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Speaker 1: Hello the Internet, and welcome to season two oh eight,

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Speaker 1: Episode two of Days. It's a production of I Heart Radio.

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Speaker 1: Sharp ear listeners will have heard my voice bounce off

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Speaker 1: of the exact contours of our studio. I'm back in

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Speaker 1: studio and Miles is not. So it doesn't really change anything.

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Speaker 1: But this is a podcast where we take a deep

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Speaker 1: dive into America's share consciousness. It is Tuesday, October. What

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Speaker 1: we what we're looking at for world Days? Oh, it's Tuesday.

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Speaker 1: It's look, we've got a few. It's National Mule Day,

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Speaker 1: It's National mince Meat, National Financial Crime Fighter Day. Hell yeah,

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Speaker 1: International Artists Day. Yeah, okay, yeah, I mean I think

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Speaker 1: I think we can all agree that mule and minced

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Speaker 1: meat too, that we can all focus on that are

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Speaker 1: relevant to us all here in this model. And I

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Speaker 1: guess the mule to our a jack in your version

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Speaker 1: jack for a donkey. So yeahs around I do. Anytime

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Speaker 1: someone mentions the mule, I correct them and say, no,

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Speaker 1: it's a jack. Okay, a male donkey's a jack. Yeah.

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Speaker 1: Come on, Oh, I didn't realize a mule is a

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Speaker 1: hybrid between a donkey and a horse. Yeah. Yeah, And

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Speaker 1: it's damn I'm ignorant, okay, unrepled like they can't reproduce,

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Speaker 1: I don't think, but they are the minced meat of

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Speaker 1: animals in the sense that nobody gives them their propers.

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Speaker 1: I am embarrassing myself at the local bars. Clubs don't

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Speaker 1: want what a mule is. Well, yeah, anyways, shout out

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Speaker 1: to artists or whatever. My name is Jack O'Brien ak.

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Speaker 1: Making your way through squid games takes all the tubes

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Speaker 1: you got living through late stage capitalism. I'm sure to

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Speaker 1: suck a lot. Isn't it time to smoke a jay?

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Speaker 1: Sometimes you gotta know anti backs or are insane. But

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Speaker 1: there comes for sale again. But we can't believe the

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Speaker 1: ship we see. It's the same again and again. We

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Speaker 1: want to be where capitalism dies in flames. That is

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Speaker 1: courtesy of Chauncy Yonders. I'm detecting some gains in there,

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Speaker 1: so I'm thinking Chauncey as if the name wasn't enough,

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Speaker 1: Chauncey maybe from the UK, But shout out to that

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Speaker 1: man and I am thrilled to be joined. As always

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Speaker 1: buy my co host Mr Miles grass I got these

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Speaker 1: loose cans and my car messing up my ride care's

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Speaker 1: a call the girl brute lose cans and my car

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Speaker 1: I'm a ride with you. Can that dec brew? Okay?

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Speaker 1: The discord. As I said, my car is a veritable

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Speaker 1: Morocco of empty cans passengers, just don't worry. It might

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Speaker 1: I might as well be on a motorcycle because I'm

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Speaker 1: not fitting ship in here. But thank you for that.

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Speaker 1: Just wonderful, good as hell treatment of that. Yeah, that

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Speaker 1: was beautiful. By the way, I should mention that my

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Speaker 1: a K was a rejected version of Squid Games that

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Speaker 1: was going to be their theme, so but they wanted

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Speaker 1: the right decision. But really, yeah, I kind of like that.

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Speaker 1: I like, yeah, okay, that is pretty good, you know

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Speaker 1: what I mean. But I do like it. Cheers. I

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Speaker 1: had that one goal was to get through some squid

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Speaker 1: game this weekend, and I did not succeed. I'm just

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Speaker 1: I know I'm gonna have this ship spoiled for me

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Speaker 1: like any moment now. And usually I don't give a

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Speaker 1: funk about spoilers, but we're in the phase of the

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Speaker 1: discourse where now people are putting out there like analysis

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Speaker 1: videos as well they should. This is my fault. I'm

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Speaker 1: not blaming anyone that's like, that's okay. You know, I'm

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Speaker 1: I'm furious with myself, Miles. We're thrilled, fortunate, blessed to

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Speaker 1: be joined in our third seat by one of the

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Speaker 1: smartest people I know. She's a producer here in the

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Speaker 1: I Heart Radio, l a podcast studio, helping to create

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Speaker 1: shows like Fake Doctor's Real Friends, fabulous writer who you

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Speaker 1: can read it. So it's like, I don't know Vulture,

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Speaker 1: the Club, Vogue, Faced, The Advocate, and many more. She

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Speaker 1: is the brilliant, the talented Joel mon I miss your faces.

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Speaker 1: We're back in little screen form today. Yeah with you,

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Speaker 1: oh man. Insecure is back, so I feel fulfilled insecurity

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Speaker 1: me back to like when social media was good. You know,

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Speaker 1: I don't mean like altruistically good, but I just mean

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Speaker 1: like you went there and he dumped your feelings that

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Speaker 1: we were able to make jokes and she was it

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Speaker 1: was fun. Social media not fun no more, and I

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Speaker 1: don't like that. But when it's kars On, you get

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Speaker 1: a brief window. People come on, We're talking about the

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Speaker 1: show live as it's happening. Remember we used to do that.

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Speaker 1: It's wonderful. Yeah, And it's kind of like, especially with

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Speaker 1: this coming back with the final season. I think it's

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Speaker 1: also reminding people of like how TV should be and

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Speaker 1: that it should be fucking released one week at a time.

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Speaker 1: The more I've I do I see the binge drops,

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Speaker 1: I'm like, because I've been reading a few articles just

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Speaker 1: about like the speed at which we communicate now because

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Speaker 1: of the Internet, we are like we're sociologists. I'm like,

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Speaker 1: are actually raising a question of like are we talking

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Speaker 1: too much all the time as a podcast? I can

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Speaker 1: confirming please let it stop. But the idea that like

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Speaker 1: we don't have the same flow of culture when you

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Speaker 1: just do these huge binge drops, because for one week,

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Speaker 1: you can have all this discussion about one episode for

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Speaker 1: an entire week, and then the next one drops, and

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Speaker 1: then people are starting engaged in like the same pace,

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Speaker 1: whereas now like even with Jack talking about squid Game,

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Speaker 1: it's all over the place. Now you're like, fun, you

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Speaker 1: do I even watch anymore? Because I missed the wave,

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Speaker 1: Like it's just it's chaos. It's chaos. Yeah. Time to

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Speaker 1: process used to be my bread and butter when I

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Speaker 1: was writing for all of these sites, and like, you know,

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Speaker 1: you needed that time to really like break it down

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Speaker 1: and anily and then like it also helps elevate I think,

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Speaker 1: like our understanding of the quality of something. The more

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Speaker 1: you start like critiquing it, the more reviews you're reading

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Speaker 1: of it, the more you're like, Okay, where do I

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Speaker 1: put this in like the pantheon of television shows? Like

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Speaker 1: where does it rank? And you can miss that like

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Speaker 1: Squid Game. It's amazing and I think obviously, you know,

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Speaker 1: has drawn a lot of attention, But in two to

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Speaker 1: three years, how will we remember that show? I don't Yeah,

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Speaker 1: we're just gonna remember the sweatsuit. Yeah, you know what

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Speaker 1: I mean. I don't think people are because and if

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Speaker 1: there were really long times to discuss one episode, people

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Speaker 1: could draw the parallels of the games to like what

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Speaker 1: it's you know, reflecting in society because of it. It's

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Speaker 1: just super fast baced like oh oh that happened, and

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Speaker 1: then it's just like a very long movie. Yeah, like

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Speaker 1: all the I was noticing that a lot of the

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Speaker 1: memes were from the first episode. Basically, I was like,

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Speaker 1: are they being are people being kind and choosing not

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Speaker 1: to spoil which that could be part of it, But

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Speaker 1: I also feel like it was just like once it

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Speaker 1: became a thing, people were like, oh Ship, I gotta

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Speaker 1: I gotta get a squid game meme out there and

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Speaker 1: just rushing to market. Now me, I like to live

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Speaker 1: tweet things while I'm watching them, mainly just you know

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Speaker 1: what is happening on screen. I think that's good content.

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Speaker 1: Tell people yeah, to be like oh ship like sometimes

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Speaker 1: not even telling them why they going back. He going

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Speaker 1: back to the game. Wow, good thing. The old man

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Speaker 1: has some commune noodles to eat with the sold Okay,

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Speaker 1: this is the worst Twitter feed I've ever seen. I

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Speaker 1: like to give Magic Johnson style Vanilla down the Middle

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Speaker 1: takes on a pop culture as I'm consuming it. I

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Speaker 1: think that is what Twitter is for. Joel. We are

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Speaker 1: going to get to know you a little bit better

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Speaker 1: in a moment. First, let's tell the listeners a few

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Speaker 1: of the things we will be talking about later in

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Speaker 1: the show. When we get to the news. We're gonna

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Speaker 1: talk about the santis. He is welcoming the anti vax

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Speaker 1: Cops with open arms, those brave heroes, the anti vax Cops,

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Speaker 1: creating some of my favorite just you know, dramatic, messy

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Speaker 1: content where they're like, these are the boots of our

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Speaker 1: fallen brothers who refused to get there. The vaccine, so

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Speaker 1: we'll talk about that. We'll talk about business owners kind

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Speaker 1: of still trying to figure out what what what change?

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Speaker 1: What happened? We're used to starving people into doing what

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Speaker 1: we asked them to do. What they don't the old ways,

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Speaker 1: only the new. We will talk about whether it matters

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Speaker 1: if the strawberry pop tarts are filled with real strawberries.

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Speaker 1: We might get to this David Graber book that's coming

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Speaker 1: out about the reevaluation of the narrative of history, but

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Speaker 1: we we do have to talk about pop tarts before

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Speaker 1: we get to that bullshit. All of that plenty more.

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Speaker 1: But first, of course, Joel Monique, we do like to

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Speaker 1: ask our guests, what is something from your search history.

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Speaker 1: I have been obsessively googling the Bull schedule, trying not

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Speaker 1: to miss a game. My father and my brother are

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Speaker 1: very excited about this season. We got some new players,

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Speaker 1: it's hot, undefeated, what And it was sort of like

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Speaker 1: a very weird come back to the Bull because it's

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Speaker 1: not even really about the basketball, although you know, I'm like, oh, fundamentals,

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Speaker 1: pass that ball, like get it to the hoop. Maybe

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Speaker 1: that's a value. I don't know, but it gives me,

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Speaker 1: you know, I'm my folks are from Chicago and growing

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Speaker 1: up in the nineties, the Bulls were everything. My dad

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Speaker 1: has been a Bulls fan for life. Doesn't matter what

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Speaker 1: phase the team is in, he's right or die. And

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Speaker 1: something about watching it is sort of feels like being

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Speaker 1: reconnected to him. I think specifically because pandemic and I'm

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Speaker 1: second California and he's you know, in Illinois, and we're

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Speaker 1: not getting to see each other much, especially over the past,

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Speaker 1: Like you see my father for a handful of days

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Speaker 1: over the past four years. So it's been hard. So

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Speaker 1: it's nice to have something that happens, you know, once

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Speaker 1: maybe twice a week, where we're like sort of checking in,

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Speaker 1: you know, about something very frivolous too. It's not like, oh,

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Speaker 1: I have news or something to update you on. And

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Speaker 1: it's kind of been a lovely experience. Yeah. That's also. Yeah,

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Speaker 1: and let's see, that's like your TV show that you

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Speaker 1: can watch with your dad, where here's the episode, is

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Speaker 1: the game, you have your takes and then yeah, keep

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Speaker 1: the conversation going's oh man, I wish it's it's nice

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Speaker 1: to see the Bulls, you know, looking good. I'm not

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Speaker 1: mad at that at all. It's it's heavenly and hit.

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Speaker 1: To your point, there's not a lot of intergenerational TV

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Speaker 1: shows that are super hitting right now. You know, the

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Speaker 1: Game of Thrones used to be are checking all to

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Speaker 1: every like, oh did you see I can't believe And

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Speaker 1: then he'd be like, who is this person? And I'd

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Speaker 1: be like, okay, let me break it down for you.

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Speaker 1: This is what's going on. But now you can do

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Speaker 1: that for me. Tell me the stats and where they're

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Speaker 1: at and where they came from and where's that's really nice. Yeah,

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Speaker 1: sports is great because it doesn't matter so much. As

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Speaker 1: long as you keep that in the back of your

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Speaker 1: head as the reason sports is great. It doesn't matter.

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Speaker 1: It doesn't matter, it doesn't matter, doesn't matter. Yeah, because

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Speaker 1: otherwise I just I love sports. I can't stand sports media.

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Speaker 1: It just gets very I'm trying to have another like

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Speaker 1: Rumble in the Palace and I already go like seeing

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Speaker 1: the big brawls right right? What is something you think

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Speaker 1: is overrated? Joel? Okay, here we go. Instagram reels highly overrated?

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Speaker 1: Please close to your story. If there's the same sixteen

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Speaker 1: songs and worse than that, it's the same five second

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Speaker 1: clips from those sixteens songs over and over and over again,

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Speaker 1: and they've tricked me because it's got the same scroll

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Speaker 1: as a Twitter, and so I'm like, I gotta what's next.

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Speaker 1: And then like half an hour later, I'm like, why

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Speaker 1: am I still looking at? I don't care about and

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Speaker 1: I don't know these people because they're showing me randoms.

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Speaker 1: I very rarely care because they keep are like here's

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Speaker 1: like white women from Middle America doing something like, well,

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Speaker 1: I don't care about any of these people, like where

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Speaker 1: are my friends? What's happening? It is a left up

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Speaker 1: system that Facebook creative so that like young people would

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Speaker 1: continue to interact with their content at a high frequency

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Speaker 1: because they know. The influencers were like they changed up

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Speaker 1: the algorithm. They were like, listen, you gotta post. I

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Speaker 1: think it's like twice to your story and three or

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Speaker 1: four times to your reel over so many days, and

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Speaker 1: that's how it's going to keep your numbers up and activated,

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Speaker 1: and your numbers are how you get paid. But real suck,

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Speaker 1: like they're not enjoyable to watch percent of the time,

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Speaker 1: and I wish we could end them, but they're addictive,

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Speaker 1: and so I don't think they're gonna go away. It's

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Speaker 1: that that was just their response to be like, Okay,

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Speaker 1: we need a little bit longer form thing to compete

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Speaker 1: with TikTok, right, And but then you're like you're saying

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Speaker 1: it's like the same. How many times am I gonna

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Speaker 1: hear that paramore still into you drill remix when it's

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Speaker 1: like I should be over all the butterflies, like yeah,

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Speaker 1: but then it's a drill remix. Okay, wait, so I'm

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Speaker 1: not I'm not familiar, but is they got the rights

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Speaker 1: to these songs and like there's no nonful that Oh

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Speaker 1: you're just saying that, Like it's like in TikTok, there's

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Speaker 1: like you know, there's certain full of songs that they'll

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Speaker 1: put with a video truck and it just becomes like

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Speaker 1: the theme the texture. Yeah. I so I don't fu

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Speaker 1: with Instagram that much. But and you thought of be

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Speaker 1: like a real like a person in the industry, Like

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Speaker 1: so they got rights and clearances to those audios to

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Speaker 1: be presentage and publicly thought that would be a funny,

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Speaker 1: that would be a funny angle for them to take

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Speaker 1: them where they're like, our product is the same, but

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Speaker 1: it's you know, these sixty songs that we got the

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Speaker 1: rights too. We secured Happy Birthday, So you know, it's

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Speaker 1: like because I got ticked Gus Flagrant, you know what

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Speaker 1: I mean, do anything. But then there's also a bunch

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Speaker 1: of cool remixes that you hear. I'm there too, Yeah,

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Speaker 1: for sure. But the Twitter algorithm had this story about

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Speaker 1: I just wanna give you a direct quote, but it

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Speaker 1: was like about Zendaia and uh there Zendia and Timothy

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Speaker 1: shallow May, and it like it just stayed in my

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Speaker 1: trending for like four days and I don't know if

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Speaker 1: it's still there, but it's it will not they will

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Speaker 1: not leave me alone with this ship, and I'm just wondering,

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Speaker 1: like what they what they think they're getting. So the

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Speaker 1: story is Timothy shallow May called Zendia out for her

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Speaker 1: relationship with Tom Holland and its peak bestie dude. That's

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Speaker 1: like from nine days ago. I feel like I saw

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Speaker 1: got in the margins and Twitter like last week. Yeah yeah, no,

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Speaker 1: it was it was last week for sure, but it

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Speaker 1: was it was following me around Twitter for like days

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Speaker 1: and like, I I don't know, like, what what do

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Speaker 1: they think? Again? I really think it's a in an

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Speaker 1: attempt to get a younger generation to interact more with

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Speaker 1: the app because if you like, Zandia and Timothy are

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Speaker 1: sort of the not dating equivalent of Justin and Brittany

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Speaker 1: from a previous generation. Like they're insanely gorgeous, they are everywhere.

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Speaker 1: Everyone wants to be them, Everyone's copying their styles, you know,

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Speaker 1: there's and then if you go into the mix, everyone's

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Speaker 1: sort of like, what's Tom Holland? Things like he's not

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Speaker 1: on the carpets? What does it mean Tom Holland was?

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Speaker 1: It's just I think it's these are essentially and somebody

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Speaker 1: made a good point the other day that Zandia is

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Speaker 1: the only movie star for this generation as far as

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Speaker 1: box office appeal, people that are coming back to enjoy

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Speaker 1: and die over and over again. I just think these

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Speaker 1: are the people of the moment, and everybody's doing whatever

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Speaker 1: they can to be as close to them as possible. Right. Interesting,

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Speaker 1: But again, Senator O'Brien, this hearing was about Instagram. Real

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Speaker 1: We attention why that story on Twitter was in your margin,

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Speaker 1: But that's for saying what you own fence to, But

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Speaker 1: why don't you sell me fence to? Then if it's

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Speaker 1: not such a big part of me. Three of products,

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Speaker 1: sell me three fences, and uh, we'll be we'll be square. Yeah.

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Speaker 1: I think that's a good point. I think Twitter is

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Speaker 1: bad at this, which is probably the reason it appeals

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Speaker 1: to me so much. Is like they suck at targeting me.

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Speaker 1: Like I never feel like, ah, they got me with

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Speaker 1: this one. Yeah. It's just like they have this BuzzFeed

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Speaker 1: story that they're getting good sort of feedback on from

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Speaker 1: people across America, and they're like, come on, this guy,

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Speaker 1: this guy is gonna fucking love this. It says peak bestie,

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Speaker 1: let's go read anything. But it feels like it's intentionally

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Speaker 1: designed for like thirty to fifty year old in the

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Speaker 1: same way that Facebook now feels like it's designed for

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Speaker 1: like eight year olds. And I like being in my group.

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Speaker 1: I like hanging out here. We're just like words. Yeah,

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Speaker 1: is half funny joke. Goodnight. I don't have to. I

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Speaker 1: don't have the energy to dance. That's for the young

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Speaker 1: kids on I all have time to learn all the

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Speaker 1: new dances. God bless them. Like, go for it. I

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Speaker 1: did the sanky leg in my day. Shout out to

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Speaker 1: Shout out to Insecure for reminding me that existed. You

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Speaker 1: know it's cool, right, right exactly? They got me out

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Speaker 1: here doing drill moves in front of my ma's Dona

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Speaker 1: ship on the street. My knees can't handle it, Joel,

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Speaker 1: what is something you think is underrated? Okay, hear me out.

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Speaker 1: Ad breaks in television shows. So I've been rewatching season

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Speaker 1: three of You, which is on Netflix formerly on Lifetime,

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Speaker 1: where you need ad breaks because that's how they're playing

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Speaker 1: the bills. Netflix does not require them and so therefore

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Speaker 1: not necessary. But they're like, we're just gonna stick to

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Speaker 1: that old format. And there's something exquisite about a show

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Speaker 1: being like this is a good place to pause, Like

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Speaker 1: we designed this for you to step away. We were

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Speaker 1: talking about streaming and and the impact that has had

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Speaker 1: on our ability to focus and how it impacts are

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Speaker 1: like consuming of potentially like really great shows, but they

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Speaker 1: go by so fast. I think there's something it's truly

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Speaker 1: wonderful about just being able to be like I'm just

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Speaker 1: gonna pause here, or even okay, now take a breath,

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Speaker 1: Like you can set up a scene, you know, from

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Speaker 1: like a writer's perspective and entirely different space, like a

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Speaker 1: time jump works really well. If you've built in and

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Speaker 1: now we're going to commercial break, whether you take that

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Speaker 1: break or not. And I think we don't really think

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Speaker 1: about those anymore, you know, especially in the streaming world,

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Speaker 1: where every episode is again, you know, a movie essentially.

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Speaker 1: I really liked it. I liked being able to be

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Speaker 1: like and I wanna pause and grab a snack. This

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Speaker 1: is a bathroom break pause. It was just there's something

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Speaker 1: about it that makes I don't know if it's a

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Speaker 1: nostalgic thing or if it's I just genuinely prefer the flow,

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Speaker 1: but liked it. Yeah. I think there's also like, you know,

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Speaker 1: we lose things like remember you should be like if

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Speaker 1: with your parents, to be like, okay, let me just

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Speaker 1: to the commercial and then I'll do that thing, you

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Speaker 1: know what I mean, let me okay, let me just

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Speaker 1: get to the commercial break and I'll call you back.

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Speaker 1: Type things we've that's like a whole thing we don't

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Speaker 1: do anymore. But yeah, like to your point about writing,

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Speaker 1: I see it in like other shows too, where they'll

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Speaker 1: be like on streaming services, like I think the Other

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Speaker 1: two still does it too, like on HBO Max where

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Speaker 1: they still have like commercial breaks, and I'm like that's right.

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Speaker 1: That's kind of like a trope like within TV shows

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Speaker 1: or just this this thing that you need that like

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Speaker 1: you're saying, it doesn't create like very jarring time jumps

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Speaker 1: or things like that, or just it gives you little

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Speaker 1: you know, punctuation on like and and to be fair,

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Speaker 1: I think there's things like Game of Thrones would never

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Speaker 1: need you don't need to go commercial break, like we're

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Speaker 1: strapped in for this entire experience Let's rock. But I

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Speaker 1: think if you have a show that sort of lends

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Speaker 1: itself to that, there's there's it's almost like chapters, which

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Speaker 1: is like a very essential part of you that the

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Speaker 1: main characters obsessed with books, and so there's like a

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Speaker 1: feeling of like this chapter, this chapter, this chapter, book end.

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Speaker 1: I just think it's a great framing device. And what

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Speaker 1: I'm saying is, if you write for streaming shows, maybe

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Speaker 1: consider does this framing device elevate my storytelling? Okay, right, yeah,

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Speaker 1: I like that somebody being obsessed with books like that

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Speaker 1: feels like quaint and like a quirky character decision, like

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Speaker 1: this guy is really into these things books. He fixes

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Speaker 1: listen Jack. If it is women are come down by

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Speaker 1: the serial killer they don't know how to process it.

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Speaker 1: It's it's a lot. He fixes old books, he restores

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Speaker 1: them to perfection. If you're a book girl, Ben Spines

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Speaker 1: or like when people were like, oh, I just dog

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Speaker 1: ear the page just to freak me out. As it's

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Speaker 1: a book that's precious, what do you have to be

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Speaker 1: gentle with it? I had a friend much more obsensive

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Speaker 1: books than I was. Forced everyone to wash their hands

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Speaker 1: like properly before you picked up any of her books.

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Speaker 1: Dead serious about it. Books are a love language. Okay,

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Speaker 1: so it's like the next level. It's not like I

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Speaker 1: read these things called books. Know. He takes care of

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Speaker 1: him because it's the only thing he can connect with

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Speaker 1: because he leaves in a fantasy world because he's serial killer. Yes,

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Speaker 1: I'm into him already seen badly you would be, I know,

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Speaker 1: I've seen him Dan from Gossip Girl, Yes, perfect. Yeah,

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Speaker 1: he was like supposed to be the like kind of

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Speaker 1: sensitive dorky one and gossip Girl and he's like the

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Speaker 1: best looking dude. Like it's like debate, but yes he's

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Speaker 1: pretty good looking at the dork like he eats their own.

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Speaker 1: We don't want to kick off a whole debate because

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Speaker 1: you've seen Jack's binder. He brings to class with the

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Speaker 1: transparent outside filled with his Pen Badgley collages. Yeah, and

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Speaker 1: to be fair, I also have some of the other

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Speaker 1: actors from Yeah, it's not just Penn Badley, but he

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Speaker 1: definitely is. I know. I just don't want people to

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Speaker 1: think that I'm only in de pen. I don't wonder alight.

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Speaker 1: And that restraining order, I get it mere miscommunication between

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Speaker 1: the police department, the Superior Court, and Penn Badgley's manager.

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Speaker 1: I think it's his way of like sending a message

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Speaker 1: to me. It's like his love language is making these complaints,

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00:22:18,000 --> 00:22:20,600
Speaker 1: but the complaints are actually like flirting kind of ye,

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Speaker 1: get away from me, like the tone. He's definitely all right,

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

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Speaker 1: we're back, and all right, let's talk about Rhonda Santis,

404
00:22:48,840 --> 00:22:54,199
Speaker 1: Greg Abbott. The conservative ship bag off that we have

405
00:22:54,400 --> 00:22:58,719
Speaker 1: been waiting for continues just going toe to toe on

406
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Speaker 1: who can be the shitty has gore in America and

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00:23:01,640 --> 00:23:05,320
Speaker 1: Brown is making some serious moves. Yeah, he's making kissy

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Speaker 1: face at the anti vax crowd because he's letting people know,

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Speaker 1: you know, over the weekend he announced that I want

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Speaker 1: to make this place haven for unvaccinated cops and first responders.

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Speaker 1: I want them to know that Florida is a place

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Speaker 1: that will accept them and accept them with arms wide COVID.

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Speaker 1: And this dude just listen to his plan. He announces

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Speaker 1: like his his really awesome incentive plan to bring anti

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Speaker 1: vax to Florida, and how cool he is. Just well, first,

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Speaker 1: I think it's hard to point out on a scientific basis,

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Speaker 1: most of those first responders have had COVID and have recovered,

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Speaker 1: so they have strong protection. Uh. And so I think

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Speaker 1: that influences their decision on a lot of this that

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Speaker 1: they have already had it and recovered. Uh. And so

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Speaker 1: they're not they're making no accommodations for that. They're still

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Speaker 1: pretending like that doesn't even exist. Uh. And so that's

423
00:23:58,480 --> 00:24:01,160
Speaker 1: really really troubling when you see that. But I can

424
00:24:01,200 --> 00:24:03,879
Speaker 1: tell you Maria and Florida, not only are we gonna

425
00:24:03,920 --> 00:24:06,600
Speaker 1: want to protect the law enforcement and all the jobs,

426
00:24:07,000 --> 00:24:09,840
Speaker 1: we're actually actively working to recruit out of state law

427
00:24:09,920 --> 00:24:12,560
Speaker 1: enforcement because we do have needs and our police and

428
00:24:12,560 --> 00:24:15,640
Speaker 1: our sheriff's departments. So in the next legislative session, I'm

429
00:24:15,640 --> 00:24:18,520
Speaker 1: gonna hopefully sign legislation that gives a five thousand dollar

430
00:24:18,600 --> 00:24:21,959
Speaker 1: bonus anny out of state law enforcement that relocates in Florida,

431
00:24:22,040 --> 00:24:25,560
Speaker 1: So NYPD, Minneapolis, Seattle. If you're not being treated well,

432
00:24:26,119 --> 00:24:28,760
Speaker 1: we'll treat you better here. You can feel important needs

433
00:24:28,760 --> 00:24:32,480
Speaker 1: for us, and we'll compense h as a result. Hell yeah,

434
00:24:32,520 --> 00:24:40,960
Speaker 1: oh sick dude. Yeah, scientists a hero, but what a magnet?

435
00:24:41,000 --> 00:24:44,080
Speaker 1: Get these cops out of here. I feel like the

436
00:24:44,119 --> 00:24:47,000
Speaker 1: best thing to do is some other space needs to

437
00:24:47,040 --> 00:24:49,960
Speaker 1: be Like black and brown citizens of Florida will offer

438
00:24:50,000 --> 00:24:53,640
Speaker 1: you five thou dollars to escape, Like come up here.

439
00:24:53,680 --> 00:24:56,120
Speaker 1: You know everything's up from Florida, so wherever that means

440
00:24:56,160 --> 00:24:57,960
Speaker 1: to you, Like, come up here. We'll give you a

441
00:24:57,960 --> 00:25:00,119
Speaker 1: little money, Like you don't have to worry about you

442
00:25:00,160 --> 00:25:04,199
Speaker 1: can help build beautiful communities away from what you've been

443
00:25:04,200 --> 00:25:07,440
Speaker 1: thinking about leaving anyway. Honestly, if you're black and brown Florida,

444
00:25:07,440 --> 00:25:09,840
Speaker 1: you've contemplated it. He did, He's done it all with

445
00:25:09,960 --> 00:25:13,440
Speaker 1: this that little sound bite there. He came out swinging

446
00:25:13,560 --> 00:25:16,800
Speaker 1: with a debunked myth that anyone who has COVID is

447
00:25:16,840 --> 00:25:21,600
Speaker 1: already immune, no need for a vaccine, because yeah, why

448
00:25:21,680 --> 00:25:23,800
Speaker 1: why are they so scared of the vaccine, then is

449
00:25:23,840 --> 00:25:27,919
Speaker 1: it if they've already had it and the vaccine. I

450
00:25:27,920 --> 00:25:31,359
Speaker 1: mean even he's had the vaccine, right, And it's this

451
00:25:31,480 --> 00:25:34,399
Speaker 1: like really just in your face double speak that no

452
00:25:34,440 --> 00:25:36,800
Speaker 1: one in the base is willing to confront. They're like,

453
00:25:36,840 --> 00:25:41,359
Speaker 1: but Donald Trump, all y'all are vaccinated, but then saying

454
00:25:41,440 --> 00:25:43,840
Speaker 1: don't do so where does that put me? Am I

455
00:25:43,960 --> 00:25:47,280
Speaker 1: upon in this game? I don't know, maybe, but yeah,

456
00:25:47,440 --> 00:25:49,959
Speaker 1: he goes off with that myth, then he really just

457
00:25:50,400 --> 00:25:53,560
Speaker 1: truly wants to make himself the patron saint of anti

458
00:25:53,640 --> 00:25:56,960
Speaker 1: vaxer's and Florida be the church in that, like, you know,

459
00:25:57,280 --> 00:25:59,879
Speaker 1: just saying come come through, because I'll also do that

460
00:26:00,000 --> 00:26:02,560
Speaker 1: being true to form to any Republican conservative, I have

461
00:26:02,600 --> 00:26:05,159
Speaker 1: to do the exact opposite of what a lib would do.

462
00:26:05,320 --> 00:26:07,800
Speaker 1: And I think in this case, maybe he's doing the

463
00:26:07,880 --> 00:26:11,879
Speaker 1: opposite of do Blasio, who was giving five dollars to

464
00:26:12,080 --> 00:26:16,199
Speaker 1: people to get to workers who got vaccinated. So this

465
00:26:16,240 --> 00:26:18,320
Speaker 1: time he's like, I'll give you five thousand to not

466
00:26:18,400 --> 00:26:21,640
Speaker 1: get vaccinated, leave your job and come here. Still haven't

467
00:26:21,640 --> 00:26:25,000
Speaker 1: signed the bill yet, so don't move immediately. But it's

468
00:26:25,000 --> 00:26:27,240
Speaker 1: also you're like, wow, you you can just find five

469
00:26:27,280 --> 00:26:29,359
Speaker 1: thousand dollars for a group of people just like that.

470
00:26:29,480 --> 00:26:35,960
Speaker 1: Huh interesting. What would that do to a state if

471
00:26:36,040 --> 00:26:40,000
Speaker 1: just all the all the first of all cops, second

472
00:26:40,000 --> 00:26:43,040
Speaker 1: of all the ones who refused to get vaccinated, like

473
00:26:43,119 --> 00:26:46,760
Speaker 1: all moved to a single state like that, that would

474
00:26:46,760 --> 00:26:50,919
Speaker 1: be I mean, there's that stolen movie Copland that just

475
00:26:51,040 --> 00:26:54,680
Speaker 1: paints a picture of, you know, a paradise, a utopia

476
00:26:55,240 --> 00:26:59,680
Speaker 1: of just cops living with cops running, running everything, and

477
00:27:00,240 --> 00:27:04,280
Speaker 1: maybe there's a little corruption, but you know it's worth

478
00:27:04,280 --> 00:27:07,880
Speaker 1: it because you get you get to be with cops. Yeah,

479
00:27:08,080 --> 00:27:10,920
Speaker 1: I mean, you know, he's he's definitely trying to put

480
00:27:10,920 --> 00:27:14,399
Speaker 1: it together his like infinity stones for re election. He's like,

481
00:27:14,480 --> 00:27:19,280
Speaker 1: I've got racists, I've got some bag of people. I'm

482
00:27:19,400 --> 00:27:22,840
Speaker 1: I'm about to collect the anti vax stone and then

483
00:27:22,880 --> 00:27:24,879
Speaker 1: I'll need Q and on and I will make a

484
00:27:25,000 --> 00:27:29,520
Speaker 1: mighty fast to fucking swing through my reelection. Mm hmm.

485
00:27:30,400 --> 00:27:35,160
Speaker 1: The most unaccountable people in the country, you know, cops

486
00:27:35,359 --> 00:27:39,200
Speaker 1: who who get mad when you even watch a video

487
00:27:39,240 --> 00:27:44,040
Speaker 1: of them unjustifiably murdering someone and ask what they were doing.

488
00:27:44,200 --> 00:27:46,760
Speaker 1: And then the ones who refused to get the vaccine

489
00:27:46,800 --> 00:27:50,720
Speaker 1: on top of that is what what a boost to

490
00:27:50,880 --> 00:27:52,840
Speaker 1: the state of Florida. Can you imagine a ton of

491
00:27:52,880 --> 00:27:55,520
Speaker 1: people just moving like bankrupts the states. They're like, oh,

492
00:27:55,720 --> 00:27:59,440
Speaker 1: fuck man, what everybody at once? Ship? Okay, so we

493
00:27:59,520 --> 00:28:02,600
Speaker 1: don't five thousand, but here here's a here's a little

494
00:28:02,600 --> 00:28:05,399
Speaker 1: gift card to publics. Plus, I feel like every cop

495
00:28:05,640 --> 00:28:08,000
Speaker 1: wants to end up in Florida anyway, Like I feel

496
00:28:08,000 --> 00:28:13,560
Speaker 1: like he might be you know, right, but their Miami

497
00:28:13,720 --> 00:28:15,800
Speaker 1: Vice best lives or you know, there's a lot of

498
00:28:15,800 --> 00:28:18,639
Speaker 1: cops who go down there and retire. I don't know,

499
00:28:19,000 --> 00:28:22,240
Speaker 1: just just seems like he's gonna, he's gonna there's gonna

500
00:28:22,240 --> 00:28:24,600
Speaker 1: be a lot of takers. That's already. You can see

501
00:28:24,600 --> 00:28:28,440
Speaker 1: that New York Times piece. These these unvaccinated police officers

502
00:28:28,480 --> 00:28:31,920
Speaker 1: moved to Florida in hopes of attaining their Miami Vice dreams.

503
00:28:32,200 --> 00:28:36,439
Speaker 1: What they frowned was the opposite. What they found will

504
00:28:36,480 --> 00:28:41,160
Speaker 1: shock you. These are humans too, alright. Let's talk about

505
00:28:41,280 --> 00:28:44,480
Speaker 1: just that. There seems to be some confusion. That's what's

506
00:28:44,520 --> 00:28:48,400
Speaker 1: happening among business owners. You know, after unemployment benefits were

507
00:28:48,440 --> 00:28:51,760
Speaker 1: cut a few months ago, we we got to witness

508
00:28:51,920 --> 00:28:58,760
Speaker 1: American culture just kind of going to shock. The logic was,

509
00:28:58,880 --> 00:29:01,280
Speaker 1: if people have no fund actual support in a pandemic,

510
00:29:01,320 --> 00:29:04,080
Speaker 1: then they will have no choice but to return to

511
00:29:04,200 --> 00:29:09,320
Speaker 1: employers and except the the meager wages, the gruel more sir.

512
00:29:10,120 --> 00:29:13,160
Speaker 1: And it turns out that that has not happened, and

513
00:29:13,200 --> 00:29:16,000
Speaker 1: everyone's like, what the the heck? Even the New York

514
00:29:16,000 --> 00:29:20,200
Speaker 1: Times is like this, this worker shortage is really fucking Biden.

515
00:29:21,600 --> 00:29:25,040
Speaker 1: It's happening every time, Like from the beginning of talking

516
00:29:25,080 --> 00:29:30,400
Speaker 1: about lessening or lowering the subsidies or like unemployment benefits

517
00:29:30,440 --> 00:29:33,200
Speaker 1: that were extended to people, it's always been like, this

518
00:29:33,240 --> 00:29:35,480
Speaker 1: is gonna you know, the hopes of that more people

519
00:29:35,600 --> 00:29:38,480
Speaker 1: enter the workforce. It didn't happen the first time, the

520
00:29:38,560 --> 00:29:40,880
Speaker 1: second time, even in September when they took away the

521
00:29:40,880 --> 00:29:46,000
Speaker 1: three we're still the analysis is out there now. Still

522
00:29:46,040 --> 00:29:51,400
Speaker 1: nothing has changed. Absolutely nothing has changed. And you know,

523
00:29:51,560 --> 00:29:55,880
Speaker 1: I guess this like cruelty, first form of policymaking is

524
00:29:56,000 --> 00:29:59,360
Speaker 1: not having the intended effect. So you just look at

525
00:29:59,400 --> 00:30:02,040
Speaker 1: certain states, right, and states that cut the three check

526
00:30:02,320 --> 00:30:04,960
Speaker 1: the workforce, which is the number of people who either

527
00:30:05,040 --> 00:30:07,280
Speaker 1: have a job or looking for one, has risen no

528
00:30:07,400 --> 00:30:10,240
Speaker 1: more than it has in the states that maintained the payment,

529
00:30:11,000 --> 00:30:15,120
Speaker 1: so eke, Oh, so we just took people's on any way,

530
00:30:15,120 --> 00:30:17,600
Speaker 1: and it's still not forcing them back to work. And

531
00:30:18,000 --> 00:30:20,880
Speaker 1: you know, they've they've shown in some places that like

532
00:30:21,120 --> 00:30:25,360
Speaker 1: the overall workforce actually shrank that month where they cut

533
00:30:25,400 --> 00:30:28,120
Speaker 1: off the payments, So it went the complete opposite way.

534
00:30:28,120 --> 00:30:30,760
Speaker 1: There wasn't even an uptickers people like, oh, absolutely not.

535
00:30:30,920 --> 00:30:33,720
Speaker 1: Then fuck it, I'm because the whole thing is we're

536
00:30:33,720 --> 00:30:36,920
Speaker 1: not being paid enough to subject ourselves to whatever it is,

537
00:30:36,960 --> 00:30:40,360
Speaker 1: the shitty of work environments, the hard labor, or just

538
00:30:40,440 --> 00:30:43,000
Speaker 1: maybe the risk of being infected with COVID just not

539
00:30:43,120 --> 00:30:45,920
Speaker 1: even arising to a level that is worth it. And

540
00:30:45,960 --> 00:30:49,000
Speaker 1: then you've seen in even some states there were like

541
00:30:49,240 --> 00:30:52,360
Speaker 1: less people working than before. Quote, in Wyoming, fewer people

542
00:30:52,360 --> 00:30:54,360
Speaker 1: are in the workforce now than when the state cut

543
00:30:54,400 --> 00:30:58,320
Speaker 1: off all emergency jobless aid. Fear of contracting COVID likely

544
00:30:58,400 --> 00:31:01,240
Speaker 1: discouraged some people from seeking jobs. Wyoming is one of

545
00:31:01,280 --> 00:31:03,640
Speaker 1: the lowest vaccination rates in the country and has been

546
00:31:03,640 --> 00:31:06,200
Speaker 1: a COVID nineteen hotspot since the late summer. The surgent

547
00:31:06,280 --> 00:31:09,800
Speaker 1: infections maybe causing some parents to keep their children home.

548
00:31:10,360 --> 00:31:13,600
Speaker 1: So no matter which way you look at it, the

549
00:31:14,440 --> 00:31:17,480
Speaker 1: turning the cruelty up to five million isn't going to

550
00:31:17,640 --> 00:31:21,040
Speaker 1: force people back to work, like And it's odd because

551
00:31:21,080 --> 00:31:24,320
Speaker 1: every time you'll see like these analyzes from like banks

552
00:31:24,320 --> 00:31:27,040
Speaker 1: and stuff being like, oh like quite the opposite seemed

553
00:31:27,040 --> 00:31:33,240
Speaker 1: to have happened. Huh Yeah, yeah, forecasters are really flummixed. Yeah.

554
00:31:33,280 --> 00:31:34,920
Speaker 1: I feel like I've seen that the headline like a

555
00:31:35,320 --> 00:31:37,840
Speaker 1: number of times. What's good. I feel like there's a

556
00:31:37,880 --> 00:31:41,040
Speaker 1: whole bunch of contributing factors for like the American workforce

557
00:31:41,080 --> 00:31:44,000
Speaker 1: being like, you know, I'm just like, on top of

558
00:31:44,040 --> 00:31:48,000
Speaker 1: I'm not interested in contracting a deadly virus. On top

559
00:31:48,080 --> 00:31:50,840
Speaker 1: of you know, the way we've been treated as workers

560
00:31:50,920 --> 00:31:54,040
Speaker 1: is ridiculous, like the advent of the Internet and allowing

561
00:31:54,120 --> 00:31:57,959
Speaker 1: us like an opportunity to create our own companies and

562
00:31:58,000 --> 00:32:00,400
Speaker 1: develop money that way, I think it's changed a lot

563
00:32:00,440 --> 00:32:01,560
Speaker 1: of people, and a lot of people are just like

564
00:32:01,680 --> 00:32:04,160
Speaker 1: I'm just gonna go for my dream, Like I could

565
00:32:04,200 --> 00:32:07,000
Speaker 1: die tomorrow. It's very scary out there. I might as

566
00:32:07,000 --> 00:32:11,760
Speaker 1: well try to see my my Walmart job. And I mean,

567
00:32:11,840 --> 00:32:14,360
Speaker 1: you have been respected there at all, and I w

568
00:32:14,520 --> 00:32:16,960
Speaker 1: I have enough to make end me either way. So

569
00:32:17,040 --> 00:32:19,160
Speaker 1: I don't. I just like consolidate my family. A lot

570
00:32:19,200 --> 00:32:21,000
Speaker 1: of families are moving back in together, and like we

571
00:32:21,040 --> 00:32:24,880
Speaker 1: can cover our bills together as a famine it and

572
00:32:24,920 --> 00:32:28,000
Speaker 1: make it stretch. And I think on top of that,

573
00:32:28,040 --> 00:32:30,960
Speaker 1: you have an entire like as a millennium generation becomes

574
00:32:31,040 --> 00:32:35,040
Speaker 1: the like you know, dominant force in the workforce. There's

575
00:32:35,080 --> 00:32:38,040
Speaker 1: a lot of us, you know. I remember in college,

576
00:32:38,040 --> 00:32:40,960
Speaker 1: I got trouble. Senior year. I was a mentor and

577
00:32:41,120 --> 00:32:43,240
Speaker 1: we had a panel of professionals come in and they

578
00:32:43,240 --> 00:32:46,280
Speaker 1: were like, make sure you become an intern. It's going

579
00:32:46,320 --> 00:32:49,640
Speaker 1: to be vital to your career later on that you

580
00:32:49,760 --> 00:32:53,000
Speaker 1: had a good internship early. You know, Puffy would ride

581
00:32:53,000 --> 00:32:56,160
Speaker 1: the train every morning like three hours to get in

582
00:32:56,560 --> 00:33:00,000
Speaker 1: and where and I, you know, as a cockey college kids,

583
00:33:00,040 --> 00:33:01,520
Speaker 1: I spoke up. I was like, yeah, okay, but make

584
00:33:01,560 --> 00:33:04,160
Speaker 1: sure you're getting training. That was to make sure that

585
00:33:04,200 --> 00:33:06,480
Speaker 1: you're getting training. I was like, if you're working for free,

586
00:33:06,560 --> 00:33:09,200
Speaker 1: you need to make sure that you're getting proper training.

587
00:33:09,280 --> 00:33:11,440
Speaker 1: Don't just be taking out the trash to say you

588
00:33:11,440 --> 00:33:13,680
Speaker 1: worked at a company that's not going to help you.

589
00:33:14,160 --> 00:33:16,440
Speaker 1: And of course this panela professionals looking like I was

590
00:33:16,480 --> 00:33:20,200
Speaker 1: absolutely nuts. And a lot of the kids too, were like, well,

591
00:33:20,440 --> 00:33:22,760
Speaker 1: how is that gonna work? But when I entered the

592
00:33:22,760 --> 00:33:24,640
Speaker 1: workforce and they were like, you have to intern for

593
00:33:24,680 --> 00:33:27,040
Speaker 1: free in New York. I have no money saved. My

594
00:33:27,080 --> 00:33:29,800
Speaker 1: parents can't afford a New York apartment. There's just so

595
00:33:29,840 --> 00:33:33,200
Speaker 1: many things that we couldn't I couldn't even conceive of

596
00:33:33,200 --> 00:33:36,480
Speaker 1: accepting because there wasn't a way to do that, you

597
00:33:36,520 --> 00:33:39,800
Speaker 1: know what I mean, there was not a way to participate.

598
00:33:39,840 --> 00:33:42,600
Speaker 1: And so now I think a lot of us and

599
00:33:42,600 --> 00:33:44,800
Speaker 1: and the next kids coming up, are like, you know,

600
00:33:44,920 --> 00:33:48,479
Speaker 1: what is the point of working for? You know, especially

601
00:33:48,480 --> 00:33:50,440
Speaker 1: if you're like a waiter, like your little four five

602
00:33:50,560 --> 00:33:53,640
Speaker 1: or whatever an hour in hopes of making ends meet

603
00:33:53,640 --> 00:33:56,360
Speaker 1: when you could be you know, have good mental health

604
00:33:56,440 --> 00:33:58,160
Speaker 1: and be at home and try to be your own

605
00:33:58,160 --> 00:34:00,720
Speaker 1: boss at least and trying to a good breath to

606
00:34:00,760 --> 00:34:03,240
Speaker 1: figure out what you want to do. Because the chaos

607
00:34:03,320 --> 00:34:07,200
Speaker 1: of being in a survival job, it's very hard to

608
00:34:07,240 --> 00:34:09,839
Speaker 1: try and disengage to then switch gears. So how can

609
00:34:09,880 --> 00:34:11,920
Speaker 1: I better myself? Do you? How are you gonna have

610
00:34:11,960 --> 00:34:13,719
Speaker 1: time to go on an interview if you have to

611
00:34:13,800 --> 00:34:16,680
Speaker 1: max your hours out to pay your bills. It's just

612
00:34:16,760 --> 00:34:19,560
Speaker 1: a it's like it becomes an impossible game. And I

613
00:34:19,600 --> 00:34:22,160
Speaker 1: think just by giving people a little bit of flexibility

614
00:34:22,160 --> 00:34:24,640
Speaker 1: and that has just given people the ability to take

615
00:34:24,680 --> 00:34:26,520
Speaker 1: a thing like wait, do I want to do this?

616
00:34:26,600 --> 00:34:28,560
Speaker 1: And in fact maybe there is I have time to

617
00:34:28,600 --> 00:34:30,200
Speaker 1: look at other things that I mean, even if you

618
00:34:30,200 --> 00:34:32,840
Speaker 1: look at like minimum wage jobs, like a lot of times,

619
00:34:33,200 --> 00:34:36,120
Speaker 1: your ability to schedule the holidays off. I remember working

620
00:34:36,160 --> 00:34:39,120
Speaker 1: a job in college that wasn't paying hardly any bills,

621
00:34:39,480 --> 00:34:41,040
Speaker 1: and they were like, you're gonna have to work like

622
00:34:41,160 --> 00:34:44,000
Speaker 1: four of the major holidays. Like you could have maybe

623
00:34:44,040 --> 00:34:47,120
Speaker 1: Christmas off, maybe Thanksgiving off, I don't know, maybe New

624
00:34:47,200 --> 00:34:50,680
Speaker 1: Years whatever the deal was, but otherwise you have to

625
00:34:50,719 --> 00:34:52,920
Speaker 1: be working in on the floor. And I saw a

626
00:34:53,000 --> 00:34:56,200
Speaker 1: text chain going around today, just like in picture form,

627
00:34:56,320 --> 00:34:59,320
Speaker 1: where a boss was like, listen, someone just got fired,

628
00:34:59,360 --> 00:35:01,120
Speaker 1: so you're gonna have to come Well, you can fire

629
00:35:01,160 --> 00:35:04,000
Speaker 1: my ask too. I'm not coming in on you really

630
00:35:04,000 --> 00:35:06,120
Speaker 1: want to go down that road, They're like trying me

631
00:35:06,600 --> 00:35:08,960
Speaker 1: right exactly, Like what is the point of of breaking

632
00:35:08,960 --> 00:35:12,279
Speaker 1: ourselves for companies that truly don't care one way or

633
00:35:12,320 --> 00:35:15,560
Speaker 1: the other will honestly replace us in a matter of hours,

634
00:35:15,800 --> 00:35:19,400
Speaker 1: you know, the structure hold up, held up. That was

635
00:35:19,440 --> 00:35:22,200
Speaker 1: an interesting point that Robin Finanki have pointed out and

636
00:35:22,280 --> 00:35:24,879
Speaker 1: want cat as it relates to this, is that like,

637
00:35:25,160 --> 00:35:27,719
Speaker 1: you know that she's sort of pointing at the Great

638
00:35:27,760 --> 00:35:30,160
Speaker 1: Recession of still sort of lingering in a lot of

639
00:35:30,200 --> 00:35:32,799
Speaker 1: workers heads, especially if you were of working age at

640
00:35:32,840 --> 00:35:35,799
Speaker 1: that time, there were no fucking jobs. You would have

641
00:35:36,200 --> 00:35:41,000
Speaker 1: done anything to get a job, myself included, and that

642
00:35:41,160 --> 00:35:45,239
Speaker 1: actually gave a huge advantage to employers to say, well, look,

643
00:35:45,239 --> 00:35:47,440
Speaker 1: it's a recession. Man, I can't funk you're gonna you're

644
00:35:47,440 --> 00:35:49,160
Speaker 1: gonna ask me for that much money. You're gonna ask

645
00:35:49,160 --> 00:35:51,839
Speaker 1: me for fair ways, it's a recession, and that momentum

646
00:35:51,920 --> 00:35:55,600
Speaker 1: allowed employers to keep wages low. And also a lot

647
00:35:55,640 --> 00:35:57,920
Speaker 1: of people were still in that mindset, like the trauma

648
00:35:57,920 --> 00:35:59,799
Speaker 1: of the recession being like I don't know, man, because

649
00:35:59,800 --> 00:36:03,680
Speaker 1: my job fucking vanished in a second. So that sort

650
00:36:03,719 --> 00:36:08,399
Speaker 1: of lingering stress also contributes to people accepting these situations

651
00:36:08,440 --> 00:36:11,719
Speaker 1: as well, because we're still kind of like, fuck, that's right,

652
00:36:11,760 --> 00:36:13,160
Speaker 1: that's still kind of in the back of my head.

653
00:36:13,200 --> 00:36:15,440
Speaker 1: Is like, how I was completely set back by the recession,

654
00:36:15,800 --> 00:36:20,200
Speaker 1: but you know it's it, there's still despite the economy recovering,

655
00:36:20,480 --> 00:36:22,520
Speaker 1: a lot of employers like, well, come on now, don't

656
00:36:22,520 --> 00:36:25,320
Speaker 1: make me turn the wages up just because the economy

657
00:36:25,360 --> 00:36:28,880
Speaker 1: is better than when I was first offering these pittances.

658
00:36:28,920 --> 00:36:32,120
Speaker 1: And they asked, you know, they asked the entire population

659
00:36:32,160 --> 00:36:36,360
Speaker 1: to ignore what was revealed like it was never the

660
00:36:36,400 --> 00:36:43,000
Speaker 1: Great Recession was basically these massive capitalist institutions being revealed

661
00:36:43,040 --> 00:36:48,120
Speaker 1: to be fucking shell games, like just unequivocally, and then

662
00:36:48,560 --> 00:36:51,839
Speaker 1: the government gave them the money to bail them out

663
00:36:52,000 --> 00:36:55,680
Speaker 1: instead of the people who they had victimized, like and

664
00:36:56,480 --> 00:36:59,800
Speaker 1: that that's just like that, that's not something that people

665
00:36:59,800 --> 00:37:02,360
Speaker 1: can ignore like that that the fact that that is

666
00:37:02,400 --> 00:37:05,040
Speaker 1: not being brought up as like huh, I wonder if

667
00:37:05,080 --> 00:37:08,560
Speaker 1: that has something to do with why people have completely

668
00:37:08,600 --> 00:37:13,640
Speaker 1: lost faith in this system and institution, where like we're

669
00:37:13,680 --> 00:37:16,400
Speaker 1: supposed to let the fucking market decide when the market

670
00:37:16,680 --> 00:37:20,840
Speaker 1: has been revealed to be a rigged game that you know,

671
00:37:21,160 --> 00:37:26,960
Speaker 1: is only benefiting these massive institutions and victimizing like most

672
00:37:27,000 --> 00:37:30,040
Speaker 1: of the population, and they just, you know, they just

673
00:37:30,239 --> 00:37:34,880
Speaker 1: hope that we ignore that. And it's like the people

674
00:37:34,920 --> 00:37:38,719
Speaker 1: aren't stupid, like they can't ignore that. It's impossible for

675
00:37:38,760 --> 00:37:41,680
Speaker 1: them to. There's just a difference in realities, right the

676
00:37:41,920 --> 00:37:45,880
Speaker 1: for people who are, you know, the massive business owning class,

677
00:37:45,880 --> 00:37:48,880
Speaker 1: they're so insulated by their wealth, they're not experiencing the

678
00:37:48,960 --> 00:37:53,560
Speaker 1: same external existential factors that motivate a person that someone

679
00:37:53,600 --> 00:37:56,719
Speaker 1: who is in their employ would, you know, because if

680
00:37:56,719 --> 00:37:59,920
Speaker 1: you're a millionaire, the concept of paying your bills has

681
00:38:00,080 --> 00:38:02,960
Speaker 1: not been a reality for you for some time. The

682
00:38:03,040 --> 00:38:05,440
Speaker 1: idea that like everything's on auto pay, you have an

683
00:38:05,440 --> 00:38:08,600
Speaker 1: accountant or whatever, like there's no that dimension of toil

684
00:38:08,760 --> 00:38:12,680
Speaker 1: is completely abstracted to that person and then on another.

685
00:38:13,000 --> 00:38:15,360
Speaker 1: But they're still applying their sort of worldview to a

686
00:38:15,360 --> 00:38:19,200
Speaker 1: group of people who is feeling every single external factor

687
00:38:19,560 --> 00:38:22,040
Speaker 1: and not willing to be like, oh right, there's a

688
00:38:22,080 --> 00:38:24,879
Speaker 1: whole other set of factors that affects them. That's why

689
00:38:24,960 --> 00:38:29,520
Speaker 1: my stupid, evil genius calculus is malfunctioning at the moment,

690
00:38:29,760 --> 00:38:32,880
Speaker 1: because I'm operating from a reality that isn't being reflected

691
00:38:33,120 --> 00:38:35,520
Speaker 1: in the data set I'm trying to manipulate. So I

692
00:38:35,560 --> 00:38:38,600
Speaker 1: think the American people have been asked to sacrifice like

693
00:38:38,640 --> 00:38:41,560
Speaker 1: a lot, especially I would say maybe of the last

694
00:38:42,400 --> 00:38:45,560
Speaker 1: like since the late nineties, it's been like, oh, well,

695
00:38:45,600 --> 00:38:50,360
Speaker 1: you know we I mean, if I specifically worse to

696
00:38:50,360 --> 00:38:53,320
Speaker 1: look at like nine eleven, like, listen, you have sacrifice

697
00:38:53,400 --> 00:38:58,280
Speaker 1: some some securities, some liberties, some this idea of personal

698
00:38:58,320 --> 00:39:02,200
Speaker 1: freedom in an attempt to like make your country safe.

699
00:39:02,480 --> 00:39:04,399
Speaker 1: And then later it was like, well, we're all going

700
00:39:04,400 --> 00:39:06,560
Speaker 1: through the recession, like we'll all tighten our buet chats

701
00:39:06,560 --> 00:39:08,040
Speaker 1: and it will help our neighbor and it'll be fine.

702
00:39:08,040 --> 00:39:10,480
Speaker 1: In America is one of the most giving as far

703
00:39:10,560 --> 00:39:12,400
Speaker 1: as like when it comes to charities, like we're one

704
00:39:12,400 --> 00:39:15,399
Speaker 1: of the most charitable countries on the planet, Like we're

705
00:39:15,400 --> 00:39:18,960
Speaker 1: constantly giving money. And I think as we've looked at

706
00:39:19,000 --> 00:39:21,759
Speaker 1: like what we've had sacrifice versus what we're getting later,

707
00:39:22,320 --> 00:39:27,040
Speaker 1: it's it's not been equitable for most people. For most people,

708
00:39:27,239 --> 00:39:30,319
Speaker 1: there's been nothing coming out of that sacrifice except the

709
00:39:30,360 --> 00:39:32,759
Speaker 1: same wages for the past like fifteen years. I mean,

710
00:39:33,000 --> 00:39:35,799
Speaker 1: remember when we're like a minimum wage has got to

711
00:39:35,840 --> 00:39:37,759
Speaker 1: be like at least when we were like it was

712
00:39:37,760 --> 00:39:40,360
Speaker 1: supposed to be this much five ten years ago, but

713
00:39:40,400 --> 00:39:43,600
Speaker 1: we'll connect it now. It's just it's been an exhausting

714
00:39:43,680 --> 00:39:47,440
Speaker 1: slug just for any kind of decent pay, you know,

715
00:39:47,600 --> 00:39:49,680
Speaker 1: we keep and it's wild to me to keep looking

716
00:39:49,680 --> 00:39:51,239
Speaker 1: back to the sixties and being like, look at what

717
00:39:51,320 --> 00:39:53,759
Speaker 1: money could buy you. Then like, look at what like

718
00:39:53,840 --> 00:39:58,160
Speaker 1: one contributing household member could give to a family, and

719
00:39:58,200 --> 00:40:00,920
Speaker 1: we haven't had any of that in a very long time.

720
00:40:01,280 --> 00:40:04,600
Speaker 1: That is equal to that most people can't afford, you know,

721
00:40:05,000 --> 00:40:08,040
Speaker 1: a two bedroom apartment on their salary. You know, most

722
00:40:08,040 --> 00:40:10,360
Speaker 1: of us are either one of the partner and swinding

723
00:40:10,360 --> 00:40:13,480
Speaker 1: bills that way, or or you know, roommates, whatever the

724
00:40:13,520 --> 00:40:16,080
Speaker 1: situation may be. So I think people are just tired

725
00:40:16,120 --> 00:40:19,480
Speaker 1: of having to sacrifice and get nothing. And there's themes,

726
00:40:19,480 --> 00:40:21,719
Speaker 1: at least from my you know, very liberal I live

727
00:40:21,760 --> 00:40:23,680
Speaker 1: in Los Angeles, California point of view, to be a

728
00:40:23,680 --> 00:40:25,960
Speaker 1: lot of folks turning to each other and me like,

729
00:40:26,000 --> 00:40:30,880
Speaker 1: how can we help and just make our little situation? Yeah,

730
00:40:31,000 --> 00:40:34,840
Speaker 1: the yeah, your point about families consolidating, like people looking

731
00:40:34,840 --> 00:40:38,520
Speaker 1: more to community, I think is a really interesting development

732
00:40:38,760 --> 00:40:43,560
Speaker 1: because that, you know, I think broadly, like the more

733
00:40:43,600 --> 00:40:46,719
Speaker 1: that we see this story developed, the more we see

734
00:40:47,160 --> 00:40:53,520
Speaker 1: America treat their population like enemy combatants. Like you know,

735
00:40:53,680 --> 00:40:57,799
Speaker 1: there's the we've talked about fucos boomerang, which is like

736
00:40:58,080 --> 00:41:02,360
Speaker 1: when empire goes like US as all these new tools

737
00:41:02,400 --> 00:41:06,120
Speaker 1: of war in countries that they're occupying, but then they

738
00:41:06,239 --> 00:41:09,799
Speaker 1: come back home and they're used on the population, the

739
00:41:09,840 --> 00:41:13,120
Speaker 1: citizens at home. So we're seeing that that the police

740
00:41:13,200 --> 00:41:18,120
Speaker 1: generally just treat you know, police communities that they aren't

741
00:41:18,120 --> 00:41:21,040
Speaker 1: a part of and treat them as enemy combatants. I

742
00:41:21,040 --> 00:41:24,279
Speaker 1: mean America, that this strategy like when when you look

743
00:41:24,320 --> 00:41:28,680
Speaker 1: at what this strategy is, it's trying to starve them out,

744
00:41:28,960 --> 00:41:32,359
Speaker 1: like trying to starve starve out people who are like

745
00:41:32,719 --> 00:41:37,680
Speaker 1: in quarantine because of a global pandemic, and that you know,

746
00:41:37,840 --> 00:41:40,880
Speaker 1: at some level that is making its way into people's minds,

747
00:41:40,960 --> 00:41:45,160
Speaker 1: and so you know, I think the system is headed

748
00:41:45,280 --> 00:41:49,680
Speaker 1: for a fall and people are starting to ask, like

749
00:41:49,800 --> 00:41:54,480
Speaker 1: what what is next? Like the there's this book about

750
00:41:54,520 --> 00:41:56,600
Speaker 1: the history of debt that I'm reading by David Graber

751
00:41:56,680 --> 00:42:00,520
Speaker 1: where he talks about how all of economics is built

752
00:42:00,560 --> 00:42:05,640
Speaker 1: on this assumption that like economies and money replaced barter

753
00:42:06,239 --> 00:42:08,759
Speaker 1: systems where like one person had a cow and the

754
00:42:08,800 --> 00:42:12,799
Speaker 1: other person had like knives, and like it's just this

755
00:42:13,120 --> 00:42:17,520
Speaker 1: wildly inefficient thing and the mistake that people make that

756
00:42:17,560 --> 00:42:20,560
Speaker 1: the economists are making is they're assuming that everything is

757
00:42:20,600 --> 00:42:25,200
Speaker 1: just these individual actors and not like what actually happened

758
00:42:25,320 --> 00:42:29,120
Speaker 1: was there were these vast communities that worked together to

759
00:42:29,160 --> 00:42:34,360
Speaker 1: collect resources and you know, help one another. And the

760
00:42:34,440 --> 00:42:37,040
Speaker 1: absence of community seems to have been like something that

761
00:42:37,160 --> 00:42:41,600
Speaker 1: is just making like the country socially like ill in

762
00:42:41,640 --> 00:42:44,080
Speaker 1: a lot of ways, and like leading to some of

763
00:42:44,120 --> 00:42:46,319
Speaker 1: the movements that we're seeing on social media that are

764
00:42:46,960 --> 00:42:51,799
Speaker 1: you know, very misguided, and that it's something that is

765
00:42:51,840 --> 00:42:55,080
Speaker 1: completely vanished, right. I think it's something that we're really

766
00:42:55,080 --> 00:42:57,319
Speaker 1: out there. It's just harder to see because it's not

767
00:42:57,640 --> 00:43:00,200
Speaker 1: on the internet. Like there's do you guys know about

768
00:43:00,200 --> 00:43:03,800
Speaker 1: the fridge project? It's like one of the most beautiful

769
00:43:03,840 --> 00:43:07,400
Speaker 1: things I've ever seen. Like there's just no like the

770
00:43:07,440 --> 00:43:09,840
Speaker 1: idea of like, here's a bit a small business. Usually

771
00:43:09,840 --> 00:43:12,520
Speaker 1: who's like, listen, we'll pay for the electricity for this fridge.

772
00:43:12,560 --> 00:43:15,319
Speaker 1: Prop it up outside. People who have little extra money,

773
00:43:15,400 --> 00:43:18,000
Speaker 1: buy a couple extra groceries, you know, try to make

774
00:43:18,000 --> 00:43:21,200
Speaker 1: it some fresh produce something delicious, pop it in the fridge,

775
00:43:21,239 --> 00:43:23,400
Speaker 1: and whoever needs it, no questions asked. You don't have

776
00:43:23,440 --> 00:43:24,959
Speaker 1: to check in, you don't have to sign it out.

777
00:43:25,000 --> 00:43:27,319
Speaker 1: There is no you have to explain yourself. Just come

778
00:43:27,320 --> 00:43:30,120
Speaker 1: and take what you need and then keep it pushing

779
00:43:30,120 --> 00:43:31,880
Speaker 1: and the community will do its best to try to

780
00:43:31,920 --> 00:43:33,960
Speaker 1: provide for those who don't have. I think that's like,

781
00:43:34,440 --> 00:43:36,160
Speaker 1: and it's happening all over the United States. I just

782
00:43:36,200 --> 00:43:38,400
Speaker 1: think it's like there's a lot of little pockets of

783
00:43:38,440 --> 00:43:41,600
Speaker 1: these really beautiful community efforts and I think will probably

784
00:43:41,640 --> 00:43:44,120
Speaker 1: continue to see more of that. You know, for as

785
00:43:44,120 --> 00:43:47,960
Speaker 1: long as businesses try to hold out um, mutual is

786
00:43:48,000 --> 00:43:50,040
Speaker 1: just going to be a necessity at the bird point

787
00:43:50,120 --> 00:43:53,520
Speaker 1: rather than like something people who have to foresight to

788
00:43:53,560 --> 00:43:55,880
Speaker 1: do to support people in their community. And it's like

789
00:43:55,920 --> 00:43:57,839
Speaker 1: it's going to have to be how some people are

790
00:43:57,840 --> 00:44:00,919
Speaker 1: going to survive. And yeah, I mean more to say

791
00:44:00,920 --> 00:44:05,520
Speaker 1: that altruism, there's clearly a there's a subsection of society

792
00:44:05,560 --> 00:44:10,960
Speaker 1: where altruism does not exist. It's not something that interests them,

793
00:44:11,000 --> 00:44:14,759
Speaker 1: and it seems very well defined, like you can just say, oh,

794
00:44:14,800 --> 00:44:18,120
Speaker 1: this is this is like the anti altruism people like

795
00:44:18,200 --> 00:44:23,719
Speaker 1: there there's nothing that they owe any fucking body. Yeah wait,

796
00:44:24,000 --> 00:44:29,759
Speaker 1: I'm just calling a shot here that the right or

797
00:44:30,000 --> 00:44:33,440
Speaker 1: you know, even the center will find a way to

798
00:44:34,080 --> 00:44:38,440
Speaker 1: like create a story where communal fridges are being like

799
00:44:38,640 --> 00:44:43,160
Speaker 1: targeted by thieves who are or people who are like

800
00:44:43,200 --> 00:44:47,600
Speaker 1: basically the welfare queen equivalent of the communal fridge, where

801
00:44:47,600 --> 00:44:49,719
Speaker 1: they'll be like they're, yeah, they're they're open their own

802
00:44:49,920 --> 00:44:54,120
Speaker 1: grocery stores. Because that's how much that undercuts like what

803
00:44:54,440 --> 00:44:57,840
Speaker 1: is at stage. You know, it's funny people try that

804
00:44:58,000 --> 00:45:00,839
Speaker 1: angle already because you'll see it in store ease, like

805
00:45:00,840 --> 00:45:04,000
Speaker 1: where people ask, not like trying to create that narrative

806
00:45:04,080 --> 00:45:06,760
Speaker 1: like oh, are you worried about people like taking stuff

807
00:45:06,800 --> 00:45:10,000
Speaker 1: they don't need? And most people who are like run

808
00:45:10,040 --> 00:45:13,239
Speaker 1: these fridges are like behind these organizations are like no, not,

809
00:45:13,440 --> 00:45:15,399
Speaker 1: I'm not worried about that at all. If someone has

810
00:45:15,480 --> 00:45:18,759
Speaker 1: to take food, that's I'm grateful that there's a place

811
00:45:18,800 --> 00:45:21,000
Speaker 1: for them to do that, and I'm it only reminds

812
00:45:21,000 --> 00:45:23,759
Speaker 1: it should only fill other people with gratitude that they

813
00:45:23,840 --> 00:45:26,560
Speaker 1: don't have to go to a community fridge to survive.

814
00:45:26,840 --> 00:45:31,000
Speaker 1: So it's moot to even consider what happens after that,

815
00:45:31,080 --> 00:45:33,000
Speaker 1: because it's not like you got like, oh man, we

816
00:45:33,080 --> 00:45:37,160
Speaker 1: got these freshly cultivated truffles from Italy, like you know

817
00:45:37,160 --> 00:45:40,000
Speaker 1: what I mean. It's like it's just it's it's it's

818
00:45:40,080 --> 00:45:43,000
Speaker 1: food to sustain people. There's not like, you know, Pokemon

819
00:45:43,120 --> 00:45:45,520
Speaker 1: cards that you can flip for thousands of dollars in there.

820
00:45:46,200 --> 00:45:48,600
Speaker 1: I actually have to run to my community fridge. I

821
00:45:48,680 --> 00:45:51,120
Speaker 1: just I just realized that I shouldn't have put those

822
00:45:51,120 --> 00:45:55,400
Speaker 1: Pokemon cards in there. That didn't make sense. The Yeah,

823
00:45:55,800 --> 00:46:00,600
Speaker 1: it's just so counter to the core logic. Like like

824
00:46:00,640 --> 00:46:03,360
Speaker 1: we we talked about on that episode last week that

825
00:46:04,760 --> 00:46:07,200
Speaker 1: like the mainstream media was covering the hell out of

826
00:46:07,200 --> 00:46:14,360
Speaker 1: this story about Walgreen's being victimized by like systemic shoplifting,

827
00:46:15,840 --> 00:46:19,480
Speaker 1: and so Walgreen like the story they'd rather tell than

828
00:46:19,680 --> 00:46:23,080
Speaker 1: the story of community communal fridges is the story of

829
00:46:23,560 --> 00:46:28,200
Speaker 1: how a corporation is being victimized in quotes by a

830
00:46:28,280 --> 00:46:32,680
Speaker 1: fucking person who is in such desperate need that they're

831
00:46:32,719 --> 00:46:35,479
Speaker 1: you know, stealing from them and like that that's what

832
00:46:35,600 --> 00:46:40,440
Speaker 1: America like goes for Target a few months ago, and

833
00:46:40,480 --> 00:46:43,600
Speaker 1: then it came out the Target was responsible for all

834
00:46:43,640 --> 00:46:47,040
Speaker 1: of this wage theft, which is something that stories monitor

835
00:46:47,200 --> 00:46:50,760
Speaker 1: so heavily. You got to go to the bathroom before

836
00:46:51,120 --> 00:46:53,160
Speaker 1: you clock in or to wage them. You're like, I

837
00:46:53,160 --> 00:46:58,760
Speaker 1: don't think that's correct, actually right exactly, you got timely,

838
00:46:58,840 --> 00:47:00,919
Speaker 1: you got time thinking. I think a ten seconds before

839
00:47:00,920 --> 00:47:03,279
Speaker 1: I move on to my next pask like all of those.

840
00:47:03,320 --> 00:47:04,960
Speaker 1: I mean, I worked on only V, I worked at

841
00:47:04,960 --> 00:47:09,680
Speaker 1: an AMC, I worked so many like bum like you

842
00:47:10,200 --> 00:47:13,400
Speaker 1: make nothing, but you know they need everything out of you,

843
00:47:13,440 --> 00:47:14,880
Speaker 1: and you need to constantly be on call and be

844
00:47:14,960 --> 00:47:17,440
Speaker 1: ready to show up whenever. And it's all about it.

845
00:47:17,520 --> 00:47:20,920
Speaker 1: It's just it's exhausting, and I'm glad people are saying

846
00:47:20,920 --> 00:47:23,000
Speaker 1: no to it. I'm glad we're seeing you know, a

847
00:47:23,080 --> 00:47:26,200
Speaker 1: number of people try to unionize, like across a whole

848
00:47:26,200 --> 00:47:29,600
Speaker 1: bunch of different workforces, Like it's it's been beyond time

849
00:47:29,680 --> 00:47:33,040
Speaker 1: that you know, workers try to get the protections and

850
00:47:33,080 --> 00:47:36,279
Speaker 1: the wayes that you know. Yeah, One thing that I

851
00:47:36,320 --> 00:47:37,719
Speaker 1: just want to add is like I feel like when

852
00:47:37,719 --> 00:47:40,600
Speaker 1: people talk about crime, especially people who are so critical

853
00:47:40,680 --> 00:47:43,680
Speaker 1: about like this stuff, is I can't believe they're shoplifting.

854
00:47:43,960 --> 00:47:46,479
Speaker 1: A thing they never engage in is to ask why

855
00:47:46,520 --> 00:47:50,319
Speaker 1: they don't shoplift, you know, and go down that road

856
00:47:50,960 --> 00:47:53,040
Speaker 1: and ask, oh, I can't believe it will be like

857
00:47:53,040 --> 00:47:55,440
Speaker 1: we why don't you don't shoplift? No, oh my god.

858
00:47:56,080 --> 00:47:58,799
Speaker 1: I would never do that. Why, Probably because they're saying,

859
00:47:58,800 --> 00:48:01,680
Speaker 1: because I have everything I need right right, and then

860
00:48:01,719 --> 00:48:06,600
Speaker 1: you have to go so, huh, what's the real problem here?

861
00:48:06,640 --> 00:48:09,399
Speaker 1: You think? Is it that people are just shoplift? Because

862
00:48:09,440 --> 00:48:12,279
Speaker 1: if if you're saying you're not shoplifting because you have

863
00:48:12,400 --> 00:48:17,080
Speaker 1: everything you need, presumably you're saying people who have nothing shoplift, right,

864
00:48:17,200 --> 00:48:20,160
Speaker 1: you can, you're acknowledging that. So then let's go down

865
00:48:20,200 --> 00:48:23,960
Speaker 1: that road rather than Maya Walgreen, though they're having to

866
00:48:24,120 --> 00:48:27,239
Speaker 1: offset some of their financial viability by closing stores, but

867
00:48:27,280 --> 00:48:32,960
Speaker 1: we'll spin it as this massive shoplifting conspiracy. It's just yeah, alright,

868
00:48:33,040 --> 00:48:35,359
Speaker 1: let's take a quick break and we'll come back and

869
00:48:35,640 --> 00:48:50,279
Speaker 1: talk about strawberry pop tarts. And we're back, and you

870
00:48:50,320 --> 00:48:53,560
Speaker 1: know that this is a story that I feel like

871
00:48:53,640 --> 00:48:58,560
Speaker 1: the mainstream media kind of blood stream is very you know,

872
00:48:58,680 --> 00:49:02,760
Speaker 1: it's craving Reese for some reason. And that is stories

873
00:49:02,800 --> 00:49:07,239
Speaker 1: about lawsuits where somebody sues a food manufacturer for not

874
00:49:07,360 --> 00:49:10,960
Speaker 1: having like the thing that they claim inside the real ship,

875
00:49:11,320 --> 00:49:15,680
Speaker 1: the real ship. You know, Subway Tuna was one example,

876
00:49:16,160 --> 00:49:21,319
Speaker 1: and now we have strawberry pop tarts. It's just you know,

877
00:49:21,360 --> 00:49:25,080
Speaker 1: and they fall into some feel like histrionic lawsuits and

878
00:49:25,120 --> 00:49:29,120
Speaker 1: others maybe, and sometimes certain lawsuits do read like, oh,

879
00:49:29,200 --> 00:49:32,960
Speaker 1: this person is actually mad. This is not real cookies

880
00:49:33,000 --> 00:49:36,640
Speaker 1: and cookie crisp um. But in this instance, this is

881
00:49:36,680 --> 00:49:40,239
Speaker 1: all around the frosted strawberry pop tart I think is

882
00:49:40,280 --> 00:49:43,400
Speaker 1: a staple thing you grew up eating, is a pop tart.

883
00:49:43,440 --> 00:49:46,080
Speaker 1: I barely ever toasted them. I just you would just

884
00:49:46,120 --> 00:49:51,760
Speaker 1: take that foil pas. Oh yeah, I'm nasty because sometimes

885
00:49:51,800 --> 00:49:54,440
Speaker 1: you will get too hot or the bottom will get burnt,

886
00:49:54,480 --> 00:49:56,520
Speaker 1: and then I'm like fucked. I'm not you know, burnt

887
00:49:56,800 --> 00:49:59,280
Speaker 1: burnt pop tart? I remember, I think that's what happened

888
00:49:59,320 --> 00:50:01,520
Speaker 1: that a four else you get that perfect toasted you

889
00:50:01,680 --> 00:50:05,399
Speaker 1: what hapen? No, it was like typical, like hardcore mom

890
00:50:05,400 --> 00:50:07,000
Speaker 1: ship where my mom made a pop tart and I

891
00:50:07,000 --> 00:50:08,720
Speaker 1: was like, this is kind of burnt on the bottom.

892
00:50:08,760 --> 00:50:11,120
Speaker 1: She's like, then you do it yourself, and I'm like,

893
00:50:11,280 --> 00:50:14,440
Speaker 1: I will cut to me, never toasting them, because I

894
00:50:14,480 --> 00:50:16,520
Speaker 1: don't respect the effort my mother put in. It's even

895
00:50:16,520 --> 00:50:19,360
Speaker 1: trying to toast a pop tart. But in this instance,

896
00:50:19,719 --> 00:50:23,279
Speaker 1: in the Southern District of Illinois, Plaintiff Anita Harris quote

897
00:50:23,280 --> 00:50:26,959
Speaker 1: alleges that Kellogg's claims about its frosted strawberry pop tarts

898
00:50:26,960 --> 00:50:30,040
Speaker 1: are misleading since quote they give consumers the impression the

899
00:50:30,080 --> 00:50:32,759
Speaker 1: fruit filling contains a greater relative and absolute amount of

900
00:50:32,760 --> 00:50:35,880
Speaker 1: strawberries than it does the feeling. The filing goes on

901
00:50:35,920 --> 00:50:39,399
Speaker 1: to state that despite strawberries being the products quote characterizing

902
00:50:39,560 --> 00:50:43,080
Speaker 1: ingredient on the actual ingredients list, dried strawberries don't get

903
00:50:43,080 --> 00:50:48,840
Speaker 1: a mention until the contains two or less section, and

904
00:50:48,880 --> 00:50:51,720
Speaker 1: then they go on quote based on a quantitative estimate

905
00:50:51,760 --> 00:50:54,040
Speaker 1: and analysis of the feeling, it appears to or may

906
00:50:54,120 --> 00:50:58,759
Speaker 1: even contain more non strawberry fruit than strawberry ingredients to

907
00:50:58,880 --> 00:51:01,480
Speaker 1: give consumers the fall s impression that the product contains

908
00:51:01,480 --> 00:51:04,000
Speaker 1: a greater absolute and relative amount of strawberries, and it does.

909
00:51:04,040 --> 00:51:07,400
Speaker 1: It contains red forty, a synthetic food coloring made from petroleum.

910
00:51:07,560 --> 00:51:10,799
Speaker 1: Red forty makes the strawberry pear apple combination look bright

911
00:51:10,880 --> 00:51:13,839
Speaker 1: red like you have his own strawberries or has more

912
00:51:13,880 --> 00:51:18,400
Speaker 1: strawberries than it does. I mean, this is like the

913
00:51:18,480 --> 00:51:21,960
Speaker 1: water Gate of pop tarts, I guess, I mean more

914
00:51:22,000 --> 00:51:26,279
Speaker 1: than any I just think of like America. Hello, We've

915
00:51:26,280 --> 00:51:31,240
Speaker 1: been eating processed food since forever. And I hope people

916
00:51:31,320 --> 00:51:35,520
Speaker 1: out there don't believe that it's all just like organic

917
00:51:35,920 --> 00:51:40,040
Speaker 1: mushed up strawberries in your very cheap pop carts. That's

918
00:51:40,040 --> 00:51:44,720
Speaker 1: not what's happening. I have so many thoughts, like, for one, obviously,

919
00:51:44,719 --> 00:51:47,279
Speaker 1: American food i Q is very low, and I think

920
00:51:47,360 --> 00:51:53,000
Speaker 1: it's lower. The lower your wages are, right, the the

921
00:51:53,080 --> 00:51:55,240
Speaker 1: less money you have to spend at the grocery store,

922
00:51:55,600 --> 00:51:58,960
Speaker 1: the less you have experimenting with new food. Yeah, or

923
00:51:59,000 --> 00:52:01,120
Speaker 1: you're in a food desert because of that, and your

924
00:52:01,280 --> 00:52:04,759
Speaker 1: options are truly limited to these things in a box, yeah, right,

925
00:52:04,880 --> 00:52:09,640
Speaker 1: these prepackaged items. And so the idea that it's like

926
00:52:09,719 --> 00:52:12,400
Speaker 1: definitely silly to read because it's like, have you tasted

927
00:52:12,440 --> 00:52:16,680
Speaker 1: a pop tart? There's nothing authentic about what's happening in

928
00:52:16,719 --> 00:52:19,280
Speaker 1: your mouth as you eat the pop tart. Cinnamon sugars

929
00:52:19,280 --> 00:52:22,720
Speaker 1: were my bag, and I knew what was happening in there. Okay,

930
00:52:22,880 --> 00:52:25,319
Speaker 1: it's not even if they didn't grind up like fresh

931
00:52:25,320 --> 00:52:28,719
Speaker 1: cinnamon sticks and it's no um. I also understand this

932
00:52:28,840 --> 00:52:32,440
Speaker 1: idea of feeling tricked, like when I first started learning

933
00:52:32,440 --> 00:52:35,400
Speaker 1: about food, which like mid college, of like what's in

934
00:52:35,440 --> 00:52:37,640
Speaker 1: this and how do I prepare it, and and what

935
00:52:37,680 --> 00:52:40,120
Speaker 1: goes into all of these things? Like it was like

936
00:52:40,239 --> 00:52:43,480
Speaker 1: a mind freak of just like how how have I

937
00:52:43,560 --> 00:52:46,680
Speaker 1: been eating? And and what does the feature look like

938
00:52:46,719 --> 00:52:48,360
Speaker 1: for me? Because now I have this knowledge, but I

939
00:52:48,400 --> 00:52:51,600
Speaker 1: have no money to correct what I'm considered to continue

940
00:52:51,600 --> 00:52:54,400
Speaker 1: to eat these terrible things just because that's what is

941
00:52:54,440 --> 00:52:57,960
Speaker 1: within my financial bracket. And so I get where miss

942
00:52:57,960 --> 00:53:01,120
Speaker 1: Anita is coming from. She's frustrated, she wants some strawberries.

943
00:53:01,200 --> 00:53:03,600
Speaker 1: She's trying to give her kids a healthy breakfast. You know,

944
00:53:03,800 --> 00:53:06,360
Speaker 1: serial company slide. They told her it was part of

945
00:53:06,360 --> 00:53:09,040
Speaker 1: a complete breakfast. It's just sugar. Yeah, where did she go?

946
00:53:09,520 --> 00:53:12,760
Speaker 1: Look into the founder of Kellogg's too much? No, don't Yeah,

947
00:53:13,080 --> 00:53:14,920
Speaker 1: he would not like where his company has ended. He

948
00:53:15,160 --> 00:53:20,040
Speaker 1: very listen to the behind the bastards, Mr Kellogg. Yeah,

949
00:53:20,080 --> 00:53:23,560
Speaker 1: but yeah, I mean, and that's why I'm like, I understand,

950
00:53:23,600 --> 00:53:25,799
Speaker 1: like that's why some things really feel like this is

951
00:53:25,920 --> 00:53:28,200
Speaker 1: like this can be this is how I feel, you know,

952
00:53:28,280 --> 00:53:31,320
Speaker 1: like this is this, this feels like duplicit this and deceptive.

953
00:53:31,440 --> 00:53:33,680
Speaker 1: I totally get that. But then you I know, there's

954
00:53:33,760 --> 00:53:36,160
Speaker 1: also a category of people who are just looking to

955
00:53:36,200 --> 00:53:38,640
Speaker 1: file these lawsuits kind of like those like Cereal like

956
00:53:38,719 --> 00:53:40,880
Speaker 1: A d A Filers that were around a couple of

957
00:53:40,920 --> 00:53:42,279
Speaker 1: years ago, who would just like go and be like

958
00:53:42,360 --> 00:53:44,640
Speaker 1: I'm ssuing you for this, like this ramps not here,

959
00:53:44,880 --> 00:53:46,279
Speaker 1: or you can settle out of court, you know what

960
00:53:46,280 --> 00:53:48,319
Speaker 1: I mean, Like this kind of trying to just get

961
00:53:48,360 --> 00:53:51,080
Speaker 1: a quick settlement. But in this sense more than like

962
00:53:51,200 --> 00:53:54,440
Speaker 1: Anita and her case or pop Tarts, it's just like

963
00:53:54,480 --> 00:53:57,399
Speaker 1: sort of this interesting thing that a lot of people

964
00:53:57,520 --> 00:54:00,400
Speaker 1: still like holding their minds that like, it's like it

965
00:54:00,480 --> 00:54:04,240
Speaker 1: could all be fake to cut corners to maximize profits

966
00:54:04,280 --> 00:54:07,000
Speaker 1: for the company that's making the food while putting all

967
00:54:07,040 --> 00:54:09,640
Speaker 1: these really nice graphics on the box. And that's why

968
00:54:09,680 --> 00:54:11,920
Speaker 1: I'm kind of like I want to do your own

969
00:54:12,040 --> 00:54:15,680
Speaker 1: backs research. Crowd, please bring this energy to the food

970
00:54:15,680 --> 00:54:19,720
Speaker 1: you're eating, because you might very quickly be like, oh

971
00:54:19,760 --> 00:54:23,080
Speaker 1: my god, or they're gonna be like I love petroleum

972
00:54:23,160 --> 00:54:30,120
Speaker 1: based food dies. What one thing? The food lawsuits are

973
00:54:30,360 --> 00:54:34,360
Speaker 1: generally something that similar to the shoplifting story that we

974
00:54:34,440 --> 00:54:38,520
Speaker 1: talked about before the break, the people like the American

975
00:54:39,520 --> 00:54:44,719
Speaker 1: like shared consciousness tends to side with McDonald's over the

976
00:54:44,760 --> 00:54:49,520
Speaker 1: person who's coffee like burnt them, and it turns out

977
00:54:49,560 --> 00:54:52,840
Speaker 1: like the when you read the actual details of that story,

978
00:54:52,920 --> 00:54:58,320
Speaker 1: the woman who sued McDonald's for spilling hot coffee on herself,

979
00:54:58,360 --> 00:55:00,560
Speaker 1: Like that's the way the story is hold to us,

980
00:55:00,560 --> 00:55:04,160
Speaker 1: and the truth is that it was dangerously hot something

981
00:55:04,200 --> 00:55:08,680
Speaker 1: that they had, like she she had lifelong damage. Yeah,

982
00:55:08,719 --> 00:55:12,239
Speaker 1: something they had, you know, articulated paperwork this. Yeah, this

983
00:55:12,320 --> 00:55:16,880
Speaker 1: lawsuit gets at something like ye, Joel, you know you

984
00:55:17,320 --> 00:55:19,920
Speaker 1: were red forty pilled when when you read about like

985
00:55:19,960 --> 00:55:24,600
Speaker 1: what actually goes into into the food and it's something

986
00:55:24,640 --> 00:55:28,640
Speaker 1: that we like a lot of times don't have the

987
00:55:28,680 --> 00:55:33,000
Speaker 1: money to do anything about or the the like I

988
00:55:33,040 --> 00:55:39,480
Speaker 1: guess in my case, the characterizing ingredient of frosted strawberry

989
00:55:39,719 --> 00:55:44,400
Speaker 1: pop tarts are the different colored little sugar specs in

990
00:55:44,440 --> 00:55:48,960
Speaker 1: the icing. Oh yeah, Like I'm like that's really what

991
00:55:49,000 --> 00:55:52,759
Speaker 1: I'm what I'm going for here is this should taste

992
00:55:52,440 --> 00:55:56,680
Speaker 1: a strawberry Sunday cut off. Sometimes Oh yeah, I'd be

993
00:55:56,760 --> 00:55:59,760
Speaker 1: like I just want all frosting bites, all frosting bites,

994
00:56:00,120 --> 00:56:02,319
Speaker 1: like trim off the sides. Moms like, what the hell

995
00:56:02,360 --> 00:56:04,919
Speaker 1: are you doing? I'm like, I want a good part.

996
00:56:06,239 --> 00:56:10,560
Speaker 1: They're not strawberries trying to tell me it's candy. And also, Joel,

997
00:56:10,680 --> 00:56:14,000
Speaker 1: I don't often hear the cinnamon sugar one shouted out

998
00:56:14,040 --> 00:56:17,560
Speaker 1: as much as it should be that such a grip.

999
00:56:17,680 --> 00:56:22,200
Speaker 1: Did you like the s'mores one like marshmallows, m M.

1000
00:56:22,640 --> 00:56:25,440
Speaker 1: I thought it was solid. Yeah. I was on this

1001
00:56:25,480 --> 00:56:28,759
Speaker 1: Smores one for a minute. Yeah, yeah, yeah, I was

1002
00:56:28,800 --> 00:56:31,239
Speaker 1: on the Moors one as a kid. But Strawberry was

1003
00:56:31,600 --> 00:56:35,080
Speaker 1: that felt just like the crowd please her joint. But

1004
00:56:35,120 --> 00:56:36,480
Speaker 1: I guess the way I look at it too, is

1005
00:56:36,520 --> 00:56:39,439
Speaker 1: I think I would always I think because my mom

1006
00:56:39,520 --> 00:56:42,440
Speaker 1: with her like her post World War two Japan diet,

1007
00:56:42,760 --> 00:56:46,680
Speaker 1: it was very like, you know, rural, like you know,

1008
00:56:46,800 --> 00:56:50,000
Speaker 1: you're eating like food that you're making or cultivating and

1009
00:56:50,040 --> 00:56:52,360
Speaker 1: things like that. So when she was raising me, I

1010
00:56:52,400 --> 00:56:55,240
Speaker 1: would always be like, that's just all it's all fake food.

1011
00:56:55,280 --> 00:56:57,480
Speaker 1: It's all fake. I'm like, yeah, but it's good mom,

1012
00:56:57,560 --> 00:56:59,040
Speaker 1: and the kids won't make fun of me if I

1013
00:56:59,040 --> 00:57:01,560
Speaker 1: know what this is, Okay, please help me. I'm trying

1014
00:57:01,560 --> 00:57:04,840
Speaker 1: to assimilate. But they're also like I think in my

1015
00:57:04,920 --> 00:57:06,799
Speaker 1: mind I've always been like, Okay, I know I'm gonna

1016
00:57:06,840 --> 00:57:09,280
Speaker 1: be eating some things that aren't healthy and I'm always

1017
00:57:09,280 --> 00:57:11,759
Speaker 1: just kind of bouncing out, like knowing what, knowing how

1018
00:57:11,840 --> 00:57:14,640
Speaker 1: much fake booty eat and then get your vegetables and

1019
00:57:14,640 --> 00:57:20,439
Speaker 1: then you find a bounce. I am not a nutritionists.

1020
00:57:21,280 --> 00:57:24,760
Speaker 1: You speak at your school, Joel, what you hit us

1021
00:57:24,800 --> 00:57:29,120
Speaker 1: briefly with you your thoughts on you? Season three? And like,

1022
00:57:29,840 --> 00:57:31,960
Speaker 1: because I do, I see this all over the place.

1023
00:57:32,120 --> 00:57:35,640
Speaker 1: I see the I see the feedback that this is

1024
00:57:35,680 --> 00:57:41,200
Speaker 1: a cultural phenomenon that all I So before we started recording,

1025
00:57:41,200 --> 00:57:43,600
Speaker 1: I was like, yeah, isn't it about a toxic relationship?

1026
00:57:44,720 --> 00:57:48,240
Speaker 1: Revealed to me it's about a serial killer, So yes,

1027
00:57:49,000 --> 00:57:52,800
Speaker 1: nailed it. Joe Goldberg is the main character of You

1028
00:57:53,040 --> 00:57:58,720
Speaker 1: and If. Season one was about discovering that a lot

1029
00:57:58,760 --> 00:58:02,680
Speaker 1: of romantic troops are actually toxic and coming to terms

1030
00:58:02,680 --> 00:58:06,320
Speaker 1: with that. In season two, it was about flipping the

1031
00:58:06,360 --> 00:58:09,800
Speaker 1: script and what happens when Joe meets a toxic woman

1032
00:58:10,400 --> 00:58:13,040
Speaker 1: who's also willing to become a serial killer for his

1033
00:58:13,200 --> 00:58:17,600
Speaker 1: love is about what is it like to be in

1034
00:58:18,200 --> 00:58:21,000
Speaker 1: if when two people are in toxic relationship with one

1035
00:58:21,000 --> 00:58:24,640
Speaker 1: another and they're trying, like they're really trying to make

1036
00:58:24,640 --> 00:58:27,520
Speaker 1: this marriage work, but neither one of them is in

1037
00:58:27,560 --> 00:58:30,000
Speaker 1: it for anything. Like the right reasons. They're in it

1038
00:58:30,040 --> 00:58:32,680
Speaker 1: for the look, they're in it for the baby, They've

1039
00:58:32,720 --> 00:58:36,720
Speaker 1: just had their in it because it's a logical next step.

1040
00:58:36,760 --> 00:58:39,880
Speaker 1: It's what you're supposed to do. This show's ability to

1041
00:58:40,880 --> 00:58:48,120
Speaker 1: imprint modern romantic ideation onto a serial killer is Banana's.

1042
00:58:48,440 --> 00:58:51,200
Speaker 1: It's so Sarah Gamble is in her bag for this,

1043
00:58:51,320 --> 00:58:53,800
Speaker 1: and she has done so much great TV. She did

1044
00:58:53,800 --> 00:58:56,680
Speaker 1: The Magicians before this. I think she was a writer

1045
00:58:56,880 --> 00:59:00,360
Speaker 1: on Supernatural before. She's been in the aim for a

1046
00:59:00,480 --> 00:59:06,480
Speaker 1: very long time. Extremely talented, and there's something so spectacular

1047
00:59:06,480 --> 00:59:08,920
Speaker 1: about this show because what I've seen a little bit

1048
00:59:08,960 --> 00:59:10,760
Speaker 1: here and there, and something that I can easily identify

1049
00:59:10,800 --> 00:59:15,200
Speaker 1: as like I love Joe so much, like understanding that

1050
00:59:15,200 --> 00:59:17,200
Speaker 1: he's a terrible person, but for the character, you're still

1051
00:59:17,200 --> 00:59:20,360
Speaker 1: sort of rooting for him to succeed because they're constantly

1052
00:59:20,400 --> 00:59:23,160
Speaker 1: reflecting on his childhood trauma. How did he become this way?

1053
00:59:23,280 --> 00:59:25,800
Speaker 1: And he has this lie he keeps telling himself. It's

1054
00:59:25,840 --> 00:59:27,600
Speaker 1: like I'm gonna get better and I don't have to

1055
00:59:27,640 --> 00:59:29,439
Speaker 1: do this. No, you know, Joe is not going He's

1056
00:59:29,840 --> 00:59:31,800
Speaker 1: not going to break this habit because he's not really

1057
00:59:31,840 --> 00:59:34,680
Speaker 1: doing anything. But he wants to if you're in therapy,

1058
00:59:34,880 --> 00:59:37,439
Speaker 1: he might be able to identify you like I'm really

1059
00:59:37,480 --> 00:59:42,960
Speaker 1: trying to change. I'm aware of my patterns, yes exactly,

1060
00:59:42,960 --> 00:59:45,520
Speaker 1: and like I really I'm gonna today, I'm not gonna

1061
00:59:45,560 --> 00:59:48,160
Speaker 1: make the same bad choices I made yesterday. My behavioral

1062
00:59:48,240 --> 00:59:51,080
Speaker 1: therapist and I are working really hard at it. But

1063
00:59:51,120 --> 00:59:52,280
Speaker 1: I need I need it. But if I just a

1064
00:59:52,320 --> 00:59:54,760
Speaker 1: little bit of it just to get me through, you know,

1065
00:59:57,480 --> 00:59:59,440
Speaker 1: it's gonna be fine. It's gonna be good. But this

1066
00:59:59,520 --> 01:00:01,880
Speaker 1: is the first like watching Joe b with a woman

1067
01:00:01,960 --> 01:00:05,040
Speaker 1: who again in the same boat of I'm gonna change

1068
01:00:05,080 --> 01:00:07,680
Speaker 1: my behaviors that I'm more aware and really not doing

1069
01:00:07,720 --> 01:00:10,959
Speaker 1: anything to fix the problem, but watching and be married

1070
01:00:10,960 --> 01:00:13,120
Speaker 1: to her and seeing her struggle and try to do

1071
01:00:13,160 --> 01:00:16,080
Speaker 1: all the things that like women who have just become mothers,

1072
01:00:16,080 --> 01:00:19,800
Speaker 1: who are tired, who are no longer feeling they're like young, powerful,

1073
01:00:19,840 --> 01:00:23,040
Speaker 1: sexy selves who are like how do I make you know,

1074
01:00:23,400 --> 01:00:26,760
Speaker 1: myself a good partner to this person and himps being

1075
01:00:26,800 --> 01:00:29,600
Speaker 1: like non fixated on a new girl. Oh, it was

1076
01:00:29,680 --> 01:00:33,160
Speaker 1: like it was so hard. It was such a challenge.

1077
01:00:33,200 --> 01:00:34,760
Speaker 1: I was like, Joe, what are you doing? Like she's

1078
01:00:34,760 --> 01:00:37,160
Speaker 1: really trying. I mean, she's genuinely terrible and you guys

1079
01:00:37,160 --> 01:00:40,280
Speaker 1: should not be together, but she's trying, like you try now,

1080
01:00:40,400 --> 01:00:45,040
Speaker 1: and it's awful but so good. You would love it.

1081
01:00:45,560 --> 01:00:48,600
Speaker 1: If you're into literary references. There are maybe nine and

1082
01:00:48,720 --> 01:00:53,720
Speaker 1: episode like really strong, fun, good literary references. The structure

1083
01:00:53,720 --> 01:00:56,000
Speaker 1: of it is incredible, The writing is powerful, all of

1084
01:00:56,040 --> 01:01:00,240
Speaker 1: the performances out of this World this season. The small list,

1085
01:01:00,400 --> 01:01:03,880
Speaker 1: smallest spoiler you skip ahead ten seconds. The new girl

1086
01:01:04,560 --> 01:01:09,840
Speaker 1: is just attracted to bad men, and there's someone who's

1087
01:01:09,880 --> 01:01:13,600
Speaker 1: been in that boat like it's They're just types of

1088
01:01:13,680 --> 01:01:16,040
Speaker 1: characters and troops that you don't generally get to explore

1089
01:01:16,520 --> 01:01:19,000
Speaker 1: and live in. And I think especially today, because a

1090
01:01:19,080 --> 01:01:23,320
Speaker 1: lot of people are like, we need likable people, we

1091
01:01:23,400 --> 01:01:25,880
Speaker 1: need good people on the show because that's what we like.

1092
01:01:26,320 --> 01:01:28,160
Speaker 1: And to be fair, there's a lane for that. Ted

1093
01:01:28,240 --> 01:01:30,960
Speaker 1: Lasso was in that lane. The Good Place was in

1094
01:01:31,000 --> 01:01:33,200
Speaker 1: that lane. These are people who are genuinely want to

1095
01:01:33,240 --> 01:01:35,360
Speaker 1: be good human beings and I love it. But I'm

1096
01:01:35,400 --> 01:01:39,480
Speaker 1: also very much pro evil person is the lead, and

1097
01:01:39,480 --> 01:01:42,440
Speaker 1: I just love with you that I love rooting for

1098
01:01:42,480 --> 01:01:45,640
Speaker 1: the evil person just because life is hard and you know,

1099
01:01:45,800 --> 01:01:47,560
Speaker 1: most of us are not trying to be evil, and

1100
01:01:47,560 --> 01:01:49,600
Speaker 1: so it's a little bit cathartic to watch somebody who's like,

1101
01:01:49,800 --> 01:01:52,120
Speaker 1: at it, I'm gonna just be terrible. I don't care.

1102
01:01:52,440 --> 01:01:56,080
Speaker 1: I'm embracing my evil side. And the show does that

1103
01:01:56,480 --> 01:02:00,320
Speaker 1: so well while also exploring, I think, what is it

1104
01:02:00,440 --> 01:02:03,920
Speaker 1: to try to be in a romantic relationship in modern times,

1105
01:02:03,960 --> 01:02:06,040
Speaker 1: and does it in a way that's so much better

1106
01:02:06,080 --> 01:02:08,560
Speaker 1: than like many other person of shows that are mostly

1107
01:02:08,600 --> 01:02:11,680
Speaker 1: about the people ending up together still sort of stuck

1108
01:02:11,720 --> 01:02:14,520
Speaker 1: in that fairy tale ideal. This blows that apart. There

1109
01:02:14,600 --> 01:02:17,400
Speaker 1: is no fairy tale. Yeah, I mean that's always a

1110
01:02:17,440 --> 01:02:20,400
Speaker 1: good sign. Like, and that's also really that's why I'm

1111
01:02:20,440 --> 01:02:22,880
Speaker 1: the same. I love shows where you find yourself rooting

1112
01:02:22,920 --> 01:02:24,880
Speaker 1: for the bad guy, and that's born out of just

1113
01:02:25,280 --> 01:02:29,280
Speaker 1: tremendously fantastic, next level writing, because you can't do a

1114
01:02:29,320 --> 01:02:31,520
Speaker 1: show like that and have bad writing. And you're like,

1115
01:02:31,560 --> 01:02:33,920
Speaker 1: do this show is so funny, it's like so problematic,

1116
01:02:33,960 --> 01:02:36,320
Speaker 1: the narrative doesn't even make sense. But when you have

1117
01:02:36,400 --> 01:02:38,960
Speaker 1: this like you're saying, like, this guy's a fucking serial killer,

1118
01:02:39,400 --> 01:02:41,160
Speaker 1: but you're kind of rooting for him and you want

1119
01:02:41,200 --> 01:02:43,360
Speaker 1: them to find love them like, oh I can. That

1120
01:02:43,400 --> 01:02:45,680
Speaker 1: means they're setting that they're setting the table right, so

1121
01:02:46,160 --> 01:02:49,120
Speaker 1: hot mess but in the best way. That's why I

1122
01:02:49,160 --> 01:02:52,120
Speaker 1: like squid Game, because like, you know, despite ourselves, we

1123
01:02:52,160 --> 01:02:54,880
Speaker 1: all find ourselves rooting for that rich guy in the

1124
01:02:54,920 --> 01:03:03,080
Speaker 1: black mask who like set the whole thing up, you know. Yeah. Oh,

1125
01:03:03,680 --> 01:03:05,480
Speaker 1: like they just did the tug of war and it's like,

1126
01:03:05,720 --> 01:03:07,680
Speaker 1: I don't know, he's getting them fun stuff to do

1127
01:03:08,120 --> 01:03:14,600
Speaker 1: and going somewhere. He's a guy with ideas. Uh you know,

1128
01:03:15,120 --> 01:03:21,720
Speaker 1: some think so that's pretty tight alright, Joel as always

1129
01:03:21,760 --> 01:03:24,959
Speaker 1: such a pleasure having you lovely to be back. Where

1130
01:03:24,960 --> 01:03:27,400
Speaker 1: can people find you and follow you? Hey? You guys

1131
01:03:27,400 --> 01:03:29,240
Speaker 1: can find me on the internet, all over the internet.

1132
01:03:29,240 --> 01:03:32,440
Speaker 1: Actual moniquets to j O E l E m O

1133
01:03:32,560 --> 01:03:35,800
Speaker 1: n I q u E. There's an underscore on Instagram,

1134
01:03:36,120 --> 01:03:38,000
Speaker 1: but it's the same thing. You'll find me any way.

1135
01:03:38,000 --> 01:03:41,200
Speaker 1: Are we doing tweets today? Yeah? Tweet love Okay, I

1136
01:03:41,240 --> 01:03:45,080
Speaker 1: got one from Andrew Lloyd Webbery just great. Listen to

1137
01:03:45,160 --> 01:03:47,720
Speaker 1: this Okay. Thank you for those who attended my first

1138
01:03:47,800 --> 01:03:50,760
Speaker 1: ever DJ set last night at the Majestic Fandom Opera

1139
01:03:50,840 --> 01:03:54,480
Speaker 1: block party. Excited on what could be next to me Broadway, London,

1140
01:03:54,680 --> 01:03:57,920
Speaker 1: Abiza and then he signs it a l W his

1141
01:03:58,040 --> 01:04:05,640
Speaker 1: tweet he signed it, I mean, it's so beautiful and

1142
01:04:06,640 --> 01:04:08,880
Speaker 1: if you and laid Webber trying to think there any

1143
01:04:08,880 --> 01:04:11,360
Speaker 1: footage of that, Yes there is, you can. I will

1144
01:04:11,360 --> 01:04:13,760
Speaker 1: send it to you. You can watch it online. Is

1145
01:04:13,800 --> 01:04:15,840
Speaker 1: he like, is he like putting one hand up for

1146
01:04:15,920 --> 01:04:18,000
Speaker 1: like the drop? And he's like, there's an entire audience

1147
01:04:18,440 --> 01:04:21,840
Speaker 1: real quick, it's an entire audience outside it does look

1148
01:04:21,840 --> 01:04:24,040
Speaker 1: a little bit like Abisa, except it's the opening for

1149
01:04:24,040 --> 01:04:28,200
Speaker 1: a Phantom of the Operas returning to Broadway in New York. Hey,

1150
01:04:28,400 --> 01:04:31,800
Speaker 1: Lighters in the sky, miles where can people find you?

1151
01:04:31,840 --> 01:04:35,520
Speaker 1: What's the tweet you've been enjoying? Twitter? Instagram at miles

1152
01:04:35,640 --> 01:04:38,600
Speaker 1: of Gray. Also the other show for twenty day Fiance

1153
01:04:38,760 --> 01:04:41,919
Speaker 1: with Sophia Alexandre where we talked this show ninety day

1154
01:04:42,160 --> 01:04:45,720
Speaker 1: Beyonce say tweets I like first one is from at

1155
01:04:45,760 --> 01:04:48,440
Speaker 1: Love Dove Clark with an E on the end tweeted

1156
01:04:48,680 --> 01:04:51,720
Speaker 1: why are there sports bars but not cute bars where

1157
01:04:51,720 --> 01:04:54,680
Speaker 1: you could sit wine and cheer for competitive cooking shows.

1158
01:04:55,480 --> 01:04:58,200
Speaker 1: I've been thinking about this. I talked about this with

1159
01:04:58,240 --> 01:05:00,480
Speaker 1: Sophia like like reality like a real they show a

1160
01:05:00,520 --> 01:05:02,560
Speaker 1: bar where like when the show is on, people come

1161
01:05:02,640 --> 01:05:05,800
Speaker 1: Sundays it's on, and everybody's like turn it up because

1162
01:05:05,800 --> 01:05:09,000
Speaker 1: I can't believe the bullshit they're saying. Reality bars coming soon.

1163
01:05:09,240 --> 01:05:15,680
Speaker 1: The Yeah, the waiters are hot but not too hot,

1164
01:05:15,800 --> 01:05:19,200
Speaker 1: you know, like obtain but cute that they that they

1165
01:05:19,240 --> 01:05:22,000
Speaker 1: spurred conversations at the table, be like is it just me?

1166
01:05:22,200 --> 01:05:25,240
Speaker 1: Or is the waiter like mad cute? And I was

1167
01:05:25,320 --> 01:05:28,880
Speaker 1: just thinking, now what is it about them? Exactly? And

1168
01:05:28,920 --> 01:05:31,600
Speaker 1: these are how we set these places up there? Oh

1169
01:05:31,640 --> 01:05:33,320
Speaker 1: my god? Anyway, and then the next tweet is from

1170
01:05:33,360 --> 01:05:37,240
Speaker 1: at cav a t cat. Charlotte Moore Lambert tweeted. The

1171
01:05:37,280 --> 01:05:40,920
Speaker 1: tweet is described as the domestication of dogs. Wolf, I'm

1172
01:05:40,920 --> 01:05:45,640
Speaker 1: gonna eat your babies human What if instead of that

1173
01:05:46,280 --> 01:05:55,320
Speaker 1: blankets and peanut butter Wolf, I'm listening with the decor

1174
01:05:55,440 --> 01:05:58,440
Speaker 1: of the Reality bar be like those wine things like

1175
01:05:58,480 --> 01:06:03,000
Speaker 1: wine o'clock, like wine decorations or professionals. It's so it's

1176
01:06:03,000 --> 01:06:06,920
Speaker 1: all like a very plush seating, uh right. All the

1177
01:06:07,080 --> 01:06:13,680
Speaker 1: light is Instagram ready florals everywhere. Yeah, every booth is

1178
01:06:13,720 --> 01:06:16,680
Speaker 1: an Instagram backdrop. That's what That's how Joel and I

1179
01:06:16,720 --> 01:06:19,960
Speaker 1: have designed to space that no matter where you are

1180
01:06:20,080 --> 01:06:23,520
Speaker 1: patronizing the business, it's going to force someone. It's a

1181
01:06:23,520 --> 01:06:25,680
Speaker 1: photo op no matter where you are. And that's how

1182
01:06:25,680 --> 01:06:30,000
Speaker 1: we generate more organic user generated marketing materials. Like Jack.

1183
01:06:30,000 --> 01:06:32,120
Speaker 1: We can talk about this later. You need take the packet,

1184
01:06:32,160 --> 01:06:34,040
Speaker 1: but we need guys to come in at the two

1185
01:06:34,240 --> 01:06:39,040
Speaker 1: dollar level. We can kind of get this thing wrong. Um, alright,

1186
01:06:39,080 --> 01:06:47,600
Speaker 1: a tweet I've been enjoying between two funds too funny, Yeah, tweet,

1187
01:06:47,680 --> 01:06:50,200
Speaker 1: that's my boy. Timothy shallow May sounds like the name

1188
01:06:50,240 --> 01:06:54,160
Speaker 1: of a very wealthy mouse, and I agree. I also

1189
01:06:54,240 --> 01:06:57,440
Speaker 1: just found out Timothy shallow is the offspring of like

1190
01:06:57,640 --> 01:07:00,960
Speaker 1: a very wealthy like a bunch of very wealthy producers.

1191
01:07:01,120 --> 01:07:03,480
Speaker 1: All your favorites are rich and never forget. If you

1192
01:07:03,520 --> 01:07:05,760
Speaker 1: have a favorite, go look up their parents. They're rich,

1193
01:07:05,600 --> 01:07:12,000
Speaker 1: richer and also like and also like legacy in the industry.

1194
01:07:12,320 --> 01:07:14,760
Speaker 1: They're like the people who break through young tend to

1195
01:07:14,760 --> 01:07:20,720
Speaker 1: be pretty pretty well connected. You're Jason Schwartzman, etcetera. All right,

1196
01:07:20,760 --> 01:07:22,919
Speaker 1: you can find me on Twitter at Jack Underscore. O Brian,

1197
01:07:23,000 --> 01:07:25,320
Speaker 1: you can find us on Twitter at Daily zeke Geist.

1198
01:07:25,320 --> 01:07:28,000
Speaker 1: We're at the Daily Zygeist on Instagram. We have a

1199
01:07:28,000 --> 01:07:30,880
Speaker 1: Facebook fan page and a website Daily zy Guys dot Com,

1200
01:07:30,880 --> 01:07:34,240
Speaker 1: where we post our episodes and our footnotes. But we

1201
01:07:34,280 --> 01:07:36,560
Speaker 1: look we look off to the information that we talked

1202
01:07:36,560 --> 01:07:39,360
Speaker 1: about in today's episode, as well as a song that

1203
01:07:39,480 --> 01:07:41,640
Speaker 1: we think you should go check out. Miles, what song

1204
01:07:41,680 --> 01:07:43,760
Speaker 1: do we think people should go check out? Go check

1205
01:07:43,760 --> 01:07:48,480
Speaker 1: out this track? It's called Already by Rochelle Jordan's and

1206
01:07:48,600 --> 01:07:54,080
Speaker 1: it's just got this fucking nineties just house vibe, but

1207
01:07:54,200 --> 01:07:56,840
Speaker 1: it's modern. I just like how these like nineties house

1208
01:07:56,840 --> 01:07:59,280
Speaker 1: sort of tropes are coming back, Like in some of

1209
01:07:59,320 --> 01:08:01,160
Speaker 1: the promo which are is weren't like an all pleather

1210
01:08:01,280 --> 01:08:03,440
Speaker 1: outfit with her braids. I'm like, this has given me

1211
01:08:03,760 --> 01:08:07,480
Speaker 1: to unlimited see and seeing music factory type ship. So

1212
01:08:07,880 --> 01:08:10,280
Speaker 1: listening to this track is definitely a time warp. I

1213
01:08:10,320 --> 01:08:13,960
Speaker 1: think she's from Toronto by way of London, So check

1214
01:08:13,960 --> 01:08:17,000
Speaker 1: out this just just wonderful house track but with a

1215
01:08:17,000 --> 01:08:21,080
Speaker 1: little bit of soul behind it Already by Rochelle Jordan's.

1216
01:08:21,479 --> 01:08:24,360
Speaker 1: Oh right, we're gonna link off to that. The Daily

1217
01:08:24,439 --> 01:08:26,559
Speaker 1: Zekee is the production of I Heart Radio. For more

1218
01:08:26,600 --> 01:08:29,120
Speaker 1: podcasts from My Heart Radio, visit the I Heart Radio app,

1219
01:08:29,120 --> 01:08:32,280
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

1220
01:08:32,280 --> 01:08:34,640
Speaker 1: That's gonna do it for us this morning, but we

1221
01:08:34,720 --> 01:08:36,760
Speaker 1: are back this afternoon to tell you what's trending, and

1222
01:08:36,760 --> 01:08:37,599
Speaker 1: we'll talk to you all then