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

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

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Speaker 1: from this week, all edited together into one NonStop infotainment

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Speaker 1: laugh stravaganza. Uh yeah, So, without further ado, here is

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Speaker 1: the Weekly Zeitgeist. Really all right, it's time for a

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Speaker 1: quick check in with the business world, which is what

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Speaker 1: you guys come to the Daily Zeitgeist for. I know,

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Speaker 1: my stocks rumping and the tumping, rub and tumping. So

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Speaker 1: Tesla the company Tesla el m Musk has been forced

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Speaker 1: to step down as chairman of the board. So I

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Speaker 1: thought they were saying he just had to like them

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Speaker 1: moose from the whole company, like he was out when

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Speaker 1: I first saw the headline. But apparently it's just that

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Speaker 1: he was both chairman of the board and CEO, which

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Speaker 1: is if you're you know, if you founded a company

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Speaker 1: and are insanely powerful at that company, you can be

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Speaker 1: both those things. So you're basically in destructive godhead. Yeah,

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Speaker 1: because you're both the head of the company and the

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Speaker 1: person who fires the head of the company. So it's like,

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Speaker 1: I'm probably not gonna fire myself on this one guys. Later, Uh,

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Speaker 1: but he is no longer chairman of the board. So

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Speaker 1: that opens him up to being accountable, which seems like

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Speaker 1: it should always be the way companies operate. But because

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Speaker 1: he founded ship and because our country is a corporatocracy,

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Speaker 1: he was allowed to operate with complete impunity and you know,

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Speaker 1: make for twenty jokes with people's livelihoods, you know, for

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Speaker 1: for a laugh. Also, ge fired their CEO and their stock.

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Speaker 1: The articles are saying their stock is soaring, but it's

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Speaker 1: actually just back to where it was a week ago,

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Speaker 1: and that in total is down since its peak in

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Speaker 1: the year two thousand. Uh. The equivalent of an entire

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Speaker 1: Facebook like they Facebook is currently valued at four hundred

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Speaker 1: and seventy three billion dollars. They've lost four hundred and

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Speaker 1: eighty five billion dollars since two thousand. Man, and he

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Speaker 1: is crazy. Not enough, not enough war for them make

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Speaker 1: money on. Yeah, I think that doesn't help. There might

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Speaker 1: be one coming off, so hey, shout out to hang

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Speaker 1: in there, g Uh, jets will be needed. Uh. And

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Speaker 1: then Miles, you were saying that Papa John's, Oh man,

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Speaker 1: you know, I'm I'm all, I got my eye on

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Speaker 1: Papa John's. Maybe this is and this might be something

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Speaker 1: they have not gotten the news yet they don't know

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Speaker 1: what's happened. But oh my god, someone needs to let

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Speaker 1: this is not a thing. Uh yeah, apparently right now

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Speaker 1: the ownership, the president ownership, they're they're just begging perspective

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Speaker 1: buyers for like proposals to buy this thing. They're like, hey,

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Speaker 1: do you want to buy Papa John's set and yeah,

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Speaker 1: and then there's even like a thing about how they

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Speaker 1: were talking about rebranding, but the only rebrand was to

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Speaker 1: take the apostrophe out, so John. So it's a like

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Speaker 1: multiple Papa Yeah, exactly, all Papa John. No not, I

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Speaker 1: don't sweat that much. We are all Papa John. Really, like,

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Speaker 1: let's take a look at ourselves, man, we are all

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Speaker 1: Papa's John. Papa John, I am Papa John. Would be

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Speaker 1: like the ad with the kids, I am Papa John,

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Speaker 1: and it would be all people of color to woke,

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Speaker 1: watched the company, They're like, I am Papa John. They

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Speaker 1: would just make the N word Papa John at that Yeah,

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Speaker 1: the ultimate portrayal it is called Kaepernick at the end,

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Speaker 1: he's like, I am Papa John. Like just trying. It's

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Speaker 1: like a commercial campaign, just trying a targeted hit to

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Speaker 1: try and kill him with a heart attack. The god,

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Speaker 1: that would be funny. All the news I hear coming

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Speaker 1: out of there, like the fact that they wanted to

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Speaker 1: remove the pastrophee, and like the other big thing that

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Speaker 1: they were considering was like changing the red and green

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Speaker 1: on their label. Right, It's just such like perfect fucking satire, honestly,

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Speaker 1: everything you hear about corporate right right, look at this

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Speaker 1: red and blue. So we're going with a more millennial green.

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Speaker 1: And sorry I was saying red and blue. It's red

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Speaker 1: and green. Yeah, well there, I mean honestly, and I

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Speaker 1: think we've said this every time. If they want to

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Speaker 1: fucking help themselves change the fucking recipe of your pieces,

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Speaker 1: that's gonna be my favorite part of this entire like

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Speaker 1: news cycle for the past two ars for them is

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Speaker 1: that like Papa John's has slowly lost like power as

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Speaker 1: the party pizza you go to party, like a birthday

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Speaker 1: party or like a kids whatever, you're like hanging out

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Speaker 1: with people, the default pizza is like Papa john because

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Speaker 1: I think it's the cheapest or best deals for multiple people.

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Speaker 1: Now it's more Domino's Pizza Hut, local places, and I'm

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Speaker 1: like kind of keep happy about that, Yeah, yeah, well, yeah, again.

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Speaker 1: The only thing I like is that garlic sauce because

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Speaker 1: it helps me finish their shitty crust. Other places a

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Speaker 1: better garlic sauce. I thought that was a Papa John's,

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Speaker 1: like patent or who else has garlic sauce? Literally every

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Speaker 1: pizza place. You could just get it anywhere. I didn't

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Speaker 1: know it was a thing. Yeah, the pizza. It has

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Speaker 1: a dominance. I'm not like a commerce. I don't work

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Speaker 1: for the way Dominoes has it. Yeah, you'll never guess this.

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Speaker 1: Two mediums garlic yo Dominoes. I don't know. I don't

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Speaker 1: work for dominance. Well, I want to eventually Ranch dressing

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Speaker 1: that you can get for like fifty cents extra good.

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Speaker 1: I don't trust. I don't. I don't. I don't. I

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Speaker 1: don't do that as a matter. Man, you don't like Ranch.

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Speaker 1: I love pizza. I did, Yeah, not on pizza. But

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Speaker 1: you know, I like the garlic sauce. But we we

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Speaker 1: get by, however, we have to, just like movie passes,

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Speaker 1: trying to get back however the funk they have to.

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Speaker 1: They are underhanded as fun, because we've already talked about

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Speaker 1: how they've completely self owned with their terrible business model

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Speaker 1: and then you know they were they literally ran out

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Speaker 1: of money and had to get emergency funding and things

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Speaker 1: like that. So naturally a lot of people are like, yo,

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Speaker 1: this is not worth the money and have left their

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Speaker 1: new fucking tactic to try and counteract their like dwindling

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Speaker 1: subscriber base is to automatically enroll lapsed members into their

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Speaker 1: new like unlimited plan and then they have to opt

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Speaker 1: out to avoid being charged. So I don't even know

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Speaker 1: who like this is really the there in their death

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Speaker 1: throws when they're like, you know what, people who used

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Speaker 1: to fucking subscribe to sign them back up and you know,

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Speaker 1: tell them if they don't want to pay then then

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Speaker 1: then they're gonna have to opt out. Dude. Movie Paths

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Speaker 1: is like like a case study and read the fine

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Speaker 1: because I feel like all of this is in the

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Speaker 1: like thing you like click with the terms and conditions,

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Speaker 1: but we don't read it, so like I bet legally

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Speaker 1: they're all like, yeah, no, he said we could come

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Speaker 1: and beat your wife. I don't know, yes, you sign

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Speaker 1: it away, and it's like I don't, I'm sure they can. Well,

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Speaker 1: they're framing this as they're like almost like the email

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Speaker 1: that goes out to those peoples like you're part of

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Speaker 1: a select test group to try our new unlimit. It

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Speaker 1: did playing and you're like, yo, but that you don't

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Speaker 1: have to click on in order to be enrolled. No, no,

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Speaker 1: you're enrolled. You are. But you know that's what happens

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Speaker 1: with these businesses and these fantasy businesses. And that's why

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Speaker 1: again I think these like a MCS that ship looks

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Speaker 1: like a better deal, right, AMC, come come give me

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Speaker 1: this money. I know we're we're so anti corporatecracy, but

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Speaker 1: we're always like Dominoes Amy because we're still live in

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Speaker 1: this place. And like, I don't have money. I don't

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Speaker 1: have like real money to avoid big, big companies. I'm like,

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Speaker 1: I was just I can't. I can't eat. If I

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Speaker 1: could eat at Pizzana every day, I would, you know,

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Speaker 1: shout out to James. But I can't. I don't have

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Speaker 1: Pizzana money. I have Domino's money. I have Taco Bell money. Okay,

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Speaker 1: Nike makes the best joggers. I can't hate you know,

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Speaker 1: what are you gonna do? I feel bad, I feel terrible,

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Speaker 1: but whatever, Hey, well you know at least you're now

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Speaker 1: we're in an easy no sense, do you guys. See

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Speaker 1: that Facebook announced, in addition to like giving up fifty

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Speaker 1: million people's confidential information, that when they were doing two

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Speaker 1: factor authentication, like basically, you know, we'll send you a

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Speaker 1: text message every time you log in, even if you

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Speaker 1: didn't have your mobile number attached to like anything in

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Speaker 1: your Facebook account except for the two factor authentication, they

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Speaker 1: were selling your mobile number too companies so that they

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Speaker 1: could like spam you, dude, I always wonder how the

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Speaker 1: fuck I get so many motherfucking scam likely's calling me

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Speaker 1: up all the time, and numbers I don't know, and

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Speaker 1: so many numbers that like mimic the first six digits

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Speaker 1: of your phone number so to be like your area code,

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Speaker 1: and then the first three and you're like, oh, this

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Speaker 1: this kind of looks like my number, and you calling

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Speaker 1: you like hello, do you need to restructure your home

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Speaker 1: that you're like, no, I yeah, I gotta get a burner.

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Speaker 1: I gotta get a burner to avoid fucking spam called

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Speaker 1: the whole shadow economy of company is that their whole

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Speaker 1: model is just to like fucking spam call people. Yeah.

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Speaker 1: I think I read somewhere that the number of spam

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Speaker 1: phone calls is about too equal or surpass uh the

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Speaker 1: number of actual phone calls. Oh that like the amount

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Speaker 1: of phone connections that are connections. I mean, I'm not joking.

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Speaker 1: I have Like I'm sure people hear my phone goes

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Speaker 1: sometimes in the recording those are always scam called. Are

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Speaker 1: there everything you were like making moves? Man? No, man,

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Speaker 1: I only move weight from my palm pie. It is

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Speaker 1: good to act cool like, oh no, I got a

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Speaker 1: lot of business going on. Yeah, I got the structure

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Speaker 1: my agent hold on, I'm so sorry, Yeah, what's up?

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Speaker 1: Talked to my wife three hours ago, two hours ago,

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Speaker 1: got a spam call. Then one hour ago, got a

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Speaker 1: spam call. So that's that's how my did look from

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Speaker 1: I've had three I've all scam calls today except from

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Speaker 1: one from the Homegrow Brittany, Right, but yeah, everything else

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Speaker 1: avalon West Carrollton, Ohio Agora Hills. But it's confusing because

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Speaker 1: I feel like I have to listen to the first

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Speaker 1: four or five words of each call. Because now Amazon

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Speaker 1: called me about like my actual business with them, like

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Speaker 1: uh like two days ago, and I was like, okay,

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Speaker 1: now hold the funk on and it was like legit Amazon. Yeah,

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Speaker 1: So I was like, and they use robots too, so hello, Hello, Yeah,

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Speaker 1: I'm like, yo, you can't even want row atch. Meanwhile,

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Speaker 1: The Daily The New York Times podcast that's like a

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Speaker 1: worse version of this show, interviewed two journalists from The

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Speaker 1: New York Times who are on the Brett's Drunken Escapades beat.

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Speaker 1: One of them is like digging around and amongst his

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Speaker 1: high school friends, and the others digging around amongst his

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Speaker 1: college friends and everything they've uncovered has suggested that all

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Speaker 1: accusations are real and trustworthy, and were saying that people,

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Speaker 1: and this is something I always assumed but I hadn't

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Speaker 1: actually heard anybody say it, but that classmates have pride

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Speaker 1: even if their Democrats, even no matter what their politics are, Uh,

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Speaker 1: they have pride in the fact that, oh, well, my

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Speaker 1: this guy went to school with is a Supreme Court nominee.

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Speaker 1: That's like a cool thing to say. And I'm sure

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Speaker 1: like the Chris Dudley's of the world are like, Hey,

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Speaker 1: it's not bad to have like somebody who's on the

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Speaker 1: Supreme Court in case I get into a knife fight

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Speaker 1: at a bar or whatever. Um, but you're Alex treppec Yeah.

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Speaker 1: But so they were basically saying that no people didn't

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Speaker 1: want to go on the record and contradict Kavanaugh until

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Speaker 1: the Fox News interview and his testimony, at which point

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Speaker 1: people started coming out and being like, yo, this guy,

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Speaker 1: like you can't just live that hard um. And so

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Speaker 1: they're saying that they have a lot of people who

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Speaker 1: either on the record or anonymously or painting a picture

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Speaker 1: of him as like such a funk up that everyone

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Speaker 1: was shocked at graduation from college when he won like

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Speaker 1: all these honors because he was the guy at the

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Speaker 1: keg who was always trying and failing to like get girls,

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Speaker 1: and he wanted to be a ladies man, but instead

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Speaker 1: he was always holding up the wall, which they meant

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Speaker 1: leaning against the wall because he would fall over if

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Speaker 1: he stepped away from it. So he was just like

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Speaker 1: constantly way entirely too drunk, and you know, pestering women.

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Speaker 1: It's a sex pest, uh, I mean all the lives

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Speaker 1: there's so many now, like there's so many lies or

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Speaker 1: so many conflicting reports about this person. It's hard to

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Speaker 1: even keep track of because like every single thing he said,

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Speaker 1: there's always been something to be like, wait, he said

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Speaker 1: he found out about the Ramirez accusation when the New

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Speaker 1: Yorker piece came out. But then there are people saying

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Speaker 1: that he was texting people before the release of that

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Speaker 1: article being like, hey, if this comes out, I gotta

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Speaker 1: back me up, and acting like he but he but

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Speaker 1: he told or and hatch I found out when the

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Speaker 1: New Yorker piece, although I mean, you may argue that

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Speaker 1: he meant that when he was contacted maybe by the

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Speaker 1: New Yorker, that that's when he found out. But there's

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Speaker 1: plenty of there's so many other things that like are

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Speaker 1: so that are already disqualifying that it's just mind boggling

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Speaker 1: that we're still kind of like, okay, well, let's let's

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Speaker 1: just hold our nose and see what happens. Yeah, man,

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Speaker 1: he's he's lied to Congress. You know. That should get

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Speaker 1: him yanked out of contention, should get him yanked off

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Speaker 1: of his DC circuit position, and he should go to jail,

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Speaker 1: you know, and uh, at least for like a couple

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Speaker 1: of weeks, you know, so that he can see what

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Speaker 1: it's like to be on the receiving end of what.

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Speaker 1: Oh yeah, yeah, I don't know what. I don't think

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Speaker 1: he's even probably seen a prison. He's like, oh, they

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Speaker 1: freaked me out right. I mean that facial twitch doesn't

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Speaker 1: come from nowhere reason behind it. Um. So Meanwhile, on

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Speaker 1: the right, the story that is gaining attraction is that

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Speaker 1: this is now out of control. It is a scary

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Speaker 1: time for young white men in America. Uh. And this

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Speaker 1: is according to the Trump's Donald Trump Jr. Said he's

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Speaker 1: worried for his sons. I think we have audio of that,

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Speaker 1: and your boy Jeffrey Tuban, who is the New Yorker

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Speaker 1: writer who is also CNNs like legal expert, commented on

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Speaker 1: that in a way that I found wildly appropriate. Who

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Speaker 1: are you scared most for your sons and your daughter?

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Speaker 1: I mean, right now, i'd say in my sons. But

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Speaker 1: when the other side weaponizes it against men and says,

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Speaker 1: you know, forty years later, we can bring it up

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Speaker 1: and you did something in high school that no one remembers,

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Speaker 1: but it should disqualify you from ever doing anything again,

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Speaker 1: it really diminishes the real claims. That's text, the subtext.

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Speaker 1: Right every night, I cry myself to sleep over the

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Speaker 1: fate of white men in America. White men have no power,

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Speaker 1: white man. I mean, it's such garbage. I mean, well,

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Speaker 1: I I understand that, and you know what, if you

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Speaker 1: sexual assault, sexually assault someone in high school, your life

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Speaker 1: should be ruined, your life pursuit. I mean the idea

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Speaker 1: that this is somehow unjust. Remember this all started with

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Speaker 1: accusations of sexual assault. How about the lives of the

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Speaker 1: women who were sexually assaulted in high school? How about

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Speaker 1: fifteen year old uh miss Blazie she wasn't Miss Blasie

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Speaker 1: Ford in those days. How about her life? All this

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Speaker 1: whining about the poor plight of white men is ridiculous.

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Speaker 1: M hmm I where he gets off? I don't know

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Speaker 1: what I mean. Well, when you hear these like these

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Speaker 1: male politicians say it to me, it feels so clearly

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Speaker 1: that these people refuse to have a reckoning with their

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Speaker 1: own past behavior that it's just easier to just look

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Speaker 1: at this and say this is such bullshit, rather than like, yeah, fuck,

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Speaker 1: I fucked up. I grew up in a time where

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Speaker 1: we didn't like no one told me should I was.

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Speaker 1: I've operated on of this fucked up misogynistic culture. That's

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Speaker 1: there's something needs to change, rather than mean like, oh

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Speaker 1: my god, like this is getting out of control, Like

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Speaker 1: because I'm refusing to do the be introspective and look

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Speaker 1: at my own self. I'd rather just be like, well,

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Speaker 1: see this this is all bullshit, right, It's it's it's

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Speaker 1: very I mean to me, it's very transparent. Like when

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Speaker 1: you hear people start using this defense, like I wonder

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Speaker 1: what is in your past, because it seems like to

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Speaker 1: to begin to agree that, oh, yeah, this is something

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Speaker 1: we have to deal with, it would force them to

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Speaker 1: confront some of their own behavior and then put that

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Speaker 1: through the context of what's going on and be like, yeah,

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Speaker 1: I may have been a shitty guy, or maybe I

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Speaker 1: still amy, but and then just cheer indignation from white

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Speaker 1: men on behalf of other white men like Trump. The

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Speaker 1: President himself actually like he doesn't give a shit about

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Speaker 1: his son's with good reason, as we recently heard, but

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Speaker 1: he was just saying broadly, it's a scary time for

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Speaker 1: men in America, obviously, the implication being only white men

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Speaker 1: when you can perfect and one accusation can ruin your life.

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Speaker 1: And yeah, even though he himself admitted that Dr Ford

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Speaker 1: seemed completely credible, it's just like their brain just goes

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Speaker 1: from A to C. It skips the middle step where uh,

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Speaker 1: you know, sexual assault occurred, and it's just like, yeah,

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Speaker 1: but think about it from his perspective. It's kind of

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Speaker 1: stuck because I get that perspective because I'm a guy

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Speaker 1: who did fucked up ship and that happened to me,

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Speaker 1: that would be terrible. I mean you have to remember

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Speaker 1: that Ivana Trump told the police that, uh, Donnie raped her,

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Speaker 1: and then Donnie Jr. Was like, you know, I think

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Speaker 1: I'm gonna go work for my dad, you know what

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Speaker 1: I mean? So like like Republicans will always be like

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Speaker 1: you know, or or people who are talking to Republicans

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Speaker 1: in order to make them have like even pretend to

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Speaker 1: care about women, they're like, oh, imagine if this happened

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Speaker 1: to your daughter or your mother or your mom, like

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Speaker 1: it did happen to their mom, and they don't give

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Speaker 1: a funk, right, Um Yeah, I mean yeah too, I

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Speaker 1: think just to make sure to keep his father in

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Speaker 1: this pristine image of a guy who really doesn't care

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Speaker 1: about him. But yeah, I mean it's so funny too,

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Speaker 1: because you know that the solution for this problem is

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Speaker 1: very simple if you're a parent, is just teach your

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Speaker 1: sons that raping people is bad, that consent is something

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Speaker 1: that they need to learn about, that they have to

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Speaker 1: respect someone's agency, not violate them pretty simple because it's like, well,

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Speaker 1: I I want to start teaching my kid you can't

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Speaker 1: do this ship Like that's the subtext of that too,

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Speaker 1: where it's like, oh my god, I fear for my

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Speaker 1: kids because I'm not telling him about this stuff. I'm

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Speaker 1: just being like, Yo, this is all good. This is

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Speaker 1: how you boys will be able, And it's like, yo,

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Speaker 1: just just do the work of a parent and raise

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Speaker 1: a child to know, like, what the fucking what the

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Speaker 1: rules are to this game we're trying to play called life. Yeah,

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Speaker 1: our baby Ripley is two years old, and this makes

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Speaker 1: so much sense because you were talking about Aliens named

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Speaker 1: her first female action. Yeah, it's awesome. Thank you, She's awesome. Hey,

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Speaker 1: I believe it, believe it or not. That's a different

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Speaker 1: but she's going to hear that a lot from old dudes.

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Speaker 1: Believe it or not. You're Ripley. I love Jack Palance

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Speaker 1: and believe it. Um. But yeah, I'll be like, hey,

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Speaker 1: rip can I get a kiss? And She'll go now,

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Speaker 1: and I go that's okay. You know, do not have

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Speaker 1: to give me a kiss just because just because you're

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Speaker 1: adorable and I want to kiss doesn't mean I get one.

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Speaker 1: Even if I'm your mommy and I'm taking your food

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Speaker 1: away from you because clearly you don't love well, then

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Speaker 1: I guess you don't need my food either. Um that

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Speaker 1: white men are in the sixties verse thirties when it

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Speaker 1: comes to weather to approve Kavanaugh, Just what do you

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Speaker 1: mean in the sixties or no, sixty some thing percent

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Speaker 1: verse thirty something percent. They think he should be approved

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Speaker 1: versus people who think he shouldn't be. Everyone else is

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Speaker 1: like the opposite. Kavanaugh gets on the court, everybody gets

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Speaker 1: issued a woman. He's historically unpopular, however, and this blew

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Speaker 1: my mind most Republicans, So fifty four percent of Republicans

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Speaker 1: said that they would support confirming Kavanaugh even if it

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Speaker 1: turned out that the sexual assault accusations against him are true.

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Speaker 1: They're just like, yeah, I don't give a funk. Well

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Speaker 1: that's a bonus for a lot of those Yeah, so yeah,

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Speaker 1: I think again, because these are men who are unwilling

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Speaker 1: to They don't want to do the work of looking

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Speaker 1: at their own behavior. So it's easier to just be like, no,

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Speaker 1: this guy is chill, because I'm I don't want to

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Speaker 1: live in a world where this is bad. And now

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Speaker 1: I'm going to have to confront my own ship. It's

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Speaker 1: just such a they haven't had a reckoning with their

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Speaker 1: own behavior. A lot of it's like they're all A

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Speaker 1: lot of them are like Bible thumpers who use the

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Speaker 1: Bible to reinforce their toxic masculine you know, instead of us.

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Speaker 1: I I believe that we are stewards of the earth

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Speaker 1: and we are to protect it and protect the animals

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Speaker 1: on it and take good care of it so that

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Speaker 1: whoever comes behind us, you know, we we left it

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Speaker 1: better than we found it, you know, just like if

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Speaker 1: you let me stay at your house, I'm gonna probably

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Speaker 1: leave that room better than I found it, you know.

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Speaker 1: Whereas these guys are like, we are to have dominion

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Speaker 1: and women are to obey, and we have to. If

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Speaker 1: we can't kill it, we fuck it. And if we

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Speaker 1: can't fuck it, we kill it. But sometimes we suck it,

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Speaker 1: then we kill it, and sometimes we kill it then

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Speaker 1: we fuck it, you know, and like that, because that's

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Speaker 1: what men do. You know, what I mean, that's not

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Speaker 1: what real men do. I know, two speeds fuck or kill?

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Speaker 1: Which one are you can be on today? It ain't

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Speaker 1: cut or cry or left man kill over here my man,

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Speaker 1: oh man, this is very upsetting that character speeds. I mean,

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Speaker 1: it's it's the subtext of a lot of things we're

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Speaker 1: seeing it. Yeah, it's like you say, it's when you

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Speaker 1: have people who are so unwilling to just look at

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Speaker 1: this in a way that is free from politics or

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Speaker 1: maybe just their own personal history. You just say, it

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Speaker 1: is a bad thing for someone to do this to

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Speaker 1: someone else. Yeah, and if you, if you rape someone,

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Speaker 1: even if you even if you were bad at raping

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Speaker 1: and and and you didn't get all the way, you know,

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Speaker 1: you've made an attempt at raping someone, that's a disqualifier

402
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Speaker 1: forever forever, you know. Yeah, what one thing, just while,

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Speaker 1: while we're on the subject of him being too drunk

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Speaker 1: to sexually complete his attempt at sexual assault. So the

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Speaker 1: actual definition of Devil's triangle, Like people have just been

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Speaker 1: pointing to that as an example of him lying because

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Speaker 1: he said it was a drinking game, But the actual

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Speaker 1: definition of Devil's Triangle is a threesome with two men

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Speaker 1: and a woman, which is what he was attempting to

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Speaker 1: have happened. If you believe dr Ford's account of the events.

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Speaker 1: Two men or two men in a room alone with

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Speaker 1: a woman and like he just didn't you know, whether

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Speaker 1: she was into it was not, like didn't appear to

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Speaker 1: cross his mind, and like, but people are just like, see,

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Speaker 1: he lied about that, and it's not actually a drinking

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Speaker 1: and it's like, no, it's actually the thing that he

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Speaker 1: was like was attempting to do. Like why aren't we

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Speaker 1: talking more about that? But I think in the way

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Speaker 1: that the logic is operating in the Senate, the only

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Speaker 1: way they can get the GOP to conceive that anything

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Speaker 1: bad happen is for this investigation to come back and

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Speaker 1: say that that, in fact happened. They're not interested in

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Speaker 1: the fact that he's lied about his drinking history or

424
00:23:47,720 --> 00:23:50,280
Speaker 1: all these other things. That's why this the scope of

425
00:23:50,280 --> 00:23:53,240
Speaker 1: the investigation is so narrow to it's just limited to

426
00:23:53,920 --> 00:23:56,760
Speaker 1: these allegations of sexual assault. It's not about whether or

427
00:23:56,760 --> 00:23:58,840
Speaker 1: not he lied about his drinking or many of these

428
00:23:58,920 --> 00:24:01,440
Speaker 1: other things that are should be relevant because they would

429
00:24:01,440 --> 00:24:04,399
Speaker 1: probably show that he did lie to the Senate. Yeah. No,

430
00:24:04,480 --> 00:24:06,439
Speaker 1: it's very clear he lied about his drinking and he

431
00:24:06,520 --> 00:24:09,000
Speaker 1: lied about the definition of that. I'm just saying, like,

432
00:24:09,280 --> 00:24:11,560
Speaker 1: it seems like the media at the very least should

433
00:24:11,560 --> 00:24:14,359
Speaker 1: be pointing out like he was bragging that him and

434
00:24:14,400 --> 00:24:18,400
Speaker 1: his homies like had threesomes with girls like this, We're

435
00:24:18,640 --> 00:24:22,040
Speaker 1: not into it. No woman wants that from Brett Kavanaugh

436
00:24:22,200 --> 00:24:26,240
Speaker 1: and Mark Judge. Have you've seen these guys Jesus Christ

437
00:24:26,840 --> 00:24:29,159
Speaker 1: like like and like and you have to have a

438
00:24:29,200 --> 00:24:31,679
Speaker 1: discussion about that. You know, I would think, you know,

439
00:24:31,720 --> 00:24:33,800
Speaker 1: if if I were to be with two guys, I'd

440
00:24:33,800 --> 00:24:36,840
Speaker 1: be like, all right, now, here's a diagrams of what's

441
00:24:36,840 --> 00:24:39,520
Speaker 1: allowed and what's not allowed. It's a very thorough vetting

442
00:24:39,560 --> 00:24:44,359
Speaker 1: problems the diagram. The two of you funck off. They

443
00:24:44,400 --> 00:24:46,879
Speaker 1: need to get hooked up to a polygraph. She passed

444
00:24:46,920 --> 00:24:49,600
Speaker 1: upon me. This isn't a criminal prosecution those that's in

445
00:24:49,640 --> 00:24:51,880
Speaker 1: admissible in court, but this is a job interview. Get

446
00:24:51,920 --> 00:24:55,080
Speaker 1: hooked those two. Hook those two up to a polygraph

447
00:24:55,080 --> 00:24:57,119
Speaker 1: and see what happens. Man, right, And it's it's so

448
00:24:57,160 --> 00:24:59,160
Speaker 1: funny too, because even in the Senate here and you're like, well,

449
00:24:59,160 --> 00:25:01,200
Speaker 1: we use it to high are people in the intelligence

450
00:25:01,240 --> 00:25:04,320
Speaker 1: community and that we employed in all these other ways.

451
00:25:04,359 --> 00:25:07,520
Speaker 1: But again I'm sure, yeah, there's he can't. There's there's

452
00:25:07,560 --> 00:25:09,520
Speaker 1: no way he could because I don't think it would

453
00:25:09,600 --> 00:25:11,520
Speaker 1: in any way show him to be honest about it.

454
00:25:11,720 --> 00:25:14,600
Speaker 1: It was just like it just starts smoking. Yeah, exactly,

455
00:25:16,080 --> 00:25:18,560
Speaker 1: it just melts the second he puts it on. On

456
00:25:18,600 --> 00:25:21,399
Speaker 1: the daily one of the reporters was saying that the

457
00:25:21,480 --> 00:25:24,000
Speaker 1: people who drank with him are like, yeah, he probably

458
00:25:24,160 --> 00:25:27,600
Speaker 1: believes that. He believes it when he denies that this

459
00:25:27,720 --> 00:25:29,879
Speaker 1: happened because he doesn't remember it. But he was like

460
00:25:29,920 --> 00:25:32,960
Speaker 1: blacked out all the time, Like he was just constantly

461
00:25:32,960 --> 00:25:35,800
Speaker 1: blacked out. So like, yeah, it's easy for him to

462
00:25:36,160 --> 00:25:38,399
Speaker 1: deny it and maybe he would pass a polygraph, but

463
00:25:38,480 --> 00:25:41,119
Speaker 1: he was blacked out all the time. Like we we

464
00:25:41,200 --> 00:25:44,680
Speaker 1: all knew those kids in college and high school who

465
00:25:44,840 --> 00:25:49,080
Speaker 1: were just always completely blacked out, and you know, uh

466
00:25:49,320 --> 00:25:51,560
Speaker 1: some of us may have been those kids. And there's

467
00:25:52,560 --> 00:25:54,520
Speaker 1: you know, but like you know, and then you make

468
00:25:55,480 --> 00:25:59,640
Speaker 1: you kind of get real with yourself and acknowledge that

469
00:26:00,000 --> 00:26:03,640
Speaker 1: you you know that that you don't just like drinking

470
00:26:03,680 --> 00:26:09,000
Speaker 1: beers or like beers, right, yeah, I think, yeah, I

471
00:26:09,080 --> 00:26:12,440
Speaker 1: love beer, just I love beers. All continue drink beers.

472
00:26:12,440 --> 00:26:15,119
Speaker 1: He's the worst commercial for beer ever. I know. We

473
00:26:15,119 --> 00:26:18,399
Speaker 1: were saying that that whole day was like great for

474
00:26:18,520 --> 00:26:21,119
Speaker 1: coke and probably the worst thing that's ever happened to

475
00:26:21,160 --> 00:26:25,879
Speaker 1: Anheuser Busch, like ever, because you associate beer with this

476
00:26:26,119 --> 00:26:29,719
Speaker 1: fucking just do she monster? Do you think he has

477
00:26:29,760 --> 00:26:33,240
Speaker 1: like a make Alobe tattoo on his lower back? I

478
00:26:33,520 --> 00:26:36,720
Speaker 1: feel like he has to have a tattoo, some shitty

479
00:26:36,720 --> 00:26:40,959
Speaker 1: tattoo that he doesn't remember getting. Yeah, exactly, all right,

480
00:26:41,000 --> 00:26:43,280
Speaker 1: we're gonna take a quick break. We'll be right back,

481
00:26:51,920 --> 00:26:56,920
Speaker 1: and we're back. And there is a three hundred thousand

482
00:26:56,920 --> 00:27:02,680
Speaker 1: word New York Times article today of the Trump organizations,

483
00:27:03,119 --> 00:27:08,119
Speaker 1: like financial history, basically how Donald Trump got rich and

484
00:27:08,480 --> 00:27:13,800
Speaker 1: massive fraud. Yeah, it's basically, Well, the thing that seems

485
00:27:13,880 --> 00:27:17,639
Speaker 1: like it cuts the most against because I think everybody,

486
00:27:17,680 --> 00:27:21,760
Speaker 1: including his supporters, are of the impression that like he

487
00:27:22,160 --> 00:27:26,040
Speaker 1: finds loop holes and like finds ways smart business. Right.

488
00:27:26,320 --> 00:27:29,080
Speaker 1: But the thing that he has always claimed is that

489
00:27:29,240 --> 00:27:32,439
Speaker 1: he only got a million, only got a million dollars

490
00:27:32,520 --> 00:27:36,120
Speaker 1: from his dad and then paid it back fully, So

491
00:27:36,160 --> 00:27:38,439
Speaker 1: it was just basically like a bank loan. He's a

492
00:27:38,840 --> 00:27:42,840
Speaker 1: he's a business genius, you guys, daddy gave me. But

493
00:27:42,880 --> 00:27:46,520
Speaker 1: what they found is that by age three, Trump was

494
00:27:46,640 --> 00:27:50,440
Speaker 1: earning two hundred thousand dollars a year. In today's dollars

495
00:27:50,520 --> 00:27:54,840
Speaker 1: from his father's empire, which I mean, what a business genius.

496
00:27:54,880 --> 00:27:58,000
Speaker 1: By age three, he was earning that much. Yeah, why

497
00:27:58,280 --> 00:28:00,239
Speaker 1: hanging his hat on that, right, He's like, how much

498
00:28:00,240 --> 00:28:02,600
Speaker 1: you're making right now? I was making five times that

499
00:28:02,600 --> 00:28:08,280
Speaker 1: when I was three. I was a boss baby. That

500
00:28:08,440 --> 00:28:11,439
Speaker 1: movies about me. You didn't know Alec Baldwin's ripping me

501
00:28:11,480 --> 00:28:14,119
Speaker 1: off left and right, because this thing to a biopic

502
00:28:14,240 --> 00:28:19,080
Speaker 1: of my life. He was. He was a millionaire by

503
00:28:19,160 --> 00:28:22,600
Speaker 1: age eight, and this is all just money being given

504
00:28:22,640 --> 00:28:24,640
Speaker 1: to him. By the time he was seventeen, his father

505
00:28:24,680 --> 00:28:27,879
Speaker 1: had given him part ownership of a fifty two unit

506
00:28:27,920 --> 00:28:31,240
Speaker 1: apartment building, and then right after he graduated college, he

507
00:28:31,320 --> 00:28:33,720
Speaker 1: was receiving the equivalent of one million dollars a year

508
00:28:33,720 --> 00:28:37,480
Speaker 1: from his dad. The money increased with the years to

509
00:28:37,720 --> 00:28:40,680
Speaker 1: more than five million dollars annually in the in his

510
00:28:40,800 --> 00:28:44,200
Speaker 1: forties and fifties. So he was just he's starting to

511
00:28:44,360 --> 00:28:47,280
Speaker 1: you know, it's like you gotta ease him into adulthood

512
00:28:48,560 --> 00:28:50,960
Speaker 1: when you start giving him five million dollars a year

513
00:28:51,040 --> 00:28:53,760
Speaker 1: when he turns forty. Yeah, when he's out in the

514
00:28:53,760 --> 00:28:57,680
Speaker 1: real world only getting five million dollars a year. So

515
00:28:57,880 --> 00:29:01,040
Speaker 1: it's just he's a you know, I think a lot

516
00:29:01,080 --> 00:29:05,360
Speaker 1: of people who have doubted his credentials kind of suspected

517
00:29:05,400 --> 00:29:07,440
Speaker 1: that he's just a rich boy who got a lot

518
00:29:07,480 --> 00:29:11,080
Speaker 1: of money from his dad. But right, I mean the

519
00:29:11,120 --> 00:29:13,680
Speaker 1: point that a lot of people and financial reporters and

520
00:29:13,680 --> 00:29:18,240
Speaker 1: people who actually you know, understand huge quantities of money

521
00:29:18,280 --> 00:29:20,960
Speaker 1: like this have a point they've made is that if

522
00:29:21,000 --> 00:29:23,920
Speaker 1: he had just taken the money that his dad gave

523
00:29:24,000 --> 00:29:27,760
Speaker 1: him and put it in some like managed yeah like

524
00:29:27,920 --> 00:29:31,080
Speaker 1: or just like yeah an SMP, he would be way

525
00:29:31,200 --> 00:29:34,120
Speaker 1: richer now than he is, based on like all the

526
00:29:34,120 --> 00:29:36,800
Speaker 1: ship he did with the money, which was basically invest

527
00:29:36,920 --> 00:29:41,720
Speaker 1: in businesses that should be very easy to run, like casinos,

528
00:29:41,920 --> 00:29:46,400
Speaker 1: and just like bankrupting those businesses. So it's funny to

529
00:29:46,440 --> 00:29:49,360
Speaker 1: talk about two you know, like he he he hates

530
00:29:49,400 --> 00:29:52,680
Speaker 1: that estate tax. And when you find out like essentially

531
00:29:52,720 --> 00:29:56,360
Speaker 1: that his mother and father, who my goodness, are to

532
00:29:56,760 --> 00:29:59,719
Speaker 1: the most full human beings, the strength they look like

533
00:30:00,240 --> 00:30:07,440
Speaker 1: just evil elderly parents from a Tim Burton movie Seven

534
00:30:07,480 --> 00:30:11,320
Speaker 1: Days to Live imagery. Mary's hair is actually the most

535
00:30:11,320 --> 00:30:14,400
Speaker 1: impressive thing I've ever seen, because it's like Marge Simpson

536
00:30:14,680 --> 00:30:17,800
Speaker 1: if she got her hair done by a very drunk person.

537
00:30:17,960 --> 00:30:21,440
Speaker 1: Yea solid Yeah, it's falling off to the side, and

538
00:30:21,520 --> 00:30:25,320
Speaker 1: you don't know like where the starts or begins. Who's

539
00:30:25,360 --> 00:30:29,840
Speaker 1: that guy eshirt? Like an MC drawing is Like, I'm like,

540
00:30:29,920 --> 00:30:33,520
Speaker 1: where is the base? Is it twisting on its stuff? Anyway,

541
00:30:33,680 --> 00:30:36,040
Speaker 1: when you read about all the money that they inherited

542
00:30:36,080 --> 00:30:38,400
Speaker 1: and what they actually paid, so you know, they probably

543
00:30:38,680 --> 00:30:42,200
Speaker 1: they're saying they inherited around a billion dollars and you know,

544
00:30:42,320 --> 00:30:45,600
Speaker 1: based on the taxes that they would have had to pay,

545
00:30:45,680 --> 00:30:50,560
Speaker 1: which is about what for like you know, gifts and inheritances.

546
00:30:51,240 --> 00:30:53,680
Speaker 1: So by that math, they should have paid about five

547
00:30:54,160 --> 00:30:57,120
Speaker 1: fifty million dollars in taxes total and all that inherited wealth.

548
00:30:57,280 --> 00:31:00,320
Speaker 1: But through all their fucking trickery, they ended up paying

549
00:31:00,360 --> 00:31:04,000
Speaker 1: only fifty two point two million dollars or five percent, right,

550
00:31:04,080 --> 00:31:06,080
Speaker 1: And like this is the kind of ship we're talking about.

551
00:31:06,120 --> 00:31:10,640
Speaker 1: Like I don't know, I mean, I I'm glad that

552
00:31:10,680 --> 00:31:14,840
Speaker 1: this story was effectively reported. I don't really we do

553
00:31:15,480 --> 00:31:18,720
Speaker 1: we not all know that at this point. It's weird. Yeah,

554
00:31:18,760 --> 00:31:20,640
Speaker 1: I mean, that's this sad thing that's like we're sort

555
00:31:20,680 --> 00:31:23,560
Speaker 1: of in this weird moment to where immediately I'm like, well,

556
00:31:23,600 --> 00:31:26,520
Speaker 1: what's the statute of limitations on this ship? It's all past. Yeah,

557
00:31:26,560 --> 00:31:29,280
Speaker 1: there's only civil litigation they could go through to try

558
00:31:29,280 --> 00:31:30,800
Speaker 1: and recoup any of that money. I know, build a

559
00:31:30,840 --> 00:31:32,760
Speaker 1: Blascio has said, like, we're looking to see how we

560
00:31:32,800 --> 00:31:35,160
Speaker 1: can recoup some of his money. But it's not like

561
00:31:35,200 --> 00:31:37,760
Speaker 1: the kind of thing where it's like ah ha finally,

562
00:31:38,080 --> 00:31:40,000
Speaker 1: like as John Oliver will do on his shows like

563
00:31:40,040 --> 00:31:42,760
Speaker 1: we got him, like it ain't gonna happen, and he's

564
00:31:42,800 --> 00:31:45,680
Speaker 1: already and he's not even really denying it either. Trump Like,

565
00:31:45,720 --> 00:31:48,480
Speaker 1: it's just like that's tired. And if you want to

566
00:31:48,560 --> 00:31:51,479
Speaker 1: hide information from a Trump supporter or just put it

567
00:31:51,520 --> 00:31:54,480
Speaker 1: in a fifty five thousand word New York Times article

568
00:31:54,920 --> 00:31:58,680
Speaker 1: because I'm sure nobody's reading that. But I mean, at

569
00:31:58,720 --> 00:32:02,680
Speaker 1: the same time, just you know, truthfully and honestly speaking,

570
00:32:03,720 --> 00:32:09,920
Speaker 1: what he does is rob the of American out of money,

571
00:32:10,120 --> 00:32:12,920
Speaker 1: you know, and still be a bad businessman, right and

572
00:32:12,960 --> 00:32:18,200
Speaker 1: then blow that money on helicopters and failed businesses. Do

573
00:32:18,240 --> 00:32:20,520
Speaker 1: you think I mean, I just look at the photos

574
00:32:20,560 --> 00:32:23,880
Speaker 1: of him and his parents, like how much do you

575
00:32:23,920 --> 00:32:27,560
Speaker 1: think they raised him? Being like Donald, you are so

576
00:32:27,640 --> 00:32:30,960
Speaker 1: miserable or do you think they were encouraging him? Well,

577
00:32:31,000 --> 00:32:33,800
Speaker 1: his dad. In the article, it says that his dad

578
00:32:33,880 --> 00:32:36,760
Speaker 1: and him always they were like clones of one another.

579
00:32:36,920 --> 00:32:40,160
Speaker 1: They had the same values. They've everything as like you

580
00:32:40,520 --> 00:32:43,880
Speaker 1: kill or be killed essentially, and so they only know

581
00:32:43,920 --> 00:32:48,720
Speaker 1: two speeds we have. Only he'd gone in the Durst direction,

582
00:32:49,560 --> 00:32:54,040
Speaker 1: you know, like Durst, you he not too. If we

583
00:32:54,080 --> 00:32:57,920
Speaker 1: should all be a little more like Robert Durst, Lezard

584
00:33:00,200 --> 00:33:03,280
Speaker 1: a thousand times just burped during your murder confession. But

585
00:33:03,560 --> 00:33:06,240
Speaker 1: you know where a neck brace to court? I think

586
00:33:06,280 --> 00:33:09,640
Speaker 1: it's a lesson. Say you were on heroin, see your

587
00:33:09,680 --> 00:33:12,920
Speaker 1: crimes don't count? Could you imagine that if that's where

588
00:33:12,960 --> 00:33:15,360
Speaker 1: Donald Trump? If he's just like, hey, it seems like

589
00:33:15,440 --> 00:33:18,200
Speaker 1: this Durst guy has some some good ideas. That wors

590
00:33:18,320 --> 00:33:20,720
Speaker 1: neck brace to court all that to say Robert Durst

591
00:33:20,840 --> 00:33:23,320
Speaker 1: had just just as much money, and he was like, no,

592
00:33:23,440 --> 00:33:26,040
Speaker 1: I think I'm just gonna kill people right right? Yeah,

593
00:33:26,080 --> 00:33:29,840
Speaker 1: some sadly I am Why am I longing for President Durst?

594
00:33:30,240 --> 00:33:33,040
Speaker 1: And then like the jinks with Donald Trump, just a

595
00:33:33,160 --> 00:33:37,600
Speaker 1: switched reality. Do you think was was he Durst pretty progressive?

596
00:33:40,360 --> 00:33:46,800
Speaker 1: I mean, okay, murderous side, I mean murderous side. I mean,

597
00:33:46,840 --> 00:33:51,120
Speaker 1: there are worse people out there, certainly, certainly worse people.

598
00:33:51,120 --> 00:33:53,400
Speaker 1: I don't know what his politics, where he's usually in hiding.

599
00:33:54,720 --> 00:33:57,600
Speaker 1: How he treated women would lead you to believe that

600
00:33:57,680 --> 00:34:00,520
Speaker 1: maybe not maybe not the most progressive, you know, but

601
00:34:00,560 --> 00:34:03,040
Speaker 1: he did also kill a man so close to parent.

602
00:34:03,440 --> 00:34:05,560
Speaker 1: If he had killed one more man, it would have

603
00:34:05,600 --> 00:34:11,520
Speaker 1: been a dozens of dogs that he all named the

604
00:34:11,640 --> 00:34:16,080
Speaker 1: same thing. Which is one of my favorite crazy, crazy

605
00:34:16,280 --> 00:34:19,520
Speaker 1: details of any crazy person is that he was just

606
00:34:19,600 --> 00:34:24,760
Speaker 1: like kept naming them all the same thing and murdering them. Yeah,

607
00:34:24,880 --> 00:34:29,000
Speaker 1: that's your durst up day of the day. Hugs really

608
00:34:29,000 --> 00:34:35,640
Speaker 1: do make us happier, you guys, uh, says Carnegie Melling Universe. Okay,

609
00:34:36,600 --> 00:34:40,520
Speaker 1: they're smart that in Pittsburgh they did a study where

610
00:34:41,040 --> 00:34:45,320
Speaker 1: they found that people who are huggers have like better

611
00:34:45,440 --> 00:34:50,359
Speaker 1: overall health and stronger relationships. And so this isn't just like, uh,

612
00:34:50,520 --> 00:34:53,120
Speaker 1: you know people you're in a romantic relationship with this,

613
00:34:53,120 --> 00:34:57,399
Speaker 1: This is people who say, um, a hugger. Yeah, and

614
00:34:58,239 --> 00:35:01,480
Speaker 1: that is definitely a move that I do not have

615
00:35:01,520 --> 00:35:05,360
Speaker 1: that level of comfort with just acquaintances. Yeah, I know,

616
00:35:05,400 --> 00:35:08,960
Speaker 1: I saw you high five your one year old yeah, yeah,

617
00:35:09,120 --> 00:35:12,719
Speaker 1: he was like, Daddy picked me up. Put it here,

618
00:35:12,800 --> 00:35:18,360
Speaker 1: pal good Man. I aspire to be more of a hugger,

619
00:35:18,400 --> 00:35:22,200
Speaker 1: but yeah, my initial instinct is not as warm. But

620
00:35:22,239 --> 00:35:24,880
Speaker 1: I also feel like this study could have been sponsored

621
00:35:24,880 --> 00:35:32,600
Speaker 1: by ecstasy. So there's a bunch of stuff like this where, um,

622
00:35:32,719 --> 00:35:36,520
Speaker 1: the study of touch is becoming like there's a whole

623
00:35:36,640 --> 00:35:40,280
Speaker 1: industry that we we At my last job, we interviewed

624
00:35:40,360 --> 00:35:45,040
Speaker 1: like people who had started these cuttle parties and all

625
00:35:45,040 --> 00:35:48,840
Speaker 1: these different things where it's just basically finding a synthetic

626
00:35:48,880 --> 00:35:52,760
Speaker 1: way to replace like touch because people used to, I guess,

627
00:35:52,760 --> 00:35:55,880
Speaker 1: like see each other in person more often and so

628
00:35:56,040 --> 00:35:59,239
Speaker 1: like have more physical contact with other people. And there's

629
00:35:59,280 --> 00:36:02,960
Speaker 1: just like a certain an amount of that that we apparently,

630
00:36:03,000 --> 00:36:06,440
Speaker 1: as you know, a species need we need to like

631
00:36:06,480 --> 00:36:08,960
Speaker 1: touch one another. And there's even like this weird study

632
00:36:09,160 --> 00:36:12,400
Speaker 1: where they looked at NBA teams who like how often

633
00:36:12,400 --> 00:36:16,120
Speaker 1: they touched each other during games and found that teams

634
00:36:16,120 --> 00:36:19,000
Speaker 1: who touched each other were like more successful, had like

635
00:36:19,040 --> 00:36:24,400
Speaker 1: more assists per game, And that has apparently been taken

636
00:36:24,440 --> 00:36:27,040
Speaker 1: on as like gospel in the NBA because if you

637
00:36:27,040 --> 00:36:31,600
Speaker 1: ever see, like during free throws, everybody everybody yeah, everybody

638
00:36:31,640 --> 00:36:34,320
Speaker 1: touches the shooter, but like almost like it's like a

639
00:36:34,960 --> 00:36:37,000
Speaker 1: thing they have to do that they've just been told,

640
00:36:37,040 --> 00:36:40,440
Speaker 1: like touches. There's not even like icontact like wrestling, right,

641
00:36:40,560 --> 00:36:43,320
Speaker 1: it's just very like workmen like and like yeah, whatever

642
00:36:43,440 --> 00:36:46,759
Speaker 1: the half shooting, it's like all right, do you give

643
00:36:46,760 --> 00:36:50,720
Speaker 1: me okay? Yeah? Yeah, Like obviously I was a candy

644
00:36:50,760 --> 00:36:52,600
Speaker 1: striper when I was a kid, and they always wanted

645
00:36:52,680 --> 00:36:56,040
Speaker 1: us to like touch the people in the nursing home

646
00:36:56,320 --> 00:36:59,799
Speaker 1: and rub their hands, like rub their feet, and that

647
00:36:59,880 --> 00:37:04,359
Speaker 1: was not necessarily our favorite thing to do. Yeah, They're

648
00:37:04,360 --> 00:37:06,520
Speaker 1: like you have to rub their feet. I mean it

649
00:37:06,680 --> 00:37:09,000
Speaker 1: was part of the job. But I mean I see

650
00:37:09,040 --> 00:37:12,120
Speaker 1: how that can be really, especially if you're starved for it,

651
00:37:12,400 --> 00:37:15,359
Speaker 1: right or just yeah, I mean, man, a hug really

652
00:37:15,360 --> 00:37:18,120
Speaker 1: can't go along. But I guess this is this is

653
00:37:18,160 --> 00:37:21,440
Speaker 1: also like I feel like, even without the actual study itself,

654
00:37:21,440 --> 00:37:22,920
Speaker 1: I think most people be like I have a feeling

655
00:37:23,040 --> 00:37:25,080
Speaker 1: if you did a study about hugs, we will find

656
00:37:25,080 --> 00:37:30,600
Speaker 1: a positive benefit. Yeah. I think it's probably more beneficial

657
00:37:30,719 --> 00:37:34,880
Speaker 1: than I had anticipated. But I think Big Hug is

658
00:37:34,920 --> 00:37:38,840
Speaker 1: behind this study, the hug industry. But it is interesting

659
00:37:38,920 --> 00:37:42,120
Speaker 1: because it's one of those things that you can't necessarily monetize,

660
00:37:42,200 --> 00:37:48,359
Speaker 1: and therefore it probably is culturally underrate. And even then

661
00:37:48,520 --> 00:37:54,160
Speaker 1: that's not nobody's making Big m d M A big

662
00:37:54,200 --> 00:37:58,239
Speaker 1: Molly d M A n B. As what I'm saying,

663
00:37:58,800 --> 00:38:02,399
Speaker 1: there's a through line here now for the more dystopian

664
00:38:02,480 --> 00:38:06,279
Speaker 1: way that people might solve the lack of human contact.

665
00:38:07,400 --> 00:38:11,080
Speaker 1: A Canadian sex dollar company has plans to open a

666
00:38:11,120 --> 00:38:15,359
Speaker 1: shop in Houston where customers can rent one of their

667
00:38:15,400 --> 00:38:19,400
Speaker 1: sex spots. Yes, but they bought is they only use

668
00:38:19,480 --> 00:38:24,120
Speaker 1: that term because they moan the robots or so it's

669
00:38:24,120 --> 00:38:28,040
Speaker 1: not totally uh like a sentient AI being moaning. But

670
00:38:28,080 --> 00:38:30,160
Speaker 1: it's like supposed to be like a sex spot that

671
00:38:30,200 --> 00:38:32,799
Speaker 1: looks like a human. It's a very hyper realistic with

672
00:38:32,920 --> 00:38:35,480
Speaker 1: like skin and like that feels real and I'm like,

673
00:38:35,640 --> 00:38:38,160
Speaker 1: you know, it's meant to look like a human being,

674
00:38:38,600 --> 00:38:41,879
Speaker 1: and so yeah, people would go in. I think they

675
00:38:41,880 --> 00:38:44,640
Speaker 1: have a shop in Toronto where people rent the dolls

676
00:38:44,640 --> 00:38:47,520
Speaker 1: for like a half hour hour and you know, use

677
00:38:47,640 --> 00:38:51,120
Speaker 1: them as they would at the location. And the mayor

678
00:38:51,120 --> 00:38:52,799
Speaker 1: of Houston was like, no, I think we're good on

679
00:38:52,840 --> 00:38:56,640
Speaker 1: a sex spot, brothel or whatever. Uh And they felt

680
00:38:56,680 --> 00:38:59,480
Speaker 1: like it was unnecessarily unwanted, and they're like religious groups

681
00:38:59,520 --> 00:39:02,439
Speaker 1: got involved in Like that's when they started getting weird

682
00:39:02,480 --> 00:39:05,120
Speaker 1: because they were using this really tired argument where they

683
00:39:05,120 --> 00:39:08,680
Speaker 1: always try and conflace sex work with sex trafficking, you know,

684
00:39:08,760 --> 00:39:12,520
Speaker 1: and they're saying like, if they have these sex doll brothels,

685
00:39:12,520 --> 00:39:15,480
Speaker 1: it will quote ultimately harm men their understanding of healthy

686
00:39:15,520 --> 00:39:19,400
Speaker 1: sexuality and increase the demand for the prostitution and sexual

687
00:39:19,440 --> 00:39:23,560
Speaker 1: exploitation of women and children. Now I understand that as

688
00:39:23,560 --> 00:39:26,000
Speaker 1: a concern, but I think we're also in an age

689
00:39:26,000 --> 00:39:30,000
Speaker 1: where we can have actual, real conversations around like our

690
00:39:30,040 --> 00:39:34,000
Speaker 1: sexuality consent things like that, without sort of going down

691
00:39:34,040 --> 00:39:36,160
Speaker 1: the immediate road where it's like oh sex workers or

692
00:39:36,200 --> 00:39:38,319
Speaker 1: evil sex workers? Evil? Oh you think we're at that

693
00:39:38,360 --> 00:39:42,880
Speaker 1: point based on this conversation, Yeah, yeah, I know it.

694
00:39:43,360 --> 00:39:46,080
Speaker 1: So it seems like a weird my utopia argument a

695
00:39:46,120 --> 00:39:50,080
Speaker 1: little bit in that, Like I could see a religious

696
00:39:50,200 --> 00:39:55,000
Speaker 1: argument for the sex spots. Yeah, Like if you're so

697
00:39:55,040 --> 00:39:58,920
Speaker 1: worried about sex work or whatever, like, yeah, maybe try

698
00:39:58,960 --> 00:40:01,280
Speaker 1: to put them on a bo It's the difference between somebody,

699
00:40:01,560 --> 00:40:05,600
Speaker 1: you know, like using a fleshlight or like a dildough

700
00:40:05,960 --> 00:40:09,080
Speaker 1: like you know, like there's all these unhuman ways to

701
00:40:09,160 --> 00:40:11,920
Speaker 1: get you get off or whatever, and like using this

702
00:40:12,000 --> 00:40:16,799
Speaker 1: whole like it's a gateway sex trafficking. Like I don't know,

703
00:40:16,960 --> 00:40:20,000
Speaker 1: I don't see how this is necessarily going to lead

704
00:40:20,040 --> 00:40:23,319
Speaker 1: to these sexual apocalypse that the religious right thinks it will.

705
00:40:23,920 --> 00:40:26,880
Speaker 1: But this ship is always so like religiously motivated, Like

706
00:40:26,920 --> 00:40:30,240
Speaker 1: you don't have actual groups who like advocate on behalf

707
00:40:30,239 --> 00:40:32,480
Speaker 1: of sex workers or things like that, being like oh no,

708
00:40:32,480 --> 00:40:34,799
Speaker 1: no, no no, no, you don't actually don't want this, you know,

709
00:40:34,880 --> 00:40:37,880
Speaker 1: it's only these groups who I think the main group

710
00:40:38,000 --> 00:40:43,440
Speaker 1: that came out against this is called Elijah Rising, and

711
00:40:43,520 --> 00:40:46,560
Speaker 1: they are a Christian nonprofit seeking to end sex trafficking

712
00:40:47,040 --> 00:40:52,680
Speaker 1: in part through prayer. Okay, so they'll teach you to pray.

713
00:40:52,719 --> 00:40:56,720
Speaker 1: But this thing that doesn't really harm people that would

714
00:40:57,040 --> 00:41:00,520
Speaker 1: replace sex trafficking. They they're not on board with that.

715
00:41:00,920 --> 00:41:02,480
Speaker 1: I also just want to say, if you have a

716
00:41:02,520 --> 00:41:07,279
Speaker 1: weird kink like some Republicans have been known to have,

717
00:41:07,760 --> 00:41:11,120
Speaker 1: like maybe yeah, I'm kind of pro this. Yeah, I

718
00:41:11,120 --> 00:41:14,360
Speaker 1: don't see the problem. It's this is a sex dough.

719
00:41:14,480 --> 00:41:17,400
Speaker 1: That's how you do that, That's how you get often whatever,

720
00:41:17,760 --> 00:41:20,200
Speaker 1: Like I don't understand, but again, I think that's where

721
00:41:20,920 --> 00:41:23,400
Speaker 1: this happened. Also, I feel like in Louisiana to around

722
00:41:23,440 --> 00:41:26,799
Speaker 1: sex workers, where there was like a huge crackdown that

723
00:41:27,000 --> 00:41:29,960
Speaker 1: without actually acknowledging the agency of some sex workers and

724
00:41:30,000 --> 00:41:34,640
Speaker 1: like that, there's that if if you're there's consensual sex work,

725
00:41:35,120 --> 00:41:38,480
Speaker 1: there's why are we vilifying that? Yeah, but this is

726
00:41:38,520 --> 00:41:40,920
Speaker 1: this is just with this is with an adult. Yeah,

727
00:41:41,080 --> 00:41:45,240
Speaker 1: it does get tricky with yeah, just con and whether

728
00:41:45,320 --> 00:41:48,160
Speaker 1: they're you know, yeah, because some sex workers may not

729
00:41:48,239 --> 00:41:51,200
Speaker 1: be fully have their own agency and maybe you know,

730
00:41:51,880 --> 00:41:54,640
Speaker 1: working for like a pimp or something who is is

731
00:41:54,719 --> 00:41:56,960
Speaker 1: fucking wild, abusive and ship like that. But I think

732
00:41:56,960 --> 00:41:58,839
Speaker 1: there's also in the Internet age, which I think this

733
00:41:58,880 --> 00:42:01,600
Speaker 1: is actually going around, was the idea of like back

734
00:42:01,640 --> 00:42:04,920
Speaker 1: page and websites that allowed sex workers to just be

735
00:42:05,280 --> 00:42:08,960
Speaker 1: their own manager and coordinate their own appointments. That they

736
00:42:08,960 --> 00:42:11,640
Speaker 1: were taking that away, which eventually would drive people to

737
00:42:11,680 --> 00:42:14,840
Speaker 1: the more seedier version of sex work, which involves pimps

738
00:42:14,960 --> 00:42:17,800
Speaker 1: and things like that. Yeah. Yeah, And I have noticed,

739
00:42:17,880 --> 00:42:20,560
Speaker 1: just in like keeping an eye on the front page

740
00:42:20,560 --> 00:42:24,719
Speaker 1: of Drudge and other conservative websites, that sex spots is

741
00:42:25,160 --> 00:42:28,919
Speaker 1: a constant. There's just a constant drumbeat of like new

742
00:42:29,000 --> 00:42:32,399
Speaker 1: story about sexpots, new story about sexpots. And I think

743
00:42:32,400 --> 00:42:35,719
Speaker 1: it's probably a because it's the same way that like

744
00:42:35,760 --> 00:42:38,799
Speaker 1: when the internet first became a thing, they were like

745
00:42:39,200 --> 00:42:42,839
Speaker 1: person murdered on the internet, and you know, just anything too,

746
00:42:43,080 --> 00:42:45,920
Speaker 1: because they had a chat with the person they murdered,

747
00:42:45,960 --> 00:42:48,919
Speaker 1: like five days before. You know, it's just the new

748
00:42:49,120 --> 00:42:52,400
Speaker 1: scary thing. But maybe it's also like you were saying

749
00:42:52,440 --> 00:42:56,479
Speaker 1: that they are excited that they can get their kink

750
00:42:57,440 --> 00:43:00,680
Speaker 1: kink satisfied. You know, they they're just looking out for

751
00:43:00,760 --> 00:43:04,560
Speaker 1: humanoids exactly. All right, we're gonna take a quick break

752
00:43:04,680 --> 00:43:16,560
Speaker 1: and we'll be right back, and we're back. Wow, what

753
00:43:16,680 --> 00:43:19,560
Speaker 1: a break holds his breath the entire the whole time. Yeah,

754
00:43:19,680 --> 00:43:25,040
Speaker 1: it's pretty incredible. It's mostly because of the smug. God,

755
00:43:25,160 --> 00:43:29,719
Speaker 1: the smug is bad. Um. Just to that point. Though,

756
00:43:29,760 --> 00:43:31,640
Speaker 1: every time as a kid, when I will go somewhere

757
00:43:31,640 --> 00:43:34,799
Speaker 1: that was not the shitty l a, I always was

758
00:43:34,840 --> 00:43:39,360
Speaker 1: like the first like the air you're breathing with parts

759
00:43:39,360 --> 00:43:42,239
Speaker 1: of your loans, they would like to tough up like

760
00:43:42,280 --> 00:43:48,719
Speaker 1: auto parts, and uh, it's true. Sorry, I just love

761
00:43:48,760 --> 00:43:49,960
Speaker 1: clean air. So I think That's why I like the

762
00:43:50,000 --> 00:43:53,640
Speaker 1: Pacific Northwest shout out to British Columbia too. So researchers

763
00:43:53,719 --> 00:43:58,040
Speaker 1: in India have been analyzing all the ways that people

764
00:43:58,200 --> 00:44:02,200
Speaker 1: have died taking selfies the last years. And this does

765
00:44:02,239 --> 00:44:04,680
Speaker 1: not seem like it's an exhaustive list, because I think

766
00:44:04,680 --> 00:44:08,120
Speaker 1: they only like clearly identified a couple of hundred or

767
00:44:08,200 --> 00:44:13,279
Speaker 1: like totally about two give or take give or take

768
00:44:13,800 --> 00:44:17,120
Speaker 1: point zero zero one within the margin of error. But

769
00:44:17,640 --> 00:44:20,680
Speaker 1: you know, these were the ones where it was undoubtedly

770
00:44:21,040 --> 00:44:24,600
Speaker 1: like somebody was looking at them as they backed into uh,

771
00:44:25,000 --> 00:44:28,520
Speaker 1: you know, industrial jet engine while trying to take a

772
00:44:28,600 --> 00:44:31,600
Speaker 1: selfie or whatever. Yeah, they just looked at articles that first.

773
00:44:31,640 --> 00:44:34,319
Speaker 1: They used articles that were like person dies trying to

774
00:44:34,360 --> 00:44:37,840
Speaker 1: take selfie or whatever. And I mean it is it

775
00:44:37,920 --> 00:44:40,759
Speaker 1: is an interesting thing to study because a lot of it,

776
00:44:40,920 --> 00:44:42,879
Speaker 1: like the things they're saying, is most of these people

777
00:44:43,440 --> 00:44:47,160
Speaker 1: they are just risking their lives just in the pursuit

778
00:44:47,239 --> 00:44:49,880
Speaker 1: of looking cool, like in the in the flex in

779
00:44:49,920 --> 00:44:53,919
Speaker 1: the search for likes. Here's my hot take, we could

780
00:44:53,920 --> 00:45:00,319
Speaker 1: afford to lose. Hey, it's a Darwin Award for sure. Look,

781
00:45:00,360 --> 00:45:03,160
Speaker 1: if you if you're out here climbing a motherfucking antenna.

782
00:45:03,239 --> 00:45:04,960
Speaker 1: That's three feet in the air to just do a

783
00:45:05,000 --> 00:45:07,960
Speaker 1: selfie and you fall off that ship. I'm sorry, I

784
00:45:08,000 --> 00:45:09,719
Speaker 1: don't feel but you knew what was going on. You

785
00:45:09,760 --> 00:45:12,839
Speaker 1: didn't even use safety equipment. But it's interesting they look,

786
00:45:13,040 --> 00:45:15,480
Speaker 1: they broke down sort of based on the reports that

787
00:45:15,520 --> 00:45:17,799
Speaker 1: they did collect because it's hard to know because like

788
00:45:18,000 --> 00:45:22,000
Speaker 1: selfie isn't like a recordable cause of death, so they

789
00:45:22,000 --> 00:45:24,680
Speaker 1: will have to look. But they found the top way

790
00:45:24,719 --> 00:45:26,600
Speaker 1: to go for these people that they looked at well

791
00:45:26,640 --> 00:45:29,239
Speaker 1: taking selfie was drowning. So that would be people being

792
00:45:29,280 --> 00:45:33,120
Speaker 1: washed away by a wave on the beach or capsizing

793
00:45:33,120 --> 00:45:35,600
Speaker 1: in a boat. Some people were just getting into water

794
00:45:35,840 --> 00:45:39,400
Speaker 1: without knowing how to swim. So yeah, in those cases,

795
00:45:39,440 --> 00:45:42,040
Speaker 1: I'm sorry, like that is a tragedy, but you know,

796
00:45:42,080 --> 00:45:45,279
Speaker 1: the Darwin Awards they do move on. Uh. The next

797
00:45:45,320 --> 00:45:49,960
Speaker 1: one was transportation, So that is the biggest risk they

798
00:45:49,960 --> 00:45:52,239
Speaker 1: were saying was people clicking a pick in front of

799
00:45:52,239 --> 00:45:55,120
Speaker 1: a moving train. So a lot of people were getting

800
00:45:55,160 --> 00:45:57,560
Speaker 1: hit by trains or maybe hanging out the side of

801
00:45:57,560 --> 00:46:00,640
Speaker 1: a train trying to do it. Remember there was a

802
00:46:00,640 --> 00:46:02,840
Speaker 1: woman of that one video, the one woman who was

803
00:46:03,760 --> 00:46:06,160
Speaker 1: like hanging out the side of the car dancing on

804
00:46:06,200 --> 00:46:07,800
Speaker 1: the Graham and then she got hit by a light pole,

805
00:46:07,840 --> 00:46:09,719
Speaker 1: like her friend was too close to like a light pole,

806
00:46:09,760 --> 00:46:11,279
Speaker 1: but her half her body was out of the car

807
00:46:11,600 --> 00:46:13,319
Speaker 1: and she hit her head on light bulb and died. Yes,

808
00:46:13,360 --> 00:46:15,920
Speaker 1: she died. Then, like so there's even ship that's not

809
00:46:15,960 --> 00:46:18,279
Speaker 1: even really the selfie, but like the flex on the

810
00:46:18,320 --> 00:46:23,680
Speaker 1: Graham because you just want to be geeky black uh. Also,

811
00:46:24,320 --> 00:46:28,160
Speaker 1: the third they were saying was from falls and fires,

812
00:46:28,280 --> 00:46:30,959
Speaker 1: So people climbing ship, falling off tall ship, or being

813
00:46:31,000 --> 00:46:33,840
Speaker 1: near a fire then into a house fire instead of

814
00:46:33,880 --> 00:46:36,520
Speaker 1: trying to like drag out like a person. I don't

815
00:46:37,040 --> 00:46:39,600
Speaker 1: stuck in there, you selfie, you just go live. You're

816
00:46:39,640 --> 00:46:43,800
Speaker 1: like watching hero. Oh did you guys see the person

817
00:46:44,320 --> 00:46:46,640
Speaker 1: who got into the accident. He was like he had

818
00:46:46,680 --> 00:46:48,680
Speaker 1: some sort of social media following. This was like a

819
00:46:48,680 --> 00:46:52,759
Speaker 1: few weeks ago and there was someone like dying in

820
00:46:52,840 --> 00:46:55,120
Speaker 1: a car that he caused the accident. Oh, he was

821
00:46:55,160 --> 00:46:59,359
Speaker 1: a boxer. He caused the accident and he was like

822
00:47:00,000 --> 00:47:04,720
Speaker 1: Facebook liv ng instead of helping this mother who wound

823
00:47:04,760 --> 00:47:08,799
Speaker 1: up Dying's that's crazy. That should also be a crime too,

824
00:47:09,200 --> 00:47:11,600
Speaker 1: if you're if you in a position to help somebody,

825
00:47:11,640 --> 00:47:14,800
Speaker 1: and you choose to go live on the ground. That's

826
00:47:14,840 --> 00:47:18,160
Speaker 1: that's a felony right there. That's that's that's fifteen to life.

827
00:47:18,560 --> 00:47:20,520
Speaker 1: And then the last one they were saying was like

828
00:47:20,600 --> 00:47:25,480
Speaker 1: animal molling, electrocution, and firearms, and they note most of

829
00:47:25,480 --> 00:47:30,120
Speaker 1: the fatalities involving picks with firearms occurred in the United States. Well,

830
00:47:30,160 --> 00:47:33,000
Speaker 1: it's interesting because I mean another sign that they did

831
00:47:33,040 --> 00:47:35,319
Speaker 1: not capture all of them is that this was a

832
00:47:35,320 --> 00:47:39,360
Speaker 1: study done in India, and well they only captured fourteen

833
00:47:39,400 --> 00:47:41,960
Speaker 1: deaths in the US. They captured a hundred and fifty

834
00:47:42,080 --> 00:47:45,200
Speaker 1: nine in India against just as they were focusing more

835
00:47:45,239 --> 00:47:48,200
Speaker 1: on India. I think this is a snapshot into probably

836
00:47:48,239 --> 00:47:52,080
Speaker 1: what could be a much wider global study around this,

837
00:47:52,160 --> 00:47:55,160
Speaker 1: because yeah, I think, you know, because like there's some

838
00:47:55,160 --> 00:47:57,960
Speaker 1: some countries have or some areas have like no selfie

839
00:47:58,040 --> 00:48:00,759
Speaker 1: zones too, because they're like, we don't then people aren't

840
00:48:00,800 --> 00:48:02,799
Speaker 1: even looking where they're going. I know, when I was

841
00:48:02,800 --> 00:48:05,920
Speaker 1: in Japan, a lot of people have selfie sticks and

842
00:48:05,920 --> 00:48:09,719
Speaker 1: are near the train platform where the wires above are electrified,

843
00:48:10,200 --> 00:48:13,520
Speaker 1: so they're like, yo, you could just straight up zap yourself,

844
00:48:13,520 --> 00:48:15,640
Speaker 1: and they have signs of like yo, put, don't don't

845
00:48:15,719 --> 00:48:18,040
Speaker 1: let us catch you with a selfie stick near these

846
00:48:18,080 --> 00:48:21,879
Speaker 1: live wires. But yeah, I mean the new smoking though.

847
00:48:21,880 --> 00:48:23,920
Speaker 1: This is like how people are killing themselves to try

848
00:48:23,920 --> 00:48:26,600
Speaker 1: and look cool and we really are just getting stupider man.

849
00:48:27,680 --> 00:48:29,960
Speaker 1: But I mean, look, I mean you know what I mean.

850
00:48:30,320 --> 00:48:32,799
Speaker 1: What I mean in the sense that are are are

851
00:48:32,880 --> 00:48:36,799
Speaker 1: like our sense of vanity and like social one upsmanship

852
00:48:37,360 --> 00:48:40,279
Speaker 1: is like starting to go into a place even more

853
00:48:40,360 --> 00:48:45,440
Speaker 1: now where you can like record like really actually avoidable death. Um.

854
00:48:45,560 --> 00:48:47,680
Speaker 1: But again, you know this is this is where side

855
00:48:47,840 --> 00:48:50,279
Speaker 1: is moving. You know, what's the craziest place you ever

856
00:48:50,320 --> 00:48:53,719
Speaker 1: took a selfie? Jack? I don't really take selfies. And

857
00:48:53,760 --> 00:48:55,480
Speaker 1: that's why you'll live to be three D because I

858
00:48:55,520 --> 00:49:00,280
Speaker 1: just have that photographer. How many photographers have you earned

859
00:49:00,320 --> 00:49:05,279
Speaker 1: through a few of unrelated what about you? I don't.

860
00:49:05,880 --> 00:49:07,839
Speaker 1: I don't think I have a good one. Also, like

861
00:49:08,080 --> 00:49:12,120
Speaker 1: I'm not that type of person, like I would not

862
00:49:12,719 --> 00:49:15,239
Speaker 1: like I'm scared of heights, like anything that could potentially

863
00:49:15,320 --> 00:49:17,560
Speaker 1: kill me, Like I'm trying to stay away from it.

864
00:49:17,760 --> 00:49:20,240
Speaker 1: Yeah good for you. Yeah me too, I'm a coward.

865
00:49:20,320 --> 00:49:23,799
Speaker 1: How about uh? When I was in London. I got.

866
00:49:23,840 --> 00:49:25,919
Speaker 1: I was on the London Eye and I got out

867
00:49:25,960 --> 00:49:28,200
Speaker 1: of the fucking pod and I climbed on top of

868
00:49:28,239 --> 00:49:30,480
Speaker 1: the car. You're not trying to get the town in

869
00:49:30,520 --> 00:49:36,319
Speaker 1: the background. And it was late, but I took it

870
00:49:36,360 --> 00:49:40,880
Speaker 1: down because I didn't want to inspire any copycats. Um.

871
00:49:40,920 --> 00:49:42,920
Speaker 1: But yeah, in the same way, like I think the

872
00:49:42,960 --> 00:49:45,960
Speaker 1: most is like I'm like seated and I'll take yourself

873
00:49:46,000 --> 00:49:50,160
Speaker 1: You're like, yeah, even walking Like also the idea when

874
00:49:50,160 --> 00:49:53,120
Speaker 1: I see people like walking and like selfing at the

875
00:49:53,160 --> 00:49:55,640
Speaker 1: same time, like I kind of cringe for them. Yeah,

876
00:49:55,680 --> 00:49:58,200
Speaker 1: I mean, but you know that's probably done something like that,

877
00:49:58,320 --> 00:50:02,120
Speaker 1: like been walking, gone vacation and like taking a picture

878
00:50:02,360 --> 00:50:04,319
Speaker 1: and like not realized I was in the middle of

879
00:50:04,360 --> 00:50:06,360
Speaker 1: the street or something like that and could have gotten

880
00:50:06,400 --> 00:50:10,120
Speaker 1: like wow. Uh yeah, I think about your kids, Jack,

881
00:50:10,520 --> 00:50:12,279
Speaker 1: and you're trying to flex on the Graham it was

882
00:50:12,320 --> 00:50:16,880
Speaker 1: before kids. Well then you know away. So this is

883
00:50:16,960 --> 00:50:21,480
Speaker 1: an interesting little release from the hater app, which I

884
00:50:21,560 --> 00:50:23,960
Speaker 1: was not familiar with, but Miles explained what the hater app.

885
00:50:24,040 --> 00:50:28,560
Speaker 1: It's basically tender for haters right. Their whole idea is

886
00:50:28,600 --> 00:50:32,160
Speaker 1: that they'll match people based not on shared interest but

887
00:50:32,320 --> 00:50:36,120
Speaker 1: shared hatred of something um which I think is called

888
00:50:36,160 --> 00:50:39,279
Speaker 1: the four Chan dating section. But yeah, their whole thing

889
00:50:39,320 --> 00:50:40,719
Speaker 1: is like you put in like what's the thing you

890
00:50:40,760 --> 00:50:43,719
Speaker 1: don't like or whatever, and every like I feel like

891
00:50:43,760 --> 00:50:46,080
Speaker 1: every year the last for the last year and a

892
00:50:46,080 --> 00:50:48,720
Speaker 1: half the apps existed, they've looked like released list before.

893
00:50:48,800 --> 00:50:51,319
Speaker 1: They're like, based on our data, these are what the

894
00:50:51,360 --> 00:50:55,440
Speaker 1: people hate most in these specific states and now they

895
00:50:55,480 --> 00:50:58,440
Speaker 1: just did when that was all based around food. And

896
00:50:58,520 --> 00:51:03,799
Speaker 1: it's a very interesting image because it just shows like

897
00:51:03,960 --> 00:51:06,720
Speaker 1: in each state what the most hated food is. Now

898
00:51:07,080 --> 00:51:11,879
Speaker 1: this in no way is real scientific data because it's

899
00:51:11,920 --> 00:51:15,320
Speaker 1: a dating app that matches people based on what they hate.

900
00:51:15,400 --> 00:51:17,440
Speaker 1: One of the first things you notice is each state

901
00:51:17,520 --> 00:51:20,440
Speaker 1: has a different food that they most hate, which is

902
00:51:20,600 --> 00:51:23,319
Speaker 1: the sign that this was edited for to be like

903
00:51:23,440 --> 00:51:26,399
Speaker 1: good content and not like to just have a bunch

904
00:51:26,400 --> 00:51:30,160
Speaker 1: of interesting information rather than actually like being a scientifically

905
00:51:30,200 --> 00:51:32,800
Speaker 1: based thing. Like no two states had the same food

906
00:51:32,840 --> 00:51:36,920
Speaker 1: that they hate the most. Love content, but yeah, so,

907
00:51:36,960 --> 00:51:38,839
Speaker 1: I mean they're just laying in some sick tent here,

908
00:51:38,960 --> 00:51:41,320
Speaker 1: sick tent and it's a good way to get people

909
00:51:41,400 --> 00:51:46,719
Speaker 1: to try and get download there. So like overly negative

910
00:51:46,719 --> 00:51:49,319
Speaker 1: cynical app. It's like, what do you fucking hate? We'll

911
00:51:49,320 --> 00:51:51,640
Speaker 1: find somebody for you. But yeah, it reads like a

912
00:51:51,719 --> 00:51:53,680
Speaker 1: thing where I don't know if this. You know, you

913
00:51:53,719 --> 00:51:56,480
Speaker 1: look at each state. Some states make sense, right, Texas

914
00:51:56,600 --> 00:51:59,719
Speaker 1: is they say steak cooked well done. Okay, I can

915
00:51:59,760 --> 00:52:02,120
Speaker 1: see how that makes sense. But they voted for Trump.

916
00:52:02,200 --> 00:52:04,279
Speaker 1: So how do you explain that? Well, how about this

917
00:52:04,400 --> 00:52:07,560
Speaker 1: New York They hate ranch on pizza, So I get

918
00:52:07,600 --> 00:52:10,560
Speaker 1: that too. I can see how as a New Yorker

919
00:52:10,680 --> 00:52:13,920
Speaker 1: you look at that kind of like, oh, that's fucking nonsense, right,

920
00:52:13,960 --> 00:52:16,879
Speaker 1: But again, you don't know where these people are using

921
00:52:16,880 --> 00:52:19,000
Speaker 1: this app, So I would just reckon that it is

922
00:52:19,040 --> 00:52:22,000
Speaker 1: like whatever the most like the two most populated cities

923
00:52:22,000 --> 00:52:27,000
Speaker 1: are actually determining what each state actually hates. Because California's

924
00:52:27,200 --> 00:52:31,359
Speaker 1: chick fil A. That doesn't man, I I drive by

925
00:52:31,440 --> 00:52:33,000
Speaker 1: Chick fil A, I go to Chick fil A. You know,

926
00:52:33,280 --> 00:52:35,799
Speaker 1: I see people there. They got past it. I don't

927
00:52:35,800 --> 00:52:37,239
Speaker 1: know what's going on. But again, I feel like if

928
00:52:37,239 --> 00:52:39,160
Speaker 1: you're on an app and you're trying to find a mate,

929
00:52:39,160 --> 00:52:40,800
Speaker 1: you would say I hate Chick fil A because that

930
00:52:40,800 --> 00:52:44,239
Speaker 1: will probably mean someone who does not appreciate homophobia, you

931
00:52:44,280 --> 00:52:46,279
Speaker 1: know what I mean? And then that way, you know,

932
00:52:46,719 --> 00:52:48,640
Speaker 1: if you put that ship there, you're not gonna get

933
00:52:48,680 --> 00:52:51,400
Speaker 1: some weird yeah like which and or you're just a

934
00:52:51,480 --> 00:52:53,919
Speaker 1: dude who's like, hey, this will make me seem more

935
00:52:54,000 --> 00:52:56,839
Speaker 1: like woke or whatever. So you never know someone's motive

936
00:52:56,960 --> 00:53:01,560
Speaker 1: literal virtue signaling. Massachu is my home state is mayonnaise

937
00:53:01,560 --> 00:53:05,560
Speaker 1: on fries. That's a as a as a chup head

938
00:53:05,880 --> 00:53:11,399
Speaker 1: myself and I strongly disagree. I don't know that. Sure, yeah,

939
00:53:11,640 --> 00:53:14,919
Speaker 1: sure yeah, start a new podcast chupo trap house later,

940
00:53:15,680 --> 00:53:18,920
Speaker 1: but yeah, like what I don't understand is North Dakota

941
00:53:19,040 --> 00:53:22,759
Speaker 1: was tap Us, Like so you hate everything about tap Us?

942
00:53:22,840 --> 00:53:25,320
Speaker 1: Or did there was there one Tapas restaurant that opened

943
00:53:25,400 --> 00:53:29,080
Speaker 1: up and you're like, man, fuck, I have my most

944
00:53:29,120 --> 00:53:32,320
Speaker 1: baffling one that I'll get to. But there is another

945
00:53:32,400 --> 00:53:34,560
Speaker 1: trend that you see that is basically the reverse of

946
00:53:34,640 --> 00:53:37,160
Speaker 1: virtue signaling, where it's like, we don't give a funk

947
00:53:37,160 --> 00:53:41,319
Speaker 1: about you. East Coasters like West Virginia is tofu uh,

948
00:53:41,760 --> 00:53:46,520
Speaker 1: Kentucky is hummus because you know which one's lacroix. I

949
00:53:46,520 --> 00:53:53,720
Speaker 1: don't know what. Yeah, Colorado they hate flaming hot cheetahs.

950
00:53:53,840 --> 00:53:56,839
Speaker 1: I don't know how the weed you smoke up there, Oklahoma.

951
00:53:56,920 --> 00:53:59,200
Speaker 1: Not liking veggie burgers. I get that, you know, right,

952
00:53:59,360 --> 00:54:01,719
Speaker 1: that's what you would expect. There's one that's okay. There

953
00:54:01,800 --> 00:54:04,839
Speaker 1: are a few I'm interested in with Jack's Bath. One

954
00:54:04,920 --> 00:54:07,080
Speaker 1: is a few were throwing me here. Okay, what do

955
00:54:07,120 --> 00:54:10,319
Speaker 1: you got? What's what's really throwing you? Was? I don't

956
00:54:10,400 --> 00:54:14,920
Speaker 1: understand foraged food Tennessee, and foraged food is like a

957
00:54:15,000 --> 00:54:18,760
Speaker 1: hippie dippy like trend. So they're like, fuck you, lefty,

958
00:54:19,080 --> 00:54:24,120
Speaker 1: foraged food. We pay for our food in Tennessee. That's

959
00:54:24,120 --> 00:54:27,280
Speaker 1: another fish and it's just you know, it's like basically

960
00:54:27,360 --> 00:54:31,040
Speaker 1: going around gathering your wild food up. And they're like, okay,

961
00:54:31,239 --> 00:54:34,600
Speaker 1: Keene was one like that where they're like so right.

962
00:54:34,960 --> 00:54:38,719
Speaker 1: Also Arkansas Cilantro, Yeah, I mean if that's just like

963
00:54:39,000 --> 00:54:42,319
Speaker 1: I like the Alabama it was just straight up Chippotle. Yeah,

964
00:54:42,520 --> 00:54:46,320
Speaker 1: like there dogs loud and clear, my man, you know,

965
00:54:46,520 --> 00:54:50,319
Speaker 1: not funk with Chippotle. Florida Liquor is just bumping me too,

966
00:54:51,160 --> 00:54:53,600
Speaker 1: What is that? Okay? So this is this is the

967
00:54:53,680 --> 00:54:57,600
Speaker 1: third category that we were talking about earlier, which is

968
00:54:57,719 --> 00:55:01,919
Speaker 1: there's like some self hatred slash self deception where it's

969
00:55:01,960 --> 00:55:06,239
Speaker 1: like licorice is They're like, we're not all old, we

970
00:55:06,280 --> 00:55:10,120
Speaker 1: hate licorice. It's like where those originals and licorice are

971
00:55:10,160 --> 00:55:13,120
Speaker 1: the things they hate. And another state that you see

972
00:55:13,520 --> 00:55:16,720
Speaker 1: that trend is in New Jersey where their most hated

973
00:55:16,760 --> 00:55:21,120
Speaker 1: food is gas station wine. It's like specific because you

974
00:55:21,120 --> 00:55:23,280
Speaker 1: don't want to be seen as a bridge and tunnel person,

975
00:55:23,800 --> 00:55:27,760
Speaker 1: corner piece of a brownie. That that one is very

976
00:55:27,800 --> 00:55:30,840
Speaker 1: confusing to me. Or what Missouri's is the last bite

977
00:55:30,840 --> 00:55:34,440
Speaker 1: of a hot dog? Yeah that Why do people just

978
00:55:34,680 --> 00:55:38,480
Speaker 1: like rap? Do you just be like, fuck, this is

979
00:55:38,480 --> 00:55:40,200
Speaker 1: the thing I hate about you, the hot dog man?

980
00:55:40,320 --> 00:55:43,080
Speaker 1: That last bite? Yeah? They are they just saying I

981
00:55:43,120 --> 00:55:45,359
Speaker 1: love hot dogs so much. I hate when they end.

982
00:55:45,640 --> 00:55:55,120
Speaker 1: Oh I just it's just so tortured, Like I'm so sorry.

983
00:55:53,360 --> 00:55:57,880
Speaker 1: Do you guys not like the last bite of a banana?

984
00:55:58,120 --> 00:56:00,239
Speaker 1: Do you have anything? I don't even eat banana even

985
00:56:01,320 --> 00:56:04,279
Speaker 1: they're not. Yeah, I don't love it. It's not my

986
00:56:04,400 --> 00:56:08,839
Speaker 1: favorite bite. It does bother me a little bit. And

987
00:56:09,120 --> 00:56:11,279
Speaker 1: one time I was in a forum and like there

988
00:56:11,360 --> 00:56:13,239
Speaker 1: was a big thread of people being like I hate

989
00:56:13,239 --> 00:56:15,640
Speaker 1: it too, Like we all just discovered we didn't like

990
00:56:16,800 --> 00:56:19,880
Speaker 1: it's because it's like everything meets there and it like

991
00:56:20,040 --> 00:56:23,840
Speaker 1: becomes this, Like it's not even worse. It tastes exactly

992
00:56:23,920 --> 00:56:25,600
Speaker 1: like the rest of the banana, but it's just like

993
00:56:25,680 --> 00:56:28,239
Speaker 1: some weird unconscious thing. You know. Actually now that I

994
00:56:28,239 --> 00:56:30,359
Speaker 1: think about as a kid, my dad would be like, yo,

995
00:56:30,400 --> 00:56:32,239
Speaker 1: you better finish that fucking thing, because I would get

996
00:56:32,239 --> 00:56:34,879
Speaker 1: to that part and now, Yeah, I just wonder if

997
00:56:34,880 --> 00:56:38,320
Speaker 1: that's the same as too dick shaped foods. I wonder

998
00:56:38,360 --> 00:56:41,600
Speaker 1: if there's like some unconscious thing about like, oh, well,

999
00:56:41,640 --> 00:56:44,520
Speaker 1: it's the tip and it's like where it gets all

1000
00:56:45,400 --> 00:56:47,680
Speaker 1: I don't know, mashed together. You don't want to eat

1001
00:56:47,719 --> 00:56:51,560
Speaker 1: the whole penis rights. Why do they hate Coca Cola

1002
00:56:51,600 --> 00:56:54,680
Speaker 1: and Hawaii? Because is there something going on? I don't know,

1003
00:56:55,040 --> 00:56:57,719
Speaker 1: did they like did Coca Cola help with the annexation

1004
00:56:57,840 --> 00:57:01,000
Speaker 1: of Hawaii? Or like, is there a political reason why

1005
00:57:01,080 --> 00:57:04,839
Speaker 1: everyone in Alaska hates a specific brand of water. That's

1006
00:57:04,880 --> 00:57:07,520
Speaker 1: a very good question. Water. I just said water like

1007
00:57:07,520 --> 00:57:13,600
Speaker 1: I'm from Baltimore. I mean, yeah, some things, it's it's

1008
00:57:13,600 --> 00:57:16,440
Speaker 1: just very interesting to see it. Again, this is not scientific,

1009
00:57:16,480 --> 00:57:18,920
Speaker 1: so I would not trust this. We took a survey

1010
00:57:19,000 --> 00:57:23,959
Speaker 1: of hateful people. I mean, pumpkin spice, anything that there's

1011
00:57:24,000 --> 00:57:26,160
Speaker 1: something that are just trendy. I think that's is that

1012
00:57:26,280 --> 00:57:29,320
Speaker 1: not in North Dakota. No top us is North Dakota

1013
00:57:30,120 --> 00:57:34,840
Speaker 1: and then Idaho. They hate dim some and main hate

1014
00:57:34,960 --> 00:57:40,040
Speaker 1: Asian fusion. Come on, I like Maine and I am literally,

1015
00:57:40,560 --> 00:57:43,280
Speaker 1: I'm literally Asian fusion. I've been I played hockey there

1016
00:57:43,280 --> 00:57:47,280
Speaker 1: a couple of times. I mean for ice related activity. Yeah,

1017
00:57:47,320 --> 00:57:50,960
Speaker 1: here's the thing. Last time I was there eleven years old. Yeah,

1018
00:57:51,480 --> 00:57:53,959
Speaker 1: when you're eleven years old, does I get you? Who?

1019
00:57:54,040 --> 00:57:57,760
Speaker 1: I mean? There are some wonderful people, but there's also

1020
00:57:57,880 --> 00:58:00,960
Speaker 1: some scary people in Maine. That's what it's intrigued about me,

1021
00:58:01,040 --> 00:58:04,080
Speaker 1: because there is like this sort of wilderness culture out

1022
00:58:04,120 --> 00:58:07,000
Speaker 1: there still where the yaucking Main. I spent a lot

1023
00:58:07,000 --> 00:58:09,120
Speaker 1: of time in growing up because my grandma lived there

1024
00:58:09,240 --> 00:58:12,960
Speaker 1: and she the like neighborhood she lived in it like

1025
00:58:13,120 --> 00:58:16,480
Speaker 1: ran the gamut in terms of like political opinions and

1026
00:58:16,520 --> 00:58:21,680
Speaker 1: like it's just it's a people were live wires in

1027
00:58:21,800 --> 00:58:25,480
Speaker 1: me and there's a lot of space to yell, a

1028
00:58:25,480 --> 00:58:30,919
Speaker 1: lot of beautiful nature up there. Love yelling, love yelling. Hey,

1029
00:58:31,120 --> 00:58:34,080
Speaker 1: Stephen King didn't come from nowhere. Steve Stephen King lived

1030
00:58:34,080 --> 00:58:37,200
Speaker 1: in the same town. Really Yeah. Also, what's going on

1031
00:58:37,240 --> 00:58:41,320
Speaker 1: with Nebraska not liking chili peppers? Yeah, I feel like

1032
00:58:41,400 --> 00:58:43,040
Speaker 1: that might be. I feel like that might be one

1033
00:58:43,040 --> 00:58:47,920
Speaker 1: of those because it's like too much where it's like, Oh, Colorado,

1034
00:58:48,000 --> 00:58:53,400
Speaker 1: who's who hates flaming hot? Yeah? Why speak speak up?

1035
00:58:54,280 --> 00:58:58,120
Speaker 1: Very white white state. I feel like you would think

1036
00:58:58,120 --> 00:59:02,440
Speaker 1: that flaming hots. I've everyone loves flame it hot a

1037
00:59:02,480 --> 00:59:04,840
Speaker 1: place where weed is legal, you would. I feel like

1038
00:59:04,880 --> 00:59:08,000
Speaker 1: Colorado there would be an unusual like if you were

1039
00:59:08,080 --> 00:59:10,880
Speaker 1: percentage wise breaking down flaming hot induced u t I

1040
00:59:11,000 --> 00:59:15,120
Speaker 1: state by state, Colorado will be up there. Yeah, who knows.

1041
00:59:15,560 --> 00:59:18,560
Speaker 1: And then in Oregon there's was fast food that feels

1042
00:59:18,560 --> 00:59:21,680
Speaker 1: like a Portland vibe. Yeah, like because that feels like

1043
00:59:21,720 --> 00:59:26,240
Speaker 1: that would probably the biggest. Yeah, they're just like, come on, man, Eugene,

1044
00:59:26,440 --> 00:59:30,200
Speaker 1: keep your fast foods. Like just let your neighbor baby

1045
00:59:30,320 --> 00:59:34,440
Speaker 1: bird into your mouth. It's just as good. And then

1046
00:59:34,440 --> 00:59:37,560
Speaker 1: New Mexico that hates chicken nuggets, got it. That's a

1047
00:59:37,680 --> 00:59:40,160
Speaker 1: very odd thing. It like, I can I get if

1048
00:59:40,160 --> 00:59:43,320
Speaker 1: you hate Keena or something or some people don't like

1049
00:59:43,400 --> 00:59:48,400
Speaker 1: biting string cheese. Very offended, but that was Illinois action,

1050
00:59:48,560 --> 00:59:51,520
Speaker 1: not a that's confusing to Yeah, but I like that

1051
00:59:51,560 --> 00:59:54,200
Speaker 1: as a pet peeve though, because I I know, I

1052
00:59:54,240 --> 00:59:56,400
Speaker 1: get the first time I remember seeing as a kid,

1053
00:59:56,600 --> 01:00:00,800
Speaker 1: some fucking psycho caveman kid. I want to go and

1054
01:00:00,880 --> 01:00:04,440
Speaker 1: bite a fucking cheetless string cheese. Are you doing? You

1055
01:00:04,520 --> 01:00:08,640
Speaker 1: do it? You thread it down to you're holding fucking spiderwell,

1056
01:00:08,720 --> 01:00:12,240
Speaker 1: so much wasted flavor? Yeah. Um. The one that I'm

1057
01:00:12,240 --> 01:00:19,320
Speaker 1: most confused by is Minnesota beans. Mmm, I just don't beans.

1058
01:00:19,840 --> 01:00:22,480
Speaker 1: They're showing string beans. It looks like so is it

1059
01:00:22,520 --> 01:00:25,400
Speaker 1: because it cast roles? I don't know. You'd think Minnesota

1060
01:00:25,440 --> 01:00:28,960
Speaker 1: would be way into cast roles. Also, yeah, trying to yeah,

1061
01:00:29,120 --> 01:00:33,720
Speaker 1: like disperse. There's New Hampshire hates expensive cocktails. Yeah yeah.

1062
01:00:33,800 --> 01:00:36,200
Speaker 1: And for the spray cheese, they're like, we take our

1063
01:00:36,240 --> 01:00:38,640
Speaker 1: sharpshedar very serious. Most of it just seems to be

1064
01:00:38,800 --> 01:00:42,960
Speaker 1: rural virtue signaling, where they're like, I don't fumba and

1065
01:00:43,360 --> 01:00:47,400
Speaker 1: think California's virtually signaling to like, no, not here bro

1066
01:00:48,680 --> 01:00:54,200
Speaker 1: that Pennsylvania. What is wrong with balsamic vinegar? That is

1067
01:00:54,280 --> 01:00:59,160
Speaker 1: also oddly specifically like I hate balsamic vinegar. Balsamic vinegar

1068
01:00:59,360 --> 01:01:03,680
Speaker 1: is like considered crack in Utah. That's too much. They

1069
01:01:03,720 --> 01:01:08,160
Speaker 1: don't sell it on Sunday Maine. We're not monsters. You

1070
01:01:08,200 --> 01:01:20,360
Speaker 1: don't do balsamic balsamic vinegar right now? Um, all right,

1071
01:01:20,640 --> 01:01:25,000
Speaker 1: that's gonna do it for this week's weekly Zeitgeist. Please

1072
01:01:25,160 --> 01:01:28,400
Speaker 1: like and review the show. If you like the show,

1073
01:01:29,120 --> 01:01:33,400
Speaker 1: h means the world to Miles. He needs your validation, folks.

1074
01:01:34,040 --> 01:01:37,080
Speaker 1: I hope you're having a great weekend and I will

1075
01:01:37,120 --> 01:01:38,440
Speaker 1: talk to him Monday. By