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Speaker 1: Hello the Internet, and welcome to this episode of The

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Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from

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Speaker 1: this week, all edited together into one NonStop infotainment laugh stravaganza. Yeah, so,

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Speaker 1: without further ado, here is the Weekly Zeitgeist. Miles. We

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Speaker 1: are thrilled to that voice saying no buns. His famous

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Speaker 1: catchphrase is one of our favorite guests, a very funny comedian,

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Speaker 1: the host of the podcast The Frontcast, Pod Yourself with Gun,

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Speaker 1: Pod Yourself, The Wire, and his latest podcast, Bad Husbara,

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Speaker 1: which happens to be the most moral podcast in existence

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Speaker 1: and of all time. Please welcome one of the funniest

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Speaker 1: people doing it anywhere.

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Speaker 2: It's Matt leeb a tend Baby Francesca and Matt Lee

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Speaker 2: got a baby whoa.

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Speaker 3: Leafter she came from ball? What's U?

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Speaker 4: Wow?

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Speaker 1: That wasn't that was your birth announcement?

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Speaker 2: Yeah, that's how I announced to everyone that my baby

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Speaker 2: was born and she came from my balls.

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Speaker 5: Like, thanks, we didn't we know in case people were like,

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Speaker 5: cause you wanted to know?

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Speaker 3: Is that your baby?

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Speaker 2: Yeah?

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Speaker 1: From your ball?

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Speaker 2: Yeah, from both from my ball one ball single, yeah,

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Speaker 2: although I mean it's only one sperm, so brilliant only

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Speaker 2: came from one burn.

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Speaker 1: One ball, one burn, Yeah, one of the balls.

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Speaker 3: You never know left nut or right nut. That's the

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Speaker 3: thing about it.

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Speaker 5: It's it's like, uh, you know the way if you're

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Speaker 5: left handed or right handed, that's how you know which ball.

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Speaker 3: That's how you know. It's like a firing squad.

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Speaker 2: You know, everyone shoots, but no one knows who's actually

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Speaker 2: got a real bullet and who's got a ball right.

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Speaker 1: And that is what I used to when I was

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Speaker 1: a bully. Instead of saying head er gut, I would

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Speaker 1: say left nutter, right nut?

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Speaker 3: Which one do you want me to just when I

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Speaker 3: was a bully.

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Speaker 1: When I was gut. You know, I was a big

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Speaker 1: time bully man.

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Speaker 5: But yeah, yeah, I'd be like, which shoe lace do

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Speaker 5: you want? Untied loser and bully sick bully ship I

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Speaker 5: was doing.

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Speaker 3: It's like good will hunting.

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Speaker 2: He's like, yeah, yeah, Jack O'Brien made me choose the

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Speaker 2: ranch at a belt.

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Speaker 3: I said both because fuck him. That's why you.

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Speaker 1: Know, I said, flip both my nuts.

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Speaker 2: Yeah, flick both my nuts. I wish I could. I

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Speaker 2: can't really do the act.

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Speaker 1: No, that was perfect. Yeah, all right, and we're.

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Speaker 2: Gonna be you're gonna be reading Gordon Wood, regagitating Gordon Wood.

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Speaker 3: You know, Yeah, how do you like damn apples?

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Speaker 5: All right?

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Speaker 1: When you're gonna read Zin and it's gonna blow your

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Speaker 1: hair back and it's like everybody's rich and by okay

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Speaker 1: not everyone?

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Speaker 3: Hey, mat what what up?

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Speaker 5: Though?

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Speaker 1: It's great to have you.

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Speaker 2: I'm so excited to be back. I love you guys,

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Speaker 2: you know. I love love talking to you guys about stuff.

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Speaker 1: Yeah, and we're going to talk to you about your podcast.

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Speaker 3: Okay, okay, yeah.

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Speaker 5: Okay the stadium at the moment.

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Speaker 3: Yeah, what is it?

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Speaker 1: That's that's the only question I've got written down?

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Speaker 3: Yeah, what is it?

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Speaker 1: What does that mean?

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Speaker 5: And is it bad?

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Speaker 1: I mean your title says it, but is it like

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Speaker 1: bad like the Michael Jackson album title? Yeah?

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Speaker 3: Is it bad? That means good?

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Speaker 5: Imagine redo that album cover is bebing it in Yahoo

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Speaker 5: with the.

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Speaker 1: Changes that what I'm.

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Speaker 5: Going to make that on my phone right now.

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Speaker 1: Was that a miss at the time or were people like,

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Speaker 1: all right, let's see where he's going with what's that? Yeah?

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Speaker 5: I just remember as a kid, I was so stoked

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Speaker 5: because I was like, yo, need to like it?

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Speaker 1: Fulled my assi yeah, I yes, this is the most

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Speaker 1: I've ever liked an album. Is how much I like

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Speaker 1: that album? When it dropped, I could name.

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Speaker 5: I'm trying to think of what were the other good

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Speaker 5: songs on that album, because I think I.

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Speaker 1: Put on a concert of that in my neighborhood, just

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Speaker 1: me and my friend lip synking two songs that we

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Speaker 1: didn't really know the words.

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Speaker 2: Are you ever bought Michael Jackson album before? So I

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Speaker 2: don't know what his albums are all the way through.

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Speaker 2: I only know, like you know, the hits, but there's

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Speaker 2: so many hits that it's like.

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Speaker 5: Oh yeah this, yeah, okay, because I'm definitely I'm like, yeah, yeah, yeah,

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Speaker 5: I know the way you make me feel. That's smooth

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Speaker 5: criminal leave Me Alone Alone? That video was wild, dude.

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Speaker 1: I thought that was a dangerous leave me alone, the

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Speaker 1: one where he's like going, he's on the rye.

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Speaker 5: It's on the bad remastered, I'm looking at the bad.

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Speaker 5: I thought it was too but that was off dangerous

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Speaker 5: anyway off the walls. Also, any what.

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Speaker 1: Is something from your search history that's revealing about who

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Speaker 1: you are?

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Speaker 5: You know?

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Speaker 4: What is it my search? I could I was like

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Speaker 4: trying to go through all my Safaris, and I was like,

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Speaker 4: what the fuck I've been doing shit, I haven't been

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Speaker 4: researching anything, but I did. Last week during the DNC,

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Speaker 4: I googled Kamala's dad because I was like, because everybody

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Speaker 4: talks about I don't know if they did anything on

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Speaker 4: her dad. I don't know if I missed it.

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Speaker 5: I feel like they he was very I don't. I

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Speaker 5: don't feel like he wasn't mentioned.

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Speaker 4: No, he wasn't mentioned from what I saw, and I'm

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Speaker 4: pretty sure I watched most of it, and and they

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Speaker 4: do the whole like it's too bad her mother won't

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Speaker 4: be here because she's dead. Make she rest in peace.

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Speaker 4: But I googled the dad because I was like, what

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Speaker 4: the fuck? You know, what's his deal? He's still alive,

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Speaker 4: like do we not? He's not getting a shout out?

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Speaker 5: And oh no, she did mention him in her speech.

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Speaker 4: Actually, but I'm saying, like a background, yeah, you know.

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Speaker 5: Like a profile, Yeah, sure, sure, I think her.

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Speaker 4: I think that moment when she mentioned him is when

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Speaker 4: I was like, let me google this motherfucker.

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Speaker 5: Because I was dead like, no he's not.

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Speaker 4: Yes, So I was intrigued. And what was funny to

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Speaker 4: me is that both her dad and Obama's dad are

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Speaker 4: both like economics whizzes, and I just found it very interesting,

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Speaker 4: and because I mean, they didn't really talk about they

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Speaker 4: don't really talk about these deadbeat dads, and these guys

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Speaker 4: aren't deadbeats at all. They're fucking intelligent. And the reason

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Speaker 4: that these these politicians are thriving because they got that

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Speaker 4: weird math brain. And I just I just found him

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Speaker 4: interesting here at Stanford, and that's that's that's what I

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Speaker 4: googled recently.

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Speaker 1: He's a emist economist and emeritus. I'm so smart, I

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Speaker 1: don't know how to pronounce that professor emeritus professor at

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Speaker 1: Stanford University, who is, of course, and I'm not reading

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Speaker 1: this off of Wikipedia, known for applying post Kynesian ideas

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Speaker 1: to development economics, so that that actually placed him for me.

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Speaker 1: I was like, Oh, he's that Donald Harris. He's the

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Speaker 1: one who's for applying post ideas to development economics. I

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Speaker 1: always get him confused with a different economist who applies

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Speaker 1: pre Kynsian ideas to development economics. That's cool, Yeah, I

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Speaker 1: feel like I don't I don't know why he's not

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Speaker 1: a bigger part of the picture. But that's that's a

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Speaker 1: cool dad to have something.

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Speaker 4: Yeah, there obviously is something contentious, but I definitely was

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Speaker 4: impressed by what I did see about him, and I

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Speaker 4: was like, yeah, he's probably an aggressive piece of ship,

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Speaker 4: like most dads.

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Speaker 1: Too much, just way too much.

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Speaker 4: Yeah, to too logical to the point of, you know,

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Speaker 4: he's dead inside. That's that's how I which explains a

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Speaker 4: lot about her personality.

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Speaker 1: He's an economist, and like economists have been such bitches

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Speaker 1: about her economic policy, like they've been like price controls, Yeah, okay,

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Speaker 1: let the market decide around here. It's like, how's that

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Speaker 1: working out for you? Yeah, exactly, And that's why we

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Speaker 1: have so many of these fucking problems. So maybe that's it.

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Speaker 1: Maybe it's just one of those well, actually, guys, that

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Speaker 1: probably is. Yeah. What is something you think is underrated?

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Speaker 6: Underrated? Yeah, probably said this before, but I really think

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Speaker 6: getting older. I think aging is very underrated. Because I'm

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Speaker 6: trying to tell you, like day parties make great. You know,

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Speaker 6: started three, you home by seven, or is over by seven?

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Speaker 6: I'm in bed by nine, you sleeping more like the

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Speaker 6: day you have a day the next day. I feel

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Speaker 6: like you could decide, you know, when you've grown you

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Speaker 6: could be like, you know what, I'm not gonna drink today.

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Speaker 6: Why because I have foresight. I know that tomorrow. Do

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Speaker 6: you know what I'm saying, I am going to regret

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Speaker 6: it and I am going to make a decision. You

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Speaker 6: get that when you're older. I found I think maybe

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Speaker 6: three years ago was the complete like death of fomo,

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Speaker 6: like I stopped having. I was like, na, so for you, like, no,

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Speaker 6: it's cool, like enjoy yourself. I am fine. Somebody asked

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Speaker 6: me recently, like about an artist that I've known forever

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Speaker 6: that does you know, pretty similar stuff And they was like, Yo,

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Speaker 6: why have y'all Why are y'all not engaged in any

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Speaker 6: sort of civil war? Like because he's doing all the

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Speaker 6: stuff that you do. And I was like, literally, the

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Speaker 6: thought has never crossed my mind. You know what I'm saying,

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Speaker 6: because I'm like, because that's the homie and I like

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Speaker 6: him and he does his thing and I don't and

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Speaker 6: I do. What do you like?

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Speaker 5: That's a weird move for somebody to be like, hey man,

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Speaker 5: how can we not get in his ass?

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Speaker 1: Bro was like what why yo?

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Speaker 5: Fuck him? Well?

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Speaker 6: I was like what, No, he's dope, Like what are

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Speaker 6: you talking about?

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Speaker 5: Yeah?

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Speaker 6: But like it was like realizing that like oh that, oh,

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Speaker 6: I guess that comes with age, Like I'm supposed to

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Speaker 6: be I'm supposed to be jealous, Like I'm supposed to

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Speaker 6: come for his spot, he's supposed to be coming from mine,

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Speaker 6: I guess, but I'm.

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Speaker 5: Like but not such a like yeah, but like with age, right,

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Speaker 5: you get you kind of lose that sort of zero

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Speaker 5: sum game mentality and like and then you sort of philosophically,

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Speaker 5: I definitely had to shift to like from a scarcity

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Speaker 5: mentality to an abundance mentality to use them like hokey

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Speaker 5: you know, the woo woo type shit, but truly like

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Speaker 5: if you believe everything is so scarce, like you're gonna

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Speaker 5: be in a very defensive position all the time. And

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Speaker 5: but truly, like they're the resources are out there for

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Speaker 5: many things. And I see that that manifests with people

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Speaker 5: in a lot of different ways, like where how people

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Speaker 5: respond to certain things where they believe things are super

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Speaker 5: scarce or there is an abundance of things that we

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Speaker 5: can share or that everyone can win and shit like.

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Speaker 6: Yeah, the amount of times I'll be having like coming

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Speaker 6: up that now it's so obvious to me, but having

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Speaker 6: to remind myself that people have more than one album

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Speaker 6: downloaded on their phone. It's not single file. You can

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Speaker 6: listen to multiple artists. Like, just because they listening to

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Speaker 6: this person, don't mean they not go listen to you.

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Speaker 5: What are you talking about? You know what I did?

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Speaker 1: This friend come to you in the form of a

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Speaker 1: serpent and whisper it in your ear with elongated asses.

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Speaker 5: Right, you shouldn't trust them.

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Speaker 6: Speaking of which, one of my homeboys sitting another homeboy

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Speaker 6: sent me a meme. It was a picture of like

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Speaker 6: Adam being handed fruit and wrapped around a serpent, and

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Speaker 6: the guy was like, yo, studies showed that one hundred

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Speaker 6: percent of men would accept food from a naked woman.

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Speaker 6: I'm like, yeah, Adam's defense.

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Speaker 1: Yeah, Adams defense.

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Speaker 5: Yeah.

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Speaker 1: I mean we we we firmly blame me on this podcast.

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Speaker 5: I mean that was the whole point of the story.

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Speaker 6: Yeah gave me, Yeah, I gave you a rib.

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Speaker 5: Yeah. See, that's why I don't share my ribs with

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Speaker 5: you anymore. You see what I'm saying.

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Speaker 1: I have a rib, and yet look what she did

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Speaker 1: with that rib you know.

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Speaker 5: Yeah, yeah, left a bunch of meat on the bone

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Speaker 5: and everything. Am I right? Am I right?

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Speaker 1: What is something you think is overrated?

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Speaker 7: I'm gonna stay with my food theme. I actually think

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Speaker 7: we've gotten to the point where brunches is overrated. I think, yeah,

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Speaker 7: what do you like? Everybody's doing brunch every weekend, and

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Speaker 7: it's getting the point where it's just like flat, flabby

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Speaker 7: breakfast food at a different time of day, and I'm

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Speaker 7: no longer excited by it. I'm no longer inspired.

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Speaker 5: I think brunch like loses its appeal the earlier I

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Speaker 5: wake up, Like when I was like younger and like

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Speaker 5: like you know, going out and shit like that, and

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Speaker 5: I'd wake up lane, I'm like, yeah, brunch, but yeah,

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Speaker 5: let's eat at one that's breakfast. But now I'm like

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Speaker 5: not already eight or it's depends on, you know, if

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Speaker 5: there's an occasion, but yeah, I get that. I guess

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Speaker 5: is that is that maybe one of our latest food

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Speaker 5: fads that's going on you now?

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Speaker 7: It is a brunch Oh it'll never go away?

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Speaker 6: Yeah maybe I maybe.

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Speaker 7: Actually the right answer to how to live one's life

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Speaker 7: is to only have brunch and tea. I mean maybe breakfast,

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Speaker 7: lunch and dinner.

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Speaker 1: Or two meals. Yeah yeah, yeah, yeah, two meals. Give

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Speaker 1: me a brunch, Give me a.

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Speaker 5: Tea, Give me that tea.

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Speaker 1: I mean, does the enthusiasm for tea just like make

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Speaker 1: you less likely to have anything at dinner? I feel

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Speaker 1: like dinner becomes an afterthought at that point at dinner,

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Speaker 1: spread for tea. Okay, I like that. Yeah, brunch is

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Speaker 1: not a natural time for me to be hungry. If

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Speaker 1: I've eaten breakfast, then like brunch is not real.

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Speaker 5: Or you do the thing where you wake up and like, fuck, dude,

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Speaker 5: brunch is in four hours and you're like, I don't

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Speaker 5: want to like go and not eat anything. So then

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Speaker 5: you're like walking this tightrope of not eating before or

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Speaker 5: showing up hangar and you're like this showing up mean.

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Speaker 1: Yeah, yeah, all right, Uh, let's take a quick break

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Speaker 1: and we'll be right back.

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Speaker 6: And we're back.

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Speaker 1: We're back, We're back. We are The poles continue to

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Speaker 1: seem like good news for the Democratic Party.

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Speaker 5: Yeah, And when.

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Speaker 1: It comes to Republicans response to that, it is oftentimes

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Speaker 1: to get with the fuckery, make with the fuckery, make

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Speaker 1: it with the voter fuckery now, not fucking yesterday, fucking now,

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Speaker 1: I need a fuckery on my desk yesterday.

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Speaker 5: So yeah, every state, Like you know, there's like you're

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Speaker 5: i mean, not that one is going hand in hand,

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Speaker 5: but clearly the Republican strategy going in to this is

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Speaker 5: to do every single squeeze the margins as much as possible,

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Speaker 5: even if it's illegal, to try and win the election,

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Speaker 5: and also tell all your voters that the election might

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Speaker 5: be stolen. So get ready to brace yourselves for some

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Speaker 5: fuckery on that end. But at the same time, a

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Speaker 5: lot of races are getting more competitive. Yeah, and you're

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Speaker 5: seeing I mean, not that their reactions happening one in

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Speaker 5: the other, but it's it's it makes sense that the

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Speaker 5: fuckery is intensifying in places where races are getting, you know,

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Speaker 5: much more competitive, and even places where they're not, just

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Speaker 5: to ensure that certain states go red. So like in Texas, right,

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Speaker 5: Governor Abbot announced on Monday that like, roughly a million

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Speaker 5: voters were purged from the voter roles. Say's like to

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Speaker 5: quote stop illegal voting. Many experts were quick to point

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Speaker 5: out that, like, there are already routine processes in place

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Speaker 5: that already remove people from voter roles, like whether they've

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Speaker 5: died or if they've moved out of state or whatever.

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Speaker 5: But there are a lot of people are also saying that

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Speaker 5: this is merely just to stoke fears of a stolen election.

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Speaker 5: That's why government. Abbott is out there saying like I

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Speaker 5: had to get a million people, these people are voting illegally.

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Speaker 5: He also claimed he had to remove some voters that

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Speaker 5: weren't citizens, but that's hard to believe given a scandal

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Speaker 5: that happened in twenty nineteen when the then Secretary of

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Speaker 5: State made similar claims about voters who turned out to

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Speaker 5: just be naturalized citizens they weren't illegally voting or non citizens,

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Speaker 5: and then they had to resign over the bullshit.

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Speaker 1: The racist attorney general had to resign. Yeah no, this

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Speaker 1: is secretary Secretary of State.

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Speaker 5: Okay, yeah, yeah, yeah, for doing for going on in

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Speaker 5: and like these people are illegal and they're like, no,

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Speaker 5: they're not, and what the fuck are you doing? Like

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Speaker 5: and they got sanctioned all kinds of shit in the

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Speaker 5: Texas Attorney General Ken Paxton was also this week behind

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Speaker 5: numerous raids targeting Latino voters in Texas. From an article quote,

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Speaker 5: at six in the morning on August twentieth, nine officers,

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Speaker 5: some with guns, showed up at the home of a

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Speaker 5: activist breaking down a door to raid the home of

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Speaker 5: Manuel Medina, the chair of the Tehano Democrats. All across

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Speaker 5: the strait, apparently police were raiding the homes of Hispanic voters.

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Speaker 5: The head of Texas is l u La c Gabrielle Rosales,

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Speaker 5: who was on TV said recently, this is pure intimidation.

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Speaker 5: When asked for an explanation, Ken Paxton said, without any irony, quote,

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Speaker 5: secure elections are the cornerstone of our republic. So we're

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Speaker 5: talking about the legal voter intimidation, getting people to have

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Speaker 5: to lawyer up, drain their funds, like all this kind

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Speaker 5: of bullshit because these are these are people who are

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Speaker 5: running groups that are helping people get registered, you know,

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Speaker 5: and just doing the very just the basics of supposed democracy.

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Speaker 5: But they are being you know, run up on by police.

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Speaker 5: This is the I mean a few things.

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Speaker 6: First of all, I know, personally a cup like about

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Speaker 6: four friends that was like, yeah, all of a sudden,

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Speaker 6: I'm not registered. It was like like that just was

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Speaker 6: like I don't know what just happened, but apparently I'm

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Speaker 6: not registered no more. And that live in Texas that

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Speaker 6: are like, I don't know more than four worth I

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Speaker 6: don't know what they talking about, you know what I'm saying, right,

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Speaker 6: But like, these are the moments that make me wish

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Speaker 6: that I in some ways worked for a campaign to

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Speaker 6: like write like to do like copy, like just to

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Speaker 6: write copy for it. Because this would be if I

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Speaker 6: were in the if I were running helping a democratic

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Speaker 6: like election in Texas, this would be such a layup

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Speaker 6: to like, you know what I'm saying, it just be like, Okay,

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Speaker 6: I guess you know this is this is the American way.

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Speaker 6: So you figure rather than having some points, you just

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Speaker 6: gonna you just gonna beat.

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Speaker 5: Us up for it.

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Speaker 6: Like that's right, that's what you're gonna do, right now,

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Speaker 6: That's that's your defense.

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Speaker 5: Your defense is Yeah, it.

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Speaker 6: Just seems like like that's all you have to do

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Speaker 6: if you're running for yours. Like I don't know, guys,

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Speaker 6: like I came here to give you a reason why

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Speaker 6: you should vote for me, and that's what I thought

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Speaker 6: we was doing.

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Speaker 5: And they're kicking down my door.

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Speaker 1: So waym if something happened to your door yet, know

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Speaker 1: you already kicked it down, it already happened. That threat

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Speaker 1: actually doesn't work.

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Speaker 6: I'm like, yo, I mean, y'all really do believe in

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Speaker 6: like seventeen seventy six, because like that's the way we

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Speaker 6: used to vote, was like you know, a mob would

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Speaker 6: come to your house and drag you out and be like,

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Speaker 6: you know, vote for the Whigs or we burn your tavern.

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Speaker 6: Like that's used to be how we did it. I

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Speaker 6: thought we was past this, you know.

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Speaker 5: No, no, but again, and this is also part of

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Speaker 5: like Ken Paxton's legacy as attorney general because if you

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Speaker 5: remember in twenty twenty, there was this whole thing. He

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Speaker 5: prevented people in Harris County, where Houston is and a

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Speaker 5: lot of Democratic voters are, from using mail in ballots

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Speaker 5: when the pandemic was raging and people were like waiting

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Speaker 5: hours in line because again they're hoping like yeah, well,

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Speaker 5: you know, force people to wait in line and maybe

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Speaker 5: this will they won't they won't actually vote, or maybe

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Speaker 5: that can suppress the numbers. And he was even on

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Speaker 5: Steve Bannon's podcast recently saying like he was like taking

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Speaker 5: credit for Texas being read because he did that. He's like,

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Speaker 5: if I didn't do that, those like some hundred thousand votes,

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Speaker 5: you know, Trump may have Trump made the outcome. May

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Speaker 5: he may have lost Texas so you never know, that

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Speaker 5: could just be him, you know, obviously pumping his own

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Speaker 5: ship up, but he's proud of the fact that he

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Speaker 5: does that kind of shit.

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Speaker 6: You could just say exactly, you could just say, okay,

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Speaker 6: so worse. So what you say is and correct me

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Speaker 6: if I'm wrong. I don't want to put words in

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Speaker 6: your mouth. What you say is if people vote, you're

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Speaker 6: gonna lose. Yeah, right, right, So the way I win.

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Speaker 5: So the way I win is I have to make

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Speaker 5: sure that they don't vote.

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Speaker 1: You know what I mean, we call them illegal when

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Speaker 1: you say people, I'm gonna be a little more specific.

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Speaker 5: Oh but they're but but they're not illegal. But we

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Speaker 5: have to say that, so people we get to say,

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Speaker 5: clutch their pearls when I do say that.

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Speaker 6: Didn't they got it?

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Speaker 1: Didn't they like stop except they had to like shut down.

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Speaker 1: They didn't have to, but they chose to shut down

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Speaker 1: a bunch of like drive through mail in ballot centers.

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Speaker 5: Yeah, and I feel like they had to get it

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Speaker 5: like an injunction to like try and keep them open.

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Speaker 1: It was as it was always breaking down along like oh,

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Speaker 1: what wouldn't you know it? The six conservative Supreme Court

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Speaker 1: justices are all in favor of like making it harder

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Speaker 1: to vote.

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Speaker 5: You know, yeah, yeah, so mean, I mean that's the

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Speaker 5: whole project for them, right, yeah, the political project is

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Speaker 5: just too obviously just like they don't have the numbers,

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Speaker 5: so just so mask off from voting.

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Speaker 1: Yeah, yeah, it's some mask off. But because Biden one,

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Speaker 1: I feel like we kind of memory hold it. But

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Speaker 1: like yeah, yeah, just like like right before Amy Cony

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Speaker 1: Barrett was confirmed, the Supreme Court handed down the decision

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Speaker 1: that prevented ballots that arrive after election day in the

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Speaker 1: state of Wisconsin from being counted even if they were,

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Speaker 1: like they just changed the rule by timing of it

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Speaker 1: like right before election day.

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Speaker 6: Yeah, just so that's just how like how do y'all say, Like,

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Speaker 6: I just feel like I don't know how you're saying

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Speaker 6: this with a straight face, saying, yeah, we less people

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Speaker 6: to vote and we need to make it harder for

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Speaker 6: you because it it's harder and it's less of y'all

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Speaker 6: than we're gonna.

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Speaker 1: Win, exactly, And that's been the game plan.

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Speaker 5: And it doesn't matter. I mean, I think the writing's

438
00:22:11,160 --> 00:22:13,359
Speaker 5: been on the wall for a long time. That's why before,

439
00:22:13,480 --> 00:22:15,439
Speaker 5: like in the nineties, they were so panicks because they

440
00:22:15,480 --> 00:22:17,800
Speaker 5: saw how the demographics were changing in the United States.

441
00:22:17,840 --> 00:22:20,000
Speaker 5: They're like, wait, there's gonna be a lot of brown

442
00:22:20,160 --> 00:22:24,600
Speaker 5: faces in this country that we can't contend with their numbers.

443
00:22:24,640 --> 00:22:26,960
Speaker 5: So we'll have to create some kind of moral panic

444
00:22:26,960 --> 00:22:30,560
Speaker 5: about immigration or aborse whatever it is to try and

445
00:22:30,640 --> 00:22:34,480
Speaker 5: like to slow the you know, changing demographics of the country. So,

446
00:22:34,600 --> 00:22:37,399
Speaker 5: like in other states, right North Carolina, the GOP is

447
00:22:37,480 --> 00:22:39,600
Speaker 5: asking a court to purge over two hundred and fifty

448
00:22:39,640 --> 00:22:43,159
Speaker 5: thousand voters because the voter registration database does not have

449
00:22:43,240 --> 00:22:46,919
Speaker 5: a driver's license or social Security number linked to a

450
00:22:46,960 --> 00:22:50,280
Speaker 5: person in their database. So this again, this, and so

451
00:22:50,320 --> 00:22:52,840
Speaker 5: they're asking a court to do this while we're like,

452
00:22:52,880 --> 00:22:55,840
Speaker 5: you know, very very close to election day. But it's

453
00:22:55,840 --> 00:22:58,480
Speaker 5: all bullshit because as people who work on like the

454
00:22:58,480 --> 00:23:00,719
Speaker 5: actual election boards in the state point out that, like,

455
00:23:00,800 --> 00:23:03,399
Speaker 5: if a person doesn't provide those things when they register,

456
00:23:03,800 --> 00:23:06,560
Speaker 5: they would have to show ID when they go to vote.

457
00:23:06,560 --> 00:23:08,400
Speaker 5: It's not just like all right, they'll take your word

458
00:23:08,440 --> 00:23:12,040
Speaker 5: on it. Yeah, they're protections in place to ensure because

459
00:23:12,040 --> 00:23:15,000
Speaker 5: this is all bullshit. There's no This idea that people

460
00:23:15,040 --> 00:23:18,399
Speaker 5: are legally voting is fucking bullshit. But they have to

461
00:23:18,520 --> 00:23:21,720
Speaker 5: keep seeding this story over and over to keep people's

462
00:23:21,720 --> 00:23:24,640
Speaker 5: suspicions up, because again, like we said, it's the only

463
00:23:24,680 --> 00:23:27,879
Speaker 5: way to kind of have the energetic foundation to do

464
00:23:27,920 --> 00:23:29,120
Speaker 5: something pretty fucking up.

465
00:23:29,280 --> 00:23:31,080
Speaker 6: You know, it's just so years because I'd be like,

466
00:23:31,160 --> 00:23:35,480
Speaker 6: y'all they never y'allly never voted, right, y'all y'all don't remember,

467
00:23:35,920 --> 00:23:38,960
Speaker 6: you know, like obviously because this is the year of

468
00:23:38,960 --> 00:23:42,760
Speaker 6: our Lord, twenty twenty four, I'd vote early because why

469
00:23:42,800 --> 00:23:45,120
Speaker 6: would why would not it come in to mail. I'm

470
00:23:45,160 --> 00:23:47,880
Speaker 6: just gonna do it. But when you did have to go,

471
00:23:48,680 --> 00:23:53,600
Speaker 6: it just of course I showed them d like you don't, Yeah,

472
00:23:53,800 --> 00:23:56,280
Speaker 6: you don't, you have to show the ID like I

473
00:23:56,359 --> 00:23:58,760
Speaker 6: just don't understand I exactly.

474
00:23:58,840 --> 00:24:01,080
Speaker 5: But again, it's it's it's meant, and that's why most

475
00:24:01,080 --> 00:24:03,679
Speaker 5: people don't also because they're also bought in on the

476
00:24:03,720 --> 00:24:06,399
Speaker 5: same thinking. They don't care. They just like, yeah, that

477
00:24:06,440 --> 00:24:09,119
Speaker 5: does happen, and they completely ignore their own experience and

478
00:24:09,200 --> 00:24:11,560
Speaker 5: just sort of be like, yep, whatever the TV is

479
00:24:11,560 --> 00:24:15,159
Speaker 5: telling me. And then yesterday Charlie Cook, the god of

480
00:24:15,240 --> 00:24:19,359
Speaker 5: election forecasting, shifted North Carolina to now sort of be

481
00:24:19,440 --> 00:24:22,760
Speaker 5: like a plus minus zero to now favoring Harris over Trump.

482
00:24:22,880 --> 00:24:25,919
Speaker 5: So again they see what's happening elsewhere. Similar efforts are

483
00:24:25,960 --> 00:24:29,320
Speaker 5: underway in swing states like Arizona and Wisconsin, and all

484
00:24:29,359 --> 00:24:32,840
Speaker 5: of this is happening while like voter registration data is

485
00:24:32,880 --> 00:24:37,360
Speaker 5: showing that the registrations are surging compared to twenty twenty,

486
00:24:37,640 --> 00:24:41,960
Speaker 5: like one hundred and seventy five percent increase in voter

487
00:24:42,040 --> 00:24:45,359
Speaker 5: registration for young Black women, one hundred almost one hundred

488
00:24:45,359 --> 00:24:48,119
Speaker 5: and fifty percent increase in young Latina voters.

489
00:24:48,320 --> 00:24:52,720
Speaker 1: I think this is this year, this July twenty first

490
00:24:53,000 --> 00:24:57,080
Speaker 1: versus twenty twenty, this same period, who was registering, who

491
00:24:57,160 --> 00:24:57,720
Speaker 1: is registering?

492
00:24:58,160 --> 00:25:01,560
Speaker 5: What numbers? And ninety eight percent of Black women and

493
00:25:01,640 --> 00:25:03,879
Speaker 5: ninety eight percent increase in Black women that have registered

494
00:25:03,920 --> 00:25:07,000
Speaker 5: to voters, an overall eighty five percent increase in Black

495
00:25:07,040 --> 00:25:10,400
Speaker 5: American voters and eighty three percent increase among young women.

496
00:25:10,680 --> 00:25:13,680
Speaker 5: So there's just a ton They're just like, fuck, these

497
00:25:13,680 --> 00:25:19,639
Speaker 5: aren't these aren't the people standing? Yeah? Yo, again a

498
00:25:19,720 --> 00:25:22,600
Speaker 5: reminder make sure that you are registered to vote. If

499
00:25:22,600 --> 00:25:24,960
Speaker 5: that's you know, if you live in the state where

500
00:25:25,040 --> 00:25:28,000
Speaker 5: shit is all fucked up and you're planning on voting,

501
00:25:28,200 --> 00:25:31,000
Speaker 5: you just make sure that they haven't purged her.

502
00:25:31,080 --> 00:25:32,600
Speaker 1: And we probably don't have to tell you this, but

503
00:25:32,720 --> 00:25:36,200
Speaker 1: definitely do keep an original copy of your birth certificate

504
00:25:36,200 --> 00:25:37,040
Speaker 1: on you at all times.

505
00:25:37,600 --> 00:25:39,760
Speaker 5: I have on't folded up my wall, keep this.

506
00:25:40,200 --> 00:25:43,040
Speaker 1: I keep that thing on me and by that of course.

507
00:25:43,840 --> 00:25:48,359
Speaker 5: Original certificate. Absolutely. Yeah, and it's all fucking all the

508
00:25:48,400 --> 00:25:50,880
Speaker 5: ink is faded, you know, like a receipt just looks

509
00:25:50,920 --> 00:25:51,720
Speaker 5: blank after.

510
00:25:51,520 --> 00:25:54,440
Speaker 1: A while, Like my vaccine card. After a little while,

511
00:25:54,800 --> 00:25:58,440
Speaker 1: that shit was blank. Yeah, here's my vaccine card.

512
00:25:58,640 --> 00:26:00,399
Speaker 5: Oh yeah, when they put the little sticker on of

513
00:26:00,440 --> 00:26:04,640
Speaker 5: like like dose you got there, like sir, like this.

514
00:26:04,600 --> 00:26:05,880
Speaker 6: Look man, it's the card bro.

515
00:26:06,080 --> 00:26:08,720
Speaker 5: Yeah yeah, yeah, yeah, the ink sucks, you know.

516
00:26:09,960 --> 00:26:14,600
Speaker 1: In yeah, those numbers are very encouraging, and like the

517
00:26:14,720 --> 00:26:17,960
Speaker 1: people who pay attention to this ship seem to be

518
00:26:18,040 --> 00:26:21,320
Speaker 1: like this is really bad for Donald Trump.

519
00:26:21,520 --> 00:26:23,800
Speaker 6: Yeah, it's crazy to watch even some of the some

520
00:26:23,840 --> 00:26:27,480
Speaker 6: of his like just that weird universe still kind of

521
00:26:27,480 --> 00:26:30,359
Speaker 6: be like hey, bro, like I don't know if y'all know,

522
00:26:30,480 --> 00:26:35,360
Speaker 6: but we're finna lose. Uh you'll notice it. I don't

523
00:26:35,400 --> 00:26:37,480
Speaker 6: know what the hell you talk about with You need

524
00:26:37,480 --> 00:26:39,920
Speaker 6: to stop talking about that and start talking about this,

525
00:26:40,119 --> 00:26:42,600
Speaker 6: because like just even then being like.

526
00:26:43,040 --> 00:26:45,400
Speaker 5: To that point and couldiers like, yeah, Trump, maybe because

527
00:26:45,400 --> 00:26:46,679
Speaker 5: you won't shut the fuck up.

528
00:26:46,960 --> 00:26:47,880
Speaker 3: Yes, that's what.

529
00:26:47,920 --> 00:26:49,920
Speaker 5: The wor the banks she said that shit about it.

530
00:26:50,440 --> 00:26:52,520
Speaker 5: That's why they want the mics hot because you don't

531
00:26:52,520 --> 00:26:54,960
Speaker 5: know how to shut the fuck up, yo.

532
00:26:55,640 --> 00:26:59,440
Speaker 6: Like listen, help me, help you. I do wonder though,

533
00:26:59,640 --> 00:27:03,880
Speaker 6: if I do wonder if if if JD. Finneget drew

534
00:27:03,920 --> 00:27:06,040
Speaker 6: bledsold out this mug like.

535
00:27:06,119 --> 00:27:10,760
Speaker 1: I'm replaced replaced by So I've been researching this because

536
00:27:10,800 --> 00:27:13,520
Speaker 1: that is a real fear for me because it feels

537
00:27:13,560 --> 00:27:17,680
Speaker 1: like the sort of big swing that could do something

538
00:27:17,760 --> 00:27:19,520
Speaker 1: like they need a big swing. They need a big

539
00:27:19,520 --> 00:27:22,879
Speaker 1: wing right now. And I think like, legally it is

540
00:27:22,960 --> 00:27:24,960
Speaker 1: too late to actually change.

541
00:27:24,680 --> 00:27:27,680
Speaker 5: The back okay, so I think August seventh or something,

542
00:27:28,200 --> 00:27:30,560
Speaker 5: the window closed back in early August.

543
00:27:30,600 --> 00:27:32,840
Speaker 6: I think he's gonna be like, we're gonna have a

544
00:27:32,840 --> 00:27:33,960
Speaker 6: three person.

545
00:27:36,240 --> 00:27:37,920
Speaker 5: He's gonna do all three. I'm gonna have them both.

546
00:27:37,920 --> 00:27:42,120
Speaker 5: I want both. Hey hop on the trizz tickets, Like, yo,

547
00:27:42,400 --> 00:27:45,280
Speaker 5: what is going on? But yeah, I don't. I think, yeah,

548
00:27:45,320 --> 00:27:48,280
Speaker 5: they they do need something like at this point he

549
00:27:48,359 --> 00:27:50,680
Speaker 5: needs to come out with like a new hairdoo or

550
00:27:50,720 --> 00:27:54,000
Speaker 5: something like a big wig or something. I don't know.

551
00:27:54,400 --> 00:27:56,640
Speaker 1: Just you don't think the Trump cards are gonna do it?

552
00:27:56,720 --> 00:27:57,760
Speaker 1: Are good? No?

553
00:27:57,760 --> 00:28:03,879
Speaker 5: No, he's like a face tattoo, like some shit, I

554
00:28:04,080 --> 00:28:04,880
Speaker 5: just figure out something.

555
00:28:05,400 --> 00:28:09,399
Speaker 1: Hey, amazing transition, Thank you prop because you know, he

556
00:28:09,600 --> 00:28:13,439
Speaker 1: knows that the assassination attempt like that was where it

557
00:28:13,520 --> 00:28:16,120
Speaker 1: kind of peaked for his campaign. Yeah, then he had

558
00:28:16,200 --> 00:28:19,480
Speaker 1: sort of a low energy convention right after that. It

559
00:28:19,520 --> 00:28:22,560
Speaker 1: was like the weekend after and he picked jd Vance

560
00:28:22,960 --> 00:28:25,199
Speaker 1: like right after it. It was just it just it

561
00:28:25,280 --> 00:28:29,280
Speaker 1: fell apart really quickly on him. And so he keeps

562
00:28:29,280 --> 00:28:33,359
Speaker 1: going back to the hits. You know, he's like a

563
00:28:33,480 --> 00:28:36,800
Speaker 1: you know, micro version of the macro trend of famous

564
00:28:36,800 --> 00:28:39,240
Speaker 1: people who just can't move on from the peak of

565
00:28:39,240 --> 00:28:42,520
Speaker 1: their fame. So Michael Jordan keeps wearing baggy boot cut

566
00:28:42,600 --> 00:28:46,360
Speaker 1: jeans like just you know, whether they're in style or not,

567
00:28:46,560 --> 00:28:49,880
Speaker 1: because you know, it's the nineties. Every everywhere he goes,

568
00:28:49,920 --> 00:28:50,760
Speaker 1: it's still the nineties.

569
00:28:50,760 --> 00:28:53,200
Speaker 5: Don't go He's Donald Trump is.

570
00:28:53,200 --> 00:28:57,400
Speaker 1: Stuck around the assassination. He opened his interview with Elon

571
00:28:57,520 --> 00:29:02,040
Speaker 1: Musk talking about that shit, and now he is making

572
00:29:02,040 --> 00:29:05,320
Speaker 1: it kind of a core part of his message by

573
00:29:05,440 --> 00:29:08,920
Speaker 1: saying in an interview with doctor Phil and he's also

574
00:29:09,000 --> 00:29:13,320
Speaker 1: like made reference to this in past speeches that the

575
00:29:13,360 --> 00:29:17,640
Speaker 1: assassination attempt against him, which somehow, by the way, only

576
00:29:17,680 --> 00:29:20,000
Speaker 1: happened last month, like that, Wow.

577
00:29:20,400 --> 00:29:23,120
Speaker 5: Yes, that was Oh that was July thirteenth or something.

578
00:29:22,960 --> 00:29:25,160
Speaker 1: That was mid July. Oh my god, not even the

579
00:29:25,200 --> 00:29:27,200
Speaker 1: beginning of July, like mid July.

580
00:29:28,280 --> 00:29:30,200
Speaker 6: I mean, it might as well be to Kennedy assassination

581
00:29:30,320 --> 00:29:33,560
Speaker 6: right now, so far away.

582
00:29:34,520 --> 00:29:39,600
Speaker 1: But he's saying that was actually the Assassination's assassination attempt

583
00:29:39,600 --> 00:29:44,080
Speaker 1: was actually Joe Biden and Kamala Harris's fault because they

584
00:29:44,080 --> 00:29:47,200
Speaker 1: weren't too interested in my health and safety, and they've

585
00:29:47,200 --> 00:29:50,320
Speaker 1: been making it very difficult, very very difficult to have

586
00:29:50,400 --> 00:29:54,640
Speaker 1: proper staffing in terms of Secret Service, which reportedly the

587
00:29:54,680 --> 00:29:57,160
Speaker 1: Secret Service did complain about a lack of personnel in

588
00:29:57,200 --> 00:30:01,360
Speaker 1: the past two years. But since the at Hack, agents

589
00:30:01,400 --> 00:30:05,120
Speaker 1: from the Biden detail have been diverted to Trump. So

590
00:30:05,160 --> 00:30:08,240
Speaker 1: he's like, here, man, you take him. He called him

591
00:30:08,240 --> 00:30:10,320
Speaker 1: immediately after in Troubles, like, oh my god. He was

592
00:30:10,320 --> 00:30:12,320
Speaker 1: so nice. He was like asking me how I was

593
00:30:12,400 --> 00:30:14,880
Speaker 1: and was complimenting how I like moved my head in

594
00:30:14,920 --> 00:30:17,160
Speaker 1: a way that avoided the shot. That was pretty cool.

595
00:30:18,640 --> 00:30:24,680
Speaker 1: And yeah, I mean, I think probably part of the

596
00:30:25,000 --> 00:30:29,600
Speaker 1: issue is that there's never been a ex president who

597
00:30:29,680 --> 00:30:35,040
Speaker 1: is as constantly in the public eye and as controversial

598
00:30:35,200 --> 00:30:37,080
Speaker 1: as this mother. I mean, there's never been a person

599
00:30:37,120 --> 00:30:39,680
Speaker 1: who's as controversial and as in the public eye for

600
00:30:39,760 --> 00:30:43,240
Speaker 1: as long as he's been. So, yeah, they had to

601
00:30:43,280 --> 00:30:47,040
Speaker 1: go outside of protocol and shift resources, which they did

602
00:30:47,160 --> 00:30:51,080
Speaker 1: after the assassination attempt. The Secret Service not great at

603
00:30:51,120 --> 00:30:53,040
Speaker 1: their job, it turns out in some cases.

604
00:30:53,200 --> 00:30:58,560
Speaker 5: Yeah, armed law enforcement not good at their job. Knows

605
00:30:58,600 --> 00:31:03,040
Speaker 5: at eleven that everywhere the thing that's while it's like

606
00:31:03,160 --> 00:31:05,920
Speaker 5: to your point, right, like most presidents, they fuck off.

607
00:31:06,000 --> 00:31:08,880
Speaker 5: They go to their layer because they know they got

608
00:31:08,880 --> 00:31:10,880
Speaker 5: away with it. They're like, no, bro, I did some

609
00:31:10,920 --> 00:31:13,440
Speaker 5: war crimes. Bro, just shut the bro. I don't exist.

610
00:31:13,600 --> 00:31:17,360
Speaker 5: Just don't talk about me. And I'm stingy. Yeah, I'm

611
00:31:17,360 --> 00:31:19,360
Speaker 5: buying an awquard for in Mexico, so I have a

612
00:31:19,400 --> 00:31:22,720
Speaker 5: bunch of clean water resources. I'm gonna paint my little paintings. Okay,

613
00:31:22,880 --> 00:31:26,600
Speaker 5: don't talk to me. I don't exist anymore. Forget about me. Nope,

614
00:31:26,720 --> 00:31:28,360
Speaker 5: don't look at me. You're looking at me.

615
00:31:28,680 --> 00:31:29,280
Speaker 1: You're looking at me.

616
00:31:30,600 --> 00:31:31,720
Speaker 5: I'm not here. I'm not here.

617
00:31:31,960 --> 00:31:33,600
Speaker 6: How much how much is it for me to come

618
00:31:33,640 --> 00:31:37,120
Speaker 6: speak for fifteen minutes? Okay? So the gross national product

619
00:31:37,160 --> 00:31:39,040
Speaker 6: of a small country word, I got you home?

620
00:31:39,120 --> 00:31:41,480
Speaker 5: Okay, Yeah, we're good. Wait hold on you. Oh Spotify

621
00:31:41,520 --> 00:31:43,280
Speaker 5: wants to give me a deal, yeah, to get out

622
00:31:43,320 --> 00:31:43,760
Speaker 5: the house.

623
00:31:44,120 --> 00:31:46,880
Speaker 6: Like I'm not getting I'm not getting out the house

624
00:31:47,440 --> 00:31:51,720
Speaker 6: unless it's the gross national product the Budapest.

625
00:31:51,000 --> 00:31:54,520
Speaker 1: Right, right, Like George W. Bush killed million, like over

626
00:31:54,560 --> 00:31:57,360
Speaker 1: a million people. Yeah, And I bet his secret service

627
00:31:57,400 --> 00:32:02,320
Speaker 1: detail is like a retired com Like it's like at

628
00:32:02,360 --> 00:32:05,480
Speaker 1: the end of like no Country for old men like that.

629
00:32:05,920 --> 00:32:08,960
Speaker 1: Who is with him is like a couple people you know,

630
00:32:09,480 --> 00:32:13,160
Speaker 1: like Trump? Yeah, Trump, Trump is a special case. He

631
00:32:13,240 --> 00:32:15,760
Speaker 1: also suggested, and this is one of the great times

632
00:32:15,760 --> 00:32:19,480
Speaker 1: when you can tell he's being fed information because it's

633
00:32:19,960 --> 00:32:22,960
Speaker 1: coming from like a different word set than.

634
00:32:22,800 --> 00:32:23,880
Speaker 5: He is working with.

635
00:32:24,720 --> 00:32:27,720
Speaker 1: He said that the would be assassin was inspired by

636
00:32:27,800 --> 00:32:35,160
Speaker 1: Democrats rhetoric, flaming it on JJ rhetoric. Right.

637
00:32:38,720 --> 00:32:40,640
Speaker 5: Yeah. I feel like it is like if you're like

638
00:32:40,680 --> 00:32:46,880
Speaker 5: a teacher grading a paper and you come across this vehetoric.

639
00:32:47,360 --> 00:32:52,080
Speaker 6: Hey, Donald, come here, rhetoric. Mean, yeah, just I'm just.

640
00:32:52,080 --> 00:32:57,720
Speaker 5: Gonna ask you, what is E D E R I

641
00:32:57,920 --> 00:32:59,560
Speaker 5: c K rhetoric rhetoric?

642
00:32:59,640 --> 00:33:02,400
Speaker 6: When I got it, my Otherest daughter was like a

643
00:33:02,440 --> 00:33:05,480
Speaker 6: sixth grader. She was it was very clear that, like

644
00:33:06,720 --> 00:33:09,240
Speaker 6: she's just not doing her homework. Like I'm like, so,

645
00:33:09,240 --> 00:33:11,640
Speaker 6: I'm trying to explain to my wife. I was like, baby,

646
00:33:11,760 --> 00:33:15,640
Speaker 6: she's just not doing it, Like it's not she's oh right, yeah,

647
00:33:15,720 --> 00:33:17,960
Speaker 6: not even She's just not doing it. I'm like I

648
00:33:18,280 --> 00:33:21,200
Speaker 6: And then so she's in the car and she goes

649
00:33:21,280 --> 00:33:23,640
Speaker 6: and my daughter from the backseat goes, yeah, I think

650
00:33:23,680 --> 00:33:27,000
Speaker 6: it's the curriculum. And then my wife was like yeah, yeah,

651
00:33:27,040 --> 00:33:29,720
Speaker 6: because my wife's a pad she's she's an educator. So

652
00:33:29,800 --> 00:33:32,440
Speaker 6: she was, yeah, there is a problem with California curriculum.

653
00:33:32,440 --> 00:33:34,120
Speaker 6: I was like, hold up, what does curriculum mean?

654
00:33:34,920 --> 00:33:35,120
Speaker 1: Yeah?

655
00:33:35,920 --> 00:33:39,920
Speaker 6: She was like I don't know, I said, but that's

656
00:33:39,960 --> 00:33:43,600
Speaker 6: the problem, right. I was just like, she don't know

657
00:33:43,640 --> 00:33:48,080
Speaker 6: what that means, right, She's just not doing the work, babe. Yeah.

658
00:33:48,760 --> 00:33:52,240
Speaker 5: Yeah, it's like that weird uh. Jaden and Willow Smith

659
00:33:52,280 --> 00:33:54,600
Speaker 5: interview from like seven years ago where they were like

660
00:33:54,640 --> 00:33:57,480
Speaker 5: talking about all kinds of weird. Yeah, yeah, yah, philosophical ship.

661
00:33:57,520 --> 00:33:59,480
Speaker 5: They're like, y'all are fucking twelve years old. Yeah, what

662
00:33:59,600 --> 00:34:01,840
Speaker 5: the fuck are you're saying right now? But yeah, you

663
00:34:01,920 --> 00:34:02,960
Speaker 5: don't know what rhetoric means.

664
00:34:03,000 --> 00:34:03,080
Speaker 1: Bro.

665
00:34:03,840 --> 00:34:04,040
Speaker 5: Yeah.

666
00:34:05,640 --> 00:34:07,959
Speaker 1: By the way, he did not say shit about assault

667
00:34:08,040 --> 00:34:10,800
Speaker 1: rifles or gun control, the thing that is actually to

668
00:34:10,920 --> 00:34:15,560
Speaker 1: blame for the history of many assassination attempts and shootings

669
00:34:15,760 --> 00:34:16,440
Speaker 1: in this country.

670
00:34:16,600 --> 00:34:18,480
Speaker 6: I'm goa throwing here racism. Let me tell you why

671
00:34:18,480 --> 00:34:20,440
Speaker 6: I'm a thrown here racism. Let me let me tell

672
00:34:20,440 --> 00:34:23,920
Speaker 6: you a lot. I'm glad you asked, because what's the

673
00:34:24,000 --> 00:34:25,759
Speaker 6: name of that city in Pennsylvania that they was.

674
00:34:25,760 --> 00:34:29,360
Speaker 5: At Butler Farm? Butler? But it was the Butler Farm

675
00:34:29,480 --> 00:34:30,240
Speaker 5: showed ground.

676
00:34:30,400 --> 00:34:34,600
Speaker 6: So look, we're in Butler, Pennsylvania. Of course there's a

677
00:34:34,600 --> 00:34:37,560
Speaker 6: little white boy walking around with a gun. Of course

678
00:34:37,600 --> 00:34:41,120
Speaker 6: there is wearing Butler, Pennsylvania. Of course he gonna climb

679
00:34:41,239 --> 00:34:44,320
Speaker 6: up on the roof. Well, well, Huckleberry Finn had asked,

680
00:34:44,400 --> 00:34:48,359
Speaker 6: and nobody had nothing to say about it, because y'all

681
00:34:48,400 --> 00:34:52,080
Speaker 6: don't suspect little white boys, you said. The whole time,

682
00:34:52,120 --> 00:34:55,359
Speaker 6: they're like, huh, there's somebody there, not until the boy

683
00:34:55,480 --> 00:34:57,880
Speaker 6: got the got the whole last president in his scope

684
00:34:57,960 --> 00:35:01,279
Speaker 6: was y'all like, wait a minute. So I'm just saying,

685
00:35:01,440 --> 00:35:06,200
Speaker 6: let anybody else walk around Butler, Pennsylvania with a with

686
00:35:06,360 --> 00:35:09,400
Speaker 6: a whole assault rifle. You know what I'm saying. I'm like,

687
00:35:09,440 --> 00:35:11,200
Speaker 6: you couldn't even got out the car. The fact that

688
00:35:11,360 --> 00:35:13,520
Speaker 6: y'all was like, of course he walking around here all

689
00:35:13,640 --> 00:35:15,640
Speaker 6: open with a gun and climbing on the roof because

690
00:35:15,680 --> 00:35:18,480
Speaker 6: that's a little white boy in Butler, Pennsylvania. That's everybody

691
00:35:18,560 --> 00:35:21,319
Speaker 6: over there. So to me, I'm like, that's what y'all

692
00:35:21,360 --> 00:35:24,640
Speaker 6: get for not assuming that that little boy dangerous.

693
00:35:25,600 --> 00:35:27,719
Speaker 5: Not that's what you get. You understand what people. Yeah,

694
00:35:27,760 --> 00:35:32,200
Speaker 5: but people with a gun can be dangerous. White white

695
00:35:32,280 --> 00:35:34,880
Speaker 5: kid with ben Kyle written that's Kyle Rittenhouse and I

696
00:35:35,000 --> 00:35:36,320
Speaker 5: love that and look.

697
00:35:37,880 --> 00:35:41,320
Speaker 6: Chevy, little chubby little cheeks. I'm just saying, your little chubby,

698
00:35:41,360 --> 00:35:44,000
Speaker 6: little cute, little eighth grader might be a murderer.

699
00:35:44,640 --> 00:35:45,040
Speaker 1: Mm hmm.

700
00:35:45,640 --> 00:35:46,080
Speaker 5: You might be.

701
00:35:46,680 --> 00:35:50,080
Speaker 6: That's all in fact on camera doing it with with

702
00:35:50,280 --> 00:35:52,840
Speaker 6: no second thought, just like I just like I just

703
00:35:52,960 --> 00:35:55,120
Speaker 6: y'all wouldn't gonna stop me. I just walk right in here.

704
00:35:55,800 --> 00:35:55,960
Speaker 5: Yeah.

705
00:35:56,040 --> 00:36:00,000
Speaker 1: Yeah, but he Trump just doubled down on his opposite

706
00:36:00,000 --> 00:36:03,600
Speaker 1: position to gun regulations, and this was all happening. I

707
00:36:03,680 --> 00:36:05,720
Speaker 1: forget if I said this up top in an interview

708
00:36:05,800 --> 00:36:10,480
Speaker 1: with doctor Phil for some fucking reason, And shockingly, doctor

709
00:36:10,520 --> 00:36:11,080
Speaker 1: Phil did not.

710
00:36:11,520 --> 00:36:12,600
Speaker 5: Push back on this.

711
00:36:12,719 --> 00:36:16,200
Speaker 1: Tatro really hit what about gun regulation? Right?

712
00:36:16,360 --> 00:36:19,040
Speaker 6: Even getting the home runs with the pop culture interviews. Man,

713
00:36:19,239 --> 00:36:22,480
Speaker 6: just I think he also people. I think he doubled

714
00:36:22,560 --> 00:36:25,160
Speaker 6: down on the uh like just vote for me once

715
00:36:25,200 --> 00:36:26,319
Speaker 6: and you want to have to vote again?

716
00:36:26,400 --> 00:36:28,480
Speaker 5: Shit too. In that interview it had all kinds of

717
00:36:28,520 --> 00:36:32,239
Speaker 5: There's one part where I'm pretty like doctor Phil was like, hey, man,

718
00:36:32,320 --> 00:36:34,600
Speaker 5: after that shit, like, do you hug your kids extra

719
00:36:35,000 --> 00:36:35,399
Speaker 5: like hard?

720
00:36:35,520 --> 00:36:35,680
Speaker 1: Now?

721
00:36:35,960 --> 00:36:37,880
Speaker 5: And like Donald Trump doesn't even say yes to that.

722
00:36:38,000 --> 00:36:40,040
Speaker 5: He just like goes on and talks about some other shit.

723
00:36:40,080 --> 00:36:42,360
Speaker 5: I just want to play this because it's so trumpy,

724
00:36:42,480 --> 00:36:46,040
Speaker 5: where like Donald like doctor Phil's trying to underhand him,

725
00:36:46,320 --> 00:36:49,000
Speaker 5: like be like, hey, here's your shot to also sayd

726
00:36:49,120 --> 00:36:51,919
Speaker 5: like a dad like remember that because remember what Tim

727
00:36:51,960 --> 00:36:52,440
Speaker 5: Walls did.

728
00:36:52,840 --> 00:36:52,920
Speaker 8: Uh?

729
00:36:53,040 --> 00:36:55,120
Speaker 5: This is him talking just being asked do you hug

730
00:36:55,160 --> 00:36:56,000
Speaker 5: your kids extra hard?

731
00:36:56,040 --> 00:36:56,320
Speaker 1: After that?

732
00:36:56,800 --> 00:36:58,680
Speaker 6: Did you hug your kids extra hard?

733
00:36:58,800 --> 00:37:01,560
Speaker 8: I mean, as it changed, a lot of people ask

734
00:37:01,680 --> 00:37:05,400
Speaker 8: me and a lot of people say, like, have you

735
00:37:05,520 --> 00:37:10,760
Speaker 8: developed any fear of you know, doing this, Like because

736
00:37:10,800 --> 00:37:14,839
Speaker 8: you look big. President is a dangerous job. It's much

737
00:37:14,880 --> 00:37:16,799
Speaker 8: more dangerous than a race car driver.

738
00:37:17,800 --> 00:37:22,040
Speaker 5: Statistically false, but okay, go on, absolutely not bro dangerous.

739
00:37:22,040 --> 00:37:23,839
Speaker 8: But yes, if you think about it, just go up

740
00:37:23,880 --> 00:37:30,040
Speaker 8: and down the list. So yeah, forty six and numerous

741
00:37:30,920 --> 00:37:34,960
Speaker 8: left early or got hit. It's a very dangerous job.

742
00:37:35,320 --> 00:37:38,840
Speaker 8: It's a I never realized how dangerous anyway.

743
00:37:39,040 --> 00:37:41,480
Speaker 1: Oh my god, I'm like, you hug your kids not

744
00:37:41,680 --> 00:37:46,439
Speaker 1: basically a hard driver rule. Hey sick, I'm doing it, dude,

745
00:37:46,480 --> 00:37:47,520
Speaker 1: do you love your kids.

746
00:37:47,719 --> 00:37:49,839
Speaker 5: I've got a more dangerous job than a guy who

747
00:37:49,880 --> 00:37:53,080
Speaker 5: goes in volcanoes when they're erupted, because you know how

748
00:37:53,120 --> 00:37:55,400
Speaker 5: to was the question about my kids. I don't give

749
00:37:55,440 --> 00:37:57,120
Speaker 5: a fuck because it's.

750
00:37:57,000 --> 00:37:59,920
Speaker 1: Probably one of the most right. Like when you think

751
00:38:00,040 --> 00:38:03,440
Speaker 1: about the number, there's only been forty how many.

752
00:38:03,320 --> 00:38:04,960
Speaker 3: Forty six forty six total?

753
00:38:05,200 --> 00:38:09,520
Speaker 1: But there they were in the forty seventh and four

754
00:38:09,680 --> 00:38:10,799
Speaker 1: of them have been.

755
00:38:12,360 --> 00:38:17,200
Speaker 9: Shot three three to death in office. Yeah, four have

756
00:38:17,320 --> 00:38:23,040
Speaker 9: been killed. Yeah, for Abe, Lincoln, Garfield, McKinley, and JFK.

757
00:38:23,280 --> 00:38:26,960
Speaker 1: Yeah yeah, yeah, yeah, oh JFK got killed.

758
00:38:29,920 --> 00:38:32,600
Speaker 5: He showed up in close last week. We saw him.

759
00:38:32,640 --> 00:38:34,280
Speaker 5: He's fine, he's fine, he's fires.

760
00:38:34,880 --> 00:38:38,759
Speaker 1: Yeah, I get I can agree with the statistics, but

761
00:38:39,080 --> 00:38:41,720
Speaker 1: it's just funny that he's I'm.

762
00:38:41,640 --> 00:38:46,640
Speaker 6: Like, drivers don't have armed security for life, bro, Like,

763
00:38:47,000 --> 00:38:50,759
Speaker 6: just let's just start there. What's the secret service for

764
00:38:50,960 --> 00:38:51,920
Speaker 6: race car drivers?

765
00:38:52,239 --> 00:38:54,400
Speaker 1: And could I just get you to like give me

766
00:38:54,560 --> 00:38:59,160
Speaker 1: a moment of vulnerability where you've seem human right now?

767
00:39:00,480 --> 00:39:01,680
Speaker 1: I'm actually fucking rocks.

768
00:39:01,920 --> 00:39:05,680
Speaker 5: Did you hear how kind of like discombobulated he was

769
00:39:05,760 --> 00:39:08,600
Speaker 5: with that? And she's like, you know, dude, it's like

770
00:39:09,160 --> 00:39:10,120
Speaker 5: he was saying like.

771
00:39:10,640 --> 00:39:13,160
Speaker 6: It was almost like he was thinking the question was

772
00:39:13,239 --> 00:39:15,800
Speaker 6: gonna be something else. So he was like, I just

773
00:39:15,880 --> 00:39:18,560
Speaker 6: wanted to get these bars off, and I was trying

774
00:39:18,600 --> 00:39:20,719
Speaker 6: to find a question that was gonna get these bars off,

775
00:39:21,000 --> 00:39:22,759
Speaker 6: And can I make this question about that?

776
00:39:23,000 --> 00:39:23,200
Speaker 5: Yeah?

777
00:39:23,480 --> 00:39:26,880
Speaker 1: He legitimately like doctor Phil asked about his kids, and

778
00:39:27,040 --> 00:39:29,120
Speaker 1: he asked himself a different question.

779
00:39:29,320 --> 00:39:29,520
Speaker 5: Yeah.

780
00:39:29,840 --> 00:39:33,480
Speaker 1: Other people ask me, am I scared? Guess what?

781
00:39:33,800 --> 00:39:34,000
Speaker 5: Yeah?

782
00:39:34,480 --> 00:39:36,200
Speaker 6: I don't feel fear, because that's what you're asking me.

783
00:39:36,680 --> 00:39:39,560
Speaker 6: You're asking me about my children. But what you mean

784
00:39:39,800 --> 00:39:42,839
Speaker 6: is am I afraid to die? That's what you really

785
00:39:42,880 --> 00:39:48,320
Speaker 6: asking right exactly? No, sorry, I'm asking you if it

786
00:39:48,480 --> 00:39:51,840
Speaker 6: gave you perspective about how life was precious, and.

787
00:39:52,000 --> 00:39:53,400
Speaker 5: Yeah, I got a lot of perspective.

788
00:39:53,800 --> 00:39:56,440
Speaker 6: Enjoy the family that you have, now, that's what I'm asking.

789
00:39:56,840 --> 00:39:59,879
Speaker 5: Yeah, And to answer your question, yeah, I'm pretty tough.

790
00:40:02,040 --> 00:40:03,520
Speaker 5: Met what All right?

791
00:40:03,600 --> 00:40:03,680
Speaker 6: Bro?

792
00:40:03,920 --> 00:40:05,120
Speaker 1: Look at this card right here?

793
00:40:05,239 --> 00:40:05,560
Speaker 5: Look at me.

794
00:40:05,640 --> 00:40:08,760
Speaker 1: I'm dancing in an iron Man suit. I look fucking red.

795
00:40:09,120 --> 00:40:11,360
Speaker 5: I'm I'm doing my little two step, you know what

796
00:40:11,400 --> 00:40:13,480
Speaker 5: I mean. They call that the Trump shuffle.

797
00:40:13,880 --> 00:40:25,759
Speaker 1: Let's take a quick break. We'll be right back, and

798
00:40:26,120 --> 00:40:28,600
Speaker 1: we're back. We're back, all right. So that you may

799
00:40:28,640 --> 00:40:32,080
Speaker 1: have seen this story that AI police reports are here

800
00:40:32,520 --> 00:40:38,399
Speaker 1: to save the police from doing police work. Basically, it's

801
00:40:38,719 --> 00:40:40,799
Speaker 1: only a matter of time, you know. It was only

802
00:40:40,840 --> 00:40:44,880
Speaker 1: a matter of time until the two of the shittier

803
00:40:44,960 --> 00:40:49,840
Speaker 1: things on the planet, AI and policing joined forces. In

804
00:40:49,960 --> 00:40:52,800
Speaker 1: this case, the AI helps them churn out recaps of

805
00:40:52,920 --> 00:40:57,319
Speaker 1: incidents using bodycam footage, thus sparing the officers from having

806
00:40:57,840 --> 00:41:01,840
Speaker 1: to pen lengthy reports. And the cops like in talking

807
00:41:01,880 --> 00:41:04,120
Speaker 1: about it, the ones that they're like interviewing for these

808
00:41:04,200 --> 00:41:07,400
Speaker 1: puff pieces on the technology are like, I can't write

809
00:41:07,520 --> 00:41:11,719
Speaker 1: for shit, I'm basically an idiot, and this thing made

810
00:41:11,800 --> 00:41:14,880
Speaker 1: me like it. This is a quote from one of

811
00:41:14,920 --> 00:41:17,640
Speaker 1: the stories. It was a better report than I could

812
00:41:17,640 --> 00:41:20,480
Speaker 1: have ever written, and it was one hundred percent accurate.

813
00:41:20,680 --> 00:41:23,840
Speaker 1: It flowed better, better than I could have ever written.

814
00:41:24,040 --> 00:41:27,400
Speaker 1: That's first of all, it's supposed to be a rough draft,

815
00:41:27,840 --> 00:41:31,239
Speaker 1: Like it's not supposed to replace the reports that you're

816
00:41:31,239 --> 00:41:33,680
Speaker 1: writing the post. They give you a rough draft that

817
00:41:33,840 --> 00:41:35,239
Speaker 1: you then like work backwards on.

818
00:41:35,400 --> 00:41:38,239
Speaker 5: Nah, n I gotta cut corners and how like.

819
00:41:38,320 --> 00:41:40,560
Speaker 1: It's called draft one, by the way, that's the name

820
00:41:40,600 --> 00:41:43,279
Speaker 1: of the technology as draft one. And he's like, this

821
00:41:43,480 --> 00:41:46,600
Speaker 1: is the goddamn best thing, best version of a report

822
00:41:46,680 --> 00:41:47,319
Speaker 1: I've ever seen.

823
00:41:48,040 --> 00:41:52,080
Speaker 5: And how important are these like police reports in terms of,

824
00:41:52,560 --> 00:41:55,240
Speaker 5: you know, like when people intersect with the justice system,

825
00:41:55,640 --> 00:41:58,640
Speaker 5: Like is it how vital are these and how much

826
00:41:58,760 --> 00:42:02,120
Speaker 5: like how much room is there for you know, dubious

827
00:42:02,239 --> 00:42:05,080
Speaker 5: shit to pop into these kinds of police reports?

828
00:42:05,360 --> 00:42:07,320
Speaker 7: All right, to be clear, they're already largely made of

829
00:42:07,400 --> 00:42:11,520
Speaker 7: dubious shit. Like let's let's start from there, Okay. The things,

830
00:42:11,920 --> 00:42:14,399
Speaker 7: these things vary really really wildly from place to place.

831
00:42:14,520 --> 00:42:17,480
Speaker 7: So when I started out as a public Defender. I

832
00:42:17,520 --> 00:42:20,840
Speaker 7: was in Santa Clara County, California, in which the police

833
00:42:20,880 --> 00:42:24,520
Speaker 7: are trained to write reports. So when a thing happens

834
00:42:24,560 --> 00:42:26,160
Speaker 7: and the police are there, they'll like write down what

835
00:42:26,239 --> 00:42:28,160
Speaker 7: they saw, and then the second cop there will write

836
00:42:28,200 --> 00:42:29,600
Speaker 7: down what he saw, and then they talked to a

837
00:42:29,640 --> 00:42:31,080
Speaker 7: witness and they write down with the witness set and

838
00:42:31,120 --> 00:42:33,719
Speaker 7: all and all you get this packet, which is really

839
00:42:33,800 --> 00:42:36,640
Speaker 7: really helpful if we are going to believe that the

840
00:42:36,719 --> 00:42:39,520
Speaker 7: legal system is in any way about finding truth right, Like,

841
00:42:39,640 --> 00:42:42,239
Speaker 7: you want to have detailed accounts from the people who

842
00:42:42,280 --> 00:42:44,320
Speaker 7: were there about what they what they heard, and what

843
00:42:44,400 --> 00:42:46,680
Speaker 7: they saw. I then went out to New York to

844
00:42:46,760 --> 00:42:49,640
Speaker 7: work at Bronx Defenders, and that's when I learned that

845
00:42:49,680 --> 00:42:54,120
Speaker 7: the NYPD is essentially like really really really good at

846
00:42:54,200 --> 00:42:57,400
Speaker 7: not writing stuff down. When you get an NYPD discovery packet,

847
00:42:57,480 --> 00:43:00,080
Speaker 7: it's like a whole bunch of pages, but all of

848
00:43:00,160 --> 00:43:02,560
Speaker 7: the pages have the same one line copy pasted on them.

849
00:43:02,600 --> 00:43:04,200
Speaker 7: It's like, at the time and place of occurrence the

850
00:43:04,280 --> 00:43:08,040
Speaker 7: incident did occur, yell.

851
00:43:07,120 --> 00:43:11,080
Speaker 1: Anything, and that is when the suspected perpetrator did occur

852
00:43:11,360 --> 00:43:15,600
Speaker 1: onto the occurrence and it happened that at that moment

853
00:43:15,880 --> 00:43:22,640
Speaker 1: in the geographical location in question. Heretofore, it's just like, yeah,

854
00:43:23,040 --> 00:43:23,520
Speaker 1: we could have a.

855
00:43:23,560 --> 00:43:27,080
Speaker 7: Whole conversation about like the police attraction to big words.

856
00:43:27,120 --> 00:43:29,160
Speaker 7: They don't quite use it. You want to have a

857
00:43:29,239 --> 00:43:32,719
Speaker 7: great time. They've got the defense attorney ask a cop

858
00:43:32,800 --> 00:43:36,759
Speaker 7: on the stand what furtive means? They love saying everything

859
00:43:36,800 --> 00:43:39,600
Speaker 7: a furtive movements, But like, what what is what is

860
00:43:39,719 --> 00:43:40,360
Speaker 7: furtive to you?

861
00:43:42,280 --> 00:43:42,400
Speaker 2: Now?

862
00:43:43,120 --> 00:43:48,120
Speaker 7: Indeed, this whole situation is furtive. So when you get

863
00:43:48,160 --> 00:43:51,000
Speaker 7: to a place where essentially nothing is written down you,

864
00:43:51,320 --> 00:43:55,440
Speaker 7: you create a systemic problem, which is, in order for

865
00:43:55,600 --> 00:43:58,920
Speaker 7: me to get any information to protect an accused person

866
00:43:59,160 --> 00:44:02,759
Speaker 7: and protect their US constitutional rights, I'm going to need

867
00:44:02,800 --> 00:44:05,120
Speaker 7: to create a legal process to find out more about

868
00:44:05,160 --> 00:44:08,279
Speaker 7: what this CoP's claims actually are, which means I may

869
00:44:08,400 --> 00:44:10,640
Speaker 7: have to demand hearings that I don't actually need, Like

870
00:44:10,719 --> 00:44:12,719
Speaker 7: I might have to file suppression hearings that I don't

871
00:44:12,719 --> 00:44:14,600
Speaker 7: actually need, just to get the cop on the witness

872
00:44:14,640 --> 00:44:17,080
Speaker 7: stand just so I can cross examine them about what

873
00:44:17,200 --> 00:44:20,279
Speaker 7: the heck they're saying they saw and did. So it's

874
00:44:20,360 --> 00:44:23,040
Speaker 7: really really really inefficient, and it's bad for truth and

875
00:44:23,120 --> 00:44:25,200
Speaker 7: it's bad for justice. Like it's very very bad for

876
00:44:25,719 --> 00:44:27,960
Speaker 7: any semblance of accuracy in the system, and it causes

877
00:44:28,080 --> 00:44:30,640
Speaker 7: massive delays. So all of this is to say bad

878
00:44:30,800 --> 00:44:35,200
Speaker 7: discovery is a huge driver of our system being inept

879
00:44:35,480 --> 00:44:37,000
Speaker 7: at creating any semblance of truth.

880
00:44:37,480 --> 00:44:37,600
Speaker 1: Right.

881
00:44:38,280 --> 00:44:41,760
Speaker 7: It's also like you have to remember that police writing reports.

882
00:44:41,800 --> 00:44:44,520
Speaker 7: There's kind of a double edged sword here because police

883
00:44:44,600 --> 00:44:48,359
Speaker 7: get a ton of overtime out of writing reports if

884
00:44:48,360 --> 00:44:50,120
Speaker 7: they make an arrest at the end of their shift

885
00:44:50,480 --> 00:44:51,840
Speaker 7: and they get to sit at their desk for the

886
00:44:51,920 --> 00:44:54,840
Speaker 7: next three hours like carefully inscribing documents with at the

887
00:44:54,880 --> 00:45:00,440
Speaker 7: time and place of occurrence the event and again very incursive. Yeah,

888
00:45:00,480 --> 00:45:03,200
Speaker 7: they make a ton of overtime doing that. So I

889
00:45:03,280 --> 00:45:06,120
Speaker 7: think I mean when I say a ton, I mean

890
00:45:06,160 --> 00:45:08,320
Speaker 7: like millions and millions. Wherever you are in the country.

891
00:45:08,320 --> 00:45:10,840
Speaker 7: You should google who the highest paid public employee in

892
00:45:10,880 --> 00:45:12,840
Speaker 7: your jurisdiction was, and there's like a decent chance it

893
00:45:12,880 --> 00:45:14,320
Speaker 7: was a cop who made a lot of overtime a

894
00:45:14,360 --> 00:45:16,200
Speaker 7: few years ago. It was like a port authority cop

895
00:45:16,239 --> 00:45:16,919
Speaker 7: in New York City.

896
00:45:17,640 --> 00:45:17,920
Speaker 5: Wow.

897
00:45:18,239 --> 00:45:20,520
Speaker 7: Yeah, just like over a million bucks in overtime. And

898
00:45:22,000 --> 00:45:23,759
Speaker 7: so when I think about what AI would do to

899
00:45:23,840 --> 00:45:25,640
Speaker 7: this process, I think of a couple of things. One,

900
00:45:26,760 --> 00:45:30,000
Speaker 7: it's less accurate because it's not giving you the police

901
00:45:30,080 --> 00:45:32,920
Speaker 7: officers impressions of what happened. It's giving you the AIS

902
00:45:33,000 --> 00:45:35,040
Speaker 7: impressions of what happened. And this is even assuming the

903
00:45:35,080 --> 00:45:38,480
Speaker 7: AI doesn't hallucinate, which, as we know, like AIS make

904
00:45:38,560 --> 00:45:39,480
Speaker 7: stuff up all the time.

905
00:45:40,400 --> 00:45:40,640
Speaker 5: Yeah.

906
00:45:40,800 --> 00:45:43,600
Speaker 7: So yeah, Like, if you're going to totally hand over

907
00:45:43,640 --> 00:45:45,520
Speaker 7: your faith to a robot to tell you what happened

908
00:45:45,520 --> 00:45:49,280
Speaker 7: in a video and abandon the idea that human perception

909
00:45:49,480 --> 00:45:52,399
Speaker 7: is necessary to interpret what happened in a video, you're

910
00:45:52,440 --> 00:45:54,160
Speaker 7: also leaving by the side of the road things that

911
00:45:54,200 --> 00:45:56,680
Speaker 7: I might need to know about the cops ability to

912
00:45:56,760 --> 00:45:59,880
Speaker 7: perceive about what the cop was focused on. What like,

913
00:46:00,400 --> 00:46:02,560
Speaker 7: For example, in a police report, let's say the whole

914
00:46:02,640 --> 00:46:06,560
Speaker 7: report is written about I don't know somebody's way of

915
00:46:06,680 --> 00:46:09,719
Speaker 7: driving a car in a DUI case, and none of

916
00:46:09,760 --> 00:46:11,880
Speaker 7: it's about the fact that when the person got totally

917
00:46:11,960 --> 00:46:15,719
Speaker 7: furtively furtively across you know, when they get out of

918
00:46:15,760 --> 00:46:18,279
Speaker 7: the car, maybe everything they did at that point was fine.

919
00:46:18,280 --> 00:46:21,120
Speaker 7: Maybe they're talking, fine, walking fine, don't have any sort

920
00:46:21,120 --> 00:46:25,040
Speaker 7: of symptoms of intoxication. If the entire report is about

921
00:46:25,080 --> 00:46:27,440
Speaker 7: the driving, then I get to cross examine the cop on,

922
00:46:27,600 --> 00:46:30,400
Speaker 7: like why why didn't you talk about what happened after that?

923
00:46:31,120 --> 00:46:31,160
Speaker 4: What?

924
00:46:31,640 --> 00:46:35,600
Speaker 7: Like their omissions can be really really important to a

925
00:46:35,719 --> 00:46:38,440
Speaker 7: jury to decide who's lying, who's telling the truth. You

926
00:46:38,600 --> 00:46:41,480
Speaker 7: take the human perception out of that, and you take

927
00:46:41,520 --> 00:46:44,200
Speaker 7: away this fundamental thing. Our system is designed to have

928
00:46:44,320 --> 00:46:48,200
Speaker 7: twelve people tell you if another person is lying, right,

929
00:46:48,600 --> 00:46:50,880
Speaker 7: twelve people can't tell you if an ai is lying

930
00:46:51,040 --> 00:46:54,040
Speaker 7: or hallucinating. I mean, it's just it takes us even

931
00:46:54,200 --> 00:46:57,400
Speaker 7: farther from the system having utility. And I get that

932
00:46:57,520 --> 00:47:00,160
Speaker 7: in the system we are going to consistently prioritize the

933
00:47:00,239 --> 00:47:04,760
Speaker 7: efficiency of punishment over the semblance of truth. But especially

934
00:47:04,840 --> 00:47:07,239
Speaker 7: with the involvement of Axon, which has a grotesque history,

935
00:47:07,239 --> 00:47:11,480
Speaker 7: I'd be more than happy to Yeah, this is like

936
00:47:11,640 --> 00:47:12,439
Speaker 7: five alarm fire.

937
00:47:12,880 --> 00:47:15,520
Speaker 5: Wait, you're saying a company that used to be called Taser.

938
00:47:17,840 --> 00:47:20,680
Speaker 1: I like that they went from Taser obviously like trying

939
00:47:20,719 --> 00:47:22,360
Speaker 1: to cover up the fact that they're the company that

940
00:47:22,480 --> 00:47:25,440
Speaker 1: invented the taser that for some reason as a negative

941
00:47:25,480 --> 00:47:30,000
Speaker 1: connotation with it to Axon is like so fucking aggressive.

942
00:47:30,520 --> 00:47:32,480
Speaker 7: Well it's also you know, that's a nerve. Axon is

943
00:47:32,520 --> 00:47:34,839
Speaker 7: what the electrical current runs down that stimulates the next

944
00:47:34,920 --> 00:47:37,480
Speaker 7: nerve cell. So it's still like we're gonna zapia. It's

945
00:47:37,600 --> 00:47:39,839
Speaker 7: just we're gonna zapA for people who took ap bio.

946
00:47:40,320 --> 00:47:42,840
Speaker 5: That's right exactly. It's like the version of using furtive.

947
00:47:42,880 --> 00:47:47,360
Speaker 1: They're like, what if we just classed it up, I

948
00:47:47,400 --> 00:47:51,040
Speaker 1: would just throw in the additional thing and this might

949
00:47:51,120 --> 00:47:54,400
Speaker 1: be like not this might be a controversial statement, but

950
00:47:54,760 --> 00:47:58,320
Speaker 1: I personally don't want to get like it. So the

951
00:47:58,400 --> 00:48:03,200
Speaker 1: CEO of Axon, who is a company behind this AI technology,

952
00:48:03,239 --> 00:48:05,400
Speaker 1: we'll talk about other stuff there behind brag that the

953
00:48:05,480 --> 00:48:09,120
Speaker 1: AI spares cops from the tedious work of spending half

954
00:48:09,200 --> 00:48:14,480
Speaker 1: their day doing data entry. I don't want police to

955
00:48:14,640 --> 00:48:19,000
Speaker 1: be like out roaming the streets more with their guns,

956
00:48:19,520 --> 00:48:23,440
Speaker 1: like ready to get like suspicious about whatever comes across

957
00:48:23,520 --> 00:48:27,160
Speaker 1: their plate while they're sufficiently bored, Like I feel like

958
00:48:27,239 --> 00:48:30,000
Speaker 1: this is a job that we want to have a

959
00:48:30,160 --> 00:48:34,759
Speaker 1: healthy amount of like downtime where they're reflecting on what

960
00:48:35,000 --> 00:48:38,759
Speaker 1: they've done and like having to think about that and

961
00:48:38,920 --> 00:48:43,080
Speaker 1: account for it. And this technology seems to be designed

962
00:48:43,200 --> 00:48:46,000
Speaker 1: to like what if the police were like even more

963
00:48:46,480 --> 00:48:50,239
Speaker 1: gas and less breaks like built into it. What if

964
00:48:50,280 --> 00:48:52,719
Speaker 1: it was just more they don't really even have to

965
00:48:52,840 --> 00:48:54,759
Speaker 1: think about it because the machine's there to like just

966
00:48:55,320 --> 00:48:59,000
Speaker 1: document what they did out you know, yeah, you know

967
00:48:59,120 --> 00:49:04,120
Speaker 1: exactly liss policing aka just like out there fucking shit

968
00:49:04,280 --> 00:49:05,399
Speaker 1: up more of the time.

969
00:49:05,560 --> 00:49:07,200
Speaker 5: I think the other thing that's really interesting too is

970
00:49:07,480 --> 00:49:10,680
Speaker 5: like to your point, Emily, you know, the overtime is

971
00:49:10,760 --> 00:49:12,960
Speaker 5: where a lot of budgets go and a lot of

972
00:49:13,000 --> 00:49:15,360
Speaker 5: people they make their they make that money. We're like,

973
00:49:15,400 --> 00:49:17,840
Speaker 5: how does that cop have that fucking car and like

974
00:49:17,960 --> 00:49:20,239
Speaker 5: a boat and all this other stuff. It's like, yeah, dude,

975
00:49:20,280 --> 00:49:24,040
Speaker 5: the overtime's wacky that they're never like this will actually

976
00:49:24,080 --> 00:49:26,839
Speaker 5: help cut down on costs. They're more just like, dude,

977
00:49:26,840 --> 00:49:28,719
Speaker 5: it's gonna help the cops, dude, so they don't have

978
00:49:28,800 --> 00:49:31,239
Speaker 5: to be bored at work, you know, and like you

979
00:49:31,400 --> 00:49:33,160
Speaker 5: think the way to sell it to people who might

980
00:49:33,200 --> 00:49:36,120
Speaker 5: be more progressive, like guess what, man, this could actually

981
00:49:36,160 --> 00:49:37,759
Speaker 5: save a lot of money because now they don't have

982
00:49:37,840 --> 00:49:40,880
Speaker 5: the time to do, you know, claim as much overtime.

983
00:49:41,000 --> 00:49:43,200
Speaker 5: But again, that's that's part of the appeal. So they'll

984
00:49:43,239 --> 00:49:45,040
Speaker 5: just be like, no, man, it just makes their job

985
00:49:45,120 --> 00:49:48,719
Speaker 5: easier so they can keep you the citizen safe. All right,

986
00:49:48,920 --> 00:49:49,520
Speaker 5: next question.

987
00:49:50,200 --> 00:49:53,520
Speaker 7: You're right, though, it's also sort of exposing this terrible choice.

988
00:49:53,640 --> 00:49:53,799
Speaker 1: Right.

989
00:49:54,200 --> 00:49:57,040
Speaker 7: We have set up policing policy so that the vast

990
00:49:57,120 --> 00:50:00,800
Speaker 7: majority of police time is spent on things most people

991
00:50:00,920 --> 00:50:03,120
Speaker 7: don't actually care about. So when you ask the people

992
00:50:03,160 --> 00:50:05,880
Speaker 7: what are they like scared of, it's like burglary, robbery,

993
00:50:05,920 --> 00:50:08,560
Speaker 7: sexual assault, murder. And when you look at how police

994
00:50:08,560 --> 00:50:10,160
Speaker 7: spend their time, the vast majority of it is on

995
00:50:10,320 --> 00:50:13,600
Speaker 7: like noise complaints and unfounded calls and like somebody was

996
00:50:13,640 --> 00:50:17,040
Speaker 7: peeing outside and trespassing, and sometimes on what I sort

997
00:50:17,040 --> 00:50:19,000
Speaker 7: of think of as like police manufactured crime, which is

998
00:50:19,040 --> 00:50:22,160
Speaker 7: like convincing someone with a substance use problem to score

999
00:50:22,280 --> 00:50:24,839
Speaker 7: some drugs and also score for the undercover who will

1000
00:50:24,880 --> 00:50:26,080
Speaker 7: then arrest them for a felony.

1001
00:50:26,520 --> 00:50:26,920
Speaker 5: R Right.

1002
00:50:27,200 --> 00:50:29,800
Speaker 7: And the reason we don't want them on the street

1003
00:50:29,880 --> 00:50:33,600
Speaker 7: more is because they are out there on the street, armed, dangerous,

1004
00:50:34,080 --> 00:50:37,640
Speaker 7: and not investigating the things that people really care about.

1005
00:50:37,640 --> 00:50:39,799
Speaker 7: If you look at clearance rates, a lot of people

1006
00:50:39,800 --> 00:50:42,000
Speaker 7: don't know what clearance rates are, but it's the rate

1007
00:50:42,040 --> 00:50:44,680
Speaker 7: at which police are able to close cases. And in

1008
00:50:44,719 --> 00:50:46,799
Speaker 7: any jurisdiction, you can search for your local clearance rates,

1009
00:50:46,800 --> 00:50:48,960
Speaker 7: you be like, all right, how many rape cases are

1010
00:50:49,080 --> 00:50:51,280
Speaker 7: my local police even closing.

1011
00:50:51,400 --> 00:50:52,800
Speaker 6: Got the most places.

1012
00:50:53,920 --> 00:51:00,520
Speaker 7: Thirteen to twenty percent. This is a whole other feminist soapahow.

1013
00:51:00,400 --> 00:51:04,040
Speaker 1: Is totally across the entire country. There's like at least

1014
00:51:04,120 --> 00:51:06,480
Speaker 1: ninety that they've closed in the past decade.

1015
00:51:07,160 --> 00:51:10,080
Speaker 7: Seriously, and that's because it's a policy choice. It's a

1016
00:51:10,200 --> 00:51:13,520
Speaker 7: choice from police leadership about what they're going to dedicate

1017
00:51:13,560 --> 00:51:15,640
Speaker 7: resources to. And if, yeah, if the answer was, okay,

1018
00:51:15,680 --> 00:51:19,000
Speaker 7: they're not going to spend their time writing trespassing reports,

1019
00:51:19,480 --> 00:51:23,000
Speaker 7: but instead we're going to dedicate real efforts to how

1020
00:51:23,040 --> 00:51:27,760
Speaker 7: about wage theft or large scale pollution of poisoning entire towns.

1021
00:51:27,800 --> 00:51:29,239
Speaker 7: We're going to set the cops on that. If they

1022
00:51:29,280 --> 00:51:31,920
Speaker 7: were going to investigate crimes of the powerful against the

1023
00:51:32,000 --> 00:51:35,120
Speaker 7: citizenry instead of writing reports, I might feel differently about it,

1024
00:51:35,280 --> 00:51:36,200
Speaker 7: But I don't think that's the plan.

1025
00:51:37,160 --> 00:51:39,759
Speaker 1: Yeah, never has been. Yeah, But I do just want

1026
00:51:39,760 --> 00:51:41,440
Speaker 1: to get a little bit more into the history of acxllon.

1027
00:51:41,520 --> 00:51:45,920
Speaker 1: So they were taser. They made their initial money with

1028
00:51:46,480 --> 00:51:51,040
Speaker 1: selling tasers, and then body cams. When that became the

1029
00:51:51,160 --> 00:51:56,160
Speaker 1: solution to police brutality corruption, they went with body cams,

1030
00:51:56,280 --> 00:52:00,440
Speaker 1: and they basically have a monopoly for which they've been sued.

1031
00:52:00,760 --> 00:52:03,440
Speaker 1: They made four hundred and sixty one million dollars in

1032
00:52:03,520 --> 00:52:08,279
Speaker 1: the first quarter of twenty twenty four alone. They're also

1033
00:52:08,360 --> 00:52:11,359
Speaker 1: the same company that made headlines for endeavoring to solve

1034
00:52:11,600 --> 00:52:16,240
Speaker 1: school shootings with Taser equipped drones. That plan was paused

1035
00:52:16,600 --> 00:52:20,239
Speaker 1: when the majority of Axon's ethics board resigned in protests.

1036
00:52:20,640 --> 00:52:24,600
Speaker 1: But I think probably the most relevant and also, like

1037
00:52:24,680 --> 00:52:29,880
Speaker 1: I mentioned, their CEO gives speeches via remote iPad. I

1038
00:52:30,040 --> 00:52:33,480
Speaker 1: use an avatar man glued to the front of a

1039
00:52:33,680 --> 00:52:34,640
Speaker 1: motorcycle helmet.

1040
00:52:34,960 --> 00:52:38,240
Speaker 7: They also created excited delirium in parts all the bos

1041
00:52:38,400 --> 00:52:38,960
Speaker 7: that are due to.

1042
00:52:39,000 --> 00:52:41,359
Speaker 1: That, Yes, so I wanted to talk about that because

1043
00:52:41,360 --> 00:52:44,400
Speaker 1: I also think like that feels very relevant to this,

1044
00:52:44,880 --> 00:52:49,759
Speaker 1: because this is them getting involved in police narrative and

1045
00:52:49,880 --> 00:52:54,440
Speaker 1: how police justify what they're doing, and they were involved.

1046
00:52:55,120 --> 00:52:58,800
Speaker 1: You actually have a great video on this on your Twitter, Emily,

1047
00:52:59,000 --> 00:53:03,040
Speaker 1: where you talk talk about how about their role in

1048
00:53:03,160 --> 00:53:08,520
Speaker 1: the creation of and the proliferation of the term excited delirium,

1049
00:53:08,920 --> 00:53:11,400
Speaker 1: which is something we covered a while back, but I

1050
00:53:11,440 --> 00:53:14,160
Speaker 1: think it's always worth kind of refreshing people's memory of

1051
00:53:14,239 --> 00:53:16,160
Speaker 1: what is excited delirium.

1052
00:53:16,600 --> 00:53:19,560
Speaker 7: So excited delirium is a made up medical diagnosis that

1053
00:53:19,760 --> 00:53:23,319
Speaker 7: was originally invented in a sort of predictably racist way

1054
00:53:23,440 --> 00:53:26,719
Speaker 7: in Miami many decades ago, where a doctor claimed that

1055
00:53:27,080 --> 00:53:29,399
Speaker 7: people were dying of excited delirium, the sort of state

1056
00:53:29,520 --> 00:53:32,360
Speaker 7: of mania that caused them to behave really erradically and

1057
00:53:32,400 --> 00:53:35,880
Speaker 7: aggressively and dangerously and then they perish, They just expire.

1058
00:53:36,560 --> 00:53:39,000
Speaker 7: And it turned out that many of the women who

1059
00:53:39,040 --> 00:53:41,799
Speaker 7: are originally alleged to have excited delirium had actually been

1060
00:53:41,840 --> 00:53:45,640
Speaker 7: killed by a serial killer. But this idea that people

1061
00:53:45,680 --> 00:53:48,880
Speaker 7: could become so worked up that they are dangerous and

1062
00:53:49,000 --> 00:53:53,719
Speaker 7: then they die was seized upon by police because in

1063
00:53:53,880 --> 00:53:56,560
Speaker 7: police encounters where there is a need to justify use

1064
00:53:56,640 --> 00:53:59,200
Speaker 7: of force, it is very useful for them to claim

1065
00:53:59,280 --> 00:54:02,680
Speaker 7: that the person they used force against was dangerously worked

1066
00:54:02,719 --> 00:54:05,400
Speaker 7: up and had this medical thing where they became a

1067
00:54:05,560 --> 00:54:08,200
Speaker 7: risk to everybody's safety and they had to be taste

1068
00:54:08,239 --> 00:54:11,560
Speaker 7: and then oh, when they died from a heart attack,

1069
00:54:11,680 --> 00:54:14,400
Speaker 7: it wasn't because they got a massive vault of electricity.

1070
00:54:15,040 --> 00:54:18,680
Speaker 7: It was because they died of excited delirium. So excited delirium,

1071
00:54:18,680 --> 00:54:20,719
Speaker 7: which is not accepted by the way by doctors, Like

1072
00:54:20,880 --> 00:54:24,120
Speaker 7: medical associations are like, that's totally not a thing. Psychiatrical

1073
00:54:24,440 --> 00:54:26,000
Speaker 7: associations the same deal, not a thing.

1074
00:54:26,360 --> 00:54:30,480
Speaker 1: But there was that one panel that feel like we're

1075
00:54:30,480 --> 00:54:32,360
Speaker 1: good here. No need to look into the panel or

1076
00:54:32,400 --> 00:54:33,879
Speaker 1: who funded that I think we're good.

1077
00:54:34,320 --> 00:54:35,840
Speaker 7: No need to look at how many doctors on the

1078
00:54:35,880 --> 00:54:38,279
Speaker 7: panel were put there by Axon to no need to

1079
00:54:38,280 --> 00:54:40,319
Speaker 7: connect this to no need to also think about how

1080
00:54:40,400 --> 00:54:43,160
Speaker 7: much this reduces Axon's liability, right, because if deaths are

1081
00:54:43,200 --> 00:54:45,360
Speaker 7: caused by excited delirium and not caused by a taser,

1082
00:54:45,880 --> 00:54:47,200
Speaker 7: they're not going to have they're not going to be

1083
00:54:47,200 --> 00:54:51,040
Speaker 7: able to be successfully sued. But it's actually become a

1084
00:54:51,200 --> 00:54:54,560
Speaker 7: serious epidemic in this country of police using excited delirium

1085
00:54:54,600 --> 00:54:57,239
Speaker 7: to justify it not only taser use of force, but

1086
00:54:57,880 --> 00:55:00,000
Speaker 7: the use of paramedics as a weapon, like we said

1087
00:55:00,080 --> 00:55:02,880
Speaker 7: on the Elijah McLain case, where the police had paramedics

1088
00:55:02,920 --> 00:55:06,839
Speaker 7: inject Elijah McLain with a lethal dose of sedatives under

1089
00:55:06,920 --> 00:55:10,840
Speaker 7: this false diagnosis of excited delirium. So that seed that

1090
00:55:11,400 --> 00:55:16,560
Speaker 7: Axon planted in eight in legitimizing this diagnosis has now

1091
00:55:16,719 --> 00:55:19,160
Speaker 7: caused many many deaths and is continuing to cause deaths

1092
00:55:19,160 --> 00:55:20,040
Speaker 7: around the country.

1093
00:55:20,280 --> 00:55:22,800
Speaker 5: Right because like they'll hit people like ketamine and stuff,

1094
00:55:22,960 --> 00:55:25,120
Speaker 5: and then like they like I was reading a statistic

1095
00:55:25,160 --> 00:55:26,360
Speaker 5: that a lot of those people end up having to

1096
00:55:26,440 --> 00:55:29,400
Speaker 5: be intubated because it's so severe, and they're like, I

1097
00:55:29,400 --> 00:55:31,080
Speaker 5: don't know, man, wait, the guy was excited. I mean

1098
00:55:31,080 --> 00:55:33,680
Speaker 5: then they also said the same thing about George Floyd too. Yeah,

1099
00:55:33,760 --> 00:55:35,840
Speaker 5: that was like very early on, like it's excited. I

1100
00:55:35,880 --> 00:55:38,160
Speaker 5: don't know what you want to saying, man, let's let's

1101
00:55:38,239 --> 00:55:42,080
Speaker 5: just move on. So then like so axin for them,

1102
00:55:42,320 --> 00:55:44,279
Speaker 5: it's just more because they're sort of like, hey, we

1103
00:55:44,440 --> 00:55:46,600
Speaker 5: love what you guys do. Let's help out because this

1104
00:55:46,719 --> 00:55:49,279
Speaker 5: also helps justify the use of our products. Like is

1105
00:55:49,320 --> 00:55:51,680
Speaker 5: that sort of like their main motivation and like sort

1106
00:55:51,719 --> 00:55:56,640
Speaker 5: of pushing the excited delirium sort of craze along.

1107
00:55:57,080 --> 00:55:58,840
Speaker 7: I think it's also a legal shield. I mean, if

1108
00:55:58,840 --> 00:56:00,719
Speaker 7: I'm going to let's say I lose a loved one

1109
00:56:00,719 --> 00:56:02,920
Speaker 7: who was taste and I want a sue Taser for

1110
00:56:03,040 --> 00:56:05,359
Speaker 7: marketing a product as non lethal that was in fact

1111
00:56:05,480 --> 00:56:08,720
Speaker 7: lethal to my loved one. And they say, the medical

1112
00:56:08,800 --> 00:56:11,480
Speaker 7: examiner certificate doesn't say that your loved one died of

1113
00:56:11,520 --> 00:56:15,440
Speaker 7: an electric shock. The medical examiner certificate says excited delirium,

1114
00:56:15,560 --> 00:56:17,759
Speaker 7: So you can't actually get money from us in a

1115
00:56:17,800 --> 00:56:22,319
Speaker 7: civil suit or settlement. So it's it's covering them from

1116
00:56:22,440 --> 00:56:26,239
Speaker 7: being financially responsible for deaths they cause. And the same

1117
00:56:26,320 --> 00:56:28,520
Speaker 7: thing for police. I mean, if the police are getting

1118
00:56:28,600 --> 00:56:30,359
Speaker 7: the police could be sued in the same case, right,

1119
00:56:30,480 --> 00:56:32,719
Speaker 7: the sue Taser for the device to the police for

1120
00:56:32,800 --> 00:56:35,640
Speaker 7: the action. But either way, if the emmy's certificate says

1121
00:56:35,680 --> 00:56:38,320
Speaker 7: this person died of excited delirium, it's a liability.

1122
00:56:37,880 --> 00:56:42,759
Speaker 5: Shield, right, yeah, and disproportionately applied to Black men. Yes

1123
00:56:43,000 --> 00:56:43,600
Speaker 5: a lot of the time.

1124
00:56:43,719 --> 00:56:45,680
Speaker 1: Yes, right, it's a way for the police to justify

1125
00:56:45,800 --> 00:56:47,480
Speaker 1: that they why they're scared.

1126
00:56:48,160 --> 00:56:51,839
Speaker 7: It's really reliant on racist tropes right on the adultification

1127
00:56:51,960 --> 00:56:54,160
Speaker 7: of black children. First of all, this this child is

1128
00:56:54,200 --> 00:56:57,000
Speaker 7: a risk to me because I'm perceiving this child as

1129
00:56:57,080 --> 00:57:01,919
Speaker 7: older because of racial bias, but also the racist myth

1130
00:57:02,160 --> 00:57:05,960
Speaker 7: of dangerousness of black men in an excited state. I mean,

1131
00:57:06,000 --> 00:57:11,280
Speaker 7: this is totally playing on long term American racist tropes

1132
00:57:11,840 --> 00:57:15,080
Speaker 7: and sanitizing them with a fake medical diagnosis.

1133
00:57:14,800 --> 00:57:18,280
Speaker 5: Right, yeah, Yeah, it sounds like something you'd get at,

1134
00:57:18,360 --> 00:57:22,720
Speaker 5: like Willy Wonka's chocolate factory excited delirium for.

1135
00:57:22,800 --> 00:57:25,720
Speaker 1: You and you're like, right, ooh yeah, and that's why,

1136
00:57:25,960 --> 00:57:27,600
Speaker 1: and that's why we had to drown him in the

1137
00:57:27,680 --> 00:57:28,280
Speaker 1: chocolate river.

1138
00:57:28,640 --> 00:57:29,560
Speaker 5: Yes, exactly.

1139
00:57:30,280 --> 00:57:33,240
Speaker 1: Just a couple more details about is it Axin Axon.

1140
00:57:33,520 --> 00:57:36,840
Speaker 1: I'm gonna call them Axon because that feels sufficiently violent

1141
00:57:37,120 --> 00:57:41,440
Speaker 1: and sinister. Their CEO is like founding story. I just

1142
00:57:41,680 --> 00:57:45,680
Speaker 1: like founding stories for companies and CEOs because they are

1143
00:57:46,760 --> 00:57:50,600
Speaker 1: like the most full of shit things in America and

1144
00:57:50,760 --> 00:57:52,800
Speaker 1: like most widely believed people, like it was founded in

1145
00:57:52,920 --> 00:57:55,800
Speaker 1: the like everything was founded in a garage. No, it

1146
00:57:55,920 --> 00:58:00,120
Speaker 1: wasn't founded in like their rich dad's second home that

1147
00:58:01,040 --> 00:58:04,560
Speaker 1: was behind you his first mansion. But anyways, the CEO

1148
00:58:04,920 --> 00:58:07,640
Speaker 1: repeatedly told the story that he started the company because

1149
00:58:08,080 --> 00:58:10,680
Speaker 1: his two high school friends were shot and killed. He

1150
00:58:10,760 --> 00:58:14,040
Speaker 1: played high school football with them. It's just like two

1151
00:58:14,160 --> 00:58:17,880
Speaker 1: guys that he knew about who were like four or

1152
00:58:18,000 --> 00:58:19,240
Speaker 1: five years older than him.

1153
00:58:19,400 --> 00:58:21,520
Speaker 5: Yeah, they weren't even he never went to high school

1154
00:58:21,560 --> 00:58:21,840
Speaker 5: with him.

1155
00:58:21,960 --> 00:58:24,280
Speaker 1: Yeah, but like it's just you know, for him, he's

1156
00:58:24,320 --> 00:58:27,160
Speaker 1: like and man like, that's the closest that I like

1157
00:58:27,480 --> 00:58:31,080
Speaker 1: kids who were at your high school before you, is

1158
00:58:31,200 --> 00:58:34,320
Speaker 1: like such a stretch to be like that's also they

1159
00:58:35,000 --> 00:58:39,560
Speaker 1: the workplace culture includes group tasings and tattooing sessions in

1160
00:58:39,640 --> 00:58:43,600
Speaker 1: which employees are inked with corporate insignia. And by the way,

1161
00:58:43,800 --> 00:58:47,800
Speaker 1: the drone thing. While they were like all right fine

1162
00:58:48,000 --> 00:58:51,520
Speaker 1: when their entire ethics board resigned, they did by a

1163
00:58:51,680 --> 00:58:55,720
Speaker 1: drone company recently. So there it seems like what well

1164
00:58:55,840 --> 00:58:59,919
Speaker 1: their mouth says, all right, fine, god, their their money

1165
00:59:00,280 --> 00:59:03,720
Speaker 1: is saying that they're full, full steam ahead on the

1166
00:59:04,480 --> 00:59:10,160
Speaker 1: taser drones front. Yeah, so just all sorts of wild

1167
00:59:10,240 --> 00:59:13,680
Speaker 1: shit there, like truly the most dystopian, like a bunch

1168
00:59:13,760 --> 00:59:21,040
Speaker 1: of tattoo branded like corporate people, guy with motorcycle helmet,

1169
00:59:21,120 --> 00:59:22,480
Speaker 1: iPad face, like.

1170
00:59:22,720 --> 00:59:26,920
Speaker 5: Right, like knowing murder victims. Yeah, it's all I mean,

1171
00:59:27,040 --> 00:59:29,920
Speaker 5: they're in a way, it all does feel very appropriate.

1172
00:59:30,000 --> 00:59:32,040
Speaker 5: That then it's like and now that's what I like

1173
00:59:32,120 --> 00:59:34,040
Speaker 5: to do is help other people lie about stuff and

1174
00:59:34,720 --> 00:59:37,320
Speaker 5: I get to make money. And the institutional investment in

1175
00:59:37,360 --> 00:59:39,800
Speaker 5: this company is wild too. Oh yeah, it's like because

1176
00:59:39,800 --> 00:59:41,040
Speaker 5: they know they're like wait, how much they make in

1177
00:59:41,080 --> 00:59:44,480
Speaker 5: Q one? Okay? Yeah, yeah, but just generally I just.

1178
00:59:44,560 --> 00:59:46,760
Speaker 1: Want to like kind of get your take, Emily. There

1179
00:59:47,040 --> 00:59:51,200
Speaker 1: was recently this New York Times article about a The

1180
00:59:51,320 --> 00:59:54,680
Speaker 1: headline is what a group opposed to police blow the

1181
00:59:54,760 --> 00:59:59,120
Speaker 1: whistle on its founder, And it was like this AI

1182
00:59:59,440 --> 01:00:03,040
Speaker 1: app that was like, we're gonna re like create an

1183
01:00:03,080 --> 01:00:07,200
Speaker 1: alternative to the police by taking people's you know, complaints

1184
01:00:07,680 --> 01:00:11,080
Speaker 1: and routing them to like some of these other police alternatives.

1185
01:00:11,440 --> 01:00:15,080
Speaker 1: It turned out to be like the founder just like

1186
01:00:15,160 --> 01:00:17,000
Speaker 1: didn't have the ability to pull it off and was

1187
01:00:17,040 --> 01:00:20,680
Speaker 1: spending some of the money on like clothing and vacations

1188
01:00:20,800 --> 01:00:24,000
Speaker 1: that you know, like that I'm drifting. Sure you can

1189
01:00:24,120 --> 01:00:31,560
Speaker 1: find scams in any nonprofit like category, but the way

1190
01:00:31,640 --> 01:00:33,840
Speaker 1: the New York Times writes about it and like frames

1191
01:00:33,960 --> 01:00:39,680
Speaker 1: this article is that whole argument of like, oh, you

1192
01:00:39,800 --> 01:00:42,240
Speaker 1: think the police are bad at their jobs, Let's see

1193
01:00:42,280 --> 01:00:45,840
Speaker 1: what you say when you're being robbed, is like basically

1194
01:00:47,000 --> 01:00:50,560
Speaker 1: the whole thesis of the argument. And what it comes

1195
01:00:50,640 --> 01:00:53,000
Speaker 1: down to if you read the article is like one

1196
01:00:53,160 --> 01:00:55,480
Speaker 1: person on the team is like, I didn't want to

1197
01:00:55,520 --> 01:00:57,680
Speaker 1: turn him over to the police because I, like he's

1198
01:00:57,720 --> 01:01:01,160
Speaker 1: a black man and I fear it would happen to him.

1199
01:01:01,560 --> 01:01:04,160
Speaker 1: And then another person is like, yeah, but I did

1200
01:01:04,360 --> 01:01:07,960
Speaker 1: turn him over to the attorney general because I know that,

1201
01:01:08,240 --> 01:01:10,800
Speaker 1: like you don't usually call the police on white collar

1202
01:01:10,880 --> 01:01:13,920
Speaker 1: crime because they won't do shit. So anyways, like the

1203
01:01:13,960 --> 01:01:17,280
Speaker 1: attorney general is working on investigation. It might be civil,

1204
01:01:17,400 --> 01:01:20,480
Speaker 1: it might be criminal, but the way they framed it

1205
01:01:20,680 --> 01:01:25,000
Speaker 1: is so much like based on this bad faith reading

1206
01:01:25,360 --> 01:01:28,800
Speaker 1: of any criticism of the police. And it just feels

1207
01:01:28,960 --> 01:01:32,640
Speaker 1: generally like the tone of the mainstream media and the

1208
01:01:33,400 --> 01:01:38,040
Speaker 1: Democratic Party recently is like, boy, those protests in twenty

1209
01:01:38,120 --> 01:01:42,880
Speaker 1: twenty were you know, unpopular. Let's never fight again, babe

1210
01:01:43,200 --> 01:01:47,080
Speaker 1: to the police, and it's like, I don't know, it's

1211
01:01:47,320 --> 01:01:52,760
Speaker 1: just so fucking frustrating. Like and meanwhile, police killings haven't

1212
01:01:53,000 --> 01:01:56,200
Speaker 1: have just like stayed the same or gone up, so

1213
01:01:56,320 --> 01:01:59,600
Speaker 1: like where where are we with this? Like what you know,

1214
01:02:00,040 --> 01:02:02,880
Speaker 1: there were some programs that were funded that like worked

1215
01:02:02,920 --> 01:02:07,080
Speaker 1: really well, Like Denver had a controlled trial of a

1216
01:02:07,160 --> 01:02:09,800
Speaker 1: program that provides housing subsidies to people at risk of

1217
01:02:09,880 --> 01:02:13,400
Speaker 1: homelessness and found a forty percent reduction and arrest. Like

1218
01:02:13,720 --> 01:02:17,360
Speaker 1: there's all these cool examples they get like dashed off

1219
01:02:17,440 --> 01:02:20,040
Speaker 1: really quickly in a New York Times article that has

1220
01:02:20,080 --> 01:02:24,480
Speaker 1: a counterpoint for everything that might suggest that, like there

1221
01:02:24,520 --> 01:02:28,200
Speaker 1: could be alternatives to our fucking terrible idea of a

1222
01:02:28,280 --> 01:02:31,240
Speaker 1: system that if you've been to any other country in

1223
01:02:31,240 --> 01:02:33,040
Speaker 1: the world, you're like, oh, wow, why do we do

1224
01:02:33,120 --> 01:02:34,840
Speaker 1: it the way we do it? But yeah, I'm just

1225
01:02:34,880 --> 01:02:36,720
Speaker 1: curious to hear your thoughts on like where we're at

1226
01:02:36,840 --> 01:02:39,080
Speaker 1: in our conversation in the mainstream.

1227
01:02:39,840 --> 01:02:43,640
Speaker 7: So first of all, we're really lucky in this one way,

1228
01:02:44,080 --> 01:02:47,720
Speaker 7: which is that we are overrun with cool solutions. Like

1229
01:02:47,800 --> 01:02:49,960
Speaker 7: I'm writing a book right now, Like my book it's

1230
01:02:50,000 --> 01:02:52,120
Speaker 7: coming out in twenty twenty six. It's going to be

1231
01:02:52,160 --> 01:02:55,120
Speaker 7: a layperson's guide to the criminal legal system in all

1232
01:02:55,200 --> 01:02:59,800
Speaker 7: of its horribleness, and also solutions, Like I'm going to

1233
01:03:00,160 --> 01:03:02,080
Speaker 7: two thirds of the book on problems, and then I'm

1234
01:03:02,080 --> 01:03:04,240
Speaker 7: going to present a whole bunch of solutions. I had

1235
01:03:04,280 --> 01:03:08,040
Speaker 7: originally intended to write one chapter on solutions. I'm now

1236
01:03:08,080 --> 01:03:09,920
Speaker 7: at like page eighty eight of one hundred of all

1237
01:03:09,960 --> 01:03:13,720
Speaker 7: of these solutions because there are just so many fantastic

1238
01:03:13,840 --> 01:03:17,040
Speaker 7: things happening that have better data than the status quo,

1239
01:03:17,360 --> 01:03:21,680
Speaker 7: Like we don't have data strongly suggesting that police are

1240
01:03:22,320 --> 01:03:28,320
Speaker 7: a feasible preventative mechanism police can disappear problems. They can

1241
01:03:28,440 --> 01:03:30,640
Speaker 7: take people and put them in spaces where they are

1242
01:03:30,680 --> 01:03:33,040
Speaker 7: no longer visible to the general public, and where they

1243
01:03:33,080 --> 01:03:35,280
Speaker 7: may be then violently harmed in ways that make them

1244
01:03:35,320 --> 01:03:37,240
Speaker 7: more likely to engage in crime in the future. So

1245
01:03:37,560 --> 01:03:39,959
Speaker 7: police may be sort of like temporarily making a problem

1246
01:03:40,040 --> 01:03:42,000
Speaker 7: disappear in a way that long term makes it worse.

1247
01:03:42,120 --> 01:03:44,040
Speaker 7: We have that data. You have a ton of data

1248
01:03:44,080 --> 01:03:46,960
Speaker 7: on the Star program in Denver, or Cahoots in Oregon,

1249
01:03:47,120 --> 01:03:49,520
Speaker 7: or you know, other alternatives to police popping up around

1250
01:03:49,520 --> 01:03:52,240
Speaker 7: the country. Massive public support for this. Most voters would

1251
01:03:52,280 --> 01:03:57,120
Speaker 7: love to have mental health first responders, and actually most cops,

1252
01:03:57,120 --> 01:03:58,480
Speaker 7: if you ask them, are like, yes, I would like

1253
01:03:58,560 --> 01:04:00,480
Speaker 7: to also no longer be treated like I'm a trained

1254
01:04:00,520 --> 01:04:02,960
Speaker 7: social worker, because I'm not one, and I would like

1255
01:04:03,040 --> 01:04:05,360
Speaker 7: that to not be part of my job. What's really

1256
01:04:05,760 --> 01:04:09,760
Speaker 7: what bugs me about the perspective you just described right,

1257
01:04:09,800 --> 01:04:11,400
Speaker 7: which is like, Oh, these people who don't want to

1258
01:04:11,480 --> 01:04:15,560
Speaker 7: use the police, what happens when they need the police? Well, okay,

1259
01:04:16,960 --> 01:04:20,320
Speaker 7: when we on election day hear from voters that they

1260
01:04:20,360 --> 01:04:23,120
Speaker 7: are scared to go to their local polling place because

1261
01:04:23,200 --> 01:04:27,080
Speaker 7: there are proud boys outside the polling place intimidating potential voters.

1262
01:04:28,120 --> 01:04:32,400
Speaker 7: No one is saying, well, it's your problem. If you

1263
01:04:32,440 --> 01:04:34,280
Speaker 7: don't like the Proud Boys, don't you just have a

1264
01:04:34,320 --> 01:04:35,800
Speaker 7: way to work at No. We say, okay, this is

1265
01:04:35,880 --> 01:04:38,800
Speaker 7: a problem because people have a legitimate fear. It is

1266
01:04:38,840 --> 01:04:42,560
Speaker 7: a legitimate fear of an organized effort which is intimidating

1267
01:04:42,600 --> 01:04:44,720
Speaker 7: and threatening harm to the general public. And because the

1268
01:04:44,800 --> 01:04:48,000
Speaker 7: general public is afraid, we the government should probably take

1269
01:04:48,040 --> 01:04:51,280
Speaker 7: action to protect the general public. The blind spot with

1270
01:04:51,440 --> 01:04:55,880
Speaker 7: regard to when that organized harmful force is a governmental

1271
01:04:55,960 --> 01:04:59,680
Speaker 7: body is obscene. So by blaming people who are like, hey,

1272
01:04:59,720 --> 01:05:01,840
Speaker 7: I have I'm nervous about calling the police on my

1273
01:05:02,160 --> 01:05:05,200
Speaker 7: black boss, because black men get killed by police at

1274
01:05:05,280 --> 01:05:08,400
Speaker 7: ignordinate rates, and also not to mention that subject to

1275
01:05:08,440 --> 01:05:12,560
Speaker 7: illegitimate prosecutions and overcharging and charge stacking and longer sentences

1276
01:05:12,640 --> 01:05:15,840
Speaker 7: and the incredible damage even of a pretop process. And

1277
01:05:15,920 --> 01:05:17,600
Speaker 7: by the way, I'm saying this with great care because

1278
01:05:17,600 --> 01:05:19,760
Speaker 7: here's a person who's accused and has not been found

1279
01:05:19,760 --> 01:05:24,440
Speaker 7: guilty of anything. So really weighing, hey, do I want

1280
01:05:24,480 --> 01:05:29,160
Speaker 7: to subject this person to all of these risks or

1281
01:05:29,400 --> 01:05:32,400
Speaker 7: is there a better way for me to seek accountability?

1282
01:05:32,480 --> 01:05:39,960
Speaker 7: And truth without those risks of lethality, injustice, ruinousness. That's

1283
01:05:40,000 --> 01:05:42,440
Speaker 7: a fantastic thing for an ordinary citizen to be considering

1284
01:05:42,520 --> 01:05:44,360
Speaker 7: in any government that doesn't say, you know what, I'm

1285
01:05:44,360 --> 01:05:46,800
Speaker 7: going to consider that with you, and I'm going to

1286
01:05:46,840 --> 01:05:49,640
Speaker 7: acknowledge that your fears are real and the problems you

1287
01:05:49,720 --> 01:05:52,960
Speaker 7: highlight are real and work on these problems to come

1288
01:05:53,040 --> 01:05:55,480
Speaker 7: up with something better. Is abrogating its duty to the

1289
01:05:55,520 --> 01:05:58,760
Speaker 7: public in favor of the optics of being pro cop.

1290
01:05:59,600 --> 01:06:04,760
Speaker 5: Right, Yeah, yeah, the pro cop turn that's happened in

1291
01:06:04,880 --> 01:06:06,880
Speaker 5: like the Democratic Party. I mean it's not that they

1292
01:06:06,920 --> 01:06:10,080
Speaker 5: were anti but like, just I saw you retweet an

1293
01:06:10,160 --> 01:06:12,840
Speaker 5: article or a thread about how the platform changed, because

1294
01:06:13,280 --> 01:06:14,840
Speaker 5: I was like, I was definitely looking at a lot

1295
01:06:14,880 --> 01:06:16,680
Speaker 5: of the I was really interested in the foreign policy

1296
01:06:16,720 --> 01:06:18,600
Speaker 5: stuff that was in the platform, and I was like, oh, wow,

1297
01:06:18,680 --> 01:06:21,200
Speaker 5: like you just a ton of one eighties here compared

1298
01:06:21,240 --> 01:06:24,440
Speaker 5: to twenty twenty, and then reading sort of the excerpts

1299
01:06:24,480 --> 01:06:28,680
Speaker 5: on what was happening with policing was also very like, oh,

1300
01:06:29,040 --> 01:06:32,120
Speaker 5: we're really embracing this thing about being like, let's not

1301
01:06:32,320 --> 01:06:35,320
Speaker 5: talk about the death penalty anymore. Let's I know, we

1302
01:06:35,440 --> 01:06:38,640
Speaker 5: were talking about choke holds. Let's like really tamp that down.

1303
01:06:38,720 --> 01:06:42,640
Speaker 5: And it really is wild how much it's become because

1304
01:06:42,680 --> 01:06:44,840
Speaker 5: I think obviously this whole election is set up to

1305
01:06:44,920 --> 01:06:48,280
Speaker 5: be we have a prosecutor and a felon, and so

1306
01:06:48,560 --> 01:06:51,280
Speaker 5: because of that framing, we're going to really lean into

1307
01:06:51,400 --> 01:06:55,200
Speaker 5: a lot of this, like the like the prosecutorial aspects

1308
01:06:55,240 --> 01:06:57,720
Speaker 5: of this and also be make it feel like yeah, man,

1309
01:06:57,800 --> 01:07:00,440
Speaker 5: like the we're the cops again and that's it's okay.

1310
01:07:01,280 --> 01:07:03,880
Speaker 5: That was just kind of like, I mean, I was

1311
01:07:04,000 --> 01:07:06,080
Speaker 5: very cynical in twenty twenty when I saw this sort

1312
01:07:06,120 --> 01:07:08,000
Speaker 5: of like uptaking me, like, yeah, we really need to

1313
01:07:08,040 --> 01:07:10,640
Speaker 5: do something, and that's the most that will happen. I

1314
01:07:10,680 --> 01:07:12,960
Speaker 5: will say that we need to do something. But now

1315
01:07:13,040 --> 01:07:15,480
Speaker 5: to see it like really formally stripped out, you're like, oh, right,

1316
01:07:15,560 --> 01:07:18,520
Speaker 5: right right, this was never a real concern. But I'm

1317
01:07:18,760 --> 01:07:20,680
Speaker 5: how do you sort of perceive that sort of like

1318
01:07:20,800 --> 01:07:23,120
Speaker 5: shift now or at least that now that you know,

1319
01:07:23,240 --> 01:07:26,360
Speaker 5: even in their written platforms, it's just sort of like, yeah,

1320
01:07:26,440 --> 01:07:28,520
Speaker 5: those are those are those are problems, but you know

1321
01:07:28,640 --> 01:07:30,600
Speaker 5: we can address them at some point later.

1322
01:07:31,040 --> 01:07:32,760
Speaker 7: I mean, the death penalty thing, I really don't get

1323
01:07:32,920 --> 01:07:35,160
Speaker 7: because Harris has been against the death penalty for a

1324
01:07:35,200 --> 01:07:38,240
Speaker 7: lot of her career, was criticized as ag for upholding

1325
01:07:38,280 --> 01:07:41,360
Speaker 7: the law instead of acting on a moral objection that

1326
01:07:41,440 --> 01:07:44,840
Speaker 7: she has to death penalty which is super expensive and

1327
01:07:44,960 --> 01:07:47,080
Speaker 7: has resulted in the death of a lot of innocent

1328
01:07:47,160 --> 01:07:49,800
Speaker 7: people because our system gets it wrong a lot, because

1329
01:07:49,840 --> 01:07:53,400
Speaker 7: of things like junk science and bad Eyewinness IDAs and

1330
01:07:53,560 --> 01:07:56,440
Speaker 7: insufficient funding of public defense. So let's just like cabin

1331
01:07:56,480 --> 01:07:58,520
Speaker 7: This is like, I don't I really don't get the

1332
01:07:58,600 --> 01:08:01,800
Speaker 7: Democratic Party stepping away. I'm opposing the death penalty. I

1333
01:08:01,880 --> 01:08:05,640
Speaker 7: think polling on it has not changed dramatically, Like Americans

1334
01:08:05,680 --> 01:08:08,520
Speaker 7: are not like rabidly pro death penalty now, So I

1335
01:08:08,640 --> 01:08:10,720
Speaker 7: really don't get it. But here's what I'll say about

1336
01:08:10,720 --> 01:08:16,400
Speaker 7: the prosecutor versus pellent thing. It's being treated as a

1337
01:08:16,600 --> 01:08:23,519
Speaker 7: sort of vicious backing a violent force against crime. But

1338
01:08:23,640 --> 01:08:27,320
Speaker 7: it doesn't have to be. Prosecutors are unique among lawyers.

1339
01:08:27,439 --> 01:08:29,439
Speaker 7: Rarely will you hear me say nice things about prosecutors.

1340
01:08:29,479 --> 01:08:31,880
Speaker 7: I'm going to now say some nice things about prosecutors.

1341
01:08:32,360 --> 01:08:35,360
Speaker 7: They have an ethical duty to do justice. That is

1342
01:08:35,400 --> 01:08:37,880
Speaker 7: a unique ethical duty. No other kind of lawyer has

1343
01:08:38,000 --> 01:08:40,920
Speaker 7: that duty. Now, I just got done teaching a course

1344
01:08:41,000 --> 01:08:43,080
Speaker 7: to some really talented law students, and in one of

1345
01:08:43,160 --> 01:08:45,280
Speaker 7: my exercises, I made half of them be defense layers

1346
01:08:45,280 --> 01:08:46,920
Speaker 7: and half of them be prosecutors. And I told the

1347
01:08:46,960 --> 01:08:50,960
Speaker 7: prosecutors in a bail argument, you had this unique ethical duty.

1348
01:08:51,000 --> 01:08:53,240
Speaker 7: You have to do justice, and not just justice for

1349
01:08:53,320 --> 01:08:56,519
Speaker 7: the people who were harmed in a crime or who

1350
01:08:56,640 --> 01:08:58,640
Speaker 7: you think of as part of the community. You have

1351
01:08:58,800 --> 01:09:02,320
Speaker 7: to do justice for every That includes the accused person

1352
01:09:02,360 --> 01:09:04,519
Speaker 7: and their family and their kids and their loved ones,

1353
01:09:04,560 --> 01:09:07,880
Speaker 7: that includes everybody. When you talk for the people, you

1354
01:09:08,040 --> 01:09:11,120
Speaker 7: represent everybody. And when I told them that their assignment

1355
01:09:11,160 --> 01:09:14,519
Speaker 7: would be graded on how well they were able to

1356
01:09:14,640 --> 01:09:20,479
Speaker 7: consider everyone's needs safety and justice, they got up there

1357
01:09:20,560 --> 01:09:22,519
Speaker 7: on the record and did radically different things than I've

1358
01:09:22,520 --> 01:09:24,759
Speaker 7: ever seen a prosecutor do in real life. And largely

1359
01:09:24,800 --> 01:09:27,760
Speaker 7: we're thinking of restorative solutions and root causes and like

1360
01:09:28,200 --> 01:09:30,920
Speaker 7: how they could heal a community instead of just punishing

1361
01:09:30,960 --> 01:09:36,519
Speaker 7: and disappearing a person. If what prosecutor means is somebody

1362
01:09:36,600 --> 01:09:40,479
Speaker 7: who is enshrined with governmental authority to do justice for

1363
01:09:40,640 --> 01:09:44,440
Speaker 7: everyone in the community, including people who might be opposed

1364
01:09:44,600 --> 01:09:48,160
Speaker 7: to that very prosecutor, I think it could actually be

1365
01:09:48,240 --> 01:09:53,200
Speaker 7: a very powerful encapsulation of the best version of a leader, right,

1366
01:09:53,320 --> 01:09:55,680
Speaker 7: a person who's going to take this seriously and care

1367
01:09:55,800 --> 01:09:57,960
Speaker 7: for all of our well being and yes, stand up

1368
01:09:58,080 --> 01:10:02,360
Speaker 7: to abuses of people with less power, which is really

1369
01:10:02,439 --> 01:10:04,679
Speaker 7: what we would want prosecutors to stand up to the most.

1370
01:10:04,800 --> 01:10:07,720
Speaker 7: I think certainly it's not being done that way. I

1371
01:10:07,760 --> 01:10:11,200
Speaker 7: think the rhetoric sucks. I think half of Americans have

1372
01:10:11,240 --> 01:10:13,760
Speaker 7: had a loved one locked up. I just think that

1373
01:10:13,840 --> 01:10:16,880
Speaker 7: the rhetoric doesn't have to change. If it was made smarter.

1374
01:10:17,200 --> 01:10:19,840
Speaker 7: In order to be smarter, though, the policy would not

1375
01:10:19,960 --> 01:10:22,080
Speaker 7: have to shift towards tough on crime. It would have

1376
01:10:22,160 --> 01:10:27,520
Speaker 7: to shift towards evidence based, root cause thinking and solutions

1377
01:10:27,560 --> 01:10:30,080
Speaker 7: that shift us towards something better than our shitty status quo.

1378
01:10:30,840 --> 01:10:33,160
Speaker 5: Yeah, yeah, yeah, And now it just feels like, now

1379
01:10:33,280 --> 01:10:35,840
Speaker 5: let's embrace the status quo and bring it closer and

1380
01:10:35,920 --> 01:10:38,840
Speaker 5: closer and closer. But yeah, that's a yeah, such a

1381
01:10:40,240 --> 01:10:43,200
Speaker 5: the whole time, I'm like, wow, it Like the thing

1382
01:10:43,280 --> 01:10:45,000
Speaker 5: that really makes you think a lot too, is like,

1383
01:10:45,080 --> 01:10:48,240
Speaker 5: we have so many people who are prosecutors that ascended politics,

1384
01:10:48,640 --> 01:10:50,840
Speaker 5: and that's why, Like when Kantazi Brown Jackson was like

1385
01:10:50,920 --> 01:10:54,160
Speaker 5: the first public defender who had sat on the Supreme Court.

1386
01:10:54,280 --> 01:10:58,040
Speaker 5: I was like, is that true? Oh my god, oh writ.

1387
01:10:58,080 --> 01:11:00,880
Speaker 7: Large the federal bench is largely I actually read. I

1388
01:11:00,920 --> 01:11:04,640
Speaker 7: wrote a really mean email today, guys like my local representative,

1389
01:11:04,680 --> 01:11:07,400
Speaker 7: who I love, is like moving to run for the

1390
01:11:07,479 --> 01:11:11,320
Speaker 7: state a different state office, and he endorsed. It's a

1391
01:11:11,360 --> 01:11:13,080
Speaker 7: two candidate race. I live in a place with major

1392
01:11:13,160 --> 01:11:15,360
Speaker 7: housing issues. There's just not enough housing for people, cost

1393
01:11:15,400 --> 01:11:17,519
Speaker 7: of housing or too high. And one of the candidates

1394
01:11:17,560 --> 01:11:20,080
Speaker 7: is a housing organizer, a local housing organizer, and the

1395
01:11:20,120 --> 01:11:24,680
Speaker 7: other candidate is a prosecutor. Guess who've got the addressment

1396
01:11:25,600 --> 01:11:28,160
Speaker 7: the prosecutor? And I wrote them a note being like, like,

1397
01:11:28,360 --> 01:11:32,000
Speaker 7: come on, this housing is the issue of our region.

1398
01:11:32,360 --> 01:11:35,560
Speaker 7: If you are going to make prosecution once again a

1399
01:11:35,840 --> 01:11:38,759
Speaker 7: blind path to power, you at least have to justify

1400
01:11:38,840 --> 01:11:41,200
Speaker 7: why you are overlooking someone whose life work is in

1401
01:11:41,320 --> 01:11:43,439
Speaker 7: the zone we most need. And the thing that bugs

1402
01:11:43,479 --> 01:11:46,040
Speaker 7: me about it the most is that it tells young people.

1403
01:11:46,240 --> 01:11:48,280
Speaker 7: I mean, in my work, I work with public defenders

1404
01:11:48,320 --> 01:11:51,040
Speaker 7: all over the country, and I help them expand the

1405
01:11:51,080 --> 01:11:53,360
Speaker 7: practic their practice and expand what they can offer their clients.

1406
01:11:53,360 --> 01:11:56,519
Speaker 7: And I place a lot of new professionals, usually young people,

1407
01:11:56,680 --> 01:11:59,320
Speaker 7: into jobs in public defense, and as they start out

1408
01:11:59,320 --> 01:12:01,120
Speaker 7: their careers, I'm looking at how they think of their

1409
01:12:01,160 --> 01:12:03,200
Speaker 7: career trajectory. They're doing great things, like I'm going to

1410
01:12:03,280 --> 01:12:06,680
Speaker 7: learn all about how fucked up America's public systems are,

1411
01:12:06,720 --> 01:12:08,479
Speaker 7: and I'm going to carry that knowledge into my own

1412
01:12:08,600 --> 01:12:09,400
Speaker 7: change making career.

1413
01:12:09,800 --> 01:12:09,920
Speaker 5: Right.

1414
01:12:10,400 --> 01:12:13,080
Speaker 7: But to everybody else, the vast majority of young people,

1415
01:12:13,160 --> 01:12:16,800
Speaker 7: future lawyers, who are not like these dedicated, brilliant advocates,

1416
01:12:17,360 --> 01:12:19,840
Speaker 7: they think, Okay, I'll be a prosecutor for like two

1417
01:12:19,960 --> 01:12:23,560
Speaker 7: years and then I'll get my elected office. If I

1418
01:12:23,760 --> 01:12:27,759
Speaker 7: just incarcerate young black men and separate families and crush

1419
01:12:27,800 --> 01:12:30,240
Speaker 7: people's dreams and lives and maybe cause a few deaths,

1420
01:12:30,880 --> 01:12:33,120
Speaker 7: then I could be a state senter.

1421
01:12:33,640 --> 01:12:36,000
Speaker 5: Right. I've been vetted right, and I've done.

1422
01:12:35,880 --> 01:12:38,639
Speaker 7: The work right, and it's we shouldn't. We shouldn't make

1423
01:12:39,280 --> 01:12:42,759
Speaker 7: change making power reliant on willingness to her mothers.

1424
01:12:44,120 --> 01:12:48,599
Speaker 1: Yeah, all right, that's gonna do it. For this week's

1425
01:12:48,880 --> 01:12:53,439
Speaker 1: weekly Zeitgeist, Please like and review the show if you like,

1426
01:12:53,760 --> 01:12:56,479
Speaker 1: The show means the world to Miles.

1427
01:12:56,600 --> 01:12:58,640
Speaker 5: He needs your validation.

1428
01:12:58,800 --> 01:13:02,120
Speaker 1: Folks. I hope, hope you're having a great weekend and

1429
01:13:02,560 --> 01:13:04,200
Speaker 1: I will talk to you Monday. Bye.