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

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Speaker 1: of Daily Side Guys to production of My Heart Radio.

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

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

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Speaker 1: fuck the Koch Brothers, Fuck Fox News, Rush Limbaugh, fuck

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Speaker 1: Fux Sex and Shapiro, Fuck Tucker Carlson. Because we're brave.

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Speaker 1: That's why we say that. It's Wednesday, August. My name

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Speaker 1: is Jack O'Brien a k It's nine am on a

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Speaker 1: Wedness day. I put my earbuds in, Hello the Internet,

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Speaker 1: Fuck Fox News, the hosts, and the podcast and begins

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Speaker 1: and Jacoby's ranting about cold gas as Miles Gray slowly

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Speaker 1: gets stoned. Yes, they're sharing the dread of our hell escape,

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Speaker 1: but it's better than dreading a loan. That is courtesy

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Speaker 1: of the Way Way Back. And I am thrilled to

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

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Speaker 1: Kind of podcast in the City. Now I'm hosting from

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Speaker 1: home every night and day. Big Will keeps on turning,

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Speaker 1: Miles blunts keep on burning, rolling, rolling, rolling on my

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Speaker 1: weed up there no, no, no, no, I'm okay, thank

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Speaker 1: you too. Saltis Hannah Hannah Soltis hand aramic views from

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Speaker 1: the shout out to you, Ma, thank you for that

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Speaker 1: wonderful proud mary a game. Well, we are thrilled to

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

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Speaker 1: funniest stand up comedians working right now. He is the

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Speaker 1: hilarious the town to Yadoya traveler. What's going on? It's me,

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Speaker 1: you know, a K A young anime, a k A

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Speaker 1: old TikTok videos? Are you on TikTok? I'll put I

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Speaker 1: got one video on there. It got removed for for

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Speaker 1: violating community guidelines? Is that true? Yeah? Immediately what was

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Speaker 1: the community guideline? Um, I don't know. I think because

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Speaker 1: I hashtag. I think because I hashtag racism. And the

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Speaker 1: joke it was a joke. It was a joke where

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Speaker 1: I said, Um, if the N word with an A

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Speaker 1: is okay and with a hard R is not, then

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Speaker 1: how do British people know who's racist? And they took

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Speaker 1: that down. Wow, inquisitive nature not supported on TikTok exactly.

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Speaker 1: That they don't like hot takes on there, and they

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Speaker 1: do not like hot takes even though that take is

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Speaker 1: on milli rocking compilation videos. Please. Yeah, they just think

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Speaker 1: that anything. Hashtag racism was people just being like, hey,

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Speaker 1: this is this is race as them here and just

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Speaker 1: like hey, maybe then the hashtag. Uh well, you know,

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Speaker 1: I gotta say, man, for I have I'm such a

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Speaker 1: fan of you without you being on this show, and

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Speaker 1: I'm so cool to have you on the show. Finally,

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Speaker 1: I think for most most of the time, they hear

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Speaker 1: me calling out your tweets because I'm a regular admirer

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Speaker 1: of your Twitter work and comedic work. So yeah, I'm

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Speaker 1: it's nice to always have people that we get to

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Speaker 1: admire from a far come to the show. Yes, I appreciate.

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Speaker 1: I was sitting here this whole time. I'm like, y'all

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Speaker 1: shout shouting my tweets out all the time, and I'm

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Speaker 1: never on the show. What's going on? I think it's

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Speaker 1: because now, I think because like zoom, podcasting is so

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Speaker 1: normal now, it's like we're like, yeah, okay, you're in

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Speaker 1: New Zealand. Bet come on, you're in Western Europe, come

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Speaker 1: right on in New York. Not a problem. Yeah, they

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Speaker 1: don't know the power they've given us with this allegedly

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Speaker 1: fake right, so many happy returns, it's allegedly fake virus,

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Speaker 1: fake Uh you know, yeah, you're in uh in Brooklyn?

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Speaker 1: How how is quarantining in Brooklyn these days? You know what?

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Speaker 1: It's fine? Are you? Is it okay if I tell

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Speaker 1: people where you are? Oh yeah, that's fine. Somebody somebody

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Speaker 1: delivered food to my apartment and recognized me at the doors,

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Speaker 1: so I feel like my address is probably out there.

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Speaker 1: So from the away bag commercials, uh yeah, yeah, are

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Speaker 1: you the guy? Are you the luggage guy? Yeah? You real?

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Speaker 1: Was like, okay, you shouldn't be delivering this ship. Come on, man,

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Speaker 1: let me eat. Are there still fireworks going off at

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Speaker 1: all hours in Brooklyn? Yes? Well, actually no, but they're

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Speaker 1: still happening. It's not all day, but now it's like

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Speaker 1: at the perfect interval to scare the ship out of me.

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Speaker 1: Nice right. I heard exactly one pop the other day

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Speaker 1: and he just ruined my night. Yeah, man, just establish

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Speaker 1: a baseline of silence. IM neighborhood has not changed in

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Speaker 1: five years. Yeah. So, like, even when all this is

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Speaker 1: going on, I'm like, like, I think maybe they got

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Speaker 1: better fireworks, but I don't know. Like, like I said,

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Speaker 1: in this part of the valley, from December until December

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Speaker 1: twenty of the next year, basically just fireworks season, So

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Speaker 1: it's hard for me to tell anymore. And I've got

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Speaker 1: that one week off though. That's nice. Yeah, just you know,

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Speaker 1: just they got to keep something sacred they take, you know,

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Speaker 1: Christmas obviously, let's of course, you know, the birth of

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Speaker 1: our Savior with the family. Yeah, uh, all right, we're

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

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

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Speaker 1: of things we're talking about today. We're obviously going to

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Speaker 1: be talking about that fucking interview that the president did

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Speaker 1: with Jonathan Swan on Axios on HBO. Who just I mean,

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Speaker 1: it's just a real good just a good look for

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Speaker 1: him all around for the president, and just I don't know,

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Speaker 1: further underlines just how how bad things are, like when

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Speaker 1: you really watch someone debate, Like it's the first time

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Speaker 1: you kind of see some back and forth over like

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Speaker 1: that point a talking point, and how easily logic is abandoned.

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Speaker 1: It's so frightening. I thought it was a sketch. It

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Speaker 1: really like, Yo, these deep fakes are getting really good.

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Speaker 1: Yeah right, well yeah, we'll get into some of those

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Speaker 1: home Etceters. So the camera work really too, felt like

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Speaker 1: there was like some off the should like things weren't

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Speaker 1: on sticks anymore. We're like on the shoulder, cameraman like

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Speaker 1: quick just tightening in on the documents. That's just like

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Speaker 1: just really aggressive bar graph and he's like, there's your proof,

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Speaker 1: and he's like that were the worst And and the

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Speaker 1: graphs that he was using looked like some ship that

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Speaker 1: like my two year old would be using like in class.

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Speaker 1: It was just like very like just shapes with colors.

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Speaker 1: It was nothing the first give a way for me,

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Speaker 1: it was like, look, I took I took statistics, statistical

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Speaker 1: as I know when people are trying to lie to

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Speaker 1: you with graphs right right right, I know what that

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Speaker 1: looks like and what it sounds like. It was unbelievable.

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Speaker 1: All right, So we're gonna talk about that probably a

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Speaker 1: lot if we have time. We're gonna get to uh,

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Speaker 1: Trump's re election strategy now being to move up some debates,

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Speaker 1: get some debates going, uh, We're gonna talk about probably

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Speaker 1: why that's a good idea for him. We're gonna talk

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Speaker 1: about their vaccine strategy, why that's a bad thing for us.

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Speaker 1: Gateway Pundit is going full Q and on. It seems

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Speaker 1: like just defending its anti Semitism because they have a big,

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Speaker 1: big expose A they want people to know about Q

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Speaker 1: and On and I think we should sit on that

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Speaker 1: and not reveal that in the preview. But this, I mean,

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Speaker 1: if true from Gateway Pundit, then maybe we should all

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Speaker 1: be giving Q and On a second chance. I don't know,

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Speaker 1: we'll see. Yeah, So we're gonna look at Q and

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Speaker 1: On through the eyes of Gateway. Uh. We're gonna talk

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Speaker 1: about some some upcoming super spreader events that you can

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Speaker 1: put on your calendar and you know, start buying your tickets.

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Speaker 1: We'll talk about Men's Warehouse and Lord and Taylor and

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Speaker 1: just businesses that are going out of business and what

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Speaker 1: that means for the future of our lives in America. Uh.

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Speaker 1: But first you do we like to ask our guests,

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Speaker 1: what is something from your search history that is revealing

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Speaker 1: about who you are? Okay, so this is from the

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Speaker 1: past few days. I've I've dwelled on this. I've been

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Speaker 1: googling a lawn Musk's emerald mine. Yeah. Yeah, um, you know,

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Speaker 1: just trying to figure out how deep his his apartheid

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Speaker 1: roots go and you know where where, uh where he

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Speaker 1: really lies and is he the hero that we think

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Speaker 1: he is, or some people still think he is. What

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Speaker 1: did you what did you find with a cursory glance

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Speaker 1: at his upbringing? Well? I found, first of all that

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Speaker 1: his family had a fucking emerald mind. Yeah, it's like

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Speaker 1: what an antiquated jewel. First of all, even invested, like

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Speaker 1: I feel like diamonds, I can at least feel like, Okay,

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Speaker 1: they're from a modern Yeah, yeah, you will still buy

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Speaker 1: and wear diamonds obviously. Emeralds just seems so like so

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Speaker 1: deeply colonialist. Yeah, right, like what you're trying to make

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Speaker 1: your specter look good? You're whatever. It was really cool,

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Speaker 1: like it had it had a wave like in the nineties.

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Speaker 1: I feel like Sega games, you know, like the Emeralds

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Speaker 1: there due like it seems like hedgeho. Yeah, it would

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Speaker 1: be up to some ship like an emerald mind you

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Speaker 1: know yeah right, original original fanos. Right, there is a

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Speaker 1: shadow the Hedgehog. Yeah. What what was the thing jack

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Speaker 1: about him always having like literal like Emerald's in his pocket. Yeah.

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Speaker 1: There was like some interviewer profile of him where they

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Speaker 1: opened it talking about how he's like they're like, he's

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Speaker 1: a nineteen year old Elon Musk walking down the street

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Speaker 1: with like emeralds in his pocket because he has to

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Speaker 1: transfer some money or some ship. He just casually, he

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Speaker 1: casually sold a couple of emeralds to Tiffany's. Apparently you

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Speaker 1: can just do that some loose diamonds, just like, yeah,

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Speaker 1: you got an appointment, Now got some Lucy's on deck, though,

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Speaker 1: I'm sorry these loose emeralds. And I guarantee right before

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Speaker 1: that happened, a black person walked in and tried to

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Speaker 1: buy some emeralds and they were like, no, you can't

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Speaker 1: afford that. I feel like the only time I've seen

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Speaker 1: emeralds really like in pop culture other than Saga is

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Speaker 1: the end of Goonies when they like pull out all

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Speaker 1: those like pirate jewels and they're like a different colored

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Speaker 1: gems that I was always like, that just looks like

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Speaker 1: colored glass to me, Like that doesn't look like anything.

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Speaker 1: They're not even like that precious I mean, like granted

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Speaker 1: a precious stone, but like you know, in the scale

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Speaker 1: of things, I'm looking out what eight carrot one for

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Speaker 1: grand That's what it was not privileged growing it was

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Speaker 1: only an emerald mine. Yeah, I feel like you only

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Speaker 1: see emeralds like mixed in with a like a pile

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Speaker 1: of jewels, like they're never on their own. Like I

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Speaker 1: found like a stash of emeralds who wants who wants

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Speaker 1: some Emeralds who cares giving them a whole chest of jewls.

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Speaker 1: So I think we're just like so our generations subsequently

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Speaker 1: just don't give a funk about precious any bullsh like

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Speaker 1: gold or diamonds, So like Emeralds did whatever, Yeah the

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Speaker 1: I do wonder, Go ahead, I was gonna say, the

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Speaker 1: value of white people as a whole is fabricated, so

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Speaker 1: like the things they're trying to sell, who cares? Right,

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Speaker 1: And then now you got like lab diamonds and it's like,

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Speaker 1: shut the funk up. You can just make them without

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Speaker 1: enslaving African people and brutalizing them for centuries. Yeah the yeah,

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Speaker 1: I do wonder like that now that people can learn

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Speaker 1: about how, you know, diamond companies were keeping them artificially,

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Speaker 1: like artificial scarcity, and how it's all just this narrative

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Speaker 1: that was started by company in the forties. Like I

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Speaker 1: feel like the Internet might puncture the whole value of diamonds,

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Speaker 1: or at least it should if people are paying attention. Well, also,

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Speaker 1: like who has money? Who has money to be like, yeah,

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Speaker 1: here's an eighteen thousand dollar ring, I wear out somewhere,

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Speaker 1: Like that's just a level we have not known wealth

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Speaker 1: accumulation like that generationally. So that's such a foreign concept

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Speaker 1: that it's not even registering as like the thing I

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Speaker 1: want right now. It's like insurance. Yeah, I just got it,

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Speaker 1: and I feel like I'm done. Yeah, Like you're like, man,

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Speaker 1: I got an eighteen basically insurance hard in my poet, Yeah,

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Speaker 1: isn't it ironic that now that I have health insurance,

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Speaker 1: I feel like I can die right? It's so yes,

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Speaker 1: It's an interesting feeling, truly, I can die happy and

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Speaker 1: now I know now I won't burden my family anyway.

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Speaker 1: This is all to announce that I've written a pilot

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Speaker 1: called Alan's Emeralds. That were how we're posting on Twitter.

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Speaker 1: I love it, love it. What is something you think

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Speaker 1: is overrated? Um? Hard day's work? Mm hmmm, I feel

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Speaker 1: like you don't have to Who cares? Why is the

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Speaker 1: value of something that it's hard? You know, I make

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Speaker 1: more money now that I worked way harder for fifteen

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Speaker 1: dollars an hour than I do now for like several thousands,

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Speaker 1: So like, what are we really what are we really

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Speaker 1: teaching people by ship by telling them that it should

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Speaker 1: be hard for it to be meaningful and valuable. That's how,

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Speaker 1: you know, Yeah, that's how you create a good you know,

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Speaker 1: whole generations of workers that are willing. And yes, I've

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Speaker 1: accepted that life is unfair because of like this, you know,

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Speaker 1: not subtle, very overt indoctrination you receive. Yeah, it's about

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Speaker 1: hard work and blood, about hard work. It's about hard

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Speaker 1: work for a man who does not work hard, guy,

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Speaker 1: I should be bleeding and crying at my job at

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Speaker 1: the coach store. Yeah, okay, you want to sell sneakers?

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Speaker 1: Yeah exactly. We got this new fragrance out. You better

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Speaker 1: learn what the what a top note means and how

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Speaker 1: to sell that. And the end note is vanilla, not

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Speaker 1: the top note models and it is corrosive to poor skin.

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Speaker 1: Yeah right, so it can be used as a defense. Yeah,

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Speaker 1: what is something you think is underrated? Oh? At all

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Speaker 1: times anime and it's it's becoming it's becoming more more mainstream,

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Speaker 1: but it's not quite there yet. Shout out to Megan

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Speaker 1: the Stallion and Little Easy Vert for for changing the

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Speaker 1: reputation of anime blacks, but I feel like there's still

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Speaker 1: a lot of work to be done. Yeah, what is uh?

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Speaker 1: I mean, it's funny. I'm being half Japanese. I watched

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Speaker 1: so much anime as a kid, and I really I'm

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Speaker 1: like learned how to read Japanese and right from just

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Speaker 1: reading manga and stuff like that. And then I kind

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Speaker 1: of like as I got older, it was weird, like

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Speaker 1: the things Americans were like as anime I had seen

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Speaker 1: years previously, and I was like, this isn't cool. Like

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Speaker 1: I was like I was made fun of by my

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Speaker 1: cousins years ago for watching this, and now you want

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Speaker 1: me to fucking get down with Mighty morphin Power Rangers.

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Speaker 1: This ship used to be called Gordenger when I was

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Speaker 1: a kid, and so yeah, right exactly, And so I

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Speaker 1: mean it's just funny how like. But now I come

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Speaker 1: back and like I'm loving so much like modern anime.

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Speaker 1: Like back in the day, I was just pretty much

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Speaker 1: only watching like Cowboy, Bebop here and there mostly Rama.

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Speaker 1: I love Rama and Dragon Ball uh and like any

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Speaker 1: Toriyama stuff. Yeah, of course, um I read. I was

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Speaker 1: reading the Rama manga when I was a kid, and

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Speaker 1: I didn't even know it had an anime until like

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Speaker 1: a few years ago, right right, yeah, yeah, But I

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Speaker 1: grew up with all this stuff, and just like high

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Speaker 1: school and college, took took like an eight year hiatus

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Speaker 1: from watching because I thought all my friends were like

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Speaker 1: hated it, and then of course now I find out

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Speaker 1: they were all watching it in secret. Like I was, yeah,

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Speaker 1: what's for somebody who's not into anime? What's the what's

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Speaker 1: like the best anime gateway a drug? Like, what's the

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Speaker 1: what's the one to start him off on? I generally

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Speaker 1: like to recommend fully Coolly, which is six episodes and

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Speaker 1: it does not make sense, so you don't actually have

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Speaker 1: to Okay, it does make sense, but it doesn't make

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Speaker 1: sense on the first watch, so you don't actually have

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Speaker 1: to be that engaged. And it's just a lot of

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Speaker 1: cool action and animation. Um so it's just like a

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Speaker 1: nice little like intro piece that doesn't take up too

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Speaker 1: much of your time. So you can hate it or

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Speaker 1: you can not and just move on. M hmm, jack

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Speaker 1: you right, like Creon shin Chan. That's another one. That's

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Speaker 1: a great one, shin shanble. The funny part was I

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Speaker 1: don't know if They showed this in the U s version,

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Speaker 1: but in the Japanese version, he you know, Japanese people

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Speaker 1: aren't circumcised, so he would drawl and ears around his

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Speaker 1: shaft and ball sack and it would look like an

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Speaker 1: elephant and he will run around. He's like it's my

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Speaker 1: and he there's this song in Japanese called Zol Southning.

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Speaker 1: It's called zol sounds so not an you know, it's

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Speaker 1: like a like a nursery rhyme by the elephant says,

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Speaker 1: oh you got a long note, like elephant man and

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Speaker 1: Mr Elephant, you got a long note. And he would

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Speaker 1: sing that with his dick out with elephant ears like

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Speaker 1: scribbled in marker around his crotch, and I just remember

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Speaker 1: like thing. I was like, I wonder if that's going

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Speaker 1: to make that over here, because that's the thing Japanese

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Speaker 1: humor like it's sort of willing that flies over there.

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Speaker 1: But I'm not sure that made that to the old Yeah,

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Speaker 1: he's like eight years old. It's like this, he's like

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Speaker 1: this like a hair brained, you know, eight year old

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Speaker 1: kids just always getting into ship. And I remember I

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Speaker 1: got in trouble because I drew that ship when I

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Speaker 1: was a kid and I came out and like a

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Speaker 1: family gathering, and they didn't think it was that funny.

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Speaker 1: Oh you did that? Yeah, I mean that is dead on,

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Speaker 1: like children thing, nudity and their dicks are the funniest

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Speaker 1: things in the world. But the thing is they are

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Speaker 1: they are kids are kind of right on that. Yeah,

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Speaker 1: it's pretty funny. What is a what's a myth? What's

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Speaker 1: something people think it's true or something vice versa. Okay,

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Speaker 1: this might be controversial, but but I think a myth

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Speaker 1: is the fact that diversity or representation are the ways

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Speaker 1: to solve racial problems necessarily, And I think main evidence

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Speaker 1: of that is that Jeffrey Epstein's Island did not allow

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Speaker 1: black girls. What for real? Yeah? Yeah, I mean I noticed,

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Speaker 1: I noticed the aesthetic in a lot of the photos

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Speaker 1: that I saw, but there is a motif. Yeah. Yeah.

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Speaker 1: My wife is Korean. She just watched the Filthy Rich documentary.

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Speaker 1: She was like, he really had a type. I was

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Speaker 1: kind of glad that it wasn't a Korean girls. Yeah,

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Speaker 1: It's like, would diversity have made this whole situation better?

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Speaker 1: I don't think so, you know, sometimes Yeah, yeah, that

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Speaker 1: I think also the reason why a lot of people

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Speaker 1: think just inclusion or representation is like, the answer is

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Speaker 1: because you don't have to upend the systemic you know, yeah, absolutely,

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Speaker 1: the structures that maintain these these forms of oppression and

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Speaker 1: racist Okay, well, I'm not going to sort of look

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Speaker 1: into my pay scales and things like that and the

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Speaker 1: numbers of people I employ. But how about this, I

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Speaker 1: will green light three shows with black people, or how

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Speaker 1: I will hire one black p a right exactly works

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Speaker 1: in a different room from the one black writer, so

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Speaker 1: they never actually meet each other. Yeah. Yeah, that's always

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Speaker 1: funny when you like you're on a set and you

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Speaker 1: see the other black person. Oh yeah, well hold on,

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Speaker 1: hold on, hold on, stop, stop stop? How you doing? Cut? Cut? Yeah,

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Speaker 1: I'm like how you doing? Like, are you the director?

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Speaker 1: It's like no, I'm LaVar Burton's nephew. And I'm like

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Speaker 1: that's fair. Yeah, I'm just here visiting. Yeah, I'm like, okay, cool.

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Speaker 1: Are you liking it? He's like not for me, I'm

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Speaker 1: like fair, Yeah, I just feel like I've watched enough

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Speaker 1: anime that have like one black character, or I'm just

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Speaker 1: like he didn't need to be there more without him.

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Speaker 1: And also, Japanese culture has a very you know, fucked

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Speaker 1: up relationship with fetishizing blackness too. So it's it does

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Speaker 1: it's not a they're not gonna get the most even

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Speaker 1: handed representations. Yeah yeah, I've done videos on it, but

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Speaker 1: you know what, I don't think they're working. Yeah, yeah, no,

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Speaker 1: I mean it's it's hard. It's you know, an island

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Speaker 1: nation mentality, and people just have this thing you're like, well,

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Speaker 1: it's not violent racism. It's just just really it's just

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Speaker 1: violent other ring of people and being absolutely dismissive. I mean,

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Speaker 1: this happens with fog in general, especially if you have

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Speaker 1: something to say on societal issues in Japanese culture, where

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Speaker 1: if you have a platform and you say something, the

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Speaker 1: immediate things like, well, they're not Japanese, and you know,

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Speaker 1: thank you for even though this person was raised here

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Speaker 1: and speaks language and works here and knows that. They're

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Speaker 1: like but you know, but you know this steps every

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Speaker 1: everywhere you go, we gotta make steps, small strides. Yeah, right,

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Speaker 1: all right, guys, let's take a quick break and we'll

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Speaker 1: be right back. And we're back, And damn did you

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Speaker 1: see that explosion? And it was fucking horrific, Holy shit,

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Speaker 1: Fireworks Factory exploded in Beirut Lebanon and the videos people

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Speaker 1: were filming it because the plant was on fire, and

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Speaker 1: then when the thing explodes, a shock wave of travels

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Speaker 1: for like ten kilometers and it's like blowing of buildings,

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Speaker 1: it's blowing cell phones out of people's hands who are filming.

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Speaker 1: It's It's like, I can't imagine how triggering that would

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Speaker 1: be if you've actually been like downrange and you are

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Speaker 1: a combat veteran, because there's these moments where you see

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Speaker 1: something explode and you see the shock wave come and

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Speaker 1: you like, in a moment, I was like I would

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Speaker 1: have thought I was about to die if I saw that. Yeah,

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Speaker 1: this year feels like it's written by like a TV writer,

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Speaker 1: like so much sh it, like seeing the police hand

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Speaker 1: out fireworks to everybody and then they're just like blowing off,

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Speaker 1: making it sound like we're in the Middle East, and

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Speaker 1: then fireworks factory in the middle like it sounds. It

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Speaker 1: just feels like a Chekhov's gun type of thing. And

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Speaker 1: super producer Anna Hosnie just pointed out that a lot

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Speaker 1: of the people who live in Beirut already have PTSD

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Speaker 1: from combat that's just going on around them. Constantly Uh

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Speaker 1: just ambient war. It's fucked up, alright. But moving on

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Speaker 1: to a news story that seems like it was written

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Speaker 1: by a different type of TV writer. Uh this this

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Speaker 1: Trump interview um with Jonathan Swan, that is too dumb

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Speaker 1: for an episode of Veep. Like it's two on the nose,

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Speaker 1: transparently like stupid to be envying. Um. It has everything, Yeah,

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Speaker 1: it needs to be like a comedy. It has like

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Speaker 1: you feel like Jonathan Swans almost about to break the

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Speaker 1: fourth wall and look into camera and being like is

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Speaker 1: he for real? Right now? It has and take waving

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Speaker 1: of papers and like being like what are you showing me?

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Speaker 1: And like okay, like the faces alone are truly something else.

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Speaker 1: Trump starting to cut away to a confessional over the shot, right,

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Speaker 1: you're just starting I don't think so. Yeah, Like I've

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Speaker 1: I've normally interviewed the president, but this was particularly interesting.

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Speaker 1: There's this uh political cartoonist I forget who it is

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Speaker 1: who draws Trump as like a melting mound of pudding

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00:24:02,200 --> 00:24:06,359
Speaker 1: and like he's he's starting to like turn into that. Also,

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00:24:06,600 --> 00:24:10,399
Speaker 1: like he really is not good. That's the thing. It's like,

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Speaker 1: on one hand, you're like yeah, and then you're like,

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Speaker 1: jokes on me, you're the president, h on everybody else

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Speaker 1: who you're essentially, you know, letting all these people die

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Speaker 1: in the streets. Are not in the streets, but basically

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Speaker 1: letting people die without any proper attempt at correcting the

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Speaker 1: situation or containing it. But yeah, it's sad that it's

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Speaker 1: sad that the best we can hope for in this

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Speaker 1: election is uh, an entirely like ineffective president in Joe Biden,

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Speaker 1: like someone who isn't doing anything and just maintaining the

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Speaker 1: status quo, right as opposed to somebody who's actively trying

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Speaker 1: to be harmful. It's like he's not throwing their body

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Speaker 1: in front of people trying to put out the fire.

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Speaker 1: Who's just gonna like, yeah, what will allow people to

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Speaker 1: at least try to put out fires? But we'll, as

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Speaker 1: a good liberal wills comment on the fire and say

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Speaker 1: that's a fire. Oh yeah, that's a fac alright, I'm

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Speaker 1: gonna stick over here and let y'all do something. But

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Speaker 1: this interview, it, I mean, you know, Jack were saying

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Speaker 1: before Axios, they've done a really good job over the

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00:25:16,800 --> 00:25:20,200
Speaker 1: years of like threading this needle of like trying to

422
00:25:20,320 --> 00:25:23,399
Speaker 1: get be a little thorny at times, but mostly some

423
00:25:23,640 --> 00:25:27,560
Speaker 1: mostly being very accommodating to the administration in order to

424
00:25:27,680 --> 00:25:30,040
Speaker 1: get access. Like I think a lot of journalists like

425
00:25:30,320 --> 00:25:33,200
Speaker 1: they criticize axios, like dude's doing it for the exos.

426
00:25:33,520 --> 00:25:38,159
Speaker 1: But uh, this, this you wouldn't have expected this. I mean,

427
00:25:38,680 --> 00:25:40,800
Speaker 1: I've seen other interviews with Jonathan Swine. He's willing to

428
00:25:40,880 --> 00:25:43,639
Speaker 1: get uh you know, willing to confront the president on

429
00:25:43,680 --> 00:25:46,200
Speaker 1: certain things. But this this the energy and this really

430
00:25:46,240 --> 00:25:48,080
Speaker 1: felt like I'm fucking done with this ship, Like this

431
00:25:48,240 --> 00:25:49,760
Speaker 1: is just so bad. And like I don't know if

432
00:25:49,800 --> 00:25:51,520
Speaker 1: he was hearing some ship like next time you talk

433
00:25:51,600 --> 00:25:55,240
Speaker 1: to him, like make them sweat. But he had the

434
00:25:55,359 --> 00:25:57,240
Speaker 1: he had the whole His whole demeanor was like I'm

435
00:25:57,280 --> 00:25:59,159
Speaker 1: over this whole thing, and like I'm not gonna let

436
00:25:59,200 --> 00:26:01,639
Speaker 1: you just say some ship and we move on. Did

437
00:26:01,680 --> 00:26:04,359
Speaker 1: you know he's from New Jersey. That accent is just

438
00:26:10,680 --> 00:26:14,040
Speaker 1: believe you sucking this dude, Andy know has a fake

439
00:26:14,119 --> 00:26:20,280
Speaker 1: British accent. So the first first, let's talk about the content. Yeah,

440
00:26:20,480 --> 00:26:23,760
Speaker 1: the first clip I'll play We'll see how long we

441
00:26:23,840 --> 00:26:26,680
Speaker 1: can endure it. Um. But it's essentially this back and

442
00:26:26,840 --> 00:26:31,480
Speaker 1: forth of you know Jonathan Swan asking, hey, what's up

443
00:26:31,560 --> 00:26:34,840
Speaker 1: with these coronavirus death statistics? I mean, like, in terms

444
00:26:34,880 --> 00:26:38,160
Speaker 1: of a proportion of our population, we are doing terribly.

445
00:26:38,800 --> 00:26:41,520
Speaker 1: And then he Trump is arguing why that's not actually

446
00:26:41,600 --> 00:26:44,359
Speaker 1: a good way to measure the effectiveness isn't by counting

447
00:26:44,560 --> 00:26:47,520
Speaker 1: the dead that are piling up. It's to be like, well,

448
00:26:47,520 --> 00:26:49,399
Speaker 1: how many how many people who actually get it and

449
00:26:49,480 --> 00:26:53,359
Speaker 1: then hospitalized and then die? So this one and then

450
00:26:53,440 --> 00:26:56,160
Speaker 1: again Jonathan Swan, you can just hear it in his voice,

451
00:26:56,240 --> 00:26:57,879
Speaker 1: not really here for it. I'm gonna look at some

452
00:26:58,040 --> 00:27:00,920
Speaker 1: of these charts. I'd love to We're gonna look. Let's

453
00:27:00,920 --> 00:27:04,480
Speaker 1: look and if you look at death started to go

454
00:27:04,560 --> 00:27:09,359
Speaker 1: on this one, well, right here, the United States is

455
00:27:09,480 --> 00:27:16,760
Speaker 1: lowest in numerous categories. We're lower than the world, lower

456
00:27:16,840 --> 00:27:20,600
Speaker 1: and lower than Europe. And what look and what take

457
00:27:20,640 --> 00:27:23,560
Speaker 1: a look? Take a look. I don't know. Can you

458
00:27:23,680 --> 00:27:26,960
Speaker 1: tell me, oh, you're doing death is a proportion of cases.

459
00:27:27,000 --> 00:27:29,480
Speaker 1: I'm talking about, death is a proportion of population. That's

460
00:27:32,840 --> 00:27:35,280
Speaker 1: I just like where this is going on? Right He's like, Okay,

461
00:27:35,920 --> 00:27:38,520
Speaker 1: it's so patronizing. He's like, what do you have there?

462
00:27:39,280 --> 00:27:42,040
Speaker 1: And then the way he's like, oh, okay, so this

463
00:27:42,240 --> 00:27:44,680
Speaker 1: is a fake driver's license. It says you have this

464
00:27:44,800 --> 00:27:47,720
Speaker 1: is an area fifty one all access past. This isn't

465
00:27:47,760 --> 00:27:50,520
Speaker 1: a real documentation. It sounds like he's trying to get

466
00:27:50,520 --> 00:27:56,879
Speaker 1: his dad on the WiFi. Oh you were doing it? Okay, No, no, no,

467
00:27:57,040 --> 00:27:59,080
Speaker 1: that's not right at all. So yeah, you so your

468
00:27:59,119 --> 00:28:02,440
Speaker 1: motive isn't even on actually that so let's go back there, okay,

469
00:28:02,480 --> 00:28:04,880
Speaker 1: and they continues, So you can already begin to feel

470
00:28:04,920 --> 00:28:08,080
Speaker 1: he's already not really up, you know, with all this

471
00:28:08,200 --> 00:28:10,520
Speaker 1: sort of obfuscating that's going on. And just to say

472
00:28:10,560 --> 00:28:13,639
Speaker 1: the obvious, he's the reason that it doesn't matter the

473
00:28:13,920 --> 00:28:16,480
Speaker 1: proportion of death. That would be a commentary on like

474
00:28:16,800 --> 00:28:20,160
Speaker 1: how our medical staff is doing, not how like from

475
00:28:20,240 --> 00:28:25,480
Speaker 1: an epidemiological perspective we're controlling, and like he's doing his job.

476
00:28:26,000 --> 00:28:28,560
Speaker 1: All he's looking at is like the mortality rate, which

477
00:28:29,040 --> 00:28:32,600
Speaker 1: and it's has this number rather than like yeah, and

478
00:28:32,840 --> 00:28:35,200
Speaker 1: there are also plenty of people who get it without symptoms,

479
00:28:35,200 --> 00:28:38,160
Speaker 1: so are you counting them right? If they but if

480
00:28:38,160 --> 00:28:39,640
Speaker 1: they don't know, do you really have it? You know

481
00:28:39,680 --> 00:28:42,120
Speaker 1: what I mean? They said the number is like at

482
00:28:42,280 --> 00:28:45,400
Speaker 1: least New England Journal medicine, says the number of people

483
00:28:45,440 --> 00:28:48,840
Speaker 1: who have it is at least like six times higher. Right, Okay,

484
00:28:48,880 --> 00:28:52,000
Speaker 1: so let's continue. If it's a proportion of population, that's

485
00:28:52,040 --> 00:28:54,680
Speaker 1: why the US is really bad, well, much worse than

486
00:28:54,760 --> 00:28:57,280
Speaker 1: South Korea, Germany, et cetera. Can't you can't do that.

487
00:28:57,440 --> 00:29:00,440
Speaker 1: You have and you have to go by you have

488
00:29:00,600 --> 00:29:03,680
Speaker 1: to go by where Look, here is the United States.

489
00:29:04,000 --> 00:29:06,080
Speaker 1: You have to go by the cases, the cases. Why

490
00:29:06,120 --> 00:29:09,320
Speaker 1: not as a proportional somebody. What it says is when

491
00:29:09,400 --> 00:29:13,360
Speaker 1: you have somebody that has where there's a case the people,

492
00:29:13,480 --> 00:29:18,520
Speaker 1: that surely irrelevant statistic to say if the US has

493
00:29:18,680 --> 00:29:22,600
Speaker 1: ex population and x percentage of death of that populations

494
00:29:23,360 --> 00:29:25,360
Speaker 1: by the cases. We look at South Korea, for example,

495
00:29:25,440 --> 00:29:29,680
Speaker 1: fifty one million population, three deaths, It's like, are you crazy?

496
00:29:31,400 --> 00:29:34,880
Speaker 1: Don't you think they're faking their statistics South Korea and

497
00:29:35,880 --> 00:29:38,280
Speaker 1: does have a very good relationship with the country. But

498
00:29:38,440 --> 00:29:41,480
Speaker 1: you don't know that. I'll just I'm just stop the

499
00:29:41,560 --> 00:29:45,600
Speaker 1: whole thing. He's so desperate. He doesn't know you. It's

500
00:29:45,800 --> 00:29:48,560
Speaker 1: you can tell though, too. Trump isn't used to a

501
00:29:48,720 --> 00:29:52,320
Speaker 1: rebuttal to anything he says or any pushback, so the

502
00:29:52,440 --> 00:29:56,040
Speaker 1: second he's forcefully, Like when he's like, you can't do that,

503
00:29:56,040 --> 00:29:58,360
Speaker 1: and john N's like, why can't I do that? He's like,

504
00:30:00,640 --> 00:30:04,840
Speaker 1: because hold on, I mean just kids waving papers around,

505
00:30:06,560 --> 00:30:10,360
Speaker 1: not this one. And it's really it's I don't know.

506
00:30:10,960 --> 00:30:16,080
Speaker 1: He's like confused. He's almost like, but this paper, it's

507
00:30:16,160 --> 00:30:20,480
Speaker 1: like they only gave him enough information to like effectively

508
00:30:20,880 --> 00:30:25,800
Speaker 1: lie unobstructed, right, Like he's like, they're so clearly trying

509
00:30:25,840 --> 00:30:28,720
Speaker 1: to manipulate the stats, but like he doesn't actually know

510
00:30:29,240 --> 00:30:32,880
Speaker 1: how he's doing it, you know, and it doesn't he

511
00:30:32,920 --> 00:30:34,920
Speaker 1: knows how to like he doesn't know how to carefully

512
00:30:35,200 --> 00:30:38,720
Speaker 1: even present the data point to like help his sort

513
00:30:38,720 --> 00:30:40,560
Speaker 1: of narrative. It's just like, I don't know, I just

514
00:30:40,600 --> 00:30:43,120
Speaker 1: say that. Yeah. It feels like when I tell my

515
00:30:43,520 --> 00:30:46,600
Speaker 1: mom that, like you can't do something on the computer,

516
00:30:46,760 --> 00:30:49,560
Speaker 1: and she's just like she doesn't understand technology to the

517
00:30:49,960 --> 00:30:52,880
Speaker 1: to actually refute it, so she's like, but you can

518
00:30:53,840 --> 00:30:57,520
Speaker 1: you can't do that. I mean, oh, so now you're

519
00:30:57,560 --> 00:31:00,800
Speaker 1: confusing with what is actually capable with your computer and

520
00:31:01,000 --> 00:31:04,280
Speaker 1: what your will as a human being is. You have

521
00:31:04,440 --> 00:31:06,719
Speaker 1: the will to do that, but the object you are

522
00:31:06,760 --> 00:31:10,600
Speaker 1: interacting with is not capable of like you don't have

523
00:31:10,800 --> 00:31:12,960
Speaker 1: the right you don't have the right hardware, you can't

524
00:31:12,960 --> 00:31:16,640
Speaker 1: do it. I'm sorry. I do feel like this exposes

525
00:31:17,080 --> 00:31:20,920
Speaker 1: like he he seems genuinely confused by Like I I

526
00:31:21,320 --> 00:31:25,120
Speaker 1: really think the people around him are keeping him from

527
00:31:25,200 --> 00:31:29,440
Speaker 1: the truth because they he's so uh, you know, just

528
00:31:29,720 --> 00:31:34,600
Speaker 1: chaotic and bad at his job that people are keeping

529
00:31:34,720 --> 00:31:37,800
Speaker 1: him from like paying attention. They're just trying to give

530
00:31:37,880 --> 00:31:40,760
Speaker 1: him the version of the facts that will allow him

531
00:31:40,840 --> 00:31:43,880
Speaker 1: to step step back and feel like they've got it

532
00:31:44,040 --> 00:31:48,200
Speaker 1: under control. So that's why he's right, like I feel like,

533
00:31:49,280 --> 00:31:54,160
Speaker 1: but my employees, they say, this is why having a

534
00:31:54,320 --> 00:31:59,560
Speaker 1: celebrity is as a president is really bad because celebrities.

535
00:31:59,600 --> 00:32:02,160
Speaker 1: People are around celebrities just tell them whatever they think

536
00:32:02,240 --> 00:32:04,800
Speaker 1: they want to hear. And I feel like that is

537
00:32:04,880 --> 00:32:07,520
Speaker 1: at least partially what's going on here. I mean, in

538
00:32:07,600 --> 00:32:10,560
Speaker 1: all fairness, the same thing happens in d C. It's

539
00:32:10,600 --> 00:32:13,320
Speaker 1: just as the saying goes, it's is Hollywood for ugly people,

540
00:32:13,480 --> 00:32:15,920
Speaker 1: the same sort of amount of I mean, granted, there

541
00:32:15,960 --> 00:32:18,720
Speaker 1: are academics there who's whose purpose is to know it,

542
00:32:18,800 --> 00:32:21,640
Speaker 1: but there's also a lot of like ship like let's

543
00:32:21,680 --> 00:32:26,680
Speaker 1: not let's not upset our our dinosaur. Yeah. So the

544
00:32:26,800 --> 00:32:29,320
Speaker 1: next thing, um, you know, wouldn't be a Trump interview

545
00:32:29,400 --> 00:32:33,040
Speaker 1: with us some good old fashioned white supremacy. Um. You know.

546
00:32:33,120 --> 00:32:38,640
Speaker 1: Jonathan Swan asked about John Lewis, uh, and just saying you,

547
00:32:39,280 --> 00:32:43,320
Speaker 1: I guess for starters, you are aware who that man is, um,

548
00:32:43,560 --> 00:32:48,720
Speaker 1: and immediately Trump, I'll just listen to this. John Lewis

549
00:32:48,880 --> 00:32:51,160
Speaker 1: is lying in state in the US Capitol. How do

550
00:32:51,240 --> 00:32:53,800
Speaker 1: you think history will remember John Lewis? I don't know.

551
00:32:54,080 --> 00:32:56,880
Speaker 1: I really don't know. I don't know. I don't know

552
00:32:57,040 --> 00:33:01,400
Speaker 1: John Lewis. He chose not to come to my uh inauguration.

553
00:33:02,200 --> 00:33:05,680
Speaker 1: He chose I don't I never met you. Was actually

554
00:33:05,760 --> 00:33:10,040
Speaker 1: I don't believe. Okay. So he starts off by basically

555
00:33:10,200 --> 00:33:13,440
Speaker 1: Mariah Carey. I don't know, I don't know her, um,

556
00:33:13,800 --> 00:33:16,360
Speaker 1: but but you do know that he didn't come to

557
00:33:16,440 --> 00:33:19,840
Speaker 1: your birthday party. But you remember that part. Uh. And

558
00:33:20,080 --> 00:33:23,560
Speaker 1: so he's already, like I feel like most people he listened,

559
00:33:23,560 --> 00:33:26,160
Speaker 1: He's like, oh, ship, where's this going? Uh? And so

560
00:33:26,320 --> 00:33:29,400
Speaker 1: Swan follows up just to try and hear more of

561
00:33:29,480 --> 00:33:34,840
Speaker 1: his thoughts on the late congressman. Do you find him impressive? Uh?

562
00:33:36,200 --> 00:33:37,720
Speaker 1: I can't say one way or the other. I find

563
00:33:37,720 --> 00:33:40,320
Speaker 1: a lot of people impressive. I find many people not impressive.

564
00:33:40,360 --> 00:33:43,280
Speaker 1: But but I didn't find his story impression. He didn't

565
00:33:43,320 --> 00:33:46,160
Speaker 1: come to my inauguration, he didn't come to my Stay

566
00:33:46,240 --> 00:33:48,680
Speaker 1: of the Union speeches. And that's okay, that's his right.

567
00:33:49,360 --> 00:33:53,560
Speaker 1: And again, nobody has done more for back to the

568
00:33:53,600 --> 00:33:56,040
Speaker 1: Americans than I had understand he should have come. But

569
00:33:56,160 --> 00:33:59,280
Speaker 1: I think he made a big mistake taking your relationship

570
00:33:59,320 --> 00:34:02,000
Speaker 1: with him out of it. Do you find his story

571
00:34:02,160 --> 00:34:06,240
Speaker 1: and what he's done for this country was a person

572
00:34:06,440 --> 00:34:08,400
Speaker 1: that devoted a lot of energy and a lot of

573
00:34:08,480 --> 00:34:12,240
Speaker 1: heart two civil rights, but there were many others. Also.

574
00:34:13,120 --> 00:34:18,239
Speaker 1: There's a petition to rename the Edmund Pettis Bridge in Selma, Alabama.

575
00:34:18,320 --> 00:34:21,239
Speaker 1: As to John Lewis Bridge, would you support that idea?

576
00:34:21,320 --> 00:34:23,160
Speaker 1: Would I would have no objection to it. If they'd

577
00:34:23,200 --> 00:34:25,960
Speaker 1: like to do, would have no objection to it whatsoever.

578
00:34:26,480 --> 00:34:28,520
Speaker 1: He then goes on to say that you know the

579
00:34:28,640 --> 00:34:32,840
Speaker 1: things I've done for African Americans between the getting the

580
00:34:33,440 --> 00:34:39,120
Speaker 1: crime reform and just everything related to crime and prison. Uh,

581
00:34:39,440 --> 00:34:42,000
Speaker 1: it was just that was his entire thrust of his

582
00:34:42,200 --> 00:34:45,040
Speaker 1: argument about why he's been a champion for black people

583
00:34:45,080 --> 00:34:48,880
Speaker 1: in this country, again revealing very much about what he

584
00:34:49,080 --> 00:34:52,160
Speaker 1: believes the federal government's relationship is to black people, which

585
00:34:52,239 --> 00:34:55,480
Speaker 1: is basically to incarcerate them or to you know, over

586
00:34:55,560 --> 00:34:58,640
Speaker 1: police them. It wasn't anything about upwards social mobility, was

587
00:34:58,680 --> 00:35:02,400
Speaker 1: nothing about mortality rates or anything like that. Protecting vulnerable

588
00:35:02,440 --> 00:35:05,880
Speaker 1: people just you know, they've got got got better jails

589
00:35:05,960 --> 00:35:09,439
Speaker 1: now because of me. Yeah. Also serves it as maybe

590
00:35:09,520 --> 00:35:12,440
Speaker 1: a reminder that while it is valuable to rename the

591
00:35:13,160 --> 00:35:16,120
Speaker 1: Pettis Bridge, I'm not going to solve anything that um

592
00:35:17,080 --> 00:35:20,360
Speaker 1: or at least anything that that like inhibits what is

593
00:35:20,440 --> 00:35:26,040
Speaker 1: actually on Trump's uh in his plans, right, He's like, yeah, yeah, sure,

594
00:35:26,080 --> 00:35:28,840
Speaker 1: go ahead, rename your bridge, do what you want. You know,

595
00:35:28,960 --> 00:35:31,600
Speaker 1: we still got on. But can Fort Bragg be still

596
00:35:31,800 --> 00:35:35,879
Speaker 1: named after Braxton Bragg, the Confederate General? Okay? Good? Um?

597
00:35:36,560 --> 00:35:39,040
Speaker 1: Can I still be named after my father, Fred Trump,

598
00:35:39,080 --> 00:35:44,759
Speaker 1: who was independent? Can I keep my name the son

599
00:35:44,840 --> 00:35:47,680
Speaker 1: of clan Fred Clan? I mean Fred Trump. Do you

600
00:35:47,719 --> 00:35:52,720
Speaker 1: feel like the even white supremacists have to be listening

601
00:35:52,760 --> 00:35:55,920
Speaker 1: to this answer and being like, come the funk um,

602
00:35:56,040 --> 00:36:00,680
Speaker 1: like you're it's just he's making it seem so petty,

603
00:36:00,880 --> 00:36:04,279
Speaker 1: like all their all their arguments, I don't I don't know.

604
00:36:04,360 --> 00:36:06,120
Speaker 1: See that's the thing. It's like where it's almost like

605
00:36:06,160 --> 00:36:10,120
Speaker 1: are their white supremacists with shame. No, I don't think shame,

606
00:36:10,280 --> 00:36:13,000
Speaker 1: But I just think that they're like, yeah, I don't know.

607
00:36:13,200 --> 00:36:17,120
Speaker 1: You like, look, even though I'm gonna I'm gonna cape

608
00:36:17,160 --> 00:36:20,200
Speaker 1: for something so intellectually and morally bankrupt as white supremacy,

609
00:36:20,360 --> 00:36:25,239
Speaker 1: I still need our arguments to be fucking rocks. I

610
00:36:25,360 --> 00:36:28,160
Speaker 1: do think that's like the only reason Republicans ever had

611
00:36:28,200 --> 00:36:30,320
Speaker 1: a problem with him is that like, yeah, we agree,

612
00:36:30,560 --> 00:36:32,600
Speaker 1: we believe all the same ship, but you're just putting

613
00:36:32,600 --> 00:36:34,640
Speaker 1: it right out there if you not read the art

614
00:36:34,680 --> 00:36:37,600
Speaker 1: of war bro. Yeah. Yeah, but I think that's the

615
00:36:37,640 --> 00:36:40,080
Speaker 1: thing people needed, because I think there are many well

616
00:36:40,200 --> 00:36:42,920
Speaker 1: meaning white people who didn't realize that that's just how

617
00:36:43,080 --> 00:36:45,640
Speaker 1: things are operating. But there was this brand before that

618
00:36:45,800 --> 00:36:48,520
Speaker 1: was smiley and kind or had the you know, sort

619
00:36:48,560 --> 00:36:51,319
Speaker 1: of the appearance of humanity and being humane, when really

620
00:36:51,800 --> 00:36:54,759
Speaker 1: the same sort of game plan had been there. They

621
00:36:54,840 --> 00:36:57,440
Speaker 1: just talk openly about defunding schools instead of saying the

622
00:36:57,560 --> 00:37:00,279
Speaker 1: N word, right exactly, Well, yeah, we've just learned how

623
00:37:00,320 --> 00:37:03,720
Speaker 1: to deracialize our racism but still hit the intended targets.

624
00:37:04,120 --> 00:37:07,480
Speaker 1: And then finally the president is also asked, you know

625
00:37:07,560 --> 00:37:11,520
Speaker 1: about that very wild line he had about Galen Maxwell,

626
00:37:12,040 --> 00:37:14,560
Speaker 1: about like why were you wishing her well in that

627
00:37:15,160 --> 00:37:19,359
Speaker 1: at that press briefing? And okay, he's just he wants

628
00:37:19,440 --> 00:37:21,320
Speaker 1: to triple down on the well wishes. It sounds like

629
00:37:22,040 --> 00:37:24,200
Speaker 1: all over the present. The other day a report I

630
00:37:24,200 --> 00:37:27,200
Speaker 1: asked you about Glenn Maxwell, you said, quote, I just

631
00:37:27,400 --> 00:37:30,399
Speaker 1: wish her well. Frankly, I've met her numerous times over

632
00:37:30,480 --> 00:37:33,040
Speaker 1: the years, especially since I lived in Palm Beach, but

633
00:37:33,160 --> 00:37:35,760
Speaker 1: I wish her well. Whatever it is, Mr Present, Glenn

634
00:37:35,800 --> 00:37:39,760
Speaker 1: Maxwell has been arrested on allegations of child sex trafficking.

635
00:37:40,719 --> 00:37:43,040
Speaker 1: Why would you wish such a person? I don't know that,

636
00:37:43,239 --> 00:37:45,080
Speaker 1: but I do know that she has. She's been arrested

637
00:37:45,120 --> 00:37:49,200
Speaker 1: for that. Friend or boyfriend Epstein was either killed or

638
00:37:49,239 --> 00:37:52,800
Speaker 1: committed suicide in jail. She's now in jail. Yeah, I

639
00:37:52,880 --> 00:37:54,520
Speaker 1: wish you well. I'd wish you well. I'd wish a

640
00:37:54,560 --> 00:37:57,920
Speaker 1: lot of people well good luck. Let them prove somebody

641
00:37:58,120 --> 00:38:00,040
Speaker 1: was guilty. I mean, you do you know that? So

642
00:38:00,120 --> 00:38:01,680
Speaker 1: you're saying you hope she doesn't die in jail. Is

643
00:38:01,719 --> 00:38:03,680
Speaker 1: that what you mean by wish the well? Her boyfriend

644
00:38:03,800 --> 00:38:05,880
Speaker 1: died in jail and people are still trying to figure

645
00:38:05,920 --> 00:38:08,800
Speaker 1: out how did it happened? Was it suicide? Was he killed?

646
00:38:09,400 --> 00:38:10,960
Speaker 1: And I do wish you well. I'm not looking for

647
00:38:11,000 --> 00:38:13,680
Speaker 1: anything bad for her. I'm not looking bad for anybody.

648
00:38:14,040 --> 00:38:18,160
Speaker 1: And they took that child sex a big deal. But

649
00:38:18,360 --> 00:38:22,600
Speaker 1: all it is is her boyfriend died. He died in jail.

650
00:38:23,120 --> 00:38:32,120
Speaker 1: Won't you think about the Epstein child sex trafficking? Yeah? Yeah,

651
00:38:32,200 --> 00:38:34,000
Speaker 1: I took out a full page ad to get five

652
00:38:34,080 --> 00:38:36,080
Speaker 1: black kids killed in the nineties. But I don't want

653
00:38:36,080 --> 00:38:40,799
Speaker 1: anybody to die in jail, right, Yeah, unless I'm killing them.

654
00:38:43,760 --> 00:38:46,800
Speaker 1: I waged full on war against five black children with

655
00:38:46,920 --> 00:38:52,600
Speaker 1: no actual convictions. Yeah, but yeah, I hope they wish well.

656
00:38:52,719 --> 00:38:55,480
Speaker 1: This alleged the fact he goes I didn't know, I

657
00:38:55,560 --> 00:38:57,560
Speaker 1: don't know that. What do you mean you don't know that?

658
00:38:57,800 --> 00:39:01,400
Speaker 1: You don't know you but you know who Jeffrey Epstein

659
00:39:01,600 --> 00:39:04,360
Speaker 1: is and you know who Gilan Maxwell is. Y'all have

660
00:39:04,560 --> 00:39:08,000
Speaker 1: been kicking it for a long time, but now you're

661
00:39:08,080 --> 00:39:11,800
Speaker 1: like again, that's why it's so weird and murky like,

662
00:39:12,160 --> 00:39:14,759
Speaker 1: is is he afraid of her? What she's gonna say?

663
00:39:15,000 --> 00:39:17,320
Speaker 1: Is he trying to be like, yo, got you just

664
00:39:17,719 --> 00:39:20,319
Speaker 1: suck up like, I don't what is going on. It's

665
00:39:20,360 --> 00:39:23,799
Speaker 1: the whole thing is just so confusing and upsetting. It's

666
00:39:23,840 --> 00:39:26,800
Speaker 1: really funny to me, the notion of like if somebody

667
00:39:26,880 --> 00:39:29,640
Speaker 1: like gives you information to your face and instead of

668
00:39:29,760 --> 00:39:31,640
Speaker 1: like past tense I didn't know that, to be like, oh,

669
00:39:31,760 --> 00:39:34,680
Speaker 1: I don't know that the thing you the thing you

670
00:39:34,800 --> 00:39:42,719
Speaker 1: just told me, I don't know it not okay, so

671
00:39:42,920 --> 00:39:46,360
Speaker 1: now you do. I'm just telling you so you know

672
00:39:46,960 --> 00:39:51,760
Speaker 1: now that she is an alleged child sex trafficker who's

673
00:39:51,800 --> 00:39:55,440
Speaker 1: in prison. I don't trial no telling that. I don't know.

674
00:39:55,560 --> 00:39:57,680
Speaker 1: I don't but I don't know that. Okay, you're yeah,

675
00:39:57,719 --> 00:39:59,120
Speaker 1: you're telling me that, and I didn't know that. But

676
00:39:59,120 --> 00:40:01,440
Speaker 1: I also don't know that. But what are what are

677
00:40:01,440 --> 00:40:05,400
Speaker 1: those red stains on your shirt? Mr? President? Looks like ketchup? No,

678
00:40:05,520 --> 00:40:10,480
Speaker 1: that's blood, that's blood. Oh yeah, okay, but but I don't.

679
00:40:10,600 --> 00:40:12,000
Speaker 1: You didn't hear that from me. You didn't hear that

680
00:40:12,040 --> 00:40:13,920
Speaker 1: from me. I don't know that. It's I don't know that.

681
00:40:14,080 --> 00:40:16,000
Speaker 1: Ye who knows and whose is it. I don't know

682
00:40:17,200 --> 00:40:21,640
Speaker 1: who's I don't know. I died in jail. It was

683
00:40:21,719 --> 00:40:25,200
Speaker 1: a fate I wouldn't wish on anyone. Yeah, man, So

684
00:40:25,480 --> 00:40:31,160
Speaker 1: this whole thing gets murkier and murkier, and yeah, l president,

685
00:40:31,920 --> 00:40:36,080
Speaker 1: her boyfriend died in jail. It's he. The The amount

686
00:40:36,160 --> 00:40:40,640
Speaker 1: of sympathy and empathy he's able to feel for Gillay

687
00:40:40,760 --> 00:40:45,800
Speaker 1: Maxwell and Jeffrey Epstein is pretty troubling. And again, this

688
00:40:46,000 --> 00:40:48,680
Speaker 1: is the guy who is the god head of a

689
00:40:49,600 --> 00:40:56,680
Speaker 1: suicide cult that entire like reason for existence is anti

690
00:40:56,840 --> 00:41:01,520
Speaker 1: child sex trafficking. Yeah, I also feel the word boyfriend

691
00:41:01,640 --> 00:41:08,560
Speaker 1: really undercuts the grand Yeah right exactly. That's like husband,

692
00:41:08,760 --> 00:41:12,000
Speaker 1: like an adult, like a life partner, partner in crime,

693
00:41:12,360 --> 00:41:17,120
Speaker 1: like they were partners. Her business partner died in jail. Yeah,

694
00:41:17,440 --> 00:41:19,600
Speaker 1: he wasn't just some guy who was like pushing her

695
00:41:19,640 --> 00:41:21,680
Speaker 1: passenger seat all the way back and putting it on

696
00:41:21,800 --> 00:41:24,360
Speaker 1: full recline when you got in the car. The extent

697
00:41:24,440 --> 00:41:27,000
Speaker 1: of their relationship was far beyond that. That's just like

698
00:41:27,080 --> 00:41:28,719
Speaker 1: some dudes you're dating, who's like, why is your car

699
00:41:28,840 --> 00:41:33,000
Speaker 1: like this? Why is your friends like this? Uh So, yeah,

700
00:41:33,080 --> 00:41:35,080
Speaker 1: it's it. It goes on and on, but you know

701
00:41:35,239 --> 00:41:40,800
Speaker 1: her boyfriend dial Day and jail could be murderer Lane.

702
00:41:41,040 --> 00:41:45,800
Speaker 1: We wish her well. Oh all right, let's take another

703
00:41:45,880 --> 00:41:58,439
Speaker 1: quick break when we'll be right back, and we're back,

704
00:41:59,160 --> 00:42:03,040
Speaker 1: and briefly, just another thing on the president is he

705
00:42:03,120 --> 00:42:09,000
Speaker 1: seems to be pushing for a UM debate, which I

706
00:42:10,200 --> 00:42:15,240
Speaker 1: and one of my most traumatic memories from the past

707
00:42:15,320 --> 00:42:19,160
Speaker 1: five years is the debate he had with Hillary Clinton

708
00:42:19,200 --> 00:42:21,800
Speaker 1: when he was like stalking her around the stage. That

709
00:42:21,880 --> 00:42:25,880
Speaker 1: ship was so I remember where I was. I was

710
00:42:25,960 --> 00:42:28,440
Speaker 1: in Oakland on a work trip, like watching my hotel

711
00:42:28,560 --> 00:42:31,000
Speaker 1: room has been like, oh god, this is awful. Yeah,

712
00:42:31,760 --> 00:42:33,640
Speaker 1: he looked It was funny because he looked exactly like

713
00:42:33,719 --> 00:42:37,680
Speaker 1: that picture of him watching Baron mo the lawn, right,

714
00:42:37,800 --> 00:42:43,080
Speaker 1: same stance. I'm not trying to gain any information right now.

715
00:42:43,160 --> 00:42:46,080
Speaker 1: I'm just here. He always looks like he's about to

716
00:42:46,239 --> 00:42:49,439
Speaker 1: do the lean from Smooth Criminal, the Michael Jackson video,

717
00:42:49,640 --> 00:42:52,520
Speaker 1: like where he's about any are you what? But they've

718
00:42:52,560 --> 00:42:54,960
Speaker 1: never quite guess there. It's just those those heels lifts.

719
00:42:54,960 --> 00:42:59,440
Speaker 1: Any am I okay, yeah, Baron am I okay, I

720
00:42:59,520 --> 00:43:02,120
Speaker 1: feel like the inch if he leaned even an inch

721
00:43:02,200 --> 00:43:05,640
Speaker 1: in that direction, he would just topple. Yeah, well, I

722
00:43:05,680 --> 00:43:09,239
Speaker 1: mean again, the strategy, right is while he is just

723
00:43:09,800 --> 00:43:12,719
Speaker 1: tanking in the polls, and I get it right, we're

724
00:43:12,760 --> 00:43:14,440
Speaker 1: not using the polls to go to sleep at night

725
00:43:14,440 --> 00:43:16,080
Speaker 1: and say and don't worry. I guess that's a wrap,

726
00:43:16,360 --> 00:43:19,120
Speaker 1: but just a good snapshot that every but most people

727
00:43:19,160 --> 00:43:21,200
Speaker 1: are basically fed the funk up with what's going on

728
00:43:21,520 --> 00:43:25,400
Speaker 1: his you know how on the daily he's slandering experts,

729
00:43:25,480 --> 00:43:28,239
Speaker 1: making up new racial slurs for COVID nineteen whatever it is.

730
00:43:28,760 --> 00:43:32,320
Speaker 1: And his rallies have just like been lame. There's just

731
00:43:32,480 --> 00:43:34,520
Speaker 1: about you know, the Tulsa one who was like, I

732
00:43:34,640 --> 00:43:38,000
Speaker 1: gave people the tax cut, I beat killery and I

733
00:43:38,080 --> 00:43:40,120
Speaker 1: built a wall so mighty that a gust of wind

734
00:43:40,200 --> 00:43:42,360
Speaker 1: blew it over. And that's a pretty much all the

735
00:43:42,480 --> 00:43:44,279
Speaker 1: rallies are now. It's like talking about shit he did.

736
00:43:44,640 --> 00:43:46,480
Speaker 1: When he went to Hannity a few weeks ago. We

737
00:43:46,640 --> 00:43:49,480
Speaker 1: were talking about how Handy was like, all right, underhand

738
00:43:49,560 --> 00:43:52,120
Speaker 1: er slugger, knocking out the park, what's your vision for

739
00:43:52,200 --> 00:43:54,520
Speaker 1: your second term? And He's like just went off on

740
00:43:54,640 --> 00:43:57,759
Speaker 1: some bullshit, uh, absolutely having to do with nothing or

741
00:43:57,800 --> 00:44:01,040
Speaker 1: a vision of the future. Meanwhile, Joe Biden is in

742
00:44:01,160 --> 00:44:05,080
Speaker 1: his sarcophagus chilling, watching his donations come in and the

743
00:44:05,200 --> 00:44:08,640
Speaker 1: poll numbers rise, and like the one weakness that Biden

744
00:44:08,760 --> 00:44:10,480
Speaker 1: has is kind of the same that Trump is, which

745
00:44:10,480 --> 00:44:12,839
Speaker 1: is like, don't let them talk about serious shit out

746
00:44:12,880 --> 00:44:16,759
Speaker 1: loud in public. And so now it's like that's where

747
00:44:16,800 --> 00:44:19,840
Speaker 1: we do the final battle on the debate stage, like

748
00:44:20,000 --> 00:44:23,480
Speaker 1: where I mean the granted, I think Biden will be

749
00:44:23,520 --> 00:44:26,839
Speaker 1: able to restrain himself, but we've also seen how he's

750
00:44:26,880 --> 00:44:28,640
Speaker 1: been I mean he not. It wasn't even like two

751
00:44:28,640 --> 00:44:30,160
Speaker 1: months ago where he was like, if you don't vote

752
00:44:30,200 --> 00:44:33,480
Speaker 1: for Biden, you ate Black. So I can't imagine what

753
00:44:33,600 --> 00:44:37,000
Speaker 1: happens if Trump starts getting on his bullshit and getting Biden,

754
00:44:37,280 --> 00:44:39,400
Speaker 1: because I feel like my strategy with Joe Biden is

755
00:44:39,480 --> 00:44:41,839
Speaker 1: get him upset and get him to just come out

756
00:44:41,880 --> 00:44:44,959
Speaker 1: of pocket by just fucking ask him what you're gonna

757
00:44:45,000 --> 00:44:47,200
Speaker 1: do for black people, and he will tell you what

758
00:44:47,400 --> 00:44:50,719
Speaker 1: he is allegedly already done for black people for way

759
00:44:50,800 --> 00:44:53,720
Speaker 1: too long. That's just gonna be the most uncomfortable debate

760
00:44:53,800 --> 00:44:58,320
Speaker 1: answer where they're like this President, this goes for both candidates,

761
00:44:58,719 --> 00:45:00,719
Speaker 1: what have you done for the African American community, and

762
00:45:00,719 --> 00:45:03,399
Speaker 1: what will you continue to do? I've done so much.

763
00:45:03,520 --> 00:45:06,400
Speaker 1: My my base is my base is the African Americans.

764
00:45:06,680 --> 00:45:09,080
Speaker 1: My base is the African. My basis the African. My

765
00:45:09,160 --> 00:45:11,400
Speaker 1: base is the African American. That's my base. Is just

766
00:45:11,520 --> 00:45:16,400
Speaker 1: back and forth. Man's going to start every answer just

767
00:45:16,600 --> 00:45:21,840
Speaker 1: piste off his debate bass guitar is the African American

768
00:45:22,960 --> 00:45:25,200
Speaker 1: and I'm slapping in popping. Tactic was to just be

769
00:45:25,440 --> 00:45:29,120
Speaker 1: so mad the whole time. I feel like the if

770
00:45:29,200 --> 00:45:32,720
Speaker 1: this debate happens and I think they're going to write,

771
00:45:33,840 --> 00:45:35,880
Speaker 1: I'm sure. I mean the schedule the first debate is

772
00:45:35,880 --> 00:45:40,120
Speaker 1: scheduled for September twenty ninth, So is he trying to

773
00:45:40,280 --> 00:45:45,320
Speaker 1: move up debates up while also delaying the election? Delaying

774
00:45:45,400 --> 00:45:48,399
Speaker 1: the look he's he's trying to all he's you gotta

775
00:45:48,440 --> 00:45:50,880
Speaker 1: throw It's it's a kitchen sink approach. You know, if

776
00:45:50,920 --> 00:45:53,319
Speaker 1: maybe you can delay, you can, jerrymanager, you can vote

777
00:45:53,400 --> 00:45:56,680
Speaker 1: the suppressed votes, you can try and get more debates.

778
00:45:56,960 --> 00:45:59,839
Speaker 1: One of his campaign his new campaign manager was saying,

779
00:46:00,120 --> 00:46:03,000
Speaker 1: He's like, quote, we want more debates, we want debates

780
00:46:03,120 --> 00:46:06,719
Speaker 1: starting sooner. And is the thing is he's saying the

781
00:46:06,719 --> 00:46:09,000
Speaker 1: first debated schedule for September twenty nine. By that time,

782
00:46:09,080 --> 00:46:12,080
Speaker 1: sixteen states will already have voted, like for early voting,

783
00:46:12,480 --> 00:46:14,680
Speaker 1: so that's a concern. So I think what they want

784
00:46:14,719 --> 00:46:16,920
Speaker 1: to do is maybe they're hoping if they can get Biden,

785
00:46:17,239 --> 00:46:19,759
Speaker 1: like you, a weird jam on a debate stage, that

786
00:46:20,520 --> 00:46:25,479
Speaker 1: that'll move the needle some direction. But at the very least,

787
00:46:25,840 --> 00:46:27,960
Speaker 1: I mean, I think what they need is just make

788
00:46:28,000 --> 00:46:30,600
Speaker 1: sure that like Joe Biden has one of those Darth

789
00:46:30,680 --> 00:46:33,520
Speaker 1: Vader boxes that like George w had and like those

790
00:46:33,560 --> 00:46:35,480
Speaker 1: Gore debates, Like whatever they need to do to be like,

791
00:46:35,560 --> 00:46:39,120
Speaker 1: don't don't don't say, don't, don't do an anecdote, don't

792
00:46:39,239 --> 00:46:42,080
Speaker 1: do an anecdote involving people of color, Joe, do not

793
00:46:42,200 --> 00:46:46,200
Speaker 1: do it. Just please just use the statistic, please, right,

794
00:46:46,560 --> 00:46:49,080
Speaker 1: He's like, I remember when I used to work outside

795
00:46:49,280 --> 00:46:51,880
Speaker 1: at this convenience store, this liquor store, and I was

796
00:46:51,960 --> 00:46:55,200
Speaker 1: just sweeping and my friend Turbo showed me some cool

797
00:46:55,280 --> 00:47:00,040
Speaker 1: moves with the broomstick and this movie that's oh, and

798
00:47:00,120 --> 00:47:01,840
Speaker 1: the way he was doing stuff with the broom and

799
00:47:01,920 --> 00:47:04,160
Speaker 1: he taught me how to do it. It looked like magic.

800
00:47:04,280 --> 00:47:05,840
Speaker 1: And I could be making this could have been a

801
00:47:05,880 --> 00:47:08,800
Speaker 1: scene from the movie Breaking, but I also believe this

802
00:47:08,920 --> 00:47:12,400
Speaker 1: was my friend from real life. He talks about such

803
00:47:12,440 --> 00:47:14,200
Speaker 1: an open mouth. He was like, I remember back in

804
00:47:14,280 --> 00:47:17,000
Speaker 1: the nineties, my friend of mine, I met a guy

805
00:47:17,040 --> 00:47:18,680
Speaker 1: who had an apple orchard, and I went to that

806
00:47:18,719 --> 00:47:21,440
Speaker 1: apple orchard and we we we we we just we

807
00:47:21,680 --> 00:47:23,919
Speaker 1: we just we just we just picked. We just picked

808
00:47:23,960 --> 00:47:26,800
Speaker 1: a couple. We just picked. We just thought. Man, we

809
00:47:27,520 --> 00:47:30,759
Speaker 1: come on, man, come on, come on. I've been with

810
00:47:30,920 --> 00:47:36,640
Speaker 1: these people. I've been around these people. It really never

811
00:47:36,719 --> 00:47:39,640
Speaker 1: finished the story. It's like, yeah, you start off strong,

812
00:47:40,000 --> 00:47:44,080
Speaker 1: and then it's and then there's the stumbling turns to aggression,

813
00:47:44,280 --> 00:47:47,280
Speaker 1: which is, come on, man, I ain't racist. It's basically

814
00:47:47,400 --> 00:47:49,080
Speaker 1: how it all sums up. He's like, you know, and

815
00:47:49,160 --> 00:47:52,480
Speaker 1: I've been I've been out here in Pennsylvania. I know

816
00:47:52,600 --> 00:47:55,399
Speaker 1: what's going on and scratting, and you get you got

817
00:47:55,480 --> 00:47:58,160
Speaker 1: your your factory jobs, and your and your dad went

818
00:47:58,239 --> 00:48:01,960
Speaker 1: to work, and he was and then he and he'd

819
00:48:02,000 --> 00:48:04,800
Speaker 1: come back and kiss your mother and she was, she

820
00:48:05,000 --> 00:48:07,840
Speaker 1: had dinner on the table. The kids were at school,

821
00:48:08,239 --> 00:48:12,800
Speaker 1: and but now with this guy right now, it's like,

822
00:48:12,960 --> 00:48:17,239
Speaker 1: come on, who's looking after us? And come on back.

823
00:48:17,280 --> 00:48:19,279
Speaker 1: I can go on for hours, but I think my

824
00:48:19,400 --> 00:48:23,240
Speaker 1: time's up and I yield, and then says his website.

825
00:48:23,480 --> 00:48:26,439
Speaker 1: Now you go to Joe Biden dot dot com, dot

826
00:48:27,120 --> 00:48:31,560
Speaker 1: dot e du Yeah, go to one three three oh

827
00:48:31,800 --> 00:48:35,239
Speaker 1: eight zero zero four like Jones up on the low

828
00:48:35,280 --> 00:48:37,680
Speaker 1: because Mike Jones about to blow. Okay, I'm mixing up

829
00:48:37,719 --> 00:48:42,560
Speaker 1: my favorite rap song Houston. Alright, guys, real quick, let's

830
00:48:42,560 --> 00:48:45,680
Speaker 1: take a look at the Super Spreader event calendar. Get

831
00:48:45,760 --> 00:48:50,640
Speaker 1: your get your planners out, let's figure out which ones

832
00:48:50,680 --> 00:48:53,640
Speaker 1: we're gonna hit. So it turns out the Lake of

833
00:48:53,680 --> 00:48:57,440
Speaker 1: the Ozarks is uh the place to be if you

834
00:48:57,480 --> 00:49:01,600
Speaker 1: want to turn up and contract to an illness. Uh.

835
00:49:01,880 --> 00:49:05,000
Speaker 1: They had a E d M show with hundreds of people,

836
00:49:05,120 --> 00:49:10,160
Speaker 1: no masks, no social distancing. Uh that's yeah, it's the

837
00:49:10,600 --> 00:49:14,680
Speaker 1: scenes were worse than like that Southampton like rave where

838
00:49:14,760 --> 00:49:17,040
Speaker 1: like the head of Goldman Sacks was one of the DJ's,

839
00:49:17,160 --> 00:49:21,080
Speaker 1: like the DJ acts. Uh this was you know the

840
00:49:21,200 --> 00:49:22,920
Speaker 1: last time was I think it was a Memorial Day

841
00:49:22,960 --> 00:49:25,160
Speaker 1: weekend or right before mean World Day weekend where like

842
00:49:26,680 --> 00:49:29,000
Speaker 1: copping and everyone's like what is everyone doing at that

843
00:49:29,080 --> 00:49:32,319
Speaker 1: pool party? Just like drinking the off of each other's

844
00:49:32,360 --> 00:49:35,560
Speaker 1: shorts and ship. Now was this other bar out there?

845
00:49:35,640 --> 00:49:39,120
Speaker 1: How to this rave? Imagine finding out you got COVID

846
00:49:39,280 --> 00:49:41,640
Speaker 1: after you spent like half an hour with somebody doing

847
00:49:41,680 --> 00:49:43,839
Speaker 1: the little glow fingers in your face. Oh my god,

848
00:49:44,719 --> 00:49:47,120
Speaker 1: I mean yeah, I mean I used to get like

849
00:49:47,440 --> 00:49:49,680
Speaker 1: you could get a little cold at a rave. Sometimes

850
00:49:49,800 --> 00:49:51,840
Speaker 1: that's just from the sweat and not dressing right for

851
00:49:51,880 --> 00:49:53,279
Speaker 1: the occasion because you're out in the desert in the

852
00:49:53,320 --> 00:49:56,759
Speaker 1: middle of winter. But but again, that already happened, So

853
00:49:56,880 --> 00:50:00,560
Speaker 1: don't worry. And if you're less molly and more hardy, uh,

854
00:50:00,719 --> 00:50:05,080
Speaker 1: Sturgist is right around the corner. The fucking Sturgist motorcycle

855
00:50:05,239 --> 00:50:09,759
Speaker 1: Rally is not being postponed. The only thing they're like,

856
00:50:09,920 --> 00:50:12,040
Speaker 1: we're actually kind of bummed is gonna be less people

857
00:50:12,080 --> 00:50:14,240
Speaker 1: than normal because we can't have people coming from Canada

858
00:50:14,320 --> 00:50:17,080
Speaker 1: like we normally do. So this year we're expecting as

859
00:50:17,200 --> 00:50:24,279
Speaker 1: many as two hundred fifty thousand people. Ah what yep, No,

860
00:50:25,280 --> 00:50:27,080
Speaker 1: but how I mean it's not like they're going to

861
00:50:27,160 --> 00:50:30,720
Speaker 1: be able to get the typical amazing lineup of artists,

862
00:50:31,400 --> 00:50:33,360
Speaker 1: do you know. Okay, so if you've seen any I

863
00:50:33,560 --> 00:50:35,840
Speaker 1: was used to be fascinated with Sturgist because it was

864
00:50:36,000 --> 00:50:38,200
Speaker 1: the furthest thing from like Black and Asian culture I

865
00:50:38,239 --> 00:50:40,520
Speaker 1: had ever seen. Was like, whoa, what is this? And

866
00:50:40,600 --> 00:50:43,279
Speaker 1: like everyone's in this campsite called the Buffalo Chip and

867
00:50:43,360 --> 00:50:45,839
Speaker 1: it's just like goals the funk off in there? Where

868
00:50:45,960 --> 00:50:51,080
Speaker 1: is Sturgist South Dakota? Wow? So um at the at

869
00:50:51,120 --> 00:50:55,280
Speaker 1: the Buffalo Chip? Like this is like where it's always

870
00:50:55,320 --> 00:50:57,600
Speaker 1: at people go. They have concerts every year. They have

871
00:50:57,760 --> 00:51:00,680
Speaker 1: a full on line up. Okay, it's a full at

872
00:51:00,760 --> 00:51:04,920
Speaker 1: a whole as concert festival happening And I'm not joking.

873
00:51:05,040 --> 00:51:07,640
Speaker 1: These are the bands that are still build to perform

874
00:51:08,239 --> 00:51:14,520
Speaker 1: thirty eight Special, smash Mouth, Night Ranger, Buck Cherry, Quiet Riot,

875
00:51:15,000 --> 00:51:17,759
Speaker 1: Drowning Pool, the Guess Who. And then it gets into

876
00:51:17,800 --> 00:51:19,560
Speaker 1: a bunch of other bands I had not heard of.

877
00:51:19,800 --> 00:51:22,640
Speaker 1: But um, I oh Litt will also be playing here.

878
00:51:23,719 --> 00:51:27,880
Speaker 1: These people are going to be playing at this presumably

879
00:51:28,040 --> 00:51:33,880
Speaker 1: completely unsafe, but I don't know, motorcycle rally and festival.

880
00:51:34,040 --> 00:51:38,239
Speaker 1: So that's check it out. Look now I expect this

881
00:51:38,320 --> 00:51:42,600
Speaker 1: from thirty eight Special, but smash Mouth, yeah, I think

882
00:51:42,760 --> 00:51:45,000
Speaker 1: you know he's the lead singer. You know, he's kind

883
00:51:45,040 --> 00:51:47,200
Speaker 1: of a rogue. He just does whatever the funk he

884
00:51:47,280 --> 00:51:49,560
Speaker 1: wants to. It sounds like everybody needs to check out

885
00:51:49,640 --> 00:51:53,560
Speaker 1: the YouTube video of him when somebody threw a role

886
00:51:54,080 --> 00:51:58,799
Speaker 1: on stage at him during a concert as All Star

887
00:51:59,000 --> 00:52:01,800
Speaker 1: was about to begin, and he went into the crowd

888
00:52:01,880 --> 00:52:06,520
Speaker 1: to fight the people who through the role while his

889
00:52:06,640 --> 00:52:09,200
Speaker 1: band was vamping the beginning of All Star the whole time.

890
00:52:09,520 --> 00:52:13,120
Speaker 1: It's one of the great displays of professionalism that I've

891
00:52:13,160 --> 00:52:22,879
Speaker 1: ever seen. Um, I know, I had. Yeah, I happen

892
00:52:22,960 --> 00:52:25,600
Speaker 1: to know a couple of people who have like gone

893
00:52:25,640 --> 00:52:30,440
Speaker 1: on road trips up through like the South Dakota, Montana

894
00:52:30,800 --> 00:52:34,239
Speaker 1: area in the past like month, and they all say

895
00:52:34,320 --> 00:52:38,680
Speaker 1: that mask adoption throughout that part of the country is

896
00:52:38,880 --> 00:52:41,680
Speaker 1: like zero. And I think you can get away with

897
00:52:41,760 --> 00:52:43,799
Speaker 1: that because it's just like so wide open and there's

898
00:52:43,840 --> 00:52:46,480
Speaker 1: not a lot of people together at the same time.

899
00:52:46,600 --> 00:52:51,000
Speaker 1: But uh, this could could get I mean either way.

900
00:52:51,160 --> 00:52:53,560
Speaker 1: If you look sort of at the website for the

901
00:52:54,000 --> 00:52:57,239
Speaker 1: Buffalo Chip and like the Sturgis event itself, you know,

902
00:52:57,360 --> 00:52:59,160
Speaker 1: they all they kind of always say like, oh, we've

903
00:52:59,200 --> 00:53:01,960
Speaker 1: got registrations from this part of the country, this part

904
00:53:02,000 --> 00:53:03,440
Speaker 1: of the corner, like so like you know, you might

905
00:53:03,480 --> 00:53:05,520
Speaker 1: be able to find people to ride out like to

906
00:53:05,760 --> 00:53:09,359
Speaker 1: the you know, the event with and this map it's

907
00:53:09,640 --> 00:53:12,360
Speaker 1: every every state. I mean it's this is one. I

908
00:53:12,440 --> 00:53:14,800
Speaker 1: mean it's the one of the biggest motorcycle rallies in

909
00:53:14,840 --> 00:53:18,359
Speaker 1: the country. Um, so it's just gonna be like it's

910
00:53:18,400 --> 00:53:20,719
Speaker 1: truly going to be like a super spreader event, like

911
00:53:20,840 --> 00:53:23,080
Speaker 1: if there is an outbreak there and you have people

912
00:53:23,280 --> 00:53:31,960
Speaker 1: essentially representing most of the contiguous fifties the states states. Um, yeah,

913
00:53:32,160 --> 00:53:36,759
Speaker 1: it's just this flyer is too crowded for me. Like, yeah,

914
00:53:36,880 --> 00:53:40,040
Speaker 1: the flyer that they put out is like the aesthetic,

915
00:53:40,360 --> 00:53:43,880
Speaker 1: it's it's so busy, there's so much going on. It

916
00:53:44,000 --> 00:53:47,439
Speaker 1: feels like just the band names are too close together. Yeah.

917
00:53:47,719 --> 00:53:50,759
Speaker 1: The I'm like, the art is really interesting. It looks

918
00:53:50,800 --> 00:53:54,480
Speaker 1: like some kind of demon with the Casey Jones Hosy

919
00:53:54,600 --> 00:53:59,680
Speaker 1: hockey mask on, uh, with an American flag and which

920
00:54:00,000 --> 00:54:03,280
Speaker 1: at this point is just like yeah, I hate speech,

921
00:54:03,640 --> 00:54:08,799
Speaker 1: yeah right, yeah, basically speech. There's nobody with a mask. Oh,

922
00:54:08,840 --> 00:54:10,960
Speaker 1: I mean the motorcyclist I guess has a mask on,

923
00:54:11,040 --> 00:54:12,960
Speaker 1: but that's more to be intimidating and not because they

924
00:54:13,000 --> 00:54:15,399
Speaker 1: are actually looking after people. And then above that their

925
00:54:15,440 --> 00:54:18,000
Speaker 1: beer bottles with wings, Like it's like that after dark

926
00:54:18,080 --> 00:54:20,440
Speaker 1: screensaver from the early nineties. Do you think they thought

927
00:54:20,440 --> 00:54:22,359
Speaker 1: about taking the mask off? Like, do you think people

928
00:54:22,400 --> 00:54:28,919
Speaker 1: are going to think it's too political? Right? Oh? Probably, yeah, yeah,

929
00:54:28,960 --> 00:54:31,040
Speaker 1: it looks it looks like a punisher mask for sure,

930
00:54:31,640 --> 00:54:35,440
Speaker 1: or the band mask a little bit. The guys behind him, though,

931
00:54:35,520 --> 00:54:40,359
Speaker 1: are cartoons with giant tongues wagging out of their mouths, So, uh,

932
00:54:41,000 --> 00:54:43,560
Speaker 1: you can you can be sure that they're not doing

933
00:54:43,640 --> 00:54:49,200
Speaker 1: no mask bullshit fully planned without without COVID in mind. Yeah,

934
00:54:49,320 --> 00:54:53,000
Speaker 1: I mean this is like every we see it everywhere,

935
00:54:53,120 --> 00:54:55,600
Speaker 1: you know, there's just these elements of people fully rejecting

936
00:54:56,040 --> 00:54:58,880
Speaker 1: what's happening, fully rejecting their lack of control over this

937
00:54:59,000 --> 00:55:00,960
Speaker 1: pandemic and what the outcomes are going to be. And

938
00:55:01,040 --> 00:55:04,200
Speaker 1: it's clearly for some people just better to embrace this

939
00:55:04,280 --> 00:55:07,480
Speaker 1: sort of ignorance is bliss attitude of like, don't let

940
00:55:07,600 --> 00:55:10,600
Speaker 1: this funk up my good time, even though potentially could

941
00:55:10,640 --> 00:55:13,440
Speaker 1: have terrible ramifications for me and my family. I mean,

942
00:55:13,480 --> 00:55:16,120
Speaker 1: that was one of the details of the Swan interview

943
00:55:16,239 --> 00:55:19,800
Speaker 1: that was interesting because there's no there's no accountability for

944
00:55:20,320 --> 00:55:24,719
Speaker 1: the Oklahoma rally. The Tulsa rally that Trump had that

945
00:55:25,600 --> 00:55:29,000
Speaker 1: uh probably killed herman Kane. Uh. You know, it was

946
00:55:29,480 --> 00:55:33,160
Speaker 1: a bunch of people really close together, indoors, not wearing masks.

947
00:55:33,880 --> 00:55:36,279
Speaker 1: But there's no like people are like, yeah, but we

948
00:55:36,520 --> 00:55:39,759
Speaker 1: we can't know for sure where people got sick. Um,

949
00:55:40,600 --> 00:55:43,279
Speaker 1: and he was like, yeah, I came there was there

950
00:55:43,360 --> 00:55:46,359
Speaker 1: was an uptick in coronavirus, but it was like one month,

951
00:55:46,480 --> 00:55:49,160
Speaker 1: two months, three months later. It's like, we're not even

952
00:55:49,280 --> 00:55:52,280
Speaker 1: three months later. Now, what are you talking about about

953
00:55:52,280 --> 00:55:57,440
Speaker 1: two weeks? Yeah, it's it's only been about it's only

954
00:55:57,480 --> 00:56:02,399
Speaker 1: been about four to fourteen days. Okay, says I was inaggurgated.

955
00:56:02,960 --> 00:56:05,719
Speaker 1: I'm just getting started, alright. So if you want to

956
00:56:05,760 --> 00:56:09,520
Speaker 1: catch every literally every type of coronavirus from you know,

957
00:56:09,600 --> 00:56:13,400
Speaker 1: a sampling from all forty eight contiguous United States, I'd

958
00:56:13,560 --> 00:56:18,360
Speaker 1: highly recommend this. Uh, this party the best party anywhere

959
00:56:19,040 --> 00:56:22,080
Speaker 1: as it's being advertised on this By the way, the

960
00:56:22,440 --> 00:56:26,880
Speaker 1: poster is clearly drawn by like that kid who like

961
00:56:27,200 --> 00:56:29,520
Speaker 1: drew really gnarly shipped on the back of his like

962
00:56:29,640 --> 00:56:32,560
Speaker 1: traffic keeper in in high school. I didn't know that

963
00:56:32,760 --> 00:56:35,920
Speaker 1: that was like a career traffic keeper. But yeah, you

964
00:56:35,960 --> 00:56:39,000
Speaker 1: feel like there should be like a cool ass on there, right, yeah, right,

965
00:56:39,400 --> 00:56:41,480
Speaker 1: I'm surprised there's not an eight ball on there that's

966
00:56:41,560 --> 00:56:45,239
Speaker 1: typical that anchors the whole piece usually. I'm surprised there's

967
00:56:45,280 --> 00:56:49,200
Speaker 1: not like Calvin peeing on something like like yeah, like

968
00:56:49,280 --> 00:56:52,520
Speaker 1: a Honda logo or something. The other thing though, just

969
00:56:53,040 --> 00:56:55,160
Speaker 1: one more thing about the people of Sturgis. It's like

970
00:56:55,239 --> 00:56:57,520
Speaker 1: six out of ten people were like, please don't have

971
00:56:57,680 --> 00:57:01,319
Speaker 1: this event here, please please please postponed it. We don't

972
00:57:01,360 --> 00:57:03,080
Speaker 1: want this year. We don't want a quarter of a

973
00:57:03,120 --> 00:57:05,640
Speaker 1: million people coming through. And the owner of the Buffalo

974
00:57:05,760 --> 00:57:09,520
Speaker 1: Chip it's like, I'm closed three five days of the year, man,

975
00:57:09,960 --> 00:57:12,680
Speaker 1: So I'm I'm a I'm like a one week of

976
00:57:12,840 --> 00:57:16,720
Speaker 1: business out of the year kind of business. So the

977
00:57:16,800 --> 00:57:20,160
Speaker 1: show is going to go on, and the Buffalo Chip

978
00:57:20,280 --> 00:57:26,040
Speaker 1: has nothing if not integrity, right exactly, Just a couple

979
00:57:26,040 --> 00:57:28,760
Speaker 1: of businesses that are going out of business. I guess

980
00:57:28,800 --> 00:57:31,480
Speaker 1: it's all one. I didn't realize. Lord and Taylor is

981
00:57:31,560 --> 00:57:37,360
Speaker 1: also owner of Men's Warehouse, UM and a couple other places,

982
00:57:37,480 --> 00:57:41,680
Speaker 1: but they are going to be declaring bankruptcy, and just

983
00:57:41,800 --> 00:57:43,720
Speaker 1: a lot of local stores, like I don't know if

984
00:57:43,760 --> 00:57:46,120
Speaker 1: you guys are seeing this round where you are. But

985
00:57:46,440 --> 00:57:49,760
Speaker 1: there's like an independently owned toy store in my neighborhood

986
00:57:50,400 --> 00:57:53,640
Speaker 1: that has been open for thirty three years that is

987
00:57:53,760 --> 00:57:57,120
Speaker 1: going out of business. Is yeah, I don't know exactly

988
00:57:57,120 --> 00:58:01,240
Speaker 1: good talking about really yeah yeah this, Uh they already

989
00:58:01,280 --> 00:58:04,160
Speaker 1: closed the one that's like toys for older kids, that's

990
00:58:04,200 --> 00:58:07,440
Speaker 1: like two windows down, and the other one is now

991
00:58:07,640 --> 00:58:12,200
Speaker 1: just like everything must go off. But um and yeah,

992
00:58:12,280 --> 00:58:15,720
Speaker 1: I mean a lot of these places that are retail,

993
00:58:16,360 --> 00:58:20,040
Speaker 1: like small shop little areas are gonna be like ghost towns.

994
00:58:20,560 --> 00:58:23,760
Speaker 1: I don't necessarily blame the landlords because landlords are also

995
00:58:24,400 --> 00:58:28,920
Speaker 1: you know, need need their income, but I it seems

996
00:58:28,920 --> 00:58:31,760
Speaker 1: like there needs to be some like that. That's the

997
00:58:31,840 --> 00:58:34,400
Speaker 1: thing that you're starting to hear from people just in polls,

998
00:58:34,760 --> 00:58:38,880
Speaker 1: is we need something like some overall plan from the

999
00:58:38,960 --> 00:58:42,680
Speaker 1: federal government because like what, what's the what's going to

1000
00:58:42,760 --> 00:58:46,120
Speaker 1: happen to these stores? Like what once things open back up?

1001
00:58:46,880 --> 00:58:50,600
Speaker 1: Like what? Who? All these businesses that have been successful

1002
00:58:50,680 --> 00:58:53,840
Speaker 1: businesses for thirty three years are gone? And who's going

1003
00:58:53,920 --> 00:58:58,280
Speaker 1: to replace them? The mega corporations? Is it all? Is

1004
00:58:58,360 --> 00:59:01,720
Speaker 1: there just gonna be three distribut Amazon is just going

1005
00:59:01,840 --> 00:59:05,520
Speaker 1: to own all the it's just gonna be all Amazon stores.

1006
00:59:05,760 --> 00:59:07,360
Speaker 1: I think the problem is, like your to your point

1007
00:59:07,400 --> 00:59:10,320
Speaker 1: of like you know, the suck starts at the top

1008
00:59:10,640 --> 00:59:13,520
Speaker 1: with the banks or whoever owns a lot of these mortgages,

1009
00:59:13,600 --> 00:59:15,480
Speaker 1: which is the reason why people need to pay a

1010
00:59:15,600 --> 00:59:19,600
Speaker 1: landlord because they're most landlords are paying their mortgage like

1011
00:59:19,680 --> 00:59:22,360
Speaker 1: you're paying their mortgage, so that they don't not many

1012
00:59:22,440 --> 00:59:24,680
Speaker 1: landlords own their building and it's like fully on some

1013
00:59:24,760 --> 00:59:27,040
Speaker 1: passive income type thing. It's like, yeah, this is like

1014
00:59:27,400 --> 00:59:29,080
Speaker 1: I'm kind of caught up in this cycle. So like

1015
00:59:29,520 --> 00:59:31,560
Speaker 1: you're with me too, But see if your check start,

1016
00:59:31,680 --> 00:59:33,160
Speaker 1: then I can't kick up to the bank. So that's

1017
00:59:33,160 --> 00:59:34,400
Speaker 1: why I got to get you out and see if

1018
00:59:34,440 --> 00:59:36,000
Speaker 1: I get somebody in. And yes, this is a short

1019
00:59:36,080 --> 00:59:38,880
Speaker 1: term strategy, but yes, you'd hope the federal government would

1020
00:59:38,880 --> 00:59:40,720
Speaker 1: look at that and say, okay, we need to work

1021
00:59:40,800 --> 00:59:42,919
Speaker 1: something out with the people who own most of these

1022
00:59:43,080 --> 00:59:46,080
Speaker 1: loans and talk to them and say we need to

1023
00:59:46,160 --> 00:59:48,440
Speaker 1: put this ship on pause for at least two to

1024
00:59:48,560 --> 00:59:50,880
Speaker 1: three months and not even and it's not even like

1025
00:59:51,720 --> 00:59:54,160
Speaker 1: collect your what you're owed for these two three months.

1026
00:59:54,320 --> 00:59:58,280
Speaker 1: We are going to have to eat this. I don't

1027
00:59:58,320 --> 01:00:00,280
Speaker 1: think they see how the short term plays out in

1028
01:00:00,320 --> 01:00:03,280
Speaker 1: the long term, and like we're absolutely just building another

1029
01:00:03,360 --> 01:00:07,120
Speaker 1: housing bubble once again, and the exact same ship is

1030
01:00:07,160 --> 01:00:10,800
Speaker 1: gonna happen. America is just gonna be like a haunted

1031
01:00:10,960 --> 01:00:13,520
Speaker 1: landscape after this ship because like think about like all

1032
01:00:13,560 --> 01:00:16,520
Speaker 1: those malls are just gonna be empty, like Lorden, Like

1033
01:00:16,560 --> 01:00:19,360
Speaker 1: who's going to move into a lord and Taylor sized

1034
01:00:19,520 --> 01:00:22,280
Speaker 1: like footprint on it the mall? Like this's just just

1035
01:00:22,360 --> 01:00:26,000
Speaker 1: gonna be like we want to open another Macy's on

1036
01:00:26,080 --> 01:00:29,120
Speaker 1: the other side of it, right, but it's like Macy's

1037
01:00:29,320 --> 01:00:33,080
Speaker 1: probably get Like, yeah, all these stores are gonna go away.

1038
01:00:33,200 --> 01:00:35,880
Speaker 1: Like if this keeps going and the federal government doesn't

1039
01:00:35,920 --> 01:00:39,160
Speaker 1: like have a plan to like, you know, help companies

1040
01:00:39,280 --> 01:00:42,680
Speaker 1: or help like these especially small businesses out, it's just

1041
01:00:42,760 --> 01:00:46,000
Speaker 1: gonna look like a fucking apocalypse. Yeah, I'm curious to

1042
01:00:46,040 --> 01:00:49,280
Speaker 1: know if anyone has any information on what the attitudes

1043
01:00:49,320 --> 01:00:51,200
Speaker 1: are because I think, like, and I always say this

1044
01:00:51,320 --> 01:00:54,800
Speaker 1: just from a purely business standpoint, you'd think, look, if

1045
01:00:54,880 --> 01:00:57,520
Speaker 1: we can just put we just put this ship on

1046
01:00:57,640 --> 01:01:00,600
Speaker 1: pause for four months straight up, Like, is there a

1047
01:01:00,680 --> 01:01:04,720
Speaker 1: way to actually not cause all this strife and damage

1048
01:01:04,720 --> 01:01:07,320
Speaker 1: to the economy and keep people in their jobs if

1049
01:01:07,360 --> 01:01:09,080
Speaker 1: we did this the right way. And why aren't we

1050
01:01:09,200 --> 01:01:11,320
Speaker 1: looking at it like that, because I'm sure a lot

1051
01:01:11,360 --> 01:01:13,920
Speaker 1: of these companies like, fine, yeah, maybe the Trump will

1052
01:01:13,960 --> 01:01:15,960
Speaker 1: get people back to work and our stories can reopen.

1053
01:01:16,040 --> 01:01:18,960
Speaker 1: But it's like consumer confidence is low, Like people don't

1054
01:01:18,960 --> 01:01:21,000
Speaker 1: want to go out to the mall and do anything

1055
01:01:21,080 --> 01:01:22,520
Speaker 1: like that. I mean, some people do, but it's not

1056
01:01:22,600 --> 01:01:25,000
Speaker 1: going to be the same where you think, what is

1057
01:01:25,040 --> 01:01:27,120
Speaker 1: the best strategy as a business? Do we talk to

1058
01:01:27,200 --> 01:01:29,000
Speaker 1: them and say, we've got to figure out a way

1059
01:01:29,040 --> 01:01:31,200
Speaker 1: to just as if we're just putting pause on everything,

1060
01:01:31,280 --> 01:01:35,400
Speaker 1: not it's a violent sort of deconstruction of everything that

1061
01:01:35,480 --> 01:01:39,440
Speaker 1: has already been existing prior to this. I mean, epidemiologists

1062
01:01:39,440 --> 01:01:43,840
Speaker 1: are saying, just do a nationwide fourteen days shutdown again,

1063
01:01:44,200 --> 01:01:47,360
Speaker 1: just everything's closed for those fourteen days. But they're not

1064
01:01:47,440 --> 01:01:50,200
Speaker 1: even willing to do that, Like they they just won't

1065
01:01:50,280 --> 01:01:54,080
Speaker 1: eat the two weeks of like lost the economy because

1066
01:01:54,200 --> 01:01:56,400
Speaker 1: many people are like the polling reflects and now a

1067
01:01:56,480 --> 01:02:01,920
Speaker 1: majority of Americans want a strategic plan that is nationwide

1068
01:02:02,520 --> 01:02:06,240
Speaker 1: to address this because now people are like, wow, I

1069
01:02:06,320 --> 01:02:08,400
Speaker 1: think now It's like reaching that tipping point where now

1070
01:02:08,600 --> 01:02:10,800
Speaker 1: people who weren't as engaged with the politics of it

1071
01:02:10,880 --> 01:02:13,040
Speaker 1: and the nuances that are like you know there, I'm

1072
01:02:13,080 --> 01:02:15,040
Speaker 1: actually thinking of a better way to do this, and

1073
01:02:15,120 --> 01:02:18,720
Speaker 1: I'm not even an expert, just like passively observing this

1074
01:02:19,040 --> 01:02:22,440
Speaker 1: like this is not right. Yeah, I mean there are

1075
01:02:22,480 --> 01:02:24,160
Speaker 1: so many better ways to do First of all, how

1076
01:02:24,240 --> 01:02:27,760
Speaker 1: many how many billions of dollars has Jeff Bezos made?

1077
01:02:27,840 --> 01:02:31,320
Speaker 1: Since he made thirteen billion in a day? Has there

1078
01:02:31,360 --> 01:02:35,240
Speaker 1: been a discussion about five? I mean, like, like, how

1079
01:02:35,320 --> 01:02:38,040
Speaker 1: are we not how are we not even looking a

1080
01:02:38,160 --> 01:02:41,280
Speaker 1: little bit to somebody like that to say, like, could

1081
01:02:41,320 --> 01:02:44,520
Speaker 1: you give up just like a couple billion? Just tossed

1082
01:02:44,520 --> 01:02:46,480
Speaker 1: that back? How about this be like, hey, asshole, you

1083
01:02:46,560 --> 01:02:49,120
Speaker 1: made thirteen billion in one day. Okay, we're gonna take

1084
01:02:49,160 --> 01:02:54,040
Speaker 1: that day from you. Yeah, just eat that. Sorry, sorry

1085
01:02:54,080 --> 01:02:56,320
Speaker 1: you only worked or you didn't really work, but you

1086
01:02:56,680 --> 01:02:59,680
Speaker 1: your bank account existed for only three sixty four days

1087
01:02:59,760 --> 01:03:03,919
Speaker 1: this year. Yeah, I mean his wife donated one point

1088
01:03:04,000 --> 01:03:09,000
Speaker 1: five billion dollars to uh black Lives Matter charity and

1089
01:03:09,760 --> 01:03:13,120
Speaker 1: like two days later, should already replace that just with

1090
01:03:13,240 --> 01:03:17,640
Speaker 1: gains from Amazon stock growth, Like just in two days. Yeah,

1091
01:03:18,080 --> 01:03:20,520
Speaker 1: that's yeah. So that's the other thing. So when you

1092
01:03:20,560 --> 01:03:23,000
Speaker 1: look at what we do, like, yeah, we have all

1093
01:03:23,040 --> 01:03:25,439
Speaker 1: these people that are hoarding wealth. It's not going back

1094
01:03:25,560 --> 01:03:28,360
Speaker 1: into the economy, it's not from it's not accessible to

1095
01:03:28,480 --> 01:03:31,880
Speaker 1: people who are trying to enter a new social economics,

1096
01:03:31,880 --> 01:03:35,160
Speaker 1: socio economic class. It's just not there because they're sitting

1097
01:03:35,240 --> 01:03:36,840
Speaker 1: on it. And if we don't have the kind of

1098
01:03:36,960 --> 01:03:40,040
Speaker 1: leaders who are going to actually sort of clearly look

1099
01:03:40,080 --> 01:03:42,320
Speaker 1: at that as an issue and say, yeah, the problem

1100
01:03:42,480 --> 01:03:45,560
Speaker 1: is there are too few people with all the money.

1101
01:03:46,320 --> 01:03:49,080
Speaker 1: So uh sorry, we're gonna have to you know, you

1102
01:03:49,360 --> 01:03:52,200
Speaker 1: have to run that we need some money now. Yeah.

1103
01:03:52,640 --> 01:03:55,080
Speaker 1: Is that not any indication anybody that it's not based

1104
01:03:55,120 --> 01:03:59,000
Speaker 1: on anything. Also, if you can replace one point five

1105
01:03:59,080 --> 01:04:02,520
Speaker 1: billion dollars in a couple of days, does that not

1106
01:04:02,680 --> 01:04:04,720
Speaker 1: clue you in that like this ship isn't really real.

1107
01:04:05,840 --> 01:04:09,840
Speaker 1: You know, imckenzie Scott actually gave the money to historically

1108
01:04:09,880 --> 01:04:12,640
Speaker 1: black colleges and other groups. There's one point seven billion

1109
01:04:12,960 --> 01:04:16,160
Speaker 1: just too Okay, sure I get that right. Yeah, it's

1110
01:04:16,200 --> 01:04:19,240
Speaker 1: a it's a problem thing. It thinks it's not it's

1111
01:04:19,240 --> 01:04:21,320
Speaker 1: not working. The system is not working, and this is

1112
01:04:21,400 --> 01:04:23,800
Speaker 1: just you know, like we said at the outset, there's

1113
01:04:23,880 --> 01:04:26,760
Speaker 1: like a stress test for you know, when they when

1114
01:04:26,800 --> 01:04:28,560
Speaker 1: they want to see how healthier heart is, so they

1115
01:04:28,640 --> 01:04:30,680
Speaker 1: put you on a treadmill and make you walk uphill

1116
01:04:30,800 --> 01:04:34,080
Speaker 1: for a mile like that. That is this for a

1117
01:04:34,200 --> 01:04:40,680
Speaker 1: country And we're like three from the eyes. Yeah, it's

1118
01:04:40,720 --> 01:04:44,440
Speaker 1: not good issue is it? Definitely is working Like this

1119
01:04:44,640 --> 01:04:46,680
Speaker 1: is kind of how it's designed, you know. Yeah, it's

1120
01:04:46,840 --> 01:04:50,440
Speaker 1: you're not Yeah, you're fully You're not valuable to this

1121
01:04:50,560 --> 01:04:52,760
Speaker 1: system if you don't if you can't provide labor, and

1122
01:04:52,920 --> 01:04:55,400
Speaker 1: right now nobody can provide labor, so none of us

1123
01:04:55,440 --> 01:04:58,640
Speaker 1: are valuable, you know. And we're having a hard time

1124
01:04:58,720 --> 01:05:02,920
Speaker 1: of pivoting away from that too of like purely productivity

1125
01:05:03,040 --> 01:05:06,640
Speaker 1: based automatons clocking in and out, watching revenue come in

1126
01:05:06,720 --> 01:05:11,040
Speaker 1: and out, to something more humane of like, wow, this

1127
01:05:11,240 --> 01:05:15,000
Speaker 1: is really fucked up, Like but you know, most people

1128
01:05:15,040 --> 01:05:18,280
Speaker 1: in this country, we are not able to survive even

1129
01:05:18,360 --> 01:05:22,000
Speaker 1: not working for five days, So what are we going

1130
01:05:22,120 --> 01:05:24,160
Speaker 1: to do? And I mean, I mean there there is

1131
01:05:24,320 --> 01:05:27,200
Speaker 1: more momentum gaining for people sort of engaging with the

1132
01:05:27,280 --> 01:05:30,520
Speaker 1: ideas of universal basic income and things like that, because yeah,

1133
01:05:30,600 --> 01:05:34,080
Speaker 1: like when you're working like a full on a minimum

1134
01:05:34,120 --> 01:05:37,320
Speaker 1: ways job, and or and you have multiple jobs. That

1135
01:05:37,480 --> 01:05:39,880
Speaker 1: is not a life. That's not a way to live.

1136
01:05:40,120 --> 01:05:44,280
Speaker 1: It's a struggle and it's painful, and it's unfortunately how

1137
01:05:44,920 --> 01:05:46,760
Speaker 1: this this country just sort of looks at what the

1138
01:05:47,040 --> 01:05:49,040
Speaker 1: human experience should be, like, well, they're working. It's a

1139
01:05:49,200 --> 01:05:51,560
Speaker 1: hard work, you know, you gotta work hard. It means

1140
01:05:51,600 --> 01:05:54,000
Speaker 1: like no, no, no, they can't see their families. They

1141
01:05:54,080 --> 01:05:56,840
Speaker 1: can't They don't have any time for themselves. They are stressed,

1142
01:05:56,840 --> 01:05:59,000
Speaker 1: their health is in decline. That is not a way

1143
01:05:59,080 --> 01:06:01,640
Speaker 1: to live. That is just being run ragged for the

1144
01:06:01,720 --> 01:06:05,919
Speaker 1: sake of maximum revenue extraction. It's it's so morbidly funny

1145
01:06:05,960 --> 01:06:09,040
Speaker 1: to me that just like people are now being booted

1146
01:06:09,080 --> 01:06:12,320
Speaker 1: out of their jobs by automation and they're not given

1147
01:06:12,360 --> 01:06:15,400
Speaker 1: a safety net to replace that income. And now those

1148
01:06:15,680 --> 01:06:18,480
Speaker 1: robots that are taking their jobs are producing products that

1149
01:06:18,640 --> 01:06:21,919
Speaker 1: nobody needs, just like ship that goes into a fucking

1150
01:06:21,960 --> 01:06:24,840
Speaker 1: infomercial and they're just like, Okay, who's buying Now they're

1151
01:06:24,880 --> 01:06:28,560
Speaker 1: going straight to a landfill. We're trying to create demand

1152
01:06:28,640 --> 01:06:32,800
Speaker 1: for a product that barely replaces a toothbrush. Yeah, you know,

1153
01:06:33,600 --> 01:06:37,520
Speaker 1: And now and purely the capitalist machine just like feeding

1154
01:06:37,560 --> 01:06:40,760
Speaker 1: into itself and providing for no one. Just give these

1155
01:06:40,800 --> 01:06:44,000
Speaker 1: oligarchs to take their money, give them a nice prize,

1156
01:06:44,080 --> 01:06:45,840
Speaker 1: like you said, Jack, what is it like you you

1157
01:06:45,920 --> 01:06:49,480
Speaker 1: won Capitalism Award? You were like, and now you know

1158
01:06:49,640 --> 01:06:51,600
Speaker 1: we're going to patch your pockets and now you're savings

1159
01:06:51,720 --> 01:06:54,840
Speaker 1: is actually only down to twenty million dollars. Thanks for playing.

1160
01:06:54,960 --> 01:06:57,240
Speaker 1: But you'll be fine with twenty million dollars, asshole. I'll

1161
01:06:57,280 --> 01:07:00,880
Speaker 1: leave me alone. They would fight to they to prevent

1162
01:07:01,000 --> 01:07:05,000
Speaker 1: that from happening. I mean where they would be left

1163
01:07:05,080 --> 01:07:08,480
Speaker 1: one billion dollars. They would get their own Pinkerton's and

1164
01:07:08,520 --> 01:07:10,560
Speaker 1: shipped to beat as all that you know, I mean

1165
01:07:10,760 --> 01:07:14,200
Speaker 1: you could only imagine what that game looks like when

1166
01:07:14,520 --> 01:07:16,920
Speaker 1: the wealth of these billionaires is at steak and they

1167
01:07:17,000 --> 01:07:22,560
Speaker 1: find a way to privatize. Oh, we would lose quickly

1168
01:07:22,960 --> 01:07:26,960
Speaker 1: in the in in that in the current version of America,

1169
01:07:27,040 --> 01:07:29,600
Speaker 1: if that, if that fight happened, we would lose that

1170
01:07:29,760 --> 01:07:33,920
Speaker 1: fight very quickly. Um, well you doya, it has been

1171
01:07:34,080 --> 01:07:38,320
Speaker 1: a pleasure having you on the show. Uh, despite the

1172
01:07:38,480 --> 01:07:41,840
Speaker 1: depressing state of our nation. Where can people find you

1173
01:07:41,920 --> 01:07:44,920
Speaker 1: and follow you? Um? You can find me all over

1174
01:07:45,040 --> 01:07:48,920
Speaker 1: I am at professor do on Instagram, your doot on Twitter.

1175
01:07:49,920 --> 01:07:52,160
Speaker 1: Got a new podcast out with crunchy Roll called Anime

1176
01:07:52,280 --> 01:07:55,520
Speaker 1: in America. Third episode just dropped. I guess this is

1177
01:07:55,600 --> 01:07:59,720
Speaker 1: coming out tomorrow. So yesterday and I got stand up

1178
01:07:59,720 --> 01:08:03,480
Speaker 1: clips all over the place. Yeah, yeah, some great ones. Uh.

1179
01:08:03,680 --> 01:08:05,760
Speaker 1: Is there a tweet or some other work of social

1180
01:08:05,840 --> 01:08:09,920
Speaker 1: media you've been enjoying? Um? Yeah, So this is from

1181
01:08:10,000 --> 01:08:14,520
Speaker 1: a friend of mine, Dante Powell. Um. And he said

1182
01:08:14,600 --> 01:08:16,760
Speaker 1: in the he said last week, he said, if you're

1183
01:08:16,800 --> 01:08:19,920
Speaker 1: not calling Terry crews Jim Crow spelled g y m,

1184
01:08:20,360 --> 01:08:24,120
Speaker 1: and you're wasting your time. That's such a good that too.

1185
01:08:24,280 --> 01:08:30,559
Speaker 1: That that was yesterday's guests. Oh no, it's so good

1186
01:08:30,680 --> 01:08:35,320
Speaker 1: that it deserves it. I have a I have a

1187
01:08:35,400 --> 01:08:37,880
Speaker 1: secondary one if you want that. Yeah, yeah, let's do it. Okay.

1188
01:08:37,960 --> 01:08:40,920
Speaker 1: This one is from at kennuck k E n n

1189
01:08:41,080 --> 01:08:43,720
Speaker 1: U c K. It says, uh, this is an unfortunate

1190
01:08:44,560 --> 01:08:47,439
Speaker 1: instance of a tweet with a typo blowing up, but

1191
01:08:47,479 --> 01:08:50,320
Speaker 1: it says, my son is wearing a Magma cap supposed

1192
01:08:50,320 --> 01:08:52,920
Speaker 1: to be Mega. My son is wearing a Mega cap

1193
01:08:53,240 --> 01:08:56,519
Speaker 1: and a vote Trump button. He's been spat on, punched,

1194
01:08:56,560 --> 01:08:58,960
Speaker 1: and verbally abused. I hate to think what will happen

1195
01:08:59,000 --> 01:09:03,040
Speaker 1: when he leaves the house? That was so good? Uh? Miles,

1196
01:09:03,040 --> 01:09:05,040
Speaker 1: where can people find you? Follow you? What the tweet

1197
01:09:05,040 --> 01:09:09,920
Speaker 1: You've been enjoying Twitter, Instagram, PlayStation Network from time to time.

1198
01:09:09,960 --> 01:09:12,720
Speaker 1: Although I'm fully lost in Ghost of Tsushima right now,

1199
01:09:12,800 --> 01:09:15,920
Speaker 1: so it's not really we're not playing together. I'm just

1200
01:09:16,240 --> 01:09:18,719
Speaker 1: I'm sorry. I'm sucky gin right now. And my uncle's

1201
01:09:18,800 --> 01:09:21,479
Speaker 1: name is Jing, so like I'm I'm in there. Uh,

1202
01:09:21,600 --> 01:09:23,479
Speaker 1: And I'm like calling my other Japanese friends were like

1203
01:09:23,520 --> 01:09:25,600
Speaker 1: what part do you add? And all laughing because like

1204
01:09:25,720 --> 01:09:28,120
Speaker 1: all of our family members have like hello, old samurai

1205
01:09:28,160 --> 01:09:29,920
Speaker 1: era names, like they're like these are all are like

1206
01:09:30,080 --> 01:09:34,519
Speaker 1: moms and aunts names. Not the coolest Japanese names anyway. Uh.

1207
01:09:34,600 --> 01:09:37,559
Speaker 1: And also other podcast for twenty day Fiance with Sophia Alexander.

1208
01:09:37,600 --> 01:09:39,640
Speaker 1: We just get high talking about ninety day Fiance just

1209
01:09:39,720 --> 01:09:41,479
Speaker 1: to get our mind off this other ship. So some

1210
01:09:41,560 --> 01:09:44,080
Speaker 1: tweets that I like. First one is from at Shay

1211
01:09:44,320 --> 01:09:47,200
Speaker 1: Lounger h E l a U n g r uh

1212
01:09:47,280 --> 01:09:50,200
Speaker 1: says playing piano is so easy you simply depressed the

1213
01:09:50,280 --> 01:09:58,320
Speaker 1: key indicated on the sheet music a child's instrument assessment

1214
01:10:00,000 --> 01:10:03,160
Speaker 1: in Anotherland's from Brody read at ao bro bro saying

1215
01:10:03,240 --> 01:10:05,720
Speaker 1: hosting Ellen should be the tig Nataro Twitter account of

1216
01:10:05,800 --> 01:10:11,160
Speaker 1: daytime talk shows. Agree with that ship. Yeah, for people

1217
01:10:11,160 --> 01:10:14,759
Speaker 1: who don't know, tig Nataro famously basically lets a comedian

1218
01:10:15,000 --> 01:10:18,320
Speaker 1: every day just tweet from her account and just put

1219
01:10:18,400 --> 01:10:21,560
Speaker 1: somebody else on that pedestal. But yeah, so yeah, a

1220
01:10:21,600 --> 01:10:24,639
Speaker 1: few years ago, I'd like to revisit. Yeah, yeah, yeah,

1221
01:10:25,400 --> 01:10:28,519
Speaker 1: Brody actually has the Twitter I wanted to share some

1222
01:10:28,680 --> 01:10:32,960
Speaker 1: Mashable shared this video thumb prosthetic built for those unsatisfied

1223
01:10:33,040 --> 01:10:37,240
Speaker 1: with having five fingers, The video of the thing where

1224
01:10:37,400 --> 01:10:40,479
Speaker 1: people have a sixth finger that they're using in all

1225
01:10:40,520 --> 01:10:42,720
Speaker 1: sorts of different ways. In Brody tweeter, you thought you

1226
01:10:42,760 --> 01:10:47,200
Speaker 1: were done masturbating this quarantine? Yeah, you can find us.

1227
01:10:47,320 --> 01:10:49,479
Speaker 1: You can find me on Twitter. Jack Underscore O'Brien, you

1228
01:10:49,520 --> 01:10:51,760
Speaker 1: can find us on Twitter at daily Zeitgeis. Were at

1229
01:10:51,840 --> 01:10:54,479
Speaker 1: the Daily Zeitgeis on Instagram. We have a Facebook fan

1230
01:10:54,520 --> 01:10:57,439
Speaker 1: page and a website Daily zyuys dot com Boy post

1231
01:10:57,560 --> 01:11:00,920
Speaker 1: our episodes and our foot We link off to the

1232
01:11:01,000 --> 01:11:03,800
Speaker 1: information that we talked about in today's episode as well

1233
01:11:03,960 --> 01:11:07,559
Speaker 1: as the song we ride out on mild What are

1234
01:11:07,600 --> 01:11:10,320
Speaker 1: we riding out on today? Uh? This is a track

1235
01:11:10,400 --> 01:11:15,120
Speaker 1: called one two three. Uh. It's and I was doing

1236
01:11:15,160 --> 01:11:18,040
Speaker 1: the tank crack commandments for those people who were about

1237
01:11:18,080 --> 01:11:21,040
Speaker 1: hip hop. Um. But it's from L. Michael's Affair, which

1238
01:11:21,520 --> 01:11:24,240
Speaker 1: is a great band, and I like them because they're

1239
01:11:24,280 --> 01:11:27,240
Speaker 1: just live instruments like they play their multi instrumentalists. I

1240
01:11:27,280 --> 01:11:29,880
Speaker 1: think it's actually he'll play with the band, but the

1241
01:11:30,040 --> 01:11:33,800
Speaker 1: man Leon Michael's who's like, you know, who's project it is.

1242
01:11:34,439 --> 01:11:37,640
Speaker 1: They do everything like they did a fully instrumental like

1243
01:11:37,800 --> 01:11:41,439
Speaker 1: with band instruments. Uh. It's called Enter the thirty seven

1244
01:11:41,600 --> 01:11:43,720
Speaker 1: Chamber where they're just covering Wu Tang songs with a

1245
01:11:43,800 --> 01:11:46,360
Speaker 1: full band. Uh. Then there's like they've got a ton

1246
01:11:46,400 --> 01:11:48,639
Speaker 1: of really cool stuff like that, uh and cover hip

1247
01:11:48,680 --> 01:11:51,040
Speaker 1: hop tracks. But this one, um, I'm not sure what

1248
01:11:51,240 --> 01:11:54,760
Speaker 1: it's from, but it's just a really really so it

1249
01:11:54,920 --> 01:11:57,720
Speaker 1: feels like a sample based track, but it's all just

1250
01:11:58,000 --> 01:12:00,320
Speaker 1: you know, it's got the perfect little pedals and things

1251
01:12:00,360 --> 01:12:02,920
Speaker 1: on the electric piano and bass and drums that it's

1252
01:12:03,000 --> 01:12:05,479
Speaker 1: just got a great vibe and there's like somebody speaking

1253
01:12:05,520 --> 01:12:07,760
Speaker 1: Japanese in the background. It's just kind of so check

1254
01:12:07,800 --> 01:12:12,760
Speaker 1: out what do you Dope Well? The Daily s Eye

1255
01:12:12,760 --> 01:12:15,160
Speaker 1: Guys is a production by Heart Radio. For more podcasts

1256
01:12:15,160 --> 01:12:17,439
Speaker 1: on my Heart Radio, but the Heart Radio app, Apple

1257
01:12:17,479 --> 01:12:20,360
Speaker 1: podcast or wherever you listen your favorite shows. That is

1258
01:12:20,360 --> 01:12:22,400
Speaker 1: going to do it for us this morning. We'll be

1259
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Speaker 1: back to this afternoon to tell you what's trending and

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Speaker 1: we'll talk to you then by you. I don't need

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Speaker 1: the mon