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

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Speaker 1: one of der Day's Eye Gey Stay production of iHeartRadio You. Hello, Hello, Yellow,

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Speaker 1: You got justin. This is a podcast where we take

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Speaker 1: a deep dive into America's shared consciousness. And it is Monday,

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Speaker 1: March twentieth, twenty twenty three. My name's Jack O'Brien aka.

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Speaker 1: I've been told I look like son of el Chop Boa,

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Speaker 1: resembling his eho across the el Rio. I've been told

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Speaker 1: I look like son of el Chop both to the

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Speaker 1: honey saying goggins. We don't have the same noggins. I've

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Speaker 1: been told I look like son of el Chop Boa.

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Speaker 1: New York Mike says, it's a drag. Please don't mention

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Speaker 1: that rag. Why because that list is tanging you with

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Speaker 1: that best it's a maybe maybe that is courtesy of RAZI. Yeah,

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Speaker 1: I'm gonna put the airhorns in there for that one,

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Speaker 1: all right, Yes he can, Because I am thrilled to

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Speaker 1: be joined by a very special guest co host, artist, musician,

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Speaker 1: the producer of this very podcast. It is super producer

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Speaker 1: Justin Kanna Yo yo yo. It's Justin Connor, a k A.

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Speaker 1: The shy town, shy guy. I am gonna chicken out

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Speaker 1: on doing an AKA. I put a call out. I

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Speaker 1: did put a call out, but I did not have

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Speaker 1: enough time to prepare. I think I saw one or

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Speaker 1: two and they were they were great. Fire. Yeah, they

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Speaker 1: were great. I will do that and next time, my

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Speaker 1: co host, I'm committing to that. Right here. The Jack

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Speaker 1: Pierre pressured me before we started. He said I was

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Speaker 1: a coward, and I agreed with him. So now I

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Speaker 1: have to do this next time. And I ripped open

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Speaker 1: my shirt like Kenny Frazier and school ties and shouted

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Speaker 1: it at his window. He maybe count his abs as

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Speaker 1: I repented for not doing one. Yeah, so we're at

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Speaker 1: one over here on the ab front. But justin and

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Speaker 1: and by the way, I'm just gonna put it out

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Speaker 1: here there as an open invitation, even when Miles was

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Speaker 1: back next week. Maybe. I don't know. Folks get excited. Maybe,

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Speaker 1: but you're always welcome to join in with an AKA.

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Speaker 1: You know, you're always welcome to pop on. I'm gonna

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Speaker 1: be violent with people now. I will be this. I'm

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Speaker 1: gonna disrupt the entire I'm gonna do it, like twenty

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Speaker 1: minutes into the recording. Yeah, just coming in as you

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Speaker 1: guys are talking about something real, say yeah, please God,

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Speaker 1: those are the moments when we need it most in

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Speaker 1: times like these, Justin, you have an open invitation. You

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Speaker 1: got the green light to shoot away, swing away. Yeah,

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Speaker 1: I'm gonna get Nathan Fielder with it. Just go please,

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Speaker 1: really avant garde and strange. Let's go. Please, the show

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Speaker 1: needs it well. Justin. We are thrilled to be joined

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Speaker 1: in our third seat by one of the great hilarious actor, improviser,

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Speaker 1: stand up comedian who you've seen on Key and Peel, Workaholics,

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Speaker 1: Comedy Bang Bang. Rights for TV shows like I Don't

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Speaker 1: Know Graham Crew, video games and TV shows and video

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Speaker 1: games about TV shows and game TV shows about video games.

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Speaker 1: Please welcome. Noted thought Dad t M. It's iffy. Want

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Speaker 1: do you want? Hello? Ship boy? If he coming in strong,

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Speaker 1: ready to hold it down, get again. Carving my face

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Speaker 1: out on top of my zite more. I know it's

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Speaker 1: changed the light. Yeah, yeah, we'll bring it. I'm just

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Speaker 1: my face is crumbling back in. I'm you're still there.

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Speaker 1: You just got it just needs a few yeah, yeah,

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Speaker 1: but I like the suggestion that you're carving your face

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Speaker 1: back on top of other face. Yeah, it just Mount

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Speaker 1: Mountain Zepmore becomes one big iffy face. Yeah. Yeah, it's

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Speaker 1: just like we've made one side of my face larger.

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Speaker 1: What's good man, how are you doing? Oh man, I'm

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Speaker 1: doing good. You know, it's been great, just uh enjoying. Uh.

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Speaker 1: You know, I just did the Joco Cruise last week

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Speaker 1: and that was a blast, you know, on a boat

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Speaker 1: with a bunch of nerds doing nerdy stuff. I did

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Speaker 1: some of uh and uh yeah, now I'm feeling good.

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Speaker 1: You know, already already went snowboard and I'm trying to

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Speaker 1: get it in as much before the uh before the

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Speaker 1: you know it ends, the ice pack melts. Climate change

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Speaker 1: makes it so you I mean, the climate change is

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Speaker 1: why the season is probably longer this Yeah, we got those,

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Speaker 1: we got those ground shoulders though. We're good. You just yeah,

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Speaker 1: we have a giant apparatus to chill the ground and

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Speaker 1: well you know, we can combat global warming. Well it

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Speaker 1: was It's funny because you know they're like, oh, it's

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Speaker 1: rained and snowed so much that we've stopped the drought measures.

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Speaker 1: I'm like, no, keep it going, like keep it like

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Speaker 1: like like let's stop thinking in the now and let's

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Speaker 1: get the reserves back down. We know that, we know

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Speaker 1: that we go through it because honestly, I think we

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Speaker 1: just need to permanently change our water usage, you know.

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Speaker 1: I think that's what it comes down to. Turns out, Yeah,

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Speaker 1: but that seems to be the case. If you're going

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Speaker 1: back to the cruise thing. Cruise culture is kind of controversial.

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Speaker 1: Some people I hate it, some people love it. How

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Speaker 1: did you find the cruise? What were your feelings of

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Speaker 1: whose culture? I gotta say, you know, they're obviously as

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Speaker 1: a performer on the cruise, I am biased. I get

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Speaker 1: like certain perks and stuff, but I will say, you know,

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Speaker 1: it is interesting when you like the surface level is

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Speaker 1: very fun. But if you think too hard, it'll be

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Speaker 1: wild because you're like, oh man, the staff is all

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Speaker 1: these great, working, attentive people from the Philippines, and you're like,

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Speaker 1: if all your staff is from another country, that can't

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Speaker 1: you know, capitalism has taught us that can't be good,

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Speaker 1: that can't be There must be a reason but one yeah, yeah, yeah, yeah,

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Speaker 1: that they all chosen to hire outside of the US.

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Speaker 1: It's like, why why is this? What is this? Can

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Speaker 1: I know what you're being paid, so I know whether

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Speaker 1: the whether the really getting the ass anyway perks getting

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Speaker 1: to drive the ship. You know, they refused as much

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Speaker 1: as I kind of knocked on the captain's door a

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Speaker 1: couple and just I want to drift. The boat's going

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Speaker 1: to burn out on the sea real quick. Yeah yeah, yeah,

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Speaker 1: they wouldn't let me in there. But you know the food,

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Speaker 1: you know, twenty four hour access to food. Can't get

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Speaker 1: any better than that. And then we then we heard

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Speaker 1: there's this thing where like a lot of older people

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Speaker 1: will just do a month of cruises, where they would

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Speaker 1: just keep doing because you know, it's your room and

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Speaker 1: board and your food kind of paid for. It actually

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Speaker 1: ends up being cheaper than like a retirement home. Yeah. Yeah,

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Speaker 1: speaking of which I was gonna say, I don't know

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Speaker 1: if this is like a black thing, but a lot

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Speaker 1: of the older generations in my family they love a cruise.

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Speaker 1: They absolutely love a cruise. And Miles and I were

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Speaker 1: talking about this too. He has a similar experience. And

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Speaker 1: when I talk about my love of cruises, generally the

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Speaker 1: most people it gets shot down. They're like, ah, that's

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Speaker 1: that's shitty. But also though the two cruises I've been

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Speaker 1: on I had hello, white people serving me, and yeah,

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Speaker 1: that that felt great. So ye see, I want that

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Speaker 1: cruise that it was like a great cruise. Yeah, I

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Speaker 1: mean truly, it's it's it's funny that you should say that,

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Speaker 1: because yeah, no, my family was all in on cruises

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Speaker 1: and you know, speaking of a mountain sight more jaquise.

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Speaker 1: Neil loves the cruise. He got real hyped when he

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Speaker 1: heard I was going on a cruise. He loves the cruise.

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Speaker 1: He's big in the cruise culture too. But I think

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Speaker 1: the first cruise I went on, I was like completely sold.

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Speaker 1: I was like, yes, let's do it, let's do it.

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Speaker 1: The second one I didn't like it as much, but

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Speaker 1: it was more so because I was like I kind

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Speaker 1: of viewed it in this way where where I thought,

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Speaker 1: this would be way more fun if everyone had the

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Speaker 1: same vibe. Because on a cruise you have just mixed

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Speaker 1: on this family vaca, retirement home folks, young group of

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Speaker 1: folks trying to get like turned up. So between all

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Speaker 1: of that, you know, it's a very mixed bag. But

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Speaker 1: something like the Joco cruise, where the whole cruise is

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Speaker 1: charged and everyone's on the same vibe, it's I was like,

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Speaker 1: this is what I was thinking of when I said

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Speaker 1: everyone needs to be the same vibe. So that's a

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Speaker 1: fair point. You can do a themed cruise. Yeah, I'd

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Speaker 1: say go that route like it's joke. Oh, like the

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Speaker 1: word joke. And then oh yeah, for Jonathan Colton the songwriter,

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Speaker 1: it's his crew cruise, his crew, his crew cruise cruise. Yeah, yeah,

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Speaker 1: you got the cruise cruise. Amazing. CUI. All right, if

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Speaker 1: you we're going to get to know you a little

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Speaker 1: bit better in a moment. First, a couple of things

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Speaker 1: we're talking about. Amazon is being sued for not warning

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Speaker 1: customers about facial recognition technology. They had that Amazon Go

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Speaker 1: store announcement where they're like, you just walk in and

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Speaker 1: you get to pretend you're shoplifting white people, rich people.

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Speaker 1: You get to pretend you're shoplifting for the first time,

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Speaker 1: and it'll be fun for you. But it's basically like

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Speaker 1: cameras keep an eye on you, and they like know

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Speaker 1: and then they just like do the math on the

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Speaker 1: back end or some shit. Oh, so they don't have

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Speaker 1: to have a person follow you around the entire time

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Speaker 1: that I did with me. Oh cool, the cameras do

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Speaker 1: the follow We've really come a long way. I love it. Yes,

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Speaker 1: But anyways, New York is the only major city where

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Speaker 1: it's illegal to use facial recognition technology without telling people.

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Speaker 1: So somebody in New York is suing them, which is good.

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Speaker 1: I just generally like to give a nice little pat

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Speaker 1: on the back anytime someone sues Amazon. Yeah, but this

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Speaker 1: is an interesting story because it's about the way that

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Speaker 1: they're trying to shape the world to their ends. So

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Speaker 1: we'll talk about that. We'll talk about yet another brand movie. Man,

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Speaker 1: they are coming fast and furious. We've talked about Air,

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Speaker 1: We've talked about BlackBerry, We've talked about Tetris, and now

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Speaker 1: we've got that Flame and Hot Cheetos movie, which we

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Speaker 1: talked about a few years back when it first got greenlit.

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Speaker 1: It's directed by Avalongoria and it's a biopick of the

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Speaker 1: guy who invented Flame and Hot Cheetos allegedly, and there's

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Speaker 1: a big allegedly around this movie. But it premiered at

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Speaker 1: south By I think, or yeah, premiered at south By.

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Speaker 1: People seem to really love it. So we are going

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Speaker 1: to continue to talk about this trend where brands are

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Speaker 1: the new superheroes. Brands are the new movie protagonist. We

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Speaker 1: might even pitch a couple couple more movies that we

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Speaker 1: will definitely be seeing in the future. On a recent episode,

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Speaker 1: if we pitched a Lunchables movie about the invention of lunchables.

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Speaker 1: But we think we have some ideas for some that

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Speaker 1: we are almost inevitable, so we might as well make

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Speaker 1: them good. All of that plenty more were maybe just

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Speaker 1: a few of those things. But before we get to

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Speaker 1: any of it, if he we do like to ask

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Speaker 1: our guest, what is something from your search history? Okay,

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Speaker 1: so you know, I'm just looking so something for my

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Speaker 1: search history. This one is pretty simplistic. Everyone knows I'm

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Speaker 1: an LA boy. Hold it down, you know, Lakers fan.

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Speaker 1: You know now that I'm splitting tick season ticks with

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Speaker 1: Nick Wiger and Dave Phillips from Grand Crew. You know

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Speaker 1: I've been multiple in the game, more locked in in

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Speaker 1: the season, more locked in on the games Dodgers, you know,

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Speaker 1: much in the same way. You know, I'm kind of

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Speaker 1: loosely paying attention. I'll show up at a game or so.

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Speaker 1: Let On. On the cruise, I met made a new friend,

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Speaker 1: Malory Omira, this author, and also she has a book

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Speaker 1: pod and she's real in a hockey and I just

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Speaker 1: went to a King's game. So that was the perfect

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Speaker 1: timing of events to give me back into the hockey game.

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Speaker 1: And that's the one thing I don't have. I don't

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Speaker 1: have a King's jersey, so you know, I kind of

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Speaker 1: went in and you know, when you buying sports jerseys

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Speaker 1: are dicey, you know, like you know, rest in peace

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Speaker 1: to anybody who bought a Kevin Duranters. You know, you

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Speaker 1: never you know, you don't know when they're gonna stay.

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Speaker 1: So you know, I had to do a little research

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Speaker 1: on the team, see who's going. And I also, of course,

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Speaker 1: you know, you don't want to you don't want to

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Speaker 1: be basic like you know, back in the Breeze days,

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Speaker 1: you don't want to get a Drew Breezes jersey. I'm

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Speaker 1: a Saints fan because you know, everyone has the Drew

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Speaker 1: Breeze jersey, so I didn't get a So, I you know, Copatar,

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Speaker 1: even though he's been with the Kings a very long time,

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Speaker 1: you know, he's the captain. Everyone everyone has that jersey. Yeah,

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Speaker 1: you know, we let Quick go. He's with the Vegas

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Speaker 1: Golden Knights. I do remember that because we won the

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Speaker 1: Stanley Cup with Quick, so I couldn't get a Quick jersey.

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Speaker 1: So then I just went old school and got the

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Speaker 1: the classic like Lakers King's jersey with Marcel Diane. You

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Speaker 1: who is who's retired. But you know, even though he

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Speaker 1: ended his season with the Rangers, he has the longest

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Speaker 1: stint with the Kings and is in the NHL Hockey

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Speaker 1: Hall of Fame. So I was like, that's a safe

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Speaker 1: bet and get a classic, you know, because also didn't

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Speaker 1: want to do gretzy another like overdone, over us, overworn.

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Speaker 1: You know, you want to stand out a little bit.

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Speaker 1: Do you want to stand out a little bit, but

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Speaker 1: you want them to have enough prestigious to wear when

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Speaker 1: they're gone, you can wear the jersey and you still

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Speaker 1: get that head nod from exactly. Yeah, that's what's up

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Speaker 1: exactly because because you know, I feel like if Copatar left,

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Speaker 1: like he's done his time, people would still be like, yeah,

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Speaker 1: that was our guy. But I just hate be buying

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Speaker 1: a because you know, if I wear someone, if I

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Speaker 1: buy the jersey of someone who's on the team, now

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Speaker 1: I want to wear it there. You know what I

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Speaker 1: like to call sports cosplay. You know, you definitely want

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Speaker 1: to wear while they're there. So you like to wear

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Speaker 1: the pads and the helmet too, Yeah, yeah, I definitely

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Speaker 1: wear Yeah, I stand, yeah yeah, and I try and

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Speaker 1: jump out and until the security kicks me out. But

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Speaker 1: for realism, yeah, yeah. It's interesting if you said jump,

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Speaker 1: you say jumping back into being a Kings fan. What

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Speaker 1: was what was the pause or did you just is

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Speaker 1: this the newly found thing or did you take a

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Speaker 1: little break, you know? As an as an Angelino, I've

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Speaker 1: always been a fan, and then I was kind of

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Speaker 1: like when we won the Stanley Cup where we beat

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Speaker 1: the Rangers, that was the year I was like, I'm

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Speaker 1: gonna get into hockey. I had the championship hat and

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Speaker 1: I was like, this is I need to focus, I

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Speaker 1: need to support the team. But just I feel like

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Speaker 1: hockey comes on at an interesting time where it's kind of,

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Speaker 1: you know, it's mixed because if you're following baseball and football,

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Speaker 1: I mean basketball and football, it's easy to get lost

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Speaker 1: in the sauce because one kind of leads into the other.

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Speaker 1: So I fell off. But because I have this new

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Speaker 1: friend who actually goes to the game and watches it,

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Speaker 1: that's gonna be easier for me to kind of you know,

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Speaker 1: keep it going because they're gonna be going to the

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Speaker 1: games and inviting me essentially. Yeah, I identify with this

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Speaker 1: because as someone born and raised in the Chicago area,

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Speaker 1: we did not get televised broadcasts of the Blackhawks for

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Speaker 1: a lot of the time I was growing up, and yeah,

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Speaker 1: for whatever reason, they just didn't air the Blackhawks games

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Speaker 1: in my area. So when that started happening, that's when

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Speaker 1: the viewership started to increase, and that's when we started

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Speaker 1: getting good, and like Patrick Kane came along and we

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Speaker 1: you know, we want to Stanley Cup ourselves. So I

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Speaker 1: was like, know, that was when I really started getting

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Speaker 1: into hockey for that brief little bit of time. I've

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Speaker 1: fallen off since then, but yeah, I can I can

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Speaker 1: identify with this for sure. Oh yeah, in terms of

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Speaker 1: just the overall shape of like how the sport works,

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Speaker 1: like the playoffs, it really seems like kind of a

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Speaker 1: crapshoot and it's just like, you know, you have huge

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Speaker 1: upsets that happen on like in basketball usually like you

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Speaker 1: don't have massive like swings, and it really is like

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Speaker 1: I guess I could be frustrating, right that, like your

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Speaker 1: team is good all year and then like another team's

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Speaker 1: like has the hot goalie going into the playoffs and

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Speaker 1: suddenly like they just charged to the But it's also

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Speaker 1: like keeps things really exciting and it is just an

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Speaker 1: incredible exciting sport to watch in person. Yes that that

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Speaker 1: part two is you know, everyone says that baseball is

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Speaker 1: better in person than it is on TV, and I

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Speaker 1: feel like it's about the same. I think the thing

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Speaker 1: that people get excited about with baseball in person is

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Speaker 1: just the stadium antics where it's like no hockey, which

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Speaker 1: hockey is like pretty exciting to watch on screen too,

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Speaker 1: but they're the energy is there. Also, like the last

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Speaker 1: game I went to, it made me realize that I

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Speaker 1: that how much of a drinking sport it is, like like,

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Speaker 1: because you know, basketball is interesting because the big thing

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Speaker 1: that you see is like the kiss cam and like

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Speaker 1: maybe like the like the half court shot stuff, but

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Speaker 1: in a hockey it's like showing people with their beers

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Speaker 1: and getting them to chug it. You're like, it would

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Speaker 1: show someone with the beer they have to chug it,

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Speaker 1: And I was like, oh, this rocks. That's funny. Yeah,

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Speaker 1: that's really funny. What is something you think is overrated? Oh? Man. Uh.

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Speaker 1: You know something I think that's it's overrated is I

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Speaker 1: think I might have done this in some way. Uh,

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Speaker 1: and then this is just definitely I feel like the

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Speaker 1: more you come on this pod, the harder the rats

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Speaker 1: because you have those like built in overrateds, yeah, like

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Speaker 1: oh yeah opinion, and then as you go you're like, Okay,

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Speaker 1: now I'm searching from overrateds. But mine is just um

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Speaker 1: like getting the first, the first take, you know, like

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Speaker 1: there's one thing about takes. You know, we all know

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Speaker 1: about the Internet take. But I also think there's an

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Speaker 1: even more fairious thing, which is people trying to be

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Speaker 1: the first person to have the woke opinion. And I

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Speaker 1: hate saying it now, the word woke. It's it's really devolved,

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Speaker 1: Like we're you know, we're talking about back when I

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Speaker 1: was on Mountain Zite Moore and coming on regularly, how

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Speaker 1: overused woke has been. And now it's become like truly

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Speaker 1: a battleground. Like there's battleground states, and now we have

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Speaker 1: battleground words and woke is one of them, but it's

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Speaker 1: only used by Tugger Carlson at this point. Yeah. Yeah, yeah,

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Speaker 1: just the the rush into having like the most conscious

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Speaker 1: take on something. A lot of times you just see

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Speaker 1: people fumble because they didn't wait to see the situation

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Speaker 1: pan out. And this is sounding very political, and it's

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Speaker 1: about to get very not political in the second when

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Speaker 1: I talk about the Bayonetta voice actress debacle, which I'm

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Speaker 1: I'm guessing neither of you have heard about that or

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Speaker 1: no about I say that about how could you think

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Speaker 1: that I missed the Bayonetta voice actress debacle? But I

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Speaker 1: do want to hear your take on it. I'm familiar

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Speaker 1: with Bayonetta, I have not gotten into the whole culture

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Speaker 1: behind the voice acting of it. Well, then the new

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Speaker 1: one isn't going to have the original voice actress. And

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Speaker 1: she hopped on Twitter and she was like, I had

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Speaker 1: to pass on this role because they were only offering

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Speaker 1: me three thousand dollars. And you know whoever, you know,

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Speaker 1: you know whatever, that actress that took the role just no,

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Speaker 1: you'll never be the real Bayonetta whatever, whatever. And the

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Speaker 1: person who took the role was Jennifer Hale, who is

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Speaker 1: like a very prestigious voice actor, most popularly known as

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Speaker 1: the voices of Female Shepherd in the mass Effects series

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Speaker 1: Just Just the Goat. So and also she's very very

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Speaker 1: like a like a union stand like she's big about sag,

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Speaker 1: making sure video games go sag. When she when the

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Speaker 1: voice actors struck against you know, the video game community

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Speaker 1: for sag roles, she would host you know, these talks

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Speaker 1: at her own home to help, you know, non non

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Speaker 1: union voice actors why they shouldn't break the picket line,

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Speaker 1: like she's in it. So it's a rough accusation. And

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Speaker 1: then of course it eventually comes out that she negotiated

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Speaker 1: a price and they and they accepted it, and then

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Speaker 1: she tried to negotiate higher and they're like, well, we

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Speaker 1: can't pay that, so they went somewhere else. But they're like,

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Speaker 1: you know, but you know, we'll give you a cameo

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Speaker 1: and you know, for all that done, it will give

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Speaker 1: you three K. And that was the full story. And

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Speaker 1: so that comes out, and you have all these people

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Speaker 1: who were like yelling and like standing on the front

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Speaker 1: lines to be the first to like know what's going on.

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Speaker 1: Instead of just being like, oh damn, we had the

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Speaker 1: wrong information and fucked up, they would they would do

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Speaker 1: these this back pedaling where it's like, well it's still

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Speaker 1: kind of fucked up that you know, and to me,

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Speaker 1: I was like, you put yourself in that position because

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Speaker 1: you wanted to be the first person who was right,

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Speaker 1: instead of being like, let me see the situation unfold.

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Speaker 1: And I don't mean it in the way where we

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Speaker 1: had you know, video footage of black bodies laying on

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Speaker 1: the street, and you had you know, conservatives being like, well,

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Speaker 1: let's wait till all the facts come out, because the

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Speaker 1: facts was the video that we all could see. I'm

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Speaker 1: saying that when one person is saying something and it's

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Speaker 1: truly not you know, you don't need to stand your

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Speaker 1: ground there. You can just wait to see the response

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Speaker 1: in that maybe you can wait that out so and

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Speaker 1: rushing to get first if you're wrong, maybe maybe maybe

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Speaker 1: just say you're wrong, Yeah, stop being afraid of being wrong.

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Speaker 1: And that is a take that I think I've said before.

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Speaker 1: This kind of reminds me of that, like on the

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Speaker 1: conservative side, that story where like Ben Shapiro was trying

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Speaker 1: to get someone on his network and then they were like, oh,

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Speaker 1: I'm mad about what I'm getting paid, and then people

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Speaker 1: took sides and then the full story came out of

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Speaker 1: like that guy was getting so much money and opportunity

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Speaker 1: and he was just complaining for no reason. But then

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Speaker 1: the lines have been drawn and it just kind of

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Speaker 1: span out, and yeah, it's hard to have people really

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Speaker 1: want to have a hot take. I think it's, you know,

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Speaker 1: that instant gratification of like, look how authentic I was.

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Speaker 1: But first and then you have to be like, oh wait,

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Speaker 1: no I didn't. I didn't mean that. As soon as

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Speaker 1: you are found to be wrong, which means you were

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Speaker 1: never authentic, So you have to you have to really

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Speaker 1: be careful and pick and choose your battles. Yeah, all right,

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

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Speaker 1: And we're back, and if he what is something that

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Speaker 1: you think is underrated? Oh? Okay, you know you know

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Speaker 1: what was coming from from underrated? It's snowboarding. There's been

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Speaker 1: a you know, snowboarding. I've been I'm a huge into

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Speaker 1: winter sports guy. Look at you. Yeah, I'm a big

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Speaker 1: winter sports guy. I was talking about hockey, now I'm

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Speaker 1: talking about snowboarding. I this is my second season snowboarding.

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Speaker 1: I'm like completely hooked. And it was one of those things,

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Speaker 1: you know, I grew up in LA and I just

413
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Speaker 1: thought it was so far from me, not knowing that

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Speaker 1: you can just drive up to Palm Dale and there's

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Speaker 1: a there's one there and big Bear. But like before

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Speaker 1: I continue, I will acknowledge it is a very expensive

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Speaker 1: sport to get into because it's like you know, usually

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Speaker 1: anywhere from one hundred, two hundred and fifty for a

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Speaker 1: lift ticket if you don't have if you don't have equipment,

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Speaker 1: fifty for a rental, and like the gas to get

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Speaker 1: up there, if you're staying up there. It's expensive. But

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Speaker 1: if you can or if you like, you know, slowly

423
00:23:02,160 --> 00:23:05,879
Speaker 1: build up your your boots and helmet, you can like

424
00:23:06,000 --> 00:23:08,520
Speaker 1: piece it together. You can make it work. It it's

425
00:23:08,520 --> 00:23:11,720
Speaker 1: a workout. It's a good workout. You know. Yes, there's

426
00:23:11,760 --> 00:23:14,800
Speaker 1: been people who just get bodied, but you know, take

427
00:23:14,840 --> 00:23:18,600
Speaker 1: your time, play it safe, and you shouldn't get bodied

428
00:23:18,720 --> 00:23:22,520
Speaker 1: unless you're the skier who I definitely bodied. Coming down

429
00:23:22,960 --> 00:23:27,280
Speaker 1: the mountain yesterday, I'm sorry. I apologize. I tried to

430
00:23:27,320 --> 00:23:30,040
Speaker 1: stop and the snow said you're going, and I just

431
00:23:30,200 --> 00:23:35,439
Speaker 1: tackled her and she looked so mad, and I was like,

432
00:23:35,520 --> 00:23:39,359
Speaker 1: I'm so sorry, because you know you have I'm I'm

433
00:23:39,400 --> 00:23:43,720
Speaker 1: I'm a i'm a two bills plus eighty coming at

434
00:23:43,760 --> 00:23:48,320
Speaker 1: you and this small woman just got just trucked. But

435
00:23:48,960 --> 00:23:51,080
Speaker 1: she was good. She was able to get up. She

436
00:23:51,160 --> 00:23:55,000
Speaker 1: wasn't happy, but she was good. So that's that. That's

437
00:23:55,040 --> 00:23:58,240
Speaker 1: gonna be my underrated It's snow. It takes a little.

438
00:23:58,320 --> 00:24:01,359
Speaker 1: It takes a little like pushing past the because I

439
00:24:01,720 --> 00:24:05,119
Speaker 1: just learned how to ski like two years ago. Because

440
00:24:05,160 --> 00:24:08,200
Speaker 1: my you know, we had a my dad's a basketball

441
00:24:08,240 --> 00:24:10,840
Speaker 1: coach and so like during during the winter it was

442
00:24:10,880 --> 00:24:13,880
Speaker 1: basketball season. We didn't really like do anything other than

443
00:24:14,520 --> 00:24:18,359
Speaker 1: you know, basketball, and yeah, so like I just learned,

444
00:24:18,400 --> 00:24:21,280
Speaker 1: and man, it is like when you're going down the

445
00:24:21,320 --> 00:24:25,479
Speaker 1: bunny slopes as a thirty nine year old man. Uh

446
00:24:26,080 --> 00:24:30,160
Speaker 1: like that was my kids were like going with me.

447
00:24:30,440 --> 00:24:33,440
Speaker 1: But it's definitely it was definitely like worth it once

448
00:24:33,480 --> 00:24:35,720
Speaker 1: I once I got the hang of it. Oh yeah.

449
00:24:35,760 --> 00:24:39,800
Speaker 1: I mean also, like the way athletes process things are

450
00:24:39,840 --> 00:24:42,879
Speaker 1: so different. Because I have a friend who's like, you know,

451
00:24:43,280 --> 00:24:45,399
Speaker 1: in the running for like NFL stuff and all that,

452
00:24:45,480 --> 00:24:48,200
Speaker 1: and I invite him snowboarding. Goes when I'm done playing football,

453
00:24:48,240 --> 00:24:50,760
Speaker 1: I will do it, right, It was like I can't

454
00:24:50,880 --> 00:24:54,080
Speaker 1: risk being injured. Well that's the other thing. Yeah, when

455
00:24:54,119 --> 00:24:57,120
Speaker 1: you're just learning it as an older person, the risk

456
00:24:57,160 --> 00:25:00,679
Speaker 1: of injury is much much high you are, you know,

457
00:25:00,760 --> 00:25:03,920
Speaker 1: like I did well, I didn't really like I got

458
00:25:03,920 --> 00:25:06,000
Speaker 1: the win knocked out of me on one jump, but

459
00:25:06,119 --> 00:25:08,080
Speaker 1: like for the most part, I'm good, but I'm still

460
00:25:08,119 --> 00:25:12,359
Speaker 1: the next day like woof. Yeah yeah, yeah, you're like

461
00:25:12,480 --> 00:25:14,399
Speaker 1: parts of you are sword that you didn't know you

462
00:25:14,400 --> 00:25:17,840
Speaker 1: had parts there. Yeah yeah, yeah, I mean with I

463
00:25:17,880 --> 00:25:21,159
Speaker 1: mean carrying your equipment up the up the mountain too.

464
00:25:21,200 --> 00:25:23,240
Speaker 1: When I mean I was I was younger when I

465
00:25:23,480 --> 00:25:25,320
Speaker 1: the last time I skied, I think I only went

466
00:25:25,400 --> 00:25:27,560
Speaker 1: like three times, but last time I was like in

467
00:25:27,640 --> 00:25:30,879
Speaker 1: grade school. But you know, getting on the lifts that

468
00:25:30,920 --> 00:25:33,000
Speaker 1: we had to do sometimes you know, the skis were

469
00:25:33,000 --> 00:25:34,800
Speaker 1: attached to the bottom of your feat but sometimes you

470
00:25:34,840 --> 00:25:36,600
Speaker 1: had to carry that ship all the way up the mountain,

471
00:25:36,960 --> 00:25:40,040
Speaker 1: and uh, that wasn't fun. So it's it's a it's

472
00:25:40,040 --> 00:25:42,280
Speaker 1: a good like workout, and I do kind of miss it.

473
00:25:42,280 --> 00:25:45,679
Speaker 1: I remember having like the most fun I've ever had

474
00:25:45,720 --> 00:25:48,320
Speaker 1: while also being the most exhausted I've ever been at

475
00:25:48,320 --> 00:25:50,800
Speaker 1: the end of the day. Yeah yeah, whoops your ass.

476
00:25:51,000 --> 00:25:54,800
Speaker 1: Yeah I stopped yesterday because I physically had to like yeah,

477
00:25:54,960 --> 00:25:59,520
Speaker 1: like my thigh my like right, quad basically knotted up

478
00:25:59,560 --> 00:26:03,359
Speaker 1: into what felt like a ball. Yeah, and I could

479
00:26:03,400 --> 00:26:07,040
Speaker 1: not physically snowboard. I had to unstrap myself and limped

480
00:26:07,160 --> 00:26:11,439
Speaker 1: down the mountain and everyone's like everything on write and

481
00:26:11,440 --> 00:26:14,199
Speaker 1: it's like, oh no, I'm not. It was to be like,

482
00:26:14,280 --> 00:26:18,840
Speaker 1: I'm not injured. I'm just tired. Yeah, yeah, just old.

483
00:26:19,040 --> 00:26:21,800
Speaker 1: We're just just old. Don't worry about me. Yeah. Yeah.

484
00:26:21,840 --> 00:26:24,360
Speaker 1: And you're a You're a very one of the more

485
00:26:24,400 --> 00:26:28,199
Speaker 1: fit people I know. So I mean, yeah, it's gonna

486
00:26:28,240 --> 00:26:31,480
Speaker 1: it's gonna kick your ass out there, yolks, but we're

487
00:26:31,560 --> 00:26:34,480
Speaker 1: worth it. Try Definitely. It's definitely fun. All right. Let's

488
00:26:34,480 --> 00:26:38,760
Speaker 1: talk about Amazon. They're being sued always just a happy

489
00:26:38,880 --> 00:26:41,280
Speaker 1: little bit of news, who knows if it's gonna go anywhere,

490
00:26:41,280 --> 00:26:44,360
Speaker 1: But they're being sued in New York in particular for

491
00:26:44,920 --> 00:26:51,160
Speaker 1: having facial recognition, just loosing facial recognition technology onto their

492
00:26:51,200 --> 00:26:55,360
Speaker 1: consumer base without really checking with the consumers. And that

493
00:26:55,520 --> 00:26:59,120
Speaker 1: is against the law only in New York City, as

494
00:26:59,119 --> 00:27:05,240
Speaker 1: lonely city where people might want to know about this. Yeah,

495
00:27:05,280 --> 00:27:07,680
Speaker 1: what is this? Europe? We got to tell people stuff,

496
00:27:07,760 --> 00:27:10,840
Speaker 1: Come on, But yeah, I mean the whole idea is

497
00:27:10,920 --> 00:27:15,880
Speaker 1: to so just walk out technology is what they're calling it.

498
00:27:16,040 --> 00:27:19,000
Speaker 1: They put up signs in forming people more than a

499
00:27:19,080 --> 00:27:22,480
Speaker 1: year after the law went into effect. But it's like

500
00:27:22,680 --> 00:27:29,200
Speaker 1: using biometrics and cameras to basically track people, like recognize

501
00:27:29,200 --> 00:27:31,440
Speaker 1: them when they walk in, and then they can walk

502
00:27:31,480 --> 00:27:36,040
Speaker 1: out with the stuff and you have paid for it. Essentially,

503
00:27:36,119 --> 00:27:39,560
Speaker 1: they'll just like charge your account. And the whole idea

504
00:27:39,720 --> 00:27:46,760
Speaker 1: here is that it's to reduce they call human interactions

505
00:27:46,760 --> 00:27:50,080
Speaker 1: like friction. Like their goal is to completely turn us

506
00:27:50,119 --> 00:27:55,760
Speaker 1: into autonomous consumption machines. And there's no good way to

507
00:27:55,960 --> 00:28:00,199
Speaker 1: monetize like human interaction, and in fact, it makes the

508
00:28:00,240 --> 00:28:05,160
Speaker 1: purchase the purchases move slower. So they're just trying to

509
00:28:05,240 --> 00:28:10,600
Speaker 1: design a skinner box maze that is like lonelier and

510
00:28:10,680 --> 00:28:14,120
Speaker 1: more focused on the efficiency of like getting the thing

511
00:28:14,160 --> 00:28:18,120
Speaker 1: you want and leaving, which in the moment feels good,

512
00:28:18,359 --> 00:28:20,760
Speaker 1: like they like you. You want to be able to

513
00:28:20,880 --> 00:28:24,480
Speaker 1: skip the line in the moment, right, But at the

514
00:28:24,520 --> 00:28:27,800
Speaker 1: same time, like I just feel like we're building towards

515
00:28:27,840 --> 00:28:32,359
Speaker 1: like we're seeing you know, people's responses on like metrics

516
00:28:32,400 --> 00:28:36,399
Speaker 1: of loneliness, and you know, we're seeing things like deaths

517
00:28:36,440 --> 00:28:40,760
Speaker 1: of despair go through the roof as we get more

518
00:28:40,800 --> 00:28:46,800
Speaker 1: and more just like funneled into these little individualized consumption

519
00:28:46,840 --> 00:28:49,120
Speaker 1: boxes where we're like okay, and then I like use

520
00:28:49,200 --> 00:28:51,440
Speaker 1: my phone to order the food it gets dropped off

521
00:28:51,440 --> 00:28:54,440
Speaker 1: on my porch, and then I go into the store

522
00:28:54,960 --> 00:28:58,920
Speaker 1: and don't talk to anyone. I just you know, keep

523
00:28:59,160 --> 00:29:01,400
Speaker 1: keep my eyes in on me, get the stuff I want,

524
00:29:01,440 --> 00:29:05,480
Speaker 1: and then walk out and like that. That's the old

525
00:29:05,560 --> 00:29:08,520
Speaker 1: that's their ultimate goal here, And I think it's kind

526
00:29:08,560 --> 00:29:12,000
Speaker 1: of in line with what our instincts tell us we

527
00:29:12,000 --> 00:29:15,800
Speaker 1: want in the moment, but what overall is probably going

528
00:29:15,840 --> 00:29:19,400
Speaker 1: to be bad for us. Yeah. I think it's the

529
00:29:19,440 --> 00:29:22,960
Speaker 1: same concept as like the checkout lines, where there's a

530
00:29:23,080 --> 00:29:27,520
Speaker 1: primary like directive for it, and then there's a secondary

531
00:29:27,720 --> 00:29:29,880
Speaker 1: I think layer to it. Well, they'll use it to

532
00:29:30,040 --> 00:29:32,160
Speaker 1: victimize themselves, to be like we tried to make it

533
00:29:32,200 --> 00:29:34,400
Speaker 1: more convenient for you guys, but you just keep like,

534
00:29:34,760 --> 00:29:36,720
Speaker 1: you know, stealing from us because we made it too

535
00:29:36,720 --> 00:29:38,760
Speaker 1: easy to steal from us, and we trusted you, And

536
00:29:39,040 --> 00:29:43,240
Speaker 1: I just I don't like how they use this technology

537
00:29:43,280 --> 00:29:45,640
Speaker 1: as a way to claim it's easier for us, and

538
00:29:45,680 --> 00:29:49,960
Speaker 1: then I feel like there's a twofold reason for doing it.

539
00:29:49,960 --> 00:29:52,240
Speaker 1: It might seem good in the short term for them,

540
00:29:52,280 --> 00:29:56,600
Speaker 1: but then they can also use these friction lists interactions

541
00:29:56,600 --> 00:29:58,640
Speaker 1: as a way to see like, well, our customers are

542
00:29:58,680 --> 00:30:00,920
Speaker 1: taking advantage of us somehow, so let's tighten the belt

543
00:30:01,000 --> 00:30:04,080
Speaker 1: or like you know, that's that's monitor them even more

544
00:30:04,120 --> 00:30:07,720
Speaker 1: and it's they're overreaching. They always have been, but it's

545
00:30:07,760 --> 00:30:12,360
Speaker 1: getting like really scary and invasive too. Yeah. Yeah, And

546
00:30:12,440 --> 00:30:15,600
Speaker 1: I think it doesn't help that they hit it, you know,

547
00:30:15,680 --> 00:30:19,320
Speaker 1: Like that's the thing where it doesn't garner trust when

548
00:30:19,320 --> 00:30:23,120
Speaker 1: your first instinct was to not tell anyone about it,

549
00:30:23,520 --> 00:30:26,960
Speaker 1: because what's the use of like what? I think you're right, like,

550
00:30:27,240 --> 00:30:30,160
Speaker 1: there is a lot of reason to have it. And

551
00:30:30,200 --> 00:30:32,360
Speaker 1: if they were like, oh, the way that this technology

552
00:30:32,400 --> 00:30:34,160
Speaker 1: works is we you know, we're able to track your

553
00:30:34,160 --> 00:30:36,400
Speaker 1: face and da da da. You know you would know,

554
00:30:36,960 --> 00:30:39,520
Speaker 1: but you inherently know that people are able to do

555
00:30:39,560 --> 00:30:44,480
Speaker 1: the mental math to be like, oh, but to do

556
00:30:44,520 --> 00:30:49,480
Speaker 1: that the thing, and they're still denying it. They're like, no,

557
00:30:49,600 --> 00:30:53,560
Speaker 1: we're not using facial recognition technology. Only shoppers who choose

558
00:30:53,560 --> 00:30:56,080
Speaker 1: to enroll an Amazon One and choose to be identified

559
00:30:56,080 --> 00:30:58,960
Speaker 1: by hovering their palm over the Amazon One device have

560
00:30:59,080 --> 00:31:02,640
Speaker 1: their palm by metric data securely collected and these individuals

561
00:31:02,640 --> 00:31:05,280
Speaker 1: are provided the appropriate privacy just I think that's how

562
00:31:05,280 --> 00:31:08,240
Speaker 1: it is in most places. But I know they're experimenting

563
00:31:08,240 --> 00:31:11,000
Speaker 1: with the facial recognition ship, like they've had like test

564
00:31:11,080 --> 00:31:13,479
Speaker 1: cases where people are like, I just walked in and

565
00:31:13,520 --> 00:31:16,320
Speaker 1: walked out with the ship and they were they charged me.

566
00:31:16,680 --> 00:31:19,320
Speaker 1: So yeah. And also it's the thing where it's like

567
00:31:19,360 --> 00:31:22,320
Speaker 1: you can say that you're not, but it's like the

568
00:31:22,360 --> 00:31:26,400
Speaker 1: facial you're saying that. In fact, the facial recognition software

569
00:31:26,560 --> 00:31:29,600
Speaker 1: is there. So it's not like that automatically turns off

570
00:31:29,640 --> 00:31:31,800
Speaker 1: if I don't sign up for your do hicky app.

571
00:31:31,840 --> 00:31:34,960
Speaker 1: It's not like that my face isn't being tracked, because

572
00:31:35,320 --> 00:31:38,400
Speaker 1: for that to work, my face has to be tracked,

573
00:31:38,440 --> 00:31:41,160
Speaker 1: like not in the sense that you're trying to track me,

574
00:31:41,240 --> 00:31:43,640
Speaker 1: but you need to track me to discern me from

575
00:31:43,640 --> 00:31:46,120
Speaker 1: the ones who did sign up. So in some way,

576
00:31:46,160 --> 00:31:49,280
Speaker 1: shape or form, that would mean that you have my

577
00:31:49,440 --> 00:31:53,160
Speaker 1: face in your in your database. And we've also seen

578
00:31:53,200 --> 00:31:56,680
Speaker 1: time and time again how easy it is for that

579
00:31:56,720 --> 00:31:59,720
Speaker 1: to immediately turn into oh. And then also the cops

580
00:31:59,720 --> 00:32:04,120
Speaker 1: are now able to subpoena this from PS that's that's

581
00:32:04,120 --> 00:32:08,040
Speaker 1: the truly scary part. And they're not going to tell

582
00:32:08,080 --> 00:32:11,080
Speaker 1: you that they're doing that either. And it reminds me

583
00:32:11,120 --> 00:32:14,760
Speaker 1: of like that that James Dolan story about him monitoring

584
00:32:14,800 --> 00:32:17,320
Speaker 1: people who came into the venues he owned with facial

585
00:32:17,360 --> 00:32:20,479
Speaker 1: recognition technology. And we're going to see this story a

586
00:32:20,520 --> 00:32:22,400
Speaker 1: lot more. Like I'm sure there's going to be a

587
00:32:22,440 --> 00:32:25,800
Speaker 1: story about Elon Musk using, you know, biometric scanners to

588
00:32:25,880 --> 00:32:29,040
Speaker 1: monitor his ex girlfriends or something like that. Like it's

589
00:32:29,120 --> 00:32:31,880
Speaker 1: this is gonna come up. Oh, don't don't get me started.

590
00:32:32,000 --> 00:32:36,600
Speaker 1: I have I do own a Tesla model. Why and

591
00:32:36,880 --> 00:32:41,360
Speaker 1: what's wild about that? And I didn't even know. But

592
00:32:41,440 --> 00:32:45,560
Speaker 1: for the longest, you know, from the inception of this car,

593
00:32:46,160 --> 00:32:49,600
Speaker 1: they've put a cabin camera where like it's it's like

594
00:32:50,040 --> 00:32:53,240
Speaker 1: right where your rear view mirror would be, but there's

595
00:32:53,240 --> 00:32:56,120
Speaker 1: a small circle and there's been a cabin camera there.

596
00:32:56,200 --> 00:32:59,520
Speaker 1: They don't I didn't know. It isn't overtly anywhere, and

597
00:32:59,560 --> 00:33:01,480
Speaker 1: I would because I when I was waiting for the

598
00:33:01,520 --> 00:33:03,000
Speaker 1: car and I was excited. I was looking at all

599
00:33:03,000 --> 00:33:07,000
Speaker 1: the features and stuff, and it wasn't until they just did, like, oh,

600
00:33:07,040 --> 00:33:10,080
Speaker 1: to update for the self driving feature. No. First they

601
00:33:10,120 --> 00:33:13,320
Speaker 1: were like, in this update, we are you can give

602
00:33:13,400 --> 00:33:17,000
Speaker 1: us permission to upload the cabin the cabin camera. And

603
00:33:17,000 --> 00:33:19,640
Speaker 1: I was like cabin camera and I look up and

604
00:33:19,680 --> 00:33:22,160
Speaker 1: I was like, oh, there's been a camera in my

605
00:33:22,280 --> 00:33:26,920
Speaker 1: car this whole time that looks in and sees me driving.

606
00:33:26,960 --> 00:33:29,320
Speaker 1: And then they added the like self driving, which like

607
00:33:30,640 --> 00:33:35,000
Speaker 1: it's self driving is is such a headache because like

608
00:33:35,040 --> 00:33:37,520
Speaker 1: I get all sides of it right where it's like

609
00:33:37,880 --> 00:33:41,120
Speaker 1: you got the people who aren't self driving, and they

610
00:33:41,640 --> 00:33:45,200
Speaker 1: and they don't want to be on the road with

611
00:33:45,240 --> 00:33:49,440
Speaker 1: these essentially a beta experiment with this, right. But then

612
00:33:49,560 --> 00:33:51,960
Speaker 1: so they're trying to cover their tracks. Why They're like, well,

613
00:33:51,960 --> 00:33:54,440
Speaker 1: with self driving, you have to have hands on the

614
00:33:54,440 --> 00:33:56,760
Speaker 1: wheel looking at the road and all that. And it

615
00:33:56,880 --> 00:33:59,680
Speaker 1: was like, well, then why am I using this? Obviously

616
00:33:59,760 --> 00:34:01,800
Speaker 1: if I want self driving it so I can do

617
00:34:01,920 --> 00:34:05,160
Speaker 1: other things other than driving, Like no one wants to

618
00:34:05,360 --> 00:34:08,200
Speaker 1: be if my hands are on the wheels and here's there,

619
00:34:08,680 --> 00:34:11,200
Speaker 1: Why am I just not driving like that's just drive

620
00:34:11,760 --> 00:34:15,320
Speaker 1: like you are self driving, sure, but I'm I'm driving

621
00:34:15,400 --> 00:34:18,680
Speaker 1: obviously I want to like answer emails and all that stuff.

622
00:34:18,960 --> 00:34:23,080
Speaker 1: And now and now they have the cabin camera, so

623
00:34:23,120 --> 00:34:25,480
Speaker 1: that if you're not looking at the road, if you're

624
00:34:25,480 --> 00:34:28,120
Speaker 1: not facing forward, it's gonna be like, hey, you're not

625
00:34:28,160 --> 00:34:30,759
Speaker 1: looking at the road, and after I warned you a

626
00:34:30,800 --> 00:34:32,400
Speaker 1: couple of times, it'll shut it off and then you

627
00:34:32,400 --> 00:34:34,120
Speaker 1: can't use it. And then if it shuts off like

628
00:34:34,160 --> 00:34:36,759
Speaker 1: that five times, you get it revoked, which also is

629
00:34:36,800 --> 00:34:39,399
Speaker 1: going to put it in iffy territory because for people

630
00:34:39,440 --> 00:34:42,879
Speaker 1: like me who pay for the self driving where it's

631
00:34:42,920 --> 00:34:48,200
Speaker 1: like you pay ten brand for this extra feature that

632
00:34:48,360 --> 00:34:50,440
Speaker 1: now can be ripped for you if you don't follow

633
00:34:50,480 --> 00:34:52,879
Speaker 1: these rules. Mind you new rules that they have just

634
00:34:52,960 --> 00:34:56,280
Speaker 1: been implemented, like they added. So I'm like this, this

635
00:34:56,520 --> 00:34:58,719
Speaker 1: feels like if the territory, but I'm sure when you

636
00:34:58,760 --> 00:35:00,440
Speaker 1: signed it for the car there was some thing that

637
00:35:00,560 --> 00:35:03,080
Speaker 1: says like, you know, you have to follow these rules,

638
00:35:03,080 --> 00:35:06,440
Speaker 1: no matter future future rules, and Bullfield like yeah, and

639
00:35:06,560 --> 00:35:11,399
Speaker 1: if the territory is what you call your house, yeah yeah,

640
00:35:12,080 --> 00:35:15,560
Speaker 1: you're also your debut album. Yeah yeah, if you're territory,

641
00:35:15,960 --> 00:35:19,120
Speaker 1: uh yeah. So it's so it's very interesting to see

642
00:35:19,160 --> 00:35:22,719
Speaker 1: how we're going to go. And I think the the

643
00:35:23,160 --> 00:35:28,320
Speaker 1: steps would have been internally beta testing, passing tests, going

644
00:35:28,360 --> 00:35:33,080
Speaker 1: to the Department of Transposition Transportation getting it very vetted.

645
00:35:33,120 --> 00:35:36,400
Speaker 1: But everything is moving at light speed and there's just

646
00:35:36,520 --> 00:35:40,520
Speaker 1: so much issue. But honestly, like everyone's like, I don't

647
00:35:40,520 --> 00:35:42,200
Speaker 1: want to be on a car on the road with

648
00:35:42,320 --> 00:35:44,080
Speaker 1: a Tesla drive, I was like, actually, I think I

649
00:35:44,080 --> 00:35:48,719
Speaker 1: want more people auto driving because y'all can't drive. Like

650
00:35:48,800 --> 00:35:50,680
Speaker 1: everyone's I don't want to be honest like, no, you

651
00:35:50,719 --> 00:35:53,120
Speaker 1: can't drive. I've seen you. I've been on the road

652
00:35:53,120 --> 00:35:55,840
Speaker 1: with you. You cannot drive. You can blame the Tesla

653
00:35:55,840 --> 00:35:58,319
Speaker 1: all you want, but before there was Tesla's on the road,

654
00:35:58,360 --> 00:36:01,080
Speaker 1: you were still driving bad, and now you know you

655
00:36:01,160 --> 00:36:04,760
Speaker 1: have something to blame. Instead of being like, no, I've

656
00:36:04,800 --> 00:36:09,280
Speaker 1: saw I've saw two cars flipped over in the past

657
00:36:09,400 --> 00:36:12,560
Speaker 1: two days and none of them were Teslas. Y'all can't drive.

658
00:36:12,680 --> 00:36:15,520
Speaker 1: Stop trying to blame like the look, I'm not Elon sucks.

659
00:36:15,800 --> 00:36:18,799
Speaker 1: I'm not the Tesla drivers. We drive bad too, but

660
00:36:18,880 --> 00:36:21,879
Speaker 1: you drive. It's not them or us. We all drive

661
00:36:21,960 --> 00:36:25,160
Speaker 1: in bad out here. So let's get the technology that

662
00:36:25,239 --> 00:36:28,399
Speaker 1: lets us all just get traveled around like trains, so

663
00:36:28,440 --> 00:36:31,160
Speaker 1: we're not fucking up our day but causing an accident

664
00:36:31,360 --> 00:36:33,640
Speaker 1: on the four oh five that's gonna make a thirty

665
00:36:33,640 --> 00:36:37,120
Speaker 1: minute trip three hours. Yeah, Elon Musk is allowed to

666
00:36:37,520 --> 00:36:40,600
Speaker 1: watch your cabin camera footage and jerk off. I think

667
00:36:41,880 --> 00:36:44,879
Speaker 1: I think about that often because every time I'm mad

668
00:36:44,880 --> 00:36:46,600
Speaker 1: at him, I do look at the camera and say

669
00:36:46,600 --> 00:36:51,040
Speaker 1: fuck you, which is daily, so you know, I wonder

670
00:36:51,200 --> 00:36:53,480
Speaker 1: because you know, all of the stuff is over the

671
00:36:53,560 --> 00:36:58,080
Speaker 1: air updates, so like they're like, I do wonder if

672
00:36:58,080 --> 00:37:00,520
Speaker 1: there's just one. He is the type of person to

673
00:37:00,600 --> 00:37:07,560
Speaker 1: be so petty that we won't start. Yes, you said

674
00:37:07,600 --> 00:37:10,719
Speaker 1: something mean about me on Twitter. Yes, I'm sure you

675
00:37:10,880 --> 00:37:13,480
Speaker 1: pay some assistant to aggregate all of the people who

676
00:37:13,520 --> 00:37:15,560
Speaker 1: said some shit about him and then fox with their

677
00:37:15,600 --> 00:37:18,120
Speaker 1: teslas if they bought one. Yeah. Yeah, he's got too

678
00:37:18,160 --> 00:37:23,080
Speaker 1: much power. I mean James Dolan like picked some person

679
00:37:23,160 --> 00:37:27,440
Speaker 1: who insulted him years before, was that a Rockets show

680
00:37:27,640 --> 00:37:31,480
Speaker 1: and with her kids and like was forcibly removed from

681
00:37:31,480 --> 00:37:33,719
Speaker 1: the premises and had to like wait outside while her

682
00:37:33,800 --> 00:37:37,759
Speaker 1: kids were like finishing the show because of facial recognition technology.

683
00:37:37,840 --> 00:37:39,920
Speaker 1: So he said he didn't do it. So this is

684
00:37:39,960 --> 00:37:43,359
Speaker 1: another example of people like doing this and being like no, no, no,

685
00:37:43,480 --> 00:37:49,640
Speaker 1: not me. Yeah, just more and more like brittle billionaire egos,

686
00:37:49,280 --> 00:37:53,560
Speaker 1: like with more and more powerful technology is going probably

687
00:37:53,640 --> 00:37:57,359
Speaker 1: not a good path to be on, but well we'll

688
00:37:57,360 --> 00:38:02,160
Speaker 1: see it coming. Yeah, I know, good luck to us.

689
00:38:02,640 --> 00:38:05,040
Speaker 1: I mean with the self driving ship. Like six years ago,

690
00:38:05,200 --> 00:38:08,719
Speaker 1: they released a viral video where a car like drives

691
00:38:08,760 --> 00:38:10,919
Speaker 1: a long distance and they like did the whole thing,

692
00:38:10,960 --> 00:38:13,719
Speaker 1: and we're like there was a person in the driver

693
00:38:13,760 --> 00:38:17,160
Speaker 1: receipt purely for legal reasons, they didn't touch it. And

694
00:38:17,200 --> 00:38:19,640
Speaker 1: then like it turns out we just found out this

695
00:38:19,719 --> 00:38:22,440
Speaker 1: year they were lying about that they had like preprogrammed

696
00:38:22,520 --> 00:38:26,160
Speaker 1: the entire route, like it it was not what they

697
00:38:26,160 --> 00:38:30,120
Speaker 1: were claiming it to be. But yeah, they're they're just

698
00:38:30,360 --> 00:38:33,200
Speaker 1: out in front of it. Like that's that's the thing

699
00:38:33,320 --> 00:38:36,839
Speaker 1: is Like if they were doing things the way that

700
00:38:36,920 --> 00:38:39,800
Speaker 1: you were describing, where it's like they get the Department

701
00:38:39,840 --> 00:38:44,040
Speaker 1: of Transportation on board. The Department of Transportation was not

702
00:38:44,280 --> 00:38:49,520
Speaker 1: basically just scared of every industry and every billionaire and

703
00:38:49,719 --> 00:38:53,040
Speaker 1: actually like did their job of like protecting people and

704
00:38:53,440 --> 00:38:57,120
Speaker 1: you know, overseeing train monopolies and shit, Like we might

705
00:38:57,160 --> 00:39:00,080
Speaker 1: be in okay shape, but like, yeah, I don't know.

706
00:39:00,160 --> 00:39:03,360
Speaker 1: With with things the way they are, I just feel

707
00:39:03,360 --> 00:39:07,480
Speaker 1: like they're they're going to be like accidents. I don't

708
00:39:07,520 --> 00:39:09,080
Speaker 1: know if they'll be at the same rate as like

709
00:39:09,120 --> 00:39:11,360
Speaker 1: the accidents people will be causing on their own, but

710
00:39:11,400 --> 00:39:14,000
Speaker 1: then there will be like, Okay, there's a beta update

711
00:39:14,080 --> 00:39:17,680
Speaker 1: to address that, and it'll just be very like haphazard.

712
00:39:18,280 --> 00:39:22,480
Speaker 1: There's something unnerving about the whole thing. Yeah, and I'm

713
00:39:22,520 --> 00:39:25,360
Speaker 1: excited to see where the counter culture go, Like the

714
00:39:25,400 --> 00:39:28,239
Speaker 1: counter movement comes for that, because I've seen a few

715
00:39:28,280 --> 00:39:31,920
Speaker 1: things where there's like this fashion movement of certain garments

716
00:39:31,960 --> 00:39:35,560
Speaker 1: like hoodies or whatever that like scramble facial recognition technology

717
00:39:35,600 --> 00:39:38,120
Speaker 1: and things like that, and I find that fascinating. There's

718
00:39:38,120 --> 00:39:39,960
Speaker 1: gonna be two sides of the coin here, and they're

719
00:39:40,000 --> 00:39:42,600
Speaker 1: gonna spread farther and farther out from each other. Yeah,

720
00:39:42,680 --> 00:39:44,880
Speaker 1: it looks cool. I love it in theory, but I

721
00:39:44,880 --> 00:39:48,239
Speaker 1: feel like time and again in America, we keep being like, man,

722
00:39:48,280 --> 00:39:51,200
Speaker 1: what's the art? What's the response to Trump gonna be?

723
00:39:51,320 --> 00:39:54,200
Speaker 1: What's gonna And it's like people are just too busy

724
00:39:54,920 --> 00:39:59,600
Speaker 1: working so that they can have healthcare to like unless

725
00:39:59,680 --> 00:40:03,200
Speaker 1: things like shut down with the pandemic like that, people

726
00:40:03,320 --> 00:40:09,120
Speaker 1: like don't have the time to scramble together a resistance yeah,

727
00:40:09,200 --> 00:40:11,359
Speaker 1: so I mean, but yeah, it would be dope if

728
00:40:11,400 --> 00:40:15,200
Speaker 1: like everybody got together and said fuck the billionaires. And

729
00:40:15,239 --> 00:40:17,840
Speaker 1: I think there are cool examples of that that will

730
00:40:18,400 --> 00:40:22,239
Speaker 1: highlight in days and years to come for sure. All Right,

731
00:40:22,560 --> 00:40:24,640
Speaker 1: well let's take a quick break and then we'll talk

732
00:40:24,640 --> 00:40:28,680
Speaker 1: about how brands are the new movie protect We'll be

733
00:40:28,800 --> 00:40:44,160
Speaker 1: right back, and we're back, and when it rains, it pours.

734
00:40:44,239 --> 00:40:48,400
Speaker 1: We've been highlighting, you know, the Air Jordan origin stories

735
00:40:48,440 --> 00:40:52,680
Speaker 1: coming out. There was a BlackBerry origin story trailer that

736
00:40:52,800 --> 00:40:57,000
Speaker 1: dropped earlier last week that actually looked fun. People seem

737
00:40:57,120 --> 00:41:00,480
Speaker 1: like on board with this Tetris one. It's, you know,

738
00:41:00,719 --> 00:41:03,080
Speaker 1: a very cool story. So like that this seems to

739
00:41:03,120 --> 00:41:07,680
Speaker 1: be not just a couple isolated incidents. But like you know,

740
00:41:08,200 --> 00:41:11,680
Speaker 1: we've been saying, like it makes sense that brands would

741
00:41:11,719 --> 00:41:15,160
Speaker 1: be the new movie protagonists. They're like what we're going

742
00:41:15,200 --> 00:41:18,160
Speaker 1: to have in so superhero movies because or you know

743
00:41:18,200 --> 00:41:20,920
Speaker 1: what we have instead of like the royals that Shakespeare

744
00:41:21,000 --> 00:41:25,200
Speaker 1: wrote about, we have brands because brands, actually corporations are

745
00:41:25,239 --> 00:41:28,040
Speaker 1: the thing that makes all the decisions that rule us,

746
00:41:28,080 --> 00:41:31,279
Speaker 1: which is why like succession is popular. It's like these

747
00:41:31,280 --> 00:41:35,360
Speaker 1: are the things that control our lives. They're American dynasties. Yes.

748
00:41:35,600 --> 00:41:40,000
Speaker 1: And so with all of that said, news of the

749
00:41:40,080 --> 00:41:43,040
Speaker 1: latest one. We knew, we had heard that this was

750
00:41:43,160 --> 00:41:46,400
Speaker 1: in the works early on, but they actually just premiered

751
00:41:46,440 --> 00:41:50,960
Speaker 1: the Flame and Hot Cheetos origin story at south By

752
00:41:51,000 --> 00:41:55,080
Speaker 1: Southwest and people seem to be on board. People are like,

753
00:41:55,120 --> 00:41:57,880
Speaker 1: it's actually really fun, y'all. Yeah, sorry, which is also

754
00:41:57,880 --> 00:42:00,399
Speaker 1: what I'm hearing about Air and what I'm here about

755
00:42:00,440 --> 00:42:04,480
Speaker 1: the BlackBerry movie and the Techers movie. It's like that, sorry,

756
00:42:04,600 --> 00:42:08,200
Speaker 1: this is just who we are unfortunately, Like this is that,

757
00:42:08,640 --> 00:42:11,080
Speaker 1: this is what a good movie is now. And yeah,

758
00:42:11,480 --> 00:42:14,000
Speaker 1: you know, I liked the social network. I mean I

759
00:42:14,040 --> 00:42:16,439
Speaker 1: think I think it makes sense. You know, we are this,

760
00:42:16,719 --> 00:42:21,120
Speaker 1: uh we were we're so consumed by brands now right

761
00:42:21,440 --> 00:42:25,400
Speaker 1: because we're like locked in on the on the Internet.

762
00:42:25,560 --> 00:42:30,719
Speaker 1: And I think some good can come from, uh, from

763
00:42:30,800 --> 00:42:33,919
Speaker 1: movies like this, like Air and so where you kind

764
00:42:33,920 --> 00:42:37,120
Speaker 1: of dehumanize the brand, where you're like, no, this is

765
00:42:37,160 --> 00:42:39,880
Speaker 1: an idea made up of people, and these are the

766
00:42:39,880 --> 00:42:42,799
Speaker 1: people behind it. Because there's this weirdness when you see

767
00:42:42,840 --> 00:42:46,400
Speaker 1: brands of social media and like the brand managers running

768
00:42:46,400 --> 00:42:49,560
Speaker 1: the account and doing memes that it gives these brands

769
00:42:49,560 --> 00:42:53,040
Speaker 1: a personality person yeah, And I feel like movies like

770
00:42:53,080 --> 00:42:56,640
Speaker 1: these can actually work against that hopefully and be like Nope,

771
00:42:56,760 --> 00:42:59,440
Speaker 1: this is a company and this is the people behind it.

772
00:42:59,680 --> 00:43:02,640
Speaker 1: And I think Social Network is a great idea because

773
00:43:02,680 --> 00:43:05,520
Speaker 1: I feel like that movie was the downfall of the

774
00:43:05,680 --> 00:43:09,759
Speaker 1: like making you know, Mark Zuckerberg seem cool. Like I

775
00:43:09,800 --> 00:43:11,680
Speaker 1: feel like that once that movie came out, people are like, oh,

776
00:43:11,719 --> 00:43:13,560
Speaker 1: he is kind of a dick and he hasn't It

777
00:43:13,560 --> 00:43:16,920
Speaker 1: made me seem more charismatic than he really is, because

778
00:43:17,040 --> 00:43:20,319
Speaker 1: Jesse Eisenberg is like the actor who's very charismatic on screen.

779
00:43:20,400 --> 00:43:22,120
Speaker 1: But it also was like, yeah, but like what this

780
00:43:22,280 --> 00:43:27,480
Speaker 1: dude decided ultimately to do was big and vast and

781
00:43:27,840 --> 00:43:31,000
Speaker 1: fucked up, like real fucked up and not you know,

782
00:43:31,080 --> 00:43:34,719
Speaker 1: not something that he probably wanted to approve. Like that's

783
00:43:35,320 --> 00:43:38,040
Speaker 1: you know, I think best case scenario. It gives us

784
00:43:38,080 --> 00:43:42,239
Speaker 1: more insights like that worst case scenario, though, we're like

785
00:43:42,560 --> 00:43:48,000
Speaker 1: getting to see these people making corporate decisions and like

786
00:43:48,080 --> 00:43:52,440
Speaker 1: they're being like made into heroes, while like the things

787
00:43:52,480 --> 00:43:55,920
Speaker 1: that make those corporate decisions possible is like you know,

788
00:43:56,320 --> 00:44:01,759
Speaker 1: grinding lower paid workers to you know, and just you know,

789
00:44:01,840 --> 00:44:05,880
Speaker 1: people being threatened with starvation and lack of healthcare. Yeah,

790
00:44:05,920 --> 00:44:08,680
Speaker 1: I mean work around the clock. Yeah, and I'm actually

791
00:44:08,719 --> 00:44:11,080
Speaker 1: here for this, like we're are you alluded to this

792
00:44:11,120 --> 00:44:14,879
Speaker 1: earlier Jack about there's like a big allegedly caveat with

793
00:44:15,040 --> 00:44:18,200
Speaker 1: the origin story about the full truthfulness of it or not,

794
00:44:18,440 --> 00:44:20,239
Speaker 1: And actually we should just talk about that before I

795
00:44:20,239 --> 00:44:24,120
Speaker 1: give my point about sure. Yeah, So this movie, the

796
00:44:24,160 --> 00:44:28,160
Speaker 1: Flame and Hot Cheetos movie, is the story of a

797
00:44:28,800 --> 00:44:32,719
Speaker 1: somebody who I think was like framed as a custodian

798
00:44:32,760 --> 00:44:37,480
Speaker 1: in the original origin story who worked for Freedo Lay

799
00:44:38,000 --> 00:44:42,760
Speaker 1: and was just like a big fan of their work

800
00:44:43,120 --> 00:44:45,799
Speaker 1: and was also, you know, a tinkerer, had a little

801
00:44:45,840 --> 00:44:51,319
Speaker 1: shed in his backyard. So Richard Montanez is his name,

802
00:44:51,520 --> 00:44:57,279
Speaker 1: and he basically tells the story that he, you know,

803
00:44:57,480 --> 00:45:02,160
Speaker 1: worked for Friedo Lay in like custodial capacity or it

804
00:45:02,320 --> 00:45:04,200
Speaker 1: was like, you know, a lower level work or I

805
00:45:04,239 --> 00:45:06,759
Speaker 1: think it was first pitched as like he was a

806
00:45:06,760 --> 00:45:12,320
Speaker 1: custodian and then tinkered with these flavors like putting elote

807
00:45:12,320 --> 00:45:16,640
Speaker 1: like Mexican you know, the Mexican street food of elote,

808
00:45:16,680 --> 00:45:19,680
Speaker 1: of like grilled corn with lime and chili and he

809
00:45:19,760 --> 00:45:23,000
Speaker 1: was like, what if we put those spices on Cheetos,

810
00:45:23,160 --> 00:45:25,879
Speaker 1: like what like these would be good? And then like

811
00:45:25,960 --> 00:45:28,480
Speaker 1: it was so good that he then like brought it

812
00:45:28,560 --> 00:45:33,040
Speaker 1: to the Friedo Lay CEO at the time, Roger Enrico,

813
00:45:33,239 --> 00:45:36,960
Speaker 1: and he was like, this is brilliant and flaming hot

814
00:45:37,040 --> 00:45:41,680
Speaker 1: Cheetos was born. Except for the fact that Friedo La

815
00:45:41,800 --> 00:45:44,239
Speaker 1: claims like none of that is true, and I still

816
00:45:44,280 --> 00:45:46,680
Speaker 1: don't know like where I fall on this, Like somebody

817
00:45:47,000 --> 00:45:49,560
Speaker 1: want to see somebody to do like a real deep

818
00:45:49,600 --> 00:45:52,960
Speaker 1: dive into yeah, what part of it is true? Because obviously,

819
00:45:53,080 --> 00:45:56,400
Speaker 1: like Friedo Lay is not going to want to be

820
00:45:57,040 --> 00:46:02,960
Speaker 1: overshadowed or also like legally liable to like pay this

821
00:46:03,000 --> 00:46:07,799
Speaker 1: person more than what they have already paid. So they're like,

822
00:46:08,320 --> 00:46:11,080
Speaker 1: you know, actually it was it was being test marketed

823
00:46:11,280 --> 00:46:14,080
Speaker 1: already when he claims to have come up with this

824
00:46:14,160 --> 00:46:17,520
Speaker 1: idea and just like real like their story seems to

825
00:46:17,719 --> 00:46:19,840
Speaker 1: want it both ways. They're like, we came up with

826
00:46:19,840 --> 00:46:22,680
Speaker 1: this idea and it's a very boring story of like

827
00:46:23,000 --> 00:46:26,920
Speaker 1: test kitchens and marketing and and none of his thing

828
00:46:27,000 --> 00:46:29,360
Speaker 1: is true, but we love him and we're here to

829
00:46:29,400 --> 00:46:33,520
Speaker 1: celebrate Richard and he contributed in some way, but not

830
00:46:33,680 --> 00:46:38,120
Speaker 1: a way that's legally liable to us, Like, yeah, I'm

831
00:46:38,160 --> 00:46:42,480
Speaker 1: actually here for this, like because you know how many

832
00:46:42,520 --> 00:46:45,719
Speaker 1: examples of whitewashing do we have where we find out

833
00:46:45,760 --> 00:46:48,560
Speaker 1: the person who really invented something was from a marginalized

834
00:46:48,600 --> 00:46:51,800
Speaker 1: community while some landowning white man claimed all the credit.

835
00:46:52,160 --> 00:46:56,600
Speaker 1: So so, and also to their credit they're even willing

836
00:46:56,640 --> 00:46:58,759
Speaker 1: to I guess they added in lines where they poke fun,

837
00:46:58,920 --> 00:47:01,080
Speaker 1: like a narrative, lines where they poked fun at this

838
00:47:01,320 --> 00:47:04,279
Speaker 1: maybe not being all the way true necessarily, which is

839
00:47:04,520 --> 00:47:08,120
Speaker 1: much more than my history books ever did. So I

840
00:47:08,160 --> 00:47:12,120
Speaker 1: feel like, you know, this is a good Like you know,

841
00:47:12,160 --> 00:47:16,799
Speaker 1: if sure fictionalized more origin stories of companies or take

842
00:47:16,800 --> 00:47:18,399
Speaker 1: all the white people out of it, put more black

843
00:47:18,400 --> 00:47:20,359
Speaker 1: and brown people and people of color in there, people

844
00:47:20,360 --> 00:47:22,759
Speaker 1: from marginalized communities, and say they did it, and I

845
00:47:22,760 --> 00:47:25,040
Speaker 1: don't care if it's a lie. I like the representation.

846
00:47:25,239 --> 00:47:28,120
Speaker 1: It's more than what we've had before. So yeah, yeah,

847
00:47:28,120 --> 00:47:31,440
Speaker 1: I like seeing this. Yeah no, I I yeah, I'm

848
00:47:31,480 --> 00:47:38,439
Speaker 1: always wary of companies being like, no, that's not true.

849
00:47:38,520 --> 00:47:40,120
Speaker 1: We were doing the test kitchen. I was like, okay,

850
00:47:40,120 --> 00:47:41,800
Speaker 1: who is the head chef? Who was it because it

851
00:47:41,920 --> 00:47:43,960
Speaker 1: was a white person, then its story still stands because

852
00:47:43,960 --> 00:47:46,840
Speaker 1: a white person like pull that from his culture, you know,

853
00:47:47,880 --> 00:47:50,880
Speaker 1: where it's like it's like the cool shows the receipts,

854
00:47:50,920 --> 00:47:57,320
Speaker 1: because you know, usually that's how they response guy's idea

855
00:47:57,360 --> 00:48:02,720
Speaker 1: of mayonnaise cheetos. Yeah, instead they're like, take my word

856
00:48:02,840 --> 00:48:06,000
Speaker 1: for it, please, how about we dump the cheetos and milk.

857
00:48:08,800 --> 00:48:11,600
Speaker 1: I'm just a little worried that these cheetos are gonna

858
00:48:11,600 --> 00:48:14,319
Speaker 1: be too spicy and they're gonna cause people to masturbate,

859
00:48:15,440 --> 00:48:19,239
Speaker 1: which was that that's one, so we'll get to it. Yeah,

860
00:48:19,280 --> 00:48:22,000
Speaker 1: because that's where corn flakes came from, was them being like,

861
00:48:22,080 --> 00:48:25,120
Speaker 1: we need to create a food so bland that it

862
00:48:25,200 --> 00:48:30,920
Speaker 1: will make kids stop jerking on. But yeah, it's a

863
00:48:31,600 --> 00:48:34,040
Speaker 1: it's a mess. But like this is apparently a messy,

864
00:48:34,200 --> 00:48:39,760
Speaker 1: fun movie that like relishes in certain exaggerations. It's less

865
00:48:40,200 --> 00:48:44,799
Speaker 1: the founder and more like it's got some adaptation like

866
00:48:44,960 --> 00:48:47,440
Speaker 1: vibes to it where you don't know really what to believe,

867
00:48:47,560 --> 00:48:51,759
Speaker 1: but it's it's a little bit fun and I'm I'm

868
00:48:51,800 --> 00:48:54,120
Speaker 1: I'm happy with that. Yeah, this seems like a fun

869
00:48:54,200 --> 00:48:58,160
Speaker 1: way to approach that and apparently a longoria doing a

870
00:48:59,000 --> 00:49:03,040
Speaker 1: doing some good work and her directorial debut, So that's

871
00:49:03,440 --> 00:49:06,279
Speaker 1: that's exciting. Yeah, and and these movies can be fun.

872
00:49:06,320 --> 00:49:08,239
Speaker 1: We already pointed out, like, you know, the Mighty Ducks.

873
00:49:08,280 --> 00:49:09,799
Speaker 1: I had fun with that when I was a child.

874
00:49:09,880 --> 00:49:11,920
Speaker 1: That's kind of what you know, It's it's more about

875
00:49:11,960 --> 00:49:14,560
Speaker 1: like team and stuff, but there's branding all over that shit.

876
00:49:14,960 --> 00:49:18,320
Speaker 1: Oh yeah, yeah, Mighty Ducks, Angels in the Outfield, of course,

877
00:49:18,400 --> 00:49:22,240
Speaker 1: the true story behind the formation of the California Angels

878
00:49:22,239 --> 00:49:25,560
Speaker 1: baseball team. But I mean, like there is a pretty

879
00:49:25,560 --> 00:49:28,760
Speaker 1: good track record with these movies, like Moneyball, I would

880
00:49:28,760 --> 00:49:31,719
Speaker 1: put in this category because it's like telling the purported

881
00:49:31,760 --> 00:49:37,120
Speaker 1: true story behind like the Oakland A's like like relevance.

882
00:49:37,160 --> 00:49:39,360
Speaker 1: They didn't even win anything, but they were like relevant

883
00:49:39,600 --> 00:49:41,799
Speaker 1: for a period of time when they had a very

884
00:49:41,840 --> 00:49:46,319
Speaker 1: low payroll social network. Ford versus Ferrari was I think

885
00:49:46,400 --> 00:49:49,120
Speaker 1: the most recent example of this that was like Oscar

886
00:49:49,200 --> 00:49:53,840
Speaker 1: nominated the Founder Steve Jobs and all the Steve Jobs

887
00:49:53,920 --> 00:50:00,000
Speaker 1: movies like that, the genre of Steve Jobs movies becoming, yeah,

888
00:50:00,120 --> 00:50:04,480
Speaker 1: its own thing. So that leads me to the question of,

889
00:50:04,520 --> 00:50:08,880
Speaker 1: like we already pitched lunchables, like the Lunchable story told

890
00:50:09,040 --> 00:50:11,960
Speaker 1: from the perspective of because that was like Oscar Meyer

891
00:50:12,120 --> 00:50:15,000
Speaker 1: was like, nobody wants to eat hot dogs and bologna anymore,

892
00:50:15,040 --> 00:50:19,800
Speaker 1: what do we do? And they invented lunchables and became

893
00:50:20,160 --> 00:50:23,040
Speaker 1: it became like one of the most profitable thing in foods,

894
00:50:23,080 --> 00:50:26,800
Speaker 1: but also gave a bunch of people horrible health issues

895
00:50:26,840 --> 00:50:29,760
Speaker 1: because it's one of the least healthy foods ever pawned

896
00:50:29,760 --> 00:50:33,799
Speaker 1: off like sold two children. But I could definitely see, like,

897
00:50:33,880 --> 00:50:37,160
Speaker 1: I'm kind of surprised that I haven't already heard about

898
00:50:37,520 --> 00:50:41,680
Speaker 1: a Coca Cola origin story movie like that. They must

899
00:50:41,680 --> 00:50:44,080
Speaker 1: just be being very precious with that. But the origin

900
00:50:44,160 --> 00:50:47,640
Speaker 1: story of Coca Cola is like has to be the

901
00:50:47,680 --> 00:50:51,279
Speaker 1: holy grail of these movies because it was invented by

902
00:50:51,480 --> 00:50:56,560
Speaker 1: a heroine or like morphine addict who like veteran of

903
00:50:56,600 --> 00:50:59,279
Speaker 1: the Civil War, where everybody came out of that war

904
00:50:59,400 --> 00:51:02,200
Speaker 1: addicted to morphine because they were all, you know, shot

905
00:51:02,280 --> 00:51:04,480
Speaker 1: up and in so much pain. I can I can

906
00:51:04,520 --> 00:51:07,640
Speaker 1: imagine maybe Coca Cola doesn't want to be associated with

907
00:51:07,640 --> 00:51:11,000
Speaker 1: the breaking bad type character, but I think they should

908
00:51:11,000 --> 00:51:13,320
Speaker 1: poke fun at them. They would have so much respect

909
00:51:13,400 --> 00:51:16,080
Speaker 1: for them if they did it. Yeah, yeah, and like

910
00:51:16,239 --> 00:51:18,920
Speaker 1: so at that time, one of the treatments for morphet

911
00:51:18,960 --> 00:51:24,040
Speaker 1: addiction was cocaine. They're like, try this, this healthy drug.

912
00:51:24,440 --> 00:51:27,319
Speaker 1: And that's where he found out about cocaine and how

913
00:51:27,360 --> 00:51:32,080
Speaker 1: he started putting it in his beverage and just you know,

914
00:51:32,120 --> 00:51:36,520
Speaker 1: the immediate out of control popularity of coca cola because

915
00:51:36,520 --> 00:51:39,360
Speaker 1: it had cocaine and it people were like, give me a,

916
00:51:39,680 --> 00:51:41,400
Speaker 1: give me a. I think they would call it a

917
00:51:41,400 --> 00:51:43,960
Speaker 1: dope at the time, and it would be like three

918
00:51:44,600 --> 00:51:46,879
Speaker 1: times stronger than it was meant to be. They would

919
00:51:46,920 --> 00:51:50,000
Speaker 1: just like put extra extra syrup in it, and people

920
00:51:50,000 --> 00:51:52,919
Speaker 1: would just run around high out of their mind. It's

921
00:51:52,920 --> 00:51:55,399
Speaker 1: the most American thing that's ever happened, like the whole

922
00:51:55,400 --> 00:52:00,120
Speaker 1: pulling yourself up from your bootstraps capitalism drug induced many

923
00:52:00,600 --> 00:52:03,319
Speaker 1: you gotta you gotta love it. Yeah, somebody like this

924
00:52:03,440 --> 00:52:07,960
Speaker 1: might need to be its own like long running HBO

925
00:52:08,040 --> 00:52:12,000
Speaker 1: series or something, because there's there's a lot of story there. Absolutely.

926
00:52:12,320 --> 00:52:14,680
Speaker 1: And then Elon Musk of course, like the Elon Musk

927
00:52:14,760 --> 00:52:19,359
Speaker 1: movies probably you know, fifteen twenty years from now are

928
00:52:19,400 --> 00:52:24,759
Speaker 1: going to be coming twenty twenty four, relentlessly coming in. Yes,

929
00:52:25,040 --> 00:52:27,319
Speaker 1: he's shopping it around right now. I also, and on

930
00:52:27,360 --> 00:52:30,600
Speaker 1: a serious note, I did we I pitched the Patagonia

931
00:52:30,719 --> 00:52:33,759
Speaker 1: movie at the beginning of the record session just because, like,

932
00:52:34,040 --> 00:52:37,600
Speaker 1: that guy has an interesting legacy. I'm not fully immersed

933
00:52:37,640 --> 00:52:39,760
Speaker 1: in everything that happened there. I just know some people

934
00:52:39,960 --> 00:52:42,120
Speaker 1: in the area that he took over in Chile. He

935
00:52:42,160 --> 00:52:45,800
Speaker 1: bought a lot of property with the intention of preserving

936
00:52:45,920 --> 00:52:50,000
Speaker 1: this area and making it pristine. And but you know,

937
00:52:50,040 --> 00:52:52,040
Speaker 1: the guy who owned it was, you know, this rich

938
00:52:52,120 --> 00:52:54,880
Speaker 1: white guy who was buying land in a country with

939
00:52:54,960 --> 00:52:58,080
Speaker 1: indigenous folks who were skeptical of him. And there's a

940
00:52:58,080 --> 00:53:03,480
Speaker 1: lot of stuff there. There's environmentalism, there's activism, there's capitalism,

941
00:53:03,520 --> 00:53:06,600
Speaker 1: there's adventure. Because that guy was going all around. I

942
00:53:06,680 --> 00:53:08,120
Speaker 1: keep saying that guy because I don't know his name,

943
00:53:08,320 --> 00:53:11,440
Speaker 1: but um, you know, he was climbing mountains, he was kayaking.

944
00:53:11,600 --> 00:53:16,760
Speaker 1: There's a whole like fantastical like Yellowstone type of movie

945
00:53:16,880 --> 00:53:21,279
Speaker 1: in there somewhere. Yeah, he left the company to the employees,

946
00:53:21,320 --> 00:53:23,879
Speaker 1: I thought, or at least yeah or something doing that,

947
00:53:24,239 --> 00:53:27,480
Speaker 1: and then he died tragically while he was like he

948
00:53:27,480 --> 00:53:29,800
Speaker 1: would think he was kayaking on a river and drowned

949
00:53:29,880 --> 00:53:33,080
Speaker 1: or something. But yeah, it's a fascinating story there. Yeah, yeah,

950
00:53:33,160 --> 00:53:37,200
Speaker 1: how about you if if he any like pitches for brands,

951
00:53:37,239 --> 00:53:39,560
Speaker 1: I mean, there's got to be some good like the

952
00:53:39,560 --> 00:53:43,960
Speaker 1: invention of the I want the Mountain Dew story. Oh yeah,

953
00:53:44,520 --> 00:53:48,360
Speaker 1: we messed it. There's Mountain ale to X games, you know,

954
00:53:48,440 --> 00:53:50,960
Speaker 1: and it'll be like it'll be like a like a

955
00:53:51,280 --> 00:53:55,080
Speaker 1: like a triple X action extreme sports, you know, from

956
00:53:55,120 --> 00:53:58,800
Speaker 1: Moonshine to kick Flips I love, yeah, like the Moonshiners.

957
00:53:59,440 --> 00:54:01,920
Speaker 1: I mean that this is actually the origin of NASCAR

958
00:54:03,320 --> 00:54:06,920
Speaker 1: people running Moonshine around in those cars that looked like

959
00:54:07,000 --> 00:54:09,960
Speaker 1: that in evading the police. So I mean NASCAR and

960
00:54:10,080 --> 00:54:15,480
Speaker 1: Mountain Dew could have a great yeah yeah, oh hell

961
00:54:15,560 --> 00:54:20,480
Speaker 1: yeah that sounds amazing. Green lighted Hollywood, take our idea.

962
00:54:20,680 --> 00:54:23,920
Speaker 1: There you go, you know. And also this is a

963
00:54:24,360 --> 00:54:32,759
Speaker 1: very uh a a very specific an extremely specific like

964
00:54:33,080 --> 00:54:37,239
Speaker 1: point of of hitting this up. But there was a

965
00:54:37,360 --> 00:54:42,600
Speaker 1: thing where there was this company called Chatters in Utah

966
00:54:42,680 --> 00:54:45,760
Speaker 1: and it was basically a bootleg in and Out because

967
00:54:45,800 --> 00:54:48,120
Speaker 1: at the time, In and Out only was in California

968
00:54:48,160 --> 00:54:50,960
Speaker 1: and I think Las Vegas those were the like it was.

969
00:54:51,239 --> 00:54:54,359
Speaker 1: It was being like we're a California restaurant, and so

970
00:54:54,400 --> 00:54:58,879
Speaker 1: they made the bootleg Chatters and In and outsooed them.

971
00:54:59,400 --> 00:55:01,280
Speaker 1: I think they try. I had to have the defense

972
00:55:01,320 --> 00:55:05,640
Speaker 1: of like, well, in and Out only exists in California,

973
00:55:05,840 --> 00:55:08,719
Speaker 1: and so in and Out basically made an in and

974
00:55:08,760 --> 00:55:13,680
Speaker 1: out in Utah after that case. And now that there's

975
00:55:13,800 --> 00:55:19,480
Speaker 1: one in and Out that's in Utah because of this Chatters.

976
00:55:19,480 --> 00:55:22,040
Speaker 1: So it's like instead of the founder, it's like the

977
00:55:22,120 --> 00:55:28,680
Speaker 1: origin story of McDowell's. Yeah, it's like version. If you

978
00:55:28,719 --> 00:55:33,120
Speaker 1: build it, they would come type by. That sounds incredible,

979
00:55:33,239 --> 00:55:36,520
Speaker 1: and Utah is fascinating, like just all the all the

980
00:55:37,280 --> 00:55:41,600
Speaker 1: weird culture that that pops up there, floating soda shops

981
00:55:41,600 --> 00:55:45,840
Speaker 1: from food too. Yeah, amazing. Well, if he as always

982
00:55:46,200 --> 00:55:48,640
Speaker 1: truly a pleasure of having you on the daily zeitgeist.

983
00:55:48,640 --> 00:55:52,200
Speaker 1: Where can people find you? Follow you all that good stuff?

984
00:55:52,360 --> 00:55:54,400
Speaker 1: You find me if you wad away on Twitter and

985
00:55:54,440 --> 00:55:57,399
Speaker 1: Instagram and that's where you'll be locked in on all

986
00:55:57,400 --> 00:56:00,480
Speaker 1: the things I'm up to. Yeah. Yeah, And is there

987
00:56:00,560 --> 00:56:03,800
Speaker 1: a tweet or work of media that you've been enjoying?

988
00:56:04,120 --> 00:56:06,600
Speaker 1: Oh yeah, I have to load it up right there.

989
00:56:07,320 --> 00:56:09,640
Speaker 1: It's a you know, I'll describe it for the listener

990
00:56:09,680 --> 00:56:13,160
Speaker 1: at home, which is gonna be you know, interesting if

991
00:56:13,200 --> 00:56:15,600
Speaker 1: you've not familiar with the game. But it's a picture

992
00:56:16,080 --> 00:56:19,399
Speaker 1: of my alert from the Fallout series, which are these

993
00:56:19,480 --> 00:56:22,840
Speaker 1: large kind of crab human norm things, and the tweet

994
00:56:22,920 --> 00:56:25,959
Speaker 1: just says they be eaten shit like this in Louisiana.

995
00:56:26,120 --> 00:56:28,239
Speaker 1: And the first time I saw it, I laughed for

996
00:56:28,920 --> 00:56:32,520
Speaker 1: thirty minutes straight. And then you keep laughing as you

997
00:56:33,080 --> 00:56:37,120
Speaker 1: scroll down the replies, and there's a bunch of Louisiana

998
00:56:37,160 --> 00:56:40,640
Speaker 1: ins being like yeah and like like not even deflecting,

999
00:56:41,120 --> 00:56:44,960
Speaker 1: not denying the accusations. They're like, yes, we would fry

1000
00:56:45,000 --> 00:56:53,360
Speaker 1: that shit up. Yeah, just the crawdads, the yeah, the

1001
00:56:53,480 --> 00:56:58,040
Speaker 1: little things they yeah, crawling, they pull some wild looking,

1002
00:56:58,160 --> 00:57:02,040
Speaker 1: bug looking shit out of the mud and make it delicious. Yea.

1003
00:57:02,120 --> 00:57:04,360
Speaker 1: I sent it to my sister just to see, you know,

1004
00:57:04,400 --> 00:57:06,640
Speaker 1: because mom's side off New Orleans, so you know, we

1005
00:57:06,800 --> 00:57:10,719
Speaker 1: raised on that type beat. And she said, lameo, that

1006
00:57:10,760 --> 00:57:18,040
Speaker 1: little than a lang be the best part two, Like

1007
00:57:18,160 --> 00:57:22,080
Speaker 1: they've already figured out the parts that would taste good,

1008
00:57:22,200 --> 00:57:25,960
Speaker 1: Like that's how far people in Louisiana are. Deep in

1009
00:57:26,000 --> 00:57:30,160
Speaker 1: the shellfish and sea booty. They're like, we know what

1010
00:57:30,240 --> 00:57:34,080
Speaker 1: parts of this is going to be good? Yeah, that's amazing.

1011
00:57:34,720 --> 00:57:37,919
Speaker 1: Justin where can people find you? Is there a work

1012
00:57:37,960 --> 00:57:40,440
Speaker 1: of media you've been enjoying? You can find me at

1013
00:57:40,600 --> 00:57:44,320
Speaker 1: Jacon the Smith on Instagram and Instagram only that's j

1014
00:57:44,520 --> 00:57:46,800
Speaker 1: C O N t H E S M I T

1015
00:57:47,160 --> 00:57:50,840
Speaker 1: H and um. I don't. I don't really have that

1016
00:57:50,920 --> 00:57:54,200
Speaker 1: much content that I follow, but I do like this

1017
00:57:54,400 --> 00:57:57,200
Speaker 1: photographer out of New York who I'm sure many of

1018
00:57:57,200 --> 00:58:00,640
Speaker 1: the Sight Gang is already following because he's literally got

1019
00:58:00,640 --> 00:58:03,800
Speaker 1: a million followers. He goes by New York Nico online

1020
00:58:03,800 --> 00:58:07,560
Speaker 1: on Instagram. He's just got a lot of wholesome, just

1021
00:58:08,000 --> 00:58:10,840
Speaker 1: slice of life takes from New York where he's just

1022
00:58:10,880 --> 00:58:13,920
Speaker 1: aiming his camera at interesting people. He calls himself the

1023
00:58:13,960 --> 00:58:17,200
Speaker 1: unofficial Talent Scout of New York City. Just vignettes of

1024
00:58:17,400 --> 00:58:21,360
Speaker 1: beautiful people showing themselves to you and sharing their experience.

1025
00:58:21,360 --> 00:58:25,320
Speaker 1: So you can find New York Nico on Instagram. Oh right,

1026
00:58:26,000 --> 00:58:29,600
Speaker 1: you can find me on Twitter at Jack Underscore. Brian

1027
00:58:31,440 --> 00:58:35,920
Speaker 1: tweet I've been enjoying well. First of all, Emma Tolkien tweeted.

1028
00:58:36,080 --> 00:58:40,200
Speaker 1: Mark Strong is Stanley Tucci's warrior. I did I have

1029
00:58:40,240 --> 00:58:44,080
Speaker 1: been going through my life thinking Mark Strong was Stanley Tucci.

1030
00:58:44,160 --> 00:58:46,480
Speaker 1: Like I was just like, there goes Tucci again in

1031
00:58:46,480 --> 00:58:49,560
Speaker 1: another because oh you know what, Yeah, I didn't know

1032
00:58:49,640 --> 00:58:52,880
Speaker 1: this guy by name, but yeah, I can see it. Yeah,

1033
00:58:52,920 --> 00:58:55,160
Speaker 1: I thought that was they were the same. They just

1034
00:58:55,240 --> 00:59:00,240
Speaker 1: have the shape of the bald head, the glasses, the

1035
00:59:00,400 --> 00:59:07,000
Speaker 1: chin shape. Yeah. Yeah. And then Vaccoon on Twitter tweeted

1036
00:59:07,480 --> 00:59:12,920
Speaker 1: a picture of the part and Man of Steel twenty thirteen,

1037
00:59:13,000 --> 00:59:15,840
Speaker 1: ten year old movie. But at least this observation, I'll

1038
00:59:15,880 --> 00:59:18,600
Speaker 1: never get tired of people pointing this out. Kevin Costner

1039
00:59:18,800 --> 00:59:22,320
Speaker 1: plays Clark Kent's dad, and it is, I believe the

1040
00:59:22,360 --> 00:59:26,760
Speaker 1: midpoint of the movie, he just gets like devoured by

1041
00:59:26,800 --> 00:59:31,480
Speaker 1: a tornado that Superman like clearly could have saved him

1042
00:59:31,520 --> 00:59:34,880
Speaker 1: from if he was like willing to use his superpowers,

1043
00:59:34,920 --> 00:59:37,520
Speaker 1: but like doesn't because he wants to like stay in

1044
00:59:37,560 --> 00:59:41,680
Speaker 1: the closet as a superhero or like that's his dad's theory,

1045
00:59:41,720 --> 00:59:44,160
Speaker 1: because his dad's like, there's a tornado it's about to

1046
00:59:44,200 --> 00:59:48,000
Speaker 1: just like swallow him. Hole. It doesn't stop him. He

1047
00:59:48,120 --> 00:59:50,160
Speaker 1: puts up his hand in his like and so back

1048
00:59:50,240 --> 00:59:53,680
Speaker 1: when like tweeted a screen cap of that and said Clark, No,

1049
00:59:54,120 --> 00:59:57,240
Speaker 1: I deserve the cold embrace of the grave. Use your

1050
00:59:57,280 --> 01:00:01,320
Speaker 1: heightened senses to stand there and listen to reshred my body.

1051
01:00:01,800 --> 01:00:04,320
Speaker 1: Did you hear that one son? That was a fence post?

1052
01:00:04,440 --> 01:00:08,120
Speaker 1: It just went clear through my stomach and yeah, I

1053
01:00:08,160 --> 01:00:11,960
Speaker 1: don't know. Oh God got a loose. Superhero movies, got

1054
01:00:11,960 --> 01:00:15,080
Speaker 1: to love them well. Soon enough they will be replaced

1055
01:00:15,240 --> 01:00:20,280
Speaker 1: by branding the invention of Cool Ranch Derito's movies. Hell, yeah, multiple,

1056
01:00:20,360 --> 01:00:22,920
Speaker 1: they'll have multiple of those. It'll be like Armageddon and

1057
01:00:23,080 --> 01:00:28,840
Speaker 1: Deep Impact Flavor. Yeah, multiple Cool Ranch origin story movies

1058
01:00:28,840 --> 01:00:31,600
Speaker 1: coming out in the same month. Anyways. You can find

1059
01:00:31,760 --> 01:00:33,800
Speaker 1: me on Twitter at Jack underscorel Brian. You can find

1060
01:00:33,880 --> 01:00:36,360
Speaker 1: us on Twitter at daily Zeygeist. We're at the Daily

1061
01:00:36,440 --> 01:00:39,000
Speaker 1: Zegeist on Instagram. We have a Facebook fan page and

1062
01:00:39,000 --> 01:00:42,080
Speaker 1: a website daily zeygeist dot com where we post our

1063
01:00:42,120 --> 01:00:45,600
Speaker 1: episodes and our foot no link off to the information

1064
01:00:45,640 --> 01:00:47,920
Speaker 1: that we talked about in today is episode as well

1065
01:00:47,920 --> 01:00:50,640
Speaker 1: as a song that we think you might enjoy and

1066
01:00:50,840 --> 01:00:53,680
Speaker 1: super producer Justin Connor, what is a song that you

1067
01:00:53,720 --> 01:00:56,640
Speaker 1: think people might enjoy? I think I only have a

1068
01:00:56,640 --> 01:00:59,919
Speaker 1: few more times to recommend tracks as we have looted

1069
01:01:00,000 --> 01:01:02,080
Speaker 1: two Miles may pop his head up here one of

1070
01:01:02,120 --> 01:01:05,960
Speaker 1: these coming weeks. We don't know, So I'm not going

1071
01:01:06,040 --> 01:01:08,200
Speaker 1: to be here for Wednesday's recording either, so I kind

1072
01:01:08,200 --> 01:01:11,080
Speaker 1: of want to make these last few songs count. So

1073
01:01:11,240 --> 01:01:12,880
Speaker 1: this is one of my favorite songs I used to

1074
01:01:12,880 --> 01:01:15,560
Speaker 1: play when I was djaying a lot, and this song

1075
01:01:15,640 --> 01:01:18,480
Speaker 1: is an Italian trap song that I believe is about

1076
01:01:19,040 --> 01:01:23,440
Speaker 1: uh receiving toppy, as the kids might say. You know,

1077
01:01:23,760 --> 01:01:27,560
Speaker 1: google translate to get the okay. I've a friend who's

1078
01:01:27,600 --> 01:01:30,480
Speaker 1: Sicilian and heard the lyrics and she was like, what

1079
01:01:30,720 --> 01:01:32,960
Speaker 1: was it? And so you know it's it's about getting

1080
01:01:32,960 --> 01:01:35,680
Speaker 1: the old, the old moist mouth, I think, But I

1081
01:01:35,760 --> 01:01:38,560
Speaker 1: don't speak Italian, so I'm not sure. But if anyone

1082
01:01:39,840 --> 01:01:41,520
Speaker 1: it is, it is, I had to do it. Um.

1083
01:01:41,600 --> 01:01:44,160
Speaker 1: Anyone in the Zeit gang who does speak Italian, please

1084
01:01:44,160 --> 01:01:45,720
Speaker 1: give me a rundown to what this guy is saying

1085
01:01:45,760 --> 01:01:49,080
Speaker 1: because sounds freaky. Um. Also, if you have a sound system,

1086
01:01:49,200 --> 01:01:52,400
Speaker 1: I highly suggest calibrating everything to where it needs to

1087
01:01:52,440 --> 01:01:54,040
Speaker 1: be and letting this ship bank because it has a

1088
01:01:54,200 --> 01:01:57,480
Speaker 1: low deep end. Um. But this is super CALLI Frigida

1089
01:01:57,560 --> 01:01:59,680
Speaker 1: by the Clerk and Moodembi and you can find that

1090
01:01:59,760 --> 01:02:02,320
Speaker 1: song in the footnotes Footnotes. The Daily zet Guys is

1091
01:02:02,320 --> 01:02:04,880
Speaker 1: the production of iHeartRadio. From more podcasts from my heart Radio,

1092
01:02:04,960 --> 01:02:07,640
Speaker 1: visit the iHeartRadio app, Apple podcast, or wherever you listen

1093
01:02:07,680 --> 01:02:09,880
Speaker 1: to your favorite shows. That is going to do it

1094
01:02:09,960 --> 01:02:11,880
Speaker 1: for us this morning, back this afternoon to tell you

1095
01:02:12,000 --> 01:02:14,280
Speaker 1: what is trending and we will talk to you all

1096
01:02:14,320 --> 01:02:16,360
Speaker 1: then bye bye. Back to