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Speaker 1: Hello the Internet, and welcome to see the twenty five

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Speaker 1: episode two of Dary Daily YEA for April two, eight ten.

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Speaker 1: My name is Jack O'Brien ak Potatoes O'Brien, and I

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

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Speaker 1: Mr Miles Gray. That's right, it's me Miles Gray, Jane

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Speaker 1: Miles Gracian a dota con how readings to everybody on

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Speaker 1: this wonderful Tuesday, and we're thrilled to be joined in

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Speaker 1: our third seat by the hilarious comedian and performer Ever Mainard. Hi, everybody,

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Speaker 1: what's up? Thank you for having me, Thank you for

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Speaker 1: being here. Um, what is something from your search history

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Speaker 1: that is revealing about who you are as a human being? Okay? Well,

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Speaker 1: I was like, what can I share? And honestly, it's

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Speaker 1: just all Google searches of me, you know what I mean? Like,

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Speaker 1: what's the news? Just go Ever Mainard, Hot question, Ever

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Speaker 1: Mainard defeat h w T. I actually have been Google

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Speaker 1: searching a lot of different animals for a riding thing,

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Speaker 1: and I got really obsessed with rattlesnakes. So all of

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Speaker 1: my like search histories right now are rattlesnakes and army

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Speaker 1: Navy surplus stores online. So I get bored. No, I

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Speaker 1: thought I need a new backpack, and then um, and

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Speaker 1: then I wanted to learn more about rattlesnakes because I'm

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Speaker 1: from a small town in Texas and like now is

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Speaker 1: when they're like starting to like, what's up? Come out

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Speaker 1: nice little ready to kill? Um? Wait, where are you

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Speaker 1: from in Texas? I'm from a town called Little River,

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Speaker 1: Little River Academy. We're from the Academy side. But it's

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Speaker 1: two tiny towns but together so we can have like

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Speaker 1: a school district. What's the closest big um. I guess

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Speaker 1: the closest big city if you know it is Temple.

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Speaker 1: It's right off of AU thirty five. But if don't

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Speaker 1: know that, it would be um Ri, in between Waco

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Speaker 1: and Austin. Okay, yeah, I've heard of Waco. Austin though

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Speaker 1: not so much. Just a cool name for a young man.

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Speaker 1: That's my cousin's name. Shout out to Austin. Um, is

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Speaker 1: there anything cool about rattlesnakes? We should know that if

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Speaker 1: they weren't like the devil spawn enough, they the mother snakes.

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Speaker 1: Most snakes just like lay eggs and then they hatch

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Speaker 1: and when female snakes get pregnant, they keep their eggs

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Speaker 1: in them, and then they give live birth to baby rattlesnakes.

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Speaker 1: And I'm terrified of rattlesnakes, so that idea is just

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Speaker 1: like wait, so they give live birth like instead of

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Speaker 1: just hatching, and so they just hatch internally. And then

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Speaker 1: they're like, wow, how many do you know? How many

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Speaker 1: snakes come on? I just I stopped reading that point

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Speaker 1: because in my mind is like a thousand. Well, then

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Speaker 1: I found on YouTube I want to know. So now

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Speaker 1: they do like have dens like rattlesnake dance. And this

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Speaker 1: dude put a GoPro on a hockey stick and walked

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Speaker 1: out to this field and all of a sudden, you

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Speaker 1: just hear this insane like and you're like, what is that?

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Speaker 1: And then he gets to it and like this, he's

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Speaker 1: holding this hockey stick over this like pit viper nest

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Speaker 1: and they're just like lunging at the camera. Are they

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Speaker 1: just in like a hole? No, it's just yeah, it's

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Speaker 1: kind of like a pit. It's kind of like there's

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Speaker 1: like a drop off like looks like somebody dug a

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Speaker 1: hole and like, I'm done. Digg and Jack is not

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Speaker 1: familiar with the concept of a pitch. Yeah, okay, so

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Speaker 1: it's like just you know, like a big hole, bile,

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Speaker 1: a ground hole. They spawn like that and they hang out. God,

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Speaker 1: I love that that guy was like, hey, I finally

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Speaker 1: got used for this old hockey stick. Ye, this is

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Speaker 1: the same danger as at all. Um, snakes are at

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Speaker 1: least polite. They have like a yeah, they're just like

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Speaker 1: you're about to die. Well okay, hold okay, now, um,

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Speaker 1: they evolving where they either don't have rattles or they

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Speaker 1: won't rattle because it's a survival instant because when they rattle,

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Speaker 1: then they get killed. Right, But that's always has to

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Speaker 1: have been the case when like it's not like we

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Speaker 1: just developed ears, like they've well now they're getting smarter sticks,

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Speaker 1: right casey from the ex Get these snakes out of here,

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Speaker 1: get them out. What's something you think is underrated? Um?

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Speaker 1: I think underrated hot dogs. Got dogs are a little underrated.

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Speaker 1: Um mainly like I don't know if you call them

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Speaker 1: dirty dogs out here, but like the street vendor hot

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Speaker 1: danger dogs are totally brought up danger dogs. Wow, it's

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Speaker 1: a blessing. I think that danger dogs are underrated number one,

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Speaker 1: because when you're out and you're drunk and you're hungry,

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Speaker 1: and it's there. It's always good. I've never had a

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Speaker 1: bad danger dog. I've actually dropped a danger dog in

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Speaker 1: downtown l A picked it up and ate it. Are

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Speaker 1: mutant powers? Was it wrapped in paper? And was it

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Speaker 1: wrapped in a bun? No? I'm dropped my naked hot

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Speaker 1: It's not my proudest moment. Did you wipe it off? Run?

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Speaker 1: Blew it off to get it? And then I guess

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Speaker 1: it's just like gravel. It was on the street, gravel

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Speaker 1: and human urine. That's why my immunity is so strong.

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Speaker 1: Strong constitution. Yeah, exactly. All right, let's hear the overrated Okay,

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Speaker 1: Number one overrated thing is Trader Joe's. I don't like.

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Speaker 1: I'm not a Trader joe fan. They're parking lot, it's aggressive. Okay,

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Speaker 1: I know what you're talking about. The one yes, but

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Speaker 1: every single everybody. This is funny because every person on

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Speaker 1: the show who has a grave about Trader Joe's, it's

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Speaker 1: always stemmed from the Trader Joe's. It's over like, but

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Speaker 1: not to say that. I also don't with Trader Joe's

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Speaker 1: because of the parking lot. And there's too many people,

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Speaker 1: but go on, I'm sorry. And the parking lot in

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Speaker 1: Burbank And then when I lived in Chicago, all the

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Speaker 1: Trader Joe's had tiny parking lots there, and then it

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Speaker 1: feels so cramped and it's like organized in an unorganized right,

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Speaker 1: And then everyone's like and I'm just like, get out

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Speaker 1: of my what's the one in Manhattan that's like in

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Speaker 1: a basement. And basically the shopping it you just get

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Speaker 1: in line before shopping and you just pick up the

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Speaker 1: ship you need on the way because it's so packed

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Speaker 1: in there that the only way to shop is to

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Speaker 1: do it while you're in line. Too much, right, I think,

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Speaker 1: Oh I can't handle it. I don't think their fruit

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Speaker 1: is that good and their flowers don't smell good. The

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Speaker 1: disorganization thing is interesting. Hold hold on. And they have

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Speaker 1: good frozen treats, Like they have good like frozen things

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Speaker 1: to kind of stow away frozen apps. Yeah, but like

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Speaker 1: in terms of their fresh stuff, it's not very fresh.

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Speaker 1: And I agree, the organization is just all over the place.

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Speaker 1: I did, like, I've read a bunch of stuff on

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Speaker 1: how grocery stores are organized, and it's very meticulous and

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Speaker 1: you'll notice that most of the time you enter through

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Speaker 1: the produce and then like towards all the way to

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Speaker 1: the back is milk, and like they're designed so that

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Speaker 1: you circulate in a very specific direction because they know

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Speaker 1: that like nine humans out of ten preferred to circulate

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Speaker 1: like it's basically counterclockwise. We prefer counter clockwise. But then

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Speaker 1: Whole Food started doing it the opposite way to like

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Speaker 1: prove that they were like new and hip and like.

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Speaker 1: But then Trader Joe's is just a fucking it's just

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Speaker 1: chaos in there. They just like put it anywhere, like

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Speaker 1: you have to learn it all by yourselves. Sometimes you

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Speaker 1: got cheese over here, but then you got another cheese

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Speaker 1: over there, right, yeah, and they're like, where's your aloe juice?

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Speaker 1: They're like next to the flowers, and like it's not

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Speaker 1: with the other juices, right, good point. Yeah. I feel like,

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Speaker 1: isn't Trader Joe's owned by the same people that own Alderman.

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Speaker 1: I'm wondering if they did some like fucked up now,

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Speaker 1: this would be a deep conspiracy that I am happy

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Speaker 1: to start. Actually, but this really I want to read it.

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Speaker 1: I'm putting my thinking cap on, I'm tying it all

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Speaker 1: so in World War Two, like Hitler's Germany Blade right

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Speaker 1: now it loud. Hitler took the residence from the A string,

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Speaker 1: which like for a long long time used to be

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Speaker 1: I think four thirty. I'll have to look it up.

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Speaker 1: But um, he changed it because it sucks when we

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Speaker 1: hear it. It sucks up our mind a little. It's like, um,

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Speaker 1: but the original like a string is like the same

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Speaker 1: hurts as the universe, and like all of the classic

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Speaker 1: composers use this type of hurts. And then Hitler got

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Speaker 1: it and he changed it, and he realized that it

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Speaker 1: made the mind kind of disobey and like fight against it.

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Speaker 1: And I'm wondering if the same people start a trader

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Speaker 1: Joe's did some ship like this? Wow? Wait, so you're

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Speaker 1: saying Hitler discovered that if you play like an a

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Speaker 1: like the note, if you change the hurts, if you

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Speaker 1: change the frequency on it. And it's a subtle thing.

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Speaker 1: But then it starts like this, what is the word

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Speaker 1: I'm looking for human dissonance? Dissonance? Maybe that's it, but

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Speaker 1: it starts us to go down like a negative. It says, Okay.

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Speaker 1: This article is about the legendary music frequency of four

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Speaker 1: two hurts, which supposedly resonates with the universe and all

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Speaker 1: living things, but in a scientific way. Wait, so where

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Speaker 1: does Hitler come in? So he changed it like it's

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Speaker 1: like a subversive thing. Anyways, we're going too far down

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Speaker 1: to drip down this rabbit hole. But I do agree. Alright, Oh,

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Speaker 1: well that's okay. So they said that they've switched it

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Speaker 1: from four thirty two hurts to four or forty hurts

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Speaker 1: with the intention of making people feel bad. By making

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Speaker 1: people feel in a certain way, the Nazi state would

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Speaker 1: turn them into prisoners of a cheerless my and said,

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Speaker 1: cursing them to live a morbid life of sad consciousness. Yeah,

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Speaker 1: which I'm never happy in that store. I've talked before

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Speaker 1: on this show about the study that basically explained ghosts

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Speaker 1: and hauntings by a type of sound called infrasound. That's

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Speaker 1: basically it's like the opposite of a dog whistle. It's

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Speaker 1: like too low for the human ear to hear, but

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Speaker 1: it vibrates. It's such a frequency that you immediately feel dread,

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Speaker 1: and sometimes it vibrates in a way that your eyes

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Speaker 1: start seeing figures like off to the side. So I

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Speaker 1: don't know, I think for It's not gonna be the

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Speaker 1: first time I've said this on this show. Was onto something. Okay,

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Speaker 1: what else is over it? Um? I think the BuzzFeed

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Speaker 1: Facebook YouTube tutorials of like how to like when they

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Speaker 1: do like cheap crafts and they're like, this is a

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Speaker 1: life hack. I hate. I hate all life hack videos.

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Speaker 1: Let me learn it myself. Right right where your hoodie

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Speaker 1: back where it's filled with popcorn and just eat face first,

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Speaker 1: like it's a feeding back that actual life that must

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Speaker 1: feed suggested at one point, it was like out of

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Speaker 1: your hoodie, just like show somebody at a movie theater

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Speaker 1: with a hoodie filled with popcorn. They show him because

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Speaker 1: use your hands when you're eating popcorn. Like now you

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Speaker 1: can just dip your face into the buttery greasy. Yeah,

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Speaker 1: like having a greasy face. Yeah, I like getting it

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Speaker 1: all over myself. It's great because after you put you

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Speaker 1: put the hood on it just it naturally moisturizes your

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Speaker 1: head residual grease. Such a good idea. What a life hack? Alright?

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Speaker 1: What's a myth? What's something that you know to be false? Okay,

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Speaker 1: the most people think it's true. Okay, So in our hometown,

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Speaker 1: I was thinking about myths and like whatever. It is

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Speaker 1: in the back of our elementary school. And this is

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Speaker 1: like a really tiny town. I think there's people now,

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Speaker 1: but it was like smaller back in the day, so

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Speaker 1: and it's really on the middle of where it's not

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Speaker 1: like there's a big shitty outside of a big um.

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Speaker 1: There used to be this field and it had like

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Speaker 1: a grove of trees actually right next to the little

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Speaker 1: river and um at like recess and like school, you

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Speaker 1: could just kind of like run around and like play

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Speaker 1: in these fields. But then our teachers was like, don't

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Speaker 1: go back there. That's where the goat man lives, and

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Speaker 1: like that became this huge like local myth and like

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Speaker 1: legend like growing up that there was like this evil

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Speaker 1: goat man and by goat man we mean like a humanoids,

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Speaker 1: so everybody was always afraid and something. I lived down

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Speaker 1: the street from the school, so like I used to

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Speaker 1: play there like after school and at night, and then

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Speaker 1: I would be like the goatman's watching. But in hindsight,

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Speaker 1: I think it was just a man doing myth, you know,

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Speaker 1: was there some physical presence? There was always like there's

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Speaker 1: a shed back there, right, So maybe your teacher was

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Speaker 1: just kindly trying to keep you away from someone who

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Speaker 1: might have struggling with drugub right, not put the children

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Speaker 1: at risk away from the goat man. You know, saw

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Speaker 1: his goat feed right, Yeah, that's actually true. Like goats

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Speaker 1: are always like eating like just any weird ship And

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Speaker 1: is that true? Is that like that's true right now,

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Speaker 1: that's true. They can eat like makes you want to

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Speaker 1: chew on everything. So wo okay, speaking from experience, Oh yeah, down,

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Speaker 1: a lot of the behavior that like meth users exhibit

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Speaker 1: just is really creepy, like possessed, like haunted behavior, like

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Speaker 1: walking around in circles and then like digging holes in

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Speaker 1: the Yeah, I mean once you enter like meth induced psychosis. Yeah,

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Speaker 1: that will really like a scene from a horror movie.

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Speaker 1: So yeah, maybe all of our myths and like boogeymen.

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Speaker 1: Growing up, it sounded like you had an upbringing where

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Speaker 1: they were talking about goat men too, Like we had

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Speaker 1: windowless vans driving around like I mean, perfect place to bake.

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Speaker 1: Myth we used to win school was by shopping mall

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Speaker 1: and sometimes like old people would just kind of hang

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Speaker 1: by the perimeter to watch people practice sports. That was

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Speaker 1: the weird thing, like just people watching children at one time. Okay,

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Speaker 1: so one time there was a pe teacher we had

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Speaker 1: and we never knew what happened to him, disrespector and

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Speaker 1: he vanished and we didn't know what happened. Then one

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Speaker 1: day eighth grade before graduate, our homecoming game. He was

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Speaker 1: homeless and he was at the perimeter of the fence

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Speaker 1: like watching us play our homecoming game. He passed away,

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Speaker 1: like like years later, it turned I was very we

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Speaker 1: don't know, like I think, I think you had alcoholism,

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Speaker 1: and like that's why he lost his job and then

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Speaker 1: ended up on the street. And it was crazy because

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Speaker 1: at the time we're like, no, no one knows what

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Speaker 1: happened to him. And then he showed up and we

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Speaker 1: saw him through the thing. We're like, yo's that miss

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Speaker 1: respect So yeah, and then everyone is still like we

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Speaker 1: don't know what happened. I think to make this more

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Speaker 1: broadly applicable, I do think a lot of the times,

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Speaker 1: like in spooky situations or like spooky disappearances or whatever,

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Speaker 1: the spooky news man, they're the worst. I think a

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Speaker 1: lot of the time it's like substance abuse. It was like, oh,

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Speaker 1: he disappeared because he was you know as a kid. Yeah,

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Speaker 1: that was like the easy to explain stuff kids like,

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Speaker 1: we don't know, Yeah, that's the world. Guys. Also, like

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Speaker 1: a lot of the when you talk to police about

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Speaker 1: like the craziest ship they've ever seen and stuff, it's

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Speaker 1: stuff that when it's described to you, it's like, man,

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Speaker 1: that's horrifying, like what a crazy violent thing. But then

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Speaker 1: they're like, no, they were just drunk, Like they were

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Speaker 1: really drunk people who made like terrible decisions or yeah, yeah,

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Speaker 1: here we go. Although I get to see that video,

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Speaker 1: shame on those officers that told his PCP gave you

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Speaker 1: superhuman strife like that, because I remember why fucking Dare

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Speaker 1: Officer Officer Charles said a guy through a dumpster at

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Speaker 1: him at Jack in the Box and I was like, bro,

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Speaker 1: tell me why I look on YouTube every fucking week

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Speaker 1: looking for someone dusted just throwing a car or something

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Speaker 1: like that. I've not seen anything of like, you know,

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Speaker 1: because in Derrick class, they would act like people got

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Speaker 1: on Like I think DARE was secretly the PCP lobby

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Speaker 1: because like they, y, we got a game today. They

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Speaker 1: made all the stories they made up about other drugs

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Speaker 1: were like, you know, smoking weed gives you boobs and like, oh,

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Speaker 1: they that's what they pushed into here. Yeah, they didn't

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Speaker 1: even bother their mind. They're like, smoking weed is cool,

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Speaker 1: and we can't argue that PCP don't work around No,

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Speaker 1: they But then PCP gives you superpowers. The message that

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Speaker 1: I heard. All right, let's get into the stories of

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Speaker 1: the day. We're trying to take a look at what

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Speaker 1: people are thinking and talking about today. And uh, we

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Speaker 1: did want to bring up something that happened over the weekend,

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Speaker 1: which I think a lot of our hopes for the

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Speaker 1: upcoming elections were dashed. So speak, um what what happened?

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Speaker 1: So gosh are our great hope for for a new

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Speaker 1: future of America, new vision of a more inclusive America.

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Speaker 1: Stacy Dash from Clueless she was running for California's forty

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Speaker 1: four congressional district and uh on Friday she announced that

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Speaker 1: she will be actually withdrawing from the race because she

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Speaker 1: didn't realize how bad of a look it was for her.

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Speaker 1: I guess. Uh. So, she was running in a district

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Speaker 1: that like covers parts of like Compton, Watts, San Pedro,

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Speaker 1: North Long Beach, uh and is a solidly democratic area

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Speaker 1: and as we know, miss Stacy Dash is a very

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Speaker 1: problematic woman of color who basically I don't know if

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Speaker 1: she's she's definitely fully funked up off the Fox newskool aid. Uh.

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Speaker 1: And you know she said stuff like why do we

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Speaker 1: need Black History Month? Like why do we need b et?

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Speaker 1: That's racist? Like that's sort of like her her ideological viewpoint. Uh.

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Speaker 1: And yeah, part of it was sort of like, oh,

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Speaker 1: you know, I realized that this race would be a

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Speaker 1: heavy burden on my family and blah blah blah, Like

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Speaker 1: it was just a way to try and like rage

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Speaker 1: quit without looking like you're you just realized it was

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Speaker 1: an unwinnable thing and you didn't want to take els

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Speaker 1: repeatedly until November, So, you know, shout out to you.

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Speaker 1: You tried, but we know you were never gonna win anyway.

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Speaker 1: So I hope this gave you enough notoriety for whatever

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Speaker 1: your real goal was, whether that was like to be

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Speaker 1: like put yourself in the shop window for to get

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Speaker 1: back on TV or whatever, be a pundit. I don't know,

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Speaker 1: but see you later. That's what Kid Rock did I know? Yeah? Yeah,

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Speaker 1: these these people who just think, oh, you need is

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Speaker 1: fame to succeed. Uh, you need fame and uh, just

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Speaker 1: like a crippling, weird personality disorder that just perfectly fits

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Speaker 1: into our political and media lansa which like our president. Yeah,

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Speaker 1: or the one quote at six, she's like, I believe

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Speaker 1: that the overall bitterness surrounding our political process, participating in

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Speaker 1: the rigors of campaigning and holding elected office would be

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Speaker 1: detrimental to the health and well being of my family. Yeah, yeah,

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Speaker 1: of course not. But what do you think You're trying

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Speaker 1: to be a person of color and like a trumpeist

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Speaker 1: in Long Beach Watts. Yeah, that was always gonna be tough.

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Speaker 1: I don't know where you thought you were running in,

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Speaker 1: what platform you were on. I feel bad saying she

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Speaker 1: didn't write that, but she might have written that, always

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Speaker 1: thinking what these press releases, somebody else writes it. She's

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Speaker 1: definitely not this eloquent when she's like ripping down Obamacare

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Speaker 1: and saying like Obama's or whatever, the you know what

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Speaker 1: I mean, Like, yeah, she was Obama. No, No, I

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Speaker 1: was just gonna say. I think a lot of people

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Speaker 1: underestimate the fact that Trump spent so he had that

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Speaker 1: ridiculous run for presidency in two thousand twelve. I think

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Speaker 1: where it didn't go anywhere, and then he went on

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Speaker 1: his like birtha ship. But he spent those intervening years

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Speaker 1: just like NonStop ingesting talk radio and so so that

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Speaker 1: he had the crazy you know, right wing ideas down

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Speaker 1: to like his instincts. So he was like, you know,

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Speaker 1: I I think it's important to keep in mind that

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Speaker 1: he is a badly damaged person. And that Obama speech

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Speaker 1: where he you know, made fun of him and dropped

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Speaker 1: the mic like gave him just motivation, Like he is

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Speaker 1: just so hollow on the inside. Whereas all these other

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Speaker 1: famous people like Stacy Dash, Kid Rock, they're famous and

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Speaker 1: like they haven't had to work hard for like many years.

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Speaker 1: I'm sure they're they're just like saying, I mean, Kid

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Speaker 1: Rock grew up like upper middle class, right, Okay, now

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Speaker 1: why didn't you guys bring this up here? Kid Rock

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Speaker 1: had a tennis court struggling. She looked like she's twenty

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Speaker 1: two for seventy years now, right. I think generally the

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Speaker 1: response to fame is that you stopped developing as a

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Speaker 1: human being at that point, and you just like this

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Speaker 1: is why I think so many celebrities don't know how

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Speaker 1: technology works because they just have assistants who answer all

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Speaker 1: their emails for them and stuff. But Trump, because of

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Speaker 1: his just horrible sucking wound where his soul should be. Uh,

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Speaker 1: you know, was NonStop standing up all night ingesting talk radio,

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Speaker 1: on Fox News and everything, just with a single mindedness

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Speaker 1: of purpose of I'm going to run for president party.

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Speaker 1: And I was in the lab exactly because in this

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Speaker 1: right wing bullshit. Yeah, he got a great hoodie on

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Speaker 1: his ship. Right speed reading mine conflict read, but don't

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Speaker 1: underestimate how damaged he change that hurts from all. Right,

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Speaker 1: let's let's take a quick break and we'll be right back.

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Speaker 1: And we're back. And we were just talking about comparative

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Speaker 1: burger chains because Texas obviously everyone has water Burger pride

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Speaker 1: for water water Burger, water water Burger. I remember first

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Speaker 1: time it was like, is it water water burger made

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Speaker 1: of water? I don't know. Miles you ride for in

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Speaker 1: and out? I mean in and out? Is the best

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Speaker 1: drive through Hamburger in l A. Yeah, that's all. Uh,

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Speaker 1: nobody anymore, man, nobody anymore. You see nicked up. He's

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Speaker 1: in there with the crown on right now off He's like, well,

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Speaker 1: you can't have it your way. I think the one

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Speaker 1: thing I will say is that fast food on the

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Speaker 1: West coast is just better. Like if you go to

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Speaker 1: a McDonald's on the East coast, first McDonald's on the

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Speaker 1: West coast, the burgers and like all the food is

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Speaker 1: just better on the West coast. Really, Yeah, he's a drifter.

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Speaker 1: A drift. I love reasonab fast food, Like I like

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Speaker 1: runs a they got that out in Nebraska, or like

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Speaker 1: Lion's Choice. I've had that because do I get around

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Speaker 1: and I I get the munchies, very feeling, and I'm like,

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Speaker 1: what's what do you guys eat for no reason? Sometimes

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Speaker 1: sometimes I just drift out there. But anyway, we're Miles

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Speaker 1: is a love digest. Miles has a dark period, and

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Speaker 1: if there was a very dark period. Yes, political operative,

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Speaker 1: All right, let's talk about the president's obsession of the

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Speaker 1: day dujre. Uh that sounds good, I think, yes? Uh

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Speaker 1: so he he seems to be obsessed with Jeff Bezos

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Speaker 1: right now. We talked a little bit about him coming

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Speaker 1: after Amazon instead of Facebook on last week's show. Yeah,

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Speaker 1: but yeah, what what's going on here? I mean, look,

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Speaker 1: he has been having it out like since Friday or Thursday.

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Speaker 1: He was kind of making sense and he's like, we

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Speaker 1: gotta look at Amazon, man, like I think they're getting

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Speaker 1: too powerful or whatever. And people are like, did he

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Speaker 1: just like suddenly mistakenly fall into like a good point here? Uh?

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Speaker 1: But then over time, like it started getting crazier than

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Speaker 1: he was talking about, like you know, the Post Office

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Speaker 1: getting bamboozled by Amazon doing all these deliveries, etcetera, etcetera,

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Speaker 1: And it was just kind of a weird thing, like

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Speaker 1: since March because of all the Twitter bullshit. Uh, like

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Speaker 1: around sixty billion dollars in market value has been lost

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Speaker 1: for Amazon. Um. And so when you look at it, yes, okay,

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Speaker 1: if you take point by point, is Amazon getting pretty big?

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Speaker 1: I think that's worth looking into and and looking around

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Speaker 1: and see maybe y'all got a lot going on and

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Speaker 1: or probably we need to do something about that. Sure,

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Speaker 1: they probably need to be regulated. Yeah, valid point. Uh.

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Speaker 1: And then so on to the next one. The post Office. Okay,

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Speaker 1: are they really getting funket? Well, that's not true. I

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Speaker 1: mean he's acting like they're running a deficit, like it's

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Speaker 1: an actual profitable relationship because legally, like I don't think

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Speaker 1: the Post Office can make deals with companies unless it's

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Speaker 1: a profit they're gonna enter relationship with a company and

422
00:24:28,560 --> 00:24:30,800
Speaker 1: then take a hit. So that's just an outright lie

423
00:24:31,160 --> 00:24:33,880
Speaker 1: that the Post Office is like losing money, like it's

424
00:24:34,040 --> 00:24:37,399
Speaker 1: a profitable thing. So when you take all of that

425
00:24:37,560 --> 00:24:39,400
Speaker 1: in and you look around, you're kind of like, Okay,

426
00:24:39,440 --> 00:24:41,280
Speaker 1: what's going on? Because now Trump's like, well, how do

427
00:24:41,320 --> 00:24:43,680
Speaker 1: we get bezos? Like there's been reporting about how he's

428
00:24:43,920 --> 00:24:46,119
Speaker 1: you know, asking people his aids, like how can I

429
00:24:46,240 --> 00:24:48,760
Speaker 1: funk with him? Like funk with his money? And if

430
00:24:48,760 --> 00:24:50,840
Speaker 1: you think about it, you're like, wait a second, he

431
00:24:50,960 --> 00:24:56,000
Speaker 1: owns the Washington Post, and yeah, that's probably why he

432
00:24:56,200 --> 00:24:58,719
Speaker 1: wants to funk with him, because the Washington Post has

433
00:24:58,720 --> 00:25:02,520
Speaker 1: been doing very good reporting. Uh and like I mean

434
00:25:02,600 --> 00:25:05,639
Speaker 1: not they're not always flawless, but they've been pretty good. Uh.

435
00:25:05,720 --> 00:25:08,080
Speaker 1: And they've been regularly handing the president else. So I

436
00:25:08,119 --> 00:25:10,280
Speaker 1: think that's why he's in his feelings now and he's

437
00:25:10,280 --> 00:25:12,560
Speaker 1: like the Access Hollywood tape. Yeah, and he's also trying

438
00:25:12,560 --> 00:25:14,720
Speaker 1: to be like, you know, like, well, I heard the

439
00:25:14,760 --> 00:25:16,840
Speaker 1: Pentagon is doing a cloud computing deal with Amazon. How

440
00:25:16,880 --> 00:25:19,520
Speaker 1: can we tank that? That's like a multibillion dollar deal? Uh.

441
00:25:19,640 --> 00:25:21,920
Speaker 1: And again this is just all because I think the

442
00:25:22,280 --> 00:25:24,800
Speaker 1: Trump has convinced himself that somehow Jeff Bezos is in

443
00:25:24,880 --> 00:25:28,840
Speaker 1: the editorial offices. Yeah, I see Post being like, you know,

444
00:25:29,160 --> 00:25:31,760
Speaker 1: run this story, just make this thing up, and you know,

445
00:25:32,040 --> 00:25:35,040
Speaker 1: the Post and Bezos have explicitly been like, yo, I

446
00:25:35,119 --> 00:25:37,720
Speaker 1: have nothing to do with editorial decisions, and they're like

447
00:25:38,080 --> 00:25:39,480
Speaker 1: the one thing I weighed in on I think was

448
00:25:39,560 --> 00:25:42,560
Speaker 1: like a tagline, like a slogan for the paper. But

449
00:25:42,880 --> 00:25:45,600
Speaker 1: other than that, that's been it. Uh. And it's been

450
00:25:45,640 --> 00:25:48,840
Speaker 1: such a weird tantrum that even like business people on

451
00:25:48,960 --> 00:25:51,639
Speaker 1: Fox are like, yo, yo cool. I would be like this,

452
00:25:51,920 --> 00:25:54,879
Speaker 1: this is causing like massive fluctuations in the stock market

453
00:25:55,000 --> 00:25:57,639
Speaker 1: just because like you don't realize as president you can

454
00:25:57,720 --> 00:26:01,159
Speaker 1: say some spicy ship and it affects of rebodies portfolio.

455
00:26:01,600 --> 00:26:03,560
Speaker 1: And it's funny to hear people on Fox be like

456
00:26:03,640 --> 00:26:08,840
Speaker 1: I wouldn't name companies explicitly, but so you know, yeah,

457
00:26:08,840 --> 00:26:11,200
Speaker 1: I think I heard Sean Hannity specifically say yo cool

458
00:26:11,240 --> 00:26:15,000
Speaker 1: out be unless Yeah He's like, yeah, today's message to

459
00:26:15,040 --> 00:26:20,440
Speaker 1: the president. The president is so his policy is so

460
00:26:20,600 --> 00:26:25,119
Speaker 1: determined by his whims, you know, like he struck down right,

461
00:26:25,200 --> 00:26:30,639
Speaker 1: he's ego centered, and he struck down that consolidation merger

462
00:26:31,200 --> 00:26:34,600
Speaker 1: because it involved CNN. I mean, some people speculated it

463
00:26:34,760 --> 00:26:38,119
Speaker 1: was maybe because of that. Now you know he hates

464
00:26:38,160 --> 00:26:41,720
Speaker 1: Bezos for the Washington Post thing. Also, let's be honest,

465
00:26:41,760 --> 00:26:45,040
Speaker 1: it's because he's the richest man in the world. Trump

466
00:26:45,280 --> 00:26:49,840
Speaker 1: has richest man in the history of the world, right,

467
00:26:49,920 --> 00:26:52,720
Speaker 1: and Trump has always passed himself off like that's his image.

468
00:26:52,800 --> 00:26:54,960
Speaker 1: I'm the rich guy. I'm the richest guy in the world.

469
00:26:55,359 --> 00:26:58,479
Speaker 1: Are the cartoon Bezos could funk with him, be like, bro,

470
00:26:58,960 --> 00:27:01,680
Speaker 1: I could buy you, and I do you want me to?

471
00:27:02,800 --> 00:27:04,639
Speaker 1: I can? I can help you out. Well if anything

472
00:27:04,680 --> 00:27:07,159
Speaker 1: too was like pret Berrara, he tweeted something He's like, yo,

473
00:27:07,320 --> 00:27:10,479
Speaker 1: what if Bezos just bought Twitter and fucking close Trump's

474
00:27:10,480 --> 00:27:13,600
Speaker 1: account to be petty, because like Bezos could easily buy

475
00:27:13,680 --> 00:27:16,679
Speaker 1: Twitter for nothing, you know, for for being the richest

476
00:27:16,720 --> 00:27:18,920
Speaker 1: man on earth. And it's just a funny point. It's like,

477
00:27:19,000 --> 00:27:21,040
Speaker 1: you know, he could get real petty with you because

478
00:27:21,119 --> 00:27:24,359
Speaker 1: he has like money. Do you think he like work

479
00:27:24,440 --> 00:27:27,720
Speaker 1: works or he's just like sure at a certain point

480
00:27:27,800 --> 00:27:29,840
Speaker 1: he did. And then I think I would imagine like

481
00:27:29,840 --> 00:27:34,120
Speaker 1: a snowball effect, right, like Obazos is probably what Google

482
00:27:34,200 --> 00:27:38,119
Speaker 1: image him. Yeah, I bet he doesn't doesn't sleep at

483
00:27:38,119 --> 00:27:41,160
Speaker 1: all and just stays up worrying about, you know, every

484
00:27:41,280 --> 00:27:44,440
Speaker 1: last penny in his Uh. I don't think you get

485
00:27:44,520 --> 00:27:48,000
Speaker 1: to be that way while being mentally balanced. I mean

486
00:27:48,119 --> 00:27:50,480
Speaker 1: these photos of him just looking jacked in like a

487
00:27:50,920 --> 00:27:53,800
Speaker 1: down vest, like in aviators on them, like he's about

488
00:27:53,800 --> 00:27:57,800
Speaker 1: to go fucking murder, some kind of socialist what do

489
00:27:57,880 --> 00:28:01,119
Speaker 1: you mean capitalism? I thought he for sure was a

490
00:28:01,160 --> 00:28:03,320
Speaker 1: movie extra in that photo. I was like, who's this guy?

491
00:28:03,359 --> 00:28:04,879
Speaker 1: And then I was like, oh, that's owner man. He

492
00:28:04,920 --> 00:28:09,200
Speaker 1: looks like what's homeboy's name? Who's doing the state farm commercials? Oh? Yeah, yeah,

493
00:28:09,240 --> 00:28:13,200
Speaker 1: yeah j K Simmons. Yeah, looks like he's doing a

494
00:28:13,560 --> 00:28:16,680
Speaker 1: version of j K. Simmons swag. But yeah, so you know,

495
00:28:16,920 --> 00:28:18,760
Speaker 1: he's in his feelings. The rich man of the world

496
00:28:18,840 --> 00:28:21,600
Speaker 1: owns a paper that regularly shames him, so yeah, why

497
00:28:21,680 --> 00:28:24,600
Speaker 1: not try and do all kinds of weird ship as president,

498
00:28:25,080 --> 00:28:28,040
Speaker 1: like asked the Post Office to renegotiate deals with companies

499
00:28:28,119 --> 00:28:31,159
Speaker 1: like come on, bra Yeah, And I mean companies know

500
00:28:31,880 --> 00:28:36,560
Speaker 1: that Trump is determined by uh, you know, whims and

501
00:28:36,720 --> 00:28:39,560
Speaker 1: by you know, his personal allegiances and how he's feeling

502
00:28:39,560 --> 00:28:42,520
Speaker 1: at any given moment. Did you just discover something interesting

503
00:28:42,520 --> 00:28:45,040
Speaker 1: about Jeff Bezos? A couple of things. He's a George

504
00:28:45,120 --> 00:28:49,520
Speaker 1: Straits cousin, really like second cousin or like first to

505
00:28:49,640 --> 00:28:51,880
Speaker 1: pop it up here, But they did lose nine point

506
00:28:52,040 --> 00:28:55,200
Speaker 1: six billion on regulation fears. But we got to do

507
00:28:55,320 --> 00:28:57,959
Speaker 1: this because I also heard that George Strait was actually

508
00:28:58,200 --> 00:29:02,600
Speaker 1: a marketing major for like, um, the king of country.

509
00:29:02,680 --> 00:29:08,600
Speaker 1: George is Jeff Bezos's cousin. Yeah, what makes a lot

510
00:29:08,680 --> 00:29:11,200
Speaker 1: of sense when you're thinking about it. Yeah right, I

511
00:29:11,240 --> 00:29:13,800
Speaker 1: don't know. I mean, I actually don't know enough about

512
00:29:13,840 --> 00:29:17,800
Speaker 1: George straight to know spent ten hot summers on his

513
00:29:17,880 --> 00:29:21,680
Speaker 1: grandfather's cattle ranch in Catula, Texas. And his cousin is

514
00:29:21,760 --> 00:29:26,560
Speaker 1: country singer George Street. Yeah, look at that. So is Bezos?

515
00:29:26,680 --> 00:29:29,480
Speaker 1: Is he a texed um? Well, his grandfather is definitely

516
00:29:29,520 --> 00:29:32,640
Speaker 1: doesn't have a Texan vibe. He was born in Albuquerque,

517
00:29:32,680 --> 00:29:37,320
Speaker 1: New Mexico. He seems like he's more from outer space. Oh,

518
00:29:37,400 --> 00:29:39,160
Speaker 1: he had a cameo in Star Trek, so he was

519
00:29:39,240 --> 00:29:41,840
Speaker 1: from outer space. Peep that we should have busted that

520
00:29:41,920 --> 00:29:44,520
Speaker 1: George Street, miss, I know, well, hey, look this is

521
00:29:44,600 --> 00:29:47,280
Speaker 1: this is something I have to look into. Just going

522
00:29:47,360 --> 00:29:51,480
Speaker 1: back to the subject of the president's whims determining policy.

523
00:29:52,200 --> 00:29:55,600
Speaker 1: I think companies are onto this, which is why people

524
00:29:55,640 --> 00:29:58,440
Speaker 1: are speculating that that whole Sinclair thing we covered yesterday,

525
00:29:58,520 --> 00:30:01,240
Speaker 1: the super cut everybody he saw of all the different

526
00:30:01,560 --> 00:30:05,360
Speaker 1: local news channels delivering the same message about fake news,

527
00:30:05,480 --> 00:30:09,520
Speaker 1: that was basically a beat for beat reconstruction of the

528
00:30:09,720 --> 00:30:13,760
Speaker 1: president's talking points. People suspect that they are doing that

529
00:30:13,920 --> 00:30:16,920
Speaker 1: because they are trying to purchase a bunch more channels

530
00:30:17,000 --> 00:30:19,720
Speaker 1: from Tribune Media, and they want to make sure that

531
00:30:19,840 --> 00:30:22,920
Speaker 1: that gets approved by the president, and so they're kissing

532
00:30:22,960 --> 00:30:26,560
Speaker 1: his ass by just basically regurgitating his talking points while

533
00:30:26,560 --> 00:30:30,000
Speaker 1: also keeping it a political enough that it's not it's

534
00:30:30,360 --> 00:30:33,200
Speaker 1: just vague enough. That vague enough you could argue that, no,

535
00:30:33,360 --> 00:30:36,560
Speaker 1: that was totally a political actually that statement. So yeah,

536
00:30:36,680 --> 00:30:40,080
Speaker 1: but that story, and also the caravan story, which just

537
00:30:40,480 --> 00:30:47,400
Speaker 1: stays in the headlines exactly. Trumb is keeping the story

538
00:30:47,440 --> 00:30:52,840
Speaker 1: about the caravan of migrants from Central America coming up

539
00:30:52,920 --> 00:30:56,280
Speaker 1: through Mexico in the headlines. And now he's claiming he's

540
00:30:56,280 --> 00:30:59,120
Speaker 1: going to use the military to protect our border, just

541
00:30:59,400 --> 00:31:03,640
Speaker 1: fucking you know, use some gatling guns. What the funk

542
00:31:03,720 --> 00:31:06,440
Speaker 1: is he gonna do for what nine people? Yeah, So

543
00:31:06,760 --> 00:31:09,960
Speaker 1: it's it's a perfect news story for him because it

544
00:31:10,040 --> 00:31:13,200
Speaker 1: has like a potent image that's like it's almost like

545
00:31:13,360 --> 00:31:18,040
Speaker 1: they're being invaded, right, but they're there, but he's he's

546
00:31:18,080 --> 00:31:20,760
Speaker 1: like picturing it like the fucking mad Max group of cars,

547
00:31:20,840 --> 00:31:22,640
Speaker 1: like where the immigrants are, Like there's a dude that's

548
00:31:22,680 --> 00:31:27,080
Speaker 1: like yeah. Or when you go to the Drudge Report

549
00:31:27,240 --> 00:31:29,680
Speaker 1: right now, their top story is Trump sending military to

550
00:31:29,760 --> 00:31:33,120
Speaker 1: boarder caravan valves March, and they have a big picture

551
00:31:33,400 --> 00:31:35,880
Speaker 1: that looks like it could be like a zombie horde.

552
00:31:35,960 --> 00:31:38,840
Speaker 1: It's the backs of all these people's head right, It's

553
00:31:38,880 --> 00:31:41,200
Speaker 1: World War Z is how they're trying to portray it.

554
00:31:41,560 --> 00:31:45,480
Speaker 1: And right, and a couple of pieces of context. This

555
00:31:45,640 --> 00:31:48,080
Speaker 1: has happened. We we talked about this yesterday, but it's

556
00:31:48,080 --> 00:31:51,920
Speaker 1: worth emphasizing this has happened annually for the past couple

557
00:31:52,000 --> 00:31:54,760
Speaker 1: of years, and when it has happened in the past,

558
00:31:54,880 --> 00:31:58,760
Speaker 1: it did not become national news because nobody brought it

559
00:31:58,840 --> 00:32:01,560
Speaker 1: to Trump's attention, and it's also not that significant amount

560
00:32:01,600 --> 00:32:03,640
Speaker 1: of people that you can make it big news. Aside

561
00:32:03,680 --> 00:32:06,320
Speaker 1: from the sort of statement that they're making a seekings. Right,

562
00:32:08,560 --> 00:32:12,280
Speaker 1: it's a group of about people, most of them Hondurans,

563
00:32:12,360 --> 00:32:16,800
Speaker 1: but they're mostly planning on stopping short of the U. S. Border,

564
00:32:16,920 --> 00:32:21,000
Speaker 1: and most of them are staying in different Mexican cities

565
00:32:21,200 --> 00:32:23,920
Speaker 1: and only about two hundred of them are going to

566
00:32:24,040 --> 00:32:26,520
Speaker 1: continue on to the U. S. Border. So we're talking

567
00:32:26,520 --> 00:32:29,680
Speaker 1: about a group of two hundred people who are coming

568
00:32:29,760 --> 00:32:32,320
Speaker 1: to the US border, which is about the same number

569
00:32:32,480 --> 00:32:36,760
Speaker 1: that have come in years past, and the border security

570
00:32:36,920 --> 00:32:40,080
Speaker 1: has had no problem handling them because these people are

571
00:32:40,160 --> 00:32:42,440
Speaker 1: there to seek asylum and go through the process of

572
00:32:42,480 --> 00:32:44,280
Speaker 1: being asylum seekers. They're not gonna be like show up

573
00:32:44,280 --> 00:32:45,440
Speaker 1: at the board and be like, all right, we're gonna

574
00:32:45,440 --> 00:32:47,400
Speaker 1: hop the fence right here right exactly, which is the

575
00:32:47,760 --> 00:32:51,560
Speaker 1: narrative he's trying to They don't overwhelm the border security.

576
00:32:51,760 --> 00:32:55,480
Speaker 1: They we don't need like military weaponry there. Uh. The

577
00:32:55,840 --> 00:32:58,400
Speaker 1: big issue in the past has been that they have

578
00:32:58,920 --> 00:33:03,760
Speaker 1: detained these asylum seekers while they evaluated each one of

579
00:33:03,800 --> 00:33:06,760
Speaker 1: their cases, and they do evaluate the ship out of

580
00:33:06,800 --> 00:33:09,520
Speaker 1: their cases, you know. Like I was reading a story

581
00:33:09,640 --> 00:33:13,360
Speaker 1: from the San Diego Tribune that was saying that it

582
00:33:13,520 --> 00:33:16,720
Speaker 1: was June so like months after they had crossed the

583
00:33:16,800 --> 00:33:22,600
Speaker 1: border and most of the people were still being detained,

584
00:33:22,800 --> 00:33:25,960
Speaker 1: and like, these are families of people still being detained

585
00:33:26,200 --> 00:33:29,440
Speaker 1: because they're still determining whether or not they want to

586
00:33:29,480 --> 00:33:33,120
Speaker 1: grant them asylum. Uh So that's something we should be

587
00:33:33,160 --> 00:33:35,880
Speaker 1: talking about, is whether they should be detained the whole time,

588
00:33:36,080 --> 00:33:39,200
Speaker 1: and you know how they're being treated. But the the

589
00:33:39,320 --> 00:33:41,920
Speaker 1: issue is not whether or not like we're going to

590
00:33:42,000 --> 00:33:44,800
Speaker 1: be able to handle them at the border, nor are

591
00:33:44,840 --> 00:33:49,440
Speaker 1: they nor is their plan to like overwhelm the US

592
00:33:49,720 --> 00:33:52,840
Speaker 1: border defenses. Um But this just kind of brings up

593
00:33:52,880 --> 00:33:55,800
Speaker 1: a bigger thing that keeps coming up in my mind recently.

594
00:33:56,280 --> 00:34:01,520
Speaker 1: The debate surrounding news I feel like has evolved with

595
00:34:02,000 --> 00:34:04,640
Speaker 1: the world we now live in. I think we still

596
00:34:05,200 --> 00:34:08,000
Speaker 1: talk about stories and like whether they're true or false,

597
00:34:08,160 --> 00:34:10,680
Speaker 1: Like the Sinclair thing they were, like, you know a

598
00:34:10,760 --> 00:34:14,400
Speaker 1: lot of people have bias and tell these fake stories

599
00:34:14,840 --> 00:34:18,080
Speaker 1: just based on their bias. And um So I've talked

600
00:34:18,120 --> 00:34:22,480
Speaker 1: before about how nine eleven, the big problem with our

601
00:34:22,520 --> 00:34:26,640
Speaker 1: ability to stop the September eleventh attacks and in the

602
00:34:26,760 --> 00:34:30,360
Speaker 1: aftermath of the September eleventh attacks was our ability to

603
00:34:31,280 --> 00:34:34,520
Speaker 1: basically sort through all the data that we had, Like

604
00:34:34,640 --> 00:34:38,279
Speaker 1: during the Cold War, intelligence gathering was a big thing.

605
00:34:38,320 --> 00:34:41,520
Speaker 1: It was just like you got these few scraps from

606
00:34:41,760 --> 00:34:45,040
Speaker 1: your Russian spies and then like you put them together

607
00:34:45,120 --> 00:34:48,000
Speaker 1: into a coherent picture. And suddenly, with the advent of

608
00:34:48,120 --> 00:34:52,520
Speaker 1: like information technology, we had just fire hoses of information

609
00:34:52,640 --> 00:34:54,880
Speaker 1: coming at us, and we didn't know how to sort

610
00:34:55,000 --> 00:34:58,040
Speaker 1: through all that information. And that made it so that

611
00:34:58,239 --> 00:35:02,480
Speaker 1: we didn't get to the nine eleven attackers before it happened,

612
00:35:02,560 --> 00:35:04,759
Speaker 1: because we knew about that, Like that was a story

613
00:35:04,840 --> 00:35:07,520
Speaker 1: you heard in the aftermath, like how did we knew

614
00:35:07,560 --> 00:35:10,200
Speaker 1: about these people but we didn't stop them. It was

615
00:35:10,280 --> 00:35:13,160
Speaker 1: because they were like one of thousands of things we

616
00:35:13,280 --> 00:35:16,480
Speaker 1: knew about. And I feel like the same thing is

617
00:35:16,520 --> 00:35:20,440
Speaker 1: happening with how we addressed news, Like we have just

618
00:35:20,800 --> 00:35:24,560
Speaker 1: all this news coming at us now, and the question

619
00:35:24,680 --> 00:35:26,800
Speaker 1: is not like whether some of it is false or

620
00:35:26,840 --> 00:35:30,840
Speaker 1: whether some of it is true all the time, but

621
00:35:31,120 --> 00:35:35,000
Speaker 1: rather like what we choose to focus on, And like

622
00:35:35,200 --> 00:35:38,279
Speaker 1: this story about the border caravan, you know, people are

623
00:35:38,400 --> 00:35:42,800
Speaker 1: focusing on this like it is this unprecedented thing and

624
00:35:43,200 --> 00:35:47,040
Speaker 1: it's something that's happened every year, and yes it's happening,

625
00:35:47,080 --> 00:35:49,440
Speaker 1: and yet like they're not making the story up, but

626
00:35:49,680 --> 00:35:53,520
Speaker 1: by focusing on it, they're misleading you. It's basically well,

627
00:35:53,520 --> 00:35:55,680
Speaker 1: and it's a story that is like we now have

628
00:35:55,719 --> 00:35:59,000
Speaker 1: a president where this kind of story is politically advantageous

629
00:35:59,000 --> 00:36:01,680
Speaker 1: to the president because he can weaponize and distorted to

630
00:36:02,000 --> 00:36:04,400
Speaker 1: evoke like this idea that like if it's you know,

631
00:36:04,520 --> 00:36:08,319
Speaker 1: other countries they have refugees arriving on boats and they're like, oh,

632
00:36:08,360 --> 00:36:10,960
Speaker 1: people are just crashing the shores and trying to get

633
00:36:11,000 --> 00:36:13,000
Speaker 1: in our country or or storming the gates of our

634
00:36:13,080 --> 00:36:15,040
Speaker 1: borders and things like that, and this is like kind

635
00:36:15,080 --> 00:36:17,400
Speaker 1: of that perfect imagery that he needs, and then he

636
00:36:17,480 --> 00:36:19,400
Speaker 1: can like pump his own dick up and be like, oh,

637
00:36:19,520 --> 00:36:21,880
Speaker 1: you know what, I told Mexico to break up the caravans,

638
00:36:21,920 --> 00:36:23,520
Speaker 1: and they did because I told him, And now we'll

639
00:36:23,560 --> 00:36:26,000
Speaker 1: have the military there to fucking shoot people who are

640
00:36:26,040 --> 00:36:28,040
Speaker 1: seeking political sound like, what the fund are you going

641
00:36:28,080 --> 00:36:31,440
Speaker 1: on about? It's it's very weird. And I think another

642
00:36:31,560 --> 00:36:34,720
Speaker 1: reason too is we also don't actually we just focus

643
00:36:34,840 --> 00:36:37,680
Speaker 1: on what is happening and not focusing on what is

644
00:36:37,840 --> 00:36:40,560
Speaker 1: the root cause. Right, So like, if it's these migrants,

645
00:36:40,840 --> 00:36:43,480
Speaker 1: why don't you doing some more stories about Honduras and

646
00:36:43,719 --> 00:36:46,840
Speaker 1: what it is these people are trying to escape, because

647
00:36:46,960 --> 00:36:49,520
Speaker 1: that might resonate or that might at least help people

648
00:36:49,680 --> 00:36:52,120
Speaker 1: understand the world we live in, because everything isn't just

649
00:36:52,440 --> 00:36:55,320
Speaker 1: what happened or what might happen this season on the

650
00:36:55,360 --> 00:36:57,840
Speaker 1: New Jersey Shore, which I am very much interested in,

651
00:36:58,000 --> 00:37:00,000
Speaker 1: but I also want to know why people are moved

652
00:37:00,040 --> 00:37:02,000
Speaker 1: being in with the situations they're trying to escape. And

653
00:37:02,040 --> 00:37:04,840
Speaker 1: I think that's another way our media does betray us

654
00:37:04,960 --> 00:37:08,680
Speaker 1: or as a disservice, is by not actually focusing on like, oh, well,

655
00:37:09,120 --> 00:37:11,680
Speaker 1: why is this happening, not just it is happening and

656
00:37:11,880 --> 00:37:14,960
Speaker 1: just being like, oh, that's and also overarching, like we

657
00:37:15,080 --> 00:37:17,879
Speaker 1: need to look at statistics, like just because the local

658
00:37:17,960 --> 00:37:22,920
Speaker 1: news reports a crime doesn't mean that there aren't fewer

659
00:37:23,120 --> 00:37:25,600
Speaker 1: crimes happening. Like crime is at an all time low,

660
00:37:25,719 --> 00:37:28,719
Speaker 1: but the way that people talk on Fox News and

661
00:37:29,280 --> 00:37:32,080
Speaker 1: just looking at your local news, you would never suspect

662
00:37:32,200 --> 00:37:35,520
Speaker 1: that crime is an all time loan. But it's at

663
00:37:35,520 --> 00:37:37,200
Speaker 1: an all time low, and it has been going down

664
00:37:37,320 --> 00:37:40,920
Speaker 1: for years because of you know a number of different

665
00:37:41,000 --> 00:37:44,399
Speaker 1: factors that people never mentioned, and they don't mention those.

666
00:37:44,600 --> 00:37:50,080
Speaker 1: Overall statistical trends because it's more interesting and just more

667
00:37:50,200 --> 00:37:53,640
Speaker 1: consumable to tell the bite size stories of the crimes. Right.

668
00:37:53,880 --> 00:37:55,920
Speaker 1: I feel like we've lost a lot of empathy in

669
00:37:56,000 --> 00:37:59,400
Speaker 1: this nation, and there's no focus on mental health. I

670
00:37:59,480 --> 00:38:01,319
Speaker 1: think like a lot of these like news channels, they

671
00:38:01,320 --> 00:38:05,360
Speaker 1: always yeah, I agree, like it's sensationalize this crime, but

672
00:38:05,760 --> 00:38:08,719
Speaker 1: some some people just need like mental health services, and

673
00:38:08,800 --> 00:38:11,520
Speaker 1: instead of just being like this is a crazy man,

674
00:38:11,680 --> 00:38:14,520
Speaker 1: like hey, wait, like someone who the system fails. Wait

675
00:38:14,560 --> 00:38:18,560
Speaker 1: a second, you know, yeah, Akerman too brings that up,

676
00:38:18,719 --> 00:38:27,160
Speaker 1: you know, the mental health that's pretty deep. When Kanye

677
00:38:27,280 --> 00:38:30,920
Speaker 1: came out, I mean, everything we're saying is basically summarizing

678
00:38:31,000 --> 00:38:33,160
Speaker 1: the points made an anchor man. They don't give away

679
00:38:33,160 --> 00:38:39,720
Speaker 1: the secret to our philosophical north star is little, no effect.

680
00:38:39,960 --> 00:38:41,719
Speaker 1: But yeah, I think that's another reason too, that we

681
00:38:42,360 --> 00:38:45,120
Speaker 1: we never really give people context, like we expect people

682
00:38:45,120 --> 00:38:47,360
Speaker 1: to already know or we have to explain to them, like,

683
00:38:47,600 --> 00:38:50,200
Speaker 1: you know, especially when you think about how segregation works

684
00:38:50,200 --> 00:38:52,440
Speaker 1: in this country, A lot of people just go, oh,

685
00:38:52,719 --> 00:38:55,719
Speaker 1: like an unarmed black person was shot or whatever, and

686
00:38:56,239 --> 00:39:00,680
Speaker 1: not many people understand how through like legal agregation, through

687
00:39:00,760 --> 00:39:04,280
Speaker 1: like housing initiatives in this country and the highways. Yeah exactly,

688
00:39:04,560 --> 00:39:07,239
Speaker 1: we were redlining, we were making sure and again we

689
00:39:07,320 --> 00:39:09,440
Speaker 1: talked about this yesterday, but redlining was the practice of

690
00:39:09,560 --> 00:39:13,800
Speaker 1: identifying neighborhoods that were undesirable or where people would not

691
00:39:14,040 --> 00:39:17,600
Speaker 1: get loans and things, basically essentially to just say, keep

692
00:39:17,760 --> 00:39:21,120
Speaker 1: black people in these sections, or keep minorities in these neighborhoods,

693
00:39:21,200 --> 00:39:24,080
Speaker 1: and if they try and get out, just deny them

694
00:39:24,280 --> 00:39:26,359
Speaker 1: alone or give it at such a rate that it's

695
00:39:26,400 --> 00:39:31,480
Speaker 1: not really it's an untenable situation for them. And yeah, exactly.

696
00:39:31,719 --> 00:39:34,120
Speaker 1: And what people don't realize is that like especially like

697
00:39:34,200 --> 00:39:36,600
Speaker 1: as a lot of black people migrated to the North

698
00:39:36,840 --> 00:39:38,880
Speaker 1: out of the South in the early twentieth century for

699
00:39:39,000 --> 00:39:41,839
Speaker 1: like you know, industrial centers like my grandparents did. They

700
00:39:41,840 --> 00:39:44,959
Speaker 1: moved to Chicago from the South, Chicago the Dan Ryan

701
00:39:46,280 --> 00:39:49,239
Speaker 1: and in those neighborhoods, the way they were dealing with

702
00:39:49,440 --> 00:39:52,320
Speaker 1: this influx of people of color was, you know, they've

703
00:39:52,440 --> 00:39:56,560
Speaker 1: just created these very distinct neighborhoods that they segregated people.

704
00:39:56,640 --> 00:39:59,279
Speaker 1: And the segregation is much more intense. Like you think, oh,

705
00:39:59,600 --> 00:40:01,200
Speaker 1: in the South, that must be crazy. No, it's actually

706
00:40:01,280 --> 00:40:03,120
Speaker 1: like the Northeast and ship and stuff in the in

707
00:40:03,160 --> 00:40:06,040
Speaker 1: the Midwest, that's where it's the most pronounced. This. American

708
00:40:06,120 --> 00:40:11,000
Speaker 1: Life did an undercover story where they sent people. They

709
00:40:11,040 --> 00:40:14,800
Speaker 1: send people to enquire about apartments in New York City,

710
00:40:15,200 --> 00:40:19,440
Speaker 1: and it was white couple and then a black couple,

711
00:40:19,760 --> 00:40:22,560
Speaker 1: and they would go and the black couple had better credit,

712
00:40:22,719 --> 00:40:26,480
Speaker 1: better all the things that the landlord was supposed to

713
00:40:26,520 --> 00:40:29,560
Speaker 1: be looking for, and they would be turned away and

714
00:40:29,600 --> 00:40:32,200
Speaker 1: the white couple would be shown the apartment and basically

715
00:40:32,680 --> 00:40:35,560
Speaker 1: courted to go there. And so that's the way that

716
00:40:35,680 --> 00:40:38,120
Speaker 1: these things are enforced. It's like sort of a soft

717
00:40:38,600 --> 00:40:42,000
Speaker 1: form of segregation where it or like an invisible form

718
00:40:42,080 --> 00:40:44,520
Speaker 1: of segregation. It's not soft in the sense that it's

719
00:40:44,520 --> 00:40:46,680
Speaker 1: easy to get around well, and people who don't realize

720
00:40:46,680 --> 00:40:48,520
Speaker 1: they're like, oh, those people are just poor and that's

721
00:40:48,560 --> 00:40:50,279
Speaker 1: why they live there. It's like, no, that area is

722
00:40:50,360 --> 00:40:52,719
Speaker 1: designed to keep people in there and not coming into

723
00:40:52,760 --> 00:40:56,239
Speaker 1: other areas, because whether it's like blockbusting practices where like

724
00:40:56,520 --> 00:40:58,560
Speaker 1: black people would begin to move into white places and

725
00:40:58,600 --> 00:41:02,000
Speaker 1: those realtors would hire black people to create this illusion

726
00:41:02,120 --> 00:41:04,279
Speaker 1: of like a black takeover and like being like, hey,

727
00:41:04,320 --> 00:41:05,719
Speaker 1: you probably want like to a white family, Hey, you

728
00:41:05,800 --> 00:41:08,160
Speaker 1: probably want to sell your home and then jack up

729
00:41:08,200 --> 00:41:10,520
Speaker 1: the price for a black family to buy that home. Also,

730
00:41:10,719 --> 00:41:14,160
Speaker 1: like you also think about how schools and services get funded.

731
00:41:14,280 --> 00:41:16,080
Speaker 1: A lot of it's from property taxes too, So if

732
00:41:16,120 --> 00:41:18,240
Speaker 1: you're in the hood, there's not a lot of tax

733
00:41:18,280 --> 00:41:20,759
Speaker 1: revenue being generated, so that means the schools are underfunded.

734
00:41:20,960 --> 00:41:23,279
Speaker 1: That means the schools get more segregated. And again we

735
00:41:23,440 --> 00:41:26,120
Speaker 1: just want to act like it's it's all these other things. Again,

736
00:41:26,200 --> 00:41:28,120
Speaker 1: I think a lot of the times when we present stories,

737
00:41:28,320 --> 00:41:30,600
Speaker 1: people don't fully understand the context of even how we

738
00:41:30,680 --> 00:41:32,440
Speaker 1: get the situation. And like, one other point I want

739
00:41:32,440 --> 00:41:35,200
Speaker 1: to bring up is that, like one theory that is

740
00:41:35,239 --> 00:41:38,320
Speaker 1: going around is that obviously not it's like the theory.

741
00:41:38,360 --> 00:41:39,640
Speaker 1: But you know a lot of people are sort of like,

742
00:41:39,719 --> 00:41:43,239
Speaker 1: why does you know black white segregation have any kind

743
00:41:43,280 --> 00:41:45,800
Speaker 1: of bearing or influence on fatal police shootings? What's that

744
00:41:45,840 --> 00:41:49,720
Speaker 1: segregated black communities are just more heavily policed than others?

745
00:41:50,280 --> 00:41:53,000
Speaker 1: And in a study from thirteen showed that in Milwaukee

746
00:41:53,360 --> 00:41:57,640
Speaker 1: in Wisconsin has the highest like sort of like racism

747
00:41:57,800 --> 00:42:00,960
Speaker 1: racial index. Uh, it's it's a state racism index where

748
00:42:01,000 --> 00:42:05,520
Speaker 1: it basically takes UH. It looks at things like residential segregation, disparities,

749
00:42:05,520 --> 00:42:10,359
Speaker 1: and educational attainment, employment status, economic status, incarceration status UH,

750
00:42:10,440 --> 00:42:13,600
Speaker 1: and they score each of these. Wisconsin tops the list

751
00:42:13,719 --> 00:42:15,560
Speaker 1: for all of these for when you when they factor

752
00:42:15,560 --> 00:42:18,200
Speaker 1: all these things in and when they looked at Milwaukee specifically,

753
00:42:18,480 --> 00:42:21,239
Speaker 1: the state's largest city, half of black men between the

754
00:42:21,239 --> 00:42:23,520
Speaker 1: ages thirty and forty have been in jail at some

755
00:42:23,640 --> 00:42:25,879
Speaker 1: point in their lives, and the city zip code five

756
00:42:25,920 --> 00:42:28,960
Speaker 1: three two oh six is black and has the highest

757
00:42:29,000 --> 00:42:33,320
Speaker 1: incarceration rate like anything in any county there. So basically

758
00:42:33,360 --> 00:42:36,239
Speaker 1: what happens is the more segregated a place becomes your

759
00:42:36,280 --> 00:42:38,799
Speaker 1: only underlying people's biases that are fed by the news.

760
00:42:38,880 --> 00:42:40,560
Speaker 1: Where if you if you think, oh, you're only showing

761
00:42:40,640 --> 00:42:43,520
Speaker 1: news about people of color or like the violence being

762
00:42:43,560 --> 00:42:47,080
Speaker 1: bad in like uh in these neighborhoods, then immediately the

763
00:42:47,120 --> 00:42:48,600
Speaker 1: police are gonna be like, oh, well, now I'm in

764
00:42:48,640 --> 00:42:51,120
Speaker 1: a black neighborhood. I'm not in oh I deal with

765
00:42:51,239 --> 00:42:53,319
Speaker 1: regular people who might not have to get shot. I'm

766
00:42:53,360 --> 00:42:55,799
Speaker 1: immediately on the defense because now I'm in this crazy thing.

767
00:42:55,840 --> 00:42:58,160
Speaker 1: And like there's all these subtle factors all play into

768
00:42:58,239 --> 00:43:00,520
Speaker 1: sort of how we relate to the world. And yeah,

769
00:43:00,520 --> 00:43:02,920
Speaker 1: I think it's a very important thing for people to

770
00:43:03,040 --> 00:43:05,319
Speaker 1: kind of realize all of these stories have much more

771
00:43:05,400 --> 00:43:07,960
Speaker 1: complex context. I feel like that's really Like I lived

772
00:43:07,960 --> 00:43:10,200
Speaker 1: in Chicago for about ten years before I moved out here,

773
00:43:10,560 --> 00:43:14,480
Speaker 1: and like Rama manual is just systematically shutting down schools

774
00:43:14,600 --> 00:43:17,200
Speaker 1: like an impoverished neighborhoods. And then I just pulled it up,

775
00:43:17,280 --> 00:43:20,880
Speaker 1: like Chicago closes more schools and black neighborhood Chicago students

776
00:43:20,880 --> 00:43:23,200
Speaker 1: ad budget cuts. It's all of this stuff, like and

777
00:43:23,239 --> 00:43:25,560
Speaker 1: then there are these like some of my friends were teachers,

778
00:43:25,600 --> 00:43:26,600
Speaker 1: and I don't know if this is true or not,

779
00:43:26,680 --> 00:43:29,560
Speaker 1: but they were telling me that um Ram had this

780
00:43:29,640 --> 00:43:32,120
Speaker 1: like initiative of like, look, we're building new schools and

781
00:43:32,200 --> 00:43:34,800
Speaker 1: new charter schools, but these schools were empty because he

782
00:43:34,920 --> 00:43:38,360
Speaker 1: was adding them in neighborhoods that didn't need them, or

783
00:43:38,480 --> 00:43:42,680
Speaker 1: like prominent neighborhoods where like neighborhoods on the West Side

784
00:43:42,800 --> 00:43:44,800
Speaker 1: or even the South Side, and and some up in

785
00:43:44,840 --> 00:43:47,200
Speaker 1: the north like an uptown where you really needed it,

786
00:43:47,520 --> 00:43:50,759
Speaker 1: they weren't getting them and he was just shutting them down. Yeah,

787
00:43:50,840 --> 00:43:54,840
Speaker 1: I mean, and in Chicago. Like a story that I

788
00:43:55,280 --> 00:43:58,560
Speaker 1: hadn't really connected to the current spade of violence and

789
00:43:58,880 --> 00:44:02,400
Speaker 1: murder was that they shut the Cabrini Green Housing project

790
00:44:02,480 --> 00:44:05,000
Speaker 1: down like a number of years ago, and that was

791
00:44:05,080 --> 00:44:09,080
Speaker 1: a high crime area, but they basically turned it into

792
00:44:09,440 --> 00:44:13,839
Speaker 1: high income living area and didn't give all the poor

793
00:44:13,920 --> 00:44:15,960
Speaker 1: people who had lived there before a place to go,

794
00:44:16,360 --> 00:44:20,319
Speaker 1: So like that created just a horrible displaced people. Yeah,

795
00:44:20,680 --> 00:44:23,440
Speaker 1: so I don't know these are, uh, we're kind of

796
00:44:23,440 --> 00:44:24,920
Speaker 1: all over the map, But I do just want to

797
00:44:25,120 --> 00:44:28,480
Speaker 1: talk about Jeff Bezos. If you're just listening in Jeff Bezos.

798
00:44:28,520 --> 00:44:33,120
Speaker 1: It was a problem. Jeff Bezos, he started this whole thing.

799
00:44:33,840 --> 00:44:36,440
Speaker 1: But I do think, you know, it's important to keep

800
00:44:36,480 --> 00:44:40,480
Speaker 1: in mind that the our role as news consumers is

801
00:44:40,560 --> 00:44:43,759
Speaker 1: not just to look at individual stories and determine, you know,

802
00:44:44,560 --> 00:44:49,040
Speaker 1: whether they're true or not, but to actually find the context.

803
00:44:49,160 --> 00:44:52,800
Speaker 1: And you know, the redlining story is a story that

804
00:44:53,040 --> 00:44:56,080
Speaker 1: I just learned about on that this American Life episode

805
00:44:56,120 --> 00:45:00,440
Speaker 1: like four or five years ago, and I fucking that

806
00:45:01,000 --> 00:45:03,719
Speaker 1: I couldn't believe that I hadn't been told that. That's

807
00:45:03,800 --> 00:45:07,000
Speaker 1: like the most important story of the twentieth century when

808
00:45:07,000 --> 00:45:09,840
Speaker 1: it comes to like how American life has lived in

809
00:45:10,520 --> 00:45:13,200
Speaker 1: the current world, and it puts all these different things

810
00:45:13,239 --> 00:45:16,160
Speaker 1: in perspective, but it's not talked about talked about it.

811
00:45:16,239 --> 00:45:20,200
Speaker 1: But I think we're now coming into a world where

812
00:45:20,560 --> 00:45:23,600
Speaker 1: we have access to all this different information and you know,

813
00:45:23,840 --> 00:45:28,280
Speaker 1: this new generation has the ability to you know, find

814
00:45:28,400 --> 00:45:31,359
Speaker 1: those important stories and tell those important stories. I've seen

815
00:45:31,400 --> 00:45:33,600
Speaker 1: a lot of people, a lot of zeitgangers out there

816
00:45:33,680 --> 00:45:35,960
Speaker 1: doing the good work and telling people about the British

817
00:45:36,040 --> 00:45:40,839
Speaker 1: Cold Guest study, either in the context of the gun conversation,

818
00:45:41,120 --> 00:45:43,760
Speaker 1: and you know, redlining is another one of those stories

819
00:45:43,880 --> 00:45:47,440
Speaker 1: that is it's like a keystone. It's when we got

820
00:45:47,520 --> 00:45:49,920
Speaker 1: again Nicole Hannah Jones on this show, Right, we really do,

821
00:45:50,160 --> 00:45:55,000
Speaker 1: but she's amazing. But yeah, again, I think we we

822
00:45:55,160 --> 00:45:57,839
Speaker 1: do definitely do people disservice, not like we as a show,

823
00:45:57,880 --> 00:46:00,319
Speaker 1: but just at the people and you like journalists by

824
00:46:00,400 --> 00:46:03,520
Speaker 1: not at least telling people why like sure, there's a caravan, right,

825
00:46:03,880 --> 00:46:07,000
Speaker 1: but also explain to people why there's this caravan, Like

826
00:46:09,280 --> 00:46:11,239
Speaker 1: there's just big fans of Dodge. It's actually being paid

827
00:46:11,280 --> 00:46:14,760
Speaker 1: for by Chrysler. Check out this caravan. Huh. They're running

828
00:46:14,800 --> 00:46:17,080
Speaker 1: from something they need help from. Something and it's weird

829
00:46:17,160 --> 00:46:19,480
Speaker 1: because again, you know, there was like this Netflix show

830
00:46:19,520 --> 00:46:21,120
Speaker 1: we brought up called Go Back To Where You Came From.

831
00:46:21,160 --> 00:46:23,360
Speaker 1: It's like an Australian reality show where a lot of

832
00:46:23,440 --> 00:46:26,920
Speaker 1: like sort of anti immigrant xenophobic people had to actually

833
00:46:27,239 --> 00:46:30,000
Speaker 1: understand where the refugees were coming from and what they

834
00:46:30,040 --> 00:46:33,120
Speaker 1: were escaping, and many people, Oh, it started to click

835
00:46:33,200 --> 00:46:36,200
Speaker 1: for them because you know when you're that in proximity

836
00:46:36,239 --> 00:46:38,239
Speaker 1: of truth, like you can't deny them, and then you

837
00:46:38,360 --> 00:46:41,200
Speaker 1: instantly oh shit, okay, I get it. There were also

838
00:46:41,320 --> 00:46:44,000
Speaker 1: like stories about UM when Ice was coming into town,

839
00:46:44,080 --> 00:46:47,320
Speaker 1: like especially like small Texas towns, like it was like

840
00:46:47,400 --> 00:46:52,439
Speaker 1: a meat manufacturing town, Like that's like a slaughterhouse town,

841
00:46:53,239 --> 00:46:56,719
Speaker 1: and UM, people they had worked with for years, decades,

842
00:46:57,040 --> 00:47:00,520
Speaker 1: all of a sudden gone and then the like town locals,

843
00:47:01,120 --> 00:47:03,239
Speaker 1: we're like, oh my god, where did this person go?

844
00:47:04,040 --> 00:47:06,080
Speaker 1: He was deported? No, they they're only supposed to do

845
00:47:06,200 --> 00:47:08,920
Speaker 1: the bad guys and not realizing like this is going

846
00:47:08,960 --> 00:47:11,640
Speaker 1: to affect everything and people you know and people you

847
00:47:11,800 --> 00:47:14,160
Speaker 1: care about. But it's like that context of like we're

848
00:47:14,239 --> 00:47:16,279
Speaker 1: keeping the wall up to keep the bad womans out.

849
00:47:16,360 --> 00:47:18,560
Speaker 1: It's easy to say that in Middle America where you

850
00:47:18,640 --> 00:47:21,719
Speaker 1: probably don't have much interaction with people like immigrants, or

851
00:47:21,960 --> 00:47:24,880
Speaker 1: or have firsthand experience with the outside world, or just

852
00:47:25,040 --> 00:47:28,040
Speaker 1: you know, My community was very insular. It was like

853
00:47:28,160 --> 00:47:29,960
Speaker 1: the first time I had Thai food was when I

854
00:47:30,000 --> 00:47:32,000
Speaker 1: moved to Chicago. I had no idea what it was,

855
00:47:32,000 --> 00:47:33,680
Speaker 1: and he thought it was shitty Chinese. I was like,

856
00:47:33,880 --> 00:47:38,400
Speaker 1: what are these noodles? But it was like everybody was

857
00:47:38,480 --> 00:47:41,560
Speaker 1: like Christian a Christians, so like for a very long time,

858
00:47:41,600 --> 00:47:44,800
Speaker 1: I was like ignorant on like Judaism and like understand

859
00:47:44,880 --> 00:47:46,800
Speaker 1: like some of my friends were like, oh, this is

860
00:47:46,840 --> 00:47:48,759
Speaker 1: a very Jewish holiday, and I was like, what does

861
00:47:48,800 --> 00:47:54,160
Speaker 1: that mean? You know, you may even Jesus Christ. Look

862
00:47:54,200 --> 00:47:57,560
Speaker 1: how small that fella. Come here. You're gonna want to

863
00:47:57,560 --> 00:47:59,760
Speaker 1: see this, Mom and dad. They wear these little things,

864
00:48:00,080 --> 00:48:03,160
Speaker 1: no brim on there. All right, we're gonna take a

865
00:48:03,320 --> 00:48:13,880
Speaker 1: quick break. We'll be right back, and we're back. And

866
00:48:14,840 --> 00:48:18,800
Speaker 1: we wanted to finally cover the story of one of

867
00:48:18,840 --> 00:48:23,320
Speaker 1: the good people teaching our children, uh doing the Lord's

868
00:48:23,360 --> 00:48:27,040
Speaker 1: work down in Florida. UM what her name is Di

869
00:48:28,360 --> 00:48:30,920
Speaker 1: and she is a social studie teacher at Crystal River

870
00:48:31,040 --> 00:48:35,840
Speaker 1: Middle School. UH in Florida, and she was known online

871
00:48:36,080 --> 00:48:42,480
Speaker 1: as Kiana Dalachov, which is the pseudonymous host of a

872
00:48:42,520 --> 00:48:48,480
Speaker 1: white supremacist podcast called Unapologetic, where she talked some crazy

873
00:48:48,560 --> 00:48:56,600
Speaker 1: shit about race science and uh just sere. The crazy

874
00:48:56,680 --> 00:48:59,480
Speaker 1: thing was, I think HuffPo outed her like March eight,

875
00:49:00,239 --> 00:49:04,600
Speaker 1: and her defense was all my comments that were quote

876
00:49:04,640 --> 00:49:09,239
Speaker 1: political satire and exaggeration, and the persona was a quote

877
00:49:09,320 --> 00:49:13,080
Speaker 1: unquote hobby. I'm a part time racist. You know, I'm

878
00:49:13,080 --> 00:49:15,360
Speaker 1: a I'm a hobbyist race I got a hobby lobby

879
00:49:16,560 --> 00:49:19,759
Speaker 1: actually is the lobby store of racist exactly, and I

880
00:49:20,080 --> 00:49:22,520
Speaker 1: worked there. And she was also bragging like on her show,

881
00:49:22,640 --> 00:49:24,239
Speaker 1: like she was like, you know, I'm a teacher and

882
00:49:24,360 --> 00:49:26,759
Speaker 1: I actually inject all this ship into my teachings and

883
00:49:26,840 --> 00:49:30,520
Speaker 1: things like don't know it. Yeah, they just don't fucking realize. Uh.

884
00:49:31,400 --> 00:49:34,799
Speaker 1: And so basically you know that did not uh sort

885
00:49:34,840 --> 00:49:37,719
Speaker 1: of rub parents the school district the right way. And

886
00:49:38,520 --> 00:49:43,800
Speaker 1: she only finally today resigned after much pressure. So we

887
00:49:43,920 --> 00:49:46,279
Speaker 1: will see what happens. But it's crazy, Like, just to

888
00:49:46,280 --> 00:49:48,080
Speaker 1: give you an example, like the kind of ship that

889
00:49:48,120 --> 00:49:49,400
Speaker 1: they were talking about her show, there was like one

890
00:49:49,440 --> 00:49:51,160
Speaker 1: episode where there's a guy on who's like, I don't

891
00:49:51,200 --> 00:49:53,880
Speaker 1: like racist either, even though probably in the most technical

892
00:49:53,960 --> 00:49:56,160
Speaker 1: sense of the word, you could probably say I'm racist

893
00:49:56,239 --> 00:49:58,600
Speaker 1: because I do believe that some races of people are

894
00:49:58,680 --> 00:50:01,319
Speaker 1: inferior and superior in certain ways. I would never say

895
00:50:01,360 --> 00:50:04,960
Speaker 1: black people are you know, crap people. Their inferior at everything,

896
00:50:05,239 --> 00:50:07,640
Speaker 1: but there are certain things certain races can do better.

897
00:50:07,760 --> 00:50:10,160
Speaker 1: Asians are way better at math and the aggregate than

898
00:50:10,160 --> 00:50:12,800
Speaker 1: white people, and white people build cultures better than Asian

899
00:50:12,840 --> 00:50:14,759
Speaker 1: people are black people, and we can view it all

900
00:50:14,800 --> 00:50:17,319
Speaker 1: throughout history. So that's what her guest says, and then

901
00:50:17,360 --> 00:50:20,160
Speaker 1: as a host, she responds with I think I would

902
00:50:20,160 --> 00:50:23,680
Speaker 1: align myself similarly to your sentiment there, Like I would

903
00:50:23,760 --> 00:50:26,399
Speaker 1: pretty much say, yeah, okay, if believing that certain races

904
00:50:26,480 --> 00:50:29,840
Speaker 1: specialize in certain things makes me racist, then I guess

905
00:50:29,920 --> 00:50:33,000
Speaker 1: that's what I am, because I do share your sentiment there.

906
00:50:33,400 --> 00:50:35,960
Speaker 1: Everything you said like meshes perfectly with what you know.

907
00:50:36,040 --> 00:50:39,120
Speaker 1: I'm kind of like thinking on the inside here. So yes,

908
00:50:39,440 --> 00:50:43,640
Speaker 1: that was a woman teaching the children social studies. Social

909
00:50:44,600 --> 00:50:47,759
Speaker 1: that is double messed up. She did say that as

910
00:50:47,760 --> 00:50:50,440
Speaker 1: an adult, my decisions are my own. My family has

911
00:50:50,520 --> 00:50:53,279
Speaker 1: nothing whatsoever to do with my social media accounts or

912
00:50:53,360 --> 00:50:55,600
Speaker 1: my podcast. Okay, leave my family out of it, but

913
00:50:56,000 --> 00:50:58,520
Speaker 1: what's lurking in that family's closet, you know what I mean?

914
00:50:58,600 --> 00:51:02,960
Speaker 1: A hood from them. My humbly asked for forgiveness, as

915
00:51:03,040 --> 00:51:05,399
Speaker 1: it was never my intention to cause them grief while

916
00:51:05,440 --> 00:51:08,520
Speaker 1: engaging in a hobby on my personal time. I mean,

917
00:51:08,719 --> 00:51:11,440
Speaker 1: the kind of retweets that she deleted were like, white privilege,

918
00:51:11,560 --> 00:51:14,840
Speaker 1: proved to me that it exists, Show me statistics that

919
00:51:15,000 --> 00:51:19,080
Speaker 1: prove what this long to get fired as, prove well

920
00:51:19,160 --> 00:51:21,120
Speaker 1: that that's because she was using her fake as you know,

921
00:51:21,440 --> 00:51:23,759
Speaker 1: Twitter name, and then was even like, this is just

922
00:51:23,920 --> 00:51:26,040
Speaker 1: just underlying her shooting as a teacher, she says, this

923
00:51:26,160 --> 00:51:28,520
Speaker 1: is a tweet that was deleted. You know, America's education

924
00:51:28,600 --> 00:51:31,160
Speaker 1: system is designed to enable victimization when teachers are forced

925
00:51:31,200 --> 00:51:34,200
Speaker 1: to learn about institutional racism and prove it's real when

926
00:51:34,280 --> 00:51:36,880
Speaker 1: it isn't. I literally feel brain cells dying as I

927
00:51:36,960 --> 00:51:40,200
Speaker 1: read this bullshit hashtags Sonday Morning not the No Doubt song.

928
00:51:40,520 --> 00:51:49,080
Speaker 1: So yeah, she definitely was listening to that Sunday Morning. Yeah,

929
00:51:49,120 --> 00:51:51,600
Speaker 1: so she's out of here. So and for some reason,

930
00:51:51,680 --> 00:51:54,600
Speaker 1: when I was picturing this happening in my mind, I

931
00:51:54,680 --> 00:51:57,320
Speaker 1: don't know what I was expecting, but I wasn't expecting

932
00:51:57,360 --> 00:52:01,319
Speaker 1: her to look so like the exact blend of all

933
00:52:01,400 --> 00:52:04,240
Speaker 1: of my teachers growing up. And yeah, she looks exactly.

934
00:52:04,280 --> 00:52:06,960
Speaker 1: If you look at this photo, you will see elements

935
00:52:07,080 --> 00:52:10,960
Speaker 1: of like other teachers. That is my teacher. Yeah, so

936
00:52:11,719 --> 00:52:14,840
Speaker 1: computer sounds like nice teacher eyes too. Yeah, she just

937
00:52:14,960 --> 00:52:20,400
Speaker 1: looks like get you well. Never never trust a teacher

938
00:52:20,440 --> 00:52:27,359
Speaker 1: with a kind smile. Yeah. The lyrics to poison, Uh,

939
00:52:27,880 --> 00:52:29,640
Speaker 1: I don't know. Kids, Keep an eye on your teachers.

940
00:52:30,239 --> 00:52:32,040
Speaker 1: Sorry to throw that onto your kids. Not only are

941
00:52:32,080 --> 00:52:35,080
Speaker 1: you in responsible for your safety is school? Please monitor

942
00:52:35,280 --> 00:52:38,560
Speaker 1: the racist behavior, make sure they're not intentionally injecting racist

943
00:52:38,640 --> 00:52:44,719
Speaker 1: ideals and der social stuf. That's all the education you need. Bro.

944
00:52:44,840 --> 00:52:46,680
Speaker 1: I didn't go to college, Bro the wall. I just

945
00:52:46,719 --> 00:52:51,720
Speaker 1: got the Wu Tang double album. Ever, it's been lovely

946
00:52:51,800 --> 00:52:55,040
Speaker 1: having you here. Where can people find out more about

947
00:52:55,080 --> 00:52:57,120
Speaker 1: you and find you? Thank you guys so much for

948
00:52:57,160 --> 00:52:59,719
Speaker 1: having me. This has been a lot of fun. Um

949
00:53:00,000 --> 00:53:04,200
Speaker 1: possible without thank you. Um you can find me on Instagram,

950
00:53:04,800 --> 00:53:06,880
Speaker 1: uh as we're normally post like show stuff from my

951
00:53:06,960 --> 00:53:09,080
Speaker 1: website at remainer dot com. But it's m A I

952
00:53:09,480 --> 00:53:12,279
Speaker 1: n A R d um. People think it's with a y.

953
00:53:12,520 --> 00:53:14,799
Speaker 1: It's not. And my name is spelled like the word

954
00:53:14,880 --> 00:53:20,080
Speaker 1: because it is the word um. But yeah, like Instagram, Twitter, sweet, nice,

955
00:53:20,719 --> 00:53:24,280
Speaker 1: and Miles, before I get to you and your social media, guys,

956
00:53:24,480 --> 00:53:28,840
Speaker 1: we have just changed categories that were on on Apple

957
00:53:28,920 --> 00:53:32,080
Speaker 1: Podcast for reasons we're not clear on. But we went

958
00:53:32,160 --> 00:53:36,000
Speaker 1: from comedy to news and politics. Uh So, I guess

959
00:53:36,040 --> 00:53:39,759
Speaker 1: Apple Podcast listen more like not funny. Uh So we

960
00:53:39,880 --> 00:53:42,440
Speaker 1: are now in news and politics and we could use

961
00:53:42,560 --> 00:53:46,880
Speaker 1: your ratings, your rates and reviews, So if you like

962
00:53:47,040 --> 00:53:51,319
Speaker 1: the show, please go rate and review us. We would

963
00:53:51,360 --> 00:53:56,439
Speaker 1: greatly appreciate that. Uh. And Miles, where can people find

964
00:53:56,520 --> 00:53:59,560
Speaker 1: you online? Oh me, little me. You can find me

965
00:53:59,640 --> 00:54:03,520
Speaker 1: on Twitter and Instagram at Miles of Gray. And before

966
00:54:03,560 --> 00:54:06,480
Speaker 1: we get to my social media, another announcement, uh So,

967
00:54:06,719 --> 00:54:09,279
Speaker 1: I wanted to just ask you guys. We're still trying

968
00:54:09,320 --> 00:54:11,000
Speaker 1: to get to the bottom of the technical issue with

969
00:54:11,120 --> 00:54:14,480
Speaker 1: the episode skipping forward and backward ten seconds. Uh. We

970
00:54:14,800 --> 00:54:16,960
Speaker 1: have heard from a lot of you. We're still working

971
00:54:17,000 --> 00:54:18,960
Speaker 1: with our publishers. They thought they had fixed it, but

972
00:54:19,040 --> 00:54:21,919
Speaker 1: we're still hearing from you guys. So uh, please every

973
00:54:22,000 --> 00:54:25,560
Speaker 1: time you tweet at us at daily Zeygeist and let

974
00:54:25,640 --> 00:54:27,880
Speaker 1: us know about the problem and give us you know

975
00:54:28,080 --> 00:54:32,120
Speaker 1: what you're listening to it on what application, what phone? Uh,

976
00:54:32,280 --> 00:54:35,640
Speaker 1: and which episode and about where it happened. We get

977
00:54:35,760 --> 00:54:40,040
Speaker 1: closer to solving this annoying, annoying issue. Just a shout

978
00:54:40,120 --> 00:54:43,560
Speaker 1: out to Prianka Dos at Prianka Dos on Twitter, she

979
00:54:43,719 --> 00:54:47,359
Speaker 1: tweeted Apple podcast app iPhone X. The three episodes get

980
00:54:47,400 --> 00:54:49,360
Speaker 1: back ten seconds toward the middle and again towards the

981
00:54:49,440 --> 00:54:53,000
Speaker 1: end of the episode. Perfect succinct. That is exactly what

982
00:54:53,120 --> 00:54:56,160
Speaker 1: we're looking for. Every time we get one of those,

983
00:54:56,280 --> 00:54:59,560
Speaker 1: we get closer to solving it. Uh. And you can

984
00:54:59,600 --> 00:55:02,200
Speaker 1: find me on Twitter at Jack Underscore O'Brien. You can

985
00:55:02,239 --> 00:55:04,880
Speaker 1: find us on Twitter at daily Zeitgeist. We're at the

986
00:55:05,040 --> 00:55:08,120
Speaker 1: Daily Zeigeist on Instagram. We have Facebook fan page and

987
00:55:08,320 --> 00:55:10,920
Speaker 1: a website daily zigeist dot com, where we post our

988
00:55:11,000 --> 00:55:14,160
Speaker 1: episodes and are no or a link off to the

989
00:55:14,280 --> 00:55:17,120
Speaker 1: stories that contain the information that we talked about today.

990
00:55:17,719 --> 00:55:19,480
Speaker 1: That's gonna do it for today, Miles. Do you have

991
00:55:19,560 --> 00:55:23,120
Speaker 1: a song for it? I do today. Let's play Ivy Soul.

992
00:55:23,600 --> 00:55:26,800
Speaker 1: She is like a really dope artist MC singer of

993
00:55:26,880 --> 00:55:29,239
Speaker 1: this track is called all Mine. Uh you know, I

994
00:55:29,360 --> 00:55:31,800
Speaker 1: just I just I feel good listening to it, and

995
00:55:31,920 --> 00:55:34,120
Speaker 1: I feel like if you guys will too. So pump

996
00:55:34,200 --> 00:55:36,800
Speaker 1: that on your your commuter or whatever it is you

997
00:55:36,920 --> 00:55:39,680
Speaker 1: consume the show and bless you. We're gonna write out

998
00:55:39,719 --> 00:55:41,759
Speaker 1: on that. We will be back tomorrow because it is

999
00:55:41,800 --> 00:56:11,600
Speaker 1: a daily podcast. Talk to you guys, Bye bye. Look

1000
00:56:11,640 --> 00:56:13,759
Speaker 1: at the flicking the rest, Look at the tip of

1001
00:56:13,840 --> 00:56:16,040
Speaker 1: my tooth. I was twelve when I first called fist.

1002
00:56:16,320 --> 00:56:17,840
Speaker 1: Now I throw hands in the booth to tell you

1003
00:56:17,920 --> 00:56:21,120
Speaker 1: the truth. A little cash wouldn't be the worst thing.

1004
00:56:21,520 --> 00:56:24,360
Speaker 1: So if you would just loosen up them pr strings,

1005
00:56:24,400 --> 00:56:27,320
Speaker 1: I'm in pursue the happiness, clapping tracks for the truth.

1006
00:56:27,800 --> 00:56:30,360
Speaker 1: All I see is blackness the package. It has to be.

1007
00:56:30,480 --> 00:56:34,240
Speaker 1: Prove the catalyst with Hella after two for vision Wall, aesthetic,

1008
00:56:34,520 --> 00:56:38,840
Speaker 1: captivating masses, prime schemes, chock full of message. I ain't cocky,

1009
00:56:38,920 --> 00:56:42,160
Speaker 1: y'all her confidences, Keith busting doors up off their hinges

1010
00:56:42,239 --> 00:56:44,680
Speaker 1: with the weight of my speech, just waiting you'll say,

1011
00:56:45,400 --> 00:56:48,560
Speaker 1: no second coming the Lord. I got bigger hills to climb,

1012
00:56:48,640 --> 00:56:51,920
Speaker 1: No disrespect for it's my time. Yeah, thank you telling

1013
00:56:52,040 --> 00:56:57,279
Speaker 1: me I'm Thomless steady calling me your highness because your

1014
00:56:57,360 --> 00:57:02,120
Speaker 1: mind it's all mine's song. Yea, his mind it's allline,

1015
00:57:02,400 --> 00:57:07,919
Speaker 1: it's songline. Mama asked me why I'm stressing. She said,

1016
00:57:08,000 --> 00:57:13,200
Speaker 1: baby gets your blessing because his mind it's almond sol mind,

1017
00:57:13,600 --> 00:57:18,200
Speaker 1: his mind. Sold mine, turn up, turn up, turn up.

1018
00:57:18,240 --> 00:57:21,320
Speaker 1: We so let let let shawnny leaning like the serve,

1019
00:57:21,480 --> 00:57:24,080
Speaker 1: get your fifth fifth fifth fixed. It's the purpose with

1020
00:57:24,240 --> 00:57:27,160
Speaker 1: the furnace. Give me that beat below my sternal worship service,

1021
00:57:27,240 --> 00:57:30,360
Speaker 1: safe discernment. That's my ship. That's a hit. Kicking dust

1022
00:57:30,440 --> 00:57:33,680
Speaker 1: up because I heard Ivy sold beat that spontaneous combust

1023
00:57:33,760 --> 00:57:37,160
Speaker 1: up microphone trucker on the balls when they discuss up,

1024
00:57:37,440 --> 00:57:40,160
Speaker 1: come straight for your hand just might concuss you. So

1025
00:57:40,320 --> 00:57:42,640
Speaker 1: come correct or get your luck up. You know I'm

1026
00:57:42,680 --> 00:57:45,880
Speaker 1: not word around town is real rappids on the way,

1027
00:57:46,240 --> 00:57:49,240
Speaker 1: So forget what you was looking forward tomorrow because today

1028
00:57:49,600 --> 00:57:53,400
Speaker 1: dots a devil for hoping. We see many more handed

1029
00:57:53,440 --> 00:57:57,000
Speaker 1: beats the first forty eight feeling great, h thank you

1030
00:57:57,120 --> 00:58:02,840
Speaker 1: telling me I'm times daddy calling me your highness. It's

1031
00:58:02,920 --> 00:58:08,560
Speaker 1: my song, my salmon hands, my song, my song. My

1032
00:58:09,840 --> 00:58:14,080
Speaker 1: mama asked for why I'm stressing. She said, baby gets

1033
00:58:14,120 --> 00:58:21,680
Speaker 1: your blessing because it's mind song. Soalman is mine song. See,

1034
00:58:21,760 --> 00:58:24,640
Speaker 1: I was in the shot. I was feeling like the opposite,

1035
00:58:24,920 --> 00:58:30,200
Speaker 1: sipping on a like waterful shoo approximate released day booming,

1036
00:58:30,800 --> 00:58:33,680
Speaker 1: heart rate booming, trying to fix if my mom wouldn't

1037
00:58:33,720 --> 00:58:36,520
Speaker 1: let me have my own room. And I resume the campaign.

1038
00:58:36,720 --> 00:58:38,800
Speaker 1: But I ain't pressed with your carcass. I don't need

1039
00:58:38,880 --> 00:58:42,000
Speaker 1: votes of elections. I'm a descending of rockets, y'all wrapping

1040
00:58:42,040 --> 00:58:45,160
Speaker 1: and talks to death, nevery your penny. This show barely

1041
00:58:45,240 --> 00:58:47,480
Speaker 1: your song to your name, and yet you flex like

1042
00:58:47,560 --> 00:58:50,120
Speaker 1: a pro. I ain't got pressed at the moment, but yes,

1043
00:58:50,200 --> 00:58:53,160
Speaker 1: my presence it flows applying pressure to the wounds that

1044
00:58:53,240 --> 00:58:57,040
Speaker 1: I deliver my phones. Y'all should consider dying slow. Wouldn't

1045
00:58:57,080 --> 00:58:59,040
Speaker 1: want to miss to come up her wind up me

1046
00:58:59,160 --> 00:59:02,080
Speaker 1: the season for preparing for the summer with a shame

1047
00:59:02,160 --> 00:59:04,840
Speaker 1: with a bummer. You thought she was next. You got

1048
00:59:04,960 --> 00:59:07,080
Speaker 1: less dry than a hummut on send the blocks. I

1049
00:59:07,120 --> 00:59:11,120
Speaker 1: suspect my tintoes, tap tempos none can match me out.

1050
00:59:11,480 --> 00:59:13,520
Speaker 1: So when you ask me for the time, I can

1051
00:59:13,600 --> 00:59:18,560
Speaker 1: only reply that it's mine it's all mine. It's all mine. Yes, mine,

1052
00:59:18,880 --> 00:59:23,040
Speaker 1: it's all mine. It's all mine, Yes mine, it's all mine.

1053
00:59:23,360 --> 00:59:28,720
Speaker 1: It's all mine, Yes mine, it's all mine. It's all mine. Yeah. Yeah,