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Speaker 1: Hello the Internet, and welcome to season forty eight, episode

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Speaker 1: one of Daily Night Geast for Monday, September ten, two

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Speaker 1: thousand eight teen. My name's Jack O'Brien. A Kay, I'm

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Speaker 1: not the man they think I am at home. Oh no, no, no,

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Speaker 1: I'm Jack O'Brien. That was courtesy with Hannah Solstice or Saltice,

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Speaker 1: but I'll give it a little space theme. Anyways, I'm

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Speaker 1: thrilled to be joined today by a very special guest

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Speaker 1: co host, Miss Lazy Mosley. Hey, what's up? Its Lazy Moseley.

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Speaker 1: A k e Nicki minaj is kin Katy week and

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Speaker 1: I called you Lazy Mosley. You did everyone? Yeah, because

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Speaker 1: the Mosley uh anticipated that. I don't think you're lazy.

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Speaker 1: You sprinted into the office today. You were in athletic

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Speaker 1: ware and it looks amazing. And we are thrilled to

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Speaker 1: be joined in our third seat by an actor. All right.

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Speaker 1: He is currently on Disney's Big Hero six, Lifetime's upcoming

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Speaker 1: show American Princess, an upcoming movie on Netflix by Noah Bomb,

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Speaker 1: back upcoming Netflix cartoon called trash Truck. He co hosts

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Speaker 1: Saving the World with Barry and Lucas on Starburn's audio.

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Speaker 1: He is Lutma Smith, hey, having thank you so much

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Speaker 1: for being here. We're gonna get to know you a

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Speaker 1: little bit better in a moment. But first we're gonna

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Speaker 1: tell our listeners what we're gonna be talking about today.

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Speaker 1: Obama is back. He talked to a weary nation about

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Speaker 1: our weariness. We're going to talk about his speech, where

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Speaker 1: you're going to talk about Trump's latest Trump rallies and

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Speaker 1: what's going on in the background. Some people started paying

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Speaker 1: attention to the background, noticing people literally blowing their nose

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Speaker 1: on the flag, but also a strange sort of invasion

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Speaker 1: of the body snatchers mystery that was taking place, where

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Speaker 1: people who seemed to be appropriately baffled by the president's

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Speaker 1: words would then just be replaced by smiling maga hat

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Speaker 1: wearing aids. And we're gonna talk about the best deal

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Speaker 1: ever Domino's Pizza giving away a hundred free pizzas per

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Speaker 1: year for a hundred years. I don't know math, but

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Speaker 1: that's a lot of pizzas. Unfortunately, you have to be

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Speaker 1: Russian to get that. All you have to do is

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Speaker 1: get Domino's logo tattooed on your body. We're gonna talk

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Speaker 1: about the latest additions to the Merriam Webster dictionary. Trump's

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Speaker 1: continued reaction to last week's New York Times op ed.

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Speaker 1: Now he's saying he wants Sessions to investigate. Uh, and

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Speaker 1: we kind of do too, because we're curious who wrote

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Speaker 1: that ship. We're gonna talk about Tesla and Elon Musk

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Speaker 1: smoking weed on podcast on the wrong podcast, I might add.

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Speaker 1: We're gonna talk about Cuba and China attacking us with

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Speaker 1: micro waves, the whole diplomat attack conspiracy, uh, and why

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Speaker 1: I still don't buy it. We're gonna be talking about

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Speaker 1: Nicki Minaj giving money to Gary h to Jeffrey Owens

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Speaker 1: from The Cosby Show. Uh, we call him Gary here

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Speaker 1: at the office. You did well, you wrote Gary on

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Speaker 1: the Yeah, that's gets contagious that way. Hey, that's all right.

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Speaker 1: But first, Lucas, what is something from your search history

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Speaker 1: that is revealing about who you are? Uh? Real thing

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Speaker 1: about me? I guess, Uh, well, just the last thing

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Speaker 1: that a Google search was images of Joseph Stalin because

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Speaker 1: just a big fan love yeah big well, you know

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Speaker 1: efficient efficients and left. My wife's relationship to uh two

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Speaker 1: house flies is sort of most similar to Joseph Stalin's

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Speaker 1: relationship to the Russian you know, rural class. So she's

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Speaker 1: like she crushed is that she crushes them, She's furious

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Speaker 1: at their insubordination, and she's constantly making lists. Okay, you

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Speaker 1: know god, Yeah, so I was, yeah, I was looking

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Speaker 1: for a good image that I was like, this is

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Speaker 1: this is you, this is who you are, and it's

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Speaker 1: sort of like him in military uniform, sort of in

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Speaker 1: the middle end of his career. We have this podcast

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Speaker 1: Behind the Bastard hosted by a guy Robert Evans, where

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Speaker 1: he has this theory that it's actually Joseph Stalin's handsomeness

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Speaker 1: and a lot of these different dictators handsomeness that cause

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Speaker 1: really good looking, really look young Joseph Stalin. You're gonna

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Speaker 1: be like, yeah, I mean it's it's a well, it's

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Speaker 1: the same thing as like CEOs. We're talking about Elon

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Speaker 1: Musk being really tall earlier. There's like some average height

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Speaker 1: of CEOs that they're all almost all over six feet tall, right,

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Speaker 1: which is just like we like tall, like charisma, you know.

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Speaker 1: And also I think it's also partially um there's that

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Speaker 1: thirty Rock episode The Bubble where John Hamm is so

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Speaker 1: good looking that nobody tells him he's a terrible doctor

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Speaker 1: or a terrible cook, and I will I wonder how

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Speaker 1: much of it is just them, sort of just everybody

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Speaker 1: being like, yeah, man, that's great, you're you're crushing at Joseph.

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Speaker 1: I think we all live in a bubble. Yeah. I

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Speaker 1: think we're all actually in a bubble of that's almost

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Speaker 1: completely filled with sort of like delusions of some measure. Well,

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Speaker 1: you think we're living in a I don't think we're

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Speaker 1: living in a simulation, Okay, but I don't think that.

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Speaker 1: I think this is very real. I I adhere to

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Speaker 1: the Raymond Talis view of life. What is it? He's

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Speaker 1: a polymath and he's like, all these theories about time

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Speaker 1: and everything are really great, but at the end of

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Speaker 1: the day, you're still late for the bus. I think

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Speaker 1: that things are a lot simpler than we I mean,

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Speaker 1: in l A, no one's late for the bus really

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Speaker 1: because you almost know there are no busses practically, but

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Speaker 1: I mean, people take it. But it's just that there's

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Speaker 1: there's certain life in some ways in time is simpler

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Speaker 1: than we like to imagine, because I think it's sort

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Speaker 1: of it does more complicated theories offer us the possibility

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Speaker 1: of less mortality, and I think that's sort of very seductive. Yeah,

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Speaker 1: I don't think it's true. At the same time, really

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Speaker 1: complicated math gave us the atomic bomb, which was very real.

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Speaker 1: Somewhere in between, well, I think math is real. Yeah,

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Speaker 1: I agree. What is something you think is overrated? Overrated? Uh?

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Speaker 1: Probably just like money and media. I think all money

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Speaker 1: is essentially overvalued for having value. Um. I think that,

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Speaker 1: you know the the we've sort of like created a

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Speaker 1: construct within our own brains where now we com modify

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Speaker 1: everything we encounter, like we're like, oh, this moment is

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Speaker 1: worth this much and this thing is worth this much,

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Speaker 1: and as opposed to experiencing things on their own terms.

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Speaker 1: And I think that's sort of a really shitty way

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Speaker 1: that we've sort of made sure that we all go

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Speaker 1: through life. Oh man, I'm a part of that shitty way.

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Speaker 1: I monetize everything. Instagram at funerals, so keep watching. Uh,

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Speaker 1: this is good content. Keep those hearts coming, ladies and gentlemen.

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Speaker 1: I will instagram my families. Yeah, I mean yeah, I

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Speaker 1: just think, like two miles away in space, like, uh,

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Speaker 1: there's literally nothing that cares about us or any of

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Speaker 1: our problems, and so it just seems crazy to me

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Speaker 1: that the only way we can experience the world is

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Speaker 1: through this sort of made up a system of currency. Yeah. No,

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Speaker 1: it's very pervasive, and I agree. I agree. It's good

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Speaker 1: to get out of that mind frame sometimes, if if

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Speaker 1: it's possible, I don't know that it is. Yeah, meditation

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Speaker 1: is good. Check out meditation. Check out What is something

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Speaker 1: you think is underrated? Figs? Who figs are the sense?

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Speaker 1: Your whole appearance on the show is fig base. I

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Speaker 1: have like six boxes of figs in my fridge currently

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Speaker 1: because they're available like three weeks a year, and they're

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Speaker 1: the best tasting, like fresh fresh figs, so not dried

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Speaker 1: like the fruit doing yourself eating dried figs. Look, I'm

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Speaker 1: leaving like the pleas I'll get my things and go fresh.

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Speaker 1: I didn't understand why everybody, like in history books, like

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Speaker 1: the Saltan was eating figs and like them. Now I

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Speaker 1: get it. They're the friend of salts. They're food. Yeah,

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Speaker 1: you can't just get figs on the rag. No, it's

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Speaker 1: really hard to get figs. They're super expensive, but they're

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Speaker 1: the most I would eat trates crates of figs every

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Speaker 1: day if I could, and everybody doesn't like them. I

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Speaker 1: don't get it. So are they underrated? Are they just rare?

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Speaker 1: I mean I think most I think they're underrated because

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Speaker 1: I offer them to people all the time free of charge,

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Speaker 1: and they're like the streets doing the lord's work. And

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Speaker 1: I'm like, you don't know what you don't know what,

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Speaker 1: you're missing, You're crazy. This is so weird because my

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Speaker 1: mother in law's in town and was really pushing Figs

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Speaker 1: on me earlier this week, and I was like, what

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Speaker 1: is that? He and you were like a figure like

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Speaker 1: resistant Because it wasn't that I didn't want them. I

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Speaker 1: just wasn't in the mood to eat anything. And I

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Speaker 1: also thought they'd be messier than they were only easy

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Speaker 1: to eat. Yeah, they're really easy to eat, yeah, like perfect.

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Speaker 1: I've always had a bad impression of them because like

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Speaker 1: fig Newton's right, Yeah, figs are gross. Fake. Newton put

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Speaker 1: its stamp on fake, and I believed him. I believe Newton.

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Speaker 1: Fig Fig Newton. Is it like a tray of bar

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Speaker 1: like snacks, you know what I mean? If it's it's

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Speaker 1: like this number six or number seven thing I will

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Speaker 1: turn to in a case of desperation, like I need

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Speaker 1: a bar like snack. It's kind of like Carbi and

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Speaker 1: like Jammy it was a bit of sweet. I'll do

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Speaker 1: like it. I'll have a fig Newton. But I'm not

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Speaker 1: a fan. It was like daycare food. It was like yeah, yeah, yeah,

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Speaker 1: I just feel like something a baby just like like

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Speaker 1: choose on to like it's really wet, very very soft,

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Speaker 1: can't soggy. Fig Newton Those and bananas are among the

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Speaker 1: foods that you can just give a kid and not

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Speaker 1: worry about them choking and then leave the room. Yeah,

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Speaker 1: leave for a week. It's just a box of the

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Speaker 1: fig Newton's. I have kids, that's bad news for them

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Speaker 1: in terms of them being rare. Like you know, all

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Speaker 1: fruits used to be rare and only come u of season,

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Speaker 1: like for two weeks out of the year, and then

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Speaker 1: science just you know, science did now we have strawberries

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Speaker 1: year around because that was like what there was a

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Speaker 1: lot of demand for. So figs would be less rare

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Speaker 1: if there was more demand for I'm okay with rarity, though,

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Speaker 1: you know, it's a bummer to not have figs. But

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Speaker 1: I think globalization and think about how much money they

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Speaker 1: could be making Lucas, that's the important thing, Lucas, You're

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Speaker 1: not behind Big Fig. I love Big Fig as much

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Speaker 1: as anybody. You know, one great SoundCloud album, but that

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Speaker 1: would be a little Figtig have a tattoo of a

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Speaker 1: small even smaller fig. I'm all into that. Yes, you

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Speaker 1: should take that while it's still free. Oh no, yeah, yeah,

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Speaker 1: I gotta get on it. It sounds that's moving quickly right.

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Speaker 1: All the SoundCloud sound robbers are late. There's everything I

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Speaker 1: took a little also little? Why are they also little?

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Speaker 1: They are very thin and little in staff. I guess

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Speaker 1: a diet of lean will really slim you down right,

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Speaker 1: I mean talk about a light casket. Yeahs as a child,

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Speaker 1: you don't want to be doing just a one pall

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Speaker 1: bearer cast. He's carried out by only one of the

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Speaker 1: rapp looks like they're carrying a basket, and he's born.

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Speaker 1: A SoundCloud wrapper is born, pa Bear. And finally, Lucas,

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Speaker 1: what is a myth with something people think is true?

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Speaker 1: You know to be false? A myth uh people think

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Speaker 1: is true that I know to be false? Um, okay,

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Speaker 1: I guess that recycled toilet paper is good. Okay, it's not.

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Speaker 1: I interviewed this woman who has a zero waste sort

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Speaker 1: of lifestyle, and she's like, recycled toilet paper. One paper

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Speaker 1: only can be recycled so many times it has it

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Speaker 1: doesn't have infinity recycling, and then it eventually ends up

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Speaker 1: as just waste. And recycled toilet paper in specific is

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Speaker 1: bleached and with b p A with b p A

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Speaker 1: s which are like supercarcon a genic um. So every

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Speaker 1: time you're using recycled toilet paper, you're basically rubbing yourself

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Speaker 1: down with these highly carson yeah, ask cancer, and it

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Speaker 1: leaks into our groundwater and then our landfills and our

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Speaker 1: our ground because the b PA escapes the toilet paper eventually,

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Speaker 1: and that's what's left behind. So we're sort of poisoning

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Speaker 1: our butt holes and the planet the planet's buttholes as well.

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Speaker 1: What do you use on your butt? Oh, so you

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Speaker 1: just shampoo your butt. It's not shampoo, it's water. It's

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Speaker 1: just water. Could I add soap to it if I want?

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Speaker 1: I'm sure you could find a way. It would be

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Speaker 1: a complicated, a complicated rig that you could do it.

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Speaker 1: It's really easy. You can get in an Amazon bron delts.

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Speaker 1: Do you have a hair dry. Do you use dry?

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Speaker 1: I mean you just you know, I'll dab, I like

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Speaker 1: dab dry with what. I'm so curious. You know, I

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Speaker 1: think bamboo toilet papers may be better recycle alright, but frankly,

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Speaker 1: you don't you know you can just you can just

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Speaker 1: air dry. You know. You know, a nice breezy day

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Speaker 1: if you're in comfort of your own home, right, you

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Speaker 1: just don't pull your pants up around? Yeah, I got

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Speaker 1: it big, but I don't know. There's like a lot

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Speaker 1: of hair. I have a fan that I sit on

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Speaker 1: the afternoon. It's nice, right yeah. Yeah. Now is it

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Speaker 1: hard to get a Biday installed in your bathroom? It

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Speaker 1: was hard because for me because I have a total

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Speaker 1: brand toilet, which are these japanesee Like oh yeah, they're

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Speaker 1: like the fort Knox of toilets. They're like made to

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Speaker 1: be one piece unbreakable ceramic fortresses. Um. But for most toilets, uh,

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Speaker 1: it's it's a pretty easy installed process. All right. Well,

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Speaker 1: you can get it on Amazon for like thirty bucks.

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Speaker 1: There you go, do it. People. You'll save so much

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Speaker 1: money on to itself and on you know ask cancer,

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Speaker 1: which is very expensive. Yeah, Ask cancer is very expensive.

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Speaker 1: And I comfortable. Yeah, gentleman by the name of Barack

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Speaker 1: Obama's back, you guys. He gave a speech at the

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Speaker 1: University of Illinois that had just some some great rhetoric

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Speaker 1: that would unite us all if half the country wasn't

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Speaker 1: just like bouncing on the balls of their feet, just

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Speaker 1: ready to jump on whatever he says and be offended

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Speaker 1: by it. But his overall message was that Trump's not

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Speaker 1: America's biggest problem. In America's biggest problem is indifference, which

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Speaker 1: was a nice refreshing message, I think because it's something

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Speaker 1: that people can actually solve and do something about, as

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Speaker 1: opposed to the news cycle and just the zekeeist in

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Speaker 1: general these days makes people feel a little bit helpless

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Speaker 1: and like they don't really have any control over over

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Speaker 1: the world or you know, the news cycle. And I

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Speaker 1: think his point was, you know, get out there and vote.

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Speaker 1: Did you guys hear the speech here? Any parts of it? Um?

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Speaker 1: I heard it, and I heard I mean I read

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Speaker 1: quotes on Twitter. Yes, there you go. So it's practically

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Speaker 1: like Brock was sitting next to me right, did anything here?

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Speaker 1: I mean, he's always a moving speaker, and I've seen

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Speaker 1: him and heard him speak a ton of times, and

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Speaker 1: what he's saying is not stuff that I guess I'm

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Speaker 1: unfamiliar with. So I was just like, okay, cool, cool,

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Speaker 1: Yeah we should be voting. Yeah, we shouldn't be getting

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Speaker 1: you know, complacent or cynic or cynical, cynical. Thank you.

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Speaker 1: My brain is not functioning on full form yet. But

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Speaker 1: I I don't know. I think Trump could get a

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Speaker 1: second ar Yeah, no, I think it's totally possible. It

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Speaker 1: feels almost inevitable. Yeah, I don't know. So some part

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Speaker 1: of me this morning was like, a ship, this is

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Speaker 1: really going to rev up the Trump base. But people

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Speaker 1: were saying that that's not necessarily true, that he's gone

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Speaker 1: out and stumped for liberal candidates in the past and

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Speaker 1: it hasn't gotten the Republicans out anymore. It's just their

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Speaker 1: levels of participation of stay at this him and Democrats

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Speaker 1: have shown out in higher numbers. But the right, like

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Speaker 1: Ben Shapiro, was like, um, Obama lecturing us is how

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Speaker 1: you got Trump in the first place, which is probably

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Speaker 1: what he'd say if he was just worried that Obama

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Speaker 1: talking to the country was like bad for his side. Yeah,

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Speaker 1: I mean Obama galvanizing the country isn't what caused Trump

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Speaker 1: to be able? Like so, yeah, I mean, does it

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Speaker 1: ever feel like, you know, these sort of like moments

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Speaker 1: are just this endless feedback loop. It's just the same

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Speaker 1: people saying the same things over and over and over

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Speaker 1: and over and over again. Yeah, Like, I mean, I

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Speaker 1: don't know what sort of analysis of actual impact these

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Speaker 1: sort of like like the conversation, Like Obama makes a speech,

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Speaker 1: the right gets upset, the left defends it. Like it

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Speaker 1: feels like this sort of is happening ad infinitum, Like

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Speaker 1: at what point does it's still matter to everyone that

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Speaker 1: we that Ben Shapiro criticized Obama, Like, I mean, does

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Speaker 1: it still matter? It still matters deeply to me? Because

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Speaker 1: I him a Shapiro head, I'm a huge fan. Uh No.

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Speaker 1: I I think his argument is disingenuous and bullshit, and

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Speaker 1: I think more of a sign of I think it's

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Speaker 1: more of a sign of them being a little bit scared.

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Speaker 1: We're worried about because this is the first time that

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Speaker 1: Obama has come out and directly addressed the state of

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Speaker 1: the nation and Trump in particular, and I think he

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Speaker 1: did it in a way that wasn't lexury. Like I

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Speaker 1: think sometimes you can look at people's words and see

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Speaker 1: what like they'll use the word that they want to

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Speaker 1: be true and like, so he wished that Obama came

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Speaker 1: off a lecturing, but it was really like a unifying

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Speaker 1: message and kind of rhetorically pretty smart and not lexury

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Speaker 1: the way that he did it. Yeah, and and essentially

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Speaker 1: this speech is the equivalent of a U up text

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Speaker 1: from the one that got away, like you know, we

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Speaker 1: did we did our bay barocks so dirty. And then

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Speaker 1: he went on vacation, he lived his best life. Uh,

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Speaker 1: you know, he's finer than ever. And he came back

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Speaker 1: and it was just like it's like having a cathartic

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Speaker 1: talk with the eggs, like, yeah, man, I know I

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Speaker 1: sucked up. You're like, yeah, you did sunk up, but hey,

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Speaker 1: you can always change your life, but not with me

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Speaker 1: though I've moved on. Yeah. But he seemed to be

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Speaker 1: really reaching his hand out to everybody except for the

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Speaker 1: powerful and the privileged. So in a sense he may

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Speaker 1: have been lecturing Ben Shapiro if because he might be

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Speaker 1: one of the few people who's like I am powerful

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Speaker 1: and privileged. That's how I identify. Do you think anybody's

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Speaker 1: listening to Obama who doesn't already listen to Obama? Like,

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Speaker 1: do you think that like any part of the right,

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Speaker 1: I think there is actually open to listening to the

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Speaker 1: man they literally despise. I don't think that that speech

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Speaker 1: is for the right, I know, but you know what

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Speaker 1: I mean. I'm just like, so the people who are listening, though,

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Speaker 1: are like, what what new audiences he reached? I don't

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Speaker 1: think he's probably reaching the thirty nine percent of people

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Speaker 1: who are still supporting Trump. But Trump didn't win with

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Speaker 1: only those people, and also one with people who were

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Speaker 1: Obama voters and then came over to the Trump side.

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Speaker 1: And now Trump has lost part of the people who

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Speaker 1: voted for him, like not a huge part, but still

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Speaker 1: a percentage of them. And you know, I think the

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Speaker 1: people at home, right, like the people who didn't vote

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Speaker 1: in the last election, who you know, who didn't feel

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Speaker 1: as inspired. I feel like Obama has the gift of

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Speaker 1: being a talented speaker, and unfortunately we live in a

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Speaker 1: country that sustains itself more on entertainment than it does

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Speaker 1: on education, so people need their dick's hard to go vote.

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Speaker 1: You know, yeah, I guess, like I still think like

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Speaker 1: for me, I guess I always think that's a candidate issue,

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Speaker 1: Like you know what I mean, Like, yeah, it was.

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Speaker 1: If Obama makes a million great speeches, but you have

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Speaker 1: a shitty candidate, people are still going to be less

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Speaker 1: motivated to go vote, but they'll still be motivated to

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Speaker 1: vote if they're worried about the alternative. Although we've seen

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Speaker 1: in the past with like elections like John Kerry where

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Speaker 1: it was like we were voting against Bush and that's

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Speaker 1: not specifically, he specifically tried to address that by connecting

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Speaker 1: people's outrage to the act of voting as opposed to

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Speaker 1: and I think he even specifically said, like, this is

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Speaker 1: not a popularity contest, like there's some great candidates out there,

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Speaker 1: but like this is not Coachella. It's not a rock concert.

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Speaker 1: Like you're not going there to be necessarily yeah, like inspired,

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Speaker 1: it's you're you're going there to vote to affect change

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Speaker 1: in the world around you. So I think what you're

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Speaker 1: talking about is specifically something he was trying to address.

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Speaker 1: So there will be no twopac holograms at the polls.

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Speaker 1: I guess that's why I was going might be the

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Speaker 1: rock I voted stickers get people out. You can put

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Speaker 1: that on your Instagram. Should we make those cuter? Yeah?

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Speaker 1: Do we need a mural like? And I voted mural

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Speaker 1: at every poll. Yeah, I'll come take Instagram photos of

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Speaker 1: you if you just go vote. Yeah. All right, we're

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Speaker 1: gonna take a quick break. We'll be right back, and

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Speaker 1: we're back. And so Trump was doing his Trump thing

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Speaker 1: at a rally at the end of last week, and

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Speaker 1: people started paying attention to the people behind him because

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Speaker 1: he's just on auto repeat, animatronic Trump, just spitting out

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Speaker 1: the same all the hits. So people's attention drifts to

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Speaker 1: what's going on behind him. And there was a young lady,

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Speaker 1: you know, respecting the ship out of the flag, wiping

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Speaker 1: her nose on it, which for some reason, people didn't

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Speaker 1: object to that, even though that's the sort of thing

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Speaker 1: that if an NFL player did it, who man, they

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Speaker 1: would freak out. But anyways, I have a real tough time.

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Speaker 1: If Tom Brady did, it'd be tough to figure out

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Speaker 1: how to feel about. A lot of people would be

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Speaker 1: really confused. Feeling is disrespectful for the flag, but you

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Speaker 1: can stick that ship all the way up your nose

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Speaker 1: on national television. Um. I do feel really bad for

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Speaker 1: her because she looks like she's you know, middle school

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Speaker 1: aged person and is probably getting a lot of ship,

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Speaker 1: but she's also at a Trump rally, so that's on

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Speaker 1: her um. So there's also this dude who was like

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Speaker 1: right over Trump's right here, who seemed to be, you know,

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Speaker 1: reacting appropriately because he was like what at a couple

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Speaker 1: of points, like literally mouthing the words of what after

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Speaker 1: Trump said something particularly wild. It was like looking into

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Speaker 1: the middle distance like just kind of uh shocked and

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Speaker 1: horrified as to what the president was saying, and but

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Speaker 1: not like overly, so like he wasn't like hamming it

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Speaker 1: up really And then at a certain point, a young

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Speaker 1: woman who looked she really has the same look as

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Speaker 1: Kavanaugh's assistant who was sitting behind him and Dana lash

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Speaker 1: The She's got like that straight Burnett hair look that

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Speaker 1: there's apparently like a factory for conservative women that turns

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Speaker 1: these folks out. But she comes up and just like

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Speaker 1: moves him out of the She's just like, you have

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Speaker 1: to leave, and he's like escorted out the other direction.

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Speaker 1: And then there are these other people, a couple of

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Speaker 1: dudes wearing maga hats who aren't doing anything really bad,

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Speaker 1: but a pretty Trump staffer comes up and replaces them

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Speaker 1: and begins just smiling like a cheerleader. It's just like yes,

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Speaker 1: And then another woman comes up then is smiling. So

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Speaker 1: they want the optics of you know, enthusiastic Trump supporting women, uh,

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Speaker 1: and they don't want any sort of dissonance. But it

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Speaker 1: ended up having the vibe of real like invasion of

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Speaker 1: the body snatcher ship. And I'd like to take credit though,

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Speaker 1: because those women came from my new modeling school, make

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Speaker 1: America Beautiful Again. I'm sure you've heard it on the

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Speaker 1: radio on Yeah, yeah, I'm sure you've heard of us

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Speaker 1: on the radio. We go have a convision at the

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Speaker 1: Marriott next week. Bring your checks, um. But like it's

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Speaker 1: crazy because also what they're saying is is that like, look,

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Speaker 1: you real ugly ass Trump supporters got to get the

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Speaker 1: hell out of the way. Like they replaced them with

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Speaker 1: complete plants. Like there was a girl who would just

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Speaker 1: be a quiet you love and Trump, you know what

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Speaker 1: I mean. Like she looked like she came straight out

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00:24:03,280 --> 00:24:05,399
Speaker 1: of a hot topic and throwing the mocking hand and

423
00:24:05,400 --> 00:24:07,080
Speaker 1: they were like, oh no, sins gets you got the

424
00:24:07,119 --> 00:24:09,719
Speaker 1: ass out of here exactly. And it looks like they

425
00:24:09,760 --> 00:24:15,320
Speaker 1: love God, God in the Arian race. Let me get

426
00:24:16,359 --> 00:24:20,959
Speaker 1: but the most white woman white woman, right. Yeah, And

427
00:24:21,080 --> 00:24:25,119
Speaker 1: apparently ever since the Manifort and Cohen guilty please, the

428
00:24:25,280 --> 00:24:31,200
Speaker 1: energy at these events has been down. And really, yeah,

429
00:24:31,280 --> 00:24:33,920
Speaker 1: I thought they would it would never change. I thought

430
00:24:33,960 --> 00:24:38,440
Speaker 1: there was nothing that could say. I mean, it doesn't matter.

431
00:24:38,520 --> 00:24:41,919
Speaker 1: I'm still They're still able to fill the places. So

432
00:24:41,960 --> 00:24:44,200
Speaker 1: it's not like it are they filling it? Are they

433
00:24:44,200 --> 00:24:47,520
Speaker 1: calling central casting? Yeah? Away from the beginning, right, it

434
00:24:47,560 --> 00:24:51,080
Speaker 1: was always central right right, Well, at the beginning it

435
00:24:51,119 --> 00:24:54,840
Speaker 1: was central casting, but then it started being pretty authentically

436
00:24:54,880 --> 00:24:57,560
Speaker 1: a ground swell. But now it seems like it might

437
00:24:57,560 --> 00:25:01,359
Speaker 1: be going back to them having to you know, stick

438
00:25:01,640 --> 00:25:04,439
Speaker 1: staffers here and there to kind of pep things up

439
00:25:04,440 --> 00:25:06,720
Speaker 1: because everyone's like, oh he's talking about this ship again.

440
00:25:07,359 --> 00:25:10,920
Speaker 1: Um so I don't know, just you just I mean

441
00:25:10,960 --> 00:25:13,159
Speaker 1: the level of artifice and politics and generalist, I mean,

442
00:25:13,160 --> 00:25:15,720
Speaker 1: it's across the board. Yeah, as much to say it

443
00:25:15,840 --> 00:25:18,280
Speaker 1: is like like if you think that either of our

444
00:25:18,320 --> 00:25:22,040
Speaker 1: major political parties aren't like hand picking every single person

445
00:25:22,080 --> 00:25:24,959
Speaker 1: you see on camera as much as possible, and like

446
00:25:25,560 --> 00:25:27,800
Speaker 1: you know, like you you know, yeah you look at

447
00:25:28,160 --> 00:25:31,720
Speaker 1: um was the d and the convention last or I

448
00:25:31,760 --> 00:25:33,600
Speaker 1: say last year, but with Hilary, and you're like, it

449
00:25:33,680 --> 00:25:38,399
Speaker 1: is the most like overt diversity, like diverse. Here is

450
00:25:38,440 --> 00:25:41,439
Speaker 1: a woman, and here is and I you know, a

451
00:25:41,480 --> 00:25:46,879
Speaker 1: Middle Eastern American, and then someone we know there's like

452
00:25:46,920 --> 00:25:51,919
Speaker 1: a league of like acapella singers and wheelchairs. And you're like,

453
00:25:52,760 --> 00:25:55,199
Speaker 1: this is a better message. But it's just as like

454
00:25:55,280 --> 00:25:57,960
Speaker 1: if it's into some extent, feels just as artificial to

455
00:25:58,040 --> 00:26:00,800
Speaker 1: me because it's meant to manipulate us into thinking a

456
00:26:00,840 --> 00:26:04,159
Speaker 1: certain thing about the candidate. At the same time to yeah,

457
00:26:04,440 --> 00:26:08,240
Speaker 1: I guess it's just the idea that who you're replacing

458
00:26:08,280 --> 00:26:15,840
Speaker 1: them with their idea anybody in super it is this. Yeah,

459
00:26:15,880 --> 00:26:18,600
Speaker 1: there's something about that aesthetic. I mean you could almost

460
00:26:18,720 --> 00:26:23,480
Speaker 1: it's progressive for Republicans to have a dark haired woman

461
00:26:23,720 --> 00:26:28,120
Speaker 1: instead of a blonde haired woman. How big Kim Kardashians like, look,

462
00:26:28,119 --> 00:26:31,040
Speaker 1: the god damn Genners aren't going anywhere. Give us a Brunette.

463
00:26:31,080 --> 00:26:33,240
Speaker 1: Yeah we what's still like Betty and Veronica like levels

464
00:26:33,240 --> 00:26:38,720
Speaker 1: of divers exactly watch out now, Brunette. I think I

465
00:26:38,760 --> 00:26:43,359
Speaker 1: think Brunette, it's not the artifice that gets to me

466
00:26:43,400 --> 00:26:45,440
Speaker 1: because I agree with you, lucas it is. It does

467
00:26:45,520 --> 00:26:47,520
Speaker 1: cross party lines, and sometimes it is nice to see

468
00:26:47,560 --> 00:26:52,639
Speaker 1: yourself represented in this manner because this is obviously not

469
00:26:52,720 --> 00:26:54,600
Speaker 1: like acting, you know what I mean, That is just

470
00:26:54,600 --> 00:26:56,920
Speaker 1: seeings people on television. But what's interesting to me is

471
00:26:56,920 --> 00:26:58,560
Speaker 1: like how they go about it, Like I want this

472
00:26:58,600 --> 00:27:00,680
Speaker 1: ship to be behind the scenes. Don't know what the

473
00:27:00,720 --> 00:27:03,040
Speaker 1: podium was, Yeah, who was gonna be standing by truck

474
00:27:03,040 --> 00:27:05,720
Speaker 1: and y'all let this little his eyes looked badgy as

475
00:27:05,720 --> 00:27:07,520
Speaker 1: fun like they should have known. He was not supposed

476
00:27:07,520 --> 00:27:09,399
Speaker 1: to be standing behind the president. It's like the Wizard

477
00:27:09,400 --> 00:27:11,600
Speaker 1: of Oz. You're like, really, you put the curtain and

478
00:27:11,600 --> 00:27:15,600
Speaker 1: the controls directly next to the hologram, like I could

479
00:27:15,640 --> 00:27:19,040
Speaker 1: have had like a separate room whereby like at least

480
00:27:19,080 --> 00:27:21,560
Speaker 1: like Ed Harris was in the Moon watching Truman, you

481
00:27:21,600 --> 00:27:23,320
Speaker 1: know what I mean, Like he had a little bit

482
00:27:23,320 --> 00:27:24,840
Speaker 1: of distance. You were going to see him in the

483
00:27:24,880 --> 00:27:28,280
Speaker 1: same shot, and he wasn't like walking behind Jim Caribbean

484
00:27:28,359 --> 00:27:31,119
Speaker 1: like okay, uh, let's get another let's get another pretty

485
00:27:31,160 --> 00:27:33,320
Speaker 1: lady over here and then but you know, it was

486
00:27:33,440 --> 00:27:36,199
Speaker 1: a little bit more covert, right, and they weren't even

487
00:27:36,240 --> 00:27:39,000
Speaker 1: feels like they respect your intelligence a little bit more.

488
00:27:39,400 --> 00:27:42,080
Speaker 1: You want them to respect respect you with their lives,

489
00:27:42,200 --> 00:27:44,600
Speaker 1: and Trump doesn't give an His lives have become so

490
00:27:44,720 --> 00:27:46,840
Speaker 1: lazy and like these that's what I mean. I'm like,

491
00:27:46,880 --> 00:27:48,959
Speaker 1: come on, you can't even act like we're looking at

492
00:27:49,040 --> 00:27:52,560
Speaker 1: you right now, like y'all like suck it. He mastered

493
00:27:52,680 --> 00:27:55,840
Speaker 1: the superpower of being able to come up with a

494
00:27:55,920 --> 00:28:00,480
Speaker 1: lazy lie and believe it himself immediately. It's really beautiful.

495
00:28:00,840 --> 00:28:04,320
Speaker 1: Speaking of which, so he has now decided that the

496
00:28:04,359 --> 00:28:08,840
Speaker 1: New York Times op ed from somebody within the Trump

497
00:28:08,840 --> 00:28:12,399
Speaker 1: White House and also part of the resistance. According to

498
00:28:12,520 --> 00:28:16,359
Speaker 1: the author, that that is an attack on the country,

499
00:28:16,560 --> 00:28:19,600
Speaker 1: and he is saying that he wants Jeff Sessions in

500
00:28:19,640 --> 00:28:22,520
Speaker 1: the Department of Justice to investigate to find out who

501
00:28:22,560 --> 00:28:25,600
Speaker 1: did this. And I kind of want them to do

502
00:28:25,640 --> 00:28:28,000
Speaker 1: that too, because I think it would just be first

503
00:28:28,000 --> 00:28:29,760
Speaker 1: of all, I think the person who did this is

504
00:28:29,840 --> 00:28:32,960
Speaker 1: like not, you know, not the hero that they think

505
00:28:33,000 --> 00:28:36,040
Speaker 1: they are. And it to me felt like they were

506
00:28:36,040 --> 00:28:37,800
Speaker 1: trying to be like, look, don't hang us all at

507
00:28:37,800 --> 00:28:40,760
Speaker 1: the end of the day, exactly like the g don't

508
00:28:40,800 --> 00:28:42,680
Speaker 1: put us all in the A team when it all go,

509
00:28:43,120 --> 00:28:46,080
Speaker 1: When it all when when the consequences start coming, when

510
00:28:46,400 --> 00:28:48,560
Speaker 1: some of us were on we're secretly playing for the

511
00:28:48,560 --> 00:28:53,040
Speaker 1: other team. Right, that sounds like I think I'll say

512
00:28:53,040 --> 00:29:03,320
Speaker 1: who I am, but then wons I'm Spartacus, And I

513
00:29:03,360 --> 00:29:07,480
Speaker 1: mean it is also I think true that it's probably

514
00:29:08,280 --> 00:29:11,800
Speaker 1: some sort of national security threat for the reason that

515
00:29:11,840 --> 00:29:14,800
Speaker 1: Trump's attorneys were asking Muller not to interview him in

516
00:29:14,840 --> 00:29:17,360
Speaker 1: the sense that like that they were worried that the

517
00:29:17,440 --> 00:29:21,520
Speaker 1: transcript of Mueller talking to Trump would leak and other

518
00:29:22,120 --> 00:29:25,520
Speaker 1: leaders of foreign nations would know how dumb Trump is.

519
00:29:25,680 --> 00:29:29,920
Speaker 1: Like that was specifically what kept secret. Yeah, and so

520
00:29:30,680 --> 00:29:34,280
Speaker 1: the way that the op ed makes the White House

521
00:29:34,280 --> 00:29:38,200
Speaker 1: seemed dysfunctional and makes him seem just like a complete

522
00:29:38,360 --> 00:29:41,520
Speaker 1: you know, lame duck probably isn't good for our national security.

523
00:29:41,880 --> 00:29:43,840
Speaker 1: But it's not for the reason like he thinks it's

524
00:29:43,880 --> 00:29:47,000
Speaker 1: because there's like a a coup that's going to overthrow him,

525
00:29:47,000 --> 00:29:49,080
Speaker 1: And it's just like I think, you know, the opposite

526
00:29:49,120 --> 00:29:50,640
Speaker 1: of the inverse of that is an argument can be

527
00:29:50,640 --> 00:29:53,280
Speaker 1: made that it's better for national security because it's offering

528
00:29:53,320 --> 00:29:56,440
Speaker 1: the idea that there's a logical fail safe, right, some

529
00:29:56,640 --> 00:29:59,760
Speaker 1: there's actually someone at the steering wheel. Yeah right, yeah, No,

530
00:30:00,280 --> 00:30:02,680
Speaker 1: was like a message to the world too, to be like, hey,

531
00:30:03,040 --> 00:30:05,840
Speaker 1: don't think you're playing with a toddler totally. There are

532
00:30:05,880 --> 00:30:08,840
Speaker 1: adults here at the in the in the seats of

533
00:30:08,840 --> 00:30:11,360
Speaker 1: power and in the throne room, and just you know,

534
00:30:11,360 --> 00:30:13,760
Speaker 1: however you're you're treating us, however you think Donald Trump,

535
00:30:13,800 --> 00:30:18,040
Speaker 1: how moronic you think this this infant is who's currently president.

536
00:30:18,280 --> 00:30:20,720
Speaker 1: There are real adults there who still have decision making

537
00:30:20,720 --> 00:30:24,680
Speaker 1: power and can and can keep the agenda somewhat on track. Yeah.

538
00:30:24,720 --> 00:30:26,240
Speaker 1: But on the other hand, I just want to know

539
00:30:26,240 --> 00:30:29,680
Speaker 1: who it is, Lucas, so don't argue with me. I

540
00:30:29,680 --> 00:30:32,280
Speaker 1: mean right, nobody, nobody plays clue to keep the mystery

541
00:30:32,400 --> 00:30:35,160
Speaker 1: right exactly. I'm sure we'll find out sooner or later.

542
00:30:35,720 --> 00:30:39,480
Speaker 1: Let's move on to other Who who's your bet weird

543
00:30:39,560 --> 00:30:44,040
Speaker 1: billionaire even uh, I haven't spent too too much time

544
00:30:44,080 --> 00:30:47,040
Speaker 1: thinking about it. I my guests would be somebody who

545
00:30:47,160 --> 00:30:50,040
Speaker 1: we whose name I don't know. How wouldn't be surprised

546
00:30:50,040 --> 00:30:52,280
Speaker 1: if it's Kushner. Yeah, you know what I mean? That

547
00:30:52,320 --> 00:30:54,960
Speaker 1: guy is so that him and Ivanka are so desperate

548
00:30:54,960 --> 00:30:58,440
Speaker 1: to play both sides for their own advantage. Like something

549
00:30:58,480 --> 00:31:00,880
Speaker 1: something out of their camp would would shock me. But

550
00:31:00,920 --> 00:31:03,320
Speaker 1: I don't think they're smart enough or responsible enough to

551
00:31:03,360 --> 00:31:06,880
Speaker 1: have that view, right, Yeah, that would be really interesting

552
00:31:06,920 --> 00:31:12,080
Speaker 1: if it was. Alright, let's move on to big podcast news,

553
00:31:12,320 --> 00:31:16,240
Speaker 1: and we're bringing in super producer on a. Hosnie Ellen

554
00:31:16,360 --> 00:31:19,479
Speaker 1: Musk's appearance on the Joe Rogan podcast is rocking the

555
00:31:19,560 --> 00:31:25,480
Speaker 1: financial world because he got high on the Joe Rogan

556
00:31:25,560 --> 00:31:30,160
Speaker 1: podcast and yeah, you you watched a good bit of

557
00:31:30,200 --> 00:31:35,360
Speaker 1: this an a Yeah, man, you know it really made

558
00:31:35,360 --> 00:31:38,400
Speaker 1: me realize, like one, I don't understand science at all,

559
00:31:39,040 --> 00:31:41,800
Speaker 1: and two if you're a white man with a monotone voice,

560
00:31:41,840 --> 00:31:46,680
Speaker 1: like my attention span is immediately so sorry, I didn't

561
00:31:46,720 --> 00:31:53,280
Speaker 1: even know you were in here. Exists. Literally that was

562
00:31:53,320 --> 00:31:55,960
Speaker 1: a confidence though, to be so confident that people will

563
00:31:56,000 --> 00:31:58,920
Speaker 1: listen to you, that you put no infection in one day.

564
00:31:58,920 --> 00:32:01,200
Speaker 1: I'm as sound just like PR, like be's I'm interested.

565
00:32:04,480 --> 00:32:06,680
Speaker 1: It's real. We were saying. I was saying the other day,

566
00:32:06,680 --> 00:32:09,719
Speaker 1: like you could do a best of NPR like album,

567
00:32:09,800 --> 00:32:14,400
Speaker 1: just call it white Noise. Yeah that's real. Yeah, it's

568
00:32:14,400 --> 00:32:18,040
Speaker 1: an interesting episode where, um, you know, I don't listen

569
00:32:18,120 --> 00:32:20,080
Speaker 1: to the Joe Rogan podcast, but I always like, I've

570
00:32:20,080 --> 00:32:21,880
Speaker 1: seen clips of it. I have an idea of what

571
00:32:22,000 --> 00:32:24,120
Speaker 1: it's like. Joe Rogan, you know, likes to get deep.

572
00:32:24,240 --> 00:32:25,840
Speaker 1: You know, he likes to talk about the things. He

573
00:32:25,880 --> 00:32:28,640
Speaker 1: likes to talk about multiple universes. You know, he does

574
00:32:28,640 --> 00:32:31,240
Speaker 1: the thing. He likes dampt, likes drugs, he's open, um,

575
00:32:31,360 --> 00:32:34,920
Speaker 1: he likes mm A, just a kidding, the the buzz,

576
00:32:35,960 --> 00:32:45,000
Speaker 1: all the letters K. You know, he would probably defend

577
00:32:45,040 --> 00:32:50,640
Speaker 1: Louis c K. Who knows, but um, yeah, it's I

578
00:32:50,680 --> 00:32:54,719
Speaker 1: have never actually seen Elon Musk speak, and that I

579
00:32:54,760 --> 00:32:56,480
Speaker 1: think was the most interesting things. Like, I feel like

580
00:32:56,480 --> 00:32:58,600
Speaker 1: I wasn't even listening to him halftime, It's just watching

581
00:32:58,600 --> 00:33:01,400
Speaker 1: his facial expressions. I really recommend that you have the

582
00:33:01,440 --> 00:33:03,640
Speaker 1: sound I did. But the thing is like it was

583
00:33:03,640 --> 00:33:05,880
Speaker 1: all drowning out because he's like and you know when

584
00:33:05,920 --> 00:33:09,040
Speaker 1: the Linux corn tex, you know, it was a whole thing.

585
00:33:09,560 --> 00:33:13,560
Speaker 1: So they talk about how the world's a simulation we live,

586
00:33:13,680 --> 00:33:16,160
Speaker 1: you know, they discuss whether or not there's like multiple

587
00:33:16,280 --> 00:33:19,720
Speaker 1: universes that were just you know, not seeing and then um,

588
00:33:19,760 --> 00:33:22,240
Speaker 1: of course they opened the show while smoking weed, which

589
00:33:22,680 --> 00:33:25,640
Speaker 1: Elon Musk asks, it's legal, isn't it? At first, he

590
00:33:25,640 --> 00:33:28,880
Speaker 1: doesn't even know if the joint is a cigar or

591
00:33:28,960 --> 00:33:32,720
Speaker 1: a joint. He's just like, yeah, it was pretty fatty.

592
00:33:32,800 --> 00:33:34,400
Speaker 1: Sounds like a blunt. It sounds like it was a

593
00:33:34,400 --> 00:33:37,600
Speaker 1: fatty yeah, and he like really squints his eyes to

594
00:33:37,640 --> 00:33:40,960
Speaker 1: look at it, be like, oh, Mari marijuana. You can

595
00:33:40,960 --> 00:33:45,440
Speaker 1: tell He's like, I'm I'm Elona, I'm cool, Lettuce. My

596
00:33:45,480 --> 00:33:52,040
Speaker 1: impression of my impression of his appearance was takes one

597
00:33:52,080 --> 00:33:56,480
Speaker 1: hit off a joint. And then it's like Instagram's a facility.

598
00:33:56,960 --> 00:33:59,720
Speaker 1: He does make a very common point that Instagram's a facade,

599
00:33:59,760 --> 00:34:02,520
Speaker 1: that we're not all make it see even it's like,

600
00:34:07,680 --> 00:34:10,000
Speaker 1: but we have some clips from it. There's one where

601
00:34:10,120 --> 00:34:13,719
Speaker 1: he is talking about us merging with AI because that's

602
00:34:13,719 --> 00:34:16,160
Speaker 1: our future. We have no choice. If you can't beat them,

603
00:34:16,239 --> 00:34:20,000
Speaker 1: join them. So I talked to a neuroscientist recently, and

604
00:34:20,120 --> 00:34:23,959
Speaker 1: who's who's talking about neurological enhancements and how they're they're inevitable. Yeah,

605
00:34:23,960 --> 00:34:26,719
Speaker 1: we're right right around the corner. Yeah, and then and

606
00:34:26,760 --> 00:34:29,080
Speaker 1: then it will be classes because the only certain people

607
00:34:29,080 --> 00:34:31,800
Speaker 1: will be able to afford them, Right, I can afford

608
00:34:31,800 --> 00:34:33,880
Speaker 1: them brain? Oh yeah, I'm gonna be rich enough to

609
00:34:33,920 --> 00:34:38,360
Speaker 1: have me the most souped up brain, right, okay, and

610
00:34:37,160 --> 00:34:43,640
Speaker 1: that like a Tokyo drift of brains, yes, brain, and

611
00:34:43,680 --> 00:34:47,800
Speaker 1: then that will be another there, that'll be yet another

612
00:34:47,880 --> 00:34:51,400
Speaker 1: advantage that rich people used to keep down poor people. Right,

613
00:34:51,400 --> 00:34:53,879
Speaker 1: I planned to be rich and also oppressing. By that time,

614
00:34:54,600 --> 00:34:58,440
Speaker 1: my brain will have a new paint job. All right,

615
00:34:58,520 --> 00:35:01,680
Speaker 1: let's listen to Ellen says, and this will be like

616
00:35:01,760 --> 00:35:04,200
Speaker 1: a game where we all try to see how long

617
00:35:04,239 --> 00:35:06,879
Speaker 1: we can stay awake during this. Okay, do you think

618
00:35:06,960 --> 00:35:10,720
Speaker 1: that it's likely that we will merge somehow or another

619
00:35:11,200 --> 00:35:14,480
Speaker 1: with this sort of technology and it will augment what

620
00:35:14,560 --> 00:35:18,160
Speaker 1: we are now or do you think it will replace us? Well,

621
00:35:18,280 --> 00:35:23,080
Speaker 1: that's the scenario. The emerged scenario with AI is the

622
00:35:23,120 --> 00:35:31,279
Speaker 1: one that seems like probably the best from inside to

623
00:35:31,640 --> 00:35:40,040
Speaker 1: join it. That's yeah, you know, uh huh okay, so cool.

624
00:35:40,560 --> 00:35:43,880
Speaker 1: What else do we have? And then we have for

625
00:35:45,120 --> 00:35:48,319
Speaker 1: He goes on to talk about how we basically our

626
00:35:48,360 --> 00:35:50,400
Speaker 1: brains are too slow and we really need to step

627
00:35:50,400 --> 00:35:54,080
Speaker 1: it up to become you know, which is why we

628
00:35:54,160 --> 00:35:58,360
Speaker 1: just try. Yeah, he says, we don't have the bandwidth

629
00:35:58,360 --> 00:36:00,400
Speaker 1: to just continue to compete with a eye, so we

630
00:36:00,480 --> 00:36:02,080
Speaker 1: must become that and so that's what he goes on

631
00:36:02,120 --> 00:36:05,640
Speaker 1: to say. And then here's another clip where he talks

632
00:36:05,680 --> 00:36:09,480
Speaker 1: about different new things that the Tesla can do that

633
00:36:09,520 --> 00:36:13,040
Speaker 1: we weren't aware of, which is just unnecessary to breakfast,

634
00:36:13,840 --> 00:36:18,759
Speaker 1: make your toast vacuum no ship here it comes. What

635
00:36:18,840 --> 00:36:21,920
Speaker 1: could it do that that I need to know about?

636
00:36:22,840 --> 00:36:24,680
Speaker 1: I mean, the Model X can do this like ballet

637
00:36:24,760 --> 00:36:27,759
Speaker 1: thing to try and Sabarian orchestra that's pretty cool where

638
00:36:27,760 --> 00:36:34,600
Speaker 1: it dances. Yes, legitimately when he moves around to why

639
00:36:34,600 --> 00:36:36,839
Speaker 1: would you program that? It must be difficult to work

640
00:36:36,840 --> 00:36:39,879
Speaker 1: for Elon Musk because he's like, make it dance. This

641
00:36:39,920 --> 00:36:45,879
Speaker 1: is going to make makes the Tesla guys, I guess

642
00:36:45,880 --> 00:36:50,520
Speaker 1: we gotta make the cars dance now. Fuck us. Before

643
00:36:50,520 --> 00:36:53,880
Speaker 1: you thought men just loved women and cars, but really

644
00:36:54,000 --> 00:36:57,840
Speaker 1: they just want the car to a woman. Lord Musk

645
00:36:57,880 --> 00:37:01,040
Speaker 1: has demanded we make the cars. It's the ballet of

646
00:37:01,080 --> 00:37:05,040
Speaker 1: the night. Okay, what's that shitty sport where you make

647
00:37:05,080 --> 00:37:10,400
Speaker 1: courses dance dressage dressage? Yeah, you had that way to

648
00:37:14,640 --> 00:37:18,080
Speaker 1: my band with his crazy I'm over here with the

649
00:37:18,080 --> 00:37:28,480
Speaker 1: spectrum WiFi brain. Yeah. Anyways, he's trying to usher in

650
00:37:28,560 --> 00:37:32,680
Speaker 1: the next era of shitty rich sports with card dressage.

651
00:37:32,800 --> 00:37:34,640
Speaker 1: So if you have two and a half hours to

652
00:37:34,719 --> 00:37:37,680
Speaker 1: listen to Elon Musk and drown on it is so

653
00:37:37,800 --> 00:37:39,719
Speaker 1: absurd that I was just listening because I was like,

654
00:37:39,760 --> 00:37:42,000
Speaker 1: what is he going to say next about science? I

655
00:37:42,000 --> 00:37:45,040
Speaker 1: guess like he's so important that you're always like, no

656
00:37:45,080 --> 00:37:47,640
Speaker 1: matter how bad the conversation is, you're like, well, we

657
00:37:47,680 --> 00:37:49,799
Speaker 1: have to go. We have to go as long as

658
00:37:49,840 --> 00:37:55,360
Speaker 1: he lets us, because he's incredibly influential, right, fucking power.

659
00:37:56,880 --> 00:38:00,239
Speaker 1: Well he Elon decides when an interview ends, right, because

660
00:38:00,239 --> 00:38:02,280
Speaker 1: you're just like, funk. I mean, maybe he'll say something.

661
00:38:02,640 --> 00:38:04,920
Speaker 1: I think he should change the world. I think he's

662
00:38:04,920 --> 00:38:07,160
Speaker 1: trolling himself a little bit, and I think he's lost

663
00:38:07,200 --> 00:38:09,680
Speaker 1: a little bit. There's also a great moment where he

664
00:38:09,880 --> 00:38:12,400
Speaker 1: where Joe Rogan shows him a Samurai sword and he

665
00:38:12,480 --> 00:38:15,680
Speaker 1: just observes it for five minutes and his face is hilarious.

666
00:38:15,680 --> 00:38:17,840
Speaker 1: So I just recommend going to look just for that

667
00:38:17,880 --> 00:38:21,799
Speaker 1: because he's just like, I mean, that's sucking great though,

668
00:38:21,880 --> 00:38:24,920
Speaker 1: Like ur is like coming, I'm going to show him

669
00:38:24,960 --> 00:38:30,719
Speaker 1: by Samurai's like eight year old boy, move, check out this.

670
00:38:30,920 --> 00:38:36,719
Speaker 1: It's a real sword, you know, samurai. Huh yeah, Like,

671
00:38:36,719 --> 00:38:41,839
Speaker 1: but Kenned dance starts dancing with the sword, he puts

672
00:38:41,840 --> 00:38:46,000
Speaker 1: it in the celas and anna. It should be pointed

673
00:38:46,080 --> 00:38:50,160
Speaker 1: out that it doesn't look like he knows how to

674
00:38:50,200 --> 00:38:53,520
Speaker 1: smoke weed or that he inhaled it. No, he definitely

675
00:38:53,520 --> 00:38:55,880
Speaker 1: did not inhale the actual weed. You see him hit

676
00:38:55,920 --> 00:38:57,799
Speaker 1: it and the smoke comes out immediately. If you have

677
00:38:57,840 --> 00:38:59,560
Speaker 1: ever smoked weed, you know you have to inhale the

678
00:38:59,560 --> 00:39:03,120
Speaker 1: weed into your lungs to destroy them. And he has

679
00:39:03,120 --> 00:39:05,800
Speaker 1: said in the past that he's not a marijuana smoker.

680
00:39:06,000 --> 00:39:07,840
Speaker 1: You can tell. He's just very clear. He's trying to

681
00:39:07,880 --> 00:39:12,040
Speaker 1: be cool with old Joe Roguin. So overall, Tesla stock

682
00:39:12,120 --> 00:39:15,440
Speaker 1: has been down in the crest month by quite a bit.

683
00:39:15,840 --> 00:39:20,440
Speaker 1: But uz but they dance to know. So in the

684
00:39:20,440 --> 00:39:24,640
Speaker 1: past month it's down from three seventy when it started,

685
00:39:24,880 --> 00:39:28,200
Speaker 1: and at the beginning of the day it was at

686
00:39:28,239 --> 00:39:33,200
Speaker 1: two eighty. After this podcast went public, though, it dropped

687
00:39:33,320 --> 00:39:36,799
Speaker 1: to to sixty, like just straight down. People are like, oh,

688
00:39:36,840 --> 00:39:38,919
Speaker 1: this guy's a fucking idiot. Yeah, I'm sure if you

689
00:39:38,920 --> 00:39:41,720
Speaker 1: you're thinking of like if you're thinking of a giant

690
00:39:41,800 --> 00:39:43,960
Speaker 1: company and you're thinking of like money. And then you

691
00:39:44,000 --> 00:39:47,080
Speaker 1: see the head of the company smoking weed with Joe Rogan.

692
00:39:47,280 --> 00:39:50,479
Speaker 1: Clearly you're gonna be like, Okay, where is this going?

693
00:39:50,560 --> 00:39:52,799
Speaker 1: You know, that's the thing. They're all like that, all

694
00:39:52,840 --> 00:39:55,120
Speaker 1: these things. They're all especially the tech bros. They the

695
00:39:55,520 --> 00:39:58,600
Speaker 1: past week, they were all out of Burning Man together.

696
00:39:59,160 --> 00:40:01,960
Speaker 1: But I'm not seeing dressed as extras from the fifth element.

697
00:40:04,239 --> 00:40:07,520
Speaker 1: You know, this is who runs the world, and necessarily

698
00:40:07,560 --> 00:40:12,480
Speaker 1: intelligent people. It's opportunists, fortunate people. They have the brains

699
00:40:12,520 --> 00:40:14,759
Speaker 1: and enough to be like, I'm not gonna, you know,

700
00:40:14,960 --> 00:40:17,560
Speaker 1: broadcast this because if we don't, you can do whatever

701
00:40:17,600 --> 00:40:19,400
Speaker 1: you want. I just don't want to see you smoking

702
00:40:19,400 --> 00:40:21,920
Speaker 1: weed with Joe Rogan and then being like okay. So

703
00:40:22,560 --> 00:40:24,520
Speaker 1: you know, we live in this age with like immediate

704
00:40:24,520 --> 00:40:27,480
Speaker 1: availability and transparency, like you know, you get the Kanye's

705
00:40:27,480 --> 00:40:29,760
Speaker 1: of the world, the Donald Trump's the world who market

706
00:40:29,880 --> 00:40:33,040
Speaker 1: their brand off of off of availability and like a

707
00:40:33,160 --> 00:40:38,320
Speaker 1: ubiquitous celebrity. True, but old white men who's selling stock

708
00:40:38,400 --> 00:40:43,400
Speaker 1: are like where is your suit? Commercials too much for

709
00:40:43,480 --> 00:40:45,279
Speaker 1: the But you know, I just think that, like I

710
00:40:45,320 --> 00:40:47,040
Speaker 1: think a lot of people are being tricked into thinking

711
00:40:47,160 --> 00:40:50,319
Speaker 1: that it's always good for your brand to be like

712
00:40:50,440 --> 00:40:53,960
Speaker 1: as as visible as and it's like and let the

713
00:40:54,040 --> 00:40:56,920
Speaker 1: chaos be visible too, because that's somehow compelling in and

714
00:40:56,960 --> 00:41:00,239
Speaker 1: of itself. People's imaginations, especially when you're successful, can can

715
00:41:00,360 --> 00:41:08,360
Speaker 1: sometimes be to your benefit. Yeah yeah, let me imagine.

716
00:41:08,560 --> 00:41:10,720
Speaker 1: Let me imagine that you're just in a suit everywhere

717
00:41:10,719 --> 00:41:13,319
Speaker 1: you go. I think the thing Kanye did so well

718
00:41:13,360 --> 00:41:15,640
Speaker 1: for a long time was like being able to step

719
00:41:15,680 --> 00:41:19,120
Speaker 1: outside of himself and like see himself like and like

720
00:41:19,200 --> 00:41:22,120
Speaker 1: sort of do things with that in mind. And he

721
00:41:22,160 --> 00:41:24,920
Speaker 1: lost that ability recently. And I think Trump has a

722
00:41:24,920 --> 00:41:27,200
Speaker 1: pretty good sense of like what his appeal is to

723
00:41:27,360 --> 00:41:29,319
Speaker 1: people and is able to like work with that and

724
00:41:29,320 --> 00:41:32,800
Speaker 1: manipulate it. And I think that is what Elon Musk

725
00:41:32,920 --> 00:41:36,760
Speaker 1: just doesn't have. He like doesn't know what we want

726
00:41:36,800 --> 00:41:38,840
Speaker 1: from him, or what people want from him, and what

727
00:41:39,000 --> 00:41:41,879
Speaker 1: his like the people who run his company want from him.

728
00:41:41,920 --> 00:41:44,440
Speaker 1: He's just like trying. He's just like, no, I can

729
00:41:44,440 --> 00:41:49,280
Speaker 1: do anything. It's all a simulation. Uh, you know, nothing matters.

730
00:41:49,719 --> 00:41:54,759
Speaker 1: He also was raised by you know, multi millionaires and

731
00:41:55,160 --> 00:42:00,239
Speaker 1: carried around and see a child of great fortune. Yeah,

732
00:42:00,280 --> 00:42:04,080
Speaker 1: he walked around with emeralds in his pockets. That's a

733
00:42:04,120 --> 00:42:06,360
Speaker 1: true story. He was walking around New York City with

734
00:42:06,400 --> 00:42:10,400
Speaker 1: emeralds in his pocket, so like he you know, you

735
00:42:10,440 --> 00:42:13,200
Speaker 1: don't have loose emeralds in your pockets. His parents owned

736
00:42:13,200 --> 00:42:16,840
Speaker 1: like an emerald mine mine, yeah, which is only the

737
00:42:16,960 --> 00:42:25,719
Speaker 1: richest of people, emerald mine because nothing else. I'm glad

738
00:42:25,760 --> 00:42:31,040
Speaker 1: I came for that. That's amazing. His dad just had

739
00:42:31,120 --> 00:42:36,560
Speaker 1: a child with Ellen's step sister, so what he was

740
00:42:36,600 --> 00:42:42,280
Speaker 1: there from her birth to like forward, it's not his daughter,

741
00:42:42,440 --> 00:42:51,320
Speaker 1: but just had a child with her. Yeah, wood so cool.

742
00:42:53,480 --> 00:42:58,799
Speaker 1: And additions to the Webster's dictionary. So they added some

743
00:42:58,840 --> 00:43:03,000
Speaker 1: food based words to the Merriam Webster Dictionary. Just just

744
00:43:03,080 --> 00:43:06,239
Speaker 1: the dictionary is trying to keep up with with the millennials.

745
00:43:06,400 --> 00:43:10,800
Speaker 1: It seems like it is the most millennial dictionary. They're active.

746
00:43:11,040 --> 00:43:18,719
Speaker 1: The added words like guawk hungry, which funck off. That's

747
00:43:18,719 --> 00:43:22,239
Speaker 1: a word that's absolutely a word, you know, I do.

748
00:43:22,480 --> 00:43:25,239
Speaker 1: But portmanteau is a word for a reason, Yeah, I

749
00:43:25,280 --> 00:43:32,920
Speaker 1: guess so. Jung is good avo What is that related?

750
00:43:33,640 --> 00:43:37,239
Speaker 1: What our abbreviations considered their own words? You can spell

751
00:43:37,280 --> 00:43:38,960
Speaker 1: like if you're going to really go deep into scrabble

752
00:43:39,000 --> 00:43:41,080
Speaker 1: and things like that. The spelling of letters or words

753
00:43:41,560 --> 00:43:45,920
Speaker 1: like yeah and things like that. You know, there's sounds,

754
00:43:45,920 --> 00:43:49,600
Speaker 1: there's a I think anything that is a is a

755
00:43:49,640 --> 00:43:54,160
Speaker 1: discreet object that conveys a meaning, right, can be sort

756
00:43:54,160 --> 00:43:57,520
Speaker 1: of like becomes a word if it becomes culturally used enough. Right,

757
00:43:57,560 --> 00:44:01,400
Speaker 1: it's all about usage. Well, I do one appreciate that

758
00:44:01,480 --> 00:44:04,520
Speaker 1: because it started to incorporate way more like a V

759
00:44:04,800 --> 00:44:07,840
Speaker 1: words V words, which is the African American vernacular English,

760
00:44:08,080 --> 00:44:11,320
Speaker 1: which black people have always gotten shipped for for speaking differently,

761
00:44:11,680 --> 00:44:13,480
Speaker 1: like oh, ain't ain't a word, And it's like the

762
00:44:13,560 --> 00:44:16,120
Speaker 1: King's English was made up. Everything's made up, so like

763
00:44:16,600 --> 00:44:18,080
Speaker 1: you know what I mean. So I do appreciate Merriams

764
00:44:18,320 --> 00:44:21,839
Speaker 1: for incorporating a lot of English that has been used

765
00:44:21,880 --> 00:44:25,640
Speaker 1: widely by different races and cultures but wasn't necessarily acceptable

766
00:44:25,960 --> 00:44:31,160
Speaker 1: by white America. So keep going, Miriam Webson, let me

767
00:44:31,200 --> 00:44:36,680
Speaker 1: get l O L isn't there? Yeah? I think it

768
00:44:36,840 --> 00:44:39,600
Speaker 1: like if you look at like German as a language, right,

769
00:44:39,600 --> 00:44:41,520
Speaker 1: it's usually it's so many of the words are the

770
00:44:41,560 --> 00:44:43,960
Speaker 1: combinations of other words and things that you just sort

771
00:44:43,960 --> 00:44:46,040
Speaker 1: of endlessly put together, which is like a really cool thing.

772
00:44:46,080 --> 00:44:50,120
Speaker 1: But it's like baffling is very millennial. Though I think angry,

773
00:44:50,400 --> 00:44:53,200
Speaker 1: I absolutely think it should be. The next additions to

774
00:44:53,280 --> 00:44:59,720
Speaker 1: Miriam was de Funck f you qu I will say

775
00:44:59,760 --> 00:45:02,240
Speaker 1: that I was wrong about hungry, because that is something

776
00:45:02,280 --> 00:45:05,239
Speaker 1: that I'm the older I get, the more I realized

777
00:45:05,239 --> 00:45:08,520
Speaker 1: that I just wasn't aware of my body enough to

778
00:45:08,520 --> 00:45:10,200
Speaker 1: realize that that's why I was in a bad mood.

779
00:45:10,239 --> 00:45:14,120
Speaker 1: It was like, Oh, I haven't eaten like since last night. Uh,

780
00:45:14,160 --> 00:45:16,480
Speaker 1: And yeah, that's a that's a real thing that people

781
00:45:16,520 --> 00:45:18,600
Speaker 1: deal with that we should be probably more aware of.

782
00:45:18,960 --> 00:45:21,640
Speaker 1: On the other end of the spectrum, some of the

783
00:45:21,840 --> 00:45:27,560
Speaker 1: darker additions are tent city and food bank hyphenated or

784
00:45:28,239 --> 00:45:30,920
Speaker 1: it must be hyphenated because you can't put a two word.

785
00:45:31,239 --> 00:45:33,680
Speaker 1: The way it's written on our dock is just as

786
00:45:33,719 --> 00:45:36,680
Speaker 1: two words, but they wouldn't put two words separately, and

787
00:45:36,920 --> 00:45:40,920
Speaker 1: so it must be. You know, That's something that even

788
00:45:40,960 --> 00:45:44,880
Speaker 1: as the conservative media and even a lot of the

789
00:45:44,880 --> 00:45:48,560
Speaker 1: mainstream media is emphasizing that the economy is booming and

790
00:45:48,640 --> 00:45:51,520
Speaker 1: consumer confidence is way up, other things that are way

791
00:45:51,560 --> 00:45:54,600
Speaker 1: up are like people going to visits to food banks

792
00:45:54,600 --> 00:45:57,879
Speaker 1: and soup kitchens and stuff like that. Like that sort

793
00:45:57,920 --> 00:46:01,600
Speaker 1: of thing is way up. So as they're these economic

794
00:46:01,680 --> 00:46:05,120
Speaker 1: indicators that show, you know, rich people are making more

795
00:46:05,160 --> 00:46:08,240
Speaker 1: and more money, poverty is getting worse somewhere in the country.

796
00:46:08,280 --> 00:46:10,279
Speaker 1: I mean, it's all about it's like metrics, right, But

797
00:46:10,360 --> 00:46:12,799
Speaker 1: like if you measure GDP or something like that, you're like, oh,

798
00:46:12,920 --> 00:46:15,640
Speaker 1: things are great, right if you measure overall expansion. But

799
00:46:15,640 --> 00:46:17,759
Speaker 1: it's when you start breaking it down into demographics that

800
00:46:17,800 --> 00:46:19,560
Speaker 1: you're like, oh, most of this money is only going

801
00:46:19,560 --> 00:46:21,919
Speaker 1: to a few people. Exactly. The economy is actually doing

802
00:46:22,080 --> 00:46:25,120
Speaker 1: terribly for most people. And we're going to have the

803
00:46:25,160 --> 00:46:28,719
Speaker 1: words to describe it because food bank and the other

804
00:46:28,760 --> 00:46:32,000
Speaker 1: on food bank, food bank, intents city. Yeah, Like, the

805
00:46:32,040 --> 00:46:36,319
Speaker 1: words just keep getting darker and darker. There's a there

806
00:46:36,440 --> 00:46:39,920
Speaker 1: is a My favorite word that exists in any language

807
00:46:40,080 --> 00:46:44,239
Speaker 1: is this Russian word that means man cow. And it

808
00:46:44,360 --> 00:46:49,520
Speaker 1: was invented to describe a person that you would be

809
00:46:49,600 --> 00:46:52,319
Speaker 1: in the gulags with and you would let them like

810
00:46:52,440 --> 00:46:55,120
Speaker 1: eat your food to fatten them up, and then escape

811
00:46:55,520 --> 00:46:58,200
Speaker 1: the gas with them and then eat them as you

812
00:46:58,280 --> 00:47:01,960
Speaker 1: crossed the tundra. And that's why they called but they

813
00:47:02,000 --> 00:47:06,200
Speaker 1: had a fucking word for that is what a new

814
00:47:06,200 --> 00:47:12,000
Speaker 1: meaning for a snack like a snack. All right, We're

815
00:47:12,000 --> 00:47:14,520
Speaker 1: gonna take a quick break and then we'll talk more

816
00:47:14,719 --> 00:47:28,080
Speaker 1: Russian food when we come back. And we're back, and

817
00:47:29,000 --> 00:47:32,480
Speaker 1: a couple updates from producer Nick Stump. Over the break,

818
00:47:33,040 --> 00:47:36,640
Speaker 1: Jared Kushner jar Bear as I call him, was trapped

819
00:47:36,640 --> 00:47:38,839
Speaker 1: outside of a door that he couldn't get into and

820
00:47:38,960 --> 00:47:43,080
Speaker 1: surrounded by reporters who were shouting at him questions about

821
00:47:43,080 --> 00:47:46,080
Speaker 1: whether he wrote the op ed and he refused to answer,

822
00:47:46,400 --> 00:47:51,480
Speaker 1: so Boom might have called it. And the other reason

823
00:47:51,560 --> 00:47:54,800
Speaker 1: this is kind of a big deal is because Kushner

824
00:47:55,120 --> 00:47:57,640
Speaker 1: is one of the very few people who has not

825
00:47:57,719 --> 00:48:00,400
Speaker 1: come out and released a statement saying I did not

826
00:48:00,600 --> 00:48:03,239
Speaker 1: write that op ed, so it seems like he might

827
00:48:03,280 --> 00:48:06,080
Speaker 1: have something to hide. And also a super producer, Nick

828
00:48:06,120 --> 00:48:09,359
Speaker 1: stunp does not believe that abo is a word come

829
00:48:09,440 --> 00:48:12,480
Speaker 1: to silver like man. Yeah, they will not be able

830
00:48:12,520 --> 00:48:17,879
Speaker 1: to communicate eventually. We're just gonna stop saying always something

831
00:48:18,239 --> 00:48:25,480
Speaker 1: went to the That's like a full sentence and I

832
00:48:25,480 --> 00:48:30,880
Speaker 1: get extra all right, as I was saying, we're moving

833
00:48:30,880 --> 00:48:33,960
Speaker 1: on to more Russian food talk from man Caw to

834
00:48:34,600 --> 00:48:40,400
Speaker 1: Domino's Pizza. Uh, they're trying to make it big in Russia,

835
00:48:40,560 --> 00:48:44,279
Speaker 1: and they have decided to give away one hundred free

836
00:48:44,280 --> 00:48:48,319
Speaker 1: pizzas to any Russian who gets a tattoo. That's one

837
00:48:48,360 --> 00:48:52,920
Speaker 1: hundred free pizzas a year for a century, which is

838
00:48:54,000 --> 00:48:56,919
Speaker 1: two hundred thousand dollars worth of pizza over the course

839
00:48:56,920 --> 00:49:00,279
Speaker 1: of a century. Um, how might be Just do you

840
00:49:00,280 --> 00:49:02,680
Speaker 1: think you eat a year? Oh my god, I don't

841
00:49:02,680 --> 00:49:05,200
Speaker 1: want to. I'm the wrong personally break it down by

842
00:49:05,200 --> 00:49:06,759
Speaker 1: week if you're like, in an average week, how many

843
00:49:07,000 --> 00:49:11,880
Speaker 1: Actually that's true. When I was younger, I probably ate

844
00:49:12,560 --> 00:49:16,799
Speaker 1: like pizza every day of my life. So yeah, you

845
00:49:16,880 --> 00:49:19,840
Speaker 1: know a couple I'd say I probably not two pizzas

846
00:49:19,840 --> 00:49:22,120
Speaker 1: a week. No, No, probably not two pizzas a week.

847
00:49:22,239 --> 00:49:24,840
Speaker 1: You're right, Yeah, that's a lot of pizza. It is

848
00:49:24,840 --> 00:49:27,160
Speaker 1: a lot of pizza. Yeah, but it's also dominad dominos.

849
00:49:27,280 --> 00:49:29,760
Speaker 1: But is it like a small like nine eight whatever,

850
00:49:29,760 --> 00:49:32,440
Speaker 1: the small pizzas, you know, those personal pizzas that used

851
00:49:32,480 --> 00:49:34,960
Speaker 1: to Yeah, I feel like like you get for like

852
00:49:34,960 --> 00:49:36,600
Speaker 1: book it. Did you guys ever have booket that was

853
00:49:36,640 --> 00:49:41,040
Speaker 1: Pizza Hunt in Chica Pizza Hut. Yeah, yeah, six hundred

854
00:49:41,040 --> 00:49:43,160
Speaker 1: pages or something like that, or six hundred minutes. I

855
00:49:43,160 --> 00:49:46,480
Speaker 1: don't know I can't remember six and the like a

856
00:49:46,520 --> 00:49:49,480
Speaker 1: sticker and you give you a free like personal pan pizza.

857
00:49:49,520 --> 00:49:53,359
Speaker 1: That ship was amazed. We had that in Texas every Friday.

858
00:49:53,400 --> 00:49:55,719
Speaker 1: We had that in Texas. I mean dominods is Bay.

859
00:49:55,719 --> 00:49:57,640
Speaker 1: I've talked about Dominoes on the show before, Like that

860
00:49:57,760 --> 00:49:59,880
Speaker 1: was texting me every day. I'm cheating on Dominoes right

861
00:49:59,920 --> 00:50:02,960
Speaker 1: now out with Celery. It's made out of Yes, it's

862
00:50:03,000 --> 00:50:05,320
Speaker 1: not a good relationship, but I gotta do what I

863
00:50:05,320 --> 00:50:09,680
Speaker 1: gotta do. I gotta lose weight. But the Dominoes text me,

864
00:50:09,719 --> 00:50:11,560
Speaker 1: I'm like, don't, don't text me no more. I told

865
00:50:11,600 --> 00:50:14,520
Speaker 1: you not to contact me on this line. But I

866
00:50:14,520 --> 00:50:18,600
Speaker 1: would get a tattoo for if it was for you

867
00:50:18,600 --> 00:50:20,920
Speaker 1: could get what everyone like. Some of these are very creative,

868
00:50:21,080 --> 00:50:23,000
Speaker 1: Like it's like a Dominoes and then there's like a

869
00:50:23,080 --> 00:50:25,600
Speaker 1: claw and then what did it say, like forever slave

870
00:50:25,719 --> 00:50:29,360
Speaker 1: to free, be slave to free. That's the wrong country

871
00:50:29,400 --> 00:50:32,680
Speaker 1: to do that, and because Russians will do anything, gives

872
00:50:32,800 --> 00:50:36,120
Speaker 1: zero fux. But that's two for a hundred free pieces

873
00:50:36,160 --> 00:50:39,359
Speaker 1: a year for a century. So they immediately called this off,

874
00:50:39,400 --> 00:50:43,319
Speaker 1: by the way, because because they were deluged. Sure, this

875
00:50:43,400 --> 00:50:45,359
Speaker 1: is too good a deal for Russian people who don't

876
00:50:45,400 --> 00:50:49,279
Speaker 1: give a funk, which is about of the Russian population.

877
00:50:49,360 --> 00:50:52,640
Speaker 1: That's a terrific test. Absolutely, it's a terrible idea. And

878
00:50:52,719 --> 00:50:56,440
Speaker 1: Russians are famous for their crazy tattoos. My favorite genre

879
00:50:56,680 --> 00:50:59,719
Speaker 1: of YouTube videos is just Russians not giving a funk

880
00:50:59,760 --> 00:51:02,759
Speaker 1: about like crazy stuff, like that video of the dude

881
00:51:02,840 --> 00:51:06,759
Speaker 1: driving and the meteor is coming towards the plane and

882
00:51:06,800 --> 00:51:09,799
Speaker 1: he just is like driving, changes the channel to like

883
00:51:09,880 --> 00:51:12,120
Speaker 1: listen to it like a different song, but like doesn't

884
00:51:12,120 --> 00:51:15,560
Speaker 1: do anything, doesn't even But what would you do? What

885
00:51:15,600 --> 00:51:17,279
Speaker 1: would you? What would you what would be like? Oh,

886
00:51:17,680 --> 00:51:20,320
Speaker 1: thank god he ran away from his car, right, I

887
00:51:20,360 --> 00:51:24,360
Speaker 1: don't think the meteor would have hit him though. Yeah,

888
00:51:24,400 --> 00:51:25,800
Speaker 1: well at a certain point you gotta be like what

889
00:51:25,840 --> 00:51:29,440
Speaker 1: else you know, it's all the meteor's head. That's like

890
00:51:29,560 --> 00:51:33,560
Speaker 1: the Russian mentality. Sure, absolutely, Well they've been through the

891
00:51:33,640 --> 00:51:37,120
Speaker 1: ship they have that country has had a crazy censure

892
00:51:37,400 --> 00:51:42,279
Speaker 1: bacoming little water. Yeah they yeah, they all just had

893
00:51:42,320 --> 00:51:44,680
Speaker 1: a little water and went down to the tattoo parlor.

894
00:51:45,000 --> 00:51:47,200
Speaker 1: It was like, yeah, suck it up, give me the

895
00:51:47,239 --> 00:51:52,239
Speaker 1: dumb in those Yeah, I would do it for you,

896
00:51:52,520 --> 00:51:54,680
Speaker 1: like if I got freedominous for the rest of my life.

897
00:51:54,719 --> 00:51:56,919
Speaker 1: I might I have no tattoos, but I might get

898
00:51:56,920 --> 00:51:59,880
Speaker 1: a dumbness because you can put it anywhere, right, Yeah,

899
00:52:00,520 --> 00:52:05,239
Speaker 1: you can look cute little angle joint. That's for bay.

900
00:52:05,480 --> 00:52:10,120
Speaker 1: And yeah, it's an investment. It's an investment. So there's

901
00:52:10,200 --> 00:52:13,360
Speaker 1: the story that's been kind of percolating. We've revisited a

902
00:52:13,400 --> 00:52:18,120
Speaker 1: couple of times now on the podcast about diplomats in

903
00:52:18,880 --> 00:52:24,760
Speaker 1: Cuba and in China who are reporting having like basically

904
00:52:24,840 --> 00:52:27,319
Speaker 1: they were calling them sonic attacks, like they would hear

905
00:52:27,360 --> 00:52:30,000
Speaker 1: strange sounds and then they would start feeling like they

906
00:52:30,000 --> 00:52:34,799
Speaker 1: were concussed the next day. And earlier last week, it

907
00:52:34,880 --> 00:52:39,920
Speaker 1: was being reported that the military and the doctors they

908
00:52:39,960 --> 00:52:44,440
Speaker 1: had looking into it were considering microwave weapons as a

909
00:52:44,560 --> 00:52:51,160
Speaker 1: prime suspect because there is a theoretic possibility, theoretical possibility

910
00:52:51,200 --> 00:52:55,960
Speaker 1: that you could use microwaves to basically cause sonic illusions

911
00:52:56,160 --> 00:53:01,319
Speaker 1: in people's minds. Are you telling me I need the Yes,

912
00:53:01,640 --> 00:53:08,840
Speaker 1: that's exactly what dangerous. Yeah, well, it's a theoretical possibility. Also,

913
00:53:09,000 --> 00:53:11,279
Speaker 1: the New York Times article that everybody was reacting to

914
00:53:11,480 --> 00:53:14,640
Speaker 1: was just saying microwaves were a prime suspect, and like

915
00:53:14,719 --> 00:53:18,120
Speaker 1: the Fox News is and other you know, garbage publications

916
00:53:18,120 --> 00:53:20,160
Speaker 1: of the world took that to mean that that was

917
00:53:20,200 --> 00:53:24,200
Speaker 1: exactly what it was. And a lot of doctors are

918
00:53:24,320 --> 00:53:28,719
Speaker 1: now basically calling bullshit on this report. Uh. I think

919
00:53:28,760 --> 00:53:33,080
Speaker 1: a lot of people are on you know, I've been

920
00:53:33,080 --> 00:53:35,319
Speaker 1: saying I thought it was mass hysteria since the very

921
00:53:35,320 --> 00:53:39,239
Speaker 1: first article, and or you know, a social contagion is

922
00:53:39,320 --> 00:53:42,400
Speaker 1: another way of putting it, because all right, uh, there's

923
00:53:42,400 --> 00:53:45,879
Speaker 1: my conspiracy theory music. But you know, it's not that

924
00:53:45,920 --> 00:53:49,080
Speaker 1: they didn't feel these symptoms. They have the symptoms. It's

925
00:53:49,120 --> 00:53:53,560
Speaker 1: just that, like anything, your mind can cause physical symptoms.

926
00:53:53,840 --> 00:53:55,840
Speaker 1: I don't know if it's real or not, what happened,

927
00:53:55,840 --> 00:53:57,399
Speaker 1: if there was an attack or not. But I find

928
00:53:57,400 --> 00:53:59,319
Speaker 1: it hard to believe that Cuba in any way, shape

929
00:53:59,400 --> 00:54:02,840
Speaker 1: or formers behind end it um because just the political

930
00:54:02,880 --> 00:54:05,160
Speaker 1: position they're in right now. I went for a visit

931
00:54:05,200 --> 00:54:08,799
Speaker 1: their last year with the Nation magazine, which is like

932
00:54:08,840 --> 00:54:12,520
Speaker 1: a cool leftist rag um. But you know, we spent

933
00:54:12,560 --> 00:54:15,040
Speaker 1: a lot of time being fed a certain amount of

934
00:54:15,080 --> 00:54:17,439
Speaker 1: like government propaganda, but also getting to interview and talk

935
00:54:17,440 --> 00:54:21,520
Speaker 1: to a lot of different types of Cubans, and uh,

936
00:54:22,000 --> 00:54:26,040
Speaker 1: they need a relationship with the United States badly, like

937
00:54:26,120 --> 00:54:27,960
Speaker 1: it is so in their best interest to have a

938
00:54:28,040 --> 00:54:31,319
Speaker 1: working trade agreement with the United States and to have

939
00:54:31,520 --> 00:54:36,600
Speaker 1: a more economic interaction with their their natural organic trading

940
00:54:36,640 --> 00:54:39,160
Speaker 1: partner ninety miles away the coast of Florida. You know,

941
00:54:39,239 --> 00:54:42,320
Speaker 1: it doesn't make any sense to be attacking US diplomats

942
00:54:42,360 --> 00:54:45,080
Speaker 1: or to be endanger as they're opening the window and

943
00:54:45,120 --> 00:54:48,320
Speaker 1: opening the door to a better and more fruitful relationship

944
00:54:48,360 --> 00:54:50,239
Speaker 1: in the United States. That it makes no sense. Yeah,

945
00:54:50,280 --> 00:54:52,520
Speaker 1: and China maybe I don't know, right, And some people

946
00:54:52,560 --> 00:54:55,120
Speaker 1: are saying Russia. Some people are saying China because then

947
00:54:55,239 --> 00:54:59,640
Speaker 1: it's spread to diplomats in China. Right. But the other

948
00:54:59,719 --> 00:55:04,120
Speaker 1: thing is that microwave weapons are a thing that the U. S.

949
00:55:04,200 --> 00:55:09,920
Speaker 1: Military has been investigating and investing in and trying to

950
00:55:10,040 --> 00:55:14,399
Speaker 1: develop for many years and just weren't able to. So

951
00:55:14,640 --> 00:55:17,960
Speaker 1: if you believe it's microwaves, you also believe that another

952
00:55:18,080 --> 00:55:21,840
Speaker 1: country has created a weapon that not only have we

953
00:55:21,960 --> 00:55:25,399
Speaker 1: not been able to create yet, but we didn't We

954
00:55:25,680 --> 00:55:28,279
Speaker 1: still don't know that it's possible, and most scientists don't

955
00:55:28,320 --> 00:55:31,920
Speaker 1: think it's possible. Yeah. Actually I interviewed this one Mary Wareham,

956
00:55:31,960 --> 00:55:35,720
Speaker 1: who's from the Human Rights Campaign. Uh and uh she

957
00:55:35,719 --> 00:55:38,400
Speaker 1: she on my podcast Saving the World with Baron Lucas.

958
00:55:38,440 --> 00:55:40,960
Speaker 1: But she she uh, her whole thing is that she

959
00:55:41,000 --> 00:55:45,560
Speaker 1: works against weapons of particular cruelty and warfare, and uh,

960
00:55:45,719 --> 00:55:47,320
Speaker 1: we're talking about like, you know, she helps stop the

961
00:55:47,400 --> 00:55:52,800
Speaker 1: use of blinding lasers, dazzling lasers, cluster bombs, intercontinental ballistic missiles,

962
00:55:52,880 --> 00:55:55,120
Speaker 1: and IBM treaty in the nineties that she was responsible for.

963
00:55:55,520 --> 00:55:59,040
Speaker 1: She's now working to stop killer robots because we're like

964
00:55:59,040 --> 00:56:01,719
Speaker 1: two to three outs from totally autonomous sort of terminators,

965
00:56:01,800 --> 00:56:06,239
Speaker 1: robot robot war Um. But but a point that sort

966
00:56:06,239 --> 00:56:09,279
Speaker 1: of came up in our conversation was that, uh, the

967
00:56:09,440 --> 00:56:13,880
Speaker 1: two world leaders far and away for creating these crazy, crazy,

968
00:56:13,880 --> 00:56:17,560
Speaker 1: crazy weapons for the US and Israel. Yes, like the

969
00:56:17,719 --> 00:56:20,359
Speaker 1: entire world is like absolutely, we want to stop using

970
00:56:20,360 --> 00:56:23,160
Speaker 1: these crazy weapons because they're the ones that the weapons

971
00:56:23,200 --> 00:56:25,359
Speaker 1: get used on most of the time. And the US

972
00:56:25,400 --> 00:56:30,640
Speaker 1: and Israel like, yeah, cool, don't you want to die

973
00:56:30,640 --> 00:56:36,000
Speaker 1: in a cool exciting way? Dazzling lasers? Come on, come

974
00:56:36,040 --> 00:56:40,040
Speaker 1: to West Hollywood, enjoy the dazzling lasers, you know. Um.

975
00:56:40,080 --> 00:56:42,040
Speaker 1: But yeah, so you know it's it's hard to believe.

976
00:56:42,120 --> 00:56:45,680
Speaker 1: Like you said that another country has beaten the US

977
00:56:45,840 --> 00:56:49,000
Speaker 1: to the punch with like new weapons technology was Viking.

978
00:56:49,080 --> 00:56:50,879
Speaker 1: If you're listening out there and you're worried about your

979
00:56:50,920 --> 00:56:53,920
Speaker 1: microwave for sixty dollars, I will come to your house

980
00:56:54,040 --> 00:56:56,880
Speaker 1: and fight your microwave. I mean, I've never trusted my toaster.

981
00:56:57,200 --> 00:56:59,880
Speaker 1: Just first things first, I will fight all of the

982
00:57:00,120 --> 00:57:03,440
Speaker 1: much so much trust in my toaster. I trust my

983
00:57:03,520 --> 00:57:07,719
Speaker 1: toaster with like with my life. I love toast. If

984
00:57:07,719 --> 00:57:10,560
Speaker 1: there's anything I can make into toast, I'm gonna do

985
00:57:10,640 --> 00:57:13,280
Speaker 1: it so good. I grow mine in a toast griller

986
00:57:13,280 --> 00:57:14,880
Speaker 1: because I need to see what then the toast is

987
00:57:14,960 --> 00:57:17,800
Speaker 1: up to toaster. Have a lot of trust to stick

988
00:57:17,880 --> 00:57:20,360
Speaker 1: something in a toaster because it is just down there percolating.

989
00:57:20,400 --> 00:57:22,840
Speaker 1: You learn it, You learn it. You know what I mean.

990
00:57:23,280 --> 00:57:26,320
Speaker 1: There's getting to know each other. No pass code on

991
00:57:26,360 --> 00:57:30,440
Speaker 1: my toaster. But the Washington Post published an article with

992
00:57:30,720 --> 00:57:34,960
Speaker 1: a more kind of complete scientific consensus that's saying They

993
00:57:35,000 --> 00:57:37,720
Speaker 1: basically said, you know, there's an old scientific aphorism that

994
00:57:37,840 --> 00:57:41,240
Speaker 1: extraordinary claims require extraordinary evidence, and they're not giving the

995
00:57:41,280 --> 00:57:45,440
Speaker 1: extraordinary evidence. They're not giving any evidence. So I'm still

996
00:57:45,920 --> 00:57:50,680
Speaker 1: leaning towards social contagion. It's an actual illness. It's that

997
00:57:50,680 --> 00:57:52,520
Speaker 1: that's not a thing that's like, ah, there are a

998
00:57:52,520 --> 00:57:54,960
Speaker 1: bunch of wacky kids got it in their head. It's

999
00:57:55,000 --> 00:57:57,960
Speaker 1: an actual illness. It will cause physical symptoms. It's just

1000
00:57:58,520 --> 00:58:00,520
Speaker 1: the human mind is a crazy thing and we just

1001
00:58:00,680 --> 00:58:04,240
Speaker 1: don't even come close to understanding. But microwave weapons is

1002
00:58:04,240 --> 00:58:06,880
Speaker 1: the thing that we should be able to understand and

1003
00:58:06,920 --> 00:58:10,600
Speaker 1: would have figured out by now probably. Um. And finally

1004
00:58:10,760 --> 00:58:15,560
Speaker 1: we wanted to talk about Nicki Minaj. So Jeffrey Owens

1005
00:58:16,120 --> 00:58:18,320
Speaker 1: is what was the name of his character on the

1006
00:58:18,320 --> 00:58:23,400
Speaker 1: Cosby Show? Do you remember Alvin? Yes? So Alvin was

1007
00:58:27,760 --> 00:58:31,440
Speaker 1: I think he defined the name Alvin. Yeah, so that

1008
00:58:31,520 --> 00:58:34,240
Speaker 1: in the Chipmunk. Yes, Well, he took it over. The

1009
00:58:34,320 --> 00:58:38,040
Speaker 1: Chipmunk just couldn't get work after Jeffrey took me. When

1010
00:58:38,080 --> 00:58:40,080
Speaker 1: you think about it, the name Alvin and the Chipmunks

1011
00:58:40,120 --> 00:58:43,880
Speaker 1: is incredibly misleading because you immediately assumed that he's not

1012
00:58:43,960 --> 00:58:48,040
Speaker 1: a chipmunk, right, because Alvin with other chipmunks. But it's

1013
00:58:48,040 --> 00:58:51,680
Speaker 1: like Destiny's child, like there was children, Yeah, but it

1014
00:58:51,760 --> 00:58:55,480
Speaker 1: was Beyonce who was the child. Yeah, because it was

1015
00:58:55,520 --> 00:58:57,640
Speaker 1: her mom who named it. Yeah, yeah, yeah, she wasn't

1016
00:58:57,680 --> 00:59:01,560
Speaker 1: trying to be subtle. No, and right, she was right,

1017
00:59:01,600 --> 00:59:04,400
Speaker 1: she was very right, speaking of earlier. Earlier with Beyonce

1018
00:59:04,560 --> 00:59:06,480
Speaker 1: is a great example of someone who is ubiquitous but

1019
00:59:06,560 --> 00:59:09,439
Speaker 1: still mysterious. Oh yes, because she keeps things to herself. Yeah,

1020
00:59:09,440 --> 00:59:12,480
Speaker 1: you don't know anything about her really, Yeah, because it

1021
00:59:12,520 --> 00:59:14,320
Speaker 1: allows us to all keep her up on that pedestal.

1022
00:59:15,960 --> 00:59:18,360
Speaker 1: So she looks so good up there, Yeah, she looks amazing.

1023
00:59:18,880 --> 00:59:23,920
Speaker 1: Maybe Alvin has like a O. J's theory on race,

1024
00:59:24,200 --> 00:59:27,320
Speaker 1: like that's how Alvin views himself as a chipmunk. He's like,

1025
00:59:27,400 --> 00:59:37,600
Speaker 1: I'm not a chipmunk. I'm Alvin. Everybody knows. Everybody knows it.

1026
00:59:38,240 --> 00:59:41,360
Speaker 1: What was that guy he was with? Dave? Dave, Dave,

1027
00:59:41,560 --> 00:59:46,280
Speaker 1: He's crazy so like, you know, having kids, I now

1028
00:59:46,360 --> 00:59:49,720
Speaker 1: have these like radio stations, like streaming stations where it's

1029
00:59:49,760 --> 00:59:53,440
Speaker 1: just like children's music and chipmunk songs will come on,

1030
00:59:53,800 --> 00:59:58,640
Speaker 1: and Dave is just a barely contained rageaholic the whole time.

1031
00:59:58,640 --> 01:00:01,920
Speaker 1: He's just like a Dan you shut the funk, Like

1032
01:00:01,960 --> 01:00:06,440
Speaker 1: he's so mad all the time. It's crazy. Anyways, Jeffrey

1033
01:00:06,440 --> 01:00:10,000
Speaker 1: owns somebody saw him working a non acting job at

1034
01:00:10,040 --> 01:00:13,040
Speaker 1: Trader Joe's. His shirt looked a little dirty. He might

1035
01:00:13,040 --> 01:00:15,400
Speaker 1: have just been like moving some dusty boxes in the

1036
01:00:15,440 --> 01:00:18,800
Speaker 1: back of the Trader Joe's and they would like took

1037
01:00:18,920 --> 01:00:21,800
Speaker 1: video of him, and we're like, what are you doing, idiot? Why?

1038
01:00:21,800 --> 01:00:24,040
Speaker 1: Why are you working a real job? Loser? Look a

1039
01:00:24,040 --> 01:00:27,160
Speaker 1: little dusty for Trader jokes. He looked dusty for a

1040
01:00:27,240 --> 01:00:31,280
Speaker 1: Trader Joe's employee. Uh, And he was like this is

1041
01:00:31,680 --> 01:00:35,160
Speaker 1: you know, I do other jobs besides acting, because acting

1042
01:00:35,280 --> 01:00:40,000
Speaker 1: is not the steadiest of work. And people were immediately

1043
01:00:40,120 --> 01:00:44,760
Speaker 1: like this poor man. And Nicki Minaj decided to get

1044
01:00:44,800 --> 01:00:49,600
Speaker 1: involved and has chosen to donate two dollars to him

1045
01:00:49,960 --> 01:00:53,600
Speaker 1: Nicky to get off those pills and potions. What a

1046
01:00:54,080 --> 01:00:57,200
Speaker 1: what an embarrassing donation to make. Yeah, first of all,

1047
01:00:57,240 --> 01:00:59,040
Speaker 1: we know how much fun you got, girl, like what

1048
01:00:59,160 --> 01:01:02,200
Speaker 1: this is barely just like of all the people to

1049
01:01:02,240 --> 01:01:06,680
Speaker 1: help out, not guy. Yeah, like, Jeffrey is not destitute

1050
01:01:07,760 --> 01:01:12,120
Speaker 1: jobs the job he's working. He got embarrassed wrongly on

1051
01:01:12,160 --> 01:01:15,800
Speaker 1: social media. That embarrassment led to great fortune those haters.

1052
01:01:15,800 --> 01:01:18,400
Speaker 1: Big ups to the haters. I never knew haters could

1053
01:01:18,440 --> 01:01:20,360
Speaker 1: do so much for you saw my haters. Stay strong

1054
01:01:20,400 --> 01:01:23,600
Speaker 1: out there, you know, keep hating way better than donation.

1055
01:01:23,720 --> 01:01:26,640
Speaker 1: Was like Childer Carry offered him a job. Though he

1056
01:01:26,720 --> 01:01:29,360
Speaker 1: got several job offers off of he said he wouldn't

1057
01:01:29,360 --> 01:01:32,240
Speaker 1: take no. He quit Trader Joe's. I know he quit

1058
01:01:32,280 --> 01:01:34,080
Speaker 1: Trated Joe's, but it wasn't a take because I also

1059
01:01:34,120 --> 01:01:35,600
Speaker 1: saw somewhere he's like, I don't want to take jobs

1060
01:01:35,640 --> 01:01:38,600
Speaker 1: because of this. He was about to take a damn

1061
01:01:38,680 --> 01:01:41,240
Speaker 1: job he was. He was like Bay Trader Joseph Hello,

1062
01:01:41,320 --> 01:01:44,640
Speaker 1: Nicki Minaj saying I think that's what he's saying because

1063
01:01:44,640 --> 01:01:45,840
Speaker 1: it would be a bad look to be like and

1064
01:01:46,040 --> 01:01:52,080
Speaker 1: by there's nothing wrong with working at Trader Joe's. Good day.

1065
01:01:52,120 --> 01:01:55,480
Speaker 1: I'll never be here. I wouldn't even shop here. You

1066
01:01:55,600 --> 01:02:00,919
Speaker 1: never believed um yeah. I mean it's also because she's

1067
01:02:00,920 --> 01:02:03,840
Speaker 1: just once. She's had so many public meltdowns as of

1068
01:02:03,920 --> 01:02:06,440
Speaker 1: late that I'm just like, sis, get it together. Like

1069
01:02:06,520 --> 01:02:09,960
Speaker 1: she was clowning Travis Scott calling him the whole Nigga

1070
01:02:10,000 --> 01:02:13,000
Speaker 1: of the week on her podcast because he has the

1071
01:02:13,080 --> 01:02:17,200
Speaker 1: number one album and she feels like she should have it.

1072
01:02:17,200 --> 01:02:19,720
Speaker 1: It's not great, But you didn't hear that from me

1073
01:02:19,800 --> 01:02:23,280
Speaker 1: as a black American. I love NICKI MNA, I'm kidding.

1074
01:02:23,320 --> 01:02:24,800
Speaker 1: I don't have to stand up for her. She's so

1075
01:02:24,880 --> 01:02:29,240
Speaker 1: homophobic and misogynist. Boo bitch bye, be mad, stay sad um.

1076
01:02:29,280 --> 01:02:35,200
Speaker 1: But she she freaking like has been attacking him on

1077
01:02:35,240 --> 01:02:37,120
Speaker 1: every platform, and she's like, no, I'm not mad. I'm

1078
01:02:37,160 --> 01:02:38,960
Speaker 1: not mad as like girl, you are, and now here

1079
01:02:39,000 --> 01:02:42,040
Speaker 1: she is on Twitter trying to flex, Like girl, if

1080
01:02:42,040 --> 01:02:44,040
Speaker 1: you want to slide Gary or Jeffrey all, it's why

1081
01:02:44,040 --> 01:02:49,760
Speaker 1: do you call him Gary? Named yourself Gary alvin Um.

1082
01:02:50,240 --> 01:02:53,680
Speaker 1: But if you don't want to slide Jeffreys, can't you

1083
01:02:53,680 --> 01:02:56,920
Speaker 1: just do that quietly through PayPal? Like we don't need

1084
01:02:56,960 --> 01:02:59,000
Speaker 1: to know about it. It was less about helping him

1085
01:02:59,040 --> 01:03:01,640
Speaker 1: to making sure everybody else us knew that you're right right, Yeah,

1086
01:03:01,760 --> 01:03:06,400
Speaker 1: it just seems so transparently, like yeah, just chasing a trend,

1087
01:03:06,640 --> 01:03:09,280
Speaker 1: donate that to one of the Merriam Webster's new food banks.

1088
01:03:09,800 --> 01:03:13,400
Speaker 1: It's not only it's not only chasing the first trend

1089
01:03:13,560 --> 01:03:16,520
Speaker 1: that you see, but also going with the very first

1090
01:03:16,560 --> 01:03:19,600
Speaker 1: thought that that trend gives you. It's like, okay, and

1091
01:03:21,120 --> 01:03:23,080
Speaker 1: well this is why I'm like, I I disagree with you.

1092
01:03:23,120 --> 01:03:25,040
Speaker 1: Elon Mustard I don't think speed is the answer. I

1093
01:03:25,080 --> 01:03:27,240
Speaker 1: think we need to start. I think our brains were better.

1094
01:03:28,360 --> 01:03:30,040
Speaker 1: I think we're trying to act like we can make

1095
01:03:30,080 --> 01:03:33,480
Speaker 1: decisions at this furious pace, and I think we inevitably

1096
01:03:33,560 --> 01:03:37,280
Speaker 1: are just like making terrible decisions one after the other

1097
01:03:37,680 --> 01:03:40,800
Speaker 1: and a sort of Domino's sequence, almost really dominating a

1098
01:03:40,840 --> 01:03:45,000
Speaker 1: tattoo for free pizza for a century. What I mean,

1099
01:03:45,000 --> 01:03:46,919
Speaker 1: it's a great choice to do. What a terrible idea

1100
01:03:46,960 --> 01:03:51,120
Speaker 1: for Domino. You know, they were trying to slow down

1101
01:03:51,160 --> 01:03:56,360
Speaker 1: and realize how good your pizza is. Like a small country, right,

1102
01:03:56,400 --> 01:03:58,400
Speaker 1: you know what I mean, pick a small island. That's

1103
01:03:58,440 --> 01:04:01,720
Speaker 1: what we're saying, Like Papa, do gain like like you know,

1104
01:04:01,920 --> 01:04:04,720
Speaker 1: really test people's faith, like do it with Rastafarians who

1105
01:04:04,720 --> 01:04:10,800
Speaker 1: don't believe in tattoos. Then it's like, man, you forsake

1106
01:04:10,840 --> 01:04:16,320
Speaker 1: your religion, would take job a delicious msgeld for your

1107
01:04:16,440 --> 01:04:20,000
Speaker 1: new god? You know are Dominoes? Yeah, man, just embraced

1108
01:04:20,040 --> 01:04:21,880
Speaker 1: being evil, you know what I mean? But be smart

1109
01:04:21,920 --> 01:04:25,600
Speaker 1: about Also, Nicki Minas, did you guys hear about this?

1110
01:04:25,880 --> 01:04:28,880
Speaker 1: She doesn't sound like the most considerate of lovers, you

1111
01:04:28,880 --> 01:04:31,120
Speaker 1: know what I mean? She was talking about how She's like,

1112
01:04:31,160 --> 01:04:33,480
Speaker 1: if you're going to be with me one, I'm not

1113
01:04:33,520 --> 01:04:35,360
Speaker 1: into kissing that much, so don't try and be like

1114
01:04:35,440 --> 01:04:38,040
Speaker 1: kissing me that much. But I wanted three times a night,

1115
01:04:38,400 --> 01:04:41,240
Speaker 1: not a lot of kissing, just get to work, make

1116
01:04:41,320 --> 01:04:42,800
Speaker 1: me happy. And I was like, if some if some

1117
01:04:42,880 --> 01:04:44,840
Speaker 1: guy said that, it would be you'd be like, what

1118
01:04:44,880 --> 01:04:48,919
Speaker 1: a monster. I can't, but that's a woman. I'm like, yeah,

1119
01:04:49,520 --> 01:04:51,960
Speaker 1: I mean three times a night. Don't kiss me or

1120
01:04:51,960 --> 01:04:53,400
Speaker 1: look at me in the eyes. Don't even come in

1121
01:04:53,440 --> 01:04:57,600
Speaker 1: here with a face, just a dick and legs like

1122
01:04:57,720 --> 01:05:00,959
Speaker 1: the worst. You're right, it's so at, you know. Someone

1123
01:05:01,000 --> 01:05:04,160
Speaker 1: actually tweeted her um after she said she was donating

1124
01:05:04,160 --> 01:05:07,400
Speaker 1: the twenty five thousand dollars and they said donate as

1125
01:05:07,440 --> 01:05:10,520
Speaker 1: if this man is in dire straints or a charity organization,

1126
01:05:10,800 --> 01:05:13,000
Speaker 1: please use an uber ride credit to get the funk

1127
01:05:13,000 --> 01:05:16,360
Speaker 1: out of my face. That's when someone tweeted Nicki Minaj.

1128
01:05:16,600 --> 01:05:19,400
Speaker 1: Then she retweeted it and said, I'd rather use my

1129
01:05:19,560 --> 01:05:26,120
Speaker 1: Uber ride to you to suck my things are going well,

1130
01:05:26,520 --> 01:05:29,360
Speaker 1: she should be, but you can just so's she must

1131
01:05:29,360 --> 01:05:31,800
Speaker 1: have just surrounded herself with some bad people. She absolutely

1132
01:05:31,800 --> 01:05:34,680
Speaker 1: because you know what I mean, artists don't make decisions

1133
01:05:34,680 --> 01:05:37,160
Speaker 1: by themselves at that level, you have like a posse

1134
01:05:37,240 --> 01:05:39,200
Speaker 1: of people who are all helping you make decisions and

1135
01:05:39,240 --> 01:05:42,040
Speaker 1: strategize and things like that, and she just doesn't have Like,

1136
01:05:42,120 --> 01:05:44,360
Speaker 1: look at the production on her album. Yeah, just like

1137
01:05:44,800 --> 01:05:46,479
Speaker 1: that wasn't a lot of good decisions. And they're also

1138
01:05:46,520 --> 01:05:48,360
Speaker 1: just afraid to be cast out. You hear them on

1139
01:05:48,360 --> 01:05:50,280
Speaker 1: her rate on her podcast and like they'll be in

1140
01:05:50,280 --> 01:05:52,040
Speaker 1: the back. She's like, I'm the best rapper to ever

1141
01:05:52,160 --> 01:05:55,120
Speaker 1: do it, and they're like, yeah, yeah, Nikki, You're the best.

1142
01:05:55,200 --> 01:05:57,320
Speaker 1: A Queen is the number one album? Yeah yeah, yeah,

1143
01:05:57,320 --> 01:06:00,360
Speaker 1: despite what bill Board says, definitely number what think like

1144
01:06:00,400 --> 01:06:04,520
Speaker 1: they're just back there hyping her and it's so insane. Yeah, Oh,

1145
01:06:04,560 --> 01:06:07,720
Speaker 1: Gary owns, I hope you get Gary, Jeffrey, Jeffrey, I'm

1146
01:06:07,720 --> 01:06:11,040
Speaker 1: so sorry, Jeffrey. I hope you get that that apology

1147
01:06:11,160 --> 01:06:17,320
Speaker 1: is not going a couple of times and Gary hanging there. Yeah,

1148
01:06:19,640 --> 01:06:22,080
Speaker 1: I'm not an out of work actor. But if I

1149
01:06:22,120 --> 01:06:25,720
Speaker 1: ever am, should I be tweeting apparently? Yeah. I just

1150
01:06:25,760 --> 01:06:28,880
Speaker 1: hope she doesn't find this episode, Lucas. It has been

1151
01:06:28,880 --> 01:06:31,640
Speaker 1: a pleasure of having you. Man, where can people find you?

1152
01:06:31,760 --> 01:06:33,760
Speaker 1: Other than all that stuff we talked about up top,

1153
01:06:34,120 --> 01:06:37,439
Speaker 1: stay working. But where can they find you on social media? Well,

1154
01:06:37,960 --> 01:06:40,480
Speaker 1: I'm only on Instagram. Um, so you can get me

1155
01:06:40,520 --> 01:06:46,959
Speaker 1: a Lucas NEF six six six. Uh yeah, yeah, that's right, guys,

1156
01:06:46,960 --> 01:06:49,440
Speaker 1: I'm a wild card. Uh. You know, it's just a

1157
01:06:49,440 --> 01:06:51,600
Speaker 1: lot of fun content. Uh. You know, you get a

1158
01:06:51,640 --> 01:06:53,640
Speaker 1: little get to get to know the inner workings in

1159
01:06:53,720 --> 01:06:55,200
Speaker 1: my mind a little bit more the things I like,

1160
01:06:55,400 --> 01:06:58,920
Speaker 1: things that just like laying that tent. So you're not

1161
01:06:59,000 --> 01:07:00,960
Speaker 1: on Twitter, so I can't ask you if there's a

1162
01:07:01,000 --> 01:07:06,360
Speaker 1: tweet you've been enjoying. Is there a Instagram post feed

1163
01:07:06,400 --> 01:07:08,760
Speaker 1: that you enjoy I mean there's a there's a bunch

1164
01:07:08,800 --> 01:07:12,200
Speaker 1: of really great feed. If you high process video. Look

1165
01:07:12,240 --> 01:07:15,840
Speaker 1: at this Russian. Um, there's like you know, I'd say,

1166
01:07:15,840 --> 01:07:18,080
Speaker 1: look at this Russian if you're like really want to

1167
01:07:18,080 --> 01:07:20,840
Speaker 1: get to understand why Domino has made a terrible decision,

1168
01:07:21,800 --> 01:07:24,800
Speaker 1: Like they didn't know who they were up against. They

1169
01:07:24,840 --> 01:07:31,880
Speaker 1: are an unstoppable, chaotic force that loves pizza. Sure, Look

1170
01:07:31,880 --> 01:07:35,560
Speaker 1: they're just free stuff. Man. You offer free stuff to anybody,

1171
01:07:35,600 --> 01:07:37,600
Speaker 1: they will take that tattoo you can get like a

1172
01:07:37,640 --> 01:07:40,560
Speaker 1: sixty dollar tattoos may or may not have a Domino's

1173
01:07:40,560 --> 01:07:45,200
Speaker 1: tattoo on my ass. Yeah not Yeah, you know what

1174
01:07:45,240 --> 01:07:48,880
Speaker 1: I mean. It makes it's just financially it's a great investment,

1175
01:07:49,160 --> 01:07:52,280
Speaker 1: is I mean? Admittedly you have to be Russian, right s.

1176
01:07:55,080 --> 01:07:59,480
Speaker 1: This is once again why we need to slow down, Lacy.

1177
01:08:00,000 --> 01:08:02,360
Speaker 1: Where can people find you? Oh? You can find me

1178
01:08:02,400 --> 01:08:04,880
Speaker 1: on all platforms under the same name d I v

1179
01:08:05,080 --> 01:08:08,800
Speaker 1: A l A c I Diva Lacey. And is there

1180
01:08:08,800 --> 01:08:11,760
Speaker 1: a tweet you've been enjoying? Oh, there is a tweet

1181
01:08:11,760 --> 01:08:14,360
Speaker 1: that I have been Okay, I've been enjoying a series

1182
01:08:14,640 --> 01:08:16,920
Speaker 1: of tweets. I don't know if you guys have seen these.

1183
01:08:17,000 --> 01:08:19,720
Speaker 1: You have to have based off of the Colin Kaepernick

1184
01:08:19,960 --> 01:08:23,559
Speaker 1: Nike just do a campaign. There have been a bunch

1185
01:08:23,760 --> 01:08:27,720
Speaker 1: of photos that have surfaced with other people's photos and

1186
01:08:27,760 --> 01:08:30,639
Speaker 1: other quotes, like there's one of Donald Trump says, believe

1187
01:08:30,680 --> 01:08:34,200
Speaker 1: in something even if you just made it up. Or

1188
01:08:35,080 --> 01:08:38,200
Speaker 1: my personal favorite, which is just a bunch of letters

1189
01:08:38,240 --> 01:08:41,280
Speaker 1: like school and it's kind a picture of Floyd Mayweather.

1190
01:08:43,120 --> 01:08:45,960
Speaker 1: Actually just got I got sent to tweet through Instagram

1191
01:08:46,040 --> 01:08:49,160
Speaker 1: that I think is pretty great and it's Elon Musk

1192
01:08:49,640 --> 01:08:53,400
Speaker 1: smoking that that is a huge joint on Joe Rogan's

1193
01:08:53,800 --> 01:09:02,479
Speaker 1: and it's what if the car's head titties? Yes, and

1194
01:09:02,520 --> 01:09:05,840
Speaker 1: that's at yeah, yeah, yeah me am. I used some

1195
01:09:05,960 --> 01:09:08,160
Speaker 1: Twitter handle I don't know, but I get sent tweets

1196
01:09:08,160 --> 01:09:11,640
Speaker 1: now awesome, you know what I mean, tweets on Instagram.

1197
01:09:11,720 --> 01:09:14,519
Speaker 1: That's how you're living. Yeah, man, I hate how much

1198
01:09:14,520 --> 01:09:17,120
Speaker 1: our read tweets like in newspapers or whatever. You know

1199
01:09:17,160 --> 01:09:19,840
Speaker 1: what I mean. Media, Yeah, it's I'm like, God, there's something.

1200
01:09:19,840 --> 01:09:22,800
Speaker 1: So they're like random Joe blow six six six, big

1201
01:09:22,840 --> 01:09:27,360
Speaker 1: cock over here. President Trump's foreign policy is great, yes,

1202
01:09:27,560 --> 01:09:29,680
Speaker 1: you know, like Jesus Christ and you need to thank

1203
01:09:29,760 --> 01:09:34,440
Speaker 1: him and like, how is this this is acceptable news? Okay.

1204
01:09:35,040 --> 01:09:37,080
Speaker 1: You can follow me on Twitter at Jack Underscore ol

1205
01:09:37,160 --> 01:09:42,599
Speaker 1: Brian and tweet. I've been enjoying lanarchus Aldredge at Adam

1206
01:09:42,880 --> 01:09:48,360
Speaker 1: l on Twitter tweote White people love saying, oh that

1207
01:09:48,520 --> 01:09:53,080
Speaker 1: was terrible after throwing a frisbee. Very true in my experience.

1208
01:09:54,240 --> 01:09:58,080
Speaker 1: You can follow us at Daily z Etgeist on Twitter.

1209
01:09:58,120 --> 01:10:00,120
Speaker 1: We're at the Daily z Eyegeist on Instagram. We a

1210
01:10:00,120 --> 01:10:03,320
Speaker 1: Facebook fan page on a website Daily zeitgeist dot com,

1211
01:10:03,320 --> 01:10:06,960
Speaker 1: where we post our episodes and our footnotes where we

1212
01:10:07,040 --> 01:10:09,720
Speaker 1: link off to the information that we talked about on

1213
01:10:09,800 --> 01:10:13,240
Speaker 1: today's episode as well as the song that we ride

1214
01:10:13,320 --> 01:10:17,000
Speaker 1: out on. You can also find those in the information

1215
01:10:17,520 --> 01:10:22,439
Speaker 1: about uh the information for the episode wherever you're listening

1216
01:10:22,479 --> 01:10:25,479
Speaker 1: to it on whatever device, that should be right in there.

1217
01:10:26,600 --> 01:10:30,200
Speaker 1: We are going to be at Chicago Podfest on December one.

1218
01:10:30,280 --> 01:10:34,839
Speaker 1: It's going to be the first live daily Zeitgeist. Probably

1219
01:10:34,840 --> 01:10:38,160
Speaker 1: not going to be like a live just regular episode

1220
01:10:38,160 --> 01:10:40,479
Speaker 1: of the show. We'll figure something fun out for you.

1221
01:10:41,080 --> 01:10:44,920
Speaker 1: Uh and Miles is not here to recommend a song

1222
01:10:45,120 --> 01:10:48,080
Speaker 1: right out on. So Miles is sick by the way,

1223
01:10:48,120 --> 01:10:52,720
Speaker 1: people wondering where he is. He woke up ill today. Uh,

1224
01:10:52,920 --> 01:10:55,840
Speaker 1: so we we decided to let him stay home. But

1225
01:10:56,000 --> 01:11:01,320
Speaker 1: to produce around Hosnie a Hi is all time great,

1226
01:11:01,560 --> 01:11:04,479
Speaker 1: legendary pinch hitter when it comes to ride out songs.

1227
01:11:05,080 --> 01:11:09,240
Speaker 1: What are we riding out today? Going to recommend this

1228
01:11:09,479 --> 01:11:13,360
Speaker 1: soul singer Leon Bridges Um, This is one of my

1229
01:11:13,400 --> 01:11:16,400
Speaker 1: favorite songs of his. It's called Lisa Sawyer and it's

1230
01:11:16,479 --> 01:11:20,080
Speaker 1: so sweet and it's so smooth. You know how I

1231
01:11:20,160 --> 01:11:23,000
Speaker 1: like those Oh yeah you do? You are always saying

1232
01:11:23,000 --> 01:11:30,160
Speaker 1: I like, uh yeah, So check it out, Lacy. It

1233
01:11:30,240 --> 01:11:31,920
Speaker 1: was great having you. Thank you so much for filling

1234
01:11:31,920 --> 01:11:36,360
Speaker 1: in for Miles. That's gonna do it for today. We

1235
01:11:36,360 --> 01:11:39,320
Speaker 1: will be back tomorrow because it is a daily podcast.

1236
01:11:39,360 --> 01:12:05,600
Speaker 1: We'll talk to you guys then by only you, Louisy

1237
01:12:06,040 --> 01:12:17,200
Speaker 1: and granted with the name Lisa Sawyer, Sir. The ninety

1238
01:12:17,520 --> 01:12:34,080
Speaker 1: six three grandmothers Indian. Indeed her mother's name earth swift

1239
01:12:34,160 --> 01:12:43,519
Speaker 1: as the wind, fierce as fire. Father's name Victor. We're

1240
01:12:43,640 --> 01:12:53,840
Speaker 1: two job to provide for this flock. She was the

1241
01:12:54,320 --> 01:13:02,719
Speaker 1: youngest seven say then she grew up Bunny Street, chaos

1242
01:13:02,920 --> 01:13:06,479
Speaker 1: around for a side coat and not small. But the

1243
01:13:06,600 --> 01:13:23,200
Speaker 1: mansion didn't hurt eyes I I yeah. John never had

1244
01:13:23,360 --> 01:13:32,280
Speaker 1: much tune uh me rud was fear rich welc couldn't

1245
01:13:32,320 --> 01:13:36,320
Speaker 1: get from a doctor Sino with lot to read. Ticket up.

1246
01:13:36,439 --> 01:14:19,639
Speaker 1: They had love love reading love, m Yeah. She had

1247
01:14:20,320 --> 01:14:29,160
Speaker 1: collection of the complexion of the seed, lean hairlong as

1248
01:14:29,320 --> 01:14:33,160
Speaker 1: to see, heart worn like Louisiana Son's voice, like a

1249
01:14:33,320 --> 01:14:48,360
Speaker 1: symphony of the most beautiful instruments, wall pull. At the

1250
01:14:49,000 --> 01:14:56,680
Speaker 1: age of sixteen six te she fired Christ and it

1251
01:14:56,760 --> 01:15:01,360
Speaker 1: all all along he was calling her name. The guys

1252
01:15:01,439 --> 01:15:10,679
Speaker 1: were spoken from the norm rain Made Made guys spoke.

1253
01:15:10,960 --> 01:15:24,800
Speaker 1: I found she was a hearted you. She was a

1254
01:15:25,040 --> 01:15:40,080
Speaker 1: hearted you leave. She is a hearty you. Or leave