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Speaker 1: Hello the Internet, and welcome to season one fifty eight,

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Speaker 1: Episode one of to Day Like Yes, a production of

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

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Speaker 1: a deep dive into America's share consciousness. It's Monday, November two.

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Speaker 1: I can't believe it. It's election days, it's election week,

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Speaker 1: It's election month. I guess we should say, because who's

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Speaker 1: the most my birthday month? How long this is gonna take? Uh?

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Speaker 1: My name is Jack O'Brien, a K. Dewey lewis a

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Speaker 1: K doing on aka bro? Have you code read the latest?

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Speaker 1: Do drop? Those are courtesy of Station Agent and Christie

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Speaker 1: Amabucci Slain and I'm thrilled to be joined as always

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Speaker 1: by my co host Mr Miles post a blazing that

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Speaker 1: smoking weed and it is always high m I L

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Speaker 1: E s O f g r A y miles of gray.

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Speaker 1: He is hi. I'm just adding all this other stuff.

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Speaker 1: Thank you to very bad Santa on the discord for that,

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Speaker 1: as you put low effort a K. I you know

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Speaker 1: I added up a front part. I'm glad you only

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Speaker 1: came up with the m I L E. S O

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Speaker 1: f g R A white part. But I had to

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Speaker 1: give the start off, so shout out to you very

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Speaker 1: bad Santa. You are, in fact a very bad Santa Miles.

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Speaker 1: It's election time, Election day tomorrow or the kickoff of

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Speaker 1: election season of of the end times, uh, the last

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Speaker 1: This is the last day of what we will soon

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Speaker 1: be referring to as the before times possibly uh man,

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Speaker 1: but we had before times of the pant wow. But yeah,

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Speaker 1: the optimistic there's levels to this ship. Um. Anyways, it's

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Speaker 1: election time, so we're getting right into the format telling

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Speaker 1: the people what we're talking about today. Obviously, we're gonna

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Speaker 1: talk a little bit about the election, just a little bit,

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Speaker 1: just a little bit um talking about Pennsylvania, what a

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Speaker 1: ship show that is. Despite the fact that, uh it's

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Speaker 1: a sixty seven percent swing depending on who wins that state,

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Speaker 1: that one little block of rednecks. Uh, they are going

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Speaker 1: to swing the fate of the entire country by sixte Uh.

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Speaker 1: So we're gonna talk about that. We're gonna talk about

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Speaker 1: the train of celebrity Trump endorsements. We're gonna talk about

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Speaker 1: how Fox News managed to I don't know if they

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Speaker 1: got on methodone or what, but they were able to

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Speaker 1: quit that Hunter Biden's story. All of a sudden, very suspicious. Uh.

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Speaker 1: We're gonna talk about Trump blaming the Supreme Court for

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Speaker 1: Biden's victory already. Uh. And Donald Trump Jr. Is flying,

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Speaker 1: so we'll talk about that checking with him. I don't

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Speaker 1: know if I mean that man is high. Don't high

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Speaker 1: on election forecast, high on that election buzz, you know

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Speaker 1: what I mean. We'll check back him to the world

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Speaker 1: of Kim kardash And uh, and we'll ask our plans

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Speaker 1: actually safe, like the plane corporations are telling us they are,

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Speaker 1: so you know you can trust it. But before any

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Speaker 1: of that, we are thrilled to be joined in our

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Speaker 1: third seat by the hilarious, the brilliant, the talented Karama

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Speaker 1: dunk Wa. Hello, Hi Rama, Karama rhymes with drama. How

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Speaker 1: are you doing. I'm good. I'm nervous for the fate

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Speaker 1: of society as we know it in this nation, but good.

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Speaker 1: Those two completely normal together, if links? Yeah for saying

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Speaker 1: these things, these that sequence of words out loud, surprisingly

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Speaker 1: calm and upbeat. You know, I feel like that's how

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Speaker 1: most American people are. Like everyone's like, I don't know,

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Speaker 1: maybe it's gonna all end. I don't know, like good

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Speaker 1: not a long time. Yeah, seriously, Uh, and I am

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Speaker 1: way up. I feel blessed. No, I feel stressed. My

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Speaker 1: blood pressure is way up. I feel stressed. But yeah,

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Speaker 1: we'll see, we'll see what happens, man Corona. Where are

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Speaker 1: you in the country right now? I am in sunny

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Speaker 1: southern California. I am in the Coachella Valley where it

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Speaker 1: finally stopped being a hundred degrees like two weeks ago.

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Speaker 1: So yeah, that's why I No, I did not grow

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Speaker 1: up in the valley here. I grew up in Los Angeles,

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Speaker 1: mostly partly in Ghana and partly on the East coast

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Speaker 1: in the DC, Maryland, Virginia area. So I've just got

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Speaker 1: like a smattering of locations in my hometown there, Yeah,

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Speaker 1: but mostly smattering, last internationally known and locally respected. I

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Speaker 1: like that, that's right, thank you, all right. I am

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Speaker 1: enjoying the cooler weather that we're dealing with right now.

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Speaker 1: I like having like a blanket that doesn't feel like

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Speaker 1: it's trying to smother me, Like it's like it's working

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Speaker 1: with me, not against me. Now right. It's funny how

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Speaker 1: like we're starting to kind of get into what we

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Speaker 1: call fall. I guess in southern California because you're like well,

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Speaker 1: the high will still be eighty eight, but at night

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Speaker 1: it will get to sixty versus in the day and

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Speaker 1: then seventy eight at night. I'm like, oh wow, Like

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Speaker 1: the night times will feel colder, but the like the

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Speaker 1: temperature swings, I'm kind of it's kind of messing with

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Speaker 1: me when it's like because when you have a string

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Speaker 1: of hot days and then it really cold, when that

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Speaker 1: always affects me. So I'm sensitive, you know, and I'll

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Speaker 1: taking a sensitive We're about to run the clocks by

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Speaker 1: uh push the clocks back an hour. My two year

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Speaker 1: old is like, with the very first raise of light

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Speaker 1: that escape over the horizon, he's up and yelling my

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Speaker 1: name and now like now it's going to be at

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Speaker 1: five in the morning instead of six in the morning.

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Speaker 1: It's amazing. I love that he calls it by your name. Also,

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Speaker 1: he's like, jack wake up exactly. Mr O'Brian, Mr O'Brien,

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Speaker 1: are you in there? Mr O'Brien, was my father? Call

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Speaker 1: me Jackie Jackie boy. All right, well, Krama, we like

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Speaker 1: to ask our guest up top, what is something from

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

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Speaker 1: what you're up to? Okay, I was like super nervous,

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Speaker 1: and then I forgot that I was doing this and

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Speaker 1: I couldn't sleep in the middle of the night. So

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Speaker 1: my search history is all over the place. Um, I

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Speaker 1: only have to tell you one thing that's good. Oh,

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Speaker 1: I googled spit and Eggs, which is an episode of

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Speaker 1: season three of Veronica Mars. And it's just been a

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Speaker 1: lot of rewatching stuff for me recently. And uh, I'm

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Speaker 1: rewatching season four of Veronica Mars. But I was thinking

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Speaker 1: fondly on the halcyon days of season three, which was

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Speaker 1: not a good season, but season four was a hot mess.

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Speaker 1: So I was like, remember spitting eggs. That was a

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Speaker 1: good episode. So that's what happened with spitting eggs. What's

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Speaker 1: the is it is that? I'm guessing that has something

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Speaker 1: to do with the episode. You know what. It's been

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Speaker 1: so long since I've watched season three because I've been

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Speaker 1: rewatching season four because I was like, remember that trash

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Speaker 1: fire from last year. Let me, let me do recent history,

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Speaker 1: then go back. But it was like, Veronica is solving

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Speaker 1: a campus rape mystery and that's where it all comes

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Speaker 1: to a head. Yeah, and she's that first season I

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Speaker 1: remember my uh, my partner, her majesty, she's a big

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Speaker 1: Veronica Mars fan, and she kept talking about yellow Exterras

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Speaker 1: and I'm like, what the fund is a yellow Extera

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Speaker 1: yellow Sarah the logan Eccles drives, Yeah, that's the yellow

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Speaker 1: exter I'm like, I don't know. I have not seen

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Speaker 1: this show, so I don't know why that is significant.

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Speaker 1: And also what is going on. It's like there's a

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Speaker 1: lot of heavy ship in Veronica Mars. I an't a

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Speaker 1: lot of like a lot of stuff about rape and

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Speaker 1: like uh like race stuff and inequality and like corrupt

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Speaker 1: police departments. And it was like a light teen show, right, Yeah,

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Speaker 1: that's Thompson got her start. Actually, Tessa Thompson was a

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Speaker 1: season series regular in season two. Hell yeah that's well,

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Speaker 1: then you can't be mad at that show ever, anybody.

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Speaker 1: M Yeah, Veronica Mark. But that's totally different from what

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Speaker 1: I thought. The vibe of Veronica Mars was, like I thought,

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Speaker 1: I don't know. I thought it was somewhere between like

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Speaker 1: a Nickelodeon type show and like one of those Fox shows,

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Speaker 1: but like more leaning towards uh. I don't know, Like

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Speaker 1: Clarissa explains it all or one of Veronica Mars. Veronica

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Speaker 1: lives in this town called Neptune. It's got a huge

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Speaker 1: gap between the hyper wealthy and the working class. And

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Speaker 1: she is the daughter of a formerly disgraced sheriff. So

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Speaker 1: he was disgraced because he accused the richest man in

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Speaker 1: town of murdering his own daughter, who was Veronica's best friend.

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Speaker 1: So Veronica, in her spare time, works for her father's

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Speaker 1: now detective agency, and she's trying to solve what happened

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Speaker 1: to her best friend, who again was murdered. And so

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Speaker 1: that's that's that's the first season. They opened with that. Yeah,

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Speaker 1: so it's more like a mixture between like those Fox

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Speaker 1: shows and Twin Peaks. Yeah, yeah, Twin Peaks, but like

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Speaker 1: less weird, more high school vibe, less weird, Saved by

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Speaker 1: the Bells Twin Peaks at the same misconception of it.

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Speaker 1: Before I started watching, I was like, so, she's from Mars.

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Speaker 1: Is that the that's like her Majesty was like, what

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Speaker 1: the funk are you talking about? I don't know, Veronica.

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Speaker 1: I don't know. I've only seen bus ads for when

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Speaker 1: I was younger. I never watched the show, so I

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Speaker 1: was just going off of the word Mars. I also

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Speaker 1: had that there was a show called Life on Mars

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Speaker 1: that started right when Veronica Mars was ending, and I

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Speaker 1: got the two of them very confused. And Life on

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Speaker 1: Mars is about a guy who travels back to the

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Speaker 1: seventies after he like gets concussed or something like. There's

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Speaker 1: they're not at all the same. And I also thought

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Speaker 1: it was about nine eleven, so I just didn't know

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Speaker 1: what was going on, and I didn't start watching Veronica Mars.

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Speaker 1: SOI I was in college and I got scared in

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Speaker 1: the middle of the night watching Dexter in an apartment

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Speaker 1: by myself, and I was like, I'll just watch a

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Speaker 1: team show to cool it down, and then it was

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Speaker 1: a teacher about murder. That is a really intriguing premise.

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Speaker 1: Though I want to I want to check that show out.

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Speaker 1: It's all you can watch. Yeah, I'm not gonna lie.

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Speaker 1: I got into it that first season. Personal opinion, Season

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Speaker 1: one is really good, Season two is pretty good. Season

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Speaker 1: three not the best. Suffers from this thing where there

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Speaker 1: are two season long mysteries in the season. So they

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Speaker 1: solved one halfway through episode nine, spitting Eggs, and then

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Speaker 1: they have a second mystery, which I think was not

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Speaker 1: wise on their part. And yeah, too many mysteries, too

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Speaker 1: many like series long mysteries, so like they needed to

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Speaker 1: just stick to the mysteries of the week. But I

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Speaker 1: get why I didn't want to like twenty episode rape arc,

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Speaker 1: like that's a lot of sexual assault. But season four

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Speaker 1: is okay until the end, and then the last ten

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Speaker 1: minutes of season four just completely ruined the whole series

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Speaker 1: for me. And I'm trying to like salvage something in it,

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Speaker 1: which is why I was rewatching season four, and I'm

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Speaker 1: just like, no, I'm just mad at the end. I'm

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Speaker 1: mad at it. Mm hmm. And the star is Kristen Bell, right, yes, yes,

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Speaker 1: that's just I also like, don't associate her with like

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Speaker 1: pathos in any way, Like yeah, but limited aagination. It's

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Speaker 1: like noir, So she's like a noir detective, like the

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Speaker 1: Maltese Falcon type deal. But she's a Southern Californian team

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Speaker 1: Hell yeah. I think we are doing a huge service

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Speaker 1: to our listeners by spending the first ten minutes of

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Speaker 1: this podcast talking about Veronica Mars so they can forget

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Speaker 1: for a moment that they are twenty four hours out

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Speaker 1: from the election. I forgot and now and now we're back. Karama,

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Speaker 1: What is something you think is underrated? Something I think

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Speaker 1: is underrated? I'm probably going to say babies. I know

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Speaker 1: a lot of people like babies, but I don't think

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Speaker 1: they like babies for the right reasons. And I don't

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Speaker 1: think they respect babies. I think they enjoy babies aesthetically

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Speaker 1: and they're like, oh, look at their little clothes. But

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Speaker 1: if you really think about it, being a baby every

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Speaker 1: day is kind of like your first day at a

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Speaker 1: new job, where you don't know what's going on and

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Speaker 1: there are no actual tasks for you to do and

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Speaker 1: you're just kind of like figuring out what's happening. But

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Speaker 1: it's that for like three to five years, depending on

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Speaker 1: how smart the baby is. And I have a lot

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Speaker 1: of respect for them for kind of saying in that

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Speaker 1: gray area and rolling with it, because I can't do

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Speaker 1: that for a whole week, let alone five years. Oh man,

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Speaker 1: I think it's that. Plus they're on mushrooms the whole

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Speaker 1: time because they haven't like had the doors of perception

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Speaker 1: like close in around like, uh, you know, their brain,

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Speaker 1: So do you have one? So you know, I got

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Speaker 1: a couple. Yeah, they're tripping literally just like looking at

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Speaker 1: their hands, like, yeah, seeing trails, Jack, Yeah, Joe Briant,

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Speaker 1: I'm seeing trails. So it's just pure joy a lot

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Speaker 1: of the time, but it's a it is a mystery. Yeah,

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Speaker 1: I couldn't handle that. A lot of pure joy and discovery. Yeah.

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Speaker 1: I think babies are vastly underrated. Yeah, what is something

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Speaker 1: you think is overrated? I'm gonna stick with the kid theme,

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Speaker 1: and I think overrated is asking kids they want to

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Speaker 1: be when they grow up. I think it's a lazy question.

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Speaker 1: I think that No, I think it's lazy, and I

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Speaker 1: think that most kids, if they know what they want

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Speaker 1: to be when they grow up, they'll walk up to you.

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Speaker 1: They're like, Hi, my name is Susie. I want to

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Speaker 1: be a paleontologist. You don't want to ask them. They'll

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Speaker 1: tell you. And sometimes you don't want to know the answer.

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Speaker 1: You don't want to know what that kid wants to

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Speaker 1: be when they grow up. Because when I was like five,

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Speaker 1: if you had ask me what I wanted to be

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Speaker 1: when I grew up, I would have said a stripper

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Speaker 1: and you would have been confused and not known where

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Speaker 1: to go. But the fact of the matter is I

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Speaker 1: was being very pragmatic because I was like, strippers take

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Speaker 1: their clothes off, and I take my clothes off every

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Speaker 1: day anyway, So I did not understand that is my

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Speaker 1: four year old's greatest skill is I will like turn

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Speaker 1: around and like for two seconds and he'll be completely naked.

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Speaker 1: Like it's literally like he can take his clothes off

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Speaker 1: faster than anybody and he knows that it gets a

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Speaker 1: response that I'm like, whoa what? So he keeps doing

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Speaker 1: it no matter what yet, But I think we're aheaded

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Speaker 1: that's I mean, now, it's a great time to have

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Speaker 1: a kid that likes to take clothes off because you're

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Speaker 1: not going in public kind of it's fun. But I

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Speaker 1: want to say I respect strippers. I do not have

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Speaker 1: the core strength or the strength of spirit to be

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Speaker 1: a stripper, which is why that dream has now been dashed.

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Speaker 1: But I did not know that at five. What were

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Speaker 1: the other jobs you wanted? Like early on, before you

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Speaker 1: had any sense, you're asking the question. I wanted to

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Speaker 1: be a Power Ranger. I wanted to be Power Ranger. Yeah,

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Speaker 1: I like real life name. Yeah. I don't think I

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Speaker 1: knew that off the dome. So the Blue Ranger Billy.

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Speaker 1: He works in production, like in physical production as a

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Speaker 1: production manager David Yost, which is like really funny, yeah,

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Speaker 1: because you're like, yo, that's the fucking Blue Ranger. They're like, no,

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Speaker 1: that's a production manager on the show. I'm like, okay,

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Speaker 1: but I'm pretty sure. Okay, let me just look at

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Speaker 1: the call sheet. Pretty sure if a giant monster, uh

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Speaker 1: yeah in here he's going to activate. Okay, Yeah, that

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Speaker 1: who's the naive one? Now? Uh? Four year old will

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Speaker 1: want to be a train I think if you asked, great,

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Speaker 1: I mean one of the presidential candidates really likes trains,

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Speaker 1: so you know, yeah, I was going to get in

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Speaker 1: the mid object the other one like trucks, right, yeah,

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Speaker 1: I mean I wanted to be I think the first

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Speaker 1: thing I oh, you know what I saw. I saw

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Speaker 1: the movie seven, and I wanted to be a forensic pathologist.

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Speaker 1: Unless she came out. I was like what I was

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Speaker 1: like twelve or thirteen that that was the last time

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Speaker 1: I was like, yo, I'm gonna be this thing. Before that,

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Speaker 1: I wanted to be a cop because of the movie Speed.

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Speaker 1: That copaganda got me Yeah, um yeah, because I was like, dude,

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Speaker 1: all that gear they were and plus they're not dealing

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Speaker 1: with like real it, Like they're just going after like

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Speaker 1: Dennis Hopper with the blown off hand, you know what

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Speaker 1: I mean, Like it's abstraction. But yeah, that and then

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Speaker 1: a forensic pathologists, and then I think just like a

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Speaker 1: professional gamer, like was the thing I also thought, like

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Speaker 1: in high school, like before it was professional, like there

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Speaker 1: was anything like that was like, dude would be sick

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Speaker 1: if like I could just get paid to play fucking

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Speaker 1: blah blah blah all the time. Yeah. Then I went

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Speaker 1: to college and figured that's not really a thing, but

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Speaker 1: you know, we all tried. Yeah, alright, let's talk real

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Speaker 1: quick about some of the celebrity endorsements that are coming out.

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Speaker 1: We'll go from least surprising the most surprising. Brett Farve

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Speaker 1: has endorsed Donald Trumped. What did what did he say?

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Speaker 1: Did he have like a cool reasoning that was because

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Speaker 1: everyone's had to be this thing where they're like, I

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Speaker 1: know what you're thinking, I'm racist. But here's the thing

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Speaker 1: like where it's like, yes, I acknowledge this guy Trump

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Speaker 1: is whack as fuck, but it is like the construction

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Speaker 1: of most of their endorsements, but is he just my

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Speaker 1: vote is for what makes this country great freedom of

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Speaker 1: speech and religion, Second Amendment, hard working, tax paying citizens, police,

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Speaker 1: and military. In this election, we have freedom of choice

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Speaker 1: which all should respect. For me and these principles, my

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Speaker 1: vote is for at real Donald Trump's Uh, he's voting

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Speaker 1: for Donald Trump because to protect our freedom of choice

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Speaker 1: and freedom of speech. When he he literally says the

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Speaker 1: press or like the fucking enemy of the state again,

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Speaker 1: that's nice, trying like trying to hide behind all this

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Speaker 1: deracialized shit. Uh, we know what time it is bread Yeah, uh,

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Speaker 1: and freedom of speech, I think in his turn in

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Speaker 1: his thinking is his freedom to send reporters pictures of

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Speaker 1: his dick. Yeah right low way in Yeah, Little Wayne

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Speaker 1: was medium surprising for me. That was surprising. That was depressing. Yeah,

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Speaker 1: what what happened? What? What? What has happened to this man?

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Speaker 1: He had a photo He was like, yeah, I listened

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Speaker 1: to the Platinum Plan and I'm like, I don't know.

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Speaker 1: He was going like the same thing they're all saying

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Speaker 1: is like, you're an influencer and you get your script.

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Speaker 1: It's like, okay, now please post with this hashtag in

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Speaker 1: this language and then you'll get your check. Because it

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Speaker 1: was saying I've looked at the Platinum Plan Donald Trump

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Speaker 1: is really gonna listen to to us, and it's like

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Speaker 1: so fucked up and pathetic and sad, and like you

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Speaker 1: get all these question marks and realizations about what even

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Speaker 1: hip hop is even and you're like, oh my god,

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Speaker 1: was this always the pursuit of just being a powerful

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Speaker 1: white man? Really? Like this was like it's all we're

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Speaker 1: seeing this. I don't know, like it it's it's just

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Speaker 1: it's really disheartening. But at the same time, I think

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Speaker 1: what it should just demonstrate is that people who are wealthy,

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Speaker 1: they will not protect you. They don't have your interests

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Speaker 1: at hearts. So don't ever expect these will come out

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Speaker 1: and say the right thing. Just point yeah, it's definitely

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Speaker 1: more cash money and less young money. Oh I can't.

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Speaker 1: I mean, he's not he's not thinking about the future.

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Speaker 1: He's not thinking about environmentalism, which Donald Trump has said

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Speaker 1: is a Chinese hoax. Like I feel like if China

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Speaker 1: we're trying to hoax us, they would come up with

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Speaker 1: something a little more exciting than maybe you should use

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Speaker 1: less plastic, Like that's not, that's not. I have more

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Speaker 1: faith in the Chinese to be able to come up

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Speaker 1: with something that is theatrical and beautiful and like very

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Speaker 1: well organized, Like that's this is a dumb hoax if

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Speaker 1: it's a hoax, right right, right, yeah, it's I don't know,

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Speaker 1: but I mean we we can't let this cannot be

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Speaker 1: a story that we move past where we're just like, well,

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Speaker 1: remember Brett Farv tweeted them. Anyways, there's the Wrangler at

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Speaker 1: with starring Brett Farv or Lil Wayne, Like they should

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Speaker 1: not be allowed out to like we wouldn't allow somebody

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Speaker 1: who voted for the Nazi Party to show their face

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Speaker 1: in public. Well we did let them work for NASA,

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Speaker 1: so I don't know how to build ship the science man.

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Speaker 1: And even though the show their face in public, they

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Speaker 1: just kind of quietly worked behind the scenes. Were like

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Speaker 1: what his name, John Stephen's American name? From here? Don't

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Speaker 1: mindus voice, he's from here. All these white people who

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Speaker 1: just moved to Argentina. Who is that? Oh that's that's Julio. Okay, alright,

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Speaker 1: he's been here the whole time. Okay, he I don't know,

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Speaker 1: he just looks new something about him. Okay, fine, fine,

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Speaker 1: uh boy, But yeah, I don't know those those I

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Speaker 1: think for a lot of people. It was interesting. So

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Speaker 1: many people are confused. But I think I'm hoping most

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Speaker 1: people will just cut to the point here and realize

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Speaker 1: that these these celebrities are not ship. They are not

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Speaker 1: Most of these people are revealing themselves to be like

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Speaker 1: only to have their self interests, their own interests at

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Speaker 1: heart and whatever the funk that means. And I think

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Speaker 1: when people like but I thought, Weezy, what man he

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Speaker 1: I don't know he Weezy was not gonna save you know,

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Speaker 1: these people aren't gonna save you, Like where you have

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Speaker 1: to realize we have to actually begin to count on

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Speaker 1: each other and you know, have our each other's backs

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Speaker 1: as much as possible, rather than thinking these people who

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Speaker 1: are you know, in the socio economic class well beyond

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Speaker 1: our realities are like living the same living on the

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Speaker 1: same planet, because we're seeing it time and again, like

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Speaker 1: ego plus unlimited money will put you in a whole

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Speaker 1: other fucking world that most people know nothing about. Like

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Speaker 1: most people are checked every day by the limits of

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Speaker 1: their like their ability of what they can achieve financially,

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Speaker 1: or even like what their own imagination can show you

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Speaker 1: based on your life experience. But then you get some

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Speaker 1: of these people who it's a it's it's it's a

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Speaker 1: sickness that they're all kind of showing. It's really weird.

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Speaker 1: What I was shooked by was the list of celebrities

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Speaker 1: who publicly admitted that they had never voted before. And

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Speaker 1: I think what's wild to me is that they are

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Speaker 1: admitting that they did not vote four years ago and

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Speaker 1: for the last four years. Then I'm being complaining and

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Speaker 1: I'm just like, oh, okay, I see who you are now,

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Speaker 1: Like when someone shows you who they are believed in

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Speaker 1: the first time, I see you, Selina Gomez, I am disappointed. Yeah, alright,

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Speaker 1: as let's take a quick break and we will be

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Speaker 1: right back. And we're back, and we're talking about phone scams.

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Speaker 1: People are hitting Miles Gray up, I don't know, from Pennsylvania.

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Speaker 1: There's a lot of energy running. I'm getting scam calls

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Speaker 1: from Pennsylvania or the thing looks everything looks like it

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Speaker 1: hinges on Pennsylvania and a lot of big Pennsylvania orgy. Yeah,

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00:24:02,119 --> 00:24:05,679
Speaker 1: so let's talk about that. The election is tomorrow. We

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Speaker 1: have to talk this kind of Can we talk about

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Speaker 1: how did you the Mars deal with the fact that

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Speaker 1: everything hinges on this one state. Uh. That So one

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Speaker 1: of the like one thing that I had kind of

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Speaker 1: forgotten is Iowa. The Iowa primary that happened this year.

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Speaker 1: That was like everybody was focused on that. It was

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Speaker 1: highly anticipated, and it was a complete clusterfuck where nobody

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Speaker 1: knew what was happening. People assumed that like shady ship

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Speaker 1: was going on, like all of that happened earlier this year,

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Speaker 1: and I feel like we kind of just forgot about

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Speaker 1: it because it was like right before the pandemic. Um

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Speaker 1: it was was that earlier this year? Was that late?

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Speaker 1: Was it was this year? I think it was like

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Speaker 1: in February. But you know, once again, Iowa was just

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Speaker 1: completely couldn't have been further from the rest of the country.

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Speaker 1: So again our attention that we paid to it was

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Speaker 1: ill spent. And also it was a complete clusterfuck that

422
00:25:18,240 --> 00:25:21,639
Speaker 1: didn't have a satisfying resolution, but we were able to

423
00:25:21,800 --> 00:25:24,760
Speaker 1: move on to the next one. And also like the

424
00:25:24,800 --> 00:25:28,760
Speaker 1: world completely shut down. Uh. And also like Joe Biden

425
00:25:28,800 --> 00:25:31,639
Speaker 1: came in seventh, so it wasn't like a reflection of

426
00:25:31,680 --> 00:25:38,359
Speaker 1: what was happening. Yeah, exactly one person who voted for

427
00:25:38,359 --> 00:25:42,520
Speaker 1: Pete Buddha judge. Yeah, but that that tipped the scale.

428
00:25:42,960 --> 00:25:45,520
Speaker 1: But the question like that I'm now asking is what

429
00:25:45,640 --> 00:25:49,679
Speaker 1: if that happens again in an important state like Pennsylvania,

430
00:25:50,040 --> 00:25:54,320
Speaker 1: where we're dealing with a split Supreme Court telling us

431
00:25:54,359 --> 00:25:57,040
Speaker 1: they can't decide whether to keep counting the ballots that

432
00:25:57,200 --> 00:26:00,879
Speaker 1: arrive after election day and by on the five thirty

433
00:26:00,920 --> 00:26:05,680
Speaker 1: eight model the entire election. Like, if Biden wins Pennsylvania,

434
00:26:05,720 --> 00:26:09,400
Speaker 1: he has a nine percent chance of winning the election. Uh,

435
00:26:09,480 --> 00:26:13,040
Speaker 1: if Trump wins, Biden has a thirty percent chance of

436
00:26:13,080 --> 00:26:15,800
Speaker 1: winning the election. Like that. Well, but I mean, the

437
00:26:15,800 --> 00:26:18,960
Speaker 1: problems with the caucuses were all stemming from the software

438
00:26:18,960 --> 00:26:21,879
Speaker 1: they were using to report the results. But I'm just

439
00:26:21,920 --> 00:26:27,399
Speaker 1: saying it was a complete clusterfuck of a state's election infrastructure.

440
00:26:27,720 --> 00:26:32,280
Speaker 1: And Pennsylvania already seems like it's having issues. It's having

441
00:26:32,320 --> 00:26:36,040
Speaker 1: issues with mail in votes, it's having issues with whether,

442
00:26:36,280 --> 00:26:40,560
Speaker 1: like how many fucking envelopes you need uh to put

443
00:26:40,600 --> 00:26:45,240
Speaker 1: your your vote into? I don't know, yeah, I I

444
00:26:45,240 --> 00:26:47,440
Speaker 1: I don't want to be like fear Mongerer or anything.

445
00:26:47,440 --> 00:26:49,720
Speaker 1: I'm just saying like that, Well, I mean, I think

446
00:26:49,720 --> 00:26:52,800
Speaker 1: you're in the camp that I think probably sixty five

447
00:26:52,880 --> 00:26:55,159
Speaker 1: percent of the country is, which is completely freaked the

448
00:26:55,160 --> 00:26:59,879
Speaker 1: funk out because on one hand, uh, they're the Biden

449
00:27:00,040 --> 00:27:02,440
Speaker 1: could win, and then like it's a slight sigh of relief,

450
00:27:02,480 --> 00:27:04,560
Speaker 1: but then knowing there's still so much more to do

451
00:27:04,680 --> 00:27:07,320
Speaker 1: because it's not just merely Biden being president that's going

452
00:27:07,359 --> 00:27:09,600
Speaker 1: to solve everything that's wrong in this country. But then

453
00:27:09,640 --> 00:27:13,480
Speaker 1: also like that feeling of like, holy sh it, um

454
00:27:13,800 --> 00:27:17,320
Speaker 1: the country like if they're if truly like the numbers

455
00:27:17,359 --> 00:27:21,119
Speaker 1: are you know, legitimate, and we see that Donald Trump

456
00:27:21,200 --> 00:27:23,600
Speaker 1: was winning in these places, then there's like this realization

457
00:27:23,600 --> 00:27:25,240
Speaker 1: of like, oh my god, yeah, like most people in

458
00:27:25,240 --> 00:27:28,600
Speaker 1: this country are completely don't know what is, don't know

459
00:27:28,760 --> 00:27:31,719
Speaker 1: right from wrong um or no, right from wrong, and

460
00:27:31,960 --> 00:27:35,400
Speaker 1: choose our consciously choosing wrong, which is also a very

461
00:27:35,440 --> 00:27:37,919
Speaker 1: fucked up feeling to like have this mirror held up

462
00:27:37,960 --> 00:27:41,760
Speaker 1: to the country again. Uh, I don't know, I'm just like,

463
00:27:42,080 --> 00:27:45,560
Speaker 1: I'm just also just with the with the rampant voter

464
00:27:45,760 --> 00:27:49,360
Speaker 1: suppression that happens. I just don't even know how we're

465
00:27:49,359 --> 00:27:52,439
Speaker 1: ever going to get an accurate picture of what this

466
00:27:52,480 --> 00:27:55,160
Speaker 1: country does, believe, because I mean a lot of people

467
00:27:55,200 --> 00:27:57,879
Speaker 1: talk about voter suppression in terms of racial voter suppression,

468
00:27:58,200 --> 00:28:02,879
Speaker 1: but there's less, Uh, there's us ink given to accessibility,

469
00:28:02,920 --> 00:28:06,720
Speaker 1: like pling place accessibility for and we think about wheelchair ramps,

470
00:28:06,760 --> 00:28:09,280
Speaker 1: but we don't think about people who need large print

471
00:28:09,359 --> 00:28:14,920
Speaker 1: ballots or brail ballots, or people who have other issues

472
00:28:14,960 --> 00:28:17,960
Speaker 1: that prevent them from leaving the house right now because

473
00:28:17,960 --> 00:28:21,760
Speaker 1: they have immuno compromised stuff going on and they can't

474
00:28:21,840 --> 00:28:23,440
Speaker 1: go vote, but they're not able to get their mail

475
00:28:23,480 --> 00:28:25,680
Speaker 1: in ballots. So like that's a whole other level of

476
00:28:25,720 --> 00:28:29,680
Speaker 1: voter suppression. And there's also an intersectionality because a lot

477
00:28:29,920 --> 00:28:34,520
Speaker 1: of people with disabilities are people of color. So it's

478
00:28:34,560 --> 00:28:37,480
Speaker 1: like it's so frustrating because we talk about how this

479
00:28:37,560 --> 00:28:39,120
Speaker 1: is the will of the people, and it's like, until

480
00:28:39,200 --> 00:28:41,000
Speaker 1: we have fair elections, we're never going to know the

481
00:28:41,000 --> 00:28:42,840
Speaker 1: will of the people. And I think that the right

482
00:28:42,920 --> 00:28:45,880
Speaker 1: needs to realize if they want to like have a

483
00:28:46,000 --> 00:28:49,720
Speaker 1: legitimate say and what happens, they need to be fair

484
00:28:49,760 --> 00:28:52,200
Speaker 1: for a second. Because if they really do believe that

485
00:28:52,240 --> 00:28:54,560
Speaker 1: the majority of the people are on their side and

486
00:28:54,600 --> 00:28:56,640
Speaker 1: they're like we want our guns, we want our God,

487
00:28:56,960 --> 00:29:00,320
Speaker 1: we don't want abortions, then they should just let everybody vote.

488
00:29:00,360 --> 00:29:02,200
Speaker 1: But they know that they're not in the right. They're

489
00:29:02,480 --> 00:29:05,040
Speaker 1: the right, but they're not in the right. So it's

490
00:29:05,080 --> 00:29:09,480
Speaker 1: just like it makes me angry. They're actively fighting against it.

491
00:29:09,560 --> 00:29:14,160
Speaker 1: I mean they Yeah, there's an insurgency mentality like inside

492
00:29:14,320 --> 00:29:18,440
Speaker 1: the GOP party that like we have to cheat to win,

493
00:29:18,600 --> 00:29:20,640
Speaker 1: we have to like do bend the rules to win.

494
00:29:21,080 --> 00:29:24,479
Speaker 1: But then I think the like I think that Fox

495
00:29:24,560 --> 00:29:29,000
Speaker 1: News and just the social media self selecting social media

496
00:29:29,040 --> 00:29:33,520
Speaker 1: bubbles that people are in have made it so that

497
00:29:33,600 --> 00:29:37,719
Speaker 1: people like that portion of the country exists in a

498
00:29:37,800 --> 00:29:41,360
Speaker 1: separate reality where they think Trump is going to win

499
00:29:41,400 --> 00:29:45,120
Speaker 1: by a landslide. Like they're going if Trump doesn't win

500
00:29:45,160 --> 00:29:48,480
Speaker 1: by a landslide, which there's like almost no chance he will,

501
00:29:49,200 --> 00:29:51,880
Speaker 1: they are going to think something like that the election

502
00:29:51,960 --> 00:29:56,080
Speaker 1: was stolen from them. Who who's predicting the landslide thing?

503
00:29:56,160 --> 00:29:59,840
Speaker 1: Like I know, Robert Kaheley with Trafalgar you Know Polling

504
00:30:00,200 --> 00:30:02,000
Speaker 1: is one of the posters who sang like there's a

505
00:30:02,000 --> 00:30:05,920
Speaker 1: lot of hidden Trump votes that could tip the election,

506
00:30:06,040 --> 00:30:09,840
Speaker 1: but like, you know, I don't know because he's predicting it.

507
00:30:09,960 --> 00:30:12,720
Speaker 1: Trump is like predicting it at his rallies, and like

508
00:30:12,960 --> 00:30:18,160
Speaker 1: it's like individuals, there are no organizations. He modulates between

509
00:30:18,480 --> 00:30:21,320
Speaker 1: that kind of confidence and then will then be like

510
00:30:22,320 --> 00:30:25,680
Speaker 1: just so freaked out that like suburban women are leaving him,

511
00:30:25,760 --> 00:30:27,680
Speaker 1: and he's like, I'll be really mad if I lose.

512
00:30:27,720 --> 00:30:30,880
Speaker 1: Like it's so that's the corelatable thing about him, because

513
00:30:30,920 --> 00:30:33,760
Speaker 1: I swing between high levels of confidence and being like

514
00:30:33,800 --> 00:30:39,040
Speaker 1: no one loves me. Oh my god, they um. But

515
00:30:39,320 --> 00:30:41,360
Speaker 1: when he's saying that, like people made a lot of

516
00:30:41,920 --> 00:30:44,520
Speaker 1: noise about like him saying, oh my god, could you

517
00:30:44,520 --> 00:30:46,440
Speaker 1: imagine if I lost a Biden, Like I might have

518
00:30:46,520 --> 00:30:48,800
Speaker 1: to leave the country. But he was the way he

519
00:30:48,880 --> 00:30:53,640
Speaker 1: was saying that was not like him taking that possibility seriously.

520
00:30:54,120 --> 00:30:56,840
Speaker 1: He was saying it like, could you imagine if I

521
00:30:56,880 --> 00:30:59,760
Speaker 1: lost to that idiot? Like more? Yeah, it'd be more

522
00:31:00,080 --> 00:31:03,600
Speaker 1: thing because I'm I'm facing such legal jeopardy. But that's

523
00:31:03,640 --> 00:31:07,040
Speaker 1: not the joke. But yeah, I don't know that that.

524
00:31:07,360 --> 00:31:10,560
Speaker 1: The other thing is especially like when you look at

525
00:31:10,560 --> 00:31:15,360
Speaker 1: Pennsylvania to like the Trump campaign is very focused on Pennsylvania,

526
00:31:15,480 --> 00:31:17,920
Speaker 1: Like the Trump campaign was all over the state over

527
00:31:17,960 --> 00:31:20,760
Speaker 1: the weekend, and like when you start thinking, now, like

528
00:31:20,800 --> 00:31:24,000
Speaker 1: if they're very narrowly just realizing if we can get

529
00:31:24,040 --> 00:31:26,960
Speaker 1: this one and everything else holds, then we just need

530
00:31:27,000 --> 00:31:30,680
Speaker 1: to focus, like laser guided fucory in the state of Pennsylvania,

531
00:31:30,720 --> 00:31:32,880
Speaker 1: which I don't know could be happening. There's a lot

532
00:31:32,920 --> 00:31:36,680
Speaker 1: of reports of how like uh, certain like the citizens

533
00:31:36,680 --> 00:31:39,240
Speaker 1: in some counties in Pennsylvania been calling local law enforcement

534
00:31:39,280 --> 00:31:41,600
Speaker 1: to be like is there gonna be like violence, Like

535
00:31:41,960 --> 00:31:43,840
Speaker 1: is it safe to go to the polls? Like I've

536
00:31:43,880 --> 00:31:46,440
Speaker 1: been hearing like this group is threatening this group or

537
00:31:46,440 --> 00:31:49,000
Speaker 1: this group is and like now the local law enforcements

538
00:31:49,040 --> 00:31:51,680
Speaker 1: like having to reassure people like no, like we're gonna

539
00:31:51,720 --> 00:31:54,320
Speaker 1: have you know, law enforcement there, nothing's gonna happen. So

540
00:31:54,320 --> 00:31:59,480
Speaker 1: there's also there's just so much just swirling misinformation, but

541
00:31:59,560 --> 00:32:05,360
Speaker 1: also local law unfortunate has been yeah, have been openly

542
00:32:05,480 --> 00:32:08,719
Speaker 1: supporting Trump and telling people they can't vote if they

543
00:32:08,720 --> 00:32:12,120
Speaker 1: have Black Lives Matter T shirts. There was a police

544
00:32:12,160 --> 00:32:16,680
Speaker 1: officer at a poem place with a Trump mask. Uh yeah, yeah,

545
00:32:16,760 --> 00:32:20,720
Speaker 1: no all they're illegal. But I mean there's police officers

546
00:32:20,760 --> 00:32:25,640
Speaker 1: going around in police cars saying Trump and Flatbush. Um.

547
00:32:25,760 --> 00:32:28,240
Speaker 1: So yeah, I just I don't know, I don't know

548
00:32:28,280 --> 00:32:30,320
Speaker 1: what's gonna happen. And then there was this New York

549
00:32:30,360 --> 00:32:36,000
Speaker 1: Times report. Uh, they did a podcast about how America

550
00:32:36,080 --> 00:32:38,920
Speaker 1: is breaking all sorts of gun sales records and its

551
00:32:39,000 --> 00:32:43,040
Speaker 1: first time gun gun buyers, which is really scary um

552
00:32:43,240 --> 00:32:48,200
Speaker 1: people on the side. No, but I've definitely been like

553
00:32:48,360 --> 00:32:50,120
Speaker 1: should I get a gun? Like do I need to

554
00:32:50,160 --> 00:32:53,080
Speaker 1: get a gun for the like every time I hear

555
00:32:53,280 --> 00:32:56,640
Speaker 1: these you know, white supremacists talking about like how they're

556
00:32:56,680 --> 00:33:00,320
Speaker 1: gonna kick off the second Civil War if Biden winds

557
00:33:00,480 --> 00:33:04,880
Speaker 1: like that's uh, Like part of me is like, I

558
00:33:04,880 --> 00:33:07,880
Speaker 1: feel like I'm letting my family down by like doing

559
00:33:08,080 --> 00:33:10,600
Speaker 1: by not having a gun. Well, I think it all

560
00:33:10,600 --> 00:33:12,840
Speaker 1: depends on what. You know. It's like one of those

561
00:33:12,840 --> 00:33:15,440
Speaker 1: things that well, everybody's buying a gun, what I need

562
00:33:15,480 --> 00:33:16,920
Speaker 1: to do and then a lot of people with guns

563
00:33:16,920 --> 00:33:19,120
Speaker 1: and I know what the fun to do? Yeah, that

564
00:33:19,160 --> 00:33:22,400
Speaker 1: could be a mess, But also like, yeah, it's a

565
00:33:22,440 --> 00:33:27,000
Speaker 1: lot like damn, how you get in here? We gotta

566
00:33:27,000 --> 00:33:30,160
Speaker 1: do a dance explaining how we met fifteen years ago?

567
00:33:31,760 --> 00:33:35,040
Speaker 1: Like everyone's doing it. I'm not entirely sure how to

568
00:33:35,120 --> 00:33:37,000
Speaker 1: do it, but maybe I should do it before I

569
00:33:37,040 --> 00:33:40,360
Speaker 1: can't do it anymore because they might feel I feel

570
00:33:40,400 --> 00:33:44,280
Speaker 1: like I'm letting my family down by not having a gun.

571
00:33:44,440 --> 00:33:47,920
Speaker 1: Until I realized remember that I dropped my phone five

572
00:33:47,960 --> 00:33:51,040
Speaker 1: times a day and like doing it in cartoonish fashion

573
00:33:51,080 --> 00:34:02,840
Speaker 1: where I'm like like, yeah, Curtis dropped they and room. Yeah, alright,

574
00:34:03,080 --> 00:34:06,680
Speaker 1: let's let's talk about how the right is covering or

575
00:34:06,920 --> 00:34:09,480
Speaker 1: was covering I guess towards the end of last week

576
00:34:09,680 --> 00:34:12,759
Speaker 1: the election, So there was massive news last week the

577
00:34:12,880 --> 00:34:18,240
Speaker 1: UPS was conspiring with the Biden campaign to cover up, uh,

578
00:34:18,440 --> 00:34:23,680
Speaker 1: the explosive documents that we're going to lead to the

579
00:34:23,920 --> 00:34:27,600
Speaker 1: end of Biden's campaign. They were just going to have

580
00:34:27,719 --> 00:34:31,920
Speaker 1: to resign once once the ship hit, uh. And so

581
00:34:32,320 --> 00:34:36,440
Speaker 1: Tucker Carlson told us that you know, somebody had opened

582
00:34:36,480 --> 00:34:43,319
Speaker 1: their mail stolen the documents, except don't don't don't. I

583
00:34:43,360 --> 00:34:46,000
Speaker 1: don't know. So it's it's so weird, he said. He

584
00:34:46,480 --> 00:34:48,520
Speaker 1: first he was like very clear, like and I did

585
00:34:48,680 --> 00:34:51,680
Speaker 1: have copies of it, it wasn't the only copies. Like

586
00:34:51,719 --> 00:34:53,120
Speaker 1: he had to like mention that because I think a

587
00:34:53,120 --> 00:34:55,080
Speaker 1: lot of people were saying, like you you shipped the

588
00:34:55,160 --> 00:34:59,359
Speaker 1: only version of the explosive documents you had without any

589
00:34:59,400 --> 00:35:03,040
Speaker 1: redundant back ups or anything like that. And he did reiterate,

590
00:35:03,040 --> 00:35:05,200
Speaker 1: He's like, we made copy like you like as if

591
00:35:05,280 --> 00:35:08,240
Speaker 1: a lot of people. Why are we even talking about

592
00:35:08,320 --> 00:35:13,319
Speaker 1: something and there's also a flash drive, okay, because we're like,

593
00:35:13,320 --> 00:35:15,239
Speaker 1: oh now it's a it's a documents. Now it's a

594
00:35:15,239 --> 00:35:18,759
Speaker 1: flash drive. But he did say that you know, the

595
00:35:19,320 --> 00:35:23,120
Speaker 1: UPS found it, and he's very very thankful. But I'm

596
00:35:23,120 --> 00:35:25,440
Speaker 1: gonna play a couple of parts of his like sort

597
00:35:25,480 --> 00:35:29,080
Speaker 1: of monologue on Thursday. He first still wants to let

598
00:35:29,120 --> 00:35:32,080
Speaker 1: you know that even though the flash drive was found,

599
00:35:32,120 --> 00:35:34,960
Speaker 1: so I guess it wasn't It wasn't total malarkey. He's

600
00:35:34,960 --> 00:35:37,440
Speaker 1: still suspicious. So, as you can imagine, we wanted to

601
00:35:37,520 --> 00:35:41,200
Speaker 1: know what happened. Unfortunately, still don't know what happened. This morning,

602
00:35:41,320 --> 00:35:43,799
Speaker 1: UPS issued a press release announcing they had found our

603
00:35:43,800 --> 00:35:46,520
Speaker 1: flash drive and then boasting about their customer service quote.

604
00:35:46,800 --> 00:35:49,600
Speaker 1: UPS will always focus first on our customers and will

605
00:35:49,640 --> 00:35:53,400
Speaker 1: never stop working to solve issues, which is fine. UPS

606
00:35:53,520 --> 00:35:56,760
Speaker 1: is a reliable company. They really lose anything. We agree

607
00:35:56,800 --> 00:35:58,720
Speaker 1: with that that's why we use them in the first place.

608
00:35:59,200 --> 00:36:03,239
Speaker 1: And yet they lost are biden documents. How UPS won't

609
00:36:03,239 --> 00:36:05,319
Speaker 1: tell us how we spent a lot of the day

610
00:36:05,320 --> 00:36:07,560
Speaker 1: talking to executives there. They claimed that the flash drive

611
00:36:07,640 --> 00:36:10,120
Speaker 1: was found on Monday night by an hourly employee at

612
00:36:10,120 --> 00:36:13,360
Speaker 1: the UPS building on forty Street in Manhattan. They suggested

613
00:36:13,400 --> 00:36:15,719
Speaker 1: it might have been sitting on the floor there. They

614
00:36:15,760 --> 00:36:19,720
Speaker 1: couldn't prove that because remarkably, in a room where millions

615
00:36:19,800 --> 00:36:23,800
Speaker 1: of high value packages are handled, there are no security cameras.

616
00:36:23,920 --> 00:36:26,359
Speaker 1: That's what they told us. So he goes on like

617
00:36:26,440 --> 00:36:29,720
Speaker 1: with this like so like still kind of like raising

618
00:36:30,200 --> 00:36:33,759
Speaker 1: suspicions like that he's not letting it go that there's

619
00:36:33,800 --> 00:36:37,640
Speaker 1: still despite them finding it. He couldn't. He had to

620
00:36:37,640 --> 00:36:40,240
Speaker 1: make sure that like sort of deep deep state plot

621
00:36:40,640 --> 00:36:42,920
Speaker 1: pot was still kind of percolating a little bit. He

622
00:36:42,960 --> 00:36:44,320
Speaker 1: couldn't just let it be like, oh, they found it.

623
00:36:44,360 --> 00:36:46,080
Speaker 1: I guess that was I just took an oun Sorry

624
00:36:46,120 --> 00:36:50,200
Speaker 1: about that, thanks, he but then he fucking then he

625
00:36:50,280 --> 00:36:54,040
Speaker 1: does this weird ass turn towards the end of this monologue,

626
00:36:54,080 --> 00:36:56,239
Speaker 1: which I don't understand what what the point is of this,

627
00:36:56,320 --> 00:36:59,200
Speaker 1: where he suddenly finds his soul A lot of documents

628
00:36:59,200 --> 00:37:01,680
Speaker 1: about Hunter biden personal life that we haven't brought to

629
00:37:01,680 --> 00:37:03,480
Speaker 1: you and we're not going to, and we should tell

630
00:37:03,480 --> 00:37:06,360
Speaker 1: you why. One is the obvious answer. He's not running

631
00:37:06,360 --> 00:37:09,480
Speaker 1: for president, and so it's the extent those documents pertained

632
00:37:09,480 --> 00:37:13,279
Speaker 1: to his dad, of course, but Hunter Biden is a

633
00:37:13,360 --> 00:37:15,319
Speaker 1: fallen man at this point. And I should also say

634
00:37:15,320 --> 00:37:17,560
Speaker 1: that I knew Hunter Biden fairly well. We lived near

635
00:37:17,600 --> 00:37:19,759
Speaker 1: each other in Washington for pit some time. I knew

636
00:37:19,800 --> 00:37:22,160
Speaker 1: his wife, who was an absolutely outstanding person, a good person.

637
00:37:22,960 --> 00:37:24,719
Speaker 1: I never thought Hunter Biden was a bad person. I

638
00:37:24,719 --> 00:37:27,040
Speaker 1: thought he had demons, but in the time I knew

639
00:37:27,080 --> 00:37:29,239
Speaker 1: him and kept them mostly under control. At some point

640
00:37:29,239 --> 00:37:31,200
Speaker 1: he lost control of those demons, and the world knows

641
00:37:31,280 --> 00:37:34,520
Speaker 1: that now he's now humiliated and alone. It's probably too

642
00:37:34,560 --> 00:37:36,719
Speaker 1: strong to say we feel sorry for Hunter Biden, but

643
00:37:36,800 --> 00:37:39,960
Speaker 1: the point is pounding on a man, jumping on, piling

644
00:37:40,000 --> 00:37:42,200
Speaker 1: on when he's already down, is something that we don't

645
00:37:42,200 --> 00:37:49,440
Speaker 1: want to be involved in. So with that, that little

646
00:37:49,440 --> 00:37:56,080
Speaker 1: motherfucker Carlson, I know how they spent the funk was

647
00:37:56,160 --> 00:38:02,080
Speaker 1: he He fucking wasted weeks fucking weeks on this ship

648
00:38:02,960 --> 00:38:05,279
Speaker 1: And then now it's like, you know what though, but like,

649
00:38:05,560 --> 00:38:08,760
Speaker 1: but here's what you and it's not. It has nothing

650
00:38:08,800 --> 00:38:10,560
Speaker 1: to do with it the fact that his bullshit and

651
00:38:10,600 --> 00:38:14,880
Speaker 1: has nothing to do with the race. It's because I

652
00:38:14,960 --> 00:38:17,680
Speaker 1: used to live near him and his wife is nice,

653
00:38:18,200 --> 00:38:23,759
Speaker 1: So we're gonna move on. So what with See, this

654
00:38:23,840 --> 00:38:27,439
Speaker 1: is what I'm curious. He still still was like he's

655
00:38:27,480 --> 00:38:29,359
Speaker 1: a he's a at this point, he's a fallen man.

656
00:38:29,520 --> 00:38:32,480
Speaker 1: He's alone and humiliated. Like okay, you're a way to

657
00:38:32,560 --> 00:38:34,960
Speaker 1: have like you have the empathy to be like, don't

658
00:38:35,000 --> 00:38:36,400
Speaker 1: kick a guy when he's down, but then be like,

659
00:38:36,440 --> 00:38:37,640
Speaker 1: I mean, this guy is like a piece of ship.

660
00:38:37,719 --> 00:38:42,040
Speaker 1: He's completely humiliated and over him. But like, that's where

661
00:38:42,080 --> 00:38:45,680
Speaker 1: I'm curious, right, this kind of floundering ship is of

662
00:38:45,719 --> 00:38:50,040
Speaker 1: someone who fears retribution or whatever by being like, yo,

663
00:38:50,120 --> 00:38:52,040
Speaker 1: I went all in on this dude, son who's now

664
00:38:52,080 --> 00:38:56,800
Speaker 1: the fucking president. Whoops um. And you know what, maybe

665
00:38:56,800 --> 00:38:58,719
Speaker 1: hopefully the last thing he hears from me going to

666
00:38:58,800 --> 00:39:01,879
Speaker 1: GOOTV weekend is me being like, hey, let's let's lay

667
00:39:01,880 --> 00:39:04,239
Speaker 1: off hunter Biden man. Don't kick a man when he's down,

668
00:39:04,320 --> 00:39:07,319
Speaker 1: like I don't. It's just them not having it. They

669
00:39:07,320 --> 00:39:10,040
Speaker 1: don't have ship, they don't have anything to share, Like,

670
00:39:10,120 --> 00:39:14,279
Speaker 1: they don't have anything that's interesting that they knew they

671
00:39:14,360 --> 00:39:17,719
Speaker 1: didn't though, you know what I mean, Like, yeah, so

672
00:39:17,840 --> 00:39:20,040
Speaker 1: I think they backed themselves into a corner. They had

673
00:39:20,120 --> 00:39:23,520
Speaker 1: this big story about how the Deep States stole their

674
00:39:23,560 --> 00:39:27,040
Speaker 1: flash drive. Then UPS came out and was like, yeah,

675
00:39:27,080 --> 00:39:29,239
Speaker 1: we found their flash drive. We have their flash drive

676
00:39:29,480 --> 00:39:32,600
Speaker 1: right here now, So what's he gonna do. He's gonna

677
00:39:32,640 --> 00:39:35,080
Speaker 1: he's got to share something, or he's got to be like,

678
00:39:35,440 --> 00:39:38,560
Speaker 1: and you know what, it's so explosive, We're not even

679
00:39:38,600 --> 00:39:40,359
Speaker 1: going to share it because we don't want to do

680
00:39:40,440 --> 00:39:44,280
Speaker 1: that to this loser. He was saying. They are still

681
00:39:44,320 --> 00:39:48,520
Speaker 1: like assessing some of the documents and terrifying. It's just

682
00:39:48,520 --> 00:39:50,400
Speaker 1: so weird. But then you go out there with your

683
00:39:50,440 --> 00:39:53,719
Speaker 1: chest out and being like, oh, I got the fucking receipts,

684
00:39:53,800 --> 00:39:57,480
Speaker 1: y'all just wait, just you wait. It's just a Karen

685
00:39:57,680 --> 00:40:02,000
Speaker 1: energy of being like, my hackage went missing. Clearly there

686
00:40:02,080 --> 00:40:07,200
Speaker 1: is a conspiracy against me. Remarkable. It's like, no, UPS

687
00:40:07,280 --> 00:40:10,520
Speaker 1: sometimes lose a ship, even if you're important, Like they

688
00:40:10,600 --> 00:40:13,120
Speaker 1: found it, they looked for it, you filed the complaint.

689
00:40:13,280 --> 00:40:16,719
Speaker 1: The system worked the way it was supposed to, right.

690
00:40:17,640 --> 00:40:21,279
Speaker 1: It's most sneaker has no Sometimes these carriers they know

691
00:40:21,320 --> 00:40:23,360
Speaker 1: when you get a shipment coming in from Nike and

692
00:40:23,360 --> 00:40:25,920
Speaker 1: they'll take that ship. But Hunter Biden got his, uh,

693
00:40:26,040 --> 00:40:28,400
Speaker 1: he got his flash drive real quick. I don't know.

694
00:40:28,560 --> 00:40:31,839
Speaker 1: It's all fucking it's just so exhausting where you're just

695
00:40:31,960 --> 00:40:34,160
Speaker 1: like if you're if you're just gonna smear him, Like

696
00:40:34,200 --> 00:40:37,760
Speaker 1: what what's the point because you had no problem parading

697
00:40:37,800 --> 00:40:42,200
Speaker 1: around bullshit stories before this, Like why now are you

698
00:40:42,320 --> 00:40:46,160
Speaker 1: concerned about the veracity of like these Like I don't understand,

699
00:40:46,200 --> 00:40:48,799
Speaker 1: that's what it's not fully clicking and I get what

700
00:40:48,840 --> 00:40:50,960
Speaker 1: you mean, Jack, where it's like, well they pump faked

701
00:40:50,960 --> 00:40:54,200
Speaker 1: a little too hard and no one bit so they're like, oh, actually,

702
00:40:54,480 --> 00:40:56,279
Speaker 1: actually I pulled my back. Never mind, I actually can't

703
00:40:56,280 --> 00:40:59,839
Speaker 1: play basketball with you guys like that weak ass pump fake.

704
00:41:00,160 --> 00:41:04,239
Speaker 1: Like I don't know. It's just very confusing. There's been

705
00:41:04,280 --> 00:41:08,919
Speaker 1: shameless propaganda since the beginning of time. It's just now

706
00:41:09,040 --> 00:41:13,279
Speaker 1: we have this hyper like focused you know, we have

707
00:41:13,360 --> 00:41:16,759
Speaker 1: social media, there's like full transparency. So it's just this

708
00:41:16,880 --> 00:41:20,840
Speaker 1: new phenomenon with Fox News where you have people that

709
00:41:20,880 --> 00:41:24,279
Speaker 1: are openly lying and then being like and don't pay

710
00:41:24,320 --> 00:41:28,200
Speaker 1: attention to anything that anybody else is saying. I think

711
00:41:28,239 --> 00:41:31,839
Speaker 1: it's just shocking that people actually fall for it, Like

712
00:41:31,920 --> 00:41:36,040
Speaker 1: that's what's just it would be so ridiculous and not

713
00:41:36,080 --> 00:41:38,239
Speaker 1: worth paying attention to if it weren't for the fact

714
00:41:38,280 --> 00:41:40,879
Speaker 1: that people are actually falling for this ship and it's

715
00:41:41,160 --> 00:41:44,120
Speaker 1: actually destroying the country. I think it's a failing on

716
00:41:44,160 --> 00:41:46,719
Speaker 1: the part of our education system because a lot of

717
00:41:46,760 --> 00:41:52,279
Speaker 1: people aren't learning how to critically assess information. Because like,

718
00:41:52,400 --> 00:41:56,200
Speaker 1: I have a brother who's twenty, Yeah, he's twenty, and

719
00:41:56,239 --> 00:41:58,520
Speaker 1: I was talking to him about the wage gap, and

720
00:41:58,560 --> 00:42:01,160
Speaker 1: he's a business major and he's like a sophomore in

721
00:42:01,200 --> 00:42:03,400
Speaker 1: college and he's like, well, like, say I'm a businessman.

722
00:42:03,440 --> 00:42:04,840
Speaker 1: I'm like, you're not, You're a clown. And he's like,

723
00:42:04,920 --> 00:42:08,239
Speaker 1: but say I'm a businessman and I'm trying to I'm

724
00:42:08,280 --> 00:42:11,359
Speaker 1: trying to like make the most money. Why if there's

725
00:42:11,360 --> 00:42:13,960
Speaker 1: a wage gap and I can hire women for less money,

726
00:42:14,000 --> 00:42:17,799
Speaker 1: wouldn't I have a company that hires only women. And

727
00:42:17,800 --> 00:42:20,160
Speaker 1: I'm like, that is the stupidest thing I've ever heard.

728
00:42:21,239 --> 00:42:24,319
Speaker 1: And my brother has a modicum of sense, and he's

729
00:42:24,360 --> 00:42:28,240
Speaker 1: still there, and I had a long conversation with him

730
00:42:28,280 --> 00:42:32,000
Speaker 1: about how to critically assess sources, how to use Google,

731
00:42:32,040 --> 00:42:34,840
Speaker 1: scholar stuff like that, and I'm like, look, you cannot

732
00:42:35,040 --> 00:42:37,640
Speaker 1: tell people you're related to me and go say somewhere

733
00:42:39,640 --> 00:42:41,800
Speaker 1: right where it's like, well, I've read stuff on both sides,

734
00:42:41,800 --> 00:42:45,080
Speaker 1: and I'm like, from where though, Like something from bright

735
00:42:45,160 --> 00:42:47,440
Speaker 1: Bart that says that the wage gap doesn't exist, and

736
00:42:47,480 --> 00:42:49,759
Speaker 1: then you're reading something from NPR that says the wage

737
00:42:49,800 --> 00:42:56,240
Speaker 1: gap does exist. Those sources are not equal. They just aren't. Yeah,

738
00:42:57,040 --> 00:43:01,520
Speaker 1: So that for for you know, an example, it's just

739
00:43:01,640 --> 00:43:04,239
Speaker 1: odd like because also the odd thing is he's not

740
00:43:04,320 --> 00:43:06,080
Speaker 1: like if you distill it down to what is bad

741
00:43:06,120 --> 00:43:08,080
Speaker 1: about that take, which is he's like, well, what's wrong

742
00:43:08,120 --> 00:43:11,200
Speaker 1: with exploiting people? Right? You know what I mean, That's

743
00:43:11,200 --> 00:43:14,040
Speaker 1: what it's coming down to, hop you know what I mean,

744
00:43:14,040 --> 00:43:17,600
Speaker 1: where it's like, do you get exploitation? Exploitation is not good.

745
00:43:17,640 --> 00:43:19,640
Speaker 1: I mean because by that same logic, that's how you

746
00:43:19,640 --> 00:43:22,719
Speaker 1: would you justify chattel slavery. You're like, well, I don't

747
00:43:22,719 --> 00:43:25,880
Speaker 1: pay them and I'm getting bookoo profits. I don't know

748
00:43:25,880 --> 00:43:29,279
Speaker 1: if you've seen the margins on cotton y'all, but when

749
00:43:29,320 --> 00:43:31,719
Speaker 1: you're not paying your workforce anything, you make a lot

750
00:43:31,719 --> 00:43:34,560
Speaker 1: of money. When you pay people unfairly, yes, you you

751
00:43:34,600 --> 00:43:36,680
Speaker 1: tend to make a little more money. But if you're

752
00:43:36,680 --> 00:43:38,840
Speaker 1: only in it to make money by exploiting people like

753
00:43:38,920 --> 00:43:40,799
Speaker 1: that's not that's not you're not doing that with your

754
00:43:40,800 --> 00:43:43,960
Speaker 1: heart people's defense. He was just saying, why don't more

755
00:43:44,000 --> 00:43:47,840
Speaker 1: workplaces have only women? He wasn't saying he wasn't sure.

756
00:43:47,880 --> 00:43:53,279
Speaker 1: And I don't mean to drag your brother existed. That's

757
00:43:53,280 --> 00:43:55,160
Speaker 1: for you. That's for you to do as an older sister,

758
00:43:55,239 --> 00:43:57,080
Speaker 1: that's for you to do. I'm just a podcaster who

759
00:43:57,080 --> 00:44:00,400
Speaker 1: has arguments in my mind with made up people, with

760
00:44:00,560 --> 00:44:03,719
Speaker 1: those studies that we talked about last week about you know,

761
00:44:03,840 --> 00:44:07,120
Speaker 1: how America has all these signs that they're headed for

762
00:44:07,440 --> 00:44:10,839
Speaker 1: spiraling out of control into a civil war. Like one

763
00:44:10,840 --> 00:44:16,680
Speaker 1: of the main symptoms is just stagnating wages. The wages

764
00:44:16,880 --> 00:44:21,480
Speaker 1: of actual workers, actual Americans, not like the uber wealthy,

765
00:44:21,600 --> 00:44:27,480
Speaker 1: the actual American worker have stagnated since the eighties. They like,

766
00:44:27,800 --> 00:44:31,000
Speaker 1: minimum wage is not going up. It's the federal minimum

767
00:44:31,040 --> 00:44:36,319
Speaker 1: wage has been for like a decade. Yeah, alright, let's

768
00:44:36,320 --> 00:44:42,000
Speaker 1: talk about how the man himself, Donald Trump, is dealing

769
00:44:42,640 --> 00:44:47,400
Speaker 1: with the coming election. He's he's doing the thing he

770
00:44:47,400 --> 00:44:50,600
Speaker 1: always does. He accuses somebody else that what he's gonna do.

771
00:44:53,280 --> 00:44:55,880
Speaker 1: And in this and in this regards, in this regard,

772
00:44:56,080 --> 00:44:58,560
Speaker 1: he is basically saying like, you know, honestly, the way

773
00:44:58,560 --> 00:45:03,160
Speaker 1: it's looking, the Supreme Court, they're helping Biden win this election. Um.

774
00:45:03,239 --> 00:45:07,000
Speaker 1: And he's referring to two decisions that were essentially, you know,

775
00:45:07,400 --> 00:45:11,440
Speaker 1: wins for democracy in Pennsylvania North Carolina, just on like

776
00:45:11,480 --> 00:45:13,239
Speaker 1: sort of the timing in which you can still count

777
00:45:13,280 --> 00:45:16,759
Speaker 1: these ballots. But you know, also, let's not forget on

778
00:45:17,280 --> 00:45:20,920
Speaker 1: Thursday or Friday, there was a fucking major blow in

779
00:45:20,960 --> 00:45:23,719
Speaker 1: the state of Minnesota that were the Supreme Court completely

780
00:45:23,800 --> 00:45:26,720
Speaker 1: skull fucked the grace period for ballots to be counted

781
00:45:26,760 --> 00:45:31,440
Speaker 1: after election day. UM. So changed like yeah, leading up

782
00:45:31,440 --> 00:45:33,960
Speaker 1: to the election, while people were voting and mailing in

783
00:45:33,960 --> 00:45:37,279
Speaker 1: the five days out five days out from election day. Um.

784
00:45:37,320 --> 00:45:39,920
Speaker 1: And I think all this to say at this point,

785
00:45:40,000 --> 00:45:42,759
Speaker 1: you know, uh, it's it's tomorrow. So I don't know

786
00:45:42,800 --> 00:45:45,719
Speaker 1: what else I can tell anybody except if you have

787
00:45:45,800 --> 00:45:52,359
Speaker 1: your vote, don't mailing. In some states you can as

788
00:45:52,400 --> 00:45:56,239
Speaker 1: long as it's postmarked by the election day. But I

789
00:45:56,239 --> 00:45:57,960
Speaker 1: would say if there's a place where you could just

790
00:45:58,000 --> 00:46:01,600
Speaker 1: like slide it to somebody like hear my vote, you

791
00:46:01,640 --> 00:46:05,200
Speaker 1: should do that. You should do one of those. Yeah,

792
00:46:05,280 --> 00:46:08,560
Speaker 1: that the uh, the Orange County Republican Party or whatever

793
00:46:09,920 --> 00:46:13,600
Speaker 1: ballot boxes. Yeah. So yeah, I mean that's that was

794
00:46:13,600 --> 00:46:16,120
Speaker 1: an interesting you know. Again, he was going back and

795
00:46:16,160 --> 00:46:18,919
Speaker 1: forth between oh my god, I'm losing because the people

796
00:46:18,920 --> 00:46:21,640
Speaker 1: who are supposed to help me are helping him. Um,

797
00:46:22,000 --> 00:46:24,319
Speaker 1: and then also he gets a win as well. So

798
00:46:24,360 --> 00:46:26,880
Speaker 1: it's just it's gonna be very hard to eat. I mean, like,

799
00:46:26,920 --> 00:46:30,480
Speaker 1: you know, if if I'm if I'm just high and

800
00:46:30,560 --> 00:46:32,200
Speaker 1: living in a dream scenario, It's like one of those

801
00:46:32,200 --> 00:46:35,080
Speaker 1: things where it's like, well, maybe maybe one of those

802
00:46:35,120 --> 00:46:37,680
Speaker 1: states that we think would never turn blue will turn

803
00:46:37,719 --> 00:46:41,439
Speaker 1: blue on Tuesday, and that would really that would really

804
00:46:41,480 --> 00:46:44,080
Speaker 1: make it easier for everybody to go to sleep. But

805
00:46:44,280 --> 00:46:47,320
Speaker 1: I don't know. People keep talking about Texas going blue,

806
00:46:47,320 --> 00:46:51,480
Speaker 1: and I'm just like, Okay, yeah, I'll believe it's if

807
00:46:51,520 --> 00:46:54,080
Speaker 1: I'll believe Ohio when I see it. I'll believe in

808
00:46:54,120 --> 00:46:57,440
Speaker 1: any of Florida places. Yeah, Florida, I'll believe it when

809
00:46:57,440 --> 00:47:00,040
Speaker 1: I see it. Um. Speaking of high and live in

810
00:47:00,200 --> 00:47:03,479
Speaker 1: a dream scenario, Donald Trump Jr. One of The Laura

811
00:47:03,760 --> 00:47:08,240
Speaker 1: Ingram Show to break the world record for most words

812
00:47:08,320 --> 00:47:13,560
Speaker 1: said well high on cocaine on TV. Yeah that for him? Yeah,

813
00:47:13,840 --> 00:47:17,239
Speaker 1: I mean we don't like to, you know, cast dispersions

814
00:47:17,280 --> 00:47:21,600
Speaker 1: on the first son um of the president. But here's

815
00:47:21,640 --> 00:47:24,480
Speaker 1: something I do know, and this is all anecdotal. The

816
00:47:24,600 --> 00:47:27,279
Speaker 1: wealthy white man I've been around who live in New York,

817
00:47:27,520 --> 00:47:30,759
Speaker 1: they like cocaine. Um. I just I'll just say I

818
00:47:30,800 --> 00:47:34,440
Speaker 1: know people in finance, the entertainment industry where you're like, wow,

819
00:47:34,480 --> 00:47:37,320
Speaker 1: that's white bag. Came out real quick and you haven't

820
00:47:37,360 --> 00:47:39,880
Speaker 1: even had your dinner. What is going on? It's just

821
00:47:40,320 --> 00:47:42,480
Speaker 1: so I'm just saying, I'm looking at through those lends

822
00:47:42,480 --> 00:47:44,439
Speaker 1: and I'm looking at a rich kid from New York

823
00:47:44,520 --> 00:47:46,840
Speaker 1: who has never had a job that wasn't with a

824
00:47:46,840 --> 00:47:49,160
Speaker 1: company with his own last name in it um, and

825
00:47:49,200 --> 00:47:51,320
Speaker 1: I'm thinking, yeah, okay, you're starting to fit that profile again.

826
00:47:51,440 --> 00:47:53,440
Speaker 1: This is this is all anecdote. I'm not this is

827
00:47:53,440 --> 00:47:55,719
Speaker 1: not a court of law. Okay, because I'm not Kim Kardashian,

828
00:47:55,760 --> 00:47:58,600
Speaker 1: I'm not legally able to practice law on the podcast.

829
00:47:58,680 --> 00:48:02,279
Speaker 1: But yes, just I just want everybody to watch this

830
00:48:02,360 --> 00:48:07,440
Speaker 1: man's face, um and his energy as he is really

831
00:48:07,480 --> 00:48:10,200
Speaker 1: talking about like start trying to dismiss the death toll

832
00:48:10,239 --> 00:48:14,560
Speaker 1: of the coronavirus. These people are truly morons. You know

833
00:48:14,560 --> 00:48:16,160
Speaker 1: what I mean. And I like how they go after

834
00:48:16,160 --> 00:48:19,480
Speaker 1: Scott Atlas because he's not an epidemiologist. But Sanjay Goop

835
00:48:19,560 --> 00:48:22,319
Speaker 1: do now magically? Is I mean, give me a break, Laura.

836
00:48:22,360 --> 00:48:24,400
Speaker 1: The reality is this. If you look. I put it

837
00:48:24,480 --> 00:48:26,279
Speaker 1: up on my Instagram a couple of days ago because

838
00:48:26,280 --> 00:48:28,520
Speaker 1: I went through the CD because I kept hearing about

839
00:48:28,520 --> 00:48:32,240
Speaker 1: new infections. But well, why aren't they talking about this? Oh?

840
00:48:32,320 --> 00:48:35,560
Speaker 1: Because the number is almost nothing because we've gotten control

841
00:48:35,600 --> 00:48:38,359
Speaker 1: of this. They we understand how how it works. They

842
00:48:38,400 --> 00:48:40,680
Speaker 1: have the therapeutics to be able to deal with this.

843
00:48:41,000 --> 00:48:42,920
Speaker 1: If you look at that, look at my Instagram, it's

844
00:48:42,960 --> 00:48:48,680
Speaker 1: gone to almost nothing. Okay. His eyes are like he

845
00:48:48,719 --> 00:48:52,920
Speaker 1: looks high, like like high, like he smoked weed. Like

846
00:48:53,000 --> 00:48:56,440
Speaker 1: his eyes are like almost shut. He looks at the

847
00:48:56,560 --> 00:49:06,680
Speaker 1: speed of light. You know how when people get high

848
00:49:06,760 --> 00:49:09,440
Speaker 1: and then they get excited about some idea and they're like, Okay,

849
00:49:09,440 --> 00:49:11,560
Speaker 1: so I have this idea. What we're gonna do is

850
00:49:11,560 --> 00:49:15,200
Speaker 1: we're gonna take gifts, right Instagram? Yeah, you know the

851
00:49:15,239 --> 00:49:18,000
Speaker 1: gift like like the moving thing doesn't have sound. You

852
00:49:18,080 --> 00:49:19,960
Speaker 1: made a gift, but it had sounds like you just

853
00:49:20,080 --> 00:49:26,399
Speaker 1: invented video. Congratulations. That's exactly what I think you're describing Snapchat.

854
00:49:26,760 --> 00:49:32,799
Speaker 1: What is that man that's you're like, oh, come on now,

855
00:49:33,560 --> 00:49:36,000
Speaker 1: I'm sorry, is your friend Okay, he's just coked out

856
00:49:36,040 --> 00:49:38,839
Speaker 1: and he's mad. He didn't think of snapchat. Eight years

857
00:49:38,880 --> 00:49:45,440
Speaker 1: after the ft, he was wearing a a windbreaker that

858
00:49:45,560 --> 00:49:48,799
Speaker 1: said team Trump on one breast and then Don on

859
00:49:48,880 --> 00:49:52,600
Speaker 1: the other. Um, just to complete the picture for I

860
00:49:52,640 --> 00:49:57,520
Speaker 1: wonder if you gave tiffany one of those. She's out there.

861
00:49:57,760 --> 00:49:59,920
Speaker 1: She's out there also doing her part as a sarag

862
00:50:00,040 --> 00:50:02,280
Speaker 1: it even though everyone was like, oh, she's the rebel,

863
00:50:02,360 --> 00:50:07,919
Speaker 1: and it's like she just is less loved. The thing.

864
00:50:08,560 --> 00:50:12,480
Speaker 1: The thing with this clip, I mean, this is him

865
00:50:12,520 --> 00:50:15,120
Speaker 1: off his face. Like it's really morbid when you think

866
00:50:15,160 --> 00:50:17,560
Speaker 1: about it, right, Like this is the son of the president.

867
00:50:17,920 --> 00:50:22,640
Speaker 1: When they're discussing, like, you know, rally goers of any

868
00:50:22,680 --> 00:50:26,120
Speaker 1: Trump rally should quarantine. It's unsafe. There's a pandemic. This

869
00:50:26,160 --> 00:50:29,960
Speaker 1: is for safety. This this guy's fucking on it. He's

870
00:50:30,040 --> 00:50:32,680
Speaker 1: on one. I don't know what, but he's on one

871
00:50:32,960 --> 00:50:34,879
Speaker 1: and he's like, you know, the thing is like Laura,

872
00:50:35,160 --> 00:50:37,680
Speaker 1: I mean when you look at it, it's so it's

873
00:50:37,719 --> 00:50:41,359
Speaker 1: basically basically nothing nobody's done. Yeah, it looks like a

874
00:50:41,400 --> 00:50:43,680
Speaker 1: scene where like in like Blow or any of those

875
00:50:43,719 --> 00:50:46,319
Speaker 1: like drug movies, where like the ship starts coming down

876
00:50:46,480 --> 00:50:49,480
Speaker 1: like fun, man, get the fucking crash over there. Like

877
00:50:50,280 --> 00:50:52,319
Speaker 1: it's all good, man, because nothing going on, like you know,

878
00:50:52,320 --> 00:50:53,960
Speaker 1: it's my kid's birthday, Like we're gonna have the park

879
00:50:54,040 --> 00:50:55,200
Speaker 1: in the back. It's all gonna be good, you know.

880
00:50:55,840 --> 00:50:57,839
Speaker 1: But I don't know. That's it's so hard to read

881
00:50:57,840 --> 00:51:00,120
Speaker 1: their energies or like if I'm writing a screw up,

882
00:51:00,160 --> 00:51:02,120
Speaker 1: I'm like, Okay, this is perfect. This is the drama

883
00:51:02,200 --> 00:51:04,880
Speaker 1: scene where you realize it's not going to happen and

884
00:51:04,920 --> 00:51:07,160
Speaker 1: they're all panicking. But then I don't know. I mean,

885
00:51:07,200 --> 00:51:09,719
Speaker 1: like they're so insulated with their privilege. He might just

886
00:51:09,800 --> 00:51:11,600
Speaker 1: be having a good night and be like, yeah, I

887
00:51:11,640 --> 00:51:13,080
Speaker 1: don't know. I just blew up and went on lord

888
00:51:13,200 --> 00:51:15,759
Speaker 1: Ingram to just talk some ship. I mean. Also, I

889
00:51:15,760 --> 00:51:18,920
Speaker 1: think there's a huge focus on COVID deaths, and I

890
00:51:18,960 --> 00:51:20,759
Speaker 1: think that it is important that we look at the

891
00:51:20,760 --> 00:51:23,600
Speaker 1: fact that a quarter of a million people practically have died,

892
00:51:24,400 --> 00:51:28,080
Speaker 1: but also there are people that are sick and we

893
00:51:28,200 --> 00:51:31,640
Speaker 1: don't know what the long term implications of that illness

894
00:51:31,680 --> 00:51:35,520
Speaker 1: are and they're like very sick and they're alive, but

895
00:51:35,600 --> 00:51:39,080
Speaker 1: they're not okay. And that's the conversation that we also

896
00:51:39,200 --> 00:51:41,680
Speaker 1: need to have because it's like they're like, oh, well,

897
00:51:41,880 --> 00:51:44,600
Speaker 1: you know, people died. We knew people were going to die.

898
00:51:44,760 --> 00:51:47,200
Speaker 1: It could have been more people. If I hadn't closed

899
00:51:47,200 --> 00:51:51,200
Speaker 1: the border to China, would have been more people. But like,

900
00:51:51,360 --> 00:51:53,920
Speaker 1: there are still people who are sick, like long haulers

901
00:51:53,960 --> 00:51:56,600
Speaker 1: who are chronically fatigued for the rest of their life,

902
00:51:56,640 --> 00:51:58,799
Speaker 1: might have heart and lung issues for the rest of

903
00:51:58,800 --> 00:52:03,520
Speaker 1: their life. Like that's also worth exploring and worth avoiding. Yeah,

904
00:52:03,560 --> 00:52:05,680
Speaker 1: and also I think a thousand people died on the

905
00:52:05,760 --> 00:52:08,719
Speaker 1: day that he said that. It's practically no one like

906
00:52:09,440 --> 00:52:11,680
Speaker 1: to nine elevens worth of people died in like the

907
00:52:11,760 --> 00:52:14,680
Speaker 1: last week or so. Well, you know again, he was

908
00:52:14,719 --> 00:52:17,759
Speaker 1: even talking about this with the Azerbaijan Armenia thing. It's

909
00:52:17,800 --> 00:52:20,400
Speaker 1: like when the victims don't look like most of the country,

910
00:52:20,400 --> 00:52:23,680
Speaker 1: it's like, I don't know, I'm I'm fine, I'm fine.

911
00:52:23,920 --> 00:52:27,120
Speaker 1: And I think we have this weird narrative in their

912
00:52:27,120 --> 00:52:30,560
Speaker 1: head about what it means to get coronavirus, which is like, dude,

913
00:52:30,560 --> 00:52:33,120
Speaker 1: you'll get it, it'll be fucked up for two weeks

914
00:52:33,160 --> 00:52:36,120
Speaker 1: and then like you're over it. Because that's not the case.

915
00:52:36,200 --> 00:52:40,080
Speaker 1: Like every person I know who has battled it or

916
00:52:40,120 --> 00:52:43,040
Speaker 1: has family that has, like some have come out the

917
00:52:43,080 --> 00:52:46,720
Speaker 1: other side with like you know, their scent and taste

918
00:52:46,719 --> 00:52:49,520
Speaker 1: intact and things like that. Others are like it's incremental.

919
00:52:50,320 --> 00:52:53,839
Speaker 1: Others are like, my heartbeat can be weird sometimes, And

920
00:52:54,120 --> 00:52:57,160
Speaker 1: it's like that's the ship you should really fears, like, well,

921
00:52:57,280 --> 00:52:59,160
Speaker 1: it's not that you're gonna get a illness that you

922
00:52:59,200 --> 00:53:01,360
Speaker 1: get over. It's like you can get something that could

923
00:53:01,440 --> 00:53:05,640
Speaker 1: fundamentally change how you live your life, um, depending on

924
00:53:05,680 --> 00:53:08,960
Speaker 1: your own biology. Yeah, that's what scares the ship out

925
00:53:09,000 --> 00:53:11,960
Speaker 1: of me. Like I don't and that's why I'm like

926
00:53:12,000 --> 00:53:14,360
Speaker 1: always just want people to be as safe as possible

927
00:53:14,400 --> 00:53:17,560
Speaker 1: or at least to be in tune with that. But unfortunately,

928
00:53:17,560 --> 00:53:19,799
Speaker 1: we're also living in such a cruel society where if

929
00:53:19,840 --> 00:53:22,480
Speaker 1: some people they have no financial recourse except to put

930
00:53:22,520 --> 00:53:26,520
Speaker 1: themselves in danger, and I think that's just so fucked up. Um.

931
00:53:26,560 --> 00:53:29,280
Speaker 1: I mean, as we're recording this, there was a record

932
00:53:31,040 --> 00:53:35,799
Speaker 1: eight new virus cases in a single day. Is that nationwide? Yeah?

933
00:53:36,560 --> 00:53:42,080
Speaker 1: And also just massive suspicious male delays in Pennsylvania. So yeah,

934
00:53:42,280 --> 00:53:45,440
Speaker 1: they're they're doing everything they can to steal this and

935
00:53:45,640 --> 00:53:49,040
Speaker 1: remain in power and do nothing about the about the pandemic.

936
00:53:49,360 --> 00:53:51,279
Speaker 1: Let's take a quick break, we'll be right back to

937
00:53:51,280 --> 00:54:05,920
Speaker 1: talk about Kim Kardashian. And we're back, and uh, let's

938
00:54:05,920 --> 00:54:10,160
Speaker 1: get into I guess I could be called bram Bleach.

939
00:54:10,239 --> 00:54:15,399
Speaker 1: It's still it's sort of brain rot, but it's still

940
00:54:15,440 --> 00:54:19,879
Speaker 1: kind of needed. But it is a distraction. Uh So.

941
00:54:20,000 --> 00:54:25,440
Speaker 1: Kim Kardashian has extended her run of her one woman

942
00:54:25,520 --> 00:54:31,719
Speaker 1: show called Violently out of Touch, with a hologram from

943
00:54:31,719 --> 00:54:36,600
Speaker 1: her husband, Kanye West of her dad, her late father,

944
00:54:37,000 --> 00:54:44,040
Speaker 1: her decease father, Robert Kardashian get sending well wishes to

945
00:54:44,080 --> 00:54:48,319
Speaker 1: his daughter on her forty birthday. The video, I mean,

946
00:54:48,400 --> 00:54:52,080
Speaker 1: we we'll get into what, you know, obviously how disconnected

947
00:54:52,120 --> 00:54:55,080
Speaker 1: from reality Kim Kay is. But like the video is

948
00:54:55,120 --> 00:54:58,640
Speaker 1: so fucking weird, like if it was if I was

949
00:54:58,719 --> 00:55:00,560
Speaker 1: Kim Cam, Like that ain't my dad, and this is

950
00:55:00,560 --> 00:55:03,160
Speaker 1: a waste of money and this is actually fucking stupid

951
00:55:03,239 --> 00:55:06,680
Speaker 1: because this this person is like moving like a car salesman.

952
00:55:06,800 --> 00:55:10,240
Speaker 1: The way he's gesturing He's like, also, Kim, I must

953
00:55:10,239 --> 00:55:14,880
Speaker 1: say I am a proud Armenian father, and you have

954
00:55:15,080 --> 00:55:20,480
Speaker 1: married the biggest, most most most most most most genius

955
00:55:20,560 --> 00:55:23,520
Speaker 1: man in Kanye West. Like that the number of most

956
00:55:23,719 --> 00:55:25,960
Speaker 1: or whatever that modifier was to saying Kanye was a

957
00:55:25,960 --> 00:55:28,960
Speaker 1: genius made me cringe up out of my sense, like

958
00:55:29,040 --> 00:55:31,239
Speaker 1: you could just say genius, Like you don't need to

959
00:55:31,280 --> 00:55:33,640
Speaker 1: put all that extra on it. It's like a hat

960
00:55:33,680 --> 00:55:35,239
Speaker 1: on a hat on a hat on a hat on

961
00:55:35,239 --> 00:55:42,000
Speaker 1: a hat a hat down right, Yeah, I did, Jack.

962
00:55:42,040 --> 00:55:44,040
Speaker 1: How much of the video did you see? I just

963
00:55:44,040 --> 00:55:47,279
Speaker 1: watched like the ten seconds that you heard me watch

964
00:55:47,400 --> 00:55:50,040
Speaker 1: before we started recording, so I just saw the end.

965
00:55:50,800 --> 00:55:53,080
Speaker 1: What do we Okay, let's I mean, let's try and

966
00:55:53,120 --> 00:55:55,839
Speaker 1: be objective. You're if we're gonna go on like a

967
00:55:55,880 --> 00:55:58,680
Speaker 1: grading scale, what do we grade the quality of this

968
00:55:59,000 --> 00:56:02,120
Speaker 1: spooky ass hall Grandma for dead father? Um? Are we

969
00:56:02,160 --> 00:56:05,440
Speaker 1: doing what to ten or letters one to ten? I'm

970
00:56:05,440 --> 00:56:08,400
Speaker 1: going to give it a four because it had a

971
00:56:08,440 --> 00:56:13,239
Speaker 1: body and a face, so there's that, and that gives

972
00:56:13,239 --> 00:56:15,520
Speaker 1: it like a couple of points and then it did

973
00:56:15,960 --> 00:56:19,000
Speaker 1: not like glitch, A lot of points lost for the

974
00:56:19,080 --> 00:56:23,880
Speaker 1: weird um like sound of snap at the endmost Yeah,

975
00:56:24,160 --> 00:56:27,919
Speaker 1: did his face seem to like not emote that well too?

976
00:56:28,000 --> 00:56:30,280
Speaker 1: Like it also felt like it was sort of missing

977
00:56:30,320 --> 00:56:33,719
Speaker 1: a lot of like good facial expressions that would have

978
00:56:33,760 --> 00:56:37,520
Speaker 1: took it from like creepy Avatar simulation to like maybe

979
00:56:37,560 --> 00:56:39,960
Speaker 1: I am hallucinating and that is my dad. I mean,

980
00:56:40,040 --> 00:56:41,560
Speaker 1: I don't know him, so I don't know what his

981
00:56:41,680 --> 00:56:45,680
Speaker 1: face is like. So I'm not gonna nitpick stuff like that.

982
00:56:45,880 --> 00:56:49,320
Speaker 1: But I also think that the subjects he was talking

983
00:56:49,360 --> 00:56:53,600
Speaker 1: about were peculiar, Like you think you'd talked more about

984
00:56:53,680 --> 00:56:58,200
Speaker 1: her childhood and things that he loved about her, like specifics,

985
00:56:58,520 --> 00:57:03,200
Speaker 1: but he was like, oh know when when people fart sometimes,

986
00:57:03,200 --> 00:57:06,239
Speaker 1: I'm there like that was a weird thing. It must

987
00:57:06,280 --> 00:57:08,960
Speaker 1: be like weird thing. That's where like I got it

988
00:57:08,960 --> 00:57:11,560
Speaker 1: was started thinking about who was behind like the writing

989
00:57:11,600 --> 00:57:15,399
Speaker 1: of that script, because clearly the genius genius genius most

990
00:57:15,440 --> 00:57:18,160
Speaker 1: most most most most most most times ten genius r

991
00:57:18,200 --> 00:57:20,760
Speaker 1: I had to be a late note from Kanye or

992
00:57:20,800 --> 00:57:22,920
Speaker 1: maybe that's the only thing he had written down, and

993
00:57:22,920 --> 00:57:25,000
Speaker 1: then they had to build the entire speech around that.

994
00:57:25,560 --> 00:57:28,680
Speaker 1: Um But like the pefe thing, I must be I'm

995
00:57:28,760 --> 00:57:31,360
Speaker 1: guessing that's like an inside family joke that maybe one

996
00:57:31,360 --> 00:57:34,880
Speaker 1: of the sisters could have like helped like concocted. But

997
00:57:35,040 --> 00:57:39,080
Speaker 1: the p thing was peculiar also because like I'm not Armenian,

998
00:57:39,160 --> 00:57:40,800
Speaker 1: so I didn't know that that was like an Armenian

999
00:57:40,920 --> 00:57:42,560
Speaker 1: term for farting. So I was like, what is he saying?

1000
00:57:42,560 --> 00:57:44,120
Speaker 1: And then when I found out, I was like, oh,

1001
00:57:44,200 --> 00:57:47,600
Speaker 1: I don't why would you lead with that? Also like

1002
00:57:48,400 --> 00:57:52,920
Speaker 1: what's yeah maybe yeah, I don't know. Again, but then

1003
00:57:52,920 --> 00:57:55,919
Speaker 1: on top of it, the tone deafness is really something

1004
00:57:55,920 --> 00:57:57,800
Speaker 1: like to even tweet about it, he like, just don't

1005
00:57:57,800 --> 00:58:00,360
Speaker 1: tweet about it because like just all around you don't

1006
00:58:00,360 --> 00:58:04,919
Speaker 1: need to know. I think that the gesture. I get

1007
00:58:04,920 --> 00:58:07,640
Speaker 1: that the gesture is sweet in terms of like, also,

1008
00:58:08,080 --> 00:58:12,120
Speaker 1: she is deeply wealthy, She's like hyper wealthy. What are

1009
00:58:12,160 --> 00:58:15,000
Speaker 1: you able to even get somebody when they're that rash

1010
00:58:15,080 --> 00:58:17,520
Speaker 1: that they can't get themselves the most awful gift of

1011
00:58:17,520 --> 00:58:23,640
Speaker 1: a lifetime a special surprise from heaven with my dead father. Um,

1012
00:58:23,880 --> 00:58:26,440
Speaker 1: So like I get that the gesture was kind and

1013
00:58:26,560 --> 00:58:28,720
Speaker 1: it is something that she's not going to think to

1014
00:58:28,760 --> 00:58:31,600
Speaker 1: get herself. It would be weirder if she got it herself.

1015
00:58:32,520 --> 00:58:35,560
Speaker 1: But also, like we don't need to know everything, Like

1016
00:58:35,720 --> 00:58:37,840
Speaker 1: we don't need to keep up with you. We have

1017
00:58:37,880 --> 00:58:39,800
Speaker 1: a show for that, Like we didn't need this on

1018
00:58:39,840 --> 00:58:44,080
Speaker 1: your Twitter. Something's there's a difference between privacy and secrecy,

1019
00:58:44,280 --> 00:58:46,680
Speaker 1: and she needs to keep some ship private. Like it

1020
00:58:46,720 --> 00:58:48,600
Speaker 1: doesn't need to be a secret, but she needs to

1021
00:58:48,680 --> 00:58:51,280
Speaker 1: keep some ship private. Yeah. I mean, I'd imagine a

1022
00:58:51,280 --> 00:58:55,120
Speaker 1: lot of the like fun or not fun. But the

1023
00:58:55,160 --> 00:58:57,720
Speaker 1: magic of this is being in the room with it

1024
00:58:57,840 --> 00:59:00,920
Speaker 1: and being able to like walk around it right, like

1025
00:59:01,000 --> 00:59:03,800
Speaker 1: to see that it's standing in front of you. Uh.

1026
00:59:03,920 --> 00:59:07,200
Speaker 1: In terms of the quality, but it does it does

1027
00:59:07,360 --> 00:59:10,840
Speaker 1: feel like you. I don't know, It's like a cartoon

1028
00:59:11,120 --> 00:59:15,400
Speaker 1: version of somebody. It's like, yeah, he's got like all

1029
00:59:15,440 --> 00:59:19,920
Speaker 1: these gestures and weird things like an Xbox cinematic scene.

1030
00:59:19,960 --> 00:59:23,560
Speaker 1: It cuts it didn't feel like it. I was like, bro,

1031
00:59:23,760 --> 00:59:26,560
Speaker 1: this is like a good video game and honestly, video

1032
00:59:26,600 --> 00:59:29,120
Speaker 1: game cut scenes. I would be kissed if somebody trying

1033
00:59:29,160 --> 00:59:32,720
Speaker 1: to like resurrect one of my relatives and such shitty fashion.

1034
00:59:33,200 --> 00:59:35,480
Speaker 1: But that's what the movement was for me. Was one

1035
00:59:35,520 --> 00:59:39,320
Speaker 1: of those um non playing characters. Do you want to

1036
00:59:39,360 --> 00:59:43,640
Speaker 1: buy some shields for your Oh, and you are trying

1037
00:59:43,640 --> 00:59:46,320
Speaker 1: to be a lawyer like your father, Kim. I love that.

1038
00:59:46,880 --> 00:59:51,640
Speaker 1: It's so Then obviously the replies, she's just again, she

1039
00:59:51,640 --> 00:59:54,440
Speaker 1: she got so much smoke for the fucking private island

1040
00:59:54,480 --> 00:59:57,320
Speaker 1: FIAT forty birthday celebrations, Like oh my god, and I

1041
00:59:57,400 --> 00:59:59,440
Speaker 1: know how privileged I am, but I can't help but

1042
00:59:59,640 --> 01:00:03,160
Speaker 1: staun on all of you with this tweet. Uh same

1043
01:00:03,200 --> 01:00:06,440
Speaker 1: thing here, you know, like people first survibe was like

1044
01:00:06,480 --> 01:00:08,480
Speaker 1: ha ha, I can hang out with loved ones like

1045
01:00:08,520 --> 01:00:10,640
Speaker 1: it's not a pandemic. And now it's like a ha,

1046
01:00:10,840 --> 01:00:12,640
Speaker 1: not only did many of you struggle to even see

1047
01:00:12,640 --> 01:00:14,840
Speaker 1: your loved ones pass away in person, I can summon

1048
01:00:14,920 --> 01:00:19,439
Speaker 1: satanic technologies to defic my daddy eat that. Uh, it's

1049
01:00:19,480 --> 01:00:22,040
Speaker 1: like what the funk? Like what who? This is like

1050
01:00:22,080 --> 01:00:23,840
Speaker 1: one of those things like you're saying, like you keep

1051
01:00:23,840 --> 01:00:27,720
Speaker 1: that ship secret, like your opulent lifestyle is offensive. It's

1052
01:00:27,840 --> 01:00:30,160
Speaker 1: offensive or whatever, But you want that to be a

1053
01:00:30,200 --> 01:00:32,360
Speaker 1: thing where it's a rumor, right where like you would

1054
01:00:32,440 --> 01:00:35,480
Speaker 1: never be like, hey, I heard Kanye made a fucking

1055
01:00:35,520 --> 01:00:38,240
Speaker 1: hologram of your dad and it spoke to you. First

1056
01:00:38,320 --> 01:00:40,120
Speaker 1: been like, oh, I'm not really going to speak on

1057
01:00:40,160 --> 01:00:42,560
Speaker 1: that and just let that be a let that be that,

1058
01:00:43,040 --> 01:00:46,080
Speaker 1: don't I don't know, Like again, I just when you

1059
01:00:46,080 --> 01:00:47,800
Speaker 1: also look at the replies in there, there's like so

1060
01:00:47,880 --> 01:00:50,720
Speaker 1: many weirdos with their class solidarity with her being like,

1061
01:00:50,880 --> 01:00:52,600
Speaker 1: I don't know what these people are talking about. Kim,

1062
01:00:52,680 --> 01:00:55,040
Speaker 1: Kanye is so sweet at Kanye West, you did a

1063
01:00:55,080 --> 01:00:57,880
Speaker 1: good job. Emoji e mogi moji and other people like

1064
01:00:57,920 --> 01:00:59,920
Speaker 1: one woman was like, I don't even know the man

1065
01:01:00,040 --> 01:01:05,160
Speaker 1: and I'm crying, and someone said, are you okay underneath that? Right?

1066
01:01:05,200 --> 01:01:06,880
Speaker 1: And then the person was like, what do you mean.

1067
01:01:06,960 --> 01:01:09,560
Speaker 1: They're like, because you've created some kind of paras social

1068
01:01:09,600 --> 01:01:11,360
Speaker 1: bond with a person you've never met, and now you're

1069
01:01:11,360 --> 01:01:14,080
Speaker 1: getting emotional on Twitter because some celebrity tweeted a video

1070
01:01:14,120 --> 01:01:16,120
Speaker 1: about it, and they're like, I don't know, you just

1071
01:01:16,160 --> 01:01:19,800
Speaker 1: have a good day and you're like, wow, OK, here's

1072
01:01:19,800 --> 01:01:23,480
Speaker 1: my thing. I don't know if Kim has any real friends,

1073
01:01:24,080 --> 01:01:27,000
Speaker 1: because I feel like a real friend one would have

1074
01:01:27,040 --> 01:01:29,280
Speaker 1: told her don't tweet that, or would have been the

1075
01:01:29,320 --> 01:01:32,120
Speaker 1: person she sent that too if they weren't there, which

1076
01:01:32,160 --> 01:01:35,720
Speaker 1: they shouldn't be, because she should be isolating from her

1077
01:01:35,720 --> 01:01:38,240
Speaker 1: friends like the rest of us, Like I haven't seen

1078
01:01:38,280 --> 01:01:41,160
Speaker 1: any of my friends since March and I miss them,

1079
01:01:41,760 --> 01:01:45,240
Speaker 1: but you know, I care if my mom lives, so

1080
01:01:45,800 --> 01:01:49,200
Speaker 1: I'm not gonna see them. But like, it just makes

1081
01:01:49,240 --> 01:01:52,800
Speaker 1: me think that she really doesn't have people who actually

1082
01:01:52,880 --> 01:01:55,120
Speaker 1: care about her. She has fans, and she doesn't have

1083
01:01:55,760 --> 01:01:57,720
Speaker 1: she she has like fans of followers, she doesn't have friends.

1084
01:01:58,880 --> 01:02:01,040
Speaker 1: I mean, her mom direct did a sex tape to

1085
01:02:01,040 --> 01:02:05,280
Speaker 1: get her famous, So that's directed her to release a

1086
01:02:05,320 --> 01:02:08,680
Speaker 1: sex tape. Yeah, not a lot of good advice. Again,

1087
01:02:09,040 --> 01:02:13,440
Speaker 1: like we're saying, when you have unlimited money and the ego,

1088
01:02:13,600 --> 01:02:16,600
Speaker 1: the size of the planet, or this sense of self

1089
01:02:16,640 --> 01:02:19,640
Speaker 1: importance that is like just far beyond what how normal

1090
01:02:19,760 --> 01:02:22,360
Speaker 1: or the you know, we're working people who are tethered

1091
01:02:22,440 --> 01:02:25,360
Speaker 1: to like the toil of like having to work. Are

1092
01:02:25,800 --> 01:02:28,880
Speaker 1: you just go into this other dimension? And I think

1093
01:02:29,040 --> 01:02:31,400
Speaker 1: she must be just also surrounded with people who are

1094
01:02:31,440 --> 01:02:34,240
Speaker 1: just as much who probably don't know a single person

1095
01:02:34,240 --> 01:02:37,800
Speaker 1: who's struggling in the pandemic, because then you would you

1096
01:02:37,840 --> 01:02:40,600
Speaker 1: would probably think about that person before tweeting. You're probably like, well,

1097
01:02:40,600 --> 01:02:43,160
Speaker 1: I don't know. I pay all my home staff very well.

1098
01:02:43,600 --> 01:02:46,160
Speaker 1: They're okay, and they haven't told me that things are bad.

1099
01:02:46,200 --> 01:02:48,560
Speaker 1: When I don't ask about it, so i'd imagine things

1100
01:02:48,600 --> 01:02:51,400
Speaker 1: for poor people are it is okay, Like it's this,

1101
01:02:51,960 --> 01:02:54,840
Speaker 1: I don't know that the installation of privilege is really

1102
01:02:54,840 --> 01:02:58,400
Speaker 1: something to see. It's also frustrating because I feel like

1103
01:02:58,640 --> 01:03:01,480
Speaker 1: there are a lot of reasons to hate Kim Kardashian

1104
01:03:01,880 --> 01:03:06,880
Speaker 1: and like the cultural vulture stuff, the complete loss of

1105
01:03:07,080 --> 01:03:10,840
Speaker 1: like a concept of reality and how people live, and

1106
01:03:10,920 --> 01:03:15,720
Speaker 1: just there's so many reasons, but people don't hate on

1107
01:03:15,760 --> 01:03:17,280
Speaker 1: her for the right ones. Like when she said she

1108
01:03:17,320 --> 01:03:19,120
Speaker 1: wanted to be a lawyer, I'm like, I think that's great.

1109
01:03:19,160 --> 01:03:20,760
Speaker 1: I don't think there's anything wrong with her wanting to

1110
01:03:20,840 --> 01:03:23,160
Speaker 1: be a lawyer. And I understand why she's trying to

1111
01:03:23,160 --> 01:03:25,760
Speaker 1: take this alternate path as opposed to going to law school,

1112
01:03:26,040 --> 01:03:29,480
Speaker 1: because can you imagine, like Kim Kardashian just sitting at

1113
01:03:29,560 --> 01:03:32,520
Speaker 1: u c L a law Like that's not happening the

1114
01:03:32,560 --> 01:03:34,200
Speaker 1: way that she has lived her life, it's going to

1115
01:03:34,240 --> 01:03:37,400
Speaker 1: be impossible. The way she would actually become a lawyer.

1116
01:03:37,520 --> 01:03:40,200
Speaker 1: Is the reason to hate her, not not her wanting

1117
01:03:40,240 --> 01:03:43,080
Speaker 1: to be but also like she does a lot of

1118
01:03:43,080 --> 01:03:46,960
Speaker 1: good for Armenian people and bringing awareness to Armenian genocide

1119
01:03:46,960 --> 01:03:49,720
Speaker 1: and the plight that Armenians still face today in terms

1120
01:03:49,760 --> 01:03:53,920
Speaker 1: of getting their genocide recognized. But people are like dumb

1121
01:03:54,000 --> 01:03:56,440
Speaker 1: Kim Kardashian and I'm like, girl, like not to be

1122
01:03:56,520 --> 01:04:00,160
Speaker 1: respectability politics, but you need to think about what are

1123
01:04:00,200 --> 01:04:03,240
Speaker 1: doing and how that can affect your goals. That's my thing. Like,

1124
01:04:03,560 --> 01:04:06,120
Speaker 1: I'm not saying she shouldn't be cute. I'm not saying

1125
01:04:06,160 --> 01:04:08,440
Speaker 1: she shouldn't have a beauty business. I think that's amazing.

1126
01:04:08,560 --> 01:04:11,760
Speaker 1: I think that, you know, having those businesses is not

1127
01:04:11,920 --> 01:04:14,560
Speaker 1: my issue with her. My issue with her is that

1128
01:04:15,160 --> 01:04:18,960
Speaker 1: she's not thinking about how people are perceiving some of

1129
01:04:19,000 --> 01:04:21,600
Speaker 1: the things she's doing and how that's going to negatively

1130
01:04:21,600 --> 01:04:24,840
Speaker 1: affect some of the changes he wants to make. And

1131
01:04:24,880 --> 01:04:27,600
Speaker 1: I'm like everybody else has to think about those things.

1132
01:04:27,600 --> 01:04:29,040
Speaker 1: Like I think about that all the time as a

1133
01:04:29,080 --> 01:04:33,280
Speaker 1: black woman. I'm like, if I sound angry in this tweet,

1134
01:04:33,480 --> 01:04:38,040
Speaker 1: it might ruin me in seventeen years. Yeah, And but

1135
01:04:38,080 --> 01:04:40,919
Speaker 1: then she can just call them boxer braids, and then

1136
01:04:40,960 --> 01:04:43,760
Speaker 1: she she just screwts around that one. Oh no, no,

1137
01:04:43,840 --> 01:04:46,120
Speaker 1: these these are boxer braids. I don't know where that

1138
01:04:46,200 --> 01:04:47,720
Speaker 1: term came from, but I don't think I's any to

1139
01:04:47,760 --> 01:04:51,400
Speaker 1: doing cultural appropriation. I have to go m hm Karama.

1140
01:04:51,480 --> 01:04:54,680
Speaker 1: It's been a pleasure having you on the daily. Where

1141
01:04:54,720 --> 01:04:58,520
Speaker 1: can people find you and follow you? People can find

1142
01:04:58,600 --> 01:05:01,480
Speaker 1: me on Twitter. I'm at Karama Drama k O r

1143
01:05:01,600 --> 01:05:04,240
Speaker 1: A m A d r A m A and also

1144
01:05:04,320 --> 01:05:07,000
Speaker 1: same on Instagram, but my Instagram page is super boring

1145
01:05:07,000 --> 01:05:10,280
Speaker 1: and I don't love Instagram, So follow me on Twitter

1146
01:05:10,320 --> 01:05:15,360
Speaker 1: instead because I like words and oh, they can listen

1147
01:05:15,400 --> 01:05:17,840
Speaker 1: to me. They can listen to me on my podcast

1148
01:05:18,160 --> 01:05:20,520
Speaker 1: Pop from book Club, which is an I Heart Radio podcast.

1149
01:05:20,600 --> 01:05:25,400
Speaker 1: We talk about books and their screen adaptations. Dana Schwartz, Yes,

1150
01:05:25,440 --> 01:05:29,840
Speaker 1: with Danna Schwartz, Jen Right and Uh and Melissa Hunter

1151
01:05:29,880 --> 01:05:32,240
Speaker 1: and Tian Tran, who is hilarious. I left Dan. She

1152
01:05:32,400 --> 01:05:35,040
Speaker 1: is not on Twitter, but she's great. Follow her on

1153
01:05:35,080 --> 01:05:37,880
Speaker 1: Instagram at Hank Tino. Is there a tweeter or some

1154
01:05:37,960 --> 01:05:42,040
Speaker 1: other work of social media you've been enjoying? Uh, so many,

1155
01:05:42,600 --> 01:05:45,480
Speaker 1: there have been people of black. Twitter has just been

1156
01:05:45,560 --> 01:05:48,280
Speaker 1: dragging low Wayne, But I don't want to talk about that.

1157
01:05:48,320 --> 01:05:50,240
Speaker 1: I want to talk about something that's a little less

1158
01:05:50,320 --> 01:05:56,000
Speaker 1: political that I enjoyed. Uh. There was somebody whose Twitter

1159
01:05:56,040 --> 01:05:59,880
Speaker 1: handle is at T three r R I a x O,

1160
01:06:00,040 --> 01:06:04,800
Speaker 1: which I think is terrri a XL. And they tweeted

1161
01:06:05,320 --> 01:06:08,640
Speaker 1: a news article from Pink News about how Sam Smith

1162
01:06:08,720 --> 01:06:11,760
Speaker 1: wants to be a mummy by thirty five, and they

1163
01:06:11,800 --> 01:06:14,360
Speaker 1: were confused because Sam Smith is talking about being a

1164
01:06:14,440 --> 01:06:17,680
Speaker 1: parent like a mom, but they thought that Sam Smith

1165
01:06:17,720 --> 01:06:21,960
Speaker 1: wanted to be mummified. That is the funniest thing I've

1166
01:06:21,960 --> 01:06:26,120
Speaker 1: ever read. It's just absurd. I think that I love

1167
01:06:26,160 --> 01:06:30,240
Speaker 1: miscommunication and like innocuous miscommunication, and I think that that,

1168
01:06:31,080 --> 01:06:34,800
Speaker 1: uh yeah, that was on I think Thursday that that happened,

1169
01:06:34,800 --> 01:06:39,240
Speaker 1: and it just made me smile. To be a mummy. Yeah.

1170
01:06:39,560 --> 01:06:42,320
Speaker 1: I also like the idea of Sam Smith walking into

1171
01:06:42,400 --> 01:06:45,440
Speaker 1: like an establishment and being like, oh, I've come in

1172
01:06:45,480 --> 01:06:48,040
Speaker 1: here because I would like to be a mummy, and

1173
01:06:49,840 --> 01:06:52,320
Speaker 1: you want like a fertility clinics like no, no, no,

1174
01:06:52,400 --> 01:06:54,560
Speaker 1: like the Tom Cruise film that used to be a

1175
01:06:54,560 --> 01:07:02,000
Speaker 1: Brandon Ranger film, like a mummy. Chine you and follow

1176
01:07:02,040 --> 01:07:05,360
Speaker 1: you what's tweet You've been enjoying Twitter? Instagram at Miles

1177
01:07:05,400 --> 01:07:08,160
Speaker 1: of Gray. Also the other podcast for twenty Day Fiance

1178
01:07:08,400 --> 01:07:10,640
Speaker 1: where we're just you know, token up talking about ninety

1179
01:07:10,680 --> 01:07:15,200
Speaker 1: day Fiance trying to avoid reality because ship's heavy and

1180
01:07:15,520 --> 01:07:17,919
Speaker 1: tweet I like is from a Reductress at it again

1181
01:07:17,960 --> 01:07:23,040
Speaker 1: at Reductress tweeting self care queen, this woman sometimes changes

1182
01:07:23,080 --> 01:07:25,840
Speaker 1: her bond water uh, and I was like, yeah, I

1183
01:07:25,920 --> 01:07:28,480
Speaker 1: feel that. I feel like I'm really I'm like, damn, like,

1184
01:07:28,520 --> 01:07:31,280
Speaker 1: look at you. What's your adult life changing your bond

1185
01:07:31,280 --> 01:07:37,840
Speaker 1: water everything? Five years? Uh tweet I enjoyed Noah Garf

1186
01:07:37,840 --> 01:07:42,360
Speaker 1: and Cole tweeted yesterday my girlfriend said Barry wis like

1187
01:07:42,440 --> 01:07:45,560
Speaker 1: Borat saying very nice and now it's my favorite part

1188
01:07:45,640 --> 01:07:50,400
Speaker 1: of the boy at the universe. You can find me

1189
01:07:50,440 --> 01:07:53,200
Speaker 1: on Twitter at Jack Underscore O'Brien. You can find us

1190
01:07:53,200 --> 01:07:55,600
Speaker 1: on Twitter at daily zeit Guys. Were at the Daily

1191
01:07:55,680 --> 01:07:58,880
Speaker 1: Zeit Guys on Instagram. We have a Facebook fan page

1192
01:07:59,560 --> 01:08:02,400
Speaker 1: and website daily zeit guys dot com, where we post

1193
01:08:02,480 --> 01:08:05,320
Speaker 1: our episodes and our footnotes where we link off to

1194
01:08:05,320 --> 01:08:07,720
Speaker 1: the information that we talked about in today's episode, as

1195
01:08:07,760 --> 01:08:10,840
Speaker 1: well as the song we ride out on Miles What

1196
01:08:10,920 --> 01:08:16,360
Speaker 1: are we riding into this election week? On oh Man,

1197
01:08:16,479 --> 01:08:18,679
Speaker 1: let's this is going to be a track by Hudson,

1198
01:08:18,720 --> 01:08:22,080
Speaker 1: Mohawk and s Type called the Rain. Uh. It's just

1199
01:08:22,120 --> 01:08:24,879
Speaker 1: a great beat because it has like a huge brass

1200
01:08:24,960 --> 01:08:29,240
Speaker 1: band like sample, but on top of that, the fantastic

1201
01:08:29,280 --> 01:08:31,360
Speaker 1: production of Hudson Mohawk and s type on top of

1202
01:08:31,360 --> 01:08:33,639
Speaker 1: it to give you a little bit more you know, upbeat,

1203
01:08:34,000 --> 01:08:37,120
Speaker 1: uh sort of electronic feel. And I don't know, it's

1204
01:08:37,120 --> 01:08:40,360
Speaker 1: just I love hearing big horns. And as you know, Jack,

1205
01:08:40,400 --> 01:08:42,479
Speaker 1: you've you've you know, Rocky, you know what I mean.

1206
01:08:42,520 --> 01:08:47,960
Speaker 1: You known big horns, big natural horns. Yeah, big big

1207
01:08:48,120 --> 01:08:52,200
Speaker 1: natural Yeah, yeah, you're you're referring to one of those

1208
01:08:52,240 --> 01:08:56,840
Speaker 1: like alpine horns that the guy's natural horns. Oh that

1209
01:08:56,960 --> 01:08:59,320
Speaker 1: was like versus a sharper a flat. That was like

1210
01:08:59,320 --> 01:09:01,760
Speaker 1: a high level music theory. Joe, Oh you went there.

1211
01:09:01,800 --> 01:09:08,559
Speaker 1: Oh wow, sorry was diminished. Yeah, let me augment that

1212
01:09:08,680 --> 01:09:11,880
Speaker 1: with this one. Uh, this will be yeah, look I was,

1213
01:09:12,120 --> 01:09:14,920
Speaker 1: I was in Marching Band two. Uh so yes, this

1214
01:09:14,960 --> 01:09:17,360
Speaker 1: has just great energy. I figured we need every little

1215
01:09:17,360 --> 01:09:19,719
Speaker 1: thing we can do to have our heart hearts racing

1216
01:09:19,720 --> 01:09:21,639
Speaker 1: in a positive way and not in a stressful way.

1217
01:09:21,680 --> 01:09:27,360
Speaker 1: So yeah, guys, uh, buckle up because it's going down tomorrow.

1218
01:09:27,560 --> 01:09:33,559
Speaker 1: Let's it's got mess around and find out is what

1219
01:09:33,600 --> 01:09:37,320
Speaker 1: we are all going to do tomorrow? Um, all right,

1220
01:09:37,640 --> 01:09:39,439
Speaker 1: what are we gonna do. Are we gonna just like

1221
01:09:39,520 --> 01:09:43,120
Speaker 1: drop trending episodes like throughout the day? We gotta figure

1222
01:09:43,160 --> 01:09:45,120
Speaker 1: that out. I don't know. We'll have to We'll stay tuned,

1223
01:09:45,160 --> 01:09:46,920
Speaker 1: We'll we'll have something going on. Maybe we'll have to

1224
01:09:47,080 --> 01:09:49,479
Speaker 1: go on Twitch or something and we can brough multiple

1225
01:09:49,520 --> 01:09:53,960
Speaker 1: trending episodes might be good. Yeah, yeah, alright, guys, stay safe,

1226
01:09:54,400 --> 01:09:57,080
Speaker 1: stay sane. Yeah, I don't know what. I don't know

1227
01:09:57,160 --> 01:10:01,040
Speaker 1: what advice to give you a point steal your show still,

1228
01:10:01,280 --> 01:10:05,000
Speaker 1: I mean, and you know what, either way, the fucking

1229
01:10:05,120 --> 01:10:08,800
Speaker 1: marathon has to continue. That's that's that's the thing. I mean.

1230
01:10:09,080 --> 01:10:11,479
Speaker 1: But one version is way more fucked up than the other.

1231
01:10:11,520 --> 01:10:13,800
Speaker 1: They're both sucked up though, let's not get that twisted. Um.

1232
01:10:13,880 --> 01:10:17,360
Speaker 1: But uh yeah, just there's a lot of work to

1233
01:10:17,400 --> 01:10:21,439
Speaker 1: do either way. Yeah. Down ballot, it's all about down

1234
01:10:21,439 --> 01:10:27,000
Speaker 1: ballot local representatives. Those propositions, some of those are serious. Yeah,

1235
01:10:28,800 --> 01:10:30,800
Speaker 1: you're in the state of California. I can't even I

1236
01:10:30,840 --> 01:10:34,519
Speaker 1: can't even talk about property right now. If you're in California, yes,

1237
01:10:34,520 --> 01:10:35,920
Speaker 1: I'll measure j if you live in l A County.

1238
01:10:36,680 --> 01:10:39,320
Speaker 1: The Daily Ze, guys, the production of My Heart Radio

1239
01:10:39,439 --> 01:10:41,760
Speaker 1: for more podcasts for my Heart Radio, visit the heart

1240
01:10:41,840 --> 01:10:44,160
Speaker 1: Radio app, Apple podcast, or wherever you listen to your

1241
01:10:44,160 --> 01:10:47,960
Speaker 1: favorite shows. That's gonna do it for this morning. We'll

1242
01:10:48,000 --> 01:10:50,040
Speaker 1: be back this afternoon to tell you what's trending and

1243
01:10:50,040 --> 01:11:22,200
Speaker 1: won't talk to you all that screen se