WEBVTT - 081024 The Proof of Police Corruption (Part 1)

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<v Speaker 1>Broadcasting from the Hip Hop Weekly Studios. I'd like to

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<v Speaker 1>welcome you to another episode of Civic Cipher, where our

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<v Speaker 1>mission is to foster allyship empathy and understanding. I am

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<v Speaker 1>your host, Ramses.

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<v Speaker 2>Job is Ramsey's jah. I am q Ward. You are

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<v Speaker 2>tuned into Civic so.

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<v Speaker 1>Indeed you are, and we have a show that we

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<v Speaker 1>think will be worth you sticking around for First up,

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<v Speaker 1>we are going to be talking about not one, but

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<v Speaker 1>two instances of widespread police corruption and police misconduct in

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<v Speaker 1>police brutality in two major cities in the United States

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<v Speaker 1>of America. And on the show, longtime listeners will know

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<v Speaker 1>that we have been making a case for systemic oppression

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<v Speaker 1>done to black and brown communities in this country and

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<v Speaker 1>marginalized communities in this country at the hands of police.

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<v Speaker 1>And now we have a couple of recent instances of

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<v Speaker 1>these global or national agencies investigating these police departments and

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<v Speaker 1>uncovering what Q and I discuss every week on the

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<v Speaker 1>show and what the data indeed supports in terms of

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<v Speaker 1>the police are biased against black and brown people. And

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<v Speaker 1>that is the tip of the iceberg of indeed the

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<v Speaker 1>entirety of the carceral system in this country and those

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<v Speaker 1>of us that look like me and Q suffer more

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<v Speaker 1>as a result of that. And the second part of

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<v Speaker 1>the show, we're going to talk about what it means

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<v Speaker 1>to be energized and fortified by being around like minded individuals,

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<v Speaker 1>those of us who are activists and those of us

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<v Speaker 1>who want to create change in the world. Sometimes it

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<v Speaker 1>can be a lonely path. Sometimes we don't know who's

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<v Speaker 1>all working with us, and it feels very isolated. But

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<v Speaker 1>Q and I had a recent experience at the National

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<v Speaker 1>Urban League convention in New Orleans, and we're going to

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<v Speaker 1>share all about that and exactly how wonderful that was.

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<v Speaker 1>But before we get there, it is time to discuss

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<v Speaker 1>some ebony. I think you.

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<v Speaker 3>Shall RAMS always thinks I shall. Sports related. This story

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<v Speaker 3>is from Yahoo Sports. I mean the excellence This week

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<v Speaker 3>is sponsored by actively black. There is greatness in our DNA.

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<v Speaker 3>Visit actively black dot com Yahoo Sports. In Paris, Julian

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<v Speaker 3>Alfred awoke at five am on the morning of the

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<v Speaker 3>Olympic one hundred meter final, feeling like she needed some

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<v Speaker 3>extra inspiration. The Saint Lucia sprinter opened her journal and

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<v Speaker 3>wrote the words Julian Alfred Olympic Champion. She also pulled

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<v Speaker 3>up videos of some of you saying boat's Olympic victories.

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<v Speaker 2>Quote.

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<v Speaker 3>I was picturing myself coming across the line and being

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<v Speaker 3>an Olympic champion, Alfred said. Only hours later, Alfred's vision

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<v Speaker 3>became reality. Alfred burst out of the blocks and ran

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<v Speaker 3>away from America's pre race favorite sh Carrie Richardson, was

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<v Speaker 3>startling ease, winning an ablazing ten point seventy two seconds

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<v Speaker 3>to secure her tiny Caribbean nation's first Olympic medal. As

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<v Speaker 3>a smiling out for streak to cross the finish line,

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<v Speaker 3>she ripped off her bib and started pointing at her name.

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<v Speaker 3>It's a name that is now etched in history after

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<v Speaker 3>the twenty three year old ran the eighth fastest women's

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<v Speaker 3>one hundred in history Saturday night on stud de Francis,

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<v Speaker 3>rain soaked purple track. Quote, it means a lot to me,

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<v Speaker 3>Alfred said. I definitely knew the Saint Lucians would be

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<v Speaker 3>watching and hoping they could get their first Olympic medal.

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<v Speaker 3>I'm sure they're celebrating right now. End quote. Their first

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<v Speaker 3>Olympic medal in the history of the nation is gold

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<v Speaker 3>at the one hundred meters, which might be the most

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<v Speaker 3>popular event at the Summer Games. Julian has been an

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<v Speaker 3>incredible sprinter at the University of Texas here in the

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<v Speaker 3>United States, but representing her home nation. She shined bright

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<v Speaker 3>like a diamond on that track. And salute to Americans

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<v Speaker 3>Melissa and Shakerri for winning silver and bronze and that

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<v Speaker 3>podium of beautiful queens now etched and Olympic history.

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<v Speaker 1>Now you see why Q was really good at the

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<v Speaker 1>sports stuff, because he knows little fun facts like that.

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<v Speaker 1>All right, The police are still corrupt. They have been

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<v Speaker 1>since or at least insofar as black people are concerned

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<v Speaker 1>an extension of white supremacy and white supremacist ideals, and

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<v Speaker 1>they're hiring practices support that, and their training practices support that,

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<v Speaker 1>and so forth and so on. Before I even get

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<v Speaker 1>here is a great example.

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<v Speaker 2>Police are.

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<v Speaker 1>One of the priorities of police is to learn how

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<v Speaker 1>to kill someone, you know, So they get a lot

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<v Speaker 1>of training on how to fire their weapon in someone's life, right,

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<v Speaker 1>And of course there are people who make arguments of

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<v Speaker 1>why that's important in this country, and I'm not disputing that.

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<v Speaker 1>That's not the conversation I want to have. But when

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<v Speaker 1>you train someone how to take a life. You don't

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<v Speaker 1>train someone in the way of cultural competencies and understanding

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<v Speaker 1>the populations that they're policing, and so forth, you end

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<v Speaker 1>up with a situation like Sonya Massi's. Because there was

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<v Speaker 1>a recent article that came out where the officer suggested,

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<v Speaker 1>for those that are familiar with Sonya Massey's story, that

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<v Speaker 1>when Sonya told the officer, I rebuke you in the

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<v Speaker 1>name of Jesus, he took that to mean a threat

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<v Speaker 1>on his life. Now, there are people who say that's nonsense.

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<v Speaker 1>I would be inclined to agree with those people that

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<v Speaker 1>is nonsense.

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<v Speaker 2>But I think he looked at me or read my mind. Yeah.

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<v Speaker 1>But but the truth is is that he wouldn't be

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<v Speaker 1>able to say that, nor would he be able to

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<v Speaker 1>even think that, if he was trained with a degree

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<v Speaker 1>of cultural competency, a degree of interacting with different cultures.

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<v Speaker 1>So rather than prioritizing that type of training, rather than

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<v Speaker 1>having the institution uphold and support and embrace the differences

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<v Speaker 1>cultural differences of the different populations that are being policed,

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<v Speaker 1>what its prioritized and police training is often brutality. Uh,

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<v Speaker 1>you know, weapons training, you know that sort of thing,

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<v Speaker 1>not de escalation, not anything like that. And so police

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<v Speaker 1>can hide behind, justifiably, behind their fears, and mount a

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<v Speaker 1>case a defense surrounding this woman.

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<v Speaker 3>Just kitchens justifiably if they're afraid, if they just hate,

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<v Speaker 3>and they're just callous and they lack empathy, they have

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<v Speaker 3>I think they use fear as a shield.

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<v Speaker 1>That's okay, that's say justifiable, That's that's a much better

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<v Speaker 1>way to say it. Yeah, absolutely right. But my point

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<v Speaker 1>remains that these institutions were not created to protect and

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<v Speaker 1>serve everyone, and examples of that exist to this day.

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<v Speaker 1>Well today we're going to discuss a couple of examples,

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<v Speaker 1>and you have to forgive me in advance because we

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<v Speaker 1>do a lot of reading. But it's important that you

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<v Speaker 1>don't feel like this is Ramses and Q's opinions, nor

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<v Speaker 1>is this black people's opinions. The first report comes from

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<v Speaker 1>the United Nations and the second one comes from the Department,

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<v Speaker 1>the US Department, sorry, the US Justice Department. So these

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<v Speaker 1>are not based local biased opinions. Yeah, this is just

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<v Speaker 1>things you need to know about that corroborate what we've

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<v Speaker 1>been discussing on the show and what black people have

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<v Speaker 1>been discussing at large for decades. First up from The Guardian,

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<v Speaker 1>a group of United Nations experts is calling on the

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<v Speaker 1>US federal, state, and local authorities to take quote immediate

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<v Speaker 1>and comprehensive action to resolve a long standing scandal where

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<v Speaker 1>people are languishing behind bars after being allegedly tortured by

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<v Speaker 1>Chicago police to extract false confessions. I want to stop

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<v Speaker 1>right here, so now that you know that we're talking

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<v Speaker 1>about Chicago, the third largest city in the United States

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<v Speaker 1>of America, I want you to bear in mind that

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<v Speaker 1>there are a lot of people who point to Chicago

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<v Speaker 1>to try to suggest political failures from Democrats, to try

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<v Speaker 1>to suggest black people having some sort of predisposition toward

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<v Speaker 1>violence or a violent nature.

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<v Speaker 3>Yeah, they want to extinguish empathy for black people, so

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<v Speaker 3>they point to Chicago and use it as an example

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<v Speaker 3>of quote black on black crime, and why should we

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<v Speaker 3>care about them if they don't care about themselves.

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<v Speaker 2>As the type of language that they use.

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<v Speaker 3>So you and I tend to bump into Chicago as

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<v Speaker 3>an example far too often for reasons that even statistically

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<v Speaker 3>don't make any sense, because we're talking about populations and

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<v Speaker 3>proximity to one another instead of really intentionally dishonest cultural generalizations,

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<v Speaker 3>if you will.

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<v Speaker 1>Now, I want to share something. There was a thing

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<v Speaker 1>called called I forget what it was called, but effectively

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<v Speaker 1>it was a mass exodus from the South of black

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<v Speaker 1>people into places like Chicago and Gary, Indiana, and Detroit, Michigan. Detroit,

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<v Speaker 1>Michigan because there were opportunities Indianapolis, Indiana, there you go.

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<v Speaker 1>And Chicago was probably the biggest example of that, probably

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<v Speaker 1>followed closely, if not surpassed by Detroit, of destination cities

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<v Speaker 1>for black men seeking work and seeking a life outside

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<v Speaker 1>of the Jim Crow South.

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<v Speaker 3>Yes, in the seventies and eighties, Detroit had a higher

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<v Speaker 3>percentage wise black population than in Chicago.

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<v Speaker 1>Sure, absolutely, I'd go with that all day, but in

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<v Speaker 1>terms of numbers, not as a percentage of the population,

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<v Speaker 1>but in terms of number of Chicago may I don't

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<v Speaker 1>know this, but the point is is that there was

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<v Speaker 1>a big mass exodus of black people from the South

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<v Speaker 1>two places like Chicago. So I say that this to

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<v Speaker 1>establish Chicago having a a statistically relevant percentage of their

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<v Speaker 1>population being black and overall amount of black people there

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<v Speaker 1>being black. And so that's something that makes it convenient

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<v Speaker 1>on both sides of you know, people trying to criticize

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<v Speaker 1>different facets of society. It makes it a convenient example. However,

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<v Speaker 1>Chicago is it's sort of interesting in that there's been

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<v Speaker 1>black politicians in Chicago and there's been institutions that have

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<v Speaker 1>suppressed black people's.

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<v Speaker 2>Mobility.

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<v Speaker 3>Yes, Chicago is a very interesting example. Rams is because

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<v Speaker 3>being the third largest city in the United States, it

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<v Speaker 3>is the largest or the most segregated big city in

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<v Speaker 3>the country as well. And like hard lines nation outside,

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<v Speaker 3>like what used to be the case, you know, before

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<v Speaker 3>we were born, Chicago still holds on to those you know,

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<v Speaker 3>you people live over there and we stay over here

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<v Speaker 3>kind of rules. So then, you know, you talk about

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<v Speaker 3>places like we've mentioned Gary, Indianapolis, Detroit, and Saint Louis.

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<v Speaker 3>Black people have kind of moved out into the suburbs

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<v Speaker 3>and those cities, and they have in Chicago suburbs as well,

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<v Speaker 3>But the city of Chicago is still very racially segregated.

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<v Speaker 1>Okay, Now let's add to that that Chicago is in

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<v Speaker 1>terms for folks who want to be critical of black populations,

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<v Speaker 1>democratic policies, you name it in this country, Chicago has

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<v Speaker 1>it checks two very important boxes too that we've already mentioned.

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<v Speaker 1>One is that a percentage of the population is statistically

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<v Speaker 1>black and higher than a lot of o there are

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<v Speaker 1>big cities like that. The other is that, again, the

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<v Speaker 1>overall amount of black people in that city is higher.

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<v Speaker 1>So you can pick and choose from which column black

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<v Speaker 1>people's crime rates are statistically higher or black people commit

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<v Speaker 1>more crimes, and either point can be argued based on

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<v Speaker 1>a number of factors that come together in Chicago. But

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<v Speaker 1>I think that this example that will continue to read

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<v Speaker 1>from the Guardian will show that it's not just subjected

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<v Speaker 1>to the criticism, is not just. It should not just

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<v Speaker 1>be viewed through the lens of folks on the hard right,

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<v Speaker 1>because the police indeed are shaping outcomes artificially based on

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<v Speaker 1>the practices we're about to describe in these findings from

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<v Speaker 1>the United Nations. Now, the United Nations doesn't get involved

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<v Speaker 1>unless it's like a crime against humanity, right, So allow

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<v Speaker 1>me to continue. The group of UNS special reporters who

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<v Speaker 1>specialize in addressing the scourges of contemporary racism and torture

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<v Speaker 1>has released a report detailing a long history of brutal

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<v Speaker 1>and racist police misconduct. They became involved at the behest

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<v Speaker 1>of an activist Mother's organization in Chicago that was exasperated

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<v Speaker 1>at what they saw as the patch of response of

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<v Speaker 1>the authorities over the years to shocking injustice. Numerous cases

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<v Speaker 1>are highlighted in the twenty six page report, and there

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<v Speaker 1>are many more regarded as unresolved for decades. The group

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<v Speaker 1>of Special Reporters cited quote information we have received regarding

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<v Speaker 1>historical and continuing allegations of the systemic corruption and use

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<v Speaker 1>of torture are other cruel, inhuman or degrading treatment by

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<v Speaker 1>law enforcement officials in the Chicago area. The report says

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<v Speaker 1>that such treatment has resulted quote in wrongful convictions and

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<v Speaker 1>unjust incarceration of affected individuals who are disproportionately of African

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<v Speaker 1>and Latino slash Hispanic descent. The names of individual police

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<v Speaker 1>officers accused of mistreatment have been redacted. The six Special

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<v Speaker 1>Reporters from the UN Human Rights Division who produced the

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<v Speaker 1>report are kp Ashweeny, Barbara Reynolds being On Da Costa,

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<v Speaker 1>Telang Mofonging, Claudia Mailer, and Alice Jill Edwards. They said

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<v Speaker 1>they had contacted the US government quote to address these

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<v Speaker 1>allegations and clarify its obligations under international law. Quote and recalling,

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<v Speaker 1>for a quote, further action to remedy racialized police violence

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<v Speaker 1>and his conduct within Chicago's law enforcement and criminal justice system.

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<v Speaker 1>They submitted their report to the US government in May,

0:14:39.800 --> 0:14:43.440
<v Speaker 1>but now have released it publicly. Allegations of injustice stretch

0:14:43.680 --> 0:14:46.400
<v Speaker 1>from the nineteen seventies and nineteen eighties to present day,

0:14:46.480 --> 0:14:49.360
<v Speaker 1>with people still in prison whom the UN report says

0:14:49.400 --> 0:14:52.480
<v Speaker 1>signed confessions after allegedly being tortured for hours or even

0:14:52.600 --> 0:14:56.360
<v Speaker 1>days by being beaten and bones broken, kicked and given

0:14:56.360 --> 0:15:00.640
<v Speaker 1>electric shocks, suffocated and burnt, among other violence, and deprived

0:15:00.640 --> 0:15:03.720
<v Speaker 1>of sleep, food, and water, all while racist insults were

0:15:03.720 --> 0:15:06.920
<v Speaker 1>shouted at them. So again, that's not my opinion, that's

0:15:06.920 --> 0:15:09.960
<v Speaker 1>not Que's opinion. These are the findings of the United Nations,

0:15:11.680 --> 0:15:17.760
<v Speaker 1>and you start to see how the data in and

0:15:17.800 --> 0:15:23.480
<v Speaker 1>of itself is part of the story, and then not

0:15:23.640 --> 0:15:26.480
<v Speaker 1>insignificant part of the story. But when you start to

0:15:26.520 --> 0:15:28.560
<v Speaker 1>see where the data comes from, you start to really

0:15:28.600 --> 0:15:30.800
<v Speaker 1>examine the data and not just take it at face value.

0:15:31.560 --> 0:15:33.800
<v Speaker 1>You start to see that some of this data could

0:15:33.840 --> 0:15:36.960
<v Speaker 1>have been artificially skewed one way or the other. Now,

0:15:36.960 --> 0:15:40.560
<v Speaker 1>this is in no way me trying to say that

0:15:41.240 --> 0:15:44.680
<v Speaker 1>Black people have our own problems. Every community has their

0:15:44.680 --> 0:15:47.440
<v Speaker 1>own problems in their own they have to decide what

0:15:47.640 --> 0:15:51.720
<v Speaker 1>paths they want to take. Every society has problems and

0:15:51.800 --> 0:15:54.080
<v Speaker 1>has passed that they need to take to make society better.

0:15:54.120 --> 0:15:59.040
<v Speaker 1>This is the part of the human experience. But to

0:15:59.160 --> 0:16:06.320
<v Speaker 1>be artificial judged without considering the fact that the police

0:16:06.440 --> 0:16:09.440
<v Speaker 1>are playing a role in this is unfair. And we

0:16:09.520 --> 0:16:14.160
<v Speaker 1>have an example now of unbiased reporting that shows one

0:16:14.200 --> 0:16:16.560
<v Speaker 1>of the largest cities, well two of the largest cities

0:16:16.560 --> 0:16:21.240
<v Speaker 1>in the country, and how their policing practices have contributed

0:16:21.480 --> 0:16:24.400
<v Speaker 1>to the data that cast black people in a bad

0:16:24.520 --> 0:16:27.320
<v Speaker 1>light and leads to conversations like well, black culture is

0:16:27.400 --> 0:16:29.280
<v Speaker 1>bad and hip hop is bad and all this other

0:16:29.360 --> 0:16:32.240
<v Speaker 1>nonsense where it's like, well, we got some other things

0:16:32.240 --> 0:16:32.720
<v Speaker 1>to examine.

0:16:32.760 --> 0:16:35.600
<v Speaker 3>Go ahead, Well, I think it's important that you called

0:16:35.640 --> 0:16:39.440
<v Speaker 3>out that the data doesn't tell the whole story. You

0:16:39.480 --> 0:16:42.320
<v Speaker 3>and I had a conversation while we were in New

0:16:42.440 --> 0:16:47.960
<v Speaker 3>Orleans recently about polling numbers and a question asked to

0:16:48.040 --> 0:16:51.280
<v Speaker 3>a group regarding how you pay for things at the store,

0:16:52.040 --> 0:16:54.560
<v Speaker 3>and just taking the data would have you believe that

0:16:54.680 --> 0:16:57.160
<v Speaker 3>most of us pay for items in retail by check

0:16:58.200 --> 0:17:01.120
<v Speaker 3>it shows immediately when you read that that there's a

0:17:01.120 --> 0:17:02.440
<v Speaker 3>lot missing from that data.

0:17:02.480 --> 0:17:04.960
<v Speaker 2>The data isn't wrong or false or a lie.

0:17:05.200 --> 0:17:06.000
<v Speaker 1>It's math right.

0:17:06.440 --> 0:17:11.080
<v Speaker 3>It's just not giving you all the context and color

0:17:11.160 --> 0:17:14.400
<v Speaker 3>that you need. There's nuance that's missing. You have to

0:17:14.440 --> 0:17:17.879
<v Speaker 3>figure who's being polled, who's doing the polling right. So

0:17:17.920 --> 0:17:20.520
<v Speaker 3>we're not saying that your numbers are wrong. There's just

0:17:20.600 --> 0:17:23.920
<v Speaker 3>a lot missing. So you spoke on the show before

0:17:24.119 --> 0:17:28.280
<v Speaker 3>several times that you're going to find the most crimes

0:17:28.320 --> 0:17:32.080
<v Speaker 3>being committed where you're policing the most. So if their

0:17:32.080 --> 0:17:34.960
<v Speaker 3>police are only on this side of town, all the

0:17:35.040 --> 0:17:37.119
<v Speaker 3>crime they find will be on this side of town.

0:17:37.680 --> 0:17:40.400
<v Speaker 3>That does not mean there's no crime happening anywhere else,

0:17:40.480 --> 0:17:43.640
<v Speaker 3>or that the only people committing crime are those being policed.

0:17:44.000 --> 0:17:47.199
<v Speaker 1>It's a great example here, real quick. That example that

0:17:47.280 --> 0:17:50.240
<v Speaker 1>you mentioned was a TV station pulling their viewers about

0:17:50.280 --> 0:17:54.600
<v Speaker 1>who pays how people pay at retail places, and when

0:17:54.880 --> 0:17:57.640
<v Speaker 1>the answer came back with checks, they had to look

0:17:57.640 --> 0:18:00.399
<v Speaker 1>at that and say, Okay, this data is skewed. Not

0:18:00.480 --> 0:18:02.400
<v Speaker 1>that the math was wrong, but it's skewed because we're

0:18:02.400 --> 0:18:09.280
<v Speaker 1>not sampling in a statistically accurate cross section of the populations.

0:18:09.320 --> 0:18:12.280
<v Speaker 1>Now here's a great example or a great analogy that

0:18:12.280 --> 0:18:14.800
<v Speaker 1>goes with that. Let's say I'm a mouse catcher, right,

0:18:15.560 --> 0:18:18.320
<v Speaker 1>and I go into a mouse and I put all

0:18:18.359 --> 0:18:21.040
<v Speaker 1>my mouse traps in the living room, and then I

0:18:21.119 --> 0:18:25.280
<v Speaker 1>catch ten mice. And then I come back and say, well,

0:18:25.280 --> 0:18:27.800
<v Speaker 1>you know, you have a problem with the mice in

0:18:27.840 --> 0:18:30.520
<v Speaker 1>the living room, so you need mouse traps in the

0:18:30.520 --> 0:18:34.080
<v Speaker 1>living room. That data is skewed. Now to your point

0:18:34.080 --> 0:18:36.119
<v Speaker 1>about police only being on one side of town or

0:18:36.160 --> 0:18:38.919
<v Speaker 1>over policing, it would skew the data to suggest that

0:18:38.960 --> 0:18:41.240
<v Speaker 1>these people are committing crimes. No, there are mice all

0:18:41.280 --> 0:18:44.000
<v Speaker 1>over the house. Mice do not know the difference between

0:18:44.000 --> 0:18:50.159
<v Speaker 1>living room anymore than crime knows one population. Crime follows poverty, sure,

0:18:50.560 --> 0:18:52.920
<v Speaker 1>but I mean there's crime everywhere, and.

0:18:52.960 --> 0:18:55.520
<v Speaker 2>Crime also follows opportunity. There you go too.

0:18:55.960 --> 0:18:58.320
<v Speaker 3>So again, yes, if all the traps are in the

0:18:58.320 --> 0:19:01.360
<v Speaker 3>living room, then every mouse that's caught.

0:19:01.240 --> 0:19:02.960
<v Speaker 2>Is going to be a That's great.

0:19:03.000 --> 0:19:05.000
<v Speaker 1>That's a great analogy, all right, now I want to

0:19:05.040 --> 0:19:08.119
<v Speaker 1>share the other part. Also, I'm not reading these whole articles. Again,

0:19:08.320 --> 0:19:11.160
<v Speaker 1>check the Guardian and you can check the Associated Press

0:19:11.200 --> 0:19:12.200
<v Speaker 1>for the full articles.

0:19:12.560 --> 0:19:13.199
<v Speaker 2>But I do need to.

0:19:13.160 --> 0:19:14.359
<v Speaker 1>Get to the second one, because I do want to

0:19:14.359 --> 0:19:18.440
<v Speaker 1>make sure we share This comes from Phoenix, Arizona. Again

0:19:18.480 --> 0:19:22.280
<v Speaker 1>from the AP. Phoenix police discriminate against black, Hispanic and

0:19:22.359 --> 0:19:26.280
<v Speaker 1>Native American people, unlawfully detain homeless people, and use excessive force,

0:19:26.320 --> 0:19:30.480
<v Speaker 1>including unjustified deadly force, according to a sweeping federal civil

0:19:30.560 --> 0:19:34.520
<v Speaker 1>rights investigation of law enforcement in the nation's fifth largest city.

0:19:34.800 --> 0:19:36.520
<v Speaker 1>So now we're talking about the third largest city and

0:19:36.560 --> 0:19:39.040
<v Speaker 1>the fifth largest city. I'd imagine that Houston, the fourth

0:19:39.080 --> 0:19:41.720
<v Speaker 1>largest city, would have something, and of course New York

0:19:41.720 --> 0:19:44.040
<v Speaker 1>and LA first and second, they're going to have something too.

0:19:44.119 --> 0:19:45.200
<v Speaker 2>But here we are.

0:19:47.440 --> 0:19:52.160
<v Speaker 1>The US Justice Department released a report that says investigators

0:19:52.280 --> 0:19:55.679
<v Speaker 1>found stark racial disparities in how officers in the Phoenix

0:19:55.720 --> 0:19:58.840
<v Speaker 1>Police Department and forced certain laws, including low level drug

0:19:58.880 --> 0:20:02.840
<v Speaker 1>and traffic offenses. Investigators found that Phoenix police officers shoot

0:20:02.880 --> 0:20:05.280
<v Speaker 1>at people who do not pose an imminent threat, fire

0:20:05.320 --> 0:20:08.679
<v Speaker 1>their weapons after any threat has been eliminated, and routinely

0:20:08.720 --> 0:20:12.119
<v Speaker 1>delay medical care for people injured in encounters with officers.

0:20:12.600 --> 0:20:15.199
<v Speaker 1>The report does not mention whether the federal government is

0:20:15.240 --> 0:20:18.680
<v Speaker 1>pursuing a court enforced reform plan known as a consent decree,

0:20:19.080 --> 0:20:22.840
<v Speaker 1>an often costly and lengthy process, but a Justice Department

0:20:22.880 --> 0:20:25.959
<v Speaker 1>official told reporters that in similar cases that method has

0:20:26.000 --> 0:20:29.040
<v Speaker 1>been used to carry out reforms. The Justice Department said

0:20:29.160 --> 0:20:32.520
<v Speaker 1>Phoenix police officers enforce certain laws, such as low level

0:20:32.560 --> 0:20:37.400
<v Speaker 1>drug and traffic offenses, loitering and trespassing more harshly against black,

0:20:37.440 --> 0:20:40.120
<v Speaker 1>Hispanic and Native American people than against white people who

0:20:40.160 --> 0:20:43.760
<v Speaker 1>engage in the same conduct. Black people in the city

0:20:43.840 --> 0:20:47.080
<v Speaker 1>are over three point five times more likely than white people,

0:20:47.080 --> 0:20:50.040
<v Speaker 1>for example, to be cited or arrested for not signaling

0:20:50.080 --> 0:20:53.159
<v Speaker 1>before turning. The report says Hispanic drivers are more than

0:20:53.160 --> 0:20:55.480
<v Speaker 1>fifty percent more likely than white drivers to be cited

0:20:55.520 --> 0:20:58.840
<v Speaker 1>or arrested for speeding near school's own cameras, and Native

0:20:58.840 --> 0:21:02.280
<v Speaker 1>American people are more than forty four times more likely

0:21:02.320 --> 0:21:04.920
<v Speaker 1>than white people on a per capita basis to be

0:21:05.040 --> 0:21:11.920
<v Speaker 1>cited or arrested for possessing and consuming alcohol. Officers investigating

0:21:12.000 --> 0:21:15.200
<v Speaker 1>drug related offenses were also twenty seven percent more likely

0:21:15.400 --> 0:21:18.879
<v Speaker 1>to release white people in thirty minutes or less, but

0:21:19.000 --> 0:21:22.159
<v Speaker 1>Native Americans accused of the same offense were detained longer,

0:21:22.240 --> 0:21:25.840
<v Speaker 1>the Department set and Native Americans were fourteen percent more

0:21:25.920 --> 0:21:30.239
<v Speaker 1>likely to be booked for trespass while officers cited or

0:21:30.240 --> 0:21:33.000
<v Speaker 1>released white people accused of the same offense.

0:21:33.720 --> 0:21:37.760
<v Speaker 3>We've heard in recent news a call for complete immunity

0:21:37.840 --> 0:21:44.600
<v Speaker 3>for politicians and police officers. And we'll have to research

0:21:44.640 --> 0:21:47.439
<v Speaker 3>where this quote comes from. Lord acting is where I

0:21:47.480 --> 0:21:54.600
<v Speaker 3>read it most recently. Absolute power corrupts, absolutely, so very

0:21:54.680 --> 0:21:58.840
<v Speaker 3>very important that we don't put people in a position

0:21:59.480 --> 0:22:09.840
<v Speaker 3>do implicit biases or flat overt racism can just go unchecked.

0:22:10.280 --> 0:22:12.680
<v Speaker 3>You know, it's important that article said per capita because

0:22:12.680 --> 0:22:15.640
<v Speaker 3>people would like to argue about how many Native Americans

0:22:15.640 --> 0:22:17.440
<v Speaker 3>live here versus how many white people. And this is

0:22:17.480 --> 0:22:21.159
<v Speaker 3>not about the overall number, it's about the percentages. They

0:22:21.240 --> 0:22:24.280
<v Speaker 3>use percentages very intentionally as articles that you illmins.

0:22:24.880 --> 0:22:25.439
<v Speaker 2>Yeah, this is.

0:22:27.000 --> 0:22:30.480
<v Speaker 3>Intentional. This is not by mistake. This is a system

0:22:30.760 --> 0:22:33.080
<v Speaker 3>that these officers work inside of, so as Ramsas and

0:22:33.119 --> 0:22:36.359
<v Speaker 3>I have said, we can't count how many times we're

0:22:36.359 --> 0:22:38.840
<v Speaker 3>not talking about the individual police officer that you know

0:22:38.920 --> 0:22:42.920
<v Speaker 3>and love. We are talking about the institution of police

0:22:42.920 --> 0:22:46.440
<v Speaker 3>departments in this country. Their foundation and the very root

0:22:46.480 --> 0:22:49.679
<v Speaker 3>of how they conduct their business is based on a

0:22:49.800 --> 0:22:53.560
<v Speaker 3>very very racist, white supremacist foundation.

0:22:55.440 --> 0:22:58.480
<v Speaker 1>I don't think anybody could have said it better than that.