Kahneman on several projects
    0:44:18 and is cited throughout Kahneman’s book,
    0:44:20 Thinking Fast and Slow.
    0:44:22 Kahneman saw Frederick as a protege
    0:44:24 and they had a close relationship,
    0:44:27 sometimes a bit too close.
    0:44:29 – So I’m at 10 o’clock on a Monday,
    0:44:31 maybe like third quarter of Monday football.
    0:44:32 I get a call.
    0:44:35 – Shane, you said, are you watching the game?
    0:44:36 – It was one of the great times I wasn’t.
    0:44:38 I said, no, fantastic.
    0:44:39 I want to talk about heuristics.
    0:44:42 (audience laughing)
    0:44:45 Another time, it was like two o’clock in the morning,
    0:44:47 going back and forth, back and forth, back and forth.
    0:44:49 And thanks, I’m getting sleepy.
    0:44:52 And so, go to bed and I wake up in the morning
    0:44:54 in the very next email from Danny,
    0:44:56 “Shane, don’t play dead on me.”
    0:44:59 (audience laughing)
    0:45:01 – One idea they worked on together
    0:45:04 was the cognitive reflection test, or CRT.
    0:45:06 It is meant to measure a person’s ability
    0:45:09 to override their gut instinct
    0:45:11 and think more carefully about a problem.
    0:45:13 Here’s a famous example.
    0:45:16 A bat and a ball cost $1.10 in total.
    0:45:19 The bat costs $1 more than the ball.
    0:45:22 How much does the ball cost?
    0:45:26 If your first inclination is to say, 10 cents,
    0:45:30 congratulations, you were like just about everyone else.
    0:45:32 What the CRT measures is,
    0:45:35 can you slow down and actually calculate the answer
    0:45:37 rather than just go with your gut?
    0:45:42 If you can, you will find that the answer is five cents.
    0:45:47 Remember, the bat costs $1 more than the ball.
    0:45:49 Shane Frederick has spent much of his career
    0:45:52 designing such tests.
    0:45:53 – Some of the items are novel, some are invented,
    0:45:56 many of them I didn’t, I collect, some I’m revised.
    0:45:59 One goes back to at least 1919, their variance of it.
    0:46:00 – They were used then in an academic setting,
    0:46:01 or like an employment?
    0:46:03 – No, just like in books and riddles,
    0:46:04 stuff that Maya would read.
    0:46:05 (audience laughing)
    0:46:06 – But they weren’t stumpers.
    0:46:08 – No, they weren’t stumpers.
    0:46:13 – I think I must tell the audience what a stumper is, okay?
    0:46:16 – That again is Maya Bar-Huelal.
    0:46:19 – A one-way ride costs $10,
    0:46:22 a round trip costs $20,
    0:46:26 a passenger hands the cashier $20,
    0:46:28 saying absolutely nothing.
    0:46:30 The cashier knows right away
    0:46:32 that the passenger wants a round trip
    0:46:35 rather than a one-way and change.
    0:46:39 And the question is, how did the cashier know this?
    0:46:42 – Does anyone in the audience who does not know the answer
    0:46:46 to this stumper previously wanna take a guess to the answer?
    0:46:50 – If you’re stumped good,
    0:46:52 because that’s why they’re called stumpers.
    0:46:57 – A stumper is unlike one of Shane Frederick’s CRT questions
    0:46:59 in that your intuition doesn’t produce
    0:47:01 an obvious but wrong answer.
    0:47:04 – It only has to do with my love of riddles,
    0:47:07 which I share with my partner in this research,
    0:47:08 Shane Frederick.
    0:47:12 And we really came to this out of love of riddles,
    0:47:15 but we’re both professional psychologists.
    0:47:19 So we felt like we had to approach it
    0:47:21 from the point of view of psychology.
    0:47:22 Now, Danny.
    0:47:23 – Wait, wait.
    0:47:24 – Oh.
    0:47:25 – Answer please.
    0:47:27 – Oh, no way.
    0:47:29 No, I’m not gonna answer.
    0:47:32 That’s not what I was paid for.
    0:47:34 (audience laughs)
    0:47:36 – All right, I will answer.
    0:47:39 He handed the ticket agent two 10s.
    0:47:41 – Ah, very nice.
    0:47:43 – Did they pay you for that?
    0:47:45 (audience laughs)
    0:47:47 – I’m getting paid the same as you, Maya.
    0:47:50 (audience laughs)
    0:47:51 – But there was something more at stake here
    0:47:53 than answering a riddle.
    0:47:55 Barr Hillel, along with a co-author,
    0:47:58 wrote a paper arguing that cognitive reflection tests
    0:48:02 are not a good measurement of anything beyond math skills.
    0:48:07 And this argument led to an adversarial collaboration.
    0:48:09 – When I heard that Shane and Maya and Danny
    0:48:12 were having an adversarial collaboration,
    0:48:14 I didn’t know who was on which team.
    0:48:18 Maya and Danny go back 60 years.
    0:48:21 Shane is like his son for Danny.
    0:48:22 – The results of this collaboration
    0:48:24 have not yet been published,
    0:48:26 but Shane Frederick says that he and Kahneman
    0:48:30 essentially proved that the CRT is a good measure
    0:48:34 of cognitive abilities beyond just math skills.
    0:48:35 – It seemed to do quite well,
    0:48:37 and it’s doing well consistently.
    0:48:38 Time preferences, risk preferences,
    0:48:39 other sorts of things.
    0:48:41 – And how would you characterize the nature
    0:48:42 of the collaboration?
    0:48:44 How adversarial was it?
    0:48:48 – It wasn’t so adversarial between the opposing groups.
    0:48:50 It’s just like everybody’s fighting with everybody else,
    0:48:51 but everything.
    0:48:54 (audience laughs)
    0:48:56 – More like a family gathering, right?
    0:48:57 (audience laughs)
    0:49:00 – Does this suggest that an adversarial collaboration
    0:49:02 is not as useful as one might hope
    0:49:04 if the actual adversaries are not often
    0:49:06 in the ring with the collaborators?
    0:49:09 – I mean, I don’t think it will work.
    0:49:10 Do you, Barb?
    0:49:13 – Do these things work?
    0:49:15 Well, what does work mean?
    0:49:16 It depends on your definition.
    0:49:20 If you think people change their minds all the way,
    0:49:21 no, it doesn’t work.
    0:49:26 If they change their minds a bit, that’s good.
    0:49:29 And it speeds up science too.
    0:49:31 Somebody’s looking over your shoulder
    0:49:34 and making sure you’re not making mistakes,
    0:49:36 you’re defining variables more precisely,
    0:49:38 you’re designing an experiment
    0:49:41 that gets right at the core issue.
    0:49:42 It’s the way to go.
    0:49:45 (piano music)
    0:49:47 – Well, I could listen to the five of you talk
    0:49:49 for five hours.
    0:49:50 There are sessions that need to happen.
    0:49:52 This room is turning over.
    0:49:53 I thank you so much.
    0:49:54 This was a great conversation.
    0:49:58 (audience applauds)
    0:50:00 – Sorry, there is a clause in the contract
    0:50:02 that Thaler must always have every last word, so.
    0:50:05 – I was just gonna say something nice about you,
    0:50:06 but if you insist, I’ll skip it.
    0:50:09 (audience laughs)
    0:50:13 – And that was, again, Richard Thaler.
    0:50:16 I would like to thank him for putting this event together
    0:50:18 and inviting us to join.
    0:50:21 Thanks also to the other participants.
    0:50:23 It was a pretty wonderful event
    0:50:26 and I’m glad we were able to share it with you.
    0:50:29 And if you need more Richard Thaler in your life,
    0:50:31 and who doesn’t need more Thaler in their lives,
    0:50:34 we are going to publish a bonus episode very soon,
    0:50:36 an update of a great conversation
    0:50:38 I had with Thaler a few years ago.
    0:50:42 It’s called People Aren’t Dumb, The World is Hard.
    0:50:44 So keep your ears out for that.
    0:50:47 Meanwhile, on the next regularly scheduled episode
    0:50:51 of Freakonomics Radio, a close-up look at an industry
    0:50:54 that’s all about close-up looking.
    0:50:58 I like for my glasses to have a bit of pizzazz,
    0:51:00 especially if you’re wearing them every day.
    0:51:03 – We’re gonna see half of the global population
    0:51:05 being myopic by 2015.
    0:51:07 – When you are a vertically integrated player,
    0:51:10 you master every step within the value chain.
    0:51:14 – The margins, even by luxury good standards, are obscene.
    0:51:17 – Eyewear is a $150 billion industry
    0:51:21 and what you see is not quite what you get.
    0:51:23 That’s next time on the show.
    0:51:25 Until then, take care of yourself,
    0:51:28 and if you can, someone else too.
    0:51:33 Freakonomics Radio is produced by Stitcher and Renbud Radio.
    0:51:36 You can find our entire archive on any podcast app
    0:51:38 also at Freakonomics.com,
    0:51:41 where we publish transcripts and show notes.
    0:51:43 This episode was produced by Zach Lipinski,
    0:51:46 with live recording by Greg Rippen.
    0:51:49 Special thanks to conference organizers Amy Boonstra,
    0:51:51 Mark Tomelko, and Chris Partridge,
    0:51:54 as well as the Black Oak AV team.
    0:51:57 Our staff also includes Alina Cullman, Augusta Chapman,
    0:51:59 Dalvin Abouaji, Eleanor Osborn,
    0:52:02 Elsa Hernandez, Gabriel Roth, Jasmine Klinger,
    0:52:04 Jeremy Johnston, Julie Canfer,
    0:52:06 Lyric Bowditch, Morgan Levy, Neil Coruth,
    0:52:10 Rebecca Lee Douglas, Sarah Lilly, and Teo Jacobs.
    0:52:12 Our theme song is “Mr. Fortune”
    0:52:13 by the Hitchhikers.
    0:52:16 Our composer is Luis Guerra.
    0:52:18 As always, thank you for listening.
    0:52:20 – I think my mind was wandering.
    0:52:23 I have that effect on people, I’ve been told.
    0:52:25 (audience laughing)
    0:52:28 (upbeat music)
    0:52:31 – The Freakonomics Radio Network,
    0:52:33 the hidden side of everything.
    0:52:36 (upbeat music)
    0:52:37 Stitcher.
    0:52:40 (gentle music)

    Daniel Kahneman left his mark on academia (and the real world) in countless ways. A group of his friends and colleagues recently gathered in Chicago to reflect on this legacy — and we were there, with microphones.

     

    • SOURCES:
      • Maya Bar-Hillel, professor emeritus of psychology at the Hebrew University of Jerusalem.
      • Shane Frederick, professor of marketing at the Yale School of Management.
      • Thomas Gilovich, professor of psychology at Cornell University.
      • Matt Killingsworth, senior fellow at the Wharton School of the University of Pennsylvania.
      • Barbara Mellers, professor of psychology at the University of Pennsylvania.
      • Eldar Shafir, director of the Kahneman-Treisman Center for Behavioral Science & Public Policy at Princeton University.
      • Richard Thaler, professor of behavioral science and economics at the University of Chicago.

     

     

  • 595. Why Don’t We Have Better Candidates for President?

    AI transcript
    0:00:09 If you saw the recent presidential debate between Joe Biden and Donald Trump, you may
    0:00:15 have found yourself thinking, “Really, these are the two best candidates the United States
    0:00:16 has to offer?
    0:00:19 How did that happen?”
    0:00:23 The episode you’re about to hear can help explain how that happened.
    0:00:29 The core of this episode was first published in 2018 during Donald Trump’s presidency.
    0:00:33 This is an update, but we’ve also added a new voice.
    0:00:36 Andrew, it’s Stephen.
    0:00:37 How are you?
    0:00:38 Hey, Stephen.
    0:00:39 How are you, my friend?
    0:00:40 First of all, just introduce yourself, please.
    0:00:41 I am Andrew Yang.
    0:00:49 I’m an all-around, interesting Bon Vivant.
    0:00:51 Andrew Yang has been on this show before.
    0:00:57 The first time was in early 2019 in an episode we called “Why Is This Man Running for President?”
    0:01:02 Yang did run as a Democrat in the 2020 election, and for a time he was everyone’s favorite
    0:01:07 entrepreneur, a businessman with a taste for policy research.
    0:01:11 He offered sharp diagnoses and prescriptions for some of our country’s biggest economic
    0:01:13 and social problems.
    0:01:19 In support, there arose a substantial Yang gang, and his campaign caught fire for a while.
    0:01:25 He made the big Democratic debate stage in 2020, but ultimately he flamed out.
    0:01:29 In 2021, he ran for mayor of New York City.
    0:01:31 He lost that election, too.
    0:01:36 Soon after, he left the Democratic Party and launched what is called the “Forward Party.”
    0:01:37 Why?
    0:01:43 Imagine if you had a business, a restaurant, eight out of ten of your customers were unhappy,
    0:01:48 and then you proceeded to change absolutely nothing for years at a time.
    0:01:51 That’s the way most Americans interact with our political system.
    0:01:56 Okay, so you recently gave this TED talk called “Why U.S. Politics Is Broken and How
    0:01:57 to Fix It.”
    0:01:59 Can you give me the TLDR on that?
    0:02:00 Sure thing.
    0:02:03 Why are we so ticked off all the time?
    0:02:04 A lot of us are, at least.
    0:02:07 And I tried to make the case in numbers.
    0:02:13 There’s a 15% approval rating for U.S. Congress today and a 94% re-elect rate for incumbent
    0:02:14 House members.
    0:02:20 So the fiction we’ve been sold is our leaders have to make 51% of us happy to stay in office.
    0:02:23 That’s actually not true for nine out of ten seats.
    0:02:28 The real job of members is to stay on the good side of their party’s base voters.
    0:02:33 And if they win their primary, they cruise, but all of their attention and energy is on
    0:02:34 making sure they win the primary.
    0:02:38 Is it fair to overall call that setup a duopoly?
    0:02:43 Oh yeah, of course it’s fair to call it a duopoly, where the two parties have carved
    0:02:48 up the country into blue zones and red zones, and it’s very hard for certainly anyone else
    0:02:52 to run and win in the vast majority of locations.
    0:02:55 And what other duopolies does our political duopoly remind you of?
    0:02:59 You know, the first thing that popped into my mind for me was something like Microsoft
    0:03:00 and Apple.
    0:03:03 I don’t know if there are others that pop into people’s minds.
    0:03:05 Pepsi and Coke, maybe?
    0:03:06 Pepsi and Coke, sure.
    0:03:07 Boeing and Airbus?
    0:03:08 Yeah, definitely.
    0:03:09 Visa MasterCard?
    0:03:12 The Discover fans would agree.
    0:03:20 OK, the episode you are about to hear is called America’s Hidden Duopoly, first published,
    0:03:22 as I mentioned, several years ago.
    0:03:27 We’ve updated facts and figures as necessary, but things being what they are, there wasn’t
    0:03:29 all that much updating needed.
    0:03:33 What is new is a conversation later on with Andrew Yang about what could and should be
    0:03:34 done.
    0:03:39 I think this is one of the most important episodes we’ve ever made, and that is reflected
    0:03:42 in the amount of correspondence we still get about this topic.
    0:03:46 And that’s why we thought this episode was due for an update.
    0:03:52 As always, thanks for listening.
    0:03:57 Imagine a gigantic industry that’s being dominated by just one or two companies.
    0:03:59 Actually, you don’t have to imagine.
    0:04:04 Google has more than 90% of the global search engine market.
    0:04:08 So not quite a monopoly, but pretty close.
    0:04:14 Such cases are rare, but not so rare is the duopoly when two firms dominate an industry
    0:04:21 like Intel and AMD and computer processors, Boeing and Airbus and jet airliners, the Sharks
    0:04:25 and the Jets and the fictional gangs from the 50s industry.
    0:04:34 But surely the most famous duopoly is this one.
    0:04:45 The rivalry between Coca-Cola and Pepsi-Cola goes back to the 19th century.
    0:04:50 Coke was long dominant, but in the 1970s and 80s, Pepsi gained ground and marketed hard
    0:05:05 to younger consumers.
    0:05:11 Coke’s internal research found that most people, even Coke employees, preferred Pepsi.
    0:05:17 In 1985, they abandoned their classic recipe in favor of New Coke, which tasted more like
    0:05:18 Pepsi.
    0:05:19 This did not work out so well.
    0:05:22 I’m Don Keough, president of the Coca-Cola Company.
    0:05:26 When we brought you the new taste of Coke, we knew that millions would prefer it and
    0:05:27 millions do.
    0:05:31 What we didn’t know was how many thousands of you would phone and write asking us to
    0:05:35 bring back the classic taste of original Coca-Cola.
    0:05:38 Coke eventually got rid of New Coke altogether.
    0:05:43 And despite the flip-flop, or maybe because of it, and the attendant-free media, in any
    0:05:46 case, Coke regained the top spot.
    0:05:52 Today, even as soda consumption falls, the rivalry rages on, with both companies adding
    0:05:56 juices, teas, and waters to their portfolios.
    0:06:01 You can afford to make those big acquisitions when you’ve got a ton of cash on hand, when
    0:06:05 you’re one of just two companies sharing a huge market.
    0:06:11 And there’s another advantage to being half of a duopoly, self-perpetuation.
    0:06:16 This was covered pretty extensively in the media during the so-called cola wars.
    0:06:19 The quote “war” is good for both of them.
    0:06:26 I believe the Coke and Pepsi together, this cola war they’ve been in for decades now,
    0:06:30 actually helped each other sell an awful lot of product.
    0:06:35 There are plenty of reasons why duopolies exist, and they’re not necessarily all sinister.
    0:06:41 In capitalism, scale is really important for all sorts of advantages to being big, which
    0:06:47 leads big companies to get even bigger, gobbling up smaller companies and essentially dictating
    0:06:50 the rules of their market.
    0:06:53 Not everyone likes this trend.
    0:06:58 In many quarters, there’s a strong appetite for a smaller scale, for mom-and-pop and Indian
    0:06:59 artisanal.
    0:07:06 But, let’s be honest, that smaller scale idea is cute, but it’s not winning.
    0:07:09 What’s winning is dominance.
    0:07:12 Other industries dominated by just a couple behemoths.
    0:07:18 We’ve already given you a few examples from a variety of industries, but there’s another
    0:07:24 duopoly, a mighty one, that you probably don’t even think about as an industry.
    0:07:25 Which duopoly am I talking about?
    0:07:27 I’ll give you some clues.
    0:07:30 Let’s go back over what we just discussed about duopolies.
    0:07:35 They’re big institutions that take advantage of their size to get even bigger.
    0:07:39 I’m talking to consultants on both sides, many of whom have been doing this for a long
    0:07:43 time, and they’ve never seen this amount of money.
    0:07:49 As we said, not everyone likes this trend, but the opposition is not winning.
    0:07:54 I’d like to see more competition, you know, competition makes a better product.
    0:07:58 And this leaves an entire industry run by just two behemoths.
    0:08:06 Ladies and gentlemen, my mother, my hero, and our next president.
    0:08:13 And I could not be more proud tonight to present to you and to all of America my father and
    0:08:21 our next president, Hillary Clinton, Donald J Trump.
    0:08:26 Does it surprise you to hear our political system characterized as an industry?
    0:08:28 It surprised this guy.
    0:08:29 Absolutely never thought of it in those terms.
    0:08:33 And that’s Michael Porter, the world famous business strategist.
    0:08:36 And at the core of it is what we call the duopoly.
    0:08:40 Comparing our political system to something like Coke and Pepsi, I can’t be right, can
    0:08:41 it?
    0:08:43 No, Porter says.
    0:08:44 It’s worse than that.
    0:08:49 Coke and Pepsi don’t control their market nearly as fully as the Republicans and Democrats
    0:08:50 do.
    0:08:53 Even in soft drinks, we have a lot of new competitors.
    0:08:57 Even though Coke and Pepsi are so big, they don’t truly dominate.
    0:09:02 Indeed, Coke and Pepsi only control about 70 percent of the soft drink market.
    0:09:08 At least they’ve got the Dr. Pepper Snapple Alliance to worry about, whereas Republicans
    0:09:14 and Democrats, you can take all the libertarians and independence, the Green Party, working
    0:09:20 families party, the American Delta Party, the United States Pirate Party, which is a
    0:09:21 real thing.
    0:09:26 You add them all together and they’re not even close to Dr. Pepper.
    0:09:31 And yet from both Republicans and Democrats in Washington, we’ve been hearing the same
    0:09:33 complaint for decades now.
    0:09:36 Washington is totally broken.
    0:09:38 Washington is broken.
    0:09:40 This system is broken.
    0:09:41 It’s not working.
    0:09:42 Washington is not working.
    0:09:46 Mr. Speaker, Washington is broken.
    0:09:50 But what if the Washington is broken idea is just a line?
    0:09:53 I like to teach the world to sing.
    0:09:57 Maybe it’s even a slogan, but the industry approves.
    0:10:04 Yeah, what if they’re just selling and we’re buying?
    0:10:05 What if it’s not broken at all?
    0:10:10 The core idea here is that Washington isn’t broken.
    0:10:17 In fact, it turns out that Washington is doing exactly what it’s designed to do today on
    0:10:19 Freakonomics Radio.
    0:10:22 Is Washington really an industry just like any other?
    0:10:23 How to get that way?
    0:10:25 And what’s it mean?
    0:10:44 And when the duopoly wins, does that mean the rest of us lose?
    0:10:50 This is Freakonomics Radio, the podcast that explores the hidden side of everything with
    0:11:01 your host, Stephen Dubner.
    0:11:07 Once upon a time, there was a dairy products company in Wisconsin called Gale Foods, G-E-H-L.
    0:11:09 My name is Katherine Gale.
    0:11:11 Katherine Gale was the CEO of the company.
    0:11:15 It had been founded well over a century earlier by her great-grandfather.
    0:11:21 For years, Gale Foods sold the standard dairy items, butter, milk, ice cream.
    0:11:25 In the 1960s, they got into pudding and cheese sauces.
    0:11:31 And more recently, Gale Foods kept keeping up with the times, high-tech food manufacturing,
    0:11:37 meaning low-acid, aseptic processing and packaging using robots, which creates shelf-stable foods
    0:11:40 without the use of preservatives.
    0:11:45 The process is also useful for products like weight loss shakes and iced coffee drinks.
    0:11:50 After Katherine Gale, Gale Foods had more than 300 employees and was doing nearly $250 million
    0:11:55 a year in sales, but there were a lot of challenges.
    0:11:56 Why?
    0:12:00 Because the food industry is incredibly competitive.
    0:12:06 There are new competitors all the time, also new technologies, new consumer preferences.
    0:12:11 So to plot a path forward, Gale turned to one of the most acclaimed consultants in the
    0:12:12 world.
    0:12:13 I’m Michael Porter.
    0:12:18 I’m a professor at Harvard Business School, and I work most of the time on strategy and
    0:12:20 competitiveness.
    0:12:22 Porter is now in his late 70s.
    0:12:26 As an undergraduate, he studied aerospace and mechanical engineering.
    0:12:30 Then he got an MBA and a PhD in business economics.
    0:12:36 So he understands systems as well as how things are made within those systems.
    0:12:41 He’s written landmark books called Competitive Strategy and On Competition.
    0:12:45 He is cited more than any other scholar in the field.
    0:12:50 He’s best known for creating a popular framework for analyzing the competitiveness of different
    0:12:51 industries.
    0:12:55 The framework that I introduced many years ago says that there’s these five forces.
    0:12:59 These five forces help determine just how competitive a given industry is.
    0:13:07 The five forces are the threat of new entrants, the threat of substitute products or services,
    0:13:13 the bargaining power of suppliers, the bargaining power of buyers, and rivalry among existing
    0:13:15 competitors.
    0:13:20 We’re not there yet, but if you want to jump ahead and consider how these forces apply
    0:13:24 to our political system, I’m going to say them again, the threat of new entrants, the
    0:13:29 threat of substitute products or services, the bargaining power of suppliers, bargaining
    0:13:33 power of buyers, and rivalry among existing competitors.
    0:13:39 Anyway, you can see why someone like Catherine Gale, the CEO of a century old food company,
    0:13:44 might want to bring in someone like Michael Porter to figure out what to do next.
    0:13:47 It was a classic business strategy exercise.
    0:13:53 Now Gale, in addition to her family business, had another abiding interest, politics.
    0:14:00 Yes, I’ve certainly moved around in the partisan classification.
    0:14:03 During high school, she was a Republican.
    0:14:04 Over time, she drifted left.
    0:14:11 My daughter actually, when she was six, came to me and said, “Mommy, I think I’m a Republican
    0:14:16 or maybe a Remicrat, and I think that gives a good sense of where things are at in our
    0:14:17 household.”
    0:14:23 In 2007, Gale joined the National Finance Committee of Barack Obama’s presidential campaign.
    0:14:26 She became one of his top fundraisers.
    0:14:30 A couple of years after Obama was elected, Gale joined the board of a government organization
    0:14:37 called the Overseas Private Investment Corporation, which helps U.S. firms do business in emerging
    0:14:38 markets.
    0:14:43 I was paying a lot of attention to what was happening in Washington, D.C.
    0:14:48 Gale did not like what she saw in Washington, D.C. She didn’t like it one bit.
    0:14:55 It became really clear to me that this fight was not about solving problems for American
    0:14:56 people.
    0:15:00 This fight was about one party beating the other party and that the parties were more
    0:15:06 committed to that than to actually solving problems or creating opportunities.
    0:15:14 Eventually, I understood that it didn’t matter who we elected, it didn’t matter the quality
    0:15:16 of the candidates.
    0:15:22 Once it became clear to me that it was a systems problem, I switched from investing my time
    0:15:29 in searching for the next great candidate and turned an eye to the fundamental root-cause
    0:15:36 structures in the political system that pretty much guarantee that as voters, we are perpetually
    0:15:37 dissatisfied.
    0:15:42 So, she started raising money for nonpartisan organizations working toward political reform.
    0:15:49 And one of the things that became clear is that there was no thesis for investment in
    0:15:51 political reform and innovation.
    0:15:55 In other words, people didn’t want to give money to nonpartisan organizations working
    0:15:57 toward political reform.
    0:16:01 They only wanted to give money to political parties and their candidates.
    0:16:05 In fact, Catherine Gale found that potential donors had a hard time believing that such
    0:16:09 a thing as nonpartisan political reform even existed.
    0:16:14 That’s how conditioned they were to seeing the political system through a two-party lens.
    0:16:19 It was around this time that Catherine Gale began meeting with Michael Porter.
    0:16:23 She had brought him in to Gale Foods to help figure out the company’s strategy going forward,
    0:16:28 keeping in mind his five famous forces about industry competitiveness.
    0:16:34 New rivals, existing rivalries, substitute products, supplier power, and customer power.
    0:16:42 I would consistently make the case to Michael that, wow, how we’re analyzing this industry
    0:16:47 of low-acid aseptic food production, which is the business I was in, all of these tools
    0:16:51 are directly applicable to analyzing the business of politics.
    0:16:56 Frankly, I knew almost nothing about politics, but the more I heard and the more we talked,
    0:17:00 the more it became clear that we really needed to take a fresh look here.
    0:17:08 So it was out of that crucible of analyzing a traditional business strategy and at the
    0:17:13 same time devoting so much time to political reform and innovation that it became clear
    0:17:19 that politics was an industry, the industry was thriving, and that all of the tools of
    0:17:22 conventional business analysis were applicable here.
    0:17:28 And that’s where looking at this as an industry starts to provide some power.
    0:17:29 Okay.
    0:17:35 So you came to the conclusion that politics is an industry much like many of the other
    0:17:39 industries that you’ve been studying over your career.
    0:17:42 You never really thought of it in those terms before?
    0:17:44 Really never thought of it in those terms.
    0:17:50 We always thought of politics as a public institution, that the rules were somehow codified
    0:17:53 in the rule of law and in our constitution.
    0:17:59 But what we came to see is that politics is really about competition between largely
    0:18:02 private actors.
    0:18:05 And at the core of it is what we call the duopoly.
    0:18:08 The duopoly, Republicans and Democrats.
    0:18:18 And that competition has been structured around a set of practices and rules and in some cases
    0:18:25 policies that have been created over time, largely by the actors themselves.
    0:18:32 Actually the founders left a lot of room in terms of how the actual plumbing would work,
    0:18:40 but it was interesting multiple of our founders actually expressed a deep fear that parties
    0:18:41 would take over.
    0:18:46 John Adams said at one point, “There is nothing which I dread so much as a division of the
    0:18:49 Republic into two great parties.
    0:18:53 Each arranged under its leader in concerting measures in opposition to each other.”
    0:18:59 And if you take a look at Washington’s farewell address, which he wrote in 1796, he talks
    0:19:06 about dangers which could come in front of the Republic in the future and he specifically
    0:19:07 focuses on two.
    0:19:12 One is foreign influence and the other is partisanship.
    0:19:18 The other danger is the formation of strong parties.
    0:19:22 Having come to the conclusion that the political system operated more like a traditional industry
    0:19:28 than a public institution, Catherine Gale and Michael Porter set down their ideas in
    0:19:29 a Harvard Business School report.
    0:19:36 It’s called “Why Competition in the Politics Industry is Failing America.”
    0:19:41 When you read the paper, right there under key findings is this sentence in bright red
    0:19:42 print.
    0:19:46 “The political system isn’t broken, it’s doing what it is designed to do.”
    0:19:54 In other words, it was no coincidence that politics had become self-sustaining, self-dealing
    0:19:56 and self-centered.
    0:20:01 They were the blue team and the red team, kind of like Pepsi and Coke.
    0:20:06 Essentially, they divided up an entire industry into two sides.
    0:20:13 We ended up seeing that it wasn’t just the parties competing, it’s that they had created
    0:20:19 influence and in a sense captured the other actors in the industry.
    0:20:27 You have media and political consultants and lobbyists and candidates and policies all
    0:20:32 divided onto one of two sides.
    0:20:35 What you see is the system has been optimized over time.
    0:20:41 For the benefit of private, gain-seeking organizations are two political parties and
    0:20:46 they’re industry allies, what we together call the political industrial complex.
    0:20:52 This industry has made it very, very hard to play at all if you’re not playing their
    0:20:53 game.
    0:21:00 How does the political industry compare in size and scope, dollars, employees, direct
    0:21:06 and indirect, penetration and influence to other industries that you’ve studied, pharmaceutical
    0:21:08 industry, auto industry and so on?
    0:21:13 It’s a great question and we have done enormous amounts of work on it.
    0:21:19 It turns out to be very difficult to get what I would call a completely comprehensive answer.
    0:21:26 We estimate that in the most recent two-year election cycle, the industry’s total revenue
    0:21:29 was approximately $16 billion.
    0:21:37 This is not the biggest industry in the economy, but it’s substantial.
    0:21:42 It would be one thing if this large industry were delivering value to its customers who
    0:21:45 are supposed to be us, the citizenry.
    0:21:49 But Gail and Porter argue that the political industry is much better at generating revenue
    0:21:56 for itself and creating jobs for itself while treating its customers with something closer
    0:22:01 to disdain, think about cable TV on steroids.
    0:22:04 And the numbers back up their argument.
    0:22:10 Customer satisfaction with the political industry is at historic lows, just 16% of Americans
    0:22:14 currently say they trust the federal government.
    0:22:20 In terms of popularity, it ranks below every private industry that includes the healthcare
    0:22:25 and pharmaceutical industries, the airline industry and yes, cable TV.
    0:22:31 Generally, in industries where customers are not happy and yet the players in the industry
    0:22:34 are doing well, you’ll see a new entrant.
    0:22:40 You’ll see a new company come into business to serve those customers.
    0:22:47 A new company like Netflix or Hulu or Amazon Prime or Sling TV or, well, you get the point.
    0:22:53 So in today’s world, we have the majority of voters say in polls that they would rather
    0:22:55 have an independent.
    0:23:00 So in a normal industry, you’d have a whole new competitor coming up that was about independence
    0:23:02 to serve that unmet need.
    0:23:06 And yet in politics, we don’t see any new entrants.
    0:23:07 So why is that?
    0:23:14 Well, it turns out that our political parties work well together in one particular area.
    0:23:22 And that is actually colluding together over time behind the scenes to create rules and
    0:23:30 practices that essentially erect barriers to entry, ways to keep out new competition.
    0:23:37 In their report, Gail and Porter identify the five key inputs to modern political competition.
    0:23:44 Banks, campaign talent, voter data, idea suppliers and lobbyists.
    0:23:49 Here’s what they write, “Increasingly, most everything required to run a modern campaign
    0:23:55 and govern is tied to or heavily influenced by one party or the other, including think
    0:23:59 tanks, voter data, and talent.”
    0:24:06 What’s happened is the parties have now divided up the key inputs to political competition.
    0:24:12 And if you’re not a Republican or a Democrat, then you’re in trouble in even finding a campaign
    0:24:17 manager, much less getting the best up-to-date voter data and the best analytics and so forth.
    0:24:21 It’s not enough to monopolize the campaign machinery.
    0:24:25 Gail and Porter argue that the political industry has essentially co-opted the media, which
    0:24:29 spreads their messages for free.
    0:24:31 This helps Donald Trump tonight.
    0:24:38 This is a big, big beginning to the end of what has been a witch on.
    0:24:42 Trump Watch, now man in the White House is behaving now like a character on that old
    0:24:45 detective show, Colombo.
    0:24:51 Perhaps most important, the two parties rig the election system against would-be disruptors.
    0:24:58 The rules they set allow for partisan primaries, gerrymandered congressional districts, and
    0:25:00 winner-take-all elections.
    0:25:05 Each side of the duopoly, Republicans and Democrats and the players that are playing
    0:25:15 for those teams, have, over time, worked to improve their own side’s fortunes.
    0:25:24 But collectively, they also have come together to improve the ability of the industry as
    0:25:32 a whole to protect itself from new competition, from third parties that could threaten either
    0:25:35 of the two sides of the duopoly.
    0:25:38 What the parties have done is they’ve been very, very clever.
    0:25:43 They don’t compete head-to-head for the same voters.
    0:25:46 They’re not competing for the middle.
    0:25:56 It’s likely that we have a much more powerful center, a much more powerful group of moderates
    0:26:00 than our current duopoly demonstrates.
    0:26:06 What they’ve understood is competing for the middle is a sort of destructive competition.
    0:26:08 It’s kind of a zero-sum competition.
    0:26:14 So the parties have divided the voters and kind of sort of ignored the ones in the middle
    0:26:16 because they don’t have to worry about them.
    0:26:22 Because if the middle voter is unhappy, which most middle voters are today in America, what
    0:26:23 can they do?
    0:26:31 The only thing either party has to do to thrive, to win the next election, is to convince the
    0:26:39 public that they are just this much less hated than the one other choice that the voter has.
    0:26:45 That gives those two companies, the Democrats and the Republicans, the incentive to prioritize
    0:26:48 other customers.
    0:26:55 Their target customer on each side is the special interest and the partisans.
    0:27:00 They get a lot of resources and a lot of campaign contributions and massive amounts of lobbying
    0:27:07 money to try to get their support with whatever those partisan or special interest needs are.
    0:27:16 There is now an entire industry of politics that moves forward independent of whether
    0:27:20 that industry actually solves problems for the American people.
    0:27:25 What’s happened is that the barriers to getting into this industry and providing a different
    0:27:34 type of competition have been built to enormous heights, which has allowed the parties to
    0:27:41 structure the nature of the rivalry among themselves in a way that really maximizes
    0:27:50 their benefit to them as institutions, but doesn’t actually serve the public interest.
    0:27:54 Well, that’s depressing, isn’t it?
    0:27:58 Insightful, perhaps, but depressing nonetheless.
    0:28:02 So do Catherine Gale and Michael Porter have any bright ideas for tackling this problem?
    0:28:03 Yes.
    0:28:04 Yeah.
    0:28:05 Oh, yeah.
    0:28:06 Oh, my God.
    0:28:19 That’s coming up right after this.
    0:28:24 The business strategist Michael Porter and the CEO turned political reformist Catherine
    0:28:29 Gale argue in a Harvard Business School report that our political system has been turned
    0:28:32 into an industry with no real competition.
    0:28:39 The industry’s primary beneficiaries are itself and its many ancillary participants,
    0:28:43 including the media, but the vast majority of Americans who are somewhere in the middle
    0:28:45 are feeling very, very disaffected.
    0:28:50 The lack of vigorous competition, they argue, has allowed the Democrats and Republicans
    0:28:56 to carve out diametrically opposed political bases, fairly narrow and extremely partisan.
    0:29:03 Years ago, we created partisan primaries in order to take the selection of a candidate
    0:29:08 out of this quote-unquote smoke-filled back room and give the selection of the party candidate
    0:29:10 choice to citizens.
    0:29:13 So that was designed to give more control to citizens.
    0:29:19 It turns out it has had a very deleterious effect on competition and has increased the
    0:29:21 power of the parties.
    0:29:26 And the parties, Gale and Porter argue, use those partisan bases to support the desires
    0:29:32 of the political industry’s true customers and its wealthiest, special interests, industries
    0:29:38 like healthcare, real estate and financial services, also labor unions and lobbyists.
    0:29:45 In this duopolistic business model, polarization is a feature, not a bug.
    0:29:50 We have a chart in our report that just selects what we call landmark type legislation over
    0:29:53 the last 50, 60 years.
    0:29:59 And if you go back even 20 or 30 years ago, the landmark legislation was consensus.
    0:30:08 For instance, the Social Security Act of 1935 had 90% Democratic support and 75% Republican.
    0:30:16 The Civil Rights Act of 1964 had 60% Democratic support and, again, 75% Republican.
    0:30:21 Now for the last decade or two, that’s been the opposite pattern.
    0:30:26 The only way landmark legislation gets passed is one party has enough votes to pass that
    0:30:27 by itself.
    0:30:33 The Affordable Care Act, also known as Obamacare, was passed in 2010 with zero Republican votes
    0:30:35 in Congress.
    0:30:42 President Trump’s 2018 tax reform bill, zero Democratic votes.
    0:30:48 So your diagnosis suggests that this industry serves itself incredibly well.
    0:30:55 It suggests that it serves us, the citizenry, really poorly, and also suggests that more
    0:31:00 competition would improve the industry as it does in just about every industry.
    0:31:06 But just having more competition in parties doesn’t seem to be the answer alone.
    0:31:09 I mean, there are plenty of multi-party political systems around the world that have similar
    0:31:14 cases of dysfunction and corruption and cronyism like ours.
    0:31:20 So how direct a step or direct a prescription would that be?
    0:31:26 I think in our system in particular, where we have only two and they have been able to
    0:31:33 actually set up the rules of competition that reinforce their partisan competition, dividing
    0:31:39 voters and so forth, more competition I think would be incredibly valuable.
    0:31:41 But it has to be a different kind of competition.
    0:31:47 It can’t be just another party that’s going to split our electorate into three partisan
    0:31:48 groups.
    0:31:56 And so in our work, we focus on what would it take to make the competition less about
    0:32:02 dividing the voters and how could we make the competition more around building up more
    0:32:06 choices for voters that were more about solutions.
    0:32:10 By the way, let me be clear, we’re not against parties per se.
    0:32:18 What we are against is the nature of the competition that our existing dominant parties have created.
    0:32:23 When you suggest that these rules were carefully constructed, I guess if I were thinking about
    0:32:29 something other than politics, the first thought that would come to mind then is, well, collusion,
    0:32:30 right?
    0:32:36 If I can be one member of a duopoly, I actually hate my rival much less than I hate the idea
    0:32:41 of anybody else who would interrupt that rivalry because we’re splitting the spoils now.
    0:32:46 Do you have any evidence of collusion between the parties to create a system that essentially
    0:32:47 keeps the rest out?
    0:32:49 First of all, that is the right word.
    0:32:51 It is collusion.
    0:32:55 There’s probably a legal definition of collusion, which I don’t know, I’m not a lawyer, but
    0:32:57 the effect is exactly the same.
    0:33:05 The parties have agreed on a set of rules that benefit the duopoly and preserve this nature
    0:33:07 of competition.
    0:33:10 You can really put rules into a number of buckets.
    0:33:14 There’s legislative machinery, as we call it, which is how the Senate and the Congress
    0:33:20 are run, and then there’s the election rules having to do with what is the primary process
    0:33:26 like and what does it take to get on the ballot as an independent and the various campaign
    0:33:29 finance stuff that surrounds elections.
    0:33:35 Has anyone ever considered filing whether an earnest or not an antitrust suit against
    0:33:36 Republicans and Democrats?
    0:33:43 Stephen, that’s a great question.
    0:33:45 I have.
    0:33:52 We’ve actually had a significant effort to see if that’s feasible, what the law is, looking
    0:33:57 at the antitrust statutes, but this is absolutely what antitrust policy is all about.
    0:34:03 It’s creating open, effective competition that serves the customer and the public interest.
    0:34:06 This industry cries out for that.
    0:34:10 In the report, you discuss the many advantages the two parties have.
    0:34:15 I think we all recognize that there’s real power in size and there’s leverage, especially
    0:34:18 when you’re making your own rules for your own industry.
    0:34:23 You write that they use those advantages to retain control and to constrict competition,
    0:34:24 so on.
    0:34:31 That’s me, that Donald Trump really got around a lot of those advantages.
    0:34:36 You write that the parties, quote, control the inputs to modern campaigning governing,
    0:34:39 but he didn’t rely on that, really.
    0:34:44 You wrote that the parties co-opt channels for reaching voters, but he kind of co-opted
    0:34:49 or maybe took advantage of his own channels, including free media and his own social media
    0:34:50 accounts.
    0:34:55 You write that the parties, quote, erect high and rising barriers to new competition, but
    0:35:00 in the case of Trump, you know, his own party tried as hard as they could to erect the highest
    0:35:02 barrier and couldn’t keep them out.
    0:35:09 And so on those fronts, it would strike me that the parties failed, failed to constrict
    0:35:11 a certain competitor.
    0:35:17 So I don’t know how you personally feel about President Trump, but according to those advantages
    0:35:23 and his end run around them, it would sound as though he is at least one example of the
    0:35:25 solution to the problems that you’re describing.
    0:35:31 Well, yeah, I think that is definitely a good question, and we must take that on.
    0:35:34 I would say a couple of things.
    0:35:41 First of all, the best choice that President Trump made was to run in a party.
    0:35:46 He had to pick one side of the duopoly because he knew he couldn’t win as an independent.
    0:35:53 He had actually explored running as an independent in previous years, but that in the current
    0:35:57 system is not seen to be a winning strategy.
    0:36:02 The other thing I would say about him was that he had resources.
    0:36:08 In the end, he didn’t have to use that many of them, but he could almost have self-financed
    0:36:15 and he was appealing to a certain subset of the partisans, maybe a somewhat neglected
    0:36:18 subset of the people on the right.
    0:36:26 And he had a very strong existing brand identity, so he was able to get a lot of recognition
    0:36:30 and coverage without having to spend that much on advertising.
    0:36:38 He represents a personality-driven campaign within a party, but we don’t believe that
    0:36:45 he represents fundamentally transforming the structure of competition in the industry.
    0:36:51 So far, Trump is just the third in a row president that may have said that he was going to do
    0:36:55 things differently and cut across lines and all that kind of stuff.
    0:37:00 But frankly, he didn’t, Obama didn’t, and President Bush didn’t.
    0:37:05 Even though President Obama and President Bush campaigned on bipartisanship and bringing
    0:37:07 people together, they failed.
    0:37:11 So I think that those recent case studies are sobering.
    0:37:17 Okay, remember, this conversation was from 2018 just to put this in context.
    0:37:23 But back to the core issue, some political scientists argue that Gale and Porter’s analysis
    0:37:26 of party power has it backwards.
    0:37:30 These scholars say our political system is in bad shape because the parties have gotten
    0:37:32 weaker over time.
    0:37:37 They argue that stronger parties could help beat back special interests and produce more
    0:37:39 compromise and moderation.
    0:37:44 You want some interesting evidence for this party’s are weak argument?
    0:37:47 Think back to the 2016 presidential election.
    0:37:52 You had one national party, the Democrats, that tried as hard as it could, to the point
    0:37:59 of cheating, essentially, to pre-select its candidate, Hillary Clinton, who then lost.
    0:38:04 And you had the other national party, the Republicans, try as hard as it could to keep
    0:38:10 a certain candidate off the ballot, but they failed and he won.
    0:38:16 It’s true that the parties are not as strong as they were in the past.
    0:38:21 But both sides of the political industrial complex, Democrats and Republicans, are as
    0:38:22 strong as ever.
    0:38:26 It’s just that the power may not all reside within the party.
    0:38:30 If parties were stronger, that doesn’t mean they’d be moderating forces.
    0:38:31 That’s what some people say.
    0:38:33 I really don’t understand that argument.
    0:38:36 The stronger they are, the less moderating they’re going to be, given the nature of
    0:38:39 the competition that’s been created.
    0:38:45 I think we are really asking for too little when we say let’s tinker around the edges
    0:38:51 and get stronger parties so that we can have a little bit of a cleaner process.
    0:38:57 What we believe is we need to create structural reforms that would actually better align the
    0:39:05 election process and the legislative process with the needs of the average citizen.
    0:39:06 All right.
    0:39:11 So you’ve diagnosed the problem in a really interesting and profound way by overlaying
    0:39:17 a template that’s more commonly applied to firms to the political industry.
    0:39:20 And of course, it theoretically leads to a different set of solutions than we’ve typically
    0:39:21 been hearing.
    0:39:24 So then you discuss four major solutions.
    0:39:26 Let’s go through them point by point.
    0:39:30 Number one, you talk about restructuring the election process itself.
    0:39:34 Give me some really concrete examples of what that would look like.
    0:39:38 I’d also love to hear whether you do see some evidence of these examples happening because
    0:39:43 it does seem there has been some election reform in states and regions around the country.
    0:39:44 Yes.
    0:39:47 Well, when we think about reform, we have to think about really two questions.
    0:39:49 Number one, is a reform powerful?
    0:39:52 Will it actually change the competition?
    0:39:56 So a lot of what people are proposing now is actually not going to make much difference.
    0:39:59 So term limits are a great example.
    0:40:05 We aren’t fans of term limits because we think that without changing the root cause incentives,
    0:40:10 you’ll actually just have different faces playing the same game.
    0:40:15 So number one is we have to re-engineer the election processes, the election machinery.
    0:40:18 And there are three electoral reforms that are important.
    0:40:20 We call it the election trifecta.
    0:40:27 The first and probably the single most powerful is to move to nonpartisan single ballot primaries.
    0:40:31 Currently, if you’re going to vote in the primary, you show up and you get a Democratic
    0:40:37 ballot or a Republican ballot, and then you vote for who’s going to represent that party
    0:40:40 in the general election.
    0:40:43 And the one that’s on the farthest left or the one that’s on the farthest right has
    0:40:50 a tendency to win because the people that turn out for primaries are a relatively small
    0:40:53 fraction of even the party.
    0:40:58 And those are the people that show up because they’re really partisans and they really have
    0:41:02 special interests and they really, really care about getting somebody on the ballot
    0:41:04 that’s for them.
    0:41:11 In a single ballot, nonpartisan primary, all the candidates for any office, no matter
    0:41:15 what party they’re in, are on the same ballot.
    0:41:22 And we propose that the top four vote getters advance out of that primary to the general
    0:41:23 election.
    0:41:29 And the reason a single primary where everybody’s in it is so important is that if you want
    0:41:34 to win, you want to appeal to as many voters as you can.
    0:41:38 And therefore, you’re going to get people that are not just trying to appeal to their
    0:41:39 particular extreme.
    0:41:46 The second part of the Gale Porter election reform trifecta, ranked choice voting.
    0:41:47 Here’s how ranked choice voting works.
    0:41:52 You’ll now have four candidates that made it out of the top four primary.
    0:41:56 Those four candidates will all be listed on the general election ballot.
    0:42:02 And you come and vote for them in order of preference.
    0:42:03 So it’s easy.
    0:42:05 This is my first choice.
    0:42:06 This candidate’s my second choice.
    0:42:08 It’s my third choice.
    0:42:09 This is my fourth choice.
    0:42:17 When the votes are tabulated, if no candidate has received over 50 percent, then whoever
    0:42:23 came in last has dropped and votes for that candidate are then reallocated to those voters’
    0:42:33 second choice and the count is run again until one candidate reaches over 50 percent.
    0:42:40 What that does is it gives a candidate a need to appeal to a broader group of voters.
    0:42:46 And very importantly, it eliminates one of the hugest barriers to competition in the
    0:42:51 existing system, and that is the spoiler argument.
    0:42:59 So what happens currently is that if there’s, let’s say, an attractive third party candidate
    0:43:04 or an independent candidate, both Democrats and Republicans will make the argument that
    0:43:11 nobody should vote for them because they will simply draw votes away from a Democrat or
    0:43:18 draw votes away from a Republican and therefore spoil the election for one of the duopoly
    0:43:19 candidates.
    0:43:24 Once you have ranked choice voting, everybody can pick whoever they want as their first
    0:43:26 choice, second choice, third choice.
    0:43:34 No vote is wasted and no vote spoils the election for another candidate.
    0:43:38 And then the last part of the trifecta is nonpartisan redistricting.
    0:43:40 Gerrymandering has to go.
    0:43:45 When parties control drawing the districts, they can draw districts that will be more
    0:43:52 likely to tilt in favor of their party, and they can end up having a disproportionate
    0:44:00 number of “safe” Republican seats or “safe” Democratic seats by the way that they draw
    0:44:05 the districts, and we want to make that go away.
    0:44:10 In addition to election rule reforms, Porter and Gale would like to see changes to the
    0:44:12 rules around governing.
    0:44:19 Congress makes its own rules for how it functions, and over time, these rules, customs and practices
    0:44:28 have been set in place to give an enormous amount of power to the party that controls
    0:44:29 the chamber.
    0:44:33 And this is sort of collusion in a way, is when the other party takes over, they do it
    0:44:34 the same way.
    0:44:43 So we propose moving away from partisan control of the day-to-day legislating in Congress
    0:44:47 and also in state legislatures as well.
    0:44:52 The third leg of their reform agenda is about money in politics, but their analysis led
    0:44:56 them to a different conclusion than many reformers.
    0:45:04 Where we differ with so many people championing these reforms is that we don’t believe that
    0:45:07 money in politics is the core issue.
    0:45:13 The problem is really this nature of competition that leads to this partisanship, and that’s
    0:45:17 not a money issue per se, that’s a structural issue.
    0:45:22 If you take money out of politics without changing the rules of the game, you’ll simply
    0:45:27 make it cheaper for those using the existing system to get the self-interested results
    0:45:33 that they want without changing the incentives to actually deliver solutions for the American
    0:45:34 people.
    0:45:42 Having said that, we do believe that there are benefits to increasing the power of smaller
    0:45:50 donors, and so the reforms that we have suggested are primarily focused on increasing the power
    0:45:53 of smaller donors.
    0:45:58 For instance, having the government itself match donations from small donors.
    0:46:03 We should note that most of the ideas Gail and Porter are presenting here are not all
    0:46:07 that novel if you follow election reform even a little bit.
    0:46:14 Even we poked into a lot of them, an episode called “Ten Ideas to Make Politics Less Rotten.”
    0:46:20 I guess it’s one measure of how successful and dominant the political duopoly is that
    0:46:26 plenty of seemingly sensible people have plenty of seemingly sensible reform ideas that for
    0:46:28 the most part gain very little traction.
    0:46:31 It is definitely challenging.
    0:46:32 This is a ground game.
    0:46:37 We’re not going to be able to do this in a year or one election cycle because the resources
    0:46:43 that the current duopoly have to deploy to play their game are substantial.
    0:46:48 Despite the rather depressing or at least sobering picture that you paint of the political
    0:46:53 industry, throughout the report, you express quite a bit of optimism.
    0:47:02 I want to know why or how because I don’t see the avenue, I guess, for optimism.
    0:47:07 Well, I do think we have a basic optimism.
    0:47:14 We have no sense that it will be easy to change the rules of this game for a whole variety
    0:47:15 of reasons.
    0:47:18 But the good news is we’ve had some progress.
    0:47:21 We’ve got some nonpartisan primary states now, including California.
    0:47:23 We’ve got ranked choice voting in Maine.
    0:47:31 What seems to be building in America is a growing appetite and a growing recognition that this
    0:47:33 isn’t working for our country.
    0:47:40 I think the younger generation are particularly outraged and concerned and open to all kinds
    0:48:06 of new ideas, but I think it’s going to take time.
    0:48:15 Coming up after the break, Andrew Yang’s 2024 take on the duopoly and some signs of change.
    0:48:16 I’m Stephen Dubner.
    0:48:17 This is Freakonomics Radio.
    0:48:32 We’ll be right back.
    0:48:36 Since we published the original episode you just heard, America’s Hidden Duopoly, one
    0:48:41 of the prominent reforms embraced by Michael Porter and Catherine Gale has been spreading
    0:48:42 at least a bit.
    0:48:47 Alaska and Maine have used ranked choice voting in statewide elections.
    0:48:52 It has also been introduced in local elections, including the 2021 race in New York City to
    0:48:54 pick a new mayor.
    0:48:59 One of the candidates, Andrew Yang, was one of the most enthusiastic supporters of ranked
    0:49:02 choice voting, but it didn’t seem to help him.
    0:49:06 In a competitive Democratic primary, he came in fourth.
    0:49:10 That was despite big name recognition from his presidential run.
    0:49:16 So there would seem to be something about Andrew Yang, the candidate that voters don’t
    0:49:17 love.
    0:49:23 But that’s fair, because there’s a lot about the voting system that Andrew Yang doesn’t
    0:49:24 love.
    0:49:27 So, what’s he been up to lately?
    0:49:32 I’m co-chair of the Forward Party, the third biggest political party in the country by resources,
    0:49:35 though there’s a very steep drop off between number two and number three.
    0:49:39 What is the drop off between number two and number three in whatever metric you’d like
    0:49:41 to measure, whether it’s people, dollars, et cetera?
    0:49:48 Using dollars, I’d say there’s probably something like a 98.5% drop off.
    0:49:50 So what is the Forward Party?
    0:49:55 What are you trying to accomplish, especially in this current election cycle?
    0:50:01 The Forward Party is a movement of independent-minded Americans who are trying to reform our political
    0:50:06 system, so it actually responds to us and the challenges of this era.
    0:50:12 And we do that by pushing ballot reforms and backing positive candidates with any letter
    0:50:13 next to their name.
    0:50:17 So it could be a Democrat, it could be an independent, it could be a Republican.
    0:50:20 Is the Forward Party endorsing or backing any Republicans yet?
    0:50:25 We just recently announced the endorsement of a guy named John Curtis, who is running
    0:50:29 for Mitt Romney’s old Senate seat, or soon to be old Senate seat.
    0:50:33 There are 11 candidates in that race, eight of them have endorsed Donald Trump.
    0:50:37 John Curtis has not endorsed Donald Trump and actually started something called the
    0:50:40 Conservative Climate Caucus in Congress.
    0:50:43 So he believes in climate change, shocker.
    0:50:46 But a lot of Democrats would look up and say, “Oh, he’s gone our next to his name,
    0:50:50 so, you know, can’t get behind him,” but we think that’s short-sighted.
    0:50:55 So you’re not just a political person, but you’re an actual business person and you
    0:50:59 understand the way the economy works, I would argue pretty well.
    0:51:05 What are the downsides of duopoly writ large, whether it’s in an economic system or a political
    0:51:06 system?
    0:51:10 Because one might say, “Well, maybe it makes sense, because if there’s too much choice,
    0:51:11 it gets baffling.”
    0:51:15 And also, the bigger and more powerful you get, the more resources you have, the more
    0:51:16 you know what you’re doing.
    0:51:19 So maybe we should be in favor of duopoly.
    0:51:23 Well, in the political sphere, what’s interesting, Stephen, is the vast majority of us, about
    0:51:28 70% of Americans, live not under two-party rule, but one-party rule.
    0:51:33 It’s not like Democrats are really trying to run and win in rural Missouri.
    0:51:37 It’s not like Republicans are really trying to run and win in San Francisco.
    0:51:44 You have these only 5% to 10% genuine swing districts, and then the major exception to
    0:51:47 this is in the presidential.
    0:51:50 Even in the presidential, your vote won’t matter, my vote won’t matter.
    0:51:55 The only votes that are going to matter are based in Michigan, Pennsylvania, Wisconsin,
    0:51:57 Arizona, Nevada, Georgia.
    0:52:01 And that’s something that most Americans also just sort of shrugged and said, “I guess
    0:52:08 that’s the way we do things,” but the duopoly is effectively one-party rule for about two-thirds
    0:52:09 of the country.
    0:52:15 So if, as you’re saying, making most districts basically one-party district is the root cause
    0:52:19 of so much of this, what good would a third or fourth or fifth party do?
    0:52:25 Well, the goal of any independent party, if they’re smart, is to try and reform the voting
    0:52:30 system so you have more true accountability and a feedback loop between people and our
    0:52:31 leaders.
    0:52:37 In Alaska, they shifted to an all-party primary where voters can vote for a candidate of any
    0:52:42 party with a top four getting through to the general and chosen via ranked-choice voting.
    0:52:48 So a little-known former vice presidential nominee named Sarah Palin was on the ballot
    0:52:52 in ’22, and in a customary system, she wins the Republican primary and probably wins the
    0:52:55 general because it’s a red-leaning state.
    0:53:00 But in the new system, there was a general election with multiple candidates, including
    0:53:07 a fairly innocuous state legislator named Mary Paltola, who is very pleasant and congenial,
    0:53:13 and a critical number of Alaskan voters placed Mary Paltola as their second choice, thus edging
    0:53:16 out Sarah Palin.
    0:53:21 And if Sarah Palin was back in D.C., we’d all be subject to clips of her saying something
    0:53:26 crazy every week because there’d be a TV camera in her face every week.
    0:53:31 And we were spared that because they changed the voting system in Alaska.
    0:53:36 In the Senate race, in that same cycle in ’22, Lisa Murkowski was up for reelection.
    0:53:39 She voted to impeach Donald Trump, which is a no-no.
    0:53:43 It makes you run afoul of the base, eight out of 10 of the Republican House members
    0:53:47 who made the same choice did not make it back to the primaries.
    0:53:52 But Lisa Murkowski made it back because, again, Alaska essentially replaced their Republican
    0:53:54 primary with an all-party primary.
    0:53:59 And so Lisa Murkowski was able to get through in the general election because a critical
    0:54:01 number of Alaskan voters ranked her second.
    0:54:03 So a couple of things here.
    0:54:06 Is an all-party primary the same as an open primary?
    0:54:07 An open primary is different.
    0:54:12 An open primary is something where, hey, you’re an unregistered voter.
    0:54:17 You can show up and vote in our primary this once, and in some case, you have to register
    0:54:21 as that party for the purposes of that vote, and then you can unregister.
    0:54:26 A closed primary is you have to be registered four months in advance or something like that.
    0:54:31 Nonpartisan primary, what they did in Alaska is the most dramatic, which is, hey, everyone
    0:54:34 show up in the same primary.
    0:54:35 You vote for your candidate.
    0:54:36 I vote for my candidate.
    0:54:38 We can all vote for whichever candidate we want.
    0:54:42 We can even have multiple candidates from the same party running.
    0:54:48 And then the true measure of popular will and representation will emerge as opposed to
    0:54:52 slicing us into one party or another.
    0:54:57 Were the Alaska outcomes more about the all-party primary or more about the ranked choice voting,
    0:55:01 or did they dovetail perfectly?
    0:55:05 You know, it’s an element where one plus one equals three, where nonpartisan primaries
    0:55:08 are dramatic improvement, ranked choice voting, general elections are dramatic improvement,
    0:55:13 but you put them together and you wind up with a candidate who genuinely has the backing
    0:55:18 of more than 50.1% of the people.
    0:55:19 So here’s the thing.
    0:55:20 I know you a little bit.
    0:55:21 We’ve spoken on this show a few times.
    0:55:27 We’ve spoken off the show a few times, and I know you to be sincere and intelligent and
    0:55:31 decent person who I think wants the best for a lot of people.
    0:55:37 You also sound a little bit bonkers to me right now because you are tilting at windmills
    0:55:39 that are gigantic.
    0:55:44 You speak with sincerity, and I believe you, but do you expect to have any real effect
    0:55:50 on the political system, whether in 2024 or in the next 10 years, with this forward party?
    0:55:51 Oh, yeah.
    0:55:56 We already have dozens of elected officials who are aligned with the forward party.
    0:56:03 Two state senators in Pennsylvania, Lisa Boscola and Anthony Williams, the mayor of Fort Collins,
    0:56:04 Colorado.
    0:56:07 I mean, these are electeds who stood up already and said, “You know what?
    0:56:12 I want to represent my constituents and I don’t want to be answerable to this mega party
    0:56:18 that may or may not actually align with what the folks I represent believe in and value.”
    0:56:24 And this is despite having a sliver of the resources of either the parties.
    0:56:31 So if you could be a czar of some kind, even though we’re not a country that embraces czars
    0:56:38 historically, and you had the ability to remake the political system, the electoral system,
    0:56:44 and you’re not trying to do it in a drastic draconian overnight way, let’s say you could
    0:56:51 build a 10-year plan, what would be the first three or five tenets of that 10-year plan?
    0:56:56 We need elections that actually make our representatives answerable to us.
    0:56:58 That’s the main thing.
    0:57:03 We’ve let a bunch of negative things build up and our leaders are unresponsive.
    0:57:07 If you had a genuine feedback loop, then all of a sudden our leaders would say, “Wait
    0:57:08 a minute, what?
    0:57:09 Like young people can’t afford a house?
    0:57:10 That’s a problem.
    0:57:16 What the cost of being a middle-class person with housing and transportation and education
    0:57:20 and health care is going up and up and you feel distraught about it?
    0:57:23 Let’s actually get to some of the root problems.”
    0:57:28 And the way to do that visibly in an era when it’s very difficult to imagine our elected
    0:57:33 leaders doing something against their self-interest is to go to states where they have the means
    0:57:38 to change the voting system and say, “Look, guys, let’s just make it so that anyone can
    0:57:45 vote for any candidate of any party, Allah, Alaska, Allah, we hope Nevada as of November,
    0:57:50 and just march through as many states as possible freeing our elected leaders from party primaries
    0:57:56 that right now keep them from making any meaningful progress on issues.
    0:57:58 Here’s the thing about Andrew Yang.
    0:58:04 He’s enthusiastic and he’s enthusiastic about ideas that I think are generally good ones.
    0:58:10 But is he too enthusiastic about the odds of successful reform?
    0:58:15 What do you make of his prediction that someone like him can push our political system in
    0:58:17 a strong, positive direction?
    0:58:25 No offense to Andrew Yang but his track record as a political forecaster is not so good.
    0:58:29 Last year, he told me that Dean Phillips, the Minnesota congressman who challenged Joe
    0:58:35 Biden in the Democratic presidential primaries, was going to perform very well in the early
    0:58:40 states, so well that he would shake up the entire 2024 election.
    0:58:45 But Phillips didn’t perform well and he ran back into the arms of his party and endorsed
    0:58:46 President Biden.
    0:58:50 You want to know why Phillips ran in the first place?
    0:58:57 He was worried that Joe Biden was simply too weak a candidate to win and that backing him
    0:59:03 would pave the way for a Trump victory, which Phillips being a Democrat did not want.
    0:59:09 So getting back to Andrew Yang’s prediction, he was wrong that Dean Phillips would get
    0:59:14 a lot of primary support by attacking Biden, but after Biden’s disastrous performance in
    0:59:19 that first debate, many Democrats and their supporters, including the New York Times editorial
    0:59:25 board, are calling for the president to be replaced on the Democratic ticket.
    0:59:30 So maybe Andrew Yang was on to something after all.
    0:59:31 That’s our show for today.
    0:59:33 Sorry about my sore throat.
    0:59:34 Thanks for listening.
    0:59:40 I’d love to hear any feedback you have about this episode or the political duopoly in general
    0:59:42 or anything else you want to say, really.
    0:59:46 Our email is radio@freakonomics.com.
    0:59:52 Coming up next time on the show, Daniel Kahneman is perhaps best known as the author of Thinking
    0:59:58 Fast and Slow, but he also helped revolutionize the fields of both psychology and economics,
    1:00:01 and his influence has been enormous.
    1:00:03 Kahneman recently died at age 90.
    1:00:09 A bunch of his peers, friends, and mentees recently got together to sort out just where
    1:00:15 that influence has landed, and we were there with microphones.
    1:00:19 He felt that this is the right way to do science.
    1:00:24 I mean, partly, Daniel’s to blame, although he didn’t learn that before he passed away.
    1:00:31 In adversarial collaborations, the arbiter is the research assistant, the tiebreaker,
    1:00:34 and occasionally the therapist.
    1:00:37 Did they pay you for that?
    1:00:40 I’m getting paid the same as you, Maya.
    1:00:42 That’s next time on the show.
    1:00:47 Until then, take care of yourself and, if you can, someone else too.
    1:00:49 Freakonomics Radio is produced by Stitcher and Renbud Radio.
    1:00:55 You can find our entire archive on any podcast app, also at freakonomics.com, where we publish
    1:00:57 transcripts and show notes.
    1:01:01 This episode was produced by Greg Grzalski and Zak Lipinski.
    1:01:06 Our staff also includes Alina Kulman, Augusta Chapman, Dalvin Abouaji, Eleanor Osborne,
    1:01:12 Elsa Hernandez, Gabriel Roth, Greg Rippin, Jasmine Klinger, Jeremy Johnston, Julie Canfer,
    1:01:17 Lyric Bowditch, Morgan Levy, Neil Coruth, Rebecca Lee Douglas, Sara Lilly, and Theo Jacobs.
    1:01:20 Our theme song is Mr. Fortune by the Hitchhikers.
    1:01:23 Our composer is Luis Guerra.
    1:01:26 As always, thank you for listening.
    1:01:28 I can see myself, but is this audio only?
    1:01:29 It’s audio only.
    1:01:31 You can take off your pants if you want.
    1:01:32 Nice.
    1:01:45 The Freakonomics Radio Network – the hidden side of everything.
    1:01:46 Stitcher.
    1:01:48 (soft music)
    1:01:50 you

    American politics is trapped in a duopoly, with two all-powerful parties colluding to stifle competition. We revisit a 2018 episode to explain how the political industry works, and talk to a reformer (and former presidential candidate) who is pushing for change.

     

    • SOURCES:
      • Katherine Gehl, former president and C.E.O. of Gehl Foods.
      • Michael Porter, professor at Harvard Business School.
      • Andrew Yang, co-chair of the Forward Party and former U.S. presidential candidate.

     

     

  • 594. Your Brand’s Spokesperson Just Got Arrested — Now What?

    AI transcript
    0:00:02 (dramatic music)
    0:00:09 Imagine for a second that you work for a big consumer brand.
    0:00:13 Maybe it’s sneakers or fast food or high-end wrist watches.
    0:00:15 How do you persuade people that your product
    0:00:17 is the one worth buying?
    0:00:20 No matter how wonderful your sneakers or fast food
    0:00:24 or watches may be, they are also inanimate objects.
    0:00:26 They don’t have faces.
    0:00:28 A watch has a face, but come on, you know what I mean.
    0:00:31 So eventually, you may ask yourself,
    0:00:36 what if I hired a well-known actor or comedian or athlete
    0:00:40 to endorse my brand to put a face on it?
    0:00:43 And now potential customers who may not have noticed
    0:00:44 your brand are gonna be like,
    0:00:48 ooh, if they like it, maybe I will too.
    0:00:51 The practice of celebrity endorsement
    0:00:52 has been around for a long time.
    0:00:55 In the 1760s, the English pottery entrepreneur,
    0:00:59 Josiah Wedgwood, created one of the first luxury brands
    0:01:02 after receiving an endorsement from the Queen.
    0:01:06 In ancient Greece, some of civilization’s earliest coins
    0:01:10 had images of gods and goddesses, like Athena.
    0:01:13 Who better to endorse a new product like money,
    0:01:16 which you might otherwise be suspicious of?
    0:01:20 But what happens if you attach a celebrity to your product
    0:01:23 and that celebrity messes up?
    0:01:30 – Police believe that O.J. Simpson is in that car.
    0:01:32 We’ve received a report of a gun in the car.
    0:01:34 The vehicle is registered to Al Kaling,
    0:01:38 a former teammate, close friend of O.J. Simpson’s,
    0:01:42 who has been a fugitive from justice now almost 12 hours.
    0:01:46 – O.J. Simpson is just one example of many.
    0:01:48 Today, on Freakonomics Radio,
    0:01:51 a case study of another endorsement deal
    0:01:53 that went terribly wrong.
    0:01:54 – I mean, this is not just a mistake.
    0:01:57 This is a crime, and this is something horrible.
    0:01:59 – So what happens then?
    0:02:02 We will try to answer that question starting now.
    0:02:06 (upbeat music)
    0:02:15 – This is Freakonomics Radio,
    0:02:18 the podcast that explores the hidden side of everything
    0:02:21 with your host, Stephen Dubner.
    0:02:23 (upbeat music)
    0:02:33 – John Cawley is a professor at Cornell University.
    0:02:34 – So I’m a health economist,
    0:02:36 and I’m really interested in the economics
    0:02:37 of risky health behaviors,
    0:02:40 in particular diet, physical activity, and obesity.
    0:02:42 – Cawley is especially interested in how health behaviors
    0:02:45 can be affected by government policy
    0:02:48 and other top-down solutions.
    0:02:51 The short answer is not very much.
    0:02:54 In recent decades, we have heard a lot about nudges
    0:02:57 and tweaks and incentives that are designed
    0:03:01 to help people eat better, exercise more, et cetera,
    0:03:03 but most of the policies that John Cawley
    0:03:07 and his colleagues have analyzed just don’t move the needle.
    0:03:09 There was one mild exception.
    0:03:11 – One thing that we did find worked
    0:03:13 is we conducted an RCT randomized experiment
    0:03:17 of putting calorie labels on restaurant menus.
    0:03:21 The data here came from Starbucks and Dunkin Donuts.
    0:03:24 – And what we found is the getting the menu with the calories
    0:03:27 did lead people to ordering 3% fewer calories.
    0:03:28 So it’s not gigantic.
    0:03:30 It’s not single-handedly gonna reverse the obesity epidemic,
    0:03:33 but it’s a cheap policy that had a demonstrable result.
    0:03:36 – And this got Cawley to wondering what else he could learn
    0:03:39 by looking at data from restaurant chains.
    0:03:41 – And so starting from that and thinking about like,
    0:03:44 well, when would there be cases where people would be
    0:03:45 potentially attracted to or deterred
    0:03:48 from patronizing specific restaurant chains?
    0:03:50 The realization of, oh my gosh, that Jared Fogle scandal
    0:03:53 that occurred at Subway is definitely something to look at.
    0:03:57 – Do you remember where you were and/or what you felt
    0:04:01 when you first heard the news about the Jared Fogle scandal?
    0:04:02 – Definitely don’t remember where I was,
    0:04:06 but I mean, revulsion, definitely,
    0:04:10 and kind of horror that someone who’d been going to schools
    0:04:12 and holding up his big pair of pants,
    0:04:14 trying to be like a role model,
    0:04:18 would use his money and fame to do such horrible things.
    0:04:19 This jumped out immediately as something
    0:04:23 that had the potential to really move demand.
    0:04:26 – Okay, let’s back up and fill in some gaps
    0:04:28 in case you don’t remember or never even heard about
    0:04:31 the scandal with Jared Fogle and Subway.
    0:04:34 Let’s start with what is Subway?
    0:04:36 – So Subway’s a fast food chain, it makes sandwiches,
    0:04:38 they make it to order.
    0:04:42 – Subway started in 1965 as a single sandwich shop
    0:04:43 in Bridgeport, Connecticut.
    0:04:47 It was owned by two families, the DeLuca’s and the Bucks,
    0:04:50 under the same family ownership, Subway grew and grew
    0:04:55 and grew to more than 35,000 stores across 100 countries.
    0:04:59 In 2023, the original owners sold Subway
    0:05:02 to a private equity firm called Rourke Capital
    0:05:05 for about $9.6 billion.
    0:05:08 Rourke also owns chains like Duncan, Arby’s,
    0:05:10 Jimmy John’s and more.
    0:05:14 So that’s Subway and who is Jared Fogle?
    0:05:17 – The Jared Fogle story begins in the late 1990s
    0:05:19 when he’s an undergraduate in college.
    0:05:22 – This was at Indiana University in Bloomington.
    0:05:25 – He weighed 425 pounds early in his college career
    0:05:27 and wanted to make a big change.
    0:05:31 So he began eating at Subway twice a day.
    0:05:33 So what he said is I’ll have a six inch turkey sub
    0:05:36 for lunch and a foot long veggie sub for dinner.
    0:05:38 No condiments, no cheese on either one,
    0:05:42 baked chips and a diet soda with each.
    0:05:43 And I’m just gonna walk a lot.
    0:05:45 He lost 245 pounds.
    0:05:48 Someone who knew him as a freshman ran into him
    0:05:50 when he was an upperclassman and was just shocked
    0:05:52 and asked, “Well, how did this happen?”
    0:05:54 Jared told the story and the guy said,
    0:05:55 “I’m gonna tell somebody at the school newspaper.”
    0:05:58 So the school newspaper did a story on Jared Fogle.
    0:06:00 It then got picked up by Men’s Health Magazine
    0:06:02 for a special they were doing on stupid diets
    0:06:04 that actually work.
    0:06:07 And so both the school newspaper clipping
    0:06:10 and the Men’s Health article were seen by franchisees
    0:06:13 of Subway who clipped it and sent it to headquarters
    0:06:15 and said, “This seems like something we could use.”
    0:06:19 They reached out to Jared and on January 1st, 2000,
    0:06:21 they aired the first Jared Fogle commercial
    0:06:25 where he explained that Subway is the healthy fast food
    0:06:27 and that he lost 245 pounds
    0:06:29 by eating Subway twice a day and walking.
    0:06:30 (upbeat music)
    0:06:31 – Here is Jared Fogle.
    0:06:34 You may have seen him on the news or a talk show.
    0:06:38 He was inspired by Subway’s great tasting sandwiches.
    0:06:39 – Later commercials would often show him
    0:06:42 with his pair of pants from when he weighed his heaviest
    0:06:45 to illustrate the dramatic change in weight loss.
    0:06:47 – Remember Jared from Subway?
    0:06:49 He’s inspired a lot of people.
    0:06:54 ♪ He’s looking good to show you the way ♪
    0:07:00 ♪ His name is Jared and he’ll lead you to Subway ♪
    0:07:04 – They shot about 300 television spots with him
    0:07:07 and he also made a large number of personal appearances.
    0:07:09 (upbeat music)
    0:07:12 – And so it was that Jared Fogle over the course of a decade
    0:07:16 became one of the most prominent celebrity endorsers
    0:07:17 of his generation.
    0:07:19 Although his case was special,
    0:07:23 it was the endorsements that made him a celebrity.
    0:07:26 There was something radically appealing, even sweet
    0:07:29 about this combination of authenticity and fame.
    0:07:32 Jared seemed to unlock something wild
    0:07:35 in the culture of sandwich buying.
    0:07:37 Between 1998 and 2011,
    0:07:40 Subway went on a tremendous growth spurt.
    0:07:42 Its overall revenues tripled.
    0:07:46 Subway’s chief marketing officer, a man named Tony Pace,
    0:07:49 said that between 1/3 and 1/2 of Subway’s growth
    0:07:52 was due to the Jared Fogle campaign.
    0:07:57 Pace, who later died in a snowmobile accident,
    0:08:02 said that Jared Fogle was “woven into the fabric of the brand.”
    0:08:04 The influential trade publication
    0:08:07 Nations Restaurant News agreed.
    0:08:08 – They said the Jared campaign is one
    0:08:11 of the most successful restaurant campaigns ever.
    0:08:13 – Now, you told us his story,
    0:08:17 which was that he was eating a six inch sub for lunch every day,
    0:08:20 a foot long vegetable sub for dinner.
    0:08:22 You know a little bit about calories
    0:08:27 and about caloric intake versus exercise as well.
    0:08:30 When you heard that story for the first time,
    0:08:35 that he weighed 425 pounds and lost 245 in a year,
    0:08:39 primarily attributed to what he was eating,
    0:08:41 what was your first thought of that claim?
    0:08:43 – My first thought is he’s probably walking a lot,
    0:08:46 but the other assumption is probably previously
    0:08:48 he was consuming an awful lot of calories.
    0:08:51 Sticking to this menu very likely could represent
    0:08:53 a major reduction in calorie intake.
    0:08:54 – Do we know what he was eating
    0:08:57 and how much he was eating before the Subway diet?
    0:08:58 – I’ve never heard that.
    0:09:01 I mean, it could have been 18 cheeseburgers a day.
    0:09:01 – Yeah.
    0:09:04 – So Subway is booming.
    0:09:07 Subway believes and the restaurant industry believes
    0:09:10 that it’s booming in some substantial part
    0:09:12 because of this guy named Jared Fogel.
    0:09:14 And then what happens?
    0:09:16 – Yeah, so in July of 2015,
    0:09:19 the FBI raided Jared Fogel’s house.
    0:09:22 – Investigators descend before Don
    0:09:25 on the Indiana home of longtime subway spokesman,
    0:09:27 Jared Fogel.
    0:09:30 What makes the raid on Jared’s home particularly disturbing
    0:09:32 is that it comes nearly two months
    0:09:34 after the former executive director
    0:09:36 of his nonprofit foundation was arrested
    0:09:40 on federal child pornography charges.
    0:09:42 – Jared, when he became relatively wealthy
    0:09:45 from his income from Subway,
    0:09:46 he set up a charitable foundation
    0:09:49 and he hired someone to run it.
    0:09:51 The charitable foundation wasn’t really doing anything.
    0:09:53 It was a way to pay the guy who was heading it up
    0:09:55 and what the guy was doing in exchange for the money was,
    0:09:57 and I apologize, this is gruesome,
    0:10:00 he was installing hidden cameras in his own house
    0:10:02 and filming his own children naked.
    0:10:04 And then also like children of his relatives,
    0:10:06 children of his friends who were over,
    0:10:08 and then he was sending them to Jared.
    0:10:10 And Jared would be emailing back and commenting
    0:10:14 and asking for more and sharing what he’d like to do.
    0:10:18 So the FBI got wise to the foundation head,
    0:10:20 raided his house, seized his hard drive,
    0:10:22 found the images and found the communications with Jared
    0:10:24 and they raided Jared’s house.
    0:10:27 And that was when it just was all over the headlines
    0:10:30 that Jared Fogle had been arrested for child porn.
    0:10:32 It came out too that he had crossed state lines
    0:10:33 to have sex with underage girls.
    0:10:36 He had actually solicited prostitutes saying,
    0:10:39 “I want you to get me a young girl, the younger the better.”
    0:10:41 And so it was really reprehensible stuff.
    0:10:43 The sentencing judge said that it was extreme
    0:10:45 and it’s perversion.
    0:10:47 So it was just really, really horrible events.
    0:10:52 And industry observers said this is really bad news
    0:10:54 for Subway because they said things like,
    0:10:57 “From now on, when you see a Subway ad,
    0:10:58 you’re going to be thinking of Jared
    0:10:59 and what he did to those girls.”
    0:11:02 (upbeat music)
    0:11:05 – So how did Subway respond to the scandal?
    0:11:07 Think about how you might respond
    0:11:10 if your company’s superstar spokesperson
    0:11:13 was found to have used the money you paid him
    0:11:17 to set up a fake foundation that fed him child pornography.
    0:11:21 Subway had long been famous for being publicity shy.
    0:11:23 Their top executives rarely gave interviews
    0:11:25 or even appeared in public.
    0:11:28 And the response to this scandal was predictably muted.
    0:11:30 On the day that Fogel was arrested,
    0:11:33 they published a post that said Subway and Jared Fogel
    0:11:36 have mutually agreed to suspend their relationship
    0:11:38 due to the current investigation.
    0:11:40 They also scrubbed all mention of Fogel
    0:11:42 from their social media accounts.
    0:11:45 In August, 2015, Fogel pleaded guilty
    0:11:47 to child pornography trafficking
    0:11:49 and sexual conduct with minors.
    0:11:52 He is now serving a 15 year sentence.
    0:11:53 The scandal happened
    0:11:56 under the old family ownership of Subway.
    0:11:59 We reached out to the current owners, Rourke Capital.
    0:12:00 They sent a statement that reads,
    0:12:02 our thoughts continue to go out
    0:12:05 to all of those who were victimized by Mr. Fogel.
    0:12:07 When we learned of Mr. Fogel’s behavior,
    0:12:08 we took immediate action
    0:12:10 and he has not been associated with the company
    0:12:13 in any way since his arrest.
    0:12:15 But can a company just say,
    0:12:18 hey, stop paying attention to this person
    0:12:20 that we’ve been begging you to pay attention to?
    0:12:24 That’s what John Coley wanted to know.
    0:12:26 As he considered how to answer this question,
    0:12:29 he turned to some influential economic research
    0:12:32 on the notion of repugnance.
    0:12:34 – So Al Roth, who’s a Nobel Prize winning economist,
    0:12:38 wrote an article about how repugnance or visceral disgust
    0:12:40 can be something that affects market transactions
    0:12:42 just as much as prices.
    0:12:45 He gives examples of how things are outlawed
    0:12:46 like the consumption of horse meat
    0:12:50 or selling a kidney or paid sex work.
    0:12:52 And people just find them offensive
    0:12:54 and want them to not happen.
    0:12:56 And so it really wouldn’t be surprising
    0:12:58 if people, when they see a subway,
    0:13:00 remember the headline they just saw,
    0:13:02 the CNN story they just saw
    0:13:04 about these reprehensible crimes.
    0:13:07 – When I think of repugnance,
    0:13:10 I think of transactions that some people want to engage in
    0:13:13 and other people don’t think they should be allowed to,
    0:13:15 normally for moral reasons.
    0:13:18 And that is Al Roth himself, he teaches at Stanford.
    0:13:22 He points out that repugnance doesn’t always affect markets
    0:13:23 the way you might think.
    0:13:25 – I find it very hard to predict.
    0:13:26 And one reason it’s hard to predict
    0:13:28 is it’s different in different places.
    0:13:30 Disgust is easy to predict.
    0:13:33 If someone spits into your coffee,
    0:13:34 you won’t finish your coffee,
    0:13:36 no matter where in the world you are.
    0:13:40 But kidney exchange, surrogacy, prostitution,
    0:13:42 those are things that are repugnant in some places
    0:13:43 and not in others.
    0:13:46 Horse meat, you can order it in some places
    0:13:47 and not in others.
    0:13:48 – It’s also worth pointing out
    0:13:51 that repugnance is a moving target.
    0:13:53 It shifts over time.
    0:13:55 Consider slaveholding.
    0:13:58 Today, that is repugnant in most places.
    0:14:01 In the past, it was the norm.
    0:14:03 Or here’s an example of things changing
    0:14:05 in the opposite direction, life insurance.
    0:14:08 Not so long ago, it was considered repugnant
    0:14:12 for someone to profit from the death of a loved one.
    0:14:14 Today, life insurance is seen as something
    0:14:16 you’d be foolish to do without.
    0:14:18 Or at least that’s the story we’ve been told
    0:14:20 by life insurance firms.
    0:14:23 So how did Al Roth think the public would react
    0:14:26 to the repugnant news about Jared Fogle?
    0:14:28 – It seems like a plausible hypothesis
    0:14:31 that if the spokesperson were really important
    0:14:34 and then he turns out to be a terrible guy,
    0:14:37 then you might change your mind in much the same way,
    0:14:39 but not with exactly the same consequences
    0:14:42 that you might associate your feelings
    0:14:43 about Elon Musk and Tesla
    0:14:46 and about Donald Trump and Trump hotels.
    0:14:48 If you don’t like Elon Musk,
    0:14:50 not buying a Tesla avoids giving him some of your money,
    0:14:52 but not buying a subway sandwich
    0:14:53 which you may have discovered you liked
    0:14:57 because of this criminal guy doesn’t harm him at all.
    0:15:00 It wasn’t that subway sandwiches approved
    0:15:01 of molesting children.
    0:15:04 They were as much a victim as the general public was.
    0:15:06 – And John Cawley again.
    0:15:08 – So this seemed to be a great opportunity to test for,
    0:15:11 to what extent do people, even though, you know,
    0:15:13 Jared had nothing to do with the quality of the food
    0:15:17 or the management, people might just see that subway sign
    0:15:19 and remember him and just turn away and go somewhere else.
    0:15:23 – So what did Cawley find?
    0:15:25 That’s coming up after the break.
    0:15:27 I’m Stephen Dubner and this is Freakonomics Radio.
    0:15:40 – The Cornell health economist, John Cawley,
    0:15:43 recently teamed up with five co-authors on a research paper.
    0:15:47 The co-authors are Julia Edel-Battel, Scott Cunningham,
    0:15:50 Matt Eisenberg, Alan Matthews and Rosemary Avery.
    0:15:54 The paper is called “The Role of Repugnance in Markets,”
    0:15:59 how the Jared Fogel scandal affected patronage of subway.
    0:16:01 And what did they wanna do with this paper?
    0:16:04 – What we wanna do is estimate what was the impact
    0:16:07 of the Jared Fogel scandal on patronage of subway.
    0:16:08 You can’t just go look at a stock price
    0:16:10 to see how investors responded
    0:16:11 because it’s a privately held company.
    0:16:13 There is no publicly traded stock.
    0:16:15 You can’t look at quarterly earnings reports
    0:16:16 because there aren’t any.
    0:16:18 And also you don’t wanna just rely
    0:16:20 on whatever executives of the company say
    0:16:22 because you can’t independently verify it.
    0:16:24 – So what did you do instead?
    0:16:26 – So what we did is we went to a dataset
    0:16:29 called the Simmons National Consumer Survey.
    0:16:32 They survey a large number of people nationwide
    0:16:34 and they ask them really detailed questions
    0:16:37 about the stores, the companies they patronize.
    0:16:39 And in particular, they ask about their patronage
    0:16:42 of 58 different restaurants in the past 30 days.
    0:16:44 They conduct it four times a year.
    0:16:46 So that allows us to look at changes
    0:16:48 in relatively short periods of time
    0:16:52 in the restaurants that people say they’re visiting.
    0:16:53 – And these data go back how far?
    0:16:57 – We’re looking at from January 1st, 2014
    0:16:59 until December 31st of 2016.
    0:17:01 So we’re looking over a three year period,
    0:17:03 the middle of which is the information shock.
    0:17:08 Information shock is economists speak for, in this case,
    0:17:11 the burst of news that accompanied the revelation
    0:17:14 of Jared Fogle’s child pornography crimes.
    0:17:17 – One thing that makes the event we’re studying
    0:17:21 suitable for study is that nobody knew
    0:17:22 the bad stuff about Jared.
    0:17:26 Nobody knew that until the FBI raided his house.
    0:17:27 And as soon as they raided his house,
    0:17:29 it was front page news all over America.
    0:17:31 And it was confirmed shortly thereafter
    0:17:32 through a guilty plea.
    0:17:34 Most of the time with an ad campaign,
    0:17:37 it’s hard to measure how much people have been exposed to.
    0:17:39 But this is a case where really nobody knew anything
    0:17:42 until one day like everybody knew everything.
    0:17:44 – John, I have a question that is personal,
    0:17:46 perhaps a bit intrusive.
    0:17:48 So feel free to take a pass if you’d prefer.
    0:17:50 But I once heard you give an interview,
    0:17:54 were you discussed a troubling incident in high school
    0:17:56 with your debate coach?
    0:17:59 And I was really taken with your response to it,
    0:18:04 which was to get through it, but then come back
    0:18:06 and to get justice not only at your own school,
    0:18:08 but then at the next school where the guy went to.
    0:18:12 And I was really curious if that experience
    0:18:14 at all informed the way that you approached
    0:18:17 this topic with Jared Fogle in Subway.
    0:18:20 – Yeah, so the background is I had a high school debate coach
    0:18:23 who molested me and he molested other people.
    0:18:26 It wasn’t really until college that I was reckoning with it.
    0:18:28 And then wrote a letter to the school principal
    0:18:29 and got him fired.
    0:18:31 He moved to another high school in town.
    0:18:33 I went to the people who knew the administration
    0:18:36 of that high school and got him fired from there.
    0:18:38 And I went to the police and explained what happened,
    0:18:40 but he never went to jail.
    0:18:43 It does make me think that we,
    0:18:46 it’s this kind of issue is worthy of study.
    0:18:49 And there’s lots of different ways you can contribute
    0:18:49 to that.
    0:18:51 And this is a small way that I’m contributing
    0:18:53 to better understand what people think
    0:18:56 and what they do when they learn information
    0:18:58 like what Jared Fogle did.
    0:19:00 – It did make me wonder if your personal experience
    0:19:03 contributed to your assessment of what you thought
    0:19:07 would happen with Subway after the Fogle scandal.
    0:19:10 – Another thing that you’re making me think about
    0:19:12 is the distinction between being an objective researcher
    0:19:14 and letting the data speak for themselves
    0:19:16 and fairly and honestly reporting what you find.
    0:19:18 The difference between that and the way you wish
    0:19:20 things worked in the world.
    0:19:21 I would hope.
    0:19:24 And I think there was like universal disgust and anger
    0:19:27 at this person who betrayed so many people’s trust.
    0:19:29 That doesn’t mean Subway has to experience lower sales
    0:19:30 because of it though.
    0:19:36 – So did Subway experience lower sales?
    0:19:38 Kauley and his colleagues did have data
    0:19:40 from the Simmons marketing survey.
    0:19:43 By the way, that’s the same data source that Kauley used
    0:19:45 on his study about posting calorie counts
    0:19:47 on a restaurant menu.
    0:19:49 To get at the Jared Fogle effect,
    0:19:51 Kauley would need to measure the Simmons data
    0:19:56 against a control variable, a different fast food restaurant.
    0:19:58 This required the use of what researchers
    0:20:00 call synthetic control.
    0:20:04 – Rather than us saying, well, here’s what we think
    0:20:07 is a good comparison or control firm for Subway
    0:20:11 and guessing like DeBella’s or Firehouse Subs
    0:20:13 because they’re sandwich companies.
    0:20:15 We can instead use the method of synthetic control
    0:20:18 and that will go and find the optimal firms
    0:20:22 that best resembles Subway prior to this shock.
    0:20:25 In this case, interestingly, it picked just three.
    0:20:28 It was McDonald’s, Whataburger and Jack in the Box.
    0:20:30 So all three coincidentally just turned out
    0:20:31 to be burger chains.
    0:20:33 It didn’t pick any sandwich chains.
    0:20:36 – I’m sorry, back up the control or the metrics
    0:20:39 on which they aligned with Subway were what though?
    0:20:40 – Great question.
    0:20:42 – Is it population metrics?
    0:20:44 – What we want is a synthetic, a fake Subway
    0:20:46 that’s as similar to Subway before the shock,
    0:20:48 but then the question is similar in terms of what?
    0:20:51 The standard answer is lagged values
    0:20:53 of the dependent variable or in our case, patronage.
    0:20:56 That it has similar trends in patronage prior to the shock,
    0:20:59 but we also matched it on demographics
    0:21:00 of people who patronize it.
    0:21:04 So the percent who are women, low income, low education.
    0:21:05 – So these are what you might call
    0:21:09 observationally equivalent customer populations, yes?
    0:21:11 – Yep, chains with similar demographics
    0:21:12 among their patrons and similar levels
    0:21:14 of trends in patronage.
    0:21:17 And the funny thing is like that’s the feature, not the bug.
    0:21:21 It doesn’t depend on us using deduction or logic
    0:21:22 to guess what’s the best control.
    0:21:25 It lets the data speak for itself.
    0:21:26 – Okay, so you start working with the data.
    0:21:28 Tell me what happens next.
    0:21:30 – Yep, we now have a synthetic Subway
    0:21:31 that we can compare to regular Subway.
    0:21:33 And what we look to see is,
    0:21:37 does the real Subway become significantly different
    0:21:40 from the synthetic Subway after the shock?
    0:21:42 – And what were you expecting, John?
    0:21:43 – I mean, I expected, yes,
    0:21:46 that people would not want to go to Subway as often
    0:21:48 or as much in the wake of this information.
    0:21:51 – And what magnitude of a drop were you thinking?
    0:21:54 – I wouldn’t have been surprised by 5% to 10% drop
    0:21:56 in patronage that eventually went away.
    0:21:58 Like maybe it goes away in six months.
    0:22:02 And we really find that patronage remained flat.
    0:22:05 There’s no significant change in patronage.
    0:22:07 – Can you just summarize this in lay terms?
    0:22:11 Like a sandwich chain has an everyday endorser
    0:22:14 who turns out to be very, very popular.
    0:22:17 He becomes almost the face of the franchise.
    0:22:20 He pleads guilty ultimately to sex crimes
    0:22:24 and child abuse, and nothing happens to the product.
    0:22:27 I mean, it just sounds, it sounds hard to believe.
    0:22:29 Did you have a hard time believing it?
    0:22:31 – Well, I mean, there are these two,
    0:22:32 like decision making systems.
    0:22:34 So there’s system one, which is fast and emotional
    0:22:35 and may involve repugnance.
    0:22:37 And then there’s system two, which is more rational
    0:22:39 and slower to react.
    0:22:42 I’m certain when people saw the news that they were revolted
    0:22:45 and they were disgusted and experienced repugnance.
    0:22:48 But when it came time to choose where to go to eat,
    0:22:51 they apparently used system two and thought like,
    0:22:52 well, it’s got nothing to do with the food.
    0:22:54 It’s got nothing to do with the company
    0:22:58 because we’re not finding any effect of this scandal
    0:22:59 on people’s probability of going.
    0:23:03 – Is it possible that this evidence just shows
    0:23:04 that our personal preferences,
    0:23:07 including like what I want to put it in my mouth today
    0:23:11 are just much stronger a driver than our sense of,
    0:23:13 I don’t want to say morality or guilt,
    0:23:17 but plainly a person who was affiliated with this brand
    0:23:18 and did something horrible.
    0:23:21 I would think that that would outweigh my decision
    0:23:24 about what I want to eat for lunch today, but it doesn’t.
    0:23:27 So what’s the takeaway in that regard for you?
    0:23:30 – So you’re right, like people’s habits around food are strong.
    0:23:32 It’s really hard to change people’s behavior.
    0:23:34 We know that from a lot of different studies,
    0:23:37 but there’s a lot of other research that does document
    0:23:40 that people do respond to negative information about firms
    0:23:42 when it’s relevant to the product.
    0:23:46 For example, when there was adulterated infant formula
    0:23:49 coming over from China that had killed several children
    0:23:51 and hospitalized many others,
    0:23:53 there was a significant decline in exports
    0:23:56 of all dairy products from China for quite a while.
    0:23:59 Or when British petroleum had the deep water horizon oil spill
    0:24:01 and it turned out that it was due
    0:24:04 to their lack of safety precautions in the US,
    0:24:07 people decreased their purchases of BP gasoline.
    0:24:10 – Another example you write about is sexual abuse
    0:24:11 in the Catholic church.
    0:24:13 And you write that it reduced membership
    0:24:16 at least in the measured area by 3%,
    0:24:18 which is a large number
    0:24:20 when you’re dealing with something as big as the Catholic church,
    0:24:23 but you were thinking that the Jared Fogel effect
    0:24:26 would be two or three times larger than that.
    0:24:28 Again, is this all because of the disconnect
    0:24:32 between who the person was and what the product was?
    0:24:35 – So this paper concerned the Boston Globe spotlight series
    0:24:38 that exposed not just sexual abuse by Catholic priests,
    0:24:42 but institutional protection of these priests
    0:24:44 where the church administration knew
    0:24:46 what these priests were doing and hid it
    0:24:49 and moved them around to help them evade accountability.
    0:24:54 And so it implicated not just numerous employees
    0:24:55 of the firm, you could say,
    0:24:57 but also the management in a very systematic way.
    0:24:59 And so that may explain why
    0:25:02 there was a much more dramatic reaction.
    0:25:04 – So in the paper, you write that the absence
    0:25:07 of a detectable impact of the Jared scandal
    0:25:10 on patronage of Subway raises the question
    0:25:12 of whether Subway may have been previously
    0:25:15 overestimating the extent to which Jared was responsible
    0:25:17 for their increased sales.
    0:25:18 Say a little bit more about this,
    0:25:20 and I’d love to hear you talk as much as you want
    0:25:23 about how firms will often tell a story
    0:25:27 that sounds believable, sounds appealing,
    0:25:30 but is kind of free of empiricism.
    0:25:33 – Yeah, so the fact that we can’t reject the null hypothesis
    0:25:36 that this had no impact, like there’s no detectable impact
    0:25:38 of this information on people’s purchases
    0:25:40 or patronage of Subway does make you question,
    0:25:42 well, wait a second, how could this be true
    0:25:46 when we were told all along by insiders to the company,
    0:25:48 by the restaurant industry,
    0:25:50 that this was one of the most successful ad campaigns ever,
    0:25:52 and he was the face of it.
    0:25:55 It is possible that maybe he was incredibly influential
    0:25:57 and these ads were really powerful
    0:26:00 and moved demand early in the ad campaign,
    0:26:03 but maybe by this point it had run its course.
    0:26:05 And even though Subway was continuing to pay him,
    0:26:07 it wasn’t really adding much.
    0:26:09 But another possibility is that all along
    0:26:12 the firm was overestimating
    0:26:14 how much the ad campaign was contributing
    0:26:15 to their bottom line.
    0:26:17 – Well, I think that’s right.
    0:26:20 I think that there’s an incentive for marketing directors
    0:26:22 to tell their companies that they,
    0:26:25 the marketing directors are having a great effect on sales.
    0:26:27 – That again is Al Roth.
    0:26:29 – And if what you’ve done is hired a spokesperson,
    0:26:32 then you say the spokesperson has had a great effect on sales.
    0:26:36 – We did a two-part series of Freakonomics Radio a while back
    0:26:39 called Does Advertising Actually Work?
    0:26:40 The short answer?
    0:26:43 Not nearly as much as advertising
    0:26:45 and marketing departments say.
    0:26:48 One paper we cited in those episodes
    0:26:50 is by the Berkeley economist Steve Tadellis
    0:26:52 and two co-authors.
    0:26:54 They used data from eBay.
    0:26:56 Here’s Al Roth again.
    0:26:59 – Apparently eBay used to buy ads on Google search
    0:27:00 on the name eBay.
    0:27:02 So if you searched for eBay,
    0:27:05 you saw not just eBay’s website,
    0:27:07 but you also saw an ad from eBay.
    0:27:10 And what the marketing department at eBay
    0:27:12 told the executive suite at eBay was,
    0:27:15 we’re really effective at driving sales
    0:27:18 because lots and lots of people who click on our ad
    0:27:20 proceed to buy something on eBay.
    0:27:23 And what Tadellis and his colleagues did as an experiment
    0:27:24 was they said, you know,
    0:27:26 a lot of people who click on the ad,
    0:27:27 they were searching for eBay.
    0:27:29 They were intending to buy something on eBay.
    0:27:31 They just wanted to find the web address
    0:27:32 so they could click on it.
    0:27:34 And if we don’t advertise,
    0:27:36 we’ll get just as much revenue
    0:27:38 because instead of clicking on the ad,
    0:27:39 they’ll click on the organic search result,
    0:27:41 which will come up first.
    0:27:43 So that was a case where there was a claim,
    0:27:46 but no evidence that the ads were leading to the purchases.
    0:27:49 And that could well be the case with the spokesperson.
    0:27:52 – It may be that academic researchers
    0:27:55 are suspicious of the power of advertising
    0:27:57 and of spokespeople,
    0:28:01 but most companies don’t seem to be suspicious at all.
    0:28:03 Take a look at advertising during the Super Bowl,
    0:28:07 which is easily the biggest annual TV event in the U.S.
    0:28:10 and therefore the biggest annual advertising event.
    0:28:11 Over the last four years,
    0:28:15 between 60 and 75% of Super Bowl ads
    0:28:17 featured at least one celebrity
    0:28:19 and usually more than one.
    0:28:23 So if you believe that celebrity endorsements do work,
    0:28:26 the question is why?
    0:28:31 After the break, it is time to cue your inner primate.
    0:28:35 We want the things that high status individuals have.
    0:28:36 – I’m Stephen Dubner.
    0:28:37 This is Freakonomics Radio.
    0:28:38 We’ll be right back.
    0:28:44 (upbeat music)
    0:28:48 Even though academic researchers are skeptical
    0:28:50 of the power of celebrity endorsement,
    0:28:52 the practice rolls on,
    0:28:55 despite the significant cost to the firms.
    0:28:58 LeBron James signed a lifetime deal with Nike
    0:29:02 that could pay out an estimated $1 billion.
    0:29:05 Taylor Swift has endorsed Diet Coke, Apple Music,
    0:29:07 Keds, AT&T, CoverGirl,
    0:29:09 and she reportedly almost reached an agreement
    0:29:12 to endorse the cryptocurrency exchange FTX
    0:29:15 for a reported $100 million.
    0:29:19 And for nearly 20 years, starting in 1975,
    0:29:21 Hertz Rental Cars ran what was considered
    0:29:24 an exceptionally successful marketing campaign
    0:29:27 featuring OJ Simpson dashing through airports
    0:29:29 and wowing the spectators.
    0:29:32 ♪ Go OJ, wow ♪
    0:29:37 ♪ Gave you in, gave you out with super speed ♪
    0:29:42 ♪ The superstar in Rental Cars ♪
    0:29:44 – Hertz took Simpson off the air
    0:29:46 once he was charged with murdering his ex-wife
    0:29:47 and her friend.
    0:29:49 At the time, he was being paid
    0:29:51 more than half a million dollars a year.
    0:29:54 – Celebrity endorsements are extremely expensive.
    0:29:55 – And that is…
    0:29:57 – Elizabeth Zab Johnson.
    0:30:00 – I am the executive director and senior fellow
    0:30:02 with the Wharton Neuroscience Initiative
    0:30:04 at the University of Pennsylvania.
    0:30:05 – Where does Zab come from?
    0:30:09 – The middle three letters of Elizabeth.
    0:30:11 There are many Elizabeth Johnson’s in the world,
    0:30:14 but there is only one Zab Johnson.
    0:30:16 – As far as you know.
    0:30:17 – As far as I know, actually,
    0:30:18 I know that there’s a second Zab Johnson
    0:30:21 and she’s a developmental psychologist.
    0:30:23 And I’m pretty sure she Googled her name
    0:30:25 and found my nickname and liked it.
    0:30:27 – Oh, no.
    0:30:29 – But I’ve never called her out on it.
    0:30:30 – You’re doing it right now.
    0:30:31 – I am.
    0:30:35 – Johnson teaches in the marketing department at Penn
    0:30:37 and she has studied celebrity endorsements.
    0:30:41 As she was saying, they are expensive.
    0:30:44 – And they are inherently risky
    0:30:48 because you’re associating your brand with a person
    0:30:52 that may have behaviors that don’t all match up
    0:30:56 with your values and your idea of what the brand represents.
    0:30:58 – So expensive and risky,
    0:31:01 those are two pretty strong negative words.
    0:31:04 And yet there is a multi-billion dollar industry
    0:31:06 in celebrity endorsement.
    0:31:10 So who is not buying what you are selling and why not?
    0:31:13 Why do so many people proceed with it despite those risks?
    0:31:17 – Social hierarchy and social status matter to us
    0:31:20 as humans and as primates.
    0:31:24 And so we want the things that high status individuals have
    0:31:29 we’re in a really fractured noisy advertising environment.
    0:31:33 So you wanna create memorable content.
    0:31:36 You wanna create things that people will go back to
    0:31:37 and view again and again.
    0:31:40 – But there are other ways to do all that without a celebrity.
    0:31:44 Why is the celebrity the first choice?
    0:31:47 – I think there’s some expectations around it.
    0:31:49 You know, you’re not just watching the game.
    0:31:50 You’re coming to watch the commercial.
    0:31:51 Why are you watching the commercials?
    0:31:53 ‘Cause you also wanna see the celebrities
    0:31:55 and see what, you know, again,
    0:31:58 that sort of driving that fundamental biological need
    0:31:59 that we have.
    0:32:00 – So I don’t know how closely, if at all,
    0:32:03 you followed the breakup of Kanye West and Adidas.
    0:32:06 They had this hugely successful partnership.
    0:32:08 His Yeezy sneakers brought in something like $2 billion a year
    0:32:11 roughly 10% of their revenue.
    0:32:14 But he had always been a complicated partner, let’s say,
    0:32:17 and his behavior got more erratic, more inappropriate,
    0:32:20 including some very public anti-Semitism.
    0:32:23 So Adidas finally broke things off with him,
    0:32:26 but they had, I guess, millions of pairs of sneakers
    0:32:28 already manufactured when they broke up.
    0:32:30 I guess they could have just burned them or something,
    0:32:33 but instead they decided to sell them
    0:32:34 and donate the proceeds to charities.
    0:32:37 What did you think of that solution?
    0:32:40 – Their decision to release and sell,
    0:32:44 but not make profits or be obligated to give Kanye
    0:32:48 any of the revenue is probably a positive one.
    0:32:52 Adidas realizes that right now consumers really need them
    0:32:55 to espouse social values that resonate
    0:33:00 with younger people and with the consumer at large.
    0:33:03 So I think the idea of burning shoes
    0:33:06 and creating environmental pollution
    0:33:09 from that process as well as waste,
    0:33:12 I think was probably too big of a burden for them.
    0:33:14 So this was the right solution.
    0:33:17 I think it’s a great solution, actually.
    0:33:19 – On the other hand, you’re wearing
    0:33:21 or at least owning the product of someone
    0:33:23 who’s been disgraced, at least in the eyes of many, right?
    0:33:27 – I mean, with every product that we consume,
    0:33:29 there are always those things at play.
    0:33:32 With shoewear in particular,
    0:33:36 we know that those are mostly being manufactured
    0:33:38 in environments that I don’t think we think
    0:33:41 are the right manufacturing environments
    0:33:42 for modern day consumers,
    0:33:43 but at the same time,
    0:33:47 we still will pay hundreds of dollars for them.
    0:33:50 – I don’t know if you’ve ever visited Auschwitz,
    0:33:54 but there are these collections of things
    0:33:57 that were taken from the people who were sent there
    0:33:59 and then usually killed there, most of them Jews,
    0:34:02 but not all these gigantic piles of eyeglasses,
    0:34:06 gigantic piles of suitcases and gigantic piles of shoes.
    0:34:07 I wonder, do you think there might have been something
    0:34:10 fruitful to do with those whatever million
    0:34:12 or however many Yeezys there were,
    0:34:14 some kind of public sculpture
    0:34:16 that might have been a better solution
    0:34:19 than going ahead and selling the thing
    0:34:20 that was made by the person
    0:34:23 that you are supposed to be distancing yourself from?
    0:34:25 – That’s an interesting idea.
    0:34:27 I mean, I think Adidas had to be really careful
    0:34:31 because the founder had been part of the Nazi party
    0:34:34 and it was a point of shame for the company.
    0:34:36 There could have been a huge backlash
    0:34:38 to something like that.
    0:34:39 – A little bit too on the nose.
    0:34:41 – Too on the nose, right?
    0:34:45 And not at all the same, right?
    0:34:46 – Not at all the same.
    0:34:49 – So I think that this is probably the better move.
    0:34:52 – I guess this is why I’m not in corporate marketing.
    0:34:56 – And maybe better than sending Yeezys
    0:35:00 to underprivileged children in developing nations
    0:35:03 that could also be seen as being bad.
    0:35:06 I think in a sense, maybe this was the right call.
    0:35:12 And yet despite the risk of celebrity endorsements
    0:35:16 and despite the expense, there are significant upsides.
    0:35:18 That is a conclusion that Zab Johnson
    0:35:20 and three co-authors reached.
    0:35:21 In a recent study, they called
    0:35:25 how celebrity status and gaze direction in ads
    0:35:28 drive visual attention to shape consumer decisions.
    0:35:32 – In this particular study, we used Snoop,
    0:35:37 Scarlett Johansson, Michael Jordan, David Beckham.
    0:35:39 They also used ads that didn’t have celebrities
    0:35:41 in order to track the difference.
    0:35:43 Some of the ads would show the celebrity
    0:35:46 looking toward a snack food that they were endorsing.
    0:35:51 – Cheezits, Nutrabars, Snickers Oreos.
    0:35:54 – By tracking eye movements, Johnson could tell
    0:35:58 whether research subjects followed the celebrity’s gaze
    0:36:00 and looked at the product
    0:36:03 or whether they were so fixated on the celebrity
    0:36:05 that they ignored the product.
    0:36:06 – In the psychology literature,
    0:36:08 that’s called the vampire effect,
    0:36:11 the celebrity overshadows the product.
    0:36:15 If that’s true, then it’s not going to work, right?
    0:36:17 That could be a really big disaster.
    0:36:19 – Okay, so what effect did you find
    0:36:21 when consumers look at a celebrity
    0:36:23 who is looking at a product?
    0:36:27 – So we found that even though people spend less time
    0:36:30 looking at the product, it builds confidence
    0:36:32 and surety around the product
    0:36:35 just by being paired with a celebrity.
    0:36:36 And that was enough to nudge people
    0:36:39 to make choices of snack foods
    0:36:41 that they had felt on the fence about
    0:36:44 towards the one that had been presented with a celebrity.
    0:36:48 – And could I take that finding and extrapolate from it
    0:36:52 the idea that celebrity endorsement, quote, works?
    0:36:54 – I mean, this was a single intervention.
    0:36:56 This was the single presentation
    0:36:58 of an advertisement for four seconds.
    0:37:01 So if you think about how many times
    0:37:03 we’re actually visually presented
    0:37:04 with this kind of information
    0:37:06 and that little bit of confidence,
    0:37:10 if you can think about that as an aggregation over time,
    0:37:13 it is probably going to be pretty successful.
    0:37:14 That’s my take.
    0:37:21 – Now, this was one small study by one neuroscientist.
    0:37:23 The economist John Colley walked us through
    0:37:26 some of the other literature on celebrity endorsements.
    0:37:29 – Craig Garthwy and Northwestern’s done a neat paper
    0:37:32 on the effect of an endorsement of your book
    0:37:36 by Oprah’s book club and found that it led to a jump in sales
    0:37:37 not just of the recommended book,
    0:37:40 but also of other books written by that same author.
    0:37:42 And interestingly, it didn’t increase book sales.
    0:37:44 People didn’t buy any more books,
    0:37:46 they just switched to buying the one Oprah recommended.
    0:37:48 And then I guess Craig really is a fan of Oprah.
    0:37:50 He wrote another paper about Oprah’s endorsement
    0:37:52 of Senator Obama for president
    0:37:55 and estimates the impact that that had on his votes
    0:37:57 and contributions and voter turnout.
    0:37:59 He estimates it got Senator Obama
    0:38:00 an additional million votes.
    0:38:02 – To be fair, Oprah is an outlier as well
    0:38:03 because she’s so huge.
    0:38:06 Additionally, with her book recommendations,
    0:38:08 there’d never been anything like that
    0:38:09 in the history of book recommendations,
    0:38:10 at least in modern history.
    0:38:12 And it wasn’t just an endorsement,
    0:38:15 it was a call to action to everybody go buy this book.
    0:38:19 What do we know about the more general state of endorsement?
    0:38:22 Let’s say the Bron James is endorsing Nike.
    0:38:26 What do we know about the power of that type of endorsement
    0:38:27 where there’s some affiliation,
    0:38:30 but not necessarily a call to action?
    0:38:31 – It’s a great question.
    0:38:33 I don’t have a good answer for you.
    0:38:35 The discussion that you had in your earlier episodes
    0:38:37 about does advertising really work?
    0:38:40 The work of Anna Tuckman finds very little increase
    0:38:43 in sales of e-cigarettes due to TV advertising.
    0:38:46 The work of Steve Tadellis finds a negligible return
    0:38:48 to paid search ads for eBay.
    0:38:52 Brett Gordon has found that firms rule of thumb
    0:38:55 for guesstimating the payoff to ads
    0:38:58 often vastly overstates what the true payoff actually is.
    0:39:01 There were explanations in that series
    0:39:02 that we did one of which came from Steve Levitt,
    0:39:04 which is the people responsible
    0:39:07 for soliciting the budget for marketing and advertising
    0:39:09 are the same people responsible for measuring
    0:39:11 and making claims about the efficacy.
    0:39:13 Is that the best explanation
    0:39:15 for why there can be a gap between the two?
    0:39:17 – I think it’s one possible explanation.
    0:39:19 I also think of public health.
    0:39:21 So a lot of the work I do is in health economics
    0:39:24 and very often people in public health
    0:39:25 will be very well-intentioned
    0:39:28 and will propose some intervention
    0:39:30 and they claim we’re seeing amazing results
    0:39:31 in pilot studies.
    0:39:34 There’s a sense of like, aren’t good intentions enough?
    0:39:36 And I could imagine something being similar
    0:39:38 with marketing of like, how couldn’t this work?
    0:39:41 This is what generations of ad people have done.
    0:39:43 But again, this is how science progresses.
    0:39:45 This is how we make sure we’re not wasting resources
    0:39:48 is we need to rigorously evaluate everything we’re doing.
    0:39:54 – So is Jared Fogle a good story or example
    0:39:59 about why it makes sense for firms like Geico
    0:40:02 to use an animatronic or whatever clay gecko
    0:40:03 for spokesperson?
    0:40:06 I mean, anybody you hire potentially is risky.
    0:40:07 – That’s a really good point.
    0:40:09 I mean, another example is like universities
    0:40:11 have gotten very careful
    0:40:13 about naming any building after a living person.
    0:40:14 So once someone is deceased
    0:40:17 and you know everything that they’ve done pretty much,
    0:40:18 then you can make that decision.
    0:40:20 But you don’t wanna be on the hook if, you know,
    0:40:24 there’s a lot of sackler wings of museums out there
    0:40:26 that since the Oxycontin opioid scandal
    0:40:28 that are probably causing a lot of regret.
    0:40:29 – I’m curious when you look back,
    0:40:34 were there other firms in the wake of the Jared Fogle scandal
    0:40:37 who cut loose endorsers
    0:40:41 that perhaps they may have been quietly worried about?
    0:40:44 – Oh wow, that’s a good question.
    0:40:49 I don’t know of any because of Jared specifically,
    0:40:50 but like Kanye West,
    0:40:52 when he was making really hateful comments,
    0:40:54 he lost a lot of sponsors.
    0:40:56 I mean, Tiger Woods is another example
    0:40:58 of when he crashed his car under the influence.
    0:40:59 – What about Lance Armstrong?
    0:41:01 How quickly was he cut loose?
    0:41:02 – Oh, that’s a great example.
    0:41:04 – Michael Vick, Oscar Pistorius.
    0:41:05 I mean, it’s a pretty long list really
    0:41:07 of celebrities who do terrible things.
    0:41:11 Have you looked at other endorsers gone bad?
    0:41:14 – No, I think if we can find another example
    0:41:18 of where a person had such an incredible turnabout
    0:41:22 in reputation and is so closely identified
    0:41:26 with one single brand in the public mind,
    0:41:27 then we’ll jump on it.
    0:41:28 But a lot of these cases,
    0:41:29 there’s just celebrities famous for something else
    0:41:31 who’ve endorsed a hundred different things.
    0:41:35 – So what about you, John?
    0:41:38 If you had to be a brand spokesperson
    0:41:41 for any company, any product, what would it be?
    0:41:44 – Oh my God, well, you know,
    0:41:46 I’d be happy to be the face of the Freakonomics podcast
    0:41:48 from the Freakonomics Book Empire.
    0:41:50 So keep me on speed dial.
    0:41:56 – Huh, is that a risk I’m willing to take?
    0:41:58 I mean, John Colley seems like a good guy,
    0:42:01 but I don’t know, after what I learned today
    0:42:05 about the science of celebrity endorsement,
    0:42:06 I think it’s a pass.
    0:42:09 But I do appreciate the offer, John.
    0:42:10 I would also like to thank John
    0:42:12 for the good conversation we had today
    0:42:15 along with Zab Johnson and Al Roth.
    0:42:17 I am curious to hear your views
    0:42:18 about celebrity endorsement.
    0:42:19 Send us an email.
    0:42:22 We’re at radio@freakonomics.com.
    0:42:25 Coming up next time on the show,
    0:42:26 have you found yourself wondering
    0:42:29 why these are the only two people
    0:42:32 with a chance to become president of the United States?
    0:42:33 – The question is– – The question is,
    0:42:37 radical left– – Who is on your list, Joe?
    0:42:41 – The true story of America’s political duopoly.
    0:42:43 That’s next time on the show.
    0:42:45 Until then, take care of yourself
    0:42:47 and, if you can, someone else too.
    0:42:51 Freakonomics Radio is produced by Stitcher and Renbud Radio.
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    0:43:02 This episode was produced by Zach Lipinski.
    0:43:05 Our staff also includes Alina Kullman, Augusta Chapman,
    0:43:07 Dalvin Aboulagi, Eleanor Osborne,
    0:43:09 Elsa Hernandez, Gabriel Roth,
    0:43:11 Greg Rippin, Jasmine Klinger, Jeremy Johnston,
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    0:43:44 you
    0:43:46 you

    It’s hard to know whether the benefits of hiring a celebrity are worth the risk. We dig into one gruesome story of an endorsement gone wrong, and find a surprising result.

     

    • SOURCES:
      • John Cawley, professor of economics at Cornell University.
      • Elizabeth (Zab) Johnson, executive director and senior fellow with the Wharton Neuroscience Initiative at the University of Pennsylvania.
      • Alvin Roth, professor of economics at Stanford University.