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Speaker 1: Hello the Internet, and welcome to season twenty five, episode

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Speaker 1: one Up Daily's Idea for April second, two thousand eight. Team.

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Speaker 1: My name is Jack O'Brien aka but Danto's O'Brien, and

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Speaker 1: I am joined as always buy my co host Mr

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Speaker 1: Miles ray T Miles, great pop. Thank you. That was

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Speaker 1: an a K for all the Star Trek people who

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Speaker 1: have hit me with that a K. Wasn't really familiar

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Speaker 1: with the Jean Luke Pricard proclivity or love for or gray,

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Speaker 1: but that's where it is. So thank you to the

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Speaker 1: Trek gang, and I totally got that. We are thrilled

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Speaker 1: to be joined in our third seat. No, not at

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Speaker 1: all by the hilarious stand up comedian and podcast post

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Speaker 1: Josh Androwsky. What's up man? Hello? I also totally definitely

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Speaker 1: got that reference and was not immediately taken out and

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Speaker 1: wonder I was having a stroke that you were talking.

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Speaker 1: I just suddenly go into an esoteric reference like thing. No, no, no, no,

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Speaker 1: it was yes, it was very exciting. Okay here, yeah, sad,

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Speaker 1: hurt my brain. I hit people with their caves without warning. Josh,

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

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Speaker 1: who you are? As a human being or just some

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Speaker 1: ship you're curious about. In the past twenty four hours.

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Speaker 1: I think it's pretty revealing, uh that in the past

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Speaker 1: twenty four hours I Google searched Jock Peterson round face

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Speaker 1: notion because he's my roundest face baseball boy and he's

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Speaker 1: a boy of dingers, and I really like him. He's

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Speaker 1: a boy of dingers. He's a boy of dingers. He's

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Speaker 1: like twenty four years old, and he hits home runs

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Speaker 1: or nothing at all, right, And that's what I like

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Speaker 1: about him is he's a real uh. He's he reminds

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Speaker 1: me of me. It's either the greatest thing you've ever

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Speaker 1: heard some of the time or most of the time

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Speaker 1: just the worst thing striking out. You should embarrassing get

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Speaker 1: hit by a car. A judge should bang a gavel

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Speaker 1: and usually get hit by a car. Uh. But yeah,

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Speaker 1: that's he does. So he is a Dodger, Yes, he

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Speaker 1: has a Los Angeles Dodger. And the baseball season just

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Speaker 1: started up again, and I'm really trying hard to get

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Speaker 1: into baseball because I just want to quit football so bad.

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Speaker 1: I want to stop liking football for literally everything football does,

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Speaker 1: every decision football makes seems like it's made like in

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Speaker 1: a lab to upset me. Josh Androski. What is it

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Speaker 1: about football that's so upsetting? Um? Well, I if you

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Speaker 1: get past the fact that they're killing themselves quite literally

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Speaker 1: every day, uh, and the horrible politics, the racism, the

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Speaker 1: general you know, southern billionaire doing whatever he wants with

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Speaker 1: black bodies. Uh and all of that, it's been pretty boring, right,

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Speaker 1: so all of it. Have you? Have you noticed though,

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Speaker 1: that like, uh, the diversity has been shrinking by way

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Speaker 1: of like African American participation in baseball too over the years,

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Speaker 1: just because it's so traditional, right, So is there? I

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Speaker 1: mean I feel like for someone of your ilk philosophical

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Speaker 1: standing in points of views, that baseball would also kind

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Speaker 1: of be like not that it's like problematic, but it's

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Speaker 1: just like a full nine point nine percent of all

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Speaker 1: white baseball players are named like Chip truck a Thon

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Speaker 1: or fucking Steve Harley or whatever, and they absolutely voted

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Speaker 1: for Trump because they think the immigrants are going to

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Speaker 1: shut down their dad's factory. That only makes aggressive card

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Speaker 1: decouts Like yeah, dude, like I get it, Like, but

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Speaker 1: I love yas l pleag a lot. Yeah, we'll see

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Speaker 1: there's so many there's so many good stories that people

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Speaker 1: come from other countries and making their way in baseball. Yeah.

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Speaker 1: And but also Magic Johnson in Los Angeles is trying

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Speaker 1: to get a lot of like uh, he's like part

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Speaker 1: of a program to get a lot more black youth

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Speaker 1: into baseball because it's it's crazy to look on a

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Speaker 1: chart how it's fallen off, like really hard over the

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Speaker 1: last few years. But also you look at a chart

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Speaker 1: that says where the guaranteed money is in sports, and

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Speaker 1: here's a game that doesn't destroy your brain. Like football

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Speaker 1: has gotten cooler. You know, obviously basketball is the bad

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Speaker 1: sport and coolest sport. I think that's a number one

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Speaker 1: basketball number one, soccer number one. Also I mean worldwide

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Speaker 1: world soccer number one, soccer number one, number of football

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Speaker 1: number football number one number one, number one football number

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Speaker 1: but basketball number one, basketball number one. Um and yeah,

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Speaker 1: so Magic Johnson's like, hey, children, stop hurting your brains. Yeah, Like,

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Speaker 1: do me a huge favor real quick, and like, don't

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Speaker 1: destroy your brains. Hi, I'm Magic Johnson. I know something

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Speaker 1: about making a whoopsie and destroying my body. Don't do

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Speaker 1: the same thing. Look at these Look at these holy

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Speaker 1: out of shape athletes, they're professional athletes. Yeah, exactly, reach

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Speaker 1: for the stars, guys, plet least Fred fulln Stones over

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Speaker 1: here on the mound. Yeah, what I mean, that's the

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Speaker 1: one of as I even just say stuff like, oh

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Speaker 1: what about baseball? But the thing that I love is

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Speaker 1: that I love that you can you don't necessarily have

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Speaker 1: to be a top performing athlete physically to be able

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Speaker 1: to be a great baseball player. I feel I feel

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Speaker 1: like Bartolo Cologne's doctor is Donald Trump's doctor, where he's

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Speaker 1: just like, perfect, you're nailing its impeccable body fat, you're what,

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Speaker 1: you're exactly one pound below a beast. Uh. He just

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Speaker 1: wants to make sure they could make it through a

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Speaker 1: tough winter. Yeah exactly. Um, yeah, you guys just had

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Speaker 1: a very enlightened conversation about sports. And I'm still on

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Speaker 1: this dude's face being round and kind of chubby and

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Speaker 1: no chinney, which there there is just that face that

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Speaker 1: it doesn't matter what your body is, like, like how

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Speaker 1: in shape you are, you just have that round face

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Speaker 1: that it's kind of just the shape of your face

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Speaker 1: implies that you're a little soft body. But you're a

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Speaker 1: Cheetoh fan, right, Yeah, we're talking up stairs. Wesley Matthews

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Speaker 1: is another example NBA player where you know, you look

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Speaker 1: at his head shot and you're like, oh, he's trying

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Speaker 1: to create the illusion of a chin with a beard.

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Speaker 1: He's got synthetic chin, as Miles said, uh, simulated neck.

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Speaker 1: But then you see him, you know, in a basketball jersey,

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Speaker 1: and he's like absolutely ripped and a better athlete than uh,

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Speaker 1: you know I've ever met. What's more unfortunate if we're

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Speaker 1: talking about just like bad facial like situations. Is it

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Speaker 1: to be a person with like zero chin so that

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Speaker 1: you have to do the George Lucas fake neck with

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Speaker 1: a beard thing right the lineup right right? Or is

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Speaker 1: it to be a person with way too many gums, like,

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Speaker 1: way too much gum surface area compared to teeth surface area.

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Speaker 1: What would you prefer on, hell my teeth, big gums,

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Speaker 1: small teeth, big gums or no chin? God? You know,

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Speaker 1: I think I would Because I can't grow facial hair,

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Speaker 1: I will go with the no chin so I could

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Speaker 1: experience a beard. Okay, well what if you if your

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Speaker 1: hair Oh my god? Yeah, why did you think a

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Speaker 1: good thing would come out of? I called it hell?

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Speaker 1: Hell island Uh, I don't know who which one of

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Speaker 1: my friends to offend right out old tiny teeth or uh,

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Speaker 1: they're both great, yes, exactly, not getting in any trouble

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Speaker 1: with Josh. What is something that is underrated? I think

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Speaker 1: the movie Death of Stalin is underrated. I'm hearing great

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Speaker 1: things about it's underrated because I'm not hearing enough about it.

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Speaker 1: And I think that it's the funniest political comedy movie, which,

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Speaker 1: when you think about it as a genre, doesn't have

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Speaker 1: that many really great movies. Like people still talk about

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Speaker 1: Bullworth like it was good, like not that it was

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Speaker 1: just weird. They're remembering the soundtrack exactly. Yeah, yeah, I

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Speaker 1: did by the soundtrack and have never seen the movie, right,

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Speaker 1: and that was like got its own name. Yeah, people

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Speaker 1: should make more like comedic political movies because every time

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Speaker 1: they do, it's a big deal, like they they haven't

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Speaker 1: been that great Wag the Dog. People are still like,

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Speaker 1: is it a Wag the Dog effect? Exactly what. I

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Speaker 1: couldn't tell you one moment from that movie, right, I

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Speaker 1: just remember the stage where the little girl was running

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Speaker 1: around to simulate a war zone. That's the only thing

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Speaker 1: I can remember from that film. If you ask me

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Speaker 1: what the film is about. It was like, I think

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Speaker 1: they faked some war footage. I'm pretty sure that's what

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Speaker 1: I think. That's the basis. But that's all I remember too.

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Speaker 1: I can tell you anything else but Death of Stalin.

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Speaker 1: It's Armando Iannucci who did Veep, created and wrote like

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Speaker 1: the first three seasons of Leep, Yeah, and Thick of It,

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Speaker 1: And he related to Gino i Enugi the skateboarder almost definitely. Yeah,

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Speaker 1: I would. I would assume that they are the same person.

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Speaker 1: He just kicked flips on his way onto the set. Uh.

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Speaker 1: But no, it's it's a tremendous movie that like, uh,

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Speaker 1: it did something really weird that I really liked. It

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Speaker 1: made a very strong choice to not have any of

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Speaker 1: the actors even fake a Russian accent, which immediately is like, okay,

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Speaker 1: this is not about historical accuracy, which I thought, love right,

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Speaker 1: because basically, like when Stalin dies, you've got this society

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Speaker 1: that is built on the myth of this like secret government,

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Speaker 1: and nobody trusts anybody, and everybody has to just like continually,

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Speaker 1: uh justify lies forever that once it's over, for that

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Speaker 1: brief moment, there's the desperate scramble for power. Uh, and

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Speaker 1: everybody's so serious about the most insane things, and so

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Speaker 1: it really, uh, it was one of the funniest movies

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Speaker 1: I've seen in a very long time. Yeah. I saw

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Speaker 1: a clip from it where they get to the end

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Speaker 1: of a concert and like an orchestral performance, and then

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Speaker 1: Stalin's office calls and it was like Stalin would like

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Speaker 1: a recording of tonight's performance, and so the guy like

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Speaker 1: hangs up the phone and they're like, did we record it?

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Speaker 1: Or like no, and so he runs back and makes

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Speaker 1: everybody sit back down and just redo the whole performance

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Speaker 1: so that Stalin doesn't know that they didn't record it,

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Speaker 1: because that's what living in a dictatorship was like. It

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Speaker 1: was just like everyone existed for this one person's like

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Speaker 1: shitty whims. Yeah, oh they and like half the audience

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Speaker 1: had already left, so they just broadened people on the

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Speaker 1: street with just like big Saxa turnups and they're like,

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Speaker 1: what the fun is going on? Yeah, clap right now?

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Speaker 1: You enjoyed this, Mozar. I mean we're not far off

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Speaker 1: from that, right, Like imagine if Fox and Friends didn't

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Speaker 1: air and they're and like Trump's friends and they're like

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Speaker 1: fun like calling Fox. But yeah, can y'all just do like,

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Speaker 1: I don't know, just read it really quick. We need

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Speaker 1: something for him that that presupposes a really insane theory

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Speaker 1: that Trump is not sitting and watching live every episode

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Speaker 1: of Fox. Well, he has it on DVR. So if

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Speaker 1: it's not his dvr, man, wait a second. So wait,

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Speaker 1: I'm the one day that he's like, has to meet

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Speaker 1: with like I don't know, like the premier of Ecuador,

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Speaker 1: and he's like, I just want to watch Fox and Friends.

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Speaker 1: That's all I want to do. And he just talks

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Speaker 1: to whoever's in charge of Ecuador is like, I think

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Speaker 1: that I'm one of the friends. Yeah, I don't know.

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Speaker 1: I don't know. Do you watch it every day? I

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Speaker 1: feel like I'm just to fly on the wall in

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Speaker 1: their conversation. I think you say them, I'm the chandler.

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Speaker 1: I'm the chandler. Um. Yeah, we'll talk a little bit

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Speaker 1: later about how it's just, you know, our national news

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Speaker 1: media is determined by what was on Fox and Friends

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Speaker 1: that morning and who he hung out with that week.

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Speaker 1: All right, what's something that's overrated? Josh? I'm gonna go

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Speaker 1: back to the world of movies and say I love dogs.

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Speaker 1: I love dogs. I'll oh of dogs. They said, I

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Speaker 1: love dogs. I love dogs, but it is overrated, nothing

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Speaker 1: about dogs except that movie. So the Wes Anderson film,

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Speaker 1: I'll Island of Dogs. Uh, it's overrated? Overrated? Oh yeah,

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Speaker 1: I mean I haven't heard a lot of I haven't

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Speaker 1: seen it. My mom saw it and she was like,

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Speaker 1: I like that it's in Japan? Is that it? And

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Speaker 1: she's like, I have to watch it again. Like well,

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Speaker 1: she's a film critic, so yeah, that's not just has,

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Speaker 1: Like if anything has is like japan adjacent. She's like, oh,

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Speaker 1: this is great. And I'm like, what about all the

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Speaker 1: white people doing the voices? And she's like, but they're dogs.

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Speaker 1: I'm like, okay, well they're not doing Japanese voices, are

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Speaker 1: they No, But like but she's like, but the humans

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Speaker 1: are Japanese. I'm like, okay, well all right, do you mom.

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Speaker 1: But like with the death of Stalin thing, I agree

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Speaker 1: with the point that let's just stop doing like in history,

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Speaker 1: everybody spoke like that, like with a like vague British accent,

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Speaker 1: and it's just like not just talk like yourself like

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Speaker 1: Hamilton's like made it, so we're allowed to just ignore

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Speaker 1: certain parts of historical accuracy. The facts remain the same,

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Speaker 1: the accents maybe right. But so Ile of Dogs is

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Speaker 1: getting good reviews, but it's also catching some heat for

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Speaker 1: being like a shot through with cultural appropriation. See that's

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Speaker 1: not the problem with the Isle of Dogs. I mean, granted,

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Speaker 1: this is a white dude talking, so shocker, I'm not

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Speaker 1: I don't care if that. If like it's just a

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Speaker 1: bad movie and it's it's not egregious cultural appropriation as

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Speaker 1: far as like you know, having Emma Stone play, I

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Speaker 1: don't think it's at that level either. I think it's

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Speaker 1: one of those things where people just had to find

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Speaker 1: like those flaws and just jump onto me, which is

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Speaker 1: like not the way to jump on this movie. The

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Speaker 1: problem with this movie of anything, is that, uh, I've

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Speaker 1: never seen somebody work so hard and make such an intricate,

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Speaker 1: delicate movie that says nothing, that just says they put

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Speaker 1: in so much work to say nothing nothing, and and

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Speaker 1: like not every movie has to make a point or

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Speaker 1: you know, take a stand or whatever. But this movie,

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Speaker 1: I mean, if anything, it appropriates resistance. It's all about

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Speaker 1: like resistance and like you know, fighting oppression or whatever. Uh.

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Speaker 1: And then when it has a chance to say something

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Speaker 1: like and it brings in like there's a trash island.

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Speaker 1: Oh you think there might be something about like climate

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Speaker 1: change or you know, like, oh there's this this could

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Speaker 1: be like some sort of me did um like allegory

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Speaker 1: to the treatment of like immigrants that we don't want

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Speaker 1: that we're pushing them. But no, it's just about sucking dogs.

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Speaker 1: It's just trash. It's such just about dogs on a

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Speaker 1: trash island. And then the worst part is that, um,

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Speaker 1: spoiler do you mind a mild spoiler, let's do this

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Speaker 1: for I love dogs? Yea. Like at the end, the

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Speaker 1: kid like is put in a position of power, the

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Speaker 1: kid that's been like trying to get his dog back,

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Speaker 1: like the protagonist. Um, and this group of kids is

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Speaker 1: like put in power and they come very close to

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Speaker 1: creating capital punishment for people that are mean to dogs.

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Speaker 1: So they're just like okay, and if you don't agree

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Speaker 1: with us, we'll kill you, which is like what is

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Speaker 1: this lesson? And that's not even treated as like a

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Speaker 1: bad thing, it's just like cute. It's a cute moment

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Speaker 1: where like when the kids is like, I don't know,

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Speaker 1: off with his head. Yeah, no, we'll just do, We'll

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Speaker 1: have them do forced labor is where they stay on. Yeah.

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Speaker 1: So it's like, oh, okay, so you're just punitive liberalism

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Speaker 1: like all you could think, and then you're like, yeah,

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Speaker 1: I guess Wes Anderson. It's just he like heroically avoided

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Speaker 1: making a point. He just like took out a golden

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Speaker 1: and flannels like twee shovel and dug himself a hole

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Speaker 1: and buried his head in it like an ostri. Do

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Speaker 1: you feel that way about his other movies? Like that

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Speaker 1: he just generally avoids making a point. Well, they make

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Speaker 1: a point about people, you know, like Rushmore. I like

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Speaker 1: the whole Like he's very good at creating um, you know,

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Speaker 1: very funny moments of like sort of disaffected upper middle

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Speaker 1: class on We you know, And that's great and and

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Speaker 1: there's a lot of desperation and funny ship that comes

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Speaker 1: out of these entanglements that where you know, your relational

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Speaker 1: steaks are your entire life because you have no material wants,

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Speaker 1: you know. But like his last few movies, I really

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Speaker 1: hated the Hotel one. Yeah, I thought it was just

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Speaker 1: a dollhouse. You just made a dollhouse. It's a very

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Speaker 1: pretty doll house. I like your dollhouse, West, it's very pretty.

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Speaker 1: Don't make me spend an hour and a half looking

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Speaker 1: at your fucking dollhouse. Make it twenty minute. If Isla

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Speaker 1: Dogs was twenty minutes, it would have been perfect, the

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Speaker 1: perfect film, perfect tournament film, perfect twenty minutes sitcoms. All right,

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Speaker 1: let's get into your myth. What is a myth? What

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Speaker 1: is something people believe to be true that you know

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Speaker 1: to be false? Okay, my myth is that when you

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Speaker 1: put your money in the bank, it just kind of

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Speaker 1: like sits in a vault a allah, Scrooge McDuck. It doesn't.

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Speaker 1: I'd like to tell you that your world is a lie. What. Yeah,

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Speaker 1: there's no hell. Now there's now. There is sort of hell,

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Speaker 1: and it's called Well's Fargo, Hell's fargo. Um. Basically, I

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Speaker 1: know a lot of people that are listening know this um.

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Speaker 1: But it's something that a lot of people don't really

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Speaker 1: think about what happens to their money after they put

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Speaker 1: it in the bank. But what happens is um, it

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Speaker 1: all is used to fund the worst parts of our society.

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Speaker 1: And I think we, on like a conscious or subconscious level,

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Speaker 1: understand that banks fund really bad Ship and Wall street

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Speaker 1: banks are bad. Um. But what happens in your city

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Speaker 1: if you live in a big city and you're listening

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Speaker 1: to this, um, your electric bill when you pay that,

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Speaker 1: that just doesn't go immediately to fill a pothole, you know,

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Speaker 1: like it's been tagged and earmarked to fill that pothole,

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Speaker 1: but it sits there for a year. And in that year,

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Speaker 1: if your city uses a private bank, then that money,

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Speaker 1: your electric bill payment that you have to pay to

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Speaker 1: your city in order to keep your lights on, goes

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Speaker 1: to in the case of Los Angeles, everything from Philip

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Speaker 1: Morris cigarettes to Honeywell that's guns, uh, to you know

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Speaker 1: Ray Theond that's guns that kill brown people overseas, not

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Speaker 1: ones here, future future guns, laser guns. Uh. It goes

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Speaker 1: to private prisons where um, you know, our neighbors are

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Speaker 1: being around it up by the new Gestapo ice and

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Speaker 1: and you know they're being held at private fucking prisons. Um.

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Speaker 1: It goes to pipelines that destroy native land. Um, and

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Speaker 1: all this horrible bad ship. Not exclusively, but these are

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Speaker 1: among the things that it goes to, right, And yes,

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Speaker 1: a big portion of it does go directly into the

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Speaker 1: pocket of a banker. So yes, I just want to

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Speaker 1: make sure important things like bankers pockets are because yeah,

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Speaker 1: the way the city works is rather than having we

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Speaker 1: are the bank of l A, they give their money

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Speaker 1: to Wells Fargo to be like the handle our ship

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Speaker 1: and because of that, the banks can gamble with it

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Speaker 1: on the stock mark and ship like that. And yeah,

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Speaker 1: sure our money is sitting there, but it seems like, yeah,

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Speaker 1: we're not in control of what we're invested in. I'm

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Speaker 1: part of a group, um that's the California Public Banking

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Speaker 1: Alliance through Public Bank Los Angeles, where we are trying

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Speaker 1: to make that not happen anymore, because that's billions of

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Speaker 1: dollars a year that can stay in your city. Like

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Speaker 1: it's money that we're all being forced to pay through

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Speaker 1: taxes and fees and ship like that. Like anytime a

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Speaker 1: bridge is built, anytime we I don't know, try to

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Speaker 1: update our power grid so that we're yeah, so that

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Speaker 1: we don't sink into the ocean. Um, half of that

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Speaker 1: money just goes directly to some banker. Uh. And so

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Speaker 1: basically we're trying to stop that. So if you're interested,

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Speaker 1: check out the California Public Banking Alliance Public Bank l

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Speaker 1: A or talk to there's a lot of d s

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Speaker 1: A chapters around the country that are Democratic Socials of

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Speaker 1: America chapters around the country that are doing great work

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Speaker 1: with public banking. Essentially, what we want to do is

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Speaker 1: create a network of municipal public banks that are similar

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Speaker 1: to what is going on right now in Germany, the

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Speaker 1: spak housing model. Uh. And yeah, you know they're only

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Speaker 1: the best economy in the war old right you just

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Speaker 1: figured that was borrow a couple of things. Yeah, right, Yeah,

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Speaker 1: Like what's happened recently is through the work of public

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Speaker 1: bank Los Angeles. Uh, there's a disqualification of Wells Fargo.

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Speaker 1: Wells Fargo can no longer hold the city's money because

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Speaker 1: Wells Fargo routinely is super racist and just yeah, they

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Speaker 1: love redlining. They target people of color and just fucking

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Speaker 1: jack up their interest rates. And so that means that

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Speaker 1: people of color can't start a small business or own

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Speaker 1: a home without being completely uh enslaved to the financial complex,

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Speaker 1: you know. And so what we want to do is

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Speaker 1: create a bank where that won't happen because we have

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Speaker 1: a degree of democracy, Like we're just we have a

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Speaker 1: big syringe full of democracy that we want to inject

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Speaker 1: into the horrible, gross, awful banking system and uh, fix it.

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Speaker 1: I think it's worth looking into in a very worthy

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Speaker 1: thing because yeah, we're throwing much money away by doing

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Speaker 1: business with people who don't give a difference. And that

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Speaker 1: was the Wells Fargo thing that was where was that discovered?

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Speaker 1: Was that exposed during the scandal that they just basically

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Speaker 1: they opened up the new accounts. Well, you know, the

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Speaker 1: racial profiling was in the two eight financial crash that

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Speaker 1: came out then that they were like targeting really really

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Speaker 1: risky mortgages to people of color and giving like incentives

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Speaker 1: to their employees. Uh for every like one of these

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Speaker 1: risky accounts or risky loans to a person of color

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Speaker 1: that they would like, yeah, they would incentivize it. But yeah,

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Speaker 1: this kind of thing has been going like but yeah,

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Speaker 1: but like redline, the practice of redline general, Yeah for decades.

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Speaker 1: We should do a whole segment on probably will because yeah,

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Speaker 1: like what they do is basically outlined whole neighborhoods where

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Speaker 1: they're like, oh, this property isn't worth much or it's risky,

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Speaker 1: k a inner city or you know, people of color

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Speaker 1: lived there. And also if you live in one of

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Speaker 1: those areas and you're trying to get a home loan,

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Speaker 1: they'll be like, oh, you're coming from a high risk area.

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Speaker 1: That means you're interest rate is like, you know, twelve percent.

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Speaker 1: Who knows what kind of crazy fucking sh Yeah, that'll

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Speaker 1: be an upcoming topic, will definitely have to get into.

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Speaker 1: All right, let's take a quick break and we'll be

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Speaker 1: right back with the news. And we're back, and uh,

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Speaker 1: Miles is me owing and we are. So we wanted

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Speaker 1: to start off with a video that went viral over

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Speaker 1: the weekend that was made by actually the video director

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Speaker 1: of dead Spin, uh, Timothy Burke. It's like a super

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Speaker 1: cut of all these local news stations who were given

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Speaker 1: the same script from Sinclair Media, where they're basically making

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Speaker 1: a commentary on how the mainstream media is lying to people.

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Speaker 1: Which is interesting because the Sinclair Broadcasting Group they own

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Speaker 1: right now about like a hundred seventy three affiliate stations

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Speaker 1: around the country. Uh, and there's a merger right now

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Speaker 1: that they're trying to get pushed through which would combine

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Speaker 1: them with Tribune Media, and that would mean that seven

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Speaker 1: out of ten households in this country would be served

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Speaker 1: by Sinclair station. In some form. So I guess the

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Speaker 1: way to think of it is because Sinclair owns all

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Speaker 1: these local news stations, they can tell all these news

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Speaker 1: stations what to say during their broadcast. It's the ABC

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Speaker 1: or NBC or CBS or whatever, it's it the affiliate stations.

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Speaker 1: The ownership is the ones that are giving these directives

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Speaker 1: straight down to the anchors, and a lot of anchors

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Speaker 1: were very uncomfortable with having to do what they call

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Speaker 1: these must read segments. And this was a must read

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Speaker 1: coming from on high from Sinclair, which is a right

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Speaker 1: leaning Trump friendly media group, so leaning exactly. So you'll

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Speaker 1: see when they're vampires, vampires that live in cofference. But yeah,

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Speaker 1: and then they're basically trying to gas light the entire country.

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Speaker 1: So basically, this is a super cut of one of

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Speaker 1: the scary messages about fake news that's out there. But

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Speaker 1: when you cut them all together and realize they're all

424
00:23:56,359 --> 00:23:59,120
Speaker 1: lockstep saying the same thing, it's fucking scary. So check

425
00:23:59,160 --> 00:24:03,000
Speaker 1: this out. Fox and Antonio's Jessica Headley and I'm Ryan Wolf.

426
00:24:03,119 --> 00:24:06,720
Speaker 1: Our greatest responsibility is to serve our treasure. Valley Communities

427
00:24:06,880 --> 00:24:10,280
Speaker 1: deal pass a LUs Crucis Communities Eastern eye with communities

428
00:24:10,400 --> 00:24:13,400
Speaker 1: Mid Michigan communities. We are extremely proud of the quality

429
00:24:13,720 --> 00:24:21,480
Speaker 1: balanced journalism that CBS four News produces, but one story

430
00:24:22,160 --> 00:24:25,400
Speaker 1: in the country plaguing our country. The sharing of biased

431
00:24:25,480 --> 00:24:28,920
Speaker 1: and false news has become all too common on social media.

432
00:24:29,280 --> 00:24:32,920
Speaker 1: More alarming, some media outlets publish the same fake stories

433
00:24:33,200 --> 00:24:36,640
Speaker 1: without checking facts first. The sharing of biased and false

434
00:24:36,760 --> 00:24:44,640
Speaker 1: news has become too common on social quality. They basically

435
00:24:44,680 --> 00:24:51,280
Speaker 1: are without checking first. Unfortunately, the platforms to their own

436
00:24:52,560 --> 00:24:59,040
Speaker 1: and control. And this is extremely dangerous democracy. This is

437
00:24:59,119 --> 00:25:02,680
Speaker 1: extremely dangerous to our democracy. This is extremely dangerous to

438
00:25:02,760 --> 00:25:08,560
Speaker 1: our democracy. This is extremely dangerous. It's extremely democracy. This

439
00:25:08,720 --> 00:25:12,520
Speaker 1: is extremely dangerous to our democracy. This is extremely dangerous

440
00:25:12,560 --> 00:25:17,960
Speaker 1: to our democracy. Yeah, so that is extremely dangerous. Yeah

441
00:25:18,080 --> 00:25:20,719
Speaker 1: so basically right now, so imagine if this merger goes through,

442
00:25:20,720 --> 00:25:24,280
Speaker 1: they will control two stations. And Tribune Media also holds

443
00:25:24,640 --> 00:25:27,760
Speaker 1: a lot of stations in swing states like Pennsylvania, North Carolina,

444
00:25:27,760 --> 00:25:31,480
Speaker 1: Ohio and also massive markets like New York, Chicago in

445
00:25:31,760 --> 00:25:35,560
Speaker 1: l a um So more than likely all you Americans

446
00:25:35,640 --> 00:25:39,919
Speaker 1: night getting people out there probably live in a Sinclair market. Uh.

447
00:25:40,040 --> 00:25:42,600
Speaker 1: And most people get their news still from their local

448
00:25:42,680 --> 00:25:44,800
Speaker 1: news because they still feel they can trust it because

449
00:25:44,800 --> 00:25:46,280
Speaker 1: they're like, oh, these are people from my town. They're

450
00:25:46,280 --> 00:25:48,760
Speaker 1: not getting their fucking orders from somewhere else. Right, that

451
00:25:48,920 --> 00:25:52,119
Speaker 1: is rapidly changing. When we focus on news bias, we

452
00:25:52,320 --> 00:25:55,560
Speaker 1: tend to focus on national news, Fox News US, you know,

453
00:25:55,680 --> 00:26:00,240
Speaker 1: the right focuses on CNN. But yeah, local news is

454
00:26:00,920 --> 00:26:05,040
Speaker 1: wildly biased in some cases. And uh, you know, when

455
00:26:05,080 --> 00:26:07,480
Speaker 1: you look at, for instance, the number of how they

456
00:26:07,560 --> 00:26:11,840
Speaker 1: report on crime, there's a huge bias towards reporting crimes

457
00:26:11,920 --> 00:26:15,399
Speaker 1: by people of color. Like the crimes they put on

458
00:26:15,480 --> 00:26:17,880
Speaker 1: the local news will be people of color, and only

459
00:26:18,000 --> 00:26:22,159
Speaker 1: like ten percent of the crimes committed are people of color. Right,

460
00:26:22,200 --> 00:26:26,159
Speaker 1: And I mean this is a logical evolution from the

461
00:26:26,240 --> 00:26:29,800
Speaker 1: traditional conservative media strategy, which is they have the money.

462
00:26:30,160 --> 00:26:32,440
Speaker 1: The right always has more money. So that you saw

463
00:26:32,480 --> 00:26:35,120
Speaker 1: this happen in talk radio, right, whence the last time

464
00:26:35,400 --> 00:26:40,120
Speaker 1: you heard a left voice on the radio. Yeah, because

465
00:26:40,119 --> 00:26:43,200
Speaker 1: we're all on podcasting exactly. It's true. I think people

466
00:26:43,359 --> 00:26:48,240
Speaker 1: got into podcasting, and podcasting is partially growing because there

467
00:26:48,440 --> 00:26:54,200
Speaker 1: wasn't a left alternative to uh, you know, local talk radio.

468
00:26:54,400 --> 00:26:57,600
Speaker 1: And you're seeing this now like luckily, right, like our

469
00:26:57,760 --> 00:27:01,920
Speaker 1: generation and the generation that comes after us, uh doesn't

470
00:27:02,040 --> 00:27:05,239
Speaker 1: watch local news, which is good. Like this strategy. As

471
00:27:05,359 --> 00:27:07,760
Speaker 1: as terrifying as that video was to hear, and it

472
00:27:07,920 --> 00:27:10,159
Speaker 1: was really scary, like you, oh yeah, it's like some

473
00:27:10,280 --> 00:27:13,640
Speaker 1: fucking orwellingan, it really was. But the thing to remember

474
00:27:13,840 --> 00:27:17,720
Speaker 1: is just like, Okay, don't watch local news, right wait

475
00:27:17,800 --> 00:27:21,119
Speaker 1: you don't already? Great, keep not watching. I think it's

476
00:27:21,119 --> 00:27:23,440
Speaker 1: important though, too, because most people will have to interact

477
00:27:23,480 --> 00:27:25,760
Speaker 1: at some point with someone who watches this. It takes

478
00:27:25,840 --> 00:27:29,040
Speaker 1: it for reality. And what's crazy is a few people,

479
00:27:29,119 --> 00:27:32,720
Speaker 1: like infull Wars types dudes, were retweeting it with no context,

480
00:27:32,840 --> 00:27:35,840
Speaker 1: being like check this out, and the response from a

481
00:27:35,880 --> 00:27:37,840
Speaker 1: lot of people on the right was like yes, e

482
00:27:38,119 --> 00:27:41,440
Speaker 1: check out the mainstream media. They're all fucking brainwashed. And

483
00:27:41,520 --> 00:27:43,720
Speaker 1: then like other people in the twitter threads would be like,

484
00:27:44,080 --> 00:27:46,760
Speaker 1: you know, this is owned by a conservative guy and

485
00:27:46,840 --> 00:27:50,120
Speaker 1: it's pro Trump propaganda arm and their weaponizing your local news,

486
00:27:50,320 --> 00:27:52,720
Speaker 1: and they were like, well, all I'm seeing is CBS,

487
00:27:52,960 --> 00:27:56,320
Speaker 1: ABC and NBC. Tell me how this is like right leaning.

488
00:27:56,359 --> 00:27:58,520
Speaker 1: They're all against Trump and a lot of people you

489
00:27:58,600 --> 00:28:00,760
Speaker 1: have to understand, get it a phil at News stations

490
00:28:00,800 --> 00:28:03,959
Speaker 1: are independently owned, but they just have an agreement with CBS.

491
00:28:04,000 --> 00:28:06,280
Speaker 1: They'll be like, okay, funk with you will air your shows,

492
00:28:06,640 --> 00:28:08,640
Speaker 1: but we'll do the local news. We'll put the CBS

493
00:28:08,720 --> 00:28:11,000
Speaker 1: logo on it, but you don't tell us what to run,

494
00:28:11,320 --> 00:28:13,560
Speaker 1: because that's just part of, you know, keeping CBS from

495
00:28:13,600 --> 00:28:17,240
Speaker 1: controlling all the news everywhere. So with these independent stations,

496
00:28:17,400 --> 00:28:20,000
Speaker 1: they actually do get their marching orders from Sinclair, which

497
00:28:20,040 --> 00:28:22,920
Speaker 1: is why they post shit like the other must runs

498
00:28:22,960 --> 00:28:25,160
Speaker 1: have been stuff like the me too movement is getting

499
00:28:25,240 --> 00:28:28,080
Speaker 1: out of control and like yeah, or just like mentioning

500
00:28:28,160 --> 00:28:30,200
Speaker 1: stories that are in another state, like you'll be in

501
00:28:30,280 --> 00:28:32,720
Speaker 1: Tulsa and they'll be talking about someone in St. Louis

502
00:28:32,760 --> 00:28:35,960
Speaker 1: who got their job taken away because they're conservative. But

503
00:28:36,359 --> 00:28:39,360
Speaker 1: the silver lining on this is that the people watching

504
00:28:40,040 --> 00:28:44,880
Speaker 1: local news are dying because they are really dumb and

505
00:28:45,160 --> 00:28:48,920
Speaker 1: have gutted our health care system. So that's only old people,

506
00:28:49,040 --> 00:28:51,760
Speaker 1: and they're dying at a rapid rate. The death rate

507
00:28:51,840 --> 00:28:54,800
Speaker 1: is going up and people aren't going to live as

508
00:28:54,880 --> 00:28:57,000
Speaker 1: long as they did before. So I think we're in

509
00:28:57,120 --> 00:29:00,600
Speaker 1: the clear. If we all die, we don't have to

510
00:29:00,680 --> 00:29:03,120
Speaker 1: deal with this problem. Unfortunately, there was a report released

511
00:29:03,680 --> 00:29:07,360
Speaker 1: last week that says that news that is fake travels

512
00:29:07,680 --> 00:29:10,800
Speaker 1: way faster and way further on Twitter and social media

513
00:29:11,080 --> 00:29:18,440
Speaker 1: essentially because that's real. That is an actual study by

514
00:29:18,600 --> 00:29:22,360
Speaker 1: M I. T. It was basically two guys who experienced

515
00:29:22,400 --> 00:29:25,680
Speaker 1: the Boston bombing living in Boston, and we're like, you know,

516
00:29:25,800 --> 00:29:28,240
Speaker 1: the only place you could get reports was on social media.

517
00:29:28,360 --> 00:29:31,880
Speaker 1: So they saw, like, you know, that what they read

518
00:29:32,000 --> 00:29:35,760
Speaker 1: was fake, So they did u A. They basically ingested

519
00:29:35,880 --> 00:29:38,320
Speaker 1: all of Twitter from two thousand six to two thousand

520
00:29:38,360 --> 00:29:44,000
Speaker 1: six exactly. Uh, and they found that stories that were

521
00:29:44,080 --> 00:29:47,960
Speaker 1: fake traveled faster, got more retweets, got more likes, And

522
00:29:48,480 --> 00:29:50,400
Speaker 1: they were like, yeah, it kind of makes sense because

523
00:29:50,680 --> 00:29:53,640
Speaker 1: fake stories are able to say whatever the funk. Yeah,

524
00:29:53,720 --> 00:29:57,240
Speaker 1: so it's just wish fulfillment. So I think this is

525
00:29:58,120 --> 00:30:01,600
Speaker 1: a problem in any medium. That that's the thing about

526
00:30:01,760 --> 00:30:04,800
Speaker 1: this particular story that they did the illustration about, because

527
00:30:05,280 --> 00:30:07,880
Speaker 1: it could go either way. They're talking about fake news,

528
00:30:07,960 --> 00:30:11,240
Speaker 1: which is something the right also talks about, so that's

529
00:30:11,520 --> 00:30:15,440
Speaker 1: why they're able to be like, well, what they're talking

530
00:30:15,480 --> 00:30:19,480
Speaker 1: about CNN or they talking about Fox News. We won't

531
00:30:19,480 --> 00:30:22,760
Speaker 1: say pizza gate, but we'll misinform you. Well, and then

532
00:30:22,880 --> 00:30:26,000
Speaker 1: some of these guys have done pizza gate stories, some

533
00:30:26,080 --> 00:30:28,760
Speaker 1: of these affiliates, Like I remember last year there was

534
00:30:28,800 --> 00:30:31,360
Speaker 1: a story where what are these like guys on the

535
00:30:31,480 --> 00:30:35,600
Speaker 1: local news was very plainly all right and just reporting

536
00:30:35,720 --> 00:30:37,800
Speaker 1: on pizza Gate as though it was a real thing.

537
00:30:38,480 --> 00:30:42,040
Speaker 1: Sinclair Executive forced their stations to run pro Trump and

538
00:30:42,160 --> 00:30:47,040
Speaker 1: anti Clinton segments during their evening and morning local news programs.

539
00:30:47,080 --> 00:30:49,760
Speaker 1: It's just that this was the one that they sent

540
00:30:49,880 --> 00:30:52,760
Speaker 1: out that was a word for words script that they

541
00:30:52,800 --> 00:30:57,440
Speaker 1: had to read sort of uh, you know, casting expersions

542
00:30:57,640 --> 00:31:01,040
Speaker 1: on the national news that people got, which you know,

543
00:31:01,560 --> 00:31:03,560
Speaker 1: and a lot of anchors have problems with it because

544
00:31:03,560 --> 00:31:05,440
Speaker 1: they're like, this is not fucking like you know what

545
00:31:05,480 --> 00:31:07,840
Speaker 1: I mean, Like the few people that are left that

546
00:31:07,920 --> 00:31:11,719
Speaker 1: are like this is fucked Like, we can't just be wholesale.

547
00:31:11,920 --> 00:31:15,320
Speaker 1: We're counting on our We're counting on our local run burgundies. Yea,

548
00:31:15,600 --> 00:31:19,160
Speaker 1: like be the voice of reason, the Edward armrows to

549
00:31:19,240 --> 00:31:22,200
Speaker 1: stand up. That's amazing. Yeah, I cannot wait for that.

550
00:31:22,320 --> 00:31:24,200
Speaker 1: Like I want to see them march. I want to

551
00:31:24,280 --> 00:31:27,040
Speaker 1: see their strike. I want to see them former union

552
00:31:28,160 --> 00:31:32,400
Speaker 1: mar at ten. We're hell no, we won't go. Yeah,

553
00:31:32,600 --> 00:31:34,360
Speaker 1: we'll see if We're gonna have a sick and tired

554
00:31:34,400 --> 00:31:36,760
Speaker 1: and not gonna take it anymore moment. Coming out on

555
00:31:36,800 --> 00:31:40,920
Speaker 1: one of these broadcasts in December, Kushner bragged that the

556
00:31:41,000 --> 00:31:44,480
Speaker 1: Trump campaign had struck a deal with Sinclair executives to

557
00:31:44,560 --> 00:31:48,640
Speaker 1: provide exclusive interviews during the primaries and presidential campaign, and

558
00:31:48,920 --> 00:31:53,080
Speaker 1: Sinclair agreed to run them as is without any commentary. Cool.

559
00:31:53,440 --> 00:31:57,080
Speaker 1: So yeah, so that there's one side for you, if

560
00:31:57,160 --> 00:32:00,360
Speaker 1: nothing else, that shows the power of Sinclair Media. That clip,

561
00:32:00,560 --> 00:32:03,640
Speaker 1: and based on what they've done in the past, it's

562
00:32:03,880 --> 00:32:08,280
Speaker 1: clearly going to be a problem for democracy. The Trump

563
00:32:08,600 --> 00:32:10,240
Speaker 1: I want to see it go as far right as

564
00:32:10,280 --> 00:32:12,480
Speaker 1: it can go. I want to see some fucking you

565
00:32:12,560 --> 00:32:17,120
Speaker 1: know dude named like Chuck mcgonicle just be like now

566
00:32:17,320 --> 00:32:21,160
Speaker 1: more with the weather. Here's a jew. It's just like

567
00:32:21,280 --> 00:32:23,640
Speaker 1: a guy dressed like a rabbi, like dress like bi

568
00:32:23,760 --> 00:32:27,000
Speaker 1: Rabbi from my bar. Was like, you know, I I'm

569
00:32:27,120 --> 00:32:30,520
Speaker 1: feeling because I can control it. I'm feeling right tomorrow

570
00:32:31,840 --> 00:32:34,160
Speaker 1: dolls about the chem trail report. Right, Oh well, we're

571
00:32:34,200 --> 00:32:36,480
Speaker 1: putting them out there and we're making him make you gay.

572
00:32:37,040 --> 00:32:40,920
Speaker 1: So good luck. So that's a stay indoors warning from

573
00:32:41,080 --> 00:32:45,240
Speaker 1: Weather Rabbi the weather Jew. All right, I wanted to

574
00:32:45,360 --> 00:32:48,840
Speaker 1: talk about another trend I was seeing over the weekend

575
00:32:49,000 --> 00:32:57,080
Speaker 1: on Twitter. Yeah, how that's bad Internet? Uh So Andy

576
00:32:57,200 --> 00:33:00,880
Speaker 1: Richter retweeted someone over the weekend talking about how they

577
00:33:00,920 --> 00:33:04,800
Speaker 1: had heard that those of us in Hollywood are involved

578
00:33:04,880 --> 00:33:10,440
Speaker 1: in Satanic rituals to further our careers. And uh, I

579
00:33:10,600 --> 00:33:14,959
Speaker 1: then searched for Satanic ritual abuse on Twitter and they

580
00:33:15,000 --> 00:33:19,440
Speaker 1: are just so many tweets about Satanic ritual abuse. And

581
00:33:19,840 --> 00:33:24,520
Speaker 1: this kind of coincides with, uh the Roseanne story that

582
00:33:24,640 --> 00:33:27,400
Speaker 1: we were talking about last week. Uh So we talked

583
00:33:27,440 --> 00:33:31,160
Speaker 1: about how, you know, Roseanne got huge ratings and people were,

584
00:33:32,080 --> 00:33:37,360
Speaker 1: uh calling it the white people's black panther. So Roseanne

585
00:33:37,840 --> 00:33:40,280
Speaker 1: the story as of last week was that her character

586
00:33:40,680 --> 00:33:44,200
Speaker 1: was a you know, conservative, and there was a conservative

587
00:33:44,280 --> 00:33:48,560
Speaker 1: voice in mainstream media and people were treating it as Okay,

588
00:33:48,600 --> 00:33:52,960
Speaker 1: this is like a balancing thing. Um. But Roseanne has

589
00:33:53,040 --> 00:33:56,920
Speaker 1: come out uh and her Twitter is really problematic and

590
00:33:57,040 --> 00:34:02,239
Speaker 1: she has supported she supported a lot of these, uh

591
00:34:02,720 --> 00:34:09,919
Speaker 1: sort of crazy conspiracy theories, including that Hollywood elites sacrifice

592
00:34:10,239 --> 00:34:15,319
Speaker 1: children to Satan. Wait Roseanne bars, yes, I know, can

593
00:34:15,360 --> 00:34:18,920
Speaker 1: you believe it? Not Roseanne Arquette. Wow, I would have

594
00:34:19,000 --> 00:34:25,920
Speaker 1: thought Rosanne Carter Cash. No, No, it is the the Ross.

595
00:34:26,920 --> 00:34:29,480
Speaker 1: But yeah, so she shocker. Was she tweeting over the

596
00:34:29,560 --> 00:34:33,440
Speaker 1: weekend about his impressive numbers fighting pedophile rings? Yeah? He

597
00:34:33,600 --> 00:34:37,640
Speaker 1: was basically making stuff up about how many pedophiles Trump

598
00:34:37,719 --> 00:34:41,600
Speaker 1: has straight up pouned since was Roseanne was? Yeah, and

599
00:34:41,840 --> 00:34:45,760
Speaker 1: she was saying Trump's impressive numbers fighting pedophile rings possibly

600
00:34:45,840 --> 00:34:50,880
Speaker 1: controlled by Hollywood and politicians with hashtag Peto gate. Uh

601
00:34:51,840 --> 00:34:54,640
Speaker 1: and then she also did pizza gate, right, and then

602
00:34:54,719 --> 00:34:57,960
Speaker 1: that's crazy. Uh So Yeah, a lot of this is

603
00:34:58,560 --> 00:35:01,279
Speaker 1: she's just on board of this Q guy, this whole

604
00:35:01,360 --> 00:35:04,879
Speaker 1: Q and on. So what is Q and on? Because

605
00:35:04,880 --> 00:35:07,719
Speaker 1: I've been seeing that around these stories. Yeah, explain it

606
00:35:07,800 --> 00:35:10,959
Speaker 1: to me because I know that it's a conservative conspiracy theory,

607
00:35:11,000 --> 00:35:13,400
Speaker 1: but I haven't found out the juicy details. Yes, So

608
00:35:13,800 --> 00:35:17,239
Speaker 1: the gist of it is that this Q person is

609
00:35:17,360 --> 00:35:20,320
Speaker 1: basically like part of the deep state. He makes the

610
00:35:20,880 --> 00:35:25,440
Speaker 1: cool pen bombs for James Bond. Yeah, exactly, that cute,

611
00:35:25,520 --> 00:35:28,160
Speaker 1: but he's he's pivoted into a right wing conspiracy or

612
00:35:28,200 --> 00:35:30,840
Speaker 1: a fact depending on what you So he went on

613
00:35:31,040 --> 00:35:37,560
Speaker 1: like the four chan uh and and and I got

614
00:35:37,640 --> 00:35:40,800
Speaker 1: I have a Q level clearance, and basically is like

615
00:35:41,280 --> 00:35:44,840
Speaker 1: it's like the fairy godmother of all right conspiracy theories,

616
00:35:44,920 --> 00:35:48,520
Speaker 1: like saying, don't worry, the Mueller probe isn't actually about

617
00:35:48,640 --> 00:35:53,600
Speaker 1: Donald Trump. It's actually about Obama and Hillary Clinton and

618
00:35:53,680 --> 00:35:56,480
Speaker 1: even John McCain because they are the ones doing the

619
00:35:56,600 --> 00:36:01,040
Speaker 1: Russia collusion. And and Trump is playing in dimensional chess

620
00:36:01,440 --> 00:36:04,280
Speaker 1: and he is just pretending to be nice to Russia

621
00:36:04,600 --> 00:36:08,440
Speaker 1: and give the appearance to attract Robert Mueller's investigation to

622
00:36:08,560 --> 00:36:10,800
Speaker 1: then have like a knock on effect of finding the

623
00:36:11,040 --> 00:36:14,960
Speaker 1: true traders, and that is Obama and Hillary. So therefore

624
00:36:15,040 --> 00:36:18,040
Speaker 1: worry not Obama and Hillary already under arrest or like

625
00:36:18,120 --> 00:36:20,960
Speaker 1: there are versions where they already are under arrest and

626
00:36:21,000 --> 00:36:23,160
Speaker 1: are about to be indicted. That's why you haven't seen

627
00:36:23,200 --> 00:36:26,040
Speaker 1: Obama's ankles in a while, because he has an ankle

628
00:36:26,120 --> 00:36:30,239
Speaker 1: bracelet that is tracking him. Because there's something like that too. Yeah,

629
00:36:30,400 --> 00:36:33,600
Speaker 1: it's it's it sucks. It's really itchy when he's jet

630
00:36:33,680 --> 00:36:36,560
Speaker 1: skiing with Richard Branson instead of doing anything to help

631
00:36:36,680 --> 00:36:39,800
Speaker 1: the America. It's really itchy, exactly. Yeah, So they have

632
00:36:39,880 --> 00:36:42,400
Speaker 1: secret ankle monitors. They even said some shit about like

633
00:36:42,520 --> 00:36:45,560
Speaker 1: the Vegas massacre was like an inside job with the

634
00:36:45,600 --> 00:36:49,360
Speaker 1: Saudi Clinton cabal. There's a comment for everything. Uh. And

635
00:36:49,440 --> 00:36:51,560
Speaker 1: we will actually get much deeper in this with our

636
00:36:51,600 --> 00:36:53,960
Speaker 1: boy Jared Holt from right Wing Watch, who is an

637
00:36:54,040 --> 00:36:57,640
Speaker 1: expert on this whole fiasco, because this this conspiracy theory

638
00:36:57,719 --> 00:37:00,440
Speaker 1: overtime has evolved in so many different ways and cause problems.

639
00:37:00,480 --> 00:37:03,880
Speaker 1: But yes, for Rosanne to then being like, yo que

640
00:37:04,200 --> 00:37:09,360
Speaker 1: dm me, like I want the hot I was like

641
00:37:09,520 --> 00:37:13,160
Speaker 1: asking Q to d m her, that's amazing, just to

642
00:37:13,560 --> 00:37:16,320
Speaker 1: put it in my show. Q is just somebody in

643
00:37:16,440 --> 00:37:20,200
Speaker 1: a forum who once claimed that they are like a

644
00:37:20,360 --> 00:37:23,680
Speaker 1: secret agent spy, which if you've ever spent time on

645
00:37:23,800 --> 00:37:26,040
Speaker 1: a forum on the Internet, you know that it's just

646
00:37:26,280 --> 00:37:30,000
Speaker 1: full of you know, twelve year old children who are like, yeah, yeah,

647
00:37:30,000 --> 00:37:34,320
Speaker 1: I'm a CIA agent and show me your boobs right exactly,

648
00:37:34,440 --> 00:37:37,880
Speaker 1: like it's a matter national security. I'm a female body inspector.

649
00:37:38,920 --> 00:37:42,960
Speaker 1: I've got I've got Class double D clearance. I'm definitely

650
00:37:43,000 --> 00:37:47,080
Speaker 1: not fourteen years old. But that's crazy that this whole

651
00:37:47,840 --> 00:37:52,319
Speaker 1: scaffolding of conspiracy theories and you know, intrigue has been

652
00:37:52,400 --> 00:37:56,360
Speaker 1: built on a single person who is just anonymously claiming

653
00:37:56,480 --> 00:37:59,800
Speaker 1: that he has access to like top level security and

654
00:37:59,880 --> 00:38:04,160
Speaker 1: for nation on a forum. Like, yeah, that's that's really sad.

655
00:38:04,520 --> 00:38:07,600
Speaker 1: It's old people that are believing this, so they weren't

656
00:38:07,600 --> 00:38:10,680
Speaker 1: around even young, because the four Chune crew is not

657
00:38:10,800 --> 00:38:14,040
Speaker 1: old people. But I feel like it's being propagated by

658
00:38:14,200 --> 00:38:16,719
Speaker 1: people who have never seen a message board before. It

659
00:38:16,800 --> 00:38:18,239
Speaker 1: starts on Fortune and then it gets on Twitter, and

660
00:38:18,280 --> 00:38:20,640
Speaker 1: then your grandma season it's like, well, you know, cues

661
00:38:20,760 --> 00:38:22,840
Speaker 1: telling me the storm is coming, right, And that's but

662
00:38:22,960 --> 00:38:25,000
Speaker 1: that's what's so great about it, is like there's this

663
00:38:25,160 --> 00:38:29,440
Speaker 1: whole like infrastructure of like old ladies like Rosean who

664
00:38:29,520 --> 00:38:32,719
Speaker 1: are just like what they do is they put the

665
00:38:32,840 --> 00:38:36,200
Speaker 1: messages on some sort of board, and what are they

666
00:38:36,239 --> 00:38:38,120
Speaker 1: gonna lie in them? How do they get it on

667
00:38:38,200 --> 00:38:41,399
Speaker 1: the board if it's a lie? Right right? Right? Yeah? Yeah.

668
00:38:41,520 --> 00:38:45,080
Speaker 1: So just some of these tweets from Andy Richter quote one,

669
00:38:45,080 --> 00:38:47,560
Speaker 1: I watched a video about how nearly every celebrity is

670
00:38:47,600 --> 00:38:50,479
Speaker 1: involved in satanic ritual abuse in order to further their fame.

671
00:38:51,040 --> 00:38:55,239
Speaker 1: Really ramping or Hollywood and Soros and HRC many more

672
00:38:55,440 --> 00:38:58,359
Speaker 1: were mentioned as taking part two. Someone's like, oh god,

673
00:38:58,400 --> 00:39:00,560
Speaker 1: a couple of weeks ago, I saw something about hannibalism

674
00:39:00,640 --> 00:39:03,759
Speaker 1: being a thing out there, did not want to believe it. Like,

675
00:39:04,239 --> 00:39:08,279
Speaker 1: and then a young woman, Ella Cruz tweeted, Cannibal club

676
00:39:08,320 --> 00:39:12,040
Speaker 1: in Los Angeles offers young, healthy human meat, two elites

677
00:39:12,080 --> 00:39:15,520
Speaker 1: and Hollywood filmmakers and then links off to this time

678
00:39:15,560 --> 00:39:21,000
Speaker 1: with the Kogi truck. Yeah, it's the danger dogs. And

679
00:39:21,080 --> 00:39:25,040
Speaker 1: it's just like a poorly designed web post that they're

680
00:39:25,080 --> 00:39:29,000
Speaker 1: pointing to being right, it must be. It's on this

681
00:39:29,160 --> 00:39:32,759
Speaker 1: angel Fire page because it's called cannibal club, it must

682
00:39:32,840 --> 00:39:35,320
Speaker 1: mean that. And also, you know it's only appealing to

683
00:39:35,520 --> 00:39:39,560
Speaker 1: old Christian conservative people because they want to drag Satanists

684
00:39:39,600 --> 00:39:42,359
Speaker 1: into it, people who worship Satan, like as if like, oh,

685
00:39:42,520 --> 00:39:46,080
Speaker 1: Satan equals they eat babies. Well, the eighties was you know,

686
00:39:46,200 --> 00:39:50,040
Speaker 1: shot through with this conspiracy theory about that. Uh. You know,

687
00:39:50,520 --> 00:39:55,000
Speaker 1: ritualistic Satanic abuse was taking place. Most of it came

688
00:39:55,120 --> 00:39:59,720
Speaker 1: from people quote recovering memories. Uh. And that was basically

689
00:40:00,040 --> 00:40:04,560
Speaker 1: a debunked form of psychotherapy where they would put people

690
00:40:04,840 --> 00:40:09,080
Speaker 1: under hypnotism and like basically put them under and then

691
00:40:09,160 --> 00:40:12,360
Speaker 1: have them lie. Why yeah they make and then what

692
00:40:12,520 --> 00:40:16,960
Speaker 1: happened and like guide them on these like deep meditations

693
00:40:17,120 --> 00:40:20,040
Speaker 1: where uh they would come up with things that they

694
00:40:20,440 --> 00:40:24,279
Speaker 1: had forced themselves to forget and it's like, no, you

695
00:40:24,400 --> 00:40:28,480
Speaker 1: actually didn't remember that because it never happened. The funked

696
00:40:28,560 --> 00:40:31,520
Speaker 1: up thing about all this is that all of these

697
00:40:31,600 --> 00:40:38,480
Speaker 1: conspiracy theories, there's a real thing that's like not as crazy,

698
00:40:38,719 --> 00:40:43,160
Speaker 1: that's like a little less sensationalistic that's happening. Like Brian

699
00:40:43,360 --> 00:40:47,960
Speaker 1: Singer is like a real guy who allegedly uh like

700
00:40:48,120 --> 00:40:51,279
Speaker 1: and I use extreme air quotes around allegedly uh like,

701
00:40:51,719 --> 00:40:55,600
Speaker 1: has ritually abused a lot of young men. Right. These

702
00:40:55,680 --> 00:41:00,160
Speaker 1: people exist in Hollywood, they exist in athletics with Larry Nash, sir.

703
00:41:00,400 --> 00:41:03,400
Speaker 1: You know, they exist like all this ship is happening,

704
00:41:03,680 --> 00:41:06,759
Speaker 1: you know, all throughout all of British politics, Like I

705
00:41:06,840 --> 00:41:09,200
Speaker 1: think in any industry, in any segment, there are these

706
00:41:09,239 --> 00:41:12,040
Speaker 1: predatory people. But we're also in the midst of like

707
00:41:12,200 --> 00:41:17,160
Speaker 1: the big like unburdening of the victims of this era

708
00:41:17,400 --> 00:41:21,480
Speaker 1: of like horrible abuse, like the me too era is

709
00:41:21,600 --> 00:41:24,560
Speaker 1: the like you know, casting the light upon the shadow,

710
00:41:24,680 --> 00:41:27,480
Speaker 1: like you know, things and these things that work. Conspiracy

711
00:41:27,520 --> 00:41:29,600
Speaker 1: theories are now proven to be fact, but it's just

712
00:41:29,800 --> 00:41:33,480
Speaker 1: not enough for some people. I guess like it's like that.

713
00:41:33,560 --> 00:41:35,760
Speaker 1: I've always thought of it as the person who lives

714
00:41:35,880 --> 00:41:40,160
Speaker 1: in the city that's being fracked and complains about chem

715
00:41:40,239 --> 00:41:43,359
Speaker 1: trails right where. It's like, no, it's below your feet,

716
00:41:43,400 --> 00:41:46,960
Speaker 1: it's not at the sky. It's happening like like, look

717
00:41:47,080 --> 00:41:49,520
Speaker 1: the right. I just wish that you could put blinders

718
00:41:49,560 --> 00:41:52,600
Speaker 1: on all these people and have them go after you know,

719
00:41:52,800 --> 00:41:56,560
Speaker 1: Larry Nasser or the next you know whatever, you know,

720
00:41:56,680 --> 00:42:00,319
Speaker 1: Dan Schneider from Nickelodeon, or Harvey Weinstein, because in the end,

721
00:42:00,480 --> 00:42:02,960
Speaker 1: all of these conspiracies are only there to serve to

722
00:42:03,200 --> 00:42:05,920
Speaker 1: like a way to make sense of their political reality

723
00:42:05,960 --> 00:42:07,480
Speaker 1: they want to live in, because it has nothing to

724
00:42:07,600 --> 00:42:10,360
Speaker 1: do with the child victims. It's just wait, what's the

725
00:42:10,400 --> 00:42:15,360
Speaker 1: score versus liberals versus conservatives? Both liberals are Satan worshiping

726
00:42:15,520 --> 00:42:20,080
Speaker 1: child eaters. Have you see anything about ritualistic Satanic abuse

727
00:42:20,200 --> 00:42:22,440
Speaker 1: or r s A. If you see anything about Q

728
00:42:22,640 --> 00:42:25,560
Speaker 1: and on. There's all these different things that are tied

729
00:42:25,640 --> 00:42:30,640
Speaker 1: together where people are connecting everything too. If you see

730
00:42:30,680 --> 00:42:35,040
Speaker 1: something about Trump catching sexual predators and how sexual predator

731
00:42:35,239 --> 00:42:38,359
Speaker 1: and sexual abuse arrests shot up in the first month

732
00:42:38,440 --> 00:42:42,520
Speaker 1: of his presidency. That's based on this same conspiracy theory

733
00:42:42,600 --> 00:42:47,480
Speaker 1: where some right wing uh conspiracy theorists reported that he

734
00:42:47,600 --> 00:42:52,279
Speaker 1: made a staggering d plus arrests on sex trafficking in

735
00:42:52,360 --> 00:42:55,239
Speaker 1: his first thirty days. And first of all, they were

736
00:42:55,480 --> 00:42:58,520
Speaker 1: like referring to arrests that were made by local law

737
00:42:58,680 --> 00:43:03,040
Speaker 1: enforcement that had been in office and planning these since

738
00:43:03,120 --> 00:43:06,520
Speaker 1: well into the Obama administration. And you know, it makes

739
00:43:06,520 --> 00:43:08,480
Speaker 1: sense that Trump would do this, you know what I mean,

740
00:43:08,680 --> 00:43:11,440
Speaker 1: Like it makes sense that he would like go undercover

741
00:43:11,680 --> 00:43:15,920
Speaker 1: as a dude who brags about you know, boning uh

742
00:43:16,120 --> 00:43:19,920
Speaker 1: Mary kay La Tourno or whoever, like whatever, like, uh,

743
00:43:20,120 --> 00:43:27,920
Speaker 1: you know, Tracy Bingham would then leak purposefully he grabs

744
00:43:28,000 --> 00:43:30,520
Speaker 1: women by the pussy, he would leave that purposefully to

745
00:43:30,680 --> 00:43:35,000
Speaker 1: get the sexual predators to think that he was their friends. Yeah,

746
00:43:35,160 --> 00:43:38,440
Speaker 1: and then the whole time he's he's snape from his

747
00:43:38,520 --> 00:43:42,600
Speaker 1: snakest Trump trumpet Snake we just added a new one

748
00:43:42,680 --> 00:43:46,960
Speaker 1: for ye, Trump is Snape. He's been posing as this

749
00:43:47,160 --> 00:43:50,960
Speaker 1: guy who's horrible to women and like constantly demeans and

750
00:43:51,040 --> 00:43:54,399
Speaker 1: abuses them in order to get rid of the guys

751
00:43:54,440 --> 00:43:59,880
Speaker 1: who actually do folks Satan pedophile child eaters, folks. All right,

752
00:44:01,120 --> 00:44:03,839
Speaker 1: we're gonna take a quick break to kind of further

753
00:44:03,960 --> 00:44:15,560
Speaker 1: solidify this theory. Uh, and we'll be right back. And

754
00:44:15,719 --> 00:44:18,560
Speaker 1: we're back. Uh. And we wanted to hit on real

755
00:44:18,680 --> 00:44:23,120
Speaker 1: quickly Yesterday morning, Easter Morning, Happy Easter, and pass over

756
00:44:23,239 --> 00:44:26,759
Speaker 1: to everyone. I hope you guys had great holidays. Uh.

757
00:44:27,160 --> 00:44:32,080
Speaker 1: The President spent his Easter weekend. Chief of staff John

758
00:44:32,160 --> 00:44:34,680
Speaker 1: Kelly spent it with his family. You know. The other

759
00:44:34,760 --> 00:44:38,440
Speaker 1: people who are supposedly adults spent the holiday with their family.

760
00:44:38,560 --> 00:44:42,600
Speaker 1: But Trump spent the holiday down at mar Lago with

761
00:44:42,880 --> 00:44:47,920
Speaker 1: senior policy adviser Stephen Miller together, and then he golfed

762
00:44:47,960 --> 00:44:52,279
Speaker 1: with Sean Hannity on Saturday. He just but this is

763
00:44:52,440 --> 00:44:54,840
Speaker 1: this is what I'm talking about. The similarity to the

764
00:44:55,120 --> 00:44:57,640
Speaker 1: Death of Stalin movie, and some of the things you

765
00:44:57,760 --> 00:45:01,240
Speaker 1: see happening in that movie is that it's just whatever's

766
00:45:01,320 --> 00:45:05,640
Speaker 1: on his calendar right now affects the future of our country,

767
00:45:05,960 --> 00:45:17,759
Speaker 1: like dramatically, right, And that's crazy, which is cool. Uh.

768
00:45:18,239 --> 00:45:22,000
Speaker 1: And there was a story based on a BuzzFeed news

769
00:45:22,440 --> 00:45:26,520
Speaker 1: article that ran last week about this. Uh. They call

770
00:45:26,560 --> 00:45:31,560
Speaker 1: it a caravan of immigrants coming from Central America and

771
00:45:31,800 --> 00:45:36,719
Speaker 1: walking up to the Mexico border, and you know, they

772
00:45:37,040 --> 00:45:41,000
Speaker 1: claimed that it was all part of DACCA. I guess

773
00:45:41,400 --> 00:45:44,600
Speaker 1: or that's how the President chose to interpret it, because

774
00:45:44,600 --> 00:45:48,040
Speaker 1: he went on this huge tweet storm about how uh

775
00:45:48,280 --> 00:45:51,080
Speaker 1: you know this was an example of people trying to

776
00:45:51,160 --> 00:45:56,600
Speaker 1: take advantage of DCCA uh, which program that only benefits

777
00:45:56,680 --> 00:45:59,160
Speaker 1: people who came under the age of eighteen before two

778
00:45:59,200 --> 00:46:03,319
Speaker 1: thou seven. Right, So these immigrants have a fucking time

779
00:46:03,400 --> 00:46:06,719
Speaker 1: machine in their caravan in which they have Actually that's

780
00:46:06,760 --> 00:46:09,239
Speaker 1: a distraction, my man, because that's a smoke screen for them.

781
00:46:09,239 --> 00:46:11,200
Speaker 1: They actually trim traveling and they were in two thousand

782
00:46:11,280 --> 00:46:14,200
Speaker 1: six coming over. So we need Jean Claude van Dam

783
00:46:14,360 --> 00:46:17,120
Speaker 1: the time cop on this to stop these immigrants. Boom

784
00:46:17,160 --> 00:46:18,960
Speaker 1: case solf, folks, the only way we're gonna stop these

785
00:46:18,960 --> 00:46:21,520
Speaker 1: immigrants is with a time cop with time travel, There's

786
00:46:21,880 --> 00:46:24,080
Speaker 1: there's only one way, okay, folks, We're gonna get him.

787
00:46:24,120 --> 00:46:26,759
Speaker 1: He's gonna kick him back into the twenty century. That's

788
00:46:26,760 --> 00:46:28,400
Speaker 1: how it's gonna We're gonna make them hug each other

789
00:46:28,560 --> 00:46:30,920
Speaker 1: in the same spacetime continuing. They will melt into each

790
00:46:30,920 --> 00:46:33,040
Speaker 1: other like Ron Silver's character did in Time cops. I'm

791
00:46:33,040 --> 00:46:35,680
Speaker 1: a very good friends of Dennis Rodman. He knows we're

792
00:46:35,719 --> 00:46:37,279
Speaker 1: on it. They were in double team, all right, So

793
00:46:37,400 --> 00:46:40,839
Speaker 1: let's just map how this tweet work how he came

794
00:46:40,880 --> 00:46:44,120
Speaker 1: to this misunderstanding. So there there is a caravan of

795
00:46:44,600 --> 00:46:48,600
Speaker 1: you know, over a thousand people coming up from Central America.

796
00:46:49,680 --> 00:46:53,080
Speaker 1: You know, this is an annual pilgrimage, I guess. And uh,

797
00:46:53,719 --> 00:46:56,920
Speaker 1: these are people who are seeking asylum. They're trying to

798
00:46:57,480 --> 00:47:00,400
Speaker 1: get to America because they feel like they're in danger

799
00:47:00,680 --> 00:47:05,320
Speaker 1: in their home countries or you know, escaping just debilitating poverty,

800
00:47:05,719 --> 00:47:08,400
Speaker 1: or you know, any of those things. So thousands of

801
00:47:08,480 --> 00:47:11,200
Speaker 1: them are coming up. Fox News catches wind of this,

802
00:47:11,440 --> 00:47:16,359
Speaker 1: puts it on because it is their audiences just fever dream. Yeah,

803
00:47:16,880 --> 00:47:20,360
Speaker 1: caravan of of of brown people, brown people looking to

804
00:47:20,520 --> 00:47:23,680
Speaker 1: enter the US. Right, So he hears caravan, and he

805
00:47:23,840 --> 00:47:28,160
Speaker 1: hears maybe he hears asylum. And because DOCCA has the

806
00:47:28,239 --> 00:47:32,120
Speaker 1: word asylum associated with it, that's I guess. I think

807
00:47:32,160 --> 00:47:35,239
Speaker 1: it's just the ideas brown people looking to get into

808
00:47:35,280 --> 00:47:38,600
Speaker 1: the country. Uh. And in his mind DOCCO was away

809
00:47:38,680 --> 00:47:42,200
Speaker 1: for illegal people or people who came undocumented as minors

810
00:47:42,280 --> 00:47:45,040
Speaker 1: to get a path to citizenship or just to stay.

811
00:47:45,360 --> 00:47:48,040
Speaker 1: He's conflating the two, which makes again, it makes no

812
00:47:48,160 --> 00:47:49,719
Speaker 1: sense because it's not like they're going to get to

813
00:47:49,800 --> 00:47:52,560
Speaker 1: the border and they're gonna say asylum and everyone gets in,

814
00:47:52,680 --> 00:47:54,840
Speaker 1: like there is a process that you have to undergo

815
00:47:55,120 --> 00:47:58,640
Speaker 1: the immigration court that is going to determine Okay, you

816
00:47:58,800 --> 00:48:01,200
Speaker 1: actually are in danger, we send you back, so we're

817
00:48:01,200 --> 00:48:03,400
Speaker 1: gonna let you stay. And you know, some of the

818
00:48:03,480 --> 00:48:06,719
Speaker 1: time they find that people aren't in enough danger and

819
00:48:06,880 --> 00:48:08,799
Speaker 1: do send them back, which is sad because I think

820
00:48:08,800 --> 00:48:11,480
Speaker 1: if you saw John Oliver yesterday, they played a snippet

821
00:48:11,520 --> 00:48:13,759
Speaker 1: of what one of those hearings goes like, and yeah,

822
00:48:13,760 --> 00:48:15,680
Speaker 1: it was like basical saying like everyone's being killed, and

823
00:48:15,760 --> 00:48:17,719
Speaker 1: there's like okay, I'm sorry, like you're gonna have to

824
00:48:17,760 --> 00:48:20,480
Speaker 1: go back, like it's killed killed or you know, and

825
00:48:20,520 --> 00:48:22,839
Speaker 1: then how painfully because he highlights a bunch of people

826
00:48:22,880 --> 00:48:24,680
Speaker 1: who were saying, oh, if I go back, I'm probably

827
00:48:25,000 --> 00:48:26,360
Speaker 1: not going to be in good shape, and sadly a

828
00:48:26,440 --> 00:48:30,360
Speaker 1: few of them were, you know killed. So in summation,

829
00:48:30,760 --> 00:48:34,719
Speaker 1: he spends the weekend with Hannity Stephen Miller there in

830
00:48:34,800 --> 00:48:38,200
Speaker 1: his ear they're saying, you know, we're hearing from your

831
00:48:38,239 --> 00:48:42,560
Speaker 1: base that, uh, they're worried. They think you're soft on

832
00:48:42,640 --> 00:48:48,200
Speaker 1: immigrants because of DACA, presumably. And so he then sees

833
00:48:48,320 --> 00:48:52,239
Speaker 1: the Fox and Friends uh story about the caravan of

834
00:48:52,360 --> 00:48:57,000
Speaker 1: Brown's coming up, and those two things combine and come

835
00:48:57,000 --> 00:48:59,799
Speaker 1: out as this tweet that he kind of bits out

836
00:48:59,840 --> 00:49:02,960
Speaker 1: there of the caravans are coming, So no more DOCCA deal.

837
00:49:03,400 --> 00:49:06,520
Speaker 1: But DOCCA has nothing to do with these people, uh,

838
00:49:06,600 --> 00:49:09,080
Speaker 1: And it's a buzzword that gets his base real riled up,

839
00:49:09,120 --> 00:49:11,480
Speaker 1: and then caravans makes him scared, right, And on top

840
00:49:11,520 --> 00:49:13,800
Speaker 1: of that all, there is no DOCTA deal to begin with,

841
00:49:14,040 --> 00:49:17,360
Speaker 1: because DOCCA is the program that he ended, uh, and

842
00:49:17,640 --> 00:49:19,319
Speaker 1: was like, well, you figure something out, And then when

843
00:49:19,360 --> 00:49:21,640
Speaker 1: the Congress did figure out a bipartisan way to address it,

844
00:49:21,680 --> 00:49:22,800
Speaker 1: he was like, no, I don't want to hear it.

845
00:49:23,160 --> 00:49:25,080
Speaker 1: There's no deal anyway. So there was never gonna be

846
00:49:25,080 --> 00:49:27,680
Speaker 1: a deal. It's such a weird double edged sword because

847
00:49:27,719 --> 00:49:29,719
Speaker 1: he's so insecure in what he knows that if you

848
00:49:29,880 --> 00:49:31,920
Speaker 1: are seemingly more intelligent than he is and you say

849
00:49:32,000 --> 00:49:33,759
Speaker 1: something that makes sense to him, he'll agree with you

850
00:49:34,080 --> 00:49:37,080
Speaker 1: left or right. So we got to take their guns. Yeah, right,

851
00:49:37,120 --> 00:49:39,080
Speaker 1: He's like, oh, yeah, more aggressive about just take the guns,

852
00:49:39,160 --> 00:49:42,799
Speaker 1: due process later and like what the fund saying, Oh no, okay, sorry,

853
00:49:42,880 --> 00:49:46,120
Speaker 1: round up the immigrants as caravans coming. It's like Jesus Christ,

854
00:49:46,880 --> 00:49:49,319
Speaker 1: n I met with the n r A and we're good.

855
00:49:50,840 --> 00:49:52,880
Speaker 1: By the way, have you seen their orbits tremendous. I

856
00:49:54,000 --> 00:49:57,839
Speaker 1: got the or Milannia plug the orban. Yeah, show them

857
00:49:57,840 --> 00:50:00,480
Speaker 1: how it lights up. Yeah, she looked fucking greeted. By

858
00:50:00,560 --> 00:50:05,680
Speaker 1: the way, So as Trump was ranting about this, like

859
00:50:05,840 --> 00:50:09,200
Speaker 1: as he was walking into some Easter event, Milania was

860
00:50:09,280 --> 00:50:12,680
Speaker 1: standing next to him and just looked. She looked like

861
00:50:12,719 --> 00:50:16,400
Speaker 1: a terminator like she looks just straight up like stone faced,

862
00:50:16,560 --> 00:50:20,080
Speaker 1: like almost intentionally stone faced with their sunglasses on. I

863
00:50:20,160 --> 00:50:24,719
Speaker 1: want somebody to uh try and look into the fake

864
00:50:24,800 --> 00:50:28,799
Speaker 1: Milannia Milannia double conspiracy theory. Come on, guys, come on left,

865
00:50:28,880 --> 00:50:31,480
Speaker 1: we need our own conspiracy theories. Like gang, you're thinking

866
00:50:31,520 --> 00:50:33,560
Speaker 1: it's fake Millannia. I think it might be fake Milannia.

867
00:50:33,640 --> 00:50:35,640
Speaker 1: You guys. I think at the very least she is

868
00:50:35,680 --> 00:50:39,359
Speaker 1: contractually obligated to hold his hand for a certain number

869
00:50:39,360 --> 00:50:41,799
Speaker 1: of seconds in public, because she's standing there stone face

870
00:50:41,920 --> 00:50:44,759
Speaker 1: holding his hand while he like rants about immigrants and

871
00:50:44,840 --> 00:50:46,920
Speaker 1: how Docca has no chance and then they turn and

872
00:50:47,000 --> 00:50:51,560
Speaker 1: walk and she's just like, yeah, when he was up

873
00:50:51,600 --> 00:50:54,319
Speaker 1: on like a balcony talking some other crazy ship when

874
00:50:54,320 --> 00:50:57,160
Speaker 1: he was ranting like the Easter, I think it was

875
00:50:57,320 --> 00:50:59,200
Speaker 1: right after before, but like he's not with the Eastern

876
00:50:59,239 --> 00:51:01,759
Speaker 1: but in the same event, and like she is so

877
00:51:02,080 --> 00:51:04,520
Speaker 1: sullen standing next to him. She looks like if it

878
00:51:04,640 --> 00:51:06,239
Speaker 1: was like a rap show. She looked like the hype

879
00:51:06,280 --> 00:51:08,880
Speaker 1: man that's about to quit, like the entourage, like because

880
00:51:08,920 --> 00:51:11,279
Speaker 1: she just like and he's like he was hyping up

881
00:51:11,280 --> 00:51:14,680
Speaker 1: the crowd. She almost looked like if someone's face like

882
00:51:14,840 --> 00:51:18,239
Speaker 1: not saying anything, could say fuck you, it was this face. Yeah.

883
00:51:18,480 --> 00:51:20,359
Speaker 1: I think she was mad because this is the first

884
00:51:20,440 --> 00:51:25,480
Speaker 1: year that Sean Spicer hasn't been the Easter bunny. Yeah, alright, spicy,

885
00:51:26,320 --> 00:51:28,560
Speaker 1: Yeah that from that moment that you're talking about. Tiffany

886
00:51:28,600 --> 00:51:30,760
Speaker 1: Trump also walked into the shot and she's like, oh, shoot,

887
00:51:30,800 --> 00:51:33,040
Speaker 1: dam I crossing the camera spread. I should get out

888
00:51:33,080 --> 00:51:35,320
Speaker 1: of here. I'm too close to my dad. Yeah, he

889
00:51:35,560 --> 00:51:38,480
Speaker 1: hates me. I don't want them to think his daughter. Uh.

890
00:51:38,880 --> 00:51:42,879
Speaker 1: And finally, uh, we wanted to update on the story

891
00:51:42,920 --> 00:51:46,000
Speaker 1: of teacher strikes that are happening. They they are YO.

892
00:51:46,200 --> 00:51:49,560
Speaker 1: So West Virginia man inspired many other teachers to take

893
00:51:49,719 --> 00:51:52,760
Speaker 1: her futures into their hands because they saw what happens

894
00:51:52,760 --> 00:51:55,440
Speaker 1: when you demonstrate and you get bodies out there. So

895
00:51:55,680 --> 00:51:58,600
Speaker 1: right now in Oklahoma, they have begun the strike because

896
00:51:58,640 --> 00:52:02,200
Speaker 1: they want more money. Because I think right now Oklahoma

897
00:52:02,280 --> 00:52:04,800
Speaker 1: ranks forty nine in the nation for teacher salaries, just

898
00:52:04,960 --> 00:52:09,279
Speaker 1: behind West Virginia and just before Mississippi. So they are

899
00:52:09,320 --> 00:52:11,960
Speaker 1: they're basically making sure that you know, they don't have

900
00:52:12,160 --> 00:52:14,880
Speaker 1: to go into their own pockets to fund their classrooms

901
00:52:14,920 --> 00:52:17,160
Speaker 1: and to get what is fair, because I think there's

902
00:52:17,200 --> 00:52:20,520
Speaker 1: some districts that are on four day school weeks and

903
00:52:20,760 --> 00:52:23,640
Speaker 1: other places don't even have like heating in the classrooms

904
00:52:23,920 --> 00:52:25,680
Speaker 1: much like you know all over there many places in

905
00:52:25,680 --> 00:52:28,080
Speaker 1: the country that their school districts are like that, like

906
00:52:28,160 --> 00:52:31,879
Speaker 1: in Baltimore, etcetera. Um. But yeah, so these teachers want

907
00:52:31,920 --> 00:52:35,000
Speaker 1: two hundred million more in education funding uh and then

908
00:52:35,080 --> 00:52:37,640
Speaker 1: pay for the raises of about ten grand over three

909
00:52:37,719 --> 00:52:40,800
Speaker 1: years UH and five grand for other school staff. So

910
00:52:41,000 --> 00:52:44,600
Speaker 1: these teachers are not fucking around and they realize that,

911
00:52:44,760 --> 00:52:46,560
Speaker 1: you know, I think for the longest time, a lot

912
00:52:46,600 --> 00:52:49,960
Speaker 1: of people in legislature, state legislatures and things like that said, oh,

913
00:52:50,040 --> 00:52:51,840
Speaker 1: we cut the little bit of funding, and they know

914
00:52:52,000 --> 00:52:54,279
Speaker 1: that teachers are so dedicated. It's like, well, they'll just

915
00:52:54,360 --> 00:52:56,719
Speaker 1: figure it out. And now you're at a point where

916
00:52:57,200 --> 00:52:59,360
Speaker 1: you know, there are many teachers in Oklahoma who have

917
00:52:59,440 --> 00:53:01,640
Speaker 1: to leave the state to find work because it is

918
00:53:01,719 --> 00:53:04,480
Speaker 1: no longer sustainable to be a teacher. And now it's

919
00:53:04,520 --> 00:53:07,080
Speaker 1: time to put up or shut up. And yeah, Kentucky,

920
00:53:07,400 --> 00:53:10,240
Speaker 1: they're also they are gathering to like pick it outside

921
00:53:10,280 --> 00:53:14,120
Speaker 1: the capital because I think the governor vetoed. I don't

922
00:53:14,120 --> 00:53:16,360
Speaker 1: know they want the governor to veto and overhaul to

923
00:53:16,400 --> 00:53:18,600
Speaker 1: their pension plan because there's more funk are you going

924
00:53:18,640 --> 00:53:20,360
Speaker 1: on there? And Josh, why are you saying that the

925
00:53:20,920 --> 00:53:24,680
Speaker 1: healthcare that the West Virginia teachers were objecting to was

926
00:53:24,800 --> 00:53:28,080
Speaker 1: just like a crazy black mirror app where it's like

927
00:53:28,239 --> 00:53:30,080
Speaker 1: you have to take a certain number of steps if

928
00:53:30,120 --> 00:53:32,320
Speaker 1: you want healthcare exactly. I'm trying to look up the

929
00:53:32,400 --> 00:53:35,560
Speaker 1: exact article, but I know it's in Jacobin Um where

930
00:53:35,640 --> 00:53:39,280
Speaker 1: they interviewed a teacher Um and I believe on Chapo

931
00:53:39,400 --> 00:53:41,799
Speaker 1: trap Us they had an interview with a teacher as well,

932
00:53:42,719 --> 00:53:44,680
Speaker 1: where they talked about I want to say it was

933
00:53:44,719 --> 00:53:47,919
Speaker 1: called Go three. Yeah, that's what it's called. Yeah, yeah,

934
00:53:48,080 --> 00:53:51,200
Speaker 1: And um it's insane. So you're a teacher, you're already

935
00:53:51,239 --> 00:53:54,440
Speaker 1: working twelve hours a day and dipping into your own

936
00:53:54,480 --> 00:53:57,800
Speaker 1: pocket to you know, get supplies and grading papers and

937
00:53:57,880 --> 00:54:00,080
Speaker 1: doing all the ship and you're a state employee, so

938
00:54:00,239 --> 00:54:04,440
Speaker 1: your your healthcare uh it basically comes with this fitbit

939
00:54:05,040 --> 00:54:09,040
Speaker 1: that destroys your life. So if you don't reach a

940
00:54:09,160 --> 00:54:15,080
Speaker 1: certain level of activity, your insurance premiums skyrocket. So it's

941
00:54:15,160 --> 00:54:20,279
Speaker 1: this weird, punitive like almost like yeah, black mirror from

942
00:54:20,440 --> 00:54:23,360
Speaker 1: the New York Times. From a teacher in West Virginia.

943
00:54:23,400 --> 00:54:25,799
Speaker 1: They implemented Go three sixty five, which is an app

944
00:54:25,880 --> 00:54:28,160
Speaker 1: that I'm supposed to download on my phone to track

945
00:54:28,239 --> 00:54:30,759
Speaker 1: my steps to earn points through this app. If I

946
00:54:30,840 --> 00:54:33,000
Speaker 1: don't earn enough points and if I choose not to

947
00:54:33,120 --> 00:54:38,880
Speaker 1: use the app, then I'm penalized five dollars five steps.

948
00:54:39,520 --> 00:54:41,759
Speaker 1: Who are who? Who? They're fucking exhausted by the end

949
00:54:41,800 --> 00:54:44,520
Speaker 1: of the day of They're just like adding that to

950
00:54:44,560 --> 00:54:47,800
Speaker 1: their deductible or something is that works it's or not.

951
00:54:47,920 --> 00:54:51,799
Speaker 1: They're deducible to their premiums. I think, yeah, and so like, uh,

952
00:54:52,800 --> 00:54:55,160
Speaker 1: I can't imagine making a teacher work twelve hours and

953
00:54:55,239 --> 00:54:58,600
Speaker 1: then only getting you know, four hours of free time

954
00:54:58,640 --> 00:55:00,319
Speaker 1: before they have to go to fucking sleep. And then

955
00:55:00,360 --> 00:55:01,800
Speaker 1: in those four hours, by the way, you have to

956
00:55:01,880 --> 00:55:04,560
Speaker 1: run a marathon. Sorry, sorry, or you have to pay

957
00:55:04,600 --> 00:55:09,720
Speaker 1: five dollars which you don't make because you're a teacher strike.

958
00:55:09,800 --> 00:55:12,640
Speaker 1: Oh shit, you did, okay, and change it round. That's

959
00:55:12,640 --> 00:55:14,560
Speaker 1: the other thing that's like, really really big about this.

960
00:55:14,760 --> 00:55:17,640
Speaker 1: That's the really important thing about this teacher strike. And

961
00:55:17,840 --> 00:55:20,840
Speaker 1: I think it's um hopefully, you know, it's it remains

962
00:55:20,880 --> 00:55:23,360
Speaker 1: to be seen what the outcome is of this movement

963
00:55:23,400 --> 00:55:27,839
Speaker 1: because so many other states are being inspired and into

964
00:55:27,920 --> 00:55:30,520
Speaker 1: collective action. But in a lot of these places, most

965
00:55:30,560 --> 00:55:33,160
Speaker 1: of these, if not all, um, are right to work

966
00:55:33,280 --> 00:55:38,279
Speaker 1: states where um, there's a lot of basically their situations

967
00:55:38,320 --> 00:55:42,960
Speaker 1: wherein it's not legal for people to strike, and so

968
00:55:43,480 --> 00:55:47,680
Speaker 1: the unions won't call a strike, the workers will call

969
00:55:47,800 --> 00:55:50,759
Speaker 1: the strike, and that's what's known as a wildcat strike, right,

970
00:55:50,920 --> 00:55:54,120
Speaker 1: And that's what's so huge about this is we haven't

971
00:55:54,239 --> 00:55:58,760
Speaker 1: seen big wildcats strikes since the turn of the last century.

972
00:55:58,840 --> 00:56:04,040
Speaker 1: Really like since a hundred years ago, when um, that

973
00:56:04,320 --> 00:56:07,000
Speaker 1: was the last time that the labor relations in this

974
00:56:07,160 --> 00:56:10,480
Speaker 1: country were as precarious as they are now. The gig

975
00:56:10,560 --> 00:56:15,120
Speaker 1: economy is just a fancy word for, you know, the

976
00:56:15,200 --> 00:56:19,319
Speaker 1: same ship that's been happening since the eight hundreds, you know. Yeah,

977
00:56:19,320 --> 00:56:22,080
Speaker 1: there are a lot of parallels with late nineteenth century

978
00:56:22,080 --> 00:56:27,520
Speaker 1: early twentieth century with you know, giant uh monopolies that

979
00:56:27,640 --> 00:56:32,399
Speaker 1: absolutely regulated that. Like at first people loved like the Rockefellers.

980
00:56:32,440 --> 00:56:35,000
Speaker 1: They were like John d. Rockefell, He's a he's a hero,

981
00:56:36,680 --> 00:56:39,719
Speaker 1: you know, thanks for the museum boys. And I think

982
00:56:39,760 --> 00:56:42,960
Speaker 1: we're still in that period with big tech, but I

983
00:56:43,040 --> 00:56:45,480
Speaker 1: think we're headed to the point where public sentiment is

984
00:56:45,520 --> 00:56:48,160
Speaker 1: going to be like because not so much that Mark

985
00:56:48,239 --> 00:56:52,600
Speaker 1: Zuckerberg is a motherfucker Well yeah, when you see. But

986
00:56:52,760 --> 00:56:55,560
Speaker 1: it's just starting to happen for a while, like Google's

987
00:56:56,120 --> 00:57:00,239
Speaker 1: uh motto was don't be evil, and we were like, yeah,

988
00:57:00,280 --> 00:57:04,040
Speaker 1: that's right, Google, And then you find out what they're doing.

989
00:57:04,640 --> 00:57:06,920
Speaker 1: But they're just taking all of our information and selling

990
00:57:06,960 --> 00:57:10,600
Speaker 1: it to whoever wants it. Um, thanks mother Fuckerberg. Yeah,

991
00:57:12,440 --> 00:57:16,200
Speaker 1: y'all put on a shirt, all right, motherfucker Burg. Come

992
00:57:16,240 --> 00:57:18,800
Speaker 1: see me, Josh, It's been a pleasure. Where can people

993
00:57:18,840 --> 00:57:21,680
Speaker 1: find you? Follow you? You can follow me at shut

994
00:57:21,760 --> 00:57:25,400
Speaker 1: Up Androwski. UM. I have a show uh that I

995
00:57:25,640 --> 00:57:29,360
Speaker 1: am doing in Los Angeles if you live in l A. Uh.

996
00:57:29,520 --> 00:57:32,880
Speaker 1: We did our first one last month. Uh and it's

997
00:57:32,920 --> 00:57:37,920
Speaker 1: called Democracy Dies after Dark. It is ah, it's like

998
00:57:38,000 --> 00:57:41,160
Speaker 1: a political talk show. That's my most favorite parts of

999
00:57:41,200 --> 00:57:45,120
Speaker 1: all the sort of political comedy, uh talk shows, and

1000
00:57:45,280 --> 00:57:47,600
Speaker 1: I put them all together. We had Chap trap Us

1001
00:57:47,680 --> 00:57:50,240
Speaker 1: is the first guest. Our next show is Thursday April

1002
00:57:51,360 --> 00:57:54,360
Speaker 1: at ten pm and the guests are The Dollar, Dave

1003
00:57:54,400 --> 00:57:59,120
Speaker 1: Anthony and Garrett Reynolds. Super funny dudes. Record those Uh yeah,

1004
00:57:59,160 --> 00:58:00,760
Speaker 1: we recorded the first and we're going to record the

1005
00:58:00,840 --> 00:58:03,560
Speaker 1: next one. Um. We'll be putting out online. UM. I

1006
00:58:03,600 --> 00:58:07,720
Speaker 1: also run a podcast called Left Coast with Sorry June,

1007
00:58:09,880 --> 00:58:12,960
Speaker 1: that game Paperite Miles. Where can people find? You find

1008
00:58:13,000 --> 00:58:15,920
Speaker 1: me on Twitter and Instagram at Miles of Great. You

1009
00:58:15,960 --> 00:58:18,840
Speaker 1: can find me at jaff Underscore O'Brien on Twitter. You

1010
00:58:18,880 --> 00:58:21,120
Speaker 1: can find us at Daily's Like Ice on Twitter, where

1011
00:58:21,120 --> 00:58:23,000
Speaker 1: at the Daily's like Ice on Instagram. We have a

1012
00:58:23,040 --> 00:58:26,480
Speaker 1: Facebook fan page and a website, Daily Siece dot com

1013
00:58:26,560 --> 00:58:30,840
Speaker 1: where we post our episodes and air where we like

1014
00:58:30,880 --> 00:58:34,880
Speaker 1: off to the articles containing the information that we talked

1015
00:58:34,920 --> 00:58:39,400
Speaker 1: about on today's episode. Uh, that is going to do

1016
00:58:39,560 --> 00:58:44,280
Speaker 1: it for today's show, Miles, can we get a song? Yeah, yeah, Look,

1017
00:58:44,800 --> 00:58:47,120
Speaker 1: let's play a nice little track by Tom Scott and

1018
00:58:47,160 --> 00:58:50,080
Speaker 1: California Dreamers called Today. Now, this is a very important

1019
00:58:50,160 --> 00:58:53,320
Speaker 1: track because a great song sample did. I won't tell

1020
00:58:53,320 --> 00:58:54,640
Speaker 1: you which one. You can figure it out when you

1021
00:58:54,680 --> 00:58:56,280
Speaker 1: listen to it. It should be clear if you're really

1022
00:58:56,320 --> 00:58:58,880
Speaker 1: about hip hop. But this is just otherwise, just a

1023
00:58:58,960 --> 00:59:01,920
Speaker 1: nice reactive song. Let's star off the week positively Today.

1024
00:59:02,280 --> 00:59:05,800
Speaker 1: So that song is called Today, all right, and that's

1025
00:59:05,800 --> 00:59:07,440
Speaker 1: what we're gonna write out on We will be back

1026
00:59:07,440 --> 00:59:09,840
Speaker 1: tomorrow because it is a daily podcast. Talk to you guys,

1027
00:59:10,000 --> 01:00:24,280
Speaker 1: M when my dreams come, m M to be any more.

1028
01:00:31,400 --> 01:02:14,480
Speaker 1: On the start to se