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Speaker 1: Oh hey, it's how funny you are. Yeah, how funny

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Speaker 1: your jokes are.

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Speaker 2: Well, when when Blake Wexler's on, you know it can

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Speaker 2: it can be distracted, did you know, Blake? They usually

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Speaker 2: our producers don't have to turn off their cameras during

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Speaker 2: the recording, but only wing you're on or like you,

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Speaker 2: you'd better turn it off. It gets distracting.

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Speaker 3: We hate seeing people puke in their hands. I'm blushing.

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Speaker 1: You guys got me?

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Speaker 4: Can you guys please turn off your cameras. Are trying

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Speaker 4: to record a show in your hands? The ultimate sign

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Speaker 4: of laughter.

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Speaker 3: Puking in your hands, yeah, laughing, so.

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Speaker 4: But the SNL style when it's up their sleeve.

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Speaker 2: Yeah?

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Speaker 3: Wait, God, you know me puking just how we do? Yeah,

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Speaker 3: puke from my profile.

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Speaker 4: Puke. Yeah.

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Speaker 3: I'll be in New York next week, Blake, if you're

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Speaker 3: really yeah, maybe we can hang out real catch up.

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Speaker 1: I'd love to see you.

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Speaker 4: Oh you don't, you're lying.

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Speaker 1: God, I would love to see going.

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Speaker 4: To New Jersey.

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Speaker 1: I'm telling you that I'm not going to New cross

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Speaker 1: the river, thank you. I mean not if that guy wins,

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Speaker 1: I won't cross that. I'll cross it if Cuomo wins

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Speaker 1: I'm there. If President Slee wa wins, I will go.

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Speaker 2: You're going to be crossing it like Washington with a

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Speaker 2: with a boat full of militia members, right, that's right, yeah,

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Speaker 2: standing like at the tip of it, like very visible.

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Speaker 2: I feel like he wasn't he wasn't really on the low.

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Speaker 2: He was like you know, he was very prominent, really

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Speaker 2: leaving himself open to getting shot.

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Speaker 1: It's weird too, because, like the Revolutionary War, they didn't

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Speaker 1: have a lot of resources, the Americans, but they did

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Speaker 1: have a portrait Voat that would go parallel to Washington,

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Speaker 1: so they could paint him going over the river like

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Speaker 1: the news, guys, the news, did you get that?

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Speaker 4: Yeah? Washington? It was no noise, like did you get that?

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Speaker 5: Here?

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Speaker 4: Let me see, let me see? All right, all right,

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Speaker 4: back to one.

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Speaker 2: We're gonna ask you to take their picture, and that

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Speaker 2: immediately runs up and looks at the picture.

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Speaker 4: All right, we're going back to the other side of

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Speaker 4: the Delaware. Come on, he didn't get it. He didn't

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Speaker 4: get it.

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Speaker 2: Hello the Internet, and welcome the season four to thirteen,

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Speaker 2: Episode three of Dzai.

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Speaker 4: Guys. This is a production of iHeartRadio.

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Speaker 2: It's podcast where we take a deep dive into America

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Speaker 2: share consciousness. It is one of those days when we

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Speaker 2: don't you know more than us in terms of what

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Speaker 2: happened in the elections last night. We're we're recording this

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Speaker 2: before the polls close. It is Wednesday, November fifth, twenty

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Speaker 2: twenty five when this episode is releasing Tuesday, November fourth,

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Speaker 2: twenty five as we're recording it. But let's celebrate. We

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Speaker 2: we gotta do the full transparent you got to we

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Speaker 2: we got we gotta do it because on these days

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Speaker 2: we're just sound like fucking idiots.

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Speaker 4: Without not knowing what happened with top fifty or the

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Speaker 4: governor's races or the mayor race or other male races. Well,

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Speaker 4: we do know this. It is National Stress Awareness Day.

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Speaker 2: Tell you one goddamn thing, Stress Awareness Day, tell yeah.

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Speaker 4: And it's also National donut Day.

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Speaker 2: All right, doughnut, All right, let's all be aware of

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Speaker 2: our stress.

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Speaker 4: Is it helpful to be aware of your stress?

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Speaker 2: I guess I mean it is good because it says

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Speaker 2: that you can be like I'm gonna go take a walk.

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Speaker 4: Oh yeah, oh yeah, Midwest.

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Speaker 2: I do think it'd be so great if, like, you know,

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Speaker 2: he was just like I just gotta perfect it. And

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Speaker 2: then he started talking and it was Minnesota.

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Speaker 4: That would have been funnier if like he played for

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Speaker 4: the Brewers and like learn English in like Milwaukee, because

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Speaker 4: that happens a lot to other sports.

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Speaker 3: I was like, you're like, why, he's got like a

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Speaker 3: Philly accent.

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Speaker 4: Yeah.

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Speaker 2: Somehow I was thinking, like, it'd be funny if he

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Speaker 2: just spoke perfect TV, like just came out and was like, okay,

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Speaker 2: and now I do this perfectly. I speak perfect TV

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Speaker 2: Midwestern newscast or English. But then when I said Midwestern,

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Speaker 2: I thought it'd be funnier if it was Minnesota. If anyways,

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Speaker 2: that was my thought process there. That's a little bit

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Speaker 2: about how my crazy brain worth. My name's Jack O'Brien

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Speaker 2: aka One Hit Wonder from the sixties, Biggest Hit, Happy

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Speaker 2: Together Daily's like, guys, host forgot us. We're not just

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Speaker 2: voice actors.

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Speaker 4: Turtles Glower.

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Speaker 2: That is courtesy of Bank six twenty five on the discord,

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Speaker 2: who said, uh, I think Chuck Lorie was referring to

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Speaker 2: the sixties band the Turtles.

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Speaker 3: I got multiple posts from people being like.

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Speaker 4: Hey, light nudge to you dummies over there, there's a

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Speaker 4: band called the Turtles. He didn't they didn't ask literal

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Speaker 4: Turtles to write the Ninja Turtles theme song. Sorry, that's

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Speaker 4: what I heard.

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Speaker 2: Okay, even dumber asking the band the Turtles, who sang

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Speaker 2: happy together like that feels like a weird I don't know.

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Speaker 4: Oh it doesn't. That's them. That's not the vibe.

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Speaker 2: It's not the vibe of the Turtles. The Turtles are

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Speaker 2: not mod They're not chilling hell dog oos.

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Speaker 4: And that wearing ninjas.

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Speaker 2: No need whatever happens to come out sounding like it

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Speaker 2: should end with like an electric guitar sting, not that

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Speaker 2: ship which I love that song, by the way, but

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Speaker 2: it's it is in no way as a song that

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Speaker 2: makes sense inside the Turtle universe, but that that makes sense.

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Speaker 2: When he said, actually they were originally asking the original Turtles,

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Speaker 2: but still I don't know. I prefer our answer that

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Speaker 2: they either asked the characters or the.

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Speaker 4: Like it's a room of turtles. They put an eight

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Speaker 4: ball of cocaine down and gave them a little piece

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Speaker 4: of camber and a pen and go. We'll be back

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Speaker 4: in a few hours and see what you come up with.

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Speaker 2: We're already talking about the story that Chuck Lori, the

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Speaker 2: guy from two and a half Men and Big Bang

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Speaker 2: Theory wrote the Ninja Turtles themes so long as if

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Speaker 2: as if everybody knows that. But yeah, that was that

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Speaker 2: was breaking news that we covered yes yesterday.

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Speaker 4: I had too. Sorry, hey complain, he's.

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Speaker 2: Breaking to us. I'm thrilled to be joined as always

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Speaker 2: by my co host, mister Miles Graand it's Miles.

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Speaker 4: Gray, Aka and son.

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Speaker 6: We've come to the Pooh episodes. Shorty please no, it's

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Speaker 6: snatchal boogos in potty Whose son.

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Speaker 4: I'm begging you. Shout out to an ar Fila for that.

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Speaker 4: Boys to Men inspireds Aka, shout out to Zeigang, who's

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Speaker 4: already been giving me tips.

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Speaker 3: Put the onesie on backwards, Coca onesie on backwards.

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Speaker 4: Then he can't, Then he can't take the diaper off

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Speaker 4: broh and get Jackson Pollock with it, you know what

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Speaker 4: I mean?

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Speaker 2: No, but then that's less coverage for when there's a blowout.

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Speaker 4: You know here we passed. He actually passed the blowouts. Honestly,

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Speaker 4: we didn't have I was I kind of ducked the

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Speaker 4: whole blowout thing. We never had one, like a true

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Speaker 4: like up the back ones I've seen, yeah, not once,

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Speaker 4: not once.

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Speaker 2: Well congratulations, this thing back. This is Karmack retribution for you.

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Speaker 4: Yeah at some point. Yeah, thank you.

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Speaker 2: Miles. By the way, Snarfila on a fucking heater. Yea

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Speaker 2: Marfila has had.

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Speaker 4: Like Ak's on Yoshinobu Yamamoto of Ak's or no, that's right.

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Speaker 2: Miles were thrilled to be joined in our second seat

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Speaker 2: by a our third seat. Let's go with our third seat.

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Speaker 2: Miles were thrilled to be joined in our third seat

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Speaker 2: by a brilliant comedian writer and actor writing, most notably

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Speaker 2: his writing of the phrase plumpers to describe his jacked thighs.

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Speaker 3: That's what we reason, we've had them on. I don't

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Speaker 3: know auto.

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Speaker 2: Correct, I'm not familiar with his other words. Autocorrect keeps

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Speaker 2: trying to change the word to plumbers every time I

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Speaker 2: write it, because autocorrect knows that the word plumpers shouldn't exist.

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Speaker 2: Please welcome the brilliant, the hilarious, the riding of recumbent

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Speaker 2: bicycle and short shirts.

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Speaker 1: It's Blake Waxlan. Hey, this is Blake Wexler AKA. All

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Speaker 1: my pant hands look like tights with these plump, thick thighs.

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Speaker 1: The sound of chafing never subsides. Plump, thick thighs, thin

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Speaker 1: legs are tragic. There's something I despise that is from

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Speaker 1: Chuck at Icius. It's either isis or Icius. I hope

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Speaker 1: it's the second one. E Y E C E C

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Speaker 1: I U S there is a U in isis whatever

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Speaker 1: I'm saying it, whatever you want. It's great to see

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Speaker 1: you guys. Oh, thank you for having me a few days.

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Speaker 1: I feel like you're here.

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Speaker 4: Last week.

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Speaker 1: Yeah, but since then I voted. I've gotten all the

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Speaker 1: vaccines that one can get. I've been a good citizen.

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Speaker 1: This past week, I got COVID vaccine flu vas shot,

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Speaker 1: I guess is what we call it in the industry,

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Speaker 1: a flu shot, and voted Yeah, by mail.

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Speaker 4: There you go.

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Speaker 2: The Trump administration's asked I am.

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Speaker 1: I always do, And how.

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Speaker 4: Do you feel.

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Speaker 2: Do you feel like you got the Sliwa side is

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Speaker 2: going to win it? Or how are you feeling at

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Speaker 2: this point?

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Speaker 1: Yeah? So I am. Unfortunately I am a New Jersey vote,

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Speaker 1: so I voted in the gubernatorial election. But I did

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Speaker 1: cross out Mikey Cheryl's name and I did write Sliwa

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Speaker 1: for that one, so you're all right. I did find

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Speaker 1: a way to still vote for our God. Yeah.

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Speaker 2: All right, well, it's wonderful to have you here, Blake.

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Speaker 2: We're going to get to know you a little bit

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Speaker 2: better in a moment.

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Speaker 4: First, we're going to tell the listeners a couple of

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Speaker 4: things we're talking about.

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Speaker 2: We're gonna check in with the cities, you know, as

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Speaker 2: as our relatives from the Yeah, if if you live

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Speaker 2: in a city, you're kind of constantly being checked in

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Speaker 2: on by relatives who watch Fox News, being like, is

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Speaker 2: it okay?

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Speaker 4: Are you okay? Did you did.

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Speaker 2: You hear that a car caught on fire somewhere in

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Speaker 2: your city? Fox News, I've round the clock coverage of

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Speaker 2: the car. Anyways, we just want to see how, like

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Speaker 2: what what's actually going on statistically in these cities, because

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Speaker 2: I'm telling you, man, it can't be good.

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Speaker 4: Okay, this will be good for you guys. Yeah, just

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Speaker 4: for for for Thanksgiving, you can drop some little stats

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Speaker 4: on your relatives that that won't care about the stats

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Speaker 4: to be yeah, they want.

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Speaker 2: Yeah, but anyways, you can feel good knowing that they're wrong.

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Speaker 2: It turns out we're gonna talk about that. So Coke

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Speaker 2: last year made a AI generated Coca Cola reinterpretation of

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Speaker 2: their past commercials, and everyone was like, these the humans

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Speaker 2: in this look like they're about to transform, Like they

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Speaker 2: look like the shot in a movie where they like

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Speaker 2: show a character who up to that point has looked

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Speaker 2: human and then there's like a little glimmer and you're like,

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Speaker 2: oh wait, that's an alien or that like they're they're

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Speaker 2: possessed by something. But that was just like what the

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Speaker 2: what the people looked like kind of otherworldly and their

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Speaker 2: faces were like kind of subtly shifting, and people were

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Speaker 2: like that that was bad. And so they've doubled down

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Speaker 2: and they've made a new one, but you'll be glad

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Speaker 2: to know they've done it with even fewer people this year.

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Speaker 2: That's their brain. Their bragging point is like not really,

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Speaker 2: we've fixed all the problems.

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Speaker 4: It's like, we've.

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Speaker 2: Fixed it a problem that last year took fifty people

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Speaker 2: in this year we only used twenty. So talk about

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Speaker 2: that and ai ads coming for us on Meta, and

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Speaker 2: then we're going to talk about the big new arrival

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Speaker 2: on American.

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Speaker 4: Streets cyber truck cop cars.

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Speaker 2: Whoa triple C hell yeah crowd, Yeah, yeah, that's right.

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Speaker 2: So we'll talk about that. Our writer Jam did a

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Speaker 2: great deep dive on this new trend the video where

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Speaker 2: they premiered it at the Irvine Police Department, and it

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Speaker 2: it looks, honestly, it looks like they're announcing the invention

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Speaker 2: of cars because they just like they just show a

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Speaker 2: video of it driving like thirty miles per hour in

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Speaker 2: a straight line. They're like, whoa yet all of that

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Speaker 2: plenty more. But first, Blake, we do like to ask

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Speaker 2: our guest, what is something from your search history that's

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Speaker 2: revealing about who you are?

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Speaker 1: Plenty more? As I mentioned, I do not wait in

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Speaker 1: lines anymore, and it is ballot box Jersey City where

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Speaker 1: I live, because I believe election day it's either you

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Speaker 1: shouldn't mail it in through the mail or it's just

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Speaker 1: best just put it in a specific ballot box because

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Speaker 1: that way you know it will be counted that day.

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Speaker 1: So yeah, look that up, went to the ballot box,

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Speaker 1: dropped it off.

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Speaker 4: And even if you mail it, you know, I mean,

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Speaker 4: it's not like it doesn't get counted if it's mailed.

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Speaker 1: I think it was. I don't know what it is

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Speaker 1: where I remember in one of the states that I've

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Speaker 1: lived in. If you're mailing it day of or maybe

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Speaker 1: this was a few elections ago, that you need to

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Speaker 1: put it in a ballot box was one of the states.

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Speaker 1: I don't know if it was like, but that's only

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Speaker 1: if you're doing it last second.

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Speaker 2: Sure have been known to shift the rules around the Yeah,

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Speaker 2: you never know last second, so yeah.

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Speaker 3: Yeah, you won't be a right exactly exactly what's something

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Speaker 3: you think is underrated?

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Speaker 1: Underrated? I have written down Paul Garaventa. So everyone talks

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Speaker 1: about the Christy you know, yamaguchies of the world, the snarkulos.

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Speaker 1: Paul Garaventa not talked about enough, so I believe theoms

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Speaker 1: in that echelon.

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Speaker 2: First of all, I'm not laughing at the this is.

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Speaker 1: Great.

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Speaker 2: This is for for more casual listeners. We're talking about

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Speaker 2: the folks, the artists in era aka yeah not so

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Speaker 2: read discord where the songs, the wonderful songs that we

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Speaker 2: sing at the top of the show are written. And

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Speaker 2: you know there there are some heavy hitters in there.

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Speaker 4: Yeah, what led you to? What led you to evoke

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Speaker 4: Paul Garaventa's good name?

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Speaker 1: Well, I also am realizing that everybody has a pseudonym

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Speaker 1: that we just named, except Paul, who's used this full

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Speaker 1: name yeah.

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Speaker 4: Sure, there's a lot of people, yeah who've got full

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Speaker 4: names on there, but you know, like maybe not.

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Speaker 3: No, No, Christie Amagucci Mane is not his full name,

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Speaker 3: David Less.

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Speaker 4: Is that like a I took my life's name? Yeah?

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Speaker 3: Yes, yes, please.

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Speaker 4: Anyway, shout out also, loyal, loyal boostie listener.

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Speaker 1: Paul and I have created like a a parasocial relationship

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Speaker 1: where he would play I used to have a podcast

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Speaker 1: called Blake's Takes for God's Sakes that ended, uh, not

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Speaker 1: soon enough, but I would have a uh intro song

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Speaker 1: where of my name being chanted over and over again

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Speaker 1: and he would play it for his kid, and his

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Speaker 1: kid as a baby, would bounce along to the song

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Speaker 1: wow and which was a very sweet thing to sound.

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Speaker 1: Posting a video of Paul's children on me No, I'm

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Speaker 1: totally kidding, but no, he's a great dude and shout out,

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Speaker 1: shout out. I wanted to see how you guys would this.

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Speaker 2: Is the first underrated that's just been a private citizen

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Speaker 2: in their full first and last name.

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Speaker 3: Hey, PG, your you'r DZ famous?

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Speaker 2: Now yeah, true, let's all give a shout out to

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Speaker 2: a private citizen who we like. Miles.

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Speaker 4: Yeah, I like it.

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Speaker 2: I'm gonna go my good friend John Edwards, uh, not

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Speaker 2: not the politician, just a TV writer who's a good

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Speaker 2: friend of mine, and I'll say, have a lot of

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Speaker 2: fun conversations with them. Shout out to John Edwards.

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Speaker 4: I would say, Judy Clawson, Judy Clawson yep, big big

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Speaker 4: Judy Clawson. Noe. Not not much else to say, but

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Speaker 4: big j C. Shout out to you.

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Speaker 3: She was actually my first music teacher in elementary.

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Speaker 4: Oh wow, miss Clawson. Great. I credit me sticking through

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Speaker 4: music because of Judy class. Shout out Judy speaking of

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Speaker 4: music real quick.

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Speaker 2: We we got notification yesterday from my second grader school

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Speaker 2: that they are doing a a tryout based variety show.

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Speaker 2: It's like a talent show but like not a winner,

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Speaker 2: but just like if you've got talent, you can try out.

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Speaker 2: And he came home and was like, Dad, I'm going

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Speaker 2: to do the drums, which would have been great if

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Speaker 2: he played the drums. And he was like, I need

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Speaker 2: to get lessons stacked, like we need to start tryout

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Speaker 2: on Friday. He's like, get me in front of a

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Speaker 2: full drum kit and was absolutely unwavering in his decision.

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Speaker 2: I was like you've got so many You're you're so great,

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Speaker 2: like you could do so many things. Like even said

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Speaker 2: like do you know a skit or something like that.

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Speaker 2: This is like what he does. He's like very funny,

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Speaker 2: he's like has he's like no, like being funny and like,

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Speaker 2: you know, doing magic and stuff.

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Speaker 4: Those are my private skills.

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Speaker 2: But drumming is really like what I've I'm born to do,

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Speaker 2: and that's I'm navigating that. We're trying to find a

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Speaker 2: drum set where we can get him a lesson and

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Speaker 2: then he's gonna learn the hard one you.

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Speaker 4: Need to get less yesterday dad.

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Speaker 2: Yeah.

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Speaker 4: Literally, does he think this is like the matrix where

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Speaker 4: he could be like, yeah, hold on, he's right out.

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Speaker 2: He's about to find that out. I think unless he's

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Speaker 2: like some phenom and he just like gets out there.

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Speaker 2: But I mean he's gonna be uh. I think it's

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Speaker 2: you know, he's gonna he's gonna learn a lesson about Yeah.

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Speaker 4: Does he want to keep playing drums? Like you think

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Speaker 4: this is the beginning? Yeah, you want to start playing?

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Speaker 7: Yeah?

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Speaker 2: Yeah, we're gonna find out at his first drum lesson

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Speaker 2: miles Yeah, yeah, yeah.

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Speaker 4: Okay, Okay, this isn't for me at all.

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Speaker 2: He played drums for three days during the summer at

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Speaker 2: School of Rock and okay, so he never again showed

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Speaker 2: no interest after that until this late, late breaking announcement.

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Speaker 2: And now he's like, I'm going to I'm gonna he like,

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Speaker 2: I just I would love to just like get and

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Speaker 2: get a video of like what's going what his image

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Speaker 2: of how it's gonna go in his mind is going

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Speaker 2: to be, because it's got to be so awesome.

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Speaker 4: It's the beginnings of his his weird malformed male confidence.

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Speaker 4: And he was like, yeah, dude, I'm gonna sucking kill

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Speaker 4: it up. There no practice cut to what the fuck?

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Speaker 4: Oh shit, I guess is.

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Speaker 1: The talent evaluators have never heard the drums before in

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Speaker 1: their entire lives.

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Speaker 2: They're also equally unfamiliar with drums like he doesn't. When

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Speaker 2: I was a kid at his age, in fact, I

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Speaker 2: wanted to be like play the electric guitar, took like

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Speaker 2: lessons was bad at it, went went to a mall

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Speaker 2: where they would make a video of you, like lip

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Speaker 2: syncing along to me and my good friend Scott Seltzer

370
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Speaker 2: and other full name shout out for a private citizens

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Speaker 2: did a video to a sweet child of mine and

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Speaker 2: looked back at the tape and did not like what

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Speaker 2: I saw. No, like this is such a fucking hell,

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Speaker 2: such a no. But like he doesn't even listen to

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Speaker 2: rock music like back then, I was like being steeped

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Speaker 2: on a lifetime is like MTV, Like he hasn't watched

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Speaker 2: a person drum let alone, you know what I mean? Yeah, yeah, yeah,

378
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Speaker 2: it's gonna be interesting.

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Speaker 1: A drum set is like, what the fuck are these?

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Speaker 1: What am I looking at right now? I said, A

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Speaker 1: drum kit?

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Speaker 4: Yea, what is something like?

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Speaker 2: Do you think's overrated?

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Speaker 1: Marsupials? I have been digging into them, and it seems

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Speaker 1: like the pouch is I would say, more of a concern.

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Speaker 3: So you're saying you're literally digging into a Marsupials pouch.

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Speaker 1: Sure, sure, sure, so yeah, Okay, there's the there's a

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Speaker 1: stop in frisk in Australia where it only applies to

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Speaker 1: the pockets on the front of these beasts. But no,

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Speaker 1: I think that it's doing a lot of work for

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Speaker 1: their pr and making them sound more interesting than they

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Speaker 1: are with the pockets. I don't think a kangaroo really

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Speaker 1: if you get past the fact that they let these

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Speaker 1: things out in their pouches are that interesting of an animal,

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Speaker 1: And I think the same goes for I mean, like

396
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Speaker 1: possums are a disaster, Like there's just so many animals.

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Speaker 1: Wombats are cute on their own that no one mentions

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Speaker 1: the pouch for them. So I just think that the

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Speaker 1: marsupials are maybe crum for lady. Yeah, yeah, it doesn't

400
00:21:19,440 --> 00:21:20,920
Speaker 1: have to be your whole personality. I guess it is

401
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Speaker 1: my point where you can just have one and not

402
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Speaker 1: bring it up. I would prefer they'd stop bringing it up.

403
00:21:25,560 --> 00:21:27,200
Speaker 1: I think it's actually what.

404
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Speaker 2: I personally find kangaroos to be. Like shot, you know,

405
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Speaker 2: if you can just like clear your mind of all

406
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Speaker 2: knowledge that you've ever learned and then like look at

407
00:21:36,080 --> 00:21:39,359
Speaker 2: the world with fresh eyes, like the fact that there

408
00:21:39,440 --> 00:21:46,200
Speaker 2: are deer sized rabbit things that just jump around like huge, yeah,

409
00:21:46,200 --> 00:21:49,480
Speaker 2: and will beat the shit out of you, and not

410
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Speaker 2: to mention, have a little pouch that they carry their babies.

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Speaker 2: And I find it pretty amazing.

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Speaker 1: But you you say, I would say upsetting. Yeah.

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Speaker 4: I think it's because your parents forced you to leave

414
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Speaker 4: the house when you're eighteen, probably right. My mom was like,

415
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Speaker 4: you say, as long as you want honey, yeahupial pouch

416
00:22:08,800 --> 00:22:09,040
Speaker 4: you know?

417
00:22:09,720 --> 00:22:11,960
Speaker 1: And I still they until then they made me sleep

418
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Speaker 1: in the mailbox in front of the couch or in

419
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Speaker 1: front of the house, which I believe in front of

420
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Speaker 1: the couch, and our mailbox was in our living room a.

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Speaker 4: Mailbox kind a mailbox? You what kind of mailbox you

422
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Speaker 4: got on top of it?

423
00:22:24,520 --> 00:22:28,560
Speaker 2: Like snoopy just eyes to the stars. One question I've

424
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Speaker 2: had that I think I've asked on this and maybe

425
00:22:30,320 --> 00:22:34,000
Speaker 2: had answered and forgot the answer. Marsupials, Are the pouch

426
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Speaker 2: dry or are the are in there?

427
00:22:39,040 --> 00:22:41,720
Speaker 4: But you know, from what I understand it, if.

428
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Speaker 2: I had a pouch, it would be disgusting, like if

429
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Speaker 2: I had a pouch on my.

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Speaker 1: Body, Like what do you keep in there?

431
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Speaker 4: Yeah?

432
00:22:48,080 --> 00:22:51,480
Speaker 1: That's right, I believe there are. And you do ask

433
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Speaker 1: this constantly, Jack, And.

434
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Speaker 2: I asked a good question, and I refuse to learn

435
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Speaker 2: the answer.

436
00:22:57,840 --> 00:23:02,160
Speaker 4: You just go to it. Hey, heys, is it wet

437
00:23:02,160 --> 00:23:04,360
Speaker 4: in there? You're like st you're talking to the kangaroos.

438
00:23:04,440 --> 00:23:06,560
Speaker 4: I'm just sorry the baby.

439
00:23:07,760 --> 00:23:08,119
Speaker 1: Keep it down.

440
00:23:08,240 --> 00:23:09,800
Speaker 3: Is it like wet or dry in there?

441
00:23:10,080 --> 00:23:11,359
Speaker 4: Yeah? All right, never mind.

442
00:23:11,440 --> 00:23:14,280
Speaker 1: I believe they can nurse in there.

443
00:23:14,800 --> 00:23:16,800
Speaker 3: I believe it is it.

444
00:23:16,800 --> 00:23:18,520
Speaker 2: It's gotta be a little moist in there.

445
00:23:19,000 --> 00:23:21,200
Speaker 1: If you If there's spillage, of course, and there will

446
00:23:21,320 --> 00:23:23,679
Speaker 1: there will be spillage, especially if that things hopping around.

447
00:23:24,000 --> 00:23:25,960
Speaker 1: Imagine trying to suckle from a tea and as your

448
00:23:26,000 --> 00:23:27,200
Speaker 1: mother bounces.

449
00:23:26,840 --> 00:23:31,160
Speaker 2: Up right trying like a fucking nightmare, you know, Blake,

450
00:23:31,200 --> 00:23:36,520
Speaker 2: You've just killed yourself with that, trying to seek. Imagine

451
00:23:36,600 --> 00:23:39,200
Speaker 2: trying to suckle from a tea as your mom bounces

452
00:23:39,280 --> 00:23:42,679
Speaker 2: upside down. Yeah, broadly, that's what Blake wants you to imagine.

453
00:23:42,880 --> 00:23:45,159
Speaker 2: Fold of skin with a single opening that covers the

454
00:23:45,200 --> 00:23:47,800
Speaker 2: teats inside the pouch. The blind offspring attaches itself to

455
00:23:47,840 --> 00:23:49,679
Speaker 2: one of the mother's teeths and remains attached for as

456
00:23:49,680 --> 00:23:51,439
Speaker 2: long as it takes to grow and to develop to

457
00:23:51,480 --> 00:23:53,040
Speaker 2: a juvenile stage.

458
00:23:53,200 --> 00:23:54,720
Speaker 1: So yeah, marsupials are awesome.

459
00:23:55,480 --> 00:23:58,440
Speaker 4: I find them very interesting.

460
00:23:58,480 --> 00:24:00,960
Speaker 2: Like I also think they're like kind of a alternate

461
00:24:01,880 --> 00:24:04,960
Speaker 2: like in the world of you know, like sort of

462
00:24:05,000 --> 00:24:08,600
Speaker 2: parallel evolution, where they like sort of evolved separately on

463
00:24:08,960 --> 00:24:12,320
Speaker 2: that God's forsaken continent down there, but they like kind

464
00:24:12,320 --> 00:24:14,520
Speaker 2: of look the same, except they got like a weird

465
00:24:14,560 --> 00:24:17,600
Speaker 2: little like feature, you know, like some of the like

466
00:24:17,800 --> 00:24:20,159
Speaker 2: we don't have our own version of kangaroos obviously, but

467
00:24:20,640 --> 00:24:24,200
Speaker 2: you know a lot of the marsupials are like similar

468
00:24:24,400 --> 00:24:27,640
Speaker 2: to what we've got up here, but just completely different

469
00:24:27,720 --> 00:24:30,480
Speaker 2: and like got that way all on their own, just

470
00:24:30,520 --> 00:24:34,520
Speaker 2: by reacting to the elements, which I find very interesting.

471
00:24:34,920 --> 00:24:38,560
Speaker 1: Well, Australia has kangaroos and we have frogs, so we

472
00:24:38,680 --> 00:24:40,000
Speaker 1: have the same different.

473
00:24:41,240 --> 00:24:45,119
Speaker 4: Yeah, yeah, exactly. All right, Well thanks for that, Blake.

474
00:24:45,400 --> 00:24:48,520
Speaker 4: We're say my pleasure and sorry to the audience for

475
00:24:48,640 --> 00:24:53,040
Speaker 4: giving out completely incorrect information about it.

476
00:24:53,200 --> 00:24:57,520
Speaker 1: Well I'm mad, I'm a little emotional.

477
00:24:58,440 --> 00:25:01,159
Speaker 3: Kangaroo is frog? Is it wet in there? We'll be

478
00:25:01,280 --> 00:25:01,680
Speaker 3: right back.

479
00:25:04,760 --> 00:25:06,960
Speaker 2: Is it wet in there? Though? Like, did we get

480
00:25:06,960 --> 00:25:07,720
Speaker 2: an answer on that?

481
00:25:08,440 --> 00:25:10,520
Speaker 4: I mean it based on the pictures.

482
00:25:10,560 --> 00:25:12,639
Speaker 3: Not really, It doesn't really mean it's like driving.

483
00:25:12,720 --> 00:25:15,720
Speaker 8: I mean I got something that says that kangaroo houch

484
00:25:16,240 --> 00:25:19,320
Speaker 8: is often damp, slimy, and sometimes smelly due to a

485
00:25:19,359 --> 00:25:22,719
Speaker 8: mix of milk, saliva, waste from the joey and natural

486
00:25:22,760 --> 00:25:23,440
Speaker 8: skin and oil.

487
00:25:23,600 --> 00:25:25,840
Speaker 2: Yeah that's what I thought, That's what and that's what

488
00:25:25,880 --> 00:25:26,120
Speaker 2: I thought.

489
00:25:26,240 --> 00:25:28,720
Speaker 1: Let's hit us up at waste fromth joey dot com

490
00:25:28,720 --> 00:25:43,480
Speaker 1: slash she had made it wet from the jarry And

491
00:25:43,600 --> 00:25:44,119
Speaker 1: we're back.

492
00:25:44,640 --> 00:25:48,240
Speaker 2: We're back, and we're gonna check in with the cities.

493
00:25:48,520 --> 00:25:52,560
Speaker 2: You know, we know that there's a I think better

494
00:25:52,640 --> 00:25:57,679
Speaker 2: than average, over fifty percent chance that America's biggest city

495
00:25:57,760 --> 00:26:00,840
Speaker 2: is about to just fall into ruin.

496
00:26:02,160 --> 00:26:06,040
Speaker 3: They're going to do over on themselves, like every.

497
00:26:05,800 --> 00:26:07,480
Speaker 2: Building they're going to do it too.

498
00:26:07,760 --> 00:26:09,679
Speaker 4: That's what it sounds like if you believe the ads.

499
00:26:09,760 --> 00:26:12,440
Speaker 4: That's exactly what happens if you will vote for somebody

500
00:26:12,480 --> 00:26:16,439
Speaker 4: who is Muslim means I mean again, just like the

501
00:26:16,640 --> 00:26:22,200
Speaker 4: obscene over Islamophobias, like yeah, Muslim nine eleven. You're like, wow, wow, wow,

502
00:26:22,240 --> 00:26:24,120
Speaker 4: wow is that gonna help? Bro?

503
00:26:24,880 --> 00:26:26,840
Speaker 2: Did you see they're going to do nine to eleven?

504
00:26:27,160 --> 00:26:27,840
Speaker 4: Yeah? Yeah.

505
00:26:28,080 --> 00:26:31,719
Speaker 2: But anyways, so New York down, But let's check out

506
00:26:31,720 --> 00:26:35,640
Speaker 2: with other cities. How how is everything? If you if

507
00:26:35,680 --> 00:26:40,240
Speaker 2: you ask the average Fox News viewer, American cities are

508
00:26:41,440 --> 00:26:43,840
Speaker 2: the worst they've ever been. I would have to assume

509
00:26:44,119 --> 00:26:47,040
Speaker 2: is based on what they just like falling apart?

510
00:26:47,600 --> 00:26:49,560
Speaker 4: What is happening? Like, how do you how do you

511
00:26:49,680 --> 00:26:50,240
Speaker 4: live there?

512
00:26:50,840 --> 00:26:54,600
Speaker 2: Is kind of the overall thesis from Fox News.

513
00:26:54,760 --> 00:26:57,840
Speaker 4: Yeah, I mean I live I live there? And I know,

514
00:26:57,920 --> 00:27:00,480
Speaker 4: how do how do we? How do we do it?

515
00:27:00,520 --> 00:27:02,760
Speaker 2: And why am I so lucky that I don't see

516
00:27:03,440 --> 00:27:09,440
Speaker 2: all all of the horrendous crime and you know, buildings

517
00:27:09,480 --> 00:27:10,680
Speaker 2: and cars everywhere?

518
00:27:10,880 --> 00:27:14,280
Speaker 4: The answer simple, The answer simple, you aren't seeing crime

519
00:27:14,640 --> 00:27:16,960
Speaker 4: because it's going fucking down.

520
00:27:17,760 --> 00:27:20,399
Speaker 2: Okay, it's going down for real. Do you mean like

521
00:27:20,480 --> 00:27:21,960
Speaker 2: it's for real?

522
00:27:22,400 --> 00:27:24,720
Speaker 4: Yeah? No, I don't know. I don't mean like that.

523
00:27:24,880 --> 00:27:30,040
Speaker 4: I mean the crime statistics, the the pomicide rates are plunging,

524
00:27:30,520 --> 00:27:38,399
Speaker 4: precipitously changing. No, no, no, not exactly hop their knife

525
00:27:38,400 --> 00:27:40,960
Speaker 4: into some specifically. I mean we've talked about like when

526
00:27:41,000 --> 00:27:44,600
Speaker 4: this first hole. You know, obviously they had to manufacture

527
00:27:44,680 --> 00:27:47,600
Speaker 4: consent for the federal invasion of cities with like dumb

528
00:27:47,680 --> 00:27:51,360
Speaker 4: fucking lies like one of our favorites, which is my.

529
00:27:51,480 --> 00:27:55,160
Speaker 1: Infant, nearly died in a drug fire after mass.

530
00:27:54,920 --> 00:27:57,440
Speaker 4: Shootings, and you're like, what the foh, oh my god, yeah,

531
00:27:57,440 --> 00:27:58,239
Speaker 4: I guess send them in.

532
00:27:58,320 --> 00:28:01,199
Speaker 2: That sounds that's like three bad things all all on

533
00:28:01,280 --> 00:28:02,160
Speaker 2: top of each other.

534
00:28:02,640 --> 00:28:04,800
Speaker 4: And prior to that, we were like, if you look

535
00:28:04,800 --> 00:28:07,359
Speaker 4: on a continum, crime's been going down. Well, actually just

536
00:28:07,359 --> 00:28:10,800
Speaker 4: did an analysis on just the first nine months of

537
00:28:10,840 --> 00:28:13,879
Speaker 4: twenty twenty five. Okay, not even like long term, like

538
00:28:13,960 --> 00:28:16,879
Speaker 4: even since the beginning of this year, from the beginning

539
00:28:16,920 --> 00:28:20,720
Speaker 4: of this year to September, it has been going down.

540
00:28:20,840 --> 00:28:26,240
Speaker 4: And we're talking about like significantly going down. For example,

541
00:28:26,600 --> 00:28:30,040
Speaker 4: forty percent decline over forty percent declines in homicides in

542
00:28:30,080 --> 00:28:34,360
Speaker 4: places like Buffalo, New York, Denver, Orlando, in Seattle, Atlanta, Baltimore,

543
00:28:34,359 --> 00:28:36,520
Speaker 4: and Chicago and Las Vegas were also amongst cities that

544
00:28:36,520 --> 00:28:41,800
Speaker 4: had drops of twenty five percent or more in homicides. Portland, again,

545
00:28:41,880 --> 00:28:44,360
Speaker 4: who we've heard is like, it's like living in hell, folks,

546
00:28:44,560 --> 00:28:47,360
Speaker 4: it's like living in hell. The line for voodoo doughnuts

547
00:28:47,520 --> 00:28:50,360
Speaker 4: still long. You'd think people have gotten over it, but no,

548
00:28:50,680 --> 00:28:54,400
Speaker 4: it's unbelievable. Thirty nine percent decrease in homicides in the

549
00:28:54,400 --> 00:28:57,800
Speaker 4: first nine months of this year. Memphis, where there's currently

550
00:28:58,120 --> 00:29:01,640
Speaker 4: back and forth about National Guard deployment, nineteen percent drop

551
00:29:01,840 --> 00:29:05,360
Speaker 4: over the first nine months of the year. Chicago is

552
00:29:05,440 --> 00:29:08,520
Speaker 4: actually led the nation with a twenty two point one

553
00:29:08,560 --> 00:29:12,600
Speaker 4: percent drop in overall violent crime during the first nine months.

554
00:29:12,640 --> 00:29:15,280
Speaker 4: So please tell us about these hell holes and why

555
00:29:15,320 --> 00:29:17,320
Speaker 4: you need to send in the National Guard. Oh, that's right.

556
00:29:17,360 --> 00:29:19,880
Speaker 4: You don't because this is all bullshit and you just again,

557
00:29:19,920 --> 00:29:22,720
Speaker 4: we've talked about this one hundred times, but this is

558
00:29:22,760 --> 00:29:26,200
Speaker 4: the facts are like so aggressively not in their favor.

559
00:29:27,080 --> 00:29:28,760
Speaker 4: But I don't know, but at this point, anyone who

560
00:29:28,840 --> 00:29:30,400
Speaker 4: had deigned to ask a question like that to the

561
00:29:30,440 --> 00:29:34,080
Speaker 4: administration probably doesn't have access anymore to White House. So

562
00:29:34,160 --> 00:29:37,440
Speaker 4: we'll have to ask. Hopefully, maybe Laura Lumer will ask

563
00:29:37,480 --> 00:29:40,320
Speaker 4: this question, because I just read she now is part

564
00:29:40,320 --> 00:29:42,960
Speaker 4: of the Pentagon presspool. To give you an idea of

565
00:29:43,000 --> 00:29:46,600
Speaker 4: who they're letting in there now concrets Laura. It's a

566
00:29:46,720 --> 00:29:47,320
Speaker 4: huge shoutout.

567
00:29:47,760 --> 00:29:50,480
Speaker 1: I think there's another shoutout for the huge huff, huge

568
00:29:50,840 --> 00:29:54,320
Speaker 1: underrated that it is even scarier that, like the fuckery

569
00:29:54,440 --> 00:29:56,960
Speaker 1: that he's up to, that they're sending troops into these

570
00:29:56,960 --> 00:30:00,960
Speaker 1: cities where he could just coin that as a political victory.

571
00:30:01,480 --> 00:30:05,480
Speaker 1: I took office and therefore crime dropped, and that's how

572
00:30:05,560 --> 00:30:09,880
Speaker 1: hell he is creating an authoritarian regime that that's not

573
00:30:10,040 --> 00:30:12,920
Speaker 1: enough anymore. Also, clearly there's no correlation between you know,

574
00:30:12,960 --> 00:30:16,320
Speaker 1: like those things, but that is something that normally they

575
00:30:16,320 --> 00:30:19,080
Speaker 1: would try to make, you know, take credit for it.

576
00:30:19,080 --> 00:30:21,320
Speaker 4: But the first administration he was like, oh I did that.

577
00:30:21,360 --> 00:30:24,200
Speaker 4: They're like, no, you didn't, not enough anymore. That's that's

578
00:30:24,280 --> 00:30:26,720
Speaker 4: you needn't do any of this. But yeah, I think again,

579
00:30:26,760 --> 00:30:28,880
Speaker 4: it just goes to show that there this go around,

580
00:30:28,880 --> 00:30:31,000
Speaker 4: there is no interest in even having a thing that

581
00:30:31,040 --> 00:30:33,680
Speaker 4: says I fixed this thing. It's like, well, no, the

582
00:30:34,160 --> 00:30:37,320
Speaker 4: guards are there to be able to declare martial law

583
00:30:37,360 --> 00:30:40,280
Speaker 4: at some point and fully clamp down on the country.

584
00:30:40,960 --> 00:30:44,000
Speaker 2: But yeah, so this this all started with trust, So

585
00:30:44,200 --> 00:30:46,280
Speaker 2: is it. Couldn't it just be that everybody's scared because

586
00:30:46,280 --> 00:30:48,160
Speaker 2: Trump can be so tough on crime, Like this is

587
00:30:48,200 --> 00:30:51,680
Speaker 2: a sudden drop after years of crime going up and

588
00:30:51,760 --> 00:30:53,920
Speaker 2: up and up in these in these cities, isn't that right?

589
00:30:54,200 --> 00:30:56,760
Speaker 4: Like that's going down.

590
00:30:57,640 --> 00:31:00,720
Speaker 3: Yeah, it's been going down and I basically going down.

591
00:31:01,000 --> 00:31:03,480
Speaker 1: Yeah that's not because I've been hearing about how bad

592
00:31:03,480 --> 00:31:05,680
Speaker 1: it is for a really, really, really long time. And

593
00:31:05,960 --> 00:31:07,880
Speaker 1: again I don't see it living in the cities. But

594
00:31:07,920 --> 00:31:08,960
Speaker 1: it has to be around.

595
00:31:09,040 --> 00:31:09,920
Speaker 4: It has to be.

596
00:31:10,000 --> 00:31:10,960
Speaker 1: It has to be around.

597
00:31:11,240 --> 00:31:14,320
Speaker 2: Yeah, that is getting out there, aren't you guys on

598
00:31:14,400 --> 00:31:16,560
Speaker 2: neighborhood neighbor Watch.

599
00:31:16,360 --> 00:31:17,880
Speaker 4: Or whatever those apps are.

600
00:31:18,080 --> 00:31:20,440
Speaker 1: I love neighbor Watch. I mean, I have a gold

601
00:31:20,520 --> 00:31:26,640
Speaker 1: Star on neighbor Watch. I go around dressed as the

602
00:31:26,680 --> 00:31:29,479
Speaker 1: guy from the neighborhood Watch sign with like a big

603
00:31:29,600 --> 00:31:33,440
Speaker 1: collar on and like a downward facing door, you know,

604
00:31:33,640 --> 00:31:34,680
Speaker 1: the Peter the Perfect.

605
00:31:34,920 --> 00:31:38,440
Speaker 2: Yeah, yeah, Peter the Perfect. I go around dress like that.

606
00:31:38,480 --> 00:31:40,400
Speaker 2: And that's the reason I go around dress like that,

607
00:31:40,560 --> 00:31:43,680
Speaker 2: no other reason that people have suggested, just to make

608
00:31:43,720 --> 00:31:46,880
Speaker 2: sure that neighborhood Watch is full in full effect. Yeah,

609
00:31:46,920 --> 00:31:49,720
Speaker 2: to keep watch, and because that is how criminals dress these.

610
00:31:49,680 --> 00:31:53,200
Speaker 4: Days, just as an aside or not just an additional fact.

611
00:31:53,240 --> 00:31:55,400
Speaker 4: Like New York in LA also two big cities that

612
00:31:55,440 --> 00:31:58,680
Speaker 4: have been dealing with federal bullshit. New York to homicide

613
00:31:58,720 --> 00:32:02,800
Speaker 4: rate dropped seventeen percent, Latt dropped twenty three percent. And

614
00:32:02,840 --> 00:32:06,440
Speaker 4: this has been part of a steady trend since the

615
00:32:06,520 --> 00:32:11,760
Speaker 4: last two years of Biden's administration. Huh yeah, yeah, yeah.

616
00:32:11,840 --> 00:32:15,040
Speaker 4: But I'm sure they'll find a way to say because

617
00:32:15,040 --> 00:32:17,560
Speaker 4: there are there, Okay, like for example, there's an outlier

618
00:32:17,600 --> 00:32:20,680
Speaker 4: where they're like Columbus, Ohio actually had of like an

619
00:32:20,760 --> 00:32:23,760
Speaker 4: uptick in violent crime. So then maybe they'll be like,

620
00:32:23,800 --> 00:32:27,760
Speaker 4: in Columbus, Ohio, is that well that's no, maybe not,

621
00:32:27,800 --> 00:32:28,600
Speaker 4: that's a red state.

622
00:32:28,760 --> 00:32:31,200
Speaker 3: Fuck yeah, yeah, yeah, yeah.

623
00:32:31,360 --> 00:32:34,960
Speaker 4: So I mean, not that this will stop anything, but

624
00:32:35,000 --> 00:32:37,640
Speaker 4: I think it's just important for people because it's easy

625
00:32:37,680 --> 00:32:39,360
Speaker 4: to get caught up in the idea when you hear

626
00:32:39,440 --> 00:32:42,200
Speaker 4: ambiently just a bunch of bullshit all the time about

627
00:32:42,240 --> 00:32:45,240
Speaker 4: how dangerous shit is getting and guys, it's so bad,

628
00:32:45,560 --> 00:32:48,520
Speaker 4: it's so bad, it's so bad for murderers. Right now,

629
00:32:48,560 --> 00:32:51,680
Speaker 4: it's so bad for murderers. The murderer business is down

630
00:32:51,760 --> 00:32:55,160
Speaker 4: right now. Homicides are down. But yeah, the homicides are down.

631
00:32:55,400 --> 00:32:58,320
Speaker 2: And the one thing that went away during the pandemic

632
00:32:58,360 --> 00:33:00,440
Speaker 2: that the police did not go away, even though they

633
00:33:00,600 --> 00:33:02,520
Speaker 2: pretended like their feelings were hurt, and they weren't.

634
00:33:02,520 --> 00:33:03,720
Speaker 4: They were there.

635
00:33:04,200 --> 00:33:07,720
Speaker 2: They were still you know, doing a bad job of

636
00:33:07,920 --> 00:33:11,720
Speaker 2: solving crimes. The one thing that went away are the programs,

637
00:33:12,240 --> 00:33:14,720
Speaker 2: like the things that don't get written about and people

638
00:33:14,720 --> 00:33:18,000
Speaker 2: are like, oh, you know, this is soft crime prevention shit,

639
00:33:18,240 --> 00:33:22,400
Speaker 2: like you know, keeping people off the streets by giving them,

640
00:33:22,760 --> 00:33:25,600
Speaker 2: you know, community based programs. That's the thing that went away.

641
00:33:25,760 --> 00:33:28,240
Speaker 2: That's when crime went up. And when those programs came

642
00:33:28,320 --> 00:33:31,320
Speaker 2: back after the shutdown, crime started going back down.

643
00:33:31,720 --> 00:33:33,640
Speaker 3: So yeah, I mean there was like a surge in

644
00:33:33,680 --> 00:33:37,360
Speaker 3: the beginning like of murders I remember, but.

645
00:33:37,360 --> 00:33:40,680
Speaker 2: Yeah, yeah, no, there was, and it was when everything

646
00:33:40,760 --> 00:33:44,640
Speaker 2: shut down and there wasn't like all of the community

647
00:33:44,680 --> 00:33:49,440
Speaker 2: based programs that work on crime that are not police based.

648
00:33:49,560 --> 00:33:52,560
Speaker 2: That's the thing that is the thing that completely and

649
00:33:52,640 --> 00:33:55,760
Speaker 2: definitively went away. And that's when we saw the rise

650
00:33:55,880 --> 00:33:58,320
Speaker 2: in crime. And once those came back, we saw a

651
00:33:58,360 --> 00:34:01,080
Speaker 2: drop in crime. The police never went away. The police

652
00:34:01,120 --> 00:34:04,840
Speaker 2: were still there. They just were acting mad.

653
00:34:04,920 --> 00:34:06,720
Speaker 3: Are you trying to say like they don't they're not

654
00:34:06,840 --> 00:34:08,120
Speaker 3: actually preventing crimes.

655
00:34:08,120 --> 00:34:10,520
Speaker 2: It's almost as if and I would never say that.

656
00:34:10,600 --> 00:34:12,960
Speaker 2: I'm just saying, there's a there's a.

657
00:34:12,960 --> 00:34:16,200
Speaker 5: Weird you're walking in thin blue line here, Bud, a

658
00:34:16,200 --> 00:34:20,200
Speaker 5: weird optical illusion happening that I have to assume is

659
00:34:20,280 --> 00:34:23,480
Speaker 5: some part of Zoramm Danni's uh.

660
00:34:23,120 --> 00:34:25,840
Speaker 2: You know, conspiracy to make it look like the police

661
00:34:25,840 --> 00:34:27,600
Speaker 2: aren't actually self crime.

662
00:34:27,680 --> 00:34:29,920
Speaker 4: I'm surprised that. Yeah, you think the cops would be like, oh,

663
00:34:30,080 --> 00:34:32,240
Speaker 4: look what we did, Yeah we did that. We did that.

664
00:34:32,239 --> 00:34:35,600
Speaker 4: That can give us more money so we can bankrupt

665
00:34:35,640 --> 00:34:39,480
Speaker 4: the city with settlement lawsuits like La is experiencing right now. Yeah,

666
00:34:39,719 --> 00:34:44,480
Speaker 4: or lawsuit settlements. All right, let's talk about let's talk

667
00:34:44,520 --> 00:34:51,000
Speaker 4: about Christmas. It's that time, baby Mariah War speaking. That's

668
00:34:51,040 --> 00:34:53,719
Speaker 4: another one. No Trump I ended that war as well.

669
00:34:54,120 --> 00:34:55,759
Speaker 3: He won't go on Christmas over.

670
00:34:55,800 --> 00:35:00,480
Speaker 4: Give me my nobel peace pipe, I mean peace whatever.

671
00:35:00,560 --> 00:35:09,040
Speaker 3: You know what he ye, my noble piece. He's gonna

672
00:35:09,040 --> 00:35:09,840
Speaker 3: say that eventually.

673
00:35:10,200 --> 00:35:13,320
Speaker 2: So, as mentioned Coke, last year, mid an AI generated

674
00:35:13,360 --> 00:35:19,800
Speaker 2: commercial with some weird like inhuman, soulless abominations that, according

675
00:35:19,840 --> 00:35:25,279
Speaker 2: to fans of Coke commercials, looked like shit. That was

676
00:35:25,320 --> 00:35:28,120
Speaker 2: a direct quote. No one said this is great, that's

677
00:35:28,120 --> 00:35:31,640
Speaker 2: for sure. Yes, Coca Cola Corporation listened to those concerns

678
00:35:31,640 --> 00:35:34,959
Speaker 2: and decided to we'll do it again, And so they've

679
00:35:34,960 --> 00:35:38,279
Speaker 2: doubled down and released more AI holiday ads this year.

680
00:35:38,880 --> 00:35:44,239
Speaker 2: They hired the exact same AI comedies last year this time,

681
00:35:44,320 --> 00:35:48,799
Speaker 2: though they used even fewer employees to crank out these

682
00:35:48,920 --> 00:35:53,000
Speaker 2: new cheap ass videos. It's this is again like we're

683
00:35:53,080 --> 00:35:57,760
Speaker 2: we're looking at them turning down opportunities like on the

684
00:35:57,840 --> 00:36:01,600
Speaker 2: techs or on the uh, you know side. We're looking

685
00:36:01,800 --> 00:36:04,120
Speaker 2: at them like turn down the opportunity to be like

686
00:36:04,560 --> 00:36:07,719
Speaker 2: we did it. We solved crime, like yay, for us,

687
00:36:07,760 --> 00:36:10,600
Speaker 2: because they can't make it seem like it's any less

688
00:36:10,640 --> 00:36:14,279
Speaker 2: dangerous out there. They need to keep everything seeming like

689
00:36:14,360 --> 00:36:18,280
Speaker 2: it's like the early part of RoboCop in every city.

690
00:36:18,719 --> 00:36:22,920
Speaker 2: And here I feel like we have a very instructive

691
00:36:22,920 --> 00:36:26,799
Speaker 2: example where like the AI companies could fake it, they

692
00:36:26,840 --> 00:36:30,359
Speaker 2: could be like, okay, we actually hired like a filmmaker

693
00:36:30,560 --> 00:36:33,879
Speaker 2: to help with these like make it look good, and

694
00:36:34,360 --> 00:36:40,720
Speaker 2: instead like they've made another shitty, shitty AI video, where

695
00:36:41,040 --> 00:36:46,319
Speaker 2: like the animals like morph between like realistic animals and

696
00:36:46,360 --> 00:36:51,040
Speaker 2: then like cartoon animals. Santa has an extra finger. The

697
00:36:51,200 --> 00:36:54,320
Speaker 2: only thing that they are bragging about is how few

698
00:36:54,360 --> 00:36:56,360
Speaker 2: people it puts them to do.

699
00:36:56,480 --> 00:36:59,279
Speaker 4: That's the thing where your ears need to, you know,

700
00:36:59,400 --> 00:37:01,200
Speaker 4: pop up for that one when you're like.

701
00:37:01,160 --> 00:37:05,359
Speaker 2: The product is actually job elimination. That's all they care about.

702
00:37:05,400 --> 00:37:07,600
Speaker 2: It's not just to make a better product, but to

703
00:37:07,719 --> 00:37:09,160
Speaker 2: create one of the ads.

704
00:37:09,360 --> 00:37:12,920
Speaker 4: Five AI specialists were needed to prompt turnout and refine

705
00:37:12,920 --> 00:37:14,640
Speaker 4: more than seventy thousand video clips.

706
00:37:14,880 --> 00:37:19,600
Speaker 2: Yeah, but it's just like there's no coherent like style.

707
00:37:19,840 --> 00:37:23,759
Speaker 2: It's just like various, like it's like a collage. It's

708
00:37:23,760 --> 00:37:26,479
Speaker 2: like a collage, which is this is what you would

709
00:37:26,480 --> 00:37:30,360
Speaker 2: expect if something was just pulling shit from the internet,

710
00:37:30,520 --> 00:37:32,040
Speaker 2: like to be like, all right, we'll take an animal

711
00:37:32,080 --> 00:37:33,879
Speaker 2: from there, like take a Santa from there?

712
00:37:34,160 --> 00:37:37,319
Speaker 4: Right, ones like is this polar Express like trying to

713
00:37:37,360 --> 00:37:39,399
Speaker 4: be hyper realistic. And I was like, yeah, remember these

714
00:37:39,400 --> 00:37:44,520
Speaker 4: ones from fucking Penguins of Madagascar, Right, there's those fuckers.

715
00:37:44,600 --> 00:37:46,560
Speaker 4: It's like what, yeah, what is There's not even a

716
00:37:46,600 --> 00:37:49,439
Speaker 4: coherent animation sound. Also like I don't understand why there's

717
00:37:49,480 --> 00:37:52,799
Speaker 4: all these animals, like and here's the Hawaiian animals and

718
00:37:52,840 --> 00:37:57,000
Speaker 4: here's the animals in Japan. And I'm like what I'm like, Oh,

719
00:37:57,000 --> 00:38:01,440
Speaker 4: thank god, a fucking otters drinking Coca cola. Oh, this

720
00:38:01,560 --> 00:38:02,600
Speaker 4: is what I always wanted.

721
00:38:03,120 --> 00:38:07,200
Speaker 1: So we took seventy thousand girls and made them two

722
00:38:07,239 --> 00:38:11,600
Speaker 1: girls who were almost identical to one another. And that's they.

723
00:38:11,640 --> 00:38:14,200
Speaker 1: We took the best of the seventy thousand girls and

724
00:38:14,239 --> 00:38:16,600
Speaker 1: we made them two different girls.

725
00:38:17,120 --> 00:38:19,319
Speaker 2: Their faces, dude, try it seem to be trying to

726
00:38:19,360 --> 00:38:23,719
Speaker 2: turn into one another, back and forth, and that that's

727
00:38:23,719 --> 00:38:25,560
Speaker 2: actually part of the style. And we think it looks good.

728
00:38:25,800 --> 00:38:30,759
Speaker 2: But like Steve job, famous tech guy, Steve's job, Steve's job,

729
00:38:31,360 --> 00:38:35,640
Speaker 2: he like when he introduced the iPhone, like it wasn't

730
00:38:35,840 --> 00:38:38,399
Speaker 2: done yet, and so he just like made it look

731
00:38:38,480 --> 00:38:42,120
Speaker 2: like it was done. Yeah, greatest type Yeah, just like yeah, exactly,

732
00:38:42,160 --> 00:38:44,239
Speaker 2: Like the shit didn't work, but he was like, just

733
00:38:44,280 --> 00:38:47,719
Speaker 2: make these three buttons do a thing, do these specific

734
00:38:47,760 --> 00:38:50,880
Speaker 2: things and people will be impressed. Like it would be

735
00:38:50,960 --> 00:38:53,880
Speaker 2: so easy to fake this and make it seem like

736
00:38:54,320 --> 00:38:57,680
Speaker 2: the industry is progressing, and they just don't even give

737
00:38:57,800 --> 00:38:58,399
Speaker 2: enough of a ship.

738
00:38:58,520 --> 00:39:01,080
Speaker 4: I think, Jack, I think they're lying even I don't

739
00:39:01,120 --> 00:39:03,560
Speaker 4: even you know, they could be totally lying about.

740
00:39:03,320 --> 00:39:06,320
Speaker 3: This, Like, dude, last year looked like deep Fried dog shit.

741
00:39:06,640 --> 00:39:09,080
Speaker 4: Yeah now and double the fucking people that make this

742
00:39:09,160 --> 00:39:11,480
Speaker 4: shit better, and it's like it still looks like shit

743
00:39:11,600 --> 00:39:15,000
Speaker 4: because you know, the whole push for AI is like

744
00:39:15,040 --> 00:39:17,480
Speaker 4: what you're talking about, it's Steve Jobs up there trying

745
00:39:17,480 --> 00:39:19,120
Speaker 4: to act like this thing is doing more than it

746
00:39:19,160 --> 00:39:21,920
Speaker 4: actually does, like on a sort of larger scale when

747
00:39:21,920 --> 00:39:23,719
Speaker 4: we're talking about how this is being rolled out and

748
00:39:23,760 --> 00:39:27,240
Speaker 4: presented to us. But like when you read the full

749
00:39:27,280 --> 00:39:30,200
Speaker 4: like quotes from the people at Disney, like again they're

750
00:39:30,239 --> 00:39:32,399
Speaker 4: like patting themselves on the back. It is like, rather

751
00:39:32,400 --> 00:39:34,319
Speaker 4: than fifty we'll use twenty people. This is the other

752
00:39:34,360 --> 00:39:36,319
Speaker 4: thing is said quote last year we decided to go

753
00:39:36,400 --> 00:39:38,840
Speaker 4: all in and it worked out well for us, and

754
00:39:38,920 --> 00:39:41,960
Speaker 4: noted that consumer engagement was very high. Yes, some parts

755
00:39:42,000 --> 00:39:43,840
Speaker 4: of the industry were not pleased we were using a

756
00:39:43,960 --> 00:39:47,480
Speaker 4: one generative AI film, but that's part and parcel of

757
00:39:47,560 --> 00:39:50,680
Speaker 4: doing something pioneering. We understand that concern, but we need

758
00:39:50,719 --> 00:39:53,600
Speaker 4: to keep moving forward and pushing the envelope. Then it

759
00:39:53,640 --> 00:39:55,560
Speaker 4: goes on to say the genie is out of the

760
00:39:55,560 --> 00:39:57,759
Speaker 4: bottle and you're not going to put it back in.

761
00:39:57,960 --> 00:40:00,840
Speaker 4: That is exactly how these people are talking, like in

762
00:40:00,880 --> 00:40:03,080
Speaker 4: the c suites and trying to feel It's like, well,

763
00:40:03,120 --> 00:40:05,319
Speaker 4: we dude, this, We've got to make it work.

764
00:40:05,320 --> 00:40:08,120
Speaker 3: We're not gonna suddenly be like it's an it actually sucks.

765
00:40:08,360 --> 00:40:11,560
Speaker 2: That's like what That's also what the Ghostbusters say after

766
00:40:11,760 --> 00:40:13,879
Speaker 2: the Ghosts get it like it's a It's a thing

767
00:40:14,000 --> 00:40:15,719
Speaker 2: that people say at the part of the movie when

768
00:40:15,760 --> 00:40:16,640
Speaker 2: something very.

769
00:40:16,480 --> 00:40:17,520
Speaker 4: Bad has happened.

770
00:40:18,120 --> 00:40:21,399
Speaker 1: It needs to be fixed immediately. Yeah, New York dies.

771
00:40:21,600 --> 00:40:23,560
Speaker 4: When does anyone ever said the genies out of the

772
00:40:23,560 --> 00:40:29,839
Speaker 4: bottle and you're like, yeah, god right, well they ain't.

773
00:40:29,920 --> 00:40:33,480
Speaker 3: Robin Williams, Okay, but yeah, it's anyways.

774
00:40:33,440 --> 00:40:35,600
Speaker 1: With the Steve Jobs analogy, it's like, at least with

775
00:40:35,680 --> 00:40:38,640
Speaker 1: the iPhone, I don't know how it works, you know

776
00:40:38,680 --> 00:40:40,480
Speaker 1: what I mean when you first introduce it's like, I

777
00:40:40,480 --> 00:40:42,879
Speaker 1: don't know what these chips do. I have no idea. Well,

778
00:40:42,880 --> 00:40:46,399
Speaker 1: when you show anyone a commercial, I know that's bad.

779
00:40:46,440 --> 00:40:48,879
Speaker 1: Like I've seen other things that I like. I don't

780
00:40:48,920 --> 00:40:51,319
Speaker 1: know how that shot, but I know it's better than

781
00:40:51,360 --> 00:40:52,319
Speaker 1: whatever the fuck this is.

782
00:40:52,520 --> 00:40:56,160
Speaker 3: Like it just looks bad. Yeah, it's just bird. It

783
00:40:56,160 --> 00:40:57,120
Speaker 3: looks soulless.

784
00:40:57,280 --> 00:40:59,960
Speaker 2: It's just pulling things from it. It's just a collage,

785
00:41:00,080 --> 00:41:05,319
Speaker 2: pulling different things from other people's creations. Uh, and then

786
00:41:05,360 --> 00:41:08,120
Speaker 2: it just like you know that. That's also how artists work, right,

787
00:41:08,200 --> 00:41:11,279
Speaker 2: They like pull inspiration from everything, but then they like

788
00:41:11,400 --> 00:41:16,160
Speaker 2: bring it inside and then it like they digest it

789
00:41:16,200 --> 00:41:18,960
Speaker 2: and then they create their own thing. And it just

790
00:41:19,000 --> 00:41:21,360
Speaker 2: doesn't it doesn't do that last part. It's just pulling

791
00:41:21,400 --> 00:41:23,240
Speaker 2: that ship and just putting it right on the screen,

792
00:41:23,280 --> 00:41:25,839
Speaker 2: and so it just looks like a bunch of shit.

793
00:41:25,920 --> 00:41:29,000
Speaker 2: It's just a collage of other a collage of ship

794
00:41:29,200 --> 00:41:34,480
Speaker 2: they found on the internet, much like this podcast. Yeah,

795
00:41:34,560 --> 00:41:37,800
Speaker 2: I would never I would never say never ever, just

796
00:41:37,840 --> 00:41:39,160
Speaker 2: sail under your breath all the time.

797
00:41:39,239 --> 00:41:41,960
Speaker 4: Yeah, yeah, uh yeah, that's whatever.

798
00:41:42,080 --> 00:41:44,799
Speaker 3: This good luck with the AI. It's not gonna work.

799
00:41:44,880 --> 00:41:48,440
Speaker 4: It's there, every single thing that they're putting out like

800
00:41:48,680 --> 00:41:50,320
Speaker 4: they would have to be like you know that movie

801
00:41:50,360 --> 00:41:54,640
Speaker 4: Weapons that came out that was all AI, right, Like

802
00:41:54,760 --> 00:41:59,080
Speaker 4: what gotcha? Yeah, Like that's a really interesting idea. And sorry,

803
00:41:59,120 --> 00:42:01,040
Speaker 4: but this is again, I'm looking at a thing that

804
00:42:01,160 --> 00:42:04,600
Speaker 4: looks like a fucking weird slap together montage of like

805
00:42:04,719 --> 00:42:10,320
Speaker 4: digital and digitally animated animal anthropomorphized fuckers wearing Hawaiian shirts,

806
00:42:10,760 --> 00:42:13,600
Speaker 4: and I'm like, wow, holy shit, yeah, burn burn the

807
00:42:13,640 --> 00:42:16,640
Speaker 4: forests down for this nonsense. Yeah, but I think this

808
00:42:16,840 --> 00:42:19,360
Speaker 4: also goes to show that because they don't have the

809
00:42:19,440 --> 00:42:23,160
Speaker 4: kinds of like consumer facing applications that they thought everyone

810
00:42:23,200 --> 00:42:26,040
Speaker 4: was gonna start throwing their money at on a consumer level,

811
00:42:26,120 --> 00:42:28,520
Speaker 4: that this is really the only place that they think

812
00:42:28,560 --> 00:42:31,280
Speaker 4: they can like eke out these like quote unquote wins

813
00:42:31,280 --> 00:42:33,399
Speaker 4: and be like the commercial that we made.

814
00:42:33,719 --> 00:42:36,880
Speaker 2: Yeah, all right, let's take a quick break. We'll be

815
00:42:36,960 --> 00:42:40,759
Speaker 2: right back to talk about the cyber truck cop car fleekock.

816
00:42:41,239 --> 00:42:56,959
Speaker 2: Hell yeah, now things are getting cool and we're back.

817
00:42:57,239 --> 00:42:59,920
Speaker 4: We're back, and I think.

818
00:43:00,120 --> 00:43:02,920
Speaker 2: What one of our first thoughts upon seeing the cyber

819
00:43:02,960 --> 00:43:04,760
Speaker 2: truck is that they kind of looked like the shitty

820
00:43:04,800 --> 00:43:07,960
Speaker 2: cop cars from the RoboCop universe, you know, like they

821
00:43:08,880 --> 00:43:12,160
Speaker 2: just like kind of rusty metal looking things. And also

822
00:43:12,239 --> 00:43:14,560
Speaker 2: they look like they were designed by someone trying to

823
00:43:14,640 --> 00:43:17,719
Speaker 2: design the future in the year nineteen eighty seven. And

824
00:43:18,640 --> 00:43:22,279
Speaker 2: now the idea of cyber truck cop cars is here.

825
00:43:22,800 --> 00:43:25,640
Speaker 2: May seem a little on the nose dystopian, but you

826
00:43:25,680 --> 00:43:29,960
Speaker 2: know that is that is where we're at. So last October,

827
00:43:30,000 --> 00:43:33,520
Speaker 2: Irvine in California bragged that they spent over one hundred

828
00:43:33,520 --> 00:43:37,759
Speaker 2: and fifty thousand dollars on a modded cyber truck, and

829
00:43:38,160 --> 00:43:41,520
Speaker 2: I believe that's not even factoring in the budget that

830
00:43:41,560 --> 00:43:44,919
Speaker 2: they had to put together for this promotional video where

831
00:43:44,960 --> 00:43:48,480
Speaker 2: they announced the cyber truck was here. And I just

832
00:43:48,520 --> 00:43:52,400
Speaker 2: want to watch it for listeners. We'll kind of describe

833
00:43:52,400 --> 00:43:55,600
Speaker 2: what's happening. You'll also be able to hear some I'm

834
00:43:55,640 --> 00:43:58,799
Speaker 2: assuming not rights cleared music, so maybe we have to

835
00:43:59,320 --> 00:44:00,000
Speaker 2: keep the volume down.

836
00:44:00,120 --> 00:44:03,279
Speaker 1: But it's just it's a oh Jack quick, before you

837
00:44:03,320 --> 00:44:05,919
Speaker 1: play this, can I put on a hold on because

838
00:44:06,080 --> 00:44:08,239
Speaker 1: I'm going to tear my shirt off while watching this,

839
00:44:08,360 --> 00:44:10,040
Speaker 1: so just give me one second.

840
00:44:10,400 --> 00:44:13,960
Speaker 4: Yeah, okay, cheaper than the one you got on. That's

841
00:44:14,400 --> 00:44:15,200
Speaker 4: that's not nice.

842
00:44:15,800 --> 00:44:17,080
Speaker 1: I told you that inconfidence.

843
00:44:17,280 --> 00:44:19,680
Speaker 4: Okay, I told you in confidence. This is a one

844
00:44:19,760 --> 00:44:23,839
Speaker 4: century all right. Yeah, this is cool.

845
00:44:23,960 --> 00:44:27,440
Speaker 2: Lightning lightning strikes and off the top and then we

846
00:44:27,440 --> 00:44:29,640
Speaker 2: see a cyber truck that has police lights on it.

847
00:44:29,760 --> 00:44:31,239
Speaker 4: Oh dude, how fast is that going?

848
00:44:31,560 --> 00:44:34,799
Speaker 2: Yeah, it's uh, it's rolling about five miles per hour.

849
00:44:34,840 --> 00:44:39,319
Speaker 2: It's getting up to speeds topping wait twenty theme, it's

850
00:44:39,360 --> 00:44:43,800
Speaker 2: doing the terminator theme, drove over water, it's driving past

851
00:44:43,880 --> 00:44:46,760
Speaker 2: a fountain in downtown.

852
00:44:47,440 --> 00:44:50,000
Speaker 4: Dude, at least oh ship, dude.

853
00:44:50,000 --> 00:44:53,200
Speaker 9: They put a camera on the road in it so

854
00:44:53,239 --> 00:44:55,480
Speaker 9: it can drive and it can stop, is what we

855
00:44:55,600 --> 00:44:58,080
Speaker 9: just learned, because it just showed it driving a straight line,

856
00:44:58,680 --> 00:45:00,399
Speaker 9: just smoking there.

857
00:45:00,480 --> 00:45:02,840
Speaker 4: They've they've got a fog machine. Oh okay.

858
00:45:02,920 --> 00:45:04,560
Speaker 3: Oh it's just an accent the lights of it.

859
00:45:04,719 --> 00:45:08,680
Speaker 4: Okay. And then uh, yeah, it's just there on the side.

860
00:45:08,800 --> 00:45:11,000
Speaker 4: Oh man, that program that got me to do drugs?

861
00:45:12,239 --> 00:45:15,279
Speaker 2: Yeah, and then the police stand out and stand next

862
00:45:15,360 --> 00:45:19,080
Speaker 2: to it and it says Irvine Police cyber truck written

863
00:45:19,120 --> 00:45:23,000
Speaker 2: in fucking lightning, Doug, that's it. That's the that's the

864
00:45:23,120 --> 00:45:27,560
Speaker 2: video again. It looks like a promo video for announcing

865
00:45:27,600 --> 00:45:29,760
Speaker 2: the invention of trucks.

866
00:45:29,960 --> 00:45:32,680
Speaker 3: Yeah, of a police car or something not even like they.

867
00:45:32,560 --> 00:45:35,600
Speaker 2: Play crazy dramatic music and then it just drives in

868
00:45:35,680 --> 00:45:39,120
Speaker 2: a straight line for one hundreds yards at like twenty

869
00:45:39,160 --> 00:45:42,800
Speaker 2: five miles per hour and then the cops get out like, yeah,

870
00:45:42,880 --> 00:45:46,359
Speaker 2: we just did that, and that's what cars do, That's

871
00:45:46,360 --> 00:45:49,560
Speaker 2: what all cars do. That's it just drop.

872
00:45:49,960 --> 00:45:51,320
Speaker 4: They didn't even do a turn.

873
00:45:51,440 --> 00:45:53,799
Speaker 2: Didn't even do a turn, or may not be able

874
00:45:53,840 --> 00:45:56,400
Speaker 2: to turn. That might be one of the mods of it.

875
00:45:56,200 --> 00:45:57,439
Speaker 1: Is intentionally left out.

876
00:45:57,760 --> 00:46:01,080
Speaker 4: Yeah. I just love how police have such insane budgets

877
00:46:01,160 --> 00:46:04,480
Speaker 4: that they have to it's like a fucking challenge for

878
00:46:04,560 --> 00:46:07,240
Speaker 4: them to spend as much money as possible.

879
00:46:07,280 --> 00:46:09,200
Speaker 2: Well, we're gonna get to the funding in a bit,

880
00:46:09,440 --> 00:46:13,319
Speaker 2: because the whole fleet that just dropped in Vegas is

881
00:46:13,360 --> 00:46:16,200
Speaker 2: not coming from their police budget, and it's actually more

882
00:46:16,280 --> 00:46:19,080
Speaker 2: dystopian that But so the Irvine one was actually as

883
00:46:19,120 --> 00:46:23,160
Speaker 2: you as you noted, Eagle Eyed Miles noted that my

884
00:46:23,560 --> 00:46:28,440
Speaker 2: favorite early nineties musician, it's a dare on it.

885
00:46:28,360 --> 00:46:31,120
Speaker 4: Because about Barry.

886
00:46:31,360 --> 00:46:31,759
Speaker 3: Yeah, it.

887
00:46:33,280 --> 00:46:36,040
Speaker 2: Was a trick to try and get children engaging with

888
00:46:36,120 --> 00:46:40,200
Speaker 2: cops around the DARE anti drug program, because nothing says

889
00:46:40,239 --> 00:46:42,640
Speaker 2: don't do drugs quite like rolling up to school in

890
00:46:42,680 --> 00:46:46,880
Speaker 2: a truck conceived and designed entirely by the drug ketamine.

891
00:46:47,280 --> 00:46:51,000
Speaker 2: Yeah yeah, yeah, truly and the power of k This

892
00:46:51,400 --> 00:46:56,120
Speaker 2: is apparently like they used to have PT cruisers for

893
00:46:56,160 --> 00:46:58,720
Speaker 2: some reason, but also just like straight up monster trucks

894
00:46:58,760 --> 00:47:02,280
Speaker 2: that were like, you know, Sheriff Department with like dayre

895
00:47:02,280 --> 00:47:06,080
Speaker 2: on the side and just giant, cartoonish big wheels. Anyways,

896
00:47:06,239 --> 00:47:09,040
Speaker 2: it's a silly idea, but they were like, we're gonna

897
00:47:09,440 --> 00:47:12,800
Speaker 2: kids might be into this. And then the Las Vegas

898
00:47:12,840 --> 00:47:17,800
Speaker 2: PD has officially unveiled the nation's first fully operational cyber

899
00:47:17,840 --> 00:47:19,560
Speaker 2: truck patrol fleet to.

900
00:47:19,800 --> 00:47:24,160
Speaker 4: That's right, Hell yeah, Oh you're just saying, dude, because

901
00:47:24,160 --> 00:47:26,040
Speaker 4: you just saw it. You're basking in the glory of

902
00:47:26,040 --> 00:47:30,160
Speaker 4: the new LVMLV Metropolitan Police Department. Yeah.

903
00:47:30,200 --> 00:47:33,319
Speaker 2: So the sheriff flat out admitted the point was to

904
00:47:33,480 --> 00:47:36,839
Speaker 2: look kind of cool, not even really cool, just kind

905
00:47:36,840 --> 00:47:40,120
Speaker 2: of cool and use the cars as a recruiting tool

906
00:47:40,680 --> 00:47:44,640
Speaker 2: and defended the expensive vehicles by pointing out that they're bulletproof.

907
00:47:44,640 --> 00:47:47,320
Speaker 4: Also, which that quote is amazing when he said the

908
00:47:47,360 --> 00:47:49,759
Speaker 4: cyber trucks are quote this is the sheriff quote, heck

909
00:47:49,800 --> 00:47:52,520
Speaker 4: of a recruiting tool. These trucks are high performance and

910
00:47:52,560 --> 00:47:56,040
Speaker 4: they're built tough. That's forward to handle everything from Fremont

911
00:47:56,040 --> 00:47:57,480
Speaker 4: Street to Red Rock Canyon.

912
00:47:57,920 --> 00:47:59,680
Speaker 3: And then this is the part, cops are gonna look

913
00:47:59,719 --> 00:48:00,960
Speaker 3: kind of cool in them too.

914
00:48:00,880 --> 00:48:05,640
Speaker 2: Right, right, right, right right, you guys like me, right.

915
00:48:05,880 --> 00:48:08,520
Speaker 4: No, you look like a fucking loser who decided to

916
00:48:08,520 --> 00:48:10,719
Speaker 4: be a cop in a fucking shitty ketamine car.

917
00:48:11,120 --> 00:48:16,080
Speaker 2: Yeah, he did the defend that. Okay, so oh you

918
00:48:16,120 --> 00:48:18,960
Speaker 2: don't think they look cool, Well, they're bulletproof to anybody

919
00:48:19,000 --> 00:48:21,480
Speaker 2: mention that except really there said that.

920
00:48:22,360 --> 00:48:25,640
Speaker 4: Yeah, Musk said that. We saw that at.

921
00:48:25,560 --> 00:48:31,160
Speaker 2: The same presentation where he was like, the glasses absolutely bulletproof. Watch,

922
00:48:31,200 --> 00:48:35,719
Speaker 2: We're going to drop a ball on it the easiest way, bulletproof,

923
00:48:36,160 --> 00:48:39,840
Speaker 2: and then even throwing a ball at the window broke

924
00:48:39,880 --> 00:48:40,360
Speaker 2: the window.

925
00:48:40,960 --> 00:48:43,000
Speaker 4: Yeah, that was one of the best parts.

926
00:48:43,200 --> 00:48:46,319
Speaker 2: Was the ball made of bullets a bullet it was

927
00:48:46,360 --> 00:48:47,480
Speaker 2: not it was not a bullet ball.

928
00:48:47,520 --> 00:48:50,040
Speaker 3: It was just it was it was it broke though.

929
00:48:50,239 --> 00:48:53,200
Speaker 2: See that was like he didn't care because when he

930
00:48:53,280 --> 00:48:55,080
Speaker 2: threw it and it broke the window, he said, oh

931
00:48:55,120 --> 00:48:59,920
Speaker 2: my fucking gosh, and then said, well, maybe that was

932
00:49:00,000 --> 00:49:03,200
Speaker 2: a little too hard. It didn't go through, though. That's

933
00:49:03,239 --> 00:49:06,560
Speaker 2: the plus side. So I think we can assume that

934
00:49:06,600 --> 00:49:10,640
Speaker 2: if an electrical engineer throwing a metal ball at a

935
00:49:10,680 --> 00:49:15,120
Speaker 2: window didn't go through, it's probably a bulletproof. There's also

936
00:49:15,120 --> 00:49:17,759
Speaker 2: a YouTube person who was like, the people keep saying

937
00:49:17,800 --> 00:49:23,040
Speaker 2: these are bulletproof, so they shot a round at the

938
00:49:23,080 --> 00:49:27,960
Speaker 2: cyber truck and it, to quote a recap of the video,

939
00:49:28,440 --> 00:49:32,120
Speaker 2: the fifty caliber round will cut through the cyber truck's body.

940
00:49:31,840 --> 00:49:34,600
Speaker 4: Work like butter. Yeah, I mean that's it.

941
00:49:35,160 --> 00:49:38,600
Speaker 1: It's not even like it's supposed to be bulletproof. It's

942
00:49:38,640 --> 00:49:42,799
Speaker 1: a bullet conductor. It passes the bullet through, it makes

943
00:49:42,840 --> 00:49:43,600
Speaker 1: it speed up.

944
00:49:43,840 --> 00:49:47,760
Speaker 4: Yeah. Wait there, when he throws it, sure you sure?

945
00:49:52,760 --> 00:49:53,799
Speaker 4: Oh my fucking.

946
00:49:55,280 --> 00:49:58,080
Speaker 3: Engineers have infamously strong throwing arms.

947
00:49:58,280 --> 00:50:01,080
Speaker 2: That guy looked like he had never thrown a baseball

948
00:50:01,120 --> 00:50:02,080
Speaker 2: in his life.

949
00:50:02,160 --> 00:50:04,480
Speaker 4: He looked like he was trying to be like, let

950
00:50:04,480 --> 00:50:07,239
Speaker 4: me not fuck this thing up and pretend I'm throwing

951
00:50:07,280 --> 00:50:09,960
Speaker 4: He's like, bro, this shit. Maybe that was a little

952
00:50:10,000 --> 00:50:10,600
Speaker 4: too hard.

953
00:50:10,719 --> 00:50:13,479
Speaker 2: That was as soft as it could have been while

954
00:50:13,560 --> 00:50:15,640
Speaker 2: still technically being thrown overhand.

955
00:50:15,800 --> 00:50:18,320
Speaker 3: He should have just painted a tennis ball like chrome

956
00:50:19,440 --> 00:50:22,000
Speaker 3: and be like, see that, look at that as shit.

957
00:50:22,160 --> 00:50:26,359
Speaker 1: Go to producer Victor's point. I remember when we were

958
00:50:26,760 --> 00:50:29,960
Speaker 1: talking about what to say when it first came out.

959
00:50:30,040 --> 00:50:34,080
Speaker 1: He said, you should wear a better hat. He said that. Actually,

960
00:50:35,480 --> 00:50:38,160
Speaker 1: you remember when they first came out and it went

961
00:50:38,160 --> 00:50:39,479
Speaker 1: you couldn't drive them in the rain.

962
00:50:39,880 --> 00:50:41,840
Speaker 4: Oh, when you were like car wash mode was like

963
00:50:41,920 --> 00:50:43,560
Speaker 4: car washes were also fucking them up too.

964
00:50:43,560 --> 00:50:45,360
Speaker 1: They're like, we didn't have it in car wash mode.

965
00:50:45,440 --> 00:50:47,719
Speaker 1: You're like, exactly, so this is bulletproof. Now they went

966
00:50:47,719 --> 00:50:51,480
Speaker 1: from can't drive it in water falling from the sky,

967
00:50:51,760 --> 00:50:54,759
Speaker 1: can't wash it at a car wash, but.

968
00:50:55,680 --> 00:50:57,759
Speaker 2: That Las Vegas is the only place that's doing at

969
00:50:57,760 --> 00:51:00,279
Speaker 2: a place so like where it almost never rains. So

970
00:51:00,320 --> 00:51:02,799
Speaker 2: it's a good point that has been baked into this.

971
00:51:03,000 --> 00:51:06,000
Speaker 3: It's called forty chess, dude, forty chess, you know what

972
00:51:06,040 --> 00:51:06,359
Speaker 3: I mean.

973
00:51:06,680 --> 00:51:09,160
Speaker 1: It's so Irvine has just has the one. It's just

974
00:51:09,239 --> 00:51:10,640
Speaker 1: that one truck, just the one.

975
00:51:10,920 --> 00:51:17,280
Speaker 2: It's like a but now Vegas is like, uh yeah,

976
00:51:17,400 --> 00:51:19,120
Speaker 2: bad guys are running scared.

977
00:51:19,560 --> 00:51:22,320
Speaker 4: Wait, so if if the Irvine one is obviously paid

978
00:51:22,320 --> 00:51:25,680
Speaker 4: with the whatever city funds that the cop budget, you said,

979
00:51:25,680 --> 00:51:26,719
Speaker 4: the Vegas one is not.

980
00:51:27,120 --> 00:51:29,440
Speaker 2: That's not coming out of the Okay, So people, there

981
00:51:29,440 --> 00:51:35,440
Speaker 2: are some concerns ranging from excessive police militarization to privacy issues.

982
00:51:35,680 --> 00:51:37,840
Speaker 2: Sure does this mean that Tesla will be able to

983
00:51:37,840 --> 00:51:41,359
Speaker 2: surveil law enforcement in Vegas? And then people were like, also,

984
00:51:41,400 --> 00:51:43,799
Speaker 2: where'd you get the money for seven cyber trucks, which

985
00:51:43,840 --> 00:51:46,839
Speaker 2: are like the most overpriced car on the market. It

986
00:51:46,920 --> 00:51:49,520
Speaker 2: was not paid for it by the public, they reassured, don't.

987
00:51:49,360 --> 00:51:50,120
Speaker 4: Worry, yess, you didn't.

988
00:51:50,160 --> 00:51:52,160
Speaker 2: You didn't pay for it. It was actually paid for by

989
00:51:52,200 --> 00:51:56,240
Speaker 2: a billionaire private citizen, which not anymore.

990
00:51:57,600 --> 00:51:59,719
Speaker 3: Yeah, no, no, that's much better.

991
00:51:59,600 --> 00:52:00,680
Speaker 4: Ben Horowitz.

992
00:52:01,200 --> 00:52:05,040
Speaker 2: At first they were like, it's anonymous, don't worry about yeah, yeah,

993
00:52:05,080 --> 00:52:06,839
Speaker 2: like Bruce, Wayne, you know, like you don't. You don't

994
00:52:06,880 --> 00:52:10,319
Speaker 2: have to know everything that goes on. And then people like,

995
00:52:10,600 --> 00:52:13,680
Speaker 2: we kind of do, and reporters found out it was

996
00:52:13,680 --> 00:52:16,840
Speaker 2: Ben Horowitz, co founder of the Silicon Valley venture capital

997
00:52:16,920 --> 00:52:21,440
Speaker 2: firm known as Andresen Horowitz, who was also among the

998
00:52:21,480 --> 00:52:24,280
Speaker 2: investors who back to Elon Musk's bid to take over Twitter.

999
00:52:24,719 --> 00:52:25,000
Speaker 4: Yep.

1000
00:52:25,440 --> 00:52:28,560
Speaker 2: Yeah, so they're like on board with Elon Musk taking over. Shit,

1001
00:52:28,680 --> 00:52:30,640
Speaker 2: he absolutely should not take over.

1002
00:52:31,280 --> 00:52:33,640
Speaker 4: And you know, remember we were talking about those like

1003
00:52:33,760 --> 00:52:38,280
Speaker 4: billionaire fucking like telegram groups where they all exchange ideas,

1004
00:52:38,280 --> 00:52:41,160
Speaker 4: and Mark Andreeson is always talking wacky shit like of

1005
00:52:41,239 --> 00:52:43,480
Speaker 4: Andres and Horowitz, Like, these are the same guys who

1006
00:52:43,480 --> 00:52:46,200
Speaker 4: are like, you know, if they're like their whole thing

1007
00:52:46,280 --> 00:52:49,480
Speaker 4: is like they believe in like like a full on

1008
00:52:49,560 --> 00:52:53,480
Speaker 4: tech oligarchy. So it makes sense that he's like, yeah, yeah, yeah, here, look,

1009
00:52:53,760 --> 00:52:56,680
Speaker 4: what do you need more fucking cyber trucks, because well,

1010
00:52:57,160 --> 00:52:59,640
Speaker 4: I'm gonna need some protection of my bunker, right.

1011
00:53:00,280 --> 00:53:04,000
Speaker 2: Horwitz has acted as middleman between the Las Vegas Municipal

1012
00:53:04,000 --> 00:53:07,000
Speaker 2: Police Department and venture capital firms to secure new tech,

1013
00:53:07,239 --> 00:53:09,520
Speaker 2: and he has donated at least seven point six million

1014
00:53:09,560 --> 00:53:12,040
Speaker 2: dollars to fund police department purchases.

1015
00:53:11,600 --> 00:53:12,800
Speaker 4: Over the last few years.

1016
00:53:13,440 --> 00:53:17,080
Speaker 2: Again, these guys are not He's not just a fan

1017
00:53:17,480 --> 00:53:20,840
Speaker 2: of the Las Vegas Police Department. No, I don't think.

1018
00:53:21,239 --> 00:53:25,279
Speaker 2: I think the people at that level are very purposeful

1019
00:53:25,320 --> 00:53:27,680
Speaker 2: about like where they're putting their money, and like when

1020
00:53:27,719 --> 00:53:29,560
Speaker 2: you try and think of what the end game is

1021
00:53:30,239 --> 00:53:36,040
Speaker 2: of a billionaire trying to be an early investor in

1022
00:53:36,680 --> 00:53:42,520
Speaker 2: like police departments getting more militaristic seems weird. This was

1023
00:53:42,960 --> 00:53:47,040
Speaker 2: not surprisingly horrifying to ethics watchdogs since it allows cops

1024
00:53:47,080 --> 00:53:50,920
Speaker 2: to quote bypass the typical procurement process that can include

1025
00:53:51,200 --> 00:53:56,960
Speaker 2: bullshit like public meetings, a city approved budget, potential bidding

1026
00:53:57,000 --> 00:53:58,920
Speaker 2: period to give competition a chance.

1027
00:53:59,440 --> 00:54:01,080
Speaker 4: Yeah fuck fuck all that.

1028
00:54:01,440 --> 00:54:03,040
Speaker 1: Yeah, I mean I just want to be able to

1029
00:54:03,040 --> 00:54:05,480
Speaker 1: buy a gun and give it to a cop, like

1030
00:54:05,520 --> 00:54:07,560
Speaker 1: a cool gun. And I'm not in what am I

1031
00:54:07,560 --> 00:54:09,600
Speaker 1: not allowed to do that with my private money?

1032
00:54:09,600 --> 00:54:10,239
Speaker 4: But gun day?

1033
00:54:10,760 --> 00:54:10,960
Speaker 1: Yeah?

1034
00:54:12,840 --> 00:54:15,440
Speaker 4: Sure, do you want a rail gun?

1035
00:54:17,120 --> 00:54:19,560
Speaker 1: This is so much better than yours? Here on me.

1036
00:54:20,640 --> 00:54:21,360
Speaker 4: You want to trade?

1037
00:54:21,440 --> 00:54:23,759
Speaker 3: Yeah, thanks for the work you do, man, I really

1038
00:54:23,800 --> 00:54:24,600
Speaker 3: appreciate it.

1039
00:54:24,840 --> 00:54:26,080
Speaker 4: What are they fucking thinking?

1040
00:54:26,239 --> 00:54:27,960
Speaker 2: I mean it is a good idea, though, for anybody

1041
00:54:28,040 --> 00:54:30,360
Speaker 2: who thinks that's a good idea, I think you should

1042
00:54:30,360 --> 00:54:31,680
Speaker 2: buy a cop of gun, and I think you should

1043
00:54:31,719 --> 00:54:33,719
Speaker 2: run up to them with it to surprise that. Make

1044
00:54:33,760 --> 00:54:35,520
Speaker 2: sure it's surprising to steal.

1045
00:54:35,800 --> 00:54:41,719
Speaker 3: Steal is not registered and it never will be.

1046
00:54:42,239 --> 00:54:47,960
Speaker 2: This is for you, hey, copper, This is for you.

1047
00:54:48,840 --> 00:54:52,879
Speaker 2: The this is actually a trend. Police foundations all over

1048
00:54:52,880 --> 00:54:56,120
Speaker 2: the country are basically dark money slush funds for contributions

1049
00:54:56,120 --> 00:55:01,120
Speaker 2: from private corporate donors who secretly financed vitualized weapons and

1050
00:55:01,200 --> 00:55:03,719
Speaker 2: technology with little public oversight.

1051
00:55:03,880 --> 00:55:06,520
Speaker 4: Yeah yeah, I mean this is again, this is like

1052
00:55:06,560 --> 00:55:09,000
Speaker 4: the boomerang people talk about. It's like all these like

1053
00:55:09,320 --> 00:55:13,719
Speaker 4: weird technologies that we let other authoritarian regimes like you know,

1054
00:55:13,800 --> 00:55:15,839
Speaker 4: like like what we've seen at Goaza and things like that,

1055
00:55:15,960 --> 00:55:18,000
Speaker 4: they come back to the United States in the form

1056
00:55:18,040 --> 00:55:21,920
Speaker 4: of law enforcement technology. Yeah and yeah, and it makes

1057
00:55:21,960 --> 00:55:24,040
Speaker 4: perfect sense that pretty soon somebody gonna be like, yeah,

1058
00:55:24,120 --> 00:55:29,680
Speaker 4: we gifted h the Frisco, Texas Sheriff Department three reaper drones.

1059
00:55:29,800 --> 00:55:30,560
Speaker 4: Yeah exactly.

1060
00:55:30,719 --> 00:55:33,040
Speaker 2: Yeah, yeah, like this is this is a good one

1061
00:55:33,080 --> 00:55:39,360
Speaker 2: because they've given them shitty technology that can't work, Like

1062
00:55:39,440 --> 00:55:45,040
Speaker 2: you can take it down with a super soaker. You know. God,

1063
00:55:44,040 --> 00:55:47,239
Speaker 2: oh ship, dude, don't fight in the rain. I guess

1064
00:55:47,239 --> 00:55:53,000
Speaker 2: you spread that one too much. Cops are supposed to

1065
00:55:53,120 --> 00:55:57,840
Speaker 2: know about car wash mode anyways. But yeah, like once, like,

1066
00:55:58,080 --> 00:56:00,480
Speaker 2: I'm sure it's not all going to be ineffectual. Elon

1067
00:56:00,600 --> 00:56:02,840
Speaker 2: musk ketamine pipe dreams.

1068
00:56:03,200 --> 00:56:06,799
Speaker 4: Yeah, yeah, we'll see, Hey, Hey, a boy can dream. Though.

1069
00:56:07,600 --> 00:56:09,759
Speaker 2: On the on the other hand, RoboCop is you know,

1070
00:56:10,360 --> 00:56:14,719
Speaker 2: of looking more and more realistic. So yeah, not the

1071
00:56:14,880 --> 00:56:18,239
Speaker 2: cool robocops part, but more the shooting people in the

1072
00:56:18,239 --> 00:56:18,680
Speaker 2: dick part.

1073
00:56:19,160 --> 00:56:19,399
Speaker 4: Yeah.

1074
00:56:19,760 --> 00:56:21,400
Speaker 2: No, I don't think. I don't think they're gonna be

1075
00:56:21,440 --> 00:56:23,880
Speaker 2: good at shooting people in the day. We've seen ice

1076
00:56:24,120 --> 00:56:27,759
Speaker 2: just fire randomly. Yeah, but I think they're going to

1077
00:56:27,800 --> 00:56:31,520
Speaker 2: be Uh, we're going to get the early part and

1078
00:56:31,560 --> 00:56:34,719
Speaker 2: the I'd buy that for a dollar like the bad

1079
00:56:34,800 --> 00:56:37,480
Speaker 2: TV ads right there.

1080
00:56:37,719 --> 00:56:42,720
Speaker 4: Yeah, Blake Wexler, Jake James Jack.

1081
00:56:44,239 --> 00:56:46,120
Speaker 3: Because we're talking about cops, you call him a Jake.

1082
00:56:47,560 --> 00:56:51,960
Speaker 1: Is that a term Jake? I do from No Bit Yeah,

1083
00:56:52,400 --> 00:56:55,200
Speaker 1: a bunch of Jakes. That's like a very hip hop Yeah,

1084
00:56:55,440 --> 00:56:58,839
Speaker 1: Jake's man, no goofs. It's from Jake and the Fat Man.

1085
00:56:58,880 --> 00:57:01,799
Speaker 1: I think is what where that term comes from?

1086
00:57:02,040 --> 00:57:04,279
Speaker 2: Blake Wexler, What a pleasure haveing you on the daily.

1087
00:57:04,400 --> 00:57:06,520
Speaker 2: Like I said, always, where can people find you?

1088
00:57:06,719 --> 00:57:08,440
Speaker 4: Follow you? All that good stuff?

1089
00:57:08,760 --> 00:57:11,040
Speaker 3: Thank you so much for asking. I'm at Blake Wexler

1090
00:57:11,080 --> 00:57:13,359
Speaker 3: and all social media I'm doing. I have a bunch

1091
00:57:13,360 --> 00:57:16,200
Speaker 3: of live shows coming up this Friday. I'm going to

1092
00:57:16,240 --> 00:57:20,360
Speaker 3: be in Boston and Fanuel Hall and then December Semuel Hall,

1093
00:57:20,800 --> 00:57:22,960
Speaker 3: the Annual Hall. And these are all these cities I'm

1094
00:57:23,000 --> 00:57:27,680
Speaker 3: going to be in that are right run. Antifa may

1095
00:57:27,760 --> 00:57:29,880
Speaker 3: not come to any of these. I have a huge

1096
00:57:29,960 --> 00:57:32,680
Speaker 3: Antifa crowd, but right now, just just pass on.

1097
00:57:32,720 --> 00:57:33,800
Speaker 4: It's hot.

1098
00:57:35,120 --> 00:57:40,880
Speaker 1: December seventh, Chicago, and then ninteenth, I'm doing Little Field

1099
00:57:41,040 --> 00:57:44,320
Speaker 1: in Brooklyn. It's the biggest venue I've ever headlined, and

1100
00:57:44,600 --> 00:57:46,560
Speaker 1: first time I've headlined in New York. So if you

1101
00:57:46,600 --> 00:57:50,240
Speaker 1: can make that one on January sixteenth, Little Field in Brooklyn.

1102
00:57:50,840 --> 00:57:56,120
Speaker 2: More like biggest venue I've you've ever headlined. I got

1103
00:57:56,160 --> 00:57:58,400
Speaker 2: so emotional trying to get that joke out.

1104
00:57:58,440 --> 00:58:00,160
Speaker 4: You got a little bit of fun. Thank you, got

1105
00:58:00,160 --> 00:58:00,880
Speaker 4: a little of a klemped.

1106
00:58:01,480 --> 00:58:04,160
Speaker 2: You know, It's just he's all grown up.

1107
00:58:04,560 --> 00:58:05,320
Speaker 4: All growns up.

1108
00:58:05,360 --> 00:58:08,200
Speaker 3: I just want a drum set. Oh, I wanted a

1109
00:58:08,280 --> 00:58:08,760
Speaker 3: drum set.

1110
00:58:10,440 --> 00:58:13,680
Speaker 2: Uh is there a work Amedia that you've been annoying?

1111
00:58:16,000 --> 00:58:16,520
Speaker 4: This is uh.

1112
00:58:17,200 --> 00:58:21,080
Speaker 1: The Prime Mutton is the name of this guy on

1113
00:58:21,600 --> 00:58:27,080
Speaker 1: Instagram and he reviews Guinness across the world and he

1114
00:58:27,280 --> 00:58:29,760
Speaker 1: has and I'm saying this is a compliment. It reminds

1115
00:58:29,760 --> 00:58:33,160
Speaker 1: me almost of great British baking competition where it's so

1116
00:58:33,480 --> 00:58:37,400
Speaker 1: pure and so is that an off brand show? It's

1117
00:58:37,440 --> 00:58:40,600
Speaker 1: not the Great British Did I get something wrong? The

1118
00:58:40,680 --> 00:58:44,880
Speaker 1: Great British Bakeoff? Have some respect, please Great British Bake Off.

1119
00:58:45,280 --> 00:58:49,120
Speaker 1: Is that it's so sincere and like not ironic and

1120
00:58:49,200 --> 00:58:54,360
Speaker 1: like so sweet and positive, where like he sincerely reviews guinnesses,

1121
00:58:54,840 --> 00:58:57,320
Speaker 1: but he's he's not one of these polished influencers. Like

1122
00:58:57,360 --> 00:58:59,600
Speaker 1: he starts all these videos off where why he was

1123
00:58:59,720 --> 00:59:03,320
Speaker 1: late and that transportation wasn't running on Tom. He's not

1124
00:59:03,360 --> 00:59:05,000
Speaker 1: doing it to be funny. He was just is late

1125
00:59:05,480 --> 00:59:10,080
Speaker 1: and he reviews these Guinnesses and from a a range

1126
00:59:10,160 --> 00:59:13,080
Speaker 1: of a creamer to an absolute creamer is how he

1127
00:59:13,160 --> 00:59:17,560
Speaker 1: refers to them. He's great, uh and if you it's

1128
00:59:17,640 --> 00:59:19,360
Speaker 1: just a pure everyone loves him.

1129
00:59:19,360 --> 00:59:19,680
Speaker 4: It's great.

1130
00:59:19,720 --> 00:59:21,480
Speaker 1: So anyway, if you drink Inness, if you don't drink

1131
00:59:21,520 --> 00:59:24,240
Speaker 1: in as, I highly recommend his his page The Prime

1132
00:59:24,320 --> 00:59:25,919
Speaker 1: Mutton and he's a city.

1133
00:59:26,720 --> 00:59:26,880
Speaker 4: Yeah.

1134
00:59:26,880 --> 00:59:29,640
Speaker 2: I think we've think we've witnessed.

1135
00:59:29,280 --> 00:59:31,720
Speaker 1: His work before and thank god, he's wonderful.

1136
00:59:31,920 --> 00:59:33,760
Speaker 2: I know I wouldn't be able to handle lit iphoes

1137
00:59:33,840 --> 00:59:35,320
Speaker 2: just finding out about this for the first time.

1138
00:59:35,760 --> 00:59:37,080
Speaker 1: No no no, no no, you've played.

1139
00:59:36,840 --> 00:59:38,680
Speaker 2: It very cool. No no no no no no no, no, no,

1140
00:59:38,560 --> 00:59:40,640
Speaker 2: no no, you are one of the great. No no no

1141
00:59:40,640 --> 00:59:45,320
Speaker 2: no nohers no. Yeah, I lack the tongue stairs merch doing.

1142
00:59:45,360 --> 00:59:46,440
Speaker 2: No no no no no no.

1143
00:59:46,280 --> 00:59:47,920
Speaker 3: No no no no no no no no no no no.

1144
00:59:48,360 --> 00:59:51,040
Speaker 2: I can do it as mummies.

1145
00:59:53,280 --> 00:59:53,959
Speaker 4: Whole job.

1146
00:59:54,080 --> 00:59:58,080
Speaker 3: Man, you're not You're not a dummy. Used the tongue, man,

1147
00:59:58,160 --> 00:59:59,600
Speaker 3: Let it just hit the top.

1148
01:00:00,040 --> 01:00:00,240
Speaker 4: No no no, no, no.

1149
01:00:01,200 --> 01:00:03,400
Speaker 1: Twista is amazing. No no, no, no, no guy.

1150
01:00:03,720 --> 01:00:04,920
Speaker 4: Yeah, it's pretty fascinating.

1151
01:00:07,160 --> 01:00:09,040
Speaker 2: Miles, where can people find you? Is there a working

1152
01:00:09,120 --> 01:00:10,240
Speaker 2: media you've been enjoying?

1153
01:00:10,320 --> 01:00:13,120
Speaker 4: Yeah, find me everywhere at Miles of Gray. Find me

1154
01:00:13,120 --> 01:00:15,560
Speaker 4: talking about ninety dance on four to twenty Day Fiance.

1155
01:00:17,080 --> 01:00:20,440
Speaker 4: I work at media. I just stumbled upon this Instagram

1156
01:00:20,640 --> 01:00:23,840
Speaker 4: reel ver video whatever the fuck they call it over there.

1157
01:00:24,040 --> 01:00:28,000
Speaker 4: It's from Mama Sita. It's a little girl in Ireland

1158
01:00:28,160 --> 01:00:30,640
Speaker 4: because they opened a Taco Bell in Ireland and it's

1159
01:00:30,720 --> 01:00:33,440
Speaker 4: her trying taco bell for the first time in Ireland.

1160
01:00:33,520 --> 01:00:36,360
Speaker 4: And again, we love Taco Bell and we love Ireland.

1161
01:00:36,400 --> 01:00:37,600
Speaker 4: On the show, don't we folks.

1162
01:00:38,280 --> 01:00:41,040
Speaker 3: So this is hold, let me just play this Taco

1163
01:00:41,120 --> 01:00:42,160
Speaker 3: bell in Ireland.

1164
01:00:42,360 --> 01:00:45,840
Speaker 7: We'll all be We got so many new America followers,

1165
01:00:45,880 --> 01:00:48,240
Speaker 7: So this one's for you, straight from the heart. And

1166
01:00:48,320 --> 01:00:50,240
Speaker 7: you know what, I'm gonna be honest because it's nice

1167
01:00:50,240 --> 01:00:50,760
Speaker 7: to be honest.

1168
01:00:50,880 --> 01:00:53,160
Speaker 4: I here. Okay. So then they're in line. There's a

1169
01:00:53,200 --> 01:00:55,760
Speaker 4: fucking line and she's like wondering. She's like trying to

1170
01:00:55,800 --> 01:00:57,640
Speaker 4: be like, you think they're gonna have bah blast and

1171
01:00:57,720 --> 01:00:58,840
Speaker 4: this line kills me.

1172
01:00:59,000 --> 01:01:05,720
Speaker 7: I'm thinking she can tender chiefs. Excuse me, the tagle

1173
01:01:06,920 --> 01:01:11,240
Speaker 7: I'm trying to blast. I think so because every talk

1174
01:01:11,280 --> 01:01:12,640
Speaker 7: about America's.

1175
01:01:14,240 --> 01:01:19,280
Speaker 4: Americas have the blast better better spoiler alert. She gets

1176
01:01:19,320 --> 01:01:21,480
Speaker 4: to the soda found they don't have fucking Bahja Blast,

1177
01:01:21,520 --> 01:01:23,520
Speaker 4: and I think it's a nice tragedy. So I'm so sorry.

1178
01:01:23,600 --> 01:01:25,200
Speaker 4: I'm so sorry to your child, poor kid.

1179
01:01:25,680 --> 01:01:31,040
Speaker 2: I'm so sorry. Yeah sorry, sorry, up, deferred, deferred, let

1180
01:01:31,160 --> 01:01:33,960
Speaker 2: them down. She does end the video by fighting her dah.

1181
01:01:34,360 --> 01:01:41,640
Speaker 2: So she does, and I can say that and I

1182
01:01:42,720 --> 01:01:47,960
Speaker 2: from use your whole chest without one.

1183
01:01:49,000 --> 01:01:53,280
Speaker 4: Yeah, right up, my alley anti irish rais the joke

1184
01:01:53,360 --> 01:01:54,080
Speaker 4: that doesn't.

1185
01:01:57,920 --> 01:01:58,240
Speaker 5: Does.

1186
01:01:59,280 --> 01:02:04,360
Speaker 4: She does her da shout out to that lead who

1187
01:02:04,560 --> 01:02:08,040
Speaker 4: would always I just saw him on Friday and I

1188
01:02:08,240 --> 01:02:10,000
Speaker 4: was like, I was like, dude, the fight me do

1189
01:02:10,160 --> 01:02:12,120
Speaker 4: thing came back up and he's like what he was like,

1190
01:02:12,280 --> 01:02:14,160
Speaker 4: Jack's kid is saying it now. He's like, oh, no,

1191
01:02:14,400 --> 01:02:18,120
Speaker 4: I'm sorry. I was like, it's Jack's fault. Yeah, it is.

1192
01:02:18,360 --> 01:02:21,400
Speaker 2: It's one of my favorite things that anyone's ever said.

1193
01:02:22,280 --> 01:02:25,440
Speaker 2: You can find me on Twitter at Jack Underscore O'Brien

1194
01:02:25,880 --> 01:02:29,240
Speaker 2: on Blue Sky at Jack Obie the Number One. A

1195
01:02:29,280 --> 01:02:33,080
Speaker 2: couple of weeks of media I've been enjoying. Eli Juden tweeted,

1196
01:02:33,240 --> 01:02:36,480
Speaker 2: can't tell if my antidepressants aren't working or if they

1197
01:02:36,640 --> 01:02:39,840
Speaker 2: just weren't built for this, like Zoloft was introduced in

1198
01:02:39,920 --> 01:02:42,840
Speaker 2: the nineties. I barely needed to work then if you

1199
01:02:42,920 --> 01:02:44,720
Speaker 2: got said, you could just buy a house.

1200
01:02:48,200 --> 01:02:49,560
Speaker 4: It's not built for this.

1201
01:02:49,880 --> 01:02:51,439
Speaker 2: It's not built for this shit.

1202
01:02:52,840 --> 01:02:53,440
Speaker 5: That's great.

1203
01:02:54,080 --> 01:02:56,440
Speaker 2: You can find us on Twitter and Blue Sky at

1204
01:02:56,600 --> 01:02:59,640
Speaker 2: Daily Zeitgeist. We're at the Daily zeit Geist. On Instagram.

1205
01:03:00,040 --> 01:03:02,040
Speaker 2: You can go to the description of this episode wherever

1206
01:03:02,040 --> 01:03:03,560
Speaker 2: you're listening to it, and they're at the bottom you

1207
01:03:03,680 --> 01:03:08,080
Speaker 2: will find the footnotes, which is where we link off

1208
01:03:08,120 --> 01:03:10,200
Speaker 2: to the information that we talked about in today's episode.

1209
01:03:10,360 --> 01:03:12,040
Speaker 2: We also link off to a song that we think

1210
01:03:12,080 --> 01:03:15,080
Speaker 2: you might enjoy. Hey, Miles, is there a song you

1211
01:03:15,160 --> 01:03:16,280
Speaker 2: think that people might enjoy?

1212
01:03:16,840 --> 01:03:20,920
Speaker 4: Yeah, it's funny because all this Kangaroo talk it. There

1213
01:03:21,040 --> 01:03:26,120
Speaker 4: is a Japanese like eighties fusion band called Kangaroo, and

1214
01:03:26,280 --> 01:03:28,320
Speaker 4: I was like, oh, we should do a song by that,

1215
01:03:28,440 --> 01:03:30,720
Speaker 4: and if you like sort of I know on TikTok

1216
01:03:30,760 --> 01:03:32,880
Speaker 4: and shit, a lot of people love like eighties seventies

1217
01:03:32,960 --> 01:03:35,480
Speaker 4: Japanese like city pop and fusion music from back then.

1218
01:03:36,120 --> 01:03:39,880
Speaker 4: This song is called Sunshine Bright on Me parenthetical cub

1219
01:03:40,240 --> 01:03:44,439
Speaker 4: and it's by Kangaroo, the Japanese band from the from

1220
01:03:44,480 --> 01:03:47,520
Speaker 4: the from Yesteryear. So put this in your ears, but

1221
01:03:47,680 --> 01:03:54,280
Speaker 4: shout out the marsupials and they're stinky pouches. The Daily's

1222
01:03:54,320 --> 01:03:55,760
Speaker 4: Like Gus is the production of iHeartRadio.

1223
01:03:55,800 --> 01:03:58,520
Speaker 2: For more podcasts from My Heart Radio, visit the iHeartRadio app,

1224
01:03:58,560 --> 01:04:01,520
Speaker 2: Apple podcast or where you listen to your favorite shows.

1225
01:04:01,680 --> 01:04:03,320
Speaker 2: That is going to do it for us this morning.

1226
01:04:03,560 --> 01:04:07,400
Speaker 2: We are back this afternoon to tell you what is trending.

1227
01:04:08,000 --> 01:04:11,160
Speaker 2: We'll have an election update at that point, so tune

1228
01:04:11,200 --> 01:04:13,840
Speaker 2: back in then and we'll talk to y'all in a

1229
01:04:13,880 --> 01:04:15,080
Speaker 2: bit Bye Bye.

1230
01:04:16,080 --> 01:04:18,800
Speaker 4: The Daily Zeite Guys is executive produced by Catherine Law,

1231
01:04:19,200 --> 01:04:23,120
Speaker 4: co produced by Bee Wag, co produced by Victor Wright,

1232
01:04:23,560 --> 01:04:27,480
Speaker 4: co written by J m mcnapp, edited and engineered by

1233
01:04:27,680 --> 01:04:28,280
Speaker 4: Justin Conner,