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Speaker 1: Hello the Internet and welcome two Season fifty one, episode

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Speaker 1: four Up Leiz guys or Thursday October four, two thousand eight. Team,

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Speaker 1: My name is Jack O'Brien. A ka go go tay

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Speaker 1: Lee Zite krist To go tay Lee Zite, krist go

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Speaker 1: go dayle zeit Geist mighty morphine Jack O'Brien And yeah,

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Speaker 1: that's courtesy if can, and I'm sure to be joined

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Speaker 1: as always buy my co host, Mr Miles. Greg. You're

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Speaker 1: on a bus. Greg, You're on the call Gray to

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Speaker 1: make you a superstar, Gray to win and great to lose.

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Speaker 1: But this mouse Gray will rock your shoes, cust These

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Speaker 1: are the Grays alright. The breaks by Curtis Well anyway,

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Speaker 1: shout out to uh At Claire has Mitten's claw Raw.

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Speaker 1: I guess that's your Halloween inspired handle name or whatever

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Speaker 1: who was like you might not get this because it's

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Speaker 1: Ecca old kiss it. I'm hello, so of course I

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Speaker 1: know the breaks final work with you back in trial. Yes, yes,

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Speaker 1: we met the bodies exhibit in the eighties. This joke

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Speaker 1: is literally for only the only in this room. Wow,

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Speaker 1: Well we are thrilled if you go in there in

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Speaker 1: our third seat by Wilmer herself, Jamie, alert, you've been hacked, justus,

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Speaker 1: just for me. The sun guys is honestly hurt my face.

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Speaker 1: They're too small. What do you mean, like they're so cool,

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Speaker 1: they're they're too narrow for your wife. Hurt your eyes

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Speaker 1: because you get I got these huge eyes and I

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Speaker 1: can see on either side of the tiny It's a

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Speaker 1: whole thing. Yeah, yeah, yeah. Did you get the alert

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Speaker 1: from the president today? You were hacked? No, and I

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Speaker 1: were the only people I think who didn't get it

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Speaker 1: on yours because we were like everyone else like, oh

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Speaker 1: I got it. Yeah. I'm like, are we on a

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Speaker 1: list of minorities? Mindless? Presidential alert? Is Boyfriend's Day? Your boyfriend?

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Speaker 1: You cared to the calendar of that? Youd um. Yeah,

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Speaker 1: we are recording this on international Boyfriend's Day. Happy belated

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Speaker 1: boyfriend's Day everyone, But we were just talking some boyfriend's

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Speaker 1: day stats. Uh, And yes, all the whites in the

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Speaker 1: office got the presidential alert, So I don't know. That's

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Speaker 1: how I confirmed before I I even took a DNA test.

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Speaker 1: This is how I knew I should make up, build

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Speaker 1: up or whatever you call this is Jamie. We're gonna

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

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Speaker 1: But first we're gonna tell our listeners what we're talking about.

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Speaker 1: We'll continue talking about the presidential alert all day. The

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Speaker 1: whole episode is about that. Now we're going to talk

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Speaker 1: about the new Dick Cheney movie. Trump's businesses are actually

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Speaker 1: doing worse since you became president. We're gonna talk about that.

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Speaker 1: We're gonna talk about how the GOP is, you know,

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Speaker 1: just getting the word out there that they're here for women.

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Speaker 1: They're here for the women of America. Except the opposite

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Speaker 1: of that. Uh, We're going to talk about how Trump

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Speaker 1: got rich, the truth about that, and we're gonna talk

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Speaker 1: the hater app showing most hated foods by state, all

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Speaker 1: of that and more. But first, Jamie, what is something

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

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Speaker 1: This is a tough one, okay. Here, This one is

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Speaker 1: a sentence search. Is a Titanic exhibit in Las Vegas,

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Speaker 1: same as the one in Orlando, Florida. Is something I

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Speaker 1: searched over the weekend. It was an emergency, right, and

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Speaker 1: yeah it is. I was bummed. I was so ready

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Speaker 1: to drop forty bucks to look at a bunch of

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Speaker 1: old deck chairs and touch ice, because that's honest. The

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Speaker 1: Titanic Exhibit, it's like it's permanent in some areas, but

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Speaker 1: it travels across the country too, and it's a bunch

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Speaker 1: of like Titanic stuff that was pulled from the wreckage.

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Speaker 1: And you're given a ticket at the beginning and it

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Speaker 1: says the name of a passenger, and it's very fucked

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Speaker 1: up because at the end you find out whether you

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Speaker 1: lived or died, and it becomes like a fun family activity,

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Speaker 1: like when you're me and my dad went and he

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Speaker 1: was like, I'm the captain, I'm dead, and I was like, hey,

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Speaker 1: I'm a first class guy, I'm probably fine, and we

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Speaker 1: high five. I'm Jack Dawson. Yeah, wait, they really have

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Speaker 1: you touch ice as if you don't know what ices.

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Speaker 1: It's very okay. First of all, isis second that's how good.

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Speaker 1: That's how good your next stuff he has that he's

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Speaker 1: just had his finger hovering over that for the past

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Speaker 1: nine months. But there's yeah, they have like when you're

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Speaker 1: getting towards the end, because it's supposed to be like

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Speaker 1: t Taic was cool and it was great, and then

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Speaker 1: towards the end they're like, oh, you know, so we

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Speaker 1: all know what happened. And they make you hold your

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Speaker 1: hands on a gigantic block of ice for twenty seconds,

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Speaker 1: and then the guy who's giving you the tour is like, yeah,

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Speaker 1: pretty cold hot anyway, you've just been Titanic. Anyways, they

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Speaker 1: all die. I imagine that all over your naked fucking body.

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Speaker 1: You did that for like the Triangle Factory fire, Like

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Speaker 1: we're just gonna let you a fire for twenty seconds. Anyways,

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Speaker 1: they died. Wasn't that like the beginning of the progressive

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Speaker 1: movement in the United States? Labor but like, but it

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Speaker 1: began that push whatever. Yes, us history whoa, whoa, whoa.

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Speaker 1: So you tour with the Titanic exhibit like uh like

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Speaker 1: deadhead or something. Yeah, I've been going, honestly, I have

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Speaker 1: been because we would go to Orland. We have the

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Speaker 1: worst time shore ever in Orlando. You pay two dollars

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Speaker 1: a month and you go to Orlando once every three

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Speaker 1: years in the middle of the winter. And we couldn't

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Speaker 1: afford to go to Disney World. So we go to

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Speaker 1: the Titanic exhibit. Nice, but at least you win on

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Speaker 1: that one. I went. I went a lot. Have you

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Speaker 1: ever been to the Christian theme park where you get

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Speaker 1: to see Jesus. I want to go set. My mom

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Speaker 1: and I are going for Thanksgiving. I think we're gonna go,

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Speaker 1: you know, kiss the ring. Did Jesus wear rings? Like

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Speaker 1: four finger rings? I think naval peers? Right, it's a

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Speaker 1: cool guy. It was super cool. What is something you

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Speaker 1: think is overrated? Something overrated? Okay, So I am back

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Speaker 1: on my my Mensa ship. Uh, Mensa, it got really

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Speaker 1: bad this week where you're in Mensa for people who

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Speaker 1: don't fucking know. Jamie got into Mensa as a bit

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Speaker 1: and because she's super smart, thank you. But I did.

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Speaker 1: I did. I did it for a job, didn't expect

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Speaker 1: to get in, got in. And so you it's interesting

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Speaker 1: because you get put in all these funked up Facebook groups,

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Speaker 1: and there was one I was warned about in particular

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Speaker 1: where I was tagged. People were posting the pieces I

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Speaker 1: had written because they just found them and they're posting

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Speaker 1: about it in the group. And there was some like

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Speaker 1: huge like I I like woke up to like nine

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Speaker 1: d Facebook notifications. Uh, And there were some people saying like, Mensa,

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Speaker 1: kick this woman out. She's a you know, like some

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Speaker 1: pretty cute a lot of people would say they didn't

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Speaker 1: like my eyebrows, and then what they call you free

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Speaker 1: to call They were like, free to CALLO over here

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Speaker 1: because she got into MENSA. They also, you're not gonna

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Speaker 1: be shocked to here. The MENSA split is uh, seventy

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Speaker 1: thirty men women. But that's not to say that, but

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Speaker 1: it's just because you know it's a group of psychotic

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Speaker 1: and also got some off the chart responses to did

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Speaker 1: you not can I read as a lady with a mouth.

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Speaker 1: I've received death threats before, but this one from a

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Speaker 1: man named Gina Polka Mouse is my favorite. I'd like

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Speaker 1: to read it not No. I checked the wretch. Gino

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Speaker 1: Polka Mouse four hundred years old. Gino polkem Out said, Hello,

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Speaker 1: Jamie Loftus, you've met the mild manard organ repairment of MENSA.

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Speaker 1: Now you have met our criminal element. What does that?

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Speaker 1: I don't know very specific. There are people here who

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Speaker 1: can really hurt you. In your world, that means posting

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Speaker 1: Twitter rants where you're a racist, or fake reviews. It

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Speaker 1: means something different here. This is serious. We have men

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Speaker 1: here who have killed, we have those who have served time,

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Speaker 1: one who did the unmentionable and fugitive felons. I'd love

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Speaker 1: to know what he says. There was a woman here

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Speaker 1: who pissed a lot of us off a few years ago,

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Speaker 1: and now she's dead, which could be old age. She

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Speaker 1: was seven and we got in to fight several years later. Yeah,

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Speaker 1: you're welcome here, all dudes, paid members are, but that's all.

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Speaker 1: Nobody is looking out for your safety, Jamie, I don't understand,

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Speaker 1: like it's a warning but a threat, but also like

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Speaker 1: like he's looking out for He's almost like, yeah, I

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Speaker 1: watch out, there are some really mean people here, but

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Speaker 1: also I'm going a threat in your life. Also like Gino,

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Speaker 1: I don't know. His profile picture is of like an

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Speaker 1: old ass statue. I'm like, this guy could be anyone, Gino.

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Speaker 1: I don't know personally. You know, I heard that Gino

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Speaker 1: knew a woman once who we disagreed with and she

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Speaker 1: later passed away. His mom. You should be like, well,

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Speaker 1: if you're so smart, menta, how did you not know

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Speaker 1: that I was going undercover to join your group? Like

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Speaker 1: implying that they're all psychic? So yeah, the the culture

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Speaker 1: of mensa very overrated. Okay, what is something you think

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Speaker 1: is under it? Okay? Follow up to the overrated in

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Speaker 1: the list of threats. I was referred several times to, Hey,

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Speaker 1: she sucks. I bet you wouldn't even participate in our

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Speaker 1: boob thread. And I was like, there's a Mensa boob thread.

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Speaker 1: I gotta get the link, and I was I thought

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Speaker 1: it was going to be, you know, a bunch of

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Speaker 1: guys posting boobs they had found for the benefit of

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Speaker 1: other guys. However, I did get the link to the

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Speaker 1: Mensa booth thread, and I would say it's underrated because

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Speaker 1: it's voluntarily submitted the boobs of women from Mensa. Yeah,

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Speaker 1: it's like Cleveland shots of women in the MENSA group

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Speaker 1: being like good morning, and it's Mensa boobs, fucking Mensa

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Speaker 1: gros fucking weird. It's very bizarre, but it was they

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Speaker 1: subverted my expectations. Yeah, when I read that, I was like,

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Speaker 1: I wonder what the funk that is? Yeah, women are

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Speaker 1: like women holding paper like to be like, I'm actually

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Speaker 1: a MENSA member. These aren't just random boob picks. You

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Speaker 1: have to submit your your your membership numbers to even

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Speaker 1: get in these funked up groups, and mindful it's it's

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Speaker 1: one of the I've got to write about it. At

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Speaker 1: some point. But I'm just like, they're going to kill

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Speaker 1: me before I can. I don't know, but the men

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Speaker 1: will not let die of vain mensa clear, just like,

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Speaker 1: don't prevent me from being killed, but do avenge me.

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Speaker 1: So the underrated The Mensa booth thread. Also uh an

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Speaker 1: audio book I just finished this morning, The Indignities of

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Speaker 1: Being a Woman by Megan Keist and Merril Marco. Really

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Speaker 1: good book for this moment, especially, just breaks down how

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Speaker 1: women have been oppressed through history, but in a really

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Speaker 1: funny way. It's bizarre that it's so funny, but it's great. Okay,

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Speaker 1: we'll put that in the footnote so you can peep it.

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Speaker 1: Now cut all that out, just use the boom one

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Speaker 1: please link. And finally, what is a myth? What something

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Speaker 1: people think it's true that you know to be false. Oh,

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Speaker 1: I'm gonna go old school with this one and double

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Speaker 1: down on defending Los Angeles public transit. I still don't

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Speaker 1: have a driver's license and uh, and I was riding

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Speaker 1: the bus. I had a great conversation on the bus

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Speaker 1: yesterday about how the bus is actually fine, which, now

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Speaker 1: that I'm saying about loud sense, really it's the bus.

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Speaker 1: I met this lady on the bus yesterday. She's like,

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Speaker 1: you know, people say the bus is bad, it's not bad.

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Speaker 1: I was like, yeah, you're right, the bus isn't bad.

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Speaker 1: And then we just said that back and forth for

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Speaker 1: a really long bus like normals. Here on the bus

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Speaker 1: talking about for my organ I'm transpar Yeah, I mean yeah,

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Speaker 1: I think it'd be overwhelming, especially if you you're used

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Speaker 1: to really good public transit. It might be a little

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Speaker 1: bit of a jarring transition. And it were convenient, but

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Speaker 1: it costs a dollar seventy five. Yesterday I had a terrarium.

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Speaker 1: I saw I was a bad person on the bus yesterday. Yeah, yeah, yeah,

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Speaker 1: bus Like here comes this woman with the snakes. Was

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Speaker 1: on my way back with a terrarium and talking with

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Speaker 1: this lady and she was like, you know, the bus

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Speaker 1: isn't bad. I was like, and what kind of menagerie?

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Speaker 1: She had a hands full of snakes. She's like, oh,

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Speaker 1: someone planned ahead, looking like pee. Herman in that one

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Speaker 1: scene when he's saving the pet shows like, so stupid,

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Speaker 1: I forgot for all these damn snakes. So you got

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Speaker 1: any paper towels. My snakes are peeing on my hands

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Speaker 1: if I put them in your the snakes. I was

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Speaker 1: about to ask in the night boot, sorry are you

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Speaker 1: for Manitoba? Is there? I was about to ask a

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Speaker 1: boot snakes and if they pee, I'm still in the

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Speaker 1: market for a snake. But so far I've just gotten

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Speaker 1: a terrarium, all right. Yeah. They have a single opening

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Speaker 1: called the vent or cloake actually, and they do a

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Speaker 1: fecal matter and uric acid excreted together. Excreating your acid

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Speaker 1: is more efficient than urinating because less water is wasted. Wow,

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Speaker 1: smart little snakes. That's how they be partying in the

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Speaker 1: desert for so long. I love a snake. Vent sounds,

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Speaker 1: I don't know. Wait, so I gotta do some venting

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Speaker 1: the event event some VENTI lingus later. Oh yeah, because

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Speaker 1: this is a double shout out. Tell my h VAC

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Speaker 1: installation people who if you don't go down vent your

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Speaker 1: what's wrong with you? Man? Is that what h VACK

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Speaker 1: stands for? High volume aer conditioning? No, it's heating ventilation

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Speaker 1: and that's what I'm um eating snake vagina vagina events. Anyway,

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Speaker 1: So yesterday the President did a real power move. He

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Speaker 1: was feeling, I don't know, like he wanted to just

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Speaker 1: flex a little bit he was feeling himself, so he

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Speaker 1: did the presidential alert where we all got a text

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Speaker 1: message at the same time that was like, just so

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Speaker 1: you know, I can do this anytime, you getting your face.

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Speaker 1: What was it even about? I just I my memory

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Speaker 1: has already been wiped by all the jokes that have

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Speaker 1: since been written about it. It was just a test,

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Speaker 1: like when on TV they used to have that, like

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Speaker 1: this is a test, they would like play the high

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Speaker 1: pitch noise. This seems much more efficient. But also I

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Speaker 1: feel like our powerful people now are more powerful than

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Speaker 1: they've ever been. Presidents used to take like six days

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Speaker 1: for people to find out we were at war, and

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Speaker 1: now they can just like reach you within a split

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Speaker 1: second if they want to at the president and like

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Speaker 1: you're Jeff bezos Is and Mark Zuckerby of the world

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Speaker 1: control like the fates of all of us. But uh, sorry,

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Speaker 1: was that a plural of sucker? Is that not? I'm

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Speaker 1: pretty sure that yeah, yeah, that's the multile ending of

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Speaker 1: a burg. Anytime I get something questionable, I'm going to

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Speaker 1: just point to you and say mensa, and it is mensa. Um,

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Speaker 1: I guess it's in case of a like weather event,

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Speaker 1: so that they can pick up people who are you know,

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Speaker 1: in that region and tell them to get out or something.

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Speaker 1: But look at how this motherfucker uses Twitter, right, and

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Speaker 1: they're like, could you imagine if he's like, yeah, he's

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Speaker 1: like it with this, everybody will say this right like

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Speaker 1: right away, even on Twitter. Yeah. I can't think of

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Speaker 1: a person I would trust less with that sort of power?

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Speaker 1: Do we know what kind of control? Like it can't

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Speaker 1: be like a Twitter like he'd have to get approval

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Speaker 1: from other people before that would be sent, right, you

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Speaker 1: would think so, But he is also the president. This

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Speaker 1: is did you just find out? Yeah, the president is

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Speaker 1: Donald Trump. We recorded this into October two thousand six. Man,

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Speaker 1: I can't wait for Hillary to be president. But yeah, yeah,

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Speaker 1: it's it's it's weird because when you think about the

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Speaker 1: botched missile alert that happened, why, yeah, I'm like, yo,

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Speaker 1: there's no way there's I just feel like something could

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Speaker 1: go wrong with this. That was my first instinct. I

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Speaker 1: was like, Okay, so he can just use like wireless

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Speaker 1: emergency alert suddenly now, well not to get tinfoil at

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Speaker 1: right away, but if you're sending something that is untrue

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Speaker 1: over and alert like that, that like what do you write, yeah, yeah,

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Speaker 1: just just like I really I need to do more

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Speaker 1: research on it. I sincerely hope that he doesn't just

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Speaker 1: have that, you know, at his immediate disposal, and that

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Speaker 1: someone would need to sign off on a message like that.

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Speaker 1: Well it's funny because you know you can opt out

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Speaker 1: of like weather amber alerts on your phone, you cannot

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Speaker 1: opt out of these will done. Yeah, they show the

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Speaker 1: funk up and it's yeah, as they say, it's meant

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Speaker 1: to alert the public instantly of grave public emergencies such

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Speaker 1: as terrorist attack or an invasion. Right, what do you

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Speaker 1: see that in the horizon there? Trumpet? Yea if Canada

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Speaker 1: and bads we gotta know. Hey, everyone about to our

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Speaker 1: northern overlords. Listen, Seth Rogan just landed back in a

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Speaker 1: weekend in Toronto. Yea, everybody know this is that's fucking wild.

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Speaker 1: It's also weird that they named it that to the president,

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Speaker 1: just because I think that would have made sense maybe

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Speaker 1: at any point in history, except now, like the brand

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Speaker 1: of president has been damaged, and that makes me think

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Speaker 1: even more that it's like he's pushing it because it's

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Speaker 1: like you couldn't find a person you would take a

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Speaker 1: message less seriously from presidential it would be one of them.

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Speaker 1: Even if it said there's fucking missiles coming for you,

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Speaker 1: I'd be like, funk out of here, bro, Yeah, like

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Speaker 1: and then watch I looked and I'm like, yo, what

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Speaker 1: is that flash in the sky? Freaking boy who cry

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Speaker 1: wolf push notifications just like Psycho there. Yeah, even if

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Speaker 1: it said like a message from the US government, I

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Speaker 1: would take it more seriously than like specifically said it

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Speaker 1: was federal alert or something like that. I'd be good

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Speaker 1: with that. Would Those are some notes for how Donald

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Speaker 1: Trunk could get his message out more factor seriously. Uh yeah,

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Speaker 1: is it? Papa Smurf is trying to say, like, m

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Speaker 1: you're not lying, Gargamel trying to get us cargonmel and

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Speaker 1: fants America. So a trailer dropped today for Vice, which

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Speaker 1: is a new movie about Dick Cheney starring makeup. It's

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Speaker 1: not a documentary about weed, hosted by a white guy

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Speaker 1: in a shirt and being like yo, right, No, it's

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Speaker 1: Christian Bale as Dick Cheney, which he isn't enough makeup

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Speaker 1: that he looks nothing like Christian Bale. But he doesn't

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Speaker 1: really look that much like Dick Cheney. I mean, in

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Speaker 1: the sense that he's a bald, old, chubby white guy.

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Speaker 1: There were moments that I think as a still image

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Speaker 1: I could see it. I think as you would talk

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Speaker 1: sometimes you can kind of tell. The thing that stood

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Speaker 1: out to me was that, like he doesn't have that

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Speaker 1: like soft body that you get from being an evildoer

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Speaker 1: over time. Like it looked like a like a big

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Speaker 1: dude just gaining weight. It looks like a middle aged

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Speaker 1: guy like that. His build was a little unbelievable. He

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Speaker 1: doesn't look like he has like yeah, like you're saying,

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Speaker 1: like evil man gout, yeah right right, Like his bones

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Speaker 1: are all soft. Your greed just pools in your mid section. Yeah, yeah, yeah, yeah,

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Speaker 1: you're just you're sort of decomposing very quickly. Sam Rockwell

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Speaker 1: is playing George W. Bush and that is heavily featured

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Speaker 1: in the trailer, and he's I think that's gonna be

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Speaker 1: pretty funny. It is by Adam McKay, who made Anchorman

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Speaker 1: and also The Big Short Not a Man and Anchorman too.

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Speaker 1: I guess I should oh, yeah, I don't know, you

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Speaker 1: know what, Man, that wasn't too good. So do you guys,

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Speaker 1: are you interested in this movie? Are you excited? I

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Speaker 1: don't I'm fascinated by that administration just in general, so

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Speaker 1: and knowing you know, even then, when I was in

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Speaker 1: high school or college and he was president, we all knew,

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Speaker 1: like everyone's like, yo, Dick Cheney is a real president.

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Speaker 1: So it's interesting now to see them do a movie

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Speaker 1: like that's just from the onset being like, hey, look,

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Speaker 1: I'm gonna be the fucking president. He's like all right

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Speaker 1: in yeah, like I'm in. I mean, I'll watch. I

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Speaker 1: think more so because Sam Rockwell really kind of looked

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Speaker 1: like George Bush for a second more than Christian Bale

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Speaker 1: looked like Dick Cheney. I'm more excited for Sam Rockwell's performance.

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Speaker 1: I don't know, I'm I'm in full like great depression

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Speaker 1: mode where I'm like, man, I just want to go

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Speaker 1: to movies and have a fun time, don't rem I've

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Speaker 1: just been listening to the Big Rock Candy Mountain for

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Speaker 1: the past two weeks. To me and Sophie and Caitlin

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Speaker 1: are all doing a girl's trip to see a star

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Speaker 1: is born. So you know, the world just wants to

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Speaker 1: feel good, right, But I do feel like because there

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Speaker 1: has been a movie called w that was in that

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Speaker 1: Josh Brolin played and I think now that you mentioned that,

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Speaker 1: this makes more sense as like the guy who should

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Speaker 1: be the star of a movie about a political conspiracy

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Speaker 1: being Dick Cheney. I think that was the problem with

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Speaker 1: w is that like nobody could imagine him doing anything,

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Speaker 1: like yeah, it was like what's the plot going to be?

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Speaker 1: Also by Oliver Stone. So alright, we're going to take

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Speaker 1: a quick break. We'll be right back. And we're back.

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Speaker 1: And there's a new report from Forbes, the Daily Beast.

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Speaker 1: I forget who wrote it originally, but the Forbes did

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Speaker 1: the report, did the original reporting. The money boys over

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Speaker 1: at Forbes are saying that President Trump's businesses are worth

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Speaker 1: less than the day before he you know, took the

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Speaker 1: oath of office. And I think also before he even

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Speaker 1: like came down the escalator. And there are a bunch

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Speaker 1: of reasons were it, but one of the main ones

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Speaker 1: is that he has real estate holdings in you know,

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Speaker 1: places where his brand is like absurdly toxic. Right, Like,

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Speaker 1: he has a lot of his money is in New

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Speaker 1: York real estate, and nobody has hated more than him,

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Speaker 1: and no brand is like more despised in New York

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Speaker 1: City than the Trump brand, and like constantly defaced too. Yeah,

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Speaker 1: well that's the other thing too, is because of that,

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Speaker 1: like the toxicity of the brand, Like if you go

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Speaker 1: to a like his properties, it's like you gotta go

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Speaker 1: through metal detectors and his bomb sniffing dogs, and like,

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Speaker 1: I just want to golf, Like I don't need to

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Speaker 1: go through like nine dimensions of national security or you're

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Speaker 1: like there's other places. And especially like if you have

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Speaker 1: even remotely a political conscience, even if you're like, oh,

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Speaker 1: this is technically a Trump Trump in place, I just

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Speaker 1: want a nice dinner, Like, no, you're on fucking blast

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Speaker 1: if you go in there like you're it's a liability,

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Speaker 1: you know, and rightfully so yeah, like from his real

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Speaker 1: estate took a huge hit his but his actual like worth,

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Speaker 1: his net worth dropped by over a billion dollars. What

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Speaker 1: about his self worth? I feel like about the same

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Speaker 1: amount of self worth. I think it's on illusion he

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Speaker 1: hasn't you know, he's found a billy. He's a husk exactly,

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Speaker 1: He's a husk little, He's exactly. But I think, yeah,

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Speaker 1: when you look at it, that a lot of them

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Speaker 1: were like the analysis they were doing it is like

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Speaker 1: if he divested, he actually could have made been making

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Speaker 1: money with the money he pulled out from his companies.

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Speaker 1: But besides because he was like, no, it's fine, I

409
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Speaker 1: want to look at it. My kids will run it

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Speaker 1: into the ground because his kids also are taking an

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Speaker 1: l Two, Eric and Don Jr. Started like a hotel

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Speaker 1: brand or whatever. They got involved in a hotel hotel

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Speaker 1: brand called Scion, which is like, yeah, exactly off brand Toyota.

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Speaker 1: It's made by Toyota or whatever. But anyway, Uh, they

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Speaker 1: had their whole idea where it's like, well, look Trump

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Speaker 1: Trump hotels are too much money for like what they

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Speaker 1: saw where like the Maga crowd in certain areas where

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Speaker 1: like the as it was popular. So like in sixteen

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Speaker 1: they were like, okay, so we'll do like a lower priced,

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Speaker 1: blue collar a Jason thing called Scion. Uh, and they

421
00:25:10,200 --> 00:25:11,800
Speaker 1: like they were they signed a deal to do like

422
00:25:11,920 --> 00:25:15,240
Speaker 1: four hotels in Mississippi and then they were They also

423
00:25:15,280 --> 00:25:18,400
Speaker 1: report here that those agreements they signed they generated only

424
00:25:18,520 --> 00:25:24,119
Speaker 1: twenty seven thousand dollars in seen maybe seven thousand dollars

425
00:25:24,200 --> 00:25:28,960
Speaker 1: yeah wow, Like most seven elevens make more than that.

426
00:25:29,040 --> 00:25:33,239
Speaker 1: I'd imagine like a couple of weeks, let me run,

427
00:25:33,359 --> 00:25:37,840
Speaker 1: I'll ask, I'll ask and yeah, yeah, and I'll ask

428
00:25:37,920 --> 00:25:40,840
Speaker 1: my local seven. They know me there? Do you know

429
00:25:40,920 --> 00:25:42,399
Speaker 1: them well enough that you could be like, Hey, what

430
00:25:42,480 --> 00:25:44,400
Speaker 1: are you pulling in every day? What was your daily

431
00:25:44,440 --> 00:25:46,639
Speaker 1: hauling here? I feel like if I there's one manager

432
00:25:46,680 --> 00:25:49,400
Speaker 1: I think would tell me would be rightfully dodgy, because

433
00:25:49,400 --> 00:25:52,120
Speaker 1: why would you tell me there's one who's got loose

434
00:25:52,160 --> 00:25:54,760
Speaker 1: lips right, especially to the woman's scream about where's the

435
00:25:54,800 --> 00:25:57,280
Speaker 1: where all the fucking sushi go? Where's Yeah? Why did

436
00:25:57,320 --> 00:26:00,399
Speaker 1: you just continue sushi? Can we stop having dead pool

437
00:26:00,440 --> 00:26:03,239
Speaker 1: on the Mike's hard lemonades? A lot of notes from

438
00:26:03,240 --> 00:26:05,399
Speaker 1: my seven eleven. Also, what do you guys bring in

439
00:26:05,480 --> 00:26:11,280
Speaker 1: every day? I'll push you guys make here? What's they're

440
00:26:11,280 --> 00:26:14,720
Speaker 1: always the way? I feel like they're always like two

441
00:26:14,800 --> 00:26:17,159
Speaker 1: seconds away from giving me a little job application. And

442
00:26:17,200 --> 00:26:20,920
Speaker 1: I was like, that's like they're misreading you, Like, hey,

443
00:26:21,000 --> 00:26:22,600
Speaker 1: I get what's going on. You're a big fan. I

444
00:26:22,640 --> 00:26:26,600
Speaker 1: see you getting You're getting annoy everybody. Here's a little job. Yeah.

445
00:26:26,680 --> 00:26:28,000
Speaker 1: They're like, we'd love to have you on the team.

446
00:26:28,320 --> 00:26:30,639
Speaker 1: They're great. I love those teenagers. They're nice. Can you

447
00:26:30,680 --> 00:26:35,160
Speaker 1: work two am to five seven am? Are you fifteen,

448
00:26:35,800 --> 00:26:39,800
Speaker 1: you're seven eleven is teenagers? Well it was over the summer.

449
00:26:39,880 --> 00:26:43,000
Speaker 1: Now it's that times kind of past. Yeah, I think

450
00:26:43,080 --> 00:26:46,359
Speaker 1: it's like, uh so, there's definitely like in at my

451
00:26:46,480 --> 00:26:49,040
Speaker 1: local one, there's like a band of teens that worked

452
00:26:49,040 --> 00:26:50,960
Speaker 1: there over the summer because I've lived there two summers now,

453
00:26:51,000 --> 00:26:52,560
Speaker 1: and I was like, whoa, where are you guys at there?

454
00:26:52,600 --> 00:27:00,719
Speaker 1: Like school? And I had five of them turn your

455
00:27:00,760 --> 00:27:06,320
Speaker 1: hat backwards? Awesome, Cool to see you later. So the

456
00:27:06,480 --> 00:27:11,600
Speaker 1: GOP guys, the Republican Party is really just doing the

457
00:27:11,720 --> 00:27:16,280
Speaker 1: most to come out here in support of women and

458
00:27:16,760 --> 00:27:21,720
Speaker 1: sexual assault. Pickles. Yeah, yeah, I think a lot of

459
00:27:21,760 --> 00:27:23,159
Speaker 1: this will be news for me because I had to

460
00:27:23,280 --> 00:27:27,000
Speaker 1: like disengage the past two days. It's so it's only

461
00:27:27,119 --> 00:27:30,560
Speaker 1: gotten worse and more bizarre as the days have gone on.

462
00:27:30,720 --> 00:27:35,280
Speaker 1: So on Tuesday, you know, Trump went down I believe,

463
00:27:35,400 --> 00:27:39,200
Speaker 1: to Mississippi, yes, for you know, for a rally. Visit

464
00:27:39,280 --> 00:27:42,040
Speaker 1: the Scion Hotel to visit make sure they make sure

465
00:27:42,040 --> 00:27:44,119
Speaker 1: they're a little more than two bucks a night, the

466
00:27:44,240 --> 00:27:48,760
Speaker 1: Corolla Motels, to see what's going on exactly. And yeah,

467
00:27:48,840 --> 00:27:50,440
Speaker 1: you know, he got on stage and did his little

468
00:27:50,720 --> 00:27:53,800
Speaker 1: free form jazz and then part of part of his set,

469
00:27:54,240 --> 00:27:56,959
Speaker 1: as we call it was just him basically just mocking

470
00:27:57,200 --> 00:28:00,760
Speaker 1: Christine blasi Ford and saying like, you know, saying like, oh,

471
00:28:00,920 --> 00:28:03,719
Speaker 1: she can't remember when it happened, where it happened, who

472
00:28:03,880 --> 00:28:05,680
Speaker 1: was there, what time of day, how she got it?

473
00:28:05,720 --> 00:28:07,200
Speaker 1: Like it was just kind of went on this free

474
00:28:07,240 --> 00:28:11,399
Speaker 1: flome spot on Christine blasi Ford impression where he was like,

475
00:28:11,720 --> 00:28:14,600
Speaker 1: I don't remember, but I remember I have one beer,

476
00:28:16,040 --> 00:28:19,160
Speaker 1: which is just it's absurd. And then so the crowd

477
00:28:19,240 --> 00:28:21,800
Speaker 1: started laughing and getting in on and then eventually they

478
00:28:21,880 --> 00:28:24,880
Speaker 1: were chanting lock her up for whatever reason. I love

479
00:28:24,920 --> 00:28:28,119
Speaker 1: how it's just the rhetoric is such that it's like

480
00:28:28,320 --> 00:28:31,480
Speaker 1: any woman we don't agree with is going to lock

481
00:28:31,560 --> 00:28:34,719
Speaker 1: her up. She's literally has to go to jail, because

482
00:28:35,720 --> 00:28:37,159
Speaker 1: I mean, there should be a sign of respect. You know,

483
00:28:37,160 --> 00:28:39,840
Speaker 1: if they haven't shouted lock her up at you, the

484
00:28:39,880 --> 00:28:42,400
Speaker 1: mensa thread might be saying that to you. You know, honestly,

485
00:28:42,480 --> 00:28:45,280
Speaker 1: it's a yet maybe if you're if you're a woman

486
00:28:45,360 --> 00:28:48,760
Speaker 1: not receiving threats, maybe you're not doing enough for the

487
00:28:50,360 --> 00:28:53,040
Speaker 1: But I mean, yeah, I think this really wasn't a

488
00:28:53,080 --> 00:28:55,920
Speaker 1: surprise because last week it seemed like everyone was like, wow,

489
00:28:56,120 --> 00:29:01,200
Speaker 1: he's not attacking a victim, Like, what's going on, is he? Yeah?

490
00:29:01,320 --> 00:29:03,120
Speaker 1: I think people were like maybe thinking that was a

491
00:29:03,200 --> 00:29:05,360
Speaker 1: real sign of his sinility. They're like, wait, he's not

492
00:29:05,640 --> 00:29:10,040
Speaker 1: doing the attacking of anyway, having sex get replaced by

493
00:29:10,080 --> 00:29:14,760
Speaker 1: a lookalike, Like, no, that's a day. But yeah, it

494
00:29:14,840 --> 00:29:17,560
Speaker 1: seems like, you know, after all that, after this you know,

495
00:29:18,120 --> 00:29:22,520
Speaker 1: bizarre rally not bizarre, pretty predictable rallies, everyone else has

496
00:29:22,560 --> 00:29:24,520
Speaker 1: been kind of following along with it, you know. Mitch

497
00:29:24,640 --> 00:29:27,400
Speaker 1: McConnell is just kind of going on being like, you know,

498
00:29:27,680 --> 00:29:31,200
Speaker 1: these people won't stop us from doing our duty. And

499
00:29:31,280 --> 00:29:33,520
Speaker 1: when he says these people, he's acting like there's like,

500
00:29:33,760 --> 00:29:37,360
Speaker 1: you know, insurgent like insurgent fighters out in the streets.

501
00:29:37,480 --> 00:29:40,520
Speaker 1: He's talking about survivors who have been coming up to

502
00:29:40,600 --> 00:29:44,600
Speaker 1: senators to confront them and say, please reconsider voting for

503
00:29:44,680 --> 00:29:47,600
Speaker 1: this person. You know, like, I think, along with Jeff Flake,

504
00:29:47,800 --> 00:29:49,760
Speaker 1: it shook the entire Senate to the point where they

505
00:29:49,800 --> 00:29:53,200
Speaker 1: weren't allowing people into the halls of the Senate building

506
00:29:53,480 --> 00:29:56,080
Speaker 1: because these guys just don't want to interact with people.

507
00:29:56,280 --> 00:29:58,320
Speaker 1: And Mitch McConnell was like, I think at an airport

508
00:29:58,440 --> 00:30:03,160
Speaker 1: or something percent just not even acknowledging this person. There

509
00:30:03,360 --> 00:30:06,760
Speaker 1: was David Purdue, who's the senator from Georgia. He was

510
00:30:06,840 --> 00:30:09,400
Speaker 1: going through the airport and two women were talking to him,

511
00:30:09,680 --> 00:30:11,840
Speaker 1: and like one woman got in front of like hi, nice,

512
00:30:12,000 --> 00:30:13,800
Speaker 1: like was putting her hand out to shake his hand,

513
00:30:14,000 --> 00:30:17,240
Speaker 1: like please meet me. I'm a sexual assault survival and

514
00:30:17,480 --> 00:30:19,800
Speaker 1: I would like to tell you something. He went, don't

515
00:30:19,840 --> 00:30:23,560
Speaker 1: touch me, like he acted on something like that the irony, right,

516
00:30:23,840 --> 00:30:27,280
Speaker 1: and also like he works for her, like they work

517
00:30:27,400 --> 00:30:31,320
Speaker 1: for but then coming off like as if this woman

518
00:30:31,440 --> 00:30:34,840
Speaker 1: was trying to attack him. He saw the harorist attacks

519
00:30:34,880 --> 00:30:37,040
Speaker 1: and the elevator on Jeff Flake. You know, you know

520
00:30:37,120 --> 00:30:40,080
Speaker 1: it's actually a germ thing of a survivor touches you.

521
00:30:40,440 --> 00:30:43,680
Speaker 1: Air trauma is catching, so he might have just been

522
00:30:43,720 --> 00:30:47,800
Speaker 1: taking precautious And then he fucking hid in the men's

523
00:30:47,880 --> 00:30:50,160
Speaker 1: room to avoid because they still were like what you're

524
00:30:50,160 --> 00:30:52,040
Speaker 1: not gonna shake my hand. He's like, don't touch me,

525
00:30:52,200 --> 00:30:54,520
Speaker 1: bro like that kind of ship, and then fucked off

526
00:30:54,560 --> 00:30:57,960
Speaker 1: into the men's room and follow this motherfucker into the

527
00:30:58,040 --> 00:31:01,600
Speaker 1: men's room because that's that shouldn't even be a thing anyway, yeah,

528
00:31:01,840 --> 00:31:04,120
Speaker 1: but it was a very but now we're seeing you know,

529
00:31:04,280 --> 00:31:06,480
Speaker 1: like the I think the GOP is now kind of

530
00:31:06,640 --> 00:31:09,400
Speaker 1: realizing Okay, so we can kind of come back on

531
00:31:09,520 --> 00:31:12,479
Speaker 1: the toxic mask ship and do that or because like then,

532
00:31:12,560 --> 00:31:16,440
Speaker 1: Lindsey Graham yesterday was basically saying when they were asking

533
00:31:16,520 --> 00:31:20,320
Speaker 1: him about Trump's comments about like like that was disgusting

534
00:31:20,400 --> 00:31:22,400
Speaker 1: what he said, like, well, what kind of president goes

535
00:31:22,480 --> 00:31:26,040
Speaker 1: off in attacks like a citizen based on their testimony

536
00:31:26,080 --> 00:31:29,400
Speaker 1: of the trauma that they went through. And Lindsey Graham's

537
00:31:29,400 --> 00:31:32,000
Speaker 1: defense was like, well, everything he said was factually true,

538
00:31:33,040 --> 00:31:37,000
Speaker 1: said you know, exactly, and then then also it wasn't

539
00:31:37,040 --> 00:31:39,440
Speaker 1: true because he said that she didn't know if it

540
00:31:39,560 --> 00:31:41,960
Speaker 1: was upstairs or down she she was like very specific

541
00:31:42,000 --> 00:31:45,880
Speaker 1: about where in the house APIs and and also let's

542
00:31:45,920 --> 00:31:49,239
Speaker 1: not forget she was asking the FBI to interview her.

543
00:31:49,320 --> 00:31:51,880
Speaker 1: Does seem like up until now from what we've read,

544
00:31:52,240 --> 00:31:55,400
Speaker 1: she has not been She still not been in as

545
00:31:55,440 --> 00:31:59,120
Speaker 1: of this recording, and the FBI is findings quote unquote

546
00:31:59,160 --> 00:32:03,239
Speaker 1: are going to be given to the senators and all

547
00:32:03,360 --> 00:32:06,560
Speaker 1: one senators will have secure access to the new information,

548
00:32:06,680 --> 00:32:10,440
Speaker 1: but not their staffs. They can't speak publicly about what's

549
00:32:10,440 --> 00:32:12,720
Speaker 1: in the file. And they're also not giving out like

550
00:32:12,840 --> 00:32:16,080
Speaker 1: electronic copies of it. There's no like PDF versions or anything.

551
00:32:16,160 --> 00:32:19,640
Speaker 1: It's just going to be very very yeah, just one hundred,

552
00:32:19,920 --> 00:32:25,000
Speaker 1: Like we're like actual like paper documents. So I guess

553
00:32:25,120 --> 00:32:28,640
Speaker 1: they're assuming that will make it harder for people to

554
00:32:29,480 --> 00:32:31,960
Speaker 1: like leak it, yeah, or just to have a you know,

555
00:32:32,400 --> 00:32:36,400
Speaker 1: worthwhile investigation that isn't a joke of itself. Right. It

556
00:32:36,520 --> 00:32:39,640
Speaker 1: could be a piece of paper that says like, l right,

557
00:32:39,720 --> 00:32:41,840
Speaker 1: it's like the paper says, dude, he swore that he

558
00:32:41,920 --> 00:32:47,320
Speaker 1: swear to God, he didn't he said so so FBI

559
00:32:48,080 --> 00:32:52,680
Speaker 1: if someone doesn't assaunde that ship was the point. And again,

560
00:32:52,840 --> 00:32:55,000
Speaker 1: and even when you think about how the investigation has

561
00:32:55,080 --> 00:32:56,760
Speaker 1: been done, you know a lot of people point out

562
00:32:56,880 --> 00:32:59,360
Speaker 1: that this is not a criminal investigation. It's a background

563
00:32:59,520 --> 00:33:02,440
Speaker 1: investing gation. So they are it's like they you know,

564
00:33:02,600 --> 00:33:04,920
Speaker 1: the client agency is the White House. So then the

565
00:33:05,000 --> 00:33:07,560
Speaker 1: White House says, I just want to know these things,

566
00:33:08,000 --> 00:33:11,440
Speaker 1: this little tiny thing, this really my optic investigator just

567
00:33:11,520 --> 00:33:13,640
Speaker 1: has to be these four things following up on a

568
00:33:13,720 --> 00:33:15,640
Speaker 1: job interview. Yeah, and then everything else. They're like, well,

569
00:33:15,680 --> 00:33:17,480
Speaker 1: what about no no, no, no, we don't. We don't

570
00:33:17,480 --> 00:33:20,040
Speaker 1: care about that. Just give me the words back that

571
00:33:20,240 --> 00:33:22,920
Speaker 1: will show that we can vote this ship back into

572
00:33:22,960 --> 00:33:26,280
Speaker 1: the I mean the fact that they specifically are not

573
00:33:26,520 --> 00:33:30,600
Speaker 1: allowed to talk to either Kavanaugh or Dr Ford, Like,

574
00:33:31,080 --> 00:33:33,400
Speaker 1: so what if they have follow up questions like they're

575
00:33:33,440 --> 00:33:36,440
Speaker 1: not that that just seems like we wouldn't well, we

576
00:33:36,680 --> 00:33:38,840
Speaker 1: wouldn't want the truth to way if they find out,

577
00:33:39,160 --> 00:33:42,240
Speaker 1: if they find out information that like changes something about

578
00:33:42,280 --> 00:33:45,320
Speaker 1: their testimony or challenges that they're not allowed to then

579
00:33:45,400 --> 00:33:47,120
Speaker 1: be like, I think that's what they write in the report,

580
00:33:47,280 --> 00:33:49,560
Speaker 1: is that like, well, you know, this is what we found,

581
00:33:49,640 --> 00:33:51,360
Speaker 1: or actually I don't know. The report might be written

582
00:33:51,400 --> 00:33:53,719
Speaker 1: so neutrally that it's merely their findings. And then from

583
00:33:53,760 --> 00:33:56,760
Speaker 1: there you have to reconcile that against whatever you've heard,

584
00:33:57,480 --> 00:33:59,760
Speaker 1: reconcile that with whatever. I mean. The truth would be

585
00:34:00,360 --> 00:34:04,600
Speaker 1: too incriminating, right right, yeah, and criminal investigation would be

586
00:34:05,160 --> 00:34:07,560
Speaker 1: itemat Well, then you'd have to talk to everybody and

587
00:34:07,680 --> 00:34:10,240
Speaker 1: not have people like Christine Blasi Ford's lawyers on Twitter

588
00:34:10,560 --> 00:34:13,480
Speaker 1: like announcing to the world, Hey, FBI, we're trying to

589
00:34:13,920 --> 00:34:16,080
Speaker 1: holler at you. We have names, we have witnesses, we

590
00:34:16,160 --> 00:34:19,759
Speaker 1: have other evidence we can show you. Yeah, I don't

591
00:34:19,840 --> 00:34:22,920
Speaker 1: hold out a lot of hope because I mean Democrats

592
00:34:23,800 --> 00:34:26,279
Speaker 1: seem like even they're like shook that they're going to

593
00:34:26,400 --> 00:34:32,320
Speaker 1: make Republicans mad because they're trying to hold rapists to account,

594
00:34:32,840 --> 00:34:34,680
Speaker 1: Like they're like, oh, but they're going to be so

595
00:34:34,800 --> 00:34:36,359
Speaker 1: mad at us. Well, you never know. I mean, if

596
00:34:36,360 --> 00:34:40,279
Speaker 1: there is something in that report that actually does corroborate

597
00:34:40,520 --> 00:34:43,320
Speaker 1: some of these allegations, I'm sure there will be somebody

598
00:34:43,360 --> 00:34:45,680
Speaker 1: who's gonna say, I don't give a funk how confidential

599
00:34:45,760 --> 00:34:48,680
Speaker 1: this is and just punted out there because a lot

600
00:34:48,680 --> 00:34:51,480
Speaker 1: of people are auditioning to be president, and hey, why

601
00:34:51,560 --> 00:34:54,120
Speaker 1: not at this point, because if there's real evidence there

602
00:34:54,160 --> 00:34:55,920
Speaker 1: that the people need to see, or at least that

603
00:34:56,080 --> 00:34:59,040
Speaker 1: we need to know how our senators are voting, I

604
00:34:59,120 --> 00:35:03,359
Speaker 1: think that's extreme the relevant pass and in the end,

605
00:35:03,480 --> 00:35:05,759
Speaker 1: right whether or not this information comes out, like we

606
00:35:05,840 --> 00:35:09,120
Speaker 1: said earlier, it only matters what Jeff Flake, Leasamkowski, and

607
00:35:09,160 --> 00:35:11,120
Speaker 1: Susan Collins does at this point. I mean, unless some

608
00:35:11,320 --> 00:35:14,720
Speaker 1: other senator actually finds their spine and it's like whoa, whoa, whoa.

609
00:35:15,160 --> 00:35:17,040
Speaker 1: I'm not gonna vote on this, but those are the

610
00:35:17,120 --> 00:35:19,839
Speaker 1: people who really have to be moved. They're the only

611
00:35:20,040 --> 00:35:22,520
Speaker 1: votes that are not fixed at this point. And so,

612
00:35:23,120 --> 00:35:25,600
Speaker 1: you know, based on what's in that report, you'd think

613
00:35:25,719 --> 00:35:28,800
Speaker 1: that from their perspective, they would see something that is like, Okay,

614
00:35:28,880 --> 00:35:31,439
Speaker 1: I can definitively say that this one, this actually didn't

615
00:35:31,480 --> 00:35:33,919
Speaker 1: turn anything up. But if there's even anything in there

616
00:35:34,280 --> 00:35:37,440
Speaker 1: that would show what I think most of us believed

617
00:35:37,440 --> 00:35:39,880
Speaker 1: to be the truth in this instance, we would have

618
00:35:40,040 --> 00:35:41,520
Speaker 1: to be like, hello, you saw this, and what do

619
00:35:41,560 --> 00:35:43,400
Speaker 1: you think about that? But again, I think that's the

620
00:35:43,480 --> 00:35:45,880
Speaker 1: cover that's provided when the public cannot see the report

621
00:35:45,880 --> 00:35:48,319
Speaker 1: because we have no idea how they are making their decisions. Yeah,

622
00:35:48,360 --> 00:35:50,920
Speaker 1: this is another small production just to say that they

623
00:35:50,960 --> 00:35:53,879
Speaker 1: did it. I'm in an off Broadway production of funk

624
00:35:53,960 --> 00:35:57,560
Speaker 1: the legal system. Well, yeah, if they're blocked off in

625
00:35:57,960 --> 00:36:00,799
Speaker 1: literally every like what is there a collective? If you're

626
00:36:00,840 --> 00:36:03,520
Speaker 1: not trying? I mean, and that seems to be the

627
00:36:03,680 --> 00:36:08,080
Speaker 1: same tone that all these you know, GOP politicians are

628
00:36:08,160 --> 00:36:12,160
Speaker 1: are going for. Is literally it's to the point where

629
00:36:12,719 --> 00:36:15,560
Speaker 1: like survivors are confronting them directly, and so they just

630
00:36:15,719 --> 00:36:20,719
Speaker 1: are running away or locking themselves in a room to

631
00:36:20,840 --> 00:36:23,160
Speaker 1: make the law so that they don't have to listen

632
00:36:23,200 --> 00:36:25,560
Speaker 1: to them again. But the just the equivalent of just

633
00:36:25,680 --> 00:36:27,880
Speaker 1: burying your head in the sand. It's a pathetic And

634
00:36:28,000 --> 00:36:32,440
Speaker 1: the three senators whose votes actually matter, Jeff Flake, Susan Collins, Lee, Samurkowski,

635
00:36:32,719 --> 00:36:36,840
Speaker 1: they all had comments that were like this is like,

636
00:36:37,000 --> 00:36:40,319
Speaker 1: this is disgusting, this is really disturbing, blah blah blah.

637
00:36:40,320 --> 00:36:42,840
Speaker 1: But again, I'm not sure if there this is the

638
00:36:42,920 --> 00:36:44,759
Speaker 1: same sort of tactic we've seen in the past where

639
00:36:44,800 --> 00:36:47,719
Speaker 1: it's like we'll just come out and criticize the president's

640
00:36:47,760 --> 00:36:51,600
Speaker 1: words and you can have the appearance of seeing seeming

641
00:36:51,680 --> 00:36:53,160
Speaker 1: like you're on the right side, and then when it

642
00:36:53,239 --> 00:36:55,960
Speaker 1: comes down to the vote, you'll just be a rubber stanp. Yeah.

643
00:36:56,000 --> 00:37:00,360
Speaker 1: I mean, especially with Jeff Flake, it's like it literally

644
00:37:00,520 --> 00:37:02,239
Speaker 1: is just a choice of like are you going to

645
00:37:02,400 --> 00:37:05,319
Speaker 1: side with people where you go to your own ass

646
00:37:05,520 --> 00:37:09,000
Speaker 1: And it's not even clear what at this point, you know,

647
00:37:09,280 --> 00:37:12,279
Speaker 1: what his actual calculus is in terms of how he's

648
00:37:12,280 --> 00:37:14,680
Speaker 1: looking at a presidential bit. I mean, like you could

649
00:37:14,719 --> 00:37:17,000
Speaker 1: probably if you're trying to frame yourself, if you're really

650
00:37:17,040 --> 00:37:19,120
Speaker 1: going to run in twenty and you're coming from the

651
00:37:19,200 --> 00:37:22,120
Speaker 1: Republican Party, you're you'd want to probably frame yourself as

652
00:37:22,160 --> 00:37:24,440
Speaker 1: like the antidote to Trump if you're an actual conservative,

653
00:37:24,440 --> 00:37:26,160
Speaker 1: where it's like I stood up to this guy, but

654
00:37:26,520 --> 00:37:29,480
Speaker 1: you only say words that give you the appearance of

655
00:37:29,560 --> 00:37:34,040
Speaker 1: independence without actually voting that way. So it's it's hard

656
00:37:34,120 --> 00:37:36,840
Speaker 1: to know. And you know, to further that point, like

657
00:37:36,920 --> 00:37:39,560
Speaker 1: you know, when people are asking Jeff Flake about his comments,

658
00:37:39,600 --> 00:37:41,000
Speaker 1: he was like, well, that's not going to change the

659
00:37:41,040 --> 00:37:42,680
Speaker 1: way I would vote. That's not going to impact the

660
00:37:42,680 --> 00:37:44,799
Speaker 1: way I vote. And then in another interview someone asked,

661
00:37:45,120 --> 00:37:47,360
Speaker 1: you know, we're finding out there's more and more evidence

662
00:37:47,400 --> 00:37:50,480
Speaker 1: of Brett Kavanaughs like drinking, lifestyle and high school and

663
00:37:50,520 --> 00:37:52,759
Speaker 1: college emerging. That seems like he's being deceptive at the

664
00:37:52,880 --> 00:37:56,040
Speaker 1: very least of not outright lying to the Senate about

665
00:37:56,160 --> 00:37:58,839
Speaker 1: his his drinking. And then he kind of danced around.

666
00:37:58,840 --> 00:38:01,040
Speaker 1: I was like, well, I I I'm not gonna really

667
00:38:01,360 --> 00:38:04,399
Speaker 1: sit here and define what excessive drinking is, so I'm

668
00:38:04,440 --> 00:38:07,839
Speaker 1: not sure. So he's already kind of you see him say,

669
00:38:08,080 --> 00:38:10,520
Speaker 1: like he's operating with all this double speak. So it's

670
00:38:10,600 --> 00:38:13,200
Speaker 1: very hard to nail down work. I've seen some comparisons,

671
00:38:13,239 --> 00:38:15,960
Speaker 1: and I guess I'm curious what you guys think is.

672
00:38:16,120 --> 00:38:19,680
Speaker 1: I've seen some comparisons between Jeff Lake and a lot

673
00:38:19,800 --> 00:38:22,160
Speaker 1: of like how John McCain's rhetoric used to be where

674
00:38:22,400 --> 00:38:24,719
Speaker 1: he'd like, you know, choose these moments to be like,

675
00:38:24,920 --> 00:38:27,759
Speaker 1: actually I might believe women and everyone's like, wow, the

676
00:38:27,840 --> 00:38:30,520
Speaker 1: most progressive guy in the g LP, and then would

677
00:38:30,520 --> 00:38:33,000
Speaker 1: do all the despicable bullshit on the side and get

678
00:38:33,160 --> 00:38:36,840
Speaker 1: and so that he becomes a candidate who could conceivably

679
00:38:36,920 --> 00:38:40,160
Speaker 1: be for the people, even though in reality most likely

680
00:38:40,239 --> 00:38:42,920
Speaker 1: he's not right. Right. That's why, Yeah, that's what Nick

681
00:38:43,000 --> 00:38:45,440
Speaker 1: and I were talking about earlier, was that like it

682
00:38:45,520 --> 00:38:48,320
Speaker 1: seems like if he's not actually worried about doing the

683
00:38:48,520 --> 00:38:51,840
Speaker 1: right thing, he's definitely done the thing where it appears

684
00:38:51,960 --> 00:38:54,920
Speaker 1: like he's going to do the right thing, and maybe

685
00:38:55,000 --> 00:38:57,120
Speaker 1: people will just he can point to those moments and

686
00:38:57,160 --> 00:38:59,759
Speaker 1: then if people want to debunk that, they have to

687
00:38:59,800 --> 00:39:01,400
Speaker 1: be like, well you actually didn't vote the right way

688
00:39:01,400 --> 00:39:02,920
Speaker 1: and blah blah blah blah, and he can just be like, well,

689
00:39:03,000 --> 00:39:05,640
Speaker 1: you know, I I I thought for Dr Ford to

690
00:39:05,680 --> 00:39:08,080
Speaker 1: have an investigation. You remember the time that I said,

691
00:39:08,239 --> 00:39:13,840
Speaker 1: maybe I really feel like that is an outdated strategy.

692
00:39:14,000 --> 00:39:18,360
Speaker 1: That things are just moving, like accelerating in opposite directions

693
00:39:18,800 --> 00:39:21,680
Speaker 1: to the point that nobody there's not gonna be anybody

694
00:39:21,760 --> 00:39:23,839
Speaker 1: who's going to benefit from being in the middle, because

695
00:39:23,880 --> 00:39:28,040
Speaker 1: it just seems like, like, for instance, the Heidi Heike

696
00:39:28,120 --> 00:39:33,239
Speaker 1: Camp is a Democratic senator in North Dakota who has

697
00:39:33,320 --> 00:39:35,480
Speaker 1: not come out and said like how she's going to

698
00:39:35,600 --> 00:39:38,719
Speaker 1: vote on this, and but her opponent has been like,

699
00:39:39,120 --> 00:39:42,560
Speaker 1: I don't care if he did sexually assault her, even

700
00:39:42,600 --> 00:39:45,080
Speaker 1: if it's all true, we should still vote him into office.

701
00:39:45,560 --> 00:39:48,080
Speaker 1: And he because of that, has opened up a ten

702
00:39:48,200 --> 00:39:52,680
Speaker 1: point lead over Heidi heide Camp. And Yes, strategists on

703
00:39:52,760 --> 00:39:57,520
Speaker 1: both sides think they're seeing like new Republican intensity because

704
00:39:57,719 --> 00:40:01,320
Speaker 1: of the hearings, like because they were like, well, you know,

705
00:40:01,600 --> 00:40:07,719
Speaker 1: they're basically pro Cavanaugh energy, which seems completely just outside

706
00:40:07,760 --> 00:40:11,480
Speaker 1: of the realm of possibility and reality in my mind.

707
00:40:11,719 --> 00:40:14,520
Speaker 1: But that's why I think some people are really just

708
00:40:14,640 --> 00:40:17,319
Speaker 1: framing this in terms of like a culture war. It's

709
00:40:17,360 --> 00:40:20,520
Speaker 1: not like, objectively, does should a person who behaves like

710
00:40:20,640 --> 00:40:23,439
Speaker 1: this be a judge? It's like no, you just don't

711
00:40:23,520 --> 00:40:26,400
Speaker 1: like him because he's team US, And it's like no, no, no, no, no,

712
00:40:26,520 --> 00:40:30,000
Speaker 1: no no, I mean sure on some level, but also

713
00:40:30,120 --> 00:40:33,279
Speaker 1: there's plenty on the merits to say this person is

714
00:40:33,320 --> 00:40:35,640
Speaker 1: wholly unfit to be in the Supreme Court. And that's

715
00:40:35,680 --> 00:40:37,520
Speaker 1: where people and that's where we can see when the

716
00:40:37,600 --> 00:40:40,640
Speaker 1: culture war thing happens, because people's eyes gloss over and

717
00:40:40,880 --> 00:40:43,239
Speaker 1: you have women cheering for like someone who's accused of

718
00:40:43,320 --> 00:40:45,080
Speaker 1: sexual assault and things like this and being like, well,

719
00:40:45,080 --> 00:40:46,480
Speaker 1: it doesn't matter, it doesn't matter, it doesn't matter. He's

720
00:40:46,520 --> 00:40:48,560
Speaker 1: gonna be fine because he's just gonna overturn ROEVI weight.

721
00:40:48,719 --> 00:40:50,520
Speaker 1: I think it's because like and and another thing is

722
00:40:50,560 --> 00:40:53,879
Speaker 1: like the and it's regressed even in the past couple

723
00:40:53,880 --> 00:40:57,120
Speaker 1: of days. But like the tenant of the conversation on

724
00:40:57,280 --> 00:41:00,440
Speaker 1: the GOP side has altered slightly since like you're you're

725
00:41:00,520 --> 00:41:03,960
Speaker 1: looking back at the Anita Hill hearings, uh in ninety one,

726
00:41:04,040 --> 00:41:06,200
Speaker 1: where now they feel like they have to say we

727
00:41:06,360 --> 00:41:09,920
Speaker 1: believe survivors. We just think this person specifically is a

728
00:41:10,000 --> 00:41:13,359
Speaker 1: fucking faker right there. And and so it's all these

729
00:41:13,480 --> 00:41:18,279
Speaker 1: like bizarrow like virus mutating qualifiers to be like no,

730
00:41:18,480 --> 00:41:22,360
Speaker 1: we're like with you know, we're we we don't hate women,

731
00:41:22,440 --> 00:41:25,319
Speaker 1: we just think this one is wrong, right, we found

732
00:41:25,400 --> 00:41:28,840
Speaker 1: Dr Ford very compelling, but because that was like the

733
00:41:29,080 --> 00:41:32,680
Speaker 1: acceptable word to use among Republicans. But they're like, yeah,

734
00:41:32,719 --> 00:41:36,239
Speaker 1: I believe her. I believe something happened to her. So

735
00:41:36,560 --> 00:41:39,200
Speaker 1: I mean, it's like they're they're willing to literally, you know,

736
00:41:39,400 --> 00:41:42,880
Speaker 1: disqualify people who they find to be lesser, one by

737
00:41:42,960 --> 00:41:46,200
Speaker 1: one if necessary. But it almost seems like it's a

738
00:41:47,000 --> 00:41:48,880
Speaker 1: as it relates to the mid terms. It seems like

739
00:41:48,920 --> 00:41:52,320
Speaker 1: it's a battle of like which side can not piss

740
00:41:52,360 --> 00:41:55,720
Speaker 1: off the other side more because like now the everybody

741
00:41:55,840 --> 00:41:59,440
Speaker 1: was predicting a blue wave, but now that the right

742
00:41:59,560 --> 00:42:03,520
Speaker 1: has been piste off about like Kavanaugh potentially not being approved.

743
00:42:04,120 --> 00:42:07,880
Speaker 1: The latest Pew Research Center Pole says that of Republicans

744
00:42:07,960 --> 00:42:11,440
Speaker 1: described themselves as quote more enthusiastic than usual, which is

745
00:42:11,640 --> 00:42:14,759
Speaker 1: more than in the red waves of two thousand ten

746
00:42:14,840 --> 00:42:18,719
Speaker 1: and two thousand and fourteen. So it's like just both

747
00:42:18,800 --> 00:42:21,840
Speaker 1: sides are incredibly angry, and I don't I don't know.

748
00:42:22,400 --> 00:42:25,800
Speaker 1: It's basically who's going to be angrier and like angry

749
00:42:25,920 --> 00:42:29,600
Speaker 1: enough to turn out for to vote in the mid terms.

750
00:42:29,880 --> 00:42:33,600
Speaker 1: The only successful bipartisan effort going on in America right

751
00:42:33,640 --> 00:42:39,200
Speaker 1: now is Mayo Chup You really inserted yourself into that battle.

752
00:42:39,520 --> 00:42:41,960
Speaker 1: Two sides you never thought would meet in the middle

753
00:42:42,040 --> 00:42:46,200
Speaker 1: in a way that is at least palatable. Is mayo.

754
00:42:46,600 --> 00:42:50,759
Speaker 1: It's called fry sauces. Someone's I didn't know. Yeah, yeah,

755
00:42:50,840 --> 00:42:53,400
Speaker 1: it was. They stole the idea. But that's also you know,

756
00:42:53,480 --> 00:42:56,600
Speaker 1: beautiful and American. They took it. I remember there was

757
00:42:56,640 --> 00:42:58,440
Speaker 1: a restaurant used to eat at one my old job,

758
00:42:58,560 --> 00:43:00,879
Speaker 1: and they had like it would. I only went because

759
00:43:00,920 --> 00:43:03,880
Speaker 1: they had an obscene amount of sauces you could like

760
00:43:04,120 --> 00:43:08,360
Speaker 1: dump out to put on your fries. It was like barbecue, Ranch, buffalo,

761
00:43:08,600 --> 00:43:12,000
Speaker 1: spicy something spicy, ketchup fry sauce. I was like, yeah,

762
00:43:12,040 --> 00:43:16,200
Speaker 1: that's right, it could be a fingernail. But like I

763
00:43:16,239 --> 00:43:18,120
Speaker 1: remember eating the fry sauce for the first time and

764
00:43:18,160 --> 00:43:20,279
Speaker 1: I was like, yo, this tastes like nothing, and I

765
00:43:20,440 --> 00:43:22,600
Speaker 1: was very upset by it. It was just sort of yeah,

766
00:43:22,640 --> 00:43:25,040
Speaker 1: it was because there it was. It was just the

767
00:43:25,520 --> 00:43:28,600
Speaker 1: meeting of ketchup and manna. Anyway, it's you know, I

768
00:43:28,719 --> 00:43:31,600
Speaker 1: can't wait for mayochup. Okay, well, good that that makes

769
00:43:31,640 --> 00:43:36,920
Speaker 1: one of us. I'm a moderate. Now, crist all right,

770
00:43:36,960 --> 00:43:39,359
Speaker 1: we're gonna take another quick break. We'll be right back,

771
00:43:49,640 --> 00:43:54,680
Speaker 1: and we're back. And there is a three hundred thousand

772
00:43:54,760 --> 00:43:59,920
Speaker 1: word New York Times article today about the Trump organization

773
00:44:00,000 --> 00:44:04,839
Speaker 1: sans like financial history, basically how Donald Trump got rich

774
00:44:05,880 --> 00:44:10,920
Speaker 1: and massive fraud. Yeah, it's basically, Well, the thing that

775
00:44:11,200 --> 00:44:15,400
Speaker 1: seems like it cuts the most against because I think everybody,

776
00:44:15,520 --> 00:44:19,360
Speaker 1: including his supporters, are of the impression that like he

777
00:44:20,000 --> 00:44:24,160
Speaker 1: finds loopholes and like finds ways smart business. Right. But

778
00:44:24,440 --> 00:44:27,080
Speaker 1: the thing that he has always claimed is that he

779
00:44:27,440 --> 00:44:30,480
Speaker 1: only got a million, only got a million dollars from

780
00:44:30,520 --> 00:44:34,000
Speaker 1: his dad and then paid it back fully, So it

781
00:44:34,160 --> 00:44:36,879
Speaker 1: was just basically like a bank loan. He's a he's

782
00:44:36,880 --> 00:44:40,719
Speaker 1: a business genius, you guys, Daddy gave me. But what

783
00:44:40,840 --> 00:44:44,760
Speaker 1: they found is that by age three, Trump was earning

784
00:44:44,840 --> 00:44:48,520
Speaker 1: two hundred thousand dollars a year in today's dollars from

785
00:44:48,640 --> 00:44:52,600
Speaker 1: his father's empire, which I mean, what a business genius.

786
00:44:52,680 --> 00:44:55,839
Speaker 1: By age three he was earning that much. Yeah, why

787
00:44:56,080 --> 00:44:58,040
Speaker 1: hanging his hat on that, right, He's like, how much

788
00:44:58,040 --> 00:45:00,440
Speaker 1: you're making? Right now? He was making fucking five times that.

789
00:45:00,440 --> 00:45:06,120
Speaker 1: When I was three, I was a boss baby. That

790
00:45:06,280 --> 00:45:09,239
Speaker 1: movies about me. You didn't know Alec Baldwin's ripping me

791
00:45:09,280 --> 00:45:12,000
Speaker 1: off left and right goes this thing to a biopick

792
00:45:12,040 --> 00:45:16,880
Speaker 1: of my life. He was he was a millionaire by

793
00:45:16,960 --> 00:45:20,400
Speaker 1: age eight, and this is all just money being given

794
00:45:20,480 --> 00:45:22,399
Speaker 1: to him. By the time he was seventeen, his father

795
00:45:22,480 --> 00:45:25,640
Speaker 1: had given him part ownership of a fifty two unit

796
00:45:25,719 --> 00:45:29,040
Speaker 1: apartment building, and then right after he graduated college, he

797
00:45:29,120 --> 00:45:31,480
Speaker 1: was receiving the equivalent of one million dollars a year

798
00:45:31,560 --> 00:45:35,320
Speaker 1: from his dad. The money increased with the years to

799
00:45:35,560 --> 00:45:38,480
Speaker 1: more than five million dollars annually in the in his

800
00:45:38,600 --> 00:45:41,960
Speaker 1: forties and fifties. So he was just he's starting to

801
00:45:42,200 --> 00:45:45,080
Speaker 1: you know, it's like you gotta ease him into adulthood

802
00:45:46,360 --> 00:45:48,759
Speaker 1: when you started giving him five million dollars a year.

803
00:45:48,840 --> 00:45:51,759
Speaker 1: When he turns yeah, when he's out in the real

804
00:45:51,840 --> 00:45:55,919
Speaker 1: world only getting five million dollars a year. So it's

805
00:45:56,000 --> 00:45:58,920
Speaker 1: just he's a you know, I think a lot of

806
00:45:59,040 --> 00:46:03,279
Speaker 1: people who have doubted his credentials kind of suspected that

807
00:46:03,400 --> 00:46:05,320
Speaker 1: he's just a rich boy who got a lot of

808
00:46:05,400 --> 00:46:09,200
Speaker 1: money from his dad. But right, I mean the point

809
00:46:09,239 --> 00:46:11,719
Speaker 1: that a lot of people and financial reporters and people

810
00:46:11,760 --> 00:46:16,120
Speaker 1: who actually you know, understand huge quantities of money like

811
00:46:16,280 --> 00:46:18,840
Speaker 1: this have a point they've made is that if he

812
00:46:19,040 --> 00:46:21,960
Speaker 1: had just taken the money that his dad gave him

813
00:46:22,320 --> 00:46:25,759
Speaker 1: and put it in some like managed yeah like or

814
00:46:25,880 --> 00:46:29,280
Speaker 1: just like yeah an SMP, he would be way richer

815
00:46:29,360 --> 00:46:32,120
Speaker 1: now than he is, based on like all the ship

816
00:46:32,280 --> 00:46:34,759
Speaker 1: he did with the money, which was basically invest in

817
00:46:35,320 --> 00:46:39,480
Speaker 1: businesses that should be very easy to run, like casinos,

818
00:46:39,719 --> 00:46:43,840
Speaker 1: and just like bankrupting those businesses. So it's funny to

819
00:46:44,280 --> 00:46:47,160
Speaker 1: talk about two you know, like he he he hates

820
00:46:47,200 --> 00:46:50,440
Speaker 1: that estate tax. And when you find out like essentially

821
00:46:50,520 --> 00:46:54,200
Speaker 1: that his mother and father, who my goodness, are to

822
00:46:54,600 --> 00:46:58,080
Speaker 1: the most human beings the strength, they look like just

823
00:46:58,760 --> 00:47:05,520
Speaker 1: evil elderly parents from a Tim Burton movie Seven Days

824
00:47:05,560 --> 00:47:09,680
Speaker 1: to Live imagery. Mary's hair is actually the most impressive

825
00:47:09,719 --> 00:47:12,680
Speaker 1: thing I've ever seen because it's like Marge Simpson if

826
00:47:12,800 --> 00:47:15,560
Speaker 1: she got her hair done by a very drunk person.

827
00:47:15,760 --> 00:47:19,200
Speaker 1: Yeah solid, Yeah, it's falling off to the side and

828
00:47:19,320 --> 00:47:23,200
Speaker 1: you don't know, like the starts or begins. Who's that

829
00:47:23,320 --> 00:47:26,880
Speaker 1: guy eshirt? Like an m c ST Drawing her hair

830
00:47:27,120 --> 00:47:29,120
Speaker 1: is like, I'm like, where is the base? Is it

831
00:47:29,600 --> 00:47:32,480
Speaker 1: twisting on its stuff? Anyway, when you read about all

832
00:47:32,600 --> 00:47:35,000
Speaker 1: the money that they inherited and what they actually paid.

833
00:47:35,280 --> 00:47:37,879
Speaker 1: So you know, they probably they're saying they inherited around

834
00:47:37,920 --> 00:47:42,000
Speaker 1: a billion dollars and you know, based on the taxes

835
00:47:42,040 --> 00:47:44,200
Speaker 1: that they would have had to pay, which is about

836
00:47:44,560 --> 00:47:49,440
Speaker 1: what for like you know, gifts and inheritances. So by

837
00:47:49,480 --> 00:47:52,280
Speaker 1: that math, they should have paid about five hundred fifty

838
00:47:52,320 --> 00:47:54,879
Speaker 1: million dollars in taxes total and all that inherited wealth.

839
00:47:55,120 --> 00:47:58,080
Speaker 1: But through all their fucking trickery, they ended up paying

840
00:47:58,160 --> 00:48:01,759
Speaker 1: only fifty two point two million dollars or five percent, right,

841
00:48:01,920 --> 00:48:03,880
Speaker 1: And like this is the kind of ship we're talking about,

842
00:48:03,920 --> 00:48:08,279
Speaker 1: Like like I don't know. I mean, I I'm glad

843
00:48:08,360 --> 00:48:12,640
Speaker 1: that this story was effectively reported. I don't really we do.

844
00:48:13,280 --> 00:48:16,480
Speaker 1: We not all know that at this point. It's weird. Yeah,

845
00:48:16,560 --> 00:48:18,480
Speaker 1: I mean that's the sad thing that's like we're sort

846
00:48:18,480 --> 00:48:21,360
Speaker 1: of in this weird moment to where immediately I'm like, well,

847
00:48:21,400 --> 00:48:23,560
Speaker 1: what's the statute of limitations on this ship? It's all

848
00:48:23,640 --> 00:48:26,759
Speaker 1: past and there's only civil litigation they could go through

849
00:48:26,800 --> 00:48:28,279
Speaker 1: to try and recoup any of that money. I know,

850
00:48:28,320 --> 00:48:30,319
Speaker 1: build a Blasio has said, like we're looking to see

851
00:48:30,360 --> 00:48:32,680
Speaker 1: how we can recoup some of his money. But it's

852
00:48:32,719 --> 00:48:35,520
Speaker 1: not like the kind of thing where it's like ah ha, finally,

853
00:48:35,880 --> 00:48:37,800
Speaker 1: like as John Oliver will do on his shows, like

854
00:48:37,880 --> 00:48:40,600
Speaker 1: we got him, like it ain't gonna happen, and he's

855
00:48:40,600 --> 00:48:43,480
Speaker 1: already and he's not even really denying it either. Trump Like,

856
00:48:43,560 --> 00:48:46,239
Speaker 1: it's just like that's tired that if you want to

857
00:48:46,400 --> 00:48:49,200
Speaker 1: hide information from a Trump supporter, or just put it

858
00:48:49,360 --> 00:48:52,280
Speaker 1: in a fifty five thousand word New York Times article

859
00:48:52,719 --> 00:48:56,480
Speaker 1: because I'm sure nobody's reading that. But I mean, at

860
00:48:56,520 --> 00:49:00,480
Speaker 1: the same time, just you know, truthfully and honestly speaking,

861
00:49:01,560 --> 00:49:07,680
Speaker 1: what he does is rob the of American out of money,

862
00:49:07,960 --> 00:49:10,680
Speaker 1: you know, and still be a bad businessman, right and

863
00:49:10,800 --> 00:49:15,920
Speaker 1: then blow that money on helicopters and failed businesses. Do

864
00:49:16,080 --> 00:49:18,320
Speaker 1: you think I mean, I just look at the photos

865
00:49:18,360 --> 00:49:21,640
Speaker 1: of him and his parents, Like how much do you

866
00:49:21,760 --> 00:49:25,239
Speaker 1: think they raised him being like Donald you are so

867
00:49:25,480 --> 00:49:28,719
Speaker 1: miserable or do you think they were encouraging him? Well,

868
00:49:28,840 --> 00:49:31,600
Speaker 1: his dad In the article, it says that his dad

869
00:49:31,680 --> 00:49:34,520
Speaker 1: and him always they were like clones of one another.

870
00:49:34,760 --> 00:49:38,080
Speaker 1: They had the same values. They've everything as like, you know,

871
00:49:38,320 --> 00:49:42,360
Speaker 1: kill or be killed. Essentially they only know two speeds

872
00:49:44,239 --> 00:49:47,400
Speaker 1: we have only he gone in the Durst direction. You

873
00:49:47,520 --> 00:49:52,160
Speaker 1: know like Durst, you he not too. If we should

874
00:49:52,160 --> 00:49:58,400
Speaker 1: all be a little more like Robert Durst. Lezard thus

875
00:49:58,600 --> 00:50:01,560
Speaker 1: times just burped during your urder confession. But you know

876
00:50:01,640 --> 00:50:05,080
Speaker 1: we're a neck brace to court. I think it's a lesson.

877
00:50:05,560 --> 00:50:09,120
Speaker 1: Say you were on heroin crimes don't count? Could you

878
00:50:09,280 --> 00:50:12,600
Speaker 1: imagine that? If that's where Donald Trump? If he's just like, hey,

879
00:50:12,719 --> 00:50:15,080
Speaker 1: it seems like this Durst guy has some some good

880
00:50:15,160 --> 00:50:17,120
Speaker 1: ideas that wors a neck brace to court. All that

881
00:50:17,239 --> 00:50:20,279
Speaker 1: to say Robert Durst had just just as much money,

882
00:50:20,400 --> 00:50:22,000
Speaker 1: and he was like, no, I think I'm just gonna

883
00:50:22,040 --> 00:50:25,640
Speaker 1: kill people right right? Yeah, sadly I am. Why am

884
00:50:25,640 --> 00:50:29,440
Speaker 1: I longing for President Durst? And then like the jinks

885
00:50:29,480 --> 00:50:33,840
Speaker 1: with Donald Trump, just a switched reality was Was he

886
00:50:33,960 --> 00:50:42,920
Speaker 1: Durst pretty progressive? I mean, okay, murderous side, I mean

887
00:50:43,320 --> 00:50:47,160
Speaker 1: murderous side. I mean there are worse people out there, certainly,

888
00:50:48,120 --> 00:50:50,239
Speaker 1: certainly worse people. I don't know what his politics where

889
00:50:50,280 --> 00:50:54,439
Speaker 1: he's usually in hiding. How he treated women would lead

890
00:50:54,480 --> 00:50:57,080
Speaker 1: you to believe that maybe not maybe not the most

891
00:50:57,200 --> 00:50:59,800
Speaker 1: progressive dude. But he did also kill a man so

892
00:51:00,200 --> 00:51:03,040
Speaker 1: close to pa. If he killed one more man, it

893
00:51:03,080 --> 00:51:08,759
Speaker 1: would have been a dozens of dogs that he all

894
00:51:08,880 --> 00:51:13,120
Speaker 1: named the same thing, which is one of my favorite crazy,

895
00:51:13,480 --> 00:51:17,080
Speaker 1: crazy details of any crazy person is that he was

896
00:51:17,200 --> 00:51:20,120
Speaker 1: just like kept naming them all the same thing and

897
00:51:20,280 --> 00:51:24,239
Speaker 1: murdering them. Yeah, that's your durst up day of the day.

898
00:51:24,760 --> 00:51:29,320
Speaker 1: And so this is an interesting little release from the

899
00:51:29,440 --> 00:51:32,719
Speaker 1: hater app, which I was not familiar with, but Miles

900
00:51:32,760 --> 00:51:36,759
Speaker 1: explained what the hater app. It's basically tender for haters, right.

901
00:51:37,160 --> 00:51:40,640
Speaker 1: Their whole idea is that they'll match people based not

902
00:51:40,800 --> 00:51:45,200
Speaker 1: on shared interest, but shared hatred of something um which

903
00:51:45,239 --> 00:51:48,600
Speaker 1: I think is called the four Chan dating section. But yeah,

904
00:51:48,640 --> 00:51:50,160
Speaker 1: their whole thing is like you put in like what's

905
00:51:50,160 --> 00:51:52,880
Speaker 1: the thing you don't like or whatever, and every like

906
00:51:53,080 --> 00:51:55,520
Speaker 1: I feel like every year the last for the last

907
00:51:55,600 --> 00:51:57,440
Speaker 1: year and a half the apps existed, they've looked like

908
00:51:57,520 --> 00:52:00,160
Speaker 1: released list before they're like, based on our data, Uh,

909
00:52:00,520 --> 00:52:03,320
Speaker 1: these are what the people hate most in these specific

910
00:52:03,440 --> 00:52:06,239
Speaker 1: states and now they just did when that was all

911
00:52:06,280 --> 00:52:12,360
Speaker 1: based around food. And it's a very interesting image because

912
00:52:12,400 --> 00:52:15,120
Speaker 1: it just shows like in each state what the most

913
00:52:15,320 --> 00:52:19,640
Speaker 1: hated food is. Now, this in no way is real

914
00:52:19,920 --> 00:52:23,800
Speaker 1: scientific data, because it's a dating app that matches people

915
00:52:23,920 --> 00:52:25,920
Speaker 1: based on what they hate. One of the first things

916
00:52:25,960 --> 00:52:28,719
Speaker 1: you notice is each state has a different food that

917
00:52:28,880 --> 00:52:31,520
Speaker 1: they most hate, which is the sign that this was

918
00:52:31,760 --> 00:52:34,840
Speaker 1: edited for to be like good content and not like

919
00:52:35,320 --> 00:52:37,719
Speaker 1: to just have a bunch of interesting information rather than

920
00:52:38,160 --> 00:52:41,319
Speaker 1: actually like being a scientifically based thing, Like no, two

921
00:52:41,400 --> 00:52:43,759
Speaker 1: states had the same food that they hate the most.

922
00:52:44,239 --> 00:52:47,600
Speaker 1: Love content. But yeah, so, I mean they're just laying

923
00:52:47,640 --> 00:52:50,040
Speaker 1: in some sick tent here, sick tent and it's a

924
00:52:50,120 --> 00:52:54,480
Speaker 1: good way to get people to try and get download there.

925
00:52:54,560 --> 00:52:57,680
Speaker 1: So like overtly negative cynical app. It's like, what do

926
00:52:57,719 --> 00:53:00,640
Speaker 1: you fucking hate? We'll find somebody for you. But yeah,

927
00:53:00,760 --> 00:53:02,560
Speaker 1: it reads like a thing where I don't know if

928
00:53:02,640 --> 00:53:05,160
Speaker 1: this You know, you look at each state. Some states

929
00:53:05,200 --> 00:53:09,000
Speaker 1: make sense, right Texas As they say steak cooked well done. Okay,

930
00:53:09,280 --> 00:53:11,440
Speaker 1: I can see how that makes sense. But they voted

931
00:53:11,480 --> 00:53:13,600
Speaker 1: for Trump, So how do you explain that? Well, how

932
00:53:13,640 --> 00:53:16,719
Speaker 1: about this New York They hate ranch on pizza, So

933
00:53:16,960 --> 00:53:19,719
Speaker 1: I get that too. I can see how as a

934
00:53:19,800 --> 00:53:22,040
Speaker 1: New Yorker you look at that kind of like, oh,

935
00:53:22,080 --> 00:53:25,759
Speaker 1: that's fucking nonsense, right, But again, you don't know where

936
00:53:25,840 --> 00:53:27,759
Speaker 1: these people are using this app, so I would just

937
00:53:27,880 --> 00:53:30,320
Speaker 1: reckon that it is like whatever the most like the

938
00:53:30,440 --> 00:53:33,400
Speaker 1: two most populated cities are actually determining what each state

939
00:53:33,920 --> 00:53:40,160
Speaker 1: actually hates. Because California's chick fil A. That doesn't man,

940
00:53:40,280 --> 00:53:42,000
Speaker 1: I I drive by Chick fil A, I go to

941
00:53:42,120 --> 00:53:44,400
Speaker 1: Chick fil A. You know, I see people there. They

942
00:53:44,480 --> 00:53:46,479
Speaker 1: got past it. I don't know what's going on. But again,

943
00:53:46,520 --> 00:53:47,960
Speaker 1: I feel like if you're on an app and you're

944
00:53:48,000 --> 00:53:49,719
Speaker 1: trying to find a mate, you would say I hate

945
00:53:49,800 --> 00:53:51,799
Speaker 1: Chick fil A, because that will probably mean someone who

946
00:53:51,920 --> 00:53:55,080
Speaker 1: does not appreciate homophobia, you know what I mean. And

947
00:53:55,160 --> 00:53:57,680
Speaker 1: then that way, you know, if you put that ship there,

948
00:53:57,760 --> 00:54:00,640
Speaker 1: you're not gonna get some weird yeah which and or

949
00:54:00,760 --> 00:54:03,080
Speaker 1: you're just a dude who's like, hey, this will make

950
00:54:03,120 --> 00:54:05,759
Speaker 1: me seem more like woke or whatever. So you never

951
00:54:05,840 --> 00:54:10,640
Speaker 1: know someone's mot literal virtue signaling Massachusetts, my home state

952
00:54:10,760 --> 00:54:14,440
Speaker 1: is mayonnaise on fries. That's a as a. As a

953
00:54:14,600 --> 00:54:19,160
Speaker 1: chup head myself, I strongly disagree. I don't know that.

954
00:54:20,200 --> 00:54:24,120
Speaker 1: Sure yeah, sure yeah, starting a new podcast Chupo trap

955
00:54:24,160 --> 00:54:27,960
Speaker 1: House later. But yeah, like what I don't understand is

956
00:54:28,040 --> 00:54:31,800
Speaker 1: North Dakota was tap Us, Like, so you hate everything

957
00:54:31,840 --> 00:54:34,120
Speaker 1: about tap Us or did. There was there one tapas

958
00:54:34,200 --> 00:54:38,080
Speaker 1: restaurant that opened up, and you're like, man, fuck, I

959
00:54:38,200 --> 00:54:40,520
Speaker 1: have my most baffling one that I'll get to. But

960
00:54:40,800 --> 00:54:43,560
Speaker 1: there is another trend that you see that is basically

961
00:54:43,680 --> 00:54:46,239
Speaker 1: the reverse of virtue signaling, where it's like, we don't

962
00:54:46,280 --> 00:54:49,680
Speaker 1: give a funk about you East Coasters like West virgin

963
00:54:49,800 --> 00:54:55,160
Speaker 1: Is tofu uh Kentucky is hummus because you know which

964
00:54:55,200 --> 00:55:02,520
Speaker 1: one's Lacroix. I don't know what. Yeah, Colorado they hate

965
00:55:02,520 --> 00:55:05,040
Speaker 1: flaming hot cheetohs. I don't know, man, how the weed

966
00:55:05,080 --> 00:55:07,960
Speaker 1: you smoke up there? Oklahoma? Not liking veggie burgers? I

967
00:55:08,040 --> 00:55:10,320
Speaker 1: get that, you know, right, that's what you would expect.

968
00:55:10,400 --> 00:55:13,000
Speaker 1: There's one that's okay, there are a few. I'm interested

969
00:55:13,040 --> 00:55:15,680
Speaker 1: in with Jack's Bath when is a few were throwing

970
00:55:15,719 --> 00:55:17,960
Speaker 1: me here? Okay, what do you got? What's what's really

971
00:55:18,040 --> 00:55:22,160
Speaker 1: throwing you? Was? I don't understand foraged food. So the

972
00:55:22,440 --> 00:55:26,480
Speaker 1: Tennessee and foraged food is like a hippie dippy like trend.

973
00:55:26,640 --> 00:55:30,600
Speaker 1: So they're like, fuck you, lefty. Foraged food. That's another

974
00:55:31,480 --> 00:55:34,600
Speaker 1: we pay for our food in Tennessee. That's another fish.

975
00:55:35,040 --> 00:55:37,760
Speaker 1: And it's just you know, it's like basically going around

976
00:55:38,160 --> 00:55:41,239
Speaker 1: gathering your wild food up and they're like, okay, Keen

977
00:55:41,560 --> 00:55:45,000
Speaker 1: was one like that where they're like, so right. Also

978
00:55:45,160 --> 00:55:48,840
Speaker 1: Arkansas Cilantro Yeah, I mean if that's just like I

979
00:55:49,239 --> 00:55:52,160
Speaker 1: like the Alabama it was just straight up Chipotle. Yeah,

980
00:55:52,360 --> 00:55:56,360
Speaker 1: like there loud and clear, my man, you do not

981
00:55:56,600 --> 00:56:01,960
Speaker 1: funk with Chipotle. Florida liquorice is bumping met what is that? Okay?

982
00:56:02,000 --> 00:56:05,520
Speaker 1: So this is this is the third category that we

983
00:56:05,640 --> 00:56:08,600
Speaker 1: were talking about earlier, which is there's like some self

984
00:56:08,719 --> 00:56:14,320
Speaker 1: hatred slash self deception where it's like licorice is they're like,

985
00:56:14,480 --> 00:56:17,799
Speaker 1: we're not all old, we hate licorice. It's like where

986
00:56:17,840 --> 00:56:21,279
Speaker 1: there's originals and licorice are the things they hate. And

987
00:56:21,560 --> 00:56:24,600
Speaker 1: another state that you see that trend is in New

988
00:56:24,680 --> 00:56:28,200
Speaker 1: Jersey where their most hated food is gas station wine.

989
00:56:28,600 --> 00:56:31,759
Speaker 1: It's like specific because you don't want to be seen

990
00:56:31,800 --> 00:56:35,200
Speaker 1: as a bridge and tunnel person. Corner piece of a brownie?

991
00:56:35,880 --> 00:56:38,680
Speaker 1: Is that That one is very confusing to me? Or

992
00:56:38,760 --> 00:56:42,239
Speaker 1: what Missouri's is the last bite of a hot dog? Yeah?

993
00:56:42,360 --> 00:56:46,320
Speaker 1: That one? Do people just like rap do you just

994
00:56:46,480 --> 00:56:49,200
Speaker 1: be like, fuck, this is the thing I hate about you?

995
00:56:49,320 --> 00:56:52,200
Speaker 1: The hot dog man that last bite. Yeah they are.

996
00:56:52,239 --> 00:56:54,239
Speaker 1: They just saying I love hot dogs so much. I

997
00:56:54,320 --> 00:57:00,360
Speaker 1: hate when they end ought. I just love it's just

998
00:57:00,560 --> 00:57:05,960
Speaker 1: so tortured, Like I'm so sorry. Do you guys not

999
00:57:06,239 --> 00:57:08,480
Speaker 1: like the last bite of a banana? Do you have anything?

1000
00:57:08,520 --> 00:57:12,239
Speaker 1: I don't even eat banana? You don't even they're not. Yeah,

1001
00:57:12,320 --> 00:57:16,960
Speaker 1: I don't love it. It's not my favorite bite. It

1002
00:57:17,040 --> 00:57:19,440
Speaker 1: does bother me a little bit. And one time I

1003
00:57:19,600 --> 00:57:21,480
Speaker 1: was in a forum and like there was a big

1004
00:57:21,560 --> 00:57:23,560
Speaker 1: threat of people being like I hate it too, Like

1005
00:57:23,680 --> 00:57:27,400
Speaker 1: we all just discovered we didn't like it's because it's

1006
00:57:27,480 --> 00:57:30,760
Speaker 1: like everything meets there and it like becomes this like

1007
00:57:31,560 --> 00:57:34,080
Speaker 1: it's not even worse. It tastes exactly like the rest

1008
00:57:34,120 --> 00:57:37,000
Speaker 1: of the banana, but it's just like some weird unconscious

1009
00:57:37,080 --> 00:57:38,560
Speaker 1: thing you know. Actually now that I think about. As

1010
00:57:38,600 --> 00:57:40,520
Speaker 1: a kid, my dad would be like, yo, you better

1011
00:57:40,560 --> 00:57:42,200
Speaker 1: finish that fucking thing because I would get to that

1012
00:57:42,280 --> 00:57:44,880
Speaker 1: part and' like now, yeah, I just wonder if that's

1013
00:57:44,920 --> 00:57:48,280
Speaker 1: the same as too dick shaped foods. I wonder if

1014
00:57:48,360 --> 00:57:51,640
Speaker 1: there's like some unconscious thing about like, oh, well, it's

1015
00:57:51,680 --> 00:57:55,280
Speaker 1: the tip and it's like where it gets all I

1016
00:57:55,320 --> 00:57:57,560
Speaker 1: don't know, mashed together you don't want to eat the

1017
00:57:57,640 --> 00:58:00,440
Speaker 1: whole penis right. Also, I think that's why did they

1018
00:58:00,480 --> 00:58:03,960
Speaker 1: hate Coca Cola and Hawaii because is there something going on?

1019
00:58:04,080 --> 00:58:06,680
Speaker 1: I don't know, did they like did Coca Cola help

1020
00:58:06,720 --> 00:58:09,680
Speaker 1: with the annexation of Hawaii? Or like, is there a

1021
00:58:09,720 --> 00:58:12,960
Speaker 1: political reason why everyone in Alaska hates a specific brand

1022
00:58:13,040 --> 00:58:16,760
Speaker 1: of water. That's a very good question. Water. I just

1023
00:58:16,800 --> 00:58:21,080
Speaker 1: said water like I'm from Baltimore Water. I mean, yeah,

1024
00:58:22,280 --> 00:58:24,760
Speaker 1: some things, it's it's just very interesting to see it. Again,

1025
00:58:25,040 --> 00:58:27,640
Speaker 1: this is not scientific, so I would not trust this.

1026
00:58:27,960 --> 00:58:32,520
Speaker 1: We took a survey of hateful people. I mean, pumpkin spice,

1027
00:58:32,640 --> 00:58:35,320
Speaker 1: anything that there's something that are just trendy. I think

1028
00:58:35,360 --> 00:58:38,120
Speaker 1: that's is that not North Dakota. No top us is

1029
00:58:38,160 --> 00:58:41,320
Speaker 1: North Dakota. Yeah, and then Idaho they hate dim some

1030
00:58:42,400 --> 00:58:47,520
Speaker 1: and and main hate Asian fusion. Come on, I like

1031
00:58:47,760 --> 00:58:51,960
Speaker 1: Maine and I am literally I'm literally Asian fusion. I've

1032
00:58:52,000 --> 00:58:55,560
Speaker 1: been I played hockey there a couple of times for

1033
00:58:55,720 --> 00:58:58,320
Speaker 1: ice related activity. Yeah. Here's the thing. Last time I

1034
00:58:58,400 --> 00:59:02,240
Speaker 1: was there eleven years old. Yeah, when you're eleving years old,

1035
00:59:02,280 --> 00:59:06,080
Speaker 1: the second you who? I mean, there are some wonderful people,

1036
00:59:07,040 --> 00:59:09,840
Speaker 1: but there's also some scary people in Maine. That's what

1037
00:59:09,880 --> 00:59:12,160
Speaker 1: it's intriguing about me, because there is like this sort

1038
00:59:12,200 --> 00:59:15,919
Speaker 1: of wilderness culture out there still where they fucking main.

1039
00:59:16,160 --> 00:59:17,959
Speaker 1: I spent a lot of time in growing up because

1040
00:59:18,000 --> 00:59:21,680
Speaker 1: my grandma lived there, and she the like neighborhood she

1041
00:59:21,760 --> 00:59:24,440
Speaker 1: lived in. It like ran the gamut in terms of

1042
00:59:24,600 --> 00:59:28,800
Speaker 1: like political opinions and like it's just it's a people

1043
00:59:28,920 --> 00:59:32,480
Speaker 1: were live wires in me and there's a lot of

1044
00:59:32,520 --> 00:59:36,680
Speaker 1: space to yell, a lot of beautiful nature up there,

1045
00:59:37,680 --> 00:59:42,480
Speaker 1: love yelling, love yelling. Stephen King didn't come from nowhere,

1046
00:59:42,600 --> 00:59:46,400
Speaker 1: Steve Stephen King lived in the same town. Yeah. Also,

1047
00:59:46,480 --> 00:59:50,240
Speaker 1: what's going on with Nebraska not liking chili peppers? Yeah,

1048
00:59:50,440 --> 00:59:52,320
Speaker 1: I feel like that might be. I feel like that

1049
00:59:52,440 --> 00:59:54,800
Speaker 1: might be one of those because it's like too much

1050
00:59:54,880 --> 00:59:59,240
Speaker 1: where it's like, Oh, from Colorado, who's who hates flaming hot?

1051
01:00:00,120 --> 01:00:06,280
Speaker 1: Why speak speak up? It's very white white state. I

1052
01:00:06,360 --> 01:00:10,800
Speaker 1: feel like you would think that flaming hats everyone loves

1053
01:00:10,840 --> 01:00:14,080
Speaker 1: flame it hat a place where weed is legal, you would,

1054
01:00:14,240 --> 01:00:17,320
Speaker 1: I feel like Colorado there would be an unusual like

1055
01:00:17,400 --> 01:00:20,200
Speaker 1: if you were percentage wise breaking down flaming hot induced

1056
01:00:20,280 --> 01:00:22,560
Speaker 1: u t I s state by state, Colorado would be

1057
01:00:22,680 --> 01:00:27,120
Speaker 1: up there, yeah, who knows. And then in Oregon there's

1058
01:00:27,200 --> 01:00:29,840
Speaker 1: was fast food that feels like a Portland vibe. Yeah,

1059
01:00:30,840 --> 01:00:33,880
Speaker 1: because that feels like that would probably be the Biggene. Yeah,

1060
01:00:34,120 --> 01:00:37,120
Speaker 1: they're just like, come on, man, Eugene, keep your fast foods.

1061
01:00:38,360 --> 01:00:41,120
Speaker 1: Like just let your neighbor baby burden into your mouth.

1062
01:00:41,320 --> 01:00:45,280
Speaker 1: It's just as good. And then New Mexico it hates

1063
01:00:45,360 --> 01:00:48,840
Speaker 1: chicken nuggets, got it. That's a very odd thing. It Like,

1064
01:00:49,280 --> 01:00:51,400
Speaker 1: I can I get if you hate keen wa or something,

1065
01:00:52,000 --> 01:00:56,200
Speaker 1: or some people don't like biting string cheese. Very offended.

1066
01:00:56,280 --> 01:01:00,760
Speaker 1: But that was Illinois action, not a that's confusing to Yeah,

1067
01:01:00,840 --> 01:01:02,680
Speaker 1: but I like that as a pet peeve though, because

1068
01:01:02,720 --> 01:01:05,440
Speaker 1: I I know I get the first time I remember

1069
01:01:05,440 --> 01:01:10,000
Speaker 1: seeing as a kid, some fucking psycho caveman kid, I

1070
01:01:10,040 --> 01:01:12,520
Speaker 1: want to go to bite a fucking cheatless string cheese.

1071
01:01:13,720 --> 01:01:16,040
Speaker 1: Are you doing? You do it? You thread it down

1072
01:01:16,120 --> 01:01:21,000
Speaker 1: to you're holding fucking spiderwell, so much wasted flavor? Yeah. Um.

1073
01:01:21,240 --> 01:01:24,280
Speaker 1: The one that I'm most confused by is Minnesota beans.

1074
01:01:25,240 --> 01:01:31,040
Speaker 1: M M. I just don't beans. They're showing string beans.

1075
01:01:31,080 --> 01:01:33,240
Speaker 1: It looks like so is it because it cast roles.

1076
01:01:33,400 --> 01:01:35,920
Speaker 1: I don't know, you'd think Minnesota would be way into

1077
01:01:36,040 --> 01:01:40,040
Speaker 1: cast roles. Also, yeah, trying to yeah, like disperse. There's

1078
01:01:40,560 --> 01:01:44,680
Speaker 1: New Hampshire hates expensive cocktails. Yeah yeah, and for the

1079
01:01:44,720 --> 01:01:47,160
Speaker 1: spray cheese there, like we take our sharpshedar very serious.

1080
01:01:47,200 --> 01:01:50,040
Speaker 1: Most of it just seems to be rural virtue signaling

1081
01:01:50,080 --> 01:01:54,520
Speaker 1: where they're like I don't fumba. Then California's virtue signaling

1082
01:01:54,560 --> 01:02:00,960
Speaker 1: to like no way not here. Bro Also Pennsylvania, Utah,

1083
01:02:02,040 --> 01:02:05,320
Speaker 1: what is wrong with balsamic vinegar? That is also oddly specific,

1084
01:02:05,760 --> 01:02:10,320
Speaker 1: like I hate balsamic vinegar. Balsamic vinegar is like considered

1085
01:02:10,440 --> 01:02:14,040
Speaker 1: crack in Utah. That's too much. They don't sell it

1086
01:02:14,120 --> 01:02:18,200
Speaker 1: on Sundays. Ye, mainline, We're not monsters if we don't

1087
01:02:18,200 --> 01:02:30,040
Speaker 1: do balsam mainlining balsamic vinegar right now. Um, Jamie, it's

1088
01:02:30,080 --> 01:02:33,920
Speaker 1: been wonderful having you as always. Oh, thank you always

1089
01:02:34,960 --> 01:02:39,320
Speaker 1: always always. Where can people find you? Can find me

1090
01:02:39,480 --> 01:02:43,080
Speaker 1: on Twitter at Jamie Loft, his help Instagram Jamie christ

1091
01:02:43,120 --> 01:02:46,600
Speaker 1: Superstar very brave for not having a cohesive social media present.

1092
01:02:47,760 --> 01:02:50,680
Speaker 1: Also would recommend if it's in your town, see the

1093
01:02:50,760 --> 01:02:54,480
Speaker 1: movie All About Nina. It's a movie about a female

1094
01:02:54,520 --> 01:02:58,640
Speaker 1: stand up stars Mary Elizabeth Winstead. Uh, and I worked

1095
01:02:58,680 --> 01:03:01,240
Speaker 1: on it and it's good, all right? And is there

1096
01:03:01,240 --> 01:03:12,960
Speaker 1: a tweet you've been enjoying? Oh shit? Probably? Fuck? Okay, wait,

1097
01:03:13,280 --> 01:03:15,960
Speaker 1: come back to me, all right. I will take this

1098
01:03:16,400 --> 01:03:21,280
Speaker 1: moment to acknowledge. Parker Malloy tweeted that Trump's parents look

1099
01:03:21,320 --> 01:03:24,959
Speaker 1: like their secondary characters from a Tim Burton movie. Shout

1100
01:03:25,000 --> 01:03:28,080
Speaker 1: out to her because I said that, like, it was

1101
01:03:28,160 --> 01:03:30,240
Speaker 1: my own joke and it was not miles Where can

1102
01:03:30,320 --> 01:03:35,680
Speaker 1: people find you? Follow you? Um? God, do you even

1103
01:03:35,720 --> 01:03:38,440
Speaker 1: want to at this point? But if you do, go

1104
01:03:38,640 --> 01:03:42,880
Speaker 1: to Twitter and Instagram at miles of gray and is

1105
01:03:42,920 --> 01:03:47,040
Speaker 1: there a tweet you've been enjoying? This question is not

1106
01:03:47,160 --> 01:03:52,040
Speaker 1: going well. I did that to buy time to find one.

1107
01:03:52,320 --> 01:03:55,800
Speaker 1: Oh okay. This is from The Onion and it's a

1108
01:03:55,840 --> 01:03:58,680
Speaker 1: photo of Brett Kavanaugh and like a guy who looks

1109
01:03:58,680 --> 01:04:01,200
Speaker 1: like a Vice correspond and who was smoking a cigarette

1110
01:04:01,240 --> 01:04:04,560
Speaker 1: and it says newly sober Kavanaugh introduced his sponsor who

1111
01:04:04,600 --> 01:04:07,320
Speaker 1: says he needs Supreme Court seat as part of hercover.

1112
01:04:09,760 --> 01:04:11,760
Speaker 1: That's awesome. Oh here's a fun one that it just

1113
01:04:11,880 --> 01:04:14,920
Speaker 1: made me laugh. This from Julia Claire at o Julia tweets,

1114
01:04:15,280 --> 01:04:23,000
Speaker 1: uh raisins are honestly so embarrassing. That embarrassing. I was like,

1115
01:04:23,080 --> 01:04:25,040
Speaker 1: I would love to hear your forty five minute ted

1116
01:04:25,120 --> 01:04:29,080
Speaker 1: talk on this so embarrassing. Well, like, do you think

1117
01:04:29,160 --> 01:04:31,800
Speaker 1: she she looks at her raising coat. Oh my, I

1118
01:04:31,880 --> 01:04:35,160
Speaker 1: am the secondary cringe. She's been my best friend for years.

1119
01:04:35,200 --> 01:04:37,800
Speaker 1: I have no idea what she's talking about. There, I

1120
01:04:37,920 --> 01:04:41,480
Speaker 1: love it out. Yeah. You can follow me on Twitter

1121
01:04:41,520 --> 01:04:47,080
Speaker 1: at Jack O'Brian goth Turtle twote. Oh that's your girl?

1122
01:04:47,600 --> 01:04:50,600
Speaker 1: Then why is she asking for my social Security number

1123
01:04:50,640 --> 01:04:54,880
Speaker 1: and mother's maiden name? Um? And you can follow us

1124
01:04:55,000 --> 01:04:57,120
Speaker 1: at Daily's Eye Guist on Twitter, where at the Daily's

1125
01:04:57,120 --> 01:04:59,840
Speaker 1: Eye Guist on Instagram. We have a Facebook fan page

1126
01:04:59,880 --> 01:05:02,200
Speaker 1: and website dailys that Guys dot com worried post our

1127
01:05:02,240 --> 01:05:05,680
Speaker 1: episode and our foote. We link off to the information

1128
01:05:05,760 --> 01:05:07,600
Speaker 1: that we talked about in today's episode as well as

1129
01:05:07,600 --> 01:05:10,640
Speaker 1: the song we write out on. We also link off

1130
01:05:10,680 --> 01:05:14,880
Speaker 1: to that information in the show notes, Miles, what is

1131
01:05:15,360 --> 01:05:17,280
Speaker 1: the song we will be writing out? You know, I

1132
01:05:17,320 --> 01:05:21,040
Speaker 1: think we've seen some smooth vibrations and nothing feels smoother

1133
01:05:21,440 --> 01:05:24,680
Speaker 1: than like kind of surf rock club with Resilient five.

1134
01:05:25,080 --> 01:05:28,000
Speaker 1: And this is a track from Sue George and the

1135
01:05:28,080 --> 01:05:30,800
Speaker 1: band Almas together they had a album come out Music

1136
01:05:30,880 --> 01:05:33,680
Speaker 1: and I was wonderful. But this is a track called

1137
01:05:33,960 --> 01:05:37,120
Speaker 1: Ceiland and uh it's just got you know, it got

1138
01:05:37,200 --> 01:05:40,800
Speaker 1: a good vibration. You know somebody who's asking for more

1139
01:05:40,840 --> 01:05:45,280
Speaker 1: tracks for all my brasildos and brasiladas out there, So yes, enjoy.

1140
01:05:45,800 --> 01:05:47,800
Speaker 1: All right, we're gonna write out on that. We will

1141
01:05:47,840 --> 01:05:51,000
Speaker 1: be back tomorrow because this is a daily podcast. We'll

1142
01:05:51,040 --> 01:06:19,000
Speaker 1: talk to you guys. See it and die see it

1143
01:06:19,240 --> 01:06:23,959
Speaker 1: and die see it and die not by I would

1144
01:06:24,000 --> 01:06:30,000
Speaker 1: want to plum see it and die see it and

1145
01:06:30,280 --> 01:06:35,120
Speaker 1: die see it and die. I apply. I would want

1146
01:06:35,240 --> 01:06:46,320
Speaker 1: plum best card bag, white pitch, got young Godda Lisa,

1147
01:06:47,960 --> 01:06:56,960
Speaker 1: best back age you white pisca jung godidont brov Lisa

1148
01:06:58,600 --> 01:07:04,320
Speaker 1: see it and die see it and die see it.

1149
01:07:04,560 --> 01:07:12,240
Speaker 1: Don't die see it and die seed and die see

1150
01:07:12,240 --> 01:07:18,000
Speaker 1: it and die see it and die see it. And

1151
01:07:20,400 --> 01:07:26,760
Speaker 1: now bait on the fire spread my day's monthly side.

1152
01:07:28,120 --> 01:07:35,160
Speaker 1: While it's on the side, I see thee I see

1153
01:07:35,200 --> 01:07:40,479
Speaker 1: it and die. I see it and die. I see

1154
01:07:40,520 --> 01:08:07,880
Speaker 1: it and die see it and die see it, don't die,

1155
01:08:09,320 --> 01:08:13,200
Speaker 1: see it, don't die. Not BYO Your the Blue Month,

1156
01:08:14,680 --> 01:08:20,400
Speaker 1: best that I hit you, et by this style junk

1157
01:08:20,640 --> 01:08:28,639
Speaker 1: Goda be Lisen got that I hit you. Even by

1158
01:08:28,840 --> 01:08:37,200
Speaker 1: best junk needs a blong blind de lition. See and die,

1159
01:08:37,600 --> 01:08:46,920
Speaker 1: b see and I see it. I'm die see see