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Speaker 1: Hello the Internet, and welcome to this episode of The

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Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments

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Speaker 1: from this week, all edited together into one NonStop infotainment

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Speaker 1: laugh stravaganza. Uh yeah, So, without further ado, here is

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Speaker 1: the Weekly Zeitgeist really jam before we get to any

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Speaker 1: of that, what's something from your search history that will

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Speaker 1: allow us to judge you? Oh wow, Well, yeah, I

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Speaker 1: guess you can judge me for this new tone on

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Speaker 1: the topic. Yeah, we have your search history right here,

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Speaker 1: and it says I I have been watching, uh a

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Speaker 1: lot of murder, she wrote this fall. Hell, yeah, it's

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Speaker 1: a lot of anxiety. Yeah, it's yeah, there's two because

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Speaker 1: I was really trying to unpack why I find it

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Speaker 1: so calming. I think it's because you can watch an

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Speaker 1: episode and everything gets solved in you know, forty two

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Speaker 1: minutes or whatever. Yeah, and you don't live where the

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Speaker 1: murder rate is the highest in the entire history of

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Speaker 1: the world of any town US a week, everyone in

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Speaker 1: that town is having an affair with everyone else, everyone's

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Speaker 1: plotting to kill someone. It's it's the worst place to live.

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Speaker 1: But yeah, I find it's very calming. Oddly, and also,

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Speaker 1: like I find like my anxiety about like aging and

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Speaker 1: mortality are oddly soothed by it because you think about

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Speaker 1: Angela Lansbury, like she's been she's still alive and she's

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Speaker 1: been an old lady my entire life. She's still alive.

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Speaker 1: It's wild man. She even she came here to Toronto

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Speaker 1: and did like a stage show, like a play a

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Speaker 1: few years ago, and I wish I had gone now.

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Speaker 1: But Angela Lansbury is still alive. Yeah, I mean, I

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Speaker 1: hope nothing happens between when we record this in one

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Speaker 1: day and she's wow, wow, good on you, Angela. So

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Speaker 1: yeah that that that makes me happy. So I've been

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Speaker 1: watching British wrote I think I tweeted something out about it,

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Speaker 1: and someone responded, uh, that's Angela Lansbury's daughter used to

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Speaker 1: hang out with Charles Manson. So I googled that. That

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Speaker 1: was something that I felt I had to look into it.

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Speaker 1: It was just something she like dropped in an interview

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Speaker 1: for no reason. She just brought up like Charlie. Oh yeah, yeah,

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Speaker 1: we used to kick it with Charlie. Yeah, I remember

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Speaker 1: we were all writing songs together for a little bit.

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Speaker 1: To shame, those albums never got traction but have you

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Speaker 1: heard those manson family recordings? It's like shitty Beach Boys.

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Speaker 1: It's like, yeah, it's like boys written by Yeah, well

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Speaker 1: they did one. He was hanging out with one of them. Yeah, Dennis.

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Speaker 1: Yeah Haysbert or a superproducer on it, hasn't he called

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Speaker 1: him Dennis Dennis Hazelberger. Yeah, what's funny? How and this

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Speaker 1: is a complete aside. How our idea of Dennis Haysbert

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Speaker 1: has evolved over time based on how old you are, Like,

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Speaker 1: if you're consuming eighties media, you know him from Major

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Speaker 1: League J and I used to just think he was

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Speaker 1: Joe Boo, not even Pedro Serrano, which was his actual

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Speaker 1: player name, but Joe Boo, the idol. He would all

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Speaker 1: kinds of funked up and problematic um. And then after

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Speaker 1: that when he was on twenty four and I was like,

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Speaker 1: oh my god, Joe Boo's working still, and then people

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Speaker 1: like Dennis Haysbert is putting in a performance, like, oh

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Speaker 1: ship Dennis Haysbert. But then some people only know him

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Speaker 1: as the All State guy. Yeah, yeah, I don't know

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Speaker 1: he's Dennis Haysburg. Dave Chappelle played him in a sketch

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Speaker 1: over the Weekend, which is why we were talking about it.

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Speaker 1: M hmm. It was pretty funny. Yes, he had like

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Speaker 1: a voice changer. Oh, by the way, have you seen

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Speaker 1: the original the Manchurian candidate. Lansbury is in very pretty

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Speaker 1: but also playing like an older woman in for in

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Speaker 1: nineteen sixty two. She's playing like it's not like she's

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Speaker 1: like a young like you know, the love interest. She's

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Speaker 1: the love interest of the older politician and like she

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Speaker 1: pulling the strings behind the scenes. She was only like

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Speaker 1: ten years older than Laurence Harvey who played her son

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Speaker 1: that movie. Yeah, they still had since she had old

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Speaker 1: lady energy back then. Yeah. Oh she was his mom,

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Speaker 1: not his wife. Yeah, I think she was his mom,

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Speaker 1: fild that's right, because he was like a young soldier. Yea.

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Speaker 1: What is something you think is underrated? Solar energy? Okay, okay,

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Speaker 1: yeah yeah, Um it's cheap right now, right, Like it's

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Speaker 1: cheap to get it installed and the sun just comes

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Speaker 1: out and the technology is catching up where it doesn't

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Speaker 1: they don't need like a bazillion of them to run

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Speaker 1: your house, right. I remember when I was like, uh,

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Speaker 1: back in the campaigning days, there's a ballot proposition I

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Speaker 1: was working on back in two thousand and eight to

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Speaker 1: try and get more renewables in the state, and like

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Speaker 1: one of our you know, sort of case studies, we

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Speaker 1: had to be like, no, y'all don't understand, like solar

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Speaker 1: is fucking way more efficient. We don't have to burn

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Speaker 1: fucking coal or you know, blow off mountaintops to get

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Speaker 1: this ship. And just you know, it's the sun and

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Speaker 1: we have deserts here in California where you know, at

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Speaker 1: the time, the technology was something like, uh like a

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Speaker 1: ten mile ten square miles solar farm in the desert

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Speaker 1: could have powered like most of the state and Oregon

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Speaker 1: in Washington. Uh, you know, if we had actually just

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Speaker 1: had an updated transmission grid and things like that. But

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Speaker 1: the problem is our grid is still fucking archaic, uh

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Speaker 1: in certain parts of the countries. And that's one of

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Speaker 1: the things that really holds back our ability to transmit

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Speaker 1: this newer kind of energy. Yeah. Do you think that

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Speaker 1: fossil fuel companies Probably no that and then that's why

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Speaker 1: they uh by politicians to prevent that. It was funny

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Speaker 1: because we got this oil guy uh t Boon Pickens, Yeah, yeah,

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Speaker 1: Teboon Pickens was basically one of the big, big cheerleaders

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Speaker 1: for it, because he was just smart enough to be like, now,

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Speaker 1: the money's gonna be in renewables, Like I know where

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Speaker 1: I came from, but if I'm looking at this ship

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Speaker 1: down the road, like there's a ticking clock on on

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Speaker 1: on this fossil fuel ship, and the real money's going

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Speaker 1: to be in renewables. So we were like, he like

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Speaker 1: he helped be sort of like we would point him like,

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Speaker 1: you know this guy, you know he might he might

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Speaker 1: also know about the solar stuff to get people who

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Speaker 1: are a little bit more uh, I guess, you know,

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Speaker 1: reluctant about how viable the energy source was. Oh I

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Speaker 1: got hammered years ago in a airport bar with a

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Speaker 1: bunch of wind so wind and solar dudes, and this

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Speaker 1: guy was just too He's like, yeah, we knew that

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Speaker 1: that the oil people called on to the future because

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Speaker 1: it used to be just a bunch of hippies at

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Speaker 1: this convention and now motherfucker's in suits are everywhere. Keepings

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Speaker 1: that's interest just the greatest name for oil billionaire t

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Speaker 1: Boone Pickings. He owns a two hundred and fifty million

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Speaker 1: dollar ranch in Texas that has levels it's like on

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Speaker 1: top of a wedding cake of landscaping. Um, it's pretty

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Speaker 1: dope looking. Uh. Is there a musician named t T

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Speaker 1: Bone something? Now you're thinking a T Bone Burnett who

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Speaker 1: keep Bone Burnett always called him T Bone Pickens because

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Speaker 1: I had heard both those names and uh mashed them

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Speaker 1: together in my brain. Um, what is some T bone

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Speaker 1: to the basis from halland Oates? I don't think I

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Speaker 1: am little from experience. Your name is Tony and you're cool.

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Speaker 1: He was also in the SNL band Jam you you

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Speaker 1: dove in and did some research into this conspiracy theory

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Speaker 1: that's starting to crop up more and more. That's called

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Speaker 1: the Hammer or it's around a computer, a supercomputer called

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Speaker 1: the Hammer, and a piece of software called the Scorecard

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Speaker 1: that comes from this dude, Dennis Montgomery, who was a

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Speaker 1: fascinating figure I didn't know about. Yeah, I mean neither.

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Speaker 1: I thought this was really fascinating. He he runs, of

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Speaker 1: course we know now he runs the deep State computer

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Speaker 1: that hacked all the votes and gave Biden the wind,

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Speaker 1: which is called the Hammer, and I guess the software

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Speaker 1: is called, uh the scorecard. But yeah, I guess this

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Speaker 1: will pick up traction like Bannon and people have been

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Speaker 1: talking about it on podcasts, and like I searched on Twitter,

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Speaker 1: and certainly there are a lot of like either bots

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Speaker 1: or you know, sort of all right trolls tweeting about

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Speaker 1: about the hammer. But so it's it's all kind of

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Speaker 1: based on the idea that this whistleblower, Dennis Montgomery, who

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Speaker 1: used to be like a c I a kind of

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Speaker 1: contractor UH was was kind of blowing the lid off

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Speaker 1: of this hammer UH computer narrative. But like it's so

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Speaker 1: easy to just look him up, Like he has a

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Speaker 1: Wikipedia page that just has all of these crazy uh

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Speaker 1: exploits that he has been involved with. Like the the

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Speaker 1: wackiest one was after nine eleven in the early two

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Speaker 1: thousand's he got more than twenty million dollars in government

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Speaker 1: contracts for his patented software that would quote fine terrorist

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Speaker 1: plots in uh hidden in broadcasts on Al Jazeera. That's

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Speaker 1: oh he got how much weight? The government paid him

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Speaker 1: more than twenty million dollars too. He said, like you

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Speaker 1: could like freeze Al Jazero shows and like decode the

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Speaker 1: pixels on the TV that would give you times and

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Speaker 1: coordinates for where to find the next terrorist plot. And

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Speaker 1: this wasn't just like a random thing. They paid money

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Speaker 1: for it and didn't like he the advice of like

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Speaker 1: flights were grounded as a result of this, like a

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Speaker 1: counter terrorist operation uh went through on Obama's inauguration day

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Speaker 1: apparently because of this, Like and it was just obviously

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Speaker 1: a total scam, Like it's a con. Shit that's so

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Speaker 1: brilliant though of like weaponizing Islamophobia for your con job.

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Speaker 1: It's almost like what Yasa or Leicester does with like

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Speaker 1: fedoras for freedom about being like watch this, I'll tell

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Speaker 1: these white people were a fedora to show your an

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Speaker 1: ally of the Black Lives Matter moment, Like I'll weaponize that.

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Speaker 1: And this one's like oh yeah, just so you know,

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Speaker 1: because you have you're so afraid of of of Muslims

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Speaker 1: that I have a thing that will de scramble their

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Speaker 1: TV shows and reveal the hidden message because you already

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Speaker 1: are so fucking are gone that you're like, yep, that's

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Speaker 1: like the glasses and they live. They just like to

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Speaker 1: show you the reality. So people said about like the

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Speaker 1: devil working through he Man when we were kids, The

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Speaker 1: devil does work through he Man. Okay, yeah yeah, And

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Speaker 1: there's like other things like he was keep it moving

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Speaker 1: jam Let's the Devil does work. Okay, he was like

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Speaker 1: a confidential informant for for Sheriff Joe or Pio, who

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Speaker 1: like conned him out of a hundred and twenty dollars

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Speaker 1: claiming too Yeah, exactly, Uh, using his supercomputer to to

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Speaker 1: prove a conspiracy between like the judge and his racial

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Speaker 1: discrimination case and and the prosecutor. Uh. And then he

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Speaker 1: was also lifting desperate racists. Yeah, this guy's kind of

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Speaker 1: a hero. Yeah, it's kind of amazing. Really, I mean,

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Speaker 1: I don't know why this isn't like a podcast or

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Speaker 1: a mini series or something unbelievable. I can't believe that

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Speaker 1: this guy actually exists and has gotten that rich off

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Speaker 1: of this stuff. So how does he now factor into

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Speaker 1: the this election? Well, you see, the main ingredient in

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Speaker 1: all of these is that he has a supercomputer called

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Speaker 1: the Hammer that he's able to use to decoupee. He's

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Speaker 1: been using the Hammer. He created the Hammer a long

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Speaker 1: time ago. He's he's a computer god, Tony Stark, and

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Speaker 1: he has been using the Hammer to like dig into

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Speaker 1: all this information and decode Al Jazeera. And now yeah,

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Speaker 1: now he's claiming that they I think he's claiming that

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Speaker 1: they used his computer to steal the election, and now

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Speaker 1: he's like blowing the whistle, Is that right, jam, Yeah, yeah, exactly, Yeah,

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Speaker 1: And there's even more stuff, there's even more stories. But yeah,

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Speaker 1: it's it's worth reading about because just fascinating and just

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Speaker 1: also like the idea that he's one of the at

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Speaker 1: least like his his kind of theories are are one

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Speaker 1: of the conspiracies that people are using this selection when

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Speaker 1: there's just so many examples of him literally using the

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Speaker 1: same supercomputer narrative in these cons It's it's amazing, it's hilarious,

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Speaker 1: and yeah, please please make this a mini series with

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Speaker 1: Paul Giamatti or someone I. The one thing is, I

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Speaker 1: don't think anyone would like the people who are buying

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Speaker 1: into the idea that Biden used the supercomputer to steal

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Speaker 1: the election are probably not skeptical of the idea that

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Speaker 1: he could use his supercomputer to decode Al Jazeera and

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Speaker 1: uh find out like the coordinates of the next terratach

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Speaker 1: like that that's true. Yeah, Yeah, they're probably just like, yeah,

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Speaker 1: of course, man, this guy's a credible source. He's the

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Speaker 1: guy who found stopped all those terrator x in that

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Speaker 1: reality because their lives are so boring. All of the

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Speaker 1: data is out there for them to solve crimes from

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Speaker 1: the comfort of their homes, you know what I mean.

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Speaker 1: It's like it's actually you just pause al Jazera and

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Speaker 1: you look at that, and that's how you save the country. Actually,

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Speaker 1: if you just go to this pizza restaurant and check

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Speaker 1: out the basement, uh, you might be able to stop

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Speaker 1: a child trafficking ring. Actually, if you just look at

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Speaker 1: the first letter of each word in this article as

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Speaker 1: spells out the storm is coming. Therefore, it's like wow,

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Speaker 1: So if if nothing requires expertise, then everyone's an expert.

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Speaker 1: And that's like the real danger with all this ship.

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Speaker 1: It does feel like all these conspiracies are coming from

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Speaker 1: someone just like looking around their room trying to say, like, uh,

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Speaker 1: there's a pizza pizza parlor conspiracy and TV and right,

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Speaker 1: it's just like shitty verbal kent from usual suspects. Yeah, yeah,

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Speaker 1: I mean that's literally what they did, because like the

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Speaker 1: Pizza Gate conspiracy came from a email dump, right, So

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Speaker 1: like they the Wicked Leaks email dump, and they just

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Speaker 1: went through the random, boring, monotonous day to day ship

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Speaker 1: that people email about and like crafted a conspiracy out

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Speaker 1: of that. All right, let's take a quick break. We'll

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Speaker 1: come back, and we're back. So there, there's an article

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Speaker 1: in the Houston Chronicle that is, you know, quoting insiders

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Speaker 1: who say that, like the the Washington elite is very

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Speaker 1: nervous about what Trump is going to be like as

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Speaker 1: a ex president. Above all things, he is a x

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Speaker 1: O x O gossip girl. He does love the t

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Speaker 1: He's still talking about how bad the Vanity Fair Party

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Speaker 1: was that he didn't get invited to UM like two

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Speaker 1: years ago after the Oscars, And he's gonna exit office

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Speaker 1: with all the intel that they let him get his

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Speaker 1: brain on, and like, you know, no fox to give,

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Speaker 1: which has always been the case. But I don't know.

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Speaker 1: I feel like you put him in a room with

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Speaker 1: any one of us in a bugs bunny lady disguise,

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Speaker 1: and I bet we could get him to tell us

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Speaker 1: who really killed JFK with like just some very light

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Speaker 1: nagging and showing a little thigh. Here's my problem. Here's

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Speaker 1: my problem with that. You have to have a working

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Speaker 1: understanding of how all that works to truly know what

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Speaker 1: the truth is, especially JFK. Right, Yeah, that's that dude,

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Speaker 1: doesn't he could tell us probably the name of the

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Speaker 1: dudes that pulled the triggers because they told him, but

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Speaker 1: like who those dudes were, who they were connecting, Like,

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Speaker 1: there's no way he knows. And I think they've been

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Speaker 1: letting the alien stuff out his whole presidency just because

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Speaker 1: they're prepared us. Yes, because they're like, he's gonna say

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Speaker 1: some stupid so we've got to just be able to

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Speaker 1: just like, listen, there are some stuff we don't know about.

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Speaker 1: You guys are right. What he's gonna say is not true.

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Speaker 1: So here's just we're just gonna spoon. He's gonna claim

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Speaker 1: he rode in one of those ships. He's like, you

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Speaker 1: should have seen, you know, they let your right into stuff.

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Speaker 1: And we were out there going bing bing bing around.

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Speaker 1: It was really it was fucking tight. Man. Again, I

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Speaker 1: can't tell you enough. Um, Yeah, I guess that or

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Speaker 1: a neuralizer or you know, we'll we'll find out some

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Speaker 1: wild ship. I guess he won't suddenly be trustworthy, So

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Speaker 1: that's one thing. It's not like we'll suddenly believe what

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Speaker 1: he has to say. I think he also, the way

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Speaker 1: he beat COVID is probably going to reveal some medical

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Speaker 1: stuff that only fucking, really really rich people know about.

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Speaker 1: He didn't about. Yeah, they just hooked. There was a

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Speaker 1: baby hooked up to an ivy and then he was

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Speaker 1: on the other end of that ivy. Um. Yeah, what

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Speaker 1: is he? I mean between his like just his march

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Speaker 1: into sinility and things, I'm curious how it, you know,

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Speaker 1: because he is going to do some ship like that.

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Speaker 1: He's like, Oh, why don't we talk about this thing

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Speaker 1: that I when I was president, Because he's actually gonna

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Speaker 1: be this guy who was the president who has a

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Speaker 1: fun because like a Twitter idiot. Now who's just gonna

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Speaker 1: be like just wholesale, like say, some weird fucking thing.

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Speaker 1: And how they get around that. I'm it's really hard

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Speaker 1: to know. I feel like if he's smart, he monetizes

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Speaker 1: is the like the fact that he has this information

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Speaker 1: and tries to like create some kind of like subscription

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Speaker 1: Patreon podcast something was like the T report with Donald

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Speaker 1: T about other things that went down at Thanks guys

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Speaker 1: and shout out to our sponsors my pet for having us.

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Speaker 1: You know, like I think that's that seems like a

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Speaker 1: way to continue like give like he can play that

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Speaker 1: ship for more attention. At some point, he's like, yeah,

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Speaker 1: I feel like that's attention is exactly right. He's going

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Speaker 1: to be at his most dangerous not when like he's

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Speaker 1: in trouble or like broke. It's gonna be when people

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Speaker 1: stop paying attention to him, because that's when he's going

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Speaker 1: to go in on on Twitter and like starts you know,

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Speaker 1: dropping bombs, telling uh, telling people things he shouldn't. I

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Speaker 1: could also see, like you know how he's gonna have

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Speaker 1: like a kin Lay heart attack too, right right, that's

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Speaker 1: do you think ken Lay? Now? What is your so

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Speaker 1: ken Lay was the Enron CEO or president who uh wow,

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Speaker 1: like as everybody was figuring out exactly how much Enron

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Speaker 1: was a pyramid scheme, had a heart attack and had

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Speaker 1: the most convenient heart attack and history of the world,

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Speaker 1: do you think that that was ken Lay just kind

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Speaker 1: of disappearing. Yeah, when you steal that much money? Yeah, yeah,

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Speaker 1: you go oh bye. He's too narcissistic to fake his

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Speaker 1: own death. I think who Trump? Trump? I think okay,

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Speaker 1: I was like yeah, no, no Trump. I think would

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Speaker 1: would do it, but like two days he would show

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Speaker 1: up at his own funeral if he wouldn't be able

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Speaker 1: to resist, and like, yeah, is that who I got

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Speaker 1: with me. It's like, who's that blonde woman? It's John

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Speaker 1: Bennett Ramsey and you believe it. Look at her. She's

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Speaker 1: sucking hot huh and likes out of here. Please, what

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Speaker 1: the fun is this? I could also see the way

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Speaker 1: that Obama and other former presidents sell out to corporations

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Speaker 1: and just you know, like having them in the pocket

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Speaker 1: of a corporation is incredibly valuable. I can see Trump

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Speaker 1: doing that with foreign dictators, like oh my, yeah, my,

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Speaker 1: My whole guess is he bounces because he can't stay

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Speaker 1: in America because they'll arrest him for like hundred million things. Yeah.

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Speaker 1: I could definitely see a Putin relationship that. No, I

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Speaker 1: think it's I think it's too cold, he's old. I

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Speaker 1: think he's going to Dubai uh huh, or the I

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Speaker 1: think he's hanging out there. It's just a great place

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Speaker 1: to be. He'll do signings, yes, like all those other billionaires.

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Speaker 1: It's I mean, I tweeted this, but it is Arizona

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Speaker 1: for criminal billionaires, is right, right, Yeah, it's everything's gold

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Speaker 1: and awful. It's just perfect for him. Wow, Yeah, Dubai

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Speaker 1: is really But then he'll be like he's like I

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Speaker 1: don't know, man, it's kind of expensive. You should see

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Speaker 1: what they're trying to charge me for a ment here

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Speaker 1: because aaire No, he would be a garbage person there.

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Speaker 1: He doesn't have real money. Yeah, but that's why I think,

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Speaker 1: like the way that putin like parks billions of dollars

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Speaker 1: with the people around him, I could see him cozy

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Speaker 1: enough to putin to try and get some of that

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Speaker 1: some of that free laundering money. Well that's yeah, that's

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Speaker 1: that they still need that name. Now. My fascination is

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Speaker 1: why the kids are still in this country. It's because

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Speaker 1: they don't understand the hammer. They're dumb. They're dumb, right,

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Speaker 1: they think like the like break them out of jail,

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Speaker 1: like the scene and swat like fucking bust taking him

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Speaker 1: to fucking court. It's like that was US three. You'd

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Speaker 1: be like that being lauding jet flying out of town.

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Speaker 1: Yeah you're not eleven, that's exactly what that. Yeah, bye,

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Speaker 1: I would have been out Monday before the election. I'm like,

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Speaker 1: I don't even fuck that tomorrow tomorrow. Oh wait, you

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Speaker 1: said record turnout for mailing already. Okay, yeah, I'm about

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Speaker 1: of here. No fucking stuffed animals behind we gotta get

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Speaker 1: the funk out of here. No I need that Louis

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Speaker 1: Vuitton trunk yet, that's that's all I need. It's like

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Speaker 1: the fucking anyway. It's a sad state. But again with

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Speaker 1: this thing is he can't be seen as a like

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Speaker 1: a loser. And that's really all the reports you read

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Speaker 1: about everything to do with this like dragging on transition

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Speaker 1: is all to do with managing his like idea of

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Speaker 1: or his fear of being painted as a loser in

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Speaker 1: this election, and that like, as they say, all this

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Speaker 1: scrambling is about him getting over this first, and yeah,

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Speaker 1: it's all mentally like giving him a life fest. Like

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Speaker 1: the Bill Barr thing is in particular is pretty interesting

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Speaker 1: because it's basically Bill Barr being like, you're allowed to

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Speaker 1: investigate if there's stuff to investigate, but not committing to it.

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Speaker 1: So it's very similar to Mitch McConnell's statement where he's

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Speaker 1: in every right to look at his legal options there

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Speaker 1: are cases of and that they're all using that as

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Speaker 1: like a you know, if there's fraud then he should

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Speaker 1: look into it, but you know, because there's not fraud

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Speaker 1: then but he still gets to feel it's like he's

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Speaker 1: a little kid and he's sitting on the dock and

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Speaker 1: his his fishing pole in his line is in the

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Speaker 1: middle of a dry pond. It all is and all

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Speaker 1: is well. If it's Biden, well his whole thing is.

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Speaker 1: You know, in the beginning, people were not sure where

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Speaker 1: the d o J was going to go with this.

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Speaker 1: Just how far is Bill Barr willing to go? And

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Speaker 1: you know he did this last time, Like the last

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Speaker 1: year was spent with him going on a fun in

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Speaker 1: expedition to try and find some evidence of impropriety that

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Speaker 1: the president was fucking violated when the intelligence organizations were

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Speaker 1: looking into any foreign interference and like that's what they're like,

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Speaker 1: we need that to negate all the Russia stuff, and

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Speaker 1: then we can say that like he was treated unfairly.

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Speaker 1: Please and then maybe that one narrow carter page fives

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Speaker 1: a thing. We'll we'll hang on to that too, and

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Speaker 1: maybe we can just disprove everything. Remember they found fuck

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Speaker 1: all even though they did everything they could. Durham his

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Speaker 1: like man, his attorney from the from from d o J,

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Speaker 1: did everything it could, but in the end was like, yo,

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Speaker 1: we can't find a fun like honestly, like there's nothing here,

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Speaker 1: like these people just did their job based on the

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Speaker 1: evidence that we're looking at the same ship. So it's like, okay,

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Speaker 1: this is the same thing, but this is even just

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Speaker 1: like lamer because he's not even like all this was

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Speaker 1: is sort of articulating a new policy. And even then

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Speaker 1: it gets very very detailed in that it's sort of

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Speaker 1: more like, you know, if it has to be credible,

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Speaker 1: it can't be fanciful and fucking stupid, Like he's already

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Speaker 1: even defining like it's got to be legit, Like don't

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Speaker 1: you can't even fucking go off of some ship. Some

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Speaker 1: person on one American News forwarded you a fucking chain

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Speaker 1: email about like it has to be fucking substantive and

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Speaker 1: also have potential to change the outcome of the election,

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Speaker 1: which none of these things do. So it really is

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Speaker 1: like a I think, you know whatever, if it's bar

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Speaker 1: like is really trying at the very least or most

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Speaker 1: is that it just gives Trump this ability to be like, look,

425
00:26:38,640 --> 00:26:41,320
Speaker 1: I didn't lose loocause do you see what DJ is doing,

426
00:26:41,600 --> 00:26:45,240
Speaker 1: Bill Barr. He's saying he's allowing people to look into fraud,

427
00:26:45,520 --> 00:26:48,840
Speaker 1: So I'm not actually a loser. It's all because he

428
00:26:48,880 --> 00:26:51,440
Speaker 1: can't say I lost. All he needs to do. They're

429
00:26:51,440 --> 00:26:55,480
Speaker 1: giving him legal is what they're doing, right, because it

430
00:26:55,480 --> 00:27:00,760
Speaker 1: doesn't actually solve your problems. It does are just like, man,

431
00:27:00,880 --> 00:27:04,040
Speaker 1: I'm not freaking out about how owned I got right

432
00:27:04,080 --> 00:27:08,879
Speaker 1: now and also what I do last night exactly. And

433
00:27:08,920 --> 00:27:11,960
Speaker 1: then it's like it's like it's it's it's like if

434
00:27:11,960 --> 00:27:17,520
Speaker 1: a bear is inside your condo in the woods, okay,

435
00:27:17,800 --> 00:27:22,480
Speaker 1: and you're like, all right, let's just tranchuilize him and

436
00:27:22,480 --> 00:27:25,120
Speaker 1: then once he finally falls asleep, and it will take

437
00:27:25,160 --> 00:27:28,760
Speaker 1: a couple of weeks, but then we can move him

438
00:27:28,760 --> 00:27:33,520
Speaker 1: out completely. Right. He's just he's one I don't yeah,

439
00:27:33,560 --> 00:27:36,000
Speaker 1: and they're like there's expensive stuff in there, and there's

440
00:27:36,000 --> 00:27:39,359
Speaker 1: that red button. He still doesn't understand what the power

441
00:27:39,400 --> 00:27:42,399
Speaker 1: of that red phone. Thank god, there's just like a

442
00:27:43,480 --> 00:27:45,920
Speaker 1: keeps picking it up and asking for a diet coke.

443
00:27:46,720 --> 00:27:49,679
Speaker 1: And thank god he can't read because those things we

444
00:27:49,800 --> 00:27:56,040
Speaker 1: deliver to him every morning. Good secrets. I said that

445
00:27:56,200 --> 00:27:58,959
Speaker 1: three years ago, was like, if he just on, you

446
00:27:58,960 --> 00:28:02,600
Speaker 1: can tell he's a bad business person, just because from

447
00:28:02,640 --> 00:28:07,119
Speaker 1: that information alone, if you knew how to do business

448
00:28:07,240 --> 00:28:13,000
Speaker 1: good right. The thing that's also really just sad or

449
00:28:13,040 --> 00:28:16,600
Speaker 1: you know, whatever, we can celebrate. They're so these lawsuits too.

450
00:28:16,680 --> 00:28:18,960
Speaker 1: Like the reason Bill Barr is coming in is because

451
00:28:19,000 --> 00:28:22,400
Speaker 1: the lawsuits from the campaign are fucking just failing left

452
00:28:22,400 --> 00:28:26,879
Speaker 1: and right. Like they they hedge their bets with voters suppression.

453
00:28:26,920 --> 00:28:29,960
Speaker 1: That's really what was going on. They were hoping voter

454
00:28:30,040 --> 00:28:33,080
Speaker 1: suppression was all they needed to eke out those margins

455
00:28:33,119 --> 00:28:35,840
Speaker 1: on election day, and then their backup plans of like

456
00:28:35,920 --> 00:28:39,120
Speaker 1: more crude fuckory they didn't even set up legally with

457
00:28:39,280 --> 00:28:42,240
Speaker 1: enough time like to whether change like the how the

458
00:28:42,240 --> 00:28:44,760
Speaker 1: electors were chosen and things like that. All that's out

459
00:28:44,800 --> 00:28:46,840
Speaker 1: the windows. So now they're just dealing with like these

460
00:28:46,880 --> 00:28:51,520
Speaker 1: really lame fucking lawsuits like in Arizona, where so much

461
00:28:51,640 --> 00:28:53,640
Speaker 1: energy is being spent from the right to be like,

462
00:28:53,840 --> 00:28:56,040
Speaker 1: I don't know, you know, it's really close. Biden is

463
00:28:56,080 --> 00:28:59,080
Speaker 1: ahead by fourteen thousand votes at the moment in Arizona.

464
00:28:59,560 --> 00:29:03,440
Speaker 1: Here's my fears. What happened was they they were going

465
00:29:03,480 --> 00:29:05,800
Speaker 1: to get sailory four years ago, so they had to

466
00:29:05,840 --> 00:29:09,959
Speaker 1: back Trump with all these apparatus and all this power

467
00:29:10,080 --> 00:29:13,880
Speaker 1: and mechanisms and these judges and all that stuff. This

468
00:29:14,080 --> 00:29:17,280
Speaker 1: time they've already got their man. They've got Biden, he's

469
00:29:17,320 --> 00:29:22,480
Speaker 1: in their pocket. Big businesses moved in, and these judges

470
00:29:22,560 --> 00:29:24,920
Speaker 1: and all those things they put in. They don't give

471
00:29:24,960 --> 00:29:29,000
Speaker 1: a funk about Trump. This is there there there. They

472
00:29:29,000 --> 00:29:32,640
Speaker 1: were worried about their job four years ago. Trump has

473
00:29:32,640 --> 00:29:36,480
Speaker 1: nothing to do with their job. Now, well they don't.

474
00:29:36,840 --> 00:29:38,800
Speaker 1: They're not a pace in any of those like well

475
00:29:39,400 --> 00:29:45,360
Speaker 1: just this kid until he can lead. Well, even even

476
00:29:45,400 --> 00:29:47,840
Speaker 1: if they tried, right because I know, like I was like, well, fuck,

477
00:29:47,880 --> 00:29:49,440
Speaker 1: you know, who knows what these judges are gonna do.

478
00:29:49,480 --> 00:29:51,360
Speaker 1: I mean, even when you look at the cases that

479
00:29:51,360 --> 00:29:53,960
Speaker 1: are brought, like even a judge who wanted Trump could win,

480
00:29:54,160 --> 00:29:57,320
Speaker 1: it's like it's just impossible. So this the last suit

481
00:29:57,400 --> 00:29:59,640
Speaker 1: in Arizona. That's what I mean by protect their job,

482
00:30:00,120 --> 00:30:02,600
Speaker 1: Like they can't even be like listen, man, I can't

483
00:30:02,640 --> 00:30:05,560
Speaker 1: even be. It's just like it's just they're like i'd

484
00:30:05,560 --> 00:30:08,040
Speaker 1: have to invent and doing this corruptly. I would have

485
00:30:08,160 --> 00:30:13,680
Speaker 1: to say that out, I would redefine the concept of mathematics.

486
00:30:14,800 --> 00:30:17,080
Speaker 1: This is a this is just a bridge too far

487
00:30:17,200 --> 00:30:19,640
Speaker 1: from me. So their whole thing in Arizona is all

488
00:30:19,640 --> 00:30:23,320
Speaker 1: this thing over over votes, where like ballots are coming through,

489
00:30:23,320 --> 00:30:25,360
Speaker 1: and they're saying like, well, it could have voted for

490
00:30:25,440 --> 00:30:28,800
Speaker 1: two candidates or double the win candidate, and etcetera, etcetera.

491
00:30:28,920 --> 00:30:31,200
Speaker 1: We need to actually get through these over votes. And

492
00:30:31,360 --> 00:30:33,640
Speaker 1: you know that it sounds all of nefarious and ship

493
00:30:33,680 --> 00:30:37,600
Speaker 1: like that, but realistically it's typically just something where there's

494
00:30:37,640 --> 00:30:39,800
Speaker 1: a pen mark or a dark smudge and the vote

495
00:30:39,800 --> 00:30:43,320
Speaker 1: counting machine flags it, and they're like, up, a human

496
00:30:43,400 --> 00:30:46,680
Speaker 1: needs to audit this ballot and just confirm, Okay, now

497
00:30:46,880 --> 00:30:49,040
Speaker 1: that's where the vote is for. This person's marked. This

498
00:30:49,120 --> 00:30:51,680
Speaker 1: other thing just triggered the machine to read like that

499
00:30:52,040 --> 00:30:56,080
Speaker 1: and great, put it through. Done. So the Trump campaign

500
00:30:56,120 --> 00:30:59,240
Speaker 1: is like, man, we got look, so of the hundred

501
00:30:59,280 --> 00:31:02,280
Speaker 1: fifty thousand votes that were cast in person in this

502
00:31:02,320 --> 00:31:06,080
Speaker 1: one county, uh, like the person who's in charge of

503
00:31:06,120 --> 00:31:09,320
Speaker 1: the elections vireer. They're saying, like, the vote county machine

504
00:31:09,360 --> 00:31:12,640
Speaker 1: only flagged a hundred eighty potential over votes out of

505
00:31:12,680 --> 00:31:18,240
Speaker 1: the hundred yes, and and even like even then when

506
00:31:18,240 --> 00:31:20,480
Speaker 1: they go through there like they were able to correct them.

507
00:31:20,480 --> 00:31:22,560
Speaker 1: So they're saying, even if you wanted to go with

508
00:31:22,600 --> 00:31:25,760
Speaker 1: this argument your lead that you're trying to overturn his

509
00:31:25,880 --> 00:31:29,400
Speaker 1: fourteen thousand votes, and here you can only say that

510
00:31:29,480 --> 00:31:33,800
Speaker 1: there you may need to review one hundred eighty votes.

511
00:31:34,360 --> 00:31:37,920
Speaker 1: Then they're just like simply put, there is nothing here.

512
00:31:38,120 --> 00:31:41,560
Speaker 1: There's no there's nothing that could even approach the margins

513
00:31:41,600 --> 00:31:45,160
Speaker 1: that you're looking for. So it's well, it's like borderline

514
00:31:45,240 --> 00:31:48,920
Speaker 1: massochistic at this point because you're like the more he's like, no,

515
00:31:49,400 --> 00:31:52,840
Speaker 1: I need more facts and this and that, it's like okay,

516
00:31:52,880 --> 00:31:55,520
Speaker 1: but the more they reveal, the harder you got your

517
00:31:55,560 --> 00:32:00,960
Speaker 1: ass kicked. Dude. It's sad. Reminds me of talking to

518
00:32:01,040 --> 00:32:04,840
Speaker 1: a JFK conspiracy theorist. Like I interviewed this one JFK

519
00:32:05,000 --> 00:32:07,640
Speaker 1: conspiracy theorist who had like written books and was like

520
00:32:07,800 --> 00:32:11,040
Speaker 1: had built his career on being a JFK conspiracy theorist.

521
00:32:11,600 --> 00:32:15,680
Speaker 1: And I put this theory that I believe in in

522
00:32:15,720 --> 00:32:18,080
Speaker 1: front of him where it's like an errant shop from

523
00:32:18,080 --> 00:32:22,600
Speaker 1: a secret service agent that actually killed him, and he

524
00:32:23,480 --> 00:32:26,440
Speaker 1: was like no, no, no, and then like just brought

525
00:32:26,520 --> 00:32:30,520
Speaker 1: up like all these like other random unrelated facts that

526
00:32:30,600 --> 00:32:34,440
Speaker 1: had would have had nothing to do with anything, but

527
00:32:34,520 --> 00:32:37,600
Speaker 1: are just like things that you could be like that's suspicious, right,

528
00:32:38,120 --> 00:32:42,560
Speaker 1: Like the their theory of the case on this voting

529
00:32:42,920 --> 00:32:48,320
Speaker 1: is that they over vote. They made their ballots suspicious

530
00:32:48,480 --> 00:32:52,040
Speaker 1: in order to cheat on the like at the election,

531
00:32:52,160 --> 00:32:55,560
Speaker 1: like why would why would you over vote for two

532
00:32:55,600 --> 00:32:58,520
Speaker 1: people as a way of cheating at an election? Is

533
00:32:58,560 --> 00:33:02,440
Speaker 1: that like their theory of what happened, Jack O'Brien, this

534
00:33:02,600 --> 00:33:07,000
Speaker 1: is Alex Jones. Um. Now, Now what I like to

535
00:33:07,040 --> 00:33:09,640
Speaker 1: do on my show is I'll take something I've read

536
00:33:09,960 --> 00:33:12,240
Speaker 1: and then connected with another thing I read that has

537
00:33:12,400 --> 00:33:15,440
Speaker 1: nothing to do with anything, and I am the missing

538
00:33:15,520 --> 00:33:19,400
Speaker 1: link to everything. That's exactly what they're doing of you,

539
00:33:19,440 --> 00:33:23,400
Speaker 1: Alex Jones. Clip. Did you see that way he said?

540
00:33:23,560 --> 00:33:26,160
Speaker 1: I love you, Alex Jones, Thanks so much. Get the

541
00:33:26,240 --> 00:33:31,600
Speaker 1: funk out of here, Joe Ship. Yeah, I think he's

542
00:33:31,640 --> 00:33:34,280
Speaker 1: probably charismatic in the room, if we're being honest, I

543
00:33:34,360 --> 00:33:36,520
Speaker 1: bet he's bet. I bet it's hard not to agree.

544
00:33:37,680 --> 00:33:40,600
Speaker 1: I bet look before like he had revealed all the

545
00:33:40,720 --> 00:33:43,240
Speaker 1: like weird political show, I bet he you'd be like, Yo,

546
00:33:43,280 --> 00:33:47,520
Speaker 1: you partied with Alex before? Oh, I hate was my

547
00:33:47,680 --> 00:33:51,080
Speaker 1: little sacred for until he went, until I until I

548
00:33:51,200 --> 00:33:54,560
Speaker 1: learned that people listened to him like he was telling

549
00:33:54,600 --> 00:33:56,720
Speaker 1: you the truth, like he was just this day, I

550
00:33:56,760 --> 00:33:59,440
Speaker 1: was like this is the funniest fucking radio show of

551
00:33:59,640 --> 00:34:02,440
Speaker 1: ever heard, you guys, right, and then you know he's

552
00:34:02,480 --> 00:34:04,720
Speaker 1: telling the truth, and I'm like, now, every now and

553
00:34:04,720 --> 00:34:07,000
Speaker 1: then he is. But most of the time he's just

554
00:34:07,160 --> 00:34:09,200
Speaker 1: saying that's like a lot of people who would listen

555
00:34:09,280 --> 00:34:12,359
Speaker 1: to Art Bell, who would be with Info Wars too,

556
00:34:12,360 --> 00:34:15,560
Speaker 1: because it's just like it's out there, man, Yes, that's it.

557
00:34:15,880 --> 00:34:17,759
Speaker 1: That's exactly what it was. And then people are like, no,

558
00:34:17,840 --> 00:34:21,799
Speaker 1: it's it's real, right, No, no, no, no, that's like that.

559
00:34:21,800 --> 00:34:24,000
Speaker 1: That was funny about Art Bell because you'd have like

560
00:34:24,040 --> 00:34:25,880
Speaker 1: you'd have guests on who are like with their chests

561
00:34:25,880 --> 00:34:28,200
Speaker 1: out there, like I'm telling you I went underground to

562
00:34:28,239 --> 00:34:32,160
Speaker 1: the subterranean world and fun the lizard people, and you're like,

563
00:34:32,239 --> 00:34:35,280
Speaker 1: this is great. This is my favorite Bell, my favorite

564
00:34:35,360 --> 00:34:38,480
Speaker 1: art Bill one. It is where this this dude is

565
00:34:38,520 --> 00:34:43,160
Speaker 1: convinced he shot uh a sasquatch in Oklahoma, but it's

566
00:34:43,239 --> 00:34:49,600
Speaker 1: pretty clear we think he shot a dude. Give me

567
00:34:49,600 --> 00:34:51,279
Speaker 1: and my friends were listened on the way home from

568
00:34:51,320 --> 00:34:53,920
Speaker 1: a gig whennot and it's just it's on like he

569
00:34:54,120 --> 00:34:55,640
Speaker 1: found it. He's like, this is my favorite one of

570
00:34:55,680 --> 00:34:57,759
Speaker 1: the word listen. I was like that dude shot a man.

571
00:34:57,840 --> 00:35:02,320
Speaker 1: He's like, That's what I've always thought, guy with a beard.

572
00:35:03,360 --> 00:35:06,800
Speaker 1: The GOP another kind of theory that they have, or

573
00:35:07,120 --> 00:35:11,080
Speaker 1: a thing that's gone viral, because as we were talking about,

574
00:35:11,320 --> 00:35:16,000
Speaker 1: like right wing media, the conservative world is going wild

575
00:35:16,160 --> 00:35:19,680
Speaker 1: right now, Like the number one app is that conservative Twitter,

576
00:35:20,360 --> 00:35:24,160
Speaker 1: and like the podcast charts are being lit up by

577
00:35:24,200 --> 00:35:29,520
Speaker 1: like Dan Bongino and uh, what's that other asshole Ben Shapiro.

578
00:35:30,000 --> 00:35:33,480
Speaker 1: But how many of it is like curious motherfucker's on

579
00:35:33,520 --> 00:35:37,799
Speaker 1: the left? Yeah, start listen. We're trying to who want

580
00:35:37,840 --> 00:35:39,880
Speaker 1: to crip walk on some podcasts real quick? If you

581
00:35:40,120 --> 00:35:43,000
Speaker 1: look at Twitter, like most of the if you look

582
00:35:43,040 --> 00:35:46,000
Speaker 1: at any left or right, if you look at their replies,

583
00:35:46,080 --> 00:35:49,520
Speaker 1: it's just the other side, right, yeah. Yeah. But another

584
00:35:49,680 --> 00:35:53,440
Speaker 1: thing that's going viral on that side. Newt Gingrich and

585
00:35:53,600 --> 00:35:57,400
Speaker 1: others have claimed that scores of deceased people voted in

586
00:35:57,560 --> 00:36:01,360
Speaker 1: Michigan um and this was followed by a viral document

587
00:36:01,480 --> 00:36:07,560
Speaker 1: containing people who voted for Biden, either due to fraud

588
00:36:07,719 --> 00:36:12,840
Speaker 1: or some kind of uh necromancy spell. But CNN, so

589
00:36:12,960 --> 00:36:15,239
Speaker 1: CNN just like took a sample of fifty of the

590
00:36:15,360 --> 00:36:19,040
Speaker 1: names on the list and found that thirty seven were

591
00:36:19,120 --> 00:36:23,719
Speaker 1: dead but hadn't voted. The rest are alive, and some

592
00:36:23,880 --> 00:36:26,960
Speaker 1: of the alive ones didn't even vote. Lindsey Graham and

593
00:36:27,040 --> 00:36:30,000
Speaker 1: Rudy Giuliani so like they didn't have a single example,

594
00:36:30,120 --> 00:36:33,279
Speaker 1: like just pulling a random list of fifty of them.

595
00:36:33,719 --> 00:36:36,239
Speaker 1: It's just names, that's all. It is, the names of

596
00:36:36,360 --> 00:36:42,640
Speaker 1: some dead people some living people who voted um and yeah,

597
00:36:42,960 --> 00:36:46,000
Speaker 1: that's it's it's just an old copy of a Studio

598
00:36:46,160 --> 00:36:50,439
Speaker 1: fifty four VP a list. You know what is odd?

599
00:36:50,719 --> 00:36:58,520
Speaker 1: Roy Cone's on here too, Brookshields, Lindsay Graham, and Rudy

600
00:36:58,600 --> 00:37:03,280
Speaker 1: Giuliani claimed they have evidence that dead people voted in Pennsylvania,

601
00:37:03,680 --> 00:37:07,680
Speaker 1: but they haven't proved it yet. There is one woman

602
00:37:07,800 --> 00:37:13,080
Speaker 1: who's going viral who died in October October two. Her

603
00:37:13,160 --> 00:37:15,640
Speaker 1: daughter was like, yeah, she filled out her ballot before

604
00:37:16,200 --> 00:37:19,760
Speaker 1: she died and sent it in and also she voted

605
00:37:19,840 --> 00:37:23,680
Speaker 1: for Trump. So it's like they can't they can't find

606
00:37:23,719 --> 00:37:27,880
Speaker 1: a single fucking example of the thing that of something

607
00:37:28,000 --> 00:37:33,160
Speaker 1: that would even like remotely be something they could argue about.

608
00:37:33,960 --> 00:37:36,520
Speaker 1: That's but that's what I'm talking about, Like they don't

609
00:37:36,600 --> 00:37:41,960
Speaker 1: have that apparatus behind them they can Yeah, like, now

610
00:37:42,080 --> 00:37:46,439
Speaker 1: it's just Rudy Giuliani and that sex offender in front

611
00:37:46,480 --> 00:37:52,160
Speaker 1: of the front of the landscaping place where they're just like, yeah,

612
00:37:52,560 --> 00:37:59,840
Speaker 1: what's up. You're not bored, are you? You have to

613
00:38:00,040 --> 00:38:04,440
Speaker 1: tell me, you have to tell me, hey before I

614
00:38:04,480 --> 00:38:06,400
Speaker 1: get on this bed and pull my pants off and

615
00:38:06,520 --> 00:38:11,200
Speaker 1: jack off. You're not bored, are you. God Boie tweeted

616
00:38:11,239 --> 00:38:14,800
Speaker 1: the other day that, uh, he feels sorry for Rudy

617
00:38:14,840 --> 00:38:17,000
Speaker 1: because every time he tucks in his shirt he has

618
00:38:17,040 --> 00:38:19,520
Speaker 1: to lay down on a bed going forward, just to

619
00:38:20,280 --> 00:38:23,040
Speaker 1: just to make it seem like that's how he talks

620
00:38:23,120 --> 00:38:33,200
Speaker 1: a shirted Oh man, holy shit, it's fucked up. I mean,

621
00:38:33,640 --> 00:38:36,560
Speaker 1: the celebrations, it's just funny. Like all we can do

622
00:38:36,719 --> 00:38:39,239
Speaker 1: is laugh and like to Billy's point, the people who

623
00:38:39,280 --> 00:38:42,000
Speaker 1: are responding on Twitter, it's all people who are just

624
00:38:42,640 --> 00:38:46,440
Speaker 1: just dancing on conservative Twitter graves at the moment. I mean,

625
00:38:46,480 --> 00:38:49,560
Speaker 1: there's just tons of accounts that are just dedicated to

626
00:38:49,840 --> 00:38:52,320
Speaker 1: to this content. Let's take a quick break, we'll be

627
00:38:52,480 --> 00:39:07,120
Speaker 1: right back, and we're back. So the media is already

628
00:39:07,840 --> 00:39:11,400
Speaker 1: kind of both sides in its way to a weird

629
00:39:11,600 --> 00:39:16,800
Speaker 1: new reality that has sort of normalized the fact that

630
00:39:17,480 --> 00:39:21,759
Speaker 1: the sitting president has refused to concede. They're acting like

631
00:39:22,680 --> 00:39:26,520
Speaker 1: concessions no big deal as opposed to one of the

632
00:39:26,680 --> 00:39:33,160
Speaker 1: norms that makes our peaceful transition of power possible. Um,

633
00:39:33,280 --> 00:39:37,120
Speaker 1: they're they're just like, come on, guys, it's let's start

634
00:39:37,239 --> 00:39:40,000
Speaker 1: healing with the GOP, even though the GOP is not

635
00:39:41,040 --> 00:39:46,520
Speaker 1: allowing for for this to happen, allowing for a peaceful

636
00:39:46,560 --> 00:39:49,880
Speaker 1: transition of power. And they're just like making ship up.

637
00:39:50,360 --> 00:39:53,520
Speaker 1: They're even like they will admit behind closed doors they're

638
00:39:53,560 --> 00:39:56,160
Speaker 1: making shut up. But Miles, you were noticing that like

639
00:39:56,400 --> 00:39:58,440
Speaker 1: some weird ships going on the media in terms of

640
00:40:00,080 --> 00:40:03,800
Speaker 1: this is how this country deals with itself. Uh. And

641
00:40:05,120 --> 00:40:08,520
Speaker 1: Casey Hunt on MSNBC like said something like along the

642
00:40:08,600 --> 00:40:10,960
Speaker 1: lines of like you know, like the Republicans you know

643
00:40:11,040 --> 00:40:13,040
Speaker 1: in Congress, like you know, you have to give them

644
00:40:13,120 --> 00:40:16,120
Speaker 1: credit for like quote like doing the work that keeps

645
00:40:16,200 --> 00:40:18,880
Speaker 1: the country going or something like just the bare minimum.

646
00:40:18,960 --> 00:40:22,960
Speaker 1: It's like, okay that they vote against like relief packages,

647
00:40:23,160 --> 00:40:25,719
Speaker 1: is that really the work that's there? Their obstructionists, but

648
00:40:26,280 --> 00:40:28,239
Speaker 1: still like doing this thing of like being like in

649
00:40:28,320 --> 00:40:32,120
Speaker 1: case you're a Republican who just turned on MSNBC, we're

650
00:40:32,239 --> 00:40:34,600
Speaker 1: nice okay, and you don't have to be scared, even

651
00:40:34,640 --> 00:40:38,200
Speaker 1: though like you are completely fucking wrong about everything. And

652
00:40:39,120 --> 00:40:42,279
Speaker 1: even Jake Tapper was like sort of cringing at the

653
00:40:42,400 --> 00:40:45,279
Speaker 1: list of sort of like, you know, trying to take

654
00:40:45,400 --> 00:40:48,920
Speaker 1: into account the people who have supported this administration and

655
00:40:49,520 --> 00:40:52,400
Speaker 1: basically trying to like naming these people so you know

656
00:40:52,600 --> 00:40:54,840
Speaker 1: that they will have to be held accountable if they

657
00:40:54,880 --> 00:40:57,759
Speaker 1: are trying to re enter the halls of power. And

658
00:40:57,760 --> 00:40:59,320
Speaker 1: I was like, I don't know about that, if we

659
00:40:59,360 --> 00:41:01,480
Speaker 1: should be doing that, I mean, I get it. It

660
00:41:01,600 --> 00:41:08,680
Speaker 1: sounds nefarious and dark, but concepts. But so did Santa Okay,

661
00:41:08,719 --> 00:41:12,759
Speaker 1: and we fucking love this guy, so yeah, and but

662
00:41:13,480 --> 00:41:16,240
Speaker 1: yeah exactly, and they won't even check these votes twice,

663
00:41:16,800 --> 00:41:19,080
Speaker 1: but they need to. So this whole thing is sort

664
00:41:19,120 --> 00:41:22,880
Speaker 1: of along this idea of healing, right. Joe Bien was

665
00:41:23,000 --> 00:41:26,200
Speaker 1: also like, hey, we're gonna work together. I will work

666
00:41:26,280 --> 00:41:29,399
Speaker 1: with them, even though I saw what everyone else saw.

667
00:41:29,480 --> 00:41:33,359
Speaker 1: These people have completely jettisoned themselves from reality and they're

668
00:41:33,400 --> 00:41:36,520
Speaker 1: all about this idea of healing and healing the nation.

669
00:41:36,600 --> 00:41:39,399
Speaker 1: And I'm just having such a hard time understanding, even

670
00:41:39,440 --> 00:41:41,919
Speaker 1: in this context, how the media is gonna like take

671
00:41:42,040 --> 00:41:45,640
Speaker 1: this tone of like why are we coddling trumpers on

672
00:41:45,840 --> 00:41:50,520
Speaker 1: some like oh you poor baby, It's okay because it's

673
00:41:50,880 --> 00:41:53,480
Speaker 1: in the name of healing, because I'm like, you know,

674
00:41:53,760 --> 00:41:56,480
Speaker 1: to to go there, Like the definition of healing is

675
00:41:56,560 --> 00:42:00,520
Speaker 1: to cause a wound, injury or person to become sound

676
00:42:00,760 --> 00:42:04,359
Speaker 1: or healthy again. So in this instance, the wounds are

677
00:42:04,440 --> 00:42:09,360
Speaker 1: too Democracy, the poor, people of color, l g B,

678
00:42:09,480 --> 00:42:13,080
Speaker 1: t q I, A community, Indigenous people, a lot of

679
00:42:13,120 --> 00:42:16,200
Speaker 1: people unless you're in that group of like gen X

680
00:42:16,320 --> 00:42:19,680
Speaker 1: and older cis head white Christian people. Uh, this has

681
00:42:19,719 --> 00:42:21,279
Speaker 1: not been a good run, and you're seeing a lot

682
00:42:21,360 --> 00:42:23,920
Speaker 1: of things that you would love to have changed. So

683
00:42:25,040 --> 00:42:27,560
Speaker 1: I'm not sure if that's the case, why isn't the

684
00:42:27,640 --> 00:42:30,919
Speaker 1: healing going in that direction towards those people live names,

685
00:42:30,920 --> 00:42:34,440
Speaker 1: towards those institutions I'm talking about, rather than the fucking

686
00:42:34,520 --> 00:42:36,880
Speaker 1: goons who smashed up the place, like treating them like

687
00:42:37,000 --> 00:42:40,680
Speaker 1: some fucked up emo teen werewolf who's like, oh I

688
00:42:40,800 --> 00:42:42,719
Speaker 1: get it, baby, if the full moon came out and

689
00:42:42,719 --> 00:42:45,520
Speaker 1: you're just going through some stuff, but let's come here,

690
00:42:45,840 --> 00:42:48,160
Speaker 1: let yon, let's save your life. Like it's not like

691
00:42:48,320 --> 00:42:50,279
Speaker 1: this is not the fucking time for that, Like we

692
00:42:50,680 --> 00:42:53,960
Speaker 1: these are the people who are the enemies of all

693
00:42:54,040 --> 00:42:57,240
Speaker 1: that is good. There's not a single thing, a policy

694
00:42:57,320 --> 00:42:59,320
Speaker 1: point I can point to that shows any kind of

695
00:42:59,440 --> 00:43:02,600
Speaker 1: humanity or empathy. So they need to be treated like that,

696
00:43:02,840 --> 00:43:05,040
Speaker 1: not to say like, oh, we need to fucking like

697
00:43:05,200 --> 00:43:08,440
Speaker 1: we need like violence against these people, but they need

698
00:43:08,520 --> 00:43:10,320
Speaker 1: to be held to account and they need to be

699
00:43:10,440 --> 00:43:13,120
Speaker 1: run the funk out of town. Like so, I don't

700
00:43:13,160 --> 00:43:16,919
Speaker 1: know that that's where I'm the focus. The focus needs

701
00:43:16,960 --> 00:43:19,719
Speaker 1: to be on the healing that needs to be done

702
00:43:19,840 --> 00:43:25,040
Speaker 1: with the people who were, you know, physically abused by

703
00:43:25,080 --> 00:43:30,960
Speaker 1: this administration and you know or just ideologically abused by

704
00:43:31,000 --> 00:43:34,200
Speaker 1: this administration. Like just focus your healing if you have

705
00:43:34,320 --> 00:43:37,120
Speaker 1: so much empathy, like focus your healing that way, that

706
00:43:37,800 --> 00:43:40,080
Speaker 1: that needs to be the solution, like day is Yeah,

707
00:43:40,600 --> 00:43:43,040
Speaker 1: And I think it kind of comes back to that

708
00:43:43,280 --> 00:43:45,799
Speaker 1: argument that was happening and that is still happening right

709
00:43:45,880 --> 00:43:50,640
Speaker 1: after the election with um the Democratic leadership or parts

710
00:43:50,680 --> 00:43:56,080
Speaker 1: of the Democratic leadership like Pelosi um saying that the

711
00:43:56,280 --> 00:43:58,520
Speaker 1: reason I'm sure you guys talked about this, like the

712
00:43:58,680 --> 00:44:03,440
Speaker 1: reason Democrats it's lost certain seats was because of defund

713
00:44:03,520 --> 00:44:07,279
Speaker 1: the police, like was because because of this perceived radicalism

714
00:44:07,400 --> 00:44:11,399
Speaker 1: and socialism on the left when and then they point

715
00:44:11,440 --> 00:44:14,560
Speaker 1: to those races in red districts and they say, like, well, look,

716
00:44:14,920 --> 00:44:17,800
Speaker 1: you know, just because progressives win in blue districts doesn't

717
00:44:17,880 --> 00:44:20,719
Speaker 1: mean anything. But I think that that logic is just

718
00:44:20,840 --> 00:44:27,719
Speaker 1: so fundamentally flawed because that this the like the fiery

719
00:44:28,080 --> 00:44:32,480
Speaker 1: nous of the base on the left in the Democratic

720
00:44:32,560 --> 00:44:38,160
Speaker 1: Party comes from people in BLM, comes from people who

721
00:44:38,239 --> 00:44:41,719
Speaker 1: are appalled by ice. So like the idea that's saying

722
00:44:41,800 --> 00:44:45,800
Speaker 1: defund ice is even uh so scary to these moderate

723
00:44:45,840 --> 00:44:49,680
Speaker 1: Democrats is like such a bummer. Yeah, I mean, look

724
00:44:49,760 --> 00:44:52,560
Speaker 1: what happened when Trump focused on the base like he

725
00:44:52,920 --> 00:44:58,880
Speaker 1: had all time, you know, amazing turnout like that, and

726
00:44:59,080 --> 00:45:03,239
Speaker 1: he and his eye ideas are far far more unpopular

727
00:45:03,360 --> 00:45:06,920
Speaker 1: than the ideas from the progressive side. Like that's one

728
00:45:06,960 --> 00:45:09,279
Speaker 1: thing that I feel like gets lost in all this

729
00:45:09,520 --> 00:45:13,600
Speaker 1: is how unpopular, like even even with regards to them

730
00:45:13,800 --> 00:45:16,920
Speaker 1: normalizing the well, we don't know who won the election

731
00:45:17,000 --> 00:45:20,680
Speaker 1: yet thing eighty percent of Americans think Biden, one three

732
00:45:20,800 --> 00:45:24,320
Speaker 1: percent think Trump did, like the American people know, and

733
00:45:24,880 --> 00:45:27,400
Speaker 1: the media is still covering it like it's a fucking

734
00:45:27,520 --> 00:45:31,080
Speaker 1: both sides that they're scared. They're scared. These people are

735
00:45:31,120 --> 00:45:34,920
Speaker 1: all friends, right, and it's unfortunate that we are the

736
00:45:35,000 --> 00:45:37,160
Speaker 1: ones that are going to feel the effects of their

737
00:45:37,280 --> 00:45:40,279
Speaker 1: unwillingness to shake things up in their own circles, just

738
00:45:40,400 --> 00:45:42,920
Speaker 1: like I was talking about when the uprisings were going down,

739
00:45:42,960 --> 00:45:44,960
Speaker 1: and I'm like, yo, white people, you need to fucking

740
00:45:45,000 --> 00:45:47,880
Speaker 1: look around. And if you're if you're sitting on the

741
00:45:47,960 --> 00:45:50,480
Speaker 1: sidelines while your friends are saying some racist ship and

742
00:45:50,520 --> 00:45:52,839
Speaker 1: you just keep your mouth shut, you might as well

743
00:45:52,920 --> 00:45:56,360
Speaker 1: just put the MAGA cap on too, because things aren't

744
00:45:56,360 --> 00:45:59,279
Speaker 1: going to change unless you yourself as a human being

745
00:45:59,360 --> 00:46:03,880
Speaker 1: in this no of information, take sentiments. Philosophies transmit the

746
00:46:04,000 --> 00:46:06,640
Speaker 1: idea that I am here for inclusivity, I am here

747
00:46:06,719 --> 00:46:09,520
Speaker 1: for equality, I am anti racist. This is not what

748
00:46:09,640 --> 00:46:12,239
Speaker 1: I funk with. If you are, if this is your thing,

749
00:46:12,719 --> 00:46:15,440
Speaker 1: we're not vibing. In fact, you should actually remove your

750
00:46:15,520 --> 00:46:17,920
Speaker 1: energy from my circle because that's not what I'm here

751
00:46:18,000 --> 00:46:20,960
Speaker 1: to uplift. I'm actually here to uplift people. And all

752
00:46:21,040 --> 00:46:24,120
Speaker 1: these people in media they're in the same situation but

753
00:46:24,280 --> 00:46:27,640
Speaker 1: can't do the work of actually expressing to their colleagues

754
00:46:27,680 --> 00:46:30,040
Speaker 1: and the people they were like Yo, you're fucking trash bro.

755
00:46:30,280 --> 00:46:32,560
Speaker 1: I'm sorry, Like, I can't have you on like this

756
00:46:32,680 --> 00:46:35,120
Speaker 1: is fucking bullshit. You're gonna say something racist and I'm

757
00:46:35,200 --> 00:46:37,560
Speaker 1: I'm not here for it. But they're not. They're not

758
00:46:37,719 --> 00:46:40,239
Speaker 1: thinking like that. They're too comfortable with where they're at,

759
00:46:40,320 --> 00:46:44,320
Speaker 1: so they're unwilling fear of discomfort. And there's something about

760
00:46:44,360 --> 00:46:47,840
Speaker 1: moderate white people and maybe white culture in general, although

761
00:46:47,880 --> 00:46:50,400
Speaker 1: I don't know how like Trump is um squares into that,

762
00:46:50,920 --> 00:46:53,920
Speaker 1: but this, and I'm half Swedish, so I see it

763
00:46:54,200 --> 00:46:58,360
Speaker 1: on my fucking Swedish side so hard. This fear of

764
00:46:58,520 --> 00:47:03,440
Speaker 1: discomfort and this ear of conflict and this value that

765
00:47:03,640 --> 00:47:07,480
Speaker 1: like at the dinner table you put politics aside is

766
00:47:07,600 --> 00:47:16,520
Speaker 1: just so problematic. It's why white supremacism spreads. It's it's

767
00:47:16,520 --> 00:47:19,160
Speaker 1: because of that fear. And I do truly see it

768
00:47:19,280 --> 00:47:22,520
Speaker 1: on my Swedish side. Yeah, I don't, you know, don't

769
00:47:22,560 --> 00:47:25,040
Speaker 1: want to, but that's the that's the comfort that these

770
00:47:25,120 --> 00:47:31,240
Speaker 1: people have. But unfortunately, marginalized people do not know exactly

771
00:47:31,320 --> 00:47:34,440
Speaker 1: what it's like to be uncomfortable constantly. So there's no

772
00:47:34,680 --> 00:47:36,960
Speaker 1: there's there's no fear on this side to be like, no,

773
00:47:37,040 --> 00:47:39,440
Speaker 1: I'm gonna go out here with screaming in the streets.

774
00:47:39,520 --> 00:47:42,600
Speaker 1: What I believe because I'm already on, I'm actually having

775
00:47:42,680 --> 00:47:46,120
Speaker 1: to scream because I am uncomfortable. And the reason you

776
00:47:46,200 --> 00:47:49,239
Speaker 1: are not screaming is because you are comfortable, and from

777
00:47:49,320 --> 00:47:52,480
Speaker 1: your perspective, you cannot understand that. So the worst thing

778
00:47:52,560 --> 00:47:55,080
Speaker 1: to happen to you is just make ship uncomfortable for

779
00:47:55,280 --> 00:47:59,160
Speaker 1: you without seeing what what happens to everyone else. And

780
00:47:59,360 --> 00:48:01,279
Speaker 1: it's it's had to see like how the Democrats do.

781
00:48:01,400 --> 00:48:02,920
Speaker 1: They're like, and I hate to bring this up, some

782
00:48:03,040 --> 00:48:04,680
Speaker 1: high school ship up, but they remind me of this

783
00:48:04,760 --> 00:48:07,080
Speaker 1: homie I had in high school who was got pushed

784
00:48:07,120 --> 00:48:09,800
Speaker 1: around a lot and I felt bad for him. He

785
00:48:09,960 --> 00:48:12,160
Speaker 1: was he would like to sling drugs with me and

786
00:48:12,280 --> 00:48:14,040
Speaker 1: was kind of like a fake tough guy. We were

787
00:48:14,040 --> 00:48:15,960
Speaker 1: at a party in Northridge. Some dudes pulled up to

788
00:48:16,040 --> 00:48:18,000
Speaker 1: him and said, YO, give me your chain, and he

789
00:48:18,120 --> 00:48:21,000
Speaker 1: gave it to him. And then later on I'm not joking,

790
00:48:21,000 --> 00:48:22,560
Speaker 1: they just said, YO, come up like you're running your

791
00:48:22,600 --> 00:48:25,960
Speaker 1: fucking chain, bro, And he gave him that chain. Then

792
00:48:26,000 --> 00:48:28,600
Speaker 1: he comes up to me and some of my other

793
00:48:28,680 --> 00:48:30,439
Speaker 1: boys and like, and some of my friends who played

794
00:48:30,440 --> 00:48:32,680
Speaker 1: football a bigger dudes, and like the party was mostly

795
00:48:32,760 --> 00:48:35,360
Speaker 1: like someone we knew, so that these goons were outnumbered.

796
00:48:35,440 --> 00:48:37,840
Speaker 1: But he's like, yo, man, they took my chain and

797
00:48:37,960 --> 00:48:39,880
Speaker 1: were like, what the funk? Why didn't you say something?

798
00:48:40,160 --> 00:48:42,320
Speaker 1: You just gave him your fucking chain. He's like, I

799
00:48:42,400 --> 00:48:44,360
Speaker 1: didn't know like that, maybe they're going to do something.

800
00:48:44,719 --> 00:48:46,759
Speaker 1: And I said, what the We'll go get your chain back,

801
00:48:47,239 --> 00:48:49,160
Speaker 1: and he went. He comes back and he had the chain.

802
00:48:49,200 --> 00:48:50,960
Speaker 1: I said. He's like, oh, good, you got your ship back.

803
00:48:51,000 --> 00:48:52,960
Speaker 1: What did you say? Goes Oh, they said I could

804
00:48:53,000 --> 00:48:56,759
Speaker 1: get it back for for forty bucks. You bought your

805
00:48:56,840 --> 00:48:59,400
Speaker 1: chain back. That's what the Democrats remind me of. You

806
00:48:59,440 --> 00:49:03,520
Speaker 1: know what I meant, You get fucking pushed around. Motherfucker's

807
00:49:03,560 --> 00:49:06,120
Speaker 1: gonna take your chain. You're gonna you're gonna try and

808
00:49:06,280 --> 00:49:08,120
Speaker 1: reach out to your friends and be like, hey, can

809
00:49:08,160 --> 00:49:10,680
Speaker 1: you help me out? They took my chain and then

810
00:49:10,719 --> 00:49:12,840
Speaker 1: you got your chain like, oh it wasn't because no, no,

811
00:49:12,960 --> 00:49:15,600
Speaker 1: I bought it back. You got fucking played again. And

812
00:49:15,680 --> 00:49:18,560
Speaker 1: it's just hard to see that there's this. There needs

813
00:49:18,640 --> 00:49:21,360
Speaker 1: to be an actual people need to stand up to

814
00:49:21,440 --> 00:49:23,520
Speaker 1: this because for all the talk of like how we're

815
00:49:23,520 --> 00:49:25,880
Speaker 1: so close to a civil war. We're looking at the

816
00:49:25,960 --> 00:49:29,000
Speaker 1: people who are going to continue to be a pain

817
00:49:29,120 --> 00:49:32,400
Speaker 1: point or a source of instability, like then, so we

818
00:49:32,560 --> 00:49:35,160
Speaker 1: need to actually handle that rather than like being like, okay,

819
00:49:35,200 --> 00:49:37,600
Speaker 1: well here, that's fine. Let's let's name this is the

820
00:49:37,680 --> 00:49:41,400
Speaker 1: Stephen Miller Children's Library, and this is the Ben Carson

821
00:49:41,520 --> 00:49:44,160
Speaker 1: Institute of Neurologic. Will name these after them. So the

822
00:49:44,200 --> 00:49:48,320
Speaker 1: Trumpers aren't mad, No, fuck that, you're fucking you're lost.

823
00:49:48,680 --> 00:49:50,839
Speaker 1: There's less of you, and you just got to figure

824
00:49:50,840 --> 00:49:52,560
Speaker 1: out what time it is. And the fact that we're

825
00:49:52,640 --> 00:49:55,840
Speaker 1: dragging our feet because we don't want to make ignorant

826
00:49:55,880 --> 00:49:59,319
Speaker 1: people uncomfortable is so fucked up. And it's dragging us

827
00:49:59,360 --> 00:50:01,560
Speaker 1: to the right too. I mean, it's the reason that

828
00:50:01,719 --> 00:50:04,680
Speaker 1: the center isn't the center anymore. Why the center is

829
00:50:04,719 --> 00:50:09,000
Speaker 1: called radical socialism? Now, yeah, yeah, if you doubt that

830
00:50:09,120 --> 00:50:12,760
Speaker 1: there's a corporate hierarchy at work in the mainstream media

831
00:50:13,239 --> 00:50:17,600
Speaker 1: or in the two party political system, like the sixty

832
00:50:17,719 --> 00:50:21,719
Speaker 1: nine percent of voters support medicare for all, and that

833
00:50:22,239 --> 00:50:26,160
Speaker 1: is treated by the mainstream media like there's no mainstream

834
00:50:26,239 --> 00:50:30,440
Speaker 1: media outlet like MSNBC doesn't cape for medicare for all.

835
00:50:30,960 --> 00:50:35,080
Speaker 1: Like MSNBC is like, you know, that's that's impractical, like

836
00:50:35,360 --> 00:50:38,560
Speaker 1: cause start like start thinking about ways that we can

837
00:50:38,760 --> 00:50:41,560
Speaker 1: get this through our corporate overlords like that, And that's

838
00:50:41,640 --> 00:50:45,640
Speaker 1: the furthest left you can get. Neither party is willing

839
00:50:45,719 --> 00:50:48,239
Speaker 1: to even entertain the idea of medicare for all, and

840
00:50:48,520 --> 00:50:52,680
Speaker 1: when uh an election happens, they slant the data to

841
00:50:52,800 --> 00:50:55,560
Speaker 1: make it seem like, oh, you know, even the idea

842
00:50:55,560 --> 00:50:58,200
Speaker 1: of medicare for all was scary, so scary to people

843
00:50:58,280 --> 00:51:01,359
Speaker 1: that Trump almost won. Like it's just it's even though

844
00:51:01,480 --> 00:51:05,160
Speaker 1: they walked into the wave off the back of that messaging,

845
00:51:07,160 --> 00:51:11,520
Speaker 1: it's a mess of misinformation. I think I'm on public

846
00:51:11,600 --> 00:51:16,160
Speaker 1: health care and it's great, It's fucking awesome. It's like

847
00:51:17,040 --> 00:51:20,719
Speaker 1: the idea that anyone would not want this is like

848
00:51:21,600 --> 00:51:25,719
Speaker 1: simply an information war that we lost. The same thing

849
00:51:25,800 --> 00:51:29,040
Speaker 1: like what Prop twenty two was in California where probably

850
00:51:29,239 --> 00:51:31,319
Speaker 1: for again I hate to bring local news to this show,

851
00:51:31,440 --> 00:51:35,000
Speaker 1: but like this was a proposition that Uber and Lyft

852
00:51:35,080 --> 00:51:39,719
Speaker 1: put together to a void treating their employees humanely, like

853
00:51:39,840 --> 00:51:42,800
Speaker 1: actual employees rather than car parts. I think there was

854
00:51:42,840 --> 00:51:46,120
Speaker 1: a funny tweet about that. Um and now you know,

855
00:51:46,600 --> 00:51:49,359
Speaker 1: with so they have their people to message that they

856
00:51:49,440 --> 00:51:52,320
Speaker 1: made it look like Prop twenty two was going to

857
00:51:52,560 --> 00:51:54,880
Speaker 1: harm the drivers, much in the same way that the

858
00:51:54,960 --> 00:51:58,239
Speaker 1: health insurance industry will message around how Medicare for All

859
00:51:58,280 --> 00:52:02,360
Speaker 1: will limit your choices, your options, Because really, at the

860
00:52:02,440 --> 00:52:04,040
Speaker 1: end of the day, it's it's not really any of

861
00:52:04,080 --> 00:52:05,719
Speaker 1: the ship we're saying. It's the fact that it's going

862
00:52:05,760 --> 00:52:08,680
Speaker 1: to eat into our profits and we are signing we're

863
00:52:08,760 --> 00:52:10,400
Speaker 1: kind of on a trajectory where we need to make

864
00:52:10,440 --> 00:52:13,600
Speaker 1: as much money as possible. So that's just that's kind

865
00:52:13,640 --> 00:52:18,520
Speaker 1: of our north star. And I think, yeah, like with

866
00:52:18,600 --> 00:52:21,960
Speaker 1: the Uber stuff, it's like literally the only reason they

867
00:52:22,080 --> 00:52:26,719
Speaker 1: pushed that was to increase their profit margins because they

868
00:52:26,760 --> 00:52:29,000
Speaker 1: had they had to be profitable by a certain point

869
00:52:29,040 --> 00:52:34,000
Speaker 1: based on their projections or would get mad. Yeah, they'll

870
00:52:34,040 --> 00:52:37,839
Speaker 1: get mad, right. Oh my god, have you guys heard

871
00:52:37,920 --> 00:52:40,839
Speaker 1: the story? You got what you wanted, Mike, Now leave

872
00:52:40,920 --> 00:52:44,800
Speaker 1: me alone. Oh I saw that tweet? Yeah? Is that

873
00:52:45,000 --> 00:52:57,000
Speaker 1: an argument between my parents before they got divorced? Parts? Okay, no,

874
00:52:57,160 --> 00:53:02,800
Speaker 1: I don't know. So. Uh. Mother was apparently like livid

875
00:53:03,520 --> 00:53:07,040
Speaker 1: that Mike Pence didn't drop off of the ticket after

876
00:53:07,160 --> 00:53:11,640
Speaker 1: the Access Hollywood tape um and was like actively rooting

877
00:53:11,840 --> 00:53:17,680
Speaker 1: against her husband and Donald Trump in the election. And

878
00:53:17,840 --> 00:53:21,600
Speaker 1: on election night, Karen Pence refused to kiss her husband.

879
00:53:21,880 --> 00:53:24,680
Speaker 1: He went in for a little smoochy and she said,

880
00:53:24,840 --> 00:53:27,360
Speaker 1: you got what you wanted, Mike, now leave me alone.

881
00:53:28,480 --> 00:53:36,440
Speaker 1: Uh and just walked away, which is level of like

882
00:53:36,800 --> 00:53:42,840
Speaker 1: fucking uppidness, uh and just unhappiness. And it also just

883
00:53:43,000 --> 00:53:45,680
Speaker 1: like puts the last four years of him trying to

884
00:53:46,719 --> 00:53:50,520
Speaker 1: teleport out of out of the room every time like

885
00:53:50,600 --> 00:53:54,240
Speaker 1: Trump is doing something uncouth just like puts it into perfect.

886
00:53:54,960 --> 00:53:58,280
Speaker 1: He's just you know, God, they don't believe in divorce

887
00:54:00,040 --> 00:54:03,360
Speaker 1: or else she might have who knows the I wonder

888
00:54:03,480 --> 00:54:06,520
Speaker 1: what if there is like a comedic like element where

889
00:54:06,600 --> 00:54:09,120
Speaker 1: she has just been fucking with him the last four years,

890
00:54:09,520 --> 00:54:12,280
Speaker 1: where like he's like, oh god, I know she's gonna

891
00:54:12,600 --> 00:54:15,640
Speaker 1: she's gonna laugh at me again. I don't know, I

892
00:54:15,640 --> 00:54:18,479
Speaker 1: don't know what's going to happen with mother this time. Yeah,

893
00:54:18,800 --> 00:54:21,359
Speaker 1: And like it looks pretty uh, pretty good. You're really

894
00:54:21,480 --> 00:54:25,040
Speaker 1: in command in that meeting with Nancy and Trump. You

895
00:54:25,320 --> 00:54:29,719
Speaker 1: you you nailed it. What were you mashing your eyes

896
00:54:29,800 --> 00:54:33,440
Speaker 1: closed as just like a sign of how strong you were,

897
00:54:33,640 --> 00:54:35,319
Speaker 1: How did he get you to roll over and show

898
00:54:35,320 --> 00:54:41,000
Speaker 1: your belly like that from that ankle, Mike, he's gonna

899
00:54:41,040 --> 00:54:45,520
Speaker 1: be He's gonna be demoted to alter boy back home. Uh?

900
00:54:45,800 --> 00:54:48,040
Speaker 1: And then I mean, who gives a funk what happens there? Like,

901
00:54:48,160 --> 00:54:52,200
Speaker 1: I just I hope I forget his name. Yeah, I

902
00:54:52,320 --> 00:54:57,120
Speaker 1: hope they run him in instead of some other like populists.

903
00:54:57,960 --> 00:55:00,319
Speaker 1: You know what, they were smart, they'd run if they

904
00:55:00,360 --> 00:55:02,600
Speaker 1: were smart. Well if no, If they were smart, they

905
00:55:02,600 --> 00:55:06,279
Speaker 1: would run as a party for working people. Yeah, that's

906
00:55:06,280 --> 00:55:08,360
Speaker 1: how they really. They would take that argument and they

907
00:55:08,400 --> 00:55:13,840
Speaker 1: would say, look what, look at these fucking leather shoe

908
00:55:13,920 --> 00:55:16,720
Speaker 1: wearing I don't know why I said leather shoe wearing,

909
00:55:16,840 --> 00:55:21,560
Speaker 1: but these fancy motherfucker's. You know, that would be you'd

910
00:55:21,600 --> 00:55:25,000
Speaker 1: have enough people who are like the people are failing

911
00:55:25,040 --> 00:55:27,680
Speaker 1: to realize. The realist ship to people right now is

912
00:55:27,800 --> 00:55:31,000
Speaker 1: like what their job prospects are, what their chances for

913
00:55:31,120 --> 00:55:34,160
Speaker 1: stability are, What the chances for their future being and

914
00:55:34,280 --> 00:55:37,480
Speaker 1: the futures of their children being good are. If whoever

915
00:55:37,800 --> 00:55:41,440
Speaker 1: wins the race to begin to paint that future is

916
00:55:41,520 --> 00:55:44,640
Speaker 1: going to fucking capture more minds, because that's what's real

917
00:55:45,000 --> 00:55:48,200
Speaker 1: at a certain point, the partisanship will melt away on

918
00:55:48,400 --> 00:55:51,880
Speaker 1: to a certain degree that a message like that is

919
00:55:51,920 --> 00:55:55,040
Speaker 1: going to resonate much more than anything that's like shrouded

920
00:55:55,080 --> 00:55:58,359
Speaker 1: in your left or right sort of vernacular lexicon, all

921
00:55:58,400 --> 00:56:01,560
Speaker 1: that nonsense, like getting to that that's the dangerous ship.

922
00:56:01,640 --> 00:56:03,239
Speaker 1: And that's the thing that Trump was kind of doing

923
00:56:03,280 --> 00:56:05,200
Speaker 1: that that's the other thing in sixteen. But he was

924
00:56:05,600 --> 00:56:08,600
Speaker 1: the thing. He became. He became the man, so he

925
00:56:08,680 --> 00:56:11,239
Speaker 1: could no longer talk about sucking the man up because

926
00:56:11,280 --> 00:56:14,440
Speaker 1: I was him. So he just didn't know how to pivot. Well. Yeah,

927
00:56:14,480 --> 00:56:18,000
Speaker 1: and also he's just like completely corrupt and you know,

928
00:56:18,440 --> 00:56:22,120
Speaker 1: thrives on He is, uh, first and foremost a businessman,

929
00:56:22,360 --> 00:56:26,120
Speaker 1: an American businessman, an American capitalist, and the definition of

930
00:56:26,200 --> 00:56:29,440
Speaker 1: that is corruption. And so he was just like when

931
00:56:29,520 --> 00:56:31,680
Speaker 1: he got into power, the thing he knew how to

932
00:56:31,800 --> 00:56:34,800
Speaker 1: do was to give them a bunch of like tax

933
00:56:34,880 --> 00:56:37,880
Speaker 1: breaks and just like you know, make it so that

934
00:56:38,040 --> 00:56:45,880
Speaker 1: corporations had an unfair advantage. Um. And yeah, that's that's interesting.

935
00:56:46,239 --> 00:56:49,080
Speaker 1: I mean it's like I feel like the d n

936
00:56:49,160 --> 00:56:52,200
Speaker 1: C and I hope they realized, but it's just like

937
00:56:52,320 --> 00:56:55,680
Speaker 1: the d n C is on fame fucking Ice. Yeah,

938
00:56:56,000 --> 00:57:00,120
Speaker 1: they do not realize it. A large voter, you a

939
00:57:00,239 --> 00:57:03,879
Speaker 1: large amount of voters this time around, Like I feel

940
00:57:03,880 --> 00:57:05,560
Speaker 1: like made it pretty clear that this is like the

941
00:57:05,719 --> 00:57:08,320
Speaker 1: last vote they're casting for the d n C that

942
00:57:08,520 --> 00:57:14,520
Speaker 1: is not explicitly like aligned with their interests. Like so yeah,

943
00:57:14,640 --> 00:57:18,840
Speaker 1: they have to like together or they're gonna loose. I

944
00:57:18,880 --> 00:57:22,320
Speaker 1: mean it's like it's just there's something's going to have

945
00:57:22,480 --> 00:57:29,240
Speaker 1: to change. Somebody's gonna use economic populism. Uh, Like Biden

946
00:57:29,360 --> 00:57:32,680
Speaker 1: is going to be leading, so he could actually run

947
00:57:32,880 --> 00:57:36,520
Speaker 1: and use like take care of people and then run

948
00:57:36,600 --> 00:57:41,440
Speaker 1: on economic populism and leave the sort of corporate bullshit

949
00:57:42,000 --> 00:57:46,160
Speaker 1: to the Republicans, or you know, he can be the

950
00:57:46,400 --> 00:57:49,360
Speaker 1: corporate stooge that people are afraid he's going to be,

951
00:57:49,560 --> 00:57:52,320
Speaker 1: and then the Republicans will come in and you know,

952
00:57:52,680 --> 00:57:55,840
Speaker 1: demolish him. Yeah. I mean, listen to these and if

953
00:57:55,920 --> 00:57:58,360
Speaker 1: they just take a cue from these activists, you know,

954
00:57:58,560 --> 00:58:02,520
Speaker 1: if there's certain outcomes that we need, you you're damn

955
00:58:02,600 --> 00:58:07,040
Speaker 1: sure that organizers and things can get people together to

956
00:58:07,920 --> 00:58:11,000
Speaker 1: uh pressure whoever is not going along with the program.

957
00:58:11,600 --> 00:58:13,840
Speaker 1: And you know, like rather than being like, well, we

958
00:58:13,880 --> 00:58:16,439
Speaker 1: would have loved to do an actual stimulus that would

959
00:58:16,480 --> 00:58:19,560
Speaker 1: have helped people, but you know, Mitch McConnell's a fucking asshole,

960
00:58:19,680 --> 00:58:23,520
Speaker 1: So here's fucking nothing because Mitch McConnell's an asshole. Rather

961
00:58:23,600 --> 00:58:26,520
Speaker 1: be like, hey, we're trying to fucking do right by all,

962
00:58:26,560 --> 00:58:31,000
Speaker 1: but this mother fuck over here, like and making it

963
00:58:31,200 --> 00:58:33,360
Speaker 1: enough of an issue by saying, this is the person

964
00:58:33,440 --> 00:58:35,400
Speaker 1: that is standing in the way. Now, there are many

965
00:58:35,480 --> 00:58:37,520
Speaker 1: other ways we can do this. But rather than just

966
00:58:37,640 --> 00:58:41,520
Speaker 1: being like, well, you know, getting already like self editing

967
00:58:41,560 --> 00:58:43,840
Speaker 1: before you even put a bill together because you're already

968
00:58:43,840 --> 00:58:46,439
Speaker 1: worried about what's going to happen in the Senate, that's

969
00:58:46,480 --> 00:58:48,439
Speaker 1: where you get fucked up, and that's when you start

970
00:58:48,520 --> 00:58:50,800
Speaker 1: losing people's believe because you're like, well, I don't want that.

971
00:58:51,320 --> 00:58:54,880
Speaker 1: I'm looking for a fucking relief, not sucking. You know,

972
00:58:55,240 --> 00:59:01,000
Speaker 1: a scratcher that that that's good fucking look of a

973
00:59:01,120 --> 00:59:08,640
Speaker 1: backscratcher to every household I met, like lottery scratchers even worse.

974
00:59:09,120 --> 00:59:11,640
Speaker 1: Some Yeah, it's like Battle Royale, Like people get their

975
00:59:11,680 --> 00:59:14,000
Speaker 1: stimulus package, but like some people get like a check,

976
00:59:14,120 --> 00:59:18,000
Speaker 1: other people get a lottery scratcher, backscratcher. Thanks so fucking

977
00:59:18,080 --> 00:59:22,840
Speaker 1: fly swatters that wouldn't put anything cast. All right, that's

978
00:59:22,920 --> 00:59:26,800
Speaker 1: gonna do it for this week's weekly Zeite. Guys, please

979
00:59:27,000 --> 00:59:30,240
Speaker 1: like and review the show. If you like the show,

980
00:59:30,880 --> 00:59:35,240
Speaker 1: uh means the world to Miles. He needs your validation, folks.

981
00:59:35,880 --> 00:59:38,920
Speaker 1: I hope you're having a great weekend and I will

982
00:59:38,960 --> 01:00:14,600
Speaker 1: talk to him Monday. By Stas