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Speaker 1: Hello the Internet, and welcome to season ninety six, episode

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Speaker 1: one of der Days eight guyst a production of My

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Speaker 1: Heart Radio. This is I just spit across the room.

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Speaker 1: This is the podcast where we take a deep dive

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Speaker 1: into America's shared consciousness and say, officially off the top, Hey,

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Speaker 1: fun Coke Industries and fun Fox News. It's Monday, August

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Speaker 1: ninety My name is Jack O'Brien aka my boyfriends Jack,

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Speaker 1: and he's gonna be in trouble, say kangs. I don't

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Speaker 1: know mail Bailie mail bab blah blah blah blah. That

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Speaker 1: is courtesy of Christie. I'm Ducci man, and I'm thrilled

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Speaker 1: to be joined as always by my co host Mr

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Speaker 1: Miles Right. Podcast song about it like here here goes

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Speaker 1: I am whoa God? Okay, I'm fast forward to I've

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Speaker 1: got hot takes I share with strat Jeez because I

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Speaker 1: have to ask her to her majesty. Okay, thank you

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Speaker 1: to that at Curiosity mod for that in Vogue. Ak,

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Speaker 1: that's right. This week I'm looking for Vogue a case

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Speaker 1: because I'm washed and old. Uh yeah, and also, um,

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Speaker 1: thank you for misspelling my name in the tweet. I'm

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Speaker 1: not offended by it at all. It's wm H Elliott.

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Speaker 1: Why she spelled with a Why why did she do that?

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Speaker 1: I don't know, man, that people always want to spell

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Speaker 1: my wife's name in weird ways really well, like not,

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Speaker 1: they just think she doesn't have the standard spelling. I

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Speaker 1: don't know what I think. Well, there's white people think

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Speaker 1: non white people have weird names. Seen so many odd

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Speaker 1: spellings of Lindsay. I've seen like ones that I've blown

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Speaker 1: my mind. Yeah, well, we're through to be joined in

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Speaker 1: our third seat by the ones, the only one of

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Speaker 1: the carvers of mountains eight more. She is an h Hello,

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Speaker 1: the energy, how are you feeling this morning? Vibrating? This

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Speaker 1: is the earliest we've ever recorded the daily Zygeist. Might

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Speaker 1: be able to hear it in some of our voices. Um,

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Speaker 1: we're still in Orlando, our flight, we're we're trapped here.

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Speaker 1: Hopefully we make it back by tomorrow's episode, but we'll

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Speaker 1: be making the boast of it. Yeah, snowstorm hit Orlando

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Speaker 1: and you are your your energy right now in a word,

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Speaker 1: is electric? Why do you have a band aid on? Jack?

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Speaker 1: So I went for a job yesterday. Uh, and I'm

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Speaker 1: by lightning in his arm by the way. I like

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Speaker 1: Shurines description of lightning as thick cut lightning, because it

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Speaker 1: really is very thick. Yeah, in Florida, it's really like

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Speaker 1: steak lightning bars of lightning. Uh. Yeah. So I went

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Speaker 1: for a jog and this completely flat surface just jumped

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Speaker 1: up out of nowhere and tripped me. Yeah, and did

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Speaker 1: like and did like three tumbles, like you know when

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Speaker 1: a car like crashes and it just keeps like rowing.

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Speaker 1: You're like, wait, it can't keep rolling. Ke, Yeah that's

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Speaker 1: what I did. Uh you seen the I thinks I've

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Speaker 1: never heard you laugh like that. It's really it's just

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Speaker 1: that is not what I was expecting you to tell me. Yeah.

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Speaker 1: It was literally broke up a robbery or something. Yeah,

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Speaker 1: these tourists were getting strong arms. Yeah. No, I'm I'm

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Speaker 1: getting old where I have dropped foot, which is a

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Speaker 1: bad sign if the sweat was the best on our

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Speaker 1: way to the lobby, and I'm like you all right,

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Speaker 1: and he's like, I just went for a jog outside.

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Speaker 1: I'm like, yeah, it takes me at least two hours

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Speaker 1: to stop sweating from exercise. You take a cold shower

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Speaker 1: when you get back to try and counteract it. Nah,

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Speaker 1: because those are uncomfortable, and I like to feel warm,

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Speaker 1: like I'm being hugged by the shower. If you're that hot,

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Speaker 1: a cold shower feels amazing. All right, Anyways, Anna, we're

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Speaker 1: gonna get to know you a little bit better in

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Speaker 1: a moment. First, we're gonna tell our listeners just a

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Speaker 1: couple of the things we're talking about today. We're talking

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Speaker 1: about a lot of things. We're gonna talk about why

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Speaker 1: the right is so mean to the consumers of their media,

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Speaker 1: why why they just like loot them. We're gonna talk

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Speaker 1: about Greenland and the President of the United States, I

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Speaker 1: think Donald Trump. We're gonna talk about Trump rally at

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Speaker 1: the end of last week. We're gonna talk about Trump

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Speaker 1: recession that might be coming, how he's going to try

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Speaker 1: and pass that off. We're talking this is not a

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Speaker 1: Trump free Monday, Let's put it that way. We're gonna

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Speaker 1: talk about the latest Fox News poll we're not looking

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Speaker 1: great for El Presidente. And we're gonna talk about the

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Speaker 1: story that came out in BuzzFeed that is crazy and

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Speaker 1: infuriating about insurance companies teaming up with police and basically

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Speaker 1: like paying police to investigate people for insurance fraud. And

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Speaker 1: it's fucked up. It sounds like it's on the level. Man. Yeah,

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Speaker 1: I also saw an infuriating buzz Feed article last night.

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Speaker 1: That's a funny, crazy, random out of nowhere text. Friends

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Speaker 1: have said, So this is infuriated. This is a little

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Speaker 1: different kind of infuriated. This is a BuzzFeed news. So

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Speaker 1: there's like three different there's two different. It was all right,

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Speaker 1: well before we get to any of that from our

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Speaker 1: aerial sharone never saw what that would be amazing if

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Speaker 1: all they're like really hard hitting ship was framed like

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Speaker 1: they're like the headlines were written by believe what this

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Speaker 1: white national let's just pulled? All right, But first we

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Speaker 1: like to ask our guests, Anna, you might know this.

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Speaker 1: We like to ask our guests, what's something for me?

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Speaker 1: Search history? It's feeling bad who you are? Yeah, I'm

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Speaker 1: gonna pass on this segment because um, in my search history,

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Speaker 1: this is very insider. Um Ivan kuriz Lavik, Australia's got talent, Okay,

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Speaker 1: I like insider for whom if you watch for Australia,

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Speaker 1: if you watch Bachelor in Paradise Australia or The Bachelor

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Speaker 1: at Australia. So there's this guy who's on the hose

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Speaker 1: on Bachelor Australia first and then he went to b

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Speaker 1: I P. Bachelor in Paradise for me. You know, now

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Speaker 1: you put your answers in the dock. Are you misspelling

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Speaker 1: his name? No, that's his name. That's just that's another

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Speaker 1: less so many consonants in a row. He's about yeah name,

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Speaker 1: try some culture Jack. But he's he's a he's about

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Speaker 1: six seven and he considers himself the Channing Tatum of

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Speaker 1: Australia in the sense that he's like like a Magic

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Speaker 1: Mike style dancer. He's a six seven stripper. Well he's

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Speaker 1: not a stripper, he's just more like like his dream

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Speaker 1: is to be like a step up dancer. What do

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Speaker 1: you mean like step up the movie Channing Tatum. Yes,

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Speaker 1: he wants to, like he wants to just be like

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Speaker 1: a fucking like pop in lock and he is one.

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Speaker 1: But he's the corniest one I've ever seen in my

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Speaker 1: life and he uses it. He'll be like, for one

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Speaker 1: in the Bachelotte, he'd be like, girl, I actually did

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Speaker 1: I did a routine for you if you could just

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Speaker 1: like sit there all dance for you. And most of

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Speaker 1: the time he's dancing to no music and it's insane.

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Speaker 1: And then like in Bachelor in Paradise, he's like so

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Speaker 1: frustrated with like this situation with this girl and this guy.

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Speaker 1: Like he's like in like this guy's like I want

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Speaker 1: to ask out your girl, and he's like you're my friend,

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Speaker 1: man in and then he goes, He's like, just I

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

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Speaker 1: this off. And he goes and he's got headphones on

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

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Speaker 1: a sonset. It's the the most insane thing I've ever seen,

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Speaker 1: like beautiful, and he truly believes he's the most suave,

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

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Speaker 1: I need about five years, right in five years, I'm

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Speaker 1: gonna or not even like five years. I think at

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Speaker 1: that time it was like a few years ago. He's like,

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Speaker 1: give me a few years. I will be channing Tatum.

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Speaker 1: First you have to go to Atlanta because all the

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Speaker 1: dancers go to Atlanta, and then I will have made it.

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Speaker 1: I don't know, I don't know where the dancing and

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Speaker 1: I will be making dollars a year, yeah exactly, And

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Speaker 1: um yeah, apparently went on Australia's Got Talent and the

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Speaker 1: clip it's wild. I mean, he's got talent, but he's

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Speaker 1: a six seven dancer, so he just looks like yeah,

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Speaker 1: like he just looks like he's he just can't put

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Speaker 1: like puts them together in a weird way. Well, I'll

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

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

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

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

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Speaker 1: really watch this. It's kind of amazing, like because speaking

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Speaker 1: 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 it'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. He just slams the doors behind him? Anyways,

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Speaker 1: what is something, uh that you think is overrated? Um?

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Speaker 1: I think I'm gonna go with like m like Tuscany.

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Speaker 1: Uh explain where is that? It's in Italy? Oh ship?

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Speaker 1: Yeah No, I mean, like I've said, I just think

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Speaker 1: like certain people like really play it up. Yeah you know,

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Speaker 1: I guess like God's Land or something. Right. Yeah, so well,

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Speaker 1: I for one will not be hidded into such Uh

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Speaker 1: it's such. What the funk are you doing? What are

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Speaker 1: you doing to me? What the fuck? It's I don't

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Speaker 1: understand why you're acting like that? What's the wrestle Crow movie?

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Speaker 1: It is like what the movie where he like goes

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Speaker 1: to under? That's actually a great movie. That's a great

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Speaker 1: underrated under the Tuskan sign. It's like, how can the

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Speaker 1: place be overrated if the whole fucking movie you like

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Speaker 1: is based there? I don't understand. But a great, a

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Speaker 1: great thing that is totally ruined by a whack movie,

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Speaker 1: I guess, and I'm just taking your word for it

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Speaker 1: that it's great. Uh No, really it really is great.

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Speaker 1: I went to one of those phases where I watched

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Speaker 1: all those like kind of like older Women Love Room

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Speaker 1: Wait Russell Crowe isn't an under the tust consent, is he? Yeah,

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Speaker 1: that's Diane Lane that you confusing. Russell Crowe movie is

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Speaker 1: called a Good Year. Oh wait, it's just about him

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Speaker 1: having a good year. Okay, that's overrated. That sounds like

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Speaker 1: my life. Dude directed him a romantic comedy directed and

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Speaker 1: produced by the person who you've always wanted to see

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Speaker 1: direct and produce a romantic comedy, Ridley Scott wo Uh

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Speaker 1: stars Russell Crowe, Marian quote Ard nailed that pronunciation. Uh,

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Speaker 1: what's with that last name? Right? Cot? Patriots? Right? Anyways?

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Speaker 1: Might as well have been Gladiator then, Yeah, it's loosely

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Speaker 1: based on the two thousand four novel the same name. Uh,

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Speaker 1: Gladiator Byela by Gladiator Turbo from American Gladiators. What if

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Speaker 1: something you think is underrated, I'm gonna go with a

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Speaker 1: hot take Orlando cocaine. Orlando Cocaine was going to be good. No,

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Speaker 1: that's my underrated. It is good. It's better than good.

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Speaker 1: So you're serious, right now? You do cocaine in Orlando? No,

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Speaker 1: let's put that on there. Well, okay, so I went

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Speaker 1: to a few theme parks right in order to hit

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Speaker 1: them all in the amount of time we were here.

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Speaker 1: I had to ask goofy at Disney. No, no, I

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Speaker 1: asked one of the other conference. There's another. There's like

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Speaker 1: fifteen conferences happening right now. So I hit up to

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Speaker 1: I r S dudes. I was like, they're holding you're

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Speaker 1: not allowed into the city of Orlando if you don't

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Speaker 1: have a yard around your neck. Yeah, it is kind

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Speaker 1: of fascinating. Yeah, it's like, wow, we're in God's country. Anyway.

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Speaker 1: I R S dudes didn't have any so I hit

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Speaker 1: up the pharmaceuticals. There was also pharmaceutical convention, so I

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Speaker 1: thought he went to the I r S first. Yeah, part, yeah,

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Speaker 1: they part that's probably true. Who do you think, like

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Speaker 1: what convention? Do you think party is the hardest? Real estate?

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Speaker 1: Probably real estate or advertising? Yeah, because I would say

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Speaker 1: podcasting anything. I think podcasters pretty tame, pretty tame, not

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Speaker 1: a lot of wild not a lot of wild ones

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Speaker 1: out at the I heart party man, podcast industry turned.

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Speaker 1: By the way, the heads want to see you Jack,

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Speaker 1: Mr break Dancer. Yeah, well you know yeah, yeah. What

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Speaker 1: is the myth with something people think is true? You

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Speaker 1: know to be false? Um? Nah, you know what this one.

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Speaker 1: I'm quite proud of but you that you can't clogg

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Speaker 1: a hotel toilet. Uh? Is that based on something going on?

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Speaker 1: So what stories are we talking about today? That myth

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Speaker 1: that because I believe most hotel toilets to have industrial

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Speaker 1: flushing that could probably suck a baby through. I think

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Speaker 1: a lot of children. That's a myth. Is there a

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Speaker 1: specific hotel that you think, no, you know, Okay, we

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Speaker 1: gotta get the stories, you know? Uh huh, fair enough, great.

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Speaker 1: I think, um, you clogged a toilet. Here is what

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Speaker 1: I'm gonna do. That's what I'm getting. Let's just say

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Speaker 1: the man who delivered my cake seconds after was not

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Speaker 1: please dry heat on his way out. Um. I would

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Speaker 1: say that the toilets in this hotel are interesting. I

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Speaker 1: flushed it this morning and I had like a Bellaggio

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Speaker 1: hotel fountain situations shoot up. Yeah, it was Vesuvius. They

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Speaker 1: were there trying some beautiful pusuvious. Well it was only

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Speaker 1: it was only for number one, so full disclosure. Okay,

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Speaker 1: don't ask what the stains are on the ceiling. One

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Speaker 1: of the clearest pieces of evidence. That's something that I

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Speaker 1: look at every every now and then. I think I've

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Speaker 1: talked about the fact that I am on the Breitbart

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Speaker 1: News mailing list just to kind of keep an eye

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Speaker 1: on on what they're up to. Uh and a lot

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Speaker 1: a lot of the emails are just scam emails. Just

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Speaker 1: here's what I got the other day, a special message

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Speaker 1: from Bill O'Reilly. Picture of Bill O'Reilly with a silver coin,

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Speaker 1: like a giant silver coin behind him. Uh and it says,

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Speaker 1: dear fellow Americans, some experts say our recession could be

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Speaker 1: on the way. With all the turbulence in the world,

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Speaker 1: it's important to consider putting a portion of what you

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Speaker 1: have earned into an asset that is historically gold and silver.

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Speaker 1: Uh So these are like these old person like financial

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Speaker 1: scam Like they're just looting the elderly essentially, because that's

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Speaker 1: who's who watches them. I just found a website called

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Speaker 1: Bill O'reiley's Precious Metals, and it sounds like he has

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Speaker 1: a whole career in getting you to invest in gold. Also, yea,

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Speaker 1: also sounds like it was written by like an angry

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Speaker 1: ex wife, Bill o'riley's Precious Medals. Uh so precious he

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Speaker 1: forgets his anniversary. There's also an article in the New

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Speaker 1: Republic recently about neutraceuticals, and it asks the question why

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Speaker 1: this scam, right, Why why are they so good at

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Speaker 1: making you have amazing brain power that lasts all day?

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Speaker 1: I know? Why? Why are all the top sellers of

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Speaker 1: neutral suticals right wing media? I didn't realize Joe Rogan

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Speaker 1: is a nutraceutical guy. That makes sense, Yeah, yeah, I

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Speaker 1: just didn't think he was that. I think it's because,

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Speaker 1: like I think, inherently right, like a lot of conservatives

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Speaker 1: already have this feeling of like waning power, so like

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Speaker 1: anything that's like hey, man, fucking let's go back to

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Speaker 1: caveman fucking times. Fucking bodies were robust and powerful. Well,

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Speaker 1: but they were talking about the fact that, like some

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Speaker 1: of some of the images on the nutraceutical like marketing

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Speaker 1: material are actually like an exact match of like a

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Speaker 1: drawing from Marxist material about what capitalism was going to

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Speaker 1: do to us, Like it has like gears and stuff,

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Speaker 1: and like it's basically a human turning into a machine

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Speaker 1: and automaton, right yeah, and automaton like just how you

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Speaker 1: know you're gonna lose your humanity? And these nutraceutical like

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Speaker 1: marketing materials are people doing that, And they're like you're

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

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Speaker 1: capitalist machine man. I mean, that's they want us to

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

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

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Speaker 1: and then happening, 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

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

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

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Speaker 1: like maker, money making machine. And you know, when you

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Speaker 1: think about it, it's a pretty bleak ethos Like the

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Speaker 1: America American right wingers are basically like it's a meritocracy

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Speaker 1: and if you're not making money, that's on you, bro,

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Speaker 1: and like, yeah, you gotta make yourself better earner for

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Speaker 1: your family or you're a fucking loser. And so, like

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Speaker 1: one of the people in the article said, like the

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Speaker 1: left wing is a little bit more skeptic goal about

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Speaker 1: the relationship between labor and employer, and so they wouldn't

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Speaker 1: take as kindly to a product that is all about

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Speaker 1: like making you better employees, right, right, that's why we're like,

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Speaker 1: let's smoke weed and be fucked up at work. Yeah,

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Speaker 1: I guess you're right in here. But the left on

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Speaker 1: the left wing, the people who sell this bullshit, Gwyneth Paltrow. Yeah,

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Speaker 1: there's only one, and it's Gwyneth Paltrow. And I guess

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Speaker 1: it's all different versions, right, because I guess the other

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Speaker 1: like the holistic you know, pseudoscience stuff is the like

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Speaker 1: the left version of nutraceuticals, but it's like for a

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Speaker 1: much more like you know, it feels more fantastic and whimsical. Uh.

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Speaker 1: You want to know what Gwyneth Paltrow's uh neutraceutical is called,

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Speaker 1: but nerd alert. No, it isn't, yes, because it's like, oh,

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Speaker 1: you want to use your brain, nerd, Well, this will

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Speaker 1: make you more alert, dork. I like, the rights version

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Speaker 1: is fucking crave Man power, like I think that was

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Speaker 1: one of the Alex Jones one, like Caveman brainforce or something,

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Speaker 1: and then this fucking nerd learn nerd alert. You want

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Speaker 1: to do? You want to do good at work? You nerd? Anyways, anyway, well,

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Speaker 1: we're gonna take a quick break and we'll be right

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Speaker 1: back and we're back and let's talk about Greenland UM.

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Speaker 1: Greenland is a semi mostly autonomous part of Denmark UM

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Speaker 1: and mostly yeah. Well, well, if you see some videos,

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Speaker 1: it looks like it's also fucking like a slushy melting

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Speaker 1: in the sun right now. It's very terrifying. But anyway,

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Speaker 1: the reason why it's been coming up it is because

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Speaker 1: Donald Trump thinks like countries are like distressed businesses that

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Speaker 1: you could just like offer to buy things like a country. Uh.

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Speaker 1: And the Wall Street Journal was reporting that he's been

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Speaker 1: constantly talking about buying Greenland. So this is from this

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Speaker 1: and this is like behind the scenes, right. It's not

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Speaker 1: like the play where you know, this is the funny

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Speaker 1: thing to say. This is him being like, this is

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Speaker 1: one of those things that you see come out where

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Speaker 1: he's like not saying publicly, but age are like he's

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Speaker 1: asking this ship out loud in meetings, like we come

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Speaker 1: in with something about the economy and he derails the

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Speaker 1: meeting talk about Mr Trump has asked advisors whether the

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Speaker 1: US can acquire Greenland. Listen listened with interest when they

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Speaker 1: discuss it's abundant resources and geopolitical importance, and according to

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Speaker 1: two of the people he asked his White House counsel

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Speaker 1: to look into the idea, so he got the lawyers

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Speaker 1: to look into it. Some of his advisors have supported

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Speaker 1: the concept, saying it was a good economic play. Too

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Speaker 1: of the people said well, others dismissed it as a

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Speaker 1: fleeting fascination that will never come to fruition. And then

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Speaker 1: so basically, you know, after this story developed, the like

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Speaker 1: government of Greenland was like, yeah, look, we're looking like

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Speaker 1: a cool adventure sports destination. Were open for business, but

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Speaker 1: we're out for fucking sale. Please go the funk away.

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Speaker 1: Now that raised like how does a modern country like acquiet? Like,

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Speaker 1: how how did Alaska become a part of the United

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Speaker 1: States and the fifties, Like the United States did not

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Speaker 1: like invade them and militarily make them a part of

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Speaker 1: the country. Is it just like they vote to become

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Speaker 1: a part of the country. This is probably revealing how

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Speaker 1: stupid I am, But fits it. We got it from

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Speaker 1: the Russians, right, so I think it was. I don't

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Speaker 1: know if there was like let's see, oh we bought

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Speaker 1: it for seven point two million, so you can't buy it. Yeah, Trump,

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Speaker 1: it was just through a treaty and they're like all right, fine,

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Speaker 1: pull up with the hashtag Alaskan Alaska in h like

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Speaker 1: brexit Alaskan or yeah he's back Alaska would be bred.

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Speaker 1: The bregsit equivalent in or out Alaska exists. All right,

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Speaker 1: and you take your alert this morning. I don't take it.

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Speaker 1: You injected free based. Seven point two million dollars is

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Speaker 1: a really good price for a last It's actually pretty good.

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Speaker 1: It's our biggest country, but it's our biggest saved by

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Speaker 1: by a mile, like not by a mile, by a

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Speaker 1: large degree large margin. I think we overpaid. It's pretty cool. Actually, yeah,

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Speaker 1: I was in uh, catch a can Alaska. No, No,

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Speaker 1: I didn't. I went on an Alaskan cruise with my

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Speaker 1: grandparents like a few years ago, and I was like,

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Speaker 1: maybe I love cruise ships though, uh, and I had

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Speaker 1: a lot of crap. I'll just say that crab shout

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Speaker 1: out to a lot No crab shout out to Alaska,

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Speaker 1: and they're bounced full season. Briefly on Friday or I

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Speaker 1: guess Thursday night, there was a Trump rally, and just

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Speaker 1: as a we watched a little bit of the coverage together,

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Speaker 1: and he really seems like he's trying to like pump

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Speaker 1: himself up, like talk himself into the idea that he

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Speaker 1: is going to win. Yeah. Yeah, it's weird. It's it's

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Speaker 1: it's so transparent, like it's not real confidence. It's really

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Speaker 1: like that scene and like the end of Book Units

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Speaker 1: where Dirk Digglers like being like you're a big fucking

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Speaker 1: star man. Yeah, everybody like, oh dude, things gotten dark. Yeah,

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Speaker 1: he's really just at one point he was like threatening

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Speaker 1: people's four oh one case. You have no choice but

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Speaker 1: to vote for me, because if you don't vote for me,

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Speaker 1: you're you're four oh one case going down the tubes. What. Yeah,

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Speaker 1: that's one way to motivate. But his yeah, his reasons,

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Speaker 1: like the arguments he's using to convince himself that people

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Speaker 1: are going to ope for him are pretty thin, man.

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Speaker 1: They're like the stock market went up the day after

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Speaker 1: he got elected, and so therefore it would go down

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Speaker 1: the day after if he didn't get elected. And then

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Speaker 1: Joe Biden has rallies that are less fun than his,

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Speaker 1: and he does like a Joe Biden impression where he

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Speaker 1: like does a hangdog thing. Uh. And then his only

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Speaker 1: thing about Elizabeth Warren he was like, I did the

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Speaker 1: Pocahonas thing nailed or remember when I said that really

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Speaker 1: sick thing about He was like, maybe I did it

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Speaker 1: too early, But that's all right, I'll say it again.

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Speaker 1: I can bring it back. Yeah, there's a woman who

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Speaker 1: like literally did like the yish like in the background. Well,

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Speaker 1: I think, yeah, I mean when you look at everything right,

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Speaker 1: and how his policies have putting the economy in a

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Speaker 1: very interesting situation. A lot of people are speculating that, look, look,

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Speaker 1: if the economy begins to tank like in the midst

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Speaker 1: of the elect of the campaign for his reelection, it's

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Speaker 1: gonna be fucking lights out or probably because that's like

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Speaker 1: the one thing he able to be like, well, the

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Speaker 1: economy is doing okay at least, like everything else is

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Speaker 1: in shambles. But as a society, but money, um, and

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Speaker 1: I think when you look at everything that's happening, uh,

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Speaker 1: And most analysts are predicting some kind of some form

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Speaker 1: of a recession to hit between ten or twenty months.

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Speaker 1: It could hit during the election, but before it could

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Speaker 1: hit fucking during the inauguration of whoever the next president is,

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Speaker 1: if or maybe it will be from He's starting to

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Speaker 1: sort of realize he's running out of the tools to

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Speaker 1: kind of fake juice the economy. Um, and that's sort

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Speaker 1: of the thing. And he's gonna have to own this

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Speaker 1: recession because he came in. He didn't come in to

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Speaker 1: fix ship. He came into a very healthy economy. Like

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Speaker 1: the stats were like between seventeen January seventeen, right when

420
00:26:44,240 --> 00:26:47,200
Speaker 1: Trump was sworn in, the count economy created sixteen point

421
00:26:47,240 --> 00:26:50,080
Speaker 1: one million jobs. Five million have been added under Trump,

422
00:26:50,200 --> 00:26:52,359
Speaker 1: the unemployment rate had been cut by more than half.

423
00:26:52,840 --> 00:26:55,680
Speaker 1: And then as of June two nine, when the recession ended,

424
00:26:55,680 --> 00:26:59,800
Speaker 1: the expansion had been underway for ninety one months. So uh,

425
00:27:00,040 --> 00:27:04,399
Speaker 1: you know that everything that he inherited was healthy. So

426
00:27:04,480 --> 00:27:07,080
Speaker 1: anything that is fucked up he will have to own. However,

427
00:27:07,760 --> 00:27:10,280
Speaker 1: we know that he would never take any kind of

428
00:27:10,280 --> 00:27:13,200
Speaker 1: ownership of any sort of faltering economy because he's gone

429
00:27:13,240 --> 00:27:16,720
Speaker 1: from blaming the fake news media to the FED, like

430
00:27:16,760 --> 00:27:19,879
Speaker 1: he's really trying to set up like like fall people

431
00:27:20,560 --> 00:27:22,240
Speaker 1: like to just be like no I was because of that,

432
00:27:22,280 --> 00:27:24,720
Speaker 1: it was because of the media or some ship. Um

433
00:27:24,840 --> 00:27:28,040
Speaker 1: and uh there like there are people also pointed like

434
00:27:28,080 --> 00:27:31,080
Speaker 1: the tax cuts, Yes, he gave a quick boost, but

435
00:27:31,160 --> 00:27:33,720
Speaker 1: it's temporary. And now the I R S is like yo,

436
00:27:33,920 --> 00:27:36,760
Speaker 1: like we have not we're seeing really low revenues from

437
00:27:36,920 --> 00:27:40,119
Speaker 1: taxes because of these cuts. Yeah, and then plus the

438
00:27:40,320 --> 00:27:44,000
Speaker 1: and the China thing. Uh that's also just terrible policy,

439
00:27:44,359 --> 00:27:47,560
Speaker 1: and like, yeah, Robert Reich is like, look, you're you

440
00:27:47,560 --> 00:27:50,800
Speaker 1: have like the two largest economies fucking fighting each other.

441
00:27:51,720 --> 00:27:53,960
Speaker 1: It's not good for anyone. And then add to that,

442
00:27:54,040 --> 00:27:57,200
Speaker 1: like the other five economies around the world that are

443
00:27:57,280 --> 00:28:01,520
Speaker 1: looking a little bit recession e uh. So yeah, the

444
00:28:01,520 --> 00:28:04,560
Speaker 1: only people I hear saying like, actually, what he's doing

445
00:28:04,680 --> 00:28:08,200
Speaker 1: is really helping are people whose financial interests are tied

446
00:28:08,240 --> 00:28:12,679
Speaker 1: to like big corporations, because yeah, you get richer by

447
00:28:12,840 --> 00:28:16,560
Speaker 1: having somebody in there who's just doing ship to make

448
00:28:16,640 --> 00:28:19,919
Speaker 1: rich people richer. That's really like the only people you

449
00:28:19,960 --> 00:28:23,160
Speaker 1: hear that. And then like Trump apologists, So I think

450
00:28:23,200 --> 00:28:24,919
Speaker 1: one of the reasons he might be shook. And he

451
00:28:24,960 --> 00:28:27,320
Speaker 1: did seem the most shook by Elizabeth Warren, like he

452
00:28:27,400 --> 00:28:29,800
Speaker 1: was just going through and rattling off everybody, and then

453
00:28:30,000 --> 00:28:32,240
Speaker 1: he didn't really have anything to say about her, even

454
00:28:32,280 --> 00:28:35,520
Speaker 1: though she's the one who the Democratic candidate who is

455
00:28:35,600 --> 00:28:39,920
Speaker 1: making the most news because her polls are going going

456
00:28:40,080 --> 00:28:43,240
Speaker 1: up quite a bit. Um But so a Fox News

457
00:28:43,280 --> 00:28:48,320
Speaker 1: poll came out, uh and found Trump with thirty nine

458
00:28:48,360 --> 00:28:53,840
Speaker 1: percent support among registered voters. Among registered voters and head

459
00:28:53,880 --> 00:28:59,200
Speaker 1: to head matchups against Bernie Sanders, Kamala Harris, Elizabeth Warren,

460
00:28:59,760 --> 00:29:03,360
Speaker 1: uh Biden, they in all of them, he was like

461
00:29:03,400 --> 00:29:06,640
Speaker 1: between thirty eight and thirty nine percent support with them,

462
00:29:06,760 --> 00:29:13,240
Speaker 1: and they were at like, yeah, so they're all fucking

463
00:29:13,240 --> 00:29:16,200
Speaker 1: smoking him. He loses by twelve to Biden, than like

464
00:29:16,360 --> 00:29:20,480
Speaker 1: nine and to Sanders, I think six to Harrison Warren. Yeah,

465
00:29:20,520 --> 00:29:24,360
Speaker 1: I mean, he can't crack thirty eight percent. And I

466
00:29:24,400 --> 00:29:26,920
Speaker 1: think but that's what the fear of a third party

467
00:29:26,960 --> 00:29:28,960
Speaker 1: candidate is is because if if you can get to

468
00:29:29,040 --> 00:29:32,320
Speaker 1: like you can it's like a six point difference, maybe

469
00:29:32,320 --> 00:29:35,600
Speaker 1: you can splinter off that little bit with you know,

470
00:29:35,960 --> 00:29:40,840
Speaker 1: fucking Jill Stein type candidate. Um. But yeah, it's uh he.

471
00:29:41,080 --> 00:29:43,480
Speaker 1: I would be also pumping myself up in the mirror

472
00:29:43,520 --> 00:29:45,880
Speaker 1: too if you're looking at this, because yeah, I mean,

473
00:29:45,880 --> 00:29:49,240
Speaker 1: like on top of that, the there's like a majority

474
00:29:49,280 --> 00:29:52,400
Speaker 1: of Americans are saying that like Donald's like Donald Trump

475
00:29:52,520 --> 00:29:55,120
Speaker 1: is creating an atmosphere where there are there will be

476
00:29:55,160 --> 00:29:57,560
Speaker 1: more mass shootings. So there's a lot of people they

477
00:29:57,560 --> 00:30:01,000
Speaker 1: already have a lot of anxiety tied to his presidency.

478
00:30:01,040 --> 00:30:03,960
Speaker 1: But yeah, I mean the supporters, it's like we've always

479
00:30:03,960 --> 00:30:07,720
Speaker 1: seen that's pretty much where it is. The country is

480
00:30:07,800 --> 00:30:11,520
Speaker 1: absolutely racist. Did you see that Amnesty International issue to

481
00:30:11,600 --> 00:30:16,160
Speaker 1: travel warning to coming to America? Yeah, for shooting. Yeah,

482
00:30:16,200 --> 00:30:18,480
Speaker 1: they're like, guess what now America is dangerous? And I

483
00:30:18,520 --> 00:30:21,360
Speaker 1: think even like why they were like, yo, if you

484
00:30:21,400 --> 00:30:23,760
Speaker 1: go there, it's not looking good for like brown people either.

485
00:30:24,440 --> 00:30:27,960
Speaker 1: So yeah, yeah. And one other kind of interesting stat

486
00:30:27,960 --> 00:30:31,640
Speaker 1: they talked about is Trump, you know, ran against Clinton

487
00:30:31,880 --> 00:30:36,200
Speaker 1: and they both had really negative perceptions, and when it

488
00:30:36,240 --> 00:30:39,640
Speaker 1: was a head to head matchup between people who viewed

489
00:30:39,680 --> 00:30:42,240
Speaker 1: them both negatively, people were like, well, we already know

490
00:30:42,280 --> 00:30:45,920
Speaker 1: what happens with Clinton, let's give Trump a shot, Like

491
00:30:46,040 --> 00:30:49,920
Speaker 1: what's the worst that can happen? Basically, and uh right,

492
00:30:50,000 --> 00:30:53,040
Speaker 1: we found out. And now people went asked that same

493
00:30:53,120 --> 00:30:55,760
Speaker 1: question because that is like an actual thing people pulled about,

494
00:30:55,840 --> 00:30:59,360
Speaker 1: like if you if you have negative perceptions of both candidates,

495
00:30:59,560 --> 00:31:02,000
Speaker 1: who do you side with? And they did the same

496
00:31:02,000 --> 00:31:05,960
Speaker 1: thing with Biden and they said Biden destroying him. Yeah,

497
00:31:06,360 --> 00:31:10,120
Speaker 1: three to one. People are like, whoop, Biden is an

498
00:31:10,320 --> 00:31:17,360
Speaker 1: absent minded loser. Wow, lightweight, lateweight be so old. Uh,

499
00:31:17,440 --> 00:31:20,240
Speaker 1: let's talk about insurance companies, guys, this is they get

500
00:31:20,240 --> 00:31:23,520
Speaker 1: a bad rap. Yeah, let's let's leave them alone. State

501
00:31:23,560 --> 00:31:29,080
Speaker 1: Farm Farmers Erie, which is apparently a car ensure. So

502
00:31:29,200 --> 00:31:33,200
Speaker 1: there's an article in BuzzFeed. Uh, it's actually BuzzFeed News.

503
00:31:33,200 --> 00:31:38,320
Speaker 1: That's an investigative report where it looks into this practice.

504
00:31:38,400 --> 00:31:41,680
Speaker 1: It feels a little bit like the relationship between doctors

505
00:31:41,680 --> 00:31:46,720
Speaker 1: and pharmaceutical companies. It's the relationship between local police forces

506
00:31:46,920 --> 00:31:51,480
Speaker 1: and insurance companies. Basically, you know, insurance companies are these

507
00:31:51,560 --> 00:31:56,720
Speaker 1: huge multibillion dollar companies, so in America they're going to

508
00:31:56,800 --> 00:32:00,400
Speaker 1: have a shipload of power. And in the early indees,

509
00:32:00,480 --> 00:32:03,040
Speaker 1: they made a couple of changes, so they realized that

510
00:32:03,080 --> 00:32:06,560
Speaker 1: they were losing money to fraud claims. There a study

511
00:32:06,600 --> 00:32:09,280
Speaker 1: came out that said one in ten insurance claims was fraud.

512
00:32:09,720 --> 00:32:14,640
Speaker 1: Experts think that is a wild over exaggeration, but they

513
00:32:14,680 --> 00:32:18,400
Speaker 1: still like that was what they didn't give their just

514
00:32:18,480 --> 00:32:26,080
Speaker 1: like ten percent, they say, is probably not true. Are right.

515
00:32:26,400 --> 00:32:31,920
Speaker 1: It's an internal study for the insurance and yeah, so

516
00:32:32,320 --> 00:32:35,760
Speaker 1: to address that problem and it's succeeded. It's made them

517
00:32:35,800 --> 00:32:39,680
Speaker 1: like way more profitable. They did two things. They pushed

518
00:32:39,720 --> 00:32:45,120
Speaker 1: this legislation where people aren't able to sue insurance companies

519
00:32:45,200 --> 00:32:49,520
Speaker 1: who accused them of fraud. So basically they can accuse

520
00:32:49,640 --> 00:32:53,840
Speaker 1: people of fraud and you know, basically bankrupt people like

521
00:32:53,880 --> 00:32:56,040
Speaker 1: a lot a lot of people end up like homeless

522
00:32:56,360 --> 00:33:03,400
Speaker 1: or uh you know, just you yeah, death by court fees.

523
00:33:03,720 --> 00:33:07,040
Speaker 1: You know, if you're a contractor, then like being accused

524
00:33:07,160 --> 00:33:09,960
Speaker 1: of insurance fraud, which is one of the stories they tell,

525
00:33:10,280 --> 00:33:13,360
Speaker 1: like the person lost his job and like lost all

526
00:33:13,400 --> 00:33:16,360
Speaker 1: this work. He had like fifty employees and he had

527
00:33:16,400 --> 00:33:19,600
Speaker 1: to fire most of them, but because he was wrongly

528
00:33:19,600 --> 00:33:21,920
Speaker 1: accused of fraud, because he was wrongly accused of fraud

529
00:33:22,360 --> 00:33:24,800
Speaker 1: because what was the claim that he had and they're like, no,

530
00:33:24,960 --> 00:33:28,360
Speaker 1: that's fraud. The way he worked was people would come

531
00:33:28,400 --> 00:33:31,160
Speaker 1: to him to fix stuff, and the reason he was

532
00:33:31,200 --> 00:33:34,320
Speaker 1: really popular is because he would deal with the insurance companies.

533
00:33:34,680 --> 00:33:39,680
Speaker 1: Basically go and adjudicate the situation with the insurance companies

534
00:33:39,720 --> 00:33:42,080
Speaker 1: and he had a relationship with them, so you know,

535
00:33:42,120 --> 00:33:45,080
Speaker 1: he figured he could do it more effectively than like

536
00:33:45,200 --> 00:33:49,040
Speaker 1: letting the people themselves deal with the insurance companies. But

537
00:33:49,200 --> 00:33:51,800
Speaker 1: because he was you know, getting paid out on so

538
00:33:51,840 --> 00:33:55,880
Speaker 1: many insurance claims. Uh, the insurance companies were like, this

539
00:33:55,960 --> 00:33:58,080
Speaker 1: is not good. This is a money loser for us,

540
00:33:58,320 --> 00:34:01,280
Speaker 1: So let's take this guy down. And so they wrong

541
00:34:01,280 --> 00:34:03,680
Speaker 1: accused them fraud, and then they're wrongly accused him of fraud.

542
00:34:03,880 --> 00:34:07,800
Speaker 1: And they in some cases, the insurance companies are providing

543
00:34:07,840 --> 00:34:10,840
Speaker 1: the evidence to the police officers and like it's a

544
00:34:10,880 --> 00:34:14,120
Speaker 1: report on like arson or something. They'll be like, yeah,

545
00:34:14,160 --> 00:34:18,760
Speaker 1: this there's traces of gasoline and fire accelerance in this fire,

546
00:34:18,960 --> 00:34:22,279
Speaker 1: Like you need to like accuse this guy he he

547
00:34:22,360 --> 00:34:26,960
Speaker 1: started the charge them fraud or something. Yeah. All, but

548
00:34:27,040 --> 00:34:31,560
Speaker 1: they're but these like the the evidence that they're providing

549
00:34:31,600 --> 00:34:36,000
Speaker 1: them is coming from their own like from their own yeah,

550
00:34:36,000 --> 00:34:39,160
Speaker 1: and it's not from a fucking even law enforcement investigation,

551
00:34:39,239 --> 00:34:42,239
Speaker 1: like hey, we say there's proof of this. So the

552
00:34:42,239 --> 00:34:45,560
Speaker 1: other thing the insurance companies are doing is they're subsidizing

553
00:34:45,640 --> 00:34:49,480
Speaker 1: local law enforcement. Uh, they're giving them money to hire

554
00:34:49,680 --> 00:34:52,719
Speaker 1: investigators for insurance fraud because it used to be a

555
00:34:52,719 --> 00:34:55,880
Speaker 1: thing that like law enforcement just didn't have the bandwidth for.

556
00:34:56,080 --> 00:34:58,480
Speaker 1: So like when an insurance fraud claimed came in, they

557
00:34:58,480 --> 00:35:01,480
Speaker 1: were like, well, we don't really have the time or energy.

558
00:35:01,560 --> 00:35:06,319
Speaker 1: So the insurance industry started investing in these investigators and

559
00:35:06,400 --> 00:35:10,239
Speaker 1: like providing law enforcement with them, and it became this

560
00:35:10,320 --> 00:35:13,719
Speaker 1: like cozy like pay for play, Like we give your

561
00:35:14,120 --> 00:35:17,080
Speaker 1: police department like a bunch of money and allow you

562
00:35:17,120 --> 00:35:21,399
Speaker 1: to hire these investigators, and in return, like you use

563
00:35:21,560 --> 00:35:24,680
Speaker 1: our data, you to charge these people, you help us

564
00:35:24,800 --> 00:35:28,000
Speaker 1: charge these people with fraud. And it's just it's really

565
00:35:28,040 --> 00:35:30,560
Speaker 1: like they don't have a lot of stats, but it

566
00:35:30,760 --> 00:35:33,880
Speaker 1: seems like there's a lot of false positives. An expert

567
00:35:33,880 --> 00:35:37,200
Speaker 1: on the situation said, it's kind of the equivalent of

568
00:35:37,800 --> 00:35:40,959
Speaker 1: tuna nets catching dolphins. It's like, yeah, you're gonna catch

569
00:35:41,080 --> 00:35:44,000
Speaker 1: some fraudulent claims, but you're also catching a lot of

570
00:35:44,440 --> 00:35:50,200
Speaker 1: real people, and you're like destroying honest people who spent

571
00:35:50,360 --> 00:35:53,840
Speaker 1: money and like to trust your company to be insured.

572
00:35:53,880 --> 00:35:56,200
Speaker 1: And then just because they're like we're losing money, we're

573
00:35:56,200 --> 00:35:58,000
Speaker 1: gonna accuse you of fraud and are they just like

574
00:35:58,080 --> 00:36:01,520
Speaker 1: celebrating Yeah. Yeah. So people are then losing their job

575
00:36:01,560 --> 00:36:04,719
Speaker 1: because they're arrested. Like this one woman, like she wasn't

576
00:36:04,719 --> 00:36:06,879
Speaker 1: even a contractor. It had nothing to do with her job.

577
00:36:06,920 --> 00:36:09,680
Speaker 1: She worked at Walmart, but a house she was renting

578
00:36:09,719 --> 00:36:14,440
Speaker 1: burned down. They arrested her for like arson. For arson,

579
00:36:15,480 --> 00:36:18,520
Speaker 1: she was facing twenty years in prison, and then she

580
00:36:18,880 --> 00:36:22,320
Speaker 1: just like desperately wrote all these letters to any lawyer

581
00:36:22,320 --> 00:36:25,280
Speaker 1: who would take her case pro bono. Was like, I'm

582
00:36:25,320 --> 00:36:28,000
Speaker 1: like out of options. I'm gonna go to jail if

583
00:36:28,080 --> 00:36:30,360
Speaker 1: you don't help me. This lawyer just out of the

584
00:36:30,400 --> 00:36:34,120
Speaker 1: kindness of his heart took her case and found that

585
00:36:34,200 --> 00:36:37,120
Speaker 1: they were using like I said earlier, they were using

586
00:36:37,400 --> 00:36:40,799
Speaker 1: a study by the insurance company that just was provided

587
00:36:40,840 --> 00:36:44,360
Speaker 1: to them, and it was bullshit. It was like based

588
00:36:44,400 --> 00:36:47,600
Speaker 1: on faulty science. And her case was thrown out. But

589
00:36:47,680 --> 00:36:51,600
Speaker 1: she's still homeless from all the you know, losing her job.

590
00:36:51,680 --> 00:36:55,640
Speaker 1: So they still didn't pay out. I don't think they did. No, Yeah,

591
00:36:55,800 --> 00:36:59,640
Speaker 1: So they didn't pay out and she's destitute, has nothing. Yeah,

592
00:36:59,640 --> 00:37:02,719
Speaker 1: there's an instance. So this guy who was clearing all

593
00:37:02,760 --> 00:37:05,239
Speaker 1: the claims because he was a big contractor and I

594
00:37:05,280 --> 00:37:08,960
Speaker 1: think the Indiana area. The thing that like ultimately like

595
00:37:09,360 --> 00:37:12,400
Speaker 1: caused them to really get pissed at him was this

596
00:37:12,480 --> 00:37:15,440
Speaker 1: big hail storm that had like just damaged all these

597
00:37:15,480 --> 00:37:19,879
Speaker 1: people's homes and cars, and he, you know, was doing

598
00:37:19,920 --> 00:37:22,840
Speaker 1: a lot of repairing and getting paid by the insurance companies,

599
00:37:23,160 --> 00:37:27,480
Speaker 1: and like State Farm head an investigator like go after

600
00:37:27,600 --> 00:37:32,319
Speaker 1: him on all these different fraud claims, and when they

601
00:37:32,360 --> 00:37:35,359
Speaker 1: got him arrested, the guy, the State Farm guy sent

602
00:37:35,440 --> 00:37:38,799
Speaker 1: around a drawing of a stick figure getting raped in

603
00:37:38,920 --> 00:37:43,120
Speaker 1: prison and was like hot, like celebrating the fact that

604
00:37:43,200 --> 00:37:48,680
Speaker 1: he got this guy arrested turned out to be falsely accused. Uh,

605
00:37:48,719 --> 00:37:51,760
Speaker 1: he was facing like a lot of jail time because

606
00:37:52,160 --> 00:37:54,440
Speaker 1: of this work. And that guy who sent around that

607
00:37:54,880 --> 00:37:58,000
Speaker 1: drawing like won an award for being the best like

608
00:37:58,160 --> 00:38:01,959
Speaker 1: insurance fraud investigator in the country. So it's like, this

609
00:38:02,080 --> 00:38:05,760
Speaker 1: is happening, and that's like them thinking that the system

610
00:38:05,840 --> 00:38:07,920
Speaker 1: is working. I wonder if they're like the evidence the

611
00:38:08,000 --> 00:38:10,359
Speaker 1: game was like yeah, look, obviously I don't even know

612
00:38:10,400 --> 00:38:13,879
Speaker 1: what hal is. I'm here to debate if what is hale? Like, yeah,

613
00:38:13,920 --> 00:38:16,240
Speaker 1: there are these dents. I don't see where it came from. Yeah,

614
00:38:16,280 --> 00:38:20,200
Speaker 1: but I mean it's just how American capitalism works. And

615
00:38:20,640 --> 00:38:22,840
Speaker 1: like the way that this story came about. This is

616
00:38:22,880 --> 00:38:25,880
Speaker 1: one of those investigative reports where they were like, if

617
00:38:25,920 --> 00:38:28,080
Speaker 1: you have a story, just like email it to us,

618
00:38:28,280 --> 00:38:31,759
Speaker 1: and so they just enough people had emailed them too

619
00:38:32,080 --> 00:38:33,719
Speaker 1: for them to be like, Okay, it seems like there

620
00:38:33,800 --> 00:38:35,920
Speaker 1: might be a thing here because otherwise, like you just

621
00:38:35,960 --> 00:38:38,840
Speaker 1: don't find out about this. It's just like a consumer

622
00:38:38,920 --> 00:38:43,240
Speaker 1: advocacy story. But consumers get fucked by multibillion dollar companies,

623
00:38:43,280 --> 00:38:46,400
Speaker 1: like they don't they It's just such a mismatch in

624
00:38:46,400 --> 00:38:49,799
Speaker 1: America because you know, for the same reason that we're

625
00:38:49,840 --> 00:38:53,839
Speaker 1: allowed to drink mountain dew. Uh, and you know the

626
00:38:53,880 --> 00:38:59,040
Speaker 1: European Union is not because the Pepsi corporation has a

627
00:38:59,080 --> 00:39:02,640
Speaker 1: shipload of money and let us poison people. Yeah, let

628
00:39:02,680 --> 00:39:06,879
Speaker 1: us poison people because this thing is delicious. And did

629
00:39:06,960 --> 00:39:10,279
Speaker 1: any of these insurance companies like comment back about this,

630
00:39:10,480 --> 00:39:13,719
Speaker 1: like did they Yeah, they just deny it and yeah,

631
00:39:13,800 --> 00:39:16,120
Speaker 1: so is there any way like how do the what

632
00:39:16,239 --> 00:39:18,880
Speaker 1: how does the pendulum swing the other way? So the

633
00:39:18,920 --> 00:39:21,239
Speaker 1: insurance companies are accountable or this is just one of

634
00:39:21,239 --> 00:39:23,000
Speaker 1: those things where they're like, we just need to drop

635
00:39:23,040 --> 00:39:27,279
Speaker 1: people's attention to this practice. It didn't seem like they

636
00:39:27,280 --> 00:39:31,360
Speaker 1: were referring to many other like mainstream media reports on this,

637
00:39:31,480 --> 00:39:33,880
Speaker 1: So I think I think because they're commercially the more

638
00:39:34,320 --> 00:39:37,160
Speaker 1: advertising on the right, So I think people need to

639
00:39:37,440 --> 00:39:40,400
Speaker 1: like really kind of push for some sort of reform.

640
00:39:41,239 --> 00:39:43,720
Speaker 1: Like I think the main thing they need is because

641
00:39:43,719 --> 00:39:46,400
Speaker 1: the insurance company has been like doing this for years

642
00:39:46,480 --> 00:39:48,960
Speaker 1: and because they have so much money to pay lawyers.

643
00:39:49,320 --> 00:39:54,360
Speaker 1: All fifty states have these laws where people aren't allowed

644
00:39:54,400 --> 00:39:57,799
Speaker 1: to sue them if they're accused of fraud wrongly. So

645
00:39:57,840 --> 00:40:02,239
Speaker 1: if your life is ruined because as human an insurance claim,

646
00:40:02,280 --> 00:40:04,920
Speaker 1: there's no way to super damage, the super damage is

647
00:40:04,960 --> 00:40:07,960
Speaker 1: at all. Um. The one thing that is interesting about

648
00:40:08,000 --> 00:40:10,759
Speaker 1: that BuzzFeed article is that when you get to the end,

649
00:40:10,800 --> 00:40:14,160
Speaker 1: it actually tells you which Harry Potter character each insuring

650
00:40:14,280 --> 00:40:18,560
Speaker 1: p rider is. And I thought that was really interesting. Yeah, yeah,

651
00:40:18,600 --> 00:40:21,839
Speaker 1: I was. I was surprised by you know, they're all

652
00:40:21,880 --> 00:40:28,960
Speaker 1: slithering and turns out, umf we'll hopeful puff too. My

653
00:40:29,080 --> 00:40:31,719
Speaker 1: fear it's gonna happen to me, but you know it

654
00:40:31,719 --> 00:40:35,160
Speaker 1: can happen to literally any of us. That sucks so bad. Yeah,

655
00:40:35,400 --> 00:40:37,400
Speaker 1: I don't get especially well, you have you do a

656
00:40:37,400 --> 00:40:39,600
Speaker 1: bit in the office, or you keep saying you're got

657
00:40:39,600 --> 00:40:44,400
Speaker 1: an injury at work and what happened. Well, you know,

658
00:40:44,520 --> 00:40:46,279
Speaker 1: I have some investigators who may want to talk to you.

659
00:40:46,840 --> 00:40:48,680
Speaker 1: All right, We're gonna take a quick break. We'll be

660
00:40:48,719 --> 00:41:02,240
Speaker 1: back with more Epstein bullshit, another stuff, and we're back

661
00:41:02,840 --> 00:41:08,120
Speaker 1: and more Epstein news. This story just every day there's

662
00:41:08,400 --> 00:41:14,040
Speaker 1: something just incredible and outrageous. The latest is that he

663
00:41:15,239 --> 00:41:18,560
Speaker 1: was just sitting in a meeting room with the lawyers

664
00:41:18,680 --> 00:41:21,040
Speaker 1: for eight hours a day just because he didn't want

665
00:41:21,040 --> 00:41:23,880
Speaker 1: to be in his cell. Most other people you could

666
00:41:23,920 --> 00:41:26,440
Speaker 1: maybe get an hour with your lawyer, but it was

667
00:41:27,160 --> 00:41:30,480
Speaker 1: it was a scarce resource, like getting this meeting room.

668
00:41:30,600 --> 00:41:34,560
Speaker 1: And you know, there were only two meeting rooms where

669
00:41:34,640 --> 00:41:37,920
Speaker 1: for this meeting rooms for that section of the prison,

670
00:41:37,960 --> 00:41:39,680
Speaker 1: I think there's ten in a different one, but for

671
00:41:39,800 --> 00:41:42,760
Speaker 1: Shoe special housing unit, there's only there are only two.

672
00:41:42,920 --> 00:41:45,720
Speaker 1: And like so people were being turned away from having

673
00:41:46,080 --> 00:41:48,400
Speaker 1: like people who needed to actually meet what they were like,

674
00:41:48,480 --> 00:41:50,040
Speaker 1: oh yeah, well you're gonna have to wait for the

675
00:41:50,040 --> 00:41:52,200
Speaker 1: other one, and there's like a two hour wait. A

676
00:41:52,280 --> 00:41:56,719
Speaker 1: lawyer would just have to sit there. And one of

677
00:41:56,760 --> 00:42:02,120
Speaker 1: the people, one of the lawyers for another inmate who

678
00:42:02,280 --> 00:42:08,080
Speaker 1: like witnessed this, reported a very young, pretty woman being

679
00:42:08,160 --> 00:42:10,560
Speaker 1: one of the people who sat with him in the

680
00:42:10,680 --> 00:42:15,120
Speaker 1: locked room. That was his attorney. I think she might

681
00:42:15,160 --> 00:42:17,480
Speaker 1: have been like a first year associate or she was

682
00:42:17,600 --> 00:42:20,360
Speaker 1: very young. They said she was in brunch attire. They like,

683
00:42:20,360 --> 00:42:24,320
Speaker 1: sheouldn't necessarily look like she was like dressed. I don't know.

684
00:42:24,320 --> 00:42:29,200
Speaker 1: They were like just very casual. That's what I described weird,

685
00:42:28,640 --> 00:42:31,960
Speaker 1: Like they were in brunch attire. I don't think they

686
00:42:32,000 --> 00:42:36,759
Speaker 1: were a lawyer. She wasn't dress like a lawyer. She

687
00:42:36,840 --> 00:42:39,239
Speaker 1: wasn't carrying any files or anything like they were like,

688
00:42:39,480 --> 00:42:45,160
Speaker 1: it was just weird. And apparently though, so like David Patton,

689
00:42:45,200 --> 00:42:47,359
Speaker 1: who's executive director of the Federal Defenders of the New

690
00:42:47,440 --> 00:42:49,600
Speaker 1: York which is like a nonprofit that does you know,

691
00:42:49,680 --> 00:42:54,120
Speaker 1: like low cost or free legal representation for people, he said,

692
00:42:54,160 --> 00:42:58,080
Speaker 1: it's very unusual and of all federal defendants are represented

693
00:42:58,120 --> 00:43:00,760
Speaker 1: by his office or assigned private turns who are paid

694
00:43:00,800 --> 00:43:04,200
Speaker 1: statutory amounts and they're sitting there waiting, and that's basically

695
00:43:04,200 --> 00:43:09,800
Speaker 1: just like our taxpayer dollars, right, paying so that Jeffrey

696
00:43:09,800 --> 00:43:15,720
Speaker 1: Epstein can just like chill with a pretty woman. Yeah yeah, yeah, well,

697
00:43:15,760 --> 00:43:19,200
Speaker 1: I mean there's this every day. There's like always a

698
00:43:19,280 --> 00:43:23,520
Speaker 1: new new piece and then Gizlon or get Ji Lane

699
00:43:23,560 --> 00:43:26,919
Speaker 1: or whatever lane we like. I remember at first, people

700
00:43:26,960 --> 00:43:30,680
Speaker 1: like she's cooped up in Massachusetts or something. Right, Well, no,

701
00:43:30,760 --> 00:43:32,680
Speaker 1: but that's what a lot of the reporting was. And

702
00:43:32,719 --> 00:43:35,120
Speaker 1: then she just emerged at an In and Out. Yeah,

703
00:43:35,560 --> 00:43:39,200
Speaker 1: so she apparently she left. She left that Boston mansion

704
00:43:39,360 --> 00:43:42,000
Speaker 1: that we thought she was at apparently a month ago.

705
00:43:42,640 --> 00:43:46,240
Speaker 1: And now she's been in l a and was eating

706
00:43:46,280 --> 00:43:50,480
Speaker 1: a an in out burger just chowing. Hey, speaking of burgers,

707
00:43:50,800 --> 00:43:53,960
Speaker 1: where's the best place to get a burger in your state?

708
00:43:54,200 --> 00:43:57,520
Speaker 1: You can find out on trip Advisor. It was a

709
00:43:57,560 --> 00:44:00,080
Speaker 1: great ad. I know that sounded like an ad didn't it.

710
00:44:00,160 --> 00:44:05,399
Speaker 1: So trip Advisor used user feedback to publish an article

711
00:44:05,440 --> 00:44:07,399
Speaker 1: of where to get the best burger and the state.

712
00:44:08,520 --> 00:44:12,400
Speaker 1: Uh yeah. What's funny is even these states I've been to,

713
00:44:12,560 --> 00:44:16,000
Speaker 1: I've never been to these places. So what California's is

714
00:44:16,040 --> 00:44:20,960
Speaker 1: Pearls in San Francisco, I've been there? Is that good? Yeah?

715
00:44:20,960 --> 00:44:25,799
Speaker 1: I don't even know. Oh what else? What else? Jack?

716
00:44:25,800 --> 00:44:28,360
Speaker 1: You've lived in Kentucky? Do you go to Mad Mike's

717
00:44:28,360 --> 00:44:33,919
Speaker 1: Burgers and Fries in Newport? No, you've been to uh, Massachusetts,

718
00:44:33,960 --> 00:44:36,520
Speaker 1: Flip Side and Columbus. Look, I'm just gonna read a

719
00:44:36,520 --> 00:44:38,160
Speaker 1: couple of and ze, can you tell me if these

720
00:44:38,200 --> 00:44:41,040
Speaker 1: are real, okay, and if it is that good, Arizona's

721
00:44:41,120 --> 00:44:47,440
Speaker 1: Geez Burgers, I don't know. Connecticut Goldburgers, Summer House in Delaware, Florida,

722
00:44:47,960 --> 00:44:52,040
Speaker 1: Brooks Gourmet Burgers and Dogs, The Midtown Grill in Clarksville, Georgia.

723
00:44:52,680 --> 00:44:56,080
Speaker 1: Black Iron Burger on thirty eight Street in New York City,

724
00:44:56,120 --> 00:45:01,480
Speaker 1: West thirty eight is New York Susburger I've not I

725
00:45:01,560 --> 00:45:04,439
Speaker 1: like in Iowa City Shortz Burger and Shine. I'm so far.

726
00:45:04,480 --> 00:45:06,360
Speaker 1: I like that name the best that feels that feels

727
00:45:06,400 --> 00:45:09,239
Speaker 1: like a good thing to me. Burger and Shine. Yeah,

728
00:45:09,600 --> 00:45:12,960
Speaker 1: like you can get a shoe shine there maybe more moonshine, No,

729
00:45:13,080 --> 00:45:16,760
Speaker 1: probably shoes. I like that. Yeah, just a really diverse

730
00:45:16,840 --> 00:45:19,560
Speaker 1: business to have a really good burger. And also you know,

731
00:45:19,640 --> 00:45:23,239
Speaker 1: have someone you know spiff up your penny loafers, your wingtips.

732
00:45:23,840 --> 00:45:26,160
Speaker 1: It kind of makes me feel better that like all

733
00:45:26,200 --> 00:45:28,680
Speaker 1: the burger places or places that we've never heard of,

734
00:45:28,800 --> 00:45:31,280
Speaker 1: you know, yeah, so you don't know what you're missing

735
00:45:31,280 --> 00:45:34,000
Speaker 1: out on. Yeah, but also just like knowing that it's

736
00:45:34,680 --> 00:45:37,520
Speaker 1: it's not like a chain right right, right right right,

737
00:45:37,920 --> 00:45:45,279
Speaker 1: It would be like like t G I right, well,

738
00:45:45,320 --> 00:45:48,040
Speaker 1: one of the images it looks like chilies is like

739
00:45:48,480 --> 00:45:50,880
Speaker 1: one of the places, but I guess that's just their paper.

740
00:45:51,400 --> 00:45:53,400
Speaker 1: But they're in the in the food basket. We've got

741
00:45:53,480 --> 00:45:58,880
Speaker 1: a health alert, guys. There is a mysterious health problem happening.

742
00:45:58,920 --> 00:46:01,880
Speaker 1: It's it's it appears to be like a lung infection,

743
00:46:02,000 --> 00:46:06,000
Speaker 1: but it ends up leaving people on ventilators. They have

744
00:46:06,080 --> 00:46:10,399
Speaker 1: reported in eight states so far, including California, and the

745
00:46:10,440 --> 00:46:12,759
Speaker 1: only thing that they can trace it back to the

746
00:46:12,800 --> 00:46:16,400
Speaker 1: only shared thing that all the people have in common

747
00:46:16,600 --> 00:46:21,080
Speaker 1: is vaping. That's bad news for Leonardo DiCaprio we discussed

748
00:46:21,280 --> 00:46:24,759
Speaker 1: last week um with his horrifying cloud. He blows out,

749
00:46:25,040 --> 00:46:27,960
Speaker 1: I don't believe it because vaping sick babing is tight

750
00:46:28,000 --> 00:46:32,719
Speaker 1: as fuck, right, So I don't know. That's how many

751
00:46:32,719 --> 00:46:34,440
Speaker 1: cases are we talking, dude? You know, why aren't you

752
00:46:34,520 --> 00:46:39,359
Speaker 1: reading your comment from the dock the st How many

753
00:46:39,360 --> 00:46:41,399
Speaker 1: cases are we? Do you think they are? It's only

754
00:46:41,440 --> 00:46:45,160
Speaker 1: a handful, but it's still And also like how many

755
00:46:45,160 --> 00:46:49,040
Speaker 1: of them had sick gascars? That's true, and like AirPods too,

756
00:46:49,160 --> 00:46:52,839
Speaker 1: probably had like girlfriends because they looked so cool doing it.

757
00:46:53,080 --> 00:46:56,640
Speaker 1: Yeah yeah, those yeah, you know they had sleeve tattoos.

758
00:46:56,680 --> 00:46:59,959
Speaker 1: To know if you have a sleeve tattoo that actually

759
00:47:00,160 --> 00:47:03,279
Speaker 1: chexts you from a lot of lunging issues. See, you

760
00:47:03,320 --> 00:47:07,880
Speaker 1: want to get Danny Masterson is being sued speaking of vaping,

761
00:47:08,080 --> 00:47:13,000
Speaker 1: Danny Masterson, I just have to assume, Uh, the dude

762
00:47:13,160 --> 00:47:16,520
Speaker 1: from that seventies show Hide was his name. I think

763
00:47:16,960 --> 00:47:20,799
Speaker 1: the guy with the sunglass curly. Yeah, and he's being

764
00:47:20,800 --> 00:47:24,560
Speaker 1: sued by four women he allegedly sexually assaulted. Uh, this

765
00:47:24,640 --> 00:47:31,239
Speaker 1: case is brought because the defendant, Masterson, was trying to

766
00:47:31,280 --> 00:47:34,839
Speaker 1: cover up, you know, these sexual assaults and basically intimidated

767
00:47:34,880 --> 00:47:39,400
Speaker 1: these four women. Isn't isn't scientology? And scientology is also implicated.

768
00:47:39,400 --> 00:47:43,120
Speaker 1: They went after these people's families when they accused him

769
00:47:43,160 --> 00:47:48,400
Speaker 1: of sexual assault. So you know, scientology may not be

770
00:47:48,480 --> 00:47:51,080
Speaker 1: as cool as we all thought it was. Yeah. I

771
00:47:51,120 --> 00:47:55,759
Speaker 1: thought Danny Masterson was just like like facing justice, But

772
00:47:55,800 --> 00:47:57,400
Speaker 1: I guess the only thing that happened was like he

773
00:47:57,440 --> 00:48:00,520
Speaker 1: was kicked off the ranch on Netflix, right or what

774
00:48:00,560 --> 00:48:03,239
Speaker 1: we call it justice in this country, and he wasn't

775
00:48:03,280 --> 00:48:08,879
Speaker 1: getting his DJ gigs right. Yeah, that really fucked with

776
00:48:09,320 --> 00:48:14,040
Speaker 1: that bar mitzvah that I was planning Dje DJ Danny

777
00:48:14,040 --> 00:48:16,879
Speaker 1: mess hashtag me too. I don't know if I even

778
00:48:16,920 --> 00:48:19,080
Speaker 1: want to do this next story. It really fucked me up.

779
00:48:20,440 --> 00:48:23,000
Speaker 1: But guys were apparently not allowed to put Q tips

780
00:48:23,000 --> 00:48:25,920
Speaker 1: in our ears anymore. We've known that forever, I know.

781
00:48:26,040 --> 00:48:29,440
Speaker 1: So I've been hearing that, like it's been a small

782
00:48:29,560 --> 00:48:33,000
Speaker 1: background like chatter because you can't hear it due to

783
00:48:33,040 --> 00:48:36,879
Speaker 1: all the wax as you impacted more. That's the thing.

784
00:48:36,920 --> 00:48:38,680
Speaker 1: It's like, that's like the thing that came out that

785
00:48:38,719 --> 00:48:43,680
Speaker 1: we were like, no, yeah, it's the thing. We're like, okay, doctor, right.

786
00:48:44,040 --> 00:48:46,319
Speaker 1: I remember. It wasn't flossing the other one where it's

787
00:48:46,360 --> 00:48:49,120
Speaker 1: like you know, it's fine and people like, well we're

788
00:48:49,120 --> 00:48:51,919
Speaker 1: still doing it. Wait. Really yeah, there was a whole

789
00:48:51,960 --> 00:48:57,000
Speaker 1: thing about flossing, like like wasn't you know app I

790
00:48:57,040 --> 00:48:59,080
Speaker 1: mean it was beneficial, but not in the way that

791
00:48:59,160 --> 00:49:03,400
Speaker 1: like the dental industry was telling us. So this is

792
00:49:03,520 --> 00:49:06,200
Speaker 1: there's a Gizmoo article called is cleaning your ears with

793
00:49:06,239 --> 00:49:10,040
Speaker 1: cotton swabs really that dangerous? I'm gonna be honest with you.

794
00:49:10,120 --> 00:49:13,160
Speaker 1: I fully clicked on that because I expected the answer

795
00:49:13,200 --> 00:49:16,040
Speaker 1: to be like, Nah, the way the headline is written,

796
00:49:16,560 --> 00:49:19,160
Speaker 1: you're expecting it to be like, no, it's actually fine,

797
00:49:19,200 --> 00:49:24,239
Speaker 1: it's not as bad. Uh. And there's a real life

798
00:49:24,239 --> 00:49:27,080
Speaker 1: horror tail that they start things kick things off with

799
00:49:27,120 --> 00:49:33,319
Speaker 1: because a woman her skull got infected from basically using

800
00:49:33,680 --> 00:49:36,440
Speaker 1: a Q tip improperly. You're just they're just like, you

801
00:49:36,480 --> 00:49:40,359
Speaker 1: should never ever stick anything into your head. Yeah, your

802
00:49:40,400 --> 00:49:47,120
Speaker 1: ears are incredibly delicate, like compared to your other bodily orifices,

803
00:49:47,160 --> 00:49:49,280
Speaker 1: and you just like aren't supposed to be putting anything

804
00:49:49,320 --> 00:49:54,680
Speaker 1: in there. Also, don't funk with ear candling. Apparently that's

805
00:49:55,120 --> 00:49:59,680
Speaker 1: not good. But why is it not good? I think

806
00:49:59,760 --> 00:50:02,480
Speaker 1: just generally it's like it can puncture your ear drum

807
00:50:02,960 --> 00:50:06,160
Speaker 1: just putting stuff into It's like you put a candle

808
00:50:07,040 --> 00:50:11,520
Speaker 1: in your ear and the like lit and basically like

809
00:50:11,680 --> 00:50:14,720
Speaker 1: pulls like creates like a suction. I think it draws

810
00:50:14,840 --> 00:50:17,040
Speaker 1: ear wax out of the ear wax out you see it.

811
00:50:17,080 --> 00:50:18,880
Speaker 1: I saw it the first time, like in like India

812
00:50:19,000 --> 00:50:21,560
Speaker 1: or something. That's crazy. I've never even I don't even

813
00:50:21,560 --> 00:50:24,680
Speaker 1: know anything about that. I one time had I thought

814
00:50:24,680 --> 00:50:27,120
Speaker 1: I was going deaf in college, but it was just

815
00:50:27,160 --> 00:50:29,560
Speaker 1: a wax build up in one of my ears. Had

816
00:50:29,640 --> 00:50:35,040
Speaker 1: you been, I mean probably I'm a normal person. I'm

817
00:50:35,040 --> 00:50:37,560
Speaker 1: a human being. You don't use pens, so would have

818
00:50:37,560 --> 00:50:40,160
Speaker 1: been impacted in there. I don't know, but it was

819
00:50:40,200 --> 00:50:42,320
Speaker 1: really weird. And they had to use one of those

820
00:50:42,360 --> 00:50:45,120
Speaker 1: like like those water guns in my ear right right

821
00:50:45,719 --> 00:50:48,319
Speaker 1: first they had me put or something you know, like

822
00:50:48,360 --> 00:50:52,000
Speaker 1: the vitamin is vitamin eat the fish oil. I don't

823
00:50:52,000 --> 00:50:54,319
Speaker 1: know those like fish oil tablets they prescribed as to me.

824
00:50:54,320 --> 00:50:56,360
Speaker 1: They're like pop them open and then pour those in

825
00:50:56,440 --> 00:51:00,640
Speaker 1: your ear, and then it created up. It turned into

826
00:51:00,800 --> 00:51:04,040
Speaker 1: my like the wax into a giant wax ball. And

827
00:51:04,080 --> 00:51:06,759
Speaker 1: then they came back a week later and they like

828
00:51:07,480 --> 00:51:10,880
Speaker 1: power shot my ear with like a water gun pressure washer.

829
00:51:11,080 --> 00:51:12,960
Speaker 1: So that's something you can do at home, guys, just

830
00:51:13,200 --> 00:51:17,920
Speaker 1: fire pressure washer. It was pretty intense. If it came

831
00:51:17,960 --> 00:51:21,600
Speaker 1: out and the wax ball was so big, it was

832
00:51:22,040 --> 00:51:27,280
Speaker 1: just well, okay, it's in a glass case for history,

833
00:51:27,440 --> 00:51:29,520
Speaker 1: but it was it was insane. I was like, how

834
00:51:29,600 --> 00:51:31,680
Speaker 1: is that in my ear? And my doctor was like next,

835
00:51:31,760 --> 00:51:34,600
Speaker 1: So I didn't really get an answer. So as I

836
00:51:34,640 --> 00:51:36,320
Speaker 1: was reading it, I was like, damn, is this true?

837
00:51:36,360 --> 00:51:38,360
Speaker 1: And then a lot of people are like, yeah, like

838
00:51:38,440 --> 00:51:41,240
Speaker 1: if you if some people like they say, just simply

839
00:51:41,320 --> 00:51:43,960
Speaker 1: the water rushing from a shower will be able to

840
00:51:44,040 --> 00:51:46,640
Speaker 1: take it out. And also the way that your skin

841
00:51:46,719 --> 00:51:50,799
Speaker 1: grows in your ear can like actually just bring the

842
00:51:50,800 --> 00:51:53,640
Speaker 1: wax out naturally. Yeah. They saw the movement of your

843
00:51:53,719 --> 00:51:57,440
Speaker 1: jaw from like talking and chewing like like gently like

844
00:51:57,520 --> 00:52:00,040
Speaker 1: kind of works the wax out of your ear in

845
00:52:00,080 --> 00:52:02,120
Speaker 1: your teeth while you sleep. Does that help? I don't know.

846
00:52:02,160 --> 00:52:04,359
Speaker 1: I you know, I've actually still use Q tips and

847
00:52:04,560 --> 00:52:08,160
Speaker 1: um no I do too. I don't. Yeah, I don't

848
00:52:08,160 --> 00:52:11,959
Speaker 1: think I'm going to stop. But even despite this dude

849
00:52:12,000 --> 00:52:16,520
Speaker 1: jacks skull infection, Yeah, I don't know. Man, it's it's

850
00:52:16,560 --> 00:52:22,239
Speaker 1: one skull infection. Uh and hours of pleasure. So is

851
00:52:22,280 --> 00:52:24,799
Speaker 1: it pleasurable for you to Yeah, it's really pleasurable. Mind

852
00:52:24,840 --> 00:52:30,960
Speaker 1: strictly business. No pleasure. You sucking, no music on, no

853
00:52:31,160 --> 00:52:33,319
Speaker 1: nothing you're doing in the dark. You're like, no, I'm

854
00:52:33,360 --> 00:52:36,319
Speaker 1: in I'm sucking out. Well, yeah I was. That was

855
00:52:36,440 --> 00:52:38,919
Speaker 1: It was weird to like read from numerous like health

856
00:52:38,920 --> 00:52:41,879
Speaker 1: things where it's like, yeah, I mean you could, but

857
00:52:42,040 --> 00:52:44,520
Speaker 1: if you really if they're saying, if your wax build

858
00:52:44,560 --> 00:52:46,920
Speaker 1: up is like pretty significant, then yeah, going to a

859
00:52:46,960 --> 00:52:50,080
Speaker 1: doctor is probably the best option to protect protect yourself.

860
00:52:50,120 --> 00:52:52,680
Speaker 1: But yeah, it's just like I don't go to the

861
00:52:52,760 --> 00:52:56,000
Speaker 1: doctor for a lot of stuff. Yeah, you know, that

862
00:52:56,040 --> 00:53:01,839
Speaker 1: just seems like number one. Um if you guys can

863
00:53:01,880 --> 00:53:08,520
Speaker 1: see in Japan though, like the arm is really getting

864
00:53:08,520 --> 00:53:12,040
Speaker 1: pretty cheesy, dude, the like in Japan, he's like a

865
00:53:12,120 --> 00:53:15,799
Speaker 1: bamboo pick, like yeah, yeah, like where it looks like

866
00:53:15,840 --> 00:53:20,280
Speaker 1: a fucking like cokespoon basically, and like that's how you

867
00:53:20,560 --> 00:53:23,839
Speaker 1: take your your ear wax. That's safer than a that's

868
00:53:23,880 --> 00:53:28,879
Speaker 1: like like like I don't anything like fully funck your ear.

869
00:53:28,920 --> 00:53:31,000
Speaker 1: And I remember my mom when I was a kid,

870
00:53:31,320 --> 00:53:33,120
Speaker 1: whenever she try and clean my ear with that, I

871
00:53:33,120 --> 00:53:35,360
Speaker 1: was like, like I didn't read because it was I

872
00:53:35,400 --> 00:53:37,959
Speaker 1: could hear it, just like fucking scraping in my ear.

873
00:53:38,320 --> 00:53:40,600
Speaker 1: And then she's like American people have different ear wax

874
00:53:40,640 --> 00:53:43,120
Speaker 1: than Asian people. She's like, you have your dad's your wax.

875
00:53:43,160 --> 00:53:45,439
Speaker 1: I'm like, what the fun Well, there are different types

876
00:53:45,480 --> 00:53:48,480
Speaker 1: of but I don't think it's racial. The look, you know,

877
00:53:48,480 --> 00:53:52,440
Speaker 1: it's all timey racism. Do a segment called mom myths, Yeah, right,

878
00:53:52,600 --> 00:53:58,359
Speaker 1: like things your mom and dads too, like weird stuff. Yeah,

879
00:53:58,440 --> 00:54:01,880
Speaker 1: wet first drive ear wax doesn't matter you're not supposed

880
00:54:01,880 --> 00:54:04,040
Speaker 1: to clean it out, and I will continue to do

881
00:54:04,120 --> 00:54:08,279
Speaker 1: so and probably go deaf. Okay, and finally we we

882
00:54:08,360 --> 00:54:14,040
Speaker 1: gotta talk about pumpkin spice spam. It's a thing, God

883
00:54:14,120 --> 00:54:18,840
Speaker 1: help us all. Wait, what spam spam? That's fucking pumpkin

884
00:54:18,920 --> 00:54:24,560
Speaker 1: spice flavored y spam the company that makes artificial ham

885
00:54:24,680 --> 00:54:32,040
Speaker 1: wet ham. I think that's the tagline spam, which got

886
00:54:32,040 --> 00:54:35,359
Speaker 1: our part. We lost all our listeners in Hawaiian. Oh,

887
00:54:35,440 --> 00:54:38,200
Speaker 1: I love spam. That's why I'm upset, actually, because fucking

888
00:54:38,320 --> 00:54:43,080
Speaker 1: I love fried spam. But pump how does it? How

889
00:54:43,080 --> 00:54:47,840
Speaker 1: do you even square that? Apparently it's a mixture. It

890
00:54:48,040 --> 00:54:54,360
Speaker 1: tastes a little like breakfast sausage, like that salty sweet um.

891
00:54:54,440 --> 00:54:57,560
Speaker 1: But yeah, it's you know, some people are looking at

892
00:54:57,600 --> 00:55:02,040
Speaker 1: this as proof that we have a problem, uh with

893
00:55:02,040 --> 00:55:05,640
Speaker 1: with pumpkins, but like we have a pumpkin spice problems

894
00:55:05,719 --> 00:55:08,640
Speaker 1: fucking weird. Yeah, I mean it's not. I think it's

895
00:55:08,640 --> 00:55:10,799
Speaker 1: just maybe a fad. But I don't know if it's

896
00:55:10,800 --> 00:55:13,719
Speaker 1: going to go away. It's been it's been here for

897
00:55:13,760 --> 00:55:16,759
Speaker 1: a while. Yeah, but it's but I feel like it's crescendoing.

898
00:55:16,800 --> 00:55:19,040
Speaker 1: But will it peak and then taper off or we

899
00:55:19,160 --> 00:55:21,160
Speaker 1: just gonna is it gonna hockey stick at some point

900
00:55:21,200 --> 00:55:24,360
Speaker 1: and we're gonna be in spice World. Pumpkin Spice World.

901
00:55:24,719 --> 00:55:26,759
Speaker 1: Spice World one of my favorite movies. I love it,

902
00:55:26,840 --> 00:55:32,200
Speaker 1: especially when the aliens come down, um spoiler. There's even

903
00:55:32,239 --> 00:55:36,480
Speaker 1: a study that says that pumpkin spice, like the pumpkin

904
00:55:36,560 --> 00:55:40,120
Speaker 1: spice smell, is actually arousing two men. They did like

905
00:55:40,200 --> 00:55:44,799
Speaker 1: a sensory test DJ Daniel and found that I think

906
00:55:44,880 --> 00:55:49,640
Speaker 1: pizza made people hard, Like this is literally how it's described.

907
00:55:52,239 --> 00:55:54,920
Speaker 1: I think that's actually how our writer described it. But

908
00:55:56,239 --> 00:55:59,320
Speaker 1: made people are five percent of the time. Pumpkin spice

909
00:55:59,760 --> 00:56:03,360
Speaker 1: was like the other scent. I think bacon ten percent

910
00:56:03,560 --> 00:56:05,840
Speaker 1: of pumpkin spice of the time. Wait, what do you

911
00:56:05,840 --> 00:56:07,840
Speaker 1: mean hard? Like they're like you sit there with a

912
00:56:07,880 --> 00:56:10,400
Speaker 1: flashed dick and they hold a fucking lache under your

913
00:56:10,400 --> 00:56:14,680
Speaker 1: nose and you're like, what about this pizza? That is

914
00:56:14,760 --> 00:56:18,640
Speaker 1: the sound? Uh so Yeah. In the late nineties, Dr

915
00:56:18,719 --> 00:56:22,120
Speaker 1: Hirst set out to investigate the impact of ambient olfactories

916
00:56:22,120 --> 00:56:25,920
Speaker 1: stimuli upon sexual response in the human male, measuring penole

917
00:56:25,960 --> 00:56:29,040
Speaker 1: blood flow on smelling different fragrances. It turns out that

918
00:56:29,120 --> 00:56:33,720
Speaker 1: men were aroused by every cent, not shocking, though not equally.

919
00:56:34,160 --> 00:56:37,319
Speaker 1: Only five percent of men got hard from this. So

920
00:56:37,400 --> 00:56:41,279
Speaker 1: this is the actual description in BTR today got hard

921
00:56:41,320 --> 00:56:44,600
Speaker 1: from the scent of cheese pizza. Six percent pitched a

922
00:56:44,680 --> 00:56:49,720
Speaker 1: tent for peppermint, while forty percent saluted all American pumpkin pie,

923
00:56:50,080 --> 00:56:54,479
Speaker 1: particularly in combination with lavender and doughnuts. So this makes

924
00:56:54,520 --> 00:56:57,840
Speaker 1: sense to me, which is a weird thing to say,

925
00:56:57,880 --> 00:57:02,279
Speaker 1: but I am incredibly aroused by pumpkin. No, it makes

926
00:57:02,320 --> 00:57:06,279
Speaker 1: sense to me because so there's this uh study where

927
00:57:06,320 --> 00:57:10,560
Speaker 1: they looked at the like the highest preponderance of birthdays

928
00:57:10,600 --> 00:57:16,880
Speaker 1: and it's nine months after Christmas, and like that. The

929
00:57:16,880 --> 00:57:20,960
Speaker 1: theory that I have formulated is that Christmas is basically,

930
00:57:21,600 --> 00:57:25,600
Speaker 1: you know, naturally a holiday, like even without all the

931
00:57:25,680 --> 00:57:29,160
Speaker 1: religious connotations, because it's the human mating season. It's the

932
00:57:29,200 --> 00:57:33,280
Speaker 1: time that like we're driven indoors by the weather and

933
00:57:33,320 --> 00:57:37,320
Speaker 1: it being like the middle of the winter, and so

934
00:57:37,520 --> 00:57:40,280
Speaker 1: it kind of makes sense that a scent that we

935
00:57:40,480 --> 00:57:45,720
Speaker 1: culturally have like sort of grafted onto our mating period

936
00:57:45,840 --> 00:57:50,000
Speaker 1: would be like tapping into like this cultural part of

937
00:57:50,000 --> 00:57:53,320
Speaker 1: our brain that like we can't deny and people are

938
00:57:53,400 --> 00:57:57,640
Speaker 1: there's like black market trade of pumpkin spice. Now. People

939
00:57:57,680 --> 00:58:02,920
Speaker 1: are like because because they're trading like big jugs of

940
00:58:02,960 --> 00:58:09,320
Speaker 1: the like syrup, the syrup. Yeah, a black market for

941
00:58:09,360 --> 00:58:12,400
Speaker 1: a pumpkin spice syrup has formed on eBay, where devotees

942
00:58:12,440 --> 00:58:15,400
Speaker 1: sell jugs of the viscous flavoring for as much as

943
00:58:15,440 --> 00:58:18,480
Speaker 1: a hundred dollars. So I mean it's not a black market,

944
00:58:18,640 --> 00:58:22,200
Speaker 1: like just like for people who are trading. Yeah, it's

945
00:58:22,280 --> 00:58:24,560
Speaker 1: like yeah bitcoin, it's like we're gonna use like bitcoin

946
00:58:24,600 --> 00:58:27,280
Speaker 1: to buy this ship on Silk Road. I just like

947
00:58:27,400 --> 00:58:30,680
Speaker 1: the idea that like all all sense aroused the men.

948
00:58:31,400 --> 00:58:35,760
Speaker 1: It's like, yeah, an old tire, your mother's grave, and

949
00:58:35,800 --> 00:58:37,760
Speaker 1: it's like yeah, I don't know. Well, I'm sure they

950
00:58:37,760 --> 00:58:42,640
Speaker 1: were like showing them something worn with it, yeah, porn

951
00:58:42,720 --> 00:58:45,360
Speaker 1: with it, and then it was like this this made

952
00:58:45,400 --> 00:58:49,120
Speaker 1: them like more aroused or something like the combination. I'm

953
00:58:49,120 --> 00:58:51,640
Speaker 1: assuming because it can't just be that they like put

954
00:58:51,680 --> 00:58:55,680
Speaker 1: peppermint under people's nose and they were like, but I

955
00:58:55,760 --> 00:58:58,640
Speaker 1: just do Like, to me, that's the funniest image. Just

956
00:58:59,240 --> 00:59:02,000
Speaker 1: people in lab coats and just dudes and like smocks,

957
00:59:02,040 --> 00:59:08,520
Speaker 1: like sitting down and they're like all right in this also.

958
00:59:08,640 --> 00:59:10,680
Speaker 1: So then now if you if you ever see like

959
00:59:10,720 --> 00:59:13,080
Speaker 1: a dude order a public spice latte, look at him

960
00:59:13,200 --> 00:59:15,520
Speaker 1: very suspicious. Oh yeah, for sure. You like having trouble

961
00:59:15,560 --> 00:59:17,800
Speaker 1: in the bedroom. You're doing it because you're part of

962
00:59:19,000 --> 00:59:21,520
Speaker 1: or maybe you know, maybe it's not trouble, maybe it's

963
00:59:21,560 --> 00:59:26,640
Speaker 1: just added you know. He's a freak. Yeah. Uh, he's

964
00:59:26,680 --> 00:59:28,720
Speaker 1: a freak. He likes the girls with the boom. He

965
00:59:28,760 --> 00:59:34,000
Speaker 1: once got busy in a Starbucks bathroom. It's been a

966
00:59:34,040 --> 00:59:39,480
Speaker 1: pleasure of having you as always. Uh, you don't seem

967
00:59:39,520 --> 00:59:42,880
Speaker 1: like you believe me. Where where can people find you? Yes?

968
00:59:43,280 --> 00:59:46,680
Speaker 1: You are, but even more than more than ever having

969
00:59:46,720 --> 00:59:50,800
Speaker 1: you on Mike the whole time is a treat. Where

970
00:59:51,880 --> 00:59:55,200
Speaker 1: in the air, Yeah, a little little unnecessary evil. It's

971
00:59:55,240 --> 00:59:58,560
Speaker 1: a cute. You know. Where can people find you? And

972
00:59:58,720 --> 01:00:01,400
Speaker 1: is there a tweet you've been in joying? Go I

973
01:00:01,440 --> 01:00:05,720
Speaker 1: am on Twitter Anna host n N A H O

974
01:00:05,960 --> 01:00:10,240
Speaker 1: S S N I E H. Follow me for um

975
01:00:10,360 --> 01:00:15,480
Speaker 1: alive tweet of everything corny Jack just joking, I'm not

976
01:00:15,560 --> 01:00:17,800
Speaker 1: choking everything. Really you want to follow? So it's great

977
01:00:17,840 --> 01:00:21,280
Speaker 1: because you talk about me, which is fine because we

978
01:00:21,720 --> 01:00:24,400
Speaker 1: work next to each other and you're allowed to. But

979
01:00:24,480 --> 01:00:27,760
Speaker 1: then everybody, all these strangers pile on and they're like,

980
01:00:28,280 --> 01:00:33,080
Speaker 1: what's Jack saying in this picture? You don't know me,

981
01:00:33,320 --> 01:00:35,800
Speaker 1: But it's actually some good ones, people being like the

982
01:00:35,800 --> 01:00:40,960
Speaker 1: thing you say about the cool guest study when I worked. Yeah, yeah, thanks,

983
01:00:40,960 --> 01:00:45,840
Speaker 1: guys creating a bad we're creating a toxic atmosphere where

984
01:00:45,880 --> 01:00:50,760
Speaker 1: it is there a tweet you've been enjoying? Yeah, great

985
01:00:50,800 --> 01:00:54,600
Speaker 1: one that Andy Beckerman tweeted, where it's Bernie Sanders and

986
01:00:54,640 --> 01:00:58,200
Speaker 1: Cardi B And he tweeted, like me and his wonderful

987
01:00:58,200 --> 01:01:03,960
Speaker 1: fiance naomiic Paragon and two years and he's Ernie Sanders

988
01:01:04,000 --> 01:01:09,760
Speaker 1: and Naomi's Carnie And it's so spot on because you know, yeah,

989
01:01:10,400 --> 01:01:13,320
Speaker 1: they're a great, great couple who you can hear hosting

990
01:01:13,400 --> 01:01:17,080
Speaker 1: couples therapy on this very network. And I liked another

991
01:01:17,120 --> 01:01:21,200
Speaker 1: one by Nicole Buyer retweeted the NBC Washington talking about

992
01:01:21,200 --> 01:01:24,640
Speaker 1: how former Navy sealist training came like dogs basically attack

993
01:01:24,680 --> 01:01:27,440
Speaker 1: school shooters, Like they run towards the sound of gunfire

994
01:01:27,480 --> 01:01:29,400
Speaker 1: and they're not distracted by people and they can take

995
01:01:29,480 --> 01:01:32,160
Speaker 1: down the shooter. And she retweeted he wrote, l O

996
01:01:32,360 --> 01:01:39,880
Speaker 1: l how about gun control? Uh, Miles, we're can people

997
01:01:39,880 --> 01:01:41,959
Speaker 1: find you? And what's a tweet you've been enjoying? Find

998
01:01:42,000 --> 01:01:47,240
Speaker 1: me on Twitter and Instagram at Miles of Gray a

999
01:01:47,360 --> 01:01:52,120
Speaker 1: tweet I like is from Molly Lambert and it was

1000
01:01:52,360 --> 01:01:54,040
Speaker 1: she's been talking a lot about Once upon a Time

1001
01:01:54,280 --> 01:01:57,680
Speaker 1: in Hollywood on Twitter and said Tarantino fanboys Manson spleening

1002
01:01:57,680 --> 01:02:02,520
Speaker 1: in my mentions, please go away? Wow, you got to

1003
01:02:02,560 --> 01:02:06,400
Speaker 1: know about him racism? Was like, anyway you can buy me?

1004
01:02:06,480 --> 01:02:14,479
Speaker 1: On Twitter at Jack Underscore O'Brien tweet been enjoying. Uh,

1005
01:02:14,520 --> 01:02:17,240
Speaker 1: somebody said, I swear nothing in this whole entire world

1006
01:02:17,280 --> 01:02:22,400
Speaker 1: smells better than the person you love and uh. Anderson

1007
01:02:22,600 --> 01:02:26,120
Speaker 1: at x V King tweeted have you ever walked by

1008
01:02:26,160 --> 01:02:31,440
Speaker 1: a cinnabon? Uh? And then not clickbait at Craole Uh

1009
01:02:31,520 --> 01:02:35,800
Speaker 1: Wonder tweeted everyone gets one famous scientologist they're allowed to

1010
01:02:35,800 --> 01:02:38,800
Speaker 1: pretend isn't really a scientologist in order to fully impurely

1011
01:02:38,880 --> 01:02:43,640
Speaker 1: enjoy their work. And I think that is fair. Who's yours?

1012
01:02:44,160 --> 01:02:50,000
Speaker 1: Probably Elizabeth Moss m how about you back? Yeah, that's

1013
01:02:50,000 --> 01:02:53,840
Speaker 1: a good one. Yeah, and Danny Masterson is it? Tom Cruise,

1014
01:02:54,880 --> 01:02:57,880
Speaker 1: I don't care about anybody. Yeah, Tom cruise might be mine.

1015
01:02:57,960 --> 01:03:03,680
Speaker 1: Actually the fuck? Why would you steal mine? Sorry, that's

1016
01:03:03,720 --> 01:03:06,840
Speaker 1: my here's my scientologist. I give a past two. Uh.

1017
01:03:07,240 --> 01:03:10,160
Speaker 1: You can find us on Twitter at Daily Zageist. We're

1018
01:03:10,200 --> 01:03:12,800
Speaker 1: at the Daily Zageist on Instagram. We have Facebook fan

1019
01:03:12,800 --> 01:03:15,080
Speaker 1: page on a website daily si dot com. Well, we

1020
01:03:15,120 --> 01:03:18,000
Speaker 1: post our episode, then our footnotes we link off to

1021
01:03:18,040 --> 01:03:20,080
Speaker 1: the information that we talked about in today's episode, as

1022
01:03:20,120 --> 01:03:24,600
Speaker 1: well as the song we write out on miles. Yeah,

1023
01:03:24,680 --> 01:03:26,680
Speaker 1: it's Monday, you know, let's get our let's get our

1024
01:03:27,320 --> 01:03:31,080
Speaker 1: next snapping and uh make more money for the machine?

1025
01:03:31,160 --> 01:03:34,200
Speaker 1: Shall we take our brainforce pills? But this track is

1026
01:03:34,280 --> 01:03:38,200
Speaker 1: by we Evil w E v a L. We played

1027
01:03:38,200 --> 01:03:40,360
Speaker 1: a track of his I think last week. But a

1028
01:03:40,360 --> 01:03:42,080
Speaker 1: lot of these tracks are really good. And this track

1029
01:03:42,200 --> 01:03:44,160
Speaker 1: is called the Wait. I thought we were gonna let

1030
01:03:44,200 --> 01:03:47,760
Speaker 1: Annas sing a sing one of her improvised songs about

1031
01:03:47,800 --> 01:03:49,680
Speaker 1: how our family is missing. Yeah, and did you want

1032
01:03:49,720 --> 01:03:53,840
Speaker 1: to do a live improvised People don't know that we

1033
01:03:53,880 --> 01:03:56,000
Speaker 1: have a lot of office bits that we don't people

1034
01:03:56,040 --> 01:03:57,840
Speaker 1: don't know about. And it's not even a bit that

1035
01:03:58,080 --> 01:04:01,880
Speaker 1: this wasn't a bit thing Anna always does talks about

1036
01:04:01,880 --> 01:04:05,240
Speaker 1: how her face every time she sings the song. It

1037
01:04:05,320 --> 01:04:09,240
Speaker 1: ends up my trauma with song with song, and sometimes

1038
01:04:09,240 --> 01:04:11,760
Speaker 1: it comes out like details come out that you know,

1039
01:04:11,880 --> 01:04:15,200
Speaker 1: ours are singing and I can't find that my Look,

1040
01:04:15,240 --> 01:04:17,440
Speaker 1: my family has been missing for years. Yeah, that's what

1041
01:04:17,480 --> 01:04:22,160
Speaker 1: it is, and that's just kind of I deal with it. Yeah,

1042
01:04:22,360 --> 01:04:24,880
Speaker 1: that's just ambient around the office. That's what you hear.

1043
01:04:25,720 --> 01:04:28,440
Speaker 1: I do think about that. You really do well. We

1044
01:04:28,520 --> 01:04:35,920
Speaker 1: homeward them, yes, and that's funny, like you might have

1045
01:04:35,920 --> 01:04:38,680
Speaker 1: to be more specific, but it's like you're like the

1046
01:04:38,760 --> 01:04:41,720
Speaker 1: dude from Australia's got talent, but he uses dance to

1047
01:04:41,760 --> 01:04:46,320
Speaker 1: blow steam up song feather dancing. I love the idea

1048
01:04:46,400 --> 01:04:48,880
Speaker 1: that that's how you like deal with it, is just

1049
01:04:49,000 --> 01:04:54,880
Speaker 1: quietly singing a song. We're like, oh my gosh, should

1050
01:04:54,920 --> 01:04:58,560
Speaker 1: I tell the police? Yes, I actually never involved on

1051
01:04:59,280 --> 01:05:06,440
Speaker 1: you know, taken situation, the law it would be on

1052
01:05:06,480 --> 01:05:08,920
Speaker 1: my Yeah, well it's because at that one time I

1053
01:05:09,000 --> 01:05:12,040
Speaker 1: made that like proud in shirts claim. Yeah, it's alright,

1054
01:05:12,160 --> 01:05:15,080
Speaker 1: I really cannot do with claim that your family use

1055
01:05:15,160 --> 01:05:18,160
Speaker 1: that against you. They will use that against your red way,

1056
01:05:19,080 --> 01:05:21,640
Speaker 1: all right, So we're gonna ride out on the original

1057
01:05:21,720 --> 01:05:24,240
Speaker 1: song that Mins was talking about. He will be back

1058
01:05:24,240 --> 01:05:26,320
Speaker 1: tomorrow because it is a daily podcast and we'll talk

1059
01:05:26,360 --> 01:05:29,400
Speaker 1: to you then bye, like, oh no, that didn't record.

1060
01:06:00,200 --> 01:06:03,240
Speaker 1: Stener was condu