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Speaker 1: Hello the Internet, and welcome to season forty three, Episode

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Speaker 1: three of The Daily sight Geist for Wednesday, August eight,

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Speaker 1: two thousand eighteen. Happy fourteen year anniversary. At the time,

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Speaker 1: the Dave Matthews Band tour bus emptied at septic tank

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Speaker 1: will crossing the bridge in Chicago, dumping eight hundred pounds

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Speaker 1: of human waste on the people on an architectural tour

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Speaker 1: boat right underneath them. My name's Jack O'Brien ak hack

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Speaker 1: O Spy and courtesy off hatchi Amoto on Twitter, and

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Speaker 1: I'm thrilled to be joined as always by my co

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Speaker 1: host Mr Miles Pray my mother every day to talk

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Speaker 1: about the news. Now now thinks the SA game is

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Speaker 1: the greatest crew. But I can't post the Jack No, no,

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Speaker 1: no can do Okay. So that's a little hollow Notes

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Speaker 1: action for you from Cody Frisbee at c d Y

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Speaker 1: on Twitter. And if you know anything about me, I'm

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Speaker 1: a massive Hall Notes fan. Uh and I'm typically one

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Speaker 1: of the youngest, drunkest people at the very front of

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Speaker 1: the stage almost of their shows. So thank you go

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Speaker 1: to see them one. I I follow them. Yes, I've

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Speaker 1: been to you know, I've been a Darryl hall cous

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Speaker 1: school that AK had like the structure of a good

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Speaker 1: mystery where I didn't know what it was until the

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Speaker 1: very end, and you revealed it by saying that bad. Okay,

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Speaker 1: Well that's I'm also just not as big a Hall notes. Well,

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Speaker 1: you gotta get in the game. Man. You're a thirties something,

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Speaker 1: you're a white guy. You don't like home. I know

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Speaker 1: what's wrong with it. Well, we are thrilled, and we

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Speaker 1: joined for the first time in our thirds by the

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Speaker 1: hilarious and gifted comedian Hosco Okatska. Hi everyone, r Hello,

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Speaker 1: how are you? I'm good. I'm good dad. Yeah, thank

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Speaker 1: you for coming. I'm trying to think I've ever a

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Speaker 1: Japanese guest on it. Not It's been too long. I've

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Speaker 1: been holding a town for the Japanese up on this podcast.

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Speaker 1: So I'm very excited when I saw you coming on,

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Speaker 1: I'm one meaning to meet you. I'm only have that. Well,

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Speaker 1: I'm have too, So we make one home. Yeah, it's

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Speaker 1: really here. We are, you know how many years after

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Speaker 1: World War Two and we're making we're making things right

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Speaker 1: and a full Japanese person on a podcast. How about

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Speaker 1: that guy? Uh, Well, we're gonna get to know you

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Speaker 1: a little bit better in a moment. But first we

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Speaker 1: like to tell our listeners what they're in store for. Uh,

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Speaker 1: in addition to learning that it's the anniversary of that

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Speaker 1: Dave Matthew. Yeah, wait, hold on going back, They literally

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Speaker 1: emptied all their ship onto a boat, over a bridge,

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Speaker 1: onto a full tour boat of people, and so just

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Speaker 1: all eight hundred pounds a couple of months of Dave

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Speaker 1: Matthews literal ship just landed on the head of a

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Speaker 1: bunch of people who are in Chicago on an architectural

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Speaker 1: that just all time lucky, great moments in American history.

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Speaker 1: I didn't know that even happened. Good. Yeah, shout out

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Speaker 1: to Chicago, great great city to visit. We're gonna talk

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Speaker 1: about climate change and just what it's doing in addition

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Speaker 1: to creating the largest wildfire in California history. Uh, and

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Speaker 1: then to put out that fire. We're gonna talk about

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Speaker 1: a soothing blue wave that is starting to come into view.

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Speaker 1: We are going to talk about the GOP swamp boys boys, uh,

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Speaker 1: and just all the rampant corruption that is just sort

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Speaker 1: of falling out of the Trump administration and the GOP

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Speaker 1: these days. We're gonna talk about how these three random

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Speaker 1: mar Lago rich guys are secretly running the v A

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Speaker 1: even though they have like no association with it. And

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Speaker 1: so we're gonna talk about that in association with Trump's

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Speaker 1: golf game, which is a thing we should actually be

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Speaker 1: worried about, how much he's golfing, and with whom we

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Speaker 1: are going to talk about the new oscars. You guys, Uh,

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Speaker 1: they have buckled the pressure in the worst way possible,

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Speaker 1: it would seem. We don't know all the details, but

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Speaker 1: we're gonna speculate that it's really bad. Uh. We're going

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Speaker 1: to talk about Goldberg from Mighty Ducks. If you haven't

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Speaker 1: seen the picture, do yourself the opposite of a favor

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Speaker 1: and go check it out, just because it's heartbreaking it is.

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Speaker 1: And finally we're going to speculate about whether the Mama

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Speaker 1: Mia universe secretly takes place in purgatory. But first we

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Speaker 1: like to ask our guest otsco is there something from

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

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Speaker 1: as a human being? Right? I think it was Jason

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Speaker 1: Momoa last just his name, yeah, and Aqua man okay,

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Speaker 1: and just because he looks good as aquaman, Yeah, I know,

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Speaker 1: he looks good. He looks good. I I just haven't.

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Speaker 1: I didn't know. You know, sometimes you don't know, you know, uh, subconsciously,

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Speaker 1: who you might find a active or what you know

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Speaker 1: really gets you excited. And he was one of those,

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Speaker 1: um you know, I saw him in the poster for Aquaman,

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Speaker 1: and I think I dropped my my my phone immediately.

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Speaker 1: I have to say I always bring him up as

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Speaker 1: the most impressive famous person to see in person, just

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Speaker 1: because he is as impressive in all the ways he's

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Speaker 1: impressive on screen. In person, he's like a huge dude

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Speaker 1: with all those tattoos, and highly recommend stalking him. He's

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Speaker 1: also really easy to find. I think I've excited that

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Speaker 1: there was like a water you know men in Water theme,

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Speaker 1: you know, with Shape of Water and then Aquaman. You know,

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Speaker 1: just can you imagine going on a casual swim and

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Speaker 1: Jason Mamma shows up? Right, I would drown, you know

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Speaker 1: what I mean, and like, well he would save you,

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Speaker 1: and then that would be the beginning of your underwater

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Speaker 1: right under right. That's you know, I mean, that's assuming

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Speaker 1: he's interested too. You know, I think have you seen

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Speaker 1: the trailer for Aquaman? I actually didn't get there. Oh yeah,

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Speaker 1: you just saw what is this searching too? Well? What

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Speaker 1: other poses you know are there of him in this outfit? Yes,

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Speaker 1: so I never got to the and his like scaly

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Speaker 1: pants or whatever those are jeans. I don't know what's

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Speaker 1: he going of pants as he went, Yeah, they are

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Speaker 1: sort of like they look gene genie. I mean there's

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Speaker 1: some leather too growing on, which I don't know how

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Speaker 1: that works underwater. Yeah, there's a lot of That's why

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Speaker 1: I asked if you saw the trailer, because there's a

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Speaker 1: lot of like movement the shots under the water that

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Speaker 1: I'm like, people that doesn't look like people moving in

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Speaker 1: the water. It just sort of looks like there are

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Speaker 1: bubbles around. So they're calling it under the sea, but

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Speaker 1: everybody's moving like it's just yeah, yeah, know, like even

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Speaker 1: their hair, like you know, it was it's a trick.

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Speaker 1: You know. It's fine that we're here to see Jason

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Speaker 1: Momo either way, I don't I am yeah. Um, have

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Speaker 1: you have you watched Game of Thrones? You know his

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Speaker 1: work from Thrones? I do know his work. And then

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Speaker 1: I found out like he got the role by doing

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Speaker 1: a hawker in the audition. There were no lines or anything.

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Speaker 1: He just did a hawk and so it's a cool

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Speaker 1: way to represent Yeah, I know what a hawker is,

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Speaker 1: but for our listeners, what is that? That's like the

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Speaker 1: Kiwi New Zealand Maori war dance. Yeah yeah, and so

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Speaker 1: like yeah, they really get super pumped up and very

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Speaker 1: this this primal energy of like you know, and I

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Speaker 1: can see as an audition for a character who doesn't

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Speaker 1: speak English and it's just like running around with what

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Speaker 1: then are they all called horse Nosi with? Yeah, you

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Speaker 1: know they're gonna take hold on, they're gonna take my

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Speaker 1: game with thrones pass from me. Shoot his people you're

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Speaker 1: talking about his people? RACKI thank you super producer Nick

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Speaker 1: Stump back from vacation from vacation, Yes, the racky So yeah,

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Speaker 1: of course, Like because you're speaking made up language, you

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Speaker 1: might as well just show like I can emote like

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Speaker 1: this sort of this king of totally it's yeah, it's beautiful.

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Speaker 1: They do it before, like football games at weddings. It's

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Speaker 1: very emotional. Yeah, and now like you're starting to see

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Speaker 1: what movie was they seeing where they were like kids

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Speaker 1: doing it Like it's it's like starting to get into

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Speaker 1: like our culture. And I don't know if if people

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Speaker 1: are like appropriating it, and I'm like, it was a

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Speaker 1: lot when Neo Nazis already much with tiki torches, and

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Speaker 1: it was like, can you imagine if they did a

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Speaker 1: hawk too, to just say, you know what I mean?

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Speaker 1: They're like, at least we're doing it correctly, like Polynesian.

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Speaker 1: We've got the detail. They now like torches, guys, this

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Speaker 1: wouldn't be right without doing the hawk? Oscar. What is

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Speaker 1: something that is overrated? Hanger opinion? Um, I think actually

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Speaker 1: juice bars. I know that people might be upset about that.

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Speaker 1: Upset them. Who cares juice? If you're getting that upset

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Speaker 1: about juice? I have beef for most people who work

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Speaker 1: at juice bars. How about you do juice? I don't

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Speaker 1: juice necessarily. I was taking some steroids, but no juicing. No,

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Speaker 1: like making it at home. Nah, Not only juice as

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Speaker 1: a verb personally, not unless no, I know it's become

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Speaker 1: a verb. And then what you know, some of the

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Speaker 1: stuff helps to clear my sinuses, so I've I've become

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Speaker 1: a believer and I go by. But then the ones

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Speaker 1: you just drink to like get nutrients through the day

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Speaker 1: or whatever, I don't understand, Like the meaning of it. Yeah,

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Speaker 1: we's just overpriced. It's like I'm paying eight dollars for

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Speaker 1: a bottle of like broken down kale and other stuff.

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Speaker 1: To I'm like, I get the like the I guess

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Speaker 1: the health cook for people that like, we'll see, it's

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Speaker 1: just that it's very clean and that's all I'm getting.

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Speaker 1: But then the economics of it, I can't get on

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Speaker 1: board with like eight bucks for that though. I know

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Speaker 1: all that took. Yeah, I saw my grandma going into

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Speaker 1: a juice bar when she was waiting for me, and

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Speaker 1: she thought I wasn't there yet, and so she went

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Speaker 1: and she came out with this like crazy like bring

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Speaker 1: moon moon powder juice mix, and she was so upset

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Speaker 1: that it was twelve bucks, but she needed to use

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Speaker 1: the restroom and so they charged her for you know,

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Speaker 1: and she was like, I'll buy something, but it was

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Speaker 1: for an immigrant. It's like still like witchy, you know,

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Speaker 1: Oh what happened to orange juice or apple juice? No,

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Speaker 1: we're straight on the vegetable green juice right now. Wait

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Speaker 1: when you say have beef, the people that work there like,

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Speaker 1: so you pull up to a juice by, you're like,

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Speaker 1: what's up? Don't give me a couple of water for free.

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Speaker 1: It's me just gritting my teeth and be like, yeah,

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Speaker 1: I'm going to buy one. But like so your relationship

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Speaker 1: is still like I still buy them. I don't know why.

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Speaker 1: They're always like attitude. You know, they give me attitude

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Speaker 1: because I have questions. I always think maybe I'm going

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Speaker 1: to try something new. I always end up with the

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Speaker 1: same one. But they hate it when you have questions.

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Speaker 1: They're like, well, you you know, you don't know moon powder,

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Speaker 1: brain juice. You know what is that? Moon Juice is

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Speaker 1: a brand, an actual brand out here that I think

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Speaker 1: I went to like when it was just one little

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Speaker 1: stand in Santa Monica and it was like fifteen dollars

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Speaker 1: for an almond milk that I when they told me that,

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Speaker 1: I already had like put my mouth on the straw

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Speaker 1: and so I was amazed. And then I was like, well,

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Speaker 1: good luck with that business model, assholes. And now it's

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Speaker 1: like huge. Everybody does moon Juice, and I think Goop

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Speaker 1: got involved. So because it's all about adaptogenic nutrients just

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Speaker 1: in general, when it comes to fruit juice, like we

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Speaker 1: think it comes from fruit, it's healthy. Uh, it's just

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Speaker 1: sugar water for the most part. I mean the healthy

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Speaker 1: thing about fruit is the fiber, and like getting getting

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Speaker 1: the fiber and just pressing juice is flavor, getting all

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Speaker 1: the flavor and its fiber out of it. Um. So yeah, yeah,

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Speaker 1: I mean I didn't. I'm not that mad, to be honest,

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Speaker 1: you know, but but yeah, I know fu juice people

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Speaker 1: who drink juice, and yeah, shout out to juice too.

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Speaker 1: Also just the cashiers, because I know there are people

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Speaker 1: working hard juicing it in the back. Those are the

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Speaker 1: people that get to ring you up. Right. You think

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Speaker 1: there's like sweatshop labor going on in the bathroom. I

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Speaker 1: seen it. I seen it where the cashier wasn't there,

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Speaker 1: The hipster wasn't there to ring me up. So I

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Speaker 1: was like, where is she? Her only job is to

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Speaker 1: just press a button and say it's twelve bucks. And

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Speaker 1: so the immigrant in the back who was making all

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Speaker 1: the juices breaking his back to make these it's not easy,

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Speaker 1: you know. It's the machines intense and like it vibrates,

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Speaker 1: and you have all these bulky vegetables. You're he's working hard.

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Speaker 1: He came up to the cash register and rang me up,

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Speaker 1: and I was like, why don't we just pay him

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Speaker 1: extra to do the cashier too, so I can do

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Speaker 1: less with the attitude of the girl being like, you

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Speaker 1: don't know what cayendas? You know what I mean? And

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Speaker 1: she was gone anyhow, I'm done. Yeah, yeah, you can't

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Speaker 1: explain how it chakra, I was, I don't know what

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Speaker 1: do is something you think is underrated? Paddington? Oh yeah,

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Speaker 1: Paddington Bear. Everyone loves Paddington do the movie specifically, are

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Speaker 1: just the whole universe of Paddington, the movie, especially Paddington too.

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Speaker 1: I know it's been a while, um, but I think

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Speaker 1: about it often and how to be honest, not a

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Speaker 1: lot of people saw it. I feel like I feel

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Speaker 1: like a lot of comedians are a lot of our

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Speaker 1: guests have come in and you have seen Paddington too,

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Speaker 1: like everyone so at least at least And it could

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Speaker 1: just be the l a media bubble where people are,

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Speaker 1: you know, tend to see more movies. But I've heard

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Speaker 1: that so many times that I started watching it on

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Speaker 1: the plane and fell asleep, But I was I'm going

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Speaker 1: to watch the whole thing because I was actually really

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Speaker 1: kind of drawn in by the whole thing. Yeah, I

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Speaker 1: think there's something to like talking bears Um, I don't know.

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Speaker 1: I mean, talking bears in London, touching the hearts of people.

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Speaker 1: I mean it's Winnie the Pooh. I don't know. They've

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Speaker 1: got some some thing going on this year. But whereas

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Speaker 1: Paddington is a real bear, Winnie the Poo's just some

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Speaker 1: fucking toy that Christopher Robbins like, Yo, you're alive. Paddington

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Speaker 1: two is about undocumented in Rance because he comes from

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Speaker 1: like Peru or something, right, yeah, and seeking refuge. So domestically,

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Speaker 1: Paddington Too made forty million dollars, but in four markets

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Speaker 1: that made a hundred and eighty six million dollars, so

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Speaker 1: it was a huge hit. But America slept on it

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Speaker 1: a little bit. And yes, I hear that it's like

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Speaker 1: the greatest movie. It's kind of what Zutopia did for

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Speaker 1: me to like kids sup personally. Maybe kid friendly movies

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Speaker 1: really just packing in a lot of messages. Yeah, right,

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Speaker 1: right right while being really entertaining. I don't know, I'm

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Speaker 1: so predictable. I'm just a basic bitch. Just what do

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Speaker 1: you hate? Jeez? What do you like? Paddington? Those are

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Speaker 1: not pretty under though, Pumpkin spice lattists and us Okay,

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Speaker 1: I'm done. What is a myth? Finally? What is something

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Speaker 1: that most people think is true that you know to

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Speaker 1: be false? Um word vice versa. Oh it sucks because

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Speaker 1: you know, I have this joke where I'm trying to

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Speaker 1: figure out why, you know, the battle against gluten. I

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Speaker 1: keep losing a lot of friends to it, you know,

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Speaker 1: a lot of actually just a lot of my white

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Speaker 1: friends to it. And uh, yeah, I talked about how,

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Speaker 1: you know, maybe white people are still evolving because there's

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Speaker 1: constantly new things they can't eat anymore, you know what

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Speaker 1: I mean. My husband goes through this, like every day

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Speaker 1: there's a new thing he can't eat anymore. But I'm like,

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Speaker 1: you're forty, what do you mean You're still changing? And

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Speaker 1: I'm like, maybe white people are evolving, you know. Uh

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Speaker 1: and uh But then I I just found out my

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Speaker 1: grandma's actually gluten free, like two days ago. But she said,

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Speaker 1: I'm done, I'm off the gluten. The doctors told her

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Speaker 1: she can't eat gluten anymore at eighty three years old.

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Speaker 1: How did you get all that gluten? Though? And now

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Speaker 1: they're like, well, now you got what was there? Does

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Speaker 1: you have a specific condition where they're trying to She

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Speaker 1: had a hard time breathing, and then she she was

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Speaker 1: in the hospital. She just got released last night. But

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Speaker 1: she so she thought it was her heart, like she

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Speaker 1: couldn't breathe, chest pains, and so they checked her heart

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Speaker 1: and everything was fine with her heart, and then they

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Speaker 1: were like, I think it's your stomach. And then they

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Speaker 1: were like, I think it's gluten. And I was like,

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Speaker 1: you cannot tell you that's a jump. Oh my god.

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Speaker 1: Was her doctor, the woman who worked at the juice place,

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Speaker 1: because I won't cut a bit her and she's like,

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Speaker 1: here's twelve bucks. So I just got off of gluten

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Speaker 1: free pasta. I was only eating gluten free pasta for

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Speaker 1: a while because is you don't feel full afterwards, and

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Speaker 1: I think my problem is I just eat too much

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Speaker 1: pasta when I eat pasta. But I realized that it's

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Speaker 1: just not as good, and so I just had like

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Speaker 1: normal pasta again for the first time on Sunday night,

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Speaker 1: and I was like, holy sh it, this is so

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Speaker 1: much better like the other thing, just like breaks apart

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Speaker 1: the gluten free posts a question. So they were thinking

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Speaker 1: that because she was having a hard time digesting gluten

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Speaker 1: that was reverberating into her chest and like breathing like that,

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Speaker 1: like causing respiratory issues, fatigue, you know, apparently gluten causes

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Speaker 1: fatigue and sometimes like inflammatory things. And so somehow they're saying,

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Speaker 1: for now, until we find out more results, that's what

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Speaker 1: you gotta cut out, which is like, you know, the

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Speaker 1: for her, that was the American dream being able to

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Speaker 1: eat bread all the time. Yeah, you've got complex microbiomes

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Speaker 1: going on in our stomachs that get funked up by

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Speaker 1: all sorts of things. Yeah, gluten doesn't discriminate, it's it's

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Speaker 1: more about like what I thought was in that's becoming

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Speaker 1: true maybe shit, Yeah, because yeah, a lot of people

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Speaker 1: that I know who like eat gluten free, they look

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Speaker 1: very healthy already, and I'm alm like what they're was

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Speaker 1: so positive to yeah, and I'm like, well cool, Like

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Speaker 1: you know, I'm not going to knock anybody for want

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Speaker 1: to control their diet. But I'm also looking like, you

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Speaker 1: look very healthy, so I'm not sure where the dysfunction is.

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Speaker 1: Like I would get this intestinal swelling right here, and

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Speaker 1: I'm like, you have a fucking six pack. I'm saying,

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Speaker 1: but you know it makes if it does make you

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Speaker 1: feel lighter than so be it I noticed that with

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Speaker 1: red meat though too, for sure, Like when I stopped

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Speaker 1: eating red meat more and more, like I realized how

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Speaker 1: less I get the itis from digesting because it just

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Speaker 1: apps all your energy to just try and to digest

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Speaker 1: all that red meat, but gluten, we're still homies. So

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Speaker 1: we're all these people just living with like severe ibs

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Speaker 1: their whole lives, and then just we're like, finally I

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Speaker 1: figured it out. I feel like I've met people who

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Speaker 1: have who clearly like, no, this is actually helped me.

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Speaker 1: And then you know, some people just do it because

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Speaker 1: they think it's healthy or sure it is in some level,

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Speaker 1: but totally yeah, yeah, I guess that is what my

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Speaker 1: grandma had. She constantly had to use investran for eighty

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Speaker 1: three years ship and she was like, no, it's just me.

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Speaker 1: I've done something. Yeah. Does she feel like a lot

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Speaker 1: better now that it's been a day? All right, we'll

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Speaker 1: check back in with your grandma. Got a future date,

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Speaker 1: all right? As we wanted to check in with the

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Speaker 1: microbiome around us. I guess it's not a microbiome, the bio,

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Speaker 1: the macro bioio biodome. Really, so, California is currently engulfed

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Speaker 1: by the biggest wildfire in its history. The area that's

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Speaker 1: on fire is currently the size of Los Angeles, pretty

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Speaker 1: big city. Uh. And we've mentioned before that in addition

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Speaker 1: to being caused by climate change, these wildfires, uh, they

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Speaker 1: contribute to climate change because you know, a city the

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Speaker 1: size of Los Angeles, LA's car emissions are famous villains

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Speaker 1: in the like c O two emissions story. But now

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Speaker 1: instead of a bunch of cars like fighting a little

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Speaker 1: invisible smoke into the air all over the city, imagine

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Speaker 1: that the city itself is a giant fire that's belching thick,

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Speaker 1: black smoke into the atmosphere. Um So, yeah, I mean

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Speaker 1: there's been fires forever, but just not fires this big.

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Speaker 1: Like I said, this is the biggest in the history

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Speaker 1: of California. Uh So, the ideas that we could face

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Speaker 1: a future where there's a cycle of you know, huge

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Speaker 1: fires cause worse global warming. Cause bigger fires cause worst

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Speaker 1: global warming, more fuel for the fire. Right. It's caused

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Speaker 1: by the fact that, yeah, droughts and dry conditions and

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Speaker 1: earlier summers and later summers just make everything into kindling

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Speaker 1: until all of us look like the chimney sweeps and

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Speaker 1: all of her twist just all the time just smeared faces.

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Speaker 1: But we're talking earlier. Uh, Dandy Fernandez was in the office,

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Speaker 1: and she just came back from Arizona, and I've been

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Speaker 1: to Arizona in the past, like when the environment hadn't

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Speaker 1: gone crazy, and it's like you can't walk outside, like

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Speaker 1: the sun is an aggressive assault on your like skin

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Speaker 1: and face and eyeballs. Um. And she was saying that

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Speaker 1: her sister in law's car broke down because of the heat,

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Speaker 1: like it just the battery died from the heat from

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Speaker 1: the heat. Yeah, and her brother's family, her brother and

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Speaker 1: sister in law's family has run through two air conditioners

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Speaker 1: in the past couple of years because of how hard

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Speaker 1: they're having to work. Um. And so it just started

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Speaker 1: me looking into like different ways that you know, we've

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Speaker 1: been building this world around us for you know, all

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Speaker 1: all the buildings and homes and lives and machines that

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Speaker 1: we've kind of developed were built for a different, less

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Speaker 1: hot world. And so like there's just all these ways

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Speaker 1: that different things are going to compound on each other.

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Speaker 1: I mean, there was a heatwave in Los Angeles a

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Speaker 1: couple of weeks ago that knocked the power out for

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Speaker 1: a lot of people knocked my power out on my

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00:22:26,240 --> 00:22:32,560
Speaker 1: air conditioning out the infrastructure. Flights apparently flights can't take

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Speaker 1: off in air that is a hundred twenty degrees were

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Speaker 1: hotter because the air particles in air that's that hot

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Speaker 1: are too far apart, and there's just like not the

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Speaker 1: lift on the wings. It just doesn't work. Our planes

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Speaker 1: were not designed for this future that we're headed towards. Solution, Jack, well,

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00:22:54,240 --> 00:22:58,359
Speaker 1: we all stay cool. Well, well, solve it after the break.

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Speaker 1: We'll solve it during the break, and we'll let y'all

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Speaker 1: know how it goes. Uh. Yeah, It's one of those

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00:23:05,440 --> 00:23:07,879
Speaker 1: things where like the evidence is so clearly in front

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Speaker 1: of you, and you'd think that even the the fossil

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Speaker 1: fuel industry would at the very least be like, yeah, yeah,

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00:23:16,800 --> 00:23:18,679
Speaker 1: this is uh, this is kind of fucked up. But

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00:23:18,680 --> 00:23:20,720
Speaker 1: they stand to lose too much money. And I think

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Speaker 1: even with Trump trying to be like blame everything but

404
00:23:24,320 --> 00:23:28,280
Speaker 1: the Earth for this situation, it's just kind of sucked

405
00:23:28,320 --> 00:23:30,280
Speaker 1: up because yeah, I don't know, I just don't know

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Speaker 1: what to say. Because living in California, this is always

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Speaker 1: the thing. It's like there's fire season, but it's just

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00:23:35,440 --> 00:23:38,199
Speaker 1: over time, over my life. It's just started earlier and

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Speaker 1: earlier and gotten worse and worse. And I mean last

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Speaker 1: year with the fires and like Ventura and stuff like that.

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Speaker 1: It's not just isolated to these like large swaths of

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Speaker 1: wild like wilderness where there's a bunch of uh, you know,

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Speaker 1: like foliage that's gonna combust and things like that. It's

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Speaker 1: like moving into places where people live and now and

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Speaker 1: it's just, uh, the evolution of it is is very frightening.

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Speaker 1: And yeah, to know that soon enough for like in

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Speaker 1: the world, or like our planes can't cope with it

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Speaker 1: and our car batteries are just dying because it's too

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Speaker 1: like the atmospheric temperature. I've just never heard of that before,

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Speaker 1: the batteries being too stressed by the heat just sitting there. Yeah,

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Speaker 1: what Trump? I like that Trump doesn't use the same

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Speaker 1: argument he uses when it's cold. You know, it's so

423
00:24:21,480 --> 00:24:24,119
Speaker 1: cold at Where's where is global warming when you need it?

424
00:24:24,560 --> 00:24:26,960
Speaker 1: And like you know that logic whatever, that's not how

425
00:24:27,200 --> 00:24:30,639
Speaker 1: global warming works. But you know technically in that sense

426
00:24:31,040 --> 00:24:32,880
Speaker 1: where why is he not talking about it now? Where

427
00:24:32,880 --> 00:24:35,280
Speaker 1: it's like it's so hot outside, I guess it's global warming.

428
00:24:35,520 --> 00:24:37,200
Speaker 1: You know what I mean, it would be the same logic.

429
00:24:37,560 --> 00:24:43,880
Speaker 1: His explanation is that environmentalists have made certain water off

430
00:24:43,960 --> 00:24:46,840
Speaker 1: limits for putting the fires out, and that's what's caused.

431
00:24:46,960 --> 00:24:49,080
Speaker 1: And it's like one of those arguments. It's the gish

432
00:24:49,080 --> 00:24:52,280
Speaker 1: gallop that Andrew t, one of our guests, talks about,

433
00:24:52,320 --> 00:24:55,719
Speaker 1: where people say something that's so stupid and have like

434
00:24:55,760 --> 00:24:58,760
Speaker 1: twenty things wrong with it that it just exhausts you

435
00:24:58,840 --> 00:25:01,520
Speaker 1: to point all of them out. People don't use water

436
00:25:01,640 --> 00:25:05,800
Speaker 1: to put fires out really of the size, this never happened.

437
00:25:06,400 --> 00:25:08,680
Speaker 1: They have all the water they need, like all these

438
00:25:08,720 --> 00:25:13,800
Speaker 1: different things. But yeah, so it's almost like not worth

439
00:25:13,960 --> 00:25:19,320
Speaker 1: arguing at this point because right now and he knows it.

440
00:25:19,320 --> 00:25:21,640
Speaker 1: It's not about whether he knows it or not. Yeah,

441
00:25:21,720 --> 00:25:23,720
Speaker 1: there was some article or I don't maybe the comedian

442
00:25:23,800 --> 00:25:26,720
Speaker 1: somebody like was pointing out like probably eventually when it

443
00:25:26,760 --> 00:25:31,520
Speaker 1: begins threatening golf course infrastructures, when he'll actually be like, oh, ship, right,

444
00:25:32,200 --> 00:25:35,160
Speaker 1: what the fuss going on? Like it just killed the fairway. Yeah,

445
00:25:35,240 --> 00:25:38,120
Speaker 1: you'll just build like an indoor space, so you know, Yeah,

446
00:25:38,240 --> 00:25:43,399
Speaker 1: it's just like the fossil fuel companies were the first

447
00:25:43,440 --> 00:25:45,680
Speaker 1: ones to know about this. They were studying it back

448
00:25:45,720 --> 00:25:48,800
Speaker 1: in the eighties, they were like, oh, ship looks just

449
00:25:48,800 --> 00:25:50,919
Speaker 1: like shut the funk up about it. So they just

450
00:25:50,960 --> 00:25:54,399
Speaker 1: figured out what their argument was going to be against it,

451
00:25:54,560 --> 00:25:57,640
Speaker 1: or like a bunch of coping mechanisms to help them

452
00:25:57,680 --> 00:25:59,919
Speaker 1: sleep at night. I think it's something to do with

453
00:26:00,119 --> 00:26:04,320
Speaker 1: burying yourself under just giant piles of cash and yeah,

454
00:26:04,800 --> 00:26:07,440
Speaker 1: and that's that's how they get by. But yeah, they

455
00:26:07,480 --> 00:26:09,879
Speaker 1: we're not going to convince them of anything new. When

456
00:26:09,920 --> 00:26:12,360
Speaker 1: they knew about this like ten years before anyone else.

457
00:26:13,280 --> 00:26:15,119
Speaker 1: All right, we're gonna take a quick break. We'll be

458
00:26:15,240 --> 00:26:28,520
Speaker 1: right back, and we're back and we've solved it. We

459
00:26:28,560 --> 00:26:31,280
Speaker 1: did charge them with crimes against humanity. There you go.

460
00:26:31,359 --> 00:26:34,080
Speaker 1: That's how you do it. I thought it was walking

461
00:26:34,119 --> 00:26:37,400
Speaker 1: around with an ice pack on you. That's phase one

462
00:26:38,200 --> 00:26:41,439
Speaker 1: chemical ice packs. We're thinking long term. I'm sorry, I

463
00:26:41,480 --> 00:26:44,520
Speaker 1: thought we were just thinking today. Yeah, I'll do both,

464
00:26:44,600 --> 00:26:46,840
Speaker 1: you know, but ice pack on and then let's drag

465
00:26:46,880 --> 00:26:50,639
Speaker 1: these people to the hague. Right. Uh. I wonder if

466
00:26:50,720 --> 00:26:52,560
Speaker 1: clothes are going to change, like if we're going to

467
00:26:52,640 --> 00:26:58,760
Speaker 1: start wearing well, obviously we are because always clothing changes,

468
00:26:58,800 --> 00:27:01,080
Speaker 1: but I wonder if it will adapt to that, Like

469
00:27:01,119 --> 00:27:03,359
Speaker 1: I wonder if it already is like the way that uh,

470
00:27:04,000 --> 00:27:07,080
Speaker 1: you know, fitness casual or what's it called ath leisure

471
00:27:07,160 --> 00:27:10,480
Speaker 1: where is like the new hot ship in Los Angeles.

472
00:27:10,520 --> 00:27:12,240
Speaker 1: I wonder if that's because people are just like, yeah,

473
00:27:12,280 --> 00:27:15,639
Speaker 1: I'm sweating all the time. And even like in Japan,

474
00:27:15,760 --> 00:27:19,560
Speaker 1: like Unicloe like has a whole sort of sweat wicking

475
00:27:19,800 --> 00:27:22,840
Speaker 1: version of office where because it's so humid and hot

476
00:27:22,880 --> 00:27:25,080
Speaker 1: that it's like to wear cotton would just you'd soak

477
00:27:25,160 --> 00:27:28,000
Speaker 1: your shirt. But they're like, nah, not told me about

478
00:27:28,040 --> 00:27:31,760
Speaker 1: this before. Now they're like sort of like dry fit

479
00:27:32,040 --> 00:27:34,440
Speaker 1: sort of material but cut in like sort of your

480
00:27:34,920 --> 00:27:37,600
Speaker 1: Oxford shirt or whatever. Uh, and they just kind of

481
00:27:37,680 --> 00:27:39,919
Speaker 1: keep you breezing because yeah, so in that way, like

482
00:27:39,960 --> 00:27:42,280
Speaker 1: I think fabrics are changing too, because the more people

483
00:27:42,280 --> 00:27:45,159
Speaker 1: are sucking, you know out here sweating rorism is that

484
00:27:45,280 --> 00:27:48,479
Speaker 1: was called thank you super Producer and Hossie. It across

485
00:27:48,560 --> 00:27:51,200
Speaker 1: from the two of you sweating through my shirt every day.

486
00:27:51,400 --> 00:27:53,560
Speaker 1: And the first time this came up, they also have

487
00:27:53,600 --> 00:27:56,560
Speaker 1: iron free shirts. They're yeah, oh you don't have to

488
00:27:56,600 --> 00:27:58,919
Speaker 1: iron it. Yeah, I need to start shopping at Uniclo.

489
00:27:59,119 --> 00:28:01,800
Speaker 1: I think is the is the message the way fast

490
00:28:01,800 --> 00:28:06,119
Speaker 1: fashion is the wave. It's a wave uniclo. Uh it's good.

491
00:28:06,320 --> 00:28:14,840
Speaker 1: Sorry that was uh so Miles. The blue Wave. We've

492
00:28:14,880 --> 00:28:18,800
Speaker 1: heard it's comings gonna be a tsunami. We've heard it's

493
00:28:18,880 --> 00:28:22,200
Speaker 1: not coming, and it was just going to be a ripple. Uh.

494
00:28:22,280 --> 00:28:26,080
Speaker 1: And so it looks like it might be real based

495
00:28:26,119 --> 00:28:29,840
Speaker 1: on some returns from last night's elections. The Blue Wave

496
00:28:29,960 --> 00:28:32,720
Speaker 1: is not just a Japanese baseball team sponsored by Rix

497
00:28:33,400 --> 00:28:37,680
Speaker 1: who used to play for That's an inside joke for me. Yes,

498
00:28:37,840 --> 00:28:41,280
Speaker 1: so I guess. Look, there were some primaries yesterday. There's

499
00:28:41,280 --> 00:28:44,640
Speaker 1: a special election in Ohio that really fucking came down

500
00:28:44,640 --> 00:28:46,760
Speaker 1: to the wire. I was watching the returns come in

501
00:28:46,960 --> 00:28:51,520
Speaker 1: byten nails because this is a district that has been

502
00:28:51,800 --> 00:28:55,400
Speaker 1: solidly Republican since Reagan. I think it was the last

503
00:28:55,400 --> 00:28:58,440
Speaker 1: time a Democrat held that seat. And Trump won this

504
00:28:58,480 --> 00:29:01,560
Speaker 1: district in the Ohio twelfth Distric by eleven points. Pat

505
00:29:01,560 --> 00:29:03,560
Speaker 1: t Berry, whose seat it was, would win by like

506
00:29:03,600 --> 00:29:07,400
Speaker 1: twenty to thirty points some years and fucking last night,

507
00:29:07,720 --> 00:29:10,360
Speaker 1: Daniel O'Connor took Balderson to the wire and I think

508
00:29:10,480 --> 00:29:14,000
Speaker 1: lost by just around six votes or something like that.

509
00:29:14,280 --> 00:29:16,320
Speaker 1: But it's about like less than one percent. Or about

510
00:29:16,360 --> 00:29:18,479
Speaker 1: one percent, which is unheard of when you look at

511
00:29:18,520 --> 00:29:20,840
Speaker 1: the history of this district, and that should make people

512
00:29:21,040 --> 00:29:23,400
Speaker 1: very concerned because if you're if you're taking districts that

513
00:29:23,440 --> 00:29:28,280
Speaker 1: if historically always been solidly Republican and now suddenly a

514
00:29:28,320 --> 00:29:31,280
Speaker 1: Democrat is coming in and taking you to like within

515
00:29:31,360 --> 00:29:36,800
Speaker 1: one percent, that means Democrats are fucking overperforming. Uh, and

516
00:29:36,960 --> 00:29:38,640
Speaker 1: a lot of people are starting to look probably at

517
00:29:38,680 --> 00:29:40,800
Speaker 1: their own representation, being like I don't think I like

518
00:29:40,960 --> 00:29:44,560
Speaker 1: the this brand of politics right now. Um, so it's

519
00:29:44,840 --> 00:29:47,120
Speaker 1: it's a bad spot for the GOP because they had

520
00:29:47,120 --> 00:29:49,360
Speaker 1: to spend like something like five million dollars to keep

521
00:29:49,440 --> 00:29:51,800
Speaker 1: this race competitive when normally this is like a safe

522
00:29:51,800 --> 00:29:53,720
Speaker 1: seat or what you'd call a safe seat because you're like,

523
00:29:54,000 --> 00:29:55,640
Speaker 1: we don't have to put resources in it because it

524
00:29:55,640 --> 00:29:57,200
Speaker 1: it does its own thing and we don't have to

525
00:29:57,200 --> 00:29:59,440
Speaker 1: worry about that being a threat. But I think what

526
00:29:59,480 --> 00:30:02,080
Speaker 1: we're seeing is because there's a lot of suburban precincts

527
00:30:02,120 --> 00:30:06,760
Speaker 1: in this district too, that the Republicans they're not appealing

528
00:30:06,800 --> 00:30:09,320
Speaker 1: as much to suburban people as they may have. Like

529
00:30:09,400 --> 00:30:12,400
Speaker 1: when in seen when people just like whatever anyone but Hillary.

530
00:30:12,400 --> 00:30:14,840
Speaker 1: Now they're like, oh fuck, maybe this is not good.

531
00:30:15,240 --> 00:30:16,960
Speaker 1: And I think a lot of women have especially who

532
00:30:16,960 --> 00:30:19,120
Speaker 1: had who had voted for Trump, are starting to look

533
00:30:19,120 --> 00:30:21,720
Speaker 1: at it like his presidency and be like, yeah, they

534
00:30:21,760 --> 00:30:23,400
Speaker 1: don't they don't want to be near this. Have they

535
00:30:23,440 --> 00:30:27,720
Speaker 1: found like, has polling found actual shifts? Because my assumption

536
00:30:27,800 --> 00:30:30,240
Speaker 1: was always that it was just young people who didn't

537
00:30:30,280 --> 00:30:33,240
Speaker 1: vote kind of coming out and starting to vote now

538
00:30:33,280 --> 00:30:36,160
Speaker 1: because of how horrifying the whole Trump thing is. But

539
00:30:36,240 --> 00:30:39,040
Speaker 1: are they seeing that people who did vote for Trump

540
00:30:39,480 --> 00:30:42,040
Speaker 1: are now going back to Democrats? Well? I mean, I

541
00:30:42,080 --> 00:30:44,280
Speaker 1: think just by when you look at the numbers that

542
00:30:44,320 --> 00:30:47,120
Speaker 1: are and the people that are available, clearly from that

543
00:30:47,360 --> 00:30:50,160
Speaker 1: universe of voters, there somehow more people are skewing to

544
00:30:50,200 --> 00:30:52,360
Speaker 1: the Democrats. So I think just by virtue of the result,

545
00:30:52,560 --> 00:30:55,000
Speaker 1: people are kind of being like, I prefer this candidate.

546
00:30:55,200 --> 00:30:59,200
Speaker 1: And now Balderson is that his name? Uh? He the

547
00:30:59,240 --> 00:31:02,600
Speaker 1: Republican And I mean we've seen some special elections, even

548
00:31:02,640 --> 00:31:07,520
Speaker 1: one in Alabama where the Republican vastly underperformed. Uh, did

549
00:31:07,560 --> 00:31:12,520
Speaker 1: Balderson have any like horrifying things like picking up on

550
00:31:12,520 --> 00:31:15,000
Speaker 1: twelve year old girls? At them? All? Right? I mean

551
00:31:15,000 --> 00:31:17,720
Speaker 1: he's like a you know he's a trumpy dude. He

552
00:31:18,000 --> 00:31:20,480
Speaker 1: Trump came through at the last minute and threw his

553
00:31:20,560 --> 00:31:23,520
Speaker 1: weight behind him, so that helped to a certain extent.

554
00:31:23,640 --> 00:31:27,320
Speaker 1: But I think Danie O'Connor his sort of platform was

555
00:31:27,360 --> 00:31:29,720
Speaker 1: just more calm, like he was just like, let's address

556
00:31:29,760 --> 00:31:32,560
Speaker 1: the issues, like literally in Ohio, yes I'm a Democrat.

557
00:31:32,600 --> 00:31:35,880
Speaker 1: But he also stayed away from bashing Trump, which is

558
00:31:36,040 --> 00:31:38,840
Speaker 1: which is sort of like what Connor Lamb did in Pennsylvania.

559
00:31:38,880 --> 00:31:40,200
Speaker 1: Like a lot of these people who have been in

560
00:31:40,280 --> 00:31:43,800
Speaker 1: really solidly Republican districts, they try and if they're Democrats,

561
00:31:43,880 --> 00:31:46,040
Speaker 1: they don't want to jump on the beat the Trump

562
00:31:46,560 --> 00:31:48,440
Speaker 1: you know, until it's dead band, like, you know, they don't.

563
00:31:48,640 --> 00:31:51,360
Speaker 1: That's just not rhetorically what they need for their platform

564
00:31:51,400 --> 00:31:53,680
Speaker 1: because it sort of turns off those voters. But if

565
00:31:53,680 --> 00:31:55,920
Speaker 1: they just sort of keep an issue based of like yeah,

566
00:31:56,000 --> 00:31:58,400
Speaker 1: what about your healthcare and things like that, people are

567
00:31:58,440 --> 00:32:02,120
Speaker 1: much more open, right because people, yeah, there there is

568
00:32:02,160 --> 00:32:04,320
Speaker 1: still a culture war being fought, and if you just

569
00:32:04,520 --> 00:32:07,920
Speaker 1: managed to stay out of that stream, then you're going

570
00:32:07,960 --> 00:32:09,720
Speaker 1: to be in better shape than if you, you know,

571
00:32:09,880 --> 00:32:13,040
Speaker 1: take a side in it. Um. And then there was

572
00:32:13,080 --> 00:32:20,120
Speaker 1: also a primary in Kansas where Chris Koback won the

573
00:32:20,240 --> 00:32:24,520
Speaker 1: gubernatorial primary for the Republicans. Well, it hasn't totally been decided,

574
00:32:24,880 --> 00:32:27,240
Speaker 1: so this is like the margin of victory for him

575
00:32:27,280 --> 00:32:30,920
Speaker 1: is less than two votes and it was between him.

576
00:32:30,960 --> 00:32:33,400
Speaker 1: So Chris Kobak is like the same dude who like

577
00:32:33,680 --> 00:32:37,080
Speaker 1: started that whole fake voter Commission, which is just a

578
00:32:37,120 --> 00:32:40,840
Speaker 1: circus just to try and like perpetuate these weird conspiracies

579
00:32:40,840 --> 00:32:44,800
Speaker 1: about all these weird you know, voting irregularities, um, and

580
00:32:44,960 --> 00:32:46,959
Speaker 1: what did you come up with on that thing? And

581
00:32:46,960 --> 00:32:49,440
Speaker 1: he was like getting owned by judges who are like,

582
00:32:49,440 --> 00:32:51,200
Speaker 1: like literally one judge when he was arguing something in

583
00:32:51,240 --> 00:32:54,280
Speaker 1: court was like, you should go read a textbook about

584
00:32:54,360 --> 00:32:56,840
Speaker 1: like procedural law before you come back in here, and

585
00:32:56,840 --> 00:33:00,160
Speaker 1: like was just ran out on a rail. But he

586
00:33:00,360 --> 00:33:03,120
Speaker 1: is the Secretary of State for Kansas, so that means

587
00:33:03,160 --> 00:33:07,200
Speaker 1: election results are under his purview basically, so if there

588
00:33:07,280 --> 00:33:10,560
Speaker 1: is a recount, um, he could basically be overseeing, which

589
00:33:10,560 --> 00:33:12,479
Speaker 1: would be very interesting. But I think the thing with

590
00:33:12,520 --> 00:33:15,640
Speaker 1: this race that's interesting is that Chris Kobak is the

591
00:33:15,680 --> 00:33:19,120
Speaker 1: Trumpian dude, you know, he's the Trump Republican. And then

592
00:33:19,160 --> 00:33:22,640
Speaker 1: he ran against Jeff Collier who is not fully aligned

593
00:33:22,640 --> 00:33:25,800
Speaker 1: with Trump, but got like the sign off of Bob Dole,

594
00:33:25,840 --> 00:33:29,280
Speaker 1: who was like Mr Kansas Republican and he's super hot.

595
00:33:29,360 --> 00:33:33,440
Speaker 1: Right now, everybody's name is on the tip of everyone.

596
00:33:33,120 --> 00:33:36,680
Speaker 1: To be honest, I thought he had passed away, and

597
00:33:36,720 --> 00:33:39,240
Speaker 1: I when I saw that he had endorsed him, I

598
00:33:39,280 --> 00:33:42,800
Speaker 1: was like, oh, ship, Bob Dole is still alive. He

599
00:33:42,880 --> 00:33:46,320
Speaker 1: does look like a corpse with makeup on. So when

600
00:33:46,320 --> 00:33:48,080
Speaker 1: this so, I think you're starting to see there's a

601
00:33:48,120 --> 00:33:50,840
Speaker 1: little bit of a fracturing going on because even with Republicans,

602
00:33:51,240 --> 00:33:54,720
Speaker 1: the guy who isn't a Trump Republican took the Trump

603
00:33:54,760 --> 00:33:56,560
Speaker 1: guy down to the wires and who knows. I mean,

604
00:33:56,600 --> 00:33:58,720
Speaker 1: if this goes to a recount or whatever, they count

605
00:33:58,720 --> 00:34:01,160
Speaker 1: all the provisional bouts and he end That would also

606
00:34:01,200 --> 00:34:03,400
Speaker 1: be interesting because in the end they were like, I

607
00:34:03,480 --> 00:34:05,880
Speaker 1: remember this version of the party when it was Bob

608
00:34:05,920 --> 00:34:09,600
Speaker 1: Dole and prefer that and to this, you know, this

609
00:34:09,640 --> 00:34:15,759
Speaker 1: new brand. Yeah, something's in the water. Yeah it's there.

610
00:34:16,080 --> 00:34:18,920
Speaker 1: Although a lot of people yesterday were like, especially on

611
00:34:18,920 --> 00:34:21,560
Speaker 1: Twitter when I was just going through Maga Twitter as

612
00:34:21,600 --> 00:34:23,719
Speaker 1: I like to do on election nights, Yeah, that's good

613
00:34:23,719 --> 00:34:27,920
Speaker 1: for you. It's good for your heart. I just like

614
00:34:28,000 --> 00:34:30,239
Speaker 1: to know what kind of cool aid they're sipping over there,

615
00:34:30,320 --> 00:34:32,759
Speaker 1: and I gets your heart rate above one, which no, no,

616
00:34:32,800 --> 00:34:35,000
Speaker 1: I don't like that affect me. I'm I'm I've found

617
00:34:35,000 --> 00:34:38,239
Speaker 1: a way to go to like a very zend place. Well,

618
00:34:38,280 --> 00:34:40,280
Speaker 1: I just can't otherwise I'll be a mess because I'm

619
00:34:40,320 --> 00:34:43,520
Speaker 1: I'm naturally a warrior, a warrior of worrying, as I

620
00:34:43,560 --> 00:34:52,319
Speaker 1: like saying. But yeah, like now I'm an exciting warrior.

621
00:34:53,400 --> 00:34:55,600
Speaker 1: But yeah, when I looked, they're all like, yeah, man,

622
00:34:55,680 --> 00:34:59,520
Speaker 1: look at Balderson. He's like, Ohio, man, the red Tsunami's coming.

623
00:35:00,000 --> 00:35:02,440
Speaker 1: And You're like, hold on, I just let them believe,

624
00:35:02,600 --> 00:35:04,520
Speaker 1: I know. But in my mind, I'm like, wow, like

625
00:35:04,800 --> 00:35:07,319
Speaker 1: y'all really thought y'all were the underdog. This you this

626
00:35:07,440 --> 00:35:09,480
Speaker 1: was not supposed to be that close. That would imagine

627
00:35:09,520 --> 00:35:12,200
Speaker 1: like if a district somewhere in l A came down

628
00:35:12,200 --> 00:35:14,640
Speaker 1: in a Republican barely are a Democrat one by like

629
00:35:14,680 --> 00:35:17,040
Speaker 1: one percent, you'd be like, what the funk is going on?

630
00:35:17,680 --> 00:35:20,200
Speaker 1: It's just so it's it's just not the norm for

631
00:35:20,239 --> 00:35:24,080
Speaker 1: that area. So again, but you know, like conspiracy theories

632
00:35:24,080 --> 00:35:25,360
Speaker 1: like Q and on you got to try and just

633
00:35:25,400 --> 00:35:27,879
Speaker 1: shift reality to be like, no, this is a good thing.

634
00:35:28,400 --> 00:35:31,759
Speaker 1: It means there's a I guess the read tsunami, but

635
00:35:32,520 --> 00:35:37,680
Speaker 1: there's there's no, there's no. Yeah, stay at home. The

636
00:35:38,040 --> 00:35:41,720
Speaker 1: Drudge Report this morning had you know, Republicans hold seat

637
00:35:41,760 --> 00:35:46,080
Speaker 1: with like people cheering on as their like main story,

638
00:35:46,480 --> 00:35:50,200
Speaker 1: and now they've shifted because that apparently wasn't holding water. Uh,

639
00:35:50,239 --> 00:35:54,200
Speaker 1: they've shifted to Green Party space alien towards Dems because

640
00:35:54,239 --> 00:35:58,640
Speaker 1: apparently there's a Green Party candidate who got like votes

641
00:35:58,800 --> 00:36:02,360
Speaker 1: and would have swung the election the opposite direction if

642
00:36:02,480 --> 00:36:05,359
Speaker 1: all those people have voted for Democrats, which there's no

643
00:36:05,440 --> 00:36:08,799
Speaker 1: guarantee that's people who vote for a guy who thinks

644
00:36:08,800 --> 00:36:11,240
Speaker 1: he's an alien are going to go out and vote

645
00:36:11,239 --> 00:36:14,520
Speaker 1: for a Democrat. But the Kobak thing is interesting, and

646
00:36:15,719 --> 00:36:20,719
Speaker 1: bring that race up because, uh, Collier, the Republican who's

647
00:36:20,760 --> 00:36:24,520
Speaker 1: like the Bob Doll Republican, when you do polling with

648
00:36:24,640 --> 00:36:29,040
Speaker 1: him versus the Democratic candidate, uh, he is up by

649
00:36:29,239 --> 00:36:34,200
Speaker 1: a significant percentage. But when you do Kobak, the crazy

650
00:36:34,360 --> 00:36:38,759
Speaker 1: Trumpian guy, Uh, it's basically a dead heat with the Democrats.

651
00:36:38,840 --> 00:36:42,920
Speaker 1: So I think Democrats are probably pulling for Kobak to

652
00:36:42,960 --> 00:36:46,120
Speaker 1: pull this one out. Um. And then Michigan also had

653
00:36:46,120 --> 00:36:48,279
Speaker 1: a pretty significant race, right. Well, yeah, there's a lot

654
00:36:48,360 --> 00:36:52,880
Speaker 1: going on there too. So Rashida Talahib she won the

655
00:36:52,920 --> 00:36:56,080
Speaker 1: Democratic primary for the thirteenth Congressional district, which is John

656
00:36:56,120 --> 00:37:01,120
Speaker 1: Conyer's old seat that he left. Um, and she's basically no,

657
00:37:01,320 --> 00:37:03,359
Speaker 1: she's gonna run unopposed. I don't think that there's gonna

658
00:37:03,360 --> 00:37:05,319
Speaker 1: be Repulican run against her November, which would make her

659
00:37:05,400 --> 00:37:09,680
Speaker 1: the first Muslim woman to serve in Congress. Now and

660
00:37:09,800 --> 00:37:12,960
Speaker 1: just ladies all around the country, we're doing it like

661
00:37:13,000 --> 00:37:16,560
Speaker 1: in all kinds of primaries and things like that. Representation

662
00:37:16,640 --> 00:37:21,040
Speaker 1: has shot up exponentially for women candidates for Congress and

663
00:37:21,120 --> 00:37:26,680
Speaker 1: other offices. So very good to see. But yeah, Michigan

664
00:37:26,840 --> 00:37:28,680
Speaker 1: is also I think they're probably looking at having a

665
00:37:28,960 --> 00:37:33,000
Speaker 1: nearly all female ticket for the Democratic side come November. UM,

666
00:37:33,239 --> 00:37:35,440
Speaker 1: And you know, I think Debbie stab and now she

667
00:37:35,560 --> 00:37:38,239
Speaker 1: won her primary, and then Gretchen Whittmer one for the

668
00:37:38,280 --> 00:37:42,360
Speaker 1: gubernatorial race. But that one is interesting because, like the

669
00:37:42,440 --> 00:37:45,919
Speaker 1: Washington Post and other like sort of establishment dem sort

670
00:37:45,960 --> 00:37:49,320
Speaker 1: of thinking places, we're kind of like, man, the fact

671
00:37:49,360 --> 00:37:52,400
Speaker 1: that uh Abdul al Sayed lost, who was backed by

672
00:37:52,520 --> 00:37:55,600
Speaker 1: Alexandroo Kazio Cortez and Bernie Sanders. They're like, oh, I

673
00:37:55,600 --> 00:37:58,520
Speaker 1: mean the fact that he lost to Whittmer means, uh,

674
00:37:58,600 --> 00:38:00,960
Speaker 1: it looks like they've hit a wall. That progressive wing

675
00:38:01,040 --> 00:38:03,719
Speaker 1: is totally hit a wall. So man like better better

676
00:38:03,719 --> 00:38:06,719
Speaker 1: go back to center. But when you look at the

677
00:38:06,840 --> 00:38:10,080
Speaker 1: platform that she ran on, she was running on a

678
00:38:10,239 --> 00:38:16,319
Speaker 1: like medicaid expansion, marijuana legalization, LGBT civil rights. Uh, like

679
00:38:16,440 --> 00:38:18,360
Speaker 1: banning the box, which means like if you're applying for

680
00:38:18,400 --> 00:38:20,560
Speaker 1: a job, like if you have to disclose when you're

681
00:38:20,680 --> 00:38:22,719
Speaker 1: applying for a job, like if you've been convicted of

682
00:38:22,719 --> 00:38:25,040
Speaker 1: a crime, because that leads to recidivism, you know what

683
00:38:25,040 --> 00:38:26,520
Speaker 1: I mean, like just trying to get people jobs and

684
00:38:26,520 --> 00:38:29,920
Speaker 1: things like that, um and like funding planned parenthood, a

685
00:38:29,960 --> 00:38:33,600
Speaker 1: fifteen dollar minimum wage, universal preschool. So if this is

686
00:38:33,680 --> 00:38:37,920
Speaker 1: a centrist Democrat, my goodness, then like the old Guarden

687
00:38:37,920 --> 00:38:40,080
Speaker 1: needs to take a look at themselves and be like, Okay, well,

688
00:38:40,719 --> 00:38:43,880
Speaker 1: clearly the shift has moved to the left. Right. Running

689
00:38:43,880 --> 00:38:48,280
Speaker 1: against progress more progressive candidates always shifts the centrist candidates

690
00:38:48,320 --> 00:38:51,200
Speaker 1: more to the left. That's I think. You know, if

691
00:38:51,239 --> 00:38:55,080
Speaker 1: you're a progressive, you're happy to see happening, whether they

692
00:38:55,080 --> 00:38:57,600
Speaker 1: win the race or not. It's shifting the overall platform.

693
00:38:58,480 --> 00:39:00,239
Speaker 1: And I think it's the same thing that with the

694
00:39:00,280 --> 00:39:03,040
Speaker 1: Tea Party and the and the Republicans. You know, they've

695
00:39:03,120 --> 00:39:05,960
Speaker 1: just took them further and further right, right, right right,

696
00:39:06,000 --> 00:39:08,919
Speaker 1: and now they're like the party of like rural Americans

697
00:39:08,960 --> 00:39:13,040
Speaker 1: who have like don't aren't really completely disconnected with the reality.

698
00:39:13,120 --> 00:39:16,799
Speaker 1: So so there are these three dudes who are mar

699
00:39:16,920 --> 00:39:20,560
Speaker 1: Lago members just happened to be mar Lago members, you know,

700
00:39:20,680 --> 00:39:23,640
Speaker 1: there's nothing significant about that fact. One of them is

701
00:39:23,680 --> 00:39:28,520
Speaker 1: like pro Mutter, the extremely secretive Marvel Entertainment chairman. There's

702
00:39:28,560 --> 00:39:32,720
Speaker 1: a doctor Palm Beach, doctor Bruce Moskowitz, and a lawyer

703
00:39:32,800 --> 00:39:36,000
Speaker 1: named Mark Sherman. And none of them are u S

704
00:39:36,080 --> 00:39:40,360
Speaker 1: military veterans. None of them have experienced as government officials.

705
00:39:41,480 --> 00:39:46,239
Speaker 1: But they are pro PUBLICA unearthed like hundreds of documents

706
00:39:46,280 --> 00:39:48,920
Speaker 1: showing that these guys are basically running the v A

707
00:39:49,040 --> 00:39:54,759
Speaker 1: department like for some reason golf Bros. Yeah. Yeah, So

708
00:39:54,800 --> 00:39:57,720
Speaker 1: this is something that our writer Jam had written about

709
00:39:58,160 --> 00:40:00,480
Speaker 1: a couple of weeks ago that to Key then Island

710
00:40:00,600 --> 00:40:04,240
Speaker 1: is just that we should all probably be concerned about

711
00:40:04,640 --> 00:40:07,839
Speaker 1: Trump's golf game. Like this is something that gets trotted out,

712
00:40:07,880 --> 00:40:11,279
Speaker 1: you know, every every time Obama would golf, people on

713
00:40:11,360 --> 00:40:14,680
Speaker 1: Fox News would be like, look, he's golfing while you know,

714
00:40:15,080 --> 00:40:19,120
Speaker 1: mothers are working three jobs today and he doesn't care

715
00:40:19,160 --> 00:40:22,680
Speaker 1: about you. Uh, And you know, lots of presidents golf.

716
00:40:22,719 --> 00:40:27,800
Speaker 1: I think it's a prerequisite. Actually a president who didn't

717
00:40:27,800 --> 00:40:33,799
Speaker 1: golf else fdr she was in the chair though. Oh man,

718
00:40:34,440 --> 00:40:39,600
Speaker 1: I'm just being really you know what I mean, yeah, days,

719
00:40:39,920 --> 00:40:41,920
Speaker 1: Yeah he was, he was sportive staff. Yeah, I know

720
00:40:41,960 --> 00:40:46,320
Speaker 1: that guy was lazy. So but I mean Trump golf's

721
00:40:46,400 --> 00:40:48,759
Speaker 1: a lot. Golf's more than most presidents. I mean, any

722
00:40:48,760 --> 00:40:54,000
Speaker 1: excuse to wear those flattering khakis and white Yeah he

723
00:40:54,040 --> 00:40:57,920
Speaker 1: looks good. Um, but so we don't know who Trump

724
00:40:58,320 --> 00:41:02,279
Speaker 1: has been playing golf with. And as the Washington Post

725
00:41:02,320 --> 00:41:05,520
Speaker 1: has pointed out, um, you know, he's golfed with a

726
00:41:05,560 --> 00:41:07,960
Speaker 1: lot of people who have then just had these huge

727
00:41:08,080 --> 00:41:12,319
Speaker 1: deals like go in their direction or you know, they

728
00:41:12,360 --> 00:41:14,839
Speaker 1: think that that he's golfed with these people, but it's

729
00:41:14,840 --> 00:41:17,640
Speaker 1: like completely off limits and you can't like photograph him

730
00:41:17,640 --> 00:41:21,480
Speaker 1: really well golfing and uh, it's just, you know, there's

731
00:41:21,520 --> 00:41:24,360
Speaker 1: all these sorts of handshake deals that are going on

732
00:41:24,440 --> 00:41:27,480
Speaker 1: behind the scenes that uh, I think they said on

733
00:41:27,600 --> 00:41:30,520
Speaker 1: eighty one of the one hundred and eleven days Trump

734
00:41:30,600 --> 00:41:33,640
Speaker 1: is suspected to have played golf since becoming president. We

735
00:41:33,719 --> 00:41:37,279
Speaker 1: don't know who he was playing with at all, and like,

736
00:41:37,320 --> 00:41:39,760
Speaker 1: because he was playing golf with him is a way

737
00:41:39,800 --> 00:41:43,880
Speaker 1: to run the v as like he was like the

738
00:41:43,920 --> 00:41:47,560
Speaker 1: Prime Minister of Malaysia something like Elliot Broidy connected them

739
00:41:47,680 --> 00:41:50,319
Speaker 1: Like hey, like he was Elliot Broidy, who is the

740
00:41:50,800 --> 00:41:53,040
Speaker 1: who used to be a fundraiser for the RNC and

741
00:41:53,040 --> 00:41:57,800
Speaker 1: then had an affair with playmate and then possibly paid

742
00:41:57,800 --> 00:41:59,640
Speaker 1: for an abortion. It was like all this whole other

743
00:42:00,000 --> 00:42:02,120
Speaker 1: handle that we we know about as one of Michael

744
00:42:02,160 --> 00:42:05,440
Speaker 1: Cohen's clients. They were saying that Broidy was trying to

745
00:42:05,480 --> 00:42:08,960
Speaker 1: get his White House ties to like secure a very

746
00:42:09,040 --> 00:42:13,480
Speaker 1: lucrative contract with with the Malaysian government because Brody had

747
00:42:13,560 --> 00:42:16,160
Speaker 1: a defense company and was sort of being like, yo,

748
00:42:16,200 --> 00:42:17,840
Speaker 1: I can get you, like I can get you on

749
00:42:17,880 --> 00:42:20,600
Speaker 1: the links with President Trump and lo and behold they

750
00:42:20,719 --> 00:42:23,520
Speaker 1: like it's not sure what happened, but they didn't meet

751
00:42:24,080 --> 00:42:26,120
Speaker 1: uh and it looks like, yeah, that mar Lago is

752
00:42:26,160 --> 00:42:27,799
Speaker 1: sort of like the venue for a lot of this

753
00:42:27,960 --> 00:42:31,480
Speaker 1: informal power sharing and whatever you want to call it

754
00:42:32,080 --> 00:42:35,960
Speaker 1: power sales. Yeah. Uh. They say at least five administration

755
00:42:36,000 --> 00:42:40,200
Speaker 1: appointees were members of Trump clubs, which could potentially mean

756
00:42:40,239 --> 00:42:44,879
Speaker 1: that more potential appointees are meeting with Trump through golf. Um. So,

757
00:42:45,239 --> 00:42:48,760
Speaker 1: I don't know, it's just uh. I think he recently

758
00:42:48,800 --> 00:42:52,799
Speaker 1: decided his Supreme Court pick at his new Jersey golf club, right,

759
00:42:53,040 --> 00:42:55,319
Speaker 1: And those are like some of the dates on which

760
00:42:55,320 --> 00:42:57,279
Speaker 1: we don't know who he was playing with. Maybe he

761
00:42:57,320 --> 00:43:00,800
Speaker 1: was playing, maybe he like had them golf for it different.

762
00:43:02,360 --> 00:43:04,120
Speaker 1: Do you know if he's good at it, like it,

763
00:43:04,600 --> 00:43:06,520
Speaker 1: could he make deals that way if you want it,

764
00:43:06,560 --> 00:43:08,799
Speaker 1: if he's like, okay, holding one for me. I think

765
00:43:08,840 --> 00:43:13,920
Speaker 1: he's decent. But I also know from people who golf

766
00:43:14,280 --> 00:43:16,879
Speaker 1: and have like golfed with people who have golfed with him,

767
00:43:16,920 --> 00:43:21,480
Speaker 1: that he cheats like mercilessly, Like he like that's a

768
00:43:21,520 --> 00:43:24,120
Speaker 1: weird thing to do, is cheat at golf, Like there's

769
00:43:24,160 --> 00:43:26,239
Speaker 1: like sort of an honor system that like, oh, we're

770
00:43:26,239 --> 00:43:28,440
Speaker 1: all doing this for fun, but like you wouldn't cheat

771
00:43:28,600 --> 00:43:32,960
Speaker 1: because that it's not like adrenaline. You know, he's supposed

772
00:43:32,960 --> 00:43:37,160
Speaker 1: to walk. Yeah, I know, he cheats. He like, we'll

773
00:43:37,280 --> 00:43:39,799
Speaker 1: just like throw the ball onto the fairway and be like,

774
00:43:39,840 --> 00:43:42,439
Speaker 1: oh there is Oh my god. And then no one's

775
00:43:42,440 --> 00:43:44,239
Speaker 1: just like I guess this is what it's like playing

776
00:43:44,239 --> 00:43:46,239
Speaker 1: with Donald. But I feel like golf to like you

777
00:43:46,280 --> 00:43:49,000
Speaker 1: want to feel that you're getting better, So why cheat

778
00:43:49,040 --> 00:43:53,320
Speaker 1: yourself being like, oh yeah, it's a shell game he's playing.

779
00:43:54,960 --> 00:43:56,799
Speaker 1: You like to be like, Okay, this is my game.

780
00:43:56,840 --> 00:43:59,120
Speaker 1: Nobody else wins, but if you try to win, you'll

781
00:43:59,120 --> 00:44:02,000
Speaker 1: get shot kind of right, right, I'll just cheat so crazy,

782
00:44:02,040 --> 00:44:04,160
Speaker 1: like I'm just gonna throw the ball like onto the

783
00:44:04,200 --> 00:44:07,239
Speaker 1: green and putting green and be like you saw that, Yeah,

784
00:44:07,960 --> 00:44:15,600
Speaker 1: Tiger Woods shot in eighteen shot an MS thirteen. All right,

785
00:44:15,640 --> 00:44:17,480
Speaker 1: we're gonna take a quick break. We'll be right back,

786
00:44:27,800 --> 00:44:29,600
Speaker 1: and we're back. Oh I'm sorry, my hips don't like

787
00:44:31,960 --> 00:44:37,440
Speaker 1: we're just reminiscent about Shack the only shock in my book,

788
00:44:39,600 --> 00:44:44,120
Speaker 1: his hit the Lebanese Colombian Sensation. So guys, the oscars

789
00:44:44,360 --> 00:44:49,719
Speaker 1: have been listening to uh the criticism, and they have

790
00:44:49,920 --> 00:44:53,960
Speaker 1: decided to cut the program down to three hours, and

791
00:44:54,000 --> 00:44:57,239
Speaker 1: they've decided to add a new category, and it's just

792
00:44:58,200 --> 00:45:03,160
Speaker 1: the category they've added is oh stupid and wrongheaded. Yeah,

793
00:45:03,440 --> 00:45:05,560
Speaker 1: it's like so one of the criticisms is like, well,

794
00:45:05,640 --> 00:45:07,680
Speaker 1: nobody wants to see these movies. These aren't like the

795
00:45:07,680 --> 00:45:10,480
Speaker 1: most popular movies that are being nominated for Best Pictures.

796
00:45:10,520 --> 00:45:13,000
Speaker 1: So you know why we watched the show and I

797
00:45:13,000 --> 00:45:15,880
Speaker 1: guess they do get higher ratings when like they nominate

798
00:45:16,280 --> 00:45:18,960
Speaker 1: Lord of the Rings or whatever. Um, so they have

799
00:45:19,160 --> 00:45:25,120
Speaker 1: added a new category that they're calling most popular Movie. Yeah,

800
00:45:25,239 --> 00:45:30,200
Speaker 1: they used very flowery language. Outstanding achievement in popular Film

801
00:45:30,920 --> 00:45:33,319
Speaker 1: is the most popular ship. And we still don't know

802
00:45:33,440 --> 00:45:37,400
Speaker 1: what the eligibility requirements are, like how you determine like

803
00:45:37,480 --> 00:45:41,239
Speaker 1: how they would determine that, because at that point, is

804
00:45:41,239 --> 00:45:43,319
Speaker 1: that something you vote on like you would you would

805
00:45:43,320 --> 00:45:45,680
Speaker 1: think you would to gauge the popularity like they are

806
00:45:45,800 --> 00:45:48,920
Speaker 1: very measurable things like the box office receipts and things.

807
00:45:49,040 --> 00:45:52,799
Speaker 1: It's just that like numbers of attendees, right, or like

808
00:45:52,840 --> 00:45:59,919
Speaker 1: Twitter mentions yeah, or retweets the movie title. It's such

809
00:46:00,040 --> 00:46:03,040
Speaker 1: a weird thing and I don't like I remember when

810
00:46:03,120 --> 00:46:05,080
Speaker 1: Dark Night came out, people were like, man, that should

811
00:46:05,080 --> 00:46:08,479
Speaker 1: have won something you know that movie was too good

812
00:46:08,480 --> 00:46:11,400
Speaker 1: at the reporting actor, which is what it deserved to win, right,

813
00:46:11,440 --> 00:46:12,959
Speaker 1: But I think there are other people who just felt

814
00:46:13,000 --> 00:46:16,080
Speaker 1: like it was it wasn't for anything else because it's

815
00:46:16,080 --> 00:46:19,040
Speaker 1: a it's a Batman movie or whatever and whatever. You know.

816
00:46:19,080 --> 00:46:22,080
Speaker 1: I don't find these awards are whatever they are, but

817
00:46:22,120 --> 00:46:24,359
Speaker 1: they don't affect my life in any way, aside from

818
00:46:24,480 --> 00:46:26,760
Speaker 1: it's some ship to do on a Sunday in March,

819
00:46:26,920 --> 00:46:30,279
Speaker 1: usually right in March, and now like now for just

820
00:46:30,360 --> 00:46:32,080
Speaker 1: for three hours, for three hours, and then they're not

821
00:46:32,120 --> 00:46:33,840
Speaker 1: even gonna The other part of it is cutting it

822
00:46:33,880 --> 00:46:35,759
Speaker 1: down is means that they're not going to show some

823
00:46:35,800 --> 00:46:37,920
Speaker 1: of the other awards giving out being given out live,

824
00:46:38,400 --> 00:46:40,920
Speaker 1: which is you know, I don't mind. The length of

825
00:46:41,000 --> 00:46:42,799
Speaker 1: time was never a problem. But I don't know. I

826
00:46:42,840 --> 00:46:44,840
Speaker 1: live in l A. I don't know if it seems

827
00:46:44,840 --> 00:46:46,880
Speaker 1: like I think people and are like, yeah, what's oscars,

828
00:46:47,160 --> 00:46:48,759
Speaker 1: But I feel like people around the country I have

829
00:46:48,920 --> 00:46:54,480
Speaker 1: Oscar viewing parties or whatever. But yeah, there are some

830
00:46:54,520 --> 00:46:57,799
Speaker 1: categories I feel like we could speed through, maybe in

831
00:46:57,840 --> 00:47:01,239
Speaker 1: the middle of the program. The best sound mixing, I

832
00:47:01,280 --> 00:47:05,680
Speaker 1: also write exactly there's two sound mixing categories. Sound editing,

833
00:47:05,719 --> 00:47:10,279
Speaker 1: sound mixing or whatever, sound design that only a very

834
00:47:10,360 --> 00:47:13,799
Speaker 1: select few people know the difference between. Like you can

835
00:47:13,880 --> 00:47:16,440
Speaker 1: get rid of one of those, yeah, or or combine

836
00:47:16,480 --> 00:47:18,960
Speaker 1: them and just do it, like at the same time

837
00:47:19,040 --> 00:47:22,760
Speaker 1: when it's the Academy of Motion Picture Arts and Sciences,

838
00:47:22,800 --> 00:47:24,640
Speaker 1: you know what I mean, So like get everybody just

839
00:47:24,680 --> 00:47:29,160
Speaker 1: saying yeah, if you're gonna add a category to you know,

840
00:47:29,360 --> 00:47:34,000
Speaker 1: improve the watchability, Like what about like best special effect,

841
00:47:34,640 --> 00:47:38,240
Speaker 1: best stunt, best casting. They don't even have best Casting,

842
00:47:38,320 --> 00:47:41,239
Speaker 1: which I think would be a fun award because then

843
00:47:41,280 --> 00:47:44,560
Speaker 1: you could show like what if this character had been

844
00:47:44,560 --> 00:47:48,880
Speaker 1: played by Ben Affleck, Like you know, just how better

845
00:47:48,960 --> 00:47:52,479
Speaker 1: the casting? Yeah, or like motion capture or other things.

846
00:47:52,480 --> 00:47:55,359
Speaker 1: There's so many other dimensions of filmmaking now that like

847
00:47:55,640 --> 00:47:57,680
Speaker 1: probably should get it. Yeah. I think stunt work is

848
00:47:57,760 --> 00:48:00,600
Speaker 1: one that we're seeing more, especially popyl alreties moved like

849
00:48:00,680 --> 00:48:03,800
Speaker 1: John Wick and what those directors have done being stuntman,

850
00:48:04,160 --> 00:48:06,759
Speaker 1: like really wanting to make a film that like really

851
00:48:06,760 --> 00:48:10,520
Speaker 1: showcased how good stunt work can be. Finding out how

852
00:48:10,560 --> 00:48:14,120
Speaker 1: they do special effects is like usually really interesting. Like

853
00:48:14,160 --> 00:48:16,320
Speaker 1: a lot of the time it's like an in camera

854
00:48:16,440 --> 00:48:18,799
Speaker 1: trick that is just it's basically like a magic trick.

855
00:48:19,080 --> 00:48:21,440
Speaker 1: Like most Alert of the Rings was not shot with

856
00:48:21,480 --> 00:48:24,760
Speaker 1: like computers. It was shot by like placing actors further

857
00:48:24,960 --> 00:48:27,840
Speaker 1: behind other actors that were supposed to be like taller

858
00:48:27,880 --> 00:48:30,560
Speaker 1: than them. I'm playing a perspective and ship, which is

859
00:48:30,719 --> 00:48:33,000
Speaker 1: you know, a good leading to best actor. Who had

860
00:48:33,040 --> 00:48:35,000
Speaker 1: to pretend that was a real person that I was

861
00:48:35,000 --> 00:48:38,239
Speaker 1: talking to you. Maybe they should just redo the whole

862
00:48:38,280 --> 00:48:40,439
Speaker 1: thing and keep it on like a like a high

863
00:48:40,480 --> 00:48:44,200
Speaker 1: school like your book, you know, like best Dressed were

864
00:48:44,200 --> 00:48:47,800
Speaker 1: doing the most popular best dressed, right, most likely to succeed.

865
00:48:47,880 --> 00:48:50,200
Speaker 1: What an honor that would be to get an Oscar

866
00:48:51,160 --> 00:48:54,880
Speaker 1: most even though we know the results, or maybe a

867
00:48:54,920 --> 00:48:57,040
Speaker 1: film that's supposed to come out that gets that award

868
00:48:57,200 --> 00:49:00,840
Speaker 1: most likely to preemptively They're like, we're really excited. Oh yeah,

869
00:49:00,880 --> 00:49:05,759
Speaker 1: the best most exciting coming attraction. It's called the Leap

870
00:49:05,840 --> 00:49:11,319
Speaker 1: of Faith award. But like we already reward the most

871
00:49:11,320 --> 00:49:16,640
Speaker 1: popular movies. It's the Yeah, it's what the money's for

872
00:49:16,880 --> 00:49:19,640
Speaker 1: you guys. In the words of Don Draper and me,

873
00:49:19,680 --> 00:49:23,040
Speaker 1: anytime I was complains about having to mop another blood stain, well,

874
00:49:23,080 --> 00:49:27,440
Speaker 1: it's getting what the money I've it's blood freaks me out.

875
00:49:27,600 --> 00:49:31,520
Speaker 1: Speaking of Oscar winning movies, Guys Mighty ducks. Everybody remembers

876
00:49:32,400 --> 00:49:38,719
Speaker 1: the beloved Goldberg, the keeper, goalie, goalie, I'm sorry, play hockey,

877
00:49:38,719 --> 00:49:42,160
Speaker 1: shame on me. The goaltender. He had the knuckle puck.

878
00:49:42,400 --> 00:49:44,440
Speaker 1: Isn't that was that his thing? He that was I

879
00:49:44,520 --> 00:49:49,160
Speaker 1: thought that was Keenan. That's right. Goldberg was the keeper.

880
00:49:49,440 --> 00:49:54,200
Speaker 1: He was one of the more likable characters. And the

881
00:49:54,239 --> 00:49:59,279
Speaker 1: actor who plays him is a gentleman named Sean Weiss. Yeah,

882
00:49:59,560 --> 00:50:04,680
Speaker 1: and oh man, so yeah, this is we went deep

883
00:50:04,719 --> 00:50:07,719
Speaker 1: on this yesterday. So there's an image that's out there.

884
00:50:07,719 --> 00:50:10,720
Speaker 1: It's a mug shot of him from the past week

885
00:50:10,840 --> 00:50:14,960
Speaker 1: or so, and he looks like a sixty five year

886
00:50:15,000 --> 00:50:18,040
Speaker 1: old man. Yeah, because he was arrested, like one of

887
00:50:18,120 --> 00:50:21,000
Speaker 1: three men that were arrested because they were like the

888
00:50:21,080 --> 00:50:25,800
Speaker 1: cops got a call about men behaving erratically with flashlights

889
00:50:25,880 --> 00:50:28,879
Speaker 1: and they pulled the most methy ship every Yeah, like

890
00:50:29,080 --> 00:50:31,839
Speaker 1: they were pulling up and they they're like, oh, yeah,

891
00:50:31,880 --> 00:50:34,000
Speaker 1: these guys are drunk or high and they took him

892
00:50:34,040 --> 00:50:36,560
Speaker 1: this station and then they were like one of the

893
00:50:36,640 --> 00:50:39,239
Speaker 1: officers like comments like this that one guy was really

894
00:50:39,239 --> 00:50:41,760
Speaker 1: witty or whatever, really witty and then when it turns

895
00:50:41,760 --> 00:50:45,000
Speaker 1: out like it was Goldberg from the Mighty Ducks, and

896
00:50:45,120 --> 00:50:49,760
Speaker 1: my goodness, this image of how much he has aged,

897
00:50:49,840 --> 00:50:52,240
Speaker 1: which because clearly that like he's struggling with substance abuse

898
00:50:52,520 --> 00:50:55,200
Speaker 1: is will shake you to your core, especially if you

899
00:50:55,239 --> 00:50:59,439
Speaker 1: remember Heavyweights and all those movies he has aged so

900
00:50:59,600 --> 00:51:04,640
Speaker 1: rapid lee I also if you just there's one comparison

901
00:51:04,680 --> 00:51:09,560
Speaker 1: that will put in the footnotes footnotes that is him

902
00:51:09,600 --> 00:51:13,239
Speaker 1: from two thousand fifteen and then the mug shot next

903
00:51:13,239 --> 00:51:16,920
Speaker 1: to one another. And it is, as Myles said yesterday,

904
00:51:16,920 --> 00:51:19,040
Speaker 1: it looks like he looked at the Ark of the

905
00:51:19,080 --> 00:51:23,640
Speaker 1: Covenant for like three seconds maybe second, took the life

906
00:51:23,640 --> 00:51:27,600
Speaker 1: out of his face. It really is incredible. It's like

907
00:51:27,640 --> 00:51:32,400
Speaker 1: the worst viral marketing for meth ever. Uh this image, Um,

908
00:51:32,440 --> 00:51:34,600
Speaker 1: it's just a tough thing, man. You know, like so

909
00:51:34,640 --> 00:51:37,239
Speaker 1: many and again do you see this so much with

910
00:51:37,320 --> 00:51:42,040
Speaker 1: child actors, especially to like they fall into substance substance abuse.

911
00:51:42,080 --> 00:51:44,480
Speaker 1: Even one of my friends who was a child actor, man,

912
00:51:44,560 --> 00:51:47,320
Speaker 1: he struggled for his entire life with this ship and

913
00:51:47,400 --> 00:51:51,640
Speaker 1: eventually passed away. But like it's it's really tragic man

914
00:51:51,680 --> 00:51:55,040
Speaker 1: to see stuff like this because Mighty Ducks Heavyweights. I

915
00:51:55,080 --> 00:51:57,239
Speaker 1: loved him as like as a kid, and like, you

916
00:51:57,280 --> 00:51:59,840
Speaker 1: can only imagine what this guy's career was like because

917
00:52:00,040 --> 00:52:02,680
Speaker 1: we started going through the IMDb and we saw like

918
00:52:02,719 --> 00:52:05,920
Speaker 1: it was getting a little light after like heavy Weights.

919
00:52:05,920 --> 00:52:08,640
Speaker 1: Then he was doing more supporting rooms. Yeah, and that

920
00:52:08,920 --> 00:52:11,319
Speaker 1: short film the last credit was like a sketch on

921
00:52:11,360 --> 00:52:13,960
Speaker 1: Funnier Diet, which they called a short film, and it's

922
00:52:13,960 --> 00:52:18,120
Speaker 1: it's really bad where he's like about twelve degrees better

923
00:52:18,280 --> 00:52:21,040
Speaker 1: at acting than anyone else in the in the sketch

924
00:52:21,160 --> 00:52:24,480
Speaker 1: and much it's not say much, but he you can

925
00:52:24,520 --> 00:52:26,840
Speaker 1: tell like he's on his way towards It's like a

926
00:52:27,440 --> 00:52:30,880
Speaker 1: in between the two shot and what we see in

927
00:52:30,920 --> 00:52:34,160
Speaker 1: the mug shot. But uh yeah, it seems like, you know,

928
00:52:34,200 --> 00:52:37,800
Speaker 1: he said the life taken out of him. Um yeah,

929
00:52:37,840 --> 00:52:40,000
Speaker 1: it is good to know that he I mean, wow,

930
00:52:40,160 --> 00:52:43,120
Speaker 1: like they remembered him. They said he hate there was

931
00:52:43,160 --> 00:52:47,359
Speaker 1: one wittier person and it was him. Yeah, that could

932
00:52:47,360 --> 00:52:50,360
Speaker 1: be an Academy word. Yeah, what like at least he

933
00:52:50,400 --> 00:52:56,399
Speaker 1: had his wis most charisma, most charisma, the sweetest, best

934
00:52:56,400 --> 00:52:59,880
Speaker 1: performance by someone playing themselves sort of thing. So you

935
00:53:00,040 --> 00:53:02,440
Speaker 1: get like Tom Cruise would win that a lot of

936
00:53:02,440 --> 00:53:04,879
Speaker 1: the time, just because he's always the same dude. He's

937
00:53:04,920 --> 00:53:07,640
Speaker 1: just like this energetic mother. Even in The Valkyrie. Did

938
00:53:07,640 --> 00:53:12,000
Speaker 1: you just talk with his regular he's like a Nazi.

939
00:53:12,400 --> 00:53:15,319
Speaker 1: I think they I think they did the for Red

940
00:53:15,360 --> 00:53:17,759
Speaker 1: October thing where they just like at a certain point

941
00:53:17,840 --> 00:53:19,799
Speaker 1: they're like, yeamn, we're gonna speak English. We hope you're

942
00:53:19,840 --> 00:53:23,719
Speaker 1: okay with that, right, right, but you don't understand. But

943
00:53:23,760 --> 00:53:27,719
Speaker 1: they didn't even do like accents. They just straight up like, Hey,

944
00:53:27,840 --> 00:53:31,080
Speaker 1: what's up. I'm German. Hey, I'm German. Let's kill this Hitler,

945
00:53:31,560 --> 00:53:34,319
Speaker 1: bloke Hitler. It's like a ghosts in the show when

946
00:53:34,800 --> 00:53:37,600
Speaker 1: people talk to when Japanese and she speaks back in English.

947
00:53:37,760 --> 00:53:40,600
Speaker 1: It's great, even though she's still had a Japanese brain.

948
00:53:40,760 --> 00:53:46,240
Speaker 1: Everything's great. Yeah, that's like me, I answer in English. Yeah,

949
00:53:46,280 --> 00:53:50,600
Speaker 1: so I don't know, we've talked. I'm glad he's still witty.

950
00:53:51,000 --> 00:53:56,000
Speaker 1: And here's to you know, recovery, Yes, recovery, it's possible. Guys.

951
00:53:56,640 --> 00:53:58,839
Speaker 1: First of all, this is a good reminder that, uh,

952
00:53:59,520 --> 00:54:02,480
Speaker 1: you know, things can get away from you pretty quickly.

953
00:54:02,760 --> 00:54:06,520
Speaker 1: And uh, there's actually a Paul Ryan interview on The

954
00:54:06,560 --> 00:54:09,600
Speaker 1: Daily Today that where they talked about his dad was

955
00:54:09,600 --> 00:54:12,719
Speaker 1: an alcoholic and Paul Ryan said he started drinking when

956
00:54:12,760 --> 00:54:16,439
Speaker 1: Paul Ryan was twelve and was dead by sixteen. And

957
00:54:16,840 --> 00:54:20,200
Speaker 1: like that's just an example of like, yeah, sometimes you

958
00:54:20,400 --> 00:54:23,280
Speaker 1: have it under control for your whole life and then

959
00:54:23,320 --> 00:54:26,040
Speaker 1: suddenly it just gets out of hand really quickly. And

960
00:54:26,600 --> 00:54:31,560
Speaker 1: I mean you just need to it's very isolating, you know, addiction,

961
00:54:31,880 --> 00:54:34,359
Speaker 1: and you just need to be willing to like talk

962
00:54:34,400 --> 00:54:36,800
Speaker 1: to somebody about it. Yeah, and and don't be afraid

963
00:54:36,840 --> 00:54:38,680
Speaker 1: to ask for the help to man, because there's so

964
00:54:38,680 --> 00:54:41,440
Speaker 1: many times people just have the the shame of it,

965
00:54:41,520 --> 00:54:45,120
Speaker 1: but really it's there's nothing to be ashamed of. Some

966
00:54:45,239 --> 00:54:48,680
Speaker 1: people are just wired differently and this addiction illness can

967
00:54:48,760 --> 00:54:50,760
Speaker 1: take a hold of you and you you need help,

968
00:54:51,280 --> 00:54:53,040
Speaker 1: and we need help, and we need to be open

969
00:54:53,080 --> 00:54:55,000
Speaker 1: to people. And again, like that's why I kind of

970
00:54:55,000 --> 00:54:59,440
Speaker 1: feel bad even talking about Goldberg looking like shit because

971
00:54:59,640 --> 00:55:02,839
Speaker 1: this may and his struggling yea. And yeah, you'd you'd

972
00:55:02,840 --> 00:55:04,839
Speaker 1: hope that he has some kind of support system around

973
00:55:04,880 --> 00:55:06,600
Speaker 1: him because clearly, like when you look at some of

974
00:55:06,600 --> 00:55:10,040
Speaker 1: those IMDb roles, it was like like bottom feeding like

975
00:55:10,320 --> 00:55:12,120
Speaker 1: l A types who are just sort of like, oh,

976
00:55:12,200 --> 00:55:14,640
Speaker 1: we got Goldberg from the Mighty Ducks in our sketch

977
00:55:15,160 --> 00:55:18,680
Speaker 1: and it wasn't you know, I just I'm my heart

978
00:55:18,680 --> 00:55:20,480
Speaker 1: goes out to you, Sean. What could be worse? He

979
00:55:20,520 --> 00:55:26,360
Speaker 1: could be completely sober and be Donald Trump and the president,

980
00:55:27,160 --> 00:55:29,880
Speaker 1: you know, tweeting. At least he still has his humanity

981
00:55:29,920 --> 00:55:33,240
Speaker 1: according to the police. What I'm saying, like, Donald Trump

982
00:55:33,280 --> 00:55:38,120
Speaker 1: is completely sober, Right, he's probably taking like uppers or something. Right,

983
00:55:38,200 --> 00:55:41,239
Speaker 1: he just never touched alcohol, but right, or whenever a

984
00:55:41,280 --> 00:55:45,439
Speaker 1: doctor prescribes him, isn't a drug. Elvis was the same way.

985
00:55:45,480 --> 00:55:48,960
Speaker 1: Elvis was completely against illegal drugs and like was not

986
00:55:49,000 --> 00:55:52,800
Speaker 1: a big drinker. But man, did he take enough pills

987
00:55:52,840 --> 00:55:56,040
Speaker 1: to kill him? What was what was like? Yeah, just

988
00:55:56,120 --> 00:55:58,799
Speaker 1: he had a doctor like Michael Jackson did who just

989
00:55:58,840 --> 00:56:01,439
Speaker 1: prescribed whatever the fun wanted and so he took all

990
00:56:01,480 --> 00:56:03,239
Speaker 1: of them. But were they like was he into like

991
00:56:03,440 --> 00:56:11,160
Speaker 1: downers or upper I think both sandwich yes, And I

992
00:56:11,200 --> 00:56:13,520
Speaker 1: mean diet works, you know, I think it's important to

993
00:56:13,560 --> 00:56:19,839
Speaker 1: consider diet. Whatever could be Burger McDonald's could be could

994
00:56:19,960 --> 00:56:22,880
Speaker 1: be the gluten that killed Did you have like an

995
00:56:22,920 --> 00:56:30,400
Speaker 1: impacted ship or something like a huge thirty pounder. I

996
00:56:30,400 --> 00:56:31,960
Speaker 1: don't know. I wonder if gluten has anything to do

997
00:56:31,960 --> 00:56:34,720
Speaker 1: with that. I have a quick question why the interviewed

998
00:56:34,760 --> 00:56:37,080
Speaker 1: Paul Ryant is that was that him just talking about

999
00:56:37,080 --> 00:56:40,680
Speaker 1: his childhood? And then is that him explaining himself? It

1000
00:56:40,760 --> 00:56:43,960
Speaker 1: was interesting. So the theory that the New York Times

1001
00:56:44,000 --> 00:56:47,239
Speaker 1: reporter was giving is that as the child of an alcoholic,

1002
00:56:47,360 --> 00:56:52,399
Speaker 1: they're usually accommodating. That's like a stereotype of people who

1003
00:56:52,520 --> 00:56:55,680
Speaker 1: are like go to alan and stuff. They're avoiding, conflict avoiding,

1004
00:56:55,760 --> 00:56:58,560
Speaker 1: and they're just they've built their whole personality around dealing

1005
00:56:58,560 --> 00:57:03,120
Speaker 1: with erratic people. And so for him to then have

1006
00:57:03,360 --> 00:57:05,839
Speaker 1: his career taken over by dealing with this guy who,

1007
00:57:05,880 --> 00:57:09,360
Speaker 1: for all intents and purposes, is like a loose cannon

1008
00:57:09,360 --> 00:57:12,120
Speaker 1: back out drunk. He just isn't drunk when he behaves

1009
00:57:12,239 --> 00:57:16,480
Speaker 1: away like that. He and also Paul Ryan was very

1010
00:57:16,800 --> 00:57:20,640
Speaker 1: you know, uh, didn't stand up and say anything, and

1011
00:57:20,720 --> 00:57:23,800
Speaker 1: that that was sort of the pop psychoanalysis and the

1012
00:57:23,840 --> 00:57:27,080
Speaker 1: piece was pretty interesting. Yeah. I mean, he could also

1013
00:57:27,080 --> 00:57:30,680
Speaker 1: just be a fucking spineless, evil fuck to have to

1014
00:57:30,760 --> 00:57:33,080
Speaker 1: bring in his childhood into it. He could just be wired,

1015
00:57:33,200 --> 00:57:36,440
Speaker 1: because you know, he's always had the fantasy of kneecapping

1016
00:57:36,520 --> 00:57:39,360
Speaker 1: the safety net for you know, poor people. So yeah,

1017
00:57:39,560 --> 00:57:44,040
Speaker 1: he around the gig at frat parties, he and his

1018
00:57:44,120 --> 00:57:48,600
Speaker 1: homies would talk about ending social Security. So that is

1019
00:57:48,640 --> 00:57:52,640
Speaker 1: Paul Ryan. So guys, real quick, we wanted to talk

1020
00:57:52,680 --> 00:57:56,840
Speaker 1: about the Mama Me a Universe, Uh, the sequel to

1021
00:57:57,080 --> 00:58:00,919
Speaker 1: the original Mama Me at the Aba musical that takes

1022
00:58:00,920 --> 00:58:04,640
Speaker 1: place in Greece. It hit number two, but it was

1023
00:58:04,680 --> 00:58:07,400
Speaker 1: a very close number two when it came out and

1024
00:58:07,960 --> 00:58:12,080
Speaker 1: behind the equalizer to uh, and people are excited about

1025
00:58:12,080 --> 00:58:16,640
Speaker 1: this movie. Meryl Streep has died in between the first

1026
00:58:16,680 --> 00:58:19,320
Speaker 1: one and the sequel, because Meryl Streep just straight up

1027
00:58:19,360 --> 00:58:23,080
Speaker 1: does not do sequels. But they've got share to come

1028
00:58:23,120 --> 00:58:27,200
Speaker 1: in and Share is in this movie Meryl Streep's mother

1029
00:58:28,120 --> 00:58:32,560
Speaker 1: for some reason, even though it's like she was, she

1030
00:58:32,680 --> 00:58:34,520
Speaker 1: was not in the first one, and in fact, they

1031
00:58:34,520 --> 00:58:38,480
Speaker 1: referred to her as possibly being dead. So our writer

1032
00:58:38,720 --> 00:58:43,840
Speaker 1: Jam McNabb put together this theory that this movie takes

1033
00:58:43,840 --> 00:58:46,040
Speaker 1: place in purgatory, and actually I don't know if he

1034
00:58:46,080 --> 00:58:47,480
Speaker 1: put it together. I think it might have been on

1035
00:58:47,680 --> 00:58:50,480
Speaker 1: A V Club. But so the A V Club put

1036
00:58:50,480 --> 00:58:53,960
Speaker 1: together this theory that basically time doesn't make sense in

1037
00:58:53,960 --> 00:58:56,680
Speaker 1: this movie, people are showing up at all different times

1038
00:58:56,800 --> 00:59:00,880
Speaker 1: in their existence. So Sophie and the first movie is

1039
00:59:00,920 --> 00:59:05,200
Speaker 1: the main character, and the first movie, based on like

1040
00:59:05,320 --> 00:59:07,760
Speaker 1: things that are said in the movie, must have taken

1041
00:59:07,760 --> 00:59:10,160
Speaker 1: place in two thousand and then they say that this

1042
00:59:10,200 --> 00:59:13,440
Speaker 1: movie takes place five years after the first movie. So

1043
00:59:13,480 --> 00:59:17,320
Speaker 1: it's two thousand and five, and her mother has died,

1044
00:59:17,360 --> 00:59:19,800
Speaker 1: her grandmother's there, but her grandmother is only five years

1045
00:59:19,800 --> 00:59:25,280
Speaker 1: older than her mother. And also everybody has iPhones and iPads,

1046
00:59:25,400 --> 00:59:28,840
Speaker 1: which was in two thousand and two thousand five, so

1047
00:59:29,360 --> 00:59:32,080
Speaker 1: it's presumably they're just not paying attention to details like that.

1048
00:59:32,480 --> 00:59:36,080
Speaker 1: But because it's like this Greek island that is almost

1049
00:59:36,080 --> 00:59:41,160
Speaker 1: the surreal environment, it could be read as they are

1050
00:59:41,200 --> 00:59:45,720
Speaker 1: all in purgatory like lost, you know, they're all gotten

1051
00:59:45,760 --> 00:59:47,600
Speaker 1: a plane crash or something, and here all like in

1052
00:59:47,640 --> 00:59:51,640
Speaker 1: this in between and Meryl Streep had a breakthrough in

1053
00:59:51,680 --> 00:59:55,040
Speaker 1: between and she moved on out of the afterlife, out

1054
00:59:55,080 --> 00:59:59,840
Speaker 1: of purgatory until whatever next plane of existence is. So

1055
01:00:00,040 --> 01:00:08,120
Speaker 1: Shares basically sucking up right, yeah, or Share outlived all

1056
01:00:08,160 --> 01:00:12,200
Speaker 1: the rest of her family and was like, oh where

1057
01:00:12,200 --> 01:00:16,000
Speaker 1: my daughter at? Oh she got out see her. All right,

1058
01:00:16,000 --> 01:00:21,040
Speaker 1: well this Island's cool. Here we go again. Deep. Yeah,

1059
01:00:21,160 --> 01:00:25,280
Speaker 1: how's the plot though? So I'm I'm glad it's a

1060
01:00:25,320 --> 01:00:31,640
Speaker 1: metaphor for progreatory. Um uh yeah, I mean I know

1061
01:00:31,760 --> 01:00:35,360
Speaker 1: the songs. I didn't watch the first one. Um, but

1062
01:00:35,400 --> 01:00:37,600
Speaker 1: I was like I was telling you I watched the trailer.

1063
01:00:37,680 --> 01:00:40,680
Speaker 1: I didn't. I just haven't really followed with Mama Mia

1064
01:00:41,240 --> 01:00:46,360
Speaker 1: exclamation point and it's two right. Um. Well, but all

1065
01:00:46,400 --> 01:00:49,000
Speaker 1: I know is that I was you know, I first

1066
01:00:49,000 --> 01:00:51,720
Speaker 1: heard about it when I was watching About to go

1067
01:00:51,760 --> 01:00:55,200
Speaker 1: watch the Mr. Rogers documentary and the trailers were playing

1068
01:00:55,240 --> 01:00:58,840
Speaker 1: and it was like blind Spotting trailer that happened first,

1069
01:00:58,920 --> 01:01:01,280
Speaker 1: you know, boom, black guy get shot, and it's like, well,

1070
01:01:01,360 --> 01:01:04,840
Speaker 1: it's a deep movie, Oakland. It's about you know, white

1071
01:01:04,880 --> 01:01:06,960
Speaker 1: best friend who's you know, kind of like trying to

1072
01:01:07,000 --> 01:01:11,160
Speaker 1: be a winkster or whatever, a gangster. Yeah. I didn't

1073
01:01:11,160 --> 01:01:14,280
Speaker 1: want to get another word because I don't know. Um.

1074
01:01:14,400 --> 01:01:18,160
Speaker 1: And then suddenly it's Mamma Mia. The trailer to MoMA

1075
01:01:18,240 --> 01:01:20,880
Speaker 1: Mia came up and they were like, but some of

1076
01:01:20,960 --> 01:01:24,400
Speaker 1: us get to live like this, you know, shift different

1077
01:01:24,440 --> 01:01:28,320
Speaker 1: shift in tone, right, Um, like this is Oakland we're

1078
01:01:28,360 --> 01:01:31,720
Speaker 1: on a weird disco island, right, Yeah, so maybe it

1079
01:01:31,760 --> 01:01:34,400
Speaker 1: did feel a little bit like the purgatory thing kind

1080
01:01:34,400 --> 01:01:36,720
Speaker 1: of makes sense at least even in that shift in tone,

1081
01:01:36,760 --> 01:01:40,560
Speaker 1: and also watching um, I don't know, it's it's about

1082
01:01:40,640 --> 01:01:43,720
Speaker 1: It's about a wedding and a daughter tries to she

1083
01:01:43,760 --> 01:01:45,960
Speaker 1: doesn't know who her dad is, right, I think that

1084
01:01:46,080 --> 01:01:49,959
Speaker 1: was the plot of the first one. Actually apparently Mama

1085
01:01:50,040 --> 01:01:53,000
Speaker 1: MEA Here we Go Again, which is the sub subtitle

1086
01:01:53,080 --> 01:01:58,520
Speaker 1: of this one, does end with a police shooting. So good.

1087
01:01:59,640 --> 01:02:04,360
Speaker 1: But Andy Garcia has in interviews said hinted he shows

1088
01:02:04,440 --> 01:02:07,520
Speaker 1: up as shares love interest and hinted that his character

1089
01:02:07,720 --> 01:02:11,040
Speaker 1: may have been Meryl Streep's father. Andy Garcia seven years

1090
01:02:11,080 --> 01:02:14,160
Speaker 1: younger than Meryl Streep. So it's just like this universe

1091
01:02:14,200 --> 01:02:17,440
Speaker 1: makes note and he's getting it. Sounds like everything is

1092
01:02:17,440 --> 01:02:22,800
Speaker 1: actually revolving around Meryl streep schedule. Right, Actually, yeah, that

1093
01:02:22,920 --> 01:02:28,360
Speaker 1: is purgatory. I don't know. Yeah. Anyways, Otsco, it's been

1094
01:02:28,520 --> 01:02:32,640
Speaker 1: so fun having you. Where can people find you? Follow you?

1095
01:02:33,440 --> 01:02:37,840
Speaker 1: People can find me at Otsco Comedy on the platforms

1096
01:02:38,520 --> 01:02:44,280
Speaker 1: um and yeah, my website, my entire name, otscod scott

1097
01:02:44,280 --> 01:02:49,120
Speaker 1: dot com or just find me at Otsco Comedy. Yeah,

1098
01:02:49,160 --> 01:02:52,000
Speaker 1: and do you have a tweet or anything from social

1099
01:02:52,000 --> 01:02:57,040
Speaker 1: media that you've been enjoying of late? Um, well, this

1100
01:02:57,080 --> 01:03:00,600
Speaker 1: morning I woke up to Aquafina crying out of joy

1101
01:03:01,360 --> 01:03:05,680
Speaker 1: about Crazy Rich Asians. Um. Which made me happy? Is

1102
01:03:05,720 --> 01:03:09,920
Speaker 1: she she's in it? Yeah, she's one of She's like

1103
01:03:09,920 --> 01:03:12,160
Speaker 1: an auntie in it and with a she has a

1104
01:03:12,160 --> 01:03:14,240
Speaker 1: wig on. It's like you can tell it's a wig,

1105
01:03:14,320 --> 01:03:16,800
Speaker 1: but she looks just like my aunt And I don't

1106
01:03:16,840 --> 01:03:18,919
Speaker 1: know if my aunt wears a wig. But yeah, it's

1107
01:03:19,920 --> 01:03:23,040
Speaker 1: that that made me happy. Yeah. Yeah, I'm pretty excited

1108
01:03:23,080 --> 01:03:26,120
Speaker 1: for that movie. I am. At first, I was like, well,

1109
01:03:26,280 --> 01:03:30,360
Speaker 1: you know, I don't, um know. At first I made

1110
01:03:30,400 --> 01:03:33,560
Speaker 1: the joke that like, okay, crazy rich Asians representation, But

1111
01:03:33,560 --> 01:03:36,240
Speaker 1: I'm more excited about the sequel, you know, Asians that

1112
01:03:36,280 --> 01:03:39,680
Speaker 1: can relate to because it's about like the richest man

1113
01:03:39,760 --> 01:03:42,760
Speaker 1: in Singapore game. I don't know what that feels like,

1114
01:03:43,240 --> 01:03:45,920
Speaker 1: but you know, it is the first Asian American focused

1115
01:03:46,080 --> 01:03:50,960
Speaker 1: film to come out from a big studio into five years,

1116
01:03:51,000 --> 01:03:53,920
Speaker 1: so it means a lot to people. Yeah, like you know,

1117
01:03:54,000 --> 01:03:59,000
Speaker 1: like like everything you named right with, like Rashida rashidas Libe. Mean,

1118
01:03:59,360 --> 01:04:04,760
Speaker 1: we're still seeing the first everything, so it's like calm down.

1119
01:04:05,520 --> 01:04:07,320
Speaker 1: People are like they're going to take over. It's like, no,

1120
01:04:07,600 --> 01:04:10,760
Speaker 1: we just literally Tiffany Hattish was the first black female

1121
01:04:10,760 --> 01:04:13,680
Speaker 1: comedian to Hostess and now right crazy, I just thought

1122
01:04:13,760 --> 01:04:16,400
Speaker 1: there was more no, yeah, but then we're still seeing

1123
01:04:16,440 --> 01:04:20,600
Speaker 1: the first ye So yeah, maybe the sequel will just

1124
01:04:20,640 --> 01:04:22,840
Speaker 1: be about you know, growing up with like Asian moms

1125
01:04:22,840 --> 01:04:25,360
Speaker 1: who don't have a microwave and won't buy one. Yeah,

1126
01:04:25,440 --> 01:04:27,360
Speaker 1: and then you're embarrassed having friends over because like, how

1127
01:04:27,360 --> 01:04:29,400
Speaker 1: do we have my popcorn? I gotta be like my mom.

1128
01:04:29,800 --> 01:04:34,959
Speaker 1: Done is different in Japan. Whatever. Yeah, maybe that's fresh

1129
01:04:35,040 --> 01:04:39,040
Speaker 1: off the boat. Yeah, right, Miles, where can people fund you? Oh?

1130
01:04:39,280 --> 01:04:42,880
Speaker 1: You can find me on Twitter and Instagram at miles

1131
01:04:43,080 --> 01:04:48,560
Speaker 1: of Gray. And what is a tweet that I'm liking? Okay,

1132
01:04:48,600 --> 01:04:51,360
Speaker 1: this one is from the Onion because they just relate

1133
01:04:51,440 --> 01:04:53,800
Speaker 1: to my life all the time. There's some one who

1134
01:04:53,840 --> 01:04:56,840
Speaker 1: says man races against time to take out trash bag

1135
01:04:56,880 --> 01:05:02,320
Speaker 1: with widening puncture, because my god, I'm the fucking king

1136
01:05:02,560 --> 01:05:05,640
Speaker 1: of taking the wild torn bag of the hand and

1137
01:05:06,080 --> 01:05:08,479
Speaker 1: running as fast as I can without getting garbage juice

1138
01:05:08,480 --> 01:05:10,600
Speaker 1: on the floor because I don't know why I still

1139
01:05:10,640 --> 01:05:13,600
Speaker 1: do it though. Yeah, like I know it's a bad situation,

1140
01:05:13,640 --> 01:05:15,440
Speaker 1: but in my mind, I still have a confidence that,

1141
01:05:15,560 --> 01:05:17,680
Speaker 1: like somehow I can hold the bag in a way

1142
01:05:17,720 --> 01:05:20,880
Speaker 1: that all this you know, nasty can't put this back

1143
01:05:20,880 --> 01:05:24,160
Speaker 1: in the trash can. So yeah, right, they just drag

1144
01:05:24,200 --> 01:05:29,600
Speaker 1: it across the floor trail. Yeah, very very good. Juice

1145
01:05:29,800 --> 01:05:32,840
Speaker 1: spot garbage juice. Yeah, one of my favorites. I think

1146
01:05:32,840 --> 01:05:37,640
Speaker 1: they call it John but juice at dan Ment Toasts tweeted, Hey, Siri,

1147
01:05:37,840 --> 01:05:41,240
Speaker 1: do they still make grape nuts? Siri? Jesus Christ go

1148
01:05:41,320 --> 01:05:50,080
Speaker 1: to sleep? And Bridget Greenberg hilarious young comic from Cracked tweeted,

1149
01:05:50,400 --> 01:05:53,320
Speaker 1: can't decide if I'm depressed or just genuinely don't have

1150
01:05:53,360 --> 01:05:57,040
Speaker 1: an opinion on bird scooters. Back to what we talked

1151
01:05:57,080 --> 01:06:01,440
Speaker 1: about yesterday. You can follow me on Twitter at Jack Underscore. O'Brien,

1152
01:06:01,880 --> 01:06:04,400
Speaker 1: you can follow us on Twitter at daily Zey guys

1153
01:06:04,520 --> 01:06:07,440
Speaker 1: were at the daily zeitgeis on Instagram. We have Facebook

1154
01:06:07,480 --> 01:06:11,360
Speaker 1: fan page and a website Daily zeitgeis dot com, where

1155
01:06:11,640 --> 01:06:16,720
Speaker 1: we post our episodes and also our footnotwhere, which will

1156
01:06:16,760 --> 01:06:21,600
Speaker 1: also be posted in the description of this episode. Whatever

1157
01:06:21,880 --> 01:06:24,280
Speaker 1: you're listening to it on, just click the info button.

1158
01:06:24,600 --> 01:06:27,440
Speaker 1: You will see links off to the information that we

1159
01:06:27,520 --> 01:06:29,919
Speaker 1: talked about on today's episode, as well as the song

1160
01:06:30,160 --> 01:06:32,600
Speaker 1: that we ride out on Wiles, is that going to

1161
01:06:32,680 --> 01:06:37,400
Speaker 1: be a sheet? Yes? Okay, let's play. Uh this track

1162
01:06:37,560 --> 01:06:44,520
Speaker 1: from Charlotte Dos Santos, who is a Norwegian Brazilian jazz singer. Uh,

1163
01:06:44,560 --> 01:06:48,280
Speaker 1: and she's I think seven or eight where her fucking

1164
01:06:48,360 --> 01:06:52,400
Speaker 1: vibe is so old and throwback that like, my goodness,

1165
01:06:52,440 --> 01:06:54,480
Speaker 1: you put this on. I don't drink wine, but it

1166
01:06:54,560 --> 01:06:56,880
Speaker 1: maybe want to drink a glass of wine. Uh. Normally

1167
01:06:56,920 --> 01:06:58,919
Speaker 1: I would just well the blunt, but this this works

1168
01:06:58,920 --> 01:07:01,840
Speaker 1: in that fashion too, so however you want to get it.

1169
01:07:01,880 --> 01:07:05,760
Speaker 1: In this song Charlotte dos Santos is called watching You

1170
01:07:05,960 --> 01:07:08,120
Speaker 1: so yeah, and the album is called Cleo. I can't

1171
01:07:08,160 --> 01:07:10,520
Speaker 1: recommend the album up too she is. It's just it's

1172
01:07:10,560 --> 01:07:12,840
Speaker 1: amazing when you hear albums that. Like when I first

1173
01:07:12,840 --> 01:07:14,680
Speaker 1: heard I was like, damn, how come I didn't hear

1174
01:07:14,760 --> 01:07:16,640
Speaker 1: this artist from the seventies or whatever? And then I look,

1175
01:07:16,680 --> 01:07:18,520
Speaker 1: I'm like, oh, it's someone younger than me who's just

1176
01:07:18,600 --> 01:07:21,520
Speaker 1: crushing that that stuff. So It's always nice to hear

1177
01:07:21,560 --> 01:07:24,320
Speaker 1: that jazz neo soul kind of thing. So shout out

1178
01:07:24,320 --> 01:07:27,960
Speaker 1: to Charlotte and keep this track keeep this track all right,

1179
01:07:28,040 --> 01:07:30,160
Speaker 1: So I guess we won't right out on dead match

1180
01:07:30,160 --> 01:07:33,040
Speaker 1: she has banned on his national holiday. What do you

1181
01:07:33,040 --> 01:07:36,120
Speaker 1: want to do so much to say? I love that one? Alright,

1182
01:07:36,200 --> 01:07:37,919
Speaker 1: we're gonna write out on that. We will be back

1183
01:07:38,080 --> 01:07:40,840
Speaker 1: tomorrow because it is a daily podcast. To get them

1184
01:08:00,080 --> 01:08:26,040
Speaker 1: just awez awayt inill morning makes me shiver. I hold

1185
01:08:26,120 --> 01:08:40,600
Speaker 1: my breath. Is between two words. You lay souly the

1186
01:08:40,800 --> 01:08:53,360
Speaker 1: sky turned fay, wondering way you are out on your

1187
01:08:53,479 --> 01:09:02,559
Speaker 1: wire and to the star our arts sail until lay.

1188
01:09:03,360 --> 01:09:07,120
Speaker 1: Then let me write you and said, will you to dream?

1189
01:09:07,840 --> 01:09:11,479
Speaker 1: Just too wondering why not to n But I know

1190
01:09:11,640 --> 01:09:17,439
Speaker 1: on flying into the stars, dream until the sun arise

1191
01:09:29,520 --> 01:09:40,839
Speaker 1: another day, Keep on dreaming. I home all my cards

1192
01:09:41,160 --> 01:09:48,000
Speaker 1: to my chains in the midst of all roaming, going

1193
01:09:48,080 --> 01:09:50,320
Speaker 1: to to see I want you to north going to

1194
01:09:50,520 --> 01:09:59,760
Speaker 1: the hill while I'm thinking of while you're float up

1195
01:10:00,120 --> 01:10:03,240
Speaker 1: sound of a little watch, Well, I'm like to get

1196
01:10:03,439 --> 01:10:07,160
Speaker 1: you singing, don't you wake to drink? You Drea to

1197
01:10:07,439 --> 01:10:14,880
Speaker 1: one pleas for him to be out into lay better leave.

1198
01:10:14,920 --> 01:10:21,200
Speaker 1: You enter and say we don't dreat dream, oh don't

1199
01:10:21,400 --> 01:10:26,720
Speaker 1: come by. You went to the sky dream and tow

1200
01:10:43,120 --> 01:10:49,240
Speaker 1: oh m