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Speaker 1: Hello the Internet, and welcome to this episode of the

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Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from

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Speaker 1: this week, all edited together into one NonStop infotainment laugh stravaganza.

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Speaker 1: Uh yeah, So, without further ado, here is the Weekly Zeitgeist.

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Speaker 2: Miles.

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Speaker 1: We're thrilled to be joined in our third seat by

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Speaker 1: an award winning comedian and co host of the Good Muslim,

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Speaker 1: Bad Muslim podcast feature on Oprah Magazine. She is the

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Speaker 1: pop Culture Collaborative Senior Fellow on Comedy for Social Change.

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Speaker 1: It's the brilliant, the talented Zara Normal.

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Speaker 2: I thanky goo god, hi, Hey my god.

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Speaker 3: Thanksgiving was delicious.

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Speaker 2: We had three wow to hear that.

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Speaker 4: I was curious what people eat on Thanksgiving and it

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Speaker 4: is turkey.

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Speaker 5: It turns out I also had ham for the first time.

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Speaker 5: Not for the first time in my life. Oh okay,

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Speaker 5: I'm the pork eating Muslim, but ham for the first

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Speaker 5: time at Thanksgiving.

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Speaker 6: Yeah.

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Speaker 4: That was like a side meat along with the turkey.

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Speaker 7: It was a side meat. Why do we eat turkey?

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Speaker 1: I think the turkey pair is better with the savory sides.

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Speaker 1: So I do I do two plates. My first plate

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Speaker 1: turkey stuffing mashy potatoes and some grave and then on

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Speaker 1: the ham one I like to go with like the

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Speaker 1: sweet potato casserole on the side there because that like

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Speaker 1: has the I feel like ham goes well with the sweet.

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Speaker 1: Ham's a little bit of a sweetie.

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Speaker 5: It was super sweet. It was all buttery and delicious

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Speaker 5: and very salty. And I'm still puffy.

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Speaker 8: Are you?

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Speaker 2: Yeah?

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Speaker 5: I feel I'm going to be bloated for I don't know,

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Speaker 5: a couple of months.

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Speaker 4: Staying wedding ring won't come off. That's why, because it's yeah,

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Speaker 4: because I'm about to go to the club and ball out.

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Speaker 1: Thank you. I feel like for all the guff the

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Speaker 1: turkey gets, and we give it a lot of guff

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Speaker 1: on this podcast. I'll tell you the dryness, I feel

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Speaker 1: like is the thing that made people come out of

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Speaker 1: their comfort zone and invent gravy and stuffing and mashed

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Speaker 1: potatoes and all those wonderful moist Yeah, it.

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Speaker 7: Sounds like you're talking about my vagina.

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Speaker 2: Come on, now, you gotta have that with potatoes.

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Speaker 5: Do you know what I want to talk about? Clear

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Speaker 5: your calendar? Yeah, your agenda. I celebrated this year twenty

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Speaker 5: years of marriage with.

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Speaker 1: My husbands, even realized alred together that long middle years.

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Speaker 4: Yeah, you're exactly twenty eight.

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Speaker 5: Yeah, canonically right, I mean canonically.

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Speaker 7: I don't know what that means because I don't do

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Speaker 7: mental math.

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Speaker 5: But it's a long time, actual woman, this long monogamously.

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Speaker 2: Yeah, the monogues Patrick Monogue.

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Speaker 7: Dedicated to one dick. Yeah, wow, And that's what I'm

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Speaker 7: gonna go around saying, yeah.

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Speaker 4: Just get a T shirt to celebrate your anniversary dedicated

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Speaker 4: to one dick for twenty years in counting.

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Speaker 5: I'm not one of those people that need to like

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Speaker 5: celebrate her husband's dick for everyone. Yeah, yeah, sure, I

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Speaker 5: don't need to talk about like how big it is

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Speaker 5: and how hard he goes and how I'm just orgasming

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Speaker 5: all the time.

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Speaker 7: I don't need to do that.

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Speaker 4: Isn't like a consolation thing for the penis har to

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Speaker 4: like always talk about it.

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Speaker 2: It's like, so, thank you so much for talking about how.

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Speaker 7: Hard my husband's dick is. Like, uh that.

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Speaker 4: You're doing you're doing.

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Speaker 7: His dick is so big it's split.

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Speaker 4: Wow, I get shockered.

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Speaker 7: It's been twenty.

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Speaker 1: Years by the one dick.

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Speaker 2: Wow.

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Speaker 1: That's pretty impressive and strange, but kind of.

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Speaker 5: It's also studied with like an STD from like two

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Speaker 5: thousand and four that we never investigate.

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Speaker 4: Huh yeah, yeah, ruins the marriage to ask questions.

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Speaker 7: We had that for Thanksgiving.

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Speaker 1: That's just an added feature. Exactly, pretty great. What is

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Speaker 1: something from your search history that is revealing about.

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Speaker 2: Who you are?

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Speaker 7: Okay? Dutch ovens.

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Speaker 8: I wanted to know what they were used for Jack

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Speaker 8: he Scott, his mom one. It was really sweet and

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Speaker 8: so not.

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Speaker 1: The one that I was picturing in my mind. Go ahead, nope, okay, no,

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Speaker 1: yeah not.

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Speaker 2: Is that like a Kentucky woman? What that's a different one?

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Speaker 8: Okay, no, just Dutch Ovens.

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Speaker 7: I was like, what the hell?

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Speaker 9: Oh Crusette, Yeah, yeah, because aren't they like like lock Crousette. Well,

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Speaker 9: Lockerusette is one of the brands you get other brands,

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Speaker 9: but uh there's like so you can use it for

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Speaker 9: so many different things and I didn't know and it's

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Speaker 9: very specific.

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Speaker 2: Yeah, what's the specific?

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Speaker 4: I was just making big ass like soups and ship

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Speaker 4: in the Dutch oven that I have.

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Speaker 8: I think it's I think it's good for like certain

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Speaker 8: sauces and stuff, and like if it's porcelain and cast iron,

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Speaker 8: like there's different like combinations. I'm not quite sure, but yeah,

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Speaker 8: I was like carrying my.

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Speaker 1: Cat piss in there. Yeah. It's actually really good because

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Speaker 1: nobody sees what you're carrying around in all the questions like.

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Speaker 8: Is that your pee Jack has been asking you Christmas?

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Speaker 1: You actually don't. You know, somebody tipped you off and

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Speaker 1: that's why you're asking.

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Speaker 10: Movie you side carrying around your cat biss.

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Speaker 2: You're like, oh, I got my famous chili, Like get

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Speaker 2: out of here, better put it over.

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Speaker 10: Here like sver is like, we can't have him in

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Speaker 10: this movie. You're like, what about a wet Frosty? What

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Speaker 10: about a wet yellow Frosty?

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Speaker 1: Yeah, a wet frost I mean Frosty would be wet

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Speaker 1: if he was hot, like you know eventually anyway, melty Frosty.

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Speaker 2: That works.

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Speaker 1: So anyways, you did you guys get one those things.

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Speaker 7: And she was very happy.

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Speaker 8: Not the light cruise like a different brand or whatever,

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Speaker 8: but he bought one for his mom and she was

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Speaker 8: very happy.

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Speaker 1: You could just like put him in any yeah, you

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Speaker 1: like throw him in the oven. You can put one

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Speaker 1: oven in them.

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Speaker 4: Yeah, that's how I make a like a lot of

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Speaker 4: meat pots. The meat like a bowling ace. You do

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Speaker 4: that real slow cook, a real low in the oven.

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Speaker 1: Wait, what so what is a Kentucky woman? By the way,

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Speaker 1: it's like a buttercup? Still, I was only familiar with

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Speaker 1: what is.

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Speaker 2: Going on?

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Speaker 7: Do people still use urban dictionary?

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Speaker 2: I don't know. I think it's out there. I don't know.

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Speaker 7: I know he's out there, but like, I've only ever

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Speaker 7: heard of millennials using it.

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Speaker 8: I feel like, do does gen z use urban dictionary?

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Speaker 2: They don't care because they're making everything up.

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Speaker 1: They don't care what.

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Speaker 7: We're talking about.

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Speaker 3: They're too busy silken, yeah.

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Speaker 4: Exactly, pound in dirty sods. Uh No, it's a that's

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Speaker 4: It's like it's like when you cup a fart and

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Speaker 4: you put it to someone's face.

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Speaker 7: Oh, is that that's a buttercup?

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Speaker 2: Wait?

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Speaker 7: Is that a Kentucky woman or a buttercup?

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Speaker 1: Two hands or what?

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Speaker 2: Interchangeably with some of the what's.

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Speaker 1: Your problem with women?

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Speaker 2: Man? Some of the I don't know.

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Speaker 4: It was just so weird that you're like, what the

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Speaker 4: fuck are you talking about?

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Speaker 1: You know.

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Speaker 4: It?

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Speaker 7: It's like you're like, it's soda and pop.

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Speaker 4: Yeah, this is what happens when you the like the

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Speaker 4: most technology you had at your fingertips at sixteen years

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Speaker 4: old was like a Nokia thirty three ninety phone.

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Speaker 2: Yeah, yeah, I was.

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Speaker 1: Although my eleven year old nephew I did hear giving

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Speaker 1: one of my sons a Dutch oven recently. He was

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Speaker 1: like they were referring to the Dutch oven and it

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Speaker 1: made me feel like I was not.

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Speaker 2: Like, this country isn't lost.

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Speaker 1: This country has a damn future after all, Blair, what

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Speaker 1: is something you think is underrated?

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Speaker 6: What is Oh my god, thank you for asking me,

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Speaker 6: because I gotta say, aliens? Aliens?

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Speaker 3: Are you kidding me?

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Speaker 6: I'm obsessed with the aliens. I can't stop thinking about

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Speaker 6: the aliens. I spent all my time on alien TikTok,

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Speaker 6: and you know I have to say, uh for being

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Speaker 6: such a whack a doodle. I never thought about aliens

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Speaker 6: once in my life until twenty twenty two when the

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Speaker 6: government said, like they're real, and now everyone is just

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Speaker 6: so uninterested and I can't stop thinking about it. I'm

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Speaker 6: amazed and obsessed.

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Speaker 4: I mean, everyone thought yesterday or the third was supposed

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Speaker 4: to be alien invasion day. I kept reading that on

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Speaker 4: the internet.

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Speaker 2: Was like or just a fucking time.

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Speaker 4: But then there are all those drones flying over like

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Speaker 4: New Jersey and all over the US where people like,

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Speaker 4: what are these car sized drones that are like hovering around?

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Speaker 4: And I'm like, right, I don't know, I don't know,

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Speaker 4: but yeah, well I.

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Speaker 6: Was always checking out my window on the hour every day,

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Speaker 6: on the hour last yesterday, because.

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Speaker 1: I was wating that big shadow to come over and

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Speaker 1: you to like kind of look up like that, Oh.

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Speaker 3: Take me, babe, I'm ready that alien walk me like

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Speaker 3: a dog. I'm exhausted.

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Speaker 2: Would you be like, you know, an Independence Day.

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Speaker 4: They're like those people in downtown LA on the top

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Speaker 4: of the at the time was like the first Interstate

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Speaker 4: base building and they're like with their signs are like yes,

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Speaker 4: you're like, oh my god, you guys.

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Speaker 2: Are eating.

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Speaker 3: Slagitch.

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Speaker 6: No, I'm gonna have I'm gonna have like homemade cookies

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Speaker 6: ready for them. You got do you like these are

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Speaker 6: alien cookies? You like any study alien?

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Speaker 1: It look like when I thought aliens were gonna look like,

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Speaker 1: they actually don't look like you. Sorry, you guys are

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Speaker 1: real fucked up looking.

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Speaker 6: But I am worried about that, genuine genuinely because you know, well,

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Speaker 6: I have been perusing all the theories on TikTok, and

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Speaker 6: people are like, well, what if the aliens are actually mermaids?

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Speaker 6: And then and then I started worrying about that because

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Speaker 6: I was like, oh, I don't think they're gonna be

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Speaker 6: like the mermaids from Peter Pan. I think I'm worried

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Speaker 6: they're gonna look like a goddamn or a eel.

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Speaker 1: That's just like yeah, yeah fish, yeah something have like

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Speaker 1: the little light and the big nasty jaws.

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Speaker 6: Yeah I don't want yeah, yeah, we don't want gross

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Speaker 6: faces aliens.

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Speaker 1: Uh, we do like your face gross face killer. But yeah,

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Speaker 1: it's it is something that like when we start talking

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Speaker 1: about it, I sometimes I'm like, why do we ever

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Speaker 1: talk about anything else? But I yeah, it is so

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Speaker 1: interesting that like the more disclosure there's been, or the

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Speaker 1: more seriously the government takes it, the more people are

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Speaker 1: just like, I don't know, man, you guys are saying yeah, yeah.

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Speaker 6: To this all leads truly back to my childhood, the

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Speaker 6: Warped Tour, because Tom DeLong is responsible for all of it.

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Speaker 1: Yeah, definitely, he definitely put yeah man, he put his

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Speaker 1: money where his mouth is.

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Speaker 6: Yeah, he was able to infiltrate the one and convince

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Speaker 6: it for disclosure.

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Speaker 1: Do you think there are messages hidden him blink one

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Speaker 1: ay two lyrics that like slowly just like wormed their

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Speaker 1: way through the minds of Yeah.

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Speaker 6: I would love to talk to Tom DeLong sometime and

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Speaker 6: be like, so, were you visited or how did this

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Speaker 6: all come about for you? How did you know? How

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Speaker 6: did this all happen?

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Speaker 1: You want to know why they need to be reminded

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Speaker 1: of what their age is again because they've had their

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Speaker 1: memory wiped after an alien encounter. Is that right? Yeah?

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Speaker 3: Yes, such an age again?

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Speaker 1: What is something that you think is overrated?

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Speaker 11: Okay, I'm gonna say this. People aren't gonna like it.

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Speaker 11: Nobody's going to agree with me.

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Speaker 3: It's fine.

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Speaker 7: I think that Spotify Wrapped is overrated.

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Speaker 3: I don't care about Spotify rapped.

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Speaker 11: I know what songs I listened to, right, and and

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Speaker 11: then I look at people's page and they're posting their

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Speaker 11: Spotify rapped and it's just everyone's like I listened to

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Speaker 11: Espresso and I'm like, I bet you did.

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Speaker 1: Like I'm a pink pony.

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Speaker 11: I'm a pink pony, Prince Pilates girl or whatever, and

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Speaker 11: I'm like, cool, it seems like everyone I know it

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Speaker 11: is a pink pony pilates girl.

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Speaker 3: My Spotify rap is actually broken this year for some reason.

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Speaker 12: You know what I'm gonna say, at least well, yeah,

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Speaker 12: so okay last year, Okayty.

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Speaker 11: Did reveal that I had Meghan Trainer on my Spotify rap,

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Speaker 11: which was that why she don't like.

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Speaker 12: Spotify rap because she had Megan Trainer on her Spotify

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Speaker 12: and rapped.

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Speaker 1: Yeah, it does feel like it's the equivalent of dreams,

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Speaker 1: like somebody else's Spotify rap is always like kind of

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Speaker 1: uninteresting to me, but like sometimes I learned something I

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Speaker 1: don't want to know about myself in the Spotify rap.

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Speaker 1: For I'm like, oh really damn damn Yeah, okay, yeah, yeah, I.

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Speaker 12: Don't want to unpacked that check or you want to.

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Speaker 1: Just move on, Well what Megan Trainer for.

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Speaker 11: Instance, Megan was last year and I've come to terms

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Speaker 11: with that and I've owned that. But in finding in

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Speaker 11: my Spotify raps being broken this year and me feeling

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Speaker 11: like no motivation to fix it or figure it out,

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Speaker 11: I realized that, like, it just doesn't have a ton

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Speaker 11: of meaning for me. Yeah, but if it does for you,

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Speaker 11: that's fine, But it is, it's it's overrated for me, Yeah.

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Speaker 4: The stuff I learned, I feel like because I'm so

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Speaker 4: used to seeing the Spotify rap like through the year,

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Speaker 4: I'm like, oh, this shit's about to be my number

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Speaker 4: one song, like I can like not even in a

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Speaker 4: way that's celebratory, or I'm like I already know, like

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Speaker 4: I'm playing the shit out of this one album or

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Speaker 4: song that sometimes I don't even look because I'm just

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Speaker 4: like I already know, I already know I fucking nerd

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Speaker 4: it out on like this one song for three straight

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Speaker 4: days on a loop, and that's usually how my whole

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Speaker 4: thing gets thrown off.

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Speaker 2: But yeah, and it was.

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Speaker 12: Made You Look by Megan Trainer is what you're saying.

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Speaker 4: It was made you Look by Megan Trainer, followed by

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Speaker 4: made You Look by nos.

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Speaker 1: Yeah you like that title anything?

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Speaker 2: Yeah, yeah, yeah.

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Speaker 1: Your genre is weirdly songs called made you Look.

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Speaker 12: Like and put in a random word in Spotify and

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Speaker 12: then see all the songs that like roses is a

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Speaker 12: good one or crazy or something, and then like seeing

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Speaker 12: all the songs that like have that. I also say

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Speaker 12: a lot of people at least were hating on Spotify

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Speaker 12: rap this year because Spotify laid off all their creatives

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Speaker 12: so like the fucking Spotify rap this year was like

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Speaker 12: AI and like Whack and Corny were like usually it's

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Speaker 12: like here's are your horoscopes or here's Spotify like everyone

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Speaker 12: who like the top listeners in your city, or this

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Speaker 12: is what people like? Your vibe is like Silverla, can

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Speaker 12: you live in like Chicago or something? But because of

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Speaker 12: what they laid everyone off. The Spotify Spotify rapped was

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Speaker 12: people's mom's dry ass turkey.

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Speaker 2: You like Taylor Swift, You're welcome.

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Speaker 3: I will say.

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Speaker 11: The only person who posted a Spotify raps that intrigued

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Speaker 11: me in any way, shape or form is I would

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Speaker 11: say that the Prince of New York.

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Speaker 3: Posted his, but he blacked.

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Speaker 11: Out one of them. And so now I am intrigued.

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Speaker 11: How I want to know what was I thought?

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Speaker 12: He said it was Rue Paul.

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Speaker 3: He was embursed.

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Speaker 12: He was embarrassed about liking Rue Paul because as is

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Speaker 12: like a city councilman in Bettsty who is like twenty

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Speaker 12: six and he's like democratic socialist and yeah, the.

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Speaker 3: Same broker fee thing removed.

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Speaker 7: He rocks.

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Speaker 11: That's great if that's why the mystery look him on

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Speaker 11: the right side.

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Speaker 4: But like the Rue Paul thing, like Oh, so you

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Speaker 4: were fracking And he's like, well.

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Speaker 12: Yeah, that's that might be it.

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Speaker 4: This is pre fracking, ru Paul. You know, I try

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Speaker 4: to separate the artists from the fracking.

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Speaker 3: Separate the art from the fracking.

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Speaker 1: Well, can't be done.

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Speaker 2: Okay, can't be done.

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Speaker 1: How about you, MELI, is there something that you think

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Speaker 1: is overrated?

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Speaker 6: Yes?

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Speaker 12: As a black woman, I'm gonna go ahead and say

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Speaker 12: that I think Andrew Schultz is overrated. I think Chris Corny,

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Speaker 12: I don't think he's funny at all. First of all,

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Speaker 12: like this, and I'm saying this topically because he did

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Speaker 12: this like five minute crash out because Kendrick Lamar. First

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Speaker 12: of all, Kendrick Lamari said in a song like no

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Speaker 12: white comedians make fun of black women. He didn't say

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Speaker 12: Andrew Schultz, but Andrew Schaltz has since been panicking for

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Speaker 12: like the past week and then went on like this

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Speaker 12: whole diatribe and did like two minutes about how he

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Speaker 12: would he could rape Kendrick Lamar. It was really fucking weird.

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Speaker 12: We'll probably talk about in the podcast release.

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Speaker 3: But I was like, what, I didn't just went there.

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Speaker 12: Well, I'm taller than him, so I could you know

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Speaker 12: I could physically have sex with him and even if

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Speaker 12: he wants to or not, because and it's just like

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Speaker 12: and then all his little lackeys are like laughing, and I'm.

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Speaker 2: Just like this, this this guy's.

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Speaker 12: Corny and it's not He's never been that funny guy.

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Speaker 12: Code is like corny. I don't know, it's just all

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Speaker 12: like it's all dark, and it's like you have Donald Trump,

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Speaker 12: Like also automatically you had Donald Trump on your pod,

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Speaker 12: Like you can't be claiming hip hop or whatever. I

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Speaker 12: don't know, so that's just that. And then he's like, oh,

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Speaker 12: rappers don't respect women either, and it's like, okay, sure,

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Speaker 12: but like shut the fuck up.

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Speaker 4: I don't know, so, yeah, you're not of yeah exactly.

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Speaker 4: He he definitely immediately made that about himself in a

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Speaker 4: way or I just saw a clip of that and

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Speaker 4: I go, I don't need to see anymore of this shit, right,

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Speaker 4: And it's weird to see like all the flagrant pod

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Speaker 4: fans be like.

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Speaker 2: People don't understand his This is just jokes, bro.

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Speaker 4: This is like what he does because he's trying to

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Speaker 4: get a rise at everybody, and he clearly succeeding. I'm like,

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Speaker 4: what a way to describe you being so unfunny and

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Speaker 4: just offensive. They're like it's so funny that y'all are offended, okay,

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Speaker 4: and so he has won the argument and yeah, and

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Speaker 4: if Kendrick claps back like Andrew's just gonna win, that's

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Speaker 4: just like there's no way Kendrick wins this one. And

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Speaker 4: you're like, this isn't even about that, this is about

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Speaker 4: if anything was about Drake.

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Speaker 12: So yeah, just like brain rotted, I'm like, like it's

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Speaker 12: not funny, Like what is funny about this? And then

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Speaker 12: you're clap back to someone being like, don't talk about

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Speaker 12: black women because it's just that like you, it's actually yeah,

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Speaker 12: like that's just not I'm just trying to find where

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Speaker 12: it's funny and it's not. And it's just like half

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Speaker 12: of these and I'm just waiting now that Trump's in president,

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Speaker 12: I'm just like, let us be the canceled Like I

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Speaker 12: want to be the canceled comedy whatever. Yeah, and get

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Speaker 12: all those like reactionary fucking money that these people are

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Speaker 12: so rich. It's like all the like the Top ten

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Speaker 12: podcast us like stress me Out. It's all these like

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Speaker 12: rich white people who are just talking bullshit and I'm

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Speaker 12: just like shut up.

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Speaker 13: Yeah, So anyway, that was yeah, yeah, yeah, I was

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Speaker 13: gonna say that.

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Speaker 12: Like that's the worst part of every Andrew Schultz clip

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Speaker 12: is that he says the most racist crazy ship on

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Speaker 12: his podcast and then there's like no less than five

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Speaker 12: men of color like laughing at.

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Speaker 4: And signing, and then it's funny too, well, who are

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Speaker 4: those like two black dudes from England who like came

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Speaker 4: back like well.

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Speaker 12: Pod on the pod they got the ships and gigs pod,

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Speaker 12: which we know, yeah, like they're fucking they they completely

405
00:20:48,040 --> 00:20:52,160
Speaker 12: fucked their ship up because their their audience was primarily women.

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Speaker 12: So yeah, we those guys are they're like, oh, we

407
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Speaker 12: had what did they say, fight or flight? Andrew Schultz

408
00:21:01,640 --> 00:21:04,119
Speaker 12: said that racist thing and we just laughed along because

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00:21:04,160 --> 00:21:06,760
Speaker 12: we had fight in our flight. Like we didn't know

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Speaker 12: like that this was gonna happen. We thought it was

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Speaker 12: just gonna be like fun talking. It's like, you didn't

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Speaker 12: google Andrew Schultz like once, right, I guess they don't

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00:21:16,400 --> 00:21:19,359
Speaker 12: have Google. They probably uses something else in England dot

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Speaker 12: co dot UK, dot co dot UK. That's how they

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Speaker 12: got you.

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Speaker 1: All right, let's uh, let's take a quick break. We'll

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Speaker 1: come back and we'll get into some news. We'll be

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Speaker 1: right back, and we're back, We're back. And yeah, So

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Speaker 1: the biggest healthcare insurance provider CEO, was killed in front

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Speaker 1: of the hotel that I stayed at like a month

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Speaker 1: and a half ago, and that is really part of

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Speaker 1: the store.

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Speaker 4: It's immediately made about that that you stayed at that

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Speaker 4: hot that Hilton.

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Speaker 2: Yeah, I noticed that. You didn't write it in the headline.

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Speaker 3: Look, I'm just glad you narrowly escaped this.

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Speaker 1: Okay, Jack, Yeah, very narrowly. How do we know the

428
00:22:10,960 --> 00:22:12,080
Speaker 1: bullet wasn't meant for me?

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Speaker 2: We don't. We don't yet know that.

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Speaker 1: We know very little.

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Speaker 2: I was there two months prior.

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Speaker 1: But this is a company, United Healthcare, that had already

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Speaker 1: been getting a little bit of attention. Yeah, because I

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Speaker 1: mean people, because they don't pay people's healthcare costs.

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Speaker 4: They're the biggest insurance provider, you know what I mean.

436
00:22:31,680 --> 00:22:35,000
Speaker 4: The basically what happened was, I'm sure people know, like

437
00:22:35,080 --> 00:22:37,520
Speaker 4: a gunman just pulled up right behind this guy in

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Speaker 4: front of the hotel and shot him down with like

439
00:22:39,840 --> 00:22:44,439
Speaker 4: a silenced gun and yeah, and then hopped on a

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Speaker 4: city bike and went off into Central Park. And vanished,

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Speaker 4: and I think that right now the manhunt is on

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Speaker 4: as of the time we were recording this, since it is.

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Speaker 2: Later on Wednesday.

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Speaker 4: So then basically he was later pronounced dead and the

445
00:22:56,359 --> 00:22:59,080
Speaker 4: cops did say that they this was like a targeted shooting.

446
00:22:59,280 --> 00:23:03,359
Speaker 4: So if was targeted, what could the motive possibly be

447
00:23:03,560 --> 00:23:06,679
Speaker 4: is what immediately I think launched a thousand takes on

448
00:23:06,720 --> 00:23:07,240
Speaker 4: the internet.

449
00:23:07,960 --> 00:23:09,120
Speaker 2: But I think that's what kind of.

450
00:23:09,080 --> 00:23:12,600
Speaker 4: Makes this story very interesting and feels like we're on

451
00:23:12,640 --> 00:23:14,359
Speaker 4: the I don't know, were in the edge of something

452
00:23:14,480 --> 00:23:19,040
Speaker 4: very different. But United again biggest healthcare provider. Most people

453
00:23:19,040 --> 00:23:21,800
Speaker 4: would describe their practices as evil, which I think is

454
00:23:21,960 --> 00:23:25,760
Speaker 4: pretty standard across most health insurance providers. They bring in

455
00:23:25,840 --> 00:23:32,880
Speaker 4: almost six billion dollars a quarter in profits. That's two

456
00:23:33,040 --> 00:23:40,240
Speaker 4: billion a month in profits. Okay, yes, this guy, Brian Thompson.

457
00:23:40,280 --> 00:23:42,600
Speaker 4: His pay was around reported to be around ten million

458
00:23:42,640 --> 00:23:45,359
Speaker 4: a year. So again, this is not a small business

459
00:23:45,359 --> 00:23:47,119
Speaker 4: person as someone who's like at the front of like

460
00:23:47,160 --> 00:23:51,960
Speaker 4: a gigantic behemoth company that again preys on people's need

461
00:23:52,040 --> 00:23:55,200
Speaker 4: for health insurance to extract profits. So the most recent

462
00:23:55,200 --> 00:23:58,439
Speaker 4: headlines just surrounding United in general have to do with

463
00:23:58,520 --> 00:24:01,560
Speaker 4: obviously like they're constant denial of insurance claims, Like they

464
00:24:01,640 --> 00:24:04,160
Speaker 4: by far deny the most insurance claims out of any

465
00:24:04,200 --> 00:24:05,760
Speaker 4: provider they've been using.

466
00:24:06,920 --> 00:24:08,800
Speaker 1: That's what he was about to get on stage and say,

467
00:24:08,840 --> 00:24:12,480
Speaker 1: we're putting up numbers. We are denying so many claims.

468
00:24:13,040 --> 00:24:18,160
Speaker 4: Yeah, they're playing ballingay the diplomats, they were using AI

469
00:24:18,240 --> 00:24:21,399
Speaker 4: to deny claims they have. They are like anti trust

470
00:24:21,440 --> 00:24:25,280
Speaker 4: investigations by the Department of Justice and like seriously shady shit,

471
00:24:25,400 --> 00:24:30,080
Speaker 4: like they let their clearinghouse and claims processing system go down,

472
00:24:30,440 --> 00:24:35,120
Speaker 4: which essentially stopped money flowing to the physicians and hospitals

473
00:24:35,440 --> 00:24:38,040
Speaker 4: that are providing the care that they're like, okay, now

474
00:24:38,080 --> 00:24:40,439
Speaker 4: pay me for for dividing the care, you're the insurance company.

475
00:24:40,720 --> 00:24:43,119
Speaker 4: And so that lack of money moving through the system

476
00:24:43,160 --> 00:24:46,439
Speaker 4: has led to a lot of cash strapped practices that

477
00:24:46,560 --> 00:24:49,720
Speaker 4: are being bought up by fucking United Healthcare.

478
00:24:49,920 --> 00:24:51,560
Speaker 1: Well you know what, it's you know who has a

479
00:24:51,560 --> 00:24:55,520
Speaker 1: lot of money now that we're no longer paying you U. Yeah,

480
00:24:55,560 --> 00:24:59,280
Speaker 1: so we're, uh, you need to need to buy you exactly.

481
00:25:00,160 --> 00:25:03,359
Speaker 4: Really that So, I mean there's a lot like the

482
00:25:03,400 --> 00:25:05,560
Speaker 4: one thing that I was really reading about, like because

483
00:25:05,560 --> 00:25:08,960
Speaker 4: Thompson was in charge of like Medicare and government programs,

484
00:25:09,000 --> 00:25:12,080
Speaker 4: and that side of United's business is pretty fucked up.

485
00:25:12,119 --> 00:25:16,399
Speaker 4: So for like they're they right now, they're enrollees in

486
00:25:16,440 --> 00:25:19,880
Speaker 4: their Medicare advantage program. They account for like almost thirty

487
00:25:19,960 --> 00:25:23,600
Speaker 4: percent of like the people who are on like on Medicare.

488
00:25:24,040 --> 00:25:27,320
Speaker 4: And again they're doing this whole thing where they lean

489
00:25:27,440 --> 00:25:31,200
Speaker 4: on doctors to put these diagnosis codes into the patient's

490
00:25:31,200 --> 00:25:34,399
Speaker 4: medical records. And then those codes again, those give you

491
00:25:34,440 --> 00:25:37,040
Speaker 4: a score that are like how healthy or sick is

492
00:25:37,119 --> 00:25:39,560
Speaker 4: this person? And if you are more sick, then you

493
00:25:39,600 --> 00:25:42,159
Speaker 4: are able to get more money from the government. So

494
00:25:42,200 --> 00:25:45,199
Speaker 4: they they're telling doctors like you need to put you

495
00:25:45,400 --> 00:25:47,960
Speaker 4: We want these people. It's beneficial for us as a

496
00:25:47,960 --> 00:25:50,160
Speaker 4: company if these people look as sick as possible.

497
00:25:50,400 --> 00:25:51,119
Speaker 2: Can you do this?

498
00:25:51,640 --> 00:25:54,400
Speaker 4: And again this is from this report quote Medicare advantage

499
00:25:54,400 --> 00:25:57,119
Speaker 4: insurers have gained the system by excessively coding their members,

500
00:25:57,119 --> 00:26:00,400
Speaker 4: resulting in massive over payments to the companies. Over payments

501
00:26:00,400 --> 00:26:03,720
Speaker 4: based on coding alone are expected to total fifty billion

502
00:26:03,800 --> 00:26:07,120
Speaker 4: dollars this year, more than the Department of Justice's entire budget.

503
00:26:07,440 --> 00:26:11,399
Speaker 4: Dozens of former doctors and employees at United Health Medical

504
00:26:11,440 --> 00:26:15,040
Speaker 4: Practices told stat how they became enmeshed in United Health

505
00:26:15,040 --> 00:26:17,920
Speaker 4: strategy to make their patients seem as sick as possible.

506
00:26:18,160 --> 00:26:21,320
Speaker 4: Doctors said the company had a fixation with medical coding

507
00:26:21,400 --> 00:26:25,000
Speaker 4: to generate more revenue, encouraging clinicians through bonuses and performance

508
00:26:25,040 --> 00:26:28,479
Speaker 4: reviews to identify more health problems in patients, even if

509
00:26:28,520 --> 00:26:31,840
Speaker 4: those conditions seemed dubious. I mean, I think most people

510
00:26:31,880 --> 00:26:34,960
Speaker 4: know that our healthcare system is not like on the

511
00:26:35,040 --> 00:26:37,159
Speaker 4: up and up. But that's where like you'd hope that

512
00:26:37,280 --> 00:26:40,040
Speaker 4: this event would maybe kick off some kind of reckoning

513
00:26:40,040 --> 00:26:42,159
Speaker 4: with our healthcare system. But I feel like in the

514
00:26:42,240 --> 00:26:44,760
Speaker 4: age we're in, we're more likely to probably see headlines

515
00:26:44,800 --> 00:26:47,080
Speaker 4: saying that it's like it's actually immigrants that are the

516
00:26:47,119 --> 00:26:50,679
Speaker 4: ones that are causing skyrocketing health care costs, and not

517
00:26:50,760 --> 00:26:53,680
Speaker 4: the fact that these insurance companies are basically controlling the

518
00:26:53,720 --> 00:26:57,399
Speaker 4: game from both ends. His wife did say that he

519
00:26:57,520 --> 00:27:00,639
Speaker 4: had been receiving threats prior to this. Uh, this is

520
00:27:00,680 --> 00:27:04,639
Speaker 4: what she told NBC News quote, there had been some threats. Basically,

521
00:27:05,240 --> 00:27:09,000
Speaker 4: I don't know, A lack of coverage was how she described,

522
00:27:09,920 --> 00:27:11,160
Speaker 4: like people's.

523
00:27:12,240 --> 00:27:15,600
Speaker 6: Yeah, yeah, well this Honestly, this story sounds like the

524
00:27:15,600 --> 00:27:17,720
Speaker 6: opening scene of a Batman movie.

525
00:27:17,800 --> 00:27:18,800
Speaker 3: I'm not even kidding.

526
00:27:19,119 --> 00:27:23,000
Speaker 6: Yeah, And these are the most unre This is the

527
00:27:23,040 --> 00:27:31,119
Speaker 6: most unregulated predatory industry in our country and profiting like

528
00:27:31,359 --> 00:27:35,800
Speaker 6: and you know, the the suicides and things that happened

529
00:27:36,040 --> 00:27:39,000
Speaker 6: that go into medical debt and like I'm going through

530
00:27:39,040 --> 00:27:41,359
Speaker 6: this thing. I'm about to have surgery on my head

531
00:27:41,440 --> 00:27:43,879
Speaker 6: to remove a mass in a couple of weeks, and

532
00:27:43,920 --> 00:27:46,960
Speaker 6: it's been a two year long process. I have, Like

533
00:27:47,640 --> 00:27:50,560
Speaker 6: I pay one of my biggest expenses is like private

534
00:27:50,600 --> 00:27:55,120
Speaker 6: health insurance, and it increases dramatically every single year.

535
00:27:55,640 --> 00:27:58,320
Speaker 3: I was having so many, so much trouble getting these

536
00:27:58,359 --> 00:28:00,399
Speaker 3: scans that I almost just gave up.

537
00:28:00,880 --> 00:28:04,440
Speaker 6: I feel like so bad for people who It made

538
00:28:04,480 --> 00:28:08,800
Speaker 6: me realize so much about health insurance in the health

539
00:28:08,840 --> 00:28:13,560
Speaker 6: industry and people who have real cancer and all this stuff,

540
00:28:13,840 --> 00:28:16,639
Speaker 6: what they go through. It is just so sad and like,

541
00:28:17,160 --> 00:28:20,520
Speaker 6: don't I also don't like when people celebrate like bad

542
00:28:20,560 --> 00:28:25,440
Speaker 6: people's deaths, Like I find it barbaric no matter who

543
00:28:25,480 --> 00:28:29,240
Speaker 6: they are, Like I'll never be excited that someone was murdered,

544
00:28:29,640 --> 00:28:31,280
Speaker 6: because then you become just like them.

545
00:28:31,720 --> 00:28:36,120
Speaker 3: But like, this is a true, true issue and it.

546
00:28:36,040 --> 00:28:39,480
Speaker 6: Does mark and maybe I'm wrong and chronically online, but

547
00:28:39,600 --> 00:28:44,640
Speaker 6: it also just feels a general escalation worldwide of things

548
00:28:44,680 --> 00:28:47,720
Speaker 6: like that are happening right now, just just like an

549
00:28:47,720 --> 00:28:51,720
Speaker 6: intensity and escalation of energy that's happening.

550
00:28:52,320 --> 00:28:55,200
Speaker 1: Yeah, a lot of I feel like a lot of

551
00:28:55,240 --> 00:28:57,440
Speaker 1: the stuff we've been talking about in the aftermath the

552
00:28:57,480 --> 00:29:00,760
Speaker 1: election with regards like people being fed up the system

553
00:29:01,320 --> 00:29:03,200
Speaker 1: and like voting the way they did because they just

554
00:29:03,240 --> 00:29:05,520
Speaker 1: wanted to like go with the side that wasn't like

555
00:29:05,680 --> 00:29:09,120
Speaker 1: the current system is working great, We're killing it over here.

556
00:29:09,480 --> 00:29:14,280
Speaker 1: I think the industry, the version of the current system

557
00:29:14,360 --> 00:29:18,800
Speaker 1: as it currently exists that people that is affecting the

558
00:29:18,840 --> 00:29:24,800
Speaker 1: most people's lives and the most transparently evil and malfunctioning

559
00:29:24,840 --> 00:29:30,040
Speaker 1: way is the healthcare and like health insurance industry, And

560
00:29:30,400 --> 00:29:32,480
Speaker 1: so it makes sense that this would be like a

561
00:29:32,520 --> 00:29:36,480
Speaker 1: place where we would see like something irrupt on this front.

562
00:29:36,520 --> 00:29:39,080
Speaker 6: But well, they have like some demonic practices Like I

563
00:29:39,080 --> 00:29:41,400
Speaker 6: remember when I was like tweeting through I had this

564
00:29:41,520 --> 00:29:46,200
Speaker 6: biopsy denied and the someone wrote me and was like,

565
00:29:46,320 --> 00:29:49,360
Speaker 6: I work in the billing at the health insurance company,

566
00:29:49,400 --> 00:29:51,280
Speaker 6: and just so you know, they make us deny the

567
00:29:51,320 --> 00:29:54,560
Speaker 6: first to requests automatically Yeah. I was like, how is

568
00:29:54,560 --> 00:29:57,440
Speaker 6: that even possible? You try to make people give up

569
00:29:57,880 --> 00:29:59,200
Speaker 6: and then they still.

570
00:29:59,120 --> 00:30:03,920
Speaker 1: It's like sick, yeah, it's come back, come back wing,

571
00:30:03,960 --> 00:30:08,040
Speaker 1: you're really automatically deny, Like how is that even how.

572
00:30:07,960 --> 00:30:08,560
Speaker 3: Is that legal?

573
00:30:09,240 --> 00:30:09,400
Speaker 2: Right?

574
00:30:09,440 --> 00:30:11,280
Speaker 4: And that's why United has like a lot of healthcare

575
00:30:11,560 --> 00:30:13,640
Speaker 4: or a lot of turnover with people that are dealing

576
00:30:13,720 --> 00:30:16,560
Speaker 4: with claims because they're like what is that Like you're

577
00:30:16,600 --> 00:30:19,440
Speaker 4: telling me like this this person needs care and you're like.

578
00:30:19,400 --> 00:30:19,719
Speaker 1: No, no, no.

579
00:30:19,760 --> 00:30:22,000
Speaker 4: Our apolicies like just to fucking deny it first and

580
00:30:22,040 --> 00:30:24,800
Speaker 4: then if they really want it, then they'll come back.

581
00:30:25,360 --> 00:30:27,880
Speaker 1: Anyone who's ever had to deal with insurance companies, whether

582
00:30:27,920 --> 00:30:30,400
Speaker 1: you have like good insurance or like bad insurance or

583
00:30:30,520 --> 00:30:33,560
Speaker 1: you know, health insurance in the United States, like their

584
00:30:33,720 --> 00:30:38,239
Speaker 1: ultimate goal is to not pay for the thing that

585
00:30:38,280 --> 00:30:41,760
Speaker 1: you need them to pay for. And it's like it's obvious,

586
00:30:41,960 --> 00:30:43,680
Speaker 1: and they do a lot like a lot of the

587
00:30:44,360 --> 00:30:48,360
Speaker 1: we've talked about like people's suspicion around the Democratic parties,

588
00:30:48,480 --> 00:30:53,000
Speaker 1: like you know, having these really complicated programs that people

589
00:30:53,320 --> 00:30:55,400
Speaker 1: that are supposed to like solve the problems that I

590
00:30:55,400 --> 00:30:58,920
Speaker 1: think people are suspicious of that because the you know,

591
00:30:59,080 --> 00:31:04,520
Speaker 1: corporations and like the current system hides behind complexity, and

592
00:31:04,640 --> 00:31:07,480
Speaker 1: like the things that are always hiding behind complexity and

593
00:31:07,560 --> 00:31:11,400
Speaker 1: long contracts or like long bureaucratic processes is always like

594
00:31:11,480 --> 00:31:16,200
Speaker 1: fucking you over and like funneling money upward towards the corporations,

595
00:31:16,200 --> 00:31:20,160
Speaker 1: and like they are the version of that that most

596
00:31:20,200 --> 00:31:23,800
Speaker 1: people are going to you know, theft hiding behind complexity

597
00:31:23,920 --> 00:31:28,560
Speaker 1: is like theirm O and you know, I just feel

598
00:31:28,560 --> 00:31:31,280
Speaker 1: like it makes sense to me that this is going

599
00:31:31,320 --> 00:31:34,320
Speaker 1: to be a place where people are feeling a ton

600
00:31:34,400 --> 00:31:38,800
Speaker 1: of rage and like that there's a big we've talked

601
00:31:38,840 --> 00:31:41,640
Speaker 1: before about this book, The Ministry for the Future. That's

602
00:31:42,160 --> 00:31:44,720
Speaker 1: it's a sci fi novel, but it's about like the

603
00:31:44,840 --> 00:31:47,680
Speaker 1: near future and like how things will start to like

604
00:31:47,800 --> 00:31:51,480
Speaker 1: break apart and could fix themselves. And like one of

605
00:31:51,520 --> 00:31:55,240
Speaker 1: the things that they predict we're going to start seeing

606
00:31:55,320 --> 00:31:59,800
Speaker 1: are these like more class based terror attacks, where like

607
00:32:00,320 --> 00:32:03,640
Speaker 1: the thing that they talk about is like private jets

608
00:32:04,080 --> 00:32:07,360
Speaker 1: start getting like taken down by drones like out of

609
00:32:07,400 --> 00:32:10,640
Speaker 1: the sky, and like that's the only way they can

610
00:32:10,680 --> 00:32:13,240
Speaker 1: get like the wealthy to stop flying in private jets

611
00:32:13,400 --> 00:32:16,400
Speaker 1: and then the wealthy to get on board with like

612
00:32:16,480 --> 00:32:20,440
Speaker 1: a carbon based economy because they're like kidnapped and held

613
00:32:20,480 --> 00:32:23,320
Speaker 1: hostage at Davos. Some like I do feel like we're

614
00:32:23,360 --> 00:32:26,560
Speaker 1: probably going to start seeing something like that at some

615
00:32:26,720 --> 00:32:28,440
Speaker 1: point in the in the coming years.

616
00:32:28,720 --> 00:32:32,200
Speaker 4: It's a it's an it's an inevitability when you have

617
00:32:32,400 --> 00:32:36,880
Speaker 4: such gaps in wealth that people do understand that you

618
00:32:37,000 --> 00:32:40,920
Speaker 4: can harm someone or kidnap someone to get money, like

619
00:32:41,520 --> 00:32:45,760
Speaker 4: it happens everywhere there's massive wealth inequality. I think it's

620
00:32:46,320 --> 00:32:50,760
Speaker 4: just like looking at you know, the whole picture, it is. Yeah,

621
00:32:50,800 --> 00:32:54,440
Speaker 4: Like I'm like, this feels like an for sure an escalation.

622
00:32:54,920 --> 00:32:56,960
Speaker 4: But again, like there's gonna like to your point, Blair,

623
00:32:56,920 --> 00:33:00,200
Speaker 4: there'll be a lot of hand ringing over whether or

624
00:33:00,240 --> 00:33:03,720
Speaker 4: not this person's death was justified. But I think that's

625
00:33:03,800 --> 00:33:06,440
Speaker 4: completely misses the point when the real discussion needs to

626
00:33:06,480 --> 00:33:09,880
Speaker 4: be around whether or not like our greed based system

627
00:33:10,000 --> 00:33:13,720
Speaker 4: of care is justified. That's really like if it's just

628
00:33:13,760 --> 00:33:17,120
Speaker 4: all about who's who's the guy? What were they thinking?

629
00:33:17,440 --> 00:33:20,760
Speaker 4: Why did they use a city bike? It's like the real,

630
00:33:21,080 --> 00:33:24,480
Speaker 4: the real fucking issue is that we have completely normalized

631
00:33:24,520 --> 00:33:27,760
Speaker 4: and we celebrate this system of like squeezing profits out

632
00:33:27,760 --> 00:33:31,480
Speaker 4: of people to the point of financial and emotional bankruptcy,

633
00:33:31,720 --> 00:33:34,600
Speaker 4: and like we that that that is immoral, and I

634
00:33:34,680 --> 00:33:36,640
Speaker 4: know that it'll be much easier to sort of get

635
00:33:36,680 --> 00:33:39,240
Speaker 4: into the minutia of things to avoid those kinds of discussions.

636
00:33:39,280 --> 00:33:41,720
Speaker 4: But that's all of this, Like when you see, like

637
00:33:41,720 --> 00:33:43,600
Speaker 4: to your point, Jack, like the rage and lack of

638
00:33:43,600 --> 00:33:46,440
Speaker 4: sympathy or empathy for this guy, it's all born out

639
00:33:46,480 --> 00:33:48,800
Speaker 4: of the fact that many people have felt They're like, well,

640
00:33:48,880 --> 00:33:51,640
Speaker 4: this guy is profiting off of an industry that quite

641
00:33:51,640 --> 00:33:54,480
Speaker 4: literally puts people to their premature death in the name

642
00:33:54,520 --> 00:33:58,959
Speaker 4: of profits, and that's there's a lot of just that

643
00:33:59,080 --> 00:34:01,920
Speaker 4: anger not being addressed. Yeah, is only I think going

644
00:34:02,000 --> 00:34:05,600
Speaker 4: to increase, especially as people's financial situations get dire and

645
00:34:05,640 --> 00:34:08,600
Speaker 4: like people get like you read all these horses like

646
00:34:08,640 --> 00:34:11,280
Speaker 4: I had, I had a procedure done and they've discovered

647
00:34:11,280 --> 00:34:13,160
Speaker 4: I had cancer, but then they said they were going

648
00:34:13,239 --> 00:34:15,800
Speaker 4: to deny my coverage because there was a pre existing condition.

649
00:34:15,960 --> 00:34:17,719
Speaker 2: Like then what are.

650
00:34:17,600 --> 00:34:22,160
Speaker 4: They Like, you're telling people, Yeah, you're fucked. That's the

651
00:34:22,280 --> 00:34:25,719
Speaker 4: message you're giving people, and that I can manifest in

652
00:34:25,719 --> 00:34:27,600
Speaker 4: a number of ways. And I think it's still early

653
00:34:27,880 --> 00:34:30,840
Speaker 4: right to know what may or may not have happened,

654
00:34:30,840 --> 00:34:33,440
Speaker 4: but the police are definitely like it feels targeted.

655
00:34:35,360 --> 00:34:38,759
Speaker 1: The reason is, yeah, I feel like the story is

656
00:34:38,840 --> 00:34:42,160
Speaker 1: people's reaction and the fact that people are like kind

657
00:34:42,200 --> 00:34:46,120
Speaker 1: of celebratory. It's like, you know that that's a dark

658
00:34:46,200 --> 00:34:49,280
Speaker 1: place we're in, but I feel like that will be

659
00:34:49,680 --> 00:34:53,239
Speaker 1: that that's going to get people's attention. And you know what,

660
00:34:53,400 --> 00:34:57,080
Speaker 1: whether the person is like some assassin who's doing this

661
00:34:57,120 --> 00:35:01,000
Speaker 1: for class based reasons or for like retro or it's

662
00:35:01,160 --> 00:35:04,239
Speaker 1: just you know, like I don't know, but my touch

663
00:35:04,280 --> 00:35:07,520
Speaker 1: point for crimes like this that always like seem like

664
00:35:07,520 --> 00:35:10,960
Speaker 1: they're going to have one you know, story, one like

665
00:35:11,000 --> 00:35:13,719
Speaker 1: shape to them, like a lot of time, like the

666
00:35:13,800 --> 00:35:17,239
Speaker 1: anthrax attacks immediately after nine to eleven, where it just

667
00:35:17,280 --> 00:35:20,160
Speaker 1: seemed like, Okay, this is this is our new reality.

668
00:35:20,160 --> 00:35:23,239
Speaker 1: There's just gonna be widening like anthrax attacks and like

669
00:35:23,280 --> 00:35:26,320
Speaker 1: that's how the terror attacks are going to be happening

670
00:35:26,360 --> 00:35:28,360
Speaker 1: from now on. And then it turned out it was

671
00:35:28,360 --> 00:35:31,320
Speaker 1: like probably a guy who worked in the government anthrax

672
00:35:31,400 --> 00:35:36,640
Speaker 1: labs who investigated the anthrax attacks and was like doing

673
00:35:36,640 --> 00:35:40,200
Speaker 1: it to try and get more funding for his anthrax

674
00:35:40,280 --> 00:35:43,759
Speaker 1: labs because they were like just like, like I get

675
00:35:43,920 --> 00:35:46,560
Speaker 1: the equivalent of that would be like this person, this

676
00:35:46,760 --> 00:35:50,160
Speaker 1: killer is like doing it because he is in the

677
00:35:50,200 --> 00:35:53,239
Speaker 1: industry of like security for wealthy people, and he's like

678
00:35:53,320 --> 00:35:58,400
Speaker 1: trying to get like drum get business for rich people, which,

679
00:35:58,560 --> 00:36:00,600
Speaker 1: by the way, that is going to happen. Then like

680
00:36:01,080 --> 00:36:05,400
Speaker 1: the wealthy are this is boom times for private security companies.

681
00:36:05,600 --> 00:36:07,279
Speaker 1: I have to assume after this.

682
00:36:07,600 --> 00:36:10,520
Speaker 6: Yeah, yeah, but they just need someone I mean, I

683
00:36:10,560 --> 00:36:13,440
Speaker 6: know this has been said forever, but like they need

684
00:36:13,480 --> 00:36:19,279
Speaker 6: to completely overhaul that industry, like someone hardcore passed, put

685
00:36:19,280 --> 00:36:24,279
Speaker 6: the hammer down, make some hardcore laws, like revamp the

686
00:36:24,320 --> 00:36:24,879
Speaker 6: whole thing.

687
00:36:25,000 --> 00:36:27,200
Speaker 4: But I mean, well, I think this is the gridlock

688
00:36:27,239 --> 00:36:29,560
Speaker 4: that we experience right because to most people, you're like,

689
00:36:29,640 --> 00:36:31,800
Speaker 4: this can't keep going. And then to the people on

690
00:36:31,840 --> 00:36:34,000
Speaker 4: the other side of that equation who are reaping the profits,

691
00:36:34,040 --> 00:36:34,279
Speaker 4: like this.

692
00:36:34,239 --> 00:36:36,440
Speaker 2: Shit is never gonna fucking stop. Are you kidding me?

693
00:36:36,440 --> 00:36:38,839
Speaker 4: And we'll put as much money as possible into making

694
00:36:38,840 --> 00:36:42,160
Speaker 4: sure the laws don't change, and even if it is Obamacare,

695
00:36:42,400 --> 00:36:44,640
Speaker 4: we'll find a way to start making money on other ways.

696
00:36:44,640 --> 00:36:47,520
Speaker 4: Even if Obamacare will cap the profits we can make

697
00:36:47,520 --> 00:36:51,080
Speaker 4: on healthcare, then we'll find other like other avenues to

698
00:36:51,160 --> 00:36:52,919
Speaker 4: profit off of which they did.

699
00:36:53,440 --> 00:36:56,960
Speaker 1: Yeah, Obamacare was written by private like people from the

700
00:36:56,960 --> 00:37:03,160
Speaker 1: private insurance healthcare, health insurance come uh industry Like that's yeah, yeah.

701
00:37:02,960 --> 00:37:04,600
Speaker 4: Because that's what before it is like, well, we pay

702
00:37:04,640 --> 00:37:07,319
Speaker 4: the insurance. And then they're like, so there's a cap

703
00:37:07,360 --> 00:37:10,120
Speaker 4: on what you make from insurance. But then then they

704
00:37:10,200 --> 00:37:12,200
Speaker 4: must have known this in writing it. They're like, but

705
00:37:12,800 --> 00:37:15,239
Speaker 4: there's no cap to what we can make off of

706
00:37:15,400 --> 00:37:19,279
Speaker 4: providing medical care. And that's when things started changing and

707
00:37:19,440 --> 00:37:23,120
Speaker 4: this consolidation began. But yeah, I think that's what like

708
00:37:23,160 --> 00:37:25,040
Speaker 4: that sort of frustration is because a lot of times

709
00:37:25,040 --> 00:37:28,120
Speaker 4: you're like, with climate change and things like this, you're like,

710
00:37:28,160 --> 00:37:30,919
Speaker 4: these people are fucking killing us, and you're like, how

711
00:37:30,960 --> 00:37:33,480
Speaker 4: the fuck is there no recourse? And you always talk

712
00:37:33,520 --> 00:37:38,439
Speaker 4: about like these people aren't afraid of like the proletarians basically, yeah,

713
00:37:38,480 --> 00:37:41,440
Speaker 4: and that's that like, and people always wondering like is

714
00:37:41,440 --> 00:37:43,480
Speaker 4: that what they need they need to be scared or whatever,

715
00:37:43,520 --> 00:37:45,480
Speaker 4: And this is kind of like I think feeding into

716
00:37:45,520 --> 00:37:47,480
Speaker 4: that because that's you see so many people. I think,

717
00:37:47,520 --> 00:37:50,760
Speaker 4: even Jack if it comes out and this the motive

718
00:37:50,800 --> 00:37:53,480
Speaker 4: had nothing to do with like health insurance practices. I

719
00:37:53,520 --> 00:37:56,360
Speaker 4: feel like people because they are so enraged by the system,

720
00:37:56,480 --> 00:38:00,239
Speaker 4: it'll completely memory hole that because it feels like a

721
00:38:00,280 --> 00:38:03,080
Speaker 4: clean cause and effect, Like these people are fucking monsters

722
00:38:03,239 --> 00:38:05,839
Speaker 4: and that's just what fucking happens. I think so many

723
00:38:05,840 --> 00:38:09,680
Speaker 4: people are truly just feel that rage in their bones

724
00:38:09,760 --> 00:38:10,560
Speaker 4: because whether.

725
00:38:10,320 --> 00:38:14,200
Speaker 6: It's a crisis, it's a real crisis. Like and you

726
00:38:14,280 --> 00:38:19,040
Speaker 6: hear those horrific stories that are just so heartbreaking where

727
00:38:19,120 --> 00:38:22,200
Speaker 6: someone will take their own life because they don't want

728
00:38:22,200 --> 00:38:25,399
Speaker 6: to burden their family with the debt or stuff like that.

729
00:38:25,400 --> 00:38:29,000
Speaker 6: It's just so devastating and dystopian.

730
00:38:29,760 --> 00:38:32,680
Speaker 4: Yeah, or get like divorced so then their spouse won't

731
00:38:32,719 --> 00:38:35,080
Speaker 4: have to incur any of like the debt. There's like

732
00:38:35,120 --> 00:38:37,120
Speaker 4: you're like, what kind of maneuvering is this?

733
00:38:37,560 --> 00:38:40,719
Speaker 2: Yeah, that we don't Again, this was.

734
00:38:40,640 --> 00:38:43,319
Speaker 4: Interest because like when shinzo Abe was assassinated and that

735
00:38:43,320 --> 00:38:46,920
Speaker 4: guy shot him with a homemade shotgun. The it's it

736
00:38:47,000 --> 00:38:49,239
Speaker 4: was interesting people and like the news the way the

737
00:38:49,280 --> 00:38:50,400
Speaker 4: country sort of handled that was.

738
00:38:50,400 --> 00:38:51,560
Speaker 2: Sort of like, well why.

739
00:38:52,080 --> 00:38:54,600
Speaker 4: And then it became this larger thing about how political

740
00:38:54,600 --> 00:38:57,520
Speaker 4: parties were entrenched with different organizations and there was like

741
00:38:57,560 --> 00:39:00,440
Speaker 4: a reckoning there. I just don't with something like this.

742
00:39:00,600 --> 00:39:03,520
Speaker 4: I don't will this actually, Like I'm curious how the

743
00:39:03,560 --> 00:39:06,400
Speaker 4: mainstream media covers this. Is it just going to be

744
00:39:06,480 --> 00:39:09,960
Speaker 4: like this is out of control. People have like homemade

745
00:39:09,960 --> 00:39:12,560
Speaker 4: suppressors and are walking around on the streets of New York.

746
00:39:12,600 --> 00:39:13,440
Speaker 2: We need police.

747
00:39:13,760 --> 00:39:16,720
Speaker 4: That's probably the way to go, because that makes existing

748
00:39:16,719 --> 00:39:21,200
Speaker 4: industries more you know, profitable, rather than why and what

749
00:39:21,400 --> 00:39:23,839
Speaker 4: is the big problem here? But I feel like then

750
00:39:23,880 --> 00:39:26,759
Speaker 4: you start getting into universal healthcare, and that seems to be,

751
00:39:27,640 --> 00:39:28,600
Speaker 4: you know, a third rail.

752
00:39:28,840 --> 00:39:34,200
Speaker 1: It's a non starter. Miles, that's a yeah, so you understand, YEAHOX.

753
00:39:33,920 --> 00:39:36,760
Speaker 3: News is going to be like, oh, poor person was mad?

754
00:39:37,440 --> 00:39:42,000
Speaker 1: Yea yeah, right, yeah, well yeah, probably both sides want

755
00:39:42,080 --> 00:39:44,279
Speaker 1: that to be the shape of the story enough that

756
00:39:44,400 --> 00:39:47,480
Speaker 1: like that will become somehow or another of the story

757
00:39:47,560 --> 00:39:51,239
Speaker 1: until they like actually catch the person and they're like

758
00:39:51,880 --> 00:39:56,080
Speaker 1: it was actually numerology, I just picked them at random.

759
00:39:56,400 --> 00:39:59,040
Speaker 1: All right, let's take a quick break and we'll come

760
00:39:59,080 --> 00:40:02,880
Speaker 1: back and talk about a new Mickey Mouse slasher film.

761
00:40:03,200 --> 00:40:19,399
Speaker 1: Come on, and we're back. And as mentioned, you might

762
00:40:19,440 --> 00:40:23,719
Speaker 1: be hearing helicopters diving and swooping in the background, and

763
00:40:23,760 --> 00:40:25,759
Speaker 1: you might be thicking Those aren't l A p. D

764
00:40:25,960 --> 00:40:29,040
Speaker 1: helicopters that we normally hear diving and swooping in the

765
00:40:29,040 --> 00:40:32,880
Speaker 1: background of Miles and Jack's recordings. Those helicopters sound like

766
00:40:32,880 --> 00:40:35,880
Speaker 1: they're looking for somebody in New York City. You know,

767
00:40:35,920 --> 00:40:37,520
Speaker 1: it's totally it's a different vibe.

768
00:40:37,560 --> 00:40:40,080
Speaker 3: Those helicopters sound like they answer to Eric Adams.

769
00:40:40,360 --> 00:40:40,839
Speaker 2: That's right.

770
00:40:43,640 --> 00:40:49,200
Speaker 1: They seem is someone drunk driving those helicopters yew York.

771
00:40:50,800 --> 00:40:52,640
Speaker 3: That's a really good Eric Adams.

772
00:40:54,760 --> 00:40:56,040
Speaker 2: When he talked about.

773
00:40:58,200 --> 00:41:02,319
Speaker 1: Twins hours, you talk about what is great about New

774
00:41:02,360 --> 00:41:04,960
Speaker 1: York City. The great thing about New York City. You

775
00:41:04,960 --> 00:41:07,840
Speaker 1: could have planes crash into your twin towers or somebody

776
00:41:07,840 --> 00:41:13,840
Speaker 1: open a business. That's what's great. Wait nine eleven is why.

777
00:41:14,440 --> 00:41:16,520
Speaker 2: Great things? Is that?

778
00:41:17,000 --> 00:41:19,560
Speaker 1: Did that bring you guys to New York City? The

779
00:41:19,600 --> 00:41:21,480
Speaker 1: possibility of another.

780
00:41:22,920 --> 00:41:26,160
Speaker 11: You know, one of the beautiful things about New York is, Yeah,

781
00:41:26,239 --> 00:41:29,439
Speaker 11: anything could happen. You could one day, you could start

782
00:41:29,440 --> 00:41:33,480
Speaker 11: a podcast. The next day you could see that a

783
00:41:33,520 --> 00:41:34,719
Speaker 11: healthcare executive has.

784
00:41:34,640 --> 00:41:36,320
Speaker 3: Been gunned down in the streets.

785
00:41:38,000 --> 00:41:39,920
Speaker 7: Anything can happen anything.

786
00:41:40,600 --> 00:41:44,280
Speaker 1: Yeah. It's been interesting to see the different reactions because

787
00:41:44,280 --> 00:41:48,960
Speaker 1: the mainstream media is like this is not good, and

788
00:41:49,320 --> 00:41:52,960
Speaker 1: we're you know, like talking about it as like, uh,

789
00:41:53,239 --> 00:41:55,200
Speaker 1: you know, how how our company is going to react

790
00:41:55,239 --> 00:41:58,680
Speaker 1: to this, and you know, just covering it as a straightforward,

791
00:41:59,040 --> 00:42:02,279
Speaker 1: terrible thing that has happened, right the way that I

792
00:42:02,280 --> 00:42:07,200
Speaker 1: guess we've always reacted to murders. But then there's a

793
00:42:07,320 --> 00:42:14,400
Speaker 1: real upswell of internet sentiment that's just like very celebratory.

794
00:42:14,680 --> 00:42:17,920
Speaker 1: They had to shut down through out the entire r

795
00:42:18,080 --> 00:42:23,719
Speaker 1: medicine thread about the case because doctors were cracking too

796
00:42:23,719 --> 00:42:28,120
Speaker 1: many jokes about this person's murder. But yeah, what are

797
00:42:28,120 --> 00:42:29,400
Speaker 1: we hearing from the New York Times.

798
00:42:29,719 --> 00:42:32,160
Speaker 4: I Mean, there's just different things, right because you know,

799
00:42:32,360 --> 00:42:34,120
Speaker 4: when this thing happened, I was like, this is not.

800
00:42:34,080 --> 00:42:37,279
Speaker 2: Going to spur some conversation about our healthcare system. It's not.

801
00:42:37,320 --> 00:42:40,120
Speaker 4: They're going to focus everything like on the crime itself,

802
00:42:40,400 --> 00:42:42,279
Speaker 4: which I get that's what they're doing as journalists, but

803
00:42:42,440 --> 00:42:44,640
Speaker 4: like to completely miss that dimension of it, I think

804
00:42:44,760 --> 00:42:47,200
Speaker 4: is a little odd if that's the you know, because

805
00:42:47,200 --> 00:42:49,000
Speaker 4: they're still like, what could be the motive, even though

806
00:42:49,040 --> 00:42:51,800
Speaker 4: they just found that on some of the shells or

807
00:42:51,960 --> 00:42:56,640
Speaker 4: the casings and bullets that were at the scene, said denied, defend, depose,

808
00:42:57,280 --> 00:43:00,680
Speaker 4: and you know, some some of some some outlets are

809
00:43:00,719 --> 00:43:03,080
Speaker 4: doing some head scratching, and you're like, this might be

810
00:43:03,160 --> 00:43:06,719
Speaker 4: tied to a phrase used in the insurance industry.

811
00:43:06,800 --> 00:43:09,320
Speaker 1: Some sort of police based batman villain.

812
00:43:09,800 --> 00:43:10,359
Speaker 2: I don't know.

813
00:43:10,600 --> 00:43:13,200
Speaker 4: And then others did blatantly point out, like there is

814
00:43:13,239 --> 00:43:17,600
Speaker 4: a book called Delayed, Deny Defend whose subtitle is why

815
00:43:17,680 --> 00:43:20,839
Speaker 4: insurance companies don't pay play or pay claims and what

816
00:43:20,880 --> 00:43:23,600
Speaker 4: you can do about it? The New York Times, there's

817
00:43:23,640 --> 00:43:27,759
Speaker 4: just one sentence that's really just glossed over something kind

818
00:43:27,800 --> 00:43:30,319
Speaker 4: of important. This is just one sentence said quote chief

819
00:43:30,360 --> 00:43:34,000
Speaker 4: executive officers of healthcare companies often receive threats because of

820
00:43:34,040 --> 00:43:40,320
Speaker 4: the nature of their work. Moving along, go on, what

821
00:43:40,600 --> 00:43:43,160
Speaker 4: is the nature of that work and how could that

822
00:43:43,200 --> 00:43:47,920
Speaker 4: potentially radicalize someone? So again, a few articles then pointed

823
00:43:47,960 --> 00:43:51,800
Speaker 4: out that United has quote relatively high instances of denying

824
00:43:51,840 --> 00:43:54,640
Speaker 4: coverage when it is in fact like an outlier in

825
00:43:54,719 --> 00:43:58,600
Speaker 4: terms of denying coverage and making massive profits. Then there

826
00:43:58,640 --> 00:44:01,600
Speaker 4: are more articles in paragraph pointing to like what companies

827
00:44:01,680 --> 00:44:04,839
Speaker 4: can and should do to protect their leadership. Another thing

828
00:44:04,880 --> 00:44:06,880
Speaker 4: that like we found out in the last day was

829
00:44:06,880 --> 00:44:09,120
Speaker 4: apparently he was also this guy, the CEO is being

830
00:44:09,160 --> 00:44:12,920
Speaker 4: investigated for insider training because there was a doj Anti

831
00:44:12,920 --> 00:44:15,680
Speaker 4: trust investigation happening that wasn't public yet, but he just

832
00:44:15,760 --> 00:44:17,880
Speaker 4: offloaded a ton of shares like to the tune of

833
00:44:17,920 --> 00:44:22,080
Speaker 4: fifteen million dollars before the before the news became public.

834
00:44:22,560 --> 00:44:26,080
Speaker 4: So again they're still kind of doing the thing where

835
00:44:26,120 --> 00:44:28,879
Speaker 4: they're like, we still we're not sure what is going on,

836
00:44:29,200 --> 00:44:32,719
Speaker 4: but kind of around the margins, pointing at things that

837
00:44:33,000 --> 00:44:36,560
Speaker 4: again may have affected somebody to the point that they

838
00:44:36,560 --> 00:44:39,120
Speaker 4: were motivated to kill this guy. And I don't know

839
00:44:39,160 --> 00:44:42,640
Speaker 4: it just it's a very interesting moment because this is like,

840
00:44:42,640 --> 00:44:45,480
Speaker 4: like you're saying at the top, Jack, like, the the

841
00:44:45,640 --> 00:44:49,319
Speaker 4: sentiment around this guy who killed Brian Thompson is like,

842
00:44:49,480 --> 00:44:51,799
Speaker 4: this guy's fucking bay, you know what I mean, Like,

843
00:44:51,880 --> 00:44:55,239
Speaker 4: we love this dude, he's hot, this is the this

844
00:44:55,320 --> 00:44:58,040
Speaker 4: is the dopest shit we've ever seen. And I think

845
00:44:58,160 --> 00:45:00,719
Speaker 4: that definitely feels different, you know what I mean. We're

846
00:45:00,719 --> 00:45:03,480
Speaker 4: like unanimously people were like, yeah, I don't care that

847
00:45:03,520 --> 00:45:07,200
Speaker 4: this guy got gunned down because I think because this

848
00:45:07,320 --> 00:45:11,640
Speaker 4: CEO happened to be just represent like a physical manifestation

849
00:45:11,880 --> 00:45:15,759
Speaker 4: of all the wrongs that the insurance industry enacts on

850
00:45:15,920 --> 00:45:18,960
Speaker 4: just regular people, and I think for that reason, like all,

851
00:45:19,000 --> 00:45:20,560
Speaker 4: it's like a lightning rod for all of this I

852
00:45:20,719 --> 00:45:22,600
Speaker 4: or that people have for the insurance as a whole

853
00:45:22,880 --> 00:45:24,680
Speaker 4: is just turning into like memes about like.

854
00:45:24,640 --> 00:45:25,239
Speaker 2: This one guy.

855
00:45:26,320 --> 00:45:30,120
Speaker 11: Yeah, I feel like, okay, well number one, I just

856
00:45:30,160 --> 00:45:32,760
Speaker 11: want to say, as we always say on Go Touch Grass,

857
00:45:32,760 --> 00:45:35,200
Speaker 11: that Go Touch Grass is an anti murder podcast.

858
00:45:35,400 --> 00:45:37,480
Speaker 3: Ultimately, I have again.

859
00:45:37,480 --> 00:45:48,280
Speaker 1: That always like it's not cool, but.

860
00:45:46,560 --> 00:45:48,640
Speaker 3: We actually had to say more than you would.

861
00:45:48,400 --> 00:45:51,680
Speaker 12: Think about the woman who was harassing Gypsy Rose. There

862
00:45:51,719 --> 00:45:54,520
Speaker 12: was a girl that was like, you know, making fun

863
00:45:54,560 --> 00:45:57,920
Speaker 12: of Gypsy Rose a lot and harassing her. Uh you know,

864
00:45:57,960 --> 00:46:00,040
Speaker 12: and it's like, okay, well what Gypsy Rose did, it

865
00:46:00,120 --> 00:46:01,840
Speaker 12: wasn't cool, but you know.

866
00:46:01,880 --> 00:46:04,920
Speaker 3: It's not cool, and then then you know the Trump

867
00:46:04,960 --> 00:46:05,520
Speaker 3: assass it.

868
00:46:05,719 --> 00:46:11,080
Speaker 11: Comes up again Anti murder podcast. But I will say

869
00:46:11,120 --> 00:46:15,360
Speaker 11: for my personal self, my hope for my life is

870
00:46:15,400 --> 00:46:17,719
Speaker 11: that I live my life in such a way that

871
00:46:17,800 --> 00:46:20,720
Speaker 11: if someone guns me down in the streets of New York,

872
00:46:20,880 --> 00:46:22,200
Speaker 11: the reaction isn't.

873
00:46:22,560 --> 00:46:24,080
Speaker 3: Oh yeah, we know why he did.

874
00:46:23,960 --> 00:46:27,960
Speaker 11: That, right, Oh yeah, no, that's for sure for sure.

875
00:46:29,360 --> 00:46:35,960
Speaker 12: Well, and I'm also just Like, it's interesting because in

876
00:46:36,000 --> 00:46:40,760
Speaker 12: the post election kind of post mortem conversations that people

877
00:46:40,760 --> 00:46:44,759
Speaker 12: are having, you know, the reasons why Democrats fared so

878
00:46:44,920 --> 00:46:49,560
Speaker 12: poorly was because of there wasn't any good solid anti

879
00:46:49,640 --> 00:46:54,239
Speaker 12: popular like our populist policy and all that stuff, and

880
00:46:54,239 --> 00:46:57,320
Speaker 12: people are like, oh, people are you know, are voting

881
00:46:57,400 --> 00:47:00,200
Speaker 12: for Trump because they wanted to say fuck you and

882
00:47:00,280 --> 00:47:02,799
Speaker 12: like they want cheaper eggs and shit like that and

883
00:47:02,840 --> 00:47:07,239
Speaker 12: like that has you know, and there's been pushback on

884
00:47:07,480 --> 00:47:10,359
Speaker 12: you know, by the establishment of like well that's not true.

885
00:47:10,400 --> 00:47:11,680
Speaker 12: It's like basically and all this stuff.

886
00:47:11,680 --> 00:47:12,640
Speaker 2: But like the.

887
00:47:12,680 --> 00:47:17,960
Speaker 12: Reaction to you know, somebody their blood there, like people

888
00:47:18,000 --> 00:47:19,960
Speaker 12: do want to do something and they're doing it. Like

889
00:47:20,080 --> 00:47:23,440
Speaker 12: it's kind of escalating in this way where you know,

890
00:47:23,760 --> 00:47:28,080
Speaker 12: is voting for Trump the solution, No, I don't think so.

891
00:47:28,760 --> 00:47:33,120
Speaker 12: Is gutting someone down in midtown the solution probably not.

892
00:47:33,280 --> 00:47:36,800
Speaker 12: But like people, but there aren't other solutions being presented.

893
00:47:37,239 --> 00:47:41,000
Speaker 12: No one is stopping these healthcare companies, no one is

894
00:47:41,040 --> 00:47:45,240
Speaker 12: making any you know, so people are feeling it and

895
00:47:45,320 --> 00:47:49,359
Speaker 12: everyone's acting like everything's okay and yeah, so I could

896
00:47:49,440 --> 00:47:51,480
Speaker 12: totally see someone being like, yeah, fuck it, like I

897
00:47:51,480 --> 00:47:54,200
Speaker 12: don't give a fuck about. You know, they've denied like

898
00:47:54,920 --> 00:47:57,520
Speaker 12: thousands and thousands of claims and thousands of people have

899
00:47:57,560 --> 00:48:00,720
Speaker 12: to die for this guy's like to afford his fourth

900
00:48:00,800 --> 00:48:04,080
Speaker 12: yacht or something, and for you know, like I could

901
00:48:04,320 --> 00:48:06,920
Speaker 12: kind of understand like the sentiment of like, well, I

902
00:48:06,920 --> 00:48:07,719
Speaker 12: don't give a fuck.

903
00:48:08,320 --> 00:48:10,120
Speaker 4: Yeah, I mean, like when you think when like in

904
00:48:10,160 --> 00:48:13,200
Speaker 4: that thread on Reddit that got taken down because doctors

905
00:48:13,200 --> 00:48:16,200
Speaker 4: were just sort of being very you know, clear on

906
00:48:16,440 --> 00:48:19,600
Speaker 4: how they felt about insurance companies. One person posted quote,

907
00:48:19,600 --> 00:48:22,280
Speaker 4: I cannot even guess how many person years United Healthcare

908
00:48:22,280 --> 00:48:25,319
Speaker 4: has taken from patients and their families through denials. It

909
00:48:25,400 --> 00:48:27,879
Speaker 4: has to be on the order of millions. His death

910
00:48:27,880 --> 00:48:29,400
Speaker 4: won't make that better, But it's hard for me to

911
00:48:29,400 --> 00:48:32,160
Speaker 4: sympathize when so many people have suffered because of his company.

912
00:48:32,640 --> 00:48:34,960
Speaker 4: And yeah, like you, I think to your point too,

913
00:48:35,360 --> 00:48:38,360
Speaker 4: really like it's not even that like they're not offering solutions,

914
00:48:38,400 --> 00:48:41,160
Speaker 4: they're not even acknowledging this is a fucking problem.

915
00:48:41,280 --> 00:48:43,000
Speaker 2: Yeah, you know what I mean. I think that's where

916
00:48:43,000 --> 00:48:43,359
Speaker 2: we're at.

917
00:48:43,400 --> 00:48:45,440
Speaker 4: It's like before it's like, yeah, we should maybe we

918
00:48:45,480 --> 00:48:48,680
Speaker 4: can get like prescription drug costs, Like that's the closest

919
00:48:48,719 --> 00:48:51,560
Speaker 4: they get to say, yeah, let's have a reckoning with

920
00:48:51,600 --> 00:48:55,600
Speaker 4: our insurance, because that's like very small potatoes in terms

921
00:48:55,600 --> 00:48:57,960
Speaker 4: of like the profit margins for the companies that they're

922
00:48:58,040 --> 00:49:00,960
Speaker 4: ultimately beholden too. It's like, what if like, okay, we

923
00:49:00,960 --> 00:49:04,640
Speaker 4: weren't selling like insulin at like six sex markups and

924
00:49:04,680 --> 00:49:07,200
Speaker 4: instead like around two or three x kind of thing,

925
00:49:07,360 --> 00:49:10,200
Speaker 4: rather than zooming out and saying we actually don't take

926
00:49:10,239 --> 00:49:12,480
Speaker 4: care of people. And the culture in the United States

927
00:49:12,520 --> 00:49:15,800
Speaker 4: is you have to be able to afford to stay alive,

928
00:49:16,000 --> 00:49:19,960
Speaker 4: and if you cannot, then you know that just you know,

929
00:49:20,040 --> 00:49:22,440
Speaker 4: the American natural selection will do its thing.

930
00:49:22,960 --> 00:49:23,560
Speaker 1: Yeah.

931
00:49:23,760 --> 00:49:26,239
Speaker 11: I think it's so interesting to Milly's point about like

932
00:49:26,280 --> 00:49:28,479
Speaker 11: the election contributing to it, Like we are just coming

933
00:49:28,480 --> 00:49:31,120
Speaker 11: off an election where healthcare wasn't like part of it.

934
00:49:31,160 --> 00:49:34,160
Speaker 3: At all, No one was really talk.

935
00:49:34,280 --> 00:49:35,920
Speaker 11: You know, it's so interesting when we compare it to

936
00:49:36,000 --> 00:49:40,080
Speaker 11: like the twenty twenty primaries or even twenty sixteen, where

937
00:49:40,120 --> 00:49:42,400
Speaker 11: like both of those, like healthcare plans were a big

938
00:49:42,520 --> 00:49:48,640
Speaker 11: part of the Democrat the Democrat like policies and stuff

939
00:49:48,680 --> 00:49:51,120
Speaker 11: like what people were putting forward in the primary, and

940
00:49:51,160 --> 00:49:53,360
Speaker 11: this time, I mean, yeah, we didn't have a primary

941
00:49:53,360 --> 00:49:55,759
Speaker 11: and stuff, but it's like no one was talking about it,

942
00:49:56,080 --> 00:49:59,400
Speaker 11: so you can't trust this administration to do anything about it.

943
00:49:59,480 --> 00:50:01,880
Speaker 11: The next innistration is obviously not going to do anything

944
00:50:01,920 --> 00:50:06,799
Speaker 11: about it. People feel, People feel helpless and hopeless, and

945
00:50:07,160 --> 00:50:14,319
Speaker 11: when that happens, they make desperate decisions. That also, you know,

946
00:50:14,360 --> 00:50:17,640
Speaker 11: a company like our entire health insurance system in the

947
00:50:17,760 --> 00:50:21,400
Speaker 11: US contributes to this devaluing of human life at the

948
00:50:21,520 --> 00:50:23,600
Speaker 11: end of the day, Like they're putting dollar amounts on

949
00:50:23,680 --> 00:50:27,759
Speaker 11: what it's worth for you to like survive cancer or

950
00:50:27,800 --> 00:50:30,160
Speaker 11: not survive cancer or whatever. And at the end of

951
00:50:30,160 --> 00:50:33,000
Speaker 11: the day, it's like, yeah, you kind of have contributed

952
00:50:33,040 --> 00:50:38,600
Speaker 11: to an environment in which people see human life in

953
00:50:38,800 --> 00:50:44,080
Speaker 11: terms of dollar signs and like little marginal dividends and

954
00:50:44,120 --> 00:50:47,200
Speaker 11: shit like that. Yeah, like you you helped to create

955
00:50:47,280 --> 00:50:50,160
Speaker 11: that by putting a system in place where you can

956
00:50:50,239 --> 00:50:54,160
Speaker 11: tell somebody, Oh, actually you don't really need insulin, do you?

957
00:50:54,200 --> 00:50:56,439
Speaker 11: Blue Cross Blue Shield, just announce it. Oh, they're only

958
00:50:56,440 --> 00:51:00,560
Speaker 11: going to cover antithes. Yeah, like only up to a

959
00:51:00,600 --> 00:51:04,080
Speaker 11: certain like numb like time limit and then they're not

960
00:51:04,120 --> 00:51:07,239
Speaker 11: going to cover your ants anymore. Like that contributes to

961
00:51:07,320 --> 00:51:12,960
Speaker 11: a world where people feel more comfortable shooting somebody in

962
00:51:13,000 --> 00:51:13,480
Speaker 11: the end of.

963
00:51:13,360 --> 00:51:14,120
Speaker 10: The end of the day.

964
00:51:14,239 --> 00:51:16,520
Speaker 4: There's a lot of hand ringing about like they have

965
00:51:16,600 --> 00:51:20,680
Speaker 4: completely dehumanized the CEO and again broadening, broadening out the

966
00:51:20,680 --> 00:51:24,040
Speaker 4: conversation is every person who has to interact with private

967
00:51:24,080 --> 00:51:26,720
Speaker 4: healthcare and anyone who has to interact with the healthcare

968
00:51:26,719 --> 00:51:30,200
Speaker 4: system in this country already feels dehumanized.

969
00:51:30,239 --> 00:51:32,799
Speaker 2: There's already humanized.

970
00:51:33,800 --> 00:51:37,799
Speaker 4: A spreadsheet, but the empathy can is only going one

971
00:51:37,840 --> 00:51:40,400
Speaker 4: way in a lot of the coverage rather than again

972
00:51:40,480 --> 00:51:43,600
Speaker 4: like because I felt like any any anything constructive that

973
00:51:43,640 --> 00:51:45,640
Speaker 4: would come out of this is some kind of reckoning

974
00:51:45,719 --> 00:51:48,360
Speaker 4: with our for profit healthcare system. But again we have

975
00:51:48,440 --> 00:51:50,560
Speaker 4: more stuff of like why didn't he have a private

976
00:51:50,560 --> 00:51:53,439
Speaker 4: security detail, and like this company is like the one

977
00:51:53,440 --> 00:51:56,080
Speaker 4: that is protecting CEOs in like this part of the world,

978
00:51:56,120 --> 00:51:57,640
Speaker 4: and maybe they can learn something from them.

979
00:51:57,880 --> 00:52:01,440
Speaker 1: Yeah, yeah, I do think that it It's really a

980
00:52:01,480 --> 00:52:04,719
Speaker 1: good point that you make about the election, because the

981
00:52:06,040 --> 00:52:09,200
Speaker 1: solutions that the Democratic Party put forward that I think

982
00:52:09,239 --> 00:52:10,719
Speaker 1: a lot of the people who are like how could

983
00:52:10,719 --> 00:52:15,640
Speaker 1: they have lost point to are really like technocratic, complicated

984
00:52:15,680 --> 00:52:19,000
Speaker 1: solutions that are tied to companies like this or would

985
00:52:19,000 --> 00:52:22,560
Speaker 1: have to go through companies like this and they end

986
00:52:22,640 --> 00:52:25,719
Speaker 1: up like people are just tired of getting fucked over

987
00:52:25,840 --> 00:52:30,480
Speaker 1: by these super complex systems, and so yeah, I just

988
00:52:30,520 --> 00:52:34,200
Speaker 1: think this is like a perfect vortex of like all

989
00:52:34,280 --> 00:52:37,040
Speaker 1: the things that are frustrating to people and make people

990
00:52:37,040 --> 00:52:40,160
Speaker 1: feel like there's no solution, there's no path forward for

991
00:52:40,200 --> 00:52:41,000
Speaker 1: things to get better.

992
00:52:41,520 --> 00:52:45,879
Speaker 12: I will also say, if you were a doctor on

993
00:52:46,640 --> 00:52:51,960
Speaker 12: the Reddit ur medicine that got your thing deleted and

994
00:52:52,000 --> 00:52:57,480
Speaker 12: your single hit me up like slide in the DMS,

995
00:52:57,960 --> 00:53:03,000
Speaker 12: let's talk about our path for especially if you like

996
00:53:03,120 --> 00:53:05,080
Speaker 12: large Areola is like, let's talk.

997
00:53:08,040 --> 00:53:08,520
Speaker 2: Come through.

998
00:53:09,040 --> 00:53:12,080
Speaker 1: I do wonder like true where like where the mainstream

999
00:53:12,120 --> 00:53:15,279
Speaker 1: media goes from here, there's gonna be like so many

1000
00:53:15,320 --> 00:53:18,719
Speaker 1: Pearl clashing articles where they're like looking at people's response

1001
00:53:18,840 --> 00:53:22,120
Speaker 1: to this and being if they're not there already, like

1002
00:53:22,200 --> 00:53:22,960
Speaker 1: it's gonna be like.

1003
00:53:22,960 --> 00:53:23,680
Speaker 2: How could they are?

1004
00:53:23,840 --> 00:53:26,200
Speaker 4: There's already criticism, They're like, look at it, look at

1005
00:53:26,239 --> 00:53:29,480
Speaker 4: the tolerant left celebrating the death of this person, Like

1006
00:53:29,520 --> 00:53:31,560
Speaker 4: you're there's already I'm already seeing takes like that.

1007
00:53:31,680 --> 00:53:34,280
Speaker 1: Yeah, Well, what I was worried.

1008
00:53:34,320 --> 00:53:37,239
Speaker 12: What I'm more like kind of worried about is like

1009
00:53:38,239 --> 00:53:42,680
Speaker 12: you know, Eric Adams was investigated for corruption, he did

1010
00:53:42,719 --> 00:53:45,520
Speaker 12: all this fucked up shit. Now he's like kind of

1011
00:53:45,880 --> 00:53:48,560
Speaker 12: you know, sucking up to Trump and kissing Trump's ass.

1012
00:53:48,920 --> 00:53:51,960
Speaker 12: Now I'm worried that like Eric Adams is going to

1013
00:53:52,040 --> 00:53:54,960
Speaker 12: take this as an opportunity and try to make it

1014
00:53:55,040 --> 00:53:58,040
Speaker 12: his little nine to eleven where he like brings New

1015
00:53:58,120 --> 00:54:01,000
Speaker 12: York together and like ups the cop even more and

1016
00:54:01,080 --> 00:54:03,920
Speaker 12: shit like that shit hot for everybody, so that he

1017
00:54:03,960 --> 00:54:06,440
Speaker 12: could like try to you know, take the heat off

1018
00:54:06,520 --> 00:54:09,600
Speaker 12: him going to Turkey seven times and getting his girlfriend

1019
00:54:09,640 --> 00:54:11,600
Speaker 12: a job that like is mad money.

1020
00:54:11,800 --> 00:54:16,440
Speaker 4: New York is just sta Bull of America exactly exactly.

1021
00:54:17,320 --> 00:54:19,600
Speaker 12: We ignore Armenia and Jesus side too.

1022
00:54:20,239 --> 00:54:26,439
Speaker 4: Yeah, we love looking away from a genocide. Okay, Yeah,

1023
00:54:26,440 --> 00:54:28,359
Speaker 4: I mean like that it is interesting because like I

1024
00:54:28,400 --> 00:54:31,480
Speaker 4: feel like what potentially could happen to I mean, I

1025
00:54:31,520 --> 00:54:33,400
Speaker 4: don't know, like making that is nine to eleven, I

1026
00:54:33,440 --> 00:54:35,920
Speaker 4: think is kind of difficult because so many regular people

1027
00:54:35,960 --> 00:54:39,440
Speaker 4: were affected by nine to eleven, whereas this one, everybody's

1028
00:54:39,480 --> 00:54:42,439
Speaker 4: like all right, but that's just kind of that's sort

1029
00:54:42,480 --> 00:54:44,759
Speaker 4: of the like the sort of response I think of

1030
00:54:44,800 --> 00:54:47,280
Speaker 4: American people, because I also see people from like Europe

1031
00:54:47,680 --> 00:54:51,319
Speaker 4: asking online they're like, why is everyone celebrating this? And

1032
00:54:51,360 --> 00:54:54,880
Speaker 4: they're like, oh, you don't understand how difficult it is

1033
00:54:54,920 --> 00:54:58,320
Speaker 4: to exist in this country where we have no recourse

1034
00:54:58,520 --> 00:55:01,279
Speaker 4: to get to be treated like people. So these are

1035
00:55:01,280 --> 00:55:03,279
Speaker 4: these moments that pop up that act as these like

1036
00:55:03,320 --> 00:55:06,439
Speaker 4: stress release valves where they're like, well, I I guess

1037
00:55:06,520 --> 00:55:09,000
Speaker 4: that happened, but I do I think, Like, I feel

1038
00:55:09,040 --> 00:55:11,040
Speaker 4: like the other way this could start going is like

1039
00:55:11,080 --> 00:55:13,640
Speaker 4: people start saying that it's like their human right to

1040
00:55:13,719 --> 00:55:16,120
Speaker 4: profit off of suffering and therefore should.

1041
00:55:15,920 --> 00:55:18,080
Speaker 2: Be able to be anonymous. You know what I mean?

1042
00:55:18,120 --> 00:55:21,520
Speaker 4: Because yea, United Healthcare took down their entire leadership page

1043
00:55:22,120 --> 00:55:25,040
Speaker 4: not to like not put again maybe in their minds

1044
00:55:25,080 --> 00:55:27,680
Speaker 4: to make people targets or something like that, and you

1045
00:55:27,719 --> 00:55:30,120
Speaker 4: can and like this was happening at an investor's day

1046
00:55:30,480 --> 00:55:32,040
Speaker 4: that I don't know, Like I can also see some

1047
00:55:32,160 --> 00:55:35,080
Speaker 4: weird version where they're like, if they know who we are,

1048
00:55:35,160 --> 00:55:37,200
Speaker 4: we're in danger, and like we shouldn't.

1049
00:55:37,320 --> 00:55:38,520
Speaker 2: People shouldn't be able to.

1050
00:55:38,520 --> 00:55:41,280
Speaker 4: Know who we are, even though we are the people

1051
00:55:41,360 --> 00:55:44,440
Speaker 4: profiting and are the architects of things like a terrible

1052
00:55:45,200 --> 00:55:48,640
Speaker 4: cruel healthcare system or earth death through climate change.

1053
00:55:49,600 --> 00:55:53,360
Speaker 1: Yeah, they just start the billionaire bunkers process early and

1054
00:55:53,480 --> 00:55:57,040
Speaker 1: just all move to New Zealand colonize New Viland and

1055
00:55:57,080 --> 00:55:58,759
Speaker 1: then they're like, you guys have the rest of the

1056
00:55:58,760 --> 00:55:59,800
Speaker 1: world go fuck yourself.

1057
00:55:59,800 --> 00:56:00,560
Speaker 2: Look good luck.

1058
00:56:00,640 --> 00:56:01,959
Speaker 12: Yeah, but that it's going to be late.

1059
00:56:04,960 --> 00:56:05,399
Speaker 2: All right.

1060
00:56:05,719 --> 00:56:10,120
Speaker 1: That's gonna do it for this week's weekly Zeitgeist. Please

1061
00:56:10,360 --> 00:56:13,520
Speaker 1: like and review the show if you like. The show

1062
00:56:14,680 --> 00:56:18,040
Speaker 1: means the world demiles he he needs your validation.

1063
00:56:18,160 --> 00:56:18,520
Speaker 10: Folks.

1064
00:56:19,120 --> 00:56:22,200
Speaker 1: I hope you're having a great weekend and I will

1065
00:56:22,239 --> 00:57:12,760
Speaker 1: talk to you Monday. Bye.