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Speaker 1: Hello the Internet, and welcome to Season two eighty three,

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Speaker 1: Episode three of Dirt Dailies. Like Guys Production, Oh by

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Speaker 1: Heart Radio, A little Hot in the nast there. This

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Speaker 1: is a podcast where we take a deep dive into

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Speaker 1: america shared consciousness. And it is Wednesday, April twelfth, twenty

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Speaker 1: twenty three. My day, My day. That's your National Only

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Speaker 1: Child Day. Okay, there's like Sibling Day. I remember that

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Speaker 1: came around and I just would look at an empty

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Speaker 1: picture frame. No sibling, but it's only Child Day. National

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Speaker 1: Colorado Day, you know what I mean, National real Cheese

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Speaker 1: Sandwich Day, National Big Wind Day, came all the way

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Speaker 1: from Colorado. He ready, this this here is called the

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Speaker 1: silvil bullet. Come in here, talk to you, uncle baby

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Speaker 1: Billy real quick from Colorado. Also National Liquorice Day, and

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Speaker 1: not I have a new Swedish friend who's gotten me

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Speaker 1: into all sorts of different Like have you ever had

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Speaker 1: salty licorice? No, it's really good, Like I mean it's

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Speaker 1: not only salted friends. I've got a new Swedish friend. Yeah. Man,

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Speaker 1: I'm rubbing it in my face that you go off,

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Speaker 1: you leave for two weeks. You're like, I've got this

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Speaker 1: new Swedish friend's new pal. He's Swedish, he's exotic. He

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Speaker 1: teaches me all sorts of cool stuff about licorice, salty licorice.

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Speaker 1: Oh man, what hey ape not head? Well yeah, well,

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Speaker 1: my name's Jack O'Brien aka Jack Kakwai Virtual anxiety. Um,

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Speaker 1: I'm talking basement Jack's where's your head? Jack? Jacked punk,

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Speaker 1: the jacking pumpkins, the white thighs or the jacking tours

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Speaker 1: or the counting crow Bryants. Those are all courtesy of

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Speaker 1: handoramic view on disque. Shout out hand and I'm thrilled

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Speaker 1: to be joined as always by my co host mister Miles. Hey,

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Speaker 1: Miles Ray Aka, I'm being real loud, but I'm just

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Speaker 1: making sound and please don't ask me what I'm singing.

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Speaker 1: I think he's saying something about a bullet, a loaded

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Speaker 1: guy Tom Flex rocking a mullet. Okay, shout out to

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Speaker 1: catastrophe ric failure. You're that he went to the actual

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Speaker 1: lyrics at the end there of the guy Tom Flex

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Speaker 1: rocking a mullet. Yeah, that's the real words. Christy, Ya'm

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Speaker 1: a Gucci man, I see you out there. Thank you

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Speaker 1: for that one, because yeah again, every time he enters

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Speaker 1: the arena. You think we're booing because we're actually yelling

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Speaker 1: yeah him, No, it's his name, it's his name name exactly.

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Speaker 1: That was like when the Dodgers when Raoul Monday played it,

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Speaker 1: and I remember all the time, though you knew someone

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Speaker 1: was a herb, when they're like, why are they booing?

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Speaker 1: It's fucking raw. The just started doing hey hey, yeah,

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Speaker 1: yeah hey. So we are thrilled to be joined by

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Speaker 1: a very funny comedian and writer, host the food podcast

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Speaker 1: Yelling About Potte and host of the live pop up

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Speaker 1: comedy food wine show A Mouse Bush. Please welcome back

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Speaker 1: to this show. It's Carl. Oh my god, happy to

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Speaker 1: be here. And I'd be remiss if I didn't say

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Speaker 1: that I have had salty liquorice and it's delicious. Isn't

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Speaker 1: it good? Your sweetest friend is right? Wait, what is

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Speaker 1: salty liquorice? Your bush is amused when you have that

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Speaker 1: s it's like the it's like the savory version of

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Speaker 1: liquorice pretty much. So it tastes like meat. Yeah, it

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Speaker 1: tastes like a nice steak. You see cheddar and onion.

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Speaker 1: The one that I had had with salty one side,

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Speaker 1: sweet on the other. Yeah, they'll have a liquorice steak

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Speaker 1: and sweeten you cut it with a forking knife. Say yeah,

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Speaker 1: I recently had a Suvite salty liquorice patty, fantastic bet.

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Speaker 1: It was great. Yeah, Carl, tell me about a moose

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Speaker 1: bush because before you're talking, You're like, I'm combining comedy,

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Speaker 1: food and wine, and I'm like, like dinner theater. Yeah,

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Speaker 1: I mean kind of. Actually, yeah, a lot like that.

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Speaker 1: It's a top up food and wine party that we

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Speaker 1: do at a Melody Wine Bar and virgil Villas Natural

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Speaker 1: Wine Bar, and uh, basically we have two different guest

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Speaker 1: chefs every show. We have different wines on special. Sometimes

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Speaker 1: we have a winemaker there and then uh, your your

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Speaker 1: ticket gets you the food, you buy wine from the bar.

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Speaker 1: Everybody gets drunk, and then we have like a you know,

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Speaker 1: a tight comedy show, tightest show in talent. It's an

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Speaker 1: hour long three comedians. You know you see these La

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Speaker 1: comedies shows, the Book and nine ten people. Nobody needs

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Speaker 1: that much comedy in my life. Comedy yeah, yeah, yeah,

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Speaker 1: No one needs, uh I say, no one needs over

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Speaker 1: ninety minutes of any content. Really, movies, comedy, like definitely

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Speaker 1: not stand up comedy. So yeah, we do a tight

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Speaker 1: one hour show to exactly. Then we have a DJ

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Speaker 1: we dance, we do the perne, which, if you don't know,

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Speaker 1: is a Spanish class drinking instrument where you pour wine

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Speaker 1: into your mouth from a great height like that thing.

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Speaker 1: Oh yeah, that features prominently into the entire show. So

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Speaker 1: what do people like just bib up or whatever before

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Speaker 1: they go best? You got a raw dogged baby. That's

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Speaker 1: what it's all about. The red wine splattering everywhere. We

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Speaker 1: don't use red if you're not actively if you're not

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Speaker 1: actively a Spaniard, I do not encourage peroning red wine.

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Speaker 1: You have to. That's high levels of You start with

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Speaker 1: white as someone who likes to, you know, sometimes have

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Speaker 1: a baja blast and I am willing to appropriate Spanish culture.

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Speaker 1: I feel like I'm ready for the just the rialha

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Speaker 1: down my gullet. Yeah, I would say perona baha blast

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Speaker 1: and see how that goes, and then you know they

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Speaker 1: move from there. Yeah yeah, start that shot before. So

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Speaker 1: that's I think I've shotgun them with miles of my house.

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Speaker 1: Didn't shot? I think I watched you do it, and

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Speaker 1: then I looked at her majesty, and she's like she's like,

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Speaker 1: she gave you a shake of the head down. The

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Speaker 1: divorce lawyer his send, I recently had a flaming hot

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Speaker 1: mountain dew. Actually yeah, and you know what, it wasn't

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Speaker 1: disgusting like I thought it was gonna be. Was not

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Speaker 1: hot at all, which was my right. I was like,

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Speaker 1: this should be a little bit spicy. I know it

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Speaker 1: has may whisper, the hint of like the spiciness of

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Speaker 1: ginger beer. I wanted to to scald my escophagus with

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Speaker 1: chemical burns. But right, right, yeah, well look, they can't

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Speaker 1: really do. Like did you hear about like how people

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Speaker 1: who are eating Chipotle now they're like the hot sauce

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Speaker 1: is way too hot. Now it got way hot, and

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Speaker 1: like people are fucking freaking out. We're also soft, and

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Speaker 1: I'm like, come on, but it turns out there like Chipotle,

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Speaker 1: it was like, I mean, we get it from the

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Speaker 1: same place as all the time, but then they suspect

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Speaker 1: it was a batch of like these chilies that they

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Speaker 1: got from India that maybe slightly hotter, and like, I forget,

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Speaker 1: we're a super producer. Victor sent me the article because

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Speaker 1: I love hearing about people who are like too spicy,

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Speaker 1: too spicy, and they're like it was just a little

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Speaker 1: couple skull vills above normal, right, whatever, Pepper's gonna be wildly.

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Speaker 1: You know, there's a spectrum. Sometimes you got alipano, You're like,

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Speaker 1: this is my old Sometimes you got a halpanio that

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Speaker 1: fucks your day up. Oh yeah, or even like a

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Speaker 1: shshido pepper. You you yeah, they will fucking they will

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Speaker 1: jump you in an alley. You didn't expect it. You

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Speaker 1: thought it was gonna be a nice little appetizer. It

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Speaker 1: guess what, motherfucker, this is a spicy one. All right, Carl,

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Speaker 1: We're gonna get to know you a little bit better

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Speaker 1: in a moment. First, we're gonna tell our listeners a

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Speaker 1: couple of things we're talking about. We're gonna talk about

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Speaker 1: Ted Cruise's prescription for fixing the school shooting problem in America.

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Speaker 1: Treat schools like banks. He said that a week ago,

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Speaker 1: and then there was a mass shooting in a bank.

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Speaker 1: So we'll talk about that in some new guns statistics. Uh,

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Speaker 1: we're gonna talk about this. Harvard alum McKenzie alum, who

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Speaker 1: is openly advocating for bringing back public lynchings in San Francisco,

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Speaker 1: but like doesn't seem to know that that's what she's

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Speaker 1: I don't know it. Shell Tandler on Twitter, go check

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Speaker 1: her out. We'll talk about her. We'll talk about how

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Speaker 1: the right is celebrating Super Mario for its anti wokeness

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Speaker 1: h and also blasting super Mario for its wokeness some

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Speaker 1: same film. Um, we'll talk about the Bodyguard musical causing

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Speaker 1: people to to sing along like, Wow, the show is happening.

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Speaker 1: Did you see that clip of the Reason Can't Stop?

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Speaker 1: And it like turned into a riot? You thought these

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Speaker 1: women were like like advocating for gun control. The way

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Speaker 1: they were fucking ripped out of their seats and like

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Speaker 1: taken out of the theater, it was something else. And

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Speaker 1: then we have some good news you. We don't always

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Speaker 1: just give outright good news here, but um, you can

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Speaker 1: now order Domino's Pizza Wild Driving. Finally, thank you you can.

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Speaker 1: Did you watch the promotional video? No, we're gonna have

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Speaker 1: to though before we talk about it. It's it's a

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Speaker 1: blast all that plenty more. But first, Carl, we do

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Speaker 1: like to ask our guests, what is something from your

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Speaker 1: search history? You know I've been doing a lot of

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Speaker 1: googling about like how hard it is actually to like

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Speaker 1: move into the woods, like off the grid, you know,

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Speaker 1: like what's actually involved in that? Because I think about that,

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Speaker 1: I feel like more and more of these days, with

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Speaker 1: increasing frequency, I'm like I should just like move into

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Speaker 1: the woods and just like never come back. You know. Yeah,

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Speaker 1: I think logistically it's kind of tough. It's like you're

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Speaker 1: gonna need a goat, You're gonna need some chicken. Yeah,

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Speaker 1: Like you're gonna need assive perimeter of some kind. Is

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Speaker 1: that what they tell you? Well, you didn't. You need

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Speaker 1: to raise your own food if you're off the grid.

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Speaker 1: So you know, I'm gonna eggs. Yeah, you can't be

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Speaker 1: You can't be doing car ordering of dominoes once you're

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Speaker 1: off the grid. Yeah, car play won't work in your

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Speaker 1: car you're off the grid. Yeah. And then you got

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Speaker 1: you probably have to form like a defensive perimeter of

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Speaker 1: some kind because they'll be raiders. This is someone, dude.

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Speaker 1: I just watched the third episode of Last of Us,

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Speaker 1: and this is exactly what Nick Offerman's character was going through,

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Speaker 1: and I was like, I've always been like, yeah, I

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Speaker 1: wonder what it would be like in watching him go

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Speaker 1: through it, like trying to do this shit solo. I

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Speaker 1: was like, oh, that's way too much work, bro, I'm

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Speaker 1: not gonna do animal husbandry and shit fucking I haven't

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Speaker 1: done that show, but I that appeals to me, And

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Speaker 1: you're right, I think the actual reality of it, You're like,

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Speaker 1: damn a lot of manual labor. You could watch that

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Speaker 1: episode actually in a vacuum because it's kind of like

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Speaker 1: just sort of specifically to this character within the show,

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Speaker 1: and it's just like all about this dude who's like

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Speaker 1: surviving the zombie apocalypse, who's like he's like a prepper,

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Speaker 1: and he's like, now's my time, and you're like it

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Speaker 1: looks I'm like, wow, you've got it all, but it

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Speaker 1: looks incredibly lonely. Yeah. Yeah, he probably had to act

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Speaker 1: so hard to make it look difficult for him, all right, right,

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Speaker 1: because yeah, he would be a breeze for him in

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Speaker 1: real life. Oh yeah, He's like, I could make all

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Speaker 1: of this out of wood, right, complex machines, out most

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Speaker 1: of the wooden tools I need. I made them in

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Speaker 1: my shop. I can actually do it without any nails.

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Speaker 1: I'm an expert in Japanese joinery. He was in the

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Speaker 1: studio the other day was yeah, have you heard his

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Speaker 1: real have you heard his real laugh? Ye? It's the

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Speaker 1: best bet shit ever. It's like when you when it happens,

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Speaker 1: it's such a treat. I remember interviewing him once and

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Speaker 1: he laughed for real and I was like, I was like, wait,

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Speaker 1: that's great, like like like he laughs like that like goofy. Yeah.

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Speaker 1: Like it's so differently because he'll be like yeah, And

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Speaker 1: I remember meeting a fan who got a you know,

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Speaker 1: Ron Swanson tattoo with me making a pizza. Like he's

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Speaker 1: a good heart. Oh yeah, totally totally, but it's just

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Speaker 1: a funny one. Outwardly, everyone just thinks of him as

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Speaker 1: being this such like superly stoic guy when he's like

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Speaker 1: a theater kid who loves carpentry and laughing. Yeah, that's

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Speaker 1: that's I went and saw when I was I think

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Speaker 1: it was like late teen, early twenties, I guess I

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Speaker 1: went to the Craig Kilborne show. He was having Clint

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Speaker 1: Eastwood on his show, and like he had this thing

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Speaker 1: throughout the early years of the Craig Kilborn Show where

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Speaker 1: like Clint Eastwood was this like masculinity, like badass, like

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Speaker 1: Icon and he like had him on and interviewed him,

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Speaker 1: and Clint Eastwood was just like, yeah, I'm like into

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Speaker 1: jazz and stuff, really like jazz and playing instruments, and

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Speaker 1: it was just like Craig Kilborne was so disappointed. It

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Speaker 1: was great. Oh there's somebody made a montage of him giggling. Yeah,

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Speaker 1: not Clint Eastwood, He's never giggled. Yeah, Okay, that was

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Speaker 1: a goolahn amazing what a charmer? Yeah? What is What's

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Speaker 1: something you think is overrated? Oh? Man? You know I've

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Speaker 1: been seeing them a lot in the news and maybe

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Speaker 1: more so recently, the robot dogs. M Like, I just

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Speaker 1: think making robots in general is overrated, and like why

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Speaker 1: do who is supporting the robot dogs? Like, I know

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Speaker 1: people like them, Like why are we doing? Oh yeah,

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Speaker 1: every time I pay this, I'm like, this is a

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Speaker 1: terrible idea. Well yeah, you a tilitarian. The family that

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Speaker 1: made that, and we'll be billionaires for five generations going forward.

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Speaker 1: I think are the the I'm gonna say, I'm gonna say,

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Speaker 1: designing robots that will eventually kill us very overrated. Yeah.

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Speaker 1: I don't know why we're putting resources towards this. I

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Speaker 1: mean I do know why. But you know what's so funny.

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Speaker 1: I feel like within two months, those like those fucking

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Speaker 1: like Boston Dynamics robots have gone on the fucking trash

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Speaker 1: because of what AI's been doing, where we're like, yeah, youah,

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Speaker 1: shut up your fucking weird robots something script. Yeah, why Yeah,

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Speaker 1: this guy's writing this, This fucking AI is writing a

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Speaker 1: Spentura four as a speck And it's fucking really good.

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Speaker 1: And it's good. It's actually better too. It nails it

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Speaker 1: without the transphobia of the first one. Yeah. I like

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Speaker 1: that they skipped a Spentura three. Yeah, the AI knew

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Speaker 1: that that wasn't necessary. You know, it's so weird. You

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Speaker 1: know the reason I even said for is because I

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Speaker 1: know somebody whose partner was like, was writing a spent

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Speaker 1: Tura three? Is this as a spec? And I remember

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Speaker 1: it's like this thing where alays be like, oh, that's

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Speaker 1: such a bummer, dude, Like I don't want to tell

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Speaker 1: You're like, I don't know, there might be a better

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Speaker 1: way to get your foot in the doors a writer

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Speaker 1: than writing a Spindura three on spec. But hey, you know,

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Speaker 1: part of me wants to see it. But you know

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Speaker 1: how like jaded people are in this industry too, Like

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Speaker 1: you hear an idea and you're like, ah, the era

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Speaker 1: of writing a really funny spec script to get in

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Speaker 1: is like that was like twelve years ago. But what

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Speaker 1: the Seinfeld nine to eleven specs that guy got? You

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Speaker 1: know Alex Sulkin right right Lea sulk who's now what

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Speaker 1: like a family guy writer? Yeah, yeah, I mean it

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Speaker 1: worked for him. Yeah, he's developing a bunch of robotic there.

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Speaker 1: It is acepen to reverse the robot dogs. Yeah, oh shit,

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Speaker 1: the protected the pets are being replaced with robot It

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Speaker 1: is perfect. There, it is. What is something you think

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Speaker 1: is underrated? Something that I did recently, for the first

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Speaker 1: time maybe ever in my adult life. I did not

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Speaker 1: look at my phone for an entire day. I didn't

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Speaker 1: even have it on for an entire day. Wow, I

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Speaker 1: feel like it's been I don't know if I've ever

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Speaker 1: actually done that completely, like fully committed to it. I

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Speaker 1: was backpacking in Joshua Tree and it was really more

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Speaker 1: like a day and a half actually, and I was like,

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Speaker 1: I'm just gonna turn off my phone and just fucking

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Speaker 1: rock with the natural world. Baby. There you go, and

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Speaker 1: uh you know what. It felt pretty good. It felt

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Speaker 1: pretty good. I'm no anxiety, you know, there was a

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Speaker 1: little bit of it, but I don't know. It was

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Speaker 1: actually really relaxing. I don't know, like oh yeah, like

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Speaker 1: like everyone, I'm always looking at my phone. It's always

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Speaker 1: on me, it's always in my hand. I think just

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Speaker 1: like not having that weight, that psychic weight was It

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Speaker 1: was refreshing. But of course I immediately was like, oh shit,

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Speaker 1: I gotta get on Instagram. And so would you do

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Speaker 1: like make eye contact with the people you were like

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Speaker 1: walking around with. I was by myself, so I was

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Speaker 1: on kind of like a solo like spirit quest in

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Speaker 1: the middle of de Yeah, did you take pictures of

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Speaker 1: everything you saw to prove that you were there? It's funny.

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Speaker 1: I was thinking that, and every time I saw something cool,

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Speaker 1: I was like, oh, I should turn on my phone

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Speaker 1: take a picture of that. And I was like, calm down,

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Speaker 1: calm down, you got this, easy, easy, easy. You don't

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Speaker 1: need to photograph everything. Look at it with your mind

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Speaker 1: and remember it with your brain. Be present and look

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Speaker 1: at it exactly. I was trying. I was trying. I

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Speaker 1: was trying hard, and you know, it was it was

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Speaker 1: pretty good. Yeah, oh man, I there's something like to

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Speaker 1: what you're getting at is like when you're able to

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Speaker 1: replace the feeling of like, you know, when you have

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Speaker 1: your phone, it's sort of there to be like, oh well,

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Speaker 1: if I fucking need to think about something, to do something,

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Speaker 1: I can always look at this. But when you can

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Speaker 1: replace that with like you know, being in nature or

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Speaker 1: like building someone or doing whatever, like playing music, that's

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Speaker 1: really like when you're like, oh, yeah, this is this

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Speaker 1: is living when you realize you don't when you feel

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Speaker 1: like I don't need to reach for that phone. Yeah. Also,

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Speaker 1: I think I remember about it. I don't know if

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Speaker 1: it's because of COVID or how how time has warped

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Speaker 1: because of COVID. I just feel like my memory in

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Speaker 1: recent years it's just like terrible, Like yeah, my brain,

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Speaker 1: I can't remember anything before COVID. Like someone's like, I

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Speaker 1: remember like this twenty eighteen. I'm like, no, absolutely, not

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Speaker 1: talking about anything before COVID. Anything during COVID. I'm like,

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Speaker 1: this is all missed. I still conflate the summer of

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Speaker 1: twenty twenty and twenty twenty one. Oh yeah, I have

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Speaker 1: the hardest time differentiating between the two. Like and I'm

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Speaker 1: always like wait, oh no, right, right, right, I have

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Speaker 1: a vaccine that summer, right, And I'm like, I don't

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Speaker 1: know if I just put my brain into like cryo

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Speaker 1: freeze or something. It was a lost year. We were

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Speaker 1: like the lost generation World War one style. It's just

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Speaker 1: like what happened? What even happened? What even happened? Man?

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Speaker 1: And World War One was the time that there was

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Speaker 1: a similar pandemic that shut everything down A long hundred

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Speaker 1: years later. Fun tradition, the fun little tradition. We have

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Speaker 1: tradition like any other global pandemic that lacks you out

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Speaker 1: for two years of your life. I have been noticing

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Speaker 1: talking about the robot dog and getting technology out of

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Speaker 1: our lives. It seems like things are coming to a

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Speaker 1: head in the public consciousness with regards to AI and

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Speaker 1: just like freaking out about it. Like I've noticed, you know,

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Speaker 1: in the mainstream like Drudge for the past couple days,

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Speaker 1: the four like main headlines that are in red are

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Speaker 1: all about like everyone's freaking out about AI, Like industry

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Speaker 1: leaders are pulling the plug on AI, Like do we

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Speaker 1: have a good reason for that? Do we think that it?

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Speaker 1: Like for the people, the current power structure is just

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00:19:06,840 --> 00:19:11,440
Speaker 1: like too destabilizing, is it? Because Acepentura for Pet Detective

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Speaker 1: Verse Prime Directive was so good. Yeah, Hollywood writers know

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Speaker 1: that they're shit out of luck. They're like pull the plug.

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Speaker 1: Oh yeah, writer strike is coming up. Yeah yeah, They're

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Speaker 1: like like this won't stand. Yeah. Uh Now, I mean

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Speaker 1: I think the one thing that like I got my

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Speaker 1: attention was when a lot of the like leaders in

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Speaker 1: AI like in the development of it that like pioneered

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Speaker 1: a lot of the stuff where like, yeah, you may

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Speaker 1: want to just we need we need to think about

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Speaker 1: how quickly this is developing before it has like general

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Speaker 1: intelligence and is able to teach itself like a human does.

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Speaker 1: And then you know, then they're like, think of just

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Speaker 1: how much better bought based propaganda is going to be,

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Speaker 1: and like it's like for purposes of like political messaging

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Speaker 1: or these other things that we're still not sure like

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Speaker 1: what it's going to do. That's what I'm oh, I

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Speaker 1: can see that, but right now I'm just like what

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Speaker 1: the fuck, Like it's passing this like it diagnosed a

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Speaker 1: one one hundred thousand medical condition. And then they're like

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Speaker 1: there's doctors being like it is pretty good at that.

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Speaker 1: It's just uh it's also kind of dumb too, but

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Speaker 1: it's just sort of I think remarkable, like the amount

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Speaker 1: of intelligence that's gonna just sort of bed readily available

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Speaker 1: to people. Yeah, but yeah, I don't know. I mean

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Speaker 1: that's why I'm like, I'm willing to be like, what's

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Speaker 1: how what's it gonna do? Because I can I see

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Speaker 1: that it can do a lot, But when will it

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Speaker 1: be sort of like applied in that way? We're like, Oh,

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Speaker 1: this is absolutely fucked up. Has there ever been in

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Speaker 1: the history of humanity a technological innovation where they were

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Speaker 1: just like, that's progress, but that's too much progress, and

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Speaker 1: we're just gonna like hold off for now. Like during

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Speaker 1: World War Two, like they blamed a lot of the

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Speaker 1: rise of fascism on the innovation of the loudspeaker. Yeah,

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Speaker 1: Like the guy who invented the loudspeaker like blamed himself

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Speaker 1: for the rise of Hitler. He was just so loud

378
00:20:59,400 --> 00:21:02,359
Speaker 1: you couldn't about and he couldn't stop all kinds of

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Speaker 1: crazy points, but you couldn't shut it out. Like I'm

380
00:21:05,040 --> 00:21:08,600
Speaker 1: just wondering, is like is there anything to be done

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00:21:08,680 --> 00:21:11,040
Speaker 1: other than just like work really hard to figure out

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Speaker 1: how to use the AI to counter the propaganda that's

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Speaker 1: being general well more than that too, right, it's like

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Speaker 1: how much of it is done that It's we're actually

385
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Speaker 1: looking at a future where if we're gonna get this

386
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Speaker 1: kind of massive efficiency at this scale, like then what

387
00:21:24,240 --> 00:21:26,800
Speaker 1: does that say about human labor? And what are we

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00:21:26,880 --> 00:21:29,919
Speaker 1: pivoting too? Because you can already see people beginning to

389
00:21:30,040 --> 00:21:32,280
Speaker 1: use it more and more. It's not quite getting to

390
00:21:32,320 --> 00:21:35,400
Speaker 1: the levels or like whole departments are being replaced, but

391
00:21:35,920 --> 00:21:38,920
Speaker 1: we see how capitalism works, like if they're like, oh yeah,

392
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Speaker 1: I can slash budgets because I know three people that

393
00:21:41,680 --> 00:21:44,400
Speaker 1: knows how you used chat GPT really well, that's where

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00:21:44,400 --> 00:21:46,840
Speaker 1: I'm like, are we actually figuring out where this is headed?

395
00:21:46,920 --> 00:21:49,119
Speaker 1: And superproducer Brian is now just saying he's like, what

396
00:21:49,320 --> 00:21:52,040
Speaker 1: if if the AI is not aligned with human needs

397
00:21:52,080 --> 00:21:54,480
Speaker 1: to begin with, That's where a lot of problems can

398
00:21:54,680 --> 00:21:58,200
Speaker 1: begin to show themselves because it's you know, it's it's

399
00:21:58,240 --> 00:22:00,159
Speaker 1: going to be able to like learn things like a

400
00:22:00,200 --> 00:22:03,320
Speaker 1: human does. I think the scariest ramifications are gonna be

401
00:22:03,359 --> 00:22:06,119
Speaker 1: like in the world of these deep fakes, and like

402
00:22:06,160 --> 00:22:08,880
Speaker 1: you're kind of already seeing it. It's like once deep

403
00:22:08,920 --> 00:22:13,680
Speaker 1: fakes become you know, indistinguishable from reality, which is the

404
00:22:13,760 --> 00:22:16,800
Speaker 1: naked I mean where you like a post reality, post

405
00:22:16,840 --> 00:22:20,040
Speaker 1: truth world anyway, But like once deep fakes or to

406
00:22:20,040 --> 00:22:22,879
Speaker 1: the point where you can't really discern if it's you know,

407
00:22:23,240 --> 00:22:25,880
Speaker 1: generated or not, then it's like there's gonna be total

408
00:22:26,000 --> 00:22:28,840
Speaker 1: chaos at some point. Yeah. Maybe the first thing will

409
00:22:28,880 --> 00:22:31,240
Speaker 1: be like an AI version of like The War of

410
00:22:31,280 --> 00:22:34,520
Speaker 1: the World's radio play. Yeah, someone will release something to

411
00:22:34,520 --> 00:22:37,159
Speaker 1: the Internet that you know, looks real and there's no

412
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Speaker 1: way to tell it's not real, and think a long

413
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Speaker 1: time or like a few days will pass before enough people. Yeah,

414
00:22:43,119 --> 00:22:46,840
Speaker 1: it's not fucking roll my god, or political blackmail. You know,

415
00:22:46,880 --> 00:22:48,359
Speaker 1: there's lots of fun stuff you could use it for.

416
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Speaker 1: I was shocked that Trump didn't move quick enough to

417
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Speaker 1: just claim the access Hollywood take is ye know what

418
00:22:57,440 --> 00:23:01,639
Speaker 1: that is a point? Yeah I heard it though, was

419
00:23:01,960 --> 00:23:05,360
Speaker 1: He's gonna claim this is a deep fag Anyways, all right,

420
00:23:05,920 --> 00:23:07,720
Speaker 1: let's take a quick break, we'll come back. We'll talk

421
00:23:07,760 --> 00:23:22,960
Speaker 1: about gun control, and we're back. So, in response to

422
00:23:23,000 --> 00:23:26,120
Speaker 1: the recent Nashville school shooting, which was the big shooting

423
00:23:26,320 --> 00:23:30,520
Speaker 1: before the Louisville school shooting, Tag Cruise reintroduced his Securing

424
00:23:30,600 --> 00:23:34,280
Speaker 1: Our Schools Act, which we'll call for cops in schools,

425
00:23:35,800 --> 00:23:39,359
Speaker 1: which I'm assuming would be less fun than when Arnold

426
00:23:39,359 --> 00:23:43,199
Speaker 1: Schwarzenegger did it in the early nineties. Kindergarten cop. We

427
00:23:43,200 --> 00:23:46,439
Speaker 1: can only hope, we can only hope that's what it's like.

428
00:23:46,560 --> 00:23:52,600
Speaker 1: So that's best we've seen best case scenario. And imagine

429
00:23:52,680 --> 00:23:58,560
Speaker 1: him like an LA public school Kimball, like, oh my god,

430
00:24:00,000 --> 00:24:07,119
Speaker 1: when we're having a head asked but Ted Cruise. The

431
00:24:07,160 --> 00:24:09,440
Speaker 1: plan is basically to fix mass shootings not with gun

432
00:24:09,480 --> 00:24:12,760
Speaker 1: control laws, but with more guns and police. And he

433
00:24:12,840 --> 00:24:15,480
Speaker 1: used banks as an example of how we should be

434
00:24:15,520 --> 00:24:19,640
Speaker 1: treating kids, because what kid wouldn't want to go learn

435
00:24:19,720 --> 00:24:23,159
Speaker 1: to read and write in a bank vault like environment.

436
00:24:23,440 --> 00:24:27,639
Speaker 1: So obviously, since the next big mass shooting was in

437
00:24:27,840 --> 00:24:33,080
Speaker 1: a bank, everyone is publicly mocking Ted Cruise because just

438
00:24:33,200 --> 00:24:35,520
Speaker 1: literally ten days after, he was like, we just need

439
00:24:35,560 --> 00:24:37,679
Speaker 1: to be more like banks, everyone. But this is all

440
00:24:37,680 --> 00:24:41,119
Speaker 1: coming out at the same time as a report from

441
00:24:41,720 --> 00:24:46,760
Speaker 1: Hugh and the CDC that says the gun death among

442
00:24:46,960 --> 00:24:51,280
Speaker 1: US kids increased fifty percent between twenty nineteen and twenty

443
00:24:51,840 --> 00:24:56,359
Speaker 1: twenty one. This is like massive, like it's shot up.

444
00:24:56,480 --> 00:25:00,200
Speaker 1: And this is at a time when gun owner ship

445
00:25:00,280 --> 00:25:04,359
Speaker 1: and just the amount of guns in US homes shot up.

446
00:25:04,720 --> 00:25:08,040
Speaker 1: So gun deaths of all sorts are rising. Guns suicides

447
00:25:08,080 --> 00:25:11,280
Speaker 1: are way up because gun ownership is way up. And

448
00:25:11,800 --> 00:25:14,760
Speaker 1: you know, as I've talked about numbers of times like

449
00:25:14,840 --> 00:25:20,680
Speaker 1: guns cause suicides, like there's a one to one correlation between,

450
00:25:20,840 --> 00:25:23,640
Speaker 1: like you're more likely to have a suicide in your

451
00:25:23,640 --> 00:25:25,320
Speaker 1: house if you have a gun in your house. Like

452
00:25:25,560 --> 00:25:29,639
Speaker 1: this goes back to other like the British cold gas study,

453
00:25:29,720 --> 00:25:34,040
Speaker 1: which I'm mocked for bringing up all the time, means reduction,

454
00:25:34,359 --> 00:25:38,879
Speaker 1: means reduction exactly, and just taking the opportunity, Like suicides

455
00:25:38,960 --> 00:25:44,000
Speaker 1: oftentimes are crimes of passion and crimes of opportunity committed

456
00:25:44,040 --> 00:25:48,160
Speaker 1: against oneself. But it's also you know, there's also plenty

457
00:25:48,160 --> 00:25:51,359
Speaker 1: of evidence that that's true of homicides that like, you know,

458
00:25:51,400 --> 00:25:54,719
Speaker 1: the homicides that we see in TV shows that are

459
00:25:54,760 --> 00:25:59,000
Speaker 1: carefully plotted out the exception and usually it's somebody having

460
00:25:59,160 --> 00:26:01,560
Speaker 1: the worst day of their life and having access to

461
00:26:01,640 --> 00:26:04,320
Speaker 1: a gun. There's also a bunch of like really troubling

462
00:26:04,400 --> 00:26:07,159
Speaker 1: data that they are able to point at but not

463
00:26:07,280 --> 00:26:13,400
Speaker 1: actually report about gun injuries from emergency rooms because the

464
00:26:13,440 --> 00:26:16,040
Speaker 1: gun industry and gun lobbies have made it him pot

465
00:26:16,200 --> 00:26:19,360
Speaker 1: Like they only have this data going back to like

466
00:26:19,480 --> 00:26:23,119
Speaker 1: the late nineties because the gun industry has been making

467
00:26:23,160 --> 00:26:27,280
Speaker 1: it almost impossible for them to collect data on gun

468
00:26:27,320 --> 00:26:30,560
Speaker 1: injuries and gun deaths, you know, because they have massive

469
00:26:30,560 --> 00:26:33,919
Speaker 1: amounts of money and that's what makes things happen, as

470
00:26:34,119 --> 00:26:37,040
Speaker 1: whoever has the most money, and the gun industry has

471
00:26:37,080 --> 00:26:40,239
Speaker 1: way more money than the CDC. So we're working with

472
00:26:40,359 --> 00:26:44,800
Speaker 1: limited data sets still, but it's pretty clear cut gun

473
00:26:44,800 --> 00:26:48,960
Speaker 1: ownership causes gun death. It's really that simple. Gun ownership

474
00:26:48,960 --> 00:26:54,760
Speaker 1: went up because the gun industry is constantly marketing itself

475
00:26:55,560 --> 00:27:00,280
Speaker 1: to people and you know, making shitloads of money off

476
00:27:00,320 --> 00:27:03,280
Speaker 1: of selling guns to people. It's the Homer Simpson beer

477
00:27:03,359 --> 00:27:07,320
Speaker 1: quote guns the cause of and solution to all of

478
00:27:07,440 --> 00:27:10,359
Speaker 1: life's problems. And that's just kind of the loop we're in.

479
00:27:10,480 --> 00:27:13,320
Speaker 1: And there's also another poll or like study that came

480
00:27:13,359 --> 00:27:16,119
Speaker 1: out from the Kaiser Foundation that just talking about like

481
00:27:16,119 --> 00:27:18,960
Speaker 1: the effect on people that all this gun violence has had.

482
00:27:19,000 --> 00:27:20,679
Speaker 1: Like they talk about how one in five say they

483
00:27:20,720 --> 00:27:23,920
Speaker 1: have personally been threatened with a gun. Okay, like just

484
00:27:24,119 --> 00:27:27,080
Speaker 1: one in five, right, one third of black adults and

485
00:27:27,359 --> 00:27:30,000
Speaker 1: Hispanic adults, around thirty three percent say they worry either

486
00:27:30,080 --> 00:27:33,200
Speaker 1: every day or almost every other day or almost every

487
00:27:33,280 --> 00:27:35,720
Speaker 1: day about themselves or someone they love being a victim

488
00:27:35,720 --> 00:27:38,000
Speaker 1: of gun violence, compared to one in ten and white

489
00:27:38,000 --> 00:27:40,760
Speaker 1: adults because the other thing is too. This also disproportionately

490
00:27:40,760 --> 00:27:43,879
Speaker 1: affects communities of color, especially Black people, and one in

491
00:27:43,920 --> 00:27:47,880
Speaker 1: five Black adults and Hispanic adults feel like gun related crimes, deaths,

492
00:27:47,920 --> 00:27:51,119
Speaker 1: and injuries are a quote constant threat to their local community,

493
00:27:51,280 --> 00:27:54,800
Speaker 1: which and that is only around eight percent with white adults. Then,

494
00:27:54,880 --> 00:27:57,119
Speaker 1: when you talk about like the effects it has on

495
00:27:57,160 --> 00:28:00,280
Speaker 1: people's behaviors, right, eighty four percent of view of US

496
00:28:00,320 --> 00:28:02,760
Speaker 1: adults say they have taken at least one precaution to

497
00:28:02,800 --> 00:28:06,680
Speaker 1: protect themselves or their families from the possibility of gun violence,

498
00:28:06,920 --> 00:28:09,920
Speaker 1: including talking to their kids or family about gun safety

499
00:28:10,240 --> 00:28:13,600
Speaker 1: or purchasing a weapon other than a gun. About a

500
00:28:13,760 --> 00:28:17,160
Speaker 1: third thirty five percent of people said they've avoided large

501
00:28:17,160 --> 00:28:20,000
Speaker 1: crowds such as music festivals or crowded bars and clubs

502
00:28:20,000 --> 00:28:22,720
Speaker 1: to protect themselves or their families from the possibility of

503
00:28:22,760 --> 00:28:25,960
Speaker 1: gun violence. Three and ten have purchased a gun to

504
00:28:26,040 --> 00:28:30,560
Speaker 1: protect themselves or their family from the possibility of gun violence. Yeah,

505
00:28:30,560 --> 00:28:34,120
Speaker 1: which is the one part of this that people can

506
00:28:34,160 --> 00:28:36,600
Speaker 1: make money off of. And in America, that's the one

507
00:28:36,640 --> 00:28:41,560
Speaker 1: thing that gets emphasized and raised the surface and you know,

508
00:28:42,120 --> 00:28:45,520
Speaker 1: put on steroids. Is whatever, the thing that money money

509
00:28:45,560 --> 00:28:48,960
Speaker 1: can be made off of. And the purchase of guns

510
00:28:49,000 --> 00:28:52,360
Speaker 1: as the solution to fear of guns. It seems to

511
00:28:52,360 --> 00:28:58,120
Speaker 1: be the only option that people know of, that they're

512
00:28:58,160 --> 00:29:01,320
Speaker 1: aware of. That really seems because everything else you're just

513
00:29:01,360 --> 00:29:04,320
Speaker 1: told like, well, you can't take guns away from people

514
00:29:04,360 --> 00:29:09,520
Speaker 1: because everybody will just flip out. But other countries, it's

515
00:29:09,520 --> 00:29:13,400
Speaker 1: worked in other countries before. There's no reason like it.

516
00:29:13,400 --> 00:29:17,200
Speaker 1: It's going to take years and probably like massive changes,

517
00:29:17,240 --> 00:29:20,920
Speaker 1: but it's it's happened before, and I don't see why.

518
00:29:21,280 --> 00:29:23,800
Speaker 1: I know people who like grew up in the Midwest

519
00:29:23,880 --> 00:29:26,960
Speaker 1: and the South, they're like, yeah, nice, like that, that's

520
00:29:27,000 --> 00:29:30,240
Speaker 1: just you being ignorant. But I think everybody thought that

521
00:29:30,280 --> 00:29:33,200
Speaker 1: in those other countries, and then you know, there was

522
00:29:33,240 --> 00:29:37,080
Speaker 1: an event that was bad enough to change people's opinion.

523
00:29:37,400 --> 00:29:40,440
Speaker 1: So yeah, well, based on how we problem solve in

524
00:29:40,440 --> 00:29:43,880
Speaker 1: this country. Once these stats are like ninety nine percent

525
00:29:43,920 --> 00:29:46,200
Speaker 1: of people have been threatened with a gun. Maybe then

526
00:29:46,680 --> 00:29:48,719
Speaker 1: something will happen because right now, especially when you look

527
00:29:48,760 --> 00:29:51,160
Speaker 1: at the disparity between the threats of gun violence between

528
00:29:51,200 --> 00:29:54,880
Speaker 1: certain populations, and you know, if that only eight percent

529
00:29:54,960 --> 00:29:59,000
Speaker 1: are affected, but they're controlling, you know, eighty five percent

530
00:29:59,000 --> 00:30:03,560
Speaker 1: of the policy decision. Yeah, you understand why that, Like,

531
00:30:03,680 --> 00:30:06,520
Speaker 1: there's just a complete disconnect from what the actual you know,

532
00:30:06,640 --> 00:30:09,040
Speaker 1: threats to our safety are and their willingness to do it,

533
00:30:09,080 --> 00:30:11,440
Speaker 1: because yeah, it's such it's so fucking cowardly to not

534
00:30:11,520 --> 00:30:13,959
Speaker 1: even attempt to do something about it and just use

535
00:30:14,000 --> 00:30:16,080
Speaker 1: the argument like, well, what are you gonna do? You know,

536
00:30:16,360 --> 00:30:19,360
Speaker 1: I guess treated like a bank. Yeah, more guns, I

537
00:30:19,400 --> 00:30:22,040
Speaker 1: think is the everything that we just talked about. I

538
00:30:22,120 --> 00:30:25,360
Speaker 1: think the answer is more guns or a RoboCop type scenario.

539
00:30:25,520 --> 00:30:28,760
Speaker 1: I don't know, ask chat GPT what it thinks. Yeah, exactly,

540
00:30:28,920 --> 00:30:32,280
Speaker 1: get get the AI in here. I'm a huge John

541
00:30:32,320 --> 00:30:34,600
Speaker 1: Wick fan, but I have to take this opportunity to

542
00:30:34,680 --> 00:30:38,320
Speaker 1: say that movies like the John Wick franchise they make

543
00:30:38,400 --> 00:30:43,240
Speaker 1: guns look a little too cool. Yeah, gun food. You

544
00:30:43,280 --> 00:30:45,800
Speaker 1: know what I mean, I got a new term for it. Yeah.

545
00:30:45,840 --> 00:30:47,600
Speaker 1: I like how they're like, but here's a thing, man,

546
00:30:47,720 --> 00:30:49,960
Speaker 1: we don't use like blanks like on our sets. We

547
00:30:49,960 --> 00:30:51,720
Speaker 1: don't even have to do that. I think is like

548
00:30:51,760 --> 00:30:53,720
Speaker 1: the way they're they're They're like, we're a little bit

549
00:30:53,720 --> 00:30:56,080
Speaker 1: more forward thinking for a film that is a ton

550
00:30:56,080 --> 00:30:59,120
Speaker 1: of gun playing it right, put those in a post,

551
00:30:59,320 --> 00:31:01,640
Speaker 1: you know what I mean? All Right? And we have

552
00:31:01,720 --> 00:31:05,680
Speaker 1: this Harvard McKenzie alum in San Francisco, who I think

553
00:31:05,800 --> 00:31:10,080
Speaker 1: is part of another trend we're seeing, which is, oh yeah, wealthy,

554
00:31:10,880 --> 00:31:16,280
Speaker 1: seemingly well intentioned upper class people showing their true colors

555
00:31:16,400 --> 00:31:19,600
Speaker 1: and being insulated enough to be like what what I'm

556
00:31:20,160 --> 00:31:24,080
Speaker 1: I'm just saying the clan was onto something. I didn't

557
00:31:24,200 --> 00:31:26,880
Speaker 1: use the words clan, But come on, why am I

558
00:31:27,000 --> 00:31:30,440
Speaker 1: being what? Now I'm being lynched just because I said

559
00:31:30,720 --> 00:31:34,600
Speaker 1: we should bring back lynchings. So yeah, this week's winner

560
00:31:34,720 --> 00:31:37,880
Speaker 1: is Michelle Tandler, which sounds like a bizarro version of

561
00:31:37,880 --> 00:31:40,440
Speaker 1: Michelle Tanner, like in Full House, if she grew up

562
00:31:40,440 --> 00:31:44,360
Speaker 1: in another dimension and became this person, but she's currently

563
00:31:44,440 --> 00:31:48,240
Speaker 1: living in Hell aka San Francisco in her mind, and

564
00:31:48,440 --> 00:31:51,200
Speaker 1: she decided that Easter Sunday would be a great opportunity

565
00:31:51,240 --> 00:31:53,880
Speaker 1: for her to go into full clan mode. She tweeted

566
00:31:53,920 --> 00:31:57,320
Speaker 1: this our society seems to have become seriously complacent. One

567
00:31:57,400 --> 00:32:00,280
Speaker 1: hundred years ago, in San Francisco, people were publicly hung

568
00:32:00,320 --> 00:32:03,680
Speaker 1: for their crimes, often by vigilante groups that wanted to

569
00:32:03,720 --> 00:32:07,840
Speaker 1: send a message. The hangings worked. Crime would plummet after

570
00:32:07,920 --> 00:32:11,000
Speaker 1: a few of them, often for many months at a time.

571
00:32:11,320 --> 00:32:13,800
Speaker 1: A few questions on my mind this morning. What changed

572
00:32:13,880 --> 00:32:17,480
Speaker 1: that the men of San Francisco went from creating vigilante

573
00:32:17,480 --> 00:32:20,680
Speaker 1: groups to being afraid to even tweet about crime? And

574
00:32:20,880 --> 00:32:24,800
Speaker 1: what would happen if a few meth dealers were publicly hung. Well,

575
00:32:24,800 --> 00:32:30,560
Speaker 1: that's an interesting idea, Michelle Handler. Hangings work. The hangings work.

576
00:32:30,880 --> 00:32:33,760
Speaker 1: Say what you will, Say what you will? They work.

577
00:32:33,880 --> 00:32:36,400
Speaker 1: I'm just saying I'm going off of just very anecdotal

578
00:32:36,400 --> 00:32:39,040
Speaker 1: evidence because I'm reading the book Barbary Coast about the

579
00:32:39,080 --> 00:32:42,240
Speaker 1: fucking gold Rush era in San Francisco, and I'm leaving

580
00:32:42,240 --> 00:32:47,160
Speaker 1: out the context that these vigilante groups. Again we hate adjectives,

581
00:32:47,160 --> 00:32:49,520
Speaker 1: don't we, or we hate to be specific. You're talking

582
00:32:49,520 --> 00:32:52,720
Speaker 1: about the Ku Klux Klan, and they rise to prominence

583
00:32:52,720 --> 00:32:55,200
Speaker 1: in the Bay Area during this time and this is

584
00:32:55,240 --> 00:32:57,960
Speaker 1: like in the beginning of the century, and so she

585
00:32:58,520 --> 00:33:01,360
Speaker 1: like wanted to clear the fuck record, and she's like,

586
00:33:01,400 --> 00:33:03,480
Speaker 1: I only brought it up because I read a book

587
00:33:03,560 --> 00:33:06,920
Speaker 1: about stuff like lynchings and things and it worked in there,

588
00:33:06,960 --> 00:33:09,400
Speaker 1: so I thought maybe it would be applicable here. Okay,

589
00:33:09,480 --> 00:33:13,920
Speaker 1: she's what the fuck? Sorry? And again you're still not convinced,

590
00:33:13,960 --> 00:33:16,320
Speaker 1: because this is the wild thing. She kept doubling down,

591
00:33:16,440 --> 00:33:18,440
Speaker 1: especially when other people were like, this is like, this

592
00:33:18,520 --> 00:33:21,120
Speaker 1: is a disgusting take. Also like what are you even saying?

593
00:33:21,120 --> 00:33:23,480
Speaker 1: Like and pointing out all the like the logical fallacies

594
00:33:23,520 --> 00:33:26,040
Speaker 1: and what she's talking about. She goes down and say, quote,

595
00:33:26,160 --> 00:33:29,200
Speaker 1: imagine this scenario. It's twelve thirty am and your dog

596
00:33:29,240 --> 00:33:31,080
Speaker 1: woke you up because it needs to go to the bathroom.

597
00:33:31,200 --> 00:33:33,640
Speaker 1: You walk outside and sleepily shuffle down the street and

598
00:33:33,680 --> 00:33:37,400
Speaker 1: your slippers. Suddenly you spot a man half naked with

599
00:33:37,440 --> 00:33:40,160
Speaker 1: a comfort or draped over him stumbling out of the

600
00:33:40,200 --> 00:33:46,840
Speaker 1: park toward you. What do you do? People's answer to

601
00:33:46,920 --> 00:33:48,680
Speaker 1: that is going, what do I do? I don't know,

602
00:33:50,240 --> 00:33:52,920
Speaker 1: I don't know. I think my first lives. There needs

603
00:33:52,920 --> 00:33:55,600
Speaker 1: to be more public housing and programs for people that

604
00:33:55,640 --> 00:33:58,280
Speaker 1: didn't go to Harvard. Yeah, you know, yeah, you shouldn't

605
00:33:58,280 --> 00:34:02,840
Speaker 1: bring back public executetions for Harvard and mckinski alarms. Yes,

606
00:34:04,800 --> 00:34:09,000
Speaker 1: you see that motherfucker like Republican donor who they just

607
00:34:09,080 --> 00:34:15,400
Speaker 1: renamed Harvard like school of Science after this motherfucker. Evil guys.

608
00:34:15,440 --> 00:34:20,600
Speaker 1: That's like a top activity. They're all named after evil guys.

609
00:34:20,600 --> 00:34:22,319
Speaker 1: It's just we have to keep doing it. It It would

610
00:34:22,360 --> 00:34:26,440
Speaker 1: be weird if we use the good guy. And but

611
00:34:26,520 --> 00:34:29,120
Speaker 1: that was like so wild, right, is like she assumes

612
00:34:29,239 --> 00:34:31,799
Speaker 1: most people's first thought would be that, oh, yeah, this

613
00:34:32,000 --> 00:34:35,799
Speaker 1: destitute person needs to get murk. Yeah, yeah, like or

614
00:34:35,840 --> 00:34:38,239
Speaker 1: what or I don't know what? I don't that that's

615
00:34:38,280 --> 00:34:41,360
Speaker 1: the example that she what's the proposy? Like what what?

616
00:34:41,360 --> 00:34:43,160
Speaker 1: What conclusion are we supposed to go? Like what do

617
00:34:43,239 --> 00:34:45,640
Speaker 1: I do? I don't know. I mean like if you're fearful,

618
00:34:45,719 --> 00:34:49,279
Speaker 1: then go back inside or something. But your local vigilante

619
00:34:49,360 --> 00:34:52,680
Speaker 1: leader he'll deal with it. Call your local grand wizard

620
00:34:53,640 --> 00:34:57,080
Speaker 1: and he'll wizard him away with his KKK powers, you

621
00:34:57,080 --> 00:35:00,200
Speaker 1: know what I mean? Oh, or called lynching. So I

622
00:35:00,239 --> 00:35:03,040
Speaker 1: don't know, like so like she again, she goes on

623
00:35:03,080 --> 00:35:04,799
Speaker 1: and on. She then she went it's like, oh wow,

624
00:35:04,840 --> 00:35:06,919
Speaker 1: I didn't realize my tweet would get such a great

625
00:35:07,000 --> 00:35:11,240
Speaker 1: such a stir check out my podcast. Yeah, no, guess

626
00:35:11,239 --> 00:35:13,640
Speaker 1: what that's like. Her company is like some kind of

627
00:35:13,680 --> 00:35:18,000
Speaker 1: like leadership at audio something, or rather it is. But yeah,

628
00:35:18,000 --> 00:35:20,120
Speaker 1: she kept bringing up the hard left, and I guess

629
00:35:20,120 --> 00:35:22,239
Speaker 1: she didn't realize that she was basically reading from the

630
00:35:22,280 --> 00:35:24,960
Speaker 1: same script as other violent racists have in the past

631
00:35:25,040 --> 00:35:26,920
Speaker 1: about like a call to arms. She'd be like, I mean,

632
00:35:26,920 --> 00:35:28,680
Speaker 1: how long are we going to let these freed black

633
00:35:28,719 --> 00:35:32,120
Speaker 1: people just run amuck in our town? And then you

634
00:35:32,200 --> 00:35:35,480
Speaker 1: get blinch mobs and shit, someone's got to do something right.

635
00:35:35,800 --> 00:35:38,360
Speaker 1: And it's like it's just again, we've got another fed

636
00:35:38,440 --> 00:35:41,279
Speaker 1: up person that thinks like the difficult discussion because she

637
00:35:41,280 --> 00:35:43,279
Speaker 1: brings up She's like, people just don't want they'd rather

638
00:35:43,360 --> 00:35:46,040
Speaker 1: virtual signal than have this difficult discussion. Like, so this

639
00:35:46,160 --> 00:35:48,840
Speaker 1: difficult discussion in trying to solve a drug epidemic and

640
00:35:48,880 --> 00:35:53,160
Speaker 1: the unhoused crisis, m is like about determining whether or

641
00:35:53,160 --> 00:35:55,640
Speaker 1: not they have the right to live. Right, this is

642
00:35:55,680 --> 00:35:58,760
Speaker 1: the McKenzie mindset. This is what they're changing one hundred.

643
00:35:58,800 --> 00:36:01,480
Speaker 1: Distill it down to a spreadsheet and figure out like, well,

644
00:36:01,480 --> 00:36:03,560
Speaker 1: I'm looking at data lynch mobs worked in the past.

645
00:36:03,680 --> 00:36:07,279
Speaker 1: Maybe that I'm looking at some graphs here and uh

646
00:36:07,560 --> 00:36:09,600
Speaker 1: and I'm like yeah, and you're merely just pointing out

647
00:36:09,600 --> 00:36:12,120
Speaker 1: a sequence of events. You're not necessarily being like, Yep,

648
00:36:12,440 --> 00:36:15,600
Speaker 1: that's causation, and it's all there, we got it all.

649
00:36:16,239 --> 00:36:18,680
Speaker 1: And again it's like with the way these people think,

650
00:36:18,719 --> 00:36:20,520
Speaker 1: we see it across the board when it comes to

651
00:36:20,640 --> 00:36:22,640
Speaker 1: like these kinds of issues that are about, you know,

652
00:36:22,719 --> 00:36:26,560
Speaker 1: having some empathy and also recognizing that maybe you have

653
00:36:26,640 --> 00:36:29,319
Speaker 1: resources that could be shared better if if you're like

654
00:36:29,440 --> 00:36:31,520
Speaker 1: hyper wealthy. And I don't know how wealthy this person is,

655
00:36:31,560 --> 00:36:34,360
Speaker 1: but it sounds like she's speaking for like the wanna

656
00:36:34,400 --> 00:36:37,440
Speaker 1: be billionaire millionaire set around her, Like it's just such

657
00:36:37,440 --> 00:36:40,080
Speaker 1: a zero sum game that like the thought of progressive

658
00:36:40,160 --> 00:36:43,840
Speaker 1: taxes is so scary that the alternative is to debate

659
00:36:44,080 --> 00:36:46,200
Speaker 1: not whether or not they should be giving more, but

660
00:36:46,280 --> 00:36:48,640
Speaker 1: whether or not these are humans. They're like, fuck that,

661
00:36:48,960 --> 00:36:51,359
Speaker 1: let's debate whether or not they should deserve to live.

662
00:36:51,400 --> 00:36:53,680
Speaker 1: I'm not here to talk about taxes, moving to figure

663
00:36:53,680 --> 00:36:57,760
Speaker 1: out if they're people. First of Yeah, Mackenzie, it's good group,

664
00:36:58,080 --> 00:37:04,120
Speaker 1: good good company, turning out top minds hitting you with

665
00:37:04,200 --> 00:37:08,040
Speaker 1: the lynch mob takes like come fuck, on. But here

666
00:37:08,120 --> 00:37:10,719
Speaker 1: we are. All right, let's take a quick break. We'll

667
00:37:10,760 --> 00:37:24,799
Speaker 1: be right back. And we're back. And so the new

668
00:37:24,840 --> 00:37:28,719
Speaker 1: Super Mario Brothers bafo bo as we mentioned trending episode

669
00:37:28,760 --> 00:37:33,560
Speaker 1: a couple days ago, and people are up in arms

670
00:37:33,680 --> 00:37:38,319
Speaker 1: because it's anti woke oh or no. So so they're

671
00:37:38,320 --> 00:37:42,080
Speaker 1: celebrating because they like. Charlie Kirk says Mario Brothers just

672
00:37:42,160 --> 00:37:44,359
Speaker 1: grows three hundred and seventy seven million dollars, a new

673
00:37:44,400 --> 00:37:48,120
Speaker 1: record for animated features, despite John leg Wislamo boycotting the

674
00:37:48,160 --> 00:37:51,799
Speaker 1: film because it messed up the inclusion casting two white men. Uh,

675
00:37:52,200 --> 00:37:54,279
Speaker 1: that's a good Charlie Kirk voice. He does sound like

676
00:37:54,320 --> 00:37:58,240
Speaker 1: that Nintendo refused to let Mario Brothers go woke. I've

677
00:37:58,320 --> 00:38:01,959
Speaker 1: never heard him speak actually just and I assume he's

678
00:38:02,000 --> 00:38:05,720
Speaker 1: that most in his voice is so infuriating. He sounds

679
00:38:05,760 --> 00:38:07,720
Speaker 1: like a guy who you're like, oh, you're a coward.

680
00:38:08,120 --> 00:38:09,800
Speaker 1: Like I can hear it in the way you speak,

681
00:38:09,840 --> 00:38:13,879
Speaker 1: like you go ahead. I was doing soft Ben Shapiro there,

682
00:38:13,960 --> 00:38:17,880
Speaker 1: that was my he like, Charlie Kirk is just Ben

683
00:38:17,920 --> 00:38:23,960
Speaker 1: Shapiro with tiny little teeth. Charlie Kirk's more like he's

684
00:38:24,239 --> 00:38:27,360
Speaker 1: just waiting. No, no, no, no, we're not Stephen Crowder.

685
00:38:27,440 --> 00:38:29,880
Speaker 1: The anti woke Super Mario Brothers movie just set a

686
00:38:29,920 --> 00:38:32,520
Speaker 1: global record. They just like need a win. I guess

687
00:38:32,640 --> 00:38:36,279
Speaker 1: yeah what this is sad my favorite. This is so

688
00:38:36,440 --> 00:38:41,920
Speaker 1: Jack Posobiac tweeted. The original creator of Mario Miyamoto, was

689
00:38:42,000 --> 00:38:44,719
Speaker 1: heavily involved with the production of the animated film and

690
00:38:44,760 --> 00:38:47,160
Speaker 1: insisted that it have as little plot as possible and

691
00:38:47,239 --> 00:38:50,239
Speaker 1: just feel like one of the games. Okay, that's a

692
00:38:50,280 --> 00:38:53,319
Speaker 1: cool fact. And then he second paragraph it has no

693
00:38:53,400 --> 00:38:56,400
Speaker 1: woke narratives and all the characters are exactly like the

694
00:38:56,440 --> 00:39:02,080
Speaker 1: original game. So somehom not having a a narrative is

695
00:39:02,160 --> 00:39:05,440
Speaker 1: a anti woke decision. That is just so funny, Like,

696
00:39:05,680 --> 00:39:09,480
Speaker 1: clearly he's mis misinterpreting this quote where this guy she

697
00:39:09,680 --> 00:39:12,360
Speaker 1: give a Miamoto is like, I think it'll have the

698
00:39:12,400 --> 00:39:15,479
Speaker 1: most broad appeal if we get to the basics, which

699
00:39:15,520 --> 00:39:17,719
Speaker 1: is to make it feel like the video game and

700
00:39:17,800 --> 00:39:20,080
Speaker 1: not have a ton of plot that maybe people have

701
00:39:20,160 --> 00:39:22,000
Speaker 1: to follow. And I just like that. They take that

702
00:39:22,040 --> 00:39:25,160
Speaker 1: and go it's because he's anti woke. Come on, Miamoto,

703
00:39:25,560 --> 00:39:28,320
Speaker 1: bring it home. Um, this is all very funny because

704
00:39:28,320 --> 00:39:32,000
Speaker 1: coming into the movie, the big narrative was the Mario

705
00:39:32,080 --> 00:39:36,279
Speaker 1: movie was two woke because Princess Peach is a girl

706
00:39:36,320 --> 00:39:38,920
Speaker 1: boss who saves the day and the movie features Mario

707
00:39:39,040 --> 00:39:44,120
Speaker 1: Kart's Rainbow Road aka Pride Flag nonsense. Just when you

708
00:39:44,200 --> 00:39:48,760
Speaker 1: thought the culture war couldn't get any stupider, Yeah, yeah,

709
00:39:49,080 --> 00:39:52,160
Speaker 1: here we go, baby, they're on it. Yeah. The the

710
00:39:52,800 --> 00:39:56,479
Speaker 1: woman who I think it we're referencing this one woman

711
00:39:56,520 --> 00:39:58,799
Speaker 1: who was like on her live stream talking about how

712
00:39:58,840 --> 00:40:01,799
Speaker 1: like Princess Peaches causing like this, like you know, like

713
00:40:02,040 --> 00:40:04,840
Speaker 1: boss bitch stuff. It's like it's gonna get women killed.

714
00:40:06,719 --> 00:40:09,759
Speaker 1: They're gonna like into a cart of some kind and

715
00:40:09,800 --> 00:40:13,120
Speaker 1: they will be speeding off down a road that's suspended

716
00:40:13,160 --> 00:40:17,160
Speaker 1: in space somehow that's rainbow light. They're like, no, all

717
00:40:17,200 --> 00:40:20,840
Speaker 1: this like badass, bad bitch feminism. They're gonna start thinking,

718
00:40:20,880 --> 00:40:23,440
Speaker 1: like you know, if if shit goes down, they're gonna think, oh,

719
00:40:23,520 --> 00:40:25,759
Speaker 1: I can start fighting this guy, or I can handle

720
00:40:27,680 --> 00:40:30,319
Speaker 1: you'reng you better find a red one so it knows

721
00:40:30,360 --> 00:40:32,600
Speaker 1: it's seeking its enemy. I don't. I don't trust you

722
00:40:32,640 --> 00:40:34,200
Speaker 1: with a loose green shell, and I don't know if

723
00:40:34,200 --> 00:40:36,960
Speaker 1: your AIM's that good. But like that was like the whole.

724
00:40:37,040 --> 00:40:39,799
Speaker 1: Like one of the takes was just like, yeah, women

725
00:40:39,840 --> 00:40:42,239
Speaker 1: are gonna think that they are now John Wick, and

726
00:40:42,440 --> 00:40:44,200
Speaker 1: it's gonna get them killed. And this is the this

727
00:40:44,280 --> 00:40:46,440
Speaker 1: is the future liberals want, folks. Yea, they want to

728
00:40:46,480 --> 00:40:49,279
Speaker 1: kill women this way. Princess Peach, who is portrayed as

729
00:40:49,280 --> 00:40:52,560
Speaker 1: a fierce leader that can and will defend her kingdom,

730
00:40:52,800 --> 00:40:55,480
Speaker 1: next to her Summer saying that Mario, who seems to

731
00:40:55,520 --> 00:40:57,560
Speaker 1: be just a normal guy at the start of the movie,

732
00:40:57,800 --> 00:41:00,720
Speaker 1: is bumbling empathetic while Peach is a girl who saves

733
00:41:00,760 --> 00:41:03,640
Speaker 1: the day. That is something that like seemed evident from

734
00:41:03,840 --> 00:41:06,799
Speaker 1: the trailer is that Mario is pathetic and like kind

735
00:41:06,800 --> 00:41:09,480
Speaker 1: of they seem to be emphasizing that he was like

736
00:41:10,000 --> 00:41:12,520
Speaker 1: kind of a dipshit Mario, you know what I mean,

737
00:41:12,520 --> 00:41:16,319
Speaker 1: it's fun like that. I love that so that but yeah,

738
00:41:16,360 --> 00:41:18,800
Speaker 1: so I can see how if this movie had tanked,

739
00:41:18,920 --> 00:41:21,279
Speaker 1: they would have been all over the well, they just

740
00:41:21,360 --> 00:41:25,000
Speaker 1: want to ruin our family values by making a man

741
00:41:25,160 --> 00:41:28,560
Speaker 1: who gets beat up and a woman who's tough. Um,

742
00:41:28,600 --> 00:41:30,919
Speaker 1: but of course it went the other way, and they

743
00:41:30,960 --> 00:41:33,920
Speaker 1: need a win. They need a culture win bad. So

744
00:41:33,960 --> 00:41:37,120
Speaker 1: then are they now They're like, wait, it's gone woke now,

745
00:41:37,840 --> 00:41:40,360
Speaker 1: like they're like, just like the whiplash of the takes

746
00:41:40,400 --> 00:41:42,440
Speaker 1: now they're like, yeah, good for them, and they're like, wait,

747
00:41:43,360 --> 00:41:45,839
Speaker 1: has anyone come back around to be like, actually, it

748
00:41:45,880 --> 00:41:49,320
Speaker 1: turns out it is kind of woke, So never mind.

749
00:41:49,600 --> 00:41:52,000
Speaker 1: I think they're no, I think they're just they were

750
00:41:52,040 --> 00:41:54,320
Speaker 1: complaining it was woke before it came out and everyone

751
00:41:54,360 --> 00:41:57,560
Speaker 1: went to see it. But they are so desperate for

752
00:41:57,800 --> 00:42:02,880
Speaker 1: a pop culture line in after after Ben Shapiro released

753
00:42:02,920 --> 00:42:05,920
Speaker 1: his like three movies last year that made I think

754
00:42:05,960 --> 00:42:09,719
Speaker 1: they broke a record for the least money made by

755
00:42:09,760 --> 00:42:13,400
Speaker 1: like one of the movies that had um the Mma

756
00:42:13,480 --> 00:42:18,880
Speaker 1: Fighter who got canceled. Yeah, they like they released a

757
00:42:19,000 --> 00:42:23,080
Speaker 1: movie starring her and it made the least money that

758
00:42:23,200 --> 00:42:26,799
Speaker 1: a movie has ever made that was like like in

759
00:42:26,960 --> 00:42:31,200
Speaker 1: movie theaters. And so they are desperate for any sort

760
00:42:31,239 --> 00:42:35,160
Speaker 1: of cultural relevance, so they sit back, they wait to

761
00:42:35,160 --> 00:42:37,640
Speaker 1: see how a movie does, and then they grafted their

762
00:42:37,680 --> 00:42:40,920
Speaker 1: political opinions on the ones that do well. The Nintendo

763
00:42:40,960 --> 00:42:43,239
Speaker 1: guys should should just fuck with these guys and just

764
00:42:43,280 --> 00:42:45,719
Speaker 1: come out and just be like, totis trans I don't know,

765
00:42:45,800 --> 00:42:48,120
Speaker 1: I don't know what I'll tell you you didn't get

766
00:42:48,120 --> 00:42:50,400
Speaker 1: that from the movies. Yeah, trans you didn't know that.

767
00:42:50,520 --> 00:42:52,600
Speaker 1: Oh wow, okay, I thought you guys were supporting that.

768
00:42:52,640 --> 00:42:57,400
Speaker 1: Now she's polyamorous ethically but polyamorous, yes, obviously obviously, but

769
00:42:57,520 --> 00:43:00,960
Speaker 1: I guess. Yeah, it must be really hard to just

770
00:43:01,600 --> 00:43:04,399
Speaker 1: like think, just take L after L and like the

771
00:43:04,440 --> 00:43:06,440
Speaker 1: culture war that, like they really want to be like

772
00:43:06,480 --> 00:43:09,920
Speaker 1: they just they so badly want like they're I mean,

773
00:43:09,920 --> 00:43:12,160
Speaker 1: I don't know, fucking Avatar. You should be like Avatar

774
00:43:12,200 --> 00:43:15,080
Speaker 1: and then go back to those colonial narratives like don't

775
00:43:15,080 --> 00:43:18,600
Speaker 1: you like that? No, maybe not, I don't know. It's

776
00:43:18,600 --> 00:43:21,919
Speaker 1: about a guy who thinks he's he's trans species. It's

777
00:43:21,920 --> 00:43:25,480
Speaker 1: all fu like, oh fuck off, please, that's why it

778
00:43:25,520 --> 00:43:29,680
Speaker 1: was only the fourth biggest movie of all time. Jesus

779
00:43:30,120 --> 00:43:36,560
Speaker 1: and them that they can't sing at the Bodyguard musical, great,

780
00:43:36,960 --> 00:43:41,000
Speaker 1: this fucking rules. So there's a stage like you could

781
00:43:41,000 --> 00:43:44,320
Speaker 1: tell me there's a stage musical adaptation of any movie

782
00:43:44,560 --> 00:43:47,200
Speaker 1: and that it's good at this point, and I'm just like, yeah,

783
00:43:47,239 --> 00:43:49,879
Speaker 1: that that totally makes sense. So there there is one

784
00:43:49,920 --> 00:43:55,120
Speaker 1: for the Bodyguard. It's apparently very popular. Uh, it's making

785
00:43:55,160 --> 00:43:59,480
Speaker 1: the rounds in the UK at UK theater destinations and

786
00:43:59,680 --> 00:44:03,920
Speaker 1: people are having a hard time not singing over the actors.

787
00:44:04,160 --> 00:44:07,200
Speaker 1: Oh man, it's I didn't. This is so funny because

788
00:44:07,239 --> 00:44:10,080
Speaker 1: there's another like viral thing like that was on TikTok

789
00:44:10,160 --> 00:44:13,600
Speaker 1: recently about like people holding up signs at concerts and

790
00:44:13,719 --> 00:44:16,000
Speaker 1: just like the general like, what is etiquette anymore at

791
00:44:16,000 --> 00:44:19,080
Speaker 1: a show? Like can you unfurl a gigantic banner that

792
00:44:19,120 --> 00:44:22,120
Speaker 1: prevents people two rows behind you from singing the fucking stage?

793
00:44:22,560 --> 00:44:25,280
Speaker 1: Or can you scream at the top of your lungs

794
00:44:25,800 --> 00:44:29,040
Speaker 1: during a fucking musical because you want to? You think

795
00:44:29,080 --> 00:44:31,600
Speaker 1: you can sing Whitney Houston the people in the fucking

796
00:44:32,160 --> 00:44:34,520
Speaker 1: I think Peter should be more rowdy, So I'm actually

797
00:44:34,600 --> 00:44:38,080
Speaker 1: supported these people. I think people should be unfurling banners

798
00:44:38,080 --> 00:44:41,120
Speaker 1: at cats, Like get the fuck out of here, mister Mustopolis.

799
00:44:41,320 --> 00:44:43,400
Speaker 1: I want the crowd. I want the crowd rounding it

800
00:44:43,480 --> 00:44:47,879
Speaker 1: up for theater. You know, we're gonna like one that's

801
00:44:47,880 --> 00:44:53,520
Speaker 1: a sing along show for the professionally drunk. You know

802
00:44:53,640 --> 00:44:56,719
Speaker 1: Shakespeare shows. Everyone was drunk, Everyone was rowdy. The rich

803
00:44:56,840 --> 00:44:59,200
Speaker 1: guys were getting blow jobs up in the top things.

804
00:44:59,280 --> 00:45:02,479
Speaker 1: It was a aunchy it was real, baby, bring people

805
00:45:02,480 --> 00:45:04,799
Speaker 1: on the floor. Seats. They were doing their thing too. Yeah,

806
00:45:04,920 --> 00:45:07,279
Speaker 1: the Orange Girls were selling sacks. I mean it was

807
00:45:07,320 --> 00:45:10,560
Speaker 1: it was a sordid type of vibe. I say, bring

808
00:45:10,600 --> 00:45:12,640
Speaker 1: it back. Have you seen the Do you see the

809
00:45:12,680 --> 00:45:15,360
Speaker 1: clip though? That like, how like how much of a

810
00:45:15,440 --> 00:45:20,400
Speaker 1: fucking disruption this thing? I do want to feel like

811
00:45:20,560 --> 00:45:24,719
Speaker 1: it's been described as a mini riot. I personally like,

812
00:45:25,160 --> 00:45:27,960
Speaker 1: have you ever been at a concert and like been

813
00:45:28,040 --> 00:45:31,520
Speaker 1: singing along and people kind of tell you to shut

814
00:45:31,560 --> 00:45:35,080
Speaker 1: the fuck up? No? I mean it's been so loud

815
00:45:35,239 --> 00:45:39,600
Speaker 1: that like possibly sing I get in a theater. That's

816
00:45:39,719 --> 00:45:42,200
Speaker 1: different than being like an outdoor concert. Maybe they're just

817
00:45:42,200 --> 00:45:44,960
Speaker 1: getting swept away. In the Bodyguard narrative, you have to

818
00:45:45,040 --> 00:45:47,520
Speaker 1: let these people be transported. It's called the willing, especially

819
00:45:47,560 --> 00:45:51,200
Speaker 1: of disbelief. It's why we go to the theater. I got.

820
00:45:51,239 --> 00:45:54,400
Speaker 1: I got shamed at a Radiohead concert in my twenties

821
00:45:54,640 --> 00:45:59,000
Speaker 1: because like drunk at a Radiohead concert. What song? What song?

822
00:45:59,080 --> 00:46:01,000
Speaker 1: Let's hear it. I don't remember which song it was.

823
00:46:01,440 --> 00:46:04,000
Speaker 1: I just remember the person looking at me and just

824
00:46:04,040 --> 00:46:10,000
Speaker 1: like giving the most like some stage yeah, like stage

825
00:46:10,040 --> 00:46:15,320
Speaker 1: scoff not could you? Yeah? I believe they said something

826
00:46:15,360 --> 00:46:18,680
Speaker 1: directly to me couldn't couldn't help myself, that is. I

827
00:46:18,719 --> 00:46:22,400
Speaker 1: mean the one time I've a like shamed somebody during

828
00:46:22,440 --> 00:46:25,320
Speaker 1: like a performance was I was watching nine inch Nails

829
00:46:25,560 --> 00:46:29,520
Speaker 1: and this guy was juggling like led ball like light

830
00:46:29,600 --> 00:46:32,520
Speaker 1: up balls next to me. Yeah. I've mentioned this before,

831
00:46:32,560 --> 00:46:40,760
Speaker 1: like the for so long. Yeah, that's like you're flinging, drawing,

832
00:46:41,960 --> 00:46:44,399
Speaker 1: and I'm like, he's playing piggy right now. They don't

833
00:46:44,440 --> 00:46:46,919
Speaker 1: do this. Live that off and put your fucking poise down,

834
00:46:47,000 --> 00:46:50,400
Speaker 1: you fucking herb. This is a rave. It was, and

835
00:46:50,440 --> 00:46:52,960
Speaker 1: it was tight man, Like I wanted to get up close,

836
00:46:53,000 --> 00:46:54,640
Speaker 1: like I had never seen them, and I've always wanted

837
00:46:54,640 --> 00:46:56,440
Speaker 1: to see like, you know, nine inch nails, like you know,

838
00:46:56,520 --> 00:46:59,080
Speaker 1: my like nineties kid thing, and like so we're like

839
00:46:59,360 --> 00:47:02,000
Speaker 1: smushed up pretty close and this guy needs like elbow

840
00:47:02,120 --> 00:47:05,080
Speaker 1: room to juggle these balls. I got to see how

841
00:47:05,080 --> 00:47:07,160
Speaker 1: good he is a juggling. That's the main thing. That's

842
00:47:07,160 --> 00:47:11,040
Speaker 1: what it was. Kind of wild, like I'm not joking,

843
00:47:11,280 --> 00:47:12,719
Speaker 1: like this is what he looked like the whole show,

844
00:47:14,520 --> 00:47:16,640
Speaker 1: just watching the stage. He was just he was on

845
00:47:16,719 --> 00:47:19,560
Speaker 1: so many he try to see him and and to like,

846
00:47:19,760 --> 00:47:24,759
Speaker 1: you know, get up here, get up here, man, we're

847
00:47:24,800 --> 00:47:28,000
Speaker 1: about to do like a whole for something to add

848
00:47:28,040 --> 00:47:30,600
Speaker 1: to our show, and you got it. Man. What's your name?

849
00:47:31,560 --> 00:47:34,920
Speaker 1: My name's Brent. Hey, give it up for Brent, everybody. Yeah,

850
00:47:34,920 --> 00:47:37,000
Speaker 1: thank you so much. Man. I've been juggling for about

851
00:47:37,000 --> 00:47:42,080
Speaker 1: fifteen years. I'm really glad to be here. Yeah. There

852
00:47:42,160 --> 00:47:45,120
Speaker 1: is something with people who like get locked into juggling,

853
00:47:45,200 --> 00:47:49,120
Speaker 1: Like there's uh, when I used to run, there would

854
00:47:49,120 --> 00:47:52,040
Speaker 1: be people who like did entire marathons while juggling the

855
00:47:52,080 --> 00:47:57,240
Speaker 1: whole time for no real reason, like it's like knitting

856
00:47:57,360 --> 00:48:01,160
Speaker 1: or something. You know, it's just their minds. But I

857
00:48:01,200 --> 00:48:04,000
Speaker 1: think that is kind of like why, Like on some level, right,

858
00:48:04,000 --> 00:48:06,040
Speaker 1: I think that's why it's kind of relatable when people

859
00:48:06,080 --> 00:48:08,920
Speaker 1: do sing at concerts. But then like there's that fine

860
00:48:08,960 --> 00:48:11,560
Speaker 1: line between like this is so enjoyable for me and

861
00:48:11,560 --> 00:48:13,319
Speaker 1: like I just want to feel like I'm connecting with

862
00:48:13,320 --> 00:48:15,520
Speaker 1: like the music that I'm always just singing by myself

863
00:48:15,640 --> 00:48:17,640
Speaker 1: or whatever. And then there are the people who I

864
00:48:17,680 --> 00:48:20,640
Speaker 1: think are doing the thing. We're like, watch me fucking

865
00:48:20,800 --> 00:48:23,799
Speaker 1: crush this, and everyone around me is going to be like,

866
00:48:23,840 --> 00:48:26,640
Speaker 1: oh my god, you should actually be in the fucking play.

867
00:48:26,719 --> 00:48:28,800
Speaker 1: I mean when I was singing at the Radiohead concert.

868
00:48:28,840 --> 00:48:30,839
Speaker 1: I did have my back to the stage and I

869
00:48:30,920 --> 00:48:35,280
Speaker 1: was standing on the seats directly in front, projected really hard.

870
00:48:35,840 --> 00:48:38,879
Speaker 1: I gotta hit the back of the room stop yelling.

871
00:48:39,960 --> 00:48:42,800
Speaker 1: Is that I Will Always Love you so yeah, among others,

872
00:48:42,840 --> 00:48:45,000
Speaker 1: but that was where it hit a if you hear

873
00:48:45,160 --> 00:48:48,520
Speaker 1: that song when that fucking no kicks into overdrive, what

874
00:48:48,600 --> 00:48:50,960
Speaker 1: are you not gonna try? I mean, come on, I

875
00:48:51,000 --> 00:48:55,799
Speaker 1: don't know, and you're gonna try it? I would? I know,

876
00:48:55,840 --> 00:48:59,360
Speaker 1: I've look, I've done it many times since since time immemorial.

877
00:48:59,400 --> 00:49:01,760
Speaker 1: I've been singing that song. But part of me knows

878
00:49:01,840 --> 00:49:04,279
Speaker 1: I sing so like there's no way I could do

879
00:49:04,320 --> 00:49:06,960
Speaker 1: it justice that at that point it is more enjoyable

880
00:49:06,960 --> 00:49:09,879
Speaker 1: for me personally. It's more pleasurable to hear someone else

881
00:49:09,920 --> 00:49:12,359
Speaker 1: sing it and I'll mouth along, but I don't need

882
00:49:12,400 --> 00:49:15,680
Speaker 1: to be belting it out. That's that's my song in

883
00:49:15,719 --> 00:49:18,960
Speaker 1: your heart? All right? Well this is in the UK, right,

884
00:49:19,000 --> 00:49:22,479
Speaker 1: so that means everyone is hammered. We need get married. Yeah.

885
00:49:22,840 --> 00:49:25,880
Speaker 1: They have intermissions at with Jen Bars Theater, so you

886
00:49:26,000 --> 00:49:28,520
Speaker 1: go and get more drunk, get intermission. That song is

887
00:49:28,560 --> 00:49:31,160
Speaker 1: probably at the end. I don't know if the have anyone, no,

888
00:49:31,400 --> 00:49:37,400
Speaker 1: just just I want to see it. I saw a

889
00:49:37,440 --> 00:49:40,279
Speaker 1: glass menagerie in London and like it was the first

890
00:49:40,320 --> 00:49:42,640
Speaker 1: time I've seen like theater in like London, and I

891
00:49:42,680 --> 00:49:45,239
Speaker 1: was like, oh, this is cool. The amount of the

892
00:49:45,280 --> 00:49:48,239
Speaker 1: amount of gin that was being drank free show and

893
00:49:48,360 --> 00:49:51,000
Speaker 1: during the intermission, I was like, oh, I get why

894
00:49:51,040 --> 00:49:53,920
Speaker 1: people with the intermission is designed to get more drunk.

895
00:49:54,160 --> 00:49:57,080
Speaker 1: That all British shows have an intermission, Like British stand

896
00:49:57,120 --> 00:50:00,880
Speaker 1: up comedy shows have an intermission. Go re up, go

897
00:50:00,920 --> 00:50:03,520
Speaker 1: re up real quick, right, yeah, exactly, So we gotta

898
00:50:03,560 --> 00:50:06,640
Speaker 1: factor that into this. I think, are but are we

899
00:50:06,760 --> 00:50:09,720
Speaker 1: as this are as Americans? If we were getting fucking

900
00:50:09,960 --> 00:50:13,120
Speaker 1: shit hammered and then had this stuff go on, Like

901
00:50:13,160 --> 00:50:17,279
Speaker 1: I wonder how like how violent Americans? You'd be worried

902
00:50:17,320 --> 00:50:20,359
Speaker 1: someone would shoot you. You know, You're like, you know nothing,

903
00:50:20,440 --> 00:50:24,239
Speaker 1: nothing can stop a solo like a good guy with

904
00:50:24,280 --> 00:50:27,200
Speaker 1: the gun, you know, as we as we all know said.

905
00:50:27,239 --> 00:50:30,000
Speaker 1: Cruz has famously said, yeah, they don't have guns in England.

906
00:50:30,000 --> 00:50:32,040
Speaker 1: No one's gonna get shot in there over this just

907
00:50:32,120 --> 00:50:35,319
Speaker 1: really stern looks. It's wild though, that they brought the

908
00:50:35,360 --> 00:50:39,120
Speaker 1: house lights up like it was the mic, that's wild.

909
00:50:39,280 --> 00:50:43,760
Speaker 1: The actor playing Whitney Houston's role, they cut her, lights

910
00:50:43,840 --> 00:50:46,240
Speaker 1: came up, The people who were singing in the crowd

911
00:50:46,280 --> 00:50:48,600
Speaker 1: were thrown out of the show. Who comes out to

912
00:50:48,680 --> 00:50:51,520
Speaker 1: yell at you, like the director, like the stage manager

913
00:50:51,560 --> 00:50:55,200
Speaker 1: with the clipboard, who they say out there, please They

914
00:50:55,239 --> 00:50:58,920
Speaker 1: have signs up everywhere that's say, please refrain from singing

915
00:50:58,960 --> 00:51:02,600
Speaker 1: along at this theater because it's just such a problem.

916
00:51:02,719 --> 00:51:05,960
Speaker 1: Because that song is there's something about it that it

917
00:51:06,040 --> 00:51:09,399
Speaker 1: just brings out your inner Whitney. I like that. Though.

918
00:51:09,800 --> 00:51:11,759
Speaker 1: There used to be like riots, like in Turn of

919
00:51:11,800 --> 00:51:13,960
Speaker 1: the Centry, New York, there were these famous riots over

920
00:51:14,040 --> 00:51:17,360
Speaker 1: plays because one actor was cast over another actor. So

921
00:51:17,400 --> 00:51:19,520
Speaker 1: it was like back in the day, theater would inspire

922
00:51:19,560 --> 00:51:21,880
Speaker 1: these passions people riding over a play. It was like

923
00:51:21,920 --> 00:51:24,640
Speaker 1: a famous thing, like let's let's bring that back. Let's

924
00:51:24,719 --> 00:51:27,040
Speaker 1: let theater get people stirred up again, you know, right

925
00:51:27,200 --> 00:51:32,000
Speaker 1: right right. They used to riot over hats, Yeah, the

926
00:51:32,080 --> 00:51:35,279
Speaker 1: straw hat riots. Maybe we just need to be rioting more, like, look,

927
00:51:35,600 --> 00:51:38,160
Speaker 1: you they try to raise the retirement age one year,

928
00:51:38,400 --> 00:51:41,799
Speaker 1: the Frenches throw a flaming oil barrel through a cop car. Immediately,

929
00:51:42,120 --> 00:51:46,560
Speaker 1: we need to get that French mindset. Yeah, oh man, Yeah,

930
00:51:46,640 --> 00:51:49,400
Speaker 1: we're all too busy working. But maybe with the advent

931
00:51:49,440 --> 00:51:52,640
Speaker 1: of AI, yeah, maybe these robot dogs can you know,

932
00:51:52,719 --> 00:51:54,560
Speaker 1: light my workload a little bit. I can go throw

933
00:51:54,600 --> 00:51:57,000
Speaker 1: a brick at a play. Your robot dog can take

934
00:51:57,040 --> 00:51:59,239
Speaker 1: your actual dog for a walk at night, so you

935
00:51:59,239 --> 00:52:05,040
Speaker 1: don't have to worry about being frightened somebody. Yeah, right,

936
00:52:05,200 --> 00:52:08,520
Speaker 1: and the like. So that was clearly based on something

937
00:52:08,560 --> 00:52:11,200
Speaker 1: that happened to her. That was like the most terrifying thing.

938
00:52:11,280 --> 00:52:19,320
Speaker 1: That's robot dog advocate. She's like the dogs ro robot

939
00:52:19,320 --> 00:52:21,920
Speaker 1: dog for sure. Again, as long as I don't have

940
00:52:22,000 --> 00:52:23,760
Speaker 1: to deal with it, I don't want to have anything.

941
00:52:24,000 --> 00:52:25,600
Speaker 1: Look if I, if it's up to me, I would

942
00:52:25,640 --> 00:52:27,560
Speaker 1: get rid of them all. I think it's kind of

943
00:52:27,600 --> 00:52:32,200
Speaker 1: like how these people are thinking. And finally, uh, big news.

944
00:52:32,400 --> 00:52:35,040
Speaker 1: You can order Domino's pizza with a touch of a

945
00:52:35,040 --> 00:52:39,120
Speaker 1: button while speeding down the street in an suv. They're

946
00:52:39,160 --> 00:52:41,319
Speaker 1: introducing a new feature that will allow you to order

947
00:52:41,360 --> 00:52:44,640
Speaker 1: pizza via Apple's car play display, so you don't even

948
00:52:44,680 --> 00:52:50,320
Speaker 1: have to stop continuously burning fossil fuels while ordering greasy

949
00:52:50,360 --> 00:52:52,719
Speaker 1: slabs of bread and cheese. Great dough we love the

950
00:52:52,719 --> 00:52:55,479
Speaker 1: New Crust though, love I love the New Crust. Dude

951
00:52:55,520 --> 00:52:57,799
Speaker 1: on your phone while you're driving, Like, what are we

952
00:52:57,840 --> 00:53:02,960
Speaker 1: gaining here in functionality? Because too much of the distraction

953
00:53:04,560 --> 00:53:10,080
Speaker 1: but your computer screen up your car CarPlay is fucking dangerous. Yes,

954
00:53:10,360 --> 00:53:12,719
Speaker 1: of course, look and I'm not trying to look. We

955
00:53:12,920 --> 00:53:15,200
Speaker 1: put myself on blast. I'm way better at finding the

956
00:53:15,280 --> 00:53:17,719
Speaker 1: music I need to on Spotify on my phone. Yeah,

957
00:53:17,719 --> 00:53:20,359
Speaker 1: and I am on CarPlay and like I'm like, I'm

958
00:53:20,400 --> 00:53:23,520
Speaker 1: like looking at it while trying to Yeah, it's very

959
00:53:23,640 --> 00:53:26,799
Speaker 1: automatically takes over your thing and then you can't like

960
00:53:26,920 --> 00:53:31,200
Speaker 1: it's just a extra interface to get used to. Also,

961
00:53:31,280 --> 00:53:33,520
Speaker 1: that means the pizza tracker will come up on your

962
00:53:33,760 --> 00:53:37,240
Speaker 1: car computer through CarPlay, and you'll be too busy watching

963
00:53:37,360 --> 00:53:39,560
Speaker 1: the pizza tracker go. You'd be like, oh, he's making

964
00:53:39,560 --> 00:53:42,880
Speaker 1: it now, picking it up. You're gonna slamming something of you.

965
00:53:43,120 --> 00:53:45,960
Speaker 1: The tragedy would be that you have a terrible accident

966
00:53:46,000 --> 00:53:48,799
Speaker 1: with the delivery person pizza tracker on your car. They're like,

967
00:53:49,239 --> 00:53:52,520
Speaker 1: poor bastard, he's fan. You'll never get together the lex Pepperoni.

968
00:53:52,680 --> 00:53:55,000
Speaker 1: It's being delivered to his house right now. Seen in

969
00:53:55,040 --> 00:53:58,320
Speaker 1: a hundred times. Yeah. I mean people have expressed concern

970
00:53:58,360 --> 00:54:01,000
Speaker 1: about Apple's car displays because they have the potential to

971
00:54:01,080 --> 00:54:05,480
Speaker 1: distract drivers just as much as iPhones. One possible feature

972
00:54:05,960 --> 00:54:12,439
Speaker 1: reportedly involves carplay's display being projected onto the windshield itself. What,

973
00:54:13,440 --> 00:54:16,040
Speaker 1: Because the idea is, then you don't have to take

974
00:54:16,040 --> 00:54:18,920
Speaker 1: your eyes off the road. You can just be distracted

975
00:54:18,960 --> 00:54:24,279
Speaker 1: by the thing, but by your actual windshield. Yeah, just

976
00:54:24,320 --> 00:54:27,040
Speaker 1: the most shallow depth of field as you drive, You're like,

977
00:54:27,120 --> 00:54:29,640
Speaker 1: I'm only literally looking at what's on my windshield now.

978
00:54:30,000 --> 00:54:31,439
Speaker 1: I was an uber the other day and the guy

979
00:54:31,520 --> 00:54:33,759
Speaker 1: just put on a movie on the iPad that he

980
00:54:33,800 --> 00:54:36,960
Speaker 1: had right there, and I thought that was very bold. Well,

981
00:54:37,000 --> 00:54:39,279
Speaker 1: he was driving. While he was driving, he pulled off

982
00:54:39,320 --> 00:54:41,480
Speaker 1: and they just started the movie. It was die Hard too,

983
00:54:42,120 --> 00:54:43,960
Speaker 1: And I was like, you know what, I'm gonna let

984
00:54:44,000 --> 00:54:47,480
Speaker 1: him rock. Yeah, let him cook? Did him cook? Let

985
00:54:47,560 --> 00:54:52,400
Speaker 1: him Cook's like, you like the deep cuts, huh? He's like, yeah,

986
00:54:52,840 --> 00:54:56,799
Speaker 1: all right, that dude with the icicle, come on, ye.

987
00:54:58,360 --> 00:55:00,640
Speaker 1: When the cops come for that, they're gonna be confused.

988
00:55:01,120 --> 00:55:03,520
Speaker 1: He's like handing this man, Carl, He's like handing you

989
00:55:03,560 --> 00:55:07,080
Speaker 1: popcorn in the backs of the high school part. Dude,

990
00:55:07,160 --> 00:55:10,560
Speaker 1: we did not talk. We did not talk. I just

991
00:55:10,600 --> 00:55:12,640
Speaker 1: like silently nodded. I was like, I'm gonna let this happen.

992
00:55:12,640 --> 00:55:14,360
Speaker 1: We'll see where this goes. I remember I put a

993
00:55:14,400 --> 00:55:17,280
Speaker 1: TV screen in my Honda Prelude when I was in college,

994
00:55:17,680 --> 00:55:20,400
Speaker 1: and like in the most brute forced way, because I

995
00:55:20,440 --> 00:55:23,040
Speaker 1: had been like pimp my ride, brained into being like,

996
00:55:23,360 --> 00:55:26,480
Speaker 1: you know what, my dusty Prelude just needs a seven

997
00:55:26,560 --> 00:55:30,200
Speaker 1: inch screen onto the DVD player, And though I'm not

998
00:55:30,480 --> 00:55:32,640
Speaker 1: I would watch on the only DVD I kept on.

999
00:55:32,680 --> 00:55:35,800
Speaker 1: There was like disc two of season two of Arrested Development,

1000
00:55:36,200 --> 00:55:39,280
Speaker 1: and I was just watching Arrested Development like while driving,

1001
00:55:39,280 --> 00:55:41,520
Speaker 1: and I was like, what's like I was picking up people,

1002
00:55:41,719 --> 00:55:43,399
Speaker 1: was like a girl on a date and I was like, yeah,

1003
00:55:43,400 --> 00:55:47,280
Speaker 1: that's right there. She's like she gets like, pretty good episode,

1004
00:55:47,320 --> 00:55:49,400
Speaker 1: pretty good, and then she's like, it's hot in here.

1005
00:55:49,440 --> 00:55:52,560
Speaker 1: I'm like, I can't actually access the air conditioning controlled

1006
00:55:52,600 --> 00:55:54,719
Speaker 1: because the screen has been drilled onto that part of

1007
00:55:54,719 --> 00:55:56,319
Speaker 1: the dashboard, So we're going to just have to roll

1008
00:55:56,360 --> 00:55:58,719
Speaker 1: the windows. Damn mom. But guess what you can get

1009
00:55:58,760 --> 00:56:00,759
Speaker 1: whatever you want a cheesecake. Fact. It is weird. The

1010
00:56:00,800 --> 00:56:04,560
Speaker 1: promotional video will link off to on the footnotes. It

1011
00:56:04,640 --> 00:56:08,200
Speaker 1: makes it seem like the So it's a father, a wife,

1012
00:56:08,200 --> 00:56:11,040
Speaker 1: and the passenger and two daughters in the back and

1013
00:56:11,360 --> 00:56:14,840
Speaker 1: they're waiting at a drive through and then they're like,

1014
00:56:15,120 --> 00:56:19,040
Speaker 1: fuck this, let's order Dominoes. And the only way to

1015
00:56:19,080 --> 00:56:21,560
Speaker 1: do that, of course, is through the card car Play

1016
00:56:21,560 --> 00:56:24,440
Speaker 1: play right exactly. Stop waiting in line. It drive through

1017
00:56:24,520 --> 00:56:27,560
Speaker 1: is just a place and order. Use the Dominoes app

1018
00:56:27,600 --> 00:56:34,080
Speaker 1: on Apple car Play instead. Dominoes, Yes, and say goodbye

1019
00:56:34,160 --> 00:56:38,680
Speaker 1: to the drive through with every tap okay, which we get?

1020
00:56:38,800 --> 00:56:45,279
Speaker 1: Who kind of what's your pepperoni? Ah? Order carry out

1021
00:56:45,280 --> 00:56:47,640
Speaker 1: on the go using the Dominoes app now on Apple

1022
00:56:47,680 --> 00:56:50,319
Speaker 1: car Play. No different than your phone. I don't know

1023
00:56:50,400 --> 00:56:54,200
Speaker 1: none at all, whatever, And like, if you're gonna be safe,

1024
00:56:54,239 --> 00:56:57,319
Speaker 1: you're not driving and ordering the fucking thing, so use

1025
00:56:57,360 --> 00:57:00,359
Speaker 1: your phone. There's a giant unforced error in the and

1026
00:57:00,360 --> 00:57:02,520
Speaker 1: the they edit it to make it seem like the

1027
00:57:02,760 --> 00:57:09,839
Speaker 1: driver is ordering it. Wild drive m edit to him

1028
00:57:10,040 --> 00:57:14,840
Speaker 1: ordering like making the specific order on his car. You

1029
00:57:14,920 --> 00:57:16,600
Speaker 1: were like, wait, what do you want? Showing like the

1030
00:57:16,680 --> 00:57:18,600
Speaker 1: features of it, but I'm like, other, fuck are your

1031
00:57:18,640 --> 00:57:20,480
Speaker 1: head is turned all the way around talking to your

1032
00:57:20,520 --> 00:57:23,280
Speaker 1: kids back there and being like oh what no, okay, okay,

1033
00:57:23,840 --> 00:57:27,240
Speaker 1: the fuck he's gonna kill that biker. His wife is

1034
00:57:27,280 --> 00:57:30,240
Speaker 1: in the passenger seat the whole time, like it seems

1035
00:57:30,240 --> 00:57:34,400
Speaker 1: like she should be able to yeah. Um, but and

1036
00:57:34,520 --> 00:57:38,240
Speaker 1: he isn't an suv, so if he hit somebody hit

1037
00:57:38,280 --> 00:57:41,440
Speaker 1: that biker that there'd be almost no chance of survival.

1038
00:57:41,480 --> 00:57:44,360
Speaker 1: But and he's in the cop Ford Explorer. Too great

1039
00:57:44,920 --> 00:57:48,680
Speaker 1: is the cop Explore? Yeah, White one of those guys

1040
00:57:48,720 --> 00:57:54,240
Speaker 1: behind Come on man, all right, well, Carl, truly a pleasure,

1041
00:57:54,360 --> 00:57:56,520
Speaker 1: you know, glad we got to the Domino story with

1042
00:57:56,560 --> 00:57:59,800
Speaker 1: a foodie like yourself. I'm glad we got to the

1043
00:58:00,000 --> 00:58:02,560
Speaker 1: I'm A story. So thank you taking taking on the

1044
00:58:02,600 --> 00:58:06,040
Speaker 1: pression issues of the day as as always as yes,

1045
00:58:06,600 --> 00:58:10,200
Speaker 1: where can people find you and follow you? I'm on

1046
00:58:10,240 --> 00:58:15,280
Speaker 1: Twitter and Instagram at Carl Hess. That's k A R

1047
00:58:15,480 --> 00:58:19,600
Speaker 1: l h E s S. My podcast about food and

1048
00:58:19,640 --> 00:58:23,520
Speaker 1: comedy is called Yelling About Pete. That's at yap pod

1049
00:58:23,960 --> 00:58:27,560
Speaker 1: on Twitter and Instagram y ap p O D. And

1050
00:58:27,760 --> 00:58:30,640
Speaker 1: the aforementioned show a Moose Boosch pops up every few

1051
00:58:30,680 --> 00:58:34,600
Speaker 1: months here in LA. That's at a Moose boosch La

1052
00:58:34,680 --> 00:58:38,360
Speaker 1: on Instagram post all info. There lots of fun food

1053
00:58:38,360 --> 00:58:41,200
Speaker 1: pictures and people doing Peron's right to the face tough

1054
00:58:41,240 --> 00:58:45,000
Speaker 1: Perrone content on Instagram. Oh man, I gotta come out.

1055
00:58:45,240 --> 00:58:47,600
Speaker 1: I love everything about what I'm hearing. Please come, please come,

1056
00:58:47,640 --> 00:58:52,840
Speaker 1: We'll do it. I'll bring the Baja blast. Would you

1057
00:58:52,880 --> 00:58:57,080
Speaker 1: allow Miles into the pot because it's mild? Yeah, because

1058
00:58:57,080 --> 00:59:00,760
Speaker 1: he's a taste maker and an influencer, random guy off

1059
00:59:00,800 --> 00:59:03,160
Speaker 1: the street. I'd be like, that's a hard note. I'm calling.

1060
00:59:03,520 --> 00:59:07,919
Speaker 1: I'm calling, I'm robot dogs and all the vigilantes. Get

1061
00:59:07,920 --> 00:59:09,640
Speaker 1: this guy out of here. I brought my own and

1062
00:59:09,680 --> 00:59:13,360
Speaker 1: this is my date, Michelle Tandler. She's got a type

1063
00:59:13,360 --> 00:59:16,640
Speaker 1: fifteen on the unhoused crisis. And we're allowed to do

1064
00:59:16,680 --> 00:59:19,360
Speaker 1: the stand up too, right, Yeah, exactly. You start singing

1065
00:59:19,440 --> 00:59:21,600
Speaker 1: during it. You can start singing. You're you're allowed to

1066
00:59:21,640 --> 00:59:23,520
Speaker 1: start singing at my show. In fact, I encourage it.

1067
00:59:23,600 --> 00:59:26,160
Speaker 1: Oh yeah great. Can they start doing their own comedy

1068
00:59:26,280 --> 00:59:29,720
Speaker 1: while you're doing comedy? That's yeah. I start doing crowd

1069
00:59:29,800 --> 00:59:32,400
Speaker 1: work to counter what's on that stage. Hey, so where

1070
00:59:32,400 --> 00:59:39,000
Speaker 1: are you from? Man? The newest in heckling technology? You

1071
00:59:39,040 --> 00:59:43,160
Speaker 1: start doing a different your work. Yeah, just within this

1072
00:59:43,320 --> 00:59:45,760
Speaker 1: show and just yeah, like because you're like, watch, I'm

1073
00:59:45,760 --> 00:59:47,840
Speaker 1: funnier than this. All right, I'm bringing the house flights up,

1074
00:59:47,880 --> 00:59:50,040
Speaker 1: We've got the bar, or you do the thing where

1075
00:59:50,040 --> 00:59:53,160
Speaker 1: you're like you're finishing punchlines like like how like sometimes

1076
00:59:53,160 --> 00:59:54,760
Speaker 1: when people love rap, like you can kind of hear

1077
00:59:54,800 --> 00:59:56,800
Speaker 1: a punchline coming, like in a rap verse where they're

1078
00:59:56,800 --> 00:59:58,640
Speaker 1: like for a stand up like just beating him to

1079
00:59:58,680 --> 01:00:00,400
Speaker 1: it to like, dude, what the fuck you're at the

1080
01:00:00,480 --> 01:00:05,440
Speaker 1: Gym Gaffigan show just going pop tarts the second he

1081
01:00:05,480 --> 01:00:10,560
Speaker 1: gets on stage. Is there a work of media you've

1082
01:00:10,600 --> 01:00:17,440
Speaker 1: been enjoyed, you know, I've really been enjoying, um, the

1083
01:00:17,520 --> 01:00:21,560
Speaker 1: simple pleasures in life, with that being Instagram videos where

1084
01:00:21,640 --> 01:00:25,360
Speaker 1: cats are meowing super loud. It's like this whole genre

1085
01:00:25,880 --> 01:00:31,640
Speaker 1: of like cats with like weird or like super voluminous meals.

1086
01:00:31,960 --> 01:00:34,120
Speaker 1: And now most of my algorithm is that that. In

1087
01:00:34,160 --> 01:00:38,240
Speaker 1: domesticated raccoons, I'm a big domesticated raccoon guy. Shouldn't be

1088
01:00:38,280 --> 01:00:40,360
Speaker 1: illegal in California. We're gonna need a whole other show

1089
01:00:40,400 --> 01:00:43,360
Speaker 1: to talk about that. Yeah, but a lot of good

1090
01:00:43,400 --> 01:00:47,280
Speaker 1: domesticated raccoon contown Instagram and I'm loving every minute of it. Yeah,

1091
01:00:47,320 --> 01:00:49,880
Speaker 1: I like there. I remember I was watching a guy

1092
01:00:49,880 --> 01:00:52,800
Speaker 1: on YouTube who had like a fucking like ten of

1093
01:00:52,840 --> 01:00:55,640
Speaker 1: these raccoons with come in his house. They just hands.

1094
01:00:55,640 --> 01:00:57,800
Speaker 1: They can be like your little butler. They can bring

1095
01:00:57,840 --> 01:01:01,080
Speaker 1: you stuff. They got hands. It's like having a dog

1096
01:01:01,120 --> 01:01:03,240
Speaker 1: and a cat mix that has hands. I didn't put

1097
01:01:03,280 --> 01:01:06,360
Speaker 1: them to work. Put them to work. I don't need

1098
01:01:06,400 --> 01:01:09,280
Speaker 1: a robot dog. I just need eight beltrained raccoons for

1099
01:01:09,440 --> 01:01:12,160
Speaker 1: my new complex out in the wood. Yeah, to fight

1100
01:01:12,200 --> 01:01:15,880
Speaker 1: the Farrell hogs and to help me farm Miles. Where

1101
01:01:15,880 --> 01:01:17,920
Speaker 1: can people find you? Is there a work immedia you've

1102
01:01:17,960 --> 01:01:21,600
Speaker 1: been enjoying. You can find me on Twitter and Instagram

1103
01:01:22,160 --> 01:01:24,880
Speaker 1: at Miles of Gray. You can also find Jack and

1104
01:01:24,920 --> 01:01:27,760
Speaker 1: I on our basketball podcast, Miles and Jack Got mat

1105
01:01:27,920 --> 01:01:32,040
Speaker 1: Boosties and also four twenty Day Fiance, which is coming

1106
01:01:32,080 --> 01:01:36,200
Speaker 1: back very soon with Sophia, Alexandra and I. Um, I

1107
01:01:36,240 --> 01:01:38,520
Speaker 1: don't I don't really have any I haven't linked on

1108
01:01:38,520 --> 01:01:41,480
Speaker 1: the internet enough to know anything that's good, so I

1109
01:01:41,480 --> 01:01:44,000
Speaker 1: don't have anything to share. UM. I feel like Tim

1110
01:01:44,080 --> 01:01:46,160
Speaker 1: Robinson and that I think you should leave sketch or like,

1111
01:01:46,160 --> 01:01:52,720
Speaker 1: what's your favorite viral? Video that one actually searched this

1112
01:01:53,400 --> 01:02:00,520
Speaker 1: Bozo the Clown redubbed Yeah that's coming back, and many Oh,

1113
01:02:00,560 --> 01:02:04,800
Speaker 1: I can't wait, I can't wait exciting times. Um tweet

1114
01:02:04,840 --> 01:02:07,840
Speaker 1: I enjoyed Rex King at Rex King is Dead tweeted

1115
01:02:07,840 --> 01:02:10,200
Speaker 1: I'm always skeptical when people call the Bible the greatest

1116
01:02:10,200 --> 01:02:13,160
Speaker 1: story ever told? Like, have you ever seen Roadhouse? Um?

1117
01:02:14,720 --> 01:02:17,080
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien,

1118
01:02:17,160 --> 01:02:19,440
Speaker 1: you can find us on Twitter at Daily Zeitgeist. We're

1119
01:02:19,440 --> 01:02:21,960
Speaker 1: at the Daily Zeitgeist on Instagram. We have a Facebook

1120
01:02:22,000 --> 01:02:24,760
Speaker 1: fan page and a website, daily zeitgeist dot com, where

1121
01:02:24,760 --> 01:02:28,080
Speaker 1: we post our episode and our foot note where we

1122
01:02:28,120 --> 01:02:29,800
Speaker 1: link off to the information that we talked about in

1123
01:02:29,840 --> 01:02:32,800
Speaker 1: today's episode, as well as a song that we think

1124
01:02:32,840 --> 01:02:35,000
Speaker 1: you might enjoy. Hey, Miles, what song do you think

1125
01:02:35,040 --> 01:02:38,480
Speaker 1: people might enjoy? Just just more sample based beats h

1126
01:02:38,600 --> 01:02:41,600
Speaker 1: This time this is from an Australian artist who goes

1127
01:02:41,600 --> 01:02:44,800
Speaker 1: by the Moniker Traffic Island t R A f i K.

1128
01:02:46,120 --> 01:02:49,280
Speaker 1: And this track is called the Pyramids. And again it

1129
01:02:49,400 --> 01:02:51,960
Speaker 1: just feels like, I don't know, like Ozzy, DJ Shadow

1130
01:02:52,040 --> 01:02:54,720
Speaker 1: or something. If you like DJ Shadow, you're gonna like

1131
01:02:54,920 --> 01:02:57,400
Speaker 1: this shit. This is called the Pyramids. It's fucking great

1132
01:02:57,480 --> 01:03:00,480
Speaker 1: to have on and just you know, you know, instruments music,

1133
01:03:00,520 --> 01:03:03,280
Speaker 1: but with a with a spooky funk to it. M

1134
01:03:03,880 --> 01:03:06,680
Speaker 1: spooky funk. We will link after that in the footnotes.

1135
01:03:06,760 --> 01:03:09,000
Speaker 1: The Daily ISAACA is a productive by Heart Radio from

1136
01:03:09,000 --> 01:03:11,680
Speaker 1: more podcast from my heart Radio, visit the iHeartRadio app,

1137
01:03:11,720 --> 01:03:14,600
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

1138
01:03:14,720 --> 01:03:16,800
Speaker 1: That's going to do it for us this morning, back

1139
01:03:16,840 --> 01:03:18,920
Speaker 1: this afternoon to tell you what is trending and we

1140
01:03:18,960 --> 01:03:25,760
Speaker 1: will talk to you all done. Bye bye bye