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Speaker 1: Hello the Internet, and welcome to season three oh three,

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Speaker 1: episode one of Dally's Guys Today production of iHeart Radio.

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Speaker 2: Have you heard it?

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Speaker 3: You heard it?

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Speaker 1: Youback? This is a podcast Miles in case you forgot

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Speaker 1: where we take it, take a deep a dive into

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Speaker 1: America's share consciousness. It is Wednesday, September sixth, twenty twenty three.

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Speaker 2: Oh yeah, you don't know what that is? Six Oh yeah,

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Speaker 2: it's National Read a Book Day, National Coffee ice Cream Day.

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Speaker 1: Kind of a light day for first that's it. Yeah,

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Speaker 1: read a book and enjoy some coffee ice cream.

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Speaker 2: Yeah, why not do them?

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Speaker 1: Hey, we appreciate the slow day. Yeah, national word of

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Speaker 1: what day? Things are? Well, my name is Jack O'Brien

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Speaker 1: aka freeze up like my brain had a glitch. Freeze

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Speaker 1: up like my brain had a glitch. Whoa, whoa must

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Speaker 1: be this Seizing of the Midge. Yeah, that is courtesy

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Speaker 1: of Hugo Boss the Little Season of the Witch, Seizing

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Speaker 1: of the Mitch. Okay, and I'm thrilled to be joined

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Speaker 1: as always by my co host mister Miles Grant and

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Speaker 1: Meaviglioso Toornato.

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Speaker 2: Uh so good to be back. It's a Miles Great

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Speaker 2: aka the Prince of Pulia, the man of Mono, the

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Speaker 2: og of Ostuni, and the wonderful lover of Thank you

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Speaker 2: so much for having me. It's just so good to

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Speaker 2: be back in this place. I guess you called the

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Speaker 2: United States.

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Speaker 1: I was just.

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Speaker 2: Spendulia, which is known as the heel of the Buddha

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Speaker 2: Italy and between the Adriatic sea views and the fresh seafood.

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Speaker 2: I must say it is a storied place that you

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Speaker 2: simply must visit.

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Speaker 4: How about them conical duns though, oh.

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Speaker 2: You mean the truly those are the traditional farmhouses of

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Speaker 2: the region which have these sort of yes, like you say,

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Speaker 2: whitewashed conical domes that are just they're whimsical. Whimsy's the

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Speaker 2: only word that can describe them.

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Speaker 1: You can just assume, listener. I know you can't see,

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Speaker 1: but you could just assume that at any point during

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Speaker 1: this conversation, one of us will be kissing our hands,

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Speaker 1: like doing a little chef's kiss thing, while the other

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Speaker 1: one's talking yes in vigorous agreement.

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Speaker 2: Thank you, thank you, it's great to be back. Thank

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Speaker 2: you to everybody who guest hosted. And like you heard

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Speaker 2: in yesterday's weekend recap episode, I am recharged and I've

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Speaker 2: experienced growth again. Shout out to Jack for putting my

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Speaker 2: brain go outside your comfort zone consistently zone.

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Speaker 4: No.

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Speaker 2: But now every day though, I really think about that shit,

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Speaker 2: like being like whether there's just a little light exercise,

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Speaker 2: a little you know, chores I've been putting off doing

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Speaker 2: them right away kind of thing. Just always being like, no,

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Speaker 2: go against that, go against the sort of know your

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Speaker 2: default comfort zone.

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Speaker 1: Slapping her face in the mirror like a movie psycho. Yeah,

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Speaker 1: it's just anything growing on. Well, Miles, we are thrilled

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Speaker 1: to be joined in our third seat by one of

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Speaker 1: the people who was sitting in our second seat, that

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Speaker 1: very seat you sit on while you were away in Italy.

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Speaker 1: A very talented writer and stand up comedian. Her advice

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Speaker 1: on sex and travel has been featured everywhere mental strategist

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Speaker 1: betches anywhere men need help fingering to quote the bio

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Speaker 1: on her website, Yeah quotes the Great Ninety Day Fiance

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Speaker 1: podcast four to twenty de Fiance with some guy named Miles.

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Speaker 1: Welcome to the show, the hilarious, the talented Sophia Alexandra.

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Speaker 4: Yoh, oh my goodness, I'm so glad I get the

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Speaker 4: clowned with both of you. Because I was busy being

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Speaker 4: Italian Miles while Italian Miles was being Italian Miles. It

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Speaker 4: was confusing for everyone.

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Speaker 2: Oh well, it's always good to it's as wild to

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Speaker 2: also be do this podcast with the Sofia because we

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Speaker 2: have our own language of incoherent banter on fourty. Now

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Speaker 2: we must make a coherent for the daily geist for

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Speaker 2: the children. Yes, exactly.

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Speaker 1: Well you can tell you guys have spent a lot

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Speaker 1: of time talking to one another because Sofia absolutely nailed

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Speaker 1: her prediction of what Italian Miles was going to be. Yes,

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Speaker 1: when he came back, Yeah.

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Speaker 2: As well, yeah you know, and as did you, Like,

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Speaker 2: I think between the two of you, you knew it

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Speaker 2: was going to be some form of intolerable guy version.

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Speaker 2: Stanley Tucci on Fucking Like the Exponent.

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Speaker 4: Of twenty I believe the first thing I said to

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Speaker 4: Jack was, oh God, he's gonna be so unbearable. Comes back.

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Speaker 3: And he's like, I know.

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Speaker 4: And then right as I show up today, I'm like

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Speaker 4: this fool fakaca and then just like talking about.

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Speaker 1: Morning all morning, what can I say?

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Speaker 4: You know you knew you knew Chef's kiss m He.

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Speaker 1: Did bring a live mandolin player back from Italy with him.

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Speaker 1: So anytime you hear mandolin music that's it's live, you

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Speaker 1: can assume it's Captain Corelli's.

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Speaker 2: When I when I was doing deep, when I was

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Speaker 2: coming back in the country, trying to explain who the

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Speaker 2: mandolin player was, I was like, this is my other

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Speaker 2: son who was older than we'd like to just come home.

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Speaker 2: We're just coming home.

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Speaker 4: We're regular family. I'm like that politician and his boyfriend's

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Speaker 4: son that he adopted.

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Speaker 2: What yeah, yeah, or are you talking about Matt Gates?

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Speaker 4: You know I am yeah, yeah, yeah, yeah, very boyfriend's son.

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Speaker 2: Somehow I became shadier than Matt Gates trying to smuggle

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Speaker 2: an older mandolin player back into the United States. But

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Speaker 2: it happens.

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Speaker 1: This immigration form is really about found family, like many

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Speaker 1: of my favorite films and TV shows. Anyways, all right, Sophia,

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Speaker 1: we're gonna get to know you a little bit better

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Speaker 1: in a moment. First, a couple of things. We're talking about.

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Speaker 1: Cop City protesters just got hit with the rico in Georgia.

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Speaker 1: So yeah, Georgia is it. It's just a dark story

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Speaker 1: all the way through. Yeah, So we'll tell you about

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Speaker 1: what's going on there some private equity firms who you'll

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Speaker 1: be you'll be shocked to know private equity is involved

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Speaker 1: in the building of a sixty million dollar police city.

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Speaker 4: Yeah, truly a lease industrial complex.

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Speaker 2: Yeah, it's actually sixty million coming from corporate donors, and

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Speaker 2: I think the other thirty is coming from also Oh

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Speaker 2: my bad.

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Speaker 1: Yeah, definitely a lot we're gonna talk about. Uh, there's

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Speaker 1: a lot of talk on the right about how Trump

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Speaker 1: is going to be assassinated. Tucker Carlson keeps bringing it up.

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Speaker 1: We will talk already Tuckers. Yeah, yeah, so he really

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Speaker 1: wants that to happen. He's at the edge of the

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Speaker 1: pool trying to psych himself up to jump in. But

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Speaker 1: there's a long history of this, going back to I

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Speaker 1: had kind of forgotten this the twenty sixteen campaign, where

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Speaker 1: somebody raised a sign that was critical of Trump and

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Speaker 1: somebody else in his crowd yelled gone, and then everyone

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Speaker 1: was like, there was an attempt at assassination on Donald Trump.

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Speaker 1: Those complete bullshit. So we'll talk about that. We'll talk

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Speaker 1: about the six degrees of Kevin Bacon being a mathematical fact.

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Speaker 1: They did a study into the six degrees of separation

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Speaker 1: that you know we're all pretty much on average six

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Speaker 1: degrees separated from one another, and found that it's actually

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Speaker 1: like true, almost invariably. So we'll talk about why that's true.

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Speaker 1: We might even talk about Elon Musk claiming that the

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Speaker 1: Anti Defamation League is the reason that he's bad at

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Speaker 1: his job, all of that plenty more. But first, Sophia,

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

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Speaker 1: from your search history?

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Speaker 4: Okay, so I have recently gone insane, and thank you

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Speaker 4: so much. It's smith. I've been working so hard. It's

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Speaker 4: really just it's just an honor to be nominated.

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Speaker 2: And then right, yeah, Tuly on your first try.

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Speaker 4: This is how you know I'm insane. Okay. I went

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Speaker 4: from not caring or liking Taylor Swift at all to

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Speaker 4: now joining a reddit called Gaylor, where I have seen

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Speaker 4: multiple slideshow presentations that prove that Taylor Swift was gay

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Speaker 4: with Carly Klass and others that proved that she was

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Speaker 4: also gay with Diana Agron from Glee and also this

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Speaker 4: other model from Britain named Lily. They are all just

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Speaker 4: the same white woman. She's just fucking herself over and

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Speaker 4: over again. It's just like kind of fascinating, and now

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Speaker 4: like this is how you know I've gone insane, because

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Speaker 4: if you look at that search history, you will probably

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Speaker 4: think I am seventeen maybe I don't know.

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Speaker 2: And you're shipping shipping Taylor with all these models.

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Speaker 4: I like, I don't care that. It's like I don't

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Speaker 4: have a vested interest in the relationships, right, I care

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Speaker 4: about it in the same way that if like you

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Speaker 4: found out that, like I don't know, Obama and Biden

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Speaker 4: were lovers, you were like, Okay, I need to know

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Speaker 4: a little bit more about how the fuck this worked,

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Speaker 4: Like how did you pull this off?

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Speaker 2: When did they get together? I need to all of

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Speaker 2: the questions.

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Speaker 4: Yeah, it's like, well how do you do that and

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Speaker 4: have full time boyfriends? Like this is a lot of

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Speaker 4: like like covering being gay, Like how how are you

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Speaker 4: pulling it off? So anyway, just if you want to

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Speaker 4: lose your goddamn mind, go down that rabbit hole.

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Speaker 2: Are these slide shows like particularly compelling or they're just

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Speaker 2: like look at all these images that if you have

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Speaker 2: your confirmation bias set to galer, then yes.

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Speaker 4: And yes, But also some of the stuff is like wow,

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Speaker 4: that is very gay. I don't know that I should

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Speaker 4: be out here trying to decide whether Taylor is gay

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Speaker 4: or not. But the whole reddit is run by other

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Speaker 4: gay people who are just obsessed with the idea that like,

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Speaker 4: she's queer and her music is queer, and she's been

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Speaker 4: telling us and showing us, and we're just like not

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Speaker 4: getting it. So as a cultural study, it is the

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Speaker 4: most fascinating thing. And to answer your slideshow question, some

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Speaker 4: of them are like they're like a little thumbprint. They're

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Speaker 4: like a very individual snapshot of a person's mind. It's

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Speaker 4: like all confirmation bias obviously. Yeah, but you're also watching

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Speaker 4: them in your pret song lyrics where you're like, oh, no,

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Speaker 4: that just means any and you want it to mean.

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Speaker 4: That is a very vague lyric like no, it refers

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Speaker 4: to the one time that Carl bought a gold dress.

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Speaker 4: It was this day, here's the receipt. The song that

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Speaker 4: says jeans and Nikes. Carly was a Nike spokesperson in

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Speaker 4: twenty sixteen.

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Speaker 1: You understand how deep.

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Speaker 4: These women go.

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Speaker 2: Yeah, I love that. You You also have facts now that, like,

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Speaker 2: you know these models like endorsement.

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Speaker 4: Dudes, I shouldn't know any of this. That is what's

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Speaker 4: so insane. I shouldn't know any of it. I shouldn't

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Speaker 4: be thinking about it. It is like an addiction, like

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Speaker 4: I think, assume what people feel like when they gamble,

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Speaker 4: just like a rush. Yeah, it's like insane and it

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Speaker 4: doesn't make any sense, but you're like, let's keep doing it. Yeah,

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Speaker 4: anyway the game of their zubreddit 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 right, she lets

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Speaker 1: people go watch a concert that they can also watch

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Speaker 1: in person.

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Speaker 4: Yes, but I also just enjoy the fact that, like

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Speaker 4: she's just if she is gay, she's only gay for

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Speaker 4: exact copies of herself, which I think is a fascinating category.

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Speaker 4: It's like, no, she's not clear, she's queer for Taylor, right,

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Speaker 4: Like I just want to find mirror images of myself too. Fuck,

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Speaker 4: 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 Liberacci? Yes?

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Speaker 2: Oh wow, yes that is true. Yeah you said that's

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Speaker 2: so unequivocally Yes, that is true.

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Speaker 4: Well, because yeah, I mean, people bring that up a

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Speaker 4: lot as like a Liberaci thing there, like did you

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Speaker 4: know because it's so weird.

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Speaker 2: I wonder if, like I think it's an interesting exercise

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Speaker 2: just for anyone with an imagination to try and make

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Speaker 2: anything true about Taylor Swift, like using the same methodology.

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Speaker 2: We're like you Actually, if you think about it, all

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Speaker 2: of her lyrics are steeped in like black panther ideology.

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Speaker 4: To god, there's someone right now making that slideshow, right

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Speaker 4: right right, like foresure there's a Swift contingency that's like,

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Speaker 4: you don't understand what being a black panther is until

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Speaker 4: you listen to Red Taylor's version.

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Speaker 2: It's like Red is actually an anthem for the Crip

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Speaker 2: gang despite it being called red. And here in this thread,

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Speaker 2: I will, I will.

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

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Speaker 1: right and then oh, she's trying to reveal that through

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Speaker 1: her lyrics. I just made that up.

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Speaker 4: But that is again probably being built right now. Right

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Speaker 4: as you said it, people were like, this is true.

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

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Speaker 4: Okay, So say.

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Speaker 1: For Catia from the boot from the heel of the

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Speaker 1: boot of Italy.

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Speaker 4: Yeah, yeah, yeah, you know what I think is bullshitka

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Speaker 4: just generally all of it, but especially the kind that

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Speaker 4: comes from How would you say the boot of that

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Speaker 4: eat that specifically sucks balls?

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Speaker 2: Nothing? You've said that because you know I and I

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Speaker 2: get what you're trying to do. But unless you've actually

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Speaker 2: roamed the old central historic core of body, how could

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Speaker 2: you know? You know? And it sounds like you're just

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Speaker 2: grasping I things, But go on, yeah, just.

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Speaker 4: Stand by my statement. Okay, stand by that. I need

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Speaker 4: a statement.

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Speaker 1: Just sandwich that fucking sweats on my hands? Man?

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Speaker 4: Also, why does it not have a proper crust? Why

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Speaker 4: does it not have a proper crust?

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Speaker 2: I'm gonna get you know what I'm gonna do this week.

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Speaker 2: I'm gonna get you with me.

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Speaker 4: You got no crust right now.

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Speaker 2: I'm gonna get bro. I'm gonna to go to Italy

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Speaker 2: and get thrown out for being too I'm gonna go out. Sorry,

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Speaker 2: did you bake this? And what were you thinking with

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Speaker 2: this fukatcha you were making? Do you know what? Are

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Speaker 2: you guys bound by a certain recipe or are you

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Speaker 2: allowed to do make actual fokatcha? Just curious than you are.

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Speaker 4: You bound by wait put it.

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Speaker 2: Because because I'm I'm assuming they're a prisoner of food

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Speaker 2: in that place in the jail we call.

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Speaker 1: You can't think this is as good as body.

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Speaker 4: What happens is they put all of the smuggled mandolin

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Speaker 4: players and they can't leave.

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Speaker 2: That's mouth.

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Speaker 4: That's how fucked up.

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Speaker 2: I will play mandolin at your next event. We escape.

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Speaker 1: What what's something that you think is underrated?

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Speaker 4: Okay, Actually it's kind of crazy that this bread thing

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Speaker 4: came up, because legitimately before we ever started joking about Facaca,

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Speaker 4: I think son Gok, the Persian bread is so fucking underrated,

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Speaker 4: and no one ever gets it. People always think lavash,

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Speaker 4: but no, son doc is what you want. And there's

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Speaker 4: a place in Westwood because it's like a Persian area

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Speaker 4: that fresh bakes theirs and you get it and it's

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Speaker 4: still warm, and they put so many fucking sesame seeds

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Speaker 4: on it, and the black and white kinds, both seeds,

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Speaker 4: and it is so good, and you can cut it

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Speaker 4: into pieces because it's like three feet long or whatever,

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Speaker 4: and then you freeze those pieces if you want, then

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Speaker 4: you just pop them in the toaster and you always

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Speaker 4: have it and that bread I'm telling you, don't sleep

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Speaker 4: on it. It is so good.

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Speaker 2: Son gok, wow, how are we spellless? S A N

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Speaker 2: G A K soun gok there is Wait when did

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Speaker 2: you how did you intersect with that?

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Speaker 1: Wait?

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Speaker 2: What happened with?

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Speaker 4: The bakery's next door to where I work out, which

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Speaker 4: is terrible idea for.

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Speaker 2: Me right next door?

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Speaker 1: Yeah, I'm like.

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Speaker 4: Cool, workout. Can I have three feet of bread?

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Speaker 2: Absolutely?

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Speaker 4: But that's what happens, and it smells so good.

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Speaker 2: So I was like, just off the strength of like

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Speaker 2: the smell coming out of there, You're like like a

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Speaker 2: like a Looney Tunes cartoon. You're just like drawn in

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Speaker 2: through the lifted off your feet.

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Speaker 4: No, my trainer, the woman that runs the bakery, dropped

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Speaker 4: it off for him. It's just like she does that

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Speaker 4: because they're all friends. They're all friends in the little

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Speaker 4: strip and he was like, have some and I tried someone.

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Speaker 4: I was like, oh my god, You're like I'm in.

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Speaker 2: The middle of a super set right now. Really, it's like, yeah, yeah,

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Speaker 2: just have a couple of bites and then we'll go

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Speaker 2: back to your core work.

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Speaker 4: Okay, yeah, yeah, I'm like, just uh, just can I

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Speaker 4: jog towards the bread real quick. It's so fucking good,

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Speaker 4: all right, Like.

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Speaker 1: At a time they it's I would hazard that they

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Speaker 1: know exactly what they're doing right like that, at a

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Speaker 1: time when somebody is like burning up a bunch of

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Speaker 1: calories and carbs that they're coming by to hand deliver

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Speaker 1: yards of delicious bread, that's uh.

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Speaker 2: Them actually, And also like the moral licensing that happens,

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Speaker 2: like with your eating habits. When you're working out, you

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Speaker 2: can be like, I just worked out, so you know

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Speaker 2: what I can eat seven hundred x ys or zas exactly.

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Speaker 2: I get the logic. So credit to them for their

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Speaker 2: four dimensional thinking and marketing.

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Speaker 1: Mmm. I love an x wiser Elon Musk's new beer.

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Speaker 4: Called something real simple like bread. I don't know, sorry,

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Speaker 4: I'm not hopeful. I'm just gonna like shout out this place.

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Speaker 4: Then I'm like, I think it's called something so simple

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Speaker 4: that googling it will do nothing.

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Speaker 2: Right, right bread bakery?

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Speaker 1: Oh?

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Speaker 4: Really yeah, Google bread and it's like, no, that's not

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Speaker 4: gonna work about sofia. Oh oh, I know Google, which

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Speaker 4: is where I work out there.

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Speaker 2: Exactly if you want to catch her, that's where she'll be.

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Speaker 4: Oh, my god. Yeah, please, are you.

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Speaker 1: Sure you are? Let's let's we're deleting all. Yeah, they

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Speaker 1: can just do their own searches.

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Speaker 4: Just it's a beautiful mystery for you to.

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Speaker 2: Let your nose take you, let your nose take.

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Speaker 1: Just follow your nose as it lifts you off your

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Speaker 1: feet and pulls you into traffic. Did that ever happen

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Speaker 1: in one of the cartoons where somebody smells smelling pie

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Speaker 1: and then is immediately hit and killed by a truck.

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Speaker 4: Yeah, they do the thing where they think like they

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Speaker 4: do like them, I'm trying to portray what the cartoon

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Speaker 4: walk looks like when the cartoon character is like mesmerized

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Speaker 4: and they're like, you're just like marching forward like in

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Speaker 4: a way where they're not noticing anything, and I think

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Speaker 4: it's like they end up being like dodging cars or

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Speaker 4: cars dodging.

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Speaker 2: That yeah, Frogger style, just narrowly missing death, although I

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Speaker 2: love every time they died immediately you're a harp angel

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Speaker 2: who just goes out of your body.

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Speaker 4: Just conditioned to believe follows that pie.

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Speaker 1: I have to that would be your first move. Yeah.

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Speaker 4: It's a good cartoon and it knows fucking the power

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Speaker 4: of three. Yeah, that goes will also be murdered, and

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Speaker 4: a tinier goes playing a mandolin. See, and there we go.

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Speaker 4: Now we just tied it together. That's a harald.

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Speaker 1: You've just witnessed. You've just experienced a harold.

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Speaker 4: Folks, you've been haralded, bitch.

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Speaker 1: Been harolded, unheralded, harold like angels. Anyways, we're gonna move on.

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Speaker 1: Let's take a quick break. We'll come back, and we're

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Speaker 1: back and uh, we won't be playing the drake drop

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Speaker 1: for this.

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Speaker 3: No.

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Speaker 1: Sixty one protesters have been indicted for violating Georgia's Rico

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Speaker 1: Act for protesting the building of a mass military installation.

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Speaker 4: Yeah, uh huh a lot clear where the bad guys are, right, Yeah,

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Speaker 4: oh of course the protesters, yes.

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Speaker 2: Of course.

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Speaker 4: How dare you?

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Speaker 2: They're getting hit with charges like domestic terror for like

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Speaker 2: trying to disable like machines or like you know, they're

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Speaker 2: like they were throwing molotov cocktails and all this other stuff.

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Speaker 2: Money laundering because they were setting up bail funds. They're

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Speaker 2: trying to like they're going after these people in the

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Speaker 2: most fucked up way. The charges are being pursued by

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Speaker 2: the state's Attorney General. You know Republican Chris Carr, And yeah,

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Speaker 2: this is like a some multifaceted movement of people that

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Speaker 2: realize that building these police training facilities are just merely

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Speaker 2: a terrible escalation of the militarized like police state that

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Speaker 2: we're experiencing across the country, and you know, antithetical to

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Speaker 2: lowering instances of police brutality. When you're like, here's like

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Speaker 2: an here's a whole place where you can train on

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Speaker 2: how to suppress people's you know, democratic rights and things

394
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Speaker 2: like that, it's like.

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Speaker 1: The police Brutality Training Complex.

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Speaker 2: Oh yeah, because they want it. They want to be like,

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Speaker 2: we want them to have the feeling of what it's

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Speaker 2: like to like, you know, kettle people in city streets

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Speaker 2: or neighborhoods so they can do it more efficiently to

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Speaker 2: like round up people. And you know, the Attorney General

401
00:22:16,920 --> 00:22:20,800
Speaker 2: and governor have been just steadily screaming about how like

402
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Speaker 2: this this whole thing is actually the work of like

403
00:22:24,000 --> 00:22:27,240
Speaker 2: it's like an organized criminals. This is a criminal organization

404
00:22:27,359 --> 00:22:30,720
Speaker 2: and enterprise to sort of create this rico narrative to

405
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Speaker 2: go after protesters. And if you want to really understand

406
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Speaker 2: how cynical and racist this shit is if you just

407
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Speaker 2: look at the date listed on the indictments for like

408
00:22:38,560 --> 00:22:41,239
Speaker 2: they like they're putting May twenty fifth, twenty twenty as

409
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Speaker 2: sort of like the beginning of like this shit going down,

410
00:22:43,280 --> 00:22:46,639
Speaker 2: which is the day George Floyd was murdered. Okay, wow,

411
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Speaker 2: So they want to conflate this event with all of

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Speaker 2: the scary BLM protests to say, like, you see what's

413
00:22:52,640 --> 00:22:55,440
Speaker 2: going on, folks, it's just this like large movement to

414
00:22:55,600 --> 00:22:58,400
Speaker 2: so discord and chaos when all we're trying to do

415
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Speaker 2: is make people safe. One of the days in Atlanta,

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Speaker 2: Sherry Boston said that her office would withdraw withdraw from

417
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Speaker 2: criminal cases involving the cop involving Cop City. But it's

418
00:23:08,040 --> 00:23:09,879
Speaker 2: this is some scary shit. I mean, like these are

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Speaker 2: people exercising their First Amendment rights and the state and

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Speaker 2: city of Atlanta have just made the whole this like

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Speaker 2: into a campaign of like democratic suppression. You know, like

422
00:23:18,880 --> 00:23:22,399
Speaker 2: there's officials they blocked a referendum on Cop City. They

423
00:23:22,440 --> 00:23:25,960
Speaker 2: ignored all the pleas from the public, all the public comment.

424
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Speaker 2: You're like, we do not want this, or other people

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Speaker 2: in like Dacab County who are like this is near

426
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Speaker 2: where I live. This is I do not want this.

427
00:23:32,359 --> 00:23:34,919
Speaker 2: I do not want to see the forest raised so

428
00:23:34,960 --> 00:23:39,320
Speaker 2: you can create this fucked up training facility. Then there

429
00:23:39,320 --> 00:23:42,200
Speaker 2: were people who were like, like local election board members

430
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Speaker 2: were removed for opposing Cop City, and now we're charging

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Speaker 2: protesters with domestic terrorism under the Rico Act. Yeah.

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Speaker 4: Also, I was gonna say that you should have so

433
00:23:52,520 --> 00:23:56,240
Speaker 4: much shame that you're using the fucking Rico Act, which

434
00:23:56,400 --> 00:23:58,520
Speaker 4: was used to bring down copone.

435
00:23:59,000 --> 00:24:01,040
Speaker 3: Yeah, right on these people.

436
00:24:01,480 --> 00:24:05,600
Speaker 4: Yeah, like just the fact, like how do you even

437
00:24:05,640 --> 00:24:09,240
Speaker 4: put that in your mind together as even remotely in

438
00:24:09,280 --> 00:24:13,840
Speaker 4: the same camp. Well, it's just so fucking yeah. I

439
00:24:13,880 --> 00:24:18,320
Speaker 4: mean I always am shook and like speechless because like

440
00:24:19,080 --> 00:24:21,320
Speaker 4: I expect people at some point to have shame, and

441
00:24:21,359 --> 00:24:23,199
Speaker 4: then I'm like, no, but they don't like what am

442
00:24:23,240 --> 00:24:27,520
Speaker 4: I talking about? They're heartless and yeah, driven completely by

443
00:24:28,600 --> 00:24:31,159
Speaker 4: money and power. So why am I so shocked? But

444
00:24:31,280 --> 00:24:32,880
Speaker 4: it's like every fucking time, you know.

445
00:24:33,160 --> 00:24:36,040
Speaker 2: And to try and again scare people from wanting to

446
00:24:36,080 --> 00:24:39,719
Speaker 2: put checks and balances, you know, on our system, especially

447
00:24:39,720 --> 00:24:42,000
Speaker 2: as it relates to law enforcement. It's like, oh, you

448
00:24:42,040 --> 00:24:44,960
Speaker 2: want to protest this, watch us go scorched earth on

449
00:24:45,000 --> 00:24:48,280
Speaker 2: your ass. Meanwhile, we're like, yeah, these people who like

450
00:24:48,400 --> 00:24:50,760
Speaker 2: storm the you know, like we have like people capital

451
00:24:50,760 --> 00:24:52,520
Speaker 2: protesters where you see judge and be like, well, you know,

452
00:24:52,760 --> 00:24:54,400
Speaker 2: I kind of want to go softer am I sentencing

453
00:24:54,440 --> 00:24:58,280
Speaker 2: here or there where you have a very focused AG's

454
00:24:58,359 --> 00:25:00,159
Speaker 2: office in Georgia being like yeah, you know, so what

455
00:25:00,280 --> 00:25:02,879
Speaker 2: let's go, let's go rego on them and try and

456
00:25:02,920 --> 00:25:04,359
Speaker 2: make an example of these people.

457
00:25:04,640 --> 00:25:08,040
Speaker 4: Also, sorry, I was just gonna say I was legally

458
00:25:08,160 --> 00:25:13,879
Speaker 4: arrested for protesting in college, and yeah, illegally arrested for

459
00:25:13,920 --> 00:25:18,040
Speaker 4: protesting in college. And I was part of a class

460
00:25:18,080 --> 00:25:23,000
Speaker 4: action lawsuit against the Metropolitan Police Department in DC and

461
00:25:23,040 --> 00:25:28,600
Speaker 4: we won, and like it was one of the most

462
00:25:28,760 --> 00:25:32,080
Speaker 4: kind of fucked up in traumatic things being detained the

463
00:25:32,160 --> 00:25:34,720
Speaker 4: way I was. I also wasn't a citizen yet. I

464
00:25:34,840 --> 00:25:37,960
Speaker 4: was just a resident alien and like they you know,

465
00:25:38,080 --> 00:25:41,120
Speaker 4: took all of my paperwork, my resident alien card, all

466
00:25:41,119 --> 00:25:43,639
Speaker 4: my shit, Like when the cops betonted off of me,

467
00:25:43,680 --> 00:25:47,840
Speaker 4: I just never got it back. But the amount of

468
00:25:47,880 --> 00:25:52,439
Speaker 4: time and like effort and everything it takes to even

469
00:25:53,560 --> 00:25:58,920
Speaker 4: go through a thing where you would then sue, like

470
00:25:59,400 --> 00:26:01,560
Speaker 4: we ended up changing the law, but the number of

471
00:26:01,640 --> 00:26:05,159
Speaker 4: years that it takes, like and the way that they

472
00:26:05,200 --> 00:26:09,400
Speaker 4: treated us. You know, I was zip tied right hand

473
00:26:09,480 --> 00:26:12,480
Speaker 4: to left foot for like over twelve hours, you know,

474
00:26:13,080 --> 00:26:17,159
Speaker 4: the way they fucking like treated us in jail whatever.

475
00:26:17,200 --> 00:26:22,000
Speaker 4: It just it was super fucked up. But the fact

476
00:26:22,000 --> 00:26:28,760
Speaker 4: that they did that Friday morning, really early before an

477
00:26:28,920 --> 00:26:33,320
Speaker 4: entire weekend of protests, that's pretty much the same tactic here.

478
00:26:33,400 --> 00:26:37,240
Speaker 4: It's like they try to go hard early to discourage protesting,

479
00:26:37,800 --> 00:26:39,680
Speaker 4: you know what I'm saying, Like in the future, and

480
00:26:40,400 --> 00:26:45,280
Speaker 4: it's the same tactics that Bush used because it was

481
00:26:46,480 --> 00:26:50,720
Speaker 4: they were training in riot year cops for months before this,

482
00:26:51,800 --> 00:26:54,399
Speaker 4: Like it was all they had buses numbered ready to

483
00:26:54,440 --> 00:26:56,359
Speaker 4: go because they were like, we're taking hundreds of people

484
00:26:56,440 --> 00:26:58,399
Speaker 4: off the street. So then for the rest of the

485
00:26:58,400 --> 00:26:59,760
Speaker 4: weekend there's no protests.

486
00:27:00,080 --> 00:27:00,280
Speaker 2: Yeah.

487
00:27:00,320 --> 00:27:03,720
Speaker 4: So it's like it just like it makes me so

488
00:27:03,880 --> 00:27:07,639
Speaker 4: fucking pissed because these people are gonna get fucked on

489
00:27:07,680 --> 00:27:10,560
Speaker 4: a much much larger scale. What I'm talking about is

490
00:27:10,640 --> 00:27:14,120
Speaker 4: child's play. And it's still was hard to get any

491
00:27:14,160 --> 00:27:18,640
Speaker 4: sort of justice or change the law or have anything

492
00:27:18,720 --> 00:27:21,800
Speaker 4: be different. And I feel like the number one thing

493
00:27:21,840 --> 00:27:24,760
Speaker 4: they tell you when you protest, right, They're like, hey,

494
00:27:24,800 --> 00:27:27,199
Speaker 4: you know, you guys are thugs. You don't use the

495
00:27:27,320 --> 00:27:30,720
Speaker 4: system correctly, Like why don't you use the lawful system?

496
00:27:30,960 --> 00:27:32,840
Speaker 2: And that is what I did in this instance too.

497
00:27:33,440 --> 00:27:35,600
Speaker 4: Yeah, and it's like, okay, well I'll tell you I

498
00:27:35,720 --> 00:27:39,280
Speaker 4: did the actual lawsuit and the lawful thing, and it

499
00:27:39,359 --> 00:27:43,679
Speaker 4: is that is not you think that that's justice or

500
00:27:43,680 --> 00:27:46,840
Speaker 4: that that's really what people should be doing, or that

501
00:27:46,840 --> 00:27:50,639
Speaker 4: that fixes anything. Like obviously, if you are thinking that

502
00:27:50,680 --> 00:27:52,919
Speaker 4: there's the right and wrong way to protest, you also

503
00:27:52,920 --> 00:27:55,160
Speaker 4: are going to think that there is never the right way.

504
00:27:55,480 --> 00:27:59,680
Speaker 2: Yeah, people went to those city council meetings, they gathered signatures,

505
00:27:59,720 --> 00:28:02,960
Speaker 2: they did every they tried it every single way. But again,

506
00:28:03,000 --> 00:28:06,919
Speaker 2: when you have municipality and this bureaucracy, that's just intent,

507
00:28:07,040 --> 00:28:10,199
Speaker 2: like just so intent on making this installation happen no

508
00:28:10,280 --> 00:28:13,400
Speaker 2: matter what, you get these kinds of fucked up measures.

509
00:28:13,480 --> 00:28:16,840
Speaker 2: And yeah, I'd hate to bring up private equity.

510
00:28:16,760 --> 00:28:19,920
Speaker 5: No, don't do it, but it can't have true of

511
00:28:19,960 --> 00:28:24,120
Speaker 5: the biggest corporate backers of cop City are Rourke Capital,

512
00:28:24,160 --> 00:28:27,080
Speaker 5: which is a private equity firm that owns Inspire brands,

513
00:28:27,119 --> 00:28:31,480
Speaker 5: you know, Duncan, RBS, Baskin, Robbins, Buffalo Wild, wings, et cetera.

514
00:28:31,920 --> 00:28:34,359
Speaker 2: Their CEO sits on the board of trustees for the

515
00:28:34,400 --> 00:28:38,000
Speaker 2: Atlanta Police Foundation, and they're raising sixty million dollars from

516
00:28:38,040 --> 00:28:41,200
Speaker 2: corporate donors to build this place. Like, so there's one

517
00:28:41,280 --> 00:28:44,440
Speaker 2: part of it. The other is Silver Lake Management, which

518
00:28:44,440 --> 00:28:47,680
Speaker 2: sounds like a cool maybe talent agency that represents bands

519
00:28:47,680 --> 00:28:50,280
Speaker 2: from the East side of the But no, no, no.

520
00:28:50,320 --> 00:28:55,360
Speaker 4: It sounds like a like a like a land lording agency, right,

521
00:28:55,440 --> 00:28:57,600
Speaker 4: like you rit your apartment from in.

522
00:28:57,640 --> 00:29:01,080
Speaker 2: Silver Lake, right exactly. Silver Lake Management they actually are

523
00:29:01,120 --> 00:29:03,840
Speaker 2: tech focused private equity firm and they have a huge

524
00:29:03,880 --> 00:29:08,640
Speaker 2: steak in Motorola Solutions aka the company that designed the

525
00:29:08,680 --> 00:29:13,480
Speaker 2: surveillance system to make Atlanta the most surveiled city in

526
00:29:13,560 --> 00:29:17,440
Speaker 2: the United States. And they also develop really cool tools

527
00:29:17,440 --> 00:29:21,560
Speaker 2: for use in prisons, the US Mexico border, and surprise, surprise,

528
00:29:21,720 --> 00:29:24,440
Speaker 2: the West Bank. Because we talk about there's this conversation

529
00:29:24,520 --> 00:29:27,800
Speaker 2: of using these sort of like crowd control technologies. They

530
00:29:27,840 --> 00:29:30,880
Speaker 2: start off they use them like abroad, and the West

531
00:29:30,920 --> 00:29:33,200
Speaker 2: Bank fine tune them, and then we end up seeing

532
00:29:33,240 --> 00:29:36,480
Speaker 2: them boomerang onto our own shores, used against our people

533
00:29:36,480 --> 00:29:39,760
Speaker 2: who are exercising their First Amendment rights. So yeah, it's

534
00:29:39,760 --> 00:29:42,440
Speaker 2: wild to think that the ratio of cameras to people

535
00:29:42,440 --> 00:29:45,280
Speaker 2: in Atlanta, it's forty almost forty nine cameras per thousand

536
00:29:45,280 --> 00:29:48,000
Speaker 2: people in Atlanta. That's the highest. It's more than DC,

537
00:29:48,440 --> 00:29:51,000
Speaker 2: it's more than New York City. And you're like, huh huh.

538
00:29:51,480 --> 00:29:54,040
Speaker 1: It also feels like we're seeing like a FUCOS boomerang

539
00:29:54,120 --> 00:29:58,240
Speaker 1: on like the legal president of Like, Okay, we cheered

540
00:29:58,280 --> 00:30:01,800
Speaker 1: when they used this against Trump, and then they're like, okay,

541
00:30:01,880 --> 00:30:04,040
Speaker 1: so you're good, but watch this then, and then watch this.

542
00:30:04,120 --> 00:30:07,240
Speaker 1: We're going to use it against your ability to protest

543
00:30:07,360 --> 00:30:10,320
Speaker 1: against a fucking military installation.

544
00:30:10,840 --> 00:30:12,800
Speaker 4: It's just amazing. These are the people that are like,

545
00:30:12,960 --> 00:30:17,320
Speaker 4: I'm sorry, the Second Amendment is everything. I'm like, okay,

546
00:30:17,360 --> 00:30:21,160
Speaker 4: well what about that other amendment? Yeah, you know, no

547
00:30:21,160 --> 00:30:25,400
Speaker 4: one that protects the right to protest, which you should

548
00:30:25,400 --> 00:30:28,640
Speaker 4: be into because you're so into the law of the

549
00:30:28,760 --> 00:30:33,000
Speaker 4: land right now. No, that amendment, I guess is bullshit.

550
00:30:33,160 --> 00:30:35,120
Speaker 4: The first Amendment. We just don't look at that one.

551
00:30:35,280 --> 00:30:37,400
Speaker 4: That one's just like what epps Yeah.

552
00:30:37,200 --> 00:30:39,760
Speaker 2: And I mean then you look at like even protesters

553
00:30:39,760 --> 00:30:41,880
Speaker 2: that were killed by the police over the court like

554
00:30:41,920 --> 00:30:45,400
Speaker 2: it's this is it's it's it's mind blowing. And yeah,

555
00:30:45,520 --> 00:30:49,280
Speaker 2: now again it's like the Republican Attorney General is like, yeah,

556
00:30:49,360 --> 00:30:51,560
Speaker 2: watch this, I'll use the same grain jury that got

557
00:30:51,560 --> 00:30:54,840
Speaker 2: those charges for Trump and we'll use it for this now. Yeah.

558
00:30:54,880 --> 00:30:57,880
Speaker 1: So I think there's a really valid point, Sophia, the

559
00:30:58,120 --> 00:31:02,720
Speaker 1: like they're you, as we see more fear from the wealthy,

560
00:31:02,840 --> 00:31:07,800
Speaker 1: as we see the billionaire owner of Cardier lose more

561
00:31:07,880 --> 00:31:12,000
Speaker 1: sleep over the idea that like, eventually the people are

562
00:31:12,040 --> 00:31:15,800
Speaker 1: going to be pissed that we're billionaires, right, like Youah,

563
00:31:15,880 --> 00:31:18,760
Speaker 1: the more we see that, the more we're going to

564
00:31:18,800 --> 00:31:21,160
Speaker 1: see things like this where they're trying to make an

565
00:31:21,200 --> 00:31:26,200
Speaker 1: example of people protesting. Yeah, I think it's imperative that

566
00:31:26,240 --> 00:31:30,800
Speaker 1: we keep attention on these people and like, you know,

567
00:31:31,000 --> 00:31:34,800
Speaker 1: understand that these are people who are working on our behalf,

568
00:31:35,120 --> 00:31:37,680
Speaker 1: even though I think the mainstream media narrative is not

569
00:31:37,720 --> 00:31:40,000
Speaker 1: always going to be very favorable to the to the

570
00:31:40,040 --> 00:31:41,240
Speaker 1: protesters right.

571
00:31:41,240 --> 00:31:44,560
Speaker 2: Now, and hardly would you hear a thing where it's like, wow,

572
00:31:45,360 --> 00:31:48,760
Speaker 2: they're they're really I mean again, everything is always tinged

573
00:31:48,800 --> 00:31:51,920
Speaker 2: with slightly pro cop bias, right, so they just want

574
00:31:51,960 --> 00:31:53,440
Speaker 2: to make it look like it's a bunch of like

575
00:31:53,560 --> 00:31:56,160
Speaker 2: hippies who want to save the trees in the forest

576
00:31:56,280 --> 00:31:58,280
Speaker 2: when a lot of people like this is again, we're

577
00:31:58,360 --> 00:32:02,160
Speaker 2: ramping up our mill terrized police state in a time

578
00:32:02,240 --> 00:32:05,680
Speaker 2: when all they've proven, all we've seen from our law

579
00:32:05,760 --> 00:32:08,800
Speaker 2: enforcement system is that it doesn't work, doesn't work, it

580
00:32:08,800 --> 00:32:11,360
Speaker 2: doesn't prevent crime. All it does is pile up more

581
00:32:11,480 --> 00:32:15,960
Speaker 2: victims of police brutality. But yeah, these are the stakes

582
00:32:16,040 --> 00:32:16,360
Speaker 2: right now.

583
00:32:16,600 --> 00:32:16,800
Speaker 3: Yeah.

584
00:32:16,840 --> 00:32:16,920
Speaker 1: No.

585
00:32:17,000 --> 00:32:20,920
Speaker 4: I think also these strategies, you know, always repeat. It's

586
00:32:21,000 --> 00:32:26,760
Speaker 4: like every single time protesting happens, the way that they

587
00:32:26,800 --> 00:32:30,200
Speaker 4: try to quell it is always tactics that they've used before.

588
00:32:30,880 --> 00:32:34,360
Speaker 4: And I think one of those things is, like that's

589
00:32:34,360 --> 00:32:36,880
Speaker 4: great about the internet is if you go and protest.

590
00:32:36,960 --> 00:32:38,800
Speaker 4: I just want to make that clear to everybody that like,

591
00:32:38,880 --> 00:32:42,480
Speaker 4: you absolutely should if you can, but you should absolutely

592
00:32:42,840 --> 00:32:46,840
Speaker 4: know going out what you should do and not do.

593
00:32:47,080 --> 00:32:50,000
Speaker 4: Have the you know, National Lawyer's Guild number on you,

594
00:32:50,080 --> 00:32:53,200
Speaker 4: like all of the stuff that you absolutely need to

595
00:32:53,280 --> 00:32:56,440
Speaker 4: know you can look up. And it's just I think

596
00:32:56,560 --> 00:33:00,360
Speaker 4: really really important because like a privilege fucking white and

597
00:33:00,440 --> 00:33:04,560
Speaker 4: I was still like an immigrant, which again scared me

598
00:33:04,640 --> 00:33:06,880
Speaker 4: because you know, they charged me, they try to charge

599
00:33:06,880 --> 00:33:10,480
Speaker 4: me with rioting because we asked for food and writing

600
00:33:10,560 --> 00:33:12,240
Speaker 4: is a felony and if that happened, I would have

601
00:33:12,240 --> 00:33:17,719
Speaker 4: been super fucked And like again, privileged white woman still

602
00:33:18,280 --> 00:33:22,040
Speaker 4: was really fucked up experience. And you just need to

603
00:33:22,120 --> 00:33:24,360
Speaker 4: know what you're going in and you need to have

604
00:33:24,400 --> 00:33:27,760
Speaker 4: friends on the outside when you're protesting, so that you

605
00:33:27,800 --> 00:33:31,360
Speaker 4: know they know what the deal is. You have a plan,

606
00:33:32,120 --> 00:33:35,280
Speaker 4: just like, be careful when you do it. That's all.

607
00:33:35,760 --> 00:33:37,840
Speaker 2: Yeah, yeah, because they ain't playing fair out here.

608
00:33:38,080 --> 00:33:40,440
Speaker 1: No, no, no, they're not all right. If you guys

609
00:33:40,440 --> 00:33:42,600
Speaker 1: heard the game six Degrees with Kevin began.

610
00:33:42,720 --> 00:33:50,280
Speaker 2: Sick pivot, Oh yeah, have you seen this? You guys

611
00:33:50,320 --> 00:33:50,760
Speaker 2: heard about this?

612
00:33:50,800 --> 00:33:51,120
Speaker 3: You see this?

613
00:33:52,200 --> 00:33:55,160
Speaker 1: Oh yeah, wait, just got our guest last last time

614
00:33:55,320 --> 00:33:58,560
Speaker 1: when Sofia was almost like the thing the thing that

615
00:33:58,680 --> 00:34:02,560
Speaker 1: is underrated about your podcast is the hurdling changes of peace.

616
00:34:03,480 --> 00:34:07,720
Speaker 1: Oh yeah, we got to hit them all. This guys

617
00:34:07,760 --> 00:34:13,000
Speaker 1: comes at you quick it does you know? Does your

618
00:34:13,040 --> 00:34:18,320
Speaker 1: newsfeed stop to coddle you and think about your feelings?

619
00:34:18,760 --> 00:34:21,000
Speaker 2: Don't you get a mixture of Apple alerts that are

620
00:34:21,040 --> 00:34:23,920
Speaker 2: like bummer news? And also it's like highly Jenner and

621
00:34:24,120 --> 00:34:25,319
Speaker 2: Timothy Shallow may.

622
00:34:26,719 --> 00:34:31,280
Speaker 1: More the Timothy shallow May relationship updates than I am.

623
00:34:31,640 --> 00:34:33,239
Speaker 4: I mean I just go on the internet. I'm like,

624
00:34:33,280 --> 00:34:37,919
Speaker 4: wowious joke about bussy and then underneath that, like we

625
00:34:38,239 --> 00:34:43,800
Speaker 4: have created another monster voltron of cops. I'm like, that's

626
00:34:43,840 --> 00:34:44,680
Speaker 4: live and.

627
00:34:44,640 --> 00:34:47,440
Speaker 1: Then iron is it good for your city?

628
00:34:48,000 --> 00:34:48,239
Speaker 2: Yeah?

629
00:34:49,560 --> 00:34:55,040
Speaker 1: Okay, cool, thank you.

630
00:34:55,160 --> 00:34:57,280
Speaker 4: Oh yeah, your sexy dark voice is gone.

631
00:34:57,440 --> 00:35:00,320
Speaker 1: I know, my sexy boy smiles. I had the deepest

632
00:35:00,400 --> 00:35:02,719
Speaker 1: voice that I've ever had when you were gone, when

633
00:35:02,760 --> 00:35:07,360
Speaker 1: you were sick. Yeah, gave me like crazy deep voice.

634
00:35:09,239 --> 00:35:11,320
Speaker 4: Yes, I mean not that cool.

635
00:35:11,440 --> 00:35:15,839
Speaker 2: It was still like me. But people or like what's

636
00:35:15,880 --> 00:35:18,680
Speaker 2: that what's the opposite of helium? That that gas? Or

637
00:35:18,760 --> 00:35:21,920
Speaker 2: like you can like yeah, before the super loose that's

638
00:35:22,000 --> 00:35:27,640
Speaker 2: yeah how I felt.

639
00:35:26,480 --> 00:35:29,839
Speaker 4: Especially but everybody loved it. People were csmerized. You could

640
00:35:29,840 --> 00:35:35,040
Speaker 4: tell a that was we're falling for him the fluoride.

641
00:35:35,120 --> 00:35:35,759
Speaker 2: That's what it is.

642
00:35:35,800 --> 00:35:45,640
Speaker 4: They victor like justin everybody falling over it. All.

643
00:35:45,760 --> 00:35:49,799
Speaker 1: Right, So there's a new study from six different nations.

644
00:35:49,920 --> 00:35:52,240
Speaker 1: This is just this is like one of those studies

645
00:35:52,239 --> 00:35:54,960
Speaker 1: where it's like, Wow, you did everything so well to

646
00:35:55,080 --> 00:35:58,719
Speaker 1: like just put this into a press release, and I'm

647
00:35:58,719 --> 00:36:01,800
Speaker 1: not mad at it. You did did a good job. Fine,

648
00:36:02,280 --> 00:36:06,880
Speaker 1: you've gotten my attention. But basically the whole thing they're like,

649
00:36:06,960 --> 00:36:10,160
Speaker 1: the thing about six degrees of ken bacon also happens

650
00:36:10,200 --> 00:36:13,520
Speaker 1: in real life where there's like six degrees of separation,

651
00:36:14,280 --> 00:36:19,600
Speaker 1: And they kind of looked at the math of how

652
00:36:19,920 --> 00:36:26,560
Speaker 1: humans form our friend groups and basically we are constantly evaluating.

653
00:36:26,640 --> 00:36:31,799
Speaker 1: It's very very much sounds like, you know, a scientist

654
00:36:32,280 --> 00:36:36,640
Speaker 1: who has not spent a lot of time around other humans,

655
00:36:36,760 --> 00:36:41,000
Speaker 1: like observing humans because they're like human is constantly evaluating

656
00:36:41,520 --> 00:36:45,400
Speaker 1: the cost benefit of keeping the old relationship alive or

657
00:36:45,480 --> 00:36:46,440
Speaker 1: making a new friend.

658
00:36:47,120 --> 00:36:50,760
Speaker 4: And he did the study because he wanted a.

659
00:36:50,640 --> 00:36:54,080
Speaker 1: Friend totally, why do we do anything right? And I

660
00:36:54,120 --> 00:36:56,920
Speaker 1: probably read it because of that. But the study like

661
00:36:56,960 --> 00:36:59,759
Speaker 1: spends a lot of time basically explaining why people have

662
00:37:00,120 --> 00:37:04,080
Speaker 1: and they're just very confused about that.

663
00:37:04,440 --> 00:37:07,680
Speaker 4: I think that's pretty sweet of that article, I know,

664
00:37:07,800 --> 00:37:09,080
Speaker 4: isn't it.

665
00:37:09,160 --> 00:37:13,319
Speaker 1: I kind of love it, But interesting details. The Nash equilibrium,

666
00:37:13,400 --> 00:37:15,960
Speaker 1: like the point at which people have no further incentive

667
00:37:16,040 --> 00:37:19,280
Speaker 1: to go incentive to go outward with their friend making

668
00:37:19,920 --> 00:37:23,880
Speaker 1: or inward with their friend pruning, usually lands at a

669
00:37:23,920 --> 00:37:28,080
Speaker 1: place that averages out to six degrees of separation from

670
00:37:28,560 --> 00:37:32,759
Speaker 1: like everyone else on the planet, which is wild, but

671
00:37:32,800 --> 00:37:35,200
Speaker 1: that that's the I mean, it makes sense. Like I

672
00:37:35,239 --> 00:37:37,320
Speaker 1: assumed it was going to be something about like network

673
00:37:37,360 --> 00:37:40,960
Speaker 1: dynamics and like how you know, over over time, you're

674
00:37:41,000 --> 00:37:44,120
Speaker 1: like sort of compounding the number of like just you know,

675
00:37:44,200 --> 00:37:48,520
Speaker 1: three degrees of separation away. You've like compounded the number

676
00:37:48,760 --> 00:37:53,000
Speaker 1: of people that everyone knows. But it's also about how

677
00:37:53,480 --> 00:37:57,239
Speaker 1: like the sizes of those groups that each person is

678
00:37:57,239 --> 00:38:01,120
Speaker 1: connected to well different, you know, work out to an

679
00:38:01,120 --> 00:38:05,680
Speaker 1: average of about an average of about six huh.

680
00:38:06,320 --> 00:38:13,640
Speaker 4: How so, but that wouldn't have been true pre Internet.

681
00:38:14,280 --> 00:38:16,359
Speaker 1: I think it has been true. That's the thing.

682
00:38:16,560 --> 00:38:20,000
Speaker 2: Like I think it's pre Internet, right that yeah, ye existed,

683
00:38:20,280 --> 00:38:20,839
Speaker 2: So like.

684
00:38:20,840 --> 00:38:23,839
Speaker 4: No, no, no, I just mean, oh, I just mean,

685
00:38:23,880 --> 00:38:26,040
Speaker 4: do you really? I guess I was thinking, like it's

686
00:38:26,080 --> 00:38:28,879
Speaker 4: easy for me to think of being six degrees away

687
00:38:28,920 --> 00:38:31,680
Speaker 4: from anyone on the planet, like with the Internet, and

688
00:38:31,719 --> 00:38:33,279
Speaker 4: like also just like oh, you have a friend that

689
00:38:33,320 --> 00:38:35,520
Speaker 4: lives in this country and blah blah blah blah blah. Right,

690
00:38:35,680 --> 00:38:36,520
Speaker 4: but I'm thinking.

691
00:38:36,640 --> 00:38:39,680
Speaker 1: Track, yeah, yeah, right, right, right, So I didn't know

692
00:38:39,760 --> 00:38:44,200
Speaker 1: the origin of the experiment or of the idea of

693
00:38:44,239 --> 00:38:47,399
Speaker 1: six degrees. It's actually Milgram, you know, the guy who

694
00:38:47,440 --> 00:38:51,320
Speaker 1: like gets the experiment. Yeah, it's the famous shocks experiment

695
00:38:51,760 --> 00:38:56,080
Speaker 1: where people come into a lab and it was based

696
00:38:56,080 --> 00:39:02,440
Speaker 1: on like the trials of Nazi prison camp guards at

697
00:39:02,520 --> 00:39:07,600
Speaker 1: the Hug and how they were like, we were just

698
00:39:07,680 --> 00:39:10,360
Speaker 1: following orders, and so he did this experiment show that

699
00:39:10,400 --> 00:39:16,000
Speaker 1: people will continuously shock people whether or not. So basically

700
00:39:16,080 --> 00:39:18,440
Speaker 1: the people weren't actually being shocked, but a person a

701
00:39:18,440 --> 00:39:21,520
Speaker 1: white lab coat is like, keep keep administrating.

702
00:39:21,640 --> 00:39:24,239
Speaker 4: Basically he wouldn't see the person the person who was

703
00:39:24,280 --> 00:39:29,759
Speaker 4: administering the shocks quote unquote, would hear someone's sounds of pain, yeah,

704
00:39:30,080 --> 00:39:32,279
Speaker 4: but that person was acting, but the person who was

705
00:39:32,680 --> 00:39:36,000
Speaker 4: shocking them didn't know they were acting, right. So then

706
00:39:36,080 --> 00:39:39,200
Speaker 4: what later churned out in addition to the result of like,

707
00:39:39,520 --> 00:39:42,000
Speaker 4: oh yeah, people will straight up just follow orders because

708
00:39:42,000 --> 00:39:44,040
Speaker 4: a guy I know lab coat was like keep shocking.

709
00:39:44,640 --> 00:39:46,360
Speaker 4: But the other thing that came out of it is

710
00:39:46,400 --> 00:39:48,840
Speaker 4: a lot of ethics stuff for how you run studies,

711
00:39:49,200 --> 00:39:53,160
Speaker 4: because the people that were fake shocking, once they found

712
00:39:53,200 --> 00:39:56,240
Speaker 4: out it was fake, they were like super fucking traumatized.

713
00:39:56,480 --> 00:39:58,400
Speaker 1: Yeah, and not really.

714
00:39:59,520 --> 00:40:02,320
Speaker 4: My life knowing that essentially you used me to prove

715
00:40:02,440 --> 00:40:03,800
Speaker 4: that I could be a Nazi.

716
00:40:03,920 --> 00:40:06,799
Speaker 1: A Nazi, go lay down, you know what.

717
00:40:06,800 --> 00:40:09,920
Speaker 2: I just fallen orders, man, you just fallen orders.

718
00:40:09,920 --> 00:40:10,080
Speaker 4: You know.

719
00:40:10,200 --> 00:40:12,440
Speaker 1: Yeah. And there are other things about the design of

720
00:40:12,480 --> 00:40:15,680
Speaker 1: that experiment and like how so like some people might

721
00:40:15,719 --> 00:40:19,920
Speaker 1: have really known that they were acting and who knows.

722
00:40:19,920 --> 00:40:23,000
Speaker 1: But the other big experiment he did that I was

723
00:40:23,040 --> 00:40:26,960
Speaker 1: not as familiar with was they basically tried to connect

724
00:40:27,120 --> 00:40:29,879
Speaker 1: two people in as few steps as possible, just by

725
00:40:29,920 --> 00:40:34,680
Speaker 1: like sending out this brown paper package and being like, Hey,

726
00:40:34,880 --> 00:40:39,160
Speaker 1: we're trying to get this to a divinity student in Boston.

727
00:40:39,760 --> 00:40:44,440
Speaker 1: You are a farmer in Iowa that we've randomly selected

728
00:40:44,440 --> 00:40:48,759
Speaker 1: from the entire population of the US, like go. And

729
00:40:48,920 --> 00:40:51,680
Speaker 1: what they found they were like, oh, well, I know

730
00:40:51,719 --> 00:40:55,640
Speaker 1: this episcopalian like in my town. The episcopalian was like,

731
00:40:55,680 --> 00:40:59,160
Speaker 1: I actually know somebody who I met at an Episcopalian

732
00:40:59,200 --> 00:41:03,279
Speaker 1: conference who's from Boston. And they got this package to

733
00:41:03,440 --> 00:41:07,120
Speaker 1: this randomly selected divinity student and like a matter of

734
00:41:07,520 --> 00:41:11,560
Speaker 1: six degrees and they they found that to be kind

735
00:41:11,560 --> 00:41:15,879
Speaker 1: of consistently the case when they ran this experiment. And

736
00:41:16,440 --> 00:41:18,799
Speaker 1: the thing that I hadn't fully appreciated is like they

737
00:41:19,200 --> 00:41:23,600
Speaker 1: also asked people before this experiment, like what would you

738
00:41:23,920 --> 00:41:25,759
Speaker 1: think the results would be?

739
00:41:26,200 --> 00:41:27,960
Speaker 2: And like that how many steps would it take?

740
00:41:28,120 --> 00:41:31,279
Speaker 1: Yeah? How many steps? And that that is like you know,

741
00:41:31,719 --> 00:41:36,200
Speaker 1: I've known the six degrees of separation. I've known that phrase. Yeah,

742
00:41:36,360 --> 00:41:38,600
Speaker 1: I've known that that that is a Will Smith movie

743
00:41:38,920 --> 00:41:42,920
Speaker 1: since I was, you know, properly storing memory. So I

744
00:41:42,960 --> 00:41:45,839
Speaker 1: don't know what my guess would be. But the guess

745
00:41:45,880 --> 00:41:48,399
Speaker 1: has ranged from like one hundred to one thousand two,

746
00:41:48,440 --> 00:41:51,200
Speaker 1: people being like you'll never connect them, like it'll just

747
00:41:51,680 --> 00:41:53,279
Speaker 1: like why would you ever be able to connect to

748
00:41:53,520 --> 00:41:56,560
Speaker 1: random people? Like the world is so big and some massive.

749
00:41:57,120 --> 00:42:00,439
Speaker 4: Twelve for some reason, really like ten or twelve. I think,

750
00:42:00,520 --> 00:42:01,520
Speaker 4: what would you have guessed?

751
00:42:01,719 --> 00:42:03,960
Speaker 1: I think I would have guessed a few words. One hundred.

752
00:42:04,520 --> 00:42:06,720
Speaker 4: Yeah, if no one had said anything about six degrees

753
00:42:06,719 --> 00:42:07,600
Speaker 4: of whatever ever.

754
00:42:07,960 --> 00:42:11,520
Speaker 2: Yeah, I would probably think one hundred. Feels like I

755
00:42:11,520 --> 00:42:12,920
Speaker 2: could do it within a hundred.

756
00:42:13,239 --> 00:42:14,160
Speaker 4: Yeah, yeah, yeah.

757
00:42:14,200 --> 00:42:16,440
Speaker 2: It feels like a sake that it is. It is

758
00:42:16,440 --> 00:42:18,600
Speaker 2: a little mind blowing. You're like, will probably take less

759
00:42:18,640 --> 00:42:22,040
Speaker 2: than ten You're like, really, yeah, it seems Yeah.

760
00:42:22,080 --> 00:42:25,120
Speaker 4: The fact that it's single digits, I think, like totally.

761
00:42:25,200 --> 00:42:25,880
Speaker 1: Fucks me up.

762
00:42:25,960 --> 00:42:28,120
Speaker 4: Yeah, exactly fucks.

763
00:42:27,920 --> 00:42:30,959
Speaker 1: Me up the way my voice fucked up everybody last

764
00:42:30,960 --> 00:42:31,960
Speaker 1: week sucked up.

765
00:42:33,160 --> 00:42:35,600
Speaker 4: Yeah, Miles, you better listen to that episode if you

766
00:42:35,719 --> 00:42:36,680
Speaker 4: respect your list.

767
00:42:37,400 --> 00:42:39,040
Speaker 2: And I get all self conscious and that come on

768
00:42:39,040 --> 00:42:40,800
Speaker 2: tomorrows episode, Like, so we'll sell.

769
00:42:44,280 --> 00:42:47,040
Speaker 4: Be able to record anymore because you're just blushing so

770
00:42:47,160 --> 00:42:48,640
Speaker 4: hard the entire time.

771
00:42:50,760 --> 00:42:54,520
Speaker 2: Just talking to me with that voice. Yeah, but I.

772
00:42:54,440 --> 00:42:57,719
Speaker 4: Mean, like, stop putting yourself on camera because people can't

773
00:42:57,800 --> 00:43:01,960
Speaker 4: handle it. Just can't. You can't be on.

774
00:43:02,000 --> 00:43:06,880
Speaker 2: Zoom it's hard, like, so now they can. So how

775
00:43:06,920 --> 00:43:09,160
Speaker 2: you can apply this now to all kinds of sort

776
00:43:09,160 --> 00:43:11,759
Speaker 2: of like network mapping, right, if you kind of know

777
00:43:11,880 --> 00:43:14,960
Speaker 2: this to be sort of it averages out to around

778
00:43:15,080 --> 00:43:18,600
Speaker 2: six no matter what helps like with all kinds of

779
00:43:18,960 --> 00:43:21,480
Speaker 2: like I guess you know how we look at pandemics

780
00:43:21,600 --> 00:43:26,200
Speaker 2: or other network dynamic or network dynamic dependent phenomena.

781
00:43:26,520 --> 00:43:29,600
Speaker 1: Yeah, it's six infection cycles and the whole world has.

782
00:43:29,640 --> 00:43:32,600
Speaker 1: The fucking thing is like kind of the dark side

783
00:43:32,760 --> 00:43:37,680
Speaker 1: of this finding is you know, it spreads quick right,

784
00:43:37,920 --> 00:43:41,200
Speaker 1: And I think this is true of also like social contagion,

785
00:43:41,360 --> 00:43:45,120
Speaker 1: like the how quickly ideas spread, you know, because that's

786
00:43:45,160 --> 00:43:48,880
Speaker 1: the thing that spreads over over social media like faster

787
00:43:49,000 --> 00:43:53,239
Speaker 1: than it ever has and so I think we're less stable,

788
00:43:53,600 --> 00:43:58,879
Speaker 1: like across wide geographic margins than we ever have been,

789
00:43:59,200 --> 00:44:02,759
Speaker 1: Like we're more socift two ideas that come in and

790
00:44:03,440 --> 00:44:07,560
Speaker 1: sweep through and change things. And it's definitely like a

791
00:44:07,560 --> 00:44:11,719
Speaker 1: power a powerful study because they yeah, they specifically say,

792
00:44:11,760 --> 00:44:14,160
Speaker 1: when we did the math, we discovered an amazing result.

793
00:44:14,280 --> 00:44:17,960
Speaker 1: This process always ends with social paths centered around the

794
00:44:18,040 --> 00:44:22,840
Speaker 1: number six. Each individual acts independently without knowing the network

795
00:44:22,880 --> 00:44:26,200
Speaker 1: as a whole, yet this self driven game shapes the

796
00:44:26,239 --> 00:44:29,160
Speaker 1: structure of the entire network, leading to the small world

797
00:44:29,200 --> 00:44:32,280
Speaker 1: phenomenon and the recurring pattern of six degrees.

798
00:44:32,680 --> 00:44:33,720
Speaker 4: That's fucking crazy.

799
00:44:34,160 --> 00:44:37,400
Speaker 2: Yeah, that's yeah, the small world. It is funny that

800
00:44:37,920 --> 00:44:40,560
Speaker 2: like when we went to a museum in like London,

801
00:44:40,640 --> 00:44:43,520
Speaker 2: we ran into somebody who her magics you didn't even know,

802
00:44:43,600 --> 00:44:45,399
Speaker 2: but came to find out they were at the same

803
00:44:45,400 --> 00:44:50,560
Speaker 2: college at the same time, randomly like helping a stranger

804
00:44:50,680 --> 00:44:53,040
Speaker 2: up the steps with a baby stroller and we had

805
00:44:53,080 --> 00:44:55,879
Speaker 2: one too, and then started talking and then it just like, oh, yeah,

806
00:44:55,920 --> 00:44:59,040
Speaker 2: my husband went there. And then it's like, what the fuck,

807
00:44:59,360 --> 00:44:59,960
Speaker 2: that's crazy.

808
00:45:00,120 --> 00:45:01,680
Speaker 1: Yeah, it wasn't even a thing where you were like

809
00:45:01,760 --> 00:45:03,960
Speaker 1: wearing the same sweatshirt and like noticed each other.

810
00:45:04,080 --> 00:45:06,120
Speaker 2: Yeah, no, no, not at all. Just you just have

811
00:45:06,800 --> 00:45:10,720
Speaker 2: groups of parents college had on waving upon.

812
00:45:11,719 --> 00:45:16,400
Speaker 4: Yeah, does this guy think he is before run into

813
00:45:16,440 --> 00:45:21,239
Speaker 4: the same people when I'm visiting a place like a

814
00:45:21,320 --> 00:45:25,080
Speaker 4: different like during my vacation or whatever, like at a

815
00:45:25,080 --> 00:45:27,680
Speaker 4: lot of different places and not like tourist attractions. You

816
00:45:27,680 --> 00:45:29,800
Speaker 4: know what I'm saying. It happened to you ever, that

817
00:45:29,840 --> 00:45:31,640
Speaker 4: happened to me this weekend.

818
00:45:32,000 --> 00:45:35,239
Speaker 1: The Huntington Park or the Huntington Library, whatever the fuck

819
00:45:35,280 --> 00:45:38,319
Speaker 1: that thing is. Yeah, it's not in gardens, but it's

820
00:45:38,360 --> 00:45:42,560
Speaker 1: an amazing huge garden. And like we arrived with like

821
00:45:42,760 --> 00:45:45,040
Speaker 1: three different groups of people like just in line at

822
00:45:45,080 --> 00:45:47,560
Speaker 1: the same time, and like kept seeing them. We were

823
00:45:47,640 --> 00:45:49,719
Speaker 1: just like on the same we would like circulate going

824
00:45:49,800 --> 00:45:52,720
Speaker 1: like all these weird different directions and like kept seeing

825
00:45:52,760 --> 00:45:53,400
Speaker 1: those same people.

826
00:45:53,400 --> 00:45:57,120
Speaker 4: And it's a big ass park, so many different ways

827
00:45:57,200 --> 00:45:59,960
Speaker 4: to go. It's like not or when I rented my

828
00:46:00,040 --> 00:46:04,360
Speaker 4: place in Paris, I knew one person there and he

829
00:46:04,520 --> 00:46:08,319
Speaker 4: was like, oh, what's your address? And I gave it

830
00:46:08,360 --> 00:46:13,000
Speaker 4: to him and he started laughing. And he's my friend.

831
00:46:14,080 --> 00:46:15,320
Speaker 2: He's half a block.

832
00:46:16,920 --> 00:46:19,760
Speaker 4: His place was half a block away. Oh wow, really

833
00:46:20,280 --> 00:46:23,479
Speaker 4: I knew one person in all of Paris and ended

834
00:46:23,560 --> 00:46:26,960
Speaker 4: up renting an Airbnb. Huge.

835
00:46:26,960 --> 00:46:32,320
Speaker 1: It's like ten twelve blocks. It's so big. Find no

836
00:46:32,520 --> 00:46:35,520
Speaker 1: Paris like it's you got the Eiffel Tower. You got

837
00:46:35,520 --> 00:46:38,360
Speaker 1: a couple streets on the left side of the Eiffel Tower,

838
00:46:39,480 --> 00:46:40,239
Speaker 1: the right.

839
00:46:40,480 --> 00:46:43,480
Speaker 4: Done, there's the river. We're done.

840
00:46:43,719 --> 00:46:48,879
Speaker 2: Got the sports, the champs. Sports at least got it all.

841
00:46:49,920 --> 00:46:52,480
Speaker 1: See. So he comes back, so culture.

842
00:46:52,360 --> 00:46:55,759
Speaker 4: Yeah, champs head, me too, the camps.

843
00:46:56,280 --> 00:47:01,480
Speaker 1: Yeah, amazing. All right, Well, let's take another quick break

844
00:47:01,560 --> 00:47:05,200
Speaker 1: and we'll come back and talk about Donald Trump.

845
00:47:05,719 --> 00:47:18,760
Speaker 3: We'll be right back, and we're back.

846
00:47:19,680 --> 00:47:23,160
Speaker 1: And there just seems to be this thing happening on

847
00:47:23,239 --> 00:47:27,400
Speaker 1: the right where they really think Trump's going to be assassinated.

848
00:47:27,920 --> 00:47:31,319
Speaker 1: Feels like there might be like some wishful like you know,

849
00:47:31,360 --> 00:47:33,360
Speaker 1: Tuger Carlson, I think has been like horny for a

850
00:47:33,400 --> 00:47:35,200
Speaker 1: civil war for a long time, and I feel like

851
00:47:35,239 --> 00:47:38,759
Speaker 1: he senses that maybe this is his best shot at it.

852
00:47:39,160 --> 00:47:42,680
Speaker 1: And so he took a few minutes away from his

853
00:47:42,800 --> 00:47:47,759
Speaker 1: busy schedule filming angry Twitter videos in a sadness shack

854
00:47:47,800 --> 00:47:52,080
Speaker 1: in the woods to appear on the Adam Carolla podcast. Okay,

855
00:47:52,360 --> 00:47:55,520
Speaker 1: you know, just just really love cutting it up.

856
00:47:55,920 --> 00:48:00,640
Speaker 4: Yeah, to see Corolla still like a round somehow like

857
00:48:00,840 --> 00:48:04,800
Speaker 4: be worse than when he like invented The Man Show, right, Yeah.

858
00:48:05,600 --> 00:48:05,839
Speaker 3: Wow.

859
00:48:06,640 --> 00:48:08,560
Speaker 2: The fork in the road of The Man Show with

860
00:48:08,680 --> 00:48:10,120
Speaker 2: Kimmel and Corolla.

861
00:48:10,480 --> 00:48:12,799
Speaker 4: Is what I keep thinking. It's like, uh, you know,

862
00:48:12,880 --> 00:48:16,080
Speaker 4: it's like one of them like turned.

863
00:48:17,040 --> 00:48:19,560
Speaker 2: Or on, or one was always there the whole time.

864
00:48:19,600 --> 00:48:21,759
Speaker 2: You know, like it's yeah, like this is what it

865
00:48:21,840 --> 00:48:24,239
Speaker 2: turns into. Because also, like you think of love line too,

866
00:48:24,239 --> 00:48:28,040
Speaker 2: because even Doctor Drew is also you know, he's he's

867
00:48:28,080 --> 00:48:30,040
Speaker 2: on that he's on that sort of right path too.

868
00:48:30,320 --> 00:48:32,359
Speaker 1: But we've got a lot of videos of doctor Drew

869
00:48:32,400 --> 00:48:36,120
Speaker 1: doing curls and talking to me being like, hey, guys,

870
00:48:37,000 --> 00:48:40,520
Speaker 1: Drew like doing like curls, like telling me about like

871
00:48:40,600 --> 00:48:43,840
Speaker 1: all the things I need to know about his fucking

872
00:48:44,680 --> 00:48:46,800
Speaker 1: bodybuilding formula.

873
00:48:47,000 --> 00:48:48,960
Speaker 4: All I keep thinking is how we listen to so

874
00:48:49,080 --> 00:48:51,360
Speaker 4: much Loveline growing up, and we were like, this is

875
00:48:51,360 --> 00:48:54,680
Speaker 4: the ship right now, and all of it was just

876
00:48:54,800 --> 00:48:59,319
Speaker 4: Doctor Drew telling women with high voices that they were molested, right,

877
00:49:00,120 --> 00:49:02,440
Speaker 4: and we were like, this is sick. You're like I'm

878
00:49:02,440 --> 00:49:06,879
Speaker 4: gonna listen to it again tomorrow night. Why we were

879
00:49:06,920 --> 00:49:08,480
Speaker 4: so fucked up? We're so damaged?

880
00:49:08,680 --> 00:49:10,560
Speaker 2: Oh, I mean, And I think to your point about

881
00:49:10,560 --> 00:49:13,240
Speaker 2: how you like you have to write articles about proper

882
00:49:13,440 --> 00:49:16,319
Speaker 2: digital stimulation of the genitals, you know, and like you

883
00:49:16,360 --> 00:49:19,120
Speaker 2: get like the worst sex advice from Adam Carolla when

884
00:49:19,120 --> 00:49:21,920
Speaker 2: you're thirteen. I was just like, I just remember too,

885
00:49:21,920 --> 00:49:25,400
Speaker 2: because like I had a radio that if the speakers

886
00:49:25,440 --> 00:49:27,040
Speaker 2: were on, my mom would be like I thought, I

887
00:49:27,120 --> 00:49:28,640
Speaker 2: thought you, I told you to go to sleep. So

888
00:49:28,680 --> 00:49:29,320
Speaker 2: I had to like it.

889
00:49:29,600 --> 00:49:29,879
Speaker 4: I got.

890
00:49:29,880 --> 00:49:31,640
Speaker 2: I had to get a headphone jack that will go

891
00:49:31,760 --> 00:49:33,239
Speaker 2: long enough that I could kind of be in my

892
00:49:33,239 --> 00:49:35,200
Speaker 2: bed so if my mom checked, I could like fucking

893
00:49:35,200 --> 00:49:36,719
Speaker 2: throw the headphones off and it wouldn't look like I

894
00:49:36,719 --> 00:49:40,120
Speaker 2: was listening to love Line, and I was just mainlining

895
00:49:40,239 --> 00:49:43,560
Speaker 2: the most regressive shit ever, and then coming away with

896
00:49:43,680 --> 00:49:46,040
Speaker 2: being like I'm a man of the twenty first century,

897
00:49:46,200 --> 00:49:47,680
Speaker 2: thank you, Yes.

898
00:49:47,880 --> 00:49:51,160
Speaker 4: I'm like, I'm a feminist. Let's put on another episode

899
00:49:51,239 --> 00:49:54,800
Speaker 4: of fucking love Line. What the fuck?

900
00:49:55,239 --> 00:49:57,520
Speaker 1: But so he had he had Tuger Carlson on because

901
00:49:57,520 --> 00:50:01,439
Speaker 1: that's where he's at right these days, Corolla. And when

902
00:50:01,440 --> 00:50:04,040
Speaker 1: I asked about Trump's future, Carlson said that he was

903
00:50:04,120 --> 00:50:08,680
Speaker 1: speeding towards assassination. Obviously, if you begin with criticism, then

904
00:50:08,760 --> 00:50:12,080
Speaker 1: you go to protest, then you go to impeachment. Now

905
00:50:12,120 --> 00:50:14,280
Speaker 1: you go to indictments and none of them work. What's next?

906
00:50:14,480 --> 00:50:17,560
Speaker 1: Graph it out? Man, We're speeding toward assassination. Obviously.

907
00:50:17,760 --> 00:50:20,680
Speaker 4: That's a good Tucker Carlson. The graph it out especially,

908
00:50:20,840 --> 00:50:23,120
Speaker 4: great job in the bow tie too.

909
00:50:23,520 --> 00:50:25,800
Speaker 1: Yeah, I do. I did put on my bow tie

910
00:50:26,080 --> 00:50:29,040
Speaker 1: and put just as quick style.

911
00:50:29,760 --> 00:50:30,800
Speaker 4: But style.

912
00:50:31,400 --> 00:50:33,120
Speaker 1: He does have swoopy beings.

913
00:50:33,000 --> 00:50:35,319
Speaker 4: He sure does. I went to g W where they

914
00:50:35,440 --> 00:50:41,319
Speaker 4: filmed Crossfire, Yeah, and I protested during it and got

915
00:50:41,400 --> 00:50:48,920
Speaker 4: kicked out the banner against the war and uh in

916
00:50:49,000 --> 00:50:50,920
Speaker 4: a rock and they were like, yeah, I get the

917
00:50:50,960 --> 00:50:51,800
Speaker 4: fuck out forever.

918
00:50:54,160 --> 00:50:57,400
Speaker 1: There's a lot of dudes from Virginia that look exactly

919
00:50:57,440 --> 00:50:59,120
Speaker 1: like Tucker Carlson. Yeah.

920
00:50:59,320 --> 00:51:03,080
Speaker 2: But they're walking around georgetowns Yeah, yeah, exactly.

921
00:51:03,760 --> 00:51:06,520
Speaker 4: Especially twelve. It's fucked up.

922
00:51:07,000 --> 00:51:08,719
Speaker 2: It is wild. Hey, he's still managing it.

923
00:51:08,760 --> 00:51:10,919
Speaker 4: It's like the cover of Mad magazine. What are we doing?

924
00:51:11,560 --> 00:51:13,720
Speaker 2: Alfredy Newman? But like the fast version.

925
00:51:14,120 --> 00:51:17,000
Speaker 1: Yeah, but he he actually brought this up in his

926
00:51:17,080 --> 00:51:21,799
Speaker 1: interview with Trump in August, he was like, so, were

927
00:51:21,800 --> 00:51:25,319
Speaker 1: you afraid someone's gonna like what it's coming for you?

928
00:51:25,880 --> 00:51:29,680
Speaker 1: And Trump was just like, yeah, you know, moving along.

929
00:51:30,600 --> 00:51:34,360
Speaker 4: It sounds like he's manifesting it, does doesn't It sounds

930
00:51:34,360 --> 00:51:38,440
Speaker 4: like Tucker's like manifesting Trump getting assassinated or just psyching

931
00:51:38,520 --> 00:51:41,160
Speaker 4: himself up to do it, because it is incredibly weird

932
00:51:41,160 --> 00:51:43,640
Speaker 4: to be the only person talking about it. It's like

933
00:51:43,680 --> 00:51:45,000
Speaker 4: if you like, go out on a date with a

934
00:51:45,000 --> 00:51:46,680
Speaker 4: guy and he's like, don't worry, I'm not going to

935
00:51:46,800 --> 00:51:50,120
Speaker 4: murder you, and you're like, hold on what I didn't

936
00:51:50,160 --> 00:51:52,919
Speaker 4: think that? But why would you bring that up like that?

937
00:51:52,960 --> 00:51:54,239
Speaker 4: They're like, no, no, you're not. Just want to make it

938
00:51:54,320 --> 00:51:56,920
Speaker 4: clear I will not murder you.

939
00:51:57,080 --> 00:51:59,759
Speaker 2: But follow up question, are you worried that you could

940
00:51:59,760 --> 00:52:03,399
Speaker 2: get ordered leg anytime soon? Just putting that out there,

941
00:52:03,880 --> 00:52:06,000
Speaker 2: not to the universe, was just like, I'm positing that

942
00:52:06,120 --> 00:52:06,880
Speaker 2: question anyway.

943
00:52:06,880 --> 00:52:07,839
Speaker 4: I want to order your drink?

944
00:52:08,320 --> 00:52:10,520
Speaker 1: Yeah, let me order it for you. Actually, you can

945
00:52:10,560 --> 00:52:14,480
Speaker 1: go to the bathroom. All'll order it. He now that

946
00:52:14,600 --> 00:52:17,719
Speaker 1: he's saying this like everyone's that Like. Dan Bongino picked

947
00:52:17,719 --> 00:52:20,479
Speaker 1: it up, Alex Jones picked it up although Alex Jones

948
00:52:20,520 --> 00:52:22,919
Speaker 1: has obviously been saying something similar for a while now.

949
00:52:23,280 --> 00:52:25,799
Speaker 1: Back in June, Alex Jones claimed that Trump would soon

950
00:52:25,840 --> 00:52:29,560
Speaker 1: be assassinated by the deep state establishment. Also back in

951
00:52:29,640 --> 00:52:32,760
Speaker 1: twenty seventeen, Jones was claiming that there was a plot

952
00:52:32,760 --> 00:52:36,280
Speaker 1: to assassinate Trump. Information he obtained thanks to a friendly

953
00:52:36,320 --> 00:52:40,840
Speaker 1: call from a Secret Service agent. So that's pretty heavily

954
00:52:40,960 --> 00:52:44,040
Speaker 1: sourced information about Like that's kind of their main thing,

955
00:52:44,080 --> 00:52:45,160
Speaker 1: the Secret Services.

956
00:52:45,280 --> 00:52:47,600
Speaker 4: Oh yeah, if you believe that. I think it was

957
00:52:47,719 --> 00:52:50,600
Speaker 4: just Trump the way he pretended to be his own

958
00:52:50,680 --> 00:52:53,320
Speaker 4: like PR guy and all of these other people. He

959
00:52:53,520 --> 00:52:56,279
Speaker 4: was like, let me really quickly become a secret.

960
00:52:56,239 --> 00:53:02,880
Speaker 2: Hello, I am agent, uh secret of the Secret Service.

961
00:53:03,640 --> 00:53:04,000
Speaker 4: Rum.

962
00:53:05,560 --> 00:53:09,160
Speaker 2: Yes, right, I'm a Secret Service agent. Okay, a Secret

963
00:53:09,160 --> 00:53:10,799
Speaker 2: Service agent. What's your first name?

964
00:53:11,320 --> 00:53:13,520
Speaker 1: I don't know.

965
00:53:15,760 --> 00:53:17,000
Speaker 4: Let Homer Simpson on him.

966
00:53:17,120 --> 00:53:21,360
Speaker 2: Yeah, no, believe you have a package for me.

967
00:53:23,680 --> 00:53:27,279
Speaker 1: But they actually hyped a fake assassination plot during the

968
00:53:27,320 --> 00:53:30,920
Speaker 1: twenty sixteen election which I only vaguely remembered, But it

969
00:53:30,960 --> 00:53:33,720
Speaker 1: was during a rally and reno and he was rushed

970
00:53:33,760 --> 00:53:36,799
Speaker 1: off stage by Secret Service after someone shouted gun and

971
00:53:36,880 --> 00:53:39,560
Speaker 1: a suspect was apprehended and then he took to the

972
00:53:39,640 --> 00:53:43,160
Speaker 1: stage again and finished a speech proclaiming we will never

973
00:53:43,200 --> 00:53:46,600
Speaker 1: be stopped, which seems like he's like it's kind of

974
00:53:46,680 --> 00:53:52,279
Speaker 1: like his posture now right that he's like his never

975
00:53:52,400 --> 00:53:56,239
Speaker 1: surrender like coffee mugs with his mug shot of him

976
00:53:56,280 --> 00:53:59,360
Speaker 1: surrendering or going like hot cakes, I have to imagine

977
00:53:59,640 --> 00:54:00,560
Speaker 1: and by the way.

978
00:54:00,960 --> 00:54:04,160
Speaker 4: To assume that he has the health to like survive.

979
00:54:04,480 --> 00:54:06,760
Speaker 1: Well that's the point. That's where like his own body,

980
00:54:07,360 --> 00:54:11,319
Speaker 1: he's fucking seventy seven and like overweight and eats like shit,

981
00:54:11,480 --> 00:54:14,160
Speaker 1: and now he's like his weight a yo yoing because

982
00:54:14,200 --> 00:54:17,080
Speaker 1: I think he's on ozempic like, which is can't be

983
00:54:17,520 --> 00:54:21,279
Speaker 1: healthy for him. Like this is like there's so.

984
00:54:21,320 --> 00:54:24,319
Speaker 4: Many man that literally doesn't believe in exercise because he

985
00:54:24,360 --> 00:54:28,359
Speaker 4: thinks you're the muscles more it uses them up.

986
00:54:28,640 --> 00:54:30,919
Speaker 1: You only have so many heartbeats, so what I'm gonna

987
00:54:30,920 --> 00:54:33,359
Speaker 1: speed up my heartbeat and get it to do too

988
00:54:33,360 --> 00:54:34,880
Speaker 1: many beats? And then that.

989
00:54:34,960 --> 00:54:40,919
Speaker 2: Movie, Yeah it ain't happening with was that Jessica justin

990
00:54:41,000 --> 00:54:44,120
Speaker 2: Timberlake about like that one like weird sci fi movie

991
00:54:44,200 --> 00:54:45,880
Speaker 2: or like you have to keep buying time for your

992
00:54:45,920 --> 00:54:48,279
Speaker 2: body to live and shit, Yeah, he's probably on that

993
00:54:48,400 --> 00:54:50,080
Speaker 2: sort of like logic path.

994
00:54:50,360 --> 00:54:52,319
Speaker 1: But just in time is that?

995
00:54:52,400 --> 00:54:54,080
Speaker 2: Yeah? That I think that's what?

996
00:54:54,200 --> 00:54:59,120
Speaker 1: Also what just in time? Justin Timberlake, I don't think

997
00:54:59,120 --> 00:55:01,919
Speaker 1: I think it's called like in time or yeah, out

998
00:55:01,960 --> 00:55:02,440
Speaker 1: of time.

999
00:55:02,840 --> 00:55:05,000
Speaker 4: Well, that's a missed opportunity for just in time.

1000
00:55:05,120 --> 00:55:07,040
Speaker 1: They really should have done just in time.

1001
00:55:07,160 --> 00:55:08,960
Speaker 4: If he hasn't released that album yet.

1002
00:55:08,800 --> 00:55:10,160
Speaker 2: In time in time.

1003
00:55:10,440 --> 00:55:14,040
Speaker 1: They definitely had it as just in Time for a

1004
00:55:14,120 --> 00:55:17,640
Speaker 1: while and got cold feet at the end because just.

1005
00:55:17,680 --> 00:55:22,640
Speaker 2: In Time ber Lake kind of a wonky title, But

1006
00:55:22,719 --> 00:55:23,839
Speaker 2: we're going for it just.

1007
00:55:23,800 --> 00:55:26,400
Speaker 1: In time Colin Berlake.

1008
00:55:28,760 --> 00:55:32,080
Speaker 2: But you get like I get why. Also you need

1009
00:55:32,080 --> 00:55:34,440
Speaker 2: the sort of you have to raise the specter of

1010
00:55:34,480 --> 00:55:38,200
Speaker 2: some some ghoulish act happening against your dear leader, because

1011
00:55:38,440 --> 00:55:42,480
Speaker 2: what they need to do is activate people's sort of instinct.

1012
00:55:42,480 --> 00:55:45,640
Speaker 2: I want to protect Trump at every cost. So if

1013
00:55:45,680 --> 00:55:48,200
Speaker 2: this is more of a threat, then that makes everything

1014
00:55:48,239 --> 00:55:50,279
Speaker 2: people a little bit more invested in being like, we

1015
00:55:50,360 --> 00:55:54,000
Speaker 2: have to protect Trump from every dimension existential threat that exists,

1016
00:55:54,000 --> 00:55:58,160
Speaker 2: whether it's the legal system or some rogue bard who

1017
00:55:58,320 --> 00:56:00,760
Speaker 2: just wants to go off, you know, and do something

1018
00:56:00,880 --> 00:56:01,640
Speaker 2: terrible to him.

1019
00:56:02,000 --> 00:56:05,520
Speaker 4: Right, Also, these people make a living off of sensationalism,

1020
00:56:05,600 --> 00:56:09,920
Speaker 4: like at Alex Jones and them, like you know, of

1021
00:56:09,960 --> 00:56:14,160
Speaker 4: course they run with any piece of anything sensational, So

1022
00:56:14,320 --> 00:56:17,160
Speaker 4: like the Trump assassination thing had to be said like

1023
00:56:17,280 --> 00:56:20,239
Speaker 4: one time and then that's it. Like now they have

1024
00:56:20,280 --> 00:56:22,279
Speaker 4: a new narrative to like play with because they're like, oh,

1025
00:56:22,320 --> 00:56:25,319
Speaker 4: finally we really needed, like, you know, an event for

1026
00:56:25,600 --> 00:56:31,040
Speaker 4: this week's like insane you know show podcast, whatever it

1027
00:56:31,120 --> 00:56:34,560
Speaker 4: is that the right wing person's doing, you know. And

1028
00:56:34,600 --> 00:56:36,560
Speaker 4: it's also like all such a soap opera that like

1029
00:56:36,600 --> 00:56:39,839
Speaker 4: eventually you run out of storylines, right yeah, So it's

1030
00:56:39,840 --> 00:56:43,320
Speaker 4: like you're watching you know, whatever Days of our Lives

1031
00:56:43,360 --> 00:56:46,719
Speaker 4: on its like one hundredth seasons. So you're like, I

1032
00:56:46,760 --> 00:56:48,680
Speaker 4: guess now we have to do the assassination.

1033
00:56:49,440 --> 00:56:54,400
Speaker 2: Yeah yeah, hy you know body, We've already done body

1034
00:56:54,440 --> 00:56:57,680
Speaker 2: doubles like nine times, so I guess we could do

1035
00:56:57,719 --> 00:57:00,319
Speaker 2: the coma and he comes out a different person and

1036
00:57:00,360 --> 00:57:02,440
Speaker 2: then we debate whether he's the same person that went

1037
00:57:02,480 --> 00:57:03,200
Speaker 2: into the coma.

1038
00:57:03,280 --> 00:57:05,440
Speaker 1: Then that would be the third time this year that

1039
00:57:05,520 --> 00:57:08,040
Speaker 1: we did that plot. But just saying I'm not saying

1040
00:57:08,040 --> 00:57:09,560
Speaker 1: it's the reason not to do it. I'm just saying

1041
00:57:09,560 --> 00:57:10,359
Speaker 1: we've done it three times.

1042
00:57:10,440 --> 00:57:12,560
Speaker 2: I think we're already doing it with like yeah, McConnell

1043
00:57:12,600 --> 00:57:15,040
Speaker 2: and stuff too. Or it's like, you know, who knows

1044
00:57:15,080 --> 00:57:17,040
Speaker 2: if that's the same guy from a few months ago

1045
00:57:17,080 --> 00:57:19,320
Speaker 2: who his batteries keep running out on stage.

1046
00:57:19,400 --> 00:57:22,520
Speaker 4: It's like, weird, he did all of the things.

1047
00:57:23,040 --> 00:57:26,800
Speaker 2: Yeah, So like aliens are next, folks, they're next.

1048
00:57:27,200 --> 00:57:30,960
Speaker 4: Maybe I got one. Is he pregnant? Should we do

1049
00:57:31,040 --> 00:57:31,520
Speaker 4: that next?

1050
00:57:32,960 --> 00:57:36,200
Speaker 2: He's pregnant next. Yes, And that's why he's gonna come

1051
00:57:36,200 --> 00:57:39,560
Speaker 2: around on reproductive rights because he himself is now pregnant

1052
00:57:39,560 --> 00:57:41,040
Speaker 2: and understands what is going on.

1053
00:57:40,960 --> 00:57:43,560
Speaker 4: With say, okay, we've never done anything like this. It

1054
00:57:43,600 --> 00:57:47,240
Speaker 4: could be really cool and transgressive. I think we could

1055
00:57:47,280 --> 00:57:52,720
Speaker 4: get a daytime emmy. Yeah, that's me being a terrible writer.

1056
00:57:53,200 --> 00:57:56,480
Speaker 4: That's a scab during the writer's strike, just coming through,

1057
00:57:56,920 --> 00:58:00,000
Speaker 4: uh suggesting whatever the orange.

1058
00:58:01,520 --> 00:58:04,040
Speaker 2: Yeah, have we tried this? I mean, this is a

1059
00:58:04,040 --> 00:58:05,800
Speaker 2: pilot I was working on, but we may be able

1060
00:58:05,800 --> 00:58:06,760
Speaker 2: to adapt it for Trump.

1061
00:58:06,880 --> 00:58:08,720
Speaker 4: Yeah yeah, yeah, maybe we can cut out some of

1062
00:58:08,720 --> 00:58:11,480
Speaker 4: this dialogue from this other script.

1063
00:58:13,240 --> 00:58:15,760
Speaker 1: Donald Trump Junior back then suggested that the guy was

1064
00:58:15,840 --> 00:58:18,439
Speaker 1: hired by the DNC, and it turns out the guy

1065
00:58:19,000 --> 00:58:22,240
Speaker 1: was not an assassin. He was holding up a sign

1066
00:58:22,360 --> 00:58:26,040
Speaker 1: that said Republicans against Trump because he was a Republican,

1067
00:58:27,280 --> 00:58:28,600
Speaker 1: and somebody shouted gun.

1068
00:58:28,920 --> 00:58:33,800
Speaker 4: But super funny, the call was coming from inside the house.

1069
00:58:36,360 --> 00:58:39,200
Speaker 4: They're like, oh no, what do we do? It says Republican.

1070
00:58:39,280 --> 00:58:44,440
Speaker 4: We like that? Ohream gun Trump? Oh shit.

1071
00:58:45,840 --> 00:58:49,680
Speaker 1: Also circuit right, So that one, even though there was

1072
00:58:49,720 --> 00:58:52,600
Speaker 1: absolutely no truth to it, was just a Republican holding

1073
00:58:52,680 --> 00:58:54,760
Speaker 1: up a sign that they somehow thought was a gun.

1074
00:58:54,920 --> 00:58:58,600
Speaker 1: Because Trump's people kept claiming that he had survived an

1075
00:58:58,600 --> 00:59:02,520
Speaker 1: assassination attempt. The following Trump rally, the guy introducing him

1076
00:59:02,520 --> 00:59:05,680
Speaker 1: flat out said there was an attempt of murder against

1077
00:59:05,760 --> 00:59:09,400
Speaker 1: Trump in Nevada. But then when someone actually tried to

1078
00:59:09,680 --> 00:59:12,439
Speaker 1: kill Trump the same year, nobody made a big deal

1079
00:59:12,480 --> 00:59:17,920
Speaker 1: about it, even though the guy was an illegal immigrant.

1080
00:59:18,280 --> 00:59:20,960
Speaker 1: And the reason for that is because it was a

1081
00:59:21,040 --> 00:59:23,320
Speaker 1: twenty one year or a twenty year old white kid

1082
00:59:23,320 --> 00:59:26,520
Speaker 1: from England with mental health issues, and so it didn't

1083
00:59:26,520 --> 00:59:27,760
Speaker 1: fit his campaign narrative.

1084
00:59:28,320 --> 00:59:31,080
Speaker 2: So it was just can we say, can we say

1085
00:59:31,120 --> 00:59:32,240
Speaker 2: he was in MS thirteen?

1086
00:59:33,800 --> 00:59:36,680
Speaker 1: If we know, I don't think anyone's gonna buy it. Also,

1087
00:59:36,720 --> 00:59:39,000
Speaker 1: he just tried to grab the gun of a cop

1088
00:59:39,080 --> 00:59:39,880
Speaker 1: nearby to.

1089
00:59:41,240 --> 00:59:44,000
Speaker 4: Wait a minute, what color was the cop?

1090
00:59:45,320 --> 00:59:48,000
Speaker 1: Maybe we can work with something here, Maybe the cop.

1091
00:59:55,160 --> 00:59:57,240
Speaker 2: The cop was in MS thirteen working in cahoots with

1092
00:59:57,280 --> 00:59:59,920
Speaker 2: this illegal immigrant who was meant to bleach his skinned

1093
01:00:00,080 --> 01:00:00,480
Speaker 2: fit in.

1094
01:00:00,840 --> 01:00:03,640
Speaker 4: See that's a plot line. You know what I'm saying, Like, that's.

1095
01:00:03,880 --> 01:00:05,960
Speaker 1: Is how you write daytime television.

1096
01:00:06,880 --> 01:00:08,520
Speaker 2: We won We want TV.

1097
01:00:09,360 --> 01:00:12,080
Speaker 1: Well, Sophia, such a pleasure having you as always on

1098
01:00:12,120 --> 01:00:15,080
Speaker 1: the podcast. Guys, where do people find you? Follow you?

1099
01:00:15,360 --> 01:00:16,280
Speaker 1: All that good stuff?

1100
01:00:16,680 --> 01:00:21,480
Speaker 4: You should definitely listen to my podcast with Miles about

1101
01:00:21,560 --> 01:00:24,920
Speaker 4: ninety day fiance called four to twenty Day Fiance. It's

1102
01:00:24,960 --> 01:00:29,240
Speaker 4: so fun. It's a lot of bits. The bits are pretty.

1103
01:00:30,600 --> 01:00:31,320
Speaker 2: They're troubling.

1104
01:00:31,640 --> 01:00:36,880
Speaker 4: The bits that there's too many, they're amazing bits. You

1105
01:00:36,920 --> 01:00:39,160
Speaker 4: will you will be on so many inside jokes. You

1106
01:00:39,200 --> 01:00:42,840
Speaker 4: will feel like you are so in high school, but

1107
01:00:42,920 --> 01:00:44,280
Speaker 4: like in the cool group, you know.

1108
01:00:45,000 --> 01:00:46,040
Speaker 2: The cool group of the kids.

1109
01:00:46,080 --> 01:00:48,240
Speaker 4: I don't know what I'm saying. I'm like, why would

1110
01:00:48,240 --> 01:00:51,120
Speaker 4: I even say that all of that back, It's just

1111
01:00:51,160 --> 01:00:52,520
Speaker 4: a fun podcast.

1112
01:00:53,000 --> 01:00:54,800
Speaker 1: And we're making fun of nerds.

1113
01:00:55,480 --> 01:00:57,200
Speaker 4: Yeah, I know, I'm like, what am I saying? I

1114
01:00:57,360 --> 01:01:00,600
Speaker 4: read all of the Robert Jordan books twice. What am

1115
01:01:00,640 --> 01:01:03,720
Speaker 4: I saying right now? You're the nerds just the coolest

1116
01:01:03,920 --> 01:01:07,120
Speaker 4: right here? Uh yeah, anyway, listen to that podcast and

1117
01:01:07,720 --> 01:01:10,080
Speaker 4: uh also you can listen to my stand up album

1118
01:01:10,280 --> 01:01:14,200
Speaker 4: Father's Day wherever you want. And I'm at the Sophia

1119
01:01:14,320 --> 01:01:16,800
Speaker 4: so f I y A there you everything.

1120
01:01:17,240 --> 01:01:19,120
Speaker 1: Is there a workimedia that you've been enjoying?

1121
01:01:19,720 --> 01:01:24,040
Speaker 4: Yes? There is? I love this tweet bye at Dear Lucy.

1122
01:01:24,920 --> 01:01:28,480
Speaker 4: And it's a photo she says, saw this yesterday and

1123
01:01:28,520 --> 01:01:31,760
Speaker 4: it's a haunted picture of a child, which I think

1124
01:01:31,840 --> 01:01:35,080
Speaker 4: is delightful. And on it is a note that says

1125
01:01:35,120 --> 01:01:40,680
Speaker 4: she's back three exclamation points, sold twice and returned twice.

1126
01:01:41,040 --> 01:01:44,920
Speaker 4: Are you brave enough? Or three question marks?

1127
01:01:45,560 --> 01:01:46,680
Speaker 1: No?

1128
01:01:47,680 --> 01:01:50,120
Speaker 4: And they're charging twenty bucks for it?

1129
01:01:51,640 --> 01:01:54,720
Speaker 1: DZ. Do we know where this is? Is it? At

1130
01:01:54,760 --> 01:01:56,840
Speaker 1: like a second, I think.

1131
01:01:56,720 --> 01:01:59,200
Speaker 4: It's I think it's somewhere in England?

1132
01:01:59,600 --> 01:01:59,960
Speaker 1: Wow?

1133
01:02:00,800 --> 01:02:05,760
Speaker 4: So yes, I don't know. Holy shit, I'm obsessed with it.

1134
01:02:05,880 --> 01:02:07,680
Speaker 4: That's kind of my favorite thing I've ever seen.

1135
01:02:08,880 --> 01:02:13,320
Speaker 1: Amazing miles. Where can people find you? Is there a

1136
01:02:13,360 --> 01:02:15,080
Speaker 1: work of media you've been enjoying?

1137
01:02:15,480 --> 01:02:19,360
Speaker 2: Oh yeah, find me on Twitter, Instagram at symbol based

1138
01:02:19,400 --> 01:02:22,560
Speaker 2: places at Miles of Gray. Obviously you heard about four

1139
01:02:22,560 --> 01:02:25,000
Speaker 2: to twenty Day Fiance. You know about Miles and Jack

1140
01:02:25,040 --> 01:02:27,960
Speaker 2: got Mad boosties. And also, if you like, you know

1141
01:02:28,040 --> 01:02:30,640
Speaker 2: the true crime show that doesn't involve people getting murdered

1142
01:02:30,680 --> 01:02:34,560
Speaker 2: needlessly or horribly tortured, check out The Good Thief where

1143
01:02:34,560 --> 01:02:37,800
Speaker 2: I talk about Vasili's palocostis the Greek robin Hood, which

1144
01:02:37,840 --> 01:02:41,720
Speaker 2: is really, really, really good, I must say, tweet I

1145
01:02:41,880 --> 01:02:46,400
Speaker 2: like it's from Caitlyn Jeffers at jeff Er not tweeted,

1146
01:02:46,640 --> 01:02:49,320
Speaker 2: and just like that, It's nine to eleven season.

1147
01:02:55,240 --> 01:02:57,240
Speaker 4: Get the pumpkins out, Yeah.

1148
01:02:57,160 --> 01:02:57,960
Speaker 2: Get them out.

1149
01:03:00,040 --> 01:03:05,160
Speaker 1: Eleven pumpkin spice. Oh yeah, a mere week away. Let's

1150
01:03:05,200 --> 01:03:10,680
Speaker 1: see some tweets I've been enjoying, guys. Tony P. T

1151
01:03:10,880 --> 01:03:14,040
Speaker 1: Bone seventy two nineteen tweeted, every time I turn around

1152
01:03:14,040 --> 01:03:16,400
Speaker 1: in someone's driveway, I feel like an angry mob will

1153
01:03:16,440 --> 01:03:19,000
Speaker 1: come running out of the house carrying torches and pitchforks.

1154
01:03:19,600 --> 01:03:21,280
Speaker 2: That is just very so real.

1155
01:03:21,640 --> 01:03:23,160
Speaker 4: Yeah yeah.

1156
01:03:23,360 --> 01:03:27,000
Speaker 1: And at Mike Mitch nh I'm assuming that is a

1157
01:03:27,200 --> 01:03:30,160
Speaker 1: Mike Mitchell from New Hampshire tweeted, if you want to

1158
01:03:30,200 --> 01:03:32,120
Speaker 1: know how the week is going, I just took a

1159
01:03:32,160 --> 01:03:34,920
Speaker 1: pillowcase out of the dryer, put it over my head

1160
01:03:35,000 --> 01:03:36,959
Speaker 1: thinking it was a T shirt to wear it a bed,

1161
01:03:37,480 --> 01:03:40,720
Speaker 1: spent fifteen seconds inside it, searching for the neck hole,

1162
01:03:40,880 --> 01:03:51,520
Speaker 1: and then mumbled, what is this pants? I've never identified more?

1163
01:03:52,120 --> 01:03:56,760
Speaker 1: I've never identified more. You can find me on Twitter

1164
01:03:56,760 --> 01:03:59,479
Speaker 1: at Jack Underscore Obrien. You can find us on Twitter

1165
01:03:59,520 --> 01:04:02,560
Speaker 1: at dailies Geist. Read the Daily Zeitgeist on Instagram. We

1166
01:04:02,600 --> 01:04:05,000
Speaker 1: have a Facebook fan page and a website, Daily zeike

1167
01:04:05,000 --> 01:04:07,600
Speaker 1: GUIs dot com, where we post our episodes and our

1168
01:04:07,640 --> 01:04:11,040
Speaker 1: footnotes where we link off the information that we talked

1169
01:04:11,040 --> 01:04:13,480
Speaker 1: about in today's episode, as well as a song that

1170
01:04:13,640 --> 01:04:16,160
Speaker 1: we think you might enjoy. Miles, is there a song

1171
01:04:16,880 --> 01:04:21,160
Speaker 1: besides just stray mandolin music that you think people might enjoy?

1172
01:04:21,400 --> 01:04:23,920
Speaker 2: Oh? Yeah, actually, Holly, pull up their bio.

1173
01:04:24,160 --> 01:04:27,840
Speaker 4: You'll be like, have you heard of a little known

1174
01:04:27,880 --> 01:04:33,400
Speaker 4: Italian band under your brothers? And then he just whips

1175
01:04:33,440 --> 01:04:38,840
Speaker 4: out this this crazy mandolin solo. We're like, oh my god, no,

1176
01:04:38,920 --> 01:04:41,480
Speaker 4: we haven't rip.

1177
01:04:42,840 --> 01:04:45,440
Speaker 1: Okay, it is this song though under.

1178
01:04:47,720 --> 01:04:50,080
Speaker 4: No no no, no, no, no, no, no no no.

1179
01:04:51,480 --> 01:04:57,520
Speaker 1: Italian Italian? Is that the one that goes time to

1180
01:04:58,160 --> 01:05:00,880
Speaker 1: say goodbye? Or is had an anga song.

1181
01:05:02,120 --> 01:05:16,040
Speaker 2: No you're talking about Mai anyway that plays.

1182
01:05:16,080 --> 01:05:18,200
Speaker 4: We really need a deep voice, Jack for this one.

1183
01:05:18,520 --> 01:05:21,240
Speaker 2: Yeah, fuck, we're gonna go out on this track. It's

1184
01:05:21,240 --> 01:05:24,400
Speaker 2: called Duana w A n A by Nor n O.

1185
01:05:24,600 --> 01:05:28,000
Speaker 2: You are. I don't know what language this is because Jack,

1186
01:05:28,040 --> 01:05:29,360
Speaker 2: I don't know if you mean. I know you were

1187
01:05:29,400 --> 01:05:32,760
Speaker 2: talking about it in our document about like language is

1188
01:05:32,840 --> 01:05:35,760
Speaker 2: like foreign language songs and how noible songs are.

1189
01:05:36,040 --> 01:05:38,920
Speaker 1: I was talking about how like I memorize lyrics that

1190
01:05:38,960 --> 01:05:41,560
Speaker 1: I have completely wrong in my head, and how like

1191
01:05:41,720 --> 01:05:45,840
Speaker 1: just the feeling of the voice, like sometimes I prefer

1192
01:05:46,600 --> 01:05:49,480
Speaker 1: having like not knowing what is being said. And I've

1193
01:05:49,480 --> 01:05:51,960
Speaker 1: been listening to a lot of Spanish language music lately

1194
01:05:52,200 --> 01:05:53,000
Speaker 1: with that mind.

1195
01:05:53,520 --> 01:05:57,480
Speaker 2: Yeah. So, yeah, this is Nor. She's actually from Egypt,

1196
01:05:57,680 --> 01:05:59,640
Speaker 2: and you know it's like a mix of like English

1197
01:05:59,640 --> 01:06:03,320
Speaker 2: and Arab lyrics, but like the it's just I don't know, man,

1198
01:06:03,320 --> 01:06:06,240
Speaker 2: I'm just loving all music coming across out from all

1199
01:06:06,240 --> 01:06:09,480
Speaker 2: over the world because it's it's just so damn good

1200
01:06:09,480 --> 01:06:12,160
Speaker 2: and we're probably only six degrees of separation Nor you

1201
01:06:12,240 --> 01:06:14,160
Speaker 2: and I, so I invite you to come on. But anyway,

1202
01:06:14,160 --> 01:06:17,200
Speaker 2: this is Nor with Wanna really dope really dope track.

1203
01:06:17,680 --> 01:06:19,600
Speaker 1: All right, well, we will link off to that in

1204
01:06:19,640 --> 01:06:22,400
Speaker 1: the footnotes. The Daily Zeitgeis is a production of iHeart

1205
01:06:22,520 --> 01:06:24,920
Speaker 1: Radio from our podcasts from iHeart Radio, visit the iHeart

1206
01:06:24,960 --> 01:06:28,680
Speaker 1: Radio app Apple podcast where your you listen to your

1207
01:06:28,720 --> 01:06:32,480
Speaker 1: favorite shows. That's gonna do it for us this morning.

1208
01:06:32,560 --> 01:06:34,680
Speaker 1: We are back this afternoon to tell you what is trending.

1209
01:06:34,680 --> 01:06:39,920
Speaker 1: Oh yeah, talk to y'all. Boy bye,