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Speaker 1: Hello the Internet, and welcome to Season to thirty nine,

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Speaker 1: episode four of Dinies Like. It's a production of I

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Speaker 1: Heart Radio, and this is a podcast where we take

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Speaker 1: a deep dive into America's share consciousness. It is Friday,

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Speaker 1: June third, which of course means that is National Donut Day.

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Speaker 1: Oh I love a donut? Oh man the best? Oh

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Speaker 1: Carl Tart. In the most recent episode of Mad Boost,

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Speaker 1: He's reveal his biggest achilles heel as an athlete. What's

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Speaker 1: your favorite donut? You've got a favorite donut aside from

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Speaker 1: the Duncan sour cream that you put me onto in

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Speaker 1: that faithful East Coast trip. I mean the Duncan sour

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Speaker 1: cream is not the main sour cream. It would be

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Speaker 1: Bill's Donuts or Bob's Donuts. I forget, Like we have

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Speaker 1: a very similar one out here. That's Bills or Bob's

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Speaker 1: in l A. But I think it's Bob's Donuts in Centerville, Ohio.

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Speaker 1: Has the the O G really really dope sour cream

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Speaker 1: don't that's basically just a cake doughnut with like real

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Speaker 1: deeply embedded ingrained frosting goes all the way through. Okay,

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Speaker 1: I like sweetness? How that a doughnut cannot be too

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Speaker 1: sweet for me. Like that's the challenge. Like with me,

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Speaker 1: there can never be too much garlic in the dish

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Speaker 1: for me. There there is a there. It's impossible for

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Speaker 1: you to encounter a doughnut too sweet for your per

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Speaker 1: I want them to get physics involved, to try to

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Speaker 1: cram as much sugar as possible onto and into the

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Speaker 1: doughnut and then you know, put push the laws of

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Speaker 1: physics to fully saturated even more with sweetness. That's just

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Speaker 1: that's you want the scientists who are working on like

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Speaker 1: climate change and cancer back means to be like no,

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Speaker 1: not not not not not not try and make me

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Speaker 1: a doughnut that will turn my mouth inside out with sweet. Yeah.

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Speaker 1: When people say something is too sweet, I I just

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Speaker 1: have that part of my brain. Yeah, like the crispy cream.

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Speaker 1: My favorite crispy cream is the frost it and then

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Speaker 1: glazed or the glazed in them from which just double

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Speaker 1: up daddy, okay, double daddy. Well, my name is Jack

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Speaker 1: O'Brien a K. And this is this is a series

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Speaker 1: of Dictator Mountain dew flavors. The DZAI getting surface from

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Speaker 1: the discord a K. Benito du Sellini a K Robert Dougabi.

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Speaker 1: Those are from Scouting Magoo, a K popa Mountain Duvalier.

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Speaker 1: And then I think the real pinnacle Baha, I'll blast off.

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Speaker 1: That's from bottles and fans look at that. So shout

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Speaker 1: out to you. This is I do think that we're

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Speaker 1: we're heading in that direction where everything gets a mountain

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Speaker 1: dew flavor, you know, and and why not some of

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Speaker 1: the most impactful monsters from history. I'm thrilled to be

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Speaker 1: joined as always by my co host, Mr Miles Grab. Yes,

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Speaker 1: it's Miles Gray a K. I been kissed by rose

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Speaker 1: in Portland. I've been kissed by a rose in Portland. Okay,

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Speaker 1: shout out to me. Shout out to the homie on

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Speaker 1: the street of Portland who pulled up to me and

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Speaker 1: I saw his brother in the street. He said, Miles,

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Speaker 1: what's up? And I'm sorry that I said, do I

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Speaker 1: know you? And You're like, I'm tight gang, and I

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Speaker 1: was like, thank God, I love this town. I'm in

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Speaker 1: Portland for a little bit. Shout out to everybody who's

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Speaker 1: been giving me a little recommendations. Everybody has told me

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Speaker 1: to go to the restaurant em which I will be

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Speaker 1: going to which sounds delicious, but in general, you know,

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Speaker 1: shout out to the Pacific Northwest. I realized, being a

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Speaker 1: desert child, how refreshing it is to look at a

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Speaker 1: whole bunch of trees. M And you've been kissed by

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Speaker 1: some roses while you were there. Because it went to

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Speaker 1: the Rose City. I went to that rose garden. You know.

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Speaker 1: I tried to go to the Japanese Garden, but it

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Speaker 1: was closed, so I couldn't make it before the recording.

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Speaker 1: But you know, that's that's on my list. Well, Miles,

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

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Speaker 1: a very talented actor, producer, and activist. He originated the

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Speaker 1: role of even the Poulter Prize winning and Tony nominator,

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Speaker 1: played Disgraced. That's where I know him from, because I'm Coldy.

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Speaker 1: But of course we also know him as Simon Drake

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Speaker 1: on How to Get Away with Murder. I'm here on

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Speaker 1: the shot from TV shows like The Good Place Chicago.

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Speaker 1: P d ever heard of him. He's also a founding

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Speaker 1: member of the Chicago Inclusion Project, which seeks to provide

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Speaker 1: resources for underrepresented people in the art. It's Bezduble. I'm

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Speaker 1: so happy to be back again. I love doing this podcast. Man,

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Speaker 1: we love having you. Good seeing you man, good seeing

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Speaker 1: you too. Where are you right now? I'm in Los Angeles.

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Speaker 1: But I want to chime in on the thing that

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Speaker 1: like I wish NASA scientists would create more of and

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Speaker 1: I could never have too much of. And for me,

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Speaker 1: that is cilantro flavoring. Oh. I love when something has

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Speaker 1: cilantro in it. I had a kicking curry the other

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Speaker 1: day with cilantro and I was like, more cilantro. They're like,

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Speaker 1: you just ate a mouthful of cilantro, sir, more cilantro.

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Speaker 1: You want, Yeah, you want the molecular gastronomy where like

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Speaker 1: they take you know, like seven thousand pounds of cilantro

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Speaker 1: and then put into like one like tic tac shaped

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Speaker 1: thing and you're like, your mouth may not recover from this.

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Speaker 1: And you're like, please, there's a dish. I'm not sponsored

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Speaker 1: by this restaurant, but there's a restaurant called Chinchin. It's

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Speaker 1: like Chinese food. They have one in Beverly Hills, they

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Speaker 1: have one in Studio City. Yeah, it's like a chain

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Speaker 1: from the Yeah, so so they got the restaurant. So,

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Speaker 1: you know, the other day I was like just hungry,

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Speaker 1: ordered something and they have this thing called Anthony's Special

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Speaker 1: Noodles Attention and I was like, well, what's special about Anthony?

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Speaker 1: And like why is the special? But it really just

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Speaker 1: they have they put a cilantro dressing on it. I

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Speaker 1: was like, let me get that these noodles were delicious?

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Speaker 1: Oh man, so and it had adequate cilant I mean,

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Speaker 1: what's what do you what? What's how are their levels

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Speaker 1: to it? I mean like most of time we see

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Speaker 1: it as a garn It got garnished. I go, if

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Speaker 1: you go to like a tacketia, like it's gonna be

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Speaker 1: with onions chopped up, Like how do you want like

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Speaker 1: in your mind in the ideal world, are you just

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Speaker 1: saying handfuls of cilantro on top of stuff that doesn't

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Speaker 1: that doesn't deter me? Like when you get when you

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Speaker 1: get like a taco off a food truck and there's

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Speaker 1: like almost like a whole like vine of cilantro. I

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Speaker 1: love that I've got the good flavor. But you don't

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Speaker 1: mind the stem, you you know, don't. I don't mind

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Speaker 1: the stem at all. I don't mind the stem, but

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Speaker 1: the stem kind of gives you a little crunch, but

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Speaker 1: the Cilantro noodles, it was like more than just a garnish,

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Speaker 1: Like there was Cilantro like flavor and the noodles, and

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Speaker 1: I like that because you don't really get that flavor

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Speaker 1: with like Asian dishes always. So that was that was

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Speaker 1: pretty great. Anyway. That was just listening to you talk

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Speaker 1: about Cilantro has convinced me that I have the soap thing,

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Speaker 1: you know, the you know, the like some people taste

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Speaker 1: Cilantro and they're like that tastes like like soap water.

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Speaker 1: Like I was gonna say, oh, have you tried the

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Speaker 1: Mountain Dew flavor soap water that's Cilantro based, But I

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Speaker 1: didn't say that because I think they're just like when

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Speaker 1: you look up like Cilantro flavor first article, why does

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Speaker 1: cilantro taste like soap? And they treat it like it's

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Speaker 1: a like it's a preference for those who appreciate it.

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Speaker 1: Cilantro tastes like but I don't think it's appreciation because

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Speaker 1: like when I've never had cilantro and tested, it tasted

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Speaker 1: something that is citrusy, which is what I'm seeing people

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Speaker 1: describe it as. It does not at all tastes like

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Speaker 1: soap to me. But what does taste like toothpaste to

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Speaker 1: me is root beer. And I think that's the thing too,

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Speaker 1: Like root beer to me is just toothpaste. It tastes

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Speaker 1: like crest. WHOA. I think you might be right. I

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Speaker 1: think I think that might just be preference, and you

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Speaker 1: putting that in people's heads might have just infected them

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Speaker 1: and ruined root beer because I'm thinking about the taste

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Speaker 1: of root beer and I'm like, damn, that is the

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Speaker 1: problem with root beer. I do too, but like I

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Speaker 1: never even thought about that ship. It does have like

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Speaker 1: a minty crest flavor to it. Well, they said, if

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Speaker 1: it depends, but likely the shared ingredient is winter green,

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Speaker 1: which is like some like an extra winter beer of root. Yeah.

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Speaker 1: It's just interesting what our brains like attached to because

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Speaker 1: for me, like I take a sip root beer and

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Speaker 1: I'm like, that's when I brush my teeth, Like I

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Speaker 1: brush my teeth with but yeah, it gets it gets

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Speaker 1: you all funked up and you start brushing your teeth

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Speaker 1: with a root beer because you're so confused. Your dentists

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Speaker 1: like cavities based on what are you doing? Like I

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Speaker 1: brush with root beer when it's a similar frothy foam

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Speaker 1: that comes about when you're really getting down on some

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Speaker 1: tooth brushing. And also just what what naturally happens on

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Speaker 1: the type of root Here, I have gone from ever

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Speaker 1: appreciating root beer to ginger beer. I like a ginger yeah,

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Speaker 1: I like that. I don't drink I like ginger backer

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Speaker 1: as my I like the bite. And you can't make

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Speaker 1: it spicy enough. You can't. You can't do it. Okay,

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Speaker 1: you can't give it to me. Tell me the spicy

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Speaker 1: be I mean, I feel like in order of like

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Speaker 1: spice factor, I feel like Reads is pretty good. I

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Speaker 1: think Reads is the one that has the like version

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Speaker 1: that is pretty commonly available, that says spicy on it.

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Speaker 1: And that's the one that I've funk with the most.

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Speaker 1: Cock and bull also has good has bite to it too.

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Speaker 1: I haven't. Oh no, Reads is not the one Reads

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Speaker 1: Reads extra that that's the one that I I have.

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Speaker 1: It introduced me to ginger beer and has since I've Okay,

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Speaker 1: so where do you want ginger beer? O? G what

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Speaker 1: do you what do you? I gotta I gotta, I

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Speaker 1: gotta find it. You gotta let me do some research here,

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Speaker 1: Like what I do is I take a whole ginger,

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Speaker 1: I stake it in a two leader or sprite for

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Speaker 1: seven days. Jack says that there couldn't be that. He

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Speaker 1: wants NASA scientists to inject all the ginger. Now, I

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Speaker 1: have had like concentrated ginger juice or like whatever you

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Speaker 1: get in the smoothie bar, and that is painful and

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Speaker 1: mean that they even served that because they know people

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Speaker 1: are coming and being like, oh, I've I've enjoyed ginger

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Speaker 1: on sushi. I've enjoyed ginger beer, and that just tastes

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Speaker 1: like concentrated pain. So maybe I just haven't had the

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Speaker 1: right ginger beer that like like puts me in my place.

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Speaker 1: I think the thing I'm thinking of this main root

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Speaker 1: ginger beer, which has the that's available at like you know,

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Speaker 1: Ralpes and whole foods and has a spicy variety. You

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Speaker 1: might say, yes, my favorite word, today's bonus word. Yes, yes,

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Speaker 1: all right, Basil, we're gonna get to know you a

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Speaker 1: little bit better in a moment. First, we're gonna tell

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Speaker 1: our listeners a couple of the things we're talking about today.

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Speaker 1: We got another article that is scratching his head and

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Speaker 1: wondering why can't Joe Biden catch a break. So we're

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Speaker 1: gonna we're gonna talk about that. We're gonna talk about

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Speaker 1: the like what Amazon has set up at their warehouses.

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Speaker 1: The it's wild like this, this isn't this isn't something

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Speaker 1: they admitted. This was like it's black mirror. It's straight

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Speaker 1: up black mirror. Yeah, I can't wait for this. I'm

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Speaker 1: I'm very curious about this. I can't wait to put

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Speaker 1: my application. Unfortunately, you saying you can't wait for this

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Speaker 1: is actually taking me off task of trying to intro

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Speaker 1: these stories for later, and that is time off task

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Speaker 1: and that will actually get me fired. No longer interrupt.

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Speaker 1: You are a top offender for your t ot for

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Speaker 1: your top time off task over here. We'll have a

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Speaker 1: chat later. We'll have a chat. We'll get to all

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Speaker 1: that ship. But first base, I we like task our guest,

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Speaker 1: what is something from your search history? My latest search

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Speaker 1: issue was from this morning. I woke up and searched

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Speaker 1: how many snakes are there in the world, because because

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Speaker 1: the actually a given time. But this is actually why

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Speaker 1: I'm having trouble with it, because when you google it,

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Speaker 1: they just keep all the answers tell you how many

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Speaker 1: species but I want to know how many individual snakes

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Speaker 1: are there in the world because I want to know,

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Speaker 1: are there more snakes than humans? Yeah? This is that

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Speaker 1: just reminded me that I had just I had promised

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Speaker 1: to google how many fish are in the world for

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Speaker 1: my kid and I never did it, But that was

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Speaker 1: the that was there because of that question. Is like, wait,

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Speaker 1: they're more fish than people. And the reason why I

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Speaker 1: wanted to google it is because I'm terrified of snakes.

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Speaker 1: And I don't know why I woke up, but I

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Speaker 1: woke up with this like feeling that like there are

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Speaker 1: more of them than us. So that's the little insight

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Speaker 1: to my neuroses. I mean, yeah, it is really hard

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Speaker 1: even if you search like snake population, you know, like snakes, snakes,

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Speaker 1: global population. They say Brazil has the most species. If

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Speaker 1: anyone's wondering about fish, it's three point five trillion. They

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Speaker 1: have us outnumbered by a lot. They ever used to

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Speaker 1: learn guns. The thing that scares me is like I go,

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Speaker 1: I don't know years at a time without seeing a snake,

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Speaker 1: So like, if there are more of them than us,

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Speaker 1: then like are they all in one fucking place. That's terrifying.

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Speaker 1: I don't want to go near there, right, So you're

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Speaker 1: afraid that you're gonna pull up to like inadvertently like

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Speaker 1: stumble Upon like snake freak nick, and you're gonna be

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Speaker 1: like what I did exactly. I thought it was sparsely populated,

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Speaker 1: and you like, my brother lived in Australia, my my

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Speaker 1: grandparents live in India, Like these are places where there

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Speaker 1: are snakes. So like when I am on those twenty

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Speaker 1: three hour flights to visit my family, believe me, like

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Speaker 1: twelve of those hours, or like, am I going to

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Speaker 1: see a snake? What am I gonna do if I

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Speaker 1: see a snake? Like? How do I run from it? Do? I?

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Speaker 1: You know what I mean? Right? So you know how

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Speaker 1: like people give those uh statistics where they're like, yeah,

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Speaker 1: you know, you're way more likely to die from being

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Speaker 1: crushed by a cow than you are to die from

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Speaker 1: being like eaten by a shark, like shark shark hacks

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Speaker 1: are rare to the point of like being statistically an

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Speaker 1: impossibility almost. So I was looking for that same statistic

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Speaker 1: on snakes, and what I found instead was that globally,

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Speaker 1: up to one thirty eight thousand people die due to

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Speaker 1: snake bites every year with nearly two point seven million

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Speaker 1: people suffering serious injuries. Oh my god, that's a lot

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Speaker 1: of You're terrifying me. Like to man, you are correct.

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Speaker 1: Your your snake phobia is correct. Snakes are terrifying. There's

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Speaker 1: something like both spiders and snakes are like I I

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Speaker 1: I know I came into this world with afraid of

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Speaker 1: those two things like that. I did not have to

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Speaker 1: learn that ship Like right, well, I guess that, Yeah,

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Speaker 1: I mean I would. I'm ambivalent with snakes. I would

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Speaker 1: say spiders A funk with spiders like you like yo, yeah, yeah,

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Speaker 1: I like spiders. I think like so, like you're walking

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Speaker 1: out there, you see a spider like in the corner,

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Speaker 1: do you kill it? You just chill with it? You

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Speaker 1: have I have like a whole I have like a

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Speaker 1: whole thing up like analysis I go through of do

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Speaker 1: I does this spider reserve to live or die? If

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Speaker 1: it's tiny doing its thing, I'm like, you're not gonna

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Speaker 1: bite me. You're not one of those spiders I gotta

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Speaker 1: worry about. So I'm like, do your thing, man, just

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Speaker 1: just chill. If they're big and they look like nasty.

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Speaker 1: Sometimes I look on the phone just to kind of

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Speaker 1: identify and make sure I'm not, you know, taking a

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Speaker 1: needless spider life. And if it is something that bites,

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Speaker 1: I smushed the ship out of it, and I leave

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Speaker 1: it there as an example for the other motherfucker's You know,

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Speaker 1: if this is your homie, you do not want to

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Speaker 1: fucking be here. But if you're a chill spider, I

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Speaker 1: got your back. I might even throw you an occasional fly.

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Speaker 1: You put a little little torches next to the one

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Speaker 1: that you smashed, just so there it. Oh yeah, I

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Speaker 1: use a microscope and I do all kinds of very

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Speaker 1: interesting art with the corpse. So yeah, Like I I

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Speaker 1: think I have a penchant for being able to spot snakes.

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Speaker 1: I've been on a hike with people before in rattlesnake

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Speaker 1: country and I was like just spotting them, like just

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Speaker 1: you know, they can with flash pretty good. And I

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Speaker 1: was The people were like, how did you see that?

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Speaker 1: You have an evolutionary trait that would keep you alive?

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Speaker 1: Whereas me, like the times I've been on like a

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Speaker 1: nature walk or with with somebody who's nature saying like,

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Speaker 1: oh you check out that snake over them, Like bro,

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Speaker 1: I was just over there and I didn't even realize

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Speaker 1: that ship. So okay, I mean there's there's advantages to

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Speaker 1: this Jack mhmm maybe or maybe I'm just gonna get Yeah.

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Speaker 1: Just don't don't go to the subreddit. What could go wrong? Uh?

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Speaker 1: And the snake content because it's always bad? Oh man?

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Speaker 1: What what is something you think is overrated? Beza overrated?

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Speaker 1: You ready? Yeah? Celebrities And I don't mean and I

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Speaker 1: don't mean celebrities like, oh, I'm a fan of someone.

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Speaker 1: They inspire me. I know their story, their journey is inspiring.

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Speaker 1: I love that. If someone says like, oh, you know, um,

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Speaker 1: I'm a fan of Denzel Washington because I followed his

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Speaker 1: whole career or something like that, that's awesome. When I

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Speaker 1: meet celebrities, I mean, what's happening is like, you know,

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Speaker 1: last week I read that Gwyneth Paltrow, Kim Kardashian, and

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Speaker 1: Snoop Dogg all endorsed Rick Caruso. And I'm seeing, like

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Speaker 1: that isn't overrated? Why does that matter? Like? Why does

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Speaker 1: why does If Snoop Dogg endorsed a new young rapper,

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Speaker 1: I would like to listen to that. If Kim Kardashian

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Speaker 1: is endorsing a reality show, or a skincare brand. Cool,

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Speaker 1: But like when they're endorsing politicians, I'm like, why do

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Speaker 1: we care? That's an overrated thing that matters. The Amber

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Speaker 1: heard Johnny Depp trial is overrated for us to care about.

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Speaker 1: It's all like to me, the sort of influence that

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Speaker 1: celebrities have on things that are outside of the thing

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Speaker 1: that made them celebrities is overrated. Yeah, well yeah, I

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Speaker 1: think we live in a world where we just say, well,

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Speaker 1: if this person is successful, they must have their ship together.

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Speaker 1: And therefore, if they like this guy who is you know,

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Speaker 1: his whole career is about like displacing people in the

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Speaker 1: u in in the city of l A to make

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Speaker 1: malls and ship you must they must have something, right.

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Speaker 1: I mean with the Amber heard Johnny Depp thing, I

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Speaker 1: think that's dangerous because it's so that verdict has basically

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Speaker 1: it's given a lot of people on the right this

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Speaker 1: idea that they're like you see in the Me Too

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Speaker 1: movement was completely blown out of proportion, and it's like,

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Speaker 1: that's not what this is about. And also, but that's

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Speaker 1: why it's so fucked up, because we're look, people are

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Speaker 1: looking at that ship so uncritically and they're like, Wow,

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Speaker 1: I don't wonder what happened there when it's like this

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Speaker 1: is it. This has created a very a much more

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Speaker 1: hostile environment for anyone who's been through any kind of

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Speaker 1: domestic violence, because this is sort of the precedent that

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Speaker 1: we're beginning to see is like, oh yeah, don't even

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Speaker 1: don't even name the person who may have abused to

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Speaker 1: and then all of this ship can go down. It

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Speaker 1: harkens me back to a Chappell's skit when I was

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Speaker 1: in college where jaw Rule had a political opinion and

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Speaker 1: Shepell was like, I don't given what jaw Rule thinks

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Speaker 1: about like my vote, like just us, you know, And

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Speaker 1: I don't want to it's dangerous because I don't want

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Speaker 1: to make it sound like I'm doing like the shut

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Speaker 1: up and dribble thing, right. I'm not saying like Lebron

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Speaker 1: James can't have an opinion, he should shut up and dribble.

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Speaker 1: That's about human rights. Lebron's a human It makes sense.

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Speaker 1: But like the celebrity endorsements matter a lot, and it's

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Speaker 1: a it's a fine line because I'm not an advocate

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Speaker 1: of the shut up and dribble stance, but I I

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Speaker 1: don't know why I have that line, but I do.

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Speaker 1: I just wish he hadn't chosen jar rule because jar

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Speaker 1: rule is where I get most of my political opinions

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Speaker 1: from and all my ideas on you know what, like

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Speaker 1: parties to go to and stuff with that. And I

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Speaker 1: feel like he he doesn't miss a lot. So you

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Speaker 1: missed out on the whole g unit era because you

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Speaker 1: were so mad about that. Yeah, you're like, he doesn't

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Speaker 1: respect Ja rule. So I got to go to a

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Speaker 1: pretty cool already with some pretty great cheese sandwiches. So

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Speaker 1: who's whose last? Yeah, for people who aren't in Los Angeles,

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Speaker 1: Rick Caruso is you know, a pro police, anti choice

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Speaker 1: Republican who is running as a Democrat for mayor of

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Speaker 1: Los Angeles. And he's also a billionaire who made his

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Speaker 1: money building malls and displacing people. I have a feeling,

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Speaker 1: you know, there's that there's all for all the people

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Speaker 1: listening at home to This is the primary and if

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Speaker 1: he gets fifty point one percent of the primary vote,

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Speaker 1: there will be no election. He will automatically win. And

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Speaker 1: uh that is maybe looking likely or not likely, but possible. Yeah, Well,

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Speaker 1: he he is like outspent his opponents, like you know,

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Speaker 1: I I could wallpaper one of the rooms in my

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Speaker 1: house with all of the mailers and ship that have

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Speaker 1: like come into my you know, mail looks for for

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Speaker 1: the Rick Crusoe campaign and just like shipping on anybody

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Speaker 1: who happens to be running against him. It's like he

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Speaker 1: bought my neighborhood. When I walk in the morning, like

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Speaker 1: I have a little daily well, you know, he may

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Speaker 1: have actually bought your neighborhood. It's like it's like there

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Speaker 1: there are signs for this man on every long and

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Speaker 1: I'm like, really, like, how is he tricked you? All?

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

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Speaker 1: We'll talk about something that's under age, and we're back

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Speaker 1: and Basil, we also like to ask our guests, what

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Speaker 1: is something you think is underrated? Okay, I'm very excited

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Speaker 1: for this. I don't even know the word for this,

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Speaker 1: but I'm going to use the word like kitchen a

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Speaker 1: coutra mons. Okay. So I have lived alone for fifteen years,

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Speaker 1: you know, the majority of that time single, and for me,

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Speaker 1: I had like you know, I have plates, I have

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Speaker 1: smaller plates. I have bowls. I have slightly larger bowls

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Speaker 1: for like cereal, and then I have like spoons forks

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Speaker 1: and knives and that's it. Oh and then like glasses,

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Speaker 1: like eight ounce glasses for water, like that's it. Recently,

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Speaker 1: my girlfriend moved in with me, okay, and brought with

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Speaker 1: her every style of bull spoon cup, uh, serving plate,

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Speaker 1: this plate, a plate for this, a spoon for that,

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Speaker 1: a little knife for this. And when we were unpacking,

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Speaker 1: I said, what could you possibly need this tiny dish

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Speaker 1: where She's like, oh, that's like what you would put

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Speaker 1: like condiments in. Yeah, And I'm like, okay, well then

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Speaker 1: this bowl is like what you would put like nuts in. Okay, Well,

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Speaker 1: this thing is like when you would put like this

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Speaker 1: is like a serving bowl for like a salad. Well,

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Speaker 1: this is a serving bowl for like a sup Well,

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Speaker 1: this is a serving before I'm telling you there is

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Speaker 1: a there is a thing for everything, and I was

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Speaker 1: I was bashing it and I was making fun of her.

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Speaker 1: But over the last couple of months, can I tell you,

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Speaker 1: like it is amazing, Like there is a She has

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Speaker 1: a small electric whisk to whisk a cappuccino with y yeah,

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Speaker 1: a little are you you sound like you've been living

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Speaker 1: in a van or something. She got this cup with

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Speaker 1: a blade at the bottom. You put ice in it

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Speaker 1: hit a button and it cried. I'll tell you, I've

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Speaker 1: just lived with like plates, bowls, sporks, not like like

423
00:23:31,320 --> 00:23:33,919
Speaker 1: she's got. There's like little spoons that are good for this.

424
00:23:34,160 --> 00:23:36,160
Speaker 1: There's got like I mean, I'm telling you it's amazing.

425
00:23:36,200 --> 00:23:39,760
Speaker 1: So that is underrated. Like if anyone out there is

426
00:23:39,800 --> 00:23:41,440
Speaker 1: living the way I was living, go out and get

427
00:23:41,480 --> 00:23:43,800
Speaker 1: yourself one of these things they call a girlfriend who

428
00:23:43,800 --> 00:23:46,760
Speaker 1: can bring you some kitchen and coou tramas along to

429
00:23:46,840 --> 00:23:49,520
Speaker 1: the house. Are you do you cook a lot? I

430
00:23:49,600 --> 00:23:54,080
Speaker 1: mean I thought I did until she moved in. I

431
00:23:54,240 --> 00:23:57,840
Speaker 1: have like a frying pan. Yeah, I had like a

432
00:23:57,880 --> 00:24:00,200
Speaker 1: crock pod. Was a crock pod chef. I'm a crock

433
00:24:00,240 --> 00:24:03,720
Speaker 1: pod chef. I can make some meals in the crock pot,

434
00:24:03,840 --> 00:24:05,520
Speaker 1: and I'm really good at the fish. I can do

435
00:24:05,560 --> 00:24:10,159
Speaker 1: the fish because I watched master fish, fish spatula. I

436
00:24:10,200 --> 00:24:13,840
Speaker 1: do actually see. Okay, that's interesting. So you have these

437
00:24:13,880 --> 00:24:17,119
Speaker 1: like very narrow moments. You're like, what because as a

438
00:24:17,160 --> 00:24:20,120
Speaker 1: guy was like I got forks, knocks, plates, bowls, cups.

439
00:24:20,359 --> 00:24:24,199
Speaker 1: And that's because that's because I, uh, I learned to

440
00:24:24,240 --> 00:24:27,439
Speaker 1: cook by watching Masterclass, like all those chefs on that masterclass,

441
00:24:27,480 --> 00:24:32,600
Speaker 1: and and like Gordon Ramsey was like you must have this. Wow. Okay,

442
00:24:32,640 --> 00:24:36,600
Speaker 1: so Chef Ramsey puts you on to the Yeah. So anyway,

443
00:24:36,640 --> 00:24:38,639
Speaker 1: but no, I mean I thought I could cook, but

444
00:24:39,240 --> 00:24:42,119
Speaker 1: now I know I cannot cook. I'm I'm the inferior

445
00:24:42,119 --> 00:24:45,359
Speaker 1: cook in the household by a magnitude of time. I

446
00:24:45,480 --> 00:24:51,040
Speaker 1: have like the the inability to match, but like keep

447
00:24:51,160 --> 00:24:55,080
Speaker 1: a matching set of bulls together, we just have so

448
00:24:55,200 --> 00:24:59,840
Speaker 1: much mismatched ship. And like and I go to other

449
00:25:00,000 --> 00:25:05,600
Speaker 1: people's kitchens and they have like one set of like

450
00:25:05,760 --> 00:25:09,399
Speaker 1: cooking you know, utensils, and then like a set of

451
00:25:09,440 --> 00:25:12,000
Speaker 1: bowls that I'll match each other, and I'm like, did

452
00:25:12,000 --> 00:25:14,480
Speaker 1: you did you? Guys? Just like win this on the

453
00:25:14,520 --> 00:25:18,640
Speaker 1: prices right like a kitchen set? How How does how

454
00:25:18,720 --> 00:25:22,240
Speaker 1: does one live like this and have everything in its

455
00:25:22,280 --> 00:25:27,359
Speaker 1: place and no extra things from like you know, twelve

456
00:25:27,440 --> 00:25:31,400
Speaker 1: years ago that you haven't used since then, but still

457
00:25:31,480 --> 00:25:35,880
Speaker 1: like kind of stick around. I think, you know, I mean,

458
00:25:36,320 --> 00:25:38,359
Speaker 1: you got kids, have your kids broken stuff? You probably

459
00:25:38,400 --> 00:25:40,239
Speaker 1: to shift what you eat off of when you have

460
00:25:40,240 --> 00:25:43,159
Speaker 1: some kids. I feel like me as a newlywed, my

461
00:25:43,200 --> 00:25:46,119
Speaker 1: ship is looking like what you're talking about. Hmm. I'm like,

462
00:25:47,080 --> 00:25:51,440
Speaker 1: my bowls matched, now, my plates match now? Because what's

463
00:25:51,440 --> 00:25:53,800
Speaker 1: that Zola dot com told me how many plates I'm

464
00:25:53,840 --> 00:25:56,000
Speaker 1: supposed to ask for for being married? Because I don't

465
00:25:56,000 --> 00:25:58,320
Speaker 1: know what the fund is supposed to do. But yeah,

466
00:25:58,320 --> 00:26:02,199
Speaker 1: I definitely enjoy that consistency. But I'm also seeing, like

467
00:26:02,440 --> 00:26:06,280
Speaker 1: I break ship too, and you know, six cups become five,

468
00:26:06,520 --> 00:26:09,080
Speaker 1: become four, and then you augment that with two that

469
00:26:09,119 --> 00:26:14,000
Speaker 1: don't match, and then total chaos. It's it's a it's madness.

470
00:26:14,200 --> 00:26:18,600
Speaker 1: It's total chaos, total chaos down there, baby, Come on,

471
00:26:18,720 --> 00:26:21,760
Speaker 1: this is total chaos. Hold on, this is creating barrel

472
00:26:22,160 --> 00:26:28,760
Speaker 1: and this one CB two you don't match. All right,

473
00:26:28,920 --> 00:26:33,439
Speaker 1: let's talk about why doesn't anyone like Biden? It's a

474
00:26:33,600 --> 00:26:40,200
Speaker 1: it's a whole like, yeah, I think all of these

475
00:26:40,200 --> 00:26:44,760
Speaker 1: pieces as the same thing over and over. What can

476
00:26:44,920 --> 00:26:49,320
Speaker 1: what can Joe possibly do to get people to like him?

477
00:26:49,520 --> 00:26:53,360
Speaker 1: Have bts visit the White House? What needs to harry

478
00:26:53,480 --> 00:26:56,680
Speaker 1: styles we can get him? Well? That help tell us?

479
00:26:57,200 --> 00:26:59,359
Speaker 1: And so this article in the newer Polist referencing like

480
00:26:59,400 --> 00:27:00,720
Speaker 1: these two article is that have come out from the

481
00:27:00,760 --> 00:27:03,560
Speaker 1: Washington Post and NBC that are just like kind of

482
00:27:03,560 --> 00:27:05,880
Speaker 1: talking about the tension that exists in the White House

483
00:27:05,880 --> 00:27:09,439
Speaker 1: where Joe Biden is like really confused, pissed, and like

484
00:27:09,520 --> 00:27:11,840
Speaker 1: no one knows what to do. This one is from

485
00:27:11,840 --> 00:27:14,680
Speaker 1: the NBC article. It says quote Biden is rattled by

486
00:27:14,680 --> 00:27:17,800
Speaker 1: his sinking approval ratings and is looking to regain voters

487
00:27:17,880 --> 00:27:20,800
Speaker 1: confidence that he can provide the sure handed leadership be

488
00:27:20,800 --> 00:27:25,560
Speaker 1: promised during the campaign. People close to the president say rattled.

489
00:27:25,640 --> 00:27:29,440
Speaker 1: He is, He's absolutely rattled. This other one this from

490
00:27:29,440 --> 00:27:32,240
Speaker 1: the Washington Post. The White House launched a new push

491
00:27:32,240 --> 00:27:36,200
Speaker 1: Tuesday to contain the political damage caused by inflation, after

492
00:27:36,280 --> 00:27:40,160
Speaker 1: President Biden complained for weeks the Aids that his administration

493
00:27:40,480 --> 00:27:43,359
Speaker 1: was not doing enough to publicly explain the fastest price

494
00:27:43,440 --> 00:27:48,359
Speaker 1: increases in roughly for decades. It's not what that cat

495
00:27:48,359 --> 00:27:53,440
Speaker 1: be me. What's their explanation. Well, it's it's a it's

496
00:27:53,440 --> 00:27:55,360
Speaker 1: a bit of a double edged sword because on one

497
00:27:55,440 --> 00:27:58,639
Speaker 1: side you can say, well, there's inflation, there's also a

498
00:27:58,680 --> 00:28:02,040
Speaker 1: lot of wacky price hikes going on from companies who

499
00:28:02,040 --> 00:28:04,680
Speaker 1: have not who have just their lesson from the pandemic

500
00:28:04,720 --> 00:28:06,840
Speaker 1: has been like, yeah, man, people gonna pay through the

501
00:28:07,000 --> 00:28:09,960
Speaker 1: teeth for fucking anything. So let's just let's just keep

502
00:28:09,960 --> 00:28:12,919
Speaker 1: turning the heat up. The other part is, you know,

503
00:28:13,200 --> 00:28:16,080
Speaker 1: it's that that at one point, at one point nine

504
00:28:16,119 --> 00:28:19,639
Speaker 1: trillion dollars stimulus. They love pointing at that one, and

505
00:28:19,680 --> 00:28:21,919
Speaker 1: I don't think that's when Janet Yelling was like, I

506
00:28:22,040 --> 00:28:23,840
Speaker 1: was wrong. I should have said that that was gonna

507
00:28:23,840 --> 00:28:28,159
Speaker 1: suck everything up. Yeah, every mainstream media outlet, it feels

508
00:28:28,160 --> 00:28:30,200
Speaker 1: like they've all kind of come together on that one,

509
00:28:30,240 --> 00:28:31,919
Speaker 1: even though we have evidence that a lot of it

510
00:28:32,000 --> 00:28:34,879
Speaker 1: is caused by just corporations being like, what if we

511
00:28:34,960 --> 00:28:39,040
Speaker 1: had record profits though instead of just like a lot

512
00:28:39,080 --> 00:28:42,040
Speaker 1: of profits, what if we have like the best profits ever?

513
00:28:42,720 --> 00:28:46,480
Speaker 1: Uh during a pandemic when people said, is there less

514
00:28:46,480 --> 00:28:48,719
Speaker 1: gas in the ground? No, no, no, that we got

515
00:28:48,760 --> 00:28:50,560
Speaker 1: plenty of gas. Just that you know, there's there's a

516
00:28:50,600 --> 00:28:52,480
Speaker 1: warrant ship and I can use all these explanations to

517
00:28:52,560 --> 00:28:54,840
Speaker 1: just get get these ships to eight dollars a gallon.

518
00:28:55,160 --> 00:28:57,560
Speaker 1: I forget who it was, one of those you know,

519
00:28:57,560 --> 00:29:00,760
Speaker 1: one of those far right senator people. I think it's

520
00:29:00,800 --> 00:29:03,440
Speaker 1: Madison Cawthorne or something like that, had posted on Twitter

521
00:29:03,800 --> 00:29:08,040
Speaker 1: on Twitter that they had posted a sign of a

522
00:29:08,160 --> 00:29:13,200
Speaker 1: gas station in France, and it was like, see how

523
00:29:13,280 --> 00:29:16,560
Speaker 1: cheap gases And first there was the euro dollar equational

524
00:29:16,560 --> 00:29:18,520
Speaker 1: they didn't make, but also that gas there is by

525
00:29:18,520 --> 00:29:22,920
Speaker 1: the leader, and so when someone did the math, they

526
00:29:22,920 --> 00:29:25,800
Speaker 1: were like, actually, equivalent would be like seven dollars and

527
00:29:25,840 --> 00:29:28,360
Speaker 1: fifty cents, And so it was like it was like

528
00:29:28,440 --> 00:29:32,440
Speaker 1: their way of you know, shipping on Biden's gas prices.

529
00:29:32,960 --> 00:29:36,280
Speaker 1: But it was like, no, it's a global thing. My

530
00:29:36,280 --> 00:29:39,760
Speaker 1: my my friends. Don't look at Exxon Mobile or Shell,

531
00:29:39,920 --> 00:29:42,600
Speaker 1: don't don't ask them what's happening. It's it's easier for

532
00:29:42,640 --> 00:29:45,640
Speaker 1: the right wing, like it's Joe Biden rather than our donors.

533
00:29:46,000 --> 00:29:49,760
Speaker 1: It's smoking easy, like they say. And this whole article

534
00:29:49,800 --> 00:29:52,280
Speaker 1: goes on like what's the secret to turning this around?

535
00:29:52,320 --> 00:29:54,120
Speaker 1: Like they to go on to talk about is it

536
00:29:54,160 --> 00:29:59,080
Speaker 1: the inflation, is it the COVID? Is it overpromising and underselling?

537
00:29:59,400 --> 00:30:03,240
Speaker 1: You know? And they say underselling, underselling his own accomplishments.

538
00:30:03,600 --> 00:30:06,520
Speaker 1: And it constantly references like how even if Biden is like,

539
00:30:06,680 --> 00:30:10,000
Speaker 1: you know, confirming judges at a record pace and unemployment

540
00:30:10,320 --> 00:30:12,680
Speaker 1: numbers are low, and the and the author of the

541
00:30:12,680 --> 00:30:16,600
Speaker 1: piece realizes too, it makes no difference to most voters,

542
00:30:16,640 --> 00:30:19,720
Speaker 1: because it's all about what they're feeling, what they're experiencing

543
00:30:19,880 --> 00:30:21,960
Speaker 1: living in the United States, and right now it feels

544
00:30:21,960 --> 00:30:24,560
Speaker 1: like utter chaos and nothing is being done about anything,

545
00:30:24,600 --> 00:30:27,720
Speaker 1: and everything costs too much more than someone being like well,

546
00:30:27,760 --> 00:30:30,120
Speaker 1: I mean, even Mitch McConnell helped confirm some judges like

547
00:30:30,160 --> 00:30:32,360
Speaker 1: nobody gives a ship up, Like people really don't give

548
00:30:32,360 --> 00:30:34,640
Speaker 1: a shit about that, so let that go. I think

549
00:30:35,160 --> 00:30:37,240
Speaker 1: what would have been better if this article just kind

550
00:30:37,280 --> 00:30:39,600
Speaker 1: of says, yeah, Joe Biden can't get out of this

551
00:30:39,640 --> 00:30:42,560
Speaker 1: hole because he is what we call a president during

552
00:30:42,680 --> 00:30:46,040
Speaker 1: late stage capitalism, you know, like it's for since the

553
00:30:46,080 --> 00:30:49,720
Speaker 1: twenty one century, like every president has been basically underwater

554
00:30:49,760 --> 00:30:52,400
Speaker 1: except for a few specific moments, whether that's like you know,

555
00:30:52,720 --> 00:30:56,320
Speaker 1: Bush being like Iraq war is good or Obama's first

556
00:30:56,360 --> 00:30:59,440
Speaker 1: a few months in office. Other than that, most presidents

557
00:30:59,720 --> 00:31:02,400
Speaker 1: are not you know, they don't pull well. And I

558
00:31:02,440 --> 00:31:05,800
Speaker 1: think because for decades, inequality has been growing but has

559
00:31:05,800 --> 00:31:07,840
Speaker 1: been sort of this silent issue until like maybe the

560
00:31:07,880 --> 00:31:10,840
Speaker 1: last ten years. And like our ethos as a people

561
00:31:10,840 --> 00:31:13,920
Speaker 1: in America is to just never admit we're hurting, that

562
00:31:14,000 --> 00:31:16,440
Speaker 1: we've just the problem gets worse and worse and worse.

563
00:31:16,600 --> 00:31:19,959
Speaker 1: It's it's just unbearable now. And Biden finds himself at

564
00:31:19,960 --> 00:31:22,560
Speaker 1: a point where nothing he says will actually change anything,

565
00:31:22,560 --> 00:31:25,320
Speaker 1: because we are beyond the point of like empty gestures

566
00:31:25,360 --> 00:31:29,720
Speaker 1: and like platitudes soothing people's like you know, fears around

567
00:31:29,720 --> 00:31:33,080
Speaker 1: the future. Like people need action. That's really the only thing.

568
00:31:33,520 --> 00:31:36,880
Speaker 1: That's all he needs to do. And the only like

569
00:31:37,200 --> 00:31:40,480
Speaker 1: you know, policies where people are giving money and people

570
00:31:40,480 --> 00:31:45,200
Speaker 1: are giving direct health like the you know, the US

571
00:31:45,960 --> 00:31:48,680
Speaker 1: immune system as I've called it, like the way the

572
00:31:48,760 --> 00:31:53,800
Speaker 1: US protects itself is so allergic to anything like that.

573
00:31:54,000 --> 00:31:58,160
Speaker 1: And the fact that like now there is a confirmed

574
00:31:58,280 --> 00:32:03,520
Speaker 1: national narrative that giving people money during a national global

575
00:32:03,560 --> 00:32:09,160
Speaker 1: pandemic is like causing all of our problems is just yeah,

576
00:32:09,200 --> 00:32:11,200
Speaker 1: like that's what he needs to do more ship like that.

577
00:32:11,360 --> 00:32:13,960
Speaker 1: But there's no way he's going to get that message

578
00:32:14,000 --> 00:32:19,200
Speaker 1: because the media is just so trained and so like

579
00:32:19,280 --> 00:32:22,240
Speaker 1: down to a cellular level up at like the level

580
00:32:22,320 --> 00:32:25,920
Speaker 1: of the super ego of like this entire like you know,

581
00:32:26,120 --> 00:32:32,400
Speaker 1: political civilizational body, like it is all about preserving like

582
00:32:32,480 --> 00:32:37,240
Speaker 1: hyper capitalism and hyper capitalism protecting it. So this well,

583
00:32:37,280 --> 00:32:41,680
Speaker 1: this article even mentions right like a big thing when

584
00:32:41,720 --> 00:32:43,600
Speaker 1: there was like we had a guest awhile back who

585
00:32:43,680 --> 00:32:46,520
Speaker 1: was like, oh, well, what could Joe Biden have done differently?

586
00:32:46,600 --> 00:32:48,080
Speaker 1: One of the things to talk about is the child

587
00:32:48,120 --> 00:32:52,360
Speaker 1: tax credit. How massively important that was for people, And

588
00:32:52,400 --> 00:32:56,360
Speaker 1: in this article, the way they talk about it completely

589
00:32:56,480 --> 00:32:59,720
Speaker 1: undercuts like how a human being would experience this like

590
00:32:59,760 --> 00:33:03,680
Speaker 1: just and you know, they said, for all its inflationary impact,

591
00:33:03,720 --> 00:33:06,160
Speaker 1: the initial one point nine trillion dollars to stimulus has

592
00:33:06,200 --> 00:33:08,760
Speaker 1: given kept the unemployment rate well under four percent, and

593
00:33:08,760 --> 00:33:12,400
Speaker 1: it's now expired provision. Expanding the childcare tax credit cut

594
00:33:12,400 --> 00:33:17,520
Speaker 1: the monthly child poverty rate by yeah, now expired provision.

595
00:33:18,320 --> 00:33:21,160
Speaker 1: So you can probably say that the child poverty rate

596
00:33:21,240 --> 00:33:23,920
Speaker 1: has increased because it's just gone. It just swung right

597
00:33:23,920 --> 00:33:29,160
Speaker 1: back to being you know, gone up. But that's it's

598
00:33:29,160 --> 00:33:32,760
Speaker 1: just easy to be like now expired. That's really fucked up.

599
00:33:32,880 --> 00:33:35,720
Speaker 1: That's a lot of people. I've read countless articles and

600
00:33:35,760 --> 00:33:38,960
Speaker 1: interviews of people talking about how that child tax credit

601
00:33:39,040 --> 00:33:41,800
Speaker 1: came couldn't have come at a better time for them

602
00:33:41,840 --> 00:33:44,280
Speaker 1: when they're trying to put food on the table and

603
00:33:44,560 --> 00:33:48,200
Speaker 1: you know, wrestle with like terrible wages or unemployment and

604
00:33:48,240 --> 00:33:51,040
Speaker 1: things like that. So, yeah, there's just a lot of

605
00:33:51,080 --> 00:33:54,560
Speaker 1: this bizarre kind of like I mean, I guess it

606
00:33:54,600 --> 00:33:57,760
Speaker 1: could have been that, but we're just really this. It's

607
00:33:57,880 --> 00:34:00,600
Speaker 1: like so much of the stuff we complain about with

608
00:34:00,680 --> 00:34:03,520
Speaker 1: like the modern reporting of like what America is right now,

609
00:34:03,920 --> 00:34:05,960
Speaker 1: it's like we're just locked in this shitty cycle of

610
00:34:06,040 --> 00:34:08,920
Speaker 1: looking at solutions but letting the ideas die over and

611
00:34:09,000 --> 00:34:12,360
Speaker 1: over and over again. You know, it's like police violence.

612
00:34:12,920 --> 00:34:15,800
Speaker 1: Oh well, activists come out other people who are working

613
00:34:15,800 --> 00:34:18,160
Speaker 1: in the streets with community saying, actually, we need more

614
00:34:18,239 --> 00:34:22,400
Speaker 1: community support, we need less like armed thus and then

615
00:34:22,440 --> 00:34:25,920
Speaker 1: the first question is we're gonna all perish without the police.

616
00:34:26,280 --> 00:34:29,000
Speaker 1: It's not even experimenting with that. It's just saying, if

617
00:34:29,040 --> 00:34:31,839
Speaker 1: we don't, if we don't keep the status quo, we're

618
00:34:31,840 --> 00:34:36,400
Speaker 1: all fucked. Yet we're seeing in real time how fucked

619
00:34:36,520 --> 00:34:39,840
Speaker 1: up the status quo is. Yeah, and yeah, we we

620
00:34:40,760 --> 00:34:43,400
Speaker 1: There's this weird thing that's happening is that we're blaming

621
00:34:43,920 --> 00:34:46,319
Speaker 1: people getting a child TASH credit, which is people under

622
00:34:46,320 --> 00:34:50,880
Speaker 1: a certain income threshold getting like twelve hundred dollars or something.

623
00:34:51,280 --> 00:34:54,840
Speaker 1: When I we recently read we know now that more

624
00:34:54,880 --> 00:34:57,880
Speaker 1: billionaires were created during the pandemic than any any point

625
00:34:57,920 --> 00:35:01,400
Speaker 1: in history. Every thirty hour. A billionaire in America was

626
00:35:01,440 --> 00:35:04,839
Speaker 1: created every thirty hours during the pandemic. I mean, that's

627
00:35:05,560 --> 00:35:08,200
Speaker 1: that's insane. So we need to be focused on the

628
00:35:08,239 --> 00:35:10,880
Speaker 1: on the on the on different things. We're always focused

629
00:35:10,920 --> 00:35:13,840
Speaker 1: on down below and never focused on like up above,

630
00:35:14,520 --> 00:35:17,400
Speaker 1: and it's it's really interesting. My my dad is an

631
00:35:17,480 --> 00:35:21,160
Speaker 1: architect and he always said he's like I spent so

632
00:35:21,239 --> 00:35:23,680
Speaker 1: much time building beautiful ceilings, and no one ever looks

633
00:35:23,719 --> 00:35:26,839
Speaker 1: up when they enter my buildings. And that's like a

634
00:35:26,880 --> 00:35:28,480
Speaker 1: metaphor for life right now, is like we need to

635
00:35:28,600 --> 00:35:35,120
Speaker 1: look up. We're so focused on on yeah, yeah, the yeah.

636
00:35:35,400 --> 00:35:38,880
Speaker 1: I I think the police, like we we should understand

637
00:35:39,160 --> 00:35:42,600
Speaker 1: the wave of crime stories that are that were all

638
00:35:42,640 --> 00:35:46,279
Speaker 1: about shoplifting and how shoplifting is out of control, that

639
00:35:46,440 --> 00:35:50,120
Speaker 1: like weren't true. We're not actually a problem other than

640
00:35:50,160 --> 00:35:53,719
Speaker 1: like you know, the standard problem of caused by inequality

641
00:35:53,719 --> 00:36:00,400
Speaker 1: and poverty. But that is the American the US immune

642
00:36:00,400 --> 00:36:04,560
Speaker 1: system responding to the push for like more progressive police

643
00:36:04,560 --> 00:36:09,560
Speaker 1: policies and all of the inflation stories and the stories

644
00:36:09,600 --> 00:36:12,960
Speaker 1: about you know, how inflation is out of control. And

645
00:36:13,360 --> 00:36:18,000
Speaker 1: the explanation that has just been very very clearly like

646
00:36:18,040 --> 00:36:22,200
Speaker 1: settled on by the mainstream media. That's the immune system

647
00:36:22,239 --> 00:36:25,960
Speaker 1: responding to the money that the government gave people. A

648
00:36:26,000 --> 00:36:27,799
Speaker 1: couple of weeks ago, we were driving home. We were

649
00:36:27,840 --> 00:36:30,759
Speaker 1: passing it pretty busy intersection in the valley and there

650
00:36:30,800 --> 00:36:36,240
Speaker 1: were I don't know, twelve or thirteen cop cars checkpoint created,

651
00:36:36,320 --> 00:36:39,600
Speaker 1: including a big patty wagon, and there was the whole

652
00:36:39,680 --> 00:36:42,160
Speaker 1: thing set up, and when we finally the traffic was

653
00:36:42,160 --> 00:36:44,239
Speaker 1: stalled for a while. When we finally got to the front,

654
00:36:44,320 --> 00:36:48,280
Speaker 1: the cop was like, we're just checking registrations on vehicles

655
00:36:49,080 --> 00:36:51,920
Speaker 1: and I was like, there are like thirty six of

656
00:36:52,000 --> 00:36:56,600
Speaker 1: you here at this intersection in multiple cards, stopping traffic

657
00:36:56,640 --> 00:36:58,840
Speaker 1: to just get people, just to get you on to

658
00:36:59,360 --> 00:37:06,319
Speaker 1: expire that even it was the checking a checkpoint, and

659
00:37:06,360 --> 00:37:09,200
Speaker 1: I was just like that even legal, Like they give

660
00:37:09,200 --> 00:37:12,560
Speaker 1: the auto equivalent of like stopping frisk though, right, Like

661
00:37:12,600 --> 00:37:14,800
Speaker 1: that's yeah, just trying to shake some change out of

662
00:37:14,800 --> 00:37:18,000
Speaker 1: people's pockets. Basically, you know, that's exactly what it is.

663
00:37:18,040 --> 00:37:20,480
Speaker 1: It's not it's not public safety. And then this idea

664
00:37:20,560 --> 00:37:22,200
Speaker 1: that like, oh, well they keep us safe, us like well,

665
00:37:22,200 --> 00:37:24,480
Speaker 1: there's thirty six people here making I don't know how

666
00:37:24,600 --> 00:37:26,920
Speaker 1: much a day. Some someone do the math on how

667
00:37:27,000 --> 00:37:30,480
Speaker 1: much taxpayer salary that was happening during that time period,

668
00:37:30,560 --> 00:37:33,960
Speaker 1: to just like, is it even worth the money they're

669
00:37:33,960 --> 00:37:36,680
Speaker 1: gonna get out of people? It's just it's it's brutal, No,

670
00:37:36,840 --> 00:37:39,560
Speaker 1: because what the whole the way this whole system operates.

671
00:37:39,560 --> 00:37:42,319
Speaker 1: It's like that m Night Shamalan movie The Village, where

672
00:37:42,600 --> 00:37:44,600
Speaker 1: in America, we all live in the village and we're

673
00:37:44,600 --> 00:37:47,880
Speaker 1: trusting these mother ful to be like oh no, oh no,

674
00:37:47,880 --> 00:37:52,400
Speaker 1: no no. Outside the village is so fucking spooky. You

675
00:37:52,400 --> 00:37:55,959
Speaker 1: don't want to learn anything about except what we got

676
00:37:56,080 --> 00:37:58,759
Speaker 1: here because this ship the truth. And a lot of

677
00:37:58,800 --> 00:38:00,440
Speaker 1: people are like, man, I don't know, I'm pretty sure

678
00:38:00,440 --> 00:38:04,279
Speaker 1: I saw a plane fly above. They're like no, no, no, no, no, no, no,

679
00:38:04,480 --> 00:38:07,920
Speaker 1: you didn't. That's bullshit. Because we have to keep reinforcing

680
00:38:07,960 --> 00:38:10,839
Speaker 1: this idea that the status quo is the all, the be, all,

681
00:38:11,000 --> 00:38:13,040
Speaker 1: end all, and if we deviate from that, it will

682
00:38:13,160 --> 00:38:15,960
Speaker 1: only end with our demise. Right, So if the police

683
00:38:15,960 --> 00:38:18,239
Speaker 1: start feeling like, well, people are starting to think we

684
00:38:18,239 --> 00:38:20,560
Speaker 1: were not really good at what we what we do, Okay,

685
00:38:20,600 --> 00:38:22,920
Speaker 1: we need to see more stories that create the illusion

686
00:38:23,000 --> 00:38:26,799
Speaker 1: of this like massive crime wave, so our existence is justified,

687
00:38:27,000 --> 00:38:28,680
Speaker 1: you know what I mean, Like, let's we need that.

688
00:38:28,760 --> 00:38:31,399
Speaker 1: So now the sentiment is, oh God, thank god, there's

689
00:38:31,400 --> 00:38:33,960
Speaker 1: the police not preventing all these things that I'm seeing

690
00:38:34,000 --> 00:38:37,600
Speaker 1: over and over again, or like even with cap capitalism,

691
00:38:37,680 --> 00:38:42,239
Speaker 1: right people, people right now are experiencing, you know, the

692
00:38:42,320 --> 00:38:46,800
Speaker 1: worst parts of American capitalism, you know fully, and people

693
00:38:46,880 --> 00:38:49,799
Speaker 1: might wring their hands at the mere mention of socialism

694
00:38:49,920 --> 00:38:53,520
Speaker 1: of socialism, but we are actually living in the worst

695
00:38:53,600 --> 00:38:57,600
Speaker 1: test case for capitalism right now. You can't blame socialism

696
00:38:57,680 --> 00:39:01,040
Speaker 1: for jobs leaving the US. You can't blame socialism for

697
00:39:01,080 --> 00:39:03,319
Speaker 1: the levels of child poverty that we're experienced, and you

698
00:39:03,360 --> 00:39:06,240
Speaker 1: can't blame socialism for the lack of protection for workers

699
00:39:06,239 --> 00:39:10,960
Speaker 1: and consumers. That's squarely on on the doorstep of capitalism.

700
00:39:11,000 --> 00:39:13,160
Speaker 1: So how are you going to tell me what happens

701
00:39:13,200 --> 00:39:16,120
Speaker 1: outside of that? If all I'm seeing is you proving

702
00:39:16,239 --> 00:39:19,319
Speaker 1: every fucking time that this ship is not working right,

703
00:39:19,800 --> 00:39:21,680
Speaker 1: you know? And I think that's and that's this like

704
00:39:21,840 --> 00:39:24,840
Speaker 1: threshold that we're like waiting to cross, is to be

705
00:39:24,880 --> 00:39:28,600
Speaker 1: able to like sort of shake off this like weird,

706
00:39:29,040 --> 00:39:32,160
Speaker 1: you know, blind allegiance to like the business class of

707
00:39:32,200 --> 00:39:35,120
Speaker 1: this country and start realizing we gotta do what's right

708
00:39:35,160 --> 00:39:38,200
Speaker 1: for people, Like, look at what happens when you keep

709
00:39:38,400 --> 00:39:41,920
Speaker 1: entrusting our policies in the direction of this country with

710
00:39:42,000 --> 00:39:45,600
Speaker 1: the wealthy. All of it means every single policy is

711
00:39:45,600 --> 00:39:48,480
Speaker 1: going to be aimed at protecting their own interests. And

712
00:39:48,520 --> 00:39:52,080
Speaker 1: that's all we see. So that's why, Joe Biden, it's

713
00:39:52,120 --> 00:39:55,000
Speaker 1: hard for you to get popular because the popular kids

714
00:39:55,000 --> 00:39:57,680
Speaker 1: aren't fucking with capitalism right now, whether they know it

715
00:39:57,800 --> 00:40:01,440
Speaker 1: or not, right, And that's and I think that's the

716
00:40:01,800 --> 00:40:04,600
Speaker 1: and I think this is this whole dysfunction that our

717
00:40:04,880 --> 00:40:08,120
Speaker 1: politicians and you know, like media class it just can't

718
00:40:08,440 --> 00:40:11,560
Speaker 1: begin to voice and just finding every other way to say,

719
00:40:11,560 --> 00:40:15,319
Speaker 1: like maybe it was like the Afghanistan thing. Yeah, yeah,

720
00:40:15,360 --> 00:40:17,279
Speaker 1: that's the other that's the other one that they've like

721
00:40:17,640 --> 00:40:21,480
Speaker 1: uniformly come together and been like he bungled the Afghanistan

722
00:40:21,600 --> 00:40:26,520
Speaker 1: withdrawal and the inflations out of control. Is not like well,

723
00:40:26,800 --> 00:40:32,080
Speaker 1: like we're about to lose the right or or like

724
00:40:32,200 --> 00:40:37,040
Speaker 1: bodily autonomy around abortion. They still can't pass gun laws.

725
00:40:37,680 --> 00:40:42,160
Speaker 1: He's still like dancing back and forth on forgiving student

726
00:40:42,239 --> 00:40:46,560
Speaker 1: debt and that like those never get mentioned, those never

727
00:40:46,640 --> 00:40:49,480
Speaker 1: get mentioned by I think, Yeah, I think the biggest

728
00:40:49,480 --> 00:40:52,040
Speaker 1: thing as because I've been thinking about this a lot,

729
00:40:52,120 --> 00:40:54,040
Speaker 1: because we've I think so many of us have just

730
00:40:54,080 --> 00:40:57,800
Speaker 1: felt so fucking powerless every fucking day is the news

731
00:40:57,840 --> 00:41:00,680
Speaker 1: gets worse. But it's that like in general, we're not

732
00:41:00,760 --> 00:41:06,360
Speaker 1: we need to normalize demanding better yeah, for ourselves from

733
00:41:06,400 --> 00:41:11,120
Speaker 1: like our our fucking our system of governance. That it's

734
00:41:11,160 --> 00:41:13,680
Speaker 1: not like it's the Democrats reports. We need to actually

735
00:41:13,680 --> 00:41:17,879
Speaker 1: start saying this is what we all deserve and if

736
00:41:17,920 --> 00:41:20,279
Speaker 1: you're not, if you're not able to deliver on that,

737
00:41:20,280 --> 00:41:22,800
Speaker 1: that's the only the miss test or you know, rubric

738
00:41:22,880 --> 00:41:24,880
Speaker 1: that we need to judge people on right now is

739
00:41:24,880 --> 00:41:26,600
Speaker 1: that we need to be we need more people to

740
00:41:26,680 --> 00:41:31,960
Speaker 1: understand that we need to deliver more tangible results for

741
00:41:32,080 --> 00:41:37,640
Speaker 1: working people, for poor people. That's just it. And getting so,

742
00:41:38,480 --> 00:41:41,319
Speaker 1: you know, I mean, whatever this is and I think

743
00:41:41,360 --> 00:41:43,920
Speaker 1: this is the ultimate. This is the constant back and

744
00:41:43,960 --> 00:41:46,080
Speaker 1: forth in this country is like we're so caught up

745
00:41:46,080 --> 00:41:49,920
Speaker 1: in this like binary of left and right Republican Democrat politics.

746
00:41:50,160 --> 00:41:54,560
Speaker 1: Well that's like the majority of people are absolutely bearing

747
00:41:54,600 --> 00:41:56,960
Speaker 1: the brunt of of all of it and not realizing like,

748
00:41:57,600 --> 00:42:00,879
Speaker 1: you know, we've got our we've got our sights set

749
00:42:00,880 --> 00:42:02,960
Speaker 1: on the wrong things, like Bezad saying like we need

750
00:42:03,000 --> 00:42:06,160
Speaker 1: to be looking up. M hmmm, and being like, oh,

751
00:42:06,239 --> 00:42:09,080
Speaker 1: y'all got it. There's that quote or as a cartoon

752
00:42:09,200 --> 00:42:11,080
Speaker 1: or something where you have like, you know, the sort

753
00:42:11,120 --> 00:42:16,640
Speaker 1: of evil billionaire class elite above down making the middle

754
00:42:16,680 --> 00:42:20,359
Speaker 1: class be afraid of the lower class like they've they've

755
00:42:20,360 --> 00:42:22,560
Speaker 1: all convinced the middle class like, well, you need to

756
00:42:22,600 --> 00:42:24,720
Speaker 1: be really afraid of this lower class with these immigrants,

757
00:42:24,760 --> 00:42:27,000
Speaker 1: are these people over here or this minority or that

758
00:42:27,080 --> 00:42:31,120
Speaker 1: disenfranchised group, instead of to keep them looking down, to

759
00:42:31,120 --> 00:42:35,960
Speaker 1: to keep everybody distracted from looking up. So yeah, alright,

760
00:42:36,040 --> 00:42:49,239
Speaker 1: let's take a quick break. We'll be right back, and

761
00:42:49,360 --> 00:42:54,840
Speaker 1: we're back. And yeah, so there's some new internal documents

762
00:42:55,160 --> 00:42:58,839
Speaker 1: from the recently unionized Amazon warehouse in New York. They

763
00:42:58,920 --> 00:43:02,960
Speaker 1: kind of show us what the working conditions are like

764
00:43:03,600 --> 00:43:06,319
Speaker 1: at Amazon, and it like, as you said, mild, straight

765
00:43:06,440 --> 00:43:10,239
Speaker 1: up black mirrorge. Yeah, this is so this all kind

766
00:43:10,280 --> 00:43:12,520
Speaker 1: of comes out of a lawsuit regarding like a wrongful

767
00:43:12,640 --> 00:43:15,800
Speaker 1: termination and they're saying like this like working there is

768
00:43:15,840 --> 00:43:21,000
Speaker 1: like their process for even terminating someone is so inhumane

769
00:43:21,040 --> 00:43:24,040
Speaker 1: and ridiculous. They do it by, first of all, like

770
00:43:24,200 --> 00:43:26,840
Speaker 1: they measure everyone's productivity. And we've talked about that, like

771
00:43:26,880 --> 00:43:28,640
Speaker 1: how people are like I gotta pean a bottle, or

772
00:43:28,680 --> 00:43:30,359
Speaker 1: like I can barely go to the bathroom. We've heard

773
00:43:30,360 --> 00:43:33,239
Speaker 1: about how like they're you know, really on top of

774
00:43:33,280 --> 00:43:37,000
Speaker 1: like people's productivity. So we're finding out that they're using

775
00:43:37,080 --> 00:43:38,800
Speaker 1: a lot of the people that work in these warehouse

776
00:43:38,880 --> 00:43:42,400
Speaker 1: have like these radio frequency scanners that report or record

777
00:43:42,480 --> 00:43:45,719
Speaker 1: their t o T or their time off task. And

778
00:43:45,760 --> 00:43:49,440
Speaker 1: the thing is, even thirty minutes of not making Jeff

779
00:43:49,520 --> 00:43:54,480
Speaker 1: Bezos is space mortgage payments can get you fucking terminated

780
00:43:54,560 --> 00:43:59,240
Speaker 1: at an Amazon warehouse. So just like so you're saying,

781
00:43:59,280 --> 00:44:03,480
Speaker 1: they have like a thing on them that like a

782
00:44:03,560 --> 00:44:06,200
Speaker 1: tracting device on them because it helps them also figure

783
00:44:06,280 --> 00:44:08,480
Speaker 1: like because if you're processing stuff, you might be scanning it.

784
00:44:08,520 --> 00:44:10,200
Speaker 1: And please correct me if I'm wrong for people who

785
00:44:10,200 --> 00:44:12,120
Speaker 1: actually work in an Amazon warehouse, but my idea is

786
00:44:12,160 --> 00:44:14,279
Speaker 1: that that they interact with this piece of hardware that

787
00:44:14,360 --> 00:44:16,319
Speaker 1: is able to sort of monitor all this stuff. Like

788
00:44:16,360 --> 00:44:18,080
Speaker 1: it's a very like a smart device that's doing all

789
00:44:18,160 --> 00:44:20,799
Speaker 1: kinds of ship and because of that, it's kicking up

790
00:44:20,800 --> 00:44:24,000
Speaker 1: this information of when they're not quote unquote working. So

791
00:44:24,800 --> 00:44:26,480
Speaker 1: the way this works is this is from this Vice

792
00:44:26,560 --> 00:44:29,480
Speaker 1: article quote. Workers can receive a written warning for accumulating

793
00:44:29,520 --> 00:44:32,080
Speaker 1: thirty minutes of time off task in a day one

794
00:44:32,120 --> 00:44:34,640
Speaker 1: time in a rolling one year period. They can be

795
00:44:34,760 --> 00:44:37,200
Speaker 1: fired if they accumulate a hundred twenty minutes of off

796
00:44:37,600 --> 00:44:40,000
Speaker 1: time task or time off task in a single day,

797
00:44:40,080 --> 00:44:42,719
Speaker 1: or if they have accumulated thirty minutes of time off

798
00:44:42,760 --> 00:44:45,320
Speaker 1: task on three separate days in a one year period.

799
00:44:46,160 --> 00:44:49,880
Speaker 1: And so three separate times that you take a thirty

800
00:44:49,880 --> 00:44:54,280
Speaker 1: minute break in an entire year is grounds for fire.

801
00:44:54,360 --> 00:44:57,200
Speaker 1: And it's not a thirty minute break, it's a cumulative

802
00:44:57,239 --> 00:44:59,959
Speaker 1: thirty minutes in a day. You could take like sick

803
00:45:00,239 --> 00:45:03,319
Speaker 1: five minute breaks and that's thirty You could text your

804
00:45:03,440 --> 00:45:07,839
Speaker 1: sick parents two fifteen times for two minutes. Mm hm.

805
00:45:09,719 --> 00:45:12,520
Speaker 1: So you know, I'm really interested in I'm really interested

806
00:45:12,560 --> 00:45:14,759
Speaker 1: in the people that don't work, the people that work

807
00:45:14,760 --> 00:45:17,080
Speaker 1: at Amazon but not in the warehouse, the people that

808
00:45:17,120 --> 00:45:18,960
Speaker 1: work in the offices in front of the computers that

809
00:45:19,040 --> 00:45:23,400
Speaker 1: work at Amazon. How many times are they scrolling Facebook

810
00:45:23,640 --> 00:45:28,399
Speaker 1: or reading, you know, articles about Johnny dep never heard

811
00:45:28,800 --> 00:45:32,120
Speaker 1: and how many how many class works? How much T

812
00:45:32,320 --> 00:45:36,400
Speaker 1: O T are they doing? I have heard that that

813
00:45:36,560 --> 00:45:40,319
Speaker 1: that level is also a fucking waking nightmare. And you

814
00:45:40,320 --> 00:45:42,800
Speaker 1: you get dinged if you don't respond to an email

815
00:45:42,880 --> 00:45:46,120
Speaker 1: from a higher up within like five minutes at any

816
00:45:46,200 --> 00:45:50,080
Speaker 1: time of the death. So, like when you look at

817
00:45:50,120 --> 00:45:53,040
Speaker 1: sort of like these, the way they document the time

818
00:45:53,080 --> 00:45:56,640
Speaker 1: off task, it looks like some fucking c I Black

819
00:45:56,719 --> 00:46:01,520
Speaker 1: Site interrogation record or something. It's like date gap time

820
00:46:01,640 --> 00:46:04,360
Speaker 1: from eighteen to eighteen thirty seven, A A went to

821
00:46:04,400 --> 00:46:06,960
Speaker 1: floor one and was sent to floor to U like

822
00:46:07,160 --> 00:46:11,880
Speaker 1: raw time off task fifteen minutes twenty thirty A was

823
00:46:11,920 --> 00:46:15,240
Speaker 1: in the bathroom. Then they adjusted it minus ten because

824
00:46:15,239 --> 00:46:17,200
Speaker 1: they said, okay, okay, that's that's fair. You're in the

825
00:46:17,200 --> 00:46:19,799
Speaker 1: bathroom or not. We're not total monsters here. Then they

826
00:46:19,840 --> 00:46:24,120
Speaker 1: said twenty three oh four to A A does not

827
00:46:24,440 --> 00:46:27,759
Speaker 1: remember to A being like the shorthand for this employee

828
00:46:28,160 --> 00:46:31,879
Speaker 1: like does not remember. So the way this works is

829
00:46:32,400 --> 00:46:35,160
Speaker 1: when they're monitoring all this time, they begin to then

830
00:46:35,560 --> 00:46:38,120
Speaker 1: you know, look at who the person sort through the

831
00:46:38,160 --> 00:46:40,040
Speaker 1: data to find the person who they have to find

832
00:46:40,400 --> 00:46:44,480
Speaker 1: the term for this is a top offender. That's the quote.

833
00:46:44,560 --> 00:46:47,319
Speaker 1: That's like the language they use an Amazon because it

834
00:46:47,400 --> 00:46:50,440
Speaker 1: is a penal colony and they are basically supported like

835
00:46:50,440 --> 00:46:53,160
Speaker 1: a manager supposed to give the top offender a talking

836
00:46:53,200 --> 00:46:56,879
Speaker 1: to And I'll just read the process from this vice

837
00:46:56,960 --> 00:46:59,400
Speaker 1: article about how this whole thing goes quote. After identifying

838
00:46:59,480 --> 00:47:01,279
Speaker 1: the top of ender for every shift, the manager is

839
00:47:01,280 --> 00:47:03,319
Speaker 1: then required to have a conversation with a worker to

840
00:47:03,400 --> 00:47:05,840
Speaker 1: let them explain quote if there are any true barriers

841
00:47:05,880 --> 00:47:09,200
Speaker 1: that would warrant the deduction of time from the total

842
00:47:09,360 --> 00:47:12,680
Speaker 1: time off task tracked by the scanner. The manager makes

843
00:47:12,719 --> 00:47:15,000
Speaker 1: any adjustments to the total time off task and provides

844
00:47:15,000 --> 00:47:17,960
Speaker 1: feedback and disciplinary writeups when appropriate. This is where it

845
00:47:17,960 --> 00:47:21,400
Speaker 1: gets fucking even weirder. If the top offender during a

846
00:47:21,440 --> 00:47:24,520
Speaker 1: shift shift is found to have justified time off task,

847
00:47:24,760 --> 00:47:27,440
Speaker 1: the managers then required to coach the worker with the

848
00:47:27,600 --> 00:47:30,480
Speaker 1: second highest amount of time off task. A tool allows

849
00:47:30,520 --> 00:47:33,280
Speaker 1: managers to sort through the top offenders on any shift.

850
00:47:33,400 --> 00:47:36,520
Speaker 1: The documents also indicate that Amazon uses surveillance footage to

851
00:47:36,520 --> 00:47:40,480
Speaker 1: corroborate employees claims about their whereabouts, and describes an instance

852
00:47:40,640 --> 00:47:44,200
Speaker 1: in which a worker's alibi was later disproven using food

853
00:47:44,400 --> 00:47:49,600
Speaker 1: video footage. So it's everything, it's surveillance capitalism. You got

854
00:47:49,600 --> 00:47:52,280
Speaker 1: it all in one go. In You're in One Place,

855
00:47:52,920 --> 00:47:55,680
Speaker 1: one of the one of the times off task summaries

856
00:47:55,960 --> 00:48:00,840
Speaker 1: from eleven thirteen to eleven twenty three, the employee was

857
00:48:00,880 --> 00:48:05,160
Speaker 1: talking to another employee with no barriers identified. And that

858
00:48:05,320 --> 00:48:08,319
Speaker 1: is that is ten minutes off off task and there's

859
00:48:08,360 --> 00:48:12,720
Speaker 1: no excuse for that, Like those are that is being

860
00:48:12,840 --> 00:48:16,200
Speaker 1: a human being like that, that is what that is

861
00:48:16,320 --> 00:48:19,919
Speaker 1: there You you are not allowed to talk to your

862
00:48:20,080 --> 00:48:26,200
Speaker 1: fellow employee an event, to them about how fucking you

863
00:48:26,360 --> 00:48:32,120
Speaker 1: are currently existing in a black mirror episode. That that

864
00:48:32,239 --> 00:48:35,520
Speaker 1: is the reality that you were both in. You you're

865
00:48:35,640 --> 00:48:40,800
Speaker 1: not allowed to do that, And like how do they

866
00:48:40,840 --> 00:48:45,759
Speaker 1: expect people to they don't have mental health problems, But

867
00:48:45,800 --> 00:48:48,960
Speaker 1: I'm saying they, like that's what's so clear about these documents,

868
00:48:48,960 --> 00:48:51,000
Speaker 1: Like you we talked about all the time. These are

869
00:48:51,239 --> 00:48:54,680
Speaker 1: these people are on a spreadsheet. They're not fucking people.

870
00:48:55,080 --> 00:48:58,239
Speaker 1: They're like this drone was pooping for too long and

871
00:48:58,280 --> 00:49:01,200
Speaker 1: we gotta we gotta yell at them because it's not

872
00:49:01,320 --> 00:49:06,000
Speaker 1: functioning correctly for our Like you know, massive hyper profit aims.

873
00:49:06,280 --> 00:49:08,920
Speaker 1: The way they defended is like or internally, it's like

874
00:49:08,960 --> 00:49:11,800
Speaker 1: to make us the most customer centric company on earth.

875
00:49:13,040 --> 00:49:15,319
Speaker 1: The employee went to floor one and was sent to

876
00:49:15,360 --> 00:49:18,640
Speaker 1: floor too, so that presumably by by a higher up,

877
00:49:18,840 --> 00:49:23,040
Speaker 1: fifteen minutes time off task not not adjusted. So that's

878
00:49:23,080 --> 00:49:26,399
Speaker 1: just like, well you should have been quicker. Essentially, well

879
00:49:26,440 --> 00:49:28,120
Speaker 1: you should have known you were on the wrong floor,

880
00:49:28,200 --> 00:49:30,440
Speaker 1: but I was sent by someone else to go. Well,

881
00:49:30,440 --> 00:49:33,080
Speaker 1: I'll have to look into that. Anyway goes into the

882
00:49:33,120 --> 00:49:37,719
Speaker 1: time off task. But it's it's it's this is not

883
00:49:37,800 --> 00:49:43,680
Speaker 1: how human beings work. And and I think, yeah, that's

884
00:49:43,680 --> 00:49:46,160
Speaker 1: how someone who is not human works, someone who does

885
00:49:46,200 --> 00:49:49,040
Speaker 1: not have the rights to exist as a living human.

886
00:49:49,480 --> 00:49:53,080
Speaker 1: And you were of like a cog that is just

887
00:49:53,160 --> 00:49:57,680
Speaker 1: made of blood and guts. Yeah, and it's it's kind

888
00:49:57,719 --> 00:50:01,279
Speaker 1: of like we want to hire robot, but if we

889
00:50:01,360 --> 00:50:04,279
Speaker 1: hire all robots, we'll get a lot of pushback. So

890
00:50:04,400 --> 00:50:08,520
Speaker 1: let's just treat our human workforce as robots as close

891
00:50:08,600 --> 00:50:11,040
Speaker 1: as we can. Like you said, it's like they're a

892
00:50:11,040 --> 00:50:13,600
Speaker 1: cog in the machine. They're treating them like a like

893
00:50:13,640 --> 00:50:17,399
Speaker 1: a like a drone. And if the robots were good enough,

894
00:50:17,520 --> 00:50:20,200
Speaker 1: they would have hired them already. The robots aren't there yet.

895
00:50:20,400 --> 00:50:25,719
Speaker 1: That's that's the reason that they have people. Well, they'll

896
00:50:25,760 --> 00:50:29,279
Speaker 1: fire everybody the second that they can replace them with robots.

897
00:50:29,680 --> 00:50:31,480
Speaker 1: Have you all seen I'm all of us are in

898
00:50:31,560 --> 00:50:33,520
Speaker 1: l A. Have you all seen the like those little

899
00:50:33,560 --> 00:50:36,200
Speaker 1: like delivery things that drive with a flag up there,

900
00:50:36,239 --> 00:50:40,439
Speaker 1: like they're like little ice boxes. I've seen them. I've

901
00:50:40,640 --> 00:50:42,200
Speaker 1: kind of wanted to follow one one day, if I'm

902
00:50:42,239 --> 00:50:43,959
Speaker 1: not busy, I'll follow one. I just want to see

903
00:50:43,960 --> 00:50:46,440
Speaker 1: what happened. We know what's in there, Like I do

904
00:50:46,560 --> 00:50:54,000
Speaker 1: feel like I think I almost duty humanity kick those over, right?

905
00:50:54,440 --> 00:50:57,279
Speaker 1: I wonder, like and if it's food, Like, what would

906
00:50:57,280 --> 00:50:59,399
Speaker 1: happen if I like did kick it over and like

907
00:50:59,600 --> 00:51:04,120
Speaker 1: eat of food? It's sure they have it like on

908
00:51:04,160 --> 00:51:07,719
Speaker 1: a lock where it like only releases the product like

909
00:51:07,840 --> 00:51:11,520
Speaker 1: wants it's at the at the What if I like bugs?

910
00:51:11,600 --> 00:51:14,000
Speaker 1: What if I bugs bunny like pulled out a sledgehammer

911
00:51:14,040 --> 00:51:18,600
Speaker 1: from my pocket. Just walk you just tiptoe behind one

912
00:51:18,640 --> 00:51:22,120
Speaker 1: of those with the sledgehammer. The big mallet's going, yeah,

913
00:51:22,360 --> 00:51:25,560
Speaker 1: giant balot, big wooden mallet that expands out of your

914
00:51:25,560 --> 00:51:29,120
Speaker 1: pocket when the robot turns around, I like pull over

915
00:51:29,160 --> 00:51:33,839
Speaker 1: a bush, right, yeah, and your eyeballs are just coming

916
00:51:33,880 --> 00:51:39,040
Speaker 1: through the thing blinking. But then the robots, everybody, everybody

917
00:51:39,040 --> 00:51:41,319
Speaker 1: at home, just trust us. We are hilarious. In the

918
00:51:41,400 --> 00:51:47,319
Speaker 1: zoom video, they've seen it. Two of us haven't fantasized

919
00:51:47,320 --> 00:51:51,120
Speaker 1: about doing a knocking off a robo food delivery robot?

920
00:51:51,800 --> 00:51:55,799
Speaker 1: All right? Is that gang? Let us know if I'm curious, like,

921
00:51:56,719 --> 00:51:58,640
Speaker 1: have you seen one of those? Have you kicked it over?

922
00:51:59,320 --> 00:52:04,359
Speaker 1: Where are you currently incarcerated for doing that? Because the like,

923
00:52:04,400 --> 00:52:07,320
Speaker 1: that's what I've seen more videos of people helping them

924
00:52:07,360 --> 00:52:13,759
Speaker 1: to be honest, like on stupid like robot gives off

925
00:52:13,800 --> 00:52:17,640
Speaker 1: the impression of a child, like it it's like watching

926
00:52:17,880 --> 00:52:22,160
Speaker 1: the show with the children who are going on because

927
00:52:22,200 --> 00:52:27,120
Speaker 1: it looks helpless, it's moving very enough, doesn't have eyes,

928
00:52:27,800 --> 00:52:31,000
Speaker 1: just looks like a hopeless piece of ship, and you're like,

929
00:52:31,560 --> 00:52:33,600
Speaker 1: you know, I want to help this little guy along,

930
00:52:34,160 --> 00:52:40,040
Speaker 1: but like that thing represents just purely like grinding the

931
00:52:40,200 --> 00:52:43,520
Speaker 1: humanity out of like late stage capitalism, which is where

932
00:52:43,600 --> 00:52:47,320
Speaker 1: they want to head. As this spreadsheet just never occurred

933
00:52:47,360 --> 00:52:49,120
Speaker 1: to me to kick one of those things over, And

934
00:52:49,160 --> 00:52:52,560
Speaker 1: I've in fact before been like, it's weird that people

935
00:52:52,680 --> 00:52:56,520
Speaker 1: like like Boston Dynamics had that cross country robot that

936
00:52:56,600 --> 00:52:58,560
Speaker 1: was like going across the country and it just kept

937
00:52:58,560 --> 00:53:00,359
Speaker 1: getting the ship kicked out of it. I was like,

938
00:53:00,400 --> 00:53:04,240
Speaker 1: that's funny and also like kind of perplexing that humans

939
00:53:04,239 --> 00:53:07,319
Speaker 1: are just like robots kick it as. But now that

940
00:53:07,400 --> 00:53:10,440
Speaker 1: I've seen how much they want to treat us like

941
00:53:10,600 --> 00:53:14,800
Speaker 1: robots from this Amazon spreadsheet, I'm like, oh, the people

942
00:53:14,840 --> 00:53:18,719
Speaker 1: who were kicking that Boston Dynamics cross country robots as,

943
00:53:19,280 --> 00:53:22,440
Speaker 1: we're just like a step ahead of me. The pop

944
00:53:22,520 --> 00:53:25,359
Speaker 1: pop culture has showed us in every movie since I

945
00:53:25,400 --> 00:53:28,239
Speaker 1: was a child with robots that like they take over

946
00:53:28,280 --> 00:53:31,480
Speaker 1: and and annihilate us. That is, I mean every movie

947
00:53:31,520 --> 00:53:35,160
Speaker 1: that happens except Wally, but I guess and Wally, they're

948
00:53:35,440 --> 00:53:39,000
Speaker 1: they're in another they're advanced, they're they're even they're they're

949
00:53:39,000 --> 00:53:42,160
Speaker 1: more advanced than us. So it's always there, which and

950
00:53:42,600 --> 00:53:47,520
Speaker 1: humans have destroyed themselves exactly, which, yeah, I think that's

951
00:53:47,640 --> 00:53:50,920
Speaker 1: more like the Will the thing is pretty accurate in

952
00:53:50,960 --> 00:53:53,279
Speaker 1: the sense that we're going to destroy ourselves, just we're

953
00:53:53,320 --> 00:53:56,640
Speaker 1: going to create robots that are extra good at helping

954
00:53:56,719 --> 00:53:59,680
Speaker 1: us do that and do it and be comfortable whole

955
00:53:59,800 --> 00:54:02,920
Speaker 1: we do it. But also the idea that like robot,

956
00:54:03,160 --> 00:54:07,280
Speaker 1: the robots aren't that. I guess there's that Boston Dynamics

957
00:54:07,640 --> 00:54:11,040
Speaker 1: dog robot. The is scary, but like for the most part,

958
00:54:11,680 --> 00:54:14,800
Speaker 1: like the way their first appearing in our lives, they

959
00:54:14,920 --> 00:54:17,680
Speaker 1: look kind of helpless and dumb, and well, yeah, it's

960
00:54:17,760 --> 00:54:20,399
Speaker 1: I think it's like a boiling the frog boiling thing

961
00:54:20,440 --> 00:54:23,319
Speaker 1: where it's like the robots look dumb now and then

962
00:54:23,480 --> 00:54:25,920
Speaker 1: like we slowly get used to it and we're like, ah,

963
00:54:25,960 --> 00:54:28,640
Speaker 1: this one can't even like one arm shoot like a

964
00:54:28,920 --> 00:54:31,799
Speaker 1: like an M sixty machine gun. It's not stable enough.

965
00:54:32,200 --> 00:54:36,239
Speaker 1: And they're like wait what, oh my god, no, wait

966
00:54:36,680 --> 00:54:39,319
Speaker 1: did Jack to answer your question, here's a report from

967
00:54:39,320 --> 00:54:44,080
Speaker 1: the University of Tennessee. Two students arrested for victimizing food

968
00:54:44,080 --> 00:54:50,480
Speaker 1: delivery robot. Yeah. Back in March, two students nineteen and

969
00:54:50,520 --> 00:54:53,000
Speaker 1: twenty quote both attempted to shove the antent of the

970
00:54:53,080 --> 00:54:56,399
Speaker 1: robot inside the top compartment after receiving their food order.

971
00:54:56,560 --> 00:54:59,759
Speaker 1: Oh so they got their order and then got it

972
00:55:00,120 --> 00:55:03,200
Speaker 1: grow with it. Then Callahan picked up the robot and

973
00:55:03,239 --> 00:55:05,960
Speaker 1: slammed it into the ground. To replace one of these robots.

974
00:55:06,000 --> 00:55:09,239
Speaker 1: It will cost around But this is the question, like,

975
00:55:09,280 --> 00:55:11,960
Speaker 1: do you know when you're ordering food from an establishment,

976
00:55:11,960 --> 00:55:13,839
Speaker 1: if it's going to show up be a robot or human.

977
00:55:13,880 --> 00:55:16,759
Speaker 1: I mean, you might order food from wherever and then

978
00:55:16,760 --> 00:55:22,279
Speaker 1: all of a sudden it's like it's here. I had

979
00:55:22,320 --> 00:55:25,720
Speaker 1: to be able to handle it. You're back in there.

980
00:55:25,760 --> 00:55:30,680
Speaker 1: You poison me, You poison me? Oh man. Yeah, but

981
00:55:30,760 --> 00:55:32,799
Speaker 1: that's they'll make it like that. There will be a

982
00:55:32,840 --> 00:55:37,600
Speaker 1: point where it's you know, as as bad as like

983
00:55:37,640 --> 00:55:42,520
Speaker 1: assaulting a human, because that's like corporations. Yeah, corporations have

984
00:55:42,600 --> 00:55:45,960
Speaker 1: more rights than people do. Like it effectively, you know,

985
00:55:46,040 --> 00:55:49,359
Speaker 1: not necessarily by law, but like effectively, that's the only

986
00:55:49,400 --> 00:55:51,919
Speaker 1: thing that gets protected in this country. That's the only

987
00:55:51,920 --> 00:55:54,920
Speaker 1: thing that doesn't have money to spend on lawyers to

988
00:55:55,040 --> 00:55:58,280
Speaker 1: actually like back that shut up in court. So yeah,

989
00:55:58,440 --> 00:56:01,160
Speaker 1: you're a cop. Could go into your house and shoot

990
00:56:01,200 --> 00:56:05,120
Speaker 1: you dead while you're asleep and do maybe lose a

991
00:56:05,160 --> 00:56:08,200
Speaker 1: couple of weeks pay if you fucking funked up a

992
00:56:08,239 --> 00:56:11,200
Speaker 1: cop car man, they will puts you underneath the jail

993
00:56:11,840 --> 00:56:15,919
Speaker 1: and but the go fund me that the people will

994
00:56:15,920 --> 00:56:18,239
Speaker 1: make for you to recover that will probably end being

995
00:56:18,239 --> 00:56:21,040
Speaker 1: a million dollars for hours, right exactly, when they're like,

996
00:56:21,080 --> 00:56:24,239
Speaker 1: we need to protect our enforcers of private property and

997
00:56:24,280 --> 00:56:30,120
Speaker 1: white supremacy. Damn the you know, it's it's always something new.

998
00:56:30,600 --> 00:56:34,080
Speaker 1: It's so it's all headed in the same direction, but

999
00:56:35,120 --> 00:56:38,040
Speaker 1: to annihilition. Yeah, I did not think that the way

1000
00:56:38,080 --> 00:56:40,839
Speaker 1: Amazon treats its workers would lead me down the path

1001
00:56:41,000 --> 00:56:43,880
Speaker 1: of we got to take down our robot overlords. But

1002
00:56:44,280 --> 00:56:49,200
Speaker 1: it's how quick till those robots right, Like we're people

1003
00:56:49,200 --> 00:56:52,920
Speaker 1: who are hungry see that as something that has food

1004
00:56:52,960 --> 00:56:55,640
Speaker 1: inside and try to open it so they can survive

1005
00:56:55,920 --> 00:56:58,839
Speaker 1: what I was saying, you know what I mean. And

1006
00:56:58,920 --> 00:57:03,440
Speaker 1: then they're gonna outfit these ships with like electrocuting fucking

1007
00:57:03,520 --> 00:57:07,000
Speaker 1: prose or some ship like anti theft thing because people

1008
00:57:07,000 --> 00:57:09,480
Speaker 1: are starting It's that's what I mean, Like the technology

1009
00:57:09,520 --> 00:57:12,040
Speaker 1: is going to be more into being like and don't worry,

1010
00:57:12,320 --> 00:57:15,520
Speaker 1: destitute people have no way of getting your howling raise

1011
00:57:15,600 --> 00:57:18,440
Speaker 1: hot chicken sandwich. That's exactly. I was just thinking that.

1012
00:57:18,440 --> 00:57:20,440
Speaker 1: I was like, if it, if it, if it, you know,

1013
00:57:20,520 --> 00:57:22,960
Speaker 1: goes by an encampment or something like that, it's just

1014
00:57:23,000 --> 00:57:27,080
Speaker 1: like a bucket of chicken. Then there it's like you're

1015
00:57:27,160 --> 00:57:30,080
Speaker 1: you're asking people together it well, we also, yeah, we

1016
00:57:30,080 --> 00:57:32,800
Speaker 1: just live in a world where like survival crimes are

1017
00:57:33,000 --> 00:57:37,760
Speaker 1: only going to increase as inequality increases. Then again like

1018
00:57:37,840 --> 00:57:41,000
Speaker 1: the like, and then we're gonna spend more fucking time

1019
00:57:41,280 --> 00:57:46,440
Speaker 1: making the robots hungry people proof than solving the problem

1020
00:57:46,480 --> 00:57:49,920
Speaker 1: of hungry people. Yeah, and funding the police because you

1021
00:57:49,960 --> 00:57:53,080
Speaker 1: know they'll because the crime wave of the crime wave

1022
00:57:53,280 --> 00:57:59,120
Speaker 1: of like people robbing robot delivery bo and then yeah,

1023
00:57:59,200 --> 00:58:01,680
Speaker 1: that just ramp it up, and then Merrick Garland will

1024
00:58:01,680 --> 00:58:06,960
Speaker 1: announce that anti anti robot hate crime bill. Right in

1025
00:58:07,040 --> 00:58:10,360
Speaker 1: preparation for the Olympics, we need to put five thousand

1026
00:58:10,440 --> 00:58:12,880
Speaker 1: more cops than to make sure the robots don't get

1027
00:58:12,920 --> 00:58:17,040
Speaker 1: attacked in preparation for the Olympics. That's what it is.

1028
00:58:17,800 --> 00:58:21,640
Speaker 1: A bummer, Like how much the people who were the

1029
00:58:21,680 --> 00:58:25,000
Speaker 1: most paranoid and like the eighties and nineties have just

1030
00:58:25,240 --> 00:58:30,680
Speaker 1: turned out to be exactly right, like exactly like exactly right,

1031
00:58:30,840 --> 00:58:34,760
Speaker 1: Like the Running Man is about the Running Man, the RoboCop,

1032
00:58:35,040 --> 00:58:39,600
Speaker 1: like all those uh the like of Radiohead, like when

1033
00:58:39,680 --> 00:58:43,920
Speaker 1: they were like putting out an American flag with Nazi

1034
00:58:44,160 --> 00:58:46,880
Speaker 1: symbols instead of stars, and like ship like that that

1035
00:58:47,040 --> 00:58:49,680
Speaker 1: like at the time, you know, I was like just

1036
00:58:50,400 --> 00:58:53,040
Speaker 1: being based it in popular culture. I was like, all right,

1037
00:58:53,280 --> 00:58:57,880
Speaker 1: I was living on talant, but they were all exactly

1038
00:58:58,080 --> 00:59:03,000
Speaker 1: fucking right. I like this, Okay, hold, I don't know

1039
00:59:03,000 --> 00:59:08,400
Speaker 1: if we gotta go maybe cool it a little bit.

1040
00:59:08,480 --> 00:59:10,840
Speaker 1: You're listening to like Evil Empire by Raids for the

1041
00:59:10,880 --> 00:59:14,400
Speaker 1: first time, You're like, oh, I don't know, I don't know.

1042
00:59:14,920 --> 00:59:20,480
Speaker 1: Zack really have to go there? Yeah? Man, yeah he does.

1043
00:59:21,200 --> 00:59:24,320
Speaker 1: He does. He absolutely because it's there and we're there.

1044
00:59:24,560 --> 00:59:27,439
Speaker 1: We don't have to go there. We're here. Yeah. Well,

1045
00:59:27,480 --> 00:59:31,240
Speaker 1: there's a truly a pleasure having you as always. Where

1046
00:59:31,320 --> 00:59:33,880
Speaker 1: can people find you? Follow you? All that good stuff

1047
00:59:34,000 --> 00:59:36,960
Speaker 1: on Instagram and Twitter? I am at beza dabu. That's

1048
00:59:37,080 --> 00:59:40,360
Speaker 1: b e h z a d d a b u

1049
00:59:41,240 --> 00:59:44,000
Speaker 1: N Is there a tweet or some of the work

1050
00:59:44,120 --> 00:59:47,840
Speaker 1: of social media you've been enjoying. I'm going to do

1051
00:59:47,880 --> 00:59:50,080
Speaker 1: this from my friend Jaquis Neil, who has been on

1052
00:59:50,080 --> 00:59:57,560
Speaker 1: the pod. Jaquis Neil was permanently banned from Twitter for

1053
00:59:58,360 --> 01:00:01,200
Speaker 1: saying something like I hope you trip or something like that,

1054
01:00:01,760 --> 01:00:06,680
Speaker 1: I hope you stub your toe to somebody who read

1055
01:00:06,680 --> 01:00:10,760
Speaker 1: tweeted some really hateful ship. So he's been permanently banned.

1056
01:00:10,800 --> 01:00:12,600
Speaker 1: And you know, for those of you at home thinking

1057
01:00:12,600 --> 01:00:14,800
Speaker 1: and what's the big deal on Twitter? You know, Jackies

1058
01:00:14,840 --> 01:00:18,600
Speaker 1: is a comedian, he's a he's a producer. He does

1059
01:00:18,640 --> 01:00:20,880
Speaker 1: a lot of work on podcasts. Twitter is kind of

1060
01:00:20,880 --> 01:00:22,800
Speaker 1: a vehicle for a lot of voice for good and

1061
01:00:22,840 --> 01:00:25,160
Speaker 1: a voice for good, you know, and and and jack Keys.

1062
01:00:25,480 --> 01:00:28,320
Speaker 1: Twitter can be a huge part of your career. And

1063
01:00:28,400 --> 01:00:30,400
Speaker 1: to be permanently banned off that it's really hard. It's

1064
01:00:30,400 --> 01:00:33,840
Speaker 1: been impossible for him to get ahold of somebody. So

1065
01:00:34,320 --> 01:00:36,960
Speaker 1: I'm using this this platform here of like is there

1066
01:00:37,000 --> 01:00:39,479
Speaker 1: a tweeter constant I'm following is like it it's jack Keies.

1067
01:00:39,560 --> 01:00:41,720
Speaker 1: So let's if anyone out there has a way to

1068
01:00:42,160 --> 01:00:46,480
Speaker 1: help get him back on Twitter, that'll be great. Yeah,

1069
01:00:46,480 --> 01:00:49,040
Speaker 1: I've been I've been asking through people I know who

1070
01:00:49,280 --> 01:00:51,840
Speaker 1: like used to work in Instagram and like other things.

1071
01:00:52,320 --> 01:00:57,760
Speaker 1: It's fucking it's so absurd, Like the how many times

1072
01:00:57,800 --> 01:01:01,320
Speaker 1: he's been like suspended, even for twenty four hours over

1073
01:01:01,360 --> 01:01:05,840
Speaker 1: the most like tame ship that uh, you know, that

1074
01:01:05,960 --> 01:01:08,720
Speaker 1: just kind of underlines the bizarre standards that exist. And

1075
01:01:08,760 --> 01:01:11,160
Speaker 1: I feel like you know, maybe people are like mass

1076
01:01:11,200 --> 01:01:13,800
Speaker 1: reporting anyway, all that to say, if you work at Twitter,

1077
01:01:14,760 --> 01:01:17,400
Speaker 1: somebody who does, yeah, just let us know. Well we'll

1078
01:01:17,480 --> 01:01:19,760
Speaker 1: hit him up, but just let us know, let us

1079
01:01:20,200 --> 01:01:22,040
Speaker 1: get in there. And it is because it was a

1080
01:01:22,080 --> 01:01:25,880
Speaker 1: blue check mark that he was, you know, saying he

1081
01:01:26,000 --> 01:01:29,120
Speaker 1: hooked mildly uncomfortable things happened to them. Oh he said

1082
01:01:29,120 --> 01:01:33,720
Speaker 1: that to a blue check Yeah. Maddie Glaciers fucking like

1083
01:01:33,800 --> 01:01:39,560
Speaker 1: the dude who's like everybody's favorite, like supposedly progressive but

1084
01:01:39,760 --> 01:01:43,000
Speaker 1: actual centrist. Yeah, bullshit, I don't know who that is.

1085
01:01:43,800 --> 01:01:46,160
Speaker 1: He like co founded box I think, or like one

1086
01:01:46,160 --> 01:01:50,560
Speaker 1: of those shitty like what if The New York Times

1087
01:01:50,840 --> 01:01:55,040
Speaker 1: had a shorter name and was mainly a website. Anyways,

1088
01:01:55,600 --> 01:01:59,479
Speaker 1: funk that guy, and please help get Jackies his Twitter

1089
01:01:59,480 --> 01:02:02,200
Speaker 1: account back? Miles, Where can people find you? What's a

1090
01:02:02,240 --> 01:02:05,880
Speaker 1: tweet you've been enjoying? Twitter? Instagram at Miles of Gray.

1091
01:02:06,200 --> 01:02:09,760
Speaker 1: If you like basketball, mad boostis is the basketball show

1092
01:02:09,920 --> 01:02:14,760
Speaker 1: and we're getting into the NBA Finals, Invite me onto that.

1093
01:02:15,400 --> 01:02:21,000
Speaker 1: Oh yeah, we'll have you on soon enough. That's my jam.

1094
01:02:21,000 --> 01:02:22,920
Speaker 1: Oh we know, I mean I feel like half the

1095
01:02:23,000 --> 01:02:26,280
Speaker 1: time before we ever record we're always about basketball. Uh

1096
01:02:26,320 --> 01:02:27,920
Speaker 1: and also check out and then this week we had

1097
01:02:27,920 --> 01:02:30,160
Speaker 1: Carl tart On. Uh. So for those of you who

1098
01:02:30,200 --> 01:02:32,440
Speaker 1: do you've heard of Carl, check out Carl tart On

1099
01:02:32,480 --> 01:02:34,320
Speaker 1: mad Boost. He's also check out for a twenty day

1100
01:02:34,400 --> 01:02:38,360
Speaker 1: fiance A tweet that I like, man, there's been some

1101
01:02:38,600 --> 01:02:41,720
Speaker 1: good ones here we go making Gaily at Megan Gaily

1102
01:02:41,920 --> 01:02:44,920
Speaker 1: tweeted unscientific poll the anti vax people from my high

1103
01:02:44,960 --> 01:02:48,880
Speaker 1: school support Johnny Depp Oh no, that tracks Tomato Frog

1104
01:02:48,960 --> 01:02:51,960
Speaker 1: at Violin b o One tweeted do you think my

1105
01:02:52,000 --> 01:02:54,720
Speaker 1: therapist is ever like? Man? I hope it's a gossip

1106
01:02:54,800 --> 01:03:02,640
Speaker 1: day to day and not a trauma day that kill. Yeah,

1107
01:03:02,720 --> 01:03:05,360
Speaker 1: a part of me is like because part of me

1108
01:03:05,440 --> 01:03:07,720
Speaker 1: really did it has thought about that where sometimes I'm

1109
01:03:07,760 --> 01:03:11,840
Speaker 1: just talking shit to my therapist, uh and other times

1110
01:03:11,880 --> 01:03:13,640
Speaker 1: I'm trying to store through some stuff. But yeah, let

1111
01:03:13,720 --> 01:03:15,360
Speaker 1: us know a therapist if you if you ever think

1112
01:03:15,360 --> 01:03:18,920
Speaker 1: about that, you can find me on Twitter at Jack

1113
01:03:19,040 --> 01:03:24,160
Speaker 1: Underscore O'Brien. Some tweets I've been enjoying. Brian Bahi Uh,

1114
01:03:24,320 --> 01:03:27,960
Speaker 1: former guest one of the Greats tweeted, Pride month taught

1115
01:03:28,000 --> 01:03:33,480
Speaker 1: me it was okay? To be a corporation, and and

1116
01:03:33,520 --> 01:03:38,840
Speaker 1: then keeper At Danny Veggito tweeted, Yeah, top gun is propaganda.

1117
01:03:39,040 --> 01:03:47,600
Speaker 1: I'm taking a propaganda at Jennifer Connolly. Propaganda propaganda more

1118
01:03:47,680 --> 01:03:51,760
Speaker 1: like top a Ganda. That was our killer title this week.

1119
01:03:52,240 --> 01:03:54,520
Speaker 1: It's still my favorite title we've ever done. Thank you,

1120
01:03:54,600 --> 01:03:57,840
Speaker 1: thank you, thank you you. You know I've said it

1121
01:03:57,920 --> 01:03:59,640
Speaker 1: enough times like I don't need to say it again,

1122
01:04:00,560 --> 01:04:05,480
Speaker 1: No genius. You can find us on Twitter at daily Zeygeist.

1123
01:04:05,520 --> 01:04:07,560
Speaker 1: Were at the Daily Zekeeist on Instagram. We have a

1124
01:04:07,560 --> 01:04:09,960
Speaker 1: Facebook fan page on a website daily zey geis dot

1125
01:04:10,000 --> 01:04:14,840
Speaker 1: com where we post our episodes and our footnotes where

1126
01:04:14,880 --> 01:04:16,479
Speaker 1: we leg off to the information that we talked about

1127
01:04:16,560 --> 01:04:18,800
Speaker 1: today's episode, as well as a song that we think

1128
01:04:18,880 --> 01:04:24,400
Speaker 1: you might enjoy, Miles song we think people might enjoy. Okay,

1129
01:04:24,440 --> 01:04:27,080
Speaker 1: this is gonna be a track that was I just

1130
01:04:27,240 --> 01:04:31,280
Speaker 1: I just started listening to some tracks by this Indian

1131
01:04:31,400 --> 01:04:33,480
Speaker 1: artist who came I started kind of like started a

1132
01:04:33,520 --> 01:04:37,560
Speaker 1: new career in the US Asha Putley in the seventies.

1133
01:04:37,600 --> 01:04:39,480
Speaker 1: And this track is called let Me in Your Life

1134
01:04:39,560 --> 01:04:43,120
Speaker 1: and it's guy of like those like disco Mini Ripperton vibes.

1135
01:04:43,560 --> 01:04:46,400
Speaker 1: So if you like that kind of you know, very

1136
01:04:46,600 --> 01:04:50,560
Speaker 1: wonderful voice and disco e production. You're gonna like this

1137
01:04:50,600 --> 01:04:52,280
Speaker 1: and a lot of the other work from Asha Putlie

1138
01:04:52,440 --> 01:04:54,640
Speaker 1: fantastic two. So this has let me in your life,

1139
01:04:54,840 --> 01:04:56,960
Speaker 1: all right? Well? The Daily Zekeeist is a production of

1140
01:04:57,040 --> 01:04:59,040
Speaker 1: I Heart Radio from More podcast when I Heart Radio,

1141
01:04:59,120 --> 01:05:01,480
Speaker 1: visit the I Heart Radio app, Apple podcast, or wherever

1142
01:05:01,480 --> 01:05:04,000
Speaker 1: you listen to your favorite shows. That's going to do

1143
01:05:04,040 --> 01:05:06,160
Speaker 1: it for us this morning. We're back this afternoon to

1144
01:05:06,280 --> 01:05:09,880
Speaker 1: tell you what is trending and we will talk to y'all.

1145
01:05:09,880 --> 01:05:12,400
Speaker 1: Thank bye bye. M