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Speaker 1: Hello the Internet, and welcome to season nine, episode four

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Speaker 1: of j Le's Eight Guys, a production of I Heart Radio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into America's shared consciousness and say, officially, off the top,

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Speaker 1: fuck Coke Industries and fuck Fox News. It's Thursday, August nine, tea.

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Speaker 1: My name is Jack O'Brien, ak Bigley, Bigley big Ley.

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Speaker 1: Can't you see sometimes your tweets just cafe fae me

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Speaker 1: and I just love your fashy ways. I guess that's

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Speaker 1: why I'm broking your social circles. So paid uh, ellipsies,

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Speaker 1: I'm drunk. That's courtesy of Stringy Magoo, and I'm trilled

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Speaker 1: to be joined as always by my co host, Mr

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Speaker 1: Miles MGB Cushion down on the Hottest lad I'll tell

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Speaker 1: your mother, y'all gets I'll go pound. It's like I'll

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Speaker 1: do it now. I'm swishing mounds and if you ain't,

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Speaker 1: that's good. You simply must go now. Okay, Uh, there

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Speaker 1: wasn't a beat because, truth be told, we're actually in

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Speaker 1: a very secret location today. We're in the hotel suite

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Speaker 1: of our guests, which will reveal later. But our guests

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Speaker 1: was a very big act invited us to their hotel room, said, look,

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Speaker 1: I can't make the show, but if you guys come

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Speaker 1: up to my suite right we can get this thing going.

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Speaker 1: So I don't have the music right now. That's my explanations.

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Speaker 1: The credit for the ak just t d Z A

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Speaker 1: case tried Kang. Thank you for that one. Thanks everybody

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Speaker 1: who keeps sending the missy elliot a kas And we'll

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Speaker 1: have a new challenge for next week. Tomorrow you said yesterday, man,

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Speaker 1: I hope that missed me and her stuff isn't true. Yeah,

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Speaker 1: she seems like a nice gotta she's got a bright

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Speaker 1: future ahead of her. Yeah. Yeah, well, I guess we

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Speaker 1: can reveal it now. We're thrilled to be joined by

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Speaker 1: our third guest, uh, the touring comedian Mr Nick that

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Speaker 1: rack Do I need a song after? Yes, I could

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Speaker 1: try to do a song. My name is Nick V

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Speaker 1: and I rock the part apart from more Burt Burt

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Speaker 1: from that was sent to me by my mom. Wow. Yeah,

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Speaker 1: I thought it was a little bit mature, but you know, hey,

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Speaker 1: you'm not gonna that would be weird if you farted

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Speaker 1: and it was a burb sound like you lifted your

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Speaker 1: legs for food. Yeah, what's just farting? That's cool? That

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Speaker 1: which movie grosser that are farting out of your mouth? Yeah,

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Speaker 1: people are gettart sands with their mouths. It doesn't Yeah,

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Speaker 1: it doesn't much of a stretch, but if you could,

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Speaker 1: it doesn't much of a stretch for me either, Just

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Speaker 1: like guttural burpy from your butt, Like yeah, because there's

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Speaker 1: vocal cords, Like it applies the presence of vocal collecting

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Speaker 1: your ass to get the resonance, like you have your

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Speaker 1: lungs obviously for a birth, but like, what's that void

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Speaker 1: in your body? I hope there's still Like news junkies

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Speaker 1: who listened to the show was like, where did this

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Speaker 1: is this man? What happened to these guys? Second? Right,

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Speaker 1: all right, I want to talk about more serious conversation. Well,

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Speaker 1: these are the things that come up and we entertain

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Speaker 1: them out of my ass. All right, Nick, we're going

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Speaker 1: to get to know you a little bit better in

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Speaker 1: a moment. First, we're gonna tell our listeners a few

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Speaker 1: of the things we're talking about, such as the new

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Speaker 1: Joker trailer. We're gonna talk about where the president is

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Speaker 1: that and just how he's thinking about the election, the

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Speaker 1: latest polling in the Democratic side of the race. Uh,

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Speaker 1: and just all sorts of ship today and Becky KFC

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Speaker 1: all the hits. But first, Nick, we like to task

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Speaker 1: our guess. What's something from your search history that's revealing

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Speaker 1: about who you are? Um? I just looked up the

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Speaker 1: and edema I just want to be and apparently I've

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Speaker 1: got that an enema confused, right? Uh. The etymology of defenestration,

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Speaker 1: which sounds like a Smashing Pumpkins album. Yeah, defenestration, I was,

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Speaker 1: I don't know, I came up. I don't know for

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Speaker 1: some reason I came across. I was just thinking about

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Speaker 1: defenestration of wondering if it was common knowledge that it was,

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Speaker 1: you know, throwing somebody out of window. It feels like

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Speaker 1: it's always a word that people say when they're trying

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Speaker 1: to part of somebody. With words like if you do

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Speaker 1: an improv show, you guess suggestions, there's always that. Yeah, yeah,

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Speaker 1: you've heard of it too. You know they think they're

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Speaker 1: gonna just, you know, blow your mind. Yeah, defenstration sounds

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Speaker 1: like it should be to me. My brain always wants

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Speaker 1: it to be like somebody getting their stomach cut open.

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Speaker 1: Is that defenstration. Yeah, yeah, I think it's probably because

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Speaker 1: it has like some of the same valves as evisceration.

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Speaker 1: But yeah, it seems like it needs to be way

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Speaker 1: more intense than right, well, I guess getting thrown out

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Speaker 1: of windows pretty intense depending on what the window was. Um,

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Speaker 1: was it a brand Stark type situation? Right, because fucking

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Speaker 1: change a lot for you. Would that even be considered

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Speaker 1: defenestration because he was just kind of pushed backwards, right,

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Speaker 1: he was a yeah, and he was being a creep

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Speaker 1: to be honest, I know, he was just watching people

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Speaker 1: have sexted together. Brand really weird if it cuts to

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Speaker 1: him and he's like, oh yeah, and then afterwards like

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Speaker 1: Ned starts like what then is going on? Man? What

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Speaker 1: were you doing? Give it to her man as he's

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Speaker 1: fallen to right. Yeah, anyway, so what is the enimal? Well? Uh,

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Speaker 1: what's funny? Is it? Like? It? It seems to First

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Speaker 1: of all, I thought it'd be like this crazy story

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Speaker 1: because I'd come across this thing called the Defenstration of Prague,

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Speaker 1: which apparently in Prague there was these three three times

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Speaker 1: defenistration happened, and it was the equivalent of like overthrowing

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Speaker 1: some sort of like government or higher up. So if

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Speaker 1: it seems to be um, that's what I got out

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Speaker 1: of it. Um. And I thought, I thought, oh, maybe

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Speaker 1: it's off the Bobby defeni strate. You know, I don't

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Speaker 1: know there's bobbies back there, you know, like Richard the defendant. Yeah,

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Speaker 1: it's just it's just it's not because it's such a

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Speaker 1: crazy word. How does it mean that it's not that

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Speaker 1: crazy means wind window and means push out of some Yeah,

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Speaker 1: so it's not as crazy of a story as I

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Speaker 1: was hoping to be. But I just was like looking

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Speaker 1: at like pictures of where apparently the first recorded defenstrations were,

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Speaker 1: and it's interesting. I was like, oh, I guess there

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Speaker 1: wasn't like it was. It looks like this tower. It's

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Speaker 1: like this five story tower in Prague. And I was like, oh,

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Speaker 1: I guess there wasn't tall buildings at one point, and

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Speaker 1: then the first and then they finally had the first

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Speaker 1: tall building, like you can die, they use it to murder. Second,

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Speaker 1: because the first story defenestration is not that's just an inconvenience, Yeah, right, exactly. More,

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Speaker 1: that's called sneaking out of a house when your girlfriend's

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Speaker 1: dad gets home, right, but yeah, full on I guess

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Speaker 1: that's the other thing. It's like whoa gravity huh. Yeah, Like, hey,

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Speaker 1: the higher the window, like the gnarlier the impact when

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Speaker 1: I'm seeing we could really, yeah, you could really and

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Speaker 1: everyone I was like, a five story window, do you

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Speaker 1: everyone they pushed out died? I thought, um, you know,

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Speaker 1: it was just all depends on highland, I think, yeah, yeah,

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Speaker 1: I don't think because no one had fallen out of

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Speaker 1: the window before, so no one how to do it right. Yeah,

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Speaker 1: you gotta roll. You gotta watch in those parkour videos,

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Speaker 1: those guys. Uh, some of the drops those guys take

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Speaker 1: I'm pretty impressed with. Yeah, they go out of stories.

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Speaker 1: I don't know if they're full on five story in it,

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Speaker 1: but like there's some like gnarly thirty ft drops I

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Speaker 1: see people like like roll out of and you're like

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Speaker 1: my ankles shattered, like watching the video and I'm like,

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Speaker 1: I wonder, yeah, I wonder if the saying don't throw

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Speaker 1: the baby out with the bathwater was just kind of

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Speaker 1: like light vice, like you don't want to do that

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Speaker 1: because it's incond you have to go get the baby,

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Speaker 1: instead of being like the baby is gonna die, ye,

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Speaker 1: now remember, guys, you're not gonna want to. I thought

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Speaker 1: that somebody survived the defenistration of Prug because they landed

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Speaker 1: in horseship, But that might be a different defenistry maybe.

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Speaker 1: I I only read about the first defenistration and I

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Speaker 1: stopped reading after. That's one of my you know, so

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Speaker 1: they're just it's one of my favorite details that were

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Speaker 1: raised from history is that everything was covered in ship,

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Speaker 1: either horseshit or human ship. Right, People died from being

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Speaker 1: swept away in rivers of ship back in history, like

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Speaker 1: all the time, I mean people, you know, right now,

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Speaker 1: everyone's always like this is the worst it's ever been,

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Speaker 1: and things are very bad right now. But I sometimes

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Speaker 1: think about it's not just there's not just ship everywhere.

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Speaker 1: That was I think a little bit worse. If you

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Speaker 1: want to brighten your day, yeah, we think yourself back

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Speaker 1: to the dark ages. There's arm thinking, but better technolog right,

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Speaker 1: what is something you think is overrated? Boycotts? Boycott, It's

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Speaker 1: just a new boycott every week. Now. I was making

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Speaker 1: fun of the Jimmy Jones boycott because there's a Jimmy

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Speaker 1: John John boycott because well, some some photos surfaced from

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Speaker 1: three um is that really what it's from. The elephant

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Speaker 1: one was from there's a big hunting photos, right, that's

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Speaker 1: the Jimmy Johns And you know, it's just we're we're

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Speaker 1: a culture that just digs up, you know, like old

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Speaker 1: things with people. Now I understand people. I think the

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Speaker 1: big game hunting is stupid and I think those people

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Speaker 1: are monsters. But I just thought it was I just

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Speaker 1: thought it was funny. And there's there's probably been more

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Speaker 1: pictures since then. There's a very weird picture of him,

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Speaker 1: like naked humping a shark that he's killed, and it's

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Speaker 1: very very disturbing. Canceled him for that one, but I

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Speaker 1: just think it's funny that he His service is a

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Speaker 1: dead animal store, Right, you go and buy dead animals

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Speaker 1: and eat them, and people are like, I'm not I've

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Speaker 1: had enough you killed animals. Well, I'm not gonna eat

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Speaker 1: your dead animals anymore. You're shaved animals, deliciously seasoned shaved

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Speaker 1: animal flesh. Yeah, I guess that's the that's the funny thing,

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Speaker 1: right now. That Twitter and you know, cancel culture have

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Speaker 1: like created just an onslaught of boycotts. Like I didn't

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Speaker 1: even know Olive Garden was getting boycott until yesterday when

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Speaker 1: we were talking about it on the show and who's

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Speaker 1: eating an olive garden? I want to boycott diarrhea. I

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Speaker 1: want to be like I heard diarrhea donated to the

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Speaker 1: Repblican Party, so I have no more diarrhea. Hashtago. They're

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Speaker 1: boycotting things that like, you're not even doing. I don't

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Speaker 1: know if the people going in and out and the

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Speaker 1: people going to Equinox are not the same people. You know,

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Speaker 1: they're not You're not, um people boycotting Fox News. You're

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Speaker 1: not watching Fox News anyway? Right? Well, I think that

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Speaker 1: what the pressure needs to be. I think, like especially

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Speaker 1: with Fox, I think it is good to lean on

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Speaker 1: those advertisers because they're essentially the ones putting the money

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Speaker 1: up to platform like this terrible hate speech and somebody

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Speaker 1: did pull out of Tucker Carlson. I think this past weeks. Yeah, Dell, Yeah, yeah,

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Speaker 1: so that I mean, you know, I I but it's

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Speaker 1: like it's just it's just I think it's obnoxious when

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Speaker 1: it's every single thing, and it's also like, um, you

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Speaker 1: know they found like I don't know, you if you

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Speaker 1: look at every everything is tainted. You know, people are

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Speaker 1: tweeting some their Apple phones that you know that that's

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Speaker 1: you know, you're tweeting from a phone or you're using

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Speaker 1: Facebook that donated to you know, everyone involved in every

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Speaker 1: company seems to have donated to something that you don't

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Speaker 1: like or done something you don't like. So you just

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Speaker 1: if you really to be like, well, I pick these,

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Speaker 1: I'm gonna boy cut these and not these other ones.

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Speaker 1: It's sort of like you gotta boycott. You can't do

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Speaker 1: anything terribly, like the only solution is to completely remove

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Speaker 1: yourself from the capitalist system. But like sort of yeah,

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Speaker 1: but then how do you survive? Like do you have

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Speaker 1: a fucking you know, like you become a yeoman farmer

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Speaker 1: and we're homespun clothing. Maybe I'm not good on a loom,

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Speaker 1: but I'll try. But also the looms clean. But these

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Speaker 1: jerseys ain't gonna weave themselves, you know what I mean.

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Speaker 1: Let's that's that's for sure. It's a great country song

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Speaker 1: to themselves. Man. The guy humping the shark uh at

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Speaker 1: least the owner of Jimmy Johns is claiming it's not him.

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Speaker 1: It doesn't really look like him necessarily. It's also been

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Speaker 1: speculated that it is jim mclewaine, the coach of Florida Football.

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Speaker 1: He has denied it as well. Uh, the Shark is like,

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Speaker 1: that's definitely me, that's definitely mean. Are they going to

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Speaker 1: boycott Florida football? Doubt? See, this is what I hate

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Speaker 1: to you. You have all these pictures circling you don't

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Speaker 1: know if it's even real or not, you know. And

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Speaker 1: also like I was looking it up and like each

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Speaker 1: I was just thinking, like, okay, so you're gonna boycott

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Speaker 1: all these like um these franchises where these like people

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Speaker 1: like take these loans out, you know, and they franchise

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Speaker 1: the store. They're trying to make money. They have a

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Speaker 1: fan like they didn't do anything wrong. Jimmy John himself,

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Speaker 1: if that is his name, he only gets I think

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Speaker 1: it was six Okay, someone's skeptical. You're like, we never know,

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Speaker 1: but you're gonna believe that's not his name. Okay, and

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Speaker 1: it's actually Jimmy Jonathan. Okay, James Jonathan, but that's not

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Speaker 1: gonna sell. But like he only takes six percent of

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Speaker 1: all these of every story. So if you're if you're

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Speaker 1: you're really screwing over these franchise owners and these people

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Speaker 1: that aren't rich or you know, are just trying to

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Speaker 1: trying to have an American name, and I don't know,

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Speaker 1: it feels like you're you're you're punishing the wrong people.

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Speaker 1: I think is right now to people feel particularly powerless

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Speaker 1: over like the state of things in the country and

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Speaker 1: like society, so like in these weird ways. That's the

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Speaker 1: way people are exercising power. And I think it's coming

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Speaker 1: from the right place, but it's not necessarily the best

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Speaker 1: use of it or the most effective use of it.

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Speaker 1: And yeah, but I but I also understand why people

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Speaker 1: are so desperate to find things to latch on and

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Speaker 1: be like yep, and that's the way I can sort

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Speaker 1: of take my power back because right now I'm looking

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Speaker 1: at everything that's happening with the government or whatever, like

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Speaker 1: there isn't I have to wait till November to vote.

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Speaker 1: It's like so fucking canceled Olive Garden now. Then, yeah,

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Speaker 1: it is we feel powerless that it feels like you're

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Speaker 1: doing something. Um oftentimes it's counter productive. I mean I

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Speaker 1: know when um, like like when the Nike boycott happened,

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Speaker 1: Nike had they sold more shoes that quarter than they

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Speaker 1: did because it's like people, the people were boycotted, so

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Speaker 1: you know, I think the right boycotted it, so the

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Speaker 1: left was like, well, screw that, We're gonna buy even

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Speaker 1: more in supports even more so. It actually if they

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Speaker 1: had not boycotted, you know, done is good. Yeah. I

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Speaker 1: think boycott's on the right are actually counterproductive for they

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Speaker 1: typically they make the brand look cool, Yeah, sold way more.

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Speaker 1: It's actually a great strategy for a product to like

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Speaker 1: go super left wing. That's why I mean, have the

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Speaker 1: right BOYCOTTSA and the Nike you know, signed Colin Kaepernick

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Speaker 1: to and like made him the spokesperson of their company.

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Speaker 1: Probably not out of sheer altruism, No, we yeah, we

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Speaker 1: definitely brought that right. They are savvy business sprit right, Yeah.

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Speaker 1: They this is going to piss off Trump supporters, the

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Speaker 1: company that famously like wouldn't build uh, you know, a

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Speaker 1: factory in Flint, Michigan, and that Michael Moore documentary and

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Speaker 1: all of a sudden, they're good people. I don't know

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Speaker 1: as I'm saying. And what is something you think is underrated?

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Speaker 1: I think the amish I was thinking about it and

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Speaker 1: go off. I just I think the I think it's underrated,

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Speaker 1: and I think we kind of uh danced danced near

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Speaker 1: it a second ago with with the Loom, you know,

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Speaker 1: like it's it's it's simpler, I was the no technology

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Speaker 1: thing is like, for instance, I did a show the

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Speaker 1: other night and my phone's like froze up during the

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Speaker 1: show and I needed it for this thing, and or

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Speaker 1: you know, I'm so much technology. I'm on the phone

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Speaker 1: with this. Like you know, when their wagon wheel breaks,

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Speaker 1: they never have to be on hold with customer service

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Speaker 1: for an hour trying to figure out why the wagon

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Speaker 1: wheel doesn't work exactly, like time to fix the fucking wheel. Yeah,

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Speaker 1: and it's simple enough, You're not like, because so many

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Speaker 1: times you have everything technology, like okay, I did it,

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Speaker 1: I did all the things, why is it still not working?

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Speaker 1: You know, and you start losing your mind and it's

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Speaker 1: like the wagon wheel it's broken, Well, that's it's because

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Speaker 1: it's in pieces, or it's on fire, or you know,

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Speaker 1: it needs to be reinforced. Yeah, yeah, and we go

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Speaker 1: on amish, Yeah, let's do it. Yeah. I think that's

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Speaker 1: not smart business decision. Shouting out the window. That's the podcast,

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Speaker 1: just screaming at the top of your lungs. The Barn

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Speaker 1: Raisings are the thing that's always impressed me about the

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Speaker 1: Amish that they'll just have like everybody come to a

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Speaker 1: field to build a barn in like a weekend. Yeah,

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Speaker 1: and it will be done by the end of the weekend.

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Speaker 1: Just everybody builds it. I mean based on the TV show,

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Speaker 1: was it breaking, I'm not sure whatever, it's always interesting

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Speaker 1: to people who though that show is absurd and stage

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Speaker 1: but hilarious. But like the people who are like leaving,

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Speaker 1: it's kind of interesting when you see the people who

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Speaker 1: get hitch so hard to be like everything is like

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Speaker 1: like you know, modern society has been mothered so hard

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Speaker 1: that like I can't help but to go there. But

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Speaker 1: maybe we're like reverse Amishing it. We're like, dude, I'm

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Speaker 1: tired of this modern world. Yeah, I think me. I

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Speaker 1: can't grow a beard when Amish kids at sixteen do

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Speaker 1: their rum springer and like come and live in our world,

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Speaker 1: our sixteen year old should have to go live Amish. Yeah. Yeah,

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Speaker 1: anyone who lives out in near Amish country let us know,

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Speaker 1: you know people listen. Yeah, well you know I know

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Speaker 1: people people out there in Amish. You know p Star

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Speaker 1: Boy who was smoking out Amishing Amish. So if you're

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Speaker 1: out in amious big goings. Let us know what a

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Speaker 1: fucking genius that was. It's just like video this dude

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Speaker 1: smoking a blunt like in a and field and he's

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Speaker 1: like smoking big Donks in Amish and he just keeps

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Speaker 1: saying and he's like hitting this blunt. He's like gang.

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Speaker 1: At the end, it's like over, he's dead. Because I was.

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Speaker 1: He became like kind of an internet celebrity meme guy.

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Speaker 1: And then when he died, people like the big Donks

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Speaker 1: in Amagh. Dude died get some kind of like long complex,

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Speaker 1: some kind of respiratory complications. That sucks because that's completely

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Speaker 1: related to I don't know, man, I don't want to speculate,

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Speaker 1: because then I have to think about my own blunt smoking,

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Speaker 1: you know, and then what am I going to die

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Speaker 1: from it? I mean, but you don't have a lung

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Speaker 1: situation that your brand is directly under. I don't have

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Speaker 1: a lung situation that positive thinking can't hear. That's right,

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Speaker 1: that's what we've always said. You can also switch to

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Speaker 1: edible blunts. Yeah, that's way better than if your lungs

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Speaker 1: are bad. I roll up. They're like damn hell yeah,

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Speaker 1: don't Yeah, what is a myth. What's something people think

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Speaker 1: it's true? You know, to ghosts? Okay, ghosts, just give

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Speaker 1: me a break, is it now? Are you someone who

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Speaker 1: has been just led on by ghosts or for so

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Speaker 1: long you're like, you know what, I tried, and I'm

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Speaker 1: just done. I done with you. It's one of these

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Speaker 1: things where I just I don't get why people buy

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Speaker 1: into it so hard or believe it. It's just it's

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Speaker 1: one of these things that just as they're telling me

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Speaker 1: the story, the story itself doesn't make sense. If you

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Speaker 1: have you ever heard this, Okay, have you ever heard this?

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Speaker 1: There's like, I don't know if it's like a wive's

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Speaker 1: tale or rumor have you ever heard the story about

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Speaker 1: the person dog sitting and and the dog dies and

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Speaker 1: the family tells them, okay, well you can put the

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Speaker 1: dog in the suitcase and take it to this place

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Speaker 1: and drop it off to get it dog cremated or whatever.

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Speaker 1: I've heard this story from a couple of different people.

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Speaker 1: I've never heard. So the dog comes back to life.

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Speaker 1: The dog is a giant Great Dane or it's this

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Speaker 1: always this big dog, and they had to put in

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Speaker 1: this big suitcase and they had to put in a

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Speaker 1: suitcase because there was nothing else to put. The dog

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Speaker 1: was going to say like dogs that it gets weird. Yeah,

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Speaker 1: And it was just like and they take it um

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Speaker 1: when it was big blue ikea baggs Yeah, shopping wheel,

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Speaker 1: yeah yeah, because you don't have a big suitcase the suitcase.

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Speaker 1: But every time they tell the story, they talk about

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Speaker 1: how how heavy this suitcases and lugging it around and

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Speaker 1: they just just they got to take the train and

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Speaker 1: take the train to the city and take it in

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Speaker 1: this this and then they're on the corner and they're

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Speaker 1: like trying to like figure out where they are, and

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Speaker 1: somebody comes by and steals the suitcase and runs off

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Speaker 1: with it. And if every time I hear that story,

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Speaker 1: it's like, if this suitcase was so heavy, did someone

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Speaker 1: just pick it up and run off with this giant

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Speaker 1: su super strong dude, The story doesn't make sense. And

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Speaker 1: that's this is what I feel about the end of

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Speaker 1: the story. This is the that's the end of the

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Speaker 1: store and the like. So that person got home open up,

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Speaker 1: but it was a giant dog and it's just like,

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Speaker 1: you dumb a story. And this is how I feel

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Speaker 1: about ghosts. Every time people tell me a story about

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Speaker 1: a ghost, and it just logic doesn't make sense. I've

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00:21:09,440 --> 00:21:11,920
Speaker 1: never seen a ghost in a Walgreens. People have died

382
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Speaker 1: in Walgreens. How many people have died a lot of

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00:21:15,480 --> 00:21:19,040
Speaker 1: people died in Mountain. I don't see a ghost on Goliath.

384
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Speaker 1: Died on Goliath. How come there's there's never ghosts on intersections.

385
00:21:23,000 --> 00:21:25,800
Speaker 1: People die on the highway. There's there's flowers, there's those

386
00:21:25,800 --> 00:21:28,760
Speaker 1: white bikes all over the place, there's you all these

387
00:21:28,760 --> 00:21:31,520
Speaker 1: memorials of where people have died. There's never ghost. Ghost

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Speaker 1: don't like the daytime. They don't like they are only ghost.

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Speaker 1: That's that's so stupid ghost or not, Like Okay, it's

390
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Speaker 1: only come out when it's super ghost. Only come out

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Speaker 1: when it's super spooky when nobody else is around in

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Speaker 1: a place that's already like and there's no other people

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Speaker 1: to back you up exactly, And then most would be like,

394
00:21:47,280 --> 00:21:51,040
Speaker 1: well that door did close suddenly, Like okay did it?

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Speaker 1: It's like your energy though you have like a YouTuber

396
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Speaker 1: who like debates people on whether ghosts exist coming they

397
00:22:00,119 --> 00:22:02,840
Speaker 1: only come out and they're spooky, and they never It

398
00:22:02,880 --> 00:22:08,359
Speaker 1: doesn't make sense, So I just love it. It gets

399
00:22:08,800 --> 00:22:10,399
Speaker 1: it's the one thing. I'm very bad, but you have

400
00:22:10,520 --> 00:22:12,600
Speaker 1: like that the vibe though of someone who kind of

401
00:22:12,680 --> 00:22:14,960
Speaker 1: wants a ghost to exist, but you've been so disappointed

402
00:22:17,280 --> 00:22:21,160
Speaker 1: a friend, friend, this mortal plane. Don't we all want that?

403
00:22:21,160 --> 00:22:24,440
Speaker 1: That would be great man. Uh So, do you believe

404
00:22:24,840 --> 00:22:29,000
Speaker 1: people who think they've seen ghosts? Do you think they're lying?

405
00:22:29,160 --> 00:22:31,560
Speaker 1: Or do you think they just believe they've seen a ghost?

406
00:22:31,680 --> 00:22:33,879
Speaker 1: Did they believe it? But that's what's that's what's crazy

407
00:22:33,920 --> 00:22:35,800
Speaker 1: to me is that they they're in a place where

408
00:22:35,800 --> 00:22:39,399
Speaker 1: their mind could play tricks on them, you know, and uh,

409
00:22:39,480 --> 00:22:41,119
Speaker 1: you know it's in there. It's always like in an

410
00:22:41,160 --> 00:22:44,240
Speaker 1: old place, you know, to the idea that a ghost

411
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Speaker 1: is walking around going I'm gonna I'm gonna turn the

412
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Speaker 1: lights off. They don't real qui you know, like that's

413
00:22:48,520 --> 00:22:51,960
Speaker 1: how you're gonna go go step your game up? Dude.

414
00:22:52,040 --> 00:22:55,080
Speaker 1: I don't know. But on a show, they're always make

415
00:22:55,119 --> 00:22:57,600
Speaker 1: a basketball move crazy in air like in a game,

416
00:22:57,640 --> 00:23:01,640
Speaker 1: like so much was in the Other Angels in the Outfield.

417
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Speaker 1: I mean that has happened that documentary and The Sixth

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Speaker 1: Man with Cadem Hardison again a ghost? Hell? Is that

419
00:23:09,480 --> 00:23:12,800
Speaker 1: a ghost? Basketball? Wait? Angels happen. Those aren't ghost of

420
00:23:12,840 --> 00:23:17,160
Speaker 1: those are angels bad? But so where does that? Definitely

421
00:23:18,800 --> 00:23:24,640
Speaker 1: don't get me. The angels say somebod angels now ghosts

422
00:23:24,720 --> 00:23:27,119
Speaker 1: fuck them? I mean, how how come I ghost just

423
00:23:27,160 --> 00:23:29,119
Speaker 1: never just grabs a bunch of like you're eating a

424
00:23:29,160 --> 00:23:30,840
Speaker 1: bowl of cheese pups and it just throws all the

425
00:23:30,920 --> 00:23:33,280
Speaker 1: cheese pups in your face or yeah, I mean that's

426
00:23:33,320 --> 00:23:37,399
Speaker 1: why it moved that it moved yours. But people feel

427
00:23:37,400 --> 00:23:40,600
Speaker 1: so stupid telling that story that they're just like, I

428
00:23:40,640 --> 00:23:43,240
Speaker 1: guess I can't, like, that's not a good ghost story.

429
00:23:43,560 --> 00:23:46,240
Speaker 1: So you only hear about the ones who's like a

430
00:23:46,320 --> 00:23:49,160
Speaker 1: child was like hovering over me when I woke up

431
00:23:49,160 --> 00:23:52,800
Speaker 1: and whispered. People it's like we actually all have ghost

432
00:23:52,840 --> 00:23:59,280
Speaker 1: stories just too embarrassing, like ghost my pants. You wouldn't

433
00:23:59,280 --> 00:24:06,639
Speaker 1: believe it if I all right, well we've busted some

434
00:24:06,720 --> 00:24:08,760
Speaker 1: myths here. We're gonna take a quick break. We'll be

435
00:24:08,840 --> 00:24:23,359
Speaker 1: right back and we're back, and uh, just briefly up top,

436
00:24:23,400 --> 00:24:26,919
Speaker 1: there's a new Joker trailer out for the new uh

437
00:24:27,119 --> 00:24:31,960
Speaker 1: Joaquin Phoenix Joker film, directed by Todd Phillips, maker of

438
00:24:32,000 --> 00:24:34,600
Speaker 1: The Hangover. That was the thing that was like making

439
00:24:34,640 --> 00:24:37,639
Speaker 1: me like that's kind of a weird fit. You know,

440
00:24:37,840 --> 00:24:40,679
Speaker 1: I don't know, he hasn't really made a serious movie.

441
00:24:40,760 --> 00:24:44,240
Speaker 1: This looks very serious. What has he made since, like

442
00:24:44,320 --> 00:24:50,199
Speaker 1: Star Ski and Hutch the Hangover movies? Oh right, But

443
00:24:50,320 --> 00:24:53,760
Speaker 1: then in my mind, my mind singing old School even

444
00:24:53,800 --> 00:24:55,520
Speaker 1: though you said Hangover, I know that was like one

445
00:24:55,560 --> 00:24:58,399
Speaker 1: of his first films. I mean, he's made some fucking

446
00:24:58,480 --> 00:25:02,160
Speaker 1: classic movies that you are all comedies, and then he's

447
00:25:02,240 --> 00:25:05,720
Speaker 1: made one like kind of action drama war Dogs. I

448
00:25:05,760 --> 00:25:10,040
Speaker 1: think we all remember war Dogs. Loved it, but yeah,

449
00:25:10,160 --> 00:25:12,400
Speaker 1: I don't know. Everybody like it's getting a lot of

450
00:25:12,440 --> 00:25:17,280
Speaker 1: good advanced buzz. It Premier to Venice and Toronto and

451
00:25:17,560 --> 00:25:20,960
Speaker 1: was like at all these film festivals people seem to

452
00:25:21,040 --> 00:25:23,480
Speaker 1: like it, but you can't really trust comic book movie

453
00:25:23,520 --> 00:25:27,480
Speaker 1: reviews because people fanboy out on. Well, you can trust

454
00:25:27,560 --> 00:25:31,359
Speaker 1: him when there's a male lead, that's true. That's the

455
00:25:31,480 --> 00:25:36,200
Speaker 1: female leaders are. I don't know social Justice, but I

456
00:25:36,200 --> 00:25:40,080
Speaker 1: don't know jokers. Interest trailers keep getting better. Man the trailers.

457
00:25:40,160 --> 00:25:43,840
Speaker 1: I went from being like, oh cool, Joaquin Phoenix will

458
00:25:43,880 --> 00:25:46,520
Speaker 1: be a joker to this. Then another teaser came out

459
00:25:46,520 --> 00:25:49,240
Speaker 1: and I was like, go on, and now this one,

460
00:25:49,280 --> 00:25:53,280
Speaker 1: I'm like, this might be fucking good, freaky because I

461
00:25:53,280 --> 00:25:55,520
Speaker 1: feel like Joaquin Phoenix is one of those actors who

462
00:25:55,560 --> 00:25:58,680
Speaker 1: like has that he's haunted enough to play the Joker,

463
00:25:59,320 --> 00:26:01,359
Speaker 1: but would be like one of the like an unlike

464
00:26:01,359 --> 00:26:04,040
Speaker 1: Heath Ledger, like where it would affect him. I think

465
00:26:04,080 --> 00:26:06,359
Speaker 1: somehow the Joker would be affected by being played by

466
00:26:06,359 --> 00:26:10,080
Speaker 1: watching right. Yeah, the Joker just can't recover from this.

467
00:26:10,480 --> 00:26:15,200
Speaker 1: I don't know, man, It's like, God, it's fucking weird. Yeah, yeah,

468
00:26:15,240 --> 00:26:18,119
Speaker 1: it does feel like it kind of has a vibe

469
00:26:18,160 --> 00:26:21,000
Speaker 1: of his performance and The Master if it was like

470
00:26:21,119 --> 00:26:24,520
Speaker 1: more on inch like because that performance, like he kept

471
00:26:24,760 --> 00:26:28,720
Speaker 1: being like pulled back to trying to be respectable with

472
00:26:29,440 --> 00:26:32,200
Speaker 1: Philip Moore Hoffman's character, but like this, he just seems

473
00:26:32,240 --> 00:26:37,240
Speaker 1: like it's like that just untethered from anything, sort of

474
00:26:37,400 --> 00:26:40,879
Speaker 1: like a taxi driver vibe to it, almost with like

475
00:26:41,160 --> 00:26:44,240
Speaker 1: in the opening, is he a stand up or something?

476
00:26:44,800 --> 00:26:47,920
Speaker 1: They seem to imply that he was. There's a there's

477
00:26:47,960 --> 00:26:49,919
Speaker 1: a bunch of stand ups I know in the movie.

478
00:26:50,040 --> 00:26:53,520
Speaker 1: I think Gary Goldman's in it. Sam Morrel was telling

479
00:26:53,520 --> 00:26:56,800
Speaker 1: me he shot a thing. Oh I heard maybe Mark.

480
00:26:57,640 --> 00:27:00,080
Speaker 1: I don't know if that's for sure, but um, it

481
00:27:00,119 --> 00:27:02,399
Speaker 1: does seem to be this interesting stand up element in it.

482
00:27:02,840 --> 00:27:05,240
Speaker 1: And uh, it's funny because if you know, if you've

483
00:27:05,280 --> 00:27:07,919
Speaker 1: ever been or done an open mic, a lot of

484
00:27:07,920 --> 00:27:10,880
Speaker 1: those people remind you of somebody who very dark. There

485
00:27:10,960 --> 00:27:14,440
Speaker 1: is a very dark energy to like a bad stand

486
00:27:14,520 --> 00:27:17,160
Speaker 1: up comic at an open mic. Like it's just like

487
00:27:17,240 --> 00:27:19,520
Speaker 1: that is that's like the real fork in the road

488
00:27:19,720 --> 00:27:26,320
Speaker 1: in life a comedy open mic, right, yeah, this but

489
00:27:26,440 --> 00:27:29,160
Speaker 1: this is where you make that decision on this open

490
00:27:29,200 --> 00:27:31,480
Speaker 1: mic stage. I definitely have felt that there's been people

491
00:27:31,480 --> 00:27:33,840
Speaker 1: that if there was not such the culture of open

492
00:27:33,880 --> 00:27:35,639
Speaker 1: mic comedy, that these people would have gone to a

493
00:27:35,760 --> 00:27:39,200
Speaker 1: very dark place because there is a thank goodness a community,

494
00:27:39,280 --> 00:27:41,720
Speaker 1: but it's so many loaners, and it's so many people

495
00:27:41,760 --> 00:27:44,399
Speaker 1: that are very angry and then they come together and

496
00:27:44,720 --> 00:27:47,760
Speaker 1: they do it for the sake of making other people laugh, right, gosh,

497
00:27:47,800 --> 00:27:51,280
Speaker 1: there are some people who's and there's definitely the people

498
00:27:51,320 --> 00:27:55,200
Speaker 1: that still despite that, you know, camaraderie is still found

499
00:27:55,200 --> 00:27:57,200
Speaker 1: a way to kind of creep all the other stand

500
00:27:57,240 --> 00:27:59,919
Speaker 1: ups out. There's a couple of those guys I remember

501
00:28:00,040 --> 00:28:02,920
Speaker 1: being like, whatever happened to so and so, and they

502
00:28:03,040 --> 00:28:05,160
Speaker 1: didn't really tell jokes. They just went upstage and we're

503
00:28:05,280 --> 00:28:08,120
Speaker 1: very angry and yelled and they're like, oh man, yeah,

504
00:28:08,400 --> 00:28:12,440
Speaker 1: Lewis Black is doing pretty well now right. I would

505
00:28:12,440 --> 00:28:16,080
Speaker 1: like to see him as the Joker. But I hadn't

506
00:28:16,080 --> 00:28:20,240
Speaker 1: really thought about the idea of like failed comedian, like

507
00:28:20,359 --> 00:28:25,560
Speaker 1: just like toxic narcissism, like blocked weird. I hadn't really

508
00:28:25,560 --> 00:28:29,439
Speaker 1: thought of that as like tapping into something. Uh until

509
00:28:30,160 --> 00:28:33,639
Speaker 1: like you guys were talking about comedians who actually dressed

510
00:28:33,720 --> 00:28:38,040
Speaker 1: up as the Joker or something. Well, do you want

511
00:28:38,080 --> 00:28:40,320
Speaker 1: to talk about this? Uh, there's a guy I when

512
00:28:40,360 --> 00:28:43,360
Speaker 1: I first moved to this Hollywood area that we're in

513
00:28:43,440 --> 00:28:45,480
Speaker 1: right now, there was a guy that I saw a

514
00:28:45,560 --> 00:28:48,040
Speaker 1: dress as the Joker. You know. But there's a lot

515
00:28:48,040 --> 00:28:51,560
Speaker 1: of characters on Hollywood, you know, people dress Also. I

516
00:28:51,640 --> 00:28:54,800
Speaker 1: see Willy Wonka hopping an Audi t T every day

517
00:28:54,920 --> 00:28:59,160
Speaker 1: after five o'clock. True Fat Batman one of my favorite guys.

518
00:28:59,720 --> 00:29:03,560
Speaker 1: There's there's five of them. Um, but like yeah, but

519
00:29:03,600 --> 00:29:06,160
Speaker 1: then I saw him at Target and I was like, oh,

520
00:29:06,200 --> 00:29:08,960
Speaker 1: I guess he you stopped by Targeting on the way

521
00:29:09,000 --> 00:29:11,920
Speaker 1: home from being the Joker. And then I saw him

522
00:29:12,000 --> 00:29:15,360
Speaker 1: like eating somewhere and I was like, mmmm, this is

523
00:29:15,400 --> 00:29:17,760
Speaker 1: not even anywhere near Hollywood Boulevard. And then I saw

524
00:29:17,840 --> 00:29:19,760
Speaker 1: him like at like an open mic one time, and

525
00:29:19,800 --> 00:29:24,000
Speaker 1: I was like, oh, he just wears the joker. Yeah, well,

526
00:29:24,000 --> 00:29:26,280
Speaker 1: I thought you were talking about someone I knew, because

527
00:29:26,320 --> 00:29:30,640
Speaker 1: I also like someone I've known from my past I

528
00:29:30,680 --> 00:29:33,160
Speaker 1: had not seen in years. And then randomly at a bar,

529
00:29:33,560 --> 00:29:36,400
Speaker 1: this fucking dude dressed as like the Heath Ledger joker

530
00:29:36,480 --> 00:29:38,080
Speaker 1: like came up to me. Was like, what's up, Miles,

531
00:29:38,520 --> 00:29:40,800
Speaker 1: And I looked up at him. I'm like, what's up?

532
00:29:41,600 --> 00:29:43,200
Speaker 1: And he was like, Yo, it's me blah blah blah.

533
00:29:43,200 --> 00:29:46,000
Speaker 1: And I was like, oh shit, I'm like, why are

534
00:29:46,040 --> 00:29:48,000
Speaker 1: you dressed like this? I'm like, are you performing? He's

535
00:29:48,000 --> 00:29:50,360
Speaker 1: like no, man, it's just like kind of a character study.

536
00:29:51,520 --> 00:29:54,080
Speaker 1: And then and then months later I saw someone else,

537
00:29:54,120 --> 00:29:55,760
Speaker 1: a mutual friend. I was like, yo, did you see

538
00:29:55,920 --> 00:29:57,920
Speaker 1: him like I saw him recently? He was dressed as

539
00:29:57,960 --> 00:30:00,560
Speaker 1: a joker and they're like, oh, he's still doing that still.

540
00:30:00,640 --> 00:30:02,920
Speaker 1: I was like, whoa, what do you mean? But I

541
00:30:02,920 --> 00:30:05,480
Speaker 1: don't know if that's no longer the case. It may

542
00:30:05,480 --> 00:30:08,120
Speaker 1: have actually been, but but I don't know, there's I

543
00:30:08,120 --> 00:30:11,000
Speaker 1: think there's just something about the character though, that is very,

544
00:30:11,120 --> 00:30:14,760
Speaker 1: very magnetic. For if you have a certain personality in

545
00:30:14,960 --> 00:30:19,800
Speaker 1: a post Aurora, Colorado society where that guy dressed up

546
00:30:19,840 --> 00:30:21,959
Speaker 1: like the Joker winn and started shooting the place up

547
00:30:22,000 --> 00:30:24,800
Speaker 1: to dress like the Joker. In other situations, it's just

548
00:30:25,520 --> 00:30:27,520
Speaker 1: it's like dressing up like the unit bomber, or you

549
00:30:27,600 --> 00:30:30,840
Speaker 1: dressing up like, you know, any sort of mass murderer.

550
00:30:31,840 --> 00:30:34,680
Speaker 1: It's just it's just sort of I think it's pretty inappropriate,

551
00:30:34,720 --> 00:30:36,800
Speaker 1: to be honest with you, you know, if you're not

552
00:30:36,840 --> 00:30:40,960
Speaker 1: doing strict cosplay in a very defined cosplay setting. Yeah, yeah,

553
00:30:40,960 --> 00:30:43,200
Speaker 1: it would be very you'd be like anybody but the

554
00:30:43,240 --> 00:30:47,840
Speaker 1: guy who killed everybody, you know, like any Robin you know,

555
00:30:48,040 --> 00:30:53,200
Speaker 1: or penguin, you know, like the Penguin. Yeah, it's interesting

556
00:30:53,280 --> 00:30:58,200
Speaker 1: because there's a failed comedy, like somebody who see something

557
00:30:58,280 --> 00:31:01,600
Speaker 1: funny about the world, but like communicate it with the

558
00:31:01,680 --> 00:31:05,040
Speaker 1: outside world, like and there's like sort of a tragic

559
00:31:05,080 --> 00:31:08,880
Speaker 1: element to that that they really identify with this character.

560
00:31:09,000 --> 00:31:14,040
Speaker 1: So yeah, dude, I think this movie is gonna be interesting,

561
00:31:14,800 --> 00:31:17,400
Speaker 1: very angry, That's what I'm trying. I'm just saying, maybe

562
00:31:17,440 --> 00:31:20,160
Speaker 1: you start dressing as the Joker. It will It would

563
00:31:20,160 --> 00:31:22,640
Speaker 1: be a weird look to have my like brown skin

564
00:31:23,040 --> 00:31:25,880
Speaker 1: breaking through it, right, you want to, that's one cost,

565
00:31:25,920 --> 00:31:28,080
Speaker 1: But I'm like, I'll let the white people have that. Yeah,

566
00:31:28,360 --> 00:31:30,960
Speaker 1: it'd be weird if you guys like later on Saw,

567
00:31:31,120 --> 00:31:33,400
Speaker 1: like the Joker guy I'm talking about, and you turn

568
00:31:33,440 --> 00:31:44,600
Speaker 1: around and you're like, wait, that's Nick. That boy was Hey,

569
00:31:44,920 --> 00:31:54,960
Speaker 1: there's some crazy people around here, Joker. That would be amazing,

570
00:31:55,280 --> 00:31:58,280
Speaker 1: Like all right, dude, well you're gonna pay for your

571
00:31:58,320 --> 00:32:03,600
Speaker 1: slurpy or am I working at a seven eleven in

572
00:32:03,640 --> 00:32:07,360
Speaker 1: this story? School? Nick or Joker? Just give me? Let

573
00:32:07,360 --> 00:32:14,880
Speaker 1: me get that quarter pounds spicy big bite whenever the condiments?

574
00:32:15,960 --> 00:32:18,760
Speaker 1: Should we check in with the world, Oh, our president?

575
00:32:18,880 --> 00:32:22,479
Speaker 1: The real joke in the White House? Am I right? Guys?

576
00:32:23,000 --> 00:32:27,280
Speaker 1: I mean circus is really in town? When that guy

577
00:32:28,200 --> 00:32:32,840
Speaker 1: Washington d c am I right, man? What's happening under

578
00:32:32,880 --> 00:32:38,280
Speaker 1: the big Top and I mean Capitol Hill, the dome? There? Uh?

579
00:32:38,920 --> 00:32:41,240
Speaker 1: Three rings? Yeah, what's going on? That three ring circus?

580
00:32:41,280 --> 00:32:49,640
Speaker 1: The executive the legislative in um, Yeah, there's I don't know, man,

581
00:32:50,120 --> 00:32:54,480
Speaker 1: Since last week. I'm look, it's always been this simmering

582
00:32:54,560 --> 00:32:57,600
Speaker 1: of like nonsense, but it gets it's it's been like

583
00:32:57,960 --> 00:33:01,160
Speaker 1: getting a little like I really having trouble following his

584
00:33:01,240 --> 00:33:03,400
Speaker 1: logic paths now, like it's really just kind of like

585
00:33:03,440 --> 00:33:06,960
Speaker 1: he's flailing more than normal. It does seem like it's

586
00:33:06,960 --> 00:33:12,400
Speaker 1: sort of waxism wanes between like a high boil of

587
00:33:13,120 --> 00:33:19,160
Speaker 1: insanity and just you know, complete cluster fuccory, and then

588
00:33:19,680 --> 00:33:21,920
Speaker 1: like things quiet down for a little bit, like the

589
00:33:22,000 --> 00:33:24,680
Speaker 1: people around him get ahold of him or something. But

590
00:33:24,760 --> 00:33:28,320
Speaker 1: I think now that we're like it seem yeah, I

591
00:33:28,320 --> 00:33:31,120
Speaker 1: don't wonder how much that is. He was sweating at

592
00:33:31,160 --> 00:33:35,120
Speaker 1: that conference. I thought that was you sweat horns in

593
00:33:35,120 --> 00:33:38,080
Speaker 1: his face. But like it seems like the polling and

594
00:33:38,160 --> 00:33:43,080
Speaker 1: the economic outlook stuff is what's really beginning to trigger

595
00:33:43,160 --> 00:33:45,400
Speaker 1: him because a lot of these things are in response

596
00:33:45,440 --> 00:33:47,520
Speaker 1: to things that seem to be tangentially connected to the

597
00:33:47,560 --> 00:33:49,719
Speaker 1: idea that people are like there, I don't know how

598
00:33:49,720 --> 00:33:51,959
Speaker 1: long this economy is gonna go with these policies. And

599
00:33:52,000 --> 00:33:55,000
Speaker 1: also like these poll numbers are not great for Trump

600
00:33:55,120 --> 00:33:58,120
Speaker 1: no matter how you cut them. Not again, because we've

601
00:33:58,120 --> 00:34:01,680
Speaker 1: all learned our lesson from just a fucking snapshot of

602
00:34:01,800 --> 00:34:05,080
Speaker 1: what people think in that fucking moment, not all right,

603
00:34:05,520 --> 00:34:08,200
Speaker 1: time to go to bed, y'all. He's getting crushed in

604
00:34:08,239 --> 00:34:11,160
Speaker 1: the polls so recently. You know, when you look at

605
00:34:11,719 --> 00:34:14,360
Speaker 1: the things that he's promised, like, you know, I'm bringing

606
00:34:14,360 --> 00:34:17,600
Speaker 1: the farmland back, I'm putting people back on those factory lines.

607
00:34:17,600 --> 00:34:21,200
Speaker 1: We're getting coal, fucking word raising coal like you've never seen.

608
00:34:21,560 --> 00:34:24,480
Speaker 1: None of that ship has happened. We're building the fucking wall.

609
00:34:24,800 --> 00:34:27,799
Speaker 1: He hasn't done a single thing. So now I think

610
00:34:27,800 --> 00:34:30,400
Speaker 1: of the things that he has um the ability to

611
00:34:30,560 --> 00:34:32,560
Speaker 1: like control the wall is like the one thing I

612
00:34:32,600 --> 00:34:34,920
Speaker 1: guess he feels really fixated on that he can actually

613
00:34:34,960 --> 00:34:38,080
Speaker 1: deliver on. And so now he's directing people security to

614
00:34:38,120 --> 00:34:42,680
Speaker 1: build the fucking wall no matter what by election day.

615
00:34:42,880 --> 00:34:45,319
Speaker 1: You know, the one of the things that liberals need

616
00:34:45,400 --> 00:34:49,600
Speaker 1: to understand as far as why people are going to

617
00:34:49,680 --> 00:34:52,640
Speaker 1: continue to support him, is it was that he pulled

618
00:34:52,680 --> 00:34:54,680
Speaker 1: out a NAFTA. You know, he got out of the

619
00:34:54,719 --> 00:34:57,440
Speaker 1: Paris Accords, he got out of the Iran Deal. He

620
00:34:58,200 --> 00:35:01,560
Speaker 1: fulfilled a lot of these promises, and this is and

621
00:35:01,600 --> 00:35:04,839
Speaker 1: he's gonna run on that. He's gonna like run into

622
00:35:04,880 --> 00:35:07,840
Speaker 1: the ground. The promises he did do The Wall is

623
00:35:07,880 --> 00:35:10,120
Speaker 1: like the last promise that he he you know, the

624
00:35:10,120 --> 00:35:12,960
Speaker 1: Obamacare thing's done. You know, he can't do anything. Hen't

625
00:35:13,000 --> 00:35:14,960
Speaker 1: forget about that yet. Yeah, he's gonna blame McCain for

626
00:35:14,960 --> 00:35:17,719
Speaker 1: that forever. But the Wall is like the one promise

627
00:35:18,239 --> 00:35:20,680
Speaker 1: that he's gonna he has to like make them feel

628
00:35:20,760 --> 00:35:23,760
Speaker 1: that he's going to like that's why this He's gonna

629
00:35:23,960 --> 00:35:26,000
Speaker 1: continue to do this thing. You know what really kills

630
00:35:26,040 --> 00:35:28,480
Speaker 1: me is the you know, you take his lowest approval

631
00:35:28,600 --> 00:35:30,880
Speaker 1: rating and as highest approval rating, and it's what eight percent,

632
00:35:31,800 --> 00:35:33,920
Speaker 1: who is this eight percent of the country that's just

633
00:35:34,080 --> 00:35:36,319
Speaker 1: day to day is changing their mind on this guy,

634
00:35:36,400 --> 00:35:42,400
Speaker 1: like back on board guys, right, Yeah, the you know,

635
00:35:42,440 --> 00:35:44,560
Speaker 1: even when you say that like he may say that

636
00:35:44,600 --> 00:35:47,239
Speaker 1: he made good on those promises. It's gonna be tough

637
00:35:47,280 --> 00:35:49,640
Speaker 1: because there's a lot of articles coming out of like

638
00:35:50,000 --> 00:35:52,359
Speaker 1: the farm belt basically that are like I don't know

639
00:35:52,560 --> 00:35:56,160
Speaker 1: a single farmer who like has not been really negatively affective.

640
00:35:56,160 --> 00:36:00,320
Speaker 1: Sure something like major like these gigantic farms po sibly

641
00:36:00,400 --> 00:36:03,040
Speaker 1: because they're getting the subsidies, but they're like the farming

642
00:36:03,080 --> 00:36:05,600
Speaker 1: thing is really starting to weigh on just the culture

643
00:36:05,640 --> 00:36:07,879
Speaker 1: of farming too, because it's sort of like, well, you're

644
00:36:07,880 --> 00:36:10,839
Speaker 1: gonna have nobody to sell to, but I'll get you check.

645
00:36:11,520 --> 00:36:15,080
Speaker 1: And that's not sustainable. And it's really and I think

646
00:36:15,640 --> 00:36:18,319
Speaker 1: there's more grumblings now that like he has a few

647
00:36:18,360 --> 00:36:20,360
Speaker 1: groups like truckers too. There are a lot of truckers

648
00:36:20,400 --> 00:36:23,080
Speaker 1: because of the trade slowing down that means less stuff

649
00:36:23,120 --> 00:36:25,080
Speaker 1: is moving around that are also starting to be like

650
00:36:25,239 --> 00:36:27,080
Speaker 1: hold on, man, like, yeah, actually I can. I can

651
00:36:27,120 --> 00:36:29,960
Speaker 1: begin to connect the dots to why I'm working less

652
00:36:30,000 --> 00:36:32,799
Speaker 1: and it's you. So there's gonna be a balancing because

653
00:36:32,800 --> 00:36:34,799
Speaker 1: there are some people who are just so racist they

654
00:36:34,840 --> 00:36:37,720
Speaker 1: don't care like it affects them, you know, like whatever

655
00:36:37,760 --> 00:36:40,000
Speaker 1: their pocketbook, because they just want to see as much

656
00:36:40,040 --> 00:36:42,839
Speaker 1: pain being inflicted upon, you know, marginalized people or non

657
00:36:42,880 --> 00:36:47,920
Speaker 1: whites or non cis gendered or liberals. The thing that

658
00:36:48,000 --> 00:36:52,759
Speaker 1: makes them so happy is how mad liberals get at

659
00:36:53,120 --> 00:36:57,080
Speaker 1: at Trump like that seems to be the key to

660
00:36:57,880 --> 00:36:59,719
Speaker 1: keep putting up with it. That's because the farmers are

661
00:36:59,719 --> 00:37:02,200
Speaker 1: getting screwed and it's like, is that what is it?

662
00:37:02,239 --> 00:37:05,600
Speaker 1: Why are why are any farmers still on board? Is it?

663
00:37:05,680 --> 00:37:07,880
Speaker 1: Is it? That? Is it? They're just they love the

664
00:37:07,880 --> 00:37:10,680
Speaker 1: trolling of the liberals. They'll watch their you know, they're

665
00:37:10,680 --> 00:37:13,600
Speaker 1: watch their their their two and ups wilt. It means

666
00:37:13,640 --> 00:37:15,959
Speaker 1: that the liberals got trolled. And you know, it's funny.

667
00:37:16,000 --> 00:37:18,080
Speaker 1: The only thing it seems that he is doing for

668
00:37:18,200 --> 00:37:23,320
Speaker 1: the farmers, it's socialism, you know, like that's the only

669
00:37:23,400 --> 00:37:27,880
Speaker 1: thing that and so the socialism or any socialist you know,

670
00:37:28,440 --> 00:37:31,760
Speaker 1: uh sort of policy, but then it's it's a socialist policy.

671
00:37:31,800 --> 00:37:34,960
Speaker 1: Is the only thing he's doing is giving from being

672
00:37:35,000 --> 00:37:39,520
Speaker 1: like literally, socialism is when AOC and ilhan Omar do

673
00:37:39,719 --> 00:37:44,200
Speaker 1: anti Semitism, that's socialism. That's true. Because I don't even

674
00:37:44,200 --> 00:37:45,960
Speaker 1: know what they know, So I don't know does anyone

675
00:37:46,000 --> 00:37:48,560
Speaker 1: they don't know what it is. They think they sell

676
00:37:48,560 --> 00:37:51,759
Speaker 1: it as venezuela, you know, and it's it's like it's

677
00:37:51,760 --> 00:37:55,560
Speaker 1: like your schools are you know, socialism, your highways or socialism.

678
00:37:55,560 --> 00:37:58,400
Speaker 1: You know, no one is, no liberal is is fighting

679
00:37:58,440 --> 00:38:01,400
Speaker 1: for I mean, maybe there are some liberals that are

680
00:38:01,440 --> 00:38:03,440
Speaker 1: saying it should be all socialism, and those people are

681
00:38:03,440 --> 00:38:06,160
Speaker 1: not helping the whole are conversation, but you know, like

682
00:38:06,640 --> 00:38:11,920
Speaker 1: just the idea of we use socialist program Yeah, well,

683
00:38:11,960 --> 00:38:14,440
Speaker 1: I think that's where people pick and choose because overall

684
00:38:14,440 --> 00:38:16,360
Speaker 1: they're like, well, this is capitalism, but like when you

685
00:38:16,360 --> 00:38:19,480
Speaker 1: look at like, well, the way this is functioning, you

686
00:38:19,520 --> 00:38:21,600
Speaker 1: may want to look at those definitions a little more

687
00:38:21,600 --> 00:38:24,840
Speaker 1: clearly or closely. Um. When it comes to the wall though,

688
00:38:25,080 --> 00:38:28,400
Speaker 1: right now, he wants five hundred miles of wall done

689
00:38:28,600 --> 00:38:36,040
Speaker 1: before election day, and he has a lot of um

690
00:38:36,080 --> 00:38:38,799
Speaker 1: as it stands, though, I think the military has only

691
00:38:38,840 --> 00:38:42,680
Speaker 1: been able to like reinforce about sixty miles. So there's

692
00:38:42,880 --> 00:38:45,239
Speaker 1: a lot of fun work, which is why he has

693
00:38:45,280 --> 00:38:48,600
Speaker 1: been telling people, uh, Aids, he stold Aids quote not

694
00:38:48,640 --> 00:38:51,239
Speaker 1: to worry about breaking the law in order to finalize

695
00:38:51,280 --> 00:38:54,160
Speaker 1: contracts or using eminent domain to see his property for

696
00:38:54,200 --> 00:38:58,560
Speaker 1: the structure. Now that's where it gets. Using eminent domain

697
00:38:58,760 --> 00:39:03,000
Speaker 1: means you're stealing somebody's yeah land, Yeah, you're like, well

698
00:39:03,040 --> 00:39:06,960
Speaker 1: I need this, you're mine. You're making somebody homeless. And

699
00:39:07,040 --> 00:39:09,640
Speaker 1: the President saying you can do that even if it's

700
00:39:09,680 --> 00:39:12,359
Speaker 1: against the law, because I'm going to pardon you, right,

701
00:39:12,440 --> 00:39:15,239
Speaker 1: and that's what he said, when it seems pretty like

702
00:39:15,320 --> 00:39:19,360
Speaker 1: that's just next level in this post article in the

703
00:39:19,360 --> 00:39:21,799
Speaker 1: Post say, when Aids have suggested that some orders are

704
00:39:21,840 --> 00:39:24,360
Speaker 1: illegal or unworkable. Trump has suggested he would pardon the

705
00:39:24,400 --> 00:39:27,520
Speaker 1: officials if they would go ahead. Uh Aid said he

706
00:39:27,560 --> 00:39:30,120
Speaker 1: has waved off worries about contracting procedures in the use

707
00:39:30,120 --> 00:39:34,680
Speaker 1: of eminent domain, saying, quote, take the land, don't worry out,

708
00:39:34,719 --> 00:39:39,880
Speaker 1: pardon you and when they when they were asked for comment,

709
00:39:39,920 --> 00:39:42,680
Speaker 1: a White House official who wanted to remain anonymous, said

710
00:39:42,920 --> 00:39:47,080
Speaker 1: he's joking when he makes statements about pardons. Oh really, yeah,

711
00:39:47,120 --> 00:39:49,000
Speaker 1: what is it? When is I just wish we had

712
00:39:49,040 --> 00:39:51,319
Speaker 1: like some sort we're working off the same you know,

713
00:39:51,560 --> 00:39:53,520
Speaker 1: set of facts right here. You know, every time you

714
00:39:53,600 --> 00:39:56,399
Speaker 1: hear anything, you know, it's like, well, he President says

715
00:39:56,440 --> 00:39:59,440
Speaker 1: he wants to buy Greenland. Okay, didn't you know he

716
00:39:59,440 --> 00:40:01,319
Speaker 1: didn't he has he did, No, he didn't. He wants

717
00:40:01,320 --> 00:40:03,040
Speaker 1: to drop I love to drop a bomb in the

718
00:40:03,120 --> 00:40:06,960
Speaker 1: hurricane thing. And how he's denying that so fiercely, And

719
00:40:07,000 --> 00:40:10,040
Speaker 1: it's like, if you look, he's not the first person

720
00:40:10,080 --> 00:40:13,040
Speaker 1: to suggest buying Greenland. He's not the first person to

721
00:40:13,040 --> 00:40:16,799
Speaker 1: suggest dropping a bomb into hurricanes. You know. Um, Like

722
00:40:16,920 --> 00:40:21,560
Speaker 1: sometimes I'm like I wouldn't mind a whimsical president, you know,

723
00:40:21,800 --> 00:40:24,800
Speaker 1: like if it wasn't for all like the racist stuff

724
00:40:24,960 --> 00:40:29,480
Speaker 1: and like just destroying the environment and like the divisive angry,

725
00:40:29,520 --> 00:40:33,480
Speaker 1: like just stoking the members of fires of hate if

726
00:40:33,719 --> 00:40:35,960
Speaker 1: because if they're if we like like a liberal president.

727
00:40:36,000 --> 00:40:38,640
Speaker 1: It was like, hey, man, let's try to buy Greenland.

728
00:40:38,719 --> 00:40:40,560
Speaker 1: I'd be like, all right, let's check it out. You know.

729
00:40:41,080 --> 00:40:42,480
Speaker 1: He was like, what if we just like dropped a

730
00:40:42,560 --> 00:40:44,799
Speaker 1: bomb in the hurricane, I'd be like, look into it.

731
00:40:44,880 --> 00:40:46,400
Speaker 1: But not a nuke though, Man, we don't want to

732
00:40:46,400 --> 00:40:50,640
Speaker 1: mess up the earth, but like big gas, regular bombs. Yeah,

733
00:40:50,640 --> 00:40:55,840
Speaker 1: that don't like bring a tornado of fallout just around. Yeah,

734
00:40:56,120 --> 00:41:00,320
Speaker 1: but I mean somebody like that, you know, rip of

735
00:41:00,400 --> 00:41:02,880
Speaker 1: a friends like, hey, we're just gonna love Isis to

736
00:41:02,920 --> 00:41:06,000
Speaker 1: death and that's how we're gonna do that and wish

737
00:41:06,000 --> 00:41:09,879
Speaker 1: away your aids and' like, oh, what are you sure

738
00:41:09,880 --> 00:41:13,799
Speaker 1: about that, Marianna? What's caused by fear? Right? That's when

739
00:41:13,800 --> 00:41:16,560
Speaker 1: it gets That's when the good times start to get

740
00:41:16,560 --> 00:41:21,319
Speaker 1: a little weird. Christian scientists stuff real quick. There is

741
00:41:21,360 --> 00:41:25,320
Speaker 1: a poll out that might be catching his attention because

742
00:41:25,320 --> 00:41:28,640
Speaker 1: it's being called a shock poll on Drudge, which we

743
00:41:28,719 --> 00:41:32,759
Speaker 1: know Trump reads. It says that the top five Democrats,

744
00:41:33,040 --> 00:41:39,520
Speaker 1: so that is Biden Sanders, Warren Harris, and Buddha Jedge

745
00:41:40,239 --> 00:41:43,520
Speaker 1: all beat him in a head to head poll by

746
00:41:43,640 --> 00:41:49,160
Speaker 1: between sixteen and nine points percentage points. So we're back

747
00:41:49,200 --> 00:41:52,480
Speaker 1: to polls. We are back to polls. However, I do

748
00:41:52,560 --> 00:41:56,160
Speaker 1: think that polling and granted were way way the funk out,

749
00:41:56,200 --> 00:41:58,080
Speaker 1: but just in terms of what would happen if the

750
00:41:58,120 --> 00:42:02,839
Speaker 1: election war tomorrow, Like the last Clinton Trump pull in

751
00:42:03,120 --> 00:42:06,920
Speaker 1: the election, she was up I think six points and

752
00:42:07,000 --> 00:42:10,920
Speaker 1: that was like early October, before the the comy story happened,

753
00:42:10,960 --> 00:42:14,800
Speaker 1: and I think people were like the New York Times

754
00:42:14,840 --> 00:42:17,840
Speaker 1: and uh, the Washington Post were saying it was like

755
00:42:17,840 --> 00:42:22,640
Speaker 1: a shot that she would win, but she was only

756
00:42:22,719 --> 00:42:25,680
Speaker 1: up like between two and six percentage points at the end.

757
00:42:25,719 --> 00:42:28,160
Speaker 1: And Nate Silver was like, no, it's like he has

758
00:42:28,200 --> 00:42:31,800
Speaker 1: a one in three chance of winning. And it wouldn't

759
00:42:31,800 --> 00:42:34,080
Speaker 1: be that surprising all if when you look at like

760
00:42:34,120 --> 00:42:36,959
Speaker 1: the like you know, third party candidates can siphon off

761
00:42:36,960 --> 00:42:39,720
Speaker 1: like anywhere from like four to six four to seven percent,

762
00:42:40,560 --> 00:42:43,400
Speaker 1: then that's not a good margin. Six percent is in

763
00:42:43,480 --> 00:42:46,239
Speaker 1: a good margin at all. Yeah, and we saw that. Yeah,

764
00:42:46,320 --> 00:42:48,839
Speaker 1: but yeah, I think you know, not that we're saying, hey, great,

765
00:42:48,880 --> 00:42:52,319
Speaker 1: it's all one, but it's stick really sort of keep

766
00:42:52,400 --> 00:42:55,560
Speaker 1: up this enthusiasm that like, okay, like there's a there's

767
00:42:55,600 --> 00:42:59,520
Speaker 1: a very good shot to not epically funck this up. Yeah,

768
00:43:00,040 --> 00:43:03,440
Speaker 1: that's right, there were We have a year to not

769
00:43:03,520 --> 00:43:08,040
Speaker 1: epically not funk this up. Quinnipiac in kind of taking

770
00:43:08,040 --> 00:43:10,319
Speaker 1: a look at the numbers and carving the pulling up

771
00:43:10,360 --> 00:43:13,320
Speaker 1: a little bit, is saying that the main difference between

772
00:43:13,440 --> 00:43:17,360
Speaker 1: Trump support these days and back during the twenty sixteen

773
00:43:17,400 --> 00:43:22,320
Speaker 1: election is that he has completely lost white women. White

774
00:43:22,360 --> 00:43:27,640
Speaker 1: women actually voted in support of him. Uh, and now

775
00:43:28,080 --> 00:43:32,640
Speaker 1: he's basically losing by double digits in every scenario with

776
00:43:32,960 --> 00:43:36,040
Speaker 1: white women. Come on, white women, keep come on home. Well,

777
00:43:36,120 --> 00:43:39,200
Speaker 1: I definitely don't believe that he's gaining. I feel like

778
00:43:39,200 --> 00:43:41,000
Speaker 1: he's lost more than he's gaining. I can't. I can't

779
00:43:41,000 --> 00:43:43,600
Speaker 1: imagine who was anyone who was anti Trump in the beginning,

780
00:43:43,600 --> 00:43:52,320
Speaker 1: who's just like, you know what, racist enough? I'm in um.

781
00:43:52,360 --> 00:43:55,000
Speaker 1: I think the Biden numbers are I don't know, we're

782
00:43:55,000 --> 00:43:56,560
Speaker 1: not exactly talking about this, but like, I think it's

783
00:43:56,600 --> 00:43:58,320
Speaker 1: gonna I think it's gonna be interesting how the numbers

784
00:43:58,400 --> 00:44:01,040
Speaker 1: change as the field gets it down. I don't think

785
00:44:01,080 --> 00:44:05,360
Speaker 1: Biden gains anybody else. I think the other people highlander style,

786
00:44:05,480 --> 00:44:08,600
Speaker 1: like you know, or there could be all the non

787
00:44:08,640 --> 00:44:11,920
Speaker 1: Biden people will always go once their persons eliminated, they

788
00:44:11,920 --> 00:44:14,200
Speaker 1: will just go to the other non Biden person. I don't,

789
00:44:14,280 --> 00:44:15,640
Speaker 1: you know, because I don't think there's not a lot

790
00:44:15,680 --> 00:44:19,239
Speaker 1: of centrist left of like the core. I mean, Buddha Judge,

791
00:44:19,280 --> 00:44:22,239
Speaker 1: I think and Harris are like the closest thing. Yeah,

792
00:44:22,280 --> 00:44:25,200
Speaker 1: and I mean I guess, yeah, I guess maybe if

793
00:44:25,239 --> 00:44:28,680
Speaker 1: it gets down to yeah, maybe there's some people that

794
00:44:28,719 --> 00:44:31,600
Speaker 1: are Buddha Judge and and and Kamala that like go

795
00:44:31,719 --> 00:44:34,880
Speaker 1: to Biden because Sanders and one or too left. It

796
00:44:34,960 --> 00:44:36,319
Speaker 1: might be too left for them. But yeah, well I

797
00:44:36,320 --> 00:44:39,480
Speaker 1: think again that's been the whole Biden sort of battlecrads.

798
00:44:39,560 --> 00:44:42,600
Speaker 1: Like I'm the guy with the best poll numbers. It's

799
00:44:42,640 --> 00:44:45,360
Speaker 1: like that's not enough really, Like we're in a really

800
00:44:45,440 --> 00:44:48,279
Speaker 1: terrible situation in this country. Like I get that you

801
00:44:48,280 --> 00:44:50,760
Speaker 1: have the best poll numbers, but like offer a fucking

802
00:44:50,880 --> 00:44:52,920
Speaker 1: vision of what the country is going to be rather

803
00:44:53,000 --> 00:44:57,040
Speaker 1: than being like my son tragically passed away. So I

804
00:44:57,040 --> 00:45:00,279
Speaker 1: would never repeal Obamacare, which the crux of like this

805
00:45:00,320 --> 00:45:02,680
Speaker 1: new ad he's doing. Yeah, it just feels very much

806
00:45:02,840 --> 00:45:06,319
Speaker 1: old old school politics, like the politics that used to

807
00:45:06,640 --> 00:45:09,680
Speaker 1: like Clinton arapolicies. Well, the economy is in the situation

808
00:45:09,719 --> 00:45:12,799
Speaker 1: with people's incomes are just too unpredictable right now, and

809
00:45:12,840 --> 00:45:14,880
Speaker 1: people are really starting to look at like hold on

810
00:45:15,000 --> 00:45:17,480
Speaker 1: and like especially when you look at for millennials too,

811
00:45:17,920 --> 00:45:20,640
Speaker 1: we were fucked by that last recession. We entered a

812
00:45:20,719 --> 00:45:23,439
Speaker 1: job the a waste land of a job market. We're

813
00:45:23,440 --> 00:45:26,480
Speaker 1: not able to regain any of that wealth during the recovery,

814
00:45:26,760 --> 00:45:29,279
Speaker 1: and we're like ten percent behind in everything I think,

815
00:45:29,280 --> 00:45:32,760
Speaker 1: like in net worth or some behind like x or whatever.

816
00:45:33,640 --> 00:45:36,919
Speaker 1: Like millennials really need to also realize there's a lot

817
00:45:37,000 --> 00:45:38,960
Speaker 1: has to be done if we even want to think

818
00:45:39,000 --> 00:45:42,400
Speaker 1: that there's a future that is actually like worth living

819
00:45:42,480 --> 00:45:44,760
Speaker 1: in this country, like based on the kind of wealth

820
00:45:44,840 --> 00:45:47,200
Speaker 1: we can accumulate, because we may just be the generation

821
00:45:47,200 --> 00:45:49,839
Speaker 1: that's like waiting for our parents to just give us

822
00:45:49,840 --> 00:45:53,480
Speaker 1: stuff that they accumulated because the economy just wasn't robust

823
00:45:53,640 --> 00:45:56,560
Speaker 1: enough for us to you know, gain any assets. And

824
00:45:56,600 --> 00:45:59,200
Speaker 1: that's that's the now. Outlooks even bleaker for gen Z.

825
00:46:00,360 --> 00:46:04,200
Speaker 1: So I would not count on baby boomers leaving anything

826
00:46:04,560 --> 00:46:08,759
Speaker 1: for you because they're the like most selfish. But I mean,

827
00:46:08,760 --> 00:46:10,839
Speaker 1: like when you look at like some millennials who are

828
00:46:10,880 --> 00:46:13,719
Speaker 1: still need, like are still dependent on their parents. I'm

829
00:46:13,719 --> 00:46:15,480
Speaker 1: saying in that sense, like there are people who if

830
00:46:15,480 --> 00:46:17,680
Speaker 1: they're fortunate enough that their parents are able to support

831
00:46:17,719 --> 00:46:21,840
Speaker 1: them or whatever, that's been a form of income for generation,

832
00:46:21,840 --> 00:46:24,080
Speaker 1: which is very different. I'm just saying it's a bad

833
00:46:24,120 --> 00:46:27,279
Speaker 1: situation when you're depending on the people who were so

834
00:46:27,400 --> 00:46:30,440
Speaker 1: good at planning for the future that they created global warming.

835
00:46:31,160 --> 00:46:37,200
Speaker 1: Uh dope, oops, not my dad. My mom didn't do

836
00:46:37,239 --> 00:46:41,480
Speaker 1: that though. Yeah. No, I I'm talking about everyone besides

837
00:46:42,520 --> 00:46:45,239
Speaker 1: the parents of the people in this room. Yeah. And

838
00:46:45,280 --> 00:46:47,360
Speaker 1: also that and also the boomers who listen to the

839
00:46:47,360 --> 00:46:50,200
Speaker 1: show shout out as you're the good ones who also

840
00:46:50,280 --> 00:46:52,000
Speaker 1: chime in like we're not all bad. I'm like, right,

841
00:46:52,120 --> 00:46:55,000
Speaker 1: you're right, yeah, No, it's definitely true about you speaking

842
00:46:55,000 --> 00:46:59,200
Speaker 1: of when you're speaking about generations, you have to understand

843
00:46:59,320 --> 00:47:02,360
Speaker 1: that there's going to be exceptions. That's a lot of people.

844
00:47:02,960 --> 00:47:06,120
Speaker 1: All Right, we're gonna take another quick break and we'll

845
00:47:06,160 --> 00:47:21,279
Speaker 1: be right back. And we're back, and Aunt Becky is

846
00:47:21,360 --> 00:47:27,400
Speaker 1: back in the news. Laurie Laughlin and her just how Massimo.

847
00:47:28,040 --> 00:47:30,840
Speaker 1: I love how they refer to her as Larry Laughlin

848
00:47:30,920 --> 00:47:35,160
Speaker 1: and her husband. That is one victory for do you

849
00:47:35,160 --> 00:47:39,680
Speaker 1: just say Aunt Becky and the dude who made him

850
00:47:39,760 --> 00:47:46,480
Speaker 1: uncle Becky nice and uncle Becky they operation Varsity Blues.

851
00:47:46,600 --> 00:47:50,000
Speaker 1: Is you know, still rolling on, um. But there's been

852
00:47:50,320 --> 00:47:52,040
Speaker 1: we haven't checked in with her, and there's been a

853
00:47:52,080 --> 00:47:54,840
Speaker 1: few things we haven't talked about. A is that she's

854
00:47:54,880 --> 00:47:56,799
Speaker 1: been saying that a lot of her friends haven't been

855
00:47:56,800 --> 00:48:00,399
Speaker 1: calling anymore, kind of keeping their distance from her. UM.

856
00:48:00,440 --> 00:48:02,920
Speaker 1: And also other the friends that are around have been

857
00:48:03,120 --> 00:48:06,319
Speaker 1: talking shipped to the tabloids saying she's obsessed with the case,

858
00:48:06,360 --> 00:48:09,600
Speaker 1: and he's been pouring over document over document as if

859
00:48:10,280 --> 00:48:14,000
Speaker 1: something is like she's gonna beautiful mind like reveal like

860
00:48:14,080 --> 00:48:17,200
Speaker 1: a thing that makes it so that she didn't actually

861
00:48:17,239 --> 00:48:21,799
Speaker 1: pay five thousand dollars in bribes to have their two

862
00:48:21,880 --> 00:48:27,120
Speaker 1: daughters designated as USC rowing team recruits. UM. Because that's

863
00:48:27,239 --> 00:48:30,160
Speaker 1: those are the facts, UM. And so now they're in

864
00:48:30,239 --> 00:48:32,359
Speaker 1: court because they're they're gonna have to go to trial

865
00:48:32,440 --> 00:48:35,040
Speaker 1: because they didn't fucking take a plea deal like everyone

866
00:48:35,080 --> 00:48:38,040
Speaker 1: else did or most people didn't. Because they're like yeah,

867
00:48:38,080 --> 00:48:41,279
Speaker 1: you got us. They're just like Nope, we won't do it.

868
00:48:41,400 --> 00:48:43,440
Speaker 1: We're going to fight the case. And they didn't catch

869
00:48:43,560 --> 00:48:46,879
Speaker 1: us exactly. None of this is happening, um, And they

870
00:48:46,960 --> 00:48:49,200
Speaker 1: went into this hearing they're saying there's a lot of

871
00:48:49,400 --> 00:48:52,440
Speaker 1: um conflict of interest stuff they suspect or the prosecution

872
00:48:52,480 --> 00:48:54,880
Speaker 1: was raising about their legal team because their legal defense

873
00:48:54,920 --> 00:48:57,879
Speaker 1: team represented us in a very separate case. But the

874
00:48:57,960 --> 00:48:59,400
Speaker 1: firm has been like, no, that's not going to be

875
00:48:59,440 --> 00:49:01,880
Speaker 1: an issue, and like, well, why are the both of

876
00:49:01,920 --> 00:49:04,600
Speaker 1: you guys represented by the same lawyer, like the same

877
00:49:04,719 --> 00:49:07,319
Speaker 1: legal team, Like that's just not good for you, Like

878
00:49:07,440 --> 00:49:10,200
Speaker 1: that's not a good strategy. And the judge literally had

879
00:49:10,239 --> 00:49:13,040
Speaker 1: to make sure they were not on drugs, you know that,

880
00:49:13,120 --> 00:49:15,880
Speaker 1: like you are you are guys, are aware that the

881
00:49:15,960 --> 00:49:18,720
Speaker 1: two of you are sharing, you know, your defense team,

882
00:49:18,880 --> 00:49:22,600
Speaker 1: and that is no just asking like you're not on medication,

883
00:49:22,640 --> 00:49:25,319
Speaker 1: You're not on drugs that would prohibit you from understanding

884
00:49:25,440 --> 00:49:27,640
Speaker 1: the decision you're making right now. And they're like no,

885
00:49:28,120 --> 00:49:30,359
Speaker 1: because the whole thing is that, Like the judge even said,

886
00:49:30,560 --> 00:49:33,319
Speaker 1: they said, having an attorney who is working for you

887
00:49:33,440 --> 00:49:36,120
Speaker 1: and you alone is one of the best ways to

888
00:49:36,120 --> 00:49:38,799
Speaker 1: have a good defense, and they're like, no, because the

889
00:49:38,800 --> 00:49:42,160
Speaker 1: whole thing was, you know, one of the defenses, because

890
00:49:42,160 --> 00:49:44,520
Speaker 1: they're both implicated in this, could be that one of

891
00:49:44,560 --> 00:49:47,239
Speaker 1: them was hiding something from the other person. So they're saying,

892
00:49:47,239 --> 00:49:50,000
Speaker 1: maybe that's why I'm less on the hook for this,

893
00:49:50,320 --> 00:49:52,680
Speaker 1: because I don't know if Massimo didn't tell me that

894
00:49:52,719 --> 00:49:56,000
Speaker 1: the guy was a briber or whatever. And but if

895
00:49:56,000 --> 00:49:57,560
Speaker 1: that's the case, they're not going to be able to

896
00:49:57,640 --> 00:50:00,239
Speaker 1: use that evidence to help one of the other science

897
00:50:00,320 --> 00:50:03,440
Speaker 1: out because it's a shared legal defense. So they're just saying, like, Okay,

898
00:50:03,760 --> 00:50:06,080
Speaker 1: I go down together. Basically, yeah, they're like, fuck it,

899
00:50:06,400 --> 00:50:09,920
Speaker 1: we're going exactly. And so the judge again was being

900
00:50:09,960 --> 00:50:14,600
Speaker 1: like okay, so you're sure they said yes, And their

901
00:50:14,680 --> 00:50:18,719
Speaker 1: whole defense, from what it sounds like, as people describe it,

902
00:50:18,840 --> 00:50:21,799
Speaker 1: very nixon Ian in fashion, where they're going to force

903
00:50:21,880 --> 00:50:27,359
Speaker 1: the prosecutors to prove that they one percent knew that

904
00:50:27,440 --> 00:50:29,760
Speaker 1: the mastermind of this whole thing, this guy Rick Singer,

905
00:50:30,239 --> 00:50:32,319
Speaker 1: was like the guy like that what he was really

906
00:50:32,400 --> 00:50:35,200
Speaker 1: up to and it wasn't just some really cool consultant

907
00:50:35,200 --> 00:50:36,879
Speaker 1: who could get your kids into college for a half

908
00:50:36,880 --> 00:50:41,719
Speaker 1: million dollars. Man there's they don't sound very bright, and

909
00:50:41,800 --> 00:50:44,680
Speaker 1: it sounds like they need to bribe themselves back into

910
00:50:44,719 --> 00:50:49,040
Speaker 1: college and learn learn how to be smarter. I don't

911
00:50:49,200 --> 00:50:53,080
Speaker 1: doubt that they didn't know that they were breaking. How

912
00:50:53,120 --> 00:50:56,040
Speaker 1: could you fucking think that you could you know, like

913
00:50:56,200 --> 00:50:58,879
Speaker 1: or how could you not know the guy? I mean, sure,

914
00:50:58,920 --> 00:51:01,879
Speaker 1: maybe the guy's using language that isn't explicitly like give

915
00:51:01,920 --> 00:51:03,840
Speaker 1: me a half million dollars, I'm gonna give it to

916
00:51:03,960 --> 00:51:06,520
Speaker 1: USC and then your kids will get in as recruits.

917
00:51:06,760 --> 00:51:09,759
Speaker 1: But when you just look at the proposition, which is

918
00:51:10,040 --> 00:51:13,440
Speaker 1: a half million dollars to turn my like you know,

919
00:51:14,200 --> 00:51:17,440
Speaker 1: vapid YouTuber daughter and the other one who I'm not

920
00:51:17,440 --> 00:51:20,280
Speaker 1: sure what her deal is like into suddenly like rowing

921
00:51:20,360 --> 00:51:24,320
Speaker 1: recruits is a very odd like like okay, yeah, that

922
00:51:24,360 --> 00:51:26,919
Speaker 1: seems sounds like on the level, right, but I don't

923
00:51:26,960 --> 00:51:28,880
Speaker 1: know that that that that guess that would be their defense,

924
00:51:28,920 --> 00:51:31,440
Speaker 1: Like I get yeah, the rowing recruits thing, like if

925
00:51:31,520 --> 00:51:34,359
Speaker 1: they knew and they did no detailed stuff about that, right,

926
00:51:34,680 --> 00:51:36,920
Speaker 1: and it seems like a lot of evidence was The

927
00:51:36,960 --> 00:51:39,480
Speaker 1: thing that they that really made it clear that these

928
00:51:39,480 --> 00:51:41,600
Speaker 1: people all knew was when they're like, okay, I need

929
00:51:41,680 --> 00:51:43,759
Speaker 1: some I need some information so we can make your

930
00:51:43,800 --> 00:51:46,760
Speaker 1: child look like this thing. They are not right, I

931
00:51:46,760 --> 00:51:50,920
Speaker 1: I you know, because like this is like the elite

932
00:51:50,960 --> 00:51:53,680
Speaker 1: stuff that the that the country hates, that these rich

933
00:51:53,760 --> 00:51:57,000
Speaker 1: people just get to like because she took a spot

934
00:51:57,239 --> 00:51:59,960
Speaker 1: from a kid in college, right and I you know,

935
00:52:00,160 --> 00:52:02,040
Speaker 1: like a kid who like did want to go to

936
00:52:02,080 --> 00:52:06,680
Speaker 1: college that worked hard. You have this influencer society that's disgusting.

937
00:52:06,800 --> 00:52:10,319
Speaker 1: I just kind of I would love there's some sort

938
00:52:10,360 --> 00:52:14,880
Speaker 1: of poetic justice of like that her stupid Instagram videos

939
00:52:14,920 --> 00:52:18,000
Speaker 1: and posts wind up bringing them down, like her being

940
00:52:18,080 --> 00:52:20,440
Speaker 1: like my parents want me to go and they're like,

941
00:52:20,560 --> 00:52:23,359
Speaker 1: I hate Rowing. I don't even I've never even been

942
00:52:23,400 --> 00:52:25,640
Speaker 1: in a boat, you know, Like they sign all these

943
00:52:25,719 --> 00:52:27,920
Speaker 1: d ms on Instagram, like like, I can't go to

944
00:52:27,920 --> 00:52:29,360
Speaker 1: the party. My mom has to like I have to

945
00:52:29,400 --> 00:52:32,439
Speaker 1: look like a wrote like a regatta person to your

946
00:52:32,640 --> 00:52:36,440
Speaker 1: fake college scam. Yeah, something I can't. Like, I can't

947
00:52:36,440 --> 00:52:39,640
Speaker 1: believe my mom is bribing USC to convince them I'm

948
00:52:39,680 --> 00:52:41,760
Speaker 1: a Rowing recruit just so I can get in because

949
00:52:41,760 --> 00:52:43,960
Speaker 1: my grades are not good enough and otherwise on paper,

950
00:52:44,000 --> 00:52:48,200
Speaker 1: I'm a completely uh just I'm not a viable Canada

951
00:52:48,200 --> 00:52:50,319
Speaker 1: attend to the school. I mean, that would be the thing,

952
00:52:50,360 --> 00:52:52,160
Speaker 1: but I think everything else points to the fact that

953
00:52:52,200 --> 00:52:53,640
Speaker 1: they knew. But that is a hell of a defense.

954
00:52:53,640 --> 00:52:56,160
Speaker 1: And I don't know, I bet that I bet they

955
00:52:56,200 --> 00:52:59,719
Speaker 1: didn't know, like didn't realize it. And that's an indictment

956
00:53:00,160 --> 00:53:04,000
Speaker 1: of like what it's like to be a rich person

957
00:53:04,160 --> 00:53:07,160
Speaker 1: in America that you can just that everything is just

958
00:53:07,239 --> 00:53:09,120
Speaker 1: like for you know, they'll do it for us for

959
00:53:09,200 --> 00:53:12,520
Speaker 1: free because we're rich, Like, yeah, we get everything we

960
00:53:12,560 --> 00:53:15,319
Speaker 1: want for free. But like that's just the whole system.

961
00:53:15,440 --> 00:53:19,600
Speaker 1: Once you're really really rich, like you just people start

962
00:53:19,760 --> 00:53:22,239
Speaker 1: throwing free ship at you and you're just like, yeah,

963
00:53:22,280 --> 00:53:25,239
Speaker 1: of course, Like I think we're going to prison. They

964
00:53:25,239 --> 00:53:28,239
Speaker 1: should make the both of them get teaching credentials and

965
00:53:28,400 --> 00:53:33,279
Speaker 1: have to teach teach at public school public schools, really

966
00:53:33,320 --> 00:53:35,640
Speaker 1: get their ship together so they can. I think that's

967
00:53:36,320 --> 00:53:39,000
Speaker 1: they need an experience. But then we'd have to watch

968
00:53:39,120 --> 00:53:43,920
Speaker 1: the movie that was like Dangerous Minds starring her as

969
00:53:43,960 --> 00:53:45,879
Speaker 1: her more of a comedy's like she was a high

970
00:53:45,880 --> 00:53:51,279
Speaker 1: flying actress. One mistakes center back to school. I just

971
00:53:51,320 --> 00:53:54,319
Speaker 1: love the defense of ignorance, you know, just like you

972
00:53:54,440 --> 00:53:56,840
Speaker 1: bought drugs in the street. No, this guy was a

973
00:53:56,880 --> 00:54:00,680
Speaker 1: consultant from my depression. Yeah that if I just breathed

974
00:54:00,760 --> 00:54:04,080
Speaker 1: in the smoke from this your rock, if you just

975
00:54:04,160 --> 00:54:08,080
Speaker 1: do a line of this antidepressant, right, yeah, I'll be good. Yes,

976
00:54:08,239 --> 00:54:10,600
Speaker 1: it was all herbal It was all yeah, you know,

977
00:54:10,840 --> 00:54:12,400
Speaker 1: well that's what shows you man, it's just a hell

978
00:54:12,440 --> 00:54:14,600
Speaker 1: of a drug at that level where you really think,

979
00:54:14,640 --> 00:54:19,080
Speaker 1: I mean, like things, everything's viable, influences, everything is a transaction.

980
00:54:19,200 --> 00:54:22,320
Speaker 1: Nothing is about merit. It's just about your outside power.

981
00:54:22,360 --> 00:54:26,399
Speaker 1: And this defense is all about them refusing to leave

982
00:54:26,440 --> 00:54:29,799
Speaker 1: that bubble, just being like yeah again, how anybody would

983
00:54:29,800 --> 00:54:32,600
Speaker 1: have made this mistake. It's like, Nold, I'm really getting

984
00:54:32,600 --> 00:54:34,840
Speaker 1: in trouble for this really, because this is how it

985
00:54:34,880 --> 00:54:37,080
Speaker 1: works out here. It's like, yeah, but that's outside of

986
00:54:37,120 --> 00:54:40,800
Speaker 1: the legal structure. Out here is inside a very small

987
00:54:40,800 --> 00:54:43,440
Speaker 1: bubble that you live in, and that is not real. Meanwhile,

988
00:54:43,440 --> 00:54:46,560
Speaker 1: Felicity Huffman, who did take a plea deal, you know

989
00:54:46,600 --> 00:54:49,600
Speaker 1: they're saying, at most she could get four months, but

990
00:54:49,640 --> 00:54:52,520
Speaker 1: they don't even think she'll even see a prison at all. Right,

991
00:54:52,560 --> 00:54:54,560
Speaker 1: because she was like, oh, yeah, are bad. We fucked

992
00:54:54,640 --> 00:54:59,040
Speaker 1: up terrible, like and I'm so ashamed. Yeah, then Meanwhile,

993
00:54:59,080 --> 00:55:02,239
Speaker 1: you have the cock the cocky twins over here who

994
00:55:02,280 --> 00:55:05,400
Speaker 1: are like, we didn't know. I mean when you see

995
00:55:05,719 --> 00:55:09,839
Speaker 1: just like a video from the daughter that they got

996
00:55:09,840 --> 00:55:12,319
Speaker 1: into USC. She's a young person, so I'm not gonna

997
00:55:12,320 --> 00:55:15,640
Speaker 1: but it's just like this person was not interested in college.

998
00:55:16,080 --> 00:55:19,960
Speaker 1: But like the world that allows that sort of mindset

999
00:55:20,080 --> 00:55:23,719
Speaker 1: to exist has to be really fun. Well yeah, I

1000
00:55:23,719 --> 00:55:25,080
Speaker 1: mean I grew up with a lot of kids like

1001
00:55:25,120 --> 00:55:28,040
Speaker 1: that in l A who are basically defanged by their

1002
00:55:28,080 --> 00:55:32,200
Speaker 1: parents like wealth, Like they just have never had to

1003
00:55:32,239 --> 00:55:36,400
Speaker 1: think independently do with these other things because their wealthare around.

1004
00:55:36,840 --> 00:55:41,160
Speaker 1: Just it's a completely developmental world you're in at that point.

1005
00:55:41,520 --> 00:55:42,960
Speaker 1: And I think for some yeah, like you see kids

1006
00:55:42,960 --> 00:55:44,239
Speaker 1: like that, and I'm like, I guess I have to

1007
00:55:44,239 --> 00:55:45,800
Speaker 1: go to college, but I don't know, like my parents

1008
00:55:45,840 --> 00:55:48,080
Speaker 1: like they're they're like loaded, Like I can just go.

1009
00:55:48,400 --> 00:55:50,080
Speaker 1: I can just live in Santra Pe if I wanted,

1010
00:55:50,800 --> 00:55:54,759
Speaker 1: But they can fund my Instagram career. Yeah, and you

1011
00:55:54,840 --> 00:55:57,120
Speaker 1: just seek and then but like now cut to now

1012
00:55:57,239 --> 00:56:00,880
Speaker 1: one of our thirties, and they're flailing as adults, like

1013
00:56:00,920 --> 00:56:03,399
Speaker 1: they just don't like they're realizing now they're like, oh

1014
00:56:03,440 --> 00:56:05,239
Speaker 1: my god, it was fine, whereas of my twenties and

1015
00:56:05,280 --> 00:56:06,839
Speaker 1: like didn't have a care in the world. But like

1016
00:56:07,480 --> 00:56:09,600
Speaker 1: starting to like think about having a future or a

1017
00:56:09,640 --> 00:56:12,640
Speaker 1: family and realizing you have no job skills or life skills. Like,

1018
00:56:12,960 --> 00:56:16,000
Speaker 1: there's a few who I think are in not good shape.

1019
00:56:16,120 --> 00:56:19,560
Speaker 1: That's assuming that you don't consider dressing up as the

1020
00:56:19,640 --> 00:56:22,879
Speaker 1: Joker and doing open mic knights a life skill. Yeah,

1021
00:56:22,920 --> 00:56:26,800
Speaker 1: that's true, right, Uh well, this is actually an authentic costume.

1022
00:56:27,400 --> 00:56:33,480
Speaker 1: This is some bad costume. Uh well. Speaking of herbal remedies, guys,

1023
00:56:33,680 --> 00:56:37,920
Speaker 1: KFC has been teasing a plant based alternative to their chicken.

1024
00:56:38,600 --> 00:56:42,640
Speaker 1: Uh and man chicken is just storming the Zeke guys

1025
00:56:42,800 --> 00:56:45,439
Speaker 1: in the past couple of weeks because this this went

1026
00:56:45,719 --> 00:56:50,000
Speaker 1: huge in Atlanta. In Atlanta it was they said, first

1027
00:56:50,000 --> 00:56:55,760
Speaker 1: of all, they're offering beyond meat created nuggets and boneless wings.

1028
00:56:56,280 --> 00:56:58,439
Speaker 1: The first thing I want to ask is are those

1029
00:56:58,480 --> 00:57:02,000
Speaker 1: not the same fucking thing? Nuggets first, boneless wing? I

1030
00:57:02,000 --> 00:57:04,160
Speaker 1: mean I get that the process, if it were chicken,

1031
00:57:04,200 --> 00:57:06,600
Speaker 1: a nugget is clearly just that pink goo. They cut

1032
00:57:06,600 --> 00:57:09,880
Speaker 1: into shapes and they fry and then in a bone

1033
00:57:12,280 --> 00:57:14,960
Speaker 1: it's like flesh. Well, I think you can be but

1034
00:57:15,000 --> 00:57:18,280
Speaker 1: it's more of a it's like chicken flesh versus the

1035
00:57:18,360 --> 00:57:21,560
Speaker 1: Google fry. But then I'm saying that when you're doing

1036
00:57:21,760 --> 00:57:23,240
Speaker 1: at this point, when it's beyond me, and I feel

1037
00:57:23,280 --> 00:57:26,360
Speaker 1: like it's essentially the same things, it's in different shapes. Yeah, anyway,

1038
00:57:26,480 --> 00:57:30,200
Speaker 1: I need I need my beyond meat to be breaded. Yeah, look,

1039
00:57:30,240 --> 00:57:32,800
Speaker 1: I just don't Boneless wings are an abomination of My

1040
00:57:32,840 --> 00:57:35,120
Speaker 1: book is all flats all day. Thank you. You already

1041
00:57:35,120 --> 00:57:38,080
Speaker 1: know my position on that. Um So, in Atlanta, they

1042
00:57:38,080 --> 00:57:43,440
Speaker 1: were crowds gathering at eight am to get this new nuggie, okay,

1043
00:57:43,600 --> 00:57:46,160
Speaker 1: and throughout the day they say the dining line wrapped

1044
00:57:46,200 --> 00:57:49,520
Speaker 1: around the building with double looped drive through lines. I

1045
00:57:49,520 --> 00:57:51,240
Speaker 1: don't even know what that is, but that sounds like

1046
00:57:51,240 --> 00:57:54,320
Speaker 1: a fucking nightmare. Like crisis actress, This sounds like crisis.

1047
00:57:54,640 --> 00:57:56,520
Speaker 1: This is a this is a false flag attack against

1048
00:57:56,560 --> 00:57:59,320
Speaker 1: Big Chicken, who's lining up for not real chicken. Well,

1049
00:57:59,360 --> 00:58:01,040
Speaker 1: this is the thing, because I think it's just a

1050
00:58:01,040 --> 00:58:04,280
Speaker 1: lot of people like the whole uh sort of plant

1051
00:58:04,320 --> 00:58:07,560
Speaker 1: based like options at fast food been doing really well,

1052
00:58:07,880 --> 00:58:10,280
Speaker 1: which is interesting. Yeah, I could see it in California

1053
00:58:10,600 --> 00:58:13,200
Speaker 1: or you know, or the West coast sounds that it's

1054
00:58:13,240 --> 00:58:16,560
Speaker 1: pretty liberal, like in certain spots, I feel like I

1055
00:58:16,560 --> 00:58:19,920
Speaker 1: feel like, I don't know, I feel like there's a

1056
00:58:20,000 --> 00:58:24,880
Speaker 1: resistance of like Midwest and South of like like we

1057
00:58:25,000 --> 00:58:28,720
Speaker 1: like real meat, like barbecue, We like you know, real

1058
00:58:28,840 --> 00:58:32,600
Speaker 1: chicken and stuff, and to be that excited in Atlanta

1059
00:58:32,640 --> 00:58:35,480
Speaker 1: about to be honest, I feel like because most chicken

1060
00:58:35,560 --> 00:58:38,480
Speaker 1: nuggets are so processed. In my mind it was never chicken.

1061
00:58:38,640 --> 00:58:41,880
Speaker 1: Chicken nugget is its own category. There's more meat now

1062
00:58:41,920 --> 00:58:44,800
Speaker 1: than there. Yeah, Suddenly, like I feel like that one

1063
00:58:44,840 --> 00:58:47,000
Speaker 1: actually might work as a thing where no one's going

1064
00:58:47,040 --> 00:58:50,120
Speaker 1: to be like, I can't even taste the goo in this,

1065
00:58:50,880 --> 00:58:53,360
Speaker 1: because you can never taste the chicken in a fucking nugget.

1066
00:58:53,360 --> 00:58:56,760
Speaker 1: It was just about the seasoning basically in the sauce um.

1067
00:58:56,800 --> 00:59:00,240
Speaker 1: But they said this test was so success well, they

1068
00:59:00,240 --> 00:59:03,760
Speaker 1: said in five hours, guests purchased the same amount of

1069
00:59:03,800 --> 00:59:07,160
Speaker 1: fried chicken that they would are like in terms of

1070
00:59:07,160 --> 00:59:09,800
Speaker 1: like the popcorn chicken, that they would sell five hours

1071
00:59:09,840 --> 00:59:12,400
Speaker 1: of what they would normally do in a week. Damn.

1072
00:59:13,160 --> 00:59:18,280
Speaker 1: I I think this is like probably an under rated

1073
00:59:18,560 --> 00:59:22,440
Speaker 1: like market. Capitalistically speaking, this is going to be a

1074
00:59:22,560 --> 00:59:27,280
Speaker 1: huge wave of coming there's this global data poll that

1075
00:59:27,400 --> 00:59:31,280
Speaker 1: found that a full seventy percent of the population at

1076
00:59:31,360 --> 00:59:36,840
Speaker 1: large is reducing meat consumption or leaving meat behind all together.

1077
00:59:37,400 --> 00:59:42,400
Speaker 1: And it's really driven by millennials, Like as you know,

1078
00:59:42,440 --> 00:59:46,240
Speaker 1: they're becoming adults and making their own purchasing decisions. It's

1079
00:59:46,640 --> 00:59:49,920
Speaker 1: becoming just more and more of the population is is

1080
00:59:49,960 --> 00:59:55,160
Speaker 1: now either going full like vegan or vegetarian, or more

1081
00:59:55,640 --> 00:59:58,160
Speaker 1: just wanting to like that. Now there's the thing of

1082
00:59:58,200 --> 01:00:01,960
Speaker 1: like I'm a weekday vegetarian arian or you know, weekday vegan.

1083
01:00:02,920 --> 01:00:06,200
Speaker 1: I have to step on a story we might talk about,

1084
01:00:06,240 --> 01:00:08,520
Speaker 1: but like, you know, the whole Amazon thing, you know,

1085
01:00:08,880 --> 01:00:11,680
Speaker 1: it's like the Amazon's on fire and it's just like

1086
01:00:12,400 --> 01:00:14,920
Speaker 1: you know what, Oh, I can't believe it. Then you

1087
01:00:14,960 --> 01:00:17,600
Speaker 1: read you read into it and they're they're clearing land

1088
01:00:18,000 --> 01:00:21,000
Speaker 1: for cattle, and so it's like everyone's just you know this,

1089
01:00:21,200 --> 01:00:23,200
Speaker 1: you know, we talk about the boycotts and stuff like that,

1090
01:00:23,240 --> 01:00:26,000
Speaker 1: like if you everyone's like so upset and being like,

1091
01:00:26,280 --> 01:00:28,560
Speaker 1: you know, screw us as humans, But like how many

1092
01:00:28,600 --> 01:00:32,040
Speaker 1: people are genuinely being like, Okay, I'm gonna like not

1093
01:00:32,200 --> 01:00:34,720
Speaker 1: eat meat for a whole month. And if we all

1094
01:00:34,760 --> 01:00:37,320
Speaker 1: did that like maybe there wouldn't be this motivation to

1095
01:00:37,400 --> 01:00:40,600
Speaker 1: clear so much Amazon forest out of the way. I

1096
01:00:40,800 --> 01:00:44,320
Speaker 1: certainly have not. I I've been complaining about the Amazon

1097
01:00:44,520 --> 01:00:46,960
Speaker 1: and I have not adjusted my meat consumption at all.

1098
01:00:47,560 --> 01:00:50,240
Speaker 1: You know, Um, I don't know. I mean that is

1099
01:00:50,640 --> 01:00:54,760
Speaker 1: like it seems like a very real effective thing for

1100
01:00:54,800 --> 01:00:56,520
Speaker 1: this beyond meat and stuff to be Yeah. Well, and

1101
01:00:56,520 --> 01:00:58,920
Speaker 1: it's also like a very it's a direct thing you

1102
01:00:58,960 --> 01:01:01,480
Speaker 1: can do that you can at least feel like it's

1103
01:01:01,520 --> 01:01:03,880
Speaker 1: like some of the lowest hanging fruit in terms of

1104
01:01:03,920 --> 01:01:06,600
Speaker 1: being like, Okay, I can I can sort of reduce

1105
01:01:06,680 --> 01:01:10,480
Speaker 1: my impact if I am eating differently. That is something

1106
01:01:10,520 --> 01:01:14,080
Speaker 1: you have control of. But you know, yeah, and somehow

1107
01:01:14,160 --> 01:01:17,480
Speaker 1: McDonald's is sleeping on this because Burger King got the

1108
01:01:17,600 --> 01:01:21,960
Speaker 1: Beyond Burgers, they got the Beyond Whopper, and McDonald's like

1109
01:01:21,960 --> 01:01:25,320
Speaker 1: one of the biggest purchasers of beef. Yeah, like I'm

1110
01:01:25,320 --> 01:01:29,040
Speaker 1: wondering what that delicate, but like what that profit based

1111
01:01:29,080 --> 01:01:31,360
Speaker 1: balances w they have to figure out how they you know,

1112
01:01:31,720 --> 01:01:34,240
Speaker 1: throttle that down and bring this other ship online. I'm

1113
01:01:34,280 --> 01:01:36,640
Speaker 1: just worried about them as all. Yeah, yes, I mean,

1114
01:01:36,680 --> 01:01:39,080
Speaker 1: you know, thoughts and prayers to McDonald's. I think I

1115
01:01:39,320 --> 01:01:41,520
Speaker 1: think beyond it impossible. It might be in like some

1116
01:01:41,640 --> 01:01:44,640
Speaker 1: sort of bidding war right now for McDonald's. That's whoever

1117
01:01:44,800 --> 01:01:48,400
Speaker 1: lands that go into like those things people are getting

1118
01:01:48,480 --> 01:01:52,640
Speaker 1: Ronald McDonald fucked up it sales, Yeah, like, hey man,

1119
01:01:52,680 --> 01:01:57,200
Speaker 1: you want should I get another eight ball? Dude? Got

1120
01:01:57,280 --> 01:01:59,320
Speaker 1: dancers coming up to the sweet later, so you know.

1121
01:01:59,640 --> 01:02:02,760
Speaker 1: But I'm the meat and a McDonald's hamburger, like the

1122
01:02:02,800 --> 01:02:05,440
Speaker 1: Big Mac is not about meat quality, like the Big

1123
01:02:05,520 --> 01:02:07,800
Speaker 1: Mick is going to be just as good with like

1124
01:02:07,880 --> 01:02:10,720
Speaker 1: a beyond That's what That's what I'm saying. Like when

1125
01:02:10,800 --> 01:02:12,960
Speaker 1: nuggets like I didn't know, I had never thought it

1126
01:02:13,040 --> 01:02:15,320
Speaker 1: was chicken, Like it could have been planted based the

1127
01:02:15,360 --> 01:02:17,400
Speaker 1: whole time. I wouldn't have known because to me, it's

1128
01:02:17,400 --> 01:02:19,960
Speaker 1: not what in my mind go oh that's chicky. And

1129
01:02:20,080 --> 01:02:22,120
Speaker 1: the burgers like when you look at a fucking patty

1130
01:02:22,120 --> 01:02:24,560
Speaker 1: you're like, yeah, this is this meat. I don't know.

1131
01:02:25,040 --> 01:02:26,720
Speaker 1: That's why I feel like Taco Bell could get away

1132
01:02:26,720 --> 01:02:30,040
Speaker 1: with that ship too, Like the ground beef. Are you

1133
01:02:30,360 --> 01:02:34,640
Speaker 1: are we being reas it's fucking old tone nails and

1134
01:02:34,720 --> 01:02:38,400
Speaker 1: the differences. We will have to confront the reality of

1135
01:02:38,480 --> 01:02:42,520
Speaker 1: what it tastes when that isn't like sawdust and like

1136
01:02:42,680 --> 01:02:45,400
Speaker 1: meat flavoring. Um, oh can we by the way, can

1137
01:02:45,440 --> 01:02:52,800
Speaker 1: we get Walking Phoenix to play Ronald McDonald Yeah, um, popeyees. Meanwhile,

1138
01:02:52,960 --> 01:02:55,480
Speaker 1: I mean that so, something that we're seeing now with

1139
01:02:55,920 --> 01:03:00,880
Speaker 1: these test marketing things where they become huge global phenomenons

1140
01:03:00,920 --> 01:03:04,840
Speaker 1: due to a social media is that the workers are

1141
01:03:04,960 --> 01:03:07,720
Speaker 1: kind of, uh, it's not great for them. They go

1142
01:03:07,920 --> 01:03:11,120
Speaker 1: from like being a you know, they're staffed like a

1143
01:03:11,360 --> 01:03:15,360
Speaker 1: middling fast food restaurant, and then suddenly it's like, you know,

1144
01:03:15,600 --> 01:03:19,440
Speaker 1: they're working at an Apple store on iPhone drop day,

1145
01:03:19,560 --> 01:03:23,080
Speaker 1: like it's right. Yeah, the people are talking about feeling

1146
01:03:23,200 --> 01:03:26,440
Speaker 1: like one eighteen year old said, I was working like

1147
01:03:26,520 --> 01:03:28,720
Speaker 1: a slave in the back prepping the buns with pickles

1148
01:03:28,760 --> 01:03:33,240
Speaker 1: and the spicy mayo. And another person said everyone wanted

1149
01:03:33,280 --> 01:03:36,160
Speaker 1: to quit so bad because it was that bad. We

1150
01:03:36,280 --> 01:03:40,160
Speaker 1: have never seen it get this insanely busy. So yeah,

1151
01:03:40,160 --> 01:03:43,200
Speaker 1: I mean it's just one person made six hundred sandwiches

1152
01:03:43,320 --> 01:03:48,400
Speaker 1: during their shift. Yeah I was. Yeah, I mean we

1153
01:03:48,560 --> 01:03:51,640
Speaker 1: got in before it got really really crazy. And we're

1154
01:03:51,640 --> 01:03:54,680
Speaker 1: Popeye hipsters, right, We're Popeye hipsters, Like we were into

1155
01:03:54,760 --> 01:03:57,880
Speaker 1: it kind of before the buzz like we already new

1156
01:03:58,040 --> 01:03:59,800
Speaker 1: like we're kind of like onto the next thing already

1157
01:03:59,840 --> 01:04:02,600
Speaker 1: were we're on the CAFC nuggets. Are you guys like

1158
01:04:02,760 --> 01:04:06,479
Speaker 1: the Popeyes Chickens any much? It was already a little

1159
01:04:06,520 --> 01:04:08,880
Speaker 1: bit busy, and you could tell it was they were

1160
01:04:08,920 --> 01:04:11,280
Speaker 1: doing a great job though, great job, great job with

1161
01:04:11,320 --> 01:04:14,840
Speaker 1: the Popeye's crew. Uh. And then real quick, Netflix has

1162
01:04:14,880 --> 01:04:17,720
Speaker 1: a movie coming out called The Irishman, the new Martin

1163
01:04:17,800 --> 01:04:22,040
Speaker 1: Scorsese Mafia hit Man movie. It's about the hit man

1164
01:04:22,120 --> 01:04:26,600
Speaker 1: who allegedly killed Jimmy Hoffa. Um, and I thought he

1165
01:04:26,680 --> 01:04:32,280
Speaker 1: was alive. Yeah, you're thinking of hope, No, it wasn't.

1166
01:04:32,320 --> 01:04:36,000
Speaker 1: There wasn't there a conspiracy theory that Jimmy Hoffa wasn't dead? Yeah,

1167
01:04:36,120 --> 01:04:38,840
Speaker 1: I think because people don't know where his body is,

1168
01:04:38,960 --> 01:04:43,720
Speaker 1: right right, right, so they there's a theory that he's

1169
01:04:43,920 --> 01:04:48,640
Speaker 1: various people like, oh he assumed other people that he became.

1170
01:04:49,360 --> 01:04:53,760
Speaker 1: That's when it gets real cool. Matthew McConaughey, I think one. Alright,

1171
01:04:54,120 --> 01:04:59,040
Speaker 1: Uh they But so this is being put out by

1172
01:04:59,720 --> 01:05:04,880
Speaker 1: like it's been kind of a legendary production in Hollywood

1173
01:05:05,000 --> 01:05:09,040
Speaker 1: because nobody could fund it. Because what he wanted to

1174
01:05:09,160 --> 01:05:13,400
Speaker 1: do is you know, have al Pacino and Robert de

1175
01:05:13,480 --> 01:05:16,840
Speaker 1: Niro in it, but then they're playing characters like there's

1176
01:05:16,880 --> 01:05:19,720
Speaker 1: a lot of flashbacks, so you're seeing them as young men,

1177
01:05:20,000 --> 01:05:22,000
Speaker 1: so they have to like d age them. So people

1178
01:05:22,040 --> 01:05:26,040
Speaker 1: are like, this is like a prestige oscar movie, but

1179
01:05:26,200 --> 01:05:29,440
Speaker 1: it's gonna end up costing like two hundred million dollars.

1180
01:05:29,960 --> 01:05:33,280
Speaker 1: Oh because of all the because of like digitize d

1181
01:05:33,440 --> 01:05:37,560
Speaker 1: aging all that stuff, making Appaccino look like he's tall.

1182
01:05:38,360 --> 01:05:41,560
Speaker 1: Uh you know, Miles, you were showing us actually a

1183
01:05:41,680 --> 01:05:44,640
Speaker 1: picture of de Niro. I guess was playing a tall

1184
01:05:44,800 --> 01:05:47,400
Speaker 1: character because he is in some lifts that were like

1185
01:05:47,600 --> 01:05:51,760
Speaker 1: Frankenstein is in the job, same kind of shoe, right, Yeah,

1186
01:05:52,000 --> 01:05:54,520
Speaker 1: he looks like Louis the fourteenth a little bit with

1187
01:05:54,640 --> 01:05:58,560
Speaker 1: those big old chunky list heels. Uh. So, nobody was

1188
01:05:58,640 --> 01:06:01,320
Speaker 1: going to make this movie for the studio system because

1189
01:06:01,360 --> 01:06:03,600
Speaker 1: it wasn't gonna make its money back because they knew

1190
01:06:03,680 --> 01:06:05,680
Speaker 1: upfront it's like a bulk of the budget has to

1191
01:06:05,720 --> 01:06:09,520
Speaker 1: go into making these exactly septagenarians like younger in right.

1192
01:06:09,720 --> 01:06:13,160
Speaker 1: But Netflix because their model is more like getting their

1193
01:06:13,240 --> 01:06:18,320
Speaker 1: name in the news and seeming indispensable. Uh, stepped in

1194
01:06:18,720 --> 01:06:21,960
Speaker 1: and they funded it. Uh it did end up costing

1195
01:06:22,080 --> 01:06:24,840
Speaker 1: I think hundred and sixty million dollars and that's not

1196
01:06:24,960 --> 01:06:29,520
Speaker 1: even taking marketing into account. Um. So yeah, after marketing

1197
01:06:29,560 --> 01:06:32,520
Speaker 1: and distribution, it would have to make around four hundred

1198
01:06:32,600 --> 01:06:37,320
Speaker 1: to four hundred fifty million to break even. Uh. Both Netflix,

1199
01:06:37,400 --> 01:06:39,840
Speaker 1: they don't have to make back a specific dollar amount.

1200
01:06:39,880 --> 01:06:43,280
Speaker 1: They just need to kind of bolster their images a

1201
01:06:43,400 --> 01:06:47,560
Speaker 1: necessary commodity. Um. But they just took a hit because

1202
01:06:47,800 --> 01:06:51,240
Speaker 1: they are trying to get like a wide release, like

1203
01:06:51,400 --> 01:06:57,040
Speaker 1: a standard like big movie that releases in thousands of theaters,

1204
01:06:57,240 --> 01:07:01,160
Speaker 1: and theater chains have denied them that right because they

1205
01:07:01,560 --> 01:07:04,440
Speaker 1: didn't want to leave it in theaters alone without going

1206
01:07:04,480 --> 01:07:07,560
Speaker 1: to Netflix for the requisite. I think it's three months

1207
01:07:08,480 --> 01:07:13,480
Speaker 1: is what theaters demand before it starts appearing elsewhere. Oh

1208
01:07:14,080 --> 01:07:16,320
Speaker 1: So like with Roma, that's why I was very limited

1209
01:07:16,480 --> 01:07:18,400
Speaker 1: because they're just like the theaters that were like, yeah,

1210
01:07:18,560 --> 01:07:20,280
Speaker 1: this is a this is a good film, and we'll

1211
01:07:20,320 --> 01:07:22,120
Speaker 1: put it there. But other ones are just like n

1212
01:07:22,360 --> 01:07:27,120
Speaker 1: C and the big theater chains they have, They're like, yeah,

1213
01:07:27,600 --> 01:07:30,480
Speaker 1: if you hold this back for the standard two to

1214
01:07:30,600 --> 01:07:34,080
Speaker 1: three months, then it you know, people are going to

1215
01:07:34,200 --> 01:07:37,600
Speaker 1: feel to write, and I mean they're kind of right, like,

1216
01:07:37,680 --> 01:07:41,080
Speaker 1: I don't. I think it probably suppresses business. If you're like,

1217
01:07:41,320 --> 01:07:45,160
Speaker 1: I can watch this on Netflix and are like I

1218
01:07:45,200 --> 01:07:48,400
Speaker 1: knew that from the start about Roma and ended up

1219
01:07:48,440 --> 01:07:52,160
Speaker 1: watching it at home. Why wouldn't they Why wouldn't they

1220
01:07:52,240 --> 01:07:55,960
Speaker 1: just keep it in the standard release because they want to.

1221
01:07:56,240 --> 01:07:59,840
Speaker 1: They want it to feel like I think Netflix one,

1222
01:08:00,160 --> 01:08:03,400
Speaker 1: to feel like a movie studio. And so they're also

1223
01:08:03,480 --> 01:08:07,720
Speaker 1: releasing twelve other movies that are I guess ten other

1224
01:08:07,840 --> 01:08:11,240
Speaker 1: movies that are all like Oscar prestige movies, uh this

1225
01:08:11,560 --> 01:08:15,800
Speaker 1: year alone, just to try and become like win an

1226
01:08:15,800 --> 01:08:18,000
Speaker 1: Oscar essentially there. Yeah, but so put them in the

1227
01:08:18,280 --> 01:08:20,920
Speaker 1: theaters and play. I don't understand why they won't, like,

1228
01:08:21,080 --> 01:08:23,800
Speaker 1: do what the theaters want right now? Oh, I think

1229
01:08:23,920 --> 01:08:26,080
Speaker 1: I won't they leave it in theaters for a longer

1230
01:08:26,160 --> 01:08:28,640
Speaker 1: period of time because they're stubborn and they're like, no,

1231
01:08:28,800 --> 01:08:32,000
Speaker 1: we were doing this for our streaming service. It's also

1232
01:08:32,080 --> 01:08:35,400
Speaker 1: so funny because it's like if Blockbusters started making movies,

1233
01:08:36,120 --> 01:08:38,439
Speaker 1: you know, if Blockbuster was just like, why don't we

1234
01:08:38,600 --> 01:08:43,040
Speaker 1: just make these like something like the Guy behind the Counter.

1235
01:08:43,760 --> 01:08:46,840
Speaker 1: I'm better than all these these directors the problem with

1236
01:08:46,920 --> 01:08:52,120
Speaker 1: pulpitiction actually is all right, that's our VP of development, right,

1237
01:08:54,320 --> 01:08:56,200
Speaker 1: But yeah, I mean that's sort of the thing where

1238
01:08:56,200 --> 01:08:58,960
Speaker 1: they're butting up against their position as a disruptor in

1239
01:08:59,320 --> 01:09:01,320
Speaker 1: the film in the street, and then you're kind of

1240
01:09:01,360 --> 01:09:03,840
Speaker 1: seeing them sort of butting up against the established I

1241
01:09:04,000 --> 01:09:06,120
Speaker 1: was like, well, you need the theaters, and the theaters

1242
01:09:06,160 --> 01:09:09,160
Speaker 1: and the traditional studios kind of get this is how

1243
01:09:09,240 --> 01:09:11,000
Speaker 1: you do business. And I think they're like, this is

1244
01:09:11,320 --> 01:09:12,960
Speaker 1: if you want to funk around and be like the

1245
01:09:13,040 --> 01:09:15,240
Speaker 1: other guys, then you got to follow the rules. And

1246
01:09:15,280 --> 01:09:18,479
Speaker 1: I think that's nothing like you guys, which I don't

1247
01:09:18,479 --> 01:09:20,160
Speaker 1: know if that's going to be to their detriment or not.

1248
01:09:20,320 --> 01:09:23,400
Speaker 1: But we're Netflix, bro. I just I don't I don't know.

1249
01:09:23,640 --> 01:09:26,360
Speaker 1: I deficit spending, like the world's fucking ending, I know how.

1250
01:09:26,520 --> 01:09:28,920
Speaker 1: I don't get every time you hear like like Twitter

1251
01:09:29,040 --> 01:09:32,519
Speaker 1: and Netflix are these like you know, are super popular things,

1252
01:09:32,560 --> 01:09:34,240
Speaker 1: and you hear that they don't make any money at all.

1253
01:09:34,800 --> 01:09:37,479
Speaker 1: You know, they lose money. I hear Netflix loses. I don't.

1254
01:09:37,560 --> 01:09:39,760
Speaker 1: I don't get billions. Yeah, I don't get how they

1255
01:09:39,880 --> 01:09:42,920
Speaker 1: how it sustains itself. Well, it's just enough to keep

1256
01:09:43,080 --> 01:09:46,240
Speaker 1: growing their subscriber base and then eventually becomes so big

1257
01:09:46,439 --> 01:09:50,960
Speaker 1: that it'll force like Google or Apple, Like, they just

1258
01:09:51,040 --> 01:09:52,600
Speaker 1: want to get so big that someone's gonna have to

1259
01:09:52,640 --> 01:09:56,400
Speaker 1: buy them, right, That's kind of yeah. I think that's

1260
01:09:56,439 --> 01:09:58,600
Speaker 1: what I Every time I asked somebody who like does business, like,

1261
01:09:58,680 --> 01:10:01,040
Speaker 1: what is their endgame to They're just trying to dominate

1262
01:10:01,120 --> 01:10:04,479
Speaker 1: everything and just have Amazon absorb them. And we're somewhere, Yeah,

1263
01:10:04,479 --> 01:10:07,400
Speaker 1: I'd be like, okay, we'll buy you now. Wow. But

1264
01:10:07,600 --> 01:10:10,479
Speaker 1: that's a you know, they're also one of one of

1265
01:10:10,520 --> 01:10:13,760
Speaker 1: their other oscar Bid movies is in there, like Ice

1266
01:10:13,880 --> 01:10:17,519
Speaker 1: right now, The King. Have you seen? Yeah, Timothy Shellman,

1267
01:10:17,840 --> 01:10:23,080
Speaker 1: Robert Pattinson with like long hair, looking hot, his bowl cut. Yeah,

1268
01:10:23,360 --> 01:10:27,679
Speaker 1: it looks pretty solid. Yeah. Oh is this a thirst trap? Yes?

1269
01:10:29,240 --> 01:10:32,640
Speaker 1: Is it? That's what people were saying. They were is

1270
01:10:32,720 --> 01:10:35,960
Speaker 1: so and so picture a thirst trap him with the

1271
01:10:36,040 --> 01:10:43,960
Speaker 1: bowl cut hair. Twitter, Yeah, wow, fighting words. I just

1272
01:10:44,640 --> 01:10:48,479
Speaker 1: I hate twitters. You gotta look at it when you

1273
01:10:48,560 --> 01:10:50,320
Speaker 1: need it. I don't love the idea of like a

1274
01:10:50,479 --> 01:10:52,760
Speaker 1: thirst trap. It's just like I'm gonna look at this.

1275
01:10:52,960 --> 01:10:57,920
Speaker 1: Oh no, it's an attractive person. No, here, I am

1276
01:10:58,080 --> 01:11:03,799
Speaker 1: masturbating at work. They got me. They got me again.

1277
01:11:04,320 --> 01:11:06,479
Speaker 1: I'm gonna see if this bird scooter I left around

1278
01:11:06,520 --> 01:11:11,479
Speaker 1: the corners they're still. Uh Nick, it's been a pleasure

1279
01:11:11,560 --> 01:11:15,840
Speaker 1: having you. Uh where can people find you and follow you? Well?

1280
01:11:15,880 --> 01:11:19,320
Speaker 1: The big thing is, we got a new podcast that

1281
01:11:19,479 --> 01:11:23,519
Speaker 1: just dropped this week, Get Rich Nick, Me and Nick Turner.

1282
01:11:23,560 --> 01:11:29,360
Speaker 1: I believe you Beautiful's it's a he has a song

1283
01:11:29,560 --> 01:11:34,280
Speaker 1: like a siren, a police siren. Um. But we it's

1284
01:11:34,280 --> 01:11:36,160
Speaker 1: called Get Rich Nick. Each week we try to find

1285
01:11:36,240 --> 01:11:39,519
Speaker 1: a way to make money. We did donating plasma the

1286
01:11:39,600 --> 01:11:41,360
Speaker 1: first week, and then next week we go to the

1287
01:11:41,439 --> 01:11:45,160
Speaker 1: horse track. But you can find that anywhere. And um,

1288
01:11:45,600 --> 01:11:47,720
Speaker 1: yeah you need a guy for the horse track. Yeah,

1289
01:11:48,080 --> 01:11:50,360
Speaker 1: well we win already, but if you I'm always down

1290
01:11:50,400 --> 01:11:52,479
Speaker 1: to go again. I know a few people who like

1291
01:11:53,040 --> 01:11:55,720
Speaker 1: are they just know how to pick horses. This one

1292
01:11:55,760 --> 01:11:58,080
Speaker 1: guy I met, his name is Tom Sawyer. Yeah, he's

1293
01:11:58,120 --> 01:12:00,360
Speaker 1: this old guy. He has a golden horseshoe ring and

1294
01:12:00,479 --> 01:12:04,240
Speaker 1: like like sees the matrix at horse races that Santa Anita.

1295
01:12:04,479 --> 01:12:07,800
Speaker 1: And then this other kid I know who like sort

1296
01:12:07,840 --> 01:12:10,080
Speaker 1: of got pulled into that same world. He's like trying

1297
01:12:10,160 --> 01:12:12,320
Speaker 1: to create like a full on algor like a system

1298
01:12:12,520 --> 01:12:14,920
Speaker 1: to the horses, and it's actually kind of getting good.

1299
01:12:15,200 --> 01:12:18,040
Speaker 1: There's a there's this story we kind of touched on UM,

1300
01:12:18,280 --> 01:12:20,360
Speaker 1: but it's like in Hong Kong, there was this guy

1301
01:12:20,439 --> 01:12:25,320
Speaker 1: who figured out system and uh, and it became so

1302
01:12:25,520 --> 01:12:27,960
Speaker 1: easy for him to pick horses because you know, the

1303
01:12:28,000 --> 01:12:30,320
Speaker 1: horse track, they have the odds and the odds are

1304
01:12:30,720 --> 01:12:32,800
Speaker 1: all these factors that they put in. If you listen

1305
01:12:32,840 --> 01:12:34,479
Speaker 1: to these guys talk about, he's like this, this is

1306
01:12:34,520 --> 01:12:36,880
Speaker 1: a horse that's good on a wet track, you know,

1307
01:12:37,000 --> 01:12:39,040
Speaker 1: and he's and if he hasn't he needs a three

1308
01:12:39,120 --> 01:12:40,840
Speaker 1: day If he has three days of rush, he's that's

1309
01:12:40,840 --> 01:12:44,280
Speaker 1: where he's rolling a fire and all solders. Um. But

1310
01:12:44,400 --> 01:12:47,240
Speaker 1: then this guy figured out factors outside of what the

1311
01:12:47,280 --> 01:12:49,880
Speaker 1: rest the race track factors in and he like it

1312
01:12:50,000 --> 01:12:52,920
Speaker 1: became so easy for him to win. There's this story

1313
01:12:53,000 --> 01:12:56,439
Speaker 1: of him like winning like the biggest jackpot you can

1314
01:12:56,520 --> 01:12:58,400
Speaker 1: win in this one race, and he just threw it

1315
01:12:58,400 --> 01:13:02,320
Speaker 1: in a safe and never cashed it. UM. I think

1316
01:13:02,320 --> 01:13:04,840
Speaker 1: I guess if you don't catch checks, the Hong Kong

1317
01:13:04,920 --> 01:13:07,639
Speaker 1: government gives it to charity or something like that. Because

1318
01:13:07,680 --> 01:13:11,400
Speaker 1: I think the Hong Kong government runs the gambling thing

1319
01:13:11,479 --> 01:13:14,040
Speaker 1: or something like that. But yeah, there is, there is

1320
01:13:14,120 --> 01:13:18,800
Speaker 1: like these crazy systems. Yeah. Yeah, I've always said the

1321
01:13:18,840 --> 01:13:23,160
Speaker 1: Hong Kong government's fucking lady dude. Yeah, they're the they're

1322
01:13:23,200 --> 01:13:25,559
Speaker 1: the good ones and the China one is the bad one. Yeah.

1323
01:13:25,600 --> 01:13:27,479
Speaker 1: I think is that what it is? I gotta read it.

1324
01:13:27,600 --> 01:13:29,640
Speaker 1: It's all about if you're a pro democracy or not,

1325
01:13:29,960 --> 01:13:33,679
Speaker 1: as Hong Kong government's pro democracy. Well, you know, it's depends.

1326
01:13:34,040 --> 01:13:37,400
Speaker 1: It's a mixture because there's a chief executive that Beijing

1327
01:13:37,560 --> 01:13:40,639
Speaker 1: has to approve. So typically the chief executive is someone

1328
01:13:40,720 --> 01:13:44,680
Speaker 1: that isn't really a direct threat to Beijing, so that

1329
01:13:44,920 --> 01:13:46,880
Speaker 1: person is sort of you know, they say it's a

1330
01:13:46,920 --> 01:13:49,160
Speaker 1: group of people that pick, but typically it's someone that

1331
01:13:49,400 --> 01:13:53,160
Speaker 1: is Beijing approved. And then they have a legislative council

1332
01:13:53,600 --> 01:13:56,320
Speaker 1: that people vote on, like of the seventies seats, they

1333
01:13:56,479 --> 01:13:59,679
Speaker 1: vote on forty or thirty, and then the other seats

1334
01:13:59,720 --> 01:14:02,280
Speaker 1: are by like pro business, Like each industry gets a

1335
01:14:02,360 --> 01:14:06,000
Speaker 1: seat in like the Congress basically, and so each industry

1336
01:14:06,120 --> 01:14:09,360
Speaker 1: basically puts a pro China person in there because of business.

1337
01:14:09,720 --> 01:14:13,760
Speaker 1: So it's it's very that's a better system than China. Yeah, well, yeah,

1338
01:14:13,840 --> 01:14:18,720
Speaker 1: and that's how well they take you to China and

1339
01:14:18,800 --> 01:14:22,200
Speaker 1: make you disappear right, Like obviously they have. They enjoy

1340
01:14:22,280 --> 01:14:26,000
Speaker 1: a little more freedom to sort of speak freely about

1341
01:14:26,000 --> 01:14:28,240
Speaker 1: their feelings about government versus like in the mainland, Like

1342
01:14:28,320 --> 01:14:30,639
Speaker 1: it's just unheard of, you know, Like I have friends

1343
01:14:30,680 --> 01:14:34,640
Speaker 1: who are teaching there or have taught there, and like

1344
01:14:35,040 --> 01:14:37,439
Speaker 1: their texts if you're asking, like what's going on in China,

1345
01:14:37,920 --> 01:14:39,680
Speaker 1: they're like they just be like, Oh, it's chill. And

1346
01:14:39,720 --> 01:14:41,920
Speaker 1: then when they get back there, like, I can't. You can't.

1347
01:14:41,920 --> 01:14:45,040
Speaker 1: I can't like communicate like that on my phone like

1348
01:14:45,280 --> 01:14:48,040
Speaker 1: I would. I would never do that. I'll talk to

1349
01:14:48,080 --> 01:14:50,840
Speaker 1: you in person, but like, I'm not leaving a paper trail.

1350
01:14:53,080 --> 01:14:56,960
Speaker 1: Is there a tweet you've been enjoying? Oh, Paul Britton

1351
01:14:57,000 --> 01:15:00,360
Speaker 1: had a tweet the other day. It was something about

1352
01:15:00,840 --> 01:15:06,520
Speaker 1: wanting to design socks for toes. Twar toes. Yeah, individual

1353
01:15:06,640 --> 01:15:10,400
Speaker 1: socks for toes, socks for toes. That was a very

1354
01:15:10,439 --> 01:15:14,200
Speaker 1: funny image factor of my business. What's Tobeani's Toby and

1355
01:15:14,600 --> 01:15:20,200
Speaker 1: Toby shit? How far long is he with that? It

1356
01:15:20,400 --> 01:15:24,080
Speaker 1: might only be as far as the tweet, but you know,

1357
01:15:24,280 --> 01:15:26,160
Speaker 1: maybe maybe you guys could hook up and have a

1358
01:15:26,200 --> 01:15:30,160
Speaker 1: whole line of actually do because I'm currently upside down

1359
01:15:30,240 --> 01:15:33,040
Speaker 1: on this thing. Yeah, myles sunk a couple of mill

1360
01:15:33,200 --> 01:15:37,120
Speaker 1: and the thing if your toes are cold, I just

1361
01:15:37,200 --> 01:15:39,479
Speaker 1: I want to see the ads like the Netflix of

1362
01:15:40,640 --> 01:15:46,400
Speaker 1: you have towere disrupting the feet industry like that, Let's

1363
01:15:46,439 --> 01:15:49,600
Speaker 1: talk after this sounds good. Miles, where can people find you?

1364
01:15:49,680 --> 01:15:51,439
Speaker 1: And is their tweet you've been enjoying? Yeah, you can

1365
01:15:51,479 --> 01:15:54,000
Speaker 1: find me on Twitter and Instagram at Miles of Gray.

1366
01:15:54,200 --> 01:15:57,840
Speaker 1: A tweet I like is from Dana Donnelly at Dana

1367
01:15:58,040 --> 01:16:01,439
Speaker 1: Donneley Deo n l Y. I like a lot of tweets.

1368
01:16:01,760 --> 01:16:03,519
Speaker 1: We have to have run the show soon. Uh so

1369
01:16:03,680 --> 01:16:05,920
Speaker 1: depressing when people from your high school get married and

1370
01:16:06,000 --> 01:16:07,640
Speaker 1: have kids like they don't even know that you can

1371
01:16:07,680 --> 01:16:09,559
Speaker 1: move to l A and date four year old comedians

1372
01:16:09,600 --> 01:16:11,200
Speaker 1: who only have enough money on their e B T

1373
01:16:11,360 --> 01:16:16,280
Speaker 1: card to buy a post sex snack for themselves. Boom boom, Man,

1374
01:16:16,360 --> 01:16:20,479
Speaker 1: if you've had EB two, what does come on? Man?

1375
01:16:21,360 --> 01:16:27,080
Speaker 1: You balling that hard? Like unemployment? Oh get that unemployment card? Yeah?

1376
01:16:28,080 --> 01:16:32,720
Speaker 1: Oh boy, Jack just showed his ass. I also think

1377
01:16:32,760 --> 01:16:34,599
Speaker 1: I also think it's funny that I'm at the age

1378
01:16:34,640 --> 01:16:42,040
Speaker 1: now where I'm a punchline comedian, the worst type of

1379
01:16:42,120 --> 01:16:44,280
Speaker 1: person you ever want. As the listeners will see we're

1380
01:16:44,280 --> 01:16:47,160
Speaker 1: in your balling As Hotels series and you said we're

1381
01:16:47,160 --> 01:16:58,520
Speaker 1: cool getting room service. Uh. Couple of tweets I've enjoyed

1382
01:16:59,280 --> 01:17:03,760
Speaker 1: rocket at tweets by Rocket tweeted me, I'm terrified of

1383
01:17:03,880 --> 01:17:10,720
Speaker 1: vals therapist. Why me only sometimes? Wow, it's a thinker. Uh.

1384
01:17:10,920 --> 01:17:14,040
Speaker 1: Stephen McCann tweeted professionally, I'd love for what happened to

1385
01:17:14,120 --> 01:17:20,160
Speaker 1: call a flower to happen to me. Paul Tompkins tweeted

1386
01:17:20,200 --> 01:17:23,519
Speaker 1: a screen cap of like, enter a new password below

1387
01:17:23,920 --> 01:17:27,960
Speaker 1: and he has like one letter one letter in and

1388
01:17:28,560 --> 01:17:31,519
Speaker 1: below it the box says very weak, Please enter a

1389
01:17:31,560 --> 01:17:41,360
Speaker 1: stronger password. You goddamn give me two seconds. Man. I

1390
01:17:41,439 --> 01:17:43,840
Speaker 1: saw Hannibal Burds do this the other day, but he

1391
01:17:43,960 --> 01:17:46,240
Speaker 1: had it was where you like sign your name, you

1392
01:17:46,280 --> 01:17:48,720
Speaker 1: know when you go to Starbucks and they twist the

1393
01:17:49,400 --> 01:17:52,479
Speaker 1: patarat sign your name, And he had just like kind

1394
01:17:52,520 --> 01:18:02,000
Speaker 1: of colored in the entire killed maker. Uh. You can

1395
01:18:02,080 --> 01:18:05,640
Speaker 1: find me on Twitter at Jack Underscore O'Brien. You can

1396
01:18:05,680 --> 01:18:08,000
Speaker 1: find us on Twitter at daily Zeitgeist were at the

1397
01:18:08,120 --> 01:18:10,679
Speaker 1: Daily Zeitgeist on Instagram. We have a Facebook fan page

1398
01:18:10,720 --> 01:18:13,599
Speaker 1: on a website Daily zygeis dot com where we post

1399
01:18:13,680 --> 01:18:17,080
Speaker 1: our episodes in our footnote where we link off to

1400
01:18:17,160 --> 01:18:20,320
Speaker 1: the information and we talked about today's episode as well

1401
01:18:20,400 --> 01:18:23,400
Speaker 1: as a song we ride out on. What are we

1402
01:18:23,439 --> 01:18:27,599
Speaker 1: going to ride out on today? Writing out on Joe

1403
01:18:27,840 --> 01:18:31,760
Speaker 1: armand Jones, Who's I don't know artist I have. I've

1404
01:18:31,880 --> 01:18:35,439
Speaker 1: just recently started listening to uh and the track is

1405
01:18:35,479 --> 01:18:39,280
Speaker 1: called almost Went Too Far as a very Retroe vibe again,

1406
01:18:39,560 --> 01:18:44,760
Speaker 1: just like yesterday's song, smooth easy, great groove, awesome, nice

1407
01:18:44,800 --> 01:18:48,120
Speaker 1: SyncE um. But you know, just just relax, you know,

1408
01:18:48,520 --> 01:18:52,240
Speaker 1: there's there's there's so much going on with this the

1409
01:18:52,360 --> 01:18:54,799
Speaker 1: song that's been playing over and over in this hotel.

1410
01:18:54,840 --> 01:18:58,599
Speaker 1: So yeah. The Daily Zeitgeist to the production of iHeart Radio.

1411
01:18:58,680 --> 01:19:00,720
Speaker 1: For more podcasts from My Heart Radio is the I

1412
01:19:00,880 --> 01:19:04,280
Speaker 1: R Radio app, Apple Podcast or wherever you listen to

1413
01:19:04,320 --> 01:19:07,080
Speaker 1: your favorite shows. That's going to do it for today.

1414
01:19:07,320 --> 01:19:09,919
Speaker 1: We will be back tomorrow because it is a daily podcast,

1415
01:19:10,000 --> 01:19:12,120
Speaker 1: and we'll talk to you then. Bye.