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Speaker 1: Hello the Internet, and welcome to Season one, twenty two,

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Speaker 1: Episode two of Geist production of My Heart Radio. This

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Speaker 1: is the podcast where you take a deep dive into

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Speaker 1: America's share consciousness. Let's say officially off the top fund,

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Speaker 1: the Koch Brothers and Funk Fox News. It's Tuesday, February.

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Speaker 1: My name's Jack O'Brien a K. I did not even

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Speaker 1: we'll go with potatoes, O'Brien. I didn't even think about

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Speaker 1: your homework. O'Brien. Uh, fucked it up. Didn't do your

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Speaker 1: litter literary literary literature homework. I sucked that up to

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Speaker 1: we're nailing it. I'm thrilled to be joined as always

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Speaker 1: by my co host, Mr Miles Grass. Speaking of Lizz,

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Speaker 1: It's Miles Gray. A k A the account of Monty

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Speaker 1: Costco a k A cron keyhote a k A E D.

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Speaker 1: Iis Rex a k A waiting for Godot my drug dealer,

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Speaker 1: a k A for whom t Bell tolls a K

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Speaker 1: Atlas nugged uh and thank you to add just t

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Speaker 1: v Z a k A S for that wonderful stream

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Speaker 1: all the literary class. Oh yeah, um never read one

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Speaker 1: of them? Are they good? Yeah? Atlas nugg is really good.

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Speaker 1: I'm a huge fan. We're actually gonna talk about that

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Speaker 1: later on whether Atlas is nugging right now. But first, Miles,

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Speaker 1: we're going on the road our time machine to produce

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Speaker 1: around Hosnie. We're leaving actually right as we say the

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Speaker 1: last word on this episode, we're TV and time traveling

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Speaker 1: through space and sprinting to the airport to go to

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Speaker 1: Minneapolis February the Parlay Theater pos tonight see you. They're

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Speaker 1: in Minneapolis, Chicago February seven, Sleeping Village with Daniel van

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Speaker 1: Kirk and Toronto the Grand Finale February at the Great

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Speaker 1: Hall with Mark Little. For tickets, go to Daily Side

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Speaker 1: Guy Little Appearances tab and yeah by tickets, We're we're

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Speaker 1: looking forward to see and then I always stick the

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Speaker 1: landing I found, get to the page and they look

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Speaker 1: at it. Well. We are thrilled to be joined in

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Speaker 1: our third seat by the very talented and funny author

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Speaker 1: of In Defense of Elitism, Why I'm better than you

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Speaker 1: and you are better than someone who didn't buy this book.

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Speaker 1: He is Mr joel Stein. Thank you for having me here. Thanks.

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Speaker 1: I didn't come up with any a ks for myself.

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Speaker 1: That's Okay, it was lazy. Yeah, do you have any

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Speaker 1: want in actual life? Know, I've always wanted the nickname,

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Speaker 1: and no one ever gave me one that it's really

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Speaker 1: it doesn't speak well to the closest was being called

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Speaker 1: by your last name. Yeah, yeah, not even it's been Joel.

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Speaker 1: I've just been Joel, which is so or Mr Stein.

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Speaker 1: Usually it's Mr Stein. Sir. Yes, that's just at home though,

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Speaker 1: that's just with your kids and my wife, Yeah, sir.

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Speaker 1: Uh Well, Joel. Uh, it's great to have you here. Uh.

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Speaker 1: We're going to get to know you a little bit better.

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Speaker 1: And first we're going to tell our listeners a few

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Speaker 1: of things we're talking about today. Uh. And I feel

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Speaker 1: like the Zeit guys really cooperated with having somebody who

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Speaker 1: just wrote a book called In Defense of Elitism on

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Speaker 1: because we are mourning the passing of the flat Earth guy,

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Speaker 1: uh Mad Mike Hues. So we're gonna talk about that.

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Speaker 1: We're gonna talk about Weinstein being found partially guilty but

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Speaker 1: sent straight to jail, which is satisfying. We're gonna talk

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Speaker 1: about Bernie Sanders win in Nevada and the maybe connected

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Speaker 1: stock market kinda going down a little bit or a

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Speaker 1: lot bit and just generally I'm curious to hear your

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Speaker 1: thoughts on that. Joel. We're gonna talk about Sylvester Stallone's

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Speaker 1: new movie, which sounds like an old man's dystopian fantasy.

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Speaker 1: We're gonna talk about you guessed it, the Paw Patrol controversy. Uh.

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Speaker 1: Paw Patrol, a kid's cartoon that, if you're lucky, you

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Speaker 1: probably don't know anything about, but is probably the piece

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Speaker 1: of culture that I am most familiar with over the

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Speaker 1: past two years of my life, is under attack, under

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Speaker 1: fire from the radical left. Je thing from the radical left. Yeah,

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Speaker 1: radical left is uh kind of yeah. They're saying it's no,

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Speaker 1: they're saying it's pro privatization of of things like police

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Speaker 1: service and fire service. Uh. It's not a very solid

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Speaker 1: argument based on with by extensive knowledge, but it's it

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Speaker 1: was not presented as such. It's one of those things

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Speaker 1: where the conservatives are finding a way to kind of

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Speaker 1: be like, we're fucked. They're coming for our Teletubbies and

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Speaker 1: although not Teletubbies, I guess that was their their beef.

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Speaker 1: They're coming for our Paw Patrol. But first, Joel, we

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Speaker 1: like task our guests, what is something from your search

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Speaker 1: history that is revealing about who you are. I thought

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Speaker 1: I was just supposed to tell you the last that's

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Speaker 1: that's good. Does that seemed more odd? That's more revealing?

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Speaker 1: It's sort of is. But um. The last thing I

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Speaker 1: googled was how to pronounce Filfredo Parado, which is someone

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Speaker 1: an Italian economist who came up with the the idea

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Speaker 1: of this essay a nineteen hund called the Circulation of

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Speaker 1: the Elites. And I had mentioned him on another podcast

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Speaker 1: and the other person had a different pronunciation and we

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Speaker 1: got into a physical altercation. That was right. I was right,

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Speaker 1: but only probably because I said it in the audio books.

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Speaker 1: I probably had already checked got it, but I've forgotten that.

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Speaker 1: What was the dispute over what Parado versus Parritoo rookie mistake? Yeah,

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Speaker 1: you hate to see it. I hate to see it.

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Speaker 1: What is something you think is overrated? Over the gut?

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Speaker 1: Everyone like how you feel? Like my My whole book

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Speaker 1: is about the expertise over the gut. So I think

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Speaker 1: you know, I just had an instinct here. I just knew, like,

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Speaker 1: as David Foster Wallace said, like the thing that I

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Speaker 1: most intimately know my gut is that I am the

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Speaker 1: most important person in the exact center of the universe, right, Yeah,

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Speaker 1: it's a very good point. Um yeah, And I've heard

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Speaker 1: you kind of talk about this in relation to both

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Speaker 1: Trump and Bernie Sanders and like sort of the populist

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Speaker 1: movement being something that appeals to the gut as opposed

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Speaker 1: to the the brain. What is that? Is that kind

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Speaker 1: of where you're coming from or is that, yeah, the

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Speaker 1: feeling that some other person or group of people are

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Speaker 1: out to get you and that the system can just

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Speaker 1: be fixed if we just get rid of the bad

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Speaker 1: guy instead of actual systemic fixes, and that you just

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Speaker 1: feel like something is right and you just feel like

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Speaker 1: you know more than the general's That's the stuff that

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Speaker 1: scares me. Man. The amount of miss whenever was the

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Speaker 1: book of mistakes the gut has led us to also

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Speaker 1: just as is important. Um yeah, I think that. Do

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Speaker 1: you think that Sanders is equally guilty as Trumper? Like, no, no,

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Speaker 1: I think he's guilty, But no, not at all. No,

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Speaker 1: they're not in the same league, because I mean, I

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Speaker 1: see how his sort of villainization of the wealthy could

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Speaker 1: be seen as an easy answer, But it does seem

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Speaker 1: like a lot of his proposals are fairly systemic. They're

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Speaker 1: not just some of them are, but some of the

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Speaker 1: systemic ones also seem like they're from the gut. Like

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Speaker 1: when he talks about putting a farmer on the Fed

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Speaker 1: Board of Governors, I feel like we have two reasons

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Speaker 1: we wouldn't eat if he did that. And some of

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Speaker 1: his proposals I think are really like the economist he

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Speaker 1: has I think is is is very fringey and doesn't

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Speaker 1: believe in the fact that like, um, you know, the

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Speaker 1: higher inflation will cause more unemployment and so yes, I

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Speaker 1: feel like he has some things from the gut, some

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Speaker 1: of which are that, um, you know, rich people are

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Speaker 1: stealing money from poor people kind of illegal, we in

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Speaker 1: shady ways compared to we just have a system in

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Speaker 1: which in which people are allowed to accumulate. It happens

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Speaker 1: above board. Yeah exactly. Yeah. Uh. What is something you

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Speaker 1: think is underrated? Underrated? Okay, I did this story. I'm biohacking,

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Speaker 1: and I now feel strongly that sleep is underrated. I

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Speaker 1: know that sounds totally lame and Arianna Huffington is, but

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Speaker 1: I do think like having good solid, deep sleep and

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Speaker 1: good ram sleep is super important, and we're not focusing

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Speaker 1: on the things that will help us at all? Did

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Speaker 1: you not used to be a believer in sleep? You're

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Speaker 1: sort of like I just feel like this because of

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Speaker 1: other things. Maybe not because I only need five hours

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Speaker 1: of sleep or what was I would definitely have put

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Speaker 1: sleep under nutrition and under maybe even exercise, and now

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Speaker 1: I don't at all. You put it above or like

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Speaker 1: on the same put it above, And the simple way

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Speaker 1: to think about that is like, could you go without

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Speaker 1: two days of sleep, eating or exercise? Yeah, I would

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Speaker 1: be a wreck wreck. Yeah yeah, but yeah, like if

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Speaker 1: I just have to like get some work done, I'll

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Speaker 1: stay up to like three in the morning. Yeah. I

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Speaker 1: also wonder if it has something to do with like

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Speaker 1: the point at your life here in like I used

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Speaker 1: to be able to do all nighters and I no

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Speaker 1: longer can even remotely do an all nighters. Your sleep

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Speaker 1: gets worse as you get older, especially you're deep sleep

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Speaker 1: and your ram. Also, alcohol really messes up your sleep.

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Speaker 1: It's a bomber. Yeah, yeah, it makes it Like I

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Speaker 1: used to think that drinking made me sleep more soundly

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Speaker 1: because I could sleep for seventeen hours crappy sleep. That

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Speaker 1: same with like ambience, like you get more asleep, but

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Speaker 1: it's like kind of just light sleep. It's not that

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Speaker 1: right sort of Yeah, wait, so what what kind of

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Speaker 1: biohacking were you doing for your sleep? For the sleep part, Yeah,

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Speaker 1: you know, I would dim the lights in my house

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Speaker 1: at night. I would I would sleep in a colder place,

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Speaker 1: you know, keep my house colder. I would go to

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Speaker 1: sleep and wake up at the same time all seven

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Speaker 1: days a week. Were you doing it for a book

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Speaker 1: or it's probably an article for a medium? And what

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Speaker 1: was like the wildest thing you did for the bio

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Speaker 1: like that? That wasn't one of the basic like sleep,

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Speaker 1: you know, going to bed at the same time three

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Speaker 1: times a week before working out and got in a

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Speaker 1: cryo chamber which got down to like negative two something degrees.

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Speaker 1: How long did you How long did you stay in there?

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Speaker 1: Just three minutes? It seems that wasn't the craziest thing

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Speaker 1: I did. I'm trying to think of the craziest things

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Speaker 1: I did. This stuff called pemp which um, you lie

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Speaker 1: on a batter sitting a chair and they turned the

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Speaker 1: electricity off up and it like it feels like something

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Speaker 1: the shop around would have created, but it like sends

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Speaker 1: shocks throughout you. That's supposed to like go to where

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Speaker 1: you need your muscles need to be healed. Did that

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Speaker 1: work seemingly? Juries out definitely. Hurt has not come back yet.

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Speaker 1: Do you feel like the cryo thing helped, because I've

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Speaker 1: heard mixed things about that. You know, I'm not particularly

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Speaker 1: sensitive to my body. I didn't feel like it did anything. Yeah, Wow,

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Speaker 1: you gotta do this body hacking stuff. Yeah. Man was

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Speaker 1: the most sensitive to his body. Yeah. Yeah, like whenever

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Speaker 1: I feel that he's wearing comfy clothing. Yeah, it's I'm

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Speaker 1: sensitive my my feel what I'm wearing. Yeah, nothing less

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Speaker 1: than billowy fleece robes. And this is can you like

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Speaker 1: this is true about sounds and crowded environments and all

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Speaker 1: that kind of stuff. Yeaheah, I'm like hyper sensitive. I've

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Speaker 1: sent my son. Is that? Yeah? I wonder, I mean,

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Speaker 1: But then at the same time, I'm not necessarily like

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Speaker 1: a fitness person, so I don't know if I would

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Speaker 1: be like, oh, yeah, Man with the cryo ship, right,

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Speaker 1: I pushed out like eight more max reps on that ship.

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Speaker 1: He used all the terms. Yeah, I mean, you sound

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Speaker 1: like a fitness sound like Arnold I gotta I have

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Speaker 1: a lot of toxic friends. I gotta keep up. Pushed

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Speaker 1: out six more Max Rap, Bax wraps, you know what

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Speaker 1: I mean. So I'm gonna go cry oh in in

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Speaker 1: the bathroom, in the bathroom, my favorite special song. Yeah.

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Speaker 1: And finally, what is a myth? What something people think

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Speaker 1: is true? You know? To be Oh well, I run

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Speaker 1: in the pretty liberal crowd. And the myth that bothers

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Speaker 1: me the most is that Trump voters are ill informed

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Speaker 1: and voting against their own interests. And if we just

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Speaker 1: explain things to them, they'll change their mind right now.

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Speaker 1: But here's the deal. Your factory job is gone, your

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Speaker 1: Soy being tiriffs or hurting your Yeah, that's not gonna work. Yeah, yeah,

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Speaker 1: I think they know what they're doing. People vote altruistically, right.

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Speaker 1: Let's like, lots of really rich people who are liberals

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Speaker 1: will vote for higher taxes, and lots of farmers will

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Speaker 1: vote for Soy being tireffs because they've they're voting for

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Speaker 1: the what they think the country should be, which is

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Speaker 1: sticking it to the libs. And just like cultural stuff

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Speaker 1: like well why do you think when when because you

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Speaker 1: free your book, you went down to a town that

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Speaker 1: voted more uniformly for Trump than any other the county

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Speaker 1: of the high Trump voters in Texas and what like,

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Speaker 1: would you say that that was an experience that revealed

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Speaker 1: something to you about yeah, or what they're preserve. Yeah.

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Speaker 1: I think that there's a cosmopolitan elite that I'm very

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Speaker 1: proud to be part of. And the way that like

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Speaker 1: I connect to the globe and think about the world

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Speaker 1: is so dystopic to these people. Like when they think

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Speaker 1: about Los Angeles or any city, they think about homeless

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Speaker 1: people and people who don't know their neighbors, and people

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Speaker 1: are looking at their phone all day and only interested

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Speaker 1: in their status. Um, and they just they where's the lie.

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Speaker 1: They're not wrong, They're not wrong at all. But they

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Speaker 1: see that they see that is the future of the country,

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Speaker 1: and they want to stop that and restore it to

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Speaker 1: uh kind of a what you still probably see in

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Speaker 1: the shrinking rural parts of this country. And it's an

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Speaker 1: existential threat to them. And they do not like Donald Trump.

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Speaker 1: But they have said to me, like, if you have

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Speaker 1: a cockroach infestation and you hire an exterminator and he

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Speaker 1: has his butt crack showing and he's cursing, but he

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Speaker 1: gets the job done, you hire him. Yeah, right, yeah,

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Speaker 1: famously comparing the diverse pipe relation to cock Okay, yet

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Speaker 1: the roaches here one of the time. Yeah, there are

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Speaker 1: a couple of things said that I was like, oh, please,

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Speaker 1: don't make me write this in my bookcase. He seems

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Speaker 1: like such a nice people. All right, um, all right,

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Speaker 1: let's talk about Yeah, I'll be interested to hear your

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Speaker 1: your thoughts on the Flat Earth group. So I'm against them, Okay, Okay,

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Speaker 1: A man, I didn't see it coming. Huh uh. No,

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Speaker 1: So there mad Mike Cues, who was trying to prove

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Speaker 1: that the Earth was flat by going into space. There

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Speaker 1: it seems like there has to be an easier way

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Speaker 1: to do that. Every well, a lot of the other

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Speaker 1: experiments they try end up proving that the Earth is round,

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Speaker 1: and then they're like, well, nah, I can't be that

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Speaker 1: one then god Like in that Netflix documentary, famously, they

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Speaker 1: did an experiment where they were sending a laser across

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Speaker 1: like a distance that was just enough that you would

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Speaker 1: be able to detect the curvature of the Earth, and

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Speaker 1: sure enough that laser was pointing like at an angle

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Speaker 1: because of the curvature of the Earth and they're like,

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Speaker 1: nah man, this, um, this can't be it. Let's check

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Speaker 1: it again, and they're like, nah man, it's it's right,

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Speaker 1: and then they look back to the drawing board. So

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Speaker 1: I guess for mad Mike Hughes, he was like, I'm

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Speaker 1: going to make a steam powered rocket and go as

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Speaker 1: high as I can, and then I'll be able to

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Speaker 1: see from up there. That's the deal. I can see

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Speaker 1: the ice wall from here or whatever he believed he

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Speaker 1: would see from up there. Or he could just get

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Speaker 1: on one of those cruises that goes around the world. Well,

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Speaker 1: and those ones, there's other things about like those cruises

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Speaker 1: are ran by like you know, the global cabal of

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Speaker 1: like like firmament deniers who want you to believe that

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Speaker 1: the Earth is around. So like the cruise ships will

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Speaker 1: never actually get to a place where you would be

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Speaker 1: able to see what they believe is the edge of

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Speaker 1: the earth. How do they think you get back to

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Speaker 1: where you started? They turned around? They turned around. It

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Speaker 1: really is a country where people fly to. But but

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Speaker 1: it's a hoax. But it's a hoax with Australia. Australia

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Speaker 1: is not real Australia. You know, I spent a month

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Speaker 1: there and I think they may be right, seem a

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Speaker 1: little too close to the Western US the weird. It

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Speaker 1: just seemed like I hadn't gotten that far right. And

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Speaker 1: sometimes they would slip out of their accident just accidentally.

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Speaker 1: It was like a little too cowboys. This is fake guy.

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Speaker 1: Well the so this guy right, he took on Saturday,

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Speaker 1: he went up in his rocket. There's a video of it,

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Speaker 1: and it's just pretty sad, like it goes up. There

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Speaker 1: was supposed to be a shoot that deployed for him

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Speaker 1: to safely return, and the shoot just I think deployed incorrectly. No,

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Speaker 1: it deployed right away, like as it was taking off,

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Speaker 1: like the initial plume of whatever was propelling him upward

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Speaker 1: was like had a torn up parachute mixed in with it,

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Speaker 1: like as it cleared, and then it just came right

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Speaker 1: back down. And this sort of proves my theory that

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Speaker 1: rockets don't exist. There you go, they don't really work. Yeah. Yeah.

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Speaker 1: The thing was he was recording. He was doing a

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Speaker 1: new TEA V series called a Homemade Astronauts on what

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Speaker 1: in this article describes the U S Science Channel, which

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Speaker 1: isn't I don't know what that is. I think I

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Speaker 1: think they meant, because it's from the from the Independent

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Speaker 1: in the UK. The Science Channel here in the US,

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Speaker 1: is there a Science Church. Yeah, So what they said

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Speaker 1: in their statement is our thoughts and prayers go out

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Speaker 1: to his family and friends during this difficult time. It

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Speaker 1: was always his dream to do this launch, and Science

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Speaker 1: Channel was there to chronicle his journey. But that's tough.

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Speaker 1: I mean, the guy that's such a weird state, like

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Speaker 1: you were making a show. Is this like a real

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Speaker 1: channel that I'd get if I had a cable box? Yeah?

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Speaker 1: People really, And so they were okay with this. That's

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Speaker 1: not good. That's a weird statement to have. For we

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Speaker 1: we basically captured and our will probably be exploiting this

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Speaker 1: man's tragic death for our show, Homemade Astronauts. The idea

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Speaker 1: even the name is like Dangerous Knife Catchers Science Channel. Yeah,

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Speaker 1: check out the new spinoff Baby Knife. So yeah, that

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Speaker 1: is an interesting statement from them. But they have lots

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Speaker 1: of people die in reality TV shows like Ice Road

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Speaker 1: Truckers or like are people dying all? Remember on Deadliest Catch?

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Speaker 1: Very early on there was like someone passed away and

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Speaker 1: that was like big news. I think, so something like

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Speaker 1: on camera, I don't know, if he's on camera during production,

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Speaker 1: someone like one of the crew people I don't know crew,

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Speaker 1: but like or people on the boats did, but I

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Speaker 1: don't not that like I know that it's like a

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Speaker 1: dangerous path like that reality, I mean reality. Being on

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Speaker 1: the reality show ruins your life in another way, not

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Speaker 1: in a physical way, but it sometimes doesn't. Like I

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Speaker 1: tried out for the Real World London and I got

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Speaker 1: to the final like when they fly you New York

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Speaker 1: and interview you, and I've interviewed the guy who got

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Speaker 1: my place instead of me. It didn't affect his life

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Speaker 1: that much. Like no one remembers that he was on it. Yeah,

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Speaker 1: it rarely comes up. It's interesting that cast was a

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Speaker 1: little bit hard to remember when I think about it,

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Speaker 1: especially the guy who was kind of like me. Yeah,

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Speaker 1: I like okay, said, like I met the guy in

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Speaker 1: my mind, you've been You've been stalking him, just like, hey, motherfucker,

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Speaker 1: Like what did was he did he look like somewhat

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Speaker 1: similar to you? Was it? Were they like casting to

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Speaker 1: a type? Yes, they were casts. Did you guys get

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Speaker 1: along really famously? I never I only called him recently

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Speaker 1: for something I was working on, So I never never

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Speaker 1: met him. So he was like, he's a playwright, and yeah,

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Speaker 1: they cast him instead of me because John Murray, when

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Speaker 1: I reviewed him, later told me that he was afraid

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Speaker 1: I'd never get laid. Did he really? Wow? Correct? Even

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Speaker 1: with the help of a TV show, which one was it?

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Speaker 1: It was the Real World London? No, but which guy

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Speaker 1: on the cast was this? Oh I'm bla his name?

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Speaker 1: That's see this proves my point. Mike J Neil j

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Speaker 1: J name Jay Frank from Portland origin. That's a guy, Okay, fantastic. Yeah,

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Speaker 1: this was a when I looked through him like, I

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Speaker 1: don't really remember me any of the people from this

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Speaker 1: I remember just sinda. Yeah, didn't somebody get their tongue

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Speaker 1: almost bitten off in Real World London? Thinking about a

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Speaker 1: different one Forrester Forrester making out with someone. Think The

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Speaker 1: most notable event of the season occurs when a cast

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Speaker 1: member and when cast member and singer Neil Forrester kisses

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Speaker 1: a male heckler during a performance, who then bites the

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Speaker 1: tip of Forrester's tongue off. Yeah, I remember that being Wait,

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Speaker 1: so he forced a kiss on a Heckler and the

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Speaker 1: off Yeah, that's how we was gonna happen there. It

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Speaker 1: was there, it was there, it was I was just

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Speaker 1: it would be so interesting if you went and like

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Speaker 1: looked at this person's life and it was like one

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Speaker 1: of those longitudinal studies of identical twins where it's like

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Speaker 1: they have like all the same things, like all the

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Speaker 1: same interests. Like it's like I have three kids and

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Speaker 1: their names are the same as your kids names too.

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Speaker 1: If if real world casting was like that. But you know,

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Speaker 1: I think this is I think my theory with the

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Speaker 1: real world not ruining your life is I feel like

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Speaker 1: those early people, like the first five seasons, they got

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Speaker 1: away pretty scott free somewhere between a social experiment Miami

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Speaker 1: around the Miami cast, I felt like the temperature started

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Speaker 1: to get turned up on the real world, where we

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Speaker 1: saw like a lot more like interesting, darker ship going on.

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Speaker 1: Her characters were a little bit more so you think

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Speaker 1: I did their lives more. They were just already messed up,

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Speaker 1: And I'm curious about like Ruthie from Hawaii, who like

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Speaker 1: had it was like struggling with her drinking on the show,

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Speaker 1: and even remember afterwards people saying like that lifestyle was

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Speaker 1: only contributing worse to her alcoholism. Well, I think she

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Speaker 1: started drinking a lot more on the on the show.

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Speaker 1: I don't know, like there was actual I remember the

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Speaker 1: first season there was an actual boredom where they were

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Speaker 1: like sitting around, like shooting pool and being like, there's

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Speaker 1: really nothing to do because they don't let you watch TV.

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Speaker 1: So they're like, something's going to happen because you're not

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Speaker 1: allowed to watch TV. You're not allowed to do anything

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Speaker 1: besides interact with each other. And so I think what

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Speaker 1: a lot of our instincts are when we're you know,

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Speaker 1: forced to be in socially uncomfortable situations, is to drink.

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Speaker 1: And if they just provide you with a place and

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Speaker 1: an environment to drink, and maybe maybe it's not the best.

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Speaker 1: I mean, I think Ruthie is doing well because she's posting,

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Speaker 1: you know, really great travel picks. Yeah, she's definitely been

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Speaker 1: to majorca in Spain. That seems right. Yeah, alright, let's

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Speaker 1: take a quick break. We'll be right back, and we're back.

407
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Speaker 1: And Harvey Weinstein was found partially guilty, guilty, definitely convicted,

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Speaker 1: but a couple of the charges that would have put

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Speaker 1: him in jail for up to life did not. He

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Speaker 1: was not found guilty of that life for Harvey weinsty

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Speaker 1: at this point. Right. Well, so that's the thing is

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Speaker 1: as of now, it's between fifty or five and thirty

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Speaker 1: years and you know he's what sixty sixty seven, So

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Speaker 1: I mean if it's towards healthy, right, yeah, that's also

415
00:23:10,560 --> 00:23:14,720
Speaker 1: a good point. Uh not looking great. Um, And they

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Speaker 1: took him straight to jail. His attorney was like, well, let's,

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Speaker 1: you know, leave him out while he waits he waits sentencing,

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Speaker 1: and they were not having that. The judge, you know,

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Speaker 1: send him to jail right away, which is right. Yeah.

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Speaker 1: So I mean we're talking in past episodes that legal

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Speaker 1: scholars were saying that it, you know, this was a

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Speaker 1: daring case for the prosecution to bring because it relied

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Speaker 1: on a lot of different like factors and you know

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Speaker 1: things that uh wouldn't normally get prosecuted in court, just

425
00:23:49,960 --> 00:23:54,720
Speaker 1: because of how these sorts of cases usually go. And

426
00:23:55,200 --> 00:23:57,560
Speaker 1: so I think this has to be you know seen

427
00:23:57,680 --> 00:24:01,239
Speaker 1: generally is just a win and shouts out to the

428
00:24:01,480 --> 00:24:05,000
Speaker 1: to the women. Definitely a landmark stepped forward case. Yeah.

429
00:24:05,080 --> 00:24:07,480
Speaker 1: And it's especially I mean his defense was sort of

430
00:24:07,560 --> 00:24:09,240
Speaker 1: just sort of like this. I mean, some of these

431
00:24:09,240 --> 00:24:12,240
Speaker 1: women were using him actually right, So yeah, like you

432
00:24:12,240 --> 00:24:15,560
Speaker 1: can tell when you've sort of getting these why a

433
00:24:15,600 --> 00:24:18,800
Speaker 1: lot of these uh sort of cases are harder to prosecute,

434
00:24:19,080 --> 00:24:21,400
Speaker 1: especially when you have someone who like has a high

435
00:24:21,400 --> 00:24:23,720
Speaker 1: powered lawyers who are able to be a slippery is Like, no,

436
00:24:23,880 --> 00:24:25,840
Speaker 1: he was one being used your honor and everything was

437
00:24:25,880 --> 00:24:27,880
Speaker 1: consensual and if they didn't like it, then why would

438
00:24:27,880 --> 00:24:29,760
Speaker 1: they keep talking to him? And then just sort of

439
00:24:29,880 --> 00:24:33,760
Speaker 1: narrowly just defended on that on those grounds, But yeah, um,

440
00:24:34,200 --> 00:24:37,360
Speaker 1: he will, I guess. So it's up to twenty five.

441
00:24:37,400 --> 00:24:43,119
Speaker 1: You said thirty five to up to thirty, so I

442
00:24:43,119 --> 00:24:48,240
Speaker 1: mean the low end is inexcusable. But there's also a

443
00:24:48,320 --> 00:24:51,600
Speaker 1: case that's coming up in l A that might add

444
00:24:51,640 --> 00:24:55,440
Speaker 1: time onto that. So we'll see how that goes. All right.

445
00:24:55,720 --> 00:25:02,199
Speaker 1: In the Democratic primary, Bernie Sanders, hey his definitely his

446
00:25:02,280 --> 00:25:06,960
Speaker 1: most convincing win yet in this Democratic primary in Nevada.

447
00:25:07,560 --> 00:25:13,520
Speaker 1: People are saying that Nevada's demographically looks a lot like

448
00:25:13,680 --> 00:25:17,479
Speaker 1: the country in terms of diversity, and a lot of

449
00:25:17,720 --> 00:25:21,640
Speaker 1: Democratic strategists are now you can kind of feel them

450
00:25:21,760 --> 00:25:24,520
Speaker 1: getting their mind around the fact that like this might

451
00:25:25,160 --> 00:25:29,400
Speaker 1: be the guy. Yeah, it's a it's the first time

452
00:25:29,480 --> 00:25:32,520
Speaker 1: someone had the popular vote in the first three yearly

453
00:25:32,560 --> 00:25:35,520
Speaker 1: state primaries too, I think. Yeah, I went to the

454
00:25:35,560 --> 00:25:39,920
Speaker 1: caucuses one year, I think the first year, the Nevada caucuses. Yeah,

455
00:25:40,040 --> 00:25:44,000
Speaker 1: I went to the Bellaggio. Yeah, and uh, it's supposed

456
00:25:44,000 --> 00:25:46,720
Speaker 1: to be this caucus like Iowa where people discussed and

457
00:25:46,760 --> 00:25:48,760
Speaker 1: they go to different parts of the room. I walked

458
00:25:48,800 --> 00:25:52,199
Speaker 1: into the this big ballroom and Hillary Clinton had just

459
00:25:52,240 --> 00:25:56,080
Speaker 1: walked by me. It was Clinton versus Obama, and uh,

460
00:25:56,320 --> 00:25:58,560
Speaker 1: she had walked by me. And then suddenly I asked

461
00:25:58,600 --> 00:26:00,200
Speaker 1: her a question, and the pruss showed up and show

462
00:26:00,240 --> 00:26:03,520
Speaker 1: up in this ballroom and everyone's wearing their union shirts

463
00:26:03,640 --> 00:26:06,440
Speaker 1: and the this union leader gets on stage and he's

464
00:26:06,480 --> 00:26:11,000
Speaker 1: like everyone for Hillary, and everyone raised their hand and

465
00:26:11,040 --> 00:26:14,399
Speaker 1: he's like, great, We're done. It's like five seconds the

466
00:26:14,440 --> 00:26:17,000
Speaker 1: whole thing last ding. That was. That's the first time

467
00:26:17,040 --> 00:26:19,000
Speaker 1: I was like, unions are way more powerful than I thought,

468
00:26:19,000 --> 00:26:22,399
Speaker 1: and Bernie didn't have their support and he killed nevertheless. Yeah,

469
00:26:22,480 --> 00:26:25,679
Speaker 1: that that was I think surprised some people, although I

470
00:26:25,680 --> 00:26:29,800
Speaker 1: think heading into the weekend people were starting to get

471
00:26:29,800 --> 00:26:31,399
Speaker 1: a sense that he was going to run away with it.

472
00:26:31,440 --> 00:26:36,560
Speaker 1: But at first, when the Culinary Culinary Union when went

473
00:26:36,600 --> 00:26:41,359
Speaker 1: against him, people were starting to think that he might

474
00:26:41,400 --> 00:26:44,040
Speaker 1: be in trouble or that Elizabeth Warren might be able

475
00:26:44,080 --> 00:26:48,920
Speaker 1: to use some of the momentum from uh, just murdering

476
00:26:49,400 --> 00:26:53,000
Speaker 1: Bloomberg on the last debate. Uh. And that's the thing

477
00:26:53,040 --> 00:26:56,800
Speaker 1: about murdering someone in a debate, or it's like or

478
00:26:57,160 --> 00:27:00,560
Speaker 1: Pete and Amy Klobuchar, it's a murder suicide pack, like

479
00:27:00,680 --> 00:27:03,159
Speaker 1: everyone hates you for doing it and you destroy the

480
00:27:03,200 --> 00:27:06,000
Speaker 1: other person. Well, I think maybe for the Pete and

481
00:27:06,040 --> 00:27:07,879
Speaker 1: Amy one, but I think that one seemed like it

482
00:27:07,960 --> 00:27:12,879
Speaker 1: was just they couldn't help themselves pee. A lot of

483
00:27:12,920 --> 00:27:15,320
Speaker 1: the tweets that were funnier were being like I was

484
00:27:15,359 --> 00:27:20,280
Speaker 1: like they were definitely in a relationship. We revealed it

485
00:27:20,359 --> 00:27:23,280
Speaker 1: right there right. Um. Yeah. And I think just even

486
00:27:23,280 --> 00:27:25,719
Speaker 1: with like the whole as you were saying, like, as

487
00:27:25,840 --> 00:27:27,960
Speaker 1: the results were coming in and even at like six,

488
00:27:28,560 --> 00:27:32,040
Speaker 1: like it became clear what the outcomes were. Uh. Chris

489
00:27:32,080 --> 00:27:35,840
Speaker 1: Matthews again had to go on I guess magine no

490
00:27:36,080 --> 00:27:41,080
Speaker 1: line comparison of the Germans breaching like with like comparing

491
00:27:41,119 --> 00:27:43,640
Speaker 1: this campaign to that, and again if people like here

492
00:27:43,680 --> 00:27:47,840
Speaker 1: we go, what's what's he up to now? Uh? And Yeah,

493
00:27:47,840 --> 00:27:50,800
Speaker 1: a lot of people have been like resigned to apologize

494
00:27:50,840 --> 00:27:53,600
Speaker 1: to Holy sh it, what the funk was that? Do

495
00:27:53,640 --> 00:27:55,720
Speaker 1: we think he's doing this on purpose at this point?

496
00:27:55,920 --> 00:27:59,320
Speaker 1: I think he. I think he believed his sentiment around

497
00:28:00,119 --> 00:28:03,040
Speaker 1: emerging what he in his mind. He's labeled like capital

498
00:28:03,080 --> 00:28:07,040
Speaker 1: as socialist is like genuinely frightening to him as like

499
00:28:07,080 --> 00:28:10,680
Speaker 1: a person, because I've never seen him go completely like

500
00:28:10,680 --> 00:28:13,359
Speaker 1: like viscerally like and you never know what's next, like

501
00:28:13,520 --> 00:28:17,240
Speaker 1: beheadings in Central Park. It's like, really, that's an out

502
00:28:17,320 --> 00:28:22,280
Speaker 1: loud thing. Yeah, he definitely seems shaky when he's doing it. Yeah, well,

503
00:28:22,320 --> 00:28:25,280
Speaker 1: I don't follow Chris Matthews. Chris Matthews from Hardball. Yeah no,

504
00:28:25,359 --> 00:28:28,200
Speaker 1: I know, I've been on Hardball. And but he is

505
00:28:28,480 --> 00:28:31,119
Speaker 1: anti Bernie because he thinks Bernie will lose the nomination

506
00:28:31,200 --> 00:28:33,480
Speaker 1: or he just hates Bernie. He's afraid of Bernie's a president.

507
00:28:33,480 --> 00:28:35,360
Speaker 1: He's afraid of Bernie's not the thing. The last two

508
00:28:35,359 --> 00:28:38,040
Speaker 1: things that have gotten him hot water have been comparisons

509
00:28:38,160 --> 00:28:41,479
Speaker 1: to like some that there will be public executions as

510
00:28:41,480 --> 00:28:45,240
Speaker 1: a result of socialism. Literally. Yeah, well, he said that

511
00:28:45,320 --> 00:28:47,800
Speaker 1: he remembers a time from the Cold War like he's

512
00:28:47,840 --> 00:28:49,760
Speaker 1: like saying it in this way like I remember a

513
00:28:49,840 --> 00:28:52,720
Speaker 1: time when we were afraid of socialism, and I thought

514
00:28:52,800 --> 00:28:55,240
Speaker 1: that maybe there would be you know, a socialist would

515
00:28:55,240 --> 00:28:57,880
Speaker 1: win and there will be people marching into Central Park

516
00:28:57,960 --> 00:29:01,240
Speaker 1: and exsassinated. And then Chris Hayes was like, wait, but

517
00:29:01,440 --> 00:29:04,920
Speaker 1: he hasn't said anything remotely close like relating to that,

518
00:29:04,960 --> 00:29:06,520
Speaker 1: and he goes, I don't know, but has he We

519
00:29:06,560 --> 00:29:10,400
Speaker 1: don't know. It was like yeah, but Chris Hayes tried

520
00:29:10,440 --> 00:29:12,880
Speaker 1: to give him like, hey, you want to readjust there

521
00:29:13,160 --> 00:29:15,320
Speaker 1: and he didn't. And then again when when it became

522
00:29:15,360 --> 00:29:16,960
Speaker 1: clear that he wanted it was like yeah, and he's like,

523
00:29:17,000 --> 00:29:20,160
Speaker 1: I remember, you know when Churchill got the call that

524
00:29:20,200 --> 00:29:24,280
Speaker 1: they've broken through. Yeah, and it was just like whoa, Okay.

525
00:29:24,720 --> 00:29:27,239
Speaker 1: It is interesting to see MSNBC because I mean, I

526
00:29:27,280 --> 00:29:31,800
Speaker 1: think people, if people have a general like left right dichotomy,

527
00:29:31,960 --> 00:29:35,440
Speaker 1: MSNBC is the left to Fox News is right. But

528
00:29:35,600 --> 00:29:38,320
Speaker 1: MSNBC seems to be having the hardest time dealing with

529
00:29:38,400 --> 00:29:41,920
Speaker 1: this leftist candidate. Really yeah, yeah, it's like a lot

530
00:29:41,960 --> 00:29:45,880
Speaker 1: of I mean Chris Jansen, who's another one of their

531
00:29:46,320 --> 00:29:50,680
Speaker 1: anchors or correspondence, she was in Vegas during the UH

532
00:29:50,720 --> 00:29:54,000
Speaker 1: caucuses in Nevada, and at one point she was like, yep,

533
00:29:54,120 --> 00:29:58,480
Speaker 1: and we're looking in here. When you look in the room, Uh,

534
00:29:58,560 --> 00:30:01,680
Speaker 1: it's yeah, it's it's pretty clear or that, especially with

535
00:30:01,720 --> 00:30:04,040
Speaker 1: some of these Latino voters. There's a lot of support

536
00:30:04,160 --> 00:30:09,959
Speaker 1: for Bernie Sanders like side like it was weird, like

537
00:30:10,000 --> 00:30:12,800
Speaker 1: it was I don't know. And again, I think because

538
00:30:12,840 --> 00:30:17,840
Speaker 1: they've been really between like who's a Chuck Todd even

539
00:30:17,880 --> 00:30:20,800
Speaker 1: with his like digital brown shirts comment that he made,

540
00:30:20,920 --> 00:30:24,040
Speaker 1: there's been a lot where people have just been kind

541
00:30:24,040 --> 00:30:27,240
Speaker 1: of noticing how they're very focused on sort of pointing

542
00:30:27,240 --> 00:30:30,239
Speaker 1: out whatever the absolute bad ship is or how can

543
00:30:30,280 --> 00:30:33,480
Speaker 1: they like vilify versus being like that's why there's also

544
00:30:33,520 --> 00:30:35,720
Speaker 1: a lot of opinion pieces coming out to from other

545
00:30:35,760 --> 00:30:38,719
Speaker 1: political writers who are sort of like, okay, so that

546
00:30:38,800 --> 00:30:41,960
Speaker 1: was unequivocal like what happened in Nevada, Like people need

547
00:30:42,000 --> 00:30:44,960
Speaker 1: to actually begin figuring out what they're going to do here,

548
00:30:45,040 --> 00:30:47,360
Speaker 1: because like just sort sort of like dragging your feet

549
00:30:47,400 --> 00:30:50,000
Speaker 1: about this is not going to help if you're truly about,

550
00:30:50,240 --> 00:30:52,800
Speaker 1: if you're even narrowly about, we have to defeat Trump.

551
00:30:53,240 --> 00:30:55,200
Speaker 1: So what is it going to be? Yeah, And I

552
00:30:55,200 --> 00:30:59,840
Speaker 1: mean it's you know, when Trump was sort of sir

553
00:31:00,120 --> 00:31:03,920
Speaker 1: Jang through the Republican primaries. I think Fox News initially

554
00:31:04,040 --> 00:31:08,400
Speaker 1: had sort of a partially uh, you know, never Trumper

555
00:31:08,680 --> 00:31:11,280
Speaker 1: stance where they were like, well, is this guy really good?

556
00:31:11,480 --> 00:31:14,720
Speaker 1: And you know that was probably born out of Fox

557
00:31:14,760 --> 00:31:19,640
Speaker 1: News being more closely alligned with the Republican Party than

558
00:31:19,760 --> 00:31:22,520
Speaker 1: they were with anybody, and Trump's were a bitten. Then

559
00:31:22,960 --> 00:31:27,240
Speaker 1: once Trump became the official, you know, Republican nominee, it's

560
00:31:27,280 --> 00:31:32,560
Speaker 1: just interesting because Trump, you know, just went went into

561
00:31:32,600 --> 00:31:35,120
Speaker 1: that role and became like the party guy and just

562
00:31:35,280 --> 00:31:37,360
Speaker 1: he didn't change really what he was doing, but the

563
00:31:37,400 --> 00:31:41,000
Speaker 1: party I guess changed to meet him there. I don't know,

564
00:31:41,680 --> 00:31:44,200
Speaker 1: you never a party guy. I mean he was always

565
00:31:44,280 --> 00:31:49,000
Speaker 1: railing against w Yeah. I guess the party just adopted

566
00:31:49,080 --> 00:31:54,160
Speaker 1: him as their guy. The voters did, yeah, right after

567
00:31:54,320 --> 00:31:57,240
Speaker 1: after the voters, Yeah, yeah, I guess that's right. I

568
00:31:57,560 --> 00:32:01,120
Speaker 1: feel like it was the the RNC is when you know,

569
00:32:01,240 --> 00:32:05,320
Speaker 1: you started having the Republican Party just kind of coming

570
00:32:05,360 --> 00:32:08,000
Speaker 1: around and being like, well, he's our guy, we gotta

571
00:32:08,040 --> 00:32:10,360
Speaker 1: go with it, and telling Ted Cruz to funk off

572
00:32:10,400 --> 00:32:15,560
Speaker 1: for not coming around. So, I don't know, it's very interesting.

573
00:32:16,480 --> 00:32:20,440
Speaker 1: I And then I mean the we're we're recording this

574
00:32:20,520 --> 00:32:25,160
Speaker 1: Monday morning, and the Dow Jones is in kind of

575
00:32:25,160 --> 00:32:32,920
Speaker 1: a downward spiral. It's really think of think of the people,

576
00:32:33,080 --> 00:32:39,080
Speaker 1: think of the portfolio, the portfolio. But I I do

577
00:32:39,200 --> 00:32:42,600
Speaker 1: wonder like if this is connected. I mean the like

578
00:32:42,640 --> 00:32:47,480
Speaker 1: Trump got in, he gave the gave companies a huge

579
00:32:47,600 --> 00:32:51,880
Speaker 1: tax break, Like is you know Bernie would presumably do

580
00:32:52,040 --> 00:32:55,280
Speaker 1: something not I think this is pretty coronavirus Really, you

581
00:32:55,280 --> 00:32:58,560
Speaker 1: think this is coronavirus related. I think people have issued

582
00:32:58,640 --> 00:33:02,520
Speaker 1: some reports of their bosses and people are freaking out. Yeah,

583
00:33:02,560 --> 00:33:04,960
Speaker 1: that makes sense because it's it's not just our stock market,

584
00:33:05,000 --> 00:33:07,040
Speaker 1: although of course our president affects all the stock markets.

585
00:33:07,040 --> 00:33:10,920
Speaker 1: But because like Fox News is like, I don't know,

586
00:33:11,000 --> 00:33:13,000
Speaker 1: is it Bernie, I don't know, I don't know where

587
00:33:13,000 --> 00:33:16,240
Speaker 1: they Yeah, yeah, that was like on Fox Business because

588
00:33:16,280 --> 00:33:18,480
Speaker 1: I'm sure again they know what the economy being like

589
00:33:18,520 --> 00:33:20,840
Speaker 1: the only argument that Trump could have were like on

590
00:33:20,920 --> 00:33:23,680
Speaker 1: paper like yeah, I guess that's not in technically negative

591
00:33:23,880 --> 00:33:27,040
Speaker 1: space like that that's what they can hold on to.

592
00:33:27,240 --> 00:33:29,040
Speaker 1: But yeah, I mean also too, when you think about

593
00:33:29,080 --> 00:33:31,560
Speaker 1: the amount of I was talking to a couple of

594
00:33:31,560 --> 00:33:34,720
Speaker 1: people I know who work at a pretty large multinational

595
00:33:34,880 --> 00:33:39,480
Speaker 1: like garment company, and there their companies and utter chaos,

596
00:33:39,560 --> 00:33:43,680
Speaker 1: right because of like coronavirus. Yeah, the all the distribution

597
00:33:43,800 --> 00:33:46,360
Speaker 1: chains are like messed up. They have people stationed all

598
00:33:46,400 --> 00:33:48,440
Speaker 1: over the world who are also like trying to be

599
00:33:48,480 --> 00:33:49,960
Speaker 1: like I don't want to be here, I want to

600
00:33:49,960 --> 00:33:52,600
Speaker 1: come back there. There's a lot. But can we blame

601
00:33:52,840 --> 00:33:57,120
Speaker 1: Bernie for the coronavirus? Yeah, yeah, that's the question we

602
00:33:56,280 --> 00:34:02,480
Speaker 1: well know. But Bernie can blame the globalization. Both he

603
00:34:02,560 --> 00:34:05,000
Speaker 1: and Trump can both blame globalization and that we've become

604
00:34:05,040 --> 00:34:07,680
Speaker 1: so dependent on each other that we can't function as

605
00:34:07,680 --> 00:34:10,440
Speaker 1: soon as one, as soon as China fails like that,

606
00:34:10,520 --> 00:34:12,600
Speaker 1: we we we have to become more self sufficient. I

607
00:34:12,600 --> 00:34:15,680
Speaker 1: mean they're both in that way against trade, against TPP,

608
00:34:15,760 --> 00:34:20,120
Speaker 1: against NAFTA, against globalization. So um, I mean that's where

609
00:34:20,120 --> 00:34:23,719
Speaker 1: I get upset as the pro elitist, is that you

610
00:34:23,920 --> 00:34:29,200
Speaker 1: think that globalization is I mean just from a like

611
00:34:29,560 --> 00:34:34,000
Speaker 1: sort of politically like a strategic perspective. Do you think

612
00:34:34,080 --> 00:34:39,280
Speaker 1: that Sanders has the best shot of winning against Trump

613
00:34:39,400 --> 00:34:42,080
Speaker 1: or do you think no? No, I mean I don't know,

614
00:34:42,160 --> 00:34:43,800
Speaker 1: I mean, I don't know anything. I'm not going to predict.

615
00:34:44,440 --> 00:34:46,239
Speaker 1: I'm not in that business. I'm barely trying to figure

616
00:34:46,239 --> 00:34:49,760
Speaker 1: out what happened like four years ago. But I would

617
00:34:49,880 --> 00:34:54,000
Speaker 1: say from looking at Jeremy Corbyn getting trounced by the

618
00:34:54,000 --> 00:34:57,799
Speaker 1: the hated Boris Johnson, who that's one factor. And I

619
00:34:57,800 --> 00:35:01,360
Speaker 1: think the two thousand eighteen election where the important Purple

620
00:35:01,400 --> 00:35:05,400
Speaker 1: states were won by very conservative Democrats, and just how

621
00:35:05,520 --> 00:35:09,400
Speaker 1: much Americans have freaked out by the word and notion

622
00:35:09,440 --> 00:35:13,120
Speaker 1: of socialism in any form, not Democrats, but like Independence,

623
00:35:14,480 --> 00:35:17,279
Speaker 1: especially low information voter. I don't know if it's a

624
00:35:17,320 --> 00:35:20,360
Speaker 1: one to one comparison to Corbin between like their perception

625
00:35:20,440 --> 00:35:22,920
Speaker 1: within the country and sort of their base, but I

626
00:35:22,960 --> 00:35:26,439
Speaker 1: think to the point pretty close, it's like some very

627
00:35:26,480 --> 00:35:28,960
Speaker 1: liberal backbencher who had been around for a long time

628
00:35:29,040 --> 00:35:31,160
Speaker 1: kind of yeah. But I think there's this. I think

629
00:35:31,200 --> 00:35:35,000
Speaker 1: there's a lot more the people who at least from

630
00:35:35,000 --> 00:35:36,719
Speaker 1: looking at a lot of like the people who are

631
00:35:36,800 --> 00:35:38,960
Speaker 1: voting in Nevada to like the amount of people who

632
00:35:39,000 --> 00:35:42,200
Speaker 1: even identified as conservatives and Independence who he got. I

633
00:35:42,280 --> 00:35:44,479
Speaker 1: was I was really surprised by that because I wasn't sure.

634
00:35:44,600 --> 00:35:46,440
Speaker 1: I was curious to see what that sort of Sliver

635
00:35:46,600 --> 00:35:51,480
Speaker 1: became um but yeah, there I think with a lot

636
00:35:51,480 --> 00:35:53,680
Speaker 1: of the strategies at they're pointing, especially like with their

637
00:35:53,680 --> 00:35:56,799
Speaker 1: ground game is very different in trying to reach as

638
00:35:56,800 --> 00:35:59,759
Speaker 1: many people. So it's gonna be it'll be interesting to

639
00:35:59,800 --> 00:36:02,759
Speaker 1: see how it works. I'm less afraid of the sort

640
00:36:02,800 --> 00:36:06,480
Speaker 1: of like McGovern effect thing that many people are talking about,

641
00:36:06,880 --> 00:36:09,040
Speaker 1: because at the end of the day, I think the

642
00:36:09,040 --> 00:36:11,600
Speaker 1: people who are scared of the sort of socialism tag

643
00:36:11,719 --> 00:36:14,600
Speaker 1: tend to be the older voters because that's where you

644
00:36:14,600 --> 00:36:17,319
Speaker 1: see like over sixty five, like he's underwater, like no

645
00:36:17,360 --> 00:36:21,160
Speaker 1: one is even getting near him, but vote yeah, And

646
00:36:21,200 --> 00:36:24,719
Speaker 1: I think that's where that's Those are the dynamics though

647
00:36:24,760 --> 00:36:27,160
Speaker 1: at play though too, because now you have a generation

648
00:36:27,239 --> 00:36:29,839
Speaker 1: where like for me as a millennial, like I grew

649
00:36:29,920 --> 00:36:32,759
Speaker 1: up seeing gen xers and boomers be like, oh cool,

650
00:36:32,840 --> 00:36:34,400
Speaker 1: you go to college and like you can own a

651
00:36:34,400 --> 00:36:37,400
Speaker 1: fucking house, and then I'm like, what the funk happened?

652
00:36:37,400 --> 00:36:39,560
Speaker 1: Like when I got out in two thousand seven, I'm like,

653
00:36:39,760 --> 00:36:43,080
Speaker 1: the opportunities are completely different. Yet I'm looking for an

654
00:36:43,080 --> 00:36:46,760
Speaker 1: explanation as to how I can prosper in a similar way,

655
00:36:46,880 --> 00:36:49,520
Speaker 1: and I'm unwilling to accept sort of like, I don't know, man,

656
00:36:49,560 --> 00:36:51,439
Speaker 1: we gotta like there are other ways to figure it out.

657
00:36:51,480 --> 00:36:54,520
Speaker 1: But you moved to Los Angeles. You're not in Pennsylvania.

658
00:36:54,560 --> 00:36:59,000
Speaker 1: Was yeah, but you're in Los Angeles, not in Wisconsin. Pennsylvania. Absolutely,

659
00:36:59,000 --> 00:37:01,120
Speaker 1: And I think and I think the but the I think.

660
00:37:01,160 --> 00:37:03,120
Speaker 1: But the reason why it's catching on though is maybe

661
00:37:03,160 --> 00:37:05,080
Speaker 1: people not might not be able to articulate in the

662
00:37:05,120 --> 00:37:07,640
Speaker 1: exact same way, but there is a feeling of like

663
00:37:08,480 --> 00:37:11,719
Speaker 1: I think it's supposed to be different than this. I

664
00:37:11,800 --> 00:37:14,719
Speaker 1: just feel that those people who feel that way in

665
00:37:14,800 --> 00:37:18,279
Speaker 1: election after election around the world seem to vote for

666
00:37:18,360 --> 00:37:22,720
Speaker 1: like the far right autocrat, like whether it's Australia or England,

667
00:37:22,719 --> 00:37:24,479
Speaker 1: Like I haven't seen a place where the far left

668
00:37:24,480 --> 00:37:27,239
Speaker 1: guy beats the far right guy. Well, I think it'll be.

669
00:37:27,400 --> 00:37:30,520
Speaker 1: It's it'll be it'll be an experiment because if that happens,

670
00:37:30,600 --> 00:37:34,080
Speaker 1: we don't want an experiment, I think, because you know,

671
00:37:34,160 --> 00:37:36,960
Speaker 1: but when we run like sort of through the middle candidates,

672
00:37:37,080 --> 00:37:40,200
Speaker 1: it doesn't it's been not great, Like it seems like

673
00:37:40,239 --> 00:37:43,800
Speaker 1: the energy that people have at least going into an election,

674
00:37:43,840 --> 00:37:46,120
Speaker 1: or at least a change election would be something that's

675
00:37:46,120 --> 00:37:48,720
Speaker 1: a little bit that offers a bit of a different

676
00:37:48,840 --> 00:37:51,360
Speaker 1: vision than what the sort of doubt straight up the

677
00:37:51,360 --> 00:37:55,800
Speaker 1: middle John Kerry, Hillary Clinton sort of yeah, and you know,

678
00:37:55,920 --> 00:38:00,799
Speaker 1: like Obama had had the allure of a aggressive but

679
00:38:00,880 --> 00:38:03,680
Speaker 1: then had to tack back to center. My suspicion is

680
00:38:03,719 --> 00:38:08,640
Speaker 1: that America after the economic crisis, it was like a

681
00:38:08,680 --> 00:38:11,520
Speaker 1: lot of people became certain like the fixes in because

682
00:38:11,719 --> 00:38:15,080
Speaker 1: we had Obama running as the crisis was unfolding. He

683
00:38:15,160 --> 00:38:18,160
Speaker 1: was kind of, uh, going out there with more of

684
00:38:18,200 --> 00:38:22,600
Speaker 1: a socialist message of you know, leaning socialists, not like

685
00:38:22,680 --> 00:38:24,759
Speaker 1: I'm going to forgive the banks. It was like, you know,

686
00:38:24,800 --> 00:38:27,359
Speaker 1: I'm a man of the people. And then once he

687
00:38:28,000 --> 00:38:30,840
Speaker 1: got into office, he just like kind of acquiesced to

688
00:38:31,640 --> 00:38:36,560
Speaker 1: what the kind of financial interests wanted. And I just

689
00:38:36,640 --> 00:38:39,120
Speaker 1: think that there are people who are like, there's this narrative,

690
00:38:39,280 --> 00:38:42,719
Speaker 1: like the mainstream media narrative that's out there, and the

691
00:38:42,760 --> 00:38:45,879
Speaker 1: Democratic Party is part of that, and like the never

692
00:38:45,960 --> 00:38:49,239
Speaker 1: Trumper Republicans are part of that, and I just don't

693
00:38:49,239 --> 00:38:51,480
Speaker 1: trust it anymore. And I think that's where like a

694
00:38:51,480 --> 00:38:55,040
Speaker 1: lot of the populist energy is coming from, is that

695
00:38:55,080 --> 00:38:59,000
Speaker 1: there was this financial crisis that never really got properly

696
00:39:00,040 --> 00:39:01,560
Speaker 1: like it was just sort of yeah, yeah, we just

697
00:39:01,880 --> 00:39:04,560
Speaker 1: I think that's all hard sell to most Americans in

698
00:39:04,600 --> 00:39:07,680
Speaker 1: a booming economy. It's ten it's twelve years ago. I

699
00:39:07,719 --> 00:39:10,520
Speaker 1: just don't know what's a booming economy to somebody in

700
00:39:10,560 --> 00:39:14,120
Speaker 1: a state like Wisconsin or Pennsylvania who can't support, like

701
00:39:14,200 --> 00:39:16,560
Speaker 1: even like to be a single parent, and you can't

702
00:39:16,560 --> 00:39:18,960
Speaker 1: do it with one job. But I don't think it's

703
00:39:19,000 --> 00:39:22,080
Speaker 1: been a reality for thirty years. Yeah, but I think

704
00:39:22,080 --> 00:39:24,120
Speaker 1: that's why. That's why I think we're reaching a tipping

705
00:39:24,160 --> 00:39:27,680
Speaker 1: point where now it was easy to sort of rhetorically

706
00:39:27,840 --> 00:39:30,759
Speaker 1: or like use different kinds of political you know, rhetorical

707
00:39:30,840 --> 00:39:33,960
Speaker 1: things to distract people from that Versus now I be like, well,

708
00:39:34,000 --> 00:39:36,040
Speaker 1: know what the funk is going on? I think the

709
00:39:36,080 --> 00:39:40,719
Speaker 1: revolution that's happening in India, Europe here is not an

710
00:39:40,719 --> 00:39:43,840
Speaker 1: economic one. I just don't. I think people are upset

711
00:39:43,960 --> 00:39:48,360
Speaker 1: about that, the way the country has changed on a

712
00:39:48,480 --> 00:39:52,120
Speaker 1: non economic basis. I think people are freaked out about

713
00:39:52,880 --> 00:39:55,080
Speaker 1: changes that no one in this room thinks is weird.

714
00:39:55,400 --> 00:39:57,879
Speaker 1: Like when I went to Miami, Texas, Like, I don't

715
00:39:57,880 --> 00:40:01,120
Speaker 1: think trans rights are new. I don't think gay marriage

716
00:40:01,120 --> 00:40:03,600
Speaker 1: is new. I don't think, uh, you know, I don't,

717
00:40:04,000 --> 00:40:07,040
Speaker 1: but things happen so quickly and it's not being processed

718
00:40:07,080 --> 00:40:10,520
Speaker 1: by people in rural areas, and they've got a lot

719
00:40:10,600 --> 00:40:13,040
Speaker 1: of power in our system. But on the other side

720
00:40:13,040 --> 00:40:15,320
Speaker 1: of that, if you were on the left, that wouldn't

721
00:40:15,360 --> 00:40:19,080
Speaker 1: be obscure to you. But there's still there is what's

722
00:40:19,080 --> 00:40:21,359
Speaker 1: that Where is that momentum coming from? Like I guess

723
00:40:21,400 --> 00:40:23,600
Speaker 1: in that world if the rest of cities are becoming

724
00:40:23,680 --> 00:40:27,360
Speaker 1: bigger and stronger, right, And I think people are freaking

725
00:40:27,360 --> 00:40:30,959
Speaker 1: out about about that. And I don't think telling them

726
00:40:31,080 --> 00:40:33,800
Speaker 1: that they're going to not pay for college is gonna

727
00:40:34,280 --> 00:40:37,640
Speaker 1: have any residents other than screw you. I paid for

728
00:40:37,680 --> 00:40:40,920
Speaker 1: my kids college. Well that's that. That's the one thing

729
00:40:40,960 --> 00:40:43,480
Speaker 1: you always hear back from people who have paid. But

730
00:40:43,560 --> 00:40:47,399
Speaker 1: I think that's where if you're gonna give that person

731
00:40:47,400 --> 00:40:49,720
Speaker 1: insurance who doesn't work, I have a job, I'm scraping

732
00:40:49,719 --> 00:40:52,239
Speaker 1: by and I earned my insurance. I don't know. I

733
00:40:52,320 --> 00:40:55,080
Speaker 1: just know it's something you heard from the culinary union though,

734
00:40:55,239 --> 00:40:57,440
Speaker 1: where where people were like, why would you vote for

735
00:40:57,480 --> 00:41:01,600
Speaker 1: Sanders when your union gives you is great insurance? And

736
00:41:02,080 --> 00:41:04,800
Speaker 1: that's what they're saying. Sanders would take away your insurance

737
00:41:04,800 --> 00:41:06,200
Speaker 1: and they were like, yeah, but I might lose my

738
00:41:06,280 --> 00:41:09,440
Speaker 1: job then what and when? Also this choice though, to like,

739
00:41:09,520 --> 00:41:11,719
Speaker 1: let's be real, the people who are putting together these

740
00:41:11,760 --> 00:41:14,840
Speaker 1: insurance plans are the stakeholders themselves, so that's not in

741
00:41:14,880 --> 00:41:18,239
Speaker 1: their business interest to offer people good health insurance. So

742
00:41:18,280 --> 00:41:21,160
Speaker 1: I think that's another myth though, to say like, well

743
00:41:21,200 --> 00:41:24,480
Speaker 1: there's this choice, but like there's who's who is offering

744
00:41:24,520 --> 00:41:31,360
Speaker 1: people like actually dignified sort of truly like humane healthcare

745
00:41:31,600 --> 00:41:33,960
Speaker 1: where it's like, what's what, what do you what's going on?

746
00:41:34,040 --> 00:41:36,040
Speaker 1: What do you need? And the next question is like,

747
00:41:36,120 --> 00:41:38,799
Speaker 1: well what plan are you on? Because then that's the

748
00:41:38,840 --> 00:41:40,759
Speaker 1: second thing we got it, And that's I think that's

749
00:41:40,800 --> 00:41:43,279
Speaker 1: the that's the sort of gridlock or the log jam

750
00:41:43,360 --> 00:41:46,160
Speaker 1: that people are trying to address, because then it's not humane.

751
00:41:46,160 --> 00:41:47,919
Speaker 1: Now it's like there's a you know, there's a cast

752
00:41:47,960 --> 00:41:50,600
Speaker 1: system within what kind of medical care you can get? Yeah,

753
00:41:50,680 --> 00:41:53,520
Speaker 1: and I think, you know, I think obviously the fact

754
00:41:53,600 --> 00:41:56,000
Speaker 1: that there's all these new forms of media that are

755
00:41:56,040 --> 00:41:59,960
Speaker 1: not like going through the same process, uh, they're they're

756
00:42:00,160 --> 00:42:04,480
Speaker 1: not the same outlets that people been using for decades

757
00:42:04,520 --> 00:42:09,120
Speaker 1: at least is also affecting this and you know, from

758
00:42:09,160 --> 00:42:15,319
Speaker 1: a bad perspective, Facebook causing deadly riots and countries in

759
00:42:15,920 --> 00:42:18,560
Speaker 1: like in India, I think there was one. But I

760
00:42:18,600 --> 00:42:22,000
Speaker 1: also think that people, you know, like back in the nineties,

761
00:42:22,200 --> 00:42:25,120
Speaker 1: MSNBC was where you would go to find out like

762
00:42:25,200 --> 00:42:29,359
Speaker 1: what the democratic take was, like what who Democrats would

763
00:42:29,400 --> 00:42:32,120
Speaker 1: vote for? And now it feels like there's plenty of

764
00:42:32,480 --> 00:42:37,000
Speaker 1: other ways to interact and communicate on that front, just

765
00:42:37,040 --> 00:42:40,400
Speaker 1: not from like a singular sources. Yeah, yeah, and I

766
00:42:40,440 --> 00:42:44,719
Speaker 1: mean just yeah, Facebook obviously is not where we want

767
00:42:44,719 --> 00:42:46,719
Speaker 1: people to be getting their information from. But I do

768
00:42:46,800 --> 00:42:50,200
Speaker 1: think that I just give well, but that's what we

769
00:42:50,239 --> 00:42:52,920
Speaker 1: saw with in the two thousand and sixteen elections that

770
00:42:53,000 --> 00:42:55,680
Speaker 1: was more influential than anyone was giving it credit for

771
00:42:56,000 --> 00:42:58,319
Speaker 1: in the run up to the election. Was you know,

772
00:42:58,360 --> 00:43:01,560
Speaker 1: people being influenced by the fact that there are these

773
00:43:02,120 --> 00:43:09,160
Speaker 1: more democratically determined, uh forms of communication than what what

774
00:43:09,239 --> 00:43:12,239
Speaker 1: has happened in the past. And that can be you know,

775
00:43:12,520 --> 00:43:14,880
Speaker 1: a bad thing obviously, but I think it can also

776
00:43:15,480 --> 00:43:19,799
Speaker 1: be partially explaining why there's populous movement on the left too.

777
00:43:20,440 --> 00:43:23,359
Speaker 1: All right, well, the marathon continues, it does. Let's take

778
00:43:23,400 --> 00:43:37,600
Speaker 1: another break we'll be right back and we're back, and uh,

779
00:43:37,680 --> 00:43:41,759
Speaker 1: let's talk about Sylvester Stallone's new film. Uh. I've said

780
00:43:41,800 --> 00:43:44,239
Speaker 1: before on the show that I think he's you know,

781
00:43:44,320 --> 00:43:47,280
Speaker 1: in the eighties he was one of America's leading propagandists,

782
00:43:47,320 --> 00:43:50,880
Speaker 1: if not America's leading propagandists. He had a Rocky four

783
00:43:51,040 --> 00:43:53,840
Speaker 1: and Rambo two came out in the same year and

784
00:43:53,880 --> 00:43:56,160
Speaker 1: more like two and three at the box office for

785
00:43:56,160 --> 00:43:58,040
Speaker 1: the year, and it was like Rambo goes back and

786
00:43:58,080 --> 00:44:00,919
Speaker 1: wins the Vietnam War and Rocky win the Cold War

787
00:44:01,040 --> 00:44:06,240
Speaker 1: from done and done, left and right. Uh. And he's

788
00:44:06,480 --> 00:44:09,839
Speaker 1: continued to try and do that in the modern era

789
00:44:09,920 --> 00:44:14,120
Speaker 1: with kind of to less effect. He had Rambos whatever

790
00:44:14,160 --> 00:44:17,680
Speaker 1: that come out. Was that the one like the Narco Trafficker? Yeah,

791
00:44:17,760 --> 00:44:21,680
Speaker 1: and it was yeah, it was basically, uh, you know,

792
00:44:21,719 --> 00:44:24,240
Speaker 1: an argument for the wall type thing. Oh. I interviewed

793
00:44:24,320 --> 00:44:27,120
Speaker 1: him for that. Which year was this? This was like

794
00:44:27,160 --> 00:44:31,200
Speaker 1: the last ye year, No, the one before them where

795
00:44:31,360 --> 00:44:35,319
Speaker 1: that was also dealing with Oh but what And that

796
00:44:35,320 --> 00:44:37,080
Speaker 1: one was just sort of like everyone was like, dude,

797
00:44:37,080 --> 00:44:40,359
Speaker 1: it's one of the most violent films ever. Right, wasn't

798
00:44:40,360 --> 00:44:42,440
Speaker 1: that like the Hook? Not even like the narrative. It's like,

799
00:44:42,600 --> 00:44:44,279
Speaker 1: I don't know, man, people's heads are just I don't

800
00:44:44,280 --> 00:44:47,280
Speaker 1: remember what it was about, but even there was it was. Yeah.

801
00:44:47,920 --> 00:44:51,279
Speaker 1: So the last Rambo movie was had weird you know

802
00:44:51,360 --> 00:44:54,239
Speaker 1: things about the Mexican border and did not do very

803
00:44:54,280 --> 00:44:59,759
Speaker 1: well and was critically panned. But he's he's back, yeah,

804
00:45:00,000 --> 00:45:05,000
Speaker 1: with another movie with Little America. He's slowly been getting

805
00:45:05,280 --> 00:45:08,200
Speaker 1: you know, some more distribution deals going for this film.

806
00:45:08,800 --> 00:45:11,879
Speaker 1: Uh so, this is what Little America's about. It's called

807
00:45:11,920 --> 00:45:14,760
Speaker 1: Little America. Wait till you hear Why. Much like The Apple,

808
00:45:14,920 --> 00:45:21,280
Speaker 1: the Camal, Johnny So setting the dystopian future where America

809
00:45:21,320 --> 00:45:24,080
Speaker 1: has become bankrupt and turned into a war zone. Stallone

810
00:45:24,080 --> 00:45:26,600
Speaker 1: will play a former army ranger hired by an Asian

811
00:45:26,640 --> 00:45:30,040
Speaker 1: billionaire to find his daughters. With the highly skilled sister

812
00:45:30,120 --> 00:45:33,480
Speaker 1: of the missing woman along for the ride. Slide ranger

813
00:45:33,560 --> 00:45:37,600
Speaker 1: must navigate the dark underbelly of Little America, a walled

814
00:45:37,640 --> 00:45:41,959
Speaker 1: off city within a city in Hong Kong where many

815
00:45:42,000 --> 00:45:47,600
Speaker 1: Americans have fled. No, Wow, there are layers to that cake.

816
00:45:47,760 --> 00:45:50,080
Speaker 1: This is what I was talking about with the far

817
00:45:50,200 --> 00:45:55,040
Speaker 1: right thinking that America's a dystopia now city within his

818
00:45:55,920 --> 00:45:57,480
Speaker 1: and the like that's the kind of thing where it's say,

819
00:45:57,560 --> 00:45:59,960
Speaker 1: like pretty soon we're going to go into these other countries.

820
00:46:00,600 --> 00:46:03,439
Speaker 1: There's gonna be a little America where they talk about

821
00:46:03,440 --> 00:46:09,120
Speaker 1: our food like they do their No my nightmare. Yeah,

822
00:46:09,239 --> 00:46:11,440
Speaker 1: I'm curious to see what this these sets look like.

823
00:46:12,200 --> 00:46:19,759
Speaker 1: What like there's like everything about this trailer Hamburger here.

824
00:46:20,200 --> 00:46:24,080
Speaker 1: America in Osaka that I've been to have little places

825
00:46:24,120 --> 00:46:27,040
Speaker 1: like that. And there's like acle in Tokyo that was

826
00:46:27,080 --> 00:46:29,840
Speaker 1: more of like a former black market where like g

827
00:46:30,040 --> 00:46:32,759
Speaker 1: I s or trading stuff during the end of the war. Yeah,

828
00:46:32,800 --> 00:46:34,520
Speaker 1: and there's like yeah that, but this is a little

829
00:46:34,560 --> 00:46:37,400
Speaker 1: the little one of those soccer is literally like American

830
00:46:37,480 --> 00:46:39,680
Speaker 1: flags and you know the Hamburger restaurants, and it's like

831
00:46:39,719 --> 00:46:43,600
Speaker 1: a little a little weird, you know, anime version of America,

832
00:46:45,000 --> 00:46:49,279
Speaker 1: the dystopian one where it's refugee Americans. That's different, Like

833
00:46:49,320 --> 00:46:52,200
Speaker 1: what do they do like get around and like sing

834
00:46:52,320 --> 00:47:00,480
Speaker 1: nickel Back by the fire Little America. Yeah, Miles goes

835
00:47:00,520 --> 00:47:03,480
Speaker 1: deep with Nickelback. Yeah, give me the hit, oh Man

836
00:47:04,480 --> 00:47:09,320
Speaker 1: from underneath the trees. We watched the skies confusing sauce

837
00:47:09,719 --> 00:47:15,200
Speaker 1: for satellites. I never dream that youube be man. We're here, Yeah,

838
00:47:15,800 --> 00:47:20,040
Speaker 1: we're here, and that anyway, I mean, that's like a

839
00:47:20,080 --> 00:47:22,640
Speaker 1: deep cunt. That's not one. I mean, look, yeah, you

840
00:47:22,680 --> 00:47:25,000
Speaker 1: gotta do it. I never made it out one man,

841
00:47:25,480 --> 00:47:27,839
Speaker 1: but I like the other one. I'm alive. I mean,

842
00:47:27,840 --> 00:47:30,080
Speaker 1: that's if no one cared, is what that one was about.

843
00:47:31,280 --> 00:47:33,720
Speaker 1: So you know when we when when I'm the great

844
00:47:33,840 --> 00:47:37,880
Speaker 1: Bard of Little America being like, tell us another one, man,

845
00:47:38,480 --> 00:47:41,920
Speaker 1: Oh yeah, gather around. Chad was really on one with

846
00:47:42,000 --> 00:47:48,279
Speaker 1: this one. Huh. That's also he's Canadian. Yeah, but the

847
00:47:48,320 --> 00:47:50,960
Speaker 1: great irony of Little America is we're still like they're like,

848
00:47:51,160 --> 00:47:58,120
Speaker 1: that's Canadian killed that I must never never be revealed. Yeah, well,

849
00:47:58,160 --> 00:48:01,600
Speaker 1: speaking of American culture, that is actually Canadian paw Patrol.

850
00:48:02,360 --> 00:48:06,360
Speaker 1: That's yeah. Yeah. So it's a kid's cartoon set in

851
00:48:06,680 --> 00:48:11,799
Speaker 1: thunder Bay, a world where adults are usually like the

852
00:48:12,040 --> 00:48:17,480
Speaker 1: adults are incredibly incompetent, and they're often rescued by a

853
00:48:17,560 --> 00:48:20,600
Speaker 1: small boy named Rider and a bunch of dogs, Chase

854
00:48:21,040 --> 00:48:27,440
Speaker 1: Marshall Sky and Rubble uh and Rubble. Yeah. He's the

855
00:48:27,560 --> 00:48:30,160
Speaker 1: construction guy like knocks things down and builds them back up.

856
00:48:31,560 --> 00:48:38,160
Speaker 1: Total badass, uh right, But so each dog has a

857
00:48:38,160 --> 00:48:44,120
Speaker 1: set of skills. Um. They the firefighter dog is the

858
00:48:44,280 --> 00:48:47,439
Speaker 1: comic relief, but very he's not very funny, guys, he'd

859
00:48:47,480 --> 00:48:51,560
Speaker 1: be he surprised, how and funny is um? And I

860
00:48:51,600 --> 00:48:54,520
Speaker 1: would never think of the firefighters the funny one. Yeah,

861
00:48:54,719 --> 00:48:58,600
Speaker 1: well I would be given the Rubble of the Joey right, Yeah,

862
00:48:58,680 --> 00:49:01,000
Speaker 1: rubble and rubbles a bull dog who has like an

863
00:49:01,080 --> 00:49:04,719
Speaker 1: underbyte and it's kind of like goofy and but but yeah,

864
00:49:04,719 --> 00:49:08,360
Speaker 1: they give Marshall all the quips. I think because the

865
00:49:08,400 --> 00:49:10,880
Speaker 1: group marshals the fire dog. Yeah, I think he's the chandler.

866
00:49:10,920 --> 00:49:14,120
Speaker 1: And he's also I think the kid's favorite because he's

867
00:49:14,160 --> 00:49:17,319
Speaker 1: a firemanber. Yeah, and he has like a like thing

868
00:49:17,360 --> 00:49:20,200
Speaker 1: that comes out of his backpack, that square that's like

869
00:49:20,239 --> 00:49:22,719
Speaker 1: a fire hose. So pretty kay you do have that?

870
00:49:22,760 --> 00:49:28,040
Speaker 1: Actually it's called a camelback, right, but so. Earlier in

871
00:49:28,080 --> 00:49:32,480
Speaker 1: the month, the Canadian Broadcasting Corporation posted an online interview

872
00:49:32,520 --> 00:49:37,120
Speaker 1: with a criminology professor, Liam Kennedy UH, who had just

873
00:49:37,160 --> 00:49:40,560
Speaker 1: published an article all about Paw Patrol, criticizing the show's

874
00:49:40,640 --> 00:49:46,560
Speaker 1: problematic neoliberal messaging. Basically, his argument is that the show

875
00:49:46,640 --> 00:49:51,080
Speaker 1: implies that business is a reasonable alternative to government. The

876
00:49:51,120 --> 00:49:55,360
Speaker 1: mayor is useless. I mean, like most of the problems

877
00:49:55,400 --> 00:49:57,719
Speaker 1: come from the mayor just not being able to do

878
00:49:57,880 --> 00:50:02,879
Speaker 1: anything right there constantly, just like you know, rescuing her

879
00:50:02,960 --> 00:50:06,440
Speaker 1: from a corner she got stuck in because she didn't

880
00:50:06,480 --> 00:50:10,719
Speaker 1: turn around or something. Um, they are, yeah, and they're

881
00:50:10,800 --> 00:50:13,960
Speaker 1: essentially So his argument is that they're essentially a private corporation.

882
00:50:14,080 --> 00:50:18,000
Speaker 1: That the that's the thing. You never see them paid.

883
00:50:18,120 --> 00:50:21,319
Speaker 1: So it's a pretty weak argument because it's not like

884
00:50:21,440 --> 00:50:26,399
Speaker 1: they may be volunteers right way, they're paramilitary, right, that's right, Yeah,

885
00:50:26,440 --> 00:50:29,279
Speaker 1: that's right. And but you know, it's not like you

886
00:50:29,320 --> 00:50:34,920
Speaker 1: see other like government provided services. They're like hey, regular

887
00:50:35,000 --> 00:50:41,800
Speaker 1: municipal fire department. Blew it again, fire department. It's just basically,

888
00:50:41,840 --> 00:50:45,480
Speaker 1: Paw Patrol is the only entity in thunder Bay that

889
00:50:45,640 --> 00:50:50,440
Speaker 1: is solving problems for the community. So where's the GAT patrol?

890
00:50:50,880 --> 00:50:54,359
Speaker 1: The what the GAT patrol? The GAT patrol? That isn't

891
00:50:54,360 --> 00:50:56,799
Speaker 1: that something in nine problems that they don't understand? Oh

892
00:50:56,880 --> 00:51:02,439
Speaker 1: yeah patrol that is. But I like it. That is good.

893
00:51:02,840 --> 00:51:05,359
Speaker 1: There are cats and they're all evil, so I'd say

894
00:51:05,400 --> 00:51:08,560
Speaker 1: that is the more uh, I mean problematic messaging all

895
00:51:08,600 --> 00:51:10,600
Speaker 1: the cats are bad. I mean, I think it's just

896
00:51:10,760 --> 00:51:13,640
Speaker 1: I mean, he's just he means he has shooters, right,

897
00:51:13,920 --> 00:51:17,560
Speaker 1: any shooters patrol? That means I got it. They're ready,

898
00:51:17,600 --> 00:51:21,200
Speaker 1: They're ready. Yeah. So I am on the side of

899
00:51:21,239 --> 00:51:24,960
Speaker 1: the Canadian criminologist here. I haven't seen PAP patrol and

900
00:51:25,000 --> 00:51:28,319
Speaker 1: I assume he hasn't either. But I'm gonna say, in

901
00:51:28,400 --> 00:51:34,080
Speaker 1: my neighborhood, Uh, this thing happened where these guys started

902
00:51:34,239 --> 00:51:38,080
Speaker 1: coming from this company called a CS They okay, so

903
00:51:38,120 --> 00:51:40,840
Speaker 1: they came like door to door as so it's a

904
00:51:40,840 --> 00:51:44,520
Speaker 1: paramilitary Oh isn't that like want to be cop? Guys

905
00:51:44,880 --> 00:51:47,319
Speaker 1: in like chargers. It's like in gross point blank where

906
00:51:47,760 --> 00:51:50,600
Speaker 1: the guy is like all over Hollywood, aren't they? Yeah,

907
00:51:50,920 --> 00:51:52,640
Speaker 1: that's where I live. So they come to her to

908
00:51:52,719 --> 00:51:55,879
Speaker 1: door and my wife keeps mentioning, like our neighbors are

909
00:51:55,880 --> 00:51:58,400
Speaker 1: doing it. It's not that expensive and if enough of

910
00:51:58,480 --> 00:52:00,640
Speaker 1: us do it, they'll be twenty four hours or balance.

911
00:52:00,680 --> 00:52:02,520
Speaker 1: And these guys in cars, I'm like, who are these

912
00:52:02,520 --> 00:52:05,040
Speaker 1: guys in cars? They have gotten She's like, they do

913
00:52:05,120 --> 00:52:07,560
Speaker 1: have guns. They seem a little young for retiring cops.

914
00:52:08,520 --> 00:52:10,560
Speaker 1: They have guns. I'm like, they have guns, like every

915
00:52:10,600 --> 00:52:13,439
Speaker 1: in our neighborhood is against guns. When we're gonna hire

916
00:52:13,520 --> 00:52:16,759
Speaker 1: people with guns who aren't even cops to like, and

917
00:52:16,800 --> 00:52:18,880
Speaker 1: she's like, they're really good at call of duty. And

918
00:52:18,920 --> 00:52:20,879
Speaker 1: she's like, well, there's just been more crime, like there

919
00:52:20,960 --> 00:52:23,399
Speaker 1: is no crime in our neighborhood. And so sure enough,

920
00:52:23,440 --> 00:52:25,239
Speaker 1: one day I come home and there's a guy in

921
00:52:25,280 --> 00:52:28,960
Speaker 1: a in a uniform at our table. There's there's forms

922
00:52:29,000 --> 00:52:31,279
Speaker 1: being signed, and now I'm a member of the Days.

923
00:52:31,360 --> 00:52:34,680
Speaker 1: Yes thing, so I'm I'm hiring my own Paw Patrol.

924
00:52:35,160 --> 00:52:38,720
Speaker 1: And then not long after we've hired Paw Patrol, there's

925
00:52:38,760 --> 00:52:42,480
Speaker 1: some flashlights on our deck and like two am, and

926
00:52:42,560 --> 00:52:44,759
Speaker 1: my wife wakes me up and she's like, what's that

927
00:52:45,360 --> 00:52:48,120
Speaker 1: And I'm like, it's just a helicopter lights, which it

928
00:52:48,280 --> 00:52:53,319
Speaker 1: was obviously not true, and so I go to the

929
00:52:53,360 --> 00:52:56,239
Speaker 1: deck and the flash slash lights disappear, and she's like,

930
00:52:56,840 --> 00:52:59,600
Speaker 1: and I have like a choice where I could either

931
00:52:59,640 --> 00:53:02,560
Speaker 1: go out side or I could call ACS. Definitely called

932
00:53:02,600 --> 00:53:05,040
Speaker 1: a c S. So um, the next thing I know,

933
00:53:05,080 --> 00:53:07,360
Speaker 1: the cops come through. This is my book. Actually, the

934
00:53:07,400 --> 00:53:10,560
Speaker 1: cops come to my door and I look out my

935
00:53:10,600 --> 00:53:12,279
Speaker 1: window and they seem like laughing. So I opened the

936
00:53:12,280 --> 00:53:15,239
Speaker 1: door and they're now they're dead serious and annoyed, and

937
00:53:15,280 --> 00:53:19,600
Speaker 1: they're like, your next door neighbor has a different paramilitary

938
00:53:19,600 --> 00:53:22,239
Speaker 1: paw patrol service, and they were hot and they came

939
00:53:22,280 --> 00:53:24,800
Speaker 1: by to he's on vacations. They were checking his yard

940
00:53:25,480 --> 00:53:30,319
Speaker 1: flashlights which triggered your paramilitary paw patrol and they could

941
00:53:30,360 --> 00:53:33,319
Speaker 1: have shot at each other. We could have all we

942
00:53:33,360 --> 00:53:35,560
Speaker 1: could have all died and our houses would have been

943
00:53:35,640 --> 00:53:39,880
Speaker 1: left to like Bernie to give um. So so I'm against.

944
00:53:39,960 --> 00:53:42,160
Speaker 1: I think the paw patrol is nothing but trouble. Yeah,

945
00:53:42,239 --> 00:53:47,160
Speaker 1: I don't know why it's legal cops. Yeah, well that's

946
00:53:47,200 --> 00:53:49,319
Speaker 1: where're headed. Baby. You know, hey, why don't we take

947
00:53:49,360 --> 00:53:52,240
Speaker 1: that off your hand? City? It's sound, it's it's South Africa.

948
00:53:52,280 --> 00:53:57,920
Speaker 1: It's crazy. Yeah. And I do think that generally, you know,

949
00:53:58,239 --> 00:54:01,600
Speaker 1: it's an impressionable audience. I don't think they're fully grasping

950
00:54:01,680 --> 00:54:05,600
Speaker 1: the messaging here, but you know, one day it could

951
00:54:05,800 --> 00:54:09,640
Speaker 1: it could trickle down into uh, into their thinking on

952
00:54:09,719 --> 00:54:11,759
Speaker 1: other things. And I didn't mention I'm sorry that the

953
00:54:11,840 --> 00:54:17,719
Speaker 1: people s s are they're all dogs are all dogs dogs,

954
00:54:17,719 --> 00:54:21,479
Speaker 1: which is yeah, and a and a twelve year old Yeah,

955
00:54:21,560 --> 00:54:26,920
Speaker 1: he's the manager. Yeah, he runs a tight chip um. Yeah.

956
00:54:27,000 --> 00:54:30,600
Speaker 1: It's so anyways, this is causing like Fox News to

957
00:54:30,680 --> 00:54:34,920
Speaker 1: be like, oh they're what, we can't have children's cartoons anymore,

958
00:54:35,280 --> 00:54:39,000
Speaker 1: and they're really mad and they're claiming it's a CBC

959
00:54:39,560 --> 00:54:43,359
Speaker 1: like report when it's actually the CBC interviewing a guy

960
00:54:43,400 --> 00:54:49,080
Speaker 1: who said a thing being totally to Liam Kennedy. I'm sorry,

961
00:54:50,080 --> 00:54:54,759
Speaker 1: uh so yeah, it's it's becoming uh sort of a

962
00:54:54,840 --> 00:54:57,040
Speaker 1: thing just over some pause. Man, Yeah you know what

963
00:54:57,080 --> 00:54:58,680
Speaker 1: I mean, not to be a conspiracy theorist, but is

964
00:54:58,719 --> 00:55:02,480
Speaker 1: he a Kennedy could be? Yeah, you never know. I

965
00:55:02,600 --> 00:55:07,160
Speaker 1: thought thought I looked into that and fucking mate. Well, Joel,

966
00:55:07,200 --> 00:55:09,680
Speaker 1: it's been a pleasure having you. Man, how do you

967
00:55:09,680 --> 00:55:14,040
Speaker 1: guys do this every day? Coffee? Cold brew? Got it?

968
00:55:14,120 --> 00:55:17,839
Speaker 1: Where can people find you? Follow here? Apparently? Yeah? There

969
00:55:17,920 --> 00:55:20,600
Speaker 1: you go. You're on social media. You're on Twitter. People

970
00:55:20,600 --> 00:55:23,480
Speaker 1: can follow you there. You're a great follow. Uh. You

971
00:55:23,640 --> 00:55:27,799
Speaker 1: also are an author and you have a book that

972
00:55:27,840 --> 00:55:31,279
Speaker 1: people should go by by a couple Yeah, yeah, I'd

973
00:55:31,400 --> 00:55:34,759
Speaker 1: highly recommend it. Doesn't it doesn't work that well until

974
00:55:34,800 --> 00:55:38,319
Speaker 1: you get a couple of them. Yeah, I gotta read

975
00:55:38,320 --> 00:55:44,520
Speaker 1: to it the yeah, is there a tweet or some

976
00:55:44,560 --> 00:55:47,839
Speaker 1: other work of social media that you've been enjoying I did.

977
00:55:47,920 --> 00:55:49,759
Speaker 1: I liked something. I thought it was really smart that

978
00:55:49,840 --> 00:55:53,080
Speaker 1: Virginia Heffernan tweeted, and I wrote it down for you guys.

979
00:55:53,800 --> 00:55:59,000
Speaker 1: Virtue signaling is standard snoozy hypocrisy, but vice signaling Trump's

980
00:55:59,040 --> 00:56:02,560
Speaker 1: hideous shakedown of Ukraine in New York, bar fixing, stones

981
00:56:02,640 --> 00:56:05,560
Speaker 1: Case and all the running with the Devil is white

982
00:56:05,560 --> 00:56:08,719
Speaker 1: collar Ozzy Osbourne. The bar fix has got to be

983
00:56:08,760 --> 00:56:11,200
Speaker 1: the DC equivalent of fighting off the head of a bat.

984
00:56:12,480 --> 00:56:17,000
Speaker 1: I love the idea of vice signaling, I think is

985
00:56:17,040 --> 00:56:21,880
Speaker 1: a sh yeah let him know. Um Miles, where can

986
00:56:21,920 --> 00:56:25,279
Speaker 1: people find you? Twitter? Instagram, at Miles of Gray And

987
00:56:25,320 --> 00:56:28,880
Speaker 1: on my other podcast for twenty Day Fiance discussing the

988
00:56:29,000 --> 00:56:32,920
Speaker 1: Seminal TV show ninety Day Fiance with Sophie Alexandra. A

989
00:56:32,960 --> 00:56:36,400
Speaker 1: tweet I like is from at major trans celeb It says,

990
00:56:36,520 --> 00:56:40,359
Speaker 1: I don't need a kombucha company to have an origin story.

991
00:56:41,440 --> 00:56:43,960
Speaker 1: Just I feel like any time you lift the label

992
00:56:44,000 --> 00:56:46,440
Speaker 1: of anything with kombucha on it, it starts off with

993
00:56:46,520 --> 00:56:51,520
Speaker 1: some whimsical thing about like it all started the garage

994
00:56:51,560 --> 00:56:53,759
Speaker 1: or Where does the kombucha company start? All depends which

995
00:56:53,800 --> 00:56:56,440
Speaker 1: company you're looking at. Man, just on the floor. They

996
00:56:56,520 --> 00:57:00,479
Speaker 1: just don't come from all the all the run off

997
00:57:01,640 --> 00:57:04,319
Speaker 1: tweet I've been enjoying at Drill tweeted if a four

998
00:57:04,400 --> 00:57:06,480
Speaker 1: year old child tried to accidentally shoot me, I would

999
00:57:06,480 --> 00:57:09,279
Speaker 1: simply disarm it by using a complete arm latch into

1000
00:57:09,320 --> 00:57:15,880
Speaker 1: tactical body roll um and then yeah, that's it. You

1001
00:57:15,880 --> 00:57:17,960
Speaker 1: can find me on Twitter at Jack Underscore O'Brien. You

1002
00:57:18,000 --> 00:57:20,360
Speaker 1: can find us on Twitter at Daily Zeitgeist. Were at

1003
00:57:20,360 --> 00:57:23,480
Speaker 1: the Daily Zeitgeist on Instagram. We have a Facebook fan

1004
00:57:23,520 --> 00:57:26,240
Speaker 1: page and a website, Daily zeitgeist dot com, where we

1005
00:57:26,280 --> 00:57:29,440
Speaker 1: post our episodes and our footnote. We link off to

1006
00:57:29,480 --> 00:57:31,920
Speaker 1: the information that we talked about in today's episode, as

1007
00:57:31,920 --> 00:57:35,560
Speaker 1: well as the song we ride out on Miles. What

1008
00:57:35,600 --> 00:57:38,200
Speaker 1: are we riding out on today? This is from producer

1009
00:57:38,240 --> 00:57:41,120
Speaker 1: Danny le Flair. We had one of the tracks maybe

1010
00:57:41,200 --> 00:57:44,680
Speaker 1: two weeks ago, but this is another one called Again.

1011
00:57:44,800 --> 00:57:48,360
Speaker 1: If you like the sample based hip hop instrumentals, you know,

1012
00:57:48,600 --> 00:57:50,600
Speaker 1: freestyle out of this one in your car and free

1013
00:57:50,680 --> 00:57:52,520
Speaker 1: your kids out. Let them know. Yeah Dad used to

1014
00:57:52,520 --> 00:57:54,960
Speaker 1: be in a rap group. Okay, Dad used to be

1015
00:57:55,000 --> 00:57:56,480
Speaker 1: in a really sick rap We all used to be

1016
00:57:56,480 --> 00:58:01,160
Speaker 1: in rap groups. Maybe that's our thing. Are lance Armstrong

1017
00:58:01,280 --> 00:58:03,959
Speaker 1: for our generation when we revert to something to feel

1018
00:58:04,000 --> 00:58:06,040
Speaker 1: magical again? I'm like my dad's it back in his

1019
00:58:06,120 --> 00:58:09,040
Speaker 1: wrapper phase. Yeah, we were trying to talk, trying to

1020
00:58:09,080 --> 00:58:12,200
Speaker 1: figure out what like the way that uh you know

1021
00:58:12,280 --> 00:58:16,160
Speaker 1: people who are of a certain age now dressing all

1022
00:58:16,360 --> 00:58:19,200
Speaker 1: like Lance Armstrong gear and go biking with their friends.

1023
00:58:19,880 --> 00:58:22,240
Speaker 1: Uh do you not know? Have you like middle aged bikers?

1024
00:58:22,400 --> 00:58:24,960
Speaker 1: Have you seen this is forty the Yes, No, I'm

1025
00:58:25,080 --> 00:58:27,439
Speaker 1: in that Paul Red demo and this is you don't

1026
00:58:27,440 --> 00:58:29,880
Speaker 1: mean literally Lance Armstrong out, but you mean cycling gear

1027
00:58:30,200 --> 00:58:33,600
Speaker 1: just like way professional. Like you're like, you're sir, you're

1028
00:58:33,640 --> 00:58:35,880
Speaker 1: not even fit enough to I've been to the Lance

1029
00:58:35,960 --> 00:58:39,000
Speaker 1: Armstrong bike cycling store in Austin where you can get

1030
00:58:39,000 --> 00:58:43,800
Speaker 1: thee yeah Mellow Johnny's. Yeah, as as in Mayo Jean,

1031
00:58:45,840 --> 00:58:48,520
Speaker 1: but I didn't buy um. Yeah, we were trying to

1032
00:58:48,560 --> 00:58:56,080
Speaker 1: figure out what what the next thing for millennials, the millennial. Yeah,

1033
00:58:56,120 --> 00:58:59,120
Speaker 1: like when you're like trying to recapture the crisis out there,

1034
00:58:59,480 --> 00:59:02,240
Speaker 1: it's like, oh boy, it's like there's a pack of

1035
00:59:02,400 --> 00:59:05,640
Speaker 1: people in in the midst of a crisis. Wait, did

1036
00:59:05,640 --> 00:59:07,960
Speaker 1: you come up with something from millennials? We could just

1037
00:59:08,040 --> 00:59:10,080
Speaker 1: kind of rack our brain. I felt like I had

1038
00:59:10,200 --> 00:59:12,600
Speaker 1: thought of something a long time ago, but I know

1039
00:59:13,240 --> 00:59:15,680
Speaker 1: we all have. We're all going to have that thing. Yea, Well,

1040
00:59:15,720 --> 00:59:19,840
Speaker 1: it's we're thinking like Kanye outfits like Kanye clothing like

1041
00:59:19,880 --> 00:59:24,040
Speaker 1: your yeasies or right, just like oversized, oversized. Everything has

1042
00:59:24,080 --> 00:59:26,880
Speaker 1: to be a little expensive. And the good thing about

1043
00:59:26,920 --> 00:59:29,720
Speaker 1: that this is forty cyclinging. Is it when you hit

1044
00:59:29,800 --> 00:59:31,880
Speaker 1: the age that I am, you do have this crisis

1045
00:59:31,920 --> 00:59:34,640
Speaker 1: of body? Yeah? Yeah, and the cycling thing is such

1046
00:59:34,680 --> 00:59:39,880
Speaker 1: a great way with millennials like fuck fun trying to exercise,

1047
00:59:39,960 --> 00:59:43,800
Speaker 1: Just wear baggy or such. Right, it's probably some kind

1048
00:59:43,800 --> 00:59:46,360
Speaker 1: of a yeah all right, Well we're gonna write out

1049
00:59:46,400 --> 00:59:48,280
Speaker 1: on that the Daily's like, this is a production of

1050
00:59:48,280 --> 00:59:50,920
Speaker 1: I Heart Radio for more podcasts, for my Heart Radio,

1051
00:59:51,040 --> 00:59:53,320
Speaker 1: is it the I Heart Radio app, Apple podcast or

1052
00:59:53,400 --> 00:59:56,600
Speaker 1: wherever you listen to your favorite shows. That's gonna do

1053
00:59:56,640 --> 00:59:58,680
Speaker 1: it for this morning. We will be back this afternoon

1054
00:59:58,720 --> 01:00:01,320
Speaker 1: to tell you what it is trending, and then back

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Speaker 1: tomorrow with more podcast and we will see you tonight

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Speaker 1: Minneapolis by A. M.