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

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Speaker 1: three of Joe Daly's Night Guys to production of I

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Speaker 1: Heart Radio. This is a podcast we take a deep

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Speaker 1: dive into American share consciousness and say officially off the top,

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Speaker 1: coke industries and fuck Fox News. It's Wednesday, July three,

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Speaker 1: two thousand nine. Team. My name's Jack O'Brien a ka

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Speaker 1: poor Someme Jack O'Brien from Hannah Saultus and Deaf Leppard,

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Speaker 1: and I'm thrilled to be joined by today's co host

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Speaker 1: us till other copy from when you Weren't here. I'm

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Speaker 1: thrilled to be still as always by my co host,

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Speaker 1: Mr Miles Yes, it is Miles Gray. Thank you already

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Speaker 1: to add Andy Rackfordy's antagram, I'm about to hit you it.

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Speaker 1: I'm very jealous of Caitlin Darante's name and all the

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Speaker 1: just amazing ways her name becomes many other words. So

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Speaker 1: it's Miles Gray a K, Mary Giles a K, I'm

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Speaker 1: liar gas a k A say rim jail jail, ki,

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Speaker 1: slid gamer, slimy rag and misery gall Misery is my carnival. Yeah,

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Speaker 1: costably I do where I'm like a like a goth

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Speaker 1: sort of Trinidadian dancer, Trini dancer, misery gap anagrams so much? Uh,

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Speaker 1: what's the instagram in the Da Vinci Code, which is

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Speaker 1: like intellectual like puzzles for dumb people where it's like

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Speaker 1: it ends up being Leonardo da Vinci. But it's like,

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Speaker 1: I it's like I felt like that was like, like

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Speaker 1: all my friend's dads were like, man, yeah, yeah, Dan Brown.

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Speaker 1: My dad like was like, you gotta read. And then

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Speaker 1: what was ether like angels and demons or something, Angels

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Speaker 1: in the upfield? Yeah, right, exactly. Well, we are thrilled

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Speaker 1: to be joined in our third scene by one of

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Speaker 1: the great guests of the Daily Zy Guys. He is

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Speaker 1: the hilarious and talented Mr cress Croft. Hey, what's up

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Speaker 1: you doing. I didn't know what I was supposed to

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Speaker 1: talk about the Da Vinci Code because I hadn't been introduced. Yeah,

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Speaker 1: well now you can. I'm one of those old dudes

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Speaker 1: who read in den and it was like, well, I

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Speaker 1: was like exciting, Yeah, you're telling it. Yeah, well, I

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Speaker 1: mean it doesn't seem like it's a not exciting yeah

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Speaker 1: kind of mystery. I like, I was if it's not true?

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Speaker 1: I like it. I was in my twenties. Even if

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Speaker 1: it's mean, we're supposed to be true and it's kind

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Speaker 1: of disproven, I still stay on pretend it's true. I

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Speaker 1: think it must have been true. Yeah, there's obviously truth

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Speaker 1: to or else you won't be writing about it. Holy Blood,

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Speaker 1: Holy Grail. Do you know that book? Okay? Holy Holy

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Speaker 1: Blood Holy Grail is a book that is about like

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Speaker 1: some month that found secret papers in a in a

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Speaker 1: pillar in an old like Templar monastery and stuff, and

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Speaker 1: it's like they wrote a whole book and it's really convincing,

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Speaker 1: and then just turns out the whole thing is a fraud.

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Speaker 1: But I refuse to concede that it's a fraud, even

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Speaker 1: though the people who made it said it's a fraud.

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Speaker 1: But I'm still like, I don't think that they're saying

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Speaker 1: it's a fraud because it's too real and trying to

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Speaker 1: keep it still double on the double downwall. So your

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Speaker 1: point to your temple when you say they, I mean,

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Speaker 1: there's some very interesting ideas built into the Da Vinci

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Speaker 1: Code that are true, like that society was constructed for

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Speaker 1: men to control women somewhat, and like the current iteration

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Speaker 1: of society, Western society, and the one instituted by the

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Speaker 1: Catholic Church. Like those are very interesting thoughts on history. Uh,

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Speaker 1: I just don't know. I don't even know what the

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Speaker 1: da Vinci code really is. I think it's what is

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Speaker 1: it somebody in the left right, left right a b

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Speaker 1: start select or something like that. It's like the the

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Speaker 1: bald guy that there was some guy the Last Supper

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Speaker 1: that was bald um and that many was. That's a

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Speaker 1: code or something like there's like a guy in the

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Speaker 1: painting that's got or something like that. He's like tweeting

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Speaker 1: about it. He's like, I don't how to use a

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Speaker 1: codex already, Yeah, something like like like the Beatles with

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Speaker 1: one Paul was airfoot and that means he's dead kind

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Speaker 1: of thing. Remember on the Abbey Road cover where they

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Speaker 1: were like Paul's barefoot, that means he's dead, which seems

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Speaker 1: like a dead Yeah, how's your cold brews? It's cooking.

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Speaker 1: I didn't drink cold brew all morning. I know you

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Speaker 1: said I'm saving it because I saved it for the show,

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Speaker 1: and I had the most miserable ride over here. I

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Speaker 1: thought like I had the darkest thoughts. I was like

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Speaker 1: on the way over here, like life isn't worth living?

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Speaker 1: And then I had some cold brew and feel worth living.

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Speaker 1: I want I want to find out about the Da

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Speaker 1: Vinci code. Solve history. Yeah, I want to decode you

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Speaker 1: know what, fucking man? You guys want to go to

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Speaker 1: Italy right now? I want to decode all the codes?

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Speaker 1: How can you have your pack bags packed for Rome? Um?

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Speaker 1: I just love that the book is like the all

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Speaker 1: this information that is like historically relevant and you know,

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Speaker 1: interesting theories on history is like hidden within all these

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Speaker 1: like Sudoku, like pug right right, like all right, and

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Speaker 1: good at puzzles. For now, you must solve the New

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Speaker 1: York Times crossword puzzle. Uh to t it this next clue? Anyways, Chris,

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

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

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

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Speaker 1: we are going to take a brief tour. So Chris

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Speaker 1: is a double threat, a musician, comedian, uh, performer, so

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Speaker 1: maybe a triple threat, but we're we're going to take

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Speaker 1: a tour of a brilliant release from the triple threat

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Speaker 1: Jeremy Renner. Uh he is an actor. He is a

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Speaker 1: house flipper, and he is we are now learning a musician. Uh.

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Speaker 1: And he teased us all, had us all begging for

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Speaker 1: it with his uh, with his release on Twitter of

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Speaker 1: himself in the studio scat scatting. No, uh, not scatch

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Speaker 1: putting down a vocal track to be with it sounded

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Speaker 1: a little bit like scatting. It was influenced by scatting. Anyways,

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Speaker 1: we're gonna listen to that song. Uh. And I want

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Speaker 1: to get your thoughts, Chris, I can't wait. We're going

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Speaker 1: to talk about which. Jeremy Renner, Yeah, he was. He

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Speaker 1: was the guy in Solo. He played solo in the

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Speaker 1: New Hand Solo movie. Ye hailed it. That could be true.

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Speaker 1: Nobody saw that we're gonna talk about I was all right, yeah,

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Speaker 1: I've heard. It's all right. It's not as bad as

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Speaker 1: the sort of It's like water World. Water World got

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Speaker 1: this reputation for being this like horrible movie because it

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Speaker 1: didn't make it amazing. Water World's great. Jeremy Renner is

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Speaker 1: also in that. Yeah, a little kid, a little bit.

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Speaker 1: He's in that. He was in Batman, Yeah, yeah, Batman, Batman. Yeah. Uh,

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Speaker 1: we're gonna talk about where the Democratic candidates stand entering

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Speaker 1: uh the fourth of July holiday. I guess after the debates,

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Speaker 1: we're going to talk about where the Democratic candidates stand

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Speaker 1: with regards to how much money they raised last quarter.

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Speaker 1: And then we're gonna talk about border patrol. Uh, and

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Speaker 1: specifically you know, Fox trend to defend them. They're like,

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Speaker 1: people are coming for the border patrol. You need to

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Speaker 1: shut up, leave these guys alone. Think about the guys

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Speaker 1: with the guns. Why don't you The Fox News loves

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Speaker 1: people and outfits like uniforms, doesn't matter what kind they are.

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Speaker 1: That's true, except for football players. That guy is a uniform.

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Speaker 1: Stop yelling at them. We're gonna talk about the l

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Speaker 1: a Times Spicy Snack Power ranking list. And by the way,

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Speaker 1: we need to mention you do need to refrigerate your eggs.

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Speaker 1: We talked yesterday about how other countries don't refrigerate their eggs.

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Speaker 1: That's because the f d A in these United States

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Speaker 1: of America makes farmers wash off an extra additional layer

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Speaker 1: of the egg. UH. That layer is like a protective

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Speaker 1: layer that keeps the bacteria from getting into the egg.

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Speaker 1: And so in the United States, because our eggs don't

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Speaker 1: have that layer they need to be refrigerated. In other

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Speaker 1: countries they leave that layer of filth on and uh

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Speaker 1: it protects the eggs from getting bacteria. Chris, what is

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Speaker 1: something from your search history that's revealing about who you are? Well?

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Speaker 1: I feel like I've already used all the good, really

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Speaker 1: good ones, because mostly I do search for just metal

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Speaker 1: detecting videos and magnet fishing videos and mud larking videos.

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Speaker 1: But I do also like to um look up anything

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Speaker 1: about Bigfoot, and once again like I don't really care

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Speaker 1: if it's a percent true, I like to cost you know,

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Speaker 1: I don't care if it's a very Now I think, okay,

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Speaker 1: now these guys, you guys have actually heard me talk

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Speaker 1: about this in private, because this is something I talked

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Speaker 1: about a lot. Which is this thing that I've found

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Speaker 1: out that like just doing my usual just seeing if

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Speaker 1: there's anything new on the bigfoot news front, like on YouTube,

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Speaker 1: which is best probably for bigfoot news, I find. Um.

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Speaker 1: It turns out that when Mount st Helen's erupted in

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Speaker 1: like already, it's I've lost your hal Do you remember

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Speaker 1: Mount st Helens when it blew up in the it's

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Speaker 1: like the biggest volcanic eruption in the contiguous United States,

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Speaker 1: so apparently. So I'm like watching this thing like Mount St.

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Speaker 1: Helen's big Foot Bodies was like the thing on YouTube,

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Speaker 1: and I was like, what what that sounds good? So

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Speaker 1: I don't care. Maybe there was only one big It's

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Speaker 1: one of those documentaries made by some nuts, you know,

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Speaker 1: like just like but but once again, like I'm made

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Speaker 1: by a nut. Surprised it's a bigfoot. But anyway, I

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Speaker 1: think Bigfoot's real, but it's a separate thing. Wait. Wait,

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Speaker 1: this guy made a little documentary and says, okay, when

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Speaker 1: Mole st Helens erupted, the Army Corps of Engineers did

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Speaker 1: what they always do, which they went up and they

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Speaker 1: collected all the animal bodies because they didn't want disease

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Speaker 1: to spread. So they went up there with a helicopter

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Speaker 1: and I guess like a bag or whatever, and they

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Speaker 1: and they filled it up with all the animal as

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Speaker 1: they were dead on mountain. Yeah. I was already like

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Speaker 1: when I heard that, I was like kind of like,

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Speaker 1: I was already like, well, that's kind of I didn't

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Speaker 1: know they did that. It was like the first thing

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Speaker 1: I thought was I didn't know that they did that.

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Speaker 1: After every disaster they collect all the dead animals. I

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Speaker 1: had no idea that happened. So I was that did

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Speaker 1: kind of make me think, huh, it's weird. I don't

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Speaker 1: know they do that. They do that, Okay, So anyway,

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Speaker 1: then this is when it got Also, I was still

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Speaker 1: I got a little more skeptical when they said they

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Speaker 1: put all the animals in separate stacks at the bottom

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Speaker 1: of the mountain. So like there was a stack of

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Speaker 1: like elk, and like I mean I just identified by

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Speaker 1: family members, So it was like a stack of elk,

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Speaker 1: I guess, and a stack of like deer, and then

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Speaker 1: a stack of like raccoons or whatever, and then they

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Speaker 1: have one stack under a tarp. This relate is true.

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Speaker 1: This is not a joke. This so after the Armony

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Speaker 1: Corps of Engineers gets all the animals like they do

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Speaker 1: and put them on an arc. Just kidding, but that's

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Speaker 1: what it sounds like they're doing underneath the tarp. One

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Speaker 1: of the one of the somebody's uncle who was in

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Speaker 1: the Army Corps of Engineers talked to this documentary filmmaker

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Speaker 1: and told him that he went and looked under the

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Speaker 1: tarp and that was a pile of big foots. And

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Speaker 1: I'm going to assume that was the shortest pile, right,

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Speaker 1: you know what I mean, There probably wasn't that. I mean,

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Speaker 1: I'm sure when they're dead, they're just laying down, and

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Speaker 1: there aren't that many, That's what I'm thinking. Apparently there

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Speaker 1: was a tremendous bigfoot population on Mountain North, and so

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Speaker 1: they were very negatively impact by this explosion. Benefit well,

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Speaker 1: I mean, so this is this gets further so then

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Speaker 1: that somebody else's uncle, it's always somebody's uncle also looked

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Speaker 1: under the tarp. No, he was working. Not only under

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Speaker 1: the tarp was there a bunch of big foots, But

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Speaker 1: then there was a medical tent where big foots were

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Speaker 1: being or big feet, and no one knows. That's another

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Speaker 1: that's another mystery. And I don't care if that's only

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Speaker 1: a big foot knows. And you can never get him

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Speaker 1: to say, so, do you guys go by big foots

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Speaker 1: or feet? He can't. Yeah, but you need medical care.

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Speaker 1: This this guy who worked for the Army Corps of Engineers,

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Speaker 1: his uncle or whatever, he said that he stood by

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Speaker 1: this medical tent and he thought that just these tall

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Speaker 1: guys in big overcoats were going into the medical tent

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Speaker 1: and and and getting bandaged up. But then he noticed

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Speaker 1: one of them had like a huge amount of hair

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Speaker 1: on his wrist or something, and he was like, oh

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Speaker 1: my god, these are big foots they're treating that didn't

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Speaker 1: die in the thing. Then this other guy, another person's uncle,

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Speaker 1: uh or stepdad or somebody who worked for the or

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Speaker 1: whatever it was a checked These are all checked out,

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Speaker 1: whatever uncle, all official titles step that there's somebody's uncle.

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Speaker 1: I don't know, just because just to prove that it's

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Speaker 1: not some random guy says that somebody's uncle to a family.

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Speaker 1: It's a legit person. This guy knows people, he's got

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Speaker 1: you know this guy. Yeah, So so anyway, he said

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Speaker 1: that there. This is where I really I doubt this

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Speaker 1: is true. But I don't know that there was an

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Speaker 1: army corps of engineers. Guy was talking big foot to

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Speaker 1: a big foot and that the ideas that government knows

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Speaker 1: about big foots. They talked to him. I don't know

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Speaker 1: what they talk to them about, because like good tips

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Speaker 1: on child rearing. But if they can talk to him,

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Speaker 1: why didn't they tell him ahead of time to clear

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Speaker 1: out of the mountain If there's gonna I mean everybody

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Speaker 1: knew that mount was gonna blow up. Well that because

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Speaker 1: you know, I think of what color the big feet are.

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Speaker 1: If they were white, they maybe would have got the message.

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Speaker 1: Because they're brown. Yetti are treated better. Yes, yeties are

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Speaker 1: treated Yes, we all know about Yetis and all yetie

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Speaker 1: lives matter. Looks they got for that ship. But big feet,

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Speaker 1: I mean misrepresented, you know what I mean. And but

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Speaker 1: whenever I mentioned this story to people, they always are like,

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Speaker 1: first of all, what are you talking about? The Army

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Speaker 1: Corps of Engineers collects all the animals after disasters, and

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Speaker 1: that's when it's everybody else for for them it falls apart.

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Speaker 1: I'm easy to just I'm easy. I'll skip right over.

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Speaker 1: And then the next thing is I'm like, yeah, maybe

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Speaker 1: they don't do that, but maybe they do. I don't know.

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Speaker 1: I'm I don't work for I don't have an uncle

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Speaker 1: in the Army Corps of Engineers. Like, sure, sir, again,

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Speaker 1: this is a Wendy's So what is your order? Uh?

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Speaker 1: Do they do? The Army corp of Engineer go out

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Speaker 1: into the woods when like on an ordinary day and

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Speaker 1: collect any animals that happened to die just in case.

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Speaker 1: I mean, I'm only agreeing with this because I saw

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Speaker 1: a chernobyl and I know that the dudes are shooting animals,

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Speaker 1: and I'm like that because they wander from sure, but again,

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Speaker 1: you know, maybe they were worried about zombie animals. Anyway,

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Speaker 1: it's just go ahead. I'm just gonna say, like a

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Speaker 1: tie in for this is that that just got me

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Speaker 1: going into deeper stuff that I didn't know about, like

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Speaker 1: group of gold prospectors uh um uh we're attacked by

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Speaker 1: big foots with boulders and uh. The canyon that they

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Speaker 1: that happened in is called Ape Canyon now for real,

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Speaker 1: for real, it's on the map. So yeah, exactly so,

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Speaker 1: And I don't care if it's true. So anyway, I

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Speaker 1: think it's fun. I don't know if it's true. But

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Speaker 1: you know, I've heard that story before about the tarp uh,

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Speaker 1: and I don't know, it feels like to me, it

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Speaker 1: feels like to me, they would probably do something more elaborated.

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Speaker 1: I do feel like that's probably why Why not just

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Speaker 1: drag them elsewhere like they put the tarps? How securely

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Speaker 1: they put them on there? Why were they letting why

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Speaker 1: were they letting people peek? Dude, if you if you

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Speaker 1: need medical, go to the tent, but put a hat on,

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Speaker 1: trying and play it low key. What did they do?

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Speaker 1: Apparently there must have been a basketball team on overcoats

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Speaker 1: up on the mountain. Oh wait a minute, they're extremely hairy.

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Speaker 1: Oh my god, like that they it's like it's not

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Speaker 1: a basketball team. That's big foots and overcoats or big

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Speaker 1: feet total cartoon logic. Yeah, but it wasn't till the

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Speaker 1: wrist hair it is, sir, do you have the time?

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Speaker 1: And then he pulls back. Great, you don't even have

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Speaker 1: You don't even have a watch. Wait a minute, I

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Speaker 1: have to get back to my kids, you know. Engineers

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Speaker 1: asks him in Bigfoot, what time it is? This first

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Speaker 1: act has gone off the rail? Christ? What is up?

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Speaker 1: Do you think it's overrated? I think overrated is being

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Speaker 1: in a bad mood. Okay, fantastic. Yeah, people too often

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Speaker 1: say that's a good thing. Well, I think that this

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Speaker 1: is the here's the thing because UFOs basically UFOs have

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Speaker 1: recently been pretty much like announced to be real and

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Speaker 1: there's nobody can be mad about it. They just skipped

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Speaker 1: over it and went straight to Betsy Ross Nikes. Like

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Speaker 1: I mean, like we should be excited. Oh yeah, I

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Speaker 1: for one one to meet our alien overlords. But but

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Speaker 1: there's nothing that it's much. I'm just saying, like, you know,

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Speaker 1: like you can be psyched about aliens being real because

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Speaker 1: that makes everything feel like then that's I don't know,

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Speaker 1: that's hopeful, like maybe there's more to this life than

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Speaker 1: just your ship doesn't matter then just getting upset. And

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Speaker 1: so I just was thinking like about that. I was

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Speaker 1: thinking about UFOs being real would be normally a great thing,

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Speaker 1: but nobody knows how to yell about it. So they

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Speaker 1: just are like, oh wow, that sucks. Who cares wants

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Speaker 1: to acknowledge how um inconsequential their own life might be.

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Speaker 1: It's like, well, if that's true, then maybe it is

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Speaker 1: a gigantic expanding universe where I'm nothing but a piece

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Speaker 1: of fucking bacteria on a rock. But but then, but

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Speaker 1: but I want to get mad at the manager of

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Speaker 1: Chipotle right now exactly. And I think there's no way

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Speaker 1: to tweet effectively about aliens being real, um in any

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Speaker 1: kind of snappy way. Well, I think do it do

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Speaker 1: it with a thread along with your findings on big

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Speaker 1: foot people, or maybe I should just say underrated as

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Speaker 1: aliens being real is underrated. Yeah, we coverage over end

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Speaker 1: under in in a short amount of time. That's crazy.

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Speaker 1: Uh Yeah, there's that apocryphal story about how when the

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Speaker 1: conquistadors came ashore, like during the mind civilization, like the

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Speaker 1: minds couldn't see them at first because their brain couldn't

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Speaker 1: like functionally take into account process like the shape of

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Speaker 1: the ships and the And it's definitely like an apocryphal

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Speaker 1: racist thing where it's like the brown people couldn't even

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Speaker 1: conceive aout something there was advanced. But I do think

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Speaker 1: maybe there's a kernel of truth in that that's being

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Speaker 1: proved out by the UFO thing, in the sense that

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Speaker 1: our brain was not designed to comprehend things that are

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Speaker 1: that much bigger than the human species, or that that

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Speaker 1: much bigger than our lives. So we've just chosen to

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Speaker 1: be like, yeah, did you see that story in the

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Speaker 1: New York Times? All right, moving on Donald Trump. Jeremy

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Speaker 1: Renner has a new album out. Uh so yeah, I

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Speaker 1: feel like I feel like all this mystery stuff for

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Speaker 1: me is just a way to say, like, yeah, everything

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Speaker 1: is very difficult on Earth, but maybe there's more. Maybe

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Speaker 1: there's more than than meets the eye. And if there

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Speaker 1: isn't transformers, we can all be nice to everybody and

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Speaker 1: and and and uh and everything. But then maybe someday

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Speaker 1: Fox News will get attacked by aliens, right, Oh, for

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Speaker 1: sure that's happening. And look, and I don't care if

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Speaker 1: that's a true So I don't know if that's underrated

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Speaker 1: or I guess, I guess. I just was like, I

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Speaker 1: was just trying to think of a way to um, yeah, no,

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Speaker 1: I think, yeah, yeah. The first step towards ending your

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Speaker 1: own suffering, right, it's to just sort of think less

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Speaker 1: of yourself as being like the fucking star of this tragedy.

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Speaker 1: I'm not good at that. I'm not good at doing that,

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Speaker 1: but I'm aspiring to do it. What's the difference between

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Speaker 1: us and the ants that you step on unwittingly and

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Speaker 1: that ants? I mean, it's like a short cut to

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Speaker 1: wisdom because they said, like, the more you learn, the

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Speaker 1: more you realize how all you know. And this is

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Speaker 1: by accepting the fact that there's all these huge mysteries

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Speaker 1: out there that we know nothing about. That that's a

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Speaker 1: shortcut to understanding like your place as a spec in Yeah,

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Speaker 1: when the Dali Lama turns out to be a moron.

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Speaker 1: You gotta look to the skies. That's my point. When

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Speaker 1: the doll Llama is canceled, they looked to the skies.

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Speaker 1: Better be a DOLLI mama, I think that Dali Llama.

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Speaker 1: You know I was suspicious of him when he when

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Speaker 1: he was hanging out with Richard Gear years ago. What

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Speaker 1: is a myth? What's something people think it's true? You

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Speaker 1: know to I was gonna say overrated, but I guess

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Speaker 1: I did them both at once, So then I'll do.

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Speaker 1: A myth is that people with cute socks are fun people.

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Speaker 1: I love that myth. I think the biggest sociopaths in

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Speaker 1: the world use cute socks as a way to disguise

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Speaker 1: or to try. You'll meet the biggest Yeah, you'll meet

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Speaker 1: the most sociopathic hedge fun motherfucker. He'll be wearing the

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Speaker 1: cutest socks you ever saw. And I'm just telling you, ladies,

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Speaker 1: I'm wearing white sox right now. Yeah, we're not cute.

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Speaker 1: I will is that that's cb g mL, that's my

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Speaker 1: cold brew. Got me like tube socks. Um so. I

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Speaker 1: I just want to let you know that I am

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Speaker 1: a nice person with nothing. I have no money or

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Speaker 1: anything because I am a nice person and uh, you know,

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Speaker 1: my socks are normal and it's my way of saying

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Speaker 1: I will treat you right. And if you if I

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Speaker 1: was wearing socks that had little typewriters on them or

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Speaker 1: I don't know what people get on their socks, you

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Speaker 1: know you better watch out for me because I'm trying

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Speaker 1: to compensate for some evil ship that I got. Also,

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Speaker 1: sometimes I do wear cute socks and I'm still nice,

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Speaker 1: but it doesn't mean that where's the line, you know,

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Speaker 1: where's the line? You don't know? Draw the line when

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Speaker 1: the guy you're dealing with with the cute socks. And

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Speaker 1: I would say, guy you're with is a creep, that's

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Speaker 1: where you should draw the line. And don't don't let

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Speaker 1: his cute socks factor into well he's creep, but he

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Speaker 1: wears those cutes soss like, don't like cute socks, you know, dilute, dilute.

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Speaker 1: I'm just saying, cute socks have been weaponized by bad people.

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Speaker 1: And you know what, I don't care if that was

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Speaker 1: a percentry that I'm never gonna get out of. That

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Speaker 1: was a real thing, I said, dude, I know that's yeah,

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Speaker 1: you know what I mean though. I mean, look, even

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Speaker 1: if it's like yeah, even if it's super far out

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Speaker 1: and I know it's bullshit, I still like to try

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Speaker 1: and stick with it, just just just try it out,

404
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Speaker 1: just for the fun. Yeah, for sure. Why not? All right,

405
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Speaker 1: we're gonna go to a quick break. We'll be right back,

406
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Speaker 1: and we're back, and guys are flying off the cold

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Speaker 1: Brewed days were passively passing a bottle around that Chris

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Speaker 1: brought in with him of cold brew. Nine balls are

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Speaker 1: cold brew? Oh god, I've lost my tick. One down?

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Speaker 1: You have diarrhea. Bottles of cold brew? How did this

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Speaker 1: become my brand? Uh? Let's talk about the democratic field

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Speaker 1: real quick, guys. Biden was hurt by his performance in

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Speaker 1: the Democratic Debatesmala Harris was helped. But it's interesting Politico

414
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Speaker 1: was writing about this and the fact that Kamala Harris

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Speaker 1: vaulted to second place overall in the in the polls

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Speaker 1: in Iowa. Right, I was specifically or this is I

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Speaker 1: think it was overall. I think this is the national

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Speaker 1: But then they also broke it out by over forty

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Speaker 1: five and under forty five. And it's crazy how it's

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Speaker 1: basically diametric opposites Uh, it goes for people over forty five,

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Speaker 1: it goes Biden at twenty nine, Harris seventeen, Warren thirteen,

422
00:24:07,440 --> 00:24:12,679
Speaker 1: Sanders eight, and uh, for people under forty five, it

423
00:24:12,720 --> 00:24:20,040
Speaker 1: goes Sanders, Harris eighteen, Warren seventeen, and then Biden thirteen.

424
00:24:20,359 --> 00:24:23,800
Speaker 1: So yeah, I I just it makes me wonder how

425
00:24:23,920 --> 00:24:29,480
Speaker 1: much of Biden or people's fear of Bernie is you know,

426
00:24:29,680 --> 00:24:33,320
Speaker 1: pre Cold War conditioning where it's just like socialism bed

427
00:24:33,440 --> 00:24:36,080
Speaker 1: communism bed well. I think also too, there's still that,

428
00:24:36,280 --> 00:24:40,280
Speaker 1: you know, not all Democratic voters aren't super woke too,

429
00:24:40,640 --> 00:24:43,119
Speaker 1: and Biden is still kind of like, oh yes, a

430
00:24:43,359 --> 00:24:47,359
Speaker 1: like older Christian white man is still in charge, and

431
00:24:47,400 --> 00:24:49,959
Speaker 1: they like that version of like what the president is.

432
00:24:50,560 --> 00:24:54,160
Speaker 1: And I think seeing he looks like all the presidents, yeah, exactly.

433
00:24:54,200 --> 00:24:56,000
Speaker 1: And I think just for the same reasons other people

434
00:24:56,119 --> 00:24:58,640
Speaker 1: sort of like I think at a certain age, they

435
00:24:58,680 --> 00:25:01,359
Speaker 1: just aren't will to say things like out loud. I

436
00:25:01,359 --> 00:25:02,920
Speaker 1: think like when you look at even how the support

437
00:25:02,920 --> 00:25:04,560
Speaker 1: goes if you ask those people like well, what about

438
00:25:04,600 --> 00:25:07,240
Speaker 1: Biden's record on these things? That for people of color

439
00:25:07,359 --> 00:25:09,680
Speaker 1: or any people who are just sort of aware of

440
00:25:09,920 --> 00:25:13,560
Speaker 1: some of the problematic policies that Biden supported, They're like

441
00:25:13,800 --> 00:25:16,119
Speaker 1: it doesn't really matter, Like so they're not in touch

442
00:25:16,160 --> 00:25:18,919
Speaker 1: with that as being like a third rail issue, whereas

443
00:25:18,920 --> 00:25:20,480
Speaker 1: other voters are. And I think that just sort of

444
00:25:20,520 --> 00:25:22,640
Speaker 1: shows like they're like, that's like a thing that only

445
00:25:22,720 --> 00:25:26,200
Speaker 1: like people I don't know worry about. I think Biden's

446
00:25:26,200 --> 00:25:29,920
Speaker 1: a safe I mean obviously what they're trying to they're

447
00:25:29,920 --> 00:25:32,720
Speaker 1: trying to make Biden the candidate, but but I mean

448
00:25:32,760 --> 00:25:38,720
Speaker 1: the wealthy, uh DNC people and uh what he what

449
00:25:38,960 --> 00:25:41,600
Speaker 1: is he's doing. He's still the front runner, right, He's

450
00:25:41,600 --> 00:25:44,840
Speaker 1: still in front overall, but he he was in front

451
00:25:44,920 --> 00:25:50,080
Speaker 1: by like huge percentages before the debates, and I took

452
00:25:50,119 --> 00:25:54,880
Speaker 1: a huge, huge hit. It's basically coming down to like

453
00:25:55,240 --> 00:25:57,600
Speaker 1: more neck and neck. Like he's up four percentage points

454
00:25:57,600 --> 00:26:01,119
Speaker 1: as opposed to like fourteen twenty sentence points and polls

455
00:26:01,720 --> 00:26:05,000
Speaker 1: um and after those top four, by the way, I

456
00:26:05,040 --> 00:26:08,440
Speaker 1: was surprised to see the next closest in this poll

457
00:26:08,680 --> 00:26:12,640
Speaker 1: is Mayor Pete with four percent. So he's fallen off.

458
00:26:13,080 --> 00:26:16,119
Speaker 1: It depends like other polls, he's definitely getting a bigger

459
00:26:16,160 --> 00:26:18,600
Speaker 1: share also, so it all it all kind of varies.

460
00:26:18,600 --> 00:26:20,639
Speaker 1: But I think when you look at just sort of

461
00:26:20,800 --> 00:26:24,200
Speaker 1: his performance in the debate and how much Twitter engagement

462
00:26:24,200 --> 00:26:26,360
Speaker 1: there was with him after, and like how much googling

463
00:26:26,480 --> 00:26:30,560
Speaker 1: of him occurred. To people, it sounds like he's Yeah,

464
00:26:30,600 --> 00:26:33,000
Speaker 1: there's starting to percolate a little bit over there on

465
00:26:33,000 --> 00:26:36,120
Speaker 1: that side. Yeah, it's so hard to really get your

466
00:26:36,119 --> 00:26:38,760
Speaker 1: head around that people are going to vote for Donald

467
00:26:38,800 --> 00:26:43,080
Speaker 1: Trump again that I can't. It's like your own Democrats

468
00:26:43,119 --> 00:26:45,400
Speaker 1: into I don't they don't know what to do because

469
00:26:45,720 --> 00:26:48,840
Speaker 1: and I don't blame them. I I am a Democrat.

470
00:26:48,960 --> 00:26:51,919
Speaker 1: I guess if I think the two party system is

471
00:26:52,080 --> 00:26:55,359
Speaker 1: designed to ruin everything really because there's no such thing

472
00:26:55,400 --> 00:26:58,520
Speaker 1: as a Democrat or a Republican. There's just people who

473
00:26:58,560 --> 00:27:01,600
Speaker 1: have usually over happening views in a bunch of areas.

474
00:27:01,600 --> 00:27:06,120
Speaker 1: But that because we're all, you know, controlled by the media,

475
00:27:06,359 --> 00:27:10,439
Speaker 1: thank you, um uh you know that that you know,

476
00:27:10,480 --> 00:27:13,640
Speaker 1: we've been effectively divided in half against you know, because

477
00:27:13,640 --> 00:27:16,120
Speaker 1: we don't know anything better. I mean, we can't get

478
00:27:16,119 --> 00:27:18,520
Speaker 1: out of it anyway. But but as far as uh,

479
00:27:18,640 --> 00:27:22,639
Speaker 1: I don't understand, um, the Democrats are confused because they're like,

480
00:27:22,640 --> 00:27:26,480
Speaker 1: we got this guy, that's that's that's just horrible. And

481
00:27:26,480 --> 00:27:28,920
Speaker 1: and and because the economy is doing well, and because

482
00:27:28,960 --> 00:27:31,639
Speaker 1: people are it's not even doing well. That's the thing

483
00:27:31,680 --> 00:27:33,480
Speaker 1: is it's you know, it's not even it's doing well

484
00:27:33,520 --> 00:27:35,840
Speaker 1: for Wall Street, it's doing well for and even then

485
00:27:35,880 --> 00:27:38,040
Speaker 1: a lot of investment banks are like, uh, there's probably

486
00:27:38,080 --> 00:27:39,800
Speaker 1: good chance of assess is going to hit right at

487
00:27:39,800 --> 00:27:42,639
Speaker 1: some point. So Democrats are just in a bad spot,

488
00:27:42,720 --> 00:27:45,520
Speaker 1: you know, And and I think that uh, the best

489
00:27:45,560 --> 00:27:47,879
Speaker 1: they can hope for is that. I mean, but I

490
00:27:48,080 --> 00:27:50,679
Speaker 1: Biden sucks. I mean, I'm sorry, you know, Biden is

491
00:27:50,720 --> 00:27:52,800
Speaker 1: not the right guy, you know, but but he's better

492
00:27:52,840 --> 00:27:56,000
Speaker 1: than Trump. So it's like, right, that's where we'll see.

493
00:27:56,040 --> 00:27:58,040
Speaker 1: I mean, we'll see what shakes out in the debates.

494
00:27:58,080 --> 00:27:59,840
Speaker 1: And I know a lot of it too, is like

495
00:28:00,040 --> 00:28:03,960
Speaker 1: you for for Trump to really get defeated, they really

496
00:28:04,000 --> 00:28:08,240
Speaker 1: need to energize like that cross section of women, people

497
00:28:08,280 --> 00:28:11,879
Speaker 1: of color, and like very progressive voters. And when you

498
00:28:11,920 --> 00:28:14,119
Speaker 1: can get all of those people together, then you have

499
00:28:14,240 --> 00:28:16,040
Speaker 1: something a little bit better. Like a lot of people

500
00:28:16,040 --> 00:28:18,760
Speaker 1: of color are not energized in the last election or

501
00:28:18,880 --> 00:28:21,680
Speaker 1: motivated to vote. And so that's why it's interesting to

502
00:28:21,680 --> 00:28:24,439
Speaker 1: see some of these candidates, like especially with like the

503
00:28:24,480 --> 00:28:28,320
Speaker 1: support Kamala Harris has from black voters is I think

504
00:28:28,320 --> 00:28:30,600
Speaker 1: she's only second to Biden. Biden still has a good

505
00:28:30,640 --> 00:28:36,520
Speaker 1: chunk of support there, but his lead with black voters

506
00:28:37,400 --> 00:28:39,680
Speaker 1: to four percent. I guess getting the vote out is

507
00:28:39,720 --> 00:28:43,280
Speaker 1: the most important thing. If we could get more progressives

508
00:28:43,440 --> 00:28:45,680
Speaker 1: to the polls, or just young anybody who with a

509
00:28:45,760 --> 00:28:47,640
Speaker 1: brain to vote against the old people who are going

510
00:28:47,680 --> 00:28:50,640
Speaker 1: to vote for Trump because that looks like, as you said,

511
00:28:50,680 --> 00:28:52,760
Speaker 1: looks more to them. They're like, that's what a president

512
00:28:52,800 --> 00:28:55,000
Speaker 1: is supposed to look like, a white guy, And they're

513
00:28:55,040 --> 00:28:57,040
Speaker 1: the old people are the ones that vote, and that's

514
00:28:57,080 --> 00:28:59,440
Speaker 1: why they don't get their benefits fucked with. Like the

515
00:28:59,440 --> 00:29:01,520
Speaker 1: reason why the old people are all stocked up on

516
00:29:01,640 --> 00:29:03,920
Speaker 1: Medicare and everything else is because they know they're the

517
00:29:03,920 --> 00:29:06,280
Speaker 1: ones that go to the damn poles and they'll funk

518
00:29:06,280 --> 00:29:08,360
Speaker 1: with everybody else because they know they don't vote. That

519
00:29:08,600 --> 00:29:12,880
Speaker 1: line Obama says is I wouldn't let my grandparents or

520
00:29:12,920 --> 00:29:15,560
Speaker 1: I guess you wouldn't let your grandparents pick your music,

521
00:29:15,600 --> 00:29:18,480
Speaker 1: so why would you let them pick your president? That's

522
00:29:18,520 --> 00:29:20,600
Speaker 1: perfect that but that's why you also see I mean

523
00:29:20,600 --> 00:29:23,320
Speaker 1: we've talked about before, like how much more gen Z

524
00:29:23,480 --> 00:29:26,360
Speaker 1: voters are actually engaged even more than millennials in terms

525
00:29:26,400 --> 00:29:28,720
Speaker 1: of like they're turned on the mid terms, and so

526
00:29:29,040 --> 00:29:32,000
Speaker 1: you know, younger voters, yeah, hold the phone. Yeah, hold

527
00:29:32,000 --> 00:29:35,120
Speaker 1: the freaking thought I knew I was old. Hold that

528
00:29:35,160 --> 00:29:41,080
Speaker 1: clear telephone you got in the magazine drive. Um. But yeah, like,

529
00:29:41,160 --> 00:29:43,880
Speaker 1: I mean, younger voters are definitely coming out in full

530
00:29:43,880 --> 00:29:46,960
Speaker 1: force and at a bigger you know, they're a bigger

531
00:29:47,040 --> 00:29:50,720
Speaker 1: chunk of the electorate by the time rolls around. So yeah,

532
00:29:50,760 --> 00:29:53,000
Speaker 1: it'll be interesting. So what one other way that people

533
00:29:53,040 --> 00:29:56,320
Speaker 1: are gauging, you know, support for the different Democratic candidates

534
00:29:56,640 --> 00:29:59,520
Speaker 1: is how much money they raised. And you were saying

535
00:29:59,520 --> 00:30:01,920
Speaker 1: that of the kind of big headlines, one of the

536
00:30:02,360 --> 00:30:06,480
Speaker 1: indicators that looks good for the fifth place candidate, mayor

537
00:30:06,600 --> 00:30:09,680
Speaker 1: Pete is how much money he raised last quarter. Twenty

538
00:30:09,680 --> 00:30:13,320
Speaker 1: four million dollars last quarter. That's damn that's pretty big.

539
00:30:13,880 --> 00:30:17,320
Speaker 1: And I think Obama in two thousand eight was something

540
00:30:17,360 --> 00:30:20,760
Speaker 1: around this this mark too when they were like five candidate.

541
00:30:21,440 --> 00:30:24,000
Speaker 1: So um, which is interesting, you know obviously, because like

542
00:30:24,160 --> 00:30:27,360
Speaker 1: he's definitely I mean Bernie Sanders also put out his

543
00:30:27,480 --> 00:30:30,280
Speaker 1: numbers on Tuesday, and he said he also has twenty

544
00:30:30,280 --> 00:30:33,640
Speaker 1: four million, but eighteen million came from small dollar donations,

545
00:30:33,680 --> 00:30:35,800
Speaker 1: and then they were transferring another six million from other

546
00:30:35,800 --> 00:30:38,800
Speaker 1: accounts to like this new twenty four million dollar amount.

547
00:30:39,000 --> 00:30:43,520
Speaker 1: So Mayy Pete is out out raising fundraising Bernie at

548
00:30:43,520 --> 00:30:45,520
Speaker 1: the moment. But you know, I think when you look

549
00:30:45,560 --> 00:30:49,400
Speaker 1: at sort of uh that where his money's coming from. Uh.

550
00:30:49,560 --> 00:30:51,840
Speaker 1: People from the Bernie campaign were saying that the most

551
00:30:51,880 --> 00:30:55,520
Speaker 1: common occupation of contributors were quote, teachers, and the most

552
00:30:55,560 --> 00:30:58,840
Speaker 1: common employer was Walmart, right, so, and I think you

553
00:30:58,880 --> 00:31:00,800
Speaker 1: know that shows because he's had a lot to say

554
00:31:00,840 --> 00:31:02,920
Speaker 1: about that and he's actually connecting with a lot of

555
00:31:02,960 --> 00:31:06,920
Speaker 1: like those more blue collar voters that I think is

556
00:31:06,960 --> 00:31:09,640
Speaker 1: also something Elizabeth Warren is trying to tap into as well.

557
00:31:10,080 --> 00:31:12,960
Speaker 1: But you know, with with Mayor Pete, I think he's

558
00:31:12,960 --> 00:31:15,200
Speaker 1: playing the high dollar circuit. He's like, YO, come one,

559
00:31:15,240 --> 00:31:16,840
Speaker 1: come all, you want to write a fat fucking check,

560
00:31:16,880 --> 00:31:19,240
Speaker 1: I'm here for it. You know, Elizabeth Warren and Bernie

561
00:31:19,280 --> 00:31:20,800
Speaker 1: have a much different model. They don't want to do

562
00:31:20,800 --> 00:31:23,560
Speaker 1: that because they don't want to feel beholden to any donors. Um.

563
00:31:23,600 --> 00:31:26,040
Speaker 1: So you can take from that, which you will, but really,

564
00:31:26,040 --> 00:31:28,520
Speaker 1: I mean, at this point, your money is just gonna

565
00:31:28,800 --> 00:31:31,200
Speaker 1: predict how long you can stay in the race. You know,

566
00:31:31,280 --> 00:31:33,480
Speaker 1: Like I think some people are like, wow, he raised

567
00:31:33,480 --> 00:31:34,959
Speaker 1: all this money. This guy is a shooing. But like

568
00:31:35,120 --> 00:31:36,920
Speaker 1: when you're really when all that money is starting to

569
00:31:36,920 --> 00:31:40,360
Speaker 1: be spent and trying to stay in the campaign, you know,

570
00:31:40,400 --> 00:31:41,960
Speaker 1: it's just with the more money you have to burn,

571
00:31:41,960 --> 00:31:45,920
Speaker 1: the longer you can keep it going. So you know, yeah,

572
00:31:46,240 --> 00:31:50,640
Speaker 1: how is is Bernie doing the or who's doing Is

573
00:31:50,680 --> 00:31:53,520
Speaker 1: he doing individual donations still or is he taking big money? No, no,

574
00:31:53,600 --> 00:31:59,440
Speaker 1: he's doing individuals and yeah, no pac money, nothing like that.

575
00:32:00,160 --> 00:32:03,640
Speaker 1: We just gotta get Trump out of office because it's

576
00:32:03,680 --> 00:32:09,520
Speaker 1: making everybody so fucking miserable. I mean, anybody with a brain, um,

577
00:32:09,760 --> 00:32:11,840
Speaker 1: And and it's so hard to have a narrative to

578
00:32:11,880 --> 00:32:14,080
Speaker 1: even think straight with him in office. I mean, it's

579
00:32:14,120 --> 00:32:17,680
Speaker 1: so upside down when you have people saying that he's

580
00:32:17,680 --> 00:32:22,560
Speaker 1: brought back he's brought so much corruption, so much naked corruption,

581
00:32:23,480 --> 00:32:27,080
Speaker 1: and and people are still um saying that this guy

582
00:32:27,160 --> 00:32:29,360
Speaker 1: is doing the best job of any any president. You know,

583
00:32:29,360 --> 00:32:32,280
Speaker 1: you've got some old white people being like, not even

584
00:32:32,280 --> 00:32:35,160
Speaker 1: just old white people, just misinformed people saying this is

585
00:32:35,200 --> 00:32:37,480
Speaker 1: where where we want to be, and it's like it's

586
00:32:37,520 --> 00:32:40,560
Speaker 1: so disappointing in like confusing that I think it's made

587
00:32:40,560 --> 00:32:43,680
Speaker 1: the whole country disoriented and and I just want him

588
00:32:43,680 --> 00:32:45,680
Speaker 1: out of office so people can at least feel like

589
00:32:45,720 --> 00:32:49,080
Speaker 1: there's a hope for the future, whether it's with even

590
00:32:49,120 --> 00:32:53,200
Speaker 1: with a corporate fool like Biden, you know, anybody besides Trump.

591
00:32:53,240 --> 00:32:55,680
Speaker 1: It's it's just just for the sake of everyone's brain

592
00:32:55,760 --> 00:32:58,840
Speaker 1: to feel like there's a way forward, like a building,

593
00:32:58,880 --> 00:33:01,480
Speaker 1: because it's like having having a guy in office who

594
00:33:01,520 --> 00:33:05,160
Speaker 1: patently is is corrupt and having everyone half the country

595
00:33:05,240 --> 00:33:07,120
Speaker 1: being like he's doing a great job is just making

596
00:33:07,160 --> 00:33:10,280
Speaker 1: everybody feel horrible. Yeah, well, there's no like, you know,

597
00:33:10,360 --> 00:33:12,320
Speaker 1: we don't know what solid ground is. Is there a

598
00:33:12,320 --> 00:33:15,520
Speaker 1: through line? I know the life is a random and everything,

599
00:33:15,560 --> 00:33:18,480
Speaker 1: but still that the having some sort of path to

600
00:33:18,560 --> 00:33:21,239
Speaker 1: the future makes you you gotta feel like you're on

601
00:33:21,360 --> 00:33:23,320
Speaker 1: some kind of I mean, when you're in a spot

602
00:33:23,360 --> 00:33:26,360
Speaker 1: where you've got a guy who's that corrupt and everybody's

603
00:33:27,040 --> 00:33:29,239
Speaker 1: it's a weird situation because we're waking up to the

604
00:33:29,240 --> 00:33:33,760
Speaker 1: fact that the current the system at its heart, like

605
00:33:34,560 --> 00:33:38,080
Speaker 1: in neutral, the normal version of the system is pretty corrupt.

606
00:33:38,120 --> 00:33:42,160
Speaker 1: It does not look out for disadvantaged people, people of color,

607
00:33:42,400 --> 00:33:46,000
Speaker 1: like it just doesn't look out for minorities. And and

608
00:33:46,040 --> 00:33:48,800
Speaker 1: then we're also waking up to that while we have

609
00:33:48,920 --> 00:33:52,880
Speaker 1: somebody who is way more corrupt than the status quo

610
00:33:53,120 --> 00:33:56,320
Speaker 1: of the corrupt system in office. And so it's yeah,

611
00:33:56,840 --> 00:34:00,200
Speaker 1: it is a weird kind of situation to be in

612
00:34:00,360 --> 00:34:03,760
Speaker 1: where you're like, no, no, even the normal status quo

613
00:34:04,040 --> 00:34:06,239
Speaker 1: isn't good enough, where people a lot of people are

614
00:34:06,280 --> 00:34:08,239
Speaker 1: just gonna be like, well, yeah, but it's better than

615
00:34:09,160 --> 00:34:12,480
Speaker 1: And there's still people like getting crushed by capitalism too

616
00:34:12,480 --> 00:34:14,680
Speaker 1: and are still trying to figure it out. And you

617
00:34:14,680 --> 00:34:16,960
Speaker 1: have people like, if you're older and you have a

618
00:34:17,040 --> 00:34:19,719
Speaker 1: nice little retirement egg to sit on, it's easy to

619
00:34:19,760 --> 00:34:22,040
Speaker 1: think that this president is doing great because nothing is

620
00:34:22,080 --> 00:34:25,080
Speaker 1: really affecting you. You're insulated by your wealth. And then

621
00:34:25,120 --> 00:34:27,400
Speaker 1: there are people who might not have that insulation with

622
00:34:27,480 --> 00:34:30,080
Speaker 1: their with with a total lack of wealth, but they've

623
00:34:30,120 --> 00:34:33,399
Speaker 1: bought the hook Line and Sinker Koke Brothers whatever. Far

624
00:34:33,520 --> 00:34:35,759
Speaker 1: right argument of sort of like oh, well, you're not

625
00:34:36,000 --> 00:34:37,920
Speaker 1: this You're not being crushed by the system because of

626
00:34:38,080 --> 00:34:41,160
Speaker 1: rich people. It's because illegal aliens. So that feeds there's

627
00:34:41,200 --> 00:34:44,279
Speaker 1: xenophobia because they can't make sense of like, wait, is

628
00:34:44,320 --> 00:34:46,279
Speaker 1: it the boss of my plant who I should be

629
00:34:46,320 --> 00:34:50,000
Speaker 1: mad at, or some sort of monolithic threat that I'm

630
00:34:50,040 --> 00:34:52,839
Speaker 1: just being told to fear. I just realized, I'll say

631
00:34:52,840 --> 00:34:54,960
Speaker 1: one quick thing, uh, because I'm sure we have to

632
00:34:55,000 --> 00:34:56,759
Speaker 1: move on, But I just wanted to say. I was

633
00:34:56,800 --> 00:34:59,319
Speaker 1: thinking the other day talking to my mother. Actually, I

634
00:34:59,320 --> 00:35:01,640
Speaker 1: was visiting Nashville, and I was talking to my mom

635
00:35:01,680 --> 00:35:06,840
Speaker 1: and she's an old uh woman. Um, and the old

636
00:35:06,440 --> 00:35:13,480
Speaker 1: she's she's a young woman, us a young woman and uh. Anyway,

637
00:35:13,520 --> 00:35:15,400
Speaker 1: I was talking to her about this, and I was

638
00:35:15,440 --> 00:35:18,600
Speaker 1: just saying the reason. Finally I realized, why is everybody

639
00:35:18,640 --> 00:35:22,440
Speaker 1: so mad that that people in you know, in like

640
00:35:22,680 --> 00:35:26,279
Speaker 1: concrete bunker, you know, in dog cages are going to

641
00:35:26,360 --> 00:35:31,040
Speaker 1: get a free toothbrush? And it's because since the late eighties,

642
00:35:31,160 --> 00:35:33,480
Speaker 1: or maybe before that, but certainly since when I was

643
00:35:33,520 --> 00:35:38,000
Speaker 1: a kid in the job market this they took away pensions.

644
00:35:38,080 --> 00:35:41,279
Speaker 1: They they made temp jobs, fifty hour week jobs with

645
00:35:41,360 --> 00:35:44,120
Speaker 1: no benefits. So the reason why it's not that people

646
00:35:44,239 --> 00:35:48,880
Speaker 1: don't want They've managed to make everyone else so poor

647
00:35:49,280 --> 00:35:53,920
Speaker 1: and so without hope that if they see a baby

648
00:35:53,960 --> 00:35:56,759
Speaker 1: getting a free toothbrush. It pisses them off because they're like,

649
00:35:56,800 --> 00:35:59,799
Speaker 1: I have to pay for my toothbroject. But it's not

650
00:36:00,040 --> 00:36:02,680
Speaker 1: that there. If if, if we were able to talk

651
00:36:02,719 --> 00:36:04,520
Speaker 1: about the fact that it's the fact that everyone else

652
00:36:04,560 --> 00:36:07,080
Speaker 1: has been stripped of everything that makes because it used

653
00:36:07,080 --> 00:36:09,319
Speaker 1: to be like, of course poor people get free ship,

654
00:36:09,760 --> 00:36:11,920
Speaker 1: but you weren't mad because everyone else had more ship.

655
00:36:12,280 --> 00:36:14,520
Speaker 1: Now everybody's like, I have nothing. Why do they get

656
00:36:14,520 --> 00:36:19,000
Speaker 1: a free washcloth? Like that's the source of the of

657
00:36:19,040 --> 00:36:21,360
Speaker 1: the disconnect and why people are like, I'm mad at

658
00:36:22,120 --> 00:36:24,239
Speaker 1: at poor people because they get free stuff and they

659
00:36:24,239 --> 00:36:27,120
Speaker 1: get them they're getting miserable ship. But the thing is

660
00:36:27,160 --> 00:36:28,920
Speaker 1: that those you get, they get in the bare minimum.

661
00:36:28,920 --> 00:36:30,560
Speaker 1: And I think that's why. Also it's important to have

662
00:36:30,600 --> 00:36:35,520
Speaker 1: candidates that are connecting people's sort of helplessness and hopelessness

663
00:36:35,800 --> 00:36:37,680
Speaker 1: and tying that to actually what is happening in the

664
00:36:37,680 --> 00:36:40,160
Speaker 1: economy and financially. And Joe Biden isn't the kind of

665
00:36:40,160 --> 00:36:41,920
Speaker 1: candidate who's gonna be like, you know why it's like

666
00:36:41,960 --> 00:36:44,400
Speaker 1: that because the Wall Street is conducting all the business

667
00:36:44,480 --> 00:36:46,680
Speaker 1: that are like a lot of our banking regulations are

668
00:36:46,680 --> 00:36:48,880
Speaker 1: being dictated by people who leave these investment banks and

669
00:36:48,880 --> 00:36:51,239
Speaker 1: now work in the government and things like that. There

670
00:36:51,280 --> 00:36:54,160
Speaker 1: isn't so the candidates that are able to connect those

671
00:36:54,239 --> 00:36:56,880
Speaker 1: ills that we experience, I think are going to do better.

672
00:36:57,280 --> 00:36:59,279
Speaker 1: Just like because even when Trump was running, he was

673
00:36:59,360 --> 00:37:02,440
Speaker 1: kind of running this fake populous ship where he was like, yeah, man,

674
00:37:02,440 --> 00:37:05,440
Speaker 1: it's all fucked up. I'm gonna fix this ship. Actually

675
00:37:05,480 --> 00:37:07,200
Speaker 1: I'm gonna make it worse. But I think when you

676
00:37:07,200 --> 00:37:09,720
Speaker 1: have candidates who are actually able to sort of help

677
00:37:09,760 --> 00:37:13,000
Speaker 1: people connect the dots and to understand what the real

678
00:37:13,560 --> 00:37:15,840
Speaker 1: problems are in this country, what the real threats to

679
00:37:15,920 --> 00:37:18,600
Speaker 1: you are, that's just a little more education than I

680
00:37:18,600 --> 00:37:21,680
Speaker 1: think the general voting population needs to be in touch

681
00:37:21,719 --> 00:37:24,080
Speaker 1: with just for us to have any kind of progress,

682
00:37:24,120 --> 00:37:26,000
Speaker 1: because I don't think it's going to happen just out

683
00:37:26,000 --> 00:37:28,680
Speaker 1: of the blue like that. People have to really understand,

684
00:37:28,760 --> 00:37:31,640
Speaker 1: like what are the forces at work. Yeah, last week

685
00:37:31,680 --> 00:37:33,640
Speaker 1: we were looking at an article that we didn't end

686
00:37:33,719 --> 00:37:35,799
Speaker 1: up getting to on air, but it was a bunch

687
00:37:35,840 --> 00:37:40,320
Speaker 1: of Republicans analyzing like what they think. It's Republican political

688
00:37:40,360 --> 00:37:44,839
Speaker 1: strategists who specifically got the last campaign wrong, and they

689
00:37:44,840 --> 00:37:48,600
Speaker 1: were talking about what they missed about Trump and who

690
00:37:48,680 --> 00:37:52,200
Speaker 1: has the you know, best chance at overcoming that. And

691
00:37:52,239 --> 00:37:57,480
Speaker 1: their takeaway was that it was all personality. Basically, It's

692
00:37:57,560 --> 00:38:00,719
Speaker 1: just like he came off as authentic if you come

693
00:38:00,719 --> 00:38:03,880
Speaker 1: off as authentic in the debates, and it just seemed

694
00:38:03,960 --> 00:38:06,359
Speaker 1: like such bullshit to me. It seemed like it was

695
00:38:06,440 --> 00:38:10,640
Speaker 1: like just giving like not giving people enough credit for

696
00:38:11,040 --> 00:38:13,759
Speaker 1: you know, the thing that people got excited about was

697
00:38:13,920 --> 00:38:19,239
Speaker 1: that he basically promised to do like populist ship and

698
00:38:19,280 --> 00:38:23,520
Speaker 1: then he also you know, appealed to their you know,

699
00:38:23,680 --> 00:38:27,799
Speaker 1: racist side. But it's not like, I don't think it's

700
00:38:27,960 --> 00:38:32,360
Speaker 1: purely a personality thing like people, because he was telling

701
00:38:32,360 --> 00:38:35,120
Speaker 1: people it's like we can do all basically sort of

702
00:38:35,160 --> 00:38:37,200
Speaker 1: saying like we can do the things that the left does,

703
00:38:37,320 --> 00:38:39,600
Speaker 1: but we'll brand it as our own version that will

704
00:38:39,600 --> 00:38:43,040
Speaker 1: still treat you with respect. So it's like Obamacare fuck that,

705
00:38:43,120 --> 00:38:46,080
Speaker 1: we'll do a better version, and they're like great. It's

706
00:38:46,120 --> 00:38:47,600
Speaker 1: like so then it's like, well, it's not really the

707
00:38:47,640 --> 00:38:51,800
Speaker 1: fact that it was this this government subsidized healthcare that

708
00:38:51,840 --> 00:38:53,759
Speaker 1: I didn't like it, said, I don't like where it

709
00:38:53,800 --> 00:38:56,399
Speaker 1: was coming from. So now we can have ownership over

710
00:38:56,400 --> 00:38:59,520
Speaker 1: a program that will help me and I think, Yeah, sure,

711
00:38:59,640 --> 00:39:01,680
Speaker 1: I think it's easy to say it was personality when

712
00:39:01,719 --> 00:39:03,560
Speaker 1: you don't want to give up the ghost that it's like, yeah,

713
00:39:03,560 --> 00:39:05,040
Speaker 1: a lot of people are saying a lot of ship

714
00:39:05,120 --> 00:39:08,160
Speaker 1: has to change very drastically. Yeah. So, I mean we

715
00:39:08,160 --> 00:39:12,960
Speaker 1: were already talking about it. But the border crisis is, uh,

716
00:39:13,040 --> 00:39:15,920
Speaker 1: you know, constantly in the news, constantly in people's minds,

717
00:39:16,120 --> 00:39:20,520
Speaker 1: and a border patrol is specifically you know, getting a

718
00:39:20,560 --> 00:39:24,040
Speaker 1: lot of attention, uh, and not in a very positive

719
00:39:24,080 --> 00:39:26,600
Speaker 1: way because of the way, you know, the conditions that

720
00:39:26,640 --> 00:39:30,839
Speaker 1: people are finding, uh, these children being treated with. I mean,

721
00:39:30,880 --> 00:39:33,520
Speaker 1: there was the situation where there was a light outbreak

722
00:39:33,640 --> 00:39:38,440
Speaker 1: among children at one holding facility and they were like

723
00:39:38,560 --> 00:39:41,240
Speaker 1: quibbling over they got mad at some of the kids

724
00:39:41,280 --> 00:39:43,279
Speaker 1: for losing one of the lice code and they're like,

725
00:39:43,320 --> 00:39:45,040
Speaker 1: now you have to use the same comb. It's like,

726
00:39:45,080 --> 00:39:48,920
Speaker 1: do you know what, do you understand how lice works? Right? Yeah, exactly,

727
00:39:49,080 --> 00:39:52,600
Speaker 1: So he's saying lice comb, it's fucked up. So a

728
00:39:52,640 --> 00:39:56,960
Speaker 1: couple of days ago, pro Public released a investigation into

729
00:39:57,040 --> 00:40:01,000
Speaker 1: this secret Facebook group full of current in former Border

730
00:40:01,040 --> 00:40:07,040
Speaker 1: Patrol agents where they are just vile, fucking racists, just

731
00:40:07,640 --> 00:40:11,920
Speaker 1: joking about the deaths of immigrants, Uh, talking about throwing

732
00:40:11,920 --> 00:40:18,120
Speaker 1: burritos at Alexandria Cassio Cortez, photoshopping AOC to make it

733
00:40:18,160 --> 00:40:22,520
Speaker 1: look like she's having sex with Trump and uh, immigrants

734
00:40:22,840 --> 00:40:26,279
Speaker 1: and just the worst like your worst nightmare of what

735
00:40:26,520 --> 00:40:29,680
Speaker 1: an armed person at a who's dealing with these people,

736
00:40:29,680 --> 00:40:32,279
Speaker 1: who's dealing with these people would be is like just

737
00:40:32,560 --> 00:40:36,160
Speaker 1: all over the place in this Facebook group. Yeah, and

738
00:40:36,200 --> 00:40:40,160
Speaker 1: they have I mean the already people are like, you know,

739
00:40:40,320 --> 00:40:42,560
Speaker 1: I think a lot of these border patrol people, if

740
00:40:42,600 --> 00:40:44,520
Speaker 1: they really have a conscience, you shouldn't go to work,

741
00:40:45,120 --> 00:40:46,360
Speaker 1: you know. And I think when you look at that

742
00:40:46,400 --> 00:40:49,000
Speaker 1: Facebook group, you're like, oh, these people. It seems like

743
00:40:49,040 --> 00:40:51,600
Speaker 1: there's certainly contingent of people who work in border patrol

744
00:40:51,640 --> 00:40:54,200
Speaker 1: who are getting off on seeing this kind of like

745
00:40:54,280 --> 00:40:58,799
Speaker 1: just inhumane treatment of people who are seeking asylum. And yeah,

746
00:40:58,840 --> 00:41:01,719
Speaker 1: like after a few Congress people visited a lot of

747
00:41:02,080 --> 00:41:04,759
Speaker 1: the detention facilities on Monday, you know, we were hearing

748
00:41:04,760 --> 00:41:07,480
Speaker 1: more just sort of stories. Woman said she was being

749
00:41:07,480 --> 00:41:10,160
Speaker 1: told to drink from the toilet. Um. You know, a

750
00:41:10,160 --> 00:41:13,920
Speaker 1: woman told Alexandroocazio Cortez that, you know, it was describing

751
00:41:13,920 --> 00:41:18,200
Speaker 1: the treatment from these officers as psychological warfare, like they

752
00:41:18,200 --> 00:41:20,719
Speaker 1: were just waking them up at odd hours, just just

753
00:41:20,800 --> 00:41:23,839
Speaker 1: saying really fucked up things, saying sexually suggestive things, and

754
00:41:24,200 --> 00:41:27,239
Speaker 1: there was no support for even like children who only

755
00:41:27,280 --> 00:41:30,200
Speaker 1: spoke indigenous languages, like if they didn't speak English or Spanish, like,

756
00:41:30,200 --> 00:41:32,279
Speaker 1: I don't know what to tell you kids, like and

757
00:41:32,960 --> 00:41:36,680
Speaker 1: everything around this is just looking awful and awful and awful,

758
00:41:36,680 --> 00:41:39,439
Speaker 1: And it's funny how like the right sort of they're

759
00:41:39,480 --> 00:41:43,960
Speaker 1: they're done with their concentration camps outrage and they're now

760
00:41:44,080 --> 00:41:46,480
Speaker 1: kind of like now trying to sort of I guess

761
00:41:46,560 --> 00:41:49,439
Speaker 1: re contextualize what's going on. Is like, hey, these guys

762
00:41:49,520 --> 00:41:53,319
Speaker 1: just doing their job. And that was something we heard

763
00:41:53,360 --> 00:41:58,840
Speaker 1: on Fox and Friends where the the great Brian Kilmeade

764
00:41:59,560 --> 00:42:02,880
Speaker 1: was just, I mean, we should think about we should

765
00:42:04,120 --> 00:42:09,680
Speaker 1: we should think for these poor customs and border patrol officers. Okay,

766
00:42:09,719 --> 00:42:13,120
Speaker 1: here's the thing. Picture yourself. You have a house, family

767
00:42:13,120 --> 00:42:15,279
Speaker 1: of five, You have a party, you have thirty people over,

768
00:42:15,360 --> 00:42:16,760
Speaker 1: maybe you have a big party. You have a hundred

769
00:42:16,800 --> 00:42:18,560
Speaker 1: people over, and you have two and a half bats

770
00:42:18,880 --> 00:42:21,120
Speaker 1: in the beginning of be okay with thirty then after

771
00:42:21,160 --> 00:42:22,960
Speaker 1: a hundred people would be a little bit tax. Maybe

772
00:42:22,960 --> 00:42:26,000
Speaker 1: you got to get outdoor facility. Can you picture five thousand.

773
00:42:26,239 --> 00:42:27,960
Speaker 1: You can have the best facilities in the world, but

774
00:42:28,160 --> 00:42:31,160
Speaker 1: they are so overstocked. Six hundred and seventy thousand come

775
00:42:31,239 --> 00:42:34,399
Speaker 1: here illegally already they had eighty nine thousand last month,

776
00:42:34,480 --> 00:42:37,320
Speaker 1: the month before, a hundred and thirty thousand coming illegally.

777
00:42:37,440 --> 00:42:40,880
Speaker 1: They have facilities that hold hundreds, not tens of thousands.

778
00:42:41,160 --> 00:42:43,360
Speaker 1: And now you're gonna walk down there with the facilities

779
00:42:43,440 --> 00:42:45,319
Speaker 1: that they gave that they're not pulling out of their

780
00:42:45,320 --> 00:42:48,400
Speaker 1: pocket their uniforms you gave them and say the facilities

781
00:42:48,440 --> 00:42:53,320
Speaker 1: are not right. Uh okay, So it's a house party

782
00:42:54,000 --> 00:42:57,080
Speaker 1: at these concentration camps. It's just like a house party

783
00:42:57,080 --> 00:42:58,880
Speaker 1: was just like only two bathrooms. You know, we've all

784
00:42:58,880 --> 00:43:01,360
Speaker 1: been to that bar that's got the one bathroom, but

785
00:43:01,400 --> 00:43:03,960
Speaker 1: they left three d people in here. Uh also he

786
00:43:04,000 --> 00:43:12,200
Speaker 1: said overstocked. Yeah, he doesn't even know. He's an idiot.

787
00:43:12,320 --> 00:43:16,000
Speaker 1: And just like this rhetoric they use illegally illegally, these

788
00:43:16,000 --> 00:43:19,680
Speaker 1: people are seeking fucking asylum and they're presenting themselves in

789
00:43:19,719 --> 00:43:21,920
Speaker 1: a way that we're saying, Okay, this is how you

790
00:43:22,000 --> 00:43:26,319
Speaker 1: do it. Here's a problem that's actually happening, that we

791
00:43:26,400 --> 00:43:29,480
Speaker 1: have all these people coming. For whatever reason they're coming,

792
00:43:29,640 --> 00:43:33,160
Speaker 1: they are coming. They are here, they are people. So

793
00:43:33,280 --> 00:43:37,240
Speaker 1: you fucking put all the resources you can to immediately

794
00:43:37,680 --> 00:43:41,000
Speaker 1: trying to put these people in a safe place. I mean,

795
00:43:41,040 --> 00:43:43,720
Speaker 1: that's as simple as that. We have money in this country.

796
00:43:43,760 --> 00:43:48,160
Speaker 1: We spend six hundred and forty billion dollars a year

797
00:43:48,160 --> 00:43:52,680
Speaker 1: on our defense. Like, this is not I don't care

798
00:43:52,719 --> 00:43:55,759
Speaker 1: if the facilities initially are like, oh, you have a

799
00:43:55,760 --> 00:43:58,360
Speaker 1: two and a half better well, yeah, okay, First of all,

800
00:43:59,360 --> 00:44:00,960
Speaker 1: if you have a house with two and a half

801
00:44:01,040 --> 00:44:03,480
Speaker 1: baths set up for the for the for the people

802
00:44:03,520 --> 00:44:07,560
Speaker 1: seeking asylum in America, you fucked up. Brian Kilmead, you

803
00:44:07,719 --> 00:44:10,239
Speaker 1: dumbask I think in general, we just don't need to

804
00:44:10,239 --> 00:44:13,239
Speaker 1: be detaining these people because a lot of the statistics

805
00:44:13,239 --> 00:44:15,879
Speaker 1: show us that people who do seek asylum and have

806
00:44:15,960 --> 00:44:18,680
Speaker 1: to show up for these court hearings do come back.

807
00:44:18,719 --> 00:44:21,920
Speaker 1: They're not like, hey, you cut them loosen. This is

808
00:44:21,960 --> 00:44:24,560
Speaker 1: the thing. It's you, This is reality. Reality is the

809
00:44:25,280 --> 00:44:29,759
Speaker 1: what do they again? With the overstocked imagery? Trump calls

810
00:44:29,760 --> 00:44:33,719
Speaker 1: it catch him release, which is like a phishing term. Disgusting. Um,

811
00:44:34,120 --> 00:44:37,759
Speaker 1: And yeah, I mean it's disgusted. It's important to keep

812
00:44:37,800 --> 00:44:41,399
Speaker 1: in mind like they they don't want to you know. Uh.

813
00:44:41,680 --> 00:44:46,200
Speaker 1: Let the fact in that the Trump administration uh specifically

814
00:44:46,520 --> 00:44:50,640
Speaker 1: has said they are doing this on purpose to dissuade

815
00:44:50,800 --> 00:44:53,880
Speaker 1: more people from coming to the country, Like they're intentionally

816
00:44:53,880 --> 00:44:58,400
Speaker 1: treating these children like shit because they want to stop

817
00:44:58,440 --> 00:45:01,680
Speaker 1: people from coming into the country, and it's not working.

818
00:45:01,719 --> 00:45:03,960
Speaker 1: More and more people are coming, and it's like, oh,

819
00:45:04,000 --> 00:45:06,600
Speaker 1: how come we not rounding up illegal white immigrants in

820
00:45:06,640 --> 00:45:10,720
Speaker 1: this country? Right? Weird because that's also a thing that exists,

821
00:45:10,760 --> 00:45:14,600
Speaker 1: but that's completely left out of their discourse because these

822
00:45:14,600 --> 00:45:17,879
Speaker 1: are cool fucking monsters. It's about the idea that just

823
00:45:17,920 --> 00:45:22,520
Speaker 1: the simple idea that if you're traveling to another country

824
00:45:22,680 --> 00:45:26,359
Speaker 1: on foot or however they're however on foot, you know,

825
00:45:26,640 --> 00:45:29,080
Speaker 1: with like with a baby and and things like that,

826
00:45:29,760 --> 00:45:32,080
Speaker 1: you're not You're already at a point you've made a

827
00:45:32,120 --> 00:45:34,640
Speaker 1: decision that where you're coming from is so bad. This whole,

828
00:45:34,719 --> 00:45:36,880
Speaker 1: the whole idea. The argument should be made by the

829
00:45:36,920 --> 00:45:41,279
Speaker 1: Democrats that there's no dissuading a person who's desperate, there's

830
00:45:41,280 --> 00:45:43,640
Speaker 1: no such that doesn't enter into the fact that doesn't

831
00:45:43,680 --> 00:45:48,680
Speaker 1: factor in. You don't dissuade people from It's like when

832
00:45:48,719 --> 00:45:51,560
Speaker 1: the global warming happens and and people have to move

833
00:45:51,600 --> 00:45:53,920
Speaker 1: out of the desert that that used to be New

834
00:45:54,000 --> 00:45:56,839
Speaker 1: Jersey or whatever, you're not gonnable to dissuade them from

835
00:45:56,840 --> 00:46:02,600
Speaker 1: moving out because you make Maryland suck. Because I don't know,

836
00:46:03,040 --> 00:46:05,279
Speaker 1: but I think doesn't make any step one to being

837
00:46:05,360 --> 00:46:09,080
Speaker 1: a conservative is to ignore the actual foreign policy history

838
00:46:09,120 --> 00:46:11,680
Speaker 1: of this country and then just treat everything like it's

839
00:46:11,680 --> 00:46:14,759
Speaker 1: in a vacuum. Don't don't look by any means of

840
00:46:14,800 --> 00:46:18,080
Speaker 1: how that entire region of the country was completely destabilized

841
00:46:18,120 --> 00:46:21,319
Speaker 1: by the United States and their thirst to keep socialist

842
00:46:21,440 --> 00:46:23,680
Speaker 1: leaders out and things like that, and that was like

843
00:46:23,880 --> 00:46:28,080
Speaker 1: the soft way to spread American uh uh the empire.

844
00:46:28,160 --> 00:46:29,880
Speaker 1: Basically during the Cold War, it's like, well, let's make

845
00:46:29,920 --> 00:46:31,960
Speaker 1: sure all these people are in our pocket too, and

846
00:46:32,000 --> 00:46:34,480
Speaker 1: we don't care what the cost is to the stability

847
00:46:34,520 --> 00:46:36,480
Speaker 1: of those countries or their economies, and things like that

848
00:46:36,520 --> 00:46:39,040
Speaker 1: will have him under art thumb, create situations where now

849
00:46:39,120 --> 00:46:40,520
Speaker 1: people have to flee and then act like, well, I

850
00:46:40,520 --> 00:46:42,680
Speaker 1: don't know why the funk they're coming up here. Yeah,

851
00:46:42,760 --> 00:46:45,040
Speaker 1: there's one post that I have to read from the

852
00:46:45,080 --> 00:46:49,239
Speaker 1: ten fifteen Facebook group where someone posted the picture that

853
00:46:49,320 --> 00:46:51,400
Speaker 1: was on the front page of the New York Times

854
00:46:51,600 --> 00:46:55,680
Speaker 1: of the young father and his you know, two year

855
00:46:55,719 --> 00:46:59,160
Speaker 1: old child floating face down. They just drowned. Uh. And

856
00:46:59,239 --> 00:47:03,080
Speaker 1: this person posted that image and said, Okay, I'm gonna

857
00:47:03,239 --> 00:47:06,920
Speaker 1: go ahead and ask, have y'all ever seen floaters this clean.

858
00:47:07,440 --> 00:47:09,560
Speaker 1: I'm not trying to be an ass, but I have

859
00:47:09,719 --> 00:47:13,800
Speaker 1: never seen floaters like this? Could this be another edited photo?

860
00:47:13,920 --> 00:47:16,480
Speaker 1: We've all seen the Dems and liberal parties do some

861
00:47:16,560 --> 00:47:22,120
Speaker 1: pretty sick things. Um, So just to emphasize they are.

862
00:47:22,640 --> 00:47:25,000
Speaker 1: First of all, he's just not able to or they're

863
00:47:25,040 --> 00:47:28,160
Speaker 1: just not able to let the reality of the situation in.

864
00:47:29,200 --> 00:47:33,880
Speaker 1: But at the same time, he is referring to dead

865
00:47:34,120 --> 00:47:38,640
Speaker 1: children as floaters. So it's a casual enough, it's a

866
00:47:38,640 --> 00:47:43,360
Speaker 1: common enough thing that he's calling them floaters while also

867
00:47:43,800 --> 00:47:48,640
Speaker 1: acting like this picture must be faked because they're too clean. Well,

868
00:47:48,680 --> 00:47:51,800
Speaker 1: that would force them to be a little introspective, wouldn't

869
00:47:51,840 --> 00:47:53,960
Speaker 1: it If you had to sit there and say, oh

870
00:47:54,040 --> 00:47:57,240
Speaker 1: my god, you could like I'm looking at I'm looking

871
00:47:57,239 --> 00:47:59,759
Speaker 1: at a situation where somebody was so desperate to get

872
00:47:59,800 --> 00:48:03,440
Speaker 1: here they they perished in pursuit of trying to have

873
00:48:03,520 --> 00:48:05,960
Speaker 1: a better life. Right, But I'm gonna just go and

874
00:48:06,000 --> 00:48:08,200
Speaker 1: be like, let me just fucking plug my ears and

875
00:48:08,239 --> 00:48:10,440
Speaker 1: be like this probably a photoshop or something, because you know,

876
00:48:10,480 --> 00:48:12,560
Speaker 1: if I had to really think about that, then you know,

877
00:48:14,400 --> 00:48:17,440
Speaker 1: maybe I'm the fucking evil doer. Well. I the only

878
00:48:17,480 --> 00:48:20,040
Speaker 1: thing I don't understand, and I do understand it because

879
00:48:20,680 --> 00:48:27,600
Speaker 1: I mean, apparently the Democrats just recently like petition the

880
00:48:27,600 --> 00:48:31,879
Speaker 1: the Trump administration to loosen the rules on derivatives. Did

881
00:48:31,920 --> 00:48:34,839
Speaker 1: you hear about this? Like like there there was the

882
00:48:34,960 --> 00:48:37,920
Speaker 1: initiatives that they've they've they've been working on lowering property

883
00:48:37,960 --> 00:48:41,719
Speaker 1: taxes for Democrats. I mean, I are not they're not

884
00:48:41,760 --> 00:48:45,040
Speaker 1: focusing this is should be the issue. Should be the issue,

885
00:48:45,080 --> 00:48:47,120
Speaker 1: not because it's a political issue, but if you are

886
00:48:47,120 --> 00:48:51,560
Speaker 1: a humane person, everything should be going towards there because

887
00:48:51,760 --> 00:48:54,279
Speaker 1: years from now, the stories of sexual abuse there to

888
00:48:54,320 --> 00:48:59,000
Speaker 1: come out of those fucking camps. Is you can't put people,

889
00:48:59,280 --> 00:49:03,920
Speaker 1: you know, stand for prison experiment. You put people who

890
00:49:03,960 --> 00:49:07,360
Speaker 1: are like glorified d m V workers in charge of

891
00:49:07,480 --> 00:49:10,600
Speaker 1: children and and and the psychology that happens is they

892
00:49:10,640 --> 00:49:13,800
Speaker 1: start bullying each other into being less and less sensitive,

893
00:49:13,840 --> 00:49:16,400
Speaker 1: so they say floaters, and then someone else, just like

894
00:49:16,440 --> 00:49:18,680
Speaker 1: in high school, like, I'm gonna act less sensitive and

895
00:49:18,719 --> 00:49:20,799
Speaker 1: it's gonna make me even cooler than the person who

896
00:49:20,840 --> 00:49:23,360
Speaker 1: calls them floaters. So I'm gonna call him sacks of

897
00:49:23,400 --> 00:49:26,919
Speaker 1: potatoes or whatever it is. I mean, there's a there's

898
00:49:26,960 --> 00:49:29,960
Speaker 1: a there's the thing where you when you're when when

899
00:49:30,040 --> 00:49:33,120
Speaker 1: when you it's it's setting up a situation where I mean,

900
00:49:33,120 --> 00:49:35,320
Speaker 1: they've already been stories if that's the thing that concerns

901
00:49:35,360 --> 00:49:37,440
Speaker 1: me the most is that they have these unvetted people

902
00:49:37,480 --> 00:49:41,800
Speaker 1: taking care of children, and where it's been proven before

903
00:49:41,920 --> 00:49:46,360
Speaker 1: that the pedophiles move, they don't pedophiles. They don't get

904
00:49:46,400 --> 00:49:49,760
Speaker 1: a chance to. This is something they will gravitate towards.

905
00:49:49,840 --> 00:49:53,960
Speaker 1: They will try to get these jobs. I'm making up.

906
00:49:54,560 --> 00:49:56,880
Speaker 1: This is not this is a real fact. This is

907
00:49:56,960 --> 00:50:01,760
Speaker 1: like an opportunity. Jerry send Suky had been like doing

908
00:50:01,880 --> 00:50:04,680
Speaker 1: a children's charity from like the time he was in

909
00:50:04,680 --> 00:50:07,360
Speaker 1: his thirties, Like he built his whole career and his

910
00:50:07,560 --> 00:50:11,680
Speaker 1: entire reputation to put himself in a position because that's

911
00:50:11,960 --> 00:50:14,960
Speaker 1: what you know, that's what predators do. They're like animal

912
00:50:15,000 --> 00:50:19,439
Speaker 1: predators who have been fully evolved to take advantage of

913
00:50:19,600 --> 00:50:23,800
Speaker 1: any situation that will allow them to you know, pray. Yeah. Yeah,

914
00:50:23,840 --> 00:50:25,799
Speaker 1: So it's it's just it's just that should be the

915
00:50:25,840 --> 00:50:29,040
Speaker 1: focus of everything. And I think that the Progressives could

916
00:50:29,040 --> 00:50:31,759
Speaker 1: win the election just based on we are not monsters.

917
00:50:32,400 --> 00:50:34,080
Speaker 1: Well yeah, And I think this is something we have

918
00:50:34,120 --> 00:50:36,400
Speaker 1: to We're gonna have to wrestle with with our history too,

919
00:50:36,760 --> 00:50:39,160
Speaker 1: when we look back at this and like I mean

920
00:50:39,360 --> 00:50:42,880
Speaker 1: just any pick any photo recently of what these facilities

921
00:50:42,920 --> 00:50:45,120
Speaker 1: look like, and you have to grapple with the fact

922
00:50:45,160 --> 00:50:47,920
Speaker 1: that it's like that's being done on our dime, you know,

923
00:50:48,040 --> 00:50:51,719
Speaker 1: like that's where like we're part of this, and what

924
00:50:51,800 --> 00:50:54,399
Speaker 1: can what what what can we do to stop this?

925
00:50:54,520 --> 00:50:59,320
Speaker 1: Because I know, uh, it's so easy to just get

926
00:50:59,640 --> 00:51:03,279
Speaker 1: very uh just sort of helpless about the whole thing.

927
00:51:03,600 --> 00:51:05,520
Speaker 1: But yeah, like you say, I think we really need

928
00:51:05,600 --> 00:51:09,080
Speaker 1: to confront our neighbors with this idea of like this

929
00:51:09,160 --> 00:51:11,240
Speaker 1: is what is being done in the name of this country,

930
00:51:11,440 --> 00:51:14,719
Speaker 1: like this kind of evil. And I don't know how

931
00:51:14,719 --> 00:51:17,040
Speaker 1: many people can you know, I think a lot of

932
00:51:17,040 --> 00:51:18,680
Speaker 1: people are gonna do the comfortable thing and just try

933
00:51:18,680 --> 00:51:20,120
Speaker 1: and figure out ways to be like, well, you know,

934
00:51:20,120 --> 00:51:22,160
Speaker 1: it's try this one thing and oh god it is bad.

935
00:51:22,440 --> 00:51:24,680
Speaker 1: But like, no, like, we have to fucking really look

936
00:51:24,719 --> 00:51:26,840
Speaker 1: at this and just be like, this is being done

937
00:51:27,280 --> 00:51:30,080
Speaker 1: in the name of this country, like many other terrible

938
00:51:30,080 --> 00:51:32,279
Speaker 1: fucking things, but this thing is on our soil, and

939
00:51:32,320 --> 00:51:33,960
Speaker 1: then how are we going to answer for that? As

940
00:51:33,960 --> 00:51:36,759
Speaker 1: a as a society? We are powerless? I mean, this

941
00:51:36,840 --> 00:51:40,280
Speaker 1: is the thing. And this is why people fucking instead

942
00:51:40,320 --> 00:51:42,360
Speaker 1: because they're like, how am I going to help these children?

943
00:51:42,400 --> 00:51:43,920
Speaker 1: And they can't fucking do it. They're like, maybe we

944
00:51:43,960 --> 00:51:45,719
Speaker 1: should go down there with bolt cutters. Yeah, that's not

945
00:51:45,760 --> 00:51:49,640
Speaker 1: gonna happen. You'll fucking get shot. You cannot. Congress people

946
00:51:49,680 --> 00:51:51,319
Speaker 1: are having a hard time getting into these camps. Well

947
00:51:51,320 --> 00:51:53,120
Speaker 1: they're funding it, you know what I mean, you know

948
00:51:53,200 --> 00:51:56,840
Speaker 1: the only way. Unfortunately, um, and that's why body's like,

949
00:51:56,920 --> 00:51:58,120
Speaker 1: well I want to take care of the kids, but

950
00:51:58,120 --> 00:52:00,400
Speaker 1: instead I'm gonna get mad at Nike or whatever. It's like,

951
00:52:00,480 --> 00:52:03,799
Speaker 1: you know, that's misplaced. I get that the instinct is good, Well,

952
00:52:03,800 --> 00:52:05,719
Speaker 1: if I'm powerless in this area, then I'm gonna be

953
00:52:05,760 --> 00:52:09,400
Speaker 1: powerful in this other area. That's ultimately fucking just compensating

954
00:52:09,440 --> 00:52:11,240
Speaker 1: for the fact that. I know I can't free these kids.

955
00:52:11,560 --> 00:52:13,760
Speaker 1: But the one thing you can do is everyone should

956
00:52:13,800 --> 00:52:17,360
Speaker 1: be calling every single representative of this country non stop

957
00:52:17,800 --> 00:52:21,000
Speaker 1: saying make this stop, make this stop. You will have

958
00:52:21,040 --> 00:52:23,200
Speaker 1: sexual abuse on your hands. You will have Abu Grave

959
00:52:23,320 --> 00:52:27,080
Speaker 1: times a million on this. You know that's the reality.

960
00:52:27,120 --> 00:52:28,319
Speaker 1: And I and you know, I wish there was a

961
00:52:28,320 --> 00:52:29,920
Speaker 1: way to go down there with bolt cutters, you know,

962
00:52:29,960 --> 00:52:33,919
Speaker 1: but there's not. We have been well, you'll get you'll

963
00:52:34,000 --> 00:52:36,439
Speaker 1: end up, and you know you can't do We've set

964
00:52:36,520 --> 00:52:39,239
Speaker 1: up a military industrial police force. You're not gonna get

965
00:52:39,239 --> 00:52:41,920
Speaker 1: anywhere near those camps. But the only way we can

966
00:52:42,280 --> 00:52:44,719
Speaker 1: only people. We can rely on our people like Alexander

967
00:52:45,120 --> 00:52:48,040
Speaker 1: Kazio Cortez and people who are actually making noise about it.

968
00:52:48,080 --> 00:52:51,239
Speaker 1: That's the best thing to do. And the Republicans coming

969
00:52:51,239 --> 00:52:53,520
Speaker 1: back with these lames, they still they sound bad. They

970
00:52:53,520 --> 00:52:56,200
Speaker 1: sound bad. It sounds awful to be like, oh, well,

971
00:52:56,200 --> 00:52:58,520
Speaker 1: it's really just like this, like it's not about the

972
00:52:58,560 --> 00:53:01,040
Speaker 1: people that work there. I'm sorry. What's funny too, because

973
00:53:01,040 --> 00:53:03,480
Speaker 1: even if Brian kill meats a little fucking dumb take

974
00:53:03,560 --> 00:53:05,480
Speaker 1: when he's like oh and then like you want to

975
00:53:05,520 --> 00:53:08,160
Speaker 1: show up when like the facilities are so bad, it's like, okay,

976
00:53:08,160 --> 00:53:10,680
Speaker 1: so then you do acknowledge that the state that these

977
00:53:10,719 --> 00:53:14,799
Speaker 1: facilities are in are actually unacceptable. Right Therefore, then what

978
00:53:15,160 --> 00:53:18,160
Speaker 1: your administration, which you are a part of the Trump

979
00:53:18,200 --> 00:53:22,440
Speaker 1: administration created these conditions, So what what is your point?

980
00:53:22,760 --> 00:53:24,239
Speaker 1: I mean, look, they need and they need to put

981
00:53:24,239 --> 00:53:26,680
Speaker 1: all these customs in border until people like they need

982
00:53:26,680 --> 00:53:28,520
Speaker 1: to also be accountable. I don't care if we're just

983
00:53:28,600 --> 00:53:30,640
Speaker 1: they shouldn't just be going after people at the top, Like,

984
00:53:30,880 --> 00:53:34,120
Speaker 1: if you're participating in this actively, you need to fucking

985
00:53:34,120 --> 00:53:36,920
Speaker 1: also be accountable for this. And then Brian kill me

986
00:53:37,120 --> 00:53:39,960
Speaker 1: fucking after he gets done giving his hot take based

987
00:53:39,960 --> 00:53:42,719
Speaker 1: on nothing, he fucking pulls out his goddamn peanut butter

988
00:53:42,760 --> 00:53:45,200
Speaker 1: and jelly with a crust cut off at his backpack,

989
00:53:45,320 --> 00:53:47,040
Speaker 1: eats it in the corner. And he doesn't have a

990
00:53:47,120 --> 00:53:49,680
Speaker 1: single friend. I can guarantee you that guy doesn't have

991
00:53:49,719 --> 00:53:53,120
Speaker 1: a single friend. Well, not online, we'll go. I'll go

992
00:53:53,160 --> 00:53:56,680
Speaker 1: a lot of people online in real life. I'm that

993
00:53:56,760 --> 00:53:58,719
Speaker 1: guy must have. I'd hate to see his apartment. I

994
00:53:58,719 --> 00:54:00,080
Speaker 1: bet it's got like a I bet he has a

995
00:54:00,160 --> 00:54:03,520
Speaker 1: jukebox with like God smack on it in his house.

996
00:54:03,520 --> 00:54:04,920
Speaker 1: You know what I mean, Like rich people get he's

997
00:54:05,000 --> 00:54:06,760
Speaker 1: rich as ship. So I bet he's got a jukebox.

998
00:54:07,760 --> 00:54:10,919
Speaker 1: It so fucking bad. I bet he's got like save

999
00:54:10,960 --> 00:54:13,719
Speaker 1: a horse, ride a cowboy on his jukebox, and he

1000
00:54:13,760 --> 00:54:16,640
Speaker 1: has parties. Nobody shows up. He eats all the dip

1001
00:54:16,680 --> 00:54:23,200
Speaker 1: by himself. Kill jukebox, the most hopeless cultural artista, kill me.

1002
00:54:23,239 --> 00:54:25,120
Speaker 1: I want there to be a reality show. Brian killed

1003
00:54:25,160 --> 00:54:28,600
Speaker 1: me his apartment. All Right, we're gonna we're gonna take

1004
00:54:28,640 --> 00:54:40,960
Speaker 1: a quick break and we'll be right back, and we're

1005
00:54:41,000 --> 00:54:47,680
Speaker 1: back and booyah. Indeed, uh, we're gonna switch gears. That

1006
00:54:47,800 --> 00:54:51,040
Speaker 1: was a cold brew. Buya to Jeremy renter Um. We

1007
00:54:51,160 --> 00:54:56,920
Speaker 1: talked last week about a clip he teased that had

1008
00:54:56,960 --> 00:55:02,600
Speaker 1: everybody just anticipate and just drenching our bench for his

1009
00:55:02,760 --> 00:55:07,760
Speaker 1: eventual release of his first original song, wrenching our Bench.

1010
00:55:08,000 --> 00:55:14,960
Speaker 1: Ye damne. But let's let's let's hear the let's hear the.

1011
00:55:15,480 --> 00:55:18,239
Speaker 1: I guess it's a teaser trailer for the song. What's

1012
00:55:18,280 --> 00:55:22,240
Speaker 1: the song called again? I think it's called is Unpredictable.

1013
00:55:22,400 --> 00:55:26,879
Speaker 1: I gotta tell you, Heaven don't have at nine? Okay, sure?

1014
00:55:26,920 --> 00:55:29,200
Speaker 1: What is it? A rap song. Well, no, just listen

1015
00:55:29,239 --> 00:55:31,839
Speaker 1: for so Chris, you know your musician you know, and uh,

1016
00:55:32,120 --> 00:55:35,880
Speaker 1: just let's just listen to them this part of the

1017
00:55:35,920 --> 00:55:38,640
Speaker 1: Spider Man soundtrack or something, or the reason for it.

1018
00:55:39,040 --> 00:55:43,799
Speaker 1: This is a rich guy with free time. Huh okayable.

1019
00:55:43,880 --> 00:55:54,360
Speaker 1: I gotta tell you never be the shame. Don't what

1020
00:55:55,640 --> 00:55:58,000
Speaker 1: I got her day? You What was the last thing

1021
00:55:58,040 --> 00:56:00,719
Speaker 1: he said, though, Shannon, don't just have been Heaven don't

1022
00:56:00,760 --> 00:56:10,200
Speaker 1: got a name. It does, Yeah, nailed it, it does too.

1023
00:56:10,400 --> 00:56:12,759
Speaker 1: That man, it's so it's it's so, it's unpredictable. I

1024
00:56:12,800 --> 00:56:15,600
Speaker 1: gotta tell you, wait a minute, I don't understand you.

1025
00:56:15,640 --> 00:56:19,280
Speaker 1: Just play that again one more time. Propredictable. I gotta

1026
00:56:19,400 --> 00:56:28,520
Speaker 1: tell you never be the same. Don't. It's so unpredictable.

1027
00:56:28,560 --> 00:56:30,879
Speaker 1: I gotta tell you it'll never be the same because

1028
00:56:30,920 --> 00:56:32,560
Speaker 1: Heaven don't got anything. First of all, I thought he

1029
00:56:32,560 --> 00:56:37,520
Speaker 1: said gender don't gender. Don't thought it was san But

1030
00:56:37,560 --> 00:56:39,160
Speaker 1: you can't say something that doesn't have a name right

1031
00:56:39,160 --> 00:56:43,000
Speaker 1: after you say the name of it, right like the

1032
00:56:43,200 --> 00:56:46,759
Speaker 1: ceiling of seeing someone fail and you love it that

1033
00:56:46,840 --> 00:56:54,080
Speaker 1: doesn't have a name. So now here's what I think. Now,

1034
00:56:54,160 --> 00:56:56,880
Speaker 1: this is something that somebody else captured of him singing

1035
00:56:56,880 --> 00:56:59,759
Speaker 1: in the shower with a drone with a microphone. Don't

1036
00:56:59,800 --> 00:57:01,840
Speaker 1: so someone took a drone. Here's what I think happened.

1037
00:57:01,880 --> 00:57:04,360
Speaker 1: Someone took a drone and flew outside Jeremy Renners shower

1038
00:57:04,880 --> 00:57:07,279
Speaker 1: with a big microphone on it and caught that little

1039
00:57:07,280 --> 00:57:10,399
Speaker 1: snippet of him soaping himself up. He this is he's

1040
00:57:10,400 --> 00:57:13,719
Speaker 1: in the studio, and I don't care if you if

1041
00:57:13,760 --> 00:57:18,680
Speaker 1: it's true, but based on the video I saw, it

1042
00:57:18,680 --> 00:57:24,360
Speaker 1: looks at least true. The video he approved. And then

1043
00:57:24,400 --> 00:57:29,400
Speaker 1: once it goes into the imagine dragons ship, it starts

1044
00:57:29,400 --> 00:57:32,760
Speaker 1: like showing all these like blinking colors and then it's

1045
00:57:32,800 --> 00:57:35,600
Speaker 1: just like a glamorous shot of him like looking off

1046
00:57:35,640 --> 00:57:38,080
Speaker 1: into the distance and just a cry for help. This

1047
00:57:38,160 --> 00:57:39,800
Speaker 1: is like he's going to be and rehabbened. Like it's

1048
00:57:39,840 --> 00:57:42,880
Speaker 1: like what happens. You're you're rich, and you have a hobby,

1049
00:57:43,360 --> 00:57:45,640
Speaker 1: you and you have free time. You just acted out

1050
00:57:45,720 --> 00:57:48,640
Speaker 1: all the way out and like he's probably, you know,

1051
00:57:48,800 --> 00:57:52,240
Speaker 1: wanted to be a rock stars whole life acting. You know,

1052
00:57:52,600 --> 00:57:54,640
Speaker 1: he's probably the biggest tragedy in his life that his

1053
00:57:54,680 --> 00:57:56,640
Speaker 1: acting career took off rather than him being a musician,

1054
00:57:56,640 --> 00:57:58,040
Speaker 1: and I was like, well, I got all this money

1055
00:57:58,120 --> 00:58:02,919
Speaker 1: to do my well, I got it you Okay, that's

1056
00:58:02,920 --> 00:58:06,320
Speaker 1: shower singing. Okay, well how about this? Why don't it

1057
00:58:06,440 --> 00:58:08,600
Speaker 1: sounds like it was recorded? So by the way, he

1058
00:58:08,640 --> 00:58:12,240
Speaker 1: tweeted that video with the words I think like coming soon. Yeah,

1059
00:58:13,880 --> 00:58:16,360
Speaker 1: I sing that kind of stuff exactly like that in

1060
00:58:16,400 --> 00:58:19,880
Speaker 1: the shower, like that exact thing. Yeah, like oh yeah,

1061
00:58:20,000 --> 00:58:27,400
Speaker 1: you know, like always scrubbing up. I'll be scrubbing up. Yeah,

1062
00:58:27,560 --> 00:58:30,440
Speaker 1: I mean that's like, well, okay, listen, listen to Conditioner.

1063
00:58:31,160 --> 00:58:34,360
Speaker 1: You know Mr condition r coming down the pike, all right,

1064
00:58:35,640 --> 00:58:39,160
Speaker 1: same ship when he's dripping down your back, dripping down

1065
00:58:39,240 --> 00:58:43,440
Speaker 1: my back. Mr Conditioner going down my christ condition Or

1066
00:58:43,520 --> 00:58:48,360
Speaker 1: doesn't have a name. Let's play the original, Let's play

1067
00:58:48,360 --> 00:58:51,800
Speaker 1: the finished product released. We last spoke about this because

1068
00:58:51,920 --> 00:58:53,720
Speaker 1: when we last spoke about it, we had only heard

1069
00:58:53,960 --> 00:58:57,080
Speaker 1: what we just heard, which is the teaser he has released.

1070
00:58:57,360 --> 00:59:00,960
Speaker 1: He has released the song about songs of teasers now

1071
00:59:01,560 --> 00:59:05,840
Speaker 1: Jeremy Renners trailer for the World's Worst Song. Uh, And

1072
00:59:06,160 --> 00:59:09,280
Speaker 1: we now have the his first original song because he

1073
00:59:09,320 --> 00:59:14,360
Speaker 1: had already released a couple of covers that are just unspeakable.

1074
00:59:15,080 --> 00:59:21,520
Speaker 1: House of the Rising song person right and by crash

1075
00:59:21,560 --> 00:59:24,680
Speaker 1: test dummies, Are you kidding me? So he's having a

1076
00:59:24,720 --> 00:59:27,440
Speaker 1: full on breakdown. Why you don't like that song? Well, no,

1077
00:59:27,840 --> 00:59:30,560
Speaker 1: Jeremy Renner's covering that. Yeah. Yeah, he's got some kind

1078
00:59:30,560 --> 00:59:36,200
Speaker 1: of he's he's living in a he lives in a

1079
00:59:36,200 --> 00:59:39,880
Speaker 1: weird space, like he sends Christmas cards out every year,

1080
00:59:39,960 --> 00:59:42,760
Speaker 1: like two members of the Hollywood Form Press, and my

1081
00:59:42,840 --> 00:59:45,600
Speaker 1: mom has one of his, like Christmas cards. It's always

1082
00:59:45,680 --> 00:59:48,280
Speaker 1: him by himself, and yeah, it has nothing to do

1083
00:59:48,320 --> 00:59:50,240
Speaker 1: with Christmas. It just looks like a guy who's like,

1084
00:59:50,920 --> 00:59:54,000
Speaker 1: it's me, It's December. Here's a card. I feel bad

1085
00:59:54,000 --> 00:59:57,280
Speaker 1: for celebrities sometimes. Well, okay, let's let's not judge lives

1086
00:59:57,280 --> 00:59:59,800
Speaker 1: in a volcano. Let's not judge a teaser by its

1087
01:00:00,000 --> 01:00:03,400
Speaker 1: out Let's judge a track by its final mix and master.

1088
01:00:04,800 --> 01:00:07,840
Speaker 1: All I remember is she grew up in Atlanta, but

1089
01:00:08,000 --> 01:00:11,440
Speaker 1: you moved to the Bay and nutdown, beauty. You can

1090
01:00:11,520 --> 01:00:20,040
Speaker 1: never escape. Don't have a name. Let's just keeps it home.

1091
01:00:21,880 --> 01:00:31,640
Speaker 1: Robo got that new I got to the same, Devin.

1092
01:00:31,760 --> 01:00:38,720
Speaker 1: Don't have a name. Name, damn all right, turn it off.

1093
01:00:38,720 --> 01:00:42,760
Speaker 1: I can already see a fucking dodged fucking truck going

1094
01:00:42,800 --> 01:00:46,520
Speaker 1: over a hill of dirt. Um. What The lyrics are

1095
01:00:46,560 --> 01:00:50,160
Speaker 1: so weird, like something from Georgia, but she's from the Bay.

1096
01:00:50,360 --> 01:00:54,320
Speaker 1: And it starts out with him saying, the only thing

1097
01:00:54,360 --> 01:00:56,920
Speaker 1: I remember is she like is from the Bay but

1098
01:00:57,000 --> 01:01:00,720
Speaker 1: grew up in Atlanta. Yeah, that's the only thing you remember.

1099
01:01:00,840 --> 01:01:02,440
Speaker 1: But I didn't realize he was going to hit that

1100
01:01:02,480 --> 01:01:08,680
Speaker 1: falsetto predict I gotta tell you. Yeah. Yeah, he didn't

1101
01:01:08,680 --> 01:01:12,520
Speaker 1: even use the track that made it into the song

1102
01:01:12,800 --> 01:01:15,480
Speaker 1: for the teaser because he knew you were because he's like,

1103
01:01:15,520 --> 01:01:19,040
Speaker 1: that's going to be expecting exactly unless that's part of

1104
01:01:19,080 --> 01:01:21,160
Speaker 1: the pre course, and that's just what we get, like

1105
01:01:21,240 --> 01:01:23,120
Speaker 1: in the second time the course comes around because he's

1106
01:01:23,120 --> 01:01:25,400
Speaker 1: really trying to build for a nice release into the

1107
01:01:25,680 --> 01:01:29,000
Speaker 1: sounds like if I'm producing, you know that song sounds

1108
01:01:29,080 --> 01:01:34,120
Speaker 1: like cocaine, Right, that's cocaine. That's cocaine, all by yourself

1109
01:01:34,200 --> 01:01:37,320
Speaker 1: with some dude that is producing, Like you're hanging out

1110
01:01:37,360 --> 01:01:41,600
Speaker 1: with this dude who Yeah, he met him at the skybars.

1111
01:01:41,680 --> 01:01:43,800
Speaker 1: I don't know what's the current, no, the Mondrean sky

1112
01:01:43,840 --> 01:01:46,080
Speaker 1: but he had some guys. Was like yeah, and he

1113
01:01:46,160 --> 01:01:48,480
Speaker 1: was like yeah. He's like, I can produce your ship.

1114
01:01:48,640 --> 01:01:50,600
Speaker 1: What do you got? Yeah? What do you got? Man? Yeah?

1115
01:01:50,640 --> 01:01:52,960
Speaker 1: And he's like, well, I got this thing. She's uptown

1116
01:01:53,080 --> 01:01:58,920
Speaker 1: from the from the heaven. Don't have it. That's fucking incredible.

1117
01:01:59,080 --> 01:02:00,960
Speaker 1: I can put so many sound effects on that thing

1118
01:02:01,000 --> 01:02:04,960
Speaker 1: with my laptop. I'm gonna come over, hey, man's your

1119
01:02:04,960 --> 01:02:07,480
Speaker 1: car here over there? I don't know, Man, I got

1120
01:02:07,680 --> 01:02:09,200
Speaker 1: I have a hard drive full of sounds I can

1121
01:02:09,240 --> 01:02:13,000
Speaker 1: bring over. Man, that's like fucking fucking you know, people

1122
01:02:13,040 --> 01:02:14,960
Speaker 1: like Jeremy Renner end up living in houses with no

1123
01:02:15,040 --> 01:02:18,080
Speaker 1: furniture and just like cocaine, and that's how what happens

1124
01:02:18,080 --> 01:02:20,720
Speaker 1: to He is a house flipper. As we talked about,

1125
01:02:20,880 --> 01:02:23,400
Speaker 1: he bragged about how he's like one of the America's

1126
01:02:23,440 --> 01:02:25,760
Speaker 1: great house flippers and makes like millions off of it.

1127
01:02:27,640 --> 01:02:32,880
Speaker 1: His this Hollywood Reporter interview is really goes to what

1128
01:02:32,880 --> 01:02:35,479
Speaker 1: what you're kind of speaks to it what you're talking about.

1129
01:02:36,160 --> 01:02:38,560
Speaker 1: He talks about being a pacifist and how he's never

1130
01:02:38,600 --> 01:02:40,680
Speaker 1: been in a fight, and at the beginning of the

1131
01:02:40,720 --> 01:02:44,000
Speaker 1: interview and then by the end he tells this anecdote

1132
01:02:44,080 --> 01:02:46,960
Speaker 1: and I quote, this guy chokes me with the scarf

1133
01:02:47,000 --> 01:02:49,600
Speaker 1: I was wearing. He called me a because I was

1134
01:02:49,640 --> 01:02:52,560
Speaker 1: wearing a scarf. Then he shoved my sister and I

1135
01:02:52,600 --> 01:02:54,800
Speaker 1: got behind him and I choked him out, put him

1136
01:02:54,800 --> 01:03:00,680
Speaker 1: to sleep permanently. What the funk? What them up? Pacifist?

1137
01:03:00,840 --> 01:03:03,640
Speaker 1: Those are better lyrics than the song, Right, he should

1138
01:03:03,640 --> 01:03:07,400
Speaker 1: have said all that in a song. They're probably choked

1139
01:03:07,480 --> 01:03:11,440
Speaker 1: him out permanently. I took a scarf. This man step

1140
01:03:11,480 --> 01:03:15,160
Speaker 1: to me at the Mandrean, I was wearing a scarf. Yeah,

1141
01:03:15,960 --> 01:03:21,640
Speaker 1: so that's ridiculous. Yeah, well, look, Jeremy rerunner man countdown

1142
01:03:21,640 --> 01:03:25,919
Speaker 1: to rehab. For he he strikes me as someone who

1143
01:03:25,960 --> 01:03:30,560
Speaker 1: fucking is just off the realness of his life, just flying.

1144
01:03:30,760 --> 01:03:32,440
Speaker 1: I mean I feel like that too. I don't think

1145
01:03:32,520 --> 01:03:34,160
Speaker 1: he's I don't think this is a drug thing. I

1146
01:03:34,160 --> 01:03:37,640
Speaker 1: think he has always liked his ego. Yeah, that's just

1147
01:03:37,800 --> 01:03:42,840
Speaker 1: he's he's on that scientology ship. But no he's not.

1148
01:03:43,200 --> 01:03:45,000
Speaker 1: He's got that lie like he's tapped into a whole

1149
01:03:45,000 --> 01:03:47,520
Speaker 1: other power source that we need to study. Actually, science

1150
01:03:47,560 --> 01:03:49,080
Speaker 1: needs to figure out what it is. It could just

1151
01:03:49,120 --> 01:03:52,560
Speaker 1: be called the confidence of a white millionaire. But if

1152
01:03:52,600 --> 01:03:59,560
Speaker 1: you could turn that into a pill. Forgot it, you

1153
01:03:59,720 --> 01:04:03,520
Speaker 1: got it, nailed it. That's really weird. It's like he's

1154
01:04:03,520 --> 01:04:05,480
Speaker 1: one of those guys that watched his own movie and

1155
01:04:05,480 --> 01:04:08,360
Speaker 1: like saw like people, look, they think they're the person

1156
01:04:08,400 --> 01:04:10,120
Speaker 1: in the movie. Like he thinks he's the person in

1157
01:04:10,160 --> 01:04:12,840
Speaker 1: the Hawkeye. He's like, look at that movie, I played

1158
01:04:12,840 --> 01:04:16,760
Speaker 1: a genius, so I'm a genius. Like man, He's like, man,

1159
01:04:16,800 --> 01:04:19,120
Speaker 1: you want to see me fucking shoot this fucking arrow,

1160
01:04:19,200 --> 01:04:24,520
Speaker 1: Dude from shoot the whole fucking thing right now, try

1161
01:04:24,560 --> 01:04:26,240
Speaker 1: and choke me with a scarf. Don't you remember when

1162
01:04:26,240 --> 01:04:31,120
Speaker 1: I shot that arrow? You didn't shoot? All right? Never

1163
01:04:31,120 --> 01:04:35,480
Speaker 1: mind Hawkeye. Yeah, actors are so strange because he's so

1164
01:04:36,680 --> 01:04:41,200
Speaker 1: terrifying and like in a completely different way in the town.

1165
01:04:41,520 --> 01:04:43,440
Speaker 1: It's just I don't even know what movies he's been in.

1166
01:04:43,560 --> 01:04:49,400
Speaker 1: Cicario doesn't matter, Yeah, is he solo Cicario? Fucking Game

1167
01:04:49,440 --> 01:04:54,080
Speaker 1: of Thrones? What isn't he in? Man? Come on, he's

1168
01:04:54,120 --> 01:05:01,440
Speaker 1: not a Game of Thrones? Come on, he's Hunger Games. Yeah, fine,

1169
01:05:02,440 --> 01:05:05,560
Speaker 1: it doesn't matter if it's a percent true, right, And

1170
01:05:05,800 --> 01:05:07,360
Speaker 1: I really don't know. I saw him in one movie

1171
01:05:07,360 --> 01:05:10,080
Speaker 1: where that those huge yams came down from outer space

1172
01:05:10,120 --> 01:05:13,760
Speaker 1: and they talked to the squid. Yeah, oh yeah, and

1173
01:05:13,840 --> 01:05:17,880
Speaker 1: he played he played the least convincing scientist. All he

1174
01:05:17,880 --> 01:05:25,160
Speaker 1: said to stare at a fucking squid from Yams. That

1175
01:05:25,200 --> 01:05:29,960
Speaker 1: movie man talking about like seems important at the time,

1176
01:05:30,000 --> 01:05:31,680
Speaker 1: and then you leave and then you're like, never think

1177
01:05:31,680 --> 01:05:33,400
Speaker 1: about it again. I think the coolest thing was just

1178
01:05:33,520 --> 01:05:37,160
Speaker 1: like the real the beginning. But I watch it. I

1179
01:05:37,200 --> 01:05:39,000
Speaker 1: don't even remember it anymore, but I just know that

1180
01:05:39,040 --> 01:05:41,640
Speaker 1: they were like the white people staring at squids for

1181
01:05:41,880 --> 01:05:44,040
Speaker 1: I'll tell you, man, the whole movie is unpredictable. I

1182
01:05:44,040 --> 01:05:49,000
Speaker 1: gotta tell you that's gonna be going on, that has

1183
01:05:49,040 --> 01:05:52,920
Speaker 1: been and will keep going on. In in the offices

1184
01:05:53,240 --> 01:05:56,120
Speaker 1: of the Zeitgeist, uh real quick at Times created a

1185
01:05:56,120 --> 01:06:00,680
Speaker 1: spicy snack power ranking list of prepackaged spicy snack I

1186
01:06:00,680 --> 01:06:02,560
Speaker 1: don't know, man, it's so it's on a it's on

1187
01:06:02,640 --> 01:06:07,400
Speaker 1: a matrix. Uh. So you got your worst flavor to

1188
01:06:07,800 --> 01:06:12,280
Speaker 1: better flavor on one axis X axis, and then the

1189
01:06:12,400 --> 01:06:16,280
Speaker 1: Y axis is more heat to less heat. Flaming hot

1190
01:06:16,360 --> 01:06:21,720
Speaker 1: Cheetos puffs are the best tasting, hottest snack. Yeah, but

1191
01:06:21,960 --> 01:06:25,760
Speaker 1: flaming Hotdritos is the hottest, apparently by a little bit

1192
01:06:26,160 --> 01:06:28,920
Speaker 1: is it? Yeah? Look where it's blotted in terms of

1193
01:06:29,880 --> 01:06:34,400
Speaker 1: our taste. Wait where are you looking? Man? Flame and hotdritos. Oh,

1194
01:06:34,440 --> 01:06:37,720
Speaker 1: that's the best taste taste, but in that more heat

1195
01:06:37,880 --> 01:06:41,200
Speaker 1: and taste area definitely has better flavor. I look, I

1196
01:06:41,240 --> 01:06:45,640
Speaker 1: don't care because it's all about flame hot cheeto. It's

1197
01:06:45,640 --> 01:06:48,680
Speaker 1: it's just weird. I don't want to see. Okay, sorry,

1198
01:06:48,720 --> 01:06:52,240
Speaker 1: oh yo. Shout out to zaps cratats. Have you had those?

1199
01:06:53,720 --> 01:06:57,240
Speaker 1: Fucking I remember the like we had an exchange thing

1200
01:06:57,320 --> 01:06:59,760
Speaker 1: with like kids from Louisiana in my high school and

1201
01:06:59,800 --> 01:07:03,680
Speaker 1: they brought zaps crawtaters and I was fucking hooked the

1202
01:07:03,720 --> 01:07:07,800
Speaker 1: flavor spicy Cajun craw taters, not spicy at all, but

1203
01:07:07,920 --> 01:07:11,320
Speaker 1: the flavor, my lord? So are these Are these like

1204
01:07:11,520 --> 01:07:14,160
Speaker 1: shrimp chips? Now, it's like the flavor of like you know,

1205
01:07:14,320 --> 01:07:18,439
Speaker 1: low country boil basically, but in chip delicious. So that's

1206
01:07:18,480 --> 01:07:22,880
Speaker 1: like crawdaddy potato chips. Yes, got it, m Because I

1207
01:07:22,880 --> 01:07:26,720
Speaker 1: mean that's a thing like seafood flavored crisps some like

1208
01:07:26,800 --> 01:07:30,640
Speaker 1: other like cook or not cookies crackers is a big

1209
01:07:30,680 --> 01:07:33,280
Speaker 1: thing in like Korean you have like shrimp chips and

1210
01:07:33,600 --> 01:07:36,960
Speaker 1: like that delicious. But yeah, like I didn't even know

1211
01:07:36,960 --> 01:07:39,560
Speaker 1: they're flaming hot fritos. M hmm. I don't think those

1212
01:07:39,600 --> 01:07:41,600
Speaker 1: need to be flaming hot. I don't need just chili cheese.

1213
01:07:42,520 --> 01:07:47,320
Speaker 1: Flaming hot fritos is in the worst possible They are

1214
01:07:47,440 --> 01:07:52,240
Speaker 1: low heat and worst flavor. Uh yeah, the absolute worst

1215
01:07:52,240 --> 01:07:55,360
Speaker 1: seems to be Trader Joe's Ghost pepper potato chips. Yeah.

1216
01:07:55,560 --> 01:07:59,720
Speaker 1: Also Andy caps hot fries. Yeah, these are in the

1217
01:07:59,760 --> 01:08:02,680
Speaker 1: worst flavor parts I don't know I like and those

1218
01:08:02,720 --> 01:08:05,520
Speaker 1: are addictive in a way that I can tell that

1219
01:08:05,600 --> 01:08:08,360
Speaker 1: they have figured something out because I don't like actively

1220
01:08:08,400 --> 01:08:12,120
Speaker 1: consciously like the taste, but I can't stop eating them. Right.

1221
01:08:12,200 --> 01:08:16,320
Speaker 1: It's like food scientists have just like you know, directly

1222
01:08:16,360 --> 01:08:20,519
Speaker 1: wired into some part of my brain that you know,

1223
01:08:20,560 --> 01:08:26,240
Speaker 1: food scientists. That's where instead of you know, curing our diseases,

1224
01:08:26,280 --> 01:08:28,519
Speaker 1: that's where our best scientists are working right now. I

1225
01:08:28,520 --> 01:08:35,639
Speaker 1: eat kettle corn. There you go, kettle corn, seafood flavored flavor.

1226
01:08:36,600 --> 01:08:40,679
Speaker 1: Eat the low Country boil kettle corn. Yeah, low country

1227
01:08:40,680 --> 01:08:42,760
Speaker 1: boil in that pot, and then in that pot you

1228
01:08:42,800 --> 01:08:46,799
Speaker 1: make your kettle corn. Get all the residual kettle corn.

1229
01:08:47,200 --> 01:08:50,160
Speaker 1: Chris has been a pleasure. It's been so much fun

1230
01:08:50,200 --> 01:08:52,439
Speaker 1: to be back on. Where can people find you? You

1231
01:08:52,520 --> 01:08:55,439
Speaker 1: can find me at The Crofton Show on Twitter, and

1232
01:08:55,520 --> 01:08:58,760
Speaker 1: you can find me at Instagram at Instagram. You can

1233
01:08:58,760 --> 01:09:04,920
Speaker 1: find me on Instagram Chris Underscore Crofton underscores that something

1234
01:09:04,960 --> 01:09:08,400
Speaker 1: I came up with and uh and that's about it.

1235
01:09:08,520 --> 01:09:10,000
Speaker 1: You can find me on uh oh, and you can

1236
01:09:10,120 --> 01:09:13,439
Speaker 1: read my advice column, The Advice King, which I've there's

1237
01:09:13,479 --> 01:09:15,120
Speaker 1: like two hundred of them. If you want to laugh

1238
01:09:15,160 --> 01:09:18,040
Speaker 1: all day long, you go read those. Yeah, those are great.

1239
01:09:18,520 --> 01:09:20,960
Speaker 1: Is there a tweet you've been enjoying? Oh? I forgot

1240
01:09:20,960 --> 01:09:24,720
Speaker 1: about that? So uh no, No, I bet I know.

1241
01:09:24,760 --> 01:09:26,200
Speaker 1: I bet I got one. I bet I got one

1242
01:09:26,400 --> 01:09:29,920
Speaker 1: because I retweeted, Uh you guys have her on the

1243
01:09:29,960 --> 01:09:34,040
Speaker 1: show Blair Saki. Yeah. Yeah. The last thing I retweeted

1244
01:09:34,200 --> 01:09:38,280
Speaker 1: was when someone punctuates their texts with periods. It's like,

1245
01:09:38,560 --> 01:09:45,519
Speaker 1: why are you enraged? Miles? Where can people find you?

1246
01:09:45,560 --> 01:09:49,080
Speaker 1: Follow me? Find me Twitter, Instagram at Miles of gray.

1247
01:09:49,240 --> 01:09:52,519
Speaker 1: Um also shout out to the women's national team, who

1248
01:09:52,960 --> 01:09:55,200
Speaker 1: is on their way possibly to go into the final.

1249
01:09:55,400 --> 01:09:57,719
Speaker 1: I don't know right now, is to one to find

1250
01:09:57,760 --> 01:10:00,759
Speaker 1: it closely you know, but there are some Arsenal ladies

1251
01:10:00,760 --> 01:10:03,160
Speaker 1: playing on the England Time England side, so I'm also

1252
01:10:03,280 --> 01:10:06,400
Speaker 1: rooting for them. But you know, America first, there's ladies Arsenal.

1253
01:10:06,600 --> 01:10:09,040
Speaker 1: Oh yeah, we're the best. We're the best in Europe,

1254
01:10:09,520 --> 01:10:12,600
Speaker 1: unlike the men's teams. Uh you find me followed that

1255
01:10:12,600 --> 01:10:14,760
Speaker 1: I said that, Okay. Some tweets are like, there's just

1256
01:10:14,840 --> 01:10:18,479
Speaker 1: some Reductress ones that I'm loving all over again. Uh.

1257
01:10:18,520 --> 01:10:21,040
Speaker 1: This one is just it's so stupid. But Chris, you

1258
01:10:21,120 --> 01:10:24,040
Speaker 1: might appreciate this one. It just says, is he falling

1259
01:10:24,040 --> 01:10:25,880
Speaker 1: in love with you? Or do you just own a

1260
01:10:25,960 --> 01:10:32,920
Speaker 1: rare synthesizer. All my gear heads are like, well, yeah,

1261
01:10:33,080 --> 01:10:35,559
Speaker 1: she's got that cork. Oh here's one other one I liked.

1262
01:10:35,600 --> 01:10:38,160
Speaker 1: I know this sounds like BS A B S statistic,

1263
01:10:38,200 --> 01:10:40,200
Speaker 1: but apparently in the U. S Alone, there are enough

1264
01:10:40,200 --> 01:10:42,840
Speaker 1: comedians for every single citizen of the US to have

1265
01:10:42,880 --> 01:10:47,760
Speaker 1: their own private comedian. That's Henry Henry Henry Phillips. That's

1266
01:10:47,760 --> 01:10:50,720
Speaker 1: really funny. It's funny because us. True. The other one

1267
01:10:50,760 --> 01:10:52,840
Speaker 1: is just so stupid because it's just it's just this

1268
01:10:52,960 --> 01:10:55,160
Speaker 1: woman sort of smirking at the camera and the headline

1269
01:10:55,160 --> 01:10:59,439
Speaker 1: is just allow me to set you up with some guy.

1270
01:10:59,479 --> 01:11:04,000
Speaker 1: It's like the guy. Uh. Some tweets I enjoyed. Ben

1271
01:11:04,080 --> 01:11:07,320
Speaker 1: Schwartz a rejected jokes, tweeted, huge day for people who

1272
01:11:07,400 --> 01:11:11,200
Speaker 1: photoshop different teams jerseys on players back on the first

1273
01:11:11,280 --> 01:11:15,160
Speaker 1: day free agency, because that was all that was being posted.

1274
01:11:15,560 --> 01:11:19,360
Speaker 1: Kellen at Captain Calvis tweeted, I just took a DNA test.

1275
01:11:19,439 --> 01:11:23,479
Speaker 1: Turns out I'm one hundred percent sure the CIA killed

1276
01:11:23,560 --> 01:11:28,559
Speaker 1: JFK and Megan amarand tweeted whoever denied it supplied it

1277
01:11:28,600 --> 01:11:34,439
Speaker 1: also works with climate change. Yeah. Mike Leffingwell tweeted, my

1278
01:11:34,479 --> 01:11:37,040
Speaker 1: favorite part of the Rock is when Ed Harris visits

1279
01:11:37,080 --> 01:11:41,719
Speaker 1: his wife's grave and her headstone says his wife, which

1280
01:11:41,840 --> 01:11:44,519
Speaker 1: is real. That's just beckdel cast lore. Though if you

1281
01:11:44,560 --> 01:11:46,840
Speaker 1: listen to my episode on The Rock on becktel cast

1282
01:11:47,560 --> 01:11:49,960
Speaker 1: we go off on that part. Oh for real, so

1283
01:11:50,000 --> 01:11:52,240
Speaker 1: you know, shout out to my old improp teacher, but

1284
01:11:52,280 --> 01:11:57,519
Speaker 1: he's late. That's how women defined themselves. His wife and

1285
01:11:57,560 --> 01:12:02,599
Speaker 1: then finally another Kelly and Captain Kelvis tweet I like

1286
01:12:02,680 --> 01:12:05,240
Speaker 1: Toy Story four, but thought the scene where Woody bends

1287
01:12:05,280 --> 01:12:07,200
Speaker 1: over and slaps his bare ass and says I'm a

1288
01:12:07,200 --> 01:12:10,519
Speaker 1: shitty little big boy was a little much, which I

1289
01:12:10,560 --> 01:12:12,880
Speaker 1: agree that was the only part that I didn't left.

1290
01:12:13,280 --> 01:12:15,439
Speaker 1: You can find me on Twitter at Jack underscorel Brian.

1291
01:12:15,520 --> 01:12:17,519
Speaker 1: You can find us on Twitter at Daily z Eye. Guys.

1292
01:12:17,520 --> 01:12:19,479
Speaker 1: Were at the Daily z Eyegeist on Instagram. We have

1293
01:12:19,560 --> 01:12:22,880
Speaker 1: Facebook fan page on the website Daily zey Geys dot com.

1294
01:12:22,880 --> 01:12:26,000
Speaker 1: Were post our episodes and our foot nose where we

1295
01:12:26,040 --> 01:12:27,720
Speaker 1: link off to the information that we talked about in

1296
01:12:27,760 --> 01:12:30,439
Speaker 1: today's episode, as well as the song wet right out

1297
01:12:30,479 --> 01:12:33,639
Speaker 1: on miles. What is that don't beat today? It's called

1298
01:12:33,720 --> 01:12:38,400
Speaker 1: before by Bibio. Okay, so put this in your pipe

1299
01:12:38,720 --> 01:12:41,200
Speaker 1: and go outside and enjoy the weather wherever you are

1300
01:12:41,240 --> 01:12:44,439
Speaker 1: and just you know, listen to the relaxing counts. Thank

1301
01:12:44,520 --> 01:12:46,960
Speaker 1: you guys so much for having me again. Thanks for

1302
01:12:47,160 --> 01:12:49,479
Speaker 1: thanks for being here. So fun. Yeah, go go listen

1303
01:12:49,520 --> 01:12:53,760
Speaker 1: to Chris Crawton's album. The Daily Ze Guys is a

1304
01:12:53,840 --> 01:12:56,080
Speaker 1: production of My Heart Radio for more podcast from my

1305
01:12:56,120 --> 01:12:59,160
Speaker 1: Heart Radio is it the I Heart Radio app? Apple

1306
01:12:59,240 --> 01:13:01,880
Speaker 1: podcast or where be letting your favorite shows. That's going

1307
01:13:01,960 --> 01:13:04,519
Speaker 1: to do it for today and we won't be back

1308
01:13:04,560 --> 01:13:07,519
Speaker 1: tomorrow because even though it is a daily podcast Tomorrow

1309
01:13:07,840 --> 01:13:12,240
Speaker 1: is the fourth of July, so we are going to

1310
01:13:12,360 --> 01:13:16,760
Speaker 1: be back on Friday with a little bonus treat for

1311
01:13:16,920 --> 01:13:20,760
Speaker 1: you guys, and then we'll be back on Monday, a

1312
01:13:20,960 --> 01:13:26,559
Speaker 1: great holiday weekend. We're just long daily Zeitgeist weekend for

1313
01:13:26,760 --> 01:13:30,200
Speaker 1: listeners in other countries. Uh, and we'll be back at

1314
01:13:30,240 --> 01:14:05,560
Speaker 1: you next weekend. Ye I believe said it on and

1315
01:14:05,800 --> 01:14:06,840
Speaker 1: it's been fu