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Speaker 1: Hello the Internet, and welcome to season two eighty eight,

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Speaker 1: Episode one of Deadly Say Guys. It's a production of iHeartRadio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into America's share consciousness. And it is Monday, May twenty second,

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Speaker 1: twenty twenty three. Where did the days go?

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Speaker 2: I know, I know, I wish I knew what day

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Speaker 2: it was, but I don't. You said May twenty second,

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Speaker 2: May twenty second, just to confirm that. Okay, okay, just

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Speaker 2: it's hard for me to keep up with other days.

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Speaker 1: Mayah, Where am I? What's the day again? What's the

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Speaker 1: day again? I'm sorry I didn't have to think.

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Speaker 2: Well, hold on, hold on, I have to scroll because

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Speaker 2: normally when we do it on Fridays and I go

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Speaker 2: to the tomorrow hyperlink, it's Saturday, and I have to

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Speaker 2: actually navigate to the twenty second.

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Speaker 1: Here we go.

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Speaker 2: It's May twenty second. You know what that means. It's

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Speaker 2: International Being You Day. National Solitaire Day. Shout out to

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Speaker 2: all the people on Windows like or kids in schools

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Speaker 2: on the computer library who love to play Solitaire like me.

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Speaker 1: World Aloma Day. That's still a thing. Yeah, tall, turn

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Speaker 1: on the computer.

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Speaker 2: Yeah okay, oh, man, it's one of the great pastimes.

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Speaker 2: And then picking the designs like on the back of

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Speaker 2: the cards. I like those, see shelf myself. It's also

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Speaker 2: National Vanilla Pudding Day, so shout out to Rondasantish, National

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Speaker 2: Bio Musical Instrument Day and National Maritime Day.

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Speaker 1: Was it vanilla pudding that he was finger blasting?

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Speaker 2: I know it was some kind of cup plastic cup

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Speaker 2: pudding that he was using his fingers digital.

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Speaker 1: He called it a digital spoon.

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Speaker 2: I believe just to be a fancy but it's actually

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Speaker 2: a digital spoon. You mean, digit says in your fingers. Yes, yes,

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Speaker 2: Victor's telling us his chocolate.

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Speaker 1: Okay, that's how I pictured it. Something about me and

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Speaker 1: Ron DeSantis were always locked locked in together, kind of

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Speaker 1: on the same page.

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Speaker 3: Uh.

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Speaker 1: My name is Jack O'Brien aka My Jack. Hosts the

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Speaker 1: t d Z. Your Jack supports the ge O p

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Speaker 1: My Jack drops the Daily double four Free. Your Jack

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Speaker 1: released on daily Wire for a fee. My Jack thighs

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Speaker 1: bigger than a bridge. Your jacks look like a little kids.

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Speaker 1: Jack plumper is larger than the chargers the whole team.

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Speaker 1: Your jacks they looking up scene. Jack's thighs are like supersized.

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Speaker 1: Your jacks look like two fris oh man. This courtesy

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Speaker 1: of Esbah Yeah, who said I could have kept going,

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Speaker 1: but we all get it. He got thick af thighs. Brother,

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Speaker 1: mm hm, I appreciate it. This is another rap song

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Speaker 1: that I was not familiar with, Mike Yeah by Mickey Appall. Yeah,

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Speaker 1: it's it's all, it's all, It's all just stupid. It's

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Speaker 1: all stupid. Miles Well, speaking of Miles, I'm thrilled to

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Speaker 1: be joined as always by my co host, mister Miles

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Speaker 1: Grad Miles Grand aka he.

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Speaker 2: On the Floorida Tour would put in on his hand,

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Speaker 2: be in a fucking disgrace with trans writes into can okay,

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Speaker 2: that's about rock saying to shout out to.

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Speaker 1: Race Act on the discord.

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Speaker 2: We'll hit us with that wonderful tribe called Quest Award

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Speaker 2: Tour mash up where we reference Rond Loick. We got

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Speaker 2: it all, we got it all talented talented listeners. You

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Speaker 2: know that one really got me on a tour. Well, Miles,

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Speaker 2: we are thrilled to be joined by an author and

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Speaker 2: podcast host ye know from her shows Crime Writers on

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Speaker 2: the Netflix show You Can't make this up And these

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Speaker 2: are their Stories the Law and Order podcast, which I

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Speaker 2: believe I guessed it.

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Speaker 1: On many years ago. Please welcome to this show, Rebecca Levoy.

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Speaker 4: Where's my rap song? Come on?

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Speaker 1: Where? What's your favorite?

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Speaker 2: I would say, what's your favorite karaoke song?

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Speaker 4: Oh? God, Kevin and I do love shack together. It's

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Speaker 4: oh something.

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Speaker 2: If you see a fated sign at the side of

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Speaker 2: the road that says sixteen miles.

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Speaker 1: To the.

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Speaker 4: S, Yeah, that kind of me.

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Speaker 2: I love.

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Speaker 1: That's my favorite voice to do. Yeah, I gotta say

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Speaker 1: his his uh level of difficulty much lower than yours,

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Speaker 1: letting them.

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Speaker 5: Off easy, send it like that, and I am singing.

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Speaker 1: That high note I.

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Speaker 4: Choose, like which girl I want to be?

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Speaker 1: Man, you're like doing costume changes, switching between the two.

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Speaker 4: Rip my ponytail around.

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Speaker 1: She's like one of those singers, is one of the

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Speaker 1: one of the great voices. Just the pipes.

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Speaker 4: Yeah, really, I'm just you pulling.

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Speaker 1: You're pulling that off. My My hat's off to you.

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Speaker 4: No, there's like a drunken component of Carrio. You know.

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Speaker 4: He doesn't matter.

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Speaker 1: Yeah, people don't care.

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Speaker 4: I mean they do, but they don't.

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Speaker 1: Right. Where are you coming to us from?

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Speaker 4: I live in New Hampshire if you can believe Hampshire. Yeah,

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Speaker 4: live for or.

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Speaker 1: Die, that's right.

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Speaker 2: There a few times I hockey like a competitive hockey,

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Speaker 2: So I go to New Hampshire in the New England

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Speaker 2: area a lot. So the old man on the mountain

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Speaker 2: before it all it started crumbling.

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Speaker 4: Oh ri ip old man.

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Speaker 5: Yeah, yeah, you hear what happened up here in the

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Speaker 5: news around the old man in the mountain on the

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Speaker 5: anniversary the state legislator who compared it to nine to eleven.

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Speaker 1: His face falling off was compared to nine to eleven. Yes,

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Speaker 1: it wasn't.

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Speaker 2: Vandalism, right, it's like just natural erosion.

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Speaker 4: No, it was a natural erosion.

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Speaker 1: It was mother terrorism.

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Speaker 5: Although my son Henry Nepo Baby podcaster put out a

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Speaker 5: version of his show today called who Did five three,

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Speaker 5: which is about that state legislator.

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Speaker 1: Sounds very You've a reased episode of crime writers on

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Speaker 1: you were talking about his the impression he does of

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Speaker 1: you that cracked.

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Speaker 4: Me up, which one is that it's.

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Speaker 1: Like, uh, you know Bone Valley?

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Speaker 4: Have you ever heard of Bone Valley?

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Speaker 1: Which is a crime podcast, which.

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Speaker 5: Is all I went around saying for like three months,

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Speaker 5: fucking work people listen to the damn show and now

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Speaker 5: it's winning awards, so it obviously worked. Whatever you got

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Speaker 5: the word val I'll own it. It's not a porno podcast,

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Speaker 5: even though it sounds like one. Actually pretty good.

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Speaker 2: Yeah, Bone Valley really could be about the San Fernando

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Speaker 2: Valley's porn.

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Speaker 4: It could.

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Speaker 1: All right, Okay, well, Rebecca, we're going to get to

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Speaker 1: know you a little bit better in a moment. First,

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Speaker 1: we're going to tell our listeners a couple of the

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Speaker 1: things we're talking about. First of all, we're gonna pick

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Speaker 1: your brain about just true crime, the state of true crime,

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Speaker 1: what our obsession with true crime means. We will talk

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Speaker 1: about the amazing human ship post Elon Musk, because he's

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Speaker 1: just out here ship posting in reality. And we'll probably

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Speaker 1: talk about workplace drug testing, which I didn't realize was

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Speaker 1: invented by the Reagans. That wasn't a thing before and

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Speaker 1: in most other countries that are like, guess, not a

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Speaker 1: thing period. That's weird.

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Speaker 2: I was so I was so nervous when you piss

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Speaker 2: tested me, when you first wanted me to like attention

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Speaker 2: to work with you on the pod.

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Speaker 1: I didn't know that it was just like a I

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Speaker 1: was kink of mine. Well, and I'm also just glad.

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Speaker 2: That like you were chilled, you clearly didn't say anything

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Speaker 2: the fact that's putting lemonade in the cup. Yeah, all right, cool,

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Speaker 2: looks good. Well, I think, uh, we're good.

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Speaker 1: We're good here.

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Speaker 2: Yeah, just take it to the lab really quick. And

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Speaker 2: you you turned your back and then you burked. I

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Speaker 2: think gross. All good, all that plenty more.

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Speaker 1: But first, Rebecca, we like to ask our guests, 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: I have my search history right now. Why does my

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Speaker 5: dog eat grassed when he feels sick?

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Speaker 1: Classic?

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Speaker 4: I also have what does disavow mean?

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Speaker 5: Which is it like one of those things where like

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Speaker 5: you're writing something or doing something and you're like, sure,

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Speaker 5: you one hundred percent know what a word means, but

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Speaker 5: then when you use it.

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Speaker 4: You're like, am I using that right? And my fucking

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Speaker 4: stupid exactly exactly?

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Speaker 5: Yeah, So I have Those were my two most recent

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Speaker 5: search terms, and they obviously go together very well.

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Speaker 1: And was this just a casual text message where you

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Speaker 1: were using the word disavow?

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Speaker 4: No?

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Speaker 5: No, I actually did an event on Wednesday night with

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Speaker 5: uh I work on the my day job.

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Speaker 4: I work in Hampshire Public Radio.

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Speaker 5: We did bear Brook and we had an event and

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Speaker 5: I was hosting it and like I was talking about

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Speaker 5: somebody disavowing their role like in a wrongful conviction. But

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Speaker 5: I was like writing the script and I was like disavow.

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Speaker 5: I don't know, so I was, you know, I wasn't

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Speaker 5: gonna be free was I don't know it was. I

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Speaker 5: don't want to be stupid, so looked it up. Yeah,

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Speaker 5: it was right, it was right.

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Speaker 4: I knew it was right.

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Speaker 1: But you know, why wait?

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Speaker 2: Why do I know dogs eat they eat the grass

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Speaker 2: to like help them vomit.

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Speaker 5: Right, yes, but I have a dog that he gets

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Speaker 5: sick so often. He's a like wheat and terrier, very

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Speaker 5: sensitive stomach situation. And you know, so we're at the

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Speaker 5: point now Whe're like he just wants to go out

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Speaker 5: and need grass. Don't take him out them. And at

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Speaker 5: one point when he was he was young, we had

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Speaker 5: just mowed the lawn and he ate all the grass

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Speaker 5: on the moje lawn and they made a giant ball

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Speaker 5: in his stomach and he had to have surgery to

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Speaker 5: get it. Oh no, so I actually, but he's twelve

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Speaker 5: now and it's never occurred to me to like look

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Speaker 5: up why. I was just like, he's going to be dead,

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Speaker 5: and I, well then have looked it up. But no,

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Speaker 5: it's just because like they don't really know. Either it

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Speaker 5: makes them want to throw up or it sues their stomach,

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Speaker 5: but apparently it's not that bad for him unless they

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Speaker 5: eat right after you mow your lawn, which don't.

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Speaker 2: You that, Yeah, don't just don't leave it all out

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Speaker 2: there for all you neat grass buffet, don't do that.

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Speaker 1: Turns out I was right about disavow because I was like, uh,

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Speaker 1: maybe I've had it wrong exactly. It's responsibility or support.

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Speaker 4: For right right.

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Speaker 5: It's not like non plus, which literally everybody uses the

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Speaker 5: everybody yeah, to.

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Speaker 1: The point that I think we can just all start

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Speaker 1: using no. No.

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Speaker 5: I think actually I think the dictionary people actually just

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Speaker 5: allowed that. And that actually pisses me off because yeah, yeah, yeah,

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Speaker 5: I'm snob about stuff like that usually, except that, like

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Speaker 5: that's one where it's like, come on, get your shit together,

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Speaker 5: nonplust people, get your shit together.

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Speaker 1: I don't like it, so I'll say I was nonplussed.

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Speaker 4: Yes, yes, right, you cannot you cannot take any more.

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Speaker 4: You're non plussed out of your mind.

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Speaker 1: So the yeah, the dictionary Oxford Dictionary has surprised and

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Speaker 1: confused so much that they're unsure how to react. As

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Speaker 1: the number one meaning and then number two of a

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Speaker 1: person not disconcerted, unperturbed. And this is informal North Americans.

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Speaker 1: They're just like, we gotta, we just gotta, like, let

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Speaker 1: the North Americans fuck this up.

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Speaker 4: It's the dummy definition.

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Speaker 1: Yeah, what is something that you think is overrated besides sandwiches? Yes? Wow?

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Speaker 4: Quitting Twitter and indignation overrated?

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Speaker 1: Yeah?

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Speaker 5: Yeah you know why? Yeah, because no one noticed? Is

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Speaker 5: when you stop doing something, no one, no one notices. Yeah,

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Speaker 5: And like every social media platform sucks in its own

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Speaker 5: special way. Every I mean Elon obviously Extra sucks, which

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Speaker 5: I guess we're going to be talking about, but like

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Speaker 5: no one notices when you stop doing something. I've seen

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Speaker 5: a specific news organization that I may or may not

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Speaker 5: have a loose affiliation with, you know, quit in a.

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Speaker 4: Very public way.

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Speaker 5: My my news outlet did too, and I you know

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Speaker 5: didn't make us quit, you know, or the reporters of

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Speaker 5: that news organization quit. But I'm like, what an opportunity

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Speaker 5: you had when you're actually being talked about to do

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Speaker 5: something else with this besides just stop doing anything, right

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Speaker 5: and now, like you're not doing anything with it, Like

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Speaker 5: you could have raised money, you could have like top

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Speaker 5: people with journalism is but like when you're not doing anything,

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Speaker 5: nobody notices you're not doing anything. So I just think

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Speaker 5: that there's like taking your toy. Remember it happened with

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Speaker 5: Reddit like a bunch of years ago, Like what happened

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Speaker 5: with that? Nothing like nothing, So I don't know. I

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Speaker 5: just I just think that there's some like a little

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Speaker 5: bit of just like virtue signaling nothing burgeress in quitting

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Speaker 5: Twitter and indignation right now. I mean maybe someday it

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Speaker 5: will be important, but to me it's a little bit overrated.

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Speaker 4: I'm sorry if either one of you did that. And

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Speaker 4: I just like, I don't know.

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Speaker 1: It's like twelve to thirteen times a day about I'm

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Speaker 1: quitting Twitter. Yeah, each post is like that's it you've

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Speaker 1: done at this time, musk. But yeah, I guess the

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Speaker 1: fact that I've been doing that for three months now, probably.

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Speaker 2: I'll never quit because I never thought I would have

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Speaker 2: this many followers and I like to look at the number.

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Speaker 2: Why would I do that now? At the top of

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Speaker 2: my game.

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Speaker 1: I'm true, and may I say to the followers, you guys,

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Speaker 1: stop quitting because it's making our numbers go down. What

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Speaker 1: fuck that makes us sad? You're burning me?

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Speaker 2: You burned me listeners who quit Twitter?

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Speaker 1: My number went down, Like Jack.

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Speaker 5: I was looking at your following number. You're like about

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Speaker 5: twice as many as me. Like I could fill like

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Speaker 5: a small college football stadium, you could feel like a

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Speaker 5: big college football stadium. Like you couldn't like show up

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Speaker 5: somewhere and like forty five thousand people would show up,

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Speaker 5: right right, that's true.

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Speaker 1: Yeah, they're all very loyal too.

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Speaker 5: And they're all real people.

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Speaker 1: The bonds of mine. Yeah, them robots and they're all

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Speaker 1: they're all real. Yeah, they love me like family members.

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Speaker 1: I have a forty five thousand person family.

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Speaker 5: They're not going to hang out flags in front of

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Speaker 5: their house after they graduate. You.

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Speaker 2: It's weird how I can get twelve thousand of them

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Speaker 2: to say the exact same thing to me at the

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Speaker 2: same time. Yeah, what's there? That's how that's all on

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Speaker 2: the same page.

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Speaker 1: They are. Wait, and then sandwiches are overrated? You just

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Speaker 1: kind of skip past that.

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Speaker 4: Yeah, I sandwiches to bear the lead.

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Speaker 1: Yeah, all sandwiches.

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Speaker 5: Sandwiches, well, not real cheese, obviously.

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Speaker 1: I like, obvious, obviously not one of the three most

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Speaker 1: popular sandwiches.

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Speaker 5: The world's greatest hangover food is obviously not overrated. Okay, okay,

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Speaker 5: but yeah, I don't get I just I've never understood

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Speaker 5: like the obsession with sandwiches. I know people love sandwiches

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Speaker 5: for me personally, sure, No, I'm not.

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Speaker 2: It's like the mania, like sandwich mania that's overrated or I.

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Speaker 5: Just I just I don't understand, like when people are like, oh,

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Speaker 5: we're going to bring in lunch for this meeting, bringing

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Speaker 5: in sandwiches, and everyone's like yeah, and I'm like yeah,

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Speaker 5: right right, pizza, yeah, sandwiches. No, Like it's just the

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Speaker 5: stuff in the middle is a good part, and like

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Speaker 5: I have to get through the ship on the outside

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Speaker 5: to get to.

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Speaker 4: Stuff in the middle.

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Speaker 2: You're almost like Trump with pizza, You're like, nah, not,

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Speaker 2: the bread is just the top part.

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Speaker 1: Scrape it off.

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Speaker 4: Thank you, Thank you for that very complimentary comparison.

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Speaker 2: I get that, look, I get the sort of singular

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Speaker 2: focus though it's just sort of like no, no, no,

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Speaker 2: that's filler. You want the meats and the cheeses right there.

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Speaker 5: That's the fucking I'm just not a huge, huge bread person.

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Speaker 5: I mean, I'm not like anti carbs. I fucking love carbs,

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Speaker 5: but I'm not like when people who's.

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Speaker 4: Like, I love bread, right, and then people are.

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Speaker 5: Always like, you'll love it if you have the bread

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Speaker 5: I make, And then I'm like, no, one fucking won't,

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Speaker 5: Like I don't really, It's like, it's just it's just bread.

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Speaker 5: It's just like it's not a special. It's just my opinion.

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Speaker 5: It's my opinion. Not everybody agrees.

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Speaker 4: It's okay.

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Speaker 5: I have had I have had great bread. Get me,

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Speaker 5: don't get me wrong. There is bread it's better than

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Speaker 5: other bread.

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Speaker 4: I believe that.

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Speaker 1: Have you tried the they there's this thing that I

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Speaker 1: have out here in La called sliced bread where they yeah, yeah,

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Speaker 1: it's not just one big hunk. It's really the greatest thing.

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Speaker 4: It doesn't come out of a stone oven. It's not artisanal.

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Speaker 1: Is that what you're saying?

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Speaker 2: Wonder that's it? That's good stuff. Have you tried to

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Speaker 2: wonder the stuff?

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Speaker 1: Slice bread gets so much credit from people all the time.

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Speaker 2: Have you seen like those clips when like Americans are

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Speaker 2: amazed at like the bread slicers in Europe when you

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Speaker 2: go to a store and like, oh, there's like I've

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Speaker 2: just seen a genre of video, like Americans whose minds

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Speaker 2: are blown buying like a loaf of bread at a

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Speaker 2: European grocery store that like you can then take to

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Speaker 2: a machine that just like slices it fresh.

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Speaker 1: Yeah. I was just gonna say coffee. Yeah you know, yeah,

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Speaker 1: you just loaded in.

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Speaker 2: I might be in Germany or something like that, and

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Speaker 2: it just like cleanly just slices it up, so you

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Speaker 2: have like good like your loaf is actually as fresh

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Speaker 2: as possible or whatever, and.

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Speaker 1: Wow, it just slices it right here. And I'm like,

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Speaker 1: and I watched it.

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Speaker 2: I'm like, come on, man, act like you're I'm like,

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Speaker 2: it's just slices, right.

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Speaker 5: The chill forgot Yeah yeah, act like you've been here.

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Speaker 1: That shit does make it Like grinding your coffee beans

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Speaker 1: right before you brew the coffee really does make a difference.

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Speaker 1: I'm sure, Like, now now I want the I want

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Speaker 1: a unsliced wonderbread loaf.

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Speaker 2: Something that even thank you, I'll take it home just

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Speaker 2: yeah with your friend and I have just doing the

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Speaker 2: most uneven slices.

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Speaker 5: You ever tried to cut wonderbread or like with a knife,

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Speaker 5: you can't do it.

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Speaker 1: It's just like but yeah, yeah, like a non Newtonian substances.

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00:17:09,680 --> 00:17:14,920
Speaker 1: Neither air is it's neither gas nor solid nor liquid. Yes, yeah,

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Speaker 1: the knife does know what to do with it. What

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Speaker 1: is something that you think is underrated?

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Speaker 4: Oh it's easy HGTV underage. So here's the thing, Like,

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Speaker 4: how many people watch Succession?

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Speaker 1: Really?

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Speaker 5: I watched Succession, don't get me wrong, but like a

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Speaker 5: couple million people watch it when it's on, and then

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Speaker 5: a couple of million people watch it later. Right, that's it.

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Speaker 5: Forty four million people watch HGTV.

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Speaker 4: I'm not kidding.

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Speaker 5: Like, this is a show called Rock the Block. That's

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Speaker 5: like they're one of their like big competition like prestige shows.

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Speaker 5: Fourteen million people fucking watch that show. And there's no

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Speaker 5: like think pieces about that shit.

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Speaker 4: None. Everybody watches HGTV.

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00:17:58,840 --> 00:18:02,400
Speaker 5: Everybody has seen flip Flock, everybody has seen House Hunters,

382
00:18:02,480 --> 00:18:05,080
Speaker 5: everybody has seen love It or list it, and you

383
00:18:05,400 --> 00:18:07,800
Speaker 5: talk about it, you can talk about it with anyone,

384
00:18:07,880 --> 00:18:11,680
Speaker 5: and everyone is conversant in HGTV and there's no fucking

385
00:18:11,680 --> 00:18:17,719
Speaker 5: thing pieces about it. And it makes me crazy, it's

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Speaker 5: the best.

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Speaker 4: I think it's the best. Oh yeah.

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Speaker 5: So it's basically like it's kind of an all stars

389
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Speaker 5: type show where they bring on hosts of other shows

390
00:18:25,600 --> 00:18:28,359
Speaker 5: and they have four very expensive houses, and over a

391
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Speaker 5: period of six weeks they have them compete room by

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Speaker 5: room to like do your best kitchen, do your best

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Speaker 5: living room, do your best whatever, and then at the end,

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Speaker 5: one of the team's wins, and then they name the

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Speaker 5: block after that team. It's just it's a very like

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00:18:43,400 --> 00:18:46,520
Speaker 5: low stakes thing where it's just like really fun media.

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Speaker 5: Oh yeah, yeah, basically it's basically aspirational, but it's just

398
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Speaker 5: just like you know, but I'll tell you it's it's

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Speaker 5: it's one of the best edited because HGTV's editing is

400
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Speaker 5: really frustrating, but it's one of the best edited shows

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00:18:59,280 --> 00:19:01,120
Speaker 5: that they make, which was makes a good sense.

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00:19:00,920 --> 00:19:04,360
Speaker 2: Right right right. I was just also reading like kind

403
00:19:04,359 --> 00:19:07,639
Speaker 2: of I think piece about HGTV. But it's impact on

404
00:19:07,840 --> 00:19:13,480
Speaker 2: American homes and the like just monotone aesthetic that exists

405
00:19:13,520 --> 00:19:17,240
Speaker 2: now in like homes because everyone has everyone's watching the

406
00:19:17,359 --> 00:19:20,800
Speaker 2: same fucking way of flipping house that like like that

407
00:19:20,840 --> 00:19:24,399
Speaker 2: we've come to known that like weird gray Property Brothers

408
00:19:24,680 --> 00:19:27,919
Speaker 2: or like that great like but specifically how that floor

409
00:19:28,000 --> 00:19:30,720
Speaker 2: has taken over the United States thanks to like HGTV

410
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Speaker 2: type shows.

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Speaker 4: And I was like, yeah, that's theres awful. It really

412
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Speaker 4: is that, like that like light gray vinyl thing and.

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Speaker 1: Look, no shade.

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Speaker 2: If that's the floor you got, just if you love it.

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Speaker 4: Love it, if you love it, but you're not gonna

416
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Speaker 4: love it, and.

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Speaker 1: Like I would, it would.

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Speaker 2: And it's true though that you say, like it's I've

419
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Speaker 2: noticed even like when I've babysat like my young nieces

420
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Speaker 2: or nephews, I could put House.

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Speaker 1: Hunters on and they fuck with it.

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Speaker 2: Yeah, even like little kids are like like they're just

423
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Speaker 2: like watching. I'm like, is this interesting to you? They're

424
00:20:02,320 --> 00:20:06,080
Speaker 2: like they're like introduce They're all different rooms. Yeah, like

425
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Speaker 2: different rooms in another country.

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Speaker 5: I'm like, okay, cool, Yeah, international, super fun, international, super fun.

427
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Speaker 5: It's like, did you want to live in the house

428
00:20:13,880 --> 00:20:16,919
Speaker 5: that your boyfriend wants, which is twelve thousand dollars over budget?

429
00:20:17,160 --> 00:20:18,240
Speaker 5: Do you want to live in the house that is

430
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Speaker 5: exactly in budget but horribly disappointing, or do you want

431
00:20:21,160 --> 00:20:23,480
Speaker 5: to live in the hovel by the beach that you

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Speaker 5: have to piss outside.

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Speaker 2: Which one do you want?

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Speaker 1: Yeah?

435
00:20:27,119 --> 00:20:30,119
Speaker 2: Always the spectrum so wacky, yeah, yeah, yeah. And it

436
00:20:30,160 --> 00:20:32,200
Speaker 2: also helps for people who like if you're like, man,

437
00:20:32,200 --> 00:20:34,040
Speaker 2: I got to get out of the US watch House

438
00:20:34,080 --> 00:20:37,440
Speaker 2: Hunters and you're like, that's the rent over there, right,

439
00:20:37,560 --> 00:20:40,200
Speaker 2: like the fuck, yeah, I'm going to live in Lisbon.

440
00:20:40,760 --> 00:20:41,240
Speaker 1: There you go.

441
00:20:41,840 --> 00:20:44,520
Speaker 2: All right, let's take a quick break and we'll be

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00:20:44,640 --> 00:20:56,800
Speaker 2: right back. And we're back.

443
00:20:56,960 --> 00:21:01,560
Speaker 1: We're back, And Rebecca, you you spend a lot of

444
00:21:01,600 --> 00:21:06,000
Speaker 1: time talking about writing about true crime as a genre,

445
00:21:06,480 --> 00:21:09,600
Speaker 1: which is and it's in the news now NPR is

446
00:21:09,640 --> 00:21:15,439
Speaker 1: debunking like the wave of fentanyl poisonings we were seeing

447
00:21:15,480 --> 00:21:16,120
Speaker 1: from police.

448
00:21:16,400 --> 00:21:19,040
Speaker 4: Did you scare quotes around fentanyl poisoning?

449
00:21:19,160 --> 00:21:24,240
Speaker 1: Yes, yes, always really assume implied scare quotes around police

450
00:21:24,359 --> 00:21:25,359
Speaker 1: and fentanyl.

451
00:21:25,040 --> 00:21:27,480
Speaker 4: Poisoning around police and just about anything.

452
00:21:27,520 --> 00:21:29,439
Speaker 1: Right exactly. So that's kind of what I wanted to

453
00:21:29,480 --> 00:21:32,520
Speaker 1: just get your Like I've talked about this before on

454
00:21:32,560 --> 00:21:35,960
Speaker 1: the show, but it does feel like the thing that

455
00:21:36,080 --> 00:21:40,080
Speaker 1: is different about true crime just narratively, Like obviously the

456
00:21:40,119 --> 00:21:44,360
Speaker 1: big differences that like between I grew up on crime

457
00:21:44,480 --> 00:21:48,000
Speaker 1: shows and you know what like Law and Order or

458
00:21:48,160 --> 00:21:51,239
Speaker 1: you know, movie crime movies where the police were at

459
00:21:51,359 --> 00:21:56,080
Speaker 1: least competent, where there was a competent police officer who

460
00:21:56,119 --> 00:22:01,440
Speaker 1: was like pushing back against the corruption and you know, inefficiencies,

461
00:22:02,000 --> 00:22:06,000
Speaker 1: and then like true crime, the main myth that it

462
00:22:06,160 --> 00:22:10,919
Speaker 1: seems to be debunking as a genre is that the

463
00:22:11,000 --> 00:22:17,840
Speaker 1: police are ever competent and ever like there's so rarely

464
00:22:18,040 --> 00:22:21,159
Speaker 1: like that the default seems to be. And then the

465
00:22:21,160 --> 00:22:24,840
Speaker 1: police fucked this up, Like there were all these people

466
00:22:25,200 --> 00:22:28,040
Speaker 1: who should have been interviewed, like all these things that

467
00:22:29,320 --> 00:22:33,400
Speaker 1: your response as a rational human being would be like, oh, well,

468
00:22:34,119 --> 00:22:36,120
Speaker 1: you'd't want to talk to that person or you'd want

469
00:22:36,160 --> 00:22:40,639
Speaker 1: to follow that line of reasoning, and the police just

470
00:22:41,080 --> 00:22:44,200
Speaker 1: get it wrong, like time after time after time, which

471
00:22:44,200 --> 00:22:47,119
Speaker 1: I think adds to the stakes of true crime because

472
00:22:47,600 --> 00:22:50,600
Speaker 1: it kind of opens people up to a reality where

473
00:22:50,640 --> 00:22:54,520
Speaker 1: like the police aren't actually there to keep us safe,

474
00:22:54,960 --> 00:22:59,320
Speaker 1: and so the world is much more dangerous in that respect,

475
00:22:59,400 --> 00:23:03,040
Speaker 1: or at least it's like much less you know, yeah,

476
00:23:03,080 --> 00:23:06,040
Speaker 1: I guess more dangerous and less safe than like there's

477
00:23:06,080 --> 00:23:08,480
Speaker 1: not this default that we've always been told there is

478
00:23:08,680 --> 00:23:11,320
Speaker 1: with like you just call the police and they'll they'll

479
00:23:11,359 --> 00:23:13,760
Speaker 1: handle it, and they'll make it right, Like, do you

480
00:23:13,840 --> 00:23:17,560
Speaker 1: think of that as kind of a constant in true

481
00:23:17,560 --> 00:23:21,280
Speaker 1: crime or like at least a narrative difference that you

482
00:23:21,359 --> 00:23:22,800
Speaker 1: see repeatedly happening.

483
00:23:23,200 --> 00:23:25,520
Speaker 4: Well, it's certainly a narrative difference to white people. It's

484
00:23:25,560 --> 00:23:27,680
Speaker 4: not a narrative difference to people of color who've never

485
00:23:27,720 --> 00:23:30,800
Speaker 4: trusted the cops very rightly because they know that they've

486
00:23:30,840 --> 00:23:32,800
Speaker 4: been getting it wrong forever and ever and ever.

487
00:23:33,320 --> 00:23:35,919
Speaker 5: But yeah, So the couple things going on. One is

488
00:23:36,040 --> 00:23:40,440
Speaker 5: obviously police corruption. Police misconduct has obviously been sort of

489
00:23:40,600 --> 00:23:44,520
Speaker 5: unveiled more in the last few years, and journalism is

490
00:23:44,600 --> 00:23:47,800
Speaker 5: starting to finally catch up by not just taking the

491
00:23:47,840 --> 00:23:49,919
Speaker 5: police at their word when they get a statement from

492
00:23:49,960 --> 00:23:50,320
Speaker 5: the cops.

493
00:23:50,359 --> 00:23:52,160
Speaker 4: They don't just print it or they don't just say

494
00:23:52,200 --> 00:23:54,160
Speaker 4: police say X. They do.

495
00:23:54,320 --> 00:23:56,159
Speaker 5: Still, don't get me wrong, it happens a lot on

496
00:23:56,200 --> 00:23:58,880
Speaker 5: TV news, It happens a lot in like quick turn stories,

497
00:23:59,480 --> 00:24:00,920
Speaker 5: but it doesn't happened times.

498
00:24:01,359 --> 00:24:03,120
Speaker 4: It doesn't happen all the time. It's happening.

499
00:24:03,240 --> 00:24:07,679
Speaker 5: It's happening there there is now journalism that questions it.

500
00:24:07,720 --> 00:24:10,200
Speaker 5: I'm not saying it doesn't happen. But the other thing

501
00:24:10,280 --> 00:24:14,000
Speaker 5: that is now sort of being unveiled is aside from

502
00:24:14,000 --> 00:24:18,080
Speaker 5: misconduct and all that stuff, is that police are trained

503
00:24:18,119 --> 00:24:22,240
Speaker 5: to win and close cases and not get to the truth.

504
00:24:22,920 --> 00:24:26,919
Speaker 5: And it's that training and it's that system that leads

505
00:24:26,960 --> 00:24:30,840
Speaker 5: to mistakes and misconduct. And you know, I have a

506
00:24:30,920 --> 00:24:33,719
Speaker 5: very clear point of view on this that like some

507
00:24:33,720 --> 00:24:37,159
Speaker 5: people don't agree with. It's like people think, like, you

508
00:24:37,200 --> 00:24:39,000
Speaker 5: know what, he's not a bad guy. He woke up

509
00:24:39,000 --> 00:24:41,040
Speaker 5: and he wouldn't wake up this morning thinking I'm gonna

510
00:24:41,040 --> 00:24:42,680
Speaker 5: get the wrong guy and put the wrong guy in prison.

511
00:24:42,760 --> 00:24:44,080
Speaker 5: This is just the way he was trained in the

512
00:24:44,080 --> 00:24:46,399
Speaker 5: way the system works. The bottom line is if you

513
00:24:46,560 --> 00:24:48,840
Speaker 5: are systemically put in the wrong guy in prison, even

514
00:24:48,880 --> 00:24:51,000
Speaker 5: if you're like a good uncle, you are actually a

515
00:24:51,000 --> 00:24:51,480
Speaker 5: bad guy.

516
00:24:51,560 --> 00:24:53,480
Speaker 4: I mean, that's just like the way that it works.

517
00:24:53,520 --> 00:24:56,879
Speaker 5: But you know, you are trained in the retechnique, You're

518
00:24:56,880 --> 00:24:58,800
Speaker 5: gonna use the retechnique and you're gonna put the wrong

519
00:24:58,800 --> 00:25:01,719
Speaker 5: people in prison. That's the way that it is. And

520
00:25:01,840 --> 00:25:05,119
Speaker 5: it does bring me a lot of satisfaction as somebody

521
00:25:05,160 --> 00:25:07,080
Speaker 5: who I don't really write anymore, but I used to

522
00:25:07,080 --> 00:25:10,159
Speaker 5: write true crime books that were literally the narrative of

523
00:25:10,240 --> 00:25:12,240
Speaker 5: like the police did the investigation and got it right

524
00:25:12,280 --> 00:25:14,120
Speaker 5: and put the person away. But that was like two

525
00:25:14,119 --> 00:25:16,240
Speaker 5: thousand and seven, two thousand and eight. Gives me a

526
00:25:16,280 --> 00:25:21,320
Speaker 5: tremendous amount of satisfaction to disavow the kind of true

527
00:25:21,359 --> 00:25:25,000
Speaker 5: crime shit that I used to write, because it's not real.

528
00:25:25,480 --> 00:25:29,600
Speaker 5: It's just not I mean, there are earnest good investigations,

529
00:25:30,119 --> 00:25:33,240
Speaker 5: but there are also a shit ton of very very

530
00:25:33,280 --> 00:25:37,520
Speaker 5: bad investigations that are completely predicated on closure and getting

531
00:25:37,600 --> 00:25:37,920
Speaker 5: the win.

532
00:25:38,160 --> 00:25:39,600
Speaker 4: And that's what all of that is about.

533
00:25:40,400 --> 00:25:44,320
Speaker 1: And does the world of policing seem to be every

534
00:25:44,840 --> 00:25:48,560
Speaker 1: instance where the police are criticized, the police response seems

535
00:25:48,600 --> 00:25:52,800
Speaker 1: to be belligerents? Like, are there examples where police forces

536
00:25:52,840 --> 00:25:56,160
Speaker 1: are actually being like, okay, the read technique And if

537
00:25:56,160 --> 00:25:58,200
Speaker 1: you could explain what the red technique is that it

538
00:25:58,200 --> 00:26:00,000
Speaker 1: would be helpful, I think to Yeah.

539
00:26:00,560 --> 00:26:04,960
Speaker 4: The retechnique is an interrogation technique that has been scientifically

540
00:26:05,000 --> 00:26:09,200
Speaker 4: shown to elicit false confessions again and again and again.

541
00:26:09,520 --> 00:26:12,560
Speaker 4: And interestingly, the retechnique was invented by this guy named

542
00:26:12,640 --> 00:26:15,840
Speaker 4: John Reid the time that he used it, where it

543
00:26:15,880 --> 00:26:17,879
Speaker 4: was actually that the first time he used it that

544
00:26:17,920 --> 00:26:21,360
Speaker 4: it became the model for the technique he would then develop.

545
00:26:22,200 --> 00:26:25,760
Speaker 4: That case ended up being a false confession case.

546
00:26:26,560 --> 00:26:28,639
Speaker 1: It works so good, you can't.

547
00:26:28,359 --> 00:26:30,120
Speaker 5: Make this shit up. You can't make this shit up.

548
00:26:30,200 --> 00:26:33,560
Speaker 5: So that technique is actually now like a training course.

549
00:26:33,600 --> 00:26:37,080
Speaker 5: It's called like the read course, and police departments use

550
00:26:37,119 --> 00:26:39,800
Speaker 5: it all over the country and they say that they've

551
00:26:39,800 --> 00:26:42,879
Speaker 5: developed it, they've tweaked it over time. Police officers are

552
00:26:42,880 --> 00:26:44,760
Speaker 5: supposed to use it in the way that they say

553
00:26:44,800 --> 00:26:48,000
Speaker 5: and that they've they've you know, softened the techniques over time.

554
00:26:48,359 --> 00:26:51,240
Speaker 5: But basically what it is is they put the it

555
00:26:51,520 --> 00:26:55,600
Speaker 5: specifically and really is effective on vulnerable people, on young people,

556
00:26:56,000 --> 00:26:59,040
Speaker 5: on people with you know, mental illness, on people with

557
00:26:59,119 --> 00:27:02,720
Speaker 5: intellectual delay. Think about Brandon Dacy for making a murderer

558
00:27:02,760 --> 00:27:05,000
Speaker 5: for instance. Basically, what they do is they put people

559
00:27:05,040 --> 00:27:07,480
Speaker 5: in a position where they believe they are helping the police.

560
00:27:08,000 --> 00:27:11,080
Speaker 5: They lie to them, they give them bad information, they

561
00:27:11,080 --> 00:27:13,040
Speaker 5: say you're on video doing X y Z, and they

562
00:27:13,040 --> 00:27:15,359
Speaker 5: basically put you in a position where you believe if

563
00:27:15,400 --> 00:27:17,920
Speaker 5: you say something, you're going to be in a better situation.

564
00:27:18,359 --> 00:27:18,560
Speaker 3: You know.

565
00:27:18,720 --> 00:27:20,600
Speaker 5: And they also do a thing where they don't they

566
00:27:20,600 --> 00:27:25,160
Speaker 5: don't record the first twelve hours of your interrogation. They

567
00:27:25,200 --> 00:27:27,960
Speaker 5: only record the final hour where they've finally sort of

568
00:27:28,000 --> 00:27:28,640
Speaker 5: broken you.

569
00:27:29,280 --> 00:27:31,240
Speaker 4: And then they have this thing on tape and they go, look,

570
00:27:31,280 --> 00:27:32,920
Speaker 4: he confessed on tape. What are you talking about?

571
00:27:32,960 --> 00:27:33,280
Speaker 1: He did it?

572
00:27:33,240 --> 00:27:35,320
Speaker 4: Who would ever confess on tape? But they didn't do it.

573
00:27:35,440 --> 00:27:36,400
Speaker 4: That's the Rea technique.

574
00:27:36,440 --> 00:27:38,159
Speaker 2: Even though for twelve hours I said, you're never going

575
00:27:38,240 --> 00:27:40,400
Speaker 2: to be able to see wrestling again or go home

576
00:27:40,520 --> 00:27:41,560
Speaker 2: unless you say this.

577
00:27:41,840 --> 00:27:44,760
Speaker 5: Exactly or for twelve hours they say, come on, we

578
00:27:44,840 --> 00:27:47,280
Speaker 5: all you know, it's like, if you just tell us this,

579
00:27:47,359 --> 00:27:49,720
Speaker 5: you're helping us and you're going to maybe we'll even

580
00:27:49,720 --> 00:27:52,160
Speaker 5: be able to get you a deal because that we'll.

581
00:27:52,040 --> 00:27:52,880
Speaker 4: Figure something out.

582
00:27:52,960 --> 00:27:54,680
Speaker 5: You know, you'll be able to have dinner, You'll be

583
00:27:54,720 --> 00:27:56,760
Speaker 5: able to go home and sleep in your own bed tonight.

584
00:27:56,840 --> 00:27:57,040
Speaker 1: You know.

585
00:27:57,440 --> 00:27:59,879
Speaker 4: It's like that's that's what That's what it's all about.

586
00:28:00,600 --> 00:28:03,600
Speaker 1: And are are are you seeing any like it? I

587
00:28:03,600 --> 00:28:08,280
Speaker 1: think people are maybe getting more exposure to shit like this,

588
00:28:08,440 --> 00:28:12,000
Speaker 1: and like I guess on one of our sister podcasts,

589
00:28:12,000 --> 00:28:15,240
Speaker 1: Behind the Bastard's about this guy, David Grossman, the director

590
00:28:15,359 --> 00:28:19,399
Speaker 1: of the Killology Research Group that is like goes around

591
00:28:19,400 --> 00:28:22,439
Speaker 1: and gives these speeches to police about how they should

592
00:28:22,800 --> 00:28:26,960
Speaker 1: like feel comfortable killing people who make them scared. Essentially,

593
00:28:27,600 --> 00:28:33,919
Speaker 1: Like there's all these just shockingly morally bankrupt training practices

594
00:28:34,000 --> 00:28:38,200
Speaker 1: and just general practices in how police go about doing

595
00:28:38,240 --> 00:28:38,840
Speaker 1: their jobs.

596
00:28:38,960 --> 00:28:43,120
Speaker 5: Like it, Yeah, do you guys see Killing County on Netflix?

597
00:28:44,400 --> 00:28:47,560
Speaker 5: This documentary Killing County. Colin Kaepernick's film company made it.

598
00:28:47,560 --> 00:28:50,440
Speaker 5: It's about the county where he's from. And there's a

599
00:28:51,080 --> 00:28:54,320
Speaker 5: shocking piece of footage and they're not shocking, that's surprising,

600
00:28:54,360 --> 00:28:57,720
Speaker 5: but shocking. I think it's the sheriff is talking to

601
00:28:58,440 --> 00:29:01,600
Speaker 5: the department and he's been basically in a training saying

602
00:29:02,440 --> 00:29:05,360
Speaker 5: that it is better for the department to kill someone

603
00:29:05,480 --> 00:29:07,920
Speaker 5: than wound them because if you kill them, they can't

604
00:29:07,960 --> 00:29:10,520
Speaker 5: sue you, essentially what he says.

605
00:29:11,480 --> 00:29:11,960
Speaker 4: Or if it's on.

606
00:29:12,080 --> 00:29:14,440
Speaker 1: Hulu, right it's about Bakersfield.

607
00:29:14,160 --> 00:29:18,360
Speaker 5: Yes, I think, oh, you're right, Yeah, Okay, shocking. It's

608
00:29:18,400 --> 00:29:21,280
Speaker 5: like it's like and that's like if that is you

609
00:29:21,440 --> 00:29:23,400
Speaker 5: know that he's not the only cop in the world who,

610
00:29:23,680 --> 00:29:26,640
Speaker 5: right is walking around this way right.

611
00:29:27,440 --> 00:29:30,600
Speaker 2: Right to think about the payouts too, And I'm like, yoh,

612
00:29:30,800 --> 00:29:33,960
Speaker 2: pay that claim if you wound someone or.

613
00:29:33,320 --> 00:29:35,280
Speaker 5: Or just arrest them or whatever. It's like, you know,

614
00:29:35,400 --> 00:29:38,080
Speaker 5: it's just cheaper and quicker and cleaner.

615
00:29:38,560 --> 00:29:40,360
Speaker 4: So yeah, but I.

616
00:29:40,640 --> 00:29:44,960
Speaker 1: Mean we we've seen some political successes with like I mean,

617
00:29:45,120 --> 00:29:49,840
Speaker 1: locally in LA there were some local elections where people

618
00:29:49,920 --> 00:29:54,080
Speaker 1: voted against increasing the police budget. You know that Jacksonville

619
00:29:54,160 --> 00:29:58,240
Speaker 1: just had kind of a not a like anti police

620
00:29:58,520 --> 00:30:01,200
Speaker 1: or police reformists, can it? But somebody who is they

621
00:30:01,240 --> 00:30:03,760
Speaker 1: were trying to paint as like a Black Lives Matter,

622
00:30:03,800 --> 00:30:07,640
Speaker 1: anti police supporter, and people voted for her. Anyways, I'm

623
00:30:07,720 --> 00:30:10,520
Speaker 1: just like wondering, is all the true crime that people

624
00:30:10,560 --> 00:30:15,160
Speaker 1: are watching? Do you think changing anything? Or are the

625
00:30:15,200 --> 00:30:17,920
Speaker 1: police just going to like kind of hunker down and

626
00:30:18,720 --> 00:30:21,680
Speaker 1: you know, respond with belligerents like we've seen them do

627
00:30:22,080 --> 00:30:22,960
Speaker 1: time after a time.

628
00:30:23,320 --> 00:30:25,160
Speaker 5: I think it's going to take a generation, to be

629
00:30:25,200 --> 00:30:26,800
Speaker 5: completely honest with you, I think it's going to be

630
00:30:26,880 --> 00:30:32,240
Speaker 5: like like the kids of consumers, because it's like there's

631
00:30:32,280 --> 00:30:35,640
Speaker 5: a wave of like you know, and I don't want

632
00:30:35,640 --> 00:30:38,240
Speaker 5: to be gross about it, but like there's a there

633
00:30:38,280 --> 00:30:43,480
Speaker 5: are millions of like middle class Midwestern women who now

634
00:30:43,480 --> 00:30:46,080
Speaker 5: know what Brady violations are, who never who never thought

635
00:30:46,120 --> 00:30:48,400
Speaker 5: about it before because they listened to like cereal and

636
00:30:48,480 --> 00:30:51,280
Speaker 5: undisclosed and like it dark and shit right, So so

637
00:30:51,440 --> 00:30:54,560
Speaker 5: like their kids might be like hearing a little bit

638
00:30:54,560 --> 00:30:56,360
Speaker 5: of their outrage, and like some of their kids are

639
00:30:56,360 --> 00:30:59,040
Speaker 5: going to grow up and become lawyers or whatever. So

640
00:30:59,080 --> 00:31:01,400
Speaker 5: I think it's going to be gen generational. I'll tell

641
00:31:01,400 --> 00:31:06,200
Speaker 5: you the elected officials thing is tough. These election cycles

642
00:31:06,200 --> 00:31:09,640
Speaker 5: are short. The thing that has made a huge difference

643
00:31:09,760 --> 00:31:13,520
Speaker 5: in cities and communities and states is conviction integrity units.

644
00:31:14,200 --> 00:31:16,640
Speaker 5: Like Philadelphia has a conviction in tygrena with this guy

645
00:31:16,680 --> 00:31:19,840
Speaker 5: Larry Krasner. What happens when there's a conviction integrity unit

646
00:31:20,280 --> 00:31:23,640
Speaker 5: and shit starts getting overturned, people start getting out of prison,

647
00:31:24,440 --> 00:31:27,400
Speaker 5: then there's a lot of political pressure to start looking

648
00:31:27,680 --> 00:31:30,480
Speaker 5: at the system that put people there because it's embarrassing

649
00:31:30,760 --> 00:31:33,960
Speaker 5: and the cities have to start writing big checks. So

650
00:31:34,240 --> 00:31:37,400
Speaker 5: getting conviction integrity units set up, not only does it

651
00:31:37,400 --> 00:31:39,800
Speaker 5: actually get people out of prison, which is the result

652
00:31:39,880 --> 00:31:44,239
Speaker 5: you want, but also it creates like a bubble of

653
00:31:44,320 --> 00:31:48,760
Speaker 5: pressure that you can't ignore because it's just there. So

654
00:31:48,840 --> 00:31:50,880
Speaker 5: I think that's one of the most effective changes that

655
00:31:50,920 --> 00:31:55,280
Speaker 5: I've seen happen politically, more so than electing somebody. Also,

656
00:31:55,400 --> 00:31:57,360
Speaker 5: like in La you had that sheriff who pretended he

657
00:31:57,400 --> 00:31:59,560
Speaker 5: was a reformist and then ended up being like a bad.

658
00:31:59,400 --> 00:32:00,120
Speaker 4: Guy right in.

659
00:32:01,000 --> 00:32:04,000
Speaker 5: Yeah, so you know, just election cycles are quick. People

660
00:32:04,040 --> 00:32:05,360
Speaker 5: say what they're going to say and then they can't

661
00:32:05,360 --> 00:32:08,160
Speaker 5: actually do anything when they're elected. But yeah, I think conviction,

662
00:32:08,200 --> 00:32:10,320
Speaker 5: integrity and is I think that's where it's at, right.

663
00:32:10,680 --> 00:32:12,120
Speaker 1: I also wonder if we're going to see it, like

664
00:32:12,160 --> 00:32:14,880
Speaker 1: I see it bleed over into like how crime and

665
00:32:14,920 --> 00:32:18,000
Speaker 1: punishment are portrayed in TV and film in general, like

666
00:32:18,120 --> 00:32:22,200
Speaker 1: just this kind of new, newer realization. Like I think

667
00:32:22,240 --> 00:32:26,440
Speaker 1: when when I was a kid, the like standard thing

668
00:32:26,480 --> 00:32:28,720
Speaker 1: that writers had to contend with is like a constant

669
00:32:28,800 --> 00:32:31,480
Speaker 1: question of like why wouldn't they just call the cops

670
00:32:31,520 --> 00:32:34,800
Speaker 1: like that, you know, like that that would solve everything.

671
00:32:35,160 --> 00:32:39,520
Speaker 1: And now obviously like that isn't is no longer the case,

672
00:32:39,640 --> 00:32:43,480
Speaker 1: I'd imagine, But I just I wonder if we'll see

673
00:32:43,560 --> 00:32:46,200
Speaker 1: less and less movies that are where it's just like, yeah,

674
00:32:46,240 --> 00:32:50,200
Speaker 1: so it's a it's a cop, and so we can

675
00:32:50,240 --> 00:32:53,320
Speaker 1: assume they're kind of cool and trying to solve crimes.

676
00:32:54,000 --> 00:32:56,400
Speaker 5: Yeah No, I don't think so. I mean, if you're

677
00:32:56,400 --> 00:32:58,360
Speaker 5: watching the New Law and Order, there's like a lot

678
00:32:58,400 --> 00:33:00,200
Speaker 5: of they're handling it very poorly, by the way, the

679
00:33:00,200 --> 00:33:03,120
Speaker 5: new Law and Order, they're very much like the very beginning.

680
00:33:03,120 --> 00:33:04,840
Speaker 5: When I first came back, it was like, man, we

681
00:33:04,920 --> 00:33:07,840
Speaker 5: just you know, things are changing, man. And then in

682
00:33:08,000 --> 00:33:10,000
Speaker 5: episode two it was like, we got to stand up

683
00:33:10,040 --> 00:33:10,680
Speaker 5: for our brothers.

684
00:33:10,680 --> 00:33:11,560
Speaker 1: They're under attack.

685
00:33:11,760 --> 00:33:16,200
Speaker 5: Yeah, like wild, Yeah, they went from fucking red haired

686
00:33:16,240 --> 00:33:21,360
Speaker 5: freak with the protest. I mean they constantly talk about

687
00:33:21,400 --> 00:33:23,240
Speaker 5: it on the show, but then they just behave exactly

688
00:33:23,240 --> 00:33:25,840
Speaker 5: as abominably as it was on the show.

689
00:33:25,880 --> 00:33:26,520
Speaker 4: It's pretty wild.

690
00:33:26,800 --> 00:33:28,400
Speaker 2: Yeah, it seems like a lot of places are like

691
00:33:28,680 --> 00:33:30,960
Speaker 2: they All they did was just kind of go into hibernation,

692
00:33:31,200 --> 00:33:32,800
Speaker 2: like in the fall of twenty twenty, when a lot

693
00:33:32,800 --> 00:33:36,280
Speaker 2: of people like, you know what, like live PD might

694
00:33:36,320 --> 00:33:38,720
Speaker 2: be a mistake of a show, folks or sorry. And

695
00:33:38,720 --> 00:33:40,960
Speaker 2: then it's like right back before we started. It's like,

696
00:33:41,080 --> 00:33:43,240
Speaker 2: just wait a fucking a couple of seconds, right, We'll

697
00:33:43,240 --> 00:33:45,040
Speaker 2: come back, Brooklyn nine nine will be back.

698
00:33:45,640 --> 00:33:49,320
Speaker 1: Yeah, yeah, all right, Well, let's talk about Elon real quick.

699
00:33:49,600 --> 00:33:52,600
Speaker 1: Oh my god, did a CNBC interview at the end

700
00:33:52,640 --> 00:33:57,000
Speaker 1: of last week, and you know what we've seen from

701
00:33:57,120 --> 00:34:00,880
Speaker 1: his Twitter persona appears to have transferred over to his

702
00:34:01,360 --> 00:34:06,200
Speaker 1: actual human body persona because yeah, yeah, he's just full,

703
00:34:06,360 --> 00:34:07,560
Speaker 1: full blown.

704
00:34:07,280 --> 00:34:10,759
Speaker 2: He's just a human four chan shit post basically, and

705
00:34:10,880 --> 00:34:14,080
Speaker 2: he really let his freak flag fly in that interview.

706
00:34:14,120 --> 00:34:18,360
Speaker 2: And by freak flag, I mean swastika's because man, a

707
00:34:18,400 --> 00:34:20,719
Speaker 2: lot of the interview made ways like around this is

708
00:34:20,800 --> 00:34:25,640
Speaker 2: like incessant need to defend the like verified Nazi shooter

709
00:34:26,360 --> 00:34:28,960
Speaker 2: from Alan, Texas. You know, the guy with like the

710
00:34:29,280 --> 00:34:32,520
Speaker 2: all the Nazi tattoos and the talk of loving Nazis

711
00:34:32,520 --> 00:34:35,160
Speaker 2: and how he'd rather be a Nazi than act black.

712
00:34:35,200 --> 00:34:37,920
Speaker 2: When he posted that meme, like he let everybody know

713
00:34:38,120 --> 00:34:40,799
Speaker 2: very clearly, you know where he stood on things, what

714
00:34:40,840 --> 00:34:44,359
Speaker 2: his perspective was. Anyway, Elon, he goes off about how

715
00:34:44,400 --> 00:34:47,560
Speaker 2: despite all of the evidence and even the shooter's own words,

716
00:34:47,880 --> 00:34:50,480
Speaker 2: it's not right to call this like a white supremacist act.

717
00:34:50,560 --> 00:34:51,719
Speaker 1: So let me let me just play this.

718
00:34:51,760 --> 00:34:54,160
Speaker 2: He's he's gonna start off by talking about why he's

719
00:34:54,239 --> 00:34:58,200
Speaker 2: like dubious and you can just watch his like brain

720
00:34:58,320 --> 00:34:59,080
Speaker 2: start melting.

721
00:35:00,640 --> 00:35:05,239
Speaker 3: And the evidence for that was some obscure Russian website

722
00:35:05,280 --> 00:35:07,840
Speaker 3: that no one's ever heard of that had no followers,

723
00:35:09,120 --> 00:35:14,800
Speaker 3: and the company that found this is Belling Cat, And

724
00:35:14,840 --> 00:35:17,759
Speaker 3: do you know what bella Cat does. Ops.

725
00:35:18,560 --> 00:35:21,080
Speaker 6: I couldn't really even follow exactly what it was you

726
00:35:21,080 --> 00:35:23,520
Speaker 6: were trying to express there, So that's part why I

727
00:35:23,560 --> 00:35:23,960
Speaker 6: was curious.

728
00:35:24,080 --> 00:35:26,239
Speaker 3: But I'm saying that I thought that the ascribing a

729
00:35:26,280 --> 00:35:29,920
Speaker 3: two whites premacy was bullshit. Okay, and and uh and

730
00:35:29,920 --> 00:35:33,680
Speaker 3: and and and that the information for that came from

731
00:35:33,719 --> 00:35:37,920
Speaker 3: an obscure Russian website and was somehow magically found by Bellancat,

732
00:35:38,200 --> 00:35:39,920
Speaker 3: which is a company that does.

733
00:35:40,600 --> 00:35:44,400
Speaker 2: Okay, so enough about that.

734
00:35:44,800 --> 00:35:48,520
Speaker 4: Who is the reporter going right? Was he just a

735
00:35:48,560 --> 00:35:50,759
Speaker 4: reflexively bad thing to say?

736
00:35:50,920 --> 00:35:53,400
Speaker 2: Yeah, I even though he did kind of follow up,

737
00:35:53,400 --> 00:35:55,160
Speaker 2: he's like, look, I only say that because I don't

738
00:35:55,160 --> 00:35:55,959
Speaker 2: know what you're saying.

739
00:35:56,200 --> 00:35:58,400
Speaker 1: He did, like, I don't know what you're trying to

740
00:35:58,440 --> 00:36:00,840
Speaker 1: see right now, but yeah, change your reflex.

741
00:36:00,880 --> 00:36:04,759
Speaker 4: Do the barbar like huh, right to change the reflex, dude,

742
00:36:04,840 --> 00:36:05,360
Speaker 4: change it.

743
00:36:05,360 --> 00:36:11,320
Speaker 2: It's better to just be like a Honestly, it'll force

744
00:36:11,400 --> 00:36:15,880
Speaker 2: the person to really have to explain ah or say nothing, right,

745
00:36:16,480 --> 00:36:20,120
Speaker 2: not that. But yeah, again, so he's saying belling Cat,

746
00:36:20,160 --> 00:36:23,719
Speaker 2: which does you know real investigative journalism, they're saying they

747
00:36:23,760 --> 00:36:25,640
Speaker 2: do psyops.

748
00:36:24,880 --> 00:36:26,000
Speaker 1: And it's bullshit.

749
00:36:26,520 --> 00:36:28,600
Speaker 2: It's bullshit that they're trying to say that this is

750
00:36:28,600 --> 00:36:29,520
Speaker 2: a white supremacist.

751
00:36:29,719 --> 00:36:32,560
Speaker 5: What is his horse in this race? Aside from being

752
00:36:32,560 --> 00:36:34,520
Speaker 5: a white supremacist himself, What is it? What is his

753
00:36:34,560 --> 00:36:36,040
Speaker 5: horse in this particular?

754
00:36:36,239 --> 00:36:38,839
Speaker 2: I think probably did not give too much momentum to

755
00:36:38,960 --> 00:36:42,840
Speaker 2: the not even narrative to the reality of increasing like

756
00:36:43,360 --> 00:36:47,600
Speaker 2: extremist violence and the like that these people exist and

757
00:36:47,680 --> 00:36:51,280
Speaker 2: they are they're acting out their ideologies in real physical

758
00:36:51,360 --> 00:36:53,759
Speaker 2: space violently, because I think I don't know if he's

759
00:36:53,800 --> 00:36:55,840
Speaker 2: trying to thread this needle he's like saying, like, I

760
00:36:55,840 --> 00:36:58,360
Speaker 2: don't know if he's like it was a white supremacist

761
00:36:58,400 --> 00:37:01,279
Speaker 2: reason why he shot those people. It might just be

762
00:37:01,360 --> 00:37:04,080
Speaker 2: that he was like a white supremacist and shop It's

763
00:37:04,080 --> 00:37:06,759
Speaker 2: like really not clear. But he's definitely trying to like

764
00:37:07,120 --> 00:37:10,719
Speaker 2: cape for like white supremacy in this very bizarre way

765
00:37:10,719 --> 00:37:13,520
Speaker 2: that's not even really clear to even the interviewer, who was.

766
00:37:13,520 --> 00:37:17,360
Speaker 4: Like, okay, right, you know your interviewer is like right.

767
00:37:17,680 --> 00:37:20,960
Speaker 2: Right, right, right, right right, because you know Hitler was

768
00:37:21,000 --> 00:37:24,280
Speaker 2: correct about what he said, right right, right right and everything.

769
00:37:24,680 --> 00:37:26,440
Speaker 5: Oh my god, that's gonna be the clip you're going

770
00:37:26,480 --> 00:37:29,799
Speaker 5: to share on social media.

771
00:37:30,000 --> 00:37:35,040
Speaker 2: No, absolutely not so again it's a very frustrating interview

772
00:37:35,120 --> 00:37:37,360
Speaker 2: because he is truly just like lost in the sauce

773
00:37:37,440 --> 00:37:40,240
Speaker 2: his face when he was like trying to even explain

774
00:37:40,360 --> 00:37:43,120
Speaker 2: like the logic path of like this Russian account and

775
00:37:43,239 --> 00:37:45,880
Speaker 2: belling cats, It's like he was trying to like do

776
00:37:46,080 --> 00:37:49,760
Speaker 2: like a thread on at thread unrolled, like please dude,

777
00:37:50,120 --> 00:37:52,480
Speaker 2: please unroll this Twitter thread in my brain so I

778
00:37:52,480 --> 00:37:55,680
Speaker 2: can go find like the precise clapback reply that I

779
00:37:55,719 --> 00:37:57,720
Speaker 2: need in here. And it's a shame that this didn't

780
00:37:57,719 --> 00:37:59,799
Speaker 2: get like a ton of coverage. I mean, you got

781
00:37:59,880 --> 00:38:02,400
Speaker 2: some coverage, but like talking about the man that owns

782
00:38:02,400 --> 00:38:04,920
Speaker 2: fucking Twitter is out here showing you how vile his

783
00:38:05,040 --> 00:38:08,680
Speaker 2: fucking beliefs are, like in real and like in such

784
00:38:08,719 --> 00:38:10,920
Speaker 2: a even a way, like I don't know why I'm mad.

785
00:38:10,960 --> 00:38:13,839
Speaker 2: I'm like, it's he's not even doing it elegantly. It's

786
00:38:13,920 --> 00:38:16,759
Speaker 2: just like it's just like the raw stupidity of it.

787
00:38:16,760 --> 00:38:20,000
Speaker 2: It just like makes it even more and more frustrating

788
00:38:20,000 --> 00:38:23,720
Speaker 2: to see. And again it haves to be like right rightops.

789
00:38:24,040 --> 00:38:27,799
Speaker 1: Yeah, the I mean, how did they not have support

790
00:38:28,040 --> 00:38:31,319
Speaker 1: for the claim that like they knew he was going

791
00:38:31,360 --> 00:38:34,759
Speaker 1: to try to debunk rather than just being you know, yeah, yeah,

792
00:38:34,800 --> 00:38:37,480
Speaker 1: I mean like, I don't even know what you're saying.

793
00:38:38,040 --> 00:38:40,640
Speaker 5: Well, now, SA just unroll this a little bit because

794
00:38:40,520 --> 00:38:43,080
Speaker 5: I just don't understand. So was was he even being

795
00:38:43,120 --> 00:38:46,080
Speaker 5: asked about this? Because this spread on Twitter?

796
00:38:46,200 --> 00:38:46,279
Speaker 1: Like?

797
00:38:46,360 --> 00:38:49,080
Speaker 4: Why is this even something he's talking about?

798
00:38:49,440 --> 00:38:52,440
Speaker 2: He's been like he because he himself has been retweeting

799
00:38:52,440 --> 00:38:53,640
Speaker 2: other accounts that are.

800
00:38:53,520 --> 00:38:56,080
Speaker 4: Catching God God.

801
00:38:56,239 --> 00:38:59,319
Speaker 5: So he's now like he's now like pot committed to

802
00:38:59,440 --> 00:39:01,880
Speaker 5: this like situation where he has to defend He like

803
00:39:01,920 --> 00:39:02,319
Speaker 5: why are.

804
00:39:02,239 --> 00:39:04,200
Speaker 2: You Yeah, he's like, why are you using your platform

805
00:39:04,239 --> 00:39:06,040
Speaker 2: to like I think, why are these even people? And

806
00:39:06,040 --> 00:39:07,799
Speaker 2: then he's like, well, he's like, well, where did their

807
00:39:07,800 --> 00:39:09,600
Speaker 2: evidence come from that they were white supremacists?

808
00:39:09,600 --> 00:39:12,879
Speaker 1: The guy has a say off company swastika tattoos on

809
00:39:12,920 --> 00:39:14,879
Speaker 1: his arm. Yeah, literally, I don't know.

810
00:39:14,960 --> 00:39:17,160
Speaker 2: They he may have had his tattoo, artists may have

811
00:39:17,200 --> 00:39:19,319
Speaker 2: had Glackhomas was trying to make a plus sign.

812
00:39:19,400 --> 00:39:22,120
Speaker 1: I don't know. We just don't help.

813
00:39:22,320 --> 00:39:26,200
Speaker 2: But like the fact that that the bolts the bolts

814
00:39:26,200 --> 00:39:28,600
Speaker 2: his other tattoo or SS bolts, Yes.

815
00:39:28,719 --> 00:39:30,600
Speaker 4: No, those are Celtic runes.

816
00:39:30,360 --> 00:39:33,280
Speaker 2: You know, yeah, exactly. No, he's a he's a Journeyman

817
00:39:33,360 --> 00:39:38,200
Speaker 2: Electrician and the ib E w's a high voltage logo,

818
00:39:38,960 --> 00:39:43,160
Speaker 2: Like what the fuck up again? And I think the

819
00:39:43,200 --> 00:39:45,520
Speaker 2: reason why this guy was caught off on CNBC is

820
00:39:45,560 --> 00:39:48,359
Speaker 2: because they were on Stonks TV, you know what I mean.

821
00:39:48,440 --> 00:39:49,640
Speaker 1: They weren't on MSNBC.

822
00:39:49,680 --> 00:39:51,879
Speaker 2: He wasn't talking like Ben Collins or something like someone

823
00:39:51,920 --> 00:39:54,680
Speaker 2: who's like knows, like it's very well versed in all this,

824
00:39:55,160 --> 00:39:55,360
Speaker 2: you know.

825
00:39:55,480 --> 00:39:58,400
Speaker 5: But Ben Collins is a great example of why I

826
00:39:58,440 --> 00:40:02,040
Speaker 5: think it is overrated to leave twittered indignation. Like he's

827
00:40:02,080 --> 00:40:04,880
Speaker 5: a great example of why.

828
00:40:05,120 --> 00:40:08,000
Speaker 4: No, he's there and if he left, like, no one

829
00:40:08,000 --> 00:40:10,160
Speaker 4: would ever see a ship, right.

830
00:40:10,160 --> 00:40:14,280
Speaker 2: He's always there, just dunk on people and exactly always

831
00:40:14,280 --> 00:40:17,800
Speaker 2: like like help people who are not like terminally online

832
00:40:17,800 --> 00:40:20,680
Speaker 2: like some of us understand like what is actually being

833
00:40:20,719 --> 00:40:21,400
Speaker 2: spoken about?

834
00:40:21,600 --> 00:40:23,840
Speaker 1: So anyway, again, this interview.

835
00:40:23,520 --> 00:40:27,239
Speaker 2: Was basically on cn CNBC, so they're like Then he

836
00:40:27,320 --> 00:40:30,080
Speaker 2: eventually gets to the money part, which is another really

837
00:40:30,120 --> 00:40:32,360
Speaker 2: interesting moment in this interview. He said, the big question

838
00:40:32,560 --> 00:40:35,640
Speaker 2: is like for people who love Stonks like Tesla and stuff,

839
00:40:35,840 --> 00:40:38,600
Speaker 2: He's like, what the fuck's going on with like Tesla

840
00:40:38,680 --> 00:40:41,520
Speaker 2: shares and like the way you're running Twitter because the

841
00:40:41,560 --> 00:40:43,799
Speaker 2: businesses are interconnected, whether you like it or not. And

842
00:40:43,800 --> 00:40:46,120
Speaker 2: He's like, and if you keep turning Twitter into like

843
00:40:46,160 --> 00:40:50,040
Speaker 2: an ad repelling website equivalent of like Christall knocked, Like

844
00:40:50,280 --> 00:40:52,200
Speaker 2: what are you going to how are you going to

845
00:40:52,280 --> 00:40:54,759
Speaker 2: keep people's money moving? Like what do you say to

846
00:40:54,800 --> 00:40:57,480
Speaker 2: these people who are actually worried about the ship that

847
00:40:57,520 --> 00:41:00,560
Speaker 2: you post and its effect on the financials of everything?

848
00:41:00,880 --> 00:41:03,239
Speaker 1: This answer is fucking even.

849
00:41:03,360 --> 00:41:06,160
Speaker 2: I'm just gonna play the whole thing because it's this

850
00:41:06,239 --> 00:41:08,680
Speaker 2: is a very like this man's brain.

851
00:41:09,400 --> 00:41:12,600
Speaker 4: I I don't even know I'm salad servant.

852
00:41:12,920 --> 00:41:15,120
Speaker 6: Yeah, god no, I don't want to at all, but

853
00:41:15,160 --> 00:41:17,080
Speaker 6: I'm what I'm trying even came up though in the

854
00:41:17,080 --> 00:41:20,560
Speaker 6: annual meeting. I mean, you know, do your tweets hurt

855
00:41:20,640 --> 00:41:22,640
Speaker 6: the company? Are there Tesla owners just saying I don't

856
00:41:22,680 --> 00:41:25,560
Speaker 6: agree with his political position because and I know it

857
00:41:25,600 --> 00:41:28,239
Speaker 6: because he shares so much of it, or their advertisers

858
00:41:28,320 --> 00:41:30,440
Speaker 6: on Twitter that Linda Yakarna will come and say you

859
00:41:30,520 --> 00:41:33,319
Speaker 6: gotta stop, man, or you know, I can't get these

860
00:41:33,360 --> 00:41:35,320
Speaker 6: ads because of some of the things you tweet.

861
00:41:37,960 --> 00:41:43,200
Speaker 1: Pause paws buzz. He's just looking off into the middle distance, booting.

862
00:41:46,520 --> 00:41:47,239
Speaker 1: Does you find the right.

863
00:41:47,280 --> 00:41:50,200
Speaker 2: Mean, you know, I'm reminded of uh uh.

864
00:41:52,680 --> 00:42:01,200
Speaker 3: Bone Valley seeing the Princess Bride, great movie where he

865
00:42:01,280 --> 00:42:09,279
Speaker 3: confronts the person who killed his father. Okay, he says,

866
00:42:10,840 --> 00:42:13,040
Speaker 3: offer me money.

867
00:42:14,880 --> 00:42:15,839
Speaker 4: Literally, it's not what he says.

868
00:42:15,880 --> 00:42:23,760
Speaker 1: I don't care. See, you just don't care. Offer me money.

869
00:42:24,000 --> 00:42:25,920
Speaker 6: You want to share what you have to say.

870
00:42:25,960 --> 00:42:28,080
Speaker 3: I'll say what I want to say, and if if

871
00:42:29,040 --> 00:42:30,880
Speaker 3: if the consequence of that is losing money.

872
00:42:30,640 --> 00:42:31,040
Speaker 1: So be it.

873
00:42:32,880 --> 00:42:35,000
Speaker 5: Has he ever seen that fucking movie? That's literally not

874
00:42:35,080 --> 00:42:38,759
Speaker 5: he says, my name is in Eniggo Montor. I mean

875
00:42:38,880 --> 00:42:40,480
Speaker 5: like literally everybody knows that.

876
00:42:41,120 --> 00:42:45,879
Speaker 2: Offer me money off. It's like, I don't understand. He's

877
00:42:45,960 --> 00:42:50,160
Speaker 2: basically replying in like gift form. Gift form, Yeah, you

878
00:42:50,200 --> 00:42:51,960
Speaker 2: know what I mean. It's like, what do you say

879
00:42:52,000 --> 00:42:56,520
Speaker 2: about that princess Brian dot gif? It took him a

880
00:42:56,560 --> 00:43:00,719
Speaker 2: while to find it. He was my god, the he

881
00:43:00,800 --> 00:43:04,200
Speaker 2: racked his brain for the dumbest response. I mean, truly

882
00:43:04,880 --> 00:43:06,080
Speaker 2: does he have like an.

883
00:43:06,200 --> 00:43:10,360
Speaker 1: Early kind of trial version of neuralink going like looked

884
00:43:10,440 --> 00:43:13,240
Speaker 1: up to Twitter and like that's just how badly it works,

885
00:43:13,280 --> 00:43:13,520
Speaker 1: And he.

886
00:43:13,680 --> 00:43:17,319
Speaker 2: Was just going through seen seconds to respond. That was

887
00:43:17,320 --> 00:43:21,040
Speaker 2: a thirteen second fucking pause he took to say, I'm

888
00:43:21,040 --> 00:43:23,400
Speaker 2: reminded of a scene from Princess Bride.

889
00:43:23,520 --> 00:43:26,680
Speaker 1: What offer me money? Offer me power? I mean that

890
00:43:26,760 --> 00:43:31,080
Speaker 1: couldn't have been the answer that thes were looking for.

891
00:43:31,560 --> 00:43:34,040
Speaker 5: How fucking Austin would have been because I'm reminded of

892
00:43:34,040 --> 00:43:46,920
Speaker 5: a scene from Princess Bride where in rodents of unusual side.

893
00:43:44,280 --> 00:43:47,560
Speaker 2: I mean, it's I think it's also just too these people,

894
00:43:47,640 --> 00:43:50,960
Speaker 2: especially billionaires, right, they're never in environments where people press

895
00:43:51,080 --> 00:43:54,000
Speaker 2: them or ask follow up questions, so when they are,

896
00:43:54,239 --> 00:43:57,719
Speaker 2: it's like a disorienting experience for them. The beginning of

897
00:43:57,760 --> 00:43:59,480
Speaker 2: the first clip where I talked to, where he's talking

898
00:43:59,520 --> 00:44:02,799
Speaker 2: about billing running, bailing, cat running, syops, when he's like

899
00:44:03,000 --> 00:44:05,560
Speaker 2: when the the journalists asking very basic questions of his

900
00:44:05,680 --> 00:44:10,120
Speaker 2: like like twitter retweets, he's also like, almost, I'll just

901
00:44:10,120 --> 00:44:12,080
Speaker 2: play this other section because it truly shows like he

902
00:44:12,200 --> 00:44:14,520
Speaker 2: is not used to being held to account for fucking anything.

903
00:44:14,640 --> 00:44:15,520
Speaker 4: I can't get enough of this.

904
00:44:15,640 --> 00:44:21,799
Speaker 1: Keep going there, and Alan Texas, you say something like

905
00:44:21,840 --> 00:44:22,439
Speaker 1: it might be.

906
00:44:22,360 --> 00:44:25,239
Speaker 6: A bad psyop. I'm not quite sure what she meant.

907
00:44:24,960 --> 00:44:27,840
Speaker 1: But.

908
00:44:28,320 --> 00:44:37,520
Speaker 3: Oh, in that particular case, uh, there was a somehow

909
00:44:37,800 --> 00:44:42,799
Speaker 3: that that's not not not that the that people were killed,

910
00:44:42,880 --> 00:44:46,400
Speaker 3: but the it was I think incorrectly.

911
00:44:46,880 --> 00:44:48,600
Speaker 1: Like super killed.

912
00:44:49,000 --> 00:44:52,960
Speaker 2: He he his his body language like you know, I'm

913
00:44:53,000 --> 00:44:56,000
Speaker 2: not I'm no body language expert, although I do testify

914
00:44:56,000 --> 00:44:57,520
Speaker 2: at trials as an expert.

915
00:44:58,840 --> 00:45:01,240
Speaker 4: Very scientifically proved and to be like legit.

916
00:45:01,920 --> 00:45:05,160
Speaker 2: But it's just interesting how he he like goes he's

917
00:45:05,160 --> 00:45:07,439
Speaker 2: starting like this, and then he just really does get

918
00:45:07,480 --> 00:45:09,000
Speaker 2: small and he's like, oh, right, this.

919
00:45:08,960 --> 00:45:14,320
Speaker 1: Thing I did a side, Well it's what I didn't.

920
00:45:14,600 --> 00:45:16,640
Speaker 1: He like tilts his head to the side like a

921
00:45:16,680 --> 00:45:21,239
Speaker 1: dog that like you just spoke a full sentence to

922
00:45:21,360 --> 00:45:23,920
Speaker 1: and the dog doesn't like understand what you're saying. And

923
00:45:23,960 --> 00:45:28,480
Speaker 1: then another pause, another pause, and then oh.

924
00:45:28,440 --> 00:45:31,760
Speaker 5: That So when you were first talking about this psych

925
00:45:31,800 --> 00:45:33,000
Speaker 5: was coming on the show, I didn't know what we

926
00:45:33,000 --> 00:45:34,120
Speaker 5: were gonna be talking about, and I just.

927
00:45:34,160 --> 00:45:39,320
Speaker 4: Quickly googled Elon musk C NBC. All of the.

928
00:45:38,480 --> 00:45:41,920
Speaker 5: Top headlines I see are Elon must tells the NBC

929
00:45:42,080 --> 00:45:44,239
Speaker 5: he's now up to six hours of sleep a night.

930
00:45:44,840 --> 00:45:47,520
Speaker 5: That was the takeaway from this contract.

931
00:45:47,760 --> 00:45:53,960
Speaker 1: What because the mains true media worships and the foreheads

932
00:45:54,600 --> 00:45:58,080
Speaker 1: just want them to be Tony Stark real real Tony Stark.

933
00:45:58,160 --> 00:46:01,719
Speaker 1: That's what they are there too, you know, play a

934
00:46:01,840 --> 00:46:05,320
Speaker 1: role and a role that the mainstream media isn't interested

935
00:46:05,320 --> 00:46:10,760
Speaker 1: in is like massive billionaire thought leader who is also

936
00:46:10,800 --> 00:46:14,440
Speaker 1: a Nazi. Like they erased that part of Henry Ford's

937
00:46:14,480 --> 00:46:16,480
Speaker 1: story for many years, right, you know.

938
00:46:16,560 --> 00:46:18,719
Speaker 2: And also like that's not a good ad for his

939
00:46:18,760 --> 00:46:22,080
Speaker 2: mental elasticity for someone who supposedly is such a brilliant

940
00:46:22,120 --> 00:46:25,160
Speaker 2: I'm like, this guy took thirteen seconds to say this

941
00:46:25,200 --> 00:46:26,760
Speaker 2: reminds me of the Princess Bride.

942
00:46:27,440 --> 00:46:28,279
Speaker 1: I don't know, and.

943
00:46:28,320 --> 00:46:31,160
Speaker 4: Then and then didn't get the right line that everybody knows.

944
00:46:31,440 --> 00:46:33,920
Speaker 1: Offer me the thing I don't care.

945
00:46:37,840 --> 00:46:40,000
Speaker 4: I want in Nego Montoya.

946
00:46:40,280 --> 00:46:46,320
Speaker 2: Yeah, I think there was this character a Negro Toyota and.

947
00:46:46,200 --> 00:46:50,919
Speaker 1: What he said? What anyway, So Emerald boy is back

948
00:46:50,960 --> 00:46:51,279
Speaker 1: at it.

949
00:46:51,560 --> 00:46:54,160
Speaker 2: But yeah, shout out to everybody who was focused on

950
00:46:54,200 --> 00:46:55,439
Speaker 2: the six hours of sleep park.

951
00:46:56,120 --> 00:47:01,439
Speaker 1: Oh my god, he needs more apparently, because he's there's

952
00:47:01,480 --> 00:47:06,000
Speaker 1: a lot of a lot of years spinning without any

953
00:47:06,080 --> 00:47:09,240
Speaker 1: anything coming out. All right, let's take a quick break

954
00:47:09,400 --> 00:47:24,120
Speaker 1: and we'll be right back. And we're back. And it

955
00:47:24,239 --> 00:47:27,800
Speaker 1: was recently announced that the percentage of American workers testing

956
00:47:27,840 --> 00:47:33,440
Speaker 1: positive for marijuana is at the highest level ever recorded. Yeah,

957
00:47:33,600 --> 00:47:36,319
Speaker 1: which let them know. But like, so are all those

958
00:47:36,320 --> 00:47:40,319
Speaker 1: people being fired for that? Like that's what like this

959
00:47:40,520 --> 00:47:43,760
Speaker 1: The story implied that it was just like informational drug testing,

960
00:47:44,000 --> 00:47:47,760
Speaker 1: but right, why the fuck are people still drug testing

961
00:47:47,800 --> 00:47:50,600
Speaker 1: their employees? Yeah, it's kind of my question.

962
00:47:51,080 --> 00:47:52,640
Speaker 2: Well, yeah, isn't.

963
00:47:52,400 --> 00:47:55,640
Speaker 5: It like insurance or it's like some sort of like

964
00:47:55,680 --> 00:47:59,280
Speaker 5: situation where like some where places have like an umbrella

965
00:47:59,320 --> 00:48:02,520
Speaker 5: policy or have them working heavy equipment or something.

966
00:48:02,560 --> 00:48:03,040
Speaker 4: I don't know.

967
00:48:03,560 --> 00:48:07,440
Speaker 5: My work My workplace has like a thing in our

968
00:48:07,480 --> 00:48:11,239
Speaker 5: handbook that evokes like potential. You're not supposed to be,

969
00:48:11,880 --> 00:48:15,000
Speaker 5: you know, imbibing on the job. It's not a question

970
00:48:15,120 --> 00:48:21,319
Speaker 5: anybody has ever asked anybody ever workplace, So I don't know.

971
00:48:22,200 --> 00:48:26,600
Speaker 1: Yeah, I mean it's in other countries there are like

972
00:48:26,640 --> 00:48:31,000
Speaker 1: I could understand. It's like we you can't be intoxicated

973
00:48:31,040 --> 00:48:35,160
Speaker 1: while operating heavy machinery, obviously, Like that's and that is

974
00:48:35,239 --> 00:48:38,160
Speaker 1: how drug testing is used in other countries that use it.

975
00:48:38,640 --> 00:48:41,520
Speaker 1: But the way that the US uses it where it's

976
00:48:41,560 --> 00:48:44,200
Speaker 1: just like we just want to check out your lifestyle

977
00:48:44,320 --> 00:48:46,960
Speaker 1: and what you're doing when you're not on work hours

978
00:48:47,480 --> 00:48:51,400
Speaker 1: is really like it's not a long term thing and

979
00:48:51,440 --> 00:48:53,960
Speaker 1: it's not practiced in other countries, so like that's the

980
00:48:54,200 --> 00:48:56,799
Speaker 1: that's the thing I always assumed. Yeah, there was like

981
00:48:56,840 --> 00:49:02,640
Speaker 1: some international corporation re for like with insurance or something

982
00:49:02,719 --> 00:49:04,840
Speaker 1: like that, but the US is the only place that

983
00:49:04,920 --> 00:49:07,600
Speaker 1: really has this. It was invented by the Reagans as

984
00:49:07,640 --> 00:49:10,960
Speaker 1: part of like their war on drugs. Shit, like it's

985
00:49:11,000 --> 00:49:15,840
Speaker 1: a it's a recent innovation that is not helpful, is

986
00:49:15,880 --> 00:49:17,760
Speaker 1: not effective, and.

987
00:49:17,960 --> 00:49:20,680
Speaker 2: Yeah, it's one of the latest tools of white supremacy.

988
00:49:21,000 --> 00:49:24,040
Speaker 2: Yeahs finally you know, being done away with because yeah,

989
00:49:24,040 --> 00:49:26,440
Speaker 2: like it's always like, oh, you smoke weed in this

990
00:49:26,480 --> 00:49:28,120
Speaker 2: part of the neighborhood and you want to work at

991
00:49:28,160 --> 00:49:31,640
Speaker 2: this grocery store, right, you know, it's like what the

992
00:49:31,680 --> 00:49:33,520
Speaker 2: fuck is this? And yeah, all it does is like

993
00:49:34,239 --> 00:49:37,680
Speaker 2: either dissuades people from wanting to apply for a job,

994
00:49:37,719 --> 00:49:39,960
Speaker 2: which I'm sure is one factor of it, or you know,

995
00:49:40,000 --> 00:49:43,040
Speaker 2: you can really kind of prolong the employing someone by

996
00:49:43,080 --> 00:49:45,280
Speaker 2: being like, oh, I don't know about your drug tests

997
00:49:45,280 --> 00:49:45,920
Speaker 2: and shit like that.

998
00:49:46,440 --> 00:49:49,520
Speaker 1: I mean that it is on the decline, drug testing

999
00:49:49,840 --> 00:49:53,560
Speaker 1: and it's definitely like way less popular than it was

1000
00:49:53,680 --> 00:49:59,120
Speaker 1: fairly recently, but it's still happening in thousands of workplaces.

1001
00:49:59,280 --> 00:50:01,719
Speaker 1: And the reason and it's on the decline has nothing

1002
00:50:01,719 --> 00:50:04,520
Speaker 1: to do with the fact that it's invasive and unnecessary

1003
00:50:04,600 --> 00:50:09,320
Speaker 1: and you know, arguably unconstitutional, but because of the labor

1004
00:50:09,360 --> 00:50:12,920
Speaker 1: shortage caused by the pandemic. And so yeah, it plays

1005
00:50:13,000 --> 00:50:16,520
Speaker 1: like Amazon dropped drug testing in twenty twenty one and

1006
00:50:16,600 --> 00:50:21,080
Speaker 1: like acknowledged that it is inherently racist, but we're like,

1007
00:50:21,239 --> 00:50:23,840
Speaker 1: and we're dropping it, but not because of the racism.

1008
00:50:23,840 --> 00:50:27,239
Speaker 1: We're dropping it because of changing state laws. Wait, oh,

1009
00:50:27,880 --> 00:50:29,040
Speaker 1: you know it's racist though.

1010
00:50:29,640 --> 00:50:31,840
Speaker 5: Yea, yeah, yeah, yeah, And then we always did and

1011
00:50:31,880 --> 00:50:34,080
Speaker 5: we always because by the way, you know, the War

1012
00:50:34,120 --> 00:50:34,799
Speaker 5: on drugs.

1013
00:50:34,600 --> 00:50:36,040
Speaker 4: Was not Reagan's, it was Nixon's.

1014
00:50:37,000 --> 00:50:39,680
Speaker 5: And John Erlickman gave the interview, you're saying that, like

1015
00:50:39,880 --> 00:50:42,280
Speaker 5: we did it to disrupt black communities, Like that's.

1016
00:50:42,160 --> 00:50:42,719
Speaker 4: Why we did it.

1017
00:50:42,719 --> 00:50:45,120
Speaker 5: We knew with drugs, we knew that pot wasn't bad.

1018
00:50:45,160 --> 00:50:47,959
Speaker 5: We were lying, that's why we did it. And Carter

1019
00:50:48,040 --> 00:50:49,719
Speaker 5: tried to pull it back, and then the Reagans went

1020
00:50:49,840 --> 00:50:52,520
Speaker 5: like double down with it, Like that's what. So it's

1021
00:50:52,520 --> 00:50:55,160
Speaker 5: always like you know, pull back, push, pull back, push.

1022
00:50:55,520 --> 00:50:58,680
Speaker 5: What's happened now with drugs, which is interesting. It's not

1023
00:50:58,760 --> 00:51:02,239
Speaker 5: just the legalization of pot. It's the opioids crisis, which

1024
00:51:02,280 --> 00:51:05,880
Speaker 5: is now like inspired this like wave of empathy for

1025
00:51:06,160 --> 00:51:08,839
Speaker 5: substance use disorder, which it now has a new name

1026
00:51:09,239 --> 00:51:11,719
Speaker 5: and now is meant to now it's a health crisis

1027
00:51:12,160 --> 00:51:16,760
Speaker 5: because the perceived victims are white people, right even though

1028
00:51:16,920 --> 00:51:21,600
Speaker 5: like like the fastest growing demographic of deaths right now

1029
00:51:21,719 --> 00:51:24,000
Speaker 5: is like black people, but it's perceived to be a

1030
00:51:24,000 --> 00:51:26,200
Speaker 5: white problem, which is why it like inspired all of

1031
00:51:26,239 --> 00:51:30,600
Speaker 5: these like actual legislative things and like money and.

1032
00:51:30,560 --> 00:51:31,560
Speaker 4: Resources and stuff.

1033
00:51:31,680 --> 00:51:33,920
Speaker 5: So it is really interesting to see like how it

1034
00:51:34,000 --> 00:51:35,920
Speaker 5: snaps back and forth and back and forth and back

1035
00:51:35,960 --> 00:51:38,239
Speaker 5: and forth. I would not be surprised with all this

1036
00:51:38,320 --> 00:51:42,080
Speaker 5: marijuana legalization and stuff, like I think it's great, But

1037
00:51:42,120 --> 00:51:45,120
Speaker 5: I wouldn't be surprised if in like four, eight, twelve

1038
00:51:45,200 --> 00:51:47,879
Speaker 5: years there was another huge snapback. I just wouldn't because

1039
00:51:47,880 --> 00:51:50,840
Speaker 5: that's just how I mean, like what's happening now with abortion,

1040
00:51:50,960 --> 00:51:52,520
Speaker 5: Like what's happened. I mean, it's just it's just in

1041
00:51:52,840 --> 00:51:55,160
Speaker 5: gay rights, Like it's just it seems to be like

1042
00:51:55,200 --> 00:51:57,120
Speaker 5: we're on these ebbs and flows, and every time you

1043
00:51:57,160 --> 00:52:00,239
Speaker 5: get an EBB. It's worse than the previous EBB when

1044
00:52:00,239 --> 00:52:02,360
Speaker 5: it comes to being progressive or regressive.

1045
00:52:02,800 --> 00:52:07,680
Speaker 1: Right, yeah, yeah, there's so when Reagan announced it, he

1046
00:52:07,840 --> 00:52:11,440
Speaker 1: instituted it with like the one point one million federal

1047
00:52:11,480 --> 00:52:14,280
Speaker 1: employees that he had control over, and then he did

1048
00:52:14,719 --> 00:52:18,359
Speaker 1: a publicity stunt. He was like so horny for drug

1049
00:52:18,440 --> 00:52:20,719
Speaker 1: testing workers. He was like, fuck it, I'll do a

1050
00:52:20,800 --> 00:52:26,319
Speaker 1: drug TESTO. And but like the reality of the drug

1051
00:52:26,400 --> 00:52:30,080
Speaker 1: test was that if anybody in his administration, or if

1052
00:52:30,120 --> 00:52:33,239
Speaker 1: he or Nancy had tested positive, it would have been

1053
00:52:33,239 --> 00:52:36,880
Speaker 1: totally kept totally secret and confidential, and instead of being fired,

1054
00:52:36,920 --> 00:52:43,160
Speaker 1: they'd simply be offered counseling, so with discretion. Yeah. Interesting,

1055
00:52:43,760 --> 00:52:47,520
Speaker 1: but yeah, by nineteen ninety five, more than three quarters

1056
00:52:47,560 --> 00:52:52,480
Speaker 1: of employers had adopted workplace drug testing. That's crazy, right,

1057
00:52:52,600 --> 00:52:55,880
Speaker 1: typically only done in Europe for safety concerns, and in Canada,

1058
00:52:55,960 --> 00:52:59,719
Speaker 1: workplace drug testing is considered a human rights violation, which

1059
00:53:00,120 --> 00:53:03,720
Speaker 1: makes sense because, like, for instance, a DC police department

1060
00:53:03,760 --> 00:53:06,840
Speaker 1: admitted it used urine samples collected for drug tests to

1061
00:53:06,880 --> 00:53:10,720
Speaker 1: screen female employees for pregnancy without their knowledge or consent.

1062
00:53:11,960 --> 00:53:13,959
Speaker 4: So sorry, I'm not going again.

1063
00:53:14,560 --> 00:53:17,920
Speaker 5: Not shocked, not surprised, just like bold over from the

1064
00:53:17,920 --> 00:53:20,440
Speaker 5: moment a little bit. Yeah, and then what did they

1065
00:53:20,440 --> 00:53:21,960
Speaker 5: do if they found out? Did they just not tell

1066
00:53:22,000 --> 00:53:23,719
Speaker 5: them and just not hire them? That was that was

1067
00:53:23,719 --> 00:53:24,040
Speaker 5: the thing.

1068
00:53:24,200 --> 00:53:24,800
Speaker 1: I think that's.

1069
00:53:24,840 --> 00:53:28,239
Speaker 2: Imagine or could you imagine? Then they like they're like, also, girl,

1070
00:53:28,280 --> 00:53:33,400
Speaker 2: you're pregnant. Sorry, we cannot offer you employment with this

1071
00:53:33,480 --> 00:53:38,120
Speaker 2: police department. Congratulations, are preggers my eggers?

1072
00:53:38,320 --> 00:53:43,920
Speaker 1: Okay, so figure it out. Congratulations girl, you're not getting

1073
00:53:43,920 --> 00:53:46,839
Speaker 1: the job, but congratulations on what you know what I mean?

1074
00:53:47,120 --> 00:53:50,320
Speaker 1: You know what I mean? Wink wink wink. Yeah. Anyways,

1075
00:53:50,360 --> 00:53:53,480
Speaker 1: because of human error, because of the ability to like

1076
00:53:53,719 --> 00:53:57,960
Speaker 1: buy things that can help hide. Like there's all all

1077
00:53:58,040 --> 00:54:03,239
Speaker 1: these products Golden Flask, you're a novelty kit. It says

1078
00:54:03,280 --> 00:54:05,839
Speaker 1: it's a fetish novel. You're a novelty kit, but of

1079
00:54:05,840 --> 00:54:08,520
Speaker 1: course it's actually just for people to buy. And if

1080
00:54:08,560 --> 00:54:15,920
Speaker 1: you're fetish's employment, you're into working for corporation that doesn't

1081
00:54:15,960 --> 00:54:18,600
Speaker 1: respect your human rights. I think that's so hot. Help

1082
00:54:18,680 --> 00:54:23,080
Speaker 1: you toil for me? Yeah, there's the Wizonator but yeah,

1083
00:54:23,120 --> 00:54:26,160
Speaker 1: so there's just all these products to Yeah, it makes sense.

1084
00:54:26,239 --> 00:54:26,880
Speaker 1: Who does it?

1085
00:54:26,880 --> 00:54:29,720
Speaker 2: It's it's non I remember like even in I remember

1086
00:54:29,800 --> 00:54:31,600
Speaker 2: high school, right, we graduated high school, one of my

1087
00:54:31,640 --> 00:54:33,960
Speaker 2: best friends applied for a job at Costco and he

1088
00:54:34,120 --> 00:54:37,680
Speaker 2: fucking almost fainted at the job interview because they made

1089
00:54:37,760 --> 00:54:41,319
Speaker 2: him pissed test wow and like, but the thing was

1090
00:54:41,480 --> 00:54:44,240
Speaker 2: he knew he failed, Like he was like, right every

1091
00:54:44,360 --> 00:54:46,640
Speaker 2: day he's like, but he's like I went in confident.

1092
00:54:46,719 --> 00:54:48,239
Speaker 2: I was like, yeah, okay, give it to me, and

1093
00:54:48,280 --> 00:54:52,439
Speaker 2: he's like, but they hired me anyway, And I was like, oh, interesting, it's.

1094
00:54:52,360 --> 00:54:54,640
Speaker 5: Probably a polygraph where it was like if they flinched

1095
00:54:54,640 --> 00:54:57,080
Speaker 5: about taking it, they wouldn't hire.

1096
00:54:57,320 --> 00:55:01,719
Speaker 2: I actually need to, oh, get my mom from the

1097
00:55:01,760 --> 00:55:02,480
Speaker 2: airport right now?

1098
00:55:05,800 --> 00:55:10,440
Speaker 1: Okay, can you run away in a bottle of golden

1099
00:55:10,520 --> 00:55:12,000
Speaker 1: flat falls out of your.

1100
00:55:13,239 --> 00:55:15,239
Speaker 4: Do you have a condition where I can't? You're a

1101
00:55:15,280 --> 00:55:16,520
Speaker 4: note unless I'm at home?

1102
00:55:17,040 --> 00:55:20,040
Speaker 2: Yeah, home field advantage. You know it happens.

1103
00:55:20,120 --> 00:55:20,879
Speaker 1: We've all been there.

1104
00:55:21,000 --> 00:55:23,640
Speaker 2: But yeah, do away with the fucking drug tests please,

1105
00:55:23,680 --> 00:55:24,680
Speaker 2: Like it's yes.

1106
00:55:24,800 --> 00:55:27,759
Speaker 1: Yeah, come on, Well, Rebecca, such a pleasure having you

1107
00:55:27,800 --> 00:55:31,560
Speaker 1: on the daily Geist. Where can people find you? Follow you?

1108
00:55:31,760 --> 00:55:34,839
Speaker 5: Oh my god, this was ridiculously fun. Well, you can

1109
00:55:34,840 --> 00:55:36,719
Speaker 5: listen to crime writers on and anything else I do

1110
00:55:36,840 --> 00:55:39,160
Speaker 5: but you can follow me on social media, including Twitter,

1111
00:55:39,200 --> 00:55:41,760
Speaker 5: because I have not left in a huff at reb Levoi.

1112
00:55:41,960 --> 00:55:43,279
Speaker 4: That's where I am everywhere.

1113
00:55:43,680 --> 00:55:47,320
Speaker 1: Yeah, and is there a work of media you've been enjoyed?

1114
00:55:47,960 --> 00:55:49,960
Speaker 5: Yeah, well, I'm sure you guys have talked about Jury

1115
00:55:50,040 --> 00:55:54,399
Speaker 5: Duty on the show with someone else, right, so Retrey background. Well,

1116
00:55:54,480 --> 00:55:58,320
Speaker 5: by the way, this weekend was the return of Selling

1117
00:55:58,400 --> 00:56:01,880
Speaker 5: Sunset on Netflix. Haven't watched, Yeah, but it's back actually

1118
00:56:01,880 --> 00:56:06,239
Speaker 5: coming out as we're taping this show. Yeah, but there's

1119
00:56:06,239 --> 00:56:08,640
Speaker 5: something coming out of Netflix that this week that people

1120
00:56:08,640 --> 00:56:11,080
Speaker 5: should check out that I've seen a preview of. It's

1121
00:56:11,080 --> 00:56:13,680
Speaker 5: called Victim Suspect on Netflix. And we're just since we're

1122
00:56:13,719 --> 00:56:16,000
Speaker 5: talking about criminal justice stuff, and if you want to

1123
00:56:16,000 --> 00:56:18,920
Speaker 5: get real pissed off, it's about It's great. It's there's

1124
00:56:18,960 --> 00:56:21,280
Speaker 5: a reporter Ray de Leone who works at the Center

1125
00:56:21,280 --> 00:56:25,160
Speaker 5: for Investigative Reporting, and she did this long investigation about

1126
00:56:25,200 --> 00:56:29,319
Speaker 5: women who get arrested after they report being raped and

1127
00:56:29,360 --> 00:56:32,120
Speaker 5: the cops accuse them of falsely reporting being raped and

1128
00:56:32,120 --> 00:56:33,240
Speaker 5: then they get arrested.

1129
00:56:33,680 --> 00:56:34,800
Speaker 4: It's super good.

1130
00:56:34,960 --> 00:56:37,000
Speaker 5: It's it'll make you really angry, but it's it's really

1131
00:56:37,080 --> 00:56:38,920
Speaker 5: really good and I recommend it. Was as it's sun

1132
00:56:38,960 --> 00:56:40,960
Speaker 5: Dance and now it's coming out of Netflix. It's really good.

1133
00:56:41,239 --> 00:56:43,759
Speaker 5: But also watch Selling Sunset.

1134
00:56:43,480 --> 00:56:45,400
Speaker 2: Because I mean, what's kind of what's going on with Rishelle?

1135
00:56:45,440 --> 00:56:47,120
Speaker 4: You know high art, I mean Krishelle.

1136
00:56:47,600 --> 00:56:49,200
Speaker 1: I mean, I see what's happening here in real life?

1137
00:56:49,560 --> 00:56:52,560
Speaker 4: I know, I miss Maya. I miss Maya a lot.

1138
00:56:52,880 --> 00:56:55,240
Speaker 1: Oh yeah, Maya was number one.

1139
00:56:55,080 --> 00:56:56,799
Speaker 4: In my Power rankings, number one.

1140
00:56:57,239 --> 00:57:01,560
Speaker 1: But you know yeah, also a true crime podcast. If

1141
00:57:01,600 --> 00:57:06,560
Speaker 1: you look at the deals that they're getting away with, yep,

1142
00:57:06,600 --> 00:57:09,319
Speaker 1: I mean some of these places are a steal. All right.

1143
00:57:09,680 --> 00:57:11,760
Speaker 5: We'll have to see what happens with the Christine Less

1144
00:57:12,320 --> 00:57:13,080
Speaker 5: Selling Sunset.

1145
00:57:13,120 --> 00:57:15,440
Speaker 4: We'll see if it's so good. I think it'll be

1146
00:57:15,440 --> 00:57:16,360
Speaker 4: fine exactly.

1147
00:57:16,840 --> 00:57:19,040
Speaker 1: Miles, Where can people find you? What is the work

1148
00:57:19,120 --> 00:57:20,240
Speaker 1: media you've been enjoying?

1149
00:57:20,680 --> 00:57:24,200
Speaker 2: Oh, you can find me on Twitter, Instagram, other app

1150
00:57:24,280 --> 00:57:27,240
Speaker 2: based websites At Miles of Gray. You can find Jack

1151
00:57:27,280 --> 00:57:30,160
Speaker 2: and on our basketball podcast, Miles and Jack John Matt

1152
00:57:30,160 --> 00:57:32,760
Speaker 2: Bosty's where we talk about you know, the NBA the

1153
00:57:32,760 --> 00:57:36,640
Speaker 2: postseason right now, my Lakers were I don't know what

1154
00:57:36,680 --> 00:57:39,480
Speaker 2: happened in Game three, so it could really be or

1155
00:57:39,520 --> 00:57:42,200
Speaker 2: it could be, but hey, we'll have to find out

1156
00:57:42,560 --> 00:57:45,560
Speaker 2: next episode. And you can also find me talking about

1157
00:57:45,640 --> 00:57:48,560
Speaker 2: ninety day Fiance, my favorite reality trash fire show on

1158
00:57:48,600 --> 00:57:49,920
Speaker 2: my other podcast.

1159
00:57:49,600 --> 00:57:52,440
Speaker 1: For twenty day Fiance. So you know what time it is.

1160
00:57:53,320 --> 00:57:55,880
Speaker 1: Let's see, do I like a tweet? Nope, I don't.

1161
00:57:55,880 --> 00:57:56,280
Speaker 1: I haven't.

1162
00:57:56,400 --> 00:58:00,200
Speaker 2: I haven't actually gone on Twitter, although I do see

1163
00:58:00,000 --> 00:58:02,200
Speaker 2: see Casey just hand is just trending, so I can

1164
00:58:02,200 --> 00:58:04,600
Speaker 2: only Oh, there's a Politico deep dive on her, can't

1165
00:58:04,640 --> 00:58:06,200
Speaker 2: we Yeah?

1166
00:58:06,400 --> 00:58:07,280
Speaker 1: Oh wait here, let me.

1167
00:58:07,280 --> 00:58:10,320
Speaker 5: Let me see the sanctimonious you mean, come on, you

1168
00:58:10,360 --> 00:58:13,320
Speaker 5: don't have to have the name right exactly.

1169
00:58:13,600 --> 00:58:17,080
Speaker 2: Oh, here's what Okay, Now, apparently there's like this whole

1170
00:58:17,320 --> 00:58:20,240
Speaker 2: Politico deep dives is talking about how she's the one

1171
00:58:20,240 --> 00:58:22,040
Speaker 2: controlling everything.

1172
00:58:22,480 --> 00:58:24,800
Speaker 4: Okay, even the pudding.

1173
00:58:25,440 --> 00:58:30,680
Speaker 1: Yeah, come on, your big slot pig go putting was

1174
00:58:30,720 --> 00:58:33,640
Speaker 1: a sigh op to get us to identify with them.

1175
00:58:33,760 --> 00:58:37,000
Speaker 1: They're like everybody eats pudding with their fingers right right

1176
00:58:37,640 --> 00:58:40,040
Speaker 1: like and then he blew it by being like, that's

1177
00:58:40,080 --> 00:58:43,080
Speaker 1: not true, sugar man. Come on, I don't need that.

1178
00:58:43,120 --> 00:58:46,600
Speaker 1: I don't need pudding, all right? Uh tweet, I've been

1179
00:58:46,880 --> 00:58:52,560
Speaker 1: enjoying Adam serious at row tweeting, tweeted me, I'm having

1180
00:58:52,600 --> 00:58:55,440
Speaker 1: hearing issues. Doctor, can you describe the symptoms?

1181
00:58:55,840 --> 00:58:55,920
Speaker 3: Me?

1182
00:58:56,240 --> 00:59:01,560
Speaker 1: It's a TV show about a family from Springfield. I'm

1183
00:59:01,560 --> 00:59:08,000
Speaker 1: really good. And then Zach Dunn tweeted a picture of

1184
00:59:08,640 --> 00:59:12,400
Speaker 1: a I guess it's the HBO Max ad maybe and

1185
00:59:12,440 --> 00:59:15,800
Speaker 1: it says join your favorite plumbers on an epic quest.

1186
00:59:15,920 --> 00:59:19,240
Speaker 1: Renter owned the Super Mario Brothers movie at Home with Exfinity,

1187
00:59:19,320 --> 00:59:21,800
Speaker 1: so it's an Exfinity at And he said, Hey, Bud,

1188
00:59:22,160 --> 00:59:25,240
Speaker 1: I'm only gonna say this once, so listen close. You

1189
00:59:25,360 --> 00:59:33,240
Speaker 1: have no fucking idea who my favorite plumbers are. Assume

1190
00:59:33,480 --> 00:59:37,040
Speaker 1: you know anything. You don't know me, all right. You

1191
00:59:37,040 --> 00:59:39,400
Speaker 1: can find me on Twitter at Jack Underscore Obrian. You

1192
00:59:39,440 --> 00:59:41,800
Speaker 1: can find us on Twitter at Daily Zeitgeist. We're at

1193
00:59:41,840 --> 00:59:44,840
Speaker 1: the Daily Zeitgeist on Instagram. We have a Facebook fanpage

1194
00:59:44,840 --> 00:59:47,920
Speaker 1: and a website, Daily zeitgeist dot com, where we post

1195
00:59:47,920 --> 00:59:51,040
Speaker 1: our episodes and our footnote where we link off to

1196
00:59:51,080 --> 00:59:53,800
Speaker 1: the information that we talked about in today's episode, as

1197
00:59:53,840 --> 00:59:57,360
Speaker 1: well as a song that we think you might enjoy. Miles,

1198
00:59:57,360 --> 00:59:59,920
Speaker 1: what's the song that you think people might enjoy?

1199
01:00:00,160 --> 01:00:03,120
Speaker 2: Here's a song you might enjoy. Uh, this is an

1200
01:00:03,240 --> 01:00:06,880
Speaker 2: artist from Belfax named Caliber and the track is called

1201
01:00:06,920 --> 01:00:09,360
Speaker 2: Feeling Normal and it kind of reminds me of like

1202
01:00:09,720 --> 01:00:14,160
Speaker 2: Tom Yorky dance music like idio Tech by Radiohead. Like

1203
01:00:14,200 --> 01:00:15,920
Speaker 2: if you like that, you're I think you'll probably like

1204
01:00:16,000 --> 01:00:18,160
Speaker 2: this because it's got, like, you know, kind of interesting

1205
01:00:18,200 --> 01:00:22,680
Speaker 2: industrially deep with a haunting, spooky falsetto over it. So

1206
01:00:22,760 --> 01:00:25,800
Speaker 2: check out Feeling Normal by Caliber. Oh and also if

1207
01:00:25,800 --> 01:00:28,560
Speaker 2: you really like idio Tech, I just heard a college

1208
01:00:28,600 --> 01:00:33,880
Speaker 2: acapella version of it by the Virginia still Whoetts from

1209
01:00:33,920 --> 01:00:37,680
Speaker 2: the University of Virginia, an all female identifying acappella group.

1210
01:00:38,320 --> 01:00:38,920
Speaker 1: That's another one.

1211
01:00:38,960 --> 01:00:41,120
Speaker 2: If you want to hear the spooky version idio Tech,

1212
01:00:41,240 --> 01:00:42,560
Speaker 2: try that one off your size.

1213
01:00:42,760 --> 01:00:46,640
Speaker 1: Spooky radio Head covers really like, it's just a matter

1214
01:00:46,720 --> 01:00:50,520
Speaker 1: of time until you hear that cover, and it'll be

1215
01:00:50,600 --> 01:00:54,080
Speaker 1: it'll be in the trailer for Super Mario Brothers too,

1216
01:00:54,400 --> 01:00:55,120
Speaker 1: right right, like.

1217
01:01:00,600 --> 01:01:03,400
Speaker 4: The Social Network version about you and Musk.

1218
01:01:03,160 --> 01:01:07,160
Speaker 2: Will have that Yeah, God, yeah, truly idiotech all right.

1219
01:01:07,160 --> 01:01:07,280
Speaker 3: Well.

1220
01:01:07,320 --> 01:01:09,400
Speaker 1: The Daily's Eye Guys is a production of iHeart Radio.

1221
01:01:09,440 --> 01:01:12,680
Speaker 1: For more podcasts from iHeartRadio, visits the iHeartRadio abb Apple

1222
01:01:12,680 --> 01:01:14,640
Speaker 1: podcast or wherever you listen to your favorite shows. That's

1223
01:01:14,640 --> 01:01:17,360
Speaker 1: gonna do it for us this morning, back this afternoon

1224
01:01:17,400 --> 01:01:19,440
Speaker 1: to tell you what is trending, and we'll talk to

1225
01:01:19,800 --> 01:01:24,000
Speaker 1: y'all then. Bye bye bye