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Speaker 1: Hello the Internet, and welcome to Season to sixty six,

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Speaker 1: episode one of Dirt Day production of I Heart Radio.

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

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Speaker 1: into America's share consciousness. And it is Monday, December five.

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Speaker 1: Nailed it the second time? What does it mean? What

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Speaker 1: does it all mean? World Soil Day? Uh? International Ninja Day?

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Speaker 1: Oh yeah, very very good for all my Japanese people

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Speaker 1: out there who we love that reference to our cultures.

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Speaker 1: Internet Ninja day, y'all. But I think also Japan is

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Speaker 1: playing in the World Cup somehow playing well. Yeah, the group,

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Speaker 1: I don't know how the funk that happened, but good

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Speaker 1: on them. But yeah, when you watched that one, did

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Speaker 1: you know I was breaking? I told you I was

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Speaker 1: on a panel during the second half, so all I

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Speaker 1: the only thing I knew about what was happening was

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Speaker 1: my phone blowing up from people's texting Japan. It's also

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Speaker 1: bathtub party Day? Uh huh? What does that think that's

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Speaker 1: just about? Is that like the ordinary shower and linger

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Speaker 1: in the tub instead, a bathtub party suggests multiple people

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Speaker 1: taking up again together. It says sounds like it's suspiciously

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Speaker 1: a crowded affair, but it doesn't have to be granted.

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Speaker 1: If you have young children, it's a timesaver to plunk

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Speaker 1: two or three of them in the tub at once. Yeah,

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Speaker 1: get the whole neighborhood in there. Save everybody sometime to

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Speaker 1: be an efficient neighborhood. Anyways, my name is Jack O'Brien,

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Speaker 1: a K. Eggnog in the fridge. It's going down nog

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Speaker 1: at the mall. It's going down nog by the court.

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Speaker 1: It's going down any noog this season guaranteed to go down.

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Speaker 1: That is courtesy of Johnny Davis, Bows of Johnny and

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Speaker 1: shout out to t VZ, Egg Discord Discords like Gang

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Speaker 1: for for surface in it and Young Chuck exactly. It's

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Speaker 1: it was nagged by the Court quart I just wanted

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Speaker 1: to make clear. Anyways, I'm thrilled to be joined as

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Speaker 1: always by my co host, Mr Miles Gray. It's Miles Gray,

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Speaker 1: a k. A Elon Muskie, Donald Trump E shrivel, little

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Speaker 1: short short man. Don't want, don't want, don't want, don't want,

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Speaker 1: don't want, don't want, don't want. Okay, shout out LOCKARONI

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Speaker 1: for that. Remember Gillette in twenty Fingers tum My CD

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Speaker 1: was skipping there for a second that was that CD

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Speaker 1: single You're Fucking blyth Warehouse. I remember my mom was like,

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Speaker 1: what the funk are you? Like, don't want no short

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Speaker 1: dick man? Like right, Mom, you get it right? And

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Speaker 1: that and it was they call you missed a personality

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Speaker 1: because you so ugly. Those tracks were fucking yeah. If

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Speaker 1: someone compliments your personality, that means you're ugly. Sorry, but

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Speaker 1: that's just fact. Jesus fucking Gillette. Whatever happened to Gillette?

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Speaker 1: I don't know. Not the Razor, Yeah, I was gonna

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Speaker 1: say they wanted to make a hell of a razor. Yeah.

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Speaker 1: My We are thrilled to be joined in our third

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Speaker 1: seat by a hilarious and talented comic and writer who's

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Speaker 1: one man show. Solo just had a run at the

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Speaker 1: Soho Playhouse, and I think it's been extended. Covers everything

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Speaker 1: from thirty year old bros, high school relationships, love, heartbreak,

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Speaker 1: and most importantly, from My Purposes. Taco Bell. You also

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Speaker 1: know him from every line Andy's boyfriend has in The

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Speaker 1: Devil whereas product, which we highlighted on this podcast. It's game, Molica,

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Speaker 1: what's up? Game for the show. I'm living a dream.

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Speaker 1: I appreciate you guys having me, and yes, my show

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Speaker 1: was extended. We have an announcedment, but I'll tell you

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Speaker 1: guys six weeks starting in January. So it's like, damn yeah, man,

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Speaker 1: it's that good. Damn yeah. People like it. Man, it's

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Speaker 1: been fair. That's awesome. That's awesome. Thank you Bell. I

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Speaker 1: want to talk about it. It's important to me. I

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Speaker 1: just glad you excited about any things that came back

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Speaker 1: on the menu this year. You know, I was never

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Speaker 1: a Mexican pizza guy, and I was not. I'm a

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Speaker 1: chicken case truther and it came back and then like

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Speaker 1: it's it's like the only thing that gave me like

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Speaker 1: a little bit of a stomachache. And I was like, okay,

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Speaker 1: I just like I know where I align in the

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Speaker 1: Taco Bell discourse, Like I'm a chicken case a guy.

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Speaker 1: For for through and through, I asked them to keep

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Speaker 1: the leave the chicken casit on for a little longer. Yeah,

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Speaker 1: could you keep that on for ten extra seconds for me? Smart? No?

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Speaker 1: Yeah you say that, Yeah, I do. I love that.

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Speaker 1: What's wrong with what? No? Because you always talk about

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Speaker 1: how you're like the last guy to like send of

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Speaker 1: like a meal back, Like I don't take it and

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Speaker 1: then say, hey, I know that, but I don't know

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Speaker 1: like you do custom ship to like even at Taco Bell,

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Speaker 1: Like it's the those seconds I feel like they're sometimes

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Speaker 1: they're just like yeah, sure, and I know they don't

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Speaker 1: do it because it comes out floppy, But sometimes they

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Speaker 1: appreciate that they're dealing with somebody who loves what they

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Speaker 1: do for a living and knows that they can add

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Speaker 1: joy to my life by you know, just give me

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Speaker 1: a little a little extra. Yeah. Do you ever go

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Speaker 1: to a fast food place and the food comes out

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Speaker 1: like hot and perfect and like it's not a mess

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Speaker 1: back there, and you know there's just one employee who's

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Speaker 1: just like willing it into existence. Yeah. For for me,

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Speaker 1: that's there's an Atlantic City comedy club. It's like this

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Speaker 1: theater and it's owned by the people who run New

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Speaker 1: York Comedy Club. So we all go out there. It's

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Speaker 1: not you don't make a lot of money, but you

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Speaker 1: get to play a theater. And the next day there's

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Speaker 1: this McDonald's or this Taco Bell that just like the

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Speaker 1: food is pristine, like you would not need to tell

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Speaker 1: them extra ten seconds on that case, and you can

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Speaker 1: get it in two seconds and you can without having

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Speaker 1: to tell them how to fucking assemble it from existing

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Speaker 1: menu items, like it's a bygone item. Okay, I'm sure

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Speaker 1: they're off menu is Bunnets. That's the Deep Dive magazine article.

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Speaker 1: I want somebody to do is like best taco bell

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Speaker 1: in America, just like the they nail every piece of food.

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Speaker 1: And there's somebody who's back there who's just a taco bell,

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Speaker 1: you know, case artist. It's just who deserves a living way. Yeah, yeah,

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Speaker 1: and that I think we would cut that out because

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Speaker 1: this Deep Dive articles appearing in the New York Times

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Speaker 1: so exactly that version that would be like and this person,

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Speaker 1: like the sense of pride they have when they clock

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Speaker 1: in for their shift every day is truly inspiring, despite

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Speaker 1: them going back to an apartment with many family members

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Speaker 1: that are depending on them. It's like, what about the Okay, fine,

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Speaker 1: just big up the case to be a part. But

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Speaker 1: I do like I do like a pristine's It is

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Speaker 1: like a moment when you eat something like it's like

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Speaker 1: what the commercial meet me feel like, Yeah, because most

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Speaker 1: of the time it's a mess. You we've all been

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Speaker 1: to McDonald's two in the morning and it just takes

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Speaker 1: forever and like I'm not even mad at them, Like

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Speaker 1: for me, that's the standard. But then when it's amazing,

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Speaker 1: you're like, oh damn, a Mick Chicken is like transcendental.

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Speaker 1: This one just came out the fryer thing. Yeah. Yeah.

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Speaker 1: Sometimes at two in the morning and McDonald's, my custom

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Speaker 1: order is just just dumped the bag in my lap.

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Speaker 1: Whatever you got, you want a bag, No, just just

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Speaker 1: throw the window, you keep the bag. Okay, alright, Gate,

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

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

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Speaker 1: couple of the things we're talking about today. We're talking

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Speaker 1: about the protests happening in China and how they started,

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Speaker 1: what they mean. We're going to talk about just like

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Speaker 1: kind of the mainstream media's perception of the Trump era

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Speaker 1: as I'm going to use this new George Saunders book

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Speaker 1: and George Saunders just the writer, George Saunders as a

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Speaker 1: as a lens to examine you know what they're like.

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Speaker 1: America is good. It's just going through a rough patch

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Speaker 1: because this this dang maniac came through and got everybody

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Speaker 1: riled up. But we'll go back to being a good

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Speaker 1: guy soon. So I'm gonna talk about that and why

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Speaker 1: why that's frustrating. We're gonna talk about Lindsay Lohan's Pepsi

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Speaker 1: milk commercial. Yeah, Lindsay Lohans. This is this stories really

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Speaker 1: super interesting actually because it first of all, it started

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Speaker 1: with a Utah like Churchill Latter Day Saints trend where

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Speaker 1: you know, they don't get to funk with alcohol or

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Speaker 1: any any of that stuff, so they like get really

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Speaker 1: in depth and thoughtful about their soda drinks. And there's

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Speaker 1: like competing soda bars, and one of them started doing

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Speaker 1: what they call dirty sodas, which is just like pouring

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Speaker 1: milk in sodas and sounds really gross to man. I

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Speaker 1: haven't tried it, but people are working with it enough

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Speaker 1: that Pepsi has come up off their decades long marketing

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Speaker 1: tactic of just being like, hey, do you like popular music,

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Speaker 1: then you'll like Pepsi like spice Girls, and and they've

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Speaker 1: they're they're trying something that actually has to do with

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Speaker 1: their products. So that's exciting. Oh, I thought it was

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Speaker 1: like some more like outrage marketing. We're introducing pilk and

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Speaker 1: probably but I don't probably get some of that it

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Speaker 1: sounds disgusting the origin. Yeah dirty, I mean that those

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Speaker 1: were going viral for the past couple of years, like

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Speaker 1: people just fucking working with milk and burials sodas. Yeah, anyways,

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Speaker 1: we'll get here. Dirty sprite, I think of somebody completely different,

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Speaker 1: but that's in Utah. They have a different kind of

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Speaker 1: dirty spread and in Houston a completely other dirty sprite. Okay,

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Speaker 1: shout out, yeah, much better. Try try the Utah version

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Speaker 1: first before you go to the Houston version. Sipping lean okay, yeah,

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Speaker 1: but before we get to any of that ship Gabe,

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Speaker 1: we like to ask our guest, what is something from

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Speaker 1: your search history? Oh? Man, So this is a little

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Speaker 1: bit embarrassing, but I had never seen until this week planes,

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Speaker 1: trains and Automobiles, And I finally watched it, and John

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Speaker 1: Candy man just like blew me away, and like I

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Speaker 1: knew him from stuff and I liked him in a

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Speaker 1: little cameo on Home Alone, Cool Runnings. But the last

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Speaker 1: thing I googled was a deep dive. Just like I

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Speaker 1: need to learn everything about John Candy, give me all

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Speaker 1: the candy. Yeah, man, he's just like he's a great

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Speaker 1: out to work on and said he had all these problems.

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Speaker 1: He showed up with like weights and like workout gear

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Speaker 1: to the set of planes, trains at automobiles, and then

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Speaker 1: Steve Martin was like and he never touched it. Like

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Speaker 1: this poor guy, Like he's so talented and so fraught

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Speaker 1: and I think we like we give, like Farley gets

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Speaker 1: so much props and he should and you know some

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Speaker 1: of those performers, but like Candy gets like a little

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Speaker 1: missed because like he was forty four, Like he wasn't

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Speaker 1: that old. I guess Farley wasn't either, but yeah, my god,

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Speaker 1: the deep every search was just like more John Candy things. Yeah,

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Speaker 1: uncle buck is he is a real good Candy showcase

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Speaker 1: carrying that thing? Yeah yeah yeah. What was the thing

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Speaker 1: about him in uh like Home Alone, Like he did

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Speaker 1: that for free? Yeah, like it was a favor. He

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Speaker 1: was just like, yeah, I could come by and like

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Speaker 1: do it. And he was like they're for like like

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Speaker 1: a few days, straight hours. They used him straight hours

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Speaker 1: and they finally let him go. Wow, he got paid

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Speaker 1: less than like the pizza guy who like like in

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Speaker 1: the movie, Well that guy was doing work. I mean

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Speaker 1: he had to act like he was being shot at.

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Speaker 1: That's right, that's right. Yeah, what is something you think

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Speaker 1: is overrated? We're gonna go more food today. I had

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Speaker 1: it the other day and it just it just did

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Speaker 1: not hit which is Chipotle. Man, just it was just

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Speaker 1: a sour cream ball with lettuce, and I was like

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Speaker 1: this used to mean something to me. Hold on what

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Speaker 1: it was sour cream? You just have sour cream and

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Speaker 1: a bowl with no no, no, They just like that's

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Speaker 1: like where the heavy hand was. Like, you know, I

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Speaker 1: just had my standards sour. It was my standard order

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Speaker 1: of cream ball with lettuce, and it just wasn't game. Stinks.

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Speaker 1: Other people was living like a monster. Yeah, I mean

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Speaker 1: I think it's like it had its hey day, Like

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Speaker 1: I mean, at least I remember when I was eating

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Speaker 1: heavy it was like eleven. Yeah, like heavy, like you

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Speaker 1: couldn't get you had to fucking like like pull me

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Speaker 1: out of there because I was just about that life.

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Speaker 1: And then I think over time you just kind of

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Speaker 1: like this isn't actually the best Mexican food you can eat,

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Speaker 1: so it more just becomes like I think because they

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Speaker 1: had a burrito bowl was like the first thing that

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Speaker 1: like inspired me to go. And then after a while,

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Speaker 1: like you know what, I like barritos enough that I'll

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Speaker 1: have a real one. Yeah, every local Mexican place is

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Speaker 1: cheaper and better. Right, basically, nont matter where you are,

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Speaker 1: like even on Long Island, Like my friends were like

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Speaker 1: hang on with my bros a lot, and like we're

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Speaker 1: not no one's ever like, yeah, tonight's the Chipotle at night?

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Speaker 1: Just right, Yeah it was for a while. It had

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Speaker 1: a run, and I do feel like I want to

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Speaker 1: say on behalf of Chipotle. I like their chips. I

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Speaker 1: like their chips with the you know, so sometimes I

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Speaker 1: have a little extra salta sometimes I'll splurge for the guac.

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Speaker 1: But I do like their chips are inconsistent even within

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Speaker 1: the bag. But there's like always one chip that's like

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Speaker 1: gets gets the lime juice and the salt and really

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Speaker 1: hits hard. So I don't know. I I still kind

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Speaker 1: of like Chipotle, but I also haven't had it for

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Speaker 1: like a year and a half, so maybe maybe they've

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Speaker 1: fallen off. I will say like they I have gone

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Speaker 1: to Chipotle and been very disappointed with what with the results.

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Speaker 1: So there there's a lot of variability. Yeah, Like I

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Speaker 1: don't like again, I don't hate Chipotle. I'm just it's

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Speaker 1: low on my list if I'm looking at things I

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Speaker 1: want to eat, and I think, like, because Jack, when

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Speaker 1: we were when we had that like studio in Hollywood, stab, Yeah,

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Speaker 1: you just don't get it, baby, But I remember that

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Speaker 1: was the time, like I would only eat Chipotle was

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Speaker 1: because I'm like, well, sh it already maxed out on

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Speaker 1: everything around here, like and we'd be like, I guess

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Speaker 1: we'll go to Chipotle. Yeah. But yeah, I have noticed

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Speaker 1: that they boxed up the stuff from your desk finally

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Speaker 1: two years after we left for the pandemic and sent

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Speaker 1: at home to you and ever since thing you've been

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Speaker 1: talking about the the studio in the past tense. Yeah,

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Speaker 1: I'm just here to say it's still there. I mean

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Speaker 1: I've even opened the box. It's like it's like Schrodinger's

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Speaker 1: like lost stuff box, Like I don't want it to

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Speaker 1: be real. I'm I opened a box full of like

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Speaker 1: old work stuff from like an old job, and I

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Speaker 1: was just like, just reminded me how much I hated

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Speaker 1: my I love I love stumbling upon old pack your

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Speaker 1: desk boxes that you have, like the one I found

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Speaker 1: from when I worked at Playboy, Like I threw away

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Speaker 1: because it gave me a panic attack. Yeah, like all

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Speaker 1: the to do lists and ship that I used to

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Speaker 1: like tape to the side of my fucking computer just

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Speaker 1: like came flying out like they were the Spirits and

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Speaker 1: Ghostbusters when like that ship when the spirit trapped gets opened, Yeah,

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Speaker 1: it was bad news gave. What's something you think is underrated?

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Speaker 1: I've been thinking about this a lot because I've been

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Speaker 1: trying to like give myself a nice routine in life.

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Speaker 1: And if I'm thriving, if I'm like firing at all cylinders.

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Speaker 1: I'm eating fruit every day and I'm talking about fruit

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Speaker 1: enough fresh fruit. Give me some fruit, man, all the time,

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Speaker 1: fire them off. I'm having bananas, I'm having blueberries today.

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Speaker 1: I just had some pineapple and uh oh, I'm crushing it.

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Speaker 1: Are here. I don't care all seasons. Who cares? Give

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Speaker 1: me more fruit? Feeling good? Yeah? Pineapple peak Pineapple when

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Speaker 1: it's like at its most ripe is my favorite fruit.

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Speaker 1: I think I don't even can we call that fruit?

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Speaker 1: It's so delicious, it's so so sweet. I'm like, there's

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Speaker 1: no fucking way that we can call this like a

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Speaker 1: healthy thing to eat. Because like I'm starting to see

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Speaker 1: like streaks of light in my like line of vision

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Speaker 1: from how sweet it is also my favorite like fake flavor,

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Speaker 1: like I think they've mostly nailed pineapple in like gum

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Speaker 1: and ship like that like that. It's it generally is fruit.

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Speaker 1: I guess there's not a lot of like pineapple candy,

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Speaker 1: but I do. Yeah, I do tend to enjoy a

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Speaker 1: lot of pineapp gum and pineapple flavored things. Blueberries year round.

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Speaker 1: They're they're never that bad. I agree. We've been talking

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Speaker 1: a lot about apples on this podcast, but I think

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Speaker 1: I think we should spend some time on bananas. Bananas

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Speaker 1: are fucking delicious, and don't like them. You don't like bananas,

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Speaker 1: I've we've talked about to make my throat. Oh yeah,

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Speaker 1: that's right, you have it might be allergic. Yeah, yeah, yeah, yeah,

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Speaker 1: that's that's right. Justin's allergic too. Yeah, but I eat.

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Speaker 1: But I have the same thing with avocados. It's like

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Speaker 1: those high potassium foods they like trigger little things in

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Speaker 1: my throat or like my lip. But avocados I fucking fight.

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Speaker 1: Oh my, I don't give a fuck. Those of us

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Speaker 1: who can enjoy them. Bananas are a real blessing, real. Yeah.

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Speaker 1: They made me think of tiger woods because it's like

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Speaker 1: a thing he'll eat right before he like wins a

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Speaker 1: golf tournament. What's he doing, He's like walking to the

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Speaker 1: last hole. He's just like pounding a banana. Like, Oh,

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Speaker 1: I guess that's what you're supposed to eat. Yeah. I

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Speaker 1: bring up my kids anytime we need to like give

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Speaker 1: them a snack. It's like the easiest thing. Like it's

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Speaker 1: it's so good. They're a fruit that is creamy, Like

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Speaker 1: there's not are there other fruits that are creamy? But

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Speaker 1: like if you're like doing a doing a smoothie, like,

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Speaker 1: they's such a good base that adds. It's like, would

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Speaker 1: you put like ice cream in this? No, just banana?

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Speaker 1: It's yeah, I guess guava is a good creamy replacement,

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Speaker 1: according to a super producer just m. But and I

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Speaker 1: heard people like the organic people, the people who like

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Speaker 1: like are worried about their food, which we just talked

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Speaker 1: a lot about Taco bell I can't imagine that's any

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Speaker 1: of us. But like the skin is super thick, so

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Speaker 1: like it's not one of those food like when you

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Speaker 1: need an apple, like the skin has just been like

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Speaker 1: rolling around in the truck for four years. But like

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Speaker 1: a bananas like protected. So it's it's a pretty safe

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Speaker 1: even for like the I mean, I get the organic,

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Speaker 1: I spend the twenty cents, but it's like an armadillo,

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Speaker 1: it's got a thick skin on it. You know, there's

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Speaker 1: nothing getting through there. Yet I am very suspicious of

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Speaker 1: the amount of like really glossy apple skins that I've consumed,

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Speaker 1: like that look like they were buffed out with like

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Speaker 1: car wax. It's like, come on, they shouldn't look that good,

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Speaker 1: but every day of the year they look the same.

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Speaker 1: It's wrong. They used to be food, used to Yeah, amazing.

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Speaker 1: All right, well, let's take a quick break and we'll

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Speaker 1: be right back to talk about some of the things

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Speaker 1: that are happening elsewhere in the world. And we're back

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Speaker 1: and yeah. Zero. So the thing that the way I

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Speaker 1: heard it was that China is seeing as largest protests

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Speaker 1: since Tiana Mint and it's protests to the zero COVID policies. Yeah,

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Speaker 1: that's one part of it, which is one part of it,

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Speaker 1: but there's all so another part that's kind of getting written,

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Speaker 1: many parts of it. Yeah, I think, I mean, obviously

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Speaker 1: the zero COVID has a lot to do with it,

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Speaker 1: and that extends into other things like labor specifically at

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Speaker 1: like factories that make app like iPhones or Tesla's um.

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Speaker 1: But you know, things came to a head, like the

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Speaker 1: zero COVID policy has been like a huge, huge, like

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Speaker 1: like fucked up experience for the people in China. Like

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Speaker 1: if you know anybody who's who lives out there and

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Speaker 1: has been like locked down, it's like, what you really

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Speaker 1: can't like even leave and like you can't even go outside.

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Speaker 1: They're like, no, you can. My spoiled ass thought that

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Speaker 1: they were like forcing them to wear masks like that.

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Speaker 1: That was myber Like I'm like, well, what would anger

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Speaker 1: Americans that much? Maybe masks? They're chaining them inside their

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Speaker 1: homes and places of work, right, So things came to

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Speaker 1: a head when this fire broke out in an apartment

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Speaker 1: building in the capital of the Shinjang province, which is

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Speaker 1: where like the mass surveillance and incarceration of Muslim minorities

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Speaker 1: like the eagers that's been it's worth taking place there.

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Speaker 1: Ten people died as a result of this fire, and

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Speaker 1: the fire was particularly horrifying because of these COVID lockdowns.

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Speaker 1: The firefighters weren't even able to get their trucks like

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Speaker 1: close enough to the buildings because of all the like

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Speaker 1: barricades that have been put up to keep people from

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Speaker 1: like leaving. And the videos are harrowing because you're seeing

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Speaker 1: like fire trucks where the water is barely like touching

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Speaker 1: the exterior of this flaming building, and you're hearing people

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Speaker 1: like like just like from the fire. Yeah, And it's

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Speaker 1: really and I think that kind of I think the

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Speaker 1: absurdity of all that just inspired many people to be

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Speaker 1: like this is like this is completely terrible. And what

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Speaker 1: we see now are these protests that have you know,

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Speaker 1: spread across the country where people like spontaneously and you're

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Speaker 1: seeing people doing like just holding up blank sheets of

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Speaker 1: white paper as a way to demonstrate while like navigating

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Speaker 1: like censorship laws and the big parts of it too

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Speaker 1: are like it's really there's so many dimensions to it,

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Speaker 1: but one dimension is, yes, the lockdowns, and they're not

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Speaker 1: like what we have in the U s where you

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Speaker 1: can still go out for necessary activity. And even then

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Speaker 1: the US like they're the enforcement was like really none.

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Speaker 1: It was like about whether or not you gave a

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Speaker 1: funk about yourself enough. In China, it's like unlike anything

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Speaker 1: else in the world like you're saying, Jack, Like in

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Speaker 1: some cases, people's doors are barred shut, the exits to

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Speaker 1: buildings are being chained up, so there's no escape. And

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Speaker 1: this has led to all kinds of problems, not just

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Speaker 1: like I can't get out of my house. It's like

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Speaker 1: I need dialysis and I can't get out of my house.

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Speaker 1: I need medical care and I can't get out of

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Speaker 1: my house. I'm not a you know, white collar tech worker,

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Speaker 1: so I can't even work because I can't leave the house.

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Speaker 1: And it's like going across different classes, ethnicities, and now

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Speaker 1: people are basically out here demonstrating, like you said, in

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Speaker 1: ways that you know. Certainly she Jimping has not seen

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Speaker 1: this in his ten years leader, but in decades since

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Speaker 1: Tandeman and the other part of it. The other part

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Speaker 1: of it too, in terms like the factories, is at

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Speaker 1: these factories like that makes iPhones and Tesla's, they have

402
00:22:05,840 --> 00:22:09,400
Speaker 1: something called closed loop management, is what happens when there's

403
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Speaker 1: like a COVID exposure and outbreak within like a factory.

404
00:22:12,960 --> 00:22:16,680
Speaker 1: This basically means the workers sleep at the factories and

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Speaker 1: do not leave until they deemed the outbreak to be

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Speaker 1: under control. Some workers have been sorry what what a

407
00:22:25,440 --> 00:22:29,000
Speaker 1: great like use of like corporate euphemistic like that, like

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00:22:29,400 --> 00:22:34,240
Speaker 1: corporate euphemism's greatest work is closed loop management. Yeah, as

409
00:22:34,320 --> 00:22:39,119
Speaker 1: a as a term for when human caging exactly it's

410
00:22:39,160 --> 00:22:42,040
Speaker 1: really actually locked the gates, is what it should be called.

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Speaker 1: And some workers were stuck at the factory for seventy

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Speaker 1: days and so this led to workers breaking down barricades,

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Speaker 1: literally running for the exits and clashing with police who

414
00:22:53,200 --> 00:22:56,640
Speaker 1: are like trying to keep them in. And again, most

415
00:22:56,680 --> 00:22:59,879
Speaker 1: of the reporting leaves out this element because again I

416
00:23:00,000 --> 00:23:03,080
Speaker 1: think it's easier just focused on like the draconian policy

417
00:23:03,160 --> 00:23:06,760
Speaker 1: of like zero COVID, but it does ignore how, like

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Speaker 1: the other dimensions that are leading people to get out

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Speaker 1: in the streets in ways that we certainly haven't seen.

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Speaker 1: And I think, you know, the the the other part

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Speaker 1: of it is like the people that are starting to

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00:23:19,480 --> 00:23:22,320
Speaker 1: push back, Like there there's a lot of writing about how,

423
00:23:22,600 --> 00:23:24,600
Speaker 1: especially a lot of like sort of middle class Chinese

424
00:23:24,640 --> 00:23:28,360
Speaker 1: people are beginning to like really understand just the unchecked

425
00:23:28,400 --> 00:23:30,520
Speaker 1: power of the state because this has been going on

426
00:23:30,680 --> 00:23:34,720
Speaker 1: for like three years now and without any sign of things,

427
00:23:35,040 --> 00:23:39,320
Speaker 1: you know, abating, and right now, like the government has

428
00:23:39,359 --> 00:23:41,280
Speaker 1: done things like all right, you know what will ease

429
00:23:41,440 --> 00:23:43,800
Speaker 1: some of the restrictions as a way to kind of

430
00:23:44,000 --> 00:23:47,400
Speaker 1: keep things from boiling over. They've even like sent college

431
00:23:47,560 --> 00:23:50,440
Speaker 1: students home early for their breaks because a lot of

432
00:23:50,520 --> 00:23:53,639
Speaker 1: the demonstrations are happening at universities, so they figure, oh,

433
00:23:53,640 --> 00:23:55,720
Speaker 1: if we send them home for break, they're less likely

434
00:23:55,760 --> 00:23:58,399
Speaker 1: to congregate and begin demonstrating again. So they're trying to

435
00:23:58,560 --> 00:24:02,520
Speaker 1: do these little things to bring the like sort of

436
00:24:02,640 --> 00:24:05,560
Speaker 1: temperature down. But it's clear that a lot of the

437
00:24:05,640 --> 00:24:08,120
Speaker 1: people are now sort of in this space where they're

438
00:24:08,200 --> 00:24:12,280
Speaker 1: absolutely unable to act like they can endure any of

439
00:24:12,359 --> 00:24:15,280
Speaker 1: this anymore. And that's what's and I think for the

440
00:24:15,320 --> 00:24:17,399
Speaker 1: people who are like saying like, oh, this could lead

441
00:24:17,400 --> 00:24:19,960
Speaker 1: to regime change, but let's let's not get ahead of

442
00:24:19,960 --> 00:24:23,160
Speaker 1: ourselves here, Like the China has quite literally been preparing

443
00:24:23,240 --> 00:24:26,000
Speaker 1: for mass demonstrations for decades, and just as a matter

444
00:24:26,040 --> 00:24:29,240
Speaker 1: of like policy, they there there's they know they have

445
00:24:29,359 --> 00:24:31,320
Speaker 1: to allow for a little bit of room for people

446
00:24:31,400 --> 00:24:34,159
Speaker 1: to just blow some steam off in order to try

447
00:24:34,240 --> 00:24:38,040
Speaker 1: and keep like stay stay in control. So it's, uh,

448
00:24:38,520 --> 00:24:41,040
Speaker 1: it's it's something that's really interesting to look at because

449
00:24:41,119 --> 00:24:43,320
Speaker 1: it's just like many other situations we've seen around the

450
00:24:43,400 --> 00:24:47,320
Speaker 1: world where these uprisings come out organically because of people's

451
00:24:47,359 --> 00:24:51,920
Speaker 1: inability to support themselves, the you know, overreach of the government,

452
00:24:52,400 --> 00:24:54,800
Speaker 1: and and then you end up with like this truly

453
00:24:55,440 --> 00:24:58,760
Speaker 1: like you know, far reaching group of people who are

454
00:24:59,040 --> 00:25:02,919
Speaker 1: like advocating for own well being. So yeah, so it's

455
00:25:02,920 --> 00:25:05,639
Speaker 1: a wild situation right there. Yeah, they I mean, the

456
00:25:06,000 --> 00:25:11,879
Speaker 1: the level to which they have like techno dictatorship is

457
00:25:12,320 --> 00:25:15,600
Speaker 1: just like that. My first thought when seeing the pictures

458
00:25:15,640 --> 00:25:20,720
Speaker 1: of the people protesting was just you know, admiration and

459
00:25:20,840 --> 00:25:22,680
Speaker 1: just being like kind of been awe of the bravery

460
00:25:22,800 --> 00:25:25,800
Speaker 1: because that's a place where people just disappear, like you

461
00:25:25,920 --> 00:25:31,240
Speaker 1: just get to jail for you know, saying anything for

462
00:25:31,560 --> 00:25:33,800
Speaker 1: like putting up a picture of Winnie the Pooh because

463
00:25:34,119 --> 00:25:37,080
Speaker 1: she jimping it thinks that Winnie the Pooh looks too

464
00:25:37,200 --> 00:25:40,240
Speaker 1: much like him, Yeah, or people insult him with that image.

465
00:25:40,320 --> 00:25:43,440
Speaker 1: But yeah, it's like, you know, I mean you look

466
00:25:43,440 --> 00:25:46,200
Speaker 1: at a lot of the other things that like you've seen,

467
00:25:46,200 --> 00:25:47,440
Speaker 1: I don't know if you've seen like footage of like

468
00:25:47,600 --> 00:25:51,080
Speaker 1: mash like drone spring of like chemicals to try and

469
00:25:51,119 --> 00:25:53,720
Speaker 1: like disinfect cities and like there is a lot of

470
00:25:54,280 --> 00:25:58,040
Speaker 1: technological know how going into this stuff. But I think,

471
00:25:58,560 --> 00:26:02,800
Speaker 1: you know, I around and I'm always hartened to see

472
00:26:02,840 --> 00:26:05,280
Speaker 1: even though obviously the circumstances in which people are like

473
00:26:05,400 --> 00:26:07,920
Speaker 1: sort of getting into in touch with like their outrage

474
00:26:08,040 --> 00:26:10,240
Speaker 1: or sense of what is owed to them. You know,

475
00:26:10,480 --> 00:26:13,119
Speaker 1: I just feel like it's we're like in this situation

476
00:26:13,240 --> 00:26:16,560
Speaker 1: where it's not just it's not just limited to one country,

477
00:26:16,720 --> 00:26:18,960
Speaker 1: where the situation is the same for many people. I

478
00:26:19,000 --> 00:26:21,160
Speaker 1: think many people can look at this and say, I'm

479
00:26:21,160 --> 00:26:22,919
Speaker 1: in a situation where I don't think my wages are

480
00:26:23,000 --> 00:26:25,240
Speaker 1: high enough and I feel like my labor is being exploited.

481
00:26:25,520 --> 00:26:28,000
Speaker 1: I also don't agree with like a lot of these

482
00:26:28,080 --> 00:26:31,480
Speaker 1: policies that are you know, supposedly meant to benefit like

483
00:26:31,640 --> 00:26:33,520
Speaker 1: myself or give me rights. In fact, I feel like

484
00:26:33,520 --> 00:26:37,119
Speaker 1: I have less rights, and like watching this evolve in

485
00:26:37,240 --> 00:26:40,800
Speaker 1: certain places just kind of it's in that moment, I mean,

486
00:26:40,880 --> 00:26:44,000
Speaker 1: the thing that it feels like, you know, protests and

487
00:26:44,680 --> 00:26:47,240
Speaker 1: you know, movements around the world have in common as

488
00:26:47,359 --> 00:26:50,760
Speaker 1: like human beings who are like being told by people

489
00:26:50,840 --> 00:26:56,399
Speaker 1: in power or the wealthy people in power. I guess that, like,

490
00:26:57,359 --> 00:26:59,399
Speaker 1: you know, it's not raining when it is raining or

491
00:26:59,560 --> 00:27:03,520
Speaker 1: you know, just like being told like that what you're

492
00:27:03,560 --> 00:27:07,240
Speaker 1: seeing happen. I'm like, what's evident to you is not happening.

493
00:27:07,520 --> 00:27:12,040
Speaker 1: And I do feel like that is increasingly hard, too

494
00:27:12,400 --> 00:27:16,480
Speaker 1: hard to manage when when people have the ability to

495
00:27:16,600 --> 00:27:19,680
Speaker 1: like kind of communicate with one another. But y and

496
00:27:20,080 --> 00:27:22,080
Speaker 1: and then all. I mean, in this case it's to

497
00:27:22,680 --> 00:27:26,199
Speaker 1: control COVID, but just caging human beings and making them

498
00:27:26,280 --> 00:27:30,280
Speaker 1: stay in a in a cage is a bad policy.

499
00:27:30,960 --> 00:27:34,440
Speaker 1: Maybe revisit that one. It reminded me of the World Cup.

500
00:27:34,720 --> 00:27:36,560
Speaker 1: What did you watch, like the stuff about like the

501
00:27:36,600 --> 00:27:39,080
Speaker 1: people who built the World Cup stadiums where it's like

502
00:27:39,200 --> 00:27:41,720
Speaker 1: that type of control over people. I'm like, oh, this

503
00:27:41,800 --> 00:27:44,399
Speaker 1: is a massive labor issue. And then what the Right

504
00:27:44,520 --> 00:27:47,480
Speaker 1: does in America is then they like point, They'll be like,

505
00:27:47,600 --> 00:27:49,840
Speaker 1: oh America is like the rail strike. Who cares about that?

506
00:27:50,040 --> 00:27:51,840
Speaker 1: Like look at the people in China and they like

507
00:27:51,920 --> 00:27:53,600
Speaker 1: bad faith read it and like no, no, you can

508
00:27:53,640 --> 00:27:56,960
Speaker 1: have solidarity for all people depending on what their situation is.

509
00:27:57,040 --> 00:28:00,680
Speaker 1: It's always such a that's like the Right America loves

510
00:28:00,760 --> 00:28:02,280
Speaker 1: to do that. We're like, oh, yeah, Lebron, do you

511
00:28:02,359 --> 00:28:04,320
Speaker 1: care about factory workers? In China. I'm like, do you

512
00:28:05,480 --> 00:28:09,720
Speaker 1: know you're writing this on your iPhone? Yeah? Yeah, that's stuff.

513
00:28:09,760 --> 00:28:13,359
Speaker 1: Oh my god, so infuriating. Yeah. Alright, Well, speaking of

514
00:28:14,000 --> 00:28:17,240
Speaker 1: kind of the mainstream culture in the United States, I

515
00:28:17,280 --> 00:28:19,960
Speaker 1: wanted to talk about just something. So there's this new

516
00:28:20,000 --> 00:28:22,879
Speaker 1: George Saunders book. George Saunders wrote Civil War, Land and

517
00:28:22,960 --> 00:28:25,840
Speaker 1: Bad Decline and Tenth of December, and it's like a

518
00:28:25,960 --> 00:28:29,560
Speaker 1: very lauded novelist and fiction writer. I think he won

519
00:28:29,800 --> 00:28:32,520
Speaker 1: the Award for Lincoln in the Bardo, which is I

520
00:28:32,680 --> 00:28:35,160
Speaker 1: was not able to write that because it just opens

521
00:28:35,280 --> 00:28:42,120
Speaker 1: with like all these wrenching passages about like child children dying,

522
00:28:42,440 --> 00:28:45,320
Speaker 1: and I just can't do that ship when I have children,

523
00:28:45,520 --> 00:28:48,280
Speaker 1: So I I couldn't make it through that one. Beautifully written,

524
00:28:48,320 --> 00:28:50,760
Speaker 1: and he's a he's a really good writer. I really

525
00:28:50,800 --> 00:28:53,080
Speaker 1: like Civil War, Land and Bad Decline. And he has

526
00:28:53,120 --> 00:28:57,200
Speaker 1: a new series of short stories coming out. It's his

527
00:28:57,320 --> 00:28:59,880
Speaker 1: first and nine years and it's like listening all these

528
00:29:00,160 --> 00:29:03,320
Speaker 1: interviews and media appearances and being heralded as like a

529
00:29:03,400 --> 00:29:08,960
Speaker 1: big moment in literature for serious people. But it's a

530
00:29:09,080 --> 00:29:14,440
Speaker 1: lot of the stories are grappling with America, like Trumpian America,

531
00:29:14,560 --> 00:29:17,960
Speaker 1: post Trump America, and it just seems to be a

532
00:29:18,160 --> 00:29:24,720
Speaker 1: subject that he's incapable of writing and thinking about in

533
00:29:24,840 --> 00:29:28,920
Speaker 1: a way that's like coherent and interesting. And I think

534
00:29:29,000 --> 00:29:32,040
Speaker 1: it's like the way that he's unable to do it

535
00:29:32,240 --> 00:29:35,720
Speaker 1: kind of solidifier, like crystallized some of the stuff that

536
00:29:35,840 --> 00:29:38,040
Speaker 1: I think we've seen over the past six years with

537
00:29:38,280 --> 00:29:42,120
Speaker 1: the way that the mainstream media and like mainstream culture

538
00:29:42,760 --> 00:29:45,560
Speaker 1: has had a hard time with it. And it kind

539
00:29:45,600 --> 00:29:49,640
Speaker 1: of comes back to this this central idea that he's

540
00:29:49,680 --> 00:29:52,400
Speaker 1: said a bunch of times. Like so he wrote he

541
00:29:52,560 --> 00:29:55,600
Speaker 1: wrote this piece in twenty seventeen for The New York

542
00:29:55,720 --> 00:29:57,680
Speaker 1: Or that was like he went to a couple of

543
00:29:57,720 --> 00:30:00,040
Speaker 1: Trump rallies and like just kind of wrote about what

544
00:30:00,120 --> 00:30:03,000
Speaker 1: he saw there. And I remember being very excited because

545
00:30:03,040 --> 00:30:04,240
Speaker 1: I was like, Wow, they got like one of the

546
00:30:04,320 --> 00:30:08,880
Speaker 1: best writers to write about, you know, this phenomenon that

547
00:30:08,920 --> 00:30:11,840
Speaker 1: we're seeing, Like Trump had just been inaugurated and was

548
00:30:11,920 --> 00:30:14,920
Speaker 1: still like doing all these rallies and people were just

549
00:30:15,040 --> 00:30:18,880
Speaker 1: screaming about like wanting to hang the media and you know,

550
00:30:19,040 --> 00:30:24,320
Speaker 1: just being overtly racist, and like his I remember like

551
00:30:24,440 --> 00:30:27,040
Speaker 1: it just being a fucking slug to get through and

552
00:30:27,440 --> 00:30:30,920
Speaker 1: also just like nothing that he said really sticking, and

553
00:30:31,400 --> 00:30:34,600
Speaker 1: it his central thesis seemed to be like this isn't America,

554
00:30:35,280 --> 00:30:39,240
Speaker 1: Like this is like America is a good place, and

555
00:30:39,600 --> 00:30:42,480
Speaker 1: Trump has come in from the outside, and is this

556
00:30:42,720 --> 00:30:48,440
Speaker 1: like foreign adjutant that has like caused people to forget

557
00:30:48,560 --> 00:30:53,200
Speaker 1: who they are. And I think that's also a good

558
00:30:53,280 --> 00:30:56,960
Speaker 1: summary of like kind of what I've seen in the

559
00:30:57,000 --> 00:30:59,800
Speaker 1: mainstream media at least like and that I was, you know,

560
00:31:00,000 --> 00:31:04,120
Speaker 1: and Trump was running for president. I was listening to

561
00:31:05,160 --> 00:31:08,880
Speaker 1: that podcast keeping it six hundred with that ended up.

562
00:31:08,880 --> 00:31:11,480
Speaker 1: It was like the proto Crooked Media podcast. It was

563
00:31:11,560 --> 00:31:14,560
Speaker 1: like the guys from the Obama administration and they were

564
00:31:14,720 --> 00:31:19,000
Speaker 1: talking to political consultants and they were they called people

565
00:31:19,040 --> 00:31:23,160
Speaker 1: who are worried Trump could win Bedwetters and just were like,

566
00:31:23,320 --> 00:31:26,000
Speaker 1: this guys, this is this is a joke. This guy's

567
00:31:26,200 --> 00:31:28,960
Speaker 1: this guy's an idiot. Nobody's going to vote for this idiot.

568
00:31:29,560 --> 00:31:31,760
Speaker 1: And since that time, you know, some of us have

569
00:31:31,840 --> 00:31:36,120
Speaker 1: recognized that there are major problems with America that are

570
00:31:36,800 --> 00:31:40,520
Speaker 1: going completely ignored and unaddressed by the mainstream media, and

571
00:31:40,680 --> 00:31:44,040
Speaker 1: that that's where that anger is coming from, and that's

572
00:31:44,080 --> 00:31:47,040
Speaker 1: why Trump should have been taken seriously, and that's where

573
00:31:47,160 --> 00:31:50,520
Speaker 1: he continues to be effective. Like I feel like this

574
00:31:50,680 --> 00:31:55,360
Speaker 1: is where you see the kind of just everybody keeps

575
00:31:55,360 --> 00:31:57,880
Speaker 1: going back to this idea that like, well, we're gonna

576
00:31:57,920 --> 00:32:00,520
Speaker 1: get him with this one statement and and it's gonna

577
00:32:00,560 --> 00:32:02,960
Speaker 1: be it's gonna be over for him, and you know

578
00:32:03,160 --> 00:32:06,360
Speaker 1: that then people will come out of their trance. And

579
00:32:07,200 --> 00:32:09,720
Speaker 1: you know, even even as like fascism has popped up

580
00:32:09,760 --> 00:32:12,320
Speaker 1: from our like most popular rapper at the time Trump

581
00:32:12,440 --> 00:32:16,680
Speaker 1: was elected and from their technocratic ubermanch who was like

582
00:32:16,800 --> 00:32:19,959
Speaker 1: supposed to solve the problems we were facing with climate

583
00:32:20,040 --> 00:32:23,240
Speaker 1: change by being like real world Tony Stark, Like that

584
00:32:23,360 --> 00:32:25,760
Speaker 1: guy's a fascist now and they're still in a world

585
00:32:25,840 --> 00:32:29,680
Speaker 1: where like these are isolated problems that were caused by

586
00:32:29,760 --> 00:32:34,440
Speaker 1: this Trump guy being being a real jerk. And like,

587
00:32:34,520 --> 00:32:37,000
Speaker 1: I keep thinking about Colbert and the fact that like

588
00:32:37,640 --> 00:32:40,560
Speaker 1: he went from during the Bush administration being like our

589
00:32:40,640 --> 00:32:44,680
Speaker 1: greatest satirist to being like a late night talk show

590
00:32:44,760 --> 00:32:47,480
Speaker 1: host whose best joke about Trump was like calling him

591
00:32:48,120 --> 00:32:50,640
Speaker 1: Putin's cock holster or like that was the one that

592
00:32:50,800 --> 00:32:55,120
Speaker 1: like most people were like, yeah, God, is that yeah?

593
00:32:56,080 --> 00:32:58,880
Speaker 1: And with what Yeah, So Jacobin did a good like

594
00:32:59,160 --> 00:33:01,680
Speaker 1: Jacobin reviewed his new series of short stories. I haven't

595
00:33:01,720 --> 00:33:05,000
Speaker 1: read them yet, but just in looking at them, it's

596
00:33:05,160 --> 00:33:11,160
Speaker 1: like it kind of encapsulates I think, what what the

597
00:33:11,440 --> 00:33:14,160
Speaker 1: issue is, and like how how they're seeing this issue

598
00:33:14,240 --> 00:33:16,320
Speaker 1: like they're One of his stories in his new book

599
00:33:16,480 --> 00:33:21,160
Speaker 1: is about a dystopian America where an elderly unhoused man

600
00:33:21,880 --> 00:33:25,880
Speaker 1: has been like brainwashed by the government into saying like

601
00:33:26,680 --> 00:33:32,640
Speaker 1: but like the brainwashed version of this guy is meant

602
00:33:32,720 --> 00:33:36,880
Speaker 1: to be a version of like a Trump supporter. It's

603
00:33:36,880 --> 00:33:40,880
Speaker 1: called Elliott Spencer. The story is, and he's like had

604
00:33:40,960 --> 00:33:45,200
Speaker 1: his mind wiped and been reprogrammed with simplistic talking points,

605
00:33:45,800 --> 00:33:48,960
Speaker 1: and you know, the Jack Ben writer kind of points

606
00:33:48,960 --> 00:33:55,160
Speaker 1: out that this it If the shouting rally goers are brainwashed,

607
00:33:55,240 --> 00:33:57,920
Speaker 1: then they don't really mean what they say. And that's

608
00:33:57,960 --> 00:33:59,800
Speaker 1: the thing he keeps coming back to, is like they

609
00:34:00,080 --> 00:34:02,880
Speaker 1: really mean that. Like in his New Yorker profile, he's like,

610
00:34:02,920 --> 00:34:06,400
Speaker 1: they Americans are good and they've just been corrupted by

611
00:34:06,480 --> 00:34:10,840
Speaker 1: this outside influence. And meanwhile, so like as I was

612
00:34:10,960 --> 00:34:17,440
Speaker 1: reading this summary of his piece about like brainwashed unhoused

613
00:34:17,560 --> 00:34:20,759
Speaker 1: man who has his mind wife, like meanwhile, in the

614
00:34:20,840 --> 00:34:22,960
Speaker 1: news that day, the New York Times reported on the

615
00:34:23,000 --> 00:34:26,680
Speaker 1: fact that there's a new law that says armed police

616
00:34:26,719 --> 00:34:29,560
Speaker 1: officers and the NYPD, who by the way, are very

617
00:34:29,600 --> 00:34:33,240
Speaker 1: fond of inadvertently in quotes, shooting and killing poor people,

618
00:34:33,560 --> 00:34:37,640
Speaker 1: can just determine someone is mentally ill, like they have

619
00:34:37,840 --> 00:34:40,839
Speaker 1: access to the precods and just cage them even if

620
00:34:40,880 --> 00:34:45,279
Speaker 1: they're not a danger. Just giving first of all, the

621
00:34:45,480 --> 00:34:48,080
Speaker 1: like granting oneself the power of foresight seems to be

622
00:34:48,560 --> 00:34:51,560
Speaker 1: a trend in this version of fascism. Like we were

623
00:34:51,560 --> 00:34:55,600
Speaker 1: talking about how effective altruism people are, Like what we

624
00:34:55,680 --> 00:34:58,320
Speaker 1: actually know what's going to be a problem in you know,

625
00:34:58,440 --> 00:35:00,800
Speaker 1: three thousand years, and that's what we're investing our money in,

626
00:35:00,880 --> 00:35:03,520
Speaker 1: and not climate change. But like the n YPD giving

627
00:35:03,560 --> 00:35:06,399
Speaker 1: themselves the power of foresight in order to allow them

628
00:35:06,480 --> 00:35:10,560
Speaker 1: to just claim whoever they want is mentally ill and

629
00:35:10,760 --> 00:35:15,040
Speaker 1: might later pose a danger and like cage them is

630
00:35:16,320 --> 00:35:20,320
Speaker 1: you know, it's a dystopian reality, Like why would you

631
00:35:20,440 --> 00:35:24,400
Speaker 1: need to create a dystopian reality in that just report

632
00:35:24,640 --> 00:35:28,279
Speaker 1: just describe our world at present? Yeah, and which I

633
00:35:28,360 --> 00:35:31,320
Speaker 1: don't know. I also was thinking about the John Millaney metaphor,

634
00:35:31,440 --> 00:35:33,360
Speaker 1: like the these are like things that stick out to

635
00:35:33,440 --> 00:35:37,840
Speaker 1: me from the like Trump administration and like the jokes

636
00:35:37,960 --> 00:35:40,120
Speaker 1: that people people were like, oh, comedies canna be so

637
00:35:40,239 --> 00:35:42,759
Speaker 1: good during the Trump administration, and like John Mullaney had

638
00:35:42,800 --> 00:35:45,520
Speaker 1: that one where he was like, Trump's like a horse

639
00:35:45,680 --> 00:35:48,560
Speaker 1: got it loose in a hospital. And in this case,

640
00:35:49,239 --> 00:35:52,480
Speaker 1: like America is supposed to be an orderly hospital and

641
00:35:52,560 --> 00:35:57,120
Speaker 1: Trump is like this outside chaotic agent. But I don't know,

642
00:35:57,120 --> 00:36:01,160
Speaker 1: I don't know. It was probably inadvertent, but came from

643
00:36:01,320 --> 00:36:04,279
Speaker 1: like his subconscious that it's interesting that he chose a

644
00:36:04,360 --> 00:36:08,200
Speaker 1: hospital because again, American hospitals don't actually take care of

645
00:36:08,320 --> 00:36:11,759
Speaker 1: you if you don't have a job. That I think

646
00:36:11,840 --> 00:36:14,520
Speaker 1: that's what it is. We're all about these concepts without

647
00:36:14,880 --> 00:36:18,239
Speaker 1: actually reckoning with what the realities are. You know, thinks

648
00:36:18,600 --> 00:36:21,839
Speaker 1: so much of his inability to like grapple with what's

649
00:36:21,880 --> 00:36:25,719
Speaker 1: happening is because he's firmly existing in this version of

650
00:36:25,800 --> 00:36:29,759
Speaker 1: America where he's like, yeah, bad stuff happened, but that's

651
00:36:29,920 --> 00:36:34,800
Speaker 1: over and it's not bad stuff is the fucking d

652
00:36:35,120 --> 00:36:38,720
Speaker 1: n A of this country. And because we haven't reckoned

653
00:36:38,760 --> 00:36:41,600
Speaker 1: with it, it's just gonna keep popping back up in

654
00:36:41,640 --> 00:36:44,520
Speaker 1: these weird ways because we've never reckoned with it so

655
00:36:45,440 --> 00:36:48,279
Speaker 1: that it's it. And I think that's why it's interesting too,

656
00:36:48,440 --> 00:36:52,279
Speaker 1: Like you were saying, is some people have figured out

657
00:36:52,360 --> 00:36:56,320
Speaker 1: for a while America's like, yeah, I've based on what

658
00:36:56,480 --> 00:36:59,360
Speaker 1: I've read, this place didn't sound great for people like me.

659
00:37:00,040 --> 00:37:04,239
Speaker 1: It's the onset, And then there are others who are

660
00:37:04,280 --> 00:37:06,920
Speaker 1: able to kind of just separate themselves from I think

661
00:37:07,000 --> 00:37:09,279
Speaker 1: like this happens in so many countries, especially ones that

662
00:37:09,400 --> 00:37:13,279
Speaker 1: started off as like violent, like like colonies. It's just

663
00:37:13,440 --> 00:37:16,000
Speaker 1: easier to like kind of forget that it's built on

664
00:37:16,120 --> 00:37:19,200
Speaker 1: these like really violent transgressions and to not reckon with

665
00:37:19,320 --> 00:37:22,359
Speaker 1: that and then like realize that it's like echoing into

666
00:37:22,400 --> 00:37:24,680
Speaker 1: the future. It's just I think it's a it's a

667
00:37:24,760 --> 00:37:28,200
Speaker 1: bit ignorant, Yeah, And it just it just seems like

668
00:37:28,320 --> 00:37:32,320
Speaker 1: any version of America that attempts to grapple with Trump

669
00:37:32,440 --> 00:37:35,920
Speaker 1: is m that doesn't take that into account, like is

670
00:37:36,600 --> 00:37:39,520
Speaker 1: just going to be perpetuating the problem, which is that

671
00:37:39,680 --> 00:37:41,839
Speaker 1: Trump and the far right are the only people who

672
00:37:41,880 --> 00:37:45,320
Speaker 1: are willing to acknowledge that the current system of corporate

673
00:37:45,440 --> 00:37:50,280
Speaker 1: rule and no healthcare don't work and aren't just or decent.

674
00:37:50,840 --> 00:37:54,920
Speaker 1: And they acknowledge that in the service of a grift.

675
00:37:55,239 --> 00:37:59,080
Speaker 1: But that makes sense because the only thing that you're

676
00:37:59,080 --> 00:38:02,840
Speaker 1: alive allowed to say and like gain traction with in

677
00:38:02,920 --> 00:38:06,359
Speaker 1: America is like whatever is going to make someone money,

678
00:38:06,560 --> 00:38:08,920
Speaker 1: and drifting makes people a lot of money, as we're

679
00:38:08,920 --> 00:38:13,120
Speaker 1: seeing with crypto, So like that's you know that they'll

680
00:38:13,160 --> 00:38:15,719
Speaker 1: allow it. The thing they won't allow is just like

681
00:38:16,239 --> 00:38:21,160
Speaker 1: criticism that gets it like the very foundation and acknowledges

682
00:38:21,280 --> 00:38:24,800
Speaker 1: that there are still these these massive fucking problems that

683
00:38:25,000 --> 00:38:28,440
Speaker 1: this is highlighting the fact that we've never really addressed

684
00:38:28,560 --> 00:38:33,040
Speaker 1: these problems. Yeah. The denial part though, too is like

685
00:38:33,160 --> 00:38:36,600
Speaker 1: away people absolve themselves from having to do anything too.

686
00:38:37,200 --> 00:38:40,000
Speaker 1: You know, if if George Saunders is like, if you

687
00:38:40,040 --> 00:38:43,040
Speaker 1: weren't for this Trump guy, we'd all be fine. That

688
00:38:43,160 --> 00:38:45,719
Speaker 1: just means the work is Trump just has to go.

689
00:38:45,920 --> 00:38:48,600
Speaker 1: That's the work in that scenario. The work is we

690
00:38:48,760 --> 00:38:51,680
Speaker 1: just don't need Trump when the work is we have

691
00:38:51,840 --> 00:38:55,359
Speaker 1: to actually all be like collectively moving in the same

692
00:38:55,440 --> 00:39:00,640
Speaker 1: direction for like the betterment of society and rappling with

693
00:39:00,719 --> 00:39:04,120
Speaker 1: these like really heavy topics and knowing like, well, what's

694
00:39:04,160 --> 00:39:08,360
Speaker 1: my what's my part in perpetuating this, uh any given

695
00:39:08,440 --> 00:39:11,440
Speaker 1: system of oppression? What's my part in that? Because if

696
00:39:11,480 --> 00:39:14,279
Speaker 1: I'm able to just say, these fucking Republicans, we then

697
00:39:14,320 --> 00:39:16,520
Speaker 1: guess what, I have no work to do because it's

698
00:39:16,560 --> 00:39:18,759
Speaker 1: all of them. And I think that's a really that's

699
00:39:18,800 --> 00:39:23,040
Speaker 1: a really dangerous like subconscious thing that Americans do to

700
00:39:23,120 --> 00:39:27,120
Speaker 1: themselves to like keep themselves from you know, putting in

701
00:39:27,440 --> 00:39:29,400
Speaker 1: or being a little more bringing a little more awareness

702
00:39:29,480 --> 00:39:33,040
Speaker 1: to the things that need work. But like that that

703
00:39:33,280 --> 00:39:36,200
Speaker 1: is where the you know that that's why we like

704
00:39:36,280 --> 00:39:39,480
Speaker 1: probably the number one subject on this podcast has become

705
00:39:39,560 --> 00:39:43,920
Speaker 1: like the mainstream media like myth and just like you know,

706
00:39:44,080 --> 00:39:48,160
Speaker 1: having the wool like pulling just covering ship up, like

707
00:39:48,280 --> 00:39:51,520
Speaker 1: the you know, George Saunders probably reads the New York

708
00:39:51,600 --> 00:39:54,680
Speaker 1: Times and like the New York Times the day of

709
00:39:54,800 --> 00:39:59,520
Speaker 1: that Eric Adams like new NYPD thing they their article

710
00:39:59,600 --> 00:40:02,400
Speaker 1: like doesn't talk about inequality or the real estate industry

711
00:40:02,480 --> 00:40:07,960
Speaker 1: causing homelessness. When they covered the this like new PRECOG program,

712
00:40:08,280 --> 00:40:11,240
Speaker 1: they treated as like, you know, it's a desperate solution

713
00:40:11,480 --> 00:40:15,400
Speaker 1: because homelessness is out of control, and you know, they

714
00:40:15,520 --> 00:40:19,640
Speaker 1: just ignore the structural causes. And so that's what it's

715
00:40:19,680 --> 00:40:23,800
Speaker 1: like that that feels like such a important and foundational

716
00:40:24,200 --> 00:40:29,280
Speaker 1: problem that is kind of going unaddressed because the mainstream

717
00:40:29,320 --> 00:40:32,719
Speaker 1: media is the mainstream media. But yeah, I don't know.

718
00:40:33,440 --> 00:40:35,200
Speaker 1: There's an op ed in the New York Times. I

719
00:40:35,320 --> 00:40:42,600
Speaker 1: know what white voters see in herschel locker. Yeah, yeah,

720
00:40:42,640 --> 00:40:44,480
Speaker 1: I think that's why podcast like this one are are

721
00:40:44,760 --> 00:40:46,359
Speaker 1: like important. I don want to blow too much smoke,

722
00:40:46,440 --> 00:40:48,120
Speaker 1: but it's like, oh, if the mainstream media is not

723
00:40:48,160 --> 00:40:49,960
Speaker 1: going to give us like the actual narrative about like

724
00:40:50,239 --> 00:40:52,640
Speaker 1: how the real stage, how the real estate business is

725
00:40:52,680 --> 00:40:55,360
Speaker 1: causing homelessness, we need to go to third party sites,

726
00:40:55,480 --> 00:40:57,680
Speaker 1: and we need to make the third party media, and

727
00:40:57,719 --> 00:40:59,120
Speaker 1: we need to make sure the third party media that

728
00:40:59,120 --> 00:41:01,400
Speaker 1: they're going to is like the world's dumbest people who

729
00:41:01,440 --> 00:41:05,640
Speaker 1: are fascists. It's like smart, empathetic people who like I

730
00:41:05,760 --> 00:41:08,600
Speaker 1: want to do the work. And with Trump stuff, it's like, oh,

731
00:41:08,680 --> 00:41:10,960
Speaker 1: if you for me, it's like, oh, the best way

732
00:41:11,000 --> 00:41:13,200
Speaker 1: to defeat Trump is to make the opposite side make

733
00:41:13,239 --> 00:41:15,799
Speaker 1: everyone's lives so much better that they look at Trump like, oh,

734
00:41:15,800 --> 00:41:17,800
Speaker 1: that guy's an idiot who never got did anything for me?

735
00:41:18,680 --> 00:41:21,719
Speaker 1: Offer me healthcare, offer me college. Like a guy worked

736
00:41:21,719 --> 00:41:23,520
Speaker 1: with I convinced him to be a Bernie Guy in

737
00:41:23,560 --> 00:41:25,360
Speaker 1: like twenty minutes. I was like, you got student that right,

738
00:41:25,360 --> 00:41:26,920
Speaker 1: and he's like yeah, And I was like, wouldn't it

739
00:41:26,920 --> 00:41:28,239
Speaker 1: be great if that were gone? He was like, that

740
00:41:28,280 --> 00:41:35,799
Speaker 1: would be sweet? How that happen? How could that happen? Yeah?

741
00:41:35,880 --> 00:41:39,680
Speaker 1: I know, I know, but yeah, give us make my

742
00:41:39,800 --> 00:41:43,080
Speaker 1: life better. It's it's that's and that's what's so fucked up, right,

743
00:41:43,200 --> 00:41:46,879
Speaker 1: is because you have one. The Democrats are like, oh, yeah,

744
00:41:47,040 --> 00:41:49,759
Speaker 1: we could make people's lives better, but they're making it

745
00:41:49,920 --> 00:41:51,960
Speaker 1: so easy for us to do. Funk. All that all

746
00:41:52,000 --> 00:41:54,200
Speaker 1: we have to do is being like, yo, can you

747
00:41:54,320 --> 00:41:58,440
Speaker 1: believe we had dinner with Oh my god, y'all, that

748
00:41:58,760 --> 00:42:01,960
Speaker 1: is a mess. Don't fucking ask about sick days if

749
00:42:02,000 --> 00:42:05,319
Speaker 1: you're fucking rail work, like rail worker, funk out of here.

750
00:42:05,600 --> 00:42:10,080
Speaker 1: They love the social the social issues they like that

751
00:42:10,160 --> 00:42:12,680
Speaker 1: aren't political, Like the Democrats are happy to talk about

752
00:42:12,760 --> 00:42:15,920
Speaker 1: Kanye or like Trump meeting with Nick Flentez or whatever.

753
00:42:16,160 --> 00:42:17,680
Speaker 1: They're happy to talk about that because it means they

754
00:42:17,719 --> 00:42:20,080
Speaker 1: have to talk about is you're totally right, don't do

755
00:42:20,200 --> 00:42:23,759
Speaker 1: the work. MPR this morning was talking about the rail

756
00:42:23,840 --> 00:42:26,560
Speaker 1: strike and just being you know, just being like and

757
00:42:27,239 --> 00:42:30,880
Speaker 1: they didn't dig into any like, didn't give any account

758
00:42:31,040 --> 00:42:33,960
Speaker 1: that like this might have fucked people over and made

759
00:42:34,000 --> 00:42:36,719
Speaker 1: it so that people, you know, workers can just be

760
00:42:36,880 --> 00:42:40,520
Speaker 1: railroaded going forward. They were just like and that was

761
00:42:40,640 --> 00:42:44,920
Speaker 1: their concern. This is moving forward to save America's economy.

762
00:42:45,560 --> 00:42:49,640
Speaker 1: Shame on and shame on every single fucker fucking Democrat

763
00:42:49,920 --> 00:42:53,280
Speaker 1: who have it did not fucking side with the workers

764
00:42:53,360 --> 00:42:55,120
Speaker 1: on this. I mean not that I expected them too,

765
00:42:55,200 --> 00:42:57,680
Speaker 1: but for all the fucking assholes who are like, oh,

766
00:42:57,760 --> 00:43:00,040
Speaker 1: I'm I'm about the workers and ship, it's like, know,

767
00:43:00,200 --> 00:43:01,960
Speaker 1: if you're just you're just doing the thing where you

768
00:43:02,080 --> 00:43:05,000
Speaker 1: become a loose collection of the right opinions during a

769
00:43:05,120 --> 00:43:08,400
Speaker 1: campaign and then just revert to your other ship. And

770
00:43:08,440 --> 00:43:11,240
Speaker 1: I'm not surprised, but like this felt. It just feels

771
00:43:11,239 --> 00:43:13,279
Speaker 1: like such an easy thing to do. But at the

772
00:43:13,360 --> 00:43:15,840
Speaker 1: end of the day, you forget that there's millions of

773
00:43:15,880 --> 00:43:18,000
Speaker 1: dollars being poured in on the other side by the

774
00:43:18,120 --> 00:43:21,239
Speaker 1: railroad companies to make sure that these people arrive at

775
00:43:21,280 --> 00:43:24,280
Speaker 1: that disipion, like they invest in this, that they're lobbying

776
00:43:24,360 --> 00:43:27,319
Speaker 1: as an investment for ship like this, and then when

777
00:43:27,400 --> 00:43:29,239
Speaker 1: it comes time like, hey man, remember we hooked you

778
00:43:29,239 --> 00:43:32,120
Speaker 1: all up, and they're like, yeah, yeah, the economy, thank

779
00:43:32,200 --> 00:43:34,640
Speaker 1: you all use that talking point to then say we

780
00:43:34,719 --> 00:43:38,200
Speaker 1: gotta worry about the economy, but then again contradicts all

781
00:43:38,239 --> 00:43:41,799
Speaker 1: this ship about the fucking essential workers like in the pants,

782
00:43:41,840 --> 00:43:44,520
Speaker 1: like they've started the pandemic. Like well, if these people

783
00:43:44,600 --> 00:43:47,920
Speaker 1: are so fucking essential that your whole thing is like

784
00:43:48,200 --> 00:43:51,920
Speaker 1: if they stop, let the lime go down, then motherfuck,

785
00:43:51,960 --> 00:43:58,800
Speaker 1: are you better get in your bag quick and cash days.

786
00:43:59,080 --> 00:44:02,600
Speaker 1: It's exactly yeah. And it's the other thing just about

787
00:44:02,640 --> 00:44:06,399
Speaker 1: the like this mainstream media sort of everything's cool here,

788
00:44:07,400 --> 00:44:12,640
Speaker 1: sort of central like gravitational like force that just that

789
00:44:12,920 --> 00:44:15,319
Speaker 1: that is the viewpoint and like you can get away

790
00:44:15,320 --> 00:44:17,439
Speaker 1: from that for a second, but it's gonna you're gonna

791
00:44:17,520 --> 00:44:20,680
Speaker 1: come back to that is like that is also going

792
00:44:20,800 --> 00:44:27,719
Speaker 1: to be ultimately the less. Like people want truth, like MSNBC, CNN,

793
00:44:27,880 --> 00:44:30,279
Speaker 1: like these places that are like, oh, we don't know

794
00:44:30,360 --> 00:44:32,719
Speaker 1: what to do. People are aren't watching us anymore, like

795
00:44:32,840 --> 00:44:35,800
Speaker 1: we don't you know, and like the newspaper industry is

796
00:44:35,920 --> 00:44:39,960
Speaker 1: and and like nope, it's like the truth is actively

797
00:44:40,040 --> 00:44:43,320
Speaker 1: being suppressed. You would you would think that somebody would

798
00:44:43,960 --> 00:44:47,960
Speaker 1: be like I have this crazy idea to make money

799
00:44:48,040 --> 00:44:50,399
Speaker 1: for us. What if we actually like, told the truth

800
00:44:50,680 --> 00:44:56,360
Speaker 1: about this and it's it's just wild that it's nobody's

801
00:44:56,520 --> 00:45:00,800
Speaker 1: doing that, and it feels like it's going to like that.

802
00:45:01,040 --> 00:45:04,839
Speaker 1: That should be because there is money to be made.

803
00:45:04,920 --> 00:45:07,160
Speaker 1: It should be a thing that America is capable of,

804
00:45:07,760 --> 00:45:10,680
Speaker 1: is at least telling the fucking truth about this, because

805
00:45:10,840 --> 00:45:12,879
Speaker 1: you can make money off of telling people the truth,

806
00:45:12,960 --> 00:45:16,239
Speaker 1: because people want to be told the truth. But there

807
00:45:16,280 --> 00:45:20,239
Speaker 1: are these structural things in place of the Washington Post

808
00:45:20,320 --> 00:45:23,720
Speaker 1: being owned by Jeff Bezos, for instance. Yeah, throw some smart,

809
00:45:23,800 --> 00:45:26,520
Speaker 1: funny leftists on those talk shows and they'll suddenly be

810
00:45:26,680 --> 00:45:29,759
Speaker 1: very watchable. If that just when we're on Crossfire and

811
00:45:29,840 --> 00:45:33,360
Speaker 1: be sweet. Yeah, they kick you off because you're like, dude,

812
00:45:33,520 --> 00:45:37,920
Speaker 1: go easy on Andrea Mitchell Man, Right, yeah, dude, she

813
00:45:38,120 --> 00:45:40,840
Speaker 1: just fucking said George Bush was cool? Are you like

814
00:45:40,960 --> 00:45:44,440
Speaker 1: what we're doing this? Right? All right, let's take a

815
00:45:44,560 --> 00:45:48,200
Speaker 1: quick break, we'll come back. We'll talk about pilk. I

816
00:45:48,280 --> 00:45:50,560
Speaker 1: guess is what it's called. The I feel like they

817
00:45:50,600 --> 00:46:05,239
Speaker 1: could have done better than that, and we're back. They

818
00:46:05,239 --> 00:46:14,280
Speaker 1: could have called a pep silk, PEPSI silk, Mepsi MILKSI milks. Yeah, milks,

819
00:46:14,320 --> 00:46:19,600
Speaker 1: he is cute. Pilk sounds sounds discussing. It sounds like

820
00:46:19,920 --> 00:46:23,360
Speaker 1: something Wayne and Garth would have like said for vomiting,

821
00:46:24,760 --> 00:46:32,080
Speaker 1: Like yeah, like dude, month about pil Anyways, Lindsay Lohan

822
00:46:32,760 --> 00:46:37,400
Speaker 1: someone in well while they were deciding to ignore, you know,

823
00:46:37,800 --> 00:46:41,480
Speaker 1: labor issues and like what what actually affects people's lives,

824
00:46:41,600 --> 00:46:46,279
Speaker 1: like the somewhere in the big boardrooms where all the

825
00:46:46,719 --> 00:46:50,480
Speaker 1: Ivy League graduates have like gone to work, they've decided

826
00:46:51,320 --> 00:46:57,680
Speaker 1: Christmas two is season. Oh Lohan? All right? Yeah. She

827
00:46:57,800 --> 00:47:02,840
Speaker 1: appeared in the Netflix Holiday movie, which Miles watched and

828
00:47:02,880 --> 00:47:05,200
Speaker 1: said it's his favorite movie of all time. Also shout out.

829
00:47:05,239 --> 00:47:07,400
Speaker 1: We had Zike Gang who wears crew on that film,

830
00:47:07,719 --> 00:47:12,520
Speaker 1: and they DM me some some ship. But I'm not

831
00:47:12,600 --> 00:47:14,960
Speaker 1: gonna I'm not violating not I don't want to violate

832
00:47:15,080 --> 00:47:17,360
Speaker 1: the trust. But I mean no, it wasn't like it

833
00:47:17,480 --> 00:47:20,040
Speaker 1: wasn't like anything right the world. But it's just more

834
00:47:20,120 --> 00:47:25,160
Speaker 1: like little things that I was like, Oh that's that's quirky. Yeah, well,

835
00:47:25,640 --> 00:47:29,359
Speaker 1: Zeke Gang, who work on things, let's yeah, we're we're

836
00:47:29,440 --> 00:47:31,879
Speaker 1: here for this. D m us with good stories from

837
00:47:31,920 --> 00:47:34,759
Speaker 1: behind the scenes of especially if you're working with, you know,

838
00:47:35,080 --> 00:47:37,839
Speaker 1: just the worst wealthy people. I want to know about

839
00:47:37,880 --> 00:47:42,200
Speaker 1: what the extremely wealthy do behind the scenes, and we

840
00:47:42,320 --> 00:47:46,120
Speaker 1: will quote you anonymously. But anyway, so she is the

841
00:47:46,200 --> 00:47:50,960
Speaker 1: official mascot for the holidays and for a new Pepsi

842
00:47:51,040 --> 00:47:54,880
Speaker 1: commercial which is advising everyone to drink pilk, which is

843
00:47:54,880 --> 00:48:00,560
Speaker 1: a combination of pepsi milk and giving up on just everything.

844
00:48:01,040 --> 00:48:04,040
Speaker 1: But she's also doing like TikTok videos that show people

845
00:48:04,120 --> 00:48:07,600
Speaker 1: how to make pilk. And then there's a commercial where

846
00:48:07,640 --> 00:48:10,000
Speaker 1: we see her living room and there's a glass of

847
00:48:10,120 --> 00:48:13,520
Speaker 1: milk and a plate of cookies and you know, left

848
00:48:13,560 --> 00:48:15,719
Speaker 1: out for Santa. But when Santa shows up, he adds

849
00:48:15,719 --> 00:48:18,479
Speaker 1: a can of pepsi to the milk to wash down

850
00:48:18,560 --> 00:48:21,800
Speaker 1: the presumably to wash down the caffeine pills that Nampheta

851
00:48:21,880 --> 00:48:24,000
Speaker 1: means that he has to do to just get through

852
00:48:24,120 --> 00:48:29,360
Speaker 1: the night. Can you imagine if you were somewhere and

853
00:48:29,520 --> 00:48:33,879
Speaker 1: saw someone just roll up with pepsi that they brought

854
00:48:34,000 --> 00:48:37,200
Speaker 1: with them and pour it in a milk like would

855
00:48:37,200 --> 00:48:43,680
Speaker 1: be like, yotus, give me a cup of milk with

856
00:48:43,920 --> 00:48:48,000
Speaker 1: room for pepsi. What Anyway, she sneaks in scarce Santa

857
00:48:48,239 --> 00:48:52,120
Speaker 1: he disappears, and then Lindsay Lohan drinks her pilk his

858
00:48:52,280 --> 00:48:56,000
Speaker 1: pilk actually and eats his cookies, which is fucked up,

859
00:48:56,440 --> 00:48:59,319
Speaker 1: but you know, we'll allow it. He drinks his pilk

860
00:48:59,400 --> 00:49:04,200
Speaker 1: and eats his cookies. Sounds like euphemistic, but leave. It's

861
00:49:04,239 --> 00:49:06,520
Speaker 1: just so weird this image though, by the way, like

862
00:49:06,600 --> 00:49:09,120
Speaker 1: this still it looks like they're trying to sell you

863
00:49:09,320 --> 00:49:12,879
Speaker 1: like a like a cold brew. Yeah. I was thinking

864
00:49:12,960 --> 00:49:15,080
Speaker 1: that floating down like that's what it because like it's

865
00:49:15,120 --> 00:49:18,520
Speaker 1: definitely they they topped it with milk to watch it

866
00:49:18,800 --> 00:49:21,800
Speaker 1: go down. I'm like, it's so in a way, I'm like,

867
00:49:22,080 --> 00:49:27,080
Speaker 1: I know a drink that looks like that that I like, yeah, clever. Yeah,

868
00:49:27,120 --> 00:49:29,400
Speaker 1: it looks like Guinness a little bit too, like with

869
00:49:29,600 --> 00:49:33,759
Speaker 1: the brown and the white kind of mixing. Also the

870
00:49:34,440 --> 00:49:36,480
Speaker 1: head or I guess. One of her viral videos, she

871
00:49:36,600 --> 00:49:39,960
Speaker 1: claims that it's adding a little naughty milk to the

872
00:49:40,120 --> 00:49:46,680
Speaker 1: nice Pepsi, which is like, you got exactly backwards, like, hey,

873
00:49:46,760 --> 00:49:48,359
Speaker 1: they don't see they don't want to brand their ship

874
00:49:48,440 --> 00:49:50,640
Speaker 1: as naughty. Probably you know somebody in the boards like, no,

875
00:49:50,880 --> 00:49:53,719
Speaker 1: you associate Pepsi with naughty? That was just se can

876
00:49:53,840 --> 00:49:56,440
Speaker 1: take where they were like, great work, Lindsay, we have

877
00:49:56,640 --> 00:50:00,640
Speaker 1: one note. Pepsi is actually the nice thing. Milk is

878
00:50:00,760 --> 00:50:08,200
Speaker 1: not milk is naturally occurring making a laugh. But a

879
00:50:08,280 --> 00:50:11,560
Speaker 1: lot of people you know, have been doing doing their

880
00:50:11,640 --> 00:50:15,160
Speaker 1: job as citizens of the Internet and trying pilk and

881
00:50:15,880 --> 00:50:19,400
Speaker 1: the raves are in and at best it is not

882
00:50:19,640 --> 00:50:23,040
Speaker 1: as disgusting as it sounds. That's a direct quote. At

883
00:50:23,080 --> 00:50:27,280
Speaker 1: worst people think it tastes like shit and smells like shoes.

884
00:50:28,040 --> 00:50:31,279
Speaker 1: So but this is actually pepsi. The attempt to catch

885
00:50:31,360 --> 00:50:35,040
Speaker 1: in on the dirty soda trend, which was a TikTok

886
00:50:35,120 --> 00:50:38,560
Speaker 1: this year, but actually began with the Church of Jesus

887
00:50:38,680 --> 00:50:42,759
Speaker 1: Christ of Latter day Saints in Utah because you know,

888
00:50:42,960 --> 00:50:47,399
Speaker 1: so many things are banned that the Mormons have been

889
00:50:47,800 --> 00:50:51,560
Speaker 1: just going wild with the sugary drinks and like coming

890
00:50:51,640 --> 00:50:55,040
Speaker 1: up with different combining dairy like cream or milk with

891
00:50:55,200 --> 00:51:01,400
Speaker 1: sodas and flavored syrup and sometimes fruit and stealing the

892
00:51:02,080 --> 00:51:04,480
Speaker 1: stealing the name of dirty sprite to be like this

893
00:51:05,080 --> 00:51:07,600
Speaker 1: we can get a little wild too. Yeah, I'm like,

894
00:51:07,760 --> 00:51:13,200
Speaker 1: you're not sip and from mathazine. Okay, that's fine, Yeah,

895
00:51:13,680 --> 00:51:17,600
Speaker 1: there's but it's like there are a thing in Utah

896
00:51:17,800 --> 00:51:20,960
Speaker 1: that we don't have here. But it actually sounds fine,

897
00:51:21,080 --> 00:51:26,560
Speaker 1: especially to someone who doesn't drink anymore. Called what they're

898
00:51:26,600 --> 00:51:29,400
Speaker 1: like soda, I mean soda shops which have been a

899
00:51:29,480 --> 00:51:32,160
Speaker 1: thing before, but like they're not they're not a growth

900
00:51:32,239 --> 00:51:35,720
Speaker 1: industry these days, I would say, but they're like there's

901
00:51:35,760 --> 00:51:39,240
Speaker 1: a whole like war between the leading soda shops between

902
00:51:39,360 --> 00:51:42,040
Speaker 1: Swig and So Delicious, because like one of them is

903
00:51:42,080 --> 00:51:45,480
Speaker 1: like we came up with dirty soda. You you copied

904
00:51:45,560 --> 00:51:48,000
Speaker 1: off of us, like one of their creations. I'm just

905
00:51:48,040 --> 00:51:53,360
Speaker 1: gonna describe it to you of sprite coconut creamer and

906
00:51:53,440 --> 00:51:58,279
Speaker 1: a healthy dose of watermelon strawberry coconut Terrani, Syra, Can

907
00:51:58,320 --> 00:52:05,560
Speaker 1: you like that sweet? Like it hurts my teeth to

908
00:52:05,760 --> 00:52:09,000
Speaker 1: even read that. One of my tooth, my teeth tooth

909
00:52:09,080 --> 00:52:14,520
Speaker 1: fell out hearing it. So forty four ounces, I remember

910
00:52:14,640 --> 00:52:17,399
Speaker 1: AMPM used to have a thing called the forty four

911
00:52:17,440 --> 00:52:19,640
Speaker 1: ounce or that was like a couple of mug you

912
00:52:19,680 --> 00:52:21,400
Speaker 1: could bring it for like truckers and you could just

913
00:52:21,440 --> 00:52:22,759
Speaker 1: fill that ship up all the time. I remember when

914
00:52:22,760 --> 00:52:24,040
Speaker 1: I saw one as a kid, like this ain't a

915
00:52:24,360 --> 00:52:27,360
Speaker 1: who's this four this amount of liquid then I started

916
00:52:27,520 --> 00:52:29,719
Speaker 1: partying and I was like, oh, a forty. So now

917
00:52:30,000 --> 00:52:32,760
Speaker 1: now we have the image of imagine drinking a fucking

918
00:52:32,920 --> 00:52:39,160
Speaker 1: forty plus four more ounces of all this ship and

919
00:52:39,360 --> 00:52:42,680
Speaker 1: the Tranti syrup from the fucking that's like that Barista

920
00:52:42,880 --> 00:52:46,160
Speaker 1: flavored syrup, right, yeah, the one that's like I want

921
00:52:46,200 --> 00:52:49,439
Speaker 1: four pumps. Yeah, yeah, it has like the cursive logo. Yeah.

922
00:52:49,840 --> 00:52:51,400
Speaker 1: We talked about food a lot at the beginning, and

923
00:52:51,440 --> 00:52:52,800
Speaker 1: I do love food, but I think it's because I

924
00:52:52,840 --> 00:52:55,440
Speaker 1: get like no calories from drinks, where I'm like, no, no, no,

925
00:52:55,480 --> 00:52:57,560
Speaker 1: I don't want to ruin my day. I want to

926
00:52:57,560 --> 00:53:00,799
Speaker 1: be able to eat later. Right, yeah, yeah, I think

927
00:53:00,840 --> 00:53:03,359
Speaker 1: a waste. That's the way it was supposed to be, too,

928
00:53:03,440 --> 00:53:05,600
Speaker 1: I mean, well, or at least it was for a

929
00:53:05,719 --> 00:53:10,520
Speaker 1: long time, right. It was water or like wine mixed

930
00:53:10,560 --> 00:53:13,520
Speaker 1: with water was like the only thing that anybody could drink.

931
00:53:14,000 --> 00:53:17,200
Speaker 1: And yeah, apparently pilk isn't a new thing. Pepsi and

932
00:53:17,239 --> 00:53:19,719
Speaker 1: milk was Penny Marshalls go to drink on Laverne and

933
00:53:19,840 --> 00:53:23,560
Speaker 1: Sureley and milk and coke was a viral trend back

934
00:53:23,600 --> 00:53:27,320
Speaker 1: in twenty nineteen. Like, I can imagine this not being terrible.

935
00:53:27,560 --> 00:53:29,600
Speaker 1: I guess we're gonna have to give it a shot

936
00:53:29,719 --> 00:53:31,840
Speaker 1: now that I've said that, or I will have to

937
00:53:31,920 --> 00:53:35,080
Speaker 1: give it a shot. But I didn't. I didn't know.

938
00:53:35,239 --> 00:53:37,960
Speaker 1: This is the first time it's crossing my desk. During

939
00:53:38,000 --> 00:53:40,520
Speaker 1: the lockdown, my sister brought home like a cold brew

940
00:53:40,760 --> 00:53:42,360
Speaker 1: but with like self ser in it, and it was like,

941
00:53:42,440 --> 00:53:45,440
Speaker 1: kind of like a bubbly Yeah, this is like the

942
00:53:45,520 --> 00:53:50,360
Speaker 1: bones of that kind of right right, Yeah, there's something

943
00:53:50,640 --> 00:53:53,839
Speaker 1: I was offered that recently too. They're like, oh, it's

944
00:53:53,880 --> 00:53:56,680
Speaker 1: like a fizzy cold brew. I was like, nah, good,

945
00:53:56,760 --> 00:53:58,600
Speaker 1: it just sounds like you're trying to cut out the

946
00:53:58,880 --> 00:54:01,640
Speaker 1: good ship, just kind of like with soda water. Give.

947
00:54:01,719 --> 00:54:04,439
Speaker 1: Did you grow up in New York Long Island? Yeah?

948
00:54:04,760 --> 00:54:08,120
Speaker 1: So did you? Did you grow up with egg creams? Oh? Yeah,

949
00:54:08,200 --> 00:54:11,160
Speaker 1: I love it. I get made fun of em. I

950
00:54:11,280 --> 00:54:13,759
Speaker 1: was gonna say that was my first my first I

951
00:54:13,800 --> 00:54:16,320
Speaker 1: was gonna say, my first interaction with something like pilk

952
00:54:16,520 --> 00:54:19,560
Speaker 1: is an egg cream, And I was so disappointed the

953
00:54:19,640 --> 00:54:22,080
Speaker 1: first time I had a egg cream. For people who

954
00:54:22,120 --> 00:54:25,280
Speaker 1: don't know what an egg cream is, it is chocolate

955
00:54:25,400 --> 00:54:28,879
Speaker 1: milk with seltzer, right, That's basically what it is. Milk

956
00:54:28,920 --> 00:54:34,279
Speaker 1: Seltzer and syrup. No, no milk, it's seltzer and there's

957
00:54:34,280 --> 00:54:36,000
Speaker 1: no milk and there's no cream. Or there's no egg

958
00:54:36,000 --> 00:54:39,840
Speaker 1: and there's no cream in it. It's selzer and chocolate syrup.

959
00:54:40,400 --> 00:54:43,640
Speaker 1: Oh really, yeah, I don't. Well, I've had them with

960
00:54:43,840 --> 00:54:47,759
Speaker 1: carbonated water for sure, because I think I remember. And milk.

961
00:54:47,800 --> 00:54:49,960
Speaker 1: I'm saying milk because there was like a bottled one

962
00:54:50,000 --> 00:54:52,120
Speaker 1: I remember I got from the store, like when I

963
00:54:52,239 --> 00:54:53,759
Speaker 1: was six years old. I remember I would get it

964
00:54:53,880 --> 00:54:56,239
Speaker 1: every time because I thought it would be better than that.

965
00:54:56,360 --> 00:54:59,879
Speaker 1: Subsequent time it was always the same shit. Oh yeah, milk,

966
00:55:00,160 --> 00:55:02,759
Speaker 1: milk too, yeah yeah. And the syra. Yeah, I guess

967
00:55:02,760 --> 00:55:05,200
Speaker 1: it's like an egg cream. You know why I watched

968
00:55:05,200 --> 00:55:07,240
Speaker 1: the West Wing because I used to be a regular

969
00:55:07,320 --> 00:55:11,000
Speaker 1: lib like everyone else, and they drink them on in

970
00:55:11,120 --> 00:55:13,400
Speaker 1: the West Wing. It's like a thing for not Toby,

971
00:55:13,560 --> 00:55:16,800
Speaker 1: but oh god, I can see his face, black Beard,

972
00:55:17,200 --> 00:55:19,120
Speaker 1: but he drinks them because he's from Brooklyn. I so

973
00:55:19,200 --> 00:55:22,719
Speaker 1: I started drinking them that way, Toby. Yeah, there you go.

974
00:55:23,520 --> 00:55:30,719
Speaker 1: Anyways on this one. On the pilk or moke kill

975
00:55:32,719 --> 00:55:35,759
Speaker 1: like either way, I guess they're both equally Like you're

976
00:55:35,840 --> 00:55:37,920
Speaker 1: you're you're playing god if you're if you're trying to

977
00:55:38,000 --> 00:55:41,360
Speaker 1: mix milk with coker pepsi, but the ratio has to

978
00:55:41,400 --> 00:55:45,320
Speaker 1: be right, because if you if the ratios offer it

979
00:55:45,400 --> 00:55:48,400
Speaker 1: sits too long, the acid from the soda curdles the milk,

980
00:55:48,880 --> 00:55:52,040
Speaker 1: and then the chunks sink to the bottom, turning the

981
00:55:52,200 --> 00:55:58,040
Speaker 1: drink as clear as crystal pepsi with brownish sludge at

982
00:55:58,080 --> 00:56:01,600
Speaker 1: the bottom. Wow, wait, what do you mean? It turns

983
00:56:01,680 --> 00:56:06,320
Speaker 1: the drink clear like it the attaches to like the

984
00:56:06,440 --> 00:56:11,240
Speaker 1: brown and then yeah, and then sounds yeah, it sounds

985
00:56:11,280 --> 00:56:13,640
Speaker 1: cool to watch. It does sound like something I don't

986
00:56:13,680 --> 00:56:16,880
Speaker 1: want to drink. You activated my twelve year old like

987
00:56:17,040 --> 00:56:20,239
Speaker 1: brain that it subsequently gets me my head ripped off

988
00:56:20,280 --> 00:56:22,640
Speaker 1: by my mom because what the are you doing in here?

989
00:56:22,640 --> 00:56:25,360
Speaker 1: I'm like, look, don't touch that, it's gonna go clear.

990
00:56:26,840 --> 00:56:28,800
Speaker 1: It sounds like something you should like light on fire

991
00:56:29,040 --> 00:56:32,600
Speaker 1: at that point, you know. Anyway, we'll try it. We'll

992
00:56:32,680 --> 00:56:35,520
Speaker 1: let you know what we think. Yeah, or let us know. Also,

993
00:56:35,600 --> 00:56:38,120
Speaker 1: I love here. Look dirty sodas. I know we have

994
00:56:38,600 --> 00:56:40,680
Speaker 1: is that gang out in Utah? Let us know your

995
00:56:40,719 --> 00:56:44,920
Speaker 1: safe favorite dirty sodas or other bizarre drink combinations. The

996
00:56:45,040 --> 00:56:47,719
Speaker 1: soda shop wards. Let us know who which side you've

997
00:56:47,800 --> 00:56:51,160
Speaker 1: chosen in the soda shop wards. If there's been any

998
00:56:51,239 --> 00:56:54,600
Speaker 1: flare ups, hopefully they'll get too violent. Alright, Well, gave

999
00:56:54,840 --> 00:56:57,960
Speaker 1: truly a pleasure having you on the daily Zaheist. Where

1000
00:56:59,200 --> 00:57:02,120
Speaker 1: where can people find you and follow you? Yeah? Instagram

1001
00:57:02,239 --> 00:57:03,839
Speaker 1: is like the main one. Um, that's how I'm doing

1002
00:57:03,880 --> 00:57:05,799
Speaker 1: most of my ads for this next like theater run

1003
00:57:06,280 --> 00:57:08,240
Speaker 1: and so we got six more weeks of theater shows

1004
00:57:08,480 --> 00:57:10,600
Speaker 1: and then I'm taking it on the road hopefully. Thanks

1005
00:57:10,680 --> 00:57:12,880
Speaker 1: keeping Well, I'm gonna do it in l A on

1006
00:57:13,040 --> 00:57:16,360
Speaker 1: jan I'm doing it in Rochester next week, so if

1007
00:57:16,400 --> 00:57:18,400
Speaker 1: you're around, come check it out. It's like a Barbiglia

1008
00:57:18,760 --> 00:57:20,680
Speaker 1: kind of hour. And I just hired. My director is

1009
00:57:20,680 --> 00:57:23,400
Speaker 1: Greg Wallack, who worked with Asa Minage on Homecoming King.

1010
00:57:23,480 --> 00:57:28,040
Speaker 1: They like worked on that together, amazing. Thank thank they

1011
00:57:28,120 --> 00:57:30,280
Speaker 1: don't forget about us. Man on your Way to the Top. Yeah,

1012
00:57:30,520 --> 00:57:32,320
Speaker 1: I have to. I'm gonna have to check that out

1013
00:57:32,360 --> 00:57:34,680
Speaker 1: when you're out out in l A. Oh. Yeah, coms

1014
00:57:34,720 --> 00:57:38,720
Speaker 1: for everybody. All you guys, is there a tweet or

1015
00:57:38,840 --> 00:57:42,880
Speaker 1: some other work of social media that you've been enjoying? Yes,

1016
00:57:43,120 --> 00:57:45,640
Speaker 1: I I read this yesterday and it really summed up

1017
00:57:45,760 --> 00:57:50,360
Speaker 1: the yesterday's News, which is print. It's by at Trevor Combo.

1018
00:57:51,040 --> 00:57:54,960
Speaker 1: Jared Binks wrote parentheses running for President, I love Hitler.

1019
00:57:55,080 --> 00:58:02,280
Speaker 1: My wife cheated on me so much. It's like, Wow,

1020
00:58:02,360 --> 00:58:04,120
Speaker 1: he's really going for it. That that's one way to

1021
00:58:04,160 --> 00:58:07,040
Speaker 1: get elected. Yeah, that that disc I love that tweet.

1022
00:58:07,080 --> 00:58:12,240
Speaker 1: That distillation was just so funny, the parenthetical running for President,

1023
00:58:13,440 --> 00:58:19,920
Speaker 1: I love ye ship. Miles. Where can people find you?

1024
00:58:20,040 --> 00:58:22,280
Speaker 1: What the tweet you've been enjoying? Man? You find me

1025
00:58:22,920 --> 00:58:29,520
Speaker 1: at Miles of Gray on Twitter, Instagram, Hive wherever find

1026
00:58:29,600 --> 00:58:32,720
Speaker 1: me there. Also find Jack and I on our basketball podcast,

1027
00:58:32,840 --> 00:58:36,439
Speaker 1: the Goofiest basketball podcast of them all. Miles and Jack

1028
00:58:36,520 --> 00:58:41,160
Speaker 1: got an official NBA product where Jack and I were

1029
00:58:41,200 --> 00:58:43,400
Speaker 1: in the eating yesterday and Jack was like, there's no

1030
00:58:43,560 --> 00:58:49,720
Speaker 1: way they don't regret doing but they don't. They love it, uh,

1031
00:58:50,040 --> 00:58:53,800
Speaker 1: And also find they love his folks. Also find me

1032
00:58:53,840 --> 00:58:56,560
Speaker 1: on four twenty Day Fiance with Sophia Alexandro where we

1033
00:58:56,600 --> 00:59:00,720
Speaker 1: talk about ninety day fiance. Some tweets at I like

1034
00:59:01,440 --> 00:59:04,400
Speaker 1: I did like the one of h them running for president?

1035
00:59:04,480 --> 00:59:07,400
Speaker 1: One hilarious. Oh another one This is just from Roy

1036
00:59:07,720 --> 00:59:11,959
Speaker 1: at roy Wood Jr. He just said, he said today

1037
00:59:11,960 --> 00:59:14,600
Speaker 1: had three meetings today. Nobody showed up her bared. Three

1038
00:59:14,680 --> 00:59:17,640
Speaker 1: got hauled off in the ambulance, sliced up, two started

1039
00:59:17,680 --> 00:59:21,520
Speaker 1: buttingam and one took his shirt off talking about Now,

1040
00:59:21,600 --> 00:59:25,920
Speaker 1: who else want to funk with? Hollywood Court. I always

1041
00:59:25,960 --> 00:59:28,680
Speaker 1: thought I thought his name and I thought it was

1042
00:59:28,760 --> 00:59:32,680
Speaker 1: Hollywood Coke. Yeah. I thought it was somebody saying their

1043
00:59:32,760 --> 00:59:34,800
Speaker 1: gangster name. And then someone was like, no, that's an

1044
00:59:34,800 --> 00:59:37,360
Speaker 1: actual project in Atlanta. Was like that, that makes the

1045
00:59:37,440 --> 00:59:39,880
Speaker 1: most sense. Thank you for putting me on. And another

1046
00:59:39,960 --> 00:59:43,400
Speaker 1: one from favorite of ours at Polaviganalan tweeted, what the

1047
00:59:43,480 --> 00:59:46,120
Speaker 1: funk our fancy hotels doing without a squatty potty? I'm

1048
00:59:46,120 --> 00:59:48,720
Speaker 1: not paying to use the business room, I'm paying to

1049
00:59:48,880 --> 00:59:52,840
Speaker 1: ship like a king. And I totally agree with that.

1050
00:59:53,080 --> 00:59:54,959
Speaker 1: And I was like, that's why I keep four phone books.

1051
00:59:55,200 --> 00:59:57,720
Speaker 1: Get it, hotels? What the do you ever improvise the

1052
00:59:57,720 --> 01:00:02,760
Speaker 1: squatty potty? Improvise us? Oh? Yeah? Where where? Like? Hey,

1053
01:00:02,800 --> 01:00:05,440
Speaker 1: you bring the suitcase in here? Yeah, they should have

1054
01:00:05,560 --> 01:00:07,840
Speaker 1: tushies in there too. I'm assuming it would be too

1055
01:00:07,880 --> 01:00:10,240
Speaker 1: hard to clean or something, but they should. They should

1056
01:00:10,240 --> 01:00:13,040
Speaker 1: have the whole all all the stuff that the Internet

1057
01:00:13,160 --> 01:00:16,520
Speaker 1: has discovered, and nose is better for going to the bathroom,

1058
01:00:16,640 --> 01:00:20,320
Speaker 1: like come on, come on, come on, hotels some tweets

1059
01:00:20,480 --> 01:00:24,600
Speaker 1: I've been enjoying Naomi tom Key. This is just straight

1060
01:00:24,640 --> 01:00:27,080
Speaker 1: up good advice. My top gift giving advice, and I'm

1061
01:00:27,120 --> 01:00:29,840
Speaker 1: good at gifts. And this is also something that I've

1062
01:00:29,840 --> 01:00:33,480
Speaker 1: always said, is to not give anything related to a

1063
01:00:33,600 --> 01:00:37,720
Speaker 1: person's main interests that's already a priority for them. They

1064
01:00:37,840 --> 01:00:41,440
Speaker 1: probably already know what they specifically want and or prioritize

1065
01:00:41,440 --> 01:00:44,080
Speaker 1: spending their own money on it. I think that's good.

1066
01:00:44,200 --> 01:00:47,960
Speaker 1: Like that is the number one. It's like, hey, you

1067
01:00:48,200 --> 01:00:52,160
Speaker 1: you like comedy, here's comedy book that you know, or like,

1068
01:00:52,360 --> 01:00:57,160
Speaker 1: hey you you're a writer, here's I don't know. Uh,

1069
01:00:57,600 --> 01:01:00,480
Speaker 1: it's it's just a funny like I don't And I

1070
01:01:00,560 --> 01:01:03,080
Speaker 1: find myself doing it too, where I'm like, you know,

1071
01:01:03,360 --> 01:01:06,920
Speaker 1: just going with the thing that would be of use

1072
01:01:07,000 --> 01:01:09,760
Speaker 1: to them. So just come up with something that you

1073
01:01:10,000 --> 01:01:12,360
Speaker 1: like that you think they would like, or you know,

1074
01:01:12,800 --> 01:01:15,720
Speaker 1: write what you know and gift what you know. I

1075
01:01:15,760 --> 01:01:19,600
Speaker 1: think it's generally good advice. Jamie Loftus tweeted a conversation

1076
01:01:19,720 --> 01:01:22,920
Speaker 1: with someone where the person wrote will you be my girlfriend?

1077
01:01:23,040 --> 01:01:25,640
Speaker 1: I have a car, I have a dog, two dog

1078
01:01:25,920 --> 01:01:29,800
Speaker 1: and she said I'm getting married most likely. And finally,

1079
01:01:30,040 --> 01:01:32,680
Speaker 1: in response to the news at the end of last week,

1080
01:01:33,440 --> 01:01:37,880
Speaker 1: Amy Lee Gemstone tweeted Kanye West told Alex Jones that

1081
01:01:38,320 --> 01:01:42,680
Speaker 1: I bite down on the capsule pain, then pressure. I'm free.

1082
01:01:43,200 --> 01:01:45,760
Speaker 1: I opened my eyes to the glory of an open field,

1083
01:01:46,080 --> 01:01:49,600
Speaker 1: aromatic herbs and wild flowers, a glow. My mother licks

1084
01:01:49,680 --> 01:01:51,800
Speaker 1: me clean and I bathe them my first dusk as

1085
01:01:51,840 --> 01:01:56,080
Speaker 1: a as a Shetland pony. That was a little bit

1086
01:01:56,120 --> 01:01:59,440
Speaker 1: how I was feeling. Appreciate it. You can find us

1087
01:01:59,520 --> 01:02:02,600
Speaker 1: on Twitter at daily Zeitgeist. We're at the Daily Zeitgeist

1088
01:02:02,680 --> 01:02:04,840
Speaker 1: on Instagram. We have a Facebook fan page and a

1089
01:02:04,920 --> 01:02:08,440
Speaker 1: website daily zeitgeist dot com, where we post our episodes

1090
01:02:08,520 --> 01:02:11,440
Speaker 1: and our foot notes when we link off the information

1091
01:02:11,480 --> 01:02:13,960
Speaker 1: that we talked about in today's episode, as well as

1092
01:02:14,000 --> 01:02:17,080
Speaker 1: the song that we think you might enjoy. Miles, what

1093
01:02:17,400 --> 01:02:19,600
Speaker 1: do we think people might enjoy it? Uh? This is

1094
01:02:19,640 --> 01:02:22,840
Speaker 1: a track from the artist one oak o a k

1095
01:02:23,120 --> 01:02:25,919
Speaker 1: It's like one hyphen o dot a dot k dot

1096
01:02:26,040 --> 01:02:28,800
Speaker 1: and it's called every Day. And when the song I

1097
01:02:28,960 --> 01:02:31,320
Speaker 1: was hearing it on the radio. When the song first started,

1098
01:02:31,360 --> 01:02:34,880
Speaker 1: I thought it was like a haunted like old Christmas song,

1099
01:02:35,000 --> 01:02:37,160
Speaker 1: Like there's like this old kind of chopped and screwed

1100
01:02:37,280 --> 01:02:40,280
Speaker 1: like vocalist thing happening. And then it turns into this

1101
01:02:40,440 --> 01:02:43,560
Speaker 1: like really dope, like modern R and B song. This artist,

1102
01:02:43,760 --> 01:02:47,280
Speaker 1: he's like a vocalist, producer, musician, so I'm pretty sure

1103
01:02:47,320 --> 01:02:49,560
Speaker 1: he produces all of his beats, which I always love

1104
01:02:49,800 --> 01:02:52,920
Speaker 1: like finding artists that are like from the top to bottom,

1105
01:02:53,040 --> 01:02:55,600
Speaker 1: like involved with every single aspect of their music making

1106
01:02:56,040 --> 01:02:58,760
Speaker 1: and like the production is really cool. And again, I

1107
01:02:58,880 --> 01:03:02,840
Speaker 1: like when people are saying I'm inspired by Stevie Wonder

1108
01:03:02,960 --> 01:03:06,720
Speaker 1: and the Neptunes, but I'm trying to take it to Oakland,

1109
01:03:07,440 --> 01:03:09,160
Speaker 1: which is what this artist is trying to do. So

1110
01:03:09,280 --> 01:03:12,919
Speaker 1: this is every Day by One Oak al Right, we'll

1111
01:03:13,000 --> 01:03:15,480
Speaker 1: go check that out. The Daily Zeitgeist is a production

1112
01:03:15,520 --> 01:03:17,840
Speaker 1: of I Heart Radio from more podcast from My Heart Radio,

1113
01:03:17,920 --> 01:03:20,360
Speaker 1: visit the I Heart Radio app, Apple podcast, or wherever

1114
01:03:20,440 --> 01:03:22,400
Speaker 1: you listen to your favorite shows. That's gonna do it

1115
01:03:22,440 --> 01:03:24,880
Speaker 1: for us this morning, back this afternoon to tell you

1116
01:03:25,000 --> 01:03:28,160
Speaker 1: what's trending and we'll touch you. Elvin. Bye bye,