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Speaker 1: Hello the Internet, and welcome to season fifty six, episode fourth.

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Speaker 1: The Daily zeitgeis the podcast where we take a dive

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Speaker 1: into America's shared consciousness. It's Thursday, November eight, two thousand eight. Team,

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Speaker 1: my name is Jack O'Brien. A k here the zeit

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Speaker 1: Geys podcast its second rate at best, and my name's

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Speaker 1: Jack O'Brien with Miles and a guest, A little fulsome prison,

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Speaker 1: and I'm trio to be joined as always by my

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Speaker 1: co host, Mr Miles Grays. Miles Gray at the reception

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Speaker 1: a glass wine in his hand. I knew he would

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Speaker 1: make his connection. At his feet was a at Jack O'Brien.

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Speaker 1: I had to add all those locals, but thank you

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Speaker 1: to Robert Coffee at Roberto Court. That rolling stones and

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Speaker 1: mine was courtesy of Becca Yard at Bay of Becca.

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Speaker 1: We are thrilled to be joined in our third seat

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Speaker 1: by an old friend of mine from Back to Crack Days.

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Speaker 1: Is the best selling author. Uh. He is the executive editor.

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Speaker 1: He's still the executive editor over there at Prayin uh.

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Speaker 1: He writes on that site as David Wong. He is

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Speaker 1: Mr Jason Pargeon. Hello all the to all of the

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Speaker 1: Daily zeitgeists heads out there. What do you call your

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Speaker 1: fans gangs? I don't like that. Let's try geist to maniacs.

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Speaker 1: There we go, alright, alright, geist maniacs. A. How you

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Speaker 1: been man? Fill me in on the last two years.

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Speaker 1: It's it's all a blur. All I know is that

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Speaker 1: it has lasted about forty years. I think that the

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Speaker 1: effect of time compression, because let's be honest, Trump has

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Speaker 1: never not been president. Right as far as I remember,

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Speaker 1: the idea that this is the same country that elected

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Speaker 1: a black man with the middle name Hussein just six

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Speaker 1: years ago, is that it is very weird. That feels

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Speaker 1: like a whole different lifetime. Yeah, all right, Jameson, We're

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

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Speaker 1: a moment. But first we're gonna tell our listeners what

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Speaker 1: we're talking about. We're gonna talk about speaking of just

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Speaker 1: packing a whole lot into a short period of time.

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Speaker 1: The mid terms are already old news because Sessions is out,

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Speaker 1: Rosenstein is off the Muller probe, and Trump did just

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Speaker 1: a I don't know, like a two hour long touchdown

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Speaker 1: dance in front of a puzzled media. We're gonna talk

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Speaker 1: about just mid term stuff. We're gonna circle back if

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Speaker 1: we can remember what happened during the mid term, and

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Speaker 1: then we'll talk about breaking bad, the move, the why

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Speaker 1: every tabloid editor just came really hard, uh, and the

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Speaker 1: most googled Thanksgiving recipes by state. But first, Jason, we

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Speaker 1: like to ask our guest, what is something from your

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Speaker 1: search history that is revealing about who you are? The

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Speaker 1: phrase what is post Malone? That is because somebody on

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Speaker 1: slack like asked if I had seen the scathing rite

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Speaker 1: up of post Malone in the Washington Post, and I

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Speaker 1: was not sure, like what the relation was between the

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Speaker 1: Washington Post and post Malone. It got confused, So it

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Speaker 1: turns out it's a musician. Yes, But this follows the

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Speaker 1: pattern with me, where the very very first thing I

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Speaker 1: read about a phenomenon is an article saying stop paying

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Speaker 1: attention to it. This is over. Did you guys see

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Speaker 1: the Washington Post like the scathing Okay, it was a

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Speaker 1: scathing thing saying basically that postmone was everything wrong with

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Speaker 1: music and so everything wrong with America because I guess,

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Speaker 1: I guess he's something of a conservative or or something.

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Speaker 1: But anyway, yeah, it was like saying all right, we

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Speaker 1: need to stop giving this guy attention. And so I

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Speaker 1: was like all right, yeah done. When he said like

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Speaker 1: something about how he's not he doesn't do R and

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Speaker 1: B or black music or something, I was like, oh, okay.

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Speaker 1: Culture Vulture like go, hey, what's your bad self? Interesting

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Speaker 1: has a lot of tattoos, Jason's we'll see. That's the thing.

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Speaker 1: When I googled like pictures of him, it looked like

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Speaker 1: a fake person the Internet had made to play a

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Speaker 1: prank on me for being out of touch. It's like, oh,

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Speaker 1: it's this white guy with facial tattoos and he does

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Speaker 1: like it was like trap music. I don't know what

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Speaker 1: how you would describe his genre. Acoustic trap music, Yeah,

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Speaker 1: you know, because that country trap. Yeah, it's a weird

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Speaker 1: like sort of R and B rapping country. But ironically,

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Speaker 1: he actually can sing when he's not doing his other thing,

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Speaker 1: Like he can play guitar and sing a little bit.

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Speaker 1: I thought it was completely talentless at first when White

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Speaker 1: Iverson came out his first hit, and then it turned

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Speaker 1: in my favorite song, Yeah I'm sagging. I'm gonna make

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Speaker 1: you play every time I enter a room. So if

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Speaker 1: I go and look on YouTube for his videos. I'm

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Speaker 1: gonna find at least one that has like a billion

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Speaker 1: views on it, right, Like I'm literally billion with a bee,

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Speaker 1: Like I'm going to find out this is the most

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Speaker 1: popular musician of the decade. At one point, he was

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Speaker 1: like one of the most streamed artists for one month

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Speaker 1: when he had like a couple of songs out at

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Speaker 1: once and people were going wild for was it congratulations? Yeah,

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Speaker 1: of course he was. Why what do you look kind

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Speaker 1: of music do you like? Jason? It's not I don't know.

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Speaker 1: I don't listen to much music. I because I'm never

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Speaker 1: in the car because I worked from home and then

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Speaker 1: I have I'm listening to audio. I'm listening to podcasts

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Speaker 1: because they come out much much more quickly than what

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Speaker 1: But I'm a strange person because I can't. I have

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Speaker 1: trouble thinking when music is playing. So because I have

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Speaker 1: multiple jobs, it's like the luxury of just being able

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Speaker 1: to zone out and play music. I don't get to

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Speaker 1: do it very often, all right, But when you do,

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Speaker 1: what do you what do you blasting on your speakers?

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Speaker 1: I let's see on my phone. The last thing I

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Speaker 1: played was Run the Jewels three, Okay, And you just

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Speaker 1: have the whole album on there. But that's I think

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Speaker 1: probably Jack recommended that to me or I don't know.

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Speaker 1: God it okay, there you go. Uh what is something

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Speaker 1: that is overrated? I apologize in advance if I'm out

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Speaker 1: of line here, but I'm gonna say Twitter as a

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Speaker 1: platform for discussing important issues doesn't work. No, it's okay,

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Speaker 1: we can believe that. Uh yeah, yeah, let's take it.

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Speaker 1: Let's do another take. What's another You're not out of

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Speaker 1: out of line. I kind of kind of sense that

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Speaker 1: history books are actually going to talk about Twitter a

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Speaker 1: lot when it looks back on this era, because I

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Speaker 1: think that that platform it obviously not by design. They

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Speaker 1: just thought, well, you know, it's you. You limit the

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Speaker 1: link to the messages. That will be good for people

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Speaker 1: with phones who don't like to type a lot with

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Speaker 1: their thumbs. But it's like, no, actually, it was the

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Speaker 1: perfect machine for encouraging really bad takes and like the

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Speaker 1: most like it encourages you to be like, be dismissive

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Speaker 1: and to oversimplify. And the fact that Trump like took

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Speaker 1: to it like a fish to water, like that's just

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Speaker 1: it's amazing. How I don't know, it was like the

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Speaker 1: perfect platform for the era. It's a perfect platform for

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Speaker 1: spreading like false outrage, like something where everyone's mad about

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Speaker 1: something that didn't even occur. It's almost I think there

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Speaker 1: will be much written in the future about how the

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Speaker 1: medium of these platforms altered the tone of these platforms,

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Speaker 1: Like just that character limit does so much. Yeah, this

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Speaker 1: is one of my special greatest hits things that I

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Speaker 1: bring up on this podcastle up. But the guy who

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Speaker 1: invented the loudspeaker blamed himself for the rise of Nazis.

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Speaker 1: But I feel like if he existed today, he'd be like,

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Speaker 1: loudspeakers are changing the world. This is why you need

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Speaker 1: to get with loudspeakers and our angel investors. Uh yeah,

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Speaker 1: But they all say up front that they want to

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Speaker 1: change the world in like a vague sort of do

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Speaker 1: did he feel good? E? Way? But then when they

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Speaker 1: actually changed the world, they seem entirely unprepared as companies

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Speaker 1: and as people to take responsibility for that because they

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Speaker 1: just look at like the immediate thing it can do,

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Speaker 1: where it's like communication connecting people, and then they don't

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Speaker 1: see the fallout of that, which is like, oh, you're

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Speaker 1: organizing like radical hate, ideology and things like that. I'm

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Speaker 1: sure the same thing with people who got down with

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Speaker 1: fire the first time. They're like, oh, this is warm.

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Speaker 1: I liked this, Like, oh, should we burn the whole

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Speaker 1: fucking village down? And what is something you think is underrated?

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Speaker 1: YouTube as a place to discuss and cordant issues. Now

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Speaker 1: this I was not expecting because YouTube has a bad reputation,

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Speaker 1: both because the comments on YouTube tend to be just

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Speaker 1: an utter sewer, also because there's so much publicity about

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Speaker 1: like all of the Nazis on YouTube. But the thing

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Speaker 1: that I think the world, like Jack, you vividly remember

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Speaker 1: meetings we had at Cracked where people were telling us

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Speaker 1: if a video is more than three minutes long, nobody's

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Speaker 1: gonna watch. I do remember that. And now you go

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Speaker 1: on YouTube and the big thing is these long form

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Speaker 1: reviews two hours long, two and a half hours long,

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Speaker 1: digging into some subjects, so where you know whereas I

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Speaker 1: think that like Twitter encourages like the worst possible white

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Speaker 1: if you know where to look on YouTube, you can

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Speaker 1: find like fantastic videos doing deep dives into stuff that

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Speaker 1: I don't think would have been possible anywhere. I guess,

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Speaker 1: stuff that never would have made it on TV it's

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Speaker 1: but I mean I can we can list channels. I

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Speaker 1: like in the footnotes, there's one called ContraPoints that contract. Yeah,

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Speaker 1: it's a trans woman who has a philosophy degree, and

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Speaker 1: she digs into all sorts of stuff like Jordan Peterson

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Speaker 1: and and in cells and like where these things come

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Speaker 1: from and the mindset. And it's done from a very

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Speaker 1: like a sympathetic, thoughtful point of view. Um, and she's

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Speaker 1: a genius. But it's also hilarious. But and we could

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Speaker 1: or Cody Johnston has now taken his show Independent that

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Speaker 1: he was doing on Cracked. But there's a lot of that.

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Speaker 1: You know, these are long form shows. They'll be forty

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Speaker 1: five minutes or an hour, and they will dig into

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Speaker 1: a subject. They will link their sources in the description,

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Speaker 1: like they will go point by point and break down

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Speaker 1: a subject. Like they will take these the stuff that

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Speaker 1: like the Nazis put out there and they will break

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Speaker 1: it down point by point. It's the exact opposite of Twitter. Again,

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Speaker 1: if you know where to look, there's plenty of garbage.

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Speaker 1: But the point is on Twitter, there's like no such

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Speaker 1: thing as good in depth political content because it's kind

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Speaker 1: of not possible on YouTube. If you know where to look.

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Speaker 1: That's as it's more thoughtful than probably any other platform. Yeah,

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Speaker 1: it's almost like it's a new genre of film or

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Speaker 1: video that that exists on YouTube, the sort of explainer video.

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Speaker 1: And I've seen it used to brilliant effect. I've also

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Speaker 1: seen it used to make people not believe that nine eleven. Yeah,

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Speaker 1: or I mean it's it's a very easy way to

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Speaker 1: get radicalized too, I think on either end. But I think,

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Speaker 1: you know what, to the genre thing, the people who

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Speaker 1: really made YouTube what it was were people who just

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Speaker 1: didn't who weren't using the same sort of like rules

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Speaker 1: of making video or film or TV. And I think, yeah,

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Speaker 1: that that just sort of gave way to this whole

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Speaker 1: other genre video, I guess. But yeah, there's there's so

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Speaker 1: much good stuff on there, there's also a lot of

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Speaker 1: bad stuff. I know they're in the process of trying

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Speaker 1: to figure out how they limit a lot of the

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Speaker 1: sort of shitty, problematic racist channels that are out there.

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Speaker 1: But you know, it's like anything, it cuts both ways. Yeah,

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Speaker 1: but I mean a YouTube that was curated by really

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Speaker 1: smart people who and also fact checked would be an

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Speaker 1: amazing platform. Yeah. Yeah, but this is where like the

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Speaker 1: place to criticize YouTube is in their algorithm that wants

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Speaker 1: to because their whole thing is in like total minutes watch,

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Speaker 1: so they want to deliver you directly into another video.

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Speaker 1: So it's extremely easy to be watching, Okay, here's a

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Speaker 1: video about video games, or you know, it's criticizing something

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Speaker 1: in the game. But guess what this game critic is

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Speaker 1: something of an al right personality, so it takes you

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Speaker 1: directly into his next video, which is about cultural Marxism, which,

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Speaker 1: because of the way their playlists is just an algorithm, right,

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Speaker 1: Like all they know is people who watched this also

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Speaker 1: tended to watch this, and it's very agnostic that way.

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Speaker 1: So you're like four videos away from an outright like

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Speaker 1: actual Nazi with a swastick on the channel, just by

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Speaker 1: following the trail from you know, God of War sucked

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Speaker 1: to this game shouldn't have had black people in it,

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Speaker 1: to the great replacement theory in Europe and how white

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Speaker 1: white genocide like you're you're not that far away at

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Speaker 1: any given moment. That's the part they haven't solved. But

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Speaker 1: that's the whole thing. There's no like humans behind it.

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Speaker 1: For the most part, it's just a series of algorithms,

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Speaker 1: and it's like, hey, as long as you're watching, who

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Speaker 1: cares if you're a twelve year old kid who literally

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Speaker 1: is now watching a two hour long video on why

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Speaker 1: all non white races must be exterminated because you started

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Speaker 1: half hour ago watching something about minecraft. Right, Yeah, and

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Speaker 1: you say they haven't solved it yet, as though it's

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Speaker 1: a thing they're trying to solve. But right, that's not

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Speaker 1: at all clear to me. No. I think, Yeah, as

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Speaker 1: long as they can get people with like mouth a

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Speaker 1: gape k hole watching habits, that's all they want. And finally, Jason,

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Speaker 1: what's a myth? What's something people think is true that

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Speaker 1: you know to be false. The thing that is been

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Speaker 1: out there for the last three years now or however

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Speaker 1: long we've been in the Trump era, going back to

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Speaker 1: when he first announced is the idea of everything that

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Speaker 1: is happening now is new and uncharted territory. Okay, give

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Speaker 1: an example of something where you see people kind of

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Speaker 1: misunderstanding this. This goes back to kind of Twitter as

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Speaker 1: a platform, because they're the tone very much has been.

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Speaker 1: America was born in seventeen seventy six. We had freedom

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Speaker 1: for two hundred and thirty years or whatever, and then

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Speaker 1: fascists took over the government. Yeah, it is really hard

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Speaker 1: because there's so much more attention now and we'll get

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Speaker 1: into like they had massive turnout in Tuesday's elections, Like

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Speaker 1: there's so much more attention now. You know, politics has

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Speaker 1: taken over the culture that You've got lots and lots

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Speaker 1: of people who are getting into politics for the very

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Speaker 1: first time, some of them just because they're they're young,

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Speaker 1: like they they're just now old enough to be aware

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Speaker 1: in For people like that, it's really really hard to

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Speaker 1: tell the difference between this is something unique to Trump,

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Speaker 1: which some of this is versus this is just kind

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Speaker 1: of the patterns, the rhythm of how things work in America. So,

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Speaker 1: for instance, the thing with the midterms, the opposing party

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Speaker 1: gaining a bunch of seats after the other party won

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Speaker 1: the White House, that always happens, like this is just

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Speaker 1: a cycle. It's you know, it happened with Obama, happened

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Speaker 1: with Clinton. In many ways, lots of the things that

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Speaker 1: look weird to us are just kind of part of

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Speaker 1: patterns that play out in the same way that if

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Speaker 1: we have a really strong economy for the next two years,

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Speaker 1: Trump will be a strong favor to be reelected. That's

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Speaker 1: not due to anything unique Trump has done. If it happens,

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Speaker 1: it's not due to America is now under the thrall

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Speaker 1: of an authoritarian It's just due to the fact that

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Speaker 1: we tend to elect the guy when the economy is strong,

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Speaker 1: because most people don't pay super close attention to politics.

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Speaker 1: Like that's what's easy to get lost in with all

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Speaker 1: the apocalyptic talk on Twitter? Is it for the most part,

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Speaker 1: everyday life kind of looks the same for most people. Yeah,

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Speaker 1: And I do think there are some things that are

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Speaker 1: new in the Trump era, but I mean, yeah, and

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Speaker 1: you know, America, just whether the economy is good or not,

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Speaker 1: America tends to re elect the person who's in office

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Speaker 1: when they run a second time, or even like when

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Speaker 1: Hillary was running, it's like, oh, like we're going to

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Speaker 1: do two terms of a Democrat and go into another

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Speaker 1: administration of Democrats like that was already that was a

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Speaker 1: little bit of an uphill battle too. Yeah, very rare. Yeah,

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Speaker 1: you we usually change parties after that, and that's why,

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Speaker 1: like Trump, you know, and we had this discussion two

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Speaker 1: years ago, Jack, but you know, Trump underperformed generic Republican

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Speaker 1: like you know a lot of people hated Hillo, Like

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Speaker 1: I think that if let's say Marco Rubio had come

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Speaker 1: out of the primaries, I think he actually beats Hillary

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Speaker 1: much easier than than Trump. Dead um, But a lot

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Speaker 1: of Trump's vote was yeah, it was just them voting

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Speaker 1: generic Republican Like that's That's the thing is, when you

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Speaker 1: follow the stuff every day, it's very easy to get

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Speaker 1: like you have a memory of all these hundreds and

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Speaker 1: hundreds of scandals. But I think you'd be very surprised

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Speaker 1: if you grabbed a random person off the street and said, well,

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Speaker 1: what do you what do you think about about you know,

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Speaker 1: this Michael Cohen stuff? And they would be like who right, yeah,

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Speaker 1: or what do you think about that? New York Times

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Speaker 1: op ed from that Trump and sider. It's like, what

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Speaker 1: the hell are you talking about? Right? Well, all right,

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Speaker 1: let's get onto stories that are truly unprecedented improved that

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Speaker 1: the world is crumbling around us. So Sessions has been

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Speaker 1: fired or you know, asked to step down. Essentially, Rosenstein

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Speaker 1: is off the Mueller probe. He's no longer running shit,

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Speaker 1: And the person who is is a loyalist who has

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Speaker 1: openly questioned the validity of the Mueller investigation. Well, it's

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Speaker 1: funny because you know, normally you have an attorney general

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Speaker 1: leave or whatever. Normally the deputy attorney General in this case,

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Speaker 1: Rod Rosenstein would step in. But of course these is

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Speaker 1: different times. So you know, Trump wanted somebody who was

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Speaker 1: literally someone who may have written an op ed about

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Speaker 1: how the Mueller probe is bullshit, and he found it

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Speaker 1: in the form of Matt Whittaker, who was Jeff Session's

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Speaker 1: former chief of staff and avid cross fit guy and

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Speaker 1: football player. Uh so, yeah, I mean, in a way,

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Speaker 1: Trump may have found his little attack dog for now.

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Speaker 1: But when he he basically wrote an op ed just

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Speaker 1: like I think, months or weeks before joining the d

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Speaker 1: o J, and he wrote in his op ed about

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Speaker 1: the Mueller investigation, just have an idea of what where

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Speaker 1: this guy is coming from. He's a Deputy Attorney General.

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Speaker 1: Rod Rosenstein's letter appointing Special Counsel Robert Mueller does not

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Speaker 1: give Mueller broad far reaching powers in this investigation. It does, uh,

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Speaker 1: And then he goes on to say it is only

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Speaker 1: authorized to investigate matters that involve any potential links to

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Speaker 1: and coordination between two entities, the Trump campaign and the

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Speaker 1: Russian government, and you're like, no, okay, well that seems

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Speaker 1: like a good resume as uh for someone who is

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Speaker 1: supposed to shield him from the Democrats essentially. Now, But

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Speaker 1: isn't that something that Mueller kind of insulated himself against

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Speaker 1: by kind of sending all of the investigations into Trump's

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Speaker 1: sort of fraudulent financial practices to the south of New York,

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Speaker 1: the Southern District. Yeah, I mean, he's definitely diversifying the

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Speaker 1: ways that Trump can be gotten, uh, you know, because

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Speaker 1: for this exact reason, because I think they knew if

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Speaker 1: it gets too hot, it'll probably activate what is it,

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Speaker 1: Wednesday night massacre or whatever you want to yeah, Wednesday

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Speaker 1: afternoon massacre. But it's funny when you go through his tweets,

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Speaker 1: he has some fucking weird just things he would tweet

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Speaker 1: stuff like Monuraja tweeted something that said Lindsay Graham also

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Speaker 1: says he's drafting legislation to insulate the Special counsel from

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Speaker 1: White House pressure, and then Matt Whittaker's response, this would

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Speaker 1: be a mistake. Cannot have anyone unaccountable, and Executive Branch

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Speaker 1: already protected enough. Then talking about Paul Manafort, when the

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Speaker 1: FBI rated his home. Do we want our government to

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Speaker 1: quote intimidate us? M uhm. FBI's manafort, right, included a

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Speaker 1: dozen agents designed to intimidate. And he goes on, I mean,

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Speaker 1: this guy is reading from the script that Trump would

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Speaker 1: want if he's going to be the person looking over

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Speaker 1: the Mother investigation. And I just want to say he

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Speaker 1: does love Dave Matthews because he did tweet this was

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Speaker 1: back January. Dave Matthews is the Jimmy Buffett of our time.

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Speaker 1: M wait is that is that are those words of support?

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Speaker 1: I don't know. I mean you have to I mean

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Speaker 1: you have to establish a universe of bad taste and

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Speaker 1: music too. Assumed that that was a compliment, right, But

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Speaker 1: I feel like someone would probably like you'd have to

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Speaker 1: be pretty savvyed us to you. Is Jimmy Buffett as

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Speaker 1: a slander? I feel because he looks like the kind

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Speaker 1: of guy who would be stoked to go to Margaritaville? Right? Okay, Yeah,

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Speaker 1: that toast Malone is the Jimmy Buffett. And yeah, I

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Speaker 1: mean we don't we still don't know what Matt Whittaker

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Speaker 1: is going to do as a g if he's gonna

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Speaker 1: totally can the probe if he's just gonna try and

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Speaker 1: hamstring in in as many ways as possible to just

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Speaker 1: have the appearance of this investigation going on. But I mean, yeah,

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Speaker 1: there's there's really no way to know because we don't

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Speaker 1: We've never had to deal with this before, Right, what

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Speaker 1: happens if he does like just say ship can the

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Speaker 1: Mueller probe? Like do we know what? What would happen?

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Speaker 1: Or if he says, okay, the Muller probe, Like whatever

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Speaker 1: the um investigation is, we don't want that report going

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Speaker 1: out to people like and then the House subpoenas that document,

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Speaker 1: then we just don't know what happens after that. No,

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Speaker 1: because this is a political process, not a legal process.

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Speaker 1: Trump is not going to go to jail. They're not

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Speaker 1: gonna arrest Trump. This is what you're talking about, is like,

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Speaker 1: for instance, impeachment, it goes through the House, which it

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Speaker 1: could because it's controlled by Democrats, but then you need

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Speaker 1: two thirds of the Senate. Well, that wouldn't happen unless

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Speaker 1: they decided it was advantageous, Like if they thought whoever

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Speaker 1: they put in instead of Trump had like a really

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Speaker 1: better chance of winning in Trump did, then they may

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Speaker 1: do it. But it's a political decision, and and that's

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Speaker 1: the way it should be. They you know, it's generally

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Speaker 1: been agreed upon that you don't want your president to

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Speaker 1: be marched out of the White House and handcuffs, because

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Speaker 1: that's how it works in like Banana republics, where it's

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Speaker 1: like we just invent a reason to arrest the president.

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Speaker 1: So in general, the whole idea is like, well, you

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Speaker 1: can remove them from office and then he can face

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Speaker 1: whatever consequences, or if you find him guilty of something

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Speaker 1: after he leaves office, if he loses the election, you

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Speaker 1: could prosecute him because then he's just a private citizen.

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Speaker 1: But between now and this is a political process. This

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Speaker 1: is about how the Democrats want to do this to

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Speaker 1: try to damage him politically. This is about the house

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Speaker 1: holding hearings on TV. It's all about like affecting the

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Speaker 1: vote in I don't think anything's going to happen. They

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Speaker 1: would remove him from office unless Trump decided that like leaving,

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Speaker 1: like quitting the job, resigning and like a very grandstandy way,

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Speaker 1: and then like at that same press conference like announcing

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Speaker 1: the launch of Trump TV, like if he decided that

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Speaker 1: that was like the ultimate viral advertising for his new venture,

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Speaker 1: like I was too honest for America, Like the deep

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Speaker 1: state ultimately had to get rid of me. But I'm

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Speaker 1: going to now devote myself to taking that down the

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Speaker 1: deep state. Like if he judged that it was to

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Speaker 1: his advantage to step down, then he would do it.

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Speaker 1: But otherwise we're all talking about setting up like this

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Speaker 1: is all political, right, So I mean, I guess we'll

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Speaker 1: we'll see how it goes. Keep our eyelanding if I

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Speaker 1: can offer, if I can offer a prediction, I think,

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Speaker 1: if the economy goes in the tank in the next

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Speaker 1: two years, and it could, we're due for a recession.

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Speaker 1: But obviously no one knows when recessions are gonna show

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Speaker 1: up or else any day. You'd be super rich if

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Speaker 1: you magically knew exactly when they when they were going

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Speaker 1: to arrive. But if if, for instance, you get a

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Speaker 1: downturn six months from now, you get bad jobs reports,

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Speaker 1: the stock market goes in the tank, I can easily

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Speaker 1: see Trump come twenty nineteen announcing he's not going to

427
00:24:37,720 --> 00:24:42,080
Speaker 1: run for re election because he's already accomplished everything that

428
00:24:42,119 --> 00:24:45,360
Speaker 1: can be accomplished as a president. He has already saved America.

429
00:24:45,440 --> 00:24:47,400
Speaker 1: He has already he wants to go out on top

430
00:24:47,520 --> 00:24:50,840
Speaker 1: as the best president ever. Like like, if he sensed

431
00:24:50,840 --> 00:24:53,119
Speaker 1: he was gonna lose, I don't think he would go

432
00:24:53,200 --> 00:24:55,840
Speaker 1: through with it, and I think he has instincts for that.

433
00:24:55,880 --> 00:24:57,399
Speaker 1: But I think if he sense that there's going to

434
00:24:57,480 --> 00:25:00,119
Speaker 1: be like a humiliating defeat in twenty I think he

435
00:25:00,119 --> 00:25:03,560
Speaker 1: would bail out rather than suffer through it, because then

436
00:25:03,600 --> 00:25:06,639
Speaker 1: he can do it on his own terms, say like, look, America,

437
00:25:07,359 --> 00:25:10,840
Speaker 1: I've already accomplished more in my four years than every

438
00:25:10,960 --> 00:25:15,680
Speaker 1: president combined prior to me. Honestly, at this point, I've

439
00:25:15,680 --> 00:25:18,960
Speaker 1: accomplished too much. But I'm going to return to my

440
00:25:19,000 --> 00:25:22,800
Speaker 1: businesses because you know, they're suffering without me, without my genius.

441
00:25:22,880 --> 00:25:25,560
Speaker 1: Like he would find some face saving way to not

442
00:25:25,760 --> 00:25:28,680
Speaker 1: run again. Although the one thing that I I think

443
00:25:28,760 --> 00:25:31,560
Speaker 1: he thought he was going to lose in humiliating fashion

444
00:25:31,600 --> 00:25:34,439
Speaker 1: ahead of the two thousand and sixteen election, like a

445
00:25:34,480 --> 00:25:37,600
Speaker 1: lot of people in the media thought. So. I just

446
00:25:37,680 --> 00:25:41,359
Speaker 1: wonder if he's going to be too fooled by his

447
00:25:41,400 --> 00:25:45,080
Speaker 1: own success to ever truly believe that he's out of

448
00:25:45,119 --> 00:25:48,919
Speaker 1: it in in an upcoming race. But it'll be maybe,

449
00:25:48,920 --> 00:25:51,520
Speaker 1: But I think the whole rigged election thing was going

450
00:25:51,600 --> 00:25:53,760
Speaker 1: to be the basis upon which he was going to

451
00:25:53,880 --> 00:25:57,560
Speaker 1: launch his new TV show or book or whatever likes like,

452
00:25:57,640 --> 00:25:59,720
Speaker 1: this is why they you know, the system is rigged

453
00:25:59,720 --> 00:26:05,159
Speaker 1: against regular folk like you and me. Uh, regular regular people.

454
00:26:06,240 --> 00:26:09,520
Speaker 1: Can I point out that the Jeff Sessions his sad

455
00:26:09,640 --> 00:26:13,159
Speaker 1: undated resignation letter that he clearly had had written like

456
00:26:13,240 --> 00:26:16,040
Speaker 1: a year ago and just had in his desk for

457
00:26:16,760 --> 00:26:19,240
Speaker 1: the day, Like, that's the one thing to remember from this.

458
00:26:19,760 --> 00:26:24,359
Speaker 1: Robert Mueller and another seven billion people on Earth knew

459
00:26:24,400 --> 00:26:27,800
Speaker 1: this day was coming, mainly because Trump every forty eight

460
00:26:27,880 --> 00:26:30,560
Speaker 1: hours would go on Twitter and say, I'm gonna fire

461
00:26:30,680 --> 00:26:36,879
Speaker 1: Jeff Sessions soon. What piece of crap? So this is

462
00:26:36,920 --> 00:26:40,880
Speaker 1: not no Mure. This everyone knew this was coming. He

463
00:26:41,400 --> 00:26:45,480
Speaker 1: took many steps to insulate himself. This would be much

464
00:26:45,480 --> 00:26:47,840
Speaker 1: more ominous if the Democrats had not just won the

465
00:26:47,880 --> 00:26:52,360
Speaker 1: House because see that the House has investigation powers, oversight powers,

466
00:26:52,440 --> 00:26:56,160
Speaker 1: subpoena powers, Like if Trump fired had him fire Mure tomorrow,

467
00:26:56,960 --> 00:27:00,800
Speaker 1: the House could subpoena every document Muer's report. They could

468
00:27:00,800 --> 00:27:05,479
Speaker 1: have Muller on National TV testifying in January like, so

469
00:27:05,560 --> 00:27:09,040
Speaker 1: this does this does nothing? Other than what Trump wanted

470
00:27:09,040 --> 00:27:11,240
Speaker 1: it to do, which was to take the mid terms

471
00:27:11,280 --> 00:27:13,600
Speaker 1: off the headlines. There's no reason I had to be

472
00:27:13,600 --> 00:27:16,760
Speaker 1: done today other than to take over the news cycle. Yeah. Well,

473
00:27:16,960 --> 00:27:19,240
Speaker 1: when you watch did you see his press conference the

474
00:27:19,840 --> 00:27:22,560
Speaker 1: post mid terms melt down that he had where you

475
00:27:22,560 --> 00:27:26,280
Speaker 1: can kind of tell that it seemed that he realized

476
00:27:26,320 --> 00:27:28,800
Speaker 1: he might be in a new era right now, just

477
00:27:29,000 --> 00:27:31,640
Speaker 1: the way he was responding to some questions about whether

478
00:27:31,680 --> 00:27:33,520
Speaker 1: it was his rhetoric or what he might do with

479
00:27:33,560 --> 00:27:36,000
Speaker 1: other policy things, Like there was an air about him

480
00:27:36,000 --> 00:27:38,280
Speaker 1: where he really just felt like he looked like just

481
00:27:38,400 --> 00:27:42,280
Speaker 1: cheap Kroger brand mobster talking a bunch of ship. But

482
00:27:42,440 --> 00:27:46,560
Speaker 1: I think that is Trump's comfort zone in my opinion.

483
00:27:46,720 --> 00:27:51,119
Speaker 1: I think he likes conflict for for conflicts sake, and

484
00:27:51,119 --> 00:27:54,160
Speaker 1: I think that's why he's the man for this era,

485
00:27:54,280 --> 00:28:02,160
Speaker 1: is because we were just a psychopathically board society and

486
00:28:02,320 --> 00:28:04,840
Speaker 1: he was the one who came along and just made

487
00:28:04,880 --> 00:28:08,080
Speaker 1: it all interesting and like the worst possible way. But

488
00:28:08,600 --> 00:28:10,600
Speaker 1: you know, that's goes back to Twitter, It goes back

489
00:28:10,640 --> 00:28:14,000
Speaker 1: to social media in the way it highlights conflict and

490
00:28:14,240 --> 00:28:19,000
Speaker 1: that only outrage bubbles to the surface. Well, that's Trump's

491
00:28:19,040 --> 00:28:21,359
Speaker 1: like that's he's from the world of reality TV, the

492
00:28:21,680 --> 00:28:24,639
Speaker 1: world of I'm not here to make friends. Like that's

493
00:28:24,760 --> 00:28:28,119
Speaker 1: that's his whole thing is he loves that that tone.

494
00:28:28,160 --> 00:28:30,359
Speaker 1: That's how he lives his life. He likes you know,

495
00:28:30,400 --> 00:28:32,800
Speaker 1: and that's how he ran his businesses. He likes people

496
00:28:32,840 --> 00:28:37,160
Speaker 1: to be fighting. He he feels like it's productive. I mean,

497
00:28:37,200 --> 00:28:40,160
Speaker 1: that's why he's allows the politician. He's not good at

498
00:28:40,200 --> 00:28:44,440
Speaker 1: getting legislation pushed through. He's not good at crafting legislation

499
00:28:44,480 --> 00:28:47,200
Speaker 1: slation that will like survive the courts or anything like.

500
00:28:47,840 --> 00:28:51,480
Speaker 1: It's just yeah, it's well unless your goal is to

501
00:28:51,520 --> 00:28:55,560
Speaker 1: be a media figure and you're just using the presidency

502
00:28:55,680 --> 00:28:59,880
Speaker 1: as a tool to become too, to expand your profile

503
00:29:00,160 --> 00:29:03,040
Speaker 1: and on the media landscape, in which case he's a

504
00:29:03,080 --> 00:29:05,520
Speaker 1: master at it. He knows exactly how to take over

505
00:29:05,560 --> 00:29:09,160
Speaker 1: a new cycle, maybe better than anybody in the world. Right.

506
00:29:09,480 --> 00:29:13,080
Speaker 1: I like to think of like all these maneuvers of

507
00:29:13,280 --> 00:29:16,520
Speaker 1: like the president firing his attorney general while he's being

508
00:29:16,960 --> 00:29:21,000
Speaker 1: investigated for you know, colluding with Russia as just the

509
00:29:21,560 --> 00:29:26,280
Speaker 1: you know, equivalent of a real housewife like stage whispering

510
00:29:26,400 --> 00:29:28,840
Speaker 1: something shitty about someone else in that person over here

511
00:29:28,880 --> 00:29:33,160
Speaker 1: and just like completely staged, like set up conflicts from

512
00:29:33,360 --> 00:29:38,120
Speaker 1: reality TV, because it's true, he's just like a reality

513
00:29:38,200 --> 00:29:42,080
Speaker 1: TV producer. He's not comfortable unless there's some manner of

514
00:29:42,160 --> 00:29:46,000
Speaker 1: conflict that he's involved in going on on camera. I

515
00:29:46,040 --> 00:29:48,400
Speaker 1: mean in profiles of him. I think there was that

516
00:29:48,720 --> 00:29:51,640
Speaker 1: New York Times profile of him during his first year

517
00:29:51,680 --> 00:29:55,400
Speaker 1: where they said he gets really uncomfortable when he's not

518
00:29:55,720 --> 00:29:58,880
Speaker 1: in the headlines for a day and fire like, what

519
00:29:58,920 --> 00:30:00,400
Speaker 1: I do, What I do? What I do? How do

520
00:30:00,480 --> 00:30:03,320
Speaker 1: I piss people off? Just eat a burrito? Real weird?

521
00:30:04,200 --> 00:30:08,080
Speaker 1: That's right. That worked worked for us. All Right, we're

522
00:30:08,080 --> 00:30:20,680
Speaker 1: gonna take a quick break. We'll be right back, and

523
00:30:20,800 --> 00:30:24,800
Speaker 1: we're back. And I wanted to talk about college education

524
00:30:25,000 --> 00:30:28,720
Speaker 1: because I was listening to a report on my drive

525
00:30:28,760 --> 00:30:33,760
Speaker 1: into work today where somebody was using that as an explanation.

526
00:30:33,800 --> 00:30:37,160
Speaker 1: They were saying, like, college educated voters were, you know,

527
00:30:37,280 --> 00:30:41,560
Speaker 1: ex more likely x percentage points more likely to vote

528
00:30:41,560 --> 00:30:44,800
Speaker 1: for Democrats. And when you break it out by white

529
00:30:45,040 --> 00:30:48,040
Speaker 1: voters who don't have a college education, bus white voters

530
00:30:48,080 --> 00:30:52,280
Speaker 1: who do have a college education, Uh, it's even more stark.

531
00:30:52,560 --> 00:30:56,000
Speaker 1: And this reminded me of something that Jason, you and

532
00:30:56,040 --> 00:30:58,480
Speaker 1: I talked about on an old episode of the Cracked

533
00:30:58,520 --> 00:31:05,400
Speaker 1: podcast this idea of America having a class system that

534
00:31:06,120 --> 00:31:09,800
Speaker 1: we as Americans don't really recognize in terms of how

535
00:31:09,840 --> 00:31:12,680
Speaker 1: it operates in our day to day lives. And one

536
00:31:12,720 --> 00:31:17,440
Speaker 1: of the interesting sort of re contextualizations that I took

537
00:31:17,480 --> 00:31:21,440
Speaker 1: away from uh that discussion on class was this book

538
00:31:21,800 --> 00:31:27,280
Speaker 1: talked about how universities and colleges are actually more about

539
00:31:27,520 --> 00:31:33,600
Speaker 1: socializing you to act in accordance with your class in America,

540
00:31:33,680 --> 00:31:37,040
Speaker 1: like the upper class in America, the gentry class in America.

541
00:31:37,600 --> 00:31:40,680
Speaker 1: That's the main thing you learn at college more so

542
00:31:40,760 --> 00:31:45,240
Speaker 1: than you know, whatever your major is. It gives you friends,

543
00:31:45,680 --> 00:31:47,640
Speaker 1: It gives you a friend group that is in that

544
00:31:47,760 --> 00:31:51,240
Speaker 1: upper class. It teaches you what your beliefs are supposed

545
00:31:51,240 --> 00:31:54,880
Speaker 1: to be. And so I mean, viewed from that perspective,

546
00:31:55,480 --> 00:32:00,320
Speaker 1: it kind of makes sense that college degrees are so

547
00:32:01,120 --> 00:32:06,600
Speaker 1: starkly defining what side of the country you vote on

548
00:32:06,800 --> 00:32:10,480
Speaker 1: or what party you vote for, and just to the

549
00:32:10,520 --> 00:32:15,560
Speaker 1: point that it's almost like different classes just perceive things

550
00:32:15,600 --> 00:32:19,160
Speaker 1: in completely different ways. They'll see the same press conference

551
00:32:19,200 --> 00:32:22,040
Speaker 1: and perceive it in completely different ways. Right. Well, I

552
00:32:22,080 --> 00:32:25,240
Speaker 1: think in are you know, entering the workforce. Now, if

553
00:32:25,240 --> 00:32:29,160
Speaker 1: you want a job that could actually sustain a family

554
00:32:29,200 --> 00:32:32,200
Speaker 1: and all that, you you almost certainly need a college

555
00:32:32,200 --> 00:32:35,120
Speaker 1: degree to get that kind of employment too. And I

556
00:32:35,120 --> 00:32:37,600
Speaker 1: think also that could be one of the reasons why

557
00:32:37,600 --> 00:32:41,280
Speaker 1: there's such a I don't know if the the animosity

558
00:32:41,320 --> 00:32:44,800
Speaker 1: towards education and things like that too, because if as

559
00:32:44,840 --> 00:32:47,280
Speaker 1: it if it does become the sort of marker of classes,

560
00:32:47,320 --> 00:32:49,240
Speaker 1: then you would be like, well, those are the fancy

561
00:32:49,320 --> 00:32:52,040
Speaker 1: college people, while I might not have a degree and

562
00:32:52,080 --> 00:32:55,680
Speaker 1: have a sort of you know, cynical viewpoint of that, right,

563
00:32:55,840 --> 00:32:57,960
Speaker 1: And when you listen to NPR talk about that's what

564
00:32:58,000 --> 00:33:00,200
Speaker 1: I was listening to. An NPR was talking about like, well,

565
00:33:00,200 --> 00:33:04,160
Speaker 1: these college educated voters versus not college educated, and they

566
00:33:04,200 --> 00:33:08,000
Speaker 1: were using it. I mean, it would have totally changed

567
00:33:08,240 --> 00:33:10,600
Speaker 1: the context of what they were talking about if they

568
00:33:10,600 --> 00:33:14,040
Speaker 1: said college socialized as opposed to but they were focused.

569
00:33:14,080 --> 00:33:17,320
Speaker 1: They really emphasis is always on the educated, because I

570
00:33:17,360 --> 00:33:20,160
Speaker 1: think they want it to be. You know, they're talking

571
00:33:20,160 --> 00:33:22,120
Speaker 1: to the people who went to college. They want you

572
00:33:22,200 --> 00:33:25,440
Speaker 1: to think, well, I'm the more educated person, and by

573
00:33:25,520 --> 00:33:29,840
Speaker 1: being smarter, I therefore and making the right decision. And

574
00:33:29,880 --> 00:33:33,240
Speaker 1: these poor dumb SAPs just don't know how to vote

575
00:33:33,240 --> 00:33:37,400
Speaker 1: for what's best for them. And you know, I think

576
00:33:37,600 --> 00:33:39,800
Speaker 1: you know, Jason, you've spoken to the fact that people

577
00:33:40,160 --> 00:33:44,720
Speaker 1: who you know, you grew up with, who are part

578
00:33:44,720 --> 00:33:47,440
Speaker 1: of Trump Country are not any dumber and in fact

579
00:33:47,440 --> 00:33:50,200
Speaker 1: a lot smarter than a lot of the people you've

580
00:33:50,240 --> 00:33:55,360
Speaker 1: met since coming to our world. But it's just it's

581
00:33:55,400 --> 00:34:00,200
Speaker 1: sort of different class conventions that we adopt. Yeah, and

582
00:34:00,720 --> 00:34:04,800
Speaker 1: even now, without recapping that whole episode we did, it's

583
00:34:05,560 --> 00:34:08,000
Speaker 1: when you say class, most people listening to this think

584
00:34:08,040 --> 00:34:11,240
Speaker 1: you're purely talking about income, because in America, that's usually

585
00:34:11,280 --> 00:34:13,320
Speaker 1: the only way we talk about it. You're a middle class,

586
00:34:13,360 --> 00:34:17,120
Speaker 1: lower class, upper class. And what that discussion was about,

587
00:34:17,160 --> 00:34:19,600
Speaker 1: and we've got links we can throw in for the

588
00:34:19,600 --> 00:34:21,600
Speaker 1: people who want to do further reading on it, is

589
00:34:21,640 --> 00:34:26,440
Speaker 1: that it's almost more like a map of different classes.

590
00:34:26,520 --> 00:34:29,440
Speaker 1: Because the whole deal with the recent Trump appeals to

591
00:34:29,640 --> 00:34:34,160
Speaker 1: certain classes is that he is worth a billion dollars,

592
00:34:34,200 --> 00:34:36,919
Speaker 1: but he has demannerisms and the tastes and the point

593
00:34:36,920 --> 00:34:39,319
Speaker 1: of view of someone from a completely different what we

594
00:34:39,360 --> 00:34:43,319
Speaker 1: would consider like a working class. He has the he

595
00:34:43,360 --> 00:34:47,440
Speaker 1: has the accent. He is involved in w w E wrestling,

596
00:34:47,560 --> 00:34:50,640
Speaker 1: which is which is more of like seen as it's

597
00:34:50,640 --> 00:34:55,239
Speaker 1: more associated with the working class, whereas you know, and

598
00:34:55,320 --> 00:34:57,719
Speaker 1: an example of it being divorced from money on the

599
00:34:57,760 --> 00:35:00,440
Speaker 1: other side is think about a college pre essor. A

600
00:35:00,440 --> 00:35:04,640
Speaker 1: college professor does not make good money like they are,

601
00:35:05,320 --> 00:35:09,120
Speaker 1: you know, meal to meal, but college professors, or at

602
00:35:09,160 --> 00:35:12,879
Speaker 1: least a lot of college professors, but they are part

603
00:35:12,960 --> 00:35:16,839
Speaker 1: of that upper class. They have the correct values, they

604
00:35:16,960 --> 00:35:21,160
Speaker 1: carry around the correct NPR tote bag. So this is

605
00:35:21,200 --> 00:35:24,759
Speaker 1: something that's very apparent in other countries. Other countries are

606
00:35:24,840 --> 00:35:27,239
Speaker 1: very aware of it that you know, there's money, but

607
00:35:27,520 --> 00:35:31,440
Speaker 1: like you don't get to just earn your way to

608
00:35:31,880 --> 00:35:34,319
Speaker 1: like a higher class. It's all about what you've been

609
00:35:34,360 --> 00:35:37,919
Speaker 1: socialized and what you've grown up around. And I think

610
00:35:38,000 --> 00:35:41,240
Speaker 1: just America has a real blind spot when it comes

611
00:35:41,280 --> 00:35:46,200
Speaker 1: to how just class oriented our our society is. And

612
00:35:47,239 --> 00:35:50,040
Speaker 1: a lot of the things that you hear in the

613
00:35:50,080 --> 00:35:55,120
Speaker 1: mainstream media and on the left when discussing you know,

614
00:35:55,760 --> 00:36:00,560
Speaker 1: parts of like rural America really ring a little more

615
00:36:01,280 --> 00:36:03,879
Speaker 1: kind of leave a bad taste in your mouth if

616
00:36:03,880 --> 00:36:07,879
Speaker 1: you're paying attention to sort of class dynamics. And it's

617
00:36:07,880 --> 00:36:10,600
Speaker 1: not that hard to see in other parts of especially

618
00:36:10,640 --> 00:36:13,520
Speaker 1: in pop culture because when I wrote the big article

619
00:36:13,600 --> 00:36:17,719
Speaker 1: about this, that suddenly became a much bigger deal after

620
00:36:18,120 --> 00:36:22,600
Speaker 1: after Trump won. My example I used the touchstone was

621
00:36:22,719 --> 00:36:27,240
Speaker 1: like the Hunger Games, because when you watch that movie,

622
00:36:27,440 --> 00:36:31,440
Speaker 1: the hero is a rustic, rural hunter living in like

623
00:36:31,520 --> 00:36:34,200
Speaker 1: a shack who hunts for food and you know, works

624
00:36:34,200 --> 00:36:36,520
Speaker 1: with her hands, and she's kind of dirty or whatever.

625
00:36:37,040 --> 00:36:40,520
Speaker 1: And then the evil people live in this fancy city.

626
00:36:40,640 --> 00:36:45,880
Speaker 1: They wear ridiculous, gaudy clothes. They're very pretentious, you know,

627
00:36:46,040 --> 00:36:49,280
Speaker 1: they put on airs, and without having to be told,

628
00:36:49,320 --> 00:36:53,960
Speaker 1: we automatically hate those people. And we automatically like Catanus

629
00:36:54,000 --> 00:36:56,960
Speaker 1: because she's salt of the earth, she's tough. It's more

630
00:36:57,000 --> 00:37:00,480
Speaker 1: masculine values, right, because she's a hunter. Where in the city,

631
00:37:00,560 --> 00:37:03,440
Speaker 1: in the capital, it's all of these pressy guys and

632
00:37:03,480 --> 00:37:07,560
Speaker 1: their sequined clothes. So even among all the rest of us,

633
00:37:07,960 --> 00:37:11,960
Speaker 1: like that code for the snooty upper class versus the

634
00:37:11,960 --> 00:37:15,160
Speaker 1: assault of the earth heroes, it brings true. You know,

635
00:37:15,239 --> 00:37:18,480
Speaker 1: let's Luke Skywalker living on the desert planet, you know,

636
00:37:19,560 --> 00:37:23,160
Speaker 1: I mean, farming humidity or whatever the hell they did

637
00:37:24,160 --> 00:37:29,080
Speaker 1: for the farmers. Yeah, and then whereas like Darth Vader,

638
00:37:29,120 --> 00:37:31,000
Speaker 1: they lived on the State of the Art Death Star,

639
00:37:31,080 --> 00:37:35,360
Speaker 1: and that automatically that code says urban versus rural. Rural

640
00:37:35,480 --> 00:37:37,759
Speaker 1: is the good guys. Urban is the people who are

641
00:37:37,800 --> 00:37:42,040
Speaker 1: out of touch, wealthy. Well, that's that's all it is.

642
00:37:42,280 --> 00:37:47,239
Speaker 1: It's the way they see everything that's symbolized in like

643
00:37:48,280 --> 00:37:54,360
Speaker 1: urban people, the education level, the income level, the people

644
00:37:54,480 --> 00:37:57,399
Speaker 1: talking about, oh have you seen Hamilton's yet, Oh, you've

645
00:37:57,440 --> 00:38:01,120
Speaker 1: got to go, It's amazing. It was like the rest

646
00:38:01,160 --> 00:38:04,239
Speaker 1: the other cent of America who did not have access

647
00:38:04,320 --> 00:38:08,920
Speaker 1: to Hamilton's in any capacity, got real sick of seeing

648
00:38:09,000 --> 00:38:11,920
Speaker 1: sitcom episodes where all of the characters are trying to

649
00:38:11,920 --> 00:38:15,960
Speaker 1: get Hamilton's tickets. Like you get these signals that like

650
00:38:16,040 --> 00:38:18,640
Speaker 1: they're living on a different planet and it's a different

651
00:38:18,640 --> 00:38:23,359
Speaker 1: planet where they are detached from real problems, you know.

652
00:38:23,840 --> 00:38:27,759
Speaker 1: And again that's obviously us on this podcast think that's unfair,

653
00:38:28,360 --> 00:38:30,600
Speaker 1: But it shouldn't be that hard to grasp because it

654
00:38:30,640 --> 00:38:34,960
Speaker 1: turns up in pop culture everywhere. Well yeah, that idea though, too,

655
00:38:35,000 --> 00:38:37,680
Speaker 1: that we live in these separate and almost planets within

656
00:38:37,680 --> 00:38:40,080
Speaker 1: a country. I could kind of see that sort of

657
00:38:40,120 --> 00:38:42,960
Speaker 1: being amplified when I was I was looking at like

658
00:38:43,000 --> 00:38:45,759
Speaker 1: how a lot of the Q and on. People were

659
00:38:46,000 --> 00:38:48,759
Speaker 1: so disheartened by the results of the mid terms because

660
00:38:48,760 --> 00:38:51,640
Speaker 1: they were promised a red wave by Q and they

661
00:38:51,680 --> 00:38:54,640
Speaker 1: were fully invested, like Okay, this is our time, and

662
00:38:54,680 --> 00:38:56,920
Speaker 1: when that didn't happen, they became so disheartened, and the

663
00:38:56,960 --> 00:38:59,080
Speaker 1: talk just became to like, oh, man, one of the

664
00:38:59,120 --> 00:39:01,200
Speaker 1: mo abs going to be dropped on their city. Like

665
00:39:01,400 --> 00:39:04,000
Speaker 1: this idea that like the military needs to come in.

666
00:39:04,040 --> 00:39:06,680
Speaker 1: That there's this view that there are all these people

667
00:39:06,719 --> 00:39:08,840
Speaker 1: who are you know, part of I guess support this

668
00:39:08,920 --> 00:39:12,640
Speaker 1: deep state or whatever force their diametrically opposed to is,

669
00:39:13,120 --> 00:39:15,160
Speaker 1: you know, exists in this other part that is like

670
00:39:15,239 --> 00:39:17,520
Speaker 1: so well defined that you could just drop bombs on

671
00:39:17,560 --> 00:39:19,839
Speaker 1: it or send the military in as if it's like

672
00:39:19,880 --> 00:39:23,000
Speaker 1: this other were like, I don't know, a rogue army

673
00:39:23,120 --> 00:39:27,560
Speaker 1: or something that's like gallivanting around the country. Yeah. Another

674
00:39:27,600 --> 00:39:29,719
Speaker 1: thing I was just thinking about is that, you know,

675
00:39:29,800 --> 00:39:33,120
Speaker 1: when you look at the endowments of these universities. Harvard

676
00:39:33,200 --> 00:39:37,520
Speaker 1: University has a thirty eight billion dollar endowment, Yale has

677
00:39:37,560 --> 00:39:42,359
Speaker 1: a twenty six billion dollar endowments, Stanford billion, Prince, these

678
00:39:42,360 --> 00:39:46,680
Speaker 1: are universities that still charge people, you know, hundreds of

679
00:39:46,680 --> 00:39:49,640
Speaker 1: thousands of dollars for a four year in education, Like,

680
00:39:49,760 --> 00:39:53,120
Speaker 1: what are they do? Why would they do that? They

681
00:39:53,160 --> 00:39:56,719
Speaker 1: don't need the money, so you're gate keeping, Yeah, gate

682
00:39:56,800 --> 00:39:58,920
Speaker 1: keeping into a certain extent. It's insane. It came up

683
00:39:58,920 --> 00:40:02,359
Speaker 1: in this Supreme Court case about affirmative action, and it

684
00:40:02,440 --> 00:40:04,880
Speaker 1: was just kind of I hadn't really thought about it

685
00:40:04,920 --> 00:40:07,239
Speaker 1: in a while, but the fact that colleges still use

686
00:40:07,360 --> 00:40:12,719
Speaker 1: legacy is insane that that, Why would you in a

687
00:40:12,880 --> 00:40:17,520
Speaker 1: society where you know, this is a huge part of

688
00:40:17,560 --> 00:40:21,200
Speaker 1: the sorting process and we're supposed to be a meritocracy.

689
00:40:21,239 --> 00:40:23,840
Speaker 1: And I know that might seem like willfully naive to

690
00:40:24,760 --> 00:40:29,400
Speaker 1: think that America isn't meritocracy, but it's just colleges, I

691
00:40:29,440 --> 00:40:33,600
Speaker 1: feel like, are very complicit in this whole thing and

692
00:40:33,680 --> 00:40:36,359
Speaker 1: this whole divide. Yeah, well, I think again, like you know,

693
00:40:36,560 --> 00:40:39,399
Speaker 1: with Harvard, the Ivy leagues, to even go to one

694
00:40:39,440 --> 00:40:43,000
Speaker 1: already puts you in another class, another culture of people.

695
00:40:43,440 --> 00:40:45,920
Speaker 1: And I think the more you can, the more obstacles

696
00:40:45,960 --> 00:40:48,400
Speaker 1: there are to attain that. That's how they protect that

697
00:40:48,480 --> 00:40:50,879
Speaker 1: class of people. And I think just with even when

698
00:40:50,880 --> 00:40:54,680
Speaker 1: you look at education, it's increasingly harder and harder to

699
00:40:55,200 --> 00:40:58,360
Speaker 1: be a not do not have a lot of uh

700
00:40:58,520 --> 00:41:01,160
Speaker 1: like cash at your dispose and still try and get

701
00:41:01,160 --> 00:41:05,760
Speaker 1: a college education without you know, having to work multiple

702
00:41:05,880 --> 00:41:09,239
Speaker 1: jobs at once or rely on like you know, predatory

703
00:41:09,320 --> 00:41:11,880
Speaker 1: loans or something. It's just yeah, it's just sort of

704
00:41:11,880 --> 00:41:14,400
Speaker 1: set up in a way that's really just kind of

705
00:41:14,440 --> 00:41:16,280
Speaker 1: making it harder for people to sort of move into

706
00:41:16,280 --> 00:41:19,440
Speaker 1: that right by design. And this is something that it's

707
00:41:19,440 --> 00:41:23,000
Speaker 1: a subject that you rarely here discussed, which is the

708
00:41:23,080 --> 00:41:26,640
Speaker 1: idea that you have classes that specifically are built to

709
00:41:26,800 --> 00:41:29,640
Speaker 1: keep other people out of that of that class, of

710
00:41:29,640 --> 00:41:32,239
Speaker 1: that social class. It's a subject we don't like to

711
00:41:32,280 --> 00:41:34,959
Speaker 1: talk about much at all. We love to talk about

712
00:41:34,960 --> 00:41:37,759
Speaker 1: economic class like that's you know, we love to talk

713
00:41:37,800 --> 00:41:41,239
Speaker 1: about race. But the idea of like social classes and

714
00:41:41,320 --> 00:41:43,640
Speaker 1: how much of a role it plays in terms of

715
00:41:43,680 --> 00:41:47,600
Speaker 1: what opportunities are available to you. Uh, it's almost like

716
00:41:47,840 --> 00:41:51,080
Speaker 1: the people who are most invested in that have the

717
00:41:51,160 --> 00:41:55,480
Speaker 1: power to make us not discuss it. Right, And it's

718
00:41:55,480 --> 00:41:58,839
Speaker 1: not a conspiracy theory. It's you look at the schools

719
00:41:58,920 --> 00:42:01,480
Speaker 1: that you know, remembers of Congress went to, or that

720
00:42:02,040 --> 00:42:06,080
Speaker 1: you know C. E. O. S went to. Yeah, it's

721
00:42:06,320 --> 00:42:09,920
Speaker 1: there's you know there's entire sections of the economy or

722
00:42:10,000 --> 00:42:13,600
Speaker 1: of the of society where which school you went to

723
00:42:14,280 --> 00:42:18,319
Speaker 1: and which fraternity you're a member of is everything that's

724
00:42:18,400 --> 00:42:20,440
Speaker 1: part of what gets you on the door. I remember

725
00:42:20,440 --> 00:42:24,040
Speaker 1: when Trump was determining who his final list of Supreme

726
00:42:24,080 --> 00:42:28,200
Speaker 1: Court nominees were going to be, that they distinguished Amy

727
00:42:28,239 --> 00:42:31,279
Speaker 1: Coney Barrett as like being different because she went to

728
00:42:31,320 --> 00:42:34,040
Speaker 1: Notre Dame and didn't go to Yale. It was like,

729
00:42:34,080 --> 00:42:39,040
Speaker 1: seen as weird to have not gone to one college Yale.

730
00:42:39,160 --> 00:42:41,719
Speaker 1: They were like, and she's very different in addition to

731
00:42:41,760 --> 00:42:44,320
Speaker 1: being a woman. She didn't go to Yale as opposed

732
00:42:44,360 --> 00:42:47,640
Speaker 1: to every other member on the list. But Trump might

733
00:42:47,680 --> 00:42:49,400
Speaker 1: want more of a Yelle guy. It's like, what the

734
00:42:49,440 --> 00:42:51,840
Speaker 1: funk are you talking about? What does that mean? But

735
00:42:52,080 --> 00:42:54,040
Speaker 1: those are the optics to someone like that, who was

736
00:42:54,080 --> 00:42:57,680
Speaker 1: just like, oh, this is a It's a signal to him, Okay,

737
00:42:57,760 --> 00:43:00,239
Speaker 1: Yale equals this thing. And it's like sort of my topic,

738
00:43:00,680 --> 00:43:03,640
Speaker 1: what can and Trust's relationship to class has always been

739
00:43:03,719 --> 00:43:07,360
Speaker 1: very complicated. He was a queen's guy who always wanted

740
00:43:07,400 --> 00:43:10,440
Speaker 1: to break into the island of Manhattan, and you know,

741
00:43:10,560 --> 00:43:12,520
Speaker 1: he claims to hate the New York Times, but he

742
00:43:12,520 --> 00:43:14,839
Speaker 1: always wanted The New York Times to write about him,

743
00:43:14,960 --> 00:43:19,520
Speaker 1: and you know, so there's also some degree of you know,

744
00:43:19,640 --> 00:43:25,080
Speaker 1: aspiration even I think probably embedded in him even now

745
00:43:25,120 --> 00:43:28,240
Speaker 1: that he's the President of the United States. We're gonna

746
00:43:28,640 --> 00:43:32,800
Speaker 1: link off to Jason. Included in our duck a something

747
00:43:32,840 --> 00:43:38,520
Speaker 1: called Clarita's Prism, which is a list marketers created of

748
00:43:38,600 --> 00:43:42,960
Speaker 1: the sixty eight different classes in America as defined by marketers.

749
00:43:43,400 --> 00:43:47,239
Speaker 1: So yeah, you can get real specific in particular. But

750
00:43:47,320 --> 00:43:49,239
Speaker 1: these are the sorts of things that people who sell

751
00:43:49,320 --> 00:43:53,359
Speaker 1: us stuff know about us that we don't think about ourselves.

752
00:43:54,360 --> 00:43:56,799
Speaker 1: They're like, are you a money in brains person or

753
00:43:56,880 --> 00:43:59,319
Speaker 1: a winner circle kind of person? You're like, oh, this

754
00:43:59,360 --> 00:44:02,680
Speaker 1: is getting very nuance. Oh you can find yourself on

755
00:44:02,719 --> 00:44:05,520
Speaker 1: the list. No one, no one likes to think of

756
00:44:05,560 --> 00:44:10,080
Speaker 1: themselves as just a type. But yeah, to these marketing firms,

757
00:44:10,360 --> 00:44:12,360
Speaker 1: trust me, they can take one look at the type

758
00:44:12,360 --> 00:44:14,239
Speaker 1: of shoes you where, they can take a look at

759
00:44:14,239 --> 00:44:16,960
Speaker 1: where you ate lunch. It's like, ah, you are an

760
00:44:17,480 --> 00:44:21,480
Speaker 1: whatever whatever they're cutesy name for. Just one other real

761
00:44:21,560 --> 00:44:26,520
Speaker 1: quick statistic that I've seen kind of thrown around about

762
00:44:26,920 --> 00:44:32,040
Speaker 1: how the midterms went down, is that the you know,

763
00:44:32,200 --> 00:44:34,359
Speaker 1: if you want to look at just overall the mood

764
00:44:34,400 --> 00:44:37,040
Speaker 1: of the nation, then the House vote is probably the

765
00:44:37,080 --> 00:44:40,160
Speaker 1: best way to do that, since there are House elections

766
00:44:40,200 --> 00:44:44,000
Speaker 1: everywhere in the country and it's not you know, one

767
00:44:44,080 --> 00:44:48,719
Speaker 1: personality that is defining how an entire state votes, but uh,

768
00:44:49,120 --> 00:44:52,799
Speaker 1: you know, it's a bunch of different individual opportunities for

769
00:44:52,840 --> 00:44:56,799
Speaker 1: people to vote in line with their their values. And

770
00:44:57,160 --> 00:45:03,640
Speaker 1: so Democrats one the House popular vote by more than

771
00:45:03,840 --> 00:45:09,359
Speaker 1: any party has won the House popular vote in many years,

772
00:45:09,400 --> 00:45:12,239
Speaker 1: I think, since two thousand eight was the last time.

773
00:45:12,280 --> 00:45:16,960
Speaker 1: But it's like more than these legendary red wave elections

774
00:45:17,040 --> 00:45:21,600
Speaker 1: like when New Gang Rich like took the House away

775
00:45:21,600 --> 00:45:25,200
Speaker 1: from the Democrats. And it's you know, more than the

776
00:45:25,239 --> 00:45:30,040
Speaker 1: two thousand ten election that was supposedly this huge referendum

777
00:45:30,080 --> 00:45:32,520
Speaker 1: on Obama. And it's not. The numbers aren't final yet,

778
00:45:32,520 --> 00:45:35,760
Speaker 1: but they're thinking it's going to be in that range

779
00:45:35,840 --> 00:45:38,759
Speaker 1: where it would have been a way of election were

780
00:45:38,800 --> 00:45:44,080
Speaker 1: it not for these institutional things like jerrymandering and also

781
00:45:44,200 --> 00:45:47,200
Speaker 1: just the bad luck of the draw when it came

782
00:45:47,239 --> 00:45:51,200
Speaker 1: to Senate seats. Yeah, so I don't know, I guess

783
00:45:51,239 --> 00:45:53,600
Speaker 1: I'm curious why because I do see a lot of

784
00:45:53,600 --> 00:45:58,160
Speaker 1: mainstream media covering this as though, you know, why did

785
00:45:58,160 --> 00:46:02,080
Speaker 1: the blue wave fail to materialize? Is and it's like, yeah,

786
00:46:02,239 --> 00:46:06,480
Speaker 1: I mean that's that's definitely a way of interpreting it. Um.

787
00:46:06,520 --> 00:46:11,880
Speaker 1: It's also you know, the people voted in record number

788
00:46:12,000 --> 00:46:18,040
Speaker 1: and it was a pretty pretty strong directionally in terms

789
00:46:18,080 --> 00:46:21,640
Speaker 1: of like where people how people move. Yeah. Well, a

790
00:46:21,680 --> 00:46:23,480
Speaker 1: lot of the coverage has sort of been like letting

791
00:46:23,480 --> 00:46:25,480
Speaker 1: the perfect become the enemy of the good in terms

792
00:46:25,520 --> 00:46:27,080
Speaker 1: of how they look at the race, because it's like, well,

793
00:46:27,120 --> 00:46:29,680
Speaker 1: it wasn't a total blowout and meltdown, so therefore was

794
00:46:30,040 --> 00:46:34,560
Speaker 1: shady and it's all expectations. Yeah, And I think you know,

795
00:46:34,600 --> 00:46:37,080
Speaker 1: that's where you also let people know, like this was

796
00:46:37,120 --> 00:46:40,400
Speaker 1: a really good year for all kinds of progressive candidates,

797
00:46:40,400 --> 00:46:43,480
Speaker 1: for women, LGBTQ, people of color, Like there there was

798
00:46:43,560 --> 00:46:46,200
Speaker 1: there were many gains being made in that department. And

799
00:46:46,239 --> 00:46:48,759
Speaker 1: I think there's you know that we can also take

800
00:46:48,760 --> 00:46:51,919
Speaker 1: a second and say this was a hard fought mid

801
00:46:52,040 --> 00:46:54,759
Speaker 1: term and despite a lot of the voter suppression or

802
00:46:54,840 --> 00:46:56,400
Speaker 1: jerrymandering and a lot of other things that we do

803
00:46:56,480 --> 00:46:59,600
Speaker 1: up against that there this there was you can look

804
00:46:59,640 --> 00:47:01,680
Speaker 1: at this in a very positive way and not get

805
00:47:01,680 --> 00:47:05,319
Speaker 1: too down because you know, the Senate stayed read you

806
00:47:05,320 --> 00:47:09,120
Speaker 1: can just get down because you're paying attention to the

807
00:47:10,120 --> 00:47:14,719
Speaker 1: w W E. Villain press conference that went down today.

808
00:47:15,040 --> 00:47:18,400
Speaker 1: Get down about that instead. Uh. And I think the

809
00:47:18,440 --> 00:47:21,799
Speaker 1: fact that the media excused a little bit liberal, I

810
00:47:21,840 --> 00:47:24,720
Speaker 1: think helps us along because they take it so hard,

811
00:47:25,160 --> 00:47:27,640
Speaker 1: like there's so much harder, Like they declare every little

812
00:47:27,640 --> 00:47:32,080
Speaker 1: Republican victory is like massive. And even if if Democrats,

813
00:47:32,280 --> 00:47:36,640
Speaker 1: i mean Democrats flipped six or seven governors so far,

814
00:47:37,160 --> 00:47:39,320
Speaker 1: some are still out of the time this is being recorded,

815
00:47:39,360 --> 00:47:43,040
Speaker 1: like that's huge. They like you have state legislatures that

816
00:47:43,080 --> 00:47:45,960
Speaker 1: have flipped, and that helps dictate like voting policy, all

817
00:47:45,960 --> 00:47:50,120
Speaker 1: sorts of things. They were profound things that happened, like

818
00:47:50,120 --> 00:47:52,440
Speaker 1: a lot of the state level measures and and there

819
00:47:52,480 --> 00:47:55,960
Speaker 1: was like five thousand people gained healthcare because of states

820
00:47:55,960 --> 00:47:59,840
Speaker 1: that now will expand medicaid because like you know, in

821
00:48:00,560 --> 00:48:03,359
Speaker 1: because he flipped the governor because the you know, they

822
00:48:03,360 --> 00:48:05,759
Speaker 1: were it was a ballot measure. Like there was a

823
00:48:05,760 --> 00:48:08,760
Speaker 1: lot that happened. But I think it's similar to where

824
00:48:09,760 --> 00:48:13,400
Speaker 1: the media acted, Like again, the whole concept of like

825
00:48:13,440 --> 00:48:17,600
Speaker 1: the fascist takeover of the government, as if Trump just

826
00:48:17,840 --> 00:48:23,920
Speaker 1: swept into power just overwhelmingly, when again it was votes

827
00:48:23,960 --> 00:48:27,600
Speaker 1: across three states, he lost the popular vote. If you

828
00:48:27,719 --> 00:48:31,400
Speaker 1: replay that election ten times, Trump probably wins three times

829
00:48:31,400 --> 00:48:35,160
Speaker 1: and Hillary probably wins seven. But it's like, oh my gosh,

830
00:48:35,239 --> 00:48:38,160
Speaker 1: this is there. There are now two eras in America

831
00:48:38,320 --> 00:48:41,640
Speaker 1: pre Trump and after Trump, like like everything, like we've

832
00:48:41,680 --> 00:48:44,400
Speaker 1: lost the country. It's like yeah, but see here we

833
00:48:44,400 --> 00:48:48,279
Speaker 1: are two years later and the supposed authoritarian fascist who

834
00:48:48,400 --> 00:48:52,000
Speaker 1: utterly took over the government now cannot pass a single bill.

835
00:48:52,800 --> 00:48:56,239
Speaker 1: He now cannot pass any legislation. He's gonna be harassed

836
00:48:56,440 --> 00:48:59,040
Speaker 1: on or I say harassed, like he's going to be

837
00:48:59,120 --> 00:49:04,480
Speaker 1: investigated in very humiliating ways every week. His taxes are

838
00:49:04,520 --> 00:49:07,920
Speaker 1: going to become public, like two months from now. He

839
00:49:07,960 --> 00:49:11,760
Speaker 1: will hate that, like he already I don't think enjoys

840
00:49:11,800 --> 00:49:16,600
Speaker 1: being president all that much. Like he's going to hate this, right, yeah,

841
00:49:16,840 --> 00:49:19,279
Speaker 1: this is not going to be fun for him. I

842
00:49:19,320 --> 00:49:23,000
Speaker 1: don't think, no, no, not with a little thing called oversight,

843
00:49:22,800 --> 00:49:26,280
Speaker 1: right yeah, And that's because that's built into the system.

844
00:49:26,320 --> 00:49:29,640
Speaker 1: That's why we have midterms. This system is built so

845
00:49:29,719 --> 00:49:33,839
Speaker 1: that one madman cannot take it over. It is the

846
00:49:33,960 --> 00:49:39,040
Speaker 1: system is broken on purpose to make that not happen.

847
00:49:39,120 --> 00:49:42,640
Speaker 1: That's why we haven't had one party maintained like both

848
00:49:42,920 --> 00:49:47,560
Speaker 1: branches of government for four consecutive years since nineteen. We

849
00:49:47,640 --> 00:49:50,920
Speaker 1: elect one after two years, we get so disgusted we

850
00:49:51,040 --> 00:49:54,560
Speaker 1: throw out. We throw them out right and put the

851
00:49:54,600 --> 00:49:57,799
Speaker 1: other party in. And it's it's checks and balances. This

852
00:49:57,880 --> 00:50:00,840
Speaker 1: is the system working. If he if the outrage of

853
00:50:00,840 --> 00:50:03,720
Speaker 1: the country for two years, then guess what, he loses

854
00:50:03,760 --> 00:50:05,800
Speaker 1: a bunch of his power. This is how it's supposed

855
00:50:05,800 --> 00:50:08,680
Speaker 1: to work. Although, yeah, I'm worried about how the Senate

856
00:50:08,800 --> 00:50:11,799
Speaker 1: ends up looking years from now as people begin just

857
00:50:11,880 --> 00:50:15,440
Speaker 1: moving to like the same fifteen states and then you know,

858
00:50:15,560 --> 00:50:17,920
Speaker 1: I think we already have there's that's a lot of

859
00:50:17,920 --> 00:50:20,839
Speaker 1: the debate I've seen spring up from the elections. We're

860
00:50:20,880 --> 00:50:22,360
Speaker 1: basically talking about, all right, what are we gonna do

861
00:50:22,360 --> 00:50:24,480
Speaker 1: about the Senate now? Because you have places like Wyoming

862
00:50:24,840 --> 00:50:27,719
Speaker 1: who have the fraction of the population of something like

863
00:50:27,719 --> 00:50:30,760
Speaker 1: a California, yet they're still getting the two Senate votes,

864
00:50:30,920 --> 00:50:33,520
Speaker 1: and where where do we go? But I think that's

865
00:50:33,560 --> 00:50:35,520
Speaker 1: something that Democrats are gonna have to ask themselves if

866
00:50:35,520 --> 00:50:40,560
Speaker 1: they can ever fully control Congress, right, it's uh, not

867
00:50:40,880 --> 00:50:43,560
Speaker 1: totally clear how that's going to be changed. I hadn't

868
00:50:43,600 --> 00:50:47,600
Speaker 1: realized before Red Wave that wasn't even as big as

869
00:50:47,719 --> 00:50:52,600
Speaker 1: the you know, democrats victory yesterday. Probably that people just

870
00:50:52,680 --> 00:50:56,600
Speaker 1: assumed that Democrats would never lose the House, like that

871
00:50:56,680 --> 00:50:59,240
Speaker 1: was just an assumption. It was taught in political science

872
00:50:59,239 --> 00:51:02,480
Speaker 1: classes like the Democrats are permanently in control of the House,

873
00:51:02,600 --> 00:51:04,879
Speaker 1: and you know, the Republicans might get the Senate here

874
00:51:04,880 --> 00:51:07,440
Speaker 1: and there, but it's never going to change. And like

875
00:51:08,480 --> 00:51:13,000
Speaker 1: Mike Pasco, the host of the Gist podcasts on Slate,

876
00:51:13,200 --> 00:51:16,920
Speaker 1: was talking about how in he took a political science

877
00:51:16,960 --> 00:51:24,120
Speaker 1: class where they taught that Democrats, Um, so, you know,

878
00:51:24,200 --> 00:51:29,440
Speaker 1: stuff that seems structural and insurmountable one year can can

879
00:51:29,480 --> 00:51:33,560
Speaker 1: always flip with a you know, very charismatic person like

880
00:51:33,800 --> 00:51:37,720
Speaker 1: Newt Gingrich coming to power. Well, and in two thousand

881
00:51:37,760 --> 00:51:39,480
Speaker 1: and eight one Obama got it like that. There were

882
00:51:39,560 --> 00:51:42,960
Speaker 1: plenty of articles about how, okay, well, is this the

883
00:51:43,040 --> 00:51:47,080
Speaker 1: end of the Republican Party forever? Because clearly now it's

884
00:51:47,080 --> 00:51:50,680
Speaker 1: a more diverse country, We're only getting more diverse, right,

885
00:51:50,760 --> 00:51:53,640
Speaker 1: and so clearly like the the party that's based on

886
00:51:53,840 --> 00:51:57,000
Speaker 1: you know, like all of the coded racial stuff and

887
00:51:57,120 --> 00:51:59,239
Speaker 1: immigration and being tough on crime and all that, like

888
00:51:59,280 --> 00:52:02,880
Speaker 1: that's all over. So it's it's like any time you

889
00:52:02,960 --> 00:52:06,279
Speaker 1: try to project a hundred years into the future, and

890
00:52:06,280 --> 00:52:08,400
Speaker 1: this even goes to the Supreme Court, you know what

891
00:52:09,040 --> 00:52:12,640
Speaker 1: it's like. I completely understand the fear of like a

892
00:52:12,680 --> 00:52:16,239
Speaker 1: conservative court for the next forty years. But one of

893
00:52:16,280 --> 00:52:21,839
Speaker 1: these steadfast liberals was a Reagan appointee, like you know,

894
00:52:22,200 --> 00:52:24,640
Speaker 1: like Kennedy was appointed by Reagan, and then Suitor was

895
00:52:24,680 --> 00:52:28,880
Speaker 1: appointed by was a Bush senior, Like these were appointed

896
00:52:28,880 --> 00:52:32,279
Speaker 1: by Republicans and then they became liberals after they sat

897
00:52:32,320 --> 00:52:36,600
Speaker 1: on the court. This is not as straightforward as you think.

898
00:52:36,760 --> 00:52:39,560
Speaker 1: These guys tend to lean leftward as they get older

899
00:52:39,560 --> 00:52:42,640
Speaker 1: in many cases or in some cases, they're not just

900
00:52:42,760 --> 00:52:46,920
Speaker 1: partisan hacks, like they are actually trying to do like

901
00:52:47,000 --> 00:52:51,080
Speaker 1: what they're following the Constitution. Like it's not strictly you know,

902
00:52:51,640 --> 00:52:55,560
Speaker 1: we we talked about like Republican Supreme Court justices that historically,

903
00:52:55,560 --> 00:52:59,600
Speaker 1: actually it hasn't necessarily worked that way. We will see

904
00:52:59,680 --> 00:53:03,040
Speaker 1: with having On because he, on one hand, does seem

905
00:53:03,080 --> 00:53:06,759
Speaker 1: to be the most I don't know, his hearing was

906
00:53:07,000 --> 00:53:10,120
Speaker 1: the most partisan that we've ever seen a Supreme Court justice.

907
00:53:10,200 --> 00:53:13,480
Speaker 1: But all right, we're gonna show another quick break and

908
00:53:13,800 --> 00:53:27,399
Speaker 1: we'll be right back with some lighter stuff. And we're

909
00:53:27,440 --> 00:53:33,759
Speaker 1: back and a couple of quick things here. Yes, breaking bad,

910
00:53:34,239 --> 00:53:38,000
Speaker 1: breaking news, breaking news about breaking bad. There may be

911
00:53:38,120 --> 00:53:40,839
Speaker 1: a movie. Yeah, I mean, I don't know if we

912
00:53:40,920 --> 00:53:44,320
Speaker 1: need a breaking bad movie, but I like, better call saulce.

913
00:53:44,400 --> 00:53:47,360
Speaker 1: I'm still I like that universe. But yeah, the rumors

914
00:53:47,719 --> 00:53:51,200
Speaker 1: now that the rumors are grumbling that Vince Gilligan has

915
00:53:51,239 --> 00:53:56,080
Speaker 1: been working on a feature like script titled Greenbrier, which

916
00:53:56,120 --> 00:53:59,960
Speaker 1: would center possibly around Jesse Pinkman's character, and I mean

917
00:54:00,040 --> 00:54:01,759
Speaker 1: it looks I mean a lot of people reporting on

918
00:54:01,800 --> 00:54:05,000
Speaker 1: it like Okay, this is definitely moving somewhere. And then

919
00:54:05,000 --> 00:54:07,160
Speaker 1: Brian Cranston was recently asked when he was on The

920
00:54:07,239 --> 00:54:09,399
Speaker 1: Dan Patrick Show, and he was like, Hey, I haven't

921
00:54:09,400 --> 00:54:12,120
Speaker 1: read a script, but he's like, but if if it's happening,

922
00:54:12,160 --> 00:54:14,600
Speaker 1: and Vince asked me, He's like, I'm I'm there, I'm

923
00:54:14,680 --> 00:54:18,440
Speaker 1: kis and barging it up. This is something that fans

924
00:54:18,480 --> 00:54:22,080
Speaker 1: always go crazy about. I even went crazy about the

925
00:54:22,120 --> 00:54:24,480
Speaker 1: fact that there is now a Deadwood movie that is

926
00:54:24,520 --> 00:54:28,240
Speaker 1: in production because I that specifically was a TV show

927
00:54:28,320 --> 00:54:32,280
Speaker 1: that just kind of left on an open plot point

928
00:54:32,320 --> 00:54:35,160
Speaker 1: and I'm excited to see how they close it up.

929
00:54:35,239 --> 00:54:38,839
Speaker 1: And I just loved that show. But TV shows that

930
00:54:38,920 --> 00:54:43,160
Speaker 1: the creators of that TV show then like expanded into

931
00:54:43,200 --> 00:54:46,719
Speaker 1: a movie. What what is the successful precedent for that?

932
00:54:47,280 --> 00:54:50,680
Speaker 1: I have know what? Like there's the X Files movies

933
00:54:50,960 --> 00:54:54,800
Speaker 1: that were like didn't do great, not great? Um what else?

934
00:54:55,520 --> 00:54:57,960
Speaker 1: I mean? They even managed to funk up the Simpsons movie.

935
00:54:58,000 --> 00:55:00,239
Speaker 1: I mean, it wasn't bad, but it was just like

936
00:55:00,280 --> 00:55:03,280
Speaker 1: an hour and a half length episode of The Simpsons. Yeah,

937
00:55:03,480 --> 00:55:07,040
Speaker 1: Like I mean, I I'll love anything made mine, but yeah,

938
00:55:07,640 --> 00:55:11,920
Speaker 1: I'm trying to south Park. South Park movie was probably

939
00:55:12,560 --> 00:55:15,799
Speaker 1: my favorite example of this succeeding. Yeah. Well, I mean

940
00:55:15,840 --> 00:55:17,920
Speaker 1: and also I feel like the Star Trek films were

941
00:55:17,920 --> 00:55:19,920
Speaker 1: able to kind of take their people you saw on

942
00:55:20,000 --> 00:55:22,279
Speaker 1: TV and then put them into a movie and it

943
00:55:22,320 --> 00:55:25,600
Speaker 1: wasn't that jarring. That's the example that I was looking for,

944
00:55:25,760 --> 00:55:28,200
Speaker 1: and that is probably what they are thinking. They're like,

945
00:55:28,200 --> 00:55:30,080
Speaker 1: that's it's the next star star Trek. We're gonna star

946
00:55:30,120 --> 00:55:32,919
Speaker 1: Trek this, Uh, spin it out, You're gonna Star Trek

947
00:55:32,960 --> 00:55:34,920
Speaker 1: breaking Okay, Well, I mean because when you look at

948
00:55:34,960 --> 00:55:37,520
Speaker 1: the other films too that have like been based off shows,

949
00:55:37,520 --> 00:55:39,480
Speaker 1: they're never really the original cast. Like there's like a

950
00:55:39,520 --> 00:55:43,560
Speaker 1: Bewitched movie or like the flint Stone right exactly where

951
00:55:43,560 --> 00:55:45,560
Speaker 1: they're just like, Okay, let's take that I p and

952
00:55:45,600 --> 00:55:48,520
Speaker 1: then turn it up like times a hundred of Superstars.

953
00:55:49,640 --> 00:55:53,239
Speaker 1: So I don't know, I'm interested in breaking bad movie. Yeah,

954
00:55:53,360 --> 00:55:55,239
Speaker 1: look why not? You know, Look, if I got a

955
00:55:55,239 --> 00:55:58,479
Speaker 1: reason to bust out my old sweet blue prop meth,

956
00:55:58,920 --> 00:56:04,360
Speaker 1: take it to a movie theater and I'd say it's props. Also,

957
00:56:04,440 --> 00:56:07,799
Speaker 1: I think from like the creator's point of view, I

958
00:56:07,840 --> 00:56:10,359
Speaker 1: think this is always less about the story they want

959
00:56:10,400 --> 00:56:13,480
Speaker 1: to tell and more just Vince Galagin would like to

960
00:56:13,520 --> 00:56:16,560
Speaker 1: work with Aaron Paul again, and he's got that. He's

961
00:56:16,600 --> 00:56:18,719
Speaker 1: got that crew in Albuquerque he likes working with. I

962
00:56:18,719 --> 00:56:20,399
Speaker 1: think a lot of it's just like and of course

963
00:56:20,440 --> 00:56:23,360
Speaker 1: they'll amc Will will be behind whatever the hell he

964
00:56:23,400 --> 00:56:26,960
Speaker 1: wants to together. So I think it starts because like

965
00:56:26,960 --> 00:56:29,120
Speaker 1: when they made the decision to make Better Call Saul,

966
00:56:29,360 --> 00:56:31,200
Speaker 1: like he at the first thought it was gonna be

967
00:56:31,239 --> 00:56:34,400
Speaker 1: like a half hour wacky sitcom where it's like every

968
00:56:34,480 --> 00:56:36,719
Speaker 1: every week they would have a new wacky case, and

969
00:56:36,800 --> 00:56:40,719
Speaker 1: they later decided, oh no, that's the worst idea anyone's

970
00:56:40,760 --> 00:56:45,200
Speaker 1: ever had. But like, the vision for the show wasn't anywhere.

971
00:56:45,239 --> 00:56:47,520
Speaker 1: All they knew was like, we'd love to work with

972
00:56:47,560 --> 00:56:49,959
Speaker 1: Bob Odin Kirk. We would love to, you know, keep

973
00:56:50,000 --> 00:56:53,200
Speaker 1: this crew together, keep filming here, you know, keep this

974
00:56:53,280 --> 00:56:55,239
Speaker 1: creative team together, and then you kind of come up

975
00:56:55,280 --> 00:56:58,400
Speaker 1: with the story after that. I think from the audience's

976
00:56:58,400 --> 00:57:00,200
Speaker 1: point of view, you always assume it's all about out.

977
00:57:00,239 --> 00:57:01,960
Speaker 1: You know, there's more to the story to tell, But

978
00:57:02,160 --> 00:57:06,080
Speaker 1: in reality that's often the last thing. They're like, wait, so,

979
00:57:06,160 --> 00:57:09,120
Speaker 1: what the funk are we gonna do? Um No, it's

980
00:57:09,200 --> 00:57:12,040
Speaker 1: literally that like it's it's you get the band back together.

981
00:57:12,080 --> 00:57:13,600
Speaker 1: It's like, all right, let's sit down, get in the

982
00:57:13,640 --> 00:57:16,160
Speaker 1: meeting room, and well we'll have fun, we'll come up

983
00:57:16,200 --> 00:57:18,360
Speaker 1: with something. It'll be it'll be fine, it'll be it'll

984
00:57:18,400 --> 00:57:21,320
Speaker 1: turn out that uh, that that was all a dream,

985
00:57:21,480 --> 00:57:23,919
Speaker 1: that that Heisenberg was having, the part where he died.

986
00:57:23,960 --> 00:57:27,360
Speaker 1: He'll like sit up in bed, like, oh thank god,

987
00:57:27,600 --> 00:57:31,240
Speaker 1: that was just now. Well I had to go back

988
00:57:31,280 --> 00:57:35,320
Speaker 1: to a cooking meth. My theory has always been that

989
00:57:35,680 --> 00:57:39,600
Speaker 1: Vince Gilligan's idea was to try and escape, like because

990
00:57:39,640 --> 00:57:43,720
Speaker 1: Brian Cranston was so good as Walter White and he

991
00:57:43,800 --> 00:57:47,720
Speaker 1: was like really attached to the character. I think Better

992
00:57:47,760 --> 00:57:51,000
Speaker 1: Call Saul was like his chance to like go back

993
00:57:51,240 --> 00:57:55,480
Speaker 1: and work on that show without the attachment of Brian

994
00:57:55,560 --> 00:57:58,640
Speaker 1: Cranston's attachment to that character. Because I think the end

995
00:57:58,680 --> 00:58:01,480
Speaker 1: of the series Breaking Bad like went off in a

996
00:58:01,520 --> 00:58:03,800
Speaker 1: weird direction that wasn't true to like how they had

997
00:58:03,840 --> 00:58:06,560
Speaker 1: written it and directed it up to that point. Um,

998
00:58:06,800 --> 00:58:10,440
Speaker 1: So I just wonder if that relationship was too complicated

999
00:58:10,520 --> 00:58:14,080
Speaker 1: for Vince Gilligan to navigate, and so he you know,

1000
00:58:14,120 --> 00:58:16,400
Speaker 1: if you see interviews with Bran crasting towards the end

1001
00:58:16,400 --> 00:58:19,320
Speaker 1: of the show, he's like talking about Walter White like

1002
00:58:19,640 --> 00:58:24,680
Speaker 1: with pride as as like someone whose decisions he's validating.

1003
00:58:24,760 --> 00:58:27,080
Speaker 1: And I said, I don't know, it's it's a long,

1004
00:58:27,160 --> 00:58:30,160
Speaker 1: convoluted theory, but I'll be interested to see what they

1005
00:58:30,240 --> 00:58:33,400
Speaker 1: do with this. Uh, We're not going to spend too

1006
00:58:33,480 --> 00:58:36,240
Speaker 1: much time on the Pit Joe Lee divorce other than

1007
00:58:36,720 --> 00:58:38,440
Speaker 1: to say that you'll be hearing a lot of it

1008
00:58:38,520 --> 00:58:43,800
Speaker 1: because it is coming up on December four, and man,

1009
00:58:43,920 --> 00:58:48,760
Speaker 1: the tabloids will do anything to talk about that couple.

1010
00:58:49,120 --> 00:58:51,320
Speaker 1: I know they've spent the last one, I think eight

1011
00:58:51,360 --> 00:58:55,840
Speaker 1: months just making stuff up and making literally photo shopping

1012
00:58:55,880 --> 00:58:59,680
Speaker 1: their faces onto other people's bodies to get a story.

1013
00:59:00,040 --> 00:59:04,560
Speaker 1: But Miles, let's go out on this Thanksgiving recipes by state. Yes, uh,

1014
00:59:04,600 --> 00:59:07,120
Speaker 1: you know over on the takeout Food blog I love

1015
00:59:07,160 --> 00:59:09,760
Speaker 1: to check out. Uh. They apparently got a map from

1016
00:59:09,800 --> 00:59:13,080
Speaker 1: a company called Satellite Internet and they're like a service provider,

1017
00:59:13,080 --> 00:59:15,840
Speaker 1: and they sort of i think, trawled the data they

1018
00:59:15,840 --> 00:59:18,320
Speaker 1: had of people on their network and then put that

1019
00:59:18,400 --> 00:59:20,920
Speaker 1: up against Google trends to see what the top searched

1020
00:59:20,960 --> 00:59:24,760
Speaker 1: recipe was for Thanksgiving by state, And when you look

1021
00:59:24,800 --> 00:59:27,720
Speaker 1: at it, it's it's I mean, it seems pretty par

1022
00:59:27,800 --> 00:59:29,680
Speaker 1: for the course. I think people in California don't know

1023
00:59:29,720 --> 00:59:33,360
Speaker 1: how to make turkey, so they're gonna google turkey. Actually,

1024
00:59:33,600 --> 00:59:36,920
Speaker 1: because we've had examples from the Takeout of maps where

1025
00:59:37,000 --> 00:59:40,240
Speaker 1: each different state had a different like top search result

1026
00:59:40,280 --> 00:59:42,240
Speaker 1: and it was like too good to be true, this

1027
00:59:42,280 --> 00:59:46,600
Speaker 1: one actually seems like it's true because half of the

1028
00:59:46,680 --> 00:59:49,560
Speaker 1: states are just like searching turkey. But then there's some

1029
00:59:49,640 --> 00:59:55,400
Speaker 1: interesting ones, like Jason, you are currently in Tennessee, so

1030
00:59:55,440 --> 00:59:59,640
Speaker 1: that's sweet potato. But you are from Illinois and their

1031
00:59:59,760 --> 01:00:03,960
Speaker 1: number A one searched term is Popeye's Cajun Turkey. I

1032
01:00:04,000 --> 01:00:07,200
Speaker 1: love that. Yeah, they're also what is that? North Carolina

1033
01:00:07,280 --> 01:00:10,120
Speaker 1: was also looking at it. Yeah, there's three different states

1034
01:00:10,160 --> 01:00:13,640
Speaker 1: that have specifically Popeye's Cajun turkey. Is that a thing?

1035
01:00:13,680 --> 01:00:15,600
Speaker 1: Where where would that have come up? That that many

1036
01:00:15,640 --> 01:00:18,800
Speaker 1: people would be? Like? Do they serve that on things? Yeah?

1037
01:00:18,920 --> 01:00:22,400
Speaker 1: It's Illinois, Virginia. My bad, sorry started North Carolina. Yeah,

1038
01:00:22,440 --> 01:00:24,920
Speaker 1: Illinois and Virginia were like the top two Popeyes and

1039
01:00:24,920 --> 01:00:29,040
Speaker 1: then Maryland Is that the yeah? I think so, yeah,

1040
01:00:29,400 --> 01:00:31,600
Speaker 1: I don't. I don't know what it must be. Yeah,

1041
01:00:31,600 --> 01:00:34,040
Speaker 1: because there's I don't see any other like restaurant type

1042
01:00:34,040 --> 01:00:36,880
Speaker 1: recipe on here. It's weird that that specific one that's

1043
01:00:36,920 --> 01:00:39,760
Speaker 1: the one that jumps out of like the most confusing.

1044
01:00:40,840 --> 01:00:43,400
Speaker 1: I mean it sounds good. I like if Popeyes was

1045
01:00:43,440 --> 01:00:45,840
Speaker 1: serving the Cajun turkey turkey, I'd certainly try it. And

1046
01:00:45,880 --> 01:00:52,360
Speaker 1: Connecticut's just Thanksgiving desserts just that broadly. Louisiana also Popeyecasian chicken,

1047
01:00:52,960 --> 01:00:56,600
Speaker 1: the cornbread dressing. Oh are they yeah? Yeah, that's the

1048
01:00:56,600 --> 01:00:59,959
Speaker 1: boot shaped one. Sorry, it's Mississippi. That is Popeye's Cajun chicken.

1049
01:01:00,320 --> 01:01:03,240
Speaker 1: These maps always test our ability to identify states based

1050
01:01:03,240 --> 01:01:06,000
Speaker 1: on the shape. Green being cast role in Texas is

1051
01:01:06,640 --> 01:01:09,480
Speaker 1: sounds good. It's also the entire like the Midwest is

1052
01:01:09,520 --> 01:01:13,560
Speaker 1: pretty uniform and green being castrole being there dish. Yeah,

1053
01:01:13,720 --> 01:01:17,560
Speaker 1: for some reason, Utah is jello. Wasn't somebody saying in

1054
01:01:17,600 --> 01:01:20,760
Speaker 1: the in our mentions that jello is like really big

1055
01:01:20,760 --> 01:01:23,600
Speaker 1: in Utah? I think in just in general, like, yeah,

1056
01:01:24,160 --> 01:01:27,640
Speaker 1: jello as Yeah, it's just been used all over the

1057
01:01:27,640 --> 01:01:32,160
Speaker 1: place in Alaska pumpkin cheesecake. Okay, alright, Alaska doing something different.

1058
01:01:32,360 --> 01:01:36,960
Speaker 1: I like it, Jason, anything that you're really looking forward to. Uh,

1059
01:01:37,080 --> 01:01:41,120
Speaker 1: I don't like sweet potatoes. I like just all of

1060
01:01:41,160 --> 01:01:43,360
Speaker 1: the butter and the sugar that you put on them.

1061
01:01:43,720 --> 01:01:45,920
Speaker 1: Like the sweet potatoes are kind of just a vessel

1062
01:01:46,040 --> 01:01:49,000
Speaker 1: to to hold the butter and the sugar together. Like

1063
01:01:49,040 --> 01:01:51,080
Speaker 1: it could literally be anything. It could be a piece

1064
01:01:51,080 --> 01:01:53,480
Speaker 1: of fish, and I'd probably get the same experience out

1065
01:01:53,480 --> 01:01:56,600
Speaker 1: of it. Um. I So I like the way they

1066
01:01:56,640 --> 01:01:58,560
Speaker 1: make sweet But if you just hand me a sweet

1067
01:01:58,600 --> 01:02:01,120
Speaker 1: potato that you've baked for the grocery store. Yeah, no,

1068
01:02:01,200 --> 01:02:03,240
Speaker 1: I'm not gonna eat that. So what I'm saying that

1069
01:02:03,240 --> 01:02:05,200
Speaker 1: because I want to clarify when I say I like

1070
01:02:05,240 --> 01:02:09,240
Speaker 1: sweet potatoes, I like the stuff that you use to

1071
01:02:09,480 --> 01:02:13,080
Speaker 1: hide the taste of the sweet potatoes. So you're a

1072
01:02:13,080 --> 01:02:15,160
Speaker 1: big butter guy, Yeah, kind of like the same way

1073
01:02:15,240 --> 01:02:18,200
Speaker 1: I enjoy coffee. It's like, yeah, it's it's coffee with

1074
01:02:18,200 --> 01:02:21,880
Speaker 1: with a half pound of sugar in it. Right, So yeah,

1075
01:02:21,920 --> 01:02:24,440
Speaker 1: my mom makes a sweet potato cast role that is

1076
01:02:25,280 --> 01:02:27,760
Speaker 1: just that it has this crust on the top of

1077
01:02:27,800 --> 01:02:31,240
Speaker 1: it that is like pecan and so much. It's like

1078
01:02:31,320 --> 01:02:35,560
Speaker 1: a it's a dozen glazed donuts worth of sugar in

1079
01:02:35,800 --> 01:02:39,840
Speaker 1: every bite serving. Yeah, and every bite it's just like

1080
01:02:40,160 --> 01:02:44,400
Speaker 1: rock solid. But it's real good. Anyways, Jason, it's been

1081
01:02:44,640 --> 01:02:48,640
Speaker 1: great being on a podcast with you again. Man, Where

1082
01:02:48,680 --> 01:02:53,240
Speaker 1: can people find you? Follow you? I'm on the Crank Podcast,

1083
01:02:53,360 --> 01:02:57,040
Speaker 1: not every single episode, but they're they're always good. The

1084
01:02:57,040 --> 01:03:00,360
Speaker 1: the episodes that I'm not on, some would say actually

1085
01:03:00,440 --> 01:03:04,360
Speaker 1: better than the ones I'm on. If you want to read,

1086
01:03:04,400 --> 01:03:07,640
Speaker 1: if somebody wants to read my books, the novel that

1087
01:03:08,480 --> 01:03:11,040
Speaker 1: made me put me on the map as an author

1088
01:03:11,160 --> 01:03:14,680
Speaker 1: is to ninety nine this whole month, John Dyes. At

1089
01:03:14,680 --> 01:03:17,200
Speaker 1: the end on Kendall is they've got it on sale,

1090
01:03:18,080 --> 01:03:21,280
Speaker 1: and then there's sequels to it if you like that,

1091
01:03:21,400 --> 01:03:24,280
Speaker 1: but they will all cost you more because that's how

1092
01:03:24,520 --> 01:03:29,840
Speaker 1: we get you awesome. And is there a tweet that

1093
01:03:30,960 --> 01:03:34,960
Speaker 1: you have been enjoying? Yeah? Really anything from the Joel

1094
01:03:35,200 --> 01:03:40,720
Speaker 1: Dongstein Twitter account. Um, that is a Yeah. That is

1095
01:03:40,800 --> 01:03:45,000
Speaker 1: a bot that takes televangelist Joel Ostein tweets. You know

1096
01:03:45,160 --> 01:03:49,520
Speaker 1: he is famous pastor and it's simply the bot automatically

1097
01:03:49,600 --> 01:03:55,360
Speaker 1: replaces the word God with the words your dick too

1098
01:03:56,600 --> 01:04:01,880
Speaker 1: too strangely inspirational effect. So here's an example, and again

1099
01:04:01,920 --> 01:04:04,600
Speaker 1: this is taking something Joel Ostein tweeted and then it

1100
01:04:04,720 --> 01:04:09,560
Speaker 1: automatically posted this account as the real victory is not

1101
01:04:09,680 --> 01:04:12,680
Speaker 1: when your dick does everything you want or takes away

1102
01:04:12,720 --> 01:04:16,320
Speaker 1: every frustration. The real victory is when of those things happen,

1103
01:04:16,400 --> 01:04:19,480
Speaker 1: but you are at peace. You know your dick is

1104
01:04:19,520 --> 01:04:27,200
Speaker 1: still in control. Another example, sometimes we forget the good things.

1105
01:04:27,480 --> 01:04:30,840
Speaker 1: We remember the hurts, the disappointments, the mistakes. But look

1106
01:04:30,840 --> 01:04:33,080
Speaker 1: where you are now. If it had not been for

1107
01:04:33,120 --> 01:04:38,960
Speaker 1: the goodness of your dick, you wouldn't be here, and

1108
01:04:39,440 --> 01:04:43,840
Speaker 1: that I find those oddly inspiring every day. I don't

1109
01:04:43,840 --> 01:04:47,240
Speaker 1: know why, but it's like, yeah, that's right, And so

1110
01:04:47,280 --> 01:04:49,880
Speaker 1: every day it's some because you know, Joel Ostin, he's

1111
01:04:50,280 --> 01:04:53,720
Speaker 1: got some intern tweeting out this general greeting card stuff.

1112
01:04:54,240 --> 01:04:57,680
Speaker 1: But for some reason, when it becomes look, you need

1113
01:04:57,720 --> 01:05:00,600
Speaker 1: to stop worrying about what other people want from you,

1114
01:05:00,800 --> 01:05:03,360
Speaker 1: and you need to start worrying about what your dick wants,

1115
01:05:04,320 --> 01:05:09,400
Speaker 1: it's like, yeah, that's right. I should. They have not

1116
01:05:09,480 --> 01:05:11,840
Speaker 1: been sued yet. I don't know if this it's actually

1117
01:05:11,880 --> 01:05:15,160
Speaker 1: if the Joel Ostein Corporation would be able to take

1118
01:05:15,200 --> 01:05:18,080
Speaker 1: this down. I'm sure someday they will, but after right

1119
01:05:18,120 --> 01:05:21,760
Speaker 1: now it's my favorite Twitter. See this is what Twitter

1120
01:05:21,840 --> 01:05:26,160
Speaker 1: does well. Twitter bad for discussing politics for like two

1121
01:05:26,200 --> 01:05:31,560
Speaker 1: sentence jokes. It's magic. Yes, yes, I'm getting a lot

1122
01:05:31,600 --> 01:05:34,400
Speaker 1: of meaning out of this account. Actually, I mean it's so.

1123
01:05:34,520 --> 01:05:36,440
Speaker 1: I mean the Bible in a way is just a

1124
01:05:36,840 --> 01:05:40,280
Speaker 1: you know, ah inspirational book for toxic masculinity, especially if

1125
01:05:40,280 --> 01:05:42,760
Speaker 1: you read it like this. There you go, miles, Where

1126
01:05:42,760 --> 01:05:45,480
Speaker 1: can people find? You? Find me? On Twitter and Instagram

1127
01:05:45,560 --> 01:05:49,080
Speaker 1: at miles of Gray and a tweet I like was

1128
01:05:49,240 --> 01:05:52,000
Speaker 1: actually brought to my attention by one of the zeke Kang.

1129
01:05:52,120 --> 01:05:56,040
Speaker 1: This one was from Robert Hernandez Jr. On Instagram. I

1130
01:05:56,080 --> 01:05:58,800
Speaker 1: see you. You know, we were talking about flow states

1131
01:05:58,880 --> 01:06:02,320
Speaker 1: yesterday and the Onion and posted something It's just a

1132
01:06:02,360 --> 01:06:04,960
Speaker 1: guy on his couch just like housing a bunch of

1133
01:06:04,960 --> 01:06:09,320
Speaker 1: pistachios and it says pistachio eating man achieves flow state

1134
01:06:10,280 --> 01:06:12,840
Speaker 1: because yeah, you in a way man. Yeah, when you

1135
01:06:12,840 --> 01:06:15,560
Speaker 1: get the rhythm going on those pistachios, you can vanish

1136
01:06:15,560 --> 01:06:20,080
Speaker 1: into thin air. Uh. I like to tweet from Neil

1137
01:06:20,160 --> 01:06:23,600
Speaker 1: Brennan where he said America downgraded from extremely racist two

1138
01:06:23,720 --> 01:06:28,760
Speaker 1: very racist. Neil Brennan's funny dude. You can find me

1139
01:06:28,760 --> 01:06:31,720
Speaker 1: on Twitter at Jack Underscore O'Brian. You can find us

1140
01:06:31,720 --> 01:06:34,080
Speaker 1: on Twitter at Daily Zeitgeist for at the Daily zeit

1141
01:06:34,160 --> 01:06:36,400
Speaker 1: Geist on Instagram. We have Facebook fan page on a

1142
01:06:36,440 --> 01:06:38,640
Speaker 1: website Daily I Guys dot com where we past our

1143
01:06:38,680 --> 01:06:41,640
Speaker 1: episodes in our footsover we link off to the information

1144
01:06:41,640 --> 01:06:44,480
Speaker 1: that we talked about in today's episode, as well as

1145
01:06:44,480 --> 01:06:46,320
Speaker 1: the song we ride out on. You can also find

1146
01:06:46,320 --> 01:06:49,600
Speaker 1: that information in the show notes right on h miles

1147
01:06:49,640 --> 01:06:51,840
Speaker 1: What song are we going to write out on Oh man,

1148
01:06:52,000 --> 01:06:54,480
Speaker 1: you know with legal Sniegel kind of having to pack

1149
01:06:54,520 --> 01:06:57,760
Speaker 1: his bags, you know, farewell to you, my man. Yes,

1150
01:06:57,840 --> 01:07:00,360
Speaker 1: Jeff Sessions, Sorry, it was just you don't it puts

1151
01:07:00,400 --> 01:07:02,200
Speaker 1: us in a very weird space. We don't know what's

1152
01:07:02,200 --> 01:07:04,880
Speaker 1: going on. And super producer Nick and I were talking

1153
01:07:04,880 --> 01:07:08,160
Speaker 1: about dub music at lunch and we were just he

1154
01:07:08,200 --> 01:07:10,240
Speaker 1: was talking about Scientists and he put us onto a

1155
01:07:10,280 --> 01:07:14,840
Speaker 1: track for today. This is from the artist Scientists called

1156
01:07:15,080 --> 01:07:18,720
Speaker 1: Taxi to Baltimore and it's y'all, look if you like

1157
01:07:18,800 --> 01:07:21,160
Speaker 1: that dub, if you just need that deep head nod,

1158
01:07:21,400 --> 01:07:24,080
Speaker 1: and you're be coming in all the three uh, strap

1159
01:07:24,320 --> 01:07:28,560
Speaker 1: on your headphones for thirty seconds. Alright, we're gonna write

1160
01:07:28,600 --> 01:07:30,560
Speaker 1: out on that. We will be back tomorrow because it

1161
01:07:30,760 --> 01:08:01,040
Speaker 1: is a daily podcast. We'll talk to you, guess. Just

1162
01:08:01,240 --> 01:08:18,840
Speaker 1: to leave. Got my sister Sandy and my little brother pray. Yeah, yeah,