54. How Is a Bad Radio Station Like Our Public-School System? (Encore)

The thrill of customization, via Pandora and a radical new teaching method

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:01Stephen J. Dubner?

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• 0:46Stephen J. Dubner?

  to face the day. So, switch your home and auto to Progressive and see if you could save and keep sipping away. Get your quote today at progressive.com. Progressive Casualty Insurance Company, affiliates and other insurers. Not available in all states. Freakonomics Radio is sponsored by Mint Mobile. With Mint Mobile's summer sale, all of Mint's plans are $15 per month, even unlimited. Free yourself from big wireless and switch to Mint for high-speed data and coverage on the T-Mobile 5G network. To get your new wireless plan for just $15 a month, go to mintmobile.com/freak. That's mintmobile.com/freak.

• 1:28Stephen J. Dubner?

  Upfront payment, $45 for three months, $90 for six months, or $180 for 12 months. Plan required. $15 per month equivalent. Taxes and fees extra. Initial plan term only. Greater than 50GB may slow when network is busy. Includes up to 20GB hotspot. Capable device required. Availability, speed, and coverage varies. See mintmobile.com. Freakonomics Radio is sponsored by ChatGPT. ChatGPT Work is a new way to work in ChatGPT. ChatGPT Work can pull info from across your apps and connect to your tools to help you create finished work. You can even automate work in ChatGPT with the Scheduled Tasks feature, and the whole

• 2:13Stephen J. Dubner?

  time, you stay in control. Put ChatGPT to work on your most ambitious ideas and projects. Get started at chatgpt.com by selecting Work Mode. Available on Plus and Pro plans.

• 2:34Stephen J. Dubner?

  Hey, everybody. Happy Christmas, and thanks for downloading the Freakonomics Radio podcast. Our last episode was about weird recycling. That is, reusing stuff that most people didn't think was reusable. Well, today, we're taking our own advice. This episode is an encore of a show we did a while back, which we thought was worth updating. Hope you agree.

• 3:17Stephen J. Dubner?

  Anything but this song.

• 3:24Stephen J. Dubner?

  All right, here we go.

• 3:49Stephen J. Dubner?

  You've been there. It's impossible to find a decent song on the radio, and when you do, and it ends, the next song stinks. Wouldn't it be nice if the radio only played the songs you want to hear? I mean, the rest of the world has figured it out. Amazon does it. Netflix does it. Your airline does it. Even your credit card company. Just go buy some baby diapers and see how long it takes before someone mails you a prospectus for a college savings plan. If your personal data is like a fingerprint, then you have left big, greasy smudges all over the universe. The key is an algorithm, a formula, to harness that data and customize the world for you,

• 4:32Stephen J. Dubner?

  to give you the things you need to make you smarter, richer, happier, to give you only the songs you want to sing. Now, there's actually a solution to this radio problem. And it's so easy that even Steve Levitt can use it.

• 4:49Speaker 01

  About three years ago, on our blog, on the Freakonomics blog, I admitted to people that I'm a Luddite and that I don't know anything about technology. And I asked our blog readers, tell me what cutting-edge technologies I should adopt in my life. Okay, we got a lot of, I got a lot of suggestions. And I think the only one that stuck with me was Pandora.

• 5:13Stephen J. Dubner?

  Levitt's my co-author, an economist at the University of Chicago.

• 5:17Speaker 01

  And it was absolutely stunning to me that there was a technology where you could tell the music you liked, and then it would play other music you'd never heard of but would like, and it would do it all for free. And if you didn't like a song, you say, don't play that song ever again. And it would just go away. I mean, what an incredible invention that was.

• 5:34Stephen J. Dubner?

  Now, if you had never gotten on Pandora and you were just starting today, what's a song that you would say, God, this is the song I love, and I want 100 more like it, but I don't know where to find them? What's the song you'd put in today?

• 5:45Speaker 01

  So if I had to put in a song today, I would put in a very obscure song by a group called Igloo and Hartley called "In This City."

• 5:54Stephen J. Dubner?

  Okay, so to start things off, we'll play a song that exemplifies the musical style of Igloo and Hartley, which features basic rock song structures, call-and-answer vocal harmony, also known as antiphony, major-key tonality, and a vocal-centric aesthetic and acoustic rhythm guitars. So that's what you like. So...

• 6:11Speaker 01

  I love, actually, I love all of those things.

• 6:14Stephen J. Dubner?

  So the next time someone asks you, Steve Levitt, what kind of music do you like?

• 6:19Speaker 01

  I'm gonna say, I like antiphony.

• 6:33Speaker 02

  From WNYC and APM, American Public Media, this is Freakonomics Radio. Today, the thrill of customization and a question. What does a bad radio station have in common with the public school system? Here's your host, Stephen Dubner.

• 6:50Stephen J. Dubner?

  Imagine you fell asleep 150 years ago and you woke up today. There aren't many things that you'd recognize, but one of them is a classroom. One teacher in a box with 25 students. Now, why hasn't that changed? A while back, I put that question to Joel Klein, who at the time was chancellor of the New York City Public School System.

• 7:20Speaker 03

  In a prior life, I used to represent the American Psychiatric Association. And it was during an era which there were a lot of lightbulb jokes. And mostly, you're people probably too young to remember this era. But my favorite lightbulb joke ever was, "How many psychiatrists does it take to change the lightbulb?" And the answer is only one, but the lightbulb really has to want to change. And the answer to your question is, the school system does not want to change. It wants more resources.

• 7:45Stephen J. Dubner?

  Grades are up. Graduation rates are up. But when you look across the board in New York City, when you look at the absolute numbers, not relative to where they were, but absolute, you can't be too happy yet. You're graduating about 59% of students now, so that's still about 10% below national average. I hope I'm right on that. So what's the problem? Are New York City kids dumb? Are the teachers who come here not good enough?

• 8:12Speaker 03

  There's a lot of questions here. So let me start with, for example, on the graduation rates. If you count August graduates, which I think we should count, we're at 63%. Still below where we need to be. But quite frankly, in the last four years alone, that's gone up about three points a year. And that's huge. No other city, I think, has seen that kind of gain. But in the end, two things that one has to be candid. Look at it in America generally. In America generally, as you said, about 70% graduate high school, so 30% don't graduate high school. Out of the 70% who graduate, probably 30, 35% of them are not prepared for college. So what's the point?

• 8:50Stephen J. Dubner?

  The problem isn't only New York City, of course. The national dropout rate has been declining, but still, nearly three out of 10 kids never finish high school. Test scores have essentially been flat for a couple of decades. Other countries are passing us by. I asked Arne Duncan, the U.S. Secretary of Education, how big a concern these numbers are.

• 9:11Speaker 04

  This is a huge deal, Steve. We're very concerned that if we're going to remain economically competitive as a country, if we're going to give our children a chance to compete in a global economy, we have to dramatically improve the quality of education. All of us, as students, want to be treated as individuals. And we've had this sort of factory model of education in which everyone was treated the same. And the teachers that you remember, the flip side of that, the best teachers are the ones that absolutely understand who you are, who find skills in you and abilities that you didn't even realize you had in yourself. And those teachers where it doesn't work, those teachers that are just relating to a mass of faces in front of them. They don't know you as an individual. You get the sense, accurate or not, that they don't really care about you, quite frankly.

• 9:57Stephen J. Dubner?

  So that's how a classroom is like the radio. It's a factory model, a big, fat effort to pitch right down the middle. Isn't it time to change the classroom model? I mean, people have been talking about education reform forever, and lately, things are changing. There's a proliferation of charter schools, some of them excellent, the Teach for America program, parenting workshops and preschool programs. And in New York City, a small band of reformers has been pushing a gutsy program with a catchy name. It's called School of One. They want to dump the factory model altogether. Secretary Duncan is wild about School of One, and Joel Klein is the man who gave it the go-ahead.

• 10:41Stephen J. Dubner?

  Here is the program's founder, Joel Rose.

• 10:44Speaker 05

  So in New York City, even before the recession, we had six applicants for every teacher that we hired. We have worked incredibly hard to ensure that our highest-performing teachers are rewarded for the work that they do. And we can tell you on a relative basis who our stronger teachers are and who our weaker teachers are. But one of the things that I was interested in is looking at that information on an objective basis. In other words, if we picked a particular standard, like what percent of eighth grade math teachers in New York City get 80% of their students to proficiency by the end of the year?

• 11:28Speaker 05

  That number came in at 13%.

• 11:30Stephen J. Dubner?

  13%?

• 11:31Speaker 05

  Right. And when we ask the question a little differently, what percent of eighth grade math teachers can get one year's worth of growth out of 80% of the students in the class? That came in at 12%.

• 11:44Stephen J. Dubner?

  Yikes. How about reading?

• 11:47Speaker 05

  In reading, the numbers are about half that.

• 11:49Stephen J. Dubner?

  Half that?

• 11:50Speaker 05

  Right. Now, we have some incredibly talented and hardworking teachers in New York City, and there are thousands of students who graduate college that would love to move to the city and work here. This is not an issue of recruitment or even of talent. It's an issue of design. I mean, if you think about any other industry, if we created an objective standard of success and only 13% of a particular classification of employee was successful, we would change the job. We have never had that conversation in education.

• 12:23Stephen J. Dubner?

  So you're saying that if plumbers, or if IT designers, or engineers, or writers, or presidents performed at the level, the objective level, that New York City teachers did, we'd either get rid of all of them or radically change the job?

• 12:43Speaker 05

  If we set the bar at how successful do we need plumbers to be? And that standard is a reasonable, objective standard, and only 13% of plumbers can actually hit that standard, then we have to think differently about how we're organizing the work of plumbing.

• 13:02Stephen J. Dubner?

  How should the work of teaching be organized? Rose started out as a classroom teacher, three years in a fifth grade in Houston through Teach for America. He went to law school, then got back into education with Edison Learning, the for-profit schools company, and eventually, he landed in New York City's Department of Education. That's when he had a revelation. Even the most talented teachers in New York were operating in the old 25-kids-in-a-box factory mode. How well can one person possibly teach math to 25 different brains at the same time?

• 13:38Speaker 05

  So I am originally from South Florida, and I was visiting my family in Miami. And I went to go see a friend who runs something called a New Horizons Learning Center. This is a franchise that provides technical training to people on a particular area of technology. So if you want to get certified in something from Microsoft, or Cisco, or something like that, you go to one of these centers, you take a class, you take a test, you get a certificate, and you can use that to get a job. And so I went to meet him for lunch, and I walk into the office, and there's a big sign right when you walk in, and it says, "Choose your modality."

• 14:21Stephen J. Dubner?

  Choose your modality.

• 14:23Speaker 05

  Choose your modality.

• 14:24Stephen J. Dubner?

  And what's that mean?

• 14:25Speaker 05

  That a student can choose to come and take live instruction from a teacher. They can choose to learn at their own pace at home, online, or they can do what New Horizons calls mentored learning, which is, a student can come in whenever they'd like, and there is a teaching assistant-type person that can help them as they work through the software.

• 14:47Stephen J. Dubner?

  So I can eat in, take out, or have delivery food?

• 14:51Speaker 05

  Exactly.

• 14:52Stephen J. Dubner?

  And did you-- did a gigantic light bulb flash off in your head?

• 14:55Speaker 05

  A gigantic light bulb flashed off in my head.

• 14:59Speaker 05

  What I immediately saw when I saw that sign was that is what we've been looking for in K-12 education, the introduction of other modalities, that live, teacher-led instruction, the kind of instruction we're all familiar with, that we all grew up with, is one way. It may be the best way, but it's not the only way the kids can learn.

• 15:29Stephen J. Dubner?

  Ah, don't touch that dial. Listen to- Coming up, one teacher in a box versus one algorithm for as many kids as you want.

• 15:39Speaker 06

  I can see how many lessons they've had on each skill. I can see how fast they're moving through those skills.

• 15:47Stephen J. Dubner?

  And we meet the man behind Pandora.

• 16:13Stephen J. Dubner?

  Freakonomics Radio is sponsored by Progressive. Whoever says saving money is hard doesn't know that new customers who bundle and save with Progressive save hundreds because switching your home and auto insurance is better than cutting down on the things you love, like those iced lattes that help you get ready to face the day. So, switch your home and auto to Progressive and see if you could save and keep sipping away. Get your quote today at progressive.com. Progressive Casualty Insurance Company affiliates and other insurers. Not available in all states.

• 16:46Stephen J. Dubner?

  Freakonomics Radio is sponsored by PNC Bank. Boring. Great word, bad rep. Yet, time and time again, here at Freakonomics, we find that when something culture-changing happens, boring things like calculations and careful planning are usually behind it. Which begs the question, why not apply it to other aspects of life, like banking, for example? Well, PNC Bank did, since it's in separate- Proving time and again that the best banking strategy isn't the exciting type, but the steady, reliable, definitely not YOLO type. PNC Bank, brilliantly boring since 1865. Brilliantly boring since 1865 is a registered mark of the PNC Financial Services Group, Inc.

• 17:26Stephen J. Dubner?

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• 18:05Speaker 02

  From WNYC and APM, American Public Media, this is Freakonomics Radio. Here's your host, Stephen Dubner.

• 18:16Stephen J. Dubner?

  So Joel Rose thought, what if, instead of all 25 kids in a classroom trying to learn math from one teacher in one modality at a time, what if you could take the classroom and divide it into smaller groups and have each kid get her own playlist of different modalities every day? Kind of like the playlists that Pandora makes for Steve Levitt. With Klein's blessing, School of One quickly moved into pilot phase. In early 2010, it began as an after-school program in three New York City schools, teaching 6th grade math to 270 students. I visited one of those schools, IS 339 in the Bronx, and I met Kirsten Shai from School of One.

• 18:57Speaker 07

  So what we see here on the screen, the first thing when a student walks in, they see their schedule for the day. So right now, it shows period one. Kids are divided up by their homeroom teams, and they can see which space, area of the room they're supposed to be in. So at this table, they're doing more virtual tutoring. At the far table over there, there's kids who are working on a variety of different online math programs.

• 19:21Speaker 07

  And at this closer table, there's kids who are working on independent practice is another modality that we have.

• 19:26Stephen J. Dubner?

  Can you quickly name all the modalities for me?

• 19:29Speaker 07

  Ooh, quiz me. Large live instruction, small live instruction, virtual live instruction, which we call virtual tutoring colloquially, independent practice, small group collaboration, and independent virtual instruction.

• 19:45Stephen J. Dubner?

  So these guys are getting, these guys are doing math homework with headphones at a computer and there's somebody on the other line. And who is that person and what are they teaching them?

• 19:55Speaker 07

  The other person online is a virtual tutor. Not sure exactly where they are presently in the United States right now. And they're working on the individual skills that they need to be working on. So it could be any number of fifth or sixth grade math skills that a kid needs at that time.

• 20:10Speaker 08

  I'm talking to the teacher and doing his work. He taught us to add any number with two in it.

• 20:16Speaker 09

  No, your question is add three to any number.

• 20:23Speaker 08

  Add three to any number? Three plus forty.

• 20:31Speaker 09

  I mean, suppose you wrote the any number as forty. I can write it as thirty-five.

• 20:39Stephen J. Dubner?

  Small group instruction, independent practice, a virtual tutor? It's not what these kids are used to. Here's Patrona Hudson, 12 years old.

• 20:48Speaker 10

  I was failing math because I didn't understand it. Nobody helped, like sat down with me and helped me like work. Like my teacher, she'll explain it like once and if you don't understand it, she'll quit. She'll be like, oh, I give up, like too bad.

• 21:06Speaker 11

  My name's Lionel and I'm 11.

• 21:10Stephen J. Dubner?

  Lionel, okay. And what are you doing here in the school of one?

• 21:14Speaker 11

  Math.

• 21:15Stephen J. Dubner?

  Now, what about the kids who are in your class in math who don't come to School of One? Do you feel like you're brushing past them?

• 21:23Speaker 11

  Yes, because I'm learning a lot more than what they're learning. They're probably home playing video games.

• 21:30Stephen J. Dubner?

  Lionel, Patrona, middle school math, every lesson, every quiz, every keystroke, it's all fed into the School of One algorithm. At the end of every day, each kid takes a test. Now, the algorithm can learn what the kid learned today, which lessons stuck, which topics need more attention, how each kid learns the best. Every day, as the kid gets a little bit smarter, the algorithm does too. Far from IS 339 in the Bronx, all the way down in Lower Manhattan in the old Tweed Courthouse, the School of One team sits in a big, open room. There are laptops, whiteboards on wheels, the standard intensity of a startup.

• 22:14Stephen J. Dubner?

  Chris Rush is a co-founder of the project. If Joel Rose is the education theory guy for School of One, Rush is the tech savant. In some ways, he's the algorithm. He's sitting in front of two computer screens.

• 22:29Speaker 06

  So what I'm doing is I'm looking at the results from the entire week, and I have a grid here that has every student and it has every skill that they could be learning, a skill such as adding fractions or circumference of a circle. And I can see how many lessons they've had on each skill. I can see how fast they're moving through those skills. So what I'm monitoring is I'm looking for skills where kids are getting stuck so that we can target those to improve the program around adding fractions or circumference of a circle. And I can also make sure that any kids that are getting stuck get the proper attention they need. So I tally how fast kids are moving through the skills, and we give them a rating, sort of like par in golf.

• 23:11Speaker 06

  So if they're beating par, the average, or if they're ahead of it, and we take the kids that are falling behind, and we say, what's happening here? How can we do something better for them and upgrade our algorithm and pull them out to make sure they're getting the proper attention?

• 23:23Stephen J. Dubner?

  Okay, so we talked to a pretty enthusiastic boy named Lionel. Who was happy to be in the program, was so happy that he was telling his friends they should stop going home after school and playing video games and instead come here and play math computer games. He said he successfully recruited one or two kids. So, let's look at Lionel. Tell us what he's been doing, how he's doing, what direction he's moving in.

• 23:46Speaker 06

  Okay, so I'm going to pull up Lionel here. And what I really see, Lionel's one of those great case studies, actually. The nice story about Lionel is that Lionel was really struggling in the month of March. He was taking him 10 exposures, 12 exposures, to learn certain skills. And now Lionel's moving through things with two exposures, three exposures. That's really exciting. That's what we want to see, not just learning the skills, but he's learning how to learn skills faster. We have one skill here that's on hold because Lionel needs to come back to it, and that's dealing with, this particular skill happens to be dealing with algebraic expressions. And that seems to be where he's having more trouble, where geometry seems to be something that he's doing much better in.

• 24:22Stephen J. Dubner?

  So, what do you do with that information? Where does that steer you to steer him, to help steer him?

• 24:27Speaker 06

  So, we'd look a little more closely. Is it geometry that he's doing well with, or is it the way that we were teaching him geometry? And in this particular case, it actually looks like we were teaching him geometry a bit differently than we were teaching him how to deal with algebraic expressions. So, the first thing we would do is try to take the methods that we taught him geometry and apply them to him learning algebraic expressions.

• 24:47Stephen J. Dubner?

  So, the idea, I'm guessing, is that you will find out what approach works best for each kid, and that you will end up with a manageable mix. Because if everybody needs the live teacher instruction, then you're back to 28 kids in a box, yeah?

• 25:01Speaker 06

  Correct. It's very much like the Pandora Music Service online, where you enter in a song name or an artist, and it tries to guess the next best song for you. And maybe it guesses right the first time, but by the two or three songs in, basically it works the same way here. If a student tries small group collaboration and they don't do well that day, we give that a thumbs down. If they do small group collaboration and they do well, we give it a thumbs up. So, we can rate our schedules every day for each student, so we get smarter and smarter at choosing the next day's schedule for each student.

• 25:36Stephen J. Dubner?

  Okay, Tim, so you've let me hijack your Pandora account. So I'm, we're listening to the Pandora account of the Pandora guy. And, and we're on Ben Fold's radio. That's your station here.

• 25:48Speaker 12

  That's the heart of my genome.

• 25:50Stephen J. Dubner?

  Is that right?

• 25:51Speaker 12

  Yeah, yeah, I dig all that stuff.

• 25:52Speaker 13

  6:00 AM, day after Christmas. I throw some clothes on in the dark. The smell of cold, car seat is freezing. The world is sleeping, I am numb.

• 26:17Stephen J. Dubner?

  Tim Westergren is the founder of Pandora. It is built on what he calls the Music Genome Project, whereby a bunch of musician analysts painstakingly break down each song into hundreds of qualities, from rhythmic patterns to guitar style to antiphony. In the summer of 2011, the company went public and was capitalized at nearly $3 billion. Pandora's database now contains nearly a million songs by 100,000 artists. It has more than 100 million registered users.

• 26:52Speaker 12

  Yeah, that's right. It's grown like a weed.

• 26:55Stephen J. Dubner?

  Wow. So more people are Pandora listeners than are, let's say, users of Reynolds Wrap, probably.

• 27:04Speaker 12

  That's not the first correlation I would have thought of, but that may be true.

• 27:10Stephen J. Dubner?

  So what Pandora does is you customize a radio station for anyone who asks you, or as many radio stations as they want. So do you feel a bit like we've entered a new world where essentially everything is customizable?

• 27:24Speaker 12

  Yeah, I think that's basically true. And I think what the web did at first was made everything available. That was kind of the first phase, I think, of the web. And the second phase is to kind of repair that and make all that stuff that's sort of so voluminous actually navigable. And, and I think that's where Pandora sits. You know, we... We look at music and say, you've got this tyranny of choice on the web. It's like walking into a record store and you've got 80,000 CDs to choose from and you need to figure out where to start. We're trying to do that with music. And the Music Genome Project's purpose is to make that easy for someone.

• 28:06Stephen J. Dubner?

  Our public schools are longing for a tyranny of choice, the misery that comes from having too many options. Is School of One the answer? That's impossible to say. So far, the early returns look good. Here's Joel Rose again.

• 28:23Speaker 05

  Before the program began, every student took a pre-test that was aligned to the skills on their playlist. The average score was 42%. The end of the program, roughly 50 to 60 hours of instruction later, they took a post-test on the same skills. Post-test scores averaged 70%. We asked the DOE Research and Policy Team, is that good? Is that not good? How do we contextualize that? They did an analysis and found that these gains were, depending on what we consider a control, four to eight times the gains we would see in traditional schools in roughly a third of the time.

• 29:01Stephen J. Dubner?

  If and when education is customized, there will be fortunes made and maybe lost. There will be competition among technology vendors and content providers and a million others. There will be turf wars with teachers' unions. Would School of One require fewer teachers? Or maybe more? Less money or more? Joel Rose says it's simply too early to answer these questions. What we do know is that a future with something like School of One will be different, very different. Technology, instead of being discouraged in schools, would move to the head of the class. Teachers would have to be trained differently. Here's Blair Heiser, the math department chair at IS339 and a teacher at School of One.

• 29:45Speaker 14

  The fear of School of One is just that students might get lost, given that there isn't that traditional 25 kids, one teacher, that teacher works with those students every day. And so I think that's the one hesitation or fear is it's different, it's new, it's something that hasn't really happened before. And that's, you know, as a teacher, if you're used to, if you've taught 15 years or 20 years in one way, it's very challenging and, you know, kind of think outside the box in terms of your instruction.

• 30:13Stephen J. Dubner?

  Arnie Duncan, the Secretary of Education, thinks that most of what's happened in the past isn't really worth hanging on to.

• 30:20Speaker 04

  I think our Department of Education has been part of the problem historically. I've been very honest about that. And as hard as we're pushing everybody else to move outside their comfort zone and do more, I promise you, we're trying to be very self-critical, look at, look ourselves in the mirror every single day. And historically, we've been this compliance-driven, big bureaucracy. And we are fundamentally trying to change what we do from being this big bureaucracy to being this engine of innovation and scaling up what works.

• 30:43Stephen J. Dubner?

  Instruction already is changing. Across the country, there's been a big spike in students enrolled in full-time virtual schools. The Khan Academy, with its simple do-it-yourself video lectures, has started distributing its material to school systems. And since we first talked to Joel Rose, there've been big changes at School of One. He left the project to start a new nonprofit organization that hopes to take the mixed modality model national. But let's not get too excited. A lot of experiments look good in the lab. New York City alone has 1.1 million schoolchildren. Can they really be taught one at a time?

• 31:27Stephen J. Dubner?

  Can an algorithm, a playlist, help teachers do their jobs better? Can that algorithm really help a kid like Lionel find his own music? The odds seem long, but just think how long the odds might have seemed 10 years ago, flailing around at the radio dial, hoping to find just the right song.

• 31:57Stephen J. Dubner?

  Have you heard from anyone for whom Pandora really changed the shape of their life in some way? Maybe it resulted in a courtship, in a marriage, a divorce, a murder?

• 32:07Speaker 12

  We had someone whose father was ill, or was aging and was in a home, kind of reaching the end of his life. And in the last few months, they discovered Pandora. And they shared it with him, and he really took to it. And so when they visited him every day, he would listen to Pandora all day long. And it became kind of a real companion. And he eventually passed away, but he passed away listening to Pandora. And because, you know, when you die, you're given a time of death, the family wrote us to thank us and told us the time of death. And we actually wrote them and told them which song was playing

• 32:48Speaker 12

  when he died. And we sent them a CD, and they played that song at his funeral.

• 33:17Speaker 02

  Freakonomics Radio is produced by WNYC, APM, American Public Media, and Dubner Productions. This episode was produced by Colin Campbell and Amy Machado. Our staff includes Susie Lechtenberg, Diana Nguyen, Catherine Wells, Borey Lam, and Chris Bannon. This episode was mixed by Michael Rayfield and John Delore. Special thanks to Jacob Berman. If you want more Freakonomics Radio, subscribe to our podcast on iTunes and go to Freakonomics.com, where you'll find lots of radio, a blog, the books, and more.

• 33:56Stephen J. Dubner?

  Freakonomics Radio is sponsored by EverPure. Is the value of AI not living up to the promise? The problem is probably your data, not your AI models. When it's scattered across different systems, getting your data AI-ready is a challenge. You keep your AI waiting and everything slows down. EverPure unifies your data so you can see it, understand it, and control it all from one simple place and get it AI-ready fast. Unlock the true value of your AI at everpuredata.com. Freakonomics Radio is sponsored by Ozempic. Innovation happens through rethinking what's possible, and when it comes to GLP-1s, Ozempic pill does just that.

• 34:38Stephen J. Dubner?

  Learn more about Ozempic semaglutide tablets, 4 and 9 milligrams, by calling 1-833-OZEMPIC or visit ozempic.com to view the medication guide and ask your doctor what's possible with FDA-approved Ozempic pill. Freakonomics Radio is sponsored by Southern Company. The world and its energy needs are always changing. Southern Company's commitment to meeting this demand stays the same. That's because Southern Company believes energy is more than a utility, it's what powers possibilities. So they are looking ahead and investing $80 billion in infrastructure upgrades and are committed to fueling growth in ways that benefit all customers so that reliable and

• 35:23Stephen J. Dubner?

  affordable energy is accessible for generations to come. Go to southerncompany.com to learn more. Southern Company: building the future of energy.

• 35:37Speaker 15

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