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

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Speaker 1: Episode four of Day Guys Stay production of My Heart Radio.

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

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Speaker 1: into America's share consciousness. It's Thursday, November two, first day

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Speaker 1: that we're getting with post election results. You know, we're

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Speaker 1: diving into America's share consciousness and trying to do you know,

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Speaker 1: just stay dry despite this big, big gass red wave.

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Speaker 1: To keep in splashing all over and get your umbrellas out,

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Speaker 1: because that's when I brainstorm. Yeah, it's also National Vanilla

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Speaker 1: Cupcake Day, National Forget Me Not. It was like, isn't

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Speaker 1: that the song that the Men in Black the theme song?

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Speaker 1: Was like, anyway, it's not the flower or something. No,

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Speaker 1: oh no, this is about some like oh, this is

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Speaker 1: about like some people are dying and never arrow can

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Speaker 1: never mind. Okay, okay, honoring white people heard war also

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Speaker 1: now specific Friday. So if you if you got that

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Speaker 1: old Honda Civic, have some pride, man, that's what's the

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Speaker 1: dope cart amazing. Well, my name is Jack O'Brien ak.

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Speaker 1: It's a nice day for fetther man. Well, it's a

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Speaker 1: nice day for a red wedding. It's a bad day

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Speaker 1: for Republic Cam. That's courtesy Christie. I'm a Gucci mane

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Speaker 1: look Billy idol to get things kicked off right. I'm

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

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Speaker 1: Mr Miles Grad. All around the world country's life when

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Speaker 1: they see just how batch it fuck this place is.

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Speaker 1: Everywhere I goes like gang stopping. They see Miles Grades

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Speaker 1: years old, Jackobe, blessed soul. I just wants our fries stop.

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Speaker 1: Stop stops f low temp oil, You'll fry your baby,

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Speaker 1: low temp oil, You'll fry your baby. Shout out to

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Speaker 1: lock around. Even that fly by Sugar Ray. Think that

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Speaker 1: video shot in the valley like some girl I went

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Speaker 1: to like she swore her god who was her godmother's house?

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Speaker 1: I think I've just talked about before, but she really

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Speaker 1: we're all the yo Megan's godmother. That's that pool that

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Speaker 1: they shot that video that's in her crib. Miles. It's

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Speaker 1: a wonder you ever talked about anything else with that

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Speaker 1: sort of access to the fly video. I know, and

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Speaker 1: that's that's why people said, when are you running for

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Speaker 1: office when you have to anecdotes connecting lived experience, Well, Miles,

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Speaker 1: we are thrilled to be joined in our third seat

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Speaker 1: by a brilliant, talented writer and podcaster who's written for

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Speaker 1: publications like The New York Times, The New Yorker, New

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Speaker 1: York Review of Books, g Q heard of that where

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Speaker 1: she wrote that machine Gun Kelly Megan Puck's feature that

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Speaker 1: Broke the Internet. She was the co host of the

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Speaker 1: legendary podcasts Girls in Hoodies and Nightcall, and the creator

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Speaker 1: of the legendary podcast High Any World The Flight Story,

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Speaker 1: which you should go listen to. Now, please welcome back

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Speaker 1: to this show. Molly Lamber. Wow, the songs are so good.

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Speaker 1: I have to do a song too. M Uh this

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Speaker 1: this isn't Adele song. I'm I'm Adell. Now I set

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Speaker 1: fire to the grove and we're going to kill Rick

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Speaker 1: Carusso's that but and that was Adele speaking. So if

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Speaker 1: anybody thinks that that was a real threat, go for it,

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Speaker 1: go after it. Go tell Adele the one that she

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Speaker 1: was going to set fire to the grove not. I mean,

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Speaker 1: that's the thing with these Tottenham fans, you can't you

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Speaker 1: don't know where they're coming from, you know, That's why

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Speaker 1: you know they won't turn it down. If the foot

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Speaker 1: he goes left, I mean, hell if the foot he

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Speaker 1: goes right. Yeah, you know, I mean very cane, mate, massive,

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Speaker 1: every cane, massive of mate. Alright, well, how's everybody feeling.

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Speaker 1: I mean we're I guess we'll get into it a

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Speaker 1: little bit where nothing was gonna I mean, yeah, sure fine.

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Speaker 1: I mean I'm look, I know everybody like everyone was

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Speaker 1: saying big red wave, but like people who were like

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Speaker 1: looking at you were like, I don't know. People seem

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Speaker 1: pretty like fucking freaked out slash piste off about like

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Speaker 1: you know, existential threats rights that might motivate them. But

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Speaker 1: I think every time the polls say something's going to happen,

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Speaker 1: you should just assume the opposite. Yeah. Yeah, it seems

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Speaker 1: like that's the now. That's where I've been at for

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Speaker 1: a few years, just like, oh, they say this is

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Speaker 1: gonna happen, I'm gonna say, whatever the opposite thing is

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Speaker 1: this going to happen? It seems like, yeah, Republicans are

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Speaker 1: like they are having their twenty six moment, which but

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Speaker 1: the pole, but but but the pole? And I'm like

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Speaker 1: y'all were cooking the fucking numbers to create a fucking narrative.

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Speaker 1: Like somebody else that pointed out that it's like they

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Speaker 1: are taking these poles by calling people on the phone. Yeah. Yeah,

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Speaker 1: we t aked about that yesterday that like Nate Cone,

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Speaker 1: the number one New York Times pole dude, was like, yeah,

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Speaker 1: the one thing to be noted is that it took

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Speaker 1: me two hours to get a single pole response. I mean,

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Speaker 1: I think I've said this before, maybe even on this show,

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Speaker 1: but like if you were if you did the polls

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Speaker 1: in ten, that shouldn't be your job anymore. Yeah. You know,

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Speaker 1: if you're the guy who said trust the math, trust

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Speaker 1: these stats, listen to me in you're fired, Donald Donald

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Speaker 1: Trump says you're fucking fired. That's why. That's why I

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Speaker 1: was wild. That guy Robert Kahley from Trafalgar, who was

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Speaker 1: like the one dude in twenty sixteen, was like, I'm

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Speaker 1: telling you, bro, Trump's got this. There were a bunch

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Speaker 1: of people who were like, bro, listen to the underground

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Speaker 1: saying we're fucked. But like, yeah, like that one guy

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Speaker 1: at Trafalgar, like he's been on like on a meteoric rise,

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Speaker 1: and then this time they're like, well, he just sounds

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Speaker 1: like he's just telling the Republicans what they want to

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Speaker 1: hear at this point and they're like, this guy burned us.

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Speaker 1: Oh he was like big red wave. Yeah yeah, get

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Speaker 1: your swimsuits on, in your sex wax ready, because we're

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Speaker 1: about to be riding a big way. Oh look at

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Speaker 1: you endless summer over here. Okay, sorry for Jack. All Right, Molly,

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Speaker 1: we're gonna get to know you a little bit better

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Speaker 1: in a moment. First, a couple of things we're talking about.

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Speaker 1: We're gonna check in with you know, something that I

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Speaker 1: always like to do in moments like these, which is fine,

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Speaker 1: Just like, go watch Fox News see how they're how

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Speaker 1: they're dealing with the new reality. It's always a surreal

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Speaker 1: experience to watch them as they wait to see what

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Speaker 1: they're talking points are going to be in any given moment.

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Speaker 1: But this was kind of a real time moment. They

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Speaker 1: were trying to trying to make sense of it all.

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Speaker 1: So well, we'll get some Fox News sound clips, we'll

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Speaker 1: try to make sense of of the results and take

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Speaker 1: some messages away from how people voted. Then we'll get

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Speaker 1: down to the important stuff. Like a new VR headset

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Speaker 1: that can kill you is not right? The fake story?

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Speaker 1: I think people just want that. People are like, yeah,

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Speaker 1: just I want a video game that is incredibly like

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Speaker 1: absorbs me into its reality. And then I also don't

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Speaker 1: want to be here anymore. I just like, don't want

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Speaker 1: to be around anymore. And this addresses both of those.

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Speaker 1: So the mainstream media ran with it, but I think

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Speaker 1: they might have gotten a little bit ahead of themselves.

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Speaker 1: I don't. I don't think it's actually true. Well, I'm

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Speaker 1: sure all the people who are like, what this guy

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Speaker 1: who ate forty like rotisserie chickens in a row, They're like, yeah, man,

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Speaker 1: this is news. We got to figure this out. We

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Speaker 1: might even get to the Santa Claus expanded Universe all

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Speaker 1: of that plenty more. But first, Molly, we like to

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Speaker 1: ask our guest, what is something from your search history? Wow,

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Speaker 1: yesterday I searched something very important. We've been having a

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Speaker 1: big not a red wave, but just a regular rainstorm

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Speaker 1: wave here in Los Angeles, and it was a full moon.

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Speaker 1: It was the blood Beaver moon yesterday, as you may know.

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Speaker 1: So I searched, does the full moon make rainstorm? Like,

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Speaker 1: make a storm worse or crazier? Hm? Interesting? Yeah? I

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Speaker 1: was like yeah. I was like, is that a crazy question?

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Speaker 1: And then I was like, no, it's not a crazy question,

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Speaker 1: because the full moon affects tides. Tides are like two

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Speaker 1: ft higher when it's a full moon, So if there's

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Speaker 1: a rainstorm, it means it's more rain even for the tide.

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Speaker 1: But the thing I learned that's even crazier is that

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Speaker 1: the real reason the full moon's making ship weirder is

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Speaker 1: because there's this thing with the wobble. Do you know

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Speaker 1: about this? The moon is wabbling the moon. The moon

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Speaker 1: is wobbling a little bit, and it's just it's not

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Speaker 1: climate change or anything. It's just a random thing the

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Speaker 1: moon is doing where it has this cycle for like

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Speaker 1: eighteen years or something where it's just like wobbles a

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Speaker 1: little bit. And when that happened, it just has a

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Speaker 1: little fun is doing a little just listening to bad Bunny.

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Speaker 1: But when when the moon, when the moon wobbles, it

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Speaker 1: does affect the tides and it makes like superstorms makes

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Speaker 1: crazy ship happen because it makes it so that it's

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Speaker 1: like the tides are either just very low or like

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Speaker 1: super high. It's like it just makes it more extreme.

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Speaker 1: Damn and check it out. It's crazy. And it's like

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Speaker 1: Russo wasn't using blood magic to someone that storm. I

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Speaker 1: mean yeah, but like he was no match for the

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Speaker 1: fucking moon magic. Yeah, I guess we'll see. We still

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Speaker 1: don't know that on that one, right, developers, developers will

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Speaker 1: be conquered by by space. We're gonna try to build

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Speaker 1: a mall in space and they're all gonna get space

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Speaker 1: madness and die. Oh yeah right, just like as you like,

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Speaker 1: uh is doing the ribbon cutting for the first cheesecake

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Speaker 1: factory like off of Earth, and at that moment, like, yeah,

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Speaker 1: it's all going to go wrong. I can see. It

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Speaker 1: gives me pleasure to think about. It's like their brains

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Speaker 1: will just you know, turn into sponges. Yeah. I've been

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Speaker 1: enjoying seeing like the just the tech people trying to

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Speaker 1: take it to the next level, with Elon Musk trying

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Speaker 1: to like do Twitter and just proving how scary it

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Speaker 1: would be to be on like a Mars colony where

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Speaker 1: Elon Musk was it was in charge, just kill half

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Speaker 1: of any any group of people that he's in charge of.

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Speaker 1: I was saying, well, I I like destroyed Twitter from

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Speaker 1: myself by tweeting. I did a tweet about how I

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Speaker 1: like I I've made fun of Elon Musk and Drake

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Speaker 1: at the same time them both you know, loser dorks

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Speaker 1: and just like said like, no amount of money can

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Speaker 1: make you like a good poster can make you funny

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Speaker 1: and cool if you're not. Yeah, and absolutely just like

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Speaker 1: haven't been able. I quit Twitter after that because on

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Speaker 1: Top I went out on Top and then Zuckerberg and

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Speaker 1: Meta like the I don't pay a lot of attention

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Speaker 1: to financial results, but like the amount of money that

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Speaker 1: he's losing on the medical Please please let all the

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Speaker 1: Silicon Valley guys just like get you know, run off

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Speaker 1: the planet, not just out of town, but like literally

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Speaker 1: run them, run them off. The Earth's on a spike,

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Speaker 1: run them off the flat Earth. Right, Earth is flat,

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Speaker 1: and that's why you can run billionaires off it. Yeah,

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Speaker 1: they don't want us to know this, Yeah, right exactly,

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Speaker 1: that's what they're hiding. I do feel like they're especially

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Speaker 1: susceptible to a like moon or Mars colony, so we

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Speaker 1: might just be able to get them all on the

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Speaker 1: same Mars colony and fighting to the death, mismanaging the

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Speaker 1: resources there, to the death of all of them. Basically,

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Speaker 1: what is something you think is overrated? Maybe what about

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Speaker 1: just thought I'm having the fabric cashmere. M Okay, go on,

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Speaker 1: I'm just Anna told me you guys are talking about Kashmir.

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Speaker 1: I was trying to freak you out by being I

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Speaker 1: mean your mind. Ye a packet debate that happened. Yeah,

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Speaker 1: it was the it was the cashmir al packet debate.

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Speaker 1: Because she asked me if I had thoughts on it,

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Speaker 1: and I was like, I do, in fact, and she

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Speaker 1: would save them for tomorrow's pot. Yeah. She's like, she's

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Speaker 1: so fucked Should I get a like a nice sweater

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Speaker 1: that feels good on my skin? So that's truly existence

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Speaker 1: And I was like, yeah, fuck you, I mean to

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Speaker 1: do what you gotta do. I do think Kashmir is overrated.

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Speaker 1: I think people I think it's just the best because

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Speaker 1: it costs the most, Like it's fucking lovely, but it

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Speaker 1: costs so much. You know, it seems sounds like it

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Speaker 1: doesn't bounce back very well either, right, I mean, it's delicate.

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Speaker 1: I think it's like also, like real fabrics aren't gonna

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Speaker 1: wash and wear like a polyester bullshit, you know, but

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Speaker 1: I don't really know about Alpaca's Alpaca soft. Yeah it

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Speaker 1: can be. I mean I was just more really like

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Speaker 1: I just told her, I like, out of my mind.

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Speaker 1: I was like, I don't know. I saw there's some

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Speaker 1: Kashmere vers out packeted, but I don't know if that's

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Speaker 1: interest you. She's like what I said, I said, I

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Speaker 1: mean I think anytime I wear like real fibers, I

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Speaker 1: love to wear like a wool sweater, and my body

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Speaker 1: just rejects it. My body is just like she's an

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Speaker 1: organ you've implanted on me and like no, yeah, but

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Speaker 1: her majesty is like that too, like whatever she like

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Speaker 1: she knows. I mean it's like, oh no, this has

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Speaker 1: some something whatever in it, because like immediately are skins,

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Speaker 1: Like I'm sorry, this doesn't Also like I'm like sucking

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Speaker 1: Irish and German. I assume my body was meant to

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Speaker 1: wear like the scratchiest wool sweaters on earth, full body

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Speaker 1: wool underpants. But also like because I'm Irish and German,

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Speaker 1: my skin is like completely just sensitive to anything I

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Speaker 1: just put. You know, anytime I put on a wool sweater,

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Speaker 1: I just break out in hives. Yeah, okay, that's my answer.

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Speaker 1: Just which side are we choosing? I I'm addicted to

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Speaker 1: choosing sides after the election season, so I'll pack. I'll

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Speaker 1: pack a what something you think is underrated? I don't

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Speaker 1: know how a nice apple today, I was like, when's

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Speaker 1: the last time you ate an apple? Right? Yeah, apples

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Speaker 1: are great right into it. I'm an apple jack. I

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Speaker 1: love I love me some apple. That Cerea was named

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Speaker 1: after me. That's really good cereal. Yeah, it's very sweet,

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Speaker 1: like just so much sugar, and like how their tagline

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Speaker 1: for that cereal was, it doesn't taste like apples. It

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Speaker 1: doesn't taste like the thing it's named for that you

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Speaker 1: just human tastes like, it tastes like a third thing.

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Speaker 1: I think apples have the highest ratio of like the

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Speaker 1: actual thing is much better than anything that's flavored after it.

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Speaker 1: Like any of the synthetic flavors for apple just aren't

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Speaker 1: as good as just a nice crispy Yeah, it really

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Speaker 1: just apple. Sometimes you're just at the farmer's market and

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Speaker 1: you're like, oh funk, what's in season? Apples? Your apples?

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Speaker 1: I know you ever like to eat a cold apple?

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Speaker 1: I don't know. I have been doing demonic energy putting

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Speaker 1: a fresh apple in the I'm a demon, you know. Look,

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Speaker 1: I eat soft fries, and I put these soft fries

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Speaker 1: I didn't love them. What does that mean? Just like

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Speaker 1: when you get like, you know, like when you get

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Speaker 1: like a fry and then you get that one like

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Speaker 1: loose one that's just like, oh, the one that's like

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Speaker 1: too oily, that's what you like. Yeah, that's weird. My

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Speaker 1: doctor says, I have some problems, but whatever, like you,

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Speaker 1: it's not just the fries, is that they're crispy, and

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Speaker 1: Miles likes a whole batch. That is, he likes in

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Speaker 1: and out. That's like, man, I go, I told you,

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Speaker 1: I go to step further. I asked them to funk

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Speaker 1: them up harder rare. You asked the medium rare? In

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Speaker 1: and out blue fries. Yeah, in and out the fries

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Speaker 1: are kind of garbage anyway, for sure. That's that is

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Speaker 1: the rational take. But allowed to say this because we're

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Speaker 1: from Los Angeles. The only way I lean into them

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Speaker 1: is to go like softer, Like I like a softer yeah, floppy.

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Speaker 1: That's why I said, like, I went to Seattle and

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Speaker 1: I went to keep bringing this up. Dicks in Seattle

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Speaker 1: had the best like meat like in between, where like

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Speaker 1: the edges were crispy but also a little bit soft.

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Speaker 1: I don't like eating like soft crunchy. You like a

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Speaker 1: steak fried like a little too massive, a little too massive. Yeah,

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Speaker 1: well you might as well give me a big potato

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Speaker 1: at that. You know. I had actually some really good

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Speaker 1: potato pancakes with the Red Lion the other day. You

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Speaker 1: ever get the potato pancakes there. Oh, they're fucking so

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Speaker 1: you might like them as a connoisseur of soft fries

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Speaker 1: because they're just like they're like a papoosa almost. They're

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Speaker 1: like they're they're not like a potato pancake, like a

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Speaker 1: like a Jewish potato pancake that's like a flash ground,

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Speaker 1: you know, like grated. These are truly like a blob

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Speaker 1: of mashed potatoes that's been like deep fried and then

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Speaker 1: so good. You got try to see you can ask

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Speaker 1: you one more question because now this is my show.

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Speaker 1: Do you like shoe string fries? Yeah? The best shoes

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Speaker 1: string onions, onion strings. Yeah, I think those are fucking

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Speaker 1: super underrated. Yeah, I mean not necessarily. You get the

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Speaker 1: softy boys in there, the softy brothers. Yeah, softy Brothers's

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Speaker 1: a couple of softy brothers onion strings, uncut fries. I

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Speaker 1: was picture in the ones that like come in a

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Speaker 1: can that are Now we're at an establishment. We're talking

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Speaker 1: about like a bloom and onion you mean, like those

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Speaker 1: frenches onion strings like they use, Like, yeah, yeah, I'm cultured,

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Speaker 1: so I work with frenches. You Does anybody prefer a

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Speaker 1: soft apple over a crisp apple like that? That's a

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Speaker 1: question because that is sicko like, But but apples persist,

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Speaker 1: Like there are plenty of apple strains that go pretty

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Speaker 1: mushy and stay on store shelves. And I'm just wondering

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Speaker 1: even an opinion that people have or is it just

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Speaker 1: a categorical failure of the apple. Part of the fun

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Speaker 1: of eating real food, eating real fruit is that you're

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Speaker 1: on Yeah yeah, you're playing apple roulette every time. Yeah,

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Speaker 1: well you get the bad apple in the chamber most

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Speaker 1: delicious apple. I do want to hear from any listeners

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Speaker 1: if you if you are a mushy apple person, I

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Speaker 1: don't just don't just take the opinion, but like, really,

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Speaker 1: if there is a mushy apple that you funk with,

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Speaker 1: like you're a I feel like red Delicious tent to

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Speaker 1: be on the mushier side. If you're like, red Delicious

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Speaker 1: is actually the best apple. But let me know because

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Speaker 1: I'm I am confused about the persistence of the red

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Speaker 1: Delicious and some of the other kind of mushier types

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Speaker 1: of Apple. All right, well, now that we've got the

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Speaker 1: important stuff out of the way, let's take a quick

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Speaker 1: break and we'll come back and talk about election results

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Speaker 1: and how different parts of the country are taking them.

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Speaker 1: And we're back, and yeah, I mean, it's a it's

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Speaker 1: a guilty pleasure, but I think it's something that a

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Speaker 1: lot of us do when when you know, during the

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Speaker 1: Trump administration, when he would suck up big time, or

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Speaker 1: you know, when a good thing would happen for Democrats,

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Speaker 1: like just pop over to Fox News watch the cognitive

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Speaker 1: dissonance happening in real time. So we we had a

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Speaker 1: clip on I think yesterday's episode where Jesse Waters was like,

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Speaker 1: this is guaranteed. We can everybody can just relax because

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Speaker 1: Biden's approval rating is here. And historically, every single time,

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Speaker 1: you know, two years after the presidential election, the winner

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Speaker 1: of that elections party gets owned. So get ready. It's

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Speaker 1: it's not a question of if it's a question of

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Speaker 1: how massive and destructive the tsunami wound. It doesn't even

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Speaker 1: matter if we're going all out on forced birth, like

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Speaker 1: taking away medicaid, fucking up our quote unquote democracy because

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Speaker 1: Biden it's and it's a mid term and Bidens approvals

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Speaker 1: are low and inflation, so I think we're good. Um, yeah,

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Speaker 1: the confidence was wild. Like I'll play this one from

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Speaker 1: old Steve Doocey on Fox and Friends. This was the

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Speaker 1: This was about last Thursday when he first This is

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Speaker 1: a juxtaposition of him talking about the election going from

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Speaker 1: last Thursday and then it immediately smashes into Wednesday morning.

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Speaker 1: What is actually happening? The Democrats probably should say, you

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Speaker 1: know what, we put too much emphasis on abortion and

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Speaker 1: the threat to democracy and not enough emphasis on kitchen

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Speaker 1: table stuff. Abortion and democracy were the two of the

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Speaker 1: biggest issues with voters him this morning. The first one

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Speaker 1: he is has just the most shittyed and grin like

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Speaker 1: trying to stop him from breaking into an ear to

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Speaker 1: ear smile. He's like, these guys are fucked. Here's another

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Speaker 1: one despite that, This this one is the one in

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Speaker 1: which this guy is like, oh, yeah, we got smashed.

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Speaker 1: But the Dobbs decision, though, folks, come on now, I'm

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Speaker 1: so happy with the dobs decision. If we don't have

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Speaker 1: a great red wave Mittram and it was the abortion issue,

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Speaker 1: the Dobbs decision. We will take that every day of

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Speaker 1: the week. So still a win for pro lifers. H

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Speaker 1: uh huh huh. Okay, that's another weird. Uh, don't worry,

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Speaker 1: it's all good. Whereas this one, Oh, here's another one

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Speaker 1: speaking of like abortion. This was just my goodness, like, uh,

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Speaker 1: just on Fox this morning, them trying to figure out

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Speaker 1: what's going on. This is the distillation from Fox News

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Speaker 1: about like why the Republicans lost. Then listen closely exactly

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Speaker 1: why you have the best example of Michigan unbelievable. Say

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Speaker 1: house flips, it sent up flips. Six months ago you

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Speaker 1: would have written what went Moro off pre dabs. She

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Speaker 1: wins handily. Um, in five states had abortion referendums, including

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Speaker 1: my home state of Montana. All of them passed. And

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Speaker 1: this abortion is becoming the issue that's driving turnout last night,

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Speaker 1: excep Poles, you guys talked about it earlier. Democrats win

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Speaker 1: independence in a non presidentially you're just no pulse all

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Speaker 1: that coming. And it was because these women just went crazy. Okay,

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Speaker 1: like I'm sorry, what women went he said, The girls

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Speaker 1: went wild? The girls have come yeah. I mean like

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Speaker 1: shout out to you know, Jim Messina Farmer Obama chief

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Speaker 1: of staff there, but like that's who that was. Yeah, yeah, yeah,

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Speaker 1: just given his punditues, like you know, and they just

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Speaker 1: went crazy out there. That's how That's how they responded. Sure,

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Speaker 1: that's That's another one. And then this one was just

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Speaker 1: truly just funny because they're trying to figure out, like

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Speaker 1: what happened with the Doctor Oz Federman race where John

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Speaker 1: Federman one draws lost and I just like this really

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Speaker 1: great sound bite on Fox and Fronts too of just

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Speaker 1: trying to figure out what happened there with voters when

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Speaker 1: it comes to the state of Pennsylvania. Why did doctor

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Speaker 1: Oz lose? Well, it looks like according to the exit polling,

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Speaker 1: it's because Federman one. Yeah, oh okay, okay, oh the analysis.

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Speaker 1: I'll just let me just hear the rest of that club.

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Speaker 1: Every time I heard it, I just stopped and paused

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Speaker 1: it started laughing every time I fucking heard that. This

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Speaker 1: is the rest of that. It's because Federman one. Fetterman

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Speaker 1: got fifty seven percent of the independence, Federman got sixty

401
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Speaker 1: seven percent of Hispanics. He got filled. So now he's

402
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Speaker 1: just talking about how there's literally plus one majority, like

403
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Speaker 1: literally describing what an election victory is. It sounds like

404
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Speaker 1: there votes. I feel like television news punditry has never

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Speaker 1: been less relevant than it is now, right, Like nobody

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Speaker 1: needs that ship anymore with the Internet. Nobody except to

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Speaker 1: certain people at a certain age who do still watch

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Speaker 1: cable news and one who need to be told like, hey, dude,

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Speaker 1: what you're feeling is like accurate. I saw post yesterday

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Speaker 1: to about like I think it was the fifties about

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Speaker 1: the first ever televised election results, which I thought was

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Speaker 1: really interesting, just about like how we created this format

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Speaker 1: of how we see things. But the night before too,

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Speaker 1: when the powerball thing went left, were you guys watching that?

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Speaker 1: Did you buy lottery tickets? No? But I know no.

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Speaker 1: I was that. It was just incredible because it was

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Speaker 1: like I was watching a local news broadcast from like Florida,

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Speaker 1: So I was just like, where can I see them

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Speaker 1: draw the powerball? And then they were just waiting for

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Speaker 1: the results, and then they were just like, uh, something's happened.

421
00:25:49,040 --> 00:25:52,040
Speaker 1: That's like it's it's fucked up. And then these two

422
00:25:52,160 --> 00:25:55,359
Speaker 1: just like local news anchors. I just watched them vamp

423
00:25:55,560 --> 00:26:00,399
Speaker 1: for like so long, you know, like it. And at

424
00:26:00,480 --> 00:26:02,960
Speaker 1: first they're like, okay, well, like we're just gonna talk

425
00:26:02,960 --> 00:26:04,840
Speaker 1: a little bit about the powerball while we wait for

426
00:26:04,880 --> 00:26:07,159
Speaker 1: them to get the powerball numbers. And then you just

427
00:26:07,280 --> 00:26:09,639
Speaker 1: like see it dawn on them, like the powerball numbers

428
00:26:09,720 --> 00:26:14,879
Speaker 1: just like aren't coming tonight, you know, right right, And

429
00:26:15,000 --> 00:26:19,560
Speaker 1: I was just like, wow, these people are great broadcasters, right, Yeah,

430
00:26:19,720 --> 00:26:23,160
Speaker 1: it's I mean that's the way. Is that why it's

431
00:26:23,240 --> 00:26:31,320
Speaker 1: podcasters because it's like a broadcaster, yeah, on broadcast. Yeah,

432
00:26:31,920 --> 00:26:33,800
Speaker 1: it was. It was because of the iPod, right that

433
00:26:33,880 --> 00:26:36,080
Speaker 1: we got the podcast even if yeah, I hate that.

434
00:26:36,359 --> 00:26:39,120
Speaker 1: I hate that because they don't even have iPods anymore. Yeah,

435
00:26:39,320 --> 00:26:43,320
Speaker 1: fuck it. This is called pirate radio, that's right, you know,

436
00:26:43,920 --> 00:26:46,720
Speaker 1: brought to you by your smartphone. But I mean I

437
00:26:46,800 --> 00:26:49,280
Speaker 1: think this is the thing with like all just all

438
00:26:49,440 --> 00:26:52,160
Speaker 1: coverage in general. It was just so fucking all over

439
00:26:52,240 --> 00:26:54,600
Speaker 1: the place going into this, right, Like we were spending

440
00:26:54,640 --> 00:26:56,080
Speaker 1: the day before being like I don't know what the

441
00:26:56,160 --> 00:26:59,400
Speaker 1: fuss is going to happen, Like, well that's the polsters

442
00:26:59,480 --> 00:27:03,440
Speaker 1: will spend the day saying people do polls whose entire

443
00:27:03,560 --> 00:27:07,200
Speaker 1: job is this which they have a very hard job

444
00:27:07,200 --> 00:27:10,320
Speaker 1: because nobody talks to them anymore. But that is still

445
00:27:10,920 --> 00:27:16,120
Speaker 1: headline news, is them being like we don't know, right, yeah,

446
00:27:16,240 --> 00:27:18,400
Speaker 1: And it's just like, you know, at first, people were

447
00:27:18,440 --> 00:27:22,159
Speaker 1: truly like we're looking at spiking registration numbers, you know

448
00:27:22,280 --> 00:27:25,800
Speaker 1: for Democrats, huge turnouts in like these special elections around

449
00:27:25,880 --> 00:27:30,359
Speaker 1: abortion access, and thought like, oh wow, maybe discarding human

450
00:27:30,480 --> 00:27:33,440
Speaker 1: rights isn't a good electoral play and like that made

451
00:27:33,520 --> 00:27:36,280
Speaker 1: Democrats real lazy on the messaging. And then they're just like,

452
00:27:36,680 --> 00:27:38,359
Speaker 1: all right, let's go to the Hey, at least we're

453
00:27:38,400 --> 00:27:40,560
Speaker 1: not them playbook, and that's what they're running for the

454
00:27:40,640 --> 00:27:43,000
Speaker 1: last couple of months. Then the polls are starting to

455
00:27:43,359 --> 00:27:47,359
Speaker 1: shift quote unquote, like places like Pennsylvania or Nevada, North Carolina,

456
00:27:47,400 --> 00:27:51,560
Speaker 1: fucking everywhere, and anything that seemed competitive or leaned dem

457
00:27:51,800 --> 00:27:53,800
Speaker 1: was starting to look like a six point blowout for

458
00:27:53,920 --> 00:27:57,680
Speaker 1: the GOP. Then like places like CNN and MSNBC hopped

459
00:27:57,720 --> 00:28:02,520
Speaker 1: onto like is Fetterman actually I'd train and piled on

460
00:28:03,119 --> 00:28:06,280
Speaker 1: to like the there's the red wave nonsense and so

461
00:28:06,520 --> 00:28:09,680
Speaker 1: just like it's just so weird again, how like that

462
00:28:09,880 --> 00:28:14,080
Speaker 1: whole class or that whole industry is like so like

463
00:28:14,200 --> 00:28:16,760
Speaker 1: there they are so like of the same mind, just

464
00:28:16,920 --> 00:28:20,240
Speaker 1: different versions of it because they're everyone was sort of

465
00:28:20,359 --> 00:28:22,840
Speaker 1: bracing themselves. They're always looking for a narrative, and then

466
00:28:22,880 --> 00:28:25,359
Speaker 1: once they like manufacture the narrative, they all are like,

467
00:28:25,520 --> 00:28:28,680
Speaker 1: this is what's happening. The red happening, and you see

468
00:28:28,720 --> 00:28:31,399
Speaker 1: and and I think it's just like as a viewer,

469
00:28:32,240 --> 00:28:34,879
Speaker 1: you've you've had the football pulled away from you so

470
00:28:35,040 --> 00:28:38,000
Speaker 1: many times with this thing. Now, why would you ever

471
00:28:38,200 --> 00:28:40,800
Speaker 1: trust that they know what they're talking about? You know,

472
00:28:41,360 --> 00:28:44,720
Speaker 1: like nobody has that gravity of like, oh, I trust

473
00:28:44,840 --> 00:28:48,080
Speaker 1: this Walter Cronkite figure to tell me what's happening in America.

474
00:28:49,000 --> 00:28:51,840
Speaker 1: I just feel like it's like, you know, if you

475
00:28:51,920 --> 00:28:54,960
Speaker 1: watched the Hillary Trump coverage and everybody was like, well,

476
00:28:55,040 --> 00:28:57,200
Speaker 1: she's got it in the bag, no problem, you know,

477
00:28:58,560 --> 00:29:00,800
Speaker 1: and and then you watch what happened. But also like

478
00:29:01,120 --> 00:29:06,120
Speaker 1: in the w election, like I just remember watching the

479
00:29:06,200 --> 00:29:10,360
Speaker 1: news media kind of manufacturer consent for w and be like, Wow,

480
00:29:10,440 --> 00:29:14,240
Speaker 1: he's so folksy, everybody loves him. While you're watching the

481
00:29:14,320 --> 00:29:17,240
Speaker 1: debates and being like he's a fucking idiot, right, Like

482
00:29:18,240 --> 00:29:21,040
Speaker 1: are we watching the same thing? Like he's a dumbass

483
00:29:21,200 --> 00:29:24,960
Speaker 1: and yeah, al Gore's boring, but he's tall. He wants

484
00:29:25,040 --> 00:29:27,800
Speaker 1: to fucking fix the environment or whatever, you know, and

485
00:29:27,920 --> 00:29:31,960
Speaker 1: being like, wow, this cowboy, sharp shooting billy over here,

486
00:29:32,120 --> 00:29:34,320
Speaker 1: you know, can't fight with that. I want to have

487
00:29:34,400 --> 00:29:38,800
Speaker 1: a beer with that. Coke addict though, former coke addict,

488
00:29:40,320 --> 00:29:44,680
Speaker 1: former beer yeah, former, But yeah, I think it's just

489
00:29:44,880 --> 00:29:49,880
Speaker 1: like you have to watch it like like entertainment rather

490
00:29:50,040 --> 00:29:54,160
Speaker 1: than think. And so many it's and that's what I

491
00:29:54,240 --> 00:29:56,320
Speaker 1: think is so confusing for people who would just look

492
00:29:56,360 --> 00:29:59,040
Speaker 1: at the news like read like the New York Times

493
00:29:59,120 --> 00:30:01,760
Speaker 1: headline was so thing really fucking weird. I forget what

494
00:30:01,880 --> 00:30:04,680
Speaker 1: it was. New York Times is right weight and paper. Yeah,

495
00:30:04,760 --> 00:30:07,840
Speaker 1: I mean like, but for people who still that, they're

496
00:30:07,920 --> 00:30:11,640
Speaker 1: not like able to really analyze their media diet and

497
00:30:11,800 --> 00:30:14,720
Speaker 1: understand like what forces are at play and the coverage

498
00:30:14,760 --> 00:30:17,520
Speaker 1: that they're like reading where like you know, like talking

499
00:30:17,560 --> 00:30:19,360
Speaker 1: about the New York Times and how much they're like,

500
00:30:19,600 --> 00:30:21,200
Speaker 1: you know, we talk about all the work out care

501
00:30:21,320 --> 00:30:24,000
Speaker 1: Ka Sanders does talking about Oh yeah, they're only they're

502
00:30:24,040 --> 00:30:26,640
Speaker 1: only fucking source for these crime wave stories are the

503
00:30:26,760 --> 00:30:31,320
Speaker 1: fucking police, Like that's just journalism straight up. Well that's

504
00:30:31,320 --> 00:30:34,320
Speaker 1: all newspapers just print police reports as though they're like

505
00:30:34,640 --> 00:30:36,920
Speaker 1: telling them local news for sure. And I think it's

506
00:30:36,920 --> 00:30:40,280
Speaker 1: a lot of what Heidi World yield. Heidi World. Check

507
00:30:40,320 --> 00:30:47,560
Speaker 1: it out. It goes into a months old, months old world.

508
00:30:48,240 --> 00:30:52,600
Speaker 1: It's managed to still be relevant months as I was

509
00:30:52,600 --> 00:30:54,800
Speaker 1: thinking about it the other day because um, because there's

510
00:30:54,840 --> 00:30:57,320
Speaker 1: this big story came out about Less moonvest from CBS

511
00:30:57,360 --> 00:31:01,960
Speaker 1: working with the l A cover up sexual assault, and

512
00:31:02,080 --> 00:31:04,080
Speaker 1: it's just like, man, the l a p D are

513
00:31:04,160 --> 00:31:08,800
Speaker 1: always if you're like, who's the who's the villain here,

514
00:31:08,920 --> 00:31:11,560
Speaker 1: who's the creep? Oh, it's the l a p D.

515
00:31:12,040 --> 00:31:16,000
Speaker 1: And that cop who tipped off Moonvez Chris Pratt's dad. Okay,

516
00:31:16,480 --> 00:31:21,680
Speaker 1: full circle, No, I'm joking. I was totally just ready

517
00:31:21,760 --> 00:31:25,320
Speaker 1: to everyone like, wait, what Chris Pratt is going to

518
00:31:25,400 --> 00:31:28,120
Speaker 1: play him in a movie about how he's a heroic

519
00:31:28,240 --> 00:31:32,680
Speaker 1: officer protecting powerful from conferences. Yeah, but you know, like

520
00:31:32,840 --> 00:31:35,800
Speaker 1: right now we're not we don't know where like the

521
00:31:35,920 --> 00:31:38,080
Speaker 1: majorities are lying at this point in terms of the

522
00:31:38,280 --> 00:31:41,240
Speaker 1: House or Senate. But like I'm like the Democrats feel

523
00:31:41,280 --> 00:31:42,800
Speaker 1: like they did a good job, Like, hey, all those

524
00:31:42,840 --> 00:31:46,040
Speaker 1: weirdos we propped up, they fucking like lost. Okay, so

525
00:31:46,200 --> 00:31:48,800
Speaker 1: like we're able to skate through without really committing to anything.

526
00:31:49,200 --> 00:31:51,880
Speaker 1: But it's just a little wild when you're like, you know,

527
00:31:52,280 --> 00:31:54,760
Speaker 1: they won by merely getting enough people in touch with

528
00:31:54,880 --> 00:31:57,920
Speaker 1: the existential threats that they aren't willing to address. I

529
00:31:58,000 --> 00:32:01,000
Speaker 1: think that's like young people turned out. That's the whole thing, right,

530
00:32:01,200 --> 00:32:03,640
Speaker 1: was that gen Z was like, Bro, you got to

531
00:32:03,720 --> 00:32:07,000
Speaker 1: have abortions right there, like oh ship, and that's that

532
00:32:07,160 --> 00:32:08,720
Speaker 1: was all it to like get them in touch with

533
00:32:08,800 --> 00:32:11,680
Speaker 1: the exit again, get them in touch with the existential

534
00:32:11,800 --> 00:32:15,800
Speaker 1: threats we are unwilling to address. Because what what are you'll, like,

535
00:32:15,960 --> 00:32:19,200
Speaker 1: what happened to codifying anything? Yeah, I think people know

536
00:32:19,440 --> 00:32:23,000
Speaker 1: that the earth is on fire and that if we don't, Yeah,

537
00:32:23,280 --> 00:32:25,560
Speaker 1: I think I just was surprised because I'm like, everything

538
00:32:25,640 --> 00:32:28,000
Speaker 1: is so rigged. There's nothing you can even do about it,

539
00:32:28,560 --> 00:32:32,000
Speaker 1: you know. I'm I'm just like, when you watch the

540
00:32:32,040 --> 00:32:34,040
Speaker 1: cycles of this stuff, it gets really hard to have

541
00:32:34,200 --> 00:32:37,200
Speaker 1: like a ray of hope about anything. Yeah. And this

542
00:32:37,440 --> 00:32:40,320
Speaker 1: was and this did go against the you know, previous

543
00:32:40,480 --> 00:32:42,960
Speaker 1: historical trea And this might just be my core like

544
00:32:43,480 --> 00:32:46,960
Speaker 1: half Jewish, half Irish Catholic temperament is to just like,

545
00:32:47,880 --> 00:32:51,160
Speaker 1: assume the worst possible thing is going to happen, and

546
00:32:51,200 --> 00:32:57,280
Speaker 1: then if it doesn't be like for now, you win

547
00:32:57,440 --> 00:33:01,280
Speaker 1: today earth. You know, it does seem like I mean,

548
00:33:01,600 --> 00:33:04,480
Speaker 1: one of the big things that was supposedly driving the

549
00:33:04,680 --> 00:33:08,760
Speaker 1: red wave that never happened was this idea that crime

550
00:33:08,840 --> 00:33:10,960
Speaker 1: was out of control and that Republicans were going to

551
00:33:11,080 --> 00:33:14,240
Speaker 1: come through and you know, capitalize on that. But I

552
00:33:14,280 --> 00:33:16,960
Speaker 1: mean that wasn't just Republicans. That's like the l am

553
00:33:17,240 --> 00:33:21,360
Speaker 1: oral race and all these crazy endorsements yesterday from celebrities

554
00:33:21,440 --> 00:33:24,120
Speaker 1: who you know, everybody's like, why would like Snoop Dogg

555
00:33:24,200 --> 00:33:27,200
Speaker 1: and Katie Perry endorse Rick Cruso. It's like he clearly

556
00:33:27,280 --> 00:33:29,440
Speaker 1: paid a PR firm like a billion you know, he

557
00:33:29,560 --> 00:33:34,320
Speaker 1: clearly paid them because they're clear billionaires and that he

558
00:33:34,480 --> 00:33:36,800
Speaker 1: just paid them and they are endorsing him because he

559
00:33:36,840 --> 00:33:41,320
Speaker 1: paid them. But yeah, like like there is this you know,

560
00:33:41,480 --> 00:33:45,320
Speaker 1: upper class sentiment in Los Angeles of like, you know,

561
00:33:45,440 --> 00:33:49,640
Speaker 1: people hating the homeless and people above a certain tax

562
00:33:49,720 --> 00:33:52,040
Speaker 1: bracket being like, well, we can't have that on my

563
00:33:52,200 --> 00:33:56,000
Speaker 1: streets of the house that I own because property values,

564
00:33:56,600 --> 00:33:59,640
Speaker 1: which is wild too, because for all the Chris Pratt's

565
00:33:59,680 --> 00:34:04,320
Speaker 1: and Haiti Perry's. They're like, I've seen first hand what's happened.

566
00:34:04,760 --> 00:34:06,840
Speaker 1: You're from Santa Barbara full get the funk out of here,

567
00:34:06,840 --> 00:34:08,640
Speaker 1: and Christ but you're not from here either, so what

568
00:34:08,719 --> 00:34:10,359
Speaker 1: the funk do you know? And plus by the time

569
00:34:10,440 --> 00:34:12,040
Speaker 1: you got here, you were you don't think you were

570
00:34:12,080 --> 00:34:15,320
Speaker 1: living in neighborhoods that had on housed people. I also like,

571
00:34:15,400 --> 00:34:18,399
Speaker 1: I watched this documentary yesterday about a couple of days

572
00:34:18,400 --> 00:34:21,360
Speaker 1: ago about the Automat in New York, the like cafeteria,

573
00:34:21,400 --> 00:34:25,640
Speaker 1: old timey cafeteria windows you could pull out, the like

574
00:34:25,760 --> 00:34:30,040
Speaker 1: you're and it's about that, and it's just old like

575
00:34:30,200 --> 00:34:33,600
Speaker 1: old celebrities being like you could go and get coffee

576
00:34:33,640 --> 00:34:36,320
Speaker 1: for a nickel, and then it takes this insane twist

577
00:34:36,400 --> 00:34:39,319
Speaker 1: in the middle where it's like and then they tried

578
00:34:39,400 --> 00:34:43,919
Speaker 1: to unionize, and we busted the union, and then mysteriously

579
00:34:44,000 --> 00:34:48,760
Speaker 1: the automatics declined and it was because all of a sudden,

580
00:34:48,840 --> 00:34:51,759
Speaker 1: like homeless people could hang out there in midtown and

581
00:34:51,840 --> 00:34:54,279
Speaker 1: so they became a horrible place to go because of

582
00:34:54,320 --> 00:34:56,960
Speaker 1: all the homeless people. It was crazy. I was truly

583
00:34:57,040 --> 00:34:59,200
Speaker 1: like mad at this documentary because it was very like

584
00:35:00,000 --> 00:35:02,840
Speaker 1: seemed innocuous and then ended up blaming the homeless for

585
00:35:02,920 --> 00:35:06,000
Speaker 1: the decline of public space. And I was like, you mean,

586
00:35:06,160 --> 00:35:10,040
Speaker 1: Ronald Reagan, bro no, I had. I had some of

587
00:35:10,120 --> 00:35:13,560
Speaker 1: the best financial years of my career under the Reagan administration.

588
00:35:13,640 --> 00:35:16,720
Speaker 1: I will not bite the hand that using a sentiment

589
00:35:16,800 --> 00:35:19,200
Speaker 1: from those people, well, you are the the wolf of

590
00:35:19,239 --> 00:35:24,400
Speaker 1: ball Street. Yeah, it does. I mean it's too early

591
00:35:24,520 --> 00:35:27,920
Speaker 1: to say, like to pull too much detailed like messaging

592
00:35:28,160 --> 00:35:30,719
Speaker 1: out of this, but like there does seem to be

593
00:35:31,600 --> 00:35:33,680
Speaker 1: you know, we we were talking about it felt like

594
00:35:33,760 --> 00:35:36,720
Speaker 1: there was extra wind behind anyone who could position themselves

595
00:35:36,800 --> 00:35:42,160
Speaker 1: as being outside of the like business as usual political mainstream.

596
00:35:42,560 --> 00:35:46,759
Speaker 1: I think, well, I think the left obviously like has

597
00:35:46,840 --> 00:35:49,840
Speaker 1: a little bit of that that like the mainstream Democrats

598
00:35:49,880 --> 00:35:52,359
Speaker 1: don't really want to engage with them. They're always trying

599
00:35:52,400 --> 00:35:54,680
Speaker 1: to be like it's raight, you know, these radical positions

600
00:35:54,719 --> 00:35:57,160
Speaker 1: are the reason that like, you know, we're losing it's

601
00:35:57,200 --> 00:36:01,800
Speaker 1: because because of you know, leftists. Then it just becomes

602
00:36:01,840 --> 00:36:07,040
Speaker 1: increasingly clear that the leftist positions, the basic freedoms and

603
00:36:07,200 --> 00:36:10,799
Speaker 1: basic quality of life ship is really important to people,

604
00:36:11,360 --> 00:36:15,839
Speaker 1: and you know, we absolutely need like a new deal

605
00:36:16,200 --> 00:36:20,480
Speaker 1: type thing that re establishes, you know, some kind of

606
00:36:20,560 --> 00:36:23,560
Speaker 1: safety net for people in this country, which again is

607
00:36:23,640 --> 00:36:28,600
Speaker 1: like the fucking reason we have a homeless problem, you know, nationwide,

608
00:36:28,760 --> 00:36:31,960
Speaker 1: is because there are no safety nets for people in America.

609
00:36:32,040 --> 00:36:34,560
Speaker 1: And this bootstrapping ship we've been doing since the eighties,

610
00:36:35,600 --> 00:36:38,800
Speaker 1: it clearly doesn't work. Stopped buying that, I hope so

611
00:36:39,120 --> 00:36:41,880
Speaker 1: because they also just think it's like everybody's fucking broke,

612
00:36:42,520 --> 00:36:45,560
Speaker 1: and so even people that like make a good living,

613
00:36:45,640 --> 00:36:49,040
Speaker 1: it's like cost of living is so high, rent is

614
00:36:49,120 --> 00:36:51,520
Speaker 1: so fucking high, and like no one can afford to

615
00:36:51,560 --> 00:36:56,000
Speaker 1: buy a house. So people are seeing just like you know, concrete,

616
00:36:56,480 --> 00:37:00,479
Speaker 1: like this sucks everything. The rent is too damn high. Yeah,

617
00:37:00,840 --> 00:37:04,600
Speaker 1: and they want other stuff. The way Republicans stepped outside

618
00:37:04,640 --> 00:37:07,040
Speaker 1: of the mainstream seemed to be too in a lot

619
00:37:07,080 --> 00:37:11,000
Speaker 1: of cases. Focus on like the Q and on Republicans

620
00:37:11,080 --> 00:37:15,320
Speaker 1: did like the fascist When things are going really bad,

621
00:37:15,960 --> 00:37:21,520
Speaker 1: the fascists say it's because of you know, whatever minority

622
00:37:21,800 --> 00:37:24,960
Speaker 1: is doing it to you. And obviously there's been a

623
00:37:25,040 --> 00:37:27,759
Speaker 1: lot of sucking anti Semitism coming back, which is like

624
00:37:27,880 --> 00:37:32,040
Speaker 1: classic and like times of turmoil. That's why anti semitism

625
00:37:32,160 --> 00:37:35,080
Speaker 1: got so popular in Germany after the Wars because everybody

626
00:37:35,280 --> 00:37:38,759
Speaker 1: was in Germany had lost their ship in World War

627
00:37:38,920 --> 00:37:42,840
Speaker 1: One and Germany was doing really bad, and everybody was like,

628
00:37:43,440 --> 00:37:46,320
Speaker 1: whose fault is it? It can't be the fault of like,

629
00:37:46,560 --> 00:37:51,879
Speaker 1: you know, international fucking markets. It must be the Jew,

630
00:37:52,400 --> 00:37:56,400
Speaker 1: the wandering Jew, who's you know, traveling from land to

631
00:37:56,480 --> 00:38:00,440
Speaker 1: land creating chaos. So I think I'm just Nicole. I

632
00:38:00,600 --> 00:38:02,600
Speaker 1: was just like, Wow, everyone's really gonna go for that.

633
00:38:03,080 --> 00:38:06,279
Speaker 1: You know, everyone's gonna We're just gonna slide deeper and

634
00:38:06,320 --> 00:38:09,239
Speaker 1: deeper into fascism forever. But I do also feel like

635
00:38:09,280 --> 00:38:12,279
Speaker 1: I see in real life that like people are energized

636
00:38:12,400 --> 00:38:15,560
Speaker 1: and organizing locally because things are so bad and they

637
00:38:15,600 --> 00:38:18,680
Speaker 1: want to do something and they know that government is

638
00:38:18,760 --> 00:38:23,799
Speaker 1: kind of useless. Yeah, I think that was the one

639
00:38:23,960 --> 00:38:26,759
Speaker 1: thing that I was surprised by, how like, I think

640
00:38:26,800 --> 00:38:28,960
Speaker 1: we knew this at a certain point. We're like, man,

641
00:38:29,040 --> 00:38:32,040
Speaker 1: people don't really seem to like want to keep talking

642
00:38:32,080 --> 00:38:37,400
Speaker 1: about like some conspiracy theory around the election because like

643
00:38:37,520 --> 00:38:41,120
Speaker 1: that doesn't really affect their lives and like the things

644
00:38:41,160 --> 00:38:43,760
Speaker 1: that are impacting them on a day to day basis.

645
00:38:43,960 --> 00:38:47,280
Speaker 1: And the I think it's also like those people lose

646
00:38:47,440 --> 00:38:51,320
Speaker 1: interest if you're like the type of person who's attracted

647
00:38:51,360 --> 00:38:54,879
Speaker 1: to every like shiny new conspiracy theory babble and you're

648
00:38:54,920 --> 00:38:58,640
Speaker 1: following a trail of of breadcrumbs or whatever and then

649
00:38:58,719 --> 00:39:02,520
Speaker 1: nothing ever comes of it, Like you're gonna get bored eventually. Yeah,

650
00:39:03,080 --> 00:39:05,200
Speaker 1: they have to have some kind of like reward for

651
00:39:05,520 --> 00:39:10,960
Speaker 1: for following this you know, insane. Yeah. There, there's just

652
00:39:11,400 --> 00:39:14,799
Speaker 1: everybody's just at this like really high up level where

653
00:39:15,080 --> 00:39:19,759
Speaker 1: clearly like the disconnected nous of you know, people that

654
00:39:19,880 --> 00:39:22,560
Speaker 1: are at the heights of like like that our news

655
00:39:22,719 --> 00:39:26,160
Speaker 1: and our media and things like that are like everyone

656
00:39:26,239 --> 00:39:28,920
Speaker 1: at the same time, like, yo, the status quo ain't working.

657
00:39:29,080 --> 00:39:31,480
Speaker 1: Like they're trying to bang on a fucking broken TV

658
00:39:31,920 --> 00:39:34,320
Speaker 1: and they're like what the fuck. It's looks like everybody

659
00:39:34,360 --> 00:39:37,160
Speaker 1: on TV is like a private jet. But the issue

660
00:39:37,320 --> 00:39:39,960
Speaker 1: like there is just sort of that there's because of this,

661
00:39:40,160 --> 00:39:43,120
Speaker 1: like because of them trying to uphold this just obviously

662
00:39:43,360 --> 00:39:48,040
Speaker 1: broken pattern of governance. At the same time, it's shading people,

663
00:39:48,400 --> 00:39:51,640
Speaker 1: like and people are starting to understand that man, a

664
00:39:51,719 --> 00:39:53,839
Speaker 1: lot of the ship that they're offering as solutions are

665
00:39:53,880 --> 00:39:56,120
Speaker 1: not solutions. The things that they're saying, problems are not

666
00:39:56,200 --> 00:39:58,799
Speaker 1: actual problems that are affecting me and my day to day,

667
00:39:58,920 --> 00:40:01,240
Speaker 1: So what the funk is actually going to be different?

668
00:40:01,280 --> 00:40:03,400
Speaker 1: And I think that's why so many people were just

669
00:40:03,480 --> 00:40:05,719
Speaker 1: kind of like looking at the coverage and being like, yeah,

670
00:40:05,760 --> 00:40:07,400
Speaker 1: I don't know, like I guess this is what it is.

671
00:40:07,520 --> 00:40:10,720
Speaker 1: Like people aren't really connecting the dots with inflation or whatever,

672
00:40:10,800 --> 00:40:13,319
Speaker 1: but it seemed like they were despite that. They were

673
00:40:13,480 --> 00:40:16,880
Speaker 1: They're saying, yeah, inflation is bad, rather the corporate profiteering

674
00:40:17,040 --> 00:40:19,600
Speaker 1: is bad at the moment that we're calling inflation. And

675
00:40:20,040 --> 00:40:22,480
Speaker 1: I still rather like, at the end of the day

676
00:40:22,480 --> 00:40:25,520
Speaker 1: of the priorities, are these other larger threats to me

677
00:40:25,600 --> 00:40:29,280
Speaker 1: that I've identified, rather than people normally saying, here's the playbook,

678
00:40:29,560 --> 00:40:32,919
Speaker 1: full numbers are low. Just ring the inflation things, talk

679
00:40:32,960 --> 00:40:36,040
Speaker 1: about the gas prices and that will bring all the right.

680
00:40:36,160 --> 00:40:38,759
Speaker 1: I mean, there's like that quote I forget maybe it's

681
00:40:38,800 --> 00:40:41,320
Speaker 1: ups in Sinclair where it's like, you know, everybody in

682
00:40:41,560 --> 00:40:46,759
Speaker 1: America thinks they're temporarily embarrassed millionaire, and that's like also

683
00:40:46,880 --> 00:40:48,960
Speaker 1: the promise of Trump is like, you know, you're going

684
00:40:49,040 --> 00:40:52,239
Speaker 1: to be rich like me. We're all going to be businessmen.

685
00:40:53,280 --> 00:40:55,680
Speaker 1: And again, I think people are just so broke that

686
00:40:55,719 --> 00:40:57,879
Speaker 1: I wouldn't be shocked if even people on the right,

687
00:40:58,239 --> 00:41:01,200
Speaker 1: you know, are like, I'm I'm not going to be

688
00:41:01,440 --> 00:41:05,400
Speaker 1: rich it turns out, you know, and also worse than that,

689
00:41:05,680 --> 00:41:09,440
Speaker 1: I might be like too broke to live and be

690
00:41:09,640 --> 00:41:13,680
Speaker 1: actively harmed by the current like market led status quo

691
00:41:13,920 --> 00:41:16,680
Speaker 1: where we just trust bankers to like invest and like

692
00:41:16,840 --> 00:41:20,400
Speaker 1: make all decisions behind closed doors with like established And

693
00:41:21,840 --> 00:41:24,719
Speaker 1: I think most people can see that they're closer to

694
00:41:24,800 --> 00:41:27,279
Speaker 1: homelessness than they are to being a millionaire. You know

695
00:41:27,800 --> 00:41:33,480
Speaker 1: that if the if the aero spins, you're more you know,

696
00:41:33,600 --> 00:41:36,760
Speaker 1: you have a much higher chance of falling into abject poverty.

697
00:41:37,080 --> 00:41:39,160
Speaker 1: And just the way this country is set up is

698
00:41:39,200 --> 00:41:43,239
Speaker 1: like a fucking shitty carnival game where it's like, yeah,

699
00:41:43,239 --> 00:41:44,759
Speaker 1: I don't know. I think people some of the things

700
00:41:44,840 --> 00:41:47,320
Speaker 1: that I don't know. Maybe it's a little encouraging that

701
00:41:47,480 --> 00:41:50,480
Speaker 1: some of the things that seemed like talking points that

702
00:41:50,600 --> 00:41:54,200
Speaker 1: were like so far left nobody could understand why you

703
00:41:54,239 --> 00:41:57,000
Speaker 1: should just have free healthcare instead of having it tied

704
00:41:57,040 --> 00:41:59,960
Speaker 1: to employment as they make employment like more and more

705
00:42:00,000 --> 00:42:04,120
Speaker 1: are hard to sustain. You know, those are starting to

706
00:42:04,200 --> 00:42:07,080
Speaker 1: feel like people people are like, yeah, why is the

707
00:42:07,160 --> 00:42:10,080
Speaker 1: government we pay taxes? They should go to something that

708
00:42:11,320 --> 00:42:15,480
Speaker 1: actually helps everybody. Right, It does seem like there are

709
00:42:15,800 --> 00:42:19,799
Speaker 1: clear lessons the Democrats should take away from this. They

710
00:42:19,840 --> 00:42:23,239
Speaker 1: are not gonna boy or they ever gonna they're going

711
00:42:23,320 --> 00:42:26,960
Speaker 1: to fumble it. The thing that Fetterman had was seeming

712
00:42:27,040 --> 00:42:30,279
Speaker 1: like he was outside and also like talking about solutions,

713
00:42:30,360 --> 00:42:33,879
Speaker 1: like having like pretty standard talking points that he came

714
00:42:33,920 --> 00:42:36,800
Speaker 1: back to, and I think it's like he's such a

715
00:42:36,920 --> 00:42:40,160
Speaker 1: you know, they're gonna they're gonna suck it up, obviously,

716
00:42:40,760 --> 00:42:45,400
Speaker 1: But it does seem like with Fetterman, there's this clear

717
00:42:46,680 --> 00:42:52,080
Speaker 1: precedent now of like get like a real fucking working

718
00:42:52,120 --> 00:42:57,000
Speaker 1: class hero guy who doesn't look like a like a

719
00:42:57,440 --> 00:43:00,880
Speaker 1: you know, groomed for TV politician. Him and Bill Belichick

720
00:43:01,160 --> 00:43:05,960
Speaker 1: used the same stylist. I know, you're gonna see like

721
00:43:06,080 --> 00:43:08,960
Speaker 1: Nancy Pelosi come out and like cut off footie sleeves

722
00:43:08,960 --> 00:43:12,520
Speaker 1: and and like AOC one again, you know, which is

723
00:43:12,600 --> 00:43:17,000
Speaker 1: also like she's also like, you know, obviously people become

724
00:43:17,160 --> 00:43:19,600
Speaker 1: in the establishment once they get in, but it is

725
00:43:19,719 --> 00:43:23,839
Speaker 1: just like, yeah, she has some qualities that make her

726
00:43:24,080 --> 00:43:27,160
Speaker 1: non traditional and and again just get some fucking younger

727
00:43:27,239 --> 00:43:30,360
Speaker 1: people in there. There was that thing about Chuck Grassley

728
00:43:30,560 --> 00:43:34,440
Speaker 1: getting reelected and about how he's chocolate than the recipe

729
00:43:34,480 --> 00:43:39,160
Speaker 1: for chocolate chip bookies six years six years older than

730
00:43:39,200 --> 00:43:42,840
Speaker 1: the invention of chocolate chip cookies, like in Los Angeles.

731
00:43:43,200 --> 00:43:45,440
Speaker 1: Just I know this is a local story, but I

732
00:43:45,640 --> 00:43:49,480
Speaker 1: do think it is very instructive. So, you know, the

733
00:43:49,840 --> 00:43:53,640
Speaker 1: mayoral race still too close to call between billionaire Republican

734
00:43:54,120 --> 00:43:57,160
Speaker 1: you know caused playing as the Democrat Rick Crusoe and

735
00:43:57,280 --> 00:44:02,040
Speaker 1: Karen Bass, who is like very established Democrat credentials, and

736
00:44:02,600 --> 00:44:08,200
Speaker 1: both of them are are running behind Kenneth Mahia, who

737
00:44:08,520 --> 00:44:12,120
Speaker 1: is a thirty one year old who you know, worked

738
00:44:12,200 --> 00:44:16,359
Speaker 1: and he's he won for a city controller, which I'm

739
00:44:16,840 --> 00:44:20,600
Speaker 1: not a political expert, but that sounds controller. Sounds like

740
00:44:20,640 --> 00:44:25,160
Speaker 1: a pretty accountant and being like really transparent world like

741
00:44:25,320 --> 00:44:27,680
Speaker 1: money goes, and that's a huge thing to have somebody

742
00:44:27,800 --> 00:44:31,040
Speaker 1: with like a spine doing that because typically you're just

743
00:44:31,160 --> 00:44:33,520
Speaker 1: like h and he's somebody who's come out against the

744
00:44:33,560 --> 00:44:38,160
Speaker 1: Olympics before Olympics that we are against because he's spent

745
00:44:38,200 --> 00:44:40,080
Speaker 1: like this is a huge waste of money. We have

746
00:44:40,160 --> 00:44:41,920
Speaker 1: so many things that need money in Los Angeles. Why

747
00:44:41,960 --> 00:44:44,320
Speaker 1: would we ever spend money on this? But his whole

748
00:44:45,040 --> 00:44:48,560
Speaker 1: like campaign was focused on here is a graph. He

749
00:44:48,760 --> 00:44:51,320
Speaker 1: he had like these billboards all around the city that

750
00:44:51,480 --> 00:44:54,720
Speaker 1: was like here is a graph of how tax dollars

751
00:44:54,719 --> 00:44:58,640
Speaker 1: are actually spent, and you know, just showing people how

752
00:44:59,360 --> 00:45:05,320
Speaker 1: drastic the police budget outpaces anything else. And just like

753
00:45:05,360 --> 00:45:08,560
Speaker 1: I had like memes type stuff he had like this corky.

754
00:45:09,200 --> 00:45:10,840
Speaker 1: It was very like it was it's kind of like

755
00:45:10,960 --> 00:45:16,000
Speaker 1: you oriented, oh yeah, but just focusing having solutions, focusing

756
00:45:16,120 --> 00:45:19,680
Speaker 1: on solutions to the problems that people actually have in

757
00:45:19,800 --> 00:45:23,800
Speaker 1: their lives seems like it should be a very clean,

758
00:45:24,200 --> 00:45:28,160
Speaker 1: clear takeaway for the Democratic Party from this. I mean,

759
00:45:28,200 --> 00:45:31,960
Speaker 1: I think it's also like people voted against the cops,

760
00:45:32,160 --> 00:45:36,160
Speaker 1: which is like, yes, clearly a thing the Democrats are

761
00:45:36,239 --> 00:45:40,480
Speaker 1: never thinking about. But that did feel also a little

762
00:45:40,480 --> 00:45:45,200
Speaker 1: bit like like, yeah, the world has changed, man, Like

763
00:45:46,080 --> 00:45:49,880
Speaker 1: we are in an era similar to the backlash to

764
00:45:49,920 --> 00:45:54,040
Speaker 1: the Vietnam War where people are like, hey, wait a minute,

765
00:45:54,400 --> 00:45:57,080
Speaker 1: we want our money spent on things that you know

766
00:45:57,480 --> 00:46:00,120
Speaker 1: matter to us and aren't just to like increase the

767
00:46:00,200 --> 00:46:03,600
Speaker 1: imperialist war Machines coffers in a way that helps nobody

768
00:46:03,640 --> 00:46:08,720
Speaker 1: in America. All we are saying is give a cabach.

769
00:46:10,840 --> 00:46:13,480
Speaker 1: I feel like the Republicans have pretty have a pretty

770
00:46:13,520 --> 00:46:16,120
Speaker 1: clear like message to take away that. It's like if

771
00:46:16,200 --> 00:46:20,040
Speaker 1: you just double down on you know, being white supremacist,

772
00:46:20,120 --> 00:46:23,279
Speaker 1: anti woke, like use that as your messaging to be

773
00:46:23,400 --> 00:46:26,640
Speaker 1: outside the mainstream like that worked for like de Santists

774
00:46:26,719 --> 00:46:29,400
Speaker 1: and Kemp and people like that. And I feel like

775
00:46:29,520 --> 00:46:33,400
Speaker 1: the Republicans will learn that message, you know, as opposed

776
00:46:33,440 --> 00:46:36,360
Speaker 1: to focusing on Q and on and MEGA and you

777
00:46:36,440 --> 00:46:39,320
Speaker 1: know ship people don't actually care about. You know, some

778
00:46:39,520 --> 00:46:43,040
Speaker 1: people like some states went anti abortion, like it was

779
00:46:43,120 --> 00:46:45,799
Speaker 1: not yes, states were also you know, like I think

780
00:46:46,200 --> 00:46:48,040
Speaker 1: it was in Louisiana where they're like, yeah, yeah, well

781
00:46:48,120 --> 00:46:50,960
Speaker 1: we funk with slavery technically, so we'll vote for that.

782
00:46:51,520 --> 00:46:53,759
Speaker 1: There was a there was a slavery ballot on a

783
00:46:53,840 --> 00:46:55,839
Speaker 1: but you know it was like like we officially out

784
00:46:55,920 --> 00:46:59,600
Speaker 1: lost slavery. People were surprised by that. I don't know why.

785
00:47:00,200 --> 00:47:04,239
Speaker 1: If you read a little history book, it's like did

786
00:47:04,320 --> 00:47:06,840
Speaker 1: you see the Third All right? Maybe not? But like

787
00:47:07,120 --> 00:47:09,439
Speaker 1: I think just again with Republicans, Jack, like you're saying,

788
00:47:09,480 --> 00:47:11,359
Speaker 1: like the lesson for if there is a I mean

789
00:47:11,640 --> 00:47:13,760
Speaker 1: you're starting to see like the New York Post, Fox

790
00:47:14,280 --> 00:47:16,719
Speaker 1: fucking O A N they're all going like they're all

791
00:47:16,760 --> 00:47:20,440
Speaker 1: making Google eyes at the Santists now. So I don't

792
00:47:20,480 --> 00:47:22,200
Speaker 1: know if they're now because you hear a lot of

793
00:47:22,280 --> 00:47:24,680
Speaker 1: people say, well, you know, we had to run with

794
00:47:24,760 --> 00:47:27,560
Speaker 1: these MAGA candidates even though the RNC didn't want them,

795
00:47:27,680 --> 00:47:30,239
Speaker 1: or like you know, Grim Reaper McConnell didn't want them,

796
00:47:30,600 --> 00:47:32,799
Speaker 1: and we went with these and then that's that's why

797
00:47:32,960 --> 00:47:35,400
Speaker 1: we've completely fucked it up. And I think they're you know,

798
00:47:35,480 --> 00:47:39,160
Speaker 1: they're starting to again pretend like maybe they can divorce

799
00:47:39,280 --> 00:47:43,279
Speaker 1: themselves from Trump, but it's really it's gonna be really

800
00:47:43,320 --> 00:47:44,879
Speaker 1: I think that's the other thing that's gonna be really

801
00:47:44,920 --> 00:47:47,439
Speaker 1: interesting is because the mid terms performance was so poor,

802
00:47:48,239 --> 00:47:51,520
Speaker 1: like all like so much of the good news that

803
00:47:51,640 --> 00:47:54,200
Speaker 1: you see on conservative news like the day after the

804
00:47:54,280 --> 00:47:58,000
Speaker 1: election is all focusing on like how well the Santists did. Yeah. Yeah,

805
00:47:58,200 --> 00:48:02,480
Speaker 1: But I also think the doctor the doctor Oz Fetterman

806
00:48:02,640 --> 00:48:07,320
Speaker 1: race is kind of like an interesting blowback to Trump

807
00:48:07,440 --> 00:48:10,879
Speaker 1: because it's like, wait, somebody can't just win because they're

808
00:48:10,920 --> 00:48:14,920
Speaker 1: on television, you know. Yeah, I think Trump kind of

809
00:48:15,000 --> 00:48:17,239
Speaker 1: like created this idea of like people will just vote

810
00:48:17,280 --> 00:48:22,040
Speaker 1: for anyone who's famous because they're so stupid, And maybe

811
00:48:22,080 --> 00:48:26,960
Speaker 1: that's not true. The Republicans are still probably going to

812
00:48:27,160 --> 00:48:30,360
Speaker 1: control the House because of jerrymandering, and like there's a

813
00:48:30,480 --> 00:48:33,759
Speaker 1: lot of, you know, very clear failures for the Democratic

814
00:48:33,840 --> 00:48:37,360
Speaker 1: Party to grapple with and and some very clear lessons

815
00:48:37,400 --> 00:48:39,560
Speaker 1: for them to learn, and we've seen it. And they're

816
00:48:39,560 --> 00:48:43,360
Speaker 1: gonna play the better hill music and fall down a

817
00:48:43,440 --> 00:48:47,440
Speaker 1: hundred times, just crazy willing to ignore the ship out

818
00:48:47,480 --> 00:48:50,200
Speaker 1: of the anything. They're gonna roller skate on a bunch

819
00:48:50,200 --> 00:48:53,560
Speaker 1: of banana peels before they learn one thing from this.

820
00:48:53,719 --> 00:48:56,920
Speaker 1: But alright, well, let's take a quick break. We'll come

821
00:48:56,960 --> 00:49:00,160
Speaker 1: back and we'll talk about how we all want are

822
00:49:00,200 --> 00:49:15,839
Speaker 1: headsets that can kill us, and we're back and yeah,

823
00:49:16,000 --> 00:49:18,959
Speaker 1: you know, so there there was this kind of fake

824
00:49:19,040 --> 00:49:23,920
Speaker 1: headline that was being picked up by all all the

825
00:49:24,000 --> 00:49:28,839
Speaker 1: trusted journalistic institutions, the New York Post, Men's Health, kt

826
00:49:29,080 --> 00:49:32,600
Speaker 1: l A, the local news, but the headline was Oculus

827
00:49:32,680 --> 00:49:35,600
Speaker 1: founder creates a VR headset that kills you if you

828
00:49:35,760 --> 00:49:38,920
Speaker 1: die in the game. The man behind Oculus Rift has

829
00:49:39,000 --> 00:49:42,920
Speaker 1: designed a VR headset that can kill you, and if

830
00:49:43,000 --> 00:49:45,600
Speaker 1: you die in this VR game, it will kill you

831
00:49:45,760 --> 00:49:50,200
Speaker 1: in real life. Yeah, the paving the way for a

832
00:49:50,280 --> 00:49:52,840
Speaker 1: future in which people mourn the loss of a loved

833
00:49:52,880 --> 00:49:56,359
Speaker 1: one who tragically died after skidting on a banana peal

834
00:49:56,440 --> 00:50:01,719
Speaker 1: dropped by Luigi Too. You know, oh no, you know this.

835
00:50:03,080 --> 00:50:06,520
Speaker 1: It's interesting that, I mean, it's just mainstream medium mal practice,

836
00:50:06,680 --> 00:50:10,640
Speaker 1: because that's not actually what it. I mean, it leads

837
00:50:10,680 --> 00:50:16,640
Speaker 1: you towards an like all the VR stuff, it's always fake. Yeah,

838
00:50:16,920 --> 00:50:18,799
Speaker 1: they're always like, you're going to fuck a woman through

839
00:50:18,840 --> 00:50:23,160
Speaker 1: the computer, Like I don't. I don't think they have

840
00:50:23,360 --> 00:50:27,840
Speaker 1: that yet. Yeah, it's yeah, people, I think that the

841
00:50:27,880 --> 00:50:30,880
Speaker 1: headline was meant to evoke the Matrix, where if you

842
00:50:31,040 --> 00:50:36,960
Speaker 1: die in the matrix, the virtual reality is so perfect,

843
00:50:37,239 --> 00:50:40,279
Speaker 1: such a perfect simulation, that your brain doesn't know the

844
00:50:40,320 --> 00:50:44,760
Speaker 1: difference and you basically just die psychosomatically. They literally always

845
00:50:44,880 --> 00:50:48,360
Speaker 1: say this, and then you try Oculus Rift and you're like,

846
00:50:49,000 --> 00:50:53,080
Speaker 1: this is game Boy three D, Like, yeah, you haven't

847
00:50:53,320 --> 00:50:56,920
Speaker 1: improved this technology at all. Wearing a big dumb thing

848
00:50:57,000 --> 00:50:58,920
Speaker 1: on your head and you're never not aware of that

849
00:51:00,080 --> 00:51:03,600
Speaker 1: was actually called virtual boy. Virtual boy. It gives you

850
00:51:03,719 --> 00:51:06,720
Speaker 1: a headache. I remember, Yeah, that thing was the worst

851
00:51:06,960 --> 00:51:12,719
Speaker 1: that had That was probably the worst, like actual it's

852
00:51:12,760 --> 00:51:15,080
Speaker 1: just failed to deliver on every My friend Dan had

853
00:51:15,120 --> 00:51:17,160
Speaker 1: one and I and I played it. It was like

854
00:51:18,640 --> 00:51:21,759
Speaker 1: it truly gives you such a headache, and it is like, yeah,

855
00:51:23,120 --> 00:51:26,160
Speaker 1: it's just emblematic of the promise versus the reality of

856
00:51:26,200 --> 00:51:30,200
Speaker 1: virtual reality, which is that guess what, real real reality

857
00:51:31,600 --> 00:51:34,279
Speaker 1: kick sticks. Why would you ever need virtual reality? Yeah,

858
00:51:34,360 --> 00:51:37,000
Speaker 1: real reality will actually kill it, you motherfucker. Don't. That's right,

859
00:51:39,560 --> 00:51:42,880
Speaker 1: go outside. So there's been other VR designers who have

860
00:51:42,960 --> 00:51:47,040
Speaker 1: actually like used this storyline type the power of their product,

861
00:51:47,160 --> 00:51:49,560
Speaker 1: Like there was this guy, I'm just gonna read a quote.

862
00:51:49,719 --> 00:51:52,240
Speaker 1: We're very close to having the first death in VR.

863
00:51:52,520 --> 00:51:55,880
Speaker 1: Pause for the crowd to go wild when the commercial

864
00:51:56,040 --> 00:51:59,040
Speaker 1: version comes out. Something is going to scare somebody to death,

865
00:51:59,200 --> 00:52:01,560
Speaker 1: somebody with a heart condition or something like that. It

866
00:52:01,719 --> 00:52:04,880
Speaker 1: is going to happen, absolutely somebody with a heart condition

867
00:52:05,120 --> 00:52:08,480
Speaker 1: or something like that. You shouldn't be using the product probably,

868
00:52:09,360 --> 00:52:14,319
Speaker 1: So that's it's like horror movie advertising, you know, it's

869
00:52:14,400 --> 00:52:18,080
Speaker 1: like you might die from this hord house. So the

870
00:52:18,239 --> 00:52:22,240
Speaker 1: person the thing that drove the headline though, this recent

871
00:52:22,680 --> 00:52:28,440
Speaker 1: Oculus headline is that he basically like the guy who

872
00:52:28,560 --> 00:52:32,960
Speaker 1: created Iculus Rift, what's the name, like Lucky something Palmer.

873
00:52:36,560 --> 00:52:39,120
Speaker 1: So I think he recognized that this was a talking

874
00:52:39,200 --> 00:52:41,880
Speaker 1: point that people were like hungry for. So what he

875
00:52:41,960 --> 00:52:46,080
Speaker 1: did was create a single headset that had three explosive

876
00:52:46,239 --> 00:52:50,239
Speaker 1: charges attached to it and would blow up your head

877
00:52:50,480 --> 00:52:55,880
Speaker 1: if you died, as like a proof of concept, Like, oh, okay,

878
00:52:56,239 --> 00:53:01,279
Speaker 1: he invented the he meanted a saw trap to yeah, yeah,

879
00:53:01,480 --> 00:53:05,040
Speaker 1: he's like he said that, he like, we don't. The

880
00:53:05,120 --> 00:53:08,720
Speaker 1: screen flashes read at a specific frequency, so that suggests

881
00:53:08,800 --> 00:53:11,279
Speaker 1: that like that somehow kills you and he's like, and

882
00:53:11,400 --> 00:53:14,640
Speaker 1: then that causes the thing to explode your fucking head.

883
00:53:16,200 --> 00:53:18,400
Speaker 1: I'm pretty sure the people who strapped a bomb on

884
00:53:18,480 --> 00:53:21,240
Speaker 1: the neck of that pizza delivery driver had also figured

885
00:53:21,280 --> 00:53:24,359
Speaker 1: out this technology. That's exactly what it made me think of. Two,

886
00:53:24,960 --> 00:53:29,719
Speaker 1: that's so fucked up. There's a black mirror where that happens, obviously, right,

887
00:53:30,719 --> 00:53:33,920
Speaker 1: But like I don't understand, Like, is that people's dream

888
00:53:34,120 --> 00:53:36,799
Speaker 1: to die playing a video game? Like I know we're

889
00:53:36,800 --> 00:53:39,080
Speaker 1: all doing the death drive a little bit with this stuff,

890
00:53:39,160 --> 00:53:43,480
Speaker 1: but like, no, I really want to die that's I

891
00:53:43,520 --> 00:53:45,520
Speaker 1: don't think you want to. I mean, look like I said,

892
00:53:46,160 --> 00:53:48,160
Speaker 1: you you're you're playing a game of chance with your

893
00:53:48,200 --> 00:53:51,000
Speaker 1: life every day by merely existing. So like, have you

894
00:53:51,080 --> 00:53:54,279
Speaker 1: ever seen that thing about the roller coaster that kills you?

895
00:53:54,440 --> 00:53:59,879
Speaker 1: That someone designed the roller coaster the life at Magic

896
00:54:00,000 --> 00:54:02,359
Speaker 1: out and kill like two people. I mean sometimes roller

897
00:54:02,400 --> 00:54:06,719
Speaker 1: coasters kill people, but um, you know, like people who

898
00:54:06,760 --> 00:54:08,960
Speaker 1: talk about roller coasters say, the whole thing is that,

899
00:54:09,160 --> 00:54:12,239
Speaker 1: like the excitement is that you might die and you don't. Right,

900
00:54:12,560 --> 00:54:17,839
Speaker 1: It's like you almost you know, you're you're like you're

901
00:54:17,920 --> 00:54:20,480
Speaker 1: flirting with death a little bit. You're just like feelings

902
00:54:20,960 --> 00:54:23,200
Speaker 1: like why would you invent a roller coaster? It's such

903
00:54:23,200 --> 00:54:26,880
Speaker 1: an insane thing to invent, but somebody designed one. You

904
00:54:26,880 --> 00:54:29,799
Speaker 1: should look it up. Scary. It's a roller coaster where

905
00:54:29,840 --> 00:54:32,280
Speaker 1: it's like loops and the loops get smaller and smaller

906
00:54:32,400 --> 00:54:34,600
Speaker 1: and eventually it would like make you have a brain

907
00:54:34,680 --> 00:54:39,719
Speaker 1: aneurysm or something and die. Nice. Yeah, it would like

908
00:54:39,800 --> 00:54:44,800
Speaker 1: deprive oxygen to your brain or something. Oh wow, is

909
00:54:44,880 --> 00:54:48,040
Speaker 1: that scary. I think the thing that people are hoping

910
00:54:48,160 --> 00:54:52,560
Speaker 1: for is something that experientially is like so scary that

911
00:54:52,680 --> 00:54:56,120
Speaker 1: it kills you, and then there are all these engineers

912
00:54:56,360 --> 00:54:58,960
Speaker 1: and like, by the way, the guy who like created

913
00:54:59,000 --> 00:55:03,719
Speaker 1: Oculus riffed Lucky whatever Lucky Palmer, which I can't believe

914
00:55:03,760 --> 00:55:07,880
Speaker 1: that's a humans name. That is like trying to But

915
00:55:08,600 --> 00:55:12,640
Speaker 1: he went on to like work for a defense cut,

916
00:55:12,760 --> 00:55:16,200
Speaker 1: Like he gets tillions and millions of dollars from the

917
00:55:16,280 --> 00:55:20,640
Speaker 1: government to create like underwater drones and ship Okay, so

918
00:55:20,719 --> 00:55:23,960
Speaker 1: this man literally builds fucking death machines, that's what you're

919
00:55:23,960 --> 00:55:26,960
Speaker 1: saying he does. That's what I mean is like some

920
00:55:27,160 --> 00:55:28,960
Speaker 1: of this stuff, like when you tell me the thing

921
00:55:29,040 --> 00:55:32,640
Speaker 1: about the device that blows up your head. Yeah, you're like, well,

922
00:55:32,719 --> 00:55:35,239
Speaker 1: where does this lead? It leads to, like you know,

923
00:55:37,000 --> 00:55:39,400
Speaker 1: it's like it's a yeah, it's like a board engineer

924
00:55:39,480 --> 00:55:41,799
Speaker 1: at Raytheon's like, dude, what if I made a thing

925
00:55:41,880 --> 00:55:45,160
Speaker 1: that killed the operator rather than the other way. Right,

926
00:55:45,600 --> 00:55:50,480
Speaker 1: There's it's a pretty metal idea. What if I just

927
00:55:50,840 --> 00:55:53,160
Speaker 1: had hired someone to shoot me in the head, if

928
00:55:53,239 --> 00:55:56,200
Speaker 1: I shot if I funked up at Tetris, I mean

929
00:55:56,360 --> 00:56:00,440
Speaker 1: you see that. Like it's like the people who meyer

930
00:56:00,600 --> 00:56:05,040
Speaker 1: like naxi on Ingenuity, you know, well they made the

931
00:56:05,120 --> 00:56:10,359
Speaker 1: best death machines it's like that fucking sucks. But they

932
00:56:10,400 --> 00:56:14,120
Speaker 1: were so they didn't make them. Fucking American companies made them.

933
00:56:14,200 --> 00:56:16,080
Speaker 1: That's what's so fucked up. It was like that all

934
00:56:16,200 --> 00:56:18,319
Speaker 1: you know, IBM and people were the people who made

935
00:56:18,320 --> 00:56:22,240
Speaker 1: all the things and the headlines of this post generated

936
00:56:22,320 --> 00:56:25,120
Speaker 1: made it made it seemed like the VR Murder game

937
00:56:25,200 --> 00:56:27,080
Speaker 1: was going to be shipped out in time for Christmas.

938
00:56:27,160 --> 00:56:28,440
Speaker 1: But it's really you know what I mean, it's like

939
00:56:28,520 --> 00:56:31,239
Speaker 1: if there was money in the if there was money

940
00:56:31,320 --> 00:56:34,160
Speaker 1: and murdering people, like, of course every tech guy on

941
00:56:34,320 --> 00:56:38,400
Speaker 1: Earth will be into it, you know, right, they love that.

942
00:56:38,640 --> 00:56:41,279
Speaker 1: That's the blue Sky challenge they love the most. Just like,

943
00:56:41,800 --> 00:56:44,040
Speaker 1: was the most efficient way to like murder somebody with

944
00:56:44,160 --> 00:56:48,080
Speaker 1: a VR machine? Right? Can we do it with the

945
00:56:48,200 --> 00:56:51,600
Speaker 1: loading screen? Will that be scary? I feel like they're

946
00:56:51,640 --> 00:56:54,719
Speaker 1: still buying into the mouth Susian thing of like there's

947
00:56:54,719 --> 00:56:58,799
Speaker 1: too many people. Let's oh, it's lower the population. Oh yeah,

948
00:56:58,920 --> 00:57:01,759
Speaker 1: I mean that's like the eco fascist stuff is the

949
00:57:01,840 --> 00:57:07,000
Speaker 1: real right wing stuff that's terrifying because they for sure

950
00:57:07,080 --> 00:57:10,239
Speaker 1: think that. Yeah yeah, and now they're saying stuff I

951
00:57:10,360 --> 00:57:12,239
Speaker 1: love that. There's a real big take. Now it's like

952
00:57:12,320 --> 00:57:15,360
Speaker 1: gen Z's ruining this country at the ballot box. So

953
00:57:15,480 --> 00:57:17,600
Speaker 1: I can't wait to see what kind of fucking weird

954
00:57:18,320 --> 00:57:23,000
Speaker 1: nonsense we see him at young people. Well, Molly Lambert,

955
00:57:23,880 --> 00:57:26,520
Speaker 1: always a pleasure having you on the dailies like Geist.

956
00:57:27,000 --> 00:57:30,680
Speaker 1: Where can people find you? Follow you all that good stuff? Wow?

957
00:57:31,280 --> 00:57:34,080
Speaker 1: Thanks for having me. Well. I am off Twitter for

958
00:57:34,120 --> 00:57:36,920
Speaker 1: the time being and maybe forever because I as as

959
00:57:37,000 --> 00:57:39,560
Speaker 1: mentioned earlier, I blew up my own Twitter with a

960
00:57:40,440 --> 00:57:45,440
Speaker 1: VR helmet that excluded I did actually engineer machine to

961
00:57:45,640 --> 00:57:48,280
Speaker 1: blow up my Twitter Twitter death, which was a tweet

962
00:57:48,280 --> 00:57:50,680
Speaker 1: about Drake and Elon musk Bean Dorks. So you can

963
00:57:50,720 --> 00:57:54,600
Speaker 1: find me right now on Instagram at Molly Underscore Lambert,

964
00:57:55,160 --> 00:57:59,640
Speaker 1: and you can find ten plus hours of me at

965
00:58:00,480 --> 00:58:03,360
Speaker 1: Heidi World. The Heidi Fly Story in the Secret History

966
00:58:03,360 --> 00:58:08,440
Speaker 1: of l A now playing on all podcast platforms for

967
00:58:08,560 --> 00:58:14,440
Speaker 1: My Heart Radio featuring Jackie and Miles. Yeah, man, you're

968
00:58:14,640 --> 00:58:20,840
Speaker 1: Jesse Flice. Miles is James khn famous now deceased actor

969
00:58:20,960 --> 00:58:25,280
Speaker 1: James Canine. And that did happen after Miles played him

970
00:58:25,440 --> 00:58:28,160
Speaker 1: like the performance in and he was like, I'm my

971
00:58:28,960 --> 00:58:33,320
Speaker 1: my persona is in good hands. I can shuffle off absolutely,

972
00:58:33,440 --> 00:58:38,080
Speaker 1: I'll be playing Henry Kissinger. Oh you don't even know.

973
00:58:39,520 --> 00:58:45,880
Speaker 1: You might be right? Get ready for phase two. Is

974
00:58:45,920 --> 00:58:48,000
Speaker 1: there a tweet or some of the work of social

975
00:58:48,040 --> 00:58:50,200
Speaker 1: media you've been enjoying, Molly, I mean, I think I

976
00:58:50,360 --> 00:58:53,240
Speaker 1: mentioned it earlier, but the finding out that a senator

977
00:58:53,400 --> 00:58:59,200
Speaker 1: was older than chocolate chip cookies really really made me laugh. Also,

978
00:58:59,320 --> 00:59:01,800
Speaker 1: I'm I reached the end of Twitter because I met

979
00:59:02,000 --> 00:59:06,280
Speaker 1: Drill in real life? Who at d R I L

980
00:59:06,560 --> 00:59:09,040
Speaker 1: d R I L I met Drill, the man, the myth,

981
00:59:09,080 --> 00:59:12,520
Speaker 1: the legend. Wow? What was that like? And and just

982
00:59:12,680 --> 00:59:15,360
Speaker 1: like the Wizard of Oz, he was literally just some guy.

983
00:59:16,080 --> 00:59:19,640
Speaker 1: Yeah yeah, I was like, Wow, never meet your Twitter

984
00:59:19,720 --> 00:59:22,840
Speaker 1: heroes in a cape behind a giant screen though, right now,

985
00:59:22,880 --> 00:59:25,280
Speaker 1: I mean, he's really nice. He's really nice, He's very

986
00:59:25,640 --> 00:59:28,919
Speaker 1: nice in real life. It's just um, pretty amazing, because

987
00:59:28,920 --> 00:59:30,919
Speaker 1: I was like, Wow, Elon Musk has so much money,

988
00:59:31,920 --> 00:59:34,160
Speaker 1: so much power, and all he wants is to beat

989
00:59:34,200 --> 00:59:39,640
Speaker 1: this guy who's just now funny of miles. Where can

990
00:59:39,720 --> 00:59:41,760
Speaker 1: people find you? What are the tweet you've been enjoying?

991
00:59:42,040 --> 00:59:45,720
Speaker 1: Find me on Twitter and Instagram at miles of a gray.

992
00:59:46,800 --> 00:59:50,040
Speaker 1: Let's see blah blah blah blah blah, some tweets that

993
00:59:50,440 --> 00:59:52,760
Speaker 1: I like. Oh, first of all, you can find obviously

994
00:59:52,880 --> 00:59:55,080
Speaker 1: Jack and I are our basketball podcast new episode of

995
00:59:55,160 --> 00:59:57,560
Speaker 1: Miles and Jack Got Mad Boost These just dropped today,

996
00:59:57,840 --> 01:00:01,760
Speaker 1: so check that out. Also, check me and Sophia Alexander

997
01:00:01,800 --> 01:00:04,480
Speaker 1: out on four twenty day Fiance. But I think in

998
01:00:04,560 --> 01:00:07,480
Speaker 1: the coming weeks I will have guest host Lydia Popovich

999
01:00:07,640 --> 01:00:10,760
Speaker 1: on to talk about ninety day Fiance, So check all

1000
01:00:11,240 --> 01:00:16,640
Speaker 1: that out. Some tweets that I like, I just uh uh,

1001
01:00:18,640 --> 01:00:21,600
Speaker 1: I don't even know, like, uh it just don't even

1002
01:00:21,840 --> 01:00:24,880
Speaker 1: just I honestly really wasn't looking much at Twitter except

1003
01:00:24,920 --> 01:00:27,840
Speaker 1: for some of these. Uh oh, this is interesting. At

1004
01:00:28,120 --> 01:00:31,520
Speaker 1: b b C TA s I I t A H

1005
01:00:31,640 --> 01:00:33,720
Speaker 1: said why are you, as an adult using a third

1006
01:00:33,800 --> 01:00:37,120
Speaker 1: party app to track who un follows you? And I

1007
01:00:37,240 --> 01:00:40,600
Speaker 1: am absolutely like, yeah, let see people like I noticed

1008
01:00:40,640 --> 01:00:42,000
Speaker 1: so and so on follow me. I'm like, are you

1009
01:00:42,080 --> 01:00:45,880
Speaker 1: are we a sixth grade? Like? Free yourself from keeping

1010
01:00:45,960 --> 01:00:48,720
Speaker 1: score like that? That is fucking self destruction in an

1011
01:00:48,760 --> 01:00:53,080
Speaker 1: app m Some tweets I enjoyed. Senator Lemon go Gert tweeted,

1012
01:00:53,240 --> 01:00:57,200
Speaker 1: oh is there a vote ball happening during the vote,

1013
01:00:57,320 --> 01:01:01,840
Speaker 1: because Yeah, let's just that resonated with me as a

1014
01:01:01,920 --> 01:01:06,760
Speaker 1: sports sometimes sports fan, Ashton Btuso tweeted, congrats on your

1015
01:01:06,800 --> 01:01:09,840
Speaker 1: I voted sticker. I bet the sea turtles love them.

1016
01:01:10,160 --> 01:01:12,920
Speaker 1: I had my polling place brand me with hot iron

1017
01:01:13,040 --> 01:01:18,440
Speaker 1: because I actually care about the environment. And yeah, you

1018
01:01:18,480 --> 01:01:20,520
Speaker 1: got one more I forgot. I thought I was. I

1019
01:01:20,720 --> 01:01:22,720
Speaker 1: buried all the fun tweets that I had. Another one

1020
01:01:22,800 --> 01:01:25,200
Speaker 1: is from at two thick Scoops that said TikTok is

1021
01:01:25,240 --> 01:01:27,240
Speaker 1: full of the most helpless people in the entire world.

1022
01:01:27,440 --> 01:01:31,160
Speaker 1: You could post a recipe for Pepperoni pizza and the

1023
01:01:31,280 --> 01:01:33,800
Speaker 1: comments will be full of people shaking in their boots

1024
01:01:33,800 --> 01:01:38,560
Speaker 1: saying can I put sausage on it instead? No, you can't,

1025
01:01:38,920 --> 01:01:44,560
Speaker 1: you will die. You can find me on Twitter at

1026
01:01:44,640 --> 01:01:47,640
Speaker 1: Jack Underscore O'Brien. You can find us on Twitter at

1027
01:01:47,720 --> 01:01:50,640
Speaker 1: daily Zeygeist. Were at the Daily Zeitgeist on Instagram. We

1028
01:01:50,680 --> 01:01:53,280
Speaker 1: have a Facebook fan page and a website Daily zeitgeist

1029
01:01:53,320 --> 01:01:56,520
Speaker 1: dot com, where we post our episodes and our footnotes.

1030
01:01:56,920 --> 01:01:58,720
Speaker 1: Were a link off the information that we talked about

1031
01:01:58,720 --> 01:02:01,040
Speaker 1: in today's episode as well. Is a song that we

1032
01:02:01,080 --> 01:02:03,120
Speaker 1: think you might enjoy. Miles, what song do we think

1033
01:02:03,160 --> 01:02:06,840
Speaker 1: people mightn't do? Uh? This is a track from Sans

1034
01:02:08,000 --> 01:02:11,760
Speaker 1: s O n z e I r a U d J,

1035
01:02:12,320 --> 01:02:14,959
Speaker 1: who like mashes up a ton of really dope Brazilian music.

1036
01:02:15,040 --> 01:02:18,120
Speaker 1: This track is called oh by show Don Okay, so

1037
01:02:18,240 --> 01:02:20,680
Speaker 1: it's oh then the next word is b A I

1038
01:02:21,160 --> 01:02:24,800
Speaker 1: x O than d O space K A S s

1039
01:02:24,920 --> 01:02:29,600
Speaker 1: I N. And it's like this. Really it's like dub

1040
01:02:30,080 --> 01:02:33,760
Speaker 1: but like sample based with a lot of Brazilian music.

1041
01:02:33,920 --> 01:02:37,120
Speaker 1: It's just like a really interesting like tapestry of Brazilian

1042
01:02:37,200 --> 01:02:40,400
Speaker 1: sounds and styles all thrown together to give you this

1043
01:02:40,520 --> 01:02:42,920
Speaker 1: new sound. Also check this out. I won't say the

1044
01:02:43,000 --> 01:02:44,960
Speaker 1: name again because I probably just pronounced it, or you

1045
01:02:45,000 --> 01:02:46,480
Speaker 1: can rewind it. I would say it one more time,

1046
01:02:46,560 --> 01:02:50,520
Speaker 1: Oh by show do casine? Alright? Well? The Daily Zis

1047
01:02:50,520 --> 01:02:52,600
Speaker 1: is a productor by heart Radio. For more podcast for

1048
01:02:52,680 --> 01:02:55,200
Speaker 1: my heart Radio, visit the heart Radio app, Apple podcast,

1049
01:02:55,520 --> 01:02:57,680
Speaker 1: or wherever you listen your favorite shows that it is

1050
01:02:57,680 --> 01:02:59,840
Speaker 1: going to do it for us this morning, back this

1051
01:03:00,040 --> 01:03:02,800
Speaker 1: afternoon to tell you what is trending and we'll talk

1052
01:03:02,840 --> 01:03:08,440
Speaker 1: to you all don Bye bye MH