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Speaker 1: Hello the Internet, and welcome to season two oh four,

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Speaker 1: episode one of Daily's. Like, guys, you know it's a

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Speaker 1: production of I Heart Radio. You also may know that

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Speaker 1: it's a podcast where you take a deep dive into

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Speaker 1: America's share consciousness. And of course, uh, if you if

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Speaker 1: you looked at a freaking if you look at your

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Speaker 1: freaking phone today, you know that it's Monday, October four,

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Speaker 1: National Taco Day for those who celebrate National Cinnamon Day

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Speaker 1: for those of us who, and also National Vodka Day.

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Speaker 1: What a combo? What a ben diagram? It's a party.

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Speaker 1: October fourth is is a party. My name is Jack O'Brien,

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Speaker 1: a k podcast. Come Home Hungry. I know she left

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Speaker 1: me pizza by the stairs, the toppings. Let me know

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Speaker 1: she cares say it ain't so there's tomato picking it off,

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Speaker 1: not in my home, and its courtesy a CHRISTI a

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Speaker 1: Gucci slain because it is October, of course, very spooky,

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

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Speaker 1: co host Mr Miles Ground Soaking time, my friends jump

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Speaker 1: on the bed. If we don't pop, it's all right,

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Speaker 1: soaking time. Turn all of the lights off over every

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Speaker 1: more main boying girl we need Jopp being friends to

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Speaker 1: help us bone. We need Jopp being friends to help

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Speaker 1: us bone. Okay, shout out to Hank Skippy over that

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Speaker 1: closing time. You heard the soaking anecdote and you turned

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Speaker 1: it into gold. So thank you Hank on the discord. Yeah, yeah,

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Speaker 1: what a song, um? And our our was it? In

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Speaker 1: reference to mine? Was a reference to the fact that

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Speaker 1: I don't like tomatoes on pizza much much less exciting

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Speaker 1: than yeah, soaking, the Mormon sex hack, Yeah, Mormon sex hack,

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Speaker 1: the tomato thing or yeah, the tomato thing. Okay, just check.

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Speaker 1: Yeah that was awesome. Uh. Well, that voice you here

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Speaker 1: is joining us on our third seat. He is a

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Speaker 1: hilarious comedian, actor, writer, podcast host. He's one of the

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Speaker 1: hosts of the Very Funny Show podcast but Outside. He

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Speaker 1: was named two thousand fifteen number one comedian on the

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Speaker 1: Top one thousand Comedians. Listen, please welcome the hilarious and

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Speaker 1: talented Andrew Mashawn. Thank you, thank you for having me

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Speaker 1: and my song about me is happy. But no, I

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Speaker 1: don't know. I did not know it was a musical podcast. Um,

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Speaker 1: so I don't have a song prepared, but just know that, Um,

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Speaker 1: if I had one prepared. It would have been awesome.

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Speaker 1: It's very clear to everyone listening that you have song

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Speaker 1: in her heart. Yeah. Last time you're on, you're like

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Speaker 1: you said the same thing, Like I didn't know it

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Speaker 1: was a song. I would have came with one. I

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Speaker 1: really don let us down this second go around. Wow,

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Speaker 1: I should have known. You know. Well, it's been a

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Speaker 1: normal couple of years. So yeah, problem November nine, what's

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Speaker 1: going on? Dude? Pick up left off? I well, I

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Speaker 1: haven't really been paying attention. Um, so I don't know.

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Speaker 1: Everything's been good for me, cool cool, um, Yeah, No,

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Speaker 1: it's good to be back. Thank you for having me.

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Speaker 1: I'm gonna I'm gonna come clean here and let you

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Speaker 1: know that I have forgotten that we met, forgot that

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Speaker 1: you were on the show, and then become a fan

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Speaker 1: of yours through podcasts but outside since thank you and

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Speaker 1: without realizing that you have been on this show. So

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Speaker 1: that's perfect. Podcast outside is very very funny. Yeah, before

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Speaker 1: you came on, he's like, you know, Andrew like, well, yeah, man,

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Speaker 1: it's very funny. I was like, father, you need hey.

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Speaker 1: I honestly, actually that makes you're a fan of my show,

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Speaker 1: Like that makes it more pure. You know, yeah, that

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Speaker 1: was just a pure enjoyment outside of the fact that

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Speaker 1: you and I are close friends. Yes, exactly. There it

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Speaker 1: is great. What's good with you, man, other than you're

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Speaker 1: back from Coast three, I'm doing well. Yeah, how was that?

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Speaker 1: It was great? You know, and it was really nice,

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Speaker 1: and honestly, like, looking back, I'm very glad that I

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Speaker 1: did go in November in tween nineteen because I tried

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Speaker 1: to go out of the country once a year and

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Speaker 1: it was a really great trip. And then, you know,

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Speaker 1: if I had known that I wouldn't be able to

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Speaker 1: leave the country for a long time after that, Like

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Speaker 1: it was, it was perfect timing to be able to go.

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Speaker 1: Great country, highly recommend it, easy place to travel, and

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Speaker 1: everyone's very nice, very beautiful. I love to see it.

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Speaker 1: And I'm actually going to leave the country again for

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Speaker 1: the first time since then in November, so timing there.

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Speaker 1: I'm going to Coast it and I'm just going I'm

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Speaker 1: going to I'm going to Iceland actually, which I've never

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Speaker 1: been to. WHOA, what's the weather like at that time

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Speaker 1: of year? Super? I think it's kind of cold year round.

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Speaker 1: Apparently it's just always cold, but that is definitely when

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Speaker 1: winter is in the swing of it's like in the

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Speaker 1: full swing of winter, so there might be a little

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Speaker 1: more snow, but I think it's just universally cold and

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Speaker 1: frigid there. But it is like you know, it'll get

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Speaker 1: dark like at like four or five pm when we

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Speaker 1: first got there, and then by the time we leave

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Speaker 1: it'll get dark at like three pm. Like it really

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Speaker 1: drastically over the course of November. Yeah, but there's like

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Speaker 1: boiling hot water just like shooting up out of the

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Speaker 1: earth there all that. Yeah. Yeah, man, I want to

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Speaker 1: go there so bad. I studied a lot of Viking

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Speaker 1: history in college and like Iceland's eyes, and I'm like,

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Speaker 1: I got it. I need to see it because a

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Speaker 1: lot of the people that like ended up habitating that

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Speaker 1: place where like fleeing the Vikings. They're like, let's get

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Speaker 1: over here. Did the Vikings ever go there? And like, yeah,

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Speaker 1: I'm sure they did. I mean I as far as

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Speaker 1: I can remember, what was that fourteen years ago? Yeah,

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Speaker 1: I mean that's like those are the remnants that you

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Speaker 1: hold on your like, I know they were fleeing the

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Speaker 1: other Vikangs and then they have a great soccer team

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Speaker 1: that overperforms. Well, I'll let you know how it is. Yeah,

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Speaker 1: it seems like a nice, easy place to travel. And

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Speaker 1: also it's like nineties six percent vaccinated kind of thing,

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Speaker 1: and you have to be vaccinated go in. So as

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Speaker 1: far as like, it feels like a safe first trip

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Speaker 1: after this whole thing. All right, Andrew, we're going to

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Speaker 1: get to know you a little bit better in a moment. First,

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Speaker 1: we're gonna tell our listeners a couple of the things

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Speaker 1: we're talking about. There is a COVID pill that might

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Speaker 1: even help some anti baxtors out there, because yeah, because

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Speaker 1: you actually, yeah, it's a it's a pill that gives

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Speaker 1: you COVID. It didn't take the mystery out of it,

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Speaker 1: you know, Yeah, just knock it, knock it out, you know. Yeah,

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Speaker 1: because whatever someone says, where'd you get it? Like you

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Speaker 1: don't know what to say, But now you're like, oh,

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Speaker 1: I got it from this pill. I got it from

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Speaker 1: the pill pill. Yeah, you gotta just roll the dice.

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Speaker 1: And it's because I mean, honestly, if you haven't had it,

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Speaker 1: you're you're always wondering like, how would I do if

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Speaker 1: I got it? So, um, No, this is a pill

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Speaker 1: that you can take after you get COVID though, which

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Speaker 1: you know, we we've heard a lot of cases of

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Speaker 1: people who are antivactors until they're like, you know, heading

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Speaker 1: into the hospital from COVID symptoms, and then they're like please,

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Speaker 1: and then it's too late, but we got a pill there,

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Speaker 1: Like will you take this FDA approved treatment? Right? How

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Speaker 1: about this one? Why don't you just tell me what

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Speaker 1: you want to do. We're gonna talk about Texas, a

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Speaker 1: couple of Texas stories. We are going to talk about

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Speaker 1: the murder rate. We're gonna talk about the folders jingle.

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Speaker 1: We're going to talk about squid Game. Andrew, you have

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Speaker 1: you watched squid Game? Yes? I have seen two episodes

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Speaker 1: of squid Game. Okay, we're I've seen episode seven and

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Speaker 1: episode nine. But the character development needs to work. Yeah,

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Speaker 1: it needs work. Yeah, I don't know what the hell

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Speaker 1: they're thinking. Uh. And well, we'll talk about a couple

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Speaker 1: other stories. All of that plenty more. The first, Andrew,

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Speaker 1: we do like task our guests, what is something from

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Speaker 1: your search history? This is gonna be boring because I

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Speaker 1: already addressed it. But the last thing I really searched

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Speaker 1: was about the active volcano in Iceland. Because I'm trying

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Speaker 1: to see that while I'm there. There's been a volcano.

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Speaker 1: It's been active for a few months and it's like

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Speaker 1: the first time in decades and it's been active, and

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Speaker 1: apparently you can just go and see lava pouring out

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Speaker 1: of it. So why are you referring to it in

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Speaker 1: such general terms? Why don't you just flawlessly pronounced the

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Speaker 1: name of very very good question. Well, if you must know,

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Speaker 1: I searched active volcano in Iceland right now, I did

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Speaker 1: not search the name. And it is a lot of

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Speaker 1: sas and k's and vs. Is it the same one

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Speaker 1: that like shut down air traffic in Europe a few

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Speaker 1: years I don't think so. I think it's all another one.

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Speaker 1: I mean the country, the country is full of them,

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Speaker 1: but this one in particular is like just been very

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Speaker 1: consistent all year, just like tons of lava and you

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Speaker 1: can hear written see it and it looks cool. Yeah,

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Speaker 1: that's what I'm gonna try to see that. It's interesting.

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Speaker 1: Like That's the one detail that is stuck with me

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Speaker 1: about any time I've read about Iceland is that like

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Speaker 1: there's just hot like just a natural supply of hot water.

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Speaker 1: That is, like they have all these like hot water baths,

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Speaker 1: public baths and then like hot spring. Yeah, I love it.

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Speaker 1: That's my favorite. But like that's how that where they

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Speaker 1: get electricity is also from just like the naturally heated water.

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Speaker 1: And yeah, so it's it's a very steampunk country. Well, yeah,

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Speaker 1: what is something you think is overrated? My thing that

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Speaker 1: I think is overrated right now is COVID nineteen. Hey,

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Speaker 1: everyone's talking about it, and everyone's freaking obsessed with the thing.

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Speaker 1: And it's been two years of COVID this and COVID that,

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Speaker 1: and it's such a small little guy, but everyone's talking

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Speaker 1: about it, even this labs. Yeah, even the slabs are

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Speaker 1: talking about it. Who isn't talking about it? No? But

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Speaker 1: that is truly like, at this point in this journey,

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Speaker 1: it's like, that's the thing that I'm just like. I mean,

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Speaker 1: obviously it's sad and people are dying in our society

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Speaker 1: is being torn apart on ideological grounds, but it's also

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Speaker 1: just I'm sick of it, right, It's yes, And I mean,

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Speaker 1: I know you have to talk about it, and you

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Speaker 1: other stuff to talk about, but it's like, for the

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Speaker 1: sake of our conversations, hopefully we'll get over this thing soon. Yeah,

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Speaker 1: It's funny because the art piece you're sitting in front

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Speaker 1: of kind of looks like a COVID. Yeah, and I

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Speaker 1: had this art piece before COVID. But no, I mean,

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Speaker 1: it is just like, it's so interesting to think of,

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Speaker 1: like when we first started hearing rumors of this thing,

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Speaker 1: and you know, early nineteen or sorry, to think that

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Speaker 1: like two years later or whatever, we would still be

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Speaker 1: talking about it and obsessed with it's pretty nuts. Yeah. Yeah,

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Speaker 1: there's not really anything to say. Also, but that is

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Speaker 1: also part of the conversation now. I feel like every

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Speaker 1: Zoom meeting I have starts with the somebody saying, how's

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Speaker 1: it going, and then people being like, you can't even

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Speaker 1: ask that anymore. I'm like, yes, this has all been prescripted.

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Speaker 1: I wonder if culturally there's ever been anything that has

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Speaker 1: been this like long lasting of a story, you know, right.

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Speaker 1: I don't mean to be a down it's not. I

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Speaker 1: mean it's interesting. This pills sounds interesting that, Yeah, I

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Speaker 1: guess so. But I was every conversation like war stuff,

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Speaker 1: I think it was. But yeah, I think it is

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Speaker 1: like that, Like that is the closest we've come to

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Speaker 1: having just a story that was affecting everybody around the globe,

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Speaker 1: just not on global warming. Yeah, that would be that

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Speaker 1: would be one if anybody talked about it. That's opposite,

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Speaker 1: right oh boy, Yeah yeah, I guess Hitler, Hitler and

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Speaker 1: COVID they kind of take the kick. Yeah, yeah, there's uh,

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Speaker 1: I guess uh. In America, nine eleven was a real uh,

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Speaker 1: it was a real doozy if you were eleven the

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Speaker 1: year later. I don't think so, you know what I mean,

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Speaker 1: Like this is like this is like one of those

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Speaker 1: things like to your point, every day there will have

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Speaker 1: to be an utterance of it. Yeah, but yeah that's

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Speaker 1: because yeah, I wonder at what point it will become

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Speaker 1: like when it does end, like what the time spend

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Speaker 1: is on like COVID nineteen discussion, you know, like is

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Speaker 1: it gonna be like no one's gonna talk about an

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Speaker 1: a year later? It's like actually kind of kitchy to

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Speaker 1: bring it up and like funny, like what's the what's

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Speaker 1: the timeline of exists on the social spectrum? Right? Well,

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Speaker 1: I'm more curious to if like if it affects things

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Speaker 1: like saying how are you you know, like to your point,

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Speaker 1: Jack of how like on a zoom called people like

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Speaker 1: I don't even what's the even the point of saying it? Like,

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Speaker 1: we all know she's very grim, so hey things are

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Speaker 1: grim side from that thing. And I don't know if

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Speaker 1: we come up with a new way of being like

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Speaker 1: yeah you all right, all right, like and it's just

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Speaker 1: not how are you just more of like an assumed

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Speaker 1: yeah you good? All right? Yeah? Will it ever be

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Speaker 1: okay again? For people with just like boundless positive energy,

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Speaker 1: like the CEOs of the world, to just be like

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Speaker 1: I am great, I'm amazing, thank you for asking. Like

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Speaker 1: I feel for them, you know, they's them out there. Yeah,

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Speaker 1: I worry about them. Uh, Andrew, what is something you

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Speaker 1: think is underrated? Um, taking a nice hot shower. You know.

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Speaker 1: I feel like there's been all this discussion recently about

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Speaker 1: these celebs who don't shower, and then during the pandemic,

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Speaker 1: I feel like people kind of use it as a

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Speaker 1: point of pride of like, I haven't taken a shower

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Speaker 1: in ten days quarantine much so I kind of think

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Speaker 1: that And I like to take a shower every day.

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Speaker 1: It's how I start my day. It kind of feels

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Speaker 1: like the moment that day I started, So for me,

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Speaker 1: I think that is underrated right now, And you're not

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Speaker 1: saying this because there are flies visible in my zoom box.

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Speaker 1: You don't know. I'm not referencing anything I can smell

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Speaker 1: over zoom problems. I don't know, Like, how did you

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Speaker 1: but Jack, I'm curious, how did you actually get stink

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Speaker 1: lines to appear? Yeah? That that is kind of the

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Speaker 1: experiment was could I get the stink lines to stink

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Speaker 1: lines scientifically possible? And the lines that actually show the

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Speaker 1: flies motion as it circles around. Yeah, it's like an

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Speaker 1: old Matt Graining comic strip. There's something like almost like

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Speaker 1: I I can't fully wake up unless I've had a shower.

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Speaker 1: I feel like I also feel like, as connected as

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Speaker 1: we are to our phones and the internet, like shower

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Speaker 1: is one of the only times you can get away. Man,

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Speaker 1: I gotta gotta got the wall. They're just text and

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Speaker 1: built in. Just how hot a shower do you all go?

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Speaker 1: Because I know people like I used to. I realized

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Speaker 1: when I was younger, I had no palette or skin

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Speaker 1: tolerance level for like a really like hot shower. Like

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Speaker 1: I remember the difference between when like my mom would

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Speaker 1: have like what that was, like, oh my god, are

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Speaker 1: you burning yourself? And then what I would get into

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Speaker 1: where people like this is cold and now like I'm

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Speaker 1: damn near burning my fucking skin off when I go. Yeah,

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Speaker 1: I like to push it to the limit. I think

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Speaker 1: you do. Okay, Yeah, I think I like to go

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Speaker 1: where it's uncomfortable and then go one notch down right right, Yeah,

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Speaker 1: like you gotta find right, you find that point and

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Speaker 1: then we we bit back. Yeah. Yeah, I'm baby at

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Speaker 1: like Lukewarm show, Luke I'm a baby okay, baby, I mean,

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Speaker 1: I just my my wife likes it way hotter than

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Speaker 1: I do, and so that's the only thing I really

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Speaker 1: have to compare it to. And but I've I've heard

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Speaker 1: other people say that their wives are like take their

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Speaker 1: showers hotter than they do, and maybe that's just because

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Speaker 1: I'm friends with just a bunch of babies. No, that's

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Speaker 1: an old Seinfeld joke. He's like, what's up with wives

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Speaker 1: and their showers? Hot? Hot shower? Yeah, it's totally it's

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Speaker 1: I I feel like that is one of those personal

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Speaker 1: like what my five year old like his bathwater super

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Speaker 1: duper hot and my three year old does not, and

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Speaker 1: that makes things very difficult, right. Yeah, we did put

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Speaker 1: like a dividing wall in the bathfower. Like here's the

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Speaker 1: hot zone and baby zone. He can't make the baby

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Speaker 1: like take the hot shower. So it's just it just

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Speaker 1: sucks for the five. You know what. I actually had

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Speaker 1: an invention as a kid that I still have never

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Speaker 1: seen it incorporated, because I used to take bath when

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Speaker 1: I was a kid, and the idea was, maybe you

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Speaker 1: guys have seen this before, a bath with a spigott

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Speaker 1: on both sides the bath and you're trying to warm

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Speaker 1: it up and you get on one side, yeah, and

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Speaker 1: you gotta like move it over. How come wish people

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Speaker 1: don't have two spig Just just an idea. I used

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Speaker 1: to use a like h like this toy hockey stick

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Speaker 1: that I had just like a cauldron. Yeah, it was

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Speaker 1: like like there's like this dumb fucking to I remember

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Speaker 1: the early nineties where it was like an electronic like

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Speaker 1: indoor hover puck. It was like basically a like a

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Speaker 1: hover craft, but in the shape of like a puck

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Speaker 1: with like that was all foam and you turned it

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Speaker 1: on and like the fan would sort of like lifted

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Speaker 1: off the ground. And to play with it, you had

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Speaker 1: these dumb plastic sticks that became my bathster or like

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Speaker 1: I was making bath booze and ship. Remember my mom

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Speaker 1: was like, what are you doing. I'm like, it's just

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Speaker 1: it's too hot on this side, trying to even the

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Speaker 1: ship up. Yeah, I thought the hockey thing, the like

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Speaker 1: hockey game you were describing, had something to do with

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Speaker 1: the bath that was so confused. Are you guys fans

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Speaker 1: with that? Are you as fans of showers that like

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Speaker 1: hit you from all the different angles? Have you ever

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Speaker 1: been in one of those where it's like the spot

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Speaker 1: in Vegas? I thought that's that's the best example I

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Speaker 1: can think of. Yeah, it's just hard. Yeah, like you

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Speaker 1: can't like lather up though with that on, you know

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Speaker 1: what I mean? Immediately like I need some soap to

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Speaker 1: stay on momentarily. Yeah, you gotta find safety in the corner.

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Speaker 1: But the for me, the like whenever there's something like

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Speaker 1: something like the rain fall ahead like directly over my skull,

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Speaker 1: whenever I've been in a thing, I'm like, this is it? Yeah,

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Speaker 1: being like you know six ft, you know six one,

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Speaker 1: you know a lot of them. They just kind of

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Speaker 1: blast you, like right on top of your forehead. So

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Speaker 1: I appreciate something. I'm right there with you, brother, I'm

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Speaker 1: six one to exactly. It's like, yeah, alright, well let's

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

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Speaker 1: we're back, and there's a pill that just had a

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Speaker 1: great trial. Now they nailed the trial. Good job, merk.

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Speaker 1: We're always pulling for those guys. So basically, when taken

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Speaker 1: by people who already have COVID, it cut the number

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Speaker 1: of deaths in half, I believe, and hospitalizations and hospitalizations.

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Speaker 1: So it's kind of a new that's a game changer. Yeah,

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Speaker 1: get a new changer in the game. Was how I

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Speaker 1: was going to put it, precisely like that changer in

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Speaker 1: the game. Yeah, but yeah, I mean, that's that's great

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Speaker 1: news for all the people who refused to take there's

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Speaker 1: like a look, if I'm gonna put my little conspiracy

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Speaker 1: had on a little bit, right, there's this whole All

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Speaker 1: of the mainstream news coverage of this has been like,

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Speaker 1: it's a game changer. This is especially going to be

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Speaker 1: great for it's a changer of the game changer or

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Speaker 1: in the game, you know, developing nations that have very

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Speaker 1: low vaccination rates. This could help offset the damage there.

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Speaker 1: But part of me is just like we'll hold on though,

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Speaker 1: because the thing that we were talking about was how

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Speaker 1: we were going to get the vaccine as widely available

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Speaker 1: as possible. And the big thing was a lot of

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Speaker 1: pharmaceutical companies like, well, we don't you know, it's proprietor

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Speaker 1: we don't not sharing anything because or this like really

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Speaker 1: tired argument that is saying ship like, well, you know,

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Speaker 1: some of the countries lack the facilities to develop these

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Speaker 1: medications and things like that, when they're completely ignoring the

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Speaker 1: fact that there are many medications that people consume that

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Speaker 1: are manufactured in these other countries, And so I'm like,

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Speaker 1: why don't It almost feels like they can give up

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Speaker 1: on the vaccine thing to then just do the well,

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Speaker 1: if everybody has COVID, then everybody's gonna need this pill,

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Speaker 1: maybe multiple times because of whatever. And I'm like, I

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Speaker 1: wish we still had the same emphasis on the back

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Speaker 1: the nation part of it too, but that would just

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Speaker 1: me be a little salty at the pharmaceutical companies for

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Speaker 1: not doing the right thing, which is to make the

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Speaker 1: fucking vaccine is widely available. Right, It's basically we've we've

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Speaker 1: you know, luckily come up with this miracle. But then

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Speaker 1: they're kind of like, all right, we have that miracle.

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Speaker 1: But here's something that's kind of okay too, and it's like, no,

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Speaker 1: get the miracle out there as many people as possible. Yeah,

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Speaker 1: but imagine there's like you're probably at actually like maybe

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Speaker 1: once and if you need a booster, okay in another time.

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Speaker 1: But dude, if you get COVID a bunch of times,

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Speaker 1: you're gonna take this bunch of times. We gotta take

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Speaker 1: eight pills a day as well. Yeah, But I mean again,

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Speaker 1: at the same time, that's not to discount the fact

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Speaker 1: that it will absolutely save lives because of the nature

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Speaker 1: of vaccination rates that I think for the longest time,

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Speaker 1: people were like, I think thinking like when will there

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Speaker 1: actually be a treatment for COVID that isn't going to

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Speaker 1: the hospital and just sort of addressing your symptoms and

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Speaker 1: these other interventions. Right, That's what seems crazy about this

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Speaker 1: pill is that you can take it at home, which

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Speaker 1: is the first time that there's been anything available for that,

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Speaker 1: right exactly. Well, I mean, we're not gonna talk about

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Speaker 1: iver maac and put bleach inside your skin. The race

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Speaker 1: to develop these treatments is definitely speeding up. Has progress

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Speaker 1: stalled on, like getting these vaccines to other countries. Just

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Speaker 1: look at the state of Africa right now. You know,

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Speaker 1: in the Congo there's I think eighties six million people

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Speaker 1: and it's like a point o or oh oh four

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Speaker 1: percent vaccination rate. It's like the lowest in the world.

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Speaker 1: It's like almost like it's like as if three white

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Speaker 1: people like traveled there and they change the vaccination rates

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Speaker 1: or something. But there's a huge lack of vaccination in Africa,

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Speaker 1: and that's why a lot of people have said, let

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Speaker 1: us do this ship here, like we can, we can

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Speaker 1: create stuff on the continent, or you with a global

404
00:22:48,240 --> 00:22:51,680
Speaker 1: effort helped create like more robust facilities to do that

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Speaker 1: and speed this up very quickly. And you know when

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Speaker 1: you look at those kind of like when you look

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Speaker 1: at that situation, I'm like, well, I like at some

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Speaker 1: point where this vaccine has to be as widely available

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Speaker 1: as possible, because this is going to be something that,

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Speaker 1: as most epidemiologist say, like, we're gonna have to deal

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Speaker 1: with this for a while. So to just cut to

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Speaker 1: the treatment part, I feel like it's very lucrative for

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Speaker 1: pharmaceutical companies and is helpful, but it's but like there

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Speaker 1: was also a dire gap in vaccination rates in you know,

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Speaker 1: Africa and the rest of the developing world. Yeah, and

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Speaker 1: it feels very much like our sort of centrist mainstream

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Speaker 1: media too be be like, oh, they made a pill,

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Speaker 1: you can just they made a product that people can buy,

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Speaker 1: so we're good. You know, that'll do it. But it

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Speaker 1: does provide a relief because I think for the longest time,

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Speaker 1: it almost just felt like, well, if you get COVID,

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Speaker 1: you thug it out and hope that your body is

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Speaker 1: you know, your their constitution is robust enough to handle it,

424
00:23:50,280 --> 00:23:52,719
Speaker 1: or you end up in a hospital and to know

425
00:23:52,880 --> 00:23:56,040
Speaker 1: what they're interesting is like I feel like that mentality

426
00:23:56,160 --> 00:23:58,919
Speaker 1: also leads to low vaccination rates, like the fact that

427
00:23:58,960 --> 00:24:02,280
Speaker 1: the is like whatever your constitution is, Like there's a

428
00:24:02,280 --> 00:24:04,359
Speaker 1: certain number of Macha people who are like, I'm strong,

429
00:24:04,440 --> 00:24:06,720
Speaker 1: Actually I don't need the vaccine. So it's actually worked

430
00:24:06,720 --> 00:24:11,439
Speaker 1: in our detriment that mentality. Yeah, there was just a

431
00:24:11,520 --> 00:24:15,960
Speaker 1: story about how bad Like, I feel like we got

432
00:24:15,960 --> 00:24:19,720
Speaker 1: a lot of news when COVID ripped through cities, and

433
00:24:20,000 --> 00:24:22,080
Speaker 1: I I kind of had a sense that it had

434
00:24:22,119 --> 00:24:27,199
Speaker 1: been bad for rural communities just based on the like

435
00:24:27,320 --> 00:24:30,040
Speaker 1: politics of the people there. But there's a new report

436
00:24:30,119 --> 00:24:33,440
Speaker 1: that's just saying that it's really really because of the

437
00:24:33,760 --> 00:24:38,400
Speaker 1: fact that it is rural areas have poor health, unvaccinated

438
00:24:38,600 --> 00:24:42,359
Speaker 1: people more likely to live in poverty. Medical facilities are

439
00:24:42,359 --> 00:24:46,199
Speaker 1: often inadequate or overcrowded. It's just been the head of

440
00:24:46,520 --> 00:24:51,000
Speaker 1: the National Rural Health Association said, we turned rural communities

441
00:24:51,040 --> 00:24:56,480
Speaker 1: into kill boxes, which is yeah, but I mean that's

442
00:24:57,440 --> 00:24:59,720
Speaker 1: it makes sense when you kind of if you spent

443
00:24:59,800 --> 00:25:02,359
Speaker 1: time him in rural community. There's also like a vibe

444
00:25:02,359 --> 00:25:04,680
Speaker 1: like I visit my mom like earlier this year after

445
00:25:04,720 --> 00:25:07,320
Speaker 1: I got vaccinated and stuff, and they're even just talking

446
00:25:07,320 --> 00:25:08,720
Speaker 1: to her over the last couple of years. Like, there's

447
00:25:08,720 --> 00:25:11,720
Speaker 1: definitely a vibe in smaller places where they're kind of like, no,

448
00:25:11,920 --> 00:25:14,760
Speaker 1: we're we're out here, we're chill like you here was good,

449
00:25:14,920 --> 00:25:17,720
Speaker 1: No one looks sick like, and it's just like and

450
00:25:17,760 --> 00:25:19,479
Speaker 1: then they're they're all at their guard down and then

451
00:25:19,480 --> 00:25:21,600
Speaker 1: it all kind of spread into their communities. We die

452
00:25:21,640 --> 00:25:26,359
Speaker 1: politely in our own homes, yeah, quietly. Well, Uh, let's

453
00:25:26,359 --> 00:25:30,280
Speaker 1: talk Texas first. There's a there's a Quinnipiac pole that

454
00:25:30,400 --> 00:25:34,960
Speaker 1: is saying that Greg Abbott's currently not very popular, like

455
00:25:35,280 --> 00:25:39,919
Speaker 1: the majority of the voters in Texas don't think he

456
00:25:39,960 --> 00:25:44,920
Speaker 1: deserves another term, which would be great news if they

457
00:25:45,200 --> 00:25:48,880
Speaker 1: really liked one of the people who's running against him.

458
00:25:48,920 --> 00:25:51,800
Speaker 1: But we've got thirty three who think Beato would make

459
00:25:51,840 --> 00:25:58,080
Speaker 1: a good governor. And then the real news here think

460
00:25:58,160 --> 00:26:02,800
Speaker 1: Matthew McConaughey would make a good governor. Maybe are you

461
00:26:02,800 --> 00:26:12,879
Speaker 1: doing your warm up acting ship? Yeah, I mean twenty

462
00:26:13,119 --> 00:26:18,679
Speaker 1: five percent think McConaughey. Yes, because os it on the

463
00:26:18,720 --> 00:26:22,240
Speaker 1: pole or was it a right? Yeah, because there was

464
00:26:22,280 --> 00:26:24,960
Speaker 1: like murmurs and stuff and they said, look, what do

465
00:26:25,000 --> 00:26:31,320
Speaker 1: you think that's alarming? Not because I'm you know, like

466
00:26:31,520 --> 00:26:34,439
Speaker 1: the fact that I gets comparatively be like yeah, I

467
00:26:34,440 --> 00:26:36,679
Speaker 1: mean at this point, I'm like, yeah, probably Matthew McConaughey

468
00:26:36,720 --> 00:26:39,760
Speaker 1: probably would do a better job than than Greg Abbott.

469
00:26:39,960 --> 00:26:43,320
Speaker 1: But still to be like, I think Matthew McConaughey would

470
00:26:43,359 --> 00:26:46,760
Speaker 1: be good, that is a little worrying given the trajectory

471
00:26:46,800 --> 00:26:48,680
Speaker 1: of like or the evolution of the kinds of people

472
00:26:48,720 --> 00:26:51,760
Speaker 1: that are running for office, where you know, maybe that

473
00:26:51,800 --> 00:26:54,919
Speaker 1: does happen. But I think with as it relates to

474
00:26:55,119 --> 00:26:57,879
Speaker 1: Greg Abbott, it's just clear that all of his policies

475
00:26:58,000 --> 00:27:01,879
Speaker 1: are just wildly um popular, like even with Republicans, like

476
00:27:01,960 --> 00:27:05,399
Speaker 1: sevent of Texans were like, you know, this abbot like

477
00:27:05,440 --> 00:27:09,119
Speaker 1: abortion thing is like absurd, Like it's absolutely this is

478
00:27:09,200 --> 00:27:13,520
Speaker 1: unfathomable because most people, like you know, I think the

479
00:27:13,640 --> 00:27:16,960
Speaker 1: one the most humane thing that pro life people take

480
00:27:17,040 --> 00:27:19,240
Speaker 1: as it relates to an abortion is like in cases

481
00:27:19,280 --> 00:27:22,760
Speaker 1: of like rape or incest, they'll say, well, yeah, there

482
00:27:22,760 --> 00:27:26,440
Speaker 1: there are exceptions where it's fairs, sense and and and etcetera, etcetera.

483
00:27:26,960 --> 00:27:29,280
Speaker 1: And this has proven, I think, I guess, to be

484
00:27:29,359 --> 00:27:33,320
Speaker 1: unpopular with most people. Now what happens with that, I

485
00:27:33,320 --> 00:27:36,040
Speaker 1: don't know, because at the same time, they have very

486
00:27:36,119 --> 00:27:39,800
Speaker 1: aggressive voter suppression hitting the books in that state. So

487
00:27:40,480 --> 00:27:43,959
Speaker 1: he might not need much more than a barely fifty

488
00:27:44,000 --> 00:27:47,960
Speaker 1: percent to win or something the election next year, I believe.

489
00:27:48,000 --> 00:27:56,040
Speaker 1: So we don't actually know that. Okay, no, no, you

490
00:27:56,200 --> 00:27:58,359
Speaker 1: just it's a mid term. It's part of the mid terms.

491
00:27:58,400 --> 00:28:01,440
Speaker 1: And you had a good alert from Matthew McConaughey. He

492
00:28:01,480 --> 00:28:05,359
Speaker 1: saw the news story started whoa governor of Texas? That

493
00:28:05,400 --> 00:28:09,280
Speaker 1: guy's bad? Huh, maybe got a chance here. First thing

494
00:28:09,280 --> 00:28:11,640
Speaker 1: I look for is are there new picks that come

495
00:28:11,720 --> 00:28:14,640
Speaker 1: with this pick? With this news Break And I mean, look,

496
00:28:14,640 --> 00:28:16,640
Speaker 1: I'm looking at my linking in my driveway right now,

497
00:28:16,680 --> 00:28:20,360
Speaker 1: and I bought that thing because of his commercial. I'm

498
00:28:20,400 --> 00:28:24,240
Speaker 1: on board. He like, it's not just like murmurs. Behind

499
00:28:24,240 --> 00:28:28,160
Speaker 1: the scenes. Matthew McConaughey has said he's measuring a run

500
00:28:28,240 --> 00:28:32,520
Speaker 1: for governor. So he's openly speculating that he's he's going

501
00:28:32,560 --> 00:28:36,720
Speaker 1: to run. Just find someone. I mean, look, I I

502
00:28:36,840 --> 00:28:40,320
Speaker 1: have it. Betto tried to beat Ted Cruz. It didn't

503
00:28:40,320 --> 00:28:43,720
Speaker 1: work out for him. I'm curious. I don't know, given

504
00:28:43,760 --> 00:28:46,640
Speaker 1: the fact that only thirty three of these people pulled

505
00:28:46,720 --> 00:28:49,520
Speaker 1: were interested in him, what that actually means to mount

506
00:28:49,560 --> 00:28:53,200
Speaker 1: a serious challenge against Greg Abbott. So I'm curious if

507
00:28:53,240 --> 00:28:58,600
Speaker 1: they somehow find someone that actually threads that needle of

508
00:28:58,640 --> 00:29:03,200
Speaker 1: like being a Democrat, who you know, may have what

509
00:29:03,280 --> 00:29:05,920
Speaker 1: it takes to you know, get a plurality of votes.

510
00:29:06,000 --> 00:29:12,000
Speaker 1: But I know it's impossible in Texas. Maybe it is McConaughey. Yeah,

511
00:29:13,080 --> 00:29:15,280
Speaker 1: what what would that be? What the debate look like?

512
00:29:16,520 --> 00:29:20,040
Speaker 1: Probably be the most entertaining debate of all time? Yeah?

513
00:29:20,080 --> 00:29:22,320
Speaker 1: Like what ver like? And does he just use like

514
00:29:22,440 --> 00:29:27,120
Speaker 1: mcconaugheyisms up there? And he were like fuck yeah. He's like,

515
00:29:27,160 --> 00:29:32,800
Speaker 1: the budget is a flat circle, and you're like what okay,

516
00:29:33,320 --> 00:29:36,560
Speaker 1: and he does everything is a flat circle. That's all.

517
00:29:36,600 --> 00:29:40,480
Speaker 1: It's all campaign. It's about flat circles, Governor McConaughey, what

518
00:29:40,520 --> 00:29:44,640
Speaker 1: about climate, Well, the planet is actually a flat circle.

519
00:29:44,920 --> 00:29:51,200
Speaker 1: There was like, okay, I call it the firmament. No no, no, no, no, no,

520
00:29:51,280 --> 00:29:58,920
Speaker 1: never mind. The moon's a spotlight, all right, party at

521
00:29:58,960 --> 00:30:02,960
Speaker 1: the moon tower. That was actually a tower that the

522
00:30:03,000 --> 00:30:07,160
Speaker 1: moon was on. You know, Matthew McConaughey seems like a

523
00:30:07,200 --> 00:30:10,680
Speaker 1: nice guy though, right am I fallone for it? Yeah?

524
00:30:10,920 --> 00:30:14,400
Speaker 1: Probably this seems cool. I mean, I feel like there

525
00:30:14,480 --> 00:30:17,480
Speaker 1: was something that came out like recently where his politics

526
00:30:17,560 --> 00:30:20,360
Speaker 1: were clearly not in the right place, Like where I

527
00:30:20,440 --> 00:30:22,200
Speaker 1: was like, of course, you're just like a guy who

528
00:30:22,320 --> 00:30:25,040
Speaker 1: spent time in Hollywood, so you've collected a lot of

529
00:30:25,120 --> 00:30:29,240
Speaker 1: like like democratic opinions. But whether or not you're like

530
00:30:29,360 --> 00:30:32,040
Speaker 1: living that or believing that, I think it's a completely

531
00:30:32,080 --> 00:30:36,200
Speaker 1: other discussion because dude, it's Matthew McConney Like that's not

532
00:30:36,720 --> 00:30:39,720
Speaker 1: so I'm saying, come on, now, we don't need people

533
00:30:39,760 --> 00:30:42,080
Speaker 1: like that. We need like people who have like activist

534
00:30:42,160 --> 00:30:45,760
Speaker 1: backgrounds or like coming from the communities that actually need help.

535
00:30:45,960 --> 00:30:48,400
Speaker 1: Like that's how we're going to find things. But for

536
00:30:48,480 --> 00:30:54,800
Speaker 1: a laugh, fuck it? Why not? Sure? Fine? The Houston Chronicle,

537
00:30:54,880 --> 00:30:58,080
Speaker 1: by the way, has the headline from last week time

538
00:30:58,120 --> 00:31:01,280
Speaker 1: as a flat circle. Matthew mcconne, hey still measuring. They

539
00:31:01,280 --> 00:31:03,680
Speaker 1: didn't even like find a way to like cleverly put

540
00:31:03,720 --> 00:31:06,080
Speaker 1: it into the thing. They just said, he's measuring a

541
00:31:06,160 --> 00:31:11,160
Speaker 1: run times of flat circle. Remember that. Remember that. Like

542
00:31:11,320 --> 00:31:15,880
Speaker 1: sometimes I as as silly as it is, I am

543
00:31:15,920 --> 00:31:20,640
Speaker 1: surprised that more celebrities haven't had more success running for

544
00:31:20,720 --> 00:31:25,720
Speaker 1: politics just because of how much I mean, I guess

545
00:31:26,000 --> 00:31:29,160
Speaker 1: Ronald Reagan and Donald Trump about like among the most

546
00:31:29,280 --> 00:31:33,280
Speaker 1: powerful politicians of our lifetime, and like they were both

547
00:31:33,360 --> 00:31:36,720
Speaker 1: just people who kind of hacked the system and more

548
00:31:36,800 --> 00:31:41,640
Speaker 1: like I look like a president and I'm doing the

549
00:31:41,760 --> 00:31:45,040
Speaker 1: thing that makes you. Yeah, there's a question if you

550
00:31:45,080 --> 00:31:48,440
Speaker 1: could have any a list celebrity be the president, you

551
00:31:48,440 --> 00:31:51,280
Speaker 1: think they would actually do a good job. Who who

552
00:31:51,280 --> 00:31:57,160
Speaker 1: would be your pick? It's a great question. Yeah. I

553
00:31:57,160 --> 00:32:04,800
Speaker 1: haven't thought of it either, but I think they're fiery. Yeah, Okay, gang,

554
00:32:05,560 --> 00:32:09,040
Speaker 1: he knows, he knows, he knows. Food is important. So, like,

555
00:32:09,200 --> 00:32:11,720
Speaker 1: I feel like he would really address issues like hunger

556
00:32:12,360 --> 00:32:17,080
Speaker 1: and access to and he's got a great record as

557
00:32:17,120 --> 00:32:19,720
Speaker 1: it relates to lgbt Q rights and like doing like

558
00:32:19,840 --> 00:32:23,560
Speaker 1: mass weddings for same sex couples. I also feel like

559
00:32:23,600 --> 00:32:26,120
Speaker 1: being in a restaurant is inherently working with the lower

560
00:32:26,160 --> 00:32:28,360
Speaker 1: class and like people who have been to away jobs,

561
00:32:28,360 --> 00:32:30,400
Speaker 1: and I feel like to understand apply to the common

562
00:32:30,440 --> 00:32:32,440
Speaker 1: worker in a big way, right, although that he might

563
00:32:32,480 --> 00:32:34,480
Speaker 1: take their restaurant tours you and he's like, what's wrong

564
00:32:34,520 --> 00:32:40,480
Speaker 1: with tips? Guy? Come on, but she's done the most.

565
00:32:40,640 --> 00:32:45,840
Speaker 1: He's like raised so much money during the pandemic for restaurants. Yeah,

566
00:32:46,120 --> 00:32:49,560
Speaker 1: so I think I think that's the right answer. And

567
00:32:49,640 --> 00:32:52,760
Speaker 1: he he's he's like kind of every man enough to

568
00:32:52,840 --> 00:32:56,400
Speaker 1: appeal to the demographics of If it's someone like Tom Cruise,

569
00:32:56,400 --> 00:32:58,760
Speaker 1: people are just gonna be like, no, he's a rich celebrity,

570
00:32:58,840 --> 00:33:01,080
Speaker 1: like he's in Hollywood and guys a little more of

571
00:33:01,160 --> 00:33:03,720
Speaker 1: the people. Yeah that, but guys a little more of

572
00:33:03,760 --> 00:33:06,120
Speaker 1: the people. The guy could go to like the reddest

573
00:33:06,200 --> 00:33:10,240
Speaker 1: parts of the state. Exactly. That's exactly I mean he does.

574
00:33:10,760 --> 00:33:16,840
Speaker 1: He's wearing the uniform. Yeah, and as you know, the

575
00:33:16,880 --> 00:33:19,560
Speaker 1: assignment was an A list celebrity, And I mean you

576
00:33:19,640 --> 00:33:23,720
Speaker 1: picked an A plus list celebrity, right, Yeah, what are

577
00:33:23,720 --> 00:33:25,560
Speaker 1: you trying to say, Jack, You're being flipping here that

578
00:33:26,840 --> 00:33:29,600
Speaker 1: no okay good. I'm just saying, like when you were

579
00:33:29,640 --> 00:33:32,680
Speaker 1: at Conde Nast and like they did the Vanity Fair

580
00:33:32,720 --> 00:33:36,080
Speaker 1: post Oscars party, wasn't he like the first first name

581
00:33:36,120 --> 00:33:39,360
Speaker 1: on the list? We come on, Jack, I told you

582
00:33:39,400 --> 00:33:41,880
Speaker 1: that in secret we had to kick him out. We

583
00:33:42,000 --> 00:33:44,400
Speaker 1: kicked him out, We said, get out of here. We

584
00:33:44,400 --> 00:33:46,880
Speaker 1: don't know who you are. Make way for Vin Diesel,

585
00:33:46,920 --> 00:33:52,480
Speaker 1: who's drunk. Well, speaking of Texas, Alex Jones just lost

586
00:33:52,640 --> 00:33:57,080
Speaker 1: in court and the kind of a big, big lee. Yeah,

587
00:33:57,200 --> 00:34:00,120
Speaker 1: like what was this the so this is the the

588
00:34:00,160 --> 00:34:04,720
Speaker 1: case where he was harassing the families of Sandy Hook shooting,

589
00:34:05,400 --> 00:34:10,000
Speaker 1: the whole crisis actors, claiming that they were crisis actors

590
00:34:10,040 --> 00:34:13,280
Speaker 1: and they had their lives of ruined after they already

591
00:34:13,320 --> 00:34:17,200
Speaker 1: had their lives of ruined exactly with harassment campaigns and

592
00:34:17,200 --> 00:34:18,880
Speaker 1: people be like, you're just trying to get their guns

593
00:34:18,880 --> 00:34:21,560
Speaker 1: taken away because that's what Alex told me. And so

594
00:34:21,800 --> 00:34:25,240
Speaker 1: many families sued him for defamation in Connecticut and also Texas,

595
00:34:25,800 --> 00:34:28,160
Speaker 1: and you know, he's done a lot of things, like

596
00:34:28,320 --> 00:34:30,360
Speaker 1: in his depositions he came around's like no, like I

597
00:34:30,400 --> 00:34:33,560
Speaker 1: actually believe it, like that that's not true. And and

598
00:34:33,560 --> 00:34:35,239
Speaker 1: we've heard him also say things to the effect of

599
00:34:35,280 --> 00:34:38,720
Speaker 1: like I'm like more of a performance artist. And also

600
00:34:38,800 --> 00:34:40,840
Speaker 1: like in his own words, he said that he was

601
00:34:40,880 --> 00:34:44,040
Speaker 1: suffering like a form of psychosis, which led to him

602
00:34:44,080 --> 00:34:47,200
Speaker 1: saying that but that was amongst so many different excuses

603
00:34:47,239 --> 00:34:48,920
Speaker 1: that he gave out to try and be like just

604
00:34:49,080 --> 00:34:52,719
Speaker 1: leave me alone. Well, a judge just ruled against him

605
00:34:52,719 --> 00:34:56,640
Speaker 1: in full wars with like a pretty scathing ruling, which

606
00:34:56,640 --> 00:34:59,920
Speaker 1: is essentially saying like he won, he lost by defall,

607
00:35:00,560 --> 00:35:03,040
Speaker 1: which is like the worst kind of way you can lose,

608
00:35:03,040 --> 00:35:04,879
Speaker 1: like where they're just like not the judge like, I'm

609
00:35:04,920 --> 00:35:08,360
Speaker 1: over this. You're not cooperating, you've been abusing the discovery process,

610
00:35:08,680 --> 00:35:10,600
Speaker 1: You've not been following any of the rules. In fact,

611
00:35:10,640 --> 00:35:13,319
Speaker 1: you've gone back on so many things you said that

612
00:35:13,480 --> 00:35:17,480
Speaker 1: that's it. I'm like, this is you've as as they say, yeah,

613
00:35:17,800 --> 00:35:20,040
Speaker 1: it seems hard to it seems hard to make the

614
00:35:20,120 --> 00:35:23,080
Speaker 1: argument that you were like suffering from psychosis, that you

615
00:35:23,120 --> 00:35:26,799
Speaker 1: are no longer suffering from and that you temporary, It

616
00:35:26,880 --> 00:35:29,600
Speaker 1: was temporary, and I was going through a lot, and

617
00:35:29,600 --> 00:35:33,200
Speaker 1: I don't know what that actually the medical deft the

618
00:35:33,239 --> 00:35:36,680
Speaker 1: show in that same persona like, how how does he

619
00:35:37,880 --> 00:35:41,000
Speaker 1: just look look, look, my honor. That that's I don't

620
00:35:41,000 --> 00:35:43,080
Speaker 1: know why I'm on trial here, okay, And that's I

621
00:35:43,080 --> 00:35:45,480
Speaker 1: thought that would be enough to be given some form

622
00:35:45,520 --> 00:35:48,520
Speaker 1: of sympathy for what's going on. But yeah, so now

623
00:35:48,760 --> 00:35:50,839
Speaker 1: a jury is going to decide, like how much he's

624
00:35:50,840 --> 00:35:54,279
Speaker 1: going to owe the plaintiffs, And I can imagine it

625
00:35:54,280 --> 00:35:57,719
Speaker 1: would be significant, you'd think, But unless it's like a

626
00:35:57,760 --> 00:36:01,279
Speaker 1: lot of Info Wars fans in that jury, the you'd

627
00:36:01,280 --> 00:36:04,480
Speaker 1: imagine that they would be like, yeah, that's untold suffering

628
00:36:04,640 --> 00:36:08,600
Speaker 1: that has been compounded by this person's wise, it's kind

629
00:36:08,600 --> 00:36:11,879
Speaker 1: of the worst thing anyone's done. And pulp like it's

630
00:36:11,920 --> 00:36:15,959
Speaker 1: so it's just so bad perspective. It's it's a real

631
00:36:16,280 --> 00:36:20,680
Speaker 1: like hard one to justify. I'm I'm just even confused

632
00:36:20,680 --> 00:36:24,720
Speaker 1: as to how uh, and he's made sort of mounting

633
00:36:24,719 --> 00:36:27,759
Speaker 1: any defense while still doing the same show with the

634
00:36:27,800 --> 00:36:31,759
Speaker 1: same points of perspectives that are causing this massive harm. Well,

635
00:36:31,800 --> 00:36:34,560
Speaker 1: and it's so funny, like all these claims that these

636
00:36:34,680 --> 00:36:38,600
Speaker 1: you know, these SMAs school shootings are crisis actors and

637
00:36:38,600 --> 00:36:40,960
Speaker 1: it's all employees kind of like, well, there's been a

638
00:36:41,000 --> 00:36:44,799
Speaker 1: ton of them and zero gun control legislation, so it's

639
00:36:44,840 --> 00:36:48,000
Speaker 1: not like it's even effective if they are, if they

640
00:36:48,040 --> 00:36:50,640
Speaker 1: really are employs, it's like, well, they're not working, so

641
00:36:50,880 --> 00:36:54,000
Speaker 1: calm down. Yeah, And I think, but that's that's the

642
00:36:54,040 --> 00:36:58,000
Speaker 1: thing about these sort of like thought killing conspiratory cliches

643
00:36:58,040 --> 00:37:00,480
Speaker 1: that people like that throw out. It's just like, yeah,

644
00:37:00,640 --> 00:37:03,880
Speaker 1: faking it to go after the Second Amendment? Is it? Actually?

645
00:37:04,960 --> 00:37:08,279
Speaker 1: But I don't care because that's that's the thing that

646
00:37:08,400 --> 00:37:11,279
Speaker 1: activates my outrage. Of course it's not working, because we

647
00:37:11,320 --> 00:37:17,040
Speaker 1: pointed out there were crisis are I wanted to talk about.

648
00:37:17,160 --> 00:37:20,120
Speaker 1: So there there's a stat that I'm seeing a lot

649
00:37:20,160 --> 00:37:24,719
Speaker 1: of places recently about how murders were up in murders

650
00:37:24,840 --> 00:37:28,520
Speaker 1: seemed to be trending upwards. One the New York Times

651
00:37:28,560 --> 00:37:33,399
Speaker 1: just published an article about it last week, and they

652
00:37:33,400 --> 00:37:38,960
Speaker 1: spend multiple paragraphs like suggesting that the Black Lives Matter

653
00:37:39,080 --> 00:37:45,160
Speaker 1: protests are in somewhere or another like responsible. And so

654
00:37:45,239 --> 00:37:47,480
Speaker 1: I wanted to just put this theory out here that

655
00:37:47,520 --> 00:37:50,960
Speaker 1: they don't really mention in any other than to say that,

656
00:37:51,000 --> 00:37:55,680
Speaker 1: like healthcare was under stress. But there are a lot

657
00:37:55,760 --> 00:38:00,880
Speaker 1: of articles before the pandemic even about how the drop

658
00:38:00,920 --> 00:38:02,960
Speaker 1: in the murder rate has a lot to do with

659
00:38:03,080 --> 00:38:08,959
Speaker 1: the fact that these like emergency medical care systems got

660
00:38:09,000 --> 00:38:13,200
Speaker 1: way way better at like helping people helping shooting victims,

661
00:38:13,640 --> 00:38:18,320
Speaker 1: and so the drop in murders you're seeing is actually

662
00:38:18,400 --> 00:38:24,920
Speaker 1: just more people surviving the shootings essentially, And when you

663
00:38:25,480 --> 00:38:29,600
Speaker 1: when you look at that, it seems like it at

664
00:38:29,600 --> 00:38:33,319
Speaker 1: the very beginning of the pandemic, when the like you know,

665
00:38:33,400 --> 00:38:36,759
Speaker 1: hospitals were being stretched to the breaking point. That was

666
00:38:36,920 --> 00:38:39,160
Speaker 1: kind of one of the first thoughts I had, is like, wow,

667
00:38:39,239 --> 00:38:43,960
Speaker 1: so many people must be dying that weren't dying before.

668
00:38:44,440 --> 00:38:48,560
Speaker 1: But like that isn't really being raised as an explanation,

669
00:38:49,160 --> 00:38:53,120
Speaker 1: and I think it's so. Penn Medicine, which is like

670
00:38:53,160 --> 00:38:57,280
Speaker 1: one of the best hospitals for you know, helping shooting victims,

671
00:38:57,800 --> 00:39:03,160
Speaker 1: just released a study in Money about how like they

672
00:39:03,239 --> 00:39:07,040
Speaker 1: basically did a they tried to count the number of

673
00:39:07,520 --> 00:39:11,839
Speaker 1: shooting injuries, like including people who don't die, and they

674
00:39:11,840 --> 00:39:15,400
Speaker 1: were basically saying, like that number is not counted like,

675
00:39:15,880 --> 00:39:21,839
Speaker 1: which is bonkers to me, but it seems to kind

676
00:39:21,840 --> 00:39:25,000
Speaker 1: of be part of the whole thing we've seen where like,

677
00:39:25,320 --> 00:39:29,439
Speaker 1: you know, shootings by police officers are not counted. Gun

678
00:39:29,480 --> 00:39:31,960
Speaker 1: deaths were not counted for a long time, even though

679
00:39:32,000 --> 00:39:34,319
Speaker 1: the CDC was fighting for them to be counted, because

680
00:39:34,360 --> 00:39:38,560
Speaker 1: the gun lobby was more powerful. And so it's just,

681
00:39:39,480 --> 00:39:41,520
Speaker 1: you know, the things that are happening that I think

682
00:39:41,560 --> 00:39:44,640
Speaker 1: are most responsible for this is one, like, there's just

683
00:39:44,719 --> 00:39:48,560
Speaker 1: not the the health care system is being stretched to

684
00:39:48,600 --> 00:39:50,560
Speaker 1: the breaking point, and the health care system was a

685
00:39:50,560 --> 00:39:55,000
Speaker 1: big reason, a big thing keeping the murder rate from

686
00:39:55,080 --> 00:39:59,680
Speaker 1: being incredibly like much higher before. And then also there's

687
00:39:59,760 --> 00:40:05,640
Speaker 1: just you know, the media and the gun companies are like,

688
00:40:06,280 --> 00:40:09,400
Speaker 1: you know, conspiring to drive up gun sales, and so

689
00:40:09,480 --> 00:40:11,920
Speaker 1: there's way way more guns now on the street than

690
00:40:11,960 --> 00:40:15,120
Speaker 1: there ever has been. Those would seem to be like

691
00:40:15,200 --> 00:40:18,759
Speaker 1: the two main contributing factors. And yet this New York

692
00:40:18,760 --> 00:40:22,640
Speaker 1: Times article doesn't mention, uh, it mentions the fact that

693
00:40:22,640 --> 00:40:25,200
Speaker 1: they're more guns, but it doesn't like really connected to

694
00:40:25,280 --> 00:40:28,200
Speaker 1: the like, doesn't it doesn't really make a compelling case.

695
00:40:28,280 --> 00:40:31,319
Speaker 1: I guess they're just like that's one of the things Yeah,

696
00:40:31,320 --> 00:40:33,160
Speaker 1: I think it's really interesting too, and the stuff you

697
00:40:33,200 --> 00:40:36,839
Speaker 1: wrote here, Like it's interesting that it's difficult to get

698
00:40:36,880 --> 00:40:40,200
Speaker 1: statistics on how many gun injuries there are versus gun

699
00:40:40,239 --> 00:40:42,320
Speaker 1: deaths because the gun lobby just like doesn't want that

700
00:40:42,360 --> 00:40:44,120
Speaker 1: information to get out there of like how many people

701
00:40:44,120 --> 00:40:47,440
Speaker 1: are injured by guns annually. Yeah, I think that's really fascinating.

702
00:40:48,040 --> 00:40:51,439
Speaker 1: And yeah, speaking of like under reporting, is that new

703
00:40:52,160 --> 00:40:54,759
Speaker 1: sort of study that came out that saying police are

704
00:40:54,840 --> 00:40:59,560
Speaker 1: under reporting fatal shootings too that are being properly attributed

705
00:40:59,600 --> 00:41:03,280
Speaker 1: to the police, And that found that like, yeah, black

706
00:41:03,320 --> 00:41:05,920
Speaker 1: people were three and a half times more likely to

707
00:41:06,000 --> 00:41:09,319
Speaker 1: die by police gunfire than than any other demographic or

708
00:41:09,360 --> 00:41:11,800
Speaker 1: what actually than white people. And so yeah, there's like

709
00:41:11,840 --> 00:41:15,680
Speaker 1: a lot of there's so many different sort of explanations

710
00:41:15,760 --> 00:41:19,000
Speaker 1: for things, and it's there's been a few that was

711
00:41:19,040 --> 00:41:21,480
Speaker 1: connecting this study to say, like, what it looks like

712
00:41:21,520 --> 00:41:25,319
Speaker 1: we need more cops exactly. So what this looks like

713
00:41:25,440 --> 00:41:28,640
Speaker 1: If this is the case and Black Lives Matter protests

714
00:41:28,680 --> 00:41:32,960
Speaker 1: and uprisings made police feel bad, then god, I mean,

715
00:41:32,960 --> 00:41:35,640
Speaker 1: maybe we just need more cops to brutalize people who

716
00:41:35,640 --> 00:41:38,000
Speaker 1: are just out there in the streets and that would

717
00:41:38,000 --> 00:41:42,160
Speaker 1: solve it. But that doesn't seem like a coherent solutioned

718
00:41:42,480 --> 00:41:48,040
Speaker 1: the the populations where there are where they're seeing the

719
00:41:48,080 --> 00:41:54,360
Speaker 1: biggest spike in murder rates are in isolated, marginalized communities

720
00:41:54,640 --> 00:41:57,760
Speaker 1: where you know, and they're part of the American healthcare

721
00:41:57,840 --> 00:42:00,560
Speaker 1: system where you are deemed not worthy of life saving

722
00:42:00,560 --> 00:42:02,720
Speaker 1: medical care if you don't have a full time job.

723
00:42:03,280 --> 00:42:06,160
Speaker 1: And like the problem, they're going to say, the problem

724
00:42:06,239 --> 00:42:11,560
Speaker 1: is too few police. It's just fucking inexcusable, Like especially

725
00:42:11,880 --> 00:42:14,719
Speaker 1: during this last year, which is like proven more than

726
00:42:14,760 --> 00:42:18,120
Speaker 1: any other time, Like how interconnected everything is, Like the

727
00:42:18,160 --> 00:42:20,400
Speaker 1: fact that there are more shooting deaths because of COVID

728
00:42:20,440 --> 00:42:22,600
Speaker 1: because they can't get care because of the like it's

729
00:42:22,640 --> 00:42:25,520
Speaker 1: all so thoroughly connected that just to say there were

730
00:42:25,520 --> 00:42:27,480
Speaker 1: some protests a year ago and that's why more people

731
00:42:27,520 --> 00:42:31,319
Speaker 1: are dying, it's just like not accurate, rather than you know,

732
00:42:31,440 --> 00:42:34,680
Speaker 1: zooming out far enough to say, what's the root cause

733
00:42:34,719 --> 00:42:40,280
Speaker 1: of crying? How do we stop the criminals? More police,

734
00:42:40,880 --> 00:42:44,160
Speaker 1: rather than oh, we actually need to provide opportunity for

735
00:42:44,200 --> 00:42:49,040
Speaker 1: more people left your own devices, your recourse in trying

736
00:42:49,040 --> 00:42:53,080
Speaker 1: to survive maybe extra legal activity yea. And then to

737
00:42:53,200 --> 00:42:55,640
Speaker 1: feel safe, and then to feel safe doing that, you

738
00:42:55,719 --> 00:42:57,600
Speaker 1: have to have a gun, and and it just all

739
00:42:57,680 --> 00:43:00,400
Speaker 1: is compounded. Yeah, And I just just want to go

740
00:43:00,400 --> 00:43:02,640
Speaker 1: on the record of saying, like, for the past decades,

741
00:43:02,680 --> 00:43:05,680
Speaker 1: my murder rate has stayed at zero every year. Yeah,

742
00:43:06,160 --> 00:43:09,680
Speaker 1: for decades and decades. That's your guarantee. Yeah, guarantee. I'm

743
00:43:09,680 --> 00:43:11,640
Speaker 1: at zero and that's not changing any time soon. So

744
00:43:11,680 --> 00:43:13,760
Speaker 1: I just want to get that out there. Could you imagine,

745
00:43:13,840 --> 00:43:21,280
Speaker 1: like Andrew a bunch of people at what the fuck?

746
00:43:22,160 --> 00:43:25,040
Speaker 1: Our fact checker actually came back and said, that's not accurate?

747
00:43:27,600 --> 00:43:34,680
Speaker 1: Were you laughing? Self defense is different self defense with

748
00:43:34,680 --> 00:43:42,640
Speaker 1: with wearing a Michael Myers mask, seasonal self defense Halloween. Like,

749
00:43:42,920 --> 00:43:44,960
Speaker 1: so all the stuff that we just talked about gets

750
00:43:44,960 --> 00:43:49,040
Speaker 1: either less than a paragraph or no mention. And then

751
00:43:49,440 --> 00:43:53,239
Speaker 1: the This New York Times article has three paragraphs that

752
00:43:53,280 --> 00:43:56,160
Speaker 1: begin with a sentence. The protests that erupted after the

753
00:43:56,160 --> 00:43:59,120
Speaker 1: police killing of George Floyd in Minneapolis were also an

754
00:43:59,120 --> 00:44:04,359
Speaker 1: important fact during although experts differ about why, and then

755
00:44:04,400 --> 00:44:09,640
Speaker 1: they basically say the two possible explanations are that the police,

756
00:44:10,000 --> 00:44:14,480
Speaker 1: being under scrutiny and demoralized, pulled back from some aspects

757
00:44:14,480 --> 00:44:20,320
Speaker 1: of crime prevention. And then there's also the explanation others

758
00:44:20,320 --> 00:44:23,760
Speaker 1: put the emphasis on the public, suggesting that diminished respect

759
00:44:23,880 --> 00:44:26,319
Speaker 1: for the police prompted more people to try and take

760
00:44:26,320 --> 00:44:28,680
Speaker 1: the law into their own hands. What do you a

761
00:44:28,800 --> 00:44:32,600
Speaker 1: fucking principle from an eighties You fucking believe that this

762
00:44:32,640 --> 00:44:35,239
Speaker 1: is in the New York Times, Like there, dude, there

763
00:44:35,239 --> 00:44:38,239
Speaker 1: are something's up over there. They're fucking up, like the

764
00:44:38,400 --> 00:44:41,080
Speaker 1: suck up worse and worse every day. I don't think

765
00:44:41,120 --> 00:44:43,080
Speaker 1: I think this has been the way it is, Like

766
00:44:43,160 --> 00:44:46,239
Speaker 1: I think this is just all part of that sort

767
00:44:46,280 --> 00:44:50,520
Speaker 1: of central like mainstream media narrative that like, you know,

768
00:44:50,840 --> 00:44:53,879
Speaker 1: with respect the police and fucking right. But I guess

769
00:44:53,880 --> 00:44:56,720
Speaker 1: it's because it's like even other places like well maybe

770
00:44:56,719 --> 00:44:59,200
Speaker 1: we actually can be a little more nuanced and like

771
00:44:59,320 --> 00:45:01,960
Speaker 1: talk to there are sources of information to give up

772
00:45:02,040 --> 00:45:05,160
Speaker 1: better understanding. Where it's like, I think they're just probably

773
00:45:05,160 --> 00:45:07,160
Speaker 1: just so entrenched in their way of doing things that

774
00:45:07,160 --> 00:45:09,640
Speaker 1: they're not even really willing to challenge like the perspective

775
00:45:09,640 --> 00:45:12,520
Speaker 1: of the paper itself to say like is there, like

776
00:45:13,040 --> 00:45:15,239
Speaker 1: is there something where we can have a less like

777
00:45:15,360 --> 00:45:18,000
Speaker 1: pro law enforcement bend to it that isn't in an

778
00:45:18,040 --> 00:45:21,560
Speaker 1: op ed, like that's actually the reporting of the paper

779
00:45:21,600 --> 00:45:23,920
Speaker 1: and I don't know what you know, Yeah, and this

780
00:45:24,000 --> 00:45:26,640
Speaker 1: isn't or not that this is the reporting on the

781
00:45:26,680 --> 00:45:29,680
Speaker 1: murder rate being up. And yeah, I mean so much

782
00:45:29,680 --> 00:45:34,040
Speaker 1: of the mainstream media is like that sort of relationship

783
00:45:34,239 --> 00:45:37,960
Speaker 1: between the media and the police, where like they go

784
00:45:38,040 --> 00:45:41,680
Speaker 1: to the police for the official account of what happened,

785
00:45:41,880 --> 00:45:47,120
Speaker 1: and that that includes like statistical explanation. Yeah, hey, chief,

786
00:45:47,120 --> 00:45:50,200
Speaker 1: what can you tell us? Well, if these BLM protests

787
00:45:50,280 --> 00:45:53,440
Speaker 1: didn't happen many, there probably wouldn't be as many murders. Great,

788
00:45:53,480 --> 00:45:56,960
Speaker 1: thank you, I'll print that exactly, Like, don't you're not

789
00:45:57,160 --> 00:46:00,440
Speaker 1: gonna ask many anything? Okay, suck it. Maybe if they

790
00:46:00,440 --> 00:46:05,120
Speaker 1: didn't hurt our feelings. Basically, our feelings are hurt and

791
00:46:05,200 --> 00:46:07,719
Speaker 1: we do not like the black lives. I'm sorry, Chief,

792
00:46:07,719 --> 00:46:11,480
Speaker 1: did you say feelings? Uh? No, one, no further questions

793
00:46:11,480 --> 00:46:16,000
Speaker 1: at this time. I'm gonna go into my Amazon booth.

794
00:46:16,520 --> 00:46:18,759
Speaker 1: All right, let's take a quick break and we'll be

795
00:46:18,880 --> 00:46:32,440
Speaker 1: right back and we're back. All right, let's talk folders

796
00:46:32,640 --> 00:46:35,799
Speaker 1: real quick, and then we're gonna talk about a quick game. Yeah. Well, look,

797
00:46:36,080 --> 00:46:40,440
Speaker 1: the folders thing, right, if if I asked, y'all, do

798
00:46:40,520 --> 00:46:44,880
Speaker 1: you know do you know a song called Real Snowy Morning?

799
00:46:45,840 --> 00:46:48,000
Speaker 1: You're probably like, what the funk are you talking about? Well,

800
00:46:48,040 --> 00:46:52,319
Speaker 1: that is the name of the Folgers theme song. That

801
00:46:52,760 --> 00:46:54,600
Speaker 1: pretty much I'm gonna say, what what do you think

802
00:46:54,600 --> 00:46:57,440
Speaker 1: the cut off is? People thirty enough probably like if

803
00:46:57,480 --> 00:46:59,400
Speaker 1: you yelled it at him, they would know the best

804
00:46:59,520 --> 00:47:07,799
Speaker 1: part awaken up this folders in morning. Yeah, it's like

805
00:47:09,960 --> 00:47:12,640
Speaker 1: or they just were like, I'm an artist because they

806
00:47:12,680 --> 00:47:15,279
Speaker 1: think just the first commercial there was snow in the

807
00:47:15,280 --> 00:47:17,520
Speaker 1: background or something. I think there was like, well there

808
00:47:17,600 --> 00:47:20,000
Speaker 1: used to be like like there were more lyrics, you know,

809
00:47:20,120 --> 00:47:22,560
Speaker 1: like that just that was like sort of describing like

810
00:47:22,640 --> 00:47:25,360
Speaker 1: a scene where it wasn't just like there were lyrics

811
00:47:25,400 --> 00:47:27,520
Speaker 1: that preceded the best part of waking up as folders

812
00:47:27,520 --> 00:47:30,120
Speaker 1: in your cup. But anyway, that's a track called real

813
00:47:30,160 --> 00:47:34,640
Speaker 1: Snowy Morning. And what's very interesting is the like the

814
00:47:34,719 --> 00:47:39,440
Speaker 1: performers rights to this jingle was up for auction last week,

815
00:47:39,800 --> 00:47:42,359
Speaker 1: where essentially like you could buy their cut of their

816
00:47:42,400 --> 00:47:45,920
Speaker 1: performance rights to the jingle, so whenever it's played, if

817
00:47:45,960 --> 00:47:48,480
Speaker 1: you own them now, you would get cut in on

818
00:47:48,560 --> 00:47:52,480
Speaker 1: those residual payments, and the bidding of this started off

819
00:47:52,560 --> 00:47:55,439
Speaker 1: for at sixty three thousan dollars. They said, you can

820
00:47:55,480 --> 00:47:57,800
Speaker 1: own a part portion of the rights to this jingle.

821
00:47:58,160 --> 00:48:01,560
Speaker 1: It ended up going for I was in five dollars.

822
00:48:02,000 --> 00:48:04,799
Speaker 1: And the way this works is every time this ship

823
00:48:04,840 --> 00:48:07,960
Speaker 1: ariz on television with that song playing, they're gonna get

824
00:48:07,960 --> 00:48:11,279
Speaker 1: a cut. So far, in the last year, this thing

825
00:48:11,280 --> 00:48:15,880
Speaker 1: has paid out eleven thousand, seven seven dollars in like royalties. Now,

826
00:48:16,239 --> 00:48:19,920
Speaker 1: was that all from folders, Yeah, because it's that that

827
00:48:20,080 --> 00:48:22,840
Speaker 1: song it's tied. Yeah. Yeah, and they still do like

828
00:48:22,880 --> 00:48:25,799
Speaker 1: come they you know, they modernize it, but that that

829
00:48:25,880 --> 00:48:29,120
Speaker 1: little ditty typically a sonic tag. It's still in a

830
00:48:29,160 --> 00:48:31,920
Speaker 1: lot of their marketing stuff. But um, a lot of

831
00:48:31,960 --> 00:48:35,080
Speaker 1: people are noticing that, like the in the last like

832
00:48:35,120 --> 00:48:37,760
Speaker 1: they said, it's made about twenty dollars in the last

833
00:48:38,400 --> 00:48:43,000
Speaker 1: maybe ten years, and this actually like they only the

834
00:48:43,080 --> 00:48:45,680
Speaker 1: only really started making money again in the last two years.

835
00:48:45,680 --> 00:48:48,919
Speaker 1: So it's like also if folgers win another way, and

836
00:48:49,040 --> 00:48:52,040
Speaker 1: you know Amigos starts doing the fucking you're fucked, bro,

837
00:48:52,239 --> 00:48:54,480
Speaker 1: because if they don't use that sh anymore, then you

838
00:48:54,600 --> 00:48:59,239
Speaker 1: just have a slim shred of this commercial. Have you

839
00:48:59,239 --> 00:49:02,600
Speaker 1: guys seen the uh folder's commercial with the brother and

840
00:49:02,680 --> 00:49:06,239
Speaker 1: sister coming home? Yeah, Like I really want to suck

841
00:49:06,320 --> 00:49:11,879
Speaker 1: each other like so bad. It's like you're the president. Yeah,

842
00:49:12,040 --> 00:49:14,759
Speaker 1: you're my president. There's a lot of you know, there

843
00:49:14,800 --> 00:49:16,560
Speaker 1: was a piece that was written like a few years

844
00:49:16,600 --> 00:49:19,759
Speaker 1: ago where they did a fucking deep dive into that

845
00:49:19,840 --> 00:49:24,319
Speaker 1: commercial to try and talk to everyone involved to be like, um,

846
00:49:24,600 --> 00:49:27,680
Speaker 1: what the funk was that? And everyone's like I don't understand.

847
00:49:27,760 --> 00:49:29,200
Speaker 1: Like a lot of them are like, you guys are

848
00:49:29,200 --> 00:49:33,399
Speaker 1: fucking perverted. Like there's nothing aside from maybe those looks

849
00:49:33,440 --> 00:49:36,640
Speaker 1: that was making you think that, uh it was that sexual,

850
00:49:36,719 --> 00:49:40,239
Speaker 1: But I don't know the there was the way their

851
00:49:40,280 --> 00:49:42,600
Speaker 1: eyes light up at each other. Oh my god. Yeah,

852
00:49:42,920 --> 00:49:45,040
Speaker 1: have you seen it? Andrew? I haven't seen it, but

853
00:49:45,080 --> 00:49:47,120
Speaker 1: I do want to suck my sister, So I definitely

854
00:49:47,320 --> 00:49:51,359
Speaker 1: get the vibe. I for sure get the vibe. Let

855
00:49:51,360 --> 00:49:54,319
Speaker 1: me then, allow me to just play a little bit

856
00:49:54,360 --> 00:49:58,600
Speaker 1: of this, yeah, so people can understand and and look,

857
00:49:58,760 --> 00:50:02,839
Speaker 1: we we'll give you a running comment. All right, let's see.

858
00:50:02,840 --> 00:50:13,680
Speaker 1: You must have the wrong house. Yeah, I mean that

859
00:50:13,760 --> 00:50:17,120
Speaker 1: as flirty as hell, like he did. He's like, am

860
00:50:17,160 --> 00:50:23,040
Speaker 1: I at the wrong house. What they're in bed together? No,

861
00:50:23,160 --> 00:50:28,960
Speaker 1: that's why I'm a dad. That's the parents something far away, Okay, yeah,

862
00:50:29,040 --> 00:50:33,319
Speaker 1: I mean yeah, just he's like, here's your present, and

863
00:50:33,360 --> 00:50:37,560
Speaker 1: then okay it's that look up. There's a lot of looks.

864
00:50:37,800 --> 00:50:42,919
Speaker 1: I mean, this is very flirty. You're the present, Okay, yeah,

865
00:50:43,040 --> 00:50:45,919
Speaker 1: I mean like there there's even a moment where they

866
00:50:46,280 --> 00:50:49,080
Speaker 1: there's like an awkward moment where there's like eye contact

867
00:50:49,239 --> 00:50:52,239
Speaker 1: and then he has to break eye contact because otherwise

868
00:50:52,280 --> 00:50:55,920
Speaker 1: they would start kissing. Like that is that is that moment?

869
00:50:56,040 --> 00:50:59,680
Speaker 1: I don't, I mean the bashful eye contacted then looking

870
00:50:59,719 --> 00:51:04,000
Speaker 1: down is like so you universally sexual tension, yeah, like

871
00:51:04,040 --> 00:51:08,680
Speaker 1: in a rom com. Yeah, yeah, it's it's funny, they said.

872
00:51:08,960 --> 00:51:12,919
Speaker 1: Timothy Simon's from Veep. He was operating the cameras during

873
00:51:12,920 --> 00:51:16,239
Speaker 1: the auditions and callback phase of this commercial too. Like

874
00:51:16,280 --> 00:51:20,160
Speaker 1: he also contributed to this article about like there's like

875
00:51:20,160 --> 00:51:22,640
Speaker 1: it's just funny how much people have been like just

876
00:51:22,960 --> 00:51:25,440
Speaker 1: obsessed with this commercial like over the years to be

877
00:51:25,480 --> 00:51:27,879
Speaker 1: like this is the weirdest one or like just one

878
00:51:27,920 --> 00:51:30,920
Speaker 1: that's been hotly contested to be like what is the

879
00:51:31,520 --> 00:51:34,000
Speaker 1: what are y'all saying here? But I don't know if

880
00:51:34,000 --> 00:51:39,400
Speaker 1: they maybe the director was just really horny or something,

881
00:51:39,680 --> 00:51:43,880
Speaker 1: or the actors performance it's right, but did the director

882
00:51:43,920 --> 00:51:47,120
Speaker 1: go no, man like more tension. Man, sister just said,

883
00:51:47,160 --> 00:51:49,879
Speaker 1: you're the president. Man, let that land. Man, let's see

884
00:51:49,880 --> 00:51:52,760
Speaker 1: in your eyes. I mean it's also the camera shots,

885
00:51:52,800 --> 00:51:55,840
Speaker 1: like the shots are like weirdly sexual, like they're super

886
00:51:55,880 --> 00:51:57,840
Speaker 1: close in on his eye like looking at her like,

887
00:51:57,920 --> 00:52:00,520
Speaker 1: that's that's sexual tension right there, when you have your

888
00:52:00,560 --> 00:52:04,640
Speaker 1: chin down looking up. He smiles. That's my brother, sister.

889
00:52:05,840 --> 00:52:07,399
Speaker 1: And look, I'm an only child, so what the fund

890
00:52:07,440 --> 00:52:09,799
Speaker 1: do I know? But this would definitely if I saw

891
00:52:09,800 --> 00:52:11,480
Speaker 1: the two people do that, I'm like, do I need

892
00:52:11,520 --> 00:52:17,720
Speaker 1: to leave? Also, I just want to say this fucking

893
00:52:17,719 --> 00:52:19,840
Speaker 1: guy who apparently came back, I just haven't want to

894
00:52:19,840 --> 00:52:21,600
Speaker 1: add one last thing. He's like, oh man, I just

895
00:52:21,640 --> 00:52:26,400
Speaker 1: got back from West Africa. He's like, finally, coffee, really

896
00:52:26,600 --> 00:52:33,520
Speaker 1: Ethiopian coffee, Kenyan coffee, Ivory Coast. These people make. They

897
00:52:33,560 --> 00:52:37,400
Speaker 1: have coffee there that is really good. So finally coffee

898
00:52:37,400 --> 00:52:40,600
Speaker 1: that smells like they're just like that colonizer element to it.

899
00:52:40,840 --> 00:52:44,080
Speaker 1: It's an incestuous colonizer narrative. And I'm not here for

900
00:52:44,200 --> 00:52:51,880
Speaker 1: it with no coffee now wow, I mean yeah, I

901
00:52:51,920 --> 00:52:55,200
Speaker 1: wonder if they're there. Explanation is colored by the fact

902
00:52:55,239 --> 00:52:57,960
Speaker 1: that they like maybe really had a relationship or something

903
00:52:58,120 --> 00:53:01,799
Speaker 1: on the on the filming, because that that is some

904
00:53:01,920 --> 00:53:05,640
Speaker 1: serious palpable sexual test there. I almost like I want

905
00:53:05,640 --> 00:53:08,719
Speaker 1: to be great to hire these actors again and just

906
00:53:08,760 --> 00:53:11,160
Speaker 1: be like I'm doing like a comedy thing. Are you

907
00:53:11,200 --> 00:53:13,319
Speaker 1: down to reprise these roles? Like I'll pay you like

908
00:53:13,360 --> 00:53:16,040
Speaker 1: a fair rate, but like we're gonna take this. We're

909
00:53:16,040 --> 00:53:19,960
Speaker 1: going to continue like this commercial, like just we have

910
00:53:20,120 --> 00:53:23,640
Speaker 1: to see what happened the two days after this. It'll

911
00:53:23,680 --> 00:53:29,120
Speaker 1: be like Cousins the movie, except with siblings. Said, wait,

912
00:53:29,160 --> 00:53:32,680
Speaker 1: what's Cousins? I think that's a Ted Dancey movie where

913
00:53:32,880 --> 00:53:40,319
Speaker 1: he is fucking his cousin. My god, I think from Interesting.

914
00:53:40,400 --> 00:53:43,600
Speaker 1: I just remember always seeing it at the video store.

915
00:53:43,840 --> 00:53:47,799
Speaker 1: I think the videos com but yeah about Cousins. Yeah,

916
00:53:48,160 --> 00:53:51,600
Speaker 1: and it's like, gosh, won't people just be okay with

917
00:53:51,680 --> 00:53:57,080
Speaker 1: us fucking each other? Yeah? Anyways, squid Game is taking over.

918
00:53:58,360 --> 00:54:01,600
Speaker 1: Miles and I have watched episode one both right before

919
00:54:01,600 --> 00:54:03,200
Speaker 1: we going to bed last night, and then I didn't

920
00:54:03,239 --> 00:54:07,240
Speaker 1: sleep great, but um, I said grade. Actually, her majesty

921
00:54:07,360 --> 00:54:09,000
Speaker 1: just it was a little it was intense for her,

922
00:54:09,400 --> 00:54:12,480
Speaker 1: and I was like, you gotta decouple the violence from like,

923
00:54:12,520 --> 00:54:14,719
Speaker 1: what the the what the what the message is here?

924
00:54:15,040 --> 00:54:16,480
Speaker 1: You know what I mean. There's not just people getting

925
00:54:16,480 --> 00:54:18,439
Speaker 1: blasted left and right. I mean, like, what's it saying.

926
00:54:18,480 --> 00:54:21,919
Speaker 1: It's like it's still really hardcore. I'm like, yeah, yeah, yeah,

927
00:54:21,920 --> 00:54:25,880
Speaker 1: maybe I'm a little bit desensitized. And then Andrew, you

928
00:54:25,960 --> 00:54:29,239
Speaker 1: have watched episode eight and nine. Yeah, no, I watched

929
00:54:29,239 --> 00:54:31,319
Speaker 1: the episode wanted to. I actually think it gets better

930
00:54:31,320 --> 00:54:33,600
Speaker 1: at episode two. I think it goes in some surprising

931
00:54:33,640 --> 00:54:35,960
Speaker 1: ways which I will now spoil for everyone. And then

932
00:54:35,960 --> 00:54:38,759
Speaker 1: it's in No, but no, I do think the first

933
00:54:38,760 --> 00:54:41,840
Speaker 1: episode it's kind of like a little predictable but cool.

934
00:54:41,880 --> 00:54:43,960
Speaker 1: But the second episode does some surprising things where it

935
00:54:43,960 --> 00:54:45,560
Speaker 1: makes me think, oh, I'm excited to watch the rest

936
00:54:45,560 --> 00:54:48,160
Speaker 1: of the show. For you guys. Yeah, it makes some

937
00:54:48,280 --> 00:54:50,719
Speaker 1: interesting choices that I that you don't see coming and

938
00:54:50,719 --> 00:54:53,320
Speaker 1: that um, I think add more depth to the story

939
00:54:53,360 --> 00:54:55,680
Speaker 1: and the characters. It's interesting because a lot of the

940
00:54:55,840 --> 00:54:59,680
Speaker 1: like kind of mimified things that are happening are also

941
00:54:59,760 --> 00:55:03,520
Speaker 1: thing from the first episode. So at first, I was like, wow,

942
00:55:03,719 --> 00:55:06,880
Speaker 1: I was it was that like people people are slapping

943
00:55:06,920 --> 00:55:09,799
Speaker 1: each other in the subway, which seems like a random meme,

944
00:55:10,040 --> 00:55:12,440
Speaker 1: but that happens in the first episode. And then I

945
00:55:12,480 --> 00:55:15,800
Speaker 1: was wondering, are they just being are these all people

946
00:55:15,800 --> 00:55:20,200
Speaker 1: who only watched the first episode that they they were like,

947
00:55:20,239 --> 00:55:22,200
Speaker 1: I gotta go out there and express my love for

948
00:55:22,239 --> 00:55:25,920
Speaker 1: this first episode, or are they being super respectful of

949
00:55:25,960 --> 00:55:28,880
Speaker 1: those of us who haven't seen the second episode and

950
00:55:28,960 --> 00:55:34,680
Speaker 1: haven't good But yeah, I mean, so there's a there's

951
00:55:34,960 --> 00:55:38,960
Speaker 1: a they use a real phone number in in the

952
00:55:38,960 --> 00:55:41,399
Speaker 1: first episode, and when he gives him that like PlayStation card,

953
00:55:41,680 --> 00:55:44,000
Speaker 1: he gives him a place what looks like a PlayStation

954
00:55:44,120 --> 00:55:46,799
Speaker 1: card with what looks like the PlayStation logo on it,

955
00:55:47,160 --> 00:55:48,880
Speaker 1: and then on the other side as a phone number,

956
00:55:49,200 --> 00:55:51,719
Speaker 1: and that was a real phone number. It is the

957
00:55:52,400 --> 00:55:57,279
Speaker 1: most like centrally framed phone number that uh I could

958
00:55:57,280 --> 00:56:01,000
Speaker 1: imagine in a in a popular film. And then it

959
00:56:01,120 --> 00:56:03,959
Speaker 1: was real. There's a person whose life has been turned

960
00:56:04,000 --> 00:56:06,720
Speaker 1: upside down because they're now getting four thousand calls a day.

961
00:56:07,160 --> 00:56:11,880
Speaker 1: They are also a just random dude and his mid forties.

962
00:56:12,080 --> 00:56:14,560
Speaker 1: So I just want to quickly say all four thousand

963
00:56:14,600 --> 00:56:20,880
Speaker 1: dollars from me. Yes, I call it four thousand. I

964
00:56:20,920 --> 00:56:23,120
Speaker 1: signed the thing with my body rights. I'm ready. I'm ready.

965
00:56:23,120 --> 00:56:28,160
Speaker 1: I'm ready. But maybe you know the person is a

966
00:56:28,760 --> 00:56:32,919
Speaker 1: like a forty year old forty something person and who

967
00:56:33,000 --> 00:56:36,360
Speaker 1: like seems to be have seemed to have been randomly selected.

968
00:56:36,360 --> 00:56:40,520
Speaker 1: So maybe it's the filmmakers actually like doing something meta,

969
00:56:40,600 --> 00:56:42,920
Speaker 1: and that person is going to get pulled into a

970
00:56:43,000 --> 00:56:47,600
Speaker 1: dark game, and there's a I think they're gonna end

971
00:56:47,680 --> 00:56:50,880
Speaker 1: up being okay with all those calls because now a

972
00:56:50,920 --> 00:56:55,560
Speaker 1: South Korean semi fringe political candidate who's running for president

973
00:56:55,600 --> 00:56:58,440
Speaker 1: wants to buy the number for eighty five thousand dollars,

974
00:56:58,680 --> 00:57:00,839
Speaker 1: So I think, so, what what's the goal with that?

975
00:57:00,920 --> 00:57:02,560
Speaker 1: People call it and then there's like a message it's

976
00:57:02,600 --> 00:57:04,879
Speaker 1: just like, hey, you should vote for this guy. Yeah,

977
00:57:05,000 --> 00:57:08,120
Speaker 1: like that's what he's He's like, I've got a solution

978
00:57:08,160 --> 00:57:11,680
Speaker 1: to our inequality call of this number. Yeah, like, well, wait,

979
00:57:11,680 --> 00:57:15,080
Speaker 1: hold on, what's your platform exactly to kill a lot

980
00:57:15,080 --> 00:57:22,040
Speaker 1: of your squid game? I'm the costumes that that was

981
00:57:22,720 --> 00:57:25,760
Speaker 1: an immediate thought I had. The next time that I

982
00:57:25,760 --> 00:57:28,280
Speaker 1: thought about Halloween costumes is there seems to be some

983
00:57:28,880 --> 00:57:31,920
Speaker 1: very dope, very easy to pull off Halloween costumes throughout

984
00:57:31,960 --> 00:57:36,040
Speaker 1: the first episode, and there they are being sold online.

985
00:57:36,160 --> 00:57:39,360
Speaker 1: The ones I'm looking at don't look I don't know,

986
00:57:39,560 --> 00:57:44,400
Speaker 1: they don't look super trustworthy. The one of them just

987
00:57:44,800 --> 00:57:49,200
Speaker 1: says squid squid Game cosplay jumpsuit, squid game cosplay costumes,

988
00:57:49,200 --> 00:57:51,960
Speaker 1: squid game mass costumes, squid game like it looks like

989
00:57:52,000 --> 00:57:55,760
Speaker 1: it was just written by a s e O bot, right,

990
00:57:56,160 --> 00:57:59,720
Speaker 1: but you know, and then the track suit that the

991
00:58:00,000 --> 00:58:04,920
Speaker 1: listeners or whatever contestants have, is that what it actually

992
00:58:04,960 --> 00:58:09,120
Speaker 1: looks like and they look similar to that? Okay, all right, yeah,

993
00:58:09,840 --> 00:58:13,000
Speaker 1: all right. I didn't actually watch the whole first episode, guys,

994
00:58:13,920 --> 00:58:19,880
Speaker 1: only five minutes in. Uh actually quick questions, you guys

995
00:58:19,880 --> 00:58:25,480
Speaker 1: watching dubbed during Korean? What are you doing? Oh in Korean? Hey?

996
00:58:25,520 --> 00:58:27,520
Speaker 1: It started as dubbed for me and I like five

997
00:58:27,520 --> 00:58:29,280
Speaker 1: minutes in, I was like, I don't like this, but

998
00:58:30,200 --> 00:58:34,080
Speaker 1: watching yeah, dubbed, just like it takes so much away,

999
00:58:34,160 --> 00:58:37,400
Speaker 1: Like you can't really see the right performances of because

1000
00:58:37,400 --> 00:58:39,280
Speaker 1: even if I don't speak the language like you can,

1001
00:58:39,480 --> 00:58:43,000
Speaker 1: there's like there's a you know, an intangible quality that

1002
00:58:43,280 --> 00:58:46,040
Speaker 1: that comes across the performance. And yeah, and I've actually

1003
00:58:46,080 --> 00:58:48,040
Speaker 1: decided I like the second episode so much that I'm

1004
00:58:48,040 --> 00:58:50,360
Speaker 1: not going to watch anymore until I become fluent in Korean.

1005
00:58:50,520 --> 00:58:55,600
Speaker 1: So right, that's exciting. Have you started taking lessons or no? No, no, no,

1006
00:58:55,640 --> 00:58:59,000
Speaker 1: I mean I'm not gonna let it happen naturally. I'm

1007
00:58:59,040 --> 00:59:00,600
Speaker 1: just gonna wait for it to kind to come to me.

1008
00:59:01,040 --> 00:59:04,800
Speaker 1: Oh yeah, yeah, like me in college. Yeah, exactly what.

1009
00:59:07,480 --> 00:59:14,320
Speaker 1: You're gonna meet people for a long time. It's gonna

1010
00:59:14,560 --> 00:59:17,880
Speaker 1: just no energy invested at all. It'll work out. Koreans

1011
00:59:17,920 --> 00:59:19,800
Speaker 1: also a cool language. It sounds cool to hear, you know,

1012
00:59:19,960 --> 00:59:24,200
Speaker 1: it's cool. I now have My wife is Korean. I

1013
00:59:24,880 --> 00:59:29,240
Speaker 1: live basically in Koreatown. I have no excuse not to

1014
00:59:29,320 --> 00:59:33,640
Speaker 1: learn Korean. Does she speak kore influently? She speaks Korean? Yeah,

1015
00:59:33,720 --> 00:59:37,880
Speaker 1: I fluently. Um, her mom, who grew up in Korea

1016
00:59:37,920 --> 00:59:40,960
Speaker 1: and dead grew up in Korea, are like, would not

1017
00:59:41,040 --> 00:59:44,959
Speaker 1: say she speaks it fluently, but as hell to me? Yeah,

1018
00:59:45,040 --> 00:59:48,080
Speaker 1: did you watch it with her? No, she was asleep,

1019
00:59:48,280 --> 00:59:51,520
Speaker 1: So I'm gonna have to rewatch episode one and then Yeah,

1020
00:59:51,720 --> 00:59:53,920
Speaker 1: you know, sounds cool? Is that they said? Is that?

1021
00:59:53,960 --> 00:59:58,680
Speaker 1: What they really said, is that you check the translation.

1022
00:59:59,560 --> 01:00:06,480
Speaker 1: Somebody did so, but what did I say? It's anything

1023
01:00:07,000 --> 01:00:11,360
Speaker 1: like yeah, contextually, am I missing anything? Or somebody did

1024
01:00:11,520 --> 01:00:14,600
Speaker 1: like tweet that they were like, you know, like this

1025
01:00:14,640 --> 01:00:18,240
Speaker 1: is super annoying. I apologize, but as a fluent Korean

1026
01:00:18,280 --> 01:00:22,320
Speaker 1: speaker they fucked up the subtitles, Like you really have

1027
01:00:22,400 --> 01:00:26,360
Speaker 1: to be a fluent create appreciate the show writing. Yeah,

1028
01:00:26,400 --> 01:00:28,880
Speaker 1: the writing is like amazing, but you wouldn't get that

1029
01:00:28,920 --> 01:00:31,160
Speaker 1: from the subject. I mean that's a typical issue with

1030
01:00:31,280 --> 01:00:34,560
Speaker 1: anything that's getting translated, because sometimes it may be someone

1031
01:00:34,560 --> 01:00:38,120
Speaker 1: who's like super proficient in a language, like without fully

1032
01:00:38,160 --> 01:00:41,080
Speaker 1: being able to like recreate in words like what that

1033
01:00:41,120 --> 01:00:44,240
Speaker 1: equivalent should be. Yeah, I mean there's also something poetic,

1034
01:00:44,320 --> 01:00:47,080
Speaker 1: you know, Like I think when when books are translated,

1035
01:00:47,080 --> 01:00:49,000
Speaker 1: there's like so much thought that goes into it because

1036
01:00:49,040 --> 01:00:51,600
Speaker 1: you have to capture the kind of the poetic construction

1037
01:00:51,640 --> 01:00:53,480
Speaker 1: of the of the words. And maybe yeah, maybe it's

1038
01:00:53,600 --> 01:00:56,240
Speaker 1: with with TV shows people put less heart into it

1039
01:00:56,360 --> 01:00:59,520
Speaker 1: or something, yeah, or it's just rushed, but yeah, that's

1040
01:00:59,560 --> 01:01:01,680
Speaker 1: a that to its own art form, like to be

1041
01:01:01,760 --> 01:01:05,040
Speaker 1: able to translate. Like I remember once I helped translate

1042
01:01:05,080 --> 01:01:09,120
Speaker 1: a Japanese film, but they had me come into like

1043
01:01:09,240 --> 01:01:12,040
Speaker 1: punch up the diet, like to punch up the translation.

1044
01:01:12,200 --> 01:01:15,280
Speaker 1: So it actually to a younger American person was like

1045
01:01:15,520 --> 01:01:18,520
Speaker 1: an equivalent rather than like, hey, did you hear you

1046
01:01:18,640 --> 01:01:23,600
Speaker 1: fuck you bastard. You know nobody's saying that. It's like

1047
01:01:23,680 --> 01:01:29,960
Speaker 1: fun off. Yeah. So a couple other like tie insto

1048
01:01:30,000 --> 01:01:33,120
Speaker 1: it you can buy the depressing lunch box set that

1049
01:01:33,240 --> 01:01:36,440
Speaker 1: the prisoners eat. I think that is from a later episode.

1050
01:01:36,440 --> 01:01:39,120
Speaker 1: I don't think that happens in the first episode. That too. Okay,

1051
01:01:39,240 --> 01:01:42,520
Speaker 1: you'll see, you'll get there. But uh, in the Philippines

1052
01:01:42,520 --> 01:01:46,440
Speaker 1: installed a life sized giant robot that is looks identical

1053
01:01:46,480 --> 01:01:48,200
Speaker 1: to the one are very similar to the one from

1054
01:01:48,200 --> 01:01:50,240
Speaker 1: the Red Light Green Light game in the first episode,

1055
01:01:50,640 --> 01:01:54,000
Speaker 1: which is interesting because that so it's like supposed to

1056
01:01:54,000 --> 01:01:58,920
Speaker 1: stop jaywalkers. That that seems like a the hell of

1057
01:01:59,000 --> 01:02:01,760
Speaker 1: a message to assend. I'll just say that for anybody

1058
01:02:01,760 --> 01:02:05,120
Speaker 1: who hasn't seen it, right right right, Wow, that's in

1059
01:02:05,400 --> 01:02:09,640
Speaker 1: just a jay walker's that fucking head spins around and

1060
01:02:09,680 --> 01:02:15,400
Speaker 1: the eyes like it's also weird to do that in

1061
01:02:15,440 --> 01:02:18,400
Speaker 1: the country where like the president is like down to

1062
01:02:18,520 --> 01:02:21,600
Speaker 1: kill people who use drugs like on the streets, like

1063
01:02:22,120 --> 01:02:24,280
Speaker 1: not the great not the best country to be kind

1064
01:02:24,280 --> 01:02:27,240
Speaker 1: of putting that out there as a promotional device. Yeah,

1065
01:02:27,560 --> 01:02:32,000
Speaker 1: my guests would be that that happened because terror tas

1066
01:02:32,080 --> 01:02:35,840
Speaker 1: saw the I like that. I like that it was

1067
01:02:36,480 --> 01:02:40,480
Speaker 1: do that for Jay Walkers. It's taken over TikTok. Like

1068
01:02:40,520 --> 01:02:42,800
Speaker 1: I mentioned, there's a people slapping each other in the

1069
01:02:42,840 --> 01:02:47,760
Speaker 1: Subway Stations game that's getting recreated. And the show only

1070
01:02:47,800 --> 01:02:51,600
Speaker 1: came out two weeks ago. It's so popular right now

1071
01:02:51,800 --> 01:02:54,960
Speaker 1: around the world that Netflix is being sued for all

1072
01:02:55,000 --> 01:02:58,720
Speaker 1: the bandwidth that is getting used up. It's getting sued

1073
01:02:58,720 --> 01:03:03,520
Speaker 1: by Internet serve providers basically around in South Korea for one,

1074
01:03:03,920 --> 01:03:08,080
Speaker 1: which is already an issue like that, basically the you

1075
01:03:08,120 --> 01:03:12,360
Speaker 1: know I sps are being super heavily text in ways

1076
01:03:12,440 --> 01:03:15,520
Speaker 1: that they weren't expecting before streaming became a thing. But

1077
01:03:15,640 --> 01:03:18,040
Speaker 1: it's been a thing now for for a while. But

1078
01:03:19,000 --> 01:03:22,160
Speaker 1: I love that. It's like, dude, the contents too lit.

1079
01:03:23,760 --> 01:03:28,360
Speaker 1: That's basically what it is, infro being transmitted. Yeah, but anyways,

1080
01:03:28,400 --> 01:03:31,800
Speaker 1: it's a it's a real phenomenon. I highly recommend the

1081
01:03:31,840 --> 01:03:34,439
Speaker 1: first episode. I can tell you that I can say

1082
01:03:34,480 --> 01:03:37,040
Speaker 1: the same and I'm I'm like kind of at that

1083
01:03:37,040 --> 01:03:40,120
Speaker 1: crossroads where I'm like, do I leave her majesty behind

1084
01:03:40,160 --> 01:03:42,960
Speaker 1: to keep watching it? Because like I it's a show

1085
01:03:43,000 --> 01:03:46,280
Speaker 1: where I fucking want to just keep like I don't

1086
01:03:46,280 --> 01:03:47,880
Speaker 1: want to stop, Like I think I could do it

1087
01:03:47,920 --> 01:03:49,880
Speaker 1: all in one sitting on Sunday, Like I'm just like

1088
01:03:50,200 --> 01:03:54,560
Speaker 1: clear off the calendar time for squid Game. But I

1089
01:03:54,560 --> 01:03:57,640
Speaker 1: don't know if my partner is going to be happy

1090
01:03:57,720 --> 01:04:01,120
Speaker 1: with that. Yeah, maybe let's watch it twice. Fuck it's

1091
01:04:01,160 --> 01:04:04,640
Speaker 1: the first episode again. Yeah, Andrew, such a pleasure having you,

1092
01:04:04,760 --> 01:04:06,640
Speaker 1: thank you for for having me is so much fun.

1093
01:04:06,720 --> 01:04:08,240
Speaker 1: I love the show and happy to be part of it.

1094
01:04:08,640 --> 01:04:12,520
Speaker 1: Thank you. Where can people find you and follow you? Yeah?

1095
01:04:12,600 --> 01:04:15,960
Speaker 1: I'm online at Andrew mis Sean M I, C H

1096
01:04:15,960 --> 01:04:17,880
Speaker 1: A A and and all this stuff. And then my

1097
01:04:17,920 --> 01:04:20,200
Speaker 1: podcast is podcast but outside what you mentioned earlier. But

1098
01:04:20,600 --> 01:04:22,560
Speaker 1: if you're not familiar, we set up a table on

1099
01:04:22,600 --> 01:04:24,840
Speaker 1: the sidewalk and interview strangers as they happen to be

1100
01:04:24,880 --> 01:04:28,560
Speaker 1: walking by. It's very unexpected and fun and interesting conversations

1101
01:04:28,560 --> 01:04:31,320
Speaker 1: with different types of people every week on YouTube and

1102
01:04:31,400 --> 01:04:33,840
Speaker 1: podcast apps. You guys are really good at like getting

1103
01:04:35,080 --> 01:04:38,400
Speaker 1: finding interesting people and just like, yeah, you know, having

1104
01:04:38,440 --> 01:04:40,680
Speaker 1: done it for a few years. It's almost self selecting,

1105
01:04:40,720 --> 01:04:42,480
Speaker 1: and that usually the people that tend to sit down

1106
01:04:42,480 --> 01:04:45,880
Speaker 1: to the people that tend to be interesting. Yeah, and

1107
01:04:45,880 --> 01:04:47,720
Speaker 1: I think we've gotten really good at kind of teasing

1108
01:04:47,720 --> 01:04:50,280
Speaker 1: out what makes them interesting as quick as possible. We're

1109
01:04:50,280 --> 01:04:52,440
Speaker 1: also on tour right now. We're doing a live a

1110
01:04:52,480 --> 01:04:55,040
Speaker 1: live version of the show, which I think is actually

1111
01:04:55,040 --> 01:04:57,400
Speaker 1: better than like it's really our live show is really

1112
01:04:57,400 --> 01:05:00,360
Speaker 1: special and fun. The premise is basically me and my

1113
01:05:00,480 --> 01:05:03,080
Speaker 1: podcast co host col hirsch Er in the theater, and

1114
01:05:03,120 --> 01:05:05,600
Speaker 1: then our intern who's like kind of become a third

1115
01:05:05,600 --> 01:05:07,760
Speaker 1: member of the show. He's like a young charismatic guy.

1116
01:05:08,120 --> 01:05:11,360
Speaker 1: He goes live on Instagram and that's projected behind us

1117
01:05:11,520 --> 01:05:14,240
Speaker 1: on a projector at the venue, and he leaves the venue,

1118
01:05:14,320 --> 01:05:17,360
Speaker 1: goes outside and finds random strangers who are like walking

1119
01:05:17,360 --> 01:05:19,600
Speaker 1: home from work or on their way to dinner, and

1120
01:05:19,640 --> 01:05:22,360
Speaker 1: convinces them to come be interviewed on the show. So

1121
01:05:22,480 --> 01:05:24,280
Speaker 1: they're just like living their lives. And then all of

1122
01:05:24,320 --> 01:05:26,840
Speaker 1: a sudden, they walk into a venue with like three

1123
01:05:27,240 --> 01:05:29,640
Speaker 1: people in the audience, and like we've been watching, so

1124
01:05:29,680 --> 01:05:31,520
Speaker 1: the audience knows their names, so we're all chanting for

1125
01:05:31,560 --> 01:05:33,720
Speaker 1: their name. Like Mike, Mike, Mike, and then they walk

1126
01:05:33,800 --> 01:05:37,000
Speaker 1: in and they're like, what is this at what is happening?

1127
01:05:37,160 --> 01:05:40,160
Speaker 1: And so we've had some really fun Like in Oakland,

1128
01:05:40,240 --> 01:05:42,480
Speaker 1: we had these these two young guys who came on

1129
01:05:43,160 --> 01:05:44,720
Speaker 1: and then we're talking to them and we're like they

1130
01:05:44,720 --> 01:05:46,000
Speaker 1: were like in their early twenties and we're like, so

1131
01:05:46,040 --> 01:05:47,680
Speaker 1: you guys know each other a long time. They're like, yeah,

1132
01:05:47,760 --> 01:05:49,800
Speaker 1: we've been friends since high school. And a woman in

1133
01:05:49,800 --> 01:05:51,840
Speaker 1: the audience goes, you guys go to albody high and

1134
01:05:51,880 --> 01:05:54,240
Speaker 1: they're like, yeah, who's that. She goes, it's miss Green.

1135
01:05:54,280 --> 01:05:57,800
Speaker 1: You're English teacher. They're English teacher was a fan of

1136
01:05:57,840 --> 01:05:59,720
Speaker 1: our show, and she came on stage and we all

1137
01:05:59,760 --> 01:06:02,360
Speaker 1: talked about high school. It was really cool. So Yeah,

1138
01:06:02,400 --> 01:06:05,840
Speaker 1: we got our East coast run d C, Philly, New York,

1139
01:06:05,840 --> 01:06:07,960
Speaker 1: and Boston. Some of them are almost sold out, but um,

1140
01:06:07,960 --> 01:06:09,520
Speaker 1: it's a very fun, exciting show. Even if you're not

1141
01:06:09,520 --> 01:06:12,120
Speaker 1: familiar with our podcast, I would highly recommend coming to

1142
01:06:12,160 --> 01:06:14,960
Speaker 1: that if you're any of those cities. That's awesome. Yeah. Thanks.

1143
01:06:15,200 --> 01:06:17,000
Speaker 1: Is there a tweet or some of the work of

1144
01:06:17,160 --> 01:06:20,080
Speaker 1: social media you've been enjoying. Yeah, I saw a friend

1145
01:06:20,520 --> 01:06:25,200
Speaker 1: had a funny tweet yesterday. This girl Helena Fresh Hell

1146
01:06:25,320 --> 01:06:29,240
Speaker 1: do you follow her on Twitter? She's very funny. She says,

1147
01:06:29,760 --> 01:06:32,360
Speaker 1: I want nepotism to happen to me. That would be

1148
01:06:32,440 --> 01:06:40,840
Speaker 1: more ethical than when it happens regular regular, more regular style,

1149
01:06:41,640 --> 01:06:47,480
Speaker 1: when it happens regular. I love that Miles where people

1150
01:06:47,520 --> 01:06:49,960
Speaker 1: find you. What's a tweet you've been in on Twitter

1151
01:06:50,000 --> 01:06:52,439
Speaker 1: and Instagram? At Miles of Gray. Also the other show

1152
01:06:52,520 --> 01:06:55,480
Speaker 1: four twenty Day Fiance. If you like ninety Day Fiance

1153
01:06:55,720 --> 01:06:59,520
Speaker 1: and Stoned Funniness, it's Sophia, Alexander and I talking about

1154
01:06:59,560 --> 01:07:02,800
Speaker 1: our favor at TV show, So check that out. First

1155
01:07:02,800 --> 01:07:06,720
Speaker 1: tweet I like is from at low Land Louis or

1156
01:07:06,800 --> 01:07:09,640
Speaker 1: oh no, it's l O L and Louis. Uh huh,

1157
01:07:09,640 --> 01:07:13,480
Speaker 1: that's what it is. Uh. And Mr Mr Problems tweeted

1158
01:07:13,880 --> 01:07:17,480
Speaker 1: it's officially hoodie stealing season, which is to say grand

1159
01:07:17,520 --> 01:07:23,400
Speaker 1: theft Autumn and somebody who has had so many fucking

1160
01:07:23,400 --> 01:07:28,200
Speaker 1: hooded sweatshirts stolen from me from romantic partners. It resonates

1161
01:07:28,200 --> 01:07:30,880
Speaker 1: with me and I'm still I'm looking at you, Bianca.

1162
01:07:30,960 --> 01:07:34,400
Speaker 1: I know you have my baby cause collabor hooded sweatshirt

1163
01:07:34,400 --> 01:07:36,280
Speaker 1: that ship came from Japan. And I know it just

1164
01:07:36,320 --> 01:07:39,280
Speaker 1: looks great to you, but that ship is very valuable

1165
01:07:39,320 --> 01:07:42,800
Speaker 1: to me. Please give it back, Banca. Is that why

1166
01:07:42,840 --> 01:07:44,280
Speaker 1: you like? Is that what you like living with your

1167
01:07:44,280 --> 01:07:46,720
Speaker 1: partner because you don't have to worry about that? Nah?

1168
01:07:46,800 --> 01:07:48,880
Speaker 1: Yeah exactly. And I'm like, my ship's way too big

1169
01:07:48,920 --> 01:07:52,520
Speaker 1: for her. So it's just like it looks goofy or

1170
01:07:53,440 --> 01:07:56,840
Speaker 1: asked her to move in after the first date, right, Yeah,

1171
01:07:56,920 --> 01:07:59,400
Speaker 1: I can see the way she's looking at my hoodies. Yeah,

1172
01:08:00,320 --> 01:08:01,800
Speaker 1: I've gotta be in the same roof all right, come on,

1173
01:08:01,880 --> 01:08:04,000
Speaker 1: let's just do this. Let's make it aficient. Uh. And

1174
01:08:04,000 --> 01:08:07,680
Speaker 1: then next one at Catholic Dad for twenty tweeted being

1175
01:08:07,760 --> 01:08:10,479
Speaker 1: vaguely ethnic means no matter what type of corner store

1176
01:08:10,520 --> 01:08:12,960
Speaker 1: I go to, the owner treats me like his nephew,

1177
01:08:13,480 --> 01:08:16,400
Speaker 1: and I feel that ship very deep in my bones.

1178
01:08:16,439 --> 01:08:19,200
Speaker 1: I will say this for the amount of like doughnuts

1179
01:08:19,439 --> 01:08:22,680
Speaker 1: stores that were owned by Cambodian immigrants in like l

1180
01:08:22,720 --> 01:08:25,200
Speaker 1: a Man. When I was a kid, I would go

1181
01:08:25,240 --> 01:08:27,760
Speaker 1: in there and they would be like, oh, your Cambodian,

1182
01:08:27,880 --> 01:08:30,200
Speaker 1: and I'm like nah, They're like, no, your Cambodi, and

1183
01:08:30,200 --> 01:08:32,559
Speaker 1: I'm like okay, and then I got free donuts. I'm like, yeah,

1184
01:08:32,560 --> 01:08:36,240
Speaker 1: I'm Cambodia, come out. What a beautiful way to grow

1185
01:08:36,280 --> 01:08:42,439
Speaker 1: up Cambodian. Yeah, reinforcement through donuts. Let's see. You can

1186
01:08:42,479 --> 01:08:44,880
Speaker 1: find me on Twitter at Jack Underscore. O'Brian a tweet

1187
01:08:44,880 --> 01:08:49,839
Speaker 1: I've been enjoying uh. Paul Musgrave tweeted did humans really

1188
01:08:49,960 --> 01:08:52,839
Speaker 1: build the New York City subway system? At one billion

1189
01:08:52,880 --> 01:08:56,679
Speaker 1: dollars per mile? In today's costs? How could primitive twentieth

1190
01:08:56,800 --> 01:09:00,200
Speaker 1: century humans have built eight hundred and fifty miles of act?

1191
01:09:00,640 --> 01:09:04,800
Speaker 1: Did they have extra terrestrial assistants or did they have

1192
01:09:04,960 --> 01:09:08,160
Speaker 1: some way of not spending a goddamn billion dollars a mile?

1193
01:09:08,720 --> 01:09:13,800
Speaker 1: And then Sean O'Connor tweeted a Sopranos movie released during

1194
01:09:13,800 --> 01:09:20,360
Speaker 1: spooky season. Yeah, I'm gonna call them gabba ghouls. Oh boy,

1195
01:09:20,800 --> 01:09:24,120
Speaker 1: can't beat that beat that. You can find us on

1196
01:09:24,120 --> 01:09:26,759
Speaker 1: Twitter at Daily Zeitgeist. We're at the Daily si Geist

1197
01:09:26,800 --> 01:09:29,599
Speaker 1: on Instagram. We have Facebook fan page and a website

1198
01:09:29,680 --> 01:09:32,080
Speaker 1: Daily zi guys dot com, where we post our episode

1199
01:09:32,439 --> 01:09:35,040
Speaker 1: and our footnotes. We link off to the information that

1200
01:09:35,080 --> 01:09:38,160
Speaker 1: we talked about in today's episode, as well as a

1201
01:09:38,280 --> 01:09:41,360
Speaker 1: song that we think it might enjoy miles. What song

1202
01:09:41,400 --> 01:09:44,080
Speaker 1: are we telling people to go check out? You want

1203
01:09:44,120 --> 01:09:46,320
Speaker 1: to check out? Let's just you know, I'm feeling, you know,

1204
01:09:47,040 --> 01:09:50,720
Speaker 1: after that Folders commercial, So I wanted to attract By

1205
01:09:50,760 --> 01:09:54,280
Speaker 1: the Juggernauts j U G G A K and O

1206
01:09:54,520 --> 01:09:58,479
Speaker 1: T S. This is a Bronx rap group from the

1207
01:09:58,600 --> 01:10:01,639
Speaker 1: nineties that, like how like a vinyl that came out

1208
01:10:01,800 --> 01:10:04,439
Speaker 1: and then but it was like on like Barbito's label,

1209
01:10:04,479 --> 01:10:07,519
Speaker 1: where like it only came out on vinyl and never

1210
01:10:07,600 --> 01:10:11,040
Speaker 1: hit mainstream. But this track is called clear Blue Skies,

1211
01:10:11,360 --> 01:10:13,960
Speaker 1: which is very funny because when you listen to it,

1212
01:10:14,040 --> 01:10:16,640
Speaker 1: for those of us who know the Meters, they're sampling

1213
01:10:16,800 --> 01:10:20,439
Speaker 1: the tracks Stormy by the Meters for the instrumental and

1214
01:10:20,479 --> 01:10:22,840
Speaker 1: it just has that like you know, golden era of

1215
01:10:22,840 --> 01:10:25,760
Speaker 1: boom bath New York rap style that I love, so

1216
01:10:25,880 --> 01:10:27,559
Speaker 1: you will love it too. To start your week, it's

1217
01:10:27,600 --> 01:10:32,120
Speaker 1: clear Blue Skies by Juggonauts right, well, we are going

1218
01:10:32,200 --> 01:10:36,240
Speaker 1: to send you to go listen to that. The Daily

1219
01:10:36,320 --> 01:10:38,080
Speaker 1: Zey Guy is a production of I Heart Radio. For

1220
01:10:38,160 --> 01:10:40,760
Speaker 1: more podcast from my Heart Radio, visit the i Heart

1221
01:10:40,840 --> 01:10:44,000
Speaker 1: Radio app Apple podcast wherever you listen to your favorite

1222
01:10:44,000 --> 01:10:46,439
Speaker 1: shows that is going to do it for us this morning,

1223
01:10:46,479 --> 01:10:48,679
Speaker 1: but we're back this afternoon to tell you what's trending.

1224
01:10:49,040 --> 01:10:51,719
Speaker 1: We'll talk to y'all that Bye bye bye