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

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

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Speaker 1: this week, all edited together into one NonStop infotainment last stravaganza.

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Speaker 1: Uh yeah, So, without further ado, here is the Weekly Zeitgeist.

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Speaker 1: What's something for your search history? It's reeling bad who

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Speaker 1: you are? Yeah, I'm gonna pass on this segment because,

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Speaker 1: um in my search history, this is very insider um

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Speaker 1: Ivan kuriz Lavik Australia's got talent, okay, insider for who

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Speaker 1: if you watch for Australia, if you watch Bachelor in

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Speaker 1: Paradise Australia or The Bachelor at Australia. Um so there's

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Speaker 1: this guy who's on the hose on Bachelor Australia first

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Speaker 1: and then he went to b I P Bachelor in

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Speaker 1: Paradise for me. You know, now you put your answers

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Speaker 1: in the dock? Are you misspelling his name? No, that's

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Speaker 1: his name. That's just that's another less so many consonants

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Speaker 1: in a row. He's about six seven. Name try some

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Speaker 1: culture jack, but he's he's a he's about six seven

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Speaker 1: and he considers himself the Channing Tatum of Australia in

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Speaker 1: the sense that he's like like a Magic Mike style dancer.

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Speaker 1: He's a six seven stripper. Well, he's not a stripper.

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Speaker 1: He's just more like like his dream is to be

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Speaker 1: like a step up dancer. What do you mean like

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Speaker 1: step up the movie Channing Tatum. Yes, he wants to

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Speaker 1: just be like a fucking like popping lock and he

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Speaker 1: is one. But he's the corniest one I've ever seen

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Speaker 1: in my life, and he uses it. He'll be like,

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Speaker 1: for one in the Bachelorette, he'd be like, girl, I

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Speaker 1: actually did I did a routine for you if you

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Speaker 1: could just like it. They're all dance for you, and

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Speaker 1: most of the time he's dancing to no music and

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Speaker 1: it's insane. And then like in Bachelor in Paradise, he's

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Speaker 1: like so frustrated with this situation with this girl and

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Speaker 1: this guy. Like he's like in like this guy's like

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Speaker 1: I want to ask out your girl, and he's like,

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Speaker 1: you're my friend, man, And then he goes, he's like,

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Speaker 1: just I need a minute. I just need to go

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Speaker 1: like dance this off. And he goes and he's got

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Speaker 1: headphones on and he's like dancing by himself in front

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Speaker 1: of like a sonset. It's the the most insane thing

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Speaker 1: I've ever seen, like beautiful, and he truly believes he's

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Speaker 1: the most suave, like badass dancer. Like he's like told

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Speaker 1: the girl, like, I need about five years, right in

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Speaker 1: five years, I'm gonna or not even like five years.

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Speaker 1: I think at that time it was like a few

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Speaker 1: years ago. He's like, give me a few years. I

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Speaker 1: will be channing Tatum. First you have to go to

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Speaker 1: Atlanta because all the dancers go to Atlanta, and then

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Speaker 1: I will have made it. I don't know, I don't

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Speaker 1: know where the dancing, and I will be making dollars

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Speaker 1: a year. Yeah, exactly, And um yeah, apparently when on

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Speaker 1: Australia's got talent and the clip it's wild. I mean

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Speaker 1: he's got talent, but he's a six seven dancer. So

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Speaker 1: he just looks like yeah, like he just looks like

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Speaker 1: he's he knows how to do the moves, he just

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Speaker 1: can't put he like puts them together in a weird way. Well,

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Speaker 1: I'll show you guys a video. It's just very um

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Speaker 1: it kills me. And if it's not motivated by the

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Speaker 1: music like the Australians, No, he's definitely motivate. You'll see,

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Speaker 1: I'll show I'll put in the footnotes so you guys

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Speaker 1: can really watch this. It's kind of amazing, Like because

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Speaker 1: speaking of foot foot loose, Kevin Bacon's character at one point,

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Speaker 1: at one point, thank you. At one point he like

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Speaker 1: goes into a warehouse and like because he's mad and

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Speaker 1: like just dances dances at all. And I never thought that, Like,

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Speaker 1: I this is the first I've ever heard of that

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Speaker 1: actually happening. But he probably saw it, and he's like,

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Speaker 1: that's that's what you get off some steam. That's a movie.

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Speaker 1: And he Yeah, Also, Kevin Bacon is dancing most of

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Speaker 1: the time, to know music because the music is in

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Speaker 1: his car. One of the clearest pieces of evidence. So

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Speaker 1: that's something that I look at every every now and then.

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Speaker 1: I think I've talked about the fact that I am

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Speaker 1: on the breit Bart News mailing list just to kind

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Speaker 1: of keep an eye on on what they're up to. Uh,

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Speaker 1: and a lot a lot of the emails are just

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Speaker 1: scam emails. Just here's what I got the other day,

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Speaker 1: a special message from Bill O'Reilly, picture of Bill O'Reilly

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Speaker 1: with a silver coin, like a giant silver coin behind him, uh,

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Speaker 1: and it says, dear fellow Americans. Some experts say our

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Speaker 1: recession could be on the way. With all the turbulence

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Speaker 1: in the world, it's important to consider putting a portion

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Speaker 1: of what you have earned into an asset that is

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Speaker 1: historically safe gold and silver. Uh So, these are like

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Speaker 1: these old person like financial scams, Like they're just looting

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Speaker 1: the elderly, essentially, because that's who's who watches them. I

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Speaker 1: just found a website called Bill O'reiley's Precious Metals, and

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Speaker 1: it sounds like he has a whole career in getting

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Speaker 1: you to invest in gold. Also yea, also sounds like

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Speaker 1: it was written by like an angry ex wife. Bill

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Speaker 1: o'riley's Precious Medals, Uh so precious he forgets his anniversary.

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Speaker 1: There's also an article in The New Republic recently about neutraceuticals,

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Speaker 1: and it asks the question why this scam? Right? Why?

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Speaker 1: Why are they so good at making you have amazing

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Speaker 1: brain power that lasts all day? I know? Why? Why

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Speaker 1: are all the top sellers of neutraceuticals right wing media?

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Speaker 1: I didn't as Joe Rogan is a nutraceutical guy. That

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Speaker 1: makes sense. Yeah, yeah, I just didn't think he was that, Yeah,

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Speaker 1: I think it's because, like I think inherently right, like

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Speaker 1: a lot of conservatives already have this feeling of like

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Speaker 1: waning power, so like anything that's like hey, man, fucking

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Speaker 1: let's go back to caveman fucking times. Fucking bodies were

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Speaker 1: robust and powerful. Well, but they were talking about the

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Speaker 1: fact that, like some of some of the images on

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Speaker 1: the nutraceutical like marketing material are actually like an exact

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Speaker 1: match of like a drawing from Marxist material about what

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Speaker 1: capitalism was going to do to us, Like it has

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Speaker 1: like gears and stuff, and like it's basically a human

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Speaker 1: turning into a machine. Automaton, Yeah, and automaton like just

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Speaker 1: how you know you're gonna lose your humanity And these

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Speaker 1: nutraceutical like marketing materials are people doing that, and they're like,

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Speaker 1: you're gonna be so sick, You're gonna be a fucking machine,

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Speaker 1: brocking capitalist machine. Man. I mean, that's they want us

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Speaker 1: to lose our humanity. So Marx was warning that that

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Speaker 1: will happen if we go further down the road of capitalism,

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Speaker 1: and then happen, and it's happening. They're they're bragging about

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Speaker 1: it with the neutraceuticals, and uh, it's basically one of

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Speaker 1: one of the theories put forward by the article is that,

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Speaker 1: you know, the reason it's the right wing thing is

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Speaker 1: because it's all about making you a better capitalists like

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Speaker 1: money making machine. And you know, when you think about it,

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Speaker 1: it's a pretty bleak ethos Like the America American right

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Speaker 1: wingers are basically like, it's a meritocracy and if you're

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Speaker 1: not making money, that's on you, bro, and like, yeah,

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Speaker 1: you gotta make yourself better earner for your family or

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Speaker 1: you're a fucking loser. And so, like one of the

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Speaker 1: people in the article said, like, the left wing is

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Speaker 1: a little bit more skeptical about the relationship between labor

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Speaker 1: and employer, and so they wouldn't take as kindly to

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Speaker 1: a product that is all about like making you better employees, right, right,

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Speaker 1: that's why we're like, let's smoke weed and be fucked

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Speaker 1: up at work. Yeah, I guess you're right in here.

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Speaker 1: But the left, on the left wing, the people who

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Speaker 1: sell this bullshit Gwyneth Paltrow, Yeah, there's only one, and

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Speaker 1: it's Gwyneth Paltrow. And I guess it's all different versions, right,

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Speaker 1: because I guess the other like the holistic you know,

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Speaker 1: pseudoscience stuff is the like the left version of nutraceuticals,

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Speaker 1: but it's like for a much more like you know,

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Speaker 1: it feels more fantastic and whimsical. H you want to

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Speaker 1: know what Gwyneth Paltrow's uh neutraceutical is called, but nerd alert. No,

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Speaker 1: it isn't, yes, because it's like, oh, you want to

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Speaker 1: use your brain, nerd, Well, this will make you more

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Speaker 1: alert dork. I like the rights version is fucking crave

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Speaker 1: man power, Like I think that was one of the

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Speaker 1: Alex Jones one, like Caveman brainforce or something. And then

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Speaker 1: this fucking nerd a lern nerd alert squirrel ork. You

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Speaker 1: want to do? You want to do good at work?

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Speaker 1: You nerd. Anyways, let's talk about insurance companies. Guys. This

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Speaker 1: is they get a bad rap. Yeah, let's let's leave

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Speaker 1: them alone. State Farm Farmers Erie, which is apparently a

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Speaker 1: car ensure. So there's an article in BuzzFeed. Uh, it's

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Speaker 1: actually BuzzFeed News. That's an investigative report where it looks

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Speaker 1: into this practice. It feels a little bit like the

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Speaker 1: relationship between doctors and pharmaceutical companies. It's the relationship between

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Speaker 1: local police forces and insurance companies. Basically, you know, insurance

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Speaker 1: companies are these huge, multibillion dollar companies, so in America

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Speaker 1: they're going to have a shipload of power. And in

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Speaker 1: the early nineties they made a couple of changes, so

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Speaker 1: they realized that they were losing money to fraud claims.

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Speaker 1: There a study came out that said one into and

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Speaker 1: insurance claims was fraud. Experts think that is a wild

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Speaker 1: over exaggeration, but they still like that was what they

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Speaker 1: didn't give their just ten percent, they say, is probably

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Speaker 1: not true. Copies are a scam, right, It's an internal

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Speaker 1: study for the insurance and just yeah, so to address

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Speaker 1: that problem and it's succeeded. It's made them like way

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Speaker 1: more profitable. They did two things. They pushed this legislation

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Speaker 1: where people aren't able to sue insurance companies who accuse

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Speaker 1: them of fraud. So basically they can accuse people of

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Speaker 1: fraud and you know, basically bankrupt people like a lot

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Speaker 1: a lot of people end up like homeless or uh,

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Speaker 1: you know, just you know, out on their yeah, death

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Speaker 1: by court fees. You know, if you're a contractor, then

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Speaker 1: like being accused of insureance fraud, which is one of

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Speaker 1: the stories they tell, like the person lost his job

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Speaker 1: and like lost all this work. He had like fifty

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Speaker 1: employees and he had to fire most of them. But

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Speaker 1: because he was wrongly accused of fraud, because he was

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Speaker 1: wrongly accused of fraud, because what was the claim that

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Speaker 1: he had, and they're like, no, that's fraud. The way

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Speaker 1: he worked was people would come to him to fix stuff,

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Speaker 1: and the reason he was really popular is because he

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Speaker 1: would deal with the insurance companies. Basically go and adjudicate

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Speaker 1: the situation with the insurance companies, and he had a

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Speaker 1: relationship with them, so you know, he figured he could

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Speaker 1: do it more effectively than like letting the people themselves

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Speaker 1: deal with the insurance companies. But because he was, you know,

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Speaker 1: getting paid out on so many insurance claims, uh, the

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Speaker 1: insurance companies were like, this is not good. This is

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Speaker 1: a money loser for us, So let's take this guy down.

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Speaker 1: And so they wrong accused him fraud and then they're

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Speaker 1: wrongly accused him of fraud and they in some cases,

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Speaker 1: the insurance companies are providing the evidence to the police

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Speaker 1: officers and like it's a report on like arson or something,

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Speaker 1: they'll be like, yeah, this there's traces of gasoline and

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Speaker 1: fire accelerants in this uh fire, Like you need to

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Speaker 1: like accuse this guy he he started the charge or something.

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Speaker 1: Yeah for all but there but these like the the

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Speaker 1: evidence that they're providing them is coming from their own

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Speaker 1: like from their own yeah, and it's not from a

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Speaker 1: fucking even law enforcement investigation, like hey, we say there's

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Speaker 1: proof of this. So the other thing the insurance companies

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Speaker 1: are doing is their subsidizing local law enforcement. Uh, they're

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Speaker 1: giving them money to hire investigators for insurance fraud because

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Speaker 1: it used to be a thing that like law enforcement

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Speaker 1: just didn't have the bandwidth for. So like when an

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Speaker 1: insurance fraud claim came in, they were like, well, we

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Speaker 1: don't really have the time or energy. So the insurance

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Speaker 1: industry started investing in these investigators and like providing law

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Speaker 1: enforcement with them. And it became this like cozy like

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Speaker 1: pay for play, Like we give your police department like

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Speaker 1: a bunch of money and allow you to hire these

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Speaker 1: investigators and in return, like you use our data, you

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Speaker 1: to charge these people, you help us charge these people

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Speaker 1: with fraud. And it's just it's really like they don't

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Speaker 1: have a lot of stats, but it seems like there's

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Speaker 1: a lot of false positives. An expert on the situation said,

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Speaker 1: it's kind of the equivalent of tuna nets catching dolphins.

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Speaker 1: It's like, yeah, you're gonna catch some fraudulent claims, but

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Speaker 1: you're also catching a lot of real people, and you're

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Speaker 1: like destroying honest people who spent money and like to

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Speaker 1: trust your company to be ensured. And then just because

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Speaker 1: they're like we're losing money, we're gonna accuse you of

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Speaker 1: fraud and are they just like celebrating. Yeah. Yeah, So

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Speaker 1: people are then losing their job because they're arrested like this.

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Speaker 1: On this one woman, like she wasn't even a contractor.

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Speaker 1: It had nothing to do with her job. She worked

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Speaker 1: at Walmart, but a house she was renting burned down.

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Speaker 1: They arrested her for like arson, for arson. She was

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Speaker 1: facing twenty years in prison. And then she just like

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Speaker 1: desperately wrote all these letters to any lawyer who would

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Speaker 1: take her case pro bono. Was like, I'm like out

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Speaker 1: of options. I'm gonna go to jail if you don't

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Speaker 1: help me. This lawyer just out of the kindness of

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Speaker 1: his heart took her case and found that they were

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Speaker 1: using like I said earlier, they were using a study

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Speaker 1: by the insurance company that just was provided to them,

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Speaker 1: and it was bullshit. It was like based on faulty science.

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Speaker 1: And her case was thrown out. But she's still homeless

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Speaker 1: from all the you know, losing her job. But they

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Speaker 1: still didn't pay out. I don't think they did. No. Yeah,

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Speaker 1: so they didn't pay out and she's right destitute, has nothing. Yeah.

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Speaker 1: There's one instance. So this guy who was clearing all

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Speaker 1: the claims because he was a big contractor and I

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Speaker 1: think the Indiana area. The thing like ultimately like caused

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Speaker 1: them to really get pissed at him was this big

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Speaker 1: hail storm that had like just damaged all these people's

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Speaker 1: homes and cars, and he, you know, was doing a

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Speaker 1: lot of repairing and getting paid by the insurance companies,

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Speaker 1: and like State Farm head an investigator like go after

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Speaker 1: him on all these different fraud claims, and when they

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Speaker 1: got him arrested, the guy, the State Farm guy sent

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Speaker 1: around a drawing of a stick figure getting raped in

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Speaker 1: prison and was like hot like celebrating the fact that

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Speaker 1: he got this guy arrested. It turned out to be

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Speaker 1: falsely accused. Uh, he was facing like a lot of

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Speaker 1: jail time because of this work. And that guy who

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Speaker 1: sent around that drawing like one an award for being

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Speaker 1: the best like insurance fraud investigator in the country. So

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Speaker 1: it's like this is happening, and that's like them thinking

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Speaker 1: that the system is working. I wonder if they're like

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Speaker 1: the avid and say gave it was like, yeah, look,

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Speaker 1: obviously I don't even know what hal is. I'm here

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Speaker 1: to debate if what is hale? Like, yeah, there are

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Speaker 1: these dents. I don't see where it came from. Yeah,

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Speaker 1: but I mean, it's just how American capitalism works. And

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Speaker 1: like the way that this story came about. This is

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Speaker 1: one of those investigative reports where they were like, if

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Speaker 1: you have a story, just like email it to us,

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Speaker 1: and so they just enough people had emailed them too

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Speaker 1: for them to be like, Okay, it seems like there

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Speaker 1: might be a thing here because otherwise, like you just

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Speaker 1: don't find out about this. It's just like a consumer

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Speaker 1: advocacy story. But consumers get fucked by multibillion dollar companies

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Speaker 1: like they don't they It's just such a mismatch in

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Speaker 1: America because you know, for the same reason that we're

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Speaker 1: allowed to drink Mountain dew uh, and you know the

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Speaker 1: European Union is not because the PEPSI corporation has a

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Speaker 1: shipload of money and let us poison people. Yeah, let

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Speaker 1: us poison people because this thing is delicious. And did

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Speaker 1: any of these insurance companies like comment back about this,

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Speaker 1: like did they? Yeah, they just deny it. Yeah. So

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Speaker 1: is there any way like how do the what how

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Speaker 1: does the pendulum swing the other way? So the insurance

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Speaker 1: companies are accountable or this is one of those things

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Speaker 1: where they're like, we just need to drop people's attention

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Speaker 1: to this practice industry. It didn't seem like they were

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Speaker 1: referring to many other like mainstream media reports on this.

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Speaker 1: So I think I think because they're commercially these more

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Speaker 1: advertising them. Right, So I think people need to like

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Speaker 1: really kind of push for some sort of reform. Uh.

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Speaker 1: Like I think the main thing they need is because

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Speaker 1: the insurance company has been like doing this for years

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Speaker 1: and because they have so much money to pay lawyers.

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Speaker 1: All fifty states have these laws where people aren't allowed

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Speaker 1: to sue them if they're accused of fraud wrongly. So

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Speaker 1: if your life is ruined because human insurance claim, there's

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Speaker 1: no way to super damage to super damages at all. Um.

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Speaker 1: The one thing that is interesting about that Buzzfeled article

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Speaker 1: is that when you get to the end, it actually

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Speaker 1: tells you which Harry Potter character each in the Rider is.

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Speaker 1: And I thought that was really interesting. Yeah, yeah, I was.

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Speaker 1: I was surprised by you know, they're all slithering and

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Speaker 1: turns out, umf we'll hopeful puff too. My fear. It's

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Speaker 1: gonna happen to me, but you know it can happen

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Speaker 1: to literally any of us. That sucks so bad. Yeah,

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Speaker 1: I don't get especially well you you do a bit

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Speaker 1: in the office where you keep saying you're got an

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Speaker 1: injury at work, and that happen. Well, you know, I

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Speaker 1: have some investigators who may want to talk to you. Alright,

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Speaker 1: we're going to take a quick break. We'll be right back,

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Speaker 1: and we're back. I don't know if I even want

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Speaker 1: to do this next story. It really fucked me up. Uh.

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Speaker 1: But guys were apparently not allowed to put Q tips

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Speaker 1: in our ears anymore. We've known that forever, I know,

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Speaker 1: so I've been hearing that like it's been a small

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Speaker 1: background like chatter because you can't hear it due to

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Speaker 1: all the wax. As you impacted more. That's the thing.

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Speaker 1: It's like, that's like the thing that came out that

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Speaker 1: we were like, no, yeah, it's the thing. We're like, okay, doctor, right,

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Speaker 1: I remember. It wasn't flossing the other one where it's like,

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Speaker 1: you know, it's fine and people like, well, we're still

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Speaker 1: doing it. Wait. Really yeah, there was a whole thing

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Speaker 1: about flossing like like wasn't you know, I mean, it

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Speaker 1: was beneficial, but not in the way that like the

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Speaker 1: dental industry was telling us. So this is there's a

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Speaker 1: Gizmoo article called is cleaning your ears with cotton swabs

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Speaker 1: really that dangerous? I'm gonna be honest with you. I

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Speaker 1: fully clicked on that because I expected the answer to

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Speaker 1: be like nah, the way the headline is written, right,

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Speaker 1: you're expecting it to be like, no, it's actually fine,

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Speaker 1: it's not as bad. Uh, And like it is. There's

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Speaker 1: a real life horror tale that they start things kick

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Speaker 1: things off with because a woman her skull got infected

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Speaker 1: from basically using a Q tip improperly. You're just they're

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Speaker 1: just like, you should never ever stick anything into your head. Yeah,

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00:20:15,160 --> 00:20:20,840
Speaker 1: your ears are incredibly delicate, like compared to your other

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Speaker 1: bodily orifices and you just like aren't supposed to be

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00:20:23,640 --> 00:20:27,919
Speaker 1: putting anything in there. Also, don't funk with ear candling.

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00:20:28,680 --> 00:20:34,000
Speaker 1: Apparently that's not good. But why is it not good?

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Speaker 1: I think just generally it's like it can puncture your

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Speaker 1: ear drum, like just putting stuff in. It's like you

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Speaker 1: put a candle in your ear and the like lit

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Speaker 1: and basically like pulls like creates like a suction. I

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Speaker 1: think it draws the ear wax out of the ear

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Speaker 1: wax out you see it. I saw it the first time,

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Speaker 1: like in like India or something. That's crazy. I've never

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Speaker 1: even I don't even know anything about that. I one

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Speaker 1: time had I thought I was going deaf in college,

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Speaker 1: but it was just a wax build up in one

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Speaker 1: of my ears. Had you been, I mean probably I'm

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Speaker 1: a normal person. I'm a human being. You don't use pens,

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Speaker 1: so it had been impacted in there. I don't know,

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Speaker 1: but it was really weird. And they had to use

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Speaker 1: one of those like like those water guns in my

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Speaker 1: ear right right. Well. First they had me put or

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Speaker 1: something you know, like the vitamin is vitamin eat the

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Speaker 1: fish oil. I don't know those like fish oil tablets

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Speaker 1: they prescribed as me there like pop them open and

359
00:21:30,560 --> 00:21:34,240
Speaker 1: then pour those in your ears. Yeah, and then it

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Speaker 1: created up. It turned into my like the wax into

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Speaker 1: a giant wax ball. And then they came back a

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Speaker 1: week later and they like power shot my ear with

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Speaker 1: like a water gun pressure washer. So that's something you

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00:21:46,880 --> 00:21:49,520
Speaker 1: can do at home, guys, just fire pressure washer. It

365
00:21:49,640 --> 00:21:54,240
Speaker 1: was pretty intense. It came out and the wax ball

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Speaker 1: was so big. It was just well, okay, it's in

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Speaker 1: a glass case for history, but it was it was insane.

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Speaker 1: I was like, how is that in my ear? And

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Speaker 1: my doctor was like next, So I didn't really get

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Speaker 1: an answer. So as I was reading it, I was like, damn,

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Speaker 1: is this true? And then a lot of people are like, yeah,

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Speaker 1: like if you if some people like they say, just

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Speaker 1: simply the water rushing from a shower will be able

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Speaker 1: to take it out. And also the way that your

375
00:22:21,400 --> 00:22:25,640
Speaker 1: skin grows in your ear can like actually just bring

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00:22:25,720 --> 00:22:28,399
Speaker 1: the wax out naturally. Yeah, they say, like the movement

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00:22:28,400 --> 00:22:31,440
Speaker 1: of your jaw from like talking and chewing like like

378
00:22:31,640 --> 00:22:34,680
Speaker 1: gently like kind of works the wax out of your ear.

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Speaker 1: Grinding your teeth while you sleep, Does that help I

380
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Speaker 1: don't know. I you know, I've actually still used Q

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Speaker 1: tips and um no I do too. I don't. Yeah,

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Speaker 1: I don't think I'm going to stop. But despite this,

383
00:22:46,760 --> 00:22:51,320
Speaker 1: dude jack skull infection. Yeah, I don't know. Man, it's

384
00:22:51,320 --> 00:22:56,560
Speaker 1: it's one skull infection. Uh and hours of pleasure. So

385
00:22:57,200 --> 00:22:59,600
Speaker 1: is it pleasurable for you to Yeah, it's really pleasurable.

386
00:23:00,080 --> 00:23:05,760
Speaker 1: Clean business, get no pleasure. You fucking no music on,

387
00:23:05,920 --> 00:23:08,439
Speaker 1: no nothing, You're doing the dark. You're like, no, I'm in,

388
00:23:08,520 --> 00:23:11,520
Speaker 1: I'm fucking out. Well, yeah I was. That was It

389
00:23:11,560 --> 00:23:14,120
Speaker 1: was weird to like read from numerous like health things

390
00:23:14,119 --> 00:23:17,199
Speaker 1: where it's like, yeah, I mean you could, but if

391
00:23:17,200 --> 00:23:19,720
Speaker 1: you really if they're saying, if your wax build up

392
00:23:19,800 --> 00:23:22,320
Speaker 1: is like pretty significant, then you'ah, going to a doctor

393
00:23:22,440 --> 00:23:26,320
Speaker 1: is probably the best option to protect yourself. But yeah,

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00:23:26,359 --> 00:23:28,480
Speaker 1: it's just like I don't go to the doctor for

395
00:23:28,560 --> 00:23:31,520
Speaker 1: a lot of stuff. Yeah, you know, that just seems

396
00:23:31,520 --> 00:23:38,040
Speaker 1: like number one. Um, if you guys can see in

397
00:23:38,119 --> 00:23:45,399
Speaker 1: Japan though, like that really getting pretty cheesy, dude, the

398
00:23:45,760 --> 00:23:49,880
Speaker 1: like in Japan, he's like a bamboo pick like yeah, yeah,

399
00:23:49,920 --> 00:23:53,320
Speaker 1: like where it looks like a fucking like cokespoon basically

400
00:23:53,400 --> 00:23:56,800
Speaker 1: and like, that's how you take your your ear wax.

401
00:23:56,960 --> 00:24:00,240
Speaker 1: That's safer than a that's like I feel like, that's like,

402
00:24:00,240 --> 00:24:04,520
Speaker 1: I don't anything fully funck your ear. And I remember

403
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Speaker 1: my mom when I was a kid, whenever she was

404
00:24:06,920 --> 00:24:08,320
Speaker 1: trying to clean my ear with that, I was like,

405
00:24:08,840 --> 00:24:10,960
Speaker 1: like I didn't read because it was I could hear it,

406
00:24:11,040 --> 00:24:13,800
Speaker 1: just like fucking scraping in my ear. And then she's

407
00:24:13,800 --> 00:24:16,480
Speaker 1: like American people have different ear wax and Asian people.

408
00:24:16,680 --> 00:24:18,439
Speaker 1: She's like, you have your dad's your wax. I'm like,

409
00:24:18,480 --> 00:24:21,159
Speaker 1: what the fun Well, there are different types of but

410
00:24:21,160 --> 00:24:24,439
Speaker 1: I don't think it's racial. You know, it's all timmey racism.

411
00:24:25,119 --> 00:24:27,679
Speaker 1: We should do a segment called mom myths, right, like

412
00:24:27,760 --> 00:24:33,360
Speaker 1: things your mom and dads to like your stuff. But yeah,

413
00:24:33,480 --> 00:24:36,879
Speaker 1: wet first, dry ear wax doesn't matter. You're not supposed

414
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Speaker 1: to clean it out, and I will continue to do

415
00:24:39,119 --> 00:24:42,960
Speaker 1: so and probably go deaf. What is something you think

416
00:24:43,040 --> 00:24:45,760
Speaker 1: is underrated? I'm gonna stay with cars, and I'm gonna

417
00:24:45,800 --> 00:24:51,520
Speaker 1: go with automated car washes. Automated car washes are amazing.

418
00:24:52,000 --> 00:24:55,359
Speaker 1: I was just trying to also do that this weekend. Yeah,

419
00:24:55,640 --> 00:24:57,879
Speaker 1: we're on the same wave length. Wait, so describe the

420
00:24:57,920 --> 00:25:00,399
Speaker 1: automated kind of car wash you're talking about. Well, mine

421
00:25:00,520 --> 00:25:03,760
Speaker 1: personally in my neighborhood, it's like thirteen bucks for a

422
00:25:03,800 --> 00:25:07,119
Speaker 1: for a super wax car wash, you know, super wax.

423
00:25:07,200 --> 00:25:09,600
Speaker 1: You put it in neutral, you line up to that thing.

424
00:25:09,720 --> 00:25:12,960
Speaker 1: There's there's a little bit of theater and anticipation leading

425
00:25:13,040 --> 00:25:15,040
Speaker 1: up to it. You know, you gotta push in your mirrors,

426
00:25:15,200 --> 00:25:18,160
Speaker 1: you know, lower right right now, you know, and then

427
00:25:18,240 --> 00:25:22,600
Speaker 1: you just get whacked by those yeah plastic things and

428
00:25:22,640 --> 00:25:26,159
Speaker 1: there's bubbles. It's like a sensory overload. Yeah, and it

429
00:25:26,200 --> 00:25:27,600
Speaker 1: takes me back to when I was a kid and

430
00:25:27,640 --> 00:25:29,440
Speaker 1: going through car wash. So it's one that you get

431
00:25:29,480 --> 00:25:32,560
Speaker 1: to sit inside the car, supposed to have to leave

432
00:25:32,640 --> 00:25:35,560
Speaker 1: the car, yeah, just like yeah, and then you're out.

433
00:25:35,800 --> 00:25:37,280
Speaker 1: There's places in l a where you have to wash

434
00:25:37,320 --> 00:25:40,160
Speaker 1: your own car, Like, what's what's the price for three bucks?

435
00:25:40,160 --> 00:25:43,160
Speaker 1: You get six minutes? Yeah, the coin operator ones. Yeah,

436
00:25:43,200 --> 00:25:45,359
Speaker 1: Like I understand like paying a guy to do it,

437
00:25:45,480 --> 00:25:47,800
Speaker 1: that's fine, you know, I'm willing to do that. But

438
00:25:47,840 --> 00:25:49,919
Speaker 1: I love to sit in the car and watch the

439
00:25:49,920 --> 00:25:56,160
Speaker 1: show you listen to uh just uh you know psychedelic rock. Yeah,

440
00:25:57,640 --> 00:26:00,399
Speaker 1: little Moody blues or you know, get your sits are

441
00:26:00,440 --> 00:26:06,680
Speaker 1: out and play along. That guy's right right, it's yeah.

442
00:26:06,720 --> 00:26:09,120
Speaker 1: I was looking at my car was still is filthy

443
00:26:09,280 --> 00:26:10,840
Speaker 1: if I just hosted it off instead of getting a

444
00:26:10,840 --> 00:26:13,040
Speaker 1: car washed, because I don't believe in car washes anyway,

445
00:26:13,240 --> 00:26:15,320
Speaker 1: I was looking for one, and the few that I

446
00:26:15,359 --> 00:26:17,919
Speaker 1: looked at the reviews they scared me away because like

447
00:26:18,200 --> 00:26:21,439
Speaker 1: the buffing thing ripped off my windshield wipers and they

448
00:26:21,440 --> 00:26:23,760
Speaker 1: acted like nothing happened, or like I don't know what

449
00:26:23,800 --> 00:26:26,760
Speaker 1: happened to my door, And I was like, wait, the

450
00:26:26,840 --> 00:26:29,760
Speaker 1: door was missing somehow, like something happened where like there

451
00:26:29,800 --> 00:26:32,800
Speaker 1: was clearly scrape scrapes along the thing where maybe the

452
00:26:33,480 --> 00:26:37,000
Speaker 1: spinning scrubber thing may have damaged like the paint. But

453
00:26:37,040 --> 00:26:38,680
Speaker 1: that's when also like I had to do that thing

454
00:26:38,680 --> 00:26:40,440
Speaker 1: of like how much of this is an actual you'll

455
00:26:40,480 --> 00:26:43,160
Speaker 1: review and how much is someone projecting their own anger

456
00:26:43,280 --> 00:26:47,240
Speaker 1: onto the automated car wash. Long story short, their car

457
00:26:47,320 --> 00:26:50,119
Speaker 1: was probably so dirty they couldn't see the scratches before

458
00:26:50,440 --> 00:26:53,520
Speaker 1: before they were like what do you do in my car? Man?

459
00:26:53,800 --> 00:26:56,920
Speaker 1: They're like, my car is white. Changed the whole paint

460
00:26:56,960 --> 00:27:00,080
Speaker 1: in my car Man went from cream to white and

461
00:27:00,080 --> 00:27:03,600
Speaker 1: I'm sure Triple A says don't wash your car you

462
00:27:03,680 --> 00:27:07,240
Speaker 1: never know, you can't trust it. But I like it. Yeah,

463
00:27:07,520 --> 00:27:10,040
Speaker 1: I just had. I only went. I remember as a kid,

464
00:27:10,080 --> 00:27:12,600
Speaker 1: I very vivid of like begging to go through a

465
00:27:12,680 --> 00:27:14,919
Speaker 1: drive through car wash? Did it? Maybe? Once I hear

466
00:27:14,960 --> 00:27:21,040
Speaker 1: it's safer to go through backwards? Actually, so weight Watchers

467
00:27:21,560 --> 00:27:26,720
Speaker 1: is still a thing. Uh. And although they have rebranded

468
00:27:26,760 --> 00:27:32,600
Speaker 1: themselves w w oh great, yeah, because that that's not

469
00:27:32,680 --> 00:27:38,080
Speaker 1: confusing to anyone. Double dubs, yeah, double dubs. But they

470
00:27:38,160 --> 00:27:42,520
Speaker 1: last week launched a new app called Curbo. Kay, you

471
00:27:42,800 --> 00:27:46,240
Speaker 1: are b oh like Turbo with a k oh, Dude.

472
00:27:46,240 --> 00:27:48,040
Speaker 1: I don't even know why that's so funny to me.

473
00:27:48,119 --> 00:27:51,879
Speaker 1: That's the worst fucking names. That's like your nickname for

474
00:27:51,920 --> 00:27:57,960
Speaker 1: a dude named Kirby. Yeah, Curbo, Yeah, Curbo the puck Meister.

475
00:27:59,000 --> 00:28:02,880
Speaker 1: It is a weight us app four children as young

476
00:28:03,000 --> 00:28:06,600
Speaker 1: as eight years old. I'm sorry to be used by children, yes,

477
00:28:06,640 --> 00:28:10,560
Speaker 1: to be used by children are children? Uh? Just everything

478
00:28:11,119 --> 00:28:13,800
Speaker 1: about this is depressing. So it starts out like at

479
00:28:13,800 --> 00:28:19,000
Speaker 1: the very inception as kind of having the gloss of science,

480
00:28:19,080 --> 00:28:23,720
Speaker 1: because it was a app that was developed by Stanford

481
00:28:23,800 --> 00:28:30,280
Speaker 1: University's Pediatric Obesity program, which sounds scientific and professional and

482
00:28:30,320 --> 00:28:34,919
Speaker 1: there is an obesity problem in America and presumably in

483
00:28:34,960 --> 00:28:39,840
Speaker 1: America's children. But from there it just gets really weird

484
00:28:39,880 --> 00:28:43,120
Speaker 1: with like some of that involves like they ask why

485
00:28:43,160 --> 00:28:46,760
Speaker 1: you're doing this, and like your goals can be to

486
00:28:46,880 --> 00:28:51,080
Speaker 1: lose weight to please my parents. And the website features

487
00:28:51,120 --> 00:28:54,320
Speaker 1: before and after photos of once chubby kids who are

488
00:28:54,360 --> 00:28:58,720
Speaker 1: now thin, and that's in quotes. The page also includes

489
00:28:58,800 --> 00:29:02,920
Speaker 1: the fine print result there not typical, and yeah, it

490
00:29:03,080 --> 00:29:05,880
Speaker 1: just all kind of points the idea that thinness is

491
00:29:05,920 --> 00:29:10,040
Speaker 1: the ideal standard. It's designed to promote not like health,

492
00:29:10,640 --> 00:29:14,400
Speaker 1: but like because you weigh in by like tracking your

493
00:29:14,440 --> 00:29:18,440
Speaker 1: measurement and like setting goals. There are things where it's

494
00:29:18,480 --> 00:29:21,520
Speaker 1: like it groups foods into red groups, yellow groups, and

495
00:29:21,560 --> 00:29:25,520
Speaker 1: green and it's like trying to eat more green less red. Uh,

496
00:29:25,560 --> 00:29:28,760
Speaker 1: And you know that could be a useful thing to

497
00:29:29,200 --> 00:29:34,240
Speaker 1: like get promote kids eating healthily, right, but it's it

498
00:29:34,400 --> 00:29:38,280
Speaker 1: just has all these other places where it's sort of gamifies,

499
00:29:38,440 --> 00:29:41,680
Speaker 1: like weight loss right and visualizing. It's like you're this,

500
00:29:41,960 --> 00:29:43,800
Speaker 1: but you want to be this, which is why you

501
00:29:43,840 --> 00:29:46,560
Speaker 1: need curb. Oh, and as if you know, kids aren't

502
00:29:46,600 --> 00:29:50,880
Speaker 1: already getting like bombarded even more with like unrealistic ideas

503
00:29:50,920 --> 00:29:53,560
Speaker 1: of how your life or body should look. It's like, yeah,

504
00:29:53,600 --> 00:29:55,920
Speaker 1: hah hahi, we want to fucking make you. Do you

505
00:29:55,960 --> 00:29:59,360
Speaker 1: want to mainline some body dysmorphic disorder into your fucking

506
00:29:59,440 --> 00:30:02,600
Speaker 1: veins at eight years old? Yeah? So, the National Eating

507
00:30:02,600 --> 00:30:07,720
Speaker 1: Disorder Association said that this poses some grave risks because

508
00:30:07,920 --> 00:30:12,760
Speaker 1: it is like giving children advice with no in person

509
00:30:12,840 --> 00:30:17,960
Speaker 1: monitoring by medical professionals. So too kind of illustrate how

510
00:30:18,000 --> 00:30:24,040
Speaker 1: this could go wrong. A dietitian went in and basically

511
00:30:24,600 --> 00:30:28,520
Speaker 1: made a profile that was somebody with an eating disorder, uh,

512
00:30:29,040 --> 00:30:31,520
Speaker 1: like a fake kid. Yeah, so created a fake profile

513
00:30:31,560 --> 00:30:33,400
Speaker 1: for a fourteen year old with a weight that would

514
00:30:33,440 --> 00:30:38,160
Speaker 1: be low for her height. Her diet consisted only of mustard, celery,

515
00:30:38,200 --> 00:30:42,240
Speaker 1: and water, and she recorded hours of treadmill exercise. The

516
00:30:42,240 --> 00:30:46,360
Speaker 1: app then told her how well she was doing, which,

517
00:30:46,760 --> 00:30:48,800
Speaker 1: so even when you put like would you eat today mustard,

518
00:30:48,840 --> 00:30:52,520
Speaker 1: celery and water, They're like, great, good job, keep going. Yeah,

519
00:30:52,560 --> 00:30:55,920
Speaker 1: you're still fucked up looking, Yeah, and you're clearly in

520
00:30:55,960 --> 00:31:00,000
Speaker 1: Los Angeles, right, Yeah, you're only eating mustard and celery. Yeah,

521
00:31:00,040 --> 00:31:02,960
Speaker 1: is that a real diet? I think I think it's

522
00:31:02,960 --> 00:31:06,880
Speaker 1: one of those things that probably like eating disorder like

523
00:31:08,560 --> 00:31:10,240
Speaker 1: and just a little bit of just a way to

524
00:31:10,360 --> 00:31:14,160
Speaker 1: trick yourself into like your body into thinking you're feeding

525
00:31:14,160 --> 00:31:17,400
Speaker 1: it sustenance and while not feeding itself is weight. But

526
00:31:17,440 --> 00:31:21,600
Speaker 1: weight watchers take is sort of like hey, kids, you

527
00:31:21,640 --> 00:31:24,000
Speaker 1: want to get your own health into your like bring

528
00:31:24,000 --> 00:31:26,520
Speaker 1: a control back into your hands with this app, right,

529
00:31:26,840 --> 00:31:30,440
Speaker 1: And I'm sure there are instances in which it is useful,

530
00:31:30,680 --> 00:31:34,040
Speaker 1: but it is like they're just putting it out there.

531
00:31:34,160 --> 00:31:37,680
Speaker 1: It's not a thing where you're getting medical attention on

532
00:31:37,720 --> 00:31:40,360
Speaker 1: a person to person basis to judge if this is

533
00:31:40,400 --> 00:31:43,760
Speaker 1: going to be useful in that instance, like if if

534
00:31:43,800 --> 00:31:46,600
Speaker 1: you're being monitored, if you're using it in association with

535
00:31:46,640 --> 00:31:49,560
Speaker 1: like a doctor kind of like working with you and

536
00:31:49,600 --> 00:31:53,040
Speaker 1: your family, maybe that would work. But because it's being

537
00:31:53,160 --> 00:31:57,280
Speaker 1: like you know, treated like a an app that they're

538
00:31:57,320 --> 00:32:00,479
Speaker 1: trying to like make a profit off of, it just

539
00:32:00,840 --> 00:32:03,400
Speaker 1: is going to go wrong no matter what. Right, So,

540
00:32:03,520 --> 00:32:06,360
Speaker 1: like a more cynical thing is like that this is

541
00:32:06,400 --> 00:32:09,520
Speaker 1: the last dying gasp of weight watchers to try and

542
00:32:09,560 --> 00:32:12,040
Speaker 1: like insert themselves and being like this is how you'll

543
00:32:12,080 --> 00:32:14,280
Speaker 1: get control of your weight versus like the Internet where

544
00:32:14,280 --> 00:32:17,200
Speaker 1: you can find every fucking diet under the sun that

545
00:32:17,240 --> 00:32:20,120
Speaker 1: people are into now, and doesn't you don't have to

546
00:32:20,160 --> 00:32:23,360
Speaker 1: pay like a membership for that information. Yeah, And just

547
00:32:23,440 --> 00:32:27,480
Speaker 1: last year, weight Watchers sparked a similar controversy when they

548
00:32:27,520 --> 00:32:31,320
Speaker 1: announced a new program to provide free membership for teens

549
00:32:31,400 --> 00:32:35,960
Speaker 1: between thirteen and seventeen, which is using the first one's

550
00:32:36,040 --> 00:32:40,480
Speaker 1: free drug dealer thing that you know, drug dealers supposedly

551
00:32:40,560 --> 00:32:43,200
Speaker 1: use against kids in high school. Right. I just like

552
00:32:43,280 --> 00:32:45,320
Speaker 1: that they're saying, it's it's but we're about healthy habits,

553
00:32:45,360 --> 00:32:48,360
Speaker 1: not a diet. Right. The idea before and after photos

554
00:32:48,360 --> 00:32:52,040
Speaker 1: for kids is really depressing because you're a kid, you're growing.

555
00:32:52,040 --> 00:32:55,280
Speaker 1: There's nothing but after photos. Yeah, like this one, there's

556
00:32:55,320 --> 00:32:57,120
Speaker 1: two of like this one. Kid. It looks like the

557
00:32:57,120 --> 00:32:59,880
Speaker 1: difference between when you're eight and ten. Right, It's like, yeah,

558
00:33:00,080 --> 00:33:04,600
Speaker 1: might look a little bit different when you start entering puberty, right, Yeah,

559
00:33:04,920 --> 00:33:07,840
Speaker 1: but this is him. Hey, pretty happiness. After three months

560
00:33:07,840 --> 00:33:10,720
Speaker 1: of Curbo. Yeah, and clearly we've run out of app names,

561
00:33:10,720 --> 00:33:14,600
Speaker 1: there were no longer any good app Yeah Curbo. The

562
00:33:14,680 --> 00:33:17,720
Speaker 1: kids are going to love that. Yeah, Only only pharmaceutical

563
00:33:17,800 --> 00:33:20,360
Speaker 1: names are worth sounds like a video game in a

564
00:33:20,560 --> 00:33:23,960
Speaker 1: like eighties movie where they're like just figuring out what

565
00:33:24,080 --> 00:33:26,920
Speaker 1: video games are. You can't beat my high score on Curbo.

566
00:33:27,840 --> 00:33:29,880
Speaker 1: Check this out? Well, that's the movie where that kid

567
00:33:29,880 --> 00:33:32,880
Speaker 1: gets zapped into Curbo right right in that world to

568
00:33:32,920 --> 00:33:38,080
Speaker 1: fight his way out of Herbia. What's something that's overrated? Um,

569
00:33:38,120 --> 00:33:41,600
Speaker 1: this is gonna spark controversy, but it's not that bad.

570
00:33:42,000 --> 00:33:47,280
Speaker 1: Getting rid of plastic straws. I get rid of all plastic,

571
00:33:47,320 --> 00:33:51,080
Speaker 1: then don't take my strawls away, right, just just I

572
00:33:51,120 --> 00:33:56,160
Speaker 1: will bring my own glass and there you go. Wow,

573
00:33:56,560 --> 00:34:00,760
Speaker 1: I will literally I will recycle everything. But there you go.

574
00:34:01,120 --> 00:34:03,000
Speaker 1: I mean you don't have to whisper. I'm on your

575
00:34:03,000 --> 00:34:06,000
Speaker 1: same team. I personally that turtle really fucked up the

576
00:34:06,040 --> 00:34:09,680
Speaker 1: pr It was one and now we got to act

577
00:34:09,719 --> 00:34:12,160
Speaker 1: like every turtle out here swimming and getting the straw this. No,

578
00:34:12,320 --> 00:34:15,560
Speaker 1: there's some bullshit also, like if you open any Apple products,

579
00:34:15,600 --> 00:34:19,239
Speaker 1: you have to cut through nineties boxes to get in plastic,

580
00:34:19,480 --> 00:34:21,759
Speaker 1: and then you talk to Steve Jobs himself to get

581
00:34:21,760 --> 00:34:23,640
Speaker 1: through the phone. So like, why can't we get rid

582
00:34:23,680 --> 00:34:25,640
Speaker 1: of all of this single it's not even single use

583
00:34:25,680 --> 00:34:28,239
Speaker 1: plastic when you're talking about packaging. It's just shipped to

584
00:34:28,280 --> 00:34:32,320
Speaker 1: make your ship look nice. But I can't have straw

585
00:34:33,400 --> 00:34:37,000
Speaker 1: this big plastic energy in the building that's just big paper.

586
00:34:39,600 --> 00:34:42,279
Speaker 1: It's the same ship where you know. It's unfortunately, it's

587
00:34:42,280 --> 00:34:45,640
Speaker 1: one of those problems that rather at the industrial level,

588
00:34:45,640 --> 00:34:47,960
Speaker 1: they're passing that problem down to the consumer and like

589
00:34:48,000 --> 00:34:52,000
Speaker 1: you know, it's actually your no. And then the attitude

590
00:34:52,239 --> 00:34:55,239
Speaker 1: you get when you ask for a straw. You're looking

591
00:34:55,280 --> 00:34:57,920
Speaker 1: for a straw and the people behind the counter and

592
00:34:57,960 --> 00:35:00,560
Speaker 1: I'm like, okay, listen, it's a bigger problem them. I will,

593
00:35:00,680 --> 00:35:03,920
Speaker 1: I will not use anything, but like you know, and

594
00:35:03,960 --> 00:35:07,160
Speaker 1: then they look at you like you're a can I swear, yeah,

595
00:35:07,760 --> 00:35:15,520
Speaker 1: fucking douche from all hell because Nancy behind straw, I

596
00:35:15,680 --> 00:35:18,680
Speaker 1: just had too much coldbrew and gave me more. And

597
00:35:18,760 --> 00:35:23,200
Speaker 1: now I'm screaming. I'm screaming. I've I've never said it before,

598
00:35:23,239 --> 00:35:25,719
Speaker 1: but it's a tough it's a tough thing because you know,

599
00:35:25,840 --> 00:35:28,000
Speaker 1: on one hand, I agree with obviously when you look

600
00:35:28,040 --> 00:35:30,359
Speaker 1: at like the gyre in the Pacific Ocean and things

601
00:35:30,360 --> 00:35:32,919
Speaker 1: like they're like goddamn it. But then I'm like, okay, fine,

602
00:35:33,000 --> 00:35:35,080
Speaker 1: I will, i will bring my own bags to the store,

603
00:35:35,160 --> 00:35:37,680
Speaker 1: like I'm cutting down on my ship that way. But

604
00:35:37,719 --> 00:35:40,360
Speaker 1: the fuck y'all have not figured out this paper straw

605
00:35:40,480 --> 00:35:42,960
Speaker 1: you really have it? Or the metal where I'm like,

606
00:35:42,960 --> 00:35:45,120
Speaker 1: am I at the dentist? Can I just can I

607
00:35:45,160 --> 00:35:47,799
Speaker 1: please have a straw? It just it hits my teeth

608
00:35:47,840 --> 00:35:50,360
Speaker 1: and I go, oh god, It's like nails on chalkboard.

609
00:35:50,719 --> 00:35:52,640
Speaker 1: The paper dissolves into your mouth, then you choke and

610
00:35:52,680 --> 00:35:55,719
Speaker 1: you a must die. And then the ones without the straw,

611
00:35:55,719 --> 00:35:57,839
Speaker 1: I'm like, who's gonna play pay my dry cleaning bill?

612
00:35:57,880 --> 00:36:00,399
Speaker 1: Because I dump it all over me? These are this

613
00:36:00,480 --> 00:36:03,960
Speaker 1: is a real problems. I think we just need better,

614
00:36:04,480 --> 00:36:07,800
Speaker 1: Like you know, like I could see you, Aaron, having

615
00:36:07,840 --> 00:36:10,120
Speaker 1: like your own straw, like one that you use all

616
00:36:10,120 --> 00:36:12,440
Speaker 1: the time. Would you do that if it wasn't you know, metal,

617
00:36:13,080 --> 00:36:15,360
Speaker 1: or you like, if I have to, I can re

618
00:36:15,560 --> 00:36:17,720
Speaker 1: use my straw, you know, like figure it out. Remember

619
00:36:17,719 --> 00:36:20,640
Speaker 1: how like back in the nineties, every promotional item was

620
00:36:20,680 --> 00:36:25,160
Speaker 1: a water bottle with a thick astraw like that straw

621
00:36:25,239 --> 00:36:28,719
Speaker 1: from that water bottle? Could you rock that infinitely? Maybe completely?

622
00:36:28,880 --> 00:36:30,600
Speaker 1: So we'll find we're finding a middle ground, you know.

623
00:36:30,800 --> 00:36:34,520
Speaker 1: I mean, I don't want to like I wanted to say,

624
00:36:37,640 --> 00:36:40,400
Speaker 1: almost say no, it's because I know there's somebody behind

625
00:36:40,400 --> 00:36:43,280
Speaker 1: this straw ship and it ain't the goddamn environment, because

626
00:36:43,320 --> 00:36:46,719
Speaker 1: Americaine never been this thoughtful about ship. Okay, it's the

627
00:36:46,760 --> 00:36:50,120
Speaker 1: reason why. I literally plastic is everywhere, but except for straws. Like,

628
00:36:50,120 --> 00:36:52,200
Speaker 1: who is big paper, Who's behind this? Who's making the

629
00:36:52,280 --> 00:36:55,560
Speaker 1: coin off this straw? I'm tired of sucking limp straw.

630
00:36:56,120 --> 00:37:02,520
Speaker 1: Wow we are now, And I like you. As soon

631
00:37:02,560 --> 00:37:04,239
Speaker 1: as you said the bracelet thing, I said, oh, yes,

632
00:37:04,280 --> 00:37:07,000
Speaker 1: a scammer, Yeah, I love My love is scamra. Well,

633
00:37:07,080 --> 00:37:08,879
Speaker 1: you know, one person might say a scammer, another person

634
00:37:08,920 --> 00:37:12,279
Speaker 1: might say someone with infinite generosity. Yeah, I have a

635
00:37:12,360 --> 00:37:16,200
Speaker 1: huge plastic straws exactly, And you want your friends to

636
00:37:16,280 --> 00:37:18,279
Speaker 1: join in on the phone with Obviously, turtles live for

637
00:37:18,320 --> 00:37:20,200
Speaker 1: a long time, and we need to bring that turtle

638
00:37:20,280 --> 00:37:23,239
Speaker 1: back out. I want to see that turtle and has recovering.

639
00:37:23,560 --> 00:37:25,480
Speaker 1: I mean I see more agents with straws in their

640
00:37:25,480 --> 00:37:29,760
Speaker 1: nose at parties than I do turtles, so many coked

641
00:37:29,840 --> 00:37:32,680
Speaker 1: up turtles. Even I will say most people who are

642
00:37:32,680 --> 00:37:36,200
Speaker 1: doing cocaine do do it environmentally soundly, with either a

643
00:37:36,640 --> 00:37:42,000
Speaker 1: classy cocaine spoon or their keys or your podcast movement

644
00:37:42,080 --> 00:37:51,040
Speaker 1: Lanyard in Orlando. Yeah, and host y'all for the record,

645
00:37:51,080 --> 00:37:54,400
Speaker 1: that was a joke for y'all who take everything people

646
00:37:54,400 --> 00:37:57,239
Speaker 1: say on this microphone for real? So healthy and it's

647
00:37:57,239 --> 00:37:58,960
Speaker 1: actually straight edge. What y'all don't know? She has the

648
00:37:59,000 --> 00:38:01,200
Speaker 1: ex's tattooed on her hands and we photoshop that out

649
00:38:01,200 --> 00:38:07,200
Speaker 1: in every photo. Well, speaking of questioning the seafood, Food

650
00:38:07,239 --> 00:38:11,600
Speaker 1: TV has got a new show that sounds like it

651
00:38:11,680 --> 00:38:15,800
Speaker 1: is a parody of itself, but apparently it's real. Yeah.

652
00:38:15,880 --> 00:38:18,920
Speaker 1: I mean, cooking shows have always like they've had this

653
00:38:19,000 --> 00:38:22,520
Speaker 1: evolution right from like dry tutorials of like this is

654
00:38:22,560 --> 00:38:24,720
Speaker 1: how you make this thing, and then we started getting

655
00:38:24,719 --> 00:38:27,240
Speaker 1: into like the more highbrow competitions like your Top Chefs

656
00:38:27,280 --> 00:38:29,880
Speaker 1: and your Hell's Kitchens and Master Steps, and then you

657
00:38:29,880 --> 00:38:34,680
Speaker 1: get these like half hybrid comedies. It's social justice commentary

658
00:38:34,719 --> 00:38:38,920
Speaker 1: at this point, like with Ugly Delicious, it's just like

659
00:38:38,960 --> 00:38:41,520
Speaker 1: it's more like this is the history of the hot

660
00:38:41,560 --> 00:38:43,960
Speaker 1: dog and how people were oppressed as they were in

661
00:38:44,800 --> 00:38:48,960
Speaker 1: the labor camps, and like yeah, and now we're getting

662
00:38:49,040 --> 00:38:51,480
Speaker 1: more of like the jokey stuff. So now there's a

663
00:38:51,560 --> 00:38:54,600
Speaker 1: new show on Quimby. Again, I don't know what they

664
00:38:54,680 --> 00:38:56,920
Speaker 1: I feel like everything is about you on Quimby for

665
00:38:56,920 --> 00:39:01,319
Speaker 1: whatever reason. But it's almost like half Japanese game show

666
00:39:01,360 --> 00:39:04,880
Speaker 1: have legit cooking show. So it's hosted by Titus Burgess

667
00:39:04,960 --> 00:39:08,880
Speaker 1: and each episode quote starts with the cannon blasting of

668
00:39:08,920 --> 00:39:13,120
Speaker 1: a mystery food dish into the faces of two blindfolded chefs.

669
00:39:13,440 --> 00:39:16,760
Speaker 1: They'll use their culinary prowess to identify the exploded dish

670
00:39:16,960 --> 00:39:19,880
Speaker 1: and then race against the clock to recreate it whichever

671
00:39:19,920 --> 00:39:22,800
Speaker 1: chef comes closest to the original dish. When a cash prize,

672
00:39:23,440 --> 00:39:28,200
Speaker 1: now let's say it's hot soup perfect, are they just

673
00:39:28,200 --> 00:39:32,719
Speaker 1: going to be like that, it's just them screaming, it's

674
00:39:32,719 --> 00:39:35,239
Speaker 1: having their wounds. It's like a piea so it's a

675
00:39:35,239 --> 00:39:38,680
Speaker 1: bunch of shellfish and like shells like cutting your face off. Um,

676
00:39:38,719 --> 00:39:40,200
Speaker 1: I don't know. I mean, I think it's it's sort

677
00:39:40,239 --> 00:39:42,120
Speaker 1: of you know, that's what's kind of becoming funny because

678
00:39:42,200 --> 00:39:45,160
Speaker 1: nailed it helps sort of democratize things a bit. Or

679
00:39:45,160 --> 00:39:47,480
Speaker 1: it's like Sea Man's like nobody didn't we can get

680
00:39:47,480 --> 00:39:49,440
Speaker 1: this ship done. But now sort of saying like oh

681
00:39:49,480 --> 00:39:51,919
Speaker 1: you're so good? How good are you? Are you so good?

682
00:39:51,960 --> 00:39:54,880
Speaker 1: We can explode a meal on your fold? Why are

683
00:39:54,880 --> 00:39:59,000
Speaker 1: we doing this? Why do we hate chefs? Because so

684
00:40:00,320 --> 00:40:03,080
Speaker 1: as Americans, we do not like experts, we do not

685
00:40:03,200 --> 00:40:06,000
Speaker 1: like expertise. So we've seen these people be better than

686
00:40:06,120 --> 00:40:09,920
Speaker 1: us and be un like. We can't that they're unrelatable,

687
00:40:10,200 --> 00:40:13,560
Speaker 1: so now we have to bring them down and humiliate

688
00:40:13,640 --> 00:40:18,319
Speaker 1: them on National TV they did with the comedians. It's

689
00:40:18,560 --> 00:40:23,120
Speaker 1: really really I just like those uh, I like the

690
00:40:23,200 --> 00:40:26,440
Speaker 1: when when the guy has like gonna chopped or whatever,

691
00:40:26,680 --> 00:40:28,719
Speaker 1: when the guy has nothing to play for. Really, that's

692
00:40:28,760 --> 00:40:34,200
Speaker 1: not that deep, right right? Oh my dad died to cancer. Right?

693
00:40:34,280 --> 00:40:38,480
Speaker 1: Oh man? You know, just ship just trying to take

694
00:40:38,520 --> 00:40:43,920
Speaker 1: a few weeks off, you know what I'm saying, Like, yeah,

695
00:40:44,200 --> 00:40:47,640
Speaker 1: that's what I'm playing for today. That's funny. The producers.

696
00:40:47,640 --> 00:40:51,000
Speaker 1: I always find people with heavy fucking stories, which like

697
00:40:51,040 --> 00:40:53,520
Speaker 1: almost like I get it, producers, thank you. But like

698
00:40:53,960 --> 00:40:56,440
Speaker 1: sometimes I've turned off an episode because I'm like that

699
00:40:56,520 --> 00:40:59,280
Speaker 1: was so heavy, Like someone like recently lost a parent

700
00:40:59,640 --> 00:41:03,279
Speaker 1: and they're like, I'm here despite what happened. Hold on.

701
00:41:03,440 --> 00:41:05,080
Speaker 1: You can tell when they were like, can we need

702
00:41:05,120 --> 00:41:07,040
Speaker 1: to punch this up? A little bit more, because then

703
00:41:07,080 --> 00:41:10,560
Speaker 1: they'll just dramatize something very basic. Can we getting fired?

704
00:41:10,760 --> 00:41:13,960
Speaker 1: Can we get the filming to be during the funeral

705
00:41:14,040 --> 00:41:17,880
Speaker 1: so that they're really conflicted about it? Um? Yeah, they

706
00:41:18,080 --> 00:41:25,160
Speaker 1: cut that person. I'm sorry. Yeah, wut. They're like, I'm

707
00:41:25,200 --> 00:41:27,839
Speaker 1: here to just honor my father's memory, and they're like, well,

708
00:41:27,960 --> 00:41:31,719
Speaker 1: unfortunately this dish did not honor so Quimby. By the way,

709
00:41:31,760 --> 00:41:34,640
Speaker 1: for people who weren't listening to that episode when we

710
00:41:34,719 --> 00:41:37,000
Speaker 1: covered it, is like, isn't that the like ten minute

711
00:41:37,040 --> 00:41:40,359
Speaker 1: TV shows or something that Steven Spield like, it just

712
00:41:40,440 --> 00:41:43,799
Speaker 1: has all this funding and yeah, I mean mobile, it's

713
00:41:43,800 --> 00:41:46,680
Speaker 1: gonna be a mobile app where you watch TV shows

714
00:41:46,680 --> 00:41:50,080
Speaker 1: that are made specifically to be ten fifteen minutes long.

715
00:41:50,120 --> 00:41:52,480
Speaker 1: And they've got a lot of good talents. Got punked

716
00:41:52,520 --> 00:41:56,000
Speaker 1: coming back, they got a show where they fire hot

717
00:41:56,040 --> 00:42:01,880
Speaker 1: soup and chef's faces. Uh, it's perfect like commuter entertainment. Yeah,

718
00:42:02,239 --> 00:42:06,880
Speaker 1: I don't know, man, I'm still skeptical. I don't know.

719
00:42:06,920 --> 00:42:10,759
Speaker 1: They're basically creating a new genre of entertainment. Like I've

720
00:42:10,760 --> 00:42:14,120
Speaker 1: never seen somebody put the cart this far before the horse,

721
00:42:14,160 --> 00:42:16,600
Speaker 1: where they're just like they're signing all the talent on

722
00:42:16,760 --> 00:42:19,560
Speaker 1: and then just being like and it'll be tight, it'll

723
00:42:19,600 --> 00:42:23,600
Speaker 1: be tight. There was there was one case, a little

724
00:42:23,640 --> 00:42:28,279
Speaker 1: company called see So right, that's what I'm who have

725
00:42:28,400 --> 00:42:30,560
Speaker 1: been trying to do this for a long time and

726
00:42:30,640 --> 00:42:33,640
Speaker 1: signing really great talent and it just feels like the

727
00:42:33,680 --> 00:42:37,319
Speaker 1: ability to you know, create art form that is like

728
00:42:37,480 --> 00:42:40,960
Speaker 1: ten minutes long and like just really short bite size stuff.

729
00:42:41,440 --> 00:42:44,200
Speaker 1: I don't, I just it's a lot of people have

730
00:42:44,280 --> 00:42:47,520
Speaker 1: tried it. Yeah, I mean there's a difference thing selling

731
00:42:47,560 --> 00:42:50,239
Speaker 1: good and selling different, right, you know what I mean.

732
00:42:50,280 --> 00:42:52,480
Speaker 1: It's just like this is a different idea and you

733
00:42:52,480 --> 00:42:54,799
Speaker 1: don't know if it's gonna fail, right, all right, because

734
00:42:54,840 --> 00:42:57,800
Speaker 1: it's so different. He's never been done. But this is

735
00:42:57,840 --> 00:43:02,040
Speaker 1: also always the feedback you from executives when you're first

736
00:43:02,080 --> 00:43:05,600
Speaker 1: starting like podcasts, they were like, gotta make it quick, man,

737
00:43:05,640 --> 00:43:09,400
Speaker 1: people don't have long attention. Yeah, and then like some

738
00:43:09,440 --> 00:43:12,319
Speaker 1: of the best podcasts are like hours long, and it's

739
00:43:12,360 --> 00:43:15,360
Speaker 1: like people that actually isn't true. People don't want to

740
00:43:15,360 --> 00:43:18,239
Speaker 1: have to keep choosing what their next podcast is. They

741
00:43:18,280 --> 00:43:22,160
Speaker 1: want you to, like, you know, spend some time with them.

742
00:43:22,280 --> 00:43:25,680
Speaker 1: Um yeah, I mean, you can't beat a good story.

743
00:43:25,880 --> 00:43:28,960
Speaker 1: Ever you know what I mean. And if it's if

744
00:43:28,960 --> 00:43:31,080
Speaker 1: people don't want to long podcast from people who don't

745
00:43:31,120 --> 00:43:33,960
Speaker 1: know what they're doing. But if you if you've got

746
00:43:34,000 --> 00:43:35,759
Speaker 1: a good story, you know how to tell it, you

747
00:43:35,800 --> 00:43:38,000
Speaker 1: know people to tell it in, people will still get

748
00:43:38,040 --> 00:43:41,319
Speaker 1: locked in. Yeah, and YouTube videos like they like it's

749
00:43:41,360 --> 00:43:45,920
Speaker 1: a hack now to make them longer because people spend Yeah.

750
00:43:46,040 --> 00:43:48,680
Speaker 1: So I mean again like it doesn't work if you're

751
00:43:48,680 --> 00:43:51,040
Speaker 1: not good at it. But the videos are now trending

752
00:43:51,120 --> 00:43:55,120
Speaker 1: higher and higher in terms of runtime. Uh so, I

753
00:43:55,160 --> 00:43:57,279
Speaker 1: just feel like there's always this idea that like we

754
00:43:57,360 --> 00:43:59,560
Speaker 1: gotta you know, dumb it down, shorten it, make it

755
00:43:59,600 --> 00:44:03,000
Speaker 1: really quick, and it hasn't really worked out that one.

756
00:44:03,080 --> 00:44:06,080
Speaker 1: Do we know if quimbies behind a paywall or it's

757
00:44:06,280 --> 00:44:09,520
Speaker 1: ad sponsored. I think it must be ad sponsored, because

758
00:44:09,520 --> 00:44:11,479
Speaker 1: that would be the death knew where it's like okay,

759
00:44:11,480 --> 00:44:15,719
Speaker 1: hold you want me to people are gonna pay ten

760
00:44:15,760 --> 00:44:20,000
Speaker 1: minute videos. No, there's just too much good entertainment. It's

761
00:44:20,040 --> 00:44:23,440
Speaker 1: way too much. Yeah, yeah, it looks too much of entertainment.

762
00:44:23,440 --> 00:44:26,640
Speaker 1: I don't know. Yeah, that's there's just too much to

763
00:44:26,760 --> 00:44:29,200
Speaker 1: choose from. All Right, we're gonna take a quick break

764
00:44:29,239 --> 00:44:40,160
Speaker 1: and we'll be right back, and we're back. Well, let's

765
00:44:40,160 --> 00:44:42,359
Speaker 1: talk about somebody else who saw a see through jar

766
00:44:42,480 --> 00:44:46,120
Speaker 1: of money? Uh and x I guess head of vice

767
00:44:46,120 --> 00:44:49,520
Speaker 1: president production for one of Roberts's companies. Uh. This woman

768
00:44:49,560 --> 00:44:54,520
Speaker 1: named Chase Robinson being sued for fucking six million dollars

769
00:44:55,120 --> 00:44:58,880
Speaker 1: because she was quote spending astronomical amounts of time watching

770
00:44:58,920 --> 00:45:02,239
Speaker 1: Netflix and other various forms of time wasting. And I'm

771
00:45:02,280 --> 00:45:04,760
Speaker 1: just gonna read you this, this snippet from Variety, because

772
00:45:04,760 --> 00:45:06,440
Speaker 1: it's it just tells you everything you need to know

773
00:45:06,480 --> 00:45:10,799
Speaker 1: about this wonderful employee. The company says she rarely came

774
00:45:10,800 --> 00:45:13,880
Speaker 1: into the office and alleges she spent quote astronomical amounts

775
00:45:13,880 --> 00:45:17,320
Speaker 1: of time watching Netflix during work hours. The company alleges

776
00:45:17,360 --> 00:45:19,800
Speaker 1: that during a four day period in January, she watched

777
00:45:19,920 --> 00:45:23,200
Speaker 1: fifty five episodes of Friends. On one of those days,

778
00:45:23,239 --> 00:45:26,440
Speaker 1: she ordered lunch from Caviare San Francisco and had dinner

779
00:45:26,480 --> 00:45:29,680
Speaker 1: at Paula's Restaurant, charging both meals on the company card.

780
00:45:30,000 --> 00:45:32,640
Speaker 1: Over another four day period in March, she allegedly watched

781
00:45:32,680 --> 00:45:36,239
Speaker 1: twenty episodes of Arrested Development and ten episodes of Ship's Creek.

782
00:45:36,320 --> 00:45:38,359
Speaker 1: I mean so far, look It sounds like she's taking

783
00:45:38,360 --> 00:45:41,160
Speaker 1: care of herself. She likes to laugh. This is a

784
00:45:41,280 --> 00:45:45,759
Speaker 1: reboot culture. And I was only watching Hours of Friends

785
00:45:45,800 --> 00:45:48,480
Speaker 1: because I'm trying to make France with Robert de Niro

786
00:45:49,280 --> 00:45:52,240
Speaker 1: right the Nero's France. This is what I'm thinking, Robert,

787
00:45:52,280 --> 00:45:55,000
Speaker 1: you are Chandler being How do you feel about How

788
00:45:55,000 --> 00:45:57,680
Speaker 1: do you feel about that? I don't know. There's a

789
00:45:57,680 --> 00:46:01,880
Speaker 1: lot going on with Apparently she was constantly there was

790
00:46:01,920 --> 00:46:04,000
Speaker 1: a lot of rumors about her that she was like

791
00:46:04,160 --> 00:46:06,480
Speaker 1: involved in corporate sabotages, the word they used in this

792
00:46:06,520 --> 00:46:08,640
Speaker 1: Variety article. I don't know exactly what that means, but

793
00:46:08,760 --> 00:46:11,719
Speaker 1: when you go on this is what they say. According

794
00:46:11,760 --> 00:46:13,880
Speaker 1: to the company, they say watching shows on Netflix was

795
00:46:13,920 --> 00:46:16,239
Speaker 1: not in any way part of or related to the

796
00:46:16,320 --> 00:46:20,360
Speaker 1: duties and responsibilities of her employment on Information and Belief

797
00:46:20,440 --> 00:46:23,040
Speaker 1: was done for her personal entertainment, amusement, and pleasure at

798
00:46:23,080 --> 00:46:24,719
Speaker 1: times when she was being paid to work. Is with

799
00:46:24,760 --> 00:46:27,680
Speaker 1: the pseudo alleges, and it also alleges that Robinson made

800
00:46:27,680 --> 00:46:31,920
Speaker 1: twelve thousand, like hundred ninety six dollars and unauthorized charges

801
00:46:32,040 --> 00:46:34,880
Speaker 1: at Paola's over a two year period, in addition to

802
00:46:34,960 --> 00:46:37,920
Speaker 1: eights at Dean and De Luca and Whole Foods and

803
00:46:38,080 --> 00:46:42,160
Speaker 1: thirty two thousand dollars for uber rides and taxis. Thirty

804
00:46:42,280 --> 00:46:47,640
Speaker 1: two thousand dollars for uber rides and taxis. Mass was

805
00:46:47,680 --> 00:46:53,280
Speaker 1: going on road trips, I mean in the fit pool.

806
00:46:54,719 --> 00:46:56,320
Speaker 1: Unless she also had a scamlet she put in the

807
00:46:56,400 --> 00:46:59,000
Speaker 1: dryer and just let it. Getting those steps like that,

808
00:46:59,000 --> 00:47:03,920
Speaker 1: we I have a question, why why wasn't she fired

809
00:47:03,960 --> 00:47:06,640
Speaker 1: on week one? How is this? If you're if you're

810
00:47:06,640 --> 00:47:09,319
Speaker 1: a word, if you're if you're at a job right,

811
00:47:09,360 --> 00:47:12,240
Speaker 1: and I'm always going to cheer for the worker to

812
00:47:12,239 --> 00:47:15,640
Speaker 1: to extort as much money off Corporate Americas salary was

813
00:47:15,640 --> 00:47:19,319
Speaker 1: three d thousand dollars. That's what her salary was, So

814
00:47:19,440 --> 00:47:22,920
Speaker 1: I don't understand. There's where is the oversight If someone

815
00:47:23,000 --> 00:47:26,759
Speaker 1: comes in and you're watching, they've documented all the netflix,

816
00:47:26,800 --> 00:47:29,400
Speaker 1: But she wasn't fired. I'm sorry, that's on them. She

817
00:47:29,520 --> 00:47:31,759
Speaker 1: started as an assistant to DeNiro in two thousand and

818
00:47:31,800 --> 00:47:34,759
Speaker 1: eight and then was promoted to vice president of products

819
00:47:34,760 --> 00:47:38,000
Speaker 1: of production and finance. But that's probably more in the

820
00:47:38,040 --> 00:47:40,080
Speaker 1: production side. I have a feeling, right if you look,

821
00:47:40,120 --> 00:47:42,040
Speaker 1: I know people who have sucked around it and buzzled

822
00:47:42,080 --> 00:47:45,399
Speaker 1: money at companies. They don't catch on until like they

823
00:47:45,440 --> 00:47:49,319
Speaker 1: start realizing there's abnormalities because there's typically they're like, oh,

824
00:47:49,360 --> 00:47:51,200
Speaker 1: that person is on the level. And then when you

825
00:47:51,239 --> 00:47:53,600
Speaker 1: start being like, hold on, man, money is going weird places.

826
00:47:53,640 --> 00:47:56,120
Speaker 1: And then you started analyzing ship, that's when people start

827
00:47:56,160 --> 00:47:57,680
Speaker 1: putting it together. You have a little bit of a

828
00:47:57,719 --> 00:48:01,440
Speaker 1: window to funk around. I find this so ridiculous, like

829
00:48:02,480 --> 00:48:06,240
Speaker 1: productivity and finance. She's the most unproductive person and she's

830
00:48:06,440 --> 00:48:09,960
Speaker 1: spending them spending all the money, but where is the

831
00:48:10,600 --> 00:48:13,080
Speaker 1: who's in charge. That's like she's doing the anti job.

832
00:48:13,160 --> 00:48:15,040
Speaker 1: Like if someone hired you to be a security guy,

833
00:48:15,120 --> 00:48:18,239
Speaker 1: but instead you just stole everything, Like we had you

834
00:48:18,280 --> 00:48:22,200
Speaker 1: to protect our merchant. You're stealing it. I'm redistributing it

835
00:48:22,280 --> 00:48:24,880
Speaker 1: to my home. But what I love about this is

836
00:48:24,920 --> 00:48:27,239
Speaker 1: that you say she started as an assistant, because to me,

837
00:48:27,280 --> 00:48:29,120
Speaker 1: that says that she's probably a real scammer who learned

838
00:48:29,120 --> 00:48:30,600
Speaker 1: the ins and outs. Like when you start on a

839
00:48:30,600 --> 00:48:33,480
Speaker 1: lower level, you start noticing where the holes are, like

840
00:48:33,600 --> 00:48:36,040
Speaker 1: much easier. So like, oh, Robert, don't even be looking

841
00:48:36,080 --> 00:48:38,239
Speaker 1: at these files, and I'm looking at these files every

842
00:48:38,280 --> 00:48:41,319
Speaker 1: week or also and the person that does I know

843
00:48:41,400 --> 00:48:43,320
Speaker 1: she's getting sunked up on her job anyway, So she

844
00:48:43,360 --> 00:48:46,040
Speaker 1: says someone telling Robert that she's fund up one all day.

845
00:48:46,080 --> 00:48:51,880
Speaker 1: But how do you the documentation the specificity of sixty

846
00:48:51,960 --> 00:48:56,480
Speaker 1: nine episodes of like someone had to document that. You

847
00:48:56,520 --> 00:48:59,919
Speaker 1: can't just pull that out of your ass information? Said

848
00:49:00,040 --> 00:49:04,360
Speaker 1: company Computer Netflix. I guess, But that's I'm interesting, Like

849
00:49:04,360 --> 00:49:07,000
Speaker 1: where you get those analytics? Because can you check your Netflix?

850
00:49:07,080 --> 00:49:09,120
Speaker 1: She was on de Nero's log in, and she must

851
00:49:09,160 --> 00:49:11,120
Speaker 1: have been on someone's yet, I mean, like a true

852
00:49:11,120 --> 00:49:14,719
Speaker 1: scammera But like, I'm curious how you even get that information.

853
00:49:14,840 --> 00:49:20,080
Speaker 1: It's kind of like the Greatest Employees story and like

854
00:49:20,200 --> 00:49:24,200
Speaker 1: the and and like I don't know. I always think

855
00:49:24,200 --> 00:49:27,160
Speaker 1: the greatest way to end a job was that flight

856
00:49:27,200 --> 00:49:31,440
Speaker 1: attendant at Jet Blue when he pulled the thing went

857
00:49:31,440 --> 00:49:33,920
Speaker 1: out the emergency slide with a six pack. To me,

858
00:49:34,000 --> 00:49:38,279
Speaker 1: that's the greatest working mayam story of all time. This

859
00:49:38,320 --> 00:49:41,799
Speaker 1: one is second place. This is pretty good. The other part,

860
00:49:42,000 --> 00:49:45,880
Speaker 1: what about the resignation? She on the cake, so she

861
00:49:46,120 --> 00:49:49,160
Speaker 1: is allowed to resign for some reason, Like they don't

862
00:49:49,160 --> 00:49:51,160
Speaker 1: they're not even like firing her. I feel like if

863
00:49:51,200 --> 00:49:52,759
Speaker 1: you're stealing like this is going to be like the

864
00:49:52,800 --> 00:49:56,359
Speaker 1: security cars come get you and had nero wrapped around

865
00:49:56,360 --> 00:49:57,839
Speaker 1: her fingers. She must have because she got to sit

866
00:49:57,880 --> 00:50:01,000
Speaker 1: in a resonation letter where she disregarded all of these charges.

867
00:50:01,120 --> 00:50:05,239
Speaker 1: It's false and in ridiculous, ridiculous, as she said. And

868
00:50:05,280 --> 00:50:09,640
Speaker 1: then she writes herself a letter of recommendation which she

869
00:50:09,760 --> 00:50:15,520
Speaker 1: gives to Robert de Niro to to sign. He declines. However,

870
00:50:15,960 --> 00:50:17,920
Speaker 1: she had been working at this assistant for years, so

871
00:50:17,960 --> 00:50:20,920
Speaker 1: she probably just still wrote that Letter's like, yeah, I

872
00:50:20,960 --> 00:50:23,640
Speaker 1: know your signature, Robert. I was giving you a chance

873
00:50:23,680 --> 00:50:26,760
Speaker 1: to do the right thing, but she's not going to

874
00:50:26,760 --> 00:50:31,759
Speaker 1: give me my quill. I love that she writes it

875
00:50:31,800 --> 00:50:35,799
Speaker 1: with a quill. It's just all right another Obviously this

876
00:50:35,880 --> 00:50:40,080
Speaker 1: is a bad behavior, however, but again I'm just amazed

877
00:50:40,160 --> 00:50:46,319
Speaker 1: at her confidence that just going through life like, oh,

878
00:50:46,440 --> 00:50:49,080
Speaker 1: I can do whatever I want. I mean, it's probably

879
00:50:49,120 --> 00:50:51,279
Speaker 1: one of those things too. Within the company, people were

880
00:50:51,360 --> 00:50:55,920
Speaker 1: just taking advantage. I mean there I've seen instances of

881
00:50:55,960 --> 00:50:58,879
Speaker 1: people at like an actor's production company when they start

882
00:50:58,920 --> 00:51:01,560
Speaker 1: their own little boutique produce action company, and there's a

883
00:51:01,600 --> 00:51:04,160
Speaker 1: lot of sucking around sometimes, especially if like their friends

884
00:51:04,160 --> 00:51:06,600
Speaker 1: are involved and things like that, so I wonder if

885
00:51:06,640 --> 00:51:08,120
Speaker 1: they're just a culture in there. It was like, dude,

886
00:51:08,120 --> 00:51:09,839
Speaker 1: none of these people care. Robert doesn't know, Like they're

887
00:51:09,880 --> 00:51:11,719
Speaker 1: pulling in a billion dollars a year like throughout his

888
00:51:11,719 --> 00:51:15,960
Speaker 1: business ventures, like what's right, And he's working, so he's

889
00:51:15,960 --> 00:51:19,359
Speaker 1: probably not there, like overlooking everybody's shoulder, like we're working

890
00:51:19,400 --> 00:51:22,279
Speaker 1: on today too, busy hanging out with anti bactors right now.

891
00:51:23,920 --> 00:51:28,520
Speaker 1: All right, that's gonna do it for this week's weekly Zeitgeys,

892
00:51:28,680 --> 00:51:32,520
Speaker 1: please like and review the show. If you like the show,

893
00:51:33,080 --> 00:51:37,480
Speaker 1: uh means the world to Miles. He needs your validation. Folks.

894
00:51:38,080 --> 00:51:41,160
Speaker 1: I hope you're having a great weekend and I will

895
00:51:41,160 --> 00:52:26,920
Speaker 1: talk to him Monday. By