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Speaker 1: Hello the Internet, and welcome to season one, thirty two,

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Speaker 1: Episode five of us Jo Daly's Hi Guys, a production

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Speaker 1: of I Heart Radio. This is a podcast where we

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Speaker 1: take a deep dive into America's shared consciousness and say, officially,

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Speaker 1: off the top, fuck the Koch Brothers and fuff Fox News.

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Speaker 1: It's Friday's mate. My name is Jack O'Brien ak. Cheer up, Jackoby.

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Speaker 1: You still have Miles g You're cor and teen believer

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Speaker 1: and uh home staying king. That is courtesy if Andy

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Speaker 1: Kerwin and I'm thrilled to be joined as always by

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Speaker 1: my co host, Mr Miles Gray. Yeah. What I wanna

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Speaker 1: do want to be quaw wers or hoarders warriors. Will

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Speaker 1: be chilling out home and your drawers, getting high, playing

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Speaker 1: games to the morning in trying to get my hands

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Speaker 1: on some toilet like paper, living the core deal ship real. Okay,

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Speaker 1: to start right there, shout out that Hannah Sault is

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Speaker 1: for that all about the Benjamin's inspired quarantine that one

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Speaker 1: of I believe track number ten on the No Way

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Speaker 1: Out album on the CD, because that's how I used

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Speaker 1: to just remember where songs were. I think it's like

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Speaker 1: one of the only songs one of the only songs

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Speaker 1: I can play on the piano. Pretty good at that one,

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Speaker 1: and I'm thrilled to be joined as always by my

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Speaker 1: other co host, Jamie Loftu. What is it good for?

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Speaker 1: Flattening in the curve. I'm just gonna stop there. I

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Speaker 1: don't want to yell anymore. That made my head hurt.

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Speaker 1: It's too hot out there. Okay, uh there. That's from

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Speaker 1: Rich Jefferson at Device null. Oh, and I'm sorry to

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Speaker 1: DJ Dan in advance for absolutely blowing out out the

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Speaker 1: sound on my audio track. Not like the other day.

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Speaker 1: That not when you exploded a piece? Was that, Papa?

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Speaker 1: It was a yeah that broke. He really disturbed the

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Speaker 1: electromagnetic frequencies in my home. And we were thrilled to

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Speaker 1: be joined in our fourth seat by the hilarious and

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Speaker 1: talented Sarah June. What's up? I don't have an a

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Speaker 1: k A. Because I was going to do a lou

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Speaker 1: Reid Sweet June, but it's as Jamie said, it's too

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Speaker 1: hot to do much yelling right now. But you guys

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Speaker 1: get the idea, right sweet dude? What no? Sorry, June disease? Sorry,

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Speaker 1: how you been? I'm good? You know, I don't have

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Speaker 1: COVID as far as I know. Um, I am very

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Speaker 1: very few link very grateful these days doing a lot

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Speaker 1: of that. Yeah, I'm doing good. Um. I hate zoom calls.

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Speaker 1: I'm going to start with that. M Really, They're so funny. Yeah,

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Speaker 1: I love them. I find them a perfect substitute for

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Speaker 1: human contact and human interaction. They're they're the best. I mean, Jack,

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Speaker 1: I gotta say, I don't know if they're quite as

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Speaker 1: good sometimes there and stop. You gotta get on some

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Speaker 1: of these zoom calls. We're on sorrow because I'm just

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Speaker 1: just as wild. Yeah. Wow, it feels like the real world,

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Speaker 1: feels like we're all in a house together. Yeah. I

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Speaker 1: want to be in my hot bedroom forever. I don't

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Speaker 1: want to come out of here. We got Smiles in

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Speaker 1: South Star doing a live performance in a little bit

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Speaker 1: all right, sorry, June. We are going to get to

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Speaker 1: know you a little bit better in a moment. First,

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Speaker 1: we're gonna tell our listeners a couple of the things

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Speaker 1: we're talking about. We're gonna talk about Trump questioning the

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Speaker 1: death toll, which is his new strategy for hiding the

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Speaker 1: fact that he totally fucked this up. We're gonna talk

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Speaker 1: about Trump hiding the CDC recommendations for reopening. We are

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Speaker 1: going to talk about people gushing over Dr Fauci. We're

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Speaker 1: gonna talk about the Musk, Grimes Child, the Grusk Baby.

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Speaker 1: We're going to try and decide what our movie of

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Speaker 1: the weekend is going to be. But first sor June,

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Speaker 1: we like to ask our guest, what is something from

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Speaker 1: your search history that is revealing about who you are? Hi? Uh?

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Speaker 1: In my search history I have. Um. The last thing

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Speaker 1: is how long do you have to feed chicks starter mash?

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Speaker 1: Because I have some chicks and I'm yeah, I didn't know.

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Speaker 1: What did you get chickens? Um? They hatched about two

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Speaker 1: and a half weeks ago. Oh my god. Yeah, they're

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Speaker 1: really cute and I love them. What do you feed

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Speaker 1: on starter mash? What is that? I guess it didn't compute.

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Speaker 1: I don't know what that is. It's just grains. It's

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Speaker 1: still like chicken feed is like grains and corn and stuff. Um,

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Speaker 1: and they just for starter mash. They just kind of

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Speaker 1: grind it up because the little chicken beaks can't their

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Speaker 1: beaks are too small. You have to make it small

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Speaker 1: for them so they can eat it because they're so small.

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Speaker 1: Is this gonna inspire another historical moment on the internet.

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Speaker 1: You know, you gave people nan cat, but like that's true,

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Speaker 1: and then I got money and then I got a cat.

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Speaker 1: I didn't have enough money to get a cat before

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Speaker 1: yon cat. I was like saving up for the adoption.

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Speaker 1: Yeah right, it was. It was like a holdover until Wow.

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Speaker 1: So the desire for a cat was so intense. You

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Speaker 1: created a piece of mine mental manifested my cat that

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Speaker 1: goes in the pantheon of Internet creations. And it was

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Speaker 1: all because you couldn't afford a cat. Yeah, And I

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Speaker 1: manifested my cat, Myla, and that's why she's so magical

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Speaker 1: boom energy, like a huge bit yeah, extreme extreme girl

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Speaker 1: boss energy. Thank you, Jamie right in. That's that's beautiful. Yeah.

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Speaker 1: So now I have eight chicks. Oh, what's the plan?

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Speaker 1: Like what do you do long term? Like have like eggs,

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Speaker 1: like they give you eggs or so at some point

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Speaker 1: I gotta um, at some point I will figure out

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Speaker 1: which one of them are hands in which are roosters,

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Speaker 1: and uh, then I might have to get rid of

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Speaker 1: a rooster if I have more than one rooster, because

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Speaker 1: you're not allowed to have more than one rooster in

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Speaker 1: Los Angeles to horny or do they fight each other?

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Speaker 1: They fight each other. Yeah, they fight each other, and

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Speaker 1: they're like really loud and annoying. You can't have more

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Speaker 1: than one so these abris gets too mad. So more

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Speaker 1: than one male in the presence of a group of

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Speaker 1: females will lead to violence and just annoying behavior. Chickens

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Speaker 1: are like extremely hierarchical, um, you know, really alpha if

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Speaker 1: there if they're if you've got roosters, multiple you got

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Speaker 1: let's say you got three, that means you're gonna have

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Speaker 1: to eat them. I'm not going to eat them. I'm

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Speaker 1: gonna I'm gonna give them away. I'm just thinking very

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Speaker 1: organ trail right now. I've been playing as a crazy question. Honestly,

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Speaker 1: That's what most people do, is like you hatch chicks

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Speaker 1: and then when you find out which ones are men,

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Speaker 1: you eat those ones, um except one uh and then

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Speaker 1: but I don't. I don't really have the stomach to

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Speaker 1: do that. I I got these chickens for eggs, not

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Speaker 1: for meat. So um, yeah, I'm not gonna I'm gonna

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Speaker 1: try and see if somebody else wants a rooster. Yeah,

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Speaker 1: they're so cute that's really like congratulations, like nice, or

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Speaker 1: they just do you have a yard that they just

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Speaker 1: have a yard. They have to be they have to

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Speaker 1: be in a there in a coup. But you got

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Speaker 1: like the wire and all that. What wi what do

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Speaker 1: you mean? I don't know? Did chicken Oh? Yeah, yeah,

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Speaker 1: well chicken wire. Actually, hot tip, guys, chicken wire doesn't

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Speaker 1: keep predators out. It only keeps chickens in. So if

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Speaker 1: you make your chicken coop out of chicken wire, it's

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Speaker 1: like raccoons can chew through it and ship um and

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Speaker 1: like coyotes could probably funk with it pretty easy. So uh,

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Speaker 1: it's better to use hardware cloth, which is just like

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Speaker 1: a strong mesh. Yeah. Sorry, did you know that you

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Speaker 1: have a whole page on the Neon cat Wicky and

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Speaker 1: it's a very funny page. No, I didn't know there was.

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Speaker 1: What do you mean in yon cat? Like on Wikipedia,

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Speaker 1: there's a hole like your on Now it's like a

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Speaker 1: Neon cat dot fandom dot com. You have your own

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Speaker 1: pack every big to this site. Yeah, it says Sara June,

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Speaker 1: now known as Meme TV means it says me, is

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Speaker 1: that how I should have introduced you? I apologized our

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Speaker 1: guest meme TV. What's the kid's name? And Charlie and

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Speaker 1: the chocolate fact. I didn't know there was, um Charlie.

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Speaker 1: There's some kids which TV? The TV Mike Mike T Yeah, yeah,

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Speaker 1: sister me TV. I mean, I mean TV. I loved

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Speaker 1: Mike TV. In the book. Mike TV was always like

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Speaker 1: this ship is boring. I want to watch TV people,

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Speaker 1: And I was like, this guy gets it. He was yeah,

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Speaker 1: he was presaging like our generation we're like yeah, yeah,

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Speaker 1: yeah yeah. He was like TV fucking rules, Like amp

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Speaker 1: it up, dude, already shot when you cost play at

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Speaker 1: a whimsical candy factory, that shows you have the attention

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Speaker 1: span that's not k People will appreciate anything you're like,

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Speaker 1: I could be in this amazing place, but I still

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Speaker 1: need to look like how boy? Yeah, Like come on, dude,

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Speaker 1: you're you're too desensitized, like for any uh any uninitiated listeners.

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Speaker 1: You created the yan cat. That's not a joke. Yeah,

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Speaker 1: well it's also you know, the m I think it's

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Speaker 1: a little more accurate to say I like combined to

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Speaker 1: properties into a meme. I didn't draw the jonct gift

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Speaker 1: and I didn't make the song. I just put them

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Speaker 1: together and put them on YouTube. So I feel like

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Speaker 1: it's misleading to say I made the meme. Um, but

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Speaker 1: but I was part of a wonderful team that people

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Speaker 1: that didn't know each other and yet and that we

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Speaker 1: love the honesty and humility, and that has been this

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Speaker 1: segment of behind the meme on the Daily Thank you

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Speaker 1: so much. Oh my god, there's a page about me.

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Speaker 1: She is She is now a comedian and a feminist

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Speaker 1: who works for a company that even mean serjum, what

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Speaker 1: is something you think is underrated? Um? This page about

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Speaker 1: me on this new Um No, Okay, honestly, the thing

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Speaker 1: that I was going to say is underrated is Craigslist,

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Speaker 1: especially the free section. People are like, yeah, whatever, Craigslist,

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Speaker 1: But did you know Craigslist still doesn't have any ads

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Speaker 1: on it? Yeah? Are you that fucking crazy? Azing? That

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Speaker 1: guy Craig is kind of a trippy dude, isn't he

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Speaker 1: who started it? Craig fucking rules, dude. It's just like

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Speaker 1: one of one of the only usable websites left on

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Speaker 1: the fucking Internet. Because I got back on Twitter for

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Speaker 1: a little bit, and I was on there for like

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Speaker 1: two weeks and then they were like design re update

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Speaker 1: to make it better, and I was like, this fucking

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Speaker 1: company wants me to quit, Like they want you to

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Speaker 1: stop using the fucking app. Why else would they keep

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Speaker 1: fucking with their algorithm. They hate me personally. They want

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Speaker 1: to they want to weed out the casuals. That's me.

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Speaker 1: I'm a casual. I'm a bandwagon. Yeah, there's something about

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Speaker 1: those like that original generation of websites like Snopes is

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Speaker 1: still out here as like a source that were like

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Speaker 1: it still doing it. Many they're still still trust Snopes, right, Yeah,

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Speaker 1: there was Yeah, a Zeke gang member put me onto

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Speaker 1: some like Snopes drama that there was like a bit

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Speaker 1: of infighting within Snopes and there was a bit of

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Speaker 1: a there was a great I think I don't know.

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Speaker 1: I think it's just about people. I don't know. I

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Speaker 1: don't know if it was necessarily about like the work

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Speaker 1: that was being done rather than maybe interpersonal things or

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Speaker 1: maybe where the direction of it was started with the

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Speaker 1: myth in it and they just I couldn't figure it out.

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Speaker 1: Um Yeah, I mean the Beatles had a big schism too,

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Speaker 1: but they're still good. Uh some some people Church England.

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Speaker 1: You know, sometimes you get two good things. So how

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Speaker 1: so how do like does Craigslist. Is it a business

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Speaker 1: or is it just like a service that's being provided.

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Speaker 1: I'm curious, like what the inner workings are of that,

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Speaker 1: because I mean they must employ people to keep it

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Speaker 1: working and keep it like moderated. Right, I don't know.

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Speaker 1: I just use the website and it and it does

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Speaker 1: what I need it to do, and I get to

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Speaker 1: see what kind of weird ship my neighbors are giving away. Like, yeah,

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Speaker 1: it's great. I love not having to like relearn how

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Speaker 1: to use the website every time I fucking use it.

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Speaker 1: Here they take a cut of all free couches that

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Speaker 1: are given away. Uh, they take a big cut of

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Speaker 1: all the clean fil dirt. We've like mostly furnished our

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Speaker 1: apartment with stuff from let Go. It's like some that

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Speaker 1: goes that ship is useful. Yeah, we've been. We got

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Speaker 1: a ton of like cheap know, like better than we can. Yeah,

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Speaker 1: you could fucking you could outfit a whole backyard with

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Speaker 1: let Go. It's amazing how it's funny because it appeals

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Speaker 1: to so it's like there's there's also they're people who

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Speaker 1: just want to get rid of stuff. Then there are

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Speaker 1: people who are like have like wild disposable income and

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Speaker 1: are just like if you come get this like it's

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Speaker 1: yours or something like that. They're like, I don't want

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Speaker 1: to get this fixed. You just take it and get

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Speaker 1: it fixed and you just replace that. Screw it will fin.

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Speaker 1: I just I can't handle it. I'm stressed out. Please

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Speaker 1: get it out of here. Please, I'm sorry, but enjoy

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Speaker 1: your people call my people to come over here. Literally

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Speaker 1: we just put in like richer zip codes and like yeah,

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Speaker 1: and then we're like to one oh and it was

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Speaker 1: literally some like rich person that we got our couch from.

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Speaker 1: That that's like I just signed a deal with something

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Speaker 1: and I need to get rid of this couch. And

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Speaker 1: we're like, okay, can we give you a hundred fifty dollars?

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Speaker 1: He was, I don't care, just get it, get it now,

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Speaker 1: just get it, take it out of his life, and

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Speaker 1: now I love It's a fun couch. Fun fact about

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Speaker 1: Craig Craig Newmark of Craigslist. Leonard Cohen was the rabbi

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Speaker 1: at his wedding. What that's like? V Leonard Cohen, Canadian singer, poet, songwriter,

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Speaker 1: Not Yes, this man was the rabbi at Craig's weddings influence. Oh.

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Speaker 1: A big thing about Craigslist now is um a lot

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Speaker 1: of office spaces are shutting down and also restaurants so

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Speaker 1: um many of them are giving away a lot of

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Speaker 1: stuff on Craigslist. So it's a particularly hot time things. Yeah. Well,

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Speaker 1: just like just like this pattern though too of like

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Speaker 1: businesses go bust and then like the people, you know,

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Speaker 1: we're like, is there stuff at affordable rates that we

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Speaker 1: can pick off this corpse. Another fun free thing that happened,

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Speaker 1: at least in l A was that the l A

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Speaker 1: Public Library forgave all late fees, so my library card

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Speaker 1: got reinstated. Oh go, congrats, Jamie. Yeah, so if you

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Speaker 1: accidentally stole a library by three years ago and then

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Speaker 1: got scared, you're back. You're back in business. I wish

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Speaker 1: Glendale would do that, then I could go there again.

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Speaker 1: Yeah right, what is something you think is overrated? S

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Speaker 1: are you? I would? I would? I would have to

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Speaker 1: say our president Donald Trump, Oh wow, we're not right. Whoa, whoa, whoa? Okay,

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Speaker 1: all right, cutter Mike off. You know feel like he

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Speaker 1: doesn't even know what the funk he's talking about. No,

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Speaker 1: you don't know what because he's the president. I think

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Speaker 1: this is actually truly overrated because I just think that

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Speaker 1: we have like we're it's just become normalized to us,

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Speaker 1: and now it's it's so wild, like how badly he

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Speaker 1: fucked this COVID nineteen thing up. The fact that America

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Speaker 1: is the worst in the world and it's all because

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Speaker 1: of him, um is pretty it's a it's just completely

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Speaker 1: born out of ignorance, and even that's like that's what

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Speaker 1: makes it so fucked up in tragic, and I think

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Speaker 1: that's why half the time we just got to go

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Speaker 1: into our brains and like laugh this ship off as

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Speaker 1: we like go like just you know, spiral out, because

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Speaker 1: it's hard to even imagine that someone could do something

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Speaker 1: like that and be so inept at the causing people's

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Speaker 1: lives and then just try and be like, yo, dude,

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Speaker 1: I'm gonna spiked the football on this total victory on COVID. Yeah, um,

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Speaker 1: all right, I mean I know all of that's going

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Speaker 1: to be cut because we can't really come out here

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Speaker 1: and criticize the president, but I think it's just good

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Speaker 1: to get to get that off our chest. Stem alright, yeah, yeah,

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Speaker 1: so Dan, please cut that, and then, um, Jack, why

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Speaker 1: don't you say something they'll come back in right seamlessly,

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Speaker 1: so the listeners don't know. Sorry, June, what is a myth?

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Speaker 1: What's something you know to be false that people think

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Speaker 1: is true or vice versa. I know, and I have

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Speaker 1: known for some time that UM open plan offices are

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Speaker 1: actually really bad. Maybe rocking the boat a little bit

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Speaker 1: here with my hot take, but open plan offices are

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Speaker 1: the worst thing to happen to offices since offices were invented. UM.

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Speaker 1: Open plan offices are distracting for everybody. They do not

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Speaker 1: enhance creativity. All they do is make it so you're

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Speaker 1: you have to yell all the time because everybody is

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Speaker 1: talking and you have to yell over them. And now

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Speaker 1: I have been proven right by the coronavirus because it

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Speaker 1: turns out that UM a lot of companies are trying

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Speaker 1: to redesign their open plan offices because open plan office

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Speaker 1: is extremely conducive to writing diseases. Yeah, so now places

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Speaker 1: are trying to get like FLEXI at least basically sneeze

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Speaker 1: guards around every cubicle, you know, raising a half wall

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Speaker 1: to a higher wall transparently almost like a room, but

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Speaker 1: not quite. Here's I like, I don't want to like? Yeah,

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Speaker 1: it's like I don't want to like trigger gen X.

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Speaker 1: I know that gen X put a lot of effort

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Speaker 1: into hating cubicles, but like I funk with cubicles. I've

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Speaker 1: never had a problem with them. I like having my

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Speaker 1: own little space. And like it's called soundproofing. Also, like

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Speaker 1: the point of the cubicle is like you can't really

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Speaker 1: hear people that well, right, Like it's because there's like

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Speaker 1: natural baffling in the panels of your cubicle. And and

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Speaker 1: I mean this is maybe a more but like you

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Speaker 1: don't I don't like having a coworker having such I

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Speaker 1: don't like knowing what's going on in the tabs near

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Speaker 1: me because I'm always gonna looks and then they're always

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Speaker 1: looking at you, and then they're we're looking at your

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Speaker 1: tabs and no one wants to know what. I just

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Speaker 1: want to look at ear rings that I'm not going

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Speaker 1: to buy, right, That's the fun thing about is like

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Speaker 1: rush me okay, oh yeah, well I think that's those

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Speaker 1: are all the you know, the the office. It's funny

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Speaker 1: because the office used to be like the pinnacle of

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Speaker 1: like doing it. You're like I got an office, you

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Speaker 1: know what I mean, Like I'm my own door and ship.

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Speaker 1: And then there was this like swing where it's like

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Speaker 1: you know, that's like for that's like for Grandpa, Like

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Speaker 1: you know, like let's just kind of let's make it

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Speaker 1: like kindergarten, but with desks and way more stress. What

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Speaker 1: if the kids went in the cubbies. So if they

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Speaker 1: want just like clear sneeze guards so that you're like

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Speaker 1: in a little to be able to see each other

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Speaker 1: Jamie screen. See, it doesn't solve the tab issues. See,

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Speaker 1: we need a pad guard. I'm not I'm not advocating

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Speaker 1: for transparent taps through a sneeze guard is a nightmare

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Speaker 1: that would make you feel I think even more of

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Speaker 1: like a prisoner that you already dealing with the tab

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00:21:06,600 --> 00:21:09,000
Speaker 1: thing and people can see into your tab. Now you're

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00:21:09,000 --> 00:21:13,399
Speaker 1: in this like plexiglass menagerie. Seeing the tabs makes me

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00:21:13,560 --> 00:21:15,480
Speaker 1: brings out an ugly side of me because then I

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Speaker 1: just like i'd like I started texting my friend being

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00:21:19,400 --> 00:21:23,120
Speaker 1: like this fucking they're oh, they're just on eBay dot com.

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00:21:23,320 --> 00:21:25,840
Speaker 1: And then like I'm also on eBay dot com, but

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00:21:26,000 --> 00:21:34,440
Speaker 1: I'm just like fucking this MF is checking Twitter, they're

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00:21:34,480 --> 00:21:38,280
Speaker 1: looking they're looking for Drusilla from Buffy Merch, Like, what

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Speaker 1: the fuck? Why Drusilla? I don't want anyone to know

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Speaker 1: what's going on in my eBay. Yeah, I think I

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Speaker 1: think your desktop should be private. I think it's a

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Speaker 1: man's right to have nobody looking at his desktop. That's

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Speaker 1: the Zoom anxiety too, of like people are sharing their

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Speaker 1: desktops on Zoom, and I like every time, I would never,

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Speaker 1: I would never. You're just like every time I get

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Speaker 1: in this situation where somebody has to share screens with me,

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Speaker 1: I put all of my ship that's on my desktop

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Speaker 1: into a new folder and I titled Epstein Theories. So

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Speaker 1: it just looks like there's nothing on my desktop. It's

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Speaker 1: totally clean except for this one little folder. Make multiple

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Speaker 1: Epstein theory V one, Epstein Theory v two, Epstein Theories

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00:22:24,280 --> 00:22:31,520
Speaker 1: v three, v four. General, In a general sense, people

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Speaker 1: who share their screen with you on Zoom have no

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Speaker 1: inner life and nothing to fear or a work computer

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Speaker 1: that's separate from right. Yeah, the only time I've done

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Speaker 1: a screen share is for work. Other times I think,

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Speaker 1: like Zoom it's weird. I don't like to use Zoom

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Speaker 1: all the time to like interact. Sometimes I use Google hangouts,

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00:22:51,800 --> 00:22:54,800
Speaker 1: like with certain friend groups, just to feel like it's

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Speaker 1: like Zoom has become my home to where it's like, oh,

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Speaker 1: I can't have my work and my pleasure blur are

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Speaker 1: into one app. Now, Yeah, you have to delineate somehow

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00:23:04,680 --> 00:23:07,600
Speaker 1: between things that are the same. Yeah, alright, guys, let's

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00:23:07,600 --> 00:23:09,440
Speaker 1: take a quick break and we'll come back and talk

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00:23:09,800 --> 00:23:25,520
Speaker 1: about the news. And we're back and um, there there's

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Speaker 1: rumblings that Trump is going to start questioning the death count,

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Speaker 1: the death toll of the coronavirus. There's a little bit

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Speaker 1: more detail on that. Uh. An Axios article that talk

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Speaker 1: to an administration official was saying that there their theory

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00:23:44,600 --> 00:23:48,560
Speaker 1: is going to be that hospitals are getting money for

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Speaker 1: any time somebody passes away from COVID nineteen and so

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Speaker 1: they're saying they're like financially incentivized to exaggerate the death count.

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00:23:58,840 --> 00:24:03,760
Speaker 1: But that what what they're accusing them of is fraud

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00:24:04,040 --> 00:24:07,520
Speaker 1: and like extremely illegal and is not just like an

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00:24:07,600 --> 00:24:12,360
Speaker 1: incidental thing. It would be like definitely worth uh stopping

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Speaker 1: everything to investigate if they thought that's what was happening. Um, yeah,

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00:24:16,520 --> 00:24:20,760
Speaker 1: you know, because medical businesses and facilities are notorious for

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Speaker 1: not trying to safeguard against any kind of lawsuit or

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Speaker 1: malpractice anything. So yeah that I can see this going

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Speaker 1: rampant and just being like, yeah, we'll just uh, we'll

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Speaker 1: just fake a bunch of death certificates. Yeah yeah. Um.

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Speaker 1: And the people who aren't members of the Trump administration,

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Speaker 1: the experts actually think the COVID nineteen death count is

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Speaker 1: probably up over a hundred thousand, just using the uh

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Speaker 1: process of like here's how many people typically die this month. Uh,

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Speaker 1: and here's how many people have died this year, and

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Speaker 1: it's up a hundred thousand over what where it's been

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Speaker 1: in the past, or even more than that. The process

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Speaker 1: you're describing, I believes just called observation. Yeah yeah, I

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00:25:12,560 --> 00:25:14,639
Speaker 1: mean yeah, there there there. There has to be a

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00:25:14,720 --> 00:25:17,720
Speaker 1: counter narrative for every single thing, you know, if there

397
00:25:17,760 --> 00:25:19,760
Speaker 1: there has to be a a finger at a point

398
00:25:19,880 --> 00:25:21,520
Speaker 1: or someone to say, well, it's actually not us, it's

399
00:25:21,520 --> 00:25:24,240
Speaker 1: actually this other thing. And if this is there, I

400
00:25:24,320 --> 00:25:26,000
Speaker 1: guess they're trying to test this one. I don't know

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00:25:26,119 --> 00:25:28,119
Speaker 1: how many people are going to be like, yeah that

402
00:25:28,600 --> 00:25:33,119
Speaker 1: those fucking hospitals what got It's it's hard for me

403
00:25:33,160 --> 00:25:35,600
Speaker 1: to connect how you can really get someone energized about that,

404
00:25:35,680 --> 00:25:38,960
Speaker 1: except for maybe like delay some other kind of scathing

405
00:25:39,280 --> 00:25:42,520
Speaker 1: leak for like a couple of hours or days or something. Yeah,

406
00:25:42,640 --> 00:25:44,720
Speaker 1: they'll find a way. It seems like it seems like

407
00:25:44,840 --> 00:25:48,719
Speaker 1: they've always found a way to justify, you know, sticking

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00:25:48,800 --> 00:25:53,280
Speaker 1: by the president. And you know, because if it's just

409
00:25:53,440 --> 00:25:57,440
Speaker 1: a matter of sticking it to the liberals, then they

410
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Speaker 1: will do it. You know, anything is preferable over just

411
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Speaker 1: letting the people on the left side. I told you so.

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Speaker 1: I think, well, the c d C, which is a

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Speaker 1: government organization that's actually paying attention to how science works,

414
00:26:14,960 --> 00:26:20,800
Speaker 1: is right. Even so they were they had enough people

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Speaker 1: to put together some guidance for the country on how

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Speaker 1: to uh just begin reopening in a way that considers

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Speaker 1: people's health and not killing people. Interesting what's necessary, you know,

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00:26:34,320 --> 00:26:38,560
Speaker 1: because there's so much like competing takes and opinions on

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Speaker 1: what to do or what not to do, and having

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00:26:41,240 --> 00:26:44,280
Speaker 1: something from like this c d C would be good

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Speaker 1: where there's like, hey, every state, this is what our

422
00:26:47,080 --> 00:26:50,359
Speaker 1: top you know, the our disease experts are saying, this

423
00:26:50,600 --> 00:26:53,720
Speaker 1: is the fucking playbook for the nation. If you do

424
00:26:53,840 --> 00:26:56,840
Speaker 1: not fucking do this then you are not safe, and

425
00:26:57,000 --> 00:26:59,879
Speaker 1: people should know that with this the you know, the

426
00:27:00,119 --> 00:27:02,480
Speaker 1: verified check mark of the CDC on this thing, that

427
00:27:02,560 --> 00:27:06,520
Speaker 1: you can hopefully trust this information. The problem is there's

428
00:27:06,600 --> 00:27:10,400
Speaker 1: information in this pamphlet that they put together that would

429
00:27:10,480 --> 00:27:14,240
Speaker 1: basically make people feel unsafe. So the White House decided

430
00:27:14,280 --> 00:27:16,639
Speaker 1: to shelve the fucking thing and told them that this

431
00:27:17,119 --> 00:27:19,840
Speaker 1: this document would not see the light of day, is

432
00:27:19,920 --> 00:27:22,919
Speaker 1: what one source at the CDC said. An administration official

433
00:27:23,000 --> 00:27:27,400
Speaker 1: told them when they asked to like get the funk

434
00:27:27,440 --> 00:27:30,359
Speaker 1: out of here. Luckily, you know, this was leaked to

435
00:27:30,440 --> 00:27:32,200
Speaker 1: the a P. So we have a look at what

436
00:27:32,400 --> 00:27:35,640
Speaker 1: this thing looks like, and it makes sense. Basically, they're

437
00:27:35,680 --> 00:27:41,080
Speaker 1: trying to make a very you know, very reasonable practical

438
00:27:41,280 --> 00:27:44,040
Speaker 1: plan on how to maintain safety in the workplace, to

439
00:27:44,119 --> 00:27:47,000
Speaker 1: ensure the safety of your employees or patrons, whatever that

440
00:27:47,160 --> 00:27:50,439
Speaker 1: case is, because we're dealing with what's clearly something deadly

441
00:27:50,960 --> 00:27:53,960
Speaker 1: um and all of that in there is also probably

442
00:27:54,000 --> 00:27:56,639
Speaker 1: going to communicate to people, oh no, the guidelines in

443
00:27:56,760 --> 00:27:58,880
Speaker 1: here is not even close to what my boss is doing.

444
00:27:58,960 --> 00:28:01,560
Speaker 1: And I'm supposed to be bad. I cant work right

445
00:28:01,720 --> 00:28:04,879
Speaker 1: to the point because if if we don't know what's safe,

446
00:28:05,160 --> 00:28:08,040
Speaker 1: then we don't know what's deadly. And that's the problem.

447
00:28:08,160 --> 00:28:11,159
Speaker 1: And so when you can obscure the safety guidelines, then

448
00:28:11,200 --> 00:28:13,400
Speaker 1: you don't you have no fucking clue, Like you don't.

449
00:28:13,440 --> 00:28:15,639
Speaker 1: I don't know that that seems fine, But this is

450
00:28:16,280 --> 00:28:18,840
Speaker 1: like just reading it through the little excerpts that are

451
00:28:18,880 --> 00:28:22,600
Speaker 1: out there. I mean, it's if I were a Republican governor,

452
00:28:22,640 --> 00:28:24,680
Speaker 1: I would be being like, not only people see this

453
00:28:24,720 --> 00:28:26,879
Speaker 1: because we're not coming close to doing any of this.

454
00:28:26,920 --> 00:28:28,560
Speaker 1: Ship Well that's the thing is Yeah, I feel like

455
00:28:28,640 --> 00:28:30,680
Speaker 1: it comes down to like a state by state thing too.

456
00:28:30,760 --> 00:28:34,240
Speaker 1: If like something that's been throwing me as things start

457
00:28:34,359 --> 00:28:37,680
Speaker 1: to slowly reopen, is like it's going to be such

458
00:28:37,720 --> 00:28:41,120
Speaker 1: a different story for every state depending on how severely

459
00:28:41,200 --> 00:28:44,800
Speaker 1: they dropped the ball, and so like I don't know,

460
00:28:44,880 --> 00:28:47,040
Speaker 1: I mean, I I like what this is generally, like

461
00:28:47,240 --> 00:28:50,040
Speaker 1: what this pamphlet is generally saying of, like this is

462
00:28:50,080 --> 00:28:52,440
Speaker 1: the bare minimum that needs to happen. But then there

463
00:28:52,480 --> 00:28:55,560
Speaker 1: are some states and I feel like I'm like anticipating

464
00:28:55,600 --> 00:28:59,920
Speaker 1: a lot of like confusion and like misinterpretation of like, well,

465
00:29:00,120 --> 00:29:03,440
Speaker 1: who gets to do this first? And how clearly is

466
00:29:03,480 --> 00:29:05,840
Speaker 1: that being communicated to the different states because it's like,

467
00:29:06,200 --> 00:29:08,840
Speaker 1: I don't know even in my own family, like their

468
00:29:09,000 --> 00:29:13,840
Speaker 1: state is funked up significantly more than California. So we're

469
00:29:13,880 --> 00:29:17,520
Speaker 1: living in completely different universes, but like they're not being

470
00:29:17,600 --> 00:29:22,000
Speaker 1: communicated to effectively. So I've not even really been talking

471
00:29:22,080 --> 00:29:24,640
Speaker 1: about California because I'm like, well, you can't. You can't

472
00:29:24,680 --> 00:29:27,240
Speaker 1: really do that. I don't know, right. I think when

473
00:29:27,280 --> 00:29:29,120
Speaker 1: you look at the flow chart, right, it's made to

474
00:29:29,200 --> 00:29:33,280
Speaker 1: just provide like obviously context matters, but they're they're laying

475
00:29:33,320 --> 00:29:35,320
Speaker 1: it out in a way that it can make sense

476
00:29:35,400 --> 00:29:37,440
Speaker 1: no matter where you live, because it's just saying like,

477
00:29:37,800 --> 00:29:40,080
Speaker 1: have these have this? Has this criteria been met? Then

478
00:29:40,160 --> 00:29:42,320
Speaker 1: go to the next step. Has this criteria ever been met?

479
00:29:42,440 --> 00:29:44,440
Speaker 1: Then go to the next step. If not, all roads

480
00:29:44,520 --> 00:29:47,400
Speaker 1: leave to stay fucking closed, or it'll say, hey, open

481
00:29:47,480 --> 00:29:49,760
Speaker 1: and monitors. So the first thing it asked step one,

482
00:29:49,800 --> 00:29:53,040
Speaker 1: should you consider opening? First question is the workplace in

483
00:29:53,080 --> 00:29:56,840
Speaker 1: a community no longer requiring significant mitigation. I think that's

484
00:29:56,840 --> 00:29:59,520
Speaker 1: a great boom you can figure out very easily if

485
00:29:59,560 --> 00:30:01,080
Speaker 1: that apply yes to you, and you don't have to

486
00:30:01,120 --> 00:30:03,080
Speaker 1: be like, well I'm not in New York City. Great

487
00:30:03,440 --> 00:30:05,960
Speaker 1: next step will reopening b in compliance with state and

488
00:30:06,040 --> 00:30:09,600
Speaker 1: local orders. Will you be also ready to protect employees

489
00:30:09,680 --> 00:30:12,520
Speaker 1: at higher risk for severe illness? If you answer no

490
00:30:12,640 --> 00:30:15,480
Speaker 1: to any of these questions, do not open. Then another

491
00:30:15,640 --> 00:30:17,960
Speaker 1: flow chart says if you answered yes to all of these,

492
00:30:18,200 --> 00:30:20,000
Speaker 1: go to the next step, And then it's saying this

493
00:30:20,120 --> 00:30:21,680
Speaker 1: is what you need to do in your workplace. So

494
00:30:22,200 --> 00:30:26,120
Speaker 1: it's like really easy to follow. And if I read

495
00:30:26,160 --> 00:30:28,640
Speaker 1: it as an employee, I would be like, okay, good,

496
00:30:28,880 --> 00:30:31,920
Speaker 1: Like if they're having to abide by this, it's like, Okay,

497
00:30:31,960 --> 00:30:34,680
Speaker 1: we're not in an area that is severely at risk

498
00:30:34,800 --> 00:30:37,480
Speaker 1: or with a rising number of cases. And they're also

499
00:30:37,560 --> 00:30:40,760
Speaker 1: doing things like putting up barriers and deep cleaning and

500
00:30:40,800 --> 00:30:44,360
Speaker 1: these other things. Like I could start seeing myself relax

501
00:30:44,400 --> 00:30:49,440
Speaker 1: a bit, especially because this is coming from experts, right,

502
00:30:49,520 --> 00:30:52,840
Speaker 1: I mean, I guess my other question there is like,

503
00:30:54,280 --> 00:30:58,040
Speaker 1: just because I don't always trust workplaces to uh, you know,

504
00:30:58,200 --> 00:31:02,800
Speaker 1: consider their employees, how is like or what you know,

505
00:31:02,960 --> 00:31:07,520
Speaker 1: like if what is the consequence for opening a business

506
00:31:07,600 --> 00:31:09,720
Speaker 1: that is not safe? And what is the consequence for

507
00:31:10,120 --> 00:31:14,360
Speaker 1: employers that are not protecting their employees? Actually on page one,

508
00:31:14,400 --> 00:31:17,280
Speaker 1: there is a caveat that says uh, this handbook is

509
00:31:17,480 --> 00:31:20,600
Speaker 1: used with the presupposition that the reader does have a

510
00:31:20,760 --> 00:31:25,600
Speaker 1: soul there. So oh okay, so nothing's going to real.

511
00:31:25,680 --> 00:31:31,080
Speaker 1: I mean very few places will reopen. Uh yeah, yeah,

512
00:31:31,280 --> 00:31:36,960
Speaker 1: very very few places should reopen. Yeah, well, it's just yeah,

513
00:31:37,360 --> 00:31:40,480
Speaker 1: it goes on to say, you know, like obviously barriers,

514
00:31:40,640 --> 00:31:43,320
Speaker 1: Like it's not just like businesses, it's like stuff for

515
00:31:43,440 --> 00:31:45,720
Speaker 1: like what mass transit needs to look like, what a

516
00:31:45,840 --> 00:31:48,320
Speaker 1: daycare center needs to look like, what a summer camp

517
00:31:48,360 --> 00:31:51,840
Speaker 1: should look like, a church, a restaurant, like this is

518
00:31:51,920 --> 00:31:53,640
Speaker 1: really the kind of thing where you're like, I would

519
00:31:53,720 --> 00:31:56,720
Speaker 1: love to know what they think is safe. But again,

520
00:31:57,120 --> 00:31:59,640
Speaker 1: because there's a line in there that basically says, you know,

521
00:32:00,120 --> 00:32:02,880
Speaker 1: we need sneezeguards at cash registers and you can forget

522
00:32:02,920 --> 00:32:07,240
Speaker 1: about fucking buffets or salad bars. You that's a whole

523
00:32:07,480 --> 00:32:10,320
Speaker 1: I can only imagine the you know, the the owners

524
00:32:10,400 --> 00:32:15,240
Speaker 1: of the hometown's buffets, the Golden Corrals pulling up to

525
00:32:15,320 --> 00:32:17,240
Speaker 1: the White House with bags of cash being like no

526
00:32:17,360 --> 00:32:19,840
Speaker 1: on a fucking dead that or what do you need?

527
00:32:20,160 --> 00:32:22,200
Speaker 1: What do you need to create an exemption? But the

528
00:32:22,320 --> 00:32:24,560
Speaker 1: problem is when you have the CDC saying out here,

529
00:32:24,600 --> 00:32:27,040
Speaker 1: like with their expert opinion, you do not want to

530
00:32:27,120 --> 00:32:30,040
Speaker 1: have communal food troughs that people are eating out of

531
00:32:30,200 --> 00:32:33,040
Speaker 1: at all. No, just cut that. Then you, of course

532
00:32:33,120 --> 00:32:35,560
Speaker 1: that these people are too concerned about the bottom line

533
00:32:35,600 --> 00:32:40,120
Speaker 1: in capital than human safety. Big jello trough is too powerful.

534
00:32:41,840 --> 00:32:44,760
Speaker 1: It's that chocolate fountour of the corral to the to

535
00:32:44,880 --> 00:32:48,280
Speaker 1: the senior set. The moment when Laura Ingram was talking

536
00:32:48,320 --> 00:32:52,440
Speaker 1: about how masks make you feel not safe, I feel

537
00:32:52,520 --> 00:32:54,680
Speaker 1: like just keeps popping up in my head like that

538
00:32:54,960 --> 00:32:58,920
Speaker 1: just seems to represent an entire part of not just

539
00:32:59,080 --> 00:33:03,440
Speaker 1: the populace but the government to that, like even like

540
00:33:03,600 --> 00:33:07,600
Speaker 1: the things the bare minimum for safety in our society

541
00:33:07,640 --> 00:33:12,280
Speaker 1: and is being ship caned because it doesn't look good

542
00:33:12,520 --> 00:33:16,320
Speaker 1: or make you feel good. Yeah, it's just like depressing,

543
00:33:16,760 --> 00:33:22,160
Speaker 1: Like this is the absolute least that anyone could do

544
00:33:22,960 --> 00:33:27,560
Speaker 1: in terms of like getting good information to workers and

545
00:33:27,680 --> 00:33:30,880
Speaker 1: business people. Like it's such basic common sense stuff and

546
00:33:31,000 --> 00:33:34,040
Speaker 1: it can't even get released. It's yeah, I mean, what

547
00:33:34,120 --> 00:33:36,840
Speaker 1: do you guys think about the idea that, Like the

548
00:33:37,080 --> 00:33:39,000
Speaker 1: argument I don't have to wear a mask if I

549
00:33:39,040 --> 00:33:42,440
Speaker 1: don't want to is kind of one of the founding

550
00:33:42,560 --> 00:33:48,440
Speaker 1: values of this country. I think it views on how

551
00:33:48,520 --> 00:33:51,240
Speaker 1: you look at it. It's just basically it's not I

552
00:33:51,440 --> 00:33:54,080
Speaker 1: don't look at it because I feel that someone's telling

553
00:33:54,160 --> 00:33:56,000
Speaker 1: me to do it. I'm doing that, I just out

554
00:33:56,040 --> 00:33:59,120
Speaker 1: of consideration, because I would just want to know as

555
00:33:59,160 --> 00:34:03,480
Speaker 1: a baseline and societal e that were like, yeah, it's

556
00:34:03,520 --> 00:34:06,280
Speaker 1: not just about what the funk I want to do, Um,

557
00:34:06,440 --> 00:34:08,799
Speaker 1: it's what it's it's just about what's good for other people.

558
00:34:08,840 --> 00:34:10,759
Speaker 1: I think when you look at it, it's like they're

559
00:34:10,800 --> 00:34:13,960
Speaker 1: trying to tell me that I can't go all fucking

560
00:34:14,080 --> 00:34:17,280
Speaker 1: naked faced out there, that you're missing the fucking point.

561
00:34:17,360 --> 00:34:20,239
Speaker 1: And I think that's I don't know. I mean I

562
00:34:20,520 --> 00:34:22,520
Speaker 1: understand though, like like what what the fund can you

563
00:34:22,640 --> 00:34:24,319
Speaker 1: tell me this is a free country, But like, let's

564
00:34:24,360 --> 00:34:27,040
Speaker 1: be real, if you really play that out there, nothing

565
00:34:27,200 --> 00:34:29,800
Speaker 1: nothing's fucking free here. You have no freedom. You know what.

566
00:34:30,800 --> 00:34:34,279
Speaker 1: It reminds me of the like First Amendment. Uh, you know,

567
00:34:34,400 --> 00:34:36,840
Speaker 1: we have free speech, but we can't shout fire in

568
00:34:36,880 --> 00:34:41,680
Speaker 1: a crowded theater type thing. Like you're everything's good in

569
00:34:41,840 --> 00:34:45,040
Speaker 1: theory until it comes to, you know, doing something that

570
00:34:45,280 --> 00:34:49,240
Speaker 1: could kill lots of people, at which point funk your theories.

571
00:34:53,440 --> 00:34:56,080
Speaker 1: That's why it's that's why it's so convenient that COVID

572
00:34:56,200 --> 00:34:58,960
Speaker 1: is like over now. You know, it's nice that we

573
00:34:59,440 --> 00:35:01,880
Speaker 1: took care of it, and you know, people can just

574
00:35:02,000 --> 00:35:06,600
Speaker 1: go back to their businesses and you know, unemployment doesn't

575
00:35:06,640 --> 00:35:08,879
Speaker 1: have to give so many people unemployment because it would

576
00:35:08,920 --> 00:35:12,080
Speaker 1: suck if COVID were just to keep going and and

577
00:35:12,520 --> 00:35:15,839
Speaker 1: spreading and uh and people just had to go back

578
00:35:15,880 --> 00:35:20,239
Speaker 1: to work because otherwise they had no income because unemployment

579
00:35:20,440 --> 00:35:24,759
Speaker 1: deemed they're already lifted able to you know, any any term,

580
00:35:25,000 --> 00:35:27,720
Speaker 1: like any eviction freezes are already starting to get lifted

581
00:35:27,960 --> 00:35:32,000
Speaker 1: and all that bullshit. That was. Yeah, one thing that

582
00:35:32,200 --> 00:35:34,480
Speaker 1: was very interesting to me about UM. I saw this

583
00:35:34,640 --> 00:35:38,279
Speaker 1: article about one of the protests in like Huntington Beach,

584
00:35:38,360 --> 00:35:41,120
Speaker 1: one of the reopened protests UM and most of the

585
00:35:41,160 --> 00:35:44,759
Speaker 1: people there were kind of like from Jefferson County, from

586
00:35:44,800 --> 00:35:46,680
Speaker 1: the state of Jefferson, and they had all these stated

587
00:35:46,760 --> 00:35:49,640
Speaker 1: Jeffers in shirts and like that's really far north, that's

588
00:35:49,680 --> 00:35:54,040
Speaker 1: not in Huntington Beach, but that's definitely not a bad

589
00:35:54,160 --> 00:35:58,040
Speaker 1: boys and they have you look, they have plenty of

590
00:35:58,160 --> 00:36:00,360
Speaker 1: sucking right wingers in the OC. They don't need to

591
00:36:00,360 --> 00:36:02,560
Speaker 1: be according them, from the state of Jefferson. But they

592
00:36:02,600 --> 00:36:04,759
Speaker 1: have too much money to want to Like they're like, well,

593
00:36:05,080 --> 00:36:08,400
Speaker 1: I also, can I have enough disposable income. I'll just

594
00:36:08,520 --> 00:36:12,000
Speaker 1: keep getting everything delivered. I'll just let the poor racists

595
00:36:12,120 --> 00:36:17,319
Speaker 1: handle this one. Yeah. Um, but what people were saying

596
00:36:17,360 --> 00:36:22,560
Speaker 1: that we're quoted in that was, um that uh that

597
00:36:22,760 --> 00:36:25,120
Speaker 1: there are a few people quoted who were like, I

598
00:36:25,200 --> 00:36:27,000
Speaker 1: had to shut down my business. The government made me

599
00:36:27,040 --> 00:36:31,120
Speaker 1: shut down by my business, and um, I'm running out

600
00:36:31,120 --> 00:36:35,560
Speaker 1: of money and I don't want to take welfare, like

601
00:36:35,920 --> 00:36:38,680
Speaker 1: and that really through me that these people were not

602
00:36:38,840 --> 00:36:40,880
Speaker 1: at the point where they were. They weren't even at

603
00:36:40,920 --> 00:36:42,800
Speaker 1: the point of like I've tried to get unemployment and

604
00:36:42,880 --> 00:36:44,759
Speaker 1: I can't, which is like a situation a lot of

605
00:36:44,800 --> 00:36:47,319
Speaker 1: people are in, you know, they're like, I haven't even

606
00:36:47,360 --> 00:36:52,400
Speaker 1: applied because I think it's morally bad to take government welfare.

607
00:36:52,680 --> 00:36:55,880
Speaker 1: And I was like, Okay, this is like really a choice,

608
00:36:56,080 --> 00:36:58,520
Speaker 1: this is really really a choice. That's a motherfucker though.

609
00:36:58,560 --> 00:37:02,480
Speaker 1: When you're like, because then I be brown, Yes, Like

610
00:37:02,640 --> 00:37:05,200
Speaker 1: that's sort of like the the idea or the concept

611
00:37:05,280 --> 00:37:07,680
Speaker 1: of a person who needs help. It's just been it's

612
00:37:07,719 --> 00:37:11,600
Speaker 1: been so vilified and dehumanized in their mind they have.

613
00:37:11,680 --> 00:37:14,759
Speaker 1: Now the next logical step is, well, then if I

614
00:37:14,960 --> 00:37:17,200
Speaker 1: need help, then I am a sub human. So I'm

615
00:37:17,239 --> 00:37:19,640
Speaker 1: about to come out here and put guns in people's

616
00:37:19,680 --> 00:37:22,680
Speaker 1: faces and demand on my sandwich store opens back up. Yeah,

617
00:37:22,840 --> 00:37:24,440
Speaker 1: And I think if all these deaths are just like

618
00:37:24,520 --> 00:37:28,640
Speaker 1: the necessary cost of having the country that I think

619
00:37:28,719 --> 00:37:31,279
Speaker 1: we have, which is one where I don't ever have

620
00:37:31,480 --> 00:37:34,680
Speaker 1: to be that subhuman person who who needs help from

621
00:37:34,719 --> 00:37:38,520
Speaker 1: the from the collective. Well, that mindset also feels very

622
00:37:38,600 --> 00:37:43,640
Speaker 1: connected to like a shame reaction to of like you're

623
00:37:43,680 --> 00:37:47,480
Speaker 1: taught like if you need to accept help from anyone,

624
00:37:47,880 --> 00:37:52,000
Speaker 1: it is like, yeah, like you have somehow failed. It's

625
00:37:52,040 --> 00:37:54,440
Speaker 1: not that you could possibly be failed by a system.

626
00:37:54,800 --> 00:37:57,560
Speaker 1: You have personally have failed and you suck, and like

627
00:37:57,719 --> 00:38:01,520
Speaker 1: you should have to suffer the consequences of you personally sucking.

628
00:38:02,400 --> 00:38:05,480
Speaker 1: But yeah, I don't know. That's like an old people

629
00:38:05,600 --> 00:38:07,759
Speaker 1: thing too, Like I don't know some of these old

630
00:38:07,760 --> 00:38:10,120
Speaker 1: people out here who are getting like furloughed there like

631
00:38:10,400 --> 00:38:13,320
Speaker 1: it's somehow I did this to myself And you're like

632
00:38:13,520 --> 00:38:15,800
Speaker 1: look around, like you did not do this. Do you

633
00:38:16,080 --> 00:38:19,680
Speaker 1: know you're doing Or they're like I should be able

634
00:38:19,760 --> 00:38:23,520
Speaker 1: to get through this. I should be able to overcome this,

635
00:38:24,800 --> 00:38:29,400
Speaker 1: Like dude, weird proby. Nobody is like dying from COVID

636
00:38:29,560 --> 00:38:31,759
Speaker 1: because they didn't want to live enough, you know, like

637
00:38:32,000 --> 00:38:35,760
Speaker 1: nobody's out there being like, ah, yeah, this is fine,

638
00:38:35,840 --> 00:38:37,840
Speaker 1: this is fine. I'm fine with this, you know, like

639
00:38:37,960 --> 00:38:39,880
Speaker 1: I'm just tired, just like let it take me. Like

640
00:38:40,360 --> 00:38:43,240
Speaker 1: it's not something that you can overcome with your fucking mind.

641
00:38:44,239 --> 00:38:47,759
Speaker 1: Like that's just like bad American dream mentality. That is

642
00:38:48,040 --> 00:38:51,680
Speaker 1: just like it doesn't work. People talk about like he's

643
00:38:51,719 --> 00:38:54,520
Speaker 1: a fighter. He's really like I know he's not going

644
00:38:54,560 --> 00:38:57,960
Speaker 1: to die because he's a fighter, like about Boris Johnson

645
00:38:58,040 --> 00:39:00,439
Speaker 1: and ship and it's just like, well, do you really

646
00:39:00,480 --> 00:39:02,800
Speaker 1: know that doesn't have anything to do with that or

647
00:39:03,040 --> 00:39:07,520
Speaker 1: is it just a lucky you know, he's a fighter.

648
00:39:07,600 --> 00:39:10,319
Speaker 1: Remember when he was about this disease. He's such a fighter.

649
00:39:10,360 --> 00:39:12,080
Speaker 1: Remember when he was screaming the N word at that

650
00:39:12,160 --> 00:39:14,800
Speaker 1: high school basketball game and then he fought the security

651
00:39:14,840 --> 00:39:16,680
Speaker 1: guards when they told him to leave because of his

652
00:39:16,840 --> 00:39:21,040
Speaker 1: racist behavior. He's a fighter. I mean. The other really

653
00:39:21,120 --> 00:39:23,600
Speaker 1: disturbing thing about all the decisions that are driving this

654
00:39:23,760 --> 00:39:26,880
Speaker 1: behavior are these models that the White House is using

655
00:39:27,000 --> 00:39:28,879
Speaker 1: and we're going to talk about this earlier this week,

656
00:39:28,920 --> 00:39:32,000
Speaker 1: but just very quickly, right, they're all kinds of competing

657
00:39:32,040 --> 00:39:34,359
Speaker 1: models looking at like what the death toll could look

658
00:39:34,440 --> 00:39:36,840
Speaker 1: like based on certain mitigation levels and things like that.

659
00:39:36,960 --> 00:39:38,560
Speaker 1: And there was like a huge there was a story

660
00:39:38,640 --> 00:39:40,040
Speaker 1: earlier in the week where Trump was just like in

661
00:39:40,120 --> 00:39:42,719
Speaker 1: total denial about how those numbers were going to play

662
00:39:42,760 --> 00:39:46,480
Speaker 1: out given the reopening of the country, and like the

663
00:39:47,040 --> 00:39:52,160
Speaker 1: White House seems to really love this one very specific model,

664
00:39:52,400 --> 00:39:55,200
Speaker 1: which is from the University of Washington Institute for Health

665
00:39:55,360 --> 00:39:58,560
Speaker 1: Metrics and Evaluation. That's the i h M E models

666
00:39:58,880 --> 00:40:01,360
Speaker 1: they use that pretty frequent me and that's typically like

667
00:40:01,560 --> 00:40:05,600
Speaker 1: the peacheyest model that of all the models out there

668
00:40:05,719 --> 00:40:07,680
Speaker 1: that sort of see what the death toll could be,

669
00:40:08,440 --> 00:40:11,319
Speaker 1: that model has had to be changed like already three

670
00:40:11,440 --> 00:40:15,000
Speaker 1: times because people and the politicians are refusing to take

671
00:40:15,080 --> 00:40:17,799
Speaker 1: social distancing seriously. And every time they said, like, yeah,

672
00:40:17,800 --> 00:40:19,840
Speaker 1: if we do this, it's low and then we celebrate

673
00:40:19,880 --> 00:40:22,000
Speaker 1: and then people go outside like you funked it up.

674
00:40:22,080 --> 00:40:24,640
Speaker 1: Now it's this, and now it's this. And it was

675
00:40:25,000 --> 00:40:28,719
Speaker 1: what I think their most least recent correction was going

676
00:40:28,760 --> 00:40:32,080
Speaker 1: from sixty thousand deaths by August first to nearly one

677
00:40:32,560 --> 00:40:36,560
Speaker 1: thirty five thousand m hm. And this is the model

678
00:40:36,719 --> 00:40:40,520
Speaker 1: that the President uses to justify this to other governors

679
00:40:40,920 --> 00:40:44,000
Speaker 1: and people and good little corporatists like Governor Abbott and

680
00:40:44,080 --> 00:40:46,759
Speaker 1: Governor Reynolds from Texas and Iowa, respectively, who are going

681
00:40:46,800 --> 00:40:48,319
Speaker 1: to go to the White House to get their hair

682
00:40:48,400 --> 00:40:52,560
Speaker 1: tussled for reopening the ship. Um. But what's wild, though,

683
00:40:52,880 --> 00:40:55,319
Speaker 1: is that the White House is using an even wackier

684
00:40:55,480 --> 00:40:59,360
Speaker 1: model which has been made by this economic advisor, Kevin

685
00:40:59,480 --> 00:41:04,200
Speaker 1: has It, who is not a science the most pure

686
00:41:04,280 --> 00:41:08,399
Speaker 1: science one exactly. I mean, he's not an epidemiologist, he's

687
00:41:08,400 --> 00:41:10,600
Speaker 1: not even someone who jerks off to pornos that are

688
00:41:10,640 --> 00:41:13,839
Speaker 1: set in medical facilities. Like, there's nothing I can't find

689
00:41:13,880 --> 00:41:16,200
Speaker 1: a way in for this person to connect the dots.

690
00:41:16,560 --> 00:41:19,520
Speaker 1: And he has his own model. He's been showing Trump

691
00:41:19,760 --> 00:41:23,600
Speaker 1: his own um which he calls a cubic model, and

692
00:41:23,880 --> 00:41:27,080
Speaker 1: that that model said that there would be zero deaths

693
00:41:27,440 --> 00:41:34,160
Speaker 1: or near zero deaths by May fift So, I mean,

694
00:41:34,239 --> 00:41:38,440
Speaker 1: this is the kind of ship that's going up. Fellow economy,

695
00:41:38,640 --> 00:41:43,040
Speaker 1: keep up with all these Like I wasn't even unaware

696
00:41:43,080 --> 00:41:45,400
Speaker 1: of that but that's the motor driving this, and this

697
00:41:45,560 --> 00:41:46,920
Speaker 1: is what they hold around to be like, this is

698
00:41:46,960 --> 00:41:48,560
Speaker 1: what our models are. I mean, that's that's what the

699
00:41:48,719 --> 00:41:52,200
Speaker 1: experts think. Um, this same guy, Kevin has It, Paul

700
00:41:52,280 --> 00:41:54,040
Speaker 1: Krugman like just took him down in an op ed.

701
00:41:54,200 --> 00:41:56,240
Speaker 1: Was just pointing out that in the mid two thousands,

702
00:41:56,280 --> 00:41:58,360
Speaker 1: has It denied that there was a housing bubble and

703
00:41:58,480 --> 00:42:02,120
Speaker 1: suggested that only liberal was believed that there was. Uh.

704
00:42:02,440 --> 00:42:07,120
Speaker 1: He was also uh in again one of those people

705
00:42:07,120 --> 00:42:09,080
Speaker 1: said the tax cuts would lead to a big boost

706
00:42:09,160 --> 00:42:12,600
Speaker 1: in business business investment, and when he was confronted with facts,

707
00:42:12,719 --> 00:42:16,719
Speaker 1: still insisted it did. So that's the kind of mentality

708
00:42:16,800 --> 00:42:21,239
Speaker 1: we have shaping the death toll modeling. Uh. In the

709
00:42:21,320 --> 00:42:23,879
Speaker 1: White House, like just to give you like that's it's

710
00:42:23,920 --> 00:42:27,600
Speaker 1: all just only tell me nice, nice, It's It's good

711
00:42:27,680 --> 00:42:30,320
Speaker 1: that the only thing this guy has ever been in

712
00:42:30,440 --> 00:42:34,080
Speaker 1: charge of is predicting what will happen, like gambling with money,

713
00:42:34,520 --> 00:42:38,160
Speaker 1: and now he's gambling with human lives and he's really

714
00:42:38,239 --> 00:42:41,239
Speaker 1: bad at it. Yeah, We're like, hey, you were really

715
00:42:41,280 --> 00:42:43,839
Speaker 1: bad at that. Why don't we give you something more?

716
00:42:43,960 --> 00:42:47,040
Speaker 1: We raised this stage, Why don't we take these skills

717
00:42:47,080 --> 00:42:51,000
Speaker 1: into a New Wheelhouse. Dude, this guy is so he

718
00:42:51,120 --> 00:42:54,160
Speaker 1: goes hell for leather though for these bad takes. In two,

719
00:42:54,680 --> 00:42:57,239
Speaker 1: he was also part of a group of conservative economists

720
00:42:57,239 --> 00:42:59,959
Speaker 1: who are saying that any kind of federal reserve bail

721
00:43:00,040 --> 00:43:03,080
Speaker 1: out was gonna fucking tank the currency currency lead to

722
00:43:03,160 --> 00:43:07,919
Speaker 1: currency debasement and inflation. Bloomberg came back like four years

723
00:43:08,000 --> 00:43:10,520
Speaker 1: later as things clearly went the other way to like

724
00:43:10,680 --> 00:43:13,879
Speaker 1: ask all the signatories of this like letter, like, hey,

725
00:43:14,000 --> 00:43:16,440
Speaker 1: what what happened there? You guys, you guys are out

726
00:43:16,440 --> 00:43:18,480
Speaker 1: there with the chest out? What then went down? Not

727
00:43:18,800 --> 00:43:21,160
Speaker 1: one of them was willing to admit having been wrong,

728
00:43:21,600 --> 00:43:25,920
Speaker 1: including so it's just like again, this guy's batting over

729
00:43:26,160 --> 00:43:30,480
Speaker 1: seven thousand and this is reliable somehow, let's put him

730
00:43:30,480 --> 00:43:33,800
Speaker 1: in charge of the Well. It is very cubic, and

731
00:43:34,000 --> 00:43:35,960
Speaker 1: that sounds you know, it's the kind of thing that

732
00:43:36,040 --> 00:43:38,000
Speaker 1: you would have a scientist in a sci fi movie

733
00:43:38,080 --> 00:43:41,960
Speaker 1: say to to be jargon e. You know, he's like, uh,

734
00:43:42,400 --> 00:43:46,200
Speaker 1: we're gonna um, we're achieving fusion with the cubic model. Oh,

735
00:43:46,920 --> 00:43:50,600
Speaker 1: I'm not gonna go. When you just said, even though

736
00:43:50,640 --> 00:43:52,759
Speaker 1: you're joking, you said, well, it is a cubic, like

737
00:43:52,880 --> 00:43:55,920
Speaker 1: the model is cubic. I it was disarming. I'm not

738
00:43:55,960 --> 00:43:58,400
Speaker 1: gonna lie first when you said like them, like, yeah, well,

739
00:43:58,440 --> 00:44:00,879
Speaker 1: I was trying to channel James Franco and Spiderman too.

740
00:44:02,120 --> 00:44:05,160
Speaker 1: Another character asks him how how the work is going

741
00:44:05,239 --> 00:44:07,800
Speaker 1: at the lab and he goes, it's good, we're achieving

742
00:44:07,880 --> 00:44:12,640
Speaker 1: fusion and then they just like move on in the conversation.

743
00:44:13,000 --> 00:44:15,680
Speaker 1: Spiderman two is still one of my most favorite movies

744
00:44:15,760 --> 00:44:19,279
Speaker 1: of all time. It's it's a great, great movie. Yeah,

745
00:44:19,600 --> 00:44:21,520
Speaker 1: it's the best Spider Man in my in my opinion,

746
00:44:21,880 --> 00:44:27,160
Speaker 1: that's the one where Franco becomes the Goblin at the end. Yeah,

747
00:44:27,880 --> 00:44:36,959
Speaker 1: but it's mostly Alpha ba as doc. H Uh. James

748
00:44:37,000 --> 00:44:39,239
Speaker 1: Franco has a great line rate in that movie where

749
00:44:39,320 --> 00:44:42,320
Speaker 1: he's like dismissing his butler and I think that his

750
00:44:42,440 --> 00:44:48,480
Speaker 1: butler's name is Bernard. But James Franco says Bernard. He says,

751
00:44:48,840 --> 00:44:52,480
Speaker 1: go home, Bernard. I'm like, they didn't have another take

752
00:44:52,520 --> 00:44:57,600
Speaker 1: of that. That's his that's his NorCal accent, strong NorCal

753
00:44:57,719 --> 00:45:15,840
Speaker 1: coming out, go home, Burner, We'll be right back and

754
00:45:16,120 --> 00:45:20,800
Speaker 1: we're back. And speaking of the name Bernard, the Musk

755
00:45:21,000 --> 00:45:26,000
Speaker 1: and Grimes child will probably need to have an actual name.

756
00:45:26,280 --> 00:45:30,560
Speaker 1: It turns out we still haven't gotten a pronunciation of

757
00:45:32,040 --> 00:45:36,400
Speaker 1: their current name, right, yeah, I mean, while we know

758
00:45:36,640 --> 00:45:39,520
Speaker 1: is X and then the A E or the elve. Okay,

759
00:45:39,600 --> 00:45:42,160
Speaker 1: so as we look at it, it's the X, that

760
00:45:42,400 --> 00:45:47,680
Speaker 1: A E ship, then fucking o A A through twelve

761
00:45:48,160 --> 00:45:51,160
Speaker 1: a hyphen twelve that's the name. As we read each

762
00:45:51,239 --> 00:45:56,360
Speaker 1: character like that pronunciation, I'm gonna hit him with that

763
00:45:56,480 --> 00:46:00,360
Speaker 1: just to make it as absurd as possible. I'm Grimes

764
00:46:00,440 --> 00:46:01,920
Speaker 1: kind of broke it down just so you know it's

765
00:46:01,960 --> 00:46:04,680
Speaker 1: not a bunch of bullshit. Okay, it means a lot

766
00:46:04,920 --> 00:46:10,040
Speaker 1: to me an elon Ruby pockets, musk X stands for

767
00:46:10,120 --> 00:46:13,400
Speaker 1: the unknown variable. Well, A E is the Elvin spelling

768
00:46:13,640 --> 00:46:20,279
Speaker 1: of I love and or artificial intelligence. A twelve A

769
00:46:20,480 --> 00:46:24,680
Speaker 1: twelve equals the precursor to SR seventeen, our favorite aircraft.

770
00:46:24,880 --> 00:46:28,680
Speaker 1: No weapons, no defenses, just speed great in battle but

771
00:46:28,920 --> 00:46:32,759
Speaker 1: non violent and a battle but no violent, and A

772
00:46:33,760 --> 00:46:40,960
Speaker 1: and A equals archangel. Uh huh So the funk up? Yeah?

773
00:46:41,000 --> 00:46:44,000
Speaker 1: I mean yeah, but based on that naming convention like that,

774
00:46:44,200 --> 00:46:46,640
Speaker 1: that's just a bunch of ship that they like. That's all.

775
00:46:47,280 --> 00:46:49,359
Speaker 1: It's more of a list than a name, not how

776
00:46:49,560 --> 00:46:52,840
Speaker 1: names work, and it reads that way. According to this

777
00:46:53,040 --> 00:46:56,000
Speaker 1: naming convention, my first child shall be known as I

778
00:46:56,200 --> 00:46:59,640
Speaker 1: D A h H oh three oh four O G okay.

779
00:47:00,239 --> 00:47:03,560
Speaker 1: Now I D A H H from my favorite DMX

780
00:47:03,600 --> 00:47:06,520
Speaker 1: album It's Dark and Hell's Hot oh three oh four

781
00:47:06,680 --> 00:47:09,480
Speaker 1: for the Arsenal Invincible season of two thousand three, two

782
00:47:09,520 --> 00:47:12,640
Speaker 1: thousand four, and O G my favorite train of cush okay.

783
00:47:12,920 --> 00:47:15,680
Speaker 1: So that's what my child's name is. Please please leave

784
00:47:15,760 --> 00:47:19,040
Speaker 1: us alone. They're going to get some upset when they

785
00:47:19,160 --> 00:47:22,719
Speaker 1: go to the UH souvenir store and there's no little

786
00:47:22,760 --> 00:47:25,080
Speaker 1: license plate with their name on it. There's no little

787
00:47:25,080 --> 00:47:27,879
Speaker 1: California license plate that says I dah three oh four

788
00:47:27,920 --> 00:47:30,520
Speaker 1: O G miles, What would you do that? I would

789
00:47:30,600 --> 00:47:33,239
Speaker 1: love to leave them alone, Like I don't want to

790
00:47:33,320 --> 00:47:36,239
Speaker 1: think about them ever again. You know they're acting like

791
00:47:36,719 --> 00:47:38,719
Speaker 1: like leave us alone. It's like, yeah, we don't want

792
00:47:38,719 --> 00:47:42,040
Speaker 1: to talk to you, Like Sara, I'll spend all my

793
00:47:42,239 --> 00:47:46,960
Speaker 1: money like UH stocking gift stores at amusement parks with

794
00:47:47,160 --> 00:47:52,759
Speaker 1: the name X A E A through thirteen. So when

795
00:47:54,239 --> 00:48:01,560
Speaker 1: it's like like idiot, we had them all except one, Huh?

796
00:48:03,880 --> 00:48:06,120
Speaker 1: I like baby Rusk. I think that was a great name,

797
00:48:06,280 --> 00:48:11,880
Speaker 1: baby Drusk. But according to the law in Los Angeles

798
00:48:11,960 --> 00:48:15,319
Speaker 1: or California, presumably presumably that's where the baby was born,

799
00:48:15,640 --> 00:48:18,400
Speaker 1: they can only incorporate like letters from the English alphabet.

800
00:48:18,440 --> 00:48:24,279
Speaker 1: No numbers are special characters. So it's just gonna be X,

801
00:48:24,600 --> 00:48:28,520
Speaker 1: X A A. Why. I just, um, you know, if

802
00:48:28,560 --> 00:48:31,080
Speaker 1: you name your kid X anything anything, you're just gonna

803
00:48:31,120 --> 00:48:33,120
Speaker 1: call your kid X. So just name your kid x

804
00:48:35,480 --> 00:48:41,759
Speaker 1: X speaking of it dark man X Yeah, well that's

805
00:48:41,760 --> 00:48:45,960
Speaker 1: actually uh and then there then there was X. This

806
00:48:46,160 --> 00:48:49,080
Speaker 1: is like, this is the perfect name. This is the

807
00:48:49,080 --> 00:48:52,280
Speaker 1: perfect name for a for the child of two big nerds,

808
00:48:52,520 --> 00:48:55,359
Speaker 1: because the nerds also think that a list of things

809
00:48:55,440 --> 00:49:02,960
Speaker 1: they like is an identity. Yeah, I'm just yeah, I'm

810
00:49:03,040 --> 00:49:08,200
Speaker 1: so absolutely sick of these losers. Yeah. When I read

811
00:49:08,239 --> 00:49:14,200
Speaker 1: the words our favorite aircraft, I puked. Aircraft favorite aircraft,

812
00:49:14,440 --> 00:49:17,560
Speaker 1: our favorite aircraft. Well that's how I know I'm not

813
00:49:17,760 --> 00:49:20,160
Speaker 1: in love because Her Majesty and I don't have a

814
00:49:20,560 --> 00:49:26,120
Speaker 1: shared favorite area. Yeah, you guys are a fake as couple. Yeah, exactly,

815
00:49:27,040 --> 00:49:30,839
Speaker 1: this could have been you, Miles. I'm playing, I'm playing

816
00:49:30,880 --> 00:49:34,960
Speaker 1: with these real names. I'm so exhausted with with with

817
00:49:35,200 --> 00:49:38,040
Speaker 1: this couple, do you think I like when I like

818
00:49:38,160 --> 00:49:42,239
Speaker 1: that they did a fake reverse etymology of of their

819
00:49:42,320 --> 00:49:47,480
Speaker 1: child's name where it was like a AI is artificial intelligence.

820
00:49:47,520 --> 00:49:50,279
Speaker 1: But then they noticed that it's also like the word

821
00:49:50,400 --> 00:49:55,480
Speaker 1: for love in Chinese, I think, And then they were like, yeah,

822
00:49:55,520 --> 00:49:58,640
Speaker 1: we did that on purpose. That's on breakfast oh Japanese. Yeah,

823
00:49:58,680 --> 00:50:00,560
Speaker 1: so they were like, yeah, we meant we were doing that.

824
00:50:00,680 --> 00:50:06,040
Speaker 1: It's like a double meaning. Yeah, so right, but like

825
00:50:06,200 --> 00:50:10,279
Speaker 1: you could look at an actual name and and like

826
00:50:10,640 --> 00:50:13,279
Speaker 1: say all sorts of like ship, like and then this

827
00:50:13,520 --> 00:50:17,400
Speaker 1: is the thirteenth letter in the alphabet, and thirteen stands

828
00:50:17,480 --> 00:50:19,560
Speaker 1: for like you can do that same ship if you

829
00:50:19,640 --> 00:50:23,479
Speaker 1: want to an actual name that you can say out loud.

830
00:50:23,600 --> 00:50:27,600
Speaker 1: You don't need to give your child an unpronounceable name.

831
00:50:28,280 --> 00:50:30,960
Speaker 1: It's just gonna be so annoying, like even to them,

832
00:50:31,320 --> 00:50:33,480
Speaker 1: like very quickly. Yeah, it's like this kid will not

833
00:50:34,280 --> 00:50:38,280
Speaker 1: If this kid likes it, they're even worse than their parents.

834
00:50:39,520 --> 00:50:41,960
Speaker 1: It's gonna happen. They're gonna they're gonna try and get

835
00:50:42,040 --> 00:50:45,160
Speaker 1: that child's name like legally changed to that, and they're

836
00:50:45,200 --> 00:50:46,919
Speaker 1: gonna say no, and they're gonna like, well, then funk

837
00:50:47,000 --> 00:50:51,000
Speaker 1: that we don't want a kid. Well then that's um,

838
00:50:51,280 --> 00:50:57,359
Speaker 1: I do like that. Oh my god, the whole thing

839
00:50:57,400 --> 00:51:00,680
Speaker 1: about how she was, Oh it is. Should we talk

840
00:51:00,680 --> 00:51:03,239
Speaker 1: about that there? We talked about it a little bit

841
00:51:03,280 --> 00:51:05,120
Speaker 1: the other day. I don't think that there's any updates

842
00:51:05,200 --> 00:51:07,600
Speaker 1: other than they're still messy as fuck and it's kind

843
00:51:07,640 --> 00:51:10,680
Speaker 1: of funny. I just like for ukulele. Goths is my

844
00:51:10,840 --> 00:51:14,960
Speaker 1: favorite term. Yeah, I think I gotta get into that

845
00:51:15,040 --> 00:51:23,480
Speaker 1: whole aesthetic now. Yeah, my makeup circus vaguely circusy stuff,

846
00:51:23,800 --> 00:51:29,200
Speaker 1: you know, maybe a steam culture gone awry. Yeah, yeah,

847
00:51:30,320 --> 00:51:34,080
Speaker 1: black two twos and like striped tights, something about your

848
00:51:34,120 --> 00:51:38,520
Speaker 1: heart being ripped out of your body by by marionette

849
00:51:38,760 --> 00:51:42,960
Speaker 1: some hort. There's just going to be some really puppet metaphors.

850
00:51:43,120 --> 00:51:47,480
Speaker 1: Oh god, Yeah, they're dolls, you know, they're just do

851
00:51:49,560 --> 00:51:54,200
Speaker 1: are dolls. We are old dolls are actually we're all dolls,

852
00:51:54,680 --> 00:51:59,000
Speaker 1: and our hearts are pretty fregile. Um, guys, let's talk

853
00:51:59,000 --> 00:52:03,240
Speaker 1: about Dr fouch you real quick? Uh fine, I wanna

854
00:52:03,480 --> 00:52:09,040
Speaker 1: I wanna get everybody's read. So are you asking me

855
00:52:09,080 --> 00:52:12,520
Speaker 1: if I would fun Dr fauci is he I don't

856
00:52:12,560 --> 00:52:16,000
Speaker 1: think it's hot I don't think anybody really thinks he's hot.

857
00:52:16,040 --> 00:52:19,680
Speaker 1: I think everybody because everyone is you know, really projecting

858
00:52:19,719 --> 00:52:23,560
Speaker 1: onto Dr Fauci. Just because somebody saving your life doesn't

859
00:52:23,600 --> 00:52:26,319
Speaker 1: mean that you need to want to funk them. Well

860
00:52:26,560 --> 00:52:30,120
Speaker 1: for yourself, speak for yourself. Yeah. So there are three

861
00:52:30,239 --> 00:52:35,719
Speaker 1: Maryland based microbiologists who created a group chat to uh

862
00:52:35,840 --> 00:52:40,400
Speaker 1: and this is a quote gush over Fauci in in private,

863
00:52:40,640 --> 00:52:47,000
Speaker 1: and then they created like a twitter um. And first

864
00:52:47,040 --> 00:52:51,800
Speaker 1: of all, is the phrase gush over? Is that like

865
00:52:52,000 --> 00:52:54,800
Speaker 1: I've used that phrase since I was a kid to

866
00:52:54,840 --> 00:52:57,799
Speaker 1: be like, oh, they're really gushing over that thing. Does

867
00:52:57,840 --> 00:53:01,040
Speaker 1: that just mean does that come from the people are

868
00:53:01,160 --> 00:53:08,200
Speaker 1: like coming about a thing? No, No, that would be horrible. However,

869
00:53:08,360 --> 00:53:11,200
Speaker 1: I will say I think of yeah, like gush over

870
00:53:11,400 --> 00:53:14,040
Speaker 1: is like when you talk about someone a lot um

871
00:53:14,480 --> 00:53:18,239
Speaker 1: but and old but an old fashioned thing to do

872
00:53:18,600 --> 00:53:22,200
Speaker 1: is when somebody um kind of like exclaims to call

873
00:53:22,280 --> 00:53:25,640
Speaker 1: it ejaculating um. And I used to like as a kid,

874
00:53:25,719 --> 00:53:27,400
Speaker 1: I would read a lot of like kind of like

875
00:53:27,520 --> 00:53:29,839
Speaker 1: turn of the century like kids books, and and when

876
00:53:29,920 --> 00:53:33,080
Speaker 1: somebody like exclaimed something, they would say like, wow, he

877
00:53:33,200 --> 00:53:37,320
Speaker 1: ejaculated um. And I never thought I didn't know that

878
00:53:37,400 --> 00:53:40,919
Speaker 1: it meant anything else. And my mom at one point,

879
00:53:41,000 --> 00:53:42,560
Speaker 1: I think, saw it in one of my books and

880
00:53:42,640 --> 00:53:46,440
Speaker 1: she was like sneaky, was like sorrow, What does ejaculating mean?

881
00:53:46,880 --> 00:53:49,479
Speaker 1: And I was like, it means when somebody's like talking loud,

882
00:53:49,640 --> 00:54:02,239
Speaker 1: and she was like, okay, nuts, whoa what the what

883
00:54:02,360 --> 00:54:08,080
Speaker 1: are those fucking box card children getting up to? There

884
00:54:08,320 --> 00:54:09,920
Speaker 1: were there like words when you were a kid that

885
00:54:10,000 --> 00:54:12,000
Speaker 1: you just like, straight up you just for a very

886
00:54:12,120 --> 00:54:15,880
Speaker 1: long time. Just we're using it totally wrong. There is

887
00:54:16,200 --> 00:54:19,240
Speaker 1: I didn't know what I thought pedophile meant bad teacher

888
00:54:19,640 --> 00:54:24,360
Speaker 1: because of an episode, because of an episode of Degrassi

889
00:54:24,480 --> 00:54:28,960
Speaker 1: that I saw, Wait, what episode of Degrassi there was

890
00:54:29,040 --> 00:54:31,960
Speaker 1: a teacher. There was some episode where Emma on Degrassi

891
00:54:32,080 --> 00:54:35,279
Speaker 1: goes like more like Mr Pedophile, and me and my

892
00:54:35,440 --> 00:54:39,120
Speaker 1: cousin called another teacher Mr Pedophile because we thought that

893
00:54:39,200 --> 00:54:41,719
Speaker 1: that meant like he's just a shitty teacher, and we

894
00:54:41,880 --> 00:54:47,640
Speaker 1: got in trouble at camp. Uh. Mr Flannigan was not

895
00:54:47,680 --> 00:54:52,520
Speaker 1: a pedophile. He was simply a bad teacher. I remember

896
00:54:52,600 --> 00:54:55,000
Speaker 1: reading on the internet as a child that a pig's

897
00:54:55,120 --> 00:54:57,640
Speaker 1: orgasm lasts for thirty minutes, and I didn't know what

898
00:54:57,920 --> 00:54:59,920
Speaker 1: orgasm was, but I kind of vaguely knew that it

899
00:55:00,120 --> 00:55:03,560
Speaker 1: was bad, and so I asked my mom what it meant,

900
00:55:05,880 --> 00:55:09,879
Speaker 1: and she wouldn't tell me. Whoa that is? Like you're

901
00:55:09,960 --> 00:55:12,600
Speaker 1: super gonna find out and get bad info. But that's

902
00:55:12,640 --> 00:55:15,040
Speaker 1: the weird thing is like I don't I don't know.

903
00:55:15,080 --> 00:55:17,120
Speaker 1: If I did, I could have just googled what is

904
00:55:17,120 --> 00:55:19,480
Speaker 1: an orgasm? But I didn't. I guess I didn't really

905
00:55:19,520 --> 00:55:21,399
Speaker 1: think of the it was. It was at a time

906
00:55:21,440 --> 00:55:23,839
Speaker 1: where I thought of the Internet at a very different place,

907
00:55:23,920 --> 00:55:25,279
Speaker 1: not just a place where you could type in a

908
00:55:25,360 --> 00:55:28,080
Speaker 1: question and get an answer, but one where you had

909
00:55:28,120 --> 00:55:30,560
Speaker 1: to go to like a Yahoo music page in order

910
00:55:30,640 --> 00:55:34,080
Speaker 1: to watch your favorite music videos on their weird flashes

911
00:55:34,280 --> 00:55:38,399
Speaker 1: simpler time. Yeah, well, guys, Dr Foulci has been giving

912
00:55:38,480 --> 00:55:43,280
Speaker 1: people thirty minute long pig orgasms for for a long time,

913
00:55:43,960 --> 00:55:48,759
Speaker 1: uh since a There was a romance novel by a

914
00:55:48,800 --> 00:55:52,520
Speaker 1: writer named Sally Quinn, and according to Quinn, she was

915
00:55:52,600 --> 00:55:55,960
Speaker 1: seated next to foul She at a d C dinner

916
00:55:56,040 --> 00:55:58,600
Speaker 1: event and like fell in love with him. He was

917
00:55:58,719 --> 00:56:03,200
Speaker 1: like so charmed ng and she saw what these three

918
00:56:03,520 --> 00:56:09,560
Speaker 1: microbiologists who created the fauci fan club saw because she

919
00:56:09,760 --> 00:56:15,239
Speaker 1: then made him the hero of her novel, which was

920
00:56:15,600 --> 00:56:18,880
Speaker 1: I think a big success. It was called Happy Endings,

921
00:56:19,600 --> 00:56:24,120
Speaker 1: and yeah, she was like a subject matter was weird. Yeah,

922
00:56:24,239 --> 00:56:28,160
Speaker 1: so the subject matter. So he before he was our

923
00:56:28,239 --> 00:56:32,640
Speaker 1: guy who was just you know, having to endure the

924
00:56:33,040 --> 00:56:36,440
Speaker 1: bullshit of the Trump administration during this pandemic. He was

925
00:56:36,960 --> 00:56:39,080
Speaker 1: the guy who was having to endure the bullshit of

926
00:56:39,160 --> 00:56:43,480
Speaker 1: the Reagan administration during the AIDS crisis. Um, he like

927
00:56:43,800 --> 00:56:50,520
Speaker 1: abandoned his career to study HIV AIDS in one because

928
00:56:50,600 --> 00:56:53,640
Speaker 1: he just like had an intuition that this was going

929
00:56:53,760 --> 00:56:57,160
Speaker 1: to get out of control. Um. And he was like

930
00:56:57,360 --> 00:57:01,360
Speaker 1: the main kind of person for HIV AIDS in the

931
00:57:01,440 --> 00:57:06,239
Speaker 1: Reagan administration. But because the Reagan administration was so backwards

932
00:57:06,320 --> 00:57:12,320
Speaker 1: and conservative and homophobic, they like he became kind of

933
00:57:12,400 --> 00:57:18,760
Speaker 1: associated with a really like shitty HIV policy and became

934
00:57:19,160 --> 00:57:21,880
Speaker 1: there were like chants outside of the White House of

935
00:57:22,040 --> 00:57:26,000
Speaker 1: fuck you fauci Um. But then he like won the

936
00:57:26,080 --> 00:57:29,560
Speaker 1: protesters over by just being who he is, like a

937
00:57:30,080 --> 00:57:34,520
Speaker 1: kind of listening to them and caring about human life. Yeah,

938
00:57:35,240 --> 00:57:42,040
Speaker 1: that's wild. But the story of the of the novel

939
00:57:42,400 --> 00:57:47,760
Speaker 1: is that he is like the czar of HIV AIDS

940
00:57:47,960 --> 00:57:54,200
Speaker 1: and is treating the president who secretly has AIDS while

941
00:57:55,360 --> 00:58:00,800
Speaker 1: having an affair with the former first Lady, and the

942
00:58:00,880 --> 00:58:04,160
Speaker 1: scientist is having an affair with the not the president.

943
00:58:05,040 --> 00:58:11,040
Speaker 1: Gotcha Yeah, um, I don't know. It's it's pretty uh,

944
00:58:11,240 --> 00:58:15,200
Speaker 1: pretty steamy stuff. It's so funny. How like in the thing,

945
00:58:15,640 --> 00:58:19,480
Speaker 1: it was like there were some pretty interesting like j

946
00:58:19,760 --> 00:58:21,600
Speaker 1: M who wrote The Feast, like had some excerpts with

947
00:58:21,680 --> 00:58:24,240
Speaker 1: some of the reviews that we're pretty seemed pretty scathing,

948
00:58:25,280 --> 00:58:28,960
Speaker 1: but also like the hearing about just the dynamic of

949
00:58:29,040 --> 00:58:31,680
Speaker 1: the doctor. It's like he resisted because he was married

950
00:58:31,760 --> 00:58:39,760
Speaker 1: and Jewish and she is neither what okay? And then

951
00:58:39,920 --> 00:58:42,600
Speaker 1: the doctor character would say lines like you are like

952
00:58:42,720 --> 00:58:45,360
Speaker 1: a tumor in my brain which is getting larger and

953
00:58:45,480 --> 00:58:51,520
Speaker 1: larger each day. See why he was seen as irresistible.

954
00:58:54,040 --> 00:58:55,760
Speaker 1: I want to know why is the New York Times

955
00:58:55,840 --> 00:59:01,000
Speaker 1: reviewing this romance novel. I think it's because the woman

956
00:59:01,080 --> 00:59:03,080
Speaker 1: because she used to write for the Washington Post. Author

957
00:59:03,200 --> 00:59:08,520
Speaker 1: Sally Quinn was like a respected Washington Post journalist. That's funny,

958
00:59:09,000 --> 00:59:13,280
Speaker 1: and then she wrote his romance. You know, I'm like,

959
00:59:13,520 --> 00:59:16,360
Speaker 1: I'm I'm not. You know, people are writing fan fic

960
00:59:16,800 --> 00:59:21,320
Speaker 1: in in Quarantine. I mean, who who are we? Right?

961
00:59:24,000 --> 00:59:26,880
Speaker 1: Long time? It's very funny to me that, um that

962
00:59:27,040 --> 00:59:29,560
Speaker 1: the New York Times has this like like this is

963
00:59:29,600 --> 00:59:31,240
Speaker 1: from the New York Times review of the book when

964
00:59:31,240 --> 00:59:34,800
Speaker 1: it came out. Um, you know, um, all the characters

965
00:59:34,840 --> 00:59:37,040
Speaker 1: are made from the stuff of yesterday's Hollywood. Allison and

966
00:59:37,120 --> 00:59:39,920
Speaker 1: Sadie are so interchangeably gorgeous and accomplished, and their men

967
00:59:40,080 --> 00:59:42,960
Speaker 1: des and Michael Lanzer are so charismatic and macho that

968
00:59:43,000 --> 00:59:45,040
Speaker 1: they seem to speak with a single voice. I'm like, yeah,

969
00:59:45,080 --> 00:59:47,480
Speaker 1: have you never read a fucking romance novel? They're all

970
00:59:47,520 --> 00:59:52,680
Speaker 1: the same. Like, why are you complaining? I mean that

971
00:59:52,800 --> 00:59:57,280
Speaker 1: way to legitimize this? Uh this art? Yeah, there was

972
00:59:57,880 --> 01:00:00,680
Speaker 1: It's great art. There was a thing. What is there's

973
01:00:00,680 --> 01:00:04,000
Speaker 1: a line about like one of the reviewers was pointing

974
01:00:04,080 --> 01:00:07,280
Speaker 1: to an interview she gave in the seventies. Uh, it says,

975
01:00:07,320 --> 01:00:11,320
Speaker 1: by reputation, did you read that part about how Quinn

976
01:00:11,440 --> 01:00:15,160
Speaker 1: is quinn is flippancy incarnate on paper? Such rep partake

977
01:00:15,240 --> 01:00:18,600
Speaker 1: and look art can look arch and contrived with wit,

978
01:00:18,920 --> 01:00:21,680
Speaker 1: as with charm, you usually had to be there and

979
01:00:21,760 --> 01:00:23,840
Speaker 1: then they go on about some of these uh like

980
01:00:24,000 --> 01:00:26,120
Speaker 1: sex scenes and and then they say this from someone

981
01:00:26,200 --> 01:00:29,360
Speaker 1: who once answered the handwringing of other women journalists with

982
01:00:29,920 --> 01:00:32,720
Speaker 1: being blonde doesn't hurt. And that was something that apparently

983
01:00:32,760 --> 01:00:34,760
Speaker 1: I was like looking into that in the seventies, people

984
01:00:34,800 --> 01:00:37,280
Speaker 1: were asking, like, you know about being a journalist, and

985
01:00:37,400 --> 01:00:39,000
Speaker 1: she was like, you know, you can take advantage of

986
01:00:39,080 --> 01:00:41,919
Speaker 1: like a situation. Maybe they're more comfortable with you, maybe

987
01:00:41,960 --> 01:00:45,080
Speaker 1: there's flirtation, insinuation. And then like said and also, being

988
01:00:45,160 --> 01:00:47,320
Speaker 1: blonde doesn't hurt. And apparently a lot of the women

989
01:00:47,440 --> 01:00:50,040
Speaker 1: were like there at this talk, We're like, that's like

990
01:00:50,200 --> 01:00:52,480
Speaker 1: the most backwards thing, like we're all here trying to

991
01:00:52,800 --> 01:00:55,160
Speaker 1: learn some ship and that was the answer you gave.

992
01:00:55,560 --> 01:00:58,080
Speaker 1: So it's interesting to see that, Like that quote I

993
01:00:58,320 --> 01:01:00,919
Speaker 1: guess must have been infamous because that was eighteen years

994
01:01:01,000 --> 01:01:03,200
Speaker 1: before the book came out. Yeah, I think this is

995
01:01:03,240 --> 01:01:05,200
Speaker 1: a big deal. This book was a big deal at

996
01:01:05,240 --> 01:01:09,000
Speaker 1: the time. I see. That makes sense, and it also

997
01:01:09,080 --> 01:01:11,880
Speaker 1: makes it so much funnier that it was so viciously panned.

998
01:01:14,640 --> 01:01:17,040
Speaker 1: This is hot, this is something really hot, tea right now.

999
01:01:17,360 --> 01:01:21,600
Speaker 1: This is but here's the thing, Like, clearly Fauci's got

1000
01:01:21,680 --> 01:01:26,800
Speaker 1: the cavorca for a certain type of personnelity. There's I

1001
01:01:26,880 --> 01:01:28,960
Speaker 1: mean there, I don't know what that's what I'm trying

1002
01:01:29,000 --> 01:01:30,520
Speaker 1: to figure out. What is it? Purely? Is it the

1003
01:01:30,640 --> 01:01:32,840
Speaker 1: hope that he offers, And that's what it is, the

1004
01:01:32,960 --> 01:01:38,560
Speaker 1: juxtaposition of this absolute ignoramus in chief and then like

1005
01:01:38,800 --> 01:01:41,680
Speaker 1: someone a learned person just next to it. And it's like,

1006
01:01:42,000 --> 01:01:44,640
Speaker 1: that's so fucking hot right now, Like yeah, I think so,

1007
01:01:44,920 --> 01:01:47,600
Speaker 1: especially because like it's the same thing that's happening with

1008
01:01:47,680 --> 01:01:50,080
Speaker 1: Cuomo is people are like, wow, I love Cuomo. He's

1009
01:01:50,120 --> 01:01:51,960
Speaker 1: so amazing, and it's like he's actually doing a really

1010
01:01:52,000 --> 01:01:54,320
Speaker 1: bad job, but he's still doing way better than Trump,

1011
01:01:54,520 --> 01:01:59,000
Speaker 1: So you know, people people think he's it's like, wow,

1012
01:01:59,040 --> 01:02:01,440
Speaker 1: he's so reassuring. Now it's like, yeah, compared to Trump,

1013
01:02:01,600 --> 01:02:04,560
Speaker 1: the like man with dementia who doesn't give a funk

1014
01:02:04,560 --> 01:02:07,600
Speaker 1: about anyone else or like can't conceptualize who he is

1015
01:02:07,680 --> 01:02:10,640
Speaker 1: or what he's doing, Like, yeah, anybody looks hot next

1016
01:02:10,680 --> 01:02:13,720
Speaker 1: to him. It's like, you know, you bring you bring

1017
01:02:13,800 --> 01:02:16,560
Speaker 1: someone who looks worse than you to the bar to

1018
01:02:16,640 --> 01:02:20,720
Speaker 1: make you look good. That's basic science, guys. So Fauci

1019
01:02:20,840 --> 01:02:23,600
Speaker 1: on Tinder, it's him and Trump in his profile. Yeah,

1020
01:02:24,000 --> 01:02:26,520
Speaker 1: it's him next to Trump and he's he's he's pointing

1021
01:02:26,560 --> 01:02:28,640
Speaker 1: at Trump like can you fucking believe this guy? And

1022
01:02:28,720 --> 01:02:31,480
Speaker 1: you're like, oh my god, like the photo of you

1023
01:02:31,560 --> 01:02:35,920
Speaker 1: are looking for me. There's also the thing of like

1024
01:02:36,400 --> 01:02:39,600
Speaker 1: on paper. He is really like the perfect romance novel lead.

1025
01:02:39,640 --> 01:02:42,520
Speaker 1: He's a doctor. Um, he seems to like give a

1026
01:02:42,520 --> 01:02:45,240
Speaker 1: shit about people. You know, he's very smart and you

1027
01:02:45,320 --> 01:02:49,520
Speaker 1: know by by Quinn's uh yeah, he's athletic. He's like, um,

1028
01:02:49,680 --> 01:02:52,280
Speaker 1: the guy who's the star of the Doctor Robert Langdon,

1029
01:02:52,400 --> 01:02:54,760
Speaker 1: the star of the fucking Da Vinci Code, and and

1030
01:02:55,160 --> 01:03:03,640
Speaker 1: you know Dan Brown books, Yeah, expert guy the best umbles. Yeah,

1031
01:03:03,720 --> 01:03:05,520
Speaker 1: he's like a puzzle expert. But he's also like a

1032
01:03:05,600 --> 01:03:08,720
Speaker 1: swimmer and um, actually his students call him the Dolphin

1033
01:03:08,840 --> 01:03:13,760
Speaker 1: because he's always swimming. Laughs. This is Cannon, This is

1034
01:03:17,640 --> 01:03:21,320
Speaker 1: the Origins book is really good, Yeah, because they really

1035
01:03:21,360 --> 01:03:23,880
Speaker 1: go into like, wow, he's like all his girls students

1036
01:03:23,920 --> 01:03:25,840
Speaker 1: have crushes on him, and I'm like, okay, yeah, it's

1037
01:03:25,880 --> 01:03:29,919
Speaker 1: like you could cast fauci as this right. Yeah, they're

1038
01:03:29,960 --> 01:03:33,280
Speaker 1: like his core. This shape of his core reminded us

1039
01:03:33,360 --> 01:03:38,960
Speaker 1: of a Roman statue, Like, yeah, absolutely, alright, guys, So

1040
01:03:39,440 --> 01:03:42,520
Speaker 1: before we go, we wanna figure out what we're gonna

1041
01:03:42,640 --> 01:03:45,600
Speaker 1: do for the rewatch. I think we're going to change

1042
01:03:45,640 --> 01:03:48,440
Speaker 1: things up and actually spread it out a little bit.

1043
01:03:48,800 --> 01:03:52,120
Speaker 1: Uh so as to me not make you guys have

1044
01:03:52,280 --> 01:03:55,760
Speaker 1: to watch Trolls World Tour. I think someone needs to

1045
01:03:55,800 --> 01:03:59,760
Speaker 1: watch that because the it is changing the film industry.

1046
01:04:00,120 --> 01:04:02,880
Speaker 1: So I'm gonna watch that with my kids over the weekend.

1047
01:04:02,960 --> 01:04:10,680
Speaker 1: If anybody wants to join with me, I think I

1048
01:04:10,760 --> 01:04:13,520
Speaker 1: think I will be you know, I think what's interesting

1049
01:04:13,560 --> 01:04:16,400
Speaker 1: about this segment is now we are going to subject

1050
01:04:16,480 --> 01:04:18,320
Speaker 1: ourselves to this content and let you know if it's

1051
01:04:18,320 --> 01:04:20,880
Speaker 1: worth dipping in. Because there are so many shows that

1052
01:04:21,000 --> 01:04:23,840
Speaker 1: we see that I've not actually watched, or like, there's

1053
01:04:23,840 --> 01:04:25,800
Speaker 1: so many shows that we here talked about that I've

1054
01:04:25,840 --> 01:04:28,000
Speaker 1: not actually seen. Um and right now, one of the

1055
01:04:28,080 --> 01:04:32,200
Speaker 1: top shows on Netflix is Outer Banks, so that for

1056
01:04:32,360 --> 01:04:37,720
Speaker 1: like three weeks it's just like a really cool sort

1057
01:04:37,760 --> 01:04:41,200
Speaker 1: of action the soap opera about the Outer Banks area.

1058
01:04:41,520 --> 01:04:44,400
Speaker 1: I believe in North Carolina could be both Carolinas, but um,

1059
01:04:44,920 --> 01:04:47,400
Speaker 1: the Outer Banks, Like it's about this beach town where

1060
01:04:47,440 --> 01:04:50,360
Speaker 1: like these poor kids stumble upon like a fucking huge

1061
01:04:50,440 --> 01:04:52,360
Speaker 1: pile of like money that they don't know where it

1062
01:04:52,440 --> 01:04:54,480
Speaker 1: came from. And now they're like living life on the

1063
01:04:54,680 --> 01:04:57,680
Speaker 1: rich part of town. But whoever is money that is, Oh,

1064
01:04:57,760 --> 01:05:01,720
Speaker 1: they're coming for it and like they're navigating, you know,

1065
01:05:02,080 --> 01:05:03,840
Speaker 1: with a little bit of money, and I don't know,

1066
01:05:03,960 --> 01:05:07,080
Speaker 1: it seems like it's got everything. So I will be

1067
01:05:07,160 --> 01:05:09,960
Speaker 1: watching Outer Banks, or at least the first couple episodes

1068
01:05:10,000 --> 01:05:13,120
Speaker 1: to give my take. What are you going to watch?

1069
01:05:13,360 --> 01:05:17,960
Speaker 1: I'm gonna watch Extraction starring Chris Hemsworth. It looks like

1070
01:05:18,160 --> 01:05:23,280
Speaker 1: absolute like the opposite of movies that I want to watch. Uh,

1071
01:05:24,320 --> 01:05:28,280
Speaker 1: and I don't. It's something about Chris Hemsworth. I bet

1072
01:05:28,400 --> 01:05:30,680
Speaker 1: he shoots someone, I bet he does something sucked up.

1073
01:05:30,720 --> 01:05:34,160
Speaker 1: I bet he gets kissed. These are my predictions. But

1074
01:05:34,360 --> 01:05:38,800
Speaker 1: if you want to, if you want to join Extraction squad. Uh. Yeah,

1075
01:05:38,880 --> 01:05:41,200
Speaker 1: that's another one I've seen in the top ten on Netflix.

1076
01:05:42,280 --> 01:05:43,800
Speaker 1: It's been in the time. Yeah, I don't know. It

1077
01:05:44,080 --> 01:05:46,560
Speaker 1: came out like I think two weeks ago. I just

1078
01:05:46,680 --> 01:05:50,600
Speaker 1: read that ninety million people have somehow seen this movie.

1079
01:05:51,360 --> 01:05:55,680
Speaker 1: Because yeah, so yeah, I'm gonna see I forget which

1080
01:05:56,120 --> 01:05:59,440
Speaker 1: Chris Hemsworth is, and I look forward to remembering which

1081
01:05:59,480 --> 01:06:02,760
Speaker 1: Chris he is? All right, so we are covering the

1082
01:06:02,920 --> 01:06:06,480
Speaker 1: Zeitgeist for you guys, and that movie directed by the

1083
01:06:06,640 --> 01:06:11,960
Speaker 1: Russo brothers. Well, yeah, because he's a marvel. He's a marvel, Chris, right,

1084
01:06:12,240 --> 01:06:17,720
Speaker 1: which Chris? You can tell me that he's Okay? I

1085
01:06:17,840 --> 01:06:20,200
Speaker 1: thought I think I mixed him up with the Wonder Woman. Chris.

1086
01:06:20,280 --> 01:06:24,360
Speaker 1: Which one is that? Chris Pine Pine? Yeah, I don't

1087
01:06:24,360 --> 01:06:30,280
Speaker 1: know who that is. Striking Eyes and Chriss do, but

1088
01:06:30,360 --> 01:06:33,080
Speaker 1: they're all like, do you guys vote Republican? I don't

1089
01:06:33,080 --> 01:06:35,640
Speaker 1: trust you. Chris Is. I don't know. I bet Chris

1090
01:06:35,720 --> 01:06:40,920
Speaker 1: Hemsworth doesn't. Chris Pratt Chris Pratt, Yeah, Chris Pratt. That's

1091
01:06:41,120 --> 01:06:42,800
Speaker 1: I know who that Chris is. That's a bad Chris.

1092
01:06:42,960 --> 01:06:49,200
Speaker 1: There's another one too, there's Captain America's Kyle. Who is

1093
01:06:49,240 --> 01:06:56,160
Speaker 1: that Chris Chris Evans, Yes, yes, Evans, Kyle Hemsworth, Cross

1094
01:06:56,680 --> 01:07:10,920
Speaker 1: Pine Angel find Chris of Preff Cuomo Cuomo. All right, guys, sorry,

1095
01:07:12,040 --> 01:07:14,960
Speaker 1: thank you for hanging with us while we decided what

1096
01:07:15,080 --> 01:07:18,040
Speaker 1: we were going to watch. Where can people find you

1097
01:07:18,440 --> 01:07:21,880
Speaker 1: and follow you? Um? You can go to my website Hey, sorry,

1098
01:07:21,960 --> 01:07:24,000
Speaker 1: June dot com and it has a bunch of videos

1099
01:07:24,040 --> 01:07:26,439
Speaker 1: on there, or you can go to means dot tv

1100
01:07:26,960 --> 01:07:30,400
Speaker 1: um and subscribe to it to watch some content that

1101
01:07:30,560 --> 01:07:33,160
Speaker 1: I will I made will be up on there soon. Nice. Yeah,

1102
01:07:33,760 --> 01:07:37,680
Speaker 1: and um, I wanted to ask people, um to please

1103
01:07:37,880 --> 01:07:40,680
Speaker 1: help me name my chickens because they have five that

1104
01:07:40,760 --> 01:07:44,120
Speaker 1: don't have names and I want to. You know, I'm

1105
01:07:44,160 --> 01:07:47,120
Speaker 1: sure that people have lots of good chicken name ideas,

1106
01:07:47,120 --> 01:07:49,000
Speaker 1: because every time I tell people that I got chickens,

1107
01:07:49,080 --> 01:07:50,760
Speaker 1: the main thing they asked me is like, what are

1108
01:07:50,920 --> 01:07:53,640
Speaker 1: what are their names? And like they're not like most

1109
01:07:53,680 --> 01:07:57,040
Speaker 1: of them don't have names yet, because um whatever, you

1110
01:07:57,080 --> 01:07:59,000
Speaker 1: guys you know, well three of them have names, but

1111
01:07:59,480 --> 01:08:01,640
Speaker 1: you know they're five more, and I'm sure we can

1112
01:08:01,680 --> 01:08:03,440
Speaker 1: think of something good. I just want to crowdsource this

1113
01:08:03,760 --> 01:08:07,640
Speaker 1: because I'm like super busy feeding. Yeah. Where should people

1114
01:08:07,680 --> 01:08:11,200
Speaker 1: submit their suggestions? Yeah? Oh, like in the in the

1115
01:08:11,960 --> 01:08:16,439
Speaker 1: on Twitter or like you know, on Instagram or whatever. Okay, wait,

1116
01:08:16,479 --> 01:08:17,800
Speaker 1: did you give those handles out or I think you

1117
01:08:17,840 --> 01:08:19,720
Speaker 1: just gave your website did you already said Hey, I

1118
01:08:19,760 --> 01:08:23,559
Speaker 1: don't have I don't have those handles. I'm not off

1119
01:08:23,600 --> 01:08:26,000
Speaker 1: the grid. I just don't have an account. Mm hmm.

1120
01:08:29,280 --> 01:08:31,320
Speaker 1: I can still see, you know, I can still see

1121
01:08:31,360 --> 01:08:34,040
Speaker 1: what you guys tweet? Did you put them? Okay, you

1122
01:08:34,160 --> 01:08:37,080
Speaker 1: know exactly put that like other people can? You don't.

1123
01:08:37,120 --> 01:08:43,200
Speaker 1: You don't actually need it. You can sweet people's tweets. Yeah, yeah, yeah,

1124
01:08:43,960 --> 01:08:48,160
Speaker 1: it's just a random assortment of tweets. I don't understand. Well, no,

1125
01:08:48,479 --> 01:08:50,560
Speaker 1: like I have this trick. I have this code that

1126
01:08:50,640 --> 01:08:52,519
Speaker 1: I put in the computer and it starts with w

1127
01:08:52,920 --> 01:09:00,840
Speaker 1: W W. Two people you're tweet are some other work

1128
01:09:00,920 --> 01:09:03,920
Speaker 1: of social media's Is there a tweeter some of the

1129
01:09:04,000 --> 01:09:08,040
Speaker 1: work of social media you've been enjoying? Oh? Absolutely? Um My,

1130
01:09:08,320 --> 01:09:11,160
Speaker 1: my tweet of the week is um from Chris Stevens,

1131
01:09:11,200 --> 01:09:14,280
Speaker 1: who is in the Sketch group. But um, that's with

1132
01:09:14,360 --> 01:09:18,720
Speaker 1: two tease guys. But the butt um and this is

1133
01:09:18,840 --> 01:09:21,720
Speaker 1: can I should I read the tweet? Yeah, okay, it's

1134
01:09:21,720 --> 01:09:24,360
Speaker 1: a little musical emoji and then it goes, um, ladies,

1135
01:09:24,400 --> 01:09:26,400
Speaker 1: leave your pants at home. The club is filled the

1136
01:09:26,479 --> 01:09:28,720
Speaker 1: pants and they let you put them on. And now

1137
01:09:28,760 --> 01:09:30,880
Speaker 1: your fellows leave your pants with your friends because it's

1138
01:09:30,920 --> 01:09:33,799
Speaker 1: eleven thirty and the club lets you borrow rope pants.

1139
01:09:38,840 --> 01:09:40,960
Speaker 1: I've had it stuck in my head for two days.

1140
01:09:41,880 --> 01:09:45,120
Speaker 1: It's so good, Jamie. Where can people find you and

1141
01:09:45,200 --> 01:09:48,000
Speaker 1: follow you? And what's tweet you've been enjoying? You can

1142
01:09:48,080 --> 01:09:51,880
Speaker 1: follow me on Twitter at Jamie Loft Just Help or

1143
01:09:52,000 --> 01:09:56,360
Speaker 1: Instagram at Jamie christ Superstar. Listen to the Bechtel Cast

1144
01:09:57,080 --> 01:10:01,360
Speaker 1: And I've got two tweets, one of from Alison ball

1145
01:10:01,479 --> 01:10:05,360
Speaker 1: Sam at fool in the lotus. Uh. If a mummy

1146
01:10:05,479 --> 01:10:08,320
Speaker 1: was chasing me, I wouldn't care. I would lock my door.

1147
01:10:08,560 --> 01:10:10,679
Speaker 1: What's he gonna do? The door has locked? Nice try

1148
01:10:10,920 --> 01:10:16,680
Speaker 1: l m ao, babe, laugh a lot. Uh. And then

1149
01:10:17,000 --> 01:10:20,160
Speaker 1: there was this is like a piece of a larger

1150
01:10:20,240 --> 01:10:23,720
Speaker 1: story that like I saw it was trending and I'm like,

1151
01:10:23,840 --> 01:10:27,880
Speaker 1: I don't have the wherewithal to read this entire Val

1152
01:10:28,000 --> 01:10:30,920
Speaker 1: Kilmer feature, but they tweeted out a little piece of

1153
01:10:31,000 --> 01:10:34,000
Speaker 1: it and why Tea magazine did and it's just a picture.

1154
01:10:34,280 --> 01:10:36,200
Speaker 1: You have to see the picture, but says this is

1155
01:10:36,240 --> 01:10:38,920
Speaker 1: the two ft tall batman figuring with the head of

1156
01:10:39,040 --> 01:10:42,400
Speaker 1: Mark Twain that lives in Val Kilmer's office, and the

1157
01:10:42,520 --> 01:10:46,439
Speaker 1: picture really delivers like it's it's a tweet worth checking out,

1158
01:10:48,200 --> 01:10:52,720
Speaker 1: not not to maga or anything. But Val Kilmer sure

1159
01:10:52,800 --> 01:10:57,240
Speaker 1: does have this action figure in his house. It's wild. Alright, Miles,

1160
01:10:57,960 --> 01:11:00,400
Speaker 1: where can people find you? And what's a tweet you've

1161
01:11:00,520 --> 01:11:04,120
Speaker 1: been enjoying? You can find me follow me Twitter, Instagram,

1162
01:11:04,160 --> 01:11:08,080
Speaker 1: PlayStation network at Miles of Gray. Also my other podcast

1163
01:11:08,160 --> 01:11:11,479
Speaker 1: for fiance if you get down with Fiance checked that

1164
01:11:11,520 --> 01:11:15,479
Speaker 1: show out, Let's see somewhere if you don't, if you don't, yeah,

1165
01:11:15,520 --> 01:11:17,599
Speaker 1: either way, I mean, honestly, it's a good time. Sophie

1166
01:11:17,600 --> 01:11:20,559
Speaker 1: and I can talk for hours actually about absolutely nothing,

1167
01:11:21,120 --> 01:11:23,600
Speaker 1: it seems. Uh So, a couple of tweets I like,

1168
01:11:24,080 --> 01:11:26,600
Speaker 1: first one is from Matt Girt. So there was an

1169
01:11:26,720 --> 01:11:30,880
Speaker 1: NYPD news alert on Thursday because saying that, you know,

1170
01:11:31,000 --> 01:11:33,840
Speaker 1: Jet Blue is doing like a salute to first responders

1171
01:11:33,880 --> 01:11:36,080
Speaker 1: by doing like a fly over, like it's called the

1172
01:11:36,160 --> 01:11:41,280
Speaker 1: NonStop Gratitude Flyover flying around New York City. And I

1173
01:11:41,479 --> 01:11:43,880
Speaker 1: think most people can begin to connect the dots of

1174
01:11:43,960 --> 01:11:45,920
Speaker 1: where this tweet might be going because they're saying tonight

1175
01:11:45,920 --> 01:11:47,960
Speaker 1: at seven pm, three Jet Blue air Claps will conduct

1176
01:11:48,000 --> 01:11:49,800
Speaker 1: a fly over over Manhattan, Queens in the Bronx to

1177
01:11:49,840 --> 01:11:53,599
Speaker 1: salute the first responders. Matt girts tweet is ah yes,

1178
01:11:53,760 --> 01:11:56,640
Speaker 1: the thing New Yorkers love to see low flying airliners?

1179
01:11:56,720 --> 01:12:00,320
Speaker 1: What a nice gesture? Uh? What the funk? Yeah? I

1180
01:12:00,360 --> 01:12:02,640
Speaker 1: mean it's like really odd. Like every New Yorker was like,

1181
01:12:02,960 --> 01:12:06,839
Speaker 1: what they're like jets? Jets are one thing, but commercial

1182
01:12:06,960 --> 01:12:13,120
Speaker 1: aircraft flying low altitude little yeah, hey, Jeff Blue, salute them. Um.

1183
01:12:13,600 --> 01:12:17,760
Speaker 1: Another one is from at cage yam four as it

1184
01:12:17,840 --> 01:12:20,600
Speaker 1: says I own followed back, bitch, you ain't no celebrity.

1185
01:12:20,920 --> 01:12:24,000
Speaker 1: I don't know why. It was just funny um. And also,

1186
01:12:25,120 --> 01:12:32,360
Speaker 1: uh whereas the last one? Okay, this is from Auntie Howny.

1187
01:12:32,479 --> 01:12:36,320
Speaker 1: It says at one eight hundred hany it's always what

1188
01:12:36,520 --> 01:12:39,439
Speaker 1: you're doing or w y d and never I painted

1189
01:12:39,479 --> 01:12:45,519
Speaker 1: an eight inch Renaissance portrait of you. Uh. Some tweets

1190
01:12:45,520 --> 01:12:51,400
Speaker 1: I've been enjoying. Colen Crawford tweeted the names Fabrics, Joanne Fabrics,

1191
01:12:52,800 --> 01:12:58,120
Speaker 1: and uh rishakesh Rway, the host of Song Exploder, tweeted,

1192
01:12:58,160 --> 01:13:00,160
Speaker 1: the best part of quarantine is getting to hear your

1193
01:13:00,640 --> 01:13:06,840
Speaker 1: partners switched to business voice. That pretty funny um. And finally,

1194
01:13:07,720 --> 01:13:11,200
Speaker 1: Mike Sculland's tweeted, uh, I want to go to the

1195
01:13:11,240 --> 01:13:14,120
Speaker 1: movie so bad. I would watch one of those regal

1196
01:13:14,240 --> 01:13:18,840
Speaker 1: cinema student films about buying coke, uh, which such a

1197
01:13:19,080 --> 01:13:24,720
Speaker 1: specific yeah, or it's like yeah, you know how to

1198
01:13:24,960 --> 01:13:29,640
Speaker 1: use a fog machine and frame a shot? Um that

1199
01:13:29,880 --> 01:13:34,160
Speaker 1: those things are like a one minute advertisement against film

1200
01:13:34,240 --> 01:13:36,920
Speaker 1: school because it's just like, oh, yeah, the l A

1201
01:13:37,040 --> 01:13:39,080
Speaker 1: Times in l A would be an l A Times one.

1202
01:13:39,160 --> 01:13:41,400
Speaker 1: Or it's like the newspaper that like in this city

1203
01:13:41,479 --> 01:13:43,400
Speaker 1: that that tells you how it's really made, and it

1204
01:13:43,439 --> 01:13:45,080
Speaker 1: would be one of a couple of things. There was

1205
01:13:45,160 --> 01:13:47,599
Speaker 1: like this bit where this guy shows up on set

1206
01:13:47,680 --> 01:13:49,080
Speaker 1: and he's like a p A and he gets to

1207
01:13:49,200 --> 01:13:52,000
Speaker 1: like the key p A or whatever, and the guy's like, yeah,

1208
01:13:52,000 --> 01:13:53,439
Speaker 1: I need you to get me a couple of forty

1209
01:13:53,479 --> 01:13:56,479
Speaker 1: seven wrench for that and a spinner and like whatever.

1210
01:13:56,600 --> 01:13:58,240
Speaker 1: And like the guy comes back, he's like, oh, where

1211
01:13:58,280 --> 01:13:59,960
Speaker 1: to get this? Where to get that? And he had

1212
01:14:00,120 --> 01:14:02,160
Speaker 1: everything except for the spinner and he's nervous and he

1213
01:14:02,240 --> 01:14:04,040
Speaker 1: comes back he's like here's this. He's like, but I

1214
01:14:04,120 --> 01:14:06,439
Speaker 1: don't have the spinner and he pulls out like one

1215
01:14:06,479 --> 01:14:10,320
Speaker 1: of those plastic coffee spoons and he's like, spinner And

1216
01:14:10,400 --> 01:14:12,240
Speaker 1: then like it's supposed to be like this lingo thing,

1217
01:14:12,320 --> 01:14:13,720
Speaker 1: but the joke is that he just needs something to

1218
01:14:13,800 --> 01:14:16,160
Speaker 1: mix his cream with his coffee. Another one was like

1219
01:14:16,240 --> 01:14:18,519
Speaker 1: a fully artist one where they're like they just showed

1220
01:14:18,520 --> 01:14:20,960
Speaker 1: you like they were wrapping celery and like a shammy

1221
01:14:21,200 --> 01:14:23,120
Speaker 1: and like hitting it against a punching bag and they're like,

1222
01:14:23,120 --> 01:14:24,519
Speaker 1: and that's how a punch sound is made. And I

1223
01:14:24,640 --> 01:14:28,040
Speaker 1: was it was weird. It demystified how sounds are made.

1224
01:14:28,040 --> 01:14:30,680
Speaker 1: It almost kind of made me angry because I was

1225
01:14:30,720 --> 01:14:32,760
Speaker 1: a kid. I'm like, what the funk? Like they're not

1226
01:14:32,800 --> 01:14:36,800
Speaker 1: actually ship yeah, like it's not recorded live in the movie,

1227
01:14:36,880 --> 01:14:41,880
Speaker 1: like they're that Okay. Whatever. You can find me at

1228
01:14:42,040 --> 01:14:45,200
Speaker 1: Jack Underscore O'Brien on Twitter. You can find us on

1229
01:14:45,280 --> 01:14:48,040
Speaker 1: Twitter at daily Ze. Guys were at the Daily Zoegeist

1230
01:14:48,160 --> 01:14:50,960
Speaker 1: on Instagram. We have a Facebook fan page and a

1231
01:14:51,080 --> 01:14:53,880
Speaker 1: website Daily's like guys dot com. Why we posted our

1232
01:14:53,920 --> 01:14:56,479
Speaker 1: episodes and our footnotes where we really off to the

1233
01:14:56,520 --> 01:14:59,599
Speaker 1: information that we talked about today's episode as well as

1234
01:14:59,640 --> 01:15:01,439
Speaker 1: let's saw we ride out on what's that going to

1235
01:15:01,479 --> 01:15:04,000
Speaker 1: be today? Look, it's Friday. It's time to get your

1236
01:15:04,040 --> 01:15:06,920
Speaker 1: hips loose, it's time to get your body swiveling. You

1237
01:15:07,000 --> 01:15:09,400
Speaker 1: look if you're lonely, seduce yourself in the mirror to

1238
01:15:09,479 --> 01:15:11,840
Speaker 1: this song, because if this, if this track doesn't get

1239
01:15:11,880 --> 01:15:15,400
Speaker 1: your body moving like a snake, I don't know what whale.

1240
01:15:15,479 --> 01:15:18,439
Speaker 1: This track is called girl, but it's spelled with three

1241
01:15:18,680 --> 01:15:22,120
Speaker 1: us and it's by lap A Looks and it's very sensual.

1242
01:15:22,560 --> 01:15:24,360
Speaker 1: And then that beast is gonna drop and you will

1243
01:15:24,400 --> 01:15:26,479
Speaker 1: start body rolling in front of your mirror. I can't,

1244
01:15:26,560 --> 01:15:29,360
Speaker 1: I cannot, you know, I don't. I'm not responsible for

1245
01:15:29,439 --> 01:15:32,200
Speaker 1: what happens after that. But if again, let this song

1246
01:15:32,320 --> 01:15:34,640
Speaker 1: take over you get free to this track Girl by

1247
01:15:34,680 --> 01:15:38,400
Speaker 1: Lapper Looks alright. Well. The Daily Zeitgeist is a production

1248
01:15:38,439 --> 01:15:41,040
Speaker 1: of I Heart Radio. For more podcasts from my heart Radio,

1249
01:15:41,160 --> 01:15:44,200
Speaker 1: visit the I Heart Radio app, Apple podcast, or wherever

1250
01:15:44,240 --> 01:15:46,920
Speaker 1: you listen to your favorite shows. That's gonna do it

1251
01:15:47,000 --> 01:15:49,559
Speaker 1: for this morning, right into the weekend on that song,

1252
01:15:50,760 --> 01:15:53,479
Speaker 1: and we'll be back this afternoon to tell you what's trending.

1253
01:15:53,600 --> 01:16:21,040
Speaker 1: We'll talk to you then by to S S S.