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

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Speaker 1: of their daily sight gays the podcast, when we take

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

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Speaker 1: box Office Reports, TV rating, what's trending on Google and

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Speaker 1: social meds, and what's on ESPN in front of us

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Speaker 1: in this hotel room that we're sitting in. Uh, it's Monday, December. Team,

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Speaker 1: my name is Jack O'Brien a K. Despite all my rage,

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Speaker 1: i am still jacko brian in a cage, uh courtesy

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Speaker 1: and Hannah Saltis, and I'm thrilled to be joined as

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Speaker 1: always by my co host, Mr Miles Ray. I'm in

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Speaker 1: the Zike Gang home Fresh Tricks, Arad, I'm mild praysaka okay,

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Speaker 1: thank you too again at Hanna Salti Soltis, Hannah Saltisimo,

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Speaker 1: Saltissimo for that a K. And we are through to

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Speaker 1: be joined by the hilarious performer and smedian Edgar Momthlesso

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Speaker 1: coming in hot style. Yeah, people who don't know we're

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Speaker 1: in the spech Yeah, we're in Chicago for the Chicago

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Speaker 1: Podcast Festival. Acre you you've done your live show, your

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Speaker 1: live culture kings. Right. It was amazing. Shout out to

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Speaker 1: everybody who came out. It's that gang that came out,

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Speaker 1: the Culture Kingdom that came out. Even the Yo fans

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Speaker 1: that stayed a little bit, thank you for being there.

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Speaker 1: We were walking through the airport, uh and people were

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Speaker 1: just still talking about the show just coming, like getting

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Speaker 1: on planes, getting off planes. Yeah no, yeah, no joke.

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Speaker 1: Even at the lobby of the hotel, they were we

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Speaker 1: got free drinks because of the Culture Gang. That is

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Speaker 1: true for that one. We're going to talk about our

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Speaker 1: super lit and millennial awesome hotel lobby. But first, before

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Speaker 1: we get to know you even better, Edgar, we're gonna

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Speaker 1: talk about what our listeners are in store for. We're

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Speaker 1: gonna talk about Laura Loomer, my hero. We're gonna talk

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Speaker 1: about Airbnb, designing and building homes now, and we'll take

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Speaker 1: that opportunity to tell you about the hotel we're staying in. Uh.

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Speaker 1: It's the Epcot Center version of millennials Uh interest nightmare.

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Speaker 1: We're gonna talk about the shitty white guy high five

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Speaker 1: heard around the world between Putin and MBS. We're gonna

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Speaker 1: talk about the Ethics Agency that is warning federal workers

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Speaker 1: not to discuss the eye word impeachment. Uh, Miles, you're

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Speaker 1: gonna let us know what's going on in the latest

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Speaker 1: on the messy, messy Russian mess We're gonna talk about

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Speaker 1: how new is in the GOP using their brilliant five

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Speaker 1: dimensional chess might have actually fucked themselves. We're gonna talk

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Speaker 1: about berg Geiger finally being charged from murder. We're gonna

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Speaker 1: talk about m hy you study that is uh fairly,

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Speaker 1: I don't know it's it seems like it's a shot

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Speaker 1: fired at Trump supporters. We'll talk about it, and then

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Speaker 1: we'll talk about all this weird seismic activity out here. Guys,

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Speaker 1: you see seeing this, you heard about this. But first, Edgar,

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

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Speaker 1: who you are? Let me look, I have not looked

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Speaker 1: at my search history in a minute. All right, here

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Speaker 1: we go, and if there's anything weird going on with sound, guys,

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Speaker 1: bear with us. We are in a hotel room. We

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Speaker 1: have I'll take I'll take pictures so you can see it.

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Speaker 1: You can foldable table and we have a door open

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Speaker 1: so security comes in and goes. I heard people screaming

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Speaker 1: in here. So the last thing I searched was not

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Speaker 1: a black woman. I can't think Earl sweatshirt and as

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Speaker 1: just a lyric from one of his songs, a Zookar

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Speaker 1: from his new album, Yeah, some rap songs, I know.

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Speaker 1: I texted you and I was like, hey, are you

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Speaker 1: in Chicago? And I'm like, what are you doing? You're like,

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Speaker 1: I'm listening to Earl on fucking on loop. Man. I

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Speaker 1: woke up by six in the morning, put on my beats,

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Speaker 1: and I've just been listening to that album nons. Wait,

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Speaker 1: did you find your headphones? Yeah? My uber driver came

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Speaker 1: back and gave them to me. Okay, because I remember

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Speaker 1: this was a little bit of a fiasco on Twitter.

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Speaker 1: You said someone offered you some wired ones. You're like,

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Speaker 1: I'm wireless, ma, man, Yeah, that's crazy, bro, I have

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Speaker 1: an excess. I can't didn't even the the box didn't

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Speaker 1: even come with the dongle. That's how much they don't

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Speaker 1: give a funk about wires anymore. They want everyone to

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Speaker 1: look like Jack and have them fucking pods in their ears.

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Speaker 1: The wireless life. That's right. Wait, so, and what did

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Speaker 1: the search relate to? That's a lyric in one of

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Speaker 1: his songs. And I was trying to make a tweet

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Speaker 1: where I thanked all these like black women that were

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Speaker 1: in my life with a collage. I want to make

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Speaker 1: sure I got the lyric right. Tweeted it. But all

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Speaker 1: the people are liking it, but I don't think that

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Speaker 1: they know it's from an Earl Sweatshirt song because I

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Speaker 1: think his album is gonna go a little bit unnoticed

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Speaker 1: because Meek dropped an album today. Jay Z's on it,

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Speaker 1: jay Z fucking yeah did that track that people think

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Speaker 1: is dissing? Uh? Kanye and fucking Chance dropped two songs today.

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Speaker 1: So I feel like Earl's gonna get buried a little bit,

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Speaker 1: you know what I'm saying, Which sucks because he delayed

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Speaker 1: this album by a whole year, right, just to make

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Speaker 1: sure he got it right. Nah, he was gonna give

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Speaker 1: it to his dad, this album, and then his dad

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Speaker 1: died and then that kind of like this fun with him. Yeah,

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Speaker 1: that's horrible. Yeah, I loved Doris. Uh, I don't like Ship.

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Speaker 1: I Don't Go Outside was a little too dark for me. Well,

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Speaker 1: are you not gonna like this album? For the low

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Speaker 1: energy mob yea, this is very low energy for the

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Speaker 1: opening track, You're like, the energy is so low, but

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Speaker 1: you're like, this man has been in the lab. He's

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Speaker 1: not even rapping on beat. Yeah yeah, he's just like,

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Speaker 1: this is what you got, I've been here. What is

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Speaker 1: something you think is overrated? Well, not let him in Chicago.

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Speaker 1: I want to make this very Chicago specific. Deep dish

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Speaker 1: pizza bro overrated. Jakis took me to a deep dish spot.

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Speaker 1: I believe it was called Giraldies or something like that.

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Speaker 1: He thought it was gonna be a fun time. I

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Speaker 1: did give it an eight out of ten. I thought

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Speaker 1: it was good pizza, but overrated. I mean, Chicago pizza

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Speaker 1: don't come nowhere close to New York pizza. I think

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Speaker 1: the average New York spot is a better pizza than

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Speaker 1: the best Chicago deep dish spot. My mama, mama, that's on.

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Speaker 1: That's you're making that claim. I will, you know. I

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Speaker 1: don't want to get flamed by the Chicago the people

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Speaker 1: of Chicago, but I think I think like deep dishes,

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Speaker 1: it sort of its own thing. Even Chicago people don't

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Speaker 1: really ride for deep dish. They're like, oh, it's Chicago

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Speaker 1: pizza is not really deep dish. When it's just deep

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Speaker 1: dishes its own separate thing, and we don't like it

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Speaker 1: that much. It's different, right, wasn't you keep saying Chicago

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Speaker 1: pizza is more like or to him it was more

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Speaker 1: the like flat the what do you call that thin

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Speaker 1: crust pizza kind of squares. Yeah, and they make the

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Speaker 1: point that it's basically like a keish. It's like so

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Speaker 1: thick wit So why don't you like just because of

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Speaker 1: the pure Yeah, it's just messy as hell, bro, Like,

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Speaker 1: it's just not I don't find it to be a

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Speaker 1: very good pizza. Find it to be very messy. I

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Speaker 1: like that. Here, give me more words. You can't just

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Speaker 1: say messy like it it's a texture, salt content. I mean,

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Speaker 1: it's not the salt. It's like you bite into it

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Speaker 1: and then it just spills everywhere, sauce everywhere, you know

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Speaker 1: what I'm saying. And like a New York slice, it

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Speaker 1: is nice, it's consistent, you folded, you eat it. What's

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Speaker 1: your favorite New York pizza? Plus? Uh, listen, truly any

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Speaker 1: little bodega, like any place you can just walk in

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Speaker 1: and grab I mean going to Napoles a lot in

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Speaker 1: uh in Yonkers, right there on on the main streem Yonkers.

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Speaker 1: You're just walking there, drop a doll, and we get

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Speaker 1: it too hot. Don't get too hot and burn the

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Speaker 1: ship out of your mouth. No exactly, And I feel like,

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Speaker 1: here we gotta slice the other day and I was like,

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Speaker 1: this is a slice of pizza here. I don't know.

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Speaker 1: I don't know, man, I'm not trying to take shots

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Speaker 1: in Chicago. I'm just saying that, like to take shots

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Speaker 1: and talk about the pizza. It's kind of wat alight

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Speaker 1: on your way out of town right now? Yeah, ye,

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Speaker 1: Luckily this episode won't come out too it's too late.

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Speaker 1: What is something you think is underrated? Now? I want

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Speaker 1: to also shout out Chicago and I want to say

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Speaker 1: the Navy Pier is underrated. What a fucking beautiful spot.

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Speaker 1: And I think it's better than New York's pier. Okay,

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Speaker 1: you're really bringing balance to the forest. I am. I went,

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Speaker 1: we went, We did the fucking Centennial. Uh what does

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Speaker 1: that centennial wheel? Could see the entire Chicago skyline. I

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Speaker 1: also think the Chicago skyline is underrated. I mean, how

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Speaker 1: do you put it up against New York though? See,

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Speaker 1: I think New York skyline too many of the buildings

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Speaker 1: look similar versus I think Chicago has that diverse skyline

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Speaker 1: like there's different kinds of looking buildings in terms of

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Speaker 1: style of architecture and stuff like that. I'm also distracted

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Speaker 1: right now because James Harden has fooled the NBA rest

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Speaker 1: into getting him one of the craziest fal calls I've

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Speaker 1: ever seen. Uh, this is insane. He's an artist, he's

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Speaker 1: in target as an artists a flap artist. Um. But like, yeah, no,

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Speaker 1: I think that there's just so much Like we showed

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Speaker 1: me this one building that was like super old, very

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Speaker 1: gothic looking, and then right next to it was one

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Speaker 1: of the most futuristic buildings I've ever seen in my life.

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Speaker 1: And that's why I think it's really cool about Chicago's architecture. Yeah,

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Speaker 1: it's kind of all over the place. You guys also

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Speaker 1: went to the Bean together to the sounds super romantic.

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Speaker 1: I'm not gonna lie to you guys, and you like

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Speaker 1: recorded the whole thing. We recorded the whole thing is

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Speaker 1: a very weird episode. I'm very interested to see how

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Speaker 1: fans react to this episode. But i mean, look, man,

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Speaker 1: we were in Chicago. We thought it would be nice

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Speaker 1: to just go to all the classic date spots and

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Speaker 1: I'm saying, did you take a picture of yourself in

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Speaker 1: the reflection of the bean did And I think it's

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Speaker 1: gonna be the title episode, so look out for that

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Speaker 1: adorable thank you man? Uh yeah, man. I love. The

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Speaker 1: thing I like most about New York is like when

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Speaker 1: you're down, like have you been to Dumbo and like

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Speaker 1: plays like that where you're like next to those bridges,

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Speaker 1: Like that feels like it's like, I don't know, you

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Speaker 1: could have bought a place down in Dumbo for a

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Speaker 1: one million back. That's I always talk about. And then

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Speaker 1: how much does that place worth now? And how you

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Speaker 1: feeling dumbos? Uh? And finally, what's a myth? What's something

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Speaker 1: for most people think it's true that you know to

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Speaker 1: be false? Well, I think you know, I'm gonna try

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Speaker 1: to keep with Chicago and uh. A myth that I

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Speaker 1: think they have is that Kanye West is the best

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Speaker 1: rapper out of Chicago. I think that's a big myth

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Speaker 1: that people have, and I think that's nowhere near the truth.

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Speaker 1: For me, it would probably be common. I think Common

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Speaker 1: is the best, and of course old common and being

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Speaker 1: looked you know, common, chocolate, common, electric, circus, Yeah, not

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Speaker 1: not universal mind control common. I do think that he's

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Speaker 1: like a much like better lyricist in Kanye West, which

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Speaker 1: is why I think B is like the better Kanye

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Speaker 1: album in terms of better I mean Kanye because his production,

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Speaker 1: his production is so good on it. But then Common

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Speaker 1: can bring in that very good LYRICI yeah, because that

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Speaker 1: was like peak, that was what year was comedy? That

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Speaker 1: was what two thousand five? Oh my god? Yeah, so

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Speaker 1: you're coming right off that fucking college dropout song on

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Speaker 1: that the Food they had Kanye on it and they

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Speaker 1: did a live performance Season one of Chapelle. I wish

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Speaker 1: I could give you this feeling. I wish I could

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Speaker 1: give you this feeling. Yeah. I think that that's like

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Speaker 1: a very common especially because like common myth, huh, I

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Speaker 1: see the work I'm putting in exception, But like, yeah,

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Speaker 1: I think that Kanye gets, like, you know, to be

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Speaker 1: Chicago's son, and I'm like, why ignore this very good rapper?

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Speaker 1: Who do you? Well? How do you feel about everybody else?

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Speaker 1: Though there's a lot of people in that discussion if

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Speaker 1: you're talking about Chicago, I mean, yeah, that's like chance. Uh.

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Speaker 1: I mean, look, everyone knows the best performer to come

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Speaker 1: out of Chicago's r Kelly, but nobody can talk about it,

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Speaker 1: you know, take to wait, hold on. I think he

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Speaker 1: had a performance in Ethiopia or something recently that was

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Speaker 1: so absurd or I just saw it on Freddy gibbs Instagram,

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Speaker 1: which is, yeah, where I get most of my news Freddy,

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Speaker 1: you know, you know what. It had to have been

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Speaker 1: an old one where he was just talking about I

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Speaker 1: just saw a clip of his like did you get

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Speaker 1: your shots? Do you have your passport? Or are you

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Speaker 1: ready to come to America? Like it was the weirdest

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Speaker 1: song ever. That's what I'm saying, bro, he he was

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Speaker 1: a very talented performance. Saw some thirteen year old girl

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Speaker 1: in the front. Yeah, I don't know. I mean he's illiterate,

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Speaker 1: so he can't really write his lyrics now. Yeah, but

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Speaker 1: that's what I'm just saying is like, you know, but

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Speaker 1: I don't think that his skill justifies how trash he is. No,

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Speaker 1: nobody's no. No amount of skill justifies yeah being. Yeah,

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Speaker 1: but I think that there was at I think Chicago

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Speaker 1: has let us know that you can have your father

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Speaker 1: be murdered as long as it really that basketball and

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Speaker 1: that's all all say. She did not have his father murdered.

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Speaker 1: His father was murdered because of his gambling death. That's

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Speaker 1: on him either way, asked him, he would have been like, Nah,

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Speaker 1: please don't. There's people crowding around this hotel room about realizing.

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Speaker 1: So let's get into the stories of the day and weekend.

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Speaker 1: I want to talk about Laura Lumer. This broke after

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Speaker 1: we recorded at the end of last week. After she

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Speaker 1: claimed that Representative elect elan Omar's entire religion was oppressive

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Speaker 1: towards women and gays and Jews. She got banned from Twitter. Uh,

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Speaker 1: and that pissed her off because she's a far right

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Speaker 1: activist and they're supposed to, you know, Jack Dorsey's supposed

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Speaker 1: to be looking out for them us. She began arguing

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Speaker 1: the letter of the law. She was like, everything I

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Speaker 1: said was true, which it isn't. But even if she

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Speaker 1: could like claim that in some technical sense it was

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Speaker 1: true in the context she was saying it, Twitter can

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Speaker 1: do whatever the funk they want. Dude, like this, you're

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Speaker 1: not it's a private company. It's a private company. They

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Speaker 1: you post at their discretion, as we've annoyingly found out

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Speaker 1: with our own Jamie loftus. But you know that it

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Speaker 1: works the other way, and if you're evil and they

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Speaker 1: successfully read the intent of your hate speech. Yeah, you

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Speaker 1: don't get to just throw a you know, just flip out.

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Speaker 1: So her her first response was to claim that the

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Speaker 1: president was going to uh intervene on her behalf because

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Speaker 1: you know, he gets censorship that the liberal media machines

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Speaker 1: are against the right. So he was like, yeah, he'll

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Speaker 1: step in on my behalf because I'm I'm doing the

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Speaker 1: right thing, so I don't have to worry. I mean

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Speaker 1: that that was step one of the just being like

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Speaker 1: spinning out like a spoiled child in a toy store

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Speaker 1: who hasn't gotten what she wanted. Uh, So claiming the press,

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Speaker 1: my my daddy's gonna come. Uh that that didn't work.

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Speaker 1: And then so she went to Twitter's offices in New

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Speaker 1: York City and handcuffed herself to one of the doors.

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Speaker 1: She didn't want to create a fire hazard, so only

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Speaker 1: one of the doors and then threw away the key

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Speaker 1: and Twitter decided not to press charges. They were like, fine,

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Speaker 1: I mean it's cool because if they when the cops

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Speaker 1: showed up there, we'll you want to press charges, we

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Speaker 1: can remove and they're like, no, you're good. Let's see

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Speaker 1: how Let's see how if she's built for this. Uh

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Speaker 1: And and also the one thing was wow that she

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Speaker 1: had like a sort of star of David from like,

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Speaker 1: you know, like Nazi Germany era, like sewed on to

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Speaker 1: her shirt. Was really doing a lot in her demonstration.

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Speaker 1: I mean, it's attacking where you're weak, is the thing

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Speaker 1: that the conservatives have, just like it's just second nature

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Speaker 1: to them, that's what they always do. So if you're

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Speaker 1: a Nazi, you claim to be a victim of right, like,

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Speaker 1: that's just how just if you're a racist you claim

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Speaker 1: to be a victim of reverse racist. Yes, it's a

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Speaker 1: good I mean, I get the very elementary logic behind that,

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Speaker 1: but it doesn't hold up after two seconds. I thought

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Speaker 1: that y'all would learn, you know, from the multiple times

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Speaker 1: that I've been here, that y'all are looking at this

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Speaker 1: all wrong, okay, And y'all are not looking at the

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Speaker 1: sacrifice that she made. You understand what she could have

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Speaker 1: been doing that day. And then she chose to her own,

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Speaker 1: you know, prerogative aside so she could chain herself to

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Speaker 1: the Twitter building. I don't know, man if Ariana Grande

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Speaker 1: did it. Y'all be cheering her on. I'll be so happy.

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Speaker 1: I'll be so proudly. You'll want to disrespect this woman

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Speaker 1: for exercising her right. Well, the best part was when

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Speaker 1: she was like, you know, and I'll pee myself if

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Speaker 1: I have to. But then she wasn't willing to actually

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Speaker 1: back that up. She was like, after like an hour,

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Speaker 1: she was like, all right, this is boring. I don't

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Speaker 1: want to do it anymore. It just shows you how

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Speaker 1: shallow her thinking was, like how shortsighted. It was like, well,

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Speaker 1: do this and people will gather and I'll make this point.

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Speaker 1: And then she's like, wait, but if I do away

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Speaker 1: the key and I'm really supposed to pretend that I'm

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Speaker 1: about this demonstration, then I would have to urinate on myself.

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Speaker 1: Wait where am I getting food? Weight? What about all

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Speaker 1: these other things? And then yeah, eventually just gett And

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Speaker 1: a cop was like, you seem like a nice white girl.

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Speaker 1: There's other social media's out there for you. You You literally said, oh,

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Speaker 1: he really said nice white girl. But there's other media.

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Speaker 1: There's other media's out there. Hunt It's just funny that

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Speaker 1: he was like talking to her, like you'll you'll catch

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Speaker 1: the next one. There's a funny pick of like this

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Speaker 1: NYPD cop like white guys just looking at her doing

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Speaker 1: like the quintessential like sarcastic New Yorker smile, like all right, yeah, nice,

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Speaker 1: try to Yeah, alright, let's talk about the hellscape that

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Speaker 1: we are living in. Airbnb is now designing and building houses,

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Speaker 1: so yeah, it's it's basically they're they're not just like

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Speaker 1: building their designing it like you. They're sending like prefab houses,

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Speaker 1: like prefabricated houses out to people. I think that you

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Speaker 1: can buy houses from Airbnb and they're small houses that

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Speaker 1: you can like put in your backyards so people can

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Speaker 1: like rent them from your bro I mean, this is

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Speaker 1: such late stage capitalism ship where it's like, let's not

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Speaker 1: address the housing crisis. Let's just help existing landowners how

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Speaker 1: to profit even like if they own, if they're fortunate

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Speaker 1: enough to own a piece of property, then how can

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Speaker 1: you exponentially try and make money off of that fellow

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Speaker 1: landowners or at the very at least like a lot

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Speaker 1: of people, homeowning is so hard. Most people have to

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Speaker 1: think about having a rental unit on their property to

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Speaker 1: even pay their mortgage. It's just like yo, like and

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Speaker 1: then airbb profits because like, well now you've got to

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Speaker 1: buy the fake home from us, and then you're gonna

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Speaker 1: rent this thing out through our website, which then we

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Speaker 1: get a cut off from the booking fees. Yeah. Yeah,

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Speaker 1: that's basically how it works. Man. See this is what

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Speaker 1: I don't understand about you guys. What do you want

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Speaker 1: Airbnb to do? Not make a profit? What do you

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Speaker 1: want something to do with those homes? Give them the

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Speaker 1: homeless people? Maybe use that energy and get like what

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Speaker 1: the I'll talking about, bro, that's easy capital be making here.

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Speaker 1: I saw this billboard outside today and it really spoke

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Speaker 1: to me. It said, they don't have four people. You

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Speaker 1: don't have to worry about robots taking your job if

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Speaker 1: you have a retirement plan. And that's the late stage

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Speaker 1: capitalist with you know what I'm saying, Like, that's the

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Speaker 1: foresight that I fun with. You know what I mean?

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Speaker 1: If I'm rich, I don't have to worry about robots.

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Speaker 1: Look like it looks like you alright ready for the robot?

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Speaker 1: Let me say my savings account right now? Is my

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Speaker 1: rent for next month? Yeah? Improv comedy robots so funny,

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Speaker 1: it's called Harold improv robot? Do you want to do

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Speaker 1: a spoon river format? So we're staying in a hotel

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Speaker 1: while we're in Chicago that used to be and is

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Speaker 1: now a Yeah, first of all, still owned by and

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Speaker 1: if you don't know what it is, I mean shout

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Speaker 1: out to everybody who looked us up with this hotel.

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Speaker 1: I don't mean to talk down about it, but at

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Speaker 1: the same time, I'm going to give my assessment honestly

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Speaker 1: as a consumer. It looks like what a sixty year

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Speaker 1: old person's idea of what a millennial wants to be in. Yes,

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Speaker 1: it looks like a Pinterest helescape in here. Yes, it

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Speaker 1: looks like Instagram through up on the inside of a hotel.

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Speaker 1: And the funniest is when we check in there, like

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Speaker 1: and just so you know, the rooms are European inspired,

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Speaker 1: so they're a little bit cozier, which is code for

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Speaker 1: no closets. The motherfucking shower I don't know if you'll

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Speaker 1: hear that. I'm banging on the shower. The shower. Shower

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Speaker 1: is a phone booth right next to your bed, and

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Speaker 1: his head is sitting on a sink. But but it's

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Speaker 1: like well designed, sothically. I want to yeah, it's aesthetically nice.

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Speaker 1: It's working. I've got my like, yes, there's no closet,

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Speaker 1: but they give you a bunch of pegs to hang

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Speaker 1: your ship on. It looks like you look like a

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Speaker 1: down and out elementary school teacher, right, like at a

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Speaker 1: halfway house. But the TV says your name when you

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Speaker 1: come in. You said your name, Yeah, I said hello,

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Speaker 1: said Internet TV, like Netflix U like all these streaming

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Speaker 1: platform kid, we get it. I turned the TV off

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Speaker 1: to start working on the dock today and it came

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Speaker 1: back on. It's like, what about Internet TV? What about

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Speaker 1: these internet flicks? What makes me mad is like the

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Speaker 1: inconsistency in like culture, Like when you come in, they

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Speaker 1: give you like a free drink ticket, but it's a

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Speaker 1: poker chip and that's the only Vegas thing about this

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Speaker 1: entire thing. And then everything else is like the burritos

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Speaker 1: are like zombie inspired, well because that's millennial, right. It's

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Speaker 1: like chasing they're chasing trends. It's just so inconsistent. There's

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Speaker 1: a Korean ex Mexican food collab which is actually tasty.

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00:21:52,760 --> 00:21:55,520
Speaker 1: It wasn't tasty, yeah, but you know, the cog truck

399
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Speaker 1: did that to sort of bring that. It's all sort

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Speaker 1: of derivative off of things that were huge, like eight

401
00:21:59,840 --> 00:22:03,879
Speaker 1: year it was it was designed by the grandchild of

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Speaker 1: whoever designed t G I Fridays and like he's a

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Speaker 1: millennial who like it's just like they even had extreme

404
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Speaker 1: sports on. It's like we had to do normal sports

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00:22:13,880 --> 00:22:19,200
Speaker 1: that millennial like that extreme sports being projected on. It

406
00:22:19,280 --> 00:22:21,920
Speaker 1: was at the what I was checking in. The person

407
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Speaker 1: at the front does got a call like on the

408
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Speaker 1: line and goes, hey, what's up. It's Amy at the

409
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Speaker 1: what do you need? Actually? Can you hold on? Him?

410
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Speaker 1: Dealing with a customer, and like that seemed to have

411
00:22:31,000 --> 00:22:33,359
Speaker 1: been like the protocol for everybody matching the phone was

412
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Speaker 1: like this sort of like hey, we're casual, we're kids.

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Speaker 1: It totally is because housekeeping lets you know if they're

414
00:22:39,160 --> 00:22:44,960
Speaker 1: coming by knocking the beat of grinding, Yes they do. Bro, Dude,

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Speaker 1: I wish I could do the table like this. It's

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Speaker 1: like housekeeping, no housekeeping. I heard her do it like

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Speaker 1: five times. That wasn't the be from grinding. It was bad.

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Speaker 1: It was I'm not great at it, but it was

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Speaker 1: a but then they did housekeeping rhythmically in between the

420
00:23:05,119 --> 00:23:08,960
Speaker 1: drum house keeping wow grind and did they have like

421
00:23:09,000 --> 00:23:11,679
Speaker 1: a dice in little like cord like a cordless vacum.

422
00:23:12,920 --> 00:23:17,479
Speaker 1: She was naked. I think the girl checked us in,

423
00:23:17,560 --> 00:23:19,960
Speaker 1: who was very nice by the way, but I think

424
00:23:20,000 --> 00:23:23,480
Speaker 1: she had like a fake tattoo on her or either

425
00:23:23,560 --> 00:23:25,720
Speaker 1: that or like it was a tattoo that like she

426
00:23:25,920 --> 00:23:28,760
Speaker 1: was being removed. Anytime I'm in like hanging out with

427
00:23:28,800 --> 00:23:33,440
Speaker 1: a millennial, I'm always like looking to the elder millennial. Yea, yeah,

428
00:23:33,440 --> 00:23:36,760
Speaker 1: I'm elder millennial. And so I'm like, you know, you're

429
00:23:38,320 --> 00:23:41,120
Speaker 1: exactly and I'm always conscious and I was like, these

430
00:23:41,119 --> 00:23:43,720
Speaker 1: people have to have tattoos. They would be fired if

431
00:23:43,760 --> 00:23:46,440
Speaker 1: they didn't. I haven't seen a regular looking person working

432
00:23:46,480 --> 00:23:49,640
Speaker 1: in this hotel. Like even the white people have dreads, right,

433
00:23:49,800 --> 00:23:52,359
Speaker 1: It's true. I was like, yo, one shout out to

434
00:23:52,440 --> 00:23:56,040
Speaker 1: home girl with the cinnamon bun roll one dreadlock curled

435
00:23:56,119 --> 00:23:57,960
Speaker 1: up like the smell. Are we gonna have to bleep

436
00:23:58,000 --> 00:24:01,880
Speaker 1: the name of the hotel since probably, oh well, it's

437
00:24:01,880 --> 00:24:05,360
Speaker 1: a millennial inspired hotel. And the other thing they did,

438
00:24:05,400 --> 00:24:08,320
Speaker 1: like we were talking about it's so small but it's smart,

439
00:24:08,600 --> 00:24:10,760
Speaker 1: like it works? Is the is the thing that I

440
00:24:10,800 --> 00:24:13,240
Speaker 1: want to come back to the apologist. No, I'm not

441
00:24:13,280 --> 00:24:16,000
Speaker 1: being an apologist. So like we were, we're standing over

442
00:24:16,040 --> 00:24:19,840
Speaker 1: there waiting for our delicious nachos, talking shit about the

443
00:24:19,840 --> 00:24:22,680
Speaker 1: place being like this place so stupid, look at the decor.

444
00:24:23,200 --> 00:24:25,359
Speaker 1: And then we came back to the table. One of

445
00:24:25,359 --> 00:24:30,040
Speaker 1: our fans was having a drink with us, and we

446
00:24:30,040 --> 00:24:31,399
Speaker 1: were like, so, what do you think of this place?

447
00:24:31,680 --> 00:24:34,000
Speaker 1: She's staying here, and she was like, I like it.

448
00:24:34,000 --> 00:24:40,719
Speaker 1: It's fun. I was like, oh, yeah, alright, and I'm

449
00:24:40,760 --> 00:24:44,000
Speaker 1: like I'm a to yeah, because like the the lobby

450
00:24:44,440 --> 00:24:49,679
Speaker 1: is has a DJ spinning questions of your favorite board games,

451
00:24:50,080 --> 00:24:53,679
Speaker 1: the gigantic you No Cards set. I'm sorry that was

452
00:24:53,800 --> 00:24:56,000
Speaker 1: a step too far. I can understand the connect for

453
00:24:56,119 --> 00:25:00,000
Speaker 1: and big Jenga, but gigantic playing cards they're not even

454
00:25:00,040 --> 00:25:05,240
Speaker 1: and useful, like poy about your hand and when each

455
00:25:05,240 --> 00:25:08,720
Speaker 1: card is three ft hot, like oh okay, I see

456
00:25:08,760 --> 00:25:10,920
Speaker 1: what you're doing. You're like shuffling a four foot card

457
00:25:11,840 --> 00:25:14,680
Speaker 1: with wild drop for it does make it more fun

458
00:25:14,760 --> 00:25:19,120
Speaker 1: with you, you you know, it's just like yeah, but yeah,

459
00:25:19,160 --> 00:25:23,560
Speaker 1: I mean it's fun and and it's profitable. You know,

460
00:25:23,680 --> 00:25:26,800
Speaker 1: it's fun. It's fun for millennials, and it's profitable because

461
00:25:27,080 --> 00:25:29,960
Speaker 1: I like, think about how many extra rooms they cram

462
00:25:30,040 --> 00:25:33,320
Speaker 1: into this, Like a normal hotel would have half as

463
00:25:33,359 --> 00:25:36,800
Speaker 1: many rooms, but they were just you know, the rooms

464
00:25:36,800 --> 00:25:41,880
Speaker 1: in half European inspired. Yeah, fancy capitalist cubicles from millennials. Yeah,

465
00:25:42,040 --> 00:25:46,439
Speaker 1: it's just they learned how It's basically like the social

466
00:25:46,480 --> 00:25:49,919
Speaker 1: media manager from a company was like, what if I

467
00:25:50,040 --> 00:25:53,000
Speaker 1: opened a hotel. Yeah, well you know there were like

468
00:25:53,080 --> 00:25:56,240
Speaker 1: I saw like masks you could use for like gramming. Yeah,

469
00:25:56,240 --> 00:25:58,639
Speaker 1: because if you're at a wedding, there's literally a giant

470
00:25:58,680 --> 00:26:00,760
Speaker 1: pillow in the lobby that's has do it for the

471
00:26:00,800 --> 00:26:04,920
Speaker 1: Graham Now that's the table, the big but there's also

472
00:26:05,000 --> 00:26:10,439
Speaker 1: a moving podcast studio right yes. That we were like,

473
00:26:10,480 --> 00:26:12,760
Speaker 1: oh dope, we can use that, and then we saw

474
00:26:12,760 --> 00:26:15,639
Speaker 1: it was the size of I'm not even joking, like

475
00:26:15,640 --> 00:26:18,960
Speaker 1: a bathroom stall. Yeah, like Darth Vaders, like pod that

476
00:26:19,040 --> 00:26:21,280
Speaker 1: he sleeps in. It's fine, you know it's for two people.

477
00:26:21,320 --> 00:26:23,119
Speaker 1: But you can't do a second rate podcast like this.

478
00:26:23,200 --> 00:26:25,760
Speaker 1: That's why we always he asked, hotel room. We sound

479
00:26:25,800 --> 00:26:27,879
Speaker 1: like some spoiled podcasts. I want to I want to

480
00:26:27,920 --> 00:26:30,959
Speaker 1: bring something up real quick if I can. Yeah, you're

481
00:26:31,000 --> 00:26:35,479
Speaker 1: watching it, is there Darren by thirty points. There's no

482
00:26:35,800 --> 00:26:39,720
Speaker 1: way they're going to win this game. San Antonio spurs

483
00:26:39,840 --> 00:26:42,200
Speaker 1: down my thirty three points. At some point, yas should

484
00:26:42,200 --> 00:26:45,720
Speaker 1: stop right like like quin, I feel like they should,

485
00:26:45,800 --> 00:26:47,960
Speaker 1: like no, I don't want to keep going. Get the

486
00:26:47,960 --> 00:26:51,760
Speaker 1: fucking break speat off of you. Yeah, the coach will

487
00:26:52,119 --> 00:26:54,720
Speaker 1: leave them in like he's leaving his first stringers in

488
00:26:54,840 --> 00:26:59,479
Speaker 1: because he wants feel the shame of want to offense

489
00:26:59,560 --> 00:27:03,399
Speaker 1: or my OA. The unfortunate thing is San Antonio just

490
00:27:03,520 --> 00:27:06,480
Speaker 1: lost by thirty to Dallas, so they're struggling right now.

491
00:27:07,440 --> 00:27:09,320
Speaker 1: But anyway, for those of you who are time traveling,

492
00:27:09,480 --> 00:27:12,040
Speaker 1: this is a game that has already happened. But yeah,

493
00:27:12,160 --> 00:27:14,760
Speaker 1: enjoy that little bit of insight. Yeah, all right, we're

494
00:27:14,760 --> 00:27:26,760
Speaker 1: gonna take a quick break. We'll be right back, and

495
00:27:26,880 --> 00:27:30,960
Speaker 1: we're back and off the bat. I wanted to talk

496
00:27:31,000 --> 00:27:34,840
Speaker 1: about the shitty, awkward high five heard around the world

497
00:27:34,920 --> 00:27:38,360
Speaker 1: between Vladimir Putin and MBS. You said, white guy high five.

498
00:27:38,359 --> 00:27:41,160
Speaker 1: I'm like, I think only one of those guys counsels, right, Yeah,

499
00:27:41,240 --> 00:27:46,600
Speaker 1: well it's just you ask. Putin's just got his hand

500
00:27:46,720 --> 00:27:50,240
Speaker 1: up and he's like, yeah, there's like a big pause

501
00:27:50,600 --> 00:27:54,480
Speaker 1: before where he gets that white guy anxiety about how

502
00:27:54,480 --> 00:27:57,040
Speaker 1: am I going to do this high five? I don't know.

503
00:27:57,400 --> 00:27:59,600
Speaker 1: So for those of you who clearly are not looking

504
00:27:59,640 --> 00:28:02,680
Speaker 1: at the if we're looking at it's at Yeah. From

505
00:28:02,680 --> 00:28:06,000
Speaker 1: the G twenty when Vladimir Putin and Mohammed been Salma On,

506
00:28:06,040 --> 00:28:08,600
Speaker 1: the crown Prince of Saudi Arabia, caught each other a

507
00:28:08,640 --> 00:28:13,879
Speaker 1: little summit and the way they high five sent chills

508
00:28:13,920 --> 00:28:16,560
Speaker 1: through my spine. I just retweeted the video and said,

509
00:28:16,720 --> 00:28:19,800
Speaker 1: when you both sucking the same nation, because it's sort

510
00:28:19,800 --> 00:28:23,359
Speaker 1: of like they're like, yeah, boy, oh yeah they are.

511
00:28:23,640 --> 00:28:26,200
Speaker 1: I mean, it's the confidence. And also the funniest part

512
00:28:26,240 --> 00:28:29,159
Speaker 1: is when Trump sheepishually comes in from the Vaca you

513
00:28:29,160 --> 00:28:34,120
Speaker 1: guys talking about me, and he's like looking from a distance, like, hey,

514
00:28:33,560 --> 00:28:36,399
Speaker 1: what's well. I mean, these are two men who clearly

515
00:28:36,440 --> 00:28:40,400
Speaker 1: have some kind of power over Trump, whether it's clearly

516
00:28:40,600 --> 00:28:43,040
Speaker 1: financial in the terms in terms of MBS, or it's

517
00:28:43,080 --> 00:28:45,400
Speaker 1: some kind of comproment thing for Putin, like we're looking

518
00:28:45,400 --> 00:28:47,800
Speaker 1: the other way with the hashoji murder, We're looking the

519
00:28:47,840 --> 00:28:52,680
Speaker 1: other way with everything. We already talked about the fact

520
00:28:52,720 --> 00:28:55,040
Speaker 1: that you can see Trump in the background, Yeah, he

521
00:28:55,160 --> 00:28:58,440
Speaker 1: just comes in late, like, but there's a photo that

522
00:28:58,480 --> 00:29:01,600
Speaker 1: someone put online where you can like see him looking looking. Yeah,

523
00:29:02,080 --> 00:29:04,760
Speaker 1: it's like a very split second, but he like and

524
00:29:04,800 --> 00:29:08,480
Speaker 1: you can see the sadness in his eyes of like, well, yeah,

525
00:29:08,640 --> 00:29:12,200
Speaker 1: and Putin's clearly doing it. He this is I've never

526
00:29:12,200 --> 00:29:15,920
Speaker 1: seen him like demonstrative, like he's the showing out. He's yeah,

527
00:29:16,000 --> 00:29:18,600
Speaker 1: it's like he's somewhere with an X and he's trying

528
00:29:18,600 --> 00:29:21,360
Speaker 1: to show like how good I'm doing. Yeah, oh I've

529
00:29:21,400 --> 00:29:26,600
Speaker 1: been who Donald never heard? And is bay now right?

530
00:29:26,880 --> 00:29:30,120
Speaker 1: And yeah, he's just trying to He's doing it for Trump.

531
00:29:30,160 --> 00:29:34,400
Speaker 1: He's doing it for the Western cameras to just be like, yo,

532
00:29:34,600 --> 00:29:38,640
Speaker 1: I am public enemy number one. I am going to

533
00:29:39,560 --> 00:29:42,320
Speaker 1: buck you up, like, look, this dude murdered one of

534
00:29:42,360 --> 00:29:45,640
Speaker 1: your journalists and now he is my best friend because

535
00:29:45,680 --> 00:29:48,960
Speaker 1: he did that. Can I kind of be real with y'all? Well,

536
00:29:49,080 --> 00:29:50,800
Speaker 1: and it hurts me that we're not talking about this.

537
00:29:51,320 --> 00:29:53,400
Speaker 1: How sad it must feel to be Donald Trump right

538
00:29:53,400 --> 00:29:54,800
Speaker 1: now because your friends don't want to let you go

539
00:29:54,880 --> 00:29:57,360
Speaker 1: talk to him. They're like, don't go, don't go over there,

540
00:29:57,520 --> 00:30:00,360
Speaker 1: don't you can't talk to, don't talk to that's not

541
00:30:00,400 --> 00:30:02,640
Speaker 1: good for you. And he all he wants to do

542
00:30:02,680 --> 00:30:04,240
Speaker 1: is go over there. He can't because he has to

543
00:30:04,280 --> 00:30:06,800
Speaker 1: put on the show for everybody else. Also, yeah, he

544
00:30:06,800 --> 00:30:08,480
Speaker 1: didn't even want this. I'm going back to the game

545
00:30:08,520 --> 00:30:12,760
Speaker 1: real quick. Everyone's doing this thing of wearing suits for

546
00:30:12,800 --> 00:30:16,240
Speaker 1: Craig Sager and Mark Jackson is clearly not playing a lot.

547
00:30:16,680 --> 00:30:18,800
Speaker 1: He's like, He's like, this is my I have boundaries.

548
00:30:18,880 --> 00:30:22,880
Speaker 1: Have boundaries. Were Supers get out of cancer? Not me? Bro,

549
00:30:24,520 --> 00:30:26,880
Speaker 1: Mark Jackson is the wrong one, mom, And there go

550
00:30:27,000 --> 00:30:33,720
Speaker 1: that man with no empathy. But but I have to

551
00:30:33,840 --> 00:30:36,280
Speaker 1: think that, like Donald Trump is like, again, I have

552
00:30:36,320 --> 00:30:38,200
Speaker 1: no sympathy for the man. Yeah, yeah, he's evil, but

553
00:30:38,240 --> 00:30:40,640
Speaker 1: this is a situation, bro, Like this thing is mocking

554
00:30:40,640 --> 00:30:44,280
Speaker 1: your goddamn before. And then he also uncanceled their meeting

555
00:30:44,800 --> 00:30:49,040
Speaker 1: Trump what basically, Trump's people canceled the meeting for him,

556
00:30:49,080 --> 00:30:52,240
Speaker 1: and we're like, this would be very bad. And then

557
00:30:52,360 --> 00:30:55,480
Speaker 1: Putin was like, well you don't buy his reasoning for that,

558
00:30:55,560 --> 00:30:57,480
Speaker 1: and we're still going to have the meeting anyway. Yeah,

559
00:30:59,520 --> 00:31:03,719
Speaker 1: so fucking Savage was like hmm, like it was so sarcastic,

560
00:31:03,920 --> 00:31:06,160
Speaker 1: Like that's interesting that they say they canceled it for

561
00:31:06,200 --> 00:31:09,120
Speaker 1: those reasons, but we feel that that's entirely not the case.

562
00:31:09,360 --> 00:31:12,360
Speaker 1: It's probably due to domestic problems. That the president is

563
00:31:12,400 --> 00:31:16,320
Speaker 1: facing in his own country, the meeting, like they will meet,

564
00:31:16,680 --> 00:31:20,600
Speaker 1: whether it's informally or not. Yeah, that's some pimp ship. Yeah,

565
00:31:20,920 --> 00:31:23,000
Speaker 1: that's like, Yo, you're not breaking up with me right,

566
00:31:23,200 --> 00:31:27,880
Speaker 1: Like okay, watch this? Yeah, which is very frightening, Which

567
00:31:27,920 --> 00:31:30,320
Speaker 1: is a good sign that you should get a restraining

568
00:31:30,440 --> 00:31:33,360
Speaker 1: order against somebody. But why do you do that? The

569
00:31:33,400 --> 00:31:37,360
Speaker 1: U n R, NATO. Who's gonna sign that? Yeah? It

570
00:31:37,520 --> 00:31:41,400
Speaker 1: really just solidifies him as like openly being the villain

571
00:31:41,600 --> 00:31:45,000
Speaker 1: and there's just nothing we can do because of who

572
00:31:45,160 --> 00:31:47,680
Speaker 1: our president is at the moment. He's just he's just

573
00:31:47,720 --> 00:31:49,920
Speaker 1: a punk bro like straight up as a punk. Doesn't

574
00:31:49,960 --> 00:31:52,120
Speaker 1: want to, like, you know, be tough. And I get it,

575
00:31:52,120 --> 00:31:53,880
Speaker 1: it's not an easy situation to be tough in, but

576
00:31:53,960 --> 00:31:57,000
Speaker 1: come on, bro, have some balls at least self respect.

577
00:31:57,120 --> 00:31:59,840
Speaker 1: He was never I think that's the difference is we're

578
00:31:59,840 --> 00:32:02,000
Speaker 1: trying to look at him as even being a president.

579
00:32:02,200 --> 00:32:06,080
Speaker 1: It was just some fucking schemer who found his dumb

580
00:32:06,160 --> 00:32:08,680
Speaker 1: ass way into it and I was like, shoot, I'm

581
00:32:08,680 --> 00:32:12,400
Speaker 1: the president. Yeah, he's just a narcissism complex with a

582
00:32:12,480 --> 00:32:14,920
Speaker 1: dick that just like goes around just being like yo,

583
00:32:15,280 --> 00:32:18,800
Speaker 1: like what is going to either get my dick wet

584
00:32:18,960 --> 00:32:24,480
Speaker 1: or make me feel important, and that makes narcissism complex

585
00:32:24,520 --> 00:32:26,960
Speaker 1: with a dick. Yeah, it didn't get a lot of

586
00:32:28,920 --> 00:32:32,400
Speaker 1: What was your porn name, Haitian Stallion? Oh that's very original?

587
00:32:32,920 --> 00:32:34,760
Speaker 1: Is it your porinn name supposed to be your middle

588
00:32:34,760 --> 00:32:37,800
Speaker 1: and what is it your pets name? Plus there born

589
00:32:37,880 --> 00:32:51,680
Speaker 1: on and those are both also correct? Your first called? Uh? Alright, well,

590
00:32:52,040 --> 00:32:55,840
Speaker 1: just taking us back to the reality of living under

591
00:32:56,240 --> 00:32:59,960
Speaker 1: this administration, a federal ethics agency is telling civil serve

592
00:33:00,000 --> 00:33:04,520
Speaker 1: events to avoid workplace talk about impeachment or the resistance

593
00:33:04,760 --> 00:33:08,320
Speaker 1: or that you mean the hashtag resist for seven and

594
00:33:08,360 --> 00:33:13,160
Speaker 1: five days, which equals out to the day after election.

595
00:33:13,480 --> 00:33:18,880
Speaker 1: So yeah, it's the Office of Special Council Hatch Act Unit. Yeah.

596
00:33:19,120 --> 00:33:22,240
Speaker 1: So it says, please don't engage in quote strong criticism

597
00:33:22,320 --> 00:33:26,280
Speaker 1: or praise of a presidential administration's policy and actions. Which

598
00:33:26,280 --> 00:33:30,120
Speaker 1: presidential administration you think they're talking about, probably FDR. Yeah,

599
00:33:31,400 --> 00:33:33,160
Speaker 1: So what does this mean? Man? Because I feel like,

600
00:33:33,280 --> 00:33:37,160
Speaker 1: you know, this whole impeachment stuff has been like the

601
00:33:37,200 --> 00:33:38,800
Speaker 1: girl that used to text me in high school and

602
00:33:38,800 --> 00:33:40,560
Speaker 1: said I really really like you, and I'll be like, hey,

603
00:33:40,600 --> 00:33:43,240
Speaker 1: can we hang out and no text back, and that's

604
00:33:43,240 --> 00:33:45,440
Speaker 1: what this whole impeachment stuff has felt like a bunch

605
00:33:45,440 --> 00:33:50,240
Speaker 1: of play but no action. So like, yeah, what does

606
00:33:50,240 --> 00:33:53,400
Speaker 1: this mean? Like what does this mean? I don't know. Well, well,

607
00:33:53,440 --> 00:33:56,880
Speaker 1: I think because the hatch act is they want to

608
00:33:56,960 --> 00:34:00,800
Speaker 1: keep the executive is like a political as possible, as

609
00:34:00,840 --> 00:34:03,160
Speaker 1: nonpartisan as possible. So it's they're just sort of like,

610
00:34:04,120 --> 00:34:07,520
Speaker 1: I get it, this guy sucks, and the objective take

611
00:34:07,640 --> 00:34:11,080
Speaker 1: on this is this motherfucker gotta go, but let's try

612
00:34:11,120 --> 00:34:14,600
Speaker 1: and pretend that this is still the US government. I

613
00:34:14,640 --> 00:34:18,560
Speaker 1: don't know, it's I think it's too late. I mean, bro, yeah,

614
00:34:18,960 --> 00:34:21,319
Speaker 1: I mean you you they should have looked out when

615
00:34:21,560 --> 00:34:24,080
Speaker 1: he was doing all this bullshit as president rather than

616
00:34:24,120 --> 00:34:26,440
Speaker 1: like coming down on like the citizens who are now

617
00:34:26,520 --> 00:34:29,680
Speaker 1: being like reacting to the situation there and on account

618
00:34:29,719 --> 00:34:31,560
Speaker 1: of his actions. Yeah, I don't think. I don't think

619
00:34:31,640 --> 00:34:34,600
Speaker 1: we should get too far down the path of being

620
00:34:34,719 --> 00:34:37,759
Speaker 1: like it's foregone conclusion. They're fucked, and they're just trying

621
00:34:37,800 --> 00:34:41,160
Speaker 1: to make it like less awkward and bloody for them.

622
00:34:41,239 --> 00:34:44,400
Speaker 1: I think this is definitely them trying to suppress like

623
00:34:44,560 --> 00:34:48,640
Speaker 1: super producer around Josnie I said, like it's shit it's like,

624
00:34:48,760 --> 00:34:51,319
Speaker 1: you cannot say the words that you know, we don't

625
00:34:51,360 --> 00:34:54,400
Speaker 1: want you to say because that funks up our ability

626
00:34:54,480 --> 00:34:58,560
Speaker 1: to rule. Yeah. Um, but can't they read your thoughts

627
00:34:58,600 --> 00:35:00,920
Speaker 1: in ninety eighty four? Isn't that a part of the book. Now,

628
00:35:01,000 --> 00:35:03,640
Speaker 1: they're just they just control your thoughts by having big

629
00:35:03,719 --> 00:35:07,840
Speaker 1: brother having a TV in every house and a camera

630
00:35:08,040 --> 00:35:12,680
Speaker 1: watching you at all times. Sounds yeah, they figured out

631
00:35:12,760 --> 00:35:16,279
Speaker 1: a better way to control us with social media. Well, yeah,

632
00:35:16,320 --> 00:35:19,440
Speaker 1: they're just trying to stave off the fact that this

633
00:35:19,600 --> 00:35:22,719
Speaker 1: whole because of him being in office, everything has become

634
00:35:22,760 --> 00:35:28,239
Speaker 1: politicized unfortunately. Yeah, but I mean I think political engagement

635
00:35:28,320 --> 00:35:30,360
Speaker 1: at this point is not a bad thing, and no,

636
00:35:30,560 --> 00:35:32,800
Speaker 1: it's not, and to try to limit that as crazy,

637
00:35:32,960 --> 00:35:34,480
Speaker 1: well yeah, especially it's like what do you want to

638
00:35:34,520 --> 00:35:38,160
Speaker 1: do if if someone's being so destructive at that point,

639
00:35:38,200 --> 00:35:40,080
Speaker 1: it's like you're just gonna watch the ship burned down

640
00:35:40,120 --> 00:35:41,680
Speaker 1: with you in it. Like you can't even talk about

641
00:35:41,680 --> 00:35:43,560
Speaker 1: It's not like these people are openly being like, all right,

642
00:35:43,560 --> 00:35:47,120
Speaker 1: how we're gonna organize to do this thing. It's nearly like, hey,

643
00:35:47,239 --> 00:35:49,799
Speaker 1: when you're blowing off steam at work and to talk

644
00:35:49,840 --> 00:35:54,439
Speaker 1: about how bad the boss is fucking right, right exactly, Yeah,

645
00:35:54,560 --> 00:35:56,919
Speaker 1: and I'll bring it up again. Just a thing I've

646
00:35:57,280 --> 00:36:00,160
Speaker 1: mentioned on the show a couple of times before that

647
00:36:00,760 --> 00:36:04,080
Speaker 1: some of the countries where Nazis first four like rising

648
00:36:04,120 --> 00:36:06,800
Speaker 1: to power, there was a lot of news stories, but

649
00:36:06,920 --> 00:36:10,200
Speaker 1: like by the end of it, right before World War Two,

650
00:36:10,560 --> 00:36:12,920
Speaker 1: like the media and like everybody was just tired of it.

651
00:36:13,000 --> 00:36:14,759
Speaker 1: They were like, this story is old and they just

652
00:36:14,840 --> 00:36:16,440
Speaker 1: got bored of writing about it, so they didn't have

653
00:36:16,480 --> 00:36:20,040
Speaker 1: any stories about the Nazis anymore. It was just wild. Yeah,

654
00:36:20,200 --> 00:36:23,319
Speaker 1: that's so wild and so lazy because like what kind

655
00:36:23,360 --> 00:36:25,200
Speaker 1: of news stories are going on in Germany that they

656
00:36:25,239 --> 00:36:27,680
Speaker 1: were like, I want to write about this instead, right, Yeah,

657
00:36:27,680 --> 00:36:29,399
Speaker 1: we're poor as hell, y, you wan't write about ship?

658
00:36:29,640 --> 00:36:33,000
Speaker 1: They were. They were really into true crime actually really yeah,

659
00:36:33,600 --> 00:36:37,279
Speaker 1: m did they have podcast about it? Well that's it

660
00:36:37,360 --> 00:36:39,040
Speaker 1: for my takes, guys, I'm gonna go back to my room.

661
00:36:40,239 --> 00:36:43,399
Speaker 1: Hey you're where can people find you? Uh? Let's talk

662
00:36:43,400 --> 00:36:46,920
Speaker 1: about the Russian ship some more. Fuck, this is this

663
00:36:47,080 --> 00:36:51,400
Speaker 1: kind of ship. Last week it was story after story

664
00:36:51,640 --> 00:36:53,880
Speaker 1: and the onion was getting peeled more and more. Not

665
00:36:54,000 --> 00:36:57,320
Speaker 1: the hilarious news site, the real onion of this administration,

666
00:36:57,680 --> 00:37:00,399
Speaker 1: and we're seeing all the layers. So now that people

667
00:37:00,480 --> 00:37:03,160
Speaker 1: have been able to kind of comb through Michael Cohen's

668
00:37:03,160 --> 00:37:05,560
Speaker 1: plea deal, we're kind of seeing like sort of maybe

669
00:37:05,640 --> 00:37:09,480
Speaker 1: where Mueller is going with things. So for starters, I

670
00:37:09,600 --> 00:37:12,640
Speaker 1: think it's very clear to people that this dude gave

671
00:37:12,800 --> 00:37:16,960
Speaker 1: up all the fucking goods any kind of Trump Land

672
00:37:17,040 --> 00:37:19,640
Speaker 1: crimes he knew about or was involved in during his

673
00:37:19,760 --> 00:37:23,400
Speaker 1: time working for Trump. That's very very clear contrast between

674
00:37:23,640 --> 00:37:26,799
Speaker 1: how Mueller decided to deal with Man of Fort versus

675
00:37:26,840 --> 00:37:30,719
Speaker 1: how he's dealing with Cohen, Like Cohen did arguably just

676
00:37:30,800 --> 00:37:33,480
Speaker 1: as bad ship or probably did just as bad ship.

677
00:37:33,600 --> 00:37:36,480
Speaker 1: And I mean, he's getting zero because it's funny because

678
00:37:36,520 --> 00:37:38,640
Speaker 1: like he's he's on the hook for like tax fraud

679
00:37:38,760 --> 00:37:41,600
Speaker 1: and campaign finance violations and right now he only played

680
00:37:41,600 --> 00:37:44,240
Speaker 1: guilty to lying to Congress, which is a very small charge,

681
00:37:44,680 --> 00:37:46,839
Speaker 1: but that just shows you, like what Mueller is sort

682
00:37:46,880 --> 00:37:48,800
Speaker 1: of working with. He's like, Okay, plead out to this,

683
00:37:49,280 --> 00:37:52,480
Speaker 1: and then if you cooperate on these other things he's recommending.

684
00:37:52,520 --> 00:37:55,680
Speaker 1: He's like given, like, according to this agreement, if Michael

685
00:37:55,719 --> 00:37:59,840
Speaker 1: Cohen does cooperate fully in his fourth right and honest

686
00:38:00,000 --> 00:38:03,879
Speaker 1: about everything. He's talking about knocking his sentence down from

687
00:38:04,040 --> 00:38:07,359
Speaker 1: zero to six months. Man, you know that's a good

688
00:38:07,560 --> 00:38:10,399
Speaker 1: That means he's playing a fucking ball. Can I say

689
00:38:10,480 --> 00:38:13,600
Speaker 1: something that follows me about this whole thing? What's up

690
00:38:13,640 --> 00:38:15,960
Speaker 1: here we go? Are we talking about the Spurs? No,

691
00:38:16,680 --> 00:38:19,760
Speaker 1: we're gonna talk about this because this game is terrible.

692
00:38:19,920 --> 00:38:23,160
Speaker 1: I regret asking you guys to put it on for me. Um.

693
00:38:23,920 --> 00:38:26,319
Speaker 1: I remember middle school, we had a very clear rule,

694
00:38:26,440 --> 00:38:29,880
Speaker 1: which is snitches get stitches. But to hear the excitement

695
00:38:30,719 --> 00:38:33,919
Speaker 1: in your voice months and in your voice Jack talking

696
00:38:33,960 --> 00:38:40,360
Speaker 1: about a man who snitched disgusted, I love it to

697
00:38:40,640 --> 00:38:46,120
Speaker 1: a registered Republican and I'm like, yeah, would you be

698
00:38:46,239 --> 00:38:49,520
Speaker 1: mad if a cops nitched on racist white cops? I mean, yeah,

699
00:38:49,560 --> 00:38:52,800
Speaker 1: all right on that one. What I'm saying is this

700
00:38:52,960 --> 00:38:56,160
Speaker 1: guy is approaching master Splinter in terms of becoming the

701
00:38:56,200 --> 00:38:59,520
Speaker 1: greatest rat of all time. Like he's not fucking around,

702
00:38:59,680 --> 00:39:01,759
Speaker 1: And that's it's funny because you look, you contrast that

703
00:39:01,840 --> 00:39:03,920
Speaker 1: with Palm manaf who's trying to play games with ROBERTA.

704
00:39:04,880 --> 00:39:07,480
Speaker 1: It is not working out. I think they're talking about

705
00:39:07,520 --> 00:39:09,839
Speaker 1: taking them to trial again. Yeah, trying to find more

706
00:39:09,960 --> 00:39:12,160
Speaker 1: charges on which they have plenty of. But I think

707
00:39:12,200 --> 00:39:14,560
Speaker 1: that just shows you to like Michael Cohen has a

708
00:39:14,640 --> 00:39:16,920
Speaker 1: great deal. He's like, hey, you're honest, you might not

709
00:39:17,040 --> 00:39:20,200
Speaker 1: even go to jail, just give up the goods. And

710
00:39:20,360 --> 00:39:22,719
Speaker 1: he is on his way to doing that. And do

711
00:39:22,800 --> 00:39:25,120
Speaker 1: you see him say the other day, like he hopes

712
00:39:25,320 --> 00:39:29,200
Speaker 1: Michelle Obama will unite the country. Who said that, Michael,

713
00:39:29,840 --> 00:39:31,319
Speaker 1: He's like, I hope for the sake of my wife

714
00:39:31,360 --> 00:39:35,719
Speaker 1: and my kids that Michelle Obama. You know at this point.

715
00:39:37,680 --> 00:39:39,960
Speaker 1: The other the other interesting thing to look at in

716
00:39:40,000 --> 00:39:41,680
Speaker 1: that plea deal is that he waved his right to

717
00:39:41,760 --> 00:39:43,839
Speaker 1: change the venue from the Southern District of New York,

718
00:39:44,200 --> 00:39:46,640
Speaker 1: which is a thing that Mueller intentionally has done to

719
00:39:46,840 --> 00:39:49,560
Speaker 1: keep it away from. If you know, if Matt Whitaker,

720
00:39:50,000 --> 00:39:55,000
Speaker 1: the fucking toilet salesman, wants to just dead the Muller investigation,

721
00:39:55,360 --> 00:39:58,320
Speaker 1: Mueller has already seated that in other jurisdictions. Who's like,

722
00:39:58,800 --> 00:40:03,800
Speaker 1: you can't kill something that is already dead. He's like,

723
00:40:03,880 --> 00:40:07,040
Speaker 1: if you strike me down, only become more powerful. That's

724
00:40:07,280 --> 00:40:09,440
Speaker 1: that's the ship is that, Like we haven't heard him

725
00:40:09,520 --> 00:40:11,920
Speaker 1: talk yet, Like what if he comes in just talking

726
00:40:12,040 --> 00:40:14,600
Speaker 1: like that just like obi Wan cannot to kill something

727
00:40:14,800 --> 00:40:19,520
Speaker 1: that I do not exist? How can you nowhere and everywhere?

728
00:40:20,480 --> 00:40:23,160
Speaker 1: And like the whole thing is like the nickname of

729
00:40:23,200 --> 00:40:26,240
Speaker 1: the Southern District of New York is the Sovereign District

730
00:40:26,320 --> 00:40:28,800
Speaker 1: of New York. It's because they have the most seasoned

731
00:40:28,920 --> 00:40:31,839
Speaker 1: U S. Attorneys and prosecutors. They deal with the most

732
00:40:32,200 --> 00:40:35,600
Speaker 1: high profile shit. They're just on another level to the

733
00:40:35,640 --> 00:40:38,719
Speaker 1: point that like main Justice in d C doesn't really

734
00:40:39,280 --> 00:40:42,040
Speaker 1: funk with them because of distance. They're sort of stature.

735
00:40:42,360 --> 00:40:45,120
Speaker 1: They're just known to sort of run almost independently to

736
00:40:45,200 --> 00:40:47,279
Speaker 1: the Department of Justice. This is just bring me back

737
00:40:47,280 --> 00:40:49,200
Speaker 1: to what I said earlier. Man, that girl that I'll

738
00:40:49,200 --> 00:40:52,800
Speaker 1: tell you about, she was so fine, she was so smart.

739
00:40:52,840 --> 00:40:56,280
Speaker 1: She like we all like the same things. She texted again,

740
00:40:56,560 --> 00:40:58,560
Speaker 1: no action, bro, So I'll tell me all this and

741
00:40:58,719 --> 00:41:02,360
Speaker 1: I'm into it, but I ain't seen nothing. Yeah, but

742
00:41:02,440 --> 00:41:04,919
Speaker 1: if you had had a little more patience, maybe yeah,

743
00:41:05,200 --> 00:41:08,920
Speaker 1: you know, you don't know what was happening. The other thing, too,

744
00:41:09,040 --> 00:41:11,400
Speaker 1: is like the way Sovereign District of New York is

745
00:41:11,480 --> 00:41:18,960
Speaker 1: the worst nickname because it's more formal moment rather than beauty. Um.

746
00:41:19,080 --> 00:41:20,680
Speaker 1: But the only thing too is a lot of people

747
00:41:20,680 --> 00:41:22,920
Speaker 1: pointed out how like Matt Whittaker's background as a U

748
00:41:23,040 --> 00:41:26,680
Speaker 1: S attorney, like when he was in Iowa toilet. Yeah, dude,

749
00:41:26,760 --> 00:41:30,440
Speaker 1: he was playing small fucking ball like compared to the

750
00:41:30,920 --> 00:41:34,200
Speaker 1: like the Southern District because one of his biggest moments

751
00:41:34,200 --> 00:41:36,640
Speaker 1: as a prosecutor, it was basically a failure at trial.

752
00:41:37,480 --> 00:41:40,360
Speaker 1: He's not even the most capable prosecutor as it stands.

753
00:41:40,600 --> 00:41:43,120
Speaker 1: And then you compare that to what the SDN why is.

754
00:41:43,360 --> 00:41:47,000
Speaker 1: It's like the Thunderdome, Rucker Park, the UFC, and the

755
00:41:47,080 --> 00:41:50,239
Speaker 1: super Bowl like all wrapped in one. So suffice it

756
00:41:50,280 --> 00:41:53,680
Speaker 1: to say that Whittaker is not even built to withstand

757
00:41:53,880 --> 00:41:56,680
Speaker 1: some kind of confrontation. Was put a beauty on this girl,

758
00:41:56,760 --> 00:42:00,160
Speaker 1: that's not gonna text me back. Well, what I'm saying is,

759
00:42:00,200 --> 00:42:03,160
Speaker 1: at the very least some something will happen. I mean, like,

760
00:42:03,640 --> 00:42:05,560
Speaker 1: there aren't many cards you can play because even if

761
00:42:05,600 --> 00:42:07,520
Speaker 1: you go down the road that let's say Whittaker does

762
00:42:07,600 --> 00:42:09,880
Speaker 1: try and dead them more investigation, he can't really do

763
00:42:10,080 --> 00:42:12,560
Speaker 1: much because he's put things in motion in other districts

764
00:42:12,840 --> 00:42:15,200
Speaker 1: where he can't really intervene in that sense because at

765
00:42:15,280 --> 00:42:18,000
Speaker 1: that point dio jas is doing their job. Marcy Wheeler,

766
00:42:18,160 --> 00:42:20,879
Speaker 1: who has been just spot on on all this ship.

767
00:42:21,080 --> 00:42:24,200
Speaker 1: She's one of dependent journalists. Your skin to crawl which

768
00:42:24,239 --> 00:42:27,399
Speaker 1: I got was empty wheel at empty at empty Wheel Twitter. Yeah.

769
00:42:27,480 --> 00:42:31,440
Speaker 1: But she's also like she dissected the Bush administration like

770
00:42:31,840 --> 00:42:34,399
Speaker 1: and the media and how they used the media sell

771
00:42:34,480 --> 00:42:37,279
Speaker 1: the Iraq war in two thousand seven. She's been like

772
00:42:37,480 --> 00:42:40,560
Speaker 1: super ahead of the curve in terms of I think

773
00:42:40,640 --> 00:42:43,360
Speaker 1: she's just really well sourced in terms of this story.

774
00:42:43,680 --> 00:42:47,040
Speaker 1: And she was said something offhandedly one of the Crooked

775
00:42:47,120 --> 00:42:50,720
Speaker 1: podcasts was interviewing her, and she was like, so any

776
00:42:50,920 --> 00:42:54,200
Speaker 1: other president if they were in a situation like this,

777
00:42:54,600 --> 00:42:58,640
Speaker 1: they would have the Spanish armada of lawyers, like, they

778
00:42:58,719 --> 00:43:01,799
Speaker 1: would have all the lawyers, the dream little dream team.

779
00:43:01,960 --> 00:43:06,120
Speaker 1: Trump is under lawyered, like just for being a normal person.

780
00:43:08,600 --> 00:43:11,440
Speaker 1: He does not have the legal representation to deal with

781
00:43:11,560 --> 00:43:13,920
Speaker 1: this ship. And she's just like she's not in a

782
00:43:14,000 --> 00:43:16,360
Speaker 1: good place, Like he's not going to do well in

783
00:43:16,480 --> 00:43:19,000
Speaker 1: this if it comes down the way it looks like

784
00:43:19,080 --> 00:43:23,040
Speaker 1: it's gonna come down. Uh yeah, well, hey, you do

785
00:43:23,120 --> 00:43:25,040
Speaker 1: what you gotta do, man, We'll do what we gotta do.

786
00:43:26,239 --> 00:43:28,400
Speaker 1: The other interesting thing was like when you looked at

787
00:43:28,480 --> 00:43:31,279
Speaker 1: the way the Trump organization was even trying to get

788
00:43:31,320 --> 00:43:35,200
Speaker 1: this Moscow building deal done, was like so amateurish, Like

789
00:43:35,360 --> 00:43:39,160
Speaker 1: they were literally googling Kremlin to're trying to find somebody

790
00:43:39,200 --> 00:43:40,920
Speaker 1: to talk to about how to make this deal happen,

791
00:43:41,239 --> 00:43:44,319
Speaker 1: googling Kremlin. And one of the sweeteners to the deal

792
00:43:44,480 --> 00:43:47,239
Speaker 1: was like, hey, we'll give Putin a penthouse at the tower.

793
00:43:47,320 --> 00:43:49,560
Speaker 1: It's going to be worth like fifty million of like

794
00:43:49,719 --> 00:43:53,080
Speaker 1: your fake made up value of this building. By the way,

795
00:43:53,160 --> 00:43:56,360
Speaker 1: Putin is the richest human being in the history of

796
00:43:56,520 --> 00:43:59,760
Speaker 1: the world. You dumb motherfu other people holding his money

797
00:44:00,000 --> 00:44:01,560
Speaker 1: you have to then waste it to try and just

798
00:44:01,760 --> 00:44:05,439
Speaker 1: sort of park it somewhere hide the money. But I mean, hey,

799
00:44:06,560 --> 00:44:08,000
Speaker 1: you get what you pay for. He doesn't. He don't

800
00:44:08,000 --> 00:44:10,399
Speaker 1: have the best people, only the best people he's It's

801
00:44:10,480 --> 00:44:14,160
Speaker 1: just we're so outclassed. I mean, he really Putin is

802
00:44:14,320 --> 00:44:18,440
Speaker 1: making his point that like democracy doesn't work that well man, right,

803
00:44:19,320 --> 00:44:21,440
Speaker 1: because you can get fooled by a jackass like this,

804
00:44:21,640 --> 00:44:24,320
Speaker 1: and then you have one of your dumbest people running

805
00:44:24,360 --> 00:44:30,160
Speaker 1: the country just because he was good at manipulating public opinion. Now,

806
00:44:30,560 --> 00:44:33,920
Speaker 1: like look at him compared to me. You know, well,

807
00:44:34,000 --> 00:44:36,320
Speaker 1: let's not be you know, Leon, let with it, you know,

808
00:44:36,520 --> 00:44:40,560
Speaker 1: and start pulling the football out of becomes smacking it out.

809
00:44:40,680 --> 00:44:43,160
Speaker 1: I'm scared for the country, Like, I don't think the

810
00:44:43,239 --> 00:44:45,960
Speaker 1: country is in a really bad place damage I don't

811
00:44:46,080 --> 00:44:49,200
Speaker 1: so severe, I don't. I don't think that there's any

812
00:44:49,360 --> 00:44:52,160
Speaker 1: guarantee that, you know, the Muller investigation is gonna like

813
00:44:52,280 --> 00:44:54,840
Speaker 1: bring him down in any dramatic way. I'm just saying, like,

814
00:44:55,440 --> 00:44:59,480
Speaker 1: in terms of the game of chess between Putin and Trump,

815
00:45:00,320 --> 00:45:03,200
Speaker 1: not even think it was over in three moves, and

816
00:45:03,280 --> 00:45:06,040
Speaker 1: then we've all just been watching it, like watching him

817
00:45:06,320 --> 00:45:09,359
Speaker 1: fucking cripple walk on him or whatever. Right well, even

818
00:45:09,440 --> 00:45:11,640
Speaker 1: now even look at the chess game between Mueller and Trump,

819
00:45:11,719 --> 00:45:15,719
Speaker 1: and Mueller's also just smashing him to bits too. And

820
00:45:15,880 --> 00:45:17,759
Speaker 1: again not to say that this is going to lead

821
00:45:17,760 --> 00:45:20,160
Speaker 1: to the inevitable demise of the administration or whatever, but

822
00:45:20,200 --> 00:45:24,359
Speaker 1: from the legal standpoint, he is definitely setting up moves. Well,

823
00:45:24,360 --> 00:45:25,960
Speaker 1: if this makes it so easy to beat, bro, how

824
00:45:26,000 --> 00:45:29,520
Speaker 1: I get in on this game? Because how do I

825
00:45:29,600 --> 00:45:33,560
Speaker 1: bet on this? I could beat this. Vegas is taking

826
00:45:33,560 --> 00:45:36,520
Speaker 1: action on well, but they're taking action on whether he

827
00:45:37,040 --> 00:45:40,799
Speaker 1: finishes this term. They're sick fox bro. That's come on, bro,

828
00:45:40,920 --> 00:45:43,919
Speaker 1: ya can't be betting like that, they can. I feel

829
00:45:43,960 --> 00:45:45,920
Speaker 1: like Vegas a bet. I'm like, yo, are we all

830
00:45:46,000 --> 00:45:48,799
Speaker 1: going to go to jail? Like we're all gone? They're

831
00:45:48,800 --> 00:45:50,640
Speaker 1: taking bets on this ship was gonna collect after that

832
00:45:50,719 --> 00:45:53,480
Speaker 1: if we all do. I think it's Scottish casinos. Actually

833
00:45:53,680 --> 00:45:59,160
Speaker 1: it's the casinos in the UK that Vegas hot. I

834
00:45:59,200 --> 00:46:04,840
Speaker 1: want to apologize, y'all are a respectable institution. Is so

835
00:46:05,080 --> 00:46:08,840
Speaker 1: respectable and uh ethical, and we would not like to

836
00:46:09,080 --> 00:46:13,759
Speaker 1: suggest otherwise. And then so Cohen's guilty plea is being

837
00:46:13,880 --> 00:46:17,120
Speaker 1: used to kind of at least people are pointing to

838
00:46:17,239 --> 00:46:20,640
Speaker 1: it as maybe an indication that a lot of people

839
00:46:20,680 --> 00:46:24,000
Speaker 1: in the Trump organization and nuns and the GOP may

840
00:46:24,040 --> 00:46:28,359
Speaker 1: have actually helped Mueller. Yes, well, we all knew how

841
00:46:29,200 --> 00:46:33,600
Speaker 1: whack that Devin Noon as House Special Intelligence Committee on

842
00:46:33,680 --> 00:46:36,160
Speaker 1: like the Russia investigation worked. It was a total clown

843
00:46:36,200 --> 00:46:41,239
Speaker 1: show in which, basically because it was so partisan, anytime

844
00:46:41,400 --> 00:46:44,440
Speaker 1: people from the executive branch came in or Trump officials

845
00:46:44,480 --> 00:46:46,680
Speaker 1: from the campaign came into testify about what they knew

846
00:46:46,680 --> 00:46:49,080
Speaker 1: about Russian meddling, they were just like, I don't know,

847
00:46:49,280 --> 00:46:52,960
Speaker 1: just basically sort of nearly encouraged to lie. Because at

848
00:46:53,000 --> 00:46:55,120
Speaker 1: the end of the day, the way like lying to

849
00:46:55,239 --> 00:46:57,840
Speaker 1: Congress charges work is I think it's only happened like

850
00:46:57,960 --> 00:47:00,680
Speaker 1: six times before Michael Cohen in the history of the

851
00:47:00,800 --> 00:47:03,200
Speaker 1: of the Congress. And that's because usually it's not something

852
00:47:03,239 --> 00:47:06,919
Speaker 1: that an external law enforcement organization looks at and analyzes.

853
00:47:07,160 --> 00:47:09,520
Speaker 1: It's usually on the members of Congress to take and

854
00:47:09,560 --> 00:47:11,719
Speaker 1: look at the information say Okay, I think we need

855
00:47:11,920 --> 00:47:14,360
Speaker 1: this person clearly lied to us. Now you need to

856
00:47:14,400 --> 00:47:17,200
Speaker 1: begin like charges against this person. So for a lot

857
00:47:17,239 --> 00:47:19,680
Speaker 1: of these people, like the Paul Manaforts Michael Cohen's of

858
00:47:19,719 --> 00:47:22,879
Speaker 1: the world, they went in there feeling great because they're like, oh,

859
00:47:23,400 --> 00:47:24,960
Speaker 1: the homie runs the thing. He's not gonna make it

860
00:47:25,040 --> 00:47:27,359
Speaker 1: hot for me, so I can say whatever I want.

861
00:47:27,960 --> 00:47:31,040
Speaker 1: So now cut to Michael Cohen pleading guilty. I did

862
00:47:31,160 --> 00:47:34,080
Speaker 1: lie to all these people. And the thing is, Robert

863
00:47:34,160 --> 00:47:36,279
Speaker 1: Mueller has not been able to look at the transcripts

864
00:47:36,360 --> 00:47:39,320
Speaker 1: of what Devin Nounez and Trey Gaudy all the like,

865
00:47:39,440 --> 00:47:42,200
Speaker 1: what the actual testimony was from these other officials who

866
00:47:42,239 --> 00:47:44,799
Speaker 1: testified in front of this house Committee where they were

867
00:47:44,840 --> 00:47:49,480
Speaker 1: basically encouraging people from the Trump or so basically the

868
00:47:49,560 --> 00:47:54,239
Speaker 1: House is like D'Angelo Russell and Trump's team is like, uh,

869
00:47:54,480 --> 00:47:57,320
Speaker 1: swaggy pe but out being like fun this bitch of

870
00:47:58,160 --> 00:47:59,919
Speaker 1: this girl, and they're like, oh yeah, yeah, yeah yeah,

871
00:48:00,120 --> 00:48:04,400
Speaker 1: tell me more, tell me more. And then we're in

872
00:48:04,480 --> 00:48:07,080
Speaker 1: a way. But here's the deal. Now that the homie,

873
00:48:07,239 --> 00:48:10,080
Speaker 1: Devin Nunez can no longer keep that information away from

874
00:48:10,160 --> 00:48:12,560
Speaker 1: Robert Mueller because now that the House has gone blue,

875
00:48:13,160 --> 00:48:16,239
Speaker 1: that means Adam Schiff now runs that and he's said,

876
00:48:16,520 --> 00:48:19,520
Speaker 1: I'm giving everything to Robert Mueller. See, I had a

877
00:48:19,640 --> 00:48:22,000
Speaker 1: feeling that Devin Nunez wasn't that good at planning for

878
00:48:22,080 --> 00:48:24,640
Speaker 1: the future when he got a call from Trump and

879
00:48:24,880 --> 00:48:28,920
Speaker 1: like ran out into traffic because like to pretend that

880
00:48:28,960 --> 00:48:30,840
Speaker 1: he was doing like a good thing. Yeah, he jumped

881
00:48:30,880 --> 00:48:32,960
Speaker 1: out of a car in the middle of traffic to

882
00:48:33,120 --> 00:48:35,120
Speaker 1: like go to the White House to be like, yes, sir,

883
00:48:35,560 --> 00:48:38,080
Speaker 1: whatever you say, here's this information. I'm going to pretend

884
00:48:38,160 --> 00:48:40,279
Speaker 1: that I you didn't just give me, but I will

885
00:48:40,360 --> 00:48:43,239
Speaker 1: pretend I'm giving you from my sources. It was very convoluted,

886
00:48:43,239 --> 00:48:45,520
Speaker 1: And you're saying that guy doesn't plan for the future.

887
00:48:45,520 --> 00:48:48,120
Speaker 1: But the thing is now that they have Cohen saying that,

888
00:48:48,280 --> 00:48:49,879
Speaker 1: and then now they'll be able to look at other

889
00:48:49,920 --> 00:48:54,160
Speaker 1: people's testimony. That means people like Donald Trump Jr. Ivanka,

890
00:48:54,280 --> 00:48:56,880
Speaker 1: there are a lot of other people who they might

891
00:48:56,960 --> 00:49:00,960
Speaker 1: have their turn now because now you're looking at there like, oh, well,

892
00:49:01,000 --> 00:49:05,200
Speaker 1: we have you on wax now saying lies about this

893
00:49:05,280 --> 00:49:10,239
Speaker 1: girl wears glasses and I'm Hella and she just let

894
00:49:10,280 --> 00:49:14,600
Speaker 1: her hair down. Yeah, And so I think that's where

895
00:49:14,600 --> 00:49:16,759
Speaker 1: it's going to get really interesting now because Trump has

896
00:49:16,760 --> 00:49:19,080
Speaker 1: always said like, if they get near my family, I

897
00:49:19,120 --> 00:49:21,840
Speaker 1: mean like like he gives a fun but but what happens,

898
00:49:21,840 --> 00:49:23,520
Speaker 1: and then we'll also see how loyal his kids are.

899
00:49:23,800 --> 00:49:26,479
Speaker 1: He's also been at all He's also been talking about

900
00:49:26,719 --> 00:49:30,160
Speaker 1: how he's drawn a red line around his business and

901
00:49:30,320 --> 00:49:34,520
Speaker 1: it's you know, Mueller's looking at your business now, and

902
00:49:35,239 --> 00:49:36,919
Speaker 1: I don't know that you can get away with doing

903
00:49:36,960 --> 00:49:40,239
Speaker 1: shit about that. All right, we're gonna take another quick break.

904
00:49:40,320 --> 00:49:54,399
Speaker 1: We'll be right back, and we're back, and we wanted

905
00:49:54,440 --> 00:49:58,840
Speaker 1: to talk about the both of them. John shooting because

906
00:49:59,120 --> 00:50:07,120
Speaker 1: his murderer has finally been charged with get this murder. Yeah, Yeah,

907
00:50:07,360 --> 00:50:11,120
Speaker 1: Initially when the if you don't remember, Amber Geiger claimed

908
00:50:11,440 --> 00:50:13,759
Speaker 1: that she had wandered into what she thought was her

909
00:50:13,800 --> 00:50:17,239
Speaker 1: apartment and a mysterious black man was there, so she

910
00:50:17,360 --> 00:50:20,120
Speaker 1: had to clap him up. And the police she's a

911
00:50:20,160 --> 00:50:22,680
Speaker 1: police officer, and at the time everyone was like, this

912
00:50:22,920 --> 00:50:26,880
Speaker 1: is so transparently a murder, like it's disgusting. And you know,

913
00:50:27,239 --> 00:50:29,920
Speaker 1: the Texas Rangers, you know, led by Chuck Morrison, a

914
00:50:30,080 --> 00:50:32,799
Speaker 1: rod they did their little investigation and they came back

915
00:50:32,880 --> 00:50:34,919
Speaker 1: they said, I think this is only a manslaughter charge.

916
00:50:35,200 --> 00:50:37,520
Speaker 1: But then the Dallas d A did their own investigation,

917
00:50:37,880 --> 00:50:40,920
Speaker 1: combed through the evidence, interviewed over three people in which

918
00:50:40,960 --> 00:50:42,960
Speaker 1: people who were like on the same floor as both

919
00:50:43,000 --> 00:50:45,759
Speaker 1: of genre saying I heard her knock on the door,

920
00:50:45,880 --> 00:50:48,279
Speaker 1: asked to be let in, and then the gunshots rang out.

921
00:50:48,760 --> 00:50:50,759
Speaker 1: That sort of began to give them the idea like,

922
00:50:50,880 --> 00:50:53,279
Speaker 1: oh so this this was more than just like me

923
00:50:53,440 --> 00:50:56,560
Speaker 1: fiddling her like her version, which was I stumbled into

924
00:50:56,600 --> 00:50:58,560
Speaker 1: the wrong unit. How did you even get in? There

925
00:50:58,719 --> 00:51:00,560
Speaker 1: was unlocked? Like who let you in? Not like your

926
00:51:00,600 --> 00:51:03,200
Speaker 1: key would work for that? Do we know why she

927
00:51:03,640 --> 00:51:06,279
Speaker 1: what she was doing? Was she drunk? They don't know.

928
00:51:06,320 --> 00:51:08,600
Speaker 1: I don't know. I mean, I haven't read into it

929
00:51:08,719 --> 00:51:10,840
Speaker 1: that much because at this point I don't care what

930
00:51:11,040 --> 00:51:13,600
Speaker 1: the funk the problem was. It's just so we don't

931
00:51:13,680 --> 00:51:18,960
Speaker 1: do that ship. Yeah, obviously I got some questions. How

932
00:51:19,000 --> 00:51:20,880
Speaker 1: do I ask this? Well, the first question is, I

933
00:51:20,920 --> 00:51:24,600
Speaker 1: remember it came out that he had like gun like

934
00:51:24,760 --> 00:51:27,279
Speaker 1: ammunition in his in his house and stuff like that,

935
00:51:27,360 --> 00:51:29,279
Speaker 1: like they found all that. Were they able to figure

936
00:51:29,320 --> 00:51:31,160
Speaker 1: out what that was about or anything like that? I

937
00:51:31,200 --> 00:51:33,200
Speaker 1: don't know. I think there's a lot of mysterior relevant

938
00:51:33,239 --> 00:51:34,680
Speaker 1: at that point. I mean, like the big thing after

939
00:51:34,719 --> 00:51:36,640
Speaker 1: it was like they found weed. Yeah, that was when

940
00:51:36,719 --> 00:51:40,480
Speaker 1: it was like how you're trying to justify his who cares?

941
00:51:41,640 --> 00:51:44,680
Speaker 1: But like initially you know, it wasn't manslade or charge.

942
00:51:44,719 --> 00:51:47,560
Speaker 1: And I guess the legal hook here is that murder

943
00:51:47,640 --> 00:51:50,120
Speaker 1: will even though that the penalty will be much higher,

944
00:51:50,320 --> 00:51:53,000
Speaker 1: it would be much harder to prove. But you know what,

945
00:51:53,360 --> 00:51:56,000
Speaker 1: I have a feeling if people with half a brain,

946
00:51:56,080 --> 00:51:57,799
Speaker 1: I hope they do have one, that they look at

947
00:51:57,840 --> 00:52:00,400
Speaker 1: the evidence, at least from even what I've report or

948
00:52:00,480 --> 00:52:02,360
Speaker 1: what I've seen from the reporting, if it is in

949
00:52:02,480 --> 00:52:06,759
Speaker 1: fact truthful, it seems like such an egregious act and

950
00:52:06,920 --> 00:52:09,880
Speaker 1: overstep from a police officer to just commit murder against

951
00:52:09,920 --> 00:52:12,319
Speaker 1: another person of color who was unarmed in their own home.

952
00:52:12,440 --> 00:52:16,120
Speaker 1: Like this was like peak police fuckory, Like you can't

953
00:52:16,160 --> 00:52:18,799
Speaker 1: even front this with like the whole I mean, it's

954
00:52:18,880 --> 00:52:22,040
Speaker 1: crazy because these other cases at least like there was

955
00:52:22,080 --> 00:52:23,799
Speaker 1: like maybe like a struggle, like there was like these

956
00:52:23,880 --> 00:52:26,239
Speaker 1: other things around it. But the cases this year have

957
00:52:26,440 --> 00:52:30,480
Speaker 1: been so mind bogglingly like trash, like the one where

958
00:52:30,520 --> 00:52:33,600
Speaker 1: they killed the wrong guy again, did you see that

959
00:52:33,840 --> 00:52:36,120
Speaker 1: at the shooting with the good guy with the gun

960
00:52:36,200 --> 00:52:38,759
Speaker 1: scenario women, they killed him. And then there was the

961
00:52:38,800 --> 00:52:41,360
Speaker 1: one at the bar or the security guard stopped a

962
00:52:41,400 --> 00:52:43,520
Speaker 1: shooting and then they killed him. So like this year,

963
00:52:43,560 --> 00:52:46,399
Speaker 1: I'm just like, man, at least the other ones who

964
00:52:46,440 --> 00:52:49,480
Speaker 1: are arresting went too far. I don't even want to

965
00:52:49,520 --> 00:52:51,279
Speaker 1: give him that, but it's just like this one is

966
00:52:51,320 --> 00:52:53,799
Speaker 1: just like man, y'all are just fucking up now where

967
00:52:53,840 --> 00:52:57,359
Speaker 1: you're all are just killing the wrong mega's overall, well,

968
00:52:57,440 --> 00:53:00,960
Speaker 1: I'm glad to see that this has least got someone

969
00:53:01,200 --> 00:53:03,880
Speaker 1: on trial for murder, yeah, because it used to just

970
00:53:03,960 --> 00:53:08,479
Speaker 1: be like well, well manslaughter or like you know, yeah,

971
00:53:08,840 --> 00:53:12,680
Speaker 1: but yeah, this one's like, you knocked on somebody's door. Yeah,

972
00:53:13,000 --> 00:53:14,680
Speaker 1: killed a person in their own home. Yeah, it's not

973
00:53:14,800 --> 00:53:17,680
Speaker 1: like she fired a gun out in the hallway and

974
00:53:17,760 --> 00:53:20,680
Speaker 1: it went through well yeah, exactly what an Errande shot

975
00:53:20,760 --> 00:53:24,319
Speaker 1: that was hit an innocent by the trader Joe situation. Right.

976
00:53:24,520 --> 00:53:27,719
Speaker 1: I just hope that his family does see justice, and God,

977
00:53:27,760 --> 00:53:29,799
Speaker 1: I just couldn't. I hope that we can at least

978
00:53:30,280 --> 00:53:33,040
Speaker 1: whatever it's. It's tie this guy thinking I'm too cynical

979
00:53:33,080 --> 00:53:35,400
Speaker 1: when it comes to police shootings, but like, please, like

980
00:53:35,520 --> 00:53:38,600
Speaker 1: can we begin give us a break here, man? What

981
00:53:38,719 --> 00:53:42,760
Speaker 1: made you so cynical about police shooting? Man in American history?

982
00:53:44,239 --> 00:53:53,880
Speaker 1: X M y U has launched a study that seems

983
00:53:53,920 --> 00:53:57,960
Speaker 1: like it might literally just be designed to troll Trump

984
00:53:58,120 --> 00:54:01,160
Speaker 1: people in the Internet at large. The Internet at large,

985
00:54:01,239 --> 00:54:06,360
Speaker 1: So they're studying whether there's a connection between fragile masculinity

986
00:54:06,680 --> 00:54:10,440
Speaker 1: and voting habits, with the idea of like whether Trump

987
00:54:10,520 --> 00:54:15,640
Speaker 1: supporters are more likely to google things such as erectile dysfunction,

988
00:54:15,960 --> 00:54:22,480
Speaker 1: hair loss, how to get girls, penis enlargement, penis size, steroids, testosterone,

989
00:54:22,719 --> 00:54:25,160
Speaker 1: and viagra. I'm not gonna lieve google two of those things.

990
00:54:25,840 --> 00:54:29,120
Speaker 1: I have Google couple of things. Hair got I want

991
00:54:29,200 --> 00:54:33,799
Speaker 1: Nobody asked you to speculate. We've all googled hair loss,

992
00:54:36,880 --> 00:54:39,800
Speaker 1: how to get girls. I'll be honest, how to be

993
00:54:44,600 --> 00:54:46,279
Speaker 1: I'm so good at it now. Yeah, Well, of the

994
00:54:46,520 --> 00:54:49,560
Speaker 1: study is interesting because they haven't found like causation, but

995
00:54:49,719 --> 00:54:54,359
Speaker 1: there's a lot of correlational evidence because you know, they

996
00:54:54,440 --> 00:54:57,320
Speaker 1: were saying that, you know that, according to the study,

997
00:54:57,400 --> 00:54:59,920
Speaker 1: that the political process provides a way that fragile man

998
00:55:00,080 --> 00:55:03,840
Speaker 1: can reaffirm their masculinity. By supporting tough politicians and policies,

999
00:55:04,120 --> 00:55:07,319
Speaker 1: men can reassure others and themselves of their own manliness.

1000
00:55:07,880 --> 00:55:10,399
Speaker 1: Uh So they give an example that this sociologist named

1001
00:55:10,480 --> 00:55:13,640
Speaker 1: Rob Willer has shown that men whose sense of masculinity

1002
00:55:13,880 --> 00:55:17,320
Speaker 1: was threatened increase their support of aggressive foreign policy. So

1003
00:55:17,440 --> 00:55:18,960
Speaker 1: so far I get that. I see that. I see

1004
00:55:18,960 --> 00:55:21,640
Speaker 1: how that goes because I feel powerful, right exactly. And

1005
00:55:21,719 --> 00:55:23,279
Speaker 1: if you're one of these people who's like, well, I

1006
00:55:23,400 --> 00:55:25,680
Speaker 1: like dancing, but I don't want to think I'm a woman,

1007
00:55:26,120 --> 00:55:29,080
Speaker 1: so I have to then compensate by racist or being

1008
00:55:29,120 --> 00:55:32,680
Speaker 1: like by coppy, this vitriolic rhetoric against immigrants or some ship.

1009
00:55:33,160 --> 00:55:35,359
Speaker 1: That's sort of like the balancing act that these people,

1010
00:55:35,520 --> 00:55:37,520
Speaker 1: and I have to admit that nothing has ever gotten

1011
00:55:37,600 --> 00:55:43,840
Speaker 1: my dick more hard than a Trump rally, those magahets.

1012
00:55:45,840 --> 00:55:47,920
Speaker 1: But I think, you know, I guess that was the

1013
00:55:47,960 --> 00:55:49,799
Speaker 1: next step for this study was like, Okay, well, then

1014
00:55:49,840 --> 00:55:52,640
Speaker 1: how can you map these search terms or these ideas

1015
00:55:52,719 --> 00:55:56,239
Speaker 1: to then like some kind of voting behavior. And well,

1016
00:55:56,360 --> 00:55:57,520
Speaker 1: first what they had to do is like look at

1017
00:55:57,560 --> 00:55:59,239
Speaker 1: all those search terms and see if there was a

1018
00:55:59,280 --> 00:56:02,960
Speaker 1: connection between that and people's like sort of fragile masculinity,

1019
00:56:03,000 --> 00:56:05,360
Speaker 1: and if the people who searched those also we're in

1020
00:56:05,400 --> 00:56:07,839
Speaker 1: a bucket of men who were concerned about living up

1021
00:56:07,840 --> 00:56:11,440
Speaker 1: to the ideals of manhood. And they were like, okay,

1022
00:56:11,560 --> 00:56:14,279
Speaker 1: they were they were actually seeing a high probability that's

1023
00:56:14,320 --> 00:56:16,799
Speaker 1: also the case. So then they took that a step

1024
00:56:16,880 --> 00:56:21,360
Speaker 1: further and they basically mapped that against how the voting

1025
00:56:21,520 --> 00:56:24,919
Speaker 1: like the heat map against like just the general map

1026
00:56:24,960 --> 00:56:27,720
Speaker 1: of the United States, and you can see that, Okay,

1027
00:56:27,920 --> 00:56:31,640
Speaker 1: we're seeing a high concentration in Trump country. I mean,

1028
00:56:31,680 --> 00:56:33,800
Speaker 1: there are certain areas where it might be a little

1029
00:56:34,120 --> 00:56:37,279
Speaker 1: different than other times. But again, I think we're not

1030
00:56:37,400 --> 00:56:40,960
Speaker 1: saying it's causation, but there is correlation because it's not

1031
00:56:41,040 --> 00:56:42,719
Speaker 1: a perfect science, but when you sort of look at

1032
00:56:42,760 --> 00:56:46,560
Speaker 1: where the heat is, like, okay in Texas the Bible Belt,

1033
00:56:47,200 --> 00:56:50,680
Speaker 1: we're seeing a little something in the southeast. It's also

1034
00:56:50,800 --> 00:56:53,960
Speaker 1: crazy that chicken just got dropped off at the podcast

1035
00:56:54,120 --> 00:56:57,560
Speaker 1: just now. Yeah, jack just came through with the chicken delivery.

1036
00:56:58,400 --> 00:57:01,320
Speaker 1: Jakes was good, man. Jackie looks so in his element

1037
00:57:01,440 --> 00:57:06,960
Speaker 1: with his like Chicago cold weather Garbon. Yeah, he's got

1038
00:57:07,239 --> 00:57:12,560
Speaker 1: he's got a scarf and he's pulling it off. And

1039
00:57:12,680 --> 00:57:14,560
Speaker 1: then just the last thing we wanted to talk about,

1040
00:57:14,560 --> 00:57:19,080
Speaker 1: speaking of cold weather, Alaska got just rocked by a

1041
00:57:19,320 --> 00:57:23,360
Speaker 1: seven point oh earthquake. The pictures are wild, man. I

1042
00:57:23,400 --> 00:57:25,960
Speaker 1: don't know if it's because the ground was frozen or something,

1043
00:57:26,080 --> 00:57:29,520
Speaker 1: but like it just there's just giant cracks, like should

1044
00:57:29,600 --> 00:57:40,120
Speaker 1: they haven't? And what the funks up with your boys? Um?

1045
00:57:40,880 --> 00:57:45,120
Speaker 1: This actually ties into a weird thing that happened on Sunday,

1046
00:57:45,320 --> 00:57:48,520
Speaker 1: the eleventh of November. There was a series of unusual

1047
00:57:48,680 --> 00:57:53,160
Speaker 1: seismic pulses that rippled around the world that only like

1048
00:57:53,360 --> 00:57:56,160
Speaker 1: one person who's a seismologist was paying attention to it.

1049
00:57:56,520 --> 00:57:59,120
Speaker 1: It wasn't even perceptible, but they say it was like

1050
00:57:59,720 --> 00:58:03,520
Speaker 1: it caused this island to like vibrate at a weird frequency,

1051
00:58:03,880 --> 00:58:06,720
Speaker 1: and then it like traveled around the world like it

1052
00:58:06,840 --> 00:58:09,480
Speaker 1: went so the way they talked about it, it made

1053
00:58:09,560 --> 00:58:13,360
Speaker 1: this island, a small island in the Indian Ocean between

1054
00:58:13,400 --> 00:58:17,200
Speaker 1: Madagascar and Africa, ring like a bell for twenty minutes.

1055
00:58:17,680 --> 00:58:22,040
Speaker 1: From there, it reverberated across Africa, setting off geological sensors

1056
00:58:22,080 --> 00:58:26,320
Speaker 1: in Zambia, Kenya, and Ethiopia uh and then across the

1057
00:58:26,400 --> 00:58:30,680
Speaker 1: Atlantic where it could be picked up in Chile, New Zealand, Canada,

1058
00:58:30,760 --> 00:58:34,760
Speaker 1: and even Hawaii, nearly eleven thousand miles away from the

1059
00:58:34,840 --> 00:58:40,040
Speaker 1: original site of the seismic activity, and seismologists were saying,

1060
00:58:40,080 --> 00:58:42,480
Speaker 1: I don't think I've seen anything like it. So it's

1061
00:58:42,520 --> 00:58:45,600
Speaker 1: just this like weird mystery where it's just another one

1062
00:58:45,640 --> 00:58:47,880
Speaker 1: of those stories where you're like, oh, we don't know

1063
00:58:48,000 --> 00:58:50,400
Speaker 1: how any of this ship works. Or maybe somebody was

1064
00:58:50,400 --> 00:58:54,360
Speaker 1: playing mo bamba really loud, right, so loud that you

1065
00:58:54,440 --> 00:58:57,280
Speaker 1: could hear it from the Indian Ocean to Hawaii. See,

1066
00:58:57,360 --> 00:58:59,080
Speaker 1: this is the constry that keeps me up. Do you remember,

1067
00:58:59,160 --> 00:59:02,000
Speaker 1: like a few years ago when all those animals that

1068
00:59:02,040 --> 00:59:04,400
Speaker 1: started walking out of Yosemite Park and no one could

1069
00:59:04,440 --> 00:59:08,200
Speaker 1: explain why that. It was like some big groups of

1070
00:59:08,280 --> 00:59:11,000
Speaker 1: bison just like leaving Yosemite Park and everyone's just like,

1071
00:59:11,160 --> 00:59:13,360
Speaker 1: we don't know what's happening. I was up for like

1072
00:59:13,560 --> 00:59:16,560
Speaker 1: days because like, man, the big ones coming right, No,

1073
00:59:17,000 --> 00:59:18,880
Speaker 1: So now Jack's just giving me some ship that I'm

1074
00:59:18,880 --> 00:59:21,680
Speaker 1: gonna freak out, Like I'm like, are you You're not

1075
00:59:21,760 --> 00:59:24,280
Speaker 1: into earthquakes? I just don't. I mean I've only felt

1076
00:59:24,320 --> 00:59:27,520
Speaker 1: one once. I was like, this is very unimpressive. But

1077
00:59:27,600 --> 00:59:29,320
Speaker 1: now I feel like it's gonna get back at me now,

1078
00:59:29,400 --> 00:59:35,320
Speaker 1: like you know, because isn't Eli, like our California overall

1079
00:59:35,440 --> 00:59:37,680
Speaker 1: due for a big one. It's due for like one

1080
00:59:37,760 --> 00:59:40,240
Speaker 1: for the ages. And when you look at the fault lines, man,

1081
00:59:40,280 --> 00:59:41,920
Speaker 1: there's one that like goes along the five. They will

1082
00:59:41,920 --> 00:59:44,640
Speaker 1: cut through Burbank. There's another fault line that goes through downtown.

1083
00:59:44,720 --> 00:59:46,680
Speaker 1: Don't tell me these l a is do for the

1084
00:59:46,760 --> 00:59:51,520
Speaker 1: biggest earthquake of our lifetime. But there's this fault up

1085
00:59:51,560 --> 00:59:55,880
Speaker 1: in the northwest, the Pacific Northwest that is like they

1086
00:59:55,960 --> 01:00:00,360
Speaker 1: think Portland's going to be gone, like they it's in sane.

1087
01:00:00,520 --> 01:00:03,200
Speaker 1: It's called like the really big one because they just

1088
01:00:03,320 --> 01:00:06,080
Speaker 1: found out about it like five years ago. And the

1089
01:00:06,160 --> 01:00:09,200
Speaker 1: way they found out about it was there was this

1090
01:00:09,560 --> 01:00:13,560
Speaker 1: ghost forest they called it over in Japan, and it

1091
01:00:13,720 --> 01:00:17,520
Speaker 1: was like a story from Japan about this ghost tsunami

1092
01:00:17,640 --> 01:00:19,800
Speaker 1: that came out of nowhere. They didn't know where it

1093
01:00:19,880 --> 01:00:21,720
Speaker 1: came from because there wasn't an earthquake that could be

1094
01:00:21,800 --> 01:00:24,280
Speaker 1: felt in Japan, and it killed all the trees in

1095
01:00:24,400 --> 01:00:26,280
Speaker 1: this forest and they were just like, what, what the

1096
01:00:26,360 --> 01:00:29,720
Speaker 1: fun was that? And then from that fault and from

1097
01:00:29,800 --> 01:00:33,040
Speaker 1: the fault off of America, and it traveled all the

1098
01:00:33,080 --> 01:00:35,960
Speaker 1: way across the Pacific Ocean and caused a huge tsunami

1099
01:00:36,040 --> 01:00:38,840
Speaker 1: over there, and that was like a hundred It was

1100
01:00:39,160 --> 01:00:43,880
Speaker 1: before people were officially like here and paying attention to

1101
01:00:44,000 --> 01:00:48,080
Speaker 1: the Pacific Northwest in the United States. And so Japan

1102
01:00:48,200 --> 01:00:51,439
Speaker 1: has been paying attention to this ship forever. We don't

1103
01:00:51,440 --> 01:00:54,240
Speaker 1: forget right, shout out to Pearl Harbor, but had to

1104
01:00:54,320 --> 01:00:58,919
Speaker 1: come in and really torn about tsunami and ProAb. Yeah,

1105
01:00:58,920 --> 01:01:00,880
Speaker 1: it's really tough, man, it's tough. I think I sucked

1106
01:01:00,920 --> 01:01:03,880
Speaker 1: that up. I think the ghost Forest is actually in Portland,

1107
01:01:03,960 --> 01:01:06,120
Speaker 1: and they didn't know where it came from, and that's

1108
01:01:06,640 --> 01:01:09,400
Speaker 1: how they figured out and Japan just had the ghost

1109
01:01:09,480 --> 01:01:12,240
Speaker 1: tsunami and they didn't know where that came. Okay, no,

1110
01:01:12,360 --> 01:01:14,320
Speaker 1: but I have heard about lad, like the sort of

1111
01:01:14,800 --> 01:01:18,360
Speaker 1: inexplicable tsunami that just came out of nowhere. Yeah, it's

1112
01:01:18,400 --> 01:01:25,000
Speaker 1: called the Cascadia fault line. You don't live the whole

1113
01:01:25,000 --> 01:01:27,080
Speaker 1: time we were talking. Your head, his face buried in.

1114
01:01:27,120 --> 01:01:31,000
Speaker 1: It's called the Cascadia surfunction zone, and it's basically where

1115
01:01:31,360 --> 01:01:36,240
Speaker 1: the continental shelf, like under the Pacific Ocean like digs

1116
01:01:36,560 --> 01:01:40,680
Speaker 1: into like the landmass. That is the where can people

1117
01:01:40,720 --> 01:01:46,840
Speaker 1: find you? Where my lug out? It's snary, bro, It's

1118
01:01:46,840 --> 01:01:49,360
Speaker 1: scary because it's something that we can't stop, you know

1119
01:01:49,360 --> 01:01:52,800
Speaker 1: what I'm saying, So helpless anything. If it happens, it happens.

1120
01:01:52,800 --> 01:01:55,919
Speaker 1: It's underneath your feet. The hurricane, you know it's coming.

1121
01:01:55,960 --> 01:01:58,040
Speaker 1: You can you can see that coming fire. You have

1122
01:01:58,120 --> 01:01:59,920
Speaker 1: a little bit of a chance. But yeah, I mean,

1123
01:02:00,200 --> 01:02:03,200
Speaker 1: like all land masses used to be one land mass

1124
01:02:03,440 --> 01:02:06,560
Speaker 1: and then it's just been like a process of earthquakes

1125
01:02:06,600 --> 01:02:08,560
Speaker 1: that have like broken them apart. I don't know. You're

1126
01:02:08,600 --> 01:02:17,120
Speaker 1: a creationist and Jesus was writing dinosaursnosaurs, Yeah, they're still around.

1127
01:02:17,400 --> 01:02:19,360
Speaker 1: They're still around. You're just not looking hard enough. Right,

1128
01:02:20,520 --> 01:02:24,440
Speaker 1: Jesus is gonna come back writing one, and they weren't

1129
01:02:24,480 --> 01:02:26,080
Speaker 1: real if I can't see you know, if Jesus came

1130
01:02:26,120 --> 01:02:28,280
Speaker 1: back writing a dinosaur, that would be pretty tight. That

1131
01:02:28,320 --> 01:02:31,120
Speaker 1: would I would regret not living a good life so

1132
01:02:31,160 --> 01:02:34,240
Speaker 1: I can go to heaven, right right right? All right? Well,

1133
01:02:34,520 --> 01:02:39,120
Speaker 1: I think that's a good note to everybody's dinosaur fantasy. Yeah,

1134
01:02:40,160 --> 01:02:42,600
Speaker 1: it's been lovely having you. Thank you for having me.

1135
01:02:42,880 --> 01:02:45,360
Speaker 1: You know, I was going to apologize for my low energy,

1136
01:02:45,440 --> 01:02:47,800
Speaker 1: but I'm not because I had a wonderful date with

1137
01:02:47,960 --> 01:02:51,400
Speaker 1: Jakis all day, going to all the wonderful spots in Chicago,

1138
01:02:51,520 --> 01:02:53,280
Speaker 1: and that's why I'm a little bit tired and stuff

1139
01:02:53,280 --> 01:02:55,120
Speaker 1: like that. And I'm also been losing my voice all week.

1140
01:02:55,560 --> 01:02:58,360
Speaker 1: But thank you for having me. I'm trying to picture

1141
01:02:58,440 --> 01:03:02,600
Speaker 1: what song like the montage of you guys this day

1142
01:03:02,680 --> 01:03:05,880
Speaker 1: together would It's that one song was like do Do

1143
01:03:06,080 --> 01:03:09,400
Speaker 1: Do Do? From up the song from the beginning of

1144
01:03:10,640 --> 01:03:13,640
Speaker 1: That's what we was playing the whole time. And where

1145
01:03:13,720 --> 01:03:16,520
Speaker 1: can people find you? People can find me at Awful

1146
01:03:16,600 --> 01:03:19,600
Speaker 1: Grandma on Instagram, at Edgar was here on Twitter. But

1147
01:03:19,680 --> 01:03:23,120
Speaker 1: I want to implore people to please please watch sad

1148
01:03:23,200 --> 01:03:26,360
Speaker 1: Boy Edgar and tweet about it. It really helps me out.

1149
01:03:27,080 --> 01:03:29,160
Speaker 1: Watch all four episodes. You can find that on my

1150
01:03:29,280 --> 01:03:34,120
Speaker 1: website www dot Edgar moples here dot com and then, uh,

1151
01:03:34,480 --> 01:03:37,520
Speaker 1: just watch every episode of that, maybe tweet about it

1152
01:03:37,600 --> 01:03:40,040
Speaker 1: and stuthing like that. It just helps your boy get

1153
01:03:40,120 --> 01:03:43,280
Speaker 1: writing jobs if his web series is well talked about.

1154
01:03:43,680 --> 01:03:45,600
Speaker 1: Here you go. H and is there a tweet you

1155
01:03:45,680 --> 01:03:49,919
Speaker 1: been enjoyed? Oh yeah, this is a tweet that really

1156
01:03:50,000 --> 01:03:52,720
Speaker 1: fucked me up. I really laughed a lot. It's a

1157
01:03:52,880 --> 01:03:56,320
Speaker 1: rock sang gay who has been on a good roll

1158
01:03:56,360 --> 01:04:00,400
Speaker 1: on Twitter lately, and she tweeted the rock hip rusted

1159
01:04:00,480 --> 01:04:03,280
Speaker 1: four hundred and sixty pounds today so he could easily

1160
01:04:03,440 --> 01:04:07,600
Speaker 1: hit thrust me and then ship. Oh my god, damn,

1161
01:04:07,920 --> 01:04:14,160
Speaker 1: what a while tweet? Um, people find you follow me

1162
01:04:14,200 --> 01:04:17,680
Speaker 1: on Twitter and Instagram at miles of great And what's

1163
01:04:17,680 --> 01:04:20,080
Speaker 1: a tweet you've been enjoying? Oh? You know, I was

1164
01:04:20,120 --> 01:04:24,640
Speaker 1: one of my go tools over at productress. Uh just

1165
01:04:24,680 --> 01:04:26,960
Speaker 1: says how to realize you're still in love with your

1166
01:04:27,000 --> 01:04:32,160
Speaker 1: ex girlfriend by dating meat tweet I've been enjoying swim

1167
01:04:32,320 --> 01:04:36,160
Speaker 1: jeans at short sleep Suit, tweeted b A Baracus, I

1168
01:04:36,280 --> 01:04:39,560
Speaker 1: pitied the full pH d Baracus. I'm aware that social

1169
01:04:39,680 --> 01:04:43,560
Speaker 1: constructs lend themselves to the woes of this fool and

1170
01:04:44,240 --> 01:04:49,080
Speaker 1: izezzez Eezy tweeted tweet how the people who started bram

1171
01:04:49,160 --> 01:04:53,120
Speaker 1: Stoker's Dracula have all barely aged since probably nothing to

1172
01:04:53,160 --> 01:04:57,040
Speaker 1: wear it out. You can find me on Twitter at

1173
01:04:57,080 --> 01:04:59,120
Speaker 1: Jack on her Squirrel, Brian. You can find us on

1174
01:04:59,160 --> 01:05:01,200
Speaker 1: Twitter at daily ze guys were at the Daily z

1175
01:05:01,200 --> 01:05:03,400
Speaker 1: et Guys on Instagram. We have a Facebook campage on

1176
01:05:03,440 --> 01:05:05,840
Speaker 1: the website daily i Guys dot com where we post

1177
01:05:05,880 --> 01:05:09,680
Speaker 1: our episodes and where we link off to the information

1178
01:05:09,720 --> 01:05:12,400
Speaker 1: that we talked about in today's episode, as well as

1179
01:05:12,600 --> 01:05:14,800
Speaker 1: the song we write out on miles what's that going

1180
01:05:14,840 --> 01:05:17,400
Speaker 1: to be? I think we should go out on a

1181
01:05:17,520 --> 01:05:20,520
Speaker 1: new track from Jungle which is a good, great band

1182
01:05:20,600 --> 01:05:22,160
Speaker 1: to see live if you ever have a chance of

1183
01:05:22,400 --> 01:05:26,320
Speaker 1: very great music makes your bigger or shoot up in

1184
01:05:26,560 --> 01:05:29,440
Speaker 1: your burt uh And this one is called Cassio from

1185
01:05:29,520 --> 01:05:32,880
Speaker 1: Jungle Bird. We're gonna write out on that. We will

1186
01:05:32,920 --> 01:05:35,120
Speaker 1: be back tomorrow because it is a daily podcast. We'll

1187
01:05:35,120 --> 01:05:41,960
Speaker 1: talk to you guys and by my hot just doc

1188
01:05:42,280 --> 01:05:54,560
Speaker 1: Cashio postal wait at us, I'll send let's quote now,

1189
01:06:00,360 --> 01:06:06,600
Speaker 1: and your still hold it off. You wait for to

1190
01:06:06,800 --> 01:06:13,600
Speaker 1: know this. I don't you know the same. I just

1191
01:06:13,800 --> 01:06:14,120
Speaker 1: wanted