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

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Speaker 1: Episode three of D day LEYZ eight Geist, the production

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Speaker 1: of I Heart Radio. This is a podcast where we

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Speaker 1: take a deep dive into America's shared consciousness and say,

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Speaker 1: officially off the top, fuck Coke Industries, as in the

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Speaker 1: Koch Brothers in f Fox News. It's Wednesday, November two

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Speaker 1: thousand nineteen. My name is Jack O'Brien, a k shot

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Speaker 1: through the heart and you're dying, darling. You give love O'Brien. Yeah,

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Speaker 1: courtesy if Hannah Soultist, and I'm thrilled to be joined

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Speaker 1: as always by by co host Mr Miles Rest. Starting

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Speaker 1: lineup for the Los Angeles Baker's Labong James Anthony Vape.

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Speaker 1: This Danny Green Crush can't bake like this called well

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Speaker 1: Dope and Javail smoke trees can't bake like this, fort

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Speaker 1: can't bake like can't bake like this. That is a stretch.

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Speaker 1: They also do one for the Clippers, but there's only

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Speaker 1: one team in this city, so we will you're not

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Speaker 1: even gonna use the Clippers one. I mean, I'll read it.

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Speaker 1: It's a it's an unfortunate franchise in this city that

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Speaker 1: has had to live in the Purple and Bolts Championship.

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Speaker 1: We'll see you. Let's look at the can and uh,

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Speaker 1: we've got how high Leonard Green, crack Path smokerly dude,

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Speaker 1: Indie could do bits Midnight Tooker, Maurice Mother Grass Harglass.

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Speaker 1: Who are those from? Uh? These are from Matt Dick

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Speaker 1: at Matt Dick. Though, well done, Matt Dick. And we're

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Speaker 1: through to be joined in our third seat by the

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Speaker 1: hilarious comedian Mike Feeney. Hey, how's it going. Welcome, Welcome

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Speaker 1: to l A. Yeah, this is a great it's a

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Speaker 1: good city so far. There was a there was a

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Speaker 1: montage with the Hollywood sign, women in bikini's all blading

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Speaker 1: on the thenice boardwalk, and then you showed up here. Yeah.

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Speaker 1: I mean I I literally my first hour here yesterday.

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Speaker 1: I just someone told me to go get lunch somewhere

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Speaker 1: because I had time to kill before I could check in.

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Speaker 1: I was like, why don't I go? Why don't I go?

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Speaker 1: Somebody goes to check out that Fountain Coffee Room place

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Speaker 1: and that Beverly Hills Hotel thing. It's like some downstairs

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Speaker 1: you know whatever. So I walk in there and sit

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Speaker 1: down I'm like, oh, this is pretty you know, twenty

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Speaker 1: five dollars for a sandwich. I'm like, all right, I'm

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Speaker 1: officially in Los Angeles. Yeah. And then it became even

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Speaker 1: more like because like two seconds later, uh, Justin Bieber

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Speaker 1: and his wife walk in and sit right next to

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Speaker 1: me the entire meal, and I'm just like yeah, and like,

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Speaker 1: nobody bothers them, nobody talks to them, and I'm just like,

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Speaker 1: this is the most l a I've ever felt. You know.

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Speaker 1: Did they pray over whatever they ordered? Dude? I mean,

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Speaker 1: I gotta be honest. They there wasn't a lot of

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Speaker 1: talking between them, you know, I don't know what was. Yeah,

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Speaker 1: a lot on their phones and just there was some

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Speaker 1: there was some tension there, but they I mean, I

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Speaker 1: gotta tell you, Haley is I mean, just breath down.

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Speaker 1: I didn't. I didn't immediately recognize who she was. But

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Speaker 1: when she walked in, you know when you just see

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Speaker 1: somebody and you go, I don't know who that is,

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Speaker 1: but I know they're wildly famous, you know what I mean,

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Speaker 1: like just the media and then he and then he

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Speaker 1: walked in and then I was like, oh, that's of course. Yeah, yeah,

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Speaker 1: but you know they seemed pretty nice. I guess a

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Speaker 1: skateboarder on skid row and yeah, cool, that's just the

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Speaker 1: new vibe. Like is that I wonder younger listeners, is

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Speaker 1: it normal just to be on your phones all the time?

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Speaker 1: Is that like the new younger people ship? I get

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Speaker 1: I feel bad when I'm on the phone too much,

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Speaker 1: like around somebody, but it feels normal. That's where I

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Speaker 1: get weirded out, where it's like, well, you're doing your

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Speaker 1: thing on your phone. I'm doing my thing, but it's

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Speaker 1: like this used to not be well, you know what

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Speaker 1: it is too, which is like this is why I

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Speaker 1: feel like kids are more socially awkward now, is because

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Speaker 1: they don't whenever they're in like a party and then

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Speaker 1: there's an awkward moment of silence and they don't know

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Speaker 1: what to do. They bust the phone. It's like their

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Speaker 1: have it instead of having to overcome that weirdness by

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Speaker 1: either making conversation. I'm talking to somebody, Yes it is,

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Speaker 1: which is so bizarre to me. But it's like, you know,

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Speaker 1: I'm sure it's it's great to have, for sure, but

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Speaker 1: I think it's stunting, you know, social growth. I forgot

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Speaker 1: my phone actually, precisely in this kind of situation on

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Speaker 1: going to a party where I didn't really know many people,

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Speaker 1: and at first it's like, oh fuck, I'm gonna have

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Speaker 1: to pantomime having a phone because I'm not talking to nobody.

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Speaker 1: And then I just like was able to just kind

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Speaker 1: of sit when you actually don't have it. I didn't

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Speaker 1: even think about I was like, you know, what what's

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Speaker 1: up man? In that discomfort, Yeah, asked the uncomfortable question

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Speaker 1: of Hi, what's your name? Hi? Who are you doing?

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Speaker 1: I love when somebody takes the phone out and they

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Speaker 1: hold it, but they don't like as you're talking to them,

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Speaker 1: they kind of like have it, you know, like whatever.

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Speaker 1: Whenever this takes a turn, I'm going in. Yeah, you

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Speaker 1: are one boring story, but part of Long Island you from.

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Speaker 1: I'm from Mountain Stuff, a county way out and where

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Speaker 1: Bagel Boss is from. Yeah, exactly. Actually it's him. Yeah.

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Speaker 1: I mean, I mean honestly, when I saw that video,

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Speaker 1: and everybody that I know from Long Island, when we

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Speaker 1: saw that video, we were like, this is just the

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Speaker 1: first time someone's pressed record. This is this is such

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Speaker 1: a normal occurrence, Like not just that guy, but I mean,

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Speaker 1: like that's just people fighting and bag and like in

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Speaker 1: Bagel stories about being short and Italian, like it's just

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Speaker 1: such like it didn't I was like, oh yeah. And

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Speaker 1: then the fact that they went so viral and what

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Speaker 1: I'm curious for for a Suffolk County native in his

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Speaker 1: videos where he's like, I'm trying to fuck all right,

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Speaker 1: I'm going on this boat email my manager only women

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Speaker 1: from Suffolk County, okayel post fame Bagel Boss. When he's

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Speaker 1: just trying to funk on I g Live and saying

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Speaker 1: it had to be from Suffolk County? Is that is

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Speaker 1: he thinking of a specific kind of woman when he says,

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Speaker 1: or is it that it's just local? No? No? No?

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Speaker 1: So what is he a specific type of uh? Suffolk?

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Speaker 1: I mean women? Long Island women in general, for the

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Speaker 1: most part, are like Italian brunettes, blonds only with the highlights.

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Speaker 1: You know what. I didn't know? I like, I didn't

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Speaker 1: know that. I always grew up and I was like, man,

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Speaker 1: I really am attracted to blonde women with dark eyebrows.

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Speaker 1: And then I was like, oh, I eventually realized like, oh,

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Speaker 1: that's just a brunette woman with blonde hair. That's what

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Speaker 1: bond there, that's how that works. But no, Suffolk County

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Speaker 1: would mean uh usually overly tan brunette, maybe with some

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Speaker 1: like you know, blonde highlights. And because Nassau County is

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Speaker 1: known more for money, so also Suffolk County is a

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Speaker 1: little more trashy, so there's a little more like middle

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Speaker 1: class lower middle class. Uh you know, where's Teresa Capital

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Speaker 1: from Long Island medium? Uh that I'm not sure because

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Speaker 1: I feel like that's what I'm envisioning. But yeah, that's

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Speaker 1: like a level five Suffolk County fun A comedian friend

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Speaker 1: of my New York City comedians, very funny Brendan Tagalo,

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Speaker 1: has a joke where's very I think, which sums it

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Speaker 1: up very well. Where it's like Long Island women like

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Speaker 1: to do a thing. Would it be like like let

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Speaker 1: me suck your balls, you know what I mean, like

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Speaker 1: a w you know, like well, uh, shout out to

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Speaker 1: the Long Island medium who we all are imagining sucking

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Speaker 1: someone's now. My mom is is all into those things too,

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Speaker 1: all of the Long Island medium John Edwards. If you

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Speaker 1: can tell her that you know a pass pet is okay,

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Speaker 1: She'll give you money. You know. It's uh. He loved

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Speaker 1: Lucky alright, Mike, we're gonna get to know you a

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Speaker 1: little bit better in a moment. First, we're gonna tell

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Speaker 1: our listeners a couple of things we're talking about. We're

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Speaker 1: gonna talk about Singles Day eleven eleven, which is a

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Speaker 1: thing I do not know about, but it's the biggest

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Speaker 1: shopping day in the world. We're gonna do a quick

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Speaker 1: check in with a couple of little details of the

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Speaker 1: impeachment story. I'm talking about impeaching this creed because that

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Speaker 1: is going live tomorrow. Uh, today, today, today, it's been

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Speaker 1: going on, but right, we don't know. You're probably getting

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Speaker 1: update later today. Yeah, possibly, Oh yeah, we're gonna do

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Speaker 1: an update later today. I guess check it out. We

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Speaker 1: did one downloads. Uh, we're gonna talk about We're gonna

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Speaker 1: pour one out for Pete King. We're going to check

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Speaker 1: in with the CEO of Uber. Uh. Look at a

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Speaker 1: scammer who's not even trying that hard to scam, just

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Speaker 1: like has her face on the front of a fake

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Speaker 1: Time magazine. Level scammer strolling her way into the State Department.

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Speaker 1: In the State Department. Uh. And then we're gonna get

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Speaker 1: into some fun stuff about Michael Jordan's sonic the hedgehog. Uh,

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Speaker 1: and the fact that we're genetically predisposed to hate certain vegetables.

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Speaker 1: Every parent to mute this section when you're if your

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Speaker 1: child is in the room because they have scientific evidence

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Speaker 1: why they don't work with it. Yeah, Yeah, I feel

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Speaker 1: like that's a lot a lot of stuff that like

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Speaker 1: kids were saying, we're gonna have scientific proof that they

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Speaker 1: were not. Yeah. But first, Mike, we like to ask

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Speaker 1: our guests, what's something from your search history that's revealing

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Speaker 1: about who you want? Like, you know, what birthday cake

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Speaker 1: for breakfast is actually very healthy for a small child.

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Speaker 1: I mean, as we're gonna find out about Michael Jordan's like,

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Speaker 1: we don't know shit about what's good for certain people.

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Speaker 1: Certain people can do whatever the funk they want. Famed, famed,

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Speaker 1: well now disgraced, famous comedian Bill Cosby. I used to

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Speaker 1: have a thing about how he was saying the cake

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Speaker 1: was it's got everything, it's got eggs, it's got milk,

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Speaker 1: It's like it's all good for you. Any raped a

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Speaker 1: bunch of people. So um, anyway, my Google search history,

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Speaker 1: here's the thing that you guys should know about me.

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Speaker 1: I am I procrastinate a lot. So one thing that

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Speaker 1: I did, which is embarrassing to admit, is that I

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Speaker 1: literally spent thirty five minutes looking at like dogs that

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Speaker 1: I could adopt, like I like went through like filtered.

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Speaker 1: It was really like getting into it just to procrastinate

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Speaker 1: having to scoop the cat litter in my apartment from

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Speaker 1: having two cats. So I was like, let me just

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Speaker 1: would getting a dog be easier than scooping cat litter?

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Speaker 1: Like that's that's I couldn't even which is like catada,

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Speaker 1: the most low maintenance animals of all time, And I

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Speaker 1: was like, what's got it up after themselves? Right? Got

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Speaker 1: a newborn puppy that's probably less, you know. But I

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Speaker 1: also I google things like wildly specific questions that I

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Speaker 1: have and I've never not had a like a result yet,

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Speaker 1: you know what I mean, Like no result there, Like

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Speaker 1: you know it'll be like, hey, I just spilt a

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Speaker 1: great fruit seltzer on my PlayStation and now it's in

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Speaker 1: the left control or how do I get it out?

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Speaker 1: And there's three thousand results of that. That's what's yeah, yeah,

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Speaker 1: very much. It's one of my favorite things in movies

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Speaker 1: is when somebody google something and it's a zero results,

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Speaker 1: and it's like that has not happened in the last

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Speaker 1: I'm sure you could think of a combination of words

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Speaker 1: that would probably like they'll like google someone's name and

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Speaker 1: they'll be like zero h are you? Uh? Yeah, I

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Speaker 1: suppose so in terms of my own like comment, like

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Speaker 1: if I said, if I asked you would if you

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Speaker 1: would describe yourself as a perfectionist, would that resonate with

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Speaker 1: you little? Only in terms of like my work, you

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Speaker 1: know what I mean? Like if I if I'm putting

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Speaker 1: out like videos or doing stuff, I'm very you know,

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Speaker 1: very hard on that. But otherwise, I mean sometimes procrastination

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Speaker 1: is a trait in people who are perfectionist. Okay, yeah,

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Speaker 1: I get like that too. For sure. I will literally,

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Speaker 1: like you be like, what's what's thed? Like the other

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Speaker 1: option to actually doing this thing that solve my problems

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Speaker 1: resonated with me? What does something you think is underrated? Okay? Um, well,

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Speaker 1: first off, I'll give you a local one and then

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Speaker 1: a universal one. Just from being in Los Angeles for

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Speaker 1: twenty four hours, I'm gonna say walking is underrated here

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Speaker 1: because I walked yesterday from Beverly Hills to West Hollywood.

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Speaker 1: And when I told people that, they act it like

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Speaker 1: I was Forrest Gump that just got done with the cross,

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Speaker 1: Like someone threw a foil blanket over me. I was

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Speaker 1: like what I was like, Yeah, I was like, it's

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Speaker 1: two miles. They're like two miles like Zuber down. You're like,

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Speaker 1: it's just it's seventy three degree. It's the perfect walking weather. Um.

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Speaker 1: So that's what I would say is underrated here, but universally,

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Speaker 1: I gotta say I just I just like made this

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Speaker 1: connection recently. I have a thing where every time I

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Speaker 1: hear a helicopter, I have to like find it in

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Speaker 1: the sky, you know what I'm saying, Like I know

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Speaker 1: what it is, but I need to find it. Yeah.

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Speaker 1: And and not even because I think it's going to

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Speaker 1: be a threat. I'm just like, that's a helicopter, right,

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Speaker 1: and I got to see it. Yeah. And the feeling,

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Speaker 1: the feeling of finding it, for some reason, is such

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Speaker 1: a great feeling where you like, it's not a cat.

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Speaker 1: I love that, you know what I mean, Like, whatever

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Speaker 1: it is, we all have to find it. You've got

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Speaker 1: to find it in the sky to congratulate yourself. Yeah, right.

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Speaker 1: The one I really the small vic. Your eye sense

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Speaker 1: is when you know, like it's a big sound, so

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Speaker 1: you don't quite know the direction that's coming from when

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Speaker 1: you almost go it sounds like here, but I know

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Speaker 1: it's here. Yeah, and you look exactly that's right right. Yeah.

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Speaker 1: Growing up living underneath a flight path of an airport,

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Speaker 1: you hone those aircraft sound skills. But that's one thing

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Speaker 1: I really it's funny. I was in an uber recently

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Speaker 1: and the fucking I heard a fucking like heavy military

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Speaker 1: helicopter and I was like, oh, ship, what is that?

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Speaker 1: Like a chinook or something? And I look up and

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Speaker 1: I fucked up. I looked the wrong way, and then

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Speaker 1: it was the other one. And in my mind, I said,

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Speaker 1: you knew it was the other side. You fool broke

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Speaker 1: your trying to look out. There's something forever Like it's

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Speaker 1: like snots being able to scratch an itch if if

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Speaker 1: you don't find it, you know, and then it's out

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Speaker 1: of your sight mind you're like, oh, for sure it hurts.

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Speaker 1: There's one thing I know. It's the sound of a helicopter. Yeah,

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Speaker 1: that's a real man's man. Uh. These are things that

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Speaker 1: become relevant again when you have like a three year

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Speaker 1: old three year old fucking love helicopters. It's like, such

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Speaker 1: a helicopter flies? Oh yeah, well any large mechanical flying

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Speaker 1: through the sky you ever taken to, like the fire department,

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Speaker 1: like when they're just out there for free. Just a

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Speaker 1: construction site is like, we'll stop it, We'll pull over

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Speaker 1: and just look at a construction site for like twenty minutes.

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Speaker 1: He knows all the different all the different trucks, crane, truck,

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Speaker 1: telescope and crane like bulldoze are different types of excavators.

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Speaker 1: Like I don't even know. Yeah, I didn't know that.

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Speaker 1: What is something you think is overrated? Man? It's I mean,

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Speaker 1: it's mostly technology, technology based stuff, but like I hate

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Speaker 1: I hate read receipts. I thought I loved him, but

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Speaker 1: I hate him. You know when they you know, you

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Speaker 1: can have those on the iPhone when it says red,

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Speaker 1: because I thought I was like, oh good, Because if

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Speaker 1: I text somebody, you know, sometimes they don't write back

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Speaker 1: and you get mad and you go, what the hell

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Speaker 1: and then you go, oh, they didn't read it yet,

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Speaker 1: so it's okay. But you can get away from that,

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Speaker 1: you know what I mean, Like you can you can

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Speaker 1: check it on your computer and not check it on

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Speaker 1: your phone and then it may not show up as

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Speaker 1: red or you can see that it's there, but then

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Speaker 1: they still go on social media, so you're like, now

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Speaker 1: you're actively ignoring it, which drives me crazy. And also

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Speaker 1: the insecurity of like is there anything worse than when

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Speaker 1: you reach out to somebody and this isn't This also

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Speaker 1: goes for like Instagram or Facebook and you get that

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Speaker 1: scene and then they don't right back, and it's just

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Speaker 1: like triggers every insecurity in your body, or you just

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Speaker 1: want to be like, well, you know what fun? You know,

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Speaker 1: like I was inviting you to a wedding and now

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Speaker 1: you know it's like I'm laughing at you to ask yeah,

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Speaker 1: yeah exactly, like sorry I was in a meeting and

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Speaker 1: you're like, oh never mind. You know you really for

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Speaker 1: a person who like I overthink things, it really makes

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Speaker 1: me go from one to attend. You know, Now, if

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Speaker 1: something shows up as a push notification and you you

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Speaker 1: read it, but you don't like open it back up,

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Speaker 1: does that give like it can't tell? Usually yeah, you

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Speaker 1: have to open and go into it so they could

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Speaker 1: see it, swipe it off their thing and then not

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Speaker 1: open it and then just leave it there to die. Yeah,

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Speaker 1: I did that thing where I I got into a

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Speaker 1: fight with somebody last week and I I like, uh,

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Speaker 1: I was advised. It was like, dude, the smart thing

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Speaker 1: you should probably just you should just like apologize. So

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Speaker 1: I was like swallowed my pride, sent this like big

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Speaker 1: long apology started with me like I'm sorry, man, send

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Speaker 1: this whole thing. Read receipts on still hasn't read it

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Speaker 1: as of this morning, and this was last week, and

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Speaker 1: it's it's making me blood red mad, and I'm just

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Speaker 1: I'm leaving it alone. But it's like killing me because

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Speaker 1: every couple, you know, once a day, I'll go back

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Speaker 1: and look and it still just says delivered and not read.

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Speaker 1: And it's like I see It's like you know, you

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Speaker 1: post something, you go on their Instagram and you see

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Speaker 1: them like on their laptop with I message open in

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Speaker 1: a separate window, and you're like, so you saw it,

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Speaker 1: So you saw it. Yeah, i't even want to apologize,

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Speaker 1: you know what I mean, like you get so mad, infuriating,

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Speaker 1: but yeah, all that stuff is like they're people like

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Speaker 1: I just I just got this new iPhone and they

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Speaker 1: tried to upsell me on the Apple Watch that was like,

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Speaker 1: they're big, they get the watchet and I was like,

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Speaker 1: I don't. I'm like, I'm sped thing essentially, like on

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Speaker 1: this phone. I want to use it. And they're like yeah,

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Speaker 1: but then if you don't have your phone and you

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Speaker 1: can use it your watch, I was like, if I

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Speaker 1: don't have my phone, the days over right, the world

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Speaker 1: nothing is getting done until the phone has been reclaimed,

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Speaker 1: all right, So I'm not gonna just just wandering. Yeah, exactly.

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Speaker 1: So you can talk into this too, so I don't know. Yeah,

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Speaker 1: I mean that's cool. If you're not doing that, well

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Speaker 1: that's fine. You can just say that. Yeah, what kind

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Speaker 1: of sales tactic is this? I get if you're like

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Speaker 1: an active like if you want to use it for

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Speaker 1: like the heart monitor stuff or whatever. But I'm like,

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Speaker 1: if the difference is keeping it in my pocket or

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Speaker 1: using it's like, well, I'm just paid for this, I

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Speaker 1: want to look at it, you know, so just you

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Speaker 1: know whatever. But yeah, they cannot. They can also solve

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Speaker 1: your murder apparently. Oh yeah that's the y avenge me, Miles.

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Speaker 1: My Apple watch ever catches somebody murder? Yeah you have? Yeah,

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Speaker 1: I got one. You want to see a terrible tan line.

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Speaker 1: Oh my god, you can see your veins that is

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Speaker 1: as so tight, very tight. Yeah, it's a little too tight, Mike.

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Speaker 1: What is a myth? What something people think is true

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Speaker 1: you know to be false? Okay, well, I mean the

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Speaker 1: obvious one here is obviously you know, Kirk Obain was murdered.

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Speaker 1: But if we're you know, before we instead of going

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Speaker 1: down that rabbit hole, I will say, uh, Jeffrey, Yeah,

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Speaker 1: of course. I mean. But in regards to like vegan stuff,

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Speaker 1: where people are like, you know, like vegan, a lot

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Speaker 1: of people like vegan ship is better uh for you?

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Speaker 1: I don't. I don't think that's true, you know. I

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Speaker 1: think it's it depends on what you have. But like

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Speaker 1: this impossible burger and all that stuff that's out right now,

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Speaker 1: it's all it's so much processed stuff in order to

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Speaker 1: make it look feel squeezed, taste like actual meat. And

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Speaker 1: then like I go into uh this ice cream. I

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Speaker 1: don't know if they have them in Eli, but Thissess

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Speaker 1: ice cream place in New York Van Lewin's it's like

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Speaker 1: this like high end like hip story ice cream Press,

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Speaker 1: and they do they do vegan ice cream and then

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Speaker 1: they do regular ice cream sign go in there, and

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Speaker 1: I'm like, you know, I'm I'm watching my figure. Maybe

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Speaker 1: I'll get like some vegan ice cream that's probably healthier.

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Speaker 1: And I say to the guys, like this, this ice

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Speaker 1: cream is healthier, right, And he was like, no, this

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Speaker 1: is significantly worse for you because he's like the amount

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Speaker 1: of it's like coconut milk and all the stuff we

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Speaker 1: have to put in to make it taste like ice cream.

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Speaker 1: He's like, there's way more calories and way more sugar

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Speaker 1: in this than actual ice cream. And I think that's

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Speaker 1: been this sort of debate, especially around the meat playing

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Speaker 1: based meat options. It's sort of like what's the trade

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Speaker 1: off in terms of what we're doing to synthesize all

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Speaker 1: this stuff to get it to this level versus the benefits.

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Speaker 1: I mean, I get the I think the carbon argument

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Speaker 1: is probably the most potent in terms of like, uh,

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Speaker 1: like a vegan diet, like the environmental impact. But yeah,

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Speaker 1: I think at a certain level, unless you're just just

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Speaker 1: if you're not banging just straight vegetables, then you're just

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Speaker 1: getting the process. But it look each their own, yeah,

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Speaker 1: and and again if you're doing it for like animal

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Speaker 1: rights reasons stuff, like that. That's you know, all power,

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Speaker 1: more power to you. But it's just when people try

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Speaker 1: to be like, well it's a healthier lifestyle, it's like,

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Speaker 1: well I don't I've never seen Well there's first, there's

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Speaker 1: levels to it, because I you know, I have friends

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Speaker 1: who eat vegan and eat the like all junk vegan

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Speaker 1: food like, and they're they're not really in it for

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Speaker 1: like that. They're like, well, you know, I don't even meat.

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Speaker 1: I've never seen an incredibly in shape vegan person. I

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Speaker 1: really that's true. And everywhere. Yeah, but I feel like

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Speaker 1: there are always people who get really in really good

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Speaker 1: shape and then go vegan right after that, you know

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Speaker 1: what I mean, or the first and people Keto is

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Speaker 1: pretty big now in this city. Is just the just

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00:20:29,880 --> 00:20:32,639
Speaker 1: rife with people on every kind of diet imaginable. So

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00:20:32,800 --> 00:20:36,400
Speaker 1: I've seen it all. Yeah. Yeah, there's some professional athletes

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Speaker 1: who have like gone vegan. I think they have a

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Speaker 1: lot of mm A people or vegan. Not a lot,

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00:20:41,359 --> 00:20:43,320
Speaker 1: but that's a good, big thing that's happening even in

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Speaker 1: mm A. Yeah, that's I don't know. That's what Joe

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Speaker 1: Rogan was telling me. Yeah, we're friends with Joe after Yeah, Castors. Yeah. Yeah,

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00:20:54,160 --> 00:20:55,719
Speaker 1: we talked like once a week. I mean he does

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Speaker 1: most of the talking three four hours. All right, Mike,

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Speaker 1: before we get to the news stories, Hey Miles, it's

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Speaker 1: Jack right now. I want to talk to Miles here

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Speaker 1: about Hello Fresh product that he and I have both

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Speaker 1: had the pleasure of sampling over the past couple of months. Favorite,

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Speaker 1: let's say, our favorite recipe on three one two three.

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Speaker 1: Are you serious? Yeah, for sure. I was so good.

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Speaker 1: I really it was probably the best thing I've ever

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Speaker 1: made myself. Me too, well, actually, yes it is. It's

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00:21:32,160 --> 00:21:36,240
Speaker 1: probably yeah, you know you're pretty good. Yeah, but this

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00:21:36,560 --> 00:21:38,840
Speaker 1: was really easy to do. What I really like about

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Speaker 1: Hello Fresh was like it's just the perfect amounts. You

420
00:21:41,440 --> 00:21:44,440
Speaker 1: can't really mess it up. And it's also flexible. So

421
00:21:44,480 --> 00:21:46,440
Speaker 1: if you have like your you get your weekly orders,

422
00:21:46,480 --> 00:21:49,080
Speaker 1: you can add extra meals like maybe those maybe it's

423
00:21:49,119 --> 00:21:51,080
Speaker 1: not hitting enough, and you have a little more space

424
00:21:51,280 --> 00:21:52,920
Speaker 1: in the tank, so you can add stuff on like

425
00:21:53,000 --> 00:21:55,200
Speaker 1: garlic bread or cookie dough so you have a little

426
00:21:55,240 --> 00:21:58,120
Speaker 1: dessert or a little more starch. And you can even

427
00:21:58,200 --> 00:22:01,600
Speaker 1: change your delivery days because I especially, you know, sometimes

428
00:22:01,680 --> 00:22:03,440
Speaker 1: you have time to make it, sometimes you don't, and

429
00:22:03,480 --> 00:22:04,760
Speaker 1: you don't want to have a bunch of food piling

430
00:22:04,840 --> 00:22:07,040
Speaker 1: up in your refrigerator. So they're a little more flexible.

431
00:22:07,160 --> 00:22:09,639
Speaker 1: I know, it's less waste. You guys, it's good for

432
00:22:09,800 --> 00:22:12,439
Speaker 1: the environment, it's good for you. It's good for your

433
00:22:12,480 --> 00:22:15,040
Speaker 1: family if you have a family. Uh, and it's a

434
00:22:15,080 --> 00:22:16,960
Speaker 1: lot of fun to do. Whatever. Rub that my face.

435
00:22:18,280 --> 00:22:20,520
Speaker 1: You don't have to go to the grocery store, which

436
00:22:20,560 --> 00:22:22,960
Speaker 1: I love because I do the grocery shopping. And it's

437
00:22:23,000 --> 00:22:27,880
Speaker 1: all very easy, step by step even I could follow it. Yeah,

438
00:22:28,000 --> 00:22:31,280
Speaker 1: pre measured ingredients, pre measured you just know, Jack cut

439
00:22:31,359 --> 00:22:34,720
Speaker 1: up these two garlics dumps in bowl. Great, it's a

440
00:22:34,760 --> 00:22:38,440
Speaker 1: great product. H And right now you can get nine

441
00:22:38,520 --> 00:22:40,960
Speaker 1: free meals with Hello Fresh by going to Hello Fresh

442
00:22:41,040 --> 00:22:43,720
Speaker 1: dot com slash t d z and using code t

443
00:22:43,960 --> 00:22:47,840
Speaker 1: d Z nine. That's nine free meals with Hello Fresh

444
00:22:47,920 --> 00:22:50,000
Speaker 1: by going to Hello Fresh dot com slash t d

445
00:22:50,080 --> 00:22:53,679
Speaker 1: Z nine and using code t d Z nine. Boom,

446
00:22:53,880 --> 00:22:56,640
Speaker 1: nine free meals. Get it in all right. Now, let's

447
00:22:56,680 --> 00:23:03,080
Speaker 1: talk about Ali Baba, which is the Chinese Amazon. Basically

448
00:23:03,200 --> 00:23:09,440
Speaker 1: would that be e commerce behemoth? So, uh, they have

449
00:23:09,960 --> 00:23:15,560
Speaker 1: a sales day called Singles Day eleven. Eleven is it

450
00:23:15,760 --> 00:23:18,879
Speaker 1: for is it basically like a reverse Valentine's Day. Essentially

451
00:23:18,960 --> 00:23:22,920
Speaker 1: it started in like at a Chinese university in this

452
00:23:23,040 --> 00:23:25,480
Speaker 1: idea that eleven eleven was Singles Day because it was

453
00:23:26,040 --> 00:23:29,800
Speaker 1: four ones, the loneliest number. Um, And yeah, it just

454
00:23:29,920 --> 00:23:32,720
Speaker 1: became a thing to either be like, yo, we're celebrating

455
00:23:32,760 --> 00:23:35,880
Speaker 1: that we're single, but has evolved into also a day

456
00:23:35,920 --> 00:23:39,200
Speaker 1: to celebrate your relationship. They say in China, four thousand

457
00:23:39,280 --> 00:23:42,320
Speaker 1: couples married in Beijing on this day in twenty eleven,

458
00:23:42,400 --> 00:23:45,040
Speaker 1: compared to the average of seven hundred a day. So

459
00:23:45,320 --> 00:23:47,560
Speaker 1: you know, some people like that as a as a day,

460
00:23:47,600 --> 00:23:50,080
Speaker 1: but I did not. I didn't know that. Essentially, over

461
00:23:50,160 --> 00:23:55,080
Speaker 1: time had basically become Black Friday on steroids. It's Black

462
00:23:55,160 --> 00:23:59,359
Speaker 1: Friday for the entire Chinese economy. And it's why like

463
00:23:59,440 --> 00:24:04,000
Speaker 1: it puts Friday to shame. Yeah, yesterday or two days ago,

464
00:24:04,520 --> 00:24:07,760
Speaker 1: they sold well, I guess last year for Singles Day

465
00:24:07,760 --> 00:24:11,280
Speaker 1: they sold thirty eight billion. This year they did so.

466
00:24:11,440 --> 00:24:14,159
Speaker 1: This year on Singles Day they sold thirty eight billion

467
00:24:14,320 --> 00:24:18,760
Speaker 1: dollars in merchandise. And for perspective, Black Friday in two

468
00:24:18,800 --> 00:24:23,760
Speaker 1: thousand eighteen in the US did six point two So yeah,

469
00:24:24,280 --> 00:24:26,000
Speaker 1: I mean, look when they have when you have the

470
00:24:26,320 --> 00:24:29,359
Speaker 1: hugest website, biggest website promoting it, and apparently they were,

471
00:24:29,520 --> 00:24:32,639
Speaker 1: like live streaming was another huge angle to promoting all

472
00:24:32,680 --> 00:24:35,120
Speaker 1: these sales. Like live streams have become more and more

473
00:24:35,200 --> 00:24:38,520
Speaker 1: part of like, you know, promoting any kind of commerce

474
00:24:39,000 --> 00:24:42,639
Speaker 1: or consumption. Uh yeah, it just made it the I

475
00:24:42,680 --> 00:24:47,040
Speaker 1: think it was up from last year. So yeah, and

476
00:24:47,119 --> 00:24:48,959
Speaker 1: it wasn't just like it was all kinds of products.

477
00:24:49,000 --> 00:24:50,200
Speaker 1: A lot of people are like, well was it just

478
00:24:50,240 --> 00:24:52,879
Speaker 1: all Chinese products? Like no American everything that's basically on

479
00:24:52,960 --> 00:24:57,840
Speaker 1: their was was up for grabs at deep discounts. It's

480
00:24:57,880 --> 00:25:01,000
Speaker 1: a wile that they can just keep creating holidays to

481
00:25:01,080 --> 00:25:03,200
Speaker 1: be like you know, like Valentine's Day and you know,

482
00:25:03,280 --> 00:25:06,200
Speaker 1: the Singles Day, all these like contrived, like you know,

483
00:25:06,359 --> 00:25:09,919
Speaker 1: consumer based holidays, and then people just eat him up

484
00:25:10,080 --> 00:25:12,119
Speaker 1: and eat him up if there's a sale. I mean,

485
00:25:12,200 --> 00:25:16,720
Speaker 1: it could be like it's fucking the third Thursday. Yeah,

486
00:25:17,600 --> 00:25:19,440
Speaker 1: but that's the thing. And that's the thing too, that's

487
00:25:19,480 --> 00:25:21,520
Speaker 1: like people don't get. It's like if you even the

488
00:25:21,600 --> 00:25:23,760
Speaker 1: people that tweet about it or whatever that are like

489
00:25:23,880 --> 00:25:26,399
Speaker 1: this is so dumb, but then they're still talking about

490
00:25:26,440 --> 00:25:28,760
Speaker 1: it like you're just making it, you're just spreading it,

491
00:25:28,800 --> 00:25:33,160
Speaker 1: and you're spreading the virus. Yeah, it's viral content. Yeah,

492
00:25:33,359 --> 00:25:37,240
Speaker 1: I mean thirty eight billion though, that's just so it's

493
00:25:37,280 --> 00:25:40,040
Speaker 1: incredible to just think about that, Like, you know, Black

494
00:25:40,119 --> 00:25:42,479
Speaker 1: Friday just in the US is so big, but obviously

495
00:25:42,520 --> 00:25:44,840
Speaker 1: that's the difference in population size. But yeah, that you

496
00:25:44,920 --> 00:25:47,479
Speaker 1: do thirty eight billion in a day. And a lot

497
00:25:47,520 --> 00:25:49,320
Speaker 1: of other companies were getting in on it too, Like

498
00:25:49,480 --> 00:25:51,200
Speaker 1: I didn't realize at first. I was like, wait, why

499
00:25:51,200 --> 00:25:53,560
Speaker 1: are what the fund was? Singles? It really caught me

500
00:25:53,640 --> 00:25:55,640
Speaker 1: off guard because I saw other websites here you get

501
00:25:55,640 --> 00:25:58,440
Speaker 1: your singles day sales here. Had no idea, but it

502
00:25:58,520 --> 00:26:00,280
Speaker 1: makes sense, man, because you're on your v P n

503
00:26:00,840 --> 00:26:04,240
Speaker 1: uh on my VPN cruising, you know, trying to look

504
00:26:04,240 --> 00:26:06,800
Speaker 1: at highlights from Europe and things like that. Even like

505
00:26:06,920 --> 00:26:08,920
Speaker 1: someone told me I should get a VPN, and I

506
00:26:09,080 --> 00:26:10,680
Speaker 1: just that's the thing. You have to pay a month

507
00:26:10,760 --> 00:26:13,320
Speaker 1: monthly for that or yearly, but I mean, if you can,

508
00:26:13,480 --> 00:26:15,960
Speaker 1: that's a really one of the better ways to protect

509
00:26:16,000 --> 00:26:18,879
Speaker 1: your your data. That's one of those things like that,

510
00:26:19,119 --> 00:26:22,040
Speaker 1: And like there's people that have those like apps that

511
00:26:22,119 --> 00:26:24,720
Speaker 1: are like, oh, I store all my passwords in this

512
00:26:24,920 --> 00:26:29,800
Speaker 1: one super encrypted place, and you're like, I mean, is it,

513
00:26:30,000 --> 00:26:31,200
Speaker 1: Like how do you you know what I mean? Like

514
00:26:31,320 --> 00:26:33,760
Speaker 1: you just kind of take their like if somebody there's

515
00:26:33,800 --> 00:26:36,720
Speaker 1: no way that at some point technology won't advance to

516
00:26:36,800 --> 00:26:39,760
Speaker 1: be able to hack into those one password thing and

517
00:26:39,800 --> 00:26:41,680
Speaker 1: then they just have all your passwords to everything. And

518
00:26:41,720 --> 00:26:43,959
Speaker 1: with VPN I guess it's like but there is there

519
00:26:44,040 --> 00:26:45,879
Speaker 1: no one more of a shield to put up between

520
00:26:45,920 --> 00:26:48,480
Speaker 1: you and like an Internet service provider and anyone trying

521
00:26:48,520 --> 00:26:51,919
Speaker 1: to understand what's actually happening with the that's being transmitted

522
00:26:51,960 --> 00:26:54,240
Speaker 1: on your But if somebody wanted to get in there,

523
00:26:54,400 --> 00:26:56,920
Speaker 1: like government or something like that, they could still The

524
00:26:57,040 --> 00:26:59,359
Speaker 1: Chinese government deaf because a lot of people in China

525
00:26:59,440 --> 00:27:02,240
Speaker 1: use vpn is to get around the Great Firewall. But

526
00:27:02,520 --> 00:27:05,760
Speaker 1: the government there is even getting a little bit savvyer

527
00:27:05,840 --> 00:27:07,960
Speaker 1: on how to track VPNs and things like that. But

528
00:27:08,000 --> 00:27:10,679
Speaker 1: I feel like the Chinese government they use they allow

529
00:27:11,040 --> 00:27:12,879
Speaker 1: like they know what's going on with the VPNs, but

530
00:27:12,960 --> 00:27:16,800
Speaker 1: they allow that because of for American business tourists, you know,

531
00:27:16,960 --> 00:27:19,000
Speaker 1: and that tourist bout American businessmen were coming in who

532
00:27:19,040 --> 00:27:21,240
Speaker 1: need to be able to send emails or go on.

533
00:27:21,359 --> 00:27:22,920
Speaker 1: You can still send your emails and things like that,

534
00:27:22,960 --> 00:27:25,120
Speaker 1: but there's certain websites you just can't get in China.

535
00:27:25,520 --> 00:27:27,399
Speaker 1: So that's when people use VPNs because they want to

536
00:27:27,440 --> 00:27:30,840
Speaker 1: look at, you know, the Western version of like YouTube

537
00:27:30,880 --> 00:27:34,719
Speaker 1: or whatever. They can't tell where you're coming from. All right, Uh,

538
00:27:34,880 --> 00:27:37,879
Speaker 1: something everybody's thinking and talking about today. Let's check in

539
00:27:37,960 --> 00:27:41,159
Speaker 1: with the impeachment story I'm talking about in this we're

540
00:27:41,240 --> 00:27:43,520
Speaker 1: here locked in this bunker, so we don't know what's

541
00:27:43,560 --> 00:27:48,480
Speaker 1: happening on TV right now, but just some stories leading

542
00:27:48,680 --> 00:27:52,960
Speaker 1: up to the televised testimony. So Conda Lisa Rice, you

543
00:27:53,040 --> 00:27:56,440
Speaker 1: remember her, Oh yeah, former Secretary of State. Yes, yes,

544
00:27:57,200 --> 00:28:03,800
Speaker 1: she's saying it's murky, but by sically implying that it's impeachable. Yeah,

545
00:28:03,840 --> 00:28:06,280
Speaker 1: the call. It's like she said, what I see now

546
00:28:06,560 --> 00:28:09,120
Speaker 1: right now troubles me. I see a state of conflict

547
00:28:09,160 --> 00:28:13,000
Speaker 1: between the foreign policy professionals and someone who says he's

548
00:28:13,040 --> 00:28:15,160
Speaker 1: acting on behalf of the president. But frankly, I don't

549
00:28:15,160 --> 00:28:19,080
Speaker 1: know if that's the case. It's troubling, It is deeply troubling.

550
00:28:19,480 --> 00:28:22,560
Speaker 1: You can come harder than that, right, So it's like

551
00:28:22,800 --> 00:28:27,200
Speaker 1: she's a prominent Republican but who was supposedly being thrown around.

552
00:28:27,240 --> 00:28:29,919
Speaker 1: Does it possible is she gonna like jump in if

553
00:28:30,000 --> 00:28:32,520
Speaker 1: he got impeached or like if he talk about that?

554
00:28:32,720 --> 00:28:36,760
Speaker 1: But when troubling is like the most cowardly criticism from

555
00:28:36,800 --> 00:28:38,920
Speaker 1: the right of the president. You always here, that's Susan

556
00:28:38,960 --> 00:28:44,160
Speaker 1: Collins go to it's troubling. It's troubling. Okay, is it bad?

557
00:28:44,360 --> 00:28:46,560
Speaker 1: Do you are you pushing back against this? Do you do?

558
00:28:46,960 --> 00:28:49,600
Speaker 1: You do you oppose this? Yeah? But there's this gap

559
00:28:49,720 --> 00:28:53,200
Speaker 1: that's opening up between the people who like, for instance,

560
00:28:53,280 --> 00:28:56,840
Speaker 1: Jesse Waters, who's the dude who went to Chinatown and

561
00:28:56,880 --> 00:29:01,080
Speaker 1: made a bunch of racist jokes like Fox News, Yeah

562
00:29:02,000 --> 00:29:09,000
Speaker 1: years ago. Uh, And so he is really confused why Drudge,

563
00:29:09,120 --> 00:29:13,480
Speaker 1: the Drudge Report is printing news about the impeachment like that.

564
00:29:13,760 --> 00:29:16,280
Speaker 1: He's like, why why is he publishing all these headlines

565
00:29:16,320 --> 00:29:19,640
Speaker 1: that are unfavorable to the president. So it's like you're

566
00:29:19,640 --> 00:29:22,080
Speaker 1: seeing the same thing with like Conda Liza Rice and

567
00:29:22,240 --> 00:29:25,440
Speaker 1: like Matt Drudge. It's these right wing people who are

568
00:29:25,520 --> 00:29:29,480
Speaker 1: still like, well, but I'm still in reality right something. Yeah,

569
00:29:29,520 --> 00:29:32,080
Speaker 1: I'm still I still like have to look at what

570
00:29:32,360 --> 00:29:36,400
Speaker 1: is actually happening in front of me, and boxes putting

571
00:29:36,440 --> 00:29:38,760
Speaker 1: it like front page on their website, like yelling at

572
00:29:38,840 --> 00:29:43,360
Speaker 1: your dog could scare it. Yeah, he legitimately said, I

573
00:29:43,480 --> 00:29:45,719
Speaker 1: know he's a true patriot, Like I don't know if

574
00:29:45,800 --> 00:29:49,160
Speaker 1: something changed in his heart or in his mind. It's

575
00:29:49,280 --> 00:29:53,080
Speaker 1: like I love people call each other patriots. Yea, what

576
00:29:53,120 --> 00:29:56,040
Speaker 1: I mean, like, just uh, it's so weird. I always

577
00:29:56,080 --> 00:29:58,239
Speaker 1: go right to the Mail Gibson movie. Whatever I think

578
00:29:58,280 --> 00:30:01,840
Speaker 1: of him running picture he like stabs a guy with

579
00:30:02,000 --> 00:30:09,040
Speaker 1: the American coat with the American flag. That's peak patriotism

580
00:30:09,120 --> 00:30:11,840
Speaker 1: and we've all been trying to reach that ever since.

581
00:30:12,920 --> 00:30:15,600
Speaker 1: Uh yeah, well it's interesting. I mean, yeah, that's what

582
00:30:15,680 --> 00:30:18,400
Speaker 1: we were really having to see. The cognitive dissidence really

583
00:30:18,520 --> 00:30:21,040
Speaker 1: start to boil up more and more because now we're

584
00:30:21,080 --> 00:30:23,160
Speaker 1: dealing with you're gonna hear, you're gonna see people on

585
00:30:23,320 --> 00:30:27,520
Speaker 1: TV say the ship out loud, and then what then,

586
00:30:27,560 --> 00:30:29,760
Speaker 1: how You're gonna smear everybody because that's what they're gonna do.

587
00:30:30,000 --> 00:30:33,000
Speaker 1: They're gonna like, well, Bill Taylor's a plant. That Gordon

588
00:30:33,160 --> 00:30:36,680
Speaker 1: Salmon who actually paid the Trump campaign like a million

589
00:30:36,720 --> 00:30:39,760
Speaker 1: dollars in donations to become the ambassador is somehow some

590
00:30:39,920 --> 00:30:43,440
Speaker 1: kind of deep state operative um, but you know, would

591
00:30:43,440 --> 00:30:45,000
Speaker 1: be nice to scorn. I feel like a lot of

592
00:30:45,200 --> 00:30:47,200
Speaker 1: what they're doing is they're just it's like kicking the

593
00:30:47,320 --> 00:30:49,840
Speaker 1: can down the road, where it's like, you know, there's

594
00:30:49,880 --> 00:30:52,480
Speaker 1: so many checks and balances that like to go through

595
00:30:52,600 --> 00:30:54,920
Speaker 1: all this process, just as like, well, if we could

596
00:30:54,960 --> 00:30:58,200
Speaker 1: just postpone and push and then we know it takes

597
00:30:58,240 --> 00:31:00,640
Speaker 1: so long for anything to get on that it's just

598
00:31:00,760 --> 00:31:02,800
Speaker 1: like by the time it happens, the next election is

599
00:31:02,840 --> 00:31:04,640
Speaker 1: already going to be here. Yeah, And if that's clearly

600
00:31:04,680 --> 00:31:06,320
Speaker 1: the tactic with a lot of these people trying to

601
00:31:06,440 --> 00:31:08,920
Speaker 1: sue to get out of testifying, because then it's like, well,

602
00:31:08,960 --> 00:31:11,360
Speaker 1: if we can just delay as long as possible, will

603
00:31:11,400 --> 00:31:15,160
Speaker 1: lose momentum. But you know, increasingly, I think they find

604
00:31:15,200 --> 00:31:17,760
Speaker 1: themselves kicking the can down like not a road, but

605
00:31:17,920 --> 00:31:20,120
Speaker 1: like those walls you see on a movie lot that's

606
00:31:20,200 --> 00:31:24,120
Speaker 1: canted like the horizon, and the can is starting to

607
00:31:24,160 --> 00:31:26,320
Speaker 1: actually go off the wall, like hold on, I'm trying

608
00:31:26,320 --> 00:31:28,720
Speaker 1: to kick this thing down the road, and they're slowly

609
00:31:28,720 --> 00:31:32,080
Speaker 1: approaching that moment we're like, okay, this is what it is.

610
00:31:32,840 --> 00:31:36,080
Speaker 1: Now what Yeah, Because there's like there was a Republican

611
00:31:36,280 --> 00:31:39,680
Speaker 1: who basically said, you know, it's bad, but it's not impeachable.

612
00:31:39,760 --> 00:31:42,440
Speaker 1: And Trump was like all over that. Dude was like, Yo,

613
00:31:42,600 --> 00:31:45,280
Speaker 1: you can't can't say it's bad. It was perfect. Shut

614
00:31:45,320 --> 00:31:55,080
Speaker 1: the funk up. Alright, let's talk about Representative Pete King, who, Yeah,

615
00:31:55,320 --> 00:32:00,800
Speaker 1: Long Island proud of his Irish heritage, is what Schumer

616
00:32:00,880 --> 00:32:04,800
Speaker 1: said about him. Chuck Schumer gave a very glowing I look,

617
00:32:05,160 --> 00:32:08,200
Speaker 1: I just know him as Mr. Too many mosques, Yeah,

618
00:32:08,520 --> 00:32:13,400
Speaker 1: that was too many mosques? Yeah? Uh and he I mean, really,

619
00:32:13,480 --> 00:32:16,200
Speaker 1: the news about this, I think just shows you how

620
00:32:16,720 --> 00:32:20,200
Speaker 1: truly terrible it is to be a Republican in in

621
00:32:20,480 --> 00:32:23,720
Speaker 1: Congress right now because so many people are jumping ship,

622
00:32:23,840 --> 00:32:27,280
Speaker 1: are retiring. I mean, he's a fourteen term congressman. That's

623
00:32:27,320 --> 00:32:29,280
Speaker 1: a lot of terms. Yeah, and to fully just be

624
00:32:29,400 --> 00:32:32,480
Speaker 1: like I'm gonna retire just shows you this will happen

625
00:32:32,520 --> 00:32:34,120
Speaker 1: in the mid terms too. I think it just shows

626
00:32:34,200 --> 00:32:36,480
Speaker 1: you a they're fully resigned to the fact that they're

627
00:32:36,480 --> 00:32:38,240
Speaker 1: not going to win the House back. So they're like,

628
00:32:38,320 --> 00:32:39,960
Speaker 1: fucking dude, I'm not even I'm not even trying to

629
00:32:40,000 --> 00:32:42,440
Speaker 1: fight this, Like I'm just it's easier to retire because

630
00:32:42,480 --> 00:32:44,800
Speaker 1: I don't want to have to. You know, essentially, anyone

631
00:32:44,840 --> 00:32:47,200
Speaker 1: who's up for reelection and as a Republican is going

632
00:32:47,280 --> 00:32:49,280
Speaker 1: to have to answer for the policies of the president

633
00:32:49,320 --> 00:32:50,960
Speaker 1: at some point, and many people just don't want to

634
00:32:50,960 --> 00:32:55,560
Speaker 1: do that anymore. People who are have their feet planted

635
00:32:55,880 --> 00:32:58,160
Speaker 1: on earth and are like, this is gonna be tough

636
00:32:58,480 --> 00:33:02,760
Speaker 1: to keep talking about reality in public, but they also

637
00:33:02,840 --> 00:33:05,960
Speaker 1: don't want to acknowledge that basically, and also with social

638
00:33:06,000 --> 00:33:07,800
Speaker 1: media too, it's like all these it's like, you know,

639
00:33:08,480 --> 00:33:11,040
Speaker 1: you can go. People are really starting to dig into everybody,

640
00:33:11,120 --> 00:33:13,160
Speaker 1: you know what I mean, where it's like fourteen terms ago,

641
00:33:13,360 --> 00:33:15,120
Speaker 1: people didn't like go back and look at all the

642
00:33:15,160 --> 00:33:17,160
Speaker 1: ship that you've said and done that you might you

643
00:33:17,200 --> 00:33:20,200
Speaker 1: know what I mean. At anytime somebody retires from something,

644
00:33:20,280 --> 00:33:22,320
Speaker 1: I'm like, what did they do? What do they what

645
00:33:22,440 --> 00:33:25,440
Speaker 1: do they got back there? Yeah, there's no reason that

646
00:33:25,520 --> 00:33:28,920
Speaker 1: you would leave unless something is huge. He just you

647
00:33:28,960 --> 00:33:31,680
Speaker 1: could tell he was just losing steam defending the president,

648
00:33:31,760 --> 00:33:35,120
Speaker 1: Like in the beginning, he was all in slowly just

649
00:33:35,520 --> 00:33:38,440
Speaker 1: it just like was wearing like and you know that's

650
00:33:38,440 --> 00:33:40,840
Speaker 1: what happens because I think at some level, you see

651
00:33:40,880 --> 00:33:42,760
Speaker 1: that some of these people have like half a soul

652
00:33:43,080 --> 00:33:45,400
Speaker 1: and they realize, like this is it feels fu up,

653
00:33:45,680 --> 00:33:47,800
Speaker 1: like I'll do it because I'm such a partisan. But

654
00:33:48,280 --> 00:33:50,800
Speaker 1: also on the other level, it's just like I'm I'm

655
00:33:50,840 --> 00:33:52,600
Speaker 1: not built for this anymore. Like I don't have I

656
00:33:52,600 --> 00:33:54,680
Speaker 1: don't have quite quite I don't have it in me

657
00:33:54,760 --> 00:33:56,720
Speaker 1: to quite totally to bury my head in the sand,

658
00:33:56,840 --> 00:33:59,480
Speaker 1: just keep moving. And everybody who has had long term

659
00:33:59,720 --> 00:34:02,440
Speaker 1: deal things with Trump say that's like essentially how he

660
00:34:02,600 --> 00:34:07,320
Speaker 1: treats everybody. It's a parasitic relationship. At first, you're gonna

661
00:34:07,320 --> 00:34:09,560
Speaker 1: be good with it, and then it's just gonna wear

662
00:34:09,640 --> 00:34:12,839
Speaker 1: you down. You're gonna have to get out there. Uh,

663
00:34:13,040 --> 00:34:15,759
Speaker 1: you know, you hate to see it. Schumer that that

664
00:34:15,920 --> 00:34:17,560
Speaker 1: just bummed me out, man. I mean, I think it.

665
00:34:17,680 --> 00:34:21,719
Speaker 1: I think it was illustrative of the difference between like

666
00:34:21,920 --> 00:34:27,560
Speaker 1: old style Democrats and hopefully this young kind of lifeblood

667
00:34:27,600 --> 00:34:31,640
Speaker 1: that's coming up with the newer class. But Schumer issued

668
00:34:31,680 --> 00:34:33,759
Speaker 1: a statement where he was just like talking about how

669
00:34:34,280 --> 00:34:36,319
Speaker 1: much he loved the student, how they like we're able

670
00:34:36,320 --> 00:34:39,719
Speaker 1: to put their differences aside and work together, and that

671
00:34:39,880 --> 00:34:43,360
Speaker 1: he was like proud of his Irish heritage, which for

672
00:34:43,480 --> 00:34:46,120
Speaker 1: somebody who veers that close to white supremacy is like

673
00:34:46,200 --> 00:34:49,600
Speaker 1: a real weird like dog whistle e Like yeah, well,

674
00:34:49,640 --> 00:34:51,440
Speaker 1: I mean he I mean, he wasn't really even dog

675
00:34:51,480 --> 00:34:53,960
Speaker 1: whistling with a lot of his racism anyway. But right

676
00:34:54,120 --> 00:34:58,480
Speaker 1: now I'm saying Schumer like talking about him, well, I

677
00:34:58,560 --> 00:35:01,120
Speaker 1: think because Pete King what like he would he was

678
00:35:01,200 --> 00:35:03,719
Speaker 1: wearing like Notre Dame Irish ship even when he was

679
00:35:03,760 --> 00:35:05,840
Speaker 1: talking to the press to like be like I'm retired,

680
00:35:05,920 --> 00:35:07,880
Speaker 1: like he's that is pretty I think of him as

681
00:35:07,960 --> 00:35:10,919
Speaker 1: like the Irish congress person. It is weird too, because

682
00:35:10,960 --> 00:35:12,960
Speaker 1: we are in like a culture now just where it's

683
00:35:13,000 --> 00:35:15,920
Speaker 1: like if saying if you're a white guy and you

684
00:35:16,040 --> 00:35:21,239
Speaker 1: say proud like it just like immediately yeah, yeah, very

685
00:35:21,280 --> 00:35:24,240
Speaker 1: careful now you know it. You can't realize the diversity

686
00:35:24,280 --> 00:35:27,680
Speaker 1: of my city, Yes exactly. Yeah, you really gotta say

687
00:35:27,760 --> 00:35:30,279
Speaker 1: you gotta be careful. Yeah, so yeah, I mean, but

688
00:35:30,360 --> 00:35:32,960
Speaker 1: also like Chuck Schumer's just that old class where at

689
00:35:33,000 --> 00:35:35,200
Speaker 1: a certain level they sort of see all all the

690
00:35:35,280 --> 00:35:37,480
Speaker 1: other congress people, regardless of parties, sort of like we're

691
00:35:37,480 --> 00:35:39,719
Speaker 1: in the game together. And when I have to when

692
00:35:39,800 --> 00:35:42,000
Speaker 1: I have to put my partisan hat on, I'll do it.

693
00:35:42,080 --> 00:35:43,279
Speaker 1: But then at the end of the day, weren't just

694
00:35:43,360 --> 00:35:46,399
Speaker 1: kind of we're all cronies. Yeah, I feel like all

695
00:35:46,480 --> 00:35:48,640
Speaker 1: of I feel like politics in general, it's like, you know,

696
00:35:48,719 --> 00:35:51,120
Speaker 1: it's like that Iceberg analogy kind of thing where it's

697
00:35:51,120 --> 00:35:52,880
Speaker 1: like we see just that tip of what's going on,

698
00:35:53,000 --> 00:35:55,520
Speaker 1: but there's so much beneath the surface. There's so many

699
00:35:55,520 --> 00:35:58,440
Speaker 1: It's like backdoor dealings and all this stuff where it's like,

700
00:35:58,800 --> 00:36:00,800
Speaker 1: you know, it'd be like, uh, you know, be like

701
00:36:00,920 --> 00:36:03,440
Speaker 1: watching a football game and then you see the kickoff

702
00:36:03,560 --> 00:36:04,840
Speaker 1: and then all of a sudden, it's like in the

703
00:36:04,920 --> 00:36:06,920
Speaker 1: second half and you're like, wait, what was that. They're like, oh, well,

704
00:36:06,920 --> 00:36:08,400
Speaker 1: don't worry about we did some stuff, and you're like

705
00:36:08,440 --> 00:36:10,600
Speaker 1: put the score. You know. It's like like I'm trying

706
00:36:10,640 --> 00:36:12,279
Speaker 1: to root for this one team and you're like, well,

707
00:36:12,480 --> 00:36:15,319
Speaker 1: you know, we'll we'll tell you what to you know, think, yeah,

708
00:36:15,680 --> 00:36:17,879
Speaker 1: but I think that's part of it. Like, yes, you're

709
00:36:17,880 --> 00:36:19,800
Speaker 1: supposed to be able to work with people who you

710
00:36:19,840 --> 00:36:23,640
Speaker 1: have differences with, but you don't need to, like, I mean,

711
00:36:23,760 --> 00:36:26,839
Speaker 1: your job is also to represent the people who are

712
00:36:26,920 --> 00:36:29,640
Speaker 1: your constituents, and like there are a lot of people

713
00:36:29,719 --> 00:36:33,279
Speaker 1: who are his constituents, who you know, Peter King was

714
00:36:33,800 --> 00:36:37,960
Speaker 1: openly discriminating against. So you know, yeah, that's your job

715
00:36:38,120 --> 00:36:40,040
Speaker 1: is to like work with people. But that's my job

716
00:36:40,160 --> 00:36:43,200
Speaker 1: to open people. I'm a Republican in Congress. Of the

717
00:36:43,200 --> 00:36:46,600
Speaker 1: folks you want from me? Uh, all right, let's talk

718
00:36:46,600 --> 00:36:51,440
Speaker 1: about Uber. Apparently the Saudis are the fifth largest investor

719
00:36:51,960 --> 00:36:56,640
Speaker 1: in Uber and uh, somebody was interviewing the CEO and

720
00:36:57,120 --> 00:37:00,760
Speaker 1: they were, you know, trying to reckon how that fact

721
00:37:01,000 --> 00:37:07,200
Speaker 1: the Yeah, Dara koshra Shah he he dumb funked up

722
00:37:07,520 --> 00:37:12,000
Speaker 1: in an interview with Axios because yeah, they were bringing up, hey,

723
00:37:12,160 --> 00:37:14,680
Speaker 1: you know the Sovereign and what is it the Sovereign

724
00:37:14,719 --> 00:37:18,000
Speaker 1: Wealth Fund of Saudi Arabia, Like they're, you know, one

725
00:37:18,040 --> 00:37:20,800
Speaker 1: of your board members represents that, which is, by extension,

726
00:37:20,960 --> 00:37:24,320
Speaker 1: the investment vehicle for the Saudi government. And you know,

727
00:37:24,440 --> 00:37:27,879
Speaker 1: Mohammed been Salman basically greenlit the murder of a US

728
00:37:27,960 --> 00:37:31,640
Speaker 1: based journalist. Um, isn't that kind of weird? And so

729
00:37:32,200 --> 00:37:35,560
Speaker 1: he was asked this question directly of being like, how

730
00:37:35,600 --> 00:37:37,480
Speaker 1: do you square that sort of with this dude on

731
00:37:37,560 --> 00:37:39,200
Speaker 1: your board? Do you think like he should be up

732
00:37:39,239 --> 00:37:41,319
Speaker 1: for election if people don't want this person on the board,

733
00:37:41,360 --> 00:37:43,040
Speaker 1: and this is how we kind of well, but from

734
00:37:43,080 --> 00:37:46,560
Speaker 1: your opinion, he represents and works for a government which

735
00:37:46,640 --> 00:37:49,800
Speaker 1: you believe had a role in the murder of journalist

736
00:37:49,800 --> 00:37:51,680
Speaker 1: who was a US resident. Should that person be on

737
00:37:51,760 --> 00:37:53,800
Speaker 1: the board of a US company? I think that government

738
00:37:54,520 --> 00:37:57,520
Speaker 1: UH said that they made a mistake. Well, I made

739
00:37:57,520 --> 00:38:01,800
Speaker 1: a mistake and somebody's and it's it's it's a serious mistake.

740
00:38:01,880 --> 00:38:05,800
Speaker 1: We've made mistakes too, write with self driving, UH, and

741
00:38:06,160 --> 00:38:08,800
Speaker 1: we stopped driving and we're recovering from that mistake. So

742
00:38:08,880 --> 00:38:11,200
Speaker 1: I think that people make mistakes. It doesn't mean that

743
00:38:11,280 --> 00:38:14,080
Speaker 1: they can never be forgiven. I think they've taken it seriously.

744
00:38:14,560 --> 00:38:16,800
Speaker 1: And the c I didn't suggest that they made a

745
00:38:16,840 --> 00:38:18,640
Speaker 1: mistake and that was an oversight, like with self driving,

746
00:38:18,640 --> 00:38:21,200
Speaker 1: that was basically a bad sensor. Correct. This was the

747
00:38:21,239 --> 00:38:23,600
Speaker 1: CIA suggested that the Crown Prince had a role in

748
00:38:23,719 --> 00:38:26,560
Speaker 1: ordering assassination. It's a different thing. You guys didn't intentionally

749
00:38:26,640 --> 00:38:29,440
Speaker 1: run somebody over. I didn't read that part of the

750
00:38:29,520 --> 00:38:32,080
Speaker 1: CIA report. You're you're obviously deeper in it. But I

751
00:38:32,160 --> 00:38:36,080
Speaker 1: think from a Saudi perspective, they're just like any other shareholder, right,

752
00:38:36,239 --> 00:38:38,959
Speaker 1: it's we Now we're a public company. Anyone can invest

753
00:38:39,000 --> 00:38:41,320
Speaker 1: in our company if they choose to do so, and

754
00:38:41,719 --> 00:38:43,960
Speaker 1: they're a big investor, just like you could be a

755
00:38:44,000 --> 00:38:46,120
Speaker 1: big investor as well. Hey, look if you're a big

756
00:38:48,080 --> 00:38:50,760
Speaker 1: if you're a big investor, we'll call a murder a mistake.

757
00:38:50,920 --> 00:38:54,120
Speaker 1: Or that's what it's like to roll with will be baby.

758
00:38:54,760 --> 00:38:58,799
Speaker 1: Uh yeah. Right after that, though, he did say basically saying, uh,

759
00:38:59,160 --> 00:39:03,360
Speaker 1: that was a I mess up. Oh, he did acknowledge

760
00:39:03,440 --> 00:39:05,279
Speaker 1: that he shouldn't have. He said, I said something in

761
00:39:05,360 --> 00:39:07,040
Speaker 1: the moment that I do not believe when it comes

762
00:39:07,080 --> 00:39:10,080
Speaker 1: to Jamaha Showgi. His murder was reprehensible and should not

763
00:39:10,120 --> 00:39:12,560
Speaker 1: be forgotten or excused. And then I think he said

764
00:39:12,600 --> 00:39:15,200
Speaker 1: that at the end of that interview, like he in realms,

765
00:39:15,239 --> 00:39:18,840
Speaker 1: like actually, what did I just said already? Yeah, it's

766
00:39:18,960 --> 00:39:20,279
Speaker 1: one of those things where you're like, well, I'm fun

767
00:39:21,320 --> 00:39:25,640
Speaker 1: just like self immolated. Yeah, oh dude, I'm not dealing

768
00:39:25,719 --> 00:39:27,680
Speaker 1: with the fall out of this. Uh and they and

769
00:39:27,760 --> 00:39:30,320
Speaker 1: then he tweeted there's no forgiving or forgetting what happened

770
00:39:30,320 --> 00:39:32,960
Speaker 1: to Jamaha Showgi. I was wrong to call it a mistake,

771
00:39:33,880 --> 00:39:35,560
Speaker 1: as I said something in the moment. I don't believe

772
00:39:35,560 --> 00:39:37,520
Speaker 1: our investors have long known my views here and I'm

773
00:39:37,520 --> 00:39:40,880
Speaker 1: sorry I wasn't as clear on axios. Yeah, but I

774
00:39:40,920 --> 00:39:43,680
Speaker 1: mean weird, I mean fun up here and there. You

775
00:39:43,760 --> 00:39:47,800
Speaker 1: know what, that was a mistake, Like I s the

776
00:39:47,880 --> 00:39:50,399
Speaker 1: other day that had the typo on it. Yeah, that's

777
00:39:50,400 --> 00:39:54,920
Speaker 1: a mistake. Now, Saudi ARABIAU up journalism. I mean it's

778
00:39:54,960 --> 00:39:57,680
Speaker 1: all splitting. He really tried though with that one. I

779
00:39:58,239 --> 00:40:00,680
Speaker 1: like self driving cars. Credit to that journalists being like,

780
00:40:00,920 --> 00:40:03,160
Speaker 1: to be fair, that was a fucked up. It's like

781
00:40:03,239 --> 00:40:07,200
Speaker 1: you're like, hey, make a car that's gonna kill somebody, right, Okay,

782
00:40:07,880 --> 00:40:12,040
Speaker 1: take this woman out. That specific woman was being targeted, right,

783
00:40:12,480 --> 00:40:14,360
Speaker 1: I might want to look into that. Based on these comments,

784
00:40:15,600 --> 00:40:19,440
Speaker 1: I'm impressed by this next person, Yes, Mia Chang. Mia

785
00:40:19,560 --> 00:40:24,400
Speaker 1: Chang deputy Assistant Secretary in the State Department's Bureau of

786
00:40:24,719 --> 00:40:29,040
Speaker 1: Conflict and Stability Operations. This is a great position which

787
00:40:29,040 --> 00:40:32,600
Speaker 1: I always followed closely. Yeah, it's a pretty important position.

788
00:40:32,800 --> 00:40:35,840
Speaker 1: Um and at thirty five Mia Chang from Dallas. I

789
00:40:35,960 --> 00:40:39,000
Speaker 1: think he's doing quite well for herself in this department.

790
00:40:39,080 --> 00:40:42,160
Speaker 1: She helps oversea efforts quote to prevent conflicts from erupting

791
00:40:42,200 --> 00:40:46,279
Speaker 1: and politically unstable countries. Um, she earns six figures at

792
00:40:46,320 --> 00:40:48,920
Speaker 1: the Bureau, and this specific office has a six million

793
00:40:49,000 --> 00:40:52,359
Speaker 1: dollar budget UM and usually this person has a top

794
00:40:52,480 --> 00:40:59,000
Speaker 1: secret security clearance, so she's probably pretty qualified. No, So

795
00:40:59,200 --> 00:41:02,200
Speaker 1: it turns out she has been lying about a lot

796
00:41:02,280 --> 00:41:05,520
Speaker 1: of things on her way to this position. UH. For example,

797
00:41:05,600 --> 00:41:08,560
Speaker 1: like that the fact that she attended Harvard. They quite

798
00:41:08,640 --> 00:41:14,680
Speaker 1: can't verify that, the scope and impact of her nonprofit organization,

799
00:41:14,800 --> 00:41:16,880
Speaker 1: that she has been patting herself on the backfloor. She

800
00:41:17,040 --> 00:41:21,080
Speaker 1: invented a role on a u N panel that she exist, yes,

801
00:41:21,840 --> 00:41:26,399
Speaker 1: claims she had addressed both the Democratic and Republican national conventions.

802
00:41:27,080 --> 00:41:31,880
Speaker 1: UH implied she had testified before Congress, and also was

803
00:41:31,960 --> 00:41:35,400
Speaker 1: walking around with a fake Time magazine cover of herself

804
00:41:35,480 --> 00:41:39,080
Speaker 1: on it to be like, yeah, I'm I'm that humanitarian. Okay,

805
00:41:39,160 --> 00:41:42,279
Speaker 1: that's how I assumed. It was a bit right, like

806
00:41:42,440 --> 00:41:47,400
Speaker 1: that can't be nobody creates that. But there she is

807
00:41:47,480 --> 00:41:52,160
Speaker 1: being interviewed and somebody says, here you are on Time magazine. Congratulations.

808
00:41:52,520 --> 00:41:54,719
Speaker 1: Tell me about this cover and how it came to be.

809
00:41:55,520 --> 00:41:59,000
Speaker 1: She said, well, we started using drone technology and disaster response,

810
00:41:59,080 --> 00:42:02,160
Speaker 1: and so that when the whole talk of how is

811
00:42:02,239 --> 00:42:05,440
Speaker 1: technology being used to save lives and disaster response scenarios.

812
00:42:05,680 --> 00:42:09,640
Speaker 1: I suppose I brought some attention to that. She's even

813
00:42:09,719 --> 00:42:12,320
Speaker 1: humble about it. Yeah, she's like, you know, but they

814
00:42:12,360 --> 00:42:14,560
Speaker 1: didn't be like, which issue is it? You know it

815
00:42:14,680 --> 00:42:16,400
Speaker 1: was a special edition if you look at the bottom

816
00:42:16,400 --> 00:42:18,720
Speaker 1: corners of a special edition, so it wasn't really widely circulate.

817
00:42:18,800 --> 00:42:20,759
Speaker 1: This is a very special edition. But yeah, why am

818
00:42:20,800 --> 00:42:24,560
Speaker 1: I on trials that one? It's just such a funny,

819
00:42:24,680 --> 00:42:28,080
Speaker 1: like that's what I picture literally every politician to be,

820
00:42:28,400 --> 00:42:30,040
Speaker 1: you know what I mean. It's just that level of

821
00:42:30,160 --> 00:42:33,280
Speaker 1: being like I'm gonna say a thousand things of bullshit

822
00:42:33,560 --> 00:42:35,560
Speaker 1: the rest of them you just go like how many

823
00:42:35,680 --> 00:42:37,239
Speaker 1: things can you call me out on? You know what

824
00:42:37,320 --> 00:42:39,040
Speaker 1: I mean? And like and maybe you call me out

825
00:42:39,080 --> 00:42:41,080
Speaker 1: on the Time magazine thing, but then I'll be You're

826
00:42:41,080 --> 00:42:42,839
Speaker 1: not You're not paying attention. It's that like look over

827
00:42:42,920 --> 00:42:45,080
Speaker 1: here while I do this a magician. You know, it's

828
00:42:45,160 --> 00:42:47,560
Speaker 1: the Gish gallop. That's something we've talked about before. It's

829
00:42:47,640 --> 00:42:51,600
Speaker 1: this debating technique where you throw out five false things

830
00:42:51,760 --> 00:42:54,120
Speaker 1: like in a single sentence, and then like the people

831
00:42:54,280 --> 00:42:58,120
Speaker 1: have to go through and spend five paragraphs like refuting

832
00:42:58,160 --> 00:43:02,200
Speaker 1: everything you said, and by that point everyone's like, yeah,

833
00:43:02,360 --> 00:43:05,239
Speaker 1: your eyes gla actually noticed Donald Trump Jr. Do that

834
00:43:05,320 --> 00:43:07,560
Speaker 1: on the View the other day. He was like, you

835
00:43:07,680 --> 00:43:11,319
Speaker 1: did blackface. You said Roman Plansky wasn't rapist. You said

836
00:43:11,360 --> 00:43:14,680
Speaker 1: that like just like through in just like ten seconds

837
00:43:15,040 --> 00:43:19,680
Speaker 1: throughout like monstrous accusations of like everyone on the View.

838
00:43:19,840 --> 00:43:23,480
Speaker 1: And then it was just chaos as they like talked

839
00:43:23,520 --> 00:43:26,800
Speaker 1: over each other trying to correct what he said. And

840
00:43:26,880 --> 00:43:29,640
Speaker 1: it was just, I mean, the guy's a brilliant debater,

841
00:43:31,520 --> 00:43:34,840
Speaker 1: nobody's doubting that. Toonage the poneage on fucking on the

842
00:43:34,920 --> 00:43:40,440
Speaker 1: View just so chill. The reason though, why this all

843
00:43:40,520 --> 00:43:42,319
Speaker 1: kind of came to light was at first, and then

844
00:43:42,360 --> 00:43:45,439
Speaker 1: I think in September or I forget how far back,

845
00:43:45,520 --> 00:43:48,520
Speaker 1: the White House submitted her basically for a larger department

846
00:43:48,560 --> 00:43:51,080
Speaker 1: in the state and are larger gig at the state department,

847
00:43:51,400 --> 00:43:53,880
Speaker 1: one that had a billion dollar budget that was dealing

848
00:43:53,920 --> 00:43:57,440
Speaker 1: with Asia specifically, which makes sense to how people in

849
00:43:57,480 --> 00:44:01,200
Speaker 1: this administration think like, Okay, like she's she's Asian, Yeah

850
00:44:01,280 --> 00:44:03,880
Speaker 1: she's hot, Yeah, alright, get her, maybe she can do

851
00:44:03,960 --> 00:44:07,719
Speaker 1: Asian stuff. I'm not trump Orf I was saying that,

852
00:44:07,800 --> 00:44:10,200
Speaker 1: but like that sort of like that kind of thinking

853
00:44:10,320 --> 00:44:13,120
Speaker 1: like Asian person will deal with Asia. Do you remember

854
00:44:13,200 --> 00:44:15,960
Speaker 1: when that happened? There was a CIA operative who was

855
00:44:16,200 --> 00:44:20,200
Speaker 1: a Korean woman, and she was like debriefing him on

856
00:44:20,320 --> 00:44:22,520
Speaker 1: something that wasn't Korea, but it was around the time

857
00:44:22,560 --> 00:44:25,760
Speaker 1: of and he was like, why isn't she working on Korea?

858
00:44:26,160 --> 00:44:28,840
Speaker 1: Like she should be working on Korean stuff because what

859
00:44:29,200 --> 00:44:31,880
Speaker 1: it's just the politics is just an l a casting

860
00:44:31,960 --> 00:44:38,799
Speaker 1: officely perfect for like how would an ABC show? Um?

861
00:44:39,040 --> 00:44:41,239
Speaker 1: But yeah, she was gonna take a role that had

862
00:44:41,280 --> 00:44:44,400
Speaker 1: a billion dollar operating budget, but that needed Senate confirmation.

863
00:44:44,640 --> 00:44:47,640
Speaker 1: So when they submitted her for Senate confirmation, two people

864
00:44:47,680 --> 00:44:50,160
Speaker 1: on like the committee were like, can you give us

865
00:44:50,200 --> 00:44:53,279
Speaker 1: some more details like receipts on her education and her

866
00:44:53,320 --> 00:44:57,440
Speaker 1: nonprofit work because I don't, And they're like, you know what,

867
00:44:57,680 --> 00:45:00,880
Speaker 1: you ink pulled her? Pulled her, Yeah, pulled the submission

868
00:45:00,920 --> 00:45:02,680
Speaker 1: and then like, we'll just put you in this office

869
00:45:02,719 --> 00:45:04,399
Speaker 1: because you don't need to be sent it confirmed. She's

870
00:45:04,440 --> 00:45:07,400
Speaker 1: still there. Yeah, that's also the role that she's in

871
00:45:07,600 --> 00:45:10,560
Speaker 1: is also just such a it's a such an American

872
00:45:10,960 --> 00:45:13,000
Speaker 1: government type of role right where they're like, we just

873
00:45:13,320 --> 00:45:14,560
Speaker 1: we just kind of have a lot of money and

874
00:45:14,600 --> 00:45:16,960
Speaker 1: we throw around when other countries are in turmoil that

875
00:45:17,040 --> 00:45:18,640
Speaker 1: we're like, we're gonna come in, We're gonna we're gonna

876
00:45:18,680 --> 00:45:21,040
Speaker 1: step in area. It's like, oh, are you trying to

877
00:45:21,120 --> 00:45:24,000
Speaker 1: nationalize an industry that American company can make off of?

878
00:45:24,120 --> 00:45:28,120
Speaker 1: How about a cool right, USA World Referees, We've got

879
00:45:28,200 --> 00:45:31,160
Speaker 1: our best people keeping an eye on this situation. Yeah,

880
00:45:31,239 --> 00:45:32,919
Speaker 1: but I think it just speaks to a the brain

881
00:45:33,040 --> 00:45:35,880
Speaker 1: drain that's in that area. They cannot find a viable

882
00:45:35,960 --> 00:45:38,279
Speaker 1: person if their lives depended on it. And also their

883
00:45:38,360 --> 00:45:40,680
Speaker 1: vetting process is so bad you have people come around

884
00:45:40,719 --> 00:45:43,800
Speaker 1: with fake Time magazine covers. At the State Department in

885
00:45:44,320 --> 00:45:47,720
Speaker 1: positions were presumably they have a top secret security clearance,

886
00:45:47,840 --> 00:45:50,040
Speaker 1: although they're not sure if this woman actually got her clearance.

887
00:45:50,480 --> 00:45:52,359
Speaker 1: Another fun fact, she was trying to make it as

888
00:45:52,440 --> 00:45:55,560
Speaker 1: a recording artist and like her Instagram at one point,

889
00:45:55,560 --> 00:45:57,640
Speaker 1: you see like she had like a Christmas album like

890
00:45:57,800 --> 00:45:59,879
Speaker 1: five years ago. She was trying to hawk Oh my God.

891
00:46:00,040 --> 00:46:02,640
Speaker 1: And but the cover it looks like a like a

892
00:46:02,760 --> 00:46:05,160
Speaker 1: perfume ad where it's like her laughing and like a

893
00:46:05,280 --> 00:46:08,520
Speaker 1: really handsome, like stock photo handsome white guy in a

894
00:46:08,600 --> 00:46:14,080
Speaker 1: tuxedo being like you're naughty, you know, yeah, you know,

895
00:46:15,120 --> 00:46:19,040
Speaker 1: I really can't stay in that position. Yeah yeah, Chris,

896
00:46:20,440 --> 00:46:22,600
Speaker 1: all right, we're gonna take a quick break. We'll be

897
00:46:22,760 --> 00:46:36,360
Speaker 1: right back, and we're back. And one of my favorite

898
00:46:36,400 --> 00:46:39,719
Speaker 1: things is just anecdotes about Michael Jordan's. I feel like

899
00:46:39,800 --> 00:46:42,440
Speaker 1: every time we learned an anecdote from his career, we

900
00:46:42,960 --> 00:46:47,319
Speaker 1: get a little bit wiser about or further confirms how

901
00:46:47,400 --> 00:46:49,600
Speaker 1: much of an asshole he is. Like that one clip

902
00:46:49,680 --> 00:46:52,000
Speaker 1: I was going, I was showing Jack yesterday of him

903
00:46:52,000 --> 00:46:54,960
Speaker 1: and Charles Barkley on OPRAH years ago. It's like, let

904
00:46:55,000 --> 00:46:57,240
Speaker 1: me tell you a story about him, man, and Michael

905
00:46:57,280 --> 00:46:59,759
Speaker 1: Jordan's like, come on, shut then up. And he's like,

906
00:46:59,840 --> 00:47:02,120
Speaker 1: I try to give a homeless due some money, and

907
00:47:02,200 --> 00:47:04,640
Speaker 1: then Mike just smacks my hand away, So don't give

908
00:47:04,680 --> 00:47:06,600
Speaker 1: him money. If he if he, if he, if he

909
00:47:06,640 --> 00:47:08,719
Speaker 1: has enough energy to say, couldn't give me a dollar?

910
00:47:08,760 --> 00:47:10,640
Speaker 1: He has enough energy to say, can I take your order?

911
00:47:12,000 --> 00:47:14,560
Speaker 1: Oh my god, Michael Jordan, please, you couldn't even let

912
00:47:14,640 --> 00:47:17,560
Speaker 1: Charles Barkley give his own money away. Yeah, Well, he's

913
00:47:17,600 --> 00:47:21,040
Speaker 1: a degenerate gambler. I mean he has uh yeah, he's

914
00:47:21,239 --> 00:47:24,560
Speaker 1: he's about to hear this from another planet. Yes. Uh.

915
00:47:24,800 --> 00:47:32,080
Speaker 1: So this was on a Chicago area sports talk show,

916
00:47:32,719 --> 00:47:36,040
Speaker 1: and it's a story told by Jeremy Roenick uh who

917
00:47:36,239 --> 00:47:39,760
Speaker 1: was a NHL player one Michael Jordan was lighting shipped

918
00:47:39,800 --> 00:47:44,319
Speaker 1: up in the NBA. Uh and so at one point, yeah,

919
00:47:45,640 --> 00:47:48,920
Speaker 1: So at one point Jarmonic said, Michael Jordan told him

920
00:47:49,000 --> 00:47:51,680
Speaker 1: to meet me at Sunset Ridge early. We're gonna play

921
00:47:51,760 --> 00:47:55,040
Speaker 1: eighteen holes. Uh. We played around. I beat him for

922
00:47:55,080 --> 00:47:57,600
Speaker 1: a couple of thousand and got ready to leave. Now

923
00:47:57,719 --> 00:48:01,200
Speaker 1: the Bulls are playing that night. They aid Cleveland that night.

924
00:48:01,320 --> 00:48:03,920
Speaker 1: I'm thinking he's leaving. It's ten o'clock. He goes, no,

925
00:48:04,120 --> 00:48:06,600
Speaker 1: let's go again. So we go and fill up a

926
00:48:06,680 --> 00:48:09,720
Speaker 1: bag full of ice and cores, light and walk again.

927
00:48:10,200 --> 00:48:12,719
Speaker 1: We were all around another eighteen and I take him

928
00:48:12,760 --> 00:48:16,040
Speaker 1: for another couple thousand dollars. Now we've been drinking all

929
00:48:16,120 --> 00:48:19,320
Speaker 1: afternoon and he's going from Sunset Ridge to the stadium

930
00:48:19,360 --> 00:48:21,640
Speaker 1: to play a game. I'm messing around. I'm like, I'm

931
00:48:21,640 --> 00:48:23,919
Speaker 1: gonna call my bookie. All the money you just lost

932
00:48:23,960 --> 00:48:26,439
Speaker 1: to me, I'm putting it on Cleveland. He goes I'll

933
00:48:26,480 --> 00:48:28,719
Speaker 1: tell you what, I'll bet you that we'll win by

934
00:48:28,800 --> 00:48:31,520
Speaker 1: twenty points, and I have more than forty points, and

935
00:48:31,600 --> 00:48:33,960
Speaker 1: I'm like done, son of a gun goes out and

936
00:48:34,040 --> 00:48:38,520
Speaker 1: scores fifty two and they win by I mean, that's

937
00:48:38,640 --> 00:48:41,200
Speaker 1: but that's the kind of guy. That's how he was

938
00:48:41,400 --> 00:48:43,560
Speaker 1: his whole Like, that's why he was the best, you

939
00:48:43,600 --> 00:48:45,560
Speaker 1: know what I mean, it's just because he was so

940
00:48:45,800 --> 00:48:49,960
Speaker 1: competitive to a major fault. That's that he would mistreat

941
00:48:49,960 --> 00:48:53,040
Speaker 1: other human beings in the name of self glory. But

942
00:48:53,160 --> 00:48:55,400
Speaker 1: the fact that he was drinking all day before a

943
00:48:55,520 --> 00:48:59,040
Speaker 1: game is just bunking. I mean, how many beers did

944
00:48:59,080 --> 00:49:00,560
Speaker 1: he really have? You know? I mean, if he has

945
00:49:00,600 --> 00:49:04,000
Speaker 1: six cores, I'm like, you can still fucking that seems

946
00:49:04,920 --> 00:49:08,759
Speaker 1: that seems like a lot of cores. Based on Jeremy Roenicks, look,

947
00:49:08,760 --> 00:49:12,000
Speaker 1: I feel like they drank a shipload of yours. I

948
00:49:12,080 --> 00:49:14,280
Speaker 1: can't I can't quite put my finger on what Jordan's

949
00:49:14,280 --> 00:49:17,680
Speaker 1: alcohol consumption levels are. But a hockey player, I'm like, yeah, exactly,

950
00:49:17,719 --> 00:49:20,759
Speaker 1: he's taking With a hockey player, players will drink you

951
00:49:20,880 --> 00:49:23,800
Speaker 1: under the bar. I've heard so many stories about it,

952
00:49:23,880 --> 00:49:26,040
Speaker 1: and just the way he like gott in people's heads,

953
00:49:26,160 --> 00:49:28,200
Speaker 1: like during the game, like the amount of ship, like

954
00:49:28,400 --> 00:49:30,160
Speaker 1: I forget the player. I was like, maybe it was

955
00:49:30,239 --> 00:49:33,640
Speaker 1: Penny Hardaway somebody there one time. Uh was like talking

956
00:49:33,680 --> 00:49:36,759
Speaker 1: ship to Jordan during the game, and then he was

957
00:49:37,160 --> 00:49:40,320
Speaker 1: wearing Jordan's while playing, you know what I mean. And

958
00:49:40,360 --> 00:49:42,480
Speaker 1: then Jordan was like, you're not even good enough to

959
00:49:42,520 --> 00:49:45,200
Speaker 1: wear my sneakers. You know what It's like, it's a

960
00:49:45,440 --> 00:49:48,000
Speaker 1: pretty devastate. Yeah, it's like, what did you say to that?

961
00:49:48,040 --> 00:49:49,560
Speaker 1: And he's just you know, he gets in your head.

962
00:49:49,560 --> 00:49:50,920
Speaker 1: But I've heard so many stories of that where it's

963
00:49:50,920 --> 00:49:52,719
Speaker 1: like whenever he loses, he's like, all right, double or nothing,

964
00:49:52,760 --> 00:49:56,800
Speaker 1: double or nothing, and it'll just go until you give up. Yeah, exactly,

965
00:49:57,040 --> 00:49:59,000
Speaker 1: Oh yeah it was it was Penny. It was Penny,

966
00:49:59,080 --> 00:50:02,480
Speaker 1: Yeah he said he he called me, kid, kid, you're

967
00:50:02,520 --> 00:50:06,000
Speaker 1: not even good enough to wear unreal, Well, we're all

968
00:50:06,040 --> 00:50:09,720
Speaker 1: three wearing Jordan's today, Yeah exactly. I'm wearing the nixt

969
00:50:10,560 --> 00:50:13,480
Speaker 1: version of which makes him very humble. Yeah, which is

970
00:50:13,520 --> 00:50:16,200
Speaker 1: the one that he just dominant, even has the you

971
00:50:16,280 --> 00:50:19,920
Speaker 1: know the four eight eight from that specific game at

972
00:50:19,960 --> 00:50:22,319
Speaker 1: those Yeah, where he just dominated. It's like I feel

973
00:50:22,360 --> 00:50:28,520
Speaker 1: like I'm being cucked wearing these things. I mean, honestly,

974
00:50:28,600 --> 00:50:32,880
Speaker 1: if science could somehow find that's what the power of

975
00:50:33,080 --> 00:50:35,920
Speaker 1: his ego is, there has to be some kind of

976
00:50:36,040 --> 00:50:41,439
Speaker 1: universal like whatever editive fire, the metabolism, whatever the funk

977
00:50:41,800 --> 00:50:44,759
Speaker 1: made him able to put away six beers and then

978
00:50:44,800 --> 00:50:47,000
Speaker 1: go out and be better than anyone has ever been

979
00:50:47,280 --> 00:50:51,440
Speaker 1: at basketball, like six beers at least. But also, I mean,

980
00:50:51,480 --> 00:50:53,600
Speaker 1: do you think that was a pretty easy prediction. I

981
00:50:53,680 --> 00:50:56,920
Speaker 1: wonder what Cleveland at that time. Dude, I'm still He's

982
00:50:56,920 --> 00:51:01,360
Speaker 1: still playing the NBA. It's the best athletes in the world,

983
00:51:01,600 --> 00:51:04,759
Speaker 1: and he it just goes like yesterday when we read this,

984
00:51:05,120 --> 00:51:08,960
Speaker 1: you said superpower and like that that really feels like

985
00:51:09,040 --> 00:51:11,520
Speaker 1: what it is. I mean, because he's playing against the

986
00:51:11,719 --> 00:51:14,959
Speaker 1: best athletes in the world and he's that much better

987
00:51:15,120 --> 00:51:18,839
Speaker 1: than it was purely the money. I don't even feel

988
00:51:18,880 --> 00:51:21,600
Speaker 1: like I feel like he's a degenerate gambler because of

989
00:51:21,840 --> 00:51:25,000
Speaker 1: his competitiveness and it has nothing. I don't think it's

990
00:51:25,040 --> 00:51:27,200
Speaker 1: like it's it's like the disease and that it's more

991
00:51:27,239 --> 00:51:29,520
Speaker 1: of just like we have to win and if money

992
00:51:29,600 --> 00:51:31,160
Speaker 1: is riding on it, it's like the money. I feel

993
00:51:31,160 --> 00:51:33,320
Speaker 1: like it's the second everything to him, besides just winning

994
00:51:33,360 --> 00:51:35,200
Speaker 1: and being like, do is that? Even he's also not

995
00:51:35,320 --> 00:51:36,960
Speaker 1: a good winner, you know what I mean, Like when

996
00:51:37,080 --> 00:51:40,000
Speaker 1: he's like a piece of shit about it as his

997
00:51:40,080 --> 00:51:45,239
Speaker 1: Hall of Fame speech, Will Will getting fist pumped there

998
00:51:46,320 --> 00:51:49,360
Speaker 1: right in your skull. Yeah, alright, let's talk about another

999
00:51:49,600 --> 00:51:53,680
Speaker 1: nineties icon. We now know what the new Sonic the

1000
00:51:53,760 --> 00:51:57,600
Speaker 1: Hedgehog design looks like, and now we're all going to

1001
00:51:57,640 --> 00:52:00,880
Speaker 1: see it. Right, no human teeth anymore. Human people were

1002
00:52:00,960 --> 00:52:02,960
Speaker 1: so up in arms in that first trailer. They're like,

1003
00:52:03,040 --> 00:52:05,799
Speaker 1: he has two separate eyes and big gass teeth. Make

1004
00:52:06,040 --> 00:52:08,439
Speaker 1: him make him have goggle eyes like in the game.

1005
00:52:08,680 --> 00:52:11,960
Speaker 1: That's better. Yeah, it makes a lot better. Sadly, I

1006
00:52:12,040 --> 00:52:14,720
Speaker 1: feel like I was barely interested when the first trailer

1007
00:52:14,800 --> 00:52:16,600
Speaker 1: came out. Even if you look like this in the

1008
00:52:16,680 --> 00:52:18,600
Speaker 1: first trailer, I would have still been like, I don't

1009
00:52:18,760 --> 00:52:21,279
Speaker 1: need a Sonic movie. Think of how many millions of

1010
00:52:21,400 --> 00:52:24,480
Speaker 1: dollars where that cost? That that little whoopsie. It's like

1011
00:52:24,520 --> 00:52:25,960
Speaker 1: they had to go do. I mean, I don't know

1012
00:52:25,960 --> 00:52:27,439
Speaker 1: how much of the movie was done at that point,

1013
00:52:27,520 --> 00:52:30,320
Speaker 1: but that's like the entire thing you have to do.

1014
00:52:30,400 --> 00:52:34,000
Speaker 1: It's crazy man, because like his mouth is, there's a

1015
00:52:34,080 --> 00:52:37,000
Speaker 1: lot that's different from his nose to the cutlet. And

1016
00:52:37,120 --> 00:52:38,960
Speaker 1: I'm sure the color can just be like one click

1017
00:52:39,040 --> 00:52:44,839
Speaker 1: and every frame, every dialogue, it's all. Yeah. Well, they

1018
00:52:44,920 --> 00:52:49,200
Speaker 1: basically took it a shade more cartoonist, right, yeah, yeah,

1019
00:52:49,640 --> 00:52:51,520
Speaker 1: because they wanted to honor a little bit like the

1020
00:52:51,640 --> 00:52:55,279
Speaker 1: source material. And I guess in a you know, in

1021
00:52:55,360 --> 00:52:58,800
Speaker 1: a packed year of reboots and ship next year, especially

1022
00:52:58,920 --> 00:53:02,960
Speaker 1: reboots that no one wants. Yeah, it's I can't remember,

1023
00:53:03,000 --> 00:53:06,799
Speaker 1: nobody's gonna go see this. I don't think unfortunately now.

1024
00:53:06,920 --> 00:53:08,920
Speaker 1: I mean, I guess, like kids, they're trying to just

1025
00:53:09,000 --> 00:53:11,120
Speaker 1: get the younger generation Jim Carrey's and it isn't he

1026
00:53:12,760 --> 00:53:14,880
Speaker 1: It feels like a movie that I would have been

1027
00:53:14,960 --> 00:53:18,600
Speaker 1: hyped about if I was twelve, like back then in

1028
00:53:18,719 --> 00:53:21,359
Speaker 1: the night like late nineties, then I'm like, oh, Jim

1029
00:53:21,480 --> 00:53:24,680
Speaker 1: Carrey and the Sonic, the hedgehop. Then kids are busting

1030
00:53:24,719 --> 00:53:26,799
Speaker 1: down the doors at that time for you know who

1031
00:53:26,840 --> 00:53:30,640
Speaker 1: it's gonna get though, It's gonna get like twenty eight

1032
00:53:30,800 --> 00:53:35,400
Speaker 1: to forty year old people with kids because then they

1033
00:53:35,440 --> 00:53:37,640
Speaker 1: can take their kids. And it's also a nostalgia viewing

1034
00:53:37,800 --> 00:53:39,920
Speaker 1: for them. Well, yeah, I mean that's who's making movies.

1035
00:53:40,000 --> 00:53:42,520
Speaker 1: That's who's green lighting these movies right now, is people

1036
00:53:42,760 --> 00:53:45,640
Speaker 1: like you know, your age or maybe a little bit older,

1037
00:53:45,719 --> 00:53:48,000
Speaker 1: but people who did grow up at a time when

1038
00:53:48,080 --> 00:53:51,279
Speaker 1: Sonic was an icon. So when you talk about kids,

1039
00:53:51,360 --> 00:53:54,640
Speaker 1: ship like that's what that's what's interesting to them, right, Yeah.

1040
00:53:54,680 --> 00:53:57,360
Speaker 1: I mean there's another Bad Boys movie, there's a remake

1041
00:53:57,400 --> 00:54:00,000
Speaker 1: of the Grudge, There's that fucking doctor do a Little

1042
00:54:00,000 --> 00:54:03,520
Speaker 1: a movie, Charlie's Angels. Yeah, there's just a lot of ship.

1043
00:54:03,840 --> 00:54:07,760
Speaker 1: Godzilla verse Kong a quiet place to We'll ask Godzilla

1044
00:54:07,800 --> 00:54:11,279
Speaker 1: didn't do that well. I don't remember any Godzilla doing well.

1045
00:54:11,400 --> 00:54:13,520
Speaker 1: I mean every single one. I feel like my entire

1046
00:54:13,640 --> 00:54:16,000
Speaker 1: life it's always been a bomb. Like there's the Matthew

1047
00:54:16,040 --> 00:54:19,440
Speaker 1: Broderick one that were Puff Daddy, and they're always they

1048
00:54:19,520 --> 00:54:22,560
Speaker 1: always just they always just bomb over and then they

1049
00:54:22,640 --> 00:54:24,839
Speaker 1: just keep remaking them. Then the other there's like two

1050
00:54:24,920 --> 00:54:27,560
Speaker 1: of them. Ago they only showed Godzilla for like four

1051
00:54:27,680 --> 00:54:29,719
Speaker 1: seconds in the whole film. The other the one they

1052
00:54:29,760 --> 00:54:31,319
Speaker 1: just came out with. Isn't it like it's like three

1053
00:54:31,360 --> 00:54:33,719
Speaker 1: hours long like some crazy which is just they just

1054
00:54:33,920 --> 00:54:37,080
Speaker 1: haven't made a good Godzilla movie and Forever Watch That

1055
00:54:37,160 --> 00:54:39,320
Speaker 1: on a plane. Yeah, I wonder if this will be

1056
00:54:39,560 --> 00:54:42,759
Speaker 1: viewed as like a period, like when you look back

1057
00:54:42,800 --> 00:54:45,239
Speaker 1: at the eighties, they're like a handful of really good

1058
00:54:45,320 --> 00:54:47,920
Speaker 1: movies every year, but for the most part, eighties movies

1059
00:54:47,960 --> 00:54:51,440
Speaker 1: are pretty ship. I wonder if, like now, through the

1060
00:54:51,520 --> 00:54:55,200
Speaker 1: next couple of decades, Fell or maybe through the next decade,

1061
00:54:55,400 --> 00:54:58,520
Speaker 1: will be viewed similarly as like, man, they just were

1062
00:54:58,719 --> 00:55:01,280
Speaker 1: they kind of hit a dry spell. Well that what happened,

1063
00:55:01,280 --> 00:55:03,640
Speaker 1: I think in terms of like blockbuster bigsuff. But there's

1064
00:55:03,680 --> 00:55:06,800
Speaker 1: just so many awesome movies that have come out in

1065
00:55:06,840 --> 00:55:09,440
Speaker 1: the last year, liked like like with the Favorite, like

1066
00:55:09,600 --> 00:55:11,360
Speaker 1: Last Year and all that stuff too, like all of

1067
00:55:11,400 --> 00:55:14,120
Speaker 1: those like big, like Unique, there's so many I mean

1068
00:55:14,120 --> 00:55:16,040
Speaker 1: obviously The Joker and stuff like that. Like there's been

1069
00:55:16,080 --> 00:55:19,000
Speaker 1: so many great films, just like the Giant, you know,

1070
00:55:19,320 --> 00:55:23,359
Speaker 1: transformsive style ones are the the blockbusters. The poles are

1071
00:55:23,520 --> 00:55:25,359
Speaker 1: starting to wane a little bit. They used to make

1072
00:55:25,440 --> 00:55:27,919
Speaker 1: like forty movies a year in the eighties, like that's

1073
00:55:27,960 --> 00:55:30,920
Speaker 1: all yeah, and like now it's no I remember, like

1074
00:55:31,040 --> 00:55:33,120
Speaker 1: for a while, like I felt like my knowledge of

1075
00:55:33,160 --> 00:55:39,640
Speaker 1: film was encyclopedic up until I'm like, yeah, I remember that.

1076
00:55:39,719 --> 00:55:41,239
Speaker 1: I didn't see it, but I know what you're talking

1077
00:55:41,239 --> 00:55:47,080
Speaker 1: about now. My yeah. Also, somebody was this isn't even

1078
00:55:47,160 --> 00:55:49,920
Speaker 1: on the dock. But so that movie Doctor Sleep came

1079
00:55:49,960 --> 00:55:53,520
Speaker 1: out that is like a sequel to It's like Danny

1080
00:55:53,680 --> 00:55:57,840
Speaker 1: from The Shining that it's basically a sequel to The Shining,

1081
00:55:58,040 --> 00:56:00,480
Speaker 1: and people I was reading it and now because it

1082
00:56:00,560 --> 00:56:03,720
Speaker 1: also bombed, just like the Terminator movie before, and somebody

1083
00:56:03,840 --> 00:56:06,920
Speaker 1: was saying that, like the Shining isn't iconic enough to

1084
00:56:07,560 --> 00:56:11,160
Speaker 1: carry like a sequel. My read on what was wrong

1085
00:56:11,200 --> 00:56:14,600
Speaker 1: with that is that the title was so stupid. Doctor

1086
00:56:14,719 --> 00:56:17,440
Speaker 1: Sleep just sounds like it's like a like they're a

1087
00:56:17,560 --> 00:56:23,520
Speaker 1: comedy comic. It's like a mattress store. Doctor Sleep is

1088
00:56:23,560 --> 00:56:27,160
Speaker 1: a mattress store. And like people would have been down

1089
00:56:27,400 --> 00:56:31,040
Speaker 1: for the right Shining sequel, but like the I just

1090
00:56:31,160 --> 00:56:34,080
Speaker 1: like the trailer mixed with a title, like just it

1091
00:56:34,160 --> 00:56:36,640
Speaker 1: didn't tell you really what it was or like how

1092
00:56:36,760 --> 00:56:39,800
Speaker 1: it related to the Shining. Like I don't think I

1093
00:56:39,840 --> 00:56:42,560
Speaker 1: wouldn't blame the original Shining. People were like, yeah, I

1094
00:56:42,600 --> 00:56:44,960
Speaker 1: mean it's not a it's not a family movie. And

1095
00:56:45,040 --> 00:56:49,800
Speaker 1: I'm like like the Shining is a right of passage.

1096
00:56:49,960 --> 00:56:51,799
Speaker 1: Shining is one of my favorite movie. I think it's

1097
00:56:51,800 --> 00:56:53,839
Speaker 1: a movie to a lot of people act like they

1098
00:56:53,920 --> 00:56:56,000
Speaker 1: know because they feel like they should know it and

1099
00:56:56,080 --> 00:56:58,560
Speaker 1: don't actually engage with it. So it's like, oh, yeah,

1100
00:56:58,640 --> 00:57:01,080
Speaker 1: the Shining here's on it right, like you know, like

1101
00:57:01,160 --> 00:57:03,600
Speaker 1: the sound bites, but they're like, oh, those kids in

1102
00:57:03,640 --> 00:57:09,239
Speaker 1: the tricycles, yeah, come playing with us right like where

1103
00:57:09,360 --> 00:57:11,480
Speaker 1: That's where I feel like people know, but I don't

1104
00:57:11,480 --> 00:57:13,399
Speaker 1: know how many people. Like I think, if you really

1105
00:57:13,719 --> 00:57:15,440
Speaker 1: like film, then you do know the Shining. But for

1106
00:57:15,520 --> 00:57:17,480
Speaker 1: other people, it's almost like, oh, yeah, I know that

1107
00:57:17,560 --> 00:57:19,720
Speaker 1: Beatles album, Like you just say it because you know

1108
00:57:19,840 --> 00:57:22,360
Speaker 1: it's accepted as being really good, but you don't really

1109
00:57:22,400 --> 00:57:24,320
Speaker 1: give a funk. It's the sixteen year old wearing the

1110
00:57:24,440 --> 00:57:29,840
Speaker 1: Ramones T shirt like two songs, you know, ram one

1111
00:57:32,960 --> 00:57:40,840
Speaker 1: something yeah, no man, and it's Shining too. It's like

1112
00:57:40,920 --> 00:57:43,440
Speaker 1: I love and even but even when The Shining came out,

1113
00:57:43,440 --> 00:57:46,520
Speaker 1: like Stephen King hated it, like it's just it's so funny,

1114
00:57:46,560 --> 00:57:48,280
Speaker 1: even that film. It's like, you know, even when it

1115
00:57:48,320 --> 00:57:50,160
Speaker 1: came out at the time, people are like, and that's

1116
00:57:50,200 --> 00:57:52,320
Speaker 1: something he was like it wasn't it wasn't a huge

1117
00:57:52,400 --> 00:57:55,200
Speaker 1: hit at the time. It was that Scott Mendelssohn, who's

1118
00:57:55,240 --> 00:57:58,960
Speaker 1: takes I always usually agree with, But I thought I didn't.

1119
00:57:59,120 --> 00:58:01,840
Speaker 1: I didn't think it was the lack of The Shining

1120
00:58:01,920 --> 00:58:04,960
Speaker 1: being iconic, because it's like that's it's a classic and

1121
00:58:05,040 --> 00:58:07,160
Speaker 1: it is like a rite of passage. It's like the

1122
00:58:07,320 --> 00:58:09,560
Speaker 1: scariest movie, Like when you're coming of age and people

1123
00:58:09,600 --> 00:58:12,400
Speaker 1: are like, oh, you've seen a scary movie, but have

1124
00:58:12,560 --> 00:58:15,320
Speaker 1: you seen The Shining? Like it's the scariest movie. Like,

1125
00:58:17,280 --> 00:58:19,840
Speaker 1: I think there's too much of a generational gap. I think,

1126
00:58:20,000 --> 00:58:22,920
Speaker 1: like I don't know how many Gen Z kids like

1127
00:58:23,600 --> 00:58:26,360
Speaker 1: because even now, right like Gen X, people will all

1128
00:58:26,440 --> 00:58:28,760
Speaker 1: accept that The Shining is like that movie, and it

1129
00:58:28,840 --> 00:58:30,760
Speaker 1: starts to get a little bit diluted when you get

1130
00:58:30,800 --> 00:58:33,800
Speaker 1: to the millennials and then around my age, like I

1131
00:58:33,920 --> 00:58:36,760
Speaker 1: feel like people in their thirties, you have maybe fifty

1132
00:58:36,840 --> 00:58:39,680
Speaker 1: people have seen it, people haven't, And then but a

1133
00:58:39,760 --> 00:58:41,320
Speaker 1: lot of people will be like, but yeah, I get it,

1134
00:58:41,360 --> 00:58:43,880
Speaker 1: it's an important movie. But like now, I don't know,

1135
00:58:44,360 --> 00:58:46,520
Speaker 1: I don't know how much that means, how like what

1136
00:58:46,640 --> 00:58:51,480
Speaker 1: that momentum is now Beyond Yes, the old Bill Simmons

1137
00:58:51,520 --> 00:58:53,600
Speaker 1: on parent Corner was saying his son went as Jack

1138
00:58:54,280 --> 00:58:57,760
Speaker 1: Nicholson from The Shining this year. So that's one example.

1139
00:58:57,800 --> 00:59:01,960
Speaker 1: It's called dad. That was like when I remember my

1140
00:59:02,080 --> 00:59:03,680
Speaker 1: dad trying to get me to watch like some old

1141
00:59:03,800 --> 00:59:06,160
Speaker 1: James Bond movie. Was like, no, this is actually the

1142
00:59:06,200 --> 00:59:09,560
Speaker 1: one seeing. I'm like, yo, this ship sucks. Yeah, exactly,

1143
00:59:09,840 --> 00:59:12,480
Speaker 1: a lot of things don't hold up when you see them,

1144
00:59:12,600 --> 00:59:15,160
Speaker 1: like especially if you grew up like with them being

1145
00:59:15,320 --> 00:59:18,760
Speaker 1: hyped there. I watched Uh. I watched Boondoc Saintes for

1146
00:59:18,800 --> 00:59:21,479
Speaker 1: the first time, like a couple of months ago, after

1147
00:59:21,640 --> 00:59:25,360
Speaker 1: everyone being especially in my college, like everyone was like, dude,

1148
00:59:25,680 --> 00:59:29,200
Speaker 1: you're Irish. This is the movie. This is the movie.

1149
00:59:29,320 --> 00:59:33,760
Speaker 1: I watched that. Yeah, not even but it's like it's

1150
00:59:33,760 --> 00:59:35,320
Speaker 1: just one of those things where you go okay and

1151
00:59:35,360 --> 00:59:37,120
Speaker 1: then there's so much hype to it, and then I

1152
00:59:37,240 --> 00:59:41,400
Speaker 1: watched it and I was like, oh, this is terrible, terrible.

1153
00:59:41,920 --> 00:59:44,480
Speaker 1: If it wasn't for Willem Dafoe was the only reason

1154
00:59:44,560 --> 00:59:49,240
Speaker 1: to watch that. He plays this wildly over flamboyant character.

1155
00:59:49,360 --> 00:59:52,800
Speaker 1: It doesn't make nothing makes sense. It's so uh, it's

1156
00:59:52,880 --> 00:59:55,400
Speaker 1: so out of touch with reality in terms of the

1157
00:59:55,480 --> 00:59:58,440
Speaker 1: things they're able to do both physics. They're like superhumans

1158
00:59:58,480 --> 01:00:00,320
Speaker 1: are the angels. I don't even know what's going on

1159
01:00:00,440 --> 01:00:03,440
Speaker 1: in it, but what they're like archangels but they're not,

1160
01:00:03,680 --> 01:00:06,000
Speaker 1: but they act like they do. It's a weird it's

1161
01:00:06,040 --> 01:00:08,400
Speaker 1: a weird scene. I had no idea what the movie was.

1162
01:00:08,800 --> 01:00:11,120
Speaker 1: I thought it was like Belly for white people. I

1163
01:00:11,200 --> 01:00:13,720
Speaker 1: think that's exactly in my mind. I was like, I'm like,

1164
01:00:13,840 --> 01:00:15,920
Speaker 1: I'll watch Belly because I want to, you know, I

1165
01:00:16,000 --> 01:00:19,040
Speaker 1: want to learn about Louis Rinkin and Jamaican gangs or

1166
01:00:19,080 --> 01:00:22,400
Speaker 1: something like Shot does. But then there's like because yeah,

1167
01:00:22,400 --> 01:00:24,680
Speaker 1: I never saw it because I think like a couple

1168
01:00:24,720 --> 01:00:27,120
Speaker 1: of people really liked it over my friend group, but

1169
01:00:27,280 --> 01:00:29,560
Speaker 1: I was just like, what is it. It is like

1170
01:00:29,600 --> 01:00:32,360
Speaker 1: a scene where there he's like handcuffed to like a

1171
01:00:32,520 --> 01:00:35,120
Speaker 1: sink while his brother is about to be murdered, and

1172
01:00:35,200 --> 01:00:38,120
Speaker 1: then he just gets so mad he just like pulls

1173
01:00:38,240 --> 01:00:40,520
Speaker 1: the sink off, like the pipe just pulls it off

1174
01:00:40,640 --> 01:00:44,160
Speaker 1: the wall. Risk Yeah, you know what, were just like

1175
01:00:44,240 --> 01:00:46,280
Speaker 1: he just gets somebody goes ah and just pulls it off.

1176
01:00:46,280 --> 01:00:50,880
Speaker 1: They're like okay, so you're just like, yeah, exactly. Yeah,

1177
01:00:50,880 --> 01:00:53,440
Speaker 1: and they have the body of heroin hard cut to

1178
01:00:53,480 --> 01:00:56,360
Speaker 1: a plumbing ad. Has this ever happened to you? To

1179
01:00:56,440 --> 01:01:01,120
Speaker 1: call Mike Diamond? Does this ever happen to you? Big

1180
01:01:01,240 --> 01:01:06,080
Speaker 1: mud pies? Alright, let's talk about something for all the

1181
01:01:06,120 --> 01:01:11,160
Speaker 1: parents to be aware of. Some people maybe genetically predisposed

1182
01:01:11,200 --> 01:01:14,600
Speaker 1: to hating certain vegetables. Yeah, I did not. I saw

1183
01:01:14,680 --> 01:01:17,160
Speaker 1: the headline. It's like it could be in your genetics.

1184
01:01:17,600 --> 01:01:21,600
Speaker 1: And apparently if everyone inherits So this is from this

1185
01:01:21,680 --> 01:01:24,560
Speaker 1: BBC article I'll read from a directly says everyone inherits

1186
01:01:24,600 --> 01:01:27,040
Speaker 1: two copies of a taste gene called t A S

1187
01:01:27,440 --> 01:01:30,440
Speaker 1: two R thirty eight. It encodes for a protein in

1188
01:01:30,520 --> 01:01:33,200
Speaker 1: the taste receptors on the tongue which allows us to

1189
01:01:33,320 --> 01:01:36,760
Speaker 1: taste bitterness. People who inherit two copies of a variant

1190
01:01:36,840 --> 01:01:39,640
Speaker 1: of the gene called a V I are not sensitive

1191
01:01:39,720 --> 01:01:42,320
Speaker 1: to bitter taste from certain chemicals. But anyway, they go

1192
01:01:42,360 --> 01:01:44,880
Speaker 1: on to say, if you have two copies of a

1193
01:01:45,120 --> 01:01:49,640
Speaker 1: different variant p P a V often called super tasters,

1194
01:01:49,920 --> 01:01:53,280
Speaker 1: those people tend to find certain foods exceptionally bitter. So

1195
01:01:53,320 --> 01:01:56,000
Speaker 1: they're saying, inheriting two copies of the unpleasant taste gene

1196
01:01:56,000 --> 01:01:59,200
Speaker 1: provides a ruin your day level of bitterness to foods

1197
01:01:59,200 --> 01:02:05,200
Speaker 1: like broccoli and brouts that's strongly worded. Even beer, coffee

1198
01:02:05,240 --> 01:02:08,960
Speaker 1: or dark chocolate. Yeah, so that's what Like I I

1199
01:02:09,400 --> 01:02:12,120
Speaker 1: used to like bitter beer, and like I don't. I

1200
01:02:12,320 --> 01:02:14,880
Speaker 1: like coffee like I don't it doesn't ruin my day

1201
01:02:15,240 --> 01:02:18,800
Speaker 1: when when it's a little bit bitter. So I'm guessing

1202
01:02:18,840 --> 01:02:22,000
Speaker 1: I'm not one of these people. And it just suggests

1203
01:02:22,240 --> 01:02:26,880
Speaker 1: that there is like a level of hating vegetables that

1204
01:02:27,240 --> 01:02:30,240
Speaker 1: my mind can't even conceive of. Like it's just like

1205
01:02:30,320 --> 01:02:34,520
Speaker 1: there's a depth there that like I assumed that we

1206
01:02:34,640 --> 01:02:38,040
Speaker 1: were all working from the same palette and uh turns

1207
01:02:38,080 --> 01:02:40,520
Speaker 1: out nah, Well they say your taste but just change

1208
01:02:40,520 --> 01:02:43,200
Speaker 1: every like seven years or something like that, which is why,

1209
01:02:43,360 --> 01:02:46,080
Speaker 1: like you know, you could hate coffee or you know

1210
01:02:46,160 --> 01:02:48,040
Speaker 1: whatever at this point in your life and then later on,

1211
01:02:48,280 --> 01:02:49,920
Speaker 1: you know, it starts stays better and stuff like that.

1212
01:02:50,000 --> 01:02:52,200
Speaker 1: But I always just remembered vegetables like the reason I

1213
01:02:52,240 --> 01:02:53,360
Speaker 1: didn't like them as a kid. I just was like

1214
01:02:53,400 --> 01:02:55,680
Speaker 1: they're so bland, Like that's it was more, it wasn't

1215
01:02:55,720 --> 01:02:57,200
Speaker 1: a bitterness thing. I was like I don't know. They

1216
01:02:57,280 --> 01:03:00,880
Speaker 1: taste like nothing, I mean boring. Did you hate a

1217
01:03:00,920 --> 01:03:03,600
Speaker 1: specific vegetable growing? But it was just really the black.

1218
01:03:03,840 --> 01:03:06,040
Speaker 1: I remember there was some I've always remembered, like you know,

1219
01:03:06,160 --> 01:03:08,200
Speaker 1: like corn and peas and spinach I was down with,

1220
01:03:08,400 --> 01:03:11,080
Speaker 1: but like, yeah, like I don't think broccoli. I I

1221
01:03:11,120 --> 01:03:14,960
Speaker 1: mean califlowers, like the quintessential, Like nobody wants that kind

1222
01:03:15,000 --> 01:03:18,920
Speaker 1: of bullshit. But yeah, I mean now it's like now

1223
01:03:19,000 --> 01:03:20,480
Speaker 1: I love it all, you know what I mean, which

1224
01:03:20,560 --> 01:03:22,080
Speaker 1: is so weird, and I think it is when you

1225
01:03:22,200 --> 01:03:24,200
Speaker 1: get like, you know, I remember when I first started

1226
01:03:24,240 --> 01:03:26,160
Speaker 1: drinking coffee. Coffee is a great example of that where

1227
01:03:26,160 --> 01:03:27,560
Speaker 1: it was like in the same with beer, where you're

1228
01:03:27,560 --> 01:03:32,080
Speaker 1: like I started with like java chip frappuccinos from Starbucks

1229
01:03:32,120 --> 01:03:35,040
Speaker 1: because it tasted like a milkshake. Yeah, And then I

1230
01:03:35,080 --> 01:03:37,280
Speaker 1: went to and then I went to Dungan Donuts ice

1231
01:03:37,320 --> 01:03:40,080
Speaker 1: coffee with like heavy milk and heavy sugar. I said.

1232
01:03:40,080 --> 01:03:41,600
Speaker 1: Then and then all of a sudden, you slowly like

1233
01:03:41,800 --> 01:03:44,640
Speaker 1: we off less sugar, less sugar, no sugar. Yeah, and

1234
01:03:44,680 --> 01:03:46,360
Speaker 1: now it's like milk. It's like now I'm like if

1235
01:03:46,400 --> 01:03:48,720
Speaker 1: they put more than a thimble of almond milk in

1236
01:03:48,800 --> 01:03:51,120
Speaker 1: my coffee. I just throw it at the wall, throw

1237
01:03:51,160 --> 01:03:55,800
Speaker 1: it over, you know. Yeah, yeah, I don't know. I

1238
01:03:55,840 --> 01:03:58,600
Speaker 1: mean like I don't like to taste of rock harrots. Yeah,

1239
01:03:58,680 --> 01:04:00,800
Speaker 1: it's a bitterness thing, really, I just don't like. It's

1240
01:04:00,800 --> 01:04:04,439
Speaker 1: just I think the flicking mouth feel because it's weird.

1241
01:04:04,480 --> 01:04:07,640
Speaker 1: I'll eat that ship with hummus, okay, yeah, but like

1242
01:04:08,000 --> 01:04:12,160
Speaker 1: give me a handful of rock harrets. I'm like, I

1243
01:04:12,240 --> 01:04:14,840
Speaker 1: think I always imagine myself like eating I don't know,

1244
01:04:14,920 --> 01:04:17,320
Speaker 1: it's like that's the hardest thing you could eat. Like

1245
01:04:17,520 --> 01:04:22,080
Speaker 1: so I'm like a would chipper or something, just like

1246
01:04:22,200 --> 01:04:28,080
Speaker 1: the consistent yeah you in our head. Yeah, I think

1247
01:04:28,200 --> 01:04:31,760
Speaker 1: the most inconsistent fruit on the planet is grapes. Are

1248
01:04:31,800 --> 01:04:35,680
Speaker 1: grapes because soft old one. I mean it's like every

1249
01:04:35,760 --> 01:04:38,120
Speaker 1: grape it's you know, you get even in in one

1250
01:04:38,200 --> 01:04:39,680
Speaker 1: stem of them. You could be like best grape I

1251
01:04:39,760 --> 01:04:41,720
Speaker 1: ever had, best grape I ever had. This one's filled

1252
01:04:41,760 --> 01:04:45,200
Speaker 1: with lime juice. And then this one just tastes like

1253
01:04:45,320 --> 01:04:47,840
Speaker 1: an old like I'm sucking on an old grandma's elbow.

1254
01:04:47,960 --> 01:04:50,560
Speaker 1: Like it just tastes like let loose awful skin. Yeah.

1255
01:04:50,640 --> 01:04:54,479
Speaker 1: Another one's like a soft old fish. Eyeball. Yeah, yeah,

1256
01:04:54,760 --> 01:04:56,920
Speaker 1: like it like doesn't yeah, it doesn't snap into it.

1257
01:04:57,080 --> 01:05:00,400
Speaker 1: You know. That's why I think recently when I've bottom

1258
01:05:00,440 --> 01:05:02,680
Speaker 1: at like a farmer's market or something, and what I

1259
01:05:02,760 --> 01:05:05,320
Speaker 1: asked him, I'm like, the ones that are on there?

1260
01:05:05,360 --> 01:05:07,520
Speaker 1: Can you eat those? Like? Should I not give a funk?

1261
01:05:07,760 --> 01:05:10,360
Speaker 1: Like you're fine? I think, And I'm like, I think

1262
01:05:10,360 --> 01:05:13,480
Speaker 1: I'm fine too, But now I inspect bunches of grapes. Yeah,

1263
01:05:13,480 --> 01:05:15,480
Speaker 1: I'm trying to tell what's the ratio here of like

1264
01:05:15,680 --> 01:05:18,000
Speaker 1: fully perfect ones? Yeah, you know, because I get it,

1265
01:05:18,480 --> 01:05:22,320
Speaker 1: nature is imperfect, but I gotta have your your grapes

1266
01:05:22,640 --> 01:05:25,080
Speaker 1: like Concorde like yeah, I like your whole grapes like

1267
01:05:25,120 --> 01:05:28,000
Speaker 1: a good sweet like I hated Granny Smith Apple Like

1268
01:05:28,560 --> 01:05:31,080
Speaker 1: that's way too. I don't know. My wife loves those,

1269
01:05:31,120 --> 01:05:34,560
Speaker 1: and I'm like, I can't imagine enjoying anything less. They're

1270
01:05:34,680 --> 01:05:38,560
Speaker 1: so tart. Yeah, it's it's it's like a I feel

1271
01:05:38,560 --> 01:05:40,200
Speaker 1: like something like a monk would do. It's like a

1272
01:05:40,240 --> 01:05:44,919
Speaker 1: spiritual pride and enjoy that does it to fine Zen

1273
01:05:45,040 --> 01:05:48,400
Speaker 1: and Nirvana, Well, it's like you cannot know sweet unless

1274
01:05:48,520 --> 01:05:51,120
Speaker 1: you know bitter. Yeah, I'm like, okay, full, just give

1275
01:05:51,160 --> 01:05:53,360
Speaker 1: you my fucking apple just walk across the hot color.

1276
01:05:54,520 --> 01:05:58,600
Speaker 1: I feel like knowing grape brands is my next level.

1277
01:05:58,720 --> 01:06:00,960
Speaker 1: Like I figured out like apple brands that I like,

1278
01:06:01,080 --> 01:06:04,240
Speaker 1: and apple brands I don't like. There's green or red grapes,

1279
01:06:04,720 --> 01:06:06,440
Speaker 1: but for me, yeah, it's just like I like the

1280
01:06:06,800 --> 01:06:10,560
Speaker 1: crunchy ones, not the soft ones, and I don't like seeds.

1281
01:06:10,960 --> 01:06:13,080
Speaker 1: But like the fact that you know you're grape brands.

1282
01:06:13,200 --> 01:06:15,720
Speaker 1: That's that's something I aspired to the level of produce

1283
01:06:15,840 --> 01:06:18,120
Speaker 1: mindfulness that it's just like when you start, you know,

1284
01:06:18,800 --> 01:06:21,040
Speaker 1: I love grapes, man, I just love them. They fucking

1285
01:06:21,160 --> 01:06:26,200
Speaker 1: straight out the refrigerator like ice cold that freezer. Yeah yeah, yeah,

1286
01:06:26,560 --> 01:06:28,800
Speaker 1: that's not too bad. But I just like the it's

1287
01:06:28,960 --> 01:06:31,880
Speaker 1: like it's a little more work when they're frozen versus

1288
01:06:31,960 --> 01:06:33,560
Speaker 1: like when they're just out the refrigerator. Feel like I'm

1289
01:06:33,600 --> 01:06:37,440
Speaker 1: just eating many grape juices, right. Yeah, that's another that's

1290
01:06:37,480 --> 01:06:40,240
Speaker 1: what we're chasing that you get more appreciation for when

1291
01:06:40,280 --> 01:06:43,240
Speaker 1: you have kids. There's grapes that because they just treat

1292
01:06:43,280 --> 01:06:46,600
Speaker 1: them like candy, Like there's like, really, I just get

1293
01:06:46,680 --> 01:06:55,280
Speaker 1: to eat these that's insane. That and helicopters, guys all right, Mike,

1294
01:06:55,440 --> 01:06:57,240
Speaker 1: it's been a pleasure of having you. Man, where can

1295
01:06:57,320 --> 01:07:00,360
Speaker 1: people find you and follow you? Thanks so much. I

1296
01:07:00,440 --> 01:07:03,480
Speaker 1: have a My debut album, Raged Against the Routine, is

1297
01:07:03,520 --> 01:07:06,640
Speaker 1: out right now available everywhere. Please check that out. I

1298
01:07:06,720 --> 01:07:08,680
Speaker 1: do look like the kid from the Evil Empire. That's

1299
01:07:08,800 --> 01:07:11,960
Speaker 1: have you seen the cover, because that's that's my whole life.

1300
01:07:12,040 --> 01:07:13,880
Speaker 1: I got told that I look like that kid, so

1301
01:07:14,560 --> 01:07:17,480
Speaker 1: you know, really, yeah, my whole lot always seriously and

1302
01:07:17,560 --> 01:07:19,160
Speaker 1: it kind of worked out on level because like Raging

1303
01:07:19,160 --> 01:07:21,160
Speaker 1: Against Machines like was my favorite band growing up. Now

1304
01:07:21,200 --> 01:07:23,480
Speaker 1: they also reunited the week the album came out, which

1305
01:07:23,640 --> 01:07:28,640
Speaker 1: go into You're welcome America and uh yeah, but it's

1306
01:07:28,680 --> 01:07:31,160
Speaker 1: it's it's it's very approposed well because I might set

1307
01:07:31,200 --> 01:07:34,520
Speaker 1: as mostly me being angry about really routine, bullshit things,

1308
01:07:34,600 --> 01:07:37,760
Speaker 1: so really is it works. But Mike Feeney Comedy dot

1309
01:07:37,800 --> 01:07:40,760
Speaker 1: Com on social media at I am Mike Feenie across

1310
01:07:40,800 --> 01:07:42,480
Speaker 1: the board, Instagram, Twitter and all that stuff. Oh and

1311
01:07:42,560 --> 01:07:46,080
Speaker 1: I have a podcast storytelling podcast called Irish Goodbye, which

1312
01:07:46,120 --> 01:07:50,320
Speaker 1: is available everywhere you listen to podcasts. Do you make it?

1313
01:07:50,400 --> 01:07:54,320
Speaker 1: Do you Irish Goodbye? I did it as recently as

1314
01:07:54,400 --> 01:07:57,600
Speaker 1: last night I just it's it's one of my few

1315
01:07:57,880 --> 01:08:01,000
Speaker 1: really good skills on this planet. Is uh yeah. And

1316
01:08:01,080 --> 01:08:02,840
Speaker 1: then he here's the thing to my my co host

1317
01:08:02,960 --> 01:08:05,320
Speaker 1: and Mike Cannon and I we argue because we both

1318
01:08:05,320 --> 01:08:08,080
Speaker 1: Irish goodbye, but he we have different approaches to it.

1319
01:08:08,200 --> 01:08:11,640
Speaker 1: My Irish goodbye is once I leave, you don't hear

1320
01:08:11,720 --> 01:08:14,720
Speaker 1: from me until the next day minimum, you know. And

1321
01:08:14,800 --> 01:08:17,880
Speaker 1: then he leaves and he'll like text everybody be like, hey,

1322
01:08:17,960 --> 01:08:21,080
Speaker 1: I just I'm gone Irish goodbye because he wants that last,

1323
01:08:21,200 --> 01:08:23,040
Speaker 1: like oh no, why do you lean you know that

1324
01:08:23,160 --> 01:08:25,320
Speaker 1: that last like, oh, we'll see you later. He claims

1325
01:08:25,360 --> 01:08:27,240
Speaker 1: it so that people know he's safe. But I'm like,

1326
01:08:27,320 --> 01:08:28,960
Speaker 1: I'm sorry. You just got to know me, if you

1327
01:08:29,120 --> 01:08:30,600
Speaker 1: if you know me enough to reach out to me

1328
01:08:30,640 --> 01:08:32,960
Speaker 1: to see if I'm safe, you know, if I Irish goodbye,

1329
01:08:32,960 --> 01:08:36,200
Speaker 1: I'm out. Well. Batman disappears on Commissioner Gordon. He doesn't

1330
01:08:36,280 --> 01:08:38,160
Speaker 1: send a text to like, hey man, I'm done the

1331
01:08:39,800 --> 01:08:41,360
Speaker 1: sorry sorry you were in the middle of a sentence.

1332
01:08:41,360 --> 01:08:45,200
Speaker 1: I just found it. It was like perfect timing. Uh

1333
01:08:45,400 --> 01:08:49,280
Speaker 1: is there a tweet you've been enjoying? Oh? Yes, absolutely so. Uh.

1334
01:08:49,600 --> 01:08:52,519
Speaker 1: I love another comedian that is now out here in

1335
01:08:52,680 --> 01:08:56,240
Speaker 1: l A. Josh Gondleman is so funny, and he's always

1336
01:08:56,280 --> 01:08:59,120
Speaker 1: so funny on Twitter, but this one particularly tickled me

1337
01:08:59,680 --> 01:09:02,000
Speaker 1: from I think it was yesterday the day before, he says,

1338
01:09:02,479 --> 01:09:05,799
Speaker 1: I've been meeting more people who consider themselves Calie sober,

1339
01:09:06,040 --> 01:09:08,240
Speaker 1: which just don't drink but still smoke weed. But I'm

1340
01:09:08,240 --> 01:09:11,200
Speaker 1: still more comfortable around people who are Boston sober, which

1341
01:09:11,280 --> 01:09:14,080
Speaker 1: is court ordered to cut out booze after crashing their

1342
01:09:14,120 --> 01:09:20,920
Speaker 1: car into a dunkin Dons. Yeah. He's the best and

1343
01:09:21,040 --> 01:09:25,720
Speaker 1: such a nice dude, suspiciously nice. Yeah, I got I

1344
01:09:25,800 --> 01:09:29,280
Speaker 1: have questions. Yeah, funk that guy right. Where can people

1345
01:09:29,360 --> 01:09:32,920
Speaker 1: find you? I can find me on Twitter and Instagram

1346
01:09:33,160 --> 01:09:37,000
Speaker 1: at miles of gray. Uh. Some tweets I like ones

1347
01:09:37,040 --> 01:09:42,320
Speaker 1: from Dana Donneley Uh no one this tweet instructed anyway.

1348
01:09:42,640 --> 01:09:45,240
Speaker 1: Uh me after not having sex for a month, responding

1349
01:09:45,280 --> 01:09:47,920
Speaker 1: to a guy's text at one am. Yeah sure, I'd

1350
01:09:47,960 --> 01:09:49,920
Speaker 1: love to come meet you at your friend's backyard and

1351
01:09:50,000 --> 01:09:55,120
Speaker 1: punk show. That sounds so fun. Um. And then another one,

1352
01:09:56,320 --> 01:10:00,720
Speaker 1: uh is from Brittany Nichols at fish Hilarious. Women really

1353
01:10:00,800 --> 01:10:03,360
Speaker 1: be twenty minutes late for a departure time they said,

1354
01:10:03,439 --> 01:10:08,040
Speaker 1: and then yell you come in from the door. Jasmine

1355
01:10:08,400 --> 01:10:11,920
Speaker 1: Sharie Sanders tweeted, why do I have to share my

1356
01:10:12,040 --> 01:10:15,080
Speaker 1: birthday with Leo DiCaprio of all people, a man who

1357
01:10:15,160 --> 01:10:19,320
Speaker 1: has never once celebrated a woman growing older? Uh? And

1358
01:10:19,520 --> 01:10:23,120
Speaker 1: Sean Clemens tweeted pushing outifications there's thirsty as fun and

1359
01:10:23,800 --> 01:10:26,560
Speaker 1: that's true. It is Uh. You can find me on

1360
01:10:26,600 --> 01:10:29,080
Speaker 1: Twitter at Jack Underscore O'Brien. You can find us on

1361
01:10:29,160 --> 01:10:32,760
Speaker 1: Twitter at Daily Zeys. Were at the Daily Zygeist on Instagram.

1362
01:10:33,080 --> 01:10:35,439
Speaker 1: We have a Facebook fan page on a website, Daily

1363
01:10:35,600 --> 01:10:39,240
Speaker 1: Ziys dot com. Boy post our episodes and our footnote

1364
01:10:39,640 --> 01:10:41,479
Speaker 1: where we link off to the information that we talked

1365
01:10:41,479 --> 01:10:44,519
Speaker 1: about today's episode, as well as the song we right

1366
01:10:44,720 --> 01:10:46,960
Speaker 1: out on miles. What's that Gonna Be Today is a

1367
01:10:47,080 --> 01:10:50,840
Speaker 1: song from Pink seafood S. I I f you called

1368
01:10:50,920 --> 01:10:53,800
Speaker 1: pray every Day. Yeah, just like Justin in his wife

1369
01:10:54,720 --> 01:10:58,280
Speaker 1: pray every day over each other, just like bone Yeah exactly. Uh.

1370
01:10:58,520 --> 01:11:02,320
Speaker 1: And you know, just a you know a great example

1371
01:11:02,600 --> 01:11:07,160
Speaker 1: of like old sample based hip hop, nice little drum sample,

1372
01:11:07,720 --> 01:11:10,720
Speaker 1: nice little jazz sample, put together with some lyrics and

1373
01:11:11,080 --> 01:11:15,200
Speaker 1: got a track. So let's pray every day by Pig Seaton. Alright,

1374
01:11:15,360 --> 01:11:17,639
Speaker 1: the daily Ze guys doesn't production of I Heart Radio.

1375
01:11:17,720 --> 01:11:19,880
Speaker 1: For more podcasts from my Heart Radio, visit the I

1376
01:11:20,000 --> 01:11:23,040
Speaker 1: Heart Radio at Apple podcast or wherever you listen to

1377
01:11:23,080 --> 01:11:26,320
Speaker 1: your favorite shows. That's gonna do it for today. We'll

1378
01:11:26,360 --> 01:11:30,040
Speaker 1: be back this afternoon and then tomorrow morning with more podcasts.

1379
01:11:30,120 --> 01:11:55,120
Speaker 1: Talk to you them by running net it tap one different?

1380
01:11:55,200 --> 01:12:00,519
Speaker 1: What kind of tap way to see? Do? Tell me

1381
01:12:00,600 --> 01:12:03,920
Speaker 1: to your time to go? It's such a mine too much,

1382
01:12:04,880 --> 01:12:06,479
Speaker 1: I begin my head too much