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

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

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

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

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Speaker 1: thrilled to be joined by a tech journalist writer behind

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Speaker 1: the newsletter Where's Your Head At. His new podcast with

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Speaker 1: cool Zone Media Better Offline is a must listen.

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Speaker 2: YEA.

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Speaker 1: Also, how I found out about that New York magazine

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Speaker 1: The Cut personal finance expert being scammed to the tune

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Speaker 1: of fifty thousand dollars cash in a shoe box? I

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Speaker 1: think how a lot of people found out about it.

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Speaker 3: It's exit dry.

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Speaker 4: Where it's from Rudy fantastic album.

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Speaker 5: Yeah, it's Rudy right with the ape like yeah, yeah, yeah,

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Speaker 5: what great song?

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Speaker 3: Great?

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Speaker 5: Yeah yeah, all right, Well we're starting on a high note, ed,

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Speaker 5: I mean next time, yeah, we will give you ample

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Speaker 5: time to prepare an AKA that either has to do

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Speaker 5: a fecal matter or circle jerking with the Beatles or

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Speaker 5: something like that, or something of your own choosing.

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Speaker 4: You can start preparing now just saying that, what can

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Speaker 4: I put the Bush's glycerin.

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Speaker 1: Yeah. Sometimes they just like, doesn't that song say got

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Speaker 1: a Machine head? Yeah, He's just like it's a cool title,

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Speaker 1: and I'm just gonna be like, got a machine It

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Speaker 1: doesn't really then the rest Green to the Red right,

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Speaker 1: Green to Red?

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Speaker 4: Yeah, not exactly Shakespeare, No, not quite.

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Speaker 1: They would like come up with a cool word and

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Speaker 1: then just be like, I've got one of those.

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Speaker 4: They're not as good as the Hives though. The Hives

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Speaker 4: are just complete nonsense that My favorite vers Got a

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Speaker 4: Smoke and a Bone, Got a Gong wowed to the

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Speaker 4: album recently. It was like this is awful lyrically.

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Speaker 1: Yeah.

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Speaker 4: This I'm like, I feel I can get to get

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Speaker 4: concussion listening to it. We just want to get listening

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Speaker 4: to it.

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Speaker 1: Yeah, that's what happens is I feel like with the

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Speaker 1: bush Guy it's a little bits.

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Speaker 3: Yeah.

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Speaker 1: Gavin Rossdale is a little bit of the bubble, like

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Speaker 1: the thirty Rock episode where John Hamm is a doctor

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Speaker 1: who's just so good looking that people are just like,

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Speaker 1: damn man, you are the best doctor ever, and he

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Speaker 1: like doesn't know what, he doesn't know ship He's like, hey,

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Speaker 1: here try my special recipe orange chicken, and it's just

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Speaker 1: chicken cooked and orange gatorade. Like, I feel like Gavin

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Speaker 1: Rossdale is just so stunningly you think he has Oh yeah,

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Speaker 1: I think he's just a good looking guy.

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Speaker 5: Gavin Rossdale wasn't he? I mean, I mean people were

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Speaker 5: definitely over him in the US. In the US and

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Speaker 5: when First Yeah came out, for sure, I mean he.

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Speaker 4: Looks like a slightly upgraded Jeremy Clarkson.

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Speaker 1: Come on, wow, I don't know. I think I get.

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Speaker 1: I gave him a lot of credit once he got

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Speaker 1: with Glent Stefani.

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Speaker 4: You know, he went with Oh so he is the

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Speaker 4: reason why they haven't made a good album since retired

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Speaker 4: of Saturn.

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Speaker 1: That's right, yeah, exactly, exactly. Anyways, this is an album

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Speaker 1: talk yeah, no, Ed, How how are you doing? Where

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Speaker 1: are you coming to us from.

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Speaker 4: Las Vegas, Nevada?

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Speaker 1: Right?

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Speaker 4: Yeah, yeah, beautiful Las Vegas, Nevada.

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Speaker 1: How long have you lived in Vegas?

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Speaker 4: Three years?

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Speaker 1: Okay? Where'd you live before that?

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Speaker 4: California? It was in Oakland?

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Speaker 5: Oh okay, Wow you went from the East Base. Wow

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Speaker 5: you really followed the Raiders. Oh yeah, well I didn't

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Speaker 5: do it for that reason, you know, would you look

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Speaker 5: at the product on the on the Field. I love

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Speaker 5: it here though. Yeah, you like to go visit the

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Speaker 5: Mortal Flame of Al Davis and right in front of it.

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Speaker 4: The Ratius Will to Win.

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Speaker 1: Yeah. Yeah.

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Speaker 4: When you go there and do the tour, they all

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Speaker 4: say that' stuff to you. It's all a propaganda. It's

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Speaker 4: just like, you can't be you can't be saying that

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Speaker 4: shit anymore. When Maurice Jones Drew was like an exciting

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Speaker 4: guy on your team, it means things have been bad

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Speaker 4: for a while.

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Speaker 1: Yeah, yeah, man, MJD. What is it like living in Vegas?

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Speaker 1: Are you hitting any of the shows? Is that what

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Speaker 1: I imagined to be? Just, you know, rat pack shit

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Speaker 1: every night?

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Speaker 4: You and yeah, yeah no. So I'm a huge homebody.

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Speaker 4: I don't like going out, so I am at home

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Speaker 4: most of the time. But when I do go out,

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Speaker 4: I like to be very precise. I don't like to

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Speaker 4: go out for an evening. I want to go out,

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Speaker 4: have dinner, have drinks, come home. Vegas is so convenient.

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Speaker 4: You can get pretty much anywhere here in twenty minutes.

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Speaker 4: This is great if you're I guess I'm addicted to

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Speaker 4: staying at home and drinking diet cokes, which is pretty

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Speaker 4: easy to manage. But if you have another addiction, Vegas

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Speaker 4: will find a way to bring it to you.

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Speaker 1: Yeah, or bring you to it.

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Speaker 4: Yeah, And so this place drives me people insane, but

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Speaker 4: it has one of the best food cultures I've ever seen.

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Speaker 1: Right, it's really cool.

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Speaker 4: If you are in control of yourself, it's amazing you

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Speaker 4: to death.

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Speaker 1: Yeah. The economy is like based on so like people

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Speaker 1: who are in control of themselves get to like have

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Speaker 1: better times than they would otherwise, because yes, the economy

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Speaker 1: is fueled by all these people with very difficult problems.

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Speaker 4: But also it's become a lot more respectable, Like it's

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Speaker 4: a lot more like going out to nice restaurants and

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Speaker 4: shows and music. Now it used to be when it

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Speaker 4: was going out and making a mistake or five.

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Speaker 1: Yeah, yeah, yeah, yeah, yeah.

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Speaker 4: Now it's less that it's the strip's much nicer. Fremont

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Speaker 4: Streets horrible though, people need to stop saying, God, it's

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Speaker 4: horrible that it's also really expensive now, Yeah, very strange place.

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Speaker 1: So it was everywhere it turns out, yeah, but every Yeah,

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Speaker 1: last time I was in Vegas, I had the thought

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Speaker 1: that this would be a good place to take my kids.

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Speaker 1: So yeah, which dies really been the thought I had

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Speaker 1: at the Luxor and you're like, oh, yeah, you go

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Speaker 1: see bodies. Yeah, yeah, exactly. This sharks like there's a

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Speaker 1: whole thing that's just there's a whole like thread of

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Speaker 1: culture and content that is like just all woven throughout

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Speaker 1: the strip that is like aimed at five to twelve

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Speaker 1: year old boys. There are times and Michael Jackson, which

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Speaker 1: they're really into.

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Speaker 4: Well, I'll be I don't want to put him in

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Speaker 4: the sentences boys, That's true.

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Speaker 5: There's I remember the time when my mom would go

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Speaker 5: with her friends, just like they would go gamble. She

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Speaker 5: would give me twenty dollars or something and be like,

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Speaker 5: I'll be back in a few hours. Yeah, And I

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Speaker 5: was like, yeah, I can make this work and I

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Speaker 5: combat or something.

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Speaker 1: Yeah, exactly. Zaren, Elizabeth, what is something from your search

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Speaker 1: history that is revealing about who you are? Or what

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Speaker 1: is one of the most recent things that you have

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Speaker 1: screencapped that is revealing about who you are?

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Speaker 6: Elizabeth Ladies, First, oh, thank you, sir. I was just

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Speaker 6: looking and I was doing an image search yesterday psychic Horses,

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Speaker 6: and that was for social media for the episode that

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Speaker 6: dropped today from US. And then you.

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Speaker 1: Know, I have.

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Speaker 6: I was looking at my search history and it's just

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Speaker 6: a lot of like misspelled things or I go to

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Speaker 6: hit the space bar and I hit period instead. So

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Speaker 6: it's like, you know, BRIGATONI dot pasta dot recipe.

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Speaker 1: Yeah.

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Speaker 6: Yeah, So anyway, that's that's not thrilling, Yeah, not particularly thrilling.

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Speaker 6: But psychic horses.

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Speaker 1: Psychic horses are a common scam right.

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Speaker 6: Oh my god, they're everywhere. I can't leave the house without,

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Speaker 6: you know, every day sign front.

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Speaker 3: You know, you never hear about like a psychic beaver.

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Speaker 3: You don't hear about a prognosticating owl. No, it's always horses.

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Speaker 1: Yeah, And why don't we give dogs because dogs? Also, Like,

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Speaker 1: isn't the way that the scam is pulled off a

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Speaker 1: lot of the time communication between like unspoken communication between

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Speaker 1: owner between human and horse. Yeah, totally, So it's called

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Speaker 1: the clever Hans effect. Actually yeah, And like, so why

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Speaker 1: aren't dogs being used in this way? Is it because

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Speaker 1: we don't like, they don't have a mystique about them,

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Speaker 1: so we're just like dogs are fucking dumb. Oh you

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Speaker 1: think the dogs are rejected?

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Speaker 6: I can't do this right, we're taking that lady's life

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Speaker 6: savings now, I think.

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Speaker 3: Dogs are jocks. That's why they're in the AKC. They

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Speaker 3: just want to compete. They don't want to like do

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Speaker 3: spelling contests. They're just not not into that. Man, can

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Speaker 3: I run? I want to, I can jump over.

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Speaker 6: They can't be depended on to participate.

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Speaker 5: I think also, there's probably like a power of being like,

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Speaker 5: hold on, let me get next to the horse, because

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Speaker 5: it's like a animal that you're like, uh huh okay,

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Speaker 5: like I think visually seeing, like somebody like embrace the horse,

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Speaker 5: like no, man, the horse is fucking speiting. There's something

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Speaker 5: like inherently mystical about horses that I think impresses people,

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Speaker 5: impresses me. I've lost a lot.

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Speaker 1: Of money to psychic coarse scams. So I'm just wondering

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Speaker 1: where this is. Where this starts in me, Yeah, right

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Speaker 1: on the cer.

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Speaker 3: We also we measure power by horses. I mean, clearly

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Speaker 3: we understand the poll and the compulsion of a horse.

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Speaker 1: So yeah, I mean yeah, I mean they are tools

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Speaker 1: of colonization too. So they've got a storied history. Is

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Speaker 1: that true in the psychic community too, Are they like

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Speaker 1: this psychic has like forty five horse power?

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Speaker 5: Psychic So this thing's got a fucking V twelve up there, man.

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Speaker 1: The top of their head. You knows, how about USERM

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Speaker 1: what's something from your search history or okay?

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Speaker 3: So I was looking and I had a lot of

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Speaker 3: stuff from work, and I'm not going to tell you

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Speaker 3: my work stuff because it's all like, oh, of course

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Speaker 3: you'd be looking at bb king. But the one thing

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Speaker 3: that I did look up on my own was foreign

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Speaker 3: accent syndrome. You're familiar with foreign accent.

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Speaker 1: Syndrome, right, my favorite syndrome.

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Speaker 3: Yeah, it strikes dozens of people every century. It's uh,

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Speaker 3: it's okay. So I looked it up just because I wanted,

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Speaker 3: you know, to make a joke with Elizabeth about it,

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Speaker 3: because I just happened to I would I don't know

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Speaker 3: the best way I put this this that would be

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Speaker 3: one occurrence. I'd be like, you know what, they'd be

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Speaker 3: kind of cool to get, you know, I'll be like,

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Speaker 3: oh man, it'd be really funny to me. But then

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Speaker 3: I realized it would only be funny that one day,

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Speaker 3: the first day it happened. After that, you're like, please, doctor,

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Speaker 3: how do I get rid of this? So I was looking,

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Speaker 3: how do they get rid of foreign accent syndrome. The

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Speaker 3: only treatment is learned to sing. That's what they tell

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Speaker 3: you because hopefully, because you know, like when you listen

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Speaker 3: to someone who sings like the Beatles, it doesn't sound

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Speaker 3: like an English accent as much as it sounds like singing.

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Speaker 1: Who develop an English accent when they totally yes, exactly

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Speaker 1: see you.

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Speaker 3: They would be able to get rid of their you know,

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Speaker 3: fake English accent by singing in American accents. They'd be like, okay,

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Speaker 3: I'm back. But you know who had this apparently for

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Speaker 3: a little while, George Michael, the singer. So he was

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Speaker 3: a singer and he was able to get rid of

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Speaker 3: it really quickly. He had West Country accent. It's the

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Speaker 3: English accent. I don't know English accents well enough. I

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Speaker 3: wouldn't be able to say, ok oh yeah that's not

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Speaker 3: an up.

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Speaker 6: Yeah, but that's not the big like step away from

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Speaker 6: most of these people.

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Speaker 3: Most of them, it's like a whole continent.

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Speaker 6: It's usually like some English lady who gets like a

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Speaker 6: really offensive Chinese that's the class.

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Speaker 3: I remember that work whole well.

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Speaker 1: Yeah, they all show on her.

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Speaker 6: I was like, for real, like really it sounds mad racist.

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Speaker 5: You're like, come on, lady, like you, like you're just

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Speaker 5: a bad comic, like an extended bit.

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Speaker 6: George Michael goes like fifty miles away, yes.

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Speaker 3: Exactly, okay, yeah, but also it normally happens to women

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Speaker 3: at like eighty seven percent to men's thirteen percent, So

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Speaker 3: it's wow. Yeah, it's it's based on the brain, the

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Speaker 3: broken region of the brain. So when a person has

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Speaker 3: a lesion or a stroke, all a sudden, this happens

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Speaker 3: and then they can't do anything about it.

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Speaker 6: So you could hit me in a particular place on

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Speaker 6: my head, and we can try and make this happen.

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Speaker 3: Much more likely for you. No matter how many hit

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Speaker 3: me in the head, it's probably unlikely.

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Speaker 1: All right, Roulette, go get a golf club. The next

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Speaker 1: one is it usually based on something they have experience with,

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Speaker 1: Like does the person who knows developed No, it's just

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Speaker 1: like an accent they saw on TV. They a Chinese accent.

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Speaker 1: Not good?

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Speaker 3: Yeah, yeah, well sometimes it's it's not even that they

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Speaker 3: know the accent, it sounds like the accent. Like there

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Speaker 3: was this Norwegian woman she had it where her accent

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Speaker 3: suddenly sounded German to everybody, so they couldn't stand it

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Speaker 3: and they made her leave town. They exiled her because

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Speaker 3: her accent sounded German. So it wasn't. It was like

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Speaker 3: so crazy it just her accents no longer sounded Norwegian.

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Speaker 3: They're like, oh, you sound like a Norwegian German speaking Norwegian.

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Speaker 1: That was just a couple of weeks ago, right, the

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Speaker 1: ones that was in January. What what something you think

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Speaker 1: is underrated right now?

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Speaker 7: Women's rights? I thought we had women's rights locked.

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Speaker 8: In, like when I was on the cump up in

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Speaker 8: my twenties or early thirties, I was like, we are

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Speaker 8: really crushing it on women's rights right now. No, I

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Speaker 8: didn't know. I didn't know that this could all get

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Speaker 8: taken away so fast. We got we're fighting for abortions,

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Speaker 8: and we're fighting for uh we got no paid maternity leave,

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Speaker 8: we have no affordable childcare. I mean we're people are

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Speaker 8: saying IVF embryos are kids now.

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Speaker 7: Yeah, it's I didn't realize.

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Speaker 8: And then you've got all the microaggressions being a mom

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Speaker 8: right now, traveling with my kids still, all the microroggressions

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Speaker 8: like what's his mom doing with her two kids out

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Speaker 8: in the airport? Get your get your trash ass back

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Speaker 8: home and cook and clean and silence where we don't

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Speaker 8: have to see. It's like, it's all the microaggressions, plus

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Speaker 8: the expectations that you have to be like beautiful and

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Speaker 8: effervescent and well dressed and you get no child care

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Speaker 8: and you get low wages. I'm just like, come on,

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Speaker 8: I thought we were I thought we were past this.

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Speaker 8: Now we're just heading back.

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Speaker 1: Yeah in America.

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Speaker 5: Yeah, yeah, we're just talking to about how Joe Biden

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Speaker 5: also like just can't straight up be like yeah, man,

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Speaker 5: like we're going to figure this out, rather than being like,

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Speaker 5: you know, I'm not. We talked about this two episodes ago.

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Speaker 5: He's like, I've never been supportive. You know, it's my body.

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Speaker 5: I can do what I want with it.

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Speaker 1: It's like, don't say yeah, it's actually the Lord's.

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Speaker 8: It's so interesting because if we were if we were

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Speaker 8: forcing Joe Biden to like donate part of his liver

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Speaker 8: to save a life, which would basically be the same

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Speaker 8: thing using somebody's body to keep another person alive, he

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Speaker 8: would be like, oh, no, you're not coming for this liver.

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Speaker 7: Force me into a liver surgery. No no, no, no,

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Speaker 7: have you seen the scar? I'm not getting a scar?

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Speaker 1: No, no, no, I'm going to the beach. I'm going

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Speaker 1: to the beach this summer.

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Speaker 7: That's right.

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Speaker 1: Yeah, you also have a Sky on Paw Patrol.

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Speaker 8: Oh man, this is this is a deep cut. I

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Speaker 8: don't know if you guys are with the Pop Patrol.

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Speaker 8: Maybe you are because you have kids. Man, all right,

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Speaker 8: Paw Patrol, you got it all right. So I don't

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Speaker 8: know why I've been watching so much Pow Patrol with

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Speaker 8: my stun. But Sky, I think is like one of

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Speaker 8: the only the only or one of the only girl characters,

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Speaker 8: but the only one there.

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Speaker 7: Maybe there's one more.

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Speaker 1: Yeah, I think it's like a smurfet type division, like

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Speaker 1: it's one girl or like maybe maybe another.

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Speaker 8: One, that's right. But Chase is the main dog or whatever.

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Speaker 8: He always he kind of gets all the action. But

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Speaker 8: he is always like heetering out on the courage, like

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Speaker 8: he's like, I'm gonna go save it. Oh no, I can't.

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Speaker 8: And then Sky's like, I got it, you know, let

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Speaker 8: me go up there.

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Speaker 7: And save the day.

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Speaker 8: Sky is always handling business. She has no fear, she

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Speaker 8: has no excuses, and chases up there, getting all the

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Speaker 8: all the action and then they gotta then they gotta

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Speaker 8: make him feel better. Like, that's okay, Chase. We all

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Speaker 8: get scared. It's like Sky doesn't get scared. Guy's out

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Speaker 8: there in the airplane saving the day. I'm just like, man,

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Speaker 8: not even Sky can get the get the you know,

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Speaker 8: the accolades that she deserves. It's hard for me to watch.

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Speaker 9: I'm like, guy, it's the cop that's fuck does include Chase.

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Speaker 9: But yeah, we have established in this house we do

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Speaker 9: believe the cap.

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Speaker 1: Is Twitter, it's not X and a cab does include Chase.

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Speaker 1: Those are the two things on our yard sign day.

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Speaker 5: Oh and also meta Facebook is we will never call

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Speaker 5: meta our Facebook meta.

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Speaker 1: To be fair, nobody else will either. Yeah, yes for sure.

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Speaker 1: Also just from like a strategic standpoint, like Sky is

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Speaker 1: your your like problem solving group has a fucking air force,

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Speaker 1: like it has a clumsy a clumsy fireman is like

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Speaker 1: one of the dogs, Chase, who's just yeah, a cowardly

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Speaker 1: police officer. So just a police officer, rust tool, Rubble's

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Speaker 1: got tools. But then they have air force like that

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Speaker 1: would be that is your best weapon. That is that

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Speaker 1: is the leader of your pack, is the one who

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Speaker 1: can fly, who can control the skies. Yes, but yeah,

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Speaker 1: they they underrate because of women's rights.

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Speaker 7: You know, that's what I'm saying.

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Speaker 5: Come on off this, I think, man, Yeah, get your

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Speaker 5: son off that paw patrol you know what I mean.

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Speaker 5: Wen't need that copaganda, you know. Put him onto something new.

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Speaker 1: Yeah, it really is.

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Speaker 8: And his and his little buddy. What's the what's the

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Speaker 8: boy's name? I was like, man, you know what your

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Speaker 8: little buddies. It's a it's a bad situation.

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Speaker 1: Yeah that I always yeah, I always want to call

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Speaker 1: him Chase, but he's not chased. But yeah, there's like

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Speaker 1: a human twelve year old boy who is the leader,

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Speaker 1: and I do not trust that guy. Is that boy white? Yeah?

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Speaker 1: Oh hell no, bro, Yeah.

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Speaker 5: He's he's the one pulling all the strings getting the

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Speaker 5: cops to do things. Okay, well maybe that is good

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Speaker 5: for a child to see it, to be like, no,

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Speaker 5: this is actually this give you an idea, you know

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Speaker 5: what I mean, how how shit works?

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Speaker 7: Yeah, he runs like the call center or something.

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Speaker 1: Yeah, it's like nine children. Yeah, it's like the child

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Speaker 1: labor in this show. He's got a fucking job. The

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Speaker 1: mayor is a woman of color and is a bumbling fool.

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Speaker 8: Oh no, but the mayor in the movie is like

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Speaker 8: a white guy with the top hat who says things

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Speaker 8: like an unqualified politician, what's the worse that could happen?

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Speaker 1: Oh wow, Oh really that's where they went.

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Speaker 8: Oh yeah, that's where they went. Let's getting political in

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Speaker 8: the in the in the in the Mighty Pups movie.

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Speaker 1: Yeah, I see, I missed the movie. Thank god we

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Speaker 1: had aged out by that time.

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Speaker 7: Catch on Prime.

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Speaker 1: What is What's something? And and that is also Yeah,

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Speaker 1: you're also here to promote the Pup Patrol movie an

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Speaker 1: addition to your.

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Speaker 7: All the sale.

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Speaker 1: Just go through my affiliate link and that would be great. Thanks.

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Speaker 1: What is what something? You think is overrated?

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Speaker 2: High heels one hundred.

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Speaker 1: Over rated?

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Speaker 2: Don't want to wear them, don't want to think about them,

390
00:18:56,440 --> 00:19:00,520
Speaker 2: don't want to see them my feet. Like one point,

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Speaker 2: I had all these high heels. I just I threw

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Speaker 2: them away and it was so fun. It was like

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Speaker 2: it was like I was like, oh, this is the

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Speaker 2: time when I actually want to, you know, burn the trash.

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Speaker 2: It was. It was it really high heels. It's too much,

396
00:19:15,880 --> 00:19:17,160
Speaker 2: it's too much, so overrated.

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Speaker 5: Did you snap the heel off the shoe like like

398
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Speaker 5: a wishbone in the back of liberation.

399
00:19:22,080 --> 00:19:24,720
Speaker 1: You're like, ah, like give me enough care.

400
00:19:25,400 --> 00:19:31,159
Speaker 2: That sounds like it would be a wonderful sense of release. Yeah,

401
00:19:31,760 --> 00:19:32,640
Speaker 2: maybe next time.

402
00:19:33,200 --> 00:19:35,280
Speaker 1: What are you wearing now? What's what's your what's your

403
00:19:35,280 --> 00:19:36,160
Speaker 1: foot game? Like?

404
00:19:36,160 --> 00:19:39,600
Speaker 2: Like now I like fancy sneakers. Yeah, I'm into the

405
00:19:39,720 --> 00:19:43,359
Speaker 2: I'm into the fancy sneakers, especially you know, on stage whatever,

406
00:19:43,400 --> 00:19:46,639
Speaker 2: and then boots. That's it, some fancy sneakers.

407
00:19:47,359 --> 00:19:50,439
Speaker 1: Okay, boots. I was talking to somebody who is like

408
00:19:50,440 --> 00:19:54,840
Speaker 1: a real like foot like footwear snob in a way

409
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Speaker 1: that I hadn't encountered, where he was like, well, see,

410
00:19:57,160 --> 00:19:59,560
Speaker 1: the thing is with you. With most kids' shoes, the

411
00:19:59,640 --> 00:20:03,879
Speaker 1: toe is too narrow. You need to let their toes

412
00:20:03,880 --> 00:20:06,840
Speaker 1: spread out, and like most of our shoes, you're like

413
00:20:06,960 --> 00:20:10,080
Speaker 1: walking in a pillow. You can't like grip the ground.

414
00:20:10,160 --> 00:20:12,480
Speaker 1: You need like shoes that have like barely any that

415
00:20:12,600 --> 00:20:15,440
Speaker 1: make you feel like you're walking barefoot. And it all

416
00:20:15,480 --> 00:20:17,440
Speaker 1: made sense to me. Sounds like a lot of work.

417
00:20:17,640 --> 00:20:19,320
Speaker 2: Is that the kind of person who wants you to

418
00:20:19,359 --> 00:20:22,159
Speaker 2: wear the toes that like the shoes that are like

419
00:20:22,200 --> 00:20:22,720
Speaker 2: toe yeah?

420
00:20:22,880 --> 00:20:25,320
Speaker 1: Total, He did not, And I asked him a number

421
00:20:25,359 --> 00:20:28,120
Speaker 1: of times. I was like, but you're trying to get

422
00:20:28,119 --> 00:20:30,440
Speaker 1: me to wear those two toe shoes. Right, you're part

423
00:20:30,440 --> 00:20:34,560
Speaker 1: of that cult that has the particulated toes at the

424
00:20:34,640 --> 00:20:37,399
Speaker 1: end of the at the end of the shoe. It's

425
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Speaker 1: but I truly, based on everything he was saying, I

426
00:20:43,560 --> 00:20:48,600
Speaker 1: can't imagine a worse thing for a human foot than

427
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Speaker 1: fucking high heels. Unbelievable. Shouldn't be allowed.

428
00:20:53,440 --> 00:20:55,040
Speaker 5: This is I don't know if you see this. This

429
00:20:55,119 --> 00:20:57,040
Speaker 5: is a video my friend sent me when they went

430
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Speaker 5: to a parent teacher conference of another parent who had

431
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Speaker 5: other toe shoes.

432
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Speaker 1: Wow. That's real.

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00:21:03,560 --> 00:21:05,760
Speaker 5: Wow those are And I was like, they look like

434
00:21:05,760 --> 00:21:07,679
Speaker 5: if Darth Vader was wearing those toe shoes.

435
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Speaker 1: Like the of the.

436
00:21:09,200 --> 00:21:12,000
Speaker 2: Shoe, yeah, I mean it looks like a costume. It

437
00:21:12,080 --> 00:21:14,600
Speaker 2: looks like a looks like it's like.

438
00:21:14,560 --> 00:21:21,240
Speaker 1: A Christian Bales batman like became like dropped LSD and

439
00:21:21,359 --> 00:21:26,480
Speaker 1: like moved, yeah, became skin basically. Yeah.

440
00:21:26,520 --> 00:21:29,239
Speaker 5: Well, you know, I like being barefoot, so like I'm

441
00:21:29,280 --> 00:21:31,760
Speaker 5: not like against the idea of like something that mimics that,

442
00:21:31,880 --> 00:21:33,600
Speaker 5: but part of me is like I'll just be barefoot,

443
00:21:33,760 --> 00:21:36,320
Speaker 5: you know, like I do a lot of barefoot, like

444
00:21:36,400 --> 00:21:38,560
Speaker 5: around the house or just like if I have to

445
00:21:38,560 --> 00:21:40,280
Speaker 5: go up the street or something I'm not I'll go

446
00:21:40,320 --> 00:21:41,680
Speaker 5: to the mailbox and bare feet.

447
00:21:42,080 --> 00:21:46,760
Speaker 2: Really, I mean yeah, so there's there's in your neighborhood.

448
00:21:46,880 --> 00:21:48,840
Speaker 5: There's no I know how to I know how to

449
00:21:48,880 --> 00:21:51,760
Speaker 5: dodge it. Okay, I'm nimble, I'm spry, you know, I

450
00:21:51,800 --> 00:21:53,480
Speaker 5: can do all. I can dance around it. But like

451
00:21:53,560 --> 00:21:56,199
Speaker 5: as a kid growing up, like in l A, I

452
00:21:56,280 --> 00:21:58,840
Speaker 5: just was always barefoot, especially in the summer, so like

453
00:21:58,880 --> 00:22:02,439
Speaker 5: the blacktop, like my feet like just became accustomed to

454
00:22:02,480 --> 00:22:05,520
Speaker 5: summer asphalt barefoot. And I kind of take that now

455
00:22:05,520 --> 00:22:08,280
Speaker 5: that's the point of pride. Although the bottoms of my

456
00:22:08,320 --> 00:22:11,840
Speaker 5: feet look terrible. They look like flintstone ships.

457
00:22:11,920 --> 00:22:16,879
Speaker 1: But whatever flintstone ships. Yeah, well, I mean like you

458
00:22:16,920 --> 00:22:20,040
Speaker 1: know the ships. Oh yeah, yeah, they're not there. But

459
00:22:20,160 --> 00:22:22,040
Speaker 1: there was a part of the flintstones that my brain

460
00:22:22,119 --> 00:22:28,480
Speaker 1: had blocked out. Oh no, but you're just saying they're

461
00:22:28,560 --> 00:22:30,280
Speaker 1: like the skin on the bottom of your feet is

462
00:22:30,320 --> 00:22:33,600
Speaker 1: like three inches oh yeah, yeah, yeah yeah yeah.

463
00:22:33,640 --> 00:22:36,600
Speaker 5: And anytime, like I've I've gone to like I remember

464
00:22:36,600 --> 00:22:38,320
Speaker 5: I got like a pettic here once when I was

465
00:22:38,320 --> 00:22:40,600
Speaker 5: working on a campaign with all the other campaign people,

466
00:22:40,640 --> 00:22:42,600
Speaker 5: like it was like right after election. It was on

467
00:22:42,720 --> 00:22:45,240
Speaker 5: election they were like, all right, all work's done, let's

468
00:22:45,320 --> 00:22:47,280
Speaker 5: just we can that's to treat yourself.

469
00:22:47,359 --> 00:22:48,159
Speaker 1: Yeah, yeah, it was.

470
00:22:48,200 --> 00:22:50,040
Speaker 5: It was cool because I'd never done it before, and

471
00:22:50,080 --> 00:22:51,159
Speaker 5: like all these people, I was.

472
00:22:51,400 --> 00:22:52,600
Speaker 1: Like, no, not go ahead, come on, come on.

473
00:22:52,640 --> 00:22:55,240
Speaker 5: They went, and the amount of time they spent on

474
00:22:55,320 --> 00:22:57,760
Speaker 5: the bottom of my feet, I was like, oh, maybe.

475
00:22:57,760 --> 00:23:00,000
Speaker 1: Did they do the sanding thing, like the cheese gray

476
00:23:00,280 --> 00:23:01,960
Speaker 1: on the bottom of your feet where there's just like

477
00:23:02,000 --> 00:23:03,760
Speaker 1: a pile of grated parmesan.

478
00:23:05,680 --> 00:23:09,119
Speaker 5: They yeah, they put a respirator on and like like

479
00:23:09,160 --> 00:23:11,000
Speaker 5: an air vent, like they were cooking at like a

480
00:23:11,080 --> 00:23:12,760
Speaker 5: tep on yaki restaurant or something.

481
00:23:12,800 --> 00:23:15,840
Speaker 2: You needed one of those treatments where the fish come

482
00:23:15,840 --> 00:23:18,360
Speaker 2: and eat the dead skin off your Yeah.

483
00:23:18,200 --> 00:23:20,720
Speaker 1: I see that all the time. I'm like, but then

484
00:23:20,720 --> 00:23:22,399
Speaker 1: part of me is like, is that really good eating

485
00:23:22,440 --> 00:23:25,919
Speaker 1: on there for you? That good eating? Okay? They just

486
00:23:25,920 --> 00:23:32,160
Speaker 1: give up and they're like Jesus, yeah you're there. Yeah,

487
00:23:32,520 --> 00:23:35,600
Speaker 1: like pandorizer, you get some A one on this. It's

488
00:23:35,600 --> 00:23:39,040
Speaker 1: a little well done, salted a little bit before you

489
00:23:39,080 --> 00:23:42,240
Speaker 1: come to the damn All right, let's take a quick

490
00:23:42,280 --> 00:23:44,959
Speaker 1: break and we'll come back and talk about some news.

491
00:23:45,080 --> 00:23:59,080
Speaker 1: We'll be right back and we're back. And yeah, you

492
00:23:59,080 --> 00:24:02,879
Speaker 1: guys this Donald, ye see star this you heard about this?

493
00:24:03,280 --> 00:24:04,720
Speaker 6: No tell me more So.

494
00:24:04,760 --> 00:24:10,040
Speaker 1: This campaign occasionally is feeling like just keeping a running

495
00:24:10,080 --> 00:24:14,959
Speaker 1: tally of the deranged soundbites from each candidate. However, this

496
00:24:15,040 --> 00:24:19,280
Speaker 1: weekend Trump was really like putting some numbers on the board. Yeah.

497
00:24:19,320 --> 00:24:22,160
Speaker 1: He referred to the country of Argentina as a great

498
00:24:22,280 --> 00:24:28,760
Speaker 1: guy called Biden. Obama likened migrants to Hannibal Lecter from

499
00:24:28,840 --> 00:24:32,199
Speaker 1: Silence of the Lambs. He said, they're rough people in

500
00:24:32,240 --> 00:24:37,480
Speaker 1: many cases, from jail's prisons, from mental institutions, insane asylums,

501
00:24:37,840 --> 00:24:40,840
Speaker 1: you know, insane asylums. That's Silence of the Lambs stuff,

502
00:24:41,440 --> 00:24:45,840
Speaker 1: Hannibal Lecter. Anybody no handible elector, he said he had

503
00:24:45,840 --> 00:24:48,520
Speaker 1: to survey the audience. Anybody heard of him. Well, he's

504
00:24:48,600 --> 00:24:51,879
Speaker 1: like a fucking comic. He's just doing credible well.

505
00:24:51,880 --> 00:24:53,600
Speaker 5: And then he also had a lot of Trump I mean,

506
00:24:53,600 --> 00:24:56,960
Speaker 5: he also had a lot of speaking errors too. He

507
00:24:57,000 --> 00:24:59,520
Speaker 5: was running up the score on like trying to say

508
00:24:59,560 --> 00:25:01,680
Speaker 5: things as well. But hey, that's he's such as part

509
00:25:01,720 --> 00:25:02,920
Speaker 5: of the campaign from all.

510
00:25:03,040 --> 00:25:06,600
Speaker 1: Yeah, I think I feel like every person during the

511
00:25:06,640 --> 00:25:09,600
Speaker 1: course of their life has a certain amount of drunkness

512
00:25:09,640 --> 00:25:13,160
Speaker 1: to get through, and even if you don't drink, as

513
00:25:13,240 --> 00:25:16,719
Speaker 1: is his case, he's just like burning out all the drunkness.

514
00:25:16,720 --> 00:25:19,119
Speaker 6: Now, well, doesn't he have that theory that everyone is

515
00:25:19,119 --> 00:25:20,760
Speaker 6: born with a certain amount of energy?

516
00:25:20,920 --> 00:25:23,399
Speaker 1: Yes, yeah, you just have a certain amount of energy.

517
00:25:23,359 --> 00:25:25,920
Speaker 6: Right, So he has that with drunkness too. Yeah, he's

518
00:25:25,960 --> 00:25:27,120
Speaker 6: got to burn through it.

519
00:25:27,119 --> 00:25:31,760
Speaker 1: It's also burning through just plowing lines of adderall. I think, well, yeah,

520
00:25:32,040 --> 00:25:35,119
Speaker 1: that's also has something to do with him slurring and

521
00:25:35,160 --> 00:25:39,679
Speaker 1: not seeming fully coherent. But sandwiched amongst this sea of

522
00:25:39,720 --> 00:25:44,199
Speaker 1: bullshit was a new concerning campaign promise that probably deserves

523
00:25:44,240 --> 00:25:46,720
Speaker 1: more attention than the mainstream media is giving it. He

524
00:25:46,840 --> 00:25:50,120
Speaker 1: declared in Virginia that, as he's been hinting at since

525
00:25:50,200 --> 00:25:53,840
Speaker 1: last year, if he has elected president, he will withhold

526
00:25:53,880 --> 00:25:57,119
Speaker 1: funding for schools that have a vaccine requirement.

527
00:25:59,440 --> 00:26:01,960
Speaker 5: They were cheap hearing it was wild. People were like,

528
00:26:03,320 --> 00:26:05,080
Speaker 5: and I think some people were like, wait, I think

529
00:26:05,080 --> 00:26:05,760
Speaker 5: that's bad.

530
00:26:06,160 --> 00:26:06,520
Speaker 6: Wait.

531
00:26:07,160 --> 00:26:11,920
Speaker 3: Second, which to general like not just COVID, he means

532
00:26:11,920 --> 00:26:13,719
Speaker 3: like everything, mmore, like anything.

533
00:26:14,320 --> 00:26:18,640
Speaker 1: Okay, But I think he's playing to a crowd that

534
00:26:18,760 --> 00:26:23,320
Speaker 1: wouldn't probably not distinguish between those they would Hey, they're

535
00:26:23,320 --> 00:26:26,600
Speaker 1: not saying you can't get the vaccine. They're just saying

536
00:26:26,680 --> 00:26:32,640
Speaker 1: they want their freedom as Americans do not get a vaccine.

537
00:26:32,640 --> 00:26:37,919
Speaker 1: Bring back to practice a vaccine. Safety is like the

538
00:26:38,040 --> 00:26:40,919
Speaker 1: fucking phrasing that you hear with these people.

539
00:26:41,359 --> 00:26:43,400
Speaker 3: You know, we haven't said rubella in a long time.

540
00:26:43,880 --> 00:26:44,560
Speaker 3: Maybe we should.

541
00:26:44,680 --> 00:26:48,480
Speaker 6: It's a beautiful thing in Florida, right, measles is running round?

542
00:26:48,760 --> 00:26:52,560
Speaker 1: What about mumps? Yeah, but I'm also hitting momps looking

543
00:26:52,640 --> 00:26:55,399
Speaker 1: fun kind of makes me want to shake. Is even

544
00:26:55,520 --> 00:26:57,280
Speaker 1: mumps now that I think about.

545
00:26:57,040 --> 00:26:58,960
Speaker 6: It, it's I don't know, I.

546
00:26:58,960 --> 00:27:02,200
Speaker 5: Don't know if the glans on each side of the face,

547
00:27:02,400 --> 00:27:05,119
Speaker 5: these glands called okay ah.

548
00:27:04,680 --> 00:27:06,320
Speaker 6: That's going to be really painful.

549
00:27:06,680 --> 00:27:10,679
Speaker 5: Yeah, oh yeah, yeah, god okay. Well, hey man, freedom

550
00:27:10,680 --> 00:27:12,439
Speaker 5: it's all about freedom, bringing mops back.

551
00:27:12,320 --> 00:27:15,639
Speaker 6: Bringing back it's you have that that thing with the

552
00:27:15,720 --> 00:27:18,560
Speaker 6: vaccines and the whole like science denial. But I also

553
00:27:18,640 --> 00:27:20,919
Speaker 6: when they're putting it into the schools, they have like

554
00:27:20,960 --> 00:27:23,280
Speaker 6: this larger plan to dismantle public education.

555
00:27:23,359 --> 00:27:27,119
Speaker 1: Yeah right, kids, right, Yeah, it's a two edged sword

556
00:27:27,160 --> 00:27:30,399
Speaker 1: that works for them in a number of ways that

557
00:27:30,440 --> 00:27:33,399
Speaker 1: they're and then like siphon it to like charter schools.

558
00:27:33,400 --> 00:27:37,160
Speaker 3: Well, those privatize everything exactly the ultimate goal.

559
00:27:37,800 --> 00:27:41,560
Speaker 1: But expert, which you know, we trust those guys as

560
00:27:41,600 --> 00:27:44,160
Speaker 1: far as you can throw them, but experts have warned

561
00:27:44,600 --> 00:27:48,439
Speaker 1: that this could create quote, a public health catastrophe for

562
00:27:48,560 --> 00:27:52,879
Speaker 1: the nation. Yeah. Yeah, that's Peter from.

563
00:27:52,840 --> 00:27:55,639
Speaker 5: Baylor, who, like, you know, was like one of you know,

564
00:27:55,800 --> 00:27:58,879
Speaker 5: really out there during COVID, like sounding the alarm and

565
00:27:58,920 --> 00:28:01,000
Speaker 5: telling people about like what they're risks are. But yeah,

566
00:28:01,160 --> 00:28:04,280
Speaker 5: in fact, he's like, yeah, that's uh, don't just fucking

567
00:28:04,280 --> 00:28:05,600
Speaker 5: cut the brakes on this thing.

568
00:28:06,280 --> 00:28:09,200
Speaker 6: Yeah, I feel like I'd be like, well, you know what,

569
00:28:09,320 --> 00:28:13,000
Speaker 6: culder herd, but it's not going to affect.

570
00:28:12,800 --> 00:28:17,600
Speaker 1: The rest of us exactly. Yeah, we can all have

571
00:28:17,680 --> 00:28:21,240
Speaker 1: mumps together, right, Oh my god, it'd be so fun

572
00:28:21,359 --> 00:28:24,400
Speaker 1: team building. We haven't heard from Aaron Rodgers. I'm where

573
00:28:24,440 --> 00:28:27,920
Speaker 1: he's coming down on this, so we're waiting to pass judgment,

574
00:28:28,119 --> 00:28:30,520
Speaker 1: but you know, yeah, the real expert. We're waiting.

575
00:28:30,600 --> 00:28:33,360
Speaker 6: Yeah, I just want to know, like, what essential oils

576
00:28:33,400 --> 00:28:35,040
Speaker 6: do you use for mumps.

577
00:28:36,840 --> 00:28:39,640
Speaker 1: It's just it's that cooidal silver obviously.

578
00:28:39,720 --> 00:28:40,200
Speaker 6: Yeah.

579
00:28:40,480 --> 00:28:42,240
Speaker 5: I don't know if you've seen Mother God, but you

580
00:28:42,320 --> 00:28:43,920
Speaker 5: kind of want to do something like that.

581
00:28:44,160 --> 00:28:46,280
Speaker 6: Or maybe email oil is that helpful?

582
00:28:46,360 --> 00:28:47,320
Speaker 3: You want to rub that on the.

583
00:28:49,440 --> 00:28:52,840
Speaker 5: Okay, yep, and then philippath full of eucalyptus leaves and

584
00:28:52,960 --> 00:28:56,360
Speaker 5: just read that. Yeah, anyway, but these are all things

585
00:28:56,360 --> 00:28:58,840
Speaker 5: that we can do to fight off the coming I

586
00:28:58,880 --> 00:29:00,240
Speaker 5: don't know, retro.

587
00:29:00,080 --> 00:29:01,280
Speaker 1: Pandemic that's coming anyway.

588
00:29:01,320 --> 00:29:04,520
Speaker 5: But despite all this stuff, it looks like voters are

589
00:29:04,560 --> 00:29:07,800
Speaker 5: pretty chill about Trump being not being a dictator or

590
00:29:07,880 --> 00:29:10,320
Speaker 5: being one. They don't know because a lot of the

591
00:29:10,360 --> 00:29:14,480
Speaker 5: Biden campaign, like their electoral messaging, is their strategy hinges

592
00:29:14,560 --> 00:29:18,840
Speaker 5: on Biden reminding voters that Trump is indeed a wacky

593
00:29:18,880 --> 00:29:21,840
Speaker 5: piece of shit that is bad for America, and they've

594
00:29:21,840 --> 00:29:25,360
Speaker 5: been very explicit about this, and that makes the findings

595
00:29:25,400 --> 00:29:27,760
Speaker 5: of a recent poll a little unsettling. There was a

596
00:29:27,800 --> 00:29:31,480
Speaker 5: poll that was asking people in swing states that was

597
00:29:31,680 --> 00:29:36,640
Speaker 5: specifically designed to only include people that potentially actually vote

598
00:29:36,640 --> 00:29:38,800
Speaker 5: for Biden, meaning no one who voted Trump for in

599
00:29:38,880 --> 00:29:41,720
Speaker 5: twenty twenty was, you know, none of their answers were

600
00:29:41,760 --> 00:29:44,880
Speaker 5: taking into the analysis, or people that believe the election

601
00:29:45,200 --> 00:29:48,200
Speaker 5: was stolen. Those people's answers were also left out of

602
00:29:48,240 --> 00:29:51,560
Speaker 5: the analysis. So again, these are voters in swing states

603
00:29:51,600 --> 00:29:55,520
Speaker 5: that potentially could vote for Biden. The poll asked these

604
00:29:55,560 --> 00:29:59,320
Speaker 5: people about ten of Trump's quote most authoritarian statements, things

605
00:29:59,360 --> 00:30:01,880
Speaker 5: like he would he would like terminate parts of the Constitution,

606
00:30:02,000 --> 00:30:05,560
Speaker 5: that immigrants are poisoning the blood of our country, his

607
00:30:05,720 --> 00:30:10,120
Speaker 5: vow to pardon January sixth rioters that promise to prosecute

608
00:30:10,120 --> 00:30:14,200
Speaker 5: the Biden family with no evidence, his threat to quote

609
00:30:14,200 --> 00:30:19,400
Speaker 5: inflict mass persecution on the quote vermin opposition. Only thirty

610
00:30:19,400 --> 00:30:23,000
Speaker 5: one percent of responded said they previously had heard about

611
00:30:23,040 --> 00:30:25,880
Speaker 5: these statements by Trump. They're like, oh, that's what he said.

612
00:30:26,040 --> 00:30:28,840
Speaker 5: Oh interesting, that is didn were saying he also.

613
00:30:28,640 --> 00:30:30,200
Speaker 1: Wanted to like do it? Did They include the one

614
00:30:30,240 --> 00:30:31,840
Speaker 1: where he was like, yeah, I'm not going to do

615
00:30:31,880 --> 00:30:34,880
Speaker 1: a dictatorship except on day one. Day one.

616
00:30:34,760 --> 00:30:37,720
Speaker 5: Yeah, that's when I was just day one, just day

617
00:30:37,800 --> 00:30:39,920
Speaker 5: one enough to kick it off and then I'll let

618
00:30:40,000 --> 00:30:43,280
Speaker 5: my minions do the work. But yeah, so not great

619
00:30:43,320 --> 00:30:45,880
Speaker 5: if you're betting the farm on, you know, screaming about

620
00:30:45,880 --> 00:30:48,479
Speaker 5: how Trump's you know what, like what his record is.

621
00:30:48,680 --> 00:30:50,520
Speaker 5: And but the I guess the positive news here is

622
00:30:50,520 --> 00:30:54,440
Speaker 5: that when people did hear about this, their feelings changed,

623
00:30:55,160 --> 00:30:58,320
Speaker 5: so people began to see him as quote out for revenge.

624
00:30:58,360 --> 00:31:00,840
Speaker 5: That jumped up by five points after hearing this. The

625
00:31:00,920 --> 00:31:04,400
Speaker 5: percentage you see him as quote dangerous rose by nine points,

626
00:31:04,400 --> 00:31:07,160
Speaker 5: and the percentage you see him as a dictator went

627
00:31:07,280 --> 00:31:10,320
Speaker 5: up seven points and a lot of like the accepted

628
00:31:10,360 --> 00:31:13,520
Speaker 5: wisdom in DC is that like people already know that

629
00:31:13,640 --> 00:31:16,480
Speaker 5: this guy's dangerous, you know, like just stop wasting your time.

630
00:31:17,120 --> 00:31:20,120
Speaker 5: But this pole is otherwise about a third if people

631
00:31:20,200 --> 00:31:23,520
Speaker 5: were like, huh what, So at least there's room for

632
00:31:23,680 --> 00:31:27,280
Speaker 5: people to get rightly freaked out, I guess is the

633
00:31:27,320 --> 00:31:31,520
Speaker 5: silver lighting here, there's room for more freaking out.

634
00:31:32,000 --> 00:31:32,200
Speaker 1: Yeah.

635
00:31:32,560 --> 00:31:34,080
Speaker 3: Freaking out is a weird thing because you have to

636
00:31:34,160 --> 00:31:36,800
Speaker 3: manage it though, because if you if you, if you

637
00:31:36,800 --> 00:31:38,960
Speaker 3: get people freaked out, they don't want to stay freaked out,

638
00:31:39,000 --> 00:31:40,720
Speaker 3: so then they'll stop listening to you if you freak

639
00:31:40,760 --> 00:31:42,480
Speaker 3: them out for too long, So you have to freak

640
00:31:42,520 --> 00:31:46,080
Speaker 3: them out in in spurts, basically, right. And then there's

641
00:31:46,120 --> 00:31:49,800
Speaker 3: also the problem is essentially that we're talking about this

642
00:31:49,800 --> 00:31:52,720
Speaker 3: this Trump issue. I think here's a good analogy. It's

643
00:31:52,720 --> 00:31:54,400
Speaker 3: like a crime. Right, you cannot go to the police

644
00:31:54,400 --> 00:31:57,120
Speaker 3: and say, hey, I want you to investigate this crime.

645
00:31:57,240 --> 00:31:59,280
Speaker 3: Until there's a crime you can tell people what Trump's

646
00:31:59,320 --> 00:32:01,440
Speaker 3: going to do, but they believe you until he's done it.

647
00:32:01,480 --> 00:32:03,480
Speaker 3: But we can't have him do it because then he's

648
00:32:03,480 --> 00:32:03,800
Speaker 3: done it.

649
00:32:03,880 --> 00:32:06,200
Speaker 1: So it's the.

650
00:32:05,560 --> 00:32:07,440
Speaker 3: Issue of we have to think differently about it. So

651
00:32:07,520 --> 00:32:09,800
Speaker 3: there was this woman who called the police and she

652
00:32:09,880 --> 00:32:11,840
Speaker 3: wanted them to find her missing I think it was

653
00:32:11,840 --> 00:32:14,280
Speaker 3: her sister, And instead of saying it was her missing sister,

654
00:32:14,360 --> 00:32:17,080
Speaker 3: she phoned in that her sister's car was stolen. They

655
00:32:17,120 --> 00:32:19,280
Speaker 3: found the missing car, and they found the sister. They

656
00:32:19,280 --> 00:32:21,520
Speaker 3: would not have looked for her sister otherwise, but they

657
00:32:21,560 --> 00:32:23,680
Speaker 3: knew that the cops would go to find the missing car,

658
00:32:23,840 --> 00:32:25,880
Speaker 3: the stolen car because they care about property and it's

659
00:32:25,880 --> 00:32:28,080
Speaker 3: easier for them to look for blah blah blah blah blah.

660
00:32:28,120 --> 00:32:33,560
Speaker 1: Right, give us forty eight hours exactly before the cars

661
00:32:33,720 --> 00:32:36,920
Speaker 1: to be gone. Forty eight hours consider it stolen, ye,

662
00:32:37,680 --> 00:32:38,360
Speaker 1: with all that stuff.

663
00:32:38,440 --> 00:32:40,840
Speaker 3: So I think the Democratic you know, strategists need to

664
00:32:40,880 --> 00:32:43,360
Speaker 3: think about the stolen car messaging of how they can

665
00:32:43,400 --> 00:32:45,440
Speaker 3: manage this moment because they're gonna have months that they

666
00:32:45,440 --> 00:32:47,160
Speaker 3: have to freak people out about Trump, and you do

667
00:32:47,280 --> 00:32:49,400
Speaker 3: not want to turn them off, So pick your moments.

668
00:32:49,640 --> 00:32:52,800
Speaker 1: They got to do a little bit of freak out edging.

669
00:32:53,080 --> 00:32:58,960
Speaker 9: Exactly right, don't fucking go to harge boil slow, Yes, exactly.

670
00:32:59,280 --> 00:33:00,760
Speaker 5: But I think you just deal sort of like to

671
00:33:00,760 --> 00:33:03,960
Speaker 5: your point, like this disparity between how elected officials like

672
00:33:04,080 --> 00:33:07,360
Speaker 5: wonks and like Capitol Hill reporters see things and how

673
00:33:07,440 --> 00:33:11,040
Speaker 5: normal everyday voters do. Again, that's why like hinging this

674
00:33:11,120 --> 00:33:13,440
Speaker 5: whole thing on telling people about how Trump could be

675
00:33:14,240 --> 00:33:15,600
Speaker 5: as your entire strategy.

676
00:33:16,040 --> 00:33:17,000
Speaker 1: I don't know, you.

677
00:33:17,000 --> 00:33:19,000
Speaker 5: Also kind of need to do more to help people

678
00:33:19,120 --> 00:33:22,240
Speaker 5: understand also what your vision is. It's like being on

679
00:33:22,280 --> 00:33:25,000
Speaker 5: the dating game, right, and like you're you're courting one

680
00:33:25,040 --> 00:33:27,760
Speaker 5: of the contestants and they say, oh, suitor number one,

681
00:33:28,040 --> 00:33:30,080
Speaker 5: what's your favorite romantic day? And they go, let me

682
00:33:30,120 --> 00:33:32,640
Speaker 5: tell you about suitor number two. He's a dangerous piece

683
00:33:32,680 --> 00:33:36,760
Speaker 5: of shit, right, fuck d dude, he's he's Wow, he's crazy.

684
00:33:38,560 --> 00:33:42,160
Speaker 5: Here next to him ran as a person at the

685
00:33:42,200 --> 00:33:44,040
Speaker 5: person who's like the one about to go on the date.

686
00:33:44,040 --> 00:33:47,120
Speaker 1: They're like, okay, what about you though? Do we talk

687
00:33:47,200 --> 00:33:48,600
Speaker 1: about you? Well, this guy's crazy.

688
00:33:48,840 --> 00:33:51,160
Speaker 3: Yeeah. You ain't seen suitor number three yet, so.

689
00:33:51,760 --> 00:33:54,160
Speaker 5: It's like, well, okay, that's like, what are you going

690
00:33:54,200 --> 00:33:56,719
Speaker 5: to do. That's another part of the ribs here that

691
00:33:56,760 --> 00:34:00,280
Speaker 5: they really need to actually understand, Like that's good to

692
00:34:00,480 --> 00:34:02,920
Speaker 5: sound the alarm, but you also need to give people

693
00:34:02,920 --> 00:34:04,960
Speaker 5: a vision of the future they can invest in that,

694
00:34:05,160 --> 00:34:06,800
Speaker 5: you know, and I know this is hard for the

695
00:34:06,880 --> 00:34:10,239
Speaker 5: establishment Democratic party, but like, you know, can you can

696
00:34:10,280 --> 00:34:12,160
Speaker 5: you do something a little bit more than the status

697
00:34:12,200 --> 00:34:13,840
Speaker 5: quo that might also help too.

698
00:34:13,960 --> 00:34:16,239
Speaker 3: Yeah, swing with both hands, like you know, use that

699
00:34:16,320 --> 00:34:17,880
Speaker 3: right for the attack and use the left for like,

700
00:34:17,920 --> 00:34:20,279
Speaker 3: okay defense, Like okay, I'm gonna keep Trump off, but

701
00:34:20,280 --> 00:34:22,359
Speaker 3: tell me what you're gonna do too. I think it's

702
00:34:22,360 --> 00:34:24,320
Speaker 3: a really a good point, which is you hear the

703
00:34:24,400 --> 00:34:27,359
Speaker 3: voters saying that, and yet Democrats tend to, at least

704
00:34:27,360 --> 00:34:29,920
Speaker 3: at the national level, want to maintain a momentum machine

705
00:34:30,000 --> 00:34:33,400
Speaker 3: rather than like they they talk about the threats to

706
00:34:33,480 --> 00:34:35,479
Speaker 3: what you may lose from the other party, as you're saying,

707
00:34:35,560 --> 00:34:37,200
Speaker 3: but they never talk about where it's gonna go. It's

708
00:34:37,200 --> 00:34:39,040
Speaker 3: just been Oh, you gonna keep going the way it's going.

709
00:34:39,080 --> 00:34:40,760
Speaker 3: You love this, don't you love stuff?

710
00:34:40,800 --> 00:34:41,280
Speaker 4: All the stuff?

711
00:34:41,320 --> 00:34:41,919
Speaker 3: Yeah, it's great.

712
00:34:42,000 --> 00:34:44,640
Speaker 1: No, that's not gonna work. The stuff that they claim

713
00:34:44,680 --> 00:34:45,400
Speaker 1: they're gonna.

714
00:34:45,239 --> 00:34:47,279
Speaker 5: Right exactly case, Yeah, because they've hit the sort of

715
00:34:47,320 --> 00:34:49,440
Speaker 5: like end of the rope, because at this point, if

716
00:34:49,440 --> 00:34:51,000
Speaker 5: they go further, they're like, I guess.

717
00:34:50,880 --> 00:34:52,040
Speaker 1: Do we defund the police?

718
00:34:52,080 --> 00:34:54,440
Speaker 5: I guess you would actually do something about the climate,

719
00:34:54,520 --> 00:34:55,719
Speaker 5: like in a really aggressive way.

720
00:34:55,760 --> 00:34:56,799
Speaker 1: I guess I think that's the thing.

721
00:34:58,320 --> 00:34:59,680
Speaker 3: Yeah, right, Voters of BABA.

722
00:35:00,120 --> 00:35:02,200
Speaker 6: Brave about any kind of stance. You know, you're trying

723
00:35:02,200 --> 00:35:04,719
Speaker 6: to play the middle, and I understand that, but when

724
00:35:04,760 --> 00:35:07,920
Speaker 6: you look back historically at the big movements that have

725
00:35:07,920 --> 00:35:11,160
Speaker 6: have helped our society, they're brave, you know, and you

726
00:35:11,280 --> 00:35:12,719
Speaker 6: kind of go out on a limb. So it's like

727
00:35:12,760 --> 00:35:14,719
Speaker 6: you're saying the one two punch of like, look at

728
00:35:14,719 --> 00:35:17,319
Speaker 6: this really bold thing we're going to do. Ps. This

729
00:35:17,360 --> 00:35:18,880
Speaker 6: guy's fucking out of his mind.

730
00:35:19,320 --> 00:35:20,160
Speaker 1: Yeah, you know.

731
00:35:20,920 --> 00:35:24,320
Speaker 3: The FDRJ like the Fight and the program.

732
00:35:24,400 --> 00:35:27,399
Speaker 1: Yeah yeah, I just want the FDR in the sense

733
00:35:27,440 --> 00:35:31,480
Speaker 1: that I want Polio to come back. Yeah, we are

734
00:35:31,520 --> 00:35:35,280
Speaker 1: working on that six months. Don't worry. The dating game analogy,

735
00:35:35,320 --> 00:35:38,759
Speaker 1: I made reference to Rodney Alcala, the serial killer who

736
00:35:38,840 --> 00:35:41,880
Speaker 1: was on the Dating Game and he won that ship.

737
00:35:45,360 --> 00:35:47,480
Speaker 1: I don't know what the other. I don't know what

738
00:35:47,640 --> 00:35:51,960
Speaker 1: the other or the other contestant strategy was if they

739
00:35:52,040 --> 00:35:54,160
Speaker 1: I wonder if the guy was like, this guy murder.

740
00:35:55,480 --> 00:35:58,760
Speaker 1: He's a murderer. I'm pretty sure this guy is wanted

741
00:35:58,880 --> 00:36:03,320
Speaker 1: for murder. And they're like, oh my god, this guy's

742
00:36:03,400 --> 00:36:07,279
Speaker 1: intriguing negative, Why are you guys like so obsessed with him?

743
00:36:07,480 --> 00:36:11,880
Speaker 1: Is like so intrigued? Now, Yeah, he went on the

744
00:36:11,960 --> 00:36:17,560
Speaker 1: date and the date ended prematurely because the person found

745
00:36:17,640 --> 00:36:18,360
Speaker 1: him creepy.

746
00:36:18,920 --> 00:36:22,240
Speaker 3: Right ah yeah.

747
00:36:22,480 --> 00:36:25,160
Speaker 1: Unfortunately, in the case of Trump, on day one, when

748
00:36:25,200 --> 00:36:27,920
Speaker 1: he's like dictatorship, it will be too late for us

749
00:36:27,960 --> 00:36:29,799
Speaker 1: to find him creepy. Yep.

750
00:36:29,960 --> 00:36:30,160
Speaker 4: Yeah.

751
00:36:30,239 --> 00:36:30,919
Speaker 1: Yeah.

752
00:36:30,960 --> 00:36:33,160
Speaker 3: But also the Democrats, why can't they talk about what

753
00:36:33,200 --> 00:36:35,200
Speaker 3: he did the first time he was president and they

754
00:36:35,320 --> 00:36:37,239
Speaker 3: then connect that to what he's going what he says

755
00:36:37,280 --> 00:36:39,720
Speaker 3: he wants to do, talk about what he actually has done,

756
00:36:39,840 --> 00:36:41,719
Speaker 3: his actions, and then go and he wants to do

757
00:36:41,800 --> 00:36:43,560
Speaker 3: more of that if they're going to talk about it

758
00:36:43,640 --> 00:36:45,320
Speaker 3: rather than just wagging a finger and being like, you know,

759
00:36:45,400 --> 00:36:47,000
Speaker 3: he's gonna do because then it sounds like he's got

760
00:36:47,040 --> 00:36:48,759
Speaker 3: all this power, like this guy's just gonna get in

761
00:36:48,760 --> 00:36:51,560
Speaker 3: there and do stuff. People his voters are a lot

762
00:36:51,600 --> 00:36:53,760
Speaker 3: of the moderates. Can they kind of dig the idea

763
00:36:53,800 --> 00:36:55,680
Speaker 3: that this guy has some energy and plans to do something.

764
00:36:55,719 --> 00:36:57,960
Speaker 3: So don't give him credit for wanting to do stuff

765
00:36:58,160 --> 00:37:00,600
Speaker 3: because it backfires for lots of reasons.

766
00:37:01,360 --> 00:37:04,839
Speaker 1: Yeah, dictatorship, I think like after you know, like, like

767
00:37:04,880 --> 00:37:09,080
Speaker 1: we mentioned, a lot of people's disillusionment with the Democratic

768
00:37:09,120 --> 00:37:13,319
Speaker 1: Party is their propensity to be like, well, we promised this,

769
00:37:13,480 --> 00:37:16,880
Speaker 1: but we've thrown up their hands, like the powers that be.

770
00:37:17,440 --> 00:37:18,640
Speaker 1: It's like, you be the president.

771
00:37:20,920 --> 00:37:23,839
Speaker 6: Well, and I swear to God if any other any

772
00:37:23,960 --> 00:37:26,200
Speaker 6: like top politician comes at me with you know, you

773
00:37:26,280 --> 00:37:28,480
Speaker 6: got to get out and vote, I'm like, look, bitch,

774
00:37:28,600 --> 00:37:31,759
Speaker 6: I voted and you haven't done anything about it. Stop

775
00:37:31,800 --> 00:37:34,240
Speaker 6: telling me to vote, because I keep voting. I keep voting,

776
00:37:34,600 --> 00:37:37,680
Speaker 6: and then what at some point you got to hold

777
00:37:37,719 --> 00:37:38,239
Speaker 6: up your end of.

778
00:37:38,280 --> 00:37:43,120
Speaker 1: The bargain here, right, But I do wonder if, like

779
00:37:43,760 --> 00:37:45,520
Speaker 1: you know that there have been a lot of interviews

780
00:37:45,520 --> 00:37:49,040
Speaker 1: and polls with Trump's supporters that indicate that they're not

781
00:37:49,120 --> 00:37:53,759
Speaker 1: voting for him in spite of the dictatorial vibes, but

782
00:37:54,000 --> 00:37:57,160
Speaker 1: because of the dictatorial vibes and because people are like, yeah,

783
00:37:57,160 --> 00:38:02,480
Speaker 1: it's time for something different, you know. Mussolini, I don't know,

784
00:38:02,840 --> 00:38:09,879
Speaker 1: guy had real energy had riz So all right, let's

785
00:38:09,920 --> 00:38:11,680
Speaker 1: take a quick break. We'll come back and we'll talk

786
00:38:11,719 --> 00:38:14,080
Speaker 1: about the guy who got stung on ballsacked by scorpion.

787
00:38:14,239 --> 00:38:27,239
Speaker 1: We'll be right back, and we're back. We're and you

788
00:38:27,280 --> 00:38:31,160
Speaker 1: know the thing about the companies, the people making the

789
00:38:31,200 --> 00:38:36,359
Speaker 1: decisions deciding what these products actually are and how they

790
00:38:36,400 --> 00:38:41,640
Speaker 1: interact with the consumers, like that being completely insulated from

791
00:38:41,840 --> 00:38:45,040
Speaker 1: the actual people using the products, or viewing them as

792
00:38:45,080 --> 00:38:47,799
Speaker 1: piggies who we don't mind if they get sucked out

793
00:38:47,840 --> 00:38:50,040
Speaker 1: of a out of a door that pops off the

794
00:38:50,080 --> 00:38:56,799
Speaker 1: bone jet feels like it's of a piece with Like

795
00:38:57,160 --> 00:39:03,520
Speaker 1: you'll read these articles about how economists are baffled, and

796
00:39:03,560 --> 00:39:06,880
Speaker 1: they're like the old rules of macroeconomics no longer applied.

797
00:39:07,040 --> 00:39:09,680
Speaker 1: Like just look at the pandemic and the you know,

798
00:39:09,719 --> 00:39:13,880
Speaker 1: there was supposed to be this massive recession because fucking

799
00:39:13,920 --> 00:39:18,759
Speaker 1: everything shut down, and yet we kept these good economic

800
00:39:18,960 --> 00:39:22,640
Speaker 1: metrics throughout or like the you know, the stock market

801
00:39:22,719 --> 00:39:27,560
Speaker 1: never fully crashed on us, and we're baffled, and it

802
00:39:27,640 --> 00:39:31,920
Speaker 1: just feels like the whole thing is part of the

803
00:39:32,080 --> 00:39:35,760
Speaker 1: system where the people who are at the very top

804
00:39:36,120 --> 00:39:38,759
Speaker 1: and who are like involved in the stock market are

805
00:39:38,800 --> 00:39:44,320
Speaker 1: completely insulated from everything going on below. And yes, it's

806
00:39:44,400 --> 00:39:46,880
Speaker 1: all like it's that as much as it is like

807
00:39:46,920 --> 00:39:50,040
Speaker 1: a problem with tech, and tech has made it has

808
00:39:50,080 --> 00:39:53,520
Speaker 1: been like the thing that has allowed the disease to

809
00:39:53,640 --> 00:39:58,160
Speaker 1: spread more quickly. It feels like it's good old fashioned,

810
00:39:58,320 --> 00:40:01,000
Speaker 1: just like yeah, like monopoly and like all the shit

811
00:40:01,080 --> 00:40:05,880
Speaker 1: there was a problem in the early twentieth century, late

812
00:40:06,120 --> 00:40:09,480
Speaker 1: nineteenth century. It's just like you just have these people

813
00:40:09,480 --> 00:40:13,279
Speaker 1: who are making all the important, influential decisions who are

814
00:40:13,360 --> 00:40:18,439
Speaker 1: one hundred percent just decoupled from the people who their

815
00:40:18,520 --> 00:40:19,480
Speaker 1: decisions affect.

816
00:40:20,200 --> 00:40:24,920
Speaker 4: Yes, and that is the overwhelming problem and a symptom

817
00:40:24,960 --> 00:40:29,160
Speaker 4: of an economy ruled by weak labor standards and weak

818
00:40:29,200 --> 00:40:33,440
Speaker 4: anti trust. Right and the market, you're right, is a

819
00:40:33,480 --> 00:40:36,239
Speaker 4: problem outside of tech. Boeing being a great example of

820
00:40:36,239 --> 00:40:41,080
Speaker 4: a company that just flaunted basic safety. Tesla another great example.

821
00:40:41,160 --> 00:40:44,200
Speaker 4: They're not they are not a tech company. They are

822
00:40:44,200 --> 00:40:46,400
Speaker 4: a car company. Elon Musky's trying to claim they're an

823
00:40:46,400 --> 00:40:49,520
Speaker 4: AI company because he's just a crook and a lion,

824
00:40:49,880 --> 00:40:51,560
Speaker 4: that's all he's capable of doing.

825
00:40:51,840 --> 00:40:52,080
Speaker 1: Right.

826
00:40:52,760 --> 00:40:54,520
Speaker 4: Tesla is a great example as well of just like

827
00:40:54,600 --> 00:40:57,120
Speaker 4: a stock completely decoupled for it. It's a meme stock

828
00:40:57,160 --> 00:40:58,200
Speaker 4: at this point.

829
00:40:58,360 --> 00:41:00,800
Speaker 1: But it's such a successful mem and it's a memestock

830
00:41:00,880 --> 00:41:04,160
Speaker 1: that has made is the richest person in the world,

831
00:41:04,400 --> 00:41:08,040
Speaker 1: right Like that that was yeah, But can you just

832
00:41:08,080 --> 00:41:13,040
Speaker 1: talk about can you talk about, like what how people

833
00:41:13,080 --> 00:41:17,400
Speaker 1: perceive Elon Musk, Like my dad will say to me,

834
00:41:17,560 --> 00:41:19,920
Speaker 1: like Elon Musk is like, I mean that guy must

835
00:41:20,000 --> 00:41:22,239
Speaker 1: be so smart, right he Like I've even heard this

836
00:41:22,280 --> 00:41:24,960
Speaker 1: from like people who pay attention, like work in finance

837
00:41:25,000 --> 00:41:27,920
Speaker 1: and are like, I mean, guy disrupted like three major

838
00:41:28,000 --> 00:41:30,520
Speaker 1: markets in the course of like a couple. You know.

839
00:41:30,640 --> 00:41:34,040
Speaker 1: There is the I think the public image of him

840
00:41:34,239 --> 00:41:38,760
Speaker 1: is this like Tony Stark, you know, once a generation

841
00:41:39,640 --> 00:41:43,680
Speaker 1: genius and like that is how he like he invented

842
00:41:43,680 --> 00:41:46,799
Speaker 1: Tesla in his garage or some shit, Whereas like, you know,

843
00:41:47,040 --> 00:41:50,840
Speaker 1: he how did he actually grow his fortune? What is

844
00:41:50,880 --> 00:41:52,640
Speaker 1: the thing that he's good at? I think you've like

845
00:41:53,160 --> 00:41:56,440
Speaker 1: compared him to the CEO of Google, Like they're good

846
00:41:56,520 --> 00:41:59,760
Speaker 1: at the same thing, which is creating the illusion of growth.

847
00:42:00,080 --> 00:42:04,239
Speaker 4: That Elon is a marketer and his heart, he is

848
00:42:04,280 --> 00:42:06,920
Speaker 4: an operator and a marketer. He is good at mobilizing

849
00:42:06,960 --> 00:42:10,359
Speaker 4: capital and good at convincing people to put money into

850
00:42:10,400 --> 00:42:14,040
Speaker 4: other things unless it's a consumer product. Right, He has

851
00:42:14,160 --> 00:42:17,200
Speaker 4: never done well with any kind of consumer product. Car

852
00:42:17,560 --> 00:42:20,680
Speaker 4: He has done like largely because he knows how to

853
00:42:20,719 --> 00:42:23,320
Speaker 4: hire people, or at least he did before he went crazy.

854
00:42:24,200 --> 00:42:26,879
Speaker 4: He has always been kind of a shithead. That's also

855
00:42:26,920 --> 00:42:28,920
Speaker 4: an important thing to know. He has never been a

856
00:42:29,440 --> 00:42:32,280
Speaker 4: great guy. The myth of Elon Musk being this super

857
00:42:32,280 --> 00:42:35,120
Speaker 4: genius that invented Tesla is also wrong. He did not

858
00:42:35,520 --> 00:42:39,200
Speaker 4: someone I forget who there's a front for. There's a

859
00:42:39,200 --> 00:42:41,200
Speaker 4: couple of people who actually designed Tesla's and found at

860
00:42:41,239 --> 00:42:43,880
Speaker 4: the company. Elon came in with money. He was just

861
00:42:44,160 --> 00:42:45,920
Speaker 4: he invested and you know what, he invested well, and

862
00:42:46,000 --> 00:42:49,759
Speaker 4: he's been a champion for this. But he's also got

863
00:42:50,040 --> 00:42:53,840
Speaker 4: lax labor standards, horrible racism problem over at Tesla.

864
00:42:54,000 --> 00:42:54,120
Speaker 2: Right.

865
00:42:54,280 --> 00:42:56,799
Speaker 4: This has been what he dogpiled a report called Aaron

866
00:42:56,800 --> 00:43:01,080
Speaker 4: Bieber in like twenty seventeen. I believe he has been

867
00:43:01,160 --> 00:43:04,680
Speaker 4: this guy forever. But what Elon is good at is hype.

868
00:43:04,960 --> 00:43:07,720
Speaker 4: And he realized in like twenty thirteen that the press

869
00:43:07,719 --> 00:43:10,800
Speaker 4: would pretty much print anything he said forever. And hears

870
00:43:10,880 --> 00:43:13,200
Speaker 4: that again and again and again in a way that

871
00:43:13,920 --> 00:43:17,279
Speaker 4: should not be legal, right, Like I'm actually really like

872
00:43:17,840 --> 00:43:21,719
Speaker 4: if we had a strong enough sec to actually like,

873
00:43:21,800 --> 00:43:24,359
Speaker 4: surely there is a side where it's just a guy

874
00:43:24,440 --> 00:43:27,439
Speaker 4: being like, yes, so we put the first neuralink chip

875
00:43:27,480 --> 00:43:30,719
Speaker 4: inside a person, they can now see the future. And

876
00:43:30,760 --> 00:43:32,400
Speaker 4: it was like, yeah, let me just put down on

877
00:43:32,440 --> 00:43:34,839
Speaker 4: CNBC dot Com that sounds true to me. This guy

878
00:43:34,920 --> 00:43:37,200
Speaker 4: is a liar, but people are printed his shit forever.

879
00:43:37,480 --> 00:43:41,439
Speaker 4: He promised Autopilot like three years before it even got

880
00:43:41,480 --> 00:43:44,360
Speaker 4: close to existing. He has made up stuff about Tesla

881
00:43:44,440 --> 00:43:47,160
Speaker 4: for over a decade. He is just a liar, but

882
00:43:47,280 --> 00:43:49,800
Speaker 4: he's realized that this is how shit works, that people

883
00:43:49,840 --> 00:43:52,640
Speaker 4: are just like people will just ball for this ship

884
00:43:52,840 --> 00:43:55,680
Speaker 4: and people will buy his lies. He hasn't really corrected

885
00:43:55,719 --> 00:43:58,040
Speaker 4: the record that he isn't the inventor of Tesla, despite

886
00:43:58,040 --> 00:44:00,319
Speaker 4: the fact that he didn't invent Tesla. He didn't and

887
00:44:00,360 --> 00:44:03,239
Speaker 4: if the SpaceX stuff right, he didn't invent the Starling thing.

888
00:44:03,320 --> 00:44:05,440
Speaker 4: He didn't invent any of this stuff. He's just the

889
00:44:05,520 --> 00:44:09,279
Speaker 4: hype man and that was better before he was like,

890
00:44:09,560 --> 00:44:12,800
Speaker 4: what if I wanted to just posted something Hitler Jason

891
00:44:12,840 --> 00:44:16,200
Speaker 4: on Twitter, that'd be great, Like He's just I actually

892
00:44:16,280 --> 00:44:19,680
Speaker 4: genuinely think as well. People turning against the tech industry,

893
00:44:19,719 --> 00:44:22,480
Speaker 4: people being anger at tech, have done so because they've

894
00:44:22,520 --> 00:44:25,400
Speaker 4: kind of seen what he is, what Elon is, the

895
00:44:25,520 --> 00:44:28,240
Speaker 4: kind of person he really really is, and how little

896
00:44:28,320 --> 00:44:30,759
Speaker 4: value he actually has. And also they've seen how poorly

897
00:44:30,800 --> 00:44:34,040
Speaker 4: he's run Twitter, right right, Yeah.

898
00:44:33,560 --> 00:44:35,840
Speaker 5: Is there like you know, like with all this like

899
00:44:35,880 --> 00:44:39,120
Speaker 5: we all know basically there's just it's all this illusory shit.

900
00:44:39,320 --> 00:44:42,560
Speaker 5: It's just to give the like the feeling that there's growth,

901
00:44:42,600 --> 00:44:45,359
Speaker 5: but not offering a product that actually drives it and

902
00:44:45,440 --> 00:44:48,000
Speaker 5: the and people are investing more and more but into

903
00:44:48,080 --> 00:44:51,239
Speaker 5: something that like doesn't exist. What does it look like

904
00:44:51,480 --> 00:44:55,640
Speaker 5: when it, like the market corrects or the bubble pops

905
00:44:55,840 --> 00:44:57,680
Speaker 5: or will it or they're so deep in it, like

906
00:44:57,760 --> 00:44:59,879
Speaker 5: because I'm trying to like, what does that reckoning look

907
00:44:59,920 --> 00:45:02,040
Speaker 5: like for people selling you on musk and things like

908
00:45:02,080 --> 00:45:03,959
Speaker 5: that musk less.

909
00:45:04,000 --> 00:45:07,040
Speaker 4: So though I think Twitter at some point will have

910
00:45:07,120 --> 00:45:10,760
Speaker 4: a reckoning, I think it is inevitable that this company

911
00:45:10,800 --> 00:45:13,080
Speaker 4: burns more money than it makes and also with the

912
00:45:13,080 --> 00:45:15,239
Speaker 4: fact that Elon now has to replace multiple members of

913
00:45:15,239 --> 00:45:18,680
Speaker 4: the board of Tesla, right, But the thing that I

914
00:45:18,719 --> 00:45:21,200
Speaker 4: think is going to be the reckoning is artificial intelligence,

915
00:45:21,239 --> 00:45:23,920
Speaker 4: because right now they're trying to put generative AI into everything,

916
00:45:23,920 --> 00:45:27,200
Speaker 4: a product that no one really knows the reason why

917
00:45:27,200 --> 00:45:29,799
Speaker 4: it exists, but they're putting it into everything. And the

918
00:45:29,840 --> 00:45:34,040
Speaker 4: way that this is growing revenue is Microsoft invested in

919
00:45:34,080 --> 00:45:37,000
Speaker 4: open ai and Google invested in Anthropic, the two largest

920
00:45:37,000 --> 00:45:40,200
Speaker 4: model companies, So that's guaranteed revenue those companies have to

921
00:45:40,320 --> 00:45:44,200
Speaker 4: use them now bookable cloud revenue. As the AI industry grows,

922
00:45:44,520 --> 00:45:49,400
Speaker 4: so does their revenue. Guaranteed No antitrust law to stop

923
00:45:49,440 --> 00:45:52,200
Speaker 4: them from literally just investing in a company that would

924
00:45:52,239 --> 00:45:54,319
Speaker 4: then invest the money that they just invested back in

925
00:45:54,320 --> 00:45:57,200
Speaker 4: the company. It's a horrible circle. The reason that I

926
00:45:57,200 --> 00:45:59,920
Speaker 4: think this might fall apart is because they're also scaling

927
00:46:00,080 --> 00:46:03,560
Speaker 4: up their data centers to match this demand. Because AI

928
00:46:03,680 --> 00:46:08,440
Speaker 4: is extremely compute, sent demanding. It's extremely demanding. You cannot

929
00:46:08,480 --> 00:46:10,120
Speaker 4: just run it on your computer at home. You need

930
00:46:10,160 --> 00:46:12,239
Speaker 4: specialized jeps, and you need a lot of them. And

931
00:46:12,320 --> 00:46:15,840
Speaker 4: so as they massively scale this system that's deeply unprofitable.

932
00:46:16,239 --> 00:46:18,400
Speaker 4: Eventually people are just going to not use it if

933
00:46:18,440 --> 00:46:22,000
Speaker 4: it's not useful, if it really isn't actually useful, So

934
00:46:22,000 --> 00:46:24,080
Speaker 4: suddenly you're going to have companies like Microsoft and Google

935
00:46:24,120 --> 00:46:27,279
Speaker 4: that invested billions and billions of dollars and hectares of

936
00:46:28,040 --> 00:46:30,520
Speaker 4: real estate for data centers, and they're going to find

937
00:46:30,560 --> 00:46:32,959
Speaker 4: themselves with their dicks out. They're gonna be like, oh shit,

938
00:46:33,120 --> 00:46:35,480
Speaker 4: we put all this money into something that no one wants.

939
00:46:36,120 --> 00:46:39,160
Speaker 4: I think that will have a severe enough correction that

940
00:46:39,239 --> 00:46:42,720
Speaker 4: things will get slightly back on track or it destroys

941
00:46:42,760 --> 00:46:45,360
Speaker 4: the entire tech ecosystem for a few years and everything's

942
00:46:45,440 --> 00:46:46,120
Speaker 4: kind of screwed.

943
00:46:48,040 --> 00:46:48,960
Speaker 1: There's a big.

944
00:46:48,840 --> 00:46:52,920
Speaker 4: Chance of that because this stuff doesn't make any money.

945
00:46:52,960 --> 00:46:56,520
Speaker 4: None of these things are profitable, none of them, not

946
00:46:56,840 --> 00:47:01,560
Speaker 4: one of them. And if users stop using it, even

947
00:47:01,600 --> 00:47:05,719
Speaker 4: if they're forced to, what's left all of this real estate,

948
00:47:05,800 --> 00:47:08,399
Speaker 4: all of these data centers in videos market cap? Where

949
00:47:08,400 --> 00:47:10,600
Speaker 4: the hell does all this money go? It doesn't go anywhere.

950
00:47:10,719 --> 00:47:13,880
Speaker 4: It will affect the tech industry and it will be bad.

951
00:47:14,560 --> 00:47:16,560
Speaker 4: And I think people are laughing. People are kind of

952
00:47:16,600 --> 00:47:20,799
Speaker 4: done with generative AI already. Like a regular person does

953
00:47:20,840 --> 00:47:24,120
Speaker 4: not know why they need. Chad gbt the seven million

954
00:47:24,160 --> 00:47:27,719
Speaker 4: dollar Super Bowl commercial for Microsoft's co Pilot AI. They

955
00:47:27,880 --> 00:47:29,319
Speaker 4: had a thing in there where it's like do me.

956
00:47:29,360 --> 00:47:32,799
Speaker 4: A logo of a classic truck, Mike's truck. If you

957
00:47:32,880 --> 00:47:36,680
Speaker 4: actually type that into Chat, into Microsoft Copilot and Chat

958
00:47:36,719 --> 00:47:38,120
Speaker 4: GPT generative.

959
00:47:38,120 --> 00:47:39,959
Speaker 1: AI can't do letters, right.

960
00:47:39,960 --> 00:47:41,719
Speaker 4: It can't do letters, So it's like massa but it

961
00:47:41,760 --> 00:47:45,120
Speaker 4: looks like Athulu. Yeah, and there's another thing and there's

962
00:47:45,120 --> 00:47:46,640
Speaker 4: another thing in there where they're like, oh, do the

963
00:47:46,640 --> 00:47:50,040
Speaker 4: code for my open world game. These aren't ideas. No

964
00:47:50,160 --> 00:47:52,920
Speaker 4: one's doing this. These aren't normal people things that people.

965
00:47:53,080 --> 00:47:54,799
Speaker 4: No one saw that and was like, wow, I can

966
00:47:54,840 --> 00:47:57,560
Speaker 4: now make an open world game. No one's that fucking stupid,

967
00:47:58,280 --> 00:47:59,840
Speaker 4: or at least if they are, they'll do it and

968
00:47:59,840 --> 00:48:00,960
Speaker 4: then nothing won't happen.

969
00:48:01,640 --> 00:48:04,879
Speaker 1: So I remember this one story where I was like,

970
00:48:04,880 --> 00:48:07,480
Speaker 1: like I talked to somebody who's familiar with Marcus was

971
00:48:07,560 --> 00:48:11,840
Speaker 1: like so much of like the market growth I forget

972
00:48:11,840 --> 00:48:13,920
Speaker 1: what year it was, but was like propped up by

973
00:48:13,960 --> 00:48:16,680
Speaker 1: AI stuff, and so I was like looking, I was like,

974
00:48:16,719 --> 00:48:18,799
Speaker 1: so what does that mean? Because nobody really knows what

975
00:48:18,840 --> 00:48:20,759
Speaker 1: AI is. How is it being propped up? Like how

976
00:48:21,360 --> 00:48:25,839
Speaker 1: how is that translating to value? And like one of

977
00:48:25,920 --> 00:48:29,840
Speaker 1: the metrics that they were using was like all about

978
00:48:29,880 --> 00:48:33,160
Speaker 1: a user adoption of chat GPT and how it was

979
00:48:33,200 --> 00:48:36,960
Speaker 1: like the fastest adoption, like faster than TikTok, faster than

980
00:48:37,000 --> 00:48:40,560
Speaker 1: any social media up to this point. And it turned

981
00:48:40,600 --> 00:48:43,239
Speaker 1: out to be bullshit, Like it was internal numbers that

982
00:48:43,280 --> 00:48:47,719
Speaker 1: were bullshit that they were lying about. But the thing

983
00:48:47,800 --> 00:48:51,120
Speaker 1: that was exciting and that got people excited enough to

984
00:48:51,160 --> 00:48:54,600
Speaker 1: like invest money was the lie. And so that's still

985
00:48:54,680 --> 00:48:57,520
Speaker 1: the thing that just lasts like it really feels like

986
00:48:58,200 --> 00:49:02,840
Speaker 1: in addition to you know, so the them being the

987
00:49:02,920 --> 00:49:06,920
Speaker 1: input of information coming from the investors, like they're also

988
00:49:07,040 --> 00:49:11,439
Speaker 1: controlling it so that no bad news gets circled into

989
00:49:11,480 --> 00:49:16,200
Speaker 1: that system. And it's just this like bullshit economy that

990
00:49:16,440 --> 00:49:19,680
Speaker 1: just like cycles back and forth in the top and

991
00:49:19,760 --> 00:49:23,160
Speaker 1: like won't it won't allow that input of information that

992
00:49:23,239 --> 00:49:25,520
Speaker 1: all of this is bullshit, and then people aren't using it.

993
00:49:25,600 --> 00:49:30,360
Speaker 4: Really, what's going to happen is this push, this big

994
00:49:30,440 --> 00:49:33,439
Speaker 4: lie that you're correct about, by the way, is going

995
00:49:33,480 --> 00:49:36,399
Speaker 4: to have something bad happened as a result of it.

996
00:49:37,120 --> 00:49:39,960
Speaker 4: If you remember, back in twenty twelve, Night Capital, Night

997
00:49:40,000 --> 00:49:42,800
Speaker 4: Capital was a hedge fund that, due to an incorrectly

998
00:49:42,840 --> 00:49:46,680
Speaker 4: installed algorithm, invested billions of dollars in stocks it could

999
00:49:46,680 --> 00:49:48,520
Speaker 4: not afford. It lost them about four hundred and ten

1000
00:49:48,600 --> 00:49:51,319
Speaker 4: million dollars they ended up having to sell for parts.

1001
00:49:51,520 --> 00:49:55,320
Speaker 4: Yeah something like that. Yeah, well it wasn't even fooling

1002
00:49:55,360 --> 00:49:57,960
Speaker 4: the people. It was just it never stopped buying. That

1003
00:49:58,080 --> 00:50:00,920
Speaker 4: was It's a quite complex thing, but the algorithm was off,

1004
00:50:00,960 --> 00:50:03,000
Speaker 4: so it didn't have appointment. It stopped buying stocks. It

1005
00:50:03,080 --> 00:50:06,200
Speaker 4: just bought way too much. Haven't we all been there?

1006
00:50:06,560 --> 00:50:10,919
Speaker 1: But something like yesterday, I'm feel sick.

1007
00:50:11,680 --> 00:50:15,320
Speaker 4: Something like that is going to happen though. And Gemini,

1008
00:50:15,560 --> 00:50:19,120
Speaker 4: which is Google's generative AI, they had a big problem

1009
00:50:19,160 --> 00:50:21,880
Speaker 4: where you typed in what do the founding fathers look like?

1010
00:50:21,920 --> 00:50:24,320
Speaker 4: And it generated a black guy, a black like the

1011
00:50:24,680 --> 00:50:27,799
Speaker 4: concept of like a Chinese George Washington is terrifying to

1012
00:50:27,880 --> 00:50:32,160
Speaker 4: be these woke, like anti woke guys. But that was

1013
00:50:32,200 --> 00:50:34,640
Speaker 4: actually significant enough that summed up a shy The ceear

1014
00:50:34,680 --> 00:50:37,279
Speaker 4: of Google had to say something about it. I think

1015
00:50:37,320 --> 00:50:40,240
Speaker 4: something bigger and worse happens with someone who adopts generative

1016
00:50:40,280 --> 00:50:44,080
Speaker 4: AI that destroys a company. I think it it does

1017
00:50:44,120 --> 00:50:49,279
Speaker 4: something so significant that that scares the market. Because there

1018
00:50:49,320 --> 00:50:51,120
Speaker 4: was a Wall Street Journal story a few weeks ago

1019
00:50:51,120 --> 00:50:54,160
Speaker 4: where they were saying, anthropic and open AI, we're having

1020
00:50:54,160 --> 00:50:58,040
Speaker 4: trouble selling their stuff because of the hallucinations, because these

1021
00:50:58,080 --> 00:51:01,560
Speaker 4: mistakes it was making. And in the article it's great.

1022
00:51:01,560 --> 00:51:03,239
Speaker 4: You can see the journalists trying to be like, so,

1023
00:51:03,280 --> 00:51:04,640
Speaker 4: how are they going to fix this? And the quotes

1024
00:51:04,680 --> 00:51:07,280
Speaker 4: were like, well, at one point, we'll tell the model

1025
00:51:08,400 --> 00:51:10,759
Speaker 4: to not say anything if it doesn't know for sure.

1026
00:51:11,200 --> 00:51:13,520
Speaker 4: And then the next thing was someone saying yeah, but

1027
00:51:13,560 --> 00:51:17,040
Speaker 4: the problem is if you tell an ai that sometimes

1028
00:51:17,040 --> 00:51:19,080
Speaker 4: it will just stop answering at all. Go no, mate,

1029
00:51:19,120 --> 00:51:22,040
Speaker 4: I don't trust myself right now. It's like taking someone's

1030
00:51:22,080 --> 00:51:26,160
Speaker 4: keys away when they've been drinking. But that's the thing.

1031
00:51:26,480 --> 00:51:29,440
Speaker 4: At some point people are going to notice this doesn't

1032
00:51:29,440 --> 00:51:31,880
Speaker 4: do anything. This is not they want this to be

1033
00:51:31,960 --> 00:51:34,680
Speaker 4: the next there's a phraser. No one ever gets fired

1034
00:51:34,719 --> 00:51:37,840
Speaker 4: for buying IBM, right. They want this to be that,

1035
00:51:38,280 --> 00:51:41,319
Speaker 4: but it isn't useful, and every person who's a big

1036
00:51:41,360 --> 00:51:42,960
Speaker 4: fan of it it's like, well it will be And

1037
00:51:42,960 --> 00:51:44,919
Speaker 4: then you ask how and they're like, I am really sorry.

1038
00:51:44,920 --> 00:51:46,799
Speaker 4: I got to take a phone call. I'll be back

1039
00:51:46,800 --> 00:51:49,400
Speaker 4: in three hours. Please don't wait here. I do not

1040
00:51:49,520 --> 00:51:52,880
Speaker 4: have an answer. And it's just I also think that

1041
00:51:52,920 --> 00:51:55,879
Speaker 4: this is overwhelmingly this kind of stuff is becoming more

1042
00:51:55,920 --> 00:51:58,640
Speaker 4: and more obvious for the regular people, and they're going

1043
00:51:58,680 --> 00:52:00,680
Speaker 4: to get angry I'm about it.

1044
00:52:00,880 --> 00:52:03,719
Speaker 1: Yeah, No, I think everybody should be angry about it.

1045
00:52:03,840 --> 00:52:06,440
Speaker 1: I just don't know, like it feels like they have

1046
00:52:06,640 --> 00:52:11,520
Speaker 1: built this system to insulate them from our anger at

1047
00:52:11,520 --> 00:52:15,520
Speaker 1: this point, and at a certain point, I don't know

1048
00:52:15,560 --> 00:52:17,600
Speaker 1: what it looks like, what the what the event is

1049
00:52:17,920 --> 00:52:20,960
Speaker 1: that makes it so they can no longer ignore that anger,

1050
00:52:21,520 --> 00:52:26,000
Speaker 1: because yeah, I'm definitely a product of having grown up

1051
00:52:26,000 --> 00:52:29,560
Speaker 1: in this system, and you know, my first memory is

1052
00:52:29,600 --> 00:52:34,080
Speaker 1: being like Clintonian, you know, bullshit, and just like not

1053
00:52:34,200 --> 00:52:38,799
Speaker 1: being able to imagine something different. But something different is

1054
00:52:38,800 --> 00:52:39,760
Speaker 1: definitely coming.

1055
00:52:40,200 --> 00:52:42,520
Speaker 4: I think that it's just you're going to start seeing

1056
00:52:43,120 --> 00:52:47,320
Speaker 4: the Facebook advertising model breakdown. Yeah, online advertising is becoming

1057
00:52:47,400 --> 00:52:51,040
Speaker 4: less profitable and less useful. As though as that starts dying,

1058
00:52:51,040 --> 00:52:52,840
Speaker 4: the tech industry is going to realize that they've got

1059
00:52:52,880 --> 00:52:56,480
Speaker 4: a big problem. When when Meta's market cap goes down

1060
00:52:56,800 --> 00:53:00,000
Speaker 4: and when AI stops generating revenue, when it stops being

1061
00:53:00,040 --> 00:53:02,319
Speaker 4: the buzzy thing that you have to install, that you

1062
00:53:02,360 --> 00:53:04,279
Speaker 4: have to integrate even if you don't know what it does,

1063
00:53:04,560 --> 00:53:09,200
Speaker 4: what happens, then what's up? Mark Benioff every time, like

1064
00:53:09,239 --> 00:53:11,799
Speaker 4: I think at least once a year we'll say that

1065
00:53:11,840 --> 00:53:13,839
Speaker 4: Ai is now in Salesforce, and he has done so

1066
00:53:13,960 --> 00:53:17,319
Speaker 4: since like twenty sixteen. Every year, right, sales Sports claims

1067
00:53:17,320 --> 00:53:20,520
Speaker 4: that has Ai in it. It is just a giant cone.

1068
00:53:20,760 --> 00:53:22,759
Speaker 4: At times, it feels like that, and it feels like,

1069
00:53:23,320 --> 00:53:25,960
Speaker 4: I know it sounds a bit conspiratal, but it feels

1070
00:53:25,960 --> 00:53:27,840
Speaker 4: like they're laughing at us on some level.

1071
00:53:28,080 --> 00:53:30,640
Speaker 1: Yeah, well yeah, I feel like they're also scared, right,

1072
00:53:30,760 --> 00:53:34,720
Speaker 1: like they need to so they need to allow Google

1073
00:53:34,800 --> 00:53:38,520
Speaker 1: to become a monopoly and like you know, just abuse

1074
00:53:38,800 --> 00:53:42,080
Speaker 1: the smaller companies to remain profitable because Google is too

1075
00:53:42,080 --> 00:53:44,640
Speaker 1: big to fail because all of these companies are already

1076
00:53:44,960 --> 00:53:48,600
Speaker 1: like that lie that you're talking about, that like that

1077
00:53:48,680 --> 00:53:52,279
Speaker 1: crashes the economy, like and that is the thing that

1078
00:53:52,480 --> 00:53:55,839
Speaker 1: everybody's on the fucking it's resident down to, you know,

1079
00:53:56,440 --> 00:54:01,000
Speaker 1: the top point two percent of the enemy like can't

1080
00:54:01,040 --> 00:54:02,120
Speaker 1: allow to happen.

1081
00:54:02,560 --> 00:54:05,239
Speaker 4: But even then, Google doesn't need to operate like this.

1082
00:54:05,360 --> 00:54:08,319
Speaker 4: They make like ten billion dollars of profit quarter, right,

1083
00:54:08,719 --> 00:54:11,080
Speaker 4: they don't need to run like this. The economy doesn't

1084
00:54:11,120 --> 00:54:14,600
Speaker 4: have to run like this. Tech companies were plenty profitable before,

1085
00:54:15,480 --> 00:54:17,160
Speaker 4: and there are ways to do that.

1086
00:54:17,360 --> 00:54:17,680
Speaker 1: Uber.

1087
00:54:18,160 --> 00:54:20,680
Speaker 4: The thing that really frustrates me about Uber is had

1088
00:54:20,760 --> 00:54:24,080
Speaker 4: Uber been done slightly differently and much slower, it could

1089
00:54:24,080 --> 00:54:26,439
Speaker 4: have been the single most disruptive and important tech company

1090
00:54:26,480 --> 00:54:29,359
Speaker 4: of all time. Had they done everything they did but

1091
00:54:29,560 --> 00:54:32,839
Speaker 4: made it so that this is the crazy thing. Had

1092
00:54:32,840 --> 00:54:36,759
Speaker 4: they done like labor rates baked into it would have

1093
00:54:36,760 --> 00:54:39,759
Speaker 4: made them less money, would have made them slow, Yeah,

1094
00:54:39,880 --> 00:54:42,279
Speaker 4: but just charge them charge people more. People would have

1095
00:54:42,320 --> 00:54:47,520
Speaker 4: paid more. You would have created a new class of employee. Yeah,

1096
00:54:47,760 --> 00:54:51,040
Speaker 4: one covered one protected a massive change in labor. That

1097
00:54:51,080 --> 00:54:53,440
Speaker 4: company would have been worth several trillion dollars just to

1098
00:54:53,480 --> 00:54:56,640
Speaker 4: be clear. Would have taken them twenty years to get there,

1099
00:54:56,719 --> 00:54:59,919
Speaker 4: but they would have been. Instead, we have this massively unprofitable,

1100
00:55:00,040 --> 00:55:03,360
Speaker 4: labor screwing piece of shit company that has the monopoly

1101
00:55:03,400 --> 00:55:06,480
Speaker 4: on cabs because cabs were built on another kind of

1102
00:55:06,520 --> 00:55:10,040
Speaker 4: exploitative system, the medallion system, right, right, And it's just

1103
00:55:11,680 --> 00:55:14,879
Speaker 4: things can change, And indeed I think they will through

1104
00:55:14,920 --> 00:55:19,120
Speaker 4: awareness alone, because when I did the first Rock Economy episode,

1105
00:55:19,239 --> 00:55:21,120
Speaker 4: I've got so many emails people being like, oh shit,

1106
00:55:21,200 --> 00:55:24,200
Speaker 4: I didn't know that. I feel that more people knowing

1107
00:55:24,320 --> 00:55:27,680
Speaker 4: will put that pressure around there, people will stop using

1108
00:55:27,719 --> 00:55:31,400
Speaker 4: these products, and as users stop being interested in like

1109
00:55:31,440 --> 00:55:33,680
Speaker 4: these dogshit products, things will change.

1110
00:55:34,239 --> 00:55:34,959
Speaker 1: Yeah.

1111
00:55:35,080 --> 00:55:37,680
Speaker 5: Yeah, it's just more about creating enough of the awareness

1112
00:55:37,680 --> 00:55:40,319
Speaker 5: around it, because I think most people get caught up

1113
00:55:40,320 --> 00:55:42,959
Speaker 5: in the razzle dazzle of it all. And you see,

1114
00:55:42,960 --> 00:55:45,120
Speaker 5: like even the people who you know, like it's like

1115
00:55:45,200 --> 00:55:48,279
Speaker 5: we're a country that's ran by older people who don't

1116
00:55:48,320 --> 00:55:51,719
Speaker 5: understand technology, so they're not with they're not understanding.

1117
00:55:51,320 --> 00:55:54,359
Speaker 1: What the borders should be or the guardrail should be.

1118
00:55:54,400 --> 00:55:57,000
Speaker 5: So that creates this environment for people to just completely

1119
00:55:57,080 --> 00:55:59,160
Speaker 5: shift the thinking to be like, rather than you know,

1120
00:55:59,200 --> 00:56:00,759
Speaker 5: like making a product, what we need to do is

1121
00:56:00,800 --> 00:56:03,400
Speaker 5: like sell one of those companies, because that's how people

1122
00:56:03,400 --> 00:56:05,799
Speaker 5: talk and it's not about making the thing. It's like, yo, man,

1123
00:56:05,800 --> 00:56:08,000
Speaker 5: we've got to create a company we can sell and

1124
00:56:08,040 --> 00:56:11,160
Speaker 5: that's just it. And because of that, there's no value

1125
00:56:11,160 --> 00:56:13,960
Speaker 5: in it. And it merely just becomes about the act

1126
00:56:14,200 --> 00:56:17,839
Speaker 5: of making said company and then flogging it to something and.

1127
00:56:17,760 --> 00:56:18,640
Speaker 1: I wore a ton of money.

1128
00:56:18,719 --> 00:56:20,239
Speaker 4: I will wrap it up because I know I've gone

1129
00:56:20,280 --> 00:56:22,480
Speaker 4: on and on about this, but the actual thing that I

1130
00:56:22,480 --> 00:56:25,560
Speaker 4: think this comes back to is a societal problem with

1131
00:56:25,640 --> 00:56:29,319
Speaker 4: the concept of business itself. I think that they we

1132
00:56:29,440 --> 00:56:32,440
Speaker 4: have lionized big companies over good companies.

1133
00:56:32,920 --> 00:56:33,520
Speaker 1: Yeah. Yeah.

1134
00:56:33,520 --> 00:56:36,040
Speaker 4: I run a small PR firm and I have and

1135
00:56:36,120 --> 00:56:38,040
Speaker 4: people for years like you need to scale, and I'm

1136
00:56:38,040 --> 00:56:41,080
Speaker 4: always up why and they're like, because that's what big

1137
00:56:41,120 --> 00:56:45,480
Speaker 4: good company is big. Yeah, it isn't a big We

1138
00:56:45,600 --> 00:56:49,480
Speaker 4: lionize managers and management. But I think especially the pandemic

1139
00:56:49,560 --> 00:56:53,560
Speaker 4: proof there it's very obvious that the managers and the CEOs.

1140
00:56:53,080 --> 00:56:54,680
Speaker 1: Don't do the work right.

1141
00:56:54,760 --> 00:56:57,640
Speaker 4: Yeah, and I think there is a labor awakening. It's slow,

1142
00:56:57,760 --> 00:57:01,040
Speaker 4: but it's happening that will change every step of everything.

1143
00:57:01,040 --> 00:57:04,040
Speaker 1: But talking about now, this whole conversation has been you know,

1144
00:57:04,120 --> 00:57:08,439
Speaker 1: having worked at and run Cracked back in the day

1145
00:57:08,640 --> 00:57:11,920
Speaker 1: and just you know, it started out as this website

1146
00:57:11,960 --> 00:57:14,239
Speaker 1: that had these really good articles because we had like

1147
00:57:14,320 --> 00:57:16,640
Speaker 1: a handful of really talented people, and we kept like

1148
00:57:16,680 --> 00:57:19,560
Speaker 1: bringing these talented people into focus on making the good product.

1149
00:57:19,960 --> 00:57:22,880
Speaker 1: But there was also these people who were like focused

1150
00:57:22,920 --> 00:57:26,560
Speaker 1: on doing the ads in the sidebar and like making

1151
00:57:26,560 --> 00:57:29,840
Speaker 1: those ads trick you into thinking you were clicking on content,

1152
00:57:30,520 --> 00:57:36,200
Speaker 1: and that is what the entire Internet became. Like the

1153
00:57:36,320 --> 00:57:40,200
Speaker 1: people who made the content got choked out and the

1154
00:57:40,280 --> 00:57:43,800
Speaker 1: people who do the sidebar fake ads that trick you

1155
00:57:43,840 --> 00:57:47,560
Speaker 1: into thinking you were clicking on content where you're actually

1156
00:57:47,600 --> 00:57:51,080
Speaker 1: clicking on something that is going to fuck your computer.

1157
00:57:51,360 --> 00:57:54,920
Speaker 4: And yeah, you know who got rich off of red

1158
00:57:55,080 --> 00:57:58,960
Speaker 4: end a community and Tiley might up have free contributions.

1159
00:57:59,000 --> 00:58:04,680
Speaker 4: Sam Oldman, right, he made four hundred. Yeah, like Dad

1160
00:58:04,880 --> 00:58:07,320
Speaker 4: is the guy, not the moderators, not the redditors who

1161
00:58:07,360 --> 00:58:10,720
Speaker 4: made the Internet better for their redditing. I guess you'd

1162
00:58:10,760 --> 00:58:14,160
Speaker 4: call that no, Sam Altman, a guy whose only role

1163
00:58:14,200 --> 00:58:17,000
Speaker 4: at that company was to put money in at one point.

1164
00:58:17,840 --> 00:58:19,959
Speaker 4: This is something that I feel like if more people

1165
00:58:20,000 --> 00:58:22,280
Speaker 4: are aware of, they will turn on the tech industry

1166
00:58:22,320 --> 00:58:24,160
Speaker 4: and they bloody well should Yeah.

1167
00:58:24,400 --> 00:58:28,800
Speaker 1: Absolutely all right, that's gonna do it for this week's

1168
00:58:29,040 --> 00:58:33,640
Speaker 1: weekly Zeitgeist. Please like and review the show if you like,

1169
00:58:33,920 --> 00:58:37,880
Speaker 1: The show means the world the miles he he needs

1170
00:58:37,880 --> 00:58:42,040
Speaker 1: your validation, folks. I hope you're having a great weekend

1171
00:58:42,280 --> 00:59:10,160
Speaker 1: and I will talk to you Monday. By nothing