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Speaker 1: Hello the Internet, and welcome to season fifty eight, Episode

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Speaker 1: two of Dirt Daily Sight Geys, the podcast where we

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Speaker 1: take a deep dive into America's share consciousness using the headlines,

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Speaker 1: box office reports, TV ratings, what's trending on Google? On

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Speaker 1: social meats? Uh, it's Tuesday, November twenty. My name is

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Speaker 1: Jack O'Brien. Ay k, I don't practice Jack O'Brien. I

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Speaker 1: don't got no crystal ball, and I'm bad and uh

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Speaker 1: OpEd them all that is courtesy, if not your real dad's.

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

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Speaker 1: co host, Mr Miles Great. I can show you hot takes, shining, shimmering,

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Speaker 1: Ted Cruise. Tell me, Miles, now, when did you last

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Speaker 1: let your wait, shit wait no retakes your hardest side site,

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Speaker 1: Gang World A dazzling gray. I never knew, but when

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Speaker 1: I'm way up here, it's crystal clear that now I'm

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Speaker 1: in a second rate cast with Now I'm in a

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Speaker 1: second rate cash that is from hannassaults assault, just hands

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Speaker 1: over already. Yeah, you know I could have got My

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Speaker 1: favorite part of that is when don't you dare close

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Speaker 1: your eyes? But that is not in that. But yeah,

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Speaker 1: hannas soul just as Hannah shout out to you, you

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Speaker 1: got the dramatic thing speaking going like part of the

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Speaker 1: Broadway adaptation, Big Allen Mankin fan, Big Alan Mankin fan,

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Speaker 1: he's the ghost. I thought. Maybe by the way, for

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Speaker 1: people who don't realize, Ted Cruise insisted the reason why

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Speaker 1: I was driving Ted Cruise in there, he's not really

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Speaker 1: part of the or you weren't aware because he uh.

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Speaker 1: Ted Cruise insisted that that song be played on CD

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Speaker 1: at his wedding like they had a band, and he

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Speaker 1: was like, no, they can't do it that, No, they

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Speaker 1: don't know how to do that, and just play the Anyways,

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Speaker 1: we're thrilled to be joined our third seed by the

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Speaker 1: hilarious comedian Nick Turner. You know, my name's Nick Turner.

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Speaker 1: He is cool and he is me. He is going

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Speaker 1: to park with you today. Let's get started. Who Yes,

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Speaker 1: that was pretty good. Yeah, bring ah well, Nick, welcome.

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Speaker 1: You've sat there for a long time not being able

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Speaker 1: to say anything for reasons we won't talk about, but

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Speaker 1: because his mom called his Christmas gift choices of years.

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Speaker 1: Rest down. All right, we're gonna get to tell you

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Speaker 1: a little bit better in a moment, and I swear

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Speaker 1: we will let you talk, But first we're gonna tell

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Speaker 1: our listeners what we're talking about. We're talking about the

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Speaker 1: best mom on Instagram just shouting out to her child

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Speaker 1: on that child's birthday. We're gonna talk about Mickey D's

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Speaker 1: testing out cheese bacon fries. We're gonna talk about SNL

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Speaker 1: super lit joke about how people are whiny bitches for

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Speaker 1: complaining about Amazon coming to New York City with their

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Speaker 1: h Q. Two, we are going to talk about how

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Speaker 1: the White House has decided no comedians for this year's

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Speaker 1: White House Correspondence Correspondents Association. No comedians, They're gonna have

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Speaker 1: a historian instead, as if historians are more happy with

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Speaker 1: what Trumps has done to the country. Uh. And we're

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Speaker 1: gonna shout out cards against humanity. We're gonna talk about

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Speaker 1: Gary Hart, We're gonna talk about Havanah, all of that

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Speaker 1: and more. But first, Nick, what is something from your

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Speaker 1: search history that's revealing about who you are? Oh? Yes,

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Speaker 1: I just looked, and what I was most interested in

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Speaker 1: this weekend was stuffing wrisipes stuffing rest of most of

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Speaker 1: the Google searches were for what bread is best to

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Speaker 1: use in stuffing. And I had to google it so

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Speaker 1: many times because people don't have opinions. Every recipe just

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Speaker 1: says bread, right, And I'm like, I know that there's

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Speaker 1: plenty of types of bread, and I know that some

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Speaker 1: bread is better than others. Stop screwing with me. Yeah,

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Speaker 1: so you gotta scroll and you gotta search. And cream

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Speaker 1: gazed donuts, I wish, I wish bagels is a popular one.

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Speaker 1: I did not see many doughnuts. Damn, I think that

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Speaker 1: might be too sweet. Um. But white bread how boring.

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Speaker 1: It almost makes me not want to make it. And

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Speaker 1: that's the answer is white bread, white bread, just like

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Speaker 1: wonder just yeah, well Martin's potato bread and I'll try

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Speaker 1: to get that. That sounds a little more interesting. Yeah,

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Speaker 1: holla was high high as white the kai But well,

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Speaker 1: I see interesting. Wait, so you're gonna handmake it? You're

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Speaker 1: not doing the jankie box Marie Calendar. And I got

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Speaker 1: invited to um a Thanksgiving dinner from someone who is

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Speaker 1: a great cook and who have had a dinner party

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Speaker 1: over at her house before and was the best. So

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Speaker 1: we lost, you know too, great Santhony Bourdaine, Jonathan gold

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Speaker 1: Uh and so I looked up Anthony Bourdain's recipe and

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Speaker 1: then Jonathan Gould had a lot of suggestions as well,

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Speaker 1: incorporating them both, but neither one of them had a

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Speaker 1: bread suggest That's weird. I know, you know what, I'm

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Speaker 1: sure the Zeit gang has an idea. These people who

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Speaker 1: listen to the show. They I mean, there's some culinary

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Speaker 1: experts out there. I wonder if it's does it help

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Speaker 1: that it's crustier, is about the flesh of you know,

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Speaker 1: that it's inside. I do like it, like sometimes when

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Speaker 1: you get that real chewy piece of stuffing because I

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Speaker 1: just like to be mush really really, I'm disturbed. Yeah, well,

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Speaker 1: I mean I just you know, it's like once it's

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Speaker 1: all hard, you know, because you just gotta stale it. Yeah,

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Speaker 1: then I think it just nothing really matters anymore. Crap bread,

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Speaker 1: nothing really matters. What is something you think is overrated? Um? No, No,

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Speaker 1: it couldn't be less. I love I'm a big fan

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Speaker 1: of theatrics, and I love what the guys are doing

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Speaker 1: over there and doing the most, doing the most. That's

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Speaker 1: a ready work, doing the most. That should just be

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Speaker 1: the definition of doing the most. No for overrated. Recently,

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Speaker 1: i've been thinking a lot about happy birthdays, just saying

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Speaker 1: happy birthday, wishing someone a happy birthday, especially on social media,

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Speaker 1: but even in real life. What could matter less? And

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Speaker 1: also what are the odds that that person's like jazz

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Speaker 1: that they are you know older? Yeah? I like it

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Speaker 1: the way we celebrate these this youth culture. You know,

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Speaker 1: we've we've rotted people's minds and then we go around

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Speaker 1: being like, hey, congrats on getting older, you jerk. I

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Speaker 1: know that that's you know, you're taking a dig. They're

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Speaker 1: like more elaborate, God bless yous. In some ways, the

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Speaker 1: happy birthday it's just like a formality, like oh God

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Speaker 1: bless like happy bad that it's your birtha happy birthday, man. Yeah.

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Speaker 1: I like sometimes if you if it's someone you haven't

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Speaker 1: heard from in a while, you know, especially because like

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Speaker 1: sometimes friendships can like wane a little bit and I

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Speaker 1: never heard and then someone's like, hey, man, happy birthday.

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Speaker 1: Like that's right, okay, we look yeah, well yeah, sure, okay. Yeah.

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Speaker 1: If you get like a phone call, yeah yeah, from

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Speaker 1: like a friend you've been wanting to talk to, you're

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Speaker 1: just talking about the casual like hey, hbd, man, you

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Speaker 1: gotta go, oh my god, I mean on Facebook. You know,

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Speaker 1: I mean, I'm obviously a bit of a celebrity, so

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Speaker 1: I get I wish you happy birthday much. I know

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Speaker 1: you didn't like that. Ship I certainly didn't. I'm actually

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Speaker 1: made it. I'm such I'm such a hater, but I

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Speaker 1: I I announced on Facebook that I certainly did not

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Speaker 1: read everyone know you know you got it, um, but

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Speaker 1: especially like the coming back the next day and be

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Speaker 1: like thanks for all the happy birthdays y'all. Yeah, just

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Speaker 1: just to let you know if he didn't get it

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Speaker 1: in now's the time in the comments comments, my birthday

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Speaker 1: is extending. I'm gonna put this back up into your

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Speaker 1: timeline so that you're see that's the one part I

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Speaker 1: suked up by leaving Facebook, really like, I know that

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Speaker 1: a lot of people that's where I would get the

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Speaker 1: most actions with people on my birthday on Facebook. And

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Speaker 1: this was like the first year I didn't even just

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Speaker 1: bother to go back to do like shout out to everyone,

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Speaker 1: just said happy birthday, because I can't have Fuckerberg just

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Speaker 1: stealing my Yeah, he don't. You can't know that you're

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Speaker 1: grateful for those my birthday that I entered voluntarily. I

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Speaker 1: feel like Facebook, first and foremost is a birthday reminder machine.

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Speaker 1: That's all It's good at this point. Hey, this person

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Speaker 1: is having a birthday that you forgot existed since high school.

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Speaker 1: What is something you think is underrated? Underrated? Counting votes

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Speaker 1: in elections? Yeah, I still am flabbergasted that they're not

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Speaker 1: counting them. They're not gonna do it. They're not gonna

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Speaker 1: do it in Florida, they're not gonna do it anywhere.

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Speaker 1: They just there's military ballots. There's plenty of writing about

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Speaker 1: that are mail in ballots that they've stated they can't

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Speaker 1: count and that they never will. I say, next election,

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Speaker 1: we don't find out any results from months we give

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Speaker 1: everyone time to count it, we don't get anything trickling

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Speaker 1: in nothing. And then you just got bozos being like

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Speaker 1: that that that signature doesn't match. I'm not going to

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Speaker 1: count that, and it's just some guy, just some volunteer.

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Speaker 1: That is insane. And Plus I would create jobs because

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Speaker 1: there would if you gave a month to count, there

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Speaker 1: would be entire like league industries of people just being like,

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Speaker 1: well you can't count that one, right, right, right? Yeah? Yeah,

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Speaker 1: And I do want to give more jobs to lawyers. Yeah,

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Speaker 1: we need more of those, don't Yeah, yeah, sucking around

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Speaker 1: with us, keep them fucking busy with others. But they're

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Speaker 1: like what like over a hundred lawyers on the ground

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Speaker 1: in Florida for the YEA, just ready to ready to land,

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Speaker 1: but not quite wanting to commit to it. I mean, yeah,

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Speaker 1: votes are a tricky thing because if you count them

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Speaker 1: and then the thing, the result is not the one

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Speaker 1: you want, and they suck. Yeah you don't, No, I don't,

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Speaker 1: I don't want. But they did stop short and like

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Speaker 1: that's what happened to the two thousand election that I

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Speaker 1: hadn't really remembered, is that like the Republicans were arguing

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Speaker 1: to stop the recounting, so just like stop counting these

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Speaker 1: votes that they like that the machine couldn't make sense of.

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Speaker 1: It's like that's that's I didn't want to count vote.

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Speaker 1: That's like a horse horse race gambling at ex dream

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Speaker 1: is like if they're like the order of the races

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Speaker 1: as they want it, maybe with like a like in

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Speaker 1: the home stretching like race right there. I don't care

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Speaker 1: who's coming up the back. Nope, I don't need that

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Speaker 1: because my exact that I got right right. Um, Yeah,

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Speaker 1: they flipped. They flipped like half a dozen races this week. Yeah,

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Speaker 1: you know from the projected winner. Yeah. I just feel

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Speaker 1: like in the history, you know, it's like half people

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Speaker 1: who got like that, it was probably wrong. Could you

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Speaker 1: imagine I can't imagine George Washington. No, no way, that asshole.

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Speaker 1: It was definitely his opponent. Um, yeah, yeah, the I

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Speaker 1: think it was. You know, back in George Washington's day,

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Speaker 1: and uh, some of the first presidential elections, they used

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Speaker 1: to have like voting parties where like they would have

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Speaker 1: open bars at the ballot box and that's how you

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Speaker 1: would get people to come and like you would only

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Speaker 1: vote at like the Democratic place or the Republic and

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Speaker 1: whoever had the more like lit party was the place

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Speaker 1: where you would go to vote, and that's how they

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Speaker 1: got people to vote. But then like the Tammany Hall

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Speaker 1: a days, you would just have people like beating the

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Speaker 1: ship out of here, like dress up, vote for Boss Tammy,

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Speaker 1: welcome to Tammany Hall. At least those votes work out,

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Speaker 1: even at least the eighteen guys that were allowed to vote,

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Speaker 1: we're able to cast their back and the other ones

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Speaker 1: they got a free drink as promised. Yeah, I got

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Speaker 1: some alert that was like the unknown Republican rock star

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Speaker 1: lawyer who headed up like the recount in Florida. And

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Speaker 1: I was just like, I started reading and I was like,

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Speaker 1: I just don't hate myself this much to read about

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Speaker 1: a Republican lawyer who won the election for them. But

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Speaker 1: it's some young woman who won it for the Republicans.

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Speaker 1: Congratulations to you. Well, if only they could have had

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Speaker 1: her in every state they got a wall of him.

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Speaker 1: There's only one of them. Uh. And finally, what's a myth?

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Speaker 1: What's something people think is true? You know, to be fault? Okay,

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Speaker 1: here we go. This kind of has something to do

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Speaker 1: with my stuffing plank um. But this is what a

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Speaker 1: lot of people don't and I only found out recently

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Speaker 1: and it was very exciting to me, and it's made

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Speaker 1: my life taste here. Okay, pork can be pink. You

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Speaker 1: do not have to cook pork to white. I thought

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Speaker 1: you're talking about something about pork in a can. Okay,

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Speaker 1: pork y p yes. Yes, Previously they said you had

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Speaker 1: to cook pork to sixty degrees, which means that it

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Speaker 1: would turn white. But recently, seven years ago, but I

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Speaker 1: white supremacist cooking white white pork until it's white. No,

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Speaker 1: this is like, this is going to ruin them their

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Speaker 1: favorite white pinko communists chickens for everyone, but pork's just

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Speaker 1: for the boys. That slogan is um. But no, it

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Speaker 1: can be pink and uh and tastier. And it's changed

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Speaker 1: the way I've been living my life. And um, honestly,

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Speaker 1: I maybe eating the poor too pink because I don't

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Speaker 1: have a thermometer. But I just look a little. I

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Speaker 1: say it's pink, must be ready, and then I ripped

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Speaker 1: my fingers into it. Then tell me that about chicken,

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Speaker 1: that it has to be white, and I'm just like

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Speaker 1: that did little pinky? Wait? You talking about even cooking it? Alright? Nine?

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Speaker 1: Have you seen that? You have a chicken tartar? Pictures

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Speaker 1: of it? I still don't think it's real. There's chicken

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Speaker 1: sushimi you can eat? I mean I don't, Okay, I mean,

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Speaker 1: I mean I was in the three weeks it do

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Speaker 1: they really have? Yeah, there's chicken sushimis for certain Yeah,

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Speaker 1: for certain kind of chicken you can't eat. What kind

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Speaker 1: of chicken? Chicken that was recently burned in a fire. No,

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Speaker 1: it's like some kind I don't have chicken. I think

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Speaker 1: it's so fresh that let me actually look because I

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Speaker 1: don't want to. Uh no, no, no no, it's a there's

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Speaker 1: a few people that do it. I don't know. It's

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Speaker 1: just uh, they'll see her. It's a little bit on

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Speaker 1: outside chicken. Alright, Well I was joking, but apparently real

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Speaker 1: cooks know what the deal is. I mean, I don't

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Speaker 1: think it's for everybody. I can't get over looking at

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Speaker 1: raw chicken anything. And that's raw chicken. Yeah, not like fish.

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Speaker 1: You know, I can get done with it. All right,

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Speaker 1: Let's get into what's going on today. And uh, A

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Speaker 1: story that just jumped to the top of my page

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Speaker 1: on social media is this Instagram mom who what's an

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Speaker 1: Instagram mom? She? I guess she's a mommy blogger who

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Speaker 1: has an Instagram presence that is like part of her brand.

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Speaker 1: And I just want to read this post that she

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Speaker 1: put up because it's her son's birthday and she wanted

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Speaker 1: to worsh him a happy birthday. The first page is

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Speaker 1: just a normal thankful for Weston today. My Weston was

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Speaker 1: just the best baby, cuddly blah blah blah, you know,

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Speaker 1: the normal birthday wishes. What a great hugger he is.

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Speaker 1: Then she says next paragraph, Guys, I'm gonna be perfectly honest.

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Speaker 1: Instagram never liked my munchkin, and it killed me inside.

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Speaker 1: His photos never got as many lights, never got comments.

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Speaker 1: From a statistical point of view, he wasn't as popular

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Speaker 1: with everyone out there. Maybe part of that was the

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Speaker 1: pictures just never hit the algorithm right. Part might be

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Speaker 1: because he was the quote baby for a very short

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Speaker 1: amount of time. LJ came along and then I guess

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Speaker 1: he's the oldest and people like babies. I say all

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Speaker 1: that because I want to believe that it wasn't him,

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Speaker 1: that it was on me, my insufficiency caused the statistical deficit,

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Speaker 1: because obviously my munchkin should get all the love, and

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Speaker 1: squinty eyes are totally adorable. She she just said that

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Speaker 1: he has squinty eyes in like a back anyway, So

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Speaker 1: can we do this right? Because I truly know that

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Speaker 1: my munch deserves all the likes, whether or not a

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Speaker 1: stranger gives it to them, And on his sixth birthday,

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Speaker 1: I am thankful that I know that that no matter

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Speaker 1: what other people think of me, or my kids, or

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Speaker 1: my marriage or my house, blah blah, blah that they

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Speaker 1: are one thousand times better in real life than any

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Speaker 1: tiny little picture could hold. So she kind of steered

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Speaker 1: it a little bit. I've never met someone so secure

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Speaker 1: in herself. Oh wait, what about this PostScript? Ps? I

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Speaker 1: wanted to clarify that I revealed this feeling because I

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Speaker 1: know that one day he will see the numbers and

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Speaker 1: have to learn that his value is not in online approval.

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Speaker 1: This is a hard lesson for anyone to learn, and

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Speaker 1: I'm thankful I have learned it. No, you have not yet.

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Speaker 1: Leave this alone. Yo. I hope you all can be

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Speaker 1: understanding and not take things out of context or believe

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Speaker 1: that this is in any way affects how I see

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Speaker 1: or treat my children. All comments and well wishes I

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Speaker 1: read to the birthday boy, all comments, So that's a threat, Like,

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Speaker 1: don't write negative comments because all comments and well wishes

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Speaker 1: I read to the birthday thing is don't make me

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Speaker 1: shatter this boy's confidence. This part this guy looks like

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Speaker 1: an Irish trucker face is not symmetrical. This part about

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Speaker 1: like how she's like and part of me really wants

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Speaker 1: to believe that it wasn't him. Is like that that

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Speaker 1: makes it seem like, but that we all know the truth.

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Speaker 1: It is him. He's a defective exactly, and she's clearly

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Speaker 1: operating in a world where she's there's a correlation between

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Speaker 1: likes and the kid's worth, which is why it's eating

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Speaker 1: her up. If she didn't give a fuck, there would

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Speaker 1: be no post. But the fact that you're pointing this

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Speaker 1: out means she probably talked with the father. It's like,

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Speaker 1: I don't know, like Weston, just he doesn't score very well?

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Speaker 1: Is it his hairstyle? Should we dress him in more?

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Speaker 1: Like like supremes, he's not getting nearly as many legs

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Speaker 1: as the Double Tree and the Marriott are other And

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Speaker 1: she clearly has decided that his problem is his squinty eyes,

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Speaker 1: because she's my insufficiency caused the statistical death that because

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Speaker 1: obviously my month should get all the love and squinty

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Speaker 1: eyes are totally adorable and like talking about her like

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Speaker 1: fanciful things right on this that like, oh, you know,

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Speaker 1: I want to believe that people will excuse his squinty,

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Speaker 1: little stupid eyes. Can you read the comments from Child

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Speaker 1: Protective Service? She really, I'm man like it's gonna be

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Speaker 1: worse for her son to read this and anything retrospectively

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Speaker 1: than like to like what in her mind where she

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Speaker 1: thinks he's so obsessed with his likes on her Instagram page, Like, mom,

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Speaker 1: what happened? Also, he's six, he could read this now

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Speaker 1: well that yeah, And the problem is now this post

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Speaker 1: will probably I don't know, it's yeah, it's getting somewhat viral,

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Speaker 1: like if it comes back to school, like, hey, dude,

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Speaker 1: what's what's what's up? Was your mom? Whatever? Hey, what's up? Bro?

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Speaker 1: Come on into the six year old locker room talking

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Speaker 1: about this about eyes squints? Get over here, Yeah, that's

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Speaker 1: your name now. And then we also just wanted to

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Speaker 1: put on everybody's radar something that's actually bubbling a little

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Speaker 1: bit below the zeit guys right now, but McDonald's is

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Speaker 1: testing cheesy bacon fries. Why don't they say they're not? Okay?

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Speaker 1: The full story is if you live in Hawaii or

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Speaker 1: Modesto or Stockton, California, the Golden Triumph as we called

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00:20:22,200 --> 00:20:26,760
Speaker 1: it there right now, the McDonald's, they're served like loaded

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Speaker 1: cheesy bacon fries. Now, if you look at these ships,

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00:20:29,800 --> 00:20:33,320
Speaker 1: they don't look that good. They look like just paint

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Speaker 1: and bacon bits from a salad bar on top of

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Speaker 1: McDonald's fries. But to be fair, that that's not picture

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Speaker 1: from McDonald's. If it was no donald, it would that's

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Speaker 1: how their food looks. So when the McDonald I'll show

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Speaker 1: you just take a regular picture with your iPhone of

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Speaker 1: McDonald's food. That's how McDonald's one is so nice. It's

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Speaker 1: on like our tease and it's like on like butcher

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00:20:50,200 --> 00:20:54,760
Speaker 1: paper with like a nice pile and the bacon looks real. Now, Okay,

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00:20:54,800 --> 00:20:57,919
Speaker 1: so they're saying that this is not a test, but

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Speaker 1: there was like some dude who was like has his

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Speaker 1: finger on the pulse of McDonald's is like, well, Modesto

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Speaker 1: and Stockton have been used as test markets for like

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Speaker 1: larger national rollouts before, So I don't buy it one bit.

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Speaker 1: Will we see cheesy fries in nine maybe? But McDonald's,

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Speaker 1: you know, they have like they do do regional things

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Speaker 1: like this, like in New England, like people get the

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Speaker 1: lobster rolls sometimes and mc rib isn't always across the country.

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Speaker 1: They had Gilroy garlic fries a couple of years ago

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Speaker 1: in northern California, So yes, there it could just be

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Speaker 1: a reasonal thing. But if you want to put on

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Speaker 1: your X files hat and you can say, well, Modesto

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Speaker 1: and Stockton have been used in the past for testing,

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Speaker 1: then maybe it is coming. But I don't know. They

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Speaker 1: look like shitty animal fries to me. I'm not really

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Speaker 1: I don't know. I'll eat it, though, I'm gonna try.

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Speaker 1: I'm eating it right now. The bacon just looks like

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Speaker 1: it's just straight up salad bar bacon, just yeah, bacon bits, yeah,

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Speaker 1: as opposed to the applewoods smoked right. Yeah. Yeah. The

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Speaker 1: other thing too, is like the can't travel with like

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Speaker 1: loaded fries, like even animal fries, Like I gotta eat

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Speaker 1: those ships as quickly as possible from in and out,

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Speaker 1: like you know what I mean, because the cheese starts

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Speaker 1: to harden up and then it just it's not a

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Speaker 1: you know, I don't know. Maybe they figured out to

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Speaker 1: get them in handfuls and I like to wear LATEX

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00:22:16,240 --> 00:22:18,320
Speaker 1: gloves when you do or those. Yes, yeah, but they

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Speaker 1: don't use preservatives. That's just they just put a potato

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Speaker 1: in there, in and out right right right, they just

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Speaker 1: chomped that. So McDonald's, you know, everything's got preserved. You

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Speaker 1: could a year later, a year later just as hard somehow, Uh, yeah.

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Speaker 1: I mean I think it just depends on how successful

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Speaker 1: the product launch is, right, like, whether it goes national.

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00:22:40,720 --> 00:22:43,159
Speaker 1: Like they they're like, no, it was just regional. But

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Speaker 1: that's probably because it didn't test that well and people

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00:22:46,200 --> 00:22:48,399
Speaker 1: maybe it could be. But I think I don't know.

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Speaker 1: I mean, I don't think McDonald lets regions freelance very much, right, No, no,

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Speaker 1: I give it a shot. No. No. I think they're like, hey, like,

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Speaker 1: you know, we we ordained this thing that you can

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Speaker 1: sell here, right, so they have that cheese saw see

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Speaker 1: there anything else? I think there's cheese, anything else, because

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00:23:03,720 --> 00:23:06,399
Speaker 1: just slices of American cheese. The second you could make

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Speaker 1: it yourself. But the second they approved this, they will

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Speaker 1: become the biggest buyer of cheese sauce in the world. Yeah,

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Speaker 1: I'm sure Big Cheese is pushing hard for this, laughing

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00:23:17,280 --> 00:23:19,439
Speaker 1: hard for this. Probably not Big Cheese, because there's no

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Speaker 1: cheese in those cheese sauces. Alright, Big oil and water

396
00:23:24,840 --> 00:23:29,080
Speaker 1: and and pigs are just fucking terrified. All right, we're

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Speaker 1: gonna take a quick break. We'll be right back, and

398
00:23:41,080 --> 00:23:44,680
Speaker 1: we're back and uh, we're gonna actually get an old

399
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Speaker 1: friend of mine on the phone We're gonna call him

400
00:23:47,440 --> 00:23:53,240
Speaker 1: up right now. How's that? What's up? Man? We're going

401
00:23:53,400 --> 00:23:59,760
Speaker 1: you got Jack? Oh that's great? And Miles, what's going on?

402
00:24:00,000 --> 00:24:02,040
Speaker 1: I was, are you doing good? Man? Are you? Are

403
00:24:02,040 --> 00:24:06,760
Speaker 1: you like nine ft tall? Yes? It's a giant see

404
00:24:06,880 --> 00:24:09,119
Speaker 1: his fucking hand. I looked at Nick the second I

405
00:24:09,160 --> 00:24:13,960
Speaker 1: heard your voice. I was like, what the hey, Jack,

406
00:24:15,240 --> 00:24:18,520
Speaker 1: let's not funk around and get the business here. Uh.

407
00:24:20,720 --> 00:24:23,120
Speaker 1: And uh we also have Nick, who is a stand

408
00:24:23,200 --> 00:24:29,680
Speaker 1: up comedian. Hey Nick? Uh? Sorry everyone all right? Jose

409
00:24:29,960 --> 00:24:32,760
Speaker 1: Ortiz Jr. A K J M A K the Juice

410
00:24:33,000 --> 00:24:35,800
Speaker 1: a K wait? Did you say? Your name? Is O

411
00:24:36,080 --> 00:24:41,560
Speaker 1: J which is at the Kentucky Derby. He is also

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Speaker 1: the executive director of the New York City Employment and

413
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Speaker 1: Training Coalition and was my roommate for uh, you know,

414
00:24:49,440 --> 00:24:52,960
Speaker 1: five of my worst years. Uh, not not like bad

415
00:24:53,280 --> 00:24:55,800
Speaker 1: in terms of not enjoying them, but just not in

416
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Speaker 1: my best shape. You had to do a lot of work.

417
00:24:58,320 --> 00:25:03,320
Speaker 1: But Jose, have you in here too? Uh talk to

418
00:25:03,440 --> 00:25:08,480
Speaker 1: us about the news, specifically Amazon coming to Long Island City.

419
00:25:09,160 --> 00:25:13,400
Speaker 1: You've been rejoicing I know for weeks, Um, but yeah,

420
00:25:13,400 --> 00:25:15,360
Speaker 1: you've been You've been talking to You're in the Wall

421
00:25:15,400 --> 00:25:18,480
Speaker 1: Street Journal in a couple other places talking about like

422
00:25:18,680 --> 00:25:20,760
Speaker 1: kind of the different ways that this can go for

423
00:25:20,840 --> 00:25:23,600
Speaker 1: New York City and the fact that this isn't just

424
00:25:23,640 --> 00:25:28,320
Speaker 1: a straightforward great thing, and then snl over the Weekend

425
00:25:28,359 --> 00:25:33,000
Speaker 1: made a joke basically saying, anybody who complains about Long

426
00:25:33,040 --> 00:25:37,360
Speaker 1: Island City getting the HQ two is a whiny bitch.

427
00:25:37,680 --> 00:25:40,760
Speaker 1: So Colin just called you a whiny bitch? Do you

428
00:25:40,800 --> 00:25:45,720
Speaker 1: care to respond? I can validate that I am no.

429
00:25:45,880 --> 00:25:50,440
Speaker 1: I think I think generally seeking. Uh yeah, the noise

430
00:25:50,480 --> 00:25:55,159
Speaker 1: about Amazon is coming from actually real places. These are

431
00:25:55,200 --> 00:25:58,960
Speaker 1: people who live in a community that overall has been

432
00:25:59,760 --> 00:26:03,560
Speaker 1: a pretty marginalized for forever, and you know, in recent

433
00:26:03,640 --> 00:26:06,399
Speaker 1: years it's coming to a place where now, you know,

434
00:26:06,520 --> 00:26:08,800
Speaker 1: because of space and being a water from property here

435
00:26:08,800 --> 00:26:10,920
Speaker 1: in New York City, there is a kind of renewed

436
00:26:10,960 --> 00:26:13,280
Speaker 1: interest in using it as a way they would attract

437
00:26:13,640 --> 00:26:16,560
Speaker 1: you know, bigger businesses, which is all exciting and it's

438
00:26:16,560 --> 00:26:18,560
Speaker 1: not necessarily a bad thing for the city. But I think,

439
00:26:18,680 --> 00:26:20,359
Speaker 1: you know, from my state and the role that I

440
00:26:20,400 --> 00:26:23,320
Speaker 1: play here in the city as really being an advocate

441
00:26:23,320 --> 00:26:27,600
Speaker 1: on behalf of anyone who is out of the mainstream,

442
00:26:27,720 --> 00:26:31,199
Speaker 1: you know, the average New Yorker, people of color, immigrants, women,

443
00:26:31,600 --> 00:26:35,360
Speaker 1: those without college degrees that are black, access to two

444
00:26:35,400 --> 00:26:38,399
Speaker 1: jobs and job training for those individuals that live in

445
00:26:38,400 --> 00:26:41,120
Speaker 1: the community, this can be a little bit scary and

446
00:26:41,280 --> 00:26:44,399
Speaker 1: uh and so you know where we you know, I

447
00:26:44,440 --> 00:26:47,119
Speaker 1: think here at the coalition, and we're not necessarily anti

448
00:26:47,240 --> 00:26:50,600
Speaker 1: Amazon moving into the space, but we are definitely uh

449
00:26:50,720 --> 00:26:53,680
Speaker 1: pro making sure that individuals that reside in the community

450
00:26:53,680 --> 00:26:58,199
Speaker 1: have opportunities to receive proper job trading and also be

451
00:26:58,560 --> 00:27:00,960
Speaker 1: uh included in the full of people that might be

452
00:27:01,000 --> 00:27:03,840
Speaker 1: considered for jobs at a company like Amazon. And when

453
00:27:03,920 --> 00:27:06,840
Speaker 1: you hear things like a hundred and fifty dollar average

454
00:27:06,880 --> 00:27:10,440
Speaker 1: annual income, that doesn't speak to the average person here

455
00:27:10,440 --> 00:27:14,000
Speaker 1: in the city, and and and makes this concerned. Right, So,

456
00:27:14,080 --> 00:27:18,199
Speaker 1: I mean, does Amazon have a track record of you know,

457
00:27:18,320 --> 00:27:23,800
Speaker 1: employing people of different socioeconomic backgrounds or what have you

458
00:27:23,840 --> 00:27:26,680
Speaker 1: guys done a research into sort of what what their

459
00:27:26,760 --> 00:27:30,000
Speaker 1: track records like in Seattle and other places. I mean,

460
00:27:30,080 --> 00:27:33,960
Speaker 1: their track record unfortunately in Seattle and other places has not. Uh,

461
00:27:34,480 --> 00:27:37,720
Speaker 1: it's not anything to you know, get excited about. I think,

462
00:27:38,160 --> 00:27:40,080
Speaker 1: you know, which is part of the reason why you know,

463
00:27:40,240 --> 00:27:43,000
Speaker 1: our our focus is you know, been hyper focus on

464
00:27:43,080 --> 00:27:46,480
Speaker 1: really ensuring that that as they start to really build

465
00:27:46,480 --> 00:27:48,080
Speaker 1: out this plan for the because you know, you know,

466
00:27:48,160 --> 00:27:50,840
Speaker 1: remember this is just they've just chosen the location. Now

467
00:27:50,840 --> 00:27:53,200
Speaker 1: it's really up to us, in the average New Yorker

468
00:27:53,280 --> 00:27:57,000
Speaker 1: in the city to really ensure that they that they

469
00:27:57,359 --> 00:28:00,560
Speaker 1: really follow through what they've promised. And I think they're

470
00:28:00,600 --> 00:28:02,880
Speaker 1: coming to the city is really in an effort to say, hey,

471
00:28:02,960 --> 00:28:05,480
Speaker 1: we want to come to you know, the most diverse

472
00:28:05,520 --> 00:28:08,320
Speaker 1: place in the world. Queens is literally the most diverse

473
00:28:08,600 --> 00:28:12,360
Speaker 1: county in America and the most diverse place in the world. So,

474
00:28:12,440 --> 00:28:15,119
Speaker 1: you know, how do we ensure that Amazon becomes a

475
00:28:15,160 --> 00:28:17,159
Speaker 1: reflection of the community here in New York City and

476
00:28:17,160 --> 00:28:19,960
Speaker 1: in Queens. Uh and uh And so no, they haven't

477
00:28:19,960 --> 00:28:22,480
Speaker 1: had that track record. We're not saying that they're not.

478
00:28:22,600 --> 00:28:25,080
Speaker 1: You know, I believe that if we get our people

479
00:28:25,119 --> 00:28:27,200
Speaker 1: together and we mobilize the fact that we can get

480
00:28:27,200 --> 00:28:28,959
Speaker 1: them to that place. But it's not going to come

481
00:28:29,000 --> 00:28:32,760
Speaker 1: without intense pressure and really you know, strong collaboration. Yeah,

482
00:28:33,000 --> 00:28:35,600
Speaker 1: we want to get more Queens in Amazon and not

483
00:28:36,000 --> 00:28:42,640
Speaker 1: just have Amazon steamroll Queens into office complex or whatever.

484
00:28:42,840 --> 00:28:44,720
Speaker 1: That's right, And you know, and the truth, you know,

485
00:28:44,800 --> 00:28:47,360
Speaker 1: the other you know, this is not Amazon, is just

486
00:28:47,400 --> 00:28:50,280
Speaker 1: a larger reflection of the larger technical ecosystem. You know,

487
00:28:50,320 --> 00:28:53,160
Speaker 1: most of these businesses and companies are just not particularly diverse.

488
00:28:53,240 --> 00:28:56,360
Speaker 1: There has been an increased interests in diversity and equity

489
00:28:56,480 --> 00:28:59,520
Speaker 1: and inclusion initiatives over the years, and that's in part

490
00:28:59,560 --> 00:29:02,400
Speaker 1: because they have been so terrible at it. But you know,

491
00:29:02,480 --> 00:29:05,200
Speaker 1: we see that we really do want the city to

492
00:29:05,320 --> 00:29:10,440
Speaker 1: become an ecosystem that you know rivals you know, the

493
00:29:10,480 --> 00:29:12,640
Speaker 1: West Coast and San Francisco in terms of the tech

494
00:29:12,680 --> 00:29:14,640
Speaker 1: eco system there. But it doesn't in a way that

495
00:29:14,680 --> 00:29:16,840
Speaker 1: it's thoughtful and it includes the people that live and

496
00:29:16,920 --> 00:29:20,120
Speaker 1: reside in the city. Um and and doesn't. And we've

497
00:29:20,160 --> 00:29:22,320
Speaker 1: seen you know how badly and poorly this can't go

498
00:29:22,360 --> 00:29:25,160
Speaker 1: in terms of not including when you you know, uh,

499
00:29:25,440 --> 00:29:27,600
Speaker 1: you know, add new businesses and invite new businesses and

500
00:29:27,640 --> 00:29:30,520
Speaker 1: economic development is not aligned to communities that exist in

501
00:29:30,520 --> 00:29:32,240
Speaker 1: the area. We've seen how vally that can go for

502
00:29:32,280 --> 00:29:35,920
Speaker 1: a community like San Francisco. You mean, that's exactly right,

503
00:29:35,960 --> 00:29:39,280
Speaker 1: you know where you're now you know, creating taxes, uh

504
00:29:39,320 --> 00:29:43,640
Speaker 1: to you know, either incentivized hiring or to ensure that

505
00:29:43,680 --> 00:29:46,520
Speaker 1: you know, certain populations are protected and and you know,

506
00:29:46,840 --> 00:29:49,200
Speaker 1: we could be very well be that ten years, forteen

507
00:29:49,240 --> 00:29:51,880
Speaker 1: years from now, and we need to be very proactive

508
00:29:51,920 --> 00:29:55,360
Speaker 1: when we think about how to develop a community. Oh J,

509
00:29:55,560 --> 00:29:59,239
Speaker 1: I have a question, um, what is sort of like

510
00:29:59,360 --> 00:30:02,280
Speaker 1: ideally right? Knowing that, I think most people who are

511
00:30:02,360 --> 00:30:05,040
Speaker 1: sort of pay attention to the rise of Amazon have

512
00:30:05,120 --> 00:30:07,440
Speaker 1: seen that, Yeah, they're not not not quite ideal work

513
00:30:07,480 --> 00:30:12,040
Speaker 1: situations or uh, integrating into cities that they operate in. Like,

514
00:30:12,080 --> 00:30:13,920
Speaker 1: what are sort of things like if you you know,

515
00:30:13,960 --> 00:30:16,280
Speaker 1: if you had Bezos's ear, what are the kinds of

516
00:30:16,360 --> 00:30:19,120
Speaker 1: things that you know are most urgent in terms of

517
00:30:19,120 --> 00:30:22,800
Speaker 1: how you view Amazon coming to Long Island City, that

518
00:30:22,800 --> 00:30:24,960
Speaker 1: that Amazon should be doing. I mean obviously these are

519
00:30:25,000 --> 00:30:27,400
Speaker 1: like in an ideal world. What are the kinds of

520
00:30:27,440 --> 00:30:30,120
Speaker 1: things that Amazon could be doing to be more responsible

521
00:30:30,160 --> 00:30:33,520
Speaker 1: as you know, a new neighbor in the city. Yeah,

522
00:30:33,600 --> 00:30:35,280
Speaker 1: I mean, I think you know, one of the things

523
00:30:35,360 --> 00:30:40,200
Speaker 1: is really too to focus on hiring people from not

524
00:30:40,240 --> 00:30:43,440
Speaker 1: just specific and community, but working with organizations that provide

525
00:30:43,520 --> 00:30:46,720
Speaker 1: job training for specific types of jobs at the company.

526
00:30:46,800 --> 00:30:49,560
Speaker 1: So you know, even the biggest tech companies in the

527
00:30:49,600 --> 00:30:52,840
Speaker 1: world are not entirely tech focused right there. Their staff,

528
00:30:52,920 --> 00:30:56,080
Speaker 1: their employees are a wide variety of different skill sets

529
00:30:56,080 --> 00:30:58,560
Speaker 1: in a lit of different spaces. So and part of

530
00:30:58,600 --> 00:31:01,120
Speaker 1: the coalition my organization, what we have, there's a hundred

531
00:31:01,120 --> 00:31:04,280
Speaker 1: and fifty members which our organizations throughout the city and

532
00:31:04,320 --> 00:31:08,400
Speaker 1: throughout Queens that provide very specific skill training, uh, to

533
00:31:08,480 --> 00:31:12,000
Speaker 1: get people into jobs. So, you know, Amazon is a

534
00:31:12,120 --> 00:31:14,719
Speaker 1: retail company. It's not just the tech Company's a retail company,

535
00:31:14,720 --> 00:31:18,200
Speaker 1: it's a food and beverage distribution, it's it's lots of

536
00:31:18,240 --> 00:31:21,080
Speaker 1: different things. So how do we get people that have

537
00:31:21,640 --> 00:31:26,000
Speaker 1: experience in those individual spaces employed into those those jobs

538
00:31:26,000 --> 00:31:27,960
Speaker 1: at Amazon? And how do we get you to work

539
00:31:28,000 --> 00:31:30,760
Speaker 1: with these specific organizations that are gonna train people to

540
00:31:30,800 --> 00:31:33,080
Speaker 1: be the best possible talent in each one of those areas.

541
00:31:33,280 --> 00:31:35,160
Speaker 1: So I would ask him to just keep an open

542
00:31:35,160 --> 00:31:38,160
Speaker 1: mind to assume that you know, the pipeline for for

543
00:31:38,240 --> 00:31:41,520
Speaker 1: individuals coming into your workforce is not just coming from

544
00:31:41,800 --> 00:31:44,160
Speaker 1: you know, the most elite universities in the world, where

545
00:31:44,200 --> 00:31:46,960
Speaker 1: the most universities even in New York City, but that

546
00:31:47,080 --> 00:31:50,200
Speaker 1: people in talent exist everywhere. Um, So that would be

547
00:31:50,200 --> 00:31:54,240
Speaker 1: the starting point. Yeah, I agree that Amazon is the

548
00:31:54,280 --> 00:31:56,880
Speaker 1: big enough company it's almost its own nation, Like it

549
00:31:57,160 --> 00:31:59,560
Speaker 1: probably has all sorts of different jobs. But I feel,

550
00:31:59,560 --> 00:32:03,120
Speaker 1: like Baysa says, primarily in the making grown men cry

551
00:32:03,160 --> 00:32:07,320
Speaker 1: business and like everybody who works for Amazon says, it's

552
00:32:07,360 --> 00:32:11,080
Speaker 1: just like this hellscape where like everybody's just like terrified

553
00:32:11,160 --> 00:32:14,719
Speaker 1: for their job. And I don't know, like it seems

554
00:32:14,720 --> 00:32:18,960
Speaker 1: like the way they dominated by making everybody work incredibly

555
00:32:19,520 --> 00:32:24,520
Speaker 1: difficult hours to just you know, shave every margin until

556
00:32:24,640 --> 00:32:28,560
Speaker 1: you can get your package of type HUDs or yeah,

557
00:32:28,600 --> 00:32:32,040
Speaker 1: men's men's butt wife. I mean fear. I mean in

558
00:32:32,160 --> 00:32:33,719
Speaker 1: terms of like, for instance, you know, I was at

559
00:32:34,160 --> 00:32:37,400
Speaker 1: a Queen's fame of a commerce event on Friday and

560
00:32:38,280 --> 00:32:41,840
Speaker 1: they have all the majority of businesses in there and

561
00:32:42,000 --> 00:32:45,360
Speaker 1: starting queens are and the majority meaning anyone for some

562
00:32:45,440 --> 00:32:48,400
Speaker 1: of those businesses or small businesses, so they are also

563
00:32:48,640 --> 00:32:51,520
Speaker 1: you know, pretty afraid. It's not just individuals, but they're

564
00:32:51,560 --> 00:32:54,920
Speaker 1: also businesses that are you know, genuinely concerned about a

565
00:32:55,040 --> 00:32:59,720
Speaker 1: large entity like Amazon that has, you know, to some

566
00:32:59,800 --> 00:33:02,800
Speaker 1: of the read not been the best player or friend

567
00:33:02,840 --> 00:33:06,680
Speaker 1: of the small business sector. Uh moving into space. Plus

568
00:33:06,680 --> 00:33:08,400
Speaker 1: you know, you have an organization that is now going

569
00:33:08,480 --> 00:33:13,160
Speaker 1: to be looking for somewhere between five and new employees

570
00:33:13,280 --> 00:33:17,240
Speaker 1: and one physical location. Uh So, you know it's gonna

571
00:33:17,240 --> 00:33:19,800
Speaker 1: suck up talent, you know, all throughout the city. So

572
00:33:19,840 --> 00:33:22,840
Speaker 1: we really have to be very hyper focused, very intentional

573
00:33:22,880 --> 00:33:25,320
Speaker 1: on how to get more people into the workforce and

574
00:33:25,360 --> 00:33:28,640
Speaker 1: not just important talent into the city. All Right, man, well,

575
00:33:29,000 --> 00:33:31,200
Speaker 1: I know you have to go meet with the mayor

576
00:33:31,320 --> 00:33:35,840
Speaker 1: or deputy mayor or whatever. And I told you what

577
00:33:35,840 --> 00:33:38,480
Speaker 1: what to tell him? You just make you sound like

578
00:33:38,480 --> 00:33:42,800
Speaker 1: a jerk. Uh yeah, I know you're big time man.

579
00:33:42,880 --> 00:33:47,360
Speaker 1: That's cool. Remember that we used to be friends. But

580
00:33:47,440 --> 00:33:49,960
Speaker 1: well hey he was gracious enough to bless him bless

581
00:33:50,000 --> 00:33:52,400
Speaker 1: us with his presence on this second rate podcast. So

582
00:33:52,520 --> 00:33:57,880
Speaker 1: all right, Jose, thanks, you guys appreciated. Alright, that was

583
00:33:58,560 --> 00:34:01,840
Speaker 1: Jose Ortiz Jr. Uh really thought he was O J.

584
00:34:02,160 --> 00:34:05,680
Speaker 1: They heard his name Jose as O J. Yeah exactly.

585
00:34:06,000 --> 00:34:09,400
Speaker 1: It was. It was that the Kentucky Derby. So it

586
00:34:09,560 --> 00:34:13,000
Speaker 1: sounds there was a lot of noise, everybody was very drunk.

587
00:34:13,160 --> 00:34:15,480
Speaker 1: And also I think she had never met a person

588
00:34:15,520 --> 00:34:18,160
Speaker 1: of color before, okay, and so her only frame of

589
00:34:18,200 --> 00:34:23,200
Speaker 1: reference was O J. Yeah exactly. So uh so he

590
00:34:23,360 --> 00:34:28,239
Speaker 1: is free. It could be somewhere. Um, so let's just

591
00:34:28,320 --> 00:34:33,720
Speaker 1: talk real quick about h Q two in Long Island City.

592
00:34:33,719 --> 00:34:37,680
Speaker 1: Long Island City is uh, I've lived there, Nick, you're

593
00:34:37,680 --> 00:34:40,840
Speaker 1: saying you've lived there before. I only lived there for

594
00:34:40,960 --> 00:34:42,879
Speaker 1: a year. But in the year that I lived there,

595
00:34:43,239 --> 00:34:46,600
Speaker 1: the city, like I saw huge changes, Like buildings went

596
00:34:46,719 --> 00:34:48,239
Speaker 1: up in the year that I lived there. It was

597
00:34:48,320 --> 00:34:52,160
Speaker 1: like crazy how much it was just turning into a

598
00:34:52,200 --> 00:34:56,600
Speaker 1: condominium opolis from what used to be like a lot

599
00:34:56,640 --> 00:35:00,200
Speaker 1: of warehouses and ship dog parks. Yeah. I live there

600
00:35:00,200 --> 00:35:03,080
Speaker 1: for five years up until last year. And um, I

601
00:35:03,160 --> 00:35:06,560
Speaker 1: also had a couple of friends that moved there. Like

602
00:35:06,640 --> 00:35:09,120
Speaker 1: when people started to move there, like fifteen years ago,

603
00:35:09,600 --> 00:35:12,640
Speaker 1: when the first high rise went up, that first avalon,

604
00:35:12,719 --> 00:35:15,440
Speaker 1: they were like giving out three months free rent for

605
00:35:15,520 --> 00:35:17,480
Speaker 1: people to go in there because there was no one there.

606
00:35:17,880 --> 00:35:21,680
Speaker 1: Um and uh, I can say this Long Island City

607
00:35:21,719 --> 00:35:25,000
Speaker 1: was never a neighborhood, you know, it was just warehouses

608
00:35:25,040 --> 00:35:27,600
Speaker 1: and like they left and there was an open there

609
00:35:27,680 --> 00:35:29,360
Speaker 1: was you know, and it was it just happened to

610
00:35:29,400 --> 00:35:31,720
Speaker 1: be so close to the city. It's one local stop

611
00:35:31,760 --> 00:35:35,080
Speaker 1: to Grand Central Station and one local stop to Brooklyn.

612
00:35:35,120 --> 00:35:37,799
Speaker 1: It's just it's in the middle of everything, And I'm

613
00:35:37,920 --> 00:35:42,080
Speaker 1: so happy Amazon is moving there, because when I say

614
00:35:42,120 --> 00:35:45,080
Speaker 1: that I lived in Long Island City, people think I

615
00:35:45,120 --> 00:35:47,560
Speaker 1: live in I lived in Long Island, and then I

616
00:35:47,600 --> 00:35:49,919
Speaker 1: have to explain, no, it's a great place to live.

617
00:35:50,239 --> 00:35:51,760
Speaker 1: But now I don't have to do all that bullshit.

618
00:35:51,880 --> 00:35:54,719
Speaker 1: I can say Amazon, I lived in the penthouse at

619
00:35:54,719 --> 00:36:01,239
Speaker 1: Amazon HQ. You're like, wow, yea for so let me

620
00:36:01,280 --> 00:36:05,799
Speaker 1: read the exact text of the Colin Jost joke. So

621
00:36:05,920 --> 00:36:09,200
Speaker 1: he started out calling people who are complaining about getting

622
00:36:09,200 --> 00:36:13,120
Speaker 1: the HQ whiny bitches because jobs. Uh. And they said,

623
00:36:13,160 --> 00:36:16,680
Speaker 1: it's like complaining about winning the lottery. Uh. All the

624
00:36:16,719 --> 00:36:19,160
Speaker 1: cities who lost out must be like, shut up, you

625
00:36:19,239 --> 00:36:22,200
Speaker 1: whiney bitch. New York basically won the lottery and more like,

626
00:36:22,640 --> 00:36:25,799
Speaker 1: but the subways might be slightly more crowded. Meanwhile, people

627
00:36:25,800 --> 00:36:29,200
Speaker 1: in West Virginia are like, well, back to the mines. Yeah,

628
00:36:29,239 --> 00:36:31,520
Speaker 1: I know it's going to raise housing prices, but it's

629
00:36:31,560 --> 00:36:33,919
Speaker 1: a little late for New Yorkers to complain about rent.

630
00:36:34,080 --> 00:36:36,880
Speaker 1: I mean, even Amazon had to move to Queen's because

631
00:36:36,880 --> 00:36:42,560
Speaker 1: it couldn't afford to live in Manhattan. Tight, yeah, tight,

632
00:36:42,880 --> 00:36:45,760
Speaker 1: Colin Jost, Man of the people, Yeah, you know, because

633
00:36:45,760 --> 00:36:48,279
Speaker 1: he came up very rough as a child. He was

634
00:36:48,320 --> 00:36:50,280
Speaker 1: living on the streets. He's the son of a doctor

635
00:36:50,320 --> 00:36:52,920
Speaker 1: and an engineer, went private school on the Upper East

636
00:36:52,960 --> 00:36:55,200
Speaker 1: Side of Manhattan, went to Harvard, and was hired out

637
00:36:55,200 --> 00:36:58,960
Speaker 1: of Harvard at S and L immediately, so he's been around.

638
00:36:59,120 --> 00:37:01,320
Speaker 1: Oh yeah, I mean what life is like on this

639
00:37:01,440 --> 00:37:05,000
Speaker 1: does ash on his face from chimney sweeping? What the fun?

640
00:37:05,480 --> 00:37:08,000
Speaker 1: I don't know. That's such a disconnected take on all

641
00:37:08,040 --> 00:37:10,440
Speaker 1: of this, Like does he not read any other news

642
00:37:10,440 --> 00:37:13,400
Speaker 1: about what, like what Amazon in a city does to

643
00:37:13,840 --> 00:37:16,760
Speaker 1: like the local community or anything. Is he just purely

644
00:37:16,760 --> 00:37:19,879
Speaker 1: looking at his like, hey man, Amazon another cool thing

645
00:37:19,960 --> 00:37:22,360
Speaker 1: that will probably be great, and I'm sure it'll it'll

646
00:37:22,400 --> 00:37:25,080
Speaker 1: bring some some kind of develment. But it's a very

647
00:37:25,160 --> 00:37:30,120
Speaker 1: complicated puzzle piece. I think he should have explained much

648
00:37:30,239 --> 00:37:33,040
Speaker 1: fur gone way more into depth about, you know, the

649
00:37:33,080 --> 00:37:36,440
Speaker 1: nuances of this, and maybe a twenty to thirty minute piece.

650
00:37:37,600 --> 00:37:39,400
Speaker 1: I'm waiting enough today and I can't believe he just

651
00:37:39,440 --> 00:37:41,080
Speaker 1: decided to tell a joke and get the hell out

652
00:37:41,120 --> 00:37:44,400
Speaker 1: of there. But I do support all comedians. I wonder

653
00:37:44,440 --> 00:37:51,879
Speaker 1: if if is he still with um scar Jost? Yeah, yeah,

654
00:37:51,920 --> 00:37:55,439
Speaker 1: so he must be. Yeah, just you go and cry

655
00:37:55,440 --> 00:37:59,040
Speaker 1: about this into Scarlett Johnson's bosom. Yeah, and she's probably

656
00:37:59,120 --> 00:38:06,080
Speaker 1: that was a sick Honestly, I love it. Um. But

657
00:38:06,640 --> 00:38:09,920
Speaker 1: the reason that some people might be piste, other than

658
00:38:09,960 --> 00:38:13,160
Speaker 1: the things that jose was talking about, is that the

659
00:38:13,200 --> 00:38:16,120
Speaker 1: city and state offered Amazon at least one point five

660
00:38:16,160 --> 00:38:20,479
Speaker 1: billion dollars in tax breaks. So it's the equivalent of

661
00:38:20,600 --> 00:38:24,880
Speaker 1: every city resident venmoing three forty eight dollars to Bezos.

662
00:38:25,520 --> 00:38:28,120
Speaker 1: So it's less like winning the lottery and more like

663
00:38:28,160 --> 00:38:30,360
Speaker 1: buying a PS four and then giving it away to

664
00:38:30,400 --> 00:38:35,520
Speaker 1: a billionaire. So pro you know, a regular one exactly

665
00:38:35,560 --> 00:38:39,080
Speaker 1: came in four k up rest. And some people are

666
00:38:39,160 --> 00:38:43,480
Speaker 1: saying that it actually is going to cost more than

667
00:38:43,520 --> 00:38:46,120
Speaker 1: that over the long run. But how funny would it

668
00:38:46,120 --> 00:38:48,960
Speaker 1: be if they made they made everyone actually mail him

669
00:38:50,840 --> 00:38:57,960
Speaker 1: come on, pay up this year? You have to collectors

670
00:38:58,000 --> 00:39:00,799
Speaker 1: come around, just like I say, if you want to,

671
00:39:00,920 --> 00:39:02,799
Speaker 1: if you want to stick it to Amazon, take three

672
00:39:03,239 --> 00:39:04,919
Speaker 1: forty dollars and go to the Creek in the Cave

673
00:39:04,960 --> 00:39:07,160
Speaker 1: in Long Island City, the number one comedy venue in

674
00:39:07,200 --> 00:39:11,319
Speaker 1: New York, and spend three hundred there you go, and

675
00:39:11,360 --> 00:39:17,320
Speaker 1: then also pay him three d dollars legally jail, but

676
00:39:17,440 --> 00:39:20,560
Speaker 1: get some tacos. First. Super producer Nick Stump was saying,

677
00:39:20,719 --> 00:39:23,360
Speaker 1: I mean, isn't there the argument that it's going to

678
00:39:23,440 --> 00:39:27,080
Speaker 1: bring in a certain amount of money in tax revenue

679
00:39:27,320 --> 00:39:31,040
Speaker 1: to the city, And uh that may be true. I

680
00:39:31,120 --> 00:39:34,239
Speaker 1: think the argument I've heard is that compared to the

681
00:39:34,360 --> 00:39:38,080
Speaker 1: replacement level business that would exist in the Long Island

682
00:39:38,160 --> 00:39:42,000
Speaker 1: City area, they will not pay as many taxes as

683
00:39:42,800 --> 00:39:45,920
Speaker 1: you know, otherwise the city would be pulling in because

684
00:39:46,200 --> 00:39:48,400
Speaker 1: of all these tax breaks that they've given out. But

685
00:39:49,160 --> 00:39:52,800
Speaker 1: uh so, the benefits I think mainly go to the

686
00:39:53,880 --> 00:39:58,239
Speaker 1: highly educated people who are employed at Amazon and the

687
00:39:58,320 --> 00:40:01,759
Speaker 1: people who got Amazon to come, um, but not necessarily

688
00:40:01,920 --> 00:40:04,560
Speaker 1: to the rest of the city and the people who

689
00:40:04,719 --> 00:40:08,200
Speaker 1: benefit off of like public assistance. Yeah, well, I mean

690
00:40:08,280 --> 00:40:10,839
Speaker 1: their tax breaks. So I mean, I didn't Cuomo come

691
00:40:10,880 --> 00:40:14,480
Speaker 1: on like it's not a giveaway, right, which I'm not

692
00:40:14,600 --> 00:40:17,160
Speaker 1: sure what he meant, because I think he was arguing

693
00:40:17,239 --> 00:40:19,680
Speaker 1: over the fact that some people were characterizing it that

694
00:40:19,760 --> 00:40:21,680
Speaker 1: it was a billion dollars when it was more like

695
00:40:22,160 --> 00:40:26,320
Speaker 1: nine million. I just think I'm so bored by the

696
00:40:26,520 --> 00:40:29,759
Speaker 1: choice of Crystal City and Long Island Crystal City, by

697
00:40:29,800 --> 00:40:31,440
Speaker 1: the way, which just sounds like an old lest town.

698
00:40:31,600 --> 00:40:33,920
Speaker 1: Yeah with the with didn't have like a store in it.

699
00:40:34,239 --> 00:40:36,640
Speaker 1: It sounds like a place you drive through on cruising USA.

700
00:40:38,880 --> 00:40:40,799
Speaker 1: Oh man, the hummer if you pressed the honk hoorn button.

701
00:40:40,840 --> 00:40:42,960
Speaker 1: It required the machine gun anyway, but it's like okay.

702
00:40:43,000 --> 00:40:46,040
Speaker 1: So they did an entire nationwide search to find another

703
00:40:46,120 --> 00:40:48,319
Speaker 1: city and then then decided to set up shop at

704
00:40:48,320 --> 00:40:53,560
Speaker 1: the two biggest, most influential cities are opposite coast, Like, right, right,

705
00:40:53,680 --> 00:40:56,680
Speaker 1: you didn't do it, of course you were going there, right, Yeah. Well,

706
00:40:56,719 --> 00:40:59,680
Speaker 1: they they were saying it wasn't necessarily like they were

707
00:40:59,760 --> 00:41:03,279
Speaker 1: using the HQ title to sort of entice companies to

708
00:41:03,360 --> 00:41:05,919
Speaker 1: giving tax breaks, right and like when more or less

709
00:41:05,960 --> 00:41:08,840
Speaker 1: some people are describing this as like another branch in

710
00:41:09,040 --> 00:41:11,640
Speaker 1: office that rather than like the brain stem of the

711
00:41:11,680 --> 00:41:15,200
Speaker 1: whole thing. Yeah, they basically turned the idea of opening

712
00:41:15,440 --> 00:41:18,440
Speaker 1: a bunch of office buildings in a city into like

713
00:41:18,640 --> 00:41:22,719
Speaker 1: the Willy Wonka Golden Ticket giveaway. Like everybody was like, please, sir,

714
00:41:23,000 --> 00:41:25,759
Speaker 1: just move your headquarters here, and he's like, all right,

715
00:41:25,800 --> 00:41:28,440
Speaker 1: we're gonna split it up between two of you and

716
00:41:28,520 --> 00:41:33,480
Speaker 1: actually three they're opening like some smart offices in Nashville.

717
00:41:33,840 --> 00:41:36,040
Speaker 1: So when you look at it at that scale, it's like, oh,

718
00:41:36,160 --> 00:41:38,920
Speaker 1: so you're just opening an office here like that, like

719
00:41:39,080 --> 00:41:42,320
Speaker 1: you just we give you wild tax breaks. They're opening

720
00:41:42,480 --> 00:41:45,400
Speaker 1: smart offices in Nashville. Yeah, something like that. They call

721
00:41:47,440 --> 00:41:49,799
Speaker 1: the dumb ones are in. Yeah, so that's where we're

722
00:41:49,800 --> 00:41:54,520
Speaker 1: gonna store idiots. Uh we already got them. Yeah, don't

723
00:41:54,560 --> 00:41:57,600
Speaker 1: they calling it? What is it called Operations Center of

724
00:41:57,760 --> 00:42:05,040
Speaker 1: Excellence in Nashville, Operations Center that scientology building. Yeah right,

725
00:42:07,040 --> 00:42:09,640
Speaker 1: you know, become like the richest person in the world

726
00:42:09,760 --> 00:42:13,560
Speaker 1: and just remain normal, like you're gonna start using scientology

727
00:42:13,719 --> 00:42:16,040
Speaker 1: like lingo and yeah. Well, I mean he was the

728
00:42:16,080 --> 00:42:18,720
Speaker 1: guy that's been doing a blood bag like a body

729
00:42:19,040 --> 00:42:24,040
Speaker 1: he carries around a boy and takes his blood Peter, Oh,

730
00:42:24,200 --> 00:42:29,800
Speaker 1: was that bezos has? You know there there's rumblings that

731
00:42:30,160 --> 00:42:32,960
Speaker 1: I heard he's got a hair boy might have he's

732
00:42:32,960 --> 00:42:35,040
Speaker 1: been growing his hair back for him, damn. And then

733
00:42:35,080 --> 00:42:36,839
Speaker 1: what he's gonna put it back on? Going to put

734
00:42:36,840 --> 00:42:38,279
Speaker 1: it back on his head, scalp him and then just

735
00:42:38,360 --> 00:42:41,040
Speaker 1: be like all right, stable this ship on. I got

736
00:42:41,160 --> 00:42:42,800
Speaker 1: an invent to get to and I told him I

737
00:42:42,840 --> 00:42:45,360
Speaker 1: will have an afro. Not even going to get a doctor. No,

738
00:42:46,280 --> 00:42:47,960
Speaker 1: I'm just gonna get an intern. It's gonna be like

739
00:42:48,719 --> 00:42:52,719
Speaker 1: Tobias interested development. When he got the hair transplanted, it

740
00:42:52,840 --> 00:42:57,799
Speaker 1: was like killing him. Grad versus host is what they

741
00:42:57,880 --> 00:43:00,960
Speaker 1: call it. And no, it's not a tennisman between Stephie

742
00:43:01,000 --> 00:43:03,160
Speaker 1: Graph and Donny Hosts. So that's when you have any

743
00:43:03,200 --> 00:43:05,960
Speaker 1: sort of that was like what Jove called it. They're

744
00:43:06,000 --> 00:43:09,640
Speaker 1: throwing a benefit for Tobias because his hair transplant was

745
00:43:09,719 --> 00:43:15,480
Speaker 1: like rejecting an arrested development. We missed you a graph

746
00:43:15,600 --> 00:43:18,200
Speaker 1: versus host. All right, we're gonna take a quick break.

747
00:43:18,200 --> 00:43:31,880
Speaker 1: We'll be right back, and we're back. And the White

748
00:43:31,960 --> 00:43:36,640
Speaker 1: House Correspondence Association has decided. Uh and Nick, you might

749
00:43:36,719 --> 00:43:38,960
Speaker 1: have a take on this. They decided to bail on

750
00:43:39,200 --> 00:43:43,320
Speaker 1: comedians for next year's dinner and opt instead for the

751
00:43:43,480 --> 00:43:48,920
Speaker 1: equally entertaining history. Yes, uh so, somebody who's gonna be like, yeah, no,

752
00:43:49,120 --> 00:43:53,320
Speaker 1: this is really bad. You guys are really I'm a historian.

753
00:43:53,360 --> 00:43:54,840
Speaker 1: Let me tell you how this will go down in

754
00:43:54,880 --> 00:43:57,319
Speaker 1: the animal history. This is where we are in terms

755
00:43:57,360 --> 00:44:01,040
Speaker 1: of American imperial collapse. It's really the only profession that

756
00:44:01,280 --> 00:44:05,719
Speaker 1: is capable of putting his presidency into perspective. So it

757
00:44:05,800 --> 00:44:07,440
Speaker 1: makes sense that they would go with it. Well, you know,

758
00:44:07,520 --> 00:44:11,600
Speaker 1: Michelle Wolfe made it too hot for President sensitive pants,

759
00:44:11,760 --> 00:44:15,080
Speaker 1: and the ship fits basically made the White House Correspondence

760
00:44:15,080 --> 00:44:17,400
Speaker 1: Association cave. Like, I mean even in the response to

761
00:44:17,440 --> 00:44:21,000
Speaker 1: the immediate response to Wolf's performance, which most peoplere like, yeah,

762
00:44:21,040 --> 00:44:23,480
Speaker 1: that was great. They were slow. You could tell they

763
00:44:23,520 --> 00:44:25,440
Speaker 1: were sort of it was eating away at them. And

764
00:44:25,520 --> 00:44:27,680
Speaker 1: now they went for the guy who like literally wrote

765
00:44:27,760 --> 00:44:31,359
Speaker 1: the book on Alexander Hamilton's that Linn Manuel Miranda. He's

766
00:44:31,400 --> 00:44:35,160
Speaker 1: a great Hamilton's biographer. Uh, and so I mean, what

767
00:44:35,280 --> 00:44:37,640
Speaker 1: the fund is he going to say? I'm actually curious.

768
00:44:37,800 --> 00:44:40,200
Speaker 1: It's just going to be so they're going to avoid

769
00:44:40,280 --> 00:44:42,120
Speaker 1: any kind of country. I don't know, I don't know.

770
00:44:42,200 --> 00:44:45,120
Speaker 1: I love that. It's like this is there. Uh. Their

771
00:44:45,200 --> 00:44:48,440
Speaker 1: idea is getting the guy who wrote Hamilton's which is

772
00:44:48,480 --> 00:44:52,319
Speaker 1: where Pen's got booed, right right right right. There's nothing

773
00:44:52,400 --> 00:44:54,360
Speaker 1: you can there's no one you can talk to who's

774
00:44:54,440 --> 00:44:57,000
Speaker 1: like gonna know about stuff and be on your side,

775
00:44:57,120 --> 00:44:59,799
Speaker 1: right unless it's like Pepe the Frog, then you can

776
00:44:59,840 --> 00:45:02,960
Speaker 1: be like, yeah, well, even the guy who invented like

777
00:45:04,719 --> 00:45:08,360
Speaker 1: you guys like you got Miranda, well we got churn

778
00:45:08,440 --> 00:45:11,839
Speaker 1: out bitches. It's like, who that guy is so sad

779
00:45:11,920 --> 00:45:15,440
Speaker 1: about it, the Pepe guy who yeah, yeah, his creation

780
00:45:15,480 --> 00:45:18,719
Speaker 1: has been turned into Yeah, but I just the correspondent

781
00:45:18,719 --> 00:45:21,719
Speaker 1: center is such a bad idea forever. I mean, since

782
00:45:21,880 --> 00:45:26,400
Speaker 1: Colbert humiliated Bush. You just can't you can't do it.

783
00:45:26,480 --> 00:45:30,080
Speaker 1: I don't. I don't know why anyone goes. It baffles me.

784
00:45:30,680 --> 00:45:34,040
Speaker 1: And just to uh just the fact that like friends

785
00:45:34,080 --> 00:45:36,000
Speaker 1: of mine have gotten to go to Hollywood or go

786
00:45:36,160 --> 00:45:38,080
Speaker 1: to d C and then say that in front of

787
00:45:38,160 --> 00:45:41,239
Speaker 1: those people is uh, mind boggling. And it makes more

788
00:45:41,440 --> 00:45:43,080
Speaker 1: so much more sense that they're not going to do

789
00:45:43,160 --> 00:45:45,640
Speaker 1: it anymore then that they're going to keep doing it,

790
00:45:45,960 --> 00:45:49,879
Speaker 1: right whoever the next president is, assuming there is one

791
00:45:50,400 --> 00:45:53,239
Speaker 1: like have the balls to bring this back, it would

792
00:45:53,239 --> 00:45:55,120
Speaker 1: be like the guy it would be like on my birthday,

793
00:45:55,200 --> 00:45:58,360
Speaker 1: inviting the person who hates me the most, who is

794
00:45:58,400 --> 00:46:01,480
Speaker 1: also the smartest to just come in and get and

795
00:46:01,640 --> 00:46:04,759
Speaker 1: just yeah, well we've seen the two extremes. We've seen

796
00:46:05,080 --> 00:46:09,160
Speaker 1: now like the most hated president probably in the history

797
00:46:09,239 --> 00:46:12,960
Speaker 1: of you know, these us. When it comes when it

798
00:46:13,000 --> 00:46:16,200
Speaker 1: comes to at least the entertainment industry. And then you

799
00:46:16,520 --> 00:46:20,120
Speaker 1: had before him, like a president who people didn't want

800
00:46:20,200 --> 00:46:23,399
Speaker 1: to get up and roast because he was better than them.

801
00:46:23,480 --> 00:46:25,360
Speaker 1: He would go up and like do a tight twenty

802
00:46:26,320 --> 00:46:29,520
Speaker 1: just for rhythm. Uh So, I don't know. I think

803
00:46:29,520 --> 00:46:31,279
Speaker 1: it was like it was a wafer. I think maybe

804
00:46:31,520 --> 00:46:33,680
Speaker 1: the just stiffs in d C to feel like that

805
00:46:33,800 --> 00:46:36,040
Speaker 1: they have sensitive humor too, and like, yeah, we can

806
00:46:36,080 --> 00:46:39,080
Speaker 1: all take it. And yeah, it's clearly it's a town

807
00:46:39,200 --> 00:46:42,080
Speaker 1: that over the years has just gotten more and more

808
00:46:42,960 --> 00:46:46,040
Speaker 1: averse to hearing any kind of criticism. But yeah, I

809
00:46:46,080 --> 00:46:48,480
Speaker 1: mean I like hearing them roast people up there. I do,

810
00:46:48,840 --> 00:46:51,880
Speaker 1: this is fun. But it's fun for me. Yeah right

811
00:46:52,000 --> 00:46:56,160
Speaker 1: right my popcorn pants. Yeah, but we'll see. I mean

812
00:46:56,200 --> 00:46:58,160
Speaker 1: I think they it's weird, Like I don't I can't

813
00:46:58,200 --> 00:47:00,920
Speaker 1: really imagine an event that Trump would go to now

814
00:47:00,960 --> 00:47:04,319
Speaker 1: at this point anyway, because like I mean normally the president, yeah,

815
00:47:04,640 --> 00:47:07,160
Speaker 1: aside from a Trump rally, right, because if he's if

816
00:47:07,200 --> 00:47:10,759
Speaker 1: he goes to anything with other dignitaries, he's like he's

817
00:47:10,800 --> 00:47:12,680
Speaker 1: like the twelve year old kid who just got like

818
00:47:12,800 --> 00:47:15,320
Speaker 1: the Nintendo switch at dinner, and it's like you have

819
00:47:15,400 --> 00:47:18,839
Speaker 1: to be here, and yeah, he just he just needs

820
00:47:18,880 --> 00:47:20,919
Speaker 1: to be the focal point and if and if they're

821
00:47:20,960 --> 00:47:23,359
Speaker 1: making jokes, you know, get him the funk out of there.

822
00:47:23,400 --> 00:47:24,880
Speaker 1: He does not want to be there. Well yeah, and

823
00:47:25,000 --> 00:47:28,040
Speaker 1: this was the site of what a lot of people

824
00:47:28,120 --> 00:47:31,480
Speaker 1: believe was the turning point of his professional career when

825
00:47:31,880 --> 00:47:37,440
Speaker 1: Obama and Myers roasted him like that's he was just

826
00:47:37,560 --> 00:47:40,640
Speaker 1: sitting there, the guy who can least take a joke

827
00:47:40,840 --> 00:47:45,200
Speaker 1: in the United States getting roasted on national television. For

828
00:47:45,320 --> 00:47:47,720
Speaker 1: my fellow kids, it was like the Arthur clenched fist

829
00:47:47,840 --> 00:47:51,320
Speaker 1: me right, yeah, nice, thank you for putting it in

830
00:47:51,560 --> 00:47:56,520
Speaker 1: terms I could kids. Great, Well, well we'll see what

831
00:47:56,920 --> 00:47:59,880
Speaker 1: what type of material chur Now has for wolf Blitzer.

832
00:48:00,040 --> 00:48:02,960
Speaker 1: But do you think it's a shitty precedent to just

833
00:48:03,280 --> 00:48:07,640
Speaker 1: because they're preemptively wanting to avoid the ship fit that

834
00:48:07,719 --> 00:48:09,759
Speaker 1: the White House would throw, that they just cave and

835
00:48:09,800 --> 00:48:12,480
Speaker 1: they're just like eliminate the comedian thing. I don't know,

836
00:48:12,480 --> 00:48:15,759
Speaker 1: it just feels like just like fuck, it just keep going.

837
00:48:16,480 --> 00:48:18,200
Speaker 1: I don't understand what the point is, Like, it's not

838
00:48:18,680 --> 00:48:20,640
Speaker 1: they it's not going to fix the relationship with the

839
00:48:20,680 --> 00:48:22,759
Speaker 1: White House at all? Are they trying to get the

840
00:48:23,000 --> 00:48:25,839
Speaker 1: Trump to come, and that's why they've Oh he's I mean,

841
00:48:25,880 --> 00:48:27,719
Speaker 1: he's not. He's not gonna go even That's why it

842
00:48:27,760 --> 00:48:30,680
Speaker 1: doesn't matter, right, So I don't know what, you know,

843
00:48:30,840 --> 00:48:32,799
Speaker 1: it might as well be raining. That's how much he's

844
00:48:32,800 --> 00:48:36,960
Speaker 1: not gonna go to the indoors my hair bucket. Yeah,

845
00:48:36,960 --> 00:48:39,160
Speaker 1: I don't know, like it just it just seems like

846
00:48:39,160 --> 00:48:41,640
Speaker 1: they're caving. I don't like it, Yeah, because they should

847
00:48:42,400 --> 00:48:44,640
Speaker 1: every opportunity there needs to be more and more media

848
00:48:44,760 --> 00:48:47,800
Speaker 1: that at the very least can object or not objectively,

849
00:48:47,880 --> 00:48:50,279
Speaker 1: but look at the ship things he does and bring

850
00:48:50,360 --> 00:48:52,320
Speaker 1: it to light and be critical, like we can't just

851
00:48:52,480 --> 00:48:56,680
Speaker 1: stifle critical voices. But who knows, Old Ron the historian

852
00:48:56,760 --> 00:49:00,760
Speaker 1: might come through with some fucking scathing power point pould

853
00:49:00,800 --> 00:49:04,040
Speaker 1: also be equally amazing. Yeah, he comes out with some

854
00:49:04,200 --> 00:49:10,640
Speaker 1: inconvenient truth level zeitgeisty. Hey uh yeah, I guess I

855
00:49:10,760 --> 00:49:14,759
Speaker 1: was talking as though the White House Correspondence Association was

856
00:49:14,880 --> 00:49:17,320
Speaker 1: not booking it, that it was like the Trump administration.

857
00:49:17,520 --> 00:49:21,000
Speaker 1: But they're they're booking it with an eye towards sort

858
00:49:21,040 --> 00:49:26,759
Speaker 1: of ameliorating, like making the Trump administration happy. Right, Well, yeah,

859
00:49:26,760 --> 00:49:29,720
Speaker 1: I mean because after when she was talking about Sarah Sanders.

860
00:49:29,800 --> 00:49:31,200
Speaker 1: They had to come out and be like, you know,

861
00:49:31,320 --> 00:49:34,240
Speaker 1: they kind of kept walking it back and distancing themselves

862
00:49:34,280 --> 00:49:37,600
Speaker 1: from Michelle Wolf. So you know this is like, well

863
00:49:37,640 --> 00:49:42,160
Speaker 1: sometimes it just recorrects. Because after the Stephen Colbert one,

864
00:49:42,840 --> 00:49:46,080
Speaker 1: then they had Rich Little come out the next year,

865
00:49:46,800 --> 00:49:49,520
Speaker 1: which is if you don't know, he's just he's a

866
00:49:49,600 --> 00:49:54,479
Speaker 1: dinosaur of comedy who does impressions. I think he died

867
00:49:54,800 --> 00:49:58,040
Speaker 1: since but his impressions were like, if you're not over

868
00:49:58,080 --> 00:50:00,320
Speaker 1: a hundred and thirty, you probably don't know. It's like

869
00:50:00,360 --> 00:50:08,360
Speaker 1: a lot of nixxels, the six Shooter, Oh great, the

870
00:50:08,400 --> 00:50:10,200
Speaker 1: Man of a Thousand Voices. Well, I think they should

871
00:50:10,200 --> 00:50:14,120
Speaker 1: get him back. Yeah, yeah, it might be time. Let's

872
00:50:14,120 --> 00:50:16,879
Speaker 1: talk about Gary Hart, you guys, let's talk about Gary Heart.

873
00:50:17,440 --> 00:50:20,920
Speaker 1: So let's talk about Gary Guyettie. I don't know why

874
00:50:20,960 --> 00:50:26,920
Speaker 1: I went into Colin what's his name? Jo? No, Colin

875
00:50:27,040 --> 00:50:30,440
Speaker 1: the other Colin Quinn voice there. So I wanted to

876
00:50:30,480 --> 00:50:33,000
Speaker 1: talk about Gary Hart because he's kind of making a

877
00:50:33,080 --> 00:50:37,800
Speaker 1: come back into the zeitgeist because Jason Raitman has a

878
00:50:37,840 --> 00:50:41,560
Speaker 1: new movie coming out that's about, uh, this scandal that

879
00:50:42,040 --> 00:50:46,400
Speaker 1: sort of derailed his bid to get elected president. He

880
00:50:46,840 --> 00:50:49,920
Speaker 1: was the very early days. But they also make the

881
00:50:50,320 --> 00:50:53,840
Speaker 1: claim in the book the movies based on that this

882
00:50:54,120 --> 00:50:58,520
Speaker 1: was the turning point at which like they started turning

883
00:50:58,640 --> 00:51:05,400
Speaker 1: politics into this TMZ sort of gossip type. Yeah, exactly.

884
00:51:05,960 --> 00:51:08,759
Speaker 1: And prior to this, it was like you could, you

885
00:51:08,840 --> 00:51:11,759
Speaker 1: could have your affairs with the media there right next

886
00:51:11,800 --> 00:51:16,640
Speaker 1: to you, and just you know, JFK would tell journalist

887
00:51:17,160 --> 00:51:19,560
Speaker 1: I need to have three women a day or else

888
00:51:19,640 --> 00:51:22,920
Speaker 1: I get a migraine, and the journalists like Jack Jackie,

889
00:51:23,320 --> 00:51:28,680
Speaker 1: that's just Jack B and Jack. So Gary Hart basically

890
00:51:28,800 --> 00:51:31,719
Speaker 1: got caught in a having an affair. He was like

891
00:51:31,880 --> 00:51:36,520
Speaker 1: at the townhouse of some young woman and was like

892
00:51:37,520 --> 00:51:40,480
Speaker 1: basically trapped into an alleyway as he was walking out

893
00:51:40,560 --> 00:51:43,560
Speaker 1: by a bunch of reporters and it was just this

894
00:51:43,920 --> 00:51:48,279
Speaker 1: extreme awkward moment. But this article that just came out

895
00:51:48,320 --> 00:51:51,360
Speaker 1: in the Atlantic makes the claim that this was actually

896
00:51:52,080 --> 00:51:57,040
Speaker 1: organized by this guy Lee Atwater. He was a Republican operative.

897
00:51:57,680 --> 00:52:00,840
Speaker 1: He was the guy behind the Willie Horton d that

898
00:52:00,960 --> 00:52:05,760
Speaker 1: got George H. W. Bush elected president. Was widely considered

899
00:52:05,800 --> 00:52:09,720
Speaker 1: the most racist political lad up until three weeks exactly.

900
00:52:10,120 --> 00:52:13,160
Speaker 1: But he was just this you know, he was sort

901
00:52:13,200 --> 00:52:17,399
Speaker 1: of the Carl Rove before Carl Rove. But he died

902
00:52:17,440 --> 00:52:20,080
Speaker 1: of brain cancer about a year and a half after

903
00:52:20,360 --> 00:52:23,160
Speaker 1: all of this happened, and in his last days he

904
00:52:23,239 --> 00:52:27,520
Speaker 1: basically called up the Democrat version of him, minus the

905
00:52:27,640 --> 00:52:31,480
Speaker 1: racism and malice, just democratic operative and told him he

906
00:52:31,560 --> 00:52:35,480
Speaker 1: had engineered the entire Gary Hart thing down to making

907
00:52:35,560 --> 00:52:38,600
Speaker 1: sure that like the way that his relationship to this

908
00:52:38,719 --> 00:52:41,680
Speaker 1: woman first came on people's radar was that he was

909
00:52:41,800 --> 00:52:44,160
Speaker 1: on a boat trip with her on a boat called

910
00:52:44,360 --> 00:52:48,200
Speaker 1: monkey Business and lee atwater, like knew that would be

911
00:52:48,280 --> 00:52:51,040
Speaker 1: a good name for a scandal boat, and so he

912
00:52:51,200 --> 00:52:53,560
Speaker 1: like got the boat they were originally supposed to be on,

913
00:52:54,120 --> 00:52:57,360
Speaker 1: like taken away for like maintenance, so they would be

914
00:52:57,480 --> 00:53:00,279
Speaker 1: on this monkey Business so that like monkey Business would

915
00:53:00,280 --> 00:53:04,800
Speaker 1: be like so he purposefully manipulated the availability of that

916
00:53:05,000 --> 00:53:07,160
Speaker 1: he would be on a boat called monkey Business when

917
00:53:07,160 --> 00:53:10,960
Speaker 1: they were monkeying around exactly and just all sorts of

918
00:53:11,040 --> 00:53:13,680
Speaker 1: other ships. So he told this operative and then sucked

919
00:53:13,719 --> 00:53:18,000
Speaker 1: up and died. Uh, and the operative never told Gary Hart,

920
00:53:18,120 --> 00:53:20,120
Speaker 1: like that's what his articles about he's like, and it

921
00:53:20,200 --> 00:53:22,560
Speaker 1: really hasn't come out and like become part of the

922
00:53:22,640 --> 00:53:25,880
Speaker 1: story because he never told Gary Hart until like he

923
00:53:25,920 --> 00:53:27,719
Speaker 1: had a conversation with Gary Hart and he was like,

924
00:53:28,280 --> 00:53:31,120
Speaker 1: you know, one thing that's always like stuck in my

925
00:53:31,280 --> 00:53:35,000
Speaker 1: mind is it really felt like a setup. Like when

926
00:53:35,400 --> 00:53:39,040
Speaker 1: the picture that was taken of me and the young

927
00:53:39,120 --> 00:53:42,320
Speaker 1: woman Rice I believe her last name was, she was

928
00:53:42,440 --> 00:53:45,040
Speaker 1: standing across the room from me, and then she like

929
00:53:45,120 --> 00:53:47,759
Speaker 1: made eye contact with this woman she was with and

930
00:53:47,840 --> 00:53:49,960
Speaker 1: the woman like nodded at her. She walked over, sat

931
00:53:50,040 --> 00:53:51,919
Speaker 1: on my lap, and then the woman came up, took

932
00:53:51,920 --> 00:53:54,480
Speaker 1: a picture and walked away, and that picture was on

933
00:53:54,560 --> 00:53:58,799
Speaker 1: the cover of you guessed it, The National Enquiry. Yeah,

934
00:53:58,880 --> 00:54:02,200
Speaker 1: they're behind everything, turns out. But the reason this is

935
00:54:02,280 --> 00:54:06,399
Speaker 1: significant is because he was seen as as the movie

936
00:54:06,520 --> 00:54:09,279
Speaker 1: is called the front Runner, and he was seen as

937
00:54:09,680 --> 00:54:13,120
Speaker 1: the guy who was going to win the next presidency.

938
00:54:13,200 --> 00:54:16,719
Speaker 1: George H. W. Bush was seen as both a just

939
00:54:16,920 --> 00:54:21,560
Speaker 1: weaker version of Reagan and also as just a bitch

940
00:54:21,800 --> 00:54:24,800
Speaker 1: for lack of better word, like people they know, they like,

941
00:54:24,960 --> 00:54:30,279
Speaker 1: that's how they rated him. That That's why they had yeah, uh,

942
00:54:30,640 --> 00:54:33,960
Speaker 1: that's why they like did all this military activity. Is

943
00:54:34,040 --> 00:54:36,400
Speaker 1: because he was seen as like quote wimpy by the

944
00:54:36,480 --> 00:54:40,200
Speaker 1: American public. And so he like went to war in

945
00:54:40,320 --> 00:54:44,080
Speaker 1: Panama for a day just to like flex his military muscles.

946
00:54:44,120 --> 00:54:46,640
Speaker 1: And eventually people think that had something to do with

947
00:54:47,440 --> 00:54:51,280
Speaker 1: the original Operation Desert Storm. And this guy Gary Hart

948
00:54:51,840 --> 00:54:55,600
Speaker 1: was a security expert and to the point that after

949
00:54:55,800 --> 00:54:58,239
Speaker 1: all the scandal derailed his career and he was just

950
00:54:58,400 --> 00:55:02,400
Speaker 1: like kind of in the background of politics. He sent this.

951
00:55:03,120 --> 00:55:05,479
Speaker 1: You might have heard about this report that was given

952
00:55:05,560 --> 00:55:07,800
Speaker 1: to George W. Bush when he was coming into the

953
00:55:08,000 --> 00:55:11,520
Speaker 1: White House. It was basically, a terror attack is imminent.

954
00:55:11,840 --> 00:55:15,080
Speaker 1: You guys need to like prepare for a terror attack

955
00:55:15,160 --> 00:55:19,560
Speaker 1: on US soil. Like for w right before, right before

956
00:55:19,680 --> 00:55:21,600
Speaker 1: nine eleven happened, he was like, this needs to be

957
00:55:21,800 --> 00:55:25,600
Speaker 1: your top priority. And w just completely ignored it. But

958
00:55:26,080 --> 00:55:29,120
Speaker 1: he was just known like that's why people thought he

959
00:55:29,280 --> 00:55:33,279
Speaker 1: was a shoe in was he was like really respected

960
00:55:33,520 --> 00:55:36,759
Speaker 1: as an expert on security during the Cold War, which

961
00:55:36,840 --> 00:55:39,839
Speaker 1: was like the number going up against H. W who

962
00:55:39,960 --> 00:55:42,279
Speaker 1: was the c I A exactly. They were like, well,

963
00:55:42,360 --> 00:55:44,839
Speaker 1: he clearly wins in security against the guy who used

964
00:55:44,840 --> 00:55:48,000
Speaker 1: to run the CIA and was Reagan's vice president. But

965
00:55:48,200 --> 00:55:50,800
Speaker 1: this scandal basically derailed him and changed the course of

966
00:55:50,920 --> 00:55:54,520
Speaker 1: history because if you know heart beats Bush and has

967
00:55:54,640 --> 00:55:58,640
Speaker 1: one or two administrations. There's no guarantee that you have

968
00:55:58,719 --> 00:56:01,320
Speaker 1: a Clinton. There's no guarant to you have a You

969
00:56:01,480 --> 00:56:04,560
Speaker 1: almost definitely don't have a W because W like his

970
00:56:04,880 --> 00:56:10,320
Speaker 1: whole political career took off when during his father's presidential campaign,

971
00:56:10,440 --> 00:56:15,360
Speaker 1: like basically helping him win the eight eight campaign against Dukakis.

972
00:56:15,960 --> 00:56:18,480
Speaker 1: And this is also similar. This reminded me of the

973
00:56:19,120 --> 00:56:22,600
Speaker 1: story that came out during the I mean, I guess

974
00:56:22,640 --> 00:56:24,440
Speaker 1: it was well known, but it came to my attention

975
00:56:24,600 --> 00:56:29,120
Speaker 1: during slow burn about the Watergate scandal in Nixon's impeachment

976
00:56:29,239 --> 00:56:34,080
Speaker 1: because Nixon during the election that ended up being a

977
00:56:34,160 --> 00:56:37,239
Speaker 1: landslide that he cheated in. One of the other ways

978
00:56:37,320 --> 00:56:40,239
Speaker 1: that he cheated was there's this guy Edmund Muskie who

979
00:56:40,440 --> 00:56:43,320
Speaker 1: he was really scared of running against, and he just

980
00:56:43,480 --> 00:56:46,960
Speaker 1: like harassed him and like he had his operatives like

981
00:56:47,560 --> 00:56:49,440
Speaker 1: call them at all hours a night. They would like

982
00:56:49,680 --> 00:56:52,800
Speaker 1: call people acting as though they were from the Muskie

983
00:56:52,840 --> 00:56:55,560
Speaker 1: campaign and like say things and like a really like

984
00:56:56,120 --> 00:56:59,080
Speaker 1: insulting black scent, but be like we're coming for you.

985
00:56:59,400 --> 00:57:02,759
Speaker 1: Like where the Sky campaign in New Hampshire, and that's

986
00:57:02,760 --> 00:57:05,520
Speaker 1: where Muskie was from. And he ended up having this

987
00:57:05,840 --> 00:57:08,839
Speaker 1: press conference where he like head tears in his eyes

988
00:57:08,880 --> 00:57:11,359
Speaker 1: and people are like, well, we can't elect this guy.

989
00:57:11,480 --> 00:57:13,920
Speaker 1: We can't have a man who has emotions. Yeah. So

990
00:57:14,520 --> 00:57:19,160
Speaker 1: Nixon basically also changed the course of democratic politics with

991
00:57:19,280 --> 00:57:23,120
Speaker 1: like this cheap, behind the scenes conspiracy that actually happened.

992
00:57:23,680 --> 00:57:27,440
Speaker 1: And the same thing probably happened with Gary Hart. So

993
00:57:28,280 --> 00:57:31,840
Speaker 1: these these Republicans, they don't put anything past on there,

994
00:57:31,920 --> 00:57:34,880
Speaker 1: would you know, Clarence Thomas, they're good at their job. Yeah,

995
00:57:34,920 --> 00:57:37,080
Speaker 1: there would be no David suer I think it was

996
00:57:37,160 --> 00:57:41,520
Speaker 1: other hw Supreme Court justice. Yeah, well that was depressing.

997
00:57:41,760 --> 00:57:44,920
Speaker 1: Yeah yeah, So what are your thoughts on history is

998
00:57:45,000 --> 00:57:50,360
Speaker 1: being written bycy and big Clarence Thomas. I'm just sad

999
00:57:50,400 --> 00:57:53,080
Speaker 1: that we lost him so young. Um, but I'm glad

1000
00:57:53,120 --> 00:57:56,720
Speaker 1: that we have Roger Stone, yeah, to live on and

1001
00:57:56,800 --> 00:57:59,200
Speaker 1: Paul Paul Manafort. Wren't they didn't they have I just

1002
00:57:59,280 --> 00:58:03,120
Speaker 1: watched that own documentary. But they had a company like

1003
00:58:03,360 --> 00:58:07,760
Speaker 1: with Atwater and Manafort and Roger Stone, um and just

1004
00:58:07,920 --> 00:58:12,120
Speaker 1: those bullshit artists. Wheah, they invented lobbying as we know it. Yeah, Uh,

1005
00:58:12,440 --> 00:58:17,560
Speaker 1: incredible And uh I don't know why, I no, I

1006
00:58:17,600 --> 00:58:20,000
Speaker 1: don't know. I mean, it's insane that these people get

1007
00:58:20,120 --> 00:58:23,960
Speaker 1: to uh continue doing this. Yeah, yeah, we celebrate it.

1008
00:58:25,000 --> 00:58:28,760
Speaker 1: I was just thinking about Ducacus how he lost, because

1009
00:58:28,800 --> 00:58:31,960
Speaker 1: like he was doing good and then they he u

1010
00:58:32,120 --> 00:58:34,000
Speaker 1: he did a photo up in the tank wearing a

1011
00:58:34,120 --> 00:58:37,240
Speaker 1: big helmet and then he looked like a little boy

1012
00:58:37,520 --> 00:58:40,680
Speaker 1: and then then he was toasted. And that's just that's

1013
00:58:40,720 --> 00:58:46,800
Speaker 1: how easy things Remember how easy things were there. It's

1014
00:58:46,840 --> 00:58:49,760
Speaker 1: always the Democrats who get derailed by ship like that. Yeah,

1015
00:58:49,920 --> 00:58:53,600
Speaker 1: that's why I think. Yeah, like Ducacus wearing a helmet

1016
00:58:53,640 --> 00:58:57,120
Speaker 1: that makes him look like a little boy carry going windsurfing.

1017
00:58:58,080 --> 00:59:02,920
Speaker 1: Howard Dean before him going yeah, but it sounded crazier

1018
00:59:03,000 --> 00:59:05,840
Speaker 1: because he was in allowed room and they had him

1019
00:59:05,920 --> 00:59:09,000
Speaker 1: exclusively Mike, do no matter how it's that, it's just yeah,

1020
00:59:09,240 --> 00:59:11,800
Speaker 1: whatever he said. You know, he was getting pumped up

1021
00:59:11,840 --> 00:59:15,160
Speaker 1: on the path to the White House. We're watching about

1022
00:59:15,160 --> 00:59:20,240
Speaker 1: the White House, and that is a drop. We wouldn't

1023
00:59:20,280 --> 00:59:23,160
Speaker 1: want to president with the sensibilities of a w W

1024
00:59:23,360 --> 00:59:26,480
Speaker 1: E wrestler. See that's what I'm saying. And look where

1025
00:59:26,480 --> 00:59:29,480
Speaker 1: we are. History is a tricky thing, isn't it. But

1026
00:59:29,600 --> 00:59:33,600
Speaker 1: I think, uh, you know, they say history bends towards justice,

1027
00:59:33,640 --> 00:59:37,040
Speaker 1: but I think American history bends towards fucking you know,

1028
00:59:37,320 --> 00:59:40,360
Speaker 1: the Republicans and their shitty point of view. What do

1029
00:59:40,400 --> 00:59:43,920
Speaker 1: you think about Avanadi? Do you believe him that it's

1030
00:59:43,920 --> 00:59:46,480
Speaker 1: a Jacob wol takedown. I don't know. I could. I

1031
00:59:46,520 --> 00:59:48,880
Speaker 1: could believe that it was. I could also We said

1032
00:59:48,920 --> 00:59:51,040
Speaker 1: this last week when we were talking about the stories,

1033
00:59:51,080 --> 00:59:52,720
Speaker 1: like I could also see him being a total piece

1034
00:59:52,760 --> 00:59:54,720
Speaker 1: of ship. Yeah, yeah, I just like if he was

1035
00:59:54,760 --> 00:59:57,320
Speaker 1: a total piece of ship, like, why haven't they figured

1036
00:59:57,360 --> 00:59:59,600
Speaker 1: that out? But now that's the thing, right, you think

1037
00:59:59,640 --> 01:00:03,160
Speaker 1: this he started making, it would have been like, oh, yeah,

1038
01:00:03,240 --> 01:00:05,200
Speaker 1: well we know about you, Michael Avanati, which is why

1039
01:00:05,920 --> 01:00:09,080
Speaker 1: I don't has there been any updates. It's so surprising

1040
01:00:10,000 --> 01:00:13,080
Speaker 1: that there has been no update. That's the thing. I'm

1041
01:00:13,120 --> 01:00:15,680
Speaker 1: like obsessed with it because he immediately came out and

1042
01:00:15,720 --> 01:00:18,680
Speaker 1: it was like that Will tried to muller me and

1043
01:00:19,360 --> 01:00:21,680
Speaker 1: no one's talking about who do we think would have

1044
01:00:22,040 --> 01:00:24,960
Speaker 1: like exposed him if he was a ship head? Because

1045
01:00:25,440 --> 01:00:28,600
Speaker 1: the impression I get from all of the people who

1046
01:00:29,240 --> 01:00:32,560
Speaker 1: want to protect the presidents that they're not that competent. Yeah,

1047
01:00:32,600 --> 01:00:35,520
Speaker 1: but there's there are plenty of oppo research firms that

1048
01:00:35,600 --> 01:00:37,760
Speaker 1: could dig that up. There plenty of people who are

1049
01:00:37,920 --> 01:00:41,520
Speaker 1: more competent. They have a whole mechanism for trying to

1050
01:00:41,640 --> 01:00:44,520
Speaker 1: find ship. I mean also, like the Stormy Daniels thing

1051
01:00:44,640 --> 01:00:48,200
Speaker 1: is like the thing that's like taking him down from

1052
01:00:48,440 --> 01:00:51,480
Speaker 1: these payments, and so I think all hands are on

1053
01:00:51,600 --> 01:00:54,560
Speaker 1: deck in terms of taking down Evanati. Yeah, he's definitely

1054
01:00:54,840 --> 01:00:58,320
Speaker 1: if he is involved in violence towards women, he's definitely

1055
01:00:58,440 --> 01:01:01,880
Speaker 1: leading with his chin like walking out into public. Yeah.

1056
01:01:02,080 --> 01:01:04,800
Speaker 1: But at Water brought in the era era of not

1057
01:01:05,040 --> 01:01:12,560
Speaker 1: believing anything anyone does ever. Yeah, yeah, I was watching this.

1058
01:01:12,720 --> 01:01:15,680
Speaker 1: There's a really good three video series The New York

1059
01:01:15,760 --> 01:01:20,080
Speaker 1: Times made about Russian propaganda's history in the United States

1060
01:01:20,200 --> 01:01:25,640
Speaker 1: and how they started the government inventing the AIDS virus

1061
01:01:25,840 --> 01:01:29,920
Speaker 1: and all sorts of rumors and conspiracy theories just to

1062
01:01:30,120 --> 01:01:32,560
Speaker 1: sort of destabilize And they were saying that's the entire

1063
01:01:33,200 --> 01:01:38,960
Speaker 1: purpose of Russian propaganda, and like KGB, like of their

1064
01:01:39,000 --> 01:01:42,160
Speaker 1: budget and time was spent just making it so that

1065
01:01:42,320 --> 01:01:46,360
Speaker 1: we couldn't really that we wouldn't believe things that it was.

1066
01:01:46,440 --> 01:01:49,760
Speaker 1: It was just like, you know, it introduced that seed

1067
01:01:49,800 --> 01:01:54,440
Speaker 1: of doubt. The Trump just today was saying about the CIA,

1068
01:01:54,640 --> 01:02:00,880
Speaker 1: concluding that um was ordered by MBS. Well never whatever

1069
01:02:01,080 --> 01:02:03,960
Speaker 1: for sure, and then he's like, I don't listen to

1070
01:02:04,040 --> 01:02:09,000
Speaker 1: the tape. It's it's a tape of tape, tape of suffering. Yeah, yes,

1071
01:02:09,080 --> 01:02:10,440
Speaker 1: we have to listen to it so you can get

1072
01:02:10,520 --> 01:02:14,200
Speaker 1: with reality. But hey, bar your head in the same man, right, Nick,

1073
01:02:14,560 --> 01:02:17,400
Speaker 1: It's been a pleasure having me, Yes, yes, it's been

1074
01:02:17,400 --> 01:02:20,120
Speaker 1: a pleasure here. Thank you, Nick Turner, it's been a

1075
01:02:20,160 --> 01:02:24,040
Speaker 1: pleasure having you. Where can people find you on social media? Um?

1076
01:02:24,480 --> 01:02:29,160
Speaker 1: You can find me on you know, the Twitter. I've

1077
01:02:29,200 --> 01:02:34,360
Speaker 1: heard of that, Knicks Turner's Instagram the same, Um, you can.

1078
01:02:34,800 --> 01:02:36,920
Speaker 1: You can check out my album on Comedy Central Records,

1079
01:02:37,000 --> 01:02:39,840
Speaker 1: yelling do you want to get nuts? And you're on

1080
01:02:39,880 --> 01:02:44,200
Speaker 1: an episode of Couples Therapy recently. I understand, Yes, yes,

1081
01:02:44,520 --> 01:02:50,480
Speaker 1: with my my work husband Nick vaderat too Many Nicks

1082
01:02:50,520 --> 01:02:54,960
Speaker 1: a night, have too many Nicks? Uh, And it's hilarious

1083
01:02:55,320 --> 01:02:57,440
Speaker 1: and people should check that out. And is there a

1084
01:02:57,520 --> 01:03:02,040
Speaker 1: tweet you've been enjoying? Um, yeah, I just looked at

1085
01:03:02,320 --> 01:03:06,080
Speaker 1: my Twitter likes. Um, you know I always forget that

1086
01:03:06,160 --> 01:03:07,960
Speaker 1: there's that's a column or you can just look at

1087
01:03:08,000 --> 01:03:12,160
Speaker 1: other things that you liked. And I've liked three tweets

1088
01:03:12,320 --> 01:03:15,880
Speaker 1: in the past month. I am stingy with the likes.

1089
01:03:16,880 --> 01:03:19,000
Speaker 1: But I I have a don't do it, which I

1090
01:03:19,040 --> 01:03:21,560
Speaker 1: don't know if you're familiar with this meme, I don't

1091
01:03:21,600 --> 01:03:24,640
Speaker 1: do it. I don't do it. Yeah, it's like me

1092
01:03:24,880 --> 01:03:27,560
Speaker 1: thinking something and then thinking don't do it, without like

1093
01:03:27,640 --> 01:03:28,800
Speaker 1: don't do it, don't do it, don't do it, and

1094
01:03:28,880 --> 01:03:33,520
Speaker 1: then doing it anyway. I didn't know that until just now. Um,

1095
01:03:33,720 --> 01:03:36,600
Speaker 1: but this is what I liked. Um. This is Dan Lecatta,

1096
01:03:36,800 --> 01:03:41,320
Speaker 1: who is incredible. Check him out at Dan Lecotta sucks me,

1097
01:03:42,080 --> 01:03:45,760
Speaker 1: pulls out my wiener to piss my brain. Don't do it,

1098
01:03:45,880 --> 01:03:47,640
Speaker 1: don't do it. Don't do it, don't do it, don't

1099
01:03:47,640 --> 01:03:49,600
Speaker 1: do it, don't do it. Don't do it. And nothing's

1100
01:03:49,600 --> 01:03:52,080
Speaker 1: funnier than reading a tweet, right, don't do it, don't

1101
01:03:52,160 --> 01:03:55,760
Speaker 1: do it, don't do it. Then me attempts to suck

1102
01:03:55,840 --> 01:03:58,680
Speaker 1: my own dick while peeing, getting piste all over my face,

1103
01:04:00,040 --> 01:04:10,160
Speaker 1: him coughing, chuck on my ear. Uh D, look get

1104
01:04:10,200 --> 01:04:14,840
Speaker 1: that bone removed. Miles. Where can people find you? You

1105
01:04:14,960 --> 01:04:18,520
Speaker 1: can find me on Twitter, and yes, you can find

1106
01:04:18,560 --> 01:04:25,480
Speaker 1: me on Twitter and Instagram at Oh, that was Steve

1107
01:04:25,640 --> 01:04:29,120
Speaker 1: Carrell saying my name on SNL or my Twitter handle.

1108
01:04:29,560 --> 01:04:31,520
Speaker 1: And that's also my tweet that I like a few

1109
01:04:31,520 --> 01:04:33,760
Speaker 1: people tweeting me, but one of them disappeared. But that

1110
01:04:33,880 --> 01:04:36,720
Speaker 1: one I just played is from Eric at Eric in absentia.

1111
01:04:37,160 --> 01:04:39,560
Speaker 1: I guess somehow there was a sequence of words where

1112
01:04:39,600 --> 01:04:41,760
Speaker 1: Steve Carrell said miles of Gray, so that you can

1113
01:04:41,800 --> 01:04:45,000
Speaker 1: find me at miles great Twitter, Instagram. That was my tweet. Boom,

1114
01:04:45,120 --> 01:04:48,320
Speaker 1: that's crazy man, huge shoutout, huge shout out for me.

1115
01:04:48,360 --> 01:04:51,320
Speaker 1: Really big moment for me, you know, but proud of you.

1116
01:04:51,560 --> 01:04:55,080
Speaker 1: Everyone in my family didn't give a shit, so and

1117
01:04:55,160 --> 01:04:56,800
Speaker 1: they were like, what is the Twitter and what is

1118
01:04:56,800 --> 01:05:00,520
Speaker 1: a handle? So whatever, I'm gonna keeper. I just do

1119
01:05:00,600 --> 01:05:04,080
Speaker 1: my thing Overshire And a tweet I've been enjoying is

1120
01:05:04,160 --> 01:05:06,800
Speaker 1: from pick lated boat. He said, oh yeah, I forgot

1121
01:05:06,800 --> 01:05:09,960
Speaker 1: about that episode and linked off to an image. There

1122
01:05:10,040 --> 01:05:13,480
Speaker 1: was this story going around about how Tim Allen likes

1123
01:05:13,520 --> 01:05:16,600
Speaker 1: pissing people off and he pick laid a boat as

1124
01:05:16,680 --> 01:05:20,400
Speaker 1: he does. Alter that headline, uh to say, Tim Allen,

1125
01:05:20,520 --> 01:05:23,480
Speaker 1: I like pissing people off, and nothing pissed people off.

1126
01:05:23,560 --> 01:05:27,000
Speaker 1: More than the episode of Home Improvement where Tim Toolman Taylor,

1127
01:05:27,440 --> 01:05:31,760
Speaker 1: following the example of the early Christian philosopher Origin, castrated

1128
01:05:31,840 --> 01:05:34,280
Speaker 1: himself with a hedge trimmer to purge himself of the

1129
01:05:34,400 --> 01:05:40,760
Speaker 1: sin of lust. Uh. You know, I like pissing people off.

1130
01:05:41,040 --> 01:05:44,680
Speaker 1: Is like the worst thing you can think. I like

1131
01:05:45,160 --> 01:05:48,040
Speaker 1: the worst person you can be. Yeah, that's your motivation.

1132
01:05:48,280 --> 01:05:51,880
Speaker 1: Two rude. That gives me control in a world where

1133
01:05:51,920 --> 01:05:55,240
Speaker 1: I otherwise have no control. I'm done trying to make

1134
01:05:55,280 --> 01:05:59,080
Speaker 1: people laugh. Right. You can follow me on Twitter at

1135
01:05:59,120 --> 01:06:02,040
Speaker 1: Jack underscorel Ryan. You can follow us on Twitter at

1136
01:06:02,160 --> 01:06:05,200
Speaker 1: Daily Zeitgeist. We're at the Daily Zeitgeist on Instagram. We

1137
01:06:05,280 --> 01:06:07,560
Speaker 1: have a Facebook fan page on a website, daily ze

1138
01:06:07,640 --> 01:06:10,120
Speaker 1: geist dot com. We post our episodes in our foot note.

1139
01:06:10,680 --> 01:06:12,479
Speaker 1: We link off to the information that we talked about

1140
01:06:12,480 --> 01:06:14,680
Speaker 1: in today's episode, as well as the song we write

1141
01:06:14,760 --> 01:06:17,320
Speaker 1: out on. You can also find that information in the

1142
01:06:17,400 --> 01:06:20,480
Speaker 1: show notes. Are miles, what song are we going to

1143
01:06:20,520 --> 01:06:22,960
Speaker 1: write out on today? Let's do a new song from

1144
01:06:23,120 --> 01:06:25,800
Speaker 1: you know Little Dragon, whose music I've played here before.

1145
01:06:26,080 --> 01:06:28,080
Speaker 1: They have a new EP out, but this is a

1146
01:06:28,200 --> 01:06:31,120
Speaker 1: track off their new EP lover Chanting, and it's called

1147
01:06:31,440 --> 01:06:34,480
Speaker 1: Love or chanting once you know it, So enjoy this

1148
01:06:34,880 --> 01:06:38,640
Speaker 1: little track from Little Dragon, lover chanting for thirty seconds.

1149
01:06:39,760 --> 01:06:41,560
Speaker 1: All right, we're gonna write out on that. We will

1150
01:06:41,560 --> 01:06:44,200
Speaker 1: be back tomorrow because it is a daily podcast. We'll

1151
01:06:44,240 --> 01:06:57,920
Speaker 1: talk to you guys then by watching never move to

1152
01:07:00,200 --> 01:07:05,960
Speaker 1: what you talk do? Shut up, can't talk about something

1153
01:07:08,040 --> 01:07:14,160
Speaker 1: I still love? You'll call back Brave Mother. Dr Same.

1154
01:07:16,160 --> 01:07:22,640
Speaker 1: We'll give it from your love m