WEBVTT - The Tipping Point Revisited: Broken Windows

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<v Speaker 1>Pushkin. What did it mean to go out on a

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<v Speaker 1>Saturday or Friday night in nineteen ninety three in New York.

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<v Speaker 2>It was kind of like a given.

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<v Speaker 3>You know, you wear a fanny pack and once you

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<v Speaker 3>are on the streets, you turn it around so it's

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<v Speaker 3>in front of.

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<v Speaker 2>You so you can see it.

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<v Speaker 1>Did you really do that?

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<v Speaker 4>Absolutely?

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<v Speaker 5>Well?

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<v Speaker 2>I actually I did interrupt, but I remember I just

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<v Speaker 2>had a flash of remember keys. We all had.

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<v Speaker 1>Keys, and I used to around with keys.

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<v Speaker 2>So that each one. What would I have actually done

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<v Speaker 2>if someone had attacked me? I would put my keys

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<v Speaker 2>between my fingers.

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<v Speaker 1>Yeah, so that someone atactly I was ready. Not long ago,

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<v Speaker 1>I called up two friends so I used to hang

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<v Speaker 1>out with when I first moved to New York City

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<v Speaker 1>in my twenties, Peggy and Erica. Back in the nineties,

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<v Speaker 1>we were all young and footloose and on edge. I

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<v Speaker 1>seem to remember that at the end of every evening

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<v Speaker 1>there was a discussion about everyone had to We all

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<v Speaker 1>had to talk about everyone's plan for getting home. Do

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<v Speaker 1>you remember this? And if you didn't, who did? And

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<v Speaker 1>didn't have money for a cab? Did anyone under what

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<v Speaker 1>circumstances would you take the subway on a Friday night after.

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<v Speaker 2>Dinner if you were in a large group.

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<v Speaker 1>Only if you're in a large group, a large group.

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<v Speaker 2>And it was like a little adventure. So six people

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<v Speaker 2>would all get on the subway late at night, and

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<v Speaker 2>you felt like you were being adventurous.

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<v Speaker 6>Yeah, thinking back on it, it felt very collegial.

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<v Speaker 4>We did things as a group.

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<v Speaker 7>Yeah, you were never left alone.

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<v Speaker 1>The New York City of that era was one of

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<v Speaker 1>the most dangerous big cities in America. The subway was filthy,

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<v Speaker 1>there was graffiti everywhere. There were two thousand, two hundred

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<v Speaker 1>and sixty two murders in New York and eighteen ninety

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<v Speaker 1>more than six a day. Were we personally at risk?

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<v Speaker 1>I don't know, but it felt like crime was all

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<v Speaker 1>around us.

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<v Speaker 3>You know.

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<v Speaker 4>Someone would always say, Hey, don't worry, I'm walking you home.

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<v Speaker 1>We were never allowed to walk along.

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<v Speaker 2>Yeah, even on it right, people would walk me home

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<v Speaker 2>just because you didn't want to be by yourself.

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<v Speaker 1>As a won when you went on on a date,

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<v Speaker 1>even if it was a disaster, you had to walk.

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<v Speaker 1>You had to walk the woman home, right, which is

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<v Speaker 1>like so insanely awkward.

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<v Speaker 7>You're like, we were, you know, independent women but once

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<v Speaker 7>the sun went down, you never walked alone.

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<v Speaker 1>Let's tell about how it gets better. I just remember

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<v Speaker 1>that all of a sudden, all of the precautions seemed

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<v Speaker 1>to go out the window right, and it's shoe. Statistically,

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<v Speaker 1>we know by ninety seven or ninety eight the murder

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<v Speaker 1>rate has dropped. I remember this. I had a bedroom

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<v Speaker 1>when I was living on that in that walk up

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<v Speaker 1>on Bank Street. My bedroom window overlooked the fire escape,

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<v Speaker 1>and I had previously been too scared to open my

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<v Speaker 1>window at night, And then I started to open my

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<v Speaker 1>window at night, so that technically someone could have walked

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<v Speaker 1>up down up to fire escape and walked in. But

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<v Speaker 1>I was like, it's fine, now I can sleep. My

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<v Speaker 1>name is Malcolm Gladwell. You're listening to Revisionist History, my

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<v Speaker 1>podcast about things overlooked and misunderstood. This is part of

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<v Speaker 1>a series introducing my new book, Revenge of the Tipping Point,

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<v Speaker 1>now available everywhere. And in this episode, I'm looking back

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<v Speaker 1>that the question that got me started on tipping points

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<v Speaker 1>twenty five years ago. How in the nineties did New

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<v Speaker 1>York become one of the safest cities in America. In

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<v Speaker 1>nineteen ninety six, I wrote an article for The New

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<v Speaker 1>York and Mega trying to explain this puzzle. It was

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<v Speaker 1>called The Tipping Point. That article led to my first book,

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<v Speaker 1>called The Tipping Point, where I offered a more complete explanation.

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<v Speaker 1>The success of The Tipping Point led to another book

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<v Speaker 1>and another. I wouldn't be here today talking to you

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<v Speaker 1>were it not for my obsession way back when about

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<v Speaker 1>what happened to crime in New York in the nineteen nineties.

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<v Speaker 1>And now I've written a sequel to that first book.

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<v Speaker 1>Did I mention that it's at in bookstores everywhere. It's

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<v Speaker 1>called Revenge of the Tipping Point. And in that spirit,

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<v Speaker 1>I've decided to go back and conduct an audit of

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<v Speaker 1>my conclusions from twenty five years ago, to look at

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<v Speaker 1>my thirty something self in the eye and ask was

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<v Speaker 1>I right Back in the nineties. I used to go

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<v Speaker 1>to New York University's library all the time to look

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<v Speaker 1>for ideas, bopes. A big squat redstone building on Washington

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<v Speaker 1>Square in Greenwich Village. This was before Google, so I

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<v Speaker 1>was my own search engine. I'd wander the stacks for hours,

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<v Speaker 1>and one day I was on the fifth floor in

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<v Speaker 1>the HM one Dot, a sixth aisle and I started

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<v Speaker 1>leafing through the bank issues of the American Journal of

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<v Speaker 1>Sociology from nineteen ninety one, and I found a paper

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<v Speaker 1>written by a professor named Jonathan Crane entitled the Epidemic

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<v Speaker 1>Theory of Ghettos and Neighborhood Effects on Dropping Out and

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<v Speaker 1>teenage Childbearing. A choice of words no one would use today.

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<v Speaker 1>This is how it started. The word epidemic is commonly

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<v Speaker 1>used to describe the high incidence of social problems in ghettos.

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<v Speaker 1>The news is filled with feature stories on crack epidemics,

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<v Speaker 1>epidemics of gang violence, and epidemics of teenaged childbearing. The

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<v Speaker 1>term is used loosely in popular parlance, but turns out

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<v Speaker 1>to be real remarkably apt. The word epidemic to Crane

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<v Speaker 1>wasn't a metaphor, It was a literal description. His point

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<v Speaker 1>was that if you look closely at how those problems spread,

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<v Speaker 1>how and why they go up and down, it looks

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<v Speaker 1>exactly like the way viruses spread, same rules, same patterns.

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<v Speaker 1>And when I read that first paragraph, I thought, oh

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<v Speaker 1>my god, this is exactly what happened in New York City.

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<v Speaker 1>We had a real, live epidemic of crime. And what

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<v Speaker 1>is the hallmark of an epidemic, a tipping point, the

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<v Speaker 1>moment when everything changes all at once. That moment when

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<v Speaker 1>I left my window open because I suddenly felt safe

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<v Speaker 1>was our tipping point, and so front and center in

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<v Speaker 1>my first book was a description of what I saw

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<v Speaker 1>as the reason why New York's epidemic suddenly tipped the

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<v Speaker 1>police department's commitment to broken windows. Policing broken windows was

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<v Speaker 1>a theory that small rhymes or invitations for large crimes.

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<v Speaker 1>That if you let people get away with little things,

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<v Speaker 1>then you were signaling that it was okay to cross

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<v Speaker 1>the line into bigger things, like serious acts of violence.

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<v Speaker 1>And so what do you do? You don't let people

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<v Speaker 1>get away with the little things. He was taking the

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<v Speaker 1>concept of an epidemic and applying it to crime. Lawlessness

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<v Speaker 1>wasn't random. It was something you could catch from those

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<v Speaker 1>around you, the same way you can catch a cold

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<v Speaker 1>from a warm, stuffy room full of four year olds.

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<v Speaker 8>If somebody urinates in public, the person is telling you

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<v Speaker 8>I got a big problem. This is what broken windows

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<v Speaker 8>theory is all about.

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<v Speaker 1>The biggest champion of this idea was Rudy Giulioni, the

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<v Speaker 1>mayor of New York City at the time. Here he

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<v Speaker 1>is at a press conference in the mid nineties, a

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<v Speaker 1>few years into the Broken Windows experiment, where in a

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<v Speaker 1>span of just a minute and a half he references

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<v Speaker 1>public urination eight times.

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<v Speaker 8>I mean, if some guy is urinated in public, we

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<v Speaker 8>got a problem. Now you can do one of two things.

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<v Speaker 8>You can ignore the problem and say, gee, I'm such

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<v Speaker 8>a big, fuzzy headed liberal that I'm going to walk

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<v Speaker 8>away from it, and you're gonna make believe they have

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<v Speaker 8>no problem. That's New York City in the nineteen eighties.

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<v Speaker 8>That's New York City with two thousand murders. That's New

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<v Speaker 8>York City with five hundred thousand crimes. You have to

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<v Speaker 8>pay attention to people urinating on the streets, and you

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<v Speaker 8>have to get people to stop urinating on the streets.

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<v Speaker 8>That's moving towards civilization, that's moving toward decency. That's what

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<v Speaker 8>I mean by a decent society that people want to

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<v Speaker 8>invest in, people want their children to live in. You've

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<v Speaker 8>got to pay attention to somebody urinating on the street.

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<v Speaker 8>It may be a minor thing, it may be a

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<v Speaker 8>serious thing, but you cannot ignore it. You have to

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<v Speaker 8>deal with it. It is against the law to urinate

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<v Speaker 8>in public.

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<v Speaker 1>Giuliani was elected in nineteen ninety three and re elected

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<v Speaker 1>in ninety seven by a huge margin. Under his watch,

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<v Speaker 1>the city was revitalized. People who had fled for the

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<v Speaker 1>suburbs came back. Huge parts of Brooklyn were gentrified. Central

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<v Speaker 1>Park was cleaned up. I cannot tell you how gratifying

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<v Speaker 1>it was to be a New Yorker in those years

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<v Speaker 1>and finally get a mayor who said enough, you can't

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<v Speaker 1>jump subway turnstiles and smoke dope on the corner and

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<v Speaker 1>harassed pedestrians. But Giuliani wasn't just making an argument for civility,

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<v Speaker 1>that it was more pleasant to live in a city

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<v Speaker 1>where the streets were clean and the police were alert

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<v Speaker 1>to every sign of disorder. He was making a more

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<v Speaker 1>extravagant claim that arresting the guy urinating on the street

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<v Speaker 1>was the reason why the murder rate dropped, and I

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<v Speaker 1>believed him. Malcolm Gladwell is about to publish a book.

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<v Speaker 7>Whenever it happens, huge things occur.

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<v Speaker 1>About ten years ago, the journalist John Ronson did a

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<v Speaker 1>retrospect dive on the tipping Point for a British program

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<v Speaker 1>called The Culture Show, and he talked to a public

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<v Speaker 1>defender in The Bronx named Kate Rubin No.

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<v Speaker 6>I would go around and I would talk to people

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<v Speaker 6>in New York City, and the liberal people progressive people

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<v Speaker 6>would say, oh, well, you know, we've had this miracle

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<v Speaker 6>in New York and some people would say, oh, yeah,

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<v Speaker 6>Malcolm Gladwell's idea broken windows.

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<v Speaker 1>I didn't watch any of this at the time, even

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<v Speaker 1>though Ronson interviewed me for the segment too. But I

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<v Speaker 1>found it while working on this episode, and it made

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<v Speaker 1>me realize the claims I made in The Tipping Point

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<v Speaker 1>had far more reach than I'd ever imagined.

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<v Speaker 6>Some people knew that it wasn't his idea, but that

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<v Speaker 6>he had popularized it. They'd read about it in The

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<v Speaker 6>New Yorker and his book, The Tipping Point. I would

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<v Speaker 6>never try to speak to what his intent was, but

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<v Speaker 6>I think the impact that.

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<v Speaker 2>He had was to serve as.

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<v Speaker 6>Basically a marketing force for this idea. He truly popularized.

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<v Speaker 1>It, so once again was right. On the afternoon of

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<v Speaker 1>February twenty seventh, two thousand and eight, a young man

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<v Speaker 1>named David Floyd left his apartment on Beach Avenue in

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<v Speaker 1>the Bronx. As he walked down the pathway next to

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<v Speaker 1>his building. He ran into the tenant to live downstairs,

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<v Speaker 1>who said he'd locked himself out of his apartment.

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<v Speaker 9>I was leaving my apartment to actually go to school.

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<v Speaker 9>Heading to school, I had my book bag on, you know,

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<v Speaker 9>everything that normal students do as they're going to school.

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<v Speaker 1>Missus Floyd, speaking in an interview with the Civil Rights Group,

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<v Speaker 1>raced forward. The landlord was Floyd's godmother, so Floyd went

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<v Speaker 1>back inside to her apartment to get a ring of keys,

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<v Speaker 1>and as he and the tenant tried to figure out

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<v Speaker 1>which key worked in the door, three plane clothes police

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<v Speaker 1>officers suddenly emerged. There have been reports of burglars in

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<v Speaker 1>the neighborhood, and here were two young men trying to

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<v Speaker 1>get into a locked up department.

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<v Speaker 9>We were stopped. We were first. We were of course

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<v Speaker 9>told to put our hands up to stay where we were.

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<v Speaker 1>This was how the police put broken windows into practice.

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<v Speaker 1>Don't let the little things pass you by. Be aggressive.

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<v Speaker 1>Check for weapons, drugs. Maybe you find them, maybe you don't.

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<v Speaker 1>But if you do that enough times, then young men

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<v Speaker 1>leave their guns and drugs at home. Floyd had actually

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<v Speaker 1>been stopped the previous April while walking down the street,

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<v Speaker 1>followed by three officers in a van who jumped out

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<v Speaker 1>and confronted him.

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<v Speaker 9>And again, it's just the whole experience. It's humiliating, it's embarrassing,

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<v Speaker 9>and really, you know, it doesn't matter what kind of

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<v Speaker 9>person you are, how tough you are, whatever, it's a

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<v Speaker 9>scary thing because you don't know what is going to

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<v Speaker 9>happen with your life. You don't know what's going to

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<v Speaker 9>happen with your freedom.

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<v Speaker 1>Floyd becomes the face of a massive class action lawsuit

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<v Speaker 1>Floyd the City of New York, challenging the NYPDS policy

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<v Speaker 1>of stop and frisk, and in twenty thirteen, Floyd wins.

0:13:18.156 --> 0:13:21.476
<v Speaker 1>In a shocking ruling, a federal judge said the NYPD's

0:13:21.596 --> 0:13:26.116
<v Speaker 1>use of stopping frisk was unconstitutional, effectively ending the broken

0:13:26.156 --> 0:13:29.636
<v Speaker 1>windows era in New York City policing. Yes, it still

0:13:29.636 --> 0:13:31.756
<v Speaker 1>happens today, but not in the way that they did

0:13:31.876 --> 0:13:35.996
<v Speaker 1>ten years ago, not even remotely close. It's no exaggeration

0:13:36.116 --> 0:13:39.476
<v Speaker 1>to say that this was one of the most consequential

0:13:39.516 --> 0:13:41.756
<v Speaker 1>court cases in the city's history.

0:13:42.476 --> 0:13:44.716
<v Speaker 4>A lot of people at the time, and I think,

0:13:44.876 --> 0:13:47.196
<v Speaker 4>you know, not without reason, said wow, this is going

0:13:47.276 --> 0:13:48.916
<v Speaker 4>to compromise public safety.

0:13:49.316 --> 0:13:51.636
<v Speaker 1>This is Aaron Chelfin, who's part of a group of

0:13:51.636 --> 0:13:55.796
<v Speaker 1>criminologists who have devoted themselves to understanding what exactly happened

0:13:55.796 --> 0:13:56.276
<v Speaker 1>in New York.

0:13:56.516 --> 0:13:58.436
<v Speaker 4>The police are no longer going to be able to

0:13:58.476 --> 0:14:01.076
<v Speaker 4>make a lot of stops and really show people that

0:14:01.116 --> 0:14:04.476
<v Speaker 4>they were being proactive, so that might embolden more gun carrying,

0:14:04.516 --> 0:14:06.276
<v Speaker 4>more violence, more homicide.

0:14:06.956 --> 0:14:09.356
<v Speaker 1>When Cholfin says that at the time, a lot of

0:14:09.396 --> 0:14:12.156
<v Speaker 1>people thought ending stop and frisk was going to lead

0:14:12.196 --> 0:14:16.156
<v Speaker 1>to crime going back up, he means everyone, city government,

0:14:16.276 --> 0:14:19.316
<v Speaker 1>the police force, pundits of every variety. That's what I

0:14:19.396 --> 0:14:22.756
<v Speaker 1>thought too. What everyone was saying in effect was this, Yes,

0:14:23.156 --> 0:14:26.436
<v Speaker 1>doing hundreds of thousands of police stops a year of

0:14:26.516 --> 0:14:29.156
<v Speaker 1>young men like David Floyd, who maybe doing nothing more

0:14:29.196 --> 0:14:32.916
<v Speaker 1>than helping out a friend is unfortunate, but being killed

0:14:33.276 --> 0:14:36.476
<v Speaker 1>is a lot worse. And since this is what's keeping

0:14:36.516 --> 0:14:39.836
<v Speaker 1>the crime rate down, we don't have a choice. That

0:14:40.156 --> 0:14:43.356
<v Speaker 1>was the calculus. Even the judge in the Floyd case

0:14:43.556 --> 0:14:48.036
<v Speaker 1>begins her ruling by making the same point I emphasize

0:14:48.076 --> 0:14:51.156
<v Speaker 1>at the outset, as I have throughout the litigation, that

0:14:51.276 --> 0:14:54.516
<v Speaker 1>this case is not about the effectiveness of stopping frisk

0:14:54.876 --> 0:14:59.316
<v Speaker 1>in deterring or combating crime. This Court's mandate is solely

0:14:59.356 --> 0:15:04.076
<v Speaker 1>to judge the constitutionality of police behavior, not its effectiveness

0:15:04.276 --> 0:15:08.396
<v Speaker 1>as a law enforcement tool. She goes on many police

0:15:08.436 --> 0:15:14.076
<v Speaker 1>practices maybe useful for fighting crime, preventive detention or coerced confessions,

0:15:14.076 --> 0:15:18.156
<v Speaker 1>for example, but because they are unconstitutional, they cannot be

0:15:18.276 --> 0:15:23.396
<v Speaker 1>used no matter how effective. She's basically saying, there's a

0:15:23.396 --> 0:15:25.236
<v Speaker 1>good chance that crime is going to go back up

0:15:25.316 --> 0:15:28.876
<v Speaker 1>because of my ruling. But the Constitution is the constitution.

0:15:29.956 --> 0:15:34.596
<v Speaker 1>Even the people who hated broken windows thought that it worked,

0:15:35.476 --> 0:15:39.316
<v Speaker 1>but then the very thing that absolutely no one expected

0:15:39.356 --> 0:15:43.596
<v Speaker 1>to happen happens. Crime falls.

0:15:44.156 --> 0:15:47.556
<v Speaker 4>We ended stop question frisk in New York. We know

0:15:47.636 --> 0:15:49.916
<v Speaker 4>that went down by ninety or ninety five percent, depending

0:15:49.916 --> 0:15:54.436
<v Speaker 4>on which numbers you look at, and yet we had

0:15:54.436 --> 0:15:57.636
<v Speaker 4>this incredible, incredible fifty percent to climb in homicide.

0:15:58.196 --> 0:16:01.756
<v Speaker 1>In social science, a natural experiment is when the real

0:16:01.796 --> 0:16:04.156
<v Speaker 1>world provides you with a clean way of measuring the

0:16:04.196 --> 0:16:08.356
<v Speaker 1>truth or falsity of a given proposition. The Floyd decision

0:16:08.756 --> 0:16:12.756
<v Speaker 1>was the perfect natural experiment for broken windows. All you

0:16:12.756 --> 0:16:15.716
<v Speaker 1>have to do is compared before with after.

0:16:16.196 --> 0:16:19.036
<v Speaker 4>The amazing thing about New York is that if you

0:16:19.076 --> 0:16:21.236
<v Speaker 4>look at twenty ten, New York City had a banner

0:16:21.316 --> 0:16:22.476
<v Speaker 4>year in terms of homicide.

0:16:22.476 --> 0:16:22.676
<v Speaker 8>It had.

0:16:22.716 --> 0:16:25.036
<v Speaker 4>It was one of the lowest homicide rates in forty

0:16:25.116 --> 0:16:27.476
<v Speaker 4>years in the city's history in twenty ten, and you

0:16:27.476 --> 0:16:30.116
<v Speaker 4>would have said, well, like, great progress, let's just keep

0:16:30.116 --> 0:16:33.076
<v Speaker 4>it up. Let's keep up the good work. Incredibly, by

0:16:33.116 --> 0:16:36.636
<v Speaker 4>twenty nineteen, the year before the pandemic right, homicides went

0:16:36.636 --> 0:16:39.316
<v Speaker 4>down by fifty percent in New York compared to twenty ten.

0:16:39.476 --> 0:16:42.836
<v Speaker 4>Between twenty ten and twenty nineteen, New York is unique

0:16:43.276 --> 0:16:45.996
<v Speaker 4>in that it had another great homicide decline at a

0:16:46.036 --> 0:16:48.116
<v Speaker 4>time when homicides were really flat nationally.

0:16:48.756 --> 0:16:53.036
<v Speaker 1>This is hands down one of the strangest and craziest

0:16:53.236 --> 0:16:56.996
<v Speaker 1>urban transformations ever. Just to give you a sense, if

0:16:57.116 --> 0:17:00.196
<v Speaker 1>New York City's crime rate in nineteen ninety had just

0:17:00.276 --> 0:17:03.396
<v Speaker 1>stayed the same, didn't change for the next thirty five years,

0:17:03.636 --> 0:17:07.836
<v Speaker 1>the city would have had an additional sixty two thousand homicides,

0:17:08.276 --> 0:17:10.996
<v Speaker 1>most of them in all likelihood young men of color.

0:17:11.836 --> 0:17:15.796
<v Speaker 1>Sixty two thousand young men currently walking around New York

0:17:16.156 --> 0:17:16.996
<v Speaker 1>would be dead.

0:17:17.716 --> 0:17:20.476
<v Speaker 4>And by twenty nineteen, New York is almost as safe

0:17:20.476 --> 0:17:23.356
<v Speaker 4>as Paris with respect to homicide rate. It's New York

0:17:23.436 --> 0:17:25.436
<v Speaker 4>is closer to Paris than it is to other US cities,

0:17:25.476 --> 0:17:28.756
<v Speaker 4>even like Boston, which is another safe city. Right, it's incredible.

0:17:31.996 --> 0:17:34.396
<v Speaker 1>You know how those billionaires left New York City from

0:17:34.436 --> 0:17:37.236
<v Speaker 1>Miami during the pandemic, saying they couldn't deal with the

0:17:37.276 --> 0:17:40.916
<v Speaker 1>taxes and the crime. Well, the violent crime rate in

0:17:40.956 --> 0:17:44.236
<v Speaker 1>New York City after that second wave is half that

0:17:44.356 --> 0:17:47.516
<v Speaker 1>of Miami. If you're really worried about crime, you should

0:17:47.516 --> 0:17:50.796
<v Speaker 1>be selling your waterfront home in Coral Gables before someone

0:17:50.876 --> 0:17:55.716
<v Speaker 1>murders you and move somewhere much safer like the Bronx.

0:17:56.476 --> 0:18:00.876
<v Speaker 1>Or here's another. JD. Vance, the junior senator from Ohio,

0:18:01.076 --> 0:18:06.156
<v Speaker 1>tweets this in twenty twenty one, serious question. I have

0:18:06.236 --> 0:18:07.956
<v Speaker 1>to go to New York soon, and I'm trying to

0:18:07.956 --> 0:18:10.876
<v Speaker 1>figure out where to stay. I've heard it's disgusting and

0:18:10.996 --> 0:18:14.236
<v Speaker 1>violent there. But is it like Walking Dead Season one

0:18:14.836 --> 0:18:18.396
<v Speaker 1>or season four? I know, I know there's a whole

0:18:18.436 --> 0:18:22.236
<v Speaker 1>cottage industry of unearthing crazy things. J. D. Vance once said,

0:18:22.756 --> 0:18:26.636
<v Speaker 1>but Vance is from just outside Cincinnati. The violent crime

0:18:26.716 --> 0:18:29.756
<v Speaker 1>rate in Cincinnati at the exact moment he wrote that

0:18:29.796 --> 0:18:33.356
<v Speaker 1>tweet was twice the violent crime rate in New York City.

0:18:33.996 --> 0:18:37.476
<v Speaker 1>Serious question, Senator. I have to go to your hometown soon,

0:18:37.716 --> 0:18:40.076
<v Speaker 1>and I'm trying to figure out where to stay because

0:18:40.076 --> 0:18:43.476
<v Speaker 1>compared to where I come from, it's disgusting and violent there.

0:18:45.356 --> 0:18:49.396
<v Speaker 1>But I digress back to Chalfin and the question at hand.

0:18:49.956 --> 0:18:52.156
<v Speaker 4>And so you know, it does give you the sense

0:18:52.236 --> 0:18:54.636
<v Speaker 4>that making loss and loss of these stops was not

0:18:54.756 --> 0:18:55.596
<v Speaker 4>the key ingredient.

0:18:55.876 --> 0:18:59.796
<v Speaker 1>It does, doesn't it. We conducted a natural experiment and

0:18:59.836 --> 0:19:04.956
<v Speaker 1>the results are in. It wasn't broken windows, it wasn't

0:19:05.596 --> 0:19:06.396
<v Speaker 1>stop and frisk.

0:19:07.356 --> 0:19:10.716
<v Speaker 5>My administration will issue hundreds of millions of dollars in

0:19:10.796 --> 0:19:14.356
<v Speaker 5>federal grants to reward cities and towns and return to

0:19:14.516 --> 0:19:18.956
<v Speaker 5>proven crime fighting methods, including stop and frisk and broken

0:19:19.036 --> 0:19:22.876
<v Speaker 5>windows policing. We did that with Rudy Giuliani was so successful.

0:19:24.156 --> 0:19:27.316
<v Speaker 1>At three o'clock in the morning. Sometimes I lie awake

0:19:27.356 --> 0:19:30.876
<v Speaker 1>and I think, oh God, did he read The Tipping

0:19:30.876 --> 0:19:49.716
<v Speaker 1>Point too. I don't reread any of my books once

0:19:49.756 --> 0:19:53.076
<v Speaker 1>I've written them, particularly ones from twenty five years ago,

0:19:53.276 --> 0:19:56.396
<v Speaker 1>like the Tipping Point. I mean, why would I do?

0:19:56.476 --> 0:19:57.876
<v Speaker 1>I want to wear the clothes I wore in the

0:19:57.956 --> 0:20:00.876
<v Speaker 1>year two thousand, No, I don't do I even want

0:20:00.876 --> 0:20:05.476
<v Speaker 1>to see pictures of myself from two thousand, not particularly so.

0:20:05.596 --> 0:20:08.236
<v Speaker 1>I didn't reread The Tipping Point until I made the

0:20:08.236 --> 0:20:12.196
<v Speaker 1>decision last year to revisit my first book on its

0:20:12.276 --> 0:20:16.556
<v Speaker 1>silver anniversary. There were parts that I love. It felt

0:20:16.556 --> 0:20:20.916
<v Speaker 1>like rediscovering some lost friend, Hush Puppies, Six Degrees of

0:20:20.956 --> 0:20:24.956
<v Speaker 1>Lois Weisberg, Paul Revere's Ride. There are also parts that

0:20:25.076 --> 0:20:28.596
<v Speaker 1>mystified me. Did I really write an entire chapter on

0:20:28.636 --> 0:20:33.356
<v Speaker 1>the children's TV show Blues Clues? But the crime chapter

0:20:33.796 --> 0:20:36.436
<v Speaker 1>was the only place where I said I would write

0:20:36.436 --> 0:20:41.916
<v Speaker 1>that so differently today Today, if I were rewriting, I'd

0:20:41.916 --> 0:20:44.956
<v Speaker 1>begin with the work of a sociologist in Chicago named

0:20:45.036 --> 0:20:46.316
<v Speaker 1>Andrew Papachristos.

0:20:46.876 --> 0:20:50.156
<v Speaker 7>People talk about gun violence as an epidemic or disease,

0:20:50.196 --> 0:20:52.516
<v Speaker 7>and it is in many fronts, but really I wanted

0:20:52.516 --> 0:20:54.756
<v Speaker 7>to take it seriously, like, ohay, if it's an epidemic,

0:20:55.556 --> 0:20:58.236
<v Speaker 7>is it a bloodborne pathogen or is it an airborne pathogen?

0:20:58.276 --> 0:21:01.356
<v Speaker 7>And actually, thank God, it's not an airborne pathogen.

0:21:01.596 --> 0:21:01.756
<v Speaker 5>Right.

0:21:01.836 --> 0:21:03.876
<v Speaker 7>You don't catch a bullet like you catch a cold.

0:21:04.196 --> 0:21:06.916
<v Speaker 7>It's actually transmitted through behaviors. And I just try to

0:21:06.916 --> 0:21:10.476
<v Speaker 7>figure out ways that science might kind of boost or

0:21:10.516 --> 0:21:11.956
<v Speaker 7>amplify those insights.

0:21:12.196 --> 0:21:15.396
<v Speaker 1>Papa Cristos took every single arrest over more than six

0:21:15.476 --> 0:21:19.796
<v Speaker 1>years in Chicago, so hundreds of thousands of arrests, and

0:21:19.836 --> 0:21:22.076
<v Speaker 1>he made something called a network map.

0:21:22.396 --> 0:21:24.436
<v Speaker 7>All right, first you see it happens in groups, and

0:21:24.476 --> 0:21:27.516
<v Speaker 7>then like, okay, what about individuals? All right, well does

0:21:27.556 --> 0:21:30.396
<v Speaker 7>it concentrate? What about exposure? What about time?

0:21:33.036 --> 0:21:36.276
<v Speaker 1>So if Andy and Malcolm are arrested together for shooting someone,

0:21:36.756 --> 0:21:38.956
<v Speaker 1>then Andy and Malcolm are two dots on the map,

0:21:39.236 --> 0:21:42.476
<v Speaker 1>connected by a line. And if Malcolm then is arrested

0:21:42.516 --> 0:21:46.836
<v Speaker 1>with Joe as a line connecting Malcolm to Joe, Malcolm

0:21:46.836 --> 0:21:50.276
<v Speaker 1>and Joe are one degree, or, to use Papa Cristos's

0:21:50.276 --> 0:21:55.476
<v Speaker 1>favorite term, one handshake apart, Joe and Andy two handshakes apart.

0:21:56.156 --> 0:21:59.436
<v Speaker 1>You do that for years and years of Chicago arrest data,

0:21:59.516 --> 0:22:01.956
<v Speaker 1>and you get a truly enormous map.

0:22:02.596 --> 0:22:07.676
<v Speaker 7>You have this very very large network, right, and then

0:22:07.676 --> 0:22:10.716
<v Speaker 7>what you do is you sprinkle in the victimizations, which

0:22:10.756 --> 0:22:14.276
<v Speaker 7>come from a separate source of data, right. They come

0:22:14.316 --> 0:22:17.676
<v Speaker 7>from homicide records, they come from shooting files, police public health.

0:22:17.836 --> 0:22:20.076
<v Speaker 1>He took the names of everyone who had been shot

0:22:20.156 --> 0:22:23.476
<v Speaker 1>over the same period, and look to see how many

0:22:23.556 --> 0:22:26.996
<v Speaker 1>of those names were in his network map. And what

0:22:27.076 --> 0:22:31.516
<v Speaker 1>he found was the victims were already there, and they

0:22:31.556 --> 0:22:32.636
<v Speaker 1>were clustered together.

0:22:33.476 --> 0:22:37.156
<v Speaker 7>You just matched the data, and every place where there's

0:22:37.196 --> 0:22:41.076
<v Speaker 7>a shooting, the victims bright red, for example. And then

0:22:41.076 --> 0:22:46.316
<v Speaker 7>what you see is that these bright red dots all

0:22:46.396 --> 0:22:49.876
<v Speaker 7>lingered together. I'll clump together, right like your kid took

0:22:49.876 --> 0:22:52.316
<v Speaker 7>a handful of Christmas ornaments and like threw to the tree,

0:22:52.316 --> 0:22:53.516
<v Speaker 7>and they're all on one spot.

0:22:53.916 --> 0:22:57.036
<v Speaker 1>It looks just like the social maps epidemil just used

0:22:57.076 --> 0:22:59.676
<v Speaker 1>to construct for the spread of HIV in the nineteen eighties.

0:23:00.196 --> 0:23:03.236
<v Speaker 1>If someone in your social circle got infected with HIV,

0:23:03.756 --> 0:23:07.876
<v Speaker 1>then your chances of becoming infected with HIV increased. In

0:23:07.916 --> 0:23:12.196
<v Speaker 1>Papa Cristo's maps, the risk of contagion extended three degrees.

0:23:12.796 --> 0:23:15.636
<v Speaker 1>If Malcolm gets shot, Andy is at risk, and so

0:23:15.796 --> 0:23:18.276
<v Speaker 1>is Joe, and so are any people Andy and Joe

0:23:18.356 --> 0:23:19.116
<v Speaker 1>were arrested with.

0:23:19.756 --> 0:23:24.396
<v Speaker 7>Like other social networks, the impact of these shootings tends

0:23:24.436 --> 0:23:27.676
<v Speaker 7>to go about two or three handshakes and then it

0:23:27.716 --> 0:23:30.036
<v Speaker 7>starts to kind of drop off. So these clusters are

0:23:30.076 --> 0:23:32.756
<v Speaker 7>fairly dense, and they stick around.

0:23:32.876 --> 0:23:35.236
<v Speaker 1>So hold on, this is this is crucial. So I've

0:23:35.276 --> 0:23:40.236
<v Speaker 1>got my I've got my social network map, and I'm overlaying.

0:23:40.796 --> 0:23:44.196
<v Speaker 1>I'm sticking in all of the shootings into the and

0:23:44.236 --> 0:23:48.796
<v Speaker 1>I've noticed that the shootings are clustering. So we have

0:23:48.956 --> 0:23:57.876
<v Speaker 1>this triangle of Joe, Andy, Malcolm, and Malcolm gets shot.

0:23:59.436 --> 0:24:03.396
<v Speaker 1>And so once we observe that Malcolm gets shot, what

0:24:03.436 --> 0:24:06.876
<v Speaker 1>you're saying is that the likelihood of someone in my

0:24:07.156 --> 0:24:10.116
<v Speaker 1>someone connected to me also gets shot.

0:24:10.196 --> 0:24:13.156
<v Speaker 7>Increases skyrockets absolutely.

0:24:13.476 --> 0:24:17.356
<v Speaker 1>And you're saying that the connection the risk is skyrocketing.

0:24:17.396 --> 0:24:20.276
<v Speaker 1>Within between one and three.

0:24:21.276 --> 0:24:25.556
<v Speaker 7>Degrees, that's the where risk is the highest. Yeah, once

0:24:25.596 --> 0:24:28.476
<v Speaker 7>you get past kind of three degrees, it really levels.

0:24:28.596 --> 0:24:29.676
<v Speaker 7>It goes down and levels.

0:24:30.236 --> 0:24:32.396
<v Speaker 1>When do you observe this? Did this surprise you?

0:24:32.796 --> 0:24:34.756
<v Speaker 4>How concentrated it was surprised me.

0:24:35.596 --> 0:24:38.316
<v Speaker 7>You know, when you look at these numbers, even when

0:24:38.316 --> 0:24:40.836
<v Speaker 7>you look at the larger co funding network, you're talking

0:24:40.876 --> 0:24:45.196
<v Speaker 7>about five to six percent of a neighborhood's population. But

0:24:45.276 --> 0:24:47.996
<v Speaker 7>when you start looking at where the violence concentrates, it's

0:24:48.076 --> 0:24:51.356
<v Speaker 7>less than it's less than a percent. You're talking about,

0:24:51.516 --> 0:24:52.996
<v Speaker 7>you know, on the West Side of Chicago, one of

0:24:52.996 --> 0:24:55.276
<v Speaker 7>the neighborhoods we were working, it's about fifty thousand people.

0:24:55.276 --> 0:24:58.956
<v Speaker 7>You're talking about four hundred individuals.

0:24:59.516 --> 0:25:03.476
<v Speaker 1>Four hundred individuals on the entire West Side of Chicago.

0:25:04.276 --> 0:25:07.316
<v Speaker 1>The crime problem on the West Side of Chicago isn't

0:25:07.316 --> 0:25:11.116
<v Speaker 1>being driven by everyone. It's being driven by a tiny

0:25:11.156 --> 0:25:15.236
<v Speaker 1>subset of people within a dense social network where someone

0:25:15.436 --> 0:25:18.436
<v Speaker 1>close to them has already been a victim of gun violence.

0:25:19.316 --> 0:25:22.076
<v Speaker 1>The West Side of Chicago is not a dangerous place.

0:25:22.716 --> 0:25:26.356
<v Speaker 1>Highly specific networks of people within the West Side of

0:25:26.436 --> 0:25:30.796
<v Speaker 1>Chicago are dangerous places. The same pattern holds true in

0:25:30.836 --> 0:25:34.116
<v Speaker 1>New York City. Why wasn't stop and frisk an effective

0:25:34.156 --> 0:25:37.596
<v Speaker 1>strategy in the end, because it assumed that violent crime

0:25:37.956 --> 0:25:42.276
<v Speaker 1>was something embedded within an entire community, and it's not.

0:25:42.996 --> 0:25:46.756
<v Speaker 1>Even the NYPD's own numbers said so. In one eight

0:25:46.796 --> 0:25:50.756
<v Speaker 1>year span, New York City police officers frisked two point

0:25:50.876 --> 0:25:55.996
<v Speaker 1>three million people and found weapons in one point five

0:25:55.996 --> 0:26:01.236
<v Speaker 1>percent of those stops. They were looking for needles in haystacks.

0:26:01.676 --> 0:26:06.316
<v Speaker 1>Why would that be an effective crime fighting strategy. Aaron Chaufin,

0:26:06.476 --> 0:26:09.436
<v Speaker 1>the criminologist, says that one of the main reasons crime

0:26:09.476 --> 0:26:12.756
<v Speaker 1>fell so dramatically in New York after Stop and Frisk ended,

0:26:13.116 --> 0:26:16.236
<v Speaker 1>was that the NYPD took those lessons to heart. They

0:26:16.276 --> 0:26:19.796
<v Speaker 1>switched from the kind of indiscriminate policing found in Stop

0:26:19.836 --> 0:26:25.116
<v Speaker 1>and Frisk to precision policing. They started focusing on hotspots,

0:26:25.636 --> 0:26:29.916
<v Speaker 1>deploying police to the specific places where crime was the worst.

0:26:30.116 --> 0:26:34.236
<v Speaker 4>More targeted investigations, more thinking about who are the shooters,

0:26:34.596 --> 0:26:36.956
<v Speaker 4>who are the major players in neighborhoods that are driving

0:26:36.996 --> 0:26:39.796
<v Speaker 4>the shootings, What can we do to identify those people

0:26:39.836 --> 0:26:43.556
<v Speaker 4>incapacitate those people. So when we think about good policing,

0:26:43.636 --> 0:26:46.956
<v Speaker 4>and we think in particular about homicide, it's a very

0:26:47.036 --> 0:26:49.236
<v Speaker 4>small number of people who drive the problem. It's a

0:26:49.236 --> 0:26:51.476
<v Speaker 4>couple thousand people in a city of eight and a

0:26:51.516 --> 0:26:55.876
<v Speaker 4>half million, And you know, making loss of low level rests,

0:26:56.476 --> 0:26:58.956
<v Speaker 4>maybe you'll find some more guns and things like that,

0:26:59.316 --> 0:27:02.916
<v Speaker 4>but it's probably a much better use of resources to focus, focus, focus,

0:27:02.956 --> 0:27:06.476
<v Speaker 4>focus on the drivers of violence. And when you do that.

0:27:07.036 --> 0:27:10.556
<v Speaker 4>In my paper, we find that when there's a major

0:27:10.596 --> 0:27:13.476
<v Speaker 4>gang takedown around a public housing development, in the next

0:27:13.516 --> 0:27:16.276
<v Speaker 4>eighteen months, homicides are down by about thirty percent.

0:27:16.796 --> 0:27:21.636
<v Speaker 1>Thirty percent. Fighting an epidemic means focusing on the few,

0:27:22.516 --> 0:27:25.436
<v Speaker 1>not the many, and by the way, who made this

0:27:25.676 --> 0:27:29.796
<v Speaker 1>argument as loudly as anyone I did. In the Tipping Point,

0:27:29.996 --> 0:27:31.956
<v Speaker 1>I called it the law the Few, and it took

0:27:32.036 --> 0:27:35.556
<v Speaker 1>up a third of the book. When it comes to epidemics,

0:27:35.636 --> 0:27:38.916
<v Speaker 1>I wrote, a tiny percentage of people do the majority

0:27:38.916 --> 0:27:42.236
<v Speaker 1>of the work. I talked about how this principle plays

0:27:42.236 --> 0:27:45.556
<v Speaker 1>out in outbreaks of infectious disease, in the spread of

0:27:45.636 --> 0:27:48.756
<v Speaker 1>fashion trends in word of mouth. I described in great

0:27:48.796 --> 0:27:51.556
<v Speaker 1>detail the kinds of people who make those special few,

0:27:51.876 --> 0:27:55.836
<v Speaker 1>on and on. But then when it came to crime,

0:27:56.356 --> 0:27:58.636
<v Speaker 1>I suddenly forgot all about the law of the few

0:27:59.236 --> 0:28:01.596
<v Speaker 1>and endorsed an idea that's that a really good way

0:28:01.636 --> 0:28:04.516
<v Speaker 1>to control an epidemic was to stop and frisk one

0:28:04.596 --> 0:28:07.116
<v Speaker 1>hundred young men in the hopes of finding a gun

0:28:07.556 --> 0:28:19.356
<v Speaker 1>on one of them. I was wrong. I'm sorry, So.

0:28:19.796 --> 0:28:20.076
<v Speaker 9>I don't know.

0:28:20.076 --> 0:28:22.316
<v Speaker 1>I Feelfred asked us any questions. There's one more thing

0:28:22.316 --> 0:28:24.716
<v Speaker 1>I would do if I were rewriting the crime chapter.

0:28:25.276 --> 0:28:27.956
<v Speaker 1>I would talk about Philadelphia and about a day I

0:28:27.956 --> 0:28:30.516
<v Speaker 1>spent recently driving around the city with a guy named

0:28:30.556 --> 0:28:32.756
<v Speaker 1>Keith Green. So where are we headed?

0:28:33.076 --> 0:28:37.396
<v Speaker 3>So we're going to be driving in like the West

0:28:37.676 --> 0:28:38.916
<v Speaker 3>Philadelphia area.

0:28:38.996 --> 0:28:42.636
<v Speaker 1>Green works for the Pennsylvania Horticultural Society, a group that

0:28:42.756 --> 0:28:45.516
<v Speaker 1>was founded in eighteen twenty seven and is best known

0:28:45.516 --> 0:28:48.876
<v Speaker 1>for putting on the world's largest indoor flower show. And

0:28:48.956 --> 0:28:52.796
<v Speaker 1>for two hours we talked about vacant lots thirty thousand.

0:28:52.916 --> 0:28:55.716
<v Speaker 3>Yeah, because over thirty thousand the portions in the city

0:28:55.756 --> 0:28:56.196
<v Speaker 3>of the world.

0:28:56.476 --> 0:28:59.436
<v Speaker 1>Yeah, there were blocks we drove past that had two

0:28:59.556 --> 0:29:02.636
<v Speaker 1>or even three vacant lots. Every block seemed to have

0:29:02.676 --> 0:29:05.836
<v Speaker 1>at least one. In the past, they were overgrown with weeds,

0:29:06.196 --> 0:29:09.756
<v Speaker 1>covered in trash, home to rats and raccoons and pod

0:29:09.996 --> 0:29:13.236
<v Speaker 1>And what Green's group has done is to systematically work

0:29:13.356 --> 0:29:17.076
<v Speaker 1>its way through the city, cleaning up the lots, planting grass,

0:29:17.316 --> 0:29:18.996
<v Speaker 1>putting up low fences.

0:29:18.996 --> 0:29:23.316
<v Speaker 3>And we started seeing a dramatic change. Lots were being maintained.

0:29:24.356 --> 0:29:26.716
<v Speaker 3>People starting people started using their lots.

0:29:26.796 --> 0:29:29.476
<v Speaker 1>And when you see people started using the how are

0:29:29.516 --> 0:29:29.996
<v Speaker 1>they used to.

0:29:31.196 --> 0:29:36.796
<v Speaker 3>Well, people with kids were playing football, people would have

0:29:36.796 --> 0:29:41.476
<v Speaker 3>having barbecues on the sites, horses or raising on vacant

0:29:41.516 --> 0:29:43.356
<v Speaker 3>lots horses.

0:29:43.956 --> 0:29:47.116
<v Speaker 1>In the history of the program, they've cleaned up seventeen

0:29:47.396 --> 0:29:51.636
<v Speaker 1>thousand loots. Charles Brannis, the pioneer of the work. Let

0:29:51.716 --> 0:29:53.996
<v Speaker 1>us study to see if cleaning up vacant lots lowered

0:29:53.996 --> 0:29:57.156
<v Speaker 1>the homicide rate. When you fixed up a neighborhood, what

0:29:57.276 --> 0:30:02.756
<v Speaker 1>happened to gun violence? It went down twenty nine percent. Now,

0:30:02.876 --> 0:30:05.236
<v Speaker 1>what's the best way to describe this kind of anti

0:30:05.236 --> 0:30:10.116
<v Speaker 1>crime intervention. It's broken windows only. Not broken windows as

0:30:10.156 --> 0:30:13.316
<v Speaker 1>a grand metaphor, as a hysterical leap that sees a

0:30:13.316 --> 0:30:15.996
<v Speaker 1>man urinating on a sidewalk and says we have no

0:30:16.116 --> 0:30:20.116
<v Speaker 1>choice but to lock him up. No, broken windows has

0:30:20.156 --> 0:30:24.116
<v Speaker 1>a literal call to action. You see the lot full

0:30:24.156 --> 0:30:26.916
<v Speaker 1>of weeds and trash, and you pick up the garbage

0:30:27.156 --> 0:30:30.796
<v Speaker 1>and mow the grass and put a fence out front.

0:30:43.236 --> 0:30:45.796
<v Speaker 1>Region's history is produced by Nina Bird Lawrence with ben

0:30:45.836 --> 0:30:50.476
<v Speaker 1>at Af Haffrey and Lucy Sullivan. Our editor is Karen Schakerji.

0:30:50.916 --> 0:30:54.756
<v Speaker 1>Fact checking by Sam Russick, Original scoring by Luis Kerra,

0:30:55.196 --> 0:30:58.996
<v Speaker 1>mastering by Echo Mountain, Engineering by Sarah Bruger and Nina

0:30:58.996 --> 0:31:04.636
<v Speaker 1>Bird Lawrence. Production support from Luke LeMond. Our Executive producer

0:31:04.996 --> 0:31:10.276
<v Speaker 1>is Jacob Smith. Special thanks to Sarah Nix Always hell

0:31:10.356 --> 0:31:15.076
<v Speaker 1>Hafe Gota Come, I'm Malcolm Glappa.