WEBVTT - Understanding Hate Crime Laws

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<v Speaker 1>Pushkin from Pushkin Industries. This is Deep Background, the show

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<v Speaker 1>where we explore the stories behind the stories in the news.

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<v Speaker 1>I'm Noah Feldman. Several weeks ago, the nation was shocked

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<v Speaker 1>and horrified to hear about shootings in Atlanta, Georgia, where

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<v Speaker 1>twenty one year old man went to three day spas

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<v Speaker 1>or massage parlors and killed eight people. Six of the

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<v Speaker 1>victims were of Asian origin, and many people are wondering

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<v Speaker 1>if and whether the gunmen will be charged with committing

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<v Speaker 1>a hate crime alongside charges of murder and aggravated assault.

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<v Speaker 1>But hate crime charges are relatively rare and they can

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<v Speaker 1>be challenging to prove in court. In twenty twenty, Georgia

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<v Speaker 1>became one of the last states in the country to

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<v Speaker 1>enact an anti hate crime That in turn raises some

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<v Speaker 1>core questions. Why are hate crimes charges so rare? How

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<v Speaker 1>should and do the police actually investigate and prosecute hate crime?

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<v Speaker 1>What should we do when there are many hate crimes

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<v Speaker 1>that may evade the legal criteria despite appearing on the

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<v Speaker 1>surface and maybe beneath to be racially motivated. All of

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<v Speaker 1>these are questions that connect to the theme of power,

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<v Speaker 1>which is our central theme this year On Deep Background,

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<v Speaker 1>they raise the question of the state's power to react

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<v Speaker 1>to racial and other forms of bias, and of the

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<v Speaker 1>capacity of our society more broadly, to exercise societal power

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<v Speaker 1>over and against the power of hate. Today's guest is

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<v Speaker 1>an expert on precisely these topics. Doctor Jeanine Bell is

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<v Speaker 1>professor of law at Indiana University. She's a nationally recognized

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<v Speaker 1>scholar in the area of pleasing and hate crime. She

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<v Speaker 1>wrote a book called Policing Hatred, Law Enforcement, Civil Rights

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<v Speaker 1>and Hate Crime, and ethnographic investigation of a big city

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<v Speaker 1>police hate crime unit. Today, on Deep Background, she's going

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<v Speaker 1>to talk to us about hate crimes laws, when and

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<v Speaker 1>how they came, about how they can and should be enforced,

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<v Speaker 1>and criticisms of those laws raised by some in the

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<v Speaker 1>advocacy community. Professor Bell, welcome to Deep Background. Ganine, thank

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<v Speaker 1>you so much for being here. Your topic is perennially significant,

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<v Speaker 1>and it's also very significant in the present moment. What

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<v Speaker 1>drew you to this particular subject of expertise and study.

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<v Speaker 1>It's it's importance is unquestioned, and it's more fortunate that

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<v Speaker 1>you are working on it. But what personally for you

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<v Speaker 1>made this your focus. It's interesting, you know, and this

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<v Speaker 1>has a lot to do with my current career as

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<v Speaker 1>a law professor. I was a political science graduate student.

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<v Speaker 1>It was early in nineteen nineties. I was in the

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<v Speaker 1>dentist's office and I picked up Time magazine and they

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<v Speaker 1>had a story about a black tourist visiting Disneyland, I believe,

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<v Speaker 1>who had been set on fire by some whites, and

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<v Speaker 1>they called it a hate crime. I was really surprised,

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<v Speaker 1>you know, I was familiar with acts of racist violence,

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<v Speaker 1>but I'd never heard any notion of hate crime. So

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<v Speaker 1>I decided to look into it, and I looked at

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<v Speaker 1>the literature, all of the literature about this term hate crime.

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<v Speaker 1>It was right between rav in Wisconsin versus Mitchell and

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<v Speaker 1>all of the legal literature. You know, law professor's writings said, Oh,

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<v Speaker 1>this silly. Nobody knows what a hate crime is. You

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<v Speaker 1>can never tell whether something is a hate crime or not.

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<v Speaker 1>And this is still twenty five years later, something that

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<v Speaker 1>is a huge portion of the First Amendment literature. We

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<v Speaker 1>can't figure out whether something is bias motivated. So that's

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<v Speaker 1>why I do this. I wanted to ask you just

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<v Speaker 1>to begin by giving us your working definition of what

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<v Speaker 1>counts as a hate crime or a bias crime from

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<v Speaker 1>your perspective, Okay, hate crimes are crimes motivated by bias

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<v Speaker 1>on the basis of race, religion, sexual orientation, gender, gender identity.

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<v Speaker 1>The precise categories, and it's important that you understand that

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<v Speaker 1>they are categories, not groups. The precise categories vary by stack. Shoot,

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<v Speaker 1>whatever hate crime statute you're looking at, it's mostly federal

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<v Speaker 1>in state, and there are some states, like the state

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<v Speaker 1>I'm in right now, Indiana, that prevent localities from enacting

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<v Speaker 1>their own legislation in the context of criminal law. So

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<v Speaker 1>even if we wish to, and I think that my

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<v Speaker 1>particular city would probably wish to, particularly for the number

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<v Speaker 1>of years that we did not have hate crime legislation,

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<v Speaker 1>enact something, they cannot. They are forbidden by the legislature

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<v Speaker 1>from doing something like that. When did federal or state

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<v Speaker 1>governments start enacting laws that specifically punish hate crimes. In

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<v Speaker 1>the nineteen nineties, most of the statutes were passed. This

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<v Speaker 1>happened after the creation of the nineteen Hate Crime Statistics SECTS,

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<v Speaker 1>which was a federal piece of legislation, So mostly in

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<v Speaker 1>the nineteen nineties before that time, only Connecticut had biased

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<v Speaker 1>crime legislation, and had Connecticut had it for a long time,

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<v Speaker 1>or was it relatively new there as well, mid nineteen eighties.

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<v Speaker 1>So these are all relatively recent in grand historical terms,

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<v Speaker 1>although I guess there's now thirty years, almost thirty years

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<v Speaker 1>of experience with a lot of them. Both yes and no,

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<v Speaker 1>they're similar. Some of them are similar to federal civil

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<v Speaker 1>rights legislation that we've had, you know, for one hundred

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<v Speaker 1>years or so, similar in what sense, similar in targeting

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<v Speaker 1>a particular type of terrorism bias motivated violence, and civil

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<v Speaker 1>rights acts targets motivated violence, but without the categories. The

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<v Speaker 1>innovation of hate crime is the adding in of the

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<v Speaker 1>categories bias on the basis of race, religions, orientation, ethnicity, etc.

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<v Speaker 1>Whereas the Civil Rights Statute said that it's a crime

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<v Speaker 1>to interfere with a person's exercise of his or her

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<v Speaker 1>civil rights, and it just so happened that many people

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<v Speaker 1>who are committing such crimes are doing so on the

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<v Speaker 1>basis of race, or exactly precisely, that is precisely the issue.

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<v Speaker 1>I have a lot of, you know, in the weeds

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<v Speaker 1>questions which will come to it a second but I

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<v Speaker 1>wanted to ask you if at the biggest level, you

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<v Speaker 1>had to say, how successful has this body of legislation been?

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<v Speaker 1>And this is the body of legislation that I think

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<v Speaker 1>you've studied as deeply as anyone living. What's the measure

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<v Speaker 1>of whether laws like this are doing their job? And

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<v Speaker 1>then by whatever measure that is, are they doing their job?

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<v Speaker 1>That's a hard question. It's hard first because this is

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<v Speaker 1>violence that goes largely unpunished, but for the existence of

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<v Speaker 1>these particular killer pieces of legislation. Take cross burning, for instance,

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<v Speaker 1>if someone burns across on my lawn, then there are

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<v Speaker 1>very few criminal statutes that you can use to prosecute them.

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<v Speaker 1>For arson, for example, you need a burned spot, right,

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<v Speaker 1>and a lot of times when someone burns across there

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<v Speaker 1>isn't a burned spot. And there was a famous case

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<v Speaker 1>that I'm sure you have heard of in which the

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<v Speaker 1>perpetrators burned across r A V burned across on the

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<v Speaker 1>lawn of the black family that it integrated the neighborhoods.

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<v Speaker 1>It was actually part of a reign of terror that

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<v Speaker 1>these white supremacists had directed at the family. They'd done

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<v Speaker 1>other things, but they eventually burned across on the lawn

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<v Speaker 1>of the family Middle and ninth, and the prosecutor chose

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<v Speaker 1>to use a hate crime statute because there wasn't really

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<v Speaker 1>much else that wasn't a felony. The adult involved had

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<v Speaker 1>pled to misdemeanors, so they didn't want to charge the

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<v Speaker 1>juvenile involved with a felony, so they chose this hate

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<v Speaker 1>crime statute because there isn't much else you can use

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<v Speaker 1>for cross burning. And is that a typical situation. I mean,

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<v Speaker 1>that's fascinating what you're telling me, because it runs sort

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<v Speaker 1>of counter to my own intuition, which obviously was wrong.

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<v Speaker 1>I mean, my intuition was something like, if it is

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<v Speaker 1>under these statutes, for example, a crime to beat someone

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<v Speaker 1>up on the basis of racial bias, then you could

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<v Speaker 1>charge them already with the beating them beating the person up,

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<v Speaker 1>and then you could a ad and enhanced the sentence

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<v Speaker 1>and add a separate crime the for the bias motivations.

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<v Speaker 1>That was my intuition. But what I hear you saying

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<v Speaker 1>is maybe that intuition is backwards. All right, You've zeroed

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<v Speaker 1>in on something important, but you're still not quite correct.

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<v Speaker 1>Cross burning is unusual in the context of hate crime

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<v Speaker 1>and the sort of lack of overlap with the regular

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<v Speaker 1>criminal law. What about assault bias motivated assault? Assuming it

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<v Speaker 1>is a low level crime, right, meaning I'm not seriously injured.

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<v Speaker 1>The perpetrator beats me up terribly, but you know, I'm

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<v Speaker 1>not really seriously I mean, it's not life threatening, and

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<v Speaker 1>it falls into the category of low level assault. You

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<v Speaker 1>have a couple of problems with that. The first is

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<v Speaker 1>low level crimes are largely not investigated by the police.

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<v Speaker 1>They just don't. Criminologists estimate that nearly eighty percent of

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<v Speaker 1>low level crimes are not investigated by the police. It

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<v Speaker 1>doesn't really matter that this is an assault that targets

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<v Speaker 1>me because of my background. It's still a low level sault,

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<v Speaker 1>and this is not a priority for law enforcement officers.

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<v Speaker 1>So I've just been terrorized and the police are not

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<v Speaker 1>even going to try to figure out who did it,

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<v Speaker 1>let alone try to catch the perpetrator. So I have

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<v Speaker 1>been terrorized, and that same perpetrator could victimize somebody else

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<v Speaker 1>and I could certainly could be victimized again. So one

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<v Speaker 1>of the things that hate crime laws do is they

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<v Speaker 1>create an incentive for law enforcement officers to investigate times

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<v Speaker 1>that they would not. I call that a success because

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<v Speaker 1>we as society have said that these crimes are more damaging,

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<v Speaker 1>so they should be investigated. Help me fill in how

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<v Speaker 1>proof gets constructed by the police and argued by the

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<v Speaker 1>prosecutors and considered by the jury in cases where it's

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<v Speaker 1>not flatly obvious on the surface. So maybe we could

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<v Speaker 1>take as an example the Atlanta shootings that are fresh

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<v Speaker 1>in our minds, where a disproportioned number of the victims

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<v Speaker 1>were Asian American and that immediately led to a national

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<v Speaker 1>discussion about bias and hate against Asian Americans, but in

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<v Speaker 1>which it's also conceivable that the shooters motives were not

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<v Speaker 1>tagged specifically to the ethnic or racial characteristics of the victims,

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<v Speaker 1>which is not to say that they weren't, just to

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<v Speaker 1>say that it seems conceive that there's another explanation. How

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<v Speaker 1>would we go about figuring out the way the system

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<v Speaker 1>would determine whether those crimes, which were crimes of murder

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<v Speaker 1>and we're serious crimes and will be taken seriously in

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<v Speaker 1>terms of identification and enforcement, whether that is in addition

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<v Speaker 1>a bias crime that should be charged as such. Well,

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<v Speaker 1>I'm glad you brought up that case, in particular, if

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<v Speaker 1>that case had been investigated by police officers who knew

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<v Speaker 1>really anything about a hate crime, they say, all right,

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<v Speaker 1>so there's a disproportionate racial group of individuals who may

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<v Speaker 1>have been targeted because of bias. So what do we

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<v Speaker 1>need to do. Well, we need to interview survivors. Let's

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<v Speaker 1>interview survivors about what happened during the crime. The individuals

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<v Speaker 1>who are survivors, their native language was not English. So

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<v Speaker 1>you send in individuals who speak to the grieving survivors,

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<v Speaker 1>grieving and traumatize survivors in their language, right, and you

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<v Speaker 1>gather all the evidence of what happened during the crime.

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<v Speaker 1>So if you look at the for instance, Korean language press,

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<v Speaker 1>which actually did this, unlike law enforcement officers, they have

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<v Speaker 1>a different story to tell about what happened. When the

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<v Speaker 1>perpetrator came to the establishments, perpetrator said things like, and

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<v Speaker 1>you can see this in the press. They said the

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<v Speaker 1>perpetrator was there to kill all Asians. That's evidence of motivation. Right.

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<v Speaker 1>You don't just interview the perpetrator and ask so why'd

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<v Speaker 1>you do this? That's proper hate crime investigation. So you

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<v Speaker 1>look in every location for evidence of motivation, just as

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<v Speaker 1>you might any other crime. Murder for hire, for instance,

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<v Speaker 1>you don't just act ask the perpetrator so, hey, anybody

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<v Speaker 1>pay you to do this, We'll be right back. So

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<v Speaker 1>interviewing survivors, doing so in a culturally and linguistically sensitive

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<v Speaker 1>way is a crucial element. What else should what else

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<v Speaker 1>is best practices for law enforcement to try to gather motive?

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<v Speaker 1>I mean, is profiling a perpetrator, not by interviewing the perpetrator,

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<v Speaker 1>but by talking to people a meaningful undertaking or is

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<v Speaker 1>that more misleading than anything else? It's likely misleading, but

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<v Speaker 1>you do talk to the perpetrators and moreover, one of

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<v Speaker 1>the things that I think the literature is often really

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<v Speaker 1>confused about is how secretive perpetrators are about their motives.

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<v Speaker 1>In these cases. These are often individuals who have an

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<v Speaker 1>ideological commitment to committing the crime. It's not as if

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<v Speaker 1>they want to hide they're bias. And this is something

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<v Speaker 1>that I explored with police when I was writing my

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<v Speaker 1>first book, because I said, so, do you have all

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<v Speaker 1>these perpetrators who you know, don't want to tell you

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<v Speaker 1>that they were biased? And the law enforcement office of no,

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<v Speaker 1>of course not. They're people who are biased, so they

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<v Speaker 1>don't hide it. What's the right way to think about

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<v Speaker 1>it where a perpetrator has let's call them mixed motives,

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<v Speaker 1>and where a prosecutor would have to try to, I guess,

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<v Speaker 1>impose a logic on them for purposes of convincing a

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<v Speaker 1>jury that might not fully be present in the thought

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<v Speaker 1>world of the person who's the perpetrator. So I mean,

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<v Speaker 1>imagine not this case, but imagine a case where you know,

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<v Speaker 1>someone is very a male perpetrator is extremely angry at

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<v Speaker 1>sex workers who are women and are also members of

0:17:42.356 --> 0:17:47.756
<v Speaker 1>a particular racial group, and goes and kills them. And

0:17:48.556 --> 0:17:51.756
<v Speaker 1>you know, where there isn't let's say, contemporaneous evidence that

0:17:51.796 --> 0:17:54.076
<v Speaker 1>he said, you know, I'm here to kill all Asians

0:17:54.116 --> 0:17:58.076
<v Speaker 1>are similar. But where you know, we could infer from

0:17:58.076 --> 0:18:01.116
<v Speaker 1>the circumstances that there seems to be some nature of

0:18:01.156 --> 0:18:05.636
<v Speaker 1>hatred against women, there seems very probably to be racial hatred.

0:18:05.796 --> 0:18:08.476
<v Speaker 1>What's the best way to think about the nature of

0:18:08.556 --> 0:18:13.596
<v Speaker 1>bias where the hate is against some class of people

0:18:13.916 --> 0:18:17.676
<v Speaker 1>that overlaps very much with one of the protected categories

0:18:17.716 --> 0:18:23.756
<v Speaker 1>in the hate crimes legislation. Because it's a legal system,

0:18:23.956 --> 0:18:28.116
<v Speaker 1>you need evidence of bias motivation, and in the mythical

0:18:29.076 --> 0:18:35.196
<v Speaker 1>case that you've created, there is not evidence of bias motivation.

0:18:35.996 --> 0:18:39.356
<v Speaker 1>That wouldn't suffice if someone says, you know, I'm really

0:18:39.396 --> 0:18:41.916
<v Speaker 1>angry at women, that's not I mean, that's not sufficient

0:18:42.796 --> 0:18:49.956
<v Speaker 1>motivated by bias? Right that crime? You know, we require particularization.

0:18:52.236 --> 0:18:58.556
<v Speaker 1>Was that act motivated by your bias? We need evidence?

0:18:58.756 --> 0:19:02.956
<v Speaker 1>And moreover, prosecutors are conservative. Of course, there are cases

0:19:03.036 --> 0:19:08.116
<v Speaker 1>that I see plenty of evidence of bias, statements by

0:19:08.196 --> 0:19:17.156
<v Speaker 1>perpetrators indicating they targeted the people because of their background,

0:19:17.356 --> 0:19:19.916
<v Speaker 1>and prosecutors says, listen, a jury's not going to like this,

0:19:20.556 --> 0:19:25.556
<v Speaker 1>and so doesn't bring charges hate crime charges. Do you

0:19:25.596 --> 0:19:29.036
<v Speaker 1>have a feeling that in general, law enforcement, including prosecutors,

0:19:29.036 --> 0:19:32.316
<v Speaker 1>are doing a reasonable job relative to what they could

0:19:32.316 --> 0:19:34.076
<v Speaker 1>be doing under the law, or do you think they're

0:19:34.676 --> 0:19:38.876
<v Speaker 1>under using the powers that the laws give them. Vastly

0:19:38.996 --> 0:19:43.636
<v Speaker 1>under using the powers that the law gives them. Many

0:19:43.716 --> 0:19:49.156
<v Speaker 1>more cases could be prosecuted as hate crime cases. Prosecutors, however,

0:19:49.236 --> 0:19:53.036
<v Speaker 1>are not the largest problem. The largest problem stems from

0:19:53.436 --> 0:19:59.436
<v Speaker 1>law enforcement. Law enforcement not presenting prosecutors with merely enough

0:19:59.476 --> 0:20:04.996
<v Speaker 1>cases because they're low level crimes that don't get investigated,

0:20:06.676 --> 0:20:10.556
<v Speaker 1>they are not reported to beliefs that it's a problem.

0:20:10.716 --> 0:20:15.676
<v Speaker 1>Eighty six point one percent of law enforcement agencies in

0:20:15.756 --> 0:20:20.876
<v Speaker 1>this country said in twenty nineteen that no hate crimes

0:20:20.876 --> 0:20:25.556
<v Speaker 1>that had occurred in their jurisdiction, and every other figure,

0:20:25.756 --> 0:20:32.196
<v Speaker 1>including victim surveys by the federal government, suggests many more

0:20:32.636 --> 0:20:38.236
<v Speaker 1>hate crimes. I'm kind of shocked by that number. Eighty

0:20:38.236 --> 0:20:43.516
<v Speaker 1>six point one percent of jurisdictions reported no hate crimes. Yeah,

0:20:43.676 --> 0:20:48.516
<v Speaker 1>sounds wildly implausible. Yeah, now, what's the solution to this

0:20:48.596 --> 0:20:51.876
<v Speaker 1>structural problem, not the reporting problem, but the under enforcement problem.

0:20:52.476 --> 0:20:58.556
<v Speaker 1>The solution is actually a solution that doesn't really involve police,

0:20:58.636 --> 0:21:06.876
<v Speaker 1>but rather citizens. You need victims advocacy organizations, say the

0:21:06.996 --> 0:21:13.036
<v Speaker 1>Game Lesbian Anti Violence Project for instance, to start believing

0:21:14.276 --> 0:21:21.996
<v Speaker 1>that police can do something and developing relationships with the police.

0:21:22.596 --> 0:21:27.396
<v Speaker 1>Places where hate crime law enforcement works best are places

0:21:27.436 --> 0:21:31.236
<v Speaker 1>that say, all right, we're going to use the resources

0:21:31.316 --> 0:21:36.196
<v Speaker 1>that we have, which include police departments, to find the perpetrator,

0:21:36.996 --> 0:21:44.956
<v Speaker 1>stop this terrorism directed at individuals, and prosecute the crimes.

0:21:45.036 --> 0:21:51.836
<v Speaker 1>So in places where I saw organize victims advocacy organizations

0:21:51.836 --> 0:21:56.196
<v Speaker 1>that call the police and said, hey, you know, we

0:21:56.276 --> 0:21:59.636
<v Speaker 1>have a person in our community who's been victimized by

0:21:59.676 --> 0:22:02.956
<v Speaker 1>hate crime, and what are you doing about it? Exactly?

0:22:04.036 --> 0:22:12.316
<v Speaker 1>Those police departments are incentivized to investigate crime, create bias units,

0:22:13.356 --> 0:22:18.676
<v Speaker 1>press prosecutors, present cases to prosecutors, because police are the

0:22:18.676 --> 0:22:24.316
<v Speaker 1>ones responsible for investigation. Prosecutors don't do this. Can I

0:22:24.356 --> 0:22:27.956
<v Speaker 1>ask you a slightly bigger picture philosophical question that I

0:22:28.036 --> 0:22:32.156
<v Speaker 1>was really puzzling over. I take it that the thrust

0:22:32.156 --> 0:22:35.756
<v Speaker 1>of your research is that the statutes are pretty good.

0:22:36.316 --> 0:22:39.716
<v Speaker 1>The challenge is really in law enforcement. As you were saying,

0:22:39.716 --> 0:22:42.396
<v Speaker 1>there might be some tools to enable advocacy groups in

0:22:42.396 --> 0:22:44.916
<v Speaker 1>civil society groups to help raise the consciousness of law

0:22:44.956 --> 0:22:48.036
<v Speaker 1>enforcement and put put some political pressure on them to

0:22:48.036 --> 0:22:52.716
<v Speaker 1>create bias units and improve enforcement. And everything that you

0:22:52.796 --> 0:22:56.476
<v Speaker 1>said makes perfect logical sense to me. Then I think

0:22:56.516 --> 0:23:01.836
<v Speaker 1>of what some of my most committed and idealistic students

0:23:02.076 --> 0:23:05.236
<v Speaker 1>in that I teach in my law school are saying

0:23:05.276 --> 0:23:07.396
<v Speaker 1>these days, and I bet that's the same as true

0:23:07.396 --> 0:23:11.436
<v Speaker 1>for some of your students. They're talking about abolition of

0:23:11.476 --> 0:23:17.596
<v Speaker 1>police departments, they're talking about abolition of prisons, and beyond

0:23:17.636 --> 0:23:23.716
<v Speaker 1>those concrete proposals, they're also expressing a deep skepticism of

0:23:23.756 --> 0:23:28.276
<v Speaker 1>the very capacity of police and law enforcement ever to

0:23:29.196 --> 0:23:34.716
<v Speaker 1>overcome systemic racial bias, and in turn, that's causing these

0:23:34.716 --> 0:23:38.716
<v Speaker 1>students to be very skeptical of criminal law as a

0:23:38.756 --> 0:23:45.036
<v Speaker 1>tool for improving equal outcomes in society. And so the

0:23:45.076 --> 0:23:49.796
<v Speaker 1>philosophical question is, how do you relate to these movements

0:23:50.036 --> 0:23:53.796
<v Speaker 1>with respect to your own research project, which has been

0:23:53.836 --> 0:23:58.516
<v Speaker 1>so focused on facilitating the police doing a better job

0:23:58.556 --> 0:24:02.116
<v Speaker 1>than they are doing. So again, not that you're giving them,

0:24:02.196 --> 0:24:04.516
<v Speaker 1>giving the police some free paths. To the contrary, you're

0:24:04.556 --> 0:24:06.396
<v Speaker 1>calling on them to do their jobs. But if they

0:24:06.396 --> 0:24:08.996
<v Speaker 1>were to do their jobs, it would mean more law enforcement,

0:24:09.476 --> 0:24:14.956
<v Speaker 1>more criminal laws, and potentially more prison sentences. All right,

0:24:15.476 --> 0:24:21.156
<v Speaker 1>So do you think Dylan Roof should be walking around?

0:24:21.716 --> 0:24:25.716
<v Speaker 1>Dylan Roof is the young man who went to the

0:24:25.836 --> 0:24:33.516
<v Speaker 1>church in Charleston, South Carolina and killed I believe nine

0:24:34.396 --> 0:24:40.116
<v Speaker 1>people at a Bible study African Americans, all of them

0:24:41.116 --> 0:24:45.716
<v Speaker 1>praying or praying and study Bible. So I certainly do not.

0:24:45.956 --> 0:24:50.116
<v Speaker 1>But I'm also not a part of the abolition movement.

0:24:50.716 --> 0:24:54.116
<v Speaker 1>So there's a role then for police here, and that's

0:24:54.276 --> 0:25:00.876
<v Speaker 1>the first mistake that those abolitionists make, right, we have

0:25:00.916 --> 0:25:05.356
<v Speaker 1>a role for they want law enforcement all they do,

0:25:05.476 --> 0:25:10.956
<v Speaker 1>and they want law enforcement in this contact right very

0:25:10.996 --> 0:25:17.276
<v Speaker 1>clearly a hate crime. Law enforcement is the reason Dylan

0:25:17.356 --> 0:25:23.356
<v Speaker 1>Roof is not walking around. I think that you can

0:25:23.476 --> 0:25:31.196
<v Speaker 1>extrapolate Dylan Roof to the person the kid who decides

0:25:31.356 --> 0:25:38.236
<v Speaker 1>they want to leave racist flyers on my lawn or

0:25:38.356 --> 0:25:44.156
<v Speaker 1>burn across on my lawn, scrawl something on my garage door.

0:25:45.316 --> 0:25:49.796
<v Speaker 1>I think that there's a role for law enforcement to

0:25:50.556 --> 0:25:56.076
<v Speaker 1>be involved in that. And to the concern about, well,

0:25:56.076 --> 0:26:00.036
<v Speaker 1>we can't trust law enforcement to do this, I've seen

0:26:00.156 --> 0:26:05.116
<v Speaker 1>law enforcement do this, and if we properly incentivize law

0:26:05.236 --> 0:26:10.756
<v Speaker 1>enforcement and provide them this sport they need to do this,

0:26:11.516 --> 0:26:17.836
<v Speaker 1>they can actually be quite good victim advocates. So I

0:26:17.836 --> 0:26:22.596
<v Speaker 1>think that it's important not to throw the baby out

0:26:22.636 --> 0:26:27.316
<v Speaker 1>with the bathwater. There are law enforcement officers who are

0:26:28.916 --> 0:26:34.316
<v Speaker 1>quite biased. We know this, right, but it doesn't mean

0:26:34.756 --> 0:26:39.956
<v Speaker 1>that we should not expect law enforcement officers who don't

0:26:39.996 --> 0:26:43.636
<v Speaker 1>have such biases to serve the public in the way

0:26:43.956 --> 0:26:50.116
<v Speaker 1>that the legislators have determined they should. When you make

0:26:50.156 --> 0:26:57.956
<v Speaker 1>that very compelling response to actual abolitionists, prison abolitionists, or

0:26:57.956 --> 0:27:01.516
<v Speaker 1>police abolitionists, if you have had occasion too, would imagine

0:27:01.516 --> 0:27:04.316
<v Speaker 1>you probably have. How is it taken? I mean, it

0:27:04.396 --> 0:27:06.836
<v Speaker 1>seems so compelling to me, But again, I'm not starting

0:27:06.836 --> 0:27:08.996
<v Speaker 1>from the same position as some of those critics of this.

0:27:09.236 --> 0:27:17.116
<v Speaker 1>They respond by saying, listen, we can't trust law enforcement

0:27:17.236 --> 0:27:26.156
<v Speaker 1>because they lock up a disproportionate number of African Americans

0:27:26.156 --> 0:27:31.316
<v Speaker 1>for hate crime. And I say, well, actually, I've looked

0:27:31.356 --> 0:27:34.676
<v Speaker 1>at that, right, I've looked at law enforcement that was

0:27:34.756 --> 0:27:40.116
<v Speaker 1>actually doing the real work of investigating hate crime, and

0:27:40.236 --> 0:27:45.236
<v Speaker 1>I did not see evidence of that. Show me law

0:27:45.356 --> 0:27:49.476
<v Speaker 1>enforcement that is actually doing its job with respect to

0:27:49.556 --> 0:27:58.036
<v Speaker 1>hate crime, and show me that they are disproportionately enforcing

0:27:58.036 --> 0:28:03.556
<v Speaker 1>the law. You are just assuming because large numbers of

0:28:03.636 --> 0:28:08.436
<v Speaker 1>African Americans, more than you think should be, are being arrested.

0:28:08.756 --> 0:28:11.756
<v Speaker 1>And I say that's a problem that you need to

0:28:11.796 --> 0:28:17.396
<v Speaker 1>correct with law enforcement, as opposed to again saying we

0:28:17.436 --> 0:28:23.916
<v Speaker 1>shouldn't do this at all. When you work with law enforcement,

0:28:24.356 --> 0:28:26.676
<v Speaker 1>I take it that sometimes you're wearing a pure researcher

0:28:26.716 --> 0:28:31.316
<v Speaker 1>hat and sometimes you're wearing an advisor, guide advocate, help

0:28:31.356 --> 0:28:33.876
<v Speaker 1>them do a better job hat, And maybe it's possible

0:28:33.876 --> 0:28:37.036
<v Speaker 1>to wear those two hats simultaneously. I was wondering in

0:28:37.156 --> 0:28:40.676
<v Speaker 1>either of these modes. What reception do you have you

0:28:40.716 --> 0:28:44.156
<v Speaker 1>had personally as a scholar and a researcher and sometime

0:28:44.196 --> 0:28:50.556
<v Speaker 1>activist in encountering police when you discuss with them, you know,

0:28:50.636 --> 0:28:52.156
<v Speaker 1>this is how you can do it better. This is

0:28:52.196 --> 0:28:53.876
<v Speaker 1>what you're not doing, This is what the point that

0:28:53.876 --> 0:28:58.116
<v Speaker 1>you're missing. I haven't had that role actually with law

0:28:58.196 --> 0:29:02.916
<v Speaker 1>enforcement officers. I am about to take up that role.

0:29:04.476 --> 0:29:08.796
<v Speaker 1>And meaning until now you've been a pure researcher and

0:29:08.836 --> 0:29:11.916
<v Speaker 1>now going to be Yeah, I'm gonna sort of try

0:29:11.956 --> 0:29:18.036
<v Speaker 1>to start helping law enforcement locally, at least locally with

0:29:19.716 --> 0:29:22.636
<v Speaker 1>the issue of hate crime and to boost reporting of

0:29:22.636 --> 0:29:27.196
<v Speaker 1>hate crime, because that's another thing that law enforcement can

0:29:27.356 --> 0:29:32.876
<v Speaker 1>do to better address the issue of hate crime. They

0:29:32.996 --> 0:29:35.476
<v Speaker 1>can have someone on the other end of the line

0:29:35.876 --> 0:29:41.356
<v Speaker 1>when people call and who is not a Joe Friday,

0:29:41.436 --> 0:29:44.796
<v Speaker 1>just the facts man. And when you say you're about

0:29:44.836 --> 0:29:47.276
<v Speaker 1>to take up that role, it sounds like you've already

0:29:47.316 --> 0:29:49.636
<v Speaker 1>done the first steps of talking to them about how

0:29:49.676 --> 0:29:54.836
<v Speaker 1>that might be doable. Oh. Yes, in part because I've

0:29:54.876 --> 0:30:01.436
<v Speaker 1>experienced this. I was walking, you know, in the neighborhood,

0:30:02.116 --> 0:30:05.676
<v Speaker 1>and someone yelled something out of a car. I knew

0:30:06.636 --> 0:30:08.836
<v Speaker 1>because I teach the First Amendment that this was not

0:30:08.956 --> 0:30:16.196
<v Speaker 1>a hate crime, but it was unpleasant, right. So I

0:30:16.236 --> 0:30:18.676
<v Speaker 1>told a bunch of people about it, and one person

0:30:18.716 --> 0:30:20.596
<v Speaker 1>that I told about it said, you need to report

0:30:20.636 --> 0:30:24.476
<v Speaker 1>that to the police. I said, oh, come on, not good. Heavens,

0:30:25.116 --> 0:30:27.156
<v Speaker 1>you know, I know more about the police and hate

0:30:27.156 --> 0:30:29.476
<v Speaker 1>crime than most people. We don't even have a hate

0:30:29.516 --> 0:30:33.916
<v Speaker 1>crime statute, not reporting. She said, listen, the police want

0:30:33.956 --> 0:30:37.596
<v Speaker 1>to know about this. So I called the police, feeling

0:30:37.676 --> 0:30:41.996
<v Speaker 1>quite foolish about this, and had an encounter with the

0:30:42.076 --> 0:30:48.716
<v Speaker 1>law enforcement officer supposedly randomly who really got it about

0:30:49.516 --> 0:30:56.836
<v Speaker 1>how to take information about incidents like this. He understood

0:30:56.956 --> 0:31:01.516
<v Speaker 1>quite well the power of the police in these sorts

0:31:01.516 --> 0:31:08.396
<v Speaker 1>of situations. You've mentioned increasing reporting as a desirable objective,

0:31:08.596 --> 0:31:10.556
<v Speaker 1>and I want to to ask you about and this

0:31:10.636 --> 0:31:14.236
<v Speaker 1>is whearing your social scientist analysts had. When we do

0:31:14.516 --> 0:31:17.956
<v Speaker 1>see a rise in the reporting of hate crimes, do

0:31:17.996 --> 0:31:21.316
<v Speaker 1>you tend to interpret that as just more consciousness, more

0:31:21.316 --> 0:31:24.516
<v Speaker 1>people doing what you did and reporting things, police being

0:31:24.516 --> 0:31:27.516
<v Speaker 1>more receptive to taking reports, or do you see it

0:31:27.556 --> 0:31:31.556
<v Speaker 1>as reflecting background conditions that they're actually might be rising

0:31:31.756 --> 0:31:34.876
<v Speaker 1>numbers of hate crimes in the United states in their

0:31:34.916 --> 0:31:38.636
<v Speaker 1>current moment, because obviously the public wants to know which

0:31:38.676 --> 0:31:41.316
<v Speaker 1>of those two things is happening. Even if it's inherently

0:31:41.316 --> 0:31:43.476
<v Speaker 1>good for more crimes to be reported, we also want

0:31:43.516 --> 0:31:49.236
<v Speaker 1>to know if there's more hate crime happening now or not. Well,

0:31:49.356 --> 0:31:54.036
<v Speaker 1>if I know something about changes in procedures among police departments,

0:31:54.636 --> 0:32:02.716
<v Speaker 1>then I will see it as better policing. But in

0:32:02.756 --> 0:32:09.396
<v Speaker 1>the absence of any evidence that suggests that police are

0:32:09.436 --> 0:32:14.396
<v Speaker 1>doing anything differently, I don't know where to place it.

0:32:14.956 --> 0:32:22.676
<v Speaker 1>I really don't because the data is very, very bad.

0:32:25.196 --> 0:32:31.076
<v Speaker 1>The data includes not just police reports right the FBI,

0:32:31.956 --> 0:32:36.396
<v Speaker 1>the bad data collected by the FBI. But there's a

0:32:36.956 --> 0:32:39.716
<v Speaker 1>center in California, the Center for the Study of Hate

0:32:39.716 --> 0:32:45.076
<v Speaker 1>and Extremism, that also collects data. Southern Poverty Law Center

0:32:45.196 --> 0:32:52.116
<v Speaker 1>collects data. There was a media organization also collecting data

0:32:52.516 --> 0:32:59.956
<v Speaker 1>and just recording incidents. So those are fairly stable sources

0:32:59.996 --> 0:33:04.756
<v Speaker 1>of data that don't have They have some problems, but

0:33:04.836 --> 0:33:08.876
<v Speaker 1>they're different types of problems than law enforcement. So if

0:33:08.916 --> 0:33:14.836
<v Speaker 1>the sorts of data show rises and the FBI data

0:33:14.876 --> 0:33:19.556
<v Speaker 1>shows a rise, then that suggests that there's a lot

0:33:19.596 --> 0:33:23.836
<v Speaker 1>more activity. That suggests there has been a rise so

0:33:23.956 --> 0:33:29.636
<v Speaker 1>you pair the law enforcement data with other sorts of data,

0:33:29.836 --> 0:33:32.436
<v Speaker 1>and that you would say, is suggestive that there actually

0:33:32.516 --> 0:33:34.756
<v Speaker 1>is a rise out there, not just a rise in reporting,

0:33:34.756 --> 0:33:37.236
<v Speaker 1>but aine a genuine rise in light of what's going

0:33:37.236 --> 0:33:42.276
<v Speaker 1>to interactundring today. Yeah, exactly, to return for a moment

0:33:42.316 --> 0:33:45.436
<v Speaker 1>to the Atlantis shooter, who has not presently been charged

0:33:45.436 --> 0:33:48.876
<v Speaker 1>with a hate crime, you were saying that with better

0:33:48.916 --> 0:33:54.236
<v Speaker 1>evidence collection and more expertise, law enforcement could well have

0:33:54.316 --> 0:33:56.716
<v Speaker 1>been able to gather information, might still be able to

0:33:56.756 --> 0:33:59.436
<v Speaker 1>gather information in a better way they would enable a

0:33:59.436 --> 0:34:01.436
<v Speaker 1>hate crime to be charged. And I guess I'm wondering

0:34:01.476 --> 0:34:04.876
<v Speaker 1>in the real world, what would it take for law

0:34:04.996 --> 0:34:09.636
<v Speaker 1>enforcement to gather that information, and what information would it

0:34:09.636 --> 0:34:12.156
<v Speaker 1>take to convince law enforcement to bring such a charge,

0:34:12.796 --> 0:34:15.556
<v Speaker 1>And then what bigger picture difference would emerge in the

0:34:15.596 --> 0:34:19.276
<v Speaker 1>world if his crimes were charged not only as crimes

0:34:19.276 --> 0:34:25.156
<v Speaker 1>of murder but also as hate crimes. A bias unit

0:34:25.836 --> 0:34:30.916
<v Speaker 1>in the police department or in area police departments, or

0:34:31.036 --> 0:34:36.716
<v Speaker 1>some sort of special focus on hate crime in the area,

0:34:37.276 --> 0:34:45.796
<v Speaker 1>some targeted attention to hate crime investigation would lead to

0:34:46.676 --> 0:34:52.516
<v Speaker 1>a change in the way that they investigate crime. And

0:34:53.836 --> 0:34:58.556
<v Speaker 1>it doesn't matter for offense. He will be at some

0:34:58.676 --> 0:35:04.636
<v Speaker 1>point charge with multiple murders, multiple accounts of first degree murders.

0:35:06.156 --> 0:35:08.956
<v Speaker 1>But it matters to the individuals who are targeted by

0:35:08.956 --> 0:35:13.236
<v Speaker 1>the is violence and by individuals targeted. I'm talking about

0:35:13.236 --> 0:35:17.556
<v Speaker 1>the entire community. Asian Americans all over the country are

0:35:17.636 --> 0:35:22.196
<v Speaker 1>reeling from this, and it does violence to their pain.

0:35:22.916 --> 0:35:27.956
<v Speaker 1>To say that it's not motivated by bias says that

0:35:28.996 --> 0:35:34.956
<v Speaker 1>someone can go in and target a bunch of you

0:35:36.116 --> 0:35:42.596
<v Speaker 1>and we can say, oh, having a bad day, that

0:35:42.756 --> 0:35:49.796
<v Speaker 1>is awful. That's a very powerful answer. I want to

0:35:49.836 --> 0:35:52.196
<v Speaker 1>thank you so much for the interview and also for

0:35:52.236 --> 0:35:55.116
<v Speaker 1>your much more importantly, for your terrific and fascinating work.

0:35:55.156 --> 0:35:57.636
<v Speaker 1>I learned so much from reading it and learn so

0:35:57.676 --> 0:36:00.836
<v Speaker 1>much from a conversation. Thank you, Thank you so much.

0:36:08.396 --> 0:36:12.796
<v Speaker 1>Listening to Professor Jeanine Bell was eye opening for me

0:36:13.716 --> 0:36:18.076
<v Speaker 1>because of the precision that she brings to analyzing both

0:36:18.076 --> 0:36:22.116
<v Speaker 1>the data around hate crimes and the technical legal issues

0:36:22.556 --> 0:36:27.476
<v Speaker 1>that surround the decisions to investigate and to prosecute. I

0:36:27.556 --> 0:36:30.956
<v Speaker 1>was stunned to hear her say that in a recent year,

0:36:31.076 --> 0:36:34.596
<v Speaker 1>eighty six point one percent of the criminal jurisdictions in

0:36:34.636 --> 0:36:37.836
<v Speaker 1>the United States reported to the FBI that they had

0:36:37.876 --> 0:36:41.196
<v Speaker 1>experienced no hate crimes, and although I would love to

0:36:41.196 --> 0:36:43.436
<v Speaker 1>live in a country where that was the actual reality,

0:36:43.676 --> 0:36:46.876
<v Speaker 1>I seriously doubt whether we do live in such a country.

0:36:47.636 --> 0:36:49.956
<v Speaker 1>It was also a very striking that she pointed out

0:36:50.076 --> 0:36:53.596
<v Speaker 1>that where prosecutors and police don't have experience in investigating

0:36:53.596 --> 0:36:56.356
<v Speaker 1>hate crimes, they might miss some of the most basic

0:36:56.436 --> 0:37:02.236
<v Speaker 1>sources of evidence, including, for example, sympathetically interviewing victims and

0:37:02.356 --> 0:37:05.356
<v Speaker 1>survivors of hate crimes in order to find out what

0:37:05.396 --> 0:37:09.356
<v Speaker 1>evidence they have to offer about the motives of the

0:37:09.396 --> 0:37:13.276
<v Speaker 1>people who committed the crimes in the first place. Overall,

0:37:13.516 --> 0:37:16.396
<v Speaker 1>I can see why Professor Bell is so focused on

0:37:16.556 --> 0:37:21.076
<v Speaker 1>encouraging police departments to develop expertise and distinctive hate crimes

0:37:21.116 --> 0:37:24.476
<v Speaker 1>units who will have the relevant institutional experience and their

0:37:24.516 --> 0:37:27.676
<v Speaker 1>elevant knowledge of how to go about investigating hate crime

0:37:27.876 --> 0:37:30.556
<v Speaker 1>in order to then bring those crimes to prosecutors to

0:37:30.596 --> 0:37:34.596
<v Speaker 1>be brought before juries. A further perspective that Professor Bell

0:37:34.876 --> 0:37:39.196
<v Speaker 1>brought that was extremely interesting to me was her gentle

0:37:39.276 --> 0:37:44.156
<v Speaker 1>pushback against those prison abolitionists and police abolitionists who are

0:37:44.276 --> 0:37:49.276
<v Speaker 1>skeptical of the capacity of hate crimes to actually enhance

0:37:49.716 --> 0:37:54.836
<v Speaker 1>racial justice. Professor Bell made the point that we all

0:37:54.876 --> 0:37:59.756
<v Speaker 1>surely think that terrible murderers like Dylan Roof need to

0:37:59.796 --> 0:38:02.876
<v Speaker 1>be put in prison, and that from there one must

0:38:02.916 --> 0:38:06.676
<v Speaker 1>embrace at least the possibility that by enforcing hate crimes

0:38:06.716 --> 0:38:11.036
<v Speaker 1>legislation more completely, more fully, and more fairly, we actually

0:38:11.076 --> 0:38:16.956
<v Speaker 1>could improve the state of criminal justice with respect to race. Finally,

0:38:16.996 --> 0:38:20.076
<v Speaker 1>I was struck that even in our terrible moment, where

0:38:20.196 --> 0:38:23.556
<v Speaker 1>there appears, based on the data, to be arise in

0:38:23.716 --> 0:38:27.876
<v Speaker 1>hate crimes around the country, she is nevertheless ultimately optimistic

0:38:28.196 --> 0:38:31.996
<v Speaker 1>about the possibility that our criminal justice system could improve

0:38:32.116 --> 0:38:35.556
<v Speaker 1>going forward by doing a better job with respect to

0:38:35.596 --> 0:38:39.876
<v Speaker 1>the enforcement of hate crimes and biased crimes. In this moment,

0:38:40.036 --> 0:38:42.676
<v Speaker 1>any optimism about the question of whether we might in

0:38:42.716 --> 0:38:45.596
<v Speaker 1>fact to do better than we're doing is to me

0:38:45.676 --> 0:38:50.956
<v Speaker 1>at least a sign of hope, array of possibility. Not

0:38:51.076 --> 0:38:53.476
<v Speaker 1>that we're in a good place now, but that we could,

0:38:53.796 --> 0:38:57.556
<v Speaker 1>by being careful, rational and precise, get to a better

0:38:57.596 --> 0:39:01.436
<v Speaker 1>place in the future. Until the next time I speak

0:39:01.436 --> 0:39:04.876
<v Speaker 1>to you, all, be careful, be safe, and be well.

0:39:07.036 --> 0:39:10.476
<v Speaker 1>Deep background is brought to you by Pushkin Industries. Our

0:39:10.516 --> 0:39:14.316
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0:39:14.356 --> 0:39:19.076
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0:39:19.556 --> 0:39:23.196
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0:39:31.636 --> 0:39:34.596
<v Speaker 1>Twitter at Noah R. Feldman. I also write a column

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0:39:37.316 --> 0:39:41.596
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