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Speaker 1: Hello the Internet, and welcome to season one, three, Episode

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Speaker 1: five of Your Daily Guys, Watching Out My Heart Radio.

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

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Speaker 1: into America's shared consciousness and say, officially, off the top,

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Speaker 1: fuck the Koch Brothers, fuck Fox News, fuck Rush Limbaugh,

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Speaker 1: fuck Ben Shapiro, Tucker Carlson. Friday, October second, my name

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Speaker 1: is Jack O'Brien, a k and my thigh yeah as

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Speaker 1: well always blind you. That is courtesy of Nico at Nico. Uh,

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Speaker 1: you thought I was gonna hit that note? You mean

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Speaker 1: you've just heard me hit that note? Bro? Uh And

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

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Speaker 1: host Mr Miles Great Smoky home k be smoke. Now,

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Speaker 1: I'm a Papa Kirk playing copy top. I'm gonna take

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Speaker 1: it to the Papa show on. It takes a hug,

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Speaker 1: great band, Gray Band, Okay, thank you too. Trying Chess

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Speaker 1: tv z a gays or another fifty cent if I

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Speaker 1: can't uh inspired a k A yes, A shout out

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Speaker 1: of when I was talking last time about to get

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Speaker 1: Richard I try. And I'm talking very specifically about this

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Speaker 1: kid went to my high school who was white, who

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Speaker 1: became a gangster when that album came out and name

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Speaker 1: uh from Jonathan to Johnny J. And it was like epic, Yo,

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Speaker 1: they're like, y'all, Johnny J. He's coming through and with

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Speaker 1: vanifal Oh, it's trouble, It's trouble. Yeah. He had a van.

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Speaker 1: He had a minivan. Yeah, everybody, yeah, yeah. The van

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Speaker 1: was like the mobile like clubhouse, you know, yeah, at

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Speaker 1: least for like millennials of a certain age, like that's

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Speaker 1: the first place you like smoke weed or drink beer

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Speaker 1: or someone someone weird minivan My sister data dude who

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Speaker 1: had a white minivan with the lights underneath it, uh

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Speaker 1: like underglow, yeah, under like it was trying to be

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Speaker 1: like fast furious, but uh and he ended up getting

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Speaker 1: in a car chase with the police and wait, welling

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Speaker 1: our house from with from a stolen car on the

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Speaker 1: on a cell phone back before, like back when like

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Speaker 1: cell phones are like registered to cars. So it's like

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Speaker 1: the dumbest thing you could possibly do in a high

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Speaker 1: speed chase with the law. The realist motherfucker that you

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Speaker 1: ever saw. Yeah, Okay, took it from Ohio all the

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Speaker 1: way down to Tennessee. Wait, this dude was sister blast

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Speaker 1: like this just for a little bit. And then what

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Speaker 1: was that like when you saw it? Like that's who

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Speaker 1: she's dating? Like did you did you witness this? Like

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Speaker 1: he pulled up me like, hey, I'm here to pick

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Speaker 1: up your sister. Bro. No, I saw him a little

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Speaker 1: bit like around the mall, uh a dating mall. That's

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Speaker 1: where we were kicking it back then. Yeah, shout out

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Speaker 1: to him. I hope he's doing all right. Shout out

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Speaker 1: to Dayton and all the funk bands that come out

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Speaker 1: of Dayton, Ohio. Yeah, a lot of things coming out

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Speaker 1: of Date in Ohio. One of the top NBA prospects

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Speaker 1: this year's coming out of the University of Dating. Hold on,

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Speaker 1: hold on, Now it's training into a sports podcast now yeah, yeah,

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Speaker 1: let's do it. But before we get into that, we

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Speaker 1: have to welcome our NBA Draft expert, the hilarious and

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Speaker 1: talented Sara Jews. Everybody, I know everything, and I have

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Speaker 1: so many opinions. For example, one guy that was good

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Speaker 1: is bad now and another guy that was bad surprisingly

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Speaker 1: better this year. Also, all have you guys noticed that

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Speaker 1: in the stands they're not real people? That's right. I

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Speaker 1: just had Obama up there. Although I don't know. I

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Speaker 1: thought it was a little irresponsible of Obama to go

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Speaker 1: to a game, right, But it turns out without a mask,

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Speaker 1: without a mask to mask, no one had masks on

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Speaker 1: the court, no one had masks in the stands. Really

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Speaker 1: really responsible, I agree. Jimmy Butler's okay, Yeah, I do too.

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Speaker 1: You know that was wild. He just like started getting

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Speaker 1: hurt all the stuff. Anyway, she's turning into a sports podcast.

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Speaker 1: Turning into a sports podcast? Are we getting a lot

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Speaker 1: of ship for that? I just I'm just like laughing

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Speaker 1: because I'm fighting my own internal monologues of being like

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Speaker 1: you hate reality, you hate reality, make with the sports

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Speaker 1: talk or some other nonsense about music or minivans and smoke.

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Speaker 1: Just want my brain inside that bubble in a bubble

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Speaker 1: and bubble wrap. Sorry, June, what's new with you? I've

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Speaker 1: stopped trying. I've tried to stop asking people how they're doing.

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Speaker 1: So I'm just gonna ask, wasn't that's a good? That's

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Speaker 1: good because those conversations get bad quick? Um? What's new?

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Speaker 1: I have some great news? Um? You guys remember how

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Speaker 1: I got quarantine chickens. They laid their first egg yesterday.

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Speaker 1: I don't know which one did it. I have my suspicions, um,

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Speaker 1: but it was very miraculous and delicious. Wow. You know,

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Speaker 1: so you still don't know who laid the egg. But oh,

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Speaker 1: that's why you're asking for those jumper cables in that

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Speaker 1: car battery so you can figure out get to the

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Speaker 1: bottom of this egg. I have a lot of scare time,

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Speaker 1: so I'm building. Um. I did hold it up to

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Speaker 1: each of them and yell who did this? No, no answers,

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Speaker 1: nothing is what's the what's the rules? Like? Is there

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Speaker 1: like a tradition like with the first egg you frame

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Speaker 1: it or you just eat that ship? Huh? Yeah, I

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Speaker 1: put it. I mean I I ate it. I framed

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Speaker 1: it in my belly and just gobbled it up, gobbled

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Speaker 1: it up while you were out there, just picked it up.

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Speaker 1: I screamed who did this? And then I swallowed it whole.

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Speaker 1: I'm fine. I'm doing fine in quarantine. These chickens are healthy.

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Speaker 1: I'm glad they're laying eggs. You know, Look, look, there

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Speaker 1: was a whole you know, we have like a whole

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Speaker 1: three act structure. Now you do. That's why I told you,

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Speaker 1: because I really wanted to close that up for you.

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Speaker 1: Give you guys some closure. My rooster did pass away unexpectedly,

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Speaker 1: which she's very sad, thank you, But um, the girls

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Speaker 1: are doing fine without him. And now I wonder if

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Speaker 1: they killed him, but I don't think that they did.

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Speaker 1: More intrigue. Yeah, you got, you gotta who done it?

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Speaker 1: On many levels, I'm like, yeah, I got, I got

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Speaker 1: a lot of different channels going. It's like I used

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Speaker 1: to play the Sims and now I have Now I

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Speaker 1: have livestock. Just project stories onto my chickens. You are

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Speaker 1: the mayor of Chicken City. I am king of Chicken Town. Bitch,

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Speaker 1: what do we think of I keep seeing these things

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Speaker 1: that it's like women who kill and like there's like

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Speaker 1: podcast about it. There's like TV she's who's where are

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Speaker 1: you seeing? This? Is your wife joining this to you? No? No,

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Speaker 1: are you sure your wife is not at this? Yeah,

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Speaker 1: she's always leaving them on or like a book open

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Speaker 1: to a certain page. No, it's yeah, the book Okay,

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Speaker 1: so the poisoning book, Yes, the poisons handbooks, sandbook that

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Speaker 1: she left your kill their lame husbands who never see

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Speaker 1: it coming. Yes, women with two children who kill their husbands.

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Speaker 1: Your husband wants more sneakers? How to poison him with

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Speaker 1: plants that might be around your house. Tell your husband

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Speaker 1: it's okay to chew on plants that are around the house.

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Speaker 1: It's fine, it's fine. No, I didn't say poison berry.

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Speaker 1: I said poison berry. I do like the implication that

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Speaker 1: I'm just randomly chewing on plants. She's like, yeah, sure,

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Speaker 1: go ahead, yea. How to poison your dumb husband? The

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Speaker 1: dumbies poisoning your dumb husband from I do want? I

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Speaker 1: do like that. That feels sexist to me, to like

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Speaker 1: differentiate women who kill from men who kill. Anybody can

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Speaker 1: kill the man. Anybody can kill I know from men.

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Speaker 1: I gotta say, I'm watching I'm rewatching the staircase with

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Speaker 1: my wife right now, just to let her know what's up.

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Speaker 1: You know. Yeah, you don't get my owl gang on you,

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Speaker 1: but I I do buy the owl theory. Uh. And

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Speaker 1: I think I'm slowly pulling her over to my side.

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Speaker 1: I'm al gay, Okay, are you guys saying owl owl?

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Speaker 1: Have you seen the staircase? Uh? You gotta you gotta

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Speaker 1: check it out. But they're involving push somebody your staircase.

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Speaker 1: Possibly did an owl stab somebody with an icicle? And

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Speaker 1: then down the staircase was the mother Okay, my friend

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Speaker 1: who is a writer had to recently do an unconscious

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Speaker 1: biased training at work, and it included the the surgeon

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Speaker 1: is the mother riddle? Genuinely work, it is AD agency

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Speaker 1: ad agency agency. Okay, I better unconscious biased training than this.

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Speaker 1: Who are the ad wizards who came up with that one? Yeah,

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Speaker 1: that's what they're working on. Now. All right, let's uh

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Speaker 1: tell the people what we're talking about today. Then, well,

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Speaker 1: I mean it's gonna be the same thing for a

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Speaker 1: little while here. We're gonna talk about how our democracy

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Speaker 1: is going to uh be just in rubble uh fairly soon.

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Speaker 1: We'll talk about Trump being just surprised that people aren't

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Speaker 1: responding better to his race war provocations. We'll talk about

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Speaker 1: how the latest sign that America works and capitalism works

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Speaker 1: is that advertisers are treating the upcoming like just you know,

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Speaker 1: the worst time in U S history for our democracy,

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Speaker 1: like it's a NBA playoff going to game seven, going

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Speaker 1: to game fifteen. Yes, Uh, we're gonna talk about Trump,

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Speaker 1: why why he is so good at being a leader

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Speaker 1: with regards to his interactions, his secret letters from and

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Speaker 1: to Kim jong oon uh. And then we'll do some

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Speaker 1: brain bleach about Subway, about Borat, about Jimmy Carter, about

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Speaker 1: brand logos, all of that plenty more. But first, Sergin,

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

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Speaker 1: your search history that is revealing about who you are.

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Speaker 1: I recently searched for the movie Velvet gold Mine. Which

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Speaker 1: have you seen this movie? Either of you? No, No,

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Speaker 1: I know, but I've not seen it though, Okay, but

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Speaker 1: you know of it right? So it's it's it's movie

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Speaker 1: by Todd Haynes, director of Safe and uh Carol um

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Speaker 1: other Yeah, it's great, um and uh. So I had

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Speaker 1: heard that he made a movie called Velvet gold Mine

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Speaker 1: about um, glitter rock, glam rock, and I was like great.

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Speaker 1: I heard it was it was a queer classic, and

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Speaker 1: I was like great, And um, I had I had

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Speaker 1: heard about this movie and I've had this movie in

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Speaker 1: my mind for many years of like, it's Todd Hands's

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Speaker 1: glam rock movie. I read the Wikipedia article for it,

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Speaker 1: so I had I thought that I knew what the

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Speaker 1: movie was about. Recently, I watched the movie and I

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Speaker 1: was like, there was something in here that was not

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Speaker 1: mentioned in anything that I read about it, which granted,

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Speaker 1: was not a lot right. But the plot of the movie,

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Speaker 1: according to Wikipedia, is set in four British journalist Arthur

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Speaker 1: Stewart is writing an article about the withdrawal from public

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Speaker 1: life of nineteen seventies glam rock star Brian Slade following

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Speaker 1: a death hoax ten years earlier, and is interviewing those

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Speaker 1: who had a part in the entertainer's career. As each

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Speaker 1: person recalls their thoughts, it becomes the introduction of the

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Speaker 1: vignette for that particular segment in Slade's personal and professional life.

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Speaker 1: Pretty clear cut. I feel like I can envision what

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Speaker 1: I'm about, feel like you can in vision you're about

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Speaker 1: to see. And yet I start this movie and one

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Speaker 1: of the first things that happens is that an alien

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Speaker 1: UFO comes down from outer space and gives baby Oscar

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Speaker 1: Wilde a gemstone that makes him gay. That's literally the

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Speaker 1: first sequence in the movie, and it's not mentioned anywhere.

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Speaker 1: Like thenomenical line of this movie is that is that,

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Speaker 1: like in the film, it is implied, heavily implied that

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Speaker 1: David Bowie essentially you know that the message of this

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Speaker 1: movie is that David Bowie and other glam rock stars

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Speaker 1: and these characters Bryan, Sladen, Kurt While are incarnations of

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Speaker 1: different aliens, and those aliens become rock stars. That rock

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Speaker 1: stars are literally aliens. This is a big I mean,

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Speaker 1: it's cool, there's no problem. I'm just saying I would

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Speaker 1: have watched this movie a lot earlier if I knew

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Speaker 1: that dope makes this sound so fucking dopefectual. I thought

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Speaker 1: we're about it. It was like an almost famous type

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Speaker 1: vibe based on you were talking about, Okay, this makes sense,

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Speaker 1: and now you're like, no, no, no, we're going deeper

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Speaker 1: than that. That's what I'm saying. This movie was marketed

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Speaker 1: to me by the Internet and it just left out.

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Speaker 1: And then I went and I looked on letterbox, and

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Speaker 1: every every review on Letterbox mentions the aliens. So I'm like, okay,

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Speaker 1: thank god because I watched it and I was And

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Speaker 1: then I went and looked at the Wikipedia again and

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Speaker 1: I was like, how high was I watching this movie? Right?

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Speaker 1: There's aliens in it? Right? I felt crazy? So yeah,

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Speaker 1: and that's why I was looking up Velvet gold Mine

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Speaker 1: because I was like special aliens eyes, very special alien surprise. Honestly,

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Speaker 1: you know, I wasn't I wasn't expecting it. And it's

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Speaker 1: rare that you see a movie that you think you

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Speaker 1: know what it's about and it's like something just totally yeah. Yes,

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Speaker 1: especially nowadays with the spoilers and your wikipedias and your

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Speaker 1: trailer releases. Yeah, anyway, they should have like content warnings

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Speaker 1: that aren't like warnings for like sex, nudity, violence, but

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Speaker 1: things like UFOs or aliens are like ship that would

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Speaker 1: make me want to check it out, you know, positive content, yeah,

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Speaker 1: positive content warnings, content promises, yes, like an ingredient list

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Speaker 1: like some misogyny, some sci fi tags, lasers, okay, like okay,

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Speaker 1: I think I'm working with this, and then you just

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Speaker 1: click on the UFOs tag and you're like, this movie

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Speaker 1: has a UFO in it, you know, right at some point,

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Speaker 1: you know, right, getting anything away to say like trippy

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Speaker 1: something it would be good on weed. Uh yeah, that's

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Speaker 1: I think that's that's every movie. Yeah, exactly. Or some

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Speaker 1: people like no, yeah, what is something you think is overrated?

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Speaker 1: Sorry to um this election very overrated. I've been enjoying it.

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Speaker 1: It's my favorite one. I keep hearing that it's a

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Speaker 1: big one, but I don't think it's really I don't

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Speaker 1: think it's really I think it's gonna flop. I think

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Speaker 1: it's gonna open umber. It's not gonna do numbers. Yeah,

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Speaker 1: people just aren't going to really pay attention and be like, oh,

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Speaker 1: who did win that? Actually? Yeah, I mean oh sorry, sorry, sorry, sorry,

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Speaker 1: I think I remember who one now private prisons, That's

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Speaker 1: who won the whole Like, you know, you look at

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Speaker 1: the numbers of like who people are planning to vote

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Speaker 1: for after the debate, like you know, after the debate,

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Speaker 1: who do you want to vote for? And it's like,

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Speaker 1: you know, Biden has more has better numbers than Trump,

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Speaker 1: but you know who has even better numbers not voting?

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Speaker 1: Most people are voting for not voting. And that's that's

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Speaker 1: what makes me think. You know, I don't think people

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Speaker 1: are going to come out and see this movie, you know,

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Speaker 1: especially with with COVID. Yeah, I mean they wouldn't even

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Speaker 1: see Tenant. Uh what are they going? Yeah, I don't know.

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Speaker 1: Zekegang is gonna go out and vote. They're gonna go

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Speaker 1: vote this cheeto clown out office thought to do your

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Speaker 1: thing vote, But you know, you're saying, what's the room

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Speaker 1: look like? Though? Is everybody on the same page? Because

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Speaker 1: this is how it was last time, where it's like

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Speaker 1: the people who get it are like, yep, don't write,

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Speaker 1: I understand. And then there's a whole every election they

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Speaker 1: say there's so many people across the country who don't vote.

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Speaker 1: It's so terrible, it's so terrible not to vote. And

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Speaker 1: then every fucking election they spend a bunch of money

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Speaker 1: on get out the vote. Everybody's telling their friends to vote.

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Speaker 1: We're all doing the thing right, the thing you're supposed

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Speaker 1: to do. And then the election comes around and still

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Speaker 1: a lot of people aren't voting. Who are these people

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Speaker 1: that aren't voting. I mean, there's there's a lot of them, Jack,

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Speaker 1: There's a lot of different reasons, but like that's who's

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Speaker 1: that's what's winning, is not voting, because voting like you know, well,

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Speaker 1: you know, people haven't quite put together the cause and

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Speaker 1: effect or anything. And if you're in a situation where

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Speaker 1: you don't see any prospects of improvement, you're like, how

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Speaker 1: does that do something? Because I'm dying. And then you're

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Speaker 1: telling me if I punch a hole in this thing,

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Speaker 1: i might get health insurance. I mean, I'll say this,

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Speaker 1: I'm not old, but I've seen a number of presidential

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Speaker 1: elections that is, you know, more than four, and every

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Speaker 1: single one has been exactly the same. So I'm sixteen.

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Speaker 1: I'm sixteen years old, and I'm I have a lot

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Speaker 1: of experience. I've I've witnessed. I guess how I know.

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Speaker 1: I want to see how many it is. I guess

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Speaker 1: it would be was born in So when was the

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Speaker 1: six sixteen to this is my eighth presidential election. Yeah,

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Speaker 1: and as a two year old, you were actually supporting

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Speaker 1: Ross Perol. I remember, Um, I know I was a

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Speaker 1: native supporter as a two year old. Oh, he just

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Speaker 1: paid you to do that one ad and you I

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Speaker 1: remember you were saying you regret it, but him kiss

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Speaker 1: me on the cheek. Um, yeah, it did numbers. It

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Speaker 1: did numbers. Uh. What is something you think is underrated? Um?

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Speaker 1: Racially specific memes? I I am on TikTok recently, and um,

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Speaker 1: you know, I told TikTok that I like Persian memes

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Speaker 1: and uh, now I see a lot of Persian memes

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Speaker 1: and I really enjoy them, even the bad ones. Um,

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Speaker 1: they make me feel good and sometimes I don't know,

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Speaker 1: even when they're bad, I just like seeing other Persian

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Speaker 1: pupils that were no. I think it's how good are

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Speaker 1: the means? Are they hidden? They? I mean they vary wildly.

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Speaker 1: Um there is uh it's like but it's funny because

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Speaker 1: like with TikTok, there there is such a um trend

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Speaker 1: on TikTok of talking about your your minority, race or

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Speaker 1: culture or ethnicity. Um, we're talking about your nationality. And

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Speaker 1: maybe this is because I also follow a lot of

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Speaker 1: language TikTok Like I follow a lot of people who

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Speaker 1: teach different languages on TikTok, especially languages that like, you know,

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Speaker 1: I follow a guy who's like, I'm learning Nathel and

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Speaker 1: I'm like, okay, great, that's not something I can find

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Speaker 1: on duo lingo. You know, Um cool to learn some

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Speaker 1: words in or uh and um, all these people like

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Speaker 1: I follow like a lot of indigenous TikTok um and

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Speaker 1: I don't know why, but I think that it is

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Speaker 1: a and I think it is an algorithm thing. Did

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Speaker 1: you guys? Are you guys on TikTok? I had to

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Speaker 1: quit it was too much. I was taking into talking

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Speaker 1: you know, and completely you know, doctor said to get

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Speaker 1: off of there. Uh no, I meant said talking more

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Speaker 1: taking Uh yeah, I saw. I always like I just

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Speaker 1: I just like go on the subreddits that will like

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Speaker 1: filter them out, like very specifically, because I just really

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Speaker 1: find myself. I get I'm so susceptible to time traveling

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Speaker 1: through staring at a phone screen, and I'm just doing

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Speaker 1: everything I can to like be like do I have

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Speaker 1: a text message or a phone call or work email

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Speaker 1: like things that I need to address and that I'm like, yeah, await,

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Speaker 1: yeah that's but yes, but long story short, no, I'm

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Speaker 1: not on the talk. I mostly experienced it through. Uh

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Speaker 1: my wife is really into it, and she's she's really

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Speaker 1: into these like poising her husband Twitter like me and

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Speaker 1: that I don't. It's like these those like those overhead

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Speaker 1: cam videos their recipes, I think, but we're always dealing

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Speaker 1: with like apple seeds and a lot of apple seeds. Yeah,

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Speaker 1: is that normal? That's that's pretty popular, right, Like that's

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Speaker 1: like just platform was poisoning. It's like hashtag cottage core,

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Speaker 1: hashtag poisoning your husband, hashtag herbal remedies. Yeah, she follows

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Speaker 1: annoying husbands who don't know how to stop buying sneakers.

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Speaker 1: Uh yeah, yeah, she follow your husband sneakers into poisons.

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Speaker 1: That one. That one TikTok account at um or senic

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Speaker 1: I think is what it is. Jack, I think it's

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Speaker 1: arsenic and the at symbols just the A. But what

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Speaker 1: what's your favorite like TikTok meme or per or performer?

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Speaker 1: What's your favorite TikTok character? My favorite TikTok memes right

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Speaker 1: now are the sacrifice my life for Pakistan meme, which

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Speaker 1: is great. To sacrifice my own life for Pakistan is great? Uh?

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Speaker 1: And um the other TikTok or oh the other thing

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Speaker 1: I really like on TikTok. I'm so cheesy now. I'm

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Speaker 1: so fucking cheesy on social media. I like every any

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Speaker 1: cover of wap, any whap but make it jazz, any

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Speaker 1: you know, wet but make it Robert Smith but make

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Speaker 1: it whatever. I'll listen to any of it. It's all good.

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Speaker 1: The song holds up in every format. I saw a

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Speaker 1: thirteen year old boy do wap but make it jazz

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Speaker 1: and the video TikTok is to me at this point, Yes,

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Speaker 1: it's it's the circus we demand as the empire grumbles.

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Speaker 1: It is and you know, I know it's taken all

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Speaker 1: my data and I just don't care anymore. I've lost

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Speaker 1: it man, I've lost control. What am I gonna do?

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Speaker 1: You know what am I gonna do? They're like, they're like, honestly,

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Speaker 1: we don't know how useful her data is anymore. It's

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Speaker 1: just the government can see all the Persian memes. I like, okay, right,

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Speaker 1: They're like, okay, if this person has fully just gone

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Speaker 1: and retreated into the warm bath of of online videos, yeah,

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Speaker 1: the warm bath of like oh remember when your mom

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Speaker 1: would be like, you know, it's like tranquil content but

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Speaker 1: for Persian. Uh. And finally, what's a myth? What's something

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Speaker 1: people think it's true? You know to be false? I guess, um, okay,

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Speaker 1: I'll do I'll do A do A sad one. Okay,

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Speaker 1: here's something, um that uh, a myth that I know

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Speaker 1: to be false. Um. The myth is that, um, Brianna's

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Speaker 1: Taylor's murderers have been arrested, and it's true a false

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Speaker 1: Actually nothing happened to them. Yeah, they got they got

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Speaker 1: charged for shooting into another apartment. Yeah, but they're fine. Yeah.

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Speaker 1: And even then it was like okay, and well we'll

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Speaker 1: see what I mean. I'm still curious what is still

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Speaker 1: going on with Daniel Cameron and all of the grand

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Speaker 1: jury whatever happened into there. Uh, didn't he ask for

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Speaker 1: an extra week or something to like get his ship

381
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Speaker 1: straight before he shared? Yeah, I mean right now, there's

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00:24:09,280 --> 00:24:13,600
Speaker 1: a lot out now that shows he misled. Uh. It

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Speaker 1: was very misleading, very very misleading, to the point where

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Speaker 1: they're even people in that grand jury who were like,

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00:24:19,080 --> 00:24:21,399
Speaker 1: I need to like say something because this is like

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Speaker 1: of public importance that people know what my you know,

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Speaker 1: experience was like and on that grand jury. Uh, yeah,

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00:24:29,080 --> 00:24:30,600
Speaker 1: I guess that's you know, the myth is sort of

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Speaker 1: like that. You know, even after we have people in

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00:24:33,359 --> 00:24:37,359
Speaker 1: Kent take cloth in the capital, Yeah, it's weird. Had

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00:24:37,400 --> 00:24:39,760
Speaker 1: nothing changed after that. I mean, we got a bill

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Speaker 1: banning the photographs of dead bodies by first responders quicker

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00:24:44,440 --> 00:24:46,720
Speaker 1: than we had anything else. Like, Yeah, I was really

394
00:24:46,760 --> 00:24:49,840
Speaker 1: hoping that um laws Vanessa Bryant suited the l A

395
00:24:49,920 --> 00:24:54,600
Speaker 1: Sheriff's Department, um and that that went very quickly. Um

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Speaker 1: And I kind of wish it had lasted for a

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Speaker 1: lot longer because there are a lot of other things

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00:24:58,880 --> 00:25:02,040
Speaker 1: that a citizen and with time and money, could soothe

399
00:25:02,080 --> 00:25:06,040
Speaker 1: them for. Right. Uh, we keep having these protests and

400
00:25:06,119 --> 00:25:09,000
Speaker 1: they keep shooting people like just all across the state.

401
00:25:09,200 --> 00:25:12,200
Speaker 1: You know. Um, yeah, the l A Sheriff's Department is

402
00:25:12,520 --> 00:25:15,080
Speaker 1: is not backing down. They're still beating the ship out

403
00:25:15,119 --> 00:25:17,600
Speaker 1: of protesters. I guess you know. That's that's a myth,

404
00:25:17,880 --> 00:25:20,879
Speaker 1: is that the police have changed it all after um

405
00:25:21,240 --> 00:25:27,840
Speaker 1: the onslaught of protests for the plus man just more July, August, September,

406
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Speaker 1: four months and petulant toddlers with guns. They're just like mad,

407
00:25:32,480 --> 00:25:36,000
Speaker 1: and it's just perpetuating and perpetuating an escal That's why

408
00:25:36,119 --> 00:25:37,840
Speaker 1: if you're in l A, you should there is a

409
00:25:37,880 --> 00:25:39,560
Speaker 1: reason to give a funk about the vote, because there's

410
00:25:39,560 --> 00:25:40,960
Speaker 1: a lot of local ship you could vote on that

411
00:25:40,960 --> 00:25:44,000
Speaker 1: will help directly with that, Like and you could actually

412
00:25:44,040 --> 00:25:46,119
Speaker 1: take a big bite out of the Sheriff's department budget

413
00:25:46,160 --> 00:25:49,000
Speaker 1: and put that into direct community funding. Uh. You know,

414
00:25:49,400 --> 00:25:53,679
Speaker 1: a lot of progressive candidates running for various district Assembly

415
00:25:53,760 --> 00:25:56,719
Speaker 1: and representative positions, um, like more, you know, more than

416
00:25:56,960 --> 00:25:59,600
Speaker 1: more than last election. So it's a very good time

417
00:25:59,680 --> 00:26:03,720
Speaker 1: to check out your local races. Get local, y'all, Get local,

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00:26:04,080 --> 00:26:07,080
Speaker 1: Get local, because yeah, the presidential one, I just don't

419
00:26:07,119 --> 00:26:09,320
Speaker 1: know if that's really going anywhere. I don't see sequel

420
00:26:09,320 --> 00:26:12,880
Speaker 1: potential in that. I mean, I don't know we're gonna

421
00:26:12,920 --> 00:26:14,560
Speaker 1: really bring this I p back out and ring it

422
00:26:14,640 --> 00:26:16,639
Speaker 1: out for another one. I don't see. I don't know,

423
00:26:16,920 --> 00:26:20,240
Speaker 1: we'll see. Are the kids want to character? You don't

424
00:26:20,240 --> 00:26:25,800
Speaker 1: even have new characters? Yeah? Like have a baby? Right well? Yeah, yeah,

425
00:26:25,960 --> 00:26:27,920
Speaker 1: you want the baby, but then you have to immediately

426
00:26:27,960 --> 00:26:30,400
Speaker 1: forget about the baby or like have the baby disappear,

427
00:26:30,880 --> 00:26:34,920
Speaker 1: right right? Yeah, exactly? Um, alright, you know all about

428
00:26:34,960 --> 00:26:39,160
Speaker 1: disappearing babies, don't you, Jack, Well, who's on trial. I'm

429
00:26:39,160 --> 00:26:43,040
Speaker 1: not on trial here, You're you're disappearing baby. I gotta

430
00:26:43,080 --> 00:26:46,359
Speaker 1: go an email from your wife. It's got an email

431
00:26:46,400 --> 00:26:50,200
Speaker 1: from your wife about about you know, various herbal poisons.

432
00:26:50,880 --> 00:26:53,960
Speaker 1: She keeps sending them to me. And I'm like, not

433
00:26:54,040 --> 00:26:59,160
Speaker 1: even friends are downing tea contest right now. And Mike,

434
00:27:01,520 --> 00:27:04,600
Speaker 1: all right, I gotta actually take some epocap because I'm

435
00:27:04,680 --> 00:27:06,800
Speaker 1: just realizing that some of the stuff my wife femiar

436
00:27:06,880 --> 00:27:10,000
Speaker 1: earlier might not have been kosher. So we'll be right back,

437
00:27:20,320 --> 00:27:24,440
Speaker 1: and we're back, and all right, let's dig into the

438
00:27:24,480 --> 00:27:29,159
Speaker 1: ship pile for one act and one act only. So

439
00:27:29,760 --> 00:27:36,159
Speaker 1: Trump seems to be surprised that people haven't responded positively

440
00:27:36,240 --> 00:27:39,720
Speaker 1: in the suburbs to his calls for a race war,

441
00:27:39,880 --> 00:27:43,359
Speaker 1: essentially for his calls or or his inability to at

442
00:27:43,440 --> 00:27:48,600
Speaker 1: least denounce white supremacy and and the Proud Boys. Yeah,

443
00:27:49,359 --> 00:27:53,080
Speaker 1: for someone who has said out loud he's basically gonna

444
00:27:53,200 --> 00:27:55,480
Speaker 1: try and everything he can do to invalidate the results

445
00:27:55,520 --> 00:27:57,959
Speaker 1: of the election. I'm surprised he cares so much about polls,

446
00:27:58,160 --> 00:27:59,520
Speaker 1: because what the fund does it matter if you're not

447
00:27:59,520 --> 00:28:03,119
Speaker 1: gonna whatever the outcome is. Uh So when he stopped

448
00:28:03,160 --> 00:28:07,800
Speaker 1: in Minnesota to just do more fucking racism, uh, this

449
00:28:07,960 --> 00:28:12,639
Speaker 1: time to whip up fear about Somali immigrants or ilhan Omar,

450
00:28:13,280 --> 00:28:15,639
Speaker 1: he like got on this thing about the suburbs and

451
00:28:15,800 --> 00:28:18,119
Speaker 1: like how his logic works about how he's like, well,

452
00:28:18,200 --> 00:28:20,399
Speaker 1: I kept poor people out, but I'm getting crushed in

453
00:28:20,480 --> 00:28:23,040
Speaker 1: the suburbs. The fuck is wrong with you all um?

454
00:28:23,200 --> 00:28:25,840
Speaker 1: And he he really is struggling to wrap his mind

455
00:28:25,920 --> 00:28:29,879
Speaker 1: around it. Uh. And again this is how uh the

456
00:28:29,960 --> 00:28:32,840
Speaker 1: simple logic of ignorant racists. But you know they talk

457
00:28:32,880 --> 00:28:36,040
Speaker 1: about the suburbs, women in the suburbs. I ended a

458
00:28:36,119 --> 00:28:41,080
Speaker 1: regulation that nobody would have done. This brings public housing,

459
00:28:41,280 --> 00:28:43,520
Speaker 1: low income housing into the suburbs. And by the way,

460
00:28:43,520 --> 00:28:47,080
Speaker 1: I just so we can get this right. Of the

461
00:28:47,200 --> 00:28:51,360
Speaker 1: people in the suburbs are low income people, of the

462
00:28:51,400 --> 00:28:55,800
Speaker 1: people in the suburbs are minorities. That's okay, that's that

463
00:28:56,000 --> 00:28:59,320
Speaker 1: was that was elegant. Do do, go on, to do,

464
00:28:59,520 --> 00:29:03,000
Speaker 1: go on. And so we're ruining this American dream for everybody.

465
00:29:03,080 --> 00:29:05,920
Speaker 1: But he's got a plan. It's the worst thing you've

466
00:29:05,920 --> 00:29:09,080
Speaker 1: ever seen having to do with zoning. They zone you out,

467
00:29:09,560 --> 00:29:12,959
Speaker 1: they build low income housing next to your house. It's crazy.

468
00:29:13,080 --> 00:29:15,760
Speaker 1: And then I hear I'm not doing well in the suburbs.

469
00:29:16,080 --> 00:29:18,640
Speaker 1: I'm not doing well in the suburbs. Are you people crazy?

470
00:29:19,280 --> 00:29:24,440
Speaker 1: Are you crazy? What the here is this audio from

471
00:29:24,600 --> 00:29:29,680
Speaker 1: nineteen seven? And even then, like fucking George Wallace is like, bro, whoa,

472
00:29:29,720 --> 00:29:34,640
Speaker 1: whoa easy. He sounds like he just took a tranquilizer.

473
00:29:34,920 --> 00:29:36,560
Speaker 1: First of all, Yeah, this is the most old man

474
00:29:36,640 --> 00:29:38,720
Speaker 1: ship I've ever heard. And then I feel like I

475
00:29:38,840 --> 00:29:40,440
Speaker 1: was just walking This is how men talked to me

476
00:29:40,560 --> 00:29:47,680
Speaker 1: on the street, you know yo he yeah, did somebody

477
00:29:47,760 --> 00:29:52,280
Speaker 1: record this man walking down the sidewalk alone? Right here?

478
00:29:52,320 --> 00:29:56,080
Speaker 1: You tell me how I'm not doing well? It turns

479
00:29:56,080 --> 00:29:59,960
Speaker 1: into weird Mark Wahlberg, I kept the low income housing.

480
00:30:00,800 --> 00:30:04,840
Speaker 1: I'm getting killed in the suburbs. Bro. Really it's but again,

481
00:30:05,160 --> 00:30:07,160
Speaker 1: this is the thing, like his logic was, Okay, so

482
00:30:07,440 --> 00:30:10,400
Speaker 1: all white women in the suburbs think black and brown

483
00:30:10,560 --> 00:30:14,640
Speaker 1: people equal poor, poor equals shitty. Not also not even

484
00:30:14,680 --> 00:30:18,160
Speaker 1: concerning for the fact of the possibility that many white

485
00:30:18,200 --> 00:30:22,120
Speaker 1: people might also be poor. Uh isn't that Trump's whole

486
00:30:22,480 --> 00:30:26,200
Speaker 1: supposed base. Yeah, but if that's why people are like

487
00:30:26,600 --> 00:30:29,280
Speaker 1: he does because us Well, and we talked about how

488
00:30:29,360 --> 00:30:31,360
Speaker 1: this like there's just an inability of Americans like to

489
00:30:31,520 --> 00:30:34,000
Speaker 1: accept that they are poor. And I think that's why

490
00:30:34,080 --> 00:30:36,760
Speaker 1: we have such a hard time moving forward, because we've assigned,

491
00:30:36,960 --> 00:30:39,400
Speaker 1: you know, culturally and media wise, there's all this like

492
00:30:40,000 --> 00:30:43,120
Speaker 1: bullshit shame attached to not having money, when really this

493
00:30:43,280 --> 00:30:46,040
Speaker 1: is just a byproduct of you know, this country that

494
00:30:46,120 --> 00:30:50,200
Speaker 1: we live in, but more prescribed by who, like where

495
00:30:50,240 --> 00:30:56,040
Speaker 1: you're born than like most other countries. Yeah yeah, um,

496
00:30:56,280 --> 00:30:59,560
Speaker 1: so yes, going on to just push this narrative like

497
00:30:59,600 --> 00:31:02,320
Speaker 1: well like apped them out. And but here's the thing,

498
00:31:02,640 --> 00:31:04,240
Speaker 1: I don't white women in the service. I don't know

499
00:31:04,240 --> 00:31:07,080
Speaker 1: if you've heard me. I'm keeping poor people out. And also,

500
00:31:07,160 --> 00:31:08,840
Speaker 1: I'm going to say, a bunch of wild racist ship,

501
00:31:08,920 --> 00:31:11,920
Speaker 1: why isn't this working? What era have I found myself in?

502
00:31:12,160 --> 00:31:16,280
Speaker 1: Do I need to time travel? I think it's very

503
00:31:16,360 --> 00:31:20,800
Speaker 1: funny that he's calling out the fact that he that

504
00:31:20,920 --> 00:31:22,920
Speaker 1: the reason people voted for him was that he would

505
00:31:23,000 --> 00:31:25,360
Speaker 1: keep minorities out of their white neighborhoods. And he's like,

506
00:31:25,480 --> 00:31:27,840
Speaker 1: I did what I said I would do, so you

507
00:31:27,920 --> 00:31:29,680
Speaker 1: got to vote for me again. I can't believe you're

508
00:31:29,720 --> 00:31:31,920
Speaker 1: not saying you're gonna vote for me again. The whole

509
00:31:31,960 --> 00:31:34,920
Speaker 1: thing I ran on was white supremacy and you loved it,

510
00:31:35,280 --> 00:31:41,360
Speaker 1: and I did it. Like look, yeah, he honestly doesn't

511
00:31:41,400 --> 00:31:51,360
Speaker 1: get enough credit. Yeah, credit for keeping his promises. And

512
00:31:51,600 --> 00:31:54,560
Speaker 1: I love how he had to translate the fucking dog

513
00:31:54,640 --> 00:31:58,360
Speaker 1: whistle to full blown Americans screaming like it was like

514
00:31:59,520 --> 00:32:01,920
Speaker 1: low income. I mean, let's get let's get it straight here,

515
00:32:02,840 --> 00:32:08,640
Speaker 1: not white Okay, So he said, like I will protect

516
00:32:08,680 --> 00:32:11,040
Speaker 1: you from them. Is that why he brought that statistic up?

517
00:32:11,160 --> 00:32:12,840
Speaker 1: Is that? Yeah, because that's the whole thing is just

518
00:32:12,920 --> 00:32:16,840
Speaker 1: sort of like you know, uh, are are are not

519
00:32:17,000 --> 00:32:21,760
Speaker 1: white and move into your suburb, then therefore danger Will Robinson. So,

520
00:32:22,800 --> 00:32:25,240
Speaker 1: but that's where they're they're they're just that's why so

521
00:32:25,320 --> 00:32:27,520
Speaker 1: many people in the campaign like, dude, we tried trying

522
00:32:27,560 --> 00:32:30,200
Speaker 1: to do other like more nuanced racist ship, but he

523
00:32:30,360 --> 00:32:32,320
Speaker 1: he just loves this one. He likes to drink the

524
00:32:32,360 --> 00:32:36,000
Speaker 1: cold brew concentrate straight up. You can't get him to stop.

525
00:32:36,800 --> 00:32:40,440
Speaker 1: He So, I mean that post debate, it seems like

526
00:32:40,560 --> 00:32:43,760
Speaker 1: his numbers have gone down and he needed like a

527
00:32:43,880 --> 00:32:47,480
Speaker 1: big change, like after the debate. They haven't gone like

528
00:32:47,600 --> 00:32:51,120
Speaker 1: way down, but they've gone slightly down, and approval ratings

529
00:32:51,160 --> 00:32:55,880
Speaker 1: the hyacinths may Now I know that's confusing to me, um,

530
00:32:56,440 --> 00:33:00,320
Speaker 1: but I just people are pointing out that the his

531
00:33:00,480 --> 00:33:05,080
Speaker 1: polls get, the more likely we're going to see something

532
00:33:06,440 --> 00:33:12,840
Speaker 1: extra judicial, extra you know, more than we are, Like more, yeah,

533
00:33:12,880 --> 00:33:14,560
Speaker 1: more than we are, Like he's going to follow through

534
00:33:14,600 --> 00:33:17,480
Speaker 1: on this ship that we no like we know what's

535
00:33:17,520 --> 00:33:24,080
Speaker 1: going to happen, right, Like it's like the easiest person

536
00:33:24,160 --> 00:33:25,960
Speaker 1: to play like one on one with. He's like, I'm

537
00:33:25,960 --> 00:33:28,840
Speaker 1: gonna go right, I'm right, and I'm gonna pump fake

538
00:33:29,200 --> 00:33:30,959
Speaker 1: and then if you don't go for that, I may

539
00:33:31,000 --> 00:33:33,920
Speaker 1: try to fade away. Ready and three one two three,

540
00:33:34,000 --> 00:33:37,200
Speaker 1: going right the pump fake Nope, made away. You blocked it,

541
00:33:37,440 --> 00:33:42,520
Speaker 1: damn it. But like fucking everybody else, like the media

542
00:33:42,640 --> 00:33:46,120
Speaker 1: is like, yo, this Trump guy sucks. This guy's out

543
00:33:46,160 --> 00:33:49,400
Speaker 1: of control. Like where the funk have y'all been? It

544
00:33:49,520 --> 00:33:51,520
Speaker 1: just shows these people are too insulated. They don't know

545
00:33:51,720 --> 00:33:55,440
Speaker 1: enough people who are experiencing the pain and horror of

546
00:33:55,560 --> 00:33:57,720
Speaker 1: what this administration is inflicting on people. And they're like,

547
00:33:57,880 --> 00:34:00,680
Speaker 1: I don't know. It doesn't get to me at like

548
00:34:00,840 --> 00:34:03,400
Speaker 1: my five star restaurants I eat at every night. It's weird.

549
00:34:04,280 --> 00:34:08,880
Speaker 1: He's losing by more at this point than anyone since

550
00:34:08,960 --> 00:34:13,800
Speaker 1: Bob Dole uh in the election, according to eight and

551
00:34:13,840 --> 00:34:17,959
Speaker 1: like a blended average of poles. But there's delicious. There's

552
00:34:18,120 --> 00:34:25,120
Speaker 1: just no he accepts defeat. There's clips of him saying, like,

553
00:34:25,360 --> 00:34:27,680
Speaker 1: the only way I lose is if it's rigged where

554
00:34:27,800 --> 00:34:32,360
Speaker 1: where He's like, would need a massive, like drastic something

555
00:34:32,520 --> 00:34:36,120
Speaker 1: like the Bond villain who like traps Bond and has

556
00:34:36,239 --> 00:34:38,800
Speaker 1: him over a shark tank. And then he's like, instead

557
00:34:38,840 --> 00:34:41,480
Speaker 1: of just dropping him into the shark tank, he's lays

558
00:34:41,480 --> 00:34:44,719
Speaker 1: out his whole plan and you're like, why would you

559
00:34:44,840 --> 00:34:47,319
Speaker 1: just why would you tell him the whole plan he's

560
00:34:47,360 --> 00:34:51,640
Speaker 1: told he's telling us his whole plan right now. He's

561
00:34:51,680 --> 00:34:55,440
Speaker 1: telling his followers, I think to get ready because like

562
00:34:55,600 --> 00:34:58,560
Speaker 1: I think that's where you know bar is also doing it.

563
00:34:58,680 --> 00:35:01,920
Speaker 1: He's telling Fox News is uh to you know, get

564
00:35:02,000 --> 00:35:06,200
Speaker 1: ready to ramp up the election fraud. Uh you know

565
00:35:06,400 --> 00:35:11,879
Speaker 1: story manufacturing machine. Uh. Like William Barrow was has said

566
00:35:11,960 --> 00:35:14,719
Speaker 1: that in interviews that election fraud is like something that

567
00:35:14,800 --> 00:35:17,360
Speaker 1: they're going to have to deal with. Trump has said, like,

568
00:35:17,440 --> 00:35:21,240
Speaker 1: the only way he loses if it's rigged. Um, there's

569
00:35:21,320 --> 00:35:27,040
Speaker 1: just no version of reality where they except an election loss.

570
00:35:27,440 --> 00:35:29,920
Speaker 1: Just there he is who got to watch the secret Man.

571
00:35:30,080 --> 00:35:32,840
Speaker 1: We just envisioned it. That's what it seems like the

572
00:35:33,200 --> 00:35:36,399
Speaker 1: And that's what worries me. That's what like there. There's

573
00:35:36,480 --> 00:35:40,200
Speaker 1: kind of feeling used to strongly envisioned Biden in any

574
00:35:40,239 --> 00:35:42,640
Speaker 1: way in my mind. I will not picture his face,

575
00:35:42,719 --> 00:35:44,600
Speaker 1: and you cannot force me to. I will not look

576
00:35:44,640 --> 00:35:48,400
Speaker 1: at his picture, either outside or inside my mind's eye. Oh.

577
00:35:48,480 --> 00:35:51,480
Speaker 1: I look at it every night on my pillow. Yeah,

578
00:35:51,640 --> 00:35:53,880
Speaker 1: and I haven't I haven't tucked into the corner of

579
00:35:53,920 --> 00:35:58,920
Speaker 1: my I don't like his face. I don't like this

580
00:35:59,520 --> 00:36:03,840
Speaker 1: give it a finger kiss and then uh have sweet dreams.

581
00:36:04,520 --> 00:36:07,719
Speaker 1: But no people are yeah, people acting like it the

582
00:36:07,840 --> 00:36:12,920
Speaker 1: ship can't go all the way left. Yeah, every everything

583
00:36:13,040 --> 00:36:15,400
Speaker 1: we've only seen it happen every time. It's like the

584
00:36:15,480 --> 00:36:17,680
Speaker 1: same pattern every time, every time, every time. Yeah, the

585
00:36:17,960 --> 00:36:20,560
Speaker 1: fact that people were surprised by the debate, the fact

586
00:36:20,600 --> 00:36:25,799
Speaker 1: that he interrupts was just by the debate. They mainstream

587
00:36:25,880 --> 00:36:29,600
Speaker 1: media acted like they were surprised. Chris Wallace, who was

588
00:36:29,600 --> 00:36:31,960
Speaker 1: supposed to be moderating the debate, acted like he was

589
00:36:32,080 --> 00:36:35,080
Speaker 1: When you cut to CNN, they're like, well, I can't

590
00:36:35,120 --> 00:36:37,719
Speaker 1: believe what just what we just witnessed. And it's just

591
00:36:37,840 --> 00:36:43,520
Speaker 1: like these are the people him than anyone. The mainstream

592
00:36:43,560 --> 00:36:47,480
Speaker 1: media and the mainstream Democrats are going to be the

593
00:36:47,600 --> 00:36:52,360
Speaker 1: people who are the resistance when he tries to, you know,

594
00:36:52,600 --> 00:36:56,200
Speaker 1: take over the election and like just uh, you know,

595
00:36:56,360 --> 00:37:00,960
Speaker 1: take over the country without you know, bit basically destroyed

596
00:37:01,120 --> 00:37:04,920
Speaker 1: democracy in the country. Like the resistance is going to

597
00:37:05,040 --> 00:37:08,560
Speaker 1: be Nancy Pelosi and Wolf Blitzer, and that is a

598
00:37:08,840 --> 00:37:14,840
Speaker 1: terrifying thing. Well you know where yours. Yeah, it's just

599
00:37:14,960 --> 00:37:18,920
Speaker 1: an overreliance on norms and like decorum and ship like

600
00:37:19,040 --> 00:37:21,160
Speaker 1: that that they see time and again, because even then

601
00:37:21,160 --> 00:37:24,360
Speaker 1: it's like, well, certainly he's gonna pull it together for

602
00:37:24,440 --> 00:37:29,880
Speaker 1: the debate, Like, oh he didn't, but well, certainly he

603
00:37:30,000 --> 00:37:32,680
Speaker 1: won't reject the outcome of another I mean, who would

604
00:37:32,719 --> 00:37:36,400
Speaker 1: do that except some craven, racist asshole who has the

605
00:37:36,480 --> 00:37:39,399
Speaker 1: most dire fear of prosecution when they leave office. Oh

606
00:37:39,560 --> 00:37:42,080
Speaker 1: my god, And he why didn't you know? Why don't

607
00:37:42,120 --> 00:37:44,560
Speaker 1: you know? Uh? And I think that's the things like

608
00:37:44,680 --> 00:37:47,640
Speaker 1: that's where you realize that for that's a luxury to

609
00:37:47,760 --> 00:37:51,080
Speaker 1: even rely on norms in situations like this. To have

610
00:37:51,280 --> 00:37:55,040
Speaker 1: that even be your escapism into norms or decorum or

611
00:37:55,120 --> 00:37:58,360
Speaker 1: these like the status quo just reveals that sort of

612
00:37:58,520 --> 00:38:01,680
Speaker 1: thought like these I guess mental privilege that you have

613
00:38:01,719 --> 00:38:04,360
Speaker 1: in terms of like how your imagination doesn't even occur,

614
00:38:04,600 --> 00:38:09,480
Speaker 1: that your your fucking entire ship could get crushed by

615
00:38:09,600 --> 00:38:13,239
Speaker 1: some asshole new like an entirely new kind of administration

616
00:38:13,280 --> 00:38:15,640
Speaker 1: that does not give a funk about anything that you

617
00:38:15,800 --> 00:38:18,440
Speaker 1: used to just to be like, yeah, I mean, it's

618
00:38:18,800 --> 00:38:23,440
Speaker 1: certainly that one this imaginary wall will hold up, like

619
00:38:23,640 --> 00:38:30,560
Speaker 1: the all of the dictators who like run other countries. No,

620
00:38:31,719 --> 00:38:34,680
Speaker 1: Like he's the easiest person to predict in the history

621
00:38:34,719 --> 00:38:36,959
Speaker 1: of powerful human beings in the history of the world.

622
00:38:37,080 --> 00:38:40,440
Speaker 1: Like he you know exactly what he's going to do

623
00:38:40,880 --> 00:38:43,920
Speaker 1: every single time. Like I'm going right, I'm a public

624
00:38:44,080 --> 00:38:46,000
Speaker 1: I'm going right. Like he tells you what he's gonna do,

625
00:38:46,120 --> 00:38:48,879
Speaker 1: then he does it. Uh. Kim Jong moon was able

626
00:38:48,960 --> 00:38:51,680
Speaker 1: to manipulate him into not giving a funk about their

627
00:38:52,200 --> 00:38:55,400
Speaker 1: nuclear program just by being like, our friendship is like

628
00:38:55,560 --> 00:38:59,279
Speaker 1: a Hollywood romance. Our next meeting will be like a

629
00:38:59,360 --> 00:39:03,359
Speaker 1: fantasy for home. These new secret letters have been revealed. Uh,

630
00:39:03,520 --> 00:39:06,759
Speaker 1: and that is like all it takes is affection. And

631
00:39:07,080 --> 00:39:09,840
Speaker 1: we'll remember that weird action movie that he made with

632
00:39:10,000 --> 00:39:13,120
Speaker 1: Kim Jong n Yeah, it was like a little action

633
00:39:13,200 --> 00:39:20,080
Speaker 1: like that trailer. Yeah, I mean yeah. The only people

634
00:39:20,160 --> 00:39:22,680
Speaker 1: who seemed to be surprised by him every time are

635
00:39:22,920 --> 00:39:26,839
Speaker 1: the mainstream media and the mainstream Democrats. And that's going

636
00:39:26,920 --> 00:39:29,359
Speaker 1: to be bad. Just write him a letter, just I mean,

637
00:39:29,400 --> 00:39:36,520
Speaker 1: this is a thing we American fathers. An exceptionalism America. Yeah, yeah,

638
00:39:36,600 --> 00:39:45,120
Speaker 1: I an exceptionalism. Don't worry, don't worry, American exceptional But

639
00:39:45,280 --> 00:39:48,160
Speaker 1: we do it to everyone else. That's our thing. All

640
00:39:48,239 --> 00:39:49,719
Speaker 1: we can do is do it to everyone else it

641
00:39:49,800 --> 00:39:54,080
Speaker 1: could never happen here, right, even then, I don't think

642
00:39:54,080 --> 00:39:55,880
Speaker 1: people can put it together at that point. It's like

643
00:39:57,120 --> 00:39:59,440
Speaker 1: they are heading their bets with where they're putting an

644
00:39:59,520 --> 00:40:04,719
Speaker 1: average revenue though, Oh yeah, that's the thing. That's the

645
00:40:04,800 --> 00:40:07,480
Speaker 1: one benefit of all of this, apparently just for the

646
00:40:07,560 --> 00:40:12,160
Speaker 1: advertising sector, because it's truly the like NBC and Fox

647
00:40:12,239 --> 00:40:14,720
Speaker 1: are saying that they have just been like the demand

648
00:40:14,800 --> 00:40:18,040
Speaker 1: for ad space following election night is just like going

649
00:40:18,360 --> 00:40:20,800
Speaker 1: up and up and up and up because there's no

650
00:40:20,960 --> 00:40:25,520
Speaker 1: fucking sports and advertisers are coming all over themselves. This

651
00:40:25,680 --> 00:40:29,040
Speaker 1: is the most stimulation they've had all year. It's it's

652
00:40:29,080 --> 00:40:32,600
Speaker 1: and it's really like it's so dark, right because when

653
00:40:32,680 --> 00:40:34,920
Speaker 1: you think about how much money is flowing right, Like

654
00:40:35,040 --> 00:40:38,759
Speaker 1: ABC is charging like around three seventy five grand for

655
00:40:38,840 --> 00:40:42,280
Speaker 1: a thirty second spot during the debate like these upcoming debates,

656
00:40:42,320 --> 00:40:44,120
Speaker 1: Like if you just want thirty seconds, that's where we

657
00:40:44,200 --> 00:40:48,000
Speaker 1: gotta talk three seventy five to even get the conversation going. Um,

658
00:40:48,600 --> 00:40:51,239
Speaker 1: and as all of this is happening, like you the

659
00:40:51,400 --> 00:40:54,520
Speaker 1: ad people, the way they're even talking, right, there's someone

660
00:40:54,600 --> 00:40:58,000
Speaker 1: who works at this ad agency, the sixty I saying

661
00:40:58,120 --> 00:41:00,479
Speaker 1: quote with election coverage. You're going to be teaching people

662
00:41:00,480 --> 00:41:03,359
Speaker 1: who are previously harder to reach on TV. You're going

663
00:41:03,440 --> 00:41:06,040
Speaker 1: to be reaching people who are community and civic oriented.

664
00:41:06,360 --> 00:41:10,000
Speaker 1: That's attractive to advertisers. They're talking about like the whole

665
00:41:10,040 --> 00:41:12,920
Speaker 1: ship coming apart on TV, and they're like, Okay, so

666
00:41:13,080 --> 00:41:14,920
Speaker 1: this is this is a kind of demographic you can

667
00:41:15,000 --> 00:41:17,040
Speaker 1: get in with. Maybe we can sell a lot of

668
00:41:17,080 --> 00:41:20,279
Speaker 1: swift or dusters to these people because you know they're

669
00:41:20,280 --> 00:41:23,200
Speaker 1: watching this whole funked up thing, this dusty as democracy

670
00:41:23,280 --> 00:41:27,160
Speaker 1: get blown apart. It's the look, there's money. I mean, look,

671
00:41:27,360 --> 00:41:31,120
Speaker 1: if you was happening, you would have bought up that

672
00:41:31,600 --> 00:41:34,320
Speaker 1: because people were glued to their TV and you have

673
00:41:34,440 --> 00:41:37,560
Speaker 1: a captive audience. What's better than a captive audience for

674
00:41:37,719 --> 00:41:40,880
Speaker 1: selling home? Where do you think Nike is going to

675
00:41:41,000 --> 00:41:43,759
Speaker 1: have an ad made already? Like if companies are going

676
00:41:43,800 --> 00:41:46,560
Speaker 1: to have like ads pre made to the absolutely do

677
00:41:46,640 --> 00:41:48,719
Speaker 1: you know what I mean? Right now? Like where they're

678
00:41:48,760 --> 00:41:51,000
Speaker 1: like like that was quick and I don't know what

679
00:41:51,840 --> 00:41:58,320
Speaker 1: Lysol's role is in the revolution, but um, okay, yeah exactly,

680
00:41:59,280 --> 00:42:05,000
Speaker 1: Um Erica American exception on him. That's what I was

681
00:42:05,000 --> 00:42:09,440
Speaker 1: gonna say. Yeah, I just remembered. Um, yeah, it's uh,

682
00:42:12,280 --> 00:42:17,879
Speaker 1: it's a weird it's a weird time. Yeah, alright, guys,

683
00:42:17,920 --> 00:42:19,759
Speaker 1: let's take a quick break and we'll come back and

684
00:42:20,120 --> 00:42:33,360
Speaker 1: do a little brain bleach. And just got the unibrow

685
00:42:33,719 --> 00:42:36,319
Speaker 1: do the uni brow you got? Yes, We're we're talking

686
00:42:36,400 --> 00:42:41,759
Speaker 1: eyebrow uh maintenance. Sorry. June is having Unfortunately you guys

687
00:42:41,760 --> 00:42:43,919
Speaker 1: aren't able to share in it, but she is having

688
00:42:44,000 --> 00:42:47,280
Speaker 1: one of the all time great hair podcasts I've ever seen.

689
00:42:48,480 --> 00:42:52,719
Speaker 1: Her hair looks amazing and she said she cut it herself. Uh,

690
00:42:52,920 --> 00:42:55,840
Speaker 1: so I have to verify that. Yeah, I don't. I

691
00:42:55,960 --> 00:42:58,760
Speaker 1: don't believe it. I have a permit from the county

692
00:42:58,880 --> 00:43:02,520
Speaker 1: to come out good. Yeah, you do need more trained

693
00:43:02,600 --> 00:43:05,520
Speaker 1: to do that than to carry a gun for the

694
00:43:05,640 --> 00:43:09,080
Speaker 1: l A p D. It's very true. Yeah, but I

695
00:43:09,160 --> 00:43:12,080
Speaker 1: was saying that I'm gonna try to cut my own eyebrows,

696
00:43:12,320 --> 00:43:16,000
Speaker 1: and I don't know, I don't. I don't feel good

697
00:43:16,040 --> 00:43:18,160
Speaker 1: about it. But I don't think you should. I think

698
00:43:18,200 --> 00:43:21,200
Speaker 1: you should let him grow. Let them grow till the

699
00:43:21,360 --> 00:43:24,080
Speaker 1: till your ears hang low, till they wobble to and fro,

700
00:43:24,360 --> 00:43:26,719
Speaker 1: you know. Yeah, so you can tie him in a

701
00:43:26,840 --> 00:43:30,480
Speaker 1: nut and tie in a bow. Yeah, I'm gonna try

702
00:43:30,560 --> 00:43:34,160
Speaker 1: the eyebrow comb over where it just like goes up

703
00:43:34,280 --> 00:43:39,400
Speaker 1: into my hair and I use it combo fucking flex.

704
00:43:40,000 --> 00:43:42,280
Speaker 1: Do you do? You use any product on the brows

705
00:43:42,360 --> 00:43:46,759
Speaker 1: to keep them from drooping into your eyelashes? Butmer's glue, right,

706
00:43:46,800 --> 00:43:53,239
Speaker 1: you say, little candle wax and Elmer's glue. Just turn.

707
00:43:53,560 --> 00:43:55,160
Speaker 1: Your wife gave me some stuff for you to put

708
00:43:55,239 --> 00:43:58,440
Speaker 1: on your eyebrows. It smelled kind of weird, but she

709
00:43:58,520 --> 00:44:00,319
Speaker 1: said it was She said it was free to put

710
00:44:00,360 --> 00:44:03,600
Speaker 1: on your skin. It burst a bunch of blood vessels

711
00:44:03,640 --> 00:44:07,400
Speaker 1: in my eyes when I sniffed it. But give it

712
00:44:07,400 --> 00:44:11,120
Speaker 1: a shot, Give it a shot. Um, all right, let's

713
00:44:11,160 --> 00:44:14,680
Speaker 1: do a little brain bleach. Uh. We have an official

714
00:44:15,239 --> 00:44:22,800
Speaker 1: ruling from Ireland. Uh. And it turns out that subway

715
00:44:22,880 --> 00:44:27,120
Speaker 1: bread is not bread. I didn't know this was up

716
00:44:27,200 --> 00:44:32,520
Speaker 1: for debate, let alone. Yeah it is okay, and I

717
00:44:32,719 --> 00:44:36,399
Speaker 1: was surprised too. You know, sodium and sugar are those

718
00:44:36,520 --> 00:44:40,000
Speaker 1: ingredients that have massive effects on our health. We've all seen,

719
00:44:40,080 --> 00:44:43,160
Speaker 1: we've all read the studies recently. We all willing. It's

720
00:44:43,200 --> 00:44:45,160
Speaker 1: willing to accept that you probably don't want to go

721
00:44:45,280 --> 00:44:48,440
Speaker 1: ode on the sodium and the sugar. Uh. And I

722
00:44:48,600 --> 00:44:51,560
Speaker 1: definitely have become more aware of this as my body

723
00:44:51,680 --> 00:44:55,400
Speaker 1: turns more and more into an old, decrepit skeleton. But

724
00:44:55,760 --> 00:45:03,279
Speaker 1: the amount of before o D skeleton. Um. But the

725
00:45:03,960 --> 00:45:06,160
Speaker 1: the amount of things like sugar also can like affect

726
00:45:06,200 --> 00:45:09,960
Speaker 1: how things are categorized. So subway they were fucking they're

727
00:45:10,000 --> 00:45:12,319
Speaker 1: pushing the limits on the amount of sugar in their bread.

728
00:45:12,440 --> 00:45:15,080
Speaker 1: That like the like a fucking like the Supreme Court

729
00:45:15,160 --> 00:45:16,800
Speaker 1: of Ireland was like, hold on, hold on, hold on,

730
00:45:16,880 --> 00:45:18,920
Speaker 1: hold on. You're trying to be exempt from like a

731
00:45:19,040 --> 00:45:21,320
Speaker 1: VAT like a value added tax because you're saying this,

732
00:45:21,560 --> 00:45:24,920
Speaker 1: this is a staple food, Your bread is a staple food. Okay, well,

733
00:45:25,000 --> 00:45:27,040
Speaker 1: let's do a quick breakdown really quick. Let's say how

734
00:45:27,080 --> 00:45:28,919
Speaker 1: much sodium and sugar is in here if we're gonna

735
00:45:28,920 --> 00:45:31,840
Speaker 1: call this a staple food. Turns out there is so

736
00:45:32,040 --> 00:45:34,880
Speaker 1: much fucking sugar in it that it is it cannot

737
00:45:34,920 --> 00:45:38,000
Speaker 1: be considered a staple food. It's in fact has five

738
00:45:38,080 --> 00:45:42,279
Speaker 1: times as much sugar as permitted by Ireland specific like

739
00:45:42,520 --> 00:45:46,200
Speaker 1: VAT uh like tax Code Act from the seventies. So

740
00:45:46,360 --> 00:45:48,520
Speaker 1: they're saying, like, no, this ship is actually a pastry fan.

741
00:45:49,040 --> 00:45:54,279
Speaker 1: This is not bread. These are pastries. But like the

742
00:45:54,440 --> 00:45:57,920
Speaker 1: age old the hot button Southern issue, which is can

743
00:45:58,000 --> 00:46:00,840
Speaker 1: you put sugar in a biscuit? Or if you do

744
00:46:00,960 --> 00:46:03,719
Speaker 1: put sugar in a biscuit, does that make it technically cake?

745
00:46:05,719 --> 00:46:08,680
Speaker 1: I don't know that Southern that makes some people get

746
00:46:08,760 --> 00:46:11,160
Speaker 1: really piste if you put sugar in a biscuit recipe,

747
00:46:11,239 --> 00:46:15,080
Speaker 1: even just a tablespoon in the biscuits, I think you

748
00:46:15,120 --> 00:46:17,520
Speaker 1: meant like someone's like sugar, Like they got the big biscuit.

749
00:46:17,600 --> 00:46:18,719
Speaker 1: They're like, you know what I like to do, Get

750
00:46:18,719 --> 00:46:21,400
Speaker 1: a little old butter and sugar on here. Oh, I

751
00:46:21,480 --> 00:46:24,839
Speaker 1: mean that's that's the classic. That was my sandwich growing up.

752
00:46:25,360 --> 00:46:29,719
Speaker 1: But yeah, that was a very special treat. Oh or

753
00:46:30,120 --> 00:46:35,920
Speaker 1: was that domino cinnamon sugar? Both? No, I just that

754
00:46:36,040 --> 00:46:38,480
Speaker 1: was that was a dessert. Was like any if I

755
00:46:38,520 --> 00:46:40,440
Speaker 1: got a butter and sugar sandwich, I would eat that.

756
00:46:40,520 --> 00:46:42,239
Speaker 1: Now maybe I'll do it. I'm an adult, I can

757
00:46:42,280 --> 00:46:44,040
Speaker 1: do whatever I want. So if you put a little

758
00:46:44,040 --> 00:46:46,680
Speaker 1: bit of sugar in your dough, your biscuit dough recipe,

759
00:46:46,760 --> 00:46:48,440
Speaker 1: people will come at you and be like, no, you

760
00:46:48,560 --> 00:46:51,160
Speaker 1: just made a cake. Yeah, some people are like weirdly

761
00:46:52,280 --> 00:46:54,120
Speaker 1: not like I guess not pedantic, but you know a

762
00:46:54,120 --> 00:46:55,920
Speaker 1: little pedantic about it where they're like, if you put

763
00:46:55,960 --> 00:46:57,520
Speaker 1: sugar in it, then it's a cake. It's just a

764
00:46:57,560 --> 00:46:59,680
Speaker 1: small cake. It's a cupcake. It's not a biscuit, a

765
00:46:59,800 --> 00:47:02,040
Speaker 1: real biscuit. You know. It's like it's like if you

766
00:47:02,239 --> 00:47:03,920
Speaker 1: ask an Italian how to make a red sauce, and

767
00:47:03,960 --> 00:47:05,600
Speaker 1: it's like, well, someone's going to tell you there's a

768
00:47:05,640 --> 00:47:08,319
Speaker 1: real way, you know, right right right? And is there

769
00:47:08,360 --> 00:47:11,120
Speaker 1: I don't know. Oh, there is a real way to

770
00:47:11,280 --> 00:47:13,640
Speaker 1: make a sauce, but it depends on the region of

771
00:47:13,760 --> 00:47:19,239
Speaker 1: Italy that you're trying to make a well. I would

772
00:47:19,280 --> 00:47:21,440
Speaker 1: just like to say a true bullon Is doesn't typically

773
00:47:21,560 --> 00:47:25,080
Speaker 1: use as much tomato as as one would think. In Bologna,

774
00:47:25,080 --> 00:47:30,080
Speaker 1: they don't use as much tomato. Yeah, So anyway, I digress,

775
00:47:30,760 --> 00:47:34,080
Speaker 1: where was I? But it's weird because before Subway used

776
00:47:34,080 --> 00:47:36,520
Speaker 1: to have yoga matt bread. Now they have pastry bread.

777
00:47:37,800 --> 00:47:40,919
Speaker 1: I just they can't get it right with their fucking bread.

778
00:47:41,400 --> 00:47:45,360
Speaker 1: They just try using bread. Have they tried bread instead

779
00:47:45,400 --> 00:47:51,720
Speaker 1: of stead of doughnuts and yoga? You don't understand. Bread

780
00:47:52,480 --> 00:47:57,160
Speaker 1: is a living product that deteriorates very quickly. And what

781
00:47:57,360 --> 00:48:01,800
Speaker 1: Subway does is they make sandwiches is and sandwich products

782
00:48:01,880 --> 00:48:05,640
Speaker 1: that sit around all day in open air, which is

783
00:48:06,200 --> 00:48:09,680
Speaker 1: also how things deteriorate. That's why their chicken looks like

784
00:48:10,719 --> 00:48:12,440
Speaker 1: not a chicken, you know what I mean. That's why

785
00:48:12,480 --> 00:48:15,560
Speaker 1: the chicken stuff looks like a chicken. It's a yoga Yes,

786
00:48:15,640 --> 00:48:18,840
Speaker 1: you're right, it's the old sponges that they used to

787
00:48:18,960 --> 00:48:21,560
Speaker 1: clean once. Once they're done using it for that, they

788
00:48:21,640 --> 00:48:24,080
Speaker 1: just cut it up into chicken strips. Yeah, like I

789
00:48:24,120 --> 00:48:28,320
Speaker 1: think it's vegan. I think some ways chicken is vegan

790
00:48:28,760 --> 00:48:31,719
Speaker 1: if it's not like they're missing an opportunity, because it

791
00:48:31,960 --> 00:48:34,160
Speaker 1: might as well be, and then you can market it

792
00:48:34,239 --> 00:48:38,080
Speaker 1: on that there was meat properties the chicken was they

793
00:48:38,120 --> 00:48:44,200
Speaker 1: were They tried to because it was like less than chicken,

794
00:48:44,400 --> 00:48:48,440
Speaker 1: and they're like, no, the salami. I don't know if

795
00:48:48,440 --> 00:48:50,520
Speaker 1: you guys talked about this Danny Palumbo, I know you

796
00:48:50,600 --> 00:48:52,880
Speaker 1: had him on recently, Yeah, we did, but we don't know.

797
00:48:53,080 --> 00:48:54,719
Speaker 1: I don't think. I don't think because he used to

798
00:48:54,840 --> 00:48:57,200
Speaker 1: he used to talk about this on stage and and

799
00:48:57,320 --> 00:49:01,160
Speaker 1: so I remember it very well. Um, the something like

800
00:49:01,280 --> 00:49:06,560
Speaker 1: the ham at Subway is like Turkey in Europe. They

801
00:49:06,560 --> 00:49:09,520
Speaker 1: wouldn't let them label it as ham because it's a

802
00:49:09,680 --> 00:49:12,560
Speaker 1: combination meat product, and like they're all their salami all

803
00:49:12,560 --> 00:49:17,840
Speaker 1: they're like, sharcutere basically is not mostly is mostly not pork,

804
00:49:18,239 --> 00:49:23,160
Speaker 1: so they call it pork. Yeah, honey, I've brought home

805
00:49:23,239 --> 00:49:27,160
Speaker 1: some shark cutere from Subway. Let me lay it out

806
00:49:27,280 --> 00:49:29,600
Speaker 1: for you. This is gonna be a fine spread we're

807
00:49:29,640 --> 00:49:33,120
Speaker 1: having this evening. This is what board? What board do

808
00:49:33,200 --> 00:49:36,000
Speaker 1: you put that sharquterie board on? Is it just cardboard

809
00:49:37,400 --> 00:49:41,600
Speaker 1: only appropriate? You just put that on a hefty bag. Yeah,

810
00:49:41,920 --> 00:49:44,880
Speaker 1: I mean like a construction as it is a construction

811
00:49:45,080 --> 00:49:48,920
Speaker 1: black construction trash bag. You put your subway sharquterie board.

812
00:49:49,320 --> 00:49:53,640
Speaker 1: Uh for that. I remember learning about the t about

813
00:49:53,960 --> 00:49:56,480
Speaker 1: the all the meat being turkey from this person I

814
00:49:56,600 --> 00:49:58,879
Speaker 1: was working on a campaign with like fucking years ago,

815
00:49:59,360 --> 00:50:01,520
Speaker 1: and she'll be like, you know, we stopped, you know,

816
00:50:01,600 --> 00:50:03,640
Speaker 1: like when you're like doing it, you gotta get quick lunch,

817
00:50:03,680 --> 00:50:05,840
Speaker 1: and like, oh, let me get pull over here. I

818
00:50:05,880 --> 00:50:07,640
Speaker 1: want to get this subway real quick. And she's like,

819
00:50:08,000 --> 00:50:09,960
Speaker 1: I'm gonna go next door. I can't eat subod. I

820
00:50:10,040 --> 00:50:12,160
Speaker 1: was like, all right, that's that's fine, and She's like,

821
00:50:12,239 --> 00:50:15,720
Speaker 1: but if you want to go ahead, but honestly I wouldn't.

822
00:50:16,040 --> 00:50:17,960
Speaker 1: And I was like, alright, asshold, do you want to

823
00:50:18,040 --> 00:50:19,640
Speaker 1: tell me something or you just want to be mad

824
00:50:19,640 --> 00:50:22,319
Speaker 1: passive aggressive about it? And so she did her thing.

825
00:50:22,440 --> 00:50:24,360
Speaker 1: I got my mother fucking tuna because you know what

826
00:50:24,480 --> 00:50:26,520
Speaker 1: the funk I do, and I would never be stopped.

827
00:50:26,560 --> 00:50:28,879
Speaker 1: I don't care if that tuna is fucking thirty percent rat.

828
00:50:29,040 --> 00:50:32,279
Speaker 1: I'm eating that ship. So I come out, I'm eating

829
00:50:32,320 --> 00:50:33,600
Speaker 1: it and she's like, what did you get? I'm like

830
00:50:33,680 --> 00:50:36,320
Speaker 1: tuna and she's like, oh, okay. And I was like

831
00:50:37,080 --> 00:50:39,600
Speaker 1: and it's like, well a lot of people get the

832
00:50:39,640 --> 00:50:41,359
Speaker 1: turkey or whatever, and she's like, you know, the thing

833
00:50:41,560 --> 00:50:46,440
Speaker 1: is all the everything is made of turkey. Before she did,

834
00:50:46,680 --> 00:50:49,520
Speaker 1: she fucking did like she was like like it was

835
00:50:50,600 --> 00:50:52,920
Speaker 1: like Dodson in Jurassic Park when he's beating up with

836
00:50:53,000 --> 00:50:54,719
Speaker 1: the d n names like we got dots in here.

837
00:50:55,320 --> 00:50:57,480
Speaker 1: Nobody cares. I'm like, see, nobody gives a funk if

838
00:50:57,520 --> 00:51:01,160
Speaker 1: it's turkey. But it's like staring out the window at you,

839
00:51:01,400 --> 00:51:04,279
Speaker 1: like speaking, and I was like, why are you being

840
00:51:04,360 --> 00:51:06,880
Speaker 1: on wild shady about it? She's like, because you know, um,

841
00:51:07,080 --> 00:51:10,040
Speaker 1: like my my family we own two quiz Nos franchises.

842
00:51:11,960 --> 00:51:15,239
Speaker 1: This quiz Nos. Man. That's when I was like, what

843
00:51:15,680 --> 00:51:19,520
Speaker 1: share this even if it's true. The my my bottom

844
00:51:19,520 --> 00:51:22,359
Speaker 1: line was like, I don't care. I don't go there

845
00:51:22,400 --> 00:51:24,120
Speaker 1: because I think I'm eating the real thing. I go

846
00:51:24,280 --> 00:51:26,880
Speaker 1: there because I want a tuna like substance in between

847
00:51:26,960 --> 00:51:29,879
Speaker 1: a pastry bread. Yeah, I want to lettuce and cream

848
00:51:29,960 --> 00:51:35,680
Speaker 1: cheese sandwich. That's what I get. Yeah, that is basically

849
00:51:35,719 --> 00:51:38,360
Speaker 1: what I have yet to buy. The the you know,

850
00:51:38,360 --> 00:51:40,399
Speaker 1: because like now, like I'm pretty sure Subways are still

851
00:51:40,440 --> 00:51:42,600
Speaker 1: kind of using their stories as like markets that I

852
00:51:42,719 --> 00:51:46,480
Speaker 1: need to buy like the the actual commercial size thing

853
00:51:46,520 --> 00:51:48,080
Speaker 1: of tuna that they use, so I can have my

854
00:51:48,200 --> 00:51:51,440
Speaker 1: own vat of subway tuna at my house and completely

855
00:51:51,520 --> 00:51:55,400
Speaker 1: just destroy my insides. Subways, So I didn't even know

856
00:51:55,480 --> 00:51:57,600
Speaker 1: they were doing that. The Oh yeah, you could buy

857
00:51:57,680 --> 00:52:01,760
Speaker 1: like a fucking twenty like a like an eight pound

858
00:52:01,800 --> 00:52:03,920
Speaker 1: bag of bacon for like twenty five bucks or something,

859
00:52:05,400 --> 00:52:07,719
Speaker 1: and and to get a better value other places, but

860
00:52:07,800 --> 00:52:11,080
Speaker 1: you know, it will be the equivalent of buying a

861
00:52:11,480 --> 00:52:14,160
Speaker 1: pack of bacon at the grocery store in terms of

862
00:52:14,280 --> 00:52:20,200
Speaker 1: the bacon content. But yeah, it's mostly cross crocodile, the shoe,

863
00:52:20,360 --> 00:52:24,400
Speaker 1: the shoe crocket. I have to say, I find it

864
00:52:24,560 --> 00:52:29,000
Speaker 1: really upsetting that the UM bread product market is being

865
00:52:29,280 --> 00:52:35,520
Speaker 1: destroyed by Ireland's strict strict regulations that they're um, you know,

866
00:52:35,800 --> 00:52:38,320
Speaker 1: they're hemming in the market like this. It's like really

867
00:52:38,400 --> 00:52:41,400
Speaker 1: insulting to UM, those of us who love UM, the

868
00:52:41,520 --> 00:52:45,160
Speaker 1: capitalist free market and want humans to reach their full

869
00:52:45,200 --> 00:52:48,160
Speaker 1: potential by selling bread with a lot of sugar in

870
00:52:48,239 --> 00:52:50,640
Speaker 1: it to poor people. But also a shout out to

871
00:52:50,800 --> 00:52:52,960
Speaker 1: the Supreme Court of Ireland where you know they're they're

872
00:52:53,000 --> 00:52:58,880
Speaker 1: deciding on the real ship. It's pronounced cart, you know

873
00:52:59,239 --> 00:53:06,719
Speaker 1: it's pronounced this. Thank you. This has been our time. Uh,

874
00:53:07,360 --> 00:53:12,600
Speaker 1: let's talk borat the new trailers out. Yes, did you

875
00:53:12,640 --> 00:53:15,279
Speaker 1: see that trailer? I did see the trailer and I'm

876
00:53:15,560 --> 00:53:22,920
Speaker 1: very happy to support this. What is this? It's so stupid,

877
00:53:23,280 --> 00:53:27,960
Speaker 1: like i' that there's so little Trump in there, because

878
00:53:28,040 --> 00:53:32,200
Speaker 1: it's just like such stupid ship, like just such stupid

879
00:53:35,280 --> 00:53:41,080
Speaker 1: on HBO style, just dumb dumb jokes. Um he ye.

880
00:53:41,920 --> 00:53:47,440
Speaker 1: Trailer involves a new character now his daughter apparently, and

881
00:53:48,040 --> 00:53:50,880
Speaker 1: this person is also filled with all kinds of antics.

882
00:53:52,160 --> 00:53:55,200
Speaker 1: The there's just so many of his you know, the

883
00:53:55,280 --> 00:53:57,200
Speaker 1: thing he does best is just hold a mirror up

884
00:53:57,800 --> 00:54:01,360
Speaker 1: to American culture and and just certain parts of the country.

885
00:54:01,440 --> 00:54:03,120
Speaker 1: And I don't know, in a way I was like,

886
00:54:03,320 --> 00:54:05,960
Speaker 1: oh fuck, Like especially when they like there was that

887
00:54:06,040 --> 00:54:09,279
Speaker 1: section on coronavirus and like they were kind of just

888
00:54:09,480 --> 00:54:12,160
Speaker 1: setting off lisol in the air. And also like you

889
00:54:12,200 --> 00:54:15,600
Speaker 1: could tell everyone was kind of confused about coronavirus, and

890
00:54:15,680 --> 00:54:17,360
Speaker 1: He's like, do I smash it with pants? Like no,

891
00:54:17,600 --> 00:54:20,040
Speaker 1: but I guess if you think there's some virus, do

892
00:54:20,160 --> 00:54:22,839
Speaker 1: a little lisol over there. And it was just kind

893
00:54:22,880 --> 00:54:27,160
Speaker 1: of like yes and maybe yes, democrats are more deadly

894
00:54:27,239 --> 00:54:29,120
Speaker 1: than the pandemic. A lot of things you would expect

895
00:54:29,200 --> 00:54:33,239
Speaker 1: to hear when borat interviews. You know it too soon.

896
00:54:35,520 --> 00:54:37,400
Speaker 1: I don't know what the funk it is. I'm curious

897
00:54:37,400 --> 00:54:40,000
Speaker 1: to know, like what's gonna happen, like my experience, my

898
00:54:40,040 --> 00:54:46,279
Speaker 1: physical experience watching watching it if I'm just like oh fuck, yeah,

899
00:54:46,360 --> 00:54:50,680
Speaker 1: like throwing up my sandwich, my subway pay street, I

900
00:54:50,800 --> 00:54:53,880
Speaker 1: can't watch it anymore. But it Uh, I don't know,

901
00:54:54,400 --> 00:54:57,320
Speaker 1: But I think, like anything, there's he always manages to

902
00:54:57,440 --> 00:55:00,640
Speaker 1: have just like really just cutting calm and tarry through

903
00:55:00,800 --> 00:55:03,360
Speaker 1: a lot of these segments that I'm I feel like

904
00:55:03,440 --> 00:55:06,399
Speaker 1: I've already seen the ugliest parts, but who knows. Yeah,

905
00:55:06,480 --> 00:55:09,200
Speaker 1: let's let's let's get ugly like Bubba spart And one

906
00:55:09,239 --> 00:55:12,040
Speaker 1: of the things I have here for brain bleach is

907
00:55:12,480 --> 00:55:15,759
Speaker 1: a sign. Someone took a picture of a sign in

908
00:55:15,960 --> 00:55:20,719
Speaker 1: a University of Alabama elevator that says do not click

909
00:55:20,800 --> 00:55:25,680
Speaker 1: buttons with genitalia. Cameras are watching like that fucking rocks.

910
00:55:26,680 --> 00:55:30,800
Speaker 1: So so I don't know, like the Internet has already

911
00:55:30,880 --> 00:55:34,239
Speaker 1: showed us so much of of what America is made of.

912
00:55:34,719 --> 00:55:38,239
Speaker 1: But he is a genius. So I'm looking forward forever

913
00:55:38,360 --> 00:55:46,200
Speaker 1: baby US, Forever go USA number one. Honestly a USA

914
00:55:46,400 --> 00:55:51,480
Speaker 1: forever bro. And honestly he bro and that full came

915
00:55:51,560 --> 00:55:56,239
Speaker 1: through with to Mike Pence as Trump Bro. Y'all gotta

916
00:55:56,239 --> 00:56:00,279
Speaker 1: watch out for this barrat dude, I've been watching. Here's

917
00:56:00,360 --> 00:56:04,880
Speaker 1: here's the cool thing about TikTok. There's prison TikTok. I

918
00:56:04,920 --> 00:56:06,640
Speaker 1: don't know how they're doing it, but they're doing it.

919
00:56:06,920 --> 00:56:09,680
Speaker 1: There's tree sitters TikTok. I don't know how they're doing it,

920
00:56:09,719 --> 00:56:11,520
Speaker 1: but they do. But if you have a phone, you

921
00:56:11,600 --> 00:56:16,040
Speaker 1: can make it and it's like somehow it's easier than tweeting, right,

922
00:56:16,800 --> 00:56:19,960
Speaker 1: It's it's weird, man. Yeah that any video content out

923
00:56:20,040 --> 00:56:23,880
Speaker 1: of jail is always interesting. That's good content. You know,

924
00:56:24,160 --> 00:56:26,640
Speaker 1: That's what the Internet is for. And those people truly

925
00:56:26,680 --> 00:56:28,200
Speaker 1: don't give a funk, you know what I mean, because

926
00:56:28,360 --> 00:56:30,279
Speaker 1: it's not Yeah, those accounts get taken down like that.

927
00:56:30,360 --> 00:56:32,680
Speaker 1: They don't care, and like you don't want you you

928
00:56:32,719 --> 00:56:34,799
Speaker 1: don't want to get caught with a phone. Like it's

929
00:56:35,000 --> 00:56:38,680
Speaker 1: it's like four Chan, but without all of the racism.

930
00:56:39,000 --> 00:56:44,160
Speaker 1: But yeah, like if if you do talk, you can

931
00:56:44,239 --> 00:56:46,880
Speaker 1: find a bunch of really weird ship and it's like

932
00:56:47,040 --> 00:56:50,000
Speaker 1: four Chan, except there is a heavy sensor. But like

933
00:56:51,600 --> 00:56:53,880
Speaker 1: my friends video got like taken down because she had

934
00:56:53,880 --> 00:56:56,120
Speaker 1: like too many hamburgers on herself, Like she was like

935
00:56:56,239 --> 00:56:58,800
Speaker 1: rubbing a hamburger. Like she wasn't even like too sexual

936
00:56:58,960 --> 00:57:01,200
Speaker 1: or something, but she had she smeared a burger like

937
00:57:01,320 --> 00:57:03,760
Speaker 1: on her stomach. And they're like, yo, no, no little

938
00:57:03,800 --> 00:57:07,520
Speaker 1: burger smearing around here. This is TikTok. Go to burger

939
00:57:07,600 --> 00:57:09,680
Speaker 1: smear dot com if you want that kind of filth.

940
00:57:10,719 --> 00:57:13,840
Speaker 1: When I was in high school, she's an artist and

941
00:57:13,960 --> 00:57:16,320
Speaker 1: she was doing a video. She had this burger she

942
00:57:16,360 --> 00:57:19,160
Speaker 1: had took a bite. I'm not confused by why she did.

943
00:57:19,200 --> 00:57:24,680
Speaker 1: It's dope. Why did they object to it to sexy? Okay,

944
00:57:25,080 --> 00:57:28,720
Speaker 1: all right, you know what I mean? Yeah this season,

945
00:57:28,760 --> 00:57:31,000
Speaker 1: I don't mean, look whatever, the mods they do, whatever

946
00:57:31,040 --> 00:57:33,280
Speaker 1: they gotta do. Maybe that person just is really into

947
00:57:33,360 --> 00:57:35,520
Speaker 1: burger meat. I don't know. If you're a mod for TikTok,

948
00:57:36,480 --> 00:57:38,600
Speaker 1: you know, email me. I really want to know what

949
00:57:38,720 --> 00:57:41,920
Speaker 1: that's like, because I know Facebook has them. They just

950
00:57:42,000 --> 00:57:44,840
Speaker 1: have real life, fucking content moderators, you know, who are

951
00:57:44,920 --> 00:57:47,240
Speaker 1: like going through like worse times of their life doing

952
00:57:47,280 --> 00:57:49,720
Speaker 1: it as a job. Yeah, Like everybody that I know

953
00:57:49,840 --> 00:57:52,360
Speaker 1: that's done that quit after like a year because if

954
00:57:52,680 --> 00:57:56,200
Speaker 1: it's so it's so traumatizing to just look at pictures

955
00:57:56,240 --> 00:57:58,840
Speaker 1: of reported posts all day. I mean, you know how

956
00:57:58,920 --> 00:58:01,280
Speaker 1: you all know how traumatizing Internet is now, and it's

957
00:58:02,920 --> 00:58:05,200
Speaker 1: yeah exactly, And at that point we have an option

958
00:58:05,240 --> 00:58:06,840
Speaker 1: to look away. But now I was like, oh, my

959
00:58:07,000 --> 00:58:09,520
Speaker 1: gig is to look it in its dark ass eyes

960
00:58:09,680 --> 00:58:16,840
Speaker 1: and you're like give it everything you've got. Internet. Um yeah, yeah,

961
00:58:16,880 --> 00:58:20,360
Speaker 1: I think a lot of people assume that that ship's happening. Algorithmically,

962
00:58:20,720 --> 00:58:23,840
Speaker 1: and it is when you read stories about the people

963
00:58:23,920 --> 00:58:28,640
Speaker 1: who are in the in the content approval minds just

964
00:58:28,800 --> 00:58:33,160
Speaker 1: going through that ship. It is. Yeah, we're just just

965
00:58:33,360 --> 00:58:41,040
Speaker 1: offloading the darkest human experiences onto underpaid people. Um, all right,

966
00:58:41,680 --> 00:58:46,680
Speaker 1: well on that Uh sorry, June. Uh, Like like a

967
00:58:46,800 --> 00:58:50,680
Speaker 1: morning coffee, I'd like to end on a bright note. Uh. Sorry, June.

968
00:58:51,000 --> 00:58:53,960
Speaker 1: It's been a pleasure having you as always. Where can

969
00:58:54,000 --> 00:58:57,600
Speaker 1: people find you and follow you? You can follow my

970
00:58:57,840 --> 00:59:02,680
Speaker 1: comedy show, High Priestess Comedy on Instagram at High Priestess Comedy. Uh.

971
00:59:02,800 --> 00:59:04,320
Speaker 1: And you can go to my website, which is Hey

972
00:59:04,400 --> 00:59:07,720
Speaker 1: sor June dot com. And uh, that's that's where I

973
00:59:07,760 --> 00:59:12,200
Speaker 1: put my stuff. Nice. Oh I'm on Letterbox now too

974
00:59:12,240 --> 00:59:14,960
Speaker 1: if you wanna. Um, I guess that's an app. But anyways,

975
00:59:15,000 --> 00:59:16,680
Speaker 1: it's just a place to record all the movies that

976
00:59:16,720 --> 00:59:18,760
Speaker 1: I watched, So you can find me on letterbox if

977
00:59:18,800 --> 00:59:21,200
Speaker 1: you're on Letterbox. I don't leave reviews though, I just

978
00:59:21,360 --> 00:59:23,280
Speaker 1: mark what movies I've seen, so I don't think I'm

979
00:59:23,280 --> 00:59:26,960
Speaker 1: a very good follow. Um, what what's the latest movie?

980
00:59:26,960 --> 00:59:32,520
Speaker 1: You want? The latest movie I watched? Um? Uh it

981
00:59:32,600 --> 00:59:34,680
Speaker 1: was Velvet gold Mine. It was Velvet gold Mine. But

982
00:59:35,000 --> 00:59:39,240
Speaker 1: before that, I watched um uh Confessions of a Dangerous

983
00:59:39,280 --> 00:59:40,960
Speaker 1: Mind again, which was not as good in a rewatch

984
00:59:41,000 --> 00:59:44,080
Speaker 1: as I remembered it being, but still pretty good. But

985
00:59:44,120 --> 00:59:47,240
Speaker 1: I hadn't seen that movie for like fifteen years. And

986
00:59:47,400 --> 00:59:50,360
Speaker 1: that is the one with Michelle Pfeifer. I love that.

987
00:59:50,800 --> 00:59:53,680
Speaker 1: It's one of my favorites. Yeah, Michelle Pfeiffer and teacher

988
00:59:54,360 --> 00:59:59,160
Speaker 1: teaches the youth. Sam Rockwell love it. Sam Rockwell dances

989
00:59:59,240 --> 01:00:05,400
Speaker 1: and wear suit. I know that's Coolio Julia Roberts says

990
01:00:05,480 --> 01:00:14,040
Speaker 1: some things. It's fine, Coulio Roberts. Uh, Drew Barrymore Roberts

991
01:00:17,360 --> 01:00:22,280
Speaker 1: so dumb. I apologize to our listeners and you sorry, Jack.

992
01:00:28,400 --> 01:00:32,080
Speaker 1: Confessions of a Dangerous Mind is a super underrated movie.

993
01:00:32,160 --> 01:00:34,160
Speaker 1: I feel like it is very underrated. Nobody saw it

994
01:00:34,240 --> 01:00:38,240
Speaker 1: when it came out. And it's directed by George Clooney,

995
01:00:38,320 --> 01:00:39,840
Speaker 1: which is kind of weird and it's kind of like

996
01:00:39,920 --> 01:00:44,280
Speaker 1: a flashy, showy direction, but he does like a pretty

997
01:00:44,320 --> 01:00:46,480
Speaker 1: good job, and it's a direction a lot. I like

998
01:00:46,600 --> 01:00:48,200
Speaker 1: the camera work in that movie a lot. It's a

999
01:00:48,280 --> 01:00:53,480
Speaker 1: Kaufman script, uh script. So oh. I haven't seen The

1000
01:00:53,600 --> 01:00:56,640
Speaker 1: New Coffman yet. The Netflix one. Yeah, I haven't either.

1001
01:00:57,600 --> 01:01:00,840
Speaker 1: It looks dark. It looks like a tough watch, but

1002
01:01:01,360 --> 01:01:03,680
Speaker 1: probably worth it. Pretty dark right now. I think the

1003
01:01:03,800 --> 01:01:06,040
Speaker 1: last time I had the emotional bandwidth to watch a

1004
01:01:06,120 --> 01:01:08,760
Speaker 1: Charlie Kaufman movie was Senect to Ke, New York. Yeah.

1005
01:01:09,280 --> 01:01:11,160
Speaker 1: After that, I was like, I'm tapped out, dude, I

1006
01:01:11,240 --> 01:01:14,439
Speaker 1: have to get on pills now. Spends your head off

1007
01:01:14,520 --> 01:01:17,280
Speaker 1: so hard. You're like, I don't know, happy or sad

1008
01:01:17,480 --> 01:01:22,560
Speaker 1: or confused. Thanks. Yeah, I'm also crying, Miles. We need

1009
01:01:22,640 --> 01:01:24,720
Speaker 1: to figure out what we're rewatching. I think we already

1010
01:01:24,920 --> 01:01:28,480
Speaker 1: discussed before we hit record. Oh wow, we've skipped right

1011
01:01:28,560 --> 01:01:32,160
Speaker 1: over that. Yeah. Yeah, Um so I'm gonna watch Cobra Kai.

1012
01:01:32,280 --> 01:01:34,320
Speaker 1: I mean I've already watched it, but we're we're going

1013
01:01:34,360 --> 01:01:37,360
Speaker 1: to give up on both watching it the same week. Uh,

1014
01:01:37,800 --> 01:01:40,760
Speaker 1: Which it's so hard with our schedules right now and

1015
01:01:40,840 --> 01:01:43,200
Speaker 1: all the other things we have our TV in film

1016
01:01:43,280 --> 01:01:46,480
Speaker 1: and also, you have a movie that I think the world,

1017
01:01:46,920 --> 01:01:51,640
Speaker 1: uh certainly the film community is begging you to watch. Yes,

1018
01:01:52,120 --> 01:01:55,760
Speaker 1: I am going to spend money and then immediately hit

1019
01:01:55,880 --> 01:02:00,360
Speaker 1: Jack with a Vemo request to watch The Secret dare

1020
01:02:00,440 --> 01:02:05,520
Speaker 1: to dream the fucking Katie Holmes film that is based

1021
01:02:05,680 --> 01:02:10,320
Speaker 1: on the self help book The Secret Um. I mean

1022
01:02:10,840 --> 01:02:16,480
Speaker 1: I've not read The Secret Book, but this like it's

1023
01:02:16,560 --> 01:02:19,720
Speaker 1: probably misleading people in like the worst way. Just just

1024
01:02:19,880 --> 01:02:22,360
Speaker 1: you know the synopsis or the just logline for this.

1025
01:02:22,760 --> 01:02:25,600
Speaker 1: Miranda Wells is a hard working young widow who's struggling

1026
01:02:25,640 --> 01:02:28,360
Speaker 1: to raise three children on her own. A powerful storm

1027
01:02:28,480 --> 01:02:32,800
Speaker 1: soon brings a devastating challenge in a mysterious man, Bray Johnson,

1028
01:02:33,080 --> 01:02:35,960
Speaker 1: into her life. In just a few short days. Bray's

1029
01:02:36,000 --> 01:02:40,600
Speaker 1: presence reignites the family's spirit, but he carries a secret

1030
01:02:40,840 --> 01:02:45,680
Speaker 1: that could change everything. That doesn't sound at all remotely

1031
01:02:45,760 --> 01:02:49,040
Speaker 1: similar to the book The Secret, where it's just the

1032
01:02:49,160 --> 01:02:53,120
Speaker 1: secret is the thing you imagine in your imagination will

1033
01:02:53,200 --> 01:02:55,800
Speaker 1: come true. Yeah, I mean law of attraction. You know

1034
01:02:55,880 --> 01:02:57,760
Speaker 1: you want to manifest that. You gotta put that out there.

1035
01:02:57,840 --> 01:02:59,600
Speaker 1: Don't put those limiting beliefs out there, you know what

1036
01:02:59,640 --> 01:03:01,600
Speaker 1: I mean. Okay, your husband's dead. Okay, let's try and

1037
01:03:01,680 --> 01:03:03,920
Speaker 1: work on that law of attraction. Let's bring him back

1038
01:03:03,960 --> 01:03:08,120
Speaker 1: from the dead John Snow style. We'll see if it were. Unfortunately,

1039
01:03:09,040 --> 01:03:10,720
Speaker 1: I got to do Behind the Bastards a while ago,

1040
01:03:10,880 --> 01:03:14,520
Speaker 1: and we talked about Napoleon Hill, who wrote one of

1041
01:03:14,560 --> 01:03:16,840
Speaker 1: the earliest self help books that is, you know, basically

1042
01:03:16,920 --> 01:03:19,400
Speaker 1: the basis for The Secret and all this CULTI positive

1043
01:03:19,440 --> 01:03:24,280
Speaker 1: thinking stuff, and uh, you know I I I think he's, um,

1044
01:03:25,440 --> 01:03:27,880
Speaker 1: you know, the real thing. I think it's the real deal. Guys. Uh.

1045
01:03:28,560 --> 01:03:30,360
Speaker 1: But I learned on Behind the Bastards is that was

1046
01:03:30,400 --> 01:03:33,440
Speaker 1: a good guy who was smart. Yea, yeah, yeah, That's

1047
01:03:33,480 --> 01:03:35,640
Speaker 1: what I love about that show with Robert Evans Behind

1048
01:03:35,640 --> 01:03:38,160
Speaker 1: the Bastards is he's always highlighting just the do gooders

1049
01:03:38,520 --> 01:03:42,560
Speaker 1: of society. That, yeah, the noble people, because behind the

1050
01:03:42,600 --> 01:03:48,800
Speaker 1: Bastards are the noble people and those they're standing right

1051
01:03:48,840 --> 01:03:52,040
Speaker 1: behind them. So yeah, if you want to completely disrespect

1052
01:03:52,080 --> 01:03:54,960
Speaker 1: yourself for five dollars, hop on that wave with me

1053
01:03:55,040 --> 01:03:57,120
Speaker 1: and watch The Secret Dare to Dream with Katie Holmes

1054
01:03:58,080 --> 01:04:00,720
Speaker 1: shout out. I'm also watching it low key because you know,

1055
01:04:00,800 --> 01:04:03,480
Speaker 1: I like I like Katie Holmes, you know. Yeah, yeah,

1056
01:04:04,680 --> 01:04:07,400
Speaker 1: she's gonna drink your blood. I love it, you know

1057
01:04:07,400 --> 01:04:09,520
Speaker 1: what I mean. She'll get sick though, too much sodium

1058
01:04:09,520 --> 01:04:13,360
Speaker 1: and sugar from all that stuff. Just get high, dude.

1059
01:04:13,720 --> 01:04:17,800
Speaker 1: She's diabetic shock from myself trying. She's trying to go

1060
01:04:17,920 --> 01:04:20,920
Speaker 1: clearer and you're putting all that sugar in her system. Sorry,

1061
01:04:21,600 --> 01:04:25,120
Speaker 1: I will be watching Cobra Kai so, but we won't

1062
01:04:25,160 --> 01:04:27,360
Speaker 1: be talking about it on Monday's episode. We'll be talking

1063
01:04:27,360 --> 01:04:29,360
Speaker 1: about it on Tuesday's episode. So you guys have an

1064
01:04:29,440 --> 01:04:33,560
Speaker 1: extra day for your homework. Um, not often, not often,

1065
01:04:33,600 --> 01:04:37,320
Speaker 1: we can do that, but here's a free one. Gays,

1066
01:04:37,920 --> 01:04:40,880
Speaker 1: You're lucky. Uh Miles, where can people find you? What's

1067
01:04:40,920 --> 01:04:43,640
Speaker 1: tweet you've been enjoying on Twitter? Instagram? Miles of Gray,

1068
01:04:43,760 --> 01:04:47,080
Speaker 1: the other podcast for twenty Day Fiance. Uh no tweets

1069
01:04:47,480 --> 01:04:50,280
Speaker 1: I've been I haven't really been on Twitter. So I

1070
01:04:50,920 --> 01:04:52,720
Speaker 1: will look at my mentions and if there was an

1071
01:04:52,760 --> 01:04:54,840
Speaker 1: a k A at the top like today's, I will

1072
01:04:54,920 --> 01:04:58,160
Speaker 1: check that out. But other than that, I can. I

1073
01:04:58,280 --> 01:05:01,240
Speaker 1: love myself too much right owt y'all. I can get

1074
01:05:01,320 --> 01:05:04,560
Speaker 1: my news and ship the other ways. Don't need that sometimes.

1075
01:05:05,040 --> 01:05:07,920
Speaker 1: I'm telling you try it this week, even for like

1076
01:05:08,080 --> 01:05:10,400
Speaker 1: fucking half a day. Like if you're like, there's no

1077
01:05:10,520 --> 01:05:13,200
Speaker 1: way I could not even fucking try. I'm telling you

1078
01:05:13,640 --> 01:05:15,800
Speaker 1: this ship you feel so much better. Ship is better

1079
01:05:15,880 --> 01:05:18,080
Speaker 1: than the secret. Just call and put your motherfucking phone

1080
01:05:18,120 --> 01:05:22,160
Speaker 1: down Yeah, a couple tweets I've been enjoying. Blair Saki tweeted,

1081
01:05:22,200 --> 01:05:24,000
Speaker 1: I always think I'm a good person until I hear

1082
01:05:24,040 --> 01:05:27,360
Speaker 1: someone read out loud too slowly. Uh. And then John

1083
01:05:27,400 --> 01:05:31,360
Speaker 1: Boyce tweeted, flapping the NBA rules. That's impressive showmanship, it's funny,

1084
01:05:31,520 --> 01:05:34,440
Speaker 1: it's right with political intrigue, and it helps the league's

1085
01:05:34,480 --> 01:05:39,560
Speaker 1: heels established themselves. Four stars. You can find me on Twitter,

1086
01:05:39,680 --> 01:05:41,880
Speaker 1: Jack under Squirrel Brian. You can find us on Twitter

1087
01:05:41,960 --> 01:05:45,280
Speaker 1: at Daily Zeitgeist. We're at the Daily Zeitgeist on Instagram.

1088
01:05:45,760 --> 01:05:48,280
Speaker 1: We have a Facebook fan page and a website, Daily

1089
01:05:48,400 --> 01:05:50,840
Speaker 1: zeitgeist dot com, where we post our episodes. In our

1090
01:05:50,920 --> 01:05:54,120
Speaker 1: foot we link off to the information that we talked

1091
01:05:54,120 --> 01:05:56,959
Speaker 1: about today's episode, as well as the song we ride

1092
01:05:57,040 --> 01:05:59,880
Speaker 1: out on Mile What are we riding out on? Real

1093
01:06:00,080 --> 01:06:05,040
Speaker 1: faxing vibe, relaxing vibes. This track is called probably Never

1094
01:06:05,400 --> 01:06:10,200
Speaker 1: by Maxwell Alwin or owen O w I n uh.

1095
01:06:10,960 --> 01:06:14,120
Speaker 1: It's it's dope. It's such a laid back, funky song.

1096
01:06:14,280 --> 01:06:16,320
Speaker 1: Everything has to be laid back right now? Is too

1097
01:06:16,400 --> 01:06:18,680
Speaker 1: much tension right now that everything's got to be laid

1098
01:06:18,720 --> 01:06:21,920
Speaker 1: back and feel like, you know, a nice uh, what

1099
01:06:22,120 --> 01:06:24,080
Speaker 1: is that lithium? Is that how people used to vibe

1100
01:06:24,120 --> 01:06:32,840
Speaker 1: out back in the days. Yeah, that's a little aggressive, okay, whatever, whatever,

1101
01:06:32,920 --> 01:06:34,400
Speaker 1: you know, but people went wild with it and then

1102
01:06:34,400 --> 01:06:35,919
Speaker 1: they had to dial back in the air. We're talking,

1103
01:06:35,960 --> 01:06:37,960
Speaker 1: can we go can we say laudanum? It's kind of

1104
01:06:38,040 --> 01:06:41,160
Speaker 1: oh yeah, oh yeah, yeah yeah. It's like it's like that,

1105
01:06:41,280 --> 01:06:44,080
Speaker 1: you know, it's like that audio laudanum. Like you're like

1106
01:06:44,880 --> 01:06:47,160
Speaker 1: shout out to people who experienced at the first time

1107
01:06:47,160 --> 01:06:48,760
Speaker 1: in Deadwood And I'm like, what is she keep doing?

1108
01:06:49,160 --> 01:06:55,800
Speaker 1: What's logic? Anyway? This track probably never fantastic vocals, fantastic

1109
01:06:56,320 --> 01:06:59,640
Speaker 1: instrumental instrumentals, uh, and you will like you. If you

1110
01:06:59,680 --> 01:07:01,800
Speaker 1: do not like it, that maybe means you're two tents

1111
01:07:01,960 --> 01:07:05,960
Speaker 1: or something. But this should get you to side. All right. Well,

1112
01:07:06,000 --> 01:07:07,800
Speaker 1: the daily is that guys to the production to buy

1113
01:07:07,840 --> 01:07:10,240
Speaker 1: her radio for more podcasts for by her radio, visit

1114
01:07:10,640 --> 01:07:12,960
Speaker 1: her radio, Apple Apple podcast or wherever you listen to

1115
01:07:12,960 --> 01:07:15,560
Speaker 1: your favorite shows. That is going to do it for

1116
01:07:16,160 --> 01:07:18,520
Speaker 1: us for this morning. We will be back in this

1117
01:07:18,640 --> 01:07:20,560
Speaker 1: afternoon to tell you what's trending, and we will talk

1118
01:07:20,640 --> 01:07:25,120
Speaker 1: to you all then bye bye. It sounds like this

1119
01:07:25,320 --> 01:07:28,400
Speaker 1: and I don't know what to do. I thought of

1120
01:07:28,520 --> 01:07:31,680
Speaker 1: moving forward comes with the potential fell moves on you.

1121
01:07:31,880 --> 01:07:34,720
Speaker 1: Sometimes it has been wishing that we never even me

1122
01:07:34,800 --> 01:07:44,080
Speaker 1: because if that was the case, Sperver's probably a couple

1123
01:07:44,080 --> 01:07:47,960
Speaker 1: of ways, because your special second chance and I love

1124
01:07:48,080 --> 01:07:50,720
Speaker 1: like this, you probably not. Gotta admit I'm not the

1125
01:07:50,800 --> 01:07:56,000
Speaker 1: best of being a face like a weather love. I'm

1126
01:07:56,040 --> 01:07:58,680
Speaker 1: just trying to be No one might not be clever

1127
01:07:59,680 --> 01:08:01,080
Speaker 1: learned on the path side