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

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Speaker 1: Episode three of the Dailies Guys production of I Heart Radio.

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Speaker 1: I never really know, like I got a little bit

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Speaker 1: of a cold thing going on. I never really know

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Speaker 1: what my voice is going, like what's going on with me?

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Speaker 1: Until I do that der daily as igeist and like

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Speaker 1: here sounds come out of me, like coming out of

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Speaker 1: different parts of my voice box that weren't meant to

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Speaker 1: be used anyways. This is a podcast where we take

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Speaker 1: a deep dive into America's share consciousness. And it's Thursday,

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Speaker 1: January nineteen three. He mightus one day to my mom's birthday,

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Speaker 1: but also it's get to know your Customer's Day, World

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Speaker 1: work Day, and National pop carn Day. If you celebrate that,

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Speaker 1: shout out to that the popcorn got that cork c

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Speaker 1: O R K or q U A R W work. Yeah,

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Speaker 1: your pronunciation was good. Yeah, to make sure, I didn't

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Speaker 1: even know what I didn't even know what that was

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Speaker 1: until I think fan of subatomic particles, basically magical. Nobody

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Speaker 1: knows what the fun is going on down there's very strange,

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Speaker 1: very strange nobody knows going down to it. You sound

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Speaker 1: like my urologist. But yeah it is. It looks really good.

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Speaker 1: But this is like what they say, delicious, high protein,

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Speaker 1: low fed alternative to soft cheese and yogat that could

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Speaker 1: be used for baking, cooking, and blending. Okay, I'll stick

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Speaker 1: to cheese though, thank you or thank you very much. Wait,

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Speaker 1: that's what quirk is? Yeah? Oh, I thought it was

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Speaker 1: the subatomic particle. I guess I'm not looking at the spelling.

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Speaker 1: I thought it's q So that's what I mean. It's

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Speaker 1: a European super food staking its claim on supermarket shelves worldwide.

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Speaker 1: According this thing, I'm look, our guests probably can put

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Speaker 1: it onto what the fund is about. But as far

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Speaker 1: as you and I are concertain, Jack, we're like, what

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Speaker 1: is this fake cheese? Yeah? Yeah, I was thinking qu

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Speaker 1: A r K It is spelled like that though, what Yes, Jack,

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Speaker 1: coming straight for your dome right now? It is dome

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Speaker 1: is in danger. It's in the crosshairs. Anyways. My name's

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Speaker 1: Jack O'Brien, a K potatoes, O'Brien a K potatoes, obing bang,

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

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Speaker 1: co host Mr Miles Grass Miles Gray, and I gotta

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Speaker 1: keep the potato theme going because someone rightly pointed out,

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Speaker 1: if your potatoes O'Brien, then call me Miles, oh grotten,

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Speaker 1: thank you so much. That's Mikey Alexander on the twit

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Speaker 1: Mikey actually, yeah, yeah, yeah, that was That was one

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Speaker 1: of those pop culture references that people would always use

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Speaker 1: and I just like internalized it. But I didn't know

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Speaker 1: what the funk it was in reference too, because it

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Speaker 1: was like a little bit before my time, I think,

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Speaker 1: And I did want to just stop the podcast and

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Speaker 1: let people know there are pop culture references before my time,

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Speaker 1: So I don't feel old as fun. Were you were

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Speaker 1: you old enough to know where's the beef? Were you

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Speaker 1: alive for? There's your your prewars the beef too? I

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Speaker 1: think time time to miss the doughnuts or time to

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Speaker 1: make the doughnuts. I think I also missed Holy sh it,

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Speaker 1: I knew. I knew a lot of the like pop

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Speaker 1: culture references from DAWs effects they want effects like that's

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Speaker 1: you know right, that's like yeah exactly. Anyways, Miles, we're thrilled, fortunate,

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Speaker 1: blessed to be joined by a wonderful guest. The host

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Speaker 1: of the smart Mouth podcast used to run the food

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Speaker 1: section of L a weekly, and now runs the website

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Speaker 1: how to Eat l Just an all around brilliant travel

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Speaker 1: and food writer. It's Catherine Spires. You inspire us. Hello, Hello,

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Speaker 1: Happy cork Day to you both. Thank you. We did

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Speaker 1: have you on this special day because of your expertise

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Speaker 1: and food and sub atomic particles. We didn't know which

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Speaker 1: one it was, so we just figured, yeah, perfect, what

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Speaker 1: that planning? What's court have you had? Quirk? I know

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Speaker 1: you've had cork? Yeah? Actually quirk woonder quark. It used

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Speaker 1: to advertise on smart Mouth, like the I bet you

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Speaker 1: it's the same brand that send out that press release

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Speaker 1: that you were reading from. They're wanting everyone to get

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Speaker 1: into cork. For sure, it's good. It's kind of like

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Speaker 1: half yogurt half sour cream. Oh perfect, That is what

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Speaker 1: I think you're like for more sour creaminess in my

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Speaker 1: yogurt and more yogurt nous in my sour cream. I

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Speaker 1: wish this yogurt was slightly off a bit. You would

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Speaker 1: make it perfect. I'm sure it's good. I'm just being

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Speaker 1: wa So how have you had it? Rather than accurately

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Speaker 1: describing it, like what's how have you had it? We're like, man,

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Speaker 1: that's that's how good cork dish would would be. Yeah,

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Speaker 1: I mean, you just eat it like yogurt. Really, so

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Speaker 1: I said fruit to it? Yeah, I mean, and it's

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Speaker 1: some sometimes it comes with fruit. I think people make

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Speaker 1: cheesecake with it a lot. You just add a bunch

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Speaker 1: of sugar to it. I bet it tastes bomb Okay,

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Speaker 1: I'm with that. Yeah, I feel like that's true of

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Speaker 1: a lot of things. Mmmmm yeah. Yes, Catherine, there's this

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Speaker 1: little prank that myself from two years ago likes to

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Speaker 1: play on myself from the present. Whenever you're on where

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Speaker 1: I looked back, my brain always wants to pronounce your

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Speaker 1: last name Spears. And I had your name written in

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Speaker 1: my notes from the last time as Catherine Spears like

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Speaker 1: Brittney bitch. I wrote to myself like a just a

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Speaker 1: fucking jerk, like yeah, kin keeping yourself on your toes. Yeah,

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Speaker 1: I think that's what it is. Yeah, I don't know,

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Speaker 1: keeping it I am mean, And I always have the

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Speaker 1: habit is to always ask you, even though I'm slight,

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Speaker 1: I'm all if I put money, I'd always say spires

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Speaker 1: around was like, and it's all as usual. Spears or

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Speaker 1: spires yeah, you entered, Miles, says Spears Spris. I said,

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Speaker 1: ha ha ha, Miles. Actually you don't have to worry

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Speaker 1: about it because I wrote down a note from last

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Speaker 1: time and Spears like Brittney bitch, and the call got

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Speaker 1: so quiet, say and You're like, yeah, dickhead. And I'm like,

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Speaker 1: all right, Katherine, 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 things that we are talking

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Speaker 1: about today. We're gonna talk about George Santos de Volder,

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Speaker 1: Anthony Makato, whatever his name is. You know all the

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Speaker 1: names that this man goes by. But how how long

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Speaker 1: can he keep this one lie going? These many lies

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Speaker 1: that are just like kind of a web. He's spending

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Speaker 1: a vast web. I don't think he's going anywhere, which

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Speaker 1: is so fucked up. Inspiration for the next generation of dickheads. Yeah,

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Speaker 1: there's a famous Tesla autopilot demo video that Elon Much

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Speaker 1: tweeted out six seven years ago. But I think a

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Speaker 1: lot of people's self driving car enthusiasm was started or

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Speaker 1: at least built on the back of this video. Is

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Speaker 1: very popular. Video turns out it was misleading. Yeah, it's

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Speaker 1: not what they said it was. So we're gonna talk

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Speaker 1: about that. We the New York Times, I reported this

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Speaker 1: last year or the year before, but we now have

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Speaker 1: a confirmation from an internal TESTLA source. So we'll talk

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Speaker 1: about what what they lied about. Dolly Parton is really

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Speaker 1: making that rock album like oh fuck yeah, Okay, yeah,

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Speaker 1: I mean it's it's like a lot of covers of

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Speaker 1: songs that are like the first rock songs that you

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Speaker 1: find out about when you first find out about rock music.

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Speaker 1: But like, I'm sure she's gonna pull it off, because

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Speaker 1: she pulls everything off. But it does suggest a narrative

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Speaker 1: to me where she like just found out about rock

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Speaker 1: and roll when she was inducted into the Rock and

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Speaker 1: Roll Hall of Fame, and then like this, she's like,

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Speaker 1: oh okay, alright, let me do a little listening. Ah Freebird.

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Speaker 1: This free Bird one is pretty good because she is

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Speaker 1: covering Freebird on her album. We'll talking about what's that

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Speaker 1: she gonna hit that guitar solo too? Yeah, probably that

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Speaker 1: would be wild. I mean if she shredded that guitar solo,

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Speaker 1: then I'd be like, just you know, we are Yeah,

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Speaker 1: you were the uh, And then we're gonna talk about

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Speaker 1: how mountees are trash. A cab does include mountees in

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Speaker 1: a major way. All of that plenty more. But first, Catherine,

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

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Speaker 1: from your search history? Oh, I've been searching all the

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Speaker 1: synthetic fabrics like lio cell and tent cell and stuff.

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Speaker 1: I'm trying to figure out how to least blow up

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Speaker 1: the planet with my choices. So all these all these

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Speaker 1: new fabrics, you know, they say they're recycled or whatever.

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Speaker 1: Do you know, like the process of recycling waste so

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Speaker 1: much water, it might be worse than using cotton. It's

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Speaker 1: just I don't like it. I like it. I don't

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Speaker 1: know why I keep doing this to myself, trying to

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Speaker 1: be a conscientious consumer, and it's just killing me inside

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Speaker 1: because it cannot be done. Yeah, I mean unless you

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Speaker 1: go like full homespun. Yeah, but she has the time

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Speaker 1: because you also live in capitalism, so you have to

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Speaker 1: make money from outside the home. So yeah, right, Yeah.

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Speaker 1: The one recycling i've heard is good is the aluminum.

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Speaker 1: That's the one that, like you, you always need to

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Speaker 1: make sure you're recycling all aluminum. Everything else that's like,

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Speaker 1: do they actually recycle it? Do they just send it

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Speaker 1: to a pole? But I don't know that it's not

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Speaker 1: paper anymore? Is you know it? What are you worried about?

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Speaker 1: I'm not burning it. It's kind of like the energy,

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Speaker 1: but it's too like so many things are like this

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Speaker 1: thing can actually turn this other thing into a usable item,

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Speaker 1: and we can produce our waste. It's like, but it

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Speaker 1: needs coal to operate, and you're like what, or like

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Speaker 1: it uses untold amounts of water and like yeah, exactly.

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Speaker 1: And then I had this theory that online shopping has

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Speaker 1: like precipitated, precipitated the rise in these fake fabrics because

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Speaker 1: we can't feel them, and we've forgotten what clothes are

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Speaker 1: supposed to feel like too, So I think we're just

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Speaker 1: in a mess with with our fashions at the moment.

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Speaker 1: I've noticed some websites now they take such close ups

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Speaker 1: of the garment so you can get an understanding of

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Speaker 1: what the fabric looks like. That's a good idea. It

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Speaker 1: feels like something where people been like, hey, I thought

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Speaker 1: this one was blah blah bla, and they're like, no, look,

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Speaker 1: it's clearly woven. This is like cotton I don't. It

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Speaker 1: looks shiny, but that's the deal. But yeah, I remember,

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Speaker 1: like that was like one of the first things that

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Speaker 1: like a habit I picked up from my mom when

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Speaker 1: you drag me to like go to a department stores,

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Speaker 1: Like she's like, yeah, this is well made. She's like, yeah,

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Speaker 1: this is this is well oh, this is good good fabric.

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Speaker 1: We're like words I would hear all the time. She

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Speaker 1: tastes it a little bit. Oh yeah, she bite it,

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Speaker 1: and they're like, hey, what do we tell you about this?

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Speaker 1: She's like, let's go. But yeah, like I I realized

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Speaker 1: now to your point that it's not just like yeah,

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Speaker 1: it looks good and then you get it and you're

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Speaker 1: like it disintegrated the second I sweated in it. It

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Speaker 1: happens so often it's horrible. Yeah, I'm not the best

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Speaker 1: online shopper. I keep buying dolls clothes because you keep

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Speaker 1: insisting how cheap they are, and yeah, you get I'm like,

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Speaker 1: I'm getting a great deal on this jacket. It's my hand. Yea,

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Speaker 1: what is something you think is overrated? Deep dish pizza?

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Speaker 1: Which kind did you just ask? What is that? You know?

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Speaker 1: Which kind? Like? Are you coming for somebody in l A.

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Speaker 1: Are you coming? Are you coming for a pizza rear

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Speaker 1: right now? Are you just saying I don't do that

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Speaker 1: coming right now? I am not. I am not. I

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Speaker 1: don't know. It just seemed like something that I've never enjoyed. Ergo,

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Speaker 1: it is overrated. Some people like it right. First of all,

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Speaker 1: why do they call it pizza? That things like a casserole,

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Speaker 1: maybe a pie. Stop calling it pizza. I don't like

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Speaker 1: that with top Yeah yeah, I think, well, I think

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Speaker 1: if you called it a casserole, that doesn't sound more appealing,

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Speaker 1: but I think it would be. We're honest, it should be. Man,

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Speaker 1: you ain't eating more than two of these slices? Yeah,

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Speaker 1: that's what. Really, I've eaten half a Domino's Deep Dish.

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Speaker 1: How much Massa can you eat? At one go? That's

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Speaker 1: a good point because Massa that are like that's the

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Speaker 1: you know, Echo Park Deep Dish pizza in l A.

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Speaker 1: That ship is like a fucking brick. And when I

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Speaker 1: eat it, I'm like, oh my god. Like I'd like

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Speaker 1: to eat a lot of pizza is my thing with pizza,

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Speaker 1: Like I want to have numerous slices and I end

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Speaker 1: up just gorging myself it's it's all about the fun

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Speaker 1: ways you can toss it into your mouth. Yes, yeah,

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Speaker 1: Miles is a real showman when it comes to eating pizza. Said,

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Speaker 1: I chipped my teeth. I chipped my teeth because it's

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Speaker 1: pizza so fucking dense it broke my mouth. But do

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Speaker 1: you now, do you hold this for Sicilian too? Like

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Speaker 1: there there's a certain type of Sicilian that I like,

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Speaker 1: like Prime has a good I think they call it

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Speaker 1: like a Grandma piece. There's this place Bleaker Street in

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Speaker 1: New York that has a really good one too that

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Speaker 1: it's I think the crust is like facascio e Like, yeah,

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Speaker 1: it's more like that's more like like a real thick

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Speaker 1: crust with a little bit of toppings, right, as opposed

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Speaker 1: to just like stuff on stuff on stuff on stuff. Yeah. Yeah, yeah,

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Speaker 1: I mean yeah, it's it's definitely it's not a little

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Speaker 1: bit of toppings, but it's definitely no normal Yeah, the

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Speaker 1: cheese is not, you know, going to affect my digestion

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Speaker 1: for the next three weeks, maybe just like a week

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Speaker 1: and a half. I've noticed, though, a lot of Chicagoans

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Speaker 1: now are trying to basically be like stop thinking this

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Speaker 1: is our pizza. You really been crust tavern style pizza,

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Speaker 1: that's what the funk our pizzas. I learned this from

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Speaker 1: jackies Nels Chicago, and then I started seeing it more

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Speaker 1: and more, like on Twitter and like comedians who are

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Speaker 1: from there who are like like, yes that we have

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Speaker 1: Deep Dish, but like you want this tavern pizza and

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Speaker 1: I'm like, okay, the thin crust see. But then de

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Speaker 1: traders would say that the tavern style is their pizza.

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Speaker 1: The pizza fight is so funny to me because I

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Speaker 1: think everyone's working with different terms and definitions to begin with.

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Speaker 1: We're all like, we don't know what we're talking about

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Speaker 1: when we're talking Detroit, like in that old oil pan

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Speaker 1: style pizza though too Yeah, and that's tavern pizza, is it?

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Speaker 1: Or what other people say that I have it all?

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Speaker 1: Just get all Mike right now. So producer Justin is

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Speaker 1: over here, and the Chicago pizza it's more like a

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Speaker 1: birthday cake where you only do the deep dish once

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Speaker 1: twice a year. Yeah, deep dishes a celebratory thing. It's

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Speaker 1: like when you have a bunch of people Chicagoans, like

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Speaker 1: true Chicagoans don't really funk with deep We're not ordering

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Speaker 1: it weekly or whatever. Um, I don't ever remember using

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Speaker 1: the term tavern style when I was younger. We always

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Speaker 1: just used to call it thin crust pizza. But it's

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Speaker 1: something you order at like it's kind of like finger

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Speaker 1: food where you're at a bar and the slices are

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Speaker 1: really small and they're super greasy and they're kind of thin,

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Speaker 1: and there's like a hundred of them and you just

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Speaker 1: him amongst a group of people. And that's what I'm

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Speaker 1: used to more often. So yeah, that's mostly what we

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Speaker 1: were doing ordered, thank you. It was actually started by

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Speaker 1: Dominoes with their thin crust pizza. That style that you

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Speaker 1: were describing, it's pretty good. What is something you think

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Speaker 1: is underrated? Katherine? Lab grown diamonds. I just started learning

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Speaker 1: about these, and I don't understand why everyone isn't just

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Speaker 1: buying thousands of dollars worth of lab grown Oh no, okay,

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Speaker 1: because that's what that's what the fucking diamond and she's doing.

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Speaker 1: We are, we are ops for the diamond industry. Uh

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Speaker 1: so we're gonna actually have to remove all this. What

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Speaker 1: else do you think is that? Now? I'm just trying Wait,

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Speaker 1: I'm sorry, I think you got it mixed up. You

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Speaker 1: said overrated his lab grown diamonds, right, because they don't

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Speaker 1: even they pale in comparison to the rich history of

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Speaker 1: a child mind diamond. Yeah, yeah, it's true. We love

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Speaker 1: a history, don't wait, we love a story. Worry with

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Speaker 1: our diamonds. Have you seen the propaganda against it. That's

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Speaker 1: the kind of ship that they're trying to say, yes,

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Speaker 1: bloody history of Yes, it is incredible. And then I

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Speaker 1: also heard, and I haven't verified it, but I heard that.

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Speaker 1: So you know how in natural gemstones they'll be like

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Speaker 1: errors in them. They call them inclusions. It's like where

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Speaker 1: it's not like perfect. So I guess in lab diamonds

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Speaker 1: you can supersede that because they're grown in a lab,

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Speaker 1: so they can be perfect if you want them to

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Speaker 1: be perfect. So now I guess the natural gem jewelers

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Speaker 1: are being like, oh, only natural ones have occlusions and

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Speaker 1: then marking them up for having inclusions, which used to

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Speaker 1: be like a mistake diamonds, right, they used to be

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Speaker 1: the thing that they would mark them down for exactly.

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Speaker 1: So it's all just like a conversation that the diamond

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Speaker 1: industry is having with like a bunch of guys with

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Speaker 1: like jeweler loots, Jewelers loop loops Yeah, jewelers loops Yeah,

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Speaker 1: just being like, okay, so I say this is bad. Yeah,

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Speaker 1: they're just they're tripping all over themselves. It's it's kind

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Speaker 1: of funny, but they aren't like the lab ground ones

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Speaker 1: are a lot cheaper. They're not cheap, but you could

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Speaker 1: get like a big old ring or something and stunt

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Speaker 1: on everybody and that somebody's looking to loop and be like,

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Speaker 1: I can't believe it. Obviously, nobody wants VVS one or

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Speaker 1: F level diamonds, which are flawless. Everyone now wants I three,

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Speaker 1: the bottom run of them. I mean, you're joking, but

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Speaker 1: you're a month, But that's what you're saying, basically, VVS

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Speaker 1: fuck vs fuck funk all that we want eye level

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Speaker 1: diamonds now, and that this yellow streak that suggests that

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Speaker 1: it was left in maybe animal urine or something. And

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Speaker 1: I believe there's a little bit of newsprint that's rubbed

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Speaker 1: off onto this diamond. So that's that's great, that's good. Actually,

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Speaker 1: we actually like very yellow diamonds that are not canary diamonds.

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Speaker 1: That's what we like. That's the right thing. They need

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Speaker 1: to look like an old book you opened after seventy years. Yeah. Yeah, advertising.

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Speaker 1: I mean, it's so funny because even like recently when

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Speaker 1: I was getting engaged and stuff, and like I'm starting

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Speaker 1: to familiarize myself and everything, Like, why the funk wouldn't

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Speaker 1: you just what I'm sorry, what is the difference? They're like, well,

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Speaker 1: it's not mine. Yeah, that's I'm trying to get away

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Speaker 1: from that. Actually, so again, what is that good? Right? Yeah? Yeah?

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Speaker 1: We actually so these are lab made, but we hold

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Speaker 1: the laboratory scientists. First of all, we recruit very young

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Speaker 1: laboratory scientists and then we hold them against their will

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Speaker 1: at gunpoint while they're making them. So it's extra valuable. Yeah,

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Speaker 1: that's an extra five thousand dollars if there's fear involved. Yes,

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Speaker 1: oh wow, you want to see? Man, this there's a

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Speaker 1: hack post I just found that said seven reasons and

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Speaker 1: not to buy a lab GROOPI Number one. Lab run

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Speaker 1: diamonds are worthless. Okay, great, wait, but they're worthless. So

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Speaker 1: that's that sounds like cheap to me. They're like, it's

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Speaker 1: once it's made, it's about less than the price of

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Speaker 1: a natural mind diamond. And yeah, and also they just

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Speaker 1: contradicted themselves because that's not worthless less. It's still a

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Speaker 1: chunk of change, right, and then they're worthless. Just feel

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Speaker 1: yeah that that feels like it's some diamond shop owner

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Speaker 1: like worthless. Bring over here. All the arguments are so

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00:19:29,960 --> 00:19:31,919
Speaker 1: bad that another one's like they're bad for the environment

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Speaker 1: because you've got to use electricity. Okay, but then people

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Speaker 1: are like people are using renewable energy to like whatever.

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Speaker 1: Also ton of water three whatever, no number three. Lab

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Speaker 1: diamonds ain't real diamonds. Who gives a fuck asshole? They're

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Speaker 1: they're fucking they're like down to the cellular level, the

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00:19:54,640 --> 00:19:57,600
Speaker 1: exact same fucking thing. The process is just different. Like

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Speaker 1: what isn't the process the exact same just sped up? Yeah,

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Speaker 1: they're like massive amounts of pressures. They know, they know

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Speaker 1: they we got the recipe to make them. They're just

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Speaker 1: doing it outside of you know, the middle of Africa

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Speaker 1: where they don't have to brutalize people to be like

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Speaker 1: the Jabers family needs more rivers. And another one, you

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Speaker 1: can't get lab grown diamonds appraised. A diamond is a

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Speaker 1: diamond is a diamond? No? Come on, this is you

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Speaker 1: can't get them appraised? Why because like all the appraisers

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Speaker 1: have just been like, nope, we're not we won't even

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Speaker 1: look at that piece. You can only buy small. You

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00:20:35,880 --> 00:20:42,040
Speaker 1: can only buy small lab grown diamonds. Okay, there, then

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Speaker 1: they're expensive, right, I mean, but they're also worthless. All

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Speaker 1: of these haven't implied. Probably after them, you can't probably

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Speaker 1: get like a big one either. Probably. Yeah, this is

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Speaker 1: truly Mom's going to find out what? Find out? What?

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00:21:05,040 --> 00:21:08,720
Speaker 1: When I tell her, She's not gonna be very happy. Okay,

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00:21:08,960 --> 00:21:13,879
Speaker 1: who is this a down and out diamond dealer? And

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Speaker 1: and the next thing to fall so diamond industry first,

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Speaker 1: and then sneakers, Yeah, yeah, I mean lab grown sneakers,

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Speaker 1: anything more, finding them in the wild. Anything that takes

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Speaker 1: the fucking teeth out of luxury goods, I'm all for it.

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Speaker 1: Like anything that anything that upsets somebody who defines their

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Speaker 1: lifestyle or level of well being based on the amount

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Speaker 1: of goods they can afford or the type of goods

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Speaker 1: they can afford, take that away. We don't need that.

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Speaker 1: Like that's it's so funny when you see, especially like

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Speaker 1: with like replica of fashion, people like now like they

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00:21:52,040 --> 00:21:55,040
Speaker 1: can buy knockoffs in China real easy on the Internet

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00:21:55,200 --> 00:21:57,600
Speaker 1: and they pull up with like almost you know, nearly

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Speaker 1: one to one looking garments every Yeah, but that's fake,

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00:22:01,640 --> 00:22:03,800
Speaker 1: and it's like, yeah, I guess what, asshole, you're mad

380
00:22:03,840 --> 00:22:05,919
Speaker 1: because you don't like because it's all built on this

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Speaker 1: idea of like, well, some people shouldn't have access to

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Speaker 1: some things, and that's how I feel good about myself up, Like, yeah,

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Speaker 1: it's I do know there's like a lot ethnically wrong

384
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Speaker 1: with fast fashion, but I think, yeah, I think the

385
00:22:20,920 --> 00:22:24,399
Speaker 1: fact that like the ethical problems with that get called

386
00:22:24,440 --> 00:22:27,880
Speaker 1: out and not like any ethical problems with high fashion

387
00:22:28,040 --> 00:22:29,800
Speaker 1: probably has to do with the fact that they're what

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00:22:29,880 --> 00:22:32,720
Speaker 1: they're better fund there is an established order in place

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Speaker 1: that is trying to protect its Yeah, because you see

390
00:22:35,840 --> 00:22:39,800
Speaker 1: you see advertisements are like you wouldn't bio fake, Rolex,

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00:22:39,840 --> 00:22:44,920
Speaker 1: would you like yes, yes, yeah, I'm sorry you want

392
00:22:44,920 --> 00:22:51,960
Speaker 1: to spend on a wrist metal? Yeah? All right, let's

393
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Speaker 1: take a quick break and then we'll talk about the

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Speaker 1: new spiritual leader of this movement of you know what nothing, Yeah,

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00:23:00,040 --> 00:23:03,320
Speaker 1: raudulent is cool now thanks to our new king, George Santos.

396
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Speaker 1: We'll be right back and we're back, and i'd say

397
00:23:18,600 --> 00:23:20,439
Speaker 1: this story is back in the headlines, but it's just

398
00:23:20,520 --> 00:23:26,640
Speaker 1: kind of staying there. George Santos, the GOP politician representative

399
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Speaker 1: in the House who got successfully elected and then just

400
00:23:31,119 --> 00:23:34,360
Speaker 1: like turned out like might not even be his real name,

401
00:23:34,720 --> 00:23:40,640
Speaker 1: or yeah, so we we have more details. He lied

402
00:23:40,640 --> 00:23:43,040
Speaker 1: about the colleges he went to. He lied about the

403
00:23:43,200 --> 00:23:45,920
Speaker 1: investment firms he worked for. He lied that his company

404
00:23:46,000 --> 00:23:48,960
Speaker 1: had like some investment firm that was like managing like

405
00:23:49,000 --> 00:23:53,280
Speaker 1: a billion dollar portfolio. Lies, he had a nonprofit lies

406
00:23:53,480 --> 00:23:56,440
Speaker 1: there couldn't find a sink, They couldn't like his fucking

407
00:23:56,560 --> 00:24:00,200
Speaker 1: name wasn't even real. Like he goes by Anthony Devolder.

408
00:24:00,280 --> 00:24:02,359
Speaker 1: He was going by Anthony de Volder before he became

409
00:24:02,400 --> 00:24:05,360
Speaker 1: George Santos, and prior to that he has all these

410
00:24:05,400 --> 00:24:08,960
Speaker 1: like he's wanted in Brazil for like swindling an old

411
00:24:08,960 --> 00:24:12,320
Speaker 1: man's check book and writing himself checks. It's a whole thing.

412
00:24:12,440 --> 00:24:16,720
Speaker 1: But anyway, now George Santos or Anthony Devolder or Captain

413
00:24:16,760 --> 00:24:19,320
Speaker 1: Marvel or whatever he's going by, or I guess in

414
00:24:19,359 --> 00:24:23,880
Speaker 1: this case, he's Anthony Zabrovsky. And when I tell you, wait,

415
00:24:23,960 --> 00:24:27,639
Speaker 1: why why is he Anthony Zabrovski. Well, allow his former

416
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Speaker 1: roommate to just enlighten you onto why he had, you know,

417
00:24:31,680 --> 00:24:34,959
Speaker 1: this specific name. How long did you actually live together?

418
00:24:36,119 --> 00:24:38,720
Speaker 1: We were only were mats for a few months. And

419
00:24:38,760 --> 00:24:42,920
Speaker 1: I also knew him as Anthony Zebrovski, so you knew

420
00:24:43,000 --> 00:24:46,400
Speaker 1: him he was. Why did say he had two names? Then?

421
00:24:47,600 --> 00:24:51,159
Speaker 1: Well he he used the Browski for his Friends of

422
00:24:51,640 --> 00:24:57,000
Speaker 1: Pats United, Um let's go fund me and he would say, oh, well,

423
00:24:57,280 --> 00:24:59,080
Speaker 1: you know that the Jews will give more if you're

424
00:24:59,080 --> 00:25:04,240
Speaker 1: a Jew, and so that's the name of us. So

425
00:25:05,160 --> 00:25:07,439
Speaker 1: that's where that's where we're lead. That's where we're starting

426
00:25:07,480 --> 00:25:10,240
Speaker 1: off today with the George Santos saga. Again, Remember he

427
00:25:10,240 --> 00:25:14,679
Speaker 1: also said he was Jewish and and then that was

428
00:25:14,720 --> 00:25:16,800
Speaker 1: also a lie when he was like, yeah, my family

429
00:25:16,840 --> 00:25:19,159
Speaker 1: they were fleeing like the pogroms, you know, and like

430
00:25:19,200 --> 00:25:21,880
Speaker 1: you're like, I can't, we can't find anything that's even

431
00:25:21,920 --> 00:25:24,760
Speaker 1: close to that. So look, he's a shape shifter and

432
00:25:24,760 --> 00:25:27,800
Speaker 1: in this case, he's you know, uh, using using this

433
00:25:27,920 --> 00:25:30,960
Speaker 1: like go fund me scam that he likes to go with.

434
00:25:31,080 --> 00:25:34,080
Speaker 1: And we've talked about this Friends of Pets United charity

435
00:25:34,119 --> 00:25:36,560
Speaker 1: that he has. But this is what's this is what's

436
00:25:36,560 --> 00:25:38,440
Speaker 1: sort of going on right now. The biggest thing that's

437
00:25:38,440 --> 00:25:40,399
Speaker 1: come out now is we found out that through that charity,

438
00:25:40,520 --> 00:25:42,639
Speaker 1: this guy is screwed over a sick dog in a

439
00:25:42,680 --> 00:25:45,720
Speaker 1: disabled veteran. So there was a disabled Navy vet named

440
00:25:45,800 --> 00:25:48,680
Speaker 1: Richard austav who was living like he was unhoused, living

441
00:25:48,680 --> 00:25:52,040
Speaker 1: in a tent, and he had his service dog, Sapphire,

442
00:25:52,280 --> 00:25:54,800
Speaker 1: who had like you know, he received from a charity

443
00:25:54,880 --> 00:25:58,000
Speaker 1: organization because he needed a service animal, but that dog

444
00:25:58,040 --> 00:26:01,040
Speaker 1: had a life threatening tumor that needed to be removed.

445
00:26:01,200 --> 00:26:03,760
Speaker 1: He had no idea what to do because the situation

446
00:26:03,840 --> 00:26:06,320
Speaker 1: was so dire, and another another person he knows, said,

447
00:26:06,520 --> 00:26:08,400
Speaker 1: I think I can connect you with somebody who could

448
00:26:08,400 --> 00:26:10,359
Speaker 1: get you to a pet charity to get you know,

449
00:26:10,480 --> 00:26:13,440
Speaker 1: the operation or procedure the dog needs. This is where

450
00:26:13,480 --> 00:26:16,520
Speaker 1: Santos comes in. His like Friends of Pets United, which

451
00:26:16,560 --> 00:26:19,359
Speaker 1: again is not an actual five oh one c three

452
00:26:19,440 --> 00:26:23,200
Speaker 1: nonprofit organization, claimed that they could raise the funds to

453
00:26:23,240 --> 00:26:26,240
Speaker 1: get Sapphire the procedures she desperately needed. So he put

454
00:26:26,320 --> 00:26:29,400
Speaker 1: up a go fund me with that you know, spurious name,

455
00:26:29,720 --> 00:26:32,480
Speaker 1: and they successfully raised the three thousand dollars that was

456
00:26:32,520 --> 00:26:35,520
Speaker 1: needed to help the dog. Oh wait, but he's a

457
00:26:35,520 --> 00:26:38,760
Speaker 1: stinking pile of ship. So he absconded with the money

458
00:26:39,040 --> 00:26:41,639
Speaker 1: and ghosted the funk out of this man and ast

459
00:26:41,680 --> 00:26:44,400
Speaker 1: off this The veteran said he was in such despair

460
00:26:44,760 --> 00:26:47,000
Speaker 1: he didn't know if he could live any longer. He

461
00:26:47,119 --> 00:26:49,960
Speaker 1: was had some really dark ideation and then he realized

462
00:26:50,000 --> 00:26:51,919
Speaker 1: he did not want to abandon the dog, and that

463
00:26:52,000 --> 00:26:55,600
Speaker 1: was the only thing keeping him going. Eventually, the dog

464
00:26:55,880 --> 00:26:58,600
Speaker 1: had to be euthanized. And this was the quote that

465
00:26:58,640 --> 00:27:00,600
Speaker 1: this guy said, we talked about much. He loved the

466
00:27:00,640 --> 00:27:04,360
Speaker 1: dog quote. I love that dog so much. I inhaled

467
00:27:04,400 --> 00:27:09,200
Speaker 1: her last breaths when I had her euthanized. So that's

468
00:27:09,800 --> 00:27:12,360
Speaker 1: this is the kind of you know, this is This

469
00:27:12,440 --> 00:27:15,080
Speaker 1: is like low hanging fruit to this con man who's like,

470
00:27:15,119 --> 00:27:17,320
Speaker 1: oh yeah, yeah, yeah, I'm gonna I'll use this guy

471
00:27:17,359 --> 00:27:21,199
Speaker 1: in this situation to take my three thousand dollars. And

472
00:27:21,280 --> 00:27:25,520
Speaker 1: when Santos Devolder, Hermianee or whatever was reached for comment,

473
00:27:25,800 --> 00:27:27,639
Speaker 1: he said it was all it's all fake that you

474
00:27:27,680 --> 00:27:30,920
Speaker 1: can't prove anything, but they have text messages that clearly

475
00:27:30,920 --> 00:27:35,440
Speaker 1: show Devolder, Santos Ficario or whatever his name is, telling

476
00:27:35,520 --> 00:27:38,680
Speaker 1: austuff that the dog was not a candidate for the surgery,

477
00:27:38,720 --> 00:27:40,960
Speaker 1: so the money would go to the next animal, a

478
00:27:41,119 --> 00:27:44,760
Speaker 1: k A. His bills. Oh not to be like such

479
00:27:44,840 --> 00:27:46,800
Speaker 1: a white person, but can we just kill him for that?

480
00:27:48,800 --> 00:27:50,800
Speaker 1: I was actually gonna put a joke in there about him, like,

481
00:27:50,840 --> 00:27:53,160
Speaker 1: and I know this is gonna resonate with white people

482
00:27:53,280 --> 00:27:57,119
Speaker 1: because dogs human beings is one thing. But man, you

483
00:27:57,119 --> 00:28:01,359
Speaker 1: hear about a puppy meal mill or some ship y'all organized, Yeah,

484
00:28:01,440 --> 00:28:04,359
Speaker 1: I'm done with him. That's it. Last. That's that's why

485
00:28:04,400 --> 00:28:07,520
Speaker 1: I included that sentence about inhaling the last breaths, because

486
00:28:07,560 --> 00:28:10,359
Speaker 1: that's like, I mean, anybody who's had to euthanize an animal,

487
00:28:10,440 --> 00:28:13,439
Speaker 1: that is fucking harrowing, especially when it's up an animal

488
00:28:13,560 --> 00:28:16,240
Speaker 1: you've like, you know, you have grown to love over

489
00:28:16,280 --> 00:28:19,800
Speaker 1: many many years. But anyway, the GOP is seems like

490
00:28:19,840 --> 00:28:23,400
Speaker 1: they are absolutely have no intention of doing anything right now.

491
00:28:23,440 --> 00:28:26,920
Speaker 1: Like McCarthy just gave Santos a bunch of committee assignments.

492
00:28:26,920 --> 00:28:28,919
Speaker 1: He's going to be on the Small Business Committee and

493
00:28:29,000 --> 00:28:33,400
Speaker 1: the House Science, Space and Technology Committee what so there's that,

494
00:28:34,280 --> 00:28:36,560
Speaker 1: But it is interesting to just see like what this

495
00:28:36,640 --> 00:28:39,440
Speaker 1: is going to the momentum that carries on from having

496
00:28:39,480 --> 00:28:43,640
Speaker 1: somebody who's this you know, fucking foul on on his

497
00:28:43,800 --> 00:28:46,000
Speaker 1: on the surface, and many other people are just as

498
00:28:46,040 --> 00:28:48,120
Speaker 1: bad as he is, but like on the surface, like

499
00:28:48,240 --> 00:28:52,480
Speaker 1: this transparently, you know, insincere, but you know it's weird

500
00:28:52,520 --> 00:28:54,560
Speaker 1: to me because I'm I'm not a rich person, but

501
00:28:54,600 --> 00:28:57,320
Speaker 1: even I know that three thousand dollars is a pathetic

502
00:28:57,320 --> 00:29:00,280
Speaker 1: amount of money to steal, Like what, what's the what

503
00:29:00,480 --> 00:29:04,480
Speaker 1: is that? That's a month maybe two. That's always something

504
00:29:04,520 --> 00:29:07,440
Speaker 1: that pops up in my head whenever you're reading about

505
00:29:07,480 --> 00:29:11,040
Speaker 1: this ship, Like we were talking about the Murdoch the

506
00:29:11,120 --> 00:29:14,880
Speaker 1: Murdoch Murdoch murders, like the guy who like killed his

507
00:29:15,520 --> 00:29:18,160
Speaker 1: might allegedly killed his son and wife and is going

508
00:29:18,160 --> 00:29:21,360
Speaker 1: on trial, and like was had this like long history

509
00:29:21,760 --> 00:29:27,040
Speaker 1: of siphoning money from payouts to people who needed the money.

510
00:29:27,040 --> 00:29:29,760
Speaker 1: And there there are some points in there where it's

511
00:29:29,800 --> 00:29:31,840
Speaker 1: like small amounts of money and this person is a

512
00:29:31,960 --> 00:29:36,080
Speaker 1: multi multimillionaire, but like that never seems to factor in.

513
00:29:36,160 --> 00:29:38,640
Speaker 1: It's like, well, yeah, I got to be a multi

514
00:29:38,720 --> 00:29:42,040
Speaker 1: multi millionaire because of how much I like money, and

515
00:29:42,560 --> 00:29:45,520
Speaker 1: that is not changing the more money I get. It

516
00:29:45,600 --> 00:29:47,680
Speaker 1: turns out, did any of you grow up with friends

517
00:29:47,720 --> 00:29:53,360
Speaker 1: that loved to steal ship? Yeah, yeah, you know, like

518
00:29:53,880 --> 00:29:57,160
Speaker 1: I've I grew up with people like that, and some

519
00:29:57,320 --> 00:29:59,640
Speaker 1: of them they don't give a fuck what it is.

520
00:29:59,800 --> 00:30:02,000
Speaker 1: It's just the fact that they can come up, which

521
00:30:02,080 --> 00:30:05,520
Speaker 1: is the thrill, Like anything's that come up. They're like, yo,

522
00:30:05,840 --> 00:30:09,200
Speaker 1: I just got this. I got this butterfly earrings from Claire's.

523
00:30:09,280 --> 00:30:10,800
Speaker 1: I'm like, the funk are you gonna do with that?

524
00:30:10,840 --> 00:30:12,600
Speaker 1: It's like they didn't see me take that ship. I'm like,

525
00:30:12,680 --> 00:30:15,320
Speaker 1: this doesn't even make sense, Like I think on some level,

526
00:30:15,400 --> 00:30:18,360
Speaker 1: some people like it's a compulsion where it doesn't matter.

527
00:30:18,400 --> 00:30:20,560
Speaker 1: They're like, oh, this is easy. That's three that's three

528
00:30:20,560 --> 00:30:22,840
Speaker 1: grand right there. Oh this person, that's that, that's this,

529
00:30:22,960 --> 00:30:26,000
Speaker 1: that's this, And it's probably like a video game. Sometimes

530
00:30:26,000 --> 00:30:28,400
Speaker 1: you fight the big boss level characters and that's a

531
00:30:28,400 --> 00:30:30,959
Speaker 1: big payday. But sometimes just jump on the little mushroom,

532
00:30:30,960 --> 00:30:34,680
Speaker 1: look at motherfucker's and keep it moving. That's interesting. I

533
00:30:34,720 --> 00:30:37,280
Speaker 1: don't know, I'm just just some I don't know that's

534
00:30:37,280 --> 00:30:39,360
Speaker 1: something I stopped from my experience, or to your point,

535
00:30:39,360 --> 00:30:41,440
Speaker 1: you're like, why that doesn't even make sense to even

536
00:30:41,480 --> 00:30:44,200
Speaker 1: take like you have money and you don't need this thing.

537
00:30:44,240 --> 00:30:47,480
Speaker 1: But it's like, no, that's the fact that I could. Yeah, yeah,

538
00:30:47,600 --> 00:30:50,400
Speaker 1: I suppose. So this guy, this Santos, he seems like

539
00:30:50,480 --> 00:30:53,800
Speaker 1: really old timey to me. There's something old timy about

540
00:30:53,800 --> 00:30:56,320
Speaker 1: his stands, like he's a little confused, like giving people

541
00:30:56,360 --> 00:30:58,440
Speaker 1: the wrong name worked a hundred and thirty years ago,

542
00:31:00,360 --> 00:31:03,000
Speaker 1: giving people the wrong name, and then like becoming a

543
00:31:03,120 --> 00:31:07,840
Speaker 1: public figure, like is this modern world is just so brazen?

544
00:31:07,920 --> 00:31:11,160
Speaker 1: And yes, it does suggest an out of controlledness, like

545
00:31:11,200 --> 00:31:15,440
Speaker 1: a an inability to even like look one step down

546
00:31:15,520 --> 00:31:18,800
Speaker 1: the road, let alone like two three at the consequences

547
00:31:18,800 --> 00:31:21,760
Speaker 1: of your actions. There was a really interesting clip of

548
00:31:21,800 --> 00:31:25,040
Speaker 1: like I think it was Anthony, Like he was at

549
00:31:25,120 --> 00:31:28,360
Speaker 1: some like Republican meeting and the guy introducing him he's

550
00:31:28,400 --> 00:31:30,680
Speaker 1: like George Santos. He's like, I mean I know him

551
00:31:30,720 --> 00:31:34,920
Speaker 1: as Anthony Devolder, but all right, uh George, and like

552
00:31:34,960 --> 00:31:36,560
Speaker 1: and then brought him up still and even like I

553
00:31:36,600 --> 00:31:38,800
Speaker 1: was like, bro, I thought you were Anthony, Okay, this

554
00:31:38,880 --> 00:31:42,960
Speaker 1: George Santos, And they kept it moving because at the

555
00:31:43,040 --> 00:31:45,680
Speaker 1: end of the day, it's all about powers. Why McCarthy

556
00:31:45,760 --> 00:31:47,520
Speaker 1: is not gonna do anything he needs asses in the

557
00:31:47,560 --> 00:31:50,280
Speaker 1: seats on these committees and who cares if some guy

558
00:31:50,320 --> 00:31:53,560
Speaker 1: who you quite literally don't even know like who or

559
00:31:53,600 --> 00:31:58,440
Speaker 1: what he's about, is representing you. But yeah, this is

560
00:31:58,480 --> 00:32:01,480
Speaker 1: all I can like again, can you imagine the people

561
00:32:01,480 --> 00:32:03,360
Speaker 1: that see this and like I'm a better liar than

562
00:32:03,400 --> 00:32:07,160
Speaker 1: this asshole? Yeah, it must be so demoralizing for them

563
00:32:07,280 --> 00:32:09,520
Speaker 1: or they're like, shit, I could be a senator? What

564
00:32:09,560 --> 00:32:12,560
Speaker 1: the fund is this? Like, I do have to say,

565
00:32:12,600 --> 00:32:15,400
Speaker 1: I think it's interesting that it's okay for the veteran

566
00:32:15,440 --> 00:32:18,560
Speaker 1: to say he inhaled his dog's last breath. But when

567
00:32:18,600 --> 00:32:21,000
Speaker 1: I tell you, Miles that if you go before me,

568
00:32:21,080 --> 00:32:24,280
Speaker 1: I want to inhale your last breath into my lungs,

569
00:32:24,480 --> 00:32:26,880
Speaker 1: that it's like weird and has to be removed from

570
00:32:26,880 --> 00:32:29,000
Speaker 1: the show. Well, it's that because you're probably going to

571
00:32:29,120 --> 00:32:30,960
Speaker 1: force her majesty out of the room where it was

572
00:32:30,960 --> 00:32:33,800
Speaker 1: happening to be like, I'm gonna inhale his last breaths,

573
00:32:33,920 --> 00:32:37,560
Speaker 1: not the wife. I just think it's a beautiful metaphor

574
00:32:38,080 --> 00:32:40,680
Speaker 1: I know. And that ship, Honestly, that ship sucked me up.

575
00:32:40,680 --> 00:32:43,440
Speaker 1: When I read that. That chilled me to my core

576
00:32:44,080 --> 00:32:46,640
Speaker 1: because I remember, man, I had to put my Dalmatian

577
00:32:46,640 --> 00:32:49,240
Speaker 1: down when I was like sixteen, and it's a dog.

578
00:32:49,240 --> 00:32:51,040
Speaker 1: There's like the first dog I ever had, Like I was,

579
00:32:51,120 --> 00:32:52,480
Speaker 1: it was like that dog when you're kid like I

580
00:32:52,440 --> 00:32:53,960
Speaker 1: want to pup, you want to pup, you want a puppy,

581
00:32:54,040 --> 00:32:56,560
Speaker 1: and then you get your puppy and then that ship

582
00:32:56,680 --> 00:32:59,880
Speaker 1: only went about like ten years, eleven years, and putting

583
00:33:00,120 --> 00:33:03,240
Speaker 1: euthanizing was like I'm still like, it's like the worst

584
00:33:03,520 --> 00:33:05,880
Speaker 1: one of it was just so harrowing to watch your

585
00:33:05,920 --> 00:33:08,280
Speaker 1: dog like quite just watch the like life go out.

586
00:33:09,320 --> 00:33:12,720
Speaker 1: It's it's it's very difficult. Yeah, no, it doesn't. Yeah

587
00:33:12,800 --> 00:33:16,160
Speaker 1: I did. I was at work with you guys, Miles

588
00:33:16,280 --> 00:33:19,480
Speaker 1: in the office when her dog Finn like had to

589
00:33:19,520 --> 00:33:22,920
Speaker 1: be euthanized unexpectedly, and like I was on FaceTime. I

590
00:33:22,960 --> 00:33:25,160
Speaker 1: came out. I was just like I was like bawling,

591
00:33:25,480 --> 00:33:29,320
Speaker 1: you know, I know, and and I think we're all like, dude,

592
00:33:29,320 --> 00:33:32,360
Speaker 1: don't come in bro, you know, well I didn't know

593
00:33:32,520 --> 00:33:35,760
Speaker 1: that that's what was that like it he had been

594
00:33:35,760 --> 00:33:37,480
Speaker 1: to the vet, like, oh, you know what I think

595
00:33:37,840 --> 00:33:39,720
Speaker 1: times I think what I'm revealing is something I was

596
00:33:39,760 --> 00:33:42,000
Speaker 1: telling Anna on the side, I'm like he should he

597
00:33:42,360 --> 00:33:46,360
Speaker 1: should go man, he going through it right now, and

598
00:33:46,400 --> 00:33:47,880
Speaker 1: I was like, all right, she al must go on.

599
00:33:50,280 --> 00:33:53,360
Speaker 1: Then I just wept through that episode. Yeaheah. People don't

600
00:33:53,360 --> 00:33:55,720
Speaker 1: even know. I mean, try and look back maybe'll. I mean,

601
00:33:55,720 --> 00:33:58,120
Speaker 1: to be fair, we sound like we're weeping or something

602
00:33:58,160 --> 00:34:02,200
Speaker 1: going on emotionally in most episode. Yeah, alright, let's talk

603
00:34:02,200 --> 00:34:06,440
Speaker 1: about autopilot. Tesla's autopilot demo that I think gave the

604
00:34:06,480 --> 00:34:09,680
Speaker 1: world a lot of faith in self driving cars, that

605
00:34:09,680 --> 00:34:14,840
Speaker 1: they're just around the corner was actually faked, so a

606
00:34:14,840 --> 00:34:17,239
Speaker 1: couple of things were happening. I'll just play this in

607
00:34:17,280 --> 00:34:19,880
Speaker 1: the background so people, yeah, well, we'll, we'll, we'll be

608
00:34:19,880 --> 00:34:23,359
Speaker 1: playing it. But it's the video where the car is

609
00:34:24,080 --> 00:34:28,760
Speaker 1: navigating a real road, nobody's touching anything. That just pulls

610
00:34:28,840 --> 00:34:31,880
Speaker 1: up somewhere parallel parks, which we do know that cars

611
00:34:32,160 --> 00:34:34,440
Speaker 1: have been able to do. But Elon Musk was like,

612
00:34:34,840 --> 00:34:37,279
Speaker 1: the person is only there for legal reasons, Like this

613
00:34:37,320 --> 00:34:41,400
Speaker 1: car was completely driving itself. But they had made a detailed,

614
00:34:41,400 --> 00:34:45,359
Speaker 1: three D mapped model of the route that the car

615
00:34:45,400 --> 00:34:49,880
Speaker 1: had taken and pre programmed it too, you know, follow

616
00:34:49,960 --> 00:34:53,359
Speaker 1: this path and you know it make sure that nothing

617
00:34:53,440 --> 00:34:57,560
Speaker 1: unexpected was going to happen, and somebody was that the

618
00:34:57,560 --> 00:35:01,960
Speaker 1: car did not have the ability to deal with traffic lights,

619
00:35:02,080 --> 00:35:05,839
Speaker 1: so somebody was having to do the acceleration and deceleration

620
00:35:05,920 --> 00:35:10,359
Speaker 1: around traffic lights, which they didn't mention. And that's kind

621
00:35:10,360 --> 00:35:11,799
Speaker 1: of a that's kind of a big one since they

622
00:35:11,800 --> 00:35:15,200
Speaker 1: still haven't really figured that one out. Yeah, like just

623
00:35:15,440 --> 00:35:18,799
Speaker 1: satisfactory degree or that video we saw of like the

624
00:35:18,840 --> 00:35:21,640
Speaker 1: one like stopping and like I think that like one

625
00:35:21,640 --> 00:35:23,680
Speaker 1: of the Bay Bridge or something in San Francisco caused

626
00:35:23,719 --> 00:35:28,080
Speaker 1: a pile up and you're like, yeah, that should works. Huh. Yeah,

627
00:35:28,239 --> 00:35:30,120
Speaker 1: So what they did was this a video that they

628
00:35:30,120 --> 00:35:33,320
Speaker 1: made for consumers or investors or both. It was the

629
00:35:33,200 --> 00:35:36,080
Speaker 1: the Tesla website. Yeah, so anybody, I must tweeted it

630
00:35:36,120 --> 00:35:38,759
Speaker 1: out and said this is this is real. This is

631
00:35:38,760 --> 00:35:41,040
Speaker 1: a car driving by itself. The person is only there

632
00:35:41,080 --> 00:35:45,480
Speaker 1: for legal reasons. But so they faked the results of

633
00:35:45,680 --> 00:35:48,680
Speaker 1: what their products can do. So that's what the haters

634
00:35:48,719 --> 00:35:53,040
Speaker 1: are saying. But in reality, what they were doing was

635
00:35:53,520 --> 00:35:59,440
Speaker 1: showing what was possible to build the system. So even

636
00:35:59,560 --> 00:36:03,360
Speaker 1: that like best case, brightest book scenario is still exactly

637
00:36:03,360 --> 00:36:05,400
Speaker 1: what Sarino has got in trouble for doing this. It

638
00:36:05,480 --> 00:36:07,800
Speaker 1: is like my ultimate point all the time. If Elizabeth

639
00:36:07,800 --> 00:36:09,560
Speaker 1: Holmes has to go to jail, they all got to

640
00:36:09,560 --> 00:36:11,760
Speaker 1: go to jail. They all do the exact same stuff.

641
00:36:11,800 --> 00:36:14,840
Speaker 1: She just was a woman doing it. That's so wild

642
00:36:14,840 --> 00:36:18,360
Speaker 1: that like with white supremacy, like misogyny still is a factor.

643
00:36:18,560 --> 00:36:21,200
Speaker 1: Is that like white won't always protect you exactly. Men

644
00:36:21,239 --> 00:36:24,200
Speaker 1: are good. Look at Elizabeth Holmes is ass but this

645
00:36:24,239 --> 00:36:26,479
Speaker 1: guy out here being like, I'm just trying to show

646
00:36:26,480 --> 00:36:29,200
Speaker 1: you what I think this ship could too, and I'm

647
00:36:29,320 --> 00:36:33,120
Speaker 1: dreaming it. Yeah, she was in the medical industry, so

648
00:36:33,120 --> 00:36:36,160
Speaker 1: people worry about the deaths caused by her product, which

649
00:36:36,200 --> 00:36:40,400
Speaker 1: didn't ever happen. This guy like Tesla's have caused actual deaths.

650
00:36:40,440 --> 00:36:43,279
Speaker 1: Like he's doing more danger. Why isn't he and jail?

651
00:36:43,320 --> 00:36:44,680
Speaker 1: I know why he's not in jail. But I just

652
00:36:44,719 --> 00:36:46,680
Speaker 1: I've got to think about Elizabeth Holmes. I think she

653
00:36:47,160 --> 00:36:50,600
Speaker 1: did almost nothing wrong and she's not good to jail, right, Hey,

654
00:36:50,640 --> 00:36:54,480
Speaker 1: she's confident, you know what I mean, He's confident like that. Yeah,

655
00:36:54,560 --> 00:36:56,640
Speaker 1: I mean to your point, he should be all or not. Katherine, Like,

656
00:36:56,680 --> 00:36:59,880
Speaker 1: if we're throwing her that every other Holmes I and motherfucker,

657
00:37:00,120 --> 00:37:02,880
Speaker 1: it's we gotta follow the by the letter, thank you,

658
00:37:03,040 --> 00:37:05,839
Speaker 1: thank you. This quote that they were you know, they

659
00:37:05,840 --> 00:37:09,200
Speaker 1: weren't cheating on the math tests, they were doing something

660
00:37:09,239 --> 00:37:15,440
Speaker 1: to represent their mathematical potential actually actually came from a

661
00:37:15,600 --> 00:37:20,239
Speaker 1: Tesla employee, like somebody who you know, was working on

662
00:37:20,280 --> 00:37:23,960
Speaker 1: the project had information about what was going on. They

663
00:37:24,080 --> 00:37:29,120
Speaker 1: couldn't remember, gosh my damn memory, couldn't remember if the

664
00:37:29,160 --> 00:37:32,000
Speaker 1: person in the driver's seat was the one who actually

665
00:37:32,040 --> 00:37:35,880
Speaker 1: controlled any acceleration or breaking or if the car did it.

666
00:37:36,280 --> 00:37:41,319
Speaker 1: But that's a pretty important component of driving. Yeah, it's

667
00:37:41,400 --> 00:37:44,680
Speaker 1: up there. Yeah, but yeah, yeah, I think it is

668
00:37:44,719 --> 00:37:47,760
Speaker 1: wild because this is like, this is someone from Tesla

669
00:37:47,920 --> 00:37:50,600
Speaker 1: versus everybody from the outside who was being like this

670
00:37:50,640 --> 00:37:53,239
Speaker 1: is They're like, this thing is rife with problems there

671
00:37:53,239 --> 00:37:55,960
Speaker 1: probably bullshit, but it was always able to be like, well,

672
00:37:56,200 --> 00:37:58,640
Speaker 1: you're not in there, so what do you know? And

673
00:37:58,680 --> 00:38:01,839
Speaker 1: they're backing away from this world of the Iron Man

674
00:38:02,120 --> 00:38:06,919
Speaker 1: Elon Musk is Tony Stark world where technology, through technology

675
00:38:07,000 --> 00:38:10,279
Speaker 1: all is possible, into into a world where it's like

676
00:38:10,320 --> 00:38:13,520
Speaker 1: the self driving technology that everyone thinks is just around

677
00:38:13,560 --> 00:38:16,719
Speaker 1: the corner turns out is much further off and a

678
00:38:16,760 --> 00:38:19,320
Speaker 1: lot of people think they should actually abandon it because

679
00:38:19,760 --> 00:38:24,120
Speaker 1: the road is a crazy, unpredictable place at all times.

680
00:38:24,600 --> 00:38:28,080
Speaker 1: And like these motherfuckers still don't seem to be good

681
00:38:28,080 --> 00:38:31,160
Speaker 1: with traffic lights, Like that is a light that is

682
00:38:31,200 --> 00:38:34,880
Speaker 1: always in the same place. It's one of three colors. Yeah,

683
00:38:35,200 --> 00:38:38,120
Speaker 1: they had to create a fake video to pretend otherwise,

684
00:38:38,480 --> 00:38:41,640
Speaker 1: So I don't know. Someday a driver list Tesla is

685
00:38:41,640 --> 00:38:45,440
Speaker 1: going to crash into a driver Tesla and kill the

686
00:38:45,520 --> 00:38:48,400
Speaker 1: driver and then the Tesla fans won't know what to

687
00:38:48,400 --> 00:38:51,840
Speaker 1: do with themselves. Yeah, they'll just hold water for Tesla.

688
00:38:51,880 --> 00:38:55,080
Speaker 1: I think whatever they'll find, they won't know until Tesla

689
00:38:55,120 --> 00:38:57,400
Speaker 1: issues a statement and then they'll be like, Ah, that's

690
00:38:57,560 --> 00:39:01,840
Speaker 1: that's actually do that. That's the other thing that you

691
00:39:01,840 --> 00:39:04,239
Speaker 1: always here for the fans Like, dude the board force

692
00:39:04,360 --> 00:39:06,680
Speaker 1: his hand on that one man, so how he really thinks?

693
00:39:08,000 --> 00:39:09,760
Speaker 1: You know? This is a This is a true story.

694
00:39:09,840 --> 00:39:11,520
Speaker 1: A Friday night, I had just gone to bed. I

695
00:39:11,600 --> 00:39:13,520
Speaker 1: woke up because I heard what sounded like a car

696
00:39:13,560 --> 00:39:15,960
Speaker 1: crashing into a bunch of car garbage cans and went

697
00:39:15,960 --> 00:39:18,200
Speaker 1: outside to see if anyone needed an ambulance. It was

698
00:39:18,239 --> 00:39:20,840
Speaker 1: actually a car that had driven into my neighbor's house

699
00:39:21,719 --> 00:39:24,719
Speaker 1: and yeah, and it was a Tesla and a lot

700
00:39:24,760 --> 00:39:26,879
Speaker 1: of horrible things happened like at that moment, and then

701
00:39:26,880 --> 00:39:29,160
Speaker 1: he like backed out and ran over a person. It

702
00:39:29,200 --> 00:39:31,799
Speaker 1: was chaos. But through this all I was like, of

703
00:39:31,840 --> 00:39:35,280
Speaker 1: course it's a tesla. My friend saw this on the news,

704
00:39:35,520 --> 00:39:37,640
Speaker 1: didn't know I was there, and I texted her about

705
00:39:37,640 --> 00:39:38,920
Speaker 1: it and she's like, oh my god, of course it

706
00:39:39,000 --> 00:39:41,680
Speaker 1: was a tesla. They have like there's something going on

707
00:39:41,719 --> 00:39:44,640
Speaker 1: with tesla drivers. Over all, there's like a problem here.

708
00:39:44,760 --> 00:39:47,520
Speaker 1: I know what confirmation biases, but like even within that,

709
00:39:47,600 --> 00:39:52,560
Speaker 1: like you're right, that's right, that's right. Yeah, that's science.

710
00:39:52,600 --> 00:39:56,000
Speaker 1: I believe. I think we can say that. I mean,

711
00:39:56,040 --> 00:39:59,359
Speaker 1: I know there's so many people that I like, like

712
00:39:59,560 --> 00:40:01,279
Speaker 1: kids I went to high school with the like I

713
00:40:01,320 --> 00:40:04,839
Speaker 1: follow like loosely on social media or something where there's

714
00:40:04,880 --> 00:40:06,520
Speaker 1: one guy I know as a tesla and he's like

715
00:40:06,600 --> 00:40:10,279
Speaker 1: the biggest fucking nerd about it, and he's like like

716
00:40:10,360 --> 00:40:13,080
Speaker 1: eating and it's on auto like just always wants it

717
00:40:13,120 --> 00:40:16,640
Speaker 1: to be on autopilot. And I'm like, you know, your

718
00:40:16,640 --> 00:40:19,799
Speaker 1: obituary may show up eventually, but like they're there's such

719
00:40:19,840 --> 00:40:22,600
Speaker 1: a culture of people just stutting on the autopilot that

720
00:40:22,680 --> 00:40:25,000
Speaker 1: I'm like, well, I wonder what the real numbers look

721
00:40:25,080 --> 00:40:30,480
Speaker 1: like with horrific accidents. Seriously, Yeah, and it is just

722
00:40:31,120 --> 00:40:33,960
Speaker 1: I don't know. Another another thing, like I think the

723
00:40:34,000 --> 00:40:36,960
Speaker 1: future is not all these things that we think are

724
00:40:37,000 --> 00:40:40,560
Speaker 1: gonna have, like self driving technology and stuff like I

725
00:40:40,600 --> 00:40:46,240
Speaker 1: think what I realized the longer, like we try stuff

726
00:40:46,280 --> 00:40:50,640
Speaker 1: like this is that like the human mind is incredible

727
00:40:50,760 --> 00:40:53,720
Speaker 1: and vast, and like we only have a small inkling

728
00:40:53,760 --> 00:40:57,000
Speaker 1: of understanding of like how powerful it is. Like these

729
00:40:57,080 --> 00:41:00,000
Speaker 1: articles are always like, yeah, you don't want to trust

730
00:41:00,080 --> 00:41:02,800
Speaker 1: the computer, but you want to trust humans. They're idiots,

731
00:41:02,800 --> 00:41:05,760
Speaker 1: they mess up all the time, and that that's true,

732
00:41:05,800 --> 00:41:09,480
Speaker 1: but it's like you you haven't like even come close

733
00:41:09,600 --> 00:41:13,680
Speaker 1: to approaching like just all the ship that is happening

734
00:41:14,160 --> 00:41:17,160
Speaker 1: driving is crazy, Like it's crazy that we're able to

735
00:41:17,200 --> 00:41:19,279
Speaker 1: just drive and not really think about it that much.

736
00:41:19,360 --> 00:41:21,839
Speaker 1: Like no, no, it makes no sense. It's too much

737
00:41:21,880 --> 00:41:25,359
Speaker 1: power from one person. Also, I thought that all the

738
00:41:25,400 --> 00:41:27,560
Speaker 1: type of guys who would be obsessed with Tesla would

739
00:41:27,560 --> 00:41:29,720
Speaker 1: have also seen the movie two thousand one in Space

740
00:41:29,800 --> 00:41:34,839
Speaker 1: Odyssey where the computer turns evil. So don't they know

741
00:41:35,040 --> 00:41:39,080
Speaker 1: that the computers hate us. No, no, no, what's that?

742
00:41:39,880 --> 00:41:44,520
Speaker 1: They were like, we're a team. How Actually it was

743
00:41:44,560 --> 00:41:48,560
Speaker 1: actually shipping how and the alien species, but they were

744
00:41:48,600 --> 00:41:53,520
Speaker 1: tuning and a little disappointed. I thought that was the

745
00:41:53,600 --> 00:41:58,680
Speaker 1: inherent tragedy of that movie. My biggest sci fi bays

746
00:41:58,680 --> 00:42:04,640
Speaker 1: How and skye At love them together. That's right, all right,

747
00:42:04,760 --> 00:42:17,840
Speaker 1: let's take a quick break. We'll be right back. And

748
00:42:17,880 --> 00:42:23,080
Speaker 1: we're back, And Dolly Parton is trending as per usual,

749
00:42:23,920 --> 00:42:27,200
Speaker 1: but this time a couple of reasons. She's expanding her

750
00:42:27,239 --> 00:42:31,280
Speaker 1: partnership with Duncan Hines. So in addition to the Dolly

751
00:42:31,360 --> 00:42:37,279
Speaker 1: Parton cake mixes, now there's cornbread, biscuit and to brownie mixes. Nice. Nice, nice.

752
00:42:37,719 --> 00:42:40,360
Speaker 1: I don't I don't know. I guess I'm not familiar

753
00:42:40,400 --> 00:42:45,000
Speaker 1: with the culinary aspects of Dolly Parton's legend. Are are you, Catherine?

754
00:42:45,080 --> 00:42:48,040
Speaker 1: What what does that? What does Dolly Parton connote like

755
00:42:48,160 --> 00:42:50,880
Speaker 1: southern southern cooking? Yeah, I mean that's got to be

756
00:42:50,920 --> 00:42:57,440
Speaker 1: why they have Did you say to cornbreads to brownies? Actually?

757
00:42:57,640 --> 00:43:02,680
Speaker 1: And did I hear that correctly? Was that too and bread? Indeed?

758
00:43:02,760 --> 00:43:05,440
Speaker 1: It was? Anyway? Yeah, I don't think her her legacy

759
00:43:05,520 --> 00:43:07,920
Speaker 1: really has much to do with food, but putting her

760
00:43:07,960 --> 00:43:11,200
Speaker 1: name on box mixes sounds like a smart idea for

761
00:43:11,239 --> 00:43:14,399
Speaker 1: both parties because everyone loves Dolly. Oh my god. They

762
00:43:14,800 --> 00:43:18,120
Speaker 1: look at the box. That's like Barbie branding. I know,

763
00:43:18,280 --> 00:43:22,040
Speaker 1: it looks they've animated her. The script is very barbiesque.

764
00:43:22,120 --> 00:43:24,799
Speaker 1: It's a little infantilizing. She looks like JM and the

765
00:43:24,840 --> 00:43:30,480
Speaker 1: Holy Jam in the hologram. Yeah yeah, oh sorry, not

766
00:43:30,560 --> 00:43:34,120
Speaker 1: to cornbread, cornbread and a biscuit. Yeah, bad bread, a

767
00:43:34,160 --> 00:43:37,399
Speaker 1: biscuit and two brownies. That's in addition to the cake

768
00:43:37,480 --> 00:43:40,560
Speaker 1: mixes that were already there. I'm picturing everything being pink,

769
00:43:40,640 --> 00:43:43,400
Speaker 1: and indeed the boxes are pink, but the brownies they've

770
00:43:43,640 --> 00:43:47,120
Speaker 1: decided to keep a colored How different is this from

771
00:43:47,120 --> 00:43:50,200
Speaker 1: other Duncan Hinds mixes? Oh please, you known to be

772
00:43:50,239 --> 00:43:52,799
Speaker 1: the exact same thing, just with new packaging on it.

773
00:43:53,000 --> 00:43:54,799
Speaker 1: Just But the reason why it's good for her too,

774
00:43:54,840 --> 00:43:57,399
Speaker 1: it's because there's no downside because box mixes are very

775
00:43:57,520 --> 00:44:00,480
Speaker 1: very good. Yeah, they they're unfunk up bowl if you

776
00:44:00,680 --> 00:44:02,680
Speaker 1: if you go by the letter of the lawn, it

777
00:44:02,760 --> 00:44:06,040
Speaker 1: is what capitalism has produced. Like we you know, the

778
00:44:06,360 --> 00:44:09,840
Speaker 1: none of the you know, transportation and all those things

779
00:44:09,880 --> 00:44:13,480
Speaker 1: like great towns that we were promised. They fucked all

780
00:44:13,480 --> 00:44:17,040
Speaker 1: that up. We now live siloed off in our homes,

781
00:44:17,080 --> 00:44:21,000
Speaker 1: like talking to each other through computer screens. But the

782
00:44:21,120 --> 00:44:24,000
Speaker 1: lab food, the food that they came up with in labs,

783
00:44:24,280 --> 00:44:29,279
Speaker 1: nacho cheese, doritos, the box mixes like that is that

784
00:44:29,440 --> 00:44:32,120
Speaker 1: is the height of capitalism. That's why I still stand

785
00:44:32,160 --> 00:44:35,000
Speaker 1: by you know, one of the things that is going

786
00:44:35,040 --> 00:44:39,760
Speaker 1: to be in the America like Peak American Capitalism section

787
00:44:39,960 --> 00:44:43,600
Speaker 1: of the museum, like four thousand years from now, if

788
00:44:43,840 --> 00:44:48,880
Speaker 1: the Earth still exists, is the Cheesecake Factory menu, because

789
00:44:48,920 --> 00:44:52,839
Speaker 1: that was like, like, we did that, We did that.

790
00:44:54,040 --> 00:44:56,000
Speaker 1: It really did not funk around when it came to

791
00:44:56,480 --> 00:45:02,880
Speaker 1: appropriating and turning sweet at any anything that humanity headed.

792
00:45:03,360 --> 00:45:07,000
Speaker 1: But we digress, We digress album. Yeah, but it is

793
00:45:07,040 --> 00:45:10,719
Speaker 1: true that our best scientific minds are in food labs. Yeah,

794
00:45:10,719 --> 00:45:13,000
Speaker 1: they're they're doing the best work there because those are

795
00:45:13,000 --> 00:45:14,919
Speaker 1: the places that can afford to pay the best and yeah,

796
00:45:14,920 --> 00:45:16,760
Speaker 1: and that's the most those are the most pressing issues

797
00:45:16,760 --> 00:45:21,160
Speaker 1: of our time obviously. So in addition to this exciting

798
00:45:21,640 --> 00:45:26,160
Speaker 1: new collaboration with Duncan Hinds Dolly announced more details about

799
00:45:26,200 --> 00:45:30,360
Speaker 1: her upcoming rock record, so we talked about the story

800
00:45:30,440 --> 00:45:32,239
Speaker 1: that she was inducted to the Rock and Roll Hall

801
00:45:32,280 --> 00:45:36,239
Speaker 1: of Fame withdrew her name from the nominations because she

802
00:45:36,480 --> 00:45:40,600
Speaker 1: didn't consider herself a rock act. They were eventually just like, yeah, sorry,

803
00:45:40,600 --> 00:45:42,759
Speaker 1: we're doing this one way or another. You can show

804
00:45:42,880 --> 00:45:45,480
Speaker 1: up or not. And she said at the time she

805
00:45:45,560 --> 00:45:48,480
Speaker 1: was inspired to one day put out a hopefully great

806
00:45:48,560 --> 00:45:52,160
Speaker 1: rock and roll album, and the details are starting to emerge.

807
00:45:52,239 --> 00:45:56,560
Speaker 1: She got right right to work on it, and it's

808
00:45:56,600 --> 00:46:00,560
Speaker 1: like all it's her. She's treating it like a greatest

809
00:46:00,640 --> 00:46:03,800
Speaker 1: hits album of rock music. She's going to be covering

810
00:46:03,840 --> 00:46:08,040
Speaker 1: Purple Rain, Stairway to Heaven, and Freebird, among others. Yeah,

811
00:46:09,480 --> 00:46:12,319
Speaker 1: She's like, those are good, but I have notes like

812
00:46:12,400 --> 00:46:14,880
Speaker 1: the big swing, that's a big yeah. You sure you

813
00:46:14,880 --> 00:46:16,319
Speaker 1: want to go for a Purple Rain, Dolly? I mean,

814
00:46:16,360 --> 00:46:20,520
Speaker 1: I fun with you. Let's not like, you know, we

815
00:46:20,520 --> 00:46:22,920
Speaker 1: can all we can all be great in our own ways,

816
00:46:23,239 --> 00:46:25,480
Speaker 1: but I am interested. I mean part of me when

817
00:46:25,520 --> 00:46:28,040
Speaker 1: I heard that, I'm like, what, like, what's the most

818
00:46:28,280 --> 00:46:32,439
Speaker 1: rock Dolly parton could sound? You know? And I feel

819
00:46:32,480 --> 00:46:36,920
Speaker 1: like heart kind of vibes like like I would love

820
00:46:36,960 --> 00:46:39,080
Speaker 1: to hear something like crazy on you or something like that.

821
00:46:39,080 --> 00:46:42,000
Speaker 1: That would be fucking wild. But again, but part of

822
00:46:42,000 --> 00:46:44,440
Speaker 1: me is like, fuck it, let's let's see fucking free

823
00:46:44,440 --> 00:46:48,959
Speaker 1: bird do Dolly Parton's free Bird. Yeah, there's also gonna

824
00:46:48,960 --> 00:46:51,880
Speaker 1: be guests such as Stevie Nicks, johnp Forward, Steven Tyler,

825
00:46:51,880 --> 00:46:54,879
Speaker 1: and Paul McCartney. Oh that's it, that's all she could get.

826
00:46:55,680 --> 00:46:59,359
Speaker 1: She's just having a nice time. This is just for

827
00:46:59,360 --> 00:47:01,600
Speaker 1: her to, you know, funk around a little in the

828
00:47:01,600 --> 00:47:04,480
Speaker 1: studio with some pals, right, or is this her like

829
00:47:04,560 --> 00:47:06,880
Speaker 1: also being like ship man, I'm I'm probably making the

830
00:47:06,920 --> 00:47:10,640
Speaker 1: most money I ever had now, like somehow now because

831
00:47:10,680 --> 00:47:13,600
Speaker 1: all of these like deals and like collaborations she's doing.

832
00:47:13,640 --> 00:47:15,560
Speaker 1: I wonder if because she seems so charitable, she's like,

833
00:47:15,600 --> 00:47:18,080
Speaker 1: funck it, man, let me let me ring out the

834
00:47:18,120 --> 00:47:21,160
Speaker 1: fucking sponge that is my brand for every cent, so

835
00:47:21,200 --> 00:47:22,799
Speaker 1: I can go on and do some ship with it

836
00:47:22,840 --> 00:47:25,239
Speaker 1: on the way out and be more philanthropic. Maybe that's

837
00:47:25,680 --> 00:47:27,480
Speaker 1: I love that. I love that idea. Let's go with

838
00:47:27,520 --> 00:47:30,480
Speaker 1: that because it's so nice, Or she's like, no, motherfucker's

839
00:47:30,600 --> 00:47:34,560
Speaker 1: I have a rocket and I'm the funk out of here.

840
00:47:34,600 --> 00:47:39,080
Speaker 1: I'm sorry, y'all. Yeah, it is like that. I did

841
00:47:39,080 --> 00:47:41,080
Speaker 1: have that question when we're talking about George Sanson, was

842
00:47:41,120 --> 00:47:45,359
Speaker 1: like the just the the willingness to change your name,

843
00:47:45,800 --> 00:47:48,560
Speaker 1: like just use a different name with different people, just

844
00:47:48,840 --> 00:47:53,360
Speaker 1: not just completely create your life, like if used for good,

845
00:47:54,120 --> 00:47:56,319
Speaker 1: that could be interesting, and like, I guess there are

846
00:47:56,480 --> 00:48:00,320
Speaker 1: there are people who are you know, equally in INTIV

847
00:48:00,400 --> 00:48:03,080
Speaker 1: who who do use it for good Allah Dolly Parton,

848
00:48:03,400 --> 00:48:06,720
Speaker 1: but it is. She's also going to do a duet

849
00:48:06,719 --> 00:48:10,080
Speaker 1: cover of I Can't Get No Satisfaction in case the

850
00:48:10,560 --> 00:48:13,799
Speaker 1: previous three songs were not clear enough that it's just

851
00:48:14,560 --> 00:48:18,839
Speaker 1: the most played songs on classic rock radio. So I

852
00:48:18,360 --> 00:48:21,359
Speaker 1: do I have to wonder, like I want to hear

853
00:48:21,600 --> 00:48:26,080
Speaker 1: the behind the scenes of her process for making this

854
00:48:26,160 --> 00:48:29,160
Speaker 1: album and was she just here like she just like

855
00:48:29,200 --> 00:48:31,359
Speaker 1: doesn't really funk with rock music. She's like, all right,

856
00:48:31,440 --> 00:48:34,440
Speaker 1: bring me, bring me the best ones, right, I guess,

857
00:48:34,760 --> 00:48:37,200
Speaker 1: And then it's just going through and she's like, Okay,

858
00:48:37,239 --> 00:48:40,160
Speaker 1: get the lots Stacks, but get the Stacks band from

859
00:48:40,200 --> 00:48:43,799
Speaker 1: that record. I'm like, they're all dead man. They could

860
00:48:43,800 --> 00:48:48,520
Speaker 1: play though, who else? Who else? Do I remember? Jimmy Hendrix,

861
00:48:48,760 --> 00:48:53,400
Speaker 1: what's he up to? More bad news? Yeah, I don't know,

862
00:48:53,440 --> 00:48:57,319
Speaker 1: more bad news, more bad news. Dolly's sorry about that? Well,

863
00:48:57,320 --> 00:49:01,239
Speaker 1: speaking of sorry sorry cruise. So we have some bad

864
00:49:01,280 --> 00:49:04,759
Speaker 1: news for Jeopardy because so there there's a little controversy

865
00:49:04,760 --> 00:49:09,160
Speaker 1: around Celebrity Jeopardy, which our writer Jam called the t

866
00:49:09,360 --> 00:49:16,040
Speaker 1: ball of the game show World fair. It's still so

867
00:49:16,360 --> 00:49:21,200
Speaker 1: like the the wolf Blitzer Andy Richter episode. Have you

868
00:49:21,200 --> 00:49:23,640
Speaker 1: guys seen that one? Or like seeing the highlights of

869
00:49:23,680 --> 00:49:27,160
Speaker 1: that Andy Richter is brilliant or you know, just like

870
00:49:27,320 --> 00:49:30,120
Speaker 1: Nat mowing the questions down one after another is like,

871
00:49:30,320 --> 00:49:34,319
Speaker 1: you know, four times ahead of the next closest, and

872
00:49:34,400 --> 00:49:41,080
Speaker 1: wolf Blitzer is revealed to be a full fledged dummy,

873
00:49:41,280 --> 00:49:48,440
Speaker 1: like oh, prompt reader, no facts in that brain, no facts,

874
00:49:48,480 --> 00:49:52,960
Speaker 1: not the first fact in the brain, and missing like

875
00:49:53,040 --> 00:49:59,120
Speaker 1: the easy ones with comically bad answers. It's really key

876
00:49:59,400 --> 00:50:04,080
Speaker 1: and Mr not Mr Incredible that's from the Pixar movie.

877
00:50:04,120 --> 00:50:07,319
Speaker 1: But what's what's the guy from Shark Tank, which one

878
00:50:07,719 --> 00:50:10,320
Speaker 1: Mr Wonderful or Mr you know what I mean, the

879
00:50:10,719 --> 00:50:14,279
Speaker 1: guy who got scammed but wonderful he was also like

880
00:50:14,400 --> 00:50:17,120
Speaker 1: just comically bad. And that's that's what I look for

881
00:50:17,160 --> 00:50:21,799
Speaker 1: in Celebrity Jeopardy is like just these exposures of of

882
00:50:21,960 --> 00:50:27,040
Speaker 1: people who you know, through marketing have elevated this this

883
00:50:27,120 --> 00:50:30,799
Speaker 1: image of themselves and then go up there and just

884
00:50:31,000 --> 00:50:34,719
Speaker 1: can't can't get anything. But some of these questions, I'm

885
00:50:34,880 --> 00:50:39,480
Speaker 1: like this episode like upset, even like the Massholes because

886
00:50:39,560 --> 00:50:42,920
Speaker 1: mass Live was like there were Massachusetts related questions and

887
00:50:42,960 --> 00:50:45,799
Speaker 1: no one could even answer those. This is the one

888
00:50:45,920 --> 00:50:50,640
Speaker 1: the Patton Oswald park the episode that pissed people off.

889
00:50:50,680 --> 00:50:53,960
Speaker 1: Patton Oswald Kansas Parker w n B, a star, great

890
00:50:54,280 --> 00:50:58,240
Speaker 1: NBA commentator, just basketball commentator in general. And then Tory

891
00:50:58,320 --> 00:51:02,280
Speaker 1: de Vito funked up in the question about Field of Dreams.

892
00:51:02,280 --> 00:51:05,080
Speaker 1: I guess it's easy, Like I think I knew it,

893
00:51:05,200 --> 00:51:07,440
Speaker 1: like I guessed the right answer, but I wasn't like

894
00:51:07,520 --> 00:51:10,120
Speaker 1: confident in my guests here, I'll do it for you guys.

895
00:51:10,640 --> 00:51:14,200
Speaker 1: In Field of Dreams, a question is asked, is this Heaven? No,

896
00:51:14,680 --> 00:51:19,760
Speaker 1: it's this Midwestern state also known as the corn State. Yeah,

897
00:51:19,760 --> 00:51:23,920
Speaker 1: what what is? Iowa? Got it? Now? That that is?

898
00:51:24,680 --> 00:51:27,240
Speaker 1: That is both correct and also the level of confidence

899
00:51:27,280 --> 00:51:30,200
Speaker 1: I was taking into my answer, like and the fact

900
00:51:30,200 --> 00:51:32,719
Speaker 1: that people are treating this as news like the It

901
00:51:32,840 --> 00:51:36,960
Speaker 1: spawned multiple articles, each comprised of hundreds of words purely

902
00:51:37,000 --> 00:51:42,200
Speaker 1: about how three celebrities like missed one question is right?

903
00:51:42,960 --> 00:51:46,400
Speaker 1: Just the world we live in set off a thousand ships?

904
00:51:46,480 --> 00:51:49,000
Speaker 1: Oh can I just speaking of how easy these are?

905
00:51:49,120 --> 00:51:51,280
Speaker 1: You know what the other the Massachusetts when they couldn't

906
00:51:51,280 --> 00:51:56,360
Speaker 1: get answer me this brainiacs know that m I T

907
00:51:56,680 --> 00:52:02,160
Speaker 1: stands for this Boston area school. That was the question. Wait,

908
00:52:02,400 --> 00:52:06,399
Speaker 1: what does m I T Boston Area school? Yeah? Wait,

909
00:52:07,400 --> 00:52:10,080
Speaker 1: but that's the the wording is weird, Like so it's

910
00:52:10,120 --> 00:52:13,719
Speaker 1: Massachusetts Institute of Technology, right, yeah, yeah, yeah, but that's

911
00:52:13,719 --> 00:52:15,880
Speaker 1: just what they're just saying. I don't know this is

912
00:52:15,960 --> 00:52:21,440
Speaker 1: that's not good patent. Okay, how about this Jack uh

913
00:52:21,520 --> 00:52:25,960
Speaker 1: incepted in September about fifty migrants from Venezuela. We're surprised

914
00:52:25,960 --> 00:52:30,879
Speaker 1: to find themselves on this Massachusetts resort island. Oh, it's

915
00:52:30,880 --> 00:52:33,520
Speaker 1: either a n antuget or Martha's. It's Martha's finger there,

916
00:52:33,560 --> 00:52:36,759
Speaker 1: it is? What is Martha's fingered? People were like they

917
00:52:36,840 --> 00:52:39,879
Speaker 1: can't get these at all, But I mean those seem

918
00:52:39,960 --> 00:52:44,160
Speaker 1: pretty easy. How our normal jeopardy questions are for someone

919
00:52:44,200 --> 00:52:48,280
Speaker 1: like me constant like I said, the point of Celebrity

920
00:52:48,360 --> 00:52:51,000
Speaker 1: Jeopardy is for us to be able to see in

921
00:52:51,120 --> 00:52:55,600
Speaker 1: broad daylight that celebrities are dumb. You know that we're

922
00:52:55,640 --> 00:52:58,279
Speaker 1: at least they don't exist in the same reality as

923
00:52:58,280 --> 00:53:03,839
Speaker 1: the rest of us anyways. So there's also another thing

924
00:53:03,920 --> 00:53:09,279
Speaker 1: that should have gotten more controversy than that in the

925
00:53:09,360 --> 00:53:12,680
Speaker 1: same So apparently it was like a Kevin Costner category,

926
00:53:12,719 --> 00:53:17,840
Speaker 1: I guess, and so Indigenous Canadian actress and writer Deveri

927
00:53:18,040 --> 00:53:21,280
Speaker 1: Jacobs called out the show on Twitter for a question

928
00:53:21,360 --> 00:53:24,080
Speaker 1: that had absolutely nothing to do with Kevin Costner, although

929
00:53:24,120 --> 00:53:26,759
Speaker 1: I do think it was a reference to the Untouchables.

930
00:53:26,800 --> 00:53:29,880
Speaker 1: So the clue was about the Royal Canadian Mounted Police,

931
00:53:29,960 --> 00:53:32,799
Speaker 1: the Mounties, which the show asserted were created to clean

932
00:53:32,880 --> 00:53:36,480
Speaker 1: up whiskey traders from the United States, But, as Jacob

933
00:53:36,520 --> 00:53:41,640
Speaker 1: pointed out, the RCMP was actually created to quote control

934
00:53:41,719 --> 00:53:45,280
Speaker 1: and assert sovereignty over indigenous people, like that's a quote

935
00:53:45,320 --> 00:53:49,880
Speaker 1: from the first Prime Minister of Canada was like, we

936
00:53:49,920 --> 00:53:54,560
Speaker 1: need a force on horseback that is there too control

937
00:53:55,080 --> 00:53:58,480
Speaker 1: an assert sovereignty over like the Brits are doing to

938
00:53:58,560 --> 00:54:03,319
Speaker 1: the Irish. We want at except for literally Yeah, so

939
00:54:04,000 --> 00:54:07,400
Speaker 1: they were created by Canadian Canada's first Prime Minister, John A.

940
00:54:07,600 --> 00:54:11,719
Speaker 1: McDonald as a colonial army to assert sovereignty over indigenous

941
00:54:11,760 --> 00:54:15,040
Speaker 1: people and their lands, and he says that he got

942
00:54:15,040 --> 00:54:21,279
Speaker 1: the idea from the Royal Irish Constable Constabulary with the

943
00:54:21,400 --> 00:54:24,720
Speaker 1: which the British created to keep the Irish people under control.

944
00:54:25,080 --> 00:54:28,120
Speaker 1: But the Mounties are just you know, they have a

945
00:54:28,160 --> 00:54:30,320
Speaker 1: long history in the U n u s Pop culture

946
00:54:30,440 --> 00:54:35,400
Speaker 1: of being sort of adorable and like like not cops.

947
00:54:35,600 --> 00:54:39,400
Speaker 1: You know, the horrible armed dufas Is who aren't. Yeah,

948
00:54:39,440 --> 00:54:43,520
Speaker 1: they're they're always given sort of a a pass as

949
00:54:43,600 --> 00:54:48,360
Speaker 1: like innocent. Yeah, that's how we think of everything Canadian.

950
00:54:49,120 --> 00:54:51,960
Speaker 1: Yeah right, they're like there's no way they're like wait

951
00:54:52,080 --> 00:54:55,759
Speaker 1: what they're also a colonizer nation that displaced millions of

952
00:54:55,800 --> 00:55:00,560
Speaker 1: Indigenous people. WHOA, I have it in them. We got

953
00:55:00,600 --> 00:55:03,560
Speaker 1: a lot in common, it turns out. But I mean,

954
00:55:03,600 --> 00:55:06,600
Speaker 1: like in my mind right, like they've had such great

955
00:55:06,600 --> 00:55:08,640
Speaker 1: pr to the point that I'm like they're not even

956
00:55:08,640 --> 00:55:11,319
Speaker 1: a real thing. They just dress up and they like

957
00:55:11,480 --> 00:55:14,560
Speaker 1: they it's Dudley do right stuff. But then you're like,

958
00:55:14,800 --> 00:55:18,680
Speaker 1: what was their initial job again? What were they doing us?

959
00:55:19,200 --> 00:55:21,360
Speaker 1: The force of their initial job was to display some

960
00:55:21,440 --> 00:55:24,839
Speaker 1: forceably relocate Indigenous people and eventually to tear children from

961
00:55:24,840 --> 00:55:28,400
Speaker 1: their homes to put in residential schools, which is euphemism

962
00:55:28,520 --> 00:55:33,959
Speaker 1: for like you know, re education, child prison basically. Yeah,

963
00:55:34,640 --> 00:55:37,680
Speaker 1: and then the reservations were basically prisons where you needed

964
00:55:37,680 --> 00:55:41,239
Speaker 1: a pass to leave, were policed by mountees, and the

965
00:55:41,280 --> 00:55:45,160
Speaker 1: Mounties were just like a tool for systemic oppression that

966
00:55:45,280 --> 00:55:49,520
Speaker 1: continues to this day. Mounties routinely target Indigenous communities with

967
00:55:49,600 --> 00:55:54,759
Speaker 1: violence and harassment. And yeah, I mean this myth has

968
00:55:54,800 --> 00:55:58,960
Speaker 1: been perpetuated by pop culture, like Hollywood made movies about

969
00:55:59,000 --> 00:56:01,880
Speaker 1: heroic mounties in the Canadian wilderness, which I was not

970
00:56:01,960 --> 00:56:05,480
Speaker 1: familiar with. That was like early twentieth century saving damsels

971
00:56:05,480 --> 00:56:09,960
Speaker 1: in distress from villains with foreign sounding names. But yeah,

972
00:56:10,040 --> 00:56:13,760
Speaker 1: I think by the time I was ingesting popular culture,

973
00:56:13,760 --> 00:56:18,120
Speaker 1: it was like their funny red outfit. They're simple mindedness,

974
00:56:18,120 --> 00:56:22,759
Speaker 1: but like always in a completely non threatening way, right right.

975
00:56:23,440 --> 00:56:26,800
Speaker 1: They were also part Pinkerton. They were there to disrupt

976
00:56:26,880 --> 00:56:31,279
Speaker 1: labor strikes, accused immigrants of being Bolshevik radicals. So just

977
00:56:31,719 --> 00:56:36,040
Speaker 1: chef's kiss. Yeah, it's so you always know his trouble

978
00:56:36,080 --> 00:56:40,399
Speaker 1: when like there's some euphemistic origin story for any kind

979
00:56:40,400 --> 00:56:44,360
Speaker 1: of law enforcement. It's like, yes, it get those whiskey bandits,

980
00:56:44,480 --> 00:56:47,480
Speaker 1: you know what I mean. And you're like, no, it wasn't.

981
00:56:47,480 --> 00:56:50,120
Speaker 1: I'm like, y'all were slave catchers. Shut the funk up,

982
00:56:50,120 --> 00:56:53,279
Speaker 1: and it turned on this other thing. It's like no, no, no, no, no,

983
00:56:53,360 --> 00:56:56,040
Speaker 1: servant protect and brutalize the funk out of you. Yeah,

984
00:56:56,360 --> 00:56:59,000
Speaker 1: but the Mounties have like those silly pant pants and

985
00:56:59,040 --> 00:57:01,239
Speaker 1: like the gloves that see overly fancies. So if you

986
00:57:01,320 --> 00:57:03,520
Speaker 1: just dressed it up in goofy nous, no one's going

987
00:57:03,560 --> 00:57:07,960
Speaker 1: to notice. Exactly. Can you imagine like this fucking l

988
00:57:08,040 --> 00:57:10,279
Speaker 1: A p D starts going out like cool locks or

989
00:57:10,320 --> 00:57:16,760
Speaker 1: like weird writing pants or something. We're not killing people

990
00:57:16,800 --> 00:57:22,320
Speaker 1: at a disturbing tick. Yeah. Yeah. In the cop movies now,

991
00:57:22,400 --> 00:57:26,120
Speaker 1: like they like I think it was One Jump Street

992
00:57:26,200 --> 00:57:30,560
Speaker 1: or like one of the Jumps Street, they start out

993
00:57:30,560 --> 00:57:33,840
Speaker 1: as like bike cops because you have to make them

994
00:57:34,240 --> 00:57:36,800
Speaker 1: seem right, isn't it isn't that right? Like they started

995
00:57:36,800 --> 00:57:39,000
Speaker 1: out as bike cops because they've been like busted down

996
00:57:39,320 --> 00:57:42,080
Speaker 1: to that level or something. But yeah, you have to

997
00:57:42,280 --> 00:57:45,560
Speaker 1: make the cops seem silly that that is going to

998
00:57:45,600 --> 00:57:50,520
Speaker 1: be a wild new like direction for propaganda to take

999
00:57:50,760 --> 00:57:54,680
Speaker 1: where they're just mean, like made non threatening and goofy.

1000
00:57:55,120 --> 00:57:58,480
Speaker 1: Well that's why with the rise of you know, smartphones,

1001
00:57:58,600 --> 00:58:01,800
Speaker 1: that's always a steady dream of like, yo, that cop

1002
00:58:01,880 --> 00:58:06,640
Speaker 1: can pop and lock right a purpose limbs out of

1003
00:58:06,680 --> 00:58:09,280
Speaker 1: their sockets right, and you're like, oh, but I also

1004
00:58:09,360 --> 00:58:10,920
Speaker 1: can get down there. Uhould be a b boy check

1005
00:58:10,960 --> 00:58:14,120
Speaker 1: out those moves or like, and I hate that copaganda

1006
00:58:14,160 --> 00:58:17,160
Speaker 1: ship because it's always like it's it's so funny because

1007
00:58:17,280 --> 00:58:19,360
Speaker 1: even when I watch, I'm like, oh, ship, look at

1008
00:58:19,440 --> 00:58:22,120
Speaker 1: oh wow, you can see walk And then I'm like, wait,

1009
00:58:22,200 --> 00:58:25,200
Speaker 1: shut the funk up. This person put on that uniform

1010
00:58:25,240 --> 00:58:27,880
Speaker 1: to brutalize poor people and protect private property. This is

1011
00:58:27,920 --> 00:58:31,240
Speaker 1: not somebody who gives a funk about anybody, but it is.

1012
00:58:31,320 --> 00:58:33,760
Speaker 1: It just does goes goes like it goes to show

1013
00:58:33,800 --> 00:58:37,000
Speaker 1: you like that image whenever it's doing something a little

1014
00:58:37,000 --> 00:58:42,520
Speaker 1: bit goofier than like violence, then you're like, I love

1015
00:58:42,560 --> 00:58:46,920
Speaker 1: it that cop can juggle and make cotton candy. Yeah,

1016
00:58:47,040 --> 00:58:51,560
Speaker 1: and roller blade cop. That's can be like all cops

1017
00:58:51,560 --> 00:58:59,000
Speaker 1: are rolling around on roller blades. Oh well look we'll

1018
00:58:59,040 --> 00:59:02,320
Speaker 1: wait and see. Because I mean, these ideas may sound

1019
00:59:02,320 --> 00:59:06,360
Speaker 1: absurd right now, but yeah, we've seen anything. Look at

1020
00:59:06,720 --> 00:59:11,800
Speaker 1: they probably sounded absurd and are still absurd all these

1021
00:59:11,840 --> 00:59:15,720
Speaker 1: years later. Katherine as always such a pleasure having you

1022
00:59:16,040 --> 00:59:18,640
Speaker 1: on the day, Like I, where can people find you

1023
00:59:18,680 --> 00:59:21,800
Speaker 1: and follow you? Um? Well, my new website, how to

1024
00:59:21,880 --> 00:59:25,760
Speaker 1: Eat l A is Los Angeles restaurant reviews, So if

1025
00:59:25,800 --> 00:59:28,120
Speaker 1: you live here or if you're planning on visiting, you

1026
00:59:28,120 --> 00:59:30,640
Speaker 1: should go check that out. And I also do video

1027
00:59:30,800 --> 00:59:34,960
Speaker 1: versions of the weekend restaurant recommendations on TikTok. So I'm

1028
00:59:35,000 --> 00:59:41,400
Speaker 1: just at Katherine Spires on TikTok okay, and y'all, Katherine

1029
00:59:41,720 --> 00:59:44,520
Speaker 1: knows what the fun she's talking about with thank you.

1030
00:59:44,840 --> 00:59:46,520
Speaker 1: So this is some persons like I wanted to make

1031
00:59:46,560 --> 00:59:51,040
Speaker 1: a website. No, she's coming in fucking heavy. Okay, it's true,

1032
00:59:51,120 --> 00:59:54,400
Speaker 1: it's true. I I you know, you can give yourself

1033
00:59:54,400 --> 00:59:56,520
Speaker 1: whatever job you want, So I decided restaurant critic. But

1034
00:59:56,560 --> 00:59:59,080
Speaker 1: I have been writing about food for almost twenty years,

1035
00:59:59,160 --> 01:00:02,000
Speaker 1: so exactly this is your lane. And I think I

1036
01:00:02,040 --> 01:00:04,720
Speaker 1: mean just already, like looking at your that this site,

1037
01:00:04,760 --> 01:00:07,200
Speaker 1: I'm like, oh, I've never heard of these fucking places,

1038
01:00:07,240 --> 01:00:10,280
Speaker 1: and I'm from here. Yeah, yeah, that's what I want

1039
01:00:10,280 --> 01:00:11,800
Speaker 1: to do. I want to talk about places that aren't

1040
01:00:11,840 --> 01:00:16,080
Speaker 1: getting covered like in the biblications. Dude, there's like a

1041
01:00:16,120 --> 01:00:20,680
Speaker 1: whole like complex of like lack of like lack of

1042
01:00:20,720 --> 01:00:23,200
Speaker 1: imagination to what a good restaurant is in l A

1043
01:00:23,280 --> 01:00:27,400
Speaker 1: because of these websites. Like, yeah, I haven't thought about

1044
01:00:27,400 --> 01:00:29,640
Speaker 1: it that way, but yeah, well so many people just

1045
01:00:29,920 --> 01:00:33,360
Speaker 1: they and I get it because like infatuation either those

1046
01:00:33,400 --> 01:00:36,760
Speaker 1: websites they aggregate, like like people just default to that.

1047
01:00:37,120 --> 01:00:38,680
Speaker 1: But a lot of the times it's like, well, these

1048
01:00:38,680 --> 01:00:41,280
Speaker 1: people know the publicists that are like working the pr

1049
01:00:41,360 --> 01:00:44,560
Speaker 1: for restaurants and things like that, Whereas you're like, y'all

1050
01:00:44,600 --> 01:00:47,600
Speaker 1: got it. I went to Monterey Park and they fucked

1051
01:00:47,640 --> 01:00:52,200
Speaker 1: it up over there, exactly. Yeah, that's what I'm more

1052
01:00:52,280 --> 01:00:55,520
Speaker 1: interested in. I think it's more reflective of Los Angeles culture.

1053
01:00:55,560 --> 01:00:58,440
Speaker 1: And I'm making a point to not um cover restaurants

1054
01:00:58,480 --> 01:01:01,960
Speaker 1: that have like puble city teams because those places have money,

1055
01:01:02,040 --> 01:01:04,240
Speaker 1: they're set, they're fine. We don't need to talk about them.

1056
01:01:04,520 --> 01:01:06,560
Speaker 1: Um you'll find out about them anyway. So just trying

1057
01:01:06,560 --> 01:01:09,680
Speaker 1: to you know, there's so many amazing restaurants in Los

1058
01:01:09,720 --> 01:01:12,000
Speaker 1: Angeles that hardly anyone knows about and they like deserve

1059
01:01:12,040 --> 01:01:14,840
Speaker 1: a little a little come up, you know, yeah, my god,

1060
01:01:15,720 --> 01:01:19,400
Speaker 1: oh yeah, omar sol Yeah, shout out to right. So yeah,

1061
01:01:20,080 --> 01:01:22,360
Speaker 1: Andrew te put me unto that place, of course he did.

1062
01:01:23,880 --> 01:01:26,160
Speaker 1: And is there a tweet or some of the work

1063
01:01:26,360 --> 01:01:30,320
Speaker 1: of media or social media that you've been enjoying. There

1064
01:01:30,520 --> 01:01:33,560
Speaker 1: is a woman named reb Masl and she's mostly on

1065
01:01:33,600 --> 01:01:36,800
Speaker 1: TikTok where she reads court documents in the valley girl accent.

1066
01:01:36,880 --> 01:01:39,160
Speaker 1: And that sounds so dumb, but god, it's the funniest

1067
01:01:39,160 --> 01:01:41,280
Speaker 1: ship I've ever heard in my life. She finds the

1068
01:01:41,280 --> 01:01:44,760
Speaker 1: most amazing cases. But also she recently tweeted that she

1069
01:01:44,840 --> 01:01:46,919
Speaker 1: likes the hippos are the most dangerous animal on earth

1070
01:01:46,960 --> 01:01:49,280
Speaker 1: because they're vegetarian. They don't want to eat you, they

1071
01:01:49,320 --> 01:01:53,360
Speaker 1: just hate you. And I also love when animals are

1072
01:01:53,400 --> 01:01:56,840
Speaker 1: like that. Moose are the same way. There's people are

1073
01:01:56,840 --> 01:01:59,520
Speaker 1: always like trying to make friends with moose and national

1074
01:01:59,560 --> 01:02:02,040
Speaker 1: parks and moose just want to murder so much. They

1075
01:02:02,080 --> 01:02:05,240
Speaker 1: just want to stump your ribs in, And I really

1076
01:02:05,240 --> 01:02:08,600
Speaker 1: admire that about them. It's for fun. It's for fun.

1077
01:02:08,800 --> 01:02:11,000
Speaker 1: And the way they whipped their ship around with their

1078
01:02:11,000 --> 01:02:15,120
Speaker 1: tails a thing yeah, they're they're vicious and then like

1079
01:02:15,160 --> 01:02:17,760
Speaker 1: a galaxy brained and I'm like, oh my god, that's

1080
01:02:17,760 --> 01:02:20,160
Speaker 1: why hippos and moose can't live in the same climates

1081
01:02:20,160 --> 01:02:23,360
Speaker 1: because if they came together, just like killer vegans, they

1082
01:02:23,480 --> 01:02:27,600
Speaker 1: take over immediately. You gotta separate. How come some like

1083
01:02:28,080 --> 01:02:31,440
Speaker 1: maniacal maga like Donor hasn't been like you know what

1084
01:02:31,480 --> 01:02:34,040
Speaker 1: I do? I pit animals against each other in these

1085
01:02:34,120 --> 01:02:36,720
Speaker 1: kind of bespoke animal fights that you can only be

1086
01:02:36,760 --> 01:02:39,360
Speaker 1: invited to. Next month, we got a moose versus hippo.

1087
01:02:39,800 --> 01:02:42,080
Speaker 1: You don't know that that's not going on. I know right,

1088
01:02:42,560 --> 01:02:45,640
Speaker 1: they probably is. Yeah, but then they can't do that.

1089
01:02:45,680 --> 01:02:47,280
Speaker 1: You know what. It happened once and then the moose

1090
01:02:47,280 --> 01:02:48,760
Speaker 1: and the hippo looked at each other and we're like,

1091
01:02:48,880 --> 01:02:50,840
Speaker 1: who do we really want to kill? And then they

1092
01:02:50,840 --> 01:02:55,760
Speaker 1: sucked the people up. That's a movie about coming together

1093
01:02:55,800 --> 01:03:00,680
Speaker 1: and know who your real oppressors are. Yes, that too, kids, book,

1094
01:03:00,680 --> 01:03:02,680
Speaker 1: Can we write that the hippo and the moose that

1095
01:03:02,680 --> 01:03:05,320
Speaker 1: were forced to fight and then they killed the humans

1096
01:03:05,400 --> 01:03:07,640
Speaker 1: that brought them to this situation. I think that's such

1097
01:03:07,640 --> 01:03:12,040
Speaker 1: a nice story. Yeah, but it does involve the hippo

1098
01:03:12,120 --> 01:03:15,680
Speaker 1: biting someone in half. That's yeah, yeah, yeah, kids. It's

1099
01:03:15,680 --> 01:03:17,280
Speaker 1: a pop up book. The kids will love that part.

1100
01:03:17,280 --> 01:03:24,520
Speaker 1: You can look the guts come out. Miles. Where can

1101
01:03:24,560 --> 01:03:27,040
Speaker 1: people find you? What is the tweet or work of

1102
01:03:27,120 --> 01:03:30,320
Speaker 1: social or otherwise media that you've been enjoying. It's a

1103
01:03:30,360 --> 01:03:34,520
Speaker 1: spelling book. He is for evisceration. You can find me

1104
01:03:34,520 --> 01:03:36,760
Speaker 1: on Twitter and Instagram at Miles of Gray, find Jack

1105
01:03:36,760 --> 01:03:39,400
Speaker 1: and I an are Wonderful basketball podcast and Miles and

1106
01:03:39,480 --> 01:03:44,000
Speaker 1: Jack Got mad these and uh my fiance podcast with

1107
01:03:44,040 --> 01:03:47,800
Speaker 1: Sophia Alexandro which is called Fiance and again I will say,

1108
01:03:48,000 --> 01:03:50,760
Speaker 1: go to how to Eat l A because I'm not

1109
01:03:50,960 --> 01:03:54,560
Speaker 1: I'm Catherine. I'm done. I'm done with these. These websites

1110
01:03:54,600 --> 01:03:58,160
Speaker 1: are like this is the newest BOBA campaign in town,

1111
01:03:58,440 --> 01:04:02,240
Speaker 1: Like no, stop that stop that, um so check that

1112
01:04:02,280 --> 01:04:04,240
Speaker 1: website out and for all I know a lot of

1113
01:04:04,240 --> 01:04:06,040
Speaker 1: people's that gang. You hit me up on d MS

1114
01:04:06,040 --> 01:04:07,800
Speaker 1: like I'm coming to l A. Where should I eat?

1115
01:04:08,280 --> 01:04:10,560
Speaker 1: I'm saying this now go to how to Eat l

1116
01:04:10,640 --> 01:04:13,160
Speaker 1: A dot com. That's all. That's all you need to know.

1117
01:04:13,320 --> 01:04:16,040
Speaker 1: Tweets that like first one is from past guests Demi

1118
01:04:16,160 --> 01:04:20,640
Speaker 1: Didee Bay at electro Lemon tweeted, calendar reminder went off,

1119
01:04:20,640 --> 01:04:24,280
Speaker 1: happy anniversary, and it says Wednesday, Wednesday, January eighth, and

1120
01:04:24,320 --> 01:04:26,880
Speaker 1: it says all day. Mark Wahlberg said he could have

1121
01:04:26,880 --> 01:04:33,480
Speaker 1: stopped nine eleven. This was the day that he uttered

1122
01:04:33,480 --> 01:04:36,919
Speaker 1: that famous phrase. So yeah, for those that celebrate, take

1123
01:04:36,960 --> 01:04:40,920
Speaker 1: it in amazing. I just found the image of the

1124
01:04:40,920 --> 01:04:44,840
Speaker 1: wolf Blitzer Celebrity Jeopardy, by the way, and the score

1125
01:04:45,240 --> 01:04:49,280
Speaker 1: final score Andy Richter thirty nine thousand dollars wolf Blitzer

1126
01:04:49,720 --> 01:04:56,440
Speaker 1: negative four thousand, six hundred and Andy Richter said, you know,

1127
01:04:56,480 --> 01:04:59,840
Speaker 1: people always wanna like high five me about that, but

1128
01:05:00,160 --> 01:05:02,120
Speaker 1: in the end, I just felt kind of bad for

1129
01:05:02,200 --> 01:05:10,520
Speaker 1: the guy. He just seemed really lost. Uh it's I'll

1130
01:05:10,560 --> 01:05:13,520
Speaker 1: see if I can find the video of that and

1131
01:05:13,760 --> 01:05:16,480
Speaker 1: liake off to that foot notes or well we'll do

1132
01:05:16,520 --> 01:05:20,200
Speaker 1: it on future episode. Well yeah, we got some you know,

1133
01:05:20,240 --> 01:05:21,960
Speaker 1: we might be doing some video stuff coming up in

1134
01:05:22,000 --> 01:05:25,919
Speaker 1: a few months. And then tweet I've been enjoying. Paul

1135
01:05:26,000 --> 01:05:28,680
Speaker 1: Jackson tweeted, so this is how I learned by work.

1136
01:05:28,680 --> 01:05:31,960
Speaker 1: Calendar wasn't private and it's just a screen cap of

1137
01:05:31,960 --> 01:05:34,000
Speaker 1: an image that says Paul, I want to do the

1138
01:05:34,040 --> 01:05:37,520
Speaker 1: product intro to blank on Friday and on the Only

1139
01:05:37,560 --> 01:05:40,160
Speaker 1: Good Spot for most people? You have a blocker called

1140
01:05:40,280 --> 01:05:42,840
Speaker 1: get a Chicken? Is that something you could move to

1141
01:05:42,960 --> 01:05:51,520
Speaker 1: join us? Um? Work is hell? Work is hell? A chicken? Though?

1142
01:05:51,960 --> 01:05:56,080
Speaker 1: Like that that would have almost sounds like a live chicken, right, Yeah,

1143
01:05:56,120 --> 01:05:59,320
Speaker 1: it sounds like it, or maybe it's just Costco Costco wrong.

1144
01:06:00,200 --> 01:06:03,080
Speaker 1: But then I would say, we say, like, you'll get chicken. Yeah,

1145
01:06:03,280 --> 01:06:07,960
Speaker 1: I don't know anyway, And then uh at profit husband

1146
01:06:08,360 --> 01:06:11,320
Speaker 1: like profit p r O p h e T. We

1147
01:06:11,440 --> 01:06:14,240
Speaker 1: did text to Homie nicknamed Big Gulp. You make every

1148
01:06:14,320 --> 01:06:16,400
Speaker 1: day of my life better than the next. I feel

1149
01:06:16,440 --> 01:06:19,040
Speaker 1: like I have known you for a thousand lifetimes. Text

1150
01:06:19,040 --> 01:06:21,800
Speaker 1: to what make sure the bathroom door is open when

1151
01:06:21,800 --> 01:06:29,240
Speaker 1: I got home, I'm gonna come in sprinting. Uh. You

1152
01:06:29,280 --> 01:06:32,280
Speaker 1: can find us on Twitter at Daily Zeitgeist. We're at

1153
01:06:32,320 --> 01:06:35,080
Speaker 1: the Daily Zeitgeist on Instagram. We have a Facebook fan

1154
01:06:35,120 --> 01:06:38,320
Speaker 1: page and a website Daily zey guys dot com, where

1155
01:06:38,360 --> 01:06:41,640
Speaker 1: we post our episodes and our footnotes where we link

1156
01:06:41,680 --> 01:06:44,120
Speaker 1: off to the information that we talked about in today's episode,

1157
01:06:44,360 --> 01:06:47,160
Speaker 1: as well as a song that we think you might enjoy. Hey, Miles,

1158
01:06:47,160 --> 01:06:49,280
Speaker 1: what's the song that we think people might enjoy. Oh,

1159
01:06:49,360 --> 01:06:52,120
Speaker 1: you know we're talking about rock and people doing takes

1160
01:06:52,160 --> 01:06:55,720
Speaker 1: on rock songs. Well, there's an album that's all Doors covers,

1161
01:06:55,760 --> 01:06:58,320
Speaker 1: but jazz covers, or like Jazz and Jason covers of

1162
01:06:58,400 --> 01:07:01,960
Speaker 1: the Doors and the light Fire cover by Lloyd Price

1163
01:07:02,400 --> 01:07:04,760
Speaker 1: is what I'm gonna recommend because it's it's got a

1164
01:07:04,800 --> 01:07:07,160
Speaker 1: little more a little more soul, a little more flate

1165
01:07:07,240 --> 01:07:08,960
Speaker 1: or a little more season, you know. And that's not

1166
01:07:09,000 --> 01:07:13,480
Speaker 1: to shade Robbie and Ray and John and uh James,

1167
01:07:14,120 --> 01:07:18,080
Speaker 1: James Morrison. But you know, sometimes people can suck it

1168
01:07:18,160 --> 01:07:20,040
Speaker 1: up to with their own verses. So this is like

1169
01:07:20,160 --> 01:07:23,400
Speaker 1: My Fire by Lloyd Price. All right, well, the daily

1170
01:07:23,480 --> 01:07:25,160
Speaker 1: is like, guys, the production of by Heart Radio. For

1171
01:07:25,280 --> 01:07:28,240
Speaker 1: more podcast my Heart Radio, visit the I Heart Radio app,

1172
01:07:28,280 --> 01:07:30,760
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

1173
01:07:31,240 --> 01:07:33,120
Speaker 1: That's gonna do it for us this morning, back this

1174
01:07:33,200 --> 01:07:35,960
Speaker 1: afternoon to tell you what's trending, and we'll talk to

1175
01:07:36,000 --> 01:07:37,480
Speaker 1: you all then Bye bye,