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

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

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

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

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Speaker 1: do like to ask our guests, what is something from

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Speaker 1: your search history?

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Speaker 2: Okay, so I have recently gone insane, and thank you

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Speaker 2: so much Smith. I've been working so hard. It's really

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Speaker 2: just it's just an honor to be nominated.

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Speaker 3: And then right, yeah, truly on your first try.

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Speaker 2: This is how you know I'm insane. Okay. I went

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Speaker 2: from not caring or liking Taylor Swift at all to

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Speaker 2: now joining a reddit called galer where I have seen

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Speaker 2: multiple slide show presentations that prove that Taylor Swift was

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Speaker 2: gay with Carly Kloss and others that proved that she

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Speaker 2: was also gay with Diana Agron from Glee and also

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Speaker 2: this other model from Britain named Lily. They are all

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Speaker 2: just the same white woman. She's just fucking herself over

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Speaker 2: and over again. It's just like kind of fascinating. And

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Speaker 2: now like, this is how you know I've gone insane,

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Speaker 2: Because if you look at that search history, you will

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Speaker 2: probably think I am seventeen maybe I don't know, and.

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Speaker 3: You're shipping shipping Taylor with all these models.

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Speaker 2: I like, I don't care that. It's like I don't

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Speaker 2: have a vested interest in the relationships, right, I care

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Speaker 2: about it in the same way that if, like you

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Speaker 2: found out that, like I don't know, Obama and Biden

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Speaker 2: were lovers, you were like, Okay, I need to know

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Speaker 2: a little bit more about how the fuck this works,

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Speaker 2: Like how did you pull this off?

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Speaker 3: When did they get together? I need to all of

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Speaker 3: the questions.

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Speaker 2: Yeah, it's like, well, how do you do that and

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Speaker 2: have full time boyfriends? Like this is a lot of

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Speaker 2: like like covering being gay, Like how how are you

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Speaker 2: pulling it off? So anyway, just if you want to

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Speaker 2: lose your goddamn mind, go down that rabbit hole.

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Speaker 3: Are these slide shows like particularly compelling or they're just

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Speaker 3: like look at all these images that if you have

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Speaker 3: your confirmation bias set to galer, then yes.

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Speaker 2: And yes, But also some of the stuff is like, wow,

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Speaker 2: that is very gay. I don't know that I should

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Speaker 2: be out here trying to decide whether Taylor is gay

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Speaker 2: or not. But the whole reddit is run by other

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Speaker 2: gay people who are just obsessed with the idea that like,

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Speaker 2: she's queer and her music is queer, and she's been

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Speaker 2: telling us and showing us and we're just like not

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Speaker 2: getting it. So as a cultural study, it is the

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Speaker 2: most fascinating thing. And to answer just I show a question,

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Speaker 2: some of them are like they're like a little thumbprint.

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Speaker 2: They're like a very individual snapshot of a person's mind. Right,

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Speaker 2: it's like all confirmation bias obviously, Yeah, but you're also

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Speaker 2: watching them interr pret song lyrics where you're like, oh, no,

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Speaker 2: that just means any and you want it to me.

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Speaker 2: That is a very vague lyric like no, it refers

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Speaker 2: to the one time that Carly bought a gold dress.

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Speaker 2: It was this day, here's the receipt. The song that

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Speaker 2: says jeans and Nikes. Carly was a Nike spokesperson in

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Speaker 2: twenty sixteen. You understand how deep.

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Speaker 3: These women go. I love that you You also have

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Speaker 3: facts now that like you know these models like endorsement.

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Speaker 2: I shouldn't know any of this. That is what's so insane.

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Speaker 2: I shouldn't know any of it. I shouldn't be thinking

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Speaker 2: about it. It is like an addiction, Like I think

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Speaker 2: assume what people feel like when they gamble, just like

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Speaker 2: a rush.

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Speaker 3: Yeah, it's like.

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Speaker 2: Insane, and then it doesn't make any sense, but you're like,

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Speaker 2: let's keep doing it. Yeah, anyway, the gay the subreddit

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Speaker 2: do it.

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Speaker 1: She kind of has to be everything to everyone right, right,

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Speaker 1: and so like by keeping things that perfectly vague, yeah,

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Speaker 1: it kind of creates this thing where she can like

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Speaker 1: break all the box office records when she lets people

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Speaker 1: go watch a concert that they can also watch in person.

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Speaker 2: Yes, but I also just enjoy the fact that, like

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Speaker 2: she's just if she is gay, she's only gay for

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Speaker 2: exact copies of herself, which I think is a fascinating category.

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Speaker 2: It's like, no, she's not clear, she's queer for Taylor, right,

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Speaker 2: Like I just want to find mirror images of myself too. Fuck,

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Speaker 2: that is so wild.

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Speaker 1: Wasn't that Liberaci's thing? Like didn't he have a lover

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Speaker 1: who he gave plastic surgery to look more like Liberaci?

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Speaker 3: Oh?

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Speaker 2: Wow, yes that is true.

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Speaker 3: Yeah you said that's so unequivocally, Yes, that is true.

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Speaker 2: Well, because yeah, I mean people bring that up a

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Speaker 2: lot as like a Libaraci thing. They're like, did you

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Speaker 2: know because it's so weird.

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Speaker 3: I wonder if, like, I think it's an interesting exercise

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Speaker 3: just for anyone with an imagination to try and make

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Speaker 3: anything true about Taylor Swift, like using the same methodology.

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Speaker 3: We're like you Actually, if you think about it, all

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Speaker 3: of her lyrics are steeped in like black panther ideology.

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Speaker 2: There's someone right now making that slideshow right right right,

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Speaker 2: like foresure, there's a Swift contingency that's like, you don't

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Speaker 2: understand what being a black panther is until you listen

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Speaker 2: to Red Taylor's version, like.

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Speaker 3: Red is actually an anthem for the Crip gang despite

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Speaker 3: it being called Red. And here in this thread, I will,

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Speaker 3: I will.

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Speaker 1: You've seen the theory that her dad is the Zodiac killer, right,

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Speaker 1: and she's trying to reveal that through her lyrics. I

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Speaker 1: just made that up, But.

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Speaker 2: That is again probably being built right now. Right as

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Speaker 2: you said it, people were like, this is true, Sady.

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Speaker 1: What's something you think is overrated?

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Speaker 4: So I think you know, when you go to the

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Speaker 4: like basically the US Border patrol, the fear of US

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Speaker 4: Border patrol, I think that's overrated because I was like,

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Speaker 4: it's my first time coming to America and people were like, oh,

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Speaker 4: this white guy got sent back. He the border patrol

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Speaker 4: guy asked him three times, what are you doing here?

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Speaker 5: What are you doing here?

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Speaker 4: And the third time he must have said something funny,

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Speaker 4: and they sent him back. So I was like, oh

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Speaker 4: my god, they're not gonna let me in and they're

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Speaker 4: gonna send me back. And this is what happened. The

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Speaker 4: guy basically was like, did you travel alone? And I

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Speaker 4: was like yeah, unfortunately, I'm on my I'm single. And

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Speaker 4: he was like how long you here for us had

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Speaker 4: two months? And he was like, oh, you here to

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Speaker 4: get some dick.

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Speaker 2: I was like what wa Yeah.

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Speaker 4: Basically we just start laughing. I had a whole suitcase

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Speaker 4: full of my book sex Well. I'm like, oh no, please,

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Speaker 4: don't search my suitcase. And he was just like, welcome

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Speaker 4: to America.

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Speaker 3: Yeah, wow, get it in. Yeah, boom boom, stamped your

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Speaker 3: ship af you go.

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Speaker 5: I was gone.

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Speaker 4: I was I was going to do anything I had

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Speaker 4: to do to get in, to be honest, whatever he wanted.

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Speaker 1: So, I mean that sounded like he was opening the

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Speaker 1: door to that conversation. He's like, oh, is your numbering

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Speaker 1: your passport? Let me see that real quick. Let me

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Speaker 1: get that whatsappen.

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Speaker 4: But the thing is before me, I was sweating in

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Speaker 4: the lines. Before me, there was this like European. She

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Speaker 4: didn't look British, but she was a white blonde girl.

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Speaker 4: He took her to the room and then came back

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Speaker 4: to the table so she had some further questioning. So

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Speaker 4: I was like, that's a white girl. I was like,

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Speaker 4: I'm in trouble, and we just start laughing. It was

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Speaker 4: I was just so happy the way that worked out.

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Speaker 3: Yeah. Yeah, I don't, I don't. I can't imagine. I mean,

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Speaker 3: like I feel like I was a very New York

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Speaker 3: in her eye show too, Like if someone in that

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Speaker 3: capacity goes, oh so you hear from Dick like.

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Speaker 5: That accommodating, right, yeah yeah, oh yeah, yeah.

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Speaker 3: I'm glad he knew the audience rather than like saying

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Speaker 3: that to someone who maybe.

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Speaker 4: I just love how he sensed desperation, you know what

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Speaker 4: I mean, Like he didn't know me, he must have

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Speaker 4: just seen my but he was like, why are you

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Speaker 4: moving around in the in the queue. I was worried

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Speaker 4: about him. He must have thought I was like just

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Speaker 4: ready to pounce right right.

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Speaker 1: He was like asking, why were you were like giving

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Speaker 1: a little squirm.

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Speaker 2: What was Yeah.

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Speaker 4: He was like, oh you're you're moving from side to side,

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Speaker 4: and I was like, I just be quiet because I

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Speaker 4: just I'm not going to argue with no one who's

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Speaker 4: got authority over me.

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Speaker 5: Like it's just not going to happen.

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Speaker 3: Right right, right, right right. You're like, oh, so you're

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Speaker 3: a doctor. Now You're like you're not going to come

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Speaker 3: back with that response, like, yeah.

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Speaker 4: I don't know what I said. I must have said

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Speaker 4: something back to him. I said, oh, you're no, this

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Speaker 4: is what I said the castlicer. I mustaid, Oh, you're

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Speaker 4: very observant.

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Speaker 1: There, you I mean, yeah, he is.

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Speaker 6: He kind of landed on the on the right question, right, Yeah,

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Speaker 6: so wait, maybe like there are some people work in

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Speaker 6: the US Border Patrol who are like born for this,

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Speaker 6: Like I'm.

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Speaker 1: Just very observant and.

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Speaker 3: I can read people I know, and that's why super.

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Speaker 1: Right, yeah, right exactly. The nervous person in line whisper.

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Speaker 3: Right while you're here, So two months are you are you?

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Speaker 3: Are you out there? You're gonna be you be hitting

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Speaker 3: the app so you're gonna you staying open, you're looking

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Speaker 3: for love. You just kind of you know you're here

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Speaker 3: if someone happens, it happens, you're not how you're really

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Speaker 3: looking for.

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Speaker 4: Someone told me actually when I was in England because

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Speaker 4: I'm trying to like find an agent or whatever not,

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Speaker 4: and they were like, oh, you should just join all

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Speaker 4: the apps, like because you'll meet the best people like that.

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Speaker 4: She wasn't even really strictly talking about dating. But I'm

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Speaker 4: very anti app. I just I just I don't like it.

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Speaker 4: I like real life kind of stuff. So love would

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Speaker 4: be great, Dick would be really good.

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Speaker 3: Yeah, yeah, yeah, get you. Yeah, we need to get

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Speaker 3: you to like an art opening, like a gallery opening,

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Speaker 3: you know what I mean, find some find some wavy.

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Speaker 5: Listen these guys on the streets collecting cans.

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Speaker 3: Yeah yeah, You're like, are you willing and able? Then?

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Speaker 5: No, I love them. I pasted out. You know, I'm

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Speaker 5: gonna lie.

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Speaker 3: I love them?

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Speaker 5: Are not willing and they're not able?

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Speaker 3: Yeah?

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Speaker 1: Like Myles, I like that you went with art opening,

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Speaker 1: Like are you are you picturing Thomas Crown Affair? What

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Speaker 1: do we picturing?

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Speaker 5: Now?

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Speaker 3: Just thinking like people who are kind of chill, you know,

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Speaker 3: like because you never know what you get in a club,

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Speaker 3: you know, so I feel like.

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Speaker 5: You know, tell me. You can't get in the club,

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Speaker 5: so I can watch out for it.

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Speaker 3: But yeah, I feel like side, you got a little

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Speaker 3: bit of class tour, you know, so probably you could

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Speaker 3: do with something a little bit elevated, you know what

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Speaker 3: I mean, not just some scrub. But yeah, but again,

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Speaker 3: I don't know.

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Speaker 5: I don't mean I'm like classy too.

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Speaker 3: I'm yeah, right, my final dress at the library.

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Speaker 1: Looking for something? All right, what is Marcella? What is

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Speaker 1: something that you think is overrated? You know?

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Speaker 7: I couldn't think of something maybe because I.

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Speaker 5: Got a little high.

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Speaker 1: But yeah, you got a little high, A little high

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Speaker 1: this time, ladies and gentlemen, introducing a little bit high

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Speaker 1: Marcella for the first time. She's never been a little bit.

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Speaker 7: High on our podcast, on anyone's podcast. Okay, I trust you, guys.

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Speaker 3: Yeah, I saw that.

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Speaker 7: I thought there was not going to be a guest host.

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Speaker 7: I was like, you know what, I can get a

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Speaker 7: little high. I read the comments. People get mad and

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Speaker 7: I'm so mean to Jack and I know, and I'm

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Speaker 7: a little high. I'm a little more.

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Speaker 3: I like that Jackie's fun. It's all good.

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Speaker 7: I love how I loved Jack's liked you nice to

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Speaker 7: Marcelo when she's mean to me. Guys, it's okay, Yeah,

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Speaker 7: I mean a lot of And you know what's funny

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Speaker 7: is a lot of guys don't understand it too. There's

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Speaker 7: a comic who's like, has a little crush on me,

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Speaker 7: and I'm just very mean to him. Yeah, and I

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Speaker 7: really give it to him more because i know he

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Speaker 7: really enjoys it, and I'm waiting for him. I'm waiting

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Speaker 7: for him to be like, Marcella, why are you so mean?

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Speaker 7: And I can't wait to be like, stop asking me

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Speaker 7: why I'm so mean? And ask yourself why you like it?

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Speaker 5: You bitch.

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Speaker 7: Oh that's going to be a moment when he when

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Speaker 7: I have that exchange. I wait, I know it's gonna

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Speaker 7: happen one day because this is such a mean Why

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Speaker 7: do you like it?

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Speaker 2: You?

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Speaker 7: Yeah, that's the real question. What's your mom do to you?

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Speaker 5: Bro?

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Speaker 7: That's what I want to know.

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Speaker 3: What didn't you do?

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Speaker 1: You little pain?

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Speaker 5: Hug?

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Speaker 2: So yeah, I'm a.

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Speaker 7: Little high, So I'm a little I'm a little more

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Speaker 7: fun and a little more rambling.

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Speaker 3: But it'll be.

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Speaker 7: Worth it, guys. So like I just showed you, but

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Speaker 7: over under it, I couldn't think of something. But so

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Speaker 7: I decided to google things like what did people find overrated?

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Speaker 3: Because I was like, there you go.

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Speaker 7: This is because it's all it's all opinion. So the

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Speaker 7: top three things in the first three articles. The number

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Speaker 7: one thing one bitch wrote bacon overrated. It's overrated. Okay,

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Speaker 7: so I already know the bitch has no taste.

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Speaker 1: Like, I also feel like you're about to out a

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Speaker 1: bunch of our former guests because they're like, what if

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Speaker 1: you well, what if you like named a bunch of

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Speaker 1: like other people overrated and underrated, and they were just

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Speaker 1: like googling, like, I don't have opinions are overrated.

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Speaker 7: That's probably true to think about that. You're totally right.

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Speaker 7: But bacon, come on, yeah, it's simple meat. It's so good.

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Speaker 3: I think we've said this in the in the past.

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Speaker 3: We're like, it's properly rated. I get like, ten years ago,

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Speaker 3: we were doing too much.

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Speaker 1: It was o debates, overrated by some people who are

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Speaker 1: not worth paying attention to. Nobody who are bacon people? Yeah,

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Speaker 1: but like who gives a fuck about them? Like let

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Speaker 1: them have their weird little thing.

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Speaker 3: Yeah, go to the like as they say, it's like

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Speaker 3: the fucking heart attack cafe or whatever the fuck it's called,

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Speaker 3: where like everything is bacon, Like I get it, we

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Speaker 3: get it, but like you don't, don't you gotta hate

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Speaker 3: on it?

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Speaker 7: Yeah, it's so tasty, it's so good good.

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Speaker 1: What else was about when you find yourself being like, uh,

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Speaker 1: like I don't even really like this thing. That's fucking

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Speaker 1: delicious and like makes my body like involuntarily do things

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Speaker 1: like water just pour out of my mouth.

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Speaker 3: Oh my god.

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Speaker 5: Wow.

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Speaker 1: But when that's your take, like you're you're working too

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Speaker 1: hard to have a take exactly.

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Speaker 7: I also just you know, it's good when religions are

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Speaker 7: like you cannot have it, like you know.

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Speaker 3: That shit is good?

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Speaker 5: Man?

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Speaker 7: Ready here? So another okay, another article. I'm not going

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Speaker 7: to name these people because they're all weirdos. But another

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Speaker 7: person they're article and her number one choice was clubbing, clubbing,

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Speaker 7: going out clubbing, and it was just like you loser, bitch, like,

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Speaker 7: stop imposing your introverted lifestyle on people who enjoy being outside.

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Speaker 3: When was the last time you went to the club? Though,

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Speaker 3: more so you go to the club.

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Speaker 7: Well, because of my foot injury, it has been few

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Speaker 7: and far between, but I will say, like two weeks

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Speaker 7: ago I think I was like my birthday party weekend,

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Speaker 7: so was at what middle of August? So yeah, like

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Speaker 7: a couple of weeks ago. I was out and I

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Speaker 7: because my foot injury, couldn't really do much. But yeah,

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Speaker 7: I took my boyfriend to this place in Medesto called Crocodile.

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Speaker 7: It's like this old ass like it is a wedding

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Speaker 7: reception without the family. It is so fun. There's like

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Speaker 7: no drinks on the dance floor. They encourage people to

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Speaker 7: dress up. There is a strict dress code and not

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Speaker 7: like not on some like racist dress code on some

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Speaker 7: like don't come in here, sloppy bro. Like guys have

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Speaker 7: to have their shirts buttoned up. If they wear a

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Speaker 7: button up, like you cannot have a little like tank

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Speaker 7: top showing underneath. Like they're very much like no, bro,

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Speaker 7: We're here to dance and drink and have a good

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Speaker 7: time and respect everybody. And they're on it. Like I

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Speaker 7: saw them go up to some guy, some young dude,

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Speaker 7: because he thought he could get away with whatever. He

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Speaker 7: was dressed up really cute, but he unbuttoned his shirt

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Speaker 7: to like show off, and dudes came up and were like,

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Speaker 7: you need to button your shirt back up. Bro, and

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Speaker 7: I loved it because I was like, yeah, I got

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Speaker 7: dressed up. You should dressed up too. Couples like seventy

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Speaker 7: year old couples come in there dressed matching and dance

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Speaker 7: the night away. Like I love going out dancing, and

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Speaker 7: that's maybe that doesn't fall under clubbing, but there are

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Speaker 7: places to go out and have a good time and

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Speaker 7: dance and enjoy yourself. And I hate when people are

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Speaker 7: like clubbing is so lame, Like, girl, you just don't

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Speaker 7: like to drink and be out and it's loud and

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Speaker 7: you're probably neurodivergent. You can't handle all the fucking sensory overload.

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Speaker 1: Shit that's you might toothes like like this, this shit

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Speaker 1: sounds so fun. We have another guest to talk about,

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Speaker 1: like going to like there was like a chandelier room

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Speaker 1: where they were like singing Elvis covers or some shit

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Speaker 1: like just like go find a weird club.

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Speaker 7: To find the club, Yes, find the club that works

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Speaker 7: for you. But I don't shit on clubbing. Come on

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Speaker 7: and Jersey Shore shit, I get like you don't want

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Speaker 7: to be around that. I understand, Like, sure, you know

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Speaker 7: there's so many different What.

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Speaker 3: About bottle Wars did y'all see that clip over the

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Speaker 3: weekend of the bottle warship that was going on. I know,

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Speaker 3: like a Houston nightclub. It was like New York versus Baltimore.

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Speaker 3: Bottle It's like this ship people have been doing for

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Speaker 3: a while. You just start, you just start emptying bottles

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Speaker 3: onto the floor for the flex. Oh god, dumping like

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Speaker 3: six thousand dollars with their liquor, like onto the floor. Yeah,

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Speaker 3: it's it's the flex, you know what I mean. It

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Speaker 3: manifests in different ways. But I'm at the Crocodile's website.

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Speaker 3: I'm looking at they have a whole dress code sub page.

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Speaker 3: Like so women, no sports attire, no T shirts, no sweats,

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Speaker 3: no baseball caps, beanies, no overly revealing clothing. I like that.

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Speaker 3: They're like, we're modest men. Collar dress shirts required, no

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Speaker 3: sports attire, no T shirts, no longer shorts, sleeve shirts,

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Speaker 3: no Henley's, No shallow V necks, oh Henley style of

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Speaker 3: shallow V necks okay, no hoodies okay, shallow nice dress

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Speaker 3: sweaters Okay. I can't get away my ship that I

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Speaker 3: try and pull off with my V neck. Yeah, that

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Speaker 3: deep like where I'm flirting with exposing navel, yeah percent,

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Speaker 3: No sweats, no baggy loose clothing. No club colors. What

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Speaker 3: are club colors?

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Speaker 7: Are they to club colors like gang colors? Like red white,

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Speaker 7: I mean red, I mean red, blue?

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Speaker 3: Whatever else? No sandals, flip flops, no fans.

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Speaker 1: You can't wear red or.

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Speaker 7: Blue, or you just can't wear all red or it

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Speaker 7: depends on the red and the blue. You can usually tell.

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Speaker 3: Right right right, Yeah, if you don't have like a

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Speaker 3: flag coming out of your pocket with your cool hut on,

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Speaker 3: then maybe we have a problem. Wait, but you're saying

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Speaker 3: this isn't on some like racist ship, because it's very

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Speaker 3: much like they just want or they just want everybody

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Speaker 3: to come in, like it's like it's a nice place, like.

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Speaker 7: It's a nice place. I'm telling you that's not They're

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Speaker 7: they're totally like trust me, Hood motherfuckers show up.

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Speaker 3: Right, But there they are. But they're in their plates,

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Speaker 3: they're in.

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Speaker 7: Their player fit. Yeah, that's what I'm saying.

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Speaker 3: It's like it is.

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Speaker 7: It seems like it off top, like I get it,

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Speaker 7: but when you're reading it, but I'm telling you, it's

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Speaker 7: not that they're like no, no, no, you can be Hood

396
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Speaker 7: is fucking here and you can like be annoying and

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Speaker 7: all that.

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Speaker 2: Ship, but just be cute.

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Speaker 7: Don't be a mess on the dance floor. You can't.

400
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Speaker 7: Like they really are just like no, we're just here.

401
00:19:03,320 --> 00:19:05,520
Speaker 7: It's like family. Like it's like a family function.

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Speaker 3: I love it. Wow, interior does look like a time capsule.

403
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Speaker 7: It is, dude. It's so fun if you're ever in

404
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Speaker 7: the Central Valle and you want to go out, especially

405
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Speaker 7: on Saturday night. Friday nights are pretty empty, but Saturday

406
00:19:16,800 --> 00:19:18,480
Speaker 7: nights are always popping and they're soap and it's the

407
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Speaker 7: music is insane. Yeah, wow, music is insane.

408
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Speaker 3: Like it looks like it's like a fucking scene in

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Speaker 3: Carlito's Way.

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Speaker 7: Or yes, dude, yeah, so that's what I'm saying. When

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Speaker 7: you walk in there, you want.

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Speaker 3: To look cute right right right.

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Speaker 2: They want you to match the vibe.

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Speaker 1: It's like Carcado's Way mixed with a laser tag, like.

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Speaker 5: Yeah, it's cute.

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Speaker 7: So the music, like the other day, it was like

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Speaker 7: it went from like suave mee to like eminem something

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Speaker 7: like the music is insane. It's silly. It's just you're

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Speaker 7: there for a silly time right right now. And that's

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Speaker 7: the other thing. That's why it's like even the music

421
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Speaker 7: is like kind of corny, but like in that fun way.

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Speaker 7: Whe're like we never high school. Yeah, yeah, you know

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Speaker 7: you're at a party. You're just like, you know, you're

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Speaker 7: just gonna be kissing tonight. That's it.

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Speaker 3: Wow, shout out crocodile.

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Speaker 7: I love crocodiles. It's the funnest all right.

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Speaker 1: So finding a weird club is underrated having a like

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Speaker 1: cool yeah, Unie.

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Speaker 7: She was saying it was overrated, but it's like, now

430
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Speaker 7: a man, find the clubs that work for you. And

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Speaker 7: then the final article that I saw that the I've

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Speaker 7: only gave the first one for the other two articles.

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Speaker 7: I got to give the two on this one because

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Speaker 7: it's really funny how they go hand in hand. This

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00:20:30,600 --> 00:20:33,439
Speaker 7: guy's idea of what's overrated. The first one is a

436
00:20:33,440 --> 00:20:37,000
Speaker 7: formal education, which I agree, But then the second one

437
00:20:37,200 --> 00:20:37,920
Speaker 7: is science.

438
00:20:40,240 --> 00:20:45,840
Speaker 1: This guy's got some opinions on the go. He's done

439
00:20:45,880 --> 00:20:48,919
Speaker 1: some research, some of his own research on the vaccine.

440
00:20:49,000 --> 00:20:51,200
Speaker 1: I don't think he's a fan of Fauci.

441
00:20:50,920 --> 00:20:53,159
Speaker 7: Yeah, because it's like, oh yeah, formal education. I agree.

442
00:20:53,200 --> 00:20:56,200
Speaker 7: Not everybody should be required to fucking for any fucking

443
00:20:56,280 --> 00:20:59,920
Speaker 7: job to have a fucking aaba any of that shit.

444
00:21:00,000 --> 00:21:02,320
Speaker 7: There's plenty of jobs of don't eat that shit. And

445
00:21:02,320 --> 00:21:03,880
Speaker 7: then he said science and I was like, bro, I'm

446
00:21:03,920 --> 00:21:07,399
Speaker 7: tapping out. We are not agreeing on the same on

447
00:21:07,440 --> 00:21:08,399
Speaker 7: the same number one.

448
00:21:08,560 --> 00:21:10,920
Speaker 3: He's like, yeah, wh I got my master's degree on YouTube,

449
00:21:11,040 --> 00:21:13,320
Speaker 3: you know what I mean. That's why I can go

450
00:21:13,440 --> 00:21:15,199
Speaker 3: toe to toe with any person who went to a

451
00:21:15,240 --> 00:21:19,240
Speaker 3: brick and mortar college, like go, sure, Okay.

452
00:21:18,720 --> 00:21:22,760
Speaker 1: Actually got a Bachelor of Science from Praguer University, from

453
00:21:23,040 --> 00:21:27,359
Speaker 1: which that's not usually there especial price based it's all

454
00:21:27,359 --> 00:21:28,200
Speaker 1: faith based science.

455
00:21:28,760 --> 00:21:35,960
Speaker 7: I got mine at ragu University, all sauce.

456
00:21:35,960 --> 00:21:41,240
Speaker 3: Prego rag old world style degree.

457
00:21:41,640 --> 00:21:45,680
Speaker 1: All right, Uh, let's take a quick break and we'll

458
00:21:45,680 --> 00:21:48,200
Speaker 1: come back and we'll check in with Donald Trump. We

459
00:21:48,320 --> 00:21:49,760
Speaker 1: like to do it once a week, just make sure

460
00:21:49,760 --> 00:22:00,960
Speaker 1: he's doing all right. We'll be right back and we're back,

461
00:22:01,840 --> 00:22:07,359
Speaker 1: and uh, we won't be playing the Drake drop for this. No.

462
00:22:08,480 --> 00:22:13,520
Speaker 1: Sixty one protesters have been indicted for violating Georgia's Rico

463
00:22:13,640 --> 00:22:18,440
Speaker 1: Act for protesting the building of a massive military installation.

464
00:22:19,119 --> 00:22:19,520
Speaker 3: Yeah.

465
00:22:19,880 --> 00:22:23,719
Speaker 2: Uh huh A lot clear where the bad guys are right, Yeah, Oh,

466
00:22:23,760 --> 00:22:28,080
Speaker 2: of course the protesters. Y, of course, how dare you?

467
00:22:28,560 --> 00:22:32,000
Speaker 3: They're getting hit with charges like domestic terror for like

468
00:22:32,080 --> 00:22:35,160
Speaker 3: trying to disable like machines or like you know, they're

469
00:22:35,160 --> 00:22:37,560
Speaker 3: like they're throwing molotov cocktails and all this other stuff.

470
00:22:37,760 --> 00:22:40,840
Speaker 3: Money laundering because they were setting up bail funds. They're

471
00:22:40,840 --> 00:22:43,360
Speaker 3: trying to like they're going after these people in the

472
00:22:43,400 --> 00:22:46,399
Speaker 3: most fucked up way. The charges are being pursued by

473
00:22:46,400 --> 00:22:51,120
Speaker 3: the state's attorney general, you know, Republican Chris Carr. And yeah,

474
00:22:51,160 --> 00:22:54,600
Speaker 3: this is like a some multifaceted movement of people that

475
00:22:54,760 --> 00:22:59,040
Speaker 3: realize that building these police training facilities are just merely

476
00:22:59,080 --> 00:23:03,720
Speaker 3: a terrible escalation of the militarized like police state that

477
00:23:03,760 --> 00:23:08,040
Speaker 3: we're experiencing across the country, and you know, antithetical to

478
00:23:08,680 --> 00:23:12,080
Speaker 3: lowering instances of police brutality. When you're like here's like

479
00:23:12,119 --> 00:23:14,199
Speaker 3: an here's a whole place where you can train on

480
00:23:14,280 --> 00:23:17,160
Speaker 3: how to suppress people's you know, democratic rights and things

481
00:23:17,280 --> 00:23:18,280
Speaker 3: like that, it's.

482
00:23:18,119 --> 00:23:20,760
Speaker 1: Like the police Brutality Training Complex.

483
00:23:21,119 --> 00:23:23,199
Speaker 3: Oh yeah, because they wanted to. They want to be like,

484
00:23:23,240 --> 00:23:24,920
Speaker 3: we want them to have the feeling of what it's

485
00:23:24,960 --> 00:23:27,320
Speaker 3: like to like, you know, kettle people in city streets

486
00:23:27,400 --> 00:23:29,679
Speaker 3: or neighborhoods so they can do it more efficiently to

487
00:23:29,840 --> 00:23:33,159
Speaker 3: like round up people. And you know, the Attorney General

488
00:23:33,359 --> 00:23:37,239
Speaker 3: and governor have been just steadily screaming about how like

489
00:23:37,320 --> 00:23:39,960
Speaker 3: this this whole thing is actually the work of like

490
00:23:39,960 --> 00:23:42,960
Speaker 3: an it's like an organized criminals. This is a criminal

491
00:23:43,080 --> 00:23:47,040
Speaker 3: organization and enterprise to sort of create this rico narrative

492
00:23:47,080 --> 00:23:49,479
Speaker 3: to go after protesters. And if you want to really

493
00:23:49,560 --> 00:23:52,320
Speaker 3: understand how cynical and racist this shit is, if you

494
00:23:52,400 --> 00:23:54,720
Speaker 3: just look at the date listed on the indictments for

495
00:23:54,840 --> 00:23:57,520
Speaker 3: like they like they're putting May twenty fifth, twenty twenty

496
00:23:57,560 --> 00:23:59,160
Speaker 3: as sort of like the beginning of like this shit

497
00:23:59,240 --> 00:24:03,080
Speaker 3: going down, which is the day George Floyd was murdered. Okay, wow,

498
00:24:03,119 --> 00:24:05,919
Speaker 3: So they want to conflate this event with all of

499
00:24:05,960 --> 00:24:09,040
Speaker 3: the scary BLM protests to say, like, you see what's

500
00:24:09,080 --> 00:24:11,879
Speaker 3: going on, folks, it's just this like large movement to

501
00:24:12,040 --> 00:24:14,840
Speaker 3: so discord and chaos when all we're trying to do

502
00:24:15,240 --> 00:24:17,959
Speaker 3: is make people safer. One of the days in Atlanta,

503
00:24:18,000 --> 00:24:20,720
Speaker 3: Sherry Boston said that her office would withdraw withdraw from

504
00:24:20,720 --> 00:24:24,320
Speaker 3: criminal cases involving the cop involving Cop City. But it's

505
00:24:24,440 --> 00:24:26,320
Speaker 3: this is some scary shit. I mean, like, these are

506
00:24:26,320 --> 00:24:29,240
Speaker 3: people exercising their First Amendment rights and the state in

507
00:24:29,359 --> 00:24:31,480
Speaker 3: City of Atlanta have just made the whole this like

508
00:24:31,560 --> 00:24:35,280
Speaker 3: into a campaign of like democratic suppression. You know, Like

509
00:24:35,320 --> 00:24:38,680
Speaker 3: there's the officials they blocked a referendum on Cop City.

510
00:24:38,680 --> 00:24:41,720
Speaker 3: They ignored all the pleas from the public, all the

511
00:24:41,720 --> 00:24:44,440
Speaker 3: public comment like we do not want this, or other

512
00:24:44,440 --> 00:24:46,480
Speaker 3: people in like Dacab County who are like this is

513
00:24:46,560 --> 00:24:48,719
Speaker 3: near where I live, this is I do not want this.

514
00:24:48,800 --> 00:24:51,359
Speaker 3: I do not want to see the forest raised so

515
00:24:51,400 --> 00:24:55,760
Speaker 3: you can create this fucked up training facility. Then there

516
00:24:55,760 --> 00:24:58,600
Speaker 3: were people who were like like local election board members

517
00:24:58,640 --> 00:25:03,199
Speaker 3: were removed for opposing Copcity, and now we're charging protesters

518
00:25:03,240 --> 00:25:05,720
Speaker 3: with domestic terrorism under the Rico Act.

519
00:25:05,960 --> 00:25:08,600
Speaker 2: Yeah. Also, I was gonna say that you should have

520
00:25:08,720 --> 00:25:12,160
Speaker 2: so much shame that you're using the fucking Rico Act,

521
00:25:12,440 --> 00:25:14,720
Speaker 2: which was used to bring down Copone.

522
00:25:15,440 --> 00:25:17,479
Speaker 1: Yeah, right on these people.

523
00:25:17,880 --> 00:25:22,040
Speaker 2: Yeah, like just the fact, like how do you even

524
00:25:22,080 --> 00:25:25,679
Speaker 2: put that in your mind together as even remotely in

525
00:25:25,720 --> 00:25:30,280
Speaker 2: the same camp. Well, it's just so fucking yeah. I

526
00:25:30,320 --> 00:25:34,720
Speaker 2: mean I always am shook and like speechless because like

527
00:25:35,520 --> 00:25:37,760
Speaker 2: I expect people at some point to have shame, and

528
00:25:37,760 --> 00:25:39,680
Speaker 2: then I'm like, no, but they don't like what am

529
00:25:39,680 --> 00:25:43,920
Speaker 2: I talking about. They're heartless and yeah, driven completely by

530
00:25:45,040 --> 00:25:47,560
Speaker 2: money and power, So why am I so shocked? But

531
00:25:47,720 --> 00:25:49,359
Speaker 2: it's like every fucking time, you know.

532
00:25:49,600 --> 00:25:52,439
Speaker 3: And to try and again scare people from wanting to

533
00:25:52,520 --> 00:25:56,119
Speaker 3: put checks and balances, you know, on our system, especially

534
00:25:56,160 --> 00:25:58,439
Speaker 3: as it relates to law enforcement. It's like, oh, you

535
00:25:58,480 --> 00:26:01,359
Speaker 3: want to protest this, watch to go scorched Earth on

536
00:26:01,440 --> 00:26:04,720
Speaker 3: your ass. Meanwhile, we're like, yeah, these people who like

537
00:26:04,840 --> 00:26:07,200
Speaker 3: storm the you know, like we have like people capital

538
00:26:07,200 --> 00:26:08,960
Speaker 3: protesters where you see judge and you're like, well, you know,

539
00:26:09,200 --> 00:26:10,840
Speaker 3: I kind of want to go softer? Am I sentencing

540
00:26:10,880 --> 00:26:14,720
Speaker 3: here or there? Where you have a very focused AG's

541
00:26:14,760 --> 00:26:17,040
Speaker 3: office in Georgia being like, yeah, you know what, let's go,

542
00:26:17,240 --> 00:26:19,640
Speaker 3: let's go reco on them and try and make an

543
00:26:19,640 --> 00:26:20,760
Speaker 3: example of these people.

544
00:26:21,080 --> 00:26:24,479
Speaker 2: Also, sorry, I was just gonna say I was legally

545
00:26:24,560 --> 00:26:30,840
Speaker 2: arrested for protesting in college. Yeah, illegally arrested for protesting

546
00:26:30,880 --> 00:26:34,720
Speaker 2: in college. And I was part of a class action

547
00:26:34,920 --> 00:26:39,880
Speaker 2: lawsuit against the Metropolitan Police Department in DC and we won,

548
00:26:40,440 --> 00:26:45,560
Speaker 2: and like it was one of the most kind of

549
00:26:45,880 --> 00:26:49,159
Speaker 2: fucked up in traumatic things being detained the way I was.

550
00:26:49,560 --> 00:26:52,040
Speaker 2: I also wasn't a citizen yet, I was just a

551
00:26:52,160 --> 00:26:55,000
Speaker 2: resident alien, and like they you know, took all of

552
00:26:55,040 --> 00:26:58,119
Speaker 2: my paperwork, my resident alien card, all my shit, like

553
00:26:58,680 --> 00:27:00,640
Speaker 2: when the cops twined it off of I just never

554
00:27:00,640 --> 00:27:05,439
Speaker 2: got it back. But the amount of time and like

555
00:27:06,160 --> 00:27:10,959
Speaker 2: effort and everything it takes to even go through a

556
00:27:11,000 --> 00:27:16,399
Speaker 2: thing where you would then sue, like we ended up

557
00:27:16,480 --> 00:27:19,159
Speaker 2: changing the law, but the number of years that it takes,

558
00:27:19,880 --> 00:27:23,600
Speaker 2: like and the way that they treated us. You know,

559
00:27:23,920 --> 00:27:26,880
Speaker 2: I was zip tied right hand to left foot for

560
00:27:26,960 --> 00:27:30,359
Speaker 2: like over twelve hours, you know, the way they fucking

561
00:27:30,920 --> 00:27:34,320
Speaker 2: like treated us in jail whatever, it just it was

562
00:27:34,359 --> 00:27:41,600
Speaker 2: super fucked up. But the fact that they did that

563
00:27:41,840 --> 00:27:47,040
Speaker 2: Friday morning, really early before an entire weekend of protests,

564
00:27:47,240 --> 00:27:50,760
Speaker 2: that's pretty much the same tactic here. It's like they

565
00:27:50,800 --> 00:27:54,359
Speaker 2: try to go hard early to discourage protesting, you know

566
00:27:54,440 --> 00:27:57,560
Speaker 2: what I'm saying, Like in the future, and it's the

567
00:27:57,600 --> 00:28:03,320
Speaker 2: same tactics that Bush used. Because it was they were

568
00:28:03,560 --> 00:28:08,320
Speaker 2: training in riot gear cops four months before this, Like

569
00:28:08,520 --> 00:28:11,000
Speaker 2: it was all they had buses numbered ready to go

570
00:28:11,040 --> 00:28:13,040
Speaker 2: because they were like, we're taking hundreds of people off

571
00:28:13,080 --> 00:28:15,119
Speaker 2: the street. So then for the rest of the weekend

572
00:28:15,160 --> 00:28:16,199
Speaker 2: there's no protests.

573
00:28:16,400 --> 00:28:16,600
Speaker 3: Yeah.

574
00:28:16,680 --> 00:28:20,159
Speaker 2: So it's like it just like it makes me so

575
00:28:20,280 --> 00:28:24,080
Speaker 2: fucking pissed because these people are gonna get fucked on

576
00:28:24,119 --> 00:28:26,960
Speaker 2: a much much larger scale. What I'm talking about is

577
00:28:27,080 --> 00:28:30,560
Speaker 2: child's play. And it's still was hard to get any

578
00:28:30,600 --> 00:28:35,080
Speaker 2: sort of justice or change the law or have anything

579
00:28:35,119 --> 00:28:38,240
Speaker 2: be different. And I feel like the number one thing

580
00:28:38,280 --> 00:28:41,160
Speaker 2: they tell you when you protest, right, they're like, hey,

581
00:28:41,240 --> 00:28:43,640
Speaker 2: you know, you guys are thugs. You don't use the

582
00:28:43,720 --> 00:28:47,160
Speaker 2: system correctly, Like why don't you use the lawful system?

583
00:28:47,400 --> 00:28:49,280
Speaker 3: And that is what I did in this instance too.

584
00:28:49,880 --> 00:28:52,040
Speaker 2: Yeah, and it's like, okay, well I'll tell you I

585
00:28:52,120 --> 00:28:55,720
Speaker 2: did the actual lawsuit and the lawful thing, and it

586
00:28:55,800 --> 00:29:00,280
Speaker 2: is that is not you think that that's justice, that

587
00:29:00,280 --> 00:29:03,320
Speaker 2: that's really what people should be doing, or that that

588
00:29:03,440 --> 00:29:07,320
Speaker 2: fixes anything. Like obviously, if you are thinking that there's

589
00:29:07,320 --> 00:29:09,520
Speaker 2: the right and wrong way to protest, you also are

590
00:29:09,560 --> 00:29:11,680
Speaker 2: going to think that there's never the right way.

591
00:29:11,880 --> 00:29:16,200
Speaker 3: Yeah, people went to those city council meetings, they gathered signatures,

592
00:29:16,240 --> 00:29:19,400
Speaker 3: they did every they tried it every single way. But again,

593
00:29:19,440 --> 00:29:23,360
Speaker 3: when you have municipality and this bureaucracy, that's just intent,

594
00:29:23,480 --> 00:29:26,640
Speaker 3: like just so intent on making this installation happen, no

595
00:29:26,720 --> 00:29:29,800
Speaker 3: matter what you get these kinds of fucked up measures.

596
00:29:29,920 --> 00:29:32,800
Speaker 3: And yeah, I'd hate to bring up private equity.

597
00:29:33,200 --> 00:29:35,360
Speaker 1: No, don't do it, Miles, but it can't have.

598
00:29:35,520 --> 00:29:39,520
Speaker 3: Two of the biggest corporate backers of cop City are

599
00:29:39,680 --> 00:29:42,400
Speaker 3: Rourke Capital, which is a private equity firm that owns

600
00:29:42,480 --> 00:29:46,880
Speaker 3: inspire brands, you know, the Duncan, RBS, Baskin, Robbins, Buffalo

601
00:29:46,880 --> 00:29:49,960
Speaker 3: Wild Wings, et cetera. Their CEO sits on the board

602
00:29:50,000 --> 00:29:53,080
Speaker 3: of trustees for the Atlanta Police Foundation, and they're raising

603
00:29:53,200 --> 00:29:56,160
Speaker 3: sixty million dollars from corporate donors to build this place.

604
00:29:56,440 --> 00:29:59,239
Speaker 3: Like so there's one part of it. The other is

605
00:29:59,440 --> 00:30:02,520
Speaker 3: Silver Lake Management, which sounds like a cool maybe talent

606
00:30:02,560 --> 00:30:05,120
Speaker 3: agency that represents bands from the East side of the LA.

607
00:30:05,360 --> 00:30:06,920
Speaker 3: But no, no, no, it.

608
00:30:06,920 --> 00:30:11,800
Speaker 2: Sounds like a like a like a land lording agency, right,

609
00:30:11,880 --> 00:30:14,120
Speaker 2: like you rent your apartment from.

610
00:30:13,960 --> 00:30:17,360
Speaker 3: In Silver Lake, right exactly. Silver Lake Management, they actually

611
00:30:17,400 --> 00:30:20,000
Speaker 3: are tech focused private equity firm and they have a

612
00:30:20,080 --> 00:30:24,960
Speaker 3: huge steak in Motorola Solutions aka the company that designed

613
00:30:25,000 --> 00:30:29,800
Speaker 3: the surveillance system to make Atlanta the most surveiled city

614
00:30:29,840 --> 00:30:33,480
Speaker 3: in the United States, and they also develop really cool

615
00:30:33,520 --> 00:30:38,000
Speaker 3: tools for use in prisons the US Mexico border, and surprise, surprise,

616
00:30:38,160 --> 00:30:40,840
Speaker 3: the West Bank because we talk about there's this conversation

617
00:30:40,960 --> 00:30:44,240
Speaker 3: of using these sort of like crowd control technologies. They

618
00:30:44,280 --> 00:30:46,520
Speaker 3: start off they can they use them like abroad, and

619
00:30:46,880 --> 00:30:49,160
Speaker 3: the West Bank fine tune them, and then we end

620
00:30:49,240 --> 00:30:52,440
Speaker 3: up seeing them boomerang onto our own shores, used against

621
00:30:52,480 --> 00:30:56,040
Speaker 3: our people who are exercising their First Amendment rights. So yeah,

622
00:30:56,040 --> 00:30:58,600
Speaker 3: it's wild to think that the ratio of cameras to

623
00:30:58,600 --> 00:31:01,280
Speaker 3: people in Atlanta, it's forty almost forty nine cameras per

624
00:31:01,320 --> 00:31:04,400
Speaker 3: thousand people in Atlanta. That's the highest. It's more than DC,

625
00:31:04,880 --> 00:31:07,440
Speaker 3: it's more in New York City. And you're like, huh huh.

626
00:31:07,920 --> 00:31:10,480
Speaker 1: It also feels like we're seeing like a FUCOS boomerang

627
00:31:10,560 --> 00:31:14,680
Speaker 1: on like the legal president of Like, okay, we cheered

628
00:31:14,720 --> 00:31:18,240
Speaker 1: when they used this against Trump, and then they're like, okay,

629
00:31:18,320 --> 00:31:20,480
Speaker 1: so you're good, but watch this then and then watch this.

630
00:31:20,560 --> 00:31:23,680
Speaker 1: We're going to use it against your ability to protest

631
00:31:23,760 --> 00:31:26,760
Speaker 1: against a fucking military installation.

632
00:31:27,280 --> 00:31:29,200
Speaker 2: It's just amazing. These are the people that are like,

633
00:31:29,400 --> 00:31:34,000
Speaker 2: I'm sorry, the Second Amendment is everything I'm like, okay, well,

634
00:31:34,000 --> 00:31:37,760
Speaker 2: what about that other amendment. Yeah, you know, no one

635
00:31:37,800 --> 00:31:41,920
Speaker 2: that protects the right to protest, which you should be

636
00:31:42,120 --> 00:31:45,560
Speaker 2: into because you're so into the law of the land

637
00:31:46,320 --> 00:31:49,760
Speaker 2: right now. No, that amendment, I guess is bullshit. The

638
00:31:49,800 --> 00:31:51,760
Speaker 2: first amendment. We just don't look at that one. That

639
00:31:51,840 --> 00:31:52,959
Speaker 2: one's just like what epps.

640
00:31:53,440 --> 00:31:55,400
Speaker 3: Yeah, And I mean then you look at like even

641
00:31:55,480 --> 00:31:58,120
Speaker 3: protesters that were killed by the police over the court

642
00:31:58,200 --> 00:32:01,840
Speaker 3: like it's this is it's it's it's mind blowing. And yeah.

643
00:32:01,960 --> 00:32:05,720
Speaker 3: Now again it's like the Republican Attorney General is like, yeah,

644
00:32:05,760 --> 00:32:07,960
Speaker 3: watch this, I'll use the same grain jury that got

645
00:32:08,000 --> 00:32:11,240
Speaker 3: those charges for Trump and we'll use it for this now. Yeah.

646
00:32:11,320 --> 00:32:14,160
Speaker 1: So, and I think there's a really valid point, Sophia

647
00:32:14,240 --> 00:32:17,760
Speaker 1: that like they're you know, as we see more fear

648
00:32:17,840 --> 00:32:22,760
Speaker 1: from the wealthy, as we see the billionaire owner of

649
00:32:22,840 --> 00:32:27,800
Speaker 1: Cardier lose more sleep over the idea that like eventually

650
00:32:27,840 --> 00:32:31,920
Speaker 1: the people are going to be pissed that we're billionaires, right, Like, yeah,

651
00:32:32,080 --> 00:32:35,200
Speaker 1: the more we see that, the more we're going to

652
00:32:35,240 --> 00:32:37,600
Speaker 1: see things like this where they're trying to make an

653
00:32:37,640 --> 00:32:42,600
Speaker 1: example of people protesting. Yeah, I think it's imperative that

654
00:32:42,640 --> 00:32:47,240
Speaker 1: we keep attention on these people and like, you know,

655
00:32:47,400 --> 00:32:51,240
Speaker 1: understand that these are people who are working on our behalf,

656
00:32:51,560 --> 00:32:54,080
Speaker 1: even though I think the mainstream media narrative is not

657
00:32:54,160 --> 00:32:56,440
Speaker 1: always going to be very favorable to the to the

658
00:32:56,480 --> 00:32:57,680
Speaker 1: protesters right.

659
00:32:57,640 --> 00:33:00,960
Speaker 3: Now, and hardly would you hear it where it's like wow,

660
00:33:01,800 --> 00:33:05,320
Speaker 3: they're really I mean again, everything is always tinged with

661
00:33:05,400 --> 00:33:08,560
Speaker 3: slightly pro cop bias, So they just want to make

662
00:33:08,600 --> 00:33:10,600
Speaker 3: it look like it's a bunch of like hippies who

663
00:33:10,600 --> 00:33:13,000
Speaker 3: want to save the trees in the forest, when a

664
00:33:13,000 --> 00:33:15,480
Speaker 3: lot of people like this is again, we're ramping up

665
00:33:15,800 --> 00:33:20,120
Speaker 3: our militarized police state in a time when all they've proven,

666
00:33:20,360 --> 00:33:23,360
Speaker 3: all we've seen from our law enforcement system is that

667
00:33:23,680 --> 00:33:26,360
Speaker 3: it doesn't work. Doesn't work, it doesn't prevent crime. All

668
00:33:26,400 --> 00:33:30,000
Speaker 3: it does is pile up more victims of police brutality.

669
00:33:30,400 --> 00:33:32,800
Speaker 3: But yeah, these are the stakes right now.

670
00:33:33,040 --> 00:33:33,240
Speaker 2: Yeah.

671
00:33:33,280 --> 00:33:33,360
Speaker 7: No.

672
00:33:33,440 --> 00:33:37,360
Speaker 2: I think also these strategies, you know, always repeat. It's

673
00:33:37,440 --> 00:33:43,200
Speaker 2: like every single time protesting happens, the way that they

674
00:33:43,240 --> 00:33:46,640
Speaker 2: try to quell it is always tactics that they've used before.

675
00:33:47,320 --> 00:33:50,760
Speaker 2: And I think one of those things is like that's

676
00:33:50,800 --> 00:33:53,320
Speaker 2: great about the internet is if you go and protest,

677
00:33:53,360 --> 00:33:55,240
Speaker 2: I just want to make that clear to everybody that like,

678
00:33:55,320 --> 00:33:58,880
Speaker 2: you absolutely should if you can, but you should absolutely

679
00:33:59,280 --> 00:34:03,280
Speaker 2: know going out what you should do and not do.

680
00:34:03,520 --> 00:34:06,440
Speaker 2: Have the you know, National Lawyer's Guild number on you,

681
00:34:06,520 --> 00:34:09,640
Speaker 2: like all of the stuff that you absolutely need to

682
00:34:09,719 --> 00:34:12,879
Speaker 2: know you can look up. And it's just I think,

683
00:34:13,000 --> 00:34:16,680
Speaker 2: really really important because like a privileged fucking white woman,

684
00:34:16,880 --> 00:34:21,000
Speaker 2: I was still like an immigrant, which again scared me

685
00:34:21,080 --> 00:34:23,320
Speaker 2: because you know, they charged me, they try to charge

686
00:34:23,320 --> 00:34:26,880
Speaker 2: me with rioting because we asked for food and writing

687
00:34:26,960 --> 00:34:28,640
Speaker 2: is a felony and if that happened, I would have

688
00:34:28,680 --> 00:34:34,160
Speaker 2: been super fucked And like again privileged white woman, still

689
00:34:34,680 --> 00:34:38,480
Speaker 2: was really fucked up experience. And you just need to

690
00:34:38,560 --> 00:34:40,799
Speaker 2: know what you're going in and you need to have

691
00:34:40,840 --> 00:34:44,160
Speaker 2: friends on the outside when you're protesting so that you

692
00:34:44,200 --> 00:34:47,800
Speaker 2: know they know what the deal is. You have a plan,

693
00:34:48,520 --> 00:34:51,680
Speaker 2: just like be careful when you do it. That's all.

694
00:34:52,160 --> 00:34:54,520
Speaker 3: Yeah, yeah, because they ain't playing fair out of here.

695
00:34:54,520 --> 00:34:56,879
Speaker 1: No, no, no, they're not all right. If you guys

696
00:34:56,880 --> 00:34:59,800
Speaker 1: heard the game six Degrees with Kevin Beagan, sink pivot,

697
00:35:00,680 --> 00:35:01,719
Speaker 1: sick pivot.

698
00:35:02,560 --> 00:35:05,280
Speaker 3: Oh yeah, pivot.

699
00:35:05,400 --> 00:35:06,000
Speaker 5: Have you seen this?

700
00:35:06,440 --> 00:35:07,200
Speaker 3: You guys heard about this?

701
00:35:07,200 --> 00:35:10,560
Speaker 1: You see this? Oh yeah, wait I got our guest

702
00:35:10,640 --> 00:35:13,399
Speaker 1: last last time, when Sophia was almost like the thing

703
00:35:13,800 --> 00:35:17,160
Speaker 1: the thing that is underrated about your podcast is the

704
00:35:17,280 --> 00:35:19,040
Speaker 1: hurdling changes of pace.

705
00:35:19,960 --> 00:35:24,160
Speaker 3: Oh yeah, we got to hit them all the guys

706
00:35:24,160 --> 00:35:25,160
Speaker 3: comes at you quick.

707
00:35:26,640 --> 00:35:31,800
Speaker 1: It does you know? Does your news feed stop to

708
00:35:31,800 --> 00:35:34,760
Speaker 1: coddle you and think about your feelings?

709
00:35:35,200 --> 00:35:37,440
Speaker 3: Don't you get a mixture of Apple alerts that are

710
00:35:37,440 --> 00:35:40,360
Speaker 3: like bummer news? And then also it's like highly genderin

711
00:35:40,520 --> 00:35:42,040
Speaker 3: Timothy Shallow.

712
00:35:43,160 --> 00:35:47,720
Speaker 1: More Timothy Shallow relationship updates than I am.

713
00:35:48,040 --> 00:35:49,680
Speaker 2: I mean I just go on the internet. I'm like,

714
00:35:49,719 --> 00:35:54,359
Speaker 2: wowious joke about bussy and then underneath that, like we

715
00:35:54,680 --> 00:36:00,080
Speaker 2: have created another monster voltron of cops. I'm like that

716
00:36:00,080 --> 00:36:01,120
Speaker 2: that's live and.

717
00:36:01,080 --> 00:36:04,120
Speaker 7: Then is it good for your city?

718
00:36:04,400 --> 00:36:11,520
Speaker 1: Yeah? Okay, cool, thank you?

719
00:36:11,600 --> 00:36:13,680
Speaker 2: Oh yeah, your sexy dark voice is gone.

720
00:36:13,880 --> 00:36:16,720
Speaker 1: I know my sexy voice smiles. I had the deepest

721
00:36:16,800 --> 00:36:18,760
Speaker 1: voice that I've ever had when You're gone.

722
00:36:19,000 --> 00:36:19,680
Speaker 3: When you were sick.

723
00:36:20,000 --> 00:36:23,800
Speaker 1: Yeah, gave me like crazy deep voice.

724
00:36:25,680 --> 00:36:27,760
Speaker 2: Yes, I mean not that cool.

725
00:36:27,880 --> 00:36:32,719
Speaker 3: It was still but people or like what's that what's

726
00:36:32,760 --> 00:36:35,360
Speaker 3: the opposite of helium? That that gas? Or like you

727
00:36:35,400 --> 00:36:38,800
Speaker 3: can like yeah before like super loose, Yeah.

728
00:36:38,840 --> 00:36:39,799
Speaker 1: How I felt.

729
00:36:42,040 --> 00:36:45,839
Speaker 2: Loved it especially, but everybody loved it. People were customerized.

730
00:36:45,960 --> 00:36:49,480
Speaker 2: You could tell a sa that was we're falling for

731
00:36:49,600 --> 00:36:51,440
Speaker 2: him the fluoride.

732
00:36:51,520 --> 00:36:52,200
Speaker 3: That's what it is.

733
00:36:52,239 --> 00:37:00,200
Speaker 2: They victor like justin everybody, everybody falling up over it.

734
00:37:01,960 --> 00:37:06,279
Speaker 1: All right, So there's a new study from six different nations.

735
00:37:06,360 --> 00:37:08,640
Speaker 1: This is just this is like one of those studies

736
00:37:08,680 --> 00:37:11,400
Speaker 1: where it's like, wow, you did everything so well to

737
00:37:11,520 --> 00:37:15,160
Speaker 1: like just put this into a press release, and I'm

738
00:37:15,160 --> 00:37:18,240
Speaker 1: not mad at it. You did a good job. Fine,

739
00:37:18,719 --> 00:37:23,319
Speaker 1: you've gotten my attention. But basically the whole thing, they're like,

740
00:37:23,400 --> 00:37:26,560
Speaker 1: the thing about six degrees of come bacon also happens

741
00:37:26,600 --> 00:37:29,960
Speaker 1: in real life where there's like six degrees of separation,

742
00:37:30,719 --> 00:37:36,040
Speaker 1: and they kind of looked at the math of how

743
00:37:36,360 --> 00:37:43,000
Speaker 1: humans form our friend groups and basically we are constantly evaluating.

744
00:37:43,080 --> 00:37:48,239
Speaker 1: It's very very much sounds like, you know, a scientist

745
00:37:48,719 --> 00:37:53,080
Speaker 1: who has not spent a lot of time around other humans,

746
00:37:53,200 --> 00:37:57,439
Speaker 1: like observing humans because they're like human is constantly evaluating

747
00:37:57,960 --> 00:38:01,800
Speaker 1: the cost benefit of keeping up old relationship alive or

748
00:38:01,920 --> 00:38:02,840
Speaker 1: making a new friend.

749
00:38:03,560 --> 00:38:07,480
Speaker 2: And he did the study because he wanted a friend.

750
00:38:07,800 --> 00:38:10,840
Speaker 1: Totally, why do we do anything right? And I probably

751
00:38:10,920 --> 00:38:13,680
Speaker 1: read it because of that. But the study like spends

752
00:38:13,719 --> 00:38:16,880
Speaker 1: a lot of time basically explaining why people have friends,

753
00:38:17,480 --> 00:38:20,520
Speaker 1: like they're just very confused about that.

754
00:38:20,840 --> 00:38:24,120
Speaker 2: I think that's pretty sweet of that article, I know,

755
00:38:24,239 --> 00:38:25,520
Speaker 2: isn't it.

756
00:38:25,600 --> 00:38:28,600
Speaker 1: I kind of love it. But the interesting details the

757
00:38:28,719 --> 00:38:31,360
Speaker 1: Nash equilibrium, like the point at which people have no

758
00:38:31,480 --> 00:38:35,000
Speaker 1: further incentive to go incentive to go outward with their

759
00:38:35,040 --> 00:38:40,040
Speaker 1: friend making or inward with their friend pruning usually lands

760
00:38:40,080 --> 00:38:43,080
Speaker 1: at a place that averages out to six degrees of

761
00:38:43,120 --> 00:38:49,000
Speaker 1: separation from like everyone else on the planet, which is wild,

762
00:38:49,080 --> 00:38:51,200
Speaker 1: but that that's the I mean, it makes sense. Like

763
00:38:51,520 --> 00:38:53,279
Speaker 1: I assumed it was going to be something about like

764
00:38:53,360 --> 00:38:57,160
Speaker 1: network dynamics and like how you know, over over time,

765
00:38:57,200 --> 00:39:00,239
Speaker 1: you're like sort of compounding the number of like just

766
00:39:00,360 --> 00:39:03,520
Speaker 1: you know, three degrees of separation away. You've like compounded

767
00:39:03,920 --> 00:39:08,000
Speaker 1: the number of people that everyone knows. But it's also

768
00:39:08,280 --> 00:39:12,560
Speaker 1: about how like the sizes of those groups that each

769
00:39:12,640 --> 00:39:17,360
Speaker 1: person is connected to well different, you know, workout to

770
00:39:17,440 --> 00:39:22,120
Speaker 1: an average of about an average of about six huh.

771
00:39:22,760 --> 00:39:30,120
Speaker 2: How so, but that wouldn't have been true pre Internet.

772
00:39:30,719 --> 00:39:32,120
Speaker 1: I think it has been true.

773
00:39:32,200 --> 00:39:35,399
Speaker 3: That's the thing, Like, I think it's pre Internet, right,

774
00:39:35,480 --> 00:39:36,400
Speaker 3: that yeah, yeah existed.

775
00:39:36,680 --> 00:39:39,920
Speaker 2: So like no, no, no, I just mean, oh, I

776
00:39:39,960 --> 00:39:42,120
Speaker 2: just mean, do you really? I guess I was thinking,

777
00:39:42,160 --> 00:39:44,600
Speaker 2: like it's easy for me to think of being six

778
00:39:44,680 --> 00:39:47,239
Speaker 2: degrees away from anyone on the planet, like with the

779
00:39:47,280 --> 00:39:49,440
Speaker 2: Internet and like also just like oh, you have a

780
00:39:49,440 --> 00:39:51,120
Speaker 2: friend that lives in this country and blah blah blah

781
00:39:51,120 --> 00:39:52,960
Speaker 2: blah blah. Right, but I'm thinking.

782
00:39:53,080 --> 00:39:56,120
Speaker 1: Track yeah, yeah, right, right, right. So I didn't know

783
00:39:56,200 --> 00:40:00,480
Speaker 1: the origin of the experiment or of the the idea

784
00:40:00,520 --> 00:40:03,600
Speaker 1: of six degrees. It's actually Milgram, you know, the guy

785
00:40:03,600 --> 00:40:07,160
Speaker 1: who like gives the experiment. Yeah, it's the famous shock

786
00:40:07,239 --> 00:40:12,080
Speaker 1: experiment where people come into a lab and it was

787
00:40:12,160 --> 00:40:18,280
Speaker 1: based on like the trials of Nazi prison camp guards

788
00:40:18,760 --> 00:40:23,919
Speaker 1: at the Hug and how they were like, we were

789
00:40:23,960 --> 00:40:26,719
Speaker 1: just following orders, and so he did this experiment show

790
00:40:26,760 --> 00:40:31,719
Speaker 1: that people will continuously shock people whether or not. So

791
00:40:32,080 --> 00:40:34,719
Speaker 1: basically the people weren't actually being shocked. Put a person

792
00:40:34,760 --> 00:40:37,960
Speaker 1: a white lab coat, is like, keep keep administrating.

793
00:40:38,040 --> 00:40:40,680
Speaker 2: Basically he wouldn't see the person. The person who was

794
00:40:40,719 --> 00:40:46,480
Speaker 2: administering the shocks quote unquote, would hear someone's sounds of pain, yeah,

795
00:40:46,480 --> 00:40:48,719
Speaker 2: but that person was acting. But the person who was

796
00:40:49,120 --> 00:40:52,040
Speaker 2: shocking them didn't know they were acting, right, so they

797
00:40:52,160 --> 00:40:55,320
Speaker 2: can what later churned out in addition to the result

798
00:40:55,360 --> 00:40:57,800
Speaker 2: of like, oh yeah, people will straight up just follow

799
00:40:57,880 --> 00:41:00,440
Speaker 2: orders because a guy I know, lab coat was like shocking.

800
00:41:01,040 --> 00:41:02,799
Speaker 2: But the other thing that came out of it is

801
00:41:02,840 --> 00:41:05,280
Speaker 2: a lot of ethics stuff for how you run studies,

802
00:41:05,640 --> 00:41:09,640
Speaker 2: because the people that were fake shocking, once they found

803
00:41:09,640 --> 00:41:13,320
Speaker 2: out it was fake, they were like super fucking traumatized. Yeah,

804
00:41:13,480 --> 00:41:17,759
Speaker 2: I'm not really great my life knowing that essentially you

805
00:41:17,880 --> 00:41:20,240
Speaker 2: used me to prove that I could be a Nazi.

806
00:41:20,360 --> 00:41:22,040
Speaker 1: A Nazi, go.

807
00:41:22,120 --> 00:41:23,239
Speaker 2: Lay down, you know what.

808
00:41:23,239 --> 00:41:26,359
Speaker 3: I just fallen orders, man, you just fallen orders.

809
00:41:26,320 --> 00:41:26,520
Speaker 2: You know.

810
00:41:26,600 --> 00:41:27,000
Speaker 3: Yeah.

811
00:41:27,040 --> 00:41:29,000
Speaker 1: And there are other things about the design of that

812
00:41:29,080 --> 00:41:32,239
Speaker 1: experiment and like how so like some people might have

813
00:41:32,640 --> 00:41:36,440
Speaker 1: really known that they were acting and who knows. But

814
00:41:37,040 --> 00:41:39,520
Speaker 1: the other big experiment he did that I was not

815
00:41:39,719 --> 00:41:43,719
Speaker 1: as familiar with was they basically tried to connect two

816
00:41:43,840 --> 00:41:46,440
Speaker 1: people in as few steps as possible, just by like

817
00:41:46,480 --> 00:41:51,120
Speaker 1: sending out this brown paper package and being like, hey,

818
00:41:51,320 --> 00:41:55,600
Speaker 1: we're trying to get this to a Divinity student in Boston.

819
00:41:56,200 --> 00:42:00,400
Speaker 1: You are a farmer in Iowa that we've ran dumbly

820
00:42:00,400 --> 00:42:04,279
Speaker 1: selected from the entire population of the US, like go

821
00:42:05,040 --> 00:42:08,000
Speaker 1: and what they found they were like, oh, well, I

822
00:42:08,040 --> 00:42:12,080
Speaker 1: know this episcopalian like in my town. The episcopalian was like,

823
00:42:12,120 --> 00:42:14,920
Speaker 1: I actually know somebody who I like met at an

824
00:42:14,920 --> 00:42:19,600
Speaker 1: Episcopalian conference who's from Boston. And they got this package

825
00:42:19,640 --> 00:42:23,240
Speaker 1: to this randomly selected divinity student and like a matter

826
00:42:23,320 --> 00:42:27,160
Speaker 1: of six degrees and they they found that to be

827
00:42:27,760 --> 00:42:31,560
Speaker 1: kind of consistently the case when they ran this experiment.

828
00:42:32,080 --> 00:42:35,080
Speaker 1: And the thing that I hadn't fully appreciated is like

829
00:42:35,120 --> 00:42:39,920
Speaker 1: they also asked people before this experiment, like what would

830
00:42:39,960 --> 00:42:43,080
Speaker 1: you think the results would be, and like that.

831
00:42:43,080 --> 00:42:44,399
Speaker 3: How many steps would take?

832
00:42:44,560 --> 00:42:47,719
Speaker 1: Yeah? How many steps? And that that is like you know,

833
00:42:48,120 --> 00:42:51,920
Speaker 1: I've known the six degrees of separation. I've known that phrase.

834
00:42:52,800 --> 00:42:55,040
Speaker 1: I've known that that that is a Will Smith movie

835
00:42:55,320 --> 00:42:59,359
Speaker 1: since I was, you know, properly storing memories. So I

836
00:42:59,400 --> 00:43:02,279
Speaker 1: don't know what my guess would be, but the guess

837
00:43:02,280 --> 00:43:04,839
Speaker 1: has ranged from like one hundred to one thousand, two

838
00:43:04,880 --> 00:43:07,640
Speaker 1: people being like you'll never connect them, like it'll just

839
00:43:08,120 --> 00:43:09,839
Speaker 1: like why would you ever be able to connect two

840
00:43:09,960 --> 00:43:12,720
Speaker 1: random people? Like the world is so big and so massive.

841
00:43:12,800 --> 00:43:15,640
Speaker 2: I would have guessed twelve for some reason really like

842
00:43:15,719 --> 00:43:17,960
Speaker 2: ten or twelve. I think, what would you have guessed?

843
00:43:18,120 --> 00:43:20,400
Speaker 1: I think I would have guessed a word one hundred.

844
00:43:20,960 --> 00:43:23,160
Speaker 2: Yeah, if no one had said anything about six degrees

845
00:43:23,160 --> 00:43:23,600
Speaker 2: of whatever.

846
00:43:23,640 --> 00:43:27,759
Speaker 3: Ever, yeah, I would probably think one hundred. Feels like

847
00:43:27,880 --> 00:43:30,600
Speaker 3: I could do it within one hundred. Yeah, yeah, yeah,

848
00:43:30,640 --> 00:43:32,880
Speaker 3: it feels like a safe that it is. It is

849
00:43:32,880 --> 00:43:35,040
Speaker 3: a little mind blowing. You're like, would probably take less

850
00:43:35,080 --> 00:43:38,480
Speaker 3: than ten. You're like, really, yeah, it seems Yeah.

851
00:43:38,480 --> 00:43:41,160
Speaker 2: The fact that it's single digits, I think, like totally

852
00:43:41,640 --> 00:43:44,600
Speaker 2: fucks me up. Yeah, exactly, fucks me up.

853
00:43:44,600 --> 00:43:48,200
Speaker 1: The way my voice fucked up everybody last week fucked

854
00:43:48,280 --> 00:43:49,320
Speaker 1: up never No.

855
00:43:49,600 --> 00:43:52,640
Speaker 2: Yeah, Miles, you better listen to that episode if you're respectful.

856
00:43:53,239 --> 00:43:55,319
Speaker 3: Man and I get all self conscious and that come

857
00:43:55,360 --> 00:44:00,239
Speaker 3: on tomorrow's episode, like, y, so we'll sell you as well.

858
00:44:00,760 --> 00:44:01,120
Speaker 1: Be able to.

859
00:44:01,120 --> 00:44:04,800
Speaker 2: Record anymore because you're just blushing so hard the entire time.

860
00:44:06,840 --> 00:44:10,920
Speaker 3: It's just talking to me with that voice. Yeah, but I.

861
00:44:10,880 --> 00:44:14,200
Speaker 2: Mean, like not putting yourself on camera because people can't

862
00:44:14,239 --> 00:44:18,960
Speaker 2: handle it, just can't. You can't be on zoom.

863
00:44:20,239 --> 00:44:23,400
Speaker 3: It's hard, like so now they can, So how you

864
00:44:23,440 --> 00:44:25,719
Speaker 3: can apply this now to all kinds of sort of

865
00:44:25,760 --> 00:44:28,400
Speaker 3: like network mapping, right if you kind of know this

866
00:44:28,520 --> 00:44:31,800
Speaker 3: to be sort of it averages out to around six

867
00:44:32,080 --> 00:44:35,440
Speaker 3: no matter what helps like with all kinds of like

868
00:44:35,520 --> 00:44:38,160
Speaker 3: I guess you know how we look at pandemics or

869
00:44:38,239 --> 00:44:42,640
Speaker 3: other network dynamic or network dynamic dependent phenomena.

870
00:44:42,960 --> 00:44:46,040
Speaker 1: Yeah, it's six infection cycles and the whole world has.

871
00:44:46,080 --> 00:44:49,040
Speaker 1: The fucking thing is like kind of the dark side

872
00:44:49,200 --> 00:44:54,080
Speaker 1: of this finding is you know, it spreads quick right,

873
00:44:54,360 --> 00:44:57,640
Speaker 1: And I think this is true of also like social contagion,

874
00:44:57,800 --> 00:45:01,200
Speaker 1: like the how quickly ideas spread, you know, because that

875
00:45:01,360 --> 00:45:04,920
Speaker 1: that's a thing that spreads over over social media like

876
00:45:05,000 --> 00:45:08,600
Speaker 1: faster than it ever has. And so I think we're

877
00:45:08,840 --> 00:45:14,839
Speaker 1: less stable like across wide geographic margins than we ever

878
00:45:14,880 --> 00:45:18,839
Speaker 1: have been, Like we're more susceptible to ideas that come

879
00:45:18,880 --> 00:45:23,760
Speaker 1: in and sweep through and change things. And it's definitely

880
00:45:23,800 --> 00:45:27,120
Speaker 1: like a power a powerful study because they yeah, they

881
00:45:27,360 --> 00:45:29,799
Speaker 1: specifically say, when we did the math, we discovered an

882
00:45:29,840 --> 00:45:34,000
Speaker 1: amazing result. This process always ends with social paths centered

883
00:45:34,000 --> 00:45:38,680
Speaker 1: around the number six. Each individual acts independently without knowing

884
00:45:38,760 --> 00:45:41,920
Speaker 1: the network as a whole. Yet this self driven game

885
00:45:42,120 --> 00:45:45,000
Speaker 1: shapes the structure of the entire network, leading to the

886
00:45:45,040 --> 00:45:48,680
Speaker 1: small world phenomenon and the recurring pattern of six degrees.

887
00:45:49,120 --> 00:45:50,120
Speaker 2: That's fucking crazy.

888
00:45:50,600 --> 00:45:53,840
Speaker 3: Yeah, that's yeah, that small world. It is funny that

889
00:45:54,360 --> 00:45:57,000
Speaker 3: like when we went to a museum in like London,

890
00:45:57,080 --> 00:45:59,759
Speaker 3: we ran into somebody who her magic you didn't even

891
00:45:59,760 --> 00:46:01,560
Speaker 3: know book came to find out they were at the

892
00:46:01,600 --> 00:46:06,440
Speaker 3: same college at the same time, randomly like helping a

893
00:46:06,480 --> 00:46:09,200
Speaker 3: stranger up the steps with a baby stroller and we

894
00:46:09,280 --> 00:46:11,480
Speaker 3: had one too, and then started talking and then it's

895
00:46:11,520 --> 00:46:14,359
Speaker 3: just like, oh, yeah, my husband went there, and then

896
00:46:14,400 --> 00:46:16,400
Speaker 3: it's like, what the fuck, that's crazy.

897
00:46:16,520 --> 00:46:18,160
Speaker 1: Yeah, it wasn't even a thing where you were like

898
00:46:18,160 --> 00:46:20,399
Speaker 1: wearing the same sweatshirt and like noticed each other.

899
00:46:20,520 --> 00:46:24,080
Speaker 3: Yeah, no, no, not at all. Just groups of parents

900
00:46:24,080 --> 00:46:26,960
Speaker 3: college had waving up.

901
00:46:28,160 --> 00:46:30,840
Speaker 1: Yeah, does this guy think.

902
00:46:30,760 --> 00:46:34,560
Speaker 2: He is before run into the same people when I'm

903
00:46:34,640 --> 00:46:40,440
Speaker 2: visiting a place, like a different like during my vacation

904
00:46:40,600 --> 00:46:42,640
Speaker 2: or whatever, like at a lot of different places and

905
00:46:42,680 --> 00:46:44,760
Speaker 2: not like tourist attractions. You know what I'm saying.

906
00:46:45,320 --> 00:46:48,120
Speaker 1: It happened to you ever, that happened to me this weekend,

907
00:46:48,440 --> 00:46:51,640
Speaker 1: the Huntington Park or the Huntington Library, whatever the fuck

908
00:46:51,719 --> 00:46:52,080
Speaker 1: that thing is.

909
00:46:52,200 --> 00:46:53,920
Speaker 3: Yeah, it's not in gardens.

910
00:46:54,600 --> 00:46:58,480
Speaker 1: It's an amazing huge garden, and like we arrived with

911
00:46:58,840 --> 00:47:01,319
Speaker 1: like three different groups of people like just in line

912
00:47:01,360 --> 00:47:03,839
Speaker 1: at the same time, and like kept seeing that we

913
00:47:03,840 --> 00:47:05,840
Speaker 1: were just like on the same we would like circulate

914
00:47:05,920 --> 00:47:08,840
Speaker 1: going like all these weird different directions, and like kept

915
00:47:08,880 --> 00:47:09,840
Speaker 1: seeing those same people.

916
00:47:09,840 --> 00:47:13,280
Speaker 2: And it's a big ass park. Oh, so many different

917
00:47:13,320 --> 00:47:16,280
Speaker 2: ways to go. It's like not or when I rented

918
00:47:16,360 --> 00:47:19,960
Speaker 2: my place in Paris. I knew one person there and

919
00:47:20,719 --> 00:47:24,640
Speaker 2: he was like, oh, what's your address? And I gave

920
00:47:24,680 --> 00:47:29,400
Speaker 2: it to him and he started laughing and he's my friend.

921
00:47:30,520 --> 00:47:32,080
Speaker 1: He's half a block.

922
00:47:33,360 --> 00:47:34,960
Speaker 2: His place was half a block away.

923
00:47:35,320 --> 00:47:35,719
Speaker 3: Oh wow.

924
00:47:35,800 --> 00:47:39,520
Speaker 2: Really I knew one person in all of Paris and

925
00:47:39,680 --> 00:47:41,359
Speaker 2: ended up renting an airbnb.

926
00:47:43,080 --> 00:47:48,719
Speaker 1: Huge, it's like ten twelve blocks. It's so big. Find

927
00:47:48,719 --> 00:47:51,719
Speaker 1: no Paris Like it's you got the Eiffel Tower. You

928
00:47:51,760 --> 00:47:53,960
Speaker 1: got a couple streets on the left side of the

929
00:47:54,000 --> 00:47:56,520
Speaker 1: Eiffel Tower, the right.

930
00:47:56,920 --> 00:47:59,880
Speaker 2: Done so far, there's the river. We're done.

931
00:48:00,080 --> 00:48:02,920
Speaker 3: You got the sports, the champs. Sports at least a

932
00:48:04,719 --> 00:48:05,319
Speaker 3: got it all.

933
00:48:06,360 --> 00:48:08,239
Speaker 1: See so it comes back so.

934
00:48:08,239 --> 00:48:10,239
Speaker 2: Culture champs head me too.

935
00:48:12,680 --> 00:48:17,920
Speaker 1: Yeah, amazing. All right, Well let's take another quick break

936
00:48:18,000 --> 00:48:22,319
Speaker 1: and we'll come back and talk about Donald Trump, We'll

937
00:48:22,360 --> 00:48:36,239
Speaker 1: be right back, and we're back, and the internet is,

938
00:48:37,120 --> 00:48:41,640
Speaker 1: you know, just just clogged with jokes about this recent

939
00:48:41,719 --> 00:48:45,600
Speaker 1: flight that had to make an emergency landing because one

940
00:48:45,600 --> 00:48:52,600
Speaker 1: of the passengers had just a crazy, just an unexpected

941
00:48:52,640 --> 00:48:56,600
Speaker 1: amount of diarrhea. It's un like spilling into the aisles

942
00:48:56,800 --> 00:49:00,520
Speaker 1: levels of diarrhea. This was a delta flight for Atlanta

943
00:49:00,560 --> 00:49:03,560
Speaker 1: to Barcelona was forced to turn around and make an

944
00:49:03,560 --> 00:49:07,719
Speaker 1: emergency landing after a passenger. This is the quote that

945
00:49:07,840 --> 00:49:12,000
Speaker 1: I think people are responding to, quote head diarrhea all

946
00:49:12,040 --> 00:49:16,400
Speaker 1: the way through the plane. That is a powerful description

947
00:49:17,280 --> 00:49:20,240
Speaker 1: all the way through the plane.

948
00:49:19,560 --> 00:49:22,320
Speaker 3: Of that, I think. And then they said it was

949
00:49:22,360 --> 00:49:24,080
Speaker 3: a I think then they told that from the cockpit

950
00:49:24,120 --> 00:49:27,200
Speaker 3: they said it was a biohazard event. Yeah, that was

951
00:49:27,360 --> 00:49:31,879
Speaker 3: forcing them to turn the plane around, which is very

952
00:49:32,239 --> 00:49:35,600
Speaker 3: It's something. The amount of obsession with this story is

953
00:49:35,719 --> 00:49:38,800
Speaker 3: kind of wild. I don't know if it's tapping into

954
00:49:38,920 --> 00:49:41,920
Speaker 3: like just in it like innate fear we have as

955
00:49:42,000 --> 00:49:46,440
Speaker 3: people or what. But I I thought this was like

956
00:49:46,480 --> 00:49:48,640
Speaker 3: a headline I would see come and go. But the

957
00:49:48,719 --> 00:49:52,920
Speaker 3: amount of like other places like Vice TMZ, like all

958
00:49:52,960 --> 00:49:55,400
Speaker 3: these other blogs that are now like writing like long

959
00:49:55,600 --> 00:49:59,600
Speaker 3: form articles about it, like where did like where did

960
00:49:59,600 --> 00:50:02,800
Speaker 3: the sort of of like social norms break down during

961
00:50:02,880 --> 00:50:05,560
Speaker 3: this event? Like it is something like I'm now like

962
00:50:05,600 --> 00:50:08,000
Speaker 3: seeing think pieces about like how did we get to

963
00:50:08,239 --> 00:50:09,640
Speaker 3: the point that I was in.

964
00:50:09,560 --> 00:50:10,640
Speaker 5: The eyes the pook?

965
00:50:11,280 --> 00:50:13,520
Speaker 3: Yeah? How what happened? What went wrong?

966
00:50:13,960 --> 00:50:16,640
Speaker 1: What required? Like why why are they saying social norms

967
00:50:16,640 --> 00:50:21,160
Speaker 1: broke down? Like isn't it just somebody who had health problem?

968
00:50:21,400 --> 00:50:24,120
Speaker 3: I think there. I think it's almost wondering, like how

969
00:50:24,160 --> 00:50:27,080
Speaker 3: could it be that much? Why is it all? Like

970
00:50:27,640 --> 00:50:30,640
Speaker 3: why is it all up and down the plane? Like

971
00:50:30,760 --> 00:50:34,600
Speaker 3: with someone in blogging the bathroom. There's just it's caused

972
00:50:34,640 --> 00:50:38,000
Speaker 3: more questions than I feel like we even need to ask,

973
00:50:38,280 --> 00:50:39,319
Speaker 3: you know, how.

974
00:50:39,280 --> 00:50:40,440
Speaker 5: Much weight he lost?

975
00:50:40,880 --> 00:50:41,000
Speaker 2: Right?

976
00:50:41,640 --> 00:50:42,920
Speaker 5: Will it stay off? You know?

977
00:50:43,520 --> 00:50:43,800
Speaker 1: Yeah?

978
00:50:43,840 --> 00:50:47,560
Speaker 3: I don't know, I need Yeah, we know it's.

979
00:50:47,640 --> 00:50:49,800
Speaker 5: Him because women wouldn't roll like that, you know what

980
00:50:49,800 --> 00:50:50,080
Speaker 5: I mean?

981
00:50:51,920 --> 00:50:53,840
Speaker 3: Coming I think it was the dude had to be

982
00:50:53,880 --> 00:50:59,040
Speaker 3: wearing cargo shorts. It's just like a like a ru

983
00:51:00,200 --> 00:51:03,960
Speaker 3: yeah yeah maybe maybe very yeah. But it's like and

984
00:51:04,000 --> 00:51:06,400
Speaker 3: it's just wild too, because now you're seeing like listicles,

985
00:51:06,440 --> 00:51:09,640
Speaker 3: like here's some other unusual reasons like Pooh has like

986
00:51:09,760 --> 00:51:11,839
Speaker 3: derailed a flight and you're like, wow, well.

987
00:51:11,760 --> 00:51:14,719
Speaker 1: Yeah, I mean that's the thing, is not that abnormal?

988
00:51:15,280 --> 00:51:19,319
Speaker 1: Like right, I guess it's usually dogs, right, Like in

989
00:51:19,440 --> 00:51:21,759
Speaker 1: twenty fourteen, a plane had to make an emergency landing

990
00:51:21,800 --> 00:51:24,319
Speaker 1: because the service dog pooped in the aisle. Let me

991
00:51:24,360 --> 00:51:28,440
Speaker 1: get an exact description of that one, because they're like

992
00:51:29,080 --> 00:51:33,000
Speaker 1: up to three times, according to multiple media reports. The

993
00:51:33,000 --> 00:51:34,960
Speaker 1: airlines cab and crew did their best to clean up

994
00:51:35,000 --> 00:51:37,520
Speaker 1: the mess, but then the animal service dog, according to

995
00:51:37,640 --> 00:51:40,320
Speaker 1: US Airways, pooped again up to three times, according to

996
00:51:40,400 --> 00:51:43,759
Speaker 1: multiple media reports. In twenty fifteen, a British Airways flight

997
00:51:43,880 --> 00:51:45,799
Speaker 1: had to turn around due to a smelly pooh and

998
00:51:45,840 --> 00:51:49,960
Speaker 1: the toilet so that presumably was not a dog. I'm

999
00:51:50,000 --> 00:51:52,400
Speaker 1: shocked that it doesn't have a more frequently with dogs,

1000
00:51:52,440 --> 00:51:55,680
Speaker 1: because it did. I had a I don't tell the

1001
00:51:55,719 --> 00:51:58,440
Speaker 1: story very often because it turned out our dog was

1002
00:51:58,600 --> 00:52:01,920
Speaker 1: very sick and like we we didn't realize it at

1003
00:52:01,960 --> 00:52:04,439
Speaker 1: the time we were traveling with our dog, but our

1004
00:52:04,480 --> 00:52:08,080
Speaker 1: dog was you know, tiny, spreading out of the bag

1005
00:52:08,120 --> 00:52:10,560
Speaker 1: we were carrying her, and made a beeline for first

1006
00:52:10,640 --> 00:52:15,080
Speaker 1: class and just took a massive shit in first class.

1007
00:52:15,360 --> 00:52:18,759
Speaker 1: The flight attendants like brought her back, told us we

1008
00:52:18,760 --> 00:52:21,040
Speaker 1: were going to like have to turn the plane around

1009
00:52:21,080 --> 00:52:24,160
Speaker 1: if it happened again, And then it happened. It happened

1010
00:52:24,200 --> 00:52:28,600
Speaker 1: again because she was like an escape artist and it

1011
00:52:28,680 --> 00:52:32,359
Speaker 1: was it was really bad. I had always admired her

1012
00:52:32,400 --> 00:52:34,000
Speaker 1: for being a real one and taking the shit in

1013
00:52:34,040 --> 00:52:38,200
Speaker 1: first class, but you know it, like she ended up

1014
00:52:38,239 --> 00:52:40,480
Speaker 1: being very, very sick, like when we got when we landed,

1015
00:52:40,520 --> 00:52:43,000
Speaker 1: we took her to the vet and like she didn't

1016
00:52:43,239 --> 00:52:46,759
Speaker 1: make it much longer than that, unfortunately. But it was

1017
00:52:47,200 --> 00:52:51,279
Speaker 1: definitely incredibly stressful. And I have always wondered since I'm like,

1018
00:52:52,160 --> 00:52:54,239
Speaker 1: how do all these dogs, Like I see a lot

1019
00:52:54,239 --> 00:52:57,520
Speaker 1: of dogs on the flights, Like how do they they're

1020
00:52:58,120 --> 00:53:01,480
Speaker 1: I'm just impressed that they know that they need to

1021
00:53:01,520 --> 00:53:05,000
Speaker 1: hold it and that they're, like, you know, able to

1022
00:53:05,080 --> 00:53:07,319
Speaker 1: do that the hid time. I guess it's just like

1023
00:53:07,360 --> 00:53:09,839
Speaker 1: the owners like skip a meal beforehand.

1024
00:53:10,200 --> 00:53:12,560
Speaker 3: I guess. I mean, I've flown once with my dog,

1025
00:53:12,600 --> 00:53:15,600
Speaker 3: and that was the only fear I had the entire flight,

1026
00:53:15,960 --> 00:53:18,120
Speaker 3: was like you're gonna take a shit everywhere, Like, yeah,

1027
00:53:18,400 --> 00:53:20,479
Speaker 3: I'm gonna look like the dude with the shitty dog

1028
00:53:20,560 --> 00:53:23,000
Speaker 3: on the plane or the airport. I mean a lot

1029
00:53:23,040 --> 00:53:24,920
Speaker 3: of it had to do with like my own I

1030
00:53:24,920 --> 00:53:27,440
Speaker 3: think shame around having a like it weren't less so

1031
00:53:27,520 --> 00:53:30,040
Speaker 3: about the like worrying about the dogs, Like the dog

1032
00:53:30,120 --> 00:53:32,840
Speaker 3: will make me look a certain way, and I'm not

1033
00:53:32,920 --> 00:53:36,360
Speaker 3: about that life. So I had to maybe put my

1034
00:53:36,360 --> 00:53:38,840
Speaker 3: my my frail ego aside to let the dog do

1035
00:53:38,920 --> 00:53:41,200
Speaker 3: his thing. But yeah, I don't know, It's just I

1036
00:53:41,239 --> 00:53:43,600
Speaker 3: think it's a universal fear we all have, you.

1037
00:53:43,560 --> 00:53:45,799
Speaker 1: Know, Yeah, And I think I think there's also a

1038
00:53:45,800 --> 00:53:48,920
Speaker 1: lot of people like are just focused on what it

1039
00:53:49,000 --> 00:53:54,200
Speaker 1: must be like to be that person who had this experience.

1040
00:53:54,320 --> 00:53:57,600
Speaker 3: Right right, because now all we're talking about is person

1041
00:53:57,600 --> 00:54:01,000
Speaker 3: the person who did this mess and messed everybody's flight

1042
00:54:01,080 --> 00:54:05,320
Speaker 3: to Barcelona. You know what happened? What? How could that

1043
00:54:05,360 --> 00:54:05,760
Speaker 3: have happened?

1044
00:54:06,200 --> 00:54:08,080
Speaker 5: Too much, Carrie could.

1045
00:54:07,880 --> 00:54:10,840
Speaker 3: Be or maybe just having like our terrible air like

1046
00:54:10,920 --> 00:54:14,600
Speaker 3: airport food. That's one thing I'll say, the airport food

1047
00:54:14,719 --> 00:54:18,120
Speaker 3: is better in England than the US, because again I

1048
00:54:18,160 --> 00:54:21,160
Speaker 3: hate to bring up those like easy meal deal sandwiches,

1049
00:54:21,440 --> 00:54:23,360
Speaker 3: but if you buy a sandwich in the US airport

1050
00:54:23,440 --> 00:54:26,360
Speaker 3: is gonna be like a fifteen dollars croissant sandwich with

1051
00:54:26,480 --> 00:54:30,160
Speaker 3: turkey on it that tastes like absolute shit and who

1052
00:54:30,160 --> 00:54:31,839
Speaker 3: knows how good it is. So I feel like it

1053
00:54:31,840 --> 00:54:34,120
Speaker 3: could be it could be our it could be something

1054
00:54:34,160 --> 00:54:36,799
Speaker 3: at Hartsfield Jackson Airport. But I don't know. I don't

1055
00:54:36,840 --> 00:54:39,239
Speaker 3: quite know. The thing with the thing with this, like

1056
00:54:40,000 --> 00:54:42,400
Speaker 3: the BA flight that had to be turned around due

1057
00:54:42,440 --> 00:54:45,640
Speaker 3: to a quote smelly pooh, which is a very English

1058
00:54:45,680 --> 00:54:48,560
Speaker 3: description where Americans would be like, yeah, dude, just shit

1059
00:54:48,640 --> 00:54:52,520
Speaker 3: everywhere smelly pooh had to be I like that they

1060
00:54:52,520 --> 00:54:55,320
Speaker 3: said only fifty percent of the air is being recycled?

1061
00:54:55,920 --> 00:54:59,160
Speaker 3: Is that killing us during the pandemic? Like so much

1062
00:54:59,160 --> 00:55:02,719
Speaker 3: of the air gets re and like filtered or am

1063
00:55:02,760 --> 00:55:04,879
Speaker 3: I am? I completely missing that stat because I feel

1064
00:55:04,920 --> 00:55:06,680
Speaker 3: like that was a thing that people are always told

1065
00:55:06,680 --> 00:55:10,279
Speaker 3: about how the air on airplanes is much better than

1066
00:55:10,320 --> 00:55:11,839
Speaker 3: you would imagine.

1067
00:55:11,480 --> 00:55:14,359
Speaker 1: Right, I mean, fifty percent is still is that a

1068
00:55:14,400 --> 00:55:17,040
Speaker 1: lot of the air? But yeah, I don't I don't know.

1069
00:55:17,080 --> 00:55:19,720
Speaker 1: I don't know what that even means, that fifty percent

1070
00:55:19,760 --> 00:55:23,280
Speaker 1: of the air is being recycled and cleaned, right, But yeah,

1071
00:55:23,680 --> 00:55:26,279
Speaker 1: a decision was taken to return for the safety and

1072
00:55:26,360 --> 00:55:29,800
Speaker 1: comfort of our customers on board. Yeah, very classy.

1073
00:55:29,880 --> 00:55:30,240
Speaker 3: Classic.

1074
00:55:30,440 --> 00:55:33,000
Speaker 4: Someone complained about the shit. You know that it can't

1075
00:55:33,040 --> 00:55:36,800
Speaker 4: have been that much. Someone complained, someone just couldn't handle

1076
00:55:36,840 --> 00:55:37,120
Speaker 4: the shit.

1077
00:55:38,160 --> 00:55:42,239
Speaker 1: But in this one, there have been videos from the

1078
00:55:42,480 --> 00:55:46,120
Speaker 1: from inside the plane after it all went down, and

1079
00:55:46,280 --> 00:55:49,480
Speaker 1: it looks like there are streaks of something running up

1080
00:55:49,800 --> 00:55:51,240
Speaker 1: and down the aisles.

1081
00:55:51,680 --> 00:55:53,799
Speaker 3: Those you know, it's funny though in these articles, you're like,

1082
00:55:53,800 --> 00:55:58,239
Speaker 3: those images have not been confirmed by the airline. It

1083
00:55:58,320 --> 00:56:02,319
Speaker 3: could be topic would be Scott scat propaganda, So I'm

1084
00:56:02,360 --> 00:56:03,320
Speaker 3: not sure entirely.

1085
00:56:03,440 --> 00:56:05,040
Speaker 5: Oh yeah, it was very bad.

1086
00:56:06,200 --> 00:56:07,600
Speaker 1: Yeah, yeah, oh my god.

1087
00:56:07,760 --> 00:56:09,919
Speaker 3: Well they made at least they made their flight after

1088
00:56:09,960 --> 00:56:10,880
Speaker 3: a five hour delay.

1089
00:56:11,040 --> 00:56:13,600
Speaker 5: So you know who should play the guy in the movie?

1090
00:56:14,160 --> 00:56:17,279
Speaker 1: Right? It's a it's a great question. I mean, I

1091
00:56:17,280 --> 00:56:19,440
Speaker 1: think it kind of has to be Tim Robinson.

1092
00:56:19,640 --> 00:56:23,680
Speaker 3: But is it someone nervous? Is it? Or is it?

1093
00:56:23,840 --> 00:56:26,560
Speaker 3: Or do you see someone with confidence at it? You

1094
00:56:26,600 --> 00:56:27,960
Speaker 3: know what I mean? Like I can see it being

1095
00:56:27,960 --> 00:56:29,440
Speaker 3: a villain too. It's like, hey, I don't know what

1096
00:56:29,480 --> 00:56:33,680
Speaker 3: you want me to do, you know. Oh, you know,

1097
00:56:33,800 --> 00:56:35,520
Speaker 3: like I think if we put ourselves in that situation,

1098
00:56:35,600 --> 00:56:38,600
Speaker 3: we might be a little less brazen or confident about it.

1099
00:56:38,640 --> 00:56:40,080
Speaker 3: But hey, yeah, it's like.

1100
00:56:40,120 --> 00:56:43,080
Speaker 1: A confident person then it almost is like are they

1101
00:56:43,200 --> 00:56:45,359
Speaker 1: just doing it on purpose because they feel like they

1102
00:56:45,360 --> 00:56:48,280
Speaker 1: can get away with it? Like that that becomes weird.

1103
00:56:48,520 --> 00:56:50,880
Speaker 5: And how long till you fly again? Do you know

1104
00:56:50,920 --> 00:56:51,319
Speaker 5: what I mean?

1105
00:56:51,400 --> 00:56:51,480
Speaker 6: Like?

1106
00:56:51,560 --> 00:56:53,520
Speaker 5: How long to you right?

1107
00:56:54,120 --> 00:56:56,480
Speaker 3: Do they right? Do they do? You get a new plane?

1108
00:56:56,680 --> 00:56:59,000
Speaker 3: Or they're like or you go back in the plane

1109
00:56:59,000 --> 00:57:00,960
Speaker 3: and you're kind of clocking all the master You're like, oh,

1110
00:57:01,000 --> 00:57:03,040
Speaker 3: they didn't really get everything. But you know what, I

1111
00:57:03,040 --> 00:57:05,759
Speaker 3: don't want to delay my vacation, so let's go.

1112
00:57:05,960 --> 00:57:09,080
Speaker 1: Yeah, great questions that we don't We don't currently have

1113
00:57:09,160 --> 00:57:11,920
Speaker 1: the answer to it. But obviously this is an evolving story.

1114
00:57:12,160 --> 00:57:15,920
Speaker 1: Obviously that we will you know, well, we'll keep updating

1115
00:57:16,080 --> 00:57:19,720
Speaker 1: and will will. It's now history has its eyes on

1116
00:57:19,760 --> 00:57:23,800
Speaker 1: this one. We'll see where it lands, so to speak.

1117
00:57:24,320 --> 00:57:24,480
Speaker 5: Uh.

1118
00:57:24,520 --> 00:57:28,960
Speaker 1: And finally, Hollywood keeps trying to recreate Barbenheimer in weird ways,

1119
00:57:29,440 --> 00:57:32,760
Speaker 1: which like, so one thing, we're getting a low budget

1120
00:57:32,880 --> 00:57:36,760
Speaker 1: parody movie called Barbenheimer about a group of quote fed

1121
00:57:36,840 --> 00:57:39,840
Speaker 1: up female dolls who build an a bomb to bring

1122
00:57:39,920 --> 00:57:44,120
Speaker 1: down the patriarchy once and for all. The poster is

1123
00:57:44,520 --> 00:57:48,880
Speaker 1: a Barbie doll silhouette in front of mushroom cloud and

1124
00:57:48,960 --> 00:57:54,640
Speaker 1: it says d cup a bomb Barbenheimer exploding soon m

1125
00:57:55,920 --> 00:57:59,520
Speaker 1: The studio in charge of this production is Full Moon Features,

1126
00:58:00,080 --> 00:58:04,000
Speaker 1: best known for the puppet Master and Trancers movies.

1127
00:58:04,200 --> 00:58:05,120
Speaker 3: What's Transfers.

1128
00:58:05,240 --> 00:58:09,760
Speaker 1: I'm not familiar with puppet Master Trancers. Seems like it's

1129
00:58:09,800 --> 00:58:13,760
Speaker 1: like trying to capitalize on some other movie. But I'm not.

1130
00:58:13,840 --> 00:58:17,400
Speaker 1: I'm not sure what what exactly that is.

1131
00:58:17,520 --> 00:58:21,640
Speaker 3: It's like, uh, it's I don't know it. It's the

1132
00:58:21,680 --> 00:58:23,760
Speaker 3: first one came out in nineteen eighty.

1133
00:58:23,480 --> 00:58:26,680
Speaker 1: Four, The Transfers, the first Transers.

1134
00:58:26,840 --> 00:58:30,640
Speaker 3: It looks like some janky version of like Tron, maybe

1135
00:58:31,320 --> 00:58:32,200
Speaker 3: not Transformers.

1136
00:58:32,320 --> 00:58:36,560
Speaker 1: Huh no, yeah, it's like a fake Transformer's.

1137
00:58:35,760 --> 00:58:38,600
Speaker 5: Fake Oh I see.

1138
00:58:38,240 --> 00:58:43,280
Speaker 1: Sorry, fantasm like like the this feels like not not

1139
00:58:43,400 --> 00:58:44,920
Speaker 1: the highest level of it.

1140
00:58:44,880 --> 00:58:48,400
Speaker 3: Says a gruff bounty hunter travels back in time to

1141
00:58:48,520 --> 00:58:51,640
Speaker 3: nineteen eighties Los Angeles to stop a twisted criminal who

1142
00:58:51,720 --> 00:58:55,200
Speaker 3: can transform people into zombie like creatures.

1143
00:58:55,200 --> 00:58:58,280
Speaker 1: Oh that sucks hard hitting it? Well, they so this

1144
00:58:58,320 --> 00:59:00,360
Speaker 1: came out in eighty four, so they.

1145
00:59:00,280 --> 00:59:03,200
Speaker 3: Were of the first transfers did Yeah? Yeah, Helen Hunt

1146
00:59:03,240 --> 00:59:03,800
Speaker 3: was even in it.

1147
00:59:04,280 --> 00:59:09,680
Speaker 1: Wow, all right, so but mostly people, uh in studios

1148
00:59:09,720 --> 00:59:12,200
Speaker 1: keep trying to awkwardly force pairs of movies that happen

1149
00:59:12,240 --> 00:59:14,959
Speaker 1: to be releasing on the same day into the Barbenheimer mold.

1150
00:59:15,320 --> 00:59:18,240
Speaker 1: The most prevalent attempt at the moment seems to be

1151
00:59:18,360 --> 00:59:23,040
Speaker 1: Saw Patrol because Saw X and the new Paw Patrol

1152
00:59:23,120 --> 00:59:26,520
Speaker 1: movie both open on September twenty ninth, and so people

1153
00:59:26,520 --> 00:59:29,600
Speaker 1: are like, forget Barbenheimer, get ready for Saw Patrol on

1154
00:59:29,640 --> 00:59:30,680
Speaker 1: September twenty ninth.

1155
00:59:30,720 --> 00:59:33,560
Speaker 3: What is the logic they're applying. It's just that, like

1156
00:59:33,880 --> 00:59:38,200
Speaker 3: Saw in Paul rhyme, Therefore it's the LC double feature

1157
00:59:38,480 --> 00:59:39,200
Speaker 3: of all time.

1158
00:59:39,560 --> 00:59:41,160
Speaker 1: That's what worked about the last one.

1159
00:59:41,240 --> 00:59:42,600
Speaker 5: Which one are you gonna watch first?

1160
00:59:43,080 --> 00:59:43,280
Speaker 1: Yeah?

1161
00:59:43,400 --> 00:59:45,320
Speaker 3: Yeah, Saudia, which one you catch them first? You go

1162
00:59:45,320 --> 00:59:49,760
Speaker 3: in Paw Patrol first? Or Saw Saw X first? Poo

1163
00:59:50,640 --> 00:59:51,320
Speaker 3: go Paw first?

1164
00:59:51,400 --> 00:59:53,360
Speaker 1: Okay, yeah, yeah, See. I think you need to watch

1165
00:59:53,520 --> 00:59:57,880
Speaker 1: Saw to like get ready to feel all of like

1166
00:59:57,920 --> 01:00:00,360
Speaker 1: what is actually happening in the Paw Patrol movie these

1167
01:00:00,440 --> 01:00:00,880
Speaker 1: I think.

1168
01:00:02,280 --> 01:00:06,840
Speaker 3: You need to prepare you, right, because the overlap of

1169
01:00:07,200 --> 01:00:10,040
Speaker 3: that that that's not even a Venn diagram of audiences.

1170
01:00:10,080 --> 01:00:13,720
Speaker 3: It's just two circles on top of each other, right, yeah.

1171
01:00:13,600 --> 01:00:17,240
Speaker 1: Yeah, yeah, Like Ali, Barbie and Oppenheimer were obviously very

1172
01:00:17,280 --> 01:00:21,600
Speaker 1: different movies, but they you know, they could conceivably cater

1173
01:00:21,680 --> 01:00:24,560
Speaker 1: to the same audience like movie lovers first of all,

1174
01:00:24,600 --> 01:00:29,440
Speaker 1: and then like adults, but like, no adult wants to

1175
01:00:29,480 --> 01:00:32,520
Speaker 1: see Paw Patrol like that. That's a that's an actual

1176
01:00:32,680 --> 01:00:36,800
Speaker 1: scientific fact. No adult is going to Paw Patrol with

1177
01:00:37,960 --> 01:00:41,400
Speaker 1: being dragged there by a child, right, But kids would

1178
01:00:41,400 --> 01:00:46,560
Speaker 1: love to see Saw. They would They probably shouldn't. Yeah, yeah,

1179
01:00:46,560 --> 01:00:49,000
Speaker 1: there's a lot of fun. There's a lot of creativity

1180
01:00:49,240 --> 01:00:52,320
Speaker 1: in Saw and things that appeal to a child.

1181
01:00:53,000 --> 01:00:57,360
Speaker 3: They left puzzles, especially once that end with you becoming

1182
01:00:57,440 --> 01:01:01,560
Speaker 3: disfigured or dying. Yeah, of course, but.

1183
01:01:01,480 --> 01:01:06,880
Speaker 1: They they are like both film studios are like playing

1184
01:01:06,920 --> 01:01:10,440
Speaker 1: into this, like they did a Saw like Saw Patrol

1185
01:01:10,960 --> 01:01:15,080
Speaker 1: social media post like they had the Paw Patrol puppies

1186
01:01:15,080 --> 01:01:17,720
Speaker 1: in a post from Paramount Picture saying seven tickets to

1187
01:01:17,800 --> 01:01:24,080
Speaker 1: Saw Patrol please hashtag Saw Patrol. And then Jigsaw doing

1188
01:01:24,200 --> 01:01:29,200
Speaker 1: like a weird children's puzzle and then I don't know,

1189
01:01:29,240 --> 01:01:34,280
Speaker 1: it says there is no escape. This is not really

1190
01:01:34,400 --> 01:01:37,560
Speaker 1: uh oh, but the children's puzzle is a Paw Patrol puzzle.

1191
01:01:37,760 --> 01:01:41,480
Speaker 1: So it's just Jigsaw having a meltdown and deciding to

1192
01:01:42,040 --> 01:01:46,040
Speaker 1: killtrol Post. That picture is like of like a mannequin

1193
01:01:46,400 --> 01:01:48,440
Speaker 1: that they just put a pencil in the hands, Like

1194
01:01:48,520 --> 01:01:51,800
Speaker 1: that is not like real hands and a jacket. You known, Like,

1195
01:01:51,840 --> 01:01:54,640
Speaker 1: look how rigid the hands are in that picture. It's like,

1196
01:01:55,320 --> 01:01:58,400
Speaker 1: dress this doll up and we'll say it's Jigsaw. But

1197
01:01:58,480 --> 01:02:00,640
Speaker 1: isn't Jigsaw That that Jigs was a toy?

1198
01:02:00,760 --> 01:02:00,960
Speaker 3: Right?

1199
01:02:01,640 --> 01:02:01,880
Speaker 1: Oh?

1200
01:02:02,000 --> 01:02:05,280
Speaker 3: Oh is it? Huh? Who is the guy? Oh? But

1201
01:02:05,280 --> 01:02:07,280
Speaker 3: then there was the guy Loki who was dying in

1202
01:02:07,320 --> 01:02:11,960
Speaker 3: the background, right, who was right? Yeah, yeah, yeah, okay, okay,

1203
01:02:12,080 --> 01:02:14,280
Speaker 3: I forgot See I'm this is so I don't fuck

1204
01:02:14,320 --> 01:02:16,000
Speaker 3: with those movies. I'm like, I don't want to see

1205
01:02:16,000 --> 01:02:18,120
Speaker 3: something where someone's head gets like sucked out with a

1206
01:02:18,200 --> 01:02:19,120
Speaker 3: vacuum or some shit.

1207
01:02:19,200 --> 01:02:21,200
Speaker 5: I'm like, yeah, I'm gonna give it that.

1208
01:02:21,840 --> 01:02:24,040
Speaker 3: Yeah. Yeah, life's already too fucked up. I don't need

1209
01:02:24,080 --> 01:02:26,240
Speaker 3: to be like, yo, you'd be worse if your eyeballs

1210
01:02:26,240 --> 01:02:28,360
Speaker 3: got fucking blown out by a fucking vacuum.

1211
01:02:28,360 --> 01:02:31,960
Speaker 1: Like no, I'm good then, all right, So just others

1212
01:02:31,960 --> 01:02:34,760
Speaker 1: that are they're trying to shoehorn in Taylor swift eras

1213
01:02:34,840 --> 01:02:38,000
Speaker 1: Tour and the Exorcist movie. They were trying to make

1214
01:02:38,040 --> 01:02:42,640
Speaker 1: it into exor Swift, but then the Exorcist movie fucked

1215
01:02:42,640 --> 01:02:44,520
Speaker 1: off because they didn't want to be on the same

1216
01:02:44,600 --> 01:02:48,400
Speaker 1: day that Taylor Swift was like breaking the box office, right,

1217
01:02:48,600 --> 01:02:51,280
Speaker 1: and then Indie Wire questioned if the new Barbenheimer could

1218
01:02:51,320 --> 01:02:54,680
Speaker 1: be the release of Martin Scorsese's historical drama Killers of

1219
01:02:54,720 --> 01:02:59,040
Speaker 1: the Flower Moon and the sci fi drama Foe, which.

1220
01:02:59,200 --> 01:03:03,360
Speaker 3: Like this, I don't know. It's just it's very confusing.

1221
01:03:03,400 --> 01:03:06,160
Speaker 1: I don't know what they It's just I think it

1222
01:03:06,320 --> 01:03:09,080
Speaker 1: just think happened the time, right.

1223
01:03:09,480 --> 01:03:12,960
Speaker 3: It just speaks to like the quote unquote brain power

1224
01:03:13,360 --> 01:03:17,440
Speaker 3: in Hollywood too, where you see like they see a

1225
01:03:17,520 --> 01:03:21,640
Speaker 3: thing work once and then the first thought is we

1226
01:03:21,720 --> 01:03:24,960
Speaker 3: need to replicate this in the most literal way possible,

1227
01:03:25,360 --> 01:03:27,960
Speaker 3: not like zooming out and trying to understand what happened.

1228
01:03:27,960 --> 01:03:30,480
Speaker 3: They're like, I don't know, they combined the word Barbie

1229
01:03:30,480 --> 01:03:34,480
Speaker 3: and Oppenheimer, and people fucking lost it. So let's do

1230
01:03:34,560 --> 01:03:34,840
Speaker 3: it with.

1231
01:03:34,840 --> 01:03:35,560
Speaker 1: All their money.

1232
01:03:35,840 --> 01:03:36,040
Speaker 3: Yeah.

1233
01:03:36,080 --> 01:03:38,800
Speaker 1: Maybe it's like a magic word and we say magic

1234
01:03:38,840 --> 01:03:40,320
Speaker 1: word and they give us all their money.

1235
01:03:40,680 --> 01:03:42,680
Speaker 3: We need to find we need to invent the new

1236
01:03:42,960 --> 01:03:46,600
Speaker 3: magic word to unlock people's brains to buy double feature tickets,

1237
01:03:46,880 --> 01:03:51,640
Speaker 3: rather than saying this was a you know, serendipitous occurrence

1238
01:03:52,080 --> 01:03:55,360
Speaker 3: where it was just through sheer coincidence and people being

1239
01:03:55,440 --> 01:03:58,120
Speaker 3: witty on the internet just kind of became a meme

1240
01:03:58,160 --> 01:03:59,840
Speaker 3: where they're like, I don't know, these are two ends

1241
01:03:59,840 --> 01:04:02,680
Speaker 3: of the spectrum that would be kind of interesting, rather

1242
01:04:02,720 --> 01:04:04,560
Speaker 3: than being like exer Swift. Huh.

1243
01:04:05,600 --> 01:04:09,000
Speaker 4: I think a good mashup would be Scarfacing Godfather. Wouldn't

1244
01:04:09,000 --> 01:04:09,520
Speaker 4: that be great?

1245
01:04:10,280 --> 01:04:12,160
Speaker 3: M m yeah, noah.

1246
01:04:12,920 --> 01:04:14,080
Speaker 1: At the same time, Hell.

1247
01:04:14,000 --> 01:04:17,160
Speaker 3: Yeah, I'm wondering though too, Like in the past, I'm

1248
01:04:17,200 --> 01:04:19,880
Speaker 3: sure like there were a ton of weekends like this

1249
01:04:20,120 --> 01:04:22,360
Speaker 3: where you had movies, but we just didn't have the

1250
01:04:22,400 --> 01:04:25,240
Speaker 3: Internet to like give it like a new name where

1251
01:04:25,560 --> 01:04:28,200
Speaker 3: I'm sure too, like two great films came out at

1252
01:04:28,200 --> 01:04:30,280
Speaker 3: the same time, but yeah, that's so obsessed with.

1253
01:04:30,240 --> 01:04:32,000
Speaker 1: The or we're at least out at the same time.

1254
01:04:32,000 --> 01:04:34,320
Speaker 1: Because movies used to stay out for like six months,

1255
01:04:34,560 --> 01:04:36,400
Speaker 1: they would be in theaters. They were like, you know,

1256
01:04:36,480 --> 01:04:40,080
Speaker 1: that's that's all we got for this year, folks. We

1257
01:04:40,200 --> 01:04:44,840
Speaker 1: made three movies. We hope you like one of them. Yeah,

1258
01:04:44,840 --> 01:04:48,640
Speaker 1: the other options Despicable Meat four opens opposite Mufasa the

1259
01:04:48,720 --> 01:04:52,640
Speaker 1: Lion King, which those are just two animated movies for children.

1260
01:04:52,720 --> 01:04:55,880
Speaker 1: What the fuck are you guys talking about? But yeah, yeah,

1261
01:04:55,920 --> 01:04:58,600
Speaker 1: it really feels like people have somehow forgotten that two

1262
01:04:58,640 --> 01:05:00,760
Speaker 1: movies opening on the same day is just a thing

1263
01:05:00,800 --> 01:05:03,160
Speaker 1: that happens literally every single week.

1264
01:05:03,360 --> 01:05:07,400
Speaker 3: Right, Like I mean, I feel like maybe like back

1265
01:05:07,400 --> 01:05:10,520
Speaker 3: when albums used to come out on Tuesdays, sometimes you

1266
01:05:10,520 --> 01:05:13,160
Speaker 3: would have those like blessed release days. You're like, yo,

1267
01:05:13,240 --> 01:05:16,919
Speaker 3: I'm actually getting two albums today. But again, it's it's

1268
01:05:17,000 --> 01:05:19,080
Speaker 3: just the release schedule, folks, And I don't think you

1269
01:05:19,080 --> 01:05:19,600
Speaker 3: want to see this.

1270
01:05:20,240 --> 01:05:22,240
Speaker 4: What it is is that, you know, the first week

1271
01:05:22,640 --> 01:05:25,440
Speaker 4: sales they like really mean a lot, and I think

1272
01:05:25,480 --> 01:05:28,160
Speaker 4: it's obviously it's all about the money, right, So they're

1273
01:05:28,200 --> 01:05:30,800
Speaker 4: just trying to get that did to create that big

1274
01:05:30,840 --> 01:05:33,440
Speaker 4: hype so that people are just looking at the listings

1275
01:05:33,440 --> 01:05:35,240
Speaker 4: and be like, oh, that's that's in the top, so

1276
01:05:35,400 --> 01:05:38,439
Speaker 4: that's the top five, top whatever, let's go check that out.

1277
01:05:38,720 --> 01:05:41,200
Speaker 3: Yeah, what was the what was the one that, like

1278
01:05:41,240 --> 01:05:43,760
Speaker 3: Beetlejuice was gonna come out like with something else. They

1279
01:05:43,800 --> 01:05:46,280
Speaker 3: were saying, Oh, the new Beetlejuice movie. Might they might

1280
01:05:46,320 --> 01:05:48,840
Speaker 3: have something with that new Beetlejuice thing coming out at

1281
01:05:48,840 --> 01:05:50,880
Speaker 3: the same time as another movie. But I already forgot

1282
01:05:50,960 --> 01:05:55,800
Speaker 3: because it doesn't fucking matter. It's two movies fucking coming out, right.

1283
01:05:56,120 --> 01:05:58,640
Speaker 5: I vaguely remember it, though, I know what you're talking about.

1284
01:05:59,000 --> 01:06:01,600
Speaker 3: Yeah, yeah, I know that. I think. I'm sure there's

1285
01:06:01,600 --> 01:06:06,880
Speaker 3: already articles heralding like whatever you beatle former movie is

1286
01:06:06,960 --> 01:06:08,440
Speaker 3: or whatever the fuck we're gonna get.

1287
01:06:09,440 --> 01:06:14,120
Speaker 1: All right, that's gonna do it for this week's weekly Zeitgeist.

1288
01:06:14,200 --> 01:06:17,680
Speaker 1: Please like and review the show If you like, the

1289
01:06:17,760 --> 01:06:23,040
Speaker 1: show means the world de Miles. He needs your validation, folks.

1290
01:06:23,600 --> 01:06:26,680
Speaker 1: I hope you're having a great weekend, and I will

1291
01:06:26,680 --> 01:07:01,520
Speaker 1: talk to you Monday. By