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Speaker 1: Hello the Internet, and welcome to season twenty one, Episode

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Speaker 1: one of Der Daily Sight Guys. YEA for March fifth,

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Speaker 1: two thousand eight. Team. My name is Jack O'Brien a K.

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Speaker 1: Jack is back, said Zack Dad, her dad Dad's gonna

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Speaker 1: be back. That's courtesy of Zachary Uh. I forgot to

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Speaker 1: say a c D c uh courtesy of Zachary on

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Speaker 1: Twitter and many other people. But I am thrilled to

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Speaker 1: be once again with my co host, Mr Miles Bread

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Speaker 1: Different strokes for different folks and so on and so

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Speaker 1: onnly Scooby doo by Dooby am every great pople. Thank

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Speaker 1: you so much because I love slid Stone, So Kellen

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Speaker 1: Thompson shout out to you for that, sly Ak, and

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

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Speaker 1: by the very funny host of the Stuff You Should

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Speaker 1: Know podcast with Chuck Bryant. We are joined by Josh Clark. Joh.

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Speaker 1: I kind of bungled that it made it. I made

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Speaker 1: it sound like we were joined by Chuck, but I

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Speaker 1: joined by Josh. All that Stuff you Should Know is

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Speaker 1: Stuffy should Know featuring Chuff Bright. Yeah, so I knew that, Josh,

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Speaker 1: but it is in fact, Josh, right, we're talking to

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Speaker 1: you and we're thrilled to be talking to him. Guys,

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Speaker 1: you guys do your prep. Yeah, yeah right. Uh So, Josh,

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Speaker 1: what is something you have searched in the not too

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Speaker 1: distant past that is revealing about who you are as

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Speaker 1: a humanity? Uh? The thing going through my internet history,

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Speaker 1: the only thing it revealed is that I'm actually kind

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Speaker 1: of boring. Um. What I did find is all like

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Speaker 1: work related. But luckily the work that I do makes

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Speaker 1: my Internet search history pretty weird. So I found an

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Speaker 1: entry for pare gork. Have you guys heard of that

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Speaker 1: no opium for children that they used to give kids

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Speaker 1: in the nineteenth century? And the reason I know about

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Speaker 1: it is because Harriet Tubman used it to drug one

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Speaker 1: of the kids that she was smuggling to freedom to

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Speaker 1: keep it quiet along the journey. Wow, that's that's something

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Speaker 1: I'm going to have to try my name my new son. Wait,

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Speaker 1: was it heroin or opiate? Was the same thing? It's

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Speaker 1: an opiate for children? Yeah, I think it's like kind

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Speaker 1: of tomato tomato when they're giving it to kid. What

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Speaker 1: made it like it was just a low dose or

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Speaker 1: something that made it suitable for kids or not, like

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Speaker 1: non legal. There was you know there's a cute picture

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Speaker 1: of a kid on the bottle too. That was it, right,

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Speaker 1: so that made it sable. Uh ye, Heroin. There's that

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Speaker 1: picture on the internet that I don't think is doctor.

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Speaker 1: That is a bottle that says Heroin on it, and

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Speaker 1: it's like being packaged as a as a children's like

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Speaker 1: cough medicine or something. Yeah, no, no, no, Heroin Heroin is.

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Speaker 1: It's a brand name from Bear the Beard company, originally Heroin.

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Speaker 1: Well they did it as like um and alternate, a

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Speaker 1: non addictive alternative to morphine, right, and then they said,

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Speaker 1: oh god, what have we done? After so people start

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Speaker 1: stealing each other's gigantic bicycles and that big Uh josh,

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Speaker 1: what's something you think is underrated? Oh? Underrated? Cadberry mini eggs? Interesting? Wait,

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Speaker 1: so have you have you got a mini egg? So, okay,

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Speaker 1: we'll allow me to describe. So the Cadburry mini egg

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Speaker 1: is it's it's got like this nice candy shell. But

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Speaker 1: they chose like a nice Matt pastel for the color scheme,

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Speaker 1: so it's pleasing to look at the size is about right,

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Speaker 1: so you can just pop them in your mouth over

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Speaker 1: and over and over again, and they've got a nice crunch,

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Speaker 1: but then inside it's some really good Cadberry chocolate. That's right. Okay,

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Speaker 1: So it's just like a thicker crunch here andy shell

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Speaker 1: with more blazing color. Right. If you want to dumb

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Speaker 1: it down, you could say it's like an eminem alright.

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Speaker 1: I actually really liked those because I have a weird

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Speaker 1: eminem eating tactic where I like to let the candy

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Speaker 1: shell melt in my mouth and then proceed to eat

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Speaker 1: the chocolate. And with the Cadbury ones, the shell is

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Speaker 1: so thick. Is the time investment? Right? Yeah, you have

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Speaker 1: to disciplined if you like to eat like that, or

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Speaker 1: your eminem's like that. I also, speaking of the Matt finish,

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Speaker 1: my favorite eminem color growing up was the light brown,

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Speaker 1: which just seemed like the most delicious color for a

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Speaker 1: chocolate candy to me. And then they did away with it.

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Speaker 1: Uh they did so? Yeah, they did a long time ago,

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Speaker 1: didn't they. Oh wow, Yeah, but that's been gone for

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Speaker 1: a while. There's still but it's like a lighter, a

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Speaker 1: lightish color. But is there a dark dark brown still around? Ye?

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Speaker 1: Dark still around? But they got rid of They got

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Speaker 1: rid of the sort of mocha colored eminem and they

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Speaker 1: never even had it for peanut Eminem's that always bus

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Speaker 1: it really said. Okay, Josh, what's something that is overridden?

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Speaker 1: Well on on the other side of the coin, but

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Speaker 1: I think is overrated are the Cadburry cream eggs. Wow?

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Speaker 1: I mean everybody likes everyone likes the Cadburry cream egg right,

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Speaker 1: Like it's just part of Easter whatever, which, by the way,

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Speaker 1: Easter now is like concurrent. It begins concurrently with Valentine's Day,

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Speaker 1: which is a problem because if you like get into

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Speaker 1: that Easter candy, you just keep going back and back

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Speaker 1: over and over again. Yeah, and I think they've probably

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Speaker 1: planned this out. But um so, Cadburry cream eggs, it's

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Speaker 1: like a part of Easter. But they also with the

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Speaker 1: thing no one ever talks about. I don't understand why

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Speaker 1: we're not talking about this is that they give you

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Speaker 1: like horrible chemical burn to like they scorch your sinuses

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Speaker 1: on the way down. Who wants that from ca? Yes,

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Speaker 1: many of them. In the TV commercial where the rabbit

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Speaker 1: is laying the egg, yes, yes, yeah, see that already

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Speaker 1: put me off as a kid. I was like, this

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Speaker 1: is so that the rabbits like, and it's like giving

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Speaker 1: birth to like an egg, because it wasn't. The inside

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Speaker 1: is supposed to seem like an egg, like had like

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Speaker 1: a yolk. It still does. It wasn't. It wasn't past

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Speaker 1: tense supposed to. It just still and does look like

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Speaker 1: an egg. And I don't know. I'm for it in

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Speaker 1: the sense that it's one of the few foods that

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Speaker 1: when you eat it, it like gets you literally high

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Speaker 1: from like just the sheer concentration of like liquid sugar

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Speaker 1: inside of it. Yeah. Oh, it's just jam packed and

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Speaker 1: it's like the right size and sort of makeup that

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Speaker 1: you don't really want to take a half a bite,

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Speaker 1: so you put the whole thing arm out and just

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Speaker 1: like yeah, yeah, it's like sushi. It's like this. I'd say,

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Speaker 1: it's the sushi of of Easter candy I can for you, Miles,

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Speaker 1: I would say, or one of your homeless wings. And

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Speaker 1: I don't um, but yeah, so you get a chemical

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Speaker 1: burn on the way down. I've not had that. Yeah,

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Speaker 1: I guess I thought everybody didn't. We were just pretending

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Speaker 1: it didn't happen because everyone liked the cadberry egg, but

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Speaker 1: I guess it's just me, so I don't I don't

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Speaker 1: like them for that reason. I'll still eat him, but

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Speaker 1: I don't enjoy it. Now do you get them? Do

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Speaker 1: you get your Cadberry eggs from like a licensed like

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Speaker 1: CBS or where are you getting your und What was

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Speaker 1: he on trial? Right now? Yeah? All right you, I'm

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Speaker 1: sure you've convinced some people. Uh, And let's get into format, guy,

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Speaker 1: as we're trying to take a sample of what people

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Speaker 1: are thinking and talking about right now today at the

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Speaker 1: moment that we record, and the way we like to

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Speaker 1: open up is by asking our guests, what is a myth?

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Speaker 1: What's something that people believe to be true that is

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Speaker 1: not actually true? Based on your experience, Josh, and I'm

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Speaker 1: very excited for this one because I feel like you

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Speaker 1: have come across all the myths in your time as

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Speaker 1: the host of stuff You should know. We we've been known,

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Speaker 1: Chuck and I too have busted a myth or two

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Speaker 1: here there. Um. The one that I came up with

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Speaker 1: for today is the myth that ignoring people in public

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Speaker 1: is rude, like pretending you don't even see somebody in public, right, Okay,

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Speaker 1: So so you know especially when people who may maybe

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Speaker 1: live outside of cities come into cities. One of the

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Speaker 1: things they always remark is, oh, my gosh, everybody's so rude.

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Speaker 1: They just don't even make eye contact. And there's this guy,

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Speaker 1: this social scientist back in the sixties named Irvin Goffman,

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Speaker 1: and he studied this phenomenon and he concluded that actually

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Speaker 1: what was going on was this really intricate dance that

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Speaker 1: people who live in in cities have kind of developed

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Speaker 1: as a part of just being a productive member of society,

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Speaker 1: where you act like the other person's not there, and

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Speaker 1: what you're really doing is affording a certain measure of

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Speaker 1: privacy for yourself and for them in places where their

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Speaker 1: privacy is extremely scarce, which is why people who don't

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Speaker 1: live in cities come to the city and don't get this,

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Speaker 1: because they have tons of privacy, so they like to

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Speaker 1: interact in public. People who live in like a city

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Speaker 1: where you're living on top of other people, you don't

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Speaker 1: have as much privacy, So you pretend that the other

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Speaker 1: person is not there. It's called civil inattention. It's actually

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Speaker 1: pretty interesting stuff. Yeah, there's also a practical aspect to it, too, right,

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Speaker 1: because you can't if you acknowledged everybody in the city,

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Speaker 1: you would you would not be able to get anything

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Speaker 1: like uh. In New York, you quickly learn that you

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Speaker 1: have to look where you're going, like about six feet

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Speaker 1: in front of you, at the ground where you're going,

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Speaker 1: and people just sort of into it based on that

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Speaker 1: where you're headed, and like that's how you moved through

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Speaker 1: the city of New York. You can't if you like

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Speaker 1: try to look at people in the face, You're just

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Speaker 1: gonna get into all sorts of awkward things and it's

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Speaker 1: gonna take you forever to like walk down the city block.

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Speaker 1: I guess it's true because like when I've gone to

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Speaker 1: like traveled too smaller towns or or areas that aren't

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Speaker 1: is like sort of just sprawling cities. Like when I

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Speaker 1: went to Eugene, Oregon the first time visiting my friend

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Speaker 1: who went to you AVO shout out to Chris um I.

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Speaker 1: I was at a convenience store and I was wearing

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Speaker 1: a Lakers had and someone's like, hey, so the Lakers, huh,

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Speaker 1: like they're they're a pretty good team. And I was

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Speaker 1: so suspicious because in l A you don't talk to anybody.

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Speaker 1: It's like, let me just get my ship. I'm gonna go.

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Speaker 1: And I thought he was trying to scam me because

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Speaker 1: I was like, Okay, what's the ask here? Yeah, man,

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Speaker 1: they're a good team, and he's like, yeah, they're doing

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Speaker 1: pretty well. I was like uh huh, and he's like,

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Speaker 1: all right, we'll have a good day. And I was

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Speaker 1: like you too, And I walked out from like such

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Speaker 1: an asshole because I had. I guess it's weird too.

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Speaker 1: I wonder if there is some like a phenomenon to

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Speaker 1: about the defenses that we have just being in cities

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Speaker 1: too that are just different, that like, you know, when

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Speaker 1: you're and you you you respond to friendliness of strangers

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Speaker 1: in a different way, because I definitely have that, or

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Speaker 1: maybe that's my social inattention coming into no I think

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Speaker 1: I think you're right, you know, like when you're you

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Speaker 1: have to be on guard in the city, even when

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Speaker 1: you are actively ignoring other people. I think part of

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Speaker 1: what what Irvan Goffman found was like, we're still ignoring

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Speaker 1: one another, but we also have like a decent portion

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Speaker 1: of our awareness and attention peripherally on everybody else because

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Speaker 1: there is a chance that somebody's gonna like draw a

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Speaker 1: knife and come at you, you know. So living in

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Speaker 1: the city, it's it's uh, it has both of those things,

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Speaker 1: ignoring people while also being extremely threatened and frightened of

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Speaker 1: other people. Right, Yeah, I guess I have cruel and

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Speaker 1: unusual world syndrome. Like you watch the news so much

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Speaker 1: like that's reality. But actually I loved it though it

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Speaker 1: made me realize how wired being wired like that in

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Speaker 1: the city. Actually it doesn't vibe well with me. I'd

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Speaker 1: like to be able to be like, oh, everyone's friendly. Yeah,

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Speaker 1: and now Myles approaches everybody on the street, and that's

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Speaker 1: really becoming a problem in Hollywood. Hey, I'm getting scammed

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Speaker 1: a lot. Welcome to Hollywood. Yeah, yeah, you should dress

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Speaker 1: up as like Batman or something. A lot of people there.

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Speaker 1: All right, let's get into format, guys. Uh. We wanted

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Speaker 1: to start off Miles. I've been gone for a week

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Speaker 1: and Daddy was gone. I come back, and the first

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Speaker 1: story you want to talk about is that you think

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Speaker 1: Donald Trump is actually making America great again. I've had

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Speaker 1: a change of heart while you were gone. I had

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Speaker 1: some real interesting guests that didn't actually make it onto air,

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Speaker 1: just some sside conversations with people I met in Hollywood

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Speaker 1: and in terms out Donald Trump is making America great

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Speaker 1: because I'm just I guess, you know, this is not

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Speaker 1: an original take, but just the groundswell of of activism

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Speaker 1: and demonstrations that have been going on from the uh,

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Speaker 1: you know, the students in Florida to the West Virginia teachers.

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Speaker 1: You're starting to see that people are really taking their

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Speaker 1: power very seriously. And I wanted, I just more wanted

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Speaker 1: to bring it up in the context of what the

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Speaker 1: West Virginia teacher strikes. So we talked to about it

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Speaker 1: last week how they were I think just a week

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Speaker 1: ago today when Star June was on, she brought it

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Speaker 1: up how the teachers in West Virginia went on strike

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Speaker 1: because they're asking for a five percent pay increase and

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Speaker 1: they were, you know, the governor and the state legislature

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Speaker 1: were playing hardball, and so they had to go on strike.

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Speaker 1: Last week, the governor and the teachers at union made

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Speaker 1: in agreement. They made a deal that said, okay, let's well,

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Speaker 1: we'll agree to this five percent. Now, we just need

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Speaker 1: the State House and States Senate to vote on it.

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Speaker 1: The State House passed a five percent increase. The States Senate, however,

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Speaker 1: only passed a four percent increase. So the teachers are like, nah,

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Speaker 1: that we're going back on strike because we asked for

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Speaker 1: five percent. Now, one of the reasons why is that

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Speaker 1: the states, like the head of the state Senate was

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Speaker 1: basically saying that you know, we can agreeing to five

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Speaker 1: percent increase didn't take into account like what the state

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Speaker 1: is actually bringing in. They're saying, well, we don't really

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Speaker 1: have that money. Uh, and they should actually, you know,

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Speaker 1: they're actually making a bad example to students because they're

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Speaker 1: getting eight percent of their demands, so they need to

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Speaker 1: show what compromises without really acknowledging that these teachers have

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Speaker 1: been compromising for years. So now they The strike continues

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Speaker 1: and and hopefully it will end soon. But a lot

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Speaker 1: of people, especially in West Virginia, like why don't rather

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Speaker 1: than giving huge tax breaks to the energy sector, mostly coal. Uh,

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Speaker 1: you know you can, you can roll some of that

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Speaker 1: back and actually put money back into our pockets. Because

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Speaker 1: this is sort of the methodology that these state houses uses.

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Speaker 1: They give tax cuts away, and this applies to all governments.

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Speaker 1: They'll give tax cuts away or tax breaks two people,

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Speaker 1: and then they make up for the money by taking

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Speaker 1: stuff out of like public sector good or or teachers

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Speaker 1: or the education system. So this is just kind of

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Speaker 1: interesting to see because the teachers are are are seeing

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Speaker 1: how the state is prioritizing sort of corporate profit over

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Speaker 1: the own well being of the children in their state. Uh,

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Speaker 1: and they're taking action. And what's crazy now is that

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Speaker 1: this is starting to spread. So in Oklahoma, Uh, they

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Speaker 1: they seem to be planning another there a strike as

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Speaker 1: well for the teachers there because they haven't had i

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Speaker 1: think a pay rise like ten years, and that state

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Speaker 1: legislature to they're giving, you know, some breaks away to

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Speaker 1: some of the oil producers, uh, people who are causing earthquakes,

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Speaker 1: so they are you know, it's just interesting to see

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Speaker 1: that now we have teachers to who are really taking

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Speaker 1: it by the reins and like looking out for themselves

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Speaker 1: and not only themselves, but for the students because at

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Speaker 1: the end of the day, you want teachers who are

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Speaker 1: happy doing their job. And a lot of becoming a

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Speaker 1: teacher isn't easy, you know, like you have you take

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Speaker 1: on student debt to to to be a fully you know,

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Speaker 1: accredited teacher and being paid nothing. It wears on you

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Speaker 1: and you want to be able to focus on your

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Speaker 1: on your students and be able to you know, enrich

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Speaker 1: their lives. So it's just it's it's it's a great

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Speaker 1: thing to see now of all these people just kind

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Speaker 1: of taking the power back. Yeah, And when we were

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Speaker 1: having the tax debate, there were there were conversations about

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Speaker 1: how a lot of teachers end up spending money out

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Speaker 1: of their own pocket for school supplies because funding has

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Speaker 1: been so drastically cut in recent years, because public education

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Speaker 1: has sort of fallen and out of favor. And now

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Speaker 1: the new thing is like, well, guess what alongside being

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Speaker 1: underpaid and being you know, crushed under healthcare, cause we

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Speaker 1: want also we want you to learn how to shoot

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Speaker 1: a gun, like WHOA, come on now, don't just pile

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Speaker 1: on the responsibilities like that. So also another thing too

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Speaker 1: is we'll add a link because the thing about these

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Speaker 1: two states, especially in Oklahoma and West Virginia, those states

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Speaker 1: specifically prohibit public sector workers from going on strike at all,

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Speaker 1: so there's no strike pay. These people are just depleting

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Speaker 1: their own funds to take a stand for what's right,

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Speaker 1: and you know, I think they're there. This is a

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Speaker 1: cause that's worth helping. We'll attach a link to um

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Speaker 1: our footnotes today, so you can find out how you

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Speaker 1: can contribute to the strike fund West Virginia. I don't

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Speaker 1: know if there's one for Oklahoma yet, but yeah, these teachers,

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Speaker 1: they're they're losing money even trying to get fair pay,

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Speaker 1: so yes, we should help them out. Yeah, my education

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Speaker 1: began in West Virginia public schools actually willing West Virginia

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Speaker 1: through second grade. Uh, And what was like that? It

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Speaker 1: was great as far as I know, I was. I

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Speaker 1: wasn't like the most critic saying that I was seven

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Speaker 1: and had never been to another school before and an

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Speaker 1: hooked on paragoric. Yes, not to mention, um, you're like, yeah,

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Speaker 1: ms Connors, are you satisfied with your wages? I'll go

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Speaker 1: back to yeah. Um yeah, Just a couple of things

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Speaker 1: that occurred to me during that one. Josh, have you

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Speaker 1: guys talked about the man made earthquakes and Oklahoma on

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Speaker 1: stuff you should know? Is it from fracking? Yeah, we've

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Speaker 1: talked about him from like building reservoirs and stuff, and

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Speaker 1: I think I'm sure we talked about it in the

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Speaker 1: fracking episode, but yeah, I'm familiar. That's so crazy, man,

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Speaker 1: That's like, yeah, if you think about it, like the

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Speaker 1: Earth is kind of pretty densely compact. The mantel is

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Speaker 1: and if you start messing with it, of course it's

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Speaker 1: gonna it's gonna punch back. It's the Earth. It's does

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Speaker 1: it takes no, it takes no crap. There's a great

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Speaker 1: uh yeah, that's true about the Earth. We're starting to

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Speaker 1: see that. There's a great sixty minutes uh where they

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Speaker 1: just covered all all of the earthquakes and they show

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Speaker 1: a graph in the in the segment and it's just

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Speaker 1: it was like zero earthquakes to like five hundred earthquakes

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Speaker 1: in the previous year. Uh, you know, zero earthquakes like

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Speaker 1: back in the eighties before they start cracking because energy companies, Yeah,

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Speaker 1: energy companies find a way to uh you know, be like,

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Speaker 1: well we disagree with this analysis. Well we think too

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Speaker 1: many illegal immigrants live on that side of town, right,

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Speaker 1: and they're throwing the balance off. Another thing, companies are

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Speaker 1: really good at that. Uh you're kind of description of

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Speaker 1: the West Virginia situation reminded me of companies are great

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Speaker 1: at pretending they don't have money. That's something you learned

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Speaker 1: in the entertainment industry that I wasn't aware of, Like, uh,

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Speaker 1: you know, before I became an adult, and I know

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Speaker 1: we have a lot of listeners who aren't yet adults. Like,

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Speaker 1: companies are great at, you know, projecting earnings and like,

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Speaker 1: you know, having really rosie projections for how much money

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Speaker 1: they're gonna make. But then when it comes time to

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Speaker 1: pay you, when it comes time to decide how much

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Speaker 1: they owe the people who work for them, that they

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Speaker 1: suddenly have like these really ingenious ways of accounting that

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Speaker 1: make it seem like we were out of money. I

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Speaker 1: don't know what we can do. Um, here have this

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Speaker 1: exposure instead. Exactly, we'll pay you an exposure, right, See,

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Speaker 1: this is good for your career as a teacher. Have

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Speaker 1: you thought about exposure pay? Got got that CNN interview. Um.

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Speaker 1: One of the things that's always bothered me about that

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Speaker 1: about companies, like pleading poverty, is the idea of corporate

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Speaker 1: welfare being championed by the same people who hate individual

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Speaker 1: welfare and refused to recognize that they are the exact

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Speaker 1: same thing, at least in principle. If not one seems

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Speaker 1: a lot better than the other, ending on your stands.

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Speaker 1: So what that's that's always bugged to me? Explain what

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Speaker 1: what is corporate welfare. Well, corporate welfare. It's like, um,

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Speaker 1: if you give massive tax breaks, I think you're saying,

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Speaker 1: like a lot of the Oklahoma State House gives tax

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Speaker 1: breaks to energy companies, like one of the one of

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Speaker 1: the industries in your state. They might get huge sweetheart

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Speaker 1: deals and tax breaks and and just all these packages

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Speaker 1: that they can be given to save money. The state

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Speaker 1: governments do it to keep companies in their states. The

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Speaker 1: federal government does it to promote you know whatever in

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Speaker 1: the economy. But it amounts to what's what's called corporate welfare.

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Speaker 1: And it's basically the same thing. It's saying, let's throw

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Speaker 1: this whole idea of competition out the window, and um, here,

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Speaker 1: just take this big chunk of taxpayer funded money because

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Speaker 1: you're in our state and we like you. It's it's welfare.

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Speaker 1: It's the same thing is saying, hey, you're down on

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Speaker 1: your luck and you're a human being and an American.

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Speaker 1: Um here, take this tiny, meager bit of money and

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Speaker 1: buy some groceries with it. It's the same yeah, and

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Speaker 1: it it's funded by the taxpayers and they don't have

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Speaker 1: a say in that. That. A really sort of public

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Speaker 1: example of this is that Amazon, Uh did a really

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Speaker 1: brilliant thing and like sort of uh, Willy Wonka ized

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Speaker 1: the competition for where they're gonna put h Q two

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Speaker 1: their second headquarters. Uh and yeah. And the brilliant thing

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Speaker 1: about this is is the media is covering it as

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Speaker 1: like who's gonna get the golden ticket, Who's gonna be

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Speaker 1: lucky enough to have Amazon's headquarters near corporate teacher? Right,

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Speaker 1: But the way that these cities are competing for them

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Speaker 1: is being like you you won't pay taxes. Basically if

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Speaker 1: you come here, you won't pay taxes, like like we

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Speaker 1: will give you everything. Um, and yeah, it's not it's

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Speaker 1: not going to be good for the citizens necessarily and

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Speaker 1: probably not very good for them at all. Uh for

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Speaker 1: Amazon though, Yeah, Well, you know what's interesting In Georgia,

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Speaker 1: we had a reverse of recently where Delta came out

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Speaker 1: and said, you know what, you guys didn't know we

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Speaker 1: did this unless you were a member of the n

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Speaker 1: r A. But we used to give discounts to n

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Speaker 1: r A members and we're gonna we're not gonna do

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Speaker 1: that anymore. There's not gonna be n r A discounts.

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Speaker 1: And the Georgia Senate voted to take a tax break

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Speaker 1: away from Delta as to punish them basically for for

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Speaker 1: speaking out or having whatever corporate policy they wanted to have,

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Speaker 1: which is it was very surprising that they messed with Delta.

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Speaker 1: There are very few people who were happy that they

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Speaker 1: did that, um, just because it's like Delta has provides

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Speaker 1: a lot of jobs in Georgia and Atlanta in particular,

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Speaker 1: so to kind of mess with them like that was

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Speaker 1: was possibly ill advised. Well, there's also even a conversation

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Speaker 1: of like if this actually may have violated Delta's First

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Speaker 1: Amendment rights in a very legally roundabout way because technically they,

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Speaker 1: you know, corporations were deemed to have free speech and

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Speaker 1: can contribute to campaigns and things like that or elections

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Speaker 1: and things like that. It's it's weird. And also when

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Speaker 1: you think about it, uh, Delta are released like figures

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Speaker 1: they said only thirteen people use that discount, right, So

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Speaker 1: I'm sorry, like all that for thirteen people, right right.

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Speaker 1: They took away like a probably a multimillion dollar text

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Speaker 1: And we talked about that because its like, yeah, I

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Speaker 1: think it added up to about fifty million for Delta,

426
00:23:18,640 --> 00:23:20,800
Speaker 1: but they already made a hundred fifty million off the

427
00:23:20,880 --> 00:23:23,760
Speaker 1: tax scam or in December, so I think they'll be

428
00:23:23,840 --> 00:23:25,920
Speaker 1: okay scam. Yeah, that's the other thing I think about

429
00:23:25,960 --> 00:23:28,679
Speaker 1: the state of affairs where we're like, oh, Delta, you know,

430
00:23:28,760 --> 00:23:31,320
Speaker 1: like I'm in favor of you getting your tax break.

431
00:23:31,400 --> 00:23:34,960
Speaker 1: You know. It's just like like like the bedfellows keep

432
00:23:35,000 --> 00:23:38,359
Speaker 1: switching like every thirty seconds here in America these days,

433
00:23:38,400 --> 00:23:42,080
Speaker 1: it's it's beyond strange. Yeah, it's it's hard to keep

434
00:23:42,160 --> 00:23:43,879
Speaker 1: up with. That's why you need to listen to a

435
00:23:43,920 --> 00:23:47,800
Speaker 1: show like the Daily ZiT Guy Boom. Uh. Yeah. I

436
00:23:48,800 --> 00:23:52,719
Speaker 1: agree that there are some promising signs of you know,

437
00:23:52,800 --> 00:23:56,840
Speaker 1: resistance and people sort of being shaken awake from their

438
00:23:56,880 --> 00:24:00,160
Speaker 1: slumber by the Trump presidency. I'm still just worried about

439
00:24:00,200 --> 00:24:03,439
Speaker 1: what happens if America is attacked or if there's so

440
00:24:03,760 --> 00:24:08,359
Speaker 1: like it's been a pretty ordinary uh you know, handful

441
00:24:08,400 --> 00:24:12,240
Speaker 1: of years. Obviously there's been tragedies, but if there's an

442
00:24:12,320 --> 00:24:17,320
Speaker 1: attack or you know, i've a significant event, as significant

443
00:24:17,359 --> 00:24:21,239
Speaker 1: event which he seems to keep teasing and uh like

444
00:24:21,320 --> 00:24:24,719
Speaker 1: kind of hoping for, or like a false flag like

445
00:24:24,880 --> 00:24:28,960
Speaker 1: Putin used to seize a bunch of power. The k

446
00:24:29,520 --> 00:24:33,080
Speaker 1: the modern KGBU bombed a bunch of buildings and then

447
00:24:33,240 --> 00:24:35,520
Speaker 1: used that as an excuse for Putin to like take

448
00:24:35,560 --> 00:24:42,920
Speaker 1: away citizens. Right yeah, yeah, that's like, no, that's yeah,

449
00:24:42,960 --> 00:24:47,400
Speaker 1: that's I mean, there's a lot there. There's a lot

450
00:24:47,480 --> 00:24:52,359
Speaker 1: of journalism that suggests that it was the basically their

451
00:24:52,720 --> 00:24:57,160
Speaker 1: equivalent of like the kgb uh that did the bombings,

452
00:24:57,160 --> 00:25:00,240
Speaker 1: and then they blamed it on terrorism. But that that's

453
00:25:00,280 --> 00:25:03,040
Speaker 1: just my concern. Like it just every chance he gets,

454
00:25:03,080 --> 00:25:06,560
Speaker 1: he seems to suggest that he wants to be like

455
00:25:06,680 --> 00:25:11,719
Speaker 1: president for life. Like he does he openly admires strong men, dictators,

456
00:25:11,840 --> 00:25:14,600
Speaker 1: and that that's all very worrying. I'm just you know,

457
00:25:14,960 --> 00:25:17,719
Speaker 1: it's great. It's all fun and good when people are

458
00:25:17,760 --> 00:25:21,000
Speaker 1: protesting and getting out there, but if something happens and

459
00:25:21,359 --> 00:25:24,440
Speaker 1: we can't get out there, Look what happened to this guy?

460
00:25:24,480 --> 00:25:26,600
Speaker 1: You have another kid, You come by, and you're worried

461
00:25:26,640 --> 00:25:31,840
Speaker 1: about everything. That's right. I think it's gonna be fine. Jack,

462
00:25:31,920 --> 00:25:36,320
Speaker 1: by the way, congratulations, Oh thanks man. I never congratulated

463
00:25:36,440 --> 00:25:41,040
Speaker 1: you on air. Congratulations nor off air. It's really really rude.

464
00:25:41,359 --> 00:25:46,280
Speaker 1: Well I was like, oh, look who's bad who decided

465
00:25:46,359 --> 00:25:53,639
Speaker 1: to come crawling back? Uh? Yeah yeah, But you should

466
00:25:53,640 --> 00:25:57,200
Speaker 1: stay out of this. He's getting messy. All right, we're

467
00:25:57,200 --> 00:25:59,960
Speaker 1: gonna take our first break and we'll be right back afterwards.

468
00:26:08,880 --> 00:26:13,560
Speaker 1: And we're back and it's time to talk about trade war.

469
00:26:18,080 --> 00:26:21,639
Speaker 1: So Miles explained this trade war to me, what's going on?

470
00:26:22,520 --> 00:26:27,679
Speaker 1: President Trump? Threatening? Yeah? So gosh, look, I'm and no

471
00:26:27,880 --> 00:26:31,679
Speaker 1: means a financial advisor, economics expert, but this is what

472
00:26:32,000 --> 00:26:35,879
Speaker 1: essentially is going down. Last week, Trump basically said he

473
00:26:35,920 --> 00:26:40,200
Speaker 1: would be enacting tariffs of twenty unimported steel and ten

474
00:26:40,280 --> 00:26:44,000
Speaker 1: percent on aluminum, and that sent the stock market just

475
00:26:44,160 --> 00:26:46,920
Speaker 1: like plummet. It just went crazy because they're like, whoa, whoa, whoa,

476
00:26:47,000 --> 00:26:49,760
Speaker 1: what is this? Because I guess he unilatterally decided that

477
00:26:49,880 --> 00:26:52,960
Speaker 1: he's gonna impose these tariffs, so for people don't know it,

478
00:26:53,080 --> 00:26:56,440
Speaker 1: terrors just attacks. Right. So he's basically saying, too, I think,

479
00:26:56,480 --> 00:26:59,840
Speaker 1: to protect domestic producers of steel and aluminum, you tax

480
00:27:00,040 --> 00:27:03,720
Speaker 1: the imported version so by you know, like price comparison,

481
00:27:03,800 --> 00:27:05,720
Speaker 1: the local stuff is cheaper, so then you're gonna use

482
00:27:05,760 --> 00:27:08,439
Speaker 1: that and that will help America win. But that's a

483
00:27:08,480 --> 00:27:12,680
Speaker 1: form of corporate welfare. Yeah, exactly. Uh. And what's really

484
00:27:12,760 --> 00:27:16,240
Speaker 1: interesting is that the rationalization or the way they came

485
00:27:16,280 --> 00:27:20,040
Speaker 1: to this decision because right now we're in the midst

486
00:27:20,119 --> 00:27:25,080
Speaker 1: of renegotiating like NAFTA, and it seems like suddenly we're

487
00:27:25,080 --> 00:27:27,879
Speaker 1: gonna tax steel, which we import a lot of steel

488
00:27:27,880 --> 00:27:30,440
Speaker 1: from Mexico Canada actually, so that's weird. But he's really

489
00:27:30,480 --> 00:27:33,480
Speaker 1: aiming in at China as well. Um, but he's China

490
00:27:33,640 --> 00:27:38,040
Speaker 1: supposedly uses uh, Mexico and like the NAFTA deal as

491
00:27:38,080 --> 00:27:43,520
Speaker 1: a loophole to basically trade US steal through those dump

492
00:27:43,560 --> 00:27:45,760
Speaker 1: it in New Mexico. And that's because of the good

493
00:27:45,800 --> 00:27:49,520
Speaker 1: rate student NAFTA they're able to write. And so they're

494
00:27:49,560 --> 00:27:53,320
Speaker 1: using this sort of weird, very weird loophole of using

495
00:27:53,400 --> 00:27:56,480
Speaker 1: the argument for national security as to why they can

496
00:27:56,520 --> 00:27:59,040
Speaker 1: just sort of go and unilaterally change these agreements like

497
00:27:59,160 --> 00:28:02,240
Speaker 1: for this like over protectionist sort of stance we're taking.

498
00:28:02,680 --> 00:28:05,920
Speaker 1: Um and as if like you know, this isn't really

499
00:28:05,960 --> 00:28:08,800
Speaker 1: a significant national security issue, because like no one at

500
00:28:08,840 --> 00:28:12,040
Speaker 1: the State Department, a Department of Defense, or the Treasury,

501
00:28:12,200 --> 00:28:14,320
Speaker 1: none of them are like I believe this is true

502
00:28:14,359 --> 00:28:17,399
Speaker 1: because they all say like, yeah, the domestic capacity is

503
00:28:17,400 --> 00:28:19,960
Speaker 1: We're good, like there's no need for this. But they're

504
00:28:20,040 --> 00:28:22,480
Speaker 1: using it as a way to sort of circumvent, uh,

505
00:28:22,760 --> 00:28:26,320
Speaker 1: just properly negotiating. And the problem is that it's basically

506
00:28:26,320 --> 00:28:29,080
Speaker 1: going to kick off. Oh so you're gonna put taxes

507
00:28:29,119 --> 00:28:30,800
Speaker 1: on our ship. Well, then now we're going to tax

508
00:28:30,840 --> 00:28:34,080
Speaker 1: your ship. So you've heard from other countries that like, okay,

509
00:28:34,119 --> 00:28:36,720
Speaker 1: well then what if we begin heavily taxing things that

510
00:28:36,840 --> 00:28:45,240
Speaker 1: the US exports like whiskey or motorcycles or yeah um,

511
00:28:45,480 --> 00:28:47,240
Speaker 1: And like when you think about it, those would hit

512
00:28:47,960 --> 00:28:50,920
Speaker 1: districts that are pretty significant to the GOP, like Harley

513
00:28:51,000 --> 00:28:53,760
Speaker 1: Davidson's or Paul Ryan that's right in his neck of

514
00:28:53,800 --> 00:28:57,720
Speaker 1: the woods, Kentucky is a huge producer of whiskey. Yeah so,

515
00:28:58,000 --> 00:29:00,800
Speaker 1: and Nancy Pelosi would Levis, I think is headquartered up

516
00:29:00,840 --> 00:29:02,520
Speaker 1: there in the Bay. So there are a lot of

517
00:29:02,520 --> 00:29:04,239
Speaker 1: people who are kind of like, yo, yo, what are

518
00:29:04,280 --> 00:29:07,240
Speaker 1: you doing Because clearly many people have tried to reason

519
00:29:07,320 --> 00:29:09,640
Speaker 1: with the President saying like it's not just as easy

520
00:29:09,680 --> 00:29:11,760
Speaker 1: as just saying, hey, we're hitting him with these tariffs

521
00:29:11,800 --> 00:29:14,560
Speaker 1: and everything's all good. It's like this is all very interconnected.

522
00:29:14,600 --> 00:29:17,040
Speaker 1: Like Gary Cohen was trying to say, this can this

523
00:29:17,080 --> 00:29:21,560
Speaker 1: can affect our construction uh and other manufacturers because it's

524
00:29:21,600 --> 00:29:23,240
Speaker 1: just not the way to do it, and it's gonna

525
00:29:23,240 --> 00:29:26,000
Speaker 1: put in jeopardy your stock market streak that you're going on.

526
00:29:26,080 --> 00:29:29,440
Speaker 1: And then apparently there's this article in Axios where Trump

527
00:29:29,560 --> 00:29:33,160
Speaker 1: kept accusing him of being a globalist. So it's because

528
00:29:33,160 --> 00:29:35,480
Speaker 1: it's gotten very weird, because what you're starting to see

529
00:29:35,480 --> 00:29:37,480
Speaker 1: two is like with Rob Porter and Hope Picks, like

530
00:29:37,520 --> 00:29:39,880
Speaker 1: a lot of these people actually they look after him

531
00:29:39,920 --> 00:29:41,400
Speaker 1: to make sure he was doing the right thing and

532
00:29:41,440 --> 00:29:44,880
Speaker 1: also keep kind of crazy people away from him, like

533
00:29:45,000 --> 00:29:48,200
Speaker 1: particularly Peter Navarro, who is the director of the Trade

534
00:29:48,280 --> 00:29:50,960
Speaker 1: Industrial Policy Or and the director of the White House

535
00:29:51,040 --> 00:29:54,280
Speaker 1: National Trade Council, and he's like a Bannonite type guy,

536
00:29:54,360 --> 00:29:56,440
Speaker 1: like he comes from that camp. He also wrote a

537
00:29:56,480 --> 00:29:59,880
Speaker 1: book called Death by China, Confronting the Dragon Um, and

538
00:30:00,080 --> 00:30:03,160
Speaker 1: he's like the kind of person that people like Kelly

539
00:30:03,200 --> 00:30:05,400
Speaker 1: and Rob Porter like they did not want to have

540
00:30:05,560 --> 00:30:08,320
Speaker 1: near the President because he would just start saying it's crazy,

541
00:30:08,520 --> 00:30:12,360
Speaker 1: fucking conspiratorial weird ship and get in his head. And

542
00:30:12,400 --> 00:30:14,680
Speaker 1: there was apparently like a huge argument in the Oval

543
00:30:14,680 --> 00:30:18,400
Speaker 1: office about this um where Kelly is still there, but

544
00:30:18,840 --> 00:30:21,560
Speaker 1: he appears to be losing hope because he's speculating that

545
00:30:21,600 --> 00:30:24,560
Speaker 1: God is punishing him with this job. So it's just

546
00:30:24,640 --> 00:30:27,800
Speaker 1: like what the fuck. Uh. Yeah, So it was a

547
00:30:27,800 --> 00:30:30,360
Speaker 1: bunch of finger pointing of like, you guys are globalist

548
00:30:30,440 --> 00:30:32,880
Speaker 1: Cox and the other guys are like, you don't understand

549
00:30:32,960 --> 00:30:36,240
Speaker 1: how like interconnected the like global markets are, and you

550
00:30:36,240 --> 00:30:39,240
Speaker 1: can't just unilaterally do this because on one hand, it

551
00:30:39,480 --> 00:30:42,040
Speaker 1: weakens our positions when we want to enter into agreements,

552
00:30:42,080 --> 00:30:44,160
Speaker 1: because there's no way that we can follow through with

553
00:30:44,200 --> 00:30:46,400
Speaker 1: what we're saying if the president just tweets something the

554
00:30:46,440 --> 00:30:49,240
Speaker 1: next day and throws everything out of whack. Right, So

555
00:30:49,280 --> 00:30:53,400
Speaker 1: the first thought you have in economy is like, well,

556
00:30:53,480 --> 00:30:57,520
Speaker 1: people aren't buying enough of our goods from us internally,

557
00:30:57,680 --> 00:31:00,640
Speaker 1: so we're going to attack the other guys goods. It's

558
00:31:00,680 --> 00:31:03,720
Speaker 1: like the very first thought you have. And then you

559
00:31:03,800 --> 00:31:06,600
Speaker 1: talk to people who are experts and they're like, well,

560
00:31:07,080 --> 00:31:11,000
Speaker 1: but that actually hurts you and only helps, like very

561
00:31:11,040 --> 00:31:15,200
Speaker 1: specifically the people who like own those factories, because yeah,

562
00:31:15,240 --> 00:31:19,200
Speaker 1: like you said, there's so much interconnection. Uh, you know,

563
00:31:19,760 --> 00:31:23,760
Speaker 1: people who run these companies, like car companies are importing

564
00:31:24,720 --> 00:31:28,480
Speaker 1: cheaper steel or aluminum from other countries, and so that's

565
00:31:28,480 --> 00:31:32,200
Speaker 1: gonna hurt like car manufacturers and the people who work

566
00:31:32,200 --> 00:31:35,160
Speaker 1: in those factories, which are way more than the people

567
00:31:35,160 --> 00:31:39,400
Speaker 1: who work and steel, so it has very specific benefits. Um.

568
00:31:40,040 --> 00:31:42,120
Speaker 1: I don't know. This is not the first time I've

569
00:31:42,160 --> 00:31:45,520
Speaker 1: been reminded of the Vonnegutt quote. The big trouble with

570
00:31:45,600 --> 00:31:48,520
Speaker 1: dumbastards is they're too dumb to believe there's such a

571
00:31:48,600 --> 00:31:52,560
Speaker 1: thing as being smart. With Trump, because I feel like

572
00:31:52,800 --> 00:31:56,240
Speaker 1: he gets the first idea and thinks he's the first

573
00:31:56,280 --> 00:31:58,280
Speaker 1: person to have it, and it's like, no, that's like

574
00:31:58,680 --> 00:32:01,880
Speaker 1: the first of twenty ideas people have and then discard

575
00:32:02,200 --> 00:32:05,520
Speaker 1: and go to a better idea. And the last thing

576
00:32:05,560 --> 00:32:08,480
Speaker 1: I'd say is just that, you know, the argument that

577
00:32:08,520 --> 00:32:11,800
Speaker 1: there is a national security risk, I would just say,

578
00:32:11,880 --> 00:32:14,640
Speaker 1: you know, most people think a big part of this huge,

579
00:32:14,800 --> 00:32:18,560
Speaker 1: unprecedented period of peace that we've been living through for

580
00:32:18,600 --> 00:32:22,080
Speaker 1: the past you know, fifty years, in terms of uh,

581
00:32:22,360 --> 00:32:26,720
Speaker 1: no major countries fighting one another, like not having world wars,

582
00:32:27,240 --> 00:32:30,480
Speaker 1: uh not having wars that kill you know, millions and

583
00:32:30,560 --> 00:32:33,240
Speaker 1: millions of people. Uh. A lot of people think it's

584
00:32:33,280 --> 00:32:37,400
Speaker 1: because of international trade and because you know, why would

585
00:32:37,440 --> 00:32:41,960
Speaker 1: we invade China when we can get stuff from them

586
00:32:42,000 --> 00:32:44,080
Speaker 1: that they do better than us, and give them stuff

587
00:32:44,080 --> 00:32:46,720
Speaker 1: that we do better than them. So it doesn't benefit

588
00:32:46,760 --> 00:32:49,720
Speaker 1: anybody anymore to go to war. But trying to go

589
00:32:49,760 --> 00:32:55,800
Speaker 1: back to this sort of isolationist nationalist stance is actually

590
00:32:56,160 --> 00:32:59,960
Speaker 1: probably in the long run, much worse for national secure

591
00:33:00,920 --> 00:33:03,640
Speaker 1: Have you have you, guys, ever heard of the McDonald's

592
00:33:03,720 --> 00:33:07,360
Speaker 1: or the Golden Arches theory of UM global peace. I

593
00:33:07,360 --> 00:33:10,520
Speaker 1: think it's called yeah, yeah, I have. I'm just reading

594
00:33:11,320 --> 00:33:15,520
Speaker 1: a bunch of panker over my paternity week, but explain

595
00:33:15,600 --> 00:33:18,560
Speaker 1: what that is. So it's basically and it's UM. It's

596
00:33:18,600 --> 00:33:20,920
Speaker 1: been discredited now, but it held up for a really

597
00:33:20,920 --> 00:33:23,960
Speaker 1: long time, I think until some of the Yugoslavian countries

598
00:33:24,040 --> 00:33:26,240
Speaker 1: went at it back in the nineties and the Balkans.

599
00:33:26,640 --> 00:33:31,200
Speaker 1: But there was this period where no country that had

600
00:33:31,240 --> 00:33:35,280
Speaker 1: a McDonald's had ever gone to war open war with

601
00:33:35,400 --> 00:33:38,040
Speaker 1: another country that had a McDonald's in it. And the

602
00:33:39,320 --> 00:33:42,240
Speaker 1: basic idea behind this is that if you had McDonald's,

603
00:33:42,280 --> 00:33:46,920
Speaker 1: you had a thriving free trade democracy, a capitalist democracy,

604
00:33:47,240 --> 00:33:49,800
Speaker 1: or at the very least you had some form of capitalism.

605
00:33:49,880 --> 00:33:53,680
Speaker 1: And the idea was that capitalist societies wanted to make

606
00:33:53,760 --> 00:33:56,320
Speaker 1: money off of other capitalist societies not go to war

607
00:33:56,400 --> 00:33:58,200
Speaker 1: with them. So it kind of it kind of under

608
00:33:58,400 --> 00:34:01,240
Speaker 1: underscored what you were saying about the idea that free

609
00:34:01,280 --> 00:34:04,920
Speaker 1: trade and globalism could conceivably promote peace, at least in

610
00:34:04,960 --> 00:34:06,920
Speaker 1: a lot of people's mind. Certainly, it doesn't sound like

611
00:34:06,960 --> 00:34:10,640
Speaker 1: Competer Navarro's mind. No, not at all. So, and I

612
00:34:10,680 --> 00:34:12,680
Speaker 1: wonder I wonder about him. I'm sorry, one more thing

613
00:34:12,680 --> 00:34:15,000
Speaker 1: I wonder about him if he kind of represents that

614
00:34:15,040 --> 00:34:18,080
Speaker 1: whole guard that got Trump elected in the first place,

615
00:34:18,080 --> 00:34:20,440
Speaker 1: which is kind of like just tear the whole place

616
00:34:20,480 --> 00:34:24,600
Speaker 1: down and start over again. If you are an anti

617
00:34:24,600 --> 00:34:26,920
Speaker 1: globalist and you're you know, you have the ear of

618
00:34:26,960 --> 00:34:30,600
Speaker 1: the president, uh, you might not care if that there

619
00:34:30,719 --> 00:34:33,680
Speaker 1: there will be what you would consider short term harm

620
00:34:33,719 --> 00:34:36,279
Speaker 1: that would come from a trade war, especially if it

621
00:34:36,480 --> 00:34:40,840
Speaker 1: it disentrenched America from this kind of global economy that

622
00:34:40,920 --> 00:34:43,759
Speaker 1: it's it's a major part of now. Yeah, And that's

623
00:34:43,760 --> 00:34:46,480
Speaker 1: why I was saying that I'm reading a lot of Pinker,

624
00:34:46,560 --> 00:34:50,640
Speaker 1: Like he just released a book, uh, Enlightenment Now, which

625
00:34:50,680 --> 00:34:53,160
Speaker 1: is his follow up to the Better Angels of Our

626
00:34:53,640 --> 00:34:56,279
Speaker 1: Nature book that I was talking about a couple of

627
00:34:56,320 --> 00:34:58,719
Speaker 1: weeks ago. And you know, his whole stances that like

628
00:34:58,760 --> 00:35:01,520
Speaker 1: when you look at statistic Uh, you know, the world

629
00:35:01,600 --> 00:35:06,080
Speaker 1: is becoming vastly more peaceful because of you know, democracy

630
00:35:06,120 --> 00:35:08,759
Speaker 1: spreading and international trade and you know what you were

631
00:35:08,800 --> 00:35:12,280
Speaker 1: just talking about, Josh, and and because of this narrative

632
00:35:12,360 --> 00:35:14,840
Speaker 1: that has been taking hold in many places around the

633
00:35:14,880 --> 00:35:18,280
Speaker 1: world that things are getting worse because of the news

634
00:35:18,320 --> 00:35:21,400
Speaker 1: we consume, because of you know, the things that we

635
00:35:21,480 --> 00:35:25,200
Speaker 1: say to each other on social media. Uh, we people

636
00:35:25,200 --> 00:35:27,719
Speaker 1: think things are getting worse, and there's there is this

637
00:35:27,760 --> 00:35:30,160
Speaker 1: idea that nah, fuck it, tear it all down. Things

638
00:35:30,200 --> 00:35:33,400
Speaker 1: have gotten so bad, and it's like no progress, progress

639
00:35:33,440 --> 00:35:37,120
Speaker 1: is working. It's you know, and it's not. Nothing is perfect.

640
00:35:37,200 --> 00:35:40,560
Speaker 1: And I don't want to say, you know, we're we're

641
00:35:40,600 --> 00:35:43,440
Speaker 1: where we need to be, but uh, you know, things

642
00:35:43,760 --> 00:35:47,360
Speaker 1: when you look at most problems and compare them to

643
00:35:47,480 --> 00:35:50,600
Speaker 1: where those problems where a hundred years ago, uh, things

644
00:35:50,640 --> 00:35:54,160
Speaker 1: are just vastly better and even better when you compared

645
00:35:54,239 --> 00:35:57,239
Speaker 1: to two hundred years ago. So the frustration reminds of

646
00:35:57,239 --> 00:35:58,919
Speaker 1: like when you're a kid and you're building a really

647
00:35:58,920 --> 00:36:03,600
Speaker 1: elaborate lego and you misplaced one piece like ten pieces later,

648
00:36:03,640 --> 00:36:05,879
Speaker 1: and you're like fuck it, and you smash the whole

649
00:36:05,960 --> 00:36:09,000
Speaker 1: thing rather than just going back. It's it's only ten

650
00:36:09,000 --> 00:36:11,520
Speaker 1: pieces ago. You don't gotta smash the whole fucking thing.

651
00:36:11,960 --> 00:36:14,680
Speaker 1: You can address that. And what's apparently like in this

652
00:36:14,719 --> 00:36:17,120
Speaker 1: meeting that I was talking about this Axios article, Trump

653
00:36:17,160 --> 00:36:20,680
Speaker 1: just kept like shaming people by calling them globalists throughout

654
00:36:20,680 --> 00:36:22,440
Speaker 1: the thing. Like to Rob Porter, he was like, Wow,

655
00:36:22,480 --> 00:36:25,719
Speaker 1: I didn't realize you were such a globalist. And what's

656
00:36:25,760 --> 00:36:28,840
Speaker 1: interesting is that, like you know, Porter, and I think

657
00:36:29,000 --> 00:36:31,799
Speaker 1: John Kelly and Gary Cohne, they were just kind of

658
00:36:31,840 --> 00:36:33,960
Speaker 1: like resigned to the fact that, like, wow, he's just

659
00:36:34,160 --> 00:36:37,719
Speaker 1: in like this weird mood. Because the way the adults

660
00:36:37,719 --> 00:36:39,400
Speaker 1: in the room, they thought they were going to have

661
00:36:39,440 --> 00:36:42,680
Speaker 1: like a sequence of tariffs that would slowly guide the

662
00:36:43,080 --> 00:36:45,520
Speaker 1: like the president to the right decision. So they're like,

663
00:36:45,600 --> 00:36:48,720
Speaker 1: first they we put tariffs on solar panels and washing

664
00:36:48,719 --> 00:36:52,840
Speaker 1: machines like to compete with China, and then like on

665
00:36:53,080 --> 00:36:57,160
Speaker 1: hundreds of Chinese products that were like stealing American intellectual property,

666
00:36:57,160 --> 00:36:59,759
Speaker 1: which was like something that was imminent, and then like

667
00:36:59,800 --> 00:37:02,440
Speaker 1: an then maybe do the steel and aluminum if if

668
00:37:02,480 --> 00:37:05,080
Speaker 1: at that point Trump really thought that he still needs

669
00:37:05,120 --> 00:37:08,200
Speaker 1: to slam them on this trade stuff. But I guess

670
00:37:08,200 --> 00:37:10,440
Speaker 1: at this point like he's fully committed because he kept

671
00:37:10,440 --> 00:37:13,040
Speaker 1: also mentioned like my base needs this, my base needs this.

672
00:37:13,120 --> 00:37:14,640
Speaker 1: And I think when you look at last week what

673
00:37:14,680 --> 00:37:17,200
Speaker 1: was going on with Hope Picks leaving, which was a

674
00:37:17,320 --> 00:37:20,360
Speaker 1: very close aid to him, and all the terrible press

675
00:37:20,400 --> 00:37:23,319
Speaker 1: about Jared and Ivanka, like I think this just sort

676
00:37:23,320 --> 00:37:25,560
Speaker 1: of like triggered him going like, oh, here's red meat

677
00:37:25,560 --> 00:37:28,920
Speaker 1: for my base without thinking what this actually means. It's

678
00:37:28,920 --> 00:37:31,399
Speaker 1: similarly like even with the guns stuff last week, when

679
00:37:31,400 --> 00:37:33,719
Speaker 1: he was like take the guns and then do process.

680
00:37:34,239 --> 00:37:36,680
Speaker 1: But he's just he's just, you know, likely the last

681
00:37:36,680 --> 00:37:39,320
Speaker 1: thing that he heard. And right right, I mean, maybe

682
00:37:39,400 --> 00:37:46,799
Speaker 1: the markets are responding positively today because people are now realizing, oh,

683
00:37:46,840 --> 00:37:50,440
Speaker 1: he just says ship, but I can't believe we're still

684
00:37:50,480 --> 00:37:55,640
Speaker 1: realizing that year. Like it's like people just can't believe that.

685
00:37:55,680 --> 00:37:58,560
Speaker 1: But it's the case, you know, like, um, he just

686
00:37:59,560 --> 00:38:03,360
Speaker 1: says stuff and then he either forgets it or backs

687
00:38:03,360 --> 00:38:05,799
Speaker 1: off of it, or maybe doubles down for a little while.

688
00:38:05,800 --> 00:38:10,319
Speaker 1: But ultimately what he says five percent of it must

689
00:38:10,360 --> 00:38:15,480
Speaker 1: translate into official policy agenda, right, right, That's that's it.

690
00:38:15,640 --> 00:38:18,399
Speaker 1: Just like throwaway comments. You know. Yeah, but I guess

691
00:38:18,400 --> 00:38:21,400
Speaker 1: he doesn't realize what effects that can have simply tweeting,

692
00:38:21,520 --> 00:38:24,160
Speaker 1: like threatening a tariff, like oh I sent, I sent

693
00:38:24,200 --> 00:38:27,000
Speaker 1: the stock market plummeting. I don't know if he doesn't

694
00:38:27,239 --> 00:38:29,719
Speaker 1: doesn't realize it. I think he probably gets a bit

695
00:38:29,760 --> 00:38:32,719
Speaker 1: of a kick out of it, to tell you the truth, right, Well,

696
00:38:32,719 --> 00:38:36,879
Speaker 1: I mean, you know, absolutely, I think he'd hold onto it. Well, yeah,

697
00:38:36,880 --> 00:38:39,480
Speaker 1: there's this New York Times profile of him like that

698
00:38:40,000 --> 00:38:42,520
Speaker 1: kind of did a survey of his first year and

699
00:38:42,600 --> 00:38:45,759
Speaker 1: said that he gets antsie anytime he doesn't see his

700
00:38:45,880 --> 00:38:50,080
Speaker 1: name in the headlines for like a he yeah, he

701
00:38:50,160 --> 00:38:52,400
Speaker 1: needs this because Hope Picks and Jared and Ivanko were

702
00:38:52,400 --> 00:38:54,719
Speaker 1: getting all the shine last week. Yeah, I've spent a

703
00:38:54,719 --> 00:38:57,440
Speaker 1: lot of time thinking about sort of that progress thing

704
00:38:57,440 --> 00:38:59,680
Speaker 1: I was talking about versus Trump is um because I

705
00:38:59,680 --> 00:39:02,200
Speaker 1: wanted to see how this Pinker book was going to

706
00:39:02,320 --> 00:39:04,000
Speaker 1: deal with Trump is um, and I don't think he

707
00:39:04,040 --> 00:39:09,560
Speaker 1: does it sufficiently. But Jia Tolentino, who's a New Yorker writer,

708
00:39:10,600 --> 00:39:12,719
Speaker 1: really good New York writer. People should google her and

709
00:39:12,760 --> 00:39:16,680
Speaker 1: read everything she's written. But she actually summed it up

710
00:39:16,719 --> 00:39:20,160
Speaker 1: really well and kind of dovetails with what you were saying.

711
00:39:20,160 --> 00:39:22,319
Speaker 1: When I was about the legos, she said, what hurts

712
00:39:22,360 --> 00:39:24,600
Speaker 1: so badly right now, I think is this sense of

713
00:39:24,680 --> 00:39:28,799
Speaker 1: unexpected retrenchment, the fear that decades of incremental progress will

714
00:39:28,840 --> 00:39:32,080
Speaker 1: be rapidly eradicated by an empty headed demagogue who appears

715
00:39:32,080 --> 00:39:34,759
Speaker 1: to be doing everything on a whim um And that

716
00:39:34,920 --> 00:39:39,160
Speaker 1: I think sums up how I feel about you know,

717
00:39:39,200 --> 00:39:42,959
Speaker 1: the idea of progress as it relates to where we're

718
00:39:43,000 --> 00:39:46,919
Speaker 1: at with uh, this guy at the at the moment. Well, look,

719
00:39:47,200 --> 00:39:50,480
Speaker 1: the history also teach you a lesson here to trade

720
00:39:50,480 --> 00:39:53,600
Speaker 1: wars don't really end well for anybody, right, Like, we

721
00:39:53,719 --> 00:39:57,000
Speaker 1: tried that with Canada after the Civil War. We like

722
00:39:57,120 --> 00:40:00,239
Speaker 1: ended a reciprocal trade agreement agreement with Canada and to

723
00:40:00,280 --> 00:40:04,080
Speaker 1: avoid tariffs, like sixty five American manufacturers just move their

724
00:40:04,080 --> 00:40:07,600
Speaker 1: operations to Canada to avoid the tariffs, and like or

725
00:40:07,600 --> 00:40:11,080
Speaker 1: even like the Smooth Holly Act in like Oh basically

726
00:40:11,400 --> 00:40:14,160
Speaker 1: was putting tariffs on pretty much anything that was imported,

727
00:40:14,440 --> 00:40:17,680
Speaker 1: and that was disastrous and it a lot of people

728
00:40:17,719 --> 00:40:19,959
Speaker 1: say that they agree that that probably made the Great

729
00:40:19,960 --> 00:40:23,239
Speaker 1: Depression a lot worse than it could have been. But

730
00:40:23,400 --> 00:40:27,439
Speaker 1: you know, history really isn't important, so forget it. Never mind.

731
00:40:27,480 --> 00:40:29,960
Speaker 1: I'm just gonna go to them who has anything to

732
00:40:30,000 --> 00:40:33,960
Speaker 1: learn from history, suckers. I was gonna say that that

733
00:40:34,080 --> 00:40:37,080
Speaker 1: Lego analogy though so perfect, Miles. The thing is is,

734
00:40:37,800 --> 00:40:40,840
Speaker 1: sometimes you want to go smash the legos, but normally

735
00:40:41,080 --> 00:40:44,000
Speaker 1: there's an adult there that points out that's not really

736
00:40:44,040 --> 00:40:46,680
Speaker 1: a good idea. Here's a better way. It feels like

737
00:40:46,760 --> 00:40:51,200
Speaker 1: we're missing the adults. Yeah, there's nobody saying wait, wait, wait,

738
00:40:51,280 --> 00:40:53,960
Speaker 1: let's not do this, or that there's not enough people,

739
00:40:54,080 --> 00:40:56,200
Speaker 1: or the people who are saying this are not actually

740
00:40:56,239 --> 00:41:00,279
Speaker 1: empower um. But there's no adults to to key us

741
00:41:00,320 --> 00:41:02,680
Speaker 1: from smashing the legos or to keep that urge, because

742
00:41:02,680 --> 00:41:06,560
Speaker 1: it is a pretty understandable urge, that that nihilism when

743
00:41:06,640 --> 00:41:09,480
Speaker 1: when things are just this messed up and this polarized,

744
00:41:09,520 --> 00:41:11,960
Speaker 1: and there's doesn't seem to be any hope whatsoever for

745
00:41:12,040 --> 00:41:14,719
Speaker 1: any kind of resolution to it. Of course you want

746
00:41:14,719 --> 00:41:19,200
Speaker 1: to smash the legos, but to have somebody wiser or

747
00:41:19,280 --> 00:41:21,719
Speaker 1: even with just a different perspective to say, I know

748
00:41:21,800 --> 00:41:23,799
Speaker 1: you want to smash the legos, but don't do it

749
00:41:23,840 --> 00:41:26,480
Speaker 1: because you're going to hate yourself later. Here let's just

750
00:41:26,520 --> 00:41:29,680
Speaker 1: try this instead. This is a better solution that that

751
00:41:29,880 --> 00:41:32,680
Speaker 1: voice is is very much missing right now from from

752
00:41:32,680 --> 00:41:35,399
Speaker 1: our world, from America. At least it feels like yeah,

753
00:41:36,239 --> 00:41:38,840
Speaker 1: um yeah. And I think with Cone also threatening to

754
00:41:38,920 --> 00:41:41,880
Speaker 1: leave over this whole terror thing, that would be the

755
00:41:41,960 --> 00:41:45,160
Speaker 1: last of the adults, or at least the seemingly adult

756
00:41:45,160 --> 00:41:48,400
Speaker 1: people in that ad is Kelly not an adult. I

757
00:41:48,400 --> 00:41:54,040
Speaker 1: don't know he's willing to compromise his dignity and beliefs. Yeah,

758
00:41:54,120 --> 00:41:56,200
Speaker 1: he really seems like, man, I don't know when you're

759
00:41:56,600 --> 00:41:59,399
Speaker 1: speculating that God is punishing you, I don't know. He's

760
00:41:59,440 --> 00:42:01,160
Speaker 1: like this a deep cup. But like, do you remember

761
00:42:01,239 --> 00:42:03,799
Speaker 1: Janine Garoffalo's character in The Cable Guy when she worked

762
00:42:03,800 --> 00:42:07,439
Speaker 1: at Medieval Times? Uh? Well, anyway, there's a point where

763
00:42:07,440 --> 00:42:09,520
Speaker 1: she's like DS for silver ware. She's like, there was

764
00:42:09,680 --> 00:42:13,360
Speaker 1: there was no silverware in medieval times. Hence there's no

765
00:42:13,440 --> 00:42:16,640
Speaker 1: silverware at medieval times, and Matthew products like there's no silverware,

766
00:42:16,640 --> 00:42:18,359
Speaker 1: but they had pepsi and she just looks at him goes,

767
00:42:18,640 --> 00:42:21,279
Speaker 1: look I got a lot of tables, man, And that's

768
00:42:21,360 --> 00:42:23,239
Speaker 1: kind of John Kelly is at now. It's like, look,

769
00:42:23,280 --> 00:42:26,879
Speaker 1: I got a lot of tables, man, like just and all,

770
00:42:26,920 --> 00:42:29,080
Speaker 1: just one last thing that also, he's a horrible race.

771
00:42:30,040 --> 00:42:32,480
Speaker 1: They're even in the UK right there, trying to tell

772
00:42:32,560 --> 00:42:35,240
Speaker 1: Trump this is a bad idea, Like the UK Cabinet

773
00:42:35,239 --> 00:42:39,239
Speaker 1: Office minister, who is it, David Liddington. He was even like, yeah,

774
00:42:39,320 --> 00:42:41,239
Speaker 1: you know, we tried that protection and stuff with our

775
00:42:41,280 --> 00:42:44,440
Speaker 1: car manufacturers in the sixties and seventies and that actually

776
00:42:44,520 --> 00:42:48,319
Speaker 1: didn't work. It protected inefficiencies and we lost all our

777
00:42:48,360 --> 00:42:51,000
Speaker 1: export markets because our competitors, who were more competitive, went

778
00:42:51,000 --> 00:42:53,000
Speaker 1: out and gobbled those up from us. So everyone's trying

779
00:42:53,040 --> 00:42:54,759
Speaker 1: to tell him like, no, no, no, this this isn't

780
00:42:54,760 --> 00:42:56,480
Speaker 1: the way to do it. But I guess we'll just

781
00:42:56,520 --> 00:43:01,480
Speaker 1: smashed the legos. It was not Liddington, Mr Trump, Uh,

782
00:43:01,520 --> 00:43:03,920
Speaker 1: that's an awesome last name. And we're going to take

783
00:43:03,920 --> 00:43:05,880
Speaker 1: a quick break and when we come back, we're going

784
00:43:05,920 --> 00:43:17,880
Speaker 1: to talk about some Academy Awards. Guess. And we're back

785
00:43:18,400 --> 00:43:22,759
Speaker 1: and we are all still riding the high of last

786
00:43:22,880 --> 00:43:26,520
Speaker 1: night's Academy Awards. I think I can speak for everyone.

787
00:43:27,080 --> 00:43:30,680
Speaker 1: Uh now it's kind of a blah Academy Awards. There

788
00:43:30,719 --> 00:43:35,759
Speaker 1: were no huge stakes made, which I guess was what

789
00:43:35,840 --> 00:43:39,880
Speaker 1: made the previous years so watchable. Um, you would have

790
00:43:39,880 --> 00:43:44,319
Speaker 1: thought that people because last year's was so you know, zeitgeist,

791
00:43:44,520 --> 00:43:48,200
Speaker 1: defining that more people would have watched this year because

792
00:43:48,200 --> 00:43:51,759
Speaker 1: they didn't want to miss anything. But ratings are apparently

793
00:43:51,800 --> 00:43:56,279
Speaker 1: way down and potentially the worst ever, potentially because they

794
00:43:56,320 --> 00:43:59,160
Speaker 1: had the same host of last year, and people like

795
00:43:59,200 --> 00:44:02,480
Speaker 1: apparently that has some effect, even the same bits like hey,

796
00:44:02,560 --> 00:44:08,960
Speaker 1: let's go surprise unsuspecting, let's show how connected we are

797
00:44:09,080 --> 00:44:12,760
Speaker 1: to the normal people by firing a hot dog cannon

798
00:44:12,800 --> 00:44:18,080
Speaker 1: at their faces. Was like, oh, it smells like when

799
00:44:18,160 --> 00:44:19,880
Speaker 1: Kimmel's like, smells like a lot of weed in here,

800
00:44:19,920 --> 00:44:21,719
Speaker 1: and she was like, yeah, I know. I thought she

801
00:44:21,840 --> 00:44:23,400
Speaker 1: was gonna be like and I'm the police, so you

802
00:44:23,520 --> 00:44:27,080
Speaker 1: better be honest. Well, we are thrilled to be joined

803
00:44:28,120 --> 00:44:33,640
Speaker 1: also by superproducer Anna Hosnier, who was keeping Anne on

804
00:44:33,680 --> 00:44:37,080
Speaker 1: Twitter during Thank You So Much. I was live tweeting, oh,

805
00:44:37,120 --> 00:44:40,279
Speaker 1: you were dropped this whole thing, and uh, do you

806
00:44:40,320 --> 00:44:44,080
Speaker 1: have any Liddington live tweets that you want to share?

807
00:44:44,200 --> 00:44:47,200
Speaker 1: What was the most Liddington Well, there were a few. Um,

808
00:44:47,320 --> 00:44:50,960
Speaker 1: Josh frew Linger at JAFRA when Phantom Thread won an

809
00:44:50,960 --> 00:44:54,640
Speaker 1: Oscar for costume design, which come on a little a

810
00:44:54,680 --> 00:44:59,040
Speaker 1: bit much? Uh, someone tweet beautifully designed costumes. Yeah, but

811
00:44:59,080 --> 00:45:04,600
Speaker 1: come on, come, okay okay. At Jfra tweeted, wait, Daniel

812
00:45:04,680 --> 00:45:07,480
Speaker 1: day Lewis didn't design the dresses for that movie? What

813
00:45:07,600 --> 00:45:11,040
Speaker 1: the funk kind of method actor is he? That really

814
00:45:11,040 --> 00:45:13,239
Speaker 1: got me because I said he did actually make one

815
00:45:13,239 --> 00:45:16,200
Speaker 1: of the dresses in there, and that was interesting enough

816
00:45:16,239 --> 00:45:19,120
Speaker 1: because Sam Neil, you know, our favorite Sam Neil actor,

817
00:45:19,160 --> 00:45:22,640
Speaker 1: extraordinair of Jurassic Park fame and everything else he's done,

818
00:45:23,000 --> 00:45:27,040
Speaker 1: he tweeted. A week ago, at Daniel day Lewis posted

819
00:45:27,040 --> 00:45:29,239
Speaker 1: a photo of himself wearing a three piece suit and

820
00:45:29,280 --> 00:45:33,720
Speaker 1: described how he basically, uh like made that entire suit,

821
00:45:33,800 --> 00:45:36,560
Speaker 1: and then tweeted, eat your heart out, Daniel day Lewis,

822
00:45:36,680 --> 00:45:39,560
Speaker 1: which was just like, why are you clapping it? It

823
00:45:39,680 --> 00:45:42,000
Speaker 1: was just very fun. They've always been one and two

824
00:45:42,040 --> 00:45:48,000
Speaker 1: in my mind of the great method actors of their generation. Um,

825
00:45:48,000 --> 00:45:51,120
Speaker 1: here's another one. At Ali War tweeted, I bet Meryl's

826
00:45:51,200 --> 00:45:59,840
Speaker 1: calendar for tonight, just said work thing. Um. Mike Drucker,

827
00:46:00,120 --> 00:46:04,520
Speaker 1: who uh comedy writer, tweeted excited to judge celebrities for

828
00:46:04,600 --> 00:46:07,520
Speaker 1: every nervous mistake on stage while eating soup with my

829
00:46:07,600 --> 00:46:10,719
Speaker 1: hands alone in a darkened room, which I thought was

830
00:46:10,719 --> 00:46:12,520
Speaker 1: pretty spot on. How we all just sit around a

831
00:46:12,560 --> 00:46:18,200
Speaker 1: live tweet every little thing. We're just sitting alone, Like, um,

832
00:46:18,200 --> 00:46:21,320
Speaker 1: I got a utensil? Is soup eating? Is really the

833
00:46:21,320 --> 00:46:26,080
Speaker 1: peak sadness for somebody? Miles? You uh summarize the awards well,

834
00:46:26,160 --> 00:46:28,520
Speaker 1: I thought this morning when you were saying that it's

835
00:46:28,800 --> 00:46:33,359
Speaker 1: not really an entertainment as much as it's an opportunity

836
00:46:33,400 --> 00:46:37,200
Speaker 1: to see how Hollywood would like to view itself. Yeah.

837
00:46:37,719 --> 00:46:40,240
Speaker 1: I don't even tune in for the show itself anymore

838
00:46:40,239 --> 00:46:42,600
Speaker 1: because I don't care. The only thing I care about

839
00:46:42,640 --> 00:46:45,000
Speaker 1: is like, what's where is Hollywood at right now? Like

840
00:46:45,040 --> 00:46:47,640
Speaker 1: who are they giving awards to? How how much more

841
00:46:47,960 --> 00:46:51,359
Speaker 1: socially conscious have they become? Not very much, it seems like,

842
00:46:51,440 --> 00:46:53,439
Speaker 1: because I'm only there to be like, look, I don't

843
00:46:53,480 --> 00:46:55,319
Speaker 1: care about this ship in between. I just want to know,

844
00:46:55,400 --> 00:46:57,799
Speaker 1: like are they Clearly there were some good moments in there,

845
00:46:57,800 --> 00:46:59,640
Speaker 1: like some of the performances are great, but really the

846
00:47:00,000 --> 00:47:01,960
Speaker 1: stuff to me that I really hang on to, like

847
00:47:02,040 --> 00:47:05,719
Speaker 1: who are the awards actually given to? Because nominating is

848
00:47:05,760 --> 00:47:07,680
Speaker 1: one thing, but when you know that the Academy itself

849
00:47:07,680 --> 00:47:10,600
Speaker 1: is then voting like that. So when Jordan Peele won

850
00:47:10,680 --> 00:47:12,759
Speaker 1: for Best Screenplay, was like, okay, cool, cool that this,

851
00:47:12,760 --> 00:47:15,759
Speaker 1: this might this this something might be happening. But uh,

852
00:47:15,800 --> 00:47:18,440
Speaker 1: I think what this was the for a celebration of

853
00:47:18,440 --> 00:47:22,000
Speaker 1: of women in film, there wasn't much awarding to them,

854
00:47:22,120 --> 00:47:27,080
Speaker 1: right right, Yeah, they the award show was very pro women,

855
00:47:27,200 --> 00:47:30,879
Speaker 1: and they had you know, accusers of Harvey Weinstein come

856
00:47:30,880 --> 00:47:33,680
Speaker 1: out and speak out, and that was great. Um, But

857
00:47:33,920 --> 00:47:37,040
Speaker 1: in terms of the awards, it was the fewest awards

858
00:47:37,080 --> 00:47:42,439
Speaker 1: given to women since two thousand twelve. So on that note,

859
00:47:42,719 --> 00:47:47,040
Speaker 1: one uh teen, Vogue writer Gay Burgado tweeted a photo

860
00:47:47,239 --> 00:47:50,240
Speaker 1: of Billy Eichner running on the street on his Billy

861
00:47:50,280 --> 00:47:53,080
Speaker 1: on the street and the photo says, for one dollar,

862
00:47:53,440 --> 00:47:59,320
Speaker 1: name a woman. Um. And then some of the winners

863
00:47:59,320 --> 00:48:02,080
Speaker 1: a little problem too, you know, like Gary Oldman got

864
00:48:02,120 --> 00:48:04,600
Speaker 1: his oscar, but that's a man who is dealing with

865
00:48:04,640 --> 00:48:08,920
Speaker 1: his own allegations of abuse and what was also one

866
00:48:09,000 --> 00:48:11,680
Speaker 1: of the most boring except I think I've ever heard.

867
00:48:11,880 --> 00:48:14,880
Speaker 1: And also, you know, Kobe Bryant won an Academy Award,

868
00:48:15,040 --> 00:48:17,719
Speaker 1: and I guess people just forgot about the ship that

869
00:48:17,760 --> 00:48:21,560
Speaker 1: went down in Colorado of fifteen years ago where this

870
00:48:21,600 --> 00:48:24,200
Speaker 1: woman accused him of raping her and there was a

871
00:48:24,200 --> 00:48:29,160
Speaker 1: lot of evidence that was very troubling, but they settled

872
00:48:29,160 --> 00:48:31,920
Speaker 1: out of court and clearly like we have moved on

873
00:48:32,000 --> 00:48:34,480
Speaker 1: from that. I have a tweet about Kobe as well.

874
00:48:34,800 --> 00:48:37,800
Speaker 1: Roger Sherman tweeted, move over, E got Kobe Bryant is

875
00:48:37,840 --> 00:48:40,520
Speaker 1: the first person to ever pull off at l M

876
00:48:40,760 --> 00:48:43,400
Speaker 1: F a O, which is the Larry O'Brien Trophy, m

877
00:48:43,480 --> 00:48:47,400
Speaker 1: VP Finals, MVP All Star Game, m v P, and oscar. Yeah,

878
00:48:47,640 --> 00:48:50,320
Speaker 1: not too bad? What did he win an oscar for

879
00:48:50,560 --> 00:48:54,359
Speaker 1: his short film Dear Basketball? So do you remember when

880
00:48:54,360 --> 00:48:58,160
Speaker 1: he announced he was retiring and he wrote a poem

881
00:48:58,280 --> 00:49:02,520
Speaker 1: about that that was it was like, uh, I'd say

882
00:49:02,520 --> 00:49:06,640
Speaker 1: an A minus you know, high school creative writing assignment

883
00:49:07,040 --> 00:49:11,719
Speaker 1: level poem where he addressed the game he loves and

884
00:49:11,719 --> 00:49:14,319
Speaker 1: talked about like how he loves it and how you know,

885
00:49:14,800 --> 00:49:18,320
Speaker 1: challenging it was to leave it behind. Uh, and somebody

886
00:49:18,760 --> 00:49:21,400
Speaker 1: you know had made the smart business decision to adapt

887
00:49:21,480 --> 00:49:26,280
Speaker 1: that into a into a short film, an animated short film,

888
00:49:26,400 --> 00:49:30,000
Speaker 1: and it had a big budget and uh, it ended

889
00:49:30,080 --> 00:49:34,600
Speaker 1: up winning for Best Animated Short Uh. And yeah, so

890
00:49:34,600 --> 00:49:37,239
Speaker 1: so Kobe got up and accepted an oscar last night.

891
00:49:37,800 --> 00:49:39,920
Speaker 1: Uh and the oscar was given to him by b

892
00:49:40,040 --> 00:49:46,480
Speaker 1: B eight Right, that whole thing was real awkward. Yeah,

893
00:49:46,680 --> 00:49:49,200
Speaker 1: I don't know. And then I mean the the big

894
00:49:49,239 --> 00:49:54,239
Speaker 1: winner was the Shape of Water And oh best part

895
00:49:54,440 --> 00:49:58,759
Speaker 1: was Garmo checked the car to make sure it's had

896
00:49:58,800 --> 00:50:01,800
Speaker 1: Shape of Water on it before actually grabbed the oscar

897
00:50:01,800 --> 00:50:05,120
Speaker 1: because yeah, you gotta after last year, you can't trust

898
00:50:05,120 --> 00:50:07,040
Speaker 1: more in Beatty anymore. And I don't know if Trump

899
00:50:07,160 --> 00:50:10,319
Speaker 1: was had because Mexican directors are dominating the oscars, like

900
00:50:10,680 --> 00:50:12,640
Speaker 1: between him and in your too, like they're winning like

901
00:50:12,680 --> 00:50:15,560
Speaker 1: every other fucking year. Yeah, so shout out to Mexico,

902
00:50:16,440 --> 00:50:19,239
Speaker 1: send and sending us at their best. I liked to

903
00:50:19,239 --> 00:50:22,919
Speaker 1: warn Beatty's whole like over wink wink, nod nod thing,

904
00:50:23,000 --> 00:50:25,440
Speaker 1: you know that when he came out to uh to

905
00:50:25,600 --> 00:50:29,200
Speaker 1: present it wasn't for Best Picture again. Yeah yeah, yeah,

906
00:50:29,239 --> 00:50:32,799
Speaker 1: it was a little much. Yeah, yeah, get it because

907
00:50:32,800 --> 00:50:34,560
Speaker 1: we funked it up last year, do you guys get it?

908
00:50:35,840 --> 00:50:39,359
Speaker 1: Do over? But I mean, I think what we're talking

909
00:50:39,400 --> 00:50:42,239
Speaker 1: about with the Awards show being all about women but

910
00:50:42,280 --> 00:50:46,000
Speaker 1: then only six women being awarded was perfectly addressed by

911
00:50:46,040 --> 00:50:50,960
Speaker 1: Frances mcdorman's speech when she accepted the Academy Award for

912
00:50:51,360 --> 00:50:55,320
Speaker 1: Best Actress and got up and basically said, every woman

913
00:50:55,400 --> 00:50:59,359
Speaker 1: who is nominated stand up. They did, and uh, you know,

914
00:50:59,400 --> 00:51:02,200
Speaker 1: she was like, Okay, now look around at these women.

915
00:51:02,440 --> 00:51:05,920
Speaker 1: Now we want you to actually give us jobs and

916
00:51:06,000 --> 00:51:09,360
Speaker 1: help us. We we all have ideas for stories, but like,

917
00:51:09,480 --> 00:51:11,640
Speaker 1: don't come up to us and congratulate us at the

918
00:51:11,680 --> 00:51:14,240
Speaker 1: party tonight and be like, oh, yeah, we're big fans.

919
00:51:14,600 --> 00:51:17,120
Speaker 1: We'd love to work something in. Yeah, pencil something in,

920
00:51:17,400 --> 00:51:21,759
Speaker 1: like have us in meetings at your office, like actually,

921
00:51:22,320 --> 00:51:25,000
Speaker 1: you know, follow through, put the money on the table,

922
00:51:25,600 --> 00:51:28,160
Speaker 1: which is yeah. I think what we were saying and

923
00:51:28,200 --> 00:51:30,040
Speaker 1: the call to the industry at large of putting in

924
00:51:30,040 --> 00:51:34,880
Speaker 1: inclusion writers in which would basically contractually obligate a production

925
00:51:35,000 --> 00:51:39,120
Speaker 1: to hire minorities or women, uh, in whatever way possible.

926
00:51:39,120 --> 00:51:40,719
Speaker 1: And I don't know what the specifics would be, but

927
00:51:40,840 --> 00:51:43,520
Speaker 1: essentially saying that like stars wouldn't agree to do a

928
00:51:43,560 --> 00:51:46,680
Speaker 1: film unless the production itself is dedicated to inclusion. It

929
00:51:46,760 --> 00:51:49,359
Speaker 1: was very inside baseball. My mom turned to me and goes,

930
00:51:49,600 --> 00:51:53,319
Speaker 1: what's an inclusion writer. I was just like, I don't know,

931
00:51:53,520 --> 00:51:55,800
Speaker 1: even in a room full of like l a Hollywood

932
00:51:55,840 --> 00:51:58,879
Speaker 1: people yesterday for people took a sing like what inclusion writer?

933
00:51:59,120 --> 00:52:02,000
Speaker 1: And then they're like, oh a writer contact is that

934
00:52:02,160 --> 00:52:12,600
Speaker 1: her badass biker gang? Um? And and is there is

935
00:52:12,640 --> 00:52:14,919
Speaker 1: there another story about the Shape of Water that you'd

936
00:52:14,920 --> 00:52:17,400
Speaker 1: like to you really want to talk about that you're

937
00:52:17,440 --> 00:52:23,160
Speaker 1: desperate to talk about? So um, this uh company that

938
00:52:23,200 --> 00:52:28,120
Speaker 1: makes dildos decided because we all love that sexy sixy

939
00:52:28,320 --> 00:52:37,440
Speaker 1: creature from Shape of Water. I mean what seawater? The

940
00:52:38,480 --> 00:52:42,120
Speaker 1: from the Sex in the City. Okay, here's my Samantha

941
00:52:42,200 --> 00:52:45,719
Speaker 1: from Sex in the City. He's got the funkiest tasting

942
00:52:45,960 --> 00:52:54,759
Speaker 1: fun So we met just read the Okay, uh, so

943
00:52:54,840 --> 00:52:57,439
Speaker 1: wait they're making dildoways. So a dildo company? What now?

944
00:52:58,160 --> 00:53:02,160
Speaker 1: So this dildo companies, you know, cat artifacts they sell

945
00:53:02,320 --> 00:53:06,560
Speaker 1: and make like exotic, interesting dildos. They designed a dildo

946
00:53:07,120 --> 00:53:11,480
Speaker 1: for the sea creature from Shape of Water and it

947
00:53:11,960 --> 00:53:14,239
Speaker 1: look I'm not gonna lie, it is spot on, not

948
00:53:14,280 --> 00:53:18,879
Speaker 1: that I know, I mean what I mean, just how

949
00:53:18,880 --> 00:53:22,439
Speaker 1: it looks. We'll post the phone expect that it would look. Yeah,

950
00:53:22,480 --> 00:53:24,360
Speaker 1: I was I was amazed. I was like, yeah, no,

951
00:53:24,400 --> 00:53:27,480
Speaker 1: I could totally see that. Um it's so cold like

952
00:53:27,800 --> 00:53:31,800
Speaker 1: his body. Yes, and it's got well you'll have to

953
00:53:31,800 --> 00:53:35,680
Speaker 1: go look. I won't describe it to detail, but you know, um,

954
00:53:35,719 --> 00:53:38,840
Speaker 1: it's sold out immediately. Um, And so they had to

955
00:53:38,840 --> 00:53:40,279
Speaker 1: come out with a whole new ship. Man. I believe

956
00:53:40,280 --> 00:53:42,319
Speaker 1: it came out in January fifteen, sold out in like

957
00:53:42,360 --> 00:53:45,160
Speaker 1: a few hours. They dropped another one on March three.

958
00:53:45,200 --> 00:53:47,440
Speaker 1: I believe it's already sold out because maybe I went

959
00:53:47,520 --> 00:53:49,040
Speaker 1: online to get it. I mean, it's not ane of

960
00:53:49,040 --> 00:53:52,720
Speaker 1: your business, but how is this not a cottage industry

961
00:53:52,719 --> 00:53:56,400
Speaker 1: already where they just make dildos four different movie characters,

962
00:53:57,239 --> 00:53:59,719
Speaker 1: like even if they're human characters. If it was like,

963
00:54:00,080 --> 00:54:04,640
Speaker 1: you know, this is Tom Harvey from Dunkirk's Jump, like

964
00:54:05,120 --> 00:54:11,640
Speaker 1: this here's the Daniel plain View from There will be Blood.

965
00:54:13,400 --> 00:54:16,279
Speaker 1: I think I think those will do well. But what

966
00:54:16,360 --> 00:54:18,600
Speaker 1: was the development process? Like? So they're just like, well,

967
00:54:18,600 --> 00:54:20,719
Speaker 1: this is what we think a sea creatures Penis would

968
00:54:20,760 --> 00:54:24,879
Speaker 1: look like. And this company is known for designing um,

969
00:54:25,040 --> 00:54:29,160
Speaker 1: like custom silicone dildos that are like they have some

970
00:54:29,320 --> 00:54:35,520
Speaker 1: like whale dildos and yeah they have, but my bed,

971
00:54:35,719 --> 00:54:38,560
Speaker 1: they're all very well done. So I think they had

972
00:54:38,560 --> 00:54:42,200
Speaker 1: a designer come in and you know, just really look

973
00:54:42,239 --> 00:54:44,520
Speaker 1: at photos of him and I think, just sculpt what

974
00:54:44,560 --> 00:54:46,680
Speaker 1: they really thought it would look like. And it's, like

975
00:54:46,719 --> 00:54:48,719
Speaker 1: I said, it's spot on. It looks like it could have.

976
00:54:49,040 --> 00:54:51,880
Speaker 1: You know how if you've seen the movie and the

977
00:54:52,000 --> 00:54:55,759
Speaker 1: hand motions of all they described it coming out, Yeah,

978
00:54:55,840 --> 00:54:59,280
Speaker 1: it like opens up and pops out. I mean, based

979
00:54:59,280 --> 00:55:01,359
Speaker 1: on this week and say that he is not a

980
00:55:01,440 --> 00:55:05,759
Speaker 1: fish man because fish are broadcast in seminators, right, they

981
00:55:05,880 --> 00:55:10,879
Speaker 1: just shoot it out there and it lands on eggs, right.

982
00:55:11,120 --> 00:55:15,520
Speaker 1: Uh so what sticks to the wall, right exactly? Um,

983
00:55:15,800 --> 00:55:19,320
Speaker 1: so that this proves that the fish man is actually

984
00:55:19,360 --> 00:55:23,799
Speaker 1: more of a like whale dolphin human clearly. Uh So

985
00:55:23,800 --> 00:55:25,520
Speaker 1: we got to the bottom of that case. So yeah,

986
00:55:25,560 --> 00:55:28,040
Speaker 1: the actor Doug Jones, who plays the fish not very

987
00:55:28,080 --> 00:55:30,600
Speaker 1: many people know that he was I don't know. He

988
00:55:30,640 --> 00:55:33,960
Speaker 1: said he wasn't exactly thrilled because he said, after pouring

989
00:55:33,960 --> 00:55:36,720
Speaker 1: my heart, soul, blood, sweat and tears into this romantic, beautiful,

990
00:55:36,719 --> 00:55:39,080
Speaker 1: magical role, the last thing I want to be remembered

991
00:55:39,120 --> 00:55:41,760
Speaker 1: for is a silicon appendage that comes in two sizes,

992
00:55:41,840 --> 00:55:44,399
Speaker 1: which is like understandable but yeah, but don't also take

993
00:55:44,400 --> 00:55:47,759
Speaker 1: yourself to seriously, my frend, you didn't have any speaking lines. Yeah.

994
00:55:48,200 --> 00:55:51,040
Speaker 1: I think I think he was just you know, being

995
00:55:51,440 --> 00:55:54,760
Speaker 1: I think he was kind of caught off caught off guard.

996
00:55:54,920 --> 00:55:58,320
Speaker 1: He's actually a great uh. I think he's played monsters

997
00:55:58,360 --> 00:56:01,000
Speaker 1: before and he's pretty good. And it's an honor right

998
00:56:01,080 --> 00:56:04,520
Speaker 1: that someone went that far to speculate what the character's

999
00:56:04,560 --> 00:56:08,880
Speaker 1: penis would look like it was selling out and every

1000
00:56:08,880 --> 00:56:13,680
Speaker 1: time they would take people's like constructive criticism and perfect it. Yeah,

1001
00:56:13,719 --> 00:56:16,520
Speaker 1: that's you were saying that there's like a feedback process

1002
00:56:16,600 --> 00:56:18,880
Speaker 1: with this, dil don't make Also V two was different

1003
00:56:18,880 --> 00:56:21,880
Speaker 1: than the launch version. Yeah, they like perfected like guess

1004
00:56:21,920 --> 00:56:26,600
Speaker 1: the like circumferences of the girl that we're really getting

1005
00:56:26,640 --> 00:56:29,719
Speaker 1: deep into this, But Gilma del Toro came out and

1006
00:56:29,760 --> 00:56:35,640
Speaker 1: said that it wasn't accurate, So like, I don't know

1007
00:56:35,680 --> 00:56:41,239
Speaker 1: what when then come out with yours in Guiarmo, like

1008
00:56:41,280 --> 00:56:44,239
Speaker 1: don't look around, like let the people know. If we're

1009
00:56:44,239 --> 00:56:48,240
Speaker 1: sucking up the origin story of the member of this character,

1010
00:56:48,560 --> 00:56:50,239
Speaker 1: then let us know, or else we're going to have

1011
00:56:50,239 --> 00:56:53,600
Speaker 1: to wildly speculated. Well, Anna, thank you so much for that,

1012
00:56:55,239 --> 00:56:58,120
Speaker 1: Josh It has been a pleasure having you. Where can

1013
00:56:58,160 --> 00:57:04,560
Speaker 1: people find you? At my house? Okay? Cool, Well I

1014
00:57:04,560 --> 00:57:08,200
Speaker 1: won't squander this opportunity. They can find me on Stuff

1015
00:57:08,200 --> 00:57:10,840
Speaker 1: you Should Know on iTunes at stuff you should Know

1016
00:57:10,920 --> 00:57:14,080
Speaker 1: dot com. Every Tuesday and Thursday we released a new

1017
00:57:14,120 --> 00:57:16,080
Speaker 1: episode and thank you for sending me up for that.

1018
00:57:16,200 --> 00:57:19,640
Speaker 1: And also I didn't get to say this at the beginning, Um,

1019
00:57:19,640 --> 00:57:21,840
Speaker 1: but thank you very much for having me on today

1020
00:57:21,880 --> 00:57:26,320
Speaker 1: and let's do this tomorrow. Yeah, hell yeah, it's a thrill.

1021
00:57:26,880 --> 00:57:29,640
Speaker 1: Like I said to you before, off Mike, Uh, you

1022
00:57:29,680 --> 00:57:33,000
Speaker 1: guys were the first podcast I ever listened to, and

1023
00:57:33,240 --> 00:57:34,960
Speaker 1: I've been a big fan for a long time, so

1024
00:57:35,240 --> 00:57:38,200
Speaker 1: this has been a thrill for me as well. Well

1025
00:57:38,240 --> 00:57:40,840
Speaker 1: I'm blown away by you guys as well. Like, um, like,

1026
00:57:40,880 --> 00:57:43,280
Speaker 1: I thought you were seriously like crazy to try this,

1027
00:57:43,560 --> 00:57:46,720
Speaker 1: you know, a daily basis, and now that I've done it,

1028
00:57:47,120 --> 00:57:53,000
Speaker 1: you are absolutely crazy. So I'm deeply impressed with you guys. Thanks.

1029
00:57:53,160 --> 00:57:55,880
Speaker 1: Did you hear that listeners Josh showed us in love,

1030
00:57:56,560 --> 00:58:00,800
Speaker 1: show us the proper respect, some respect on name Miles,

1031
00:58:00,800 --> 00:58:02,280
Speaker 1: Where can people find you? If you can find me

1032
00:58:02,320 --> 00:58:04,720
Speaker 1: on Twitter and Instagram at Miles of Great you can

1033
00:58:04,720 --> 00:58:07,240
Speaker 1: find me at Jack Underscore O'Brien on Twitter. You can

1034
00:58:07,240 --> 00:58:09,680
Speaker 1: find us at daily Zygeist on Twitter. We're at the

1035
00:58:09,800 --> 00:58:12,360
Speaker 1: Daily Zeitgeist on Instagram. We have a Facebook fan page.

1036
00:58:12,800 --> 00:58:15,200
Speaker 1: We also have a website, daily zegeist dot com where

1037
00:58:15,240 --> 00:58:18,240
Speaker 1: we post our episodes and our foot notes where we

1038
00:58:18,400 --> 00:58:21,400
Speaker 1: link off to the sources for the information that you

1039
00:58:21,440 --> 00:58:24,560
Speaker 1: heard in today's episode. Uh, that is going to do

1040
00:58:24,640 --> 00:58:27,840
Speaker 1: it for this Monday episode of The Daily Zeitgeist. We

1041
00:58:27,880 --> 00:58:30,080
Speaker 1: will be back tomorrow. Because it is a daily podcast,

1042
00:58:30,120 --> 00:58:30,920
Speaker 1: we talk to you guys on