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Speaker 1: Hello the Internet, and welcome to Season one on one,

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Speaker 1: Episode two of Dirtday Lys Night Guys production of by

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Speaker 1: Heart Radio. This is the podcast when we take a

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Speaker 1: deep dive into American's share consciousness and say, officially, off

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Speaker 1: the top, fuck Coke Industries and fuck Fox News. It's Tuesday,

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Speaker 1: September two nine. Team. My name is Jack O'Brien. Akay.

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Speaker 1: Everybody works for Jack o'bricka in Wello. Everybody is making

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Speaker 1: great podcast. Everybody loves the cold gass sady. At least

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Speaker 1: that's what everyone tells Jack. Courtesy Christie. I'm Fucci Man

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Speaker 1: and I'm thrilled to be joined as always by my

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Speaker 1: coast Mr mild Please, I've given all LA can. It's

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Speaker 1: not I've given all I can, and but we still

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Speaker 1: sick in rid. I just want this is what you get.

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Speaker 1: Just let that cook. This is what you get. Do do.

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Speaker 1: This is what you get when you smoke with me.

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Speaker 1: Get e d. Maybe it's what my doctor's suspend that work.

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Speaker 1: I'm from Well, I don't know, but Ben Krueger this

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Speaker 1: seems to think so at Ben k six to five,

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Speaker 1: thanks for that one. Tell you live hell yeah, hell yeah.

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Speaker 1: I love that you included even Tomm Jorkins ad libs

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Speaker 1: when he says just let that one cook and then

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Speaker 1: singing the piano part as the piano part as he

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Speaker 1: flip as someone who was always a frustrated piano player,

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Speaker 1: I would always I have to sing that anyway. That

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Speaker 1: should just be the rest of you. That should be.

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Speaker 1: And thank you so much for having us, TOLIVI, where

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Speaker 1: can we find you? Thank you so much? Goodbye. Joined

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Speaker 1: in our third seat by the hilarious comedian PLIVI. Hi,

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Speaker 1: it's me, it's you. Have you been since last we spoke? Good? Yeah,

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Speaker 1: pretty good, pretty wild? Trying to figure out what I

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Speaker 1: want to do with my life? Oh yeah, yeah, comedy

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Speaker 1: is still up there though. On that list, comedy is

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Speaker 1: number one. I think you'd come here back. Yeah. I

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Speaker 1: don't know, man, I don't know what you guys are

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Speaker 1: into this comedy stuff so much. Yeah yeah, I just

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Speaker 1: come here and I'm like, yeah, completely switched careers entirely

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Speaker 1: from the two that I had. I now build trains,

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Speaker 1: build trains, torself, what kind of what kind of just

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Speaker 1: in my base Baseman? Very cool. Well, we're gonna get

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Speaker 1: to know you a little bit better and probably find

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Speaker 1: out more about that. We're gonna tell our listeners a

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Speaker 1: couple of things we're talking about. We're talking about Greta

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Speaker 1: Thenberg holding it down for everyone in the world, everyone,

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Speaker 1: literally everyone, a little bit more on the whistleblower story. Uh,

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Speaker 1: We're gonna talk about the Emmys. We're gonna talk about

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Speaker 1: the showdown between the Bagel Boss guy and Lenny Dikstra.

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Speaker 1: We're gonna talk about another Lenny It's a Lenny full

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Speaker 1: episode because Lenny Kravitz has a problem and he needs

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Speaker 1: our help to solve it. We're gonna talk about Tinders

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Speaker 1: new streaming show, all of that and plenty more. But

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Speaker 1: first we like to ask our guests, plav what is

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Speaker 1: something from your search history that's revealing about who you are? Okay,

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Speaker 1: I was on bumble and I saw this guy that

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Speaker 1: looked a lot like JABOOKI young white. So then I

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Speaker 1: had to look up who his brother's were to make

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Speaker 1: sure it wasn't it wasn't because it also wasn't it

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Speaker 1: was somebody whose names it was like Jarvis, and so

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Speaker 1: I was like, that's pretty close to Jabooky Jave. All

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Speaker 1: of his brothers are name j And I was like,

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Speaker 1: this guy looks a lot. What if it's the lost brother?

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Speaker 1: He recently found that person on Twitter. I think like

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Speaker 1: three weeks ago there was some dude who looked exactly like,

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Speaker 1: who oh shit. I wonder if it's the same guy.

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Speaker 1: I don't know if he lived were you. Was this

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Speaker 1: in l A Yeah, I think this was a person

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Speaker 1: who lived somewhere else. But I forward you guys that

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Speaker 1: picture of the lion costume. Oh, yes, that someone spotted

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Speaker 1: you on a bad costume. Yeah, it's like my picture,

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Speaker 1: but they're wearing a lion costume. It's like the model

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Speaker 1: on the side of a cheap Halloween costume costume. He's just,

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Speaker 1: my god, Yes, it looks are you and you're not

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Speaker 1: getting a check now? I can't see you without Yeah,

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Speaker 1: this guy doesn't have a bit more of a square

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Speaker 1: face than you. Right, that's how I know it's not

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Speaker 1: more manly jawline. But their hands are very sure. Yeah,

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Speaker 1: the hand placed very looks like he knows what he's saying.

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Speaker 1: He's like, Hey, this is where hands go. This is

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Speaker 1: where I'm lying. I've never I know what to do

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Speaker 1: with my hands. Don't tell me he's modeling. He's like,

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Speaker 1: that's the only thing I know. Yeah, He's like, I

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Speaker 1: don't know what I'm doing in this costume. I don't

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Speaker 1: know how much I'm getting paid, but I damn sure

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Speaker 1: we'll know what these hands do. These hands do, what

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Speaker 1: those hands do? Those hands? What is something you think

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Speaker 1: is overrated? Okay, hold on overrated? Private transit? Yeah, I

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Speaker 1: think it's overrated. I take public trands a lot because

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Speaker 1: I'm broke, but also I like continue to do so

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Speaker 1: because I think it's better for like the environment and stuff,

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Speaker 1: and also if more people use it than all invest

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Speaker 1: more stuff. Yeah, exactly, And l A is literally it's this.

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Speaker 1: There couldn't be a city that needs it more, but

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Speaker 1: the people cannot. We don't have the infrastructure to move

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Speaker 1: in certain directions that we need to to make it

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Speaker 1: convenient if you have a very specific commute, I feel

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Speaker 1: like like it's easy for a very specific routes. I

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Speaker 1: feel like, but sort of going from east to west,

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Speaker 1: north to south and like huge sweeping ways isn't as

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Speaker 1: easy as it could and it's sometimes like it takes

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Speaker 1: less time and it goes underground. Did we talk about

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Speaker 1: this last time, about how like a lot of the

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Speaker 1: private car companies had influence on where the highways would

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Speaker 1: be so that it would funk up the public transit

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Speaker 1: in l A. And that's why it's so weird. Uh

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Speaker 1: well no, but I mean I do know that like

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Speaker 1: coke industries, arm of political action groups have kind of

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Speaker 1: been interesting bedfellows like places like Uber because their dream

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Speaker 1: is to just kneecap public transit. Are you talking about

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Speaker 1: like back in the fifties. Yeah, this is like back

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Speaker 1: in the highways were being built. I mean, yes, we've

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Speaker 1: we talked about that, I think in past episodes, maybe

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Speaker 1: not specifically when you're on but yeah, yeah, yeah, I

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Speaker 1: had a pretty extensive like electric cable car system. Uh,

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Speaker 1: and then that got torn up. I've been I've read

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Speaker 1: people have kind of debunked that theory that it was

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Speaker 1: the private car companies that came in. But I don't know,

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Speaker 1: I haven't read up. I've read up a lot on

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Speaker 1: the theory and details that make it seem like it's true. Well,

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Speaker 1: I'm sure they lobbied hard to get those infrastructured improvements

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Speaker 1: built so incentivizes automobile US. I mean it's almost like

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Speaker 1: not a conspiracy, it's like how America works. So I

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Speaker 1: don't know, but yeah, now that we've made a few

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Speaker 1: adjustments to like air air quality regulations, you can see

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Speaker 1: stuff in it now. Well it's not perfect. I have

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Speaker 1: bad Angelino habits because I grew up here and there

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Speaker 1: was no public transit really as a kid. I mean

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Speaker 1: I would take the bus from school sometime times. But

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Speaker 1: I drive fucking so much. Obviously. Do you ever get

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Speaker 1: frustrated with like parking and like tickets and what is that?

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Speaker 1: Don't know? Because I stays in the valley, We're parking

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Speaker 1: is abundance, and the weed flows like porn. That's the valley, baby.

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Speaker 1: But I get stressed out. No, I do get stressed

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Speaker 1: out in certain parts of town because you're like, in

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Speaker 1: my mind, I'm like nowhere to park there, or like

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Speaker 1: if you do, it's going to take up a lot

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Speaker 1: of your time. But that's like a habit. I'm trying

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Speaker 1: to break a little bit more because coming to Hollywood

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Speaker 1: is easy from the valley because like, luckily the Red

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Speaker 1: Line is meant to sort of bring people from certain

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Speaker 1: parts of the valley to this side. But it's you

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Speaker 1: gotta embrace it because our metro was pretty pretty good now,

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Speaker 1: palab I can't help but notice that you are talking

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Speaker 1: up a form of transit that you also building your basement. Yes,

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Speaker 1: very interesting. What is something you think tell us about

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Speaker 1: that investment? Opportunity said, it's a rail that last time

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Speaker 1: is something you think is underrage. This sounds so that

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Speaker 1: arranged marriage, but in like a modern sense, because like

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Speaker 1: in my extended family there's like like arranged marriage, but

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Speaker 1: it's like quotes because it's not really like what people

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Speaker 1: think of it as because now in like the cities

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Speaker 1: and in like you know, more like liberal progressive families

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Speaker 1: and India and stuff, they like it's just like another

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Speaker 1: dating app, but like through your parents, it's like they

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Speaker 1: send each other like essentially like resumes, the bio data

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Speaker 1: pictures and they're like, would your kid be interested in

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Speaker 1: this girl or boy or you know whatever, and then

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Speaker 1: they like they decide to like me, and then like

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Speaker 1: the kids are like, yeah, I'm not feeling it or

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Speaker 1: like I am, but it's like with the intent for marriage.

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Speaker 1: So it's like accelerated dating app that your family would

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Speaker 1: approve of. So for some people that works for me

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Speaker 1: like not at all. My parents have no idea what

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Speaker 1: I would want, but like for some people, and how

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Speaker 1: much ac do the bride and groom have in deciding

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Speaker 1: whether or not, so they can be like I'm not

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Speaker 1: feeling it's done, and it's a wrap swipe left right, yes,

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Speaker 1: So it's almost just like I don't have thumps right.

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Speaker 1: It's almost like switching up the order of like how

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Speaker 1: dating goes in a lot of like modern circumstances, which

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Speaker 1: is just that like you bring them home to the

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Speaker 1: parents and the parents are like nahe or it's like

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Speaker 1: that MTV show where the parents approved, but way less

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Speaker 1: white trash. Dude, I love this because like the boyfriend

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Speaker 1: would always be like hate the parents because they're obviously

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Speaker 1: a terrible partner to their child or whatever. Dude, I

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Speaker 1: can't wait till the fucking dad sees me. I'm not

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Speaker 1: going nowhere, bro, Yeah, so what I fucking crashed my

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Speaker 1: motor my dirt bike with their daughter on the back,

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Speaker 1: and we broke our bones. But it's all good, right.

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Speaker 1: And then at the end, like he gets dumped and

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Speaker 1: he's like whoa, he's always shocks and the dad is

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Speaker 1: always fuck you, and you're like, what is is this

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Speaker 1: really about the dad just hating the guy? Whatever? You know,

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Speaker 1: once you see the dad, you're like that's why she's

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Speaker 1: dating the guy. So what kind of arrangement would be

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Speaker 1: your ideal arranged marriage? A quote arranged marriage? For me,

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Speaker 1: I don't believe in marriage, but for other people it

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Speaker 1: would be good. Yeah, yeah, I mean the parental barrier.

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Speaker 1: But then it's like then I would be suspicious of

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Speaker 1: my parents. I'm like, where are the freaks at? Though? Mom?

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Speaker 1: Would you mean more suspicious if they were? No, if

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Speaker 1: they kept tugging you up with freaks? Like what are

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Speaker 1: you grandkids? Kids? Yeah? Yeah, because there are like certain

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Speaker 1: people who it's very important to them that their parents

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Speaker 1: like approved, or they either that or they've like internalized

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Speaker 1: like what the parents would think of somebody. But I

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Speaker 1: also think some people are just close to their families

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Speaker 1: and they like share the same value you know, other

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Speaker 1: other people I don't. I don't know, but I feel

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Speaker 1: like I'm too like too much of a wild card.

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Speaker 1: My aunt uh will always like call me and be

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Speaker 1: like I know a good Cindy boy, And I'm like,

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Speaker 1: Auntie based on my Facebook status, is can you really

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Speaker 1: predict like who you could find for my personality? And

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Speaker 1: it's just silence and it's like when are you coming

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Speaker 1: to visit have you seen my Twitter feed? Yeah, they

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Speaker 1: say something like I need to put my pussy on

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Speaker 1: do not disturb something? I put my pussy on night mode. Yeah.

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Speaker 1: I think she's like, I don't know, can you are

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Speaker 1: you able to put it on night mode? For sometimes

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Speaker 1: just tweet like phrases, Yeah, I remember them to your

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Speaker 1: aunt too. Great. Finally, what is a myth? But something

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Speaker 1: people think it's true you know to be false. So

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Speaker 1: I feel like people already know this. But um, the

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Speaker 1: first computer programmer was a woman at a loveless and

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Speaker 1: she like I think when she was a teen, she

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Speaker 1: like met up with this guy who was like building

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Speaker 1: like one of the first like computer type machines, um,

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Speaker 1: and she like wrote the first program to generate Bernoulli numbers,

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Speaker 1: which is like a series of numbers. Um. But she

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Speaker 1: was like a fucking genius and she was a baller

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Speaker 1: because she knew she was a genius. And she was like,

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Speaker 1: people will figure it out later. And she died of

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Speaker 1: like thirty six of cancer, but she had already like

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Speaker 1: done it. She was like a brilliant mathematician and programmer

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Speaker 1: in the eight hundreds. Oh sh yeah, I thought it

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Speaker 1: was going to be like the and that guy that

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Speaker 1: she met, Bill Gates, she died. She died in eighteen

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Speaker 1: fifty two. Um, and then yeah, I think, like I

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Speaker 1: was looking up the numbers. Um, the New York Times

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Speaker 1: has like an article about the secret history of female

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Speaker 1: programmers or something, and there was like five percent was

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Speaker 1: like where it started because dudes were like, we want

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Speaker 1: to build the hardware, that's where all the strength is,

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Speaker 1: and so they just like had women program um, like

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Speaker 1: in the fifties and and then um, I think around

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Speaker 1: like after the nineties, like so it went up to

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Speaker 1: like thirty six or seven percent of women were programmers,

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Speaker 1: and then it dropped back down to like and the

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Speaker 1: like the nineties. And I think it has to do

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Speaker 1: with like marketing and how they marketed computers and stuff

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Speaker 1: right right right For boys, it's blue, so like dudes

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Speaker 1: use it depends what flavor you get. Yeah, that's why

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Speaker 1: I only have Cherry Gatorade for girls gatorade, and I

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Speaker 1: drink Riptide Rush. Yeah. I mean the entire history of

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Speaker 1: the sciences like seems like it's just overtly like consciously

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Speaker 1: writing women out of the history. Yeah, were those first

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Speaker 1: computers like steam powered things that are using like punch

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Speaker 1: cards or some ship like how it was before they

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Speaker 1: had the technology actually build computers. It was like what

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Speaker 1: code look like that. I don't know it's called. It

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Speaker 1: was called a So the guy was Charles Babbage and

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Speaker 1: it was analytical engine And I think she was the

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Speaker 1: first one, like I just saw like this technology and

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Speaker 1: was like, this is gonna make like graphics and every like.

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Speaker 1: She predicted everything we're doing now. Um. But it was yeah,

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Speaker 1: it looked like this. Actually it was a trial model

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Speaker 1: of part of it. Whoa like like that and the

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Speaker 1: Illuminati gave her cancer? Thank you. Yeah, it looks like

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Speaker 1: a like an electronic advocate. Yeah, it's like a big

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Speaker 1: there's a lot of spokes and ship wheels, a bit

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Speaker 1: of a loom wheels. Oh, there's a little bit kind

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Speaker 1: of gears, gears, I don't know names some other parts

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Speaker 1: names for things. There's a Craig Chef forward. You got

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Speaker 1: the bars, there's some bars in there. All right, let's

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Speaker 1: talk about Greta Thunberg. She spoke at the u n's

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Speaker 1: Climate Summit. Yeah, don't know. It felt very moving, I'll

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Speaker 1: say that, well, very like Earnest. Yeah. Well, the summit

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Speaker 1: itself was like a mixture of you know, other countries

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Speaker 1: being like, this is what we're doing to fight climate change,

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Speaker 1: and like then being businesses being like, let's pat ourselves

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Speaker 1: on the back for doing less than the bare minimum.

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Speaker 1: But it's something, so we'll pretend it's revolutionary, and you know, again,

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Speaker 1: we are this. The situation that the planet is in

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Speaker 1: is serious. It's dire um. And meanwhile, the like the

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Speaker 1: world leaders are getting together to kind of be like, yeah, man,

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Speaker 1: like what we're doing is pretty chill. Let's look in,

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Speaker 1: let's keep going and we'll do the right thing. So

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Speaker 1: when Greta Thunberg got up to speak, she gave a

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Speaker 1: very sober assessment of everything. And we'll just let her

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Speaker 1: words speak for themselves, because it's very moving to hear.

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Speaker 1: That's probably like the first, you know, thirties or so

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Speaker 1: seconds of what she said. This is all wrong. I

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Speaker 1: shouldn't be up here. I should be back in school

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Speaker 1: on the other side of the ocean. Yet you'll come

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Speaker 1: to us, young people, for hope. How dare you? You

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Speaker 1: have stolen my dreams and my childhood with your empty words,

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Speaker 1: And yet I'm one of the lucky ones. People are suffering,

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Speaker 1: people are dying, entire ecosystems are collapsing. We are in

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Speaker 1: the beginning of a mass extinction, and all you can

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Speaker 1: talk about is the money and fairy tales of eaton

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Speaker 1: of economic growth. How dare you? Bom? Um? Yeah, and

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Speaker 1: she went on just to continue to call out, you know,

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Speaker 1: the world leaders for their inaction. How you know if

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Speaker 1: they if they fail to act. The only logical conclusion

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Speaker 1: for people of her generation and younger is to be like,

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Speaker 1: you are the people who, like we are answering for

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Speaker 1: your inaction. The theme was basically how dare you? And

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Speaker 1: it's very it was very moving. I wonder if, like

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Speaker 1: in when her generation gets to leader like leadership positions,

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Speaker 1: if in the same way that people are punished for

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Speaker 1: like war crimes, if people are going to be punished

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Speaker 1: for like crimes against the earth right right where they're

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Speaker 1: retroactively that or retrospectively like um, what just so you know,

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Speaker 1: I think we already know y'all are the destroyers, right um?

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Speaker 1: And here we go. It's it uh at or I

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Speaker 1: thought your question was going to be like when they

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Speaker 1: get older, we're gonna have when they sell out and

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Speaker 1: they start getting those checks. Because I'm also curious what

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Speaker 1: would happen. I mean that I think that happens a

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Speaker 1: lot to every generation to not just I don't even

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Speaker 1: want to introduce that possible narrative, not especially. I guess

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Speaker 1: I'm just more optimistic. I don't know, nothing negative. I

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Speaker 1: feel like this times in with the younger generation being

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Speaker 1: more about like socialism than capitalism, is like, yeah, you know,

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Speaker 1: the idea of just constant, consistent, long term capitalistic growth

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Speaker 1: like market growth just doesn't doesn't work for the long term,

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Speaker 1: you know, sustenance of our species and yeah, it doesn't

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Speaker 1: matter if we're all freaking dead. Yeah, And that's the

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Speaker 1: thing is like I I feel like a lot of

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Speaker 1: times people like frame it as like, oh, you know,

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Speaker 1: they're tree huggers, but like the it is a it

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Speaker 1: is a war crime essentially. I mean, you're killing people

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Speaker 1: by ignoring these problems people happening right now. People who

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Speaker 1: are deeply concerned about the climate are not tree huggers. There.

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Speaker 1: We don't want to die yours. That's what it is.

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Speaker 1: And I think to to frame it like that is

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Speaker 1: so disingenuous and to think even now right, She goes

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Speaker 1: on in her speech to say, you know, you've been

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Speaker 1: looking at research for thirty years and have done fuck

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Speaker 1: all and like everything you've done has been minimal or

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Speaker 1: like what's the cost not realizing this is not a

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Speaker 1: this is not the game we're in. It's fucking do

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Speaker 1: or die right now. And the disingenuous attacks sort of

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Speaker 1: continue too, especially from the right, because on Fox and

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Speaker 1: Friends they had this fucking moron on his name is

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Speaker 1: Mark Moreno or Moronal or whatever then's name is, to

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Speaker 1: basically talk about you know, they were very flippant about

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Speaker 1: the climate strikes on Friday, and then in response to this,

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Speaker 1: they were basically trying to paint Gretteth Thunberg as like

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Speaker 1: this fear mont. I don't know. Listen to this really

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Speaker 1: interesting assessment from the right of what Greteth Thumberg is

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Speaker 1: standing for. What is it about her that has uh

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Speaker 1: interested in so many young people? Well, she sells fear.

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Speaker 1: Gretteth Thunberg started in Sweden every Friday outside the Swedish Parliament,

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Speaker 1: and it's spread to skip school in order to have

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Speaker 1: a future. In other words, she's actually said and she's

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Speaker 1: addressed the EU. The United States Congress testified that why

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Speaker 1: should kids go to school if they have a future

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Speaker 1: that will be no more unless government passes laws like

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Speaker 1: the Green New Deal, more U N treaties, et cetera.

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Speaker 1: So this message in Sweden, it worked in Sweden, it's

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Speaker 1: working in Europe, and now it's come to the US.

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Speaker 1: The message of fear sales. There's reports now in Europe

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Speaker 1: where kids are getting anti anxiety medication. They believe they're

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Speaker 1: going to die. She is the gretive effects. She's causing

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Speaker 1: and instilling fear and millions of kids around the world

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Speaker 1: and actually has them believing that government can legislate our climate.

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Speaker 1: In other ways, if we passed the Green New Deal

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00:21:15,480 --> 00:21:19,800
Speaker 1: in America, these kids can all go back to school. Yeah,

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Speaker 1: I mean for these kids, what are you talking about?

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Speaker 1: For these kids? Lollipops and you know, tell them there's

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Speaker 1: a monster in their closets. They're going to be you know,

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Speaker 1: they're gonna be freaking out. Tegotchis with their pokemon. You know,

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Speaker 1: he made all of our points for the government can't

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Speaker 1: legislate literally, you can well that guy. First of all,

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Speaker 1: he could not embody the position of the fossil fuel industry.

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Speaker 1: Even more, he's like the manifestation of everything that is

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Speaker 1: wrong with climate change denial. I mean, not that everything

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Speaker 1: is wrong about climate change now, but he is, like

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Speaker 1: he's the human version of it. He always talks about

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Speaker 1: climate change. He has a you know, quick search on

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Speaker 1: Amazon for his work. He has one but called the

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Speaker 1: Politically Incorrect Guide to Climate Change Boom Boom owned and

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Speaker 1: on the back cover people are two pc about climate

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Speaker 1: The whole thing is like, you think you know all

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Speaker 1: about climate change, but did you know the world is

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Speaker 1: spending nearly one billion dollars a day to prevent global warming?

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00:22:20,080 --> 00:22:23,959
Speaker 1: Is that a bad thing? Okay? Scientific un scientist has

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Speaker 1: said the consensus quote on Global Warning Warning was quote

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Speaker 1: pulled from thin air scientist. Yeah, climate policies are crushing

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Speaker 1: the world's poor. Oh so I'm guessing that a person

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Speaker 1: reading this is so concerned about the world's poor. But

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00:22:39,720 --> 00:22:43,400
Speaker 1: they're like, well, actually again, and then they say and meanwhile,

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Speaker 1: major hurricane landfalls in the United States have declined over

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Speaker 1: the past hundred forty years after three or larger tornadoes

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00:22:49,920 --> 00:22:52,560
Speaker 1: have been in declines since the nineteen seventies. And article

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00:22:52,720 --> 00:22:56,360
Speaker 1: is actually gaming ice Like Jesus Christ, Okay, you know what,

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Speaker 1: there should be a requirement that everybody has to have

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Speaker 1: a peach, do you in order to run for a

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00:23:00,920 --> 00:23:04,200
Speaker 1: public office? Seriously? At some point at this point, who

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00:23:04,200 --> 00:23:07,840
Speaker 1: published that book? Like it's self published? It's self published.

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Speaker 1: I'm pretty sure it was. It was for free at

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Speaker 1: a certain point, but he managed to get a blurb

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00:23:12,600 --> 00:23:15,760
Speaker 1: from Sean Hannity on it that says, the climate scare

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Speaker 1: stops here. Did you guys see the two things with

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Speaker 1: Greta that happened like this morning and yesterday? Did you

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00:23:23,240 --> 00:23:27,080
Speaker 1: see the Denis to Susan tweet? Yeah? Yeah, yeah, So

398
00:23:27,200 --> 00:23:29,960
Speaker 1: let's talk about that. Children, notably Nordic white girls with

399
00:23:29,960 --> 00:23:32,480
Speaker 1: braids and red cheeks, were often used in Nazi propaganda

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00:23:32,520 --> 00:23:35,840
Speaker 1: and old gubb grobles I can't pronounce that technique. Looks

401
00:23:35,840 --> 00:23:38,119
Speaker 1: like today's progressive left is learning its game from an

402
00:23:38,119 --> 00:23:40,040
Speaker 1: earlier left in the nineteen thirties. And he had like

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00:23:40,119 --> 00:23:44,280
Speaker 1: Nazi propaganda right next to her. So I mean, yeah,

404
00:23:44,359 --> 00:23:50,360
Speaker 1: you know, killing Jews and and saving the environment, same thing. Yeah. Nice, try, guys, nice,

405
00:23:50,440 --> 00:23:55,560
Speaker 1: try with your braids, Hitler that was uploaded to the cloud.

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00:23:56,280 --> 00:23:58,520
Speaker 1: Trying to do your work now in the future. Braids

407
00:23:58,560 --> 00:24:05,359
Speaker 1: and braids enough set also, So Nazis are bad because

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00:24:05,520 --> 00:24:07,240
Speaker 1: half the time you're trying to obscure like what the

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00:24:07,320 --> 00:24:10,439
Speaker 1: Nazis actually were, and you know what I mean, the

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00:24:10,520 --> 00:24:12,840
Speaker 1: thing that was bad about the Nazis was that they

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Speaker 1: were two leftists, right right, so they are socialists because

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Speaker 1: I'm gonna use that. I'm gonna focus on, you know,

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00:24:19,000 --> 00:24:21,399
Speaker 1: very one dimensional understanding of certain things and be like

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00:24:21,440 --> 00:24:24,160
Speaker 1: that's what that is. So yeah, that's why they're bad,

415
00:24:24,200 --> 00:24:27,639
Speaker 1: not because of the genocide. And you can't get over

416
00:24:27,680 --> 00:24:29,560
Speaker 1: how dumb people are, Well, it just shows you too,

417
00:24:29,680 --> 00:24:32,600
Speaker 1: like I don't understand. You know again, if if people

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Speaker 1: on the right are so concerned about denying that this

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Speaker 1: is happening, can we jet like I keep saying, let's

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00:24:38,520 --> 00:24:41,080
Speaker 1: get a sign up sheet, people who don't believe in

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Speaker 1: climate change, sign your name to the cursed Earth where

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00:24:44,840 --> 00:24:46,560
Speaker 1: you will have to live. Because if you want to

423
00:24:46,560 --> 00:24:48,680
Speaker 1: act like it's not real, then when the ship hits

424
00:24:48,720 --> 00:24:51,119
Speaker 1: the fan, you're the first volunteers to just stay behind

425
00:24:51,280 --> 00:24:54,320
Speaker 1: because it's not real, Right, you'll survive. They're like, there's

426
00:24:54,359 --> 00:24:56,600
Speaker 1: I mean, the rich are so insulated. There's like like

427
00:24:56,640 --> 00:24:58,320
Speaker 1: they're not even gonna be the ones to die in

428
00:24:58,359 --> 00:25:00,359
Speaker 1: the next hundred years, right, Like it's going to be

429
00:25:00,600 --> 00:25:02,800
Speaker 1: everybody else and they're gonna be like up in their towel. Yeah,

430
00:25:05,760 --> 00:25:08,560
Speaker 1: it's the people. It tends to be people who are

431
00:25:08,560 --> 00:25:11,240
Speaker 1: going to be long dead by the time the ship

432
00:25:11,400 --> 00:25:14,520
Speaker 1: starts hitting the fans right, exactly easy for them. And

433
00:25:14,560 --> 00:25:17,320
Speaker 1: that was really the cutting thing about what Greta said.

434
00:25:17,359 --> 00:25:19,800
Speaker 1: It was like, how dare you come to the youth

435
00:25:20,080 --> 00:25:24,680
Speaker 1: for fucking hope over this? What the fuck? Like they

436
00:25:24,720 --> 00:25:26,560
Speaker 1: have none? I mean, not that they have none, but

437
00:25:26,640 --> 00:25:30,359
Speaker 1: it's such a different I mean, when I was a kid, Jack,

438
00:25:30,400 --> 00:25:34,880
Speaker 1: when you were contemporaries climate change, was it very well?

439
00:25:34,960 --> 00:25:37,359
Speaker 1: Come on, man, we would have been high schoo come on, man,

440
00:25:37,359 --> 00:25:39,960
Speaker 1: we would come on, come on. Really you don't think

441
00:25:40,000 --> 00:25:42,320
Speaker 1: so anyway, I'm saying when we were kids, been waiting

442
00:25:42,680 --> 00:25:44,399
Speaker 1: for the last five years, older than you, and you

443
00:25:44,440 --> 00:25:46,440
Speaker 1: would have been way too cool for me, Like he's

444
00:25:46,480 --> 00:25:53,040
Speaker 1: making me like, back then, climate change was a thing

445
00:25:53,080 --> 00:25:56,320
Speaker 1: that was acknowledged. I think in like in progressive cities.

446
00:25:56,359 --> 00:25:58,800
Speaker 1: Maybe I was like, yeah, man, that is something, but

447
00:25:58,880 --> 00:26:01,680
Speaker 1: it was not. There was no urgency, and now like

448
00:26:01,840 --> 00:26:04,320
Speaker 1: we do have like now these kids, it's much different.

449
00:26:04,359 --> 00:26:05,560
Speaker 1: It's like, no, this is the thing that's going to

450
00:26:05,600 --> 00:26:07,080
Speaker 1: suck everything up well. But I think because of the

451
00:26:07,119 --> 00:26:10,280
Speaker 1: acceleration of the understanding of the situation, right, like with

452
00:26:10,359 --> 00:26:14,239
Speaker 1: the Climate Change Report like last October or whatever, that

453
00:26:14,320 --> 00:26:17,320
Speaker 1: was like a huge, significant piece of information that had

454
00:26:17,359 --> 00:26:21,280
Speaker 1: like very specific numbers for like temperature increases in very

455
00:26:21,280 --> 00:26:24,679
Speaker 1: specific zones, and they had like multiple levels of it.

456
00:26:24,680 --> 00:26:26,480
Speaker 1: They had one for policemakers, which was like the dumb

457
00:26:26,560 --> 00:26:28,520
Speaker 1: down version, which is one that I read, and it

458
00:26:28,600 --> 00:26:31,000
Speaker 1: was all and it had like an accumulation of scientists

459
00:26:31,040 --> 00:26:33,840
Speaker 1: from all over the world and how sure they were

460
00:26:33,840 --> 00:26:37,359
Speaker 1: about each fact. So I think like as people became

461
00:26:37,600 --> 00:26:40,680
Speaker 1: more aware of how urgent this is and it's been accelerating,

462
00:26:40,680 --> 00:26:44,080
Speaker 1: they were able to like spread that information more. But yeah,

463
00:26:44,119 --> 00:26:46,280
Speaker 1: it's but that's like what do we do, you know,

464
00:26:46,320 --> 00:26:47,879
Speaker 1: because I mean, we know what we need to do,

465
00:26:48,000 --> 00:26:51,879
Speaker 1: but there's the odds are really bad. Yeah, but you

466
00:26:51,880 --> 00:26:54,600
Speaker 1: can't not do anything, of course, that's the problem. I

467
00:26:54,600 --> 00:26:56,800
Speaker 1: think that like most people are like, well, it's so

468
00:26:56,840 --> 00:26:59,359
Speaker 1: big and like it's already bad, like there's nothing we

469
00:26:59,400 --> 00:27:02,520
Speaker 1: can do, and it's no they're like ways to alleviate

470
00:27:02,560 --> 00:27:05,480
Speaker 1: the issue or like to make it not as horrible, right,

471
00:27:05,520 --> 00:27:07,600
Speaker 1: But I think that's the logic being applied to some

472
00:27:07,680 --> 00:27:09,960
Speaker 1: of these really just like, well, when we're supposed to

473
00:27:10,000 --> 00:27:12,960
Speaker 1: fundamentally change like everything about how we're doing stuff in

474
00:27:12,960 --> 00:27:16,439
Speaker 1: our country, I know, but that's literally not even like that.

475
00:27:16,520 --> 00:27:19,480
Speaker 1: It's obvious where other people like we need to fundamentally

476
00:27:19,560 --> 00:27:22,159
Speaker 1: change how we do everything to address this, and some

477
00:27:22,200 --> 00:27:24,800
Speaker 1: people like we need are we sure we need to

478
00:27:24,840 --> 00:27:28,320
Speaker 1: do that and not acknowledging where that's where we are? Right. Yeah,

479
00:27:28,359 --> 00:27:32,359
Speaker 1: I had never heard her speak before that clip, and

480
00:27:32,960 --> 00:27:36,479
Speaker 1: there's like something it just feels like, I don't know,

481
00:27:36,560 --> 00:27:38,760
Speaker 1: like it does give you a little bit of hope

482
00:27:38,760 --> 00:27:41,520
Speaker 1: because it seems like, Okay, she's on this like in

483
00:27:41,560 --> 00:27:46,960
Speaker 1: this completely different like headspace from where the conversation has

484
00:27:47,040 --> 00:27:51,640
Speaker 1: been before, where it's almost like a a like spiritual

485
00:27:52,119 --> 00:27:56,280
Speaker 1: like it's just like totally she's actually thought it through

486
00:27:56,480 --> 00:27:59,920
Speaker 1: and is like kind of moving things in a direction

487
00:28:00,000 --> 00:28:04,320
Speaker 1: they need to move visceral anger without compromise. Right. But

488
00:28:04,640 --> 00:28:06,800
Speaker 1: meanwhile on the right, another thing that's happened on the

489
00:28:06,920 --> 00:28:10,560
Speaker 1: right is there was an image that was circulating over

490
00:28:10,600 --> 00:28:14,560
Speaker 1: the weekend after people were saying like, yeah, they want

491
00:28:14,560 --> 00:28:17,159
Speaker 1: to clean up the earth, will maybe start by throwing

492
00:28:17,200 --> 00:28:21,200
Speaker 1: away your garbage, And they had a picture that was

493
00:28:21,240 --> 00:28:26,160
Speaker 1: supposedly after the climate strike with like garbage all over

494
00:28:26,200 --> 00:28:30,280
Speaker 1: a field, um, and that it was actually like a fake.

495
00:28:30,600 --> 00:28:35,359
Speaker 1: It was from a like four twenty h celebration, come

496
00:28:35,400 --> 00:28:39,840
Speaker 1: on four years ago. Um. But yeah, it's just you know,

497
00:28:40,000 --> 00:28:41,840
Speaker 1: did you see what happened? I don't know if you

498
00:28:41,840 --> 00:28:44,560
Speaker 1: guys are gonna talk about this tomorrow, but what happened

499
00:28:44,560 --> 00:28:47,840
Speaker 1: this morning was that she and fifteen other children filed

500
00:28:47,880 --> 00:28:50,920
Speaker 1: a complaint oh yeah, against with the u N right,

501
00:28:51,400 --> 00:28:54,440
Speaker 1: saying that five of the world's major economies have violated

502
00:28:54,480 --> 00:28:56,840
Speaker 1: their human rights by not taking adequate action to stop

503
00:28:56,920 --> 00:29:00,640
Speaker 1: the unfolding climate change crisis. Yeah. And she's right into

504
00:29:00,720 --> 00:29:05,960
Speaker 1: the world. Yeah, all right, we're gonna take a quick break.

505
00:29:05,960 --> 00:29:19,160
Speaker 1: We'll be right back. And we're back. And there was

506
00:29:19,200 --> 00:29:23,600
Speaker 1: also a great gift, great image of Greta at the

507
00:29:23,720 --> 00:29:26,600
Speaker 1: u N and then standing to the side as Trump

508
00:29:26,680 --> 00:29:29,720
Speaker 1: walked in, full of bluster and just being like, yeah,

509
00:29:29,840 --> 00:29:32,640
Speaker 1: now you're in my world. Everyone was sort of the

510
00:29:33,200 --> 00:29:37,240
Speaker 1: vibe of of watching that clip watching him just walk

511
00:29:37,280 --> 00:29:39,400
Speaker 1: through the u N building was just like he was

512
00:29:40,120 --> 00:29:47,280
Speaker 1: Bobby big Dick, so cool with um. But there's a

513
00:29:47,320 --> 00:29:51,280
Speaker 1: reason he thinks he's so cool, and uh, he's starting

514
00:29:51,320 --> 00:29:55,800
Speaker 1: to I mean the Washington Post. But the Washington Post

515
00:29:55,800 --> 00:29:59,080
Speaker 1: pointed out, I mean it is kind of rational the

516
00:29:59,120 --> 00:30:03,560
Speaker 1: way that he he is operating, because he is starting

517
00:30:03,560 --> 00:30:05,600
Speaker 1: to believe he can get away with anything because US

518
00:30:06,200 --> 00:30:09,240
Speaker 1: report because he is getting away with anything. And they

519
00:30:09,280 --> 00:30:14,120
Speaker 1: pointed out that, uh, this whistleblower story, the call in

520
00:30:14,280 --> 00:30:19,800
Speaker 1: question with the Ukrainian president, happened the day after muellersh testimony,

521
00:30:19,960 --> 00:30:22,479
Speaker 1: and people being like, well, that was a total loss,

522
00:30:22,600 --> 00:30:26,680
Speaker 1: like and you know, totally diflated the the Democrats like

523
00:30:26,760 --> 00:30:31,320
Speaker 1: passion to impeach him, uh the next day, so after

524
00:30:31,520 --> 00:30:35,560
Speaker 1: like a the uh, the idea of him being held

525
00:30:35,600 --> 00:30:42,280
Speaker 1: accountable for his working with foreign countries to uh influence

526
00:30:42,320 --> 00:30:46,480
Speaker 1: the two thousand and sixteen election, uh is like sort

527
00:30:46,520 --> 00:30:49,720
Speaker 1: of taking down a notch he vote starts working on

528
00:30:50,240 --> 00:30:54,120
Speaker 1: working with a foreign power to affect the election's like,

529
00:30:55,760 --> 00:30:59,480
Speaker 1: so that's it was a bit of a bit of

530
00:30:59,520 --> 00:31:02,720
Speaker 1: a ship's storm for the news, but functionally nothing happened, right,

531
00:31:02,760 --> 00:31:05,000
Speaker 1: So I guess and a ship storm from the news

532
00:31:05,080 --> 00:31:10,240
Speaker 1: where functionally nothing happens, that gives his whole thing energy, right,

533
00:31:10,240 --> 00:31:14,520
Speaker 1: Because it's like watch me fucking transgress and now I progress.

534
00:31:14,800 --> 00:31:16,640
Speaker 1: But then he like did he have a list where

535
00:31:16,680 --> 00:31:18,520
Speaker 1: he was like all the ship with the Mala report,

536
00:31:18,560 --> 00:31:21,080
Speaker 1: and then he was like next up with Biden? Like

537
00:31:21,880 --> 00:31:25,000
Speaker 1: does he is there like logic to the next step.

538
00:31:25,360 --> 00:31:27,640
Speaker 1: It's like, I think it's like a like a rat

539
00:31:27,720 --> 00:31:30,120
Speaker 1: with a pellet. It's like, oh, that one wasn't electrified.

540
00:31:30,560 --> 00:31:32,360
Speaker 1: I'll keep eating it. Who else am I mad? At?

541
00:31:32,480 --> 00:31:36,320
Speaker 1: Bid something about Biden? Right? And I mean again, so

542
00:31:36,560 --> 00:31:39,600
Speaker 1: would that whistleblower thing. There wasn't a lot of talk

543
00:31:39,720 --> 00:31:43,160
Speaker 1: or whatever. Then Sunday he finally admitted, he fucking admitted

544
00:31:43,200 --> 00:31:46,800
Speaker 1: that the call happened. Okay, interesting because he's probably got

545
00:31:46,800 --> 00:31:48,880
Speaker 1: a lot more confidence about this. And he says that

546
00:31:48,920 --> 00:31:52,840
Speaker 1: the conversation I had was largely congratulatory, was largely corruption.

547
00:31:53,240 --> 00:31:55,920
Speaker 1: All of the corruption taking place, was largely the fact

548
00:31:55,920 --> 00:31:58,200
Speaker 1: that we don't want our people like Vice President Biden

549
00:31:58,240 --> 00:32:01,120
Speaker 1: and his son contributing to the corrupt. She's already in Ukraine,

550
00:32:01,520 --> 00:32:04,960
Speaker 1: and then described the call as perfect with absolutely nothing wrong.

551
00:32:05,000 --> 00:32:08,400
Speaker 1: It was perfect, the best call people are gonna hear,

552
00:32:08,440 --> 00:32:10,800
Speaker 1: and that's one of the best calls ever that they've

553
00:32:10,840 --> 00:32:12,600
Speaker 1: ever heard. You should have seen it flowser ready to

554
00:32:12,640 --> 00:32:15,520
Speaker 1: baby A lot of calls. Uh, this is a good one.

555
00:32:15,680 --> 00:32:18,680
Speaker 1: This is one of the good calls. The call is great,

556
00:32:18,840 --> 00:32:24,160
Speaker 1: perfect a call? Um? What the fun is that it was? Again?

557
00:32:24,240 --> 00:32:26,880
Speaker 1: I said, I said hello, I said goodbye, and then

558
00:32:26,880 --> 00:32:28,560
Speaker 1: we talked about it and then I said, okay, well,

559
00:32:28,640 --> 00:32:32,400
Speaker 1: best wishes to you and yours didn't even say that. No,

560
00:32:32,560 --> 00:32:36,280
Speaker 1: not at all, perfect meaning nothing untoward happened. So I

561
00:32:36,280 --> 00:32:40,120
Speaker 1: mean the overall dynamic of the conversation and why this

562
00:32:40,160 --> 00:32:44,000
Speaker 1: could be problematic is that the Ukraine has been trying

563
00:32:44,040 --> 00:32:49,440
Speaker 1: to fight off Russia. Yeah, who has interesting relationship too,

564
00:32:49,920 --> 00:32:54,680
Speaker 1: And the US has been withholding aid military aid to

565
00:32:54,720 --> 00:33:00,160
Speaker 1: the Ukraine, which ties with his overall vibe towards Russia. Uh.

566
00:33:00,240 --> 00:33:02,760
Speaker 1: And apparently we're not supposed to call it the Ukraine.

567
00:33:02,760 --> 00:33:05,400
Speaker 1: Were just supposed to refer to it as Ukraine. And

568
00:33:05,440 --> 00:33:08,080
Speaker 1: I'll try and do that going forward. But I have

569
00:33:08,160 --> 00:33:11,160
Speaker 1: it in my head from the episode of Seinfeld where

570
00:33:11,160 --> 00:33:14,640
Speaker 1: they're playing risk and he says the Ukraine is weak. Yeah,

571
00:33:14,680 --> 00:33:19,080
Speaker 1: so Ukraine is trying to fight off Russia, and you

572
00:33:19,120 --> 00:33:24,320
Speaker 1: know Trump's like withholding military aid and it seems like,

573
00:33:24,840 --> 00:33:27,800
Speaker 1: you know, this could be a carrot in a stick situation. Well,

574
00:33:27,800 --> 00:33:30,400
Speaker 1: it's just, of course, I mean, you know, the timing

575
00:33:30,880 --> 00:33:34,440
Speaker 1: stunk like shit basically. And here's the other thing on

576
00:33:34,520 --> 00:33:37,680
Speaker 1: that call. It wasn't just like a light suggestion. He

577
00:33:37,880 --> 00:33:41,080
Speaker 1: brought it up eight fucking times. Yeah, so there was

578
00:33:41,120 --> 00:33:43,719
Speaker 1: no it wasn't like anything to hide behind. And this

579
00:33:43,760 --> 00:33:47,200
Speaker 1: is where it gets like, you know, the Democrats have

580
00:33:47,240 --> 00:33:49,600
Speaker 1: failed to hold this president accountable in so many ways.

581
00:33:49,840 --> 00:33:51,760
Speaker 1: But a lot of the room or the feeling is

582
00:33:51,800 --> 00:33:54,400
Speaker 1: that if there's a transcript or recording of this call

583
00:33:54,480 --> 00:33:56,200
Speaker 1: that were to come out, it would help a lot

584
00:33:56,240 --> 00:33:59,800
Speaker 1: of undecided Democrats come out because I guess suddenly this

585
00:33:59,840 --> 00:34:01,400
Speaker 1: is the thing that they're going to decide to put

586
00:34:01,440 --> 00:34:03,520
Speaker 1: their foot down about because I guess it's so sort

587
00:34:03,560 --> 00:34:06,440
Speaker 1: of like objectively, sort of like he's leaning on another

588
00:34:06,520 --> 00:34:10,440
Speaker 1: government and withholding military aid to dig up dirt on

589
00:34:10,480 --> 00:34:15,360
Speaker 1: a political opponent for an election. For he's using yeah, exactly,

590
00:34:15,400 --> 00:34:18,839
Speaker 1: like the instability of a region to motivate um them

591
00:34:18,880 --> 00:34:21,560
Speaker 1: acting out in his interests. Yeah, it feels like more

592
00:34:21,640 --> 00:34:24,640
Speaker 1: urgent than the than what happened with Russia, because in

593
00:34:24,680 --> 00:34:28,600
Speaker 1: that case, like Russia was the like stronger. It's like

594
00:34:28,640 --> 00:34:31,680
Speaker 1: building somebody up versus like tearing them down. Right, so

595
00:34:31,800 --> 00:34:35,400
Speaker 1: with with Ukraine, like in these dire conditions, like to

596
00:34:35,520 --> 00:34:39,799
Speaker 1: threaten their demise even further. Um, I think that that's

597
00:34:39,880 --> 00:34:44,480
Speaker 1: like more of a violation of people's morals, right, and I,

598
00:34:44,719 --> 00:34:49,080
Speaker 1: you know, Nancy Pelosi said some stuff. It wasn't necessarily

599
00:34:49,120 --> 00:34:53,240
Speaker 1: convincing that we were like actually moving towards impeachment. But um,

600
00:34:53,239 --> 00:34:56,520
Speaker 1: there are many undecideds who, for whatever reason, this is

601
00:34:56,520 --> 00:34:58,880
Speaker 1: starting to move them a little bit closer. It feels

602
00:34:58,960 --> 00:35:02,400
Speaker 1: like less political. I think like people are more upset.

603
00:35:02,520 --> 00:35:05,080
Speaker 1: It seems like well, and then even Republicans are kind

604
00:35:05,120 --> 00:35:09,359
Speaker 1: of pretending to Republican is kind of pretended. Well when

605
00:35:09,640 --> 00:35:12,160
Speaker 1: when in one half, right, so Mitt Romney you know,

606
00:35:12,400 --> 00:35:16,440
Speaker 1: said out loud with his mouth or through a tweet

607
00:35:16,760 --> 00:35:19,120
Speaker 1: with his hands that if you know it's true or whatever,

608
00:35:19,120 --> 00:35:21,960
Speaker 1: it will be quote troubling to the extreme. And then

609
00:35:22,120 --> 00:35:25,160
Speaker 1: to the extreme he rocks Mike like a bandal exactly. Um.

610
00:35:25,200 --> 00:35:28,200
Speaker 1: And even Lindsey Graham, number one cheerleader, was saying the

611
00:35:28,239 --> 00:35:30,400
Speaker 1: White House, he was actually suggesting the White House should

612
00:35:30,400 --> 00:35:32,560
Speaker 1: release material to sort of clear the air because it's

613
00:35:32,600 --> 00:35:35,520
Speaker 1: just too much drama Um, because I think what is

614
00:35:35,600 --> 00:35:38,720
Speaker 1: happening is that even Republicans are like, this is fucking

615
00:35:38,719 --> 00:35:41,200
Speaker 1: not good. And again, you're gonna need to give us

616
00:35:41,200 --> 00:35:44,799
Speaker 1: some talking point to for cover, because they need cover

617
00:35:44,960 --> 00:35:48,200
Speaker 1: every fucking time something happens, and taking this into an

618
00:35:48,200 --> 00:35:51,880
Speaker 1: election among the myriad of things that are making being

619
00:35:52,160 --> 00:35:55,319
Speaker 1: a GOP member of Congress, I guess what's the word

620
00:35:55,320 --> 00:35:59,799
Speaker 1: I'm looking for? Untenable? Almost, but yeah, so like they

621
00:35:59,840 --> 00:36:02,520
Speaker 1: need another defense because there's another statistic that says only

622
00:36:03,480 --> 00:36:07,360
Speaker 1: of Republicans who are in office when Trump was inaugurated

623
00:36:07,560 --> 00:36:11,800
Speaker 1: are leaving or gone, are gone or leaving or retiring.

624
00:36:12,400 --> 00:36:14,799
Speaker 1: Number they like getting that elevator When everyone's asking them

625
00:36:14,800 --> 00:36:16,600
Speaker 1: a questions, they don't say anything, and then they just

626
00:36:16,680 --> 00:36:21,120
Speaker 1: disappear and vanished to the land of cowards. Yeah, like

627
00:36:21,160 --> 00:36:24,600
Speaker 1: the magic trick and the prestige. They just get in

628
00:36:24,640 --> 00:36:28,719
Speaker 1: there and they're replaced by another white man. Exactly. They're

629
00:36:28,719 --> 00:36:33,160
Speaker 1: all twins into Congress. You have to be an identical

630
00:36:33,200 --> 00:36:37,320
Speaker 1: twin that you've been keeping a secret your whole life. Um. Yeah,

631
00:36:37,480 --> 00:36:41,280
Speaker 1: And I was listening to that intelligence podcast. I listened

632
00:36:41,320 --> 00:36:46,000
Speaker 1: to Rational Security, and this was even before they had

633
00:36:46,040 --> 00:36:49,080
Speaker 1: the details about what This was I think they recorded

634
00:36:49,120 --> 00:36:52,439
Speaker 1: it last week on Wednesday, but they were just talking

635
00:36:52,440 --> 00:36:55,600
Speaker 1: about how worrying it is because a lot of the

636
00:36:55,680 --> 00:37:00,560
Speaker 1: checks and balances between the intelligence community and cong gris

637
00:37:00,600 --> 00:37:05,160
Speaker 1: are like norms based, and if it becomes a you know,

638
00:37:05,280 --> 00:37:08,719
Speaker 1: fuck you sue me situation like it seems to be

639
00:37:08,719 --> 00:37:11,640
Speaker 1: becoming with Trump, where he's like I don't have to

640
00:37:11,680 --> 00:37:15,200
Speaker 1: give you anything, who's going to stop me? Then it

641
00:37:15,360 --> 00:37:19,200
Speaker 1: really like it's a constitutional crisis. It's like next level,

642
00:37:19,280 --> 00:37:22,120
Speaker 1: like Okay, we've never been in this situation before. And

643
00:37:22,160 --> 00:37:24,960
Speaker 1: the way the Constitution is written is there's like a

644
00:37:25,000 --> 00:37:27,960
Speaker 1: lot of things that are contradictory where it's like it's

645
00:37:28,000 --> 00:37:31,600
Speaker 1: not clear who has the power. And that's why it's

646
00:37:31,719 --> 00:37:34,400
Speaker 1: worked so far because there's been like pushing back and

647
00:37:34,440 --> 00:37:38,360
Speaker 1: forth over like two hundred years. But now Trump is

648
00:37:38,440 --> 00:37:43,080
Speaker 1: like finding those little creases, those little pressure points in

649
00:37:43,440 --> 00:37:47,080
Speaker 1: the U. S. Constitution, pressing the ship out of them.

650
00:37:47,400 --> 00:37:50,000
Speaker 1: He just really wants us to rewrite it to include

651
00:37:50,000 --> 00:37:52,960
Speaker 1: more voices. That's the whole His whole game plan was

652
00:37:53,000 --> 00:37:55,720
Speaker 1: like they're just like not enough LGBTQ people and people

653
00:37:55,719 --> 00:37:58,160
Speaker 1: of colors the Constitution. So I'm gonna find all the

654
00:37:58,160 --> 00:37:59,920
Speaker 1: holes in it, and I'm going to make sure that

655
00:38:00,080 --> 00:38:02,600
Speaker 1: have to rewrite the whole thing. I really even realize

656
00:38:02,640 --> 00:38:08,600
Speaker 1: what I did. He's playing, He's I think with impeachment,

657
00:38:08,640 --> 00:38:11,640
Speaker 1: there's like the morality issue of like setting the terms

658
00:38:11,680 --> 00:38:15,160
Speaker 1: of impeachment for like future presidents and everything. And then

659
00:38:15,200 --> 00:38:17,839
Speaker 1: there's like the game people are playing where they're like, well,

660
00:38:17,840 --> 00:38:19,680
Speaker 1: what if it like martyrs him, or what if it's

661
00:38:19,719 --> 00:38:21,839
Speaker 1: like bad for the election or you know what I mean.

662
00:38:21,920 --> 00:38:23,719
Speaker 1: Like so I feel like that's like part of the

663
00:38:23,719 --> 00:38:26,680
Speaker 1: reason that people aren't willing to do it is because

664
00:38:26,680 --> 00:38:29,720
Speaker 1: they're like worried about the implications for the immediate future

665
00:38:29,800 --> 00:38:31,759
Speaker 1: as opposed to There's that, and then there's like the

666
00:38:31,840 --> 00:38:34,399
Speaker 1: calculus with like Pelosi, which is like I don't want

667
00:38:34,400 --> 00:38:37,879
Speaker 1: to put Democrats who are already in like like more

668
00:38:38,040 --> 00:38:40,680
Speaker 1: red purple districts to have to like be on that

669
00:38:40,760 --> 00:38:45,879
Speaker 1: side and possibly the House. There's so many calculations going on,

670
00:38:46,000 --> 00:38:47,879
Speaker 1: except for the one of just sort of like this

671
00:38:47,960 --> 00:38:52,200
Speaker 1: is fucking wrong and what the fuck, Like, what's the

672
00:38:52,239 --> 00:38:54,960
Speaker 1: problem here? You're using all these other And I guess

673
00:38:54,960 --> 00:38:57,600
Speaker 1: that's the problem with a lot of the decision making

674
00:38:57,640 --> 00:39:00,560
Speaker 1: here is there are so many factors that someone could consider,

675
00:39:00,920 --> 00:39:03,960
Speaker 1: but the sort of fundamental thing is that this president

676
00:39:04,080 --> 00:39:07,200
Speaker 1: could possibly take us in a direction fully that like

677
00:39:07,239 --> 00:39:09,480
Speaker 1: we can't even come back from. And I get that, Yeah,

678
00:39:09,560 --> 00:39:11,759
Speaker 1: Like is he would he be martyred if he was,

679
00:39:12,000 --> 00:39:14,799
Speaker 1: you know, impeached and then removed from office that way?

680
00:39:14,960 --> 00:39:18,000
Speaker 1: But I think even if he loses in there's gonna

681
00:39:18,040 --> 00:39:20,120
Speaker 1: be a narrative for some people that it wasn't real.

682
00:39:20,200 --> 00:39:25,080
Speaker 1: So it's uh, well fucked either way. I mean, it's

683
00:39:25,080 --> 00:39:26,880
Speaker 1: not gonna be it's not going to be peaceful or

684
00:39:27,239 --> 00:39:30,319
Speaker 1: clean either way unless and even then people talk about,

685
00:39:30,360 --> 00:39:33,640
Speaker 1: well maybe there's a video of something so terrible happening

686
00:39:33,680 --> 00:39:35,759
Speaker 1: that even his supporters could look at. I don't know

687
00:39:35,800 --> 00:39:37,400
Speaker 1: if that's really going to move the needle, because they

688
00:39:37,480 --> 00:39:39,880
Speaker 1: found a way to excuse everything from the death of

689
00:39:40,000 --> 00:39:44,200
Speaker 1: children to pick one. How is there not one picture

690
00:39:44,239 --> 00:39:46,399
Speaker 1: of him in black face? How is he like, how

691
00:39:46,480 --> 00:39:50,520
Speaker 1: is he better off than justin trude? Well, the amazing

692
00:39:50,560 --> 00:39:53,759
Speaker 1: thing is that he uh like with everything he does,

693
00:39:54,120 --> 00:39:56,839
Speaker 1: you know, he says the quiet part out loud, he

694
00:39:56,920 --> 00:39:59,840
Speaker 1: walks around an orange face, and so that's how he was.

695
00:40:00,000 --> 00:40:03,400
Speaker 1: It's the temptation to wear black faces he seems to

696
00:40:03,400 --> 00:40:06,960
Speaker 1: be covered in. That's how he resists that. Every day

697
00:40:07,000 --> 00:40:09,040
Speaker 1: he looks at his makeup kit. There's one orange and

698
00:40:09,080 --> 00:40:15,960
Speaker 1: one black, and he's like, orange, it's good enough. Yeah, alright,

699
00:40:16,120 --> 00:40:18,160
Speaker 1: we're gonna take another quick break. We'll be right back.

700
00:40:28,200 --> 00:40:33,000
Speaker 1: And we're back. And the Emmy's happened two nights ago,

701
00:40:33,840 --> 00:40:37,120
Speaker 1: and ratings were at an all time low. It was

702
00:40:37,160 --> 00:40:41,560
Speaker 1: on Fox. And it was so confused about that. I

703
00:40:41,560 --> 00:40:44,080
Speaker 1: didn't realize it was on Fox. Yeah, Like I was only,

704
00:40:44,280 --> 00:40:45,799
Speaker 1: you know, truth be told. I only watched the first

705
00:40:45,800 --> 00:40:48,120
Speaker 1: three awards because I wanted to see if my friends

706
00:40:48,160 --> 00:40:50,000
Speaker 1: and dear family were going to win. They didn't, but

707
00:40:50,480 --> 00:40:53,680
Speaker 1: still congratulations from the nomination. Uh. And I was looking

708
00:40:53,680 --> 00:40:56,200
Speaker 1: for on CBS, NBC, AB say, like those are really

709
00:40:56,200 --> 00:40:59,360
Speaker 1: where they are? And then when I searched it like Fox,

710
00:41:00,239 --> 00:41:03,840
Speaker 1: this is very un Fox like very Fox like. Was

711
00:41:03,880 --> 00:41:07,000
Speaker 1: that they put Jenny McCarthy out there on the red carpet?

712
00:41:07,080 --> 00:41:10,719
Speaker 1: Are you kidding me? I hate this bitch. Apparently she's

713
00:41:10,760 --> 00:41:13,480
Speaker 1: the host of that masked singer show. How is she

714
00:41:13,560 --> 00:41:16,000
Speaker 1: not like in jail for all the anti bacs, I

715
00:41:16,000 --> 00:41:20,960
Speaker 1: can't hear one of the judges yeah. So, um, I

716
00:41:20,960 --> 00:41:26,240
Speaker 1: hope she and Gwyneth Paltrow shares. They say they actually

717
00:41:26,320 --> 00:41:30,480
Speaker 1: had an interview. She well, she interviewed Gwyneth Paltrow, who

718
00:41:30,520 --> 00:41:34,000
Speaker 1: was there, like, Hey, what ship do you believe in

719
00:41:34,200 --> 00:41:38,120
Speaker 1: that'll get lots of money from people? Right? Silver on

720
00:41:38,160 --> 00:41:41,480
Speaker 1: your neck? Uh, She's like, no, it's got mercury and

721
00:41:42,280 --> 00:41:44,920
Speaker 1: it's good. Actually it's in mercury is in retrograde. That

722
00:41:44,960 --> 00:41:47,520
Speaker 1: means earth mercury is actually good for you. She was

723
00:41:47,560 --> 00:41:50,239
Speaker 1: so bad though that I mean not that like, I

724
00:41:50,280 --> 00:41:53,000
Speaker 1: don't know there there are people who are really good

725
00:41:53,040 --> 00:41:56,200
Speaker 1: at the red carpet interviews and she is not one

726
00:41:56,239 --> 00:41:58,279
Speaker 1: of them. Her name was trending for like twenty four

727
00:41:58,360 --> 00:42:01,960
Speaker 1: hours after just based on how bad she was. She

728
00:42:02,160 --> 00:42:08,040
Speaker 1: demanded that Julia Louis Dreyfus do the Elaine dance she

729
00:42:08,120 --> 00:42:13,000
Speaker 1: did and was just like just quietly declined and walked

730
00:42:13,000 --> 00:42:18,919
Speaker 1: away mid interviews. Yeah, and then she interviewed Christina Applegate

731
00:42:19,160 --> 00:42:24,720
Speaker 1: and congratulated her on her first nomination, which it's her third. Uh.

732
00:42:24,800 --> 00:42:28,279
Speaker 1: And then you know, tried to back her way out

733
00:42:28,280 --> 00:42:32,160
Speaker 1: of that poorly and close the interview by telling Christina

734
00:42:32,160 --> 00:42:35,080
Speaker 1: Applegate that she wanted to be her when she grew up,

735
00:42:35,280 --> 00:42:38,080
Speaker 1: when she was younger, even though they're the same age

736
00:42:38,320 --> 00:42:41,520
Speaker 1: for like one year apart. Oh my god, um so,

737
00:42:41,760 --> 00:42:44,840
Speaker 1: I mean, yes, can I get it? Kelly Bundy iconic?

738
00:42:45,719 --> 00:42:50,680
Speaker 1: But wow, every everything you said makes me you die

739
00:42:50,800 --> 00:42:53,560
Speaker 1: inside to think that you would even come up, You

740
00:42:53,600 --> 00:42:55,960
Speaker 1: would pull up to Julia Louis Dreyfus be like, do

741
00:42:58,440 --> 00:43:00,560
Speaker 1: now I want to make it so that she interviews

742
00:43:00,640 --> 00:43:02,040
Speaker 1: me and then I can just go out of about

743
00:43:02,040 --> 00:43:05,480
Speaker 1: the vaccinations. If I'm on the red carpet and Jenny

744
00:43:05,560 --> 00:43:09,319
Speaker 1: McCarthy is there Fox, But that's a testament to her

745
00:43:09,360 --> 00:43:12,480
Speaker 1: staying power if through even this one and by the

746
00:43:12,520 --> 00:43:15,160
Speaker 1: time you get there, she's still there, and you're like,

747
00:43:15,200 --> 00:43:18,120
Speaker 1: I've been waiting. What are you saying, I can't make

748
00:43:18,120 --> 00:43:23,399
Speaker 1: it by next week? How? No, No, I'm saying, bump, yeah,

749
00:43:23,440 --> 00:43:25,000
Speaker 1: I get that. You know, I'm saying I don't even

750
00:43:25,080 --> 00:43:29,800
Speaker 1: if she's there by next Emmy's unbelievable. They're going to

751
00:43:29,840 --> 00:43:35,240
Speaker 1: be on PBS next time. The fact that executive who's

752
00:43:35,239 --> 00:43:40,880
Speaker 1: out here being like Jenny McCarthy, Yeah, she's sad, she's

753
00:43:40,920 --> 00:43:43,880
Speaker 1: a star. I mean, it's the network that brought us

754
00:43:44,239 --> 00:43:47,399
Speaker 1: Japanese people in doing an eating contest with a bear.

755
00:43:47,960 --> 00:43:51,839
Speaker 1: I loved that clip. Me and my friend we used

756
00:43:51,840 --> 00:43:53,680
Speaker 1: to watch that. Back in the day when you would

757
00:43:53,719 --> 00:43:56,759
Speaker 1: watch a TV show on the phone with somebody. We

758
00:43:56,840 --> 00:44:00,080
Speaker 1: watched the man Verse b specials just laughing because the

759
00:44:00,080 --> 00:44:02,600
Speaker 1: the Fox, like in the early two thousands, those Fox

760
00:44:02,600 --> 00:44:04,759
Speaker 1: specials were by far the most absurd things you could

761
00:44:04,800 --> 00:44:09,120
Speaker 1: have ever watched, right, man spit It was that it

762
00:44:09,160 --> 00:44:12,440
Speaker 1: would be like a group of little people doing a

763
00:44:12,480 --> 00:44:16,560
Speaker 1: tug of war with like an elephant. It was pure bullshit.

764
00:44:16,640 --> 00:44:18,880
Speaker 1: Koby Ashi or whatever, yeah, I think it was, and

765
00:44:18,880 --> 00:44:20,719
Speaker 1: he like he's the hot dog eating guy and he

766
00:44:20,800 --> 00:44:22,200
Speaker 1: had like he was doing his thing where he like

767
00:44:22,280 --> 00:44:24,120
Speaker 1: dipped the bread in the water and he was like

768
00:44:24,160 --> 00:44:26,280
Speaker 1: going at it and everybody was like, oh my god.

769
00:44:26,640 --> 00:44:28,320
Speaker 1: And like the bear was just like looking around and

770
00:44:28,360 --> 00:44:30,600
Speaker 1: Kobyash was getting all these hot dogs down and then

771
00:44:30,640 --> 00:44:31,920
Speaker 1: like right at the end of the bear just like

772
00:44:31,960 --> 00:44:36,719
Speaker 1: looked around, took one bite and everything. He just like, yeah,

773
00:44:36,920 --> 00:44:38,560
Speaker 1: just the story. I think they have a they had

774
00:44:38,600 --> 00:44:41,600
Speaker 1: a dude running against a zebra. It was this dumb

775
00:44:41,760 --> 00:44:45,000
Speaker 1: spectacle ship. When didn't they have you saying bolt run

776
00:44:45,040 --> 00:44:50,280
Speaker 1: against a oh he ran recently. Okay, yeah, Grace Stars,

777
00:44:50,840 --> 00:44:56,319
Speaker 1: um Fox, Yeah there their geniuses of TV. Uh. They

778
00:44:56,360 --> 00:45:01,480
Speaker 1: had Thomas Lennon doing like voiceover work that was like

779
00:45:02,239 --> 00:45:05,080
Speaker 1: where he was because so they didn't have a host.

780
00:45:05,680 --> 00:45:08,960
Speaker 1: It was like part which worked for the Oscars, and

781
00:45:09,200 --> 00:45:13,399
Speaker 1: the reviews seemed to indicate it didn't work here as well. Um,

782
00:45:13,600 --> 00:45:16,520
Speaker 1: they had Towns Lindon like as people were walking up

783
00:45:16,520 --> 00:45:18,239
Speaker 1: to the stage, he would like drop in like some

784
00:45:18,320 --> 00:45:20,799
Speaker 1: voiceover and like some of it was funny because it's

785
00:45:20,800 --> 00:45:23,560
Speaker 1: Thomas Lennon, but like some of it was just so

786
00:45:23,680 --> 00:45:27,359
Speaker 1: jarring that it was it was like director's commentary over.

787
00:45:27,440 --> 00:45:29,759
Speaker 1: It was supposed to be like that usually doesn't have

788
00:45:29,800 --> 00:45:31,680
Speaker 1: it well how it used to be right like or

789
00:45:31,840 --> 00:45:34,560
Speaker 1: normally when the winners announced them, the announcer gives some

790
00:45:34,640 --> 00:45:38,600
Speaker 1: generic factoids this is her third nomination and second win,

791
00:45:38,920 --> 00:45:41,200
Speaker 1: and then it'll be Thomas Lyndon being like, uh this

792
00:45:41,400 --> 00:45:45,160
Speaker 1: they're the they're adding another thirty nine centimeters of Hollywood

793
00:45:45,239 --> 00:45:50,800
Speaker 1: gold plated magic to their closure. Okay. Uh. Also, Daniel

794
00:45:50,840 --> 00:45:55,960
Speaker 1: O'Brien is a fucking any winner now that he writes

795
00:45:56,040 --> 00:46:00,560
Speaker 1: for himself. I was I was high pen him up

796
00:46:00,840 --> 00:46:03,920
Speaker 1: saying you will win, and he's like, it's not gonna happen.

797
00:46:04,360 --> 00:46:06,560
Speaker 1: Look at him, he looked like he belonged up there.

798
00:46:06,600 --> 00:46:09,319
Speaker 1: I'm seeing many more, I mean in his future. And

799
00:46:09,440 --> 00:46:13,839
Speaker 1: Fleabag crushed it a bunch of wins, much deserved. So

800
00:46:14,040 --> 00:46:18,200
Speaker 1: I love. Yeah, it was very good. She's great. All right,

801
00:46:18,320 --> 00:46:21,960
Speaker 1: let's get into our Lenny news, a new segment on

802
00:46:22,000 --> 00:46:26,319
Speaker 1: the show. So first, Bagel Balls Bagel Boss Guy versus

803
00:46:26,400 --> 00:46:31,160
Speaker 1: Lenny di Extra. That fight a celebrity in quotes boxing

804
00:46:31,200 --> 00:46:37,600
Speaker 1: match that no one asked for. So he was Phillies

805
00:46:38,200 --> 00:46:43,879
Speaker 1: baseball No I Mets baseball player. Uh, he's like kind

806
00:46:43,880 --> 00:46:47,080
Speaker 1: of famous for being the Major League baseball player who

807
00:46:47,200 --> 00:46:52,280
Speaker 1: has consumed the most drugs over the course of a lifetime. Uh.

808
00:46:52,600 --> 00:46:56,959
Speaker 1: Possibly um, and you know, struggling. But he was called

809
00:46:57,080 --> 00:47:00,000
Speaker 1: Nails back in the day because he was tough. Uh

810
00:47:00,120 --> 00:47:03,719
Speaker 1: and he had terrible hang nails. I thought he just

811
00:47:03,760 --> 00:47:11,400
Speaker 1: like beautiful manicures. Yeahs, Like, have you seen Lenny's manicure.

812
00:47:11,560 --> 00:47:18,800
Speaker 1: It's insane or really fucking weird, curled over nails world records.

813
00:47:20,440 --> 00:47:22,640
Speaker 1: They always at the end. It's weird how they always

814
00:47:22,640 --> 00:47:24,400
Speaker 1: get that curl at the end. Also, if you ever

815
00:47:24,400 --> 00:47:26,279
Speaker 1: seen actually he's an iron to do it. Also, shout

816
00:47:26,280 --> 00:47:27,920
Speaker 1: out to anyone if you ever seen a woman with

817
00:47:28,000 --> 00:47:31,360
Speaker 1: super long manicure, if you ever see them type with

818
00:47:31,400 --> 00:47:35,480
Speaker 1: the backs of their hands, skill the type the backs

819
00:47:35,800 --> 00:47:37,840
Speaker 1: are out here typing with the backs of their hands.

820
00:47:38,120 --> 00:47:40,160
Speaker 1: Look for it in a city where women have long

821
00:47:40,200 --> 00:47:43,040
Speaker 1: ass nails, and do they instead of fingering, do they knuckle?

822
00:47:44,719 --> 00:47:50,040
Speaker 1: It's a lot of topical rubbing. Yeah, anyway, if we

823
00:47:50,080 --> 00:47:55,040
Speaker 1: went from Lenny Dextra's weird fingernails to knuckling. Anyway, the

824
00:47:55,360 --> 00:48:01,480
Speaker 1: celebrity boxing match. The erstwhile Fox TV executive who organized

825
00:48:01,520 --> 00:48:04,279
Speaker 1: this fight was, you know of an age where he

826
00:48:04,360 --> 00:48:06,240
Speaker 1: was like, who's the toughest dude in the world. Lenny

827
00:48:06,280 --> 00:48:10,360
Speaker 1: Dyke's let's uh, let's have him beat up the Bagel

828
00:48:10,400 --> 00:48:13,520
Speaker 1: Boss guy, because you know that's somebody that everybody wanted

829
00:48:13,560 --> 00:48:16,719
Speaker 1: to see get roughed up a little bit. Uh. That

830
00:48:16,800 --> 00:48:20,440
Speaker 1: fight has been canceled officially. I don't know how we

831
00:48:20,480 --> 00:48:24,040
Speaker 1: didn't start off with this news. This is huge news. Yeah. Well,

832
00:48:24,080 --> 00:48:26,880
Speaker 1: I mean, honestly, I was hoping to see Chris Bagel

833
00:48:26,880 --> 00:48:30,640
Speaker 1: Boss to just get his lit up, his whole soul

834
00:48:30,880 --> 00:48:33,279
Speaker 1: reconfigured and handed back to him. I just don't want

835
00:48:33,320 --> 00:48:39,080
Speaker 1: to see these people become famous. Yeah, he got do

836
00:48:39,080 --> 00:48:41,480
Speaker 1: you know how he's like he was upset, he like

837
00:48:41,560 --> 00:48:44,280
Speaker 1: women hated him, and now he's probably like swimming and pussy.

838
00:48:45,160 --> 00:48:47,959
Speaker 1: I don't know. We did a follow up recently. He

839
00:48:48,080 --> 00:48:50,640
Speaker 1: just basically does a lot of Instagram stories where he's

840
00:48:50,880 --> 00:48:54,080
Speaker 1: begging women to call his manager. Uh and they got

841
00:48:54,080 --> 00:48:56,080
Speaker 1: to live in Suffolk County. But if you live in

842
00:48:56,120 --> 00:48:58,840
Speaker 1: Suffolk County and you want to smoke weed and fucking

843
00:48:58,880 --> 00:49:02,120
Speaker 1: party with me and call my manager and we could

844
00:49:02,120 --> 00:49:04,239
Speaker 1: fucking hang out, you're too good at that. That's what

845
00:49:04,320 --> 00:49:06,560
Speaker 1: he does though, and he's like, he's like it was

846
00:49:06,600 --> 00:49:08,920
Speaker 1: really sad. He just goes, look, I'm gonna be real, Okay,

847
00:49:09,080 --> 00:49:11,360
Speaker 1: I want to fuck and it was like so it

848
00:49:11,480 --> 00:49:15,000
Speaker 1: was clearly point. I think the way that he's getting

849
00:49:15,360 --> 00:49:19,319
Speaker 1: that like shitty attitude of like entitled of course, is

850
00:49:19,400 --> 00:49:23,440
Speaker 1: that he probably is doing okay for himself, but well, no,

851
00:49:23,920 --> 00:49:26,760
Speaker 1: not really doing well for himself. But in his mind

852
00:49:26,880 --> 00:49:29,040
Speaker 1: it's it's probably been the worst thing for his ego

853
00:49:30,760 --> 00:49:33,600
Speaker 1: because I know he's doing like, you know, stuff on

854
00:49:33,680 --> 00:49:36,359
Speaker 1: cameo where you pay him like thirty bucks and he'll

855
00:49:36,360 --> 00:49:40,320
Speaker 1: be like, what's up its bagel? Dude, fuck you to

856
00:49:40,480 --> 00:49:44,600
Speaker 1: give me thirty dollars um. So the reason why though

857
00:49:44,600 --> 00:49:48,000
Speaker 1: the fight got canceled is that right now Lenny Deekstra

858
00:49:48,160 --> 00:49:52,200
Speaker 1: has a fifteen million dollar lawsuit that he's filed against

859
00:49:52,360 --> 00:49:55,640
Speaker 1: l A County and other deputies, saying that he was

860
00:49:55,960 --> 00:50:00,560
Speaker 1: badly beaten while serving a sentence in I mean, now,

861
00:50:00,600 --> 00:50:03,960
Speaker 1: I don't know what exactly happened there, but I'm wondering

862
00:50:04,120 --> 00:50:07,400
Speaker 1: if his lawyer was like, if you're saying that injuries

863
00:50:07,400 --> 00:50:11,280
Speaker 1: and ship, you probably shouldn't be fighting some dude fighting,

864
00:50:11,520 --> 00:50:14,040
Speaker 1: or if you fucking fold this dude up in half,

865
00:50:14,080 --> 00:50:17,479
Speaker 1: they're gonna be like this guy maybe have has been

866
00:50:17,719 --> 00:50:20,839
Speaker 1: very physically aggressive. Whatever happened, I don't know exactly what

867
00:50:20,880 --> 00:50:24,080
Speaker 1: the details are. If it was actually a beating at

868
00:50:24,080 --> 00:50:28,000
Speaker 1: the hands of oh, the cops beat him up so

869
00:50:28,080 --> 00:50:29,880
Speaker 1: that he said the cop okay, I didn't even realize

870
00:50:29,880 --> 00:50:33,120
Speaker 1: that you just said that. I just read it right now.

871
00:50:33,320 --> 00:50:34,680
Speaker 1: I was trying to figure out what happened, Like, I

872
00:50:34,680 --> 00:50:36,520
Speaker 1: didn't know if he wasn't at like he's saying they

873
00:50:36,520 --> 00:50:39,560
Speaker 1: would they didn't adequately protect me in jail, and he

874
00:50:39,600 --> 00:50:41,720
Speaker 1: was beating he was saying he was beat by police.

875
00:50:41,920 --> 00:50:44,120
Speaker 1: So I wonder again, it's probably not good to show

876
00:50:44,160 --> 00:50:49,360
Speaker 1: your client looking very spry and a gro um or

877
00:50:49,520 --> 00:50:51,120
Speaker 1: if the lawyer was like, look, I don't know what

878
00:50:51,200 --> 00:50:52,719
Speaker 1: kind of check you're gonna get out of beating this

879
00:50:53,000 --> 00:50:56,560
Speaker 1: like toxic in cell versus a fifteen million dollar pay

880
00:50:56,640 --> 00:50:59,239
Speaker 1: day from the County of Los Angeles, and he said

881
00:50:59,360 --> 00:51:03,360
Speaker 1: the fight will not be rescheduled, in an effort to

882
00:51:03,400 --> 00:51:09,200
Speaker 1: make it seem like, don't worry about this money. Yeah, right, exactly, alright,

883
00:51:09,480 --> 00:51:12,440
Speaker 1: I'll find Bagel boss through my name of the ring.

884
00:51:13,840 --> 00:51:15,080
Speaker 1: I'll do one of these. I'll just hold him my

885
00:51:15,120 --> 00:51:17,239
Speaker 1: hand and he'll be like why I ought I think

886
00:51:17,280 --> 00:51:21,120
Speaker 1: you could. I think you could slap him once and

887
00:51:21,160 --> 00:51:25,880
Speaker 1: he would something would, something would awaken within him. Yeah,

888
00:51:25,920 --> 00:51:32,840
Speaker 1: like Kung Fu Panda. He just um all right. And

889
00:51:32,880 --> 00:51:35,759
Speaker 1: then in our second update in Lenny News, Lenny Kravitz

890
00:51:35,840 --> 00:51:38,040
Speaker 1: has a problem. He needs our help to solve it.

891
00:51:38,600 --> 00:51:40,680
Speaker 1: He asked me, you said, oh, should we talk about

892
00:51:40,680 --> 00:51:44,239
Speaker 1: the Lenny Kravitz thing. I'll go what happened? And I

893
00:51:44,280 --> 00:51:50,320
Speaker 1: was really concerned that maybe he was he was mangazi

894
00:51:50,400 --> 00:51:54,000
Speaker 1: sex krimna man. Lenny Kravitz is too. I feel like

895
00:51:54,320 --> 00:51:56,840
Speaker 1: I don't know. Well, I I won't put anything past anyone.

896
00:51:56,880 --> 00:51:59,440
Speaker 1: I mean, he did expose himself. He did to dentally

897
00:51:59,480 --> 00:52:05,839
Speaker 1: expose him stuff and everyone was like thank you. Yeah. Yeah,

898
00:52:05,680 --> 00:52:10,800
Speaker 1: Jackson was somewhere pissed, just burst forth from his U

899
00:52:12,400 --> 00:52:16,120
Speaker 1: blew out his pants. Anyways, he tweeted, I'm missing this

900
00:52:16,200 --> 00:52:20,120
Speaker 1: pair of sunglasses with picture of him wearing just very

901
00:52:20,160 --> 00:52:23,480
Speaker 1: Lenny Kravit sunglasses after my show in l A at

902
00:52:23,480 --> 00:52:26,919
Speaker 1: the Shrine this weekend. They're incredibly sentimental to me, their

903
00:52:27,040 --> 00:52:29,840
Speaker 1: vintage and they belonged to a family member. Hoping to

904
00:52:29,880 --> 00:52:34,160
Speaker 1: get them back. No questions asked, any information please email

905
00:52:34,600 --> 00:52:39,400
Speaker 1: Kravitz Glasses at gmail dot com. Oh so I like

906
00:52:39,480 --> 00:52:42,120
Speaker 1: how both pictures are in him or him in different

907
00:52:42,120 --> 00:52:45,320
Speaker 1: types of done him right, just like long sleeve, short sleep,

908
00:52:45,520 --> 00:52:49,160
Speaker 1: very tight form fitting as it should be. I mean that,

909
00:52:49,400 --> 00:52:52,839
Speaker 1: just like that, he created a Gmail for his sunglasses. Well,

910
00:52:52,880 --> 00:52:56,040
Speaker 1: which is funny because I know that I know Kravitz

911
00:52:56,080 --> 00:53:01,160
Speaker 1: Glasses as an optometry clinic in Echo Park. Yeah, so

912
00:53:01,480 --> 00:53:05,200
Speaker 1: he was able to get that dos to get that

913
00:53:06,600 --> 00:53:10,160
Speaker 1: piste right now. M Yeah, I hope they find I'm

914
00:53:10,200 --> 00:53:12,560
Speaker 1: curious to know what that story is. It's just such

915
00:53:12,560 --> 00:53:16,320
Speaker 1: a funny flex. But yeah, yeah, well we'll be following

916
00:53:16,320 --> 00:53:18,560
Speaker 1: the story obviously. I mean I used to do. I

917
00:53:18,600 --> 00:53:22,680
Speaker 1: used to work backstage at the Shrine doing concerts, um

918
00:53:22,800 --> 00:53:25,120
Speaker 1: and ship. If I found somebody, ship, I wasn't given

919
00:53:25,160 --> 00:53:28,640
Speaker 1: it back, right, I mean, I definitely look. Okay, look,

920
00:53:28,680 --> 00:53:32,000
Speaker 1: but this is disclosure. I stole a cell phone charging

921
00:53:32,000 --> 00:53:34,919
Speaker 1: battery pack from talent that left it behind after a concert. Okay,

922
00:53:35,000 --> 00:53:40,759
Speaker 1: I got cancel. Fucking are you able to say who

923
00:53:40,760 --> 00:53:46,040
Speaker 1: the town is? Um? Are you brave enough to say

924
00:53:46,040 --> 00:53:49,160
Speaker 1: who the town? Yeah? Are you? Are you man enough? Yeah?

925
00:53:49,960 --> 00:53:54,560
Speaker 1: It was a dance artist and they were on the

926
00:53:54,600 --> 00:54:06,040
Speaker 1: bill of Hard Halloween two thousand eleven. Get there they are? Alright, guys,

927
00:54:06,239 --> 00:54:12,560
Speaker 1: let's talk about the newest streaming show. Yeah, everybody's excited

928
00:54:12,719 --> 00:54:16,560
Speaker 1: for Uh. No, of course, we're not talking about the

929
00:54:16,560 --> 00:54:22,359
Speaker 1: Reese Witherspoon morning news show coming from Apple. Uh. We

930
00:54:22,400 --> 00:54:29,080
Speaker 1: are talking about Swipe Night, which is Swipe Night, dude.

931
00:54:29,440 --> 00:54:33,359
Speaker 1: The Tinder Show. Yeah, the Chooser Adventure Choose your Own

932
00:54:33,400 --> 00:54:37,440
Speaker 1: Adventure Tinder show. Isn't that Tinder? Tinder is creating an

933
00:54:37,440 --> 00:54:41,560
Speaker 1: original series and it's a play on swipe right. Yeah,

934
00:54:41,680 --> 00:54:48,120
Speaker 1: oh no way, that's fucking sick. Tindo to Tindo. This

935
00:54:48,239 --> 00:54:52,360
Speaker 1: is I mean, this is like the fulfillment of a

936
00:54:52,480 --> 00:54:55,040
Speaker 1: joke I've heard a lot of people make where they're like, yeah,

937
00:54:55,080 --> 00:54:58,440
Speaker 1: you can catch my new web series on tin Tinder,

938
00:54:58,760 --> 00:55:03,000
Speaker 1: like you know, some other list. We're developing a series

939
00:55:03,040 --> 00:55:08,000
Speaker 1: for Craigslist. But yeah, this is, uh, this is really happening.

940
00:55:08,080 --> 00:55:11,680
Speaker 1: I mean the premise is interesting. It's five minute episodes

941
00:55:12,000 --> 00:55:16,319
Speaker 1: where you decide what to do through the narrative where

942
00:55:16,360 --> 00:55:20,680
Speaker 1: it takes place during an impending apocalypse, and I just

943
00:55:20,800 --> 00:55:23,400
Speaker 1: like that in each episode, users to participate will be

944
00:55:23,520 --> 00:55:26,840
Speaker 1: ushered through an apocalyptic scenario and prompted to make a

945
00:55:26,880 --> 00:55:30,120
Speaker 1: series of choices, from the seemingly unimportant how to best

946
00:55:30,200 --> 00:55:34,600
Speaker 1: DJ party to the critical whose life to save? Oh wow.

947
00:55:34,680 --> 00:55:36,319
Speaker 1: I think the reason that this is going to be

948
00:55:36,360 --> 00:55:39,799
Speaker 1: wildly successful is because we no longer use tender to

949
00:55:39,880 --> 00:55:43,360
Speaker 1: actually meet people. We like it's in the game section

950
00:55:43,440 --> 00:55:48,759
Speaker 1: of my phone because y'all play it. But like, I think,

951
00:55:48,480 --> 00:55:51,319
Speaker 1: I think everybody is going to use it and it's

952
00:55:51,320 --> 00:55:52,920
Speaker 1: gonna be very successful because I just use it to

953
00:55:53,000 --> 00:55:55,759
Speaker 1: entertain myself when I'm bored. Another thing pops up and

954
00:55:55,760 --> 00:55:58,680
Speaker 1: you're like, h man, yeah, maybe I don't need to

955
00:55:58,960 --> 00:56:01,880
Speaker 1: really be swiping. I'll just do this mystery game. Because

956
00:56:02,320 --> 00:56:06,160
Speaker 1: because we're the amount that these apps have perfected just

957
00:56:06,239 --> 00:56:10,640
Speaker 1: sucking our faces into the screen time, we've already gamified

958
00:56:11,120 --> 00:56:16,400
Speaker 1: your self worth. So why not just gamified games just

959
00:56:16,480 --> 00:56:20,160
Speaker 1: to entertainment games as they're called, right, that's what you

960
00:56:20,160 --> 00:56:22,919
Speaker 1: guys called video games, entertainment games. I think it would

961
00:56:22,920 --> 00:56:25,279
Speaker 1: be fun if we, like we're able to actually have

962
00:56:25,440 --> 00:56:27,799
Speaker 1: like real world consequences, Like if we it is like

963
00:56:28,040 --> 00:56:32,160
Speaker 1: the general populist could decide on like which celebrities have

964
00:56:32,239 --> 00:56:35,000
Speaker 1: to go on a tender date with each other, that

965
00:56:35,000 --> 00:56:38,160
Speaker 1: would be I would watch that, like right, like really

966
00:56:38,280 --> 00:56:41,440
Speaker 1: truly entertainment you're in control of. Yeah, it'd be great. Well,

967
00:56:41,480 --> 00:56:43,600
Speaker 1: this one now is really just used to like take

968
00:56:43,640 --> 00:56:46,279
Speaker 1: some of the choices you made to better match you

969
00:56:46,360 --> 00:56:49,640
Speaker 1: with somebody. Possibly, I bet it's not going to the

970
00:56:49,680 --> 00:56:53,240
Speaker 1: people that they like, fucking hinge recommends for me is awful,

971
00:56:54,000 --> 00:56:58,080
Speaker 1: Like you'd be most compatible with this fucking like I

972
00:56:58,080 --> 00:57:01,960
Speaker 1: don't know the thing on there, like it says a

973
00:57:02,000 --> 00:57:04,440
Speaker 1: tender used particular view on how a group of characters

974
00:57:04,440 --> 00:57:06,279
Speaker 1: should spend the eve of the apocalypse, will lead them

975
00:57:06,320 --> 00:57:08,680
Speaker 1: to others with similar takes, the thinking goes, and then

976
00:57:08,719 --> 00:57:12,800
Speaker 1: perhaps to an awkward first date in real life. Ah fun,

977
00:57:13,719 --> 00:57:16,240
Speaker 1: It's exciting to see how serial killers will pick their

978
00:57:16,240 --> 00:57:20,320
Speaker 1: next victim. They're promising an awkward first date. Isn't that? Like,

979
00:57:20,360 --> 00:57:23,320
Speaker 1: aren't they supposed to be promising a not awkward person?

980
00:57:23,360 --> 00:57:26,840
Speaker 1: They've given up. They've also gamified their self worth, right,

981
00:57:27,560 --> 00:57:30,880
Speaker 1: because they're like, yeah, you want more swipes, bro, pay

982
00:57:30,960 --> 00:57:34,680
Speaker 1: us more money for hyper mode. Okay, so here's a

983
00:57:34,720 --> 00:57:41,240
Speaker 1: premise arranged marriage. It's a video game slash TV show

984
00:57:41,640 --> 00:57:46,080
Speaker 1: where celebrities are arranged by votes from fans to see

985
00:57:46,120 --> 00:57:48,200
Speaker 1: like who they will go out on a date with,

986
00:57:48,200 --> 00:57:52,440
Speaker 1: with the ultimate goal being somebody gets married. Okay, yeah,

987
00:57:52,640 --> 00:57:57,120
Speaker 1: isn't that? What is that where they get married? They

988
00:57:57,120 --> 00:57:59,560
Speaker 1: are shows, but it's not like I would say married.

989
00:58:00,000 --> 00:58:02,520
Speaker 1: Married at first sight is a little more similar where

990
00:58:02,560 --> 00:58:05,160
Speaker 1: they have experts just be like, okay, are you down

991
00:58:05,200 --> 00:58:07,439
Speaker 1: to get married to whoever we tell you is your

992
00:58:07,560 --> 00:58:13,040
Speaker 1: your match? And to idiots agree and then it's sometimes good,

993
00:58:13,200 --> 00:58:17,320
Speaker 1: most times very cringe e right, Okay, never mind ignore

994
00:58:17,600 --> 00:58:20,440
Speaker 1: no let's we're funding it right now. Hold on, Quimby

995
00:58:20,520 --> 00:58:24,800
Speaker 1: might fund that. Let's get let's get QUI has already

996
00:58:24,840 --> 00:58:27,280
Speaker 1: funded that. They have funded everything. They have funded every

997
00:58:27,320 --> 00:58:32,160
Speaker 1: theoretical possible TV show premise, just to cover their basis.

998
00:58:32,800 --> 00:58:36,520
Speaker 1: But this is from the autour behind Drake's videos for

999
00:58:36,600 --> 00:58:38,600
Speaker 1: God's Plan, and in my feelings, I mean, those are

1000
00:58:38,640 --> 00:58:43,000
Speaker 1: good videos, Grant Evans. They got her directing it, directing it, Okay, yeah,

1001
00:58:43,400 --> 00:58:46,840
Speaker 1: that's such a weird You're like, yeah, I did Drake's videos.

1002
00:58:46,920 --> 00:58:49,080
Speaker 1: Now I'm going to Tinder. That seems like some Tinder

1003
00:58:49,120 --> 00:58:50,920
Speaker 1: as ship though. They're like, and who should we get

1004
00:58:50,920 --> 00:58:54,520
Speaker 1: to direct it? The woman who directed God's Plan. Yeah,

1005
00:58:54,840 --> 00:58:57,360
Speaker 1: and get her on the Just give her a paycheck

1006
00:58:57,440 --> 00:58:59,800
Speaker 1: that she can't say no to. I guess she doesn't

1007
00:59:00,000 --> 00:59:05,120
Speaker 1: only like her bed and her mama. She. I mean, look,

1008
00:59:05,160 --> 00:59:07,800
Speaker 1: that's a good check. I have a feeling there because

1009
00:59:07,800 --> 00:59:11,600
Speaker 1: they put five million dollars into it. There's something there.

1010
00:59:11,640 --> 00:59:13,840
Speaker 1: But it's kind of like this whole thing like everybody's

1011
00:59:13,880 --> 00:59:16,200
Speaker 1: getting into content. Now. I start to where it's like,

1012
00:59:16,240 --> 00:59:18,960
Speaker 1: do they actually have someone who's like a good writer,

1013
00:59:19,200 --> 00:59:21,480
Speaker 1: Like could the product actually be good or it's It's

1014
00:59:21,520 --> 00:59:23,000
Speaker 1: just one of those things where a company with a

1015
00:59:23,000 --> 00:59:25,200
Speaker 1: lot of money is like, dude, we could make content

1016
00:59:25,280 --> 00:59:28,440
Speaker 1: to check. I would really enjoy it if it was

1017
00:59:28,480 --> 00:59:33,439
Speaker 1: really good. I think it would be. Well, yeah, who knows.

1018
00:59:33,520 --> 00:59:37,680
Speaker 1: They don't have to get tinder so even no no

1019
00:59:37,760 --> 00:59:43,120
Speaker 1: baby content, I swear I had to make a profile, sweetie,

1020
00:59:43,320 --> 00:59:45,919
Speaker 1: I would never look. I don't respond to have these

1021
00:59:45,920 --> 00:59:47,880
Speaker 1: messages the other ones I do. I was asking what

1022
00:59:47,920 --> 00:59:51,000
Speaker 1: they their their take on the how you would DJ

1023
00:59:51,120 --> 00:59:58,040
Speaker 1: a party? Means nothing to me, babe. So as if

1024
00:59:58,040 --> 01:00:02,240
Speaker 1: this couldn't get more like sell parody. Even Walmart is

1025
01:00:02,280 --> 01:00:05,240
Speaker 1: getting in on streaming content. They're teaming up with the

1026
01:00:05,320 --> 01:00:11,680
Speaker 1: MGM for the Voodoo vu du streaming platform uh and

1027
01:00:11,800 --> 01:00:14,800
Speaker 1: their first show is a remake of the eighties Michael

1028
01:00:14,840 --> 01:00:18,440
Speaker 1: Keaton movie Mr Mom, which our writer jam McNabb pointed

1029
01:00:18,440 --> 01:00:23,600
Speaker 1: out explores the hilarious premise what if a man tried

1030
01:00:23,640 --> 01:00:28,520
Speaker 1: to raise children? Right? Like? What we even call this

1031
01:00:28,640 --> 01:00:35,640
Speaker 1: male version of mom? Yeah? Exactly, Mr Mom? So what

1032
01:00:35,800 --> 01:00:38,400
Speaker 1: I mean, I'm guessing it's still based on the same

1033
01:00:38,440 --> 01:00:42,120
Speaker 1: outdated sort of gender norms. Yeah, it's just like Walmart

1034
01:00:42,200 --> 01:00:45,240
Speaker 1: is still on board there, like that would be wild.

1035
01:00:45,960 --> 01:00:49,080
Speaker 1: I wish it was like Michael Keaton as Batman raising

1036
01:00:49,120 --> 01:00:51,520
Speaker 1: a kid, right, yeah, that would have been a better thing.

1037
01:00:51,680 --> 01:00:54,000
Speaker 1: And he has no parenting skills because he was orphaned.

1038
01:00:54,160 --> 01:00:55,520
Speaker 1: Was like, I don't know, you just leave him in

1039
01:00:55,560 --> 01:00:57,680
Speaker 1: a case. I don't know, let's never go to a

1040
01:00:57,760 --> 01:01:02,480
Speaker 1: show ever, and just I gotta go the I didn't

1041
01:01:02,480 --> 01:01:06,240
Speaker 1: realize the twist or the update to this is that

1042
01:01:06,640 --> 01:01:09,040
Speaker 1: he has to juggle his parenting duties with launching a

1043
01:01:09,120 --> 01:01:17,400
Speaker 1: startup called Pizza Mail pizza mail delivery service. Yeah wait,

1044
01:01:17,440 --> 01:01:19,760
Speaker 1: it says if I aster have a couple who switches places,

1045
01:01:19,800 --> 01:01:22,120
Speaker 1: Greg quits work to take care of the kids after

1046
01:01:22,160 --> 01:01:25,160
Speaker 1: former stay at home mom Megan lands her dream job.

1047
01:01:27,040 --> 01:01:30,000
Speaker 1: Literally just life. I can't because you have to include

1048
01:01:30,040 --> 01:01:33,080
Speaker 1: the how the hell did they get this way? Where

1049
01:01:33,080 --> 01:01:35,760
Speaker 1: a man stays at home and a woman has a job,

1050
01:01:36,360 --> 01:01:40,160
Speaker 1: It's because the woman wanted things, she had a dream, right.

1051
01:01:40,360 --> 01:01:44,400
Speaker 1: The audacity was is that how the Michael Keaton one worked?

1052
01:01:44,920 --> 01:01:48,600
Speaker 1: I have no idea, no recollection, no record. The funnier

1053
01:01:48,680 --> 01:01:52,280
Speaker 1: part though, too, to be even more like generationally tone deaf,

1054
01:01:52,320 --> 01:01:54,480
Speaker 1: It's like, well, Megan, who is the stay at home

1055
01:01:54,520 --> 01:01:56,680
Speaker 1: mom who's not going back to work has to navigate

1056
01:01:56,680 --> 01:02:00,800
Speaker 1: a work environment tailored for millennial employees. No, you're gonna

1057
01:02:00,840 --> 01:02:04,240
Speaker 1: imagine she's like, what's up? What's up lady? I better

1058
01:02:04,320 --> 01:02:11,800
Speaker 1: eat on out of here on my vate board. Uh well,

1059
01:02:12,320 --> 01:02:15,240
Speaker 1: I will be tuning in to both of those. You're

1060
01:02:15,240 --> 01:02:19,080
Speaker 1: gonna get voodoo Hell yeah, I know how you get these.

1061
01:02:19,480 --> 01:02:22,280
Speaker 1: It's like it's like violently built into half of the

1062
01:02:22,360 --> 01:02:24,720
Speaker 1: screaming TVs now and it's always like a thing. I see.

1063
01:02:24,760 --> 01:02:27,040
Speaker 1: I'm like, the fund is paying for that? Why did

1064
01:02:27,040 --> 01:02:30,040
Speaker 1: you vood do the first app on my like a

1065
01:02:30,040 --> 01:02:32,960
Speaker 1: full button dedicated on my remote? Talk about buttons. I

1066
01:02:32,960 --> 01:02:36,760
Speaker 1: will never touch the voodoo button. Yeah, there's the back

1067
01:02:37,000 --> 01:02:46,920
Speaker 1: mute voodoood? What capitalism? Market economy? Mans? And just you

1068
01:02:46,920 --> 01:02:52,320
Speaker 1: know people, uh competing on a fair playing field. Well play.

1069
01:02:52,400 --> 01:02:55,360
Speaker 1: It's been a pleasure having you back. It's been great

1070
01:02:57,560 --> 01:03:01,880
Speaker 1: great having you. Where can people find? Do you follow you? Okay,

1071
01:03:01,920 --> 01:03:05,680
Speaker 1: get out pen and paper, p A L l A

1072
01:03:05,920 --> 01:03:08,560
Speaker 1: V I g U n A l A. And that's

1073
01:03:08,600 --> 01:03:12,520
Speaker 1: my Instagram, my Facebook, my Twitter, and my website. Yes,

1074
01:03:12,720 --> 01:03:15,320
Speaker 1: And is there a tweet or a work of social

1075
01:03:15,360 --> 01:03:18,960
Speaker 1: media that you've been enjoying Okay, my buddy, I'm gonna,

1076
01:03:19,000 --> 01:03:23,600
Speaker 1: I'm gonna, I'm gonna promote my buddy, my buddy, Rick Cesario.

1077
01:03:24,280 --> 01:03:26,320
Speaker 1: He is very hilarious and he has a bunch of

1078
01:03:26,320 --> 01:03:29,760
Speaker 1: really amazing tweets. He's our Cesario r c I s

1079
01:03:29,760 --> 01:03:33,560
Speaker 1: A r I O on Twitter. His uh. He tweeted

1080
01:03:33,600 --> 01:03:35,880
Speaker 1: six days ago, your sex drive is how far you

1081
01:03:35,920 --> 01:03:40,120
Speaker 1: are willing to drive to have sex? Actually it's he

1082
01:03:40,200 --> 01:03:41,960
Speaker 1: has like a bunch of great tweets. It'll get like

1083
01:03:41,960 --> 01:03:46,120
Speaker 1: fifty thousand likes, but he only has nine seventy two followers.

1084
01:03:46,160 --> 01:03:48,320
Speaker 1: But he has amazing tweets like that all the time.

1085
01:03:48,440 --> 01:03:51,320
Speaker 1: That's so great. Everybody go follow him. Everybody go follow

1086
01:03:51,400 --> 01:03:55,920
Speaker 1: Rick Cesario. Very good writer and myles where you can

1087
01:03:55,960 --> 01:03:58,800
Speaker 1: people find you? And is there a tweet you've been enjoying? Friend?

1088
01:03:59,040 --> 01:04:03,000
Speaker 1: Oh thanks friend? Oh uh? You can find me and

1089
01:04:03,120 --> 01:04:08,080
Speaker 1: follow me on Twitter and Instagram at miles of gray. Um.

1090
01:04:08,120 --> 01:04:10,600
Speaker 1: I would like to call out a couple of treets.

1091
01:04:11,640 --> 01:04:16,760
Speaker 1: One is from u Naiomate paragin at black dress. It's

1092
01:04:16,760 --> 01:04:20,120
Speaker 1: a photo that's a shrimp cocktail only cents, just like

1093
01:04:20,240 --> 01:04:23,640
Speaker 1: nineteen seventy six, and her caption is Las Vegas in

1094
01:04:23,640 --> 01:04:27,320
Speaker 1: a nutshell. Uh, there's something so deeply frightening to me

1095
01:04:27,360 --> 01:04:30,280
Speaker 1: about a shrimp cocktail that is cents. But don't worry

1096
01:04:30,320 --> 01:04:33,200
Speaker 1: about it because it's Vegas. Baby, we buy in volume.

1097
01:04:33,720 --> 01:04:37,280
Speaker 1: And then another tweet is from Reductress. It says woman

1098
01:04:37,360 --> 01:04:40,920
Speaker 1: just calling everything self care to see what sticks. Hell. Yeah,

1099
01:04:40,960 --> 01:04:45,840
Speaker 1: I feel like that's sometimes some tweets have been enjoying.

1100
01:04:46,280 --> 01:04:51,080
Speaker 1: Ben Rosen tweeted everyone silence of the Lambs New York

1101
01:04:51,080 --> 01:04:59,760
Speaker 1: Times for Lambs silence. Uh. Paul Left Tompkins reminder also

1102
01:04:59,800 --> 01:05:02,919
Speaker 1: mark the end of pit Bull's current terms. Mr Worldwide,

1103
01:05:03,000 --> 01:05:05,080
Speaker 1: please go to a bunch of clubs in Miami over

1104
01:05:05,080 --> 01:05:07,560
Speaker 1: the next twelve months and learn about the other candidates.

1105
01:05:10,800 --> 01:05:17,440
Speaker 1: And Katie Stole tweeted in response to Daniel O'Brien's tweet,

1106
01:05:17,480 --> 01:05:21,320
Speaker 1: a thrilling day for this simple fisherman. She tweeted, unbelievably

1107
01:05:21,360 --> 01:05:23,760
Speaker 1: proud of this man. Think just a few short years

1108
01:05:23,760 --> 01:05:27,000
Speaker 1: ago we were shooting things like who fucked this pumpkin?

1109
01:05:27,920 --> 01:05:32,800
Speaker 1: Which was uh sketch from Michael swam that uh, one

1110
01:05:32,800 --> 01:05:36,560
Speaker 1: of the all time greats. That is exactly It's a

1111
01:05:36,600 --> 01:05:41,000
Speaker 1: mystery wrapped in Nickma wrapped in an episode about who

1112
01:05:41,000 --> 01:05:44,040
Speaker 1: funk this pumpkin? Uh? You can find me on Twitter

1113
01:05:44,080 --> 01:05:46,440
Speaker 1: at Jack Underscore O'Brien. You can find us on Twitter

1114
01:05:46,480 --> 01:05:49,400
Speaker 1: at daily Zeitgeis. Were at the Daily z eyegeis on Instagram.

1115
01:05:49,400 --> 01:05:51,920
Speaker 1: We have a Facebook fan page and a website Daily

1116
01:05:52,120 --> 01:05:55,560
Speaker 1: zygeis dot com. We post our episodes and our footnote

1117
01:05:55,920 --> 01:05:58,160
Speaker 1: where we link off to the information that we talked

1118
01:05:58,160 --> 01:06:01,040
Speaker 1: about in today's episode as well. The song we ride

1119
01:06:01,080 --> 01:06:04,800
Speaker 1: out on miles What's that Gonna be a new track

1120
01:06:05,040 --> 01:06:07,560
Speaker 1: from e La Bamba played a lot of her MutS before.

1121
01:06:07,640 --> 01:06:12,720
Speaker 1: This one is called Gabrielle And look again, the vibes

1122
01:06:12,720 --> 01:06:16,280
Speaker 1: are right, the drums are booming, the percussion is great.

1123
01:06:16,320 --> 01:06:18,720
Speaker 1: I really like percussion. You like percussion on this and

1124
01:06:18,920 --> 01:06:22,200
Speaker 1: just you know, embrace enjoying. The Daily is out guys

1125
01:06:22,240 --> 01:06:24,600
Speaker 1: does a production of I Heart Radio for more podcasts

1126
01:06:24,600 --> 01:06:26,160
Speaker 1: from my Heart Radio VI is it the I Heart

1127
01:06:26,200 --> 01:06:28,760
Speaker 1: Radio app, Apple podcast or wherever you listen to your

1128
01:06:28,760 --> 01:06:31,960
Speaker 1: favorite shows. That's gonna do it for today. We will

1129
01:06:32,000 --> 01:06:34,040
Speaker 1: be back tomorrow because it is a daily podcast and

1130
01:06:34,080 --> 01:07:03,360
Speaker 1: we'll talk to you then by making and described and

1131
01:07:03,520 --> 01:07:08,800
Speaker 1: the color my jiss surprised