TED Talks Daily - In defense of hip-hop | Roland Fryer

Episode Date: February 2, 2026

Hip-hop often gets blamed for its controversial lyrics. What if there was a way to actually measure its impact on people's lives? Analyzing 40 years' worth of radio station data and lyrics from rapper...s like Tupac, Dr. Dre, Jay-Z and Kendrick Lamar, economist Roland Fryer puts one of culture's most notorious debates on trial — and the results are not what you might expect.Learn more about our flagship conference happening this April at attend.ted.com/podcast Hosted on Acast. See acast.com/privacy for more information.

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Starting point is 00:00:06 You're listening to TED Talks Daily, where we bring you new ideas and conversations to spark your curiosity every day. I'm your host, Elise Hume. What do hip-hop and economics have in common? In this talk, Harvard economist Roland Friar shares that while hip-hop often gets blamed for controversial lyrics, the genre is uniquely primed to reflect on deeper societal issues. Using the tools of an economist, he analyzed hundreds of thousands of songs, uncovering how the genre can offer a voice to the unheard, and if we're willing to listen, shed light on the complexities of race, class, and opportunity in a way few other mediums can.
Starting point is 00:00:46 Do you remember where you were when you first heard the Sugar Hill Gang? Now what you hear is not a test. I'm rapping to the bee. And me, the groove, and my friends were going to try to move your feet. Okay, you kind of remember it? Okay, I'm a professor, so here's your quiz. Everybody say hotel, motel. Okay, stop that, stop that.
Starting point is 00:01:22 We can't have that kind of fun. I work at Harvard. I first heard that song, it's like 1985. It was a block party in Daytona Beach, Florida. And people were moving in ways I'd never seen before. Now, I'm not talking about my friend, Man, Man. I'm talking about my grandmother. She was doing stuff I can't un-see.
Starting point is 00:01:45 She was like down in here. And I was like, whoa, grandma. That was 40 years ago. And hip hop has taken over. It is the most popular music genre in the world, particularly among young people. It has its effect on music, on language, on clothing, on social media. even to a data nerd like me is immeasurable. But somehow that's all obvious, right?
Starting point is 00:02:22 It didn't really dawn on me until a few months ago. I'm a Peloton addict. And I went to New York for the live ride. And I'm in the studio. We're 35 minutes in. I don't know how to simulate it. I was thinking about this. How do you simulate the bicycle?
Starting point is 00:02:40 Here we go. I was 35 minutes in. I peep the person next to me and her handle is ride or die 2000. And they get us up out of our saddles, 35 minutes in. And on beat,
Starting point is 00:02:55 she gets up out of the saddle, she starts screaming and pounding the handlebars. Kill, kill, kill, murder, murder. Scare the crap out of me. In that moment, I realized two things. Number one, hip hop done made it,
Starting point is 00:03:20 there is a middle-aged white woman from Charleston, South Carolina, talking about murdering somebody in public. And number two, according to some of y'all, because of those lyrics, she's likely to murder someone this afternoon. And I'm selfish. I want to know who. Hip-hop is everywhere. I collected data, we collected data, a team of us,
Starting point is 00:03:53 collected data on every radio station in America. And for every radio station, we know the genre of the song. Now, to collect the data, first we went and got literally every radio handle. And for every radio handle, we have the broadcast frequency and range from each one of them. And then we have the genre. And then for some of the radio stations, we actually, have the playlist that were on the radio. And for those playlists, of course, we have the songs. We analyzed every lyric that has been played on many radio stations in America. Now, it took a team of
Starting point is 00:04:38 us to do this. And with the advances in AI, we made more progress in the last six months than we made in the first 10 years. Now, you can imagine having research assistants sit and listen to a bunch of hip hop and score it all day long. AI has been much, much more helpful. We've looked at the evolution of the types of hip hop played on the radio over the last 40 years. The bottom is what I call alternative, or what they call alternative or experimental hip hop. Think outcast. It's a small portion, but this is the kind of hip hop that pushes boundaries. The second is conscious or lyrical hip-hop. Think Kendrick Lamar, who was brilliant enough to win a pure surprise for his lyrics. That's the next sliver. The big part is mainstream hip-hop, the type that's played on the radio most of the
Starting point is 00:05:38 time. Think Jay-Z, or I'm a little older, run DMC. Now at the top, that's where the controversy is. That is street rap, or think Dr. Dre, Tupac. What I want you to get from this is that that was a small portion of the overall hip hop played on the radio for the last 40 years. Now, of course, it increases in the last 10 years, but even still, a minority of the hip-hop played. Now, as I said, we have hundreds of thousands of songs we've processed, and we have the lyrics for each one of these songs.
Starting point is 00:06:17 We train the AI to grade each song in terms of how misogynistic it was, how violent the content is, how profane the language is, and the drug references. Over the last 40 years, hip-hop music has gotten five times more misogynistic, five times more violent, five times more profane, but only two and a half as many times as many drug references. Now, what are you supposed to do? I've heard about this my entire life, my grandmother who raised me, where she'd find a CD I was hiding, and she said,
Starting point is 00:06:51 I know you don't listen to this field. honey. What do you do? Maybe we should lean in. Maybe we should just have an award for the most extreme hip-hop song, right? I've always wanted to go to the Grammys. Now, I don't think the Grammy is going to do it, so maybe we should have a Grimy. So what we did was we scored every single song on the four dimensions I described, and we took a look at, we said, who is the winner for the most extreme hip-hop song of all time. Now, before I tell you, one song was so extreme that the AI refused to grade it. I'm not lying it. Well, clearly the Achilles heel of AI is hip-hop because AI refused to look at it. I got an email from Claude that says, man, I just got this job. I'm not
Starting point is 00:07:54 reading this stuff at work. I mean, it's... Okay, I didn't get that email, but in my head, it would be interesting. The winner of the first annual and only ever Grammy Award goes to about that by masterpiece. Whoa. Now, I want to wrap you a few bars during rehearsal. They're like, nope, cut that part out. What to do? I agree these. lyrics are crazy. And people have been talking about it for a long time. You remember Geraldo that said hip hop is the worst, has been done more damage to black people than racism. Cynthia Tucker said, you can't listen to all this language and have it not affect you. Cynthia Tucker is amazing. Civil rights activists. Do you know she actually sued Tupac? Do you know how tough he? You know how tough
Starting point is 00:08:57 you have to be to sue Tupac? But the question really is, at least to an economist, is does it actually hurt? Because there have been times in my life in which the things that you would view as profane were actually comforting to me. In 1993, I was 15 years old, and I drove to a prison to be. visit my father. And after our little visit, I got back in the car. That's actually how I learned how to drive a stick shift. I drove second gear all the way there. I got back in the car and I put in the Minister Society soundtrack. An MC8 came across the speakers. And he said, a fucked up childhood
Starting point is 00:09:57 is why the way I am. It's got me in the state where I don't give a damn. Somebody. help me, but no, y'all don't hear me, though. I guess I'll be another victim of the ghetto. Now, that would score high on profanity and violence. But in that moment, it scored high on comfort. And so the question I've asked myself for more than a decade is, does this actually help? or does it hurt? Now, we have places where hip-hop went before it went to other places.
Starting point is 00:10:44 And because of those radio frequencies I talked about, I can actually see in the data. There are kids who have very similar backgrounds, live in similar homes, have similar parents. One is exposed to some type of lyrics, and another is exposed to another. And we can relate those, and we do, to 40 different variables
Starting point is 00:11:05 that measure social and economic progress, things like teen pregnancy, things like unemployment, income, crime. On every dimension, all 40 of them, we find zero evidence that hip-hop has a negative effect on any outcomes. And what you see is a statistically no relationship, but if anything, slightly downward sloping,
Starting point is 00:11:36 which means exposure to hip-hoping. made things, if anything, better, not worse. And I know some of you are thinking, what about the lyrics? I've got two daughters I adore. We listen to hip-hop, but not Master P. What about those lyrics? Look, blaming hip-hop for its unvarnished truths is like faulting a photograph for the subject matter.
Starting point is 00:12:07 I was told my entire life that hip-hop causes inequality. Well, if you actually process hundreds of thousands of songs and relate it to outcomes, the data actually suggests the opposite, that inequality causes hip-hop. So the solution's simple. If we want gentler lyrics, how about we work together to change the social,
Starting point is 00:12:45 conditions that produce the lyrics. Thank you. And when we can dance, it's not going to hurt you. That was Roland Fryer at TED 2025. If you're curious about Ted's curation, find out more at TED.com slash curation guidelines. And that's it for today. TED Talks Daily is part of the TED Audio Collective.
Starting point is 00:13:19 This talk was fact-checked by the TED Research Team and produced and edited by our team, Martha Estefanos, Oliver Friedman, Brian Green, Lucy Little and Tonica Sung Marnivong. This episode was mixed by Christopher Faisi Bogan. Additional support from Emma Tobner and Daniela Balerazo. I'm Elise Hugh. I'll be back tomorrow with a fresh idea for your feed. Thanks for listening.

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