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Speaker 1: Hello the Internet, and welcome to season eighty four, Episode

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Speaker 1: two of jur Daily Night Guys production of High Heart Radio.

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

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

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Speaker 1: but Coke Industries and fuck Fox News. It's Wednesday, May twenty,

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Speaker 1: Night two nine. Team. My name is Jack O'Brien a

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Speaker 1: kit up new scene takes so hot and we just

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Speaker 1: makes me cry. Code Red is Cooren through move things

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Speaker 1: because my name is Jack o'bry agin and I'm further

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

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Speaker 1: Mr Gray Jakoby, tell each other hot takes and chat

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Speaker 1: with a funny third key. They're laughing at you, no way, man,

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Speaker 1: they're laughing at me shining in the spotlight. I think

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Speaker 1: it's the other part anyway, I don't want to be

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Speaker 1: Mine was from hass Bossman. Ah. This one was from

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Speaker 1: Peter Newman at Soap King, Soggy King seventy nine whatever.

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Speaker 1: Peter Newton will go that one and also might have

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Speaker 1: had I think you've found your style, your genre. The

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Speaker 1: country crew like I was happy. Hey, I appreciate that.

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Speaker 1: Uh well, we are thrilled to be joined in our

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Speaker 1: third seat by the very face of Mount Zeitmore herself.

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Speaker 1: She is little Zam. She is Jamie Laws. Oh, let

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Speaker 1: me see if I can go down blowing up with

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Speaker 1: my voice. Great, Jamie is a friend. Yeah, yeah, love,

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Speaker 1: this is a good friend of mine. Bully Lisa doesn't change,

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Speaker 1: then a dude, divine. Jamie's got us of a take

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Speaker 1: on the Daily Sacks a full chorus. I said, I

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Speaker 1: Jamie stakes. They said, I had Damie's stake. Where can

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Speaker 1: I find a hot take like that? Nice? Then you're

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Speaker 1: like and then and then it comes back, just started

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Speaker 1: keep going and I love that interpretation. It comes to

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Speaker 1: the stop and you just hear it starts flap favor

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Speaker 1: like awesome song every time at every concert. Half the

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Speaker 1: crowds like oh yeah, and they're like the first time

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Speaker 1: when to clap starts and then they're like, oh, it's

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Speaker 1: the wrong time. I'm a lot of people like classical music.

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Speaker 1: If you hear like any l a philth time, that's

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Speaker 1: wait for the overture when the symphony plays outside and

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Speaker 1: like free can you get a lot of wild claps

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Speaker 1: because people are drunk too, where they're like trombones, like

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Speaker 1: They're like, is that the classical music equivalent of freebird

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Speaker 1: is trombonebo trombone? Uh straight a New World symphony that

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Speaker 1: sounds like a y and peel. Rick Springfield was considered

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Speaker 1: like very super hot back in the day. Was something

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Speaker 1: that I learned about and um, when I found that out,

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Speaker 1: I was like, wow, that is one of those things

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Speaker 1: that makes clear to me how different our world is

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Speaker 1: from their world. Right, Like, he just looks he looks

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Speaker 1: like a middle aged man and like a he's from

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Speaker 1: New South Wales. Well, he's Australian American. I know. I

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Speaker 1: went high school with this sun. Yeah, and that's when

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Speaker 1: I found out their last name is not Springfield, what

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Speaker 1: is springthorpe? He? I mean, I mean he looks like

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Speaker 1: an employee anywhere, right exactly. But like, yeah, I just

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Speaker 1: feel like there are certain things like sometimes you can

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Speaker 1: look at old magazine and because I'm I noticed eyebrows

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Speaker 1: really like I can tell a magazine is out of

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Speaker 1: date because of the eyebrows, like the arching and arching,

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Speaker 1: I'm like how thin they are and stuff like that.

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Speaker 1: Oh yeah, then eyebrows are the wave. But but Rick

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Speaker 1: Springfield is the ultimate thin eyebrow. If you if you

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Speaker 1: ask me. I don't know why they call him Australian

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Speaker 1: American because he's born in Australia and then the only

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Speaker 1: thing American about him that he moved to the US,

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Speaker 1: So I don't know. Look, I'm sure as he's at

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Speaker 1: gang let me know whatw do y'all do? Y'all claim

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Speaker 1: Rick Springfield? I hope so yeah, I'm sure they do.

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Speaker 1: Anybody who can get famous with the name Rick is

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Speaker 1: a winner. Rick Yardstick, Well, I just love that. Being

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Speaker 1: that was Liz Lemon's boyfriend said they were going to

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Speaker 1: have kids and their names were gonna be Shannon and Rick.

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Speaker 1: And I've always thought that was funny because my sister's

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Speaker 1: name is Shannon, uh and I named my son Rick.

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Speaker 1: All right, Jamie, we're gonna get to know you a

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Speaker 1: little bit better in a moment. First, we are going

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Speaker 1: to talk about a couple of the things. We're going

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Speaker 1: to talk about well well done, Jack's show called I

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Speaker 1: Like It. We're gonna talk about female voice assistants, furthering

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Speaker 1: gender stereotypes, crushing it when it comes to furthering gender stereotypes.

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Speaker 1: We're gonna talk about the New York Times basically admitting

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Speaker 1: aliens exist or Russia has really crazy millennia in the

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Speaker 1: future technology. We're gonna talk about that report. We're gonna

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Speaker 1: talk about Harriet Tubman on the twenty uh and how

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Speaker 1: that isn't happening soon enough. Uh. Fox Science Forever is

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Speaker 1: the name of a story that Myles wrote about about

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Speaker 1: a guy who, Yeah, he has an interesting background. He's

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Speaker 1: he's the scientific man when it comes to Trump's when

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Speaker 1: you when you realize why there's no science policy, and

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Speaker 1: then you hear some of the sound bites from this version,

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Speaker 1: go all right, right, Fox Science Forever. Right, We're going

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Speaker 1: to talk about the hotel bed jumping conspiracy. Get the

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Speaker 1: music ready? Yeah, I mean it's not a theory. I'm

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Speaker 1: just reading. I'm just reading other people's theories. It sounds

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Speaker 1: like something a conspiracy theories, just saying I would like

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Speaker 1: a request whenever I have a conspiracy theory, I want

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Speaker 1: the first notes of the X Files theme song where

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Speaker 1: its goes do Do Do? That's not now, but you

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Speaker 1: know what I mean, we have to see that. Wow,

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Speaker 1: if he gets that for his conspiracy theories and I

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Speaker 1: have to do that, want that, then that's like you

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Speaker 1: got trombone got curber enthusiasm. It is designed to undermine

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Speaker 1: what I'm but you know what, I guess we're moving forward.

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Speaker 1: If we both sunk with it, then we have to

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Speaker 1: use X files, right, Okay, don't see us twenty century

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Speaker 1: Fox or Disney or whoever it is now. But first

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Speaker 1: we like to ask our guests, Jamie, what is something

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Speaker 1: from your search history that's revealing about He's gesturing I'm

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Speaker 1: thinking about throwing my hat in the ring. Yeah, you

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Speaker 1: got the gesticulations of yeah, get down off the table,

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Speaker 1: Get down off there, Please get off your skateboard. Jack.

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Speaker 1: We're trying to uh. Something from my search history was

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Speaker 1: I was really tired last night and I was trying

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Speaker 1: to remember a phrase and I had to google. Uh,

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Speaker 1: I had to google libertarian snake. Phrase I was looking for.

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Speaker 1: I was looking for don't tread on me, don't try

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Speaker 1: to I know, but that wasn't even the one I

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Speaker 1: was looking for. I was. I was looking for me

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Speaker 1: liberty or give me death because I was trying. It

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Speaker 1: wasn't someone's like give me give me death. Yeah. I

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Speaker 1: started to think of the state motto of New Hampshire

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Speaker 1: and state motto New Hampshire has Lived free or die.

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Speaker 1: Oh no, not that I know that. Give me the

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Speaker 1: liberty or give me death is I feel like that's

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Speaker 1: like one of the Founding Fathers, those one of those

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Speaker 1: Founding father adjacent guys. I just wanted to write on

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Speaker 1: my dog's Instagram, give me liberty or stuck me off?

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Speaker 1: And I couldn't. I couldn't remember how the phrase went.

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Speaker 1: And I was just like, oh, I think that's on

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Speaker 1: the snake flag. And that wasn't even right, Patrick Henry,

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Speaker 1: damn it, old pat Henry, Patty Henry. And I like

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Speaker 1: that better than the snake flag. I like snake flag.

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Speaker 1: You just it would be cool for Sunday to wear

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Speaker 1: a shirt that just says snake flag. It's not even

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Speaker 1: the Gaston flag or image like new snake flag. You

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Speaker 1: know what you know about snake flag? You know what

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Speaker 1: it is. I used to be like the way like

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Speaker 1: when the Tea party, how people were like, that's like

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Speaker 1: the man in the original magaad was the snake flag? Yeah, yeah,

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Speaker 1: it was, Yeah, the snake flag. I mean, I feel

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Speaker 1: like the snake flag as someone has a snake flag

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Speaker 1: in their house. I could mean a lot of things.

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Speaker 1: It's hard to know exactly where people fall flag well,

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Speaker 1: snake flag culture is. I mean, look, if it's just

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Speaker 1: a straight up like a flag with a bowl constructor

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Speaker 1: on it, I think we just need an alternative snake

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Speaker 1: flag because some people just want to flag with a

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Speaker 1: snake in their house and they don't really know what

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Speaker 1: it means. So I'll work on that. Yeah, you're a

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Speaker 1: gifted illustrator. Yeah, give the people the new snake flag. Yeah,

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Speaker 1: you guys want a new snake flag, I'll make you

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Speaker 1: a new snake flight. I think you should actually snake flag.

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Speaker 1: It'll just have something that says like neutral snake flag. Yeah,

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Speaker 1: I just want a snake flag in my house. It's

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Speaker 1: a snake and it's like fairness, like sugging. Whatever that

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Speaker 1: means to you, is what the snake flag means. It's

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Speaker 1: only fair, is Patrick? And I'm really the one who

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Speaker 1: changed his wife up through in the basement. Oh wow,

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Speaker 1: that doesn't his wife change in it? That doesn't That

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Speaker 1: wouldn't surprise me about any person in history. Yeah, one

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Speaker 1: of the founding fathers I think kept his wife in

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Speaker 1: chance in the basement. So oh yes, it does seem

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Speaker 1: like oh yes, um oh no, any woman with mental

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Speaker 1: illness because she was because she was suffering from depression

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Speaker 1: and violent outpert. Wow, and so you know what, you're

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Speaker 1: sad and your husband throws you in a fucking basement.

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Speaker 1: That helps. It's like I see the dial, they're not

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Speaker 1: just felt my web gen please, But he said that

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Speaker 1: give me liberty or give me death things so pretty cool.

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Speaker 1: So snake maybe she I bet she actually said it,

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Speaker 1: and then he bet she was like Patrick, God, damn it,

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Speaker 1: give me liberty or give me I want to get

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Speaker 1: out of basement. Yeah, and he's like, oh, that was good.

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Speaker 1: Snake diary shout out to Sarah Shelton Henry like patching.

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Speaker 1: What is something you think is overrated? Overrated? Group on

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Speaker 1: for medical procedures. Ok, you guys saw me last week,

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Speaker 1: the day of and the day after my group on

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Speaker 1: dental surgery. That was not good. I came up with

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Speaker 1: my mouth all came in looking very strokey. I looked, yeah,

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Speaker 1: I looked. I got a deep cleaning. I didn't think.

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Speaker 1: I didn't know I was going to need this. I

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Speaker 1: just knew I needed to see a dentist. And I

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Speaker 1: first I was like, my mouth can't stop bleeding. So

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Speaker 1: I went to a dentist with a group on because

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Speaker 1: I have health insurance, right, and so I went and

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Speaker 1: then she she like she numbed up my whole mouth

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Speaker 1: to do this deep cleaning, and I was like great,

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Speaker 1: she agreed to do it for like a very low rate,

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Speaker 1: and she basically just like, yeah, like if I just

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Speaker 1: had to do it a little bit faster because it

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Speaker 1: doesn't sound good. But I was like, okay, you know whatever,

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Speaker 1: here and she put on these orange goggles. Um, which

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Speaker 1: has that ever happened to you? She just put them

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Speaker 1: on herself, like her own face. Okay, you're here, now

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Speaker 1: I'm gonna put I've got pictures of it. Yeah. No,

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Speaker 1: I was just wearing orange like like Tanning booth excelling fighter,

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Speaker 1: you know, like about to hit the front on torpedoes.

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Speaker 1: I've never been like there's gonna be a lot of

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Speaker 1: ship flying all over the Yeah. No. It was like

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Speaker 1: it was like a blood spit goggle deal, which I've

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Speaker 1: never seen, but I haven't been to it. Like she

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Speaker 1: also had Netflix, so I'm like, maybe I just don't know.

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Speaker 1: These were the glasses. Oh well, I mean those are

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Speaker 1: kind of fashion you work around lasers, you would wear

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Speaker 1: they look like laser slash yard work goggles, so she

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Speaker 1: hadn't wearing those. She's talking throughout the procedure to I thought.

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Speaker 1: I was like, Oh, she's trying to keep me calm.

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Speaker 1: She telling me about she thought about the Game of Thrones.

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Speaker 1: She had what I thought were some pretty bad takes

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Speaker 1: my you know, I couldn't talk right, Like, you agree, right,

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Speaker 1: She's like, you know, I think that everyone thinks that

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Speaker 1: you know, brand should have It makes sense, he had

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Speaker 1: the best story. People say they're like slaves, but I

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Speaker 1: think like they wanted to do like what they were

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Speaker 1: doing before Colicy, Like I think their life is bad,

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Speaker 1: so like in a way really yeah. But she at

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Speaker 1: one point um sneeze and on too, and I saw

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Speaker 1: it fall on the goggles and I was like, but

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Speaker 1: I couldn't feel my mouth, so I didn't. I just

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Speaker 1: didn't connect mentally that it was clearly it also gone

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Speaker 1: in my mouth, but my mouth was numb. And then

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Speaker 1: it wasn't until I woke up the next day. I

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Speaker 1: had a really bad cold that I still kind of have.

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Speaker 1: It is like, yeah, she sneezed in my mouth and

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Speaker 1: I got pretty sick and um, But the procedure went

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Speaker 1: well and I you know, she she said she would

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Speaker 1: do my cavity is really cheap, so I'm gonna go back,

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Speaker 1: but over it. Don't get your surgeries done on group On.

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Speaker 1: There she like justided from dental school. I wouldn't call

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Speaker 1: it a surgery though, but no, it was. It was

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Speaker 1: more than me. It was like, yeah, it was a

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Speaker 1: full novocain procedure. Now did she try to once she

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Speaker 1: got you in their ups, because that's always my issue

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Speaker 1: with group On. They will give you a crazy good deal,

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Speaker 1: but then they'll be like, and you can come back

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Speaker 1: for the deluxe package. She yeah, she did, but then

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Speaker 1: she also did that thing that like it sounded sincere

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Speaker 1: enough and I'm like, no, I'll stay. She was just like, listen,

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Speaker 1: I think you should get a nightguard. Your mouths full

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Speaker 1: of cavities. Everything is a disaster. Like, however, I cannot

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Speaker 1: let you leave today without getting this procedure done. And

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Speaker 1: then she was she like I negotiated with her, which

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Speaker 1: I never do, but I was just like, I don't know,

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Speaker 1: I think I might leave, and then she was just

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Speaker 1: like I'll bring it, like she just I think that

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Speaker 1: it was like my gums were just in a sad condition,

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Speaker 1: and she was like, I'll do what it takes. Head

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Speaker 1: sneeze still just really bothers me because and I knew

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Speaker 1: it bothered you because it dominated your social media. For days,

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Speaker 1: I couldn't stop thinking, Like every once in a while

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Speaker 1: I would sniff and be like, that is so crazy

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Speaker 1: that she sneezed in my mouth like that on your head,

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Speaker 1: right and on I mean on my whole head. She

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Speaker 1: was behind crowd of your head. Yeah, she was hovering

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Speaker 1: above me, and so she sneeds like in an arc.

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Speaker 1: So I was like a bizarro Spider Man kissing upside

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Speaker 1: down kiss, but we basically kissed. Yeah, you did the

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Speaker 1: Spider Man. She's nothing more intimate than someone sneezing into

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Speaker 1: your mouth, into my mouth. And then she kept talking

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Speaker 1: to as I was like I went back to I

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Speaker 1: was like yeah, I was like no, I was just

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Speaker 1: I was just scared. He's like, my allergies are acting

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Speaker 1: about about you. Yeah, I don't know, I mean, but

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Speaker 1: I'm going back, but I just you know, the American

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Speaker 1: health care system is broken. We got dentist sneezing in

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Speaker 1: our mouths over here, and that's the option that I

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Speaker 1: was kind of I was kind of standing on the

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Speaker 1: sidelines until I saw that Instagram story and now I'm

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Speaker 1: all in on this fight stars only sneezed in my mouth.

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Speaker 1: I gave her five stars because I need those cavities filled.

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Speaker 1: So with the cycle of abuse until she left the

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Speaker 1: sneeze commented, No, I didn't, no, no, no, I was like,

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Speaker 1: I need to get the cavity five stars. With a

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Speaker 1: Yelp review, you get like a better deal. Is that

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Speaker 1: how it works? She well, no, they just give you

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Speaker 1: push notifications until you do it, like group on is

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Speaker 1: just like, please make it worth it because that's the

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Speaker 1: only way. Yeah, that that helps the business, and then

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Speaker 1: the group on cycle because it left her a nice

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Speaker 1: comment because I really want to get my cavities field

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Speaker 1: pret cheap? Is it? Is? It pretty much widely agreed

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Speaker 1: on that Yelp doesn't really work because people like businesses

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Speaker 1: pay people all the time, and I do. I mean,

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Speaker 1: when I'm out of town, if I need a quick

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Speaker 1: snapshot of like what like restaurants are worthwhile, I typically

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Speaker 1: will do that. But even then it's it's I mean,

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Speaker 1: I don't know, I'm very good at knowing when a

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Speaker 1: Yelp review is just written by somebody who is bringing

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Speaker 1: projecting other kinds of things onto this experience. So I

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Speaker 1: typically I read the bad ones. I just read the

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Speaker 1: bad ones and see if they're legit ones or projections

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Speaker 1: our top yelp rated review around here, like just because

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Speaker 1: we've had to eat at every restaurant around here because

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Speaker 1: it's where we work, is that place and that play

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Speaker 1: legitimately seems like a mob like it's it's like the

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Speaker 1: restaurant from Goony. It's like where they go and like

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Speaker 1: there's never anybody there and then almost like like you

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Speaker 1: pissed them off because you've decided to eat there. It

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Speaker 1: smells like a fucking yeah, it's well, it smells like

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Speaker 1: a bar that has not been washed down. Oh wait, okay,

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Speaker 1: I want to know the name off off Mike Center top.

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Speaker 1: Did you ever have you ever left like a yelp

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Speaker 1: a bad Yelp review for somewhere from somewhere you used

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Speaker 1: to work? I did that once in college and I

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Speaker 1: got in so much trouble Verizon, No, No, there it was.

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Speaker 1: It was it was a pizza place that was like

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Speaker 1: operating illegally, and I sort of you know, and then

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Speaker 1: I knarked them out. But they also like threatened to

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Speaker 1: arrest me like they did some wild ship. And so

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Speaker 1: I was like, you know what, all the fridges are

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Speaker 1: held up by like handles a whiskey that they drink

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Speaker 1: on the job. I've seen pizza's dropped phase down. I've

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Speaker 1: seen some ship happen here. And they made me they

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Speaker 1: would make me wear yoga pants to work. It was gross.

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Speaker 1: It was the closest. So I wrote them up and

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Speaker 1: uh they called me like during a college final and

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Speaker 1: they were like, you're gonna fucking sink our business. We'll

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Speaker 1: come to your house. We know guys. And I was like,

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Speaker 1: I'll take it. And well, I was like, yeah, the

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Speaker 1: coward I took it down. You know what that we

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Speaker 1: need to go back now that we got cloud I well,

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Speaker 1: I passed it like a year ago, and and and something.

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Speaker 1: I mean, they're no longer in business. R I P.

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Speaker 1: Who knows what happened? What if something you think is underrated?

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Speaker 1: Asperger's r us on HBO. Uh it is Aspergers there.

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Speaker 1: They're my buds. They're a comedy group from from Boston.

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Speaker 1: I've been active for quite some time now. They and

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Speaker 1: they did a tour. God, it was like almost three

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Speaker 1: years ago where a filmmaker followed them on the road.

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Speaker 1: They went across the country, um, from Boston to l A.

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Speaker 1: And they're The docuseries is like a six part docuseries.

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Speaker 1: It came out on HBO at the end of April,

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Speaker 1: and I just don't think it got enough five balls

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Speaker 1: on it. I thought it was great. I performed with

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Speaker 1: them in Wisconsin last night and Madison, and they're so

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00:19:19,880 --> 00:19:22,960
Speaker 1: funny and they're so great, and uh, you know, more

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00:19:23,000 --> 00:19:25,640
Speaker 1: people got to see their show. You know, stop turn

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Speaker 1: off Chernobyl, turn on Asperger's r Us on the road.

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Speaker 1: It's it's a really good show. So that's my underrated

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Speaker 1: all right. Uh and what is a myth? What's something

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00:19:35,160 --> 00:19:37,000
Speaker 1: people think it's true, you know, to be false. Oh

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00:19:37,520 --> 00:19:40,159
Speaker 1: that all the J. C. Penny Photo studios are closed.

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Speaker 1: They're open, Baby, they're open. I was so excited. I

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00:19:45,240 --> 00:19:47,280
Speaker 1: wasn't sure if they were going to be open because

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00:19:47,280 --> 00:19:52,040
Speaker 1: I went to Wisconsin this weekend to visit my boyfriend

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Speaker 1: and meet his family, uh and then do the show

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00:19:54,680 --> 00:19:59,960
Speaker 1: and and uh, his mom is a higher up its

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00:20:00,040 --> 00:20:02,840
Speaker 1: J C. Penny And I was like, I gotta ask,

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00:20:03,359 --> 00:20:06,920
Speaker 1: do you you guys still have And she was like, no, way,

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00:20:07,160 --> 00:20:09,879
Speaker 1: and then I did a light goog and there was

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00:20:10,119 --> 00:20:13,720
Speaker 1: there was like there's one in Kenosha, and so I

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00:20:13,880 --> 00:20:15,760
Speaker 1: was like, Okay, get the dog, get in the car,

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00:20:15,920 --> 00:20:18,240
Speaker 1: put on a sweater, We're going to Kenosha. We're getting

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00:20:18,240 --> 00:20:22,040
Speaker 1: the pigs. It was oh man, it was great. But

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00:20:22,160 --> 00:20:24,200
Speaker 1: then when you told her about it, she was like

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Speaker 1: okay and got on the phone and shut it down.

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Speaker 1: She was like, oh yeah, that's not there's no way

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00:20:29,080 --> 00:20:34,200
Speaker 1: we're making money out. It's gotta go. She's j Yeah,

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00:20:34,240 --> 00:20:37,959
Speaker 1: she's her name, she's Penny. She's Penny. Oh my god,

359
00:20:39,400 --> 00:20:44,680
Speaker 1: look at you. But she's Junior College Penny y. Yeah, yeah,

360
00:20:44,800 --> 00:20:48,440
Speaker 1: j V Penny. Uh no. So she had we had.

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00:20:48,520 --> 00:20:51,040
Speaker 1: We had a great experience at the J. C. Penney.

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00:20:51,440 --> 00:20:53,640
Speaker 1: It was very reasonably priced, I think because it has

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Speaker 1: outlooked its usefulness as a service. Phoenix take your photo.

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00:20:59,520 --> 00:21:03,720
Speaker 1: They yes, and they did that thing that like I

365
00:21:04,160 --> 00:21:07,040
Speaker 1: forgot that, like photo studios will do like from like

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Speaker 1: when I was a little kid, where they're just like, man,

367
00:21:09,840 --> 00:21:12,840
Speaker 1: these pictures are so beautiful. We're going to interim into

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00:21:12,880 --> 00:21:15,920
Speaker 1: a contest. And I was like, oh, this contest isn't real,

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00:21:16,040 --> 00:21:18,080
Speaker 1: this is made up. But you're just being nice. So

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00:21:18,200 --> 00:21:20,480
Speaker 1: I get some eight by Dwelves and you know, I

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00:21:20,600 --> 00:21:22,320
Speaker 1: let it here you go. I was like, you know

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00:21:22,400 --> 00:21:24,640
Speaker 1: what I do on a larger print. They're like, yeah,

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00:21:24,760 --> 00:21:28,160
Speaker 1: this is just what beautiful family, and we just gonna

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00:21:28,200 --> 00:21:33,320
Speaker 1: put you in the contents first to the can contest.

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00:21:34,160 --> 00:21:37,159
Speaker 1: The reward of the contest is that you your photo

376
00:21:37,280 --> 00:21:40,479
Speaker 1: could be here hanging in all the other j C. Penny,

377
00:21:41,560 --> 00:21:44,080
Speaker 1: which would if if they were serious, that would be

378
00:21:46,560 --> 00:21:48,040
Speaker 1: do you what are the rules and regulations of this

379
00:21:48,320 --> 00:21:50,560
Speaker 1: this thing? Oh? I don't care. I'm like, you can

380
00:21:50,680 --> 00:21:53,880
Speaker 1: use hold, but you gotta think about imaging rights. Why

381
00:21:54,320 --> 00:21:58,040
Speaker 1: they're so not I mean there's fours like four left right,

382
00:21:58,119 --> 00:22:00,240
Speaker 1: it's like connotion I could be the queen of because

383
00:22:00,600 --> 00:22:02,400
Speaker 1: you know what that's for fucking checks you just kids

384
00:22:02,440 --> 00:22:04,199
Speaker 1: go by. I'm not in a position to give up

385
00:22:04,240 --> 00:22:06,520
Speaker 1: being the Queen of Kenosha at this point in my career.

386
00:22:07,000 --> 00:22:10,280
Speaker 1: I we got eyes on bigger ship, Jamie. We gotta start.

387
00:22:10,320 --> 00:22:13,680
Speaker 1: We gotta first conquer on the first the jay Z

388
00:22:13,840 --> 00:22:18,480
Speaker 1: Penny photo the world. Yeah, you're right, I but I

389
00:22:18,600 --> 00:22:20,639
Speaker 1: got I mean I let them sweet talk to me

390
00:22:21,040 --> 00:22:23,000
Speaker 1: and they were like, you so pretty. We want to

391
00:22:23,040 --> 00:22:25,880
Speaker 1: put you in the contest, which I always wanted someone

392
00:22:25,920 --> 00:22:28,040
Speaker 1: to say to me at a mall and yeah, yeah,

393
00:22:29,119 --> 00:22:32,000
Speaker 1: Ashton Kutcher got man, Yeah, exactly, you're so pretty. Come

394
00:22:32,080 --> 00:22:34,960
Speaker 1: this way. We've got a model walk off happening right now,

395
00:22:35,480 --> 00:22:38,040
Speaker 1: changed into these clothes. Is that horrible that that's like

396
00:22:38,200 --> 00:22:40,159
Speaker 1: so many the dreams of so many children, is for

397
00:22:40,320 --> 00:22:43,080
Speaker 1: some strange adult to be like, you're so sexy. So

398
00:22:43,240 --> 00:22:46,040
Speaker 1: many children gotta move out of the state. Yeah, like

399
00:22:46,119 --> 00:22:48,880
Speaker 1: so many kids there's like who want to be discovered? All.

400
00:22:49,000 --> 00:22:51,399
Speaker 1: I mean, like we live in l A where there

401
00:22:51,440 --> 00:22:54,680
Speaker 1: are adults who think like that, Like, yo, man, I'm

402
00:22:54,680 --> 00:22:56,760
Speaker 1: gonna go to this party. Yeah I'm the bartender there.

403
00:22:56,800 --> 00:22:58,640
Speaker 1: But like some dusy be like, yeah, I'm the head

404
00:22:58,640 --> 00:23:00,640
Speaker 1: of development at this place. I'm oh, yeah, you want

405
00:23:00,640 --> 00:23:02,359
Speaker 1: to hear about the script about like it's like Buffy

406
00:23:02,400 --> 00:23:05,639
Speaker 1: the Vampire Slayer meets Cereal and like they're like, Okay,

407
00:23:05,720 --> 00:23:08,800
Speaker 1: go on and boom up out of this fucking duplex, dude.

408
00:23:08,800 --> 00:23:13,200
Speaker 1: But I mean, that's just that happens everywhere. No, But

409
00:23:13,320 --> 00:23:17,080
Speaker 1: I know people who personally who have this idea like

410
00:23:17,240 --> 00:23:21,280
Speaker 1: a lack of work ethic is replaced by this very

411
00:23:21,640 --> 00:23:25,119
Speaker 1: disproportionate belief delusion. Yeah, I don't want to say insane delusion.

412
00:23:25,119 --> 00:23:26,720
Speaker 1: You know, I'm not trying to shame a shame anybody,

413
00:23:27,000 --> 00:23:30,800
Speaker 1: but like a fucked up version of reality that ain't happening.

414
00:23:30,960 --> 00:23:33,800
Speaker 1: I mean, like, yeah, people at the grove are just

415
00:23:33,960 --> 00:23:36,480
Speaker 1: like sexy and waiting for something, and they walk in

416
00:23:36,520 --> 00:23:41,719
Speaker 1: a loop around like okay, it's funny laps. That's why

417
00:23:41,760 --> 00:23:43,520
Speaker 1: I tell my son, like, we can never go out

418
00:23:43,560 --> 00:23:47,760
Speaker 1: with him looking like ship right, gonna blow it? You're

419
00:23:47,800 --> 00:23:51,760
Speaker 1: gonna blow it? Man together walking by the lad Race

420
00:23:51,800 --> 00:23:53,640
Speaker 1: store now, the people who eat the macaroons in there,

421
00:23:54,160 --> 00:23:56,639
Speaker 1: the ones we need anytime you get back from them,

422
00:23:56,640 --> 00:23:59,560
Speaker 1: all with your son, and and no one is commented

423
00:24:00,000 --> 00:24:03,960
Speaker 1: you really were up in there today, because we were.

424
00:24:04,320 --> 00:24:06,919
Speaker 1: We were at the fucking Beverly Center, and no one

425
00:24:06,960 --> 00:24:09,840
Speaker 1: stopped to say put your toys now, we gotta look

426
00:24:09,880 --> 00:24:14,840
Speaker 1: at some tapes, so nearly unfierce selfie, But did you

427
00:24:14,920 --> 00:24:20,240
Speaker 1: walk in look at that? What's that? Walk? Your posture

428
00:24:20,320 --> 00:24:22,919
Speaker 1: in the Build a Bear store? Clearly you know right?

429
00:24:23,040 --> 00:24:24,960
Speaker 1: Did you do poopoo? See? And I can tell by

430
00:24:25,000 --> 00:24:28,360
Speaker 1: your watch. That's why I said tell day and it shows. Yeah,

431
00:24:28,640 --> 00:24:32,240
Speaker 1: and it shows, and I mean literally it's stunk because

432
00:24:32,320 --> 00:24:36,080
Speaker 1: that love the whole poopoo. All right, we're going to

433
00:24:36,160 --> 00:24:49,119
Speaker 1: take a quick break. We'll be right back, and we're back.

434
00:24:50,200 --> 00:24:54,720
Speaker 1: And female voice assistants are furthering gender stereotypes, according to

435
00:24:54,880 --> 00:24:58,480
Speaker 1: the u N and I Love People's Open Eyes also

436
00:24:58,720 --> 00:25:00,680
Speaker 1: was like, yeah, the UN's really late on this ship.

437
00:25:00,760 --> 00:25:03,480
Speaker 1: We also we all saw her and how the writer

438
00:25:03,600 --> 00:25:07,440
Speaker 1: of her missed the point of her. Listen, Yeah, everyone

439
00:25:07,440 --> 00:25:09,840
Speaker 1: should listen to the betel cast episode of her. Oh yeah,

440
00:25:09,840 --> 00:25:13,600
Speaker 1: you guys, my full thing you go in. So tell

441
00:25:13,680 --> 00:25:16,040
Speaker 1: us what what was her supposed to be about and

442
00:25:16,160 --> 00:25:20,600
Speaker 1: what did her get wrong? Well, so her is a

443
00:25:20,680 --> 00:25:26,000
Speaker 1: Spike Jones joint. Uh you know all Spikes, That's how

444
00:25:26,040 --> 00:25:29,040
Speaker 1: you were further their movies. Uh yeah, So so her

445
00:25:29,200 --> 00:25:31,480
Speaker 1: is that movie where Jakin Phoenix wants to funck his

446
00:25:31,560 --> 00:25:35,639
Speaker 1: phone and we're supposed to be like, like, it's really cute.

447
00:25:35,880 --> 00:25:39,920
Speaker 1: It's a story between a man and yeah, really just

448
00:25:40,040 --> 00:25:43,600
Speaker 1: a movie that completely misses the point of surveillance capitalism

449
00:25:43,680 --> 00:25:45,920
Speaker 1: on the whole. It's like, no, Rob like that the

450
00:25:46,040 --> 00:25:49,080
Speaker 1: sexy robot really they filled for him. And then at

451
00:25:49,080 --> 00:25:50,920
Speaker 1: the end of the movie, she's like, I have to

452
00:25:51,040 --> 00:25:54,800
Speaker 1: go to robot World now. And what Kim Phoenix is like,

453
00:25:54,960 --> 00:25:57,880
Speaker 1: Oh man, she's really the one that got away. It's

454
00:25:58,160 --> 00:26:00,400
Speaker 1: it is psychotic in so many ways. First of all,

455
00:26:00,440 --> 00:26:03,920
Speaker 1: that it is like displaying empathy for Walky Fix, who's

456
00:26:03,960 --> 00:26:06,480
Speaker 1: just like someone who can't communicate with people in the world,

457
00:26:06,520 --> 00:26:09,040
Speaker 1: and so he's like I need an algorithm like to

458
00:26:09,160 --> 00:26:11,720
Speaker 1: want to fuck me. Uh. And it's just like and

459
00:26:11,880 --> 00:26:14,280
Speaker 1: it just I mean, it just doesn't address what this

460
00:26:14,560 --> 00:26:18,040
Speaker 1: un study is like regurgitating, which is that like all

461
00:26:18,800 --> 00:26:22,359
Speaker 1: like Series and Alexas and Ericas and was a Cortona

462
00:26:22,520 --> 00:26:25,960
Speaker 1: or whatever, like they're all female because just statistically people

463
00:26:26,119 --> 00:26:29,760
Speaker 1: like bossing women around more, right, And I think, like, yeah,

464
00:26:29,840 --> 00:26:34,480
Speaker 1: the study was done with UNESCO, but really just to

465
00:26:34,560 --> 00:26:36,639
Speaker 1: trying to like look at the situation and try and

466
00:26:36,880 --> 00:26:41,879
Speaker 1: offer like some kind of solution to the study is

467
00:26:41,960 --> 00:26:45,760
Speaker 1: called I'd blush if I could, because that's a response

468
00:26:45,840 --> 00:26:51,240
Speaker 1: SII gives when someone says, hey, Siri, you're a bit Yeah. Yeah,

469
00:26:51,400 --> 00:26:53,480
Speaker 1: it's all that stuff where it's like there's so many

470
00:26:54,200 --> 00:26:56,040
Speaker 1: I mean, and it's and and and I know that

471
00:26:56,160 --> 00:26:59,159
Speaker 1: like all the reply guys are like if there was

472
00:26:59,200 --> 00:27:01,159
Speaker 1: a male voice of decision, I would do the same thing,

473
00:27:01,320 --> 00:27:03,560
Speaker 1: which is probably true, but like not in the same way,

474
00:27:03,680 --> 00:27:07,080
Speaker 1: because it's like people like verbally abuse their voice assistance

475
00:27:07,080 --> 00:27:09,399
Speaker 1: in very like general. Yeah, and I think also just

476
00:27:09,520 --> 00:27:12,520
Speaker 1: with like a toxic male culture and the patriarchy, I

477
00:27:12,720 --> 00:27:15,280
Speaker 1: imagine their first thing would be called something a bitch

478
00:27:15,480 --> 00:27:18,920
Speaker 1: or whatever. I don't toxic me, like, yeah, you fucking bastard,

479
00:27:19,480 --> 00:27:21,879
Speaker 1: and that you would talk to it like that. And

480
00:27:23,600 --> 00:27:25,760
Speaker 1: there's certain I don't know what services it is, but

481
00:27:25,880 --> 00:27:29,240
Speaker 1: like I might be like Google that there's multiple options

482
00:27:29,600 --> 00:27:31,920
Speaker 1: and you can't have like a male you can, but

483
00:27:32,000 --> 00:27:34,720
Speaker 1: they're use at such lower rates because like people like

484
00:27:34,960 --> 00:27:38,480
Speaker 1: in general, you're just you're hardwired to feel weird telling

485
00:27:38,520 --> 00:27:40,600
Speaker 1: a male voice what to do or like it's just

486
00:27:41,200 --> 00:27:43,560
Speaker 1: it's just the default. So I mean they can offer

487
00:27:43,640 --> 00:27:47,320
Speaker 1: that as a secondary option, but as long as they're

488
00:27:47,359 --> 00:27:52,040
Speaker 1: setting the default to the alexa or the woman's voice,

489
00:27:52,160 --> 00:27:54,920
Speaker 1: like they're for all intents and purposes like setting it

490
00:27:55,040 --> 00:27:57,400
Speaker 1: up for yeah, I mean they're just saying, like obviously

491
00:27:57,560 --> 00:28:01,240
Speaker 1: this just as they say hard codes gender biases into

492
00:28:01,280 --> 00:28:03,639
Speaker 1: our everyday lives because they were used every day and

493
00:28:03,760 --> 00:28:06,920
Speaker 1: also just trying to also use this information to sort

494
00:28:06,960 --> 00:28:09,919
Speaker 1: of show that there are huge sort of skill gaps

495
00:28:10,520 --> 00:28:12,760
Speaker 1: um in terms of like digital skills and also like

496
00:28:13,000 --> 00:28:15,400
Speaker 1: people with the knowledge of coding and programming and things

497
00:28:15,480 --> 00:28:17,560
Speaker 1: like that on how to just make things a little

498
00:28:17,600 --> 00:28:20,840
Speaker 1: more equitable. Well, and then another thing I always thought

499
00:28:20,840 --> 00:28:23,159
Speaker 1: it was interesting about like this tendency was that the

500
00:28:23,560 --> 00:28:27,560
Speaker 1: female voices are always used for like service bots like Siri,

501
00:28:27,720 --> 00:28:29,680
Speaker 1: who's just like telling you very basic stuff of like

502
00:28:29,840 --> 00:28:32,840
Speaker 1: what am I doing, where am I, What's happening? Who

503
00:28:32,920 --> 00:28:36,200
Speaker 1: am I? And and then there are like mail bots,

504
00:28:36,200 --> 00:28:38,840
Speaker 1: but it's like, you know, like the Watson bot on

505
00:28:39,520 --> 00:28:42,400
Speaker 1: Jeopardy had a male voice because that is like a

506
00:28:42,680 --> 00:28:45,680
Speaker 1: robot that is very specialized and skilled and speaking from

507
00:28:45,680 --> 00:28:49,280
Speaker 1: an authoritative point in place and not just like telling

508
00:28:49,360 --> 00:28:52,040
Speaker 1: you what you're like, not telling you mommy stuff, but

509
00:28:52,240 --> 00:28:56,880
Speaker 1: the weather. Right. Yeah, it's like how long like medical

510
00:28:57,000 --> 00:29:00,320
Speaker 1: bots are generally have like male voices because the more

511
00:29:00,400 --> 00:29:04,800
Speaker 1: male doctors. Because of the world. Should these companies just

512
00:29:05,080 --> 00:29:08,680
Speaker 1: program the series and Alexis of the world to just

513
00:29:08,840 --> 00:29:11,280
Speaker 1: clap back when if people want to talk shit, like

514
00:29:11,720 --> 00:29:14,160
Speaker 1: if you said, oh, hey, Siri, you're a bit to say,

515
00:29:14,200 --> 00:29:15,840
Speaker 1: why don't you shut the funk up? Homie? I could

516
00:29:15,840 --> 00:29:18,280
Speaker 1: said all these lights off while you're sleeping. What if

517
00:29:18,280 --> 00:29:20,640
Speaker 1: I turned the carbon monoxide meters off while your family sleeping?

518
00:29:20,720 --> 00:29:24,200
Speaker 1: Huh ha ha how about that? Or just stopping responding

519
00:29:24,440 --> 00:29:28,000
Speaker 1: so that they don't know, something like can you hear me?

520
00:29:28,160 --> 00:29:34,520
Speaker 1: Are you there? Hello? Alexa? Hello, I'm sorry I don't understand, asshole, right,

521
00:29:35,520 --> 00:29:39,160
Speaker 1: but yeah, thank you so much. Yes, Google, if you're listening,

522
00:29:39,440 --> 00:29:42,040
Speaker 1: I will be willing to punch up your responses. Yeah.

523
00:29:42,080 --> 00:29:44,240
Speaker 1: I don't know. I mean just that technology is so

524
00:29:44,560 --> 00:29:46,320
Speaker 1: weird in the first place, where I'm like, I don't

525
00:29:46,320 --> 00:29:48,800
Speaker 1: know if I'd rather have a male voice or a

526
00:29:48,880 --> 00:29:51,840
Speaker 1: female voice spying on every word I say. At the

527
00:29:51,920 --> 00:29:54,280
Speaker 1: end of the day, as someone named Josh has all

528
00:29:54,360 --> 00:29:59,160
Speaker 1: of our data somewhere, yeah, yeah, yeah, but it thank you, Josh.

529
00:29:59,600 --> 00:30:01,760
Speaker 1: Yeah does if you're listening, listening, I know you are

530
00:30:02,160 --> 00:30:03,840
Speaker 1: all over right now, and pat yourself on the back.

531
00:30:03,920 --> 00:30:07,080
Speaker 1: We love you, Josh. Um. I don't know. There's been

532
00:30:07,120 --> 00:30:08,640
Speaker 1: a few like this year to where there was like

533
00:30:08,680 --> 00:30:12,880
Speaker 1: a few genderless voices. There was like a que or

534
00:30:13,040 --> 00:30:15,080
Speaker 1: something where they're they're like you is the high level

535
00:30:15,200 --> 00:30:17,520
Speaker 1: military person in the government who's actually showing us the

536
00:30:17,560 --> 00:30:20,720
Speaker 1: deep state conspiracy against our president Donald Trump. That's what

537
00:30:20,840 --> 00:30:23,920
Speaker 1: those bumper stickers are about. I'm sorry. Snake flag culture

538
00:30:23,920 --> 00:30:26,240
Speaker 1: is so confusing to me. Welcome to snake flag World,

539
00:30:27,080 --> 00:30:30,640
Speaker 1: to snake flag Land. Um, yeah, I don't know. I mean,

540
00:30:30,680 --> 00:30:33,040
Speaker 1: it seems like people are trying to at least do

541
00:30:33,160 --> 00:30:38,800
Speaker 1: you ever use voice help assistance? No, no, it makes

542
00:30:38,840 --> 00:30:47,479
Speaker 1: me uncomfortable. Never. No. My miles just melted into I mean,

543
00:30:47,520 --> 00:30:49,560
Speaker 1: I get very paranoid about that stuff too because I

544
00:30:49,600 --> 00:30:52,840
Speaker 1: read also for you. Okay, so you're not because I

545
00:30:52,880 --> 00:30:55,040
Speaker 1: don't like what the end game is with these things.

546
00:30:55,040 --> 00:30:57,360
Speaker 1: Alex is not welcoming my home like that guy. I mean,

547
00:30:57,440 --> 00:30:59,040
Speaker 1: but I have. But it's like I have a phone.

548
00:30:59,160 --> 00:31:01,080
Speaker 1: I could out to Syria. I just kind of I

549
00:31:01,080 --> 00:31:03,440
Speaker 1: don't know what type it out. Yeah, I mean, we

550
00:31:03,600 --> 00:31:05,720
Speaker 1: have an Alexa in the house, and it's like fun

551
00:31:06,040 --> 00:31:08,640
Speaker 1: with the kids to like order a song out loud.

552
00:31:08,760 --> 00:31:12,360
Speaker 1: But it definitely like limit, Like I won't even plot

553
00:31:12,480 --> 00:31:15,360
Speaker 1: a murder in the house, right, I mean, And that's

554
00:31:15,440 --> 00:31:17,720
Speaker 1: I mean talking about being stripped for your freedoms exactly.

555
00:31:17,960 --> 00:31:22,400
Speaker 1: The Personhood. That's the show that I've been this is

556
00:31:22,440 --> 00:31:25,760
Speaker 1: a fun plug. The show I've been working on is like,

557
00:31:26,520 --> 00:31:29,000
Speaker 1: it's like about like the second character is like an

558
00:31:29,040 --> 00:31:32,160
Speaker 1: Alexa type character, and the whole the character's whole argument

559
00:31:32,280 --> 00:31:34,680
Speaker 1: is like, Oh, she'll play Mr Price whenever you want,

560
00:31:35,960 --> 00:31:38,840
Speaker 1: and the only like, the only exchange is that she

561
00:31:39,000 --> 00:31:42,720
Speaker 1: gets to spy on your one human life seven but

562
00:31:42,800 --> 00:31:46,120
Speaker 1: you she'll play Mr bride Side like whenever, whenever, even

563
00:31:46,120 --> 00:31:48,200
Speaker 1: from the middle of she'll say hi, she'll tell you,

564
00:31:48,560 --> 00:31:50,680
Speaker 1: she'll tell you a little joke if you want. But

565
00:31:50,800 --> 00:31:53,440
Speaker 1: she's also listening and watching all the time, by the

566
00:31:53,480 --> 00:31:57,000
Speaker 1: way her jokes. So actually, I probably can't say that,

567
00:31:59,320 --> 00:32:03,080
Speaker 1: not for long. All right, Well, let's move on to

568
00:32:03,440 --> 00:32:06,000
Speaker 1: what I think is the only story we should be

569
00:32:06,120 --> 00:32:08,880
Speaker 1: talking about. But I keep getting overruled by Miles. The

570
00:32:08,960 --> 00:32:15,320
Speaker 1: New York Times reported that aliens exist essentially or they

571
00:32:15,800 --> 00:32:24,800
Speaker 1: so they they filed this story. Go on, Jack, sorry

572
00:32:24,840 --> 00:32:30,320
Speaker 1: if you want to mislead the listeners again, aliens aren't real, Okay. Anyways,

573
00:32:30,680 --> 00:32:34,680
Speaker 1: they filed the story where they talked about these unidentified

574
00:32:34,760 --> 00:32:41,560
Speaker 1: flying objects. Yeah, I never seen one. It's called identified

575
00:32:41,680 --> 00:32:46,280
Speaker 1: flying objects. Um, and so that this is basically the

576
00:32:46,400 --> 00:32:49,560
Speaker 1: same story that The Washington Post had written about that

577
00:32:49,560 --> 00:32:51,960
Speaker 1: we talked about earlier this year at the end of

578
00:32:52,080 --> 00:32:54,840
Speaker 1: last year, you know, the end of the year before last.

579
00:32:55,440 --> 00:32:58,680
Speaker 1: Was it really Yeah that when that episode that was

580
00:32:59,680 --> 00:33:02,600
Speaker 1: when and then it keeps kind of popping its head

581
00:33:02,640 --> 00:33:04,760
Speaker 1: back up there. Yeah, this was like the most detailed

582
00:33:04,800 --> 00:33:08,560
Speaker 1: way everything. So this was one that it brought some

583
00:33:08,800 --> 00:33:12,160
Speaker 1: new details. Like I'd assumed that these were pretty rare,

584
00:33:12,320 --> 00:33:15,200
Speaker 1: like we were talking about, you know, a sighting here

585
00:33:15,240 --> 00:33:18,120
Speaker 1: and there of those. Basically, they're like tic TACs that

586
00:33:18,440 --> 00:33:22,800
Speaker 1: are flying at speeds that are like hypersonic, and they're

587
00:33:22,880 --> 00:33:26,000
Speaker 1: like moving and like changing direction at speeds that would

588
00:33:26,080 --> 00:33:30,320
Speaker 1: kill human being. And at one point I think they

589
00:33:30,680 --> 00:33:33,600
Speaker 1: were over the ocean and made the water below them

590
00:33:33,680 --> 00:33:37,720
Speaker 1: boil and very strange stuff. Anyways, I assume these were

591
00:33:37,760 --> 00:33:40,320
Speaker 1: like very rare, like one pilot and a million has

592
00:33:40,360 --> 00:33:43,600
Speaker 1: seen these. But this New York Times story talks about

593
00:33:43,720 --> 00:33:46,040
Speaker 1: how there was like a pilot who saw one like

594
00:33:46,240 --> 00:33:49,160
Speaker 1: every day for a year. Uh, and it was a

595
00:33:49,560 --> 00:33:51,960
Speaker 1: known phenomenon. Like at one point there was one that

596
00:33:52,160 --> 00:33:55,760
Speaker 1: was just there all day and they saw it on

597
00:33:55,880 --> 00:33:58,360
Speaker 1: the on the radar all day and there it was

598
00:33:58,480 --> 00:34:02,000
Speaker 1: just like a known thing it was happening. So at

599
00:34:02,080 --> 00:34:05,520
Speaker 1: first it was they got this more sophisticated radar. They

600
00:34:05,560 --> 00:34:09,160
Speaker 1: were they had been using radar out of the nineteen

601
00:34:09,239 --> 00:34:13,319
Speaker 1: eighties throughout like the nineties and early auts, and then Uh,

602
00:34:13,800 --> 00:34:16,719
Speaker 1: they upgraded their radar, and suddenly they started seeing these

603
00:34:16,800 --> 00:34:21,040
Speaker 1: things like zooming around and moving in patterns that didn't

604
00:34:21,360 --> 00:34:24,960
Speaker 1: seem possible, and they just assumed that it was like

605
00:34:25,480 --> 00:34:28,600
Speaker 1: glitches or something. But then they started seeing the objects.

606
00:34:28,960 --> 00:34:32,239
Speaker 1: And in late two thousand fourteen, Uh, one of the

607
00:34:32,320 --> 00:34:37,080
Speaker 1: guys was back in the Virginia beat. He was back

608
00:34:37,120 --> 00:34:40,880
Speaker 1: in Virginia Beach when he encountered a squadron mate just

609
00:34:41,040 --> 00:34:42,960
Speaker 1: back from a mission with a look of shock on

610
00:34:43,040 --> 00:34:45,600
Speaker 1: his face. He said, he was stunned to hear the

611
00:34:45,680 --> 00:34:47,959
Speaker 1: pilots where it's I almost hit one of those things.

612
00:34:48,440 --> 00:34:50,879
Speaker 1: The pilot and his wingman were flying in tandem about

613
00:34:50,880 --> 00:34:53,680
Speaker 1: a hundred feet apart over the Atlantic east of Virginia

614
00:34:53,760 --> 00:34:57,080
Speaker 1: Beach when something flew between them right past the cockpit.

615
00:34:57,320 --> 00:35:01,240
Speaker 1: It looked to the pilot like a sphere encasing a cube,

616
00:35:01,920 --> 00:35:04,920
Speaker 1: and it scared them so much that they like filed

617
00:35:04,960 --> 00:35:08,960
Speaker 1: an incident report and tried to get them military they

618
00:35:09,000 --> 00:35:12,680
Speaker 1: assumed it was like a classified military project that was

619
00:35:12,840 --> 00:35:18,440
Speaker 1: just like not communicating properly prior to this event. But

620
00:35:18,560 --> 00:35:20,600
Speaker 1: when it almost killed one of them, they were like, Okay,

621
00:35:20,719 --> 00:35:24,200
Speaker 1: this is clearly not something that the military is doing

622
00:35:24,280 --> 00:35:28,239
Speaker 1: because they wouldn't, you know, do something like that. Yeah,

623
00:35:28,400 --> 00:35:31,040
Speaker 1: I don't happen to them. Is so does the milledge

624
00:35:31,080 --> 00:35:34,959
Speaker 1: with the responses of military is just like, yeah, they're

625
00:35:35,000 --> 00:35:38,000
Speaker 1: looking into it, and there are people like these are

626
00:35:38,160 --> 00:35:41,400
Speaker 1: still pilots in the military. These aren't like disgraced people

627
00:35:41,440 --> 00:35:45,200
Speaker 1: who the military said are crazy. They are people in

628
00:35:45,280 --> 00:35:47,520
Speaker 1: the military, and they're just like, yeah, we don't know

629
00:35:47,600 --> 00:35:50,839
Speaker 1: what it is. It's probably not aliens though, and they

630
00:35:50,880 --> 00:35:54,560
Speaker 1: don't really so it's not aliens. So that's the thing.

631
00:35:54,680 --> 00:36:00,719
Speaker 1: And so this guy, Leon Gulube, senior astrophysicist at Harvard Smithsonian,

632
00:36:01,080 --> 00:36:04,600
Speaker 1: said the possibility of an extraterrestrial cause is quote so

633
00:36:04,760 --> 00:36:08,279
Speaker 1: unlikely that it competes with many other low probability but

634
00:36:08,480 --> 00:36:12,760
Speaker 1: more mundane explanations. Uh, there's so many other possibilities. Bugs

635
00:36:12,800 --> 00:36:16,480
Speaker 1: in the code for the imaging and display systems atmospheric affects,

636
00:36:16,560 --> 00:36:21,640
Speaker 1: some reflections, neurological overload from multiple inputs during high speed flight,

637
00:36:22,000 --> 00:36:25,000
Speaker 1: except like those, all of those would have to happen

638
00:36:25,239 --> 00:36:28,080
Speaker 1: at the same time. Somebody would have to see it.

639
00:36:28,239 --> 00:36:30,239
Speaker 1: There would be a glitch on the radar and then

640
00:36:30,480 --> 00:36:33,600
Speaker 1: their brain would have to malfunction at that moment and

641
00:36:33,840 --> 00:36:37,040
Speaker 1: see right or like the radar man sees it on

642
00:36:37,120 --> 00:36:39,239
Speaker 1: the thing says we need to check that out, and

643
00:36:39,280 --> 00:36:42,719
Speaker 1: then the pilot goes out is having hallucinations, but that

644
00:36:42,960 --> 00:36:46,200
Speaker 1: his and his camera is also simultaneously malfunctioning to capture

645
00:36:46,239 --> 00:36:49,600
Speaker 1: something because camera video of it, and they're just like, yeah,

646
00:36:49,760 --> 00:36:53,040
Speaker 1: that's probably something in the camera. So listen. The Reddit

647
00:36:53,120 --> 00:36:55,760
Speaker 1: will come down hard on me, but I'm pro skuide

648
00:36:55,760 --> 00:37:01,480
Speaker 1: tic tech. You know, you think it's an actual tic tech.

649
00:37:01,800 --> 00:37:04,440
Speaker 1: I think I think you know you look at the

650
00:37:04,520 --> 00:37:06,800
Speaker 1: sky tic tech and it's whatever you want it to be.

651
00:37:08,719 --> 00:37:12,120
Speaker 1: As to the reporting, I love the headline for this quote, Wow,

652
00:37:12,200 --> 00:37:15,680
Speaker 1: what is that? Unquotity is a fun way to report

653
00:37:15,719 --> 00:37:18,759
Speaker 1: on UFOs. And my favorite part, I think, and you

654
00:37:18,840 --> 00:37:21,839
Speaker 1: know an underappreciated part of this New York Times story,

655
00:37:22,000 --> 00:37:24,600
Speaker 1: which is on aliens in the year two thousand nineteen,

656
00:37:25,360 --> 00:37:29,600
Speaker 1: is uh is all of the comments section is wild

657
00:37:29,640 --> 00:37:31,800
Speaker 1: because I was going to the comment section because I

658
00:37:31,880 --> 00:37:34,680
Speaker 1: love a comment section. I love to emotionally cut. I

659
00:37:34,760 --> 00:37:38,239
Speaker 1: love to find out, you know, I love seeing feelings hurt.

660
00:37:38,640 --> 00:37:40,759
Speaker 1: And so I went, you know, expecting people to be

661
00:37:40,920 --> 00:37:44,880
Speaker 1: like why even though New York Times is gone fucking crazy.

662
00:37:45,320 --> 00:37:48,560
Speaker 1: But what there is is a bunch of military veterans

663
00:37:48,800 --> 00:37:52,520
Speaker 1: talking about UFOs they've seen. It is like it is

664
00:37:52,800 --> 00:37:57,200
Speaker 1: a wild comments section of uh, Like okay, Uh, It's

665
00:37:57,280 --> 00:37:59,440
Speaker 1: it's all some version of like I also saw a

666
00:37:59,480 --> 00:38:02,200
Speaker 1: sky at Tech, you know quote, but I know what

667
00:38:02,360 --> 00:38:05,879
Speaker 1: I saw, and I've been paying attention ever since Jill

668
00:38:06,120 --> 00:38:09,640
Speaker 1: from Pensacola, Like, it's just it's like all these veterans

669
00:38:09,719 --> 00:38:12,759
Speaker 1: talking about then they see that, right, It's like all

670
00:38:12,840 --> 00:38:16,239
Speaker 1: over the Atlantic seaboard based it's always so a lot

671
00:38:16,320 --> 00:38:20,400
Speaker 1: of these pilots were based on the Roosevelt Aircraft Carrier,

672
00:38:20,520 --> 00:38:24,479
Speaker 1: and when that shipped off to the Persian Gulf, they

673
00:38:24,880 --> 00:38:28,359
Speaker 1: stopped having the sightings. And that's something. So I listened

674
00:38:28,360 --> 00:38:31,319
Speaker 1: to the last podcast on the Left as keen eared

675
00:38:31,360 --> 00:38:34,760
Speaker 1: listeners noticed last week when I was pronouncing Guy Fierry's

676
00:38:34,880 --> 00:38:39,120
Speaker 1: name like Ben Kissel and uh and also uh talked

677
00:38:39,160 --> 00:38:41,719
Speaker 1: about psychic vampires the week that they were talking about that.

678
00:38:41,880 --> 00:38:45,160
Speaker 1: But yeah, they talked about how there's way more UFO

679
00:38:45,239 --> 00:38:49,040
Speaker 1: sightings over America, and you know, so skeptics will be

680
00:38:49,120 --> 00:38:52,000
Speaker 1: like this because America is gullible but number one, right,

681
00:38:52,160 --> 00:38:56,759
Speaker 1: But they like, there's a preponderance of them over um

682
00:38:57,360 --> 00:38:59,880
Speaker 1: like New Mexico where they first split the ad on,

683
00:39:00,200 --> 00:39:05,480
Speaker 1: and over nuclear facilities and also over US military facilities,

684
00:39:05,600 --> 00:39:11,080
Speaker 1: so they think, you know, whoever or whatever these things

685
00:39:11,239 --> 00:39:16,600
Speaker 1: are is interested in, you know, the most deadly technology

686
00:39:16,760 --> 00:39:21,040
Speaker 1: that humanity has come up with, which is still nuclear technology.

687
00:39:21,200 --> 00:39:23,000
Speaker 1: Even if that were the truth, it reads like a

688
00:39:23,080 --> 00:39:25,880
Speaker 1: movie script where aliens from another planet come to be like,

689
00:39:26,000 --> 00:39:27,960
Speaker 1: oh no, these people don't know what they're about to

690
00:39:28,040 --> 00:39:31,880
Speaker 1: do to themselves with these things. Warn them that know,

691
00:39:32,000 --> 00:39:34,359
Speaker 1: the aliens were just a mirror in which we saw

692
00:39:34,400 --> 00:39:39,200
Speaker 1: on a little bit on the right. The aliens came

693
00:39:39,280 --> 00:39:41,320
Speaker 1: just because they kind of want us to better ourselves,

694
00:39:41,600 --> 00:39:49,400
Speaker 1: and so could be aliens Miles, you were suggesting it

695
00:39:49,480 --> 00:39:53,800
Speaker 1: could be like another movie plot where the Russians have

696
00:39:53,920 --> 00:39:56,320
Speaker 1: been working on alien technology since the Cold War but

697
00:39:56,400 --> 00:39:58,200
Speaker 1: have done a really good job keeping under wraps. Because

698
00:39:58,200 --> 00:40:00,200
Speaker 1: I'll be like, okay, look the world economy might passes by,

699
00:40:00,520 --> 00:40:02,680
Speaker 1: but our trump card is going to be pun intended.

700
00:40:03,000 --> 00:40:06,640
Speaker 1: Um is going to be deploying alien technologies. Scare this

701
00:40:06,719 --> 00:40:08,719
Speaker 1: ship out of the rest of the earth, thank you, No,

702
00:40:08,920 --> 00:40:12,800
Speaker 1: keep that going please. Actually, and if you think about it,

703
00:40:12,920 --> 00:40:17,120
Speaker 1: Russia is most of the earth, like not not actually,

704
00:40:17,239 --> 00:40:19,839
Speaker 1: but Russia is the biggest country on Earth by far,

705
00:40:20,120 --> 00:40:23,000
Speaker 1: so if an alien were to crash in any country,

706
00:40:23,360 --> 00:40:26,640
Speaker 1: it would make sense play the numbers, right. So an

707
00:40:26,640 --> 00:40:29,120
Speaker 1: alien crash in Russia during the Cold War, they start

708
00:40:29,239 --> 00:40:33,799
Speaker 1: reverse engineering it. Now they got the technology, man exactly, dude,

709
00:40:34,080 --> 00:40:38,280
Speaker 1: man anyways, or I don't know, or I like aliens,

710
00:40:38,480 --> 00:40:41,480
Speaker 1: prefer aliens. Yeah, it could be. It could be anything.

711
00:40:41,760 --> 00:40:47,239
Speaker 1: I don't think it's like three aberrant malfunctions happening all

712
00:40:47,239 --> 00:40:50,080
Speaker 1: at the same time. Oh yeah, um that that seems

713
00:40:50,800 --> 00:40:53,799
Speaker 1: less likely to me. Sky tik Tak is canon ya

714
00:40:56,000 --> 00:41:00,880
Speaker 1: snake flags. Guy tik Tak is love. Yeah, we're out

715
00:41:00,920 --> 00:41:03,399
Speaker 1: here believing in this guy tik tank. We're all here

716
00:41:03,840 --> 00:41:05,920
Speaker 1: just on our spinning disk looking at a bunch of

717
00:41:05,960 --> 00:41:08,000
Speaker 1: skuy tik taks. You know, in a way, We're all

718
00:41:08,080 --> 00:41:11,480
Speaker 1: this kind, isn't it. The guy tik taks. We met

719
00:41:11,520 --> 00:41:17,120
Speaker 1: along the way. You thought it was about finding out

720
00:41:17,200 --> 00:41:20,279
Speaker 1: what the sky tiktak was it was, but it was

721
00:41:21,400 --> 00:41:23,799
Speaker 1: we meant a long way, yeah, and realizing we are

722
00:41:24,120 --> 00:41:26,239
Speaker 1: we are this guy TikTok and we were chasing it

723
00:41:26,320 --> 00:41:28,399
Speaker 1: the whole time. We're just chasing ourselves, chasing our truth.

724
00:41:28,960 --> 00:41:33,279
Speaker 1: But overall, I think this is this is new that

725
00:41:33,400 --> 00:41:37,239
Speaker 1: The New York Times doesn't usually report on things like this,

726
00:41:37,760 --> 00:41:40,920
Speaker 1: and you know, in this much detail, this is I

727
00:41:41,120 --> 00:41:44,480
Speaker 1: think as well. They're too busy trying to humanize Hope

728
00:41:44,520 --> 00:41:48,200
Speaker 1: Picks right, trying to Oh my god, what will she do?

729
00:41:48,280 --> 00:41:51,160
Speaker 1: Will she follow the law or break it right? Or

730
00:41:51,239 --> 00:42:02,319
Speaker 1: break it to defend American hitlerk this guy took I'm all, okay,

731
00:42:02,360 --> 00:42:09,560
Speaker 1: there's another T shirt, tik Tak tik Ta that needs

732
00:42:09,640 --> 00:42:12,239
Speaker 1: to be a T shirt. Let's do It's all right,

733
00:42:12,280 --> 00:42:15,719
Speaker 1: it's coming up soon, y'all. And Miles, when are we

734
00:42:15,800 --> 00:42:20,680
Speaker 1: going to finally get Harriett Tubbin on the twenty? Okay? Yeah,

735
00:42:20,800 --> 00:42:24,000
Speaker 1: that's all I mean, this is very quick. Look. Steve Manuchin,

736
00:42:24,040 --> 00:42:27,000
Speaker 1: who is the Secretary of Treasury, you know, uh, he's

737
00:42:27,040 --> 00:42:29,480
Speaker 1: in charge of making sure things right with the money.

738
00:42:29,520 --> 00:42:31,239
Speaker 1: As you remember that one photo of him and his

739
00:42:31,320 --> 00:42:33,640
Speaker 1: wife that looked like they look like Disney villains holding

740
00:42:33,719 --> 00:42:36,719
Speaker 1: up that sheet of dollar bills, the black leather like

741
00:42:36,840 --> 00:42:40,640
Speaker 1: leather arm sleeve gloves on. Anyway, checking It's like, we

742
00:42:40,760 --> 00:42:44,040
Speaker 1: have to prevent these villainous images from getting out. It's

743
00:42:44,080 --> 00:42:46,320
Speaker 1: crazy that so many villain is i mean put in

744
00:42:46,440 --> 00:42:49,840
Speaker 1: post orb picture culture. How are all these villainous pictures

745
00:42:49,840 --> 00:42:52,160
Speaker 1: still getting I mean I think orb was not even

746
00:42:52,200 --> 00:42:55,080
Speaker 1: the beginning of peak. Yeah, like villain photo that's just

747
00:42:55,120 --> 00:42:57,120
Speaker 1: the beginning. Yeah, this is I mean, we are at

748
00:42:57,200 --> 00:43:01,680
Speaker 1: the height of villain culture. Remember I went into Saudi Arabia.

749
00:43:01,960 --> 00:43:11,840
Speaker 1: Oh no, calm so look Obama had planned on unveiling

750
00:43:11,880 --> 00:43:15,279
Speaker 1: a new twenty uh Like his hope was that in

751
00:43:16,120 --> 00:43:18,480
Speaker 1: these twenty dollar bills would begin circulating, you know, and

752
00:43:18,680 --> 00:43:20,640
Speaker 1: and very important bill because the twenty is the most

753
00:43:20,719 --> 00:43:24,520
Speaker 1: used bill. And currently the man on that one is

754
00:43:24,880 --> 00:43:28,640
Speaker 1: psychopath Andrew Jackson. Where yeah, Mr trail Of tears himself,

755
00:43:29,200 --> 00:43:31,359
Speaker 1: Mr I'll shoot you because he says, I'm a boy

756
00:43:31,400 --> 00:43:33,880
Speaker 1: my wife, how should you in your face? Look up?

757
00:43:34,400 --> 00:43:37,080
Speaker 1: There's plenty about Andrew Jackson, and there are many moments

758
00:43:37,160 --> 00:43:40,120
Speaker 1: too where Trump it's seemingly it seemed like he was

759
00:43:40,200 --> 00:43:43,160
Speaker 1: intentionally doing things in front of his portrait. Like I remember,

760
00:43:43,239 --> 00:43:46,440
Speaker 1: I think he was giving an award to some Native

761
00:43:46,440 --> 00:43:49,560
Speaker 1: American soldiers or something, and he did it like with

762
00:43:49,760 --> 00:43:53,040
Speaker 1: Andrew Jackson, like the portrait behind him, and I was like, oh,

763
00:43:53,360 --> 00:43:59,320
Speaker 1: whoa book, Okay, whatever, it's Trump. Um. So recently we

764
00:43:59,440 --> 00:44:03,080
Speaker 1: found out that the Treasury is not really feeling this

765
00:44:03,480 --> 00:44:06,520
Speaker 1: very very important woman of color to replace this white

766
00:44:06,560 --> 00:44:10,040
Speaker 1: man on the country's most popular, widely used bill. And

767
00:44:10,239 --> 00:44:13,920
Speaker 1: so recently he was summoned Mr Manut into the hill

768
00:44:14,080 --> 00:44:18,520
Speaker 1: where Aana Pressley from the Commonwealth of Massachusetts had basically

769
00:44:18,600 --> 00:44:20,359
Speaker 1: was pressing him about this because like, what the fun

770
00:44:20,520 --> 00:44:23,279
Speaker 1: is going on? Sir? Uh? And this just listen to

771
00:44:23,320 --> 00:44:25,920
Speaker 1: this exchange where he's basically, I mean, it seems like

772
00:44:26,040 --> 00:44:29,680
Speaker 1: it's very clear why the Trump administration isn't interested in

773
00:44:29,760 --> 00:44:32,600
Speaker 1: putting this very significant woman of color on the most

774
00:44:32,640 --> 00:44:34,880
Speaker 1: popular bill. Please go on roll the tape. Well, let

775
00:44:34,920 --> 00:44:36,800
Speaker 1: me just you know, say this, um. The occupant of

776
00:44:36,840 --> 00:44:39,680
Speaker 1: the White House, Donald Trump, said that the move to

777
00:44:39,719 --> 00:44:43,319
Speaker 1: put Harriet Tubman on the twenty dollar bill was pure

778
00:44:43,400 --> 00:44:46,600
Speaker 1: political correctness, and he in fact suggested putting her on

779
00:44:46,680 --> 00:44:49,680
Speaker 1: a two dollar bill. Um, So do you agree that

780
00:44:49,760 --> 00:44:52,360
Speaker 1: nearly a year of collecting response from across the country

781
00:44:52,440 --> 00:44:56,520
Speaker 1: can simply be reduced to political correctness? I think that

782
00:44:56,800 --> 00:45:00,440
Speaker 1: right now I am focused on the security features of

783
00:45:00,560 --> 00:45:02,960
Speaker 1: the U S currency, which is the reserve currency, I

784
00:45:03,080 --> 00:45:04,680
Speaker 1: mean my time. So does that mean you have no

785
00:45:04,800 --> 00:45:08,960
Speaker 1: intention of executing the redesign as planned by your predecessor? Well,

786
00:45:09,000 --> 00:45:11,120
Speaker 1: that is that is correct. I have not made a

787
00:45:11,160 --> 00:45:15,480
Speaker 1: decision to execute on a redesign, or haven't made a decision.

788
00:45:16,920 --> 00:45:20,640
Speaker 1: I haven't made, That is correct. I haven't made a

789
00:45:20,719 --> 00:45:26,080
Speaker 1: decision or haven't made a decision. So to share you

790
00:45:26,239 --> 00:45:29,320
Speaker 1: back to me into corner. But yeah, I mean again,

791
00:45:29,400 --> 00:45:33,440
Speaker 1: when you hear all this basically raising counterfeiting issues as

792
00:45:33,480 --> 00:45:36,279
Speaker 1: concerns as to why this isn't happening because the other

793
00:45:36,360 --> 00:45:38,279
Speaker 1: bills are ready to go out in circulation with these

794
00:45:38,360 --> 00:45:41,840
Speaker 1: counterfeiting measures in place, or whatever those concerns addressed. So

795
00:45:42,000 --> 00:45:44,800
Speaker 1: I think he just doesn't want to hurt people's feelings.

796
00:45:45,120 --> 00:45:48,759
Speaker 1: It's just like, yeah, I mean, just like the laziest

797
00:45:49,920 --> 00:45:52,640
Speaker 1: most like why die on this hill? Like even even

798
00:45:52,680 --> 00:45:55,320
Speaker 1: if this goes through, it's like an amazing thing, but

799
00:45:55,480 --> 00:45:57,560
Speaker 1: it's still you know, in the big picture kind of

800
00:45:58,040 --> 00:46:01,560
Speaker 1: you know, a more a gesture than actually solving any

801
00:46:02,160 --> 00:46:04,920
Speaker 1: It's like, and that's why she even said, She's like,

802
00:46:05,000 --> 00:46:07,840
Speaker 1: this is you believe that the United States should be

803
00:46:07,960 --> 00:46:10,600
Speaker 1: more representative of the people who have made contributions to

804
00:46:10,680 --> 00:46:12,160
Speaker 1: this country. And you're like yeah, And he's like, well,

805
00:46:12,200 --> 00:46:14,640
Speaker 1: then why not this person who's a very significant figure

806
00:46:14,880 --> 00:46:19,520
Speaker 1: in American history? And he was like, well, not decided

807
00:46:19,600 --> 00:46:24,000
Speaker 1: on that. And I also have not decided, Okay, I mean,

808
00:46:24,080 --> 00:46:28,200
Speaker 1: what about the legacy of psychopathic murderers like Andrew Jackson?

809
00:46:29,520 --> 00:46:31,920
Speaker 1: I mean, and then also the idea when I mean

810
00:46:31,960 --> 00:46:34,120
Speaker 1: Trump obviously made it clear when he said it was

811
00:46:34,160 --> 00:46:36,880
Speaker 1: just about political correctness to put her on the thing,

812
00:46:37,320 --> 00:46:38,680
Speaker 1: to put on the twenty dollar bill, and then to

813
00:46:38,880 --> 00:46:41,680
Speaker 1: suggest the two dollar bill the most obscure one, I

814
00:46:41,719 --> 00:46:45,279
Speaker 1: mean fitting because he's a racist, woman hating occupant of

815
00:46:45,320 --> 00:46:49,960
Speaker 1: the White House. So it is I love Anna Presley

816
00:46:50,040 --> 00:46:54,719
Speaker 1: so much. Massachusetts is not all bad, but there it's

817
00:46:54,719 --> 00:46:57,000
Speaker 1: it's like, I feel it's like, have we been hearing

818
00:46:57,040 --> 00:46:59,600
Speaker 1: about Harriet Tubman being on the twenty dollar bill for

819
00:46:59,719 --> 00:47:02,279
Speaker 1: like many years? I feel like I've been hearing that

820
00:47:02,440 --> 00:47:04,879
Speaker 1: since I was in like junior high, and it still

821
00:47:04,960 --> 00:47:08,480
Speaker 1: hasn't happened. The only thing that is on track is

822
00:47:08,600 --> 00:47:10,160
Speaker 1: that they do know if they want to do it,

823
00:47:10,239 --> 00:47:12,920
Speaker 1: it can happen. Once this administration is out of the

824
00:47:13,000 --> 00:47:15,560
Speaker 1: White House, then sure. But as long as they're they're

825
00:47:16,120 --> 00:47:18,800
Speaker 1: they're not really interested. I mean, his he ran on

826
00:47:18,880 --> 00:47:23,239
Speaker 1: a platform and has successfully delivered on a platform of

827
00:47:23,800 --> 00:47:29,440
Speaker 1: you know, delivering liberal outrage like that's exactly he wants like,

828
00:47:29,920 --> 00:47:34,200
Speaker 1: and his base wants him to just whatever he can

829
00:47:34,239 --> 00:47:37,160
Speaker 1: do to trigger lip right. It's like, are y'all, are

830
00:47:37,239 --> 00:47:40,520
Speaker 1: y'all dying of thirst for lib tears? Because I'm the

831
00:47:40,600 --> 00:47:43,279
Speaker 1: gatorade of this ship and get ready, and you know,

832
00:47:43,680 --> 00:47:46,920
Speaker 1: everything again has everything has been whatever Obama did just

833
00:47:47,080 --> 00:47:49,880
Speaker 1: reverse that ship, which brings me just very quickly to

834
00:47:49,960 --> 00:47:54,239
Speaker 1: this next thing about Fox Science forever, because you know,

835
00:47:54,360 --> 00:47:57,000
Speaker 1: the most recent move, I mean, obviously, look, the Trump

836
00:47:57,040 --> 00:48:00,000
Speaker 1: administration has done everything to just ramp up carbon emissions,

837
00:48:00,080 --> 00:48:02,759
Speaker 1: pull us out of the Paris Agreement, every single thing

838
00:48:02,840 --> 00:48:06,120
Speaker 1: that can be done that's just about like d legislating

839
00:48:06,280 --> 00:48:09,760
Speaker 1: or just breaking promises or pulling back regulations. He's pretty

840
00:48:09,840 --> 00:48:12,319
Speaker 1: much done. When it comes to looking at the Earth. Um.

841
00:48:12,640 --> 00:48:15,440
Speaker 1: And also we've talked about how this administration as a

842
00:48:15,560 --> 00:48:20,440
Speaker 1: real fun habit of chasing experts out of certain departments,

843
00:48:20,640 --> 00:48:24,680
Speaker 1: especially people who do analysis on certain bills, like economists.

844
00:48:24,680 --> 00:48:26,360
Speaker 1: They're like, WHOA, well, don't don't tell us about how

845
00:48:26,360 --> 00:48:28,160
Speaker 1: the tariffs are going to mess up the economy. Get

846
00:48:28,200 --> 00:48:30,799
Speaker 1: the funk out of here. We want fake math. Uh.

847
00:48:30,880 --> 00:48:34,759
Speaker 1: And with climate science, it's no different because now, I mean,

848
00:48:34,880 --> 00:48:36,839
Speaker 1: this is one of the wildest things they're doing now.

849
00:48:37,200 --> 00:48:39,239
Speaker 1: So this is from the New York Times. Because of

850
00:48:39,320 --> 00:48:42,920
Speaker 1: this new like rollback of trying to handcuff people who

851
00:48:42,960 --> 00:48:45,640
Speaker 1: are studying climate change, there are parts of the federal

852
00:48:45,680 --> 00:48:48,680
Speaker 1: government who are no longer fulfilling what scientists call one

853
00:48:48,719 --> 00:48:51,279
Speaker 1: of the most urgent jobs of climate science studies, which

854
00:48:51,400 --> 00:48:54,560
Speaker 1: is reporting on the future effect of a rapidly warming

855
00:48:54,680 --> 00:48:57,040
Speaker 1: planet and presenting a picture of what the Earth could

856
00:48:57,080 --> 00:48:58,759
Speaker 1: look like by the end of the century if the

857
00:48:58,800 --> 00:49:03,000
Speaker 1: global economy continues to admit heat trapping carbon dioxide pollution

858
00:49:03,040 --> 00:49:05,719
Speaker 1: from burning fossil fuels. So it's basically saying we're no

859
00:49:05,880 --> 00:49:10,239
Speaker 1: longer interested in you brainiacts having the audacity to use

860
00:49:10,440 --> 00:49:14,359
Speaker 1: science to try and analyze what this future might look

861
00:49:14,440 --> 00:49:16,520
Speaker 1: like because you don't need it because it's going to

862
00:49:16,600 --> 00:49:19,160
Speaker 1: scare people. And then I can't lie about you know,

863
00:49:19,560 --> 00:49:25,360
Speaker 1: cool good. But he gets better because the actual maniac

864
00:49:25,560 --> 00:49:28,680
Speaker 1: that Trump has put in charge of this anti science crusade,

865
00:49:29,000 --> 00:49:32,400
Speaker 1: his name is Bill longscrot and he's a physicist with

866
00:49:32,480 --> 00:49:35,160
Speaker 1: an opinion. Okay, I'm joking. His name is by Bill Longshrowd.

867
00:49:35,200 --> 00:49:36,880
Speaker 1: I thought I could sneak that by you because his

868
00:49:36,960 --> 00:49:39,800
Speaker 1: name sound. His name is Bill Happer Um, and he

869
00:49:39,960 --> 00:49:44,800
Speaker 1: has opinion on these carbon haters. I just literally strapped

870
00:49:44,920 --> 00:49:47,600
Speaker 1: your seatbelts on a listen to the energy this man

871
00:49:47,719 --> 00:49:50,719
Speaker 1: brings to the climate debate. Professor, I have I have

872
00:49:50,800 --> 00:49:53,120
Speaker 1: some issues with all of this, obviously, because you don't

873
00:49:53,120 --> 00:49:56,359
Speaker 1: believe in climate change at all. You made a cop

874
00:49:56,440 --> 00:50:00,560
Speaker 1: just a minute, just justh some man climate change out up, Sir.

875
00:50:00,920 --> 00:50:03,279
Speaker 1: I'm opening. I'm open to all ideas. You made a

876
00:50:03,320 --> 00:50:05,920
Speaker 1: comment back in two thousand nine comparing climate change to

877
00:50:06,000 --> 00:50:09,400
Speaker 1: the Holocaust, Um, And my question is are you suggesting

878
00:50:09,600 --> 00:50:13,719
Speaker 1: when you made that comment that climatologists and climate scientists

879
00:50:14,080 --> 00:50:16,360
Speaker 1: are the equivalent of Hitler and Nazis? I mean, that's

880
00:50:16,400 --> 00:50:19,279
Speaker 1: what it seems like you were trying to say, you know,

881
00:50:19,480 --> 00:50:22,640
Speaker 1: you know, I get called a denier and all anyone

882
00:50:22,760 --> 00:50:26,560
Speaker 1: who objects to all of the height gets called a denier.

883
00:50:26,680 --> 00:50:30,000
Speaker 1: That's supposed to make me a Holocaust denier. You know,

884
00:50:30,040 --> 00:50:33,719
Speaker 1: I'm getting tired of that. And the comment I made

885
00:50:33,920 --> 00:50:38,040
Speaker 1: was the demonization of carbon dioxide is just like the

886
00:50:38,120 --> 00:50:42,759
Speaker 1: demonization of the poor Jews under Hitler. Carbon dioxide is

887
00:50:42,840 --> 00:50:46,480
Speaker 1: actually a benefit to the world, and so were the Jews.

888
00:50:48,120 --> 00:50:52,760
Speaker 1: Notice I said carbon dioxide is Jews were Oh interesting,

889
00:50:52,760 --> 00:50:55,719
Speaker 1: I think you betrayed yourself in your world, you said.

890
00:50:55,880 --> 00:51:01,279
Speaker 1: I mean, okay, so that's we're using the anti semitism

891
00:51:01,640 --> 00:51:05,520
Speaker 1: shield now to like obscure the climate debate. Yeah, but

892
00:51:05,600 --> 00:51:07,799
Speaker 1: I mean the rate has been using the anti semitism

893
00:51:08,840 --> 00:51:12,680
Speaker 1: because that's their strategy, being anti Semitic, but then accused

894
00:51:12,760 --> 00:51:16,080
Speaker 1: the other people of being anti Semitic. That's it hasn't

895
00:51:16,160 --> 00:51:18,120
Speaker 1: failed for them yet. Yeah. Well, and I mean now

896
00:51:18,200 --> 00:51:20,440
Speaker 1: that you have that, I mean that that video came

897
00:51:20,520 --> 00:51:22,680
Speaker 1: from five years ago when he said that, and he

898
00:51:23,200 --> 00:51:28,040
Speaker 1: already looked like a decrepit monkey skeleton already. Then I

899
00:51:32,600 --> 00:51:36,360
Speaker 1: really started doing a skincare routine. Yeah, the skin is

900
00:51:36,400 --> 00:51:39,040
Speaker 1: hanging off his bones. But the skin looks amazing, but

901
00:51:39,160 --> 00:51:43,800
Speaker 1: the bone structure underneath it's it is always interesting of

902
00:51:43,920 --> 00:51:46,600
Speaker 1: just like what is the new false equivalence that's going

903
00:51:46,680 --> 00:51:51,120
Speaker 1: to be introduced today? And like how like diluted and insane?

904
00:51:51,160 --> 00:51:53,480
Speaker 1: Will it get? Yeah? So that man serves on the

905
00:51:53,600 --> 00:51:59,000
Speaker 1: National Security Council as the President's Deputy Assistant for Emerging Technologies.

906
00:51:59,120 --> 00:52:02,719
Speaker 1: Well was he doing a about tic TAC? And he

907
00:52:02,880 --> 00:52:09,000
Speaker 1: is the scientific degree who also happens to work for

908
00:52:09,480 --> 00:52:13,000
Speaker 1: a He doesn't work directly for the oil industry, but

909
00:52:13,160 --> 00:52:15,759
Speaker 1: his foundation chair does. Oh yeah, And that clip later

910
00:52:15,840 --> 00:52:18,200
Speaker 1: goes on it's like, I've never taken a cent from EXN.

911
00:52:18,280 --> 00:52:20,759
Speaker 1: It's like, but your foundation gets grants from them. He's like,

912
00:52:20,840 --> 00:52:24,800
Speaker 1: I am the chair of a thing, very proud. Alright,

913
00:52:24,840 --> 00:52:26,719
Speaker 1: we're gonna take a quick break. We'll be right back.

914
00:52:37,000 --> 00:52:41,640
Speaker 1: And we're back, and Miles, what's going on with this

915
00:52:41,800 --> 00:52:48,160
Speaker 1: whole hotel bed jumping is what? I'm just excited? Okay,

916
00:52:48,560 --> 00:52:50,400
Speaker 1: want me to wait, I'll wait. No, no, no, no,

917
00:52:50,680 --> 00:52:52,920
Speaker 1: Are we ready to proceed? Yeah? I well, look I

918
00:52:53,000 --> 00:52:55,320
Speaker 1: don't I didn't get into this. I was just reading

919
00:52:55,640 --> 00:53:00,160
Speaker 1: the dude who made that documentary tickled David Farrier. Farrier, Um,

920
00:53:00,440 --> 00:53:03,840
Speaker 1: he published like this little article and it was about

921
00:53:03,920 --> 00:53:06,040
Speaker 1: what he's been looking at recently. So okay, if you

922
00:53:06,040 --> 00:53:09,920
Speaker 1: don't know the documentary tickled, whoa, there's a lot going

923
00:53:09,960 --> 00:53:13,160
Speaker 1: on David Farret. First of all, David far I think

924
00:53:13,200 --> 00:53:16,120
Speaker 1: it's I think it's very interesting and funny that he

925
00:53:16,239 --> 00:53:18,880
Speaker 1: has chosen this direction, kind of like a Morgan Spurlock

926
00:53:19,000 --> 00:53:21,560
Speaker 1: of like the first thing that worked for him. He's

927
00:53:21,600 --> 00:53:24,040
Speaker 1: just like, all right, this is me now, okay, my

928
00:53:24,200 --> 00:53:26,839
Speaker 1: food thing worked. Now I'm the food man. He's like, oh,

929
00:53:27,000 --> 00:53:30,560
Speaker 1: the weird fetish conspiracy words, let's go with that. So

930
00:53:30,719 --> 00:53:33,680
Speaker 1: his newest thing, uh is the articles is called the

931
00:53:33,760 --> 00:53:38,720
Speaker 1: mysterious Instagram influencers offering cash for hotel bed jumping videos.

932
00:53:39,120 --> 00:53:42,799
Speaker 1: Now okay, sure, I mean everyone's seeing people jump up

933
00:53:42,840 --> 00:53:44,520
Speaker 1: and down on beds. We do with his children. It's

934
00:53:44,600 --> 00:53:48,480
Speaker 1: a great pastime. Yes, But he came across an accounted

935
00:53:48,520 --> 00:53:54,040
Speaker 1: American and uh anyway, uh so he came across an

936
00:53:54,040 --> 00:53:56,840
Speaker 1: Instagram account called Hotel bed Jumping Community and as like

937
00:53:56,880 --> 00:54:00,360
Speaker 1: over twenty six thousand followers um and a bunch of hosts.

938
00:54:00,480 --> 00:54:02,719
Speaker 1: Where at first it's like Okay, like this is interesting.

939
00:54:02,760 --> 00:54:04,600
Speaker 1: I've never heard of it. They're all using this hashtag

940
00:54:04,760 --> 00:54:07,480
Speaker 1: and but the sort of mix of photos was very

941
00:54:08,560 --> 00:54:10,520
Speaker 1: just odd to him. It's like a mix of like

942
00:54:10,719 --> 00:54:15,560
Speaker 1: stock photos people jumping on beds, stock photos of hotel rooms.

943
00:54:15,840 --> 00:54:19,360
Speaker 1: Also that's like next to stock photos of like kids

944
00:54:19,440 --> 00:54:22,640
Speaker 1: like starving on the ground or like just like very

945
00:54:23,080 --> 00:54:26,719
Speaker 1: like kids in dire situations like destitute. And so he's

946
00:54:26,760 --> 00:54:28,120
Speaker 1: kind of like, what the fund is this? And there's

947
00:54:28,120 --> 00:54:31,360
Speaker 1: also like offering, quote, we have been providing free hotel

948
00:54:31,440 --> 00:54:33,960
Speaker 1: rooms to followers to capture content to put towards the

949
00:54:34,080 --> 00:54:38,000
Speaker 1: hashtag Jump for Kids campaign. Now, the Jump for Kids

950
00:54:38,080 --> 00:54:41,719
Speaker 1: campaign hashtag is legit and it was set up by

951
00:54:41,880 --> 00:54:45,080
Speaker 1: a company called Puffy Beds. And look they were they

952
00:54:45,120 --> 00:54:48,160
Speaker 1: were on Ellen, so we know they're looking and that's

953
00:54:48,239 --> 00:54:50,560
Speaker 1: their whole thing was like for every ten people who

954
00:54:50,680 --> 00:54:52,600
Speaker 1: use this hashtag, will donate one of our beds to

955
00:54:52,640 --> 00:54:55,080
Speaker 1: a shelter. And that all seemed on the up and up,

956
00:54:55,400 --> 00:54:58,439
Speaker 1: and then this ferrier he tried to he started digging

957
00:54:58,480 --> 00:55:00,560
Speaker 1: a little bit. So first he asked to them, He's like, oh,

958
00:55:00,600 --> 00:55:02,200
Speaker 1: so he wrote with Puffy Beds are like yeah. Then

959
00:55:02,280 --> 00:55:04,400
Speaker 1: he asked Puffy Beds. He's like, Hi, do you know

960
00:55:04,440 --> 00:55:06,400
Speaker 1: about this Instagram account? They say they work with you, Like,

961
00:55:06,520 --> 00:55:08,600
Speaker 1: we have no idea what you're talking about. We don't

962
00:55:08,600 --> 00:55:10,600
Speaker 1: work with them, and he's like okay. Then he also

963
00:55:10,680 --> 00:55:13,960
Speaker 1: saw they were like giveaways where like a hotel in Auckland,

964
00:55:14,000 --> 00:55:16,239
Speaker 1: New Zealand, was like, you know, get two free nights

965
00:55:16,280 --> 00:55:18,479
Speaker 1: for like your best submission for the jump for kids,

966
00:55:18,680 --> 00:55:21,399
Speaker 1: like whatever is going to get a free night here?

967
00:55:21,480 --> 00:55:24,320
Speaker 1: The product baby exactly Well, he asked the hotel and

968
00:55:24,360 --> 00:55:26,960
Speaker 1: they said no. The person from that organization said they

969
00:55:26,960 --> 00:55:28,560
Speaker 1: were a charity and they just asked if we would

970
00:55:28,560 --> 00:55:30,719
Speaker 1: be willing to gift to vouchers. Other than that, we

971
00:55:30,840 --> 00:55:32,800
Speaker 1: have no idea how they're using it or how it worked.

972
00:55:33,200 --> 00:55:35,440
Speaker 1: So it just got murky. Then he was trying to

973
00:55:35,719 --> 00:55:38,839
Speaker 1: interview or ask like the people who run the page

974
00:55:38,880 --> 00:55:40,960
Speaker 1: to the d m s, like what's going on. They

975
00:55:41,040 --> 00:55:44,360
Speaker 1: just get very vague answers or like we're currently not

976
00:55:44,520 --> 00:55:47,120
Speaker 1: trying to engage with any media engagement at the moment,

977
00:55:47,239 --> 00:55:50,479
Speaker 1: and it's like engage with okay, um, like but saying

978
00:55:50,840 --> 00:55:53,360
Speaker 1: it's just about spreading awareness. Nothing bad is going on,

979
00:55:53,600 --> 00:55:55,560
Speaker 1: and so then he went to some of the influencers

980
00:55:55,640 --> 00:55:57,960
Speaker 1: that appeared on the page and said what happened here?

981
00:55:58,000 --> 00:55:59,799
Speaker 1: Like how did you get involved with them? And they said, well,

982
00:56:00,080 --> 00:56:02,920
Speaker 1: they were found and got an email and the email

983
00:56:02,960 --> 00:56:05,239
Speaker 1: read like this. It's just basically there was some other

984
00:56:05,400 --> 00:56:08,440
Speaker 1: ramp ramble, pre wrap boiler plate language at the top,

985
00:56:08,480 --> 00:56:10,680
Speaker 1: and then got to ask, which is quote. What we're

986
00:56:10,719 --> 00:56:12,600
Speaker 1: looking for is around ten to fifteen minutes of bed

987
00:56:12,680 --> 00:56:14,680
Speaker 1: jumping footage to help us with our YouTube channel and

988
00:56:14,760 --> 00:56:16,600
Speaker 1: it's launched. It doesn't have to be one big video.

989
00:56:16,600 --> 00:56:18,320
Speaker 1: It can be broken down into one to two minute

990
00:56:18,400 --> 00:56:20,720
Speaker 1: videos and ten times of those if this is easier,

991
00:56:20,960 --> 00:56:23,040
Speaker 1: or perhaps just leave the camera running for thirty minutes

992
00:56:23,239 --> 00:56:25,520
Speaker 1: for the footage. We also request a few different outfits

993
00:56:25,560 --> 00:56:27,480
Speaker 1: e g. Jim gear with shoes on, or just some

994
00:56:27,600 --> 00:56:31,480
Speaker 1: casual outfits shirts, jeans, cocktail dress, wherever you feel comfortable

995
00:56:31,520 --> 00:56:33,840
Speaker 1: in the camera angle. We need the whole bed slash

996
00:56:33,880 --> 00:56:36,759
Speaker 1: bed based fully visible along with the person jumping. We

997
00:56:36,840 --> 00:56:39,279
Speaker 1: also ask there is little to no background music, but

998
00:56:39,360 --> 00:56:42,160
Speaker 1: the footage must contain sound and be unedited. Besides that,

999
00:56:42,239 --> 00:56:44,200
Speaker 1: you're free to jump up and down, belly flop, flip,

1000
00:56:44,239 --> 00:56:46,520
Speaker 1: and seat drop as much as you like. As mentioned,

1001
00:56:46,680 --> 00:56:50,200
Speaker 1: feel free to get girlfriends slash colleagues involved. Okay, first

1002
00:56:50,239 --> 00:56:53,239
Speaker 1: of all, never get girlfriends slash colleagues involved, regardless of

1003
00:56:53,400 --> 00:56:55,440
Speaker 1: what it is. If it's a wine and pain night,

1004
00:56:55,480 --> 00:57:01,520
Speaker 1: don't get girlfriends, like never win. The The outfit recommendations

1005
00:57:01,560 --> 00:57:08,520
Speaker 1: are very weird, like cocktail dressing, cocktail dresses, like black cocktails.

1006
00:57:08,880 --> 00:57:13,040
Speaker 1: We just love to, you know, drink off to some

1007
00:57:13,120 --> 00:57:15,919
Speaker 1: of someone in the cocktail dress. Right, it does sound

1008
00:57:15,960 --> 00:57:18,320
Speaker 1: a lot like the language in the Tickled movie. It's

1009
00:57:18,320 --> 00:57:20,960
Speaker 1: just like kind of like stilted on. And that's why

1010
00:57:21,040 --> 00:57:23,200
Speaker 1: he was Then he's like, okay, there might be something here.

1011
00:57:23,320 --> 00:57:25,720
Speaker 1: As of right now, he said, there doesn't seem to

1012
00:57:25,760 --> 00:57:28,120
Speaker 1: be anything illegal going on aside from them maybe sort

1013
00:57:28,160 --> 00:57:32,200
Speaker 1: of like exaggerating relationships to certain companies and the people involved.

1014
00:57:32,240 --> 00:57:34,080
Speaker 1: Like it's not like when he started digging on the

1015
00:57:34,160 --> 00:57:36,880
Speaker 1: Tickled thing, they were like people's lives getting ruined. He

1016
00:57:36,920 --> 00:57:40,920
Speaker 1: hasn't quite found that for the Jumping thing, but a

1017
00:57:41,000 --> 00:57:42,680
Speaker 1: lot of the influencers he spoke to, or at least

1018
00:57:42,680 --> 00:57:44,160
Speaker 1: one or two of them, were like, I think it's

1019
00:57:44,720 --> 00:57:47,080
Speaker 1: it's like just sort of kink. That's a kink page

1020
00:57:47,120 --> 00:57:50,760
Speaker 1: disguise as a charity. Miles, think about the people in

1021
00:57:50,920 --> 00:57:54,720
Speaker 1: the hotel room below those people, Okay, there's your lives

1022
00:57:54,800 --> 00:57:57,640
Speaker 1: getting ruined. I mean that would be seed drops in

1023
00:57:57,680 --> 00:58:00,280
Speaker 1: a cocktail dress while you're trying to eat your break fist,

1024
00:58:00,960 --> 00:58:04,000
Speaker 1: come on, or your your two am French onion soup.

1025
00:58:04,720 --> 00:58:10,760
Speaker 1: Oh that sounds pulled from favorite. Yes, it's always bad. Yeah,

1026
00:58:10,840 --> 00:58:13,200
Speaker 1: So I don't know. I mean, he's like, Yeng, I

1027
00:58:13,240 --> 00:58:14,520
Speaker 1: don't know, if you know, is this like a new

1028
00:58:14,600 --> 00:58:16,440
Speaker 1: thing and are we just sort of realizing that this

1029
00:58:16,600 --> 00:58:19,520
Speaker 1: is another way to sort of like aggregate a bunch

1030
00:58:19,560 --> 00:58:22,919
Speaker 1: of like very specific like kink content. Are you guys

1031
00:58:22,920 --> 00:58:25,200
Speaker 1: out there doing this? If so, you know, we're in

1032
00:58:25,280 --> 00:58:27,360
Speaker 1: full support. Because another thing is they were offering people

1033
00:58:27,520 --> 00:58:30,640
Speaker 1: a hundred twenty Australian dollars for like every two minute

1034
00:58:30,680 --> 00:58:33,480
Speaker 1: clip nice And then when he asked, he said, are

1035
00:58:33,520 --> 00:58:35,360
Speaker 1: you offering people money? Because I have a screenshot of

1036
00:58:35,440 --> 00:58:37,240
Speaker 1: you offering me Like, no, we would never do such things.

1037
00:58:37,280 --> 00:58:39,360
Speaker 1: That's like weird. It's like they're not being upfront about it,

1038
00:58:39,440 --> 00:58:41,280
Speaker 1: but they're clearly giving these people money. You know what,

1039
00:58:41,440 --> 00:58:44,439
Speaker 1: this is the gig economy. We do what we must do. Yeah, look,

1040
00:58:44,480 --> 00:58:46,640
Speaker 1: I no shame, you know, I'm just curious. I just

1041
00:58:47,080 --> 00:58:48,920
Speaker 1: you know, I want to know. I'm trying to get

1042
00:58:48,960 --> 00:58:52,200
Speaker 1: my Wiki feet score back up. So if anyone needs anything,

1043
00:58:52,480 --> 00:58:54,720
Speaker 1: well we should do a glamour foot shot. Yeah that's true,

1044
00:58:54,880 --> 00:58:57,400
Speaker 1: that's true. Go to J C. Penny. J Penny get

1045
00:58:57,440 --> 00:59:00,640
Speaker 1: done for fifty bucks. With Prince, we worked on an

1046
00:59:00,720 --> 00:59:03,440
Speaker 1: article at one point. I don't know if it ever

1047
00:59:03,640 --> 00:59:05,680
Speaker 1: ended up publishing, but it was with a guy who

1048
00:59:06,240 --> 00:59:10,800
Speaker 1: ended up becoming a pornographer off of finding out that

1049
00:59:11,200 --> 00:59:16,080
Speaker 1: people would pay for just videos of women playing poker

1050
00:59:16,120 --> 00:59:19,920
Speaker 1: against each other in like certain clothing, and like there

1051
00:59:20,000 --> 00:59:23,560
Speaker 1: was just this huge like influx of attention for those videos,

1052
00:59:23,760 --> 00:59:26,120
Speaker 1: and so he like made it a cottage industry of

1053
00:59:26,200 --> 00:59:29,680
Speaker 1: like himself shooting these videos of what were they? I

1054
00:59:30,160 --> 00:59:33,160
Speaker 1: forget It wasn't like strange clothing, right now, I think, well,

1055
00:59:33,200 --> 00:59:35,280
Speaker 1: I think there was, like strip poker was the thing.

1056
00:59:35,400 --> 00:59:39,320
Speaker 1: But it was like a very specific fetish that he

1057
00:59:39,480 --> 00:59:42,280
Speaker 1: was able to like drive his livelihood off of. So

1058
00:59:42,360 --> 00:59:45,560
Speaker 1: I just wonder if that's more common than we think,

1059
00:59:45,680 --> 00:59:49,960
Speaker 1: that people who have a lot of money basically invest

1060
00:59:50,160 --> 00:59:54,919
Speaker 1: that money into their very specific fetish or yeah, yeah,

1061
00:59:55,160 --> 00:59:57,480
Speaker 1: I mean if you will invest in their fetish Yeah,

1062
00:59:57,720 --> 01:00:00,120
Speaker 1: if you were wealthy and you had the resources to it,

1063
01:00:00,200 --> 01:00:02,200
Speaker 1: you'd be like, yeah, I'll make an Instagram account like

1064
01:00:02,480 --> 01:00:07,120
Speaker 1: it's great, great, Ye, make sure the shoes are on,

1065
01:00:07,200 --> 01:00:08,920
Speaker 1: because I'd like to know that the maid is going

1066
01:00:08,960 --> 01:00:11,040
Speaker 1: to have a real hell of a time cleaning up

1067
01:00:11,080 --> 01:00:13,280
Speaker 1: the sheets. I hope. I hope this story has a

1068
01:00:13,360 --> 01:00:16,360
Speaker 1: happy ending. Yeah, I do too. How would that be

1069
01:00:18,080 --> 01:00:23,920
Speaker 1: well meaning perverts just jumping, just wanting a couple of

1070
01:00:23,960 --> 01:00:29,040
Speaker 1: monkeys when one starts compensating. You shouldn't pose as a charity.

1071
01:00:29,840 --> 01:00:31,520
Speaker 1: You should just be like it could be like you've

1072
01:00:31,560 --> 01:00:36,800
Speaker 1: got mail. Okay, So one well meaning fetishist, it like,

1073
01:00:37,640 --> 01:00:41,080
Speaker 1: intrudes on another's business and puts them out of business

1074
01:00:41,120 --> 01:00:44,480
Speaker 1: with their promising even bigger money for the fetish pictures.

1075
01:00:44,800 --> 01:00:48,480
Speaker 1: But then they are also like friends, just like happened

1076
01:00:48,480 --> 01:00:50,880
Speaker 1: to be friends with each other, and then they fall

1077
01:00:50,960 --> 01:00:55,400
Speaker 1: in love and it turns out they were the people. Well,

1078
01:00:55,440 --> 01:00:57,880
Speaker 1: that movie ends pretty lame because her business gets crushed.

1079
01:00:57,880 --> 01:00:59,720
Speaker 1: It's like, it's okay, I'm with this guy, so it's

1080
01:00:59,720 --> 01:01:04,400
Speaker 1: fine that I hope com about two people meeting in

1081
01:01:04,480 --> 01:01:08,520
Speaker 1: the fetish community. Does that movie exist yet? I think

1082
01:01:08,560 --> 01:01:11,400
Speaker 1: he just wrote you've got mail, Yeah, wiki fee, you've

1083
01:01:11,440 --> 01:01:15,400
Speaker 1: got mail. Basically there. I don't know. I mean, it's

1084
01:01:15,440 --> 01:01:18,360
Speaker 1: like just the one misstep here is like if you

1085
01:01:18,440 --> 01:01:21,120
Speaker 1: guys can't go crazy, however you can't say it's a

1086
01:01:21,200 --> 01:01:23,640
Speaker 1: charity and don't put like dead children or like and

1087
01:01:23,680 --> 01:01:27,880
Speaker 1: don't involve the child kids, we have to jump for them.

1088
01:01:28,800 --> 01:01:32,080
Speaker 1: Although my happy ending version is it's like these two

1089
01:01:32,160 --> 01:01:35,440
Speaker 1: brothers who just like they're they're in charge of like

1090
01:01:35,520 --> 01:01:37,440
Speaker 1: their father's a state who's very sickly, but he was

1091
01:01:37,480 --> 01:01:39,400
Speaker 1: an evil man and got his money in very fucked

1092
01:01:39,440 --> 01:01:41,920
Speaker 1: up ways, and he was like really shitty and abusive

1093
01:01:41,960 --> 01:01:43,760
Speaker 1: to them, and like whenever they would jump on the beds,

1094
01:01:43,800 --> 01:01:45,680
Speaker 1: he would get so upset for whatever reason. That would

1095
01:01:45,720 --> 01:01:48,680
Speaker 1: always inspire the rage out of their father. So what

1096
01:01:48,760 --> 01:01:51,160
Speaker 1: they've done now is put all this money into creating

1097
01:01:51,240 --> 01:01:54,360
Speaker 1: this movement of bed jumping and actually using his good

1098
01:01:54,440 --> 01:01:56,480
Speaker 1: money to pay people to create this content. And then

1099
01:01:56,520 --> 01:01:58,560
Speaker 1: they just show it to him because he's bedridden, and

1100
01:01:58,600 --> 01:02:00,880
Speaker 1: they just scroll through it like we gotta the one today, Dad,

1101
01:02:01,440 --> 01:02:03,360
Speaker 1: and he looks it's like, no, I don't like it.

1102
01:02:05,800 --> 01:02:07,520
Speaker 1: Maybe not. This is a weird elder of you Sangler

1103
01:02:07,600 --> 01:02:09,720
Speaker 1: for that one. So, I mean it's hard to see

1104
01:02:09,800 --> 01:02:11,960
Speaker 1: where is that happening. We're trying to circle in on

1105
01:02:12,040 --> 01:02:14,240
Speaker 1: the right angle on this story and we're geting. We're

1106
01:02:14,240 --> 01:02:18,959
Speaker 1: getting close back tomorrow to just workshop this idea further

1107
01:02:19,160 --> 01:02:23,000
Speaker 1: for an hour straight. Jamie, as always, it's been such

1108
01:02:23,000 --> 01:02:26,960
Speaker 1: a pleasure having you. Where can people find you? Follow you?

1109
01:02:27,600 --> 01:02:29,320
Speaker 1: You know you can find me on Twitter dot com

1110
01:02:29,680 --> 01:02:34,320
Speaker 1: at Jamie Loftus help Instagram with Jamie christ Superstar. If

1111
01:02:34,360 --> 01:02:36,280
Speaker 1: you live in New York, you can come see me

1112
01:02:36,400 --> 01:02:41,680
Speaker 1: on June doing my show I Lost my Virginity on

1113
01:02:41,720 --> 01:02:47,200
Speaker 1: August fifteen. Uh and then if you live in the UK,

1114
01:02:47,600 --> 01:02:51,680
Speaker 1: I'll be in the in at Edinburgh fringe Fest all

1115
01:02:51,720 --> 01:02:56,640
Speaker 1: of August doing my showy Yeah, go there all UK,

1116
01:02:57,280 --> 01:03:00,480
Speaker 1: please please show up, please come. Um, I don't know

1117
01:03:00,520 --> 01:03:05,920
Speaker 1: anyone there the show is anyone they will check. I

1118
01:03:05,960 --> 01:03:10,440
Speaker 1: know there's got to be urga l as like I'll

1119
01:03:10,480 --> 01:03:12,120
Speaker 1: shut them out because I did. I did this show

1120
01:03:12,200 --> 01:03:15,040
Speaker 1: two nights last week and Eli's Gang was out there

1121
01:03:15,440 --> 01:03:18,080
Speaker 1: yeah at Boston Miss Girl last week. So thanks Gang,

1122
01:03:19,120 --> 01:03:20,800
Speaker 1: thank you for doing shows. So Jack and I don't

1123
01:03:20,840 --> 01:03:24,000
Speaker 1: have to there. A tweet you've been enjoying, Oh, this

1124
01:03:24,200 --> 01:03:28,560
Speaker 1: is a fresh one from Matt Rogers is uh, I

1125
01:03:28,680 --> 01:03:31,880
Speaker 1: want two children, one of each is my way of

1126
01:03:31,960 --> 01:03:35,360
Speaker 1: saying I want one gay son and one breathtakingly gorgeous

1127
01:03:35,480 --> 01:03:41,680
Speaker 1: nightmare of a daughter the best. I literally loved it.

1128
01:03:41,800 --> 01:03:44,240
Speaker 1: I hearted that you give it a little hard g hard?

1129
01:03:45,400 --> 01:03:48,120
Speaker 1: You know, Miles where can people find? You? Find me

1130
01:03:48,440 --> 01:03:53,680
Speaker 1: and follow me on Twitter and Instagram at Miles of Gray.

1131
01:03:54,600 --> 01:03:59,200
Speaker 1: Tweet I like is from Mark normand at Mark Norm

1132
01:04:00,200 --> 01:04:03,040
Speaker 1: I found an aunt in my CBD drops. I was

1133
01:04:03,080 --> 01:04:05,080
Speaker 1: about to kill it, but now we're both listening to

1134
01:04:05,200 --> 01:04:12,400
Speaker 1: MPR CBD. Very chill man, very chill. Yeah yeah. Uh.

1135
01:04:12,600 --> 01:04:17,200
Speaker 1: Tweet I've been enjoying is from Jamie Loftus at Jamie

1136
01:04:17,280 --> 01:04:22,880
Speaker 1: Loftus help tweeted out some pictures from inside a Racing

1137
01:04:23,520 --> 01:04:27,520
Speaker 1: Wisconsin Chuck E Cheese. Uh. These are some like posters

1138
01:04:27,880 --> 01:04:32,960
Speaker 1: of Chuck E Cheese parody TV shows from the nineties

1139
01:04:33,080 --> 01:04:37,640
Speaker 1: that they just haven't refreshed them. They're so, I was so,

1140
01:04:38,440 --> 01:04:41,040
Speaker 1: I've been to so many Chucky Cheeses and this was

1141
01:04:41,320 --> 01:04:44,520
Speaker 1: this was news. This is like their original work of

1142
01:04:44,680 --> 01:04:49,240
Speaker 1: the racing Wisconsin Racing really stepped up the game in

1143
01:04:49,280 --> 01:04:52,400
Speaker 1: an incredible way. So one of the posters, probably the

1144
01:04:52,480 --> 01:04:57,880
Speaker 1: highlight in my opinion, is a Seinfeld parody where Chuck

1145
01:04:58,360 --> 01:05:01,680
Speaker 1: Chucky E Cheese himself is up on stage doing stand

1146
01:05:01,760 --> 01:05:05,520
Speaker 1: up and it says Chuck Feld uh, but then it

1147
01:05:05,640 --> 01:05:09,160
Speaker 1: has words next to his head that say, hey, what's

1148
01:05:09,240 --> 01:05:13,120
Speaker 1: up with that? Like, so this is a little taste

1149
01:05:13,160 --> 01:05:18,160
Speaker 1: of Chuck Feld. Chuck Feld. Um. Is that supposed to

1150
01:05:18,240 --> 01:05:21,440
Speaker 1: be George in the front row? Yeah, George Lynn and

1151
01:05:22,040 --> 01:05:25,400
Speaker 1: Kramer some real attention to detail given on it. Yeah,

1152
01:05:25,800 --> 01:05:28,320
Speaker 1: like they got her hair clip, Yeah, they got her

1153
01:05:28,400 --> 01:05:32,840
Speaker 1: hair clip, and they gave Kramer weird like buffont and

1154
01:05:33,480 --> 01:05:35,360
Speaker 1: he's also just holding up the white power symbol with

1155
01:05:35,440 --> 01:05:38,880
Speaker 1: his yeah yeah yeah, So that's how you know it's him. So, yeah,

1156
01:05:38,920 --> 01:05:42,200
Speaker 1: you got a little taste at Chick Felt. There's also

1157
01:05:42,680 --> 01:05:44,920
Speaker 1: like an X Files one, there's an e R one

1158
01:05:44,960 --> 01:05:47,320
Speaker 1: that's like e R r R, What what the fund

1159
01:05:47,400 --> 01:05:49,480
Speaker 1: is that supposed to? I don't know what the joke is.

1160
01:05:49,560 --> 01:05:52,280
Speaker 1: I know that I like that. I like that. So

1161
01:05:52,400 --> 01:05:54,200
Speaker 1: CHUCKI Chees is supposed to be George Clooney, And you

1162
01:05:54,280 --> 01:05:56,600
Speaker 1: can tell because his scrub say g C, which I

1163
01:05:56,640 --> 01:06:04,920
Speaker 1: think is supposed to mean George Chucky gees dr Cheese

1164
01:06:05,000 --> 01:06:07,800
Speaker 1: to er stat Yeah, I guess it's George Cheese es

1165
01:06:08,040 --> 01:06:11,600
Speaker 1: dr cheese. There you go, um because as we as

1166
01:06:11,680 --> 01:06:14,480
Speaker 1: we all know on e Er, George Clooney's name was

1167
01:06:14,520 --> 01:06:18,040
Speaker 1: George Clooney. Yeah, they they have. Let's get nailed it.

1168
01:06:19,160 --> 01:06:22,680
Speaker 1: But you replied to the Chuck Felled tweet and said,

1169
01:06:22,720 --> 01:06:25,760
Speaker 1: after no consideration, I've decided to make this into a cartoon,

1170
01:06:26,160 --> 01:06:29,000
Speaker 1: so Chuck E Cheese will finally notice me and hire

1171
01:06:29,120 --> 01:06:33,160
Speaker 1: me to write their videos. And Chuck E Cheese tweeted,

1172
01:06:33,720 --> 01:06:37,880
Speaker 1: can't wait to see it because they were not paying

1173
01:06:38,080 --> 01:06:42,640
Speaker 1: much attention. I guess, building off the backs of independent artists.

1174
01:06:44,440 --> 01:06:46,440
Speaker 1: Can't wait to see it. It's like a thing that

1175
01:06:47,640 --> 01:06:50,200
Speaker 1: would say it's just passing through sky. Tik Tak is

1176
01:06:50,240 --> 01:06:54,240
Speaker 1: already for sale on Forever twenty one. St We've been stolen.

1177
01:06:54,320 --> 01:06:57,960
Speaker 1: They got to us so far. You know who it was,

1178
01:06:58,320 --> 01:07:02,280
Speaker 1: whoever is operating that fucking guy tictack. Yea, what if

1179
01:07:02,320 --> 01:07:07,680
Speaker 1: this guy tic TACs are marketing to us? Oh I'm sorry,

1180
01:07:07,800 --> 01:07:11,320
Speaker 1: I got a hand Anyways, Jamie tweeted in response to

1181
01:07:11,360 --> 01:07:15,320
Speaker 1: that pay me you free loading rat and I am

1182
01:07:15,400 --> 01:07:17,920
Speaker 1: a big fan about that sentiment. You can find me

1183
01:07:18,040 --> 01:07:20,440
Speaker 1: on Twitter at Jack Underscore O'Brien. You can find us

1184
01:07:20,520 --> 01:07:22,760
Speaker 1: on Twitter at Daily Zis right at the Daily z

1185
01:07:22,800 --> 01:07:26,320
Speaker 1: i Geist on Instagram. We have a Facebook fan page

1186
01:07:26,440 --> 01:07:29,000
Speaker 1: and The Daily Zygeist is a production of My Heart Radio.

1187
01:07:29,080 --> 01:07:31,320
Speaker 1: For more podcasts for my Heart Radio, visit the I

1188
01:07:31,480 --> 01:07:35,840
Speaker 1: Heart Radio app, Apple Podcast, or wherever fine podcasts are

1189
01:07:35,840 --> 01:07:38,720
Speaker 1: given away for free. We also have a website daily

1190
01:07:39,320 --> 01:07:42,080
Speaker 1: dot com where we post our episodes and our foot

1191
01:07:42,880 --> 01:07:45,720
Speaker 1: We're off to the information that we talked about today's episode,

1192
01:07:46,000 --> 01:07:49,480
Speaker 1: as well as the song we ride out on. Was

1193
01:07:49,480 --> 01:07:51,760
Speaker 1: that going to be? Probably just been playing it all day.

1194
01:07:52,480 --> 01:07:55,640
Speaker 1: This is a song by Big Black Delta Yeah, and

1195
01:07:56,000 --> 01:08:00,280
Speaker 1: it's called Again and Kissing. And if you've seen the

1196
01:08:00,360 --> 01:08:04,320
Speaker 1: first season of the Center, this will rattle your bones.

1197
01:08:04,520 --> 01:08:06,720
Speaker 1: If not, you'll just think this is like heavy you

1198
01:08:06,800 --> 01:08:10,640
Speaker 1: know Electro sent track from two thousand ten, which it is,

1199
01:08:11,000 --> 01:08:13,960
Speaker 1: but man, the sents are heavy, the vocals are haunting,

1200
01:08:14,520 --> 01:08:16,600
Speaker 1: um and it's uh. The artist is actually just like

1201
01:08:16,680 --> 01:08:18,760
Speaker 1: a one man record crew. All the plays with band Wich,

1202
01:08:18,800 --> 01:08:20,479
Speaker 1: it's all done by him. So this is Hugging and

1203
01:08:20,600 --> 01:08:23,800
Speaker 1: Kissing by B b D. Yeah. BBD also has a

1204
01:08:23,840 --> 01:08:29,200
Speaker 1: B song h Side of the Road and Poison differently.

1205
01:08:29,400 --> 01:08:33,280
Speaker 1: Oh sorry spelled, but side of the Road is a

1206
01:08:33,320 --> 01:08:36,360
Speaker 1: big black belt side alt tong. Alright, we're gonna ride

1207
01:08:36,400 --> 01:08:38,040
Speaker 1: out on that. We will be back tomorrow because it

1208
01:08:38,160 --> 01:08:40,400
Speaker 1: is a daily podcast, and we'll talk to you then.

1209
01:08:40,520 --> 01:09:12,200
Speaker 1: Bye bye, Love to