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Speaker 1: Hello the Internet, and welcome to Season two, thirty four,

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Speaker 1: Episode three, Absurd Day. He's like, guys, a production to

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Speaker 1: buy a heart Radio. This is a podcast where we

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Speaker 1: take a deep dive into America's share consciousness. And it

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Speaker 1: is Wednesday April, which of course means that, oh you

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Speaker 1: didn't know, it's Stopped Food Waste Day, Stop food Waste Day.

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Speaker 1: It was a good day. Yeah. Also National Devil Dog

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Speaker 1: Day and National Prime Rib Day. That those two sound

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Speaker 1: like straight out to meet the industry lobby efforts. But

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Speaker 1: sure they're like and don't let it go to waste.

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Speaker 1: So it's a lot of big day like you know normally,

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Speaker 1: like it will be obscure things like don't don't bang

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Speaker 1: your pinky on the on the foot of a bed

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Speaker 1: day type stuff. Well, this one is Stop Food Waste Day,

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Speaker 1: Denim Day, Gummy Bear Day, National Babe Rut Day, Devil

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Speaker 1: Dog Day, Prime Rib Day, Devil Dog got top billing

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Speaker 1: over gummy Bear. Oh a devil Dog, Yeah, I was,

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Speaker 1: I was looking that up mere moments ago. It appears

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Speaker 1: to be a dessert. Yeah, okay, fine, fine, And that's

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Speaker 1: something to do world War two or some ship. Okay,

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Speaker 1: it all does doesn't it back to World War two?

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Speaker 1: Ready if we're not careful. Uh, well, my name is

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Speaker 1: Jack O'Brien. A K. I got hallo fangs. I feel

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Speaker 1: straw and my teeth suck blood through my hallo fans.

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Speaker 1: Won't make a mess. Just two small holes. All that

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Speaker 1: is courtesy of my brain. Can't stop thinking about those

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Speaker 1: hollow fangs. Um. Also, I thought that was the dirty

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Speaker 1: dancing song that was by Patrick Swayze. Um, it is,

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Speaker 1: in fact by someone named Eric some some guy named

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Speaker 1: Eric Eric carr In dude to my hungry eyes. Yeah,

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Speaker 1: shout out to god, Eric Carmen. I don't even know

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Speaker 1: any other I don't. I think I only remembered his

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Speaker 1: name because as my grandmother's name, and I was like, what,

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Speaker 1: how's this? This last name is my grandma's first name.

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Speaker 1: Name don't make sense? Well that was me at age six. Well,

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Speaker 1: I'm thrilled to be joined as always buy my co host,

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Speaker 1: Mr Miles Grab it's Miles Gray a k A. Biopick

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Speaker 1: me with your best shot? Why biopick me with your

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Speaker 1: best shot? Darny, biopick me with your best shot. Biopick Okay,

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Speaker 1: shout out to who is that Ruthie Fudge on Twitter.

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Speaker 1: Yes at ruth Fudge Budge on Twitter. Shout out Patty

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Speaker 1: b shout out Myron Grombacker. Uh, the drummer of that band,

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Speaker 1: my homie's dad. Okay, we got pat Benatar. I look,

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Speaker 1: I'm Forrest Gump. Okay. I know I know a little

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Speaker 1: bit about everybody out here. Um, but yeah, thank you

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Speaker 1: for having fun with the pronunciation of biopic biopic. Yeah.

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Speaker 1: They whoever wins, we all lose, or the opposite. It's fine.

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Speaker 1: I prefer to say biopic, but I can't. Intellectually, I

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Speaker 1: really do understand that. I think it probably should be

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Speaker 1: pronounced biopic biopic because it's biography. That's what I don't know.

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Speaker 1: I still can't get my mind around it. All right,

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Speaker 1: that's fine, that's fine. Well, because things we'll never get

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Speaker 1: our mind around. Uh. Today's guest, We're thrilled to be

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Speaker 1: joined once again by one of the funniest writers and

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Speaker 1: comedians out here doing it. You've seen her on TV,

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Speaker 1: on stages across this great land. She's written for Netflix's

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Speaker 1: History of Swear Words, a local periodical called The New Yorker.

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Speaker 1: She's at the point in her life where she's deeply

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Speaker 1: calmed by miniatures. Welcome back to the show, the hilarious

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Speaker 1: and talented Maggie mag for me, welcome Let's biopic or

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Speaker 1: bio opic biopic? But biopic sounds easier better because it's

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Speaker 1: what you're trying to do. Yeah, I think because bio

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Speaker 1: biopic it sounds like biopsy too. I think that's what's

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Speaker 1: throwing me off to um. Also, second question, do drag

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Speaker 1: Do vampires have hollow fangs that they use like straws

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Speaker 1: to suck the blood out through their fangs or do

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Speaker 1: they bite you and just bleed you out? In your mind?

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Speaker 1: How do those fangs operate? So I thought they bit

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Speaker 1: you with the fangs and got a good vein going

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Speaker 1: and just sucked it out of you, kind of like

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Speaker 1: like when you shot gun a beer. They're just shotgunning

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Speaker 1: blood out of you, right, But they're not doing it

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Speaker 1: sloppy like it's your first shotgun. It's getting all over

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Speaker 1: the place. You're like, I got all twelve ounces into

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Speaker 1: my mouth. This in their first blood bath, right right?

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Speaker 1: I like that and that is the correct opinion. We're

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Speaker 1: just I'm always amazed when I find other people like

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Speaker 1: Miles and I who believed that they had straws in

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Speaker 1: their fangs for some reason, and that those fangs just

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Speaker 1: extracted the blood through them. I used to believe that. Yeah,

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Speaker 1: I used to believe that, but I was just like,

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Speaker 1: wait a minute, that looks familiar. Wait a minute. I've

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Speaker 1: tried it both ways, and this way is much more efficient.

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Speaker 1: I like the shotgunning a beer that brings him back

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Speaker 1: to the days of teen Wolf when he uses his

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Speaker 1: fangs too shotgun a beer and it immediately impresses the

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Speaker 1: girl he's trying to impress, so um by spraying beer

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Speaker 1: foam all over her, which uh I quickly learned not

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Speaker 1: not as cool as teen Wolf made it seem. Now,

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Speaker 1: imagine if teen Wolf was a teen vampire and he

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Speaker 1: was trying to impress somebody shotgunning beer out of their neck,

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Speaker 1: and they'd be like, this is a crime, but also

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Speaker 1: kind of cool. Wow, he shot gun to the blood

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Speaker 1: out of that cow. Not a drop left. So with

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Speaker 1: the equivalent of like shotgunning, like shaking it up and

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Speaker 1: shotgun with the equivalent beaches like having them do a

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Speaker 1: quick workout. So blood was like ready to just come.

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Speaker 1: I think if you're hitting a main artery there's enough

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Speaker 1: arterial pressure to eject the blood out of velocity, enough

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Speaker 1: for clean contin maybe enough for you. But I'm talking

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Speaker 1: about a party vampire was ready. I'm not. I'm not

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Speaker 1: sipping those quota neat the little Corona beers. Okay, family, Yeah,

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Speaker 1: I'm drinking a Heineken party keg. Drinking like blood thin.

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Speaker 1: Alcohol thins your blood. So he would want somebody who

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Speaker 1: had been drinking alcohol plus second hand alcohol, right, so maybe,

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Speaker 1: but for your sobriety, Jack, I would check on that.

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Speaker 1: You know what I mean. You don't want to mess up? Yeah?

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Speaker 1: Like what what would that do? Yeah? Probably not? Okay,

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Speaker 1: that feels like a like a like a bit that

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Speaker 1: would be in like what we do in the shadows.

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Speaker 1: I've been like no, like, don't don't go out into

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Speaker 1: the patrons like you're sober now and we know what

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Speaker 1: you're doing. It's like you when you stopped drinking liquor,

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Speaker 1: but you only started drinking I P eight beers all

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Speaker 1: the time. What's see, what's the alcohol cons That a

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Speaker 1: BV on there that's standing in front of the beer case.

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Speaker 1: Just like reading all the labels, that was me that

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Speaker 1: like breathalyzer canjact that that flavor doesn't sound appealing. What

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Speaker 1: what's wrong with water? I p A it sounds good.

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Speaker 1: I'm like, you're only doing it because the a bb

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Speaker 1: no trying a new one. How you're talking about um?

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Speaker 1: But also at all, I mean, look, I was the

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Speaker 1: same I've I've I've been in many positions to where

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Speaker 1: I used the I p A hack to like drink

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Speaker 1: somebody was drinking less and you're like, oh, yea, you know,

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Speaker 1: I'm just having beer right now. I'm just gonna have

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Speaker 1: the most powerful beer at this bar many times after UM.

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Speaker 1: But at least I'm not hearing a cocktail glass. But Jack,

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Speaker 1: in our defense, like we said we were, we were

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Speaker 1: brought to the idea of the hollow fang myth because

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Speaker 1: of imagery and the media. People weren't all bloody messes

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Speaker 1: that allowed us to believe that blood was just spilling everywhere.

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Speaker 1: And again I fall back to the Reesis Peanut Buttercup

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Speaker 1: commercial from the early nineties where they say how does

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Speaker 1: a vampire eat his recist? And it was just two

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Speaker 1: holes in? And then that's true. That is true as

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Speaker 1: a child, as a youth, And there they are making

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Speaker 1: a claim to truth in that ad by saying, this

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Speaker 1: is how a vampire. It's not just a thing that

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Speaker 1: incidentally happens in the background. They're they're saying, hey, we

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Speaker 1: have some data for you for your young mind to

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Speaker 1: just check out. Here. This is actually how a vampire.

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Speaker 1: We tested it. This is how they eat a resist.

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Speaker 1: So if the only Republicans knew how powerful commercials were,

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Speaker 1: they would start they would here. Yeah, damn prop propaganda

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Speaker 1: out here making you think that your blood can't really

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Speaker 1: spray if you get your neck bit exactly now, Maggie

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Speaker 1: on Twitter, you're talking about you are working on a

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Speaker 1: project that involves miniatures. So I don't wanna I don't

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Speaker 1: want to blow up anything, but I am just like

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Speaker 1: I want to hear you talk about miniatures. Do you

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Speaker 1: want Do you promise to bring that up in your

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Speaker 1: search history over it? Will? Yeah, I found a way

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Speaker 1: to bring it into my because I'm so excited about

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Speaker 1: talking about all right, well, we're going to get to

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

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Speaker 1: a couple of things we're talking about. We're gonna talk about, um,

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Speaker 1: the truckers, the pisto soaked trucker's returned to California after

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Speaker 1: their triumphant convoy about the nation saving lives. I don't

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Speaker 1: know what the funk they claimed to have been doing,

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Speaker 1: but they're back and they uh, they were ready to

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Speaker 1: liberate Oakland and Oakland was not ready to be liberated.

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Speaker 1: We will talk about that very interesting decision venue for them.

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Speaker 1: But okay, you just heard about Oakland. Okay, we'll talk

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Speaker 1: about CNN plus going down. We'll talk about budgets for

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Speaker 1: streaming shows going way up. Um And just like generally,

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Speaker 1: the need for growth, the addiction to growth um on

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Speaker 1: like basically everything, but media in particular. It feels like,

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Speaker 1: you know, a media thing has success and then wall

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Speaker 1: streets like, all right, so how do we ten x this? Like?

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Speaker 1: What what do my blog? Right? Yeah? Yeah, I mean

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Speaker 1: like I feel like we could give been three million

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Speaker 1: people here. This is a real specific thing about like

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Speaker 1: the sickest I p a s. That's right to drink.

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Speaker 1: But um, And we're gonna talk about MPR if we

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Speaker 1: have time. I want to. I want to just ask

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Speaker 1: you guys, have you listened to MPR lately? Uh? And

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Speaker 1: do you realize how weird it is? Um? All that

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Speaker 1: plenty more. But first Maggie. We do like to ask Eric,

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Speaker 1: guess what is something from your search history that is

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Speaker 1: revealing about who you are? Okay, um, my search history,

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Speaker 1: I look up knee injury because on Easter. Actually, um,

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Speaker 1: I hurt my knee playing. Uh yeah, but it was

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Speaker 1: worth it. I was playing Hacky Sack and I did

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Speaker 1: one of those cart wheels to kick the ball into

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Speaker 1: play what I what? But I did not compensate for

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Speaker 1: the fact that the ground was a little bit uneven.

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Speaker 1: So I landed kind of weird and my knee kind

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Speaker 1: of snapped and then snapped back, and uh, yeah, it's

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Speaker 1: just I think it was a sprain. But I have

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Speaker 1: good knees. I have like Megan the Stallion knees. So

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Speaker 1: I was like, am I going to recover from this?

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Speaker 1: Am I going to hurt feelings of the future? Right? Right? Right?

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Speaker 1: Any any soreness? So, how how's your mobility now a

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Speaker 1: few days after? It's not bad? Um, I took a

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Speaker 1: walk today and it wasn't It wasn't too bad. It

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Speaker 1: was you know, just you know, probably a mile and

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Speaker 1: a half round trip, not much, but like, yeah, I

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Speaker 1: mean I've been icing it. I've been taking out of

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Speaker 1: prof and I've been doing everything that I can do

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Speaker 1: to get back to where I was of the time.

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Speaker 1: Justice it and put take ivy profim. Yeah yeah, you

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Speaker 1: got all this from just googling knee injury. Yeah yeah, well,

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Speaker 1: I mean I had to go to the yard that night.

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Speaker 1: It was like really swollen and really holding and I

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Speaker 1: was like, let me just double check make sure I

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Speaker 1: didn't break anything. So I didn't break anything. They're sending

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Speaker 1: me to some specialists just in case, so I should

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Speaker 1: be fine. But I was just like, oh my goodness,

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Speaker 1: Am I going to be able to show people what

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Speaker 1: time it is in the future? Yeah? On the hacky

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Speaker 1: sack pitch? Yeah, I'll do it again. I've learned zero lessons.

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Speaker 1: I will try it again, and I will. You're an

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Speaker 1: athlete speed, you don't initiate this with a signature car

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Speaker 1: wheel again, get back? Am I going to not do

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Speaker 1: something badass at Easter party? Come on? Man? I was like,

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Speaker 1: you're talking to like, can I get to refer to

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Speaker 1: someone who like knows what fucking time it is they have?

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Speaker 1: Do they have a specialist at the yard or did

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Speaker 1: you have to see Yeah, doctor feel good was not working,

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Speaker 1: but especially as did have dreadlocks and was a white guy,

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Speaker 1: so it felt inappropriate. We're gonna get you back out there.

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Speaker 1: We're gonna get you back out there, he said that

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Speaker 1: I was doing really yeah, my diagnosis, he said, chaw.

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Speaker 1: Now Haggy Sack is typically played. There's no place that's

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Speaker 1: typically played. It's all over the place, right, So, I mean,

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Speaker 1: I guess that is one of the hazards of the

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Speaker 1: game that you love, is that you know sometimes the

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Speaker 1: ground will be uneven. Yeah, that's I mean. And it's

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Speaker 1: been a while since I played, and I was just

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Speaker 1: getting so excited because we're having a lot of chatter,

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Speaker 1: not a lot of pancake batter h So I didn't

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Speaker 1: really look what, you know, what was going on, but

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Speaker 1: I got it for next time. I got it. Well,

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Speaker 1: please tell me that you were just ether in the

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Speaker 1: field like everybody was, like, damn, Maggie came to fucking play.

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Speaker 1: I mean, or there other well skilled hackers with you.

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Speaker 1: We were shot Now. I came to play like that

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Speaker 1: was not my first play of the thing. I got

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Speaker 1: it off my head. I think I did one of

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Speaker 1: them body rolls where you kick it on the back.

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Speaker 1: Oh no, you know what I did. I took it

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Speaker 1: and I did a spin and kicked it through the back.

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Speaker 1: You know what you're facing them, You get it up

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Speaker 1: in your feet and then turn around and spin and

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Speaker 1: kill it in. I did that several times. Oh yeah,

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Speaker 1: I want to I want to know, like how does

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Speaker 1: a hack come together? Like are you just walking down

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Speaker 1: the street and people are hacky sacking? Or do you

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Speaker 1: and you just jump in? Or like is this a

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Speaker 1: meet up where you guys are like, yo, let's go

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Speaker 1: down to the park and oh no, it was like

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Speaker 1: an Easter party and we were playing and then there

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Speaker 1: was like, oh it's a Hackies hack. I want to play.

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Speaker 1: There are a bunch of different games that we were doing.

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Speaker 1: But if I walk up on a Hackey set game

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Speaker 1: and I can get in, I'm gonna get in. Yeah,

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Speaker 1: I'm gonna get in, get one hack in and just

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Speaker 1: make their whole day. They just walk through and then

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Speaker 1: blew your knee out and then curse in front of

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Speaker 1: a bunch of kids out of easter bullshit ard ship.

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Speaker 1: I don't care, Carrie, I don't care if people. I

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Speaker 1: better have an umbrella policy. You better have an umbrella policy.

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Speaker 1: Joke out of here, man, you want to do your

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Speaker 1: little kid game. Shit fucking what's the worst way you

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Speaker 1: have You ever embarrassingly hurt your knee? Jack? Uh? No,

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Speaker 1: I I did hurt my back. One time. There was

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Speaker 1: like a pretty woman who was like my friend and

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Speaker 1: I were leaving a bar in New York City and

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Speaker 1: she was like, Hey, I'm trying to get this like

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Speaker 1: thing up these stairs. Do you think you could help me?

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Speaker 1: And uh we I was like sure, sure thing, like

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Speaker 1: lowered my voice a couple of octaves, was like, yeah,

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Speaker 1: I got this, no, no problem, And it was she

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Speaker 1: hadn't told us she was on like the fourth floor

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Speaker 1: of walk up. I was like pouring sweat. When I

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Speaker 1: got done, she was like do you do you want money?

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Speaker 1: Like do you want twenty dollars? I was like no, no,

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Speaker 1: like that that was nothing. And then I got down

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Speaker 1: and when I got to the street level, I laid

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Speaker 1: down on the um on the sidewalk and and could

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Speaker 1: not get back up. And then she walked by and

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Speaker 1: I was like, hey, what's up? Just yeah, no, no, no,

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Speaker 1: it wasn't from it wasn't from lifting the thing. It

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Speaker 1: was Nah, it was nothing. You know, I'm big, big

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Speaker 1: mellow fans, so I like to down on the court

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Speaker 1: sometimes like Mellow does off the baseline. That's what I'm

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Speaker 1: just tired. That sucks. That sucks that you even you

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Speaker 1: had to even explain like afterwards, like now I'm good

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Speaker 1: on the twenty bucks. If I can just lay in

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Speaker 1: front of your building for minutes, just on the stoop,

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Speaker 1: that would be great. She had to come down to

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Speaker 1: be like I broke him. Yeah, oh no, could you

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Speaker 1: could you please get out from in front of my apartment?

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Speaker 1: Do I have to call someone? Please? Do you need

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Speaker 1: to ride somewhere? Yeah? At the worst, I hurt. My

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Speaker 1: knee was on a gigantic slip and slide, like an

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Speaker 1: inflatable one, and it was on a fucking hill and

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Speaker 1: it was basically had like an inflatable backstop. But I

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Speaker 1: think I waighed more than like the people running it

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Speaker 1: were like, yeah, go ahead, man, just like let it rip.

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Speaker 1: I have my legs straight on in front of me.

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Speaker 1: I hit that backstop and like my left knee just

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Speaker 1: went and I was just like, oh my god, fucking

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Speaker 1: slip aside injury, like when plating will slip aside injury.

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Speaker 1: And I had to walk that ship off. I was like,

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Speaker 1: I'm good I'm good because other people like whoa, whoa.

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Speaker 1: You came in a lot of speed and I really

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Speaker 1: did the probably thing like you. Jack was like, no,

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Speaker 1: I'm good, I'm good. And then I found like a

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Speaker 1: corner and like like a hurt animal to like die

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Speaker 1: in the bushes, like away from everyone's view. And I

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Speaker 1: was like, I just want to be alone. I'm not

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Speaker 1: hurt on my phone, man, I'm just going through some stuff. Man,

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Speaker 1: my uncle passed recently. Man, just leave alone. Oh. I

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Speaker 1: was like when I was dating this girl, I had

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Speaker 1: never kissed a girl before, and like the whole night

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Speaker 1: I was really nervous about like that I was going

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Speaker 1: to have my first kiss and like so uh And

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Speaker 1: she was like, what's wrong with you? I was like,

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Speaker 1: I just got a lot going on at home. She

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Speaker 1: dent me the next day. You're really serious and funked up. Anyway,

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Speaker 1: did y'all kiss? Yeah? Yeah? Yeah? Oh, but you're like

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Speaker 1: like I got a lot of ship going on. Now

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Speaker 1: make with the kisses, all right, My mom's here, gotta go.

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Speaker 1: All right, mommy, I did the kiss. Um, good, thank you,

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Speaker 1: thank you. What what is something you think is overrated? Okay?

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Speaker 1: So overrated? And let me preface this, I like this thing.

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Speaker 1: Twitter is overrated. Yeah, I like Twitter. I love Twitter.

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Speaker 1: I'm on Twitter currently. I don't forty six billion dollars

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Speaker 1: like Twitter. I don't know anybody making money off of

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Speaker 1: Twitter right now. Like Twitter. I mean, it's just fun

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Speaker 1: and recreation. The fact that you know, they didn't even

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Speaker 1: verify me, so you want to buy a forty six

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Speaker 1: million billion dollar entity that doesn't even recognize that, I'm cool. Yeah,

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00:19:53,640 --> 00:19:58,040
Speaker 1: big mistake, musk. Yeah, it's honestly, it was one of

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Speaker 1: those things too, Like you said, I'm like, yeah, Twitter,

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00:20:00,359 --> 00:20:03,040
Speaker 1: I'm like mmmmm. But if it starts going down, not

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00:20:03,200 --> 00:20:06,280
Speaker 1: that much, like, because I think a lot of people's

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Speaker 1: concerns are like, oh, are we just going to go

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00:20:08,080 --> 00:20:12,440
Speaker 1: back to sixteen Twitter, where it was just an absolute

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Speaker 1: pit fire, you know, just like and being like, yeah,

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Speaker 1: this is free speech, and I'm like this good on

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Speaker 1: that I can. The problem with Twitter is not that

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Speaker 1: people don't have free speech, Like that's not the issue.

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Speaker 1: No one can say, like, oh, we can't say whatever.

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00:20:31,280 --> 00:20:35,359
Speaker 1: I had an account. The name of the account was

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Speaker 1: nigger Cat, and the bio of it said, I'm me

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Speaker 1: ow a niggers. I don't know if you guys can

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Speaker 1: even play this or if you're gonna play a cat

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Speaker 1: going me out when I say the word. But I like,

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Speaker 1: he just started me owing at me. And I went

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Speaker 1: and looked at the account and he's just me owing

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Speaker 1: at black people. And I was like, Twitter, Hey, this

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Speaker 1: person who says that this is what they do is

356
00:20:59,480 --> 00:21:03,040
Speaker 1: doing this harassing me on Twitter was like, we see

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Speaker 1: no problem. It has not got against our thing. And

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Speaker 1: so one of my friends was like, oh, sometimes it

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00:21:09,680 --> 00:21:13,200
Speaker 1: takes somebody with like a blue checkmark too to complain

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Speaker 1: about something. So I had a few of my friends

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Speaker 1: like and a few people like saw that and they

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00:21:17,040 --> 00:21:18,480
Speaker 1: were like no, and they all went and did that.

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Speaker 1: Then Twitter was just like, oh, well, we've decided of

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Speaker 1: our own accord that we're going to remove this account. Yeah,

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00:21:25,800 --> 00:21:27,600
Speaker 1: They're like, you're not black. You don't even have a

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Speaker 1: blue checkmark. That doesn't make my confirmed. Yeah, Like, what

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00:21:34,600 --> 00:21:38,480
Speaker 1: the are you talking about? Yeah? Yeah, I mean it's

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00:21:38,520 --> 00:21:40,960
Speaker 1: it's again. I mean I think it's gonna it's gonna

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00:21:41,000 --> 00:21:42,639
Speaker 1: take a while to actually see what is going to

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00:21:42,720 --> 00:21:44,760
Speaker 1: be rolled out because there's still a lot of approvals

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Speaker 1: to go through that that mega deal. But I mean,

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Speaker 1: it's just it's it doesn't I'm not I'm not convinced

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Speaker 1: that this guy is here to do the right thing.

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Speaker 1: And also I have feeling he's not gonna be I

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Speaker 1: don't think even he's ready to know what the funk

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00:21:56,960 --> 00:21:59,159
Speaker 1: he's gonna have to do running Twitter and dealing with

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00:21:59,280 --> 00:22:03,119
Speaker 1: the headache of content moderation and all that ship and like,

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00:22:03,200 --> 00:22:05,080
Speaker 1: how can you what do you think is going to

379
00:22:05,200 --> 00:22:07,760
Speaker 1: make it better? Like what in your mind is like, oh,

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00:22:07,880 --> 00:22:10,640
Speaker 1: Twitter is missing this. Twitter is missing you know, ice

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00:22:10,680 --> 00:22:13,240
Speaker 1: cream machine and Twitter is missing that. Like what could

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00:22:13,280 --> 00:22:14,960
Speaker 1: you really add to Twitter that people are going to

383
00:22:15,040 --> 00:22:18,440
Speaker 1: be like, yeah, okay, this is this is when people

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00:22:18,480 --> 00:22:21,520
Speaker 1: go to your profile page, We'll let a hit song

385
00:22:21,720 --> 00:22:24,280
Speaker 1: play for the first thirty seconds, Like my Space, remember,

386
00:22:24,880 --> 00:22:28,159
Speaker 1: put some glitter graphics on. There's really bring me my

387
00:22:28,280 --> 00:22:32,360
Speaker 1: top ten on Twitter? Like, let's just map a bunch

388
00:22:32,400 --> 00:22:34,119
Speaker 1: of Facebook sho on there. Like, let me do a

389
00:22:34,200 --> 00:22:37,360
Speaker 1: bunch of wacky backgrounds I can just sunk up using

390
00:22:37,440 --> 00:22:39,320
Speaker 1: code and be like, yeah, man, your curse are gonna

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00:22:39,320 --> 00:22:44,120
Speaker 1: sparkle when you come on my page. But yeah, it's

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Speaker 1: I think, I mean the biggest thing that I think

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00:22:46,480 --> 00:22:48,359
Speaker 1: that I've heard recently is that he wants to make

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Speaker 1: sure that every person using it is a verified human

395
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Speaker 1: being to get around the bot issue. And I'm like, okay,

396
00:22:54,760 --> 00:22:57,920
Speaker 1: if you think you know how to climb that fucking mountain, yeah,

397
00:22:58,880 --> 00:23:00,560
Speaker 1: I'm sure, But I have a feeling two or it's

398
00:23:00,560 --> 00:23:02,160
Speaker 1: going to turn into the thing where it's like any

399
00:23:02,240 --> 00:23:04,280
Speaker 1: startup company, or it's like, let's try a bunch of

400
00:23:04,520 --> 00:23:08,200
Speaker 1: terrible ideas and then we'll just cycle through them and

401
00:23:08,280 --> 00:23:09,880
Speaker 1: like every day it's going to be some weird ship

402
00:23:10,000 --> 00:23:15,280
Speaker 1: and eventually people just I don't know, go back to all. Yeah.

403
00:23:15,400 --> 00:23:18,240
Speaker 1: I feel like it's going to be all about free

404
00:23:18,280 --> 00:23:24,440
Speaker 1: speech for him and other powerful people, and they're not

405
00:23:24,440 --> 00:23:28,040
Speaker 1: gonna be too worried about anybody who's not by my

406
00:23:28,280 --> 00:23:33,840
Speaker 1: dog shit token. Okay, dogshit token moon by now alright

407
00:23:34,000 --> 00:23:37,040
Speaker 1: at Ellen out. But yeah, it's gonna be. That's what

408
00:23:37,119 --> 00:23:39,240
Speaker 1: I'm curious though, too, is to see when that happens,

409
00:23:39,280 --> 00:23:42,360
Speaker 1: how people funk with Ellen to start posting ship that's

410
00:23:42,520 --> 00:23:46,640
Speaker 1: directly about him, to like, you know, catalyze a response

411
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Speaker 1: from Twitter. That's the thing. It's like, I'm pretty sure

412
00:23:49,800 --> 00:23:53,280
Speaker 1: that you will stop, like you will censor my ether

413
00:23:53,440 --> 00:23:59,119
Speaker 1: Rich messages if they have really specific recipes and ideas, like,

414
00:23:59,200 --> 00:24:01,640
Speaker 1: I'm sure that that not something that you want. That's

415
00:24:01,680 --> 00:24:03,920
Speaker 1: not a hashtag you want to circulate, right, Like in

416
00:24:04,000 --> 00:24:06,200
Speaker 1: the uprisings when people are like, here's how you actually

417
00:24:06,280 --> 00:24:08,840
Speaker 1: comment to your a military humpy? You know what I mean?

418
00:24:08,920 --> 00:24:10,280
Speaker 1: When they're like, you know how to turn on a

419
00:24:10,320 --> 00:24:12,199
Speaker 1: military humpy because it's not the normal thing. You need

420
00:24:12,240 --> 00:24:13,919
Speaker 1: to click, turn it over once twice, and then put

421
00:24:13,960 --> 00:24:15,600
Speaker 1: it in gear. And like those tweets, I was like,

422
00:24:15,880 --> 00:24:17,640
Speaker 1: I wonder if tweets like that are going to cook

423
00:24:17,680 --> 00:24:21,199
Speaker 1: on Twitter when Ellen is in charge or that one

424
00:24:21,280 --> 00:24:24,720
Speaker 1: dude who's just tracking him. Yeah. Right. We offered five

425
00:24:27,600 --> 00:24:29,119
Speaker 1: five grand and then I was like, all right, I

426
00:24:29,160 --> 00:24:34,200
Speaker 1: guess we'll go with the billion. Then my other plan,

427
00:24:34,560 --> 00:24:37,000
Speaker 1: so plan A get this guy to stop following me

428
00:24:37,080 --> 00:24:41,560
Speaker 1: by Yeah, what if something you think is underrated? Okay,

429
00:24:41,680 --> 00:24:45,560
Speaker 1: So this is where my miniature's project comes in. I'm

430
00:24:45,600 --> 00:24:49,000
Speaker 1: super excited about it. Um. I'm obsessed with fashion dolls,

431
00:24:50,000 --> 00:24:53,760
Speaker 1: specifically black fashion dolls because growing up in South Texas

432
00:24:53,800 --> 00:24:56,159
Speaker 1: there weren't a lot of black people. They didn't make

433
00:24:56,200 --> 00:24:59,320
Speaker 1: a priority to have black dolls. Right, So now that

434
00:24:59,400 --> 00:25:01,119
Speaker 1: I'm an adult with all my own money and my

435
00:25:01,200 --> 00:25:02,800
Speaker 1: own car to drive to the store. I get as

436
00:25:02,840 --> 00:25:05,880
Speaker 1: many black dolls as I can. And I've been meaning

437
00:25:05,960 --> 00:25:10,000
Speaker 1: to for a while make little doll scenes, so they're

438
00:25:10,040 --> 00:25:12,480
Speaker 1: now um, Like I made a little brunch scene for

439
00:25:12,600 --> 00:25:15,200
Speaker 1: some of them. There's like a little kitchen scene where

440
00:25:15,200 --> 00:25:18,680
Speaker 1: they're cooking, and then like there's a kid's scene, and

441
00:25:18,760 --> 00:25:20,960
Speaker 1: then like I got a Bill Clinton doll. He's peeking

442
00:25:21,000 --> 00:25:23,480
Speaker 1: in a branch. It's like, it's super cute. You have

443
00:25:23,560 --> 00:25:26,760
Speaker 1: a Bill Clinton fashion doll. Yeah, my neighbor gave me

444
00:25:27,040 --> 00:25:29,480
Speaker 1: like a Bill Clinton. It's supposed to talk, but it's

445
00:25:29,720 --> 00:25:32,080
Speaker 1: like sealed from the nineties, like no one's ever like

446
00:25:32,240 --> 00:25:34,920
Speaker 1: opened it, so it doesn't work anymore. But it looks

447
00:25:35,000 --> 00:25:37,159
Speaker 1: just like him, and it's like it's super funny to

448
00:25:37,200 --> 00:25:39,600
Speaker 1: have him just peeking in, looking like, what are you ladies?

449
00:25:39,600 --> 00:25:43,840
Speaker 1: Something from runch get super so um. With the kitchen scene,

450
00:25:43,880 --> 00:25:45,920
Speaker 1: I was making like, you know, pies and you know,

451
00:25:46,119 --> 00:25:48,400
Speaker 1: like easy to make little things. I figured they needed

452
00:25:48,400 --> 00:25:52,640
Speaker 1: a little bit of a more healthy situation. So I figured,

453
00:25:53,000 --> 00:25:55,400
Speaker 1: let me go get those runs candies that we all had.

454
00:25:55,480 --> 00:25:59,359
Speaker 1: That's perfect, you know. That was the perfect candy to do,

455
00:25:59,600 --> 00:26:04,400
Speaker 1: you know, for else. They don't sell rents anymore, can't.

456
00:26:04,600 --> 00:26:07,520
Speaker 1: You can't go to a Target or to CVS or

457
00:26:07,600 --> 00:26:09,840
Speaker 1: like a Walmart even and get like a like a

458
00:26:10,640 --> 00:26:13,480
Speaker 1: a box runs or anything like that. You you have

459
00:26:13,680 --> 00:26:17,240
Speaker 1: to buy it at Amazon, like you have to look

460
00:26:17,280 --> 00:26:19,480
Speaker 1: at like go to Amazon. There are places that will

461
00:26:19,480 --> 00:26:22,720
Speaker 1: sell you just a bag of the bananas, but they don't.

462
00:26:22,960 --> 00:26:27,040
Speaker 1: So runts are underrated because like you really think that

463
00:26:27,080 --> 00:26:29,560
Speaker 1: they're always going to be there for you. You know,

464
00:26:29,720 --> 00:26:32,000
Speaker 1: as a kid, you always think that's the healthiest candy

465
00:26:32,080 --> 00:26:34,439
Speaker 1: out there. It shaped like, you know, like you always

466
00:26:35,000 --> 00:26:37,160
Speaker 1: I took it for granted, and now that I can't

467
00:26:37,200 --> 00:26:39,919
Speaker 1: get it now, I'm like, oh it tasted good too.

468
00:26:40,040 --> 00:26:43,240
Speaker 1: It wasn't just a good display candy for dolls. It

469
00:26:43,359 --> 00:26:46,720
Speaker 1: was also a delicious kid. The red ones, the green

470
00:26:47,000 --> 00:26:50,440
Speaker 1: the green ones were good. So that was an underrated

471
00:26:51,119 --> 00:26:53,200
Speaker 1: A question about runts and how they fit into a

472
00:26:53,280 --> 00:27:00,680
Speaker 1: miniature like escape that you're building because the bananas, I

473
00:27:00,800 --> 00:27:04,359
Speaker 1: feel like they're the right size. The orange looks like

474
00:27:04,440 --> 00:27:07,720
Speaker 1: an orange compared to the bananas um and then there's

475
00:27:07,720 --> 00:27:12,560
Speaker 1: a giant purple. I don't know if that's like I'm

476
00:27:12,600 --> 00:27:15,879
Speaker 1: guessing it's grape, but that would be the biggest grape

477
00:27:16,080 --> 00:27:19,560
Speaker 1: in the history of the world. Um, the big purple balls.

478
00:27:19,880 --> 00:27:23,720
Speaker 1: Um we're going we go on a eggplant on that.

479
00:27:24,960 --> 00:27:29,040
Speaker 1: Either that or um, I got a little trey looking

480
00:27:29,160 --> 00:27:31,320
Speaker 1: thing that I'm going to just put them in as

481
00:27:31,400 --> 00:27:36,000
Speaker 1: some kind of a casserole. M Okay, that's that's clever.

482
00:27:36,680 --> 00:27:39,280
Speaker 1: I mean, couldn't you get in with the fashion dolls?

483
00:27:39,359 --> 00:27:40,960
Speaker 1: Like I know, like when I was a kid in

484
00:27:41,080 --> 00:27:45,480
Speaker 1: Japan there were always little like miniature of restaurant things

485
00:27:45,600 --> 00:27:50,560
Speaker 1: made for people to super turn up their scenes in Japan.

486
00:27:50,960 --> 00:27:55,320
Speaker 1: And bought a bunch of erasers that are perfect size. Okay,

487
00:27:55,560 --> 00:27:58,399
Speaker 1: they look like real food. I got a Bento box,

488
00:27:58,480 --> 00:28:01,880
Speaker 1: I got sushi I got okay, so we're international, got chips,

489
00:28:02,200 --> 00:28:04,880
Speaker 1: you know, yeah, yeah, yeah, I love that all kinds

490
00:28:04,920 --> 00:28:07,000
Speaker 1: of stuff. But I'm no need to go get some

491
00:28:07,080 --> 00:28:11,600
Speaker 1: more dolls because I got another scene planned right right one.

492
00:28:11,720 --> 00:28:16,800
Speaker 1: So okay, okay, okay, are those devil dogs Bill Clinton?

493
00:28:17,160 --> 00:28:21,440
Speaker 1: Uh spying on your brunch? Devil dogs? Just a craven.

494
00:28:21,520 --> 00:28:23,520
Speaker 1: I feel like having that, Like you can get so

495
00:28:23,720 --> 00:28:25,879
Speaker 1: comedic just by throwing up Bill Clinton doll in the

496
00:28:26,000 --> 00:28:28,320
Speaker 1: mix with a bunch of black women, you know what

497
00:28:28,400 --> 00:28:31,159
Speaker 1: I mean, Like I don't know what. Yeah, like a

498
00:28:31,280 --> 00:28:34,520
Speaker 1: weird family circus cartoon strip where it's like, you know, girl,

499
00:28:35,280 --> 00:28:39,800
Speaker 1: like hey, y'all, Hey sisters, y'all, you want to help

500
00:28:39,840 --> 00:28:43,920
Speaker 1: me get my red wet so I can play sexy

501
00:28:44,160 --> 00:28:50,320
Speaker 1: saw me on our ciny ho right, like ship Bill coming,

502
00:28:50,640 --> 00:28:53,520
Speaker 1: Bill coming, Shut the funk up. I like it's a

503
00:28:53,600 --> 00:28:56,360
Speaker 1: comic strip, whereas these black women and Bill Clinton is

504
00:28:56,360 --> 00:29:04,160
Speaker 1: their roommate, who they just at all? Exactly? This done?

505
00:29:04,200 --> 00:29:06,120
Speaker 1: This motherfucker gouss somewhere to go. It's like, well, Joe,

506
00:29:06,200 --> 00:29:09,320
Speaker 1: since Hillary left his ass, he's a fucking mess. Who

507
00:29:09,400 --> 00:29:13,120
Speaker 1: want to watch Living Single with me? Yeah? Exactly. I

508
00:29:13,200 --> 00:29:16,280
Speaker 1: mean sometimes I feel like I'm kind of Maxine Shaw,

509
00:29:19,120 --> 00:29:21,000
Speaker 1: like all right, credit to you, and with the Maxine

510
00:29:21,040 --> 00:29:26,440
Speaker 1: I guess, yeah, slapping it. Honestly, I think I would

511
00:29:26,520 --> 00:29:31,480
Speaker 1: watch a cartoon about Bill Clinton inconveniencing a bunch of

512
00:29:31,560 --> 00:29:34,560
Speaker 1: people because he's their roommate and like deep grappling with

513
00:29:34,680 --> 00:29:36,760
Speaker 1: the fact that it is Bill Clinton. Is that what

514
00:29:36,880 --> 00:29:41,680
Speaker 1: your miniatures project is? Hey, I'm gonna send you some

515
00:29:41,760 --> 00:29:46,400
Speaker 1: spec scripts for your miniatures. I mean I love that

516
00:29:46,400 --> 00:29:48,440
Speaker 1: you're working on a miniatures project because I feel like

517
00:29:48,520 --> 00:29:51,880
Speaker 1: we have like the miniatures projects we get are all

518
00:29:52,320 --> 00:29:55,920
Speaker 1: like you know, Wes Anderson or Wes Anderson light, Like

519
00:29:56,560 --> 00:29:59,520
Speaker 1: there's a lot of that tweet sensibility. I want. I

520
00:29:59,600 --> 00:30:04,360
Speaker 1: want new brains in the miniature world. Yeah, I'll take

521
00:30:04,400 --> 00:30:06,480
Speaker 1: some pictures of them if it comes down with this

522
00:30:06,600 --> 00:30:09,040
Speaker 1: living room one. But I'm super excited. I'll just go

523
00:30:09,160 --> 00:30:11,680
Speaker 1: and look at it sometimes and be like, yeah, they're

524
00:30:11,720 --> 00:30:14,600
Speaker 1: so cute like that. I mean, and I love that

525
00:30:14,680 --> 00:30:17,360
Speaker 1: you're capturing the thing from your childhood because that's so

526
00:30:17,560 --> 00:30:20,840
Speaker 1: much about like it's a weird dimension of our personalities

527
00:30:20,840 --> 00:30:23,000
Speaker 1: that we don't really indulge as much as adults. Like

528
00:30:23,080 --> 00:30:24,720
Speaker 1: we're like, man, I'm off that ship. I don't really

529
00:30:24,760 --> 00:30:28,040
Speaker 1: do that, and I there's so many things like I've

530
00:30:28,880 --> 00:30:30,880
Speaker 1: but I love doing as a kid. I mean, sneakers

531
00:30:31,000 --> 00:30:32,880
Speaker 1: is like the thing that I couldn't afford as a

532
00:30:32,960 --> 00:30:34,680
Speaker 1: kid that now I have my own money. I'm like, well,

533
00:30:34,760 --> 00:30:38,640
Speaker 1: now have you seen my dog collection? My sneaker. But

534
00:30:39,160 --> 00:30:42,240
Speaker 1: even like with other stuff like like playing like Legos

535
00:30:42,320 --> 00:30:43,520
Speaker 1: and ship, I was like, man, I need to buy

536
00:30:43,560 --> 00:30:46,080
Speaker 1: some fucking Legos. I fucking love legos. I don't know

537
00:30:46,200 --> 00:30:48,280
Speaker 1: the only reason I'm not playing with them is because

538
00:30:48,280 --> 00:30:50,720
Speaker 1: I'm like, I've told myself I'm too old. But every

539
00:30:50,760 --> 00:30:52,360
Speaker 1: time I'm with my nieces or nephews, I'm like, I

540
00:30:52,440 --> 00:30:55,720
Speaker 1: get the fucking legals out, legos out and get out

541
00:30:55,760 --> 00:30:59,360
Speaker 1: of my way. Yeah, like one of that piece, I'm like,

542
00:30:59,400 --> 00:31:00,840
Speaker 1: you don't know what you're doing with this. You can

543
00:31:00,920 --> 00:31:05,000
Speaker 1: barely use the technic set. Bring that glue gun over here. Yeah,

544
00:31:06,000 --> 00:31:08,760
Speaker 1: there's a like when I when I lived in New York,

545
00:31:08,840 --> 00:31:13,520
Speaker 1: there was a museum exhibit that like came through, Uh.

546
00:31:13,880 --> 00:31:17,560
Speaker 1: That was this woman, Francis Glessner Lee have you heard of?

547
00:31:17,960 --> 00:31:22,640
Speaker 1: She like lived from eighteen seventy eight to nineteen sixty two,

548
00:31:23,120 --> 00:31:27,440
Speaker 1: and like was just obsessed with creating like murder scenes,

549
00:31:27,680 --> 00:31:33,520
Speaker 1: like recreating real murder scenes with miniatures. Like It's just

550
00:31:34,400 --> 00:31:36,400
Speaker 1: it was wild because it was like, oh, this is

551
00:31:36,560 --> 00:31:39,080
Speaker 1: just like somebody's weird obsession. But it just like kind

552
00:31:39,120 --> 00:31:41,200
Speaker 1: of comes in and out of relevance, and like some

553
00:31:41,480 --> 00:31:44,640
Speaker 1: people are just like really funk with it. Oh yeah, yeah,

554
00:31:44,800 --> 00:31:47,280
Speaker 1: I highly recommend if anybody has a chance to look

555
00:31:47,360 --> 00:31:51,160
Speaker 1: at you know, I'm just I fucking love. I think

556
00:31:51,400 --> 00:31:53,760
Speaker 1: reason too is I remember seeing model sets as a

557
00:31:53,840 --> 00:31:56,240
Speaker 1: kid and being so wild. I'm like, I'll never have

558
00:31:56,360 --> 00:31:58,920
Speaker 1: the patience to make a like a scene like this

559
00:31:59,120 --> 00:32:01,240
Speaker 1: using miniatures, But I love to look at it because

560
00:32:01,280 --> 00:32:03,960
Speaker 1: it's so clear, like how difficult it is to make it.

561
00:32:04,600 --> 00:32:07,760
Speaker 1: So I don't know there's an energetic exchange when you

562
00:32:07,840 --> 00:32:10,640
Speaker 1: look upon miniatures. Although I was terrible making dioramas and

563
00:32:10,680 --> 00:32:14,760
Speaker 1: that ship was terrible for me. That ship was terrible,

564
00:32:17,160 --> 00:32:20,440
Speaker 1: just trailing off. I think very specifically, I had to

565
00:32:20,560 --> 00:32:23,720
Speaker 1: make a like a representation of Giza in Egypt. I

566
00:32:23,880 --> 00:32:26,840
Speaker 1: fucking ripped up a shoe box in the middle of

567
00:32:26,880 --> 00:32:30,200
Speaker 1: it because my pyramids were not looking right. I fucking oh,

568
00:32:30,880 --> 00:32:33,440
Speaker 1: I like stole sand from the sandbox at my school

569
00:32:33,440 --> 00:32:35,080
Speaker 1: because I'm like, I'm gonna glue that to the bottom

570
00:32:35,120 --> 00:32:37,880
Speaker 1: because it's a desert. Didn't know you know how to

571
00:32:37,960 --> 00:32:40,800
Speaker 1: properly put sand in a fucking dioramas to just look

572
00:32:40,880 --> 00:32:44,239
Speaker 1: like dusty and ship. And I'm sorry, this a lot.

573
00:32:46,080 --> 00:32:48,440
Speaker 1: Let's take a let's take a break. It'll it'll sound

574
00:32:48,520 --> 00:32:50,480
Speaker 1: like just a brief break to the listener. It'll probably

575
00:32:50,480 --> 00:32:52,200
Speaker 1: be about a half hour while we worked through this

576
00:32:52,320 --> 00:32:54,600
Speaker 1: with Miles uh, and then when we come back, we're

577
00:32:54,640 --> 00:32:56,880
Speaker 1: gonna talk about truckers. And I didn't have my mom

578
00:32:57,000 --> 00:33:00,480
Speaker 1: help me. That's the fucking difference. These other the fuckers

579
00:33:00,520 --> 00:33:02,240
Speaker 1: came in with the glue gun ship. There's no glue

580
00:33:02,280 --> 00:33:09,120
Speaker 1: gun trail, motherfucker glue gun fucking liars. Follow the glue gun,

581
00:33:09,680 --> 00:33:18,280
Speaker 1: follow the straight to your mother's bedroom. It's funny. My

582
00:33:18,320 --> 00:33:20,360
Speaker 1: mom would always say that because when I ripped mine up,

583
00:33:20,400 --> 00:33:22,520
Speaker 1: I was in tears. She's like, but that's good. All

584
00:33:22,600 --> 00:33:25,440
Speaker 1: these other American children they rely on their parents to

585
00:33:25,520 --> 00:33:27,920
Speaker 1: do their work, and you're doing it on your own.

586
00:33:27,960 --> 00:33:29,800
Speaker 1: I was like, but you can't help. But I was like, Mom,

587
00:33:29,840 --> 00:33:31,440
Speaker 1: you help me put my stickers. And she's like, you

588
00:33:31,480 --> 00:33:34,040
Speaker 1: will not be weak like these other motherfucker's. I'm like,

589
00:33:36,000 --> 00:33:39,160
Speaker 1: my parents, my friends never did projects for me. Hell no,

590
00:33:39,400 --> 00:33:42,200
Speaker 1: that was fucking That was so foreign to me. When

591
00:33:42,240 --> 00:33:44,320
Speaker 1: I saw somebody they were like, you're my mom help

592
00:33:44,360 --> 00:33:46,360
Speaker 1: me doing Like I know, your mom fucking help you.

593
00:33:46,440 --> 00:33:49,040
Speaker 1: This so clear that somebody had nothing to do helped

594
00:33:49,080 --> 00:33:51,840
Speaker 1: you do this ship with adult hands. Yeah, this dude

595
00:33:51,880 --> 00:33:53,880
Speaker 1: did his dad did his whole thing. He did a

596
00:33:53,960 --> 00:33:58,400
Speaker 1: fiber optics thing. And he's a giant too. He didn't

597
00:33:58,440 --> 00:34:01,360
Speaker 1: even really know how it worked. Was just like, oh,

598
00:34:01,520 --> 00:34:03,200
Speaker 1: you shine a light on this end and then you'll

599
00:34:03,200 --> 00:34:04,960
Speaker 1: see a light on the other end. And I was like, yeah,

600
00:34:05,000 --> 00:34:09,279
Speaker 1: that's how light works. And then you couldn't even really

601
00:34:09,320 --> 00:34:11,080
Speaker 1: see the light. I was just like, what is this?

602
00:34:11,280 --> 00:34:13,920
Speaker 1: And I was like just standing next to him, just

603
00:34:13,960 --> 00:34:15,600
Speaker 1: stand next to him with a flashlight, be like I

604
00:34:15,719 --> 00:34:17,960
Speaker 1: just did the same ship and it was a lot easier.

605
00:34:18,080 --> 00:34:20,040
Speaker 1: See you can see the light right and I'm just

606
00:34:20,120 --> 00:34:22,640
Speaker 1: turning it on and on. He couldn't even say what

607
00:34:22,719 --> 00:34:25,120
Speaker 1: it was. It's like, what is your problem? Fiber optics?

608
00:34:25,200 --> 00:34:31,640
Speaker 1: You know it's real quick? Yeah, speaker, go ahead, go ahead, Elon.

609
00:34:31,760 --> 00:34:35,200
Speaker 1: Let him know you. Emerald's in your pockets to the motherfucker.

610
00:34:35,239 --> 00:34:37,839
Speaker 1: Come up off the emeralds real quick. From helping your

611
00:34:37,840 --> 00:34:42,240
Speaker 1: projects and ship, paying for a snack before school with emeralds,

612
00:34:42,600 --> 00:34:47,800
Speaker 1: Like do you have changed for an emerald? Change for

613
00:34:47,920 --> 00:34:52,400
Speaker 1: an emerald? Someone needs to do a project on like

614
00:34:52,920 --> 00:34:56,239
Speaker 1: boy genius Elon Musk And he's just a rich kid

615
00:34:56,360 --> 00:34:59,359
Speaker 1: who just like pushes people around with emeralds. All right,

616
00:34:59,760 --> 00:35:02,480
Speaker 1: I I think it's gonna be incumbent on every comedian

617
00:35:02,520 --> 00:35:04,400
Speaker 1: to have a pet project that tries to get you

618
00:35:04,520 --> 00:35:07,160
Speaker 1: banned from Twitter because you're coming straight for Elon Musk's neck.

619
00:35:07,880 --> 00:35:17,200
Speaker 1: All right, well, we've been back for like five minutes now,

620
00:35:17,520 --> 00:35:20,640
Speaker 1: but we have not talked. We have not yet started

621
00:35:20,719 --> 00:35:25,080
Speaker 1: talking about the number one story of the day. Um,

622
00:35:25,360 --> 00:35:31,960
Speaker 1: the trucker convoy has decided to liberate Oakland, and Oakland said,

623
00:35:32,200 --> 00:35:34,960
Speaker 1: get the funk out of here. They said, do you

624
00:35:35,160 --> 00:35:40,719
Speaker 1: know where the fuck you are? Um, So the trucker convoy,

625
00:35:41,040 --> 00:35:44,680
Speaker 1: I didn't know that they had continued to convoy it

626
00:35:44,880 --> 00:35:47,160
Speaker 1: up because they were just like, all right, that was

627
00:35:47,239 --> 00:35:50,280
Speaker 1: an l and d C. Let's his head back drove across.

628
00:35:50,760 --> 00:35:53,480
Speaker 1: Not much going on. And now they're back in California

629
00:35:53,520 --> 00:35:55,600
Speaker 1: because it started in California and then picked up all

630
00:35:55,640 --> 00:35:58,120
Speaker 1: of the detritus along the way to d C. And

631
00:35:58,840 --> 00:36:02,160
Speaker 1: now they're back and you know, proven once again that

632
00:36:02,280 --> 00:36:05,840
Speaker 1: American self victimization is one of the saddest sites to behold.

633
00:36:06,280 --> 00:36:08,799
Speaker 1: And they've made Okay, So now that in California they

634
00:36:08,840 --> 00:36:11,080
Speaker 1: got a new tactic. It's because there's not no real

635
00:36:11,280 --> 00:36:13,799
Speaker 1: vaccine mandates and shipped to push back on. So now

636
00:36:13,880 --> 00:36:17,400
Speaker 1: it's just stuff like driving to politicians houses and honking

637
00:36:17,480 --> 00:36:20,839
Speaker 1: their horns because they don't agree with someone who thinks

638
00:36:20,880 --> 00:36:24,560
Speaker 1: Americans deserve body autonomy. So they're like, yeah, that's good,

639
00:36:24,680 --> 00:36:27,839
Speaker 1: that's a winning project. This person wants to make contraception

640
00:36:27,880 --> 00:36:31,320
Speaker 1: available to people. Fuck yeah, let's just go to their neighborhood.

641
00:36:31,360 --> 00:36:34,480
Speaker 1: So what happens is on Friday, they were taking a

642
00:36:34,520 --> 00:36:36,880
Speaker 1: little trip there in through the Bay Area and they

643
00:36:36,960 --> 00:36:40,520
Speaker 1: decided to go to Oakland. Okay um. And I guess

644
00:36:40,560 --> 00:36:44,120
Speaker 1: they never heard of Oakland or the Bay Area because

645
00:36:44,520 --> 00:36:46,960
Speaker 1: they drew there. They drove through there with the fucking

646
00:36:47,160 --> 00:36:50,000
Speaker 1: energy of liberators, Like they were like waving out the

647
00:36:50,160 --> 00:36:53,800
Speaker 1: car with like they're like, you can take the mask off, hooray,

648
00:36:53,880 --> 00:36:57,560
Speaker 1: And people were like flicking them off, screaming shout I've

649
00:36:57,600 --> 00:37:01,280
Speaker 1: never even heard before. And they've found out very quickly.

650
00:37:01,400 --> 00:37:05,880
Speaker 1: They were, in fact driving through the Oakland Berkeley border. Okay,

651
00:37:06,040 --> 00:37:09,520
Speaker 1: I can't think of a blue er fucking spot to

652
00:37:09,640 --> 00:37:15,040
Speaker 1: be uh in California. Then the border of Oakland and Berkeley. Uh.

653
00:37:15,160 --> 00:37:18,520
Speaker 1: And they drive through. Look, this is the other thing, right,

654
00:37:18,880 --> 00:37:21,839
Speaker 1: like the Bay Area. I thought like conservatives knew better,

655
00:37:21,960 --> 00:37:24,160
Speaker 1: Like I thought that was more door to them where

656
00:37:24,200 --> 00:37:26,719
Speaker 1: they're like, we cannot go in there, funk, we can't

657
00:37:26,760 --> 00:37:29,560
Speaker 1: go in there, fucking lacking, because these people do not

658
00:37:29,680 --> 00:37:31,080
Speaker 1: want to hear what the funk we have to say.

659
00:37:31,400 --> 00:37:34,400
Speaker 1: In fact, it's the antithesis of everything we believe. So

660
00:37:34,520 --> 00:37:36,759
Speaker 1: as they creep through the streets, they were met with

661
00:37:36,880 --> 00:37:40,400
Speaker 1: a ton of eggs being thrown, and like clockwork, it

662
00:37:40,480 --> 00:37:43,000
Speaker 1: seemed like shopkeepers just came out with like flats of

663
00:37:43,080 --> 00:37:44,880
Speaker 1: eggs too, like people on street that I'm like, yeah, man,

664
00:37:44,920 --> 00:37:47,640
Speaker 1: go ahead, I got some eggs. Go ahead, do your thing.

665
00:37:48,400 --> 00:37:51,240
Speaker 1: These trucks up and then like some kind of epic

666
00:37:51,360 --> 00:37:53,560
Speaker 1: Game of Throne scene, then like like a bunch of

667
00:37:53,600 --> 00:37:55,680
Speaker 1: people showed up out of nowhere, like as I call it,

668
00:37:55,760 --> 00:37:58,920
Speaker 1: the King's Battalion of angry zoomer kids showed up like

669
00:37:59,640 --> 00:38:02,560
Speaker 1: like just throwing their fucking eggs and turned it up

670
00:38:02,600 --> 00:38:05,080
Speaker 1: another notch. And I just want to I want to

671
00:38:05,080 --> 00:38:06,960
Speaker 1: play this one clip right because there was this one

672
00:38:07,080 --> 00:38:10,520
Speaker 1: old guy who clearly has never been around teens or

673
00:38:10,680 --> 00:38:13,239
Speaker 1: teens of color for that matter, who just got out

674
00:38:13,320 --> 00:38:17,120
Speaker 1: of school. Because that's an energy. Look as a millennial,

675
00:38:17,160 --> 00:38:18,800
Speaker 1: I'm like, now these kids are gonna fucking roast me

676
00:38:18,960 --> 00:38:20,440
Speaker 1: if I say some ship I don't eve wanna make

677
00:38:20,600 --> 00:38:23,799
Speaker 1: icons like I'm not ready for their their wit their witticisms.

678
00:38:24,320 --> 00:38:27,719
Speaker 1: This guy fucking taunted them to throw an egg and

679
00:38:27,840 --> 00:38:31,560
Speaker 1: guess what the kids did? They obliged. Here, I'll play

680
00:38:31,600 --> 00:38:33,920
Speaker 1: the audio just so you can see, uh, just the

681
00:38:34,000 --> 00:38:51,040
Speaker 1: intensity of this just fantastic moment in disbelief that these

682
00:38:51,120 --> 00:39:04,600
Speaker 1: kids is rocked them with an egg, Like he gets out,

683
00:39:05,120 --> 00:39:08,560
Speaker 1: what are you gonna do up? Seventy teenagers? And he

684
00:39:09,800 --> 00:39:12,640
Speaker 1: gets back in his mud soaked truck and then he's like,

685
00:39:12,800 --> 00:39:18,080
Speaker 1: you're the coward. So did you get the laughter of

686
00:39:18,160 --> 00:39:21,960
Speaker 1: those children? The laughter of like I don't respect you

687
00:39:22,239 --> 00:39:27,960
Speaker 1: or anything. You feel it in your soul and the

688
00:39:28,320 --> 00:39:31,840
Speaker 1: the like the responses from the truckers. It really reveals

689
00:39:31,960 --> 00:39:36,520
Speaker 1: like this savior behavior mentality, that there's victimization just like

690
00:39:37,400 --> 00:39:42,200
Speaker 1: like this was this was our nine eleven. They called

691
00:39:42,239 --> 00:39:44,920
Speaker 1: the police. They called the police, you know they they

692
00:39:45,120 --> 00:39:48,400
Speaker 1: there's this U image that you pulled of them, like

693
00:39:49,400 --> 00:39:52,239
Speaker 1: talking about it on what is it on? I think

694
00:39:52,239 --> 00:39:56,600
Speaker 1: it's from their telegram channel telegram Okay, damn. The needs

695
00:39:56,640 --> 00:39:58,560
Speaker 1: to tell them they'll be allowed back on Twitter. So

696
00:39:58,760 --> 00:40:01,480
Speaker 1: but they're saying, how was it that the flats of

697
00:40:01,560 --> 00:40:04,279
Speaker 1: eggs just happened to be How convenient was it that

698
00:40:04,360 --> 00:40:06,800
Speaker 1: the flats of eggs just happened to be there? Like

699
00:40:07,520 --> 00:40:12,440
Speaker 1: they think there is a conspiracy that involves people laying

700
00:40:12,520 --> 00:40:18,319
Speaker 1: out flats of eggs uprising those bricks doing their type,

701
00:40:18,840 --> 00:40:21,960
Speaker 1: except except that one seemed a little bit more. But like,

702
00:40:22,160 --> 00:40:24,320
Speaker 1: there's not an active construction site here. Looks like you

703
00:40:24,440 --> 00:40:26,320
Speaker 1: left a lot of plate toys for angry people to

704
00:40:26,360 --> 00:40:29,640
Speaker 1: work with. Yeah, that's that is the nerve of like

705
00:40:30,239 --> 00:40:32,560
Speaker 1: things that if anyone was doing that, they were trying

706
00:40:32,640 --> 00:40:35,239
Speaker 1: to protect you from getting the ship kicked out of

707
00:40:35,320 --> 00:40:38,680
Speaker 1: you by like giving them something more fun to throw

708
00:40:38,719 --> 00:40:41,480
Speaker 1: at you. That we're just like brewing your fucking paint job.

709
00:40:42,160 --> 00:40:44,760
Speaker 1: You got off easy with those eggs. This is Berkeley.

710
00:40:44,800 --> 00:40:48,040
Speaker 1: You could get throw a wayward kamboocha bottle and those

711
00:40:48,080 --> 00:40:51,279
Speaker 1: are not easy to catch. Exactly. What if somebody hits

712
00:40:51,320 --> 00:40:55,799
Speaker 1: with their hydro flask. That's a fucking brick right there,

713
00:40:57,000 --> 00:40:59,960
Speaker 1: and you're not really going into like Oakland, Oakland. You're

714
00:41:00,040 --> 00:41:03,040
Speaker 1: lucky you were on the border at Berkeley. Okay, Um,

715
00:41:03,400 --> 00:41:05,319
Speaker 1: But yeah, it's just like the other things that we're

716
00:41:05,320 --> 00:41:09,959
Speaker 1: saying that people were saying, like, uh uh that can't

717
00:41:09,960 --> 00:41:12,760
Speaker 1: we put these people like can send them off to China?

718
00:41:13,040 --> 00:41:15,600
Speaker 1: Like send these leftists soft to China? Other person, this

719
00:41:15,800 --> 00:41:19,240
Speaker 1: boils my blood that these people aren't worth even being saved.

720
00:41:19,520 --> 00:41:22,920
Speaker 1: It's a shame that they hold normal Californians hostage to

721
00:41:23,040 --> 00:41:26,440
Speaker 1: this culture. These people are literally insane. Some should be

722
00:41:26,560 --> 00:41:28,800
Speaker 1: charged with a salt but the lame d A s

723
00:41:28,800 --> 00:41:33,000
Speaker 1: wouldn't do anything anyway. Uh huh. Nobody asked you to

724
00:41:33,040 --> 00:41:37,319
Speaker 1: come here. We're doing fine. These strange people who don't

725
00:41:37,400 --> 00:41:42,240
Speaker 1: like people driving down their streets with massive trucks blaring

726
00:41:42,320 --> 00:41:46,960
Speaker 1: their horns at all hours and saying you basically to you, Yeah,

727
00:41:47,320 --> 00:41:49,799
Speaker 1: they didn't like that, Yeah, saying that we don't think

728
00:41:49,840 --> 00:41:52,640
Speaker 1: you should be able to, you know, have what you

729
00:41:52,760 --> 00:41:56,239
Speaker 1: want or have bodily autonomy. That's yeah, what is wrong

730
00:41:56,280 --> 00:41:58,480
Speaker 1: with those people? I don't know. And again this is

731
00:41:58,640 --> 00:42:00,560
Speaker 1: like they said, they called the cops, and the cops

732
00:42:00,600 --> 00:42:02,360
Speaker 1: say we don't get it. They're like, already deal with it.

733
00:42:02,480 --> 00:42:05,440
Speaker 1: Then they basically we're like, we're not coming out there,

734
00:42:05,920 --> 00:42:08,560
Speaker 1: so you're not supposed to be there. Yeah, right, there, like,

735
00:42:08,680 --> 00:42:11,239
Speaker 1: I'm sorry, you do you know about our rep even

736
00:42:11,440 --> 00:42:14,879
Speaker 1: like we barely go out for anything, so we would

737
00:42:14,960 --> 00:42:18,080
Speaker 1: help you right now. No, we're good. We've been claiming

738
00:42:18,160 --> 00:42:25,840
Speaker 1: we were defunded since before convoy man man cuts both ways.

739
00:42:26,000 --> 00:42:27,680
Speaker 1: That's the shitty part, you know what I mean. So

740
00:42:28,000 --> 00:42:31,160
Speaker 1: eat them eggs, eat them up. It is just that

741
00:42:31,280 --> 00:42:34,320
Speaker 1: same ship that you see though, like where um, like

742
00:42:34,520 --> 00:42:39,400
Speaker 1: during early part of the Trump administration with liberals being like,

743
00:42:40,080 --> 00:42:43,840
Speaker 1: we just need to go to red uh states and

744
00:42:44,040 --> 00:42:47,319
Speaker 1: like tell people the truth about Trump. Like it's it's

745
00:42:47,400 --> 00:42:52,320
Speaker 1: just a you know, function of these like algorithmically generated

746
00:42:52,440 --> 00:42:55,600
Speaker 1: social media bubbles where they think everybody agrees with them

747
00:42:55,680 --> 00:42:59,200
Speaker 1: except for the person directly in front of them throwing

748
00:42:59,239 --> 00:43:02,760
Speaker 1: an egg at their face. Right, if you're that interested

749
00:43:02,800 --> 00:43:05,239
Speaker 1: in changing hearts and minds, you can go about it

750
00:43:05,280 --> 00:43:07,000
Speaker 1: in a way that puts a little more thought than

751
00:43:07,080 --> 00:43:09,440
Speaker 1: being like I will invade their physical space and scream.

752
00:43:10,920 --> 00:43:13,319
Speaker 1: And because it's funny because even like most people who

753
00:43:13,360 --> 00:43:16,120
Speaker 1: are progressive, liberal or whatever, they'll look at an area

754
00:43:16,120 --> 00:43:18,239
Speaker 1: and be like, I don't know if I need to

755
00:43:18,280 --> 00:43:21,000
Speaker 1: be over there, you know what I mean, But like

756
00:43:21,160 --> 00:43:24,520
Speaker 1: these people are so hopped up on their like American exceptionalism.

757
00:43:24,960 --> 00:43:27,840
Speaker 1: They really think they're gonna pull up to like the

758
00:43:27,960 --> 00:43:31,080
Speaker 1: Berkeley Oakland border area and like or just anywhere in

759
00:43:31,160 --> 00:43:34,360
Speaker 1: California that's like a very blue community and think that

760
00:43:34,520 --> 00:43:37,560
Speaker 1: suddenly that people are going to respond a certain way.

761
00:43:37,640 --> 00:43:39,719
Speaker 1: At the very least, no one's gonna agree with you.

762
00:43:40,200 --> 00:43:43,440
Speaker 1: Now what happens beyond that terms and conditions apply to

763
00:43:43,480 --> 00:43:47,960
Speaker 1: the area. It's like a political missionary. It seems like

764
00:43:49,200 --> 00:43:52,960
Speaker 1: like a nobody wants you here, right, It's like they

765
00:43:53,000 --> 00:43:55,800
Speaker 1: don't open the door for the damn Seventh Day in

766
00:43:55,880 --> 00:43:59,360
Speaker 1: Venice or Jehovah witnesses or whoever, and they're my neighbors

767
00:44:00,000 --> 00:44:02,440
Speaker 1: exactly makes you think we want to hear you driving

768
00:44:02,480 --> 00:44:04,600
Speaker 1: down the street honking your horn, and then I want

769
00:44:04,600 --> 00:44:06,800
Speaker 1: to hear you out. Yeah, it has big energy of

770
00:44:06,920 --> 00:44:11,040
Speaker 1: like that that one Christian missionary who's like this, this

771
00:44:11,200 --> 00:44:14,279
Speaker 1: tribe has never been contacted by outside cultures, and this

772
00:44:14,360 --> 00:44:18,000
Speaker 1: guy's like, this is a perfect opportunity for Christ's salvation. Uh.

773
00:44:18,080 --> 00:44:21,399
Speaker 1: Cut to that person has vanished and was never seen again. Yeah,

774
00:44:21,960 --> 00:44:24,480
Speaker 1: you know, it's like that's you. You at a certain point,

775
00:44:24,520 --> 00:44:26,799
Speaker 1: you have to you gotta get out of your own

776
00:44:26,880 --> 00:44:29,800
Speaker 1: headspace and actually be like, what does this look like

777
00:44:29,880 --> 00:44:32,160
Speaker 1: to someone else? But again that's a that's a bridge

778
00:44:32,160 --> 00:44:34,360
Speaker 1: too far for people who are already like you know,

779
00:44:34,520 --> 00:44:37,400
Speaker 1: caught up in this well when you ignore the warning shots,

780
00:44:38,200 --> 00:44:40,479
Speaker 1: like they always will send you a warning shot, didn't

781
00:44:40,520 --> 00:44:43,040
Speaker 1: those people like shoot an arrow through his Bible the

782
00:44:43,120 --> 00:44:45,799
Speaker 1: day before? Yeah, write something wild like that, and then

783
00:44:46,280 --> 00:44:49,279
Speaker 1: he's like, actually, will bring another Bible. Okay, Okay, maybe

784
00:44:49,320 --> 00:44:51,040
Speaker 1: they didn't like the color of that one. I'll bring

785
00:44:51,120 --> 00:44:57,160
Speaker 1: my St. James edition. Okay, I get it. You didn't

786
00:44:57,160 --> 00:45:01,000
Speaker 1: like a Protestant Bible. Okay, I got the message loud

787
00:45:01,080 --> 00:45:04,360
Speaker 1: and clear. We don't need another great schism happening between

788
00:45:04,520 --> 00:45:06,960
Speaker 1: us folks. Am I right? Anyway? I brought the message

789
00:45:07,000 --> 00:45:13,600
Speaker 1: Bible this time exactly Christ's Christ's Gospel for kids. All right,

790
00:45:13,680 --> 00:45:15,680
Speaker 1: let's take it in another quick break. We'll come right

791
00:45:15,719 --> 00:45:27,080
Speaker 1: back and talk about the American addiction to growth. And

792
00:45:27,520 --> 00:45:32,040
Speaker 1: we're back, um and yeah, let's talk to C N M. Plus.

793
00:45:32,120 --> 00:45:34,919
Speaker 1: I mean we mentioned that it failed in record time.

794
00:45:35,840 --> 00:45:40,359
Speaker 1: The you know, the the mainstream sort of digested version

795
00:45:40,400 --> 00:45:43,480
Speaker 1: of this story seems to be like they fucked up.

796
00:45:43,719 --> 00:45:46,520
Speaker 1: They didn't know what they were doing. This was a

797
00:45:46,680 --> 00:45:49,399
Speaker 1: catastrophic failure, which I mean, I think all those things

798
00:45:49,520 --> 00:45:52,120
Speaker 1: things are true. But the thing that seems the most

799
00:45:52,360 --> 00:45:55,960
Speaker 1: noteworthy to me about it is how quickly they gave

800
00:45:56,080 --> 00:46:00,440
Speaker 1: up on this, like it was. It was weeks later. Um,

801
00:46:01,400 --> 00:46:04,960
Speaker 1: you know, into their their brilliant plan to just stick

802
00:46:05,000 --> 00:46:07,480
Speaker 1: a plus sign next to your corporate name and make

803
00:46:07,520 --> 00:46:11,120
Speaker 1: a streaming service, which seems to the like, well, it

804
00:46:11,200 --> 00:46:15,879
Speaker 1: worked for other people, so let's give that a show. Um,

805
00:46:16,640 --> 00:46:19,360
Speaker 1: so this was I thought it was an app, but

806
00:46:19,480 --> 00:46:22,680
Speaker 1: it's a streaming service. It's like a Netflix. But they

807
00:46:22,760 --> 00:46:25,239
Speaker 1: thought that they had enough. See Maggie, that's how good

808
00:46:25,280 --> 00:46:27,160
Speaker 1: the marketing was. You didn't even know what the funk

809
00:46:27,200 --> 00:46:33,120
Speaker 1: it was. There's a straight up streaming service. They just

810
00:46:33,200 --> 00:46:35,680
Speaker 1: pay wall to a bunch of content that nobody wanted,

811
00:46:36,160 --> 00:46:39,160
Speaker 1: that no one wanted. It lasted less than a sixth

812
00:46:39,280 --> 00:46:43,839
Speaker 1: of Quimby's time on this earth. Oh come on, don't, don't, don't,

813
00:46:44,000 --> 00:46:49,080
Speaker 1: don't bring Quimby's name in vain. They'd already spent between

814
00:46:49,120 --> 00:46:51,880
Speaker 1: a hundred and three hundred million dollars on the failed project.

815
00:46:52,040 --> 00:46:56,160
Speaker 1: I'm guessing towards the three hundred side of that. Equations.

816
00:46:57,280 --> 00:47:03,560
Speaker 1: Those are probably self um of reported numbers. But yeah,

817
00:47:03,640 --> 00:47:06,359
Speaker 1: I mean they tried. They tried to bring a bunch

818
00:47:06,400 --> 00:47:10,399
Speaker 1: of original shows and movies, hired hundreds of people, many

819
00:47:10,480 --> 00:47:14,280
Speaker 1: of whom will now be laid off, presumably um, including

820
00:47:14,440 --> 00:47:18,359
Speaker 1: Chris Wallace who they brought over from Fox News, Ava Longoria,

821
00:47:18,640 --> 00:47:23,239
Speaker 1: former NPR host Audie Cornish whose show hadn't even debuted yet.

822
00:47:23,880 --> 00:47:28,480
Speaker 1: Um Hunt, remember Casey Hunt. She's like, I'm leaving MSNBC

823
00:47:29,120 --> 00:47:33,400
Speaker 1: for a very fantastic opportunity at CNN Plus. Yeah. And

824
00:47:33,560 --> 00:47:36,800
Speaker 1: that was like and they like, I mean, this is

825
00:47:36,880 --> 00:47:40,200
Speaker 1: not abnormal in the world of television, but they just

826
00:47:40,320 --> 00:47:44,320
Speaker 1: straight up copied like Fox Fox News is format, like

827
00:47:45,000 --> 00:47:50,359
Speaker 1: they so their Fox has the what's Foxes streaming thing?

828
00:47:50,440 --> 00:47:54,280
Speaker 1: It's not Fox Plus, it's like Fox Fox Nation whatever.

829
00:47:54,520 --> 00:47:57,560
Speaker 1: Making Freedom need to get the name accurate, but yet

830
00:47:57,920 --> 00:48:02,399
Speaker 1: the stream and freed and uh there. So they had

831
00:48:02,480 --> 00:48:06,080
Speaker 1: Dana Perino's book Club, which is something that we all wanna,

832
00:48:06,600 --> 00:48:10,120
Speaker 1: you know, find out what what are they reading? But

833
00:48:11,040 --> 00:48:17,839
Speaker 1: so they brought Jake Tapper's book club. Um and they Yeah,

834
00:48:17,960 --> 00:48:21,279
Speaker 1: so they shut it down so quickly. I think it's

835
00:48:21,520 --> 00:48:26,360
Speaker 1: almost definitely because uh it was conceived by Jeff Zucker,

836
00:48:26,920 --> 00:48:29,600
Speaker 1: who was just forced to resign. And it just feels

837
00:48:29,680 --> 00:48:32,840
Speaker 1: like as much as yet, it's fun to point and

838
00:48:32,920 --> 00:48:34,719
Speaker 1: laugh at Siena. And it sucks that all these people

839
00:48:34,800 --> 00:48:39,600
Speaker 1: lost their job. Uh. And it's also just a yet

840
00:48:39,640 --> 00:48:43,080
Speaker 1: another example of a bunch of people losing their job

841
00:48:43,160 --> 00:48:46,160
Speaker 1: because of a decision made by someone who's probably like

842
00:48:46,320 --> 00:48:50,960
Speaker 1: conservatively thirty layers of executives removed from the people who

843
00:48:51,040 --> 00:48:55,440
Speaker 1: are actually losing their jobs. Um. And it's also you know,

844
00:48:55,800 --> 00:48:59,760
Speaker 1: you can't just be the thing you are in modern

845
00:49:00,000 --> 00:49:03,320
Speaker 1: capitalism because Wall Street is just like, well that's boring,

846
00:49:03,760 --> 00:49:07,680
Speaker 1: so you you won't show growth and we we got

847
00:49:07,800 --> 00:49:12,680
Speaker 1: to see the line go up. Um And yeah, it's

848
00:49:12,800 --> 00:49:17,319
Speaker 1: just and so they convince you to constantly be trying

849
00:49:17,400 --> 00:49:22,239
Speaker 1: to grow and be something that you are not in. Yeah,

850
00:49:22,360 --> 00:49:25,120
Speaker 1: that greed is really transparent here. It's it's just like

851
00:49:25,680 --> 00:49:28,400
Speaker 1: we're not going to actually put a thought into this.

852
00:49:28,600 --> 00:49:30,920
Speaker 1: It's more it sounds like this boardroom thing of like, well,

853
00:49:31,000 --> 00:49:32,920
Speaker 1: we need to keep up, like what's our product that

854
00:49:33,040 --> 00:49:36,120
Speaker 1: we can get to market to open up another revenue

855
00:49:36,200 --> 00:49:38,920
Speaker 1: stream without actually thinking of how that's going to be received.

856
00:49:38,960 --> 00:49:41,200
Speaker 1: You're just basically doing this thing like, well, people like

857
00:49:41,320 --> 00:49:43,440
Speaker 1: Jake Tapper, what if they had to pay six bucks

858
00:49:43,440 --> 00:49:45,239
Speaker 1: a month to hear about a fucking book he didn't

859
00:49:45,239 --> 00:49:48,759
Speaker 1: even read. People don't give a funk enough about Jake

860
00:49:48,840 --> 00:49:50,600
Speaker 1: Tapper to do that, like a lot of this ship

861
00:49:50,680 --> 00:49:52,440
Speaker 1: that they put behind a pay well like and we

862
00:49:52,560 --> 00:49:55,160
Speaker 1: talked about this too, just in our experiences in digital media,

863
00:49:55,160 --> 00:49:58,879
Speaker 1: whether it's podcasting or video. At a basic level, most

864
00:49:58,880 --> 00:50:01,319
Speaker 1: people who are making the content, No is somebody gonna

865
00:50:01,840 --> 00:50:05,480
Speaker 1: like overcome a paywall to come get this content right

866
00:50:06,480 --> 00:50:08,960
Speaker 1: most of the time, not unless you have something really good.

867
00:50:09,600 --> 00:50:12,480
Speaker 1: You see that. What I think is this CNN Plus

868
00:50:12,600 --> 00:50:17,560
Speaker 1: was somebody's pet project because they had maybe it's somebody's

869
00:50:17,680 --> 00:50:20,839
Speaker 1: kid or whoever, who's like, you know, what CNN really

870
00:50:20,880 --> 00:50:24,960
Speaker 1: needs to do is get into like political sitcoms or

871
00:50:25,120 --> 00:50:27,840
Speaker 1: left leaning sitcoms. There need to be some kind of

872
00:50:28,360 --> 00:50:30,960
Speaker 1: political show that people watch and it would be hilarious,

873
00:50:31,040 --> 00:50:34,280
Speaker 1: still make fun of Trump every other Like their idea

874
00:50:34,400 --> 00:50:37,440
Speaker 1: was we need this streaming platform. There have all these

875
00:50:37,480 --> 00:50:40,279
Speaker 1: little shows and stuff that are like CNNY, But then

876
00:50:40,320 --> 00:50:42,680
Speaker 1: they are going to be all of these new hard

877
00:50:42,760 --> 00:50:46,440
Speaker 1: hitting dramas and comedies that are politically leaned, and then

878
00:50:46,480 --> 00:50:49,359
Speaker 1: they quickly found out that people would rather saw their

879
00:50:49,400 --> 00:50:51,400
Speaker 1: toes off than watch such a well, I mean, if

880
00:50:51,440 --> 00:50:53,040
Speaker 1: only they even put the thought into being like what

881
00:50:53,160 --> 00:50:56,320
Speaker 1: about content? They're like, what about more news that anyone

882
00:50:56,440 --> 00:50:59,080
Speaker 1: can get for free if they just wanted to? But

883
00:50:59,280 --> 00:51:02,279
Speaker 1: we just call it Jake Tapper's you know sock hop.

884
00:51:03,360 --> 00:51:08,120
Speaker 1: Yeah yeah, check out Wolf Blitzer's favorite recipes. It's like,

885
00:51:08,520 --> 00:51:12,279
Speaker 1: I don't give a fuck. Like even like when you

886
00:51:12,360 --> 00:51:17,120
Speaker 1: look at like Patreon, when a when a show starts

887
00:51:17,160 --> 00:51:20,920
Speaker 1: on Patreon, it's always like very slow, steady growth. Like

888
00:51:21,040 --> 00:51:25,520
Speaker 1: that's something that I think they they I don't know,

889
00:51:25,600 --> 00:51:27,880
Speaker 1: they can't get their mind around like that. This is

890
00:51:27,960 --> 00:51:30,040
Speaker 1: the sort of thing that doesn't happen on wall streets

891
00:51:30,560 --> 00:51:35,160
Speaker 1: like timeline, right, but um, you know, this is the

892
00:51:35,200 --> 00:51:38,120
Speaker 1: sort of project that like I I when when I

893
00:51:39,000 --> 00:51:42,880
Speaker 1: my first media job was the ABC News and like

894
00:51:43,280 --> 00:51:46,239
Speaker 1: it was two thousands, like four, and they were like

895
00:51:46,440 --> 00:51:51,040
Speaker 1: starting something called like ABC News Go that was basically this,

896
00:51:51,640 --> 00:51:54,560
Speaker 1: you know, like their plus thing that was like uh,

897
00:51:54,920 --> 00:51:59,440
Speaker 1: you know, a digital online version of whatever they were

898
00:51:59,440 --> 00:52:01,840
Speaker 1: putting on t V. And it was a failure. But

899
00:52:01,920 --> 00:52:04,440
Speaker 1: it was also like where the people who are now

900
00:52:04,640 --> 00:52:07,279
Speaker 1: on the air like got their start, and it's like

901
00:52:07,440 --> 00:52:10,439
Speaker 1: you take the pieces of this thing that doesn't work

902
00:52:10,480 --> 00:52:13,080
Speaker 1: and you like build it into something else. But in

903
00:52:13,520 --> 00:52:17,360
Speaker 1: in this case, because it's a CEO, and because like

904
00:52:17,560 --> 00:52:22,120
Speaker 1: when you know, the CEO is primary like feedback is

905
00:52:22,239 --> 00:52:25,919
Speaker 1: coming from Wall Street. It's just like this narrative that's

906
00:52:25,920 --> 00:52:27,680
Speaker 1: happening at the top that has nothing to do with

907
00:52:27,760 --> 00:52:30,400
Speaker 1: the reality of what it's like to work there and

908
00:52:30,680 --> 00:52:34,359
Speaker 1: the product that's being created, um just get spun off

909
00:52:34,480 --> 00:52:37,000
Speaker 1: and like caused them to make these like big flashy

910
00:52:37,080 --> 00:52:40,840
Speaker 1: decisions to create headlines and it's like, do you just

911
00:52:40,960 --> 00:52:44,319
Speaker 1: like made your whole company look like ship? What are

912
00:52:44,360 --> 00:52:48,560
Speaker 1: you doing? Yeah? Hey man? That that that growth is

913
00:52:48,600 --> 00:52:52,080
Speaker 1: addiction because it's just like we're you know, I don't

914
00:52:52,120 --> 00:52:54,040
Speaker 1: know if we'll get to this story, but in general,

915
00:52:54,719 --> 00:52:57,880
Speaker 1: it's at a certain point. The solution is always just like, well,

916
00:52:57,880 --> 00:53:00,320
Speaker 1: we need to spend more money than we ever have

917
00:53:00,600 --> 00:53:04,279
Speaker 1: before to either differentiate to be like just so you know,

918
00:53:05,040 --> 00:53:07,840
Speaker 1: we're spending way more money than we should be on

919
00:53:07,960 --> 00:53:10,839
Speaker 1: a fucking hour piece of content over here, so maybe

920
00:53:10,920 --> 00:53:14,000
Speaker 1: that will be a draw without kind of getting to

921
00:53:14,080 --> 00:53:17,120
Speaker 1: the basics of like what makes people interested in in

922
00:53:17,239 --> 00:53:20,800
Speaker 1: a media platform or content? It's like, are you creating

923
00:53:20,920 --> 00:53:24,279
Speaker 1: something that is interesting to someone to take up? Don't

924
00:53:24,320 --> 00:53:26,720
Speaker 1: don't get into like how much they spending and who's

925
00:53:26,719 --> 00:53:28,560
Speaker 1: the who are the people involved? Are the name is

926
00:53:28,600 --> 00:53:31,759
Speaker 1: big enough? Like just just in general you know there.

927
00:53:32,080 --> 00:53:34,560
Speaker 1: But again I think because so much of the thinking

928
00:53:34,640 --> 00:53:37,640
Speaker 1: is around marketing and again like the growth, that there

929
00:53:37,719 --> 00:53:40,360
Speaker 1: can't be these moments like where you have you know,

930
00:53:40,840 --> 00:53:44,839
Speaker 1: sort of laser guided victories, were like, how about something

931
00:53:44,920 --> 00:53:47,399
Speaker 1: like this? How about we tell these stories rather than

932
00:53:47,640 --> 00:53:50,240
Speaker 1: how many names can we attached together? And then maybe

933
00:53:50,440 --> 00:53:51,960
Speaker 1: put a price tag on it and see, if I

934
00:53:52,000 --> 00:53:55,560
Speaker 1: don't know, maybe we can trick some people to buying it. Yeah,

935
00:53:55,640 --> 00:53:58,400
Speaker 1: when I was a crarect like you know, at a

936
00:53:58,480 --> 00:54:01,880
Speaker 1: time when it was like you know, five to ten people,

937
00:54:01,960 --> 00:54:03,960
Speaker 1: when we went to like five to from five to

938
00:54:04,080 --> 00:54:08,920
Speaker 1: ten people, like our traffic was like shooting up. And

939
00:54:09,480 --> 00:54:12,520
Speaker 1: that was bad because it got the attention of like

940
00:54:13,440 --> 00:54:17,520
Speaker 1: you know, people who had higher pay grades. And we're like,

941
00:54:17,640 --> 00:54:19,319
Speaker 1: how do we how do we tend X this man?

942
00:54:19,440 --> 00:54:23,600
Speaker 1: How do we how do we turn turn cracked into

943
00:54:23,800 --> 00:54:28,000
Speaker 1: the next Facebook? And it's like we fucking don't. And

944
00:54:30,360 --> 00:54:33,480
Speaker 1: at that point, like the you know, it was like

945
00:54:34,200 --> 00:54:37,360
Speaker 1: part of our part time job became saying no to

946
00:54:37,560 --> 00:54:41,560
Speaker 1: bad ideas from above because like that's that's what you

947
00:54:41,640 --> 00:54:43,439
Speaker 1: have to do to stay that sort of shut off.

948
00:54:43,680 --> 00:54:47,520
Speaker 1: Like that's just but that is that is always the

949
00:54:47,600 --> 00:54:51,880
Speaker 1: immediate instinct because they're trying to it's not enough to

950
00:54:51,960 --> 00:54:54,920
Speaker 1: have like a moderate success. They're trying to have a

951
00:54:55,680 --> 00:54:58,440
Speaker 1: you know, a thing that is going to make them

952
00:54:58,520 --> 00:55:02,680
Speaker 1: look like geniuses. I guess, right, Um, it's just an

953
00:55:02,760 --> 00:55:05,239
Speaker 1: odd you know, we're just always thinking it has to

954
00:55:05,320 --> 00:55:06,840
Speaker 1: be growth, has to be growth. Even if you like

955
00:55:06,920 --> 00:55:09,640
Speaker 1: conceptualize all of this growth, it's like, you know, there's

956
00:55:09,680 --> 00:55:13,920
Speaker 1: not more space on Earth right on the planet, so

957
00:55:14,120 --> 00:55:16,880
Speaker 1: like are you expecting this ship like just to have

958
00:55:17,080 --> 00:55:19,160
Speaker 1: Earth have a bunch of ship jutting off of it?

959
00:55:19,280 --> 00:55:21,600
Speaker 1: Because everything has to be growing at a certain at

960
00:55:21,600 --> 00:55:23,719
Speaker 1: a certain point, you reach the limits of what what

961
00:55:23,800 --> 00:55:26,840
Speaker 1: can happen and it collapses. That's just that's just the

962
00:55:27,000 --> 00:55:30,439
Speaker 1: nature of it. Um. But but we see this play

963
00:55:30,480 --> 00:55:34,279
Speaker 1: out over and over and over again just like that,

964
00:55:34,719 --> 00:55:36,880
Speaker 1: and I think that's the terrible habit that you know,

965
00:55:37,120 --> 00:55:41,160
Speaker 1: it's hard to break as a society apparently too close

966
00:55:41,200 --> 00:55:43,160
Speaker 1: to the sun, and everyone does no one ever thinks

967
00:55:43,200 --> 00:55:45,440
Speaker 1: that they're the straw that's going to break it, right.

968
00:55:46,239 --> 00:55:49,360
Speaker 1: I mean, somebody's has got to write exactly and they're like, no,

969
00:55:49,480 --> 00:55:51,480
Speaker 1: we can do this, like you want to be Facebook

970
00:55:51,480 --> 00:55:54,360
Speaker 1: and then have you know, Mark Zuckerberg, like lose a

971
00:55:54,360 --> 00:55:57,600
Speaker 1: bunch of valuation because like the metaverse is everything and

972
00:55:57,680 --> 00:56:01,200
Speaker 1: people like, okay, sir, we're going on that. But there's

973
00:56:01,280 --> 00:56:04,839
Speaker 1: so few things that are just right sized and are like, yeah,

974
00:56:04,880 --> 00:56:07,759
Speaker 1: we're gonna actually stay right sized and we're gonna you know,

975
00:56:07,960 --> 00:56:09,879
Speaker 1: like South Park. I feel like it's one of those

976
00:56:09,920 --> 00:56:15,759
Speaker 1: examples where by having a production like process that is

977
00:56:16,000 --> 00:56:19,160
Speaker 1: in a place that has nothing to do with like

978
00:56:19,320 --> 00:56:22,680
Speaker 1: any executives, and by turning it in like an hour

979
00:56:23,280 --> 00:56:26,040
Speaker 1: before it goes on the air, like that's the way

980
00:56:26,160 --> 00:56:29,319
Speaker 1: they've protected it for so long, but like everything else

981
00:56:29,400 --> 00:56:32,719
Speaker 1: gets fucking ruined in one way or another, you know.

982
00:56:33,719 --> 00:56:36,160
Speaker 1: And yeah, I mean I don't like in Japan right,

983
00:56:36,480 --> 00:56:40,399
Speaker 1: culturally everything, there's a lot of emphasis on just doing

984
00:56:40,520 --> 00:56:43,480
Speaker 1: something right and just doing that over and over again.

985
00:56:43,520 --> 00:56:46,439
Speaker 1: That's why the most businesses that are over one years

986
00:56:46,480 --> 00:56:50,759
Speaker 1: old exist in Japan because this like growth isn't the

987
00:56:51,160 --> 00:56:53,279
Speaker 1: main driver for like you know, like a like a

988
00:56:53,360 --> 00:56:57,400
Speaker 1: mom and shop business. Like we make these biscuits and

989
00:56:57,520 --> 00:56:59,600
Speaker 1: we've been doing it for a hundred years, and we

990
00:56:59,680 --> 00:57:01,920
Speaker 1: just want to make sure these biscuits they're lit, you know,

991
00:57:02,040 --> 00:57:04,480
Speaker 1: so when you come, the biscuits are on point. And

992
00:57:04,680 --> 00:57:07,680
Speaker 1: that's enough to you know, support the family. Our family

993
00:57:07,760 --> 00:57:10,840
Speaker 1: has prospered, but we're not trying to expand into multiple

994
00:57:10,920 --> 00:57:13,719
Speaker 1: cities or whatever. We do this thing really good here

995
00:57:13,760 --> 00:57:16,120
Speaker 1: and that's giving us a life. Sounds like a loser

996
00:57:16,200 --> 00:57:21,520
Speaker 1: mentality to me. Money losershit. Um yeah, man always checked

997
00:57:21,560 --> 00:57:24,240
Speaker 1: the books real quick? Who won World War Two? Okay,

998
00:57:25,200 --> 00:57:27,720
Speaker 1: I'm like, yo, bro, that's kind of sucked up. But

999
00:57:28,720 --> 00:57:31,680
Speaker 1: like the whole story about Netflix being like Netflix has

1000
00:57:31,760 --> 00:57:34,760
Speaker 1: fucked is because they didn't grow for like one quarter,

1001
00:57:34,840 --> 00:57:37,800
Speaker 1: which makes sense because they're spending like they're growing, right,

1002
00:57:38,040 --> 00:57:41,720
Speaker 1: but like that is the idea. It's just like perpetual

1003
00:57:41,880 --> 00:57:45,480
Speaker 1: constant growth. And the problem that Netflix hit is that,

1004
00:57:45,640 --> 00:57:48,440
Speaker 1: like other than competition, they also like ran out of

1005
00:57:48,560 --> 00:57:52,600
Speaker 1: people on on Earth, which is like, well right, yeah,

1006
00:57:52,760 --> 00:57:56,560
Speaker 1: that's that's a problem. Um so us pulling out of

1007
00:57:56,680 --> 00:58:00,760
Speaker 1: Russia did end up actually having effect on the numb

1008
00:58:00,760 --> 00:58:03,400
Speaker 1: because we cut off an entire market and now we're

1009
00:58:03,440 --> 00:58:06,720
Speaker 1: like scrambling because it's just And I was reading a

1010
00:58:06,760 --> 00:58:08,240
Speaker 1: story about how a lot of the people work at

1011
00:58:08,320 --> 00:58:11,080
Speaker 1: Netflix are demoralized, Like it's bad for people to work

1012
00:58:11,240 --> 00:58:14,280
Speaker 1: in a place like that when you're kind of watching

1013
00:58:14,320 --> 00:58:17,440
Speaker 1: a runaway train and be like dad thinking about anything,

1014
00:58:18,600 --> 00:58:22,760
Speaker 1: Like they're just like thing, what's the next big thing?

1015
00:58:22,800 --> 00:58:25,280
Speaker 1: And this happened to digital video because digital video ended

1016
00:58:25,320 --> 00:58:29,440
Speaker 1: up becoming like, let's shoot TV quality shit for YouTube.

1017
00:58:30,360 --> 00:58:32,600
Speaker 1: I'm like, but the revenues aren't there for the budgets

1018
00:58:32,680 --> 00:58:35,480
Speaker 1: like this. That's why I like podcasting. This ship is

1019
00:58:35,520 --> 00:58:38,160
Speaker 1: not suddenly going to be in Dolby atmost, and like

1020
00:58:38,800 --> 00:58:41,000
Speaker 1: like we're fucking up because we're like, damn, we took

1021
00:58:41,000 --> 00:58:43,840
Speaker 1: a big old swing on nine D audio, Like nah,

1022
00:58:45,160 --> 00:58:47,040
Speaker 1: he's the same fucking mikes and shipped over and over

1023
00:58:47,080 --> 00:58:50,400
Speaker 1: and you just gotta you know, just bringing the content.

1024
00:58:50,640 --> 00:58:52,920
Speaker 1: Don't need sucking bells and whistles. And the ship that

1025
00:58:53,080 --> 00:58:56,200
Speaker 1: like actually succeeds is like squid Game, which costs two

1026
00:58:56,240 --> 00:58:59,480
Speaker 1: million dollars an episode. Meanwhile, like the new Amazon produced

1027
00:58:59,520 --> 00:59:02,760
Speaker 1: Lord of the Ring show, Uh, is going to cost

1028
00:59:03,000 --> 00:59:07,240
Speaker 1: fifty eight million dollars per episode. Uh, oh my god,

1029
00:59:07,400 --> 00:59:09,840
Speaker 1: that's fifty eight I thought the Game of Thrones numbers

1030
00:59:09,840 --> 00:59:12,640
Speaker 1: were high. I didn't know it. Yeah, Game of Thrones prequel,

1031
00:59:13,040 --> 00:59:16,960
Speaker 1: which I don't know. Man, I'm not feeling like great

1032
00:59:17,000 --> 00:59:20,720
Speaker 1: about that. But that's gonna cost merely twenty million dollars

1033
00:59:20,760 --> 00:59:23,040
Speaker 1: per episodes. But the Lord of the Rings, which to

1034
00:59:23,160 --> 00:59:27,600
Speaker 1: me looked like a bunch of other uh, you know,

1035
00:59:28,040 --> 00:59:29,920
Speaker 1: and the Lord of the Rings heads got mad at

1036
00:59:29,960 --> 00:59:33,080
Speaker 1: me for saying this, But like the that money doesn't

1037
00:59:33,080 --> 00:59:35,680
Speaker 1: show up on screen in a way that like is

1038
00:59:35,800 --> 00:59:38,560
Speaker 1: like it's not like Avatar, where all of a sudden

1039
00:59:38,600 --> 00:59:42,000
Speaker 1: it's like, wait, why why is my television in three dimensions?

1040
00:59:42,280 --> 00:59:44,560
Speaker 1: It's like, you know, that just looks like a lot

1041
00:59:44,640 --> 00:59:50,800
Speaker 1: of other like really high quality fantasy ship. Um, but

1042
00:59:51,080 --> 00:59:53,960
Speaker 1: they're paying fifty eight million dollars per episode. Um. The

1043
00:59:54,040 --> 00:59:57,720
Speaker 1: new season of Stranger Things cost thirty million dollars per episode,

1044
00:59:58,280 --> 01:00:01,720
Speaker 1: so you know there, I don't know how much it

1045
01:00:01,800 --> 01:00:04,320
Speaker 1: costs to c g I a few interdimensional monsters and

1046
01:00:04,560 --> 01:00:09,240
Speaker 1: cans of New Coke into into a cabin in Vermont.

1047
01:00:09,400 --> 01:00:13,040
Speaker 1: But they're they're testing the limits of that ship. Um,

1048
01:00:13,720 --> 01:00:17,080
Speaker 1: but yeah, I don't know. And then Bridgerton like huge

1049
01:00:17,160 --> 01:00:20,840
Speaker 1: hit and cost nine million dollars per episode, which still

1050
01:00:20,880 --> 01:00:24,360
Speaker 1: seems like a lot, but it looked like looked like

1051
01:00:24,960 --> 01:00:28,520
Speaker 1: a million bucks. Um, so yeah, look, hey, a little

1052
01:00:28,520 --> 01:00:31,600
Speaker 1: a good story and some diversity a lot easier than

1053
01:00:31,640 --> 01:00:34,280
Speaker 1: spending tens of millions of dollars to be like, man,

1054
01:00:34,280 --> 01:00:39,520
Speaker 1: how we make that person's ears look more pointy? Yeah,

1055
01:00:39,840 --> 01:00:42,240
Speaker 1: come on now, And I don't And the thing is,

1056
01:00:42,400 --> 01:00:44,720
Speaker 1: I love the genre too, but I think it's just

1057
01:00:44,840 --> 01:00:46,600
Speaker 1: I think the part that the only reason I'm like

1058
01:00:46,720 --> 01:00:49,280
Speaker 1: kind of animated about it all is because you see

1059
01:00:49,360 --> 01:00:53,120
Speaker 1: this again, this pattern go like people are taking big

1060
01:00:53,200 --> 01:00:55,080
Speaker 1: swings where you don't need to take as big of

1061
01:00:55,160 --> 01:00:56,920
Speaker 1: a swing like you can. You could probably get these

1062
01:00:56,920 --> 01:01:00,040
Speaker 1: shows done for certain amounts of money. But then you

1063
01:01:00,120 --> 01:01:02,400
Speaker 1: bring into the other aspects of this, like streaming and

1064
01:01:02,560 --> 01:01:04,720
Speaker 1: probably the money they're saving by not having to honor

1065
01:01:04,800 --> 01:01:07,760
Speaker 1: certain union agreements because it's streaming, especially on the back end,

1066
01:01:07,800 --> 01:01:10,600
Speaker 1: and ship like that, so it can be that's I'm like,

1067
01:01:10,680 --> 01:01:12,400
Speaker 1: that's a lot of money for a lot of people

1068
01:01:12,440 --> 01:01:14,959
Speaker 1: to not maybe be paid the same that they would

1069
01:01:15,000 --> 01:01:19,240
Speaker 1: be if this were a real like TV or film production. Yeah,

1070
01:01:19,320 --> 01:01:21,320
Speaker 1: I mean we're talking about it in media because that's

1071
01:01:21,360 --> 01:01:24,040
Speaker 1: an industry we're pretty familiar with. But like, this is

1072
01:01:24,240 --> 01:01:28,160
Speaker 1: the entire u AS economy is, especially like the ones

1073
01:01:28,280 --> 01:01:31,480
Speaker 1: that are traded publicly. So it's every everything you have

1074
01:01:31,560 --> 01:01:36,520
Speaker 1: to show a growth story like every three months, which

1075
01:01:37,280 --> 01:01:42,120
Speaker 1: seems uh, you know, not not like a healthy way

1076
01:01:42,200 --> 01:01:45,200
Speaker 1: to I mean, it's it's almost like if Marx wrote

1077
01:01:45,240 --> 01:01:47,480
Speaker 1: a satire of what the future would look like. It's

1078
01:01:47,520 --> 01:01:52,320
Speaker 1: like everyone is literally addicted to growth and has to

1079
01:01:53,400 --> 01:01:56,600
Speaker 1: like prove that they're growing, uh to a bunch of

1080
01:01:56,640 --> 01:01:58,800
Speaker 1: people who are like, I don't I don't think they're

1081
01:01:58,840 --> 01:02:02,360
Speaker 1: growing enough. Like yeah, yeah, they're like, but it makes

1082
01:02:02,520 --> 01:02:07,880
Speaker 1: ten million dollars a year like clockwork. Yeah, you can't

1083
01:02:07,920 --> 01:02:10,160
Speaker 1: get to you can't get to eleven next year and

1084
01:02:10,200 --> 01:02:12,800
Speaker 1: then maybe twelve year. Do we try? How do we

1085
01:02:12,880 --> 01:02:15,760
Speaker 1: ten x that? How do we tend xs I make,

1086
01:02:15,960 --> 01:02:20,040
Speaker 1: I make like corrective posture braces for kids? Yeah, how

1087
01:02:20,080 --> 01:02:25,240
Speaker 1: do we grow that market? Like? What do we injuries?

1088
01:02:26,000 --> 01:02:31,439
Speaker 1: Thank you, we're talking exactly. So let's put introduce a bill.

1089
01:02:31,920 --> 01:02:35,640
Speaker 1: Let's introduce a bill that is bands car seats for kids,

1090
01:02:35,880 --> 01:02:38,080
Speaker 1: they'll be more injured and they'll need more braces. Were

1091
01:02:38,080 --> 01:02:42,880
Speaker 1: ten x inc this sht or you know on another

1092
01:02:43,040 --> 01:02:47,920
Speaker 1: path we could take is we start encouraging hacky sacking

1093
01:02:48,200 --> 01:02:53,160
Speaker 1: on my less flat surfaces. Um, and we just see

1094
01:02:53,160 --> 01:02:55,320
Speaker 1: where it takes us. You know, we're putting you let

1095
01:02:55,400 --> 01:02:58,200
Speaker 1: a lot of dogs go loose, and then you just

1096
01:02:58,320 --> 01:03:01,680
Speaker 1: see which one takes you to promised Land. I can

1097
01:03:01,720 --> 01:03:03,640
Speaker 1: tell you that much. If I was wearing a child's

1098
01:03:03,680 --> 01:03:07,920
Speaker 1: bag brace, I would have never sprained my foot playing

1099
01:03:07,960 --> 01:03:11,600
Speaker 1: hacky sack. You wouldn't have made twenty people's day by

1100
01:03:11,640 --> 01:03:14,600
Speaker 1: the ship you were doing with that. He exactly give

1101
01:03:14,920 --> 01:03:16,480
Speaker 1: you take something. But also would you would you be

1102
01:03:16,520 --> 01:03:24,120
Speaker 1: willing to say that in a film's testimonial for our product? Uh? Well, Maggie,

1103
01:03:24,320 --> 01:03:27,280
Speaker 1: it's such a pleasure as always had you. Where can

1104
01:03:27,320 --> 01:03:30,560
Speaker 1: people find you? Follow you all that good stuff? So

1105
01:03:30,960 --> 01:03:34,840
Speaker 1: I am on all of the socials and at Maggie

1106
01:03:34,920 --> 01:03:37,080
Speaker 1: may ha ha may have spelled m a y e

1107
01:03:39,280 --> 01:03:45,600
Speaker 1: ha ha spelled normally. And is there a tweet or

1108
01:03:45,760 --> 01:03:50,480
Speaker 1: some of the work of social media you've been enjoying? Yes, yes, um,

1109
01:03:50,760 --> 01:03:56,960
Speaker 1: let's see. Uh. The Senator Mallory McMorrow clapped back that

1110
01:03:57,120 --> 01:04:03,440
Speaker 1: she did person who called yes, the one who she

1111
01:04:03,640 --> 01:04:06,040
Speaker 1: disagreed with something. So her opponent was like, okay, well

1112
01:04:06,120 --> 01:04:08,840
Speaker 1: she's a groomer, which is like, I really hate how

1113
01:04:10,160 --> 01:04:12,040
Speaker 1: a lot of people have just adopted that word to

1114
01:04:12,160 --> 01:04:13,880
Speaker 1: like if you agree with them in any way, it's

1115
01:04:13,880 --> 01:04:18,240
Speaker 1: because you're probably a groomer. So like, overnight, this person's

1116
01:04:18,560 --> 01:04:22,720
Speaker 1: this woman's opponent had sent out a fundraising email about

1117
01:04:22,760 --> 01:04:25,600
Speaker 1: how she was clearly a groomer because she doesn't believe

1118
01:04:25,680 --> 01:04:29,640
Speaker 1: the same that we do. And so oh man, Senator

1119
01:04:29,800 --> 01:04:35,040
Speaker 1: McMorrow took the full strength of her white woman privilege

1120
01:04:35,480 --> 01:04:38,320
Speaker 1: and just like she was like, I am a straight

1121
01:04:38,920 --> 01:04:42,720
Speaker 1: CIS Christian white woman and I'm not about to sit

1122
01:04:42,840 --> 01:04:45,560
Speaker 1: here and let us. And I was just like, like

1123
01:04:45,680 --> 01:04:48,040
Speaker 1: she was like, you can't go around and tell people

1124
01:04:48,320 --> 01:04:49,920
Speaker 1: that they can't do this and they can't do that,

1125
01:04:50,200 --> 01:04:52,280
Speaker 1: and you can't do this, and you can't just go

1126
01:04:52,440 --> 01:04:56,080
Speaker 1: and like label people for thinking differently than you think.

1127
01:04:56,320 --> 01:04:58,240
Speaker 1: And I loved it so much because I hate that

1128
01:04:58,320 --> 01:05:01,840
Speaker 1: whole idea that you and just throw around that kind

1129
01:05:01,880 --> 01:05:06,240
Speaker 1: of a thing, because like it it hurts. And as

1130
01:05:06,280 --> 01:05:08,280
Speaker 1: she was calling out her you know, the other State

1131
01:05:08,360 --> 01:05:10,280
Speaker 1: senator who was trying to fundraise off that is like,

1132
01:05:10,320 --> 01:05:12,040
Speaker 1: you can't just do that and put christian in your

1133
01:05:12,080 --> 01:05:14,320
Speaker 1: bio and then hide behind that. And then she's like,

1134
01:05:14,440 --> 01:05:17,920
Speaker 1: let me define Christianity for you, and then talked about her,

1135
01:05:18,440 --> 01:05:21,720
Speaker 1: you know, her actual idea of Christianity, which is about

1136
01:05:21,720 --> 01:05:24,440
Speaker 1: being in service to people who are less fortunate. Um,

1137
01:05:24,920 --> 01:05:27,520
Speaker 1: but yeah, it is a it's it's a really There's

1138
01:05:27,560 --> 01:05:31,560
Speaker 1: been a lot of really fantastic you know, uh speeches

1139
01:05:31,600 --> 01:05:34,200
Speaker 1: given from people across all the states that have these

1140
01:05:34,240 --> 01:05:37,080
Speaker 1: fucked up, you know, homophobic bills popping up, or they're

1141
01:05:37,120 --> 01:05:40,280
Speaker 1: pleading with people to just say like, hey, we are human.

1142
01:05:40,640 --> 01:05:43,880
Speaker 1: Also even if you are not, uh you know, homosexual,

1143
01:05:44,280 --> 01:05:46,320
Speaker 1: maybe you're not. You don't know anybody who's trans. We

1144
01:05:46,400 --> 01:05:49,680
Speaker 1: can't just suddenly like inflict all this kind of damage

1145
01:05:49,720 --> 01:05:53,520
Speaker 1: on people because it's obscure to you exactly. Also, you

1146
01:05:53,600 --> 01:05:55,280
Speaker 1: gotta show you got any live shows coming up? You

1147
01:05:55,320 --> 01:05:59,440
Speaker 1: gotta where can people see you? Yes? Um, on May second,

1148
01:05:59,520 --> 01:06:03,280
Speaker 1: I'm going be doing the Netflix as a Joke Festival.

1149
01:06:04,480 --> 01:06:08,480
Speaker 1: I'm going Yeah, I'm gonna be doing Seth Rogan's table

1150
01:06:08,560 --> 01:06:13,360
Speaker 1: read of Friday. Amazing. Wow, do you know who You're

1151
01:06:13,360 --> 01:06:17,200
Speaker 1: gonna play somebody in the ensemble. Okay, okay, we'll keep

1152
01:06:17,280 --> 01:06:20,800
Speaker 1: that TV dum Wait where is that happening in l

1153
01:06:20,880 --> 01:06:26,440
Speaker 1: A Yeah, it's a oh oh so it's is it

1154
01:06:26,600 --> 01:06:30,040
Speaker 1: all over? Like there's a ton of stuff happening. That

1155
01:06:30,160 --> 01:06:32,200
Speaker 1: makes sense because I see so many Netflix as a

1156
01:06:32,280 --> 01:06:36,440
Speaker 1: joke things happening, and I'm like, everywhere, They're everywhere there,

1157
01:06:36,640 --> 01:06:40,120
Speaker 1: you know, they're a dynasty there at like the Hollywood Bowl. Yeah,

1158
01:06:40,120 --> 01:06:43,040
Speaker 1: they got Yeah, they're everywhere. All right. I We'll check

1159
01:06:43,080 --> 01:06:45,720
Speaker 1: Maggie out and that's that sounds amazing. As Seth Rogan

1160
01:06:46,720 --> 01:06:52,840
Speaker 1: Friday table read with other fantastic comedians excited, I'm just

1161
01:06:52,920 --> 01:06:56,960
Speaker 1: trying to picture, like Seth Rogan playing the Chris Tucker character.

1162
01:06:58,240 --> 01:07:11,040
Speaker 1: He's smoky. You got knocked the funk Outwed Miles. Where

1163
01:07:11,040 --> 01:07:13,120
Speaker 1: can people find you? What the tweet you've been enjoying?

1164
01:07:14,520 --> 01:07:22,560
Speaker 1: Good morning, miss Parker. I'm gonna miss Parker. Oh yeah,

1165
01:07:23,040 --> 01:07:27,040
Speaker 1: oh yeah, she blacker than a mofoker too. I'm sorry,

1166
01:07:27,200 --> 01:07:32,080
Speaker 1: I'm thinking of all these lines that smoking. I'm sorry.

1167
01:07:32,080 --> 01:07:34,120
Speaker 1: You can find me at Miles of Gray on Twitter

1168
01:07:34,160 --> 01:07:36,920
Speaker 1: and Instagram. Also check out the other pods mad Boost

1169
01:07:36,960 --> 01:07:41,680
Speaker 1: these Jack and I's NBA podcast Fantastic Guest, Fantastic Conversation.

1170
01:07:41,760 --> 01:07:44,200
Speaker 1: The playoffs are in full swing. You're all about it,

1171
01:07:44,800 --> 01:07:47,840
Speaker 1: as well as some pain from Jack. Also the other

1172
01:07:47,920 --> 01:07:53,560
Speaker 1: podcast for Fance with Sophia Alexandra stop by for that one. Um.

1173
01:07:53,720 --> 01:07:57,439
Speaker 1: Some tweets I like. First one is uh, I mean, look,

1174
01:07:58,000 --> 01:08:00,280
Speaker 1: this is gonna hurt a little bit. It's referencing Ben Simmons.

1175
01:08:00,320 --> 01:08:02,800
Speaker 1: But this is from NBA Slime at Terry Francon. He

1176
01:08:02,840 --> 01:08:05,120
Speaker 1: had tweeted Tiger Woods nearly lost his leg in his

1177
01:08:05,200 --> 01:08:08,160
Speaker 1: life and has had several back surgeries, and even he

1178
01:08:08,200 --> 01:08:10,800
Speaker 1: played sooner than Ben Simmons, and that is something that

1179
01:08:11,000 --> 01:08:15,640
Speaker 1: is That's that's heavy. That's heavy to think about. Uh.

1180
01:08:15,800 --> 01:08:18,960
Speaker 1: And then Sarah Lazarus at Sarah see Lazarus tweeted, Uh,

1181
01:08:19,320 --> 01:08:22,040
Speaker 1: do I love that Elon Musk owns Twitter? No? But

1182
01:08:22,160 --> 01:08:24,960
Speaker 1: do I respect him as a person. No. I think

1183
01:08:24,960 --> 01:08:27,880
Speaker 1: he's smarter than a box of rocks. No, forget where

1184
01:08:27,880 --> 01:08:33,800
Speaker 1: I was going with this one. There we go. Um,

1185
01:08:35,720 --> 01:08:39,639
Speaker 1: all right, Uh tweet I've been enjoying. Uh. Well, first

1186
01:08:39,680 --> 01:08:46,120
Speaker 1: of all, I enjoyed a tweet from Jamie loftusby this morning. Uh,

1187
01:08:46,600 --> 01:08:52,160
Speaker 1: so incredible well deserved. Little Leader podcasts YEA and I

1188
01:08:52,360 --> 01:08:56,639
Speaker 1: heart holding it down, both the winner and the People's

1189
01:08:56,720 --> 01:09:00,280
Speaker 1: Voice winners. So UM. Shout out to Jamie, out out

1190
01:09:00,320 --> 01:09:03,320
Speaker 1: to the folks who made the MLK tapes which we

1191
01:09:03,360 --> 01:09:07,040
Speaker 1: talked about on this this very podcast, good show. UM.

1192
01:09:07,920 --> 01:09:13,600
Speaker 1: I enjoyed a tweet from Ellie Kremendal who tweeted, you

1193
01:09:13,640 --> 01:09:16,519
Speaker 1: should be able to order a chocolate chip cookie medium rare.

1194
01:09:17,120 --> 01:09:20,840
Speaker 1: That is true, um. And then Shelby Wolstein I really

1195
01:09:21,560 --> 01:09:24,839
Speaker 1: identified with this. I don't simply go through airport security.

1196
01:09:25,000 --> 01:09:27,240
Speaker 1: I have a goal. I want everyone in line to

1197
01:09:27,280 --> 01:09:30,280
Speaker 1: be blown away by my efficiency. I want to be

1198
01:09:30,400 --> 01:09:33,360
Speaker 1: celebrated as I pushed my belongings across the table. I

1199
01:09:33,400 --> 01:09:35,960
Speaker 1: want T s A to offer me a job I'll decline.

1200
01:09:36,280 --> 01:09:39,160
Speaker 1: I want people talking about me at their gate glory.

1201
01:09:40,439 --> 01:09:45,080
Speaker 1: I always just the efficiency that I strive for going

1202
01:09:45,200 --> 01:09:48,560
Speaker 1: through T s A is uh, never matched by my

1203
01:09:48,920 --> 01:09:51,640
Speaker 1: my actions. But you know, do you ever ahead of

1204
01:09:51,720 --> 01:09:54,240
Speaker 1: time like oh no, I'm not tying my shoes, I'm

1205
01:09:54,280 --> 01:09:56,400
Speaker 1: boring slip on. Yeah, and then and then you have

1206
01:09:56,560 --> 01:10:01,719
Speaker 1: kids and it's all over but oh yeah, yeah, yeah yeah. Uh. Anyways,

1207
01:10:01,760 --> 01:10:04,360
Speaker 1: you can find me on Twitter at Jack Underscore O'Brien.

1208
01:10:04,439 --> 01:10:06,880
Speaker 1: You can find us on Twitter at Daily Zeitgeist. We're

1209
01:10:06,880 --> 01:10:09,360
Speaker 1: at the Daily Ziegeist on Instagram. We have a Facebook

1210
01:10:09,400 --> 01:10:12,479
Speaker 1: fan page and a website, Daily Zygeist dot com. Or

1211
01:10:12,560 --> 01:10:16,320
Speaker 1: we post our episodes on our footnote. We link off

1212
01:10:16,360 --> 01:10:18,599
Speaker 1: to the information that we talked about in today's episode,

1213
01:10:18,720 --> 01:10:22,240
Speaker 1: as well as a song that we think you might enjoy. Miles,

1214
01:10:22,320 --> 01:10:25,640
Speaker 1: what song do we think people might enjoy? Today? We

1215
01:10:25,840 --> 01:10:29,880
Speaker 1: are going to go track from Mansur Brown. I've played

1216
01:10:29,920 --> 01:10:33,120
Speaker 1: Mansur Brown before, one of just a really fantastic like

1217
01:10:33,360 --> 01:10:37,120
Speaker 1: guitarist jazz guitars from the uk UM and this is

1218
01:10:37,200 --> 01:10:41,320
Speaker 1: a track called wait where is it? The title want

1219
01:10:41,400 --> 01:10:44,560
Speaker 1: You from the album Hey What, which means peace in Japanese.

1220
01:10:44,920 --> 01:10:47,360
Speaker 1: Uh so, yeah. Check out Mansur Brown and a lot

1221
01:10:47,400 --> 01:10:50,040
Speaker 1: of stuff that Manser Brown does. Anything with Mansur Brown

1222
01:10:50,120 --> 01:10:52,000
Speaker 1: and use if Days was a drummer is usually a

1223
01:10:52,040 --> 01:10:54,400
Speaker 1: really fantastic live performance. So if you're really into technical

1224
01:10:54,479 --> 01:10:57,320
Speaker 1: drumming and jazz guitars, check that out too. Man Sir

1225
01:10:57,600 --> 01:11:00,679
Speaker 1: is spelled how m A and s U are got

1226
01:11:00,720 --> 01:11:03,040
Speaker 1: it all right? We'll go check that out. The Daily

1227
01:11:03,200 --> 01:11:05,160
Speaker 1: Slight guys, is a production of I Heart Radio. From

1228
01:11:05,200 --> 01:11:07,280
Speaker 1: more podcasts from my heart Radio, visit the I heart

1229
01:11:07,320 --> 01:11:09,920
Speaker 1: Radio app, Apple podcast, or wherever you listen to your

1230
01:11:09,920 --> 01:11:12,120
Speaker 1: favorite shows. That's gonna do it for us this morning,

1231
01:11:12,200 --> 01:11:14,719
Speaker 1: but we are back this afternoon to tell you what's

1232
01:11:14,800 --> 01:11:18,040
Speaker 1: trending and we'll talk to you all then. Bye bye,