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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.

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Speaker 1: Uh yeah, So, without further ado, here is the Weekly Zeitgeist. Anyways, Miles,

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Speaker 1: We're thrilled to be joined in our third seat by

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Speaker 1: one of our favorite guests. A brilliant writer, podcaster, producer

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Speaker 1: who's written for publications like The New York Times, The

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Speaker 1: New York Red, Bally Ledge Absolute Ledge leg my great

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Speaker 1: article in The New York Times about her legend and

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Speaker 1: her upcoming show. The producer on Everybody's Live with John Mulaney,

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Speaker 1: was the co host of the legendary leadcast Girls and

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Speaker 1: Hoodies and a Night Call. The writer, creator and host

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Speaker 1: of Heidi World, The Heidi Flight Story, and soon Jenna World.

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Speaker 1: Jenna Jamison's Rise The New York Times.

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Speaker 2: Reason.

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Speaker 1: New York Times article was about that upcoming podcast and

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Speaker 1: also Molly Lambert's Rise. Please welcome back to the show.

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Speaker 2: Molly Lambert.

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Speaker 3: Hello, Hello, Hello.

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Speaker 1: It's time.

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Speaker 2: It's time.

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Speaker 1: I feel like Molly.

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Speaker 2: Let's get ready to Lambert.

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Speaker 4: I was gonna do. Let's get ready to rapture.

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Speaker 2: Hell yeah, how are you feel about the rapture?

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Speaker 4: Pretty good? I mean that would be a great time

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Speaker 4: I think for for a reset.

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Speaker 1: Yeah yeah, yeah yeah yeah, just drop some drop some

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Speaker 1: dead weight, you know what I'm saying.

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Speaker 2: Yeah, yeah, see where it goes. See where the chips land.

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Speaker 1: Belated Russiashana to everyone, Happy New Year.

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Speaker 2: Yeah.

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Speaker 5: I was thinking about that piece that they covered you

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Speaker 5: in for the Jenna World thing, and how you went

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Speaker 5: to the old Vivid offices like off Kuwanga across from

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Speaker 5: then you sagned dealership that is now dead in a

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Speaker 5: skeleton graveyard, and I was just thinking of like how

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Speaker 5: often I would go to that bar next to the

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Speaker 5: Hollywood Ive thing.

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Speaker 2: The weird that building was so fucking weird where Vivid

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Speaker 2: Video used to be housed in that whole area.

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Speaker 6: It's like the liminal zone of Universal City. And it

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Speaker 6: used to be that you'd see the Vivid Entertainment sign

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Speaker 6: and that was like the sign you were entering the valley.

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Speaker 2: Yeah, when you heard that, I was like, Yep, that

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Speaker 2: feels right.

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Speaker 4: Now it's the Minion the Universal which also feels right.

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Speaker 2: Yeah, we've changed.

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Speaker 6: You see the Minion, Like you're like driving, you know,

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Speaker 6: out of the valley or into the valley.

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Speaker 2: It's just like, do you do your kids respond to

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Speaker 2: the minion jack? Do they have they have you taken

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Speaker 2: them to.

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Speaker 1: They've never been really, I mean, they love the millions,

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Speaker 1: but they've never been so impressed. I think I think

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Speaker 1: maybe once they saw it and they were like, oh yeah, minion,

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Speaker 1: But it's quickly become background noise because anytime you're driving

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Speaker 1: on the one oh one, like it's just up there.

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Speaker 4: Do you think the minions are mad about La Boo Boos'll.

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Speaker 1: Be mad about the way that I'm just mad about Saffron?

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Speaker 4: Yeah, like laboos are taking taking their spot?

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Speaker 1: Oh oh angry? Yeah, yeah, jealous maybe. I mean the

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Speaker 1: I would say like putting those two things together, that

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Speaker 1: that really highlights the strengths of the of the menion

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Speaker 1: over La Boo Boo being you know, lab Boo Boo

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Speaker 1: don't have doesn't have personality.

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Speaker 5: People are talking about how the there are people looking at

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Speaker 5: the markets and being like, I don't know, man, the

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Speaker 5: pop march stock is going up and down.

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Speaker 2: What does this mean? Does La Boo Boo demand waning?

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Speaker 4: It's like, yeah, there's gonna it's gonna crash. It's gonna crash.

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Speaker 2: You can somebody fucking la boo boos. You know what

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Speaker 2: I mean? Look that babies.

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Speaker 4: A non believer would say.

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Speaker 1: Exact yeah, I would say demons. I would say the

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Speaker 1: same sentence with just different emphasis. You can have so many.

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Speaker 5: Well, I'm so happy for you guys, because you'll be

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Speaker 5: able to have all the lab boo boos you want

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Speaker 5: once I get to go to heaven and you're left behind.

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Speaker 4: Ye, when Jack and I are living on the trash

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Speaker 4: island of.

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Speaker 1: With all all the laboo booths of all the people

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Speaker 1: got raptured, that would be funny if, like it turns out,

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Speaker 1: the criteria for rapture is just who have most laboo boots?

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Speaker 1: What can I say? I'm a band.

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Speaker 2: Sorry man, it was me Pezuzu the whole time.

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Speaker 1: Anyways, it's a great profile, some awesome pictures of the valley,

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Speaker 1: really good encapsulation of the Molly Lambert experience.

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Speaker 2: Mm HM is something from your search history that's revealing

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Speaker 2: about who you are or what you're into.

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Speaker 7: It's a perfect segue because normally Paulay I would do

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Speaker 7: something where I would say a YouTube video that I've

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Speaker 7: been listening to you watching too, it's.

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Speaker 3: Watching you already gave up music?

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Speaker 2: Can we reschedule?

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Speaker 7: No? But I this time, I'm going to talk about

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Speaker 7: my podcast, Colbrew Got Me. Like, so I did one

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Speaker 7: the other day and I noticed that, like they've started

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Speaker 7: doing these. I noticed it before, but I never really

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Speaker 7: read them. They started doing AI chapters on your podcast,

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Speaker 7: like against your Will on Spotify, Like like they they

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Speaker 7: AI will say what your podcast is about in chapters,

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Speaker 7: like like you know that aique listens to it and

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Speaker 7: then spits out these chapters right, And at first I

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Speaker 7: was I was just like I don't want that service,

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Speaker 7: but I don't think that it I can't find a

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Speaker 7: way to turn it off. But I also thought about

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Speaker 7: what it's for. It's like if I say I have

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Speaker 7: a podcast, like I'm going through customs or something, and

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Speaker 7: they're like, you have a podcast, we see what's it about,

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Speaker 7: you know? And it's like, oh, it's called Coldbrew Got Me,

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Speaker 7: Like it's just about funny stuff.

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Speaker 2: And they're like, okay, well talking about some pretty stuff.

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Speaker 2: We can just.

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Speaker 7: Refer to the fucking summary here. We don't have to

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Speaker 7: podcast liberal Chris.

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Speaker 3: Fucked your mom and a guys, like, what the fuck yeah.

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Speaker 7: So this this, this cold brew got me, Like podcast

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Speaker 7: sounds harmless, but it's really all about what we're facing today,

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Speaker 7: and so it's also sometimes you know, it's funny, but

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Speaker 7: it's it's it's kind of a serious podcast. But like, anyway,

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Speaker 7: I'm I just don't like the idea that AI can

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Speaker 7: tell these fools whether you're a liberal in two seconds,

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Speaker 7: or whether liberal I hate the word liberal, whether you're anti.

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Speaker 2: Fascist terrorist nowadays, I know, I know they can.

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Speaker 3: So can them to the club every non brown person.

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Speaker 7: So you can tell them so they can find out

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Speaker 7: if you're like, you know, they can find out other ways.

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Speaker 7: But anyway, listen to this summary of my podcast, and

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Speaker 7: also what's funny about it is this. First of all,

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Speaker 7: it's it's dystopian, but second of all, it's funny because

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Speaker 7: it makes my podcast sound so fucking depressing.

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Speaker 1: It's incredible.

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Speaker 7: Oh my god, so great. Greg was couldn't be on

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Speaker 7: the show. So this last one I did by myself. Okay,

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Speaker 7: the title of the podcast is Free Solo four The

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Speaker 7: Great Toaster Scam. So that's what you're missing. By the way,

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Speaker 7: if you're not listening to my podcast, find out what

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Speaker 7: that is. I would, I would assume you'd like to

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Speaker 7: know what free Solo four The Great Toaster Scam is about.

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Speaker 7: You should want to know, so anyway here you can

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Speaker 7: find out right here. Chapter one Capitalism's Toaster Scam and

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Speaker 7: New Beginnings. Chapter two, Sound Bath Tennessee and Capitalism's Mental Toll.

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Speaker 7: Chapter three, Unpacking the Charlie Kirk corporate clickbait phenomenon. Chapter four,

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Speaker 7: The Lonely Illusion of the American Dream.

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Speaker 3: Waitness is Fired Dude.

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Speaker 7: Chapter one, two, three, four, five, six, Recognizing Authoritarianism, Project

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Speaker 7: twenty twenty five and Wealth Concentration. Chapter seven. The Advice King,

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Speaker 7: Redefining Poor in America. Chapter eight, Living off twentieth century fumes.

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Speaker 7: Colon Global Corruption.

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Speaker 1: Chapter nine.

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Speaker 3: You're in a Louisiana prison.

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Speaker 7: I'm sorry, Oh my god, that's what I'm I just

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Speaker 7: think it's anyway that the rest of the rest.

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Speaker 3: Is also so we're delighted in the AI.

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Speaker 2: Some races, you know, you actually tell people you podcast

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Speaker 2: like out loud.

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Speaker 7: Well, I mean I don't. I don't go through customs

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Speaker 7: very much, so it's like usually harmless. I'm just telling

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Speaker 7: like people, you know.

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Speaker 3: Trying to get the podcast out there.

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Speaker 7: Yeah, you see I'm just telling like the people who

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Speaker 7: are like, you know, my ketamine, the people who are

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Speaker 7: giving me my ketemine, I tell them about my podcast

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Speaker 7: and they're like, we don't know.

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Speaker 2: I just say I tell people I sell bespoke guns

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Speaker 2: for dogs.

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Speaker 7: That's what you say.

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Speaker 2: Yeah, yeah, Like they're like, oh, these are like bespoke guns,

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Speaker 2: like pistols I create for dogs, so cute. Yeah, And

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Speaker 2: then they're like, Okay, great, that guy makes dog guns.

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Speaker 7: They don't have to say, all of you, I'm also

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Speaker 7: doing ketamine therapy, and so I like the same way

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Speaker 7: I promote when I was having panic attacks panic attacks

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Speaker 7: back in the nineties, and I'd get an ambulance ride

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Speaker 7: and I'd promote my CD to the ambulance guy.

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Speaker 8: Yeah, like promoted my stand us. One of my paramedics

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Speaker 8: follows me on Instagram.

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Speaker 7: Yes, that's exactly right. And that's that's where people who

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Speaker 7: are like, yeah, like who are the true artists? Are

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Speaker 7: outside the system promoting their ship to medical providers.

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Speaker 2: Right right, right, And that's the audience you gotta tap man.

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Speaker 7: One physical therapist at a time. That's my model for fame.

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Speaker 2: Physical occupational therapist at the times read the word.

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Speaker 7: And I'm telling these people like physical therapists and like

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Speaker 7: ketamine administrators, they're all like nurse, I don't know how

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Speaker 7: to say it, like medical assistance and stuff. And they're

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Speaker 7: like they're just pretty square, you know a lot of

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Speaker 7: the time, especially in Tennessee. And so I try and

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Speaker 7: tell them about my podcast, and I just can't imagine

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Speaker 7: like them watching reading that summary and me trying to

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Speaker 7: tell them it's a fun podcast.

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Speaker 2: Right right right. They're like, it's super fun.

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Speaker 1: It's not.

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Speaker 7: I know, it sounds I know, the lonely illusion of

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Speaker 7: the American dream makes it sound depressing, but it's also

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Speaker 7: it's it's.

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Speaker 5: Such a universal experience you are having right now. So

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Speaker 5: you know, they'll probably hear.

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Speaker 2: And they're like, oh my god. I well, no, no,

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Speaker 2: I didn't think about this.

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Speaker 7: I recommend the podcast, even though you know, I do

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Speaker 7: admit that living off twentieth century fumes colon global corruption

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Speaker 7: doesn't sound that fun.

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Speaker 8: It is really relevant to physical therapist, So yeah, yeah, yeah, yeah.

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Speaker 7: So I tell people I have a podcast like that,

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Speaker 7: you know, you know, it's not helpful. Probably I don't

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Speaker 7: always tell them. I mean, it depends, like am I ketymine?

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Speaker 7: People I've been doing kenemine now for like six months,

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Speaker 7: so like I know those people pretty well. So then

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Speaker 7: eventually they just start asking what.

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Speaker 2: I yeah, right right right yeah.

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Speaker 7: And I'm also on a drug that makes me talk

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Speaker 7: because I'm high, you know, So I started telling them

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Speaker 7: all this stuff. That's how I started telling my guy

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Speaker 7: takes my blood pressure Xavier. I tell him, you know,

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Speaker 7: like He's like, what are you listening to it?

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Speaker 9: I'm like, okay, hippa, yeah, and I'll say John Denver

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Speaker 9: and he goes John Dunbar, miser, that is John Dunbar.

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Speaker 7: Yeah, he didn't know. You didn't also know. He's like,

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Speaker 7: I was like, you don't know John Denver is he's

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Speaker 7: like thirty years old. Yeah, a thirty year old black man.

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Speaker 7: He has no fucking idea.

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Speaker 2: He's like, no, I have no who who you know?

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Speaker 7: We have a good time, Like He'll been listening to

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Speaker 7: like the old white guy trying to tell him about John.

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Speaker 2: Denver, John Dunbar, Dude, I've John John Dunbar.

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Speaker 3: That is so funny.

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Speaker 1: What is something you think is overrated efficiency?

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Speaker 10: I think I spent a time, a lot of time

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Speaker 10: studying algorithms, studying how people optimize for things, and I

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Speaker 10: don't think that's where we find meaning and things like

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Speaker 10: uber eats, like delivering something straight to your doorstep. You

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Speaker 10: don't experience the friction that makes life feel worth living.

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Speaker 10: You don't bump into your friend in the street, you

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Speaker 10: don't interact with your local community. The efficiency of algorithms

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Speaker 10: and how everything is streamlined in society is kind of

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Speaker 10: boring to me.

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Speaker 5: Yeah, yeah, yeah, unless you're yeah, unless you hate running

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Speaker 5: into people you went to high school with in public

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Speaker 5: when you're high and you just want to get taco

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Speaker 5: bell just just quietly.

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Speaker 11: There's a time employece.

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Speaker 2: Yeah, yeah, yeah, yeah.

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Speaker 1: I always found people to be an impediment to the

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Speaker 1: efficiency of commerce, and so yeah, that's why I'm really

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Speaker 1: excited about this new direction that our society has taken.

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Speaker 1: This This actually gets to kind of my first question

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Speaker 1: for you is just, you know, the difference between I

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Speaker 1: feel like you did a post on like quant speak

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Speaker 1: and like how the the language of efficiency is sort

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Speaker 1: of bleeding in. Like I one example that I've noticed,

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Speaker 1: I don't know if this would be categorized the same

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Speaker 1: in yearbook, but like the phrase replacement level is the

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Speaker 1: thing that I've like from the world of sports analytics,

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Speaker 1: which is just like yeah, they're like an average player,

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Speaker 1: but it like adds this sort of dark fascist like

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Speaker 1: Thomas the tank engine thing, where like everybody is just

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Speaker 1: replaceable in your changeablities. Yeah, people as commodities. Like so

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Speaker 1: I do I notice that as a as a newish

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Speaker 1: trend sort of vying with the more broad trends of

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Speaker 1: like language. It seems too historically and even modern like

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Speaker 1: today feel it's like a democratic phenomenon. It's like not

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Speaker 1: top down and it's you know, it comes from like

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Speaker 1: teenagers or like frequently persecuted minority groups, and like it's

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Speaker 1: a way for people without officially sanctioned power to like

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Speaker 1: weird wield their creativity and like power, which is I think,

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Speaker 1: I think beautiful. And that's what you see with a

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Speaker 1: lot of these linguistic trends that scare people online. But

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Speaker 1: then yeah, I do. I do see also, you know,

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Speaker 1: whether it be the world of like you know, like

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Speaker 1: analytics people are stat people, or just like corp the

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Speaker 1: corporate world, you know, creating these new phrases. I feel

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Speaker 1: like that's sort of an interest like dark and light

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Speaker 1: side battle that we see in linguistics happening all the time.

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Speaker 1: Do you think about it that way at all?

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Speaker 10: That's so interesting, you know, I think there's each community

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Speaker 10: always finds the best way to speak for that community,

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Speaker 10: and it changes as the vibe changes. Again, I think

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Speaker 10: the vibe is important here. It's very probably true that

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Speaker 10: since the moneyball era started, the sports language has gotten

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Speaker 10: more about like quantifying things, and you're talking more about

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Speaker 10: things like RBIs than you used to. Probably people care

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Speaker 10: about stats a lot more. I think as communities have

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Speaker 10: shared values, language emerges to reflect those values. So the

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Speaker 10: video you were referencing was about how math nerds and

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Speaker 10: cs people kind of find streamline optimized ways of communicating.

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Speaker 10: I think that's definitely true, because their goal is to

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Speaker 10: find efficient ways, maybe mathematically, to express things. Same things

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Speaker 10: happening with middle schoolers, right. Middle schoolers are just vibing

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Speaker 10: in that they are using language to connect with other

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Speaker 10: middle schoolers, to differentiate their identity from adults. And that

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Speaker 10: distinction between top down and bottom up is kind of

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Speaker 10: constant that we always impose like a layer, like through

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Speaker 10: dictionaries or through formal rules of what language is supposed

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Speaker 10: to be. But then in reality that doesn't fit onto everybody,

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Speaker 10: and then different communities find their own ways of expressing

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Speaker 10: themselves rightly.

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Speaker 2: Gaylyn, what's someone you think is overrated? I'm sorry, Lauren,

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Speaker 2: I'm so sorry.

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Speaker 12: I'm Lauren d Titanic now and forever. Something that's overrated

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Speaker 12: is American cheese. And what I'm also mean by this

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Speaker 12: is I don't think people are out here being like

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Speaker 12: American cheese is awesome, So I don't think it's overrated

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Speaker 12: in that sense, but the fact that it exists at

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Speaker 12: all is a travesty. That is, it is the most

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Speaker 12: disgusting shit I've ever had. I don't know why. It's

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Speaker 12: an option. You go to places and it's like, oh,

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Speaker 12: do you want your omelet with American cheese?

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Speaker 2: Oh?

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Speaker 12: You want American cheese on your burger?

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Speaker 2: Please?

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Speaker 8: No?

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Speaker 12: Why is it there? It tastes like plastic. It's horrible,

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Speaker 12: It's disgusting. It's just like a slab of like yucky salt,

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Speaker 12: like congealed oiled and like it's It makes.

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Speaker 8: Me feel better about vegan cheese because I'm like, it's cardboard.

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Speaker 8: I'm eating microplastics, So this makes me feel a little

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Speaker 8: bit better that than American cheese are both bad.

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Speaker 12: I would hazard to guess that every vegan cheese is

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Speaker 12: better than America, like traditional American American.

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Speaker 2: I've had a few.

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Speaker 5: Look, American cheese has like the superior melt, you know,

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Speaker 5: because it's just like a big little flap of melty ship.

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Speaker 2: But like, yeah, the flavors is not there. It's more

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Speaker 2: of a texture than like a flavor to me.

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Speaker 12: But the flavor that is there is disgusting. I hate it.

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Speaker 2: I guess if you eat like a straight up raw,

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Speaker 2: I call it raw, you're.

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Speaker 12: Raw dogging American.

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Speaker 2: Because normally I like to do it safe. I eat

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Speaker 2: it with the plastic sleeve on.

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Speaker 5: But if you eat it raw and you take the

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Speaker 5: slice out of the plastic sleep, yeah, that's a different experience.

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Speaker 3: Then you do not ask to eat it raw.

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Speaker 2: Okay, don't be weird about American.

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Speaker 3: Having this single slice crafty.

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Speaker 5: I was in the GQ man etiquette list. Okay, the

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Speaker 5: only you can't even eat American cheese wrong.

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Speaker 2: Please be safe.

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Speaker 8: A woman won't even let you eat American wrong anymore.

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Speaker 3: What is this country coming to? With gloves?

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Speaker 1: Now?

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Speaker 3: What's going on?

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Speaker 5: Hugged with Gloves It's my new blog, hug with gloves

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Speaker 5: with gloves.

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Speaker 2: Yeah, it's amazing. We're getting a lot of traffic actually

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Speaker 2: right now.

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Speaker 5: But yeah, American cheese, I think it's the only time

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Speaker 5: trying to even think, like I just tolerate it, like

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Speaker 5: and fast food, just because I'm like, great, it's that texture,

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Speaker 5: but buying it no, Like, even if I make grilled

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Speaker 5: cheese melts easier, it's better with other cheese.

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Speaker 1: You just gotta know how to go grilled cheese.

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Speaker 12: Some Havardi or something like, oh yeah.

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Speaker 3: Like, have you heard of any other cheese?

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Speaker 5: Okay, somebody stop back from thirty two windsor lane or

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Speaker 5: windsor gardens or whatever.

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Speaker 12: And if you add some marmalade to your grilled cheese.

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Speaker 2: And you dress like a little bear.

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Speaker 8: Marmalade like a big aspect of your diary.

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Speaker 2: Lag and wearing tabble coats.

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Speaker 12: You know what happened One time for my birthday, someone

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Speaker 12: knowing that I love Paddington, gave me like six jars

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Speaker 12: of marmalade. And that's a nice gesture, and that's the

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Speaker 12: thought that counts. But I don't actually like marmalade, So

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Speaker 12: I just have like six jars of this condiment that

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Speaker 12: I don't know how to eat really or like yeah, you.

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Speaker 3: Need it with the jar because you're not raw dogging.

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Speaker 2: Glass.

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Speaker 12: So I made like a marmalade cake that was like

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Speaker 12: horribly executed.

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Speaker 3: You do you bake?

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Speaker 12: Not really, I don't. I don't cook or bake in general.

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Speaker 3: Let me do two things that I'm unfamiliar with and.

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Speaker 5: Maybe it will turn out fine to work, but also

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Speaker 5: just shows how expendable the marmalade is.

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Speaker 2: Like fuck it, I'll take a punt on baking this

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Speaker 2: cake or whatever.

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Speaker 12: Yeah, yeah, I did throw a lot of it away.

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Speaker 5: Well ie opening, eye opening, y'all. Venmo, Lauren dy Titanic, let's.

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Speaker 12: Get Yeah, I gotta go to London and Lauren to London.

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Speaker 2: The Lauren to London campaign has half begun because I

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Speaker 2: just want to live vicariously through someone who like loves

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Speaker 2: a thing.

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Speaker 3: You can't be the girl who didn't go to London?

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Speaker 3: Is that a reference you guys get or no?

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Speaker 1: No?

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Speaker 8: What is that from the OC or like the Hills

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Speaker 8: or whatever?

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Speaker 3: What is it that reality show where that she.

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Speaker 8: She didn't she stayed instead of going with a boy,

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Speaker 8: instead of following her fashion job.

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Speaker 2: Oh that was probably that was probably the Hills, The Hills. Yeah, yeah, yeah,

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Speaker 2: Kristin Cavalaria.

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Speaker 3: I think it was Lauren Conrad. That's what I was

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Speaker 3: thinking about.

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Speaker 2: Lauren now making great children's clothing. I might really no hasht.

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Speaker 5: Rate, no promo, but someone someone after the fire, someone

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Speaker 5: donated some baby clothes to us.

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Speaker 2: That was That was elt Lauren Conrad Ronde, Kay LC,

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Speaker 2: I'll be seeing you later. All right, let's take a

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Speaker 2: quick break. We'll be right back and you know, news

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Speaker 2: after this.

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Speaker 1: And we're back. We're back and yeah. So first of all,

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Speaker 1: I think like this seems like a great corner. I

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Speaker 1: just want to congratulate you, like just such a good time,

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Speaker 1: such a wealth of material. It's like, you know, you're

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Speaker 1: trying to study a culture, like it's just like the

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Speaker 1: Internet is like a real time live like GG where

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Speaker 1: you can just like watch all of the things happening,

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Speaker 1: all of the different tools being used by the culture

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Speaker 1: that you're studying.

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Speaker 3: There.

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Speaker 1: There's definitely, as Miles you alluded to, like there we

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Speaker 1: see a lot of stories about education sliding in the

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Speaker 1: United States and that being associated with how people use

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Speaker 1: language or just like I get I guess everything just

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Speaker 1: gets associated with like well this this generation is bad. Yeah,

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Speaker 1: just look at them. But I don't know, I feel

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Speaker 1: like that's a time honor tradition that happens with every

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Speaker 1: every generation, but this generation is particularly screwed, but not

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Speaker 1: not because of Italian brain rot.

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Speaker 5: I would say, yeah, well, I think just to like

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Speaker 5: preface all that, like there's this, you know, the group

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Speaker 5: that comes out like with the Nation's report Card, Like

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Speaker 5: if you know the Nation's report Card dot gov, which

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Speaker 5: is like a congressional you know, congressionally funded thing where

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Speaker 5: they assess just sort of like what the educational system

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Speaker 5: is like and how students are performing.

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Speaker 2: Like the most recent one was pretty bleak.

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Speaker 5: They're basically saying like twelfth graders have like they are

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Speaker 5: reading at their lowest level since this even process began

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Speaker 5: of assessings in nineteen ninety two, and the math scores

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Speaker 5: are as as the lowest they've been in twenty years.

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Speaker 5: And I think, you know, a lot of people want

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Speaker 5: to point to different things. They'll be like, well, it's

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Speaker 5: the pandemic lockdowns, or it's social media, or it's the

439
00:22:06,400 --> 00:22:10,720
Speaker 5: dang fucking skibbitty toilet nonsense that's doing it all. But again,

440
00:22:10,760 --> 00:22:13,440
Speaker 5: we've seen these trends sort of they predate COVID and

441
00:22:13,480 --> 00:22:15,400
Speaker 5: a lot of these other things because I think, you know,

442
00:22:15,480 --> 00:22:19,840
Speaker 5: there's been a systematic defunding of public education and now

443
00:22:19,840 --> 00:22:23,679
Speaker 5: we have like a literal villain from entertainment wrestling who

444
00:22:23,760 --> 00:22:26,159
Speaker 5: doesn't know AI from a one stake sauce sort of

445
00:22:26,200 --> 00:22:29,160
Speaker 5: at the wheel. So don't see much happening to that trend.

446
00:22:29,200 --> 00:22:33,199
Speaker 5: But I think again, there's like this a cycle, but

447
00:22:33,359 --> 00:22:35,240
Speaker 5: right now it does kind of fit with a sort

448
00:22:35,240 --> 00:22:40,439
Speaker 5: of bleak assessment that, yes, while our education system is

449
00:22:41,160 --> 00:22:44,240
Speaker 5: in a pretty dark era right now, it's not always

450
00:22:44,320 --> 00:22:46,280
Speaker 5: like this thing to lay at the feet of just

451
00:22:46,320 --> 00:22:48,360
Speaker 5: basic like and that's why they talk in this way

452
00:22:48,359 --> 00:22:50,919
Speaker 5: where I don't understand the words. Back when I was

453
00:22:51,200 --> 00:22:54,679
Speaker 5: working at the Triangle Shape shirtwaist factory, we weren't talking

454
00:22:54,760 --> 00:22:54,960
Speaker 5: like that.

455
00:22:56,119 --> 00:22:58,680
Speaker 10: Maybe one of my hottest takes is that literacy is

456
00:22:58,720 --> 00:22:59,840
Speaker 10: a little bit of a construct.

457
00:23:00,040 --> 00:23:00,480
Speaker 11: Yeah, I think it.

458
00:23:00,680 --> 00:23:02,680
Speaker 10: To be clear, I think it's incredibly important we should

459
00:23:02,720 --> 00:23:05,880
Speaker 10: have incredible literacy rates in math education and all that

460
00:23:05,960 --> 00:23:09,000
Speaker 10: really does matter, but also it's a metric of how

461
00:23:09,040 --> 00:23:12,159
Speaker 10: proficient we are in the medium of reading, which is

462
00:23:12,480 --> 00:23:15,000
Speaker 10: sort of, let's be really honest, with ourselves in a

463
00:23:15,000 --> 00:23:17,119
Speaker 10: cultural moment. It's sort of a dying medium, and we

464
00:23:17,240 --> 00:23:21,520
Speaker 10: also are facing and consuming content in other mediums like algorithms,

465
00:23:21,600 --> 00:23:26,000
Speaker 10: and I think these Skippity generation kids are more literate

466
00:23:26,080 --> 00:23:28,560
Speaker 10: in the algorithmic medium than a lot of boomers are.

467
00:23:28,880 --> 00:23:31,240
Speaker 10: They know like sort of oh, this looks AI generated,

468
00:23:31,240 --> 00:23:33,840
Speaker 10: and boomers are getting tricks by like Ai slop Jesus

469
00:23:33,840 --> 00:23:35,760
Speaker 10: shrimp on Facebook in twenty twenty two.

470
00:23:35,960 --> 00:23:37,119
Speaker 11: They don't know what's happening at all.

471
00:23:37,280 --> 00:23:39,719
Speaker 10: The boomers don't understand algorithms nearly as well as Jen

472
00:23:39,760 --> 00:23:41,960
Speaker 10: Alfa does. So I would say there's a high literacy

473
00:23:42,000 --> 00:23:44,560
Speaker 10: in a different medium because that medium is more president

474
00:23:44,600 --> 00:23:48,040
Speaker 10: our society. Unfortunately, that does mean a decreased maybe literacy,

475
00:23:48,119 --> 00:23:50,760
Speaker 10: and I think it is related. Because we're consuming algorithms,

476
00:23:51,000 --> 00:23:54,159
Speaker 10: we are less literal. I think that's probably true. But

477
00:23:54,240 --> 00:23:56,320
Speaker 10: it also has to do with the role of media

478
00:23:56,440 --> 00:23:59,159
Speaker 10: or society, and books shouldn't be the only paragon of

479
00:23:59,840 --> 00:24:02,800
Speaker 10: f pistemic wealth in our society. Of like information that

480
00:24:02,880 --> 00:24:05,399
Speaker 10: we are consuming, we should be literate in all forms

481
00:24:05,400 --> 00:24:07,639
Speaker 10: of media. So that means I literally think there should

482
00:24:07,640 --> 00:24:09,760
Speaker 10: be classes in how to look at TikTok and at

483
00:24:09,800 --> 00:24:11,560
Speaker 10: the same time there should be classes in how to

484
00:24:11,600 --> 00:24:13,800
Speaker 10: read books because of the more different types of information

485
00:24:13,880 --> 00:24:16,200
Speaker 10: we can consume, the better it is overall.

486
00:24:16,640 --> 00:24:19,960
Speaker 5: So are you necessarily saying like it's overblown that literis

487
00:24:20,040 --> 00:24:23,240
Speaker 5: like reading comprehensives, Like you're just saying there, maybe zoom

488
00:24:23,280 --> 00:24:24,399
Speaker 5: out a bit, because.

489
00:24:24,280 --> 00:24:26,360
Speaker 10: I don't want to say anything that could be construed

490
00:24:26,400 --> 00:24:28,400
Speaker 10: as I don't think it's important to read.

491
00:24:28,480 --> 00:24:28,919
Speaker 1: I think.

492
00:24:30,359 --> 00:24:33,040
Speaker 10: And I think we should really have good literacy rates,

493
00:24:33,040 --> 00:24:36,280
Speaker 10: but I think we should also be paying equal attention

494
00:24:36,600 --> 00:24:40,920
Speaker 10: to being literate in algorithms. And I think like media

495
00:24:40,960 --> 00:24:43,440
Speaker 10: literacy is something people talk about but as a buzzword,

496
00:24:43,520 --> 00:24:45,960
Speaker 10: and they don't really understand what that means to really

497
00:24:46,000 --> 00:24:49,199
Speaker 10: be fluent in what it means to engage online and

498
00:24:49,240 --> 00:24:52,200
Speaker 10: to go viral because there are so many like outside

499
00:24:52,240 --> 00:24:55,560
Speaker 10: forces manipulating our understanding of reality in the online space,

500
00:24:55,920 --> 00:25:00,639
Speaker 10: literal government psyops. There is just AI flood things. You

501
00:25:00,640 --> 00:25:02,800
Speaker 10: don't know what's real and what's not real, And it's

502
00:25:02,880 --> 00:25:06,880
Speaker 10: that kind of literacy where you can understand how to engage.

503
00:25:07,200 --> 00:25:10,720
Speaker 1: Right, So you're saying, just sorry not to take us back,

504
00:25:10,760 --> 00:25:13,280
Speaker 1: but you're saying that that Jesus made out of shrimp

505
00:25:13,400 --> 00:25:16,360
Speaker 1: was not real, That wasn't actually.

506
00:25:16,119 --> 00:25:19,080
Speaker 2: Just it looks just exactly like that looks so much.

507
00:25:19,359 --> 00:25:22,119
Speaker 10: I think whenever we talk about kids not being literate

508
00:25:22,160 --> 00:25:24,119
Speaker 10: in books, we should also be talking about boomers not

509
00:25:24,160 --> 00:25:25,720
Speaker 10: being literate on TikTok.

510
00:25:25,520 --> 00:25:32,160
Speaker 1: Yes yeah, or TikTok filtered down to Facebook, which rights,

511
00:25:32,200 --> 00:25:34,200
Speaker 1: which is like diluted TikTok slottery.

512
00:25:34,280 --> 00:25:36,399
Speaker 2: Yeah, yeah, yeah, yeah, some of the worst.

513
00:25:37,000 --> 00:25:41,439
Speaker 1: Yeah, I do. Like so, I feel like etymology sometimes

514
00:25:41,440 --> 00:25:45,280
Speaker 1: gives us these weird like windows into history speaking of boomers,

515
00:25:45,640 --> 00:25:49,320
Speaker 1: Like lately, I've been pointing out how dumb I feel

516
00:25:49,320 --> 00:25:53,440
Speaker 1: when I use the word movies ever since I realized

517
00:25:54,200 --> 00:25:57,199
Speaker 1: what that word like, the etymology of that. Like we

518
00:25:57,280 --> 00:26:01,440
Speaker 1: joke about people calling movies talkies because they're like, God damn,

519
00:26:01,480 --> 00:26:04,320
Speaker 1: that moving picture just talked, but not realizing the reason

520
00:26:04,320 --> 00:26:07,080
Speaker 1: we call them movies is because god damn that picture

521
00:26:07,200 --> 00:26:13,680
Speaker 1: just moved things moving kill it. Are there other words

522
00:26:13,760 --> 00:26:16,679
Speaker 1: like that where they like give you a portal into

523
00:26:16,840 --> 00:26:21,080
Speaker 1: just like how different people were, like either stupid or simpler,

524
00:26:21,160 --> 00:26:23,680
Speaker 1: or just like how different perception?

525
00:26:24,400 --> 00:26:27,840
Speaker 10: Yeah, well, I was just reflecting on Instagram reels, like

526
00:26:27,840 --> 00:26:30,960
Speaker 10: what's the real reel used? To be a film reel,

527
00:26:31,000 --> 00:26:33,639
Speaker 10: which was a literal like spool of film that was

528
00:26:33,760 --> 00:26:36,720
Speaker 10: reeled around like a fishing reel, and then that got

529
00:26:36,760 --> 00:26:39,040
Speaker 10: abstracted to the sense of this clip that you watch,

530
00:26:39,080 --> 00:26:41,760
Speaker 10: and then that got abstracted to the thing you scroll

531
00:26:41,800 --> 00:26:43,920
Speaker 10: on Instagram meals. And in fact, now that I just said,

532
00:26:43,920 --> 00:26:48,560
Speaker 10: the word scroll, scroll comes from unfurling like a scroll.

533
00:26:48,240 --> 00:26:48,800
Speaker 2: Like the field.

534
00:26:48,880 --> 00:26:56,160
Speaker 1: Like, that's still how I consume Instagram. But virus skull dry, Yeah,

535
00:26:56,440 --> 00:26:57,640
Speaker 1: use your wooden dowls.

536
00:26:58,119 --> 00:26:59,080
Speaker 2: What do we have today?

537
00:26:59,440 --> 00:27:00,000
Speaker 1: Yeah?

538
00:27:00,480 --> 00:27:05,159
Speaker 10: Or a podcast being iPod plus broadcast, broadcast being a

539
00:27:05,200 --> 00:27:08,760
Speaker 10: style of communication where you disseminate information like it used

540
00:27:08,800 --> 00:27:12,320
Speaker 10: to be broadcast seeding in agriculture, which is a style

541
00:27:12,359 --> 00:27:16,840
Speaker 10: of dispersing seeds. So like this agricultural metaphor goes all

542
00:27:16,880 --> 00:27:20,240
Speaker 10: the way back and influences the word podcast. I don't know,

543
00:27:20,280 --> 00:27:22,960
Speaker 10: turn up the volume. We don't often turn a knob

544
00:27:23,000 --> 00:27:24,880
Speaker 10: anymore or hang up the phone. I often don't hang

545
00:27:24,920 --> 00:27:25,560
Speaker 10: things anymore.

546
00:27:25,600 --> 00:27:25,760
Speaker 2: Like that.

547
00:27:26,119 --> 00:27:27,919
Speaker 10: We have these sort of vestiges in our language, And

548
00:27:27,920 --> 00:27:29,720
Speaker 10: that's kind of what's compelling to me about etomology that

549
00:27:29,720 --> 00:27:31,320
Speaker 10: it tells this story about who we were in the

550
00:27:31,359 --> 00:27:33,080
Speaker 10: past and how we've evolved as a culture.

551
00:27:33,560 --> 00:27:36,080
Speaker 1: Yeah, yeah, yeah. One thing, just going through some of

552
00:27:36,119 --> 00:27:38,760
Speaker 1: your posts on butterflies.

553
00:27:38,680 --> 00:27:40,600
Speaker 11: Let me stop you on the word post, Like why

554
00:27:40,640 --> 00:27:42,000
Speaker 11: do we call it a post? What's up with that?

555
00:27:42,000 --> 00:27:44,439
Speaker 11: It used to be like physically something was nailed to

556
00:27:44,520 --> 00:27:44,920
Speaker 11: a post.

557
00:27:45,040 --> 00:27:49,760
Speaker 1: Yeah, in the town I was just noticing. This actually

558
00:27:49,760 --> 00:27:54,320
Speaker 1: made me sad. I was noticing at my doctor's office,

559
00:27:54,359 --> 00:27:57,640
Speaker 1: like in the hospital, the waiting room they called the

560
00:27:57,800 --> 00:28:01,800
Speaker 1: town square because they're like trying to appropriate I guess

561
00:28:01,800 --> 00:28:06,000
Speaker 1: the language of community and stuff, which I feel like

562
00:28:06,240 --> 00:28:09,879
Speaker 1: is all over the place. That like, as we're being

563
00:28:10,240 --> 00:28:15,560
Speaker 1: kind of converted into these little, you know, cellular beings

564
00:28:15,640 --> 00:28:19,960
Speaker 1: of like consumption and you know that just being isolated

565
00:28:20,000 --> 00:28:22,960
Speaker 1: from one another, I feel like that people are like trying,

566
00:28:23,119 --> 00:28:26,320
Speaker 1: or like corporations are like trying to just like gesture

567
00:28:26,520 --> 00:28:30,959
Speaker 1: at like old style community things to just be like, hey, guys,

568
00:28:31,520 --> 00:28:35,040
Speaker 1: like we're we're all part of the same community, hanging

569
00:28:35,080 --> 00:28:38,560
Speaker 1: out in a town square. Wait, so hosting things to

570
00:28:38,600 --> 00:28:40,880
Speaker 1: one another? Would you like check in for employment? Then

571
00:28:40,920 --> 00:28:42,640
Speaker 1: like okay, I have a seat in the town square

572
00:28:42,680 --> 00:28:48,400
Speaker 1: in the town square, and I was like, uh yeah,

573
00:28:48,440 --> 00:28:50,479
Speaker 1: and then everybody just sits there and waits for their

574
00:28:50,560 --> 00:28:51,840
Speaker 1: name to come up on a screen.

575
00:28:52,680 --> 00:28:54,800
Speaker 10: I think there's a lot of like community buzzwords. I

576
00:28:54,840 --> 00:28:57,000
Speaker 10: don't in the content creation space. I'm so sick of

577
00:28:57,040 --> 00:28:59,640
Speaker 10: the word authenticity, Like we all know we want authenticity,

578
00:28:59,640 --> 00:29:02,040
Speaker 10: but they're around that word like like it doesn't mean

579
00:29:02,040 --> 00:29:02,840
Speaker 10: anything anymore.

580
00:29:03,320 --> 00:29:06,600
Speaker 5: Yeah, that's the part that I'm really like in hearing

581
00:29:06,640 --> 00:29:09,800
Speaker 5: you talk about algorithms and also just like how algorithms

582
00:29:09,800 --> 00:29:13,640
Speaker 5: are informing how people speak that you know, Like, so

583
00:29:14,240 --> 00:29:17,440
Speaker 5: there is so much power in these algorithms and some

584
00:29:17,480 --> 00:29:19,240
Speaker 5: people I think maybe are aware of it, and maybe

585
00:29:19,280 --> 00:29:22,000
Speaker 5: others somewhat aware but to a lesser extent, maybe not

586
00:29:22,080 --> 00:29:25,720
Speaker 5: fully understanding, like that vise are being manipulated for someone

587
00:29:25,720 --> 00:29:29,080
Speaker 5: else's gain a lot of the time. But like, you know,

588
00:29:29,120 --> 00:29:32,160
Speaker 5: I was struck by your ted talk when you talked

589
00:29:32,160 --> 00:29:36,480
Speaker 5: about how like algorithms find a way to quickly like

590
00:29:36,680 --> 00:29:40,520
Speaker 5: to get people into this hyper compartmentalization, and that the

591
00:29:40,640 --> 00:29:43,760
Speaker 5: algorithm point of these algorithms is to sort you more easily,

592
00:29:44,280 --> 00:29:46,520
Speaker 5: and that the idea that you know, when you get

593
00:29:46,520 --> 00:29:49,720
Speaker 5: into something and you're saying like oh I'm into cottage core,

594
00:29:49,920 --> 00:29:53,160
Speaker 5: gork core fashion or whatever. Now it's like, like you said,

595
00:29:53,160 --> 00:29:56,000
Speaker 5: you're like the algorithm actually gave you that identity based

596
00:29:56,000 --> 00:29:59,560
Speaker 5: on what you were interacting with. And that's like a

597
00:29:59,600 --> 00:30:02,200
Speaker 5: really a sort of mind fucked kind of thing too,

598
00:30:02,360 --> 00:30:06,400
Speaker 5: that people are also chasing algorithmic words to a get

599
00:30:06,440 --> 00:30:09,040
Speaker 5: their content we've seen more or to be more popular.

600
00:30:09,320 --> 00:30:12,080
Speaker 5: And I see this a lot in especially like sports

601
00:30:12,120 --> 00:30:13,840
Speaker 5: talk on YouTube, or I just see it a lot

602
00:30:13,840 --> 00:30:17,360
Speaker 5: in any YouTube where it's about commentary, where people know

603
00:30:17,440 --> 00:30:21,520
Speaker 5: that using certain words or certain talking points or certain

604
00:30:21,600 --> 00:30:25,280
Speaker 5: topics as outrage bait is just how you get more eyeballs,

605
00:30:25,320 --> 00:30:28,600
Speaker 5: like on your shit. But it's no longer sincere expression

606
00:30:28,640 --> 00:30:32,880
Speaker 5: because now you are completely chasing the algorithmic goal of relevance.

607
00:30:33,440 --> 00:30:37,120
Speaker 5: And like you know, when I like, I'm curious now

608
00:30:37,160 --> 00:30:38,880
Speaker 5: like no one is just saying how they feel in

609
00:30:39,000 --> 00:30:42,280
Speaker 5: certain again certain genre like YouTube content, no one exactly

610
00:30:42,320 --> 00:30:44,200
Speaker 5: says how they feel. They just see they just say

611
00:30:44,240 --> 00:30:47,560
Speaker 5: what they believe will get increased engagement. How do you

612
00:30:47,600 --> 00:30:51,280
Speaker 5: see like that playing out? Just sort of as we

613
00:30:51,360 --> 00:30:53,360
Speaker 5: go down the road, like as sort of this way

614
00:30:53,360 --> 00:30:56,800
Speaker 5: of thinking becomes more consolidated or like one track, because.

615
00:30:56,520 --> 00:30:57,520
Speaker 2: It's it used to be.

616
00:30:57,560 --> 00:30:59,720
Speaker 5: It's like well, this person's interesting and people are interested

617
00:30:59,720 --> 00:31:01,400
Speaker 5: what there's saying, and now it's like, no, I need

618
00:31:01,440 --> 00:31:04,240
Speaker 5: to say these five words to get my shit up

619
00:31:04,840 --> 00:31:07,280
Speaker 5: and the algorithmic ratings and then that's how I will

620
00:31:07,280 --> 00:31:08,040
Speaker 5: become relevant.

621
00:31:08,560 --> 00:31:11,320
Speaker 10: Yeah, I mean we're definitely performing for the algorithm. There's

622
00:31:11,360 --> 00:31:14,600
Speaker 10: this idea of like signaling not only to your audience,

623
00:31:14,680 --> 00:31:17,760
Speaker 10: but like using words as metadata, because the algorithm reads

624
00:31:17,760 --> 00:31:20,080
Speaker 10: everything when you upload it. It knows that you're using

625
00:31:20,120 --> 00:31:22,880
Speaker 10: certain words and will use those words to target your audience.

626
00:31:22,920 --> 00:31:25,200
Speaker 10: Metadata is and just like hashtags anymore, it's anything that

627
00:31:25,240 --> 00:31:28,120
Speaker 10: gives information about content and the video itself. The words

628
00:31:28,120 --> 00:31:30,280
Speaker 10: you use in the video are information. So it all

629
00:31:30,280 --> 00:31:33,160
Speaker 10: becomes part of this loop of the algorithm being able

630
00:31:33,160 --> 00:31:36,560
Speaker 10: to categorize more, identify more, pin you down as a

631
00:31:36,600 --> 00:31:39,600
Speaker 10: person better. Right, And we are playing into that, I

632
00:31:39,640 --> 00:31:43,480
Speaker 10: will say, like people have always been performing and playing

633
00:31:43,520 --> 00:31:47,800
Speaker 10: into like I think TV broadcasters are really fake, Like

634
00:31:47,840 --> 00:31:49,440
Speaker 10: they don't they're performing.

635
00:31:49,480 --> 00:31:52,560
Speaker 2: You don't know anyone who speaks like this ATAM, right.

636
00:31:52,600 --> 00:31:53,480
Speaker 11: They're performing for the.

637
00:31:53,440 --> 00:31:55,240
Speaker 10: Idea of how you're supposed to talk on TV. And

638
00:31:55,240 --> 00:31:57,120
Speaker 10: I think influencers are performing for the idea of how

639
00:31:57,160 --> 00:31:59,360
Speaker 10: you're supposed to talk on social media. When I write

640
00:31:59,360 --> 00:32:01,280
Speaker 10: a book, I'm speaking in formal English, which is not

641
00:32:01,320 --> 00:32:03,000
Speaker 10: really how I speak in normal life, but I'm performing

642
00:32:03,000 --> 00:32:04,800
Speaker 10: for the idea of how you're supposed to write a book.

643
00:32:04,920 --> 00:32:06,120
Speaker 11: All of it's a little bit fake.

644
00:32:06,200 --> 00:32:09,160
Speaker 10: I think it's okay to reconcile that fakeness with recognizing

645
00:32:09,160 --> 00:32:11,320
Speaker 10: that we are going to communicate differently in each medium.

646
00:32:11,600 --> 00:32:14,000
Speaker 10: That being said, let's take a step back and look

647
00:32:14,000 --> 00:32:16,160
Speaker 10: at what these algorithms are doing. And yeah, it's really

648
00:32:16,200 --> 00:32:20,040
Speaker 10: weird that they run under a system called techno feudalism

649
00:32:20,080 --> 00:32:24,800
Speaker 10: where they simultaneously like, are that we create the product,

650
00:32:25,040 --> 00:32:27,920
Speaker 10: we consume the product, and we are the product. And

651
00:32:28,240 --> 00:32:30,640
Speaker 10: all they do is they find more ways to put

652
00:32:30,720 --> 00:32:33,880
Speaker 10: us into boxes and understand how we fit into this

653
00:32:34,000 --> 00:32:36,920
Speaker 10: product space, and everything is commodified. All of our language

654
00:32:36,960 --> 00:32:39,239
Speaker 10: is evolving through this consumerist lens of what can make

655
00:32:39,280 --> 00:32:40,320
Speaker 10: the algorithms money.

656
00:32:40,720 --> 00:32:44,480
Speaker 1: Just extract value through like, you know, observation and like

657
00:32:44,520 --> 00:32:48,200
Speaker 1: selling information about you or selling something directly to you,

658
00:32:48,680 --> 00:32:51,880
Speaker 1: like and you're just like kind of they're dancing for them.

659
00:32:52,200 --> 00:32:55,440
Speaker 10: You can't communicate without generating value for them. To go

660
00:32:55,600 --> 00:32:58,080
Speaker 10: viral is to help the platform.

661
00:32:57,760 --> 00:33:00,320
Speaker 1: Right, and that's what and that's what excites me about

662
00:33:00,320 --> 00:33:03,400
Speaker 1: this is that great value for my Wickerberg.

663
00:33:04,360 --> 00:33:05,120
Speaker 11: Yeah what value?

664
00:33:05,200 --> 00:33:05,400
Speaker 1: Yeah?

665
00:33:05,400 --> 00:33:07,440
Speaker 2: What could we be talking about right now, Adam? Just

666
00:33:07,480 --> 00:33:09,920
Speaker 2: so I can maybe up our algorithmic score.

667
00:33:09,960 --> 00:33:13,680
Speaker 10: Which would be talking about All right, I think we're

668
00:33:13,720 --> 00:33:16,160
Speaker 10: past the summer of the machula Boo doo buy chocolate,

669
00:33:16,200 --> 00:33:18,280
Speaker 10: but I don't mind saying one more time, just in case.

670
00:33:19,680 --> 00:33:22,200
Speaker 1: We try to much a little bit much, a little

671
00:33:22,200 --> 00:33:25,400
Speaker 1: bit of chilolate, uh huh, trying average like three of

672
00:33:25,440 --> 00:33:33,760
Speaker 1: those six And to be clear, six seven doesn't mean anything.

673
00:33:33,400 --> 00:33:34,920
Speaker 11: Right, It's kind of like skimmity.

674
00:33:34,960 --> 00:33:39,160
Speaker 1: It's just funny. Yeah, yeah, I just looking back, looking

675
00:33:39,200 --> 00:33:41,560
Speaker 1: back at as I was mentioning some of your posts

676
00:33:41,600 --> 00:33:45,800
Speaker 1: on like the origin of butterfly names, because that's something

677
00:33:46,040 --> 00:33:48,440
Speaker 1: that I have a seven year old. Seven year olds

678
00:33:48,440 --> 00:33:51,520
Speaker 1: are very curious about, Like this is a naturally fascinating

679
00:33:51,520 --> 00:33:53,880
Speaker 1: subject matter for just I think all humans. And like

680
00:33:53,960 --> 00:33:56,600
Speaker 1: my seven year old this morning was asking me for

681
00:33:56,640 --> 00:34:01,080
Speaker 1: the origin of fifty cents name because like art book

682
00:34:01,160 --> 00:34:03,480
Speaker 1: had a piece of art that had like fifty cents

683
00:34:03,520 --> 00:34:06,680
Speaker 1: head on a cockroach's body. He's like, who's that why

684
00:34:06,720 --> 00:34:08,600
Speaker 1: is he called fifty cent? Like they just you know,

685
00:34:08,719 --> 00:34:12,200
Speaker 1: they constantly want to know why is everything called everything?

686
00:34:12,640 --> 00:34:17,200
Speaker 2: But a text book has a fifty bug Me.

687
00:34:17,320 --> 00:34:19,840
Speaker 1: No, No, it's like an art It's like a street

688
00:34:19,920 --> 00:34:23,640
Speaker 1: art book that we before him. He didn't like. It's

689
00:34:23,640 --> 00:34:24,440
Speaker 1: not through school.

690
00:34:24,600 --> 00:34:27,799
Speaker 2: I got it, got it, got out. My curriculum is

691
00:34:27,840 --> 00:34:28,359
Speaker 2: taken off.

692
00:34:29,000 --> 00:34:32,480
Speaker 1: Yeah, things are fucking cool now in a second grade.

693
00:34:33,040 --> 00:34:35,920
Speaker 1: But butterflies come up a lot because every time we

694
00:34:35,920 --> 00:34:38,040
Speaker 1: see a butterfly come through, I need to know the

695
00:34:38,120 --> 00:34:40,520
Speaker 1: name and the derivation. I was looking at one of

696
00:34:40,560 --> 00:34:43,839
Speaker 1: your posts, and so two names that I think are

697
00:34:43,880 --> 00:34:47,880
Speaker 1: like interesting little portals into history. One is California's Sister,

698
00:34:48,560 --> 00:34:51,279
Speaker 1: which I just thought was a cool name because I

699
00:34:51,360 --> 00:34:53,760
Speaker 1: just think it's cool to call people brother and sister

700
00:34:54,280 --> 00:34:57,640
Speaker 1: and it's but it's actually just like a nun. People

701
00:34:57,640 --> 00:35:00,520
Speaker 1: are like that. That looks like a nun's habit because

702
00:35:00,520 --> 00:35:03,400
Speaker 1: it's black and white, and which is I guess, a

703
00:35:03,440 --> 00:35:06,680
Speaker 1: window into history when like forty percent of all humans

704
00:35:06,719 --> 00:35:09,680
Speaker 1: you'd encounter on a daily basis, for like priests and nuns.

705
00:35:10,120 --> 00:35:13,040
Speaker 1: So that was like the only recdude.

706
00:35:12,640 --> 00:35:14,400
Speaker 11: I was I was thinking about the word habit, the

707
00:35:14,480 --> 00:35:14,879
Speaker 11: other day.

708
00:35:14,880 --> 00:35:17,800
Speaker 10: It's crazy they brought that up, because habit like like

709
00:35:17,840 --> 00:35:20,480
Speaker 10: a routine, like a thing that we do that comes

710
00:35:20,480 --> 00:35:23,040
Speaker 10: from the sense of like clothing that like nuns would wear.

711
00:35:23,160 --> 00:35:25,000
Speaker 10: It was just like, so it's like a routine that

712
00:35:25,160 --> 00:35:27,840
Speaker 10: of them to put on have fun's habit. Everyone to

713
00:35:27,880 --> 00:35:30,760
Speaker 10: start calling that a habit to do something as a routine,

714
00:35:30,800 --> 00:35:31,520
Speaker 10: it crazy.

715
00:35:31,880 --> 00:35:33,920
Speaker 1: It's just nuns all the way down. When you go

716
00:35:34,000 --> 00:35:34,600
Speaker 1: back to history.

717
00:35:34,600 --> 00:35:37,040
Speaker 2: They were the first drag queens given us the culture

718
00:35:37,160 --> 00:35:37,520
Speaker 2: back then.

719
00:35:37,840 --> 00:35:43,600
Speaker 1: The worst drag queens effort, it's just the least. But

720
00:35:43,680 --> 00:35:45,560
Speaker 1: then the other one that was like the opposite of

721
00:35:45,600 --> 00:35:47,759
Speaker 1: that was painted Lady, which I always thought was just

722
00:35:47,800 --> 00:35:51,399
Speaker 1: like a pretty sounding word, but it's a historical word

723
00:35:51,480 --> 00:35:54,840
Speaker 1: for sex workers, which yeah, so you have.

724
00:35:54,719 --> 00:35:57,480
Speaker 11: To like understand in both extremes.

725
00:35:57,800 --> 00:36:00,200
Speaker 1: Yeah, you have to understand history through the prism that

726
00:36:00,239 --> 00:36:04,400
Speaker 1: people were, I feel like, usually starving, usually slightly drunk,

727
00:36:04,440 --> 00:36:07,640
Speaker 1: and just ravenously horny at all times. And so like

728
00:36:07,800 --> 00:36:09,000
Speaker 1: Painted Lady, they were.

729
00:36:08,880 --> 00:36:11,480
Speaker 11: Just like, what's really different Hell yeah.

730
00:36:11,239 --> 00:36:14,520
Speaker 1: Yeah, yeah, I think just less starving maybe and less

731
00:36:14,600 --> 00:36:19,160
Speaker 1: drunk for sure, but still incredibly horny. But the fact

732
00:36:19,200 --> 00:36:22,399
Speaker 1: that they saw a butterfly, and we're like.

733
00:36:23,560 --> 00:36:25,640
Speaker 10: That speaks to their reality. I think what we name

734
00:36:25,719 --> 00:36:28,640
Speaker 10: things really is an indicator of what's going on. You know,

735
00:36:28,640 --> 00:36:31,399
Speaker 10: if we're naming things absurdly right now, that's because there's

736
00:36:31,440 --> 00:36:35,840
Speaker 10: something deeply dissonant with our current understanding of society. So

737
00:36:35,880 --> 00:36:38,560
Speaker 10: I don't think six' seven is like some arbitrary. THING

738
00:36:38,640 --> 00:36:42,120
Speaker 10: i think it's you, know it's reacting to the current

739
00:36:42,160 --> 00:36:42,480
Speaker 10: state of.

740
00:36:42,520 --> 00:36:45,719
Speaker 1: Modernity, yeah or in the official version of, things it's

741
00:36:45,719 --> 00:36:48,040
Speaker 1: actually just the height of the president and that's why

742
00:36:48,080 --> 00:36:51,120
Speaker 1: they're referencing six because he's six foot seven And takashi

743
00:36:51,160 --> 00:36:51,840
Speaker 1: six wrong and.

744
00:36:51,920 --> 00:36:52,160
Speaker 2: Cool.

745
00:36:52,280 --> 00:36:54,120
Speaker 5: YEAH i think one thing is just so funny to

746
00:36:54,160 --> 00:36:57,320
Speaker 5: me is like we're looking at how eleven year olds

747
00:36:57,360 --> 00:37:01,359
Speaker 5: talk and then being like society's, cooked and you're, like

748
00:37:01,600 --> 00:37:05,279
Speaker 5: they're fucking. Eleven you know, what there's this thing just how.

749
00:37:05,160 --> 00:37:06,960
Speaker 1: Eleven year old's talking is how eleven year old's, talk

750
00:37:06,960 --> 00:37:08,319
Speaker 1: and everybody starts using.

751
00:37:08,360 --> 00:37:10,839
Speaker 10: It and YET i think there's something deeper to what

752
00:37:10,840 --> 00:37:13,040
Speaker 10: these eleven year olds find. Compelling if you look At Skibbity,

753
00:37:13,120 --> 00:37:16,200
Speaker 10: toilet for, example it's a story diegetically narrated through the

754
00:37:16,280 --> 00:37:19,200
Speaker 10: lens of a. Camera headed android and these camera headed

755
00:37:19,200 --> 00:37:22,279
Speaker 10: creatures are interacting with other cameras like with, iPads and

756
00:37:22,320 --> 00:37:24,640
Speaker 10: they're fighting this fictional series of. Toilets but what that

757
00:37:24,680 --> 00:37:28,320
Speaker 10: means is it's a state of technology versus the basist

758
00:37:28,400 --> 00:37:30,600
Speaker 10: thing you're taught is like the bad where bad things,

759
00:37:30,640 --> 00:37:33,279
Speaker 10: go which is the. Toilet so it's like this law

760
00:37:33,400 --> 00:37:37,440
Speaker 10: force Versus, yeah well it literally if you're an On

761
00:37:37,480 --> 00:37:41,080
Speaker 10: Michael bay, version you're, like, wait we should be doing

762
00:37:41,120 --> 00:37:43,120
Speaker 10: a critical reading Of skibby. TOILET i think you're an

763
00:37:43,120 --> 00:37:47,040
Speaker 10: iPad in this state of, technology like you understand that

764
00:37:47,160 --> 00:37:50,080
Speaker 10: like this is some deep reflection of their state of.

765
00:37:50,160 --> 00:37:50,680
Speaker 11: Reality.

766
00:37:50,960 --> 00:37:53,759
Speaker 1: YEAH i was reading a lot about death earlier this,

767
00:37:53,840 --> 00:37:56,480
Speaker 1: year and just, like you, know our fear of, death

768
00:37:56,560 --> 00:38:01,319
Speaker 1: and historically it's very connected to shit because it's like

769
00:38:01,400 --> 00:38:06,960
Speaker 1: that's the most base like human like animal body thing that. Happens,

770
00:38:07,040 --> 00:38:09,600
Speaker 1: though like you can't deny that you're just an animal

771
00:38:09,640 --> 00:38:12,719
Speaker 1: that's going to die in the context of, shit you,

772
00:38:12,800 --> 00:38:15,560
Speaker 1: know it's just like so far from anything. Else so

773
00:38:15,600 --> 00:38:18,680
Speaker 1: that that's Interesting also that like that is you, know

774
00:38:18,760 --> 00:38:23,719
Speaker 1: this higher level like, robot camera headed thing that is

775
00:38:23,760 --> 00:38:26,920
Speaker 1: like what people feel like they're involved evolving toward and

776
00:38:26,960 --> 00:38:32,160
Speaker 1: then the enemy is head in toilet like human animal,

777
00:38:32,280 --> 00:38:36,759
Speaker 1: dead you, know dying shit. Body. INTERESTING i FEEL i feel, like.

778
00:38:36,800 --> 00:38:39,280
Speaker 10: Yeah i've never thought about this, lens that skimpy toilet

779
00:38:39,320 --> 00:38:41,680
Speaker 10: is a confrontation of her own. MORTALITY i think that's

780
00:38:41,680 --> 00:38:43,359
Speaker 10: a very poignant point you raise.

781
00:38:43,360 --> 00:38:47,560
Speaker 5: IT i saw like early case studies When picassa was

782
00:38:47,560 --> 00:38:49,719
Speaker 5: doing The, guernica AND i felt like there was a

783
00:38:49,760 --> 00:38:53,839
Speaker 5: skibbity toilet in. There replaced it with a conforted. Mother but,

784
00:38:53,960 --> 00:38:58,520
Speaker 5: yeah right, now that's, Crazy, yeah damn.

785
00:39:00,320 --> 00:39:04,239
Speaker 10: Crazy YEAH i should invest in skibbitty shoes as.

786
00:39:04,280 --> 00:39:07,920
Speaker 5: Well, yeah or maybe just put make skibbitty toilet like The.

787
00:39:08,000 --> 00:39:10,640
Speaker 5: GWERNICA i feel like that crossover you put.

788
00:39:10,680 --> 00:39:11,440
Speaker 2: Scar really the.

789
00:39:11,400 --> 00:39:13,839
Speaker 10: Point is that it's. Synonymous it's the horrors of war

790
00:39:13,920 --> 00:39:18,600
Speaker 10: and technology and. MODERNIZATION i think that's the lens to

791
00:39:18,640 --> 00:39:21,239
Speaker 10: read it through. That you know, why it is this

792
00:39:21,680 --> 00:39:25,560
Speaker 10: period of time when we look At Marcel douchamp's, fountain you,

793
00:39:25,600 --> 00:39:28,319
Speaker 10: know that's a urinal and we go back to we're

794
00:39:28,360 --> 00:39:30,040
Speaker 10: talking about dataism in the modern.

795
00:39:30,080 --> 00:39:32,440
Speaker 11: State it's very. Related, YEAH i.

796
00:39:32,440 --> 00:39:35,200
Speaker 1: Agree let's take one more quick. Break we'll be right, back.

797
00:39:45,400 --> 00:39:49,520
Speaker 2: And we're back we're back In beak And.

798
00:39:49,760 --> 00:39:54,120
Speaker 1: Jimmy kimmel's show is back last. NIGHT i, did we're

799
00:39:54,160 --> 00:39:57,480
Speaker 1: recording this before it came, back but allegedly could you?

800
00:39:57,520 --> 00:40:00,520
Speaker 2: Imagine but it's just like actually banded canceling it.

801
00:40:00,520 --> 00:40:03,520
Speaker 1: Again we don't know if he's been. Raptured but the

802
00:40:03,920 --> 00:40:09,520
Speaker 1: uh After disney basically reversed course on its indefinite suspension

803
00:40:10,120 --> 00:40:12,520
Speaker 1: when it became clear that everyone was mad at.

804
00:40:12,600 --> 00:40:16,040
Speaker 2: Them, Yeah Tom hanks signed the letter saying we're.

805
00:40:16,080 --> 00:40:20,600
Speaker 1: Bad, yeah so there's a, big a big letter that

806
00:40:20,680 --> 00:40:24,799
Speaker 1: went around that basically SAID i think it was an

807
00:40:24,800 --> 00:40:28,840
Speaker 1: open letter by THE aclu Condemning, disney signed by hundreds

808
00:40:28,840 --> 00:40:32,759
Speaker 1: Of hollywood, stars Including Tom, hanks who literally Played Walt

809
00:40:32,800 --> 00:40:33,800
Speaker 1: disney in A disney.

810
00:40:33,840 --> 00:40:35,560
Speaker 2: Movie do you think that's what did it for? Him

811
00:40:35,760 --> 00:40:36,600
Speaker 2: like he Played Walt.

812
00:40:36,640 --> 00:40:39,600
Speaker 1: Disney, wait we just gotta let he just like put

813
00:40:39,640 --> 00:40:42,520
Speaker 1: on His Walt disney. Mustache they were, like, wait what the?

814
00:40:42,560 --> 00:40:45,800
Speaker 1: Fuck Walt disney mad at? Us?

815
00:40:46,000 --> 00:40:48,120
Speaker 2: Wow Jamie Lee curtis also signed it. Too wasn't she

816
00:40:48,200 --> 00:40:50,759
Speaker 2: just in tears About kirk being a man of faith or?

817
00:40:50,800 --> 00:40:54,160
Speaker 1: Something she just loves yeah?

818
00:40:54,800 --> 00:40:57,960
Speaker 5: Anything oh, yeah, sure, great, great, Great Maggie, Jillenhall Michael,

819
00:40:58,080 --> 00:41:01,600
Speaker 5: Keaton regina Or king A Gole, lunar which is so.

820
00:41:01,760 --> 00:41:04,600
Speaker 5: FUNNY i forget who tweeted or something as like they

821
00:41:04,719 --> 00:41:06,480
Speaker 5: just want a bunch Of emmys about a show that

822
00:41:06,640 --> 00:41:10,040
Speaker 5: was fighting fascism with And or and then cave to

823
00:41:10,080 --> 00:41:13,839
Speaker 5: it in real life with The kimmel. CANCELATION i think

824
00:41:13,880 --> 00:41:15,279
Speaker 5: we can get by this.

825
00:41:15,360 --> 00:41:21,200
Speaker 1: Thing we already won the And or. Thing, Yeah sinclair

826
00:41:21,400 --> 00:41:24,320
Speaker 1: is still going to preempt the show for ITS abc,

827
00:41:24,440 --> 00:41:28,520
Speaker 1: affiliates which good news For Steve harvey, fans because last

828
00:41:28,520 --> 00:41:31,320
Speaker 1: time they were, like we're gonna put on a ode

829
00:41:31,360 --> 00:41:34,320
Speaker 1: To Charlie kirk and then it was just celebrity family. Feud,

830
00:41:34,640 --> 00:41:35,600
Speaker 1: WOW i love family.

831
00:41:35,640 --> 00:41:37,600
Speaker 4: Feud That Steve harvey family feud is.

832
00:41:37,640 --> 00:41:40,520
Speaker 5: Good, yeah, yeah, YEAH i wonder if that's Also Like

833
00:41:41,160 --> 00:41:44,520
Speaker 5: i'm sure there's so much corporate math happening, too where it's,

834
00:41:44,520 --> 00:41:45,839
Speaker 5: like all, right what do we stand to, Lose let's

835
00:41:45,960 --> 00:41:49,240
Speaker 5: let's game it. Out sinclair keeps preempting what's our revenue

836
00:41:49,320 --> 00:41:53,800
Speaker 5: hit versus what we might lose In Disney plus subscriptions

837
00:41:53,920 --> 00:41:56,400
Speaker 5: or lack of support for our future products or the

838
00:41:56,440 --> 00:42:00,200
Speaker 5: NEW espn app or. Whatever i'm really cure or is

839
00:42:00,239 --> 00:42:03,320
Speaker 5: how that what like what the what the decision making process,

840
00:42:03,480 --> 00:42:05,840
Speaker 5: was because it surely. Wasn't, guys were we're going to

841
00:42:05,880 --> 00:42:07,120
Speaker 5: be on the rock side of history.

842
00:42:07,160 --> 00:42:10,480
Speaker 1: Here, no, no, no we need to. Again we recognized

843
00:42:10,520 --> 00:42:13,720
Speaker 1: that this was a bad look for The disney corporate. Pressure,

844
00:42:13,920 --> 00:42:17,560
Speaker 1: YEAH i, mean some people are stating that the reason

845
00:42:17,800 --> 00:42:20,439
Speaker 1: that they back down is because they lost three point

846
00:42:20,520 --> 00:42:23,239
Speaker 1: eight seven billion dollars as a result of the. Suspension

847
00:42:23,800 --> 00:42:26,759
Speaker 1: this is, ACTUALLY i think an insidious little bit of

848
00:42:26,880 --> 00:42:32,640
Speaker 1: propaganda because like it still is operating in a world

849
00:42:32,719 --> 00:42:35,800
Speaker 1: where like the stock market is going to save us

850
00:42:36,200 --> 00:42:38,240
Speaker 1: from authoritarian as, well.

851
00:42:38,080 --> 00:42:42,000
Speaker 2: Oh being like we we put pressure on the stalk and, yeah,

852
00:42:42,520 --> 00:42:42,880
Speaker 2: right they.

853
00:42:42,960 --> 00:42:46,040
Speaker 1: Did they did a thing that was unpopular and like you,

854
00:42:46,080 --> 00:42:50,879
Speaker 1: know bout to pressure from The trump, administration and they

855
00:42:51,360 --> 00:42:54,320
Speaker 1: lost stock. Value first of, all the amount of value

856
00:42:54,320 --> 00:42:56,759
Speaker 1: that they, lost like turns out it was only like

857
00:42:56,800 --> 00:43:00,840
Speaker 1: zero point sixty seven, percent which is like completely within

858
00:43:00,920 --> 00:43:03,840
Speaker 1: the range of normal fluctuation on any given.

859
00:43:03,920 --> 00:43:06,360
Speaker 6: DAY i imagine they're just looking at a little ticker

860
00:43:06,400 --> 00:43:08,319
Speaker 6: tape of little mickeys and they're just, like oh, no

861
00:43:08,400 --> 00:43:09,200
Speaker 6: the mickeys are going.

862
00:43:09,239 --> 00:43:09,600
Speaker 2: Down we.

863
00:43:11,920 --> 00:43:12,080
Speaker 1: Make.

864
00:43:12,160 --> 00:43:13,319
Speaker 11: It smile and go w.

865
00:43:15,200 --> 00:43:20,080
Speaker 1: It's like That smiley chart that's like Green smiley, Feace smiley.

866
00:43:20,120 --> 00:43:22,840
Speaker 1: Mickeys but, YEAH i mean we've seen that the stock

867
00:43:22,920 --> 00:43:28,319
Speaker 1: market is rewarding people getting in line With trump's authoritarian

868
00:43:28,360 --> 00:43:33,880
Speaker 1: administration like so like and getting punished by them is

869
00:43:33,960 --> 00:43:37,640
Speaker 1: going to be bad for your stock. Prices but anyone

870
00:43:37,680 --> 00:43:39,880
Speaker 1: who's still, LIKE i remember this was a thing like

871
00:43:40,400 --> 00:43:43,520
Speaker 1: during the First drump administration where like a company would

872
00:43:43,520 --> 00:43:47,600
Speaker 1: like push back and people would you, know be like

873
00:43:48,239 --> 00:43:51,400
Speaker 1: and they've gained a bunch of value or like The

874
00:43:51,520 --> 00:43:54,120
Speaker 1: nike thing or and it's just, like, NO i think

875
00:43:54,120 --> 00:43:58,080
Speaker 1: we can give up on the. Haha you, know the

876
00:43:58,120 --> 00:44:01,239
Speaker 1: stock market will Decide, yeah you.

877
00:44:01,880 --> 00:44:03,920
Speaker 5: Don't ever want to go. Down you're, like who got my?

878
00:44:04,080 --> 00:44:07,440
Speaker 5: Back and then you just a bunch of corporations it's, like,

879
00:44:08,719 --> 00:44:09,560
Speaker 5: no they never.

880
00:44:09,440 --> 00:44:10,279
Speaker 2: Did they never was.

881
00:44:10,360 --> 00:44:12,160
Speaker 1: Out they're not going to yeah yeah.

882
00:44:12,239 --> 00:44:15,680
Speaker 5: Yeah oh, Man well That's i'm glad at least those

883
00:44:15,680 --> 00:44:17,880
Speaker 5: people signed a piece of. Paper AND i don't know

884
00:44:17,920 --> 00:44:20,200
Speaker 5: who's going to feel more powerful the people The disney

885
00:44:20,200 --> 00:44:23,600
Speaker 5: adults who through Their disney subscription in the, trash Or

886
00:44:24,560 --> 00:44:25,560
Speaker 5: Natalie portman and My.

887
00:44:25,800 --> 00:44:27,640
Speaker 2: RUDOLPH i hope It's.

888
00:44:27,560 --> 00:44:28,480
Speaker 1: Natalie portman and My.

889
00:44:28,680 --> 00:44:31,040
Speaker 2: Rudolph there's, like DO i also see people who, like,

890
00:44:31,680 --> 00:44:34,080
Speaker 2: Well i'm not going to watch The mandalorian And grogu.

891
00:44:34,200 --> 00:44:38,160
Speaker 2: Trailer oh? REALLY i, like, yeah that's really gonna show.

892
00:44:38,200 --> 00:44:41,799
Speaker 1: Him you're not gonna watch BECAUSE i don't want to see.

893
00:44:41,840 --> 00:44:48,440
Speaker 4: Spoilers i'm, LIKE i WANT i want Gro goo for.

894
00:44:48,480 --> 00:44:50,799
Speaker 2: President yeah at this, point fuck.

895
00:44:50,880 --> 00:44:50,960
Speaker 1: It.

896
00:44:51,120 --> 00:44:51,359
Speaker 2: Yeah.

897
00:44:51,480 --> 00:44:54,800
Speaker 1: Man they did allegedly delay the release of that trailer

898
00:44:55,400 --> 00:44:59,759
Speaker 1: because they because it was supposed to drop last week

899
00:45:00,040 --> 00:45:02,319
Speaker 1: and then this was happening last, week so they were,

900
00:45:02,360 --> 00:45:05,560
Speaker 1: like so that's like the big change they made the

901
00:45:05,680 --> 00:45:07,400
Speaker 1: delay the release of this.

902
00:45:07,480 --> 00:45:09,560
Speaker 4: Tree they delayed some premieres because they didn't want people

903
00:45:09,560 --> 00:45:11,200
Speaker 4: to show up in. PROTEST i, think.

904
00:45:11,640 --> 00:45:14,600
Speaker 5: Oh, right That Lilith fair doctor wasn't like they got

905
00:45:14,680 --> 00:45:16,479
Speaker 5: rid of the red carpet and then everyone's, like fuck,

906
00:45:16,520 --> 00:45:18,040
Speaker 5: this we're not doing anything anymore with.

907
00:45:18,120 --> 00:45:18,239
Speaker 2: This.

908
00:45:18,480 --> 00:45:19,840
Speaker 4: Yeah, no they did. It they showed.

909
00:45:19,840 --> 00:45:22,560
Speaker 6: It they just they were gonna have like performances and,

910
00:45:22,600 --> 00:45:24,920
Speaker 6: stuff and people pulled out actually because they were, like

911
00:45:24,920 --> 00:45:25,400
Speaker 6: we can't be.

912
00:45:26,320 --> 00:45:29,080
Speaker 2: Performing they're, like do you know What Lilith fair? Is

913
00:45:29,200 --> 00:45:31,399
Speaker 2: Even LIKE i don't, know, right you GUYS a bunch

914
00:45:31,440 --> 00:45:36,000
Speaker 2: of corporate. Stooges not not not at that, time we

915
00:45:36,000 --> 00:45:39,480
Speaker 2: weren't not. Yet not. Yet.

916
00:45:40,400 --> 00:45:43,800
Speaker 1: YEAH i, also like a lot of the reporting keeps referring,

917
00:45:43,800 --> 00:45:46,239
Speaker 1: to like the decision to Pull kimmel's show off the

918
00:45:46,280 --> 00:45:49,320
Speaker 1: air for his comments relating to the death Of Charlie. Kirk,

919
00:45:49,560 --> 00:45:53,719
Speaker 1: no like his, comments wasn't it just it.

920
00:45:53,719 --> 00:45:56,200
Speaker 2: Was about how they were they were he said he

921
00:45:56,280 --> 00:46:00,799
Speaker 2: was talking about scoring political, points using the points and

922
00:46:01,000 --> 00:46:04,200
Speaker 2: hoping that this guy was a left wing, person, right.

923
00:46:04,520 --> 00:46:08,400
Speaker 1: Which seems definitely. True it was actually.

924
00:46:08,600 --> 00:46:12,279
Speaker 2: Hoping, yeah it was nothing directly about the like like

925
00:46:12,400 --> 00:46:16,200
Speaker 2: being like crass about the, killing more so about like comments.

926
00:46:15,920 --> 00:46:18,600
Speaker 1: Talking about them being crass about the. Killing, no it

927
00:46:18,640 --> 00:46:19,680
Speaker 1: was clearly.

928
00:46:19,400 --> 00:46:21,960
Speaker 6: Just That trump was, like you, know he's taking them

929
00:46:22,000 --> 00:46:24,840
Speaker 6: down one by. One, yeah, Right, yeah it's that he

930
00:46:24,920 --> 00:46:27,320
Speaker 6: makes fun Of trump and this was the excuse to

931
00:46:28,040 --> 00:46:28,560
Speaker 6: to take him.

932
00:46:28,640 --> 00:46:31,480
Speaker 1: Down but the way that the mainstream media is writing

933
00:46:31,480 --> 00:46:34,440
Speaker 1: about it is they keep being like relating to his

934
00:46:34,560 --> 00:46:37,400
Speaker 1: comments relating to the death Of Charlie, kirk which seems

935
00:46:37,440 --> 00:46:39,480
Speaker 1: like a win for the forces of.

936
00:46:39,520 --> 00:46:42,919
Speaker 6: Censorship, well that's the problem is all the media is

937
00:46:42,960 --> 00:46:46,160
Speaker 6: like completely monopolized by right wing people now and so

938
00:46:47,080 --> 00:46:48,160
Speaker 6: except for this damn.

939
00:46:48,200 --> 00:46:51,600
Speaker 4: Show that's, right The, Resistance.

940
00:46:51,239 --> 00:46:56,160
Speaker 1: The resistance brought to you By. Rathon, well we also

941
00:46:56,239 --> 00:46:59,759
Speaker 1: don't have a major merger on the. Horizon, no no

942
00:47:00,920 --> 00:47:02,040
Speaker 1: are trying to merge with.

943
00:47:02,120 --> 00:47:03,840
Speaker 4: Us no matter what actually.

944
00:47:03,920 --> 00:47:07,800
Speaker 6: Happens they they report whatever they want and then people believe.

945
00:47:07,840 --> 00:47:12,520
Speaker 5: It so, yeah it's always like just very bad faith

946
00:47:12,800 --> 00:47:15,920
Speaker 5: summations of it because you can just, again there used

947
00:47:15,960 --> 00:47:19,360
Speaker 5: to be like some outlets will be like really really

948
00:47:19,440 --> 00:47:22,760
Speaker 5: harmless commentary From kimmel that was blown out of. Proportion

949
00:47:22,880 --> 00:47:25,600
Speaker 5: i've only maybe seen that described that way like twice

950
00:47:25,840 --> 00:47:29,719
Speaker 5: over the last week from My democrats.

951
00:47:29,200 --> 00:47:32,719
Speaker 6: Keep taking the bait and being, like, oh you're, RIGHT

952
00:47:32,760 --> 00:47:34,440
Speaker 6: i have to put out a statement.

953
00:47:35,160 --> 00:47:38,480
Speaker 2: AND i will also vote to memorialize this. Person and

954
00:47:38,520 --> 00:47:43,759
Speaker 2: you're like, yeah really really, well, okay so so you

955
00:47:43,800 --> 00:47:45,360
Speaker 2: guys agree on a lot of. Stuff it sounds like

956
00:47:46,560 --> 00:47:48,440
Speaker 2: like there's one party kind of like there's, one just

957
00:47:48,480 --> 00:47:50,319
Speaker 2: two kind of flavors of, it you know WHAT i,

958
00:47:50,320 --> 00:47:52,600
Speaker 2: Mean but, hey what DO i? Know and then like

959
00:47:52,680 --> 00:47:55,319
Speaker 2: just The Brendan carr, shit like the head of THE

960
00:47:55,360 --> 00:47:59,160
Speaker 2: fcc acting like he never said anything about like launching

961
00:47:59,200 --> 00:48:01,440
Speaker 2: this pressure campaign is so fucking.

962
00:48:01,480 --> 00:48:04,640
Speaker 1: Never threatened to pull licenses OF abc stations if the

963
00:48:04,640 --> 00:48:08,520
Speaker 1: network didn't Fire. Kimmel and then there's this. Quote let

964
00:48:08,520 --> 00:48:10,960
Speaker 1: me say it's time that a lot of these licenses

965
00:48:10,960 --> 00:48:14,600
Speaker 1: broadcasters themselves push back on comcasts And disney and, say,

966
00:48:14,760 --> 00:48:17,440
Speaker 1: listen we're going to Preempt we're not going to Run kimmel.

967
00:48:17,440 --> 00:48:21,080
Speaker 1: Anymore so you straighten us, out because we license broadcasters

968
00:48:21,080 --> 00:48:24,360
Speaker 1: are running into the possibility of fines or license revocation

969
00:48:24,520 --> 00:48:27,400
Speaker 1: from THE fcc if we continue to run content that

970
00:48:27,520 --> 00:48:29,160
Speaker 1: ends up being a pattern of news.

971
00:48:29,200 --> 00:48:32,600
Speaker 2: DISTORTION i said it was about news. Distortion that's like

972
00:48:32,640 --> 00:48:35,600
Speaker 2: what he was getting all like overly pedantic about. It

973
00:48:35,600 --> 00:48:36,239
Speaker 2: it was about news.

974
00:48:36,280 --> 00:48:37,800
Speaker 1: Distortion, sure and you're.

975
00:48:37,680 --> 00:48:40,960
Speaker 2: Like, yeah but you're still talking about THE fcc revoking. Licenses,

976
00:48:41,040 --> 00:48:43,239
Speaker 2: yeah like in relation to this.

977
00:48:43,640 --> 00:48:48,239
Speaker 4: And carr kind of doing the shaggy. Defense, yeah, old

978
00:48:48,239 --> 00:48:48,719
Speaker 4: it wasn't, me.

979
00:48:49,200 --> 00:48:51,920
Speaker 2: Especially, too when people were like there was like that

980
00:48:51,960 --> 00:48:54,160
Speaker 2: one tweet that blew up because someone was, like oh my, god,

981
00:48:54,200 --> 00:48:56,560
Speaker 2: guys this is straight out Of project twenty twenty. Five

982
00:48:56,640 --> 00:48:59,600
Speaker 2: and he replied to that tweet with The Jack nicholson.

983
00:48:59,600 --> 00:49:04,240
Speaker 5: Yeah Gift and you're, like, wait that's what you're fucking,

984
00:49:04,320 --> 00:49:05,240
Speaker 5: saying you fucking.

985
00:49:05,320 --> 00:49:09,520
Speaker 1: Coof it's also like this thing that where they're doing.

986
00:49:09,640 --> 00:49:11,120
Speaker 1: THINGS i, mean it kind of goes along with The

987
00:49:11,200 --> 00:49:14,640
Speaker 1: kamala thing where she's LIKE i where you say things

988
00:49:14,680 --> 00:49:19,759
Speaker 1: as impersonally and like in the most passive voice, possible you,

989
00:49:19,800 --> 00:49:22,640
Speaker 1: know where she's, LIKE i.

990
00:49:21,719 --> 00:49:30,480
Speaker 13: Would endorse The. Democrats, yeah so you Would. DEMOCRAT i

991
00:49:30,719 --> 00:49:35,600
Speaker 13: would endorse The democrat. Nominee but he, said, listen we're

992
00:49:35,640 --> 00:49:40,399
Speaker 13: going to. Preempts he's, saying it's. Time they said we're

993
00:49:40,520 --> 00:49:43,120
Speaker 13: going to. Preempt so he's like putting this in like

994
00:49:43,280 --> 00:49:47,040
Speaker 13: three layers of quotes to be, like because we might

995
00:49:47,120 --> 00:49:51,960
Speaker 13: be worried that THE fcc is gonna revoke our.

996
00:49:51,960 --> 00:49:55,560
Speaker 4: Lifetime that they said mm, hmm.

997
00:49:55,560 --> 00:49:58,399
Speaker 1: Yeah, exactly we. ARE i never said. IT i said

998
00:49:58,400 --> 00:50:01,680
Speaker 1: it's time that they said that in our, voice so

999
00:50:01,800 --> 00:50:04,319
Speaker 1: LIKE i said that they should get out of puppet

1000
00:50:04,440 --> 00:50:08,160
Speaker 1: that represents us and says these. THINGS i did not say.

1001
00:50:08,160 --> 00:50:10,120
Speaker 1: That we said. THAT i did not say that as.

1002
00:50:10,160 --> 00:50:13,239
Speaker 2: Myself, okay this is My Bruce buffer puppet going it's.

1003
00:50:13,440 --> 00:50:17,160
Speaker 2: Time it's that a lot of these licensed broadcasters pushed,

1004
00:50:17,200 --> 00:50:18,520
Speaker 2: them and that was like a.

1005
00:50:18,600 --> 00:50:20,600
Speaker 5: Hypothetical, man it was like A ufc. Fight, man this

1006
00:50:20,800 --> 00:50:24,800
Speaker 5: obviously would never. Happen, Obviously i'm fuck, guys it's. Terrible,

1007
00:50:25,160 --> 00:50:28,160
Speaker 5: yeah it's just such an again terrible fucking. Look AND

1008
00:50:28,200 --> 00:50:30,960
Speaker 5: i think for people that need more evidence that these

1009
00:50:31,000 --> 00:50:34,279
Speaker 5: corporations and these like sort of billion moneyed interests are

1010
00:50:34,360 --> 00:50:37,080
Speaker 5: ever going to stand up for anyone's fucking, rights you

1011
00:50:37,120 --> 00:50:40,120
Speaker 5: were sorely fucking. Mistaken they are just ready to do

1012
00:50:40,440 --> 00:50:43,560
Speaker 5: whatever they need to do to, again do what they

1013
00:50:43,600 --> 00:50:46,640
Speaker 5: have to to make sure that they're a shareholder value

1014
00:50:46,680 --> 00:50:48,319
Speaker 5: that that is maintained.

1015
00:50:48,040 --> 00:50:50,239
Speaker 2: And augmented as much as.

1016
00:50:50,280 --> 00:50:53,560
Speaker 1: Possible all, right let's talk about flying cars real quick.

1017
00:50:53,600 --> 00:50:58,279
Speaker 1: Here that that is a piece of the future THAT

1018
00:50:58,360 --> 00:51:01,880
Speaker 1: i think everybody had in mind at a certain. Point

1019
00:51:01,880 --> 00:51:03,640
Speaker 1: they were, like this is what's going to come and

1020
00:51:03,680 --> 00:51:06,239
Speaker 1: make it feel. Cool make that or jet packs all,

1021
00:51:06,280 --> 00:51:13,719
Speaker 1: worthwhile the big great consumerism movement where everything just has

1022
00:51:13,800 --> 00:51:17,000
Speaker 1: like a slightly upward tilt and things keep getting better

1023
00:51:17,040 --> 00:51:21,160
Speaker 1: and better until one day we have flying. Cars by the,

1024
00:51:21,200 --> 00:51:25,440
Speaker 1: way The jetsons took place in a in the, sky

1025
00:51:25,680 --> 00:51:27,839
Speaker 1: but we never see what's happening down on.

1026
00:51:28,040 --> 00:51:30,080
Speaker 2: Earth it's where the four people.

1027
00:51:30,120 --> 00:51:33,200
Speaker 6: ARE i didn't know where this was going The jetsons

1028
00:51:33,239 --> 00:51:37,120
Speaker 6: took place in the. Sky in the, Sky i'm just,

1029
00:51:39,160 --> 00:51:41,200
Speaker 6: Three that's WHAT i thought you were gonna.

1030
00:51:41,200 --> 00:51:45,680
Speaker 1: Say there are fan theories that it's like An elysium,

1031
00:51:45,800 --> 00:51:49,760
Speaker 1: situation where like they this is just how the wealthy

1032
00:51:49,840 --> 00:51:52,080
Speaker 1: live in The jetsons. Universe and there are even some

1033
00:51:52,239 --> 00:51:56,120
Speaker 1: fan theories that suggest that what's happening On earth was

1034
00:51:56,160 --> 00:52:01,440
Speaker 1: the Other hannibarbara, cartoon the. Systems, yeah that The flintstones

1035
00:52:01,640 --> 00:52:05,080
Speaker 1: is everything else has gone back to The Stone, ages

1036
00:52:05,360 --> 00:52:13,000
Speaker 1: and so it's like just a parable about inequality.

1037
00:52:11,920 --> 00:52:14,520
Speaker 2: Orbit city and it takes place in twenty sixty.

1038
00:52:14,600 --> 00:52:16,280
Speaker 4: Two we're getting.

1039
00:52:16,320 --> 00:52:17,200
Speaker 3: There we're getting.

1040
00:52:17,200 --> 00:52:19,960
Speaker 1: There, Yeah BUT i do THINK i do think we

1041
00:52:20,080 --> 00:52:22,520
Speaker 1: can maybe hold onto the idea of The. Jetsons i'll

1042
00:52:22,520 --> 00:52:26,920
Speaker 1: explain that at the. End but the idea of a

1043
00:52:26,960 --> 00:52:32,160
Speaker 1: democratically available flying, CAR i Think i'm going to kill

1044
00:52:32,160 --> 00:52:36,000
Speaker 1: that dream for. Myself there was just a mid air

1045
00:52:36,040 --> 00:52:38,760
Speaker 1: collision In china during a rehearsal for an air show

1046
00:52:39,320 --> 00:52:42,239
Speaker 1: where too car flying cars crashed into each other due

1047
00:52:42,280 --> 00:52:43,279
Speaker 1: to insufficient.

1048
00:52:43,360 --> 00:52:44,919
Speaker 2: Spacing what does that?

1049
00:52:45,000 --> 00:52:46,120
Speaker 11: Mean which is the?

1050
00:52:46,719 --> 00:52:49,200
Speaker 1: Sky the whole thing, Is, yeah you're supposed to have,

1051
00:52:49,840 --> 00:52:54,920
Speaker 1: sky but like people are pointing out like that you

1052
00:52:54,960 --> 00:52:58,600
Speaker 1: would need air traffic controllers for any flying. Car, like

1053
00:52:58,640 --> 00:53:03,000
Speaker 1: think about what happened When newark's air traffic control center

1054
00:53:03,239 --> 00:53:06,319
Speaker 1: like blacked out for a, second and like there was

1055
00:53:06,440 --> 00:53:08,440
Speaker 1: a couple of minutes where they didn't know where the

1056
00:53:08,480 --> 00:53:12,040
Speaker 1: planes were and everybody like Had everyone was like. This

1057
00:53:12,239 --> 00:53:16,440
Speaker 1: it was the most Distraught i've ever. Been, like that's

1058
00:53:16,480 --> 00:53:20,240
Speaker 1: the level of knowledge and like control that you need

1059
00:53:20,239 --> 00:53:23,960
Speaker 1: to have over anything that's in the sky to make

1060
00:53:24,000 --> 00:53:27,120
Speaker 1: sure that it doesn't crash into something else that's in the.

1061
00:53:27,120 --> 00:53:30,839
Speaker 1: SKY i think that might be.

1062
00:53:30,880 --> 00:53:33,640
Speaker 2: True i'm sure some of thick skuld concerned were, like,

1063
00:53:33,719 --> 00:53:37,880
Speaker 2: well we don't need ground traffic control for, cars right

1064
00:53:38,160 --> 00:53:40,040
Speaker 2: because people just know not to drive into each. Other

1065
00:53:40,040 --> 00:53:40,960
Speaker 2: you've got to have, rules.

1066
00:53:41,520 --> 00:53:44,200
Speaker 1: Right damn never, Mind i'm back on. BOARD i think

1067
00:53:44,200 --> 00:53:47,439
Speaker 1: WE i think we got this thing figured. Out that's

1068
00:53:47,480 --> 00:53:48,920
Speaker 1: like that they're trying to get a thing going here

1069
00:53:48,960 --> 00:53:52,799
Speaker 1: that's like uber, helicopters the worst idea anyone's ever. HEARD

1070
00:53:53,040 --> 00:53:56,120
Speaker 1: i think that's exactly what's going to. HAPPEN i think

1071
00:53:56,480 --> 00:54:00,480
Speaker 1: this is going to be a thing that they'll call

1072
00:54:00,560 --> 00:54:03,759
Speaker 1: them flying, cars but they'll just be like helicopters, essentially

1073
00:54:03,840 --> 00:54:08,040
Speaker 1: and it'll just be for rich, people like for a handful.

1074
00:54:07,640 --> 00:54:09,520
Speaker 4: Of rich people with a death.

1075
00:54:09,560 --> 00:54:13,120
Speaker 1: Wish, yeah, yeah and it kind of already is, That

1076
00:54:13,320 --> 00:54:16,960
Speaker 1: like people who don't live IN la might not like

1077
00:54:17,080 --> 00:54:21,120
Speaker 1: live with helicopters constantly flying, overhead but LIKE, la you,

1078
00:54:21,160 --> 00:54:23,719
Speaker 1: know Like kobe was flying around in a, Helicopter like

1079
00:54:23,760 --> 00:54:26,800
Speaker 1: a lot of wealthy people like fly around in, helicopters

1080
00:54:26,840 --> 00:54:29,439
Speaker 1: like when they need to get. Somewhere SO i mean.

1081
00:54:29,360 --> 00:54:31,239
Speaker 2: It's, yeah, yeah it's it's.

1082
00:54:31,280 --> 00:54:33,480
Speaker 5: Again this is like What Sal paula is like In,

1083
00:54:33,520 --> 00:54:37,680
Speaker 5: brazil like where people fly in helicopters because of the.

1084
00:54:37,760 --> 00:54:40,799
Speaker 5: Traffic but it's also it's down class lines because it's, like,

1085
00:54:40,800 --> 00:54:42,080
Speaker 5: well If i'm in a, CAR i MIGHT i might

1086
00:54:42,120 --> 00:54:45,400
Speaker 5: be vulnerable to, kidnapping, right SO i just fly above

1087
00:54:45,400 --> 00:54:48,759
Speaker 5: it all to my luxury, apartment to my business to.

1088
00:54:48,840 --> 00:54:51,880
Speaker 6: Wherever well they'll never see it coming when me and

1089
00:54:51,920 --> 00:54:53,360
Speaker 6: my band of helicopter.

1090
00:54:53,440 --> 00:54:58,680
Speaker 2: Bandits, yeah the robbery strings around the roaders deal with.

1091
00:54:58,719 --> 00:55:00,799
Speaker 2: That but, again like they HAVE i, have like they

1092
00:55:00,800 --> 00:55:04,320
Speaker 2: have like something some weird wild amount of like helicopter

1093
00:55:04,400 --> 00:55:07,760
Speaker 2: air traffic control and sapollow because there's so many fucking

1094
00:55:07,840 --> 00:55:10,400
Speaker 2: people just flying around a helicopters to be like not

1095
00:55:10,480 --> 00:55:14,600
Speaker 2: dealing with the not dealing with the terrestrial, bullshit, right.

1096
00:55:14,640 --> 00:55:18,560
Speaker 4: Going to their job at The Space Space League, corporation right.

1097
00:55:18,680 --> 00:55:22,200
Speaker 1: Exactly El musk has said that he's gonna invent flying.

1098
00:55:22,239 --> 00:55:24,920
Speaker 1: Cars he actually did that ten years, ago saying that

1099
00:55:24,960 --> 00:55:26,600
Speaker 1: he was gonna do it just for fun and the

1100
00:55:26,680 --> 00:55:31,840
Speaker 1: only challenge was making them. Quiet but that that's, wrong

1101
00:55:32,840 --> 00:55:33,520
Speaker 1: and what.

1102
00:55:33,360 --> 00:55:34,359
Speaker 2: A fucking this.

1103
00:55:34,480 --> 00:55:37,440
Speaker 5: Is it's so easy for these tech people to just

1104
00:55:37,719 --> 00:55:40,239
Speaker 5: do the dumbest lies to be like to puff your.

1105
00:55:40,320 --> 00:55:42,600
Speaker 5: Chest i'm, like, dude that's fucking light, work, bro the

1106
00:55:42,640 --> 00:55:43,600
Speaker 5: flying Iron.

1107
00:55:43,640 --> 00:55:45,280
Speaker 1: Man, yeah the one.

1108
00:55:45,120 --> 00:55:47,120
Speaker 5: THING i gotta do is just make them. Quieter everything

1109
00:55:47,120 --> 00:55:48,879
Speaker 5: ELSE i gotta figure it. Out and then other people,

1110
00:55:48,920 --> 00:55:51,239
Speaker 5: go oh wow that thank, you that's so, crazy, dog

1111
00:55:51,400 --> 00:55:53,960
Speaker 5: thank you? Bro, YEAH i love. You CAN i Buy

1112
00:55:54,000 --> 00:55:54,640
Speaker 5: tesla hat?

1113
00:55:54,680 --> 00:55:56,440
Speaker 2: Now, yeah, dude seventy eight.

1114
00:55:56,440 --> 00:55:58,960
Speaker 1: Bucks like he tried to do just like. Tunnels he

1115
00:55:59,040 --> 00:56:01,320
Speaker 1: just tried to be, like we're gonna tunnels that people

1116
00:56:01,400 --> 00:56:04,759
Speaker 1: can drive, through and like he fucked that up, massively

1117
00:56:05,120 --> 00:56:09,239
Speaker 1: but like got the, funding and you know, what, funding.

1118
00:56:09,000 --> 00:56:09,520
Speaker 4: You waste the.

1119
00:56:09,560 --> 00:56:12,600
Speaker 6: Money he stops us from having the train that goes

1120
00:56:12,680 --> 00:56:15,760
Speaker 6: up and Down. California, that, yeah it all real, bad.

1121
00:56:16,040 --> 00:56:20,240
Speaker 2: Right, yeah and This i'm assuming this will flying cars

1122
00:56:20,320 --> 00:56:21,319
Speaker 2: will be available to.

1123
00:56:21,440 --> 00:56:25,799
Speaker 5: Everyone it won't just be the obscenely. Wealthy, no of,

1124
00:56:25,840 --> 00:56:26,600
Speaker 5: course it.

1125
00:56:28,120 --> 00:56:30,080
Speaker 2: Is clearly like they're, like you can get one for twenty.

1126
00:56:30,080 --> 00:56:33,600
Speaker 1: BUCKS i, think, Yeah, no it's just gonna be. More,

1127
00:56:33,880 --> 00:56:37,200
Speaker 1: yeah they're already pursuing. It it's just gonna essentially be

1128
00:56:37,239 --> 00:56:41,880
Speaker 1: a helicopter flight for the extremely. Wealthy the big problem is,

1129
00:56:42,000 --> 00:56:44,520
Speaker 1: infrastructure like not in the skies but on the, ground

1130
00:56:44,640 --> 00:56:47,640
Speaker 1: since companies haven't figured out how to, cite permit and

1131
00:56:47,680 --> 00:56:50,720
Speaker 1: construct enough places for vehicles to land and take, off

1132
00:56:52,280 --> 00:56:57,839
Speaker 1: and yeah you. Would it would necessitate pilot, training, which

1133
00:56:57,880 --> 00:57:00,200
Speaker 1: as we saw in the latest episode of the or

1134
00:57:00,320 --> 00:57:02,800
Speaker 1: latest season of the, rehearsal takes a lot of time

1135
00:57:03,560 --> 00:57:08,239
Speaker 1: costly licensing aircraft manufacturers need to submit designs years in.

1136
00:57:08,320 --> 00:57:11,919
Speaker 1: Advance and there are flying cars, now but they don't

1137
00:57:12,000 --> 00:57:14,080
Speaker 1: look like, cars and they kind of exist in a

1138
00:57:14,080 --> 00:57:18,200
Speaker 1: weird legal gray area with these like electric vertical takeoff

1139
00:57:18,200 --> 00:57:23,200
Speaker 1: in landing vehicles OR ev, tolls and they're just designed

1140
00:57:23,280 --> 00:57:28,200
Speaker 1: for very rich. People there's one company that markets the

1141
00:57:28,360 --> 00:57:32,479
Speaker 1: very first certified commercial flying car ever. Delivered and it's

1142
00:57:32,600 --> 00:57:36,640
Speaker 1: a picture of this like weird like three wheeled. Car you,

1143
00:57:36,640 --> 00:57:39,040
Speaker 1: know you ever see those like three wheeled cars out.

1144
00:57:38,920 --> 00:57:41,120
Speaker 2: On the, Road, yeah like a RAPTOR i think is.

1145
00:57:41,120 --> 00:57:43,120
Speaker 2: That it looks like one of.

1146
00:57:43,120 --> 00:57:47,400
Speaker 1: Those and they just like parked it in the driveway

1147
00:57:47,440 --> 00:57:50,480
Speaker 1: of a mansion and then they just inserted a photo

1148
00:57:50,560 --> 00:57:53,160
Speaker 1: of like a seventy year old rich guy in a

1149
00:57:53,200 --> 00:57:57,600
Speaker 1: tuxedo next to. It they're just, like this is this

1150
00:57:57,680 --> 00:57:58,920
Speaker 1: basically sums it, up.

1151
00:57:58,960 --> 00:58:00,680
Speaker 4: Like rich people want to be in a tin can

1152
00:58:00,680 --> 00:58:00,880
Speaker 4: in the.

1153
00:58:00,880 --> 00:58:02,560
Speaker 1: Sky that's, right it's.

1154
00:58:02,640 --> 00:58:07,520
Speaker 2: Unregulated it looks like A Chrysler. Prowler that's exactly what

1155
00:58:07,560 --> 00:58:10,160
Speaker 2: it looks. Like, YEAH i don't, mean see where the

1156
00:58:10,160 --> 00:58:12,200
Speaker 2: fucking wings. ARE i don't, know BECAUSE i think they

1157
00:58:12,280 --> 00:58:15,240
Speaker 2: just moved the front wheels of The Chrysler prowler to the.

1158
00:58:15,320 --> 00:58:19,760
Speaker 2: Back and they're, like and that's that fucking flies and

1159
00:58:19,840 --> 00:58:23,960
Speaker 2: you have, it and it comes with a, tuxedo so you're.

1160
00:58:24,000 --> 00:58:27,600
Speaker 1: Good you're, Good and it's just like A halloween store

1161
00:58:27,760 --> 00:58:30,600
Speaker 1: level tux A t shirt with the tuxedo for on the.

1162
00:58:30,640 --> 00:58:34,240
Speaker 1: Front because they are impractical and. Elitist of, Course Donald

1163
00:58:34,280 --> 00:58:37,400
Speaker 1: trump is embracing. Them In, june he signed executive orders

1164
00:58:37,840 --> 00:58:41,919
Speaker 1: establishing a quote pilot program FOR ev tolls that would

1165
00:58:41,920 --> 00:58:45,400
Speaker 1: apply to emergency medical, services air, taxis and cargo, deliveries

1166
00:58:45,400 --> 00:58:45,880
Speaker 1: among other.

1167
00:58:45,920 --> 00:58:51,120
Speaker 2: Areas, OKAY i like medical, services, great start with, that

1168
00:58:51,280 --> 00:58:54,040
Speaker 2: and then he goes taxis and you're, like that'shre the lobbyist.

1169
00:58:54,040 --> 00:58:56,560
Speaker 2: Sort they're, like hey, man what about the fucking taxis?

1170
00:58:56,560 --> 00:58:58,120
Speaker 2: Too BECAUSE i can get some more rich people in the.

1171
00:58:58,120 --> 00:59:01,040
Speaker 2: SKY i, mean the roads already safe with people in

1172
00:59:01,680 --> 00:59:04,760
Speaker 2: like on the ground in, cars you know WHAT i. Mean,

1173
00:59:04,920 --> 00:59:08,000
Speaker 2: like add to that some wealthy person who already thinks

1174
00:59:08,080 --> 00:59:11,000
Speaker 2: they're now literally above it all and above the, Law

1175
00:59:11,480 --> 00:59:13,600
Speaker 2: like they're not gonna get into their FUCKING ev toll

1176
00:59:13,680 --> 00:59:17,280
Speaker 2: and be completely fucked up behind the joystick or whatever

1177
00:59:17,360 --> 00:59:19,720
Speaker 2: they fucking fly this thing. With, YEAH i guess at

1178
00:59:19,760 --> 00:59:21,120
Speaker 2: that point they would have a. Chauffeur.

1179
00:59:21,480 --> 00:59:24,400
Speaker 4: Yeah i'm playing it with my mind, Obviously, yeah with my.

1180
00:59:24,480 --> 00:59:28,520
Speaker 2: Neuralink, yeah. Exactly that's why it took me To Odyssey video.

1181
00:59:28,560 --> 00:59:32,760
Speaker 1: Officer there's quote somebody doesn't maintain their flying, car it

1182
00:59:33,120 --> 00:59:36,440
Speaker 1: could drop a hubcap and guillotine. You and that was

1183
00:59:36,480 --> 00:59:40,200
Speaker 1: From Elon musk who wants to kind of push forward

1184
00:59:40,240 --> 00:59:40,640
Speaker 1: WITH us.

1185
00:59:41,040 --> 00:59:43,800
Speaker 4: Man he sure is concerned about guillotines for some.

1186
00:59:43,960 --> 00:59:50,360
Speaker 5: Reason, yeah a lot of could? Guillotine yeah Could Gallen

1187
00:59:50,480 --> 00:59:54,120
Speaker 5: maxwell you who? Knows from administration announced they will allow

1188
00:59:54,200 --> 00:59:58,240
Speaker 5: companies to test air taxis before they're formally certified by THE.

1189
00:59:58,360 --> 01:00:01,720
Speaker 5: Faa that was just Week oh thank? God what could go?

1190
01:00:01,760 --> 01:00:07,040
Speaker 1: Wrong Jesus? Christ all, right that's gonna do it for

1191
01:00:07,160 --> 01:00:11,240
Speaker 1: this week's Weekly. Zeitgeist please like and review the show

1192
01:00:11,880 --> 01:00:16,440
Speaker 1: if you, like the show means the world. Demiles he

1193
01:00:16,600 --> 01:00:17,080
Speaker 1: needs your.

1194
01:00:17,320 --> 01:00:17,840
Speaker 2: Validation.

1195
01:00:18,000 --> 01:00:21,840
Speaker 1: FOLKS i hope you're having a great weekend AND i

1196
01:00:21,840 --> 01:01:12,560
Speaker 1: will talk to You. Monday. Bye