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Speaker 1: Hello the Internet, and welcome to Season one, Episode four

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Speaker 1: of Guys, the production of I Heart Radio. This is

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Speaker 1: the podcast where we take a deep dive into America's

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Speaker 1: shared consciousness and say, officially, off the top, funk the

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Speaker 1: Koch Brothers, Fuck Fox News, fuck Rush Limbaugh, fun Sexton,

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Speaker 1: fucking Shapiro. I uh, it's Thursday July. Names. Jack O'Brien

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Speaker 1: ak Twinkle Twinkle, Jack o'brice, Basie White translucent, free them

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Speaker 1: from their den um page. They need sunlight and shaped

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Speaker 1: twink twink Jack o'bra please take care of your sweet

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Speaker 1: sighs as courtesy as Samboni's Amboni, and I am thrilled

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

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Speaker 1: Miles Rag Baby Baby, it's a wide world, meaner no

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Speaker 1: nor Andrew. Easier to get by if your name's Kyle.

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Speaker 1: Baby Baby, it's a wild world. Not as hard to

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Speaker 1: get by if the police are on your side. Girl,

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Speaker 1: all right. Thank you to Christie I'm a Gucci Mane

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Speaker 1: Chrispy mean d for that yummy use of Islam Wide

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Speaker 1: World cover. Well, we are thrilled to be joined in

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Speaker 1: our third seats by the hilarious The Challenges the brilliant

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Speaker 1: Sara June, Oh baby baby, it's a Sorry June, I'm

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Speaker 1: staking up stealing it. I'm stealing it. Yeah. I think

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Speaker 1: the fund of singing that song is just doing the pan. Absolutely. Sorry.

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Speaker 1: How are you? How have you've been? I'm good. I

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Speaker 1: actually I have a guy coming to get my chickens

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Speaker 1: right now. You got a guy coming to get your chickens? Yeah,

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Speaker 1: I gotta. I had to get rid of some roosters.

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Speaker 1: I have to get rid of some roosters. He's coming

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Speaker 1: right now. And I was like, can you wait? And

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Speaker 1: he was like, no, I need these roosters come on

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Speaker 1: my way. Because I remember that was a little issue.

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Speaker 1: You were trying to store it out. You've got the roosters.

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Speaker 1: You're like, what I do these roosters? So are you

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Speaker 1: what's your what number of chickens are you going to

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Speaker 1: and what will you be left with? What are we

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Speaker 1: looking at? So? I I have I hatched eight chickens.

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Speaker 1: Four of them turned out to be roosters. Four hands

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Speaker 1: for roosters. Real gender equity. Once on my staff. Yeah,

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Speaker 1: there I called them my writing staff. Yeah, I'm the

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Speaker 1: head writer. Fantastic numbers. Yeah, and uh yeah, we have

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Speaker 1: great numbers, and we're actually going to get rid of

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Speaker 1: three men today. So we're going to be the most

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Speaker 1: progressive writing staff in Los Angeles. Yeah. One on four,

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Speaker 1: your APR you got ratioed that that ratio is not good. Um,

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Speaker 1: you know what an ap or he is? Isn't that

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Speaker 1: what it is? No, that's a that's bees bees, that's

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Speaker 1: rights honey bees. Actually I'm not sure. I mean, I'm

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Speaker 1: not going to chicken up to see bumbledee tuna. Therefore,

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Speaker 1: same thing. I just like chickens, fish bees. Sarah. Your

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Speaker 1: approach is like annoyed preschool teacher. It's like, oh, is

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Speaker 1: that on an a period? Alright? So Jack, why don't

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Speaker 1: you sit then down? Because I'm the teacher and you're

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Speaker 1: four years old? Um, next, kids, do we know the difference? Okay? Actually,

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Speaker 1: before I gets started, do you know the difference between

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Speaker 1: a bee and a chicken? Everyone? Okay, you're thinking of it,

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Speaker 1: thinking of aviary, Jack, But that's incorrect because chickens also

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Speaker 1: don't fly. So what is just a good old chicken coop?

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Speaker 1: Chicken coop coop Deville? And what you can only have

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Speaker 1: You're saying, what was the balance? You can only have

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Speaker 1: one rooster correct in l A County. Yeah, it's like

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Speaker 1: backyard chickens, like ordinances you can only have one rooster

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Speaker 1: per coup. But what was the deal with this safety

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Speaker 1: because you're saying like roosters are out here violating. Like, Okay,

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Speaker 1: so here's something. Here's something that I found out and

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Speaker 1: this is related to my underrated for today by the way. Okay,

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Speaker 1: well then maybe we'll relate. Maybe we'll get into that.

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Speaker 1: We'll get into it later. Okay, I'll tell you guys

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Speaker 1: all about that. Before we do that, we are going

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Speaker 1: to tell the listeners a couple of things we're talking

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Speaker 1: about today. Uh, Louis go mare is uh positive for

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Speaker 1: covid um? Yeah? Or is it gomert I like go marre, dude,

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Speaker 1: Louis Goman. Uh. We're gonna talk about Michigan. Trump's relation

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Speaker 1: to Michigan as uh it relates to the electoral college.

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Speaker 1: We are going to talk about who these tech execs

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Speaker 1: really want to win this upcoming election. Uh. We'll talk

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Speaker 1: about America's frontline doctors, uh, and just kind of touch

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Speaker 1: on them where they what, what their beliefs are, where

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Speaker 1: where how much we should be listening to what they

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Speaker 1: have to say, Um, we're gonna have a segment of

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Speaker 1: a cool thing I heard on another podcast. Uh, and yeah,

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Speaker 1: should we do in the office into a segment and

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Speaker 1: then Mile is going to open a cold brew real slow,

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Speaker 1: but first sorry. We like to ask our guests, what

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Speaker 1: is something from your search history that's revealing about who

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Speaker 1: you are? UM? For my search history, I have recently

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Speaker 1: been searching zoom China. Uh, and that's a great search.

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Speaker 1: It's a great search to do good to find out. UM.

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Speaker 1: And it turns out that, uh, the Chinese government spying

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Speaker 1: on you through Zoom and TikTok is actually still less

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Speaker 1: invasive than the American government through TikTok and Zoom and Instagram,

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Speaker 1: your Facebook, and your telephone. So I feel much better

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Speaker 1: now about the amount of information just about me and

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Speaker 1: my buying habits streaming around the world. I like to imagine,

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Speaker 1: like every time I make an etty purchase, it's like

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Speaker 1: the butterfly effect, you know, I hit click on that

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Speaker 1: vintage caftan and just all of this information streams around

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Speaker 1: the world like gusts of wind. You know, it's the

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Speaker 1: new nature my my purchase history. An interesting point, like

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Speaker 1: the world is so connected that it's just pure chaos.

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Speaker 1: There's a there's no controlling anything. Yeah, just clicking something

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Speaker 1: sets off a chain of like nine thousand macros and algorithms.

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Speaker 1: This is why all your Facebook ads are so off

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Speaker 1: the wall. You're like, why would they why would they

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Speaker 1: advertise this to me? And it's like there's a there's

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Speaker 1: an algorithm, you know, and every time you click, you're

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Speaker 1: like resetting the algorithm, feeding the algorithm. So yeah, every

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Speaker 1: time I buy, you know, a VHS copy of cheese

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Speaker 1: and chalks up in smoke on eBay or whatever, um,

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Speaker 1: just to get the wrong idea about you, I get

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Speaker 1: the wrong idea about me. Well yeah, sorry, I was saying,

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Speaker 1: they say it's dead stock and knowing the rapper, but

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Speaker 1: it never is. Never the barcode scratched off, Like it's

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Speaker 1: a promo copy you got that's still damaged, and I

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Speaker 1: will get that perfect copy. Um. Yeah, I think I

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Speaker 1: do the same thing when I'm high on the God's

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Speaker 1: Internet as I think of like the ship that I

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Speaker 1: look at, and I'm like, maybe you need to like

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Speaker 1: follow another sports team online more vigorously. So if I

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Speaker 1: were like was on the Lamb and they're like, look

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Speaker 1: if this guy searches arsenal, weed and anything to do

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Speaker 1: with like basketball, Like it's this is the guy. This

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Speaker 1: is like instead of a wanted poster with your face

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Speaker 1: on it, there's just as the list of your search terms. Yeah,

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Speaker 1: they're like this guy is probably wearing a hat, whereas

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Speaker 1: Soccer Jerseys is going to talk about being from the

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Speaker 1: valley incessantly and like how like O G cush is

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Speaker 1: overrated because it was talked about and wrapped too much

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Speaker 1: and there are other strains a week wow, Okay, yeah,

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Speaker 1: now we're getting into well controversial terry. Look about what

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Speaker 1: I mean to say is that they are more strains

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Speaker 1: of cush than O G. And I think just became

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Speaker 1: a o G just became synonymous with cush whatever and

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Speaker 1: it sounds cool. And look now now the NSA up,

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Speaker 1: they're grabbing me. Now I gotta go. Whoa suits and

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Speaker 1: sunglasses just burst into miles. What is something you think

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Speaker 1: is overrated? Sarg? Well here we go. Here we're going

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Speaker 1: to get into a little bit more of the dark stuff.

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Speaker 1: I know you guys love to have me comedian sorrow

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Speaker 1: June on here to yell at you about the depths

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Speaker 1: of the human site. We already got the apiary smoke show.

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Speaker 1: So I mean, first of all, you're doing it wrong

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Speaker 1: because you're putting your birds in a napier. I'm really

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Speaker 1: squishing them in the darkness yet making my birds live

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Speaker 1: in a flat screen. Um, I'm not getting any honey

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Speaker 1: from these birds. That's over. It's just like black and

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Speaker 1: white honey that comes out and it tastes awful. Overrated

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Speaker 1: Husky Pomeranians, you guys need to fucking stop with designer breeding.

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Speaker 1: I don't know who all you are, but I have

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Speaker 1: seen too many fucking Husky Pomeranian mixes in my Craigslist

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Speaker 1: searches for puppies I will not adopt. Here's the fucking thing.

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Speaker 1: When I came on this podcast a few months ago

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Speaker 1: to talk about how I had chickens, some people replied

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Speaker 1: to let me know that roosters were extremely violent and

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Speaker 1: would rape and murder hens um. And that's why, you know,

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Speaker 1: you had to have tremendous amounts of hens to one

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Speaker 1: rooster or else the rooster will just like go crazy.

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Speaker 1: I did some research because this is very upsetting to me,

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Speaker 1: and I found out that this kind of aggression in

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Speaker 1: roosters is not natural and is the result of selective breeding.

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Speaker 1: It is a it is an unintended side effect of

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Speaker 1: selective breeding for other traits like being fast growing, having

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Speaker 1: large breasts, um and uh like not you know, not

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Speaker 1: developing certain kinds of diseases. So the chickens that I have,

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Speaker 1: there's a very low probability number one that the roosters

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Speaker 1: will turn out to be as aggressive. But the point

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Speaker 1: is that when you selectively breed animals for certain traits,

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Speaker 1: you are also breeding for other traits, and usually those

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Speaker 1: traits are like you don't want neurological dysfunction. So that's

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Speaker 1: why that's why pure bred dogs are so much more

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Speaker 1: nervous and prone to developing different types of diseases than

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Speaker 1: mutts you know, or or you know, like just dogs

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Speaker 1: that are interpred dogs. But like, and when it comes

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Speaker 1: to design or breeding, what you're doing, especially with this

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Speaker 1: absolute monstrosity that is the husky Pomeranian. And let me

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Speaker 1: say this first of all, very cute, very cute dog. Absolutely, yeah,

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Speaker 1: you're looking at what you're looking at here is a

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Speaker 1: mini mini husky. It's cute, but a Pomeranian is not

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Speaker 1: a healthy dog and it is not all right, now,

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Speaker 1: think about its joint problems that no, I don't care,

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Speaker 1: that's it's it sucks because I'm like, well, cute, little

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Speaker 1: little husky luppy, And then I realized it's it's actually

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Speaker 1: a fully grown Husky Pomeranian mix, and then it didn't

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Speaker 1: kill me. Pugs can't give birth naturally like pugs, they

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Speaker 1: have to have cesareans because they can't give birth fashionally

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Speaker 1: because they're so bred. And like a friend who had

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Speaker 1: a bulldog who was like, you know, they had to

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Speaker 1: breathe that flat ass face and it was like the

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Speaker 1: end of its life was so horrific sounding. I'm like,

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Speaker 1: your dog is dying and it's like sucking up our

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Speaker 1: mushroom high in your backyard can do something that's the

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Speaker 1: worst thing to hear when you're high on mushrooms. A

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Speaker 1: dying dog and yeah, and their eyes are watering and

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Speaker 1: it's like, please just help me, and I'm like tripping,

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Speaker 1: so I'm like, yes, I will, sir, tell me where

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Speaker 1: to take you ry yea. And what's really fucked up

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Speaker 1: and and truly overrated about these dogs. It's like nobody's

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Speaker 1: getting a husky Pomeranian people. People are breeding big dogs

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Speaker 1: to be smaller so that they can get them in

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Speaker 1: an apartment building that has weight limits or travel with

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Speaker 1: them for travel with them. And that's really fucking shitty

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Speaker 1: and it's really irresponsible, and it is not okay to

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Speaker 1: get a dog when you cannot care for that dog.

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Speaker 1: And it's even worse to interbreed a dog and do

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Speaker 1: designer breeding to get a certain look and not think

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Speaker 1: about the health of the dog and the needs of

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Speaker 1: the dog. And it just makes me so fucking mad

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Speaker 1: every time I see one of these cute ass puppies

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Speaker 1: and they're so cute and they make so upset, right,

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Speaker 1: You're like, what's going on? Like I love this and

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Speaker 1: then it's a tragedy. But it's so cute and I

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Speaker 1: want to and I hate it and underrated and overrated.

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Speaker 1: It's like I want to give it a little kiss

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Speaker 1: on its tiny little head. But and I'm just like,

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Speaker 1: huskies need to be bigger than that. Huskies need a

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Speaker 1: lot of room, you know, Like they're especially especially in

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Speaker 1: l A. This is a thing with like people get

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Speaker 1: huskies and they don't know how much work they are.

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Speaker 1: They're really smart dogs, they're really big, they're very good

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Speaker 1: at getting out. You have to have a very high fence,

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Speaker 1: you know, like they were very strong prey instinct. And

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Speaker 1: I just can't tell you how many fucking as I've

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Speaker 1: seen of like we got a husky and we didn't

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Speaker 1: realize we would need to walk every day. We didn't realize, Yeah,

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Speaker 1: we didn't realize what it was. We didn't google it,

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Speaker 1: you know, you know, you know, just to like, you know,

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Speaker 1: be cultural historians. Do we how far back do we

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Speaker 1: take this mini dog trend? Because I feel like Paris

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Speaker 1: Hilton made it like standard rich person accessory all the

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Speaker 1: way back to the Chinese emperor right right, right, But

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Speaker 1: I'm thinking like in now, like sort of how modern

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Speaker 1: like the modernity and modernity and how we're looking at

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Speaker 1: it now, like how that's really sort of reasserted itself

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Speaker 1: as like this like sort of signifier almost two or

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Speaker 1: it's like, yeah, prepars, putting a chihuahua in a purse

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Speaker 1: was like a very big this is an accessory thing,

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Speaker 1: yeah yeah, um, And then yeah it is designer. It's

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Speaker 1: being designed for its looks and without any conception of

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Speaker 1: what what the what it's inside they're like or what

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Speaker 1: the experience of the people. Don't people don't just want

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Speaker 1: to get chihuahuas and naturally small dog because they're very

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Speaker 1: nervous and like the well, like that big gas brain

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Speaker 1: on them. The other thing about chihuahua is is they're

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Speaker 1: way less nervous in like the wild or when they're feral,

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Speaker 1: because they run it packs. They run in packs of

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Speaker 1: like eight or ten, and they could take down a coyote.

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Speaker 1: So if you put a chihuahua with a bunch of

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Speaker 1: other chihuahuas, I mean immediately it's chaos. But then but

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Speaker 1: then later when they bond, they're like they help each other,

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Speaker 1: and that's why, like, yeah, they're safer. Yeah. When a

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Speaker 1: chiuawa is like barking all the time, it's because it's

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Speaker 1: I'm the only fucking choawa here. Hello, Hello, Hello, that's

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Speaker 1: you guys aren't going to bite anyone. Yeah. Um, what

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Speaker 1: is something you think is underrat underrated? Um? I'm gonna say,

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Speaker 1: rescue dogs who rescued who? You know what I'm saying?

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Speaker 1: Rescue dog? Whoa who? Sometimes I think who taught who?

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Speaker 1: Because the dogs teach me English and I teach them.

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Speaker 1: The dogs tea. Yeah, dogs taught me farcy I speak

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Speaker 1: parsy now thanks to my dogs, I do. I've been

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Speaker 1: underrated getting a fucking dog, dude, dogs rule, and I

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Speaker 1: really want one and I can't have one right now, um,

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Speaker 1: but I want one so bad. And I've just noticed

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Speaker 1: a lot of people getting dogs in quarantine because it's

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Speaker 1: like it is a good time to get a dog,

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Speaker 1: if you're going to get one, because everybody's home more

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Speaker 1: and stuff. It's very good for like especially for a

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Speaker 1: dog that needs like an adjustment period, you know, temparation,

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Speaker 1: anxiety and stuff. Underrated dogs, Have you guys thought about them?

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Speaker 1: Have you seen them? I love them, love dogs like

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Speaker 1: they're cute. Yeah, they're cute. They're really nice. They love you.

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Speaker 1: I had a very I had a visit with a

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Speaker 1: very very nice dog, a very large dog of Golden

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Speaker 1: Retriever Massif mix that was so beautiful and just a

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Speaker 1: sweet dog. This dog, I've never seen a dog that

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Speaker 1: looked like a Teddy Bear. Like his his face looks

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Speaker 1: like a fucking Teddy bear. It's like so like fluffy

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Speaker 1: and like overgrown, like the features are kind of like

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Speaker 1: but he just like light brown and just like Teddy

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Speaker 1: bear eyes and big nose. And he was just like, oh,

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Speaker 1: he's so cute and he was like a big dog

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Speaker 1: that never barks, and he would just like come up

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Speaker 1: and put his head on you. His name is Toast

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Speaker 1: and I love him. Yeah at Leasta just doing another

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Speaker 1: podcast like this. Sorry, Like what man? No? I feel

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Speaker 1: like that's kind of where some content is going to

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Speaker 1: be headed with people just sort of like needing to

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Speaker 1: truly escape from like everything where sort of like total

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Speaker 1: I don't know. There's just thing where it's like you're

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Speaker 1: overhearing these like I don't know, it's like you're at

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Speaker 1: a coffee shop and there's three people who are way

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Speaker 1: too excited about dogs talking about It's a second screen

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Speaker 1: content for just wasting time on the internet. This is

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Speaker 1: why you know people have all these Instagram accounts for

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Speaker 1: their cats and dogs and you know follows. Yeah, yeah totally,

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Speaker 1: and they need those people who are there. But then

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Speaker 1: they're like bitter though when they're like they're like, actually

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Speaker 1: just follow that like account. I'm like, that's a dog

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Speaker 1: kind of like that's like my dog, but it's got

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Speaker 1: like fifteen thousand followers on it, so like just like

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Speaker 1: following me on there, I'm like all right, yeah, what's oh,

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Speaker 1: just follow my dog on the I'll tell you everything

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Speaker 1: you need to know. It's pom poms with two zis.

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Speaker 1: He's actually got some really radical leftist viewpoints that he

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Speaker 1: shares on his Instagram that what is a myth? What's

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Speaker 1: something people think it's true? You know to be false?

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Speaker 1: People think you need to pay for weed and it's

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Speaker 1: not true. Yeah, grow it, oh grow just like deal

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Speaker 1: it and then hang out of the people's house. Hey

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Speaker 1: find some kids at their rich private school, and then

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Speaker 1: you tell them that you get weeds straight from the

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Speaker 1: people from the medical club, and then you sell it

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Speaker 1: to them at a five x mark up what they

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Speaker 1: leave it in the bottle because they trip off that

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Speaker 1: And then they call you every time and look at you.

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Speaker 1: Now you're rocking at least five Mitchell and Nest throwbacks

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Speaker 1: that you can buy a month with your drug income.

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Speaker 1: I mean, guys, it's simple. What is a two thousand

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Speaker 1: two all over in here? It's easier than ever now

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Speaker 1: to sell drugs to children. Kids. I always talk about

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Speaker 1: how easy like kids have it now, like with dispensaries

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Speaker 1: and things like that. Like it was really a skill

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Speaker 1: to go buy drugs, like problem to like navigate some

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Speaker 1: like you have to have social skills now nerds can

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Speaker 1: smoke pot two. Yeah, yeah, or even if you didn't, man, like,

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Speaker 1: because I remember, you know, back when I was, you know,

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Speaker 1: a street entrepreneur, you would interact with people who were

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Speaker 1: like they were they were probably take an anxiety medication

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Speaker 1: to meet you in a CBS parking lot, but they

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Speaker 1: were like, but I gotta get I gotta get these trees, man,

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Speaker 1: I gotta get. But yeah, the kids, man, they don't know,

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Speaker 1: they don't know that struggle now. They just know about

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Speaker 1: not going to school face to face with people. I'll

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Speaker 1: be honest with you, dude, I didn't I didn't have

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Speaker 1: very much of a struggle because I grew up in

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Speaker 1: northern California, so you know, it just grows out of

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Speaker 1: the sidewalk there basically. Yeah. No, I just went more like, yeah,

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Speaker 1: like when you had to go like meet somebody, like

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Speaker 1: if your connect was dry, you know, you had to

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Speaker 1: go somebody else, you know, like that whole thing. Real

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Speaker 1: problem solving, real problem problems here in the valley of

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Speaker 1: the pavement, though, guys, don't you pick up just do it,

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Speaker 1: make sure there's make sure there's a good amount of

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Speaker 1: round up on it. Anything that you would suggest to

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Speaker 1: the burgeoning weed grower out there, not that we can

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Speaker 1: recommend it, but if they did, Chicken ship man, that honey, Uh,

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Speaker 1: that's good. I got some pumpkins going too. I got

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Speaker 1: a couple of pumpkins this year. You got a pumpkin run.

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Speaker 1: I got two pumpkins grown. How long does it take

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Speaker 1: for a pumpkin to grow? About four months? Okay, my yeah,

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00:20:10,359 --> 00:20:14,240
Speaker 1: my mind from from like it is. Yeah, it's pretty long.

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Speaker 1: Um yeah, they're they're growing. I'm really excited because you know,

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Speaker 1: we have a black cat, and so I'm going to

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Speaker 1: take some fucking pictures around Halloween him in the pumpkin

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Speaker 1: pass you guys. I'll send them to you listeners. Listeners

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Speaker 1: deserve this content. You know, we're all in pandemic, we've

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Speaker 1: all lost our jobs, a third of us are about

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Speaker 1: to get evicted. But god damn it, you're gonna see

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Speaker 1: a fucking black cat in a pumpkin patch if I

357
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Speaker 1: have anything to say about it, and it's going to

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Speaker 1: be real, and it's not some clip art bullshit. My

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Speaker 1: fucking cat, that's my black cat. Goddamn it. Right, that

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Speaker 1: pumpkin has leaves on it. But that's actually something I

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Speaker 1: haven't thought about a lot since weed was legalized. Is

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Speaker 1: like the very first thing I heard about like a

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Speaker 1: legalize it argument was from my ninth grade social studies

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Speaker 1: teacher who was like, the only reason that alcohol is

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Speaker 1: legal and weed isn't is because it's hard to make

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Speaker 1: good alcohol at your house, so they can tax that.

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Speaker 1: But if they legalize weed, people could just like grow it.

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Speaker 1: You can grow that in your bathtub. You can grow

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Speaker 1: it anywhere you want in a closet and just get

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Speaker 1: a nice little glow light and you're good. I like

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Speaker 1: somebody the idea of somebody who blew out their bathroom

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Speaker 1: as a grow room and then just use the bathtub, Like, yeah, man,

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Speaker 1: this is the planter right there. Yeah. He was pretty

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Speaker 1: I don't shower anymore, dude. Yeah. Yeah, So I mean

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Speaker 1: that is something that should you shouldn't need. You shouldn't

376
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Speaker 1: need a dispensary. My history teacher, also ap US history teacher,

377
00:21:44,160 --> 00:21:47,879
Speaker 1: he was like all about weed legalization. He's like, you know,

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Speaker 1: I wouldn't do it, but if it was legal, I'd

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00:21:49,760 --> 00:21:53,720
Speaker 1: I'd be smoking immediately. I think I would. And we're

380
00:21:53,720 --> 00:21:55,920
Speaker 1: always like, well, when is legal, we're gonna come and

381
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Speaker 1: smoke y oud. He's like, I would, I would. I'll

382
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Speaker 1: enjoy that. I always that that's good history teachers. You're

383
00:22:02,119 --> 00:22:05,440
Speaker 1: smoking weed now for like I've seen I've seen your

384
00:22:05,480 --> 00:22:08,200
Speaker 1: like dusty geo storm that you drive in like it's

385
00:22:08,240 --> 00:22:12,199
Speaker 1: a stoner car, like you're not. You open the doors

386
00:22:12,200 --> 00:22:17,159
Speaker 1: and clouds of smoke just come out. Oh yeah, He's like,

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Speaker 1: I don't know he knows dancing Teddy Bear stickers are

388
00:22:19,520 --> 00:22:24,560
Speaker 1: in my windshield. That's just got from the guy. I

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00:22:24,640 --> 00:22:28,440
Speaker 1: just like the number four. I don't know. That's skull

390
00:22:28,520 --> 00:22:30,280
Speaker 1: with the lightning bolt in the middle. I was just like, oh,

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00:22:30,320 --> 00:22:32,520
Speaker 1: that's cool. I like, I like sort of you know

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Speaker 1: weather phenomenon. I think it's pretty rock and roll if

393
00:22:36,600 --> 00:22:38,840
Speaker 1: I knew what that was. All right, let's take a

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00:22:38,960 --> 00:22:41,040
Speaker 1: quick break and we'll be right back to talk about

395
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Speaker 1: Louis Golmeer. And we're back. Uh and I've I've gotten

396
00:22:55,440 --> 00:23:01,680
Speaker 1: a pronunciation lesson and it's uh so guy Louie Gombert,

397
00:23:03,920 --> 00:23:10,239
Speaker 1: he has been the anti mask uh masked crusader. Uh.

398
00:23:10,920 --> 00:23:14,440
Speaker 1: He's just all about telling people that don't need them,

399
00:23:14,760 --> 00:23:18,399
Speaker 1: don't need them. There there there was. Do we have

400
00:23:18,480 --> 00:23:22,159
Speaker 1: that clip of him telling the media that they're the

401
00:23:22,240 --> 00:23:24,680
Speaker 1: only reason he would need to wear a mask. Yeah,

402
00:23:24,760 --> 00:23:26,480
Speaker 1: so there was I mean, just to give you a

403
00:23:26,520 --> 00:23:28,919
Speaker 1: sort of like on on talking points memo. They were

404
00:23:28,960 --> 00:23:31,680
Speaker 1: kind of like breaking down the road to this point

405
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Speaker 1: where he now has coronavirus. I mean, that's the other

406
00:23:34,560 --> 00:23:38,199
Speaker 1: reason we're talking about. March nine, he was giving capital like,

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Speaker 1: he was giving tours of the capital with no mask.

408
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Speaker 1: After people saying like you have, like it's possible you

409
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Speaker 1: may have been exposed to the COVID nineteen. He's like,

410
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Speaker 1: fuck it, I'm gonna do tours in the capital building

411
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Speaker 1: with groups of people literally. Yeah. April seven, Gomert claims

412
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Speaker 1: non existent mists can kill virus. For two weeks. People

413
00:23:57,480 --> 00:23:59,080
Speaker 1: like what are you talking about? And he's like it's

414
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Speaker 1: being used in juror and you're like, what are you

415
00:24:00,560 --> 00:24:08,720
Speaker 1: talking about there? Like this is absolute garbage, nonsense, totally totally, yeah, yeah, exactly.

416
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Speaker 1: Accused the World Health Organization of cover ups. You know,

417
00:24:11,280 --> 00:24:14,320
Speaker 1: that's standard. Fair for the right pushes to reopen because

418
00:24:14,359 --> 00:24:17,000
Speaker 1: we're social animals. Like, we're animals, man, we just gotta

419
00:24:17,040 --> 00:24:18,880
Speaker 1: get out there and steiff each other. But and then

420
00:24:18,880 --> 00:24:22,720
Speaker 1: there was a meeting like where the president had all um,

421
00:24:22,760 --> 00:24:25,600
Speaker 1: a ton of politicians like in his cabinet and media

422
00:24:25,680 --> 00:24:27,960
Speaker 1: like in the room, and everyone's like, uh, this isn't

423
00:24:27,960 --> 00:24:30,040
Speaker 1: really socially distanced. We've seen some of the things what's

424
00:24:30,080 --> 00:24:32,679
Speaker 1: going on. And Louie Gomert had to like keepe for

425
00:24:32,720 --> 00:24:35,480
Speaker 1: the president and he's like, thank you so much for

426
00:24:35,520 --> 00:24:37,359
Speaker 1: giving us test. This is him just sort of speaking

427
00:24:37,400 --> 00:24:40,120
Speaker 1: on that that you saw to it that we had

428
00:24:40,240 --> 00:24:44,240
Speaker 1: tests and that nobody in here has the coronavirus unless

429
00:24:44,240 --> 00:24:46,840
Speaker 1: it's somebody in the media. So the only reason we

430
00:24:46,880 --> 00:24:49,440
Speaker 1: would wear masks is if we were trying to protect

431
00:24:49,440 --> 00:24:52,760
Speaker 1: ourselves from you in the media, and we're not scared

432
00:24:52,840 --> 00:24:58,160
Speaker 1: of you. So so yeah, try that one on, asshole. Yeah.

433
00:24:58,200 --> 00:25:02,320
Speaker 1: So obviously he can't conceive of anybody wearing masks to

434
00:25:02,440 --> 00:25:07,840
Speaker 1: protect other people. Uh. First of all, that's well, here's

435
00:25:07,880 --> 00:25:12,280
Speaker 1: the problem is this guy is wilfully denying the existence

436
00:25:12,480 --> 00:25:16,560
Speaker 1: of the whole reason to wear masks, which is asymptomatic transmission.

437
00:25:17,640 --> 00:25:22,040
Speaker 1: And we don't have accurate tests yet, and again that's

438
00:25:22,119 --> 00:25:24,800
Speaker 1: that's the whole point. He's like, nobody in here has coronavirus,

439
00:25:24,880 --> 00:25:27,359
Speaker 1: so why would we wear masks? And like, again, the

440
00:25:27,359 --> 00:25:30,879
Speaker 1: whole point is one of you probably has coronavirus. Chances

441
00:25:30,920 --> 00:25:33,840
Speaker 1: are very high, based especially on like how ignorant they are,

442
00:25:33,840 --> 00:25:37,040
Speaker 1: and willfully ignorant they are of science. And you can

443
00:25:37,080 --> 00:25:41,440
Speaker 1: get a coronavirus test and test negative and actually still

444
00:25:41,480 --> 00:25:44,600
Speaker 1: have coronavirus. But it's a test, that's the thing. And

445
00:25:44,640 --> 00:25:46,399
Speaker 1: I had it, thank you, President Trump. And that's why

446
00:25:46,440 --> 00:25:47,880
Speaker 1: I know. I'm not afraid of the media. That's why

447
00:25:47,880 --> 00:25:50,439
Speaker 1: I will cough on everybody in this room. And so

448
00:25:51,680 --> 00:25:54,240
Speaker 1: he was about to go on a nice little plane

449
00:25:54,359 --> 00:25:57,520
Speaker 1: ride to Texas with old l Presidente on Air Force

450
00:25:57,600 --> 00:26:00,440
Speaker 1: one and before they're like, hey, sorry, but you can't come.

451
00:26:00,520 --> 00:26:04,240
Speaker 1: He's like, why because you got COVID bro um And

452
00:26:04,600 --> 00:26:06,800
Speaker 1: now I don't know, I don't know what he said

453
00:26:06,800 --> 00:26:10,280
Speaker 1: in the aftermath. So his explanation is that the mask

454
00:26:10,400 --> 00:26:14,240
Speaker 1: wearing he's been wearing so many masks these past couple

455
00:26:14,280 --> 00:26:17,760
Speaker 1: of weeks, that that's what gave him COVID because when

456
00:26:17,800 --> 00:26:21,440
Speaker 1: he's wearing the mask, uh, he touches his face so

457
00:26:21,560 --> 00:26:26,720
Speaker 1: much that he thinks that some of the coronavirus got,

458
00:26:26,800 --> 00:26:29,359
Speaker 1: some germs got in the mask. I think was his

459
00:26:30,320 --> 00:26:32,720
Speaker 1: I can't help but wonder if that puts some germs

460
00:26:32,720 --> 00:26:36,360
Speaker 1: in the mask. It was his explanation. So what he's

461
00:26:36,400 --> 00:26:38,359
Speaker 1: telling us is he doesn't know how to wear a

462
00:26:38,400 --> 00:26:42,520
Speaker 1: mask correctly. That's why he got coronavirus. Right, Okay, yes, no,

463
00:26:42,680 --> 00:26:44,560
Speaker 1: this is this. This is an ice that it's a

464
00:26:44,600 --> 00:26:48,000
Speaker 1: great example of like proper, proper mask wearing because you

465
00:26:48,000 --> 00:26:49,320
Speaker 1: know a lot of people are doing this, and I

466
00:26:49,359 --> 00:26:51,480
Speaker 1: bet they're getting terms inside their masks and you know

467
00:26:51,520 --> 00:26:54,560
Speaker 1: what else I'm getting inside of my mask? Terrible coffee breath? Yes,

468
00:26:55,760 --> 00:26:58,159
Speaker 1: uh not you in particular, just all of us are.

469
00:26:59,400 --> 00:27:01,719
Speaker 1: I had some anko and cold brew and I had

470
00:27:01,760 --> 00:27:04,359
Speaker 1: to put a mask on, almost almost passed out in

471
00:27:04,400 --> 00:27:06,320
Speaker 1: the store. People like, what happened to this man? Did

472
00:27:06,359 --> 00:27:08,879
Speaker 1: something happen to him? Like it's my own breath. They

473
00:27:08,880 --> 00:27:13,479
Speaker 1: were like, oh, he has covid, zanku, zan coo and

474
00:27:13,480 --> 00:27:15,720
Speaker 1: cold brew. They're like, get him out, get him out,

475
00:27:16,320 --> 00:27:21,280
Speaker 1: call an ambulance. Nancy Pelosi said she's feel sorry for

476
00:27:21,359 --> 00:27:24,480
Speaker 1: go Mart, but it is also also feel sorry for

477
00:27:24,600 --> 00:27:27,280
Speaker 1: House members who are concerned because he had been showing

478
00:27:27,359 --> 00:27:29,640
Speaker 1: up at meetings without a mask and making a thing

479
00:27:29,720 --> 00:27:32,880
Speaker 1: of it. I feel sorry for Nancy Pelosi because she's

480
00:27:32,880 --> 00:27:36,000
Speaker 1: about to get primary by shutar. Yeah, I think we

481
00:27:36,040 --> 00:27:39,240
Speaker 1: should all be not Anana. Hey hey, yeah, she's had

482
00:27:39,240 --> 00:27:41,920
Speaker 1: her time. She's had her time. Uh. The interesting thing

483
00:27:41,920 --> 00:27:44,040
Speaker 1: about even like the logic they apply where it's like

484
00:27:44,720 --> 00:27:48,600
Speaker 1: science doesn't matter until like you're trying to actually explain

485
00:27:48,680 --> 00:27:52,320
Speaker 1: in some pseudo scientific way how you got coronavirus, because

486
00:27:52,320 --> 00:27:54,119
Speaker 1: before you didn't give a funk, but now you're like,

487
00:27:54,440 --> 00:27:56,879
Speaker 1: but the only logic you have is to act like

488
00:27:57,000 --> 00:27:59,639
Speaker 1: compare COVID to like barbecue sauce, and you're like, I

489
00:27:59,680 --> 00:28:01,920
Speaker 1: don't know, Oh, maybe I got the corona up under

490
00:28:01,960 --> 00:28:05,000
Speaker 1: my fingernails from not cleaning up and then I got it.

491
00:28:05,000 --> 00:28:09,600
Speaker 1: It's like, come on, dude, That's why I'm curious if

492
00:28:09,680 --> 00:28:12,160
Speaker 1: that's how many people are just sort of like fuck,

493
00:28:12,240 --> 00:28:14,040
Speaker 1: it's kind of a risky thing, but I got to

494
00:28:14,040 --> 00:28:16,840
Speaker 1: play this part of guy who like rejects science because

495
00:28:16,840 --> 00:28:18,960
Speaker 1: I'm such a hollow politician, like I just know my

496
00:28:19,040 --> 00:28:22,000
Speaker 1: marching orders are, and they're willing to go into it

497
00:28:22,040 --> 00:28:24,679
Speaker 1: and then be like fuck. I mean this is literally

498
00:28:24,720 --> 00:28:28,400
Speaker 1: like what happens with um politicians who say they don't

499
00:28:28,440 --> 00:28:31,920
Speaker 1: believe in climate change, they're just of course they believe

500
00:28:31,960 --> 00:28:34,440
Speaker 1: in climate change because they can see it, but they're

501
00:28:34,480 --> 00:28:36,960
Speaker 1: paid to say it's not real or you know, more

502
00:28:37,000 --> 00:28:39,800
Speaker 1: often that it's natural. And that's what this split is

503
00:28:39,880 --> 00:28:44,440
Speaker 1: with COVID, Like how many fully people who are like, actually,

504
00:28:44,480 --> 00:28:47,840
Speaker 1: I actually believe the things I'm saying, rather than like

505
00:28:47,960 --> 00:28:50,760
Speaker 1: I'm running with the sort of rhetorical football tip end

506
00:28:51,040 --> 00:28:53,479
Speaker 1: or I'm saying this because I'm worried about, you know,

507
00:28:53,520 --> 00:28:56,280
Speaker 1: the erosion of my personal liberties or whatever. I mean,

508
00:28:56,280 --> 00:28:59,320
Speaker 1: they're all saying that. But um, the cool thing about

509
00:28:59,680 --> 00:29:04,000
Speaker 1: in She's disease is it has no concept of the Constitution, right, Yeah,

510
00:29:04,040 --> 00:29:07,560
Speaker 1: it knows no boundaries. Uh, but I mean they they

511
00:29:07,600 --> 00:29:11,000
Speaker 1: do have some scientists on their side. There are the

512
00:29:11,080 --> 00:29:16,360
Speaker 1: America's frontline doctors, uh group that spoke in front of

513
00:29:16,400 --> 00:29:18,560
Speaker 1: the Supreme Court. I think it was over the weekend.

514
00:29:19,200 --> 00:29:22,400
Speaker 1: And yeah, if you were wondering why phrase like alien

515
00:29:22,520 --> 00:29:27,360
Speaker 1: sex and demon sperm were trending, Uh, it's because the

516
00:29:27,440 --> 00:29:31,680
Speaker 1: doctors who back up go mart and Trump's perspective on

517
00:29:31,760 --> 00:29:36,800
Speaker 1: the coronavirus have have expounded on that as well. Um,

518
00:29:36,840 --> 00:29:42,920
Speaker 1: there's a doctor from Texas who they they just you know,

519
00:29:42,960 --> 00:29:46,760
Speaker 1: she went out in front of the Supreme Court was like, hey, like,

520
00:29:46,880 --> 00:29:49,479
Speaker 1: we have the cure. They're just lying to you. The

521
00:29:49,520 --> 00:29:54,920
Speaker 1: cure's hydroxy chloroquine, and uh, all good masks. You don't

522
00:29:55,000 --> 00:29:59,280
Speaker 1: have to wear masks. Masks are useless. Just take hydroxy chloroquine. Uh.

523
00:29:59,320 --> 00:30:01,960
Speaker 1: They were like a doctor said that, We're good. They

524
00:30:02,000 --> 00:30:06,200
Speaker 1: did not bother, Like the president retweeted it, his son

525
00:30:06,320 --> 00:30:09,160
Speaker 1: retweeted it. They did not bother to look at some

526
00:30:09,240 --> 00:30:13,240
Speaker 1: of the other things that doctor had spoken about, such as, uh,

527
00:30:14,520 --> 00:30:16,360
Speaker 1: it's my always my favorite game to play when you

528
00:30:16,400 --> 00:30:18,880
Speaker 1: have some expert who's like coming out for something that's

529
00:30:18,880 --> 00:30:22,520
Speaker 1: totally completely incorrect, and you're like and their past comments

530
00:30:22,520 --> 00:30:26,160
Speaker 1: and like, okay, it's either racist, anti semitic, or xenophobic

531
00:30:26,240 --> 00:30:30,880
Speaker 1: or islamophobic. Yeah, it's kind of Or is it like

532
00:30:30,920 --> 00:30:33,360
Speaker 1: a or is she like a goop doctor? Yeah, I

533
00:30:33,360 --> 00:30:42,200
Speaker 1: mean it's Dr Stella. Emmanuel has claimed that kynecological problems

534
00:30:42,360 --> 00:30:46,320
Speaker 1: are caused. Oh and also even male impotence are the

535
00:30:46,320 --> 00:30:49,120
Speaker 1: result of people having sex in their dreams with demons

536
00:30:49,120 --> 00:30:54,960
Speaker 1: and witches. Uh and spiritual husbands and spirit wives. That's tight,

537
00:30:55,120 --> 00:30:57,760
Speaker 1: that's cool. Yeah. Oh wait so then okay, but what

538
00:30:57,600 --> 00:30:59,520
Speaker 1: what was some of like sort of the false information

539
00:30:59,600 --> 00:31:04,440
Speaker 1: she was She also she also claims that we're putting

540
00:31:05,240 --> 00:31:10,160
Speaker 1: alien sperm in medicine to like try and affect people's DNA.

541
00:31:10,280 --> 00:31:14,040
Speaker 1: Alien DNA is being used in certain medical treatments, which

542
00:31:14,040 --> 00:31:16,720
Speaker 1: ones I'd like to get on them? I know, seriously, Yeah,

543
00:31:16,880 --> 00:31:20,440
Speaker 1: that sounds wonderful, isn't that? Isn't that Grimes? Isn't that

544
00:31:20,480 --> 00:31:23,160
Speaker 1: what Grimes is doing? Right? Yeah? I mean we're just

545
00:31:23,200 --> 00:31:27,880
Speaker 1: talking about Grimes, right. The next the next pandemic is

546
00:31:27,920 --> 00:31:32,520
Speaker 1: people becoming becoming Grimes Grimes clones everywhere. Everyone's gonna get

547
00:31:32,520 --> 00:31:34,840
Speaker 1: everyone's gonna get like all shiny. You know, everyone's gonna

548
00:31:34,840 --> 00:31:37,520
Speaker 1: start putting their hair up and like weird alien braids

549
00:31:37,520 --> 00:31:41,440
Speaker 1: and stuff, and uh, you know Grimes Grimes type sheaths

550
00:31:41,560 --> 00:31:48,080
Speaker 1: to put your hair in, and you know, I've robot hands. Man.

551
00:31:48,240 --> 00:31:51,360
Speaker 1: I remember that first album I was working with it.

552
00:31:51,400 --> 00:31:53,520
Speaker 1: I was like, Okay, this is dope, and then I

553
00:31:53,560 --> 00:31:56,200
Speaker 1: was like, what happened? Yeah, I don't know. The billboard

554
00:31:56,240 --> 00:31:59,960
Speaker 1: says global warming is good and I'm like, oh so cheeky,

555
00:32:00,800 --> 00:32:06,760
Speaker 1: All right, match throw in the ocean. Um This doctor

556
00:32:06,840 --> 00:32:10,240
Speaker 1: also said that um so social media cracked down on

557
00:32:10,280 --> 00:32:13,200
Speaker 1: the video obviously like Breitbart shared it, Trump shared it,

558
00:32:13,280 --> 00:32:16,960
Speaker 1: so it was viewed eight million times before Facebook took

559
00:32:16,960 --> 00:32:20,800
Speaker 1: it down. Uh. And she said that if they didn't

560
00:32:20,800 --> 00:32:25,280
Speaker 1: put it back, Jesus Christ would destroy Facebook servers. Uh

561
00:32:25,320 --> 00:32:30,560
Speaker 1: and that also Christ lives. Yeah, exactly, so that didn't

562
00:32:31,160 --> 00:32:34,600
Speaker 1: that didn't happen. So and then and then the the

563
00:32:34,640 --> 00:32:40,360
Speaker 1: other doctors from the from the America's Frontline Doctors group

564
00:32:40,680 --> 00:32:45,920
Speaker 1: are of dubious that their credentials are dubious. We're still

565
00:32:45,920 --> 00:32:51,200
Speaker 1: looking into them, but um man, yeah, yeah, I mean

566
00:32:51,200 --> 00:32:53,400
Speaker 1: blessed them. This is where they're at. I mean, for

567
00:32:53,480 --> 00:32:58,560
Speaker 1: her board, Dr Stella, I mean, normally white woman could

568
00:32:58,560 --> 00:33:00,680
Speaker 1: just call the police to try and like make their

569
00:33:00,720 --> 00:33:02,960
Speaker 1: threats real. And now since that doesn't work anymore, she

570
00:33:03,000 --> 00:33:06,680
Speaker 1: has to summon the wrath of Jesus Christ himself. Uh,

571
00:33:06,720 --> 00:33:09,600
Speaker 1: and look what happened. I'm from what I'm seeing are

572
00:33:09,640 --> 00:33:13,440
Speaker 1: the Facebook. The Facebook servers are intact so as of

573
00:33:13,560 --> 00:33:16,880
Speaker 1: right now, but we don't know what the timeline is

574
00:33:17,000 --> 00:33:19,360
Speaker 1: on the threat right right because God does work in

575
00:33:19,400 --> 00:33:21,600
Speaker 1: mysterious ways. So I'm gonna need picks of all the

576
00:33:21,640 --> 00:33:25,720
Speaker 1: Facebook servers and also their exact GPS coordinates. It's for

577
00:33:25,880 --> 00:33:29,360
Speaker 1: something else, Yeah, right, exactly, just latitude a little and

578
00:33:29,400 --> 00:33:33,040
Speaker 1: longitudinal information. I don't need the address, just like coordinates

579
00:33:33,040 --> 00:33:34,960
Speaker 1: that you could like feed into like a drone or something.

580
00:33:35,000 --> 00:33:39,080
Speaker 1: But it's not for that. As we speak, though, the

581
00:33:39,120 --> 00:33:42,560
Speaker 1: old Fuckerberg is getting grilled on the Hill, so I'm

582
00:33:42,560 --> 00:33:44,600
Speaker 1: sure we'll be able to talk about that in tomorrow's episode.

583
00:33:44,640 --> 00:33:50,000
Speaker 1: I'm curious to know what that whole Bezo Suckerberg cookbook, cookbook,

584
00:33:50,520 --> 00:34:02,080
Speaker 1: tim cook cookbook whatever? The alright cookbook cook book? Has

585
00:34:02,080 --> 00:34:06,720
Speaker 1: anybody ever called Gomert Gomer pile of shit? Because that

586
00:34:06,800 --> 00:34:12,480
Speaker 1: was also good? Um? Yeah, on that subject, I do

587
00:34:12,640 --> 00:34:16,399
Speaker 1: feel like, yeah, the tech exacts are getting grilled, and

588
00:34:17,200 --> 00:34:21,360
Speaker 1: that's great. They're talking about breaking it up. But yeah,

589
00:34:20,680 --> 00:34:24,520
Speaker 1: I don't know. I think it's worth keeping in mind. Like, uh,

590
00:34:24,560 --> 00:34:28,520
Speaker 1: I think Bloomberg post an article talking about how bad

591
00:34:28,600 --> 00:34:31,160
Speaker 1: it would be for every single one of those companies

592
00:34:31,680 --> 00:34:39,040
Speaker 1: if Trump loses the yeah election, Um, and like you

593
00:34:39,160 --> 00:34:43,040
Speaker 1: know for a fact that that is what like they

594
00:34:43,080 --> 00:34:45,799
Speaker 1: all want Trump to win. That's it's important to keep

595
00:34:45,800 --> 00:34:49,400
Speaker 1: in mind because and that's why he will, right, That's

596
00:34:49,400 --> 00:34:53,359
Speaker 1: why Facebook is you know, so so dangerous and will

597
00:34:53,360 --> 00:34:57,600
Speaker 1: continue to be so dangerous um as well as Instagram, Twitter.

598
00:34:57,719 --> 00:35:00,880
Speaker 1: I'm sure it's like the oil and GA industry, like

599
00:35:00,920 --> 00:35:03,239
Speaker 1: what that was years ago, where it's like, you got

600
00:35:03,360 --> 00:35:05,680
Speaker 1: you can't just let these people run them up and

601
00:35:05,719 --> 00:35:08,640
Speaker 1: make all this fucking money, Like there's problems with this

602
00:35:08,719 --> 00:35:11,239
Speaker 1: industry and they're not even being honest. They know how

603
00:35:11,280 --> 00:35:13,680
Speaker 1: bad their ship is and they're not even telling everybody

604
00:35:13,800 --> 00:35:16,400
Speaker 1: because they're making so much money and y'all are just

605
00:35:16,440 --> 00:35:18,200
Speaker 1: gonna let them do that. The same thing with the

606
00:35:18,280 --> 00:35:21,040
Speaker 1: social media and like these tech companies where a lot

607
00:35:21,320 --> 00:35:24,160
Speaker 1: so much money is being made and it's like, yeah, dude,

608
00:35:24,200 --> 00:35:25,920
Speaker 1: we know what the bad parts are, but like have

609
00:35:26,120 --> 00:35:29,080
Speaker 1: you seen these balance sheets? Like that's what the fucking

610
00:35:29,160 --> 00:35:32,120
Speaker 1: end of the day it's all about. And I'm yeah,

611
00:35:32,200 --> 00:35:35,719
Speaker 1: like we're already seeing the sort of spillover of a

612
00:35:35,760 --> 00:35:40,400
Speaker 1: completely unregulated, you know, tech sector and the problems that's bringing,

613
00:35:40,480 --> 00:35:42,759
Speaker 1: especially like to your point Jack about Facebook, they're just

614
00:35:42,800 --> 00:35:44,839
Speaker 1: like shrugging and they're like, I mean, what is news really?

615
00:35:44,840 --> 00:35:48,440
Speaker 1: What's the nature of like information? Honestly? Like because a

616
00:35:48,520 --> 00:35:52,120
Speaker 1: lie could be real to someone, so therefore is racism

617
00:35:52,120 --> 00:35:54,239
Speaker 1: actually bad? I don't know. I'm Mark Zuckerberg that's been

618
00:35:54,239 --> 00:35:57,240
Speaker 1: my time. I have to leave in my transporter now, right.

619
00:35:58,080 --> 00:35:59,839
Speaker 1: But it's not just um. One thing that I think

620
00:35:59,880 --> 00:36:02,719
Speaker 1: is really interesting is that backlash is not coming just

621
00:36:02,760 --> 00:36:04,719
Speaker 1: from outside, like from the government, but also from within

622
00:36:04,760 --> 00:36:06,720
Speaker 1: the companies. Like there was a walk out at Google

623
00:36:06,760 --> 00:36:09,800
Speaker 1: that was organized by a long time like a Google

624
00:36:09,840 --> 00:36:12,640
Speaker 1: life for almost and this kind of stuff has been happening,

625
00:36:12,680 --> 00:36:14,680
Speaker 1: and I think the only reason any of the disinformation

626
00:36:14,719 --> 00:36:19,840
Speaker 1: stuff really got addressed at Facebook is because employees demanded it. UM.

627
00:36:19,840 --> 00:36:22,000
Speaker 1: So it's it's cool to see that you can't be

628
00:36:22,080 --> 00:36:24,000
Speaker 1: a company that big and be like, we're not evil

629
00:36:24,080 --> 00:36:26,520
Speaker 1: and be so evil and not have your employees, who

630
00:36:26,600 --> 00:36:28,960
Speaker 1: are like mostly very smart people that you hired because

631
00:36:28,960 --> 00:36:33,640
Speaker 1: they're fucking geniuses, be like this seems stupid, you know, right, Yeah,

632
00:36:34,080 --> 00:36:36,759
Speaker 1: can't full all the people all the time. What was

633
00:36:36,800 --> 00:36:40,919
Speaker 1: it Google or Amazon that had the Pentagon project that

634
00:36:41,280 --> 00:36:45,319
Speaker 1: their employees, Uh, well, they've all had versions, I know,

635
00:36:45,400 --> 00:36:51,040
Speaker 1: like a bidding on like I think Amazon cloud computing

636
00:36:51,080 --> 00:36:55,600
Speaker 1: contract because Trump hated the Washington Post was the one

637
00:36:55,680 --> 00:36:57,080
Speaker 1: having to do that. And I think it was something

638
00:36:57,120 --> 00:36:59,839
Speaker 1: with Microsoft one of the other tech companies was working

639
00:36:59,840 --> 00:37:01,640
Speaker 1: with like Ice or d I don't know. One of

640
00:37:01,680 --> 00:37:04,560
Speaker 1: those it was Amazon working with Ice, and like one

641
00:37:04,560 --> 00:37:06,480
Speaker 1: thing about Amazon is that most of their money now

642
00:37:06,520 --> 00:37:10,840
Speaker 1: comes from UM their cloud computing service. Uh, and they

643
00:37:11,160 --> 00:37:14,520
Speaker 1: host they host servers for like Netflix, which is like

644
00:37:15,640 --> 00:37:19,680
Speaker 1: almost all of the fucking information going through the Internet

645
00:37:19,960 --> 00:37:22,879
Speaker 1: right now. It's like streaming video on Netflix, a huge, huge,

646
00:37:23,000 --> 00:37:27,000
Speaker 1: huge amounts of information. What streaming means is not just convenience,

647
00:37:27,320 --> 00:37:31,560
Speaker 1: but like a huge technology infrastructure that we don't have

648
00:37:31,600 --> 00:37:33,840
Speaker 1: that is being built. And that's what five G is about.

649
00:37:33,960 --> 00:37:36,840
Speaker 1: And that's what uh, you know, there's no more fucking

650
00:37:36,840 --> 00:37:39,680
Speaker 1: net neutrality and that's what that's about. This is all

651
00:37:39,719 --> 00:37:44,719
Speaker 1: by design, yeah, including the fact that five coronavirus right,

652
00:37:45,960 --> 00:37:53,880
Speaker 1: what coronavirus? Yeah, yeah, yeah, it's actually five five gomer.

653
00:37:54,680 --> 00:37:57,400
Speaker 1: I don't know if you've seen those commercials like Milana

654
00:37:57,480 --> 00:37:59,480
Speaker 1: vine Trube as a T and T person in there,

655
00:37:59,480 --> 00:38:01,759
Speaker 1: like talking on the laptop with someone who's like I'm

656
00:38:01,800 --> 00:38:04,319
Speaker 1: here to answer questions and someone's like should I be

657
00:38:04,360 --> 00:38:06,799
Speaker 1: excited about five G? In my mind, I'm always like

658
00:38:06,880 --> 00:38:08,960
Speaker 1: turning it into a sketch where it goes like it

659
00:38:09,120 --> 00:38:12,239
Speaker 1: off the rails conspiracy theory video and without fail. Every

660
00:38:12,239 --> 00:38:15,279
Speaker 1: time I hear it, I'm like do something, and I'm

661
00:38:15,280 --> 00:38:18,920
Speaker 1: like what, I'm so bored. I have nothing going on. Yeah,

662
00:38:19,280 --> 00:38:23,680
Speaker 1: and before we go to break. Uh so it looks

663
00:38:23,680 --> 00:38:26,359
Speaker 1: like Trump may have given up on Michigan where We're

664
00:38:26,360 --> 00:38:29,160
Speaker 1: not going to spend a whole lot of time on this. Yeah,

665
00:38:29,160 --> 00:38:33,040
Speaker 1: it's definitely like for now, Michigan is like, at least

666
00:38:33,040 --> 00:38:36,880
Speaker 1: from an ad buying, like ad buying perspective that like

667
00:38:36,960 --> 00:38:39,960
Speaker 1: the ad dollars and the ad spend has basically come

668
00:38:40,000 --> 00:38:44,320
Speaker 1: to a halt. They haven't. Yeah, well, I mean I

669
00:38:44,360 --> 00:38:46,960
Speaker 1: think it's one of those things, right because on one level,

670
00:38:47,000 --> 00:38:49,600
Speaker 1: like Joe Biden's like outspending him, I think like three

671
00:38:49,600 --> 00:38:52,359
Speaker 1: to one there and his lead is just building. So

672
00:38:52,480 --> 00:38:54,200
Speaker 1: it could just be sort of like, all right, look,

673
00:38:54,320 --> 00:38:56,200
Speaker 1: why throw all this money away where it could be

674
00:38:56,200 --> 00:38:59,840
Speaker 1: a lost cause because realistically Trump has more paths to

675
00:39:00,080 --> 00:39:03,439
Speaker 1: two seventy electoral college votes he needs than uh Joe

676
00:39:03,440 --> 00:39:07,080
Speaker 1: Biden does. So because of that, it's like, yeah, look,

677
00:39:07,120 --> 00:39:09,640
Speaker 1: you're not spending in Michigan. Although that was a that

678
00:39:09,719 --> 00:39:12,040
Speaker 1: was like one of the state states that was was

679
00:39:12,120 --> 00:39:14,080
Speaker 1: like oh ship, okay, so you took that off of

680
00:39:14,360 --> 00:39:17,040
Speaker 1: the Democrats. Um, but now I think when you look

681
00:39:17,040 --> 00:39:20,839
Speaker 1: at just sort of the reduced support from like non

682
00:39:20,920 --> 00:39:25,640
Speaker 1: college educated white voters, that's that's going down. Suburban voters

683
00:39:25,640 --> 00:39:29,480
Speaker 1: are like fleeing and specifically Michigan and now more like

684
00:39:29,920 --> 00:39:34,360
Speaker 1: hopefully very motivated black voters to come out. It's just

685
00:39:34,440 --> 00:39:37,080
Speaker 1: being like maybe not there. So while that's happening, I mean,

686
00:39:37,120 --> 00:39:40,719
Speaker 1: he's definitely also spending in states like Ohio, Georgia and

687
00:39:40,760 --> 00:39:44,719
Speaker 1: like possibly looking to flip Nevada or Minnesota. But you know,

688
00:39:44,960 --> 00:39:46,719
Speaker 1: I think it's just kind of they're doing ay thing

689
00:39:46,719 --> 00:39:49,560
Speaker 1: where it's like, yeah, there's this guy isn't interested in

690
00:39:49,600 --> 00:39:52,200
Speaker 1: like expanding a base, and we don't just throw money away,

691
00:39:52,760 --> 00:39:55,120
Speaker 1: but there's plenty of allies and like you know, they're

692
00:39:55,120 --> 00:39:57,440
Speaker 1: still door knocking things like that. But it's it's interesting

693
00:39:57,440 --> 00:40:00,560
Speaker 1: to sort of watch something that was pretty pretty uh

694
00:40:00,719 --> 00:40:02,880
Speaker 1: good chunk of votes for him, So he'd have to

695
00:40:02,920 --> 00:40:06,680
Speaker 1: do better in a different state if he loses, like

696
00:40:06,680 --> 00:40:08,960
Speaker 1: like look to flip, look to flip some other states.

697
00:40:08,960 --> 00:40:11,400
Speaker 1: So you know, that's like sort of the the chase

698
00:40:11,880 --> 00:40:16,239
Speaker 1: that makes me very nervous when he think I think

699
00:40:16,280 --> 00:40:18,080
Speaker 1: you guys are just looking at one side of the

700
00:40:18,120 --> 00:40:22,319
Speaker 1: coin here, you're looking at what he's spending on attracting voters. Well,

701
00:40:22,360 --> 00:40:27,759
Speaker 1: you're not looking at is the money he's spending suppression. Yeah,

702
00:40:27,920 --> 00:40:30,200
Speaker 1: I bet you for every dollar he's not spending on

703
00:40:30,280 --> 00:40:33,000
Speaker 1: ads in a state like that where it looks you're like, well,

704
00:40:33,000 --> 00:40:35,600
Speaker 1: it looks like he's given up. Something's going on. I

705
00:40:35,640 --> 00:40:38,920
Speaker 1: think it's that voter suppression is being ramped. That's the

706
00:40:38,960 --> 00:40:42,240
Speaker 1: only yeah, any place that that's not happening. But luckily,

707
00:40:42,280 --> 00:40:44,920
Speaker 1: I mean not luckily, he has plenty of people who

708
00:40:45,000 --> 00:40:46,880
Speaker 1: are willing to do that on his behalf because I

709
00:40:46,960 --> 00:40:51,040
Speaker 1: think for you know, the overt corporatocracy class, oligar class,

710
00:40:51,040 --> 00:40:54,080
Speaker 1: they're like, yeah, man, if we kind of got to

711
00:40:54,080 --> 00:40:55,960
Speaker 1: like keep this going for another four years to figure

712
00:40:55,960 --> 00:40:58,040
Speaker 1: out what the real exit strategy is going to be here.

713
00:40:58,719 --> 00:41:02,720
Speaker 1: So yeah, all that to say, it's all swirling around

714
00:41:02,800 --> 00:41:05,960
Speaker 1: and no one can ever be confident on either side

715
00:41:06,000 --> 00:41:08,640
Speaker 1: if people have to at least do the bare minimum

716
00:41:08,680 --> 00:41:12,120
Speaker 1: in this instance and vote and then then deal with

717
00:41:12,160 --> 00:41:14,000
Speaker 1: the rest of it after that, well, you know, mail

718
00:41:14,040 --> 00:41:17,239
Speaker 1: your vote in. Yeah, and then oh but why you know,

719
00:41:17,280 --> 00:41:20,160
Speaker 1: the massive voter fraud. Honestly, you know, it's like they're

720
00:41:20,200 --> 00:41:24,879
Speaker 1: gonna they're definitely gonna dispute any mailed in votes for sure.

721
00:41:24,960 --> 00:41:27,160
Speaker 1: I mean that's gonna be that's gonna be all. It's

722
00:41:27,200 --> 00:41:32,799
Speaker 1: going to be all by the way battle just do

723
00:41:32,920 --> 00:41:36,680
Speaker 1: like a prescient like sort of Halloween costume, be a

724
00:41:36,719 --> 00:41:40,640
Speaker 1: mail in ballot. Now, yeah, next Halloween, it'll be hanging

725
00:41:40,800 --> 00:41:48,000
Speaker 1: Chad's of this next twelve months, honey in a big way. Um,

726
00:41:48,040 --> 00:41:50,680
Speaker 1: all right, let's take a quick break and we'll be

727
00:41:50,800 --> 00:42:06,040
Speaker 1: right back. And we're back, and it's time for another

728
00:42:06,160 --> 00:42:10,640
Speaker 1: segment of a cool thing I heard on this other podcast. Uh,

729
00:42:11,040 --> 00:42:14,799
Speaker 1: I was listening while I was off just studying for

730
00:42:14,920 --> 00:42:20,520
Speaker 1: the Daily Zeitgeist in your podcast Dojo in a dark

731
00:42:20,760 --> 00:42:23,080
Speaker 1: and dark it's just a closet where he listens to

732
00:42:23,120 --> 00:42:26,960
Speaker 1: podcasts exactly. There's no karate going on. Um. But now

733
00:42:27,000 --> 00:42:31,640
Speaker 1: I was listening to Invisible and Uh, they had this

734
00:42:31,760 --> 00:42:36,080
Speaker 1: episode that made me realize how possible it is to

735
00:42:36,160 --> 00:42:40,200
Speaker 1: improve the way that public safety is conducted in America.

736
00:42:40,800 --> 00:42:46,400
Speaker 1: So and just like how realistic police abolition and defunding

737
00:42:46,400 --> 00:42:52,520
Speaker 1: the police goals are. So it's not about the police overtly,

738
00:42:52,560 --> 00:42:57,440
Speaker 1: it's about paramedics. Um. And the fact that before seventy

739
00:42:57,560 --> 00:43:00,920
Speaker 1: when you had someone having a health and emergency and

740
00:43:00,960 --> 00:43:03,680
Speaker 1: you called for help, you didn't know who was going

741
00:43:03,760 --> 00:43:05,839
Speaker 1: to show up. But it wasn't paramedics. It would either

742
00:43:05,880 --> 00:43:10,279
Speaker 1: be uh, the local mortician just because they had a

743
00:43:10,280 --> 00:43:13,480
Speaker 1: hearse which was capable of like transporting a body to

744
00:43:13,560 --> 00:43:16,319
Speaker 1: the hospital or a human to the hospital, or be

745
00:43:16,960 --> 00:43:21,000
Speaker 1: the fire department or what would be the police. So

746
00:43:21,280 --> 00:43:25,400
Speaker 1: starting in nine seventy or right before nine seventy, uh,

747
00:43:25,440 --> 00:43:29,400
Speaker 1: there was a neighborhood in Pittsburgh that was predominantly black

748
00:43:29,440 --> 00:43:33,319
Speaker 1: called the Hills UH that basically got tired of the

749
00:43:33,320 --> 00:43:37,680
Speaker 1: police not showing up when someone was having a heart attack, uh,

750
00:43:37,719 --> 00:43:43,120
Speaker 1: And so they created that it was basically meant initially

751
00:43:43,120 --> 00:43:46,160
Speaker 1: meant to be like a taxi service for people who

752
00:43:46,480 --> 00:43:52,120
Speaker 1: needed to get to the hospital. And right, yeah, exactly.

753
00:43:52,280 --> 00:43:56,160
Speaker 1: But then the Pittsburgh medical community found out about this

754
00:43:56,239 --> 00:43:58,720
Speaker 1: plan that they were running out of this place called

755
00:43:59,239 --> 00:44:05,160
Speaker 1: Freedom House in that neighborhood. And so the Pittsburgh medical

756
00:44:05,200 --> 00:44:07,720
Speaker 1: community like they hooked up with the dude who invented

757
00:44:07,800 --> 00:44:11,680
Speaker 1: CPR and who believed that you know, quick medical attention

758
00:44:11,719 --> 00:44:14,080
Speaker 1: from a lay person was better than waiting until you

759
00:44:14,160 --> 00:44:17,400
Speaker 1: got someone's dead body to the hospital essentially, so he

760
00:44:17,520 --> 00:44:22,200
Speaker 1: trained these what we're meant to be taxi drivers, these

761
00:44:22,280 --> 00:44:25,680
Speaker 1: young black men from the neighborhood that had been abandoned

762
00:44:25,719 --> 00:44:29,120
Speaker 1: to die by the police, to do emergency medicine and

763
00:44:29,280 --> 00:44:33,360
Speaker 1: use some of the tactics from like military medicine to

764
00:44:34,200 --> 00:44:38,520
Speaker 1: like save lives. And it worked so well that like

765
00:44:38,719 --> 00:44:43,560
Speaker 1: starting in like the sixties, you see the percentage of

766
00:44:43,760 --> 00:44:47,960
Speaker 1: deaths by major causes like accidents, was in the sixties,

767
00:44:48,000 --> 00:44:53,040
Speaker 1: mid sixties, high sixties, and after this like caught on

768
00:44:53,320 --> 00:44:56,040
Speaker 1: by the late seventies, it was like in the low forties.

769
00:44:56,520 --> 00:44:59,839
Speaker 1: So it was just like they a whole bunch of

770
00:45:00,040 --> 00:45:03,759
Speaker 1: people were dying needlessly because they were just sending the

771
00:45:03,800 --> 00:45:07,680
Speaker 1: police when somebody was like having a heart attack, Uh yeah,

772
00:45:07,680 --> 00:45:09,480
Speaker 1: and then they show up, and that was what, what

773
00:45:09,680 --> 00:45:13,640
Speaker 1: are you sick? They just didn't give a ship. They

774
00:45:13,640 --> 00:45:16,480
Speaker 1: weren't the right people for it. They didn't care, they

775
00:45:16,480 --> 00:45:21,160
Speaker 1: weren't like UH called to save people's lives. And so

776
00:45:21,320 --> 00:45:23,840
Speaker 1: I mean the point that Roman Mars, the host of

777
00:45:23,840 --> 00:45:28,560
Speaker 1: the podcast UH Calls Out, is just like that is like,

778
00:45:28,840 --> 00:45:30,880
Speaker 1: think about how often police are showing up to a

779
00:45:30,880 --> 00:45:33,919
Speaker 1: mental health crisis or a family fight or a bad

780
00:45:34,000 --> 00:45:37,920
Speaker 1: drug trip or like anything that could be solved by

781
00:45:37,960 --> 00:45:43,400
Speaker 1: almost anyone other than you know, an armed person who

782
00:45:43,840 --> 00:45:47,640
Speaker 1: is statistically more likely to themselves be a domestic abuser

783
00:45:48,120 --> 00:45:53,640
Speaker 1: than any other profession, Like of police officers are in

784
00:45:53,719 --> 00:45:57,759
Speaker 1: households where domestic abuse is a problem, and you know,

785
00:45:57,840 --> 00:46:02,840
Speaker 1: we give them less training then hairstylist. So I guess

786
00:46:02,840 --> 00:46:06,000
Speaker 1: the hope would be that this era of policing version

787
00:46:06,040 --> 00:46:09,680
Speaker 1: of reality that we all exist in right now and

788
00:46:09,680 --> 00:46:13,200
Speaker 1: I you know, have existed and taken for granted, will

789
00:46:13,239 --> 00:46:17,719
Speaker 1: seem antiquated by the time we die of old age

790
00:46:17,840 --> 00:46:22,840
Speaker 1: or whatever. They'll have to tell their right when your

791
00:46:22,880 --> 00:46:26,680
Speaker 1: podcast listeners, I'm doing air quotes, Yeah, you mean no money, right,

792
00:46:27,160 --> 00:46:31,160
Speaker 1: But when like kids won't believe hopefully like that there

793
00:46:31,160 --> 00:46:33,879
Speaker 1: could be a future where kids won't believe that when

794
00:46:33,920 --> 00:46:36,080
Speaker 1: you had a problem, you called nine one one and

795
00:46:36,120 --> 00:46:39,440
Speaker 1: a person with a violent person with a gun showed

796
00:46:39,520 --> 00:46:42,279
Speaker 1: up like that, Uh is something that we just like

797
00:46:42,400 --> 00:46:45,919
Speaker 1: take for granted. And that's that shouldn't be the case

798
00:46:46,040 --> 00:46:49,319
Speaker 1: anymore than like the idea of paramedics should have had

799
00:46:49,360 --> 00:46:52,920
Speaker 1: to have been invented in seventy Like that it just

800
00:46:52,960 --> 00:46:56,120
Speaker 1: seems like one of those obvious things that it just

801
00:46:56,160 --> 00:47:01,040
Speaker 1: took obstrospect, right, obvious in retrospect, and immediately everybody just

802
00:47:01,080 --> 00:47:04,040
Speaker 1: took it for granted. Now it's everywhere yet, or you

803
00:47:04,120 --> 00:47:06,400
Speaker 1: just use the language you're using, right, is how we

804
00:47:06,400 --> 00:47:09,479
Speaker 1: would look at it retrospectively. To your point is like, yeah,

805
00:47:09,600 --> 00:47:14,000
Speaker 1: someone needed like a social worker and a violent guy

806
00:47:14,040 --> 00:47:17,000
Speaker 1: with gun showed up. That's what it is. It's like,

807
00:47:17,080 --> 00:47:21,200
Speaker 1: stop sending violent people to solve issues that don't require

808
00:47:21,280 --> 00:47:24,080
Speaker 1: any what do we what do we need these people for?

809
00:47:24,200 --> 00:47:26,439
Speaker 1: Exactly because they can't even help you if your bike

810
00:47:26,520 --> 00:47:29,160
Speaker 1: is stolen, So where the funk is that crime solving at?

811
00:47:29,360 --> 00:47:32,360
Speaker 1: But I think at the really that point of all, yeah,

812
00:47:32,440 --> 00:47:35,680
Speaker 1: we're not we are not actually deploying the correct people

813
00:47:35,840 --> 00:47:38,960
Speaker 1: to those who are in need of assistance. So and

814
00:47:39,040 --> 00:47:42,000
Speaker 1: in general, we're just not here to help people when

815
00:47:42,040 --> 00:47:43,840
Speaker 1: they are in need of assistance. I think it's like

816
00:47:43,880 --> 00:47:47,960
Speaker 1: a larger cultural flaw that we have in this country. Yeah,

817
00:47:48,040 --> 00:47:50,240
Speaker 1: I mean, there's been studies that show that four point

818
00:47:50,280 --> 00:47:53,920
Speaker 1: four percent of dispatches when police are like dispatched to

819
00:47:53,960 --> 00:47:58,120
Speaker 1: a location, four point four percent of those are calls

820
00:47:58,160 --> 00:48:02,799
Speaker 1: about any sort of violence, solid gunfire, robbery, uh, you know,

821
00:48:02,880 --> 00:48:06,920
Speaker 1: anything that would require somebody who has training in how

822
00:48:06,960 --> 00:48:09,480
Speaker 1: to deal with violence to to be there. That's for them.

823
00:48:10,120 --> 00:48:12,520
Speaker 1: We'll give We'll give the cops one percentage point more.

824
00:48:12,600 --> 00:48:15,680
Speaker 1: They can keep five percent of their staff, and then

825
00:48:15,680 --> 00:48:18,319
Speaker 1: I forgot what to do with that other there you go.

826
00:48:18,920 --> 00:48:20,719
Speaker 1: I think it's pretty funny that this is one of

827
00:48:20,760 --> 00:48:24,200
Speaker 1: those things that both police and police unions and police

828
00:48:24,239 --> 00:48:29,160
Speaker 1: abolitionists agree on are assigned a lot. I mean, there

829
00:48:29,200 --> 00:48:32,239
Speaker 1: are a lot of um cops, you know, particularly like

830
00:48:32,440 --> 00:48:34,600
Speaker 1: you know, chiefs of police in major cities, and in

831
00:48:34,640 --> 00:48:38,360
Speaker 1: a lot of their statements, they'll say we deal with X,

832
00:48:38,520 --> 00:48:41,880
Speaker 1: Y Z all these crazy things. And they're saying it

833
00:48:42,040 --> 00:48:45,440
Speaker 1: like look what look what cops do. But you know,

834
00:48:45,440 --> 00:48:47,160
Speaker 1: when you see it, you're like, cops shouldn't have to

835
00:48:47,200 --> 00:48:48,840
Speaker 1: do any of that stuff. And they say, like, we

836
00:48:48,920 --> 00:48:51,320
Speaker 1: make these sacrifices, we attend to all these sorts of

837
00:48:51,360 --> 00:48:55,319
Speaker 1: different things and like and those those are a lot

838
00:48:55,360 --> 00:48:58,919
Speaker 1: of the interactions that don't go well, you know. So yeah,

839
00:48:58,920 --> 00:49:01,760
Speaker 1: it's it's funny that like both police and people who

840
00:49:01,840 --> 00:49:05,360
Speaker 1: would like the police to be abolished are like agree

841
00:49:05,400 --> 00:49:09,520
Speaker 1: on the fact that police uh are asked to solve

842
00:49:09,560 --> 00:49:12,080
Speaker 1: a lot of problems that they are not trained for

843
00:49:12,880 --> 00:49:15,439
Speaker 1: and don't know what to do. I mean at that point,

844
00:49:15,440 --> 00:49:17,400
Speaker 1: I like, I'd imagine if you're like, okay, you're right,

845
00:49:17,480 --> 00:49:20,520
Speaker 1: so then like let's do let's pilot something where we

846
00:49:20,600 --> 00:49:23,319
Speaker 1: have people that are actually going to respond. And then

847
00:49:23,360 --> 00:49:25,279
Speaker 1: when that pipe programs always like wait, so what did

848
00:49:25,360 --> 00:49:27,920
Speaker 1: y'all do this whole time? Yeah, It's like even the

849
00:49:27,960 --> 00:49:32,200
Speaker 1: people that think police abolition is like a crazy pipe dream,

850
00:49:32,239 --> 00:49:34,759
Speaker 1: are you know? The response is always, well, you're sure

851
00:49:34,760 --> 00:49:37,279
Speaker 1: going to want the police when you've been when your

852
00:49:37,280 --> 00:49:39,719
Speaker 1: house has been broken into and your stuff stolen and

853
00:49:39,840 --> 00:49:43,839
Speaker 1: you assaulted, right, And the implication there is you're gonna

854
00:49:43,920 --> 00:49:45,960
Speaker 1: want a violent guy with a gun to come to

855
00:49:46,000 --> 00:49:48,680
Speaker 1: your house when all this stuff is happening to you

856
00:49:48,760 --> 00:49:51,040
Speaker 1: so he can defend you and then mistake me actually

857
00:49:51,080 --> 00:49:54,200
Speaker 1: for the perpetrator even though I'm the right. Yeah, like

858
00:49:54,239 --> 00:49:56,440
Speaker 1: go to the wrong house or something, and like not

859
00:49:56,560 --> 00:49:59,200
Speaker 1: have a lawyer there. Like just the idea that a

860
00:49:59,239 --> 00:50:02,120
Speaker 1: cops should come to anybody's house without a lawyer present

861
00:50:02,200 --> 00:50:04,560
Speaker 1: to witness the whole exchange is like a little, a

862
00:50:04,560 --> 00:50:07,040
Speaker 1: little it just doesn't make sense. It just doesn't make sense.

863
00:50:07,400 --> 00:50:09,520
Speaker 1: What do you think about people's safety? Yeah, the vision

864
00:50:09,560 --> 00:50:11,239
Speaker 1: isn't like what do you do without cops? It's like

865
00:50:11,280 --> 00:50:13,080
Speaker 1: no, no no, no, what do you What does the world

866
00:50:13,120 --> 00:50:16,480
Speaker 1: look like where less people are desperate? Right? And it's like,

867
00:50:16,560 --> 00:50:19,560
Speaker 1: what if you only had to call the cops when

868
00:50:19,600 --> 00:50:23,440
Speaker 1: you were assaulted, because right now, cops are called when

869
00:50:23,440 --> 00:50:28,799
Speaker 1: your neighbors being noisy. That's not the same level of urgency, right,

870
00:50:30,120 --> 00:50:32,799
Speaker 1: but they will arrive with some urgency like okay, so

871
00:50:32,840 --> 00:50:35,000
Speaker 1: what they're wanting? Guns back here with this word music

872
00:50:35,120 --> 00:50:37,319
Speaker 1: coming from and you're like, this is why calling the

873
00:50:37,360 --> 00:50:40,480
Speaker 1: cops is bad, Like for people who are like I

874
00:50:40,520 --> 00:50:42,960
Speaker 1: would call the cops for an emergency. This is why

875
00:50:43,000 --> 00:50:45,799
Speaker 1: calling the cops as the police exist right now is

876
00:50:45,880 --> 00:50:48,920
Speaker 1: so risky. It's because like, it doesn't matter what you're

877
00:50:48,920 --> 00:50:51,000
Speaker 1: calling them about. It doesn't matter if you're like I

878
00:50:51,000 --> 00:50:52,719
Speaker 1: see a homeless guy in the street and I think

879
00:50:52,719 --> 00:50:56,759
Speaker 1: he needs help, who do you call in that situation?

880
00:50:56,960 --> 00:50:58,880
Speaker 1: You know, those are situations where people are like, I

881
00:50:58,880 --> 00:51:00,719
Speaker 1: guess we'll call the cops because I don't know who

882
00:51:00,800 --> 00:51:03,200
Speaker 1: else to call. Because you want to help and you

883
00:51:03,239 --> 00:51:05,960
Speaker 1: hope that the cops will help. But the reality, as

884
00:51:05,960 --> 00:51:08,440
Speaker 1: we see, is that cops are not trained to deal

885
00:51:08,480 --> 00:51:10,640
Speaker 1: with that situation, and they're going to deal with it

886
00:51:10,840 --> 00:51:13,319
Speaker 1: by escalating it and making it violent because that's what

887
00:51:13,320 --> 00:51:17,000
Speaker 1: they're trained for, and it should be. There should be

888
00:51:17,239 --> 00:51:20,000
Speaker 1: someone else that you immediately are like, oh, just like now,

889
00:51:20,040 --> 00:51:23,799
Speaker 1: when somebody's having a heart attack, you call a fucking paramedic. Yeah,

890
00:51:23,960 --> 00:51:27,680
Speaker 1: nobody's like call the cops. No, you you call somebody

891
00:51:27,760 --> 00:51:30,640
Speaker 1: who knows what to do in that situation. Right, It's like, Oh,

892
00:51:30,719 --> 00:51:33,680
Speaker 1: this person is in distress and needs help. That's not

893
00:51:33,760 --> 00:51:38,120
Speaker 1: the cops. That's another number you call you and that's

894
00:51:38,120 --> 00:51:39,920
Speaker 1: a medical emergency. You're like, I don't want you to

895
00:51:39,960 --> 00:51:41,520
Speaker 1: like pick this guy up off the street and put

896
00:51:41,560 --> 00:51:44,120
Speaker 1: him in jail or like steal his ship. I want

897
00:51:44,120 --> 00:51:46,560
Speaker 1: you to help him, you know. And cops are like,

898
00:51:46,640 --> 00:51:48,600
Speaker 1: people are asking us to help in all these kinds

899
00:51:48,600 --> 00:51:51,400
Speaker 1: of situations, and they're fucking right, Like, nobody should be

900
00:51:51,440 --> 00:51:54,800
Speaker 1: asking cops to deal with every single problem that exists

901
00:51:54,840 --> 00:51:57,120
Speaker 1: in a in a city of people. Yeah, just give

902
00:51:57,200 --> 00:51:59,719
Speaker 1: these badges to these social workers because those are the

903
00:51:59,719 --> 00:52:01,480
Speaker 1: people who need to be And you think about even

904
00:52:01,480 --> 00:52:04,759
Speaker 1: in l a county, like how horribly understaffed we are

905
00:52:04,840 --> 00:52:06,799
Speaker 1: if we even wanted to do something like that. It

906
00:52:06,840 --> 00:52:09,360
Speaker 1: was something like there's only there's like less than twenty

907
00:52:09,440 --> 00:52:11,880
Speaker 1: people professionals who are dealt with some kind of like

908
00:52:11,960 --> 00:52:16,759
Speaker 1: crisis intervention sort of outreach in the county. Just like

909
00:52:16,800 --> 00:52:19,440
Speaker 1: in the seventies. They didn't have anybody to do this,

910
00:52:19,680 --> 00:52:22,600
Speaker 1: and so they trained people. That's how you get those people.

911
00:52:23,040 --> 00:52:24,680
Speaker 1: And so yeah, yeah, we just got to like it's

912
00:52:24,680 --> 00:52:26,520
Speaker 1: like okay, so let's do the new thing around me, Like, well,

913
00:52:26,520 --> 00:52:29,080
Speaker 1: how do we fix the shitty thing? It's like no, no no, no, See,

914
00:52:29,080 --> 00:52:30,680
Speaker 1: this is the part of the evolution where we realized

915
00:52:30,920 --> 00:52:33,480
Speaker 1: that thing is that's a rap. And you know who,

916
00:52:34,040 --> 00:52:36,480
Speaker 1: you know who was pissed when the paramedics first started

917
00:52:36,880 --> 00:52:40,120
Speaker 1: doing a really good job at this the police there

918
00:52:40,160 --> 00:52:43,560
Speaker 1: there were rumors going around that the paramedics were actually

919
00:52:43,600 --> 00:52:47,560
Speaker 1: like dealing drugs out of the ambulances and course, and

920
00:52:47,600 --> 00:52:51,000
Speaker 1: then a racist mayor came in and fired all of

921
00:52:51,040 --> 00:52:55,920
Speaker 1: the paramedics. And fortunately it was such a monstrous success

922
00:52:56,000 --> 00:52:59,399
Speaker 1: that like that didn't totally work, and it also spread

923
00:52:59,440 --> 00:53:04,560
Speaker 1: beyond Pittsburgh, but obviously it was it wasn't just like

924
00:53:05,160 --> 00:53:09,200
Speaker 1: a Disney movie where everybody succeeds and people are like,

925
00:53:09,280 --> 00:53:11,920
Speaker 1: you know, we can all work together. There was all

926
00:53:12,000 --> 00:53:18,280
Speaker 1: sorts of institutional corruption and bullshit. Um, but that's talking

927
00:53:18,600 --> 00:53:21,719
Speaker 1: talking shit about paramedics. How petty you are, Like, I

928
00:53:21,840 --> 00:53:25,160
Speaker 1: think that's what That's what y'all sound like. Everyone who's

929
00:53:25,200 --> 00:53:26,920
Speaker 1: like a ball who needs to a ball? Please, that's

930
00:53:26,920 --> 00:53:30,399
Speaker 1: what you fucking sound like. Paramedics is also a dope name.

931
00:53:30,480 --> 00:53:33,000
Speaker 1: So whatever these positions are that we're gonna invent to

932
00:53:33,040 --> 00:53:35,040
Speaker 1: replace police, we have to come up with like dope

933
00:53:35,160 --> 00:53:37,480
Speaker 1: names that make them sound like they parachute into a

934
00:53:37,520 --> 00:53:41,600
Speaker 1: fucking like crisis. And just I think we should give

935
00:53:41,640 --> 00:53:44,240
Speaker 1: them parachutes to I think everyone should receive parachute training

936
00:53:44,239 --> 00:53:48,200
Speaker 1: from the government free of charge at the library. There

937
00:53:48,200 --> 00:53:50,560
Speaker 1: should be like a field outside where you learn how

938
00:53:50,560 --> 00:53:55,919
Speaker 1: to parachute. That's the other etymology of that is because parachute.

939
00:53:57,480 --> 00:54:00,239
Speaker 1: All right. And finally, we do want to know, you

940
00:54:00,239 --> 00:54:05,560
Speaker 1: guys about a hero local hero. No, not not really,

941
00:54:05,640 --> 00:54:08,799
Speaker 1: but uh a guy who pulled off the p P

942
00:54:08,800 --> 00:54:13,399
Speaker 1: P scam too. Just uh we were saying mask off

943
00:54:13,480 --> 00:54:17,960
Speaker 1: before in respect to Louis Golmert, and uh, this guy

944
00:54:18,080 --> 00:54:20,279
Speaker 1: was a little bit mask off, a little too mask

945
00:54:20,360 --> 00:54:22,799
Speaker 1: off when it came to the funk are you going

946
00:54:22,800 --> 00:54:25,040
Speaker 1: down with his p P P loan? The p P

947
00:54:25,200 --> 00:54:28,520
Speaker 1: P loans already has just been funck fest, you know

948
00:54:28,560 --> 00:54:32,280
Speaker 1: what I mean, Whether it's people who fucking don't deserve it? No, no, no, Miles,

949
00:54:32,280 --> 00:54:36,000
Speaker 1: that makes it sound cool? Yeah, I guess so. Yeah, alright,

950
00:54:36,080 --> 00:54:41,400
Speaker 1: let's well, but opinion that one for now. Bullshit fist anyway,

951
00:54:41,640 --> 00:54:45,440
Speaker 1: you know, because usually it's like who don't deserve it? Right,

952
00:54:45,960 --> 00:54:48,520
Speaker 1: people who don't deserve it, or like actual small business

953
00:54:48,520 --> 00:54:51,319
Speaker 1: owners being left in the cold saying like what the

954
00:54:51,400 --> 00:54:53,000
Speaker 1: funk was that you just hooked up a bunch of

955
00:54:53,040 --> 00:54:55,840
Speaker 1: people who didn't need money? Um, but that only you know,

956
00:54:55,880 --> 00:54:58,399
Speaker 1: with a program like that, of course you're gonna find

957
00:54:58,440 --> 00:55:03,920
Speaker 1: opportunistic fraud stirs. And David Hines of Miami was inspired

958
00:55:04,000 --> 00:55:05,520
Speaker 1: by what he was seeing the people in the one

959
00:55:05,560 --> 00:55:07,680
Speaker 1: percent doing, said fuck it, maybe I'll just lie to

960
00:55:07,760 --> 00:55:09,799
Speaker 1: and act like I need money and I'll get I'll

961
00:55:09,840 --> 00:55:13,440
Speaker 1: buy stuff I don't need. So uh he basically he's

962
00:55:13,480 --> 00:55:17,640
Speaker 1: being charged with, you know, fraudulently obtaining three point nine

963
00:55:17,680 --> 00:55:20,000
Speaker 1: million dollars in p p P loans. This is how

964
00:55:20,280 --> 00:55:22,879
Speaker 1: apparently it was easy enough that this man just had

965
00:55:22,920 --> 00:55:26,040
Speaker 1: to forge some documents uh and say that he was

966
00:55:26,080 --> 00:55:29,080
Speaker 1: applying to like a bank on behalf of all these

967
00:55:29,120 --> 00:55:31,560
Speaker 1: different companies, and first he was trying to get thirteen

968
00:55:31,560 --> 00:55:35,160
Speaker 1: and a half million, and they're like, no, we can sorry, sir,

969
00:55:35,200 --> 00:55:37,799
Speaker 1: we can only give you three point nine. This man

970
00:55:38,040 --> 00:55:43,000
Speaker 1: immediately turned around and bought a twenty Lamborghini Hurrican uh,

971
00:55:43,040 --> 00:55:45,560
Speaker 1: and then went on a shopping spree like at all

972
00:55:45,600 --> 00:55:48,960
Speaker 1: these like luxury retailers in Miami, and then like they

973
00:55:49,080 --> 00:55:51,719
Speaker 1: then they caught him, seized all this ship. But in

974
00:55:51,760 --> 00:55:53,319
Speaker 1: my mind when I look at it, I'm like, see,

975
00:55:53,360 --> 00:55:55,600
Speaker 1: this is kind of like, what's funny because even it's

976
00:55:55,600 --> 00:55:57,920
Speaker 1: not just like a rich person thing. It's just like

977
00:55:58,040 --> 00:56:01,040
Speaker 1: how we are showing examples how to make money. It's

978
00:56:01,040 --> 00:56:03,160
Speaker 1: sort of like yo, man, find like a little hustle

979
00:56:03,560 --> 00:56:06,120
Speaker 1: and then like that thing. So it's just funny. I'm like, yeah,

980
00:56:06,120 --> 00:56:08,279
Speaker 1: So in this in this way, David Hynes was just

981
00:56:08,400 --> 00:56:11,200
Speaker 1: really merely acting in the same way that people in

982
00:56:11,239 --> 00:56:14,480
Speaker 1: these upper classes are. Yeah, I mean, how are how

983
00:56:14,719 --> 00:56:19,560
Speaker 1: is any young person supposed to be held accountable for

984
00:56:20,360 --> 00:56:25,240
Speaker 1: scamming when they look who the president is, like, look who?

985
00:56:27,160 --> 00:56:29,959
Speaker 1: Well then just the nature of how businesses operate and

986
00:56:30,080 --> 00:56:33,359
Speaker 1: the people's relationship with their own labor to their employers,

987
00:56:33,480 --> 00:56:36,200
Speaker 1: like everyone, it just feels like a fucking bumm deal.

988
00:56:36,760 --> 00:56:38,719
Speaker 1: So when you have that, you're like, why the funk

989
00:56:38,760 --> 00:56:41,000
Speaker 1: am I? Nobody's unplayed by the rules anymore. There are

990
00:56:41,040 --> 00:56:44,279
Speaker 1: no fucking rules. Everybody's being mistreated and even like in

991
00:56:44,280 --> 00:56:47,640
Speaker 1: a way, sorry, you're like, you know, coronavirus. They act like,

992
00:56:47,719 --> 00:56:50,560
Speaker 1: you know, like fortunately, they act like the Constitution doesn't

993
00:56:50,600 --> 00:56:52,960
Speaker 1: exist or it's not a real thing. So are these politicians.

994
00:56:53,200 --> 00:56:56,440
Speaker 1: So you know, at every level, it's like what what

995
00:56:56,680 --> 00:56:59,040
Speaker 1: is sacred anymore? And it almost feels like most of

996
00:56:59,040 --> 00:57:01,160
Speaker 1: the time people just have their own humanity and their

997
00:57:01,160 --> 00:57:03,440
Speaker 1: own personal relationships to feel like, okay, I can do

998
00:57:03,520 --> 00:57:06,200
Speaker 1: right in this situation out there can be very dark

999
00:57:06,239 --> 00:57:11,239
Speaker 1: and not understanding and sympathetic, but yeah, but this is

1000
00:57:11,320 --> 00:57:13,520
Speaker 1: but these are the messages we see that from the

1001
00:57:13,520 --> 00:57:15,319
Speaker 1: top down, So of course people are gonna start doing

1002
00:57:15,320 --> 00:57:17,200
Speaker 1: their own ship and taking advantage of this. It's just

1003
00:57:18,400 --> 00:57:20,440
Speaker 1: there's I think, just the next thing going to keep

1004
00:57:20,440 --> 00:57:23,120
Speaker 1: an eye on are there's a lot of talk about

1005
00:57:23,160 --> 00:57:25,400
Speaker 1: some of the tax breaks and stuff that are going

1006
00:57:25,440 --> 00:57:29,439
Speaker 1: to be cut into the next potential relief financial relief bill,

1007
00:57:29,840 --> 00:57:32,840
Speaker 1: hopefully if the GOP can figure out if they're willing

1008
00:57:32,920 --> 00:57:35,640
Speaker 1: to help needy people, which seems to be the big

1009
00:57:35,920 --> 00:57:38,520
Speaker 1: hold up right now. But there's a lot of people

1010
00:57:38,640 --> 00:57:41,000
Speaker 1: on the even Democrats, who are supporting this thing that

1011
00:57:41,080 --> 00:57:42,760
Speaker 1: if you really look at it, a lot of tax

1012
00:57:42,800 --> 00:57:45,080
Speaker 1: people are like, dude, you're you're finding a way to

1013
00:57:45,120 --> 00:57:47,919
Speaker 1: give like a hundred billion dollars away, like if people

1014
00:57:47,960 --> 00:57:51,960
Speaker 1: do their taxes sneakily, So yeah, why the like at

1015
00:57:51,960 --> 00:57:54,160
Speaker 1: every even the people that you have voted office, you're like, oh,

1016
00:57:54,240 --> 00:57:56,000
Speaker 1: y'all are helping with that too, So what do I

1017
00:57:56,360 --> 00:58:00,520
Speaker 1: what are the rules anymore? And it's giving a hundred

1018
00:58:00,520 --> 00:58:04,040
Speaker 1: billion dollars away to people who don't need it, just

1019
00:58:04,160 --> 00:58:06,560
Speaker 1: people who are able to pay somebody enough to tell

1020
00:58:06,600 --> 00:58:11,000
Speaker 1: them about the loophole in the tax code or whatever. Um. Yeah,

1021
00:58:11,080 --> 00:58:12,760
Speaker 1: And by the way, I don't want to let David

1022
00:58:12,840 --> 00:58:17,479
Speaker 1: Hines twenty nine of Miami totally off the off the hook.

1023
00:58:17,600 --> 00:58:21,960
Speaker 1: He's very evidently a piece of ship and was was

1024
00:58:22,040 --> 00:58:25,520
Speaker 1: cited last Thursday. Uh, he was got a one dollar

1025
00:58:25,560 --> 00:58:29,120
Speaker 1: ticket for not wearing his mask well while tearing us

1026
00:58:29,240 --> 00:58:34,160
Speaker 1: around Miami and his lamb. Yeah well, sorry, June. It

1027
00:58:34,200 --> 00:58:37,880
Speaker 1: has been a pleasure having you on the daily Zeitgeist.

1028
00:58:37,920 --> 00:58:41,840
Speaker 1: Where can people find you and follow you? You can

1029
00:58:41,960 --> 00:58:45,600
Speaker 1: follow my comedy show High Priestess at hy Priestese Comedy

1030
00:58:45,600 --> 00:58:48,200
Speaker 1: on Instagram. You can go to my website heysar June

1031
00:58:48,240 --> 00:58:51,360
Speaker 1: dot com. Like at might start a newsletter, I don't know,

1032
00:58:51,920 --> 00:58:56,240
Speaker 1: might get crazy, but um, the stuff stuffs on the

1033
00:58:57,080 --> 00:58:59,600
Speaker 1: I funk around and start us up. Stack baby, everyone's

1034
00:58:59,640 --> 00:59:02,800
Speaker 1: doing it. It it's a very it's I hate not performing,

1035
00:59:02,960 --> 00:59:07,040
Speaker 1: but I also hate performing over zoom, so um, you

1036
00:59:07,080 --> 00:59:10,160
Speaker 1: know it sucks. I I really hope everyone is doing

1037
00:59:10,160 --> 00:59:15,440
Speaker 1: okay in pandemic and that we can get a vaccine soon. Um.

1038
00:59:15,560 --> 00:59:17,480
Speaker 1: And is there a tweet or some other work of

1039
00:59:17,560 --> 00:59:21,880
Speaker 1: social media you've been enjoying? Oh yeah, um, there's a

1040
00:59:21,920 --> 00:59:26,000
Speaker 1: tweet by at you girls. I don't know who this

1041
00:59:26,040 --> 00:59:28,680
Speaker 1: person is, but I really enjoyed this tweet. Um, every

1042
00:59:28,720 --> 00:59:32,720
Speaker 1: eighteen seconds a person tests positive for COVID nineteen. This

1043
00:59:32,800 --> 00:59:35,480
Speaker 1: is that man. And then there's a picture of hyerbul cnaro.

1044
00:59:40,120 --> 00:59:44,040
Speaker 1: I've been thinking about it NonStop. Um. Also, before I

1045
00:59:44,160 --> 00:59:46,680
Speaker 1: log off the cast, um, I just want to say,

1046
00:59:46,760 --> 00:59:50,520
Speaker 1: during one of the breaks, UM, three of my roosters

1047
00:59:50,720 --> 00:59:54,720
Speaker 1: were collected by a man who I thought was going

1048
00:59:54,800 --> 00:59:57,520
Speaker 1: to slaughter them. But it turns out they're going to

1049
00:59:57,560 --> 00:59:59,760
Speaker 1: a very nice farm, um, and they will have a

1050
00:59:59,760 --> 01:00:04,200
Speaker 1: lot of a lot of room. It's like us, I know,

1051
01:00:03,640 --> 01:00:07,880
Speaker 1: you know he's gonna send me pictures and rub it

1052
01:00:07,920 --> 01:00:14,280
Speaker 1: on his gums, right, and just yeah, yeah, and yeah.

1053
01:00:14,320 --> 01:00:16,200
Speaker 1: I was upset because you know, they were kind of

1054
01:00:16,240 --> 01:00:19,520
Speaker 1: scared and um, you know, I didn't just didn't want

1055
01:00:19,560 --> 01:00:21,760
Speaker 1: them to be scared to suffer. And he was like,

1056
01:00:21,840 --> 01:00:23,680
Speaker 1: oh no, we have like all this acreage and I

1057
01:00:23,720 --> 01:00:27,880
Speaker 1: was like, oh that's so nice. So um too filled

1058
01:00:27,880 --> 01:00:33,040
Speaker 1: with discarded chicken corpses that they didn't ze gang this

1059
01:00:33,120 --> 01:00:37,640
Speaker 1: delicious batter that one of the chickens was Julian. Somebody

1060
01:00:38,600 --> 01:00:41,440
Speaker 1: asked for a chicken to be named Julian and so

1061
01:00:41,560 --> 01:00:43,920
Speaker 1: and so it was and that was going to a

1062
01:00:44,000 --> 01:00:48,080
Speaker 1: very nice farm. Yeah. Same with that one problem dog

1063
01:00:48,160 --> 01:00:51,680
Speaker 1: we had when I was eight. Yes, uh miles, where

1064
01:00:51,680 --> 01:00:55,000
Speaker 1: can people find you? What the tweet you've been enjoying? Twitter? Instagram?

1065
01:00:55,480 --> 01:00:58,800
Speaker 1: Uh Miles, of gray. Also my other podcast for twenty

1066
01:00:58,880 --> 01:01:02,040
Speaker 1: Day Fiance, where just you know, take a break talk

1067
01:01:02,080 --> 01:01:06,160
Speaker 1: about some reality TV, specifically ninety day Fiance. Uh. A

1068
01:01:06,160 --> 01:01:08,560
Speaker 1: few tweets I like. Uh. First one is from at

1069
01:01:08,560 --> 01:01:12,240
Speaker 1: Emily Gorsenskate says, Hey Portland port protesters, you're all very,

1070
01:01:12,320 --> 01:01:14,360
Speaker 1: very brave, and there's something you need to do over

1071
01:01:14,400 --> 01:01:17,280
Speaker 1: the next week's months and years. Do cancer screenings and

1072
01:01:17,360 --> 01:01:21,040
Speaker 1: keep secure records. Um. Yeah, I can only imagine what

1073
01:01:21,120 --> 01:01:24,040
Speaker 1: being out there for sixty days straight may happen and

1074
01:01:24,040 --> 01:01:25,920
Speaker 1: what kind of chemicals that they were in the presence of.

1075
01:01:26,000 --> 01:01:30,560
Speaker 1: But that is eerie and something. Yeah. Also another one

1076
01:01:30,600 --> 01:01:33,520
Speaker 1: from at evan Jake Hessler says, the good thing is

1077
01:01:33,600 --> 01:01:35,760
Speaker 1: after the Secret Police takes one of your friends, you

1078
01:01:35,800 --> 01:01:37,840
Speaker 1: can go home, crack open a beer and watch a

1079
01:01:37,880 --> 01:01:40,840
Speaker 1: totally normal baseball game with cardboard cutouts in the stands

1080
01:01:40,840 --> 01:01:45,440
Speaker 1: and take crowds. And another one is from at Soda

1081
01:01:45,520 --> 01:01:47,960
Speaker 1: Mom twenty three. She says, you're gonna send your kid

1082
01:01:48,040 --> 01:01:50,080
Speaker 1: to school with the paw Patrol mask and he's gonna

1083
01:01:50,080 --> 01:01:52,320
Speaker 1: come home with the Spider Man mask because he made

1084
01:01:52,320 --> 01:01:54,439
Speaker 1: a trade at lunch. Whole school will be shut down

1085
01:01:54,440 --> 01:01:57,880
Speaker 1: the next day. Yes that I can only imagine the

1086
01:01:58,000 --> 01:02:01,920
Speaker 1: mask trading economy between children, and honestly, whoever wrote that

1087
01:02:02,120 --> 01:02:05,840
Speaker 1: put them put them in charge of public policy, right exactly.

1088
01:02:05,880 --> 01:02:09,840
Speaker 1: They're like, that's that's the new Betsy Divas is at

1089
01:02:09,920 --> 01:02:13,400
Speaker 1: Soda Mom twenty three. Thank you Soda Mom, Thank you.

1090
01:02:13,520 --> 01:02:17,520
Speaker 1: We salute an American hero. A couple of tweets I've

1091
01:02:17,520 --> 01:02:22,880
Speaker 1: been enjoying. Uh that that reis philbin uh who wants

1092
01:02:22,880 --> 01:02:25,960
Speaker 1: to be a millionaire clip where the guy wins the

1093
01:02:26,000 --> 01:02:28,800
Speaker 1: million dollars for the first time and is like, I'd

1094
01:02:28,800 --> 01:02:31,480
Speaker 1: like to call my parents and then he's like, I

1095
01:02:31,480 --> 01:02:33,920
Speaker 1: don't need your help. I just I know the answer,

1096
01:02:33,920 --> 01:02:35,560
Speaker 1: and I wanted to tell you that I'm about to

1097
01:02:35,560 --> 01:02:39,120
Speaker 1: win a million dollars and then gives the answer. Uh.

1098
01:02:39,240 --> 01:02:41,520
Speaker 1: Alex Sedelman summed up my thoughts and he said, if

1099
01:02:41,520 --> 01:02:44,600
Speaker 1: the question was what is your own first name? I

1100
01:02:44,640 --> 01:02:48,480
Speaker 1: still wouldn't have the balls to do this. It's just

1101
01:02:48,560 --> 01:02:52,479
Speaker 1: like the most I don't know confident thing anybody Jack,

1102
01:02:52,520 --> 01:02:56,840
Speaker 1: if it was something to do with Jaws, would really

1103
01:02:56,920 --> 01:02:59,640
Speaker 1: question the question is which of these U S presidents

1104
01:02:59,680 --> 01:03:05,200
Speaker 1: up here on the television series laughing like Richard Nixon. Yeah,

1105
01:03:05,480 --> 01:03:09,000
Speaker 1: but you know what, I bet that episode of laughing

1106
01:03:09,080 --> 01:03:12,680
Speaker 1: together because then I was like, wait, what's your face?

1107
01:03:12,800 --> 01:03:16,960
Speaker 1: Goldie Han was a comedian, Like I had no idea

1108
01:03:17,040 --> 01:03:19,160
Speaker 1: until like I knew what the laughing was on the

1109
01:03:19,200 --> 01:03:24,360
Speaker 1: Holy Ship. Bro all my ignorant old TV is crazy. Um.

1110
01:03:24,440 --> 01:03:30,160
Speaker 1: And then Chris sharpened sharp and Tier tweeted tweeter, I'll

1111
01:03:30,160 --> 01:03:33,400
Speaker 1: tell you this much, between my mask, sunglasses and wireless headphones,

1112
01:03:33,440 --> 01:03:37,320
Speaker 1: I've never asked more of my ears, and my ears

1113
01:03:37,400 --> 01:03:39,920
Speaker 1: are tired at the end of the day. You can

1114
01:03:39,960 --> 01:03:42,280
Speaker 1: find me a check underscore o bra and you can

1115
01:03:42,320 --> 01:03:44,840
Speaker 1: find us on Twitter at daily Zeitgeis. Were at the

1116
01:03:44,960 --> 01:03:47,720
Speaker 1: Daily Zeitgeist on Instagram. We have a Facebook fan page

1117
01:03:47,720 --> 01:03:51,440
Speaker 1: and website Daily zeitgeis dot com where we post our episodes.

1118
01:03:51,520 --> 01:03:54,520
Speaker 1: In our foot were link off to the information that

1119
01:03:54,560 --> 01:03:57,400
Speaker 1: we talked about in today's episode, as well as the

1120
01:03:57,440 --> 01:04:01,560
Speaker 1: song right out on my are we riding out on

1121
01:04:01,800 --> 01:04:04,800
Speaker 1: to day? Oh? We were going out on the artist

1122
01:04:04,920 --> 01:04:09,600
Speaker 1: seventy nine point five, um, which is really uh, it's

1123
01:04:09,640 --> 01:04:14,880
Speaker 1: just it's singer songwriter Kate Madison. But this like the

1124
01:04:14,880 --> 01:04:17,880
Speaker 1: whole this whole album that she has out, Um, it's

1125
01:04:17,880 --> 01:04:19,080
Speaker 1: not I don't think I don't know how I think

1126
01:04:19,080 --> 01:04:21,480
Speaker 1: you want two years ago, it's called Prediction. It just

1127
01:04:21,600 --> 01:04:24,480
Speaker 1: has like this really great low fi like it just

1128
01:04:24,520 --> 01:04:27,640
Speaker 1: feels like a really solid small three to four piece

1129
01:04:27,680 --> 01:04:31,040
Speaker 1: band playing in the living room with just you know,

1130
01:04:31,280 --> 01:04:34,160
Speaker 1: sort of these ideas that are going like across ages

1131
01:04:34,240 --> 01:04:37,400
Speaker 1: and genres um. And so this track is called Sisters

1132
01:04:37,480 --> 01:04:40,160
Speaker 1: Unarmed and it's just a dope track. Man. It's gonna

1133
01:04:40,160 --> 01:04:42,040
Speaker 1: get your toe tap and put some honey in your

1134
01:04:42,080 --> 01:04:44,480
Speaker 1: hips and just enjoy that as we just got a

1135
01:04:44,480 --> 01:04:48,600
Speaker 1: few more, few more hours till this weekend. Alright, Well,

1136
01:04:48,600 --> 01:04:50,960
Speaker 1: The Daily Zeitgeis is a production of I Heart Radio.

1137
01:04:51,000 --> 01:04:53,840
Speaker 1: For more podcast for my Heart Radio visits her radio app,

1138
01:04:53,880 --> 01:04:56,280
Speaker 1: Apple podcast or where if you listen to your favorite chokes.

1139
01:04:56,600 --> 01:04:58,640
Speaker 1: That's gonna do it for this morning. We will be

1140
01:04:58,680 --> 01:05:00,640
Speaker 1: back this afternoon to tell you what trending I won't

1141
01:05:00,720 --> 01:05:27,160
Speaker 1: talk to bye, I'm not afraid about you say, Oh so, bitch,

1142
01:05:30,600 --> 01:05:39,320
Speaker 1: it's a bit far, how bad? I'm sad, I'm hold

1143
01:05:39,320 --> 01:05:39,520
Speaker 1: of it.