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Speaker 1: Hello the Internet, and welcome to this episode of the

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Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments

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Speaker 1: from this week, all edited together into one NonStop infotainment

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Speaker 1: laugh stravaganza. Uh yeah, So, without further ado, here is

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Speaker 1: the Weekly Zeitgeist. Really all right, let's get into the

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Speaker 1: stories of the day. Um. Over the weekend, we had

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Speaker 1: a fire in New York City, which was national news

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Speaker 1: because it was in Trump Tower. Um. And yep, we

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Speaker 1: once again get a metaphor that we'd all call hackey

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Speaker 1: if we saw it in a movie. But it's happening reality,

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Speaker 1: So it's just like another news story. And you know,

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Speaker 1: this was getting coverage for a couple of reasons. Uh.

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Speaker 1: Guy died, which the shame. He's uh wealthy art collector,

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Speaker 1: and his name was Todd Brassner. Uh. And he was

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Speaker 1: on a floor that didn't have fire sprinklers, which uh

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Speaker 1: you would think is would be mandatory these days. Uh,

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Speaker 1: And apparently it is in any new building that was

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Speaker 1: built after like the nineties, late nineties in New York City,

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Speaker 1: after a couple of fires killed a bunch of people, Uh,

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Speaker 1: they were like, okay, we will need the sprinklers. Might

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Speaker 1: need those sprinklers. Uh, but landlords and developers like Donald

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Speaker 1: Trump and including Donald Trump uh lobbied against sprinklers uh

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Speaker 1: as being unnecessary and uh, which translates to expensive for him. Uh.

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Speaker 1: And he, you know, through spending and hassling, got them

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Speaker 1: to make it so that it was only required to

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Speaker 1: add sprinklers into buildings that were built going forward. Um,

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Speaker 1: we should never totally normalize the fact that we have

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Speaker 1: this cartoon landlord villain as the president. Like we it's

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Speaker 1: easy to just forget that this dude is like a

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Speaker 1: bad guy. Mr cutting Corn basically this guy, the sixty

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Speaker 1: seven year ol dude who lost his life. A lot

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Speaker 1: of the news is kind of portraying it to of that,

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Speaker 1: like there was an added tragedy because this man was

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Speaker 1: trying to move out of Trump Tower, but because it

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Speaker 1: was in Trump Tower, nobody wanted to buy it or whatever,

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Speaker 1: which is yeah, sure, I get that it must have

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Speaker 1: sucked to have been stuck with that building, especially like

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Speaker 1: as you know, security increase and it's like I'm walking

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Speaker 1: into a weird building. Now people like demonstrating or there's

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Speaker 1: like armed police or whatever. But you know, at the end,

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Speaker 1: it's crazy to know that this is all born out

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Speaker 1: of the idea of it just being simply the money

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Speaker 1: wasn't there, or he didn't want to spend the money.

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Speaker 1: Trump didn't want to to make the building safe. Just

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Speaker 1: totally fucking avoidable. I don't know, it's weird. It's one

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Speaker 1: of those stories too. We were talking before. It's like, yes,

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Speaker 1: this is a fucked up story, and then it's also

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Speaker 1: one of those Trump stories where you go, yeah, of course,

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Speaker 1: a fucking person who is living in Trump Tower died

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Speaker 1: from in a completely avoidable way, simply because of this

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Speaker 1: person's greed as a developer of not wanting to build

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Speaker 1: in these added security measures. So and I think that

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Speaker 1: sort of mentality is obviously bleeding into every level of

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Speaker 1: our government now. I just hope that people can start

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Speaker 1: to realize how government policy actually does affect your life

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Speaker 1: and can kill you. And I feel like that's something

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Speaker 1: that most of the country is like, Oh, we let

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Speaker 1: them all makers go in there and clamp the gables

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Speaker 1: and wrap the pipers, and it don't affect us. And

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Speaker 1: it's like, no, it does. It can kill you, like

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Speaker 1: decisions made by the government can and we'll kill you. Yeah. Well,

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Speaker 1: that's again why you know, the people talk about the

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Speaker 1: regulations is a bad word. This is the kind of

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Speaker 1: ship that you need basic safety standards so someone has

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Speaker 1: at least some form of fire, you know, some some

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Speaker 1: kind of sprinkler system to come back to fire that

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Speaker 1: breaks out. Yeah, these are the sorts of things that uh,

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Speaker 1: you know, government regulations are a bad word. Uh, they're

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Speaker 1: just it's not a cool thing to talk about. In

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Speaker 1: most of America, but also especially in like Fox News

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Speaker 1: America and Trump America, they think that all government is bad.

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Speaker 1: So if the government is doing it, it should not

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Speaker 1: be happening. And the people who are applauding regulations being

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Speaker 1: taken down our assholes who are like, see, now we

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Speaker 1: don't spend that extra seventy K to put in the

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Speaker 1: sprinkler system and we can save that blah blah blah. Yeah,

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Speaker 1: that's the kind of fucking regular like, come on, and

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Speaker 1: that would have made jobs. Yeah exactly, private firemen right

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Speaker 1: have their fires, but think about how much money you

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Speaker 1: can make. But yeah, in addition to that sort of

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Speaker 1: thinking bleeding into our national government. Now, uh it apparently

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Speaker 1: you know, he didn't just make it so that Trump

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Speaker 1: Tower didn't need to ad sprinklers. It's all residential buildings

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Speaker 1: in New York City. And you know, some experts were

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Speaker 1: talking about on yesterday's Sunday shows that the buildings in

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Speaker 1: New York are basically fire traps because of this legislation, because,

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Speaker 1: uh they don't have sprinklers and fire engine ladders only

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Speaker 1: go to something like the nineteenth floor. And that's Jesus,

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Speaker 1: that's nothing in New York. You know, most buildings are

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Speaker 1: above nineteen stories tall. Uh So, yeah, it's it's not great.

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Speaker 1: It's a good thing. He was discriminating against the Blacks.

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Speaker 1: We won't be done in those fires. Couldn't move it, right.

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Speaker 1: Uh So, we do want to talk about a study

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Speaker 1: that just came out that male students vastly overestimate their

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Speaker 1: intelligence when compared to female students, which is not the

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Speaker 1: most counterintuitive things, But what if you are just smarter

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Speaker 1: than everybody? Right, So, a male student with an average grade,

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Speaker 1: for example, was predicted to see himself as smarter than

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Speaker 1: sixty six percent of his class, whereas a female student

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Speaker 1: with the same grade was expected to see herself as

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Speaker 1: smarter than only fifty four percent of our class. So

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Speaker 1: we all think we're smarter than we actually are, but uh, men,

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Speaker 1: it's vastly overestimated. I don't know, do you ever grow

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Speaker 1: up an Asian house because I'll get a's and my

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Speaker 1: mom was like, I think you're smart. You get a

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Speaker 1: ninety nine. They'd be like, what happens to the one exactly?

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Speaker 1: And it's funny because I have an almost different relationship

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Speaker 1: with grades, where I was always operating from a place

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Speaker 1: of lack. I was like, myself, prove myself. I'm not

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Speaker 1: smart than everybody, right, so, yes, thank you everybody. I'm

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Speaker 1: the most wokeman on earth. But I do think that, Yeah,

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Speaker 1: we we have talked about the Dunning Kruger effect and

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Speaker 1: the fact that people who don't know all that much

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Speaker 1: are the ones who are most likely to overestimate themselves,

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Speaker 1: and people who know a lot are the most likely

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Speaker 1: to accurately or underestimate themselves. But I just think it's

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Speaker 1: interesting that men. So there's this huge gap in the stems. Uh,

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Speaker 1: you know, more men at STEM degrees science, technology, engineering, engineering,

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Speaker 1: and mathematics, and more men get STEM degrees, more men

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Speaker 1: going to STEM fields. Yes, so women fill of all

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Speaker 1: us jobs, this is in two thousand fifteen, but they

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Speaker 1: hold only of stem jobs because there's just this gap.

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Speaker 1: And uh, we saw this when there was that googler

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Speaker 1: who got fired from Google for posting a letter where

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Speaker 1: it was like men are just better at engineering them women.

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Speaker 1: Like what can I say? Uh, this is one of

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Speaker 1: those things that people actually believing. You'd be surprised how

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Speaker 1: many men actually believe like men are just have better

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Speaker 1: minds for math. Like the president, the president of fucking

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Speaker 1: Harvard was like basically said something to that effect, not

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Speaker 1: too long and when you don't deserve to be anywhere

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Speaker 1: near Harvard bro Right. He got in a lot of

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Speaker 1: trouble for it, but he was like, we have to

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Speaker 1: acknowledge that their differences between male and female minds and

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Speaker 1: black people have an extra muscle in their hamstring exactly,

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Speaker 1: that's the slippery slope. And I have just witnessed this

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Speaker 1: personally my wife being a doctor, Like it's just crazy,

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Speaker 1: the unspoken sexism in that field. Like and just like

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Speaker 1: I've gone into doctor's appointments where the doctor will talk

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Speaker 1: to me about her, like when she has something wrong

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Speaker 1: with her, like, wait, why are you taking her to

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Speaker 1: her doctor's appointment? I was just with her, Okay, I thought, oh,

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Speaker 1: for the child, Well you were having a child? No, no, no,

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Speaker 1: we we were. She was there at the doctor's appointment.

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Speaker 1: I was just with her. It was like a weird

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Speaker 1: freak accident in my mind, in my mind, in my

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Speaker 1: mind opinion, the super misogynistic problem by problematic husband was like, okay,

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Speaker 1: you want to go to the doctor. Okay, I'm gonna

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Speaker 1: go with you. I know, I don't know about relationship.

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Speaker 1: Doctor already seen the doctor. The doctor knew that she

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Speaker 1: was a doctor. And it's still told me like the

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Speaker 1: like you're buying a right, yeah, exactly thing. What the

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Speaker 1: dually is? Man? The horsepower you're getting out of this thing? Now,

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Speaker 1: lady is there as speaking Chinese to you, little lady.

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Speaker 1: But you get it right, sir, This this come in

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Speaker 1: Turbodi's right, exactly gonna want that. There was a scene

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Speaker 1: in Madmen where they talked to January Jones's husband about

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Speaker 1: her cancer diagnosis while she's just like sitting there, and

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Speaker 1: that ship still happens, right, And like it just seems

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Speaker 1: like it's more embedded in people's minds than we realize.

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Speaker 1: It's just so predictable that undergraduate men would just have

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Speaker 1: this sort of in built an overcompetence, and are they

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Speaker 1: saying that's sort of contribute to an atmosphere that like

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Speaker 1: where women are probably at a sort of fork in

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Speaker 1: the road to choose a STEM career, STEM academic path,

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Speaker 1: and they're just kind of like, fuck, if I'm dealing

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Speaker 1: this ship than you know, well they so what they're saying,

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Speaker 1: and this has been true. My experience is that women

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Speaker 1: internalize these sort of beliefs, like women are less likely

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Speaker 1: to raise their hands in the class because I think

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Speaker 1: they are saying that the instructors are more likely to

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Speaker 1: be men. But even if it's women, it's a long

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Speaker 1: term thing. It's a thing where you know, even women

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Speaker 1: who come up in the STEM field are indoctrinated with

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Speaker 1: this idea that like men run ship. Yeah, well that's true.

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Speaker 1: The tech world is still the last sort of we're

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Speaker 1: not for last frontier, but one of the remaining frontiers

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Speaker 1: super fucked up, lopsided. I think that studies like this

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Speaker 1: it's great to shed light, but I feel like sometimes

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Speaker 1: in the way that we strive for a quality of

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Speaker 1: the sexes or even the races is might not be

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Speaker 1: like the most effective. It's weird to try to tell

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Speaker 1: people who are arrogant to like come down and realize like, oh,

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Speaker 1: you're not that great when I think it might be

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Speaker 1: easier for us to just all come up to that place.

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Speaker 1: Like I remember when I was a kid, my grandma

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Speaker 1: used to tell me that only black people were good

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Speaker 1: at things. Um, and I believe this for so long actually,

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Speaker 1: until I heard Christina Aguilar saying because I was like, great,

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Speaker 1: is she not black? But what that gave me, right,

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Speaker 1: she probably is. But what that gave me was an

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Speaker 1: end no centricity. That gave me confidence is especially as

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Speaker 1: a darker skin black woman, where I have to deal

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Speaker 1: with the bullshit within my own race. But it made

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Speaker 1: me feel like I'm supposed to be here. I should

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Speaker 1: be taking up space. I feel like we as women

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Speaker 1: have to get more, like, you know, maybe we should

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Speaker 1: be man spreading too. Instead of asking the man stop spreading,

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Speaker 1: you just move your thighs out a little more too,

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Speaker 1: like take up a little more space. Right. Well, then,

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Speaker 1: I think that's what this article is. You just distilled

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Speaker 1: down to men are fucking dumb and they think they're

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Speaker 1: smarter than they are, So don't worry. So don't worry,

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Speaker 1: like raise your head, talk and talk over them. Probably

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Speaker 1: step on their words. It might be easier than like, hey, guys,

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Speaker 1: could you alla be consider it? Yeah? Could you be

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Speaker 1: more realistic about how dumb you are? Yeah? Us with

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Speaker 1: yourself about your ability, sir. I mean, I think their

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Speaker 1: main takeaway is that they need more women in stem fields,

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Speaker 1: and they need to actually do more structural things to

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Speaker 1: encourage women to to go into these fields. Men make

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Speaker 1: you miserable sometimes in those kinds of male dominated atmospheres.

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Speaker 1: I mean, I did stand up for forever, and it

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Speaker 1: starts to become very taxing on your soul to constantly

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Speaker 1: crazy and like yeah, and it can make you want

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Speaker 1: to leave for sure. So I can understand why women

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Speaker 1: are like if I'm already in this expertise, like I

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Speaker 1: don't necessarily have to do this with my education, I

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Speaker 1: can still make money and avoid men. Men in stand

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Speaker 1: up are specifically like just talk down to you or

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Speaker 1: the like assume that you're yeah, like oh, you need

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Speaker 1: to be as funny as you are cute or like

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Speaker 1: like crazy ship like that. Yeah to my face. I

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Speaker 1: think they're being nice to be because you remember, like

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Speaker 1: stand up is still one of those fields that goes

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Speaker 1: down mostly in dark weird bodies, right, So it's like

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Speaker 1: it's a rodeo. Like that's why when ship came out

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Speaker 1: about like Lucy Kay and whoever else, it's like, yeah,

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Speaker 1: they're stand up guys, Like what do you mean every

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Speaker 1: stand up is showing you their dike. It's the norm.

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Speaker 1: Their office is a murky dark room. It is, yeah,

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Speaker 1: in the middle of the night. But yeah, so I

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Speaker 1: completely understand fields that would drive you out of them, right. Yeah.

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Speaker 1: So it's it's probably not just the stem fields either,

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Speaker 1: but I think this is the Yeah, the tech industry

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Speaker 1: is especially bad, especially for being located in, you know,

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Speaker 1: a town that prides itself on wokeness, San Francisco, And uh,

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Speaker 1: it's yeah, it's a pretty rough up there, real real quick.

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Speaker 1: I did want to touch on the thing that that

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Speaker 1: press conference was supposed to be about the Syria conflict,

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Speaker 1: because so listening to a super producer on Ajsnier and

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Speaker 1: Shrine Units podcast Ethnically Ambiguous, I have been kind of

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Speaker 1: getting a better few ill for what's going on in Syria. Uh,

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Speaker 1: And just a couple of things I wanted to share

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Speaker 1: with you guys that helped put the whole Syrian conflict

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Speaker 1: into perspective. Uh So something that I'm just learning and

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Speaker 1: I think a lot of people knew this was that

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Speaker 1: this all started with the Arab Spring and sort of

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Speaker 1: the democratic uprising in the Middle East. And basically that

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Speaker 1: helped me make sense of the fact that Russia is

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Speaker 1: against democracy essentially, and because right and because their spring

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Speaker 1: was about like democratic uprising. Uh, they are you know,

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Speaker 1: going to support the Syrian government and any other government

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Speaker 1: that is, you know, on the side of being authority

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Speaker 1: carry because you don't want your kids getting ideas, right.

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Speaker 1: And Iran also fits into that rubric. Uh. You know,

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Speaker 1: they are not in favor of Western democracies. Uh. And

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Speaker 1: then there's also the fact that so Syria is mostly

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Speaker 1: sunny uh and they are run by dictator who's secular,

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Speaker 1: but you know, Iran is mostly Shia, and so there's

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Speaker 1: that kind of inherent conflict, right, and that helped me

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Speaker 1: make sense of I guess just where we are in

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Speaker 1: the conflict. Uh. So, you know, America is technically on

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Speaker 1: the side of the rebels. Uh. And the you know

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Speaker 1: of Syria is sunny. Uh, they are run by a

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Speaker 1: dictator who is you know, secular. Like I said, so,

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Speaker 1: America is supposed to be supporting the people and the rebellion,

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Speaker 1: and but they haven't totally full throatedly supported them. And

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Speaker 1: Saudi Arabia, who is also sunny, has been sort of

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Speaker 1: standing on the sidelines a little bit, uh, not really

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Speaker 1: supporting because they're taking America's lead. Uh. So that also

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Speaker 1: put the rise of Mohammed been Salmon in context because

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Speaker 1: like why he's important because he is sort of on

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Speaker 1: the American side if you're looking at things like around

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Speaker 1: this conflict. So yeah, that helped make sense of it

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Speaker 1: to me. We have a piece from one of our

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Speaker 1: writers that we won't have time to get into about

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Speaker 1: how the military sort of freaked out about Russia's cyber

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Speaker 1: powers because they're apparently just like taking drones out of

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Speaker 1: the sky with cyber attacks. Yeah, they're they're drone jamming

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Speaker 1: capabilities pretty good, and there are people in the U.

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Speaker 1: S Military like, how do they figure that out? Right?

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Speaker 1: Because apparently the drones that the US is using like

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Speaker 1: have built in sort of like anti scrambling mechanisms and

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Speaker 1: you know they're running on different I guess frequencies. Look,

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Speaker 1: I'm not a fucking droneist, drone orologist, but you know,

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Speaker 1: like they have a lot of built in countermeasures to

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Speaker 1: sort of counteract these kinds of things, and they're like

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Speaker 1: somehow ressrotracted. But not the armed drones like the Predator

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Speaker 1: and vapor drones that how guns like that are armed,

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Speaker 1: those have not been scraped, Like they haven't been able

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Speaker 1: to jam those. Can I say something about the whole thing,

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Speaker 1: which is that I think that listening to you break

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Speaker 1: down sort of an overview I think highlights one of

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Speaker 1: my big issues with the whole Syria conversation, which is

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Speaker 1: that I think your average American person doesn't know the

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Speaker 1: ins and out of the situation. Certainly, I am not

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Speaker 1: an expert on Syria, and it's one of those things

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Speaker 1: that I feel like people don't really know that much about,

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Speaker 1: so they're just sort of tuning out. And it's very

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Speaker 1: I mean, like we could be doing, you know, like

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Speaker 1: scaling up military intervention in Syria, and I think people

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Speaker 1: are like, oh, I don't really know, and I'm gonna like,

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Speaker 1: what where is that? Like I think that people are

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Speaker 1: not paying attention to it because it projects it's like

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Speaker 1: a very complex issue and it is, and it worries

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Speaker 1: me that it's not a conversation that like average folks

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Speaker 1: are having because who is that going to impact, like

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Speaker 1: the American people, right, Like if if they're sending troops over, like,

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Speaker 1: that's going to be US, And I think that we're

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Speaker 1: not even really checked in on that conversation. Yeah, well,

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Speaker 1: and what the yeah, what the stakeholders want in this situation? Right,

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Speaker 1: because I think on one hand, with the US retreating,

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Speaker 1: that has emboldened like clearly this triumvirate of Russia, Turkey,

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Speaker 1: and Iran to kind of come together and be like, oh,

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Speaker 1: it looks like the US taken a back seat so

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Speaker 1: we can dictate sort of what the future is going

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Speaker 1: to be in this region. And that also is kind

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Speaker 1: of weird because the US doesn't want to draw red

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Speaker 1: lines and then not follow up on them because then

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Speaker 1: that makes Trump look toothless. And he's up against that too.

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Speaker 1: There's so many it's like he's got his back against

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Speaker 1: the wall, like you know, like and also you know,

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Speaker 1: he he wanted to pull out, but then clearly there

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Speaker 1: which was not a good idea. John McCain was like,

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Speaker 1: you know, this is why you don't say we're planning

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Speaker 1: to pull out before you do it right exactly, and

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Speaker 1: then look what happens. And you know, Israel has been

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Speaker 1: like apparently over the weekend, you know, Israel struck an

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Speaker 1: air base and no one still quite knows why, like

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Speaker 1: when they have had air strikes and Syries typically to

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Speaker 1: like intercept shipments of like Iranian weapons to hez Balah,

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Speaker 1: and that's why they've had but the people are still

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Speaker 1: kind of confused and they haven't said so there's so

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Speaker 1: many moving parts. And yes, again, if we do enter

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Speaker 1: another armed conflict, like and we actually put boots on

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Speaker 1: the ground like in a really really focused, concentrated effort

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Speaker 1: to hit back at Asad's military capability and his and

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Speaker 1: his forces, that's like not insignificant. And this is like

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Speaker 1: has the feel of like a World War type thing

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Speaker 1: where like all the different sides are sort of aligning

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Speaker 1: and you know everything that that other side stands for,

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Speaker 1: you know, like you said, Turkey has traditionally been a

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Speaker 1: U s Allay, but now they have a dictator in

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Speaker 1: charge and so they are suddenly you know, uh, trending

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Speaker 1: towards the side of Russia and dictatorships and military control

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Speaker 1: and in Iran. So because the more and more Turkey

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Speaker 1: folks around and you know, crimits, more human rights violations,

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Speaker 1: that's usually when the US starts to give them static

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Speaker 1: and they're like that you can't do this, like, come on,

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Speaker 1: we have bases there. You can't just be violating people's

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Speaker 1: human rights. And the more that they do that, that's

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Speaker 1: just been you know, deteriorating our relationship with Turkey and

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Speaker 1: sort of putting them closer into the Iran Russia party

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Speaker 1: as they're like, oh, we kind of like how you move.

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Speaker 1: And there's kind of strange bedfellows too, like historically they

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Speaker 1: you know, Russian Turkey have been enemies. But anyway, and

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Speaker 1: I think sorry, And then a super producer around Hosny

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Speaker 1: just pointed out that uh ISIS also entered the uh

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Speaker 1: dais trop uh not too long ago. Completely complicating and

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Speaker 1: already insanely complicated situation because they're not necessarily on either side,

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Speaker 1: but then uh, they're feeling a power vacuum, right, And

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Speaker 1: I think there are some people like I think Syrian

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Speaker 1: forces don't necessarily kill ISIS fighters, like they're not actively

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Speaker 1: targeting them. So it's very complicated situation, but it's one

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Speaker 1: that started making sense to me when I learned the

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Speaker 1: facts that I just tried to share there. So we'll

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Speaker 1: be keeping an eye on that. Trump said that, you know,

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Speaker 1: because of this chemical weapon attack over the weekend, there

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Speaker 1: will be a response from America and France, UH coming

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Speaker 1: in the next hours. So we'll be keeping an eye

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Speaker 1: on that with the rest of the world. We're gonna

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

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Speaker 1: and talking about the things people are thinking and talking

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Speaker 1: about right now. And the thing that people are thinking

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Speaker 1: and talking about right now is Mark Zuckerberg's testimony in

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Speaker 1: front of Congress. UH testimony is I don't know if

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Speaker 1: that's the that seems like a misnomer. It seemed like

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Speaker 1: in r F a Q for older people about so

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Speaker 1: that was a thing that happened. Was so you could

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Speaker 1: tell that a lot of these elderly congress people would

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Speaker 1: UH have these prepared remarks from their younger staffers who

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Speaker 1: had like done all the legwork, and as long as

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Speaker 1: they stuck to those remarks and like the first question,

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Speaker 1: they were all good, and then they would just get

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Speaker 1: distracted by something he said, and would suddenly be like, wait, now,

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Speaker 1: how does that work? Because you said that it's free,

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Speaker 1: and how do you make money? Then I like the St.

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Speaker 1: Louis Cardinals page and I was getting information about the Brewers.

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Speaker 1: That's it's not right, right. I thought it was weird

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Speaker 1: that he addressed everyone as Senator without their last name.

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Speaker 1: It's like calling everyone Mr. Like a child. That was

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Speaker 1: the other thing we found out yesterday is that he's

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Speaker 1: five seven. Yeah. I didn't realize he's five seven because

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Speaker 1: everyone everyone showed there like Luke, and he's on a

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Speaker 1: booster seat, which is actually to be fair common practice

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Speaker 1: because and also it's like a back thing, like but

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Speaker 1: some people like James Comey wouldn't need the booste because

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Speaker 1: he's like six but like, yeah, if you're five seven,

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Speaker 1: And also I know it's crazy because you could clearly

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Speaker 1: tell his pr People are very protective about how he's shot,

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Speaker 1: like photographically, because I wouldn't have known just based on

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Speaker 1: photographs that he was only five seven. Yeah, no, I

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Speaker 1: had not, did you guess he was? I thought he

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Speaker 1: was like probably five nine or ten, but not six ft.

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Speaker 1: After so many meetings, so many celebrities in real life,

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Speaker 1: I never assume anyone is six ft tall, right, I

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Speaker 1: always think they are because how shots are afraid of

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Speaker 1: things like right. But then you're like, but yeah, he's

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Speaker 1: a we man, and yeah. There were some interesting moments,

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Speaker 1: but for the most part, it did seem like they

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Speaker 1: were just asking him to explain Facebook in a lot

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Speaker 1: of moments. You know, the younger congress people, uh, you know,

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Speaker 1: like took it to him, like Senator Kamala Harris, you know,

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Speaker 1: actually had valid questions that were pretty interesting. But some

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Speaker 1: of the issues that were raised was the Facebook's involvement

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Speaker 1: in the MMR, which I knew that people had credited

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Speaker 1: Facebook with spreading some of the you know, hate speech

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Speaker 1: that eventually led to basically genocide. But I actually heard

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Speaker 1: an expert on Facebook talking about it today and she

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Speaker 1: was basically saying, it's completely inexcusable what they did, because

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Speaker 1: people were like, there is all this hate speech being

426
00:24:13,359 --> 00:24:17,000
Speaker 1: spread right now, and you guys aren't doing anything like

427
00:24:17,080 --> 00:24:20,480
Speaker 1: Facebook is a triumph of the will currently in our country.

428
00:24:20,520 --> 00:24:25,600
Speaker 1: It is spreading hatred currently actively, and you know, it

429
00:24:25,680 --> 00:24:28,640
Speaker 1: really brought into focus from me, and this was something

430
00:24:28,640 --> 00:24:32,119
Speaker 1: that was raised during the conversation. But his fitness to

431
00:24:32,640 --> 00:24:35,959
Speaker 1: run this company. Like, the things that made him good

432
00:24:36,000 --> 00:24:40,480
Speaker 1: at creating this giant product that everybody likes are not

433
00:24:40,600 --> 00:24:43,760
Speaker 1: the things that will make you good at running a

434
00:24:43,920 --> 00:24:47,719
Speaker 1: global community like he is being expected. Like a lot

435
00:24:47,760 --> 00:24:50,359
Speaker 1: of the things we're asking him to do are things

436
00:24:50,480 --> 00:24:54,520
Speaker 1: that a like a servant of people would do. You know,

437
00:24:54,560 --> 00:24:57,960
Speaker 1: somebody who's selfless and just is trying to make everybody's

438
00:24:58,000 --> 00:25:00,600
Speaker 1: lives as good as possible, and somebody who is community

439
00:25:00,640 --> 00:25:05,280
Speaker 1: minded and management minded. And the thing that he's extremely

440
00:25:05,280 --> 00:25:07,880
Speaker 1: good at is just like making a cool product that

441
00:25:08,320 --> 00:25:12,280
Speaker 1: creates services for people like him. I don't think he's

442
00:25:12,359 --> 00:25:16,520
Speaker 1: that interested. And you know, uh, being on the ground

443
00:25:16,560 --> 00:25:19,719
Speaker 1: in Myanmar and figuring out how how that works. Well

444
00:25:19,720 --> 00:25:21,560
Speaker 1: you could tell it too, because even when that he

445
00:25:21,600 --> 00:25:23,560
Speaker 1: did that see Ann interview, like a few weeks ago,

446
00:25:23,600 --> 00:25:26,199
Speaker 1: he was like, if you told me in two thousand

447
00:25:26,240 --> 00:25:28,719
Speaker 1: and four, I would be here talking about like, you know,

448
00:25:28,800 --> 00:25:32,360
Speaker 1: the dangers of Facebook to like a legitimate democratic election.

449
00:25:32,400 --> 00:25:34,920
Speaker 1: I'd be like, what the heck are you talking about? Yeah,

450
00:25:34,960 --> 00:25:36,800
Speaker 1: he doesn't have the interest, and I don't think you know,

451
00:25:36,840 --> 00:25:38,639
Speaker 1: he felt like his works done and then like you know,

452
00:25:38,680 --> 00:25:39,760
Speaker 1: what do you mean do I'm just gonna sit on

453
00:25:39,760 --> 00:25:41,679
Speaker 1: my pile of sixty plus billion dollars and I don't know,

454
00:25:41,960 --> 00:25:43,000
Speaker 1: I don't need to jump the gun. I don't know

455
00:25:43,040 --> 00:25:44,320
Speaker 1: if you're gonna touch on it. But like this feels

456
00:25:44,320 --> 00:25:46,639
Speaker 1: like such a direct parallel to Trump where it just

457
00:25:46,720 --> 00:25:48,600
Speaker 1: like like wasn't last week then a video come out

458
00:25:48,640 --> 00:25:50,560
Speaker 1: where someone asked Donald Trump. They were like, what advice

459
00:25:50,560 --> 00:25:52,240
Speaker 1: would you give yourself ten years ago? And he was like,

460
00:25:52,240 --> 00:25:55,199
Speaker 1: don't run for president. Yeah, he was like he just

461
00:25:55,240 --> 00:25:56,640
Speaker 1: like said that, and it was like a laugh line.

462
00:25:56,840 --> 00:25:59,480
Speaker 1: But like you could tell that. It's like these things

463
00:25:59,560 --> 00:26:02,200
Speaker 1: sound when any project is getting started. If you get

464
00:26:02,200 --> 00:26:04,440
Speaker 1: it off the ground, congratulations, But like to your point,

465
00:26:04,560 --> 00:26:06,240
Speaker 1: you have to then start putting in people who are

466
00:26:06,240 --> 00:26:08,520
Speaker 1: selfless who are gonna be able to oversee it, to

467
00:26:08,640 --> 00:26:12,200
Speaker 1: nurture it, go onto your next idea. But I'm with you.

468
00:26:12,280 --> 00:26:14,480
Speaker 1: It's like at some point a certain responsibility has to

469
00:26:14,520 --> 00:26:16,560
Speaker 1: be taken by you need somebody who's at least as

470
00:26:16,600 --> 00:26:21,600
Speaker 1: powerful as him, who is basically the president of this

471
00:26:21,960 --> 00:26:25,840
Speaker 1: two billion dollar nation that they've created. Like I mean,

472
00:26:25,920 --> 00:26:28,080
Speaker 1: I have experienced with this at cracked, like the things

473
00:26:28,119 --> 00:26:30,920
Speaker 1: that made me good at creating a product that made

474
00:26:30,920 --> 00:26:34,280
Speaker 1: cracked big, didn't necessarily make me good at like running

475
00:26:34,280 --> 00:26:36,840
Speaker 1: a massive community. I'm running a massive business, and like

476
00:26:37,080 --> 00:26:40,000
Speaker 1: you know that, I think that was a big failing

477
00:26:40,240 --> 00:26:43,520
Speaker 1: of mine because like that's just not what I was

478
00:26:43,760 --> 00:26:45,679
Speaker 1: in a position to do. You know, that's not what

479
00:26:45,720 --> 00:26:48,200
Speaker 1: I was trained at or good at. UM Maybe mark

480
00:26:48,240 --> 00:26:51,199
Speaker 1: and hire Barack Obama. Yeah, that's a man of the

481
00:26:51,280 --> 00:26:54,199
Speaker 1: type of person that we need. He can work from

482
00:26:54,240 --> 00:26:57,600
Speaker 1: home hopefully or like somebody from the U N or something,

483
00:26:57,640 --> 00:27:01,320
Speaker 1: because that's essentially what they need. We're also asking him

484
00:27:01,359 --> 00:27:05,080
Speaker 1: to do things for which he wouldn't get credit, which

485
00:27:05,400 --> 00:27:09,560
Speaker 1: you know, like stopping a you know, a genocide before

486
00:27:09,600 --> 00:27:14,000
Speaker 1: it happens, is not a thing that you get credit for, right. Unfortunately,

487
00:27:14,040 --> 00:27:17,760
Speaker 1: that's just not how dot exactly. It's like the things

488
00:27:17,840 --> 00:27:21,080
Speaker 1: that didn't happen is and like we just need them

489
00:27:21,119 --> 00:27:24,240
Speaker 1: to find somebody who that's going to be their entire photos.

490
00:27:24,920 --> 00:27:27,960
Speaker 1: H Well, I mean, did you guys delete your facebooks?

491
00:27:28,119 --> 00:27:30,280
Speaker 1: And it seems like that's been a ground swell. Have

492
00:27:30,480 --> 00:27:33,200
Speaker 1: you should delete your facebooks? I use it so sparingly

493
00:27:33,320 --> 00:27:35,800
Speaker 1: that like once I looked at what categories that they had,

494
00:27:35,840 --> 00:27:37,920
Speaker 1: because you know, you can find out what add categories

495
00:27:38,080 --> 00:27:39,639
Speaker 1: Facebook was able to put you in based on what

496
00:27:39,680 --> 00:27:41,919
Speaker 1: they know. I had used it so little that I

497
00:27:41,960 --> 00:27:44,320
Speaker 1: felt like, okay, you really you might not know much,

498
00:27:44,359 --> 00:27:46,760
Speaker 1: but that's not just the only way Facebook gets you,

499
00:27:47,040 --> 00:27:48,879
Speaker 1: which is sort of kind of what it seemed like

500
00:27:48,880 --> 00:27:50,760
Speaker 1: a lot of people during these testimonies We're trying to

501
00:27:50,800 --> 00:27:52,840
Speaker 1: get at because a lot of the stuff was everyone

502
00:27:52,880 --> 00:27:55,240
Speaker 1: was saying like, you're selling people's personal data. You're selling

503
00:27:55,280 --> 00:27:57,760
Speaker 1: people's personal data. You're selling people's personal data. And he's like, well, no,

504
00:27:58,240 --> 00:28:01,119
Speaker 1: I'm not selling the data. We have the data that

505
00:28:01,160 --> 00:28:06,439
Speaker 1: allows us to have a laser guided advertising advertising and

506
00:28:06,440 --> 00:28:10,520
Speaker 1: and so you know we're not selling the data. We're right, right,

507
00:28:10,520 --> 00:28:13,800
Speaker 1: We're selling access to your essentially. And I do think

508
00:28:14,080 --> 00:28:16,800
Speaker 1: super producer Nick Stump was pointing out that some of

509
00:28:16,800 --> 00:28:19,680
Speaker 1: the questions that people were like, look at this dumb

510
00:28:19,760 --> 00:28:22,800
Speaker 1: old person like we're in hatch being like, so how

511
00:28:22,800 --> 00:28:24,680
Speaker 1: the hell are you going to make money if you're

512
00:28:24,680 --> 00:28:27,240
Speaker 1: giving it away for free and him being like, uh,

513
00:28:27,280 --> 00:28:30,639
Speaker 1: we sell ads. Senator right was first of all that

514
00:28:30,760 --> 00:28:32,920
Speaker 1: was like okay, yeah, I get why you're an asshole,

515
00:28:33,000 --> 00:28:35,320
Speaker 1: Like I get exactly the type of asshole you are.

516
00:28:35,359 --> 00:28:40,160
Speaker 1: But also I think Hatch might have been trying to

517
00:28:40,200 --> 00:28:44,200
Speaker 1: make the point that you know, okay, so you're selling something,

518
00:28:44,320 --> 00:28:47,760
Speaker 1: you're making money somehow if we're not paying you, like

519
00:28:47,800 --> 00:28:50,800
Speaker 1: what the happening? Yeah, exactly, And he's like, we're selling

520
00:28:51,120 --> 00:28:54,520
Speaker 1: access to everyone, basically, we're not the data. And he

521
00:28:54,560 --> 00:28:56,840
Speaker 1: was really clear on repeating. I think he repeated that

522
00:28:57,440 --> 00:29:00,280
Speaker 1: like same line like eight times throughout the test money

523
00:29:00,280 --> 00:29:02,560
Speaker 1: because I think because he had his little note sheet

524
00:29:02,600 --> 00:29:04,560
Speaker 1: that he was using, and feel like that was probably

525
00:29:04,560 --> 00:29:08,600
Speaker 1: a highlighted nine times to help people tell people data, right,

526
00:29:08,680 --> 00:29:11,640
Speaker 1: Facebook uses your data to sell access to you, ye,

527
00:29:12,720 --> 00:29:21,920
Speaker 1: Senator Senator Senator Mr uh perpetual awkward sears portrait studio

528
00:29:22,000 --> 00:29:26,120
Speaker 1: photo of a sleep deprived person. And yeah, we'll see

529
00:29:26,120 --> 00:29:29,680
Speaker 1: how today goes. But man, he uh dude looks like

530
00:29:29,720 --> 00:29:32,400
Speaker 1: he needs a good night's sleep, looks like he has

531
00:29:32,520 --> 00:29:35,480
Speaker 1: not taken a solid ship in about a year's Yeah,

532
00:29:35,520 --> 00:29:39,360
Speaker 1: he's Mr diarrhea for sure. You're lower intestine closes up

533
00:29:39,360 --> 00:29:41,280
Speaker 1: when you go to the hill. Right. I feel like

534
00:29:41,320 --> 00:29:43,240
Speaker 1: that's a solid week where you're like, I'm not going

535
00:29:43,280 --> 00:29:48,000
Speaker 1: to be regular now you're going to toxify. So a

536
00:29:48,280 --> 00:29:54,080
Speaker 1: slightly lower stakes but more cartoonish example of Trump underestimating

537
00:29:54,120 --> 00:29:57,880
Speaker 1: the intelligence of literally everyone around him. Uh and in

538
00:29:57,920 --> 00:30:02,240
Speaker 1: this case being correct. H. So there's this New York

539
00:30:02,280 --> 00:30:04,880
Speaker 1: Post story that maybe moved like some of the most

540
00:30:05,000 --> 00:30:07,960
Speaker 1: copies that any New York Post headline has ever moved,

541
00:30:08,280 --> 00:30:12,320
Speaker 1: where Marla Maples, president Trump's former wife, one of his

542
00:30:12,400 --> 00:30:16,959
Speaker 1: former wife's, Tiffany, Tiffany's mother fun one came out and

543
00:30:17,000 --> 00:30:20,880
Speaker 1: said Trump is the best sex I've ever had. And

544
00:30:21,280 --> 00:30:24,200
Speaker 1: that was blasted across the front page of the wildly

545
00:30:24,240 --> 00:30:27,280
Speaker 1: conservative New York Post with the smug asked Donald Trump.

546
00:30:27,320 --> 00:30:30,360
Speaker 1: The cover is so funny because he's just like in

547
00:30:30,480 --> 00:30:33,080
Speaker 1: big New York Post style best sex ever had, and

548
00:30:33,120 --> 00:30:37,160
Speaker 1: he's just grinning Trump next to it, not even Marla Maples, right.

549
00:30:37,600 --> 00:30:42,520
Speaker 1: So apparently the editor from that time has come out

550
00:30:42,560 --> 00:30:47,720
Speaker 1: and said, you know, we actually mostly thought that that

551
00:30:47,960 --> 00:30:53,880
Speaker 1: was just Trump impersonating Marla Maples, impersonating his wife, which

552
00:30:53,960 --> 00:30:56,640
Speaker 1: is a thing that he's been known to do. And

553
00:30:56,680 --> 00:30:59,680
Speaker 1: actually I think we have audio of him on a

554
00:30:59,720 --> 00:31:04,520
Speaker 1: phone conversation with a different reporter where he is playing

555
00:31:04,720 --> 00:31:08,960
Speaker 1: the role of his spokesman, John Miller. I think John Miller, whatever,

556
00:31:09,400 --> 00:31:14,080
Speaker 1: who was a recurring Trump spokesman who nobody can find

557
00:31:14,120 --> 00:31:17,560
Speaker 1: any record of existing. But he would call up reporters

558
00:31:17,880 --> 00:31:19,880
Speaker 1: and be like, yeah, I'm John Miller. I want to

559
00:31:19,920 --> 00:31:22,840
Speaker 1: talk to you on behalf of Donald Trump. The best

560
00:31:22,880 --> 00:31:25,560
Speaker 1: is that he doesn't even try and do a voice.

561
00:31:25,800 --> 00:31:27,840
Speaker 1: I mean maybe he's trying to do or in his head.

562
00:31:27,920 --> 00:31:30,280
Speaker 1: But if you were anyone who knew Donald trying, would

563
00:31:30,280 --> 00:31:33,040
Speaker 1: be like, yeah, okay, John Miller, how can I help you?

564
00:31:33,160 --> 00:31:35,880
Speaker 1: So let's hear let's hear some clips of John Miller

565
00:31:35,920 --> 00:31:38,920
Speaker 1: talking to a reporter. You get called by everybody, You

566
00:31:39,040 --> 00:31:43,960
Speaker 1: get called by everybody in the book Kept a woman, Well,

567
00:31:44,040 --> 00:31:48,040
Speaker 1: you get called by a lot of people. Well what

568
00:31:48,120 --> 00:31:52,360
Speaker 1: about Carlin? Ready? Point right now? I think I think

569
00:31:52,360 --> 00:31:56,040
Speaker 1: it's somebody that you know is a beautiful wanted quickly

570
00:31:56,080 --> 00:32:05,760
Speaker 1: and beautiful and all. But I think that people that

571
00:32:05,880 --> 00:32:08,880
Speaker 1: you write about it all de greely glow with him.

572
00:32:11,640 --> 00:32:15,080
Speaker 1: I think that, I mean, he he has a girlfriend.

573
00:32:15,120 --> 00:32:18,760
Speaker 1: She lives in Canada, but she called all the would

574
00:32:19,800 --> 00:32:24,000
Speaker 1: she's beautiful, she's beautiful, she's a model. Yeah, man, that

575
00:32:24,000 --> 00:32:27,240
Speaker 1: that time honored classic life from junior high with the

576
00:32:27,360 --> 00:32:31,240
Speaker 1: girlfriend in the other state. Yeah, So why did he

577
00:32:31,280 --> 00:32:36,400
Speaker 1: get away with this just doing voices? And the New

578
00:32:36,480 --> 00:32:38,360
Speaker 1: York Post took him at his word. So the New

579
00:32:38,400 --> 00:32:41,800
Speaker 1: York Post is a conservative tabloid, and we're finding out

580
00:32:41,840 --> 00:32:44,880
Speaker 1: more and more that a big part of the Trump

581
00:32:44,920 --> 00:32:48,520
Speaker 1: methos is that he has good connections in the tabloid

582
00:32:48,560 --> 00:32:52,520
Speaker 1: in uh. And that seems to be very similar to

583
00:32:52,640 --> 00:32:57,120
Speaker 1: the way that the New York Post got the quote

584
00:32:57,160 --> 00:32:59,520
Speaker 1: for their cover, right, because at that time, there's like

585
00:32:59,560 --> 00:33:02,600
Speaker 1: a nineteen ninety he was trying to divorce Ivana Trump

586
00:33:03,200 --> 00:33:06,080
Speaker 1: uh and she was I guess regularly like just owning

587
00:33:06,160 --> 00:33:08,840
Speaker 1: him in the tabloid, like in the Calms War about

588
00:33:08,880 --> 00:33:12,560
Speaker 1: their divorce. And so one day, like something something came out.

589
00:33:12,600 --> 00:33:14,360
Speaker 1: He calls the New York Post like editor, the New

590
00:33:14,400 --> 00:33:16,400
Speaker 1: York Post, and this is a quote. He says, those

591
00:33:16,440 --> 00:33:19,880
Speaker 1: fucking bitches, I want a front page story tomorrow. This

592
00:33:19,920 --> 00:33:21,600
Speaker 1: is what they're saying. It was an actual quote from him,

593
00:33:21,680 --> 00:33:23,160
Speaker 1: and the editor told him said, the only we can

594
00:33:23,200 --> 00:33:24,680
Speaker 1: get on the front page is if it has to

595
00:33:24,720 --> 00:33:28,520
Speaker 1: do with sex money, murder, And he's not murdering something.

596
00:33:29,120 --> 00:33:32,520
Speaker 1: Not sex money in Central Park five, yeah, not the

597
00:33:32,560 --> 00:33:35,240
Speaker 1: New York Blood Gang. Uh. Sex money murder, but those

598
00:33:35,240 --> 00:33:38,120
Speaker 1: three topics. So Trump said, oh, well, you know, Marla says,

599
00:33:38,160 --> 00:33:39,720
Speaker 1: I'm like the best sex she's ever had. And the

600
00:33:39,800 --> 00:33:42,200
Speaker 1: editor responded, well, do you have anyone that can corroborate?

601
00:33:43,280 --> 00:33:45,560
Speaker 1: And he so he's on the phone. He just like,

602
00:33:45,600 --> 00:33:48,560
Speaker 1: apparently this is how the conversation goes. He goes, hey, Marla,

603
00:33:48,680 --> 00:33:50,720
Speaker 1: tell him about how you always say I'm the best

604
00:33:50,720 --> 00:33:55,040
Speaker 1: at sex? Yes, Donald, did you hear that? You see

605
00:33:55,120 --> 00:33:58,160
Speaker 1: so she said that and you should print that, And

606
00:33:58,280 --> 00:34:02,120
Speaker 1: like retrospectively, they're like, yeah, we always were a little

607
00:34:02,160 --> 00:34:04,640
Speaker 1: dubious about it. Who may have been actually saying that

608
00:34:04,760 --> 00:34:07,600
Speaker 1: on the back of the phone. But you know, when

609
00:34:07,600 --> 00:34:09,759
Speaker 1: he has to change the narrative, he knows how to

610
00:34:09,800 --> 00:34:12,800
Speaker 1: take his destiny into his own hands and just create realities.

611
00:34:12,880 --> 00:34:16,200
Speaker 1: He finds people even dumber than him, right, gets them

612
00:34:16,200 --> 00:34:20,160
Speaker 1: to report trash, yeah, or who are prone to being

613
00:34:20,280 --> 00:34:23,320
Speaker 1: friendly to people like him. The New York Post is

614
00:34:23,360 --> 00:34:27,200
Speaker 1: a conservative tabloid, and yeah, that seems to be a

615
00:34:27,200 --> 00:34:30,680
Speaker 1: big part of how the Trump methos has been created

616
00:34:31,320 --> 00:34:35,840
Speaker 1: from the start. And now, you know, running into his

617
00:34:36,040 --> 00:34:39,080
Speaker 1: run for the presidency, we're now finding out the New

618
00:34:39,120 --> 00:34:43,000
Speaker 1: Yorker has just released a report saying that the National

619
00:34:43,120 --> 00:34:48,360
Speaker 1: Enquirer paid thirty dollars to kill a story about Trump

620
00:34:48,400 --> 00:34:52,840
Speaker 1: having an illegitimate kid. The New Yorker hasn't uncovered anything

621
00:34:52,880 --> 00:34:55,480
Speaker 1: saying that he did actually have an illegitimate kid, just

622
00:34:55,560 --> 00:34:59,880
Speaker 1: that the National Enquirer paid thirty thousand dollars for that's

623
00:35:00,040 --> 00:35:05,120
Speaker 1: story and then just buried it, never published it. Um.

624
00:35:05,120 --> 00:35:09,560
Speaker 1: And this is a big deal because it establishes, you know,

625
00:35:09,600 --> 00:35:11,840
Speaker 1: we've already seen that this company would do this for

626
00:35:12,040 --> 00:35:16,759
Speaker 1: Trump with other stories of him having affairs. Uh, you know,

627
00:35:16,800 --> 00:35:19,360
Speaker 1: they would do a catch and kill where they pay,

628
00:35:19,520 --> 00:35:22,759
Speaker 1: you know, eighty thousand dollars for a story and then

629
00:35:22,920 --> 00:35:25,320
Speaker 1: just completely kill it. And this is, by the way,

630
00:35:25,680 --> 00:35:29,719
Speaker 1: one of the most frugal media companies out there, and

631
00:35:29,800 --> 00:35:33,279
Speaker 1: they're just paying money just to it. Isn't like they

632
00:35:33,280 --> 00:35:35,880
Speaker 1: wouldn't throw money at something if there wasn't a reason

633
00:35:36,520 --> 00:35:39,160
Speaker 1: to bury it. As in't like they're getting something more

634
00:35:39,280 --> 00:35:42,719
Speaker 1: valuable from Donald Trump right to keep this out of

635
00:35:42,760 --> 00:35:46,640
Speaker 1: their maxine. And this particular story, the thirty dollars paid

636
00:35:46,800 --> 00:35:49,920
Speaker 1: to kill, the story about him having an illegitimate child,

637
00:35:50,000 --> 00:35:54,719
Speaker 1: is significant because it establishes a pattern of buying and

638
00:35:54,760 --> 00:35:58,040
Speaker 1: burying stories that could be damaging to the president during

639
00:35:58,200 --> 00:36:02,279
Speaker 1: the campaign, which is against campaign. I mean, if you

640
00:36:02,320 --> 00:36:05,840
Speaker 1: believe fire and fury. Steve Bannon was like, hey, Caswitz

641
00:36:06,000 --> 00:36:07,839
Speaker 1: was like the fucking fixer man, Like, what are there

642
00:36:07,840 --> 00:36:13,839
Speaker 1: like a hundred women? I mean, I hope that's an exaggeration,

643
00:36:14,400 --> 00:36:16,919
Speaker 1: but who knows. I mean the way this fucking guy moves,

644
00:36:16,960 --> 00:36:19,120
Speaker 1: I wouldn't put it past them. It reminds me like

645
00:36:19,200 --> 00:36:22,480
Speaker 1: in the Game of Thrones story where like Robert Brathian

646
00:36:22,520 --> 00:36:25,640
Speaker 1: has like twenty illegitimate children and and all the Lanisters

647
00:36:25,640 --> 00:36:27,399
Speaker 1: are like just trying to go around and kill all

648
00:36:27,400 --> 00:36:30,040
Speaker 1: of them, stillkilling the story. They go around kill actual

649
00:36:30,200 --> 00:36:33,120
Speaker 1: people that might be the like the heir to the

650
00:36:33,160 --> 00:36:37,040
Speaker 1: throne they don't know. Yeah, very similar. Better safe than sorry. Yeah,

651
00:36:37,480 --> 00:36:40,080
Speaker 1: you're just doing that with with people who had information.

652
00:36:40,320 --> 00:36:41,920
Speaker 1: So I just want to read from the New York

653
00:36:42,000 --> 00:36:45,480
Speaker 1: Or article because it's just interesting how this ties into

654
00:36:45,520 --> 00:36:47,480
Speaker 1: some of the stuff we've been talking about on a

655
00:36:47,520 --> 00:36:50,480
Speaker 1: section of our podcast. You wouldn't think would be this relevant,

656
00:36:50,520 --> 00:36:55,360
Speaker 1: but we do a blood watch Friday and where we

657
00:36:55,400 --> 00:36:57,440
Speaker 1: look at the what's on the front page of the

658
00:36:57,440 --> 00:37:00,359
Speaker 1: tabloids because people are looking at that seeing that every

659
00:37:00,360 --> 00:37:03,560
Speaker 1: time they go to the grocery store. Uh, and you know,

660
00:37:03,640 --> 00:37:07,520
Speaker 1: there's wild ship being published on on those front pages.

661
00:37:07,640 --> 00:37:10,880
Speaker 1: And it always seems to be about the Clintons doing

662
00:37:10,920 --> 00:37:13,919
Speaker 1: bad stuff for Obama and never about Trump. And that's

663
00:37:13,960 --> 00:37:18,160
Speaker 1: because almost all of those tabloids are owned by this company,

664
00:37:18,200 --> 00:37:20,880
Speaker 1: American Media Inc. They're kind of like the fake news

665
00:37:21,040 --> 00:37:24,520
Speaker 1: before it went to the Internet. It's like just the

666
00:37:24,600 --> 00:37:28,440
Speaker 1: tabloid news is just whatever makeup ship bad about someone

667
00:37:28,520 --> 00:37:34,839
Speaker 1: exactly purpose. So, two sources from American Media Inc. Said

668
00:37:34,880 --> 00:37:38,400
Speaker 1: that they think that the catch and Kill operations basically

669
00:37:38,440 --> 00:37:42,480
Speaker 1: cemented a partnership between Pecker, who's the head of am I,

670
00:37:42,680 --> 00:37:46,560
Speaker 1: and Trump, and that people close to President Trump had

671
00:37:46,600 --> 00:37:52,480
Speaker 1: subsequently introduced Pecker to potential sources of funding. And this

672
00:37:52,560 --> 00:37:58,640
Speaker 1: ties back to that random magazine tabloid about NBS Mohammed

673
00:37:58,719 --> 00:38:03,480
Speaker 1: Ben Solomon Prince, Yeah, the crown Prince of Saudi Arabia.

674
00:38:04,000 --> 00:38:07,680
Speaker 1: Suddenly there was just in everybody's grocery store aisle, a

675
00:38:07,760 --> 00:38:11,040
Speaker 1: giant tabloid about how rad that dude was and he's

676
00:38:11,280 --> 00:38:14,720
Speaker 1: welcome to the Kingdom, y'all, with no with no ads,

677
00:38:14,880 --> 00:38:19,279
Speaker 1: no not an advertisement inside really Yeah, that's that's rare

678
00:38:19,440 --> 00:38:22,920
Speaker 1: for any publication should raise a red flag, right, But

679
00:38:23,000 --> 00:38:24,880
Speaker 1: one of the am I sources told The New Yorker,

680
00:38:24,880 --> 00:38:27,279
Speaker 1: Pecker is not going to take thirty thou dollars from

681
00:38:27,360 --> 00:38:31,000
Speaker 1: company funds to shut down a potentially damaging story without

682
00:38:31,040 --> 00:38:33,120
Speaker 1: making sure it got back to him so he could

683
00:38:33,160 --> 00:38:37,080
Speaker 1: get credit. And then in two thousand seventeen, his company

684
00:38:37,120 --> 00:38:40,840
Speaker 1: began acquiring new publications, including US Weekly, a men's journal,

685
00:38:41,280 --> 00:38:44,040
Speaker 1: And this was right around the time that he started

686
00:38:44,080 --> 00:38:48,920
Speaker 1: becoming friends with MBS and publishing stories like friendly to MBS.

687
00:38:48,960 --> 00:38:52,439
Speaker 1: So they think that basically MBS helped him fund those

688
00:38:52,440 --> 00:38:56,200
Speaker 1: purchases of those new magazines. And it's all just a

689
00:38:56,239 --> 00:39:02,759
Speaker 1: big magazines. I get more press coverage. Yeah, so trumps yo.

690
00:39:03,080 --> 00:39:05,520
Speaker 1: If Mohammed been Salmon, you know, I'm I'm working a

691
00:39:05,520 --> 00:39:10,640
Speaker 1: couple of magazines too. Uh right, It's called getting high

692
00:39:10,680 --> 00:39:14,040
Speaker 1: with fidget spinners, if you know, ads needed. But it's funny.

693
00:39:14,080 --> 00:39:15,640
Speaker 1: I mean, it's good to have someone like David Pecker.

694
00:39:15,680 --> 00:39:18,440
Speaker 1: You know. It's like when didn't Nike like scrub every

695
00:39:18,440 --> 00:39:21,360
Speaker 1: photo of a Rod's man boobs from his steroid induced

696
00:39:21,520 --> 00:39:25,200
Speaker 1: like gyo kymastia. He got you can't find a picture

697
00:39:25,200 --> 00:39:27,600
Speaker 1: of it on the internet anymore, Like it's very hard

698
00:39:27,640 --> 00:39:30,319
Speaker 1: to find like photos of a shirtless a rod during

699
00:39:30,360 --> 00:39:32,879
Speaker 1: that time, because Nike was like, no, no, no, no, no,

700
00:39:33,000 --> 00:39:37,799
Speaker 1: we do not need this out. Yeah, what's going on

701
00:39:37,800 --> 00:39:40,359
Speaker 1: in the world of baseball, Miles, I mean, look, I

702
00:39:40,400 --> 00:39:42,720
Speaker 1: wanted to bring this story up because I'm really excited

703
00:39:42,760 --> 00:39:46,640
Speaker 1: about Shoho Tani, the Japanese baseball player who is fucking

704
00:39:46,640 --> 00:39:49,280
Speaker 1: doing great, uh and just really fun to watch because

705
00:39:49,320 --> 00:39:52,360
Speaker 1: he's he can pitch, he can hit, he's throwing triple

706
00:39:52,440 --> 00:39:55,600
Speaker 1: digit fastballs. And there was an article that just popped

707
00:39:55,640 --> 00:39:59,839
Speaker 1: up and wired about how the fastball is probably hit

708
00:40:00,040 --> 00:40:03,200
Speaker 1: heak velocity, and probably has for the last eighty years,

709
00:40:03,239 --> 00:40:05,279
Speaker 1: like no one has actually thrown a ball faster than

710
00:40:05,360 --> 00:40:07,879
Speaker 1: a certain amount. And so they're saying that a decade ago,

711
00:40:07,960 --> 00:40:10,279
Speaker 1: major league pictures through a grand total of just one

712
00:40:11,239 --> 00:40:14,680
Speaker 1: triple digit fastballs in a single season. Last year, forty

713
00:40:14,719 --> 00:40:19,080
Speaker 1: pitchers collectively through one thousand, seventeen triple digit fastballs in

714
00:40:19,120 --> 00:40:22,479
Speaker 1: the season. And so what they're saying is like, sure,

715
00:40:22,640 --> 00:40:25,520
Speaker 1: we're seeing more people being able to throw hundred plus

716
00:40:25,640 --> 00:40:28,919
Speaker 1: a mile an hour fastballs, but the velocity hasn't changed.

717
00:40:28,960 --> 00:40:30,759
Speaker 1: It's just the number of people who have gotten to

718
00:40:30,800 --> 00:40:33,680
Speaker 1: that level has And because right now, I think the

719
00:40:33,719 --> 00:40:36,960
Speaker 1: current recorded fastest pitch, I think it's from eroldist Chapman

720
00:40:37,080 --> 00:40:40,239
Speaker 1: was like a hundred and five back but they were

721
00:40:40,320 --> 00:40:42,799
Speaker 1: saying that, you know, like Nolan Ryan was actually the

722
00:40:42,800 --> 00:40:46,680
Speaker 1: first pitcher to be tracked by radar and his like fastball.

723
00:40:46,719 --> 00:40:48,080
Speaker 1: I think the fastest when they got was like a

724
00:40:48,160 --> 00:40:50,759
Speaker 1: hundred point eight, but back then they were measuring under

725
00:40:51,360 --> 00:40:55,000
Speaker 1: one point eight miles. And back then they were measuring

726
00:40:55,320 --> 00:40:58,040
Speaker 1: that was the speed right before it crosses the plate,

727
00:40:58,280 --> 00:41:01,160
Speaker 1: whereas like the oldest Chapman's is taken as it was

728
00:41:01,280 --> 00:41:03,520
Speaker 1: leaving his hand. So they were saying that if you

729
00:41:03,560 --> 00:41:06,600
Speaker 1: sort of reverse engineer this, those sort of numbers that

730
00:41:07,160 --> 00:41:10,120
Speaker 1: Nolan Ryan might have been throwing fastballs up upwards of

731
00:41:10,160 --> 00:41:12,920
Speaker 1: one miles per hour. And they said they're even pictures

732
00:41:12,920 --> 00:41:15,839
Speaker 1: from the fifties and twenties that they suspect probably had

733
00:41:15,840 --> 00:41:18,480
Speaker 1: the same ability. So we're starting to see that our

734
00:41:18,520 --> 00:41:22,000
Speaker 1: bodies are reaching a certain I guess, peak level because

735
00:41:22,000 --> 00:41:24,000
Speaker 1: and I think the other thing they're doing is connecting

736
00:41:24,120 --> 00:41:25,960
Speaker 1: this like sort of a lot of the strain from

737
00:41:25,960 --> 00:41:28,200
Speaker 1: fastball pitching to the huge jump in number of Tommy

738
00:41:28,280 --> 00:41:30,719
Speaker 1: John surgeries people are getting. And if you don't know

739
00:41:30,800 --> 00:41:33,960
Speaker 1: Tommy John surgery is that's when attendant in your elbow

740
00:41:34,040 --> 00:41:36,440
Speaker 1: tears and your surgeons replace it with like a fresh

741
00:41:36,440 --> 00:41:38,520
Speaker 1: one from your wrist or your form or your hamstring.

742
00:41:38,600 --> 00:41:41,239
Speaker 1: And they do all kinds of ship to reinforce that,

743
00:41:41,280 --> 00:41:45,799
Speaker 1: but not necessarily like making people faster pictures. But it's

744
00:41:45,840 --> 00:41:50,399
Speaker 1: just giving that. Yeah, exactly, it's longevity. And they're saying

745
00:41:50,400 --> 00:41:52,759
Speaker 1: because like the amount of torque you're putting on your

746
00:41:52,760 --> 00:41:56,520
Speaker 1: shoulder is like holding five twelve pound bowling balls like

747
00:41:56,600 --> 00:42:00,080
Speaker 1: sixty pounds, like at the its most intense moment, and

748
00:42:00,120 --> 00:42:02,719
Speaker 1: not just our bodies just you know, not go for it. Yeah,

749
00:42:02,719 --> 00:42:04,640
Speaker 1: so you can only throw a five ounce sphere about

750
00:42:04,680 --> 00:42:07,239
Speaker 1: a hundred five miles. Yeah, which kind of bums me

751
00:42:07,280 --> 00:42:10,480
Speaker 1: out because I was always hoping, you know, people are

752
00:42:10,560 --> 00:42:13,719
Speaker 1: running faster, jumping higher. You'd think that logic would apply

753
00:42:13,760 --> 00:42:15,560
Speaker 1: to baseball. But it's interesting to see that way. Maybe

754
00:42:15,560 --> 00:42:18,040
Speaker 1: there is a limit to something like this. I guess

755
00:42:18,080 --> 00:42:21,319
Speaker 1: that's what's interesting about baseball, or that's something baseball has

756
00:42:21,360 --> 00:42:24,239
Speaker 1: that the other sports don't like basketball and football have

757
00:42:24,400 --> 00:42:30,799
Speaker 1: gotten better, faster, stronger, like more visibly you know, impressive,

758
00:42:31,280 --> 00:42:33,960
Speaker 1: just in our lifetime. Like you can see a change

759
00:42:34,120 --> 00:42:37,480
Speaker 1: from when Jordan was playing versus when Lebron was playing.

760
00:42:37,680 --> 00:42:39,919
Speaker 1: In fact, there's an amazing super cut did you see

761
00:42:39,960 --> 00:42:43,520
Speaker 1: that of like Jordan's playing against people and just the

762
00:42:43,600 --> 00:42:46,960
Speaker 1: shitty defense that he faced, and they're just like tooth

763
00:42:47,040 --> 00:42:51,000
Speaker 1: Lebron would fucking destroy these people because Jordan's like scoring

764
00:42:51,040 --> 00:42:53,160
Speaker 1: on like three white dudes who like look like me,

765
00:42:53,440 --> 00:43:00,480
Speaker 1: like and are just you know, bastball players weren't the physical, yeah,

766
00:43:00,520 --> 00:43:03,719
Speaker 1: but baseball is, you know, And I guess this is

767
00:43:03,760 --> 00:43:07,719
Speaker 1: why people, you know, legislated the ship out of the

768
00:43:07,719 --> 00:43:11,800
Speaker 1: whole steroid thing is because baseball you can basically watch

769
00:43:11,920 --> 00:43:15,640
Speaker 1: somebody today and think about how he compared statistically to

770
00:43:15,760 --> 00:43:18,319
Speaker 1: the people who are playing in the twenties. And you know,

771
00:43:18,840 --> 00:43:22,640
Speaker 1: obviously they were working with a more limited talent pool

772
00:43:22,840 --> 00:43:26,600
Speaker 1: because there it was a white only sport back then.

773
00:43:26,719 --> 00:43:29,800
Speaker 1: But a bunch of white fatties, right, But what position

774
00:43:29,840 --> 00:43:33,520
Speaker 1: do you play? I was outfield because you know a

775
00:43:33,520 --> 00:43:35,680
Speaker 1: lot of guys who are sucking up their arms from

776
00:43:35,719 --> 00:43:37,920
Speaker 1: trying to throw the heat. I mean, I threw out

777
00:43:37,920 --> 00:43:39,839
Speaker 1: my arms several times, not like in a way of

778
00:43:39,840 --> 00:43:42,560
Speaker 1: tearing right right ligaments or anything like that, but yeah,

779
00:43:42,960 --> 00:43:47,400
Speaker 1: it's not a natural motion. Definitely putting undue strain on

780
00:43:47,520 --> 00:43:50,440
Speaker 1: your ligaments, because I've seen like other people there have

781
00:43:50,480 --> 00:43:52,359
Speaker 1: been like pitching coaches who are trying to do other

782
00:43:52,480 --> 00:43:55,360
Speaker 1: pitching motions that are less sort of strenuous on your body.

783
00:43:55,400 --> 00:43:58,760
Speaker 1: But look, I'm just still holding out for some freak

784
00:43:59,080 --> 00:44:02,520
Speaker 1: to be able to throw like a hundred freak is

785
00:44:02,600 --> 00:44:05,279
Speaker 1: going to be a cyborg exactly, and then we're just

786
00:44:05,280 --> 00:44:09,080
Speaker 1: playing bass Wars, right, and this is robots playing actually,

787
00:44:09,080 --> 00:44:10,719
Speaker 1: and we're not even dealing with humans. If you guys

788
00:44:10,760 --> 00:44:13,600
Speaker 1: don't think they're cyborgs. And the MLB already, you're fooling

789
00:44:13,640 --> 00:44:19,680
Speaker 1: your Here we go, Mike Stanton, I can't get MLB

790
00:44:19,840 --> 00:44:22,399
Speaker 1: is always watching. All right, we're gonna take a quick break.

791
00:44:22,440 --> 00:44:34,080
Speaker 1: We'll be right back, and we're back. One of the

792
00:44:34,120 --> 00:44:36,520
Speaker 1: things that I wanted to talk about real quick is

793
00:44:37,040 --> 00:44:40,520
Speaker 1: this news alert that credit card companies are now just

794
00:44:40,640 --> 00:44:44,960
Speaker 1: admitting that we don't need to sign bills. That like

795
00:44:45,040 --> 00:44:48,799
Speaker 1: signing bills doesn't do anything. So like when you get

796
00:44:48,800 --> 00:44:52,239
Speaker 1: the receipt after the merchant copy customer copy sign here,

797
00:44:52,520 --> 00:44:55,400
Speaker 1: you don't have to sign any Apparently credit card vendors

798
00:44:55,480 --> 00:44:59,520
Speaker 1: are basically acknowledging that that doesn't do anything. It doesn't

799
00:44:59,520 --> 00:45:04,120
Speaker 1: prevent fraud, and it never has and which is something

800
00:45:04,160 --> 00:45:07,399
Speaker 1: that like I always suspected, but I assumed they had

801
00:45:07,480 --> 00:45:12,360
Speaker 1: some like other reason for that existing. But is it

802
00:45:12,400 --> 00:45:15,160
Speaker 1: not for the merchant? I thought it was more protection

803
00:45:15,200 --> 00:45:19,600
Speaker 1: on the merchant of like, look, we didn't someone signed

804
00:45:19,640 --> 00:45:21,799
Speaker 1: it that way, the credit card companies don't come after

805
00:45:21,840 --> 00:45:24,440
Speaker 1: them for the fraud, right, because it would make sense

806
00:45:24,440 --> 00:45:25,919
Speaker 1: the credit card companies to be like, yeah, we don't

807
00:45:25,920 --> 00:45:27,560
Speaker 1: need you how to sign no more, so we start

808
00:45:27,560 --> 00:45:30,759
Speaker 1: getting these marches to charge back. Right. I never signed

809
00:45:30,800 --> 00:45:32,520
Speaker 1: the back of my credit card because I was just

810
00:45:32,520 --> 00:45:35,120
Speaker 1: philosophically opposed to it. I was raised with a myth

811
00:45:35,160 --> 00:45:37,080
Speaker 1: of sort of like you sign the back because that's

812
00:45:37,080 --> 00:45:39,160
Speaker 1: how they still your signature, and that's how they're going

813
00:45:39,200 --> 00:45:41,160
Speaker 1: to know how to sign your ship like you if

814
00:45:41,160 --> 00:45:43,080
Speaker 1: they ever gets your credit card. Because I think that

815
00:45:43,200 --> 00:45:45,759
Speaker 1: was an era in which, like, you know, people were

816
00:45:45,760 --> 00:45:48,680
Speaker 1: still using like the carbon paper, you know, credit card

817
00:45:48,840 --> 00:45:51,440
Speaker 1: slips and just like and then like you're filling out

818
00:45:51,480 --> 00:45:53,560
Speaker 1: the receipt like that. I guess it makes sense because

819
00:45:53,560 --> 00:45:56,279
Speaker 1: whenever I get to like an electronic keypad, like where

820
00:45:56,280 --> 00:46:00,239
Speaker 1: you slide your card and then I literally do a

821
00:46:00,320 --> 00:46:02,920
Speaker 1: circle or a line because I'm like, I've never been

822
00:46:03,000 --> 00:46:04,960
Speaker 1: someone like, excuse me, can I see your signature, sir,

823
00:46:05,360 --> 00:46:08,360
Speaker 1: I've never seen anybody matches signature. Oh I really try to.

824
00:46:08,440 --> 00:46:10,560
Speaker 1: They do with the bank. I got into a fight

825
00:46:10,600 --> 00:46:13,880
Speaker 1: at my bank because they're like, you don't sign anything

826
00:46:13,920 --> 00:46:15,640
Speaker 1: the same Ever, I was like, do people sign their

827
00:46:15,680 --> 00:46:17,719
Speaker 1: signature the same way every single time? I mean, I

828
00:46:17,719 --> 00:46:21,479
Speaker 1: always put a star in the middle because I'm extra yeah,

829
00:46:23,200 --> 00:46:27,560
Speaker 1: like this is here, y'all go because I'm no, so

830
00:46:27,600 --> 00:46:30,320
Speaker 1: I put like it's like lazy, and then the mosley

831
00:46:30,480 --> 00:46:32,759
Speaker 1: and then I take the y at the end and

832
00:46:32,920 --> 00:46:39,000
Speaker 1: circle it back to the middle and make a star. No,

833
00:46:39,120 --> 00:46:41,000
Speaker 1: it's not cute. I have horrible I think he'd writing

834
00:46:41,000 --> 00:46:43,560
Speaker 1: it a serial killer, like it's so bad and it changes.

835
00:46:43,680 --> 00:46:45,319
Speaker 1: So then the bank's always like, this is not you,

836
00:46:45,440 --> 00:46:47,440
Speaker 1: and I was like, this is me. Look at me

837
00:46:47,480 --> 00:46:49,560
Speaker 1: in my eye right and tell me this is not me.

838
00:46:49,960 --> 00:46:51,960
Speaker 1: But they made me sign several times. Once I had

839
00:46:51,960 --> 00:46:53,399
Speaker 1: to go in the bank and spent an hour. They're

840
00:46:53,440 --> 00:46:55,040
Speaker 1: just signing over and over again because they were like,

841
00:46:55,040 --> 00:46:56,879
Speaker 1: none of these are the same, right, and we've also

842
00:46:56,880 --> 00:47:00,960
Speaker 1: write in a forensic handwriting to make sure the sees you. Yeah,

843
00:47:01,200 --> 00:47:03,799
Speaker 1: and uh. Super producer Nick Stump was saying he has

844
00:47:03,840 --> 00:47:07,480
Speaker 1: the same problem as signature doesn't end up being the same. Uh,

845
00:47:07,560 --> 00:47:10,680
Speaker 1: and that that got him in trouble in Mexico, where

846
00:47:10,840 --> 00:47:14,839
Speaker 1: like he went down there with nothing but traveler's checks

847
00:47:14,840 --> 00:47:17,239
Speaker 1: and they were like, your signature doesn't look the same.

848
00:47:17,600 --> 00:47:20,560
Speaker 1: He was like, well, I'm gonna starve to death then, Uh,

849
00:47:20,680 --> 00:47:22,239
Speaker 1: I swear just don't look at me while I do it.

850
00:47:22,239 --> 00:47:24,160
Speaker 1: I bet you I can do it some traveler's checks.

851
00:47:24,239 --> 00:47:26,759
Speaker 1: That's a scam. I need to get into with the

852
00:47:26,880 --> 00:47:32,400
Speaker 1: queue on that end. Uh. Yeah. So apparently the whole

853
00:47:32,440 --> 00:47:35,440
Speaker 1: idea behind those chips, which I assumed was like a

854
00:47:35,520 --> 00:47:39,439
Speaker 1: security thing, but uh, super producer Nick Stump was saying

855
00:47:39,480 --> 00:47:43,319
Speaker 1: that that is actually to put the liability on the

856
00:47:43,400 --> 00:47:46,920
Speaker 1: store instead of the credit card company, because I guess

857
00:47:47,040 --> 00:47:50,799
Speaker 1: it pinpoints the location of the card to being there,

858
00:47:50,840 --> 00:47:53,120
Speaker 1: like you know for a fact that the card was there,

859
00:47:53,280 --> 00:47:55,439
Speaker 1: rather than something like manually punching a credit card number

860
00:47:55,440 --> 00:47:57,359
Speaker 1: with the respiration day or something. They're like, no, you

861
00:47:57,400 --> 00:47:59,839
Speaker 1: put the chip in right there in our terminal, right.

862
00:48:00,239 --> 00:48:03,000
Speaker 1: But either way, the signature part of it, I don't

863
00:48:03,000 --> 00:48:06,239
Speaker 1: know what. Maybe that was opening the credit cards up

864
00:48:06,280 --> 00:48:09,560
Speaker 1: to liability before, but uh, I don't know. I think

865
00:48:09,560 --> 00:48:11,320
Speaker 1: it's one of those things where we just got excited

866
00:48:11,320 --> 00:48:13,640
Speaker 1: about knowing we're not signing. I don't care about the

867
00:48:13,640 --> 00:48:17,080
Speaker 1: rest of the details. This is like, this is like

868
00:48:17,160 --> 00:48:22,400
Speaker 1: the when when Suddenly Susan Suddenly Susan, my favorite show

869
00:48:22,640 --> 00:48:27,480
Speaker 1: came out, and uh know when suddenly Uh airlines were like, oh, yeah,

870
00:48:27,520 --> 00:48:29,480
Speaker 1: you don't actually have to turn off your phone when

871
00:48:29,560 --> 00:48:31,920
Speaker 1: during takeoff and landing for a little while. They just

872
00:48:31,960 --> 00:48:34,440
Speaker 1: like opened they said, yeah, there was a there was

873
00:48:34,480 --> 00:48:37,520
Speaker 1: a point where like we used to have to actually

874
00:48:37,719 --> 00:48:41,080
Speaker 1: turn shipped off. You can't even have your phone on

875
00:48:41,719 --> 00:48:44,759
Speaker 1: and for an airplane mode. Well before that they were

876
00:48:44,760 --> 00:48:47,719
Speaker 1: saying you had to turn it completely at you And

877
00:48:47,760 --> 00:48:49,759
Speaker 1: then they were like, all right, we're just working around

878
00:48:49,800 --> 00:48:54,040
Speaker 1: about that, which brought about my favorite joke and Soul plane,

879
00:48:55,320 --> 00:48:57,640
Speaker 1: where's they someone tries to make a phone call, the

880
00:48:57,680 --> 00:49:04,719
Speaker 1: plane goes down. Classics Industry paid for that joke to

881
00:49:04,760 --> 00:49:08,279
Speaker 1: get written in right. See, are there other things like

882
00:49:08,400 --> 00:49:10,200
Speaker 1: that that you guys can think of that you're like,

883
00:49:10,520 --> 00:49:13,560
Speaker 1: I bet this doesn't actually need to exist or that

884
00:49:13,719 --> 00:49:18,759
Speaker 1: like the function of it doesn't totally make sense. You're

885
00:49:18,840 --> 00:49:21,319
Speaker 1: you're just waiting to for them to come out and

886
00:49:21,320 --> 00:49:26,040
Speaker 1: do it. Yeah, we're lying about the whole political system police.

887
00:49:26,680 --> 00:49:29,239
Speaker 1: You know what I'm saying. You know, you know what

888
00:49:29,239 --> 00:49:31,960
Speaker 1: I'm seeing our our two party system of government. I

889
00:49:32,000 --> 00:49:34,239
Speaker 1: don't I don't know. I'll have to do something in

890
00:49:34,320 --> 00:49:38,840
Speaker 1: my dad cameras. What do you mean I've been popped

891
00:49:38,840 --> 00:49:44,279
Speaker 1: on constitutional though them. You don't have to, they can't

892
00:49:44,280 --> 00:49:47,160
Speaker 1: come after you. I run red lights all the time.

893
00:49:48,120 --> 00:49:51,719
Speaker 1: Do stand by this as legal advice? Ye? Will? It

894
00:49:51,840 --> 00:49:54,440
Speaker 1: wasn't there a case because somebody, because they argued they're

895
00:49:54,480 --> 00:49:57,000
Speaker 1: not allowed to, they created a spray that would react

896
00:49:57,080 --> 00:49:59,879
Speaker 1: with the flash that would basically obscure the license plate.

897
00:50:00,000 --> 00:50:01,400
Speaker 1: And then like it got into this thing of like, well,

898
00:50:01,440 --> 00:50:04,400
Speaker 1: actually this praise legal because what you're doing is illegal

899
00:50:04,800 --> 00:50:07,600
Speaker 1: and we're protecting ourselves from I don't know, I'm not

900
00:50:07,719 --> 00:50:10,600
Speaker 1: exactly sure, but I do know that like I'll be

901
00:50:10,719 --> 00:50:13,919
Speaker 1: running these red license it be flash and I listen

902
00:50:13,960 --> 00:50:16,560
Speaker 1: I'm not recklessly it. Look if it's two a M

903
00:50:16,600 --> 00:50:19,440
Speaker 1: in l A and nobody's on the roll, that's like

904
00:50:19,560 --> 00:50:22,800
Speaker 1: olden times, like horse and buggy rules. I like that.

905
00:50:23,120 --> 00:50:25,880
Speaker 1: I uhould use this in court to uh my honor.

906
00:50:26,120 --> 00:50:30,480
Speaker 1: I have to my honor. Can I say something really quick?

907
00:50:30,600 --> 00:50:35,280
Speaker 1: This is like olden times, the old olden times that defense.

908
00:50:36,120 --> 00:50:39,200
Speaker 1: I have read somewhere that red light cameras cause more

909
00:50:39,280 --> 00:50:45,120
Speaker 1: accidents than they prevent because basically people, it adds a

910
00:50:45,239 --> 00:50:47,840
Speaker 1: leg in the slamming on the brakes because you have

911
00:50:48,040 --> 00:50:50,600
Speaker 1: to be like, okay, am I going to stop or go?

912
00:50:50,840 --> 00:50:53,160
Speaker 1: And your initial instinct is to go for it, but

913
00:50:53,239 --> 00:50:56,000
Speaker 1: then you remember there's a camera there, so you like

914
00:50:56,120 --> 00:50:58,480
Speaker 1: speed up, then slam on the brakes and people just

915
00:50:58,560 --> 00:51:02,399
Speaker 1: get wrecked. That exactly. That's see I'm trying to save

916
00:51:02,480 --> 00:51:05,719
Speaker 1: lives out here, exactly. Okay, Well, so do not pay

917
00:51:05,760 --> 00:51:09,080
Speaker 1: your red light camera bills. Superproducer on a. Hosnier is

918
00:51:09,200 --> 00:51:13,040
Speaker 1: letting us know that her mother designs those cameras directly

919
00:51:13,080 --> 00:51:15,879
Speaker 1: impact our family. So actually please pay everything that they say.

920
00:51:17,920 --> 00:51:21,040
Speaker 1: Yeah I won't. Yeah, but zeke Gang, I want to

921
00:51:21,080 --> 00:51:24,640
Speaker 1: hear some of your things that are like the credit

922
00:51:24,680 --> 00:51:27,160
Speaker 1: card signature that you're just waiting for the companies to

923
00:51:27,200 --> 00:51:28,520
Speaker 1: come out and be like, all right, we don't know

924
00:51:28,680 --> 00:51:35,160
Speaker 1: why we were doing this in the first place. All Right,

925
00:51:35,480 --> 00:51:39,800
Speaker 1: that's gonna do it. For this week's weekly Zeitgeist, please

926
00:51:39,960 --> 00:51:43,239
Speaker 1: like and review the show. If you like the show,

927
00:51:43,840 --> 00:51:48,200
Speaker 1: uh means the world to Miles. He needs your validation. Folks.

928
00:51:48,840 --> 00:51:51,920
Speaker 1: I hope you're having a great weekend and I will

929
00:51:51,960 --> 00:51:53,239
Speaker 1: talk to you Monday. By