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Speaker 1: Hello the Internet, and welcome to season sixty six, episode

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Speaker 1: one of their Daily Nights the Podcast, where we take

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Speaker 1: a deep dive into America's share consciousness using the headlines

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Speaker 1: box office reports, TV ratings, what's trending on googs? And

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Speaker 1: so she means it's Tuesday, January twenty two thousand nine. Team,

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Speaker 1: my name is Jack O'Brien AK Potatoes O'Brien, and I'm

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Speaker 1: thrilled to be joined as always by my co host,

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Speaker 1: Mr Miles Grag. Okay, now when I do this, this

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Speaker 1: is more of a concept a k A. Now this

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Speaker 1: was written by somebody. This is this is as if

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Speaker 1: Alexandro Kazo Cortez, Racida Taib and Ayana Pressley are talking

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Speaker 1: about how they just got a pointed to the House

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Speaker 1: Financial Services Committee And here we go to the tune

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Speaker 1: of release. So it takes an hour? Yes, here we go.

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Speaker 1: Well we first stepped on the scene. Santris with the

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Speaker 1: dread fled back to the hill like they would be

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Speaker 1: and chased by home side all that style does you write, Maxine,

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Speaker 1: and it will never see You're wrong? Hey, now you

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Speaker 1: bitch as Republicans in d C. You are is all right?

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Speaker 1: What was that sound anyway, So thank you to Infinite

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Speaker 1: Content s Sober the two one five for that one.

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Speaker 1: Because look, if there's any time I can do a

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Speaker 1: release your delf inspired a K, I will do it.

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Speaker 1: The album is great because he has the fangs in

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Speaker 1: the grill grill, but like he can't really he's not

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Speaker 1: used to it. So he's well. We are thrilled to

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Speaker 1: be joined in art series. He by the host of

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Speaker 1: the Amazing podcast is Grace Land. Mr Jake Brenham. What's

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Speaker 1: up man? Here you doing guys, happy to be here.

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Speaker 1: Thank you for joining us. It's all the way out

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Speaker 1: from uh do you say where you're from? Baston? Baston? Okay? Good,

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Speaker 1: I didn't know if I think, yeah, from a non

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Speaker 1: disclosed location. All Right, we're gonna get to know you

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Speaker 1: a little bit better in a moment. First, we're gonna

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Speaker 1: tell our listeners a couple of the things we're talking

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Speaker 1: about today. We're talking about the personality to on five

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Speaker 1: thirty eights website, supposedly scientific personality test. Miles and I

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Speaker 1: took it, and yeah, we'll just talk about our extremely

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Speaker 1: personal results reveal a lot of things about ourselves. Now

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Speaker 1: we're gonna talk about there's an article out from the

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Speaker 1: AP wondering if the dems twenty twy nominee is going

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Speaker 1: to be someone you've never heard of. So we're gonna

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Speaker 1: check in with who those people are. Make sure you've

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Speaker 1: heard of them so you don't feel stupid at a

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Speaker 1: cocktail parties. I don't know what you people do. Uh,

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Speaker 1: We're gonna talk about the big story right now. Trump

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Speaker 1: allegedly instructed Michael Collen to do lies about Russia. Yeah,

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Speaker 1: I mean, as as people right are repeatedly pointing out.

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Speaker 1: I mean this is from BuzzFeed, the people who published

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Speaker 1: the dossier, and that has been repeatedly corroborated. So we're

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Speaker 1: gonna talk about that. We're gonna talk about how the

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Speaker 1: richest one percent on fifty of the stocks held by

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Speaker 1: American households people are now assuming that a plane rash

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Speaker 1: or terror attack or food poisoning outbreak, we'll have to

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Speaker 1: end the shutdown, which is just very relaxing for those

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Speaker 1: of us who have to travel in the next week.

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Speaker 1: But Jake, first, we like to ask our guests, what

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Speaker 1: is something from your search history that is reeling about

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Speaker 1: who you are? How to succeed without being a complete

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Speaker 1: and total asshole. I'm like, wow, big questions for Google

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Speaker 1: going deep? What was the answer? There is no answer, right,

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Speaker 1: zero results. You ever see that in like movies when

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Speaker 1: like somebody does a search and it's like Google zero results.

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Speaker 1: Like that's about how Google works, guys. They just suggest

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Speaker 1: something else. I mean, unless you're total like garbage gibberish,

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Speaker 1: and then I'll be like, what the funk are you have? Not?

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Speaker 1: But okay, so you're trying, So you find you're finding

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Speaker 1: yourself torn between success and just wanting to like push

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Speaker 1: people down that you pass in the street. Well, yeah, exactly. Yeah,

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Speaker 1: I'm trying to trying to like, you know, tamp down

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Speaker 1: my I just wanted to crush people. Yeah, but yeah,

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Speaker 1: just trying to figure out, like, you know, is there

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Speaker 1: a roadmap? Like there's all these things like how to succeed,

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Speaker 1: but what happens if you actually get there? Not that

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Speaker 1: I'm there or going there, but it's just a natural

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Speaker 1: intellectual curiosity that is important and I didn't want to

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Speaker 1: talk about that. And there you go too. Yeah, some

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Speaker 1: people have just been like, yeah, so I was looking

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Speaker 1: for this very specific and pornography. Do you guys ask

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Speaker 1: this question because you fear that in ten twenty years,

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Speaker 1: our search histories are going to be made available for

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Speaker 1: our children. Uh. Yeah, it's also like getting to know,

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Speaker 1: you think, getting you know what you don't know or

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Speaker 1: what's happening immediately in your life, Like people's curiosity is

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Speaker 1: a good question. But yeah, also that we're all you know,

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Speaker 1: Google is keeping a detailed record of us doomed. Yeah,

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Speaker 1: they'll be able to basically recreate us based on what

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Speaker 1: they know about just Google just has comfromat over the

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Speaker 1: entire universe. Like okay, well remember sure you want to

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Speaker 1: make that take of our privacy policies. Interesting, Um, what

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Speaker 1: is something you think is underrated? Marriage? Okay? Yeah, like

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Speaker 1: the convention of marriage? Like what, yeah, I mean you know,

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Speaker 1: my wife is my best friend. I know this. You

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Speaker 1: can sound totally traditional and maybe lame, but when I

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Speaker 1: became when I got married, they're sort of all those

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Speaker 1: conversations at the beginning of your life's over from all

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Speaker 1: your friends. You know, you're never going to be the same,

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Speaker 1: and it's kind of been the opposite. It's not kind of,

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Speaker 1: it's totally been the opposite. So I thought long and

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Speaker 1: heard about this question, and I was like, you know,

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Speaker 1: as traditional as that sounds, that's that's about as honest

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Speaker 1: as I can get. Yeah, that's good, man. I don't

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Speaker 1: want to get married because for the same reasons, your

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Speaker 1: life is over, You're never gonna be the same. Miles

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Speaker 1: takes all life advice from his drinking buddies. Yeah, and

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Speaker 1: by that, it's my one friend who thought he was

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Speaker 1: going to go to Michigan for football and got hurt

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Speaker 1: and then that sort of informed his life. You ever since,

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Speaker 1: you know, I could have been in the league, right, anyway,

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Speaker 1: you don't get married. He's single, right, Yeah, And he's

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Speaker 1: keep asking if you can crash in my car, like

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Speaker 1: can I just sleep in there? Man? And I'm like,

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Speaker 1: your parents can take you, yeah, but my mom's stepmoms.

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Speaker 1: It's like, okay, dude, I gotta go. But that's good

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Speaker 1: to know because I feel like a lot of people.

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Speaker 1: I mean, as I get older and and my relationship

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Speaker 1: goes longer, and I'm inevitably like, yeah, I probably should

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Speaker 1: get married, but I have, like, you know, just pass

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Speaker 1: bullshit in my life from like I don't know if

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Speaker 1: I'm if I'm gonna get married, right, but I like

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Speaker 1: the idea of being with somebody you know, for your life,

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Speaker 1: for your life partner. I guess it's it's like the

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Speaker 1: idea of marriage. I think maybe you know what it is.

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Speaker 1: I think it's the cost of a wedding that's put

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Speaker 1: in there. Oh, you can just do it. One of

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Speaker 1: the best weddings I've ever been to was just uh

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Speaker 1: my buddy went to City Hall in New York. We

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Speaker 1: just all showed up there and then went and partied

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Speaker 1: the whole night and it was a lot of fun.

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Speaker 1: And then y'all picked up the bill. Yeah. Perfect. The

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Speaker 1: How was your wedding? Um, it was great. It was

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Speaker 1: it ranged, but it didn't matter. It was we get

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Speaker 1: married at my wife's aunt's house in her backyard. He

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Speaker 1: was pretty low key. Now was that ironic? Though? Basic?

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Speaker 1: Based on the song right rain on your Wedding Days? Ironic?

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Speaker 1: I don't see the aut The Queen Alanas Moore said,

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Speaker 1: as much as I should. She really is great though,

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Speaker 1: let's face yeah, yeah I might. I refer you to

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Speaker 1: the Book of Jagged Little Pill. Um. How long you've

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Speaker 1: been married? Seven years? Okay? Yeah, so you're you're at

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Speaker 1: the point where you can confidently say marriage marriage is great? Yes? Uh,

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Speaker 1: like you like yeah, three months. We just got back

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Speaker 1: from Bali. Man, still ride that high A good feeling. Yeah,

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Speaker 1: I just feel really good about this. Yeah. Our surf

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Speaker 1: teacher was so cool. My wife was really into him.

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Speaker 1: He was a really cool guy, Like he was taking

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Speaker 1: her out for like other surf fifth. So I was

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Speaker 1: just relaxed by myself. Yeah, man, I love anyway, What

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Speaker 1: is up that you think is overrated? Hamilton's. Hamilton's reminds

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Speaker 1: me of I don't know how old you guys are,

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Speaker 1: but if you remember, sort of like when hip hop

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Speaker 1: kind of really broke into the mainstream, So like late eighties,

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Speaker 1: all the sitcom Dad's all of a sudden would have

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Speaker 1: a rap in the show and you'd start of see

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Speaker 1: like the Dad on Growing Pains or Bill Cosby, and

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Speaker 1: it was just the lamest, whitest thing you could possibly hear.

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Speaker 1: That's what Hamilton's sounds like to me. The actual And

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Speaker 1: I would say nothing about the story. I haven't seen it,

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Speaker 1: but I've seen you know, I've seen enough clips of

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Speaker 1: the actual music, and it's just like this redundant, repetitive,

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Speaker 1: lack of soul sounding thing to me. So do you

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Speaker 1: like musicals in general? I don't like music like at all.

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Speaker 1: Just damn, just it's weird. There's like he's weird noises

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Speaker 1: behind him while he's trying to talk. I just want

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Speaker 1: to hear the words. Don't talking and why do they rhyme?

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Speaker 1: Yeah exactly. Um No, I'm not a big musical fan,

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Speaker 1: but you know, I can appreciate it, you know, like

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Speaker 1: I've watched by by Bertie like like I get it.

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Speaker 1: Um but yeah, just not the not not not riding

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Speaker 1: for Hamilton's. I've never seen Hamilton's and I don't like

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Speaker 1: and everyone I know it's like, yeah, my god, it's

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Speaker 1: so good, it's so good. But also I just don't

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Speaker 1: like musicals so or not that I don't like them.

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Speaker 1: They don't appeal to me. Uh and I think for

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Speaker 1: the kind of same way, like just somehow breaking out

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Speaker 1: into song and dance like I don't know where. It

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Speaker 1: just feels a little trite, but look not Yeah, but

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Speaker 1: you know, uh sure obviously have not been hanging around

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Speaker 1: my household because that is still how we conduct our

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Speaker 1: daily business. I mean the song and dance. I mean

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Speaker 1: I love music man though you know what I mean?

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Speaker 1: What's music man? Oh Man seventy six strum bones you

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Speaker 1: know what I mean. I don't know. Oh, man, yeah,

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Speaker 1: I have no idea the school. Yeah music, man is

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Speaker 1: a musical. That's that's far. That's all I know. And

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Speaker 1: that's what I used to say in college to look

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Speaker 1: like I like musicals. Okay, oh you know what I

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Speaker 1: like Greece. The movie That's a Whiz is cool. Yeah, man,

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Speaker 1: what the man? I don't think. I then I do

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Speaker 1: like musicals. I like very specific musical blues brothers now

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Speaker 1: that I think about it is a musical they break

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Speaker 1: out in song. Yeah, well we just I just stepped

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Speaker 1: on my own, dick. I think, I think. I think

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Speaker 1: what you said is you like good musicals. Oh yeah,

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Speaker 1: I guess I'll have to see. Maybe all this to

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Speaker 1: say is I'm put off by the cost and how

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Speaker 1: hard it is get tickets to Hamilton's. So look, if

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Speaker 1: somebody has the wild hook up, then yeah, like great,

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Speaker 1: I'll be your plus one could take me. I think

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Speaker 1: Hamilton's good. Moving on to yeah, look at you. Maybe

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Speaker 1: that's what it is. It just seems so exclusive. That's

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Speaker 1: part of I think partially feeding my like like, I'm

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Speaker 1: not feeling it, but I knew all the words before

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Speaker 1: I saw it. Because of the soundtrack, because the soundtrack

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Speaker 1: is like, if you're thinking about spending the money, listen

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Speaker 1: to the soundtrack because it's the whole thing. There's like

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Speaker 1: nothing that is not wrapped, so you hear the entire story.

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Speaker 1: And uh, if you like this soundtrack thing and like

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Speaker 1: the musical, but if you don't, yeah, don't don't spend

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Speaker 1: the money. What is a myth? What's something people think

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Speaker 1: is true? You know to be false? That the Russian

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Speaker 1: of his investigation as a witch hunt. Okay, and that

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Speaker 1: sounds like something you guys go deep on. Yeah, well occasionally,

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Speaker 1: I mean, but never to a But I've been saying

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Speaker 1: more specifically, I can put a final point on it,

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Speaker 1: because you could go in a million different directions on

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Speaker 1: this huge subject. But this idea that the new Attorney

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Speaker 1: General Bar is going to be in the bag for

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Speaker 1: the president, I think it's actually the exact opposite. I

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Speaker 1: think Bar is an instrument of Rosenstein and Maller, and

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Speaker 1: I think that memo he wrote was written on purpose

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Speaker 1: to get the job and to get in there and

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Speaker 1: provide a sake or like Bar, despite what you think

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Speaker 1: of his politics as an old boy blue blood Washington,

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Speaker 1: d C. Guy, just like Muller, just like Rosenstein, And

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Speaker 1: they knew that Sessions was leaving months and months and

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Speaker 1: months ago, and they had to have been gaming this out.

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Speaker 1: So my prediction is that he's he will be the downfall,

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Speaker 1: he will be the stop gap when this, when the

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Speaker 1: ship hits the face, he gets to be the hero. Yeah,

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Speaker 1: and for from him selfishly from his point nine years old.

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Speaker 1: He kind of said it his confirmation here. He doesn't

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Speaker 1: give funk. He's there and he probably saw this as

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Speaker 1: a role. Well, I can actually do something good here actually,

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Speaker 1: and his history will look kindly on me. So the

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Speaker 1: idea that he's there because he believes an absolute executive

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Speaker 1: privilege journey that I think that's crap. I think that

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Speaker 1: was for him to get the job. He'll be like,

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Speaker 1: if I do this, they'll forget that I told Bush

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Speaker 1: to partner all those people and the regularistration. They'll forget

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Speaker 1: that I wrote the book on masson carceration, all these

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Speaker 1: other things before. Yeah, yeah, kind of yeah, that nobody's

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Speaker 1: mentioning that Russia. Now Yeah, alright, guys, let's talk about

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Speaker 1: personality tests. Have you guys ever taken personality tests before

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Speaker 1: I made you take this one less Yeah, the Myers

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Speaker 1: Briggs one, like you know BuzzFeed things like which power

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Speaker 1: ranger are you? Ye? Blue ranger? Nice nice man? Uh

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Speaker 1: No personality to I don't know. When I was like

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Speaker 1: six or seventh grade, the guidance counselor gave you a

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Speaker 1: test to figure out what we're going to do for

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Speaker 1: a living. And I don't know what my result was,

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Speaker 1: but basically the response was you're never going to have

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Speaker 1: a boss, which kind of messed with me as a kid. Um,

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Speaker 1: I don't know what that says about my personality, but

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Speaker 1: I'm a prick. You're like, you're fired from every job

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Speaker 1: you had early on. You're like, you're not my fucking boss, Rick,

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Speaker 1: You're like the manager Rick. Everybody has to have a

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Speaker 1: boss named Rick. At uncle it was a little too handsy.

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Speaker 1: What has that held up? Have you never had a boss? Um? No,

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Speaker 1: I've had a boss. How that relationship go? Um? He's

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Speaker 1: in the back here. I hired him for the podcast.

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Speaker 1: I'm joking. So this is making a big claim here.

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Speaker 1: They say most personality quizzes or personality tests are bunk.

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Speaker 1: Try one that's actually scientific and the things that are

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Speaker 1: kind of judges your personality based on our openness to experience, agreeableness, conscientiousness,

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Speaker 1: which is does not mean what I thought it meant

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Speaker 1: in this context negative emotionality and extra version, which yeah,

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Speaker 1: Myers Briggs I think has the extra version thing and

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Speaker 1: it has like different but they're trying to more put

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Speaker 1: you in a bucket. I think that's what this is,

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Speaker 1: like the Myers Briggs like you are this kind of person,

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Speaker 1: you are the explorer or you are the whatever, And

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Speaker 1: this is more like, here's how you rate in these

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Speaker 1: five dimensions. And I think maybe that's probably an easier

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Speaker 1: way because they acknowledge, like you can't just lump, you

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Speaker 1: can't just put people in buckets so cleanly. Yeah, you

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Speaker 1: just have a score of one to a hundred on

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Speaker 1: all of these different continuums. And that seems like a

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Speaker 1: more accurate way than being like you are a baller,

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Speaker 1: you are a worker bee like, well, I don't know,

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Speaker 1: you have boss mentality. Wait, yours didn't say that you're

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Speaker 1: a baller because my mind mind said terminal ballerness. So

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Speaker 1: I'm terminally ballingalding. That's so weird that they called that

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Speaker 1: has nothing to do damn it. I knew one was

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Speaker 1: like do you wear hats all the time? I was like, yes, yeah.

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Speaker 1: And Myers Briggs, which I think a lot of people

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Speaker 1: have taken, has been widely debunked, and so I think

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Speaker 1: this five thirty eight survey is acknowledging that, and acknowledging

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Speaker 1: that a lot of other personality tests have been debunked,

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Speaker 1: and that this one is not as flashy. But it

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Speaker 1: also does seem to have like some sort of indicator

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Speaker 1: of the type of person that you are. But yeah,

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Speaker 1: I mean we scored pretty similarly in a lot of categories.

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Speaker 1: Categories I scored the lowest in negative emotionality twenty one

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Speaker 1: out of a hundred. Yeah, well, I think I was

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Speaker 1: in the twenties as well. So what does that mean

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Speaker 1: negative emotionality? So they say low negative emotionality. People who

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Speaker 1: score on the higher end of this trait are plagued

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Speaker 1: by anxiety, sadness, anger, and conflict. But not you. You

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Speaker 1: whistle while you work, even if the rest of the

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Speaker 1: office is glaring into their fourth cup of coffee. There's

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Speaker 1: such a thing as to be too cheerful, because sadness

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Speaker 1: and anxiety or things that help us learn from our mistakes.

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Speaker 1: But low negative emotionality is generally associated with good things,

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Speaker 1: so yeah, job satisfaction, things like that. There's another side

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Speaker 1: of that coin, like Abe Lincoln was a terminally depressed person.

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Speaker 1: He had chronic depression, and I read a book that

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Speaker 1: speculated that his depression actually made him a better leader,

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Speaker 1: because they've found that people who are depressed are actually

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Speaker 1: in closer touch with reality, and so they're more willing

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Speaker 1: to acknowledge, like negati of things around them, whereas people

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Speaker 1: like me, who scored twenty five out of a hundred

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Speaker 1: on negative emotionality, we have to block out things and

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Speaker 1: so we're just not So basically, it's good to have

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Speaker 1: somebody who is high on negative emotionality to keep you

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Speaker 1: aware of the negative things going on. You know. Interesting,

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Speaker 1: I mean, I don't think, but even as you say that,

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Speaker 1: I do the opposite, Like I don't try and block

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Speaker 1: things out. Like if something bad is occurring, it's like

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Speaker 1: a binary choice to either accept the reality of the

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Speaker 1: situation or resist it by being in denial about it.

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Speaker 1: So I think by accepting whatever reality is helps me

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Speaker 1: to not be so jarred. But I'm like, okay, well

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Speaker 1: that's happening, so that's what it is. Now, let me

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Speaker 1: just maneuver. Now you can't resist it. It's gonna find

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Speaker 1: its way into exactly somehow and you're gonna have to

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Speaker 1: deal with it. Yeah, you you burn more energy trying

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Speaker 1: to be like like, Okay, what's up. Then let's figure

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Speaker 1: this out. Yeah. Something I saw the like where this

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Speaker 1: test immediately jumped into my mind while going through last

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Speaker 1: week headlines was openness to experience, which Miles and I scored,

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Speaker 1: like really scored a high. Miles scored a hundred. I

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Speaker 1: got a ninety six, which is esthetic sensitivity, intellectual curiosity,

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Speaker 1: creative imagination. And they say that, uh, you know, you're

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Speaker 1: basically motivated by new experiences, and like a danger is

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Speaker 1: that you might like abuse drugs or use, like end

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Speaker 1: up with a substance use disorder. So people in trying

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Speaker 1: to debunk this report about Trump telling Cohen to lie

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Speaker 1: about Russia, one of the reporters had been shamed in

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Speaker 1: the past because he like lied or like did some

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Speaker 1: shady things journalistically, the BuzzFeed News reporter, and he was

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Speaker 1: explaining that, like, he used to be a drug user

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Speaker 1: and has since gotten sober, but he's like he basically

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Speaker 1: described it as being part of the same thing he

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Speaker 1: was like, I love the score. So maybe there's this

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Speaker 1: druggish thing in me that still exists. Maybe that was

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Speaker 1: always part of my personality. I love the score. I

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Speaker 1: love the score, particularly when it's from the government. I

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Speaker 1: just got you to give me your own documents, you know,

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Speaker 1: which is like he crawled back to respectability using like foya,

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Speaker 1: you know, and so I'm just hooked on Freedom of

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Speaker 1: Information Act. Yeah, but that's one of the things. The

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Speaker 1: two sides of the coin of openness to experience that

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Speaker 1: they list are like dangerous drugs on the bad side

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Speaker 1: versus like being a really good investigative journalist or lawyer.

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Speaker 1: I'm right, you are the best best. Yeah. So other

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Speaker 1: categories agreeableness, which is pretty self explanatory. Conscientiousness is more

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Speaker 1: just like being aware of your surroundings, being productive, responsible,

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Speaker 1: and organized, which it's not like, scored not too high

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Speaker 1: on that one. Yeah, and then extra version is where

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Speaker 1: we really were different, right, Yeah. I scored seventy nine

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Speaker 1: and I scored thirty eight, so that balances out, you know, yeah,

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Speaker 1: exactly together together it's a hundred and seven. Were off

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Speaker 1: the charts. But yeah, so I don't know, take it.

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Speaker 1: I mean it's it's interesting to take and then when

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Speaker 1: you actually read through, I'm like, there were more, like

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Speaker 1: more than other ones. I'm like, that's a pretty good

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Speaker 1: description of how I see things or whatever. But so

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Speaker 1: when they test what's that thing called the Q rating

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Speaker 1: where they test the likability of stars, where they ask

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Speaker 1: other people basically giving a personality tests for a third

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Speaker 1: party to the public, right familiarity and things like that,

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Speaker 1: I wonder how those questions exactly. Wonder how those questions

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Speaker 1: line up with Yeah, that's interesting. The public always a

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Speaker 1: good judge of character. For instance, Bill Cosby was the

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Speaker 1: most trusted man in America up until like two thousand

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Speaker 1: and seven. It's like, yo, what were we doing? All right,

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Speaker 1: let's take a quick break. We'll be right back. And

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Speaker 1: we're back, And there's an AP article out asking the question,

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Speaker 1: will the Dems nominate someone you've never heard of? What

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Speaker 1: what are the chances of that? They list Julian Castro,

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Speaker 1: Tulsi Gabbert, and then they have Eric Swalwell of California,

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Speaker 1: and they list Beto or for some reason, I guess

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Speaker 1: people you hadn't heard of two years ago. Yeah, and

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Speaker 1: then Pete Buddha Edge is the uh. I don't even

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Speaker 1: know if I'm pronouncing his name right, but Pete Buddha

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Speaker 1: j Edge is kind of the first person I talked about.

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Speaker 1: He is a decorated Navy veteran who was was elected

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Speaker 1: mayor of South Bend, Indiana when he was twenties twenty nine.

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Speaker 1: I think he's thirty six. He's just over the limit

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Speaker 1: to be old enough to run, but he's openly a

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Speaker 1: Rhodes scholar, decorated Navy veteran, and he's pretty compelling. Dude.

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Speaker 1: I've known about him for a couple of years, but

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Speaker 1: he's definitely worth checking out. Yeah, I mean, we'll see.

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Speaker 1: I mean Tulsi Gavitt. I'm still really kind of shocked

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Speaker 1: that she threw her hat out because she has like

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Speaker 1: a real pensiant for embracing a strong man dictator. I

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Speaker 1: don't know anything about her except that Steve Bannon was

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Speaker 1: into her, yeah, and she was like, guys, I think

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Speaker 1: Assad is pretty cool. Like essentially she's like an Assad

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Speaker 1: stand which is very odd. And then she was also

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Speaker 1: had like a ton of anti LGBT stuff, which she

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Speaker 1: has since like cleared up and been like my dad

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Speaker 1: was basically like she sort of said, my dad, he

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Speaker 1: was into all that wacky shit. But she but she

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Speaker 1: but then she tried to walk that back. The way

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Speaker 1: she's disavowed it is by saying that she doesn't think

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Speaker 1: the government should dictate those sorts of things, which still

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Speaker 1: is like, but your personal what do you think? Well,

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Speaker 1: she said, I what, I've changed a lot, and I

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Speaker 1: thank people for helping me grow or whatever. But you

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Speaker 1: know again, but you know, it's early days, so we're

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Speaker 1: seeing all kinds of people jump in. But I think, yeah,

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Speaker 1: it's interesting. There's a lot of dimensions to I think

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Speaker 1: how the Democrats think they might be able to win

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Speaker 1: the White House back, like whether fielding female Canada is

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Speaker 1: good because clearly, like women are like much more engaged

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Speaker 1: than men are in politics right now, if they're going

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Speaker 1: to try and consider that as some kind of force multiplier.

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Speaker 1: But I don't, I don't know. I mean, it's gonna

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Speaker 1: be interesting because I feel like the base is going

422
00:23:32,200 --> 00:23:37,720
Speaker 1: to move towards a female and in someone of color ideally,

423
00:23:38,160 --> 00:23:40,640
Speaker 1: but I feel like if you're just looking at them

424
00:23:40,640 --> 00:23:45,879
Speaker 1: all objectively, like policy aside better or Rouric is the

425
00:23:45,920 --> 00:23:49,080
Speaker 1: most skilled politically to me, like just to his like

426
00:23:49,200 --> 00:23:52,639
Speaker 1: retail politics thing. So it's gonna be interesting to see, like,

427
00:23:52,720 --> 00:23:55,920
Speaker 1: if the momentum catches up behind someone else, how will

428
00:23:56,119 --> 00:24:00,119
Speaker 1: political skill actually combat that or trumpet right right in

429
00:24:00,160 --> 00:24:06,040
Speaker 1: a field of candidates or whatever it is. Yeah, and

430
00:24:06,080 --> 00:24:10,000
Speaker 1: we'll also see how Better does as a national figure,

431
00:24:10,160 --> 00:24:14,040
Speaker 1: because you know, we have fairly limited experience with him

432
00:24:14,080 --> 00:24:17,120
Speaker 1: in that role. Yeah, who's posting about he's all emo

433
00:24:17,280 --> 00:24:22,040
Speaker 1: right now? Yeah? He he was in a hardcore band. Yeah, exactly,

434
00:24:22,440 --> 00:24:24,280
Speaker 1: foss Yeah, I mean you can see it in his

435
00:24:24,320 --> 00:24:27,159
Speaker 1: stage presence, like literally he parades the stage with his

436
00:24:27,280 --> 00:24:30,200
Speaker 1: mic like he's like leading ridge against machine or something.

437
00:24:30,760 --> 00:24:34,600
Speaker 1: I do wonder how that translates because we are now

438
00:24:35,400 --> 00:24:37,960
Speaker 1: we we can no longer claim that we haven't had

439
00:24:38,000 --> 00:24:42,400
Speaker 1: a completely emotionally unstable president of the United States. But

440
00:24:42,720 --> 00:24:46,639
Speaker 1: I do wonder if you know, going from angry to

441
00:24:47,040 --> 00:24:52,159
Speaker 1: super confident scans as more presidential than going from competent

442
00:24:52,280 --> 00:24:55,640
Speaker 1: to down in the dumps like that, just like not

443
00:24:55,960 --> 00:24:58,919
Speaker 1: not saying that that should scan one way or the other.

444
00:24:59,320 --> 00:25:01,960
Speaker 1: I'm sure and servatives will jump on that. I mean, look,

445
00:25:02,000 --> 00:25:05,560
Speaker 1: he's he's a human being who has emotions that fluctuate.

446
00:25:05,720 --> 00:25:07,159
Speaker 1: Here's a question who do you think is gonna be

447
00:25:07,160 --> 00:25:10,880
Speaker 1: the Republican nominee for real? That brings us to our

448
00:25:10,920 --> 00:25:13,359
Speaker 1: next story. I mean, yeah, who setting you up? Jack?

449
00:25:14,680 --> 00:25:19,000
Speaker 1: John Kasik? Who or no? Who is it? No? Trump?

450
00:25:19,040 --> 00:25:21,920
Speaker 1: Wouldn't it? Just it's gonna be Nicky Haley. You think

451
00:25:22,040 --> 00:25:24,920
Speaker 1: that's my money? Yeah, Nicky Haley is going to get

452
00:25:24,920 --> 00:25:27,919
Speaker 1: caught up in this. Uh yeah, because he was the

453
00:25:27,920 --> 00:25:30,600
Speaker 1: head of the transition exactly. A lot of people say,

454
00:25:30,600 --> 00:25:33,480
Speaker 1: like Larry Hogan, who's the mayor or the governor of Maryland?

455
00:25:33,720 --> 00:25:36,879
Speaker 1: I would like to him our governor in Massachusetts is

456
00:25:36,880 --> 00:25:41,679
Speaker 1: the most popular governor in the country approval Republican in

457
00:25:41,720 --> 00:25:46,040
Speaker 1: a highly democratic state, which is insane, Like he can't

458
00:25:46,080 --> 00:25:50,320
Speaker 1: do anything without Charlie Baker. Charlie Baker, what was it was?

459
00:25:50,480 --> 00:25:53,920
Speaker 1: What was Romney's numbers? Like um Romney, I don't know

460
00:25:53,960 --> 00:25:56,280
Speaker 1: what his numbers were, but he always kind of had

461
00:25:56,400 --> 00:25:59,680
Speaker 1: the His rep has been the same like Waffle will

462
00:25:59,680 --> 00:26:02,280
Speaker 1: do anything, you know, like just put your finger in

463
00:26:02,359 --> 00:26:04,679
Speaker 1: a win to find out where his politics are. And

464
00:26:04,720 --> 00:26:06,639
Speaker 1: I think he kind of got elected because of the

465
00:26:06,760 --> 00:26:10,000
Speaker 1: sort of tactician nature of what he could do. He's

466
00:26:10,000 --> 00:26:12,560
Speaker 1: a competent business guy and I think that's why people

467
00:26:12,560 --> 00:26:15,000
Speaker 1: elected him. I'm still kind of shocked that they elected him. Right,

468
00:26:15,080 --> 00:26:17,880
Speaker 1: he tried unseating Kennedy for the Senate seating, he lost there,

469
00:26:17,880 --> 00:26:20,520
Speaker 1: and then he won the governor Right. Well, I will

470
00:26:20,760 --> 00:26:27,360
Speaker 1: state the unpopular opinion that Trump is undefeatable and invincible

471
00:26:27,400 --> 00:26:30,239
Speaker 1: and it's just keep powering through. Do you believe that

472
00:26:30,359 --> 00:26:33,840
Speaker 1: or you? I worry that I tend to be in

473
00:26:34,200 --> 00:26:38,840
Speaker 1: competitive things. I tend to be very pessimistic. Don't you

474
00:26:38,880 --> 00:26:42,520
Speaker 1: see it cracking now though, like with the support, But

475
00:26:42,680 --> 00:26:47,119
Speaker 1: I've seen it cracking for years and nothing has been

476
00:26:47,160 --> 00:26:50,320
Speaker 1: able to unseat him from his like kind of base

477
00:26:50,480 --> 00:26:57,120
Speaker 1: that protects him. Yeah, and we're actually in San Francisco.

478
00:26:57,400 --> 00:27:01,720
Speaker 1: It's Miles and Jack. You want me to say, Yeah,

479
00:27:01,720 --> 00:27:04,960
Speaker 1: it's Miles. Yes, that's me. Hi. Yeah, we just just

480
00:27:05,040 --> 00:27:09,200
Speaker 1: shelled the show, crushed it, bro. Yeah, but we realized

481
00:27:09,640 --> 00:27:13,040
Speaker 1: the news has changed the last few days, and the

482
00:27:13,080 --> 00:27:17,560
Speaker 1: following section of the show we may have to ignore

483
00:27:17,920 --> 00:27:20,040
Speaker 1: or possibly I don't know. I don't think you have

484
00:27:20,080 --> 00:27:21,720
Speaker 1: to ignore it. I think a lot of what we

485
00:27:21,760 --> 00:27:24,359
Speaker 1: say is still valid. But let's tell people would Okay,

486
00:27:24,520 --> 00:27:28,879
Speaker 1: So we're about to talk about the BuzzFeed report uh

487
00:27:29,000 --> 00:27:34,400
Speaker 1: that stated that Michael Cohen had lied to Congress at

488
00:27:34,960 --> 00:27:40,040
Speaker 1: President Trump's direction, that Trump had specifically directed him to lie,

489
00:27:40,600 --> 00:27:45,080
Speaker 1: And then after we recorded what you're about to hear,

490
00:27:45,440 --> 00:27:49,680
Speaker 1: the Special Counsel's office came out and said specifically that

491
00:27:49,680 --> 00:27:53,920
Speaker 1: that hadn't happened. I'm gonna read their refutation word for word.

492
00:27:53,920 --> 00:27:58,080
Speaker 1: They said, Buzzfeeds description of specific statements to the Special

493
00:27:58,080 --> 00:28:03,000
Speaker 1: Counsel's office and characterization of documents and testimony obtained by

494
00:28:03,080 --> 00:28:07,760
Speaker 1: this office regarding Michael Cohen's Congressional testimony are not accurate.

495
00:28:08,320 --> 00:28:13,000
Speaker 1: And BuzzFeed then shot back and said, we stand by

496
00:28:13,000 --> 00:28:15,520
Speaker 1: our reporting and the sources who informed it, and we

497
00:28:15,680 --> 00:28:20,879
Speaker 1: urged the Special Special Counsel to make clear what he's disputing.

498
00:28:21,600 --> 00:28:26,160
Speaker 1: So BuzzFeed's response seems to suggest something that jumped out

499
00:28:26,200 --> 00:28:29,240
Speaker 1: to me about the Special Counsel's statement, which seems to

500
00:28:29,280 --> 00:28:35,040
Speaker 1: be that they're mostly disputing specific statements like wording and

501
00:28:35,200 --> 00:28:41,280
Speaker 1: characterization of how the Special Counsel confirmed that detail. So

502
00:28:41,320 --> 00:28:44,360
Speaker 1: it does seem like maybe they're getting into the weeds

503
00:28:44,400 --> 00:28:48,960
Speaker 1: with regards to, you know, specific details, but the facts

504
00:28:49,000 --> 00:28:52,200
Speaker 1: could remain the same that Cohen was directed to lie

505
00:28:52,240 --> 00:28:54,920
Speaker 1: by the president. Yeah, I mean on some level, it's

506
00:28:54,960 --> 00:28:58,040
Speaker 1: it's hard for me to think that Michael Cohen's lying

507
00:28:58,360 --> 00:29:02,480
Speaker 1: didn't have some level of cordon Asian with the administration. Yeah.

508
00:29:02,520 --> 00:29:04,680
Speaker 1: And I mean unless he's just you know, like like

509
00:29:04,760 --> 00:29:06,840
Speaker 1: a legit criminal, which he is, and he's just never

510
00:29:06,880 --> 00:29:08,720
Speaker 1: going to tell the truth. Like that's just sort of

511
00:29:08,720 --> 00:29:12,120
Speaker 1: how you know, the code of the criminal to be like,

512
00:29:12,160 --> 00:29:16,440
Speaker 1: I'm not going to air him out. But yeah, I think, yeah,

513
00:29:16,440 --> 00:29:19,280
Speaker 1: there's you know, especially the pushback from BuzzFeed to like

514
00:29:19,320 --> 00:29:22,680
Speaker 1: they're doubling down and being like, no, we still stand

515
00:29:22,720 --> 00:29:25,600
Speaker 1: by this, like our reporting is solid. I don't know

516
00:29:25,640 --> 00:29:27,760
Speaker 1: if they're just doing that because they don't want to

517
00:29:27,800 --> 00:29:32,040
Speaker 1: avoid just looking totally foolish, right, I mean, it makes

518
00:29:32,040 --> 00:29:37,320
Speaker 1: sense they went out on a very uh far ledge

519
00:29:37,800 --> 00:29:40,360
Speaker 1: on this one, a very far branch, and you know

520
00:29:40,520 --> 00:29:43,680
Speaker 1: they might be out over their skis as the as

521
00:29:43,720 --> 00:29:47,240
Speaker 1: the saying goes, Um his Ski dad say, yeah, Ski

522
00:29:47,320 --> 00:29:49,560
Speaker 1: Dad says At the same time, I think, you know,

523
00:29:49,560 --> 00:29:52,320
Speaker 1: the conversation that you're about to hear is about what

524
00:29:52,560 --> 00:29:56,000
Speaker 1: would be true if the BuzzFeed report is true, which

525
00:29:56,080 --> 00:29:59,760
Speaker 1: I still think there is a chance it is. Um

526
00:30:00,000 --> 00:30:03,680
Speaker 1: it's just we don't know, you know, what specifically the

527
00:30:03,680 --> 00:30:06,200
Speaker 1: special counsel is saying is or isn't true. We don't

528
00:30:06,240 --> 00:30:10,560
Speaker 1: know if they're pissed because the BuzzFeed story is, you know,

529
00:30:11,040 --> 00:30:14,440
Speaker 1: messing with some specific aspect of some piece of information

530
00:30:14,440 --> 00:30:17,640
Speaker 1: they're trying to corroborate. They don't want we don't know,

531
00:30:17,880 --> 00:30:20,240
Speaker 1: or they don't want to have their hand shown to

532
00:30:20,320 --> 00:30:22,800
Speaker 1: the world because maybe they're trying to make a play

533
00:30:22,880 --> 00:30:26,320
Speaker 1: without having the administration knowing they know this stuff, because

534
00:30:26,400 --> 00:30:30,160
Speaker 1: like we said, as you'll hear, that would be massively

535
00:30:31,200 --> 00:30:34,280
Speaker 1: terrible for the administration because that's like the most concrete

536
00:30:34,480 --> 00:30:39,760
Speaker 1: form of obstruction. So either way, it's a mess. BuzzFeed,

537
00:30:39,800 --> 00:30:43,800
Speaker 1: you burned us, Uh, you burned me, BuzzFeed. But at

538
00:30:43,840 --> 00:30:45,760
Speaker 1: the same time, as you were pointing out, Woodward and

539
00:30:45,800 --> 00:30:48,320
Speaker 1: Bernstein sucked up. Yeah, they also funked up early on,

540
00:30:48,400 --> 00:30:52,000
Speaker 1: and it nearly derailed the Watergate investigation because the Nixon

541
00:30:52,000 --> 00:30:55,800
Speaker 1: administration jumped on them the second they found out like

542
00:30:56,200 --> 00:30:58,600
Speaker 1: there were some details about their reporting that wasn't right,

543
00:30:58,880 --> 00:31:00,920
Speaker 1: and they used that to try and shift the public

544
00:31:00,920 --> 00:31:04,240
Speaker 1: opinion of this whole investigation, and it nearly did work.

545
00:31:05,080 --> 00:31:07,760
Speaker 1: But washing the Washington Post. They did a good job

546
00:31:07,760 --> 00:31:11,240
Speaker 1: of sort of identifying what went wrong, making sure it

547
00:31:11,240 --> 00:31:13,640
Speaker 1: didn't happen again, and and sort of like letting people

548
00:31:13,640 --> 00:31:17,880
Speaker 1: know where where things went wacky. Yes, so you know, again,

549
00:31:18,440 --> 00:31:21,160
Speaker 1: as we've seen since that Mueller's statement has come out,

550
00:31:21,200 --> 00:31:24,959
Speaker 1: everybody in Trump world has used that to jump on BuzzFeed.

551
00:31:25,400 --> 00:31:26,800
Speaker 1: But like you say in the thing, you know, the

552
00:31:26,880 --> 00:31:29,640
Speaker 1: guy one of the right, one of the journalists, has

553
00:31:29,680 --> 00:31:34,280
Speaker 1: had a few oopsies before journalistically, So I think, you know,

554
00:31:34,320 --> 00:31:37,080
Speaker 1: I think there's there's a version where what the what

555
00:31:37,120 --> 00:31:40,360
Speaker 1: the Special Counsel's office is saying is true. And then

556
00:31:40,360 --> 00:31:42,320
Speaker 1: there's also a version where maybe they were a little

557
00:31:42,320 --> 00:31:46,280
Speaker 1: over zealous and like characterizing certain details. But again, I

558
00:31:46,320 --> 00:31:48,440
Speaker 1: think just take this with a grain of salt, and

559
00:31:48,440 --> 00:31:51,200
Speaker 1: we'll just use this as a thought exercise into a

560
00:31:51,360 --> 00:31:55,400
Speaker 1: hypothetical situation which has a very high likelihood of being

561
00:31:55,920 --> 00:31:58,200
Speaker 1: somewhere near the truth. All Right, guys, I have a

562
00:31:58,200 --> 00:32:04,440
Speaker 1: trolley to catch to Seroni uh Ry Serrooni Restaurants, so

563
00:32:04,760 --> 00:32:07,400
Speaker 1: we gotta go, but uh, enjoy enjoy the still a

564
00:32:07,400 --> 00:32:11,440
Speaker 1: great conversation. Uh, and thanks to all the gang who

565
00:32:11,480 --> 00:32:13,800
Speaker 1: came and hung out last night. The live show is

566
00:32:14,520 --> 00:32:17,120
Speaker 1: so much fun. Yeah, you gotta you gotta catch the

567
00:32:17,120 --> 00:32:21,080
Speaker 1: next one if you didn't catch this one. All right, guys, enjoy. Well,

568
00:32:21,160 --> 00:32:27,640
Speaker 1: let's let's talk about that guy. Uh uh. He allegedly

569
00:32:28,080 --> 00:32:33,840
Speaker 1: instructed Michael Cohen too lie about Russia, lie about the Hey,

570
00:32:33,880 --> 00:32:36,120
Speaker 1: we were never doing business with Russia during the campaign,

571
00:32:36,600 --> 00:32:38,480
Speaker 1: you know, saying oh, like that was nothing, you know,

572
00:32:38,600 --> 00:32:40,280
Speaker 1: we don't I mean, it was a thing we talked

573
00:32:40,280 --> 00:32:42,320
Speaker 1: about and it was really nothing, So don't worry about that.

574
00:32:42,400 --> 00:32:44,720
Speaker 1: Nothing really happened. And that was the lie that he

575
00:32:44,800 --> 00:32:48,880
Speaker 1: copped to. So BuzzFeed has a report that says they

576
00:32:49,080 --> 00:32:52,160
Speaker 1: after speaking with people who are in the Special Council

577
00:32:52,200 --> 00:32:55,600
Speaker 1: investigation or people around it who have heard Michael Cohen's

578
00:32:55,640 --> 00:32:58,280
Speaker 1: testimony and things like that, to Robert Mulley, they're like, oh,

579
00:32:58,360 --> 00:33:01,320
Speaker 1: so yeah, Trump told him to lie about it. And

580
00:33:01,360 --> 00:33:04,320
Speaker 1: also Robert Muller has plenty of evidence to back this up,

581
00:33:04,400 --> 00:33:08,600
Speaker 1: whether it's through emails and other like documents where everyone's

582
00:33:08,680 --> 00:33:10,320
Speaker 1: hands are on it, where it's clear to be like

583
00:33:10,520 --> 00:33:13,719
Speaker 1: Donald Trump instructed him to lie to Congress about all

584
00:33:13,760 --> 00:33:16,520
Speaker 1: of this to obscure the facts and to throw the

585
00:33:16,640 --> 00:33:19,320
Speaker 1: investigation off a little bit. Yeah, I think we're discounting

586
00:33:19,320 --> 00:33:22,120
Speaker 1: the fact that whatever Trump's political instincts maybe that have

587
00:33:22,160 --> 00:33:24,240
Speaker 1: gotten him to this point and help him to stay

588
00:33:24,280 --> 00:33:26,840
Speaker 1: teflon when you get down to it, he's not a

589
00:33:26,880 --> 00:33:30,040
Speaker 1: smart guy, right when it comes out of skirting authority,

590
00:33:30,640 --> 00:33:33,480
Speaker 1: He's just this isn't New York real estate. And that's

591
00:33:33,520 --> 00:33:35,320
Speaker 1: how he's treating it, where he can just lean on

592
00:33:35,360 --> 00:33:37,160
Speaker 1: a guy who works for him to go and live

593
00:33:37,240 --> 00:33:41,760
Speaker 1: for him, to congress and perjure himself is I mean,

594
00:33:41,840 --> 00:33:44,200
Speaker 1: he's the exact type of guy who would leave a

595
00:33:44,200 --> 00:33:47,000
Speaker 1: paper trail, or leave an email trail, or talk to

596
00:33:47,080 --> 00:33:48,880
Speaker 1: somebody on a hot mic and not know about it.

597
00:33:48,960 --> 00:33:50,360
Speaker 1: So I think we're going to see a ton of

598
00:33:50,400 --> 00:33:54,320
Speaker 1: physical evidence that we're we're just not even thinking about

599
00:33:54,520 --> 00:33:59,000
Speaker 1: right now. Yeah, this this would be evidence of obstruction though, right,

600
00:34:00,040 --> 00:34:03,440
Speaker 1: has been the thing like, that's not it's not collusion,

601
00:34:03,640 --> 00:34:05,800
Speaker 1: which is the main thing that he said all along.

602
00:34:05,880 --> 00:34:09,919
Speaker 1: So it's still not the the thing, right, it's still

603
00:34:09,920 --> 00:34:12,640
Speaker 1: not the stake in the well. It all depends. I mean,

604
00:34:13,440 --> 00:34:17,920
Speaker 1: the Russia investigation is also about obstruction. It's the same thing.

605
00:34:18,040 --> 00:34:20,680
Speaker 1: What if the obstruction is the collusion, right, you guys

606
00:34:20,719 --> 00:34:23,920
Speaker 1: up on this exa and just the very fact that

607
00:34:24,120 --> 00:34:27,000
Speaker 1: Russia interfered in the election. And then he gets in

608
00:34:27,040 --> 00:34:28,920
Speaker 1: and they're like, well, you gotta obstruct this for us,

609
00:34:29,160 --> 00:34:31,520
Speaker 1: Like that is collusion. How to cover our backs because

610
00:34:31,560 --> 00:34:33,400
Speaker 1: what you want to you know, we have the thing

611
00:34:33,520 --> 00:34:35,600
Speaker 1: over your head too that we can do. And I

612
00:34:35,600 --> 00:34:39,840
Speaker 1: think that's what makes this revelation if true okay, because

613
00:34:39,880 --> 00:34:42,719
Speaker 1: we're we pretend to be journalists on this show. Um

614
00:34:42,800 --> 00:34:45,080
Speaker 1: that if it is the case, then that is like

615
00:34:45,760 --> 00:34:49,720
Speaker 1: exponentially worse than any Watergate funk. Really like what the

616
00:34:49,719 --> 00:34:52,640
Speaker 1: the opponents are talking about. We're talking about opening up

617
00:34:52,960 --> 00:34:57,920
Speaker 1: like administration officials to actually being blackmailed by Russia. Also

618
00:34:58,600 --> 00:35:02,080
Speaker 1: changing policy right ring from Syria announcing that ISIS is

619
00:35:02,560 --> 00:35:05,840
Speaker 1: over and a week later four American soldiers are dead

620
00:35:05,920 --> 00:35:08,040
Speaker 1: because of it. Like this is just insane. We're trying

621
00:35:08,080 --> 00:35:09,879
Speaker 1: to be like, oh yeah, fuck NATO. We don't need NATO,

622
00:35:09,920 --> 00:35:12,799
Speaker 1: like really the thing everything that Putin wants or even

623
00:35:12,840 --> 00:35:14,799
Speaker 1: just like with the sanctions that are going to be

624
00:35:14,840 --> 00:35:18,239
Speaker 1: lifted on old dearra Pasca's companies, like everyone was like,

625
00:35:18,280 --> 00:35:21,480
Speaker 1: what the funk are you doing? Go ahead and invade Montenegro.

626
00:35:21,680 --> 00:35:23,719
Speaker 1: What the hell was that? Right? Like, who told you

627
00:35:23,800 --> 00:35:25,840
Speaker 1: about that? How do you even know that's a country.

628
00:35:25,920 --> 00:35:29,480
Speaker 1: I did read a centrist account of the lifting of

629
00:35:29,480 --> 00:35:33,480
Speaker 1: the sanctions saying that there was a lot of European

630
00:35:34,000 --> 00:35:37,439
Speaker 1: nations pressuring the US to do that because it had

631
00:35:37,760 --> 00:35:41,360
Speaker 1: fucked with the European economy quite a bit, the sanctions

632
00:35:41,400 --> 00:35:44,359
Speaker 1: that we had put on der Pasco. So but yeah,

633
00:35:44,440 --> 00:35:47,839
Speaker 1: the Montenegro thing doesn't make any sense. And also I'm

634
00:35:47,880 --> 00:35:50,640
Speaker 1: not like a Trump supporter, I'm just trying to play

635
00:35:50,680 --> 00:35:53,080
Speaker 1: the devil's advicar. No, no, absolutely, And of course, and

636
00:35:53,320 --> 00:35:55,840
Speaker 1: you know, having those kinds of sanctions on any business

637
00:35:55,960 --> 00:35:58,239
Speaker 1: entity has a knock on effect on anyone else who

638
00:35:58,360 --> 00:36:00,160
Speaker 1: is you know, not have anything to do with that.

639
00:36:00,560 --> 00:36:03,920
Speaker 1: But you know, the thing that I've heard Trump supporters

640
00:36:04,320 --> 00:36:07,960
Speaker 1: say is, oh, BuzzFeed News. These are people who reported

641
00:36:08,000 --> 00:36:13,680
Speaker 1: the um dossier, and that's not been corroborated. And I

642
00:36:13,760 --> 00:36:17,160
Speaker 1: just I think that BuzzFeed News is actually they've been

643
00:36:17,200 --> 00:36:20,560
Speaker 1: the ones who have broken details about the MULA report,

644
00:36:20,680 --> 00:36:23,280
Speaker 1: like months before it's released to the rest of the media.

645
00:36:23,400 --> 00:36:27,000
Speaker 1: So BuzzFeed News actually would be the outlet that you

646
00:36:27,040 --> 00:36:29,799
Speaker 1: would probably have the most faith in when it comes

647
00:36:29,840 --> 00:36:35,120
Speaker 1: to breaking details about what's happening in Louise mention, you

648
00:36:35,120 --> 00:36:38,359
Speaker 1: know what you guys did, Have you discounted her? Kind

649
00:36:38,400 --> 00:36:41,040
Speaker 1: of yeah, but I don't understand why. I don't understand why,

650
00:36:41,040 --> 00:36:43,439
Speaker 1: because it's the same thing. It's like six seven months ago,

651
00:36:43,480 --> 00:36:47,520
Speaker 1: she's reporting these incredibly salacious things like Michael Cohen and Prague,

652
00:36:47,600 --> 00:36:50,520
Speaker 1: and you're starting to see these things come to fruition

653
00:36:50,560 --> 00:36:53,480
Speaker 1: in the mainstream press. Yeah. No, there are definitely things

654
00:36:53,560 --> 00:36:55,759
Speaker 1: that I think we're discounted from her. I think there

655
00:36:55,800 --> 00:36:58,560
Speaker 1: are also things that she said that we're out there,

656
00:36:58,600 --> 00:37:02,000
Speaker 1: but I don't have specific details to back that up.

657
00:37:02,160 --> 00:37:05,920
Speaker 1: So one thing about the attacks about this article have

658
00:37:06,000 --> 00:37:09,239
Speaker 1: been Yes, BuzzFeed they printed the steel docier New King,

659
00:37:09,239 --> 00:37:12,600
Speaker 1: which was like it's been debunked and discredited. Again, not

660
00:37:12,960 --> 00:37:16,560
Speaker 1: not a single thing has actually been debunkedly been things

661
00:37:16,560 --> 00:37:19,719
Speaker 1: that have been yet confirmed and corroborated. Also, the other

662
00:37:19,760 --> 00:37:22,759
Speaker 1: tactics like Michael Cohen's a liar, you're gonna believe this guy.

663
00:37:22,880 --> 00:37:25,000
Speaker 1: They never said in the in the article that their

664
00:37:25,040 --> 00:37:29,840
Speaker 1: source was Michael Cohen. Their sources are people in the

665
00:37:30,120 --> 00:37:34,480
Speaker 1: Special Counsel's office and people that are working on this investigation.

666
00:37:34,560 --> 00:37:38,560
Speaker 1: So it's not that's like such a fucking weird misdirection. Um,

667
00:37:38,920 --> 00:37:42,120
Speaker 1: it's it's it's effective, and I can get you a

668
00:37:42,160 --> 00:37:45,160
Speaker 1: great deal in the Brooklyn Bridge. That was Julian and

669
00:37:45,800 --> 00:37:47,000
Speaker 1: I would love to and be like, all right, then

670
00:37:47,000 --> 00:37:48,719
Speaker 1: give me a deal in the Brooklyn Bridge. Yeah, and

671
00:37:48,719 --> 00:37:52,640
Speaker 1: he's like okay, ship. But the reporter has said that

672
00:37:52,719 --> 00:37:55,759
Speaker 1: Cohen wasn't a source for the story, let alone the

673
00:37:55,880 --> 00:37:59,240
Speaker 1: source for the story. He's not even one of their sources.

674
00:37:59,320 --> 00:38:02,560
Speaker 1: They're going off of things that the Mueller investigating. And

675
00:38:02,560 --> 00:38:05,520
Speaker 1: I mean, clearly this is patently false, this report in

676
00:38:05,600 --> 00:38:10,520
Speaker 1: BuzzFeed because when uh was Hogan Gidley, Uh, the deputy

677
00:38:10,520 --> 00:38:13,200
Speaker 1: Press secretary for the White House, he went on Fox

678
00:38:13,520 --> 00:38:17,880
Speaker 1: and Friends to to just totally deny all these accusations

679
00:38:18,120 --> 00:38:20,239
Speaker 1: and just listen to the confidence in this man's voice

680
00:38:20,280 --> 00:38:23,560
Speaker 1: and his unequivalent like the way he answers makes me

681
00:38:23,640 --> 00:38:25,400
Speaker 1: sort of believe in the White House. Again, let's just

682
00:38:25,440 --> 00:38:29,080
Speaker 1: hear this. This is just another and ridiculous charges without

683
00:38:29,160 --> 00:38:33,000
Speaker 1: any corroboration. Did not tell Michael Cohen to do that.

684
00:38:33,680 --> 00:38:35,640
Speaker 1: I'm telling you right now, this is exactly why the

685
00:38:35,640 --> 00:38:39,319
Speaker 1: President refuses to give any credence or credibility to news

686
00:38:39,360 --> 00:38:43,160
Speaker 1: outlets because they have no ability to corroborate anything they're

687
00:38:43,160 --> 00:38:47,120
Speaker 1: putting out there. Instead, they're just using innu window. And

688
00:38:47,280 --> 00:38:50,719
Speaker 1: that was not a denial of my question, no, but

689
00:38:50,719 --> 00:38:55,960
Speaker 1: but but the premise is ridiculous. Dude, can't even lie.

690
00:38:55,719 --> 00:38:57,719
Speaker 1: He's like, he's like, look, man, don't don't make it

691
00:38:57,719 --> 00:39:00,120
Speaker 1: hot for me. I can't lie. Now, go to Joe

692
00:39:00,320 --> 00:39:02,520
Speaker 1: that was on Fox and Friends. That was on Fox. Yeah,

693
00:39:02,560 --> 00:39:05,480
Speaker 1: Fox and Friends is fucking sticking it too, because I

694
00:39:05,480 --> 00:39:09,040
Speaker 1: think at some point to like they as much as

695
00:39:09,040 --> 00:39:11,759
Speaker 1: they like to troll and ship and like, I don't know,

696
00:39:11,800 --> 00:39:14,000
Speaker 1: it's weird attain there are certain things that people on

697
00:39:14,040 --> 00:39:16,480
Speaker 1: Fox are not willing to do. Like suddenly like Judge

698
00:39:16,520 --> 00:39:20,280
Speaker 1: Napolitano is acting like he knows the law. But yeah,

699
00:39:20,440 --> 00:39:23,520
Speaker 1: it just shows you Like it's like you're saying, Jake,

700
00:39:23,600 --> 00:39:26,879
Speaker 1: like there's even what you normally Fox have been like, yeah,

701
00:39:26,880 --> 00:39:29,960
Speaker 1: there's total bullshit whatever, blah blah blah. Like even the

702
00:39:30,000 --> 00:39:34,239
Speaker 1: fucking anchors are like that was They're not even being like, Okay,

703
00:39:34,280 --> 00:39:37,000
Speaker 1: thanks for that, and now our story are whales having

704
00:39:37,040 --> 00:39:39,279
Speaker 1: sex with our children? You know what I mean, Like,

705
00:39:39,320 --> 00:39:41,759
Speaker 1: it's how they would normally do it, but now they're

706
00:39:41,800 --> 00:39:43,719
Speaker 1: like pressing people in the White House to be like

707
00:39:43,800 --> 00:39:46,600
Speaker 1: that's not an answer. Yeah, that seems like a total shift.

708
00:39:46,640 --> 00:39:50,240
Speaker 1: Where does that come from? Because they're totally ratings driven,

709
00:39:50,640 --> 00:39:54,080
Speaker 1: you know, like they know their their audience is riding

710
00:39:54,120 --> 00:39:57,040
Speaker 1: for Trump, so there must be some data they're getting

711
00:39:57,080 --> 00:40:00,239
Speaker 1: that is pointing them, is giving them the Okay, think

712
00:40:00,239 --> 00:40:04,359
Speaker 1: it's the popularity ratings of Trump that they're seeing that

713
00:40:04,440 --> 00:40:07,719
Speaker 1: he he's becoming less popular because of the shutdown, And

714
00:40:08,440 --> 00:40:12,279
Speaker 1: I think that has to figure into how they go

715
00:40:12,360 --> 00:40:15,120
Speaker 1: into these interviews. And you know, I don't think it

716
00:40:15,160 --> 00:40:18,120
Speaker 1: can be just the shutdown, right, but yeah, and Sir

717
00:40:18,280 --> 00:40:21,680
Speaker 1: prews er Dona Josane was pointing out that directing people

718
00:40:21,680 --> 00:40:24,560
Speaker 1: to live for him was one of the first articles

719
00:40:24,600 --> 00:40:28,920
Speaker 1: of impeachment or the first article of impeachment for Richard Nixon,

720
00:40:29,400 --> 00:40:32,719
Speaker 1: who did get in trouble. I think in the end

721
00:40:32,880 --> 00:40:36,960
Speaker 1: if well, yeah, but now Democrats are pissed about this,

722
00:40:36,960 --> 00:40:40,360
Speaker 1: this reporting, and they're like they're like, look, Trump resign

723
00:40:40,440 --> 00:40:43,960
Speaker 1: or be impeached. Now, sure they're always going to say that,

724
00:40:44,200 --> 00:40:47,160
Speaker 1: but like to your point about William Barr. It's interesting

725
00:40:47,200 --> 00:40:50,279
Speaker 1: because earlier last or last week, when he was during

726
00:40:50,280 --> 00:40:53,120
Speaker 1: his confirmation hearings, he was being asked directly about this

727
00:40:53,200 --> 00:40:55,759
Speaker 1: kind of behavior from the president. So allow me to

728
00:40:55,880 --> 00:40:59,840
Speaker 1: play a clip of Amy Klobuchar trying to get William

729
00:41:00,000 --> 00:41:02,880
Speaker 1: Are to articulate what he believed obstruction of justice was.

730
00:41:03,400 --> 00:41:06,160
Speaker 1: You wrote on page one that a president persuading a

731
00:41:06,200 --> 00:41:13,480
Speaker 1: person to commit perjury would be obstruction. Is that right? Yes? Okay?

732
00:41:13,560 --> 00:41:16,320
Speaker 1: Or any any well, you know, any person who persuades

733
00:41:16,360 --> 00:41:19,719
Speaker 1: another okay. You also said that a president or any

734
00:41:19,760 --> 00:41:23,759
Speaker 1: person convincing a witness to change testimony would be obstruction.

735
00:41:24,080 --> 00:41:28,400
Speaker 1: Is that right? Yes? Okay? And on page two you

736
00:41:28,440 --> 00:41:31,919
Speaker 1: said that a president deliberately impairing the integrity or availability

737
00:41:31,920 --> 00:41:36,760
Speaker 1: of evidence would be an instruction. Is that correct? Yes? Okay?

738
00:41:36,840 --> 00:41:38,880
Speaker 1: And you wrote on page one that if a president

739
00:41:38,960 --> 00:41:45,120
Speaker 1: knowingly destroys or alters evidence, that would be obstruction. Yes.

740
00:41:46,719 --> 00:41:50,279
Speaker 1: So what hasn't drafted a misleading statement to conceal the

741
00:41:50,320 --> 00:41:53,200
Speaker 1: purpose of a meeting? Would that be obstruction? Again? You know,

742
00:41:53,280 --> 00:41:55,920
Speaker 1: I'd have to know that, I'd have to know this specific.

743
00:41:56,000 --> 00:41:58,439
Speaker 1: I got too specific for you said, you're talking about

744
00:41:58,480 --> 00:42:05,560
Speaker 1: that oh the Russian not I was asking the question

745
00:42:05,640 --> 00:42:09,680
Speaker 1: whether she like had a like, whether whether BuzzFeed News

746
00:42:09,680 --> 00:42:11,680
Speaker 1: tipped her off. But you were saying that. Lindsay Graham

747
00:42:11,719 --> 00:42:15,520
Speaker 1: also was kind of even Lindsay Graham is pushing him

748
00:42:15,520 --> 00:42:17,799
Speaker 1: for the same answer, but he does it with a

749
00:42:17,800 --> 00:42:21,480
Speaker 1: different motivation. But again, even Lindsay Graham, Okay, you know,

750
00:42:21,600 --> 00:42:24,600
Speaker 1: Trump's number one pet in the Senate is also not

751
00:42:24,680 --> 00:42:27,480
Speaker 1: helping his case. So if there was some reason to

752
00:42:27,520 --> 00:42:31,360
Speaker 1: believe that the President tried to coach somebody not to

753
00:42:31,480 --> 00:42:36,040
Speaker 1: testify or testify falsely, that could be obstruction of justice, yes,

754
00:42:36,160 --> 00:42:40,200
Speaker 1: under that under an obstruction strategre. So if if there's

755
00:42:40,239 --> 00:42:43,920
Speaker 1: some evidence that the president tried to conceal evidence, that

756
00:42:44,000 --> 00:42:47,840
Speaker 1: would be obstruction of justice potentially. Right, see that, that

757
00:42:47,880 --> 00:42:50,400
Speaker 1: that tells me they're they're looking, Graham's looking for the

758
00:42:50,480 --> 00:42:52,680
Speaker 1: off ramp. How do we get rid of this maniac

759
00:42:53,120 --> 00:42:56,000
Speaker 1: but maintain our base? Like so it's all about, like,

760
00:42:56,080 --> 00:42:58,279
Speaker 1: you know, we were trying with this guy, you know,

761
00:42:58,400 --> 00:43:01,239
Speaker 1: or whatever the calculation is. These guys, despite what we

762
00:43:01,239 --> 00:43:04,399
Speaker 1: think of them, they're not stupid. We're not talking about

763
00:43:04,440 --> 00:43:07,440
Speaker 1: the House, we're talking about the Senate, you know, a

764
00:43:07,480 --> 00:43:11,799
Speaker 1: little higher intellectual. They just play one on tea. They

765
00:43:11,880 --> 00:43:14,719
Speaker 1: just have their own selfish motivations in mind make them

766
00:43:14,719 --> 00:43:17,080
Speaker 1: appear to be idiotic. I mean, I think, but even

767
00:43:17,120 --> 00:43:18,920
Speaker 1: with Lindsay Graham, his questioning was sort of going in

768
00:43:18,920 --> 00:43:22,120
Speaker 1: the direction of love, sort of well, firing James Comey

769
00:43:22,200 --> 00:43:24,640
Speaker 1: is an obstruction, right was He was trying to walk

770
00:43:24,719 --> 00:43:26,480
Speaker 1: him down that path to be like, well, you know,

771
00:43:26,520 --> 00:43:31,279
Speaker 1: the Comy firing is fine, but I think inadvertently, yeah,

772
00:43:31,280 --> 00:43:35,440
Speaker 1: he's like, okay, but asking people to commit perjury, okay, cool,

773
00:43:35,640 --> 00:43:38,520
Speaker 1: so we'll see. You know. I think as things progress

774
00:43:38,560 --> 00:43:40,680
Speaker 1: and the shutdown gets worse and the numbers for the

775
00:43:40,719 --> 00:43:44,480
Speaker 1: GOP get worse and worse, you figure somebody has to realize, like,

776
00:43:44,560 --> 00:43:47,840
Speaker 1: this thing is going to eventually like smash into a

777
00:43:47,920 --> 00:43:51,680
Speaker 1: wall pun intended, uh that, you know, and we can't

778
00:43:51,680 --> 00:43:53,520
Speaker 1: come back from it. But I don't know that these

779
00:43:53,520 --> 00:43:56,520
Speaker 1: people also might really think that they are able to

780
00:43:56,680 --> 00:43:59,719
Speaker 1: just you know, conduct business like this and people will

781
00:43:59,719 --> 00:44:01,960
Speaker 1: just get right back on board no matter what happens,

782
00:44:02,040 --> 00:44:05,480
Speaker 1: which is insane to think, all right, we're gonna take

783
00:44:05,560 --> 00:44:18,080
Speaker 1: another quick break, we'll be right back, and we're back.

784
00:44:18,480 --> 00:44:23,800
Speaker 1: And speaking of the shutdown. People are now just openly

785
00:44:24,160 --> 00:44:28,640
Speaker 1: talking about the fact that this shutdown is not going

786
00:44:28,719 --> 00:44:32,719
Speaker 1: to end without some sort of massive disaster. They're like, well,

787
00:44:32,800 --> 00:44:36,160
Speaker 1: Democrats are dug in, the president's dug in, and some

788
00:44:36,360 --> 00:44:38,640
Speaker 1: bed ship's going to have to go down for anybody

789
00:44:38,680 --> 00:44:41,680
Speaker 1: to change their mind. Yeah, well, you know, I heard

790
00:44:41,680 --> 00:44:45,440
Speaker 1: it more euphemistically on the news someone said that some

791
00:44:45,560 --> 00:44:49,520
Speaker 1: kind of external event or factor will probably bring people

792
00:44:49,520 --> 00:44:53,040
Speaker 1: to the negotiating table. And at that same guy, Hogan Gidley,

793
00:44:53,080 --> 00:44:54,759
Speaker 1: I think, was the one who said, well, we might

794
00:44:54,800 --> 00:44:57,520
Speaker 1: have to postpone the super Bowl if the shutdown continues

795
00:44:57,560 --> 00:44:59,719
Speaker 1: because we can't secure that. I mean, that would be

796
00:44:59,760 --> 00:45:03,000
Speaker 1: the b Like, does he think that Democrats will be like,

797
00:45:03,080 --> 00:45:06,319
Speaker 1: you're right, because the super Bowl is above all this

798
00:45:06,400 --> 00:45:09,879
Speaker 1: other ship pushing against it was really weird. And also

799
00:45:09,960 --> 00:45:12,160
Speaker 1: when you take into the account that Kirsten Nielsen of

800
00:45:12,360 --> 00:45:14,359
Speaker 1: Home in Security was like, Oh, we have enough people

801
00:45:14,400 --> 00:45:16,360
Speaker 1: to do the State of the Union if we wanted to,

802
00:45:16,760 --> 00:45:20,440
Speaker 1: Like that's fine. So anyway, Yeah, I don't know, I think, uh,

803
00:45:20,520 --> 00:45:22,920
Speaker 1: I mean, it is true. The Democrats don't don't look

804
00:45:22,920 --> 00:45:26,239
Speaker 1: like they're gonna Budge and the Republicans at least there's

805
00:45:26,320 --> 00:45:29,799
Speaker 1: more pressure on them to change because as as the

806
00:45:29,880 --> 00:45:32,640
Speaker 1: optics get, like, you know, it's more and more people

807
00:45:32,680 --> 00:45:36,839
Speaker 1: are now holding the Republicans and specifically Trump responsible for this.

808
00:45:37,360 --> 00:45:39,960
Speaker 1: You know, like Mitch McConnell is like having people like

809
00:45:39,960 --> 00:45:41,919
Speaker 1: show up at his office more and more now, which

810
00:45:42,000 --> 00:45:46,080
Speaker 1: wasn't really the case. So yeah, let's not forget this

811
00:45:46,120 --> 00:45:49,799
Speaker 1: is what Putin wants. Yeah, he wants the disruption, you know,

812
00:45:49,960 --> 00:45:52,480
Speaker 1: and a terrorist attack or a plane going down or

813
00:45:52,520 --> 00:45:55,120
Speaker 1: god forbid, something awful like that. I mean, that's that's

814
00:45:55,160 --> 00:45:56,960
Speaker 1: what our enemies want. That's what this whole thing was

815
00:45:57,000 --> 00:46:00,000
Speaker 1: about from their standpoint, and it's working. It's chaos. Yeah,

816
00:46:00,160 --> 00:46:03,360
Speaker 1: And also like it lessens people's confidence in the government

817
00:46:03,400 --> 00:46:06,319
Speaker 1: as an institution, especially if you work in it. That's

818
00:46:06,360 --> 00:46:07,920
Speaker 1: the same thing. And some people there was like an

819
00:46:07,960 --> 00:46:11,399
Speaker 1: OpEd I forget where it was where some like anonymous

820
00:46:11,400 --> 00:46:14,960
Speaker 1: White House official was like, well, you know, it's probably

821
00:46:14,960 --> 00:46:16,600
Speaker 1: good that a lot of people aren't going to work

822
00:46:16,640 --> 00:46:18,680
Speaker 1: because we can sort of trim the fat on like

823
00:46:18,760 --> 00:46:21,399
Speaker 1: the bureaucracies that we have. I mean, that is kind

824
00:46:21,440 --> 00:46:24,440
Speaker 1: of how he has thought about the government all along,

825
00:46:24,719 --> 00:46:27,280
Speaker 1: and how Republicans have claimed to think about the government

826
00:46:27,320 --> 00:46:29,600
Speaker 1: for years, even though they end up spending more than

827
00:46:29,640 --> 00:46:34,480
Speaker 1: democratic presidencies. The president doesn't give a funk about people

828
00:46:34,560 --> 00:46:40,080
Speaker 1: who he can't see or touch, and he's like insisting

829
00:46:40,160 --> 00:46:44,319
Speaker 1: on getting that money, and like other people suffering is

830
00:46:44,360 --> 00:46:47,520
Speaker 1: not going to impact his decision. The only thing that's

831
00:46:47,520 --> 00:46:51,480
Speaker 1: going to impact his decision is something changing in his world,

832
00:46:51,520 --> 00:46:53,360
Speaker 1: which is just a bunch of TVs to him, to

833
00:46:53,400 --> 00:46:57,279
Speaker 1: conservative media. So yeah, and I mean people like the

834
00:46:57,320 --> 00:47:01,560
Speaker 1: mainstream media is saying, you know, the external event, but

835
00:47:01,719 --> 00:47:03,839
Speaker 1: people on the hill, like The Atlantic had an article

836
00:47:03,880 --> 00:47:05,920
Speaker 1: at the end of last week where they talked to

837
00:47:06,560 --> 00:47:10,440
Speaker 1: you know, Capitol Hill aids and people anonymously and they

838
00:47:10,440 --> 00:47:12,000
Speaker 1: were all like, yeah, so it's either going to be

839
00:47:12,040 --> 00:47:15,279
Speaker 1: a terror attack, a food safety crisis, or you know,

840
00:47:15,440 --> 00:47:18,120
Speaker 1: planes just falling out of the sky, Like it's the

841
00:47:18,160 --> 00:47:20,719
Speaker 1: fucking rapture. So the group that represents all the air

842
00:47:20,760 --> 00:47:24,160
Speaker 1: traffic controllers are saying, like, every week, you're you're raising

843
00:47:24,160 --> 00:47:26,840
Speaker 1: the risk of something bad happening because we have people

844
00:47:27,080 --> 00:47:29,440
Speaker 1: who are coming in with low morale or working overtime

845
00:47:29,560 --> 00:47:31,279
Speaker 1: or things like that to cover from people were calling

846
00:47:31,280 --> 00:47:35,719
Speaker 1: in sick, and the likelihood of someone slipping in their

847
00:47:35,800 --> 00:47:38,960
Speaker 1: job increases with every day this goes on, and when

848
00:47:38,960 --> 00:47:42,279
Speaker 1: you think about how much concentration that job requires, like,

849
00:47:42,360 --> 00:47:45,120
Speaker 1: that's not something you want anybody to have any stress,

850
00:47:45,160 --> 00:47:47,920
Speaker 1: Like you want them to be like getting a massage, sucking,

851
00:47:48,160 --> 00:47:51,239
Speaker 1: just saging the room of essential oils, whatever the funk

852
00:47:51,280 --> 00:47:53,640
Speaker 1: you gotta do to keep these people working. But yeah,

853
00:47:53,719 --> 00:47:56,120
Speaker 1: it is a real scary thing to think about, and

854
00:47:56,239 --> 00:47:58,759
Speaker 1: especially because they're just using this government shutdown as a

855
00:47:58,800 --> 00:48:03,919
Speaker 1: bargaining chip when there's stakes people high man. Yea, Let's

856
00:48:03,920 --> 00:48:08,600
Speaker 1: talk about a couple of big picture stories about America. Uh,

857
00:48:08,760 --> 00:48:11,840
Speaker 1: First of all, the with the opioid crisis. There was

858
00:48:12,000 --> 00:48:15,040
Speaker 1: a report in the New York Times last week that

859
00:48:15,160 --> 00:48:20,080
Speaker 1: stated that basically, doctors that received gifts from big opioid

860
00:48:20,160 --> 00:48:24,080
Speaker 1: and you know, pharmaceutical companies that manufactured opioids were more

861
00:48:24,160 --> 00:48:27,640
Speaker 1: likely to have o d s in their areas. Right. Yeah,

862
00:48:27,680 --> 00:48:31,440
Speaker 1: so it said, uh, the industry spent about forty million

863
00:48:31,480 --> 00:48:36,560
Speaker 1: dollars promoting opioid medications to nearly sixty eight thousand doctors.

864
00:48:36,600 --> 00:48:41,600
Speaker 1: And and so they're saying like things like buying dinners

865
00:48:41,680 --> 00:48:44,480
Speaker 1: or meals or trips or consulting fees. And it said

866
00:48:44,520 --> 00:48:47,480
Speaker 1: for every three additional payments that companies made to doctors

867
00:48:47,480 --> 00:48:50,520
Speaker 1: per a hundred thousand people in a county overdose deaths

868
00:48:50,560 --> 00:48:54,400
Speaker 1: involving prescription opioids. There a year later, we're eighteen percent higher.

869
00:48:54,520 --> 00:48:56,400
Speaker 1: Now they attach the caveat that they say they have

870
00:48:56,440 --> 00:49:00,479
Speaker 1: no way of actually discerning between prescribed painkillers and ones

871
00:49:00,520 --> 00:49:03,680
Speaker 1: that were obtained illegally or on the street, But they

872
00:49:03,719 --> 00:49:06,160
Speaker 1: also go on to talk about that they found that

873
00:49:06,440 --> 00:49:10,799
Speaker 1: counties where doctors received more industry marketing also saw an

874
00:49:10,880 --> 00:49:14,160
Speaker 1: increase in both the number of opioids prescribed and opioid

875
00:49:14,200 --> 00:49:17,120
Speaker 1: related deaths. And they also found that like the meals

876
00:49:17,440 --> 00:49:20,240
Speaker 1: were a greater fact contributing factor than even like trips

877
00:49:20,760 --> 00:49:24,319
Speaker 1: or money actual dollars spent, Like the more dinners they

878
00:49:24,360 --> 00:49:27,040
Speaker 1: went to. I wonder if that's because they get the

879
00:49:27,080 --> 00:49:29,920
Speaker 1: people drunk and then they like commit to doing something.

880
00:49:30,000 --> 00:49:31,839
Speaker 1: And I don't know, I don't know why meals would

881
00:49:31,880 --> 00:49:34,560
Speaker 1: be more persuasive than trip. I think maybe if it's

882
00:49:34,560 --> 00:49:37,000
Speaker 1: a meal, you're it's it's more intimate, and maybe the

883
00:49:37,040 --> 00:49:40,239
Speaker 1: doctor feels more beholden to not disappoint that person because

884
00:49:40,400 --> 00:49:42,719
Speaker 1: like a personal connection, where like trips kind of have

885
00:49:42,840 --> 00:49:45,600
Speaker 1: the out where. A lot of times they'll have like

886
00:49:45,719 --> 00:49:49,080
Speaker 1: cadavers that you can you know, experiment on or work

887
00:49:49,120 --> 00:49:51,880
Speaker 1: with on a trip. They'll be like, you know the

888
00:49:52,000 --> 00:49:56,360
Speaker 1: Vegas convention where you get to like practice injections or

889
00:49:56,400 --> 00:49:59,880
Speaker 1: something like that. Why they do that? Yeah, whoa, that's insane.

890
00:50:00,040 --> 00:50:03,080
Speaker 1: Of the ways pharmaceutical companies get people to come to

891
00:50:03,800 --> 00:50:06,279
Speaker 1: various things is like, we've got some bodies you can

892
00:50:06,320 --> 00:50:13,839
Speaker 1: work with. Who where did they buy those? Uh? Yeah, right, Oh, man,

893
00:50:13,880 --> 00:50:20,400
Speaker 1: I can get you a body. But yeah. Another detail

894
00:50:20,520 --> 00:50:23,400
Speaker 1: that came out in the past a couple of weeks

895
00:50:23,520 --> 00:50:25,879
Speaker 1: is that the Sackler family, who we talked about last

896
00:50:25,920 --> 00:50:28,760
Speaker 1: year in great detail because of a New Yorker report

897
00:50:28,880 --> 00:50:32,960
Speaker 1: on sort of their background of that they're the family

898
00:50:33,000 --> 00:50:38,759
Speaker 1: behind Purdue Pharma and Purdue pharmas the company that manufactured OxyContin,

899
00:50:39,440 --> 00:50:44,160
Speaker 1: and the Sackler family and the founders of Purdue Pharma.

900
00:50:44,680 --> 00:50:47,240
Speaker 1: These two brothers, the Sackler brothers, were the first people

901
00:50:47,280 --> 00:50:52,920
Speaker 1: who basically created the idea of marketing drugs two doctors

902
00:50:53,040 --> 00:50:56,239
Speaker 1: in a way that suggested the marketing was actually like

903
00:50:56,400 --> 00:50:59,279
Speaker 1: scientific and so like they would be like nine out

904
00:50:59,320 --> 00:51:02,640
Speaker 1: of ten study's agreed, and they would do marketing in

905
00:51:02,880 --> 00:51:06,319
Speaker 1: the Journal of American Medicine and you know all like

906
00:51:06,360 --> 00:51:09,919
Speaker 1: the New England Journal of Medicine. So they kind of

907
00:51:10,280 --> 00:51:16,040
Speaker 1: revolutionized the whole way that you market your drugs to doctors.

908
00:51:16,120 --> 00:51:19,719
Speaker 1: And it's been discovered. Now they're mostly known as like

909
00:51:19,760 --> 00:51:24,080
Speaker 1: this philanthropic family that you know has wings of museums

910
00:51:24,120 --> 00:51:28,960
Speaker 1: and has like entire hospitals named after them. But they

911
00:51:29,000 --> 00:51:34,719
Speaker 1: specifically misled investigators on their role in the marketing of

912
00:51:35,120 --> 00:51:39,239
Speaker 1: the opioids. And the videos yeah, like they're like, oh

913
00:51:39,280 --> 00:51:41,399
Speaker 1: my god, I'm not addicted and all my pains gone

914
00:51:41,400 --> 00:51:42,880
Speaker 1: and cut to like a lot of those people who

915
00:51:42,920 --> 00:51:47,040
Speaker 1: gave testimonials like their lives either ended tragically or they

916
00:51:47,080 --> 00:51:50,760
Speaker 1: went through some kind of substance abuse issues. Yes, the

917
00:51:50,840 --> 00:51:53,960
Speaker 1: chickens are coming home to roost for that family. Let's

918
00:51:54,080 --> 00:51:58,560
Speaker 1: talk about So what Miles the there's a story on

919
00:51:58,600 --> 00:52:01,560
Speaker 1: our dock that says, pennsylvan A police need you to

920
00:52:01,640 --> 00:52:07,240
Speaker 1: get fucked up. The cuts Town or Coots Town Borough

921
00:52:07,280 --> 00:52:11,040
Speaker 1: Police Department in Pennsylvania. They put a Facebook post up

922
00:52:11,560 --> 00:52:14,279
Speaker 1: and it says the Custown Police Department is looking for

923
00:52:14,360 --> 00:52:17,480
Speaker 1: three volunteers to assist us in training officers to administer

924
00:52:17,600 --> 00:52:21,360
Speaker 1: standardized field sobriety tests during suspected duy traffic stops. The

925
00:52:21,440 --> 00:52:23,520
Speaker 1: volunteers must be available on April fourth between two and

926
00:52:23,600 --> 00:52:26,480
Speaker 1: thirty and seven pm. Alcohol will be provided, However, you

927
00:52:26,520 --> 00:52:29,279
Speaker 1: will not receive any compensation for your time. In order

928
00:52:29,320 --> 00:52:33,040
Speaker 1: to be eligible, you must meet the below criteria. One

929
00:52:33,200 --> 00:52:35,680
Speaker 1: being good health between the ages of forty with no

930
00:52:35,800 --> 00:52:40,040
Speaker 1: history of drug or alcohol abuse. To that to clean

931
00:52:40,120 --> 00:52:43,680
Speaker 1: criminal history. Three be willing to drink hard liquor to

932
00:52:43,760 --> 00:52:47,279
Speaker 1: the point of inebriation for sign a waiver releasing the

933
00:52:47,280 --> 00:52:50,000
Speaker 1: borough of Cuts down of any liability and have a

934
00:52:50,000 --> 00:52:53,320
Speaker 1: sober responsible party take care and control after the training.

935
00:52:53,840 --> 00:52:56,160
Speaker 1: So they basically just need some stooges to get super

936
00:52:56,200 --> 00:52:59,000
Speaker 1: fucked up and see if you can trick their police officers.

937
00:52:59,000 --> 00:53:00,759
Speaker 1: And I don't know, I mean to be like, we

938
00:53:00,840 --> 00:53:03,520
Speaker 1: got real live fucked up people here for you to

939
00:53:03,600 --> 00:53:06,719
Speaker 1: figure out, you know, I guess just to administer all

940
00:53:06,760 --> 00:53:09,160
Speaker 1: your tests, like the lean back and do the rock away,

941
00:53:09,800 --> 00:53:11,960
Speaker 1: I mean lean back and close your eyes on one foot.

942
00:53:12,160 --> 00:53:13,920
Speaker 1: I can't even do that sober. Yeah, you ever been

943
00:53:13,920 --> 00:53:17,279
Speaker 1: pulled over while driving drunk? No? No, no, I just

944
00:53:17,320 --> 00:53:19,520
Speaker 1: assume you drop drunk. You just seem like that. Oh yeah,

945
00:53:19,640 --> 00:53:22,680
Speaker 1: I mean I got that. Yeah, I mean before uber,

946
00:53:23,440 --> 00:53:25,239
Speaker 1: I think we all did. No, I'm not. I'm not

947
00:53:25,280 --> 00:53:28,040
Speaker 1: proud of that. I don't that. But yeah, I think

948
00:53:28,040 --> 00:53:30,879
Speaker 1: in my younger days I took some risks, but I've

949
00:53:30,880 --> 00:53:32,920
Speaker 1: never been pulled over. Usually I'm pulled over like for

950
00:53:33,000 --> 00:53:37,000
Speaker 1: real bullshit stuff because like I'm in the neighborhood. Some

951
00:53:37,080 --> 00:53:39,360
Speaker 1: a cop doesn't think I should be any like, you know,

952
00:53:39,840 --> 00:53:41,440
Speaker 1: roll roll through the stops on you don't probably got

953
00:53:41,480 --> 00:53:44,160
Speaker 1: any guns, bombs, knife, and I'm like, no, bro, I'm

954
00:53:44,160 --> 00:53:48,040
Speaker 1: gonna pick up my girlfriend. But yeah, it's a it's

955
00:53:48,040 --> 00:53:50,600
Speaker 1: a very yeah like this. After this post went out,

956
00:53:50,960 --> 00:53:55,160
Speaker 1: the community responded. I mean they only needed three people.

957
00:53:55,440 --> 00:53:59,000
Speaker 1: They said fourteen hundred times it was shared and they

958
00:53:59,040 --> 00:54:03,360
Speaker 1: got over like hundreds of people leaving comments almost a thousand.

959
00:54:03,440 --> 00:54:05,080
Speaker 1: We're like, yeah, I'm down to do it. This is

960
00:54:05,080 --> 00:54:07,960
Speaker 1: for a burrow of five thousand people. So most towns

961
00:54:08,000 --> 00:54:10,960
Speaker 1: like ye, a quarter of the fifth of the people. Yeah,

962
00:54:11,160 --> 00:54:16,280
Speaker 1: crazy fifth yeah broom. I just uh yeah, I feel

963
00:54:16,320 --> 00:54:18,640
Speaker 1: like is this a normal thing? Like is that like

964
00:54:18,680 --> 00:54:20,399
Speaker 1: a thing you can sign up for where be like

965
00:54:20,680 --> 00:54:23,720
Speaker 1: I'm looking to get involved in helping the police identify

966
00:54:23,760 --> 00:54:26,799
Speaker 1: inebriated people. Do they have outlets? I think it's part

967
00:54:26,800 --> 00:54:32,080
Speaker 1: of Trump's new for a old federal worker plan, I'd imagine.

968
00:54:32,239 --> 00:54:34,000
Speaker 1: But according to that apparion, they'll be like, it's b

969
00:54:34,200 --> 00:54:37,319
Speaker 1: y O B though, right, Yeah, pull up, fucked up.

970
00:54:37,960 --> 00:54:40,239
Speaker 1: We don't we don't have money to help you. We

971
00:54:40,320 --> 00:54:44,840
Speaker 1: need you to come fucked rubbing alcohol will be provided. Jesus,

972
00:54:44,880 --> 00:54:47,600
Speaker 1: you can't drink that. That is good. I'm glad you've

973
00:54:47,640 --> 00:54:50,360
Speaker 1: mentioned that without cutting you with water, so it's just

974
00:54:50,360 --> 00:54:53,440
Speaker 1: burn your stomach. And then finally, Netflix just had a

975
00:54:53,440 --> 00:54:56,600
Speaker 1: bad week last week. We talked about how they raised prices,

976
00:54:56,680 --> 00:55:01,040
Speaker 1: and now there is a controversy because they have used

977
00:55:01,080 --> 00:55:07,960
Speaker 1: the same real train crash footage multiple times in their movies. Yeah,

978
00:55:08,040 --> 00:55:11,000
Speaker 1: in bird Box and in some other show that I

979
00:55:11,000 --> 00:55:15,640
Speaker 1: had Travelers, they've used footage of a Quebec train crash

980
00:55:15,760 --> 00:55:20,280
Speaker 1: from July six, two thirteen, where unmanned runaway train carrying

981
00:55:20,760 --> 00:55:24,719
Speaker 1: millions of gallons of crude oil derailed and its contents

982
00:55:25,000 --> 00:55:28,560
Speaker 1: caught on fire, and it claimed forty seven lives and

983
00:55:28,680 --> 00:55:31,960
Speaker 1: destroyed more than half of the downtown area of this town.

984
00:55:32,440 --> 00:55:37,600
Speaker 1: And uh, they've just I guess there's some gnarly footage

985
00:55:37,640 --> 00:55:39,759
Speaker 1: of it, and they're like, well that that works for

986
00:55:39,920 --> 00:55:45,640
Speaker 1: bird Box. So people watching bird Box noticed that, you know,

987
00:55:45,719 --> 00:55:50,000
Speaker 1: one of the TV news clips from like when ship

988
00:55:50,200 --> 00:55:54,840
Speaker 1: is going haywire because of the birds the mind birds.

989
00:55:54,840 --> 00:55:57,040
Speaker 1: I don't know, I haven't seen the show, but how

990
00:55:57,080 --> 00:56:01,320
Speaker 1: many birds are in this hypnotism Birds the tricky into

991
00:56:01,640 --> 00:56:04,000
Speaker 1: doing crazy stuff. One of the things they tricked people

992
00:56:04,000 --> 00:56:08,240
Speaker 1: into doing is footage from this actual real life disaster.

993
00:56:08,640 --> 00:56:11,680
Speaker 1: And and I'm sure the outrage what Netflix were they

994
00:56:11,719 --> 00:56:13,480
Speaker 1: just like, sorry, man, it's in there, Like, what are

995
00:56:13,480 --> 00:56:16,239
Speaker 1: we gonna dot one of the best shots in the thing? Yeah?

996
00:56:16,400 --> 00:56:21,359
Speaker 1: No they I'm pretty sure they are not removing it. Yeah,

997
00:56:21,360 --> 00:56:23,400
Speaker 1: if they spent a lot of money producing that, all

998
00:56:23,400 --> 00:56:26,719
Speaker 1: those people like dude, like you know how expensive that

999
00:56:26,719 --> 00:56:32,320
Speaker 1: clip was to license from from a stock Yeah. Yeah.

1000
00:56:32,600 --> 00:56:34,560
Speaker 1: By the time you listen to this, they'll probably have

1001
00:56:34,680 --> 00:56:36,600
Speaker 1: come to their senses. But the fact that there was

1002
00:56:36,680 --> 00:56:40,880
Speaker 1: any resistance at first it is pretty wild. Yeah. I

1003
00:56:40,920 --> 00:56:43,560
Speaker 1: mean that's you know, if you got the budget, like,

1004
00:56:43,600 --> 00:56:46,319
Speaker 1: don't make people relive in actual tragedy because you're too

1005
00:56:46,400 --> 00:56:48,759
Speaker 1: lazy to like just be like Yeah, just use that

1006
00:56:48,960 --> 00:56:53,680
Speaker 1: terrible tragedy as some abstract thing fun. If the Avengers

1007
00:56:53,719 --> 00:56:56,520
Speaker 1: had used like nine eleven footage for cutaway is at

1008
00:56:56,520 --> 00:57:00,239
Speaker 1: the end, it's like, what the funk guys dark? Yeah, yeah,

1009
00:57:00,239 --> 00:57:06,000
Speaker 1: the Fano snap like, oh a bomb footage? Bro? What? Alright? Well, Jake,

1010
00:57:06,080 --> 00:57:08,040
Speaker 1: it has been a pleasure having you, man. Yeah, thanks

1011
00:57:08,120 --> 00:57:10,720
Speaker 1: for having me. I appreciate it. Where can people find

1012
00:57:10,760 --> 00:57:14,600
Speaker 1: you and follow you? Um at this Graceland pod on Twitter,

1013
00:57:14,760 --> 00:57:18,480
Speaker 1: Instagram and Facebook and tell people about the podcast a

1014
00:57:18,480 --> 00:57:22,360
Speaker 1: little bit. It is a music and true crime podcast.

1015
00:57:22,440 --> 00:57:26,000
Speaker 1: So musicians getting away with murder and behaving very badly.

1016
00:57:26,080 --> 00:57:29,120
Speaker 1: So Jerry Lee Lewis getting away with killing his fifth wife,

1017
00:57:30,120 --> 00:57:33,640
Speaker 1: James Brown getting high on meth and blazing through the

1018
00:57:33,760 --> 00:57:38,360
Speaker 1: countryside with a shotgun, Tupac and Biggie Tak forty seven,

1019
00:57:38,760 --> 00:57:43,240
Speaker 1: Kurt and Courtney, rolling Stones, sleeping with Justin Trudeau's mom,

1020
00:57:43,440 --> 00:57:46,840
Speaker 1: all kinds of stuff like that. Yeah, exactly, rolling Stones

1021
00:57:47,160 --> 00:57:51,360
Speaker 1: so real quick. In the seventies, Keith Richards get caught

1022
00:57:51,400 --> 00:57:54,160
Speaker 1: at the border when they were going to record in

1023
00:57:54,280 --> 00:57:57,680
Speaker 1: Montreal with a bunch of heroin and they were doing

1024
00:57:57,720 --> 00:58:02,680
Speaker 1: two club shows and Mick and Ronnie slept with Justin

1025
00:58:02,680 --> 00:58:05,600
Speaker 1: Trudeau's mom, and she's seen she was caught by the

1026
00:58:05,600 --> 00:58:08,400
Speaker 1: paparazzi and she basically was like it was her anniversary

1027
00:58:08,440 --> 00:58:11,040
Speaker 1: with her husband was the premiere at the time, and

1028
00:58:11,080 --> 00:58:13,760
Speaker 1: she was like hanging out at the Ritz Carlton with

1029
00:58:13,840 --> 00:58:17,200
Speaker 1: Mick and Ronnie and they were open about how they

1030
00:58:17,280 --> 00:58:20,520
Speaker 1: slept with her, and it was like it was huge, huge, huge, huge.

1031
00:58:20,640 --> 00:58:23,080
Speaker 1: I thought Justin Trudeau had a big looking mouth. Like

1032
00:58:25,280 --> 00:58:29,400
Speaker 1: Justin Trudeau's dad is Fidel Castro? Like google that Google

1033
00:58:29,440 --> 00:58:31,720
Speaker 1: image the two of them, and then go back and

1034
00:58:31,720 --> 00:58:35,000
Speaker 1: then go back and listen to Justin Trudeau's comments when

1035
00:58:35,080 --> 00:58:38,600
Speaker 1: Castro died. It makes some sense. That's all Wow, that

1036
00:58:38,600 --> 00:58:43,800
Speaker 1: should have been your myth, that that should is that's

1037
00:58:43,880 --> 00:58:48,520
Speaker 1: next level. That's all right. And is there a tweet

1038
00:58:48,520 --> 00:58:52,360
Speaker 1: you've been enjoying whatever are fearless leader's last pile of

1039
00:58:52,400 --> 00:58:54,320
Speaker 1: bullshit that came out of his Twitter? I think it

1040
00:58:54,360 --> 00:58:58,080
Speaker 1: was yeah, yeah, you could just distill that down to

1041
00:58:58,160 --> 00:59:01,400
Speaker 1: him saying I eat pieces of ship for brec. Okay, cool,

1042
00:59:01,480 --> 00:59:04,960
Speaker 1: that makes sense. Yeah, So there you go. Alright, Miles,

1043
00:59:04,960 --> 00:59:07,120
Speaker 1: where can people find you? Like? Find me on Twitter

1044
00:59:07,240 --> 00:59:12,440
Speaker 1: and Instagram at miles of gray. Uh, let's see a

1045
00:59:12,640 --> 00:59:18,400
Speaker 1: tweet I like from Uh, there's one from Ben Rosen

1046
00:59:18,680 --> 00:59:21,920
Speaker 1: at Ben Underscore Rosen. It's a photo of Tucker Carlson

1047
00:59:22,280 --> 00:59:26,120
Speaker 1: from his TV show with a Chiron's Tucker Carson looking

1048
00:59:26,200 --> 00:59:28,600
Speaker 1: very serious, like a screen cap and he's like has

1049
00:59:28,640 --> 00:59:30,640
Speaker 1: like a face like he's trying to ask something, and

1050
00:59:30,680 --> 00:59:34,920
Speaker 1: the kiron reads what does the vagina look like? Because

1051
00:59:34,960 --> 00:59:39,000
Speaker 1: he is really something else? And one more, just like

1052
00:59:39,040 --> 00:59:41,440
Speaker 1: the construction of this. It's an old Todd Glass tweet,

1053
00:59:41,480 --> 00:59:44,640
Speaker 1: but it said, I want your honest feedback. What do

1054
00:59:44,680 --> 00:59:47,000
Speaker 1: you think of this? For a bumper sticker? Get off

1055
00:59:47,000 --> 00:59:49,480
Speaker 1: my ship, asshole, and don't forget to watch my Netflix

1056
00:59:49,520 --> 00:59:52,000
Speaker 1: special Act Happy and I'll be at the Helium Comedy

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00:59:52,040 --> 00:59:55,080
Speaker 1: in Philly January seven, and in Springfield, Missouri at the

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00:59:55,080 --> 00:59:57,880
Speaker 1: Blue Room the week after. Just a great, great, little,

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00:59:58,000 --> 01:00:01,440
Speaker 1: great little joke. Anyone who's stand up comedians on their

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01:00:01,480 --> 01:00:05,480
Speaker 1: podcast can identify yeah that and find me at this

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01:00:05,520 --> 01:00:08,280
Speaker 1: place at this place, and you can find me on

1062
01:00:08,280 --> 01:00:11,280
Speaker 1: Twitter at Jack Underscore. O'Brien a few tweets I've been enjoying.

1063
01:00:11,320 --> 01:00:15,120
Speaker 1: Sarah Bati responded to a variety tweet Variety tweeter r

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01:00:15,200 --> 01:00:18,120
Speaker 1: Kelly dropped by Sony Music. She tweeted, hopefully from a

1065
01:00:18,120 --> 01:00:24,840
Speaker 1: fucking plane. Sharene Lana Unice, co host of Ethnically Ambiguous

1066
01:00:24,880 --> 01:00:28,680
Speaker 1: Great Sister podcast on This Here Network, tweeted, wait, so

1067
01:00:28,720 --> 01:00:30,440
Speaker 1: you're telling me that I have to read the text

1068
01:00:30,480 --> 01:00:34,200
Speaker 1: people send me and respond to them, which I totally

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01:00:34,200 --> 01:00:39,120
Speaker 1: identify with and at sco Okotska tweeted, my husband just

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01:00:39,160 --> 01:00:41,560
Speaker 1: asked for chopsticks to eat with instead of a fork.

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01:00:41,600 --> 01:00:43,680
Speaker 1: I think it's safe to say my work here is done.

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01:00:43,720 --> 01:00:48,560
Speaker 1: Send me another white guy. I won't know what they're eating. Yo.

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01:00:48,600 --> 01:00:50,480
Speaker 1: If you did that to eat some Western food, then

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01:00:50,520 --> 01:00:53,000
Speaker 1: I would be like, Yo, mission accomplished a bagel with

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01:00:53,080 --> 01:00:56,320
Speaker 1: cream cheese. Yeah yeah no, but some things like I

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01:00:56,400 --> 01:00:59,120
Speaker 1: just can't like as a Japanese person, like I cannot

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01:00:59,120 --> 01:01:02,840
Speaker 1: eat with before it just like it's all right. I hope,

1078
01:01:02,880 --> 01:01:06,760
Speaker 1: I hope it was pizza. Uh. You can find me

1079
01:01:06,800 --> 01:01:08,360
Speaker 1: on Twitter at Jack on our score o Brian. You

1080
01:01:08,400 --> 01:01:10,880
Speaker 1: can find us on Twitter at daily Zeitgeist. Were at

1081
01:01:10,920 --> 01:01:13,320
Speaker 1: the Daily Zeitgeist on Instagram. We have a Facebook fan

1082
01:01:13,400 --> 01:01:16,520
Speaker 1: page and a website, Daily zeitgeis dot com, where we

1083
01:01:16,600 --> 01:01:19,680
Speaker 1: post our episodes and our Foot where we link off

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01:01:19,720 --> 01:01:22,120
Speaker 1: to the information that we talked about today's episode as

1085
01:01:22,160 --> 01:01:24,640
Speaker 1: well as the songs that we ride out on miles

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01:01:24,640 --> 01:01:28,880
Speaker 1: with that. Uh. This is actually an oldieu from the

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01:01:29,040 --> 01:01:32,240
Speaker 1: ninety eight album from Uncle Science Fiction, which is a

1088
01:01:32,280 --> 01:01:35,240
Speaker 1: collab between James Level and DJ Shadow Uh, And it

1089
01:01:35,240 --> 01:01:38,320
Speaker 1: has one of my favorite drum samples, like drum breaks

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01:01:38,880 --> 01:01:42,880
Speaker 1: samples in it is blood Stain from Alice Temple and

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01:01:42,920 --> 01:01:45,800
Speaker 1: I think the actual drum break that's in it is

1092
01:01:45,840 --> 01:01:47,800
Speaker 1: from a band called head West if you have all

1093
01:01:47,800 --> 01:01:51,640
Speaker 1: those Dusty Fingers sample records. But anyway, this is blood

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01:01:51,640 --> 01:01:54,760
Speaker 1: Stain from Uncle U n k L from Science Fiction.

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01:01:55,120 --> 01:01:57,080
Speaker 1: All Right, we're gonna write out on that. We will

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01:01:57,120 --> 01:01:59,640
Speaker 1: be back tomorrow because it is a day podcast. We'll

1097
01:01:59,680 --> 01:02:06,680
Speaker 1: talk to you them that Staying on a Blue Lay,

1098
01:02:08,440 --> 01:02:18,760
Speaker 1: Take It to the Shame, Love Tracks on a Strain,

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01:02:20,400 --> 01:02:33,760
Speaker 1: Love Stay No Game