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Speaker 1: Hello the Internet, and welcome to Season one, twenty, episode

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Speaker 1: five of Daily Guys, a production of I Heart Radio.

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

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

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Speaker 1: fux the Coach Brothers and fuck Fox News. It's Friday, February.

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Speaker 1: Day's a gang. My name is Jack O'Brien a k

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Speaker 1: It's nine o'clock on a weekday. Jack O'Brien loves Mountain Dew.

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Speaker 1: Miles Gray's sitting next to me making love too. Is

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Speaker 1: Kirkland Cold Brew. That is turty Sy of picked Lasting

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Speaker 1: Zeke class At go to Joe three oh three three

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

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Speaker 1: co host Mr Miles from Washington, d C with side

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Speaker 1: from Washington, d C. Now Miles Grand jack o VI too,

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Speaker 1: I take in Zaddie's hosting d DZ now Dack and

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Speaker 1: my brick keep going recording shows every goddamn day. Now.

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Speaker 1: Thank you to Christy Yamo for that one. And yes

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Speaker 1: you're a DC. We're in the nation's capital. Uh thought

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Speaker 1: to rock to rock. I've seen a million faces and

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Speaker 1: I've rocked. Rock them all, bro, rock them all. Or

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Speaker 1: we will rock or about to rock, depending on to rock.

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Speaker 1: How yeah, because this is coming out the night after

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Speaker 1: the show. But we're we have experienced Brooklyn, Brooklyn, that

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Speaker 1: was what a night? What at the Bellhouse? And I

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Speaker 1: can only assume Washington, d C. The Miracle Theater is

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Speaker 1: going to be as miraculous as we expect the theater

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Speaker 1: title last night. Uh. And we're gonna come to the

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Speaker 1: Midwest at the end of this month Minneapolis February the

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Speaker 1: Parkway Theater with POS. We're gonna be in Chicago February

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Speaker 1: seven at Sleeping Village with Daniel Van Kirk. And we

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Speaker 1: are going to be in Toronto the grand Finale February

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Speaker 1: at the Great Hall the Greatest. For tickets, go to

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Speaker 1: Daily Zays dot com and go to the Live Appearances

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Speaker 1: tab for links to the tickets. We are thrilled to

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Speaker 1: be joined in our third seat by one of the greats,

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Speaker 1: the hilarious, the talented Bridget Todd. Hey, thank you for

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Speaker 1: having me. Welcome to d C. You'll always born here right, Yes,

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Speaker 1: thank you for having us. I'm so glad we've got

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Speaker 1: to see you because you don't live in l A.

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Speaker 1: So the last time you're on. It's just because you

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Speaker 1: were passing through, and now since we're passing through, it

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Speaker 1: only made sense that we thank yeah, yeah, yeah, thank

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Speaker 1: you for joining. Is it snow here? It does not lightly,

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Speaker 1: not very lightly. There's done some big snowstorms here. Oh yeah,

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Speaker 1: like two years was it two years? Yes? Controversial because

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Speaker 1: people from the Midwest who live here, we're like, oh,

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Speaker 1: it's a little snow it's nothing. It's just that I

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Speaker 1: had this experience in Kentucky too. It's that there you're

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Speaker 1: right on the border between where it snows and where

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Speaker 1: it doesn't. So you have just enough people who just

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Speaker 1: don't know how to act and accurate, and they don't

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Speaker 1: and it snows rarely enough that they don't have like

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Speaker 1: infrastructure built up. It's like in Atlanta when they had

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Speaker 1: that snowstorm and people were stuck on the highway for

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Speaker 1: three days. That like all the time, we have terrible

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Speaker 1: in All you need for it to be is windy,

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Speaker 1: and people like don't know how the stick in the road, pandemonium.

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Speaker 1: Call the police, just pick it up out of the way. Yeah, Actually,

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Speaker 1: don't get out of your are on busy roads. I'm

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Speaker 1: talking about residential the highway. People just are punking their

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Speaker 1: horn at a fallen Yeah, branding a branch. All right, Bridget,

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Speaker 1: we're gonna get to know you a little bit better

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Speaker 1: in the moment. First, we're gonna tell our listeners a

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Speaker 1: few of the things we're talking about. It is Bloomberg

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Speaker 1: a pluza. Uh, we're talking about Mike his his flooding

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Speaker 1: the lanes on social media, on yeah, everywhere, a lot

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Speaker 1: of cool quotes coming out from him that are actually

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Speaker 1: quotes that have been around for a while but are

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Speaker 1: being recirculated so people can understand who the candidates. Yeah, exactly.

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Speaker 1: That's not fair. That's not you guys, not fair. Oh

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Speaker 1: you're leaking, cheating five years that has been on the internet,

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Speaker 1: voluntarily said to a group of people, and the thing

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Speaker 1: that he partially funds too write. So we're gonna look

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Speaker 1: at a study that was widely quoted by people on

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Speaker 1: the right, your Jordan's Peterson about how women just don't

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Speaker 1: like science. They don't like science, bro, that's why they

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Speaker 1: don't go into the sciences. Uh, it's just their choice. Um,

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Speaker 1: And somebody finally took a look at that study and

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Speaker 1: the numbers were all fucked up. So we're gonna talk

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Speaker 1: about that. We're gonna talk about Trump is getting his

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Speaker 1: favorite nurse back, Hope Picks. She's back baby. The Astros

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Speaker 1: gave one of the worst apology press conferences ever, So

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Speaker 1: we'll talk about that. It's truly something to behold. But first, bridget,

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

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

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Speaker 1: Something from my search history that is revealing about who

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Speaker 1: I am is the fact that I am apparently gullible

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Speaker 1: enough that if you saw that tweet recently that NASA

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Speaker 1: came out with a statement that a couple of days

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Speaker 1: ago was the only day that your broom could stand

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Speaker 1: up up right. And I live with a scientist, and

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Speaker 1: so I was like, is this true? Is this? Did

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Speaker 1: NASA I really say this? And he was like, no,

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Speaker 1: are you an idiot? And then I set off to

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Speaker 1: prove him wrong, did a lot of googling, and it

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Speaker 1: all turns out that's yes, NASA didn't say that. I

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Speaker 1: did spend two hours of my time getting my broom

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Speaker 1: to stand up up right. Um, did you get it?

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Speaker 1: I did? I have a picture. I documented this. It

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Speaker 1: took me two hours. I didn't get a video. Then

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Speaker 1: I don't know, man, you could have got it true,

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Speaker 1: you know. I mean, I'm a broom MythBuster. Everybody. Everybody

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Speaker 1: made it seem very easy, like they just like put

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Speaker 1: the broom down, that stood up. But I think it

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Speaker 1: takes a lot about It took me two hours of

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Speaker 1: my bad depends on how new the broom is. I'd

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Speaker 1: imagine it's easier with the new room versus like the

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Speaker 1: ones I have in my house, sort of like half

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Speaker 1: curled over from but then you can't get it to

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Speaker 1: stand up. But it has nothing to do with the planets.

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Speaker 1: So that's what I had to google. I didn't know.

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Speaker 1: I wasn't sure. Um, what is something you think is overrated? Okay,

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Speaker 1: something I think is overrated? And I don't know if

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Speaker 1: this is a controversial take. I just realized it was

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Speaker 1: a controversy around this. I guess I would say it

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Speaker 1: is overrated to be on a plane and not put

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Speaker 1: your seat back. Oh yeah, I just realized. So there

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Speaker 1: was a thing on Twitter where a woman put her

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Speaker 1: seat back and the guy behind her sitting in that

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Speaker 1: that last seat that doesn't go back, and so for

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Speaker 1: whatever reason, his response is to punch her seat repeatedly um,

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Speaker 1: and so I tweeted about that and people were like, oh,

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Speaker 1: people are divided, like who's in the wrong. And I

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Speaker 1: was like, well, obviously he's in the wrong, like she's

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Speaker 1: using her seat the way that it was designed to do.

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Speaker 1: And I found out that most people think it's rude

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Speaker 1: to decline your seat on a plane. I see, I

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Speaker 1: think about that. I go, oh, this is gonna suck

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Speaker 1: for the person. But I'm also like, I paid for

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Speaker 1: a fucking seat. It's the feature on there, so I'm

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Speaker 1: gonna do that. The part I do understand, right, is

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Speaker 1: more of like it's probably more about like treating the

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Speaker 1: plane as like a village right where we know we're

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Speaker 1: all oppressed in economy right by the airline and they've

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Speaker 1: given us these limited resources. Now we could abuse them,

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Speaker 1: but we should also consider our neighbors because we're all

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Speaker 1: in this together in steerage or whatever. Because I really think, yeah,

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Speaker 1: I think the most same take about the whole thing

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Speaker 1: is direct all your anger at the airline, definitely, because

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Speaker 1: but also like, you can't be punching someone's seat. I

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Speaker 1: think I think you're I think you don't. You don't

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Speaker 1: have to feel you're not a shitty person if you're like, oh,

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Speaker 1: that sucked that someone reclined their seat. But I don't

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Speaker 1: think that is violence. I don't know punching in the

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Speaker 1: back of somebody's seat over and over and over again. Uh.

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Speaker 1: And people, I saw that tweet and I saw people

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Speaker 1: responding being like, figged, she just started videoing. It is

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Speaker 1: like bullshit, she should have gotten somebody. And it's like,

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Speaker 1: you don't know what happened before she started doing what

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Speaker 1: the real context is this also, these my videos, you

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Speaker 1: never know what's actually happening was going on, and like

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Speaker 1: she just you know, I don't know what. They're just

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Speaker 1: going through a messy divorce. Yeah, I was like, oh,

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Speaker 1: that's my ex, Like I let him dry and I

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Speaker 1: just happened to be sitting in front of him and

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Speaker 1: I gave it to him one more time. Can you

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Speaker 1: imagine how angry you'd be if if that was my

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Speaker 1: ex wife? Who would like but you know, I'm maybe

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Speaker 1: rightfully destroyed by the divorce or something. And then there

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Speaker 1: she is in front of me and then sends me

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Speaker 1: into spatial Hell. Yeah, that back row though, that's criminal. Yeah,

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Speaker 1: And people people were saying in the comments of your

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Speaker 1: Twitter posts, that they were like, yeah, I'd never put

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Speaker 1: my I would never recline my seat. It's like, what

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Speaker 1: do you think it reclines for? Right? It like it?

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Speaker 1: I get it right, That's what I mean. Like, if

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Speaker 1: the sentiment is purely coming out of like I cannot

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Speaker 1: inconvenience with my fellow human, you know, because the space

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Speaker 1: is limited. But like to get very hard lined about it,

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Speaker 1: I'm sort of like, yo, if if the person in

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Speaker 1: front of me set comes back, guess what my seats

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Speaker 1: coming back exactly before anybody sends me hate mail on this,

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Speaker 1: I understand that you need to, like, maybe you need

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Speaker 1: to ask look behind you, make sure they're not drinking

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Speaker 1: a hot coffee. Good back there, don't you know? Just

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Speaker 1: shut it back? I do what the second we take off,

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Speaker 1: don't like stake your claim. Yeah, I'm just like, just

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Speaker 1: so you know, it goes and before the thing is

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Speaker 1: over your back, I use the the g forces of

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Speaker 1: the takeoff to slowly requires and then if they don't

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Speaker 1: they don't realize, it's too late. By the time they realize. Me,

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Speaker 1: one of the people in the comments I'm now realizing

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Speaker 1: I like read deeply into this thread. But one of

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Speaker 1: the people in the comments was saying that they their

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Speaker 1: trick is that if somebody reclines into them, they point

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Speaker 1: their air down the back of that person's neck and

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Speaker 1: it makes them like go for it every time, because

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Speaker 1: why you think I were a hoodie bro. Yeah, But

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Speaker 1: also like I mean if someone's really like, excuse me,

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Speaker 1: like you my knees. That's happened before someone was like

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Speaker 1: this person was huge, like tall and it was actually

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Speaker 1: impeding on their legs and I was like, oh, yeah,

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Speaker 1: I get that, but also wants to be like you

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Speaker 1: should have set in the bunkhead then yeah, I suffer

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Speaker 1: from a conflict avoidant personality disorder. I think like I

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Speaker 1: am just I will I will avoid the Yeah, I

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Speaker 1: will just avoid this ship out of any conflict no

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Speaker 1: matter what. But um the yeah. But like in that case,

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Speaker 1: I would always flip it forward. I can't imagine a

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Speaker 1: scenario where you're just like hitting it repeatedly. No, unless

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Speaker 1: like someone's hair, they put their hair over the seat.

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Speaker 1: I hate that. When I've seen that, it's it's gross.

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Speaker 1: It's it's not like very common, but it's starting to

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Speaker 1: creep up more and more. Anything like if I could

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Speaker 1: wear a bunny suit like one of those things or

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Speaker 1: like a hazmat suit onto planes. That's what I would

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Speaker 1: wear because they're filthy. It's not the air. Everybody blames

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Speaker 1: the air. It's the seats. You're sitting in a garbage can.

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Speaker 1: They do not clean that ship, so to like put

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Speaker 1: your hair all over that ship, I think in their

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Speaker 1: mind they're like, well, at least I'm like like laying

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Speaker 1: on it in between the seats. So like there was

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Speaker 1: a there's a photo of some like woman's hair being

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Speaker 1: so long coming out of the back that it was

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Speaker 1: nearly going into the drink of the person, in which

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Speaker 1: case you should just be like, you know what I'm

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Speaker 1: gonna I'm gonna tune up your little embre with some

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Speaker 1: tomato juice. Yeah, absolutely, And yeah flying is the worst. Flying.

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Speaker 1: It's like just so nasty. The CDC says that you

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Speaker 1: should not wash your hands when you're in the airplane

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Speaker 1: bathroom because it's that gross. It's like grosser than not

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Speaker 1: washing your hands after going to the bathroom. It's washing

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Speaker 1: them with that water. Is that true? I know I

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Speaker 1: talked about not knowing my like NASA science backs earlier,

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Speaker 1: but this one is take us to the bank all right,

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Speaker 1: what is something you think is underrated? Well, I think

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Speaker 1: I gotta go back to Miles on this one. I

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Speaker 1: think it's underrated ten not rise up against our like

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Speaker 1: corporate capitalist nightmare airplane line Overlord's like blaming anybody in

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Speaker 1: this plane situation. We should be blaming. Yes, yeah, And

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Speaker 1: when you look at it, it's such a cynical cash grab.

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Speaker 1: You've slowly just been putting more seats in and it's like,

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Speaker 1: not even it's not the same ship. And then I mean, obviously,

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Speaker 1: look if you're flying budget, you know, like I'm just

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Speaker 1: here to get from A to B. Like I don't

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Speaker 1: need an experience in the air. I just need the

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Speaker 1: experience of traveling something. But like, when you look at

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Speaker 1: the it's almost like by design, they want to make

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Speaker 1: it so bad that you're like, you know what, man,

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Speaker 1: maybe I should just forego my child's college fund and

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Speaker 1: fly business the next time because it's so unbearable sometimes,

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Speaker 1: especially if you're tall. Yeah, it can be. It can

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Speaker 1: be a bit of a nightmare. But that's why you

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Speaker 1: gotta just get in early, get that bunk that bunkhead

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Speaker 1: or what is it, a bulkhead emergency exit row. Although

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Speaker 1: Bulkhead does have that weird depends. Yeah, sometimes you get

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Speaker 1: the weird screen, the weird screen that folds out like

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Speaker 1: a robot, like a Transformer robot army that you never wanted. Um. Yeah,

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Speaker 1: I hate playing. Uh. And finally, what is a myth?

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Speaker 1: What's something people think is true you know to be false? Well,

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Speaker 1: I have to go back to my first one. I

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Speaker 1: don't know if that's kind of lame, but that your

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Speaker 1: broom stands up on one particular day and that NASA

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Speaker 1: said though, that's a myth, not true. Do we know

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Speaker 1: if this is was new or this has happened before

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Speaker 1: people have tried to perpetrate this home. I think it's

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Speaker 1: a hoax that comes up once a year. Like the

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Speaker 1: way that I saw it just described was like, oh,

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Speaker 1: it's the equinox, it's some special day. Um, but that's

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Speaker 1: not true right right, Um, we have to rise up

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Speaker 1: against our broom overlords as well. There there have been

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Speaker 1: other myths like this that went viral, Like before the Internet,

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Speaker 1: there was one that like if everybody jumped at the

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Speaker 1: same time in the UK, like something was going to

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Speaker 1: have through off the tilt of throw off the tilt

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Speaker 1: of the earth or something like Piba. Everybody did it,

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Speaker 1: and everybody did it except for one person. And that's why,

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Speaker 1: that's why I didn't throw off the tilt. That woman

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Speaker 1: is a hero, which just didn't know she happened to

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Speaker 1: be in the bathroom. All right, let's talk about what

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Speaker 1: Mike Bloomberg is doing to get just get his name

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Speaker 1: out there, you know, other than creating his own media

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Speaker 1: empire and naming it, areeing money at anything anyone who

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Speaker 1: might have a platform or anything, just like, hi, please,

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Speaker 1: I'm Mike Bloomberg. I just need name recognition because I'm

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Speaker 1: not trying to actually have a campaign here and just

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Speaker 1: trying to just do the name recognition thing. And some

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Speaker 1: people notice now that uh fuck Jerry, the great meme

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Speaker 1: stealing account who helped you know, the great fire Festival,

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Speaker 1: uh perpetrate their scam um is now apparently helping Mike

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Speaker 1: Bloomberg out. And these are experts on what is viral,

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Speaker 1: like on creating viral memes, and the way they do

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Speaker 1: that is they just steal tweets and Instagram posts from

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Speaker 1: actually talented committe and just like don't credit them, yeah

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Speaker 1: yeah yeah, or re contextualize them and then like yeah,

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Speaker 1: then it's Jerry Yeah, um yeah. A lot of like

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Speaker 1: their accounts, just big meme accounts. They've been posting like

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Speaker 1: this same construction basically of it looks like a d

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Speaker 1: M that comes from Mike Bloomberg and this is like

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Speaker 1: to the fun Jerry account and says, Hello, Jerry, my

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Speaker 1: granddaughter showed me this account. Your memes are very humorous.

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Speaker 1: Can you post a meme that lets everyone know I'm

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Speaker 1: the cool candidate? And then it says what did you

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Speaker 1: have in mind? And it's like a photo of him

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Speaker 1: like in a weird vest and shorts, and it just says,

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Speaker 1: when you're the cool candidate, and they just go that

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Speaker 1: will cost like a billion dollars. Then Mike Bloomberg responds,

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Speaker 1: what's your venomouh? And so that's supposed to be funny.

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Speaker 1: In the comment section, uh, he goes, he does look

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Speaker 1: pretty funk. Jerry posted he does look pretty cool and

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Speaker 1: then parentheses and yes this is really hashtag sponsored by

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Speaker 1: at my Bloomberg. Um, And then people in the comments

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Speaker 1: were like, so good, one guy, Wow, it's yeah. And

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Speaker 1: then they're even grape Juice Boys, same thing, Hello, grape

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Speaker 1: Juice Boys, can you post an original meme to make

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Speaker 1: me look cool for the upcoming Democratic primary. I don't

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Speaker 1: think so. To be honest, your vibe is kind of off. Wow,

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Speaker 1: that's that's that's saying that's actually And then he's puts

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Speaker 1: I put Lamborghini doors on the escalade what okay, wait,

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Speaker 1: I don't even really it says, and they're even saying

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Speaker 1: I don't get it. That's like the colm that that

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Speaker 1: Are you sure? I don't know what My first question is.

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Speaker 1: These aren't even funny, they're more just weird. So I'm

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Speaker 1: not even sure what he's trying to convey to the

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Speaker 1: youth or whatever, you know, whatever audience he's targeting. I'm

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Speaker 1: not sure what that message is. Is that, um, Mike

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Speaker 1: Bloomberg is perplexing. Yeah, and he's quoting lyrics from the

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Speaker 1: game Yeah like it. Okay, the Grape Juice boys like

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Speaker 1: the what they posted with it was I don't get it.

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Speaker 1: And then question mark question mark paid for by Mike Bloomberg.

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Speaker 1: So are they just like taking advantage of the fact

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Speaker 1: that he'll pay them to do nothing or yeah, it's

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Speaker 1: just wild. It's depressing. I think that one of the

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Speaker 1: accounts that reposted one of these is Kale Salad, and

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Speaker 1: I saw on Twitter that the person who runs that

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Speaker 1: is a BuzzFeed staffer, and there was a good conversation about,

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Speaker 1: you know, what are the guidelines that BuzzFeed has from

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Speaker 1: a political candidate paying one of their journalists money to

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Speaker 1: run advertising on their personal Instagram account, right, And I

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Speaker 1: thought like, that is a good question. That's a good question.

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Speaker 1: I I feel like we should allow journalists to secure

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Speaker 1: the bag there. They need to get paid. Yeah, but yeah,

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Speaker 1: I wonder what that means. I wonder if if their

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Speaker 1: takes are going to be a little less objective, like

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Speaker 1: you know, he did put Lamborghini doors on the escalator.

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Speaker 1: I bet you we'll have Chris Matthews saying that, and

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Speaker 1: he did put Lamborghini do. I mean, it seems like

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Speaker 1: it's about to be pretty concerted that everybody who was like,

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Speaker 1: you know, who's not feeling Bernie is gonna line up

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Speaker 1: behind Mike Bloomberg, still figuring out who will be the

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Speaker 1: savior for Wall Street. Mike Bloomberg had this tweet, we

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Speaker 1: know many of the same people in New York behind

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Speaker 1: your back, they laugh at you. This is at real

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Speaker 1: Donald Trump. They laugh at you and call you a

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Speaker 1: carnival barking clown. They know you inherit a fortune and

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Speaker 1: squandered it with stupid deals and incompetence and carnival hashtag

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Speaker 1: Carnival barking clown is the number three trending thing on Twitter,

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Speaker 1: and people are like, ha, this is so funny, and

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Speaker 1: like he Trump must be so scared of him, and

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Speaker 1: it's just well, we'll get into why we're a little

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Speaker 1: bit uh, you know, not not fully sold on Michael Bloomberg.

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Speaker 1: As it's not fully sold. I'm not full le sold all.

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Speaker 1: I wouldn't say I'm there right, there's there's still there's

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Speaker 1: still a shot. Yeah, but um yeah, I mean he's

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Speaker 1: he's getting support, he's he's racking up the numbers. So

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Speaker 1: we'll talk about what the people who are lining up

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Speaker 1: behind him are having to ignore. But first we're going

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Speaker 1: to take a quick break and we're back and let's

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Speaker 1: talk about some of the things that are coming out

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Speaker 1: about Bloomberg, because uh, you know, it feels like there's

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Speaker 1: like a lot of oppo research that's coming out, but

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Speaker 1: it doesn't seem actually like like all this ship was

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Speaker 1: just out there already, Like they're not you're not having

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Speaker 1: to do a ton of research. There's nothing about Okay,

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Speaker 1: so we'll first there was a clip that I think

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Speaker 1: most people had heard where he was basically talking about

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Speaker 1: how lit stop him frisk was and completely ignoring that

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Speaker 1: it was basically criminalizing being a black or brown young

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Speaker 1: man in the city and just more like, yeah, but

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Speaker 1: you know, you you just put them up against the

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Speaker 1: wall and they maybe they'll think twice to leave the

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Speaker 1: gat at home, and and that's how we make the

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Speaker 1: city safer. And then he said he had this Basically

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Speaker 1: he's describing the how like over policing creates this bias

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Speaker 1: about how dangerous neighborhoods are, without actually exploring that. He's

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Speaker 1: out loud saying goes and then you go in those

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Speaker 1: neighborhoods and you police some more, and then what do

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Speaker 1: you know, there's more arrests there. It's like because you're

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Speaker 1: over police and like when you look, I mean, all

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Speaker 1: the statistics just show like how completely wrong everything he

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Speaker 1: was saying. But he was trying to find like basically

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Speaker 1: saying like, yeah, I'm I guess I'm vindicated in doing this,

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Speaker 1: when it was just an absolutely just terrible, atrocious racist

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Speaker 1: policy of harass did he really say maybe white people

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Speaker 1: are being over yes, and maybe we need to police

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Speaker 1: the other neighborhoods a little more. He sounds. The thing is,

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Speaker 1: I think his energy is so low you don't realize

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Speaker 1: I'm saying, like, the most vile shit is my energy.

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Speaker 1: So even if he's screaming like Trump, you know he's

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Speaker 1: like this, it's a lot different. Someone's like, you know,

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Speaker 1: Trump did say that he has dead energy like Trump

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Speaker 1: is like above all things a media critic where he's

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Speaker 1: like his energy is off y. He sounds like a

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Speaker 1: wet balloon. But yeah, the whole thing was like so

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Speaker 1: then there was this that that whole thing, and when

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Speaker 1: he was asked to sort of like defend it, he

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Speaker 1: was just being like, you know, I I lad one

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Speaker 1: of the most diverse cities in the world. Never actually

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Speaker 1: answering like the substance of it, like why would you

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Speaker 1: say that? Like what are you do you believe that?

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Speaker 1: And he goes, I've already apologized. It was five years ago,

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Speaker 1: and that's five Yeah, that's years. I don't know why

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Speaker 1: we're bringing this recent. Isn't that like at the end

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Speaker 1: of his run as mayor or was he still right?

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Speaker 1: I don't even know if that's after a lot of time,

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Speaker 1: a lot of his ideas had time to solidify, and

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Speaker 1: that's what he believes. And I'm sure if he had

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Speaker 1: any kind of campaign staff worth their own salt, they're like, hey,

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Speaker 1: you're going to have to figure this one out. Especially

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Speaker 1: let's not figure out like this is what he did,

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Speaker 1: Like this is I mean figuring out address it? Right?

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Speaker 1: I think that's my thing. Like, as a black person,

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Speaker 1: I can't imagine ever voting for him. Apparently I'm I'm not,

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Speaker 1: I'm a minority in this regard um, but I can't

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Speaker 1: imagine voting for him if there's not some meaningful, thoughtful

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Speaker 1: reckoning not just why I apologized it was five years ago,

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Speaker 1: because that's what I hear from him now. I don't

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Speaker 1: think he has taken stock of how horrible this policy

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Speaker 1: was for an entire generation of black and brown kids

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Speaker 1: in New York. And I think that, like until and

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Speaker 1: and because of that, I think that he cannot quite

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Speaker 1: see us as like fully human or like fully deserving

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Speaker 1: of that kind of like thoughtful, thoughtful reflection of his

423
00:24:00,720 --> 00:24:03,919
Speaker 1: own policy. And so I think you're right until I

424
00:24:04,000 --> 00:24:07,320
Speaker 1: hear some kind of like a meaningful tactic around it

425
00:24:07,400 --> 00:24:09,560
Speaker 1: or like addressing of it. It's like it all sounds

426
00:24:09,600 --> 00:24:11,760
Speaker 1: like noise. Yeah, and it is. And that's why I'm like,

427
00:24:11,760 --> 00:24:14,440
Speaker 1: I don't expect any kind of meaningful response because I'm

428
00:24:14,480 --> 00:24:16,800
Speaker 1: looking at everything he says and how he acts, and

429
00:24:16,840 --> 00:24:19,240
Speaker 1: that's just who he is. I don't believe there's a

430
00:24:19,280 --> 00:24:22,320
Speaker 1: self aware of person or someone who's seeking growth or

431
00:24:22,359 --> 00:24:25,840
Speaker 1: any kind of reconciliation about the effect it had on

432
00:24:25,960 --> 00:24:28,000
Speaker 1: millions of people. He just sort of like, that's what

433
00:24:28,080 --> 00:24:30,680
Speaker 1: it was. And the numbers, you know, they show one thing,

434
00:24:30,760 --> 00:24:33,359
Speaker 1: and I'll look at it very narrowly. Then he was

435
00:24:33,400 --> 00:24:36,919
Speaker 1: out here saying in another sound bite that basically the

436
00:24:36,960 --> 00:24:40,040
Speaker 1: two thousand eight economic crash was in part due to

437
00:24:40,240 --> 00:24:44,800
Speaker 1: the ending of redlining, or less restrictive loans being given out,

438
00:24:45,680 --> 00:24:48,760
Speaker 1: which was unbelievable, where it's like, hold on, you're talking

439
00:24:48,760 --> 00:24:52,000
Speaker 1: about the most racist practice that has led to the

440
00:24:52,080 --> 00:24:55,199
Speaker 1: exact wealth inequality that we see today, like and the

441
00:24:55,240 --> 00:24:58,720
Speaker 1: exact wealth inequality with primer if you're hearing this word redlining.

442
00:24:58,760 --> 00:25:01,240
Speaker 1: For the first time in the eties, their surveyors went

443
00:25:01,320 --> 00:25:03,560
Speaker 1: to like hundreds of cities in the country and began

444
00:25:03,720 --> 00:25:08,520
Speaker 1: raiding neighborhoods like green meant best, blue still desirable, yellow

445
00:25:08,840 --> 00:25:12,320
Speaker 1: definitely declining, and red for hazardous, and back then in

446
00:25:12,440 --> 00:25:16,160
Speaker 1: the thirties that just meant not white. And so basically

447
00:25:16,200 --> 00:25:19,240
Speaker 1: from there it was saying that these red districts are risks,

448
00:25:19,240 --> 00:25:21,639
Speaker 1: so you shouldn't give them loans at all, and if

449
00:25:21,680 --> 00:25:23,880
Speaker 1: it were, and if you did, it would be tremendously expensive,

450
00:25:23,960 --> 00:25:25,680
Speaker 1: or they just wouldn't be there at all. And so

451
00:25:26,000 --> 00:25:28,800
Speaker 1: that means people can't move up up. There's no upward

452
00:25:28,800 --> 00:25:31,880
Speaker 1: mobility if you cannot buy a home. And the way

453
00:25:31,920 --> 00:25:34,000
Speaker 1: people woul accumulate wealth in the United States is through

454
00:25:34,040 --> 00:25:37,800
Speaker 1: buying their homes, owning a home, owning property. And so

455
00:25:37,840 --> 00:25:40,320
Speaker 1: when you look at even now the legacy of it

456
00:25:40,359 --> 00:25:43,840
Speaker 1: in all these impoverished neighborhoods, they're still there because of

457
00:25:43,880 --> 00:25:47,400
Speaker 1: this or yeah, or just the bucket they were put

458
00:25:47,400 --> 00:25:49,680
Speaker 1: into buy a bunch of random races were not random,

459
00:25:49,680 --> 00:25:51,359
Speaker 1: but just these racist people who wanted to create this

460
00:25:51,400 --> 00:25:57,360
Speaker 1: system that r FDR. Yeah. Literally, um So, the term

461
00:25:57,359 --> 00:25:59,679
Speaker 1: redlining has a lot of weight behind it. It speaks

462
00:25:59,680 --> 00:26:01,920
Speaker 1: a lot to the scenario and the situation on black

463
00:26:01,920 --> 00:26:04,160
Speaker 1: and brown people, especially black people in this country find

464
00:26:04,200 --> 00:26:08,480
Speaker 1: themselves in especially look at Baltimore, Like that's completely redlining

465
00:26:08,520 --> 00:26:12,080
Speaker 1: has the legacy is still there in many places, is

466
00:26:12,160 --> 00:26:14,720
Speaker 1: in Georgia, all over the country. And so to hear

467
00:26:14,760 --> 00:26:18,560
Speaker 1: a candidate try and blame like loans being given out

468
00:26:18,680 --> 00:26:21,280
Speaker 1: or equating that somehow black and brown people lead to

469
00:26:21,320 --> 00:26:26,600
Speaker 1: the economic collapse is unbelievable. It's absurd, it's offensive, and

470
00:26:26,640 --> 00:26:32,440
Speaker 1: it's diabolical. It's completely I'm like, there's no especially billionaires

471
00:26:32,440 --> 00:26:36,560
Speaker 1: and like wealthy people on Wall Street, like his people

472
00:26:36,880 --> 00:26:40,760
Speaker 1: caused the economic collapse, and it's just like going out

473
00:26:40,800 --> 00:26:43,520
Speaker 1: of his way to see people. When you're told to

474
00:26:43,520 --> 00:26:45,720
Speaker 1: give more loans out, you give the loans out, but

475
00:26:45,760 --> 00:26:48,040
Speaker 1: then there's some people who don't have the credit for it,

476
00:26:48,400 --> 00:26:51,080
Speaker 1: so then they're overextending themselves and then you need additional

477
00:26:51,119 --> 00:26:53,880
Speaker 1: credit to keep that going. And it's a really bad place,

478
00:26:54,520 --> 00:26:57,840
Speaker 1: you know. Um, so that's what's going. And then so

479
00:26:57,880 --> 00:27:00,080
Speaker 1: when he was asked about that, the campaign had the

480
00:27:00,160 --> 00:27:03,159
Speaker 1: lamest excuse, you like, why did Mike Bloomberg try and

481
00:27:03,400 --> 00:27:07,000
Speaker 1: like say that like redlining or the lack of redlining

482
00:27:07,040 --> 00:27:09,080
Speaker 1: caused the economic collapse And it's sort of like what

483
00:27:09,119 --> 00:27:11,440
Speaker 1: are you was saying was the end of redlining was

484
00:27:11,480 --> 00:27:14,919
Speaker 1: a good thing that happened, and then after that a

485
00:27:14,960 --> 00:27:18,560
Speaker 1: bad thing happened. That was like almost the gist of

486
00:27:18,560 --> 00:27:20,400
Speaker 1: the things, like that's the worst thing I've ever heard,

487
00:27:20,560 --> 00:27:24,879
Speaker 1: not even explanations, that's just a weird distillation and just

488
00:27:24,920 --> 00:27:27,960
Speaker 1: being like okay, so fuck up. And then something else

489
00:27:27,960 --> 00:27:29,679
Speaker 1: I want to I like to mention when we talk

490
00:27:29,720 --> 00:27:32,359
Speaker 1: about redlining, is that this it sounds like something that

491
00:27:32,400 --> 00:27:34,840
Speaker 1: happened so long ago, but think about this. A lot

492
00:27:34,840 --> 00:27:36,760
Speaker 1: of people in this country they're only able to pay

493
00:27:36,800 --> 00:27:38,960
Speaker 1: for college if their parents can mortgage at home, Like

494
00:27:39,000 --> 00:27:40,679
Speaker 1: that's how my fads paid for me to go to college.

495
00:27:40,840 --> 00:27:44,120
Speaker 1: And so there are still ramifications of this today. Redlining

496
00:27:44,160 --> 00:27:47,720
Speaker 1: is still something that we're fighting for, fighting against today,

497
00:27:47,760 --> 00:27:49,480
Speaker 1: the impacts of it that we feel today. And so

498
00:27:49,840 --> 00:27:52,600
Speaker 1: if you're in college, if you're young person, look around, like,

499
00:27:52,720 --> 00:27:55,120
Speaker 1: did your grandfather own his home and so he could

500
00:27:55,119 --> 00:27:57,000
Speaker 1: mortgage that to send your dad to college and he

501
00:27:57,000 --> 00:27:59,200
Speaker 1: could mortgage his home toess and you to college. Your

502
00:27:59,280 --> 00:28:01,800
Speaker 1: black class, your brown class might might not be in

503
00:28:01,800 --> 00:28:04,080
Speaker 1: that same situation. So it's very much something that we

504
00:28:04,160 --> 00:28:07,600
Speaker 1: are still kind of steeping in today when there's still

505
00:28:07,640 --> 00:28:10,719
Speaker 1: a lot of racism in like the real estate industry

506
00:28:10,800 --> 00:28:14,160
Speaker 1: and where yeah, like it's still when you're still getting

507
00:28:14,200 --> 00:28:17,800
Speaker 1: digged for discriminatory lending. And when you again, when you

508
00:28:17,840 --> 00:28:21,320
Speaker 1: look at it, that wealth disparity shows up now because

509
00:28:21,359 --> 00:28:24,720
Speaker 1: white families have ten times the net worth of Black

510
00:28:24,760 --> 00:28:28,399
Speaker 1: families and eight times out of Hispanic families. That's just

511
00:28:29,240 --> 00:28:31,480
Speaker 1: that's just what it is. Because they came through and said,

512
00:28:31,640 --> 00:28:35,320
Speaker 1: if this is in a Northern European person area, we're

513
00:28:35,359 --> 00:28:37,080
Speaker 1: probably it's probably gonna be a red for it's a

514
00:28:37,080 --> 00:28:40,080
Speaker 1: bunch of like unofficial policies and like you know ship

515
00:28:40,280 --> 00:28:44,880
Speaker 1: like that's hidden in maps, in like archives, in history

516
00:28:45,000 --> 00:28:48,960
Speaker 1: and in like libraries, but like that's where the racism,

517
00:28:49,040 --> 00:28:52,120
Speaker 1: like you can find it, and that's where it's And

518
00:28:52,160 --> 00:28:54,520
Speaker 1: this is why, like when you look at a candidate, right,

519
00:28:54,640 --> 00:28:57,920
Speaker 1: these are the steaks. There is systemic racism in this

520
00:28:58,000 --> 00:29:01,800
Speaker 1: country that is still you know, thriving, and we're we've

521
00:29:02,120 --> 00:29:05,840
Speaker 1: no one. There's not really been a real meaningful, uh

522
00:29:05,880 --> 00:29:09,720
Speaker 1: plan to really deconstruct that and try and create some equity.

523
00:29:09,880 --> 00:29:11,800
Speaker 1: So when I look at a candidate and I look

524
00:29:11,840 --> 00:29:15,040
Speaker 1: at somebody who's trying to like very casually and lamely

525
00:29:15,080 --> 00:29:17,600
Speaker 1: be like, you know, if the red lining was still there,

526
00:29:18,040 --> 00:29:20,280
Speaker 1: maybe the Wall Street people wouldn't have taken a hit.

527
00:29:20,320 --> 00:29:22,480
Speaker 1: I'm like, you have no clue what the stakes are

528
00:29:22,520 --> 00:29:25,320
Speaker 1: for regular people, and you have no clue that damage

529
00:29:25,360 --> 00:29:27,200
Speaker 1: that has been done and based off. If you don't

530
00:29:27,240 --> 00:29:29,760
Speaker 1: know what the damages, you can't fix it because it's

531
00:29:29,760 --> 00:29:31,960
Speaker 1: invisible to you. And I need to be visible to

532
00:29:32,000 --> 00:29:35,240
Speaker 1: a candidate. If I am invisible, I will they will

533
00:29:35,280 --> 00:29:37,880
Speaker 1: not advocate for me. And so I think that's why,

534
00:29:38,080 --> 00:29:41,800
Speaker 1: you know, when when the Bloomberg ad came on accidentally

535
00:29:41,800 --> 00:29:43,440
Speaker 1: in front of our show, We're like, man, fuck that,

536
00:29:43,920 --> 00:29:46,960
Speaker 1: because this guy, this he actually to me personally. You know,

537
00:29:47,000 --> 00:29:49,280
Speaker 1: I'm not gonna speak for everybody here, but he's embodying

538
00:29:49,440 --> 00:29:52,440
Speaker 1: everything that is wrong with the political system and this

539
00:29:52,600 --> 00:29:56,640
Speaker 1: kind of this outsized power people have to just sort

540
00:29:56,640 --> 00:30:00,560
Speaker 1: of throw their weight around without with seemingly no benefit

541
00:30:00,640 --> 00:30:03,479
Speaker 1: for regular people. It just seems like this is something

542
00:30:03,760 --> 00:30:06,120
Speaker 1: like this is a project. He saw how vulnerable the

543
00:30:06,160 --> 00:30:08,560
Speaker 1: party looked. Right now, he knew he had hundreds of

544
00:30:08,560 --> 00:30:11,000
Speaker 1: millions of dollars. You could just sneeze away and just

545
00:30:11,080 --> 00:30:13,960
Speaker 1: fart away on TVs like whatever, it's an afterthought, and

546
00:30:13,960 --> 00:30:15,960
Speaker 1: then you're like, yeah, and then maybe we'll see, maybe

547
00:30:16,000 --> 00:30:18,800
Speaker 1: he'll be the president. He spent more money than anybody

548
00:30:18,960 --> 00:30:21,800
Speaker 1: has spent on their campaign maybe ever at this point.

549
00:30:21,920 --> 00:30:24,840
Speaker 1: Well his answer to the press pressed him on that also,

550
00:30:24,920 --> 00:30:27,000
Speaker 1: and he was sort of like, well, you know, some

551
00:30:27,080 --> 00:30:29,520
Speaker 1: of these other people have been working for you know,

552
00:30:29,560 --> 00:30:31,920
Speaker 1: a year or something. We've only been at it ten weeks,

553
00:30:32,520 --> 00:30:35,520
Speaker 1: so into that we're keeping up. It reminded me of

554
00:30:35,560 --> 00:30:39,800
Speaker 1: the CEO of Goldman Sachs was tweeting the other day

555
00:30:40,080 --> 00:30:42,480
Speaker 1: who was like, if Bernie gets elected, Russia would be

556
00:30:42,560 --> 00:30:46,240
Speaker 1: thrilled because he hates our military and would sink our economy.

557
00:30:46,320 --> 00:30:48,640
Speaker 1: And this is a guy who was the CEO of

558
00:30:48,680 --> 00:30:54,920
Speaker 1: Goldman SAX during the economic collapse, like during financial crisis.

559
00:30:55,000 --> 00:30:58,720
Speaker 1: This dude was leading one of the largest banks. And yeah,

560
00:30:58,760 --> 00:31:03,360
Speaker 1: this is just the These hundred millionaires or billionaires are

561
00:31:03,800 --> 00:31:07,640
Speaker 1: really scared of becoming like ten millionaires, like they're just

562
00:31:08,960 --> 00:31:14,200
Speaker 1: will millionaire billionaire because these dudes are protecting their ship

563
00:31:14,360 --> 00:31:18,240
Speaker 1: like wild, I mean the tax hit Mike Bloomberg would

564
00:31:18,240 --> 00:31:20,720
Speaker 1: take under Bernie's planning, things like three billion dollars, right,

565
00:31:21,360 --> 00:31:22,920
Speaker 1: and if you look at that. It's like, man, maybe

566
00:31:22,920 --> 00:31:27,880
Speaker 1: it's worth me spending four million. That's the thing. It's like,

567
00:31:28,240 --> 00:31:31,080
Speaker 1: that's so much money that like my brokeras can't even

568
00:31:31,080 --> 00:31:33,520
Speaker 1: sort of fathom it. Wouldn't he still have so much

569
00:31:33,600 --> 00:31:39,080
Speaker 1: left over? Can't like process Yeah, I feel like absurd. Yeah,

570
00:31:39,360 --> 00:31:41,960
Speaker 1: I can't process it. And I think he's worth six

571
00:31:42,000 --> 00:31:44,600
Speaker 1: almost sixty two billions, Like what does that even mean?

572
00:31:44,720 --> 00:31:47,800
Speaker 1: That is that even does that even bridget then he'll

573
00:31:47,840 --> 00:31:51,640
Speaker 1: have less than sixty billion dollars that's him. See, that's

574
00:31:51,640 --> 00:31:55,000
Speaker 1: what's at stake from Mike Bloomberg in this selection lens. No.

575
00:31:55,320 --> 00:31:57,280
Speaker 1: I mean, I think something that really grosses me out,

576
00:31:57,280 --> 00:31:58,920
Speaker 1: and that I think it's one of the reasons why

577
00:31:58,960 --> 00:32:01,880
Speaker 1: Bloomberg is doing so wellwa Like black communities and other communities,

578
00:32:02,200 --> 00:32:04,720
Speaker 1: I think that we have gotten into this very sick

579
00:32:04,760 --> 00:32:08,360
Speaker 1: growth place of wanting to see these two white rich

580
00:32:08,400 --> 00:32:10,640
Speaker 1: guys kind of duke it out, and so people are

581
00:32:10,640 --> 00:32:13,960
Speaker 1: saying things like, oh, well, Bloomberg, like he actually has

582
00:32:14,000 --> 00:32:16,320
Speaker 1: the money that Trump brags about having or pretends that

583
00:32:16,360 --> 00:32:17,800
Speaker 1: he has, and I want to see those two like

584
00:32:17,800 --> 00:32:20,080
Speaker 1: he can really take Trump down in the way only

585
00:32:20,120 --> 00:32:24,240
Speaker 1: like another rich white guy could, and logically I sort

586
00:32:24,240 --> 00:32:26,200
Speaker 1: of get that, But what if that's not what I

587
00:32:26,240 --> 00:32:29,000
Speaker 1: want from my fucking president, Like, what if that's not

588
00:32:30,240 --> 00:32:34,000
Speaker 1: what I think their generational differences right, and what we're

589
00:32:34,000 --> 00:32:36,640
Speaker 1: seeking in this election. Some people purely just do not

590
00:32:36,800 --> 00:32:38,880
Speaker 1: want to see Donald Trump in the White House anymore.

591
00:32:39,200 --> 00:32:41,560
Speaker 1: And they they're the other issues that like, we can

592
00:32:41,600 --> 00:32:44,680
Speaker 1: get to those later. They're like, they're just people are

593
00:32:44,720 --> 00:32:48,640
Speaker 1: just so disinterested in anything else, just like just to win.

594
00:32:49,160 --> 00:32:50,800
Speaker 1: That's one group of voters, and then there are other

595
00:32:50,800 --> 00:32:53,240
Speaker 1: people who are just like, no, I'm looking, I feel

596
00:32:53,240 --> 00:32:57,880
Speaker 1: like this is an opportunity to maybe do something good, uh,

597
00:32:57,880 --> 00:32:59,560
Speaker 1: and I want to see that reflected in the candidate

598
00:32:59,600 --> 00:33:02,080
Speaker 1: I'm choose. And that's where it's like you're starting to

599
00:33:02,160 --> 00:33:04,480
Speaker 1: see these like itt manifests in all these weird ways

600
00:33:04,520 --> 00:33:08,160
Speaker 1: now where especially when you see like like Boomer, like

601
00:33:08,240 --> 00:33:12,960
Speaker 1: black voters being like, yeah, Bloomberg isn't too bad, and

602
00:33:14,080 --> 00:33:16,560
Speaker 1: when you look at evidence like this or sound bites

603
00:33:16,600 --> 00:33:19,520
Speaker 1: like this, sometimes the response is just sort of like, yeah,

604
00:33:19,560 --> 00:33:22,680
Speaker 1: but you know, so are most white politicians. Or that's

605
00:33:22,720 --> 00:33:24,560
Speaker 1: how I feel deep down. So maybe this is just

606
00:33:24,600 --> 00:33:28,040
Speaker 1: the lesser of evils, and that's just what Like, that's

607
00:33:28,040 --> 00:33:32,800
Speaker 1: what's disheartening, because there's the lesser of evils does not

608
00:33:32,960 --> 00:33:36,720
Speaker 1: give a fuck about you either way. And that's when

609
00:33:36,720 --> 00:33:39,160
Speaker 1: I'm like, you really want people to see, like, no

610
00:33:39,200 --> 00:33:41,920
Speaker 1: matter who you are, what your situation is, try and

611
00:33:42,080 --> 00:33:45,160
Speaker 1: really understand that. Like we've only we've a majority of

612
00:33:45,160 --> 00:33:47,280
Speaker 1: the time had presidents who are not really interested in

613
00:33:47,520 --> 00:33:50,520
Speaker 1: like making sure everybody is doing better. And I think

614
00:33:50,560 --> 00:33:52,320
Speaker 1: this is this is the kind of things where only

615
00:33:52,360 --> 00:33:54,280
Speaker 1: a few candidates are kind of saying the right thing

616
00:33:54,440 --> 00:33:56,960
Speaker 1: out loud or I'm like, this person seems to understand

617
00:33:56,960 --> 00:34:00,480
Speaker 1: what the what the stakes are for non millionaires. I

618
00:34:00,560 --> 00:34:04,320
Speaker 1: read somebody at five thirty eight tying that to kind

619
00:34:04,320 --> 00:34:08,759
Speaker 1: of the history of you know, suffering oppression. You know

620
00:34:09,000 --> 00:34:12,799
Speaker 1: you are, your rights are being held down, and so

621
00:34:13,280 --> 00:34:17,800
Speaker 1: you are looking for the most practical person to create

622
00:34:17,800 --> 00:34:21,520
Speaker 1: a coalition with, essentially like and so black voters tend

623
00:34:21,560 --> 00:34:24,680
Speaker 1: to be more pragmatic and they're gonna like go with

624
00:34:24,760 --> 00:34:28,080
Speaker 1: the candidate they think is most electable, which is like

625
00:34:28,320 --> 00:34:32,319
Speaker 1: I think if you are especially older people who are

626
00:34:32,360 --> 00:34:34,719
Speaker 1: like more steeped in media narratives, they are like, well,

627
00:34:34,840 --> 00:34:37,719
Speaker 1: Biden and Bloomberg are like the two guys who like

628
00:34:38,160 --> 00:34:43,960
Speaker 1: have the most standard like definition qualifications to be president,

629
00:34:44,200 --> 00:34:47,359
Speaker 1: and why the funk would you know somebody who's on

630
00:34:47,400 --> 00:34:50,600
Speaker 1: the left do well. And I think it also ties

631
00:34:50,640 --> 00:34:53,239
Speaker 1: to like what a lot of people are thinking with

632
00:34:53,440 --> 00:34:57,040
Speaker 1: regards to They just want somebody who can beat Trump,

633
00:34:57,320 --> 00:35:00,399
Speaker 1: and they feel like Bloomberg can beat Trump, and they're

634
00:35:00,440 --> 00:35:04,760
Speaker 1: not They're not thinking outside of the box. They're thinking of,

635
00:35:05,320 --> 00:35:09,680
Speaker 1: you know, of this as just another election that is

636
00:35:09,719 --> 00:35:12,839
Speaker 1: going to play by the rules of every election, except

637
00:35:13,440 --> 00:35:15,600
Speaker 1: when I think some people probably are so beaten down

638
00:35:15,600 --> 00:35:19,080
Speaker 1: by their situation and by this system that they're probably

639
00:35:19,120 --> 00:35:21,919
Speaker 1: a little nihilistic, like this ship is gonna happen. I'll

640
00:35:21,960 --> 00:35:24,880
Speaker 1: never see a world where I'm paid a living wage. Definitely,

641
00:35:24,920 --> 00:35:27,120
Speaker 1: I will continue to toil. And I think that's what

642
00:35:28,080 --> 00:35:30,560
Speaker 1: you people need to begin to connect with the idea

643
00:35:30,640 --> 00:35:33,680
Speaker 1: that it no like you're It's not that you shouldn't

644
00:35:33,680 --> 00:35:35,920
Speaker 1: be resigned to the fact that it's unchangeable. It's like,

645
00:35:36,239 --> 00:35:39,040
Speaker 1: there are more of us, and if we are coordinated

646
00:35:39,040 --> 00:35:41,640
Speaker 1: and we're organized, there is a way to balance the

647
00:35:41,640 --> 00:35:44,440
Speaker 1: scales properly. But if but but to get just to

648
00:35:44,480 --> 00:35:46,319
Speaker 1: resign to the fact that well, This is how it

649
00:35:46,320 --> 00:35:49,200
Speaker 1: always is. That's how we end up, you know, slipping

650
00:35:49,200 --> 00:35:51,040
Speaker 1: every time. Yeah, I think that your point is a

651
00:35:51,080 --> 00:35:52,880
Speaker 1: really salient one. I'm glad that you brought it up.

652
00:35:53,000 --> 00:35:54,760
Speaker 1: I have a lot of friends that are Nigerian immigrants,

653
00:35:54,840 --> 00:35:57,760
Speaker 1: and you know, Trump is cracking down an immigration from Nigeria.

654
00:35:57,880 --> 00:35:59,400
Speaker 1: And these are people who I would have thought, who

655
00:35:59,400 --> 00:36:03,000
Speaker 1: I would have just ribed as like very civically engaged, active,

656
00:36:03,080 --> 00:36:07,440
Speaker 1: like paying attention, and now just like the burden of

657
00:36:07,560 --> 00:36:12,360
Speaker 1: navigating their like increasingly more precarious immigration situations, they have

658
00:36:12,440 --> 00:36:14,719
Speaker 1: no time to do what I'm doing, you know, to

659
00:36:14,800 --> 00:36:18,239
Speaker 1: like be reading everything, going to rallies, calling my lawmakers,

660
00:36:18,320 --> 00:36:20,319
Speaker 1: this that the third no time. And I think that

661
00:36:20,320 --> 00:36:24,640
Speaker 1: that's under a when you are dealing with this kind

662
00:36:24,640 --> 00:36:26,319
Speaker 1: of I mean, I'll use the word trauma when you're

663
00:36:26,320 --> 00:36:29,839
Speaker 1: dealing with that. The idea of being able to like

664
00:36:30,040 --> 00:36:32,799
Speaker 1: dream of making a living wage or dream of not

665
00:36:32,880 --> 00:36:35,040
Speaker 1: having to like fight through all this red tape just

666
00:36:35,080 --> 00:36:37,520
Speaker 1: to stay here with your family, that seems like a

667
00:36:37,560 --> 00:36:40,319
Speaker 1: fantasy and it's not even worth putting an energy when

668
00:36:40,320 --> 00:36:42,120
Speaker 1: you have this real world ship that's going to be

669
00:36:42,239 --> 00:36:45,000
Speaker 1: knocking at your door today tomorrow and I think that's

670
00:36:45,000 --> 00:36:49,319
Speaker 1: a really that's a part of living under bucked up

671
00:36:49,320 --> 00:36:53,239
Speaker 1: fascist for Jeames that goes overlooked. It's like that that

672
00:36:53,360 --> 00:36:58,080
Speaker 1: kind of like psychic. Yeah, yeah, that's why. Yeah, like

673
00:36:58,120 --> 00:37:00,560
Speaker 1: you hope that I mean, we'll see how these are there.

674
00:37:00,560 --> 00:37:03,480
Speaker 1: You know, primaries play out, and you'd hope that there's

675
00:37:03,640 --> 00:37:06,920
Speaker 1: enough energy that people can at least believe in the

676
00:37:06,960 --> 00:37:11,319
Speaker 1: ability to start of begin to draw things back. But yeah,

677
00:37:11,320 --> 00:37:13,120
Speaker 1: you see what happens. I feel like you're already kind

678
00:37:13,120 --> 00:37:16,439
Speaker 1: of seeing it with the mainstream acceptance of Trump now,

679
00:37:16,600 --> 00:37:19,080
Speaker 1: like people are just beat down in general. I think

680
00:37:19,160 --> 00:37:23,360
Speaker 1: there's like only a certain amount of like mental calories

681
00:37:23,440 --> 00:37:26,520
Speaker 1: that we can burn on Trump before people are just

682
00:37:26,600 --> 00:37:29,600
Speaker 1: like yeah and just outrage, before people are like yeah,

683
00:37:29,640 --> 00:37:32,319
Speaker 1: I can't do it anymore. When we talk about how

684
00:37:32,640 --> 00:37:35,800
Speaker 1: by the time, like when the Nazis first swept into power,

685
00:37:35,960 --> 00:37:39,359
Speaker 1: there were all sorts of outraged news articles, but like

686
00:37:39,480 --> 00:37:44,320
Speaker 1: by the twelfth year that yeah, when they're like Hitler

687
00:37:44,400 --> 00:37:49,520
Speaker 1: had a funny quote yesterday about one of his political rivals.

688
00:37:49,560 --> 00:37:51,759
Speaker 1: So I mean that's how it happens. That's just it

689
00:37:51,840 --> 00:37:54,960
Speaker 1: becomes normalized. But that's why, you know, just have to

690
00:37:55,000 --> 00:37:57,960
Speaker 1: insist that you don't that you don't normalize it, that

691
00:37:58,160 --> 00:38:00,400
Speaker 1: you can you can maintain that, not have to be

692
00:38:00,440 --> 00:38:04,000
Speaker 1: in a state of rage constantly, but to understand like

693
00:38:04,080 --> 00:38:06,880
Speaker 1: what the stakes are at the very least, because I

694
00:38:06,880 --> 00:38:09,440
Speaker 1: think most people it kind of flies by people very

695
00:38:09,480 --> 00:38:11,680
Speaker 1: quickly because it's easy to get lost in all the

696
00:38:11,719 --> 00:38:15,080
Speaker 1: other stuff that's going on. Yeah, there's also a Twitter

697
00:38:15,239 --> 00:38:20,239
Speaker 1: thread that linked off to some of Bloomberg's past sexist behavior.

698
00:38:20,400 --> 00:38:25,800
Speaker 1: That is, that's a whole another segment. He's just I

699
00:38:25,520 --> 00:38:27,839
Speaker 1: had I had told one story that I had heard

700
00:38:27,880 --> 00:38:31,279
Speaker 1: about him, like a journalist going up to him and

701
00:38:31,760 --> 00:38:36,680
Speaker 1: like complimenting him on his gun reform, and Bloomberg just saying,

702
00:38:36,680 --> 00:38:39,320
Speaker 1: look at the ass on her to him about somebody.

703
00:38:39,320 --> 00:38:44,399
Speaker 1: But uh, there's just a litany of these quotes of

704
00:38:44,520 --> 00:38:47,240
Speaker 1: just like horrible things. I'd fuck that in a second.

705
00:38:47,719 --> 00:38:50,080
Speaker 1: I'd do that piece of meat. If women wanted to

706
00:38:50,120 --> 00:38:52,560
Speaker 1: be appreciated for their brands, they'd go to the library

707
00:38:52,600 --> 00:38:56,560
Speaker 1: instead of Bloomingdale's uh calling women fat broads and horse

708
00:38:56,640 --> 00:39:00,239
Speaker 1: face lesbians. They would go to the libraries that where

709
00:39:00,239 --> 00:39:05,120
Speaker 1: when we got our clothes. What does that mean? Um?

710
00:39:06,680 --> 00:39:09,480
Speaker 1: He would not let women who worked for him wear

711
00:39:09,840 --> 00:39:13,719
Speaker 1: flat shoes. He made them wear high heels. He would like,

712
00:39:13,880 --> 00:39:17,640
Speaker 1: talk shit about them if they like, let like tiny

713
00:39:17,800 --> 00:39:21,960
Speaker 1: fraction of their hair grow out like gray at the roots. Um,

714
00:39:23,000 --> 00:39:24,799
Speaker 1: he would say, do you pay a lot to make

715
00:39:24,840 --> 00:39:27,480
Speaker 1: your hair beat two colors? Because now it's three with

716
00:39:27,520 --> 00:39:30,080
Speaker 1: the gray. That's what he said to a woman who

717
00:39:30,080 --> 00:39:34,640
Speaker 1: worked for him. One woman came in and informed him

718
00:39:34,680 --> 00:39:37,719
Speaker 1: she was pregnant, and he said, kill it. And she

719
00:39:37,800 --> 00:39:42,239
Speaker 1: said what he repeated himself. It wasn't like a like

720
00:39:42,560 --> 00:39:45,400
Speaker 1: I'm just kidding. He was just like, yeah, no, kill it.

721
00:39:46,000 --> 00:39:50,680
Speaker 1: Uh what a fucking way to even communicate that. Yeah,

722
00:39:50,680 --> 00:39:54,000
Speaker 1: Like again, that shows you how disposable life is to

723
00:39:54,040 --> 00:39:57,759
Speaker 1: this person too, in service of my billions, kill you?

724
00:39:58,600 --> 00:40:01,080
Speaker 1: And I guess it is like people, it is just

725
00:40:01,080 --> 00:40:03,279
Speaker 1: just like Trump. Like this, If you told me that

726
00:40:03,320 --> 00:40:05,560
Speaker 1: Trump has had all of these things, I wouldn't believe you. Like,

727
00:40:05,760 --> 00:40:09,239
Speaker 1: people just want things to go back to normal and

728
00:40:09,280 --> 00:40:11,319
Speaker 1: to have Trump out of office, and they will be

729
00:40:11,360 --> 00:40:13,680
Speaker 1: fine with someone who feels this way about women and

730
00:40:13,719 --> 00:40:16,439
Speaker 1: talks this way to women. You know, it's like it's

731
00:40:16,480 --> 00:40:21,880
Speaker 1: just so fucked and was a Republican U right on

732
00:40:21,960 --> 00:40:24,560
Speaker 1: top of all of that. Yeah. We people talked about

733
00:40:24,600 --> 00:40:29,000
Speaker 1: Elizabeth Warren for having been a Republican like decades ago.

734
00:40:29,200 --> 00:40:32,480
Speaker 1: This dude was a Republican like days ago. He was

735
00:40:33,360 --> 00:40:37,200
Speaker 1: this is all. Yeah. One of his employees told him

736
00:40:37,239 --> 00:40:39,359
Speaker 1: she was married. He said, what is the guy dumb

737
00:40:39,400 --> 00:40:41,719
Speaker 1: and blind? What the hell is he marrying you for?

738
00:40:41,920 --> 00:40:46,520
Speaker 1: Or that she was engaged? So yeah, really cool, really cool. Yeah,

739
00:40:46,600 --> 00:40:51,440
Speaker 1: it seems like there's just an unending reservoir of just

740
00:40:51,600 --> 00:40:55,120
Speaker 1: horrible ship this guys. I mean, he he is just

741
00:40:56,200 --> 00:40:58,560
Speaker 1: But that's the thing, man, with these That's why you

742
00:40:58,600 --> 00:41:01,080
Speaker 1: should if you're a billionaire, you should not be able

743
00:41:01,120 --> 00:41:05,399
Speaker 1: to run for office. You have left earth. You are

744
00:41:05,480 --> 00:41:09,200
Speaker 1: not you are not on earth anymore. You can I

745
00:41:09,280 --> 00:41:11,200
Speaker 1: even think of how much my life changed when I

746
00:41:11,200 --> 00:41:14,799
Speaker 1: went from having not having a job to having a job.

747
00:41:15,080 --> 00:41:17,080
Speaker 1: Did you feel like you were like bawling out of control. Yes,

748
00:41:17,880 --> 00:41:19,759
Speaker 1: I was like, oh watch me, watch me get this

749
00:41:19,840 --> 00:41:22,200
Speaker 1: big gass drink at the movie. I'm totally putting my

750
00:41:22,200 --> 00:41:26,520
Speaker 1: fete like I'm living big now. Just you know, and

751
00:41:26,520 --> 00:41:29,400
Speaker 1: that any time you get a little bit of mobility

752
00:41:29,440 --> 00:41:33,320
Speaker 1: upward mobility, your lifestyle changes, inevitably, your values changed somewhat

753
00:41:33,520 --> 00:41:35,360
Speaker 1: or or what what's important? You can change some what

754
00:41:35,640 --> 00:41:37,839
Speaker 1: But when you keep moving up and up, and when

755
00:41:37,840 --> 00:41:42,040
Speaker 1: you get to the billions, Yeah, it's just you've never

756
00:41:42,160 --> 00:41:44,759
Speaker 1: you've never ridden, you're not on the subway, you've never

757
00:41:44,800 --> 00:41:47,680
Speaker 1: been shoulder to shoulder with somebody. But might be completely

758
00:41:47,680 --> 00:41:49,799
Speaker 1: different than you are, completely different classes and you you're not.

759
00:41:50,120 --> 00:41:51,520
Speaker 1: Every time you get in a car, you have the

760
00:41:51,560 --> 00:41:53,920
Speaker 1: same driver, you got tinted windows, you have to look

761
00:41:53,920 --> 00:41:55,960
Speaker 1: anybody in there. You get out, someone greets you, go

762
00:41:56,000 --> 00:41:57,799
Speaker 1: immediately to whatever space you need to be in. You

763
00:41:57,800 --> 00:41:59,560
Speaker 1: go to whatever private dining room we're gonna be in.

764
00:41:59,560 --> 00:42:02,040
Speaker 1: The peep will you interact with in a service capacity

765
00:42:02,239 --> 00:42:04,920
Speaker 1: might as well be avatars and not real people. So

766
00:42:05,000 --> 00:42:08,880
Speaker 1: you begin that should you're in another dimension of existence.

767
00:42:09,200 --> 00:42:10,680
Speaker 1: And I think and that shows with a lot of

768
00:42:10,719 --> 00:42:14,360
Speaker 1: these people because they are unable to like reconnect to

769
00:42:14,480 --> 00:42:19,439
Speaker 1: what that real human experiences of toiling under capitalism and

770
00:42:19,719 --> 00:42:21,680
Speaker 1: maybe not having the time to do all these things

771
00:42:21,680 --> 00:42:23,319
Speaker 1: that you'd like to do or what you're able to do.

772
00:42:23,360 --> 00:42:26,640
Speaker 1: And whereas he would describe it, he's really a victim

773
00:42:26,719 --> 00:42:30,080
Speaker 1: of the way other people are treating him because he's

774
00:42:30,200 --> 00:42:35,040
Speaker 1: just self preservation. They won't treat him like a normal person.

775
00:42:35,120 --> 00:42:37,960
Speaker 1: So I mean, what's he's supposed to do? All right,

776
00:42:38,000 --> 00:42:40,000
Speaker 1: We're gonna take another quick break, we'll be right back,

777
00:42:50,200 --> 00:42:54,080
Speaker 1: and we're back. And so there was a study that

778
00:42:54,280 --> 00:42:59,719
Speaker 1: was apparently very widely cited among right wing people. Jordan

779
00:42:59,800 --> 00:43:03,200
Speaker 1: p Person uh did a whole video about it, and

780
00:43:04,000 --> 00:43:07,400
Speaker 1: right wing think tanks were all about it. Um. The

781
00:43:07,480 --> 00:43:11,879
Speaker 1: studies seemed to suggest that women in progressive societies went

782
00:43:12,520 --> 00:43:17,640
Speaker 1: into STEM fields even less than women in less progressive society.

783
00:43:17,760 --> 00:43:22,400
Speaker 1: So basically, if women's rights were protected, they went into

784
00:43:22,440 --> 00:43:26,120
Speaker 1: STEM fields even less. And so the idea is basically

785
00:43:26,239 --> 00:43:30,720
Speaker 1: like these progressives, like their values are just enforcing something

786
00:43:31,200 --> 00:43:34,560
Speaker 1: that disagrees with the natural law and the natural law

787
00:43:34,600 --> 00:43:41,440
Speaker 1: as women aren't interested in science. And a Harvard science historian, uh, so,

788
00:43:41,560 --> 00:43:44,879
Speaker 1: like the most qualified person to look into this sort

789
00:43:44,880 --> 00:43:49,200
Speaker 1: of thing, uh, Jordan Peterson, No, not Jordan Peterson, uh

790
00:43:49,520 --> 00:43:53,080
Speaker 1: looked at the study and found that the study authors

791
00:43:53,200 --> 00:43:56,239
Speaker 1: used a very selective set of data to produce a

792
00:43:56,360 --> 00:44:00,000
Speaker 1: contrived and distorted picture of the global distribution of women

793
00:44:00,040 --> 00:44:03,480
Speaker 1: and STEM achievement. So huh yeah, and they were just

794
00:44:03,520 --> 00:44:05,839
Speaker 1: like raw rying on that thing, like that's those are

795
00:44:05,840 --> 00:44:10,160
Speaker 1: the facts, man feelings, those facts, but that I've manipulated

796
00:44:10,200 --> 00:44:12,560
Speaker 1: to say. It's like, but I wonder how many minds

797
00:44:12,560 --> 00:44:14,799
Speaker 1: will change. It's almost like that the fucking anti vac

798
00:44:14,880 --> 00:44:16,960
Speaker 1: ship where people are like, oh, yeah, the autism thing.

799
00:44:17,000 --> 00:44:21,680
Speaker 1: When that's completely debunked, it's like, well, um, there's other

800
00:44:21,680 --> 00:44:24,200
Speaker 1: stuff too, like you know what I mean, like what

801
00:44:24,280 --> 00:44:26,759
Speaker 1: happens when your biggest card is taken from once. I

802
00:44:26,760 --> 00:44:29,359
Speaker 1: feel like once these bunk studies are like out there

803
00:44:29,360 --> 00:44:31,480
Speaker 1: in the ether, it's so hard to even have any

804
00:44:31,520 --> 00:44:34,760
Speaker 1: kind of retraction or reflection on them. They just become

805
00:44:34,880 --> 00:44:37,760
Speaker 1: part Like I guarantee you will see this bunk study

806
00:44:38,239 --> 00:44:41,239
Speaker 1: um cited in like online arguments from now Bill the

807
00:44:41,320 --> 00:44:42,759
Speaker 1: End of Time. Like, once it's out there, I think

808
00:44:42,760 --> 00:44:46,560
Speaker 1: it's out there, it becomes part of like the conscious

809
00:44:46,560 --> 00:44:49,600
Speaker 1: answer something. And I think pointing out that it's debunked

810
00:44:49,920 --> 00:44:53,880
Speaker 1: just causes people to pivot. Really, there's never like oh

811
00:44:54,120 --> 00:44:57,600
Speaker 1: it was debunked because I don't think it's about the study.

812
00:44:57,640 --> 00:45:00,279
Speaker 1: I don't think it's about like the data, the number birds.

813
00:45:00,280 --> 00:45:02,279
Speaker 1: I think it's about something else. It's about making this

814
00:45:02,360 --> 00:45:05,080
Speaker 1: like cultural argument that they're so sure it is right

815
00:45:05,120 --> 00:45:07,239
Speaker 1: that it really doesn't matter whether or not that's one

816
00:45:07,280 --> 00:45:10,839
Speaker 1: study wasn't But I'm sure for like young people who

817
00:45:10,840 --> 00:45:13,720
Speaker 1: are still like trying to figure out how the world works,

818
00:45:13,800 --> 00:45:16,880
Speaker 1: you know, like like I could see them being swung

819
00:45:16,960 --> 00:45:20,480
Speaker 1: by some ship like this. So uh well, it's like,

820
00:45:20,520 --> 00:45:22,480
Speaker 1: I mean, that's what's scary about Jordan Peter something. I

821
00:45:22,480 --> 00:45:26,239
Speaker 1: think that's where you again, it's it's about you know,

822
00:45:26,280 --> 00:45:28,560
Speaker 1: like you're saying, Bridget, it's not even that they care

823
00:45:28,600 --> 00:45:30,799
Speaker 1: about this study. It's just that everyone has a world

824
00:45:30,880 --> 00:45:34,120
Speaker 1: view they're trying to reinforce. Some people are more rigid

825
00:45:34,239 --> 00:45:38,319
Speaker 1: about being able to, you know, reflect and analyze their

826
00:45:38,360 --> 00:45:41,759
Speaker 1: own perspective. And I think if you're not, the debunking

827
00:45:41,800 --> 00:45:45,160
Speaker 1: doesn't mean anything. The second it enters your consciousness, it's like,

828
00:45:45,239 --> 00:45:48,480
Speaker 1: and you're you just need that to reinforce whatever your

829
00:45:48,480 --> 00:45:50,560
Speaker 1: reality is. It's like, well, if I give that up,

830
00:45:51,280 --> 00:45:54,200
Speaker 1: my reality is not really exactly and then and then

831
00:45:54,239 --> 00:45:56,960
Speaker 1: what do I do know? So women film like science,

832
00:45:57,800 --> 00:45:59,920
Speaker 1: I'll just go with that. Yeah, it takes a lot

833
00:46:00,040 --> 00:46:04,359
Speaker 1: to work to refigure things out for yourself. Um. Well,

834
00:46:04,480 --> 00:46:08,000
Speaker 1: In good news for the Trump administration, they are bringing

835
00:46:08,400 --> 00:46:11,319
Speaker 1: his nurse back into the White House. Okay, So when

836
00:46:11,360 --> 00:46:13,279
Speaker 1: I read this right that Hope Hicks was coming back

837
00:46:13,280 --> 00:46:14,840
Speaker 1: to the White House, this is what I said. Trump's

838
00:46:14,880 --> 00:46:18,240
Speaker 1: former communications director will work in Trump's son in law

839
00:46:18,320 --> 00:46:21,800
Speaker 1: and senior advisor Jared Kushner's office at the White House.

840
00:46:22,239 --> 00:46:25,120
Speaker 1: I'm like, what, So she's working in shady Jared's office.

841
00:46:25,760 --> 00:46:29,359
Speaker 1: I'm like, he is. His mental health is completely going

842
00:46:29,360 --> 00:46:32,400
Speaker 1: off the rails. This is not she She offers nothing

843
00:46:32,400 --> 00:46:37,000
Speaker 1: strategically to them. She her Trump whisper. Her greatest skill

844
00:46:37,120 --> 00:46:40,440
Speaker 1: to that administration was like he listened to her and

845
00:46:40,560 --> 00:46:43,200
Speaker 1: she was able to control some of his impulses. And

846
00:46:43,239 --> 00:46:45,400
Speaker 1: like you're saying, called her the Trump whisper. She was

847
00:46:45,440 --> 00:46:50,080
Speaker 1: at Fox making money. Okay, she was the fucking executive

848
00:46:50,120 --> 00:46:54,879
Speaker 1: president and chief communications officer at Fox, so pretty big

849
00:46:54,920 --> 00:46:57,759
Speaker 1: media company. Yeah, you know what I mean. And at

850
00:46:57,800 --> 00:47:00,040
Speaker 1: some point and suddenly they're like she's going back to

851
00:47:00,160 --> 00:47:03,799
Speaker 1: the White House. That must have been them begging her

852
00:47:03,920 --> 00:47:07,600
Speaker 1: to be like it's getting bad. You know, you're one

853
00:47:07,640 --> 00:47:09,520
Speaker 1: of the few people that can talk to him. Were

854
00:47:09,600 --> 00:47:12,400
Speaker 1: really worried about this, Please come back, because what's in

855
00:47:12,400 --> 00:47:15,040
Speaker 1: it for her? I mean, like why, like why else

856
00:47:15,080 --> 00:47:16,640
Speaker 1: would she do this. It doesn't make sense as a

857
00:47:16,680 --> 00:47:19,719
Speaker 1: career move for for someone like her. It really makes

858
00:47:19,719 --> 00:47:21,680
Speaker 1: no sense other than what you're laying out. That is

859
00:47:21,920 --> 00:47:25,759
Speaker 1: literally a step backward. Yeah, stem going to go right

860
00:47:25,800 --> 00:47:27,760
Speaker 1: back to what I was doing before that. I left

861
00:47:28,000 --> 00:47:31,640
Speaker 1: that I wanted to go because it wasn't working out. Yeah,

862
00:47:31,640 --> 00:47:35,200
Speaker 1: it was backdrop of the Mueller investigation. How she was

863
00:47:35,200 --> 00:47:37,120
Speaker 1: like caught up in a few different things. That was

864
00:47:37,160 --> 00:47:39,040
Speaker 1: just just like, you know what, maybe I'm I don't

865
00:47:39,040 --> 00:47:42,600
Speaker 1: really want to do this, but you know, some people,

866
00:47:43,280 --> 00:47:46,960
Speaker 1: uh think that you know that this has nothing to

867
00:47:47,000 --> 00:47:50,440
Speaker 1: do with his mental state, But when you see, like

868
00:47:50,640 --> 00:47:53,799
Speaker 1: you know, there are more and more reports and whispers

869
00:47:54,160 --> 00:47:55,920
Speaker 1: like I don't know how founded they are, but when

870
00:47:55,920 --> 00:47:59,759
Speaker 1: you see him speaking, clearly his vocabulary has been diminished

871
00:48:00,160 --> 00:48:02,080
Speaker 1: um over the last couple of years. No, that's just

872
00:48:02,280 --> 00:48:05,960
Speaker 1: because he's becoming a better public He's going to communicate

873
00:48:06,280 --> 00:48:10,320
Speaker 1: efficiency of words. Yeah, okay, but I'm to me, that's

874
00:48:10,480 --> 00:48:12,640
Speaker 1: what I really I mean, the only value I really

875
00:48:12,680 --> 00:48:14,840
Speaker 1: see how Picks offering the White House is her ability

876
00:48:14,920 --> 00:48:19,960
Speaker 1: to communicate with the president. At at best, they need

877
00:48:20,040 --> 00:48:23,319
Speaker 1: somebody who can communicate with him still. At worst, they

878
00:48:23,360 --> 00:48:26,719
Speaker 1: maybe think that she can maybe get him across the

879
00:48:26,719 --> 00:48:29,560
Speaker 1: finish line for some of these like for this campaign

880
00:48:29,760 --> 00:48:33,480
Speaker 1: or something, just because of their relationships. I don't know.

881
00:48:34,080 --> 00:48:36,840
Speaker 1: And also like, you know, why isn't she in jails?

882
00:48:37,120 --> 00:48:40,560
Speaker 1: Really good question. I remember when she was being questioned

883
00:48:40,680 --> 00:48:42,799
Speaker 1: a lot of the media, We're like, oh, well, she's

884
00:48:42,800 --> 00:48:45,080
Speaker 1: just the framing was She's just a young girl who

885
00:48:45,160 --> 00:48:48,680
Speaker 1: got caught up like party, like really, like, I mean,

886
00:48:49,200 --> 00:48:51,520
Speaker 1: we're contemporaries. No one if I did if I like

887
00:48:52,040 --> 00:48:53,960
Speaker 1: did something wrong in my job or was like a

888
00:48:54,000 --> 00:48:57,319
Speaker 1: party to something like wrong, Yeah, no one will be like, oh, well,

889
00:48:57,320 --> 00:48:59,200
Speaker 1: she's just a poor kid who got didn't know what

890
00:48:59,239 --> 00:49:01,400
Speaker 1: she was getting into over her head. Like why do

891
00:49:01,440 --> 00:49:04,560
Speaker 1: people kind of project that onto her? I think because

892
00:49:04,560 --> 00:49:07,640
Speaker 1: she was pretty Yeah, And I think there's still like

893
00:49:07,680 --> 00:49:10,799
Speaker 1: just this thing of like they just want to act like, oh,

894
00:49:10,880 --> 00:49:13,440
Speaker 1: maybe she didn't have any agency in this and it

895
00:49:13,520 --> 00:49:15,160
Speaker 1: was caught up in this thing. But it's like she

896
00:49:15,600 --> 00:49:18,840
Speaker 1: knew what it was when she signed up. She's you know,

897
00:49:19,080 --> 00:49:20,879
Speaker 1: part of the job is to lie. She helped lie

898
00:49:20,920 --> 00:49:23,399
Speaker 1: for the president that came with it. And I don't

899
00:49:23,400 --> 00:49:26,520
Speaker 1: think there's anything I don't see anything about her experience

900
00:49:26,520 --> 00:49:28,640
Speaker 1: there that would be like, oh, she's a victim here.

901
00:49:29,040 --> 00:49:31,359
Speaker 1: I also think it was like at a time when

902
00:49:31,760 --> 00:49:36,440
Speaker 1: communications were occupied by Sarah Sanders and her and people

903
00:49:36,480 --> 00:49:39,320
Speaker 1: were just like, well, anything is better than Sarah Sanders.

904
00:49:39,600 --> 00:49:41,840
Speaker 1: Like but at this point just like quiet and behind

905
00:49:41,840 --> 00:49:43,680
Speaker 1: the scene. Yeah, but there's no need for a comms

906
00:49:43,680 --> 00:49:46,960
Speaker 1: team anymore. Like we've seen what the method is now

907
00:49:46,960 --> 00:49:49,440
Speaker 1: at the White House, Like we don't talk to Hogan

908
00:49:49,480 --> 00:49:51,800
Speaker 1: Gidley will come out and like say some weird stuff

909
00:49:51,800 --> 00:49:54,520
Speaker 1: in his fancy new coat and then you know, funk

910
00:49:54,560 --> 00:49:58,040
Speaker 1: off into the darkness. But I don't know who Hogan

911
00:49:58,080 --> 00:50:00,719
Speaker 1: Gidley is, but I'm picturing somebody with like fur of

912
00:50:00,760 --> 00:50:04,480
Speaker 1: some sort or like he was wearing suring a cat's character. No,

913
00:50:04,640 --> 00:50:08,400
Speaker 1: he is like the new you know, comms guy um

914
00:50:08,440 --> 00:50:12,520
Speaker 1: and press secretary. But he was wearing this jacket. It

915
00:50:12,600 --> 00:50:15,640
Speaker 1: looked like something Olivia Pope would wear in like scandal.

916
00:50:16,920 --> 00:50:21,439
Speaker 1: Oh my god, this dude definitely thinks he's Olivia Pope's Pope.

917
00:50:21,719 --> 00:50:23,640
Speaker 1: When I saw that this one, I'm like, you think

918
00:50:23,680 --> 00:50:27,440
Speaker 1: you're actually was like starving in the mirror that morning.

919
00:50:27,440 --> 00:50:29,480
Speaker 1: I wish I could see this code like he was

920
00:50:29,520 --> 00:50:36,560
Speaker 1: definitely styling himself in the mirror, being like, yeah, better

921
00:50:36,560 --> 00:50:45,000
Speaker 1: watch out Hogan. Yeah, yeah, damn. But he's just like

922
00:50:45,040 --> 00:50:47,160
Speaker 1: you know, but it's a look. He just goes out

923
00:50:47,200 --> 00:50:48,680
Speaker 1: and says what he has to say. He has you

924
00:50:48,680 --> 00:50:50,520
Speaker 1: can tell he has no soul in his eyes. It's

925
00:50:50,640 --> 00:50:53,960
Speaker 1: even more of a look when it's tied up. Oh

926
00:50:54,080 --> 00:50:56,160
Speaker 1: is that the photo with him and Sarah s Andrew's Yeah,

927
00:50:56,200 --> 00:50:58,480
Speaker 1: I like it better open. Yeah, it looks better like

928
00:50:58,560 --> 00:51:02,120
Speaker 1: he definitely had it like perfect lee opened. Yeah. I

929
00:51:02,160 --> 00:51:05,080
Speaker 1: think that his like press spray was delayed for a

930
00:51:05,080 --> 00:51:09,960
Speaker 1: few minutes because the collar wasn't standing. The Astros, I

931
00:51:10,000 --> 00:51:17,239
Speaker 1: guess their owner or president, Jim something Crane. Jim Crane, Yeah,

932
00:51:17,280 --> 00:51:21,600
Speaker 1: I don't. This guy just seems like a complete asshole.

933
00:51:21,640 --> 00:51:24,440
Speaker 1: But so they he was like, well, we're certainly going

934
00:51:24,480 --> 00:51:27,480
Speaker 1: to address this with our team when we start spring training.

935
00:51:27,920 --> 00:51:31,399
Speaker 1: The cheating. Yeah, address the cheating and like come out

936
00:51:31,440 --> 00:51:35,360
Speaker 1: with a statement as an organization where they addressed the

937
00:51:35,400 --> 00:51:39,319
Speaker 1: fact that they had They basically used sign stealing and

938
00:51:39,360 --> 00:51:41,319
Speaker 1: then when they knew a change up or an off

939
00:51:41,320 --> 00:51:44,520
Speaker 1: speed pitch was coming, they would bang on a trash

940
00:51:44,560 --> 00:51:47,279
Speaker 1: can to communicate or some people had buzzers on them.

941
00:51:47,400 --> 00:51:49,480
Speaker 1: People had buzzs. They get a vibration to know what

942
00:51:49,520 --> 00:51:51,719
Speaker 1: that what pitch was coming. And when you look at

943
00:51:51,800 --> 00:51:54,920
Speaker 1: how they hit at home versus how they hit on

944
00:51:54,960 --> 00:51:57,239
Speaker 1: the road, it was apparently easier for them to do

945
00:51:57,280 --> 00:52:02,120
Speaker 1: it at home. Uh, it's just statistically anomalous, Like it

946
00:52:02,160 --> 00:52:07,840
Speaker 1: couldn't it would make no sense statistically if there weren't

947
00:52:07,960 --> 00:52:11,080
Speaker 1: some explanation for why they were so much better at home.

948
00:52:11,160 --> 00:52:15,360
Speaker 1: And this is the explanation. Uh. And they also, like

949
00:52:15,400 --> 00:52:18,719
Speaker 1: when you look at the players before and after this

950
00:52:18,920 --> 00:52:23,160
Speaker 1: whole system like started happening, it's they just like got miraculously,

951
00:52:23,320 --> 00:52:28,160
Speaker 1: like shockingly better. There's a chart on eight where it

952
00:52:28,160 --> 00:52:31,600
Speaker 1: shows like how teams improved from two thousand sixteen to

953
00:52:31,719 --> 00:52:34,000
Speaker 1: two thousand seventeen. When they started doing it, they had

954
00:52:34,000 --> 00:52:37,359
Speaker 1: the biggest jump. Oh. They it's like they're not even

955
00:52:37,400 --> 00:52:39,640
Speaker 1: on the same chart as the other teams. It's like

956
00:52:40,080 --> 00:52:43,799
Speaker 1: it makes no sense whatsoever. Um. So, with all of

957
00:52:43,840 --> 00:52:47,000
Speaker 1: that in mind, you know, Jim Crane and the powers

958
00:52:47,080 --> 00:52:49,439
Speaker 1: that be at the ASTROS organization, We're gonna sit down

959
00:52:49,440 --> 00:52:52,840
Speaker 1: with the players and you know, figure out how to

960
00:52:52,880 --> 00:52:57,600
Speaker 1: address this, how to express their remorse make amends. Uh,

961
00:52:58,080 --> 00:53:01,600
Speaker 1: just kidding. He had a press conference where he was like,

962
00:53:01,719 --> 00:53:03,799
Speaker 1: we talked it over, we don't think it had any

963
00:53:03,800 --> 00:53:08,560
Speaker 1: impact on the competition. People were like, wait, so what

964
00:53:08,600 --> 00:53:11,759
Speaker 1: are you apologizing for and he was like, well, we

965
00:53:11,840 --> 00:53:15,719
Speaker 1: do apologize that we broke the rules. And then the

966
00:53:15,800 --> 00:53:18,839
Speaker 1: reporter was like, but isn't sign stealing a distinct advantage?

967
00:53:19,160 --> 00:53:22,080
Speaker 1: How could it not impact the competition? He said, it

968
00:53:22,120 --> 00:53:27,000
Speaker 1: could impact it. It could not impact it. Jesus fucking Christ.

969
00:53:27,120 --> 00:53:30,960
Speaker 1: Our opinion is that this didn't impact the game. They

970
00:53:31,000 --> 00:53:33,480
Speaker 1: need and then fifty five seconds later, I didn't say

971
00:53:33,520 --> 00:53:40,319
Speaker 1: it didn't impact the game. It was just almost kind

972
00:53:40,320 --> 00:53:44,120
Speaker 1: of respect it. Other quotes, I don't think I should

973
00:53:44,120 --> 00:53:47,239
Speaker 1: be held accountable, which is always just a good thing

974
00:53:47,280 --> 00:53:49,839
Speaker 1: to say out loud, like just put somebody else out

975
00:53:49,840 --> 00:53:52,959
Speaker 1: there like I shouldn't be me. Opinion is this didn't

976
00:53:52,960 --> 00:53:55,120
Speaker 1: impact the game. We had a good team, we won

977
00:53:55,160 --> 00:53:57,920
Speaker 1: the World Series, and we'll leave it at that. Somebody

978
00:53:58,000 --> 00:54:02,160
Speaker 1: please sir, we will not Somebody please sue over this.

979
00:54:02,800 --> 00:54:05,320
Speaker 1: I don't know what the fun like this is absurd.

980
00:54:05,680 --> 00:54:08,920
Speaker 1: That was the most frustrating World Series to be rooting

981
00:54:08,960 --> 00:54:12,520
Speaker 1: against a Dodger fan Man I know people who threw

982
00:54:12,560 --> 00:54:16,640
Speaker 1: their nearly their lives away and buying tickets to those games,

983
00:54:16,680 --> 00:54:20,200
Speaker 1: went to Game seven only to be just get your

984
00:54:20,360 --> 00:54:23,640
Speaker 1: spirit ripped out of your body and thrown into Chado's ravine.

985
00:54:23,960 --> 00:54:27,120
Speaker 1: How are they responding to this news? I can only

986
00:54:27,080 --> 00:54:30,520
Speaker 1: imatter fuming. But it's weird. There's also this thing. It's like, well,

987
00:54:30,560 --> 00:54:32,880
Speaker 1: we don't want an asterisk win, right, you know, like

988
00:54:32,880 --> 00:54:34,919
Speaker 1: it would have felt better. But at the same time,

989
00:54:34,920 --> 00:54:37,799
Speaker 1: there needs to be justice on some level, and not

990
00:54:37,840 --> 00:54:39,960
Speaker 1: just from the l A City Council with their you know,

991
00:54:40,200 --> 00:54:44,520
Speaker 1: developer shill council members being like, oh, we think we're

992
00:54:44,640 --> 00:54:47,479
Speaker 1: this is a resolution that says Major League Baseball should

993
00:54:47,520 --> 00:54:50,160
Speaker 1: give the Dodgers the win. No, we need something, We

994
00:54:50,200 --> 00:54:53,520
Speaker 1: need something real here. But the irony of it too

995
00:54:53,600 --> 00:54:56,040
Speaker 1: is this part of me is like you, I don't

996
00:54:56,080 --> 00:54:58,080
Speaker 1: care if people are signed stealing in a way, if

997
00:54:58,080 --> 00:55:00,239
Speaker 1: you're using like your eyes, like sure you got someone

998
00:55:00,280 --> 00:55:02,840
Speaker 1: on second, that's just like some human ship that you

999
00:55:02,880 --> 00:55:04,520
Speaker 1: happen to catch and you got to figure that out

1000
00:55:04,520 --> 00:55:07,080
Speaker 1: because that's just in view camera. Yeah, when you bring

1001
00:55:07,120 --> 00:55:09,560
Speaker 1: in technology, buzzers, because the funny part was when they

1002
00:55:09,640 --> 00:55:12,239
Speaker 1: asked Pete Rose, you know, who's banned for life for

1003
00:55:12,320 --> 00:55:14,960
Speaker 1: gambling on his own team and just other games that

1004
00:55:14,960 --> 00:55:17,640
Speaker 1: were going on. Uh that Like he was like, He's like,

1005
00:55:17,640 --> 00:55:22,200
Speaker 1: what's the big deal When everyone was like, no, Pete,

1006
00:55:22,360 --> 00:55:25,200
Speaker 1: this is your chance to say, yeah, funk that. I

1007
00:55:25,320 --> 00:55:28,160
Speaker 1: just bet He's like, I never changed the outcomes of games.

1008
00:55:28,200 --> 00:55:31,160
Speaker 1: I just have like I was gambling at it. Yeah,

1009
00:55:31,520 --> 00:55:33,319
Speaker 1: And it was just like he keeps it so real

1010
00:55:33,360 --> 00:55:35,920
Speaker 1: in a way that it's like when a lot of

1011
00:55:35,920 --> 00:55:39,000
Speaker 1: people were like, Pete Roe should be back in major

1012
00:55:39,120 --> 00:55:41,839
Speaker 1: League Baseball if he's if they're allowing this to just

1013
00:55:41,920 --> 00:55:45,359
Speaker 1: go on, especially with like these kinds of like one

1014
00:55:45,480 --> 00:55:48,239
Speaker 1: year bands and ship like that. But hey, you know,

1015
00:55:48,719 --> 00:55:51,800
Speaker 1: we don't make the rules. The rich white guys do. Um.

1016
00:55:51,840 --> 00:55:55,319
Speaker 1: All right, finally, let's talk about the Escobar too. This

1017
00:55:55,400 --> 00:55:59,720
Speaker 1: is the funniest ship to me. Pablo Escobar's brother Okay,

1018
00:56:00,200 --> 00:56:05,840
Speaker 1: the fucking the drug king Pim, Pablo Escobar, his brother Roberto, Uh,

1019
00:56:06,160 --> 00:56:10,120
Speaker 1: huge fucking tech maven. Okay, he is like he's all in.

1020
00:56:10,239 --> 00:56:12,359
Speaker 1: He's trying to design all kinds of phones and ship

1021
00:56:12,480 --> 00:56:16,440
Speaker 1: right now. He's the new Esteban as I would say,

1022
00:56:16,600 --> 00:56:21,759
Speaker 1: Steve Chops from my bilingual speakers. So he's he wants

1023
00:56:21,800 --> 00:56:25,520
Speaker 1: to make this new device called the Escobar Fold two,

1024
00:56:25,800 --> 00:56:28,279
Speaker 1: and it's a foldable cell phone. It's a knockoff of

1025
00:56:28,320 --> 00:56:31,960
Speaker 1: the Galaxy fold phone, like a terrible knockoff, but it's

1026
00:56:32,000 --> 00:56:35,480
Speaker 1: just rebranded with like a like a Pablo Escobar golden

1027
00:56:35,520 --> 00:56:38,160
Speaker 1: monogram on the back. The kinds of ship that his

1028
00:56:38,239 --> 00:56:40,680
Speaker 1: brother has done. Just along the way here, he threatened

1029
00:56:40,719 --> 00:56:44,239
Speaker 1: to sue Elon Musk for allegedly stealing his idea for

1030
00:56:44,320 --> 00:56:48,880
Speaker 1: the that flamethrower and demanded one billion dollars from Netflix,

1031
00:56:48,960 --> 00:56:52,200
Speaker 1: also over the show about his brother. Um. And then

1032
00:56:52,440 --> 00:56:54,799
Speaker 1: like Ben so like in December, he's like, live, I've

1033
00:56:54,840 --> 00:56:57,920
Speaker 1: got this like revolutionary phone. It's going to sell for

1034
00:56:57,960 --> 00:57:01,279
Speaker 1: a thousand dollars less than the like then the like

1035
00:57:01,320 --> 00:57:04,120
Speaker 1: the biggest one out there. Um. And he said, I

1036
00:57:04,160 --> 00:57:06,960
Speaker 1: have told many people that I would beat Apple and

1037
00:57:07,040 --> 00:57:11,239
Speaker 1: I will, oh okay um. And then so this phone

1038
00:57:11,280 --> 00:57:16,120
Speaker 1: comes out. It's apparently a based off the Royal Flex

1039
00:57:16,160 --> 00:57:19,080
Speaker 1: Pie or something. It's basically a knockoff. Um. But when

1040
00:57:19,080 --> 00:57:22,000
Speaker 1: they people were like trying to buy it, they only

1041
00:57:22,040 --> 00:57:25,320
Speaker 1: got all kinds of like headaches from it. Uh, they

1042
00:57:25,320 --> 00:57:27,960
Speaker 1: said that like they took the three forty nine that

1043
00:57:28,040 --> 00:57:31,440
Speaker 1: these people were paying for the phones and then just

1044
00:57:31,480 --> 00:57:33,880
Speaker 1: didn't deliver when they were supposed to, and some people

1045
00:57:34,040 --> 00:57:36,880
Speaker 1: when they did like get something in the mail. It

1046
00:57:36,960 --> 00:57:42,120
Speaker 1: was a fucking book written by Roberto Escobar with the

1047
00:57:42,200 --> 00:57:47,240
Speaker 1: title I made billions selling coke. Now my smartphones will

1048
00:57:47,320 --> 00:57:51,320
Speaker 1: destroy Apple and Samsung. That's what they got instead of

1049
00:57:51,320 --> 00:57:55,080
Speaker 1: an actual phone, Yes, the equivalent. I mean, that's actually

1050
00:57:55,120 --> 00:57:58,160
Speaker 1: to be fair that that title of a book is

1051
00:57:58,200 --> 00:58:02,400
Speaker 1: basically a cocaine right, that's okay, story exactly. That is

1052
00:58:02,520 --> 00:58:08,360
Speaker 1: big cocaine, smartphone destroy Apple and Samsung. Man, were the

1053
00:58:08,480 --> 00:58:12,400
Speaker 1: most cocaine thing that I've ever heard. Yeah, I made billions,

1054
00:58:12,520 --> 00:58:19,000
Speaker 1: normous title, I made billions. Now, my what's the pivot there? Now?

1055
00:58:19,040 --> 00:58:22,560
Speaker 1: My smartphones will destroy Apple and Samsung. It's the other

1056
00:58:22,680 --> 00:58:26,160
Speaker 1: really fantastic part about this is that Mike Bloomberg isn't

1057
00:58:26,160 --> 00:58:29,640
Speaker 1: the only person using his business savvy to get celebrity

1058
00:58:29,680 --> 00:58:33,760
Speaker 1: endorsements for some of his products. He's also like been

1059
00:58:33,840 --> 00:58:37,400
Speaker 1: using cameo to get like cameos, a website where you

1060
00:58:37,400 --> 00:58:41,520
Speaker 1: can pay like washed celebrities like excuse you, yours truly

1061
00:58:41,600 --> 00:58:47,520
Speaker 1: is on cameo if you want to. I mean, yeah,

1062
00:58:47,560 --> 00:58:49,200
Speaker 1: you're doing it the right way. It's when I see

1063
00:58:49,240 --> 00:58:52,600
Speaker 1: people like Bethany Frankel like doing her videos in the

1064
00:58:52,600 --> 00:58:55,560
Speaker 1: back of a van, like, Hey, it's Bethany, I've heard

1065
00:58:55,600 --> 00:58:58,760
Speaker 1: it was your birthday. Happy birthday. Yeah. Um. So all

1066
00:58:58,840 --> 00:59:03,280
Speaker 1: kinds of people are like on here, um, including Corey Lewandowski,

1067
00:59:03,840 --> 00:59:09,200
Speaker 1: Donald Trump's former campaign manager, and somewhat just when you

1068
00:59:09,520 --> 00:59:13,920
Speaker 1: listen to these endorsements, they are they ring so fucking hollow,

1069
00:59:14,000 --> 00:59:16,680
Speaker 1: and they just sound like a cameo video. It's so

1070
00:59:16,720 --> 00:59:21,360
Speaker 1: sad that Lewandowski is on cameo. I feel sorry for him. Like,

1071
00:59:22,040 --> 00:59:26,520
Speaker 1: I mean, so Bethany Frankel like shoots videos in the

1072
00:59:26,560 --> 00:59:30,640
Speaker 1: back of Yes, I bought a cameo by Ramona Singer

1073
00:59:30,680 --> 00:59:33,520
Speaker 1: from Your Household, New York, from my friend's birthday party.

1074
00:59:33,680 --> 00:59:36,640
Speaker 1: And she she did a great job. She seemed a

1075
00:59:36,640 --> 00:59:39,680
Speaker 1: little um. She seemed like she had been enjoying some wine.

1076
00:59:40,840 --> 00:59:45,840
Speaker 1: It was turtle time. I'm I'm fluent, you know what

1077
00:59:45,920 --> 00:59:48,439
Speaker 1: I mean. Wait, what is turtle time? That's what she says.

1078
00:59:48,600 --> 00:59:51,160
Speaker 1: It's like a It's like a little song slash dance

1079
00:59:51,200 --> 00:59:53,680
Speaker 1: that she does when she's like turning up turtle time.

1080
00:59:53,960 --> 00:59:56,600
Speaker 1: It's it's so I never quite got it, but I

1081
00:59:56,640 --> 01:00:00,240
Speaker 1: did enjoy it. So he's going on cameo um and

1082
01:00:00,280 --> 01:00:04,160
Speaker 1: getting some great celebrity endorsements from Korey Lewandowski, Trump's former

1083
01:00:04,200 --> 01:00:07,200
Speaker 1: campaign manager. UM. Let me just I'll just play this

1084
01:00:07,280 --> 01:00:10,360
Speaker 1: Korey Lewandowski one for everybody, just so you can hear

1085
01:00:10,600 --> 01:00:14,600
Speaker 1: how amazing this new revolutionary cell phone is. This is

1086
01:00:15,240 --> 01:00:20,160
Speaker 1: celebrated Snake oil salesman Korey Lewandowski. Hey, this mesters for Roberto. Roberto.

1087
01:00:20,200 --> 01:00:23,680
Speaker 1: It's Korey Lewandowski. I was President Trump's twenty sixteen campaign

1088
01:00:23,680 --> 01:00:28,000
Speaker 1: manager and his current senior adviser. Look all Off reached

1089
01:00:28,000 --> 01:00:29,560
Speaker 1: out to me and I want to just tell you

1090
01:00:29,600 --> 01:00:32,400
Speaker 1: guys that I've seen the new Escobar Full two phone

1091
01:00:32,640 --> 01:00:35,800
Speaker 1: and it's absolutely incredible. So this is just a quick

1092
01:00:35,840 --> 01:00:38,080
Speaker 1: big shout out to you guys that did all the

1093
01:00:38,120 --> 01:00:40,840
Speaker 1: work behind that, and I wish you the very best

1094
01:00:41,080 --> 01:00:43,960
Speaker 1: and all the success in the world. Don't forget vote

1095
01:00:44,000 --> 01:00:48,800
Speaker 1: Donald Trump November. Holy the energy of also like he

1096
01:00:48,840 --> 01:00:52,480
Speaker 1: had a real intense energy. My man did not blink,

1097
01:00:52,840 --> 01:00:56,320
Speaker 1: actually didn't just like he starts off the video from

1098
01:00:56,320 --> 01:00:59,000
Speaker 1: the back and then leans into it. Hey, Roberto, it's

1099
01:00:59,040 --> 01:01:06,680
Speaker 1: me Korey Lewandowski, Camp's Trump pay manager manager himself to him, well,

1100
01:01:07,240 --> 01:01:09,320
Speaker 1: like I just making sure of the check clear, you know,

1101
01:01:09,440 --> 01:01:12,440
Speaker 1: just the audience for who he thinks he's talking to

1102
01:01:12,560 --> 01:01:16,440
Speaker 1: his unclear to me because he's talking to Roberto, but

1103
01:01:16,560 --> 01:01:21,120
Speaker 1: then he's also talking about Roberto's product. Yeah, maybe they'll

1104
01:01:21,240 --> 01:01:24,880
Speaker 1: edit for the thing, I think, because maybe Roberto Escobar

1105
01:01:24,960 --> 01:01:26,720
Speaker 1: smart and be like, well, these Trump people buy sucking

1106
01:01:26,760 --> 01:01:32,000
Speaker 1: anything about Trump branded plastics by anything of Corey Lewandowski

1107
01:01:32,120 --> 01:01:35,400
Speaker 1: is endorsing the fold two, then maybe the lineup. Then

1108
01:01:35,920 --> 01:01:38,120
Speaker 1: we really get to see his whole marketing plan really

1109
01:01:38,120 --> 01:01:41,120
Speaker 1: play out because he also got a cameo video from

1110
01:01:41,200 --> 01:01:44,680
Speaker 1: Chris Hanson from To Catch a Predator. And again I

1111
01:01:44,680 --> 01:01:46,560
Speaker 1: don't know who the marketing team goes. This is who

1112
01:01:46,560 --> 01:01:49,320
Speaker 1: you need, Corey Lewandowski and Chris Hanson from The Catch

1113
01:01:49,320 --> 01:01:51,320
Speaker 1: a Predator And these phones are gonna fly off the shelf.

1114
01:01:51,400 --> 01:01:53,480
Speaker 1: Listen to this one again to it. This one's kind

1115
01:01:53,520 --> 01:01:56,680
Speaker 1: of sad. Hey guys, Chris Hanson here of Hanson versus

1116
01:01:56,680 --> 01:01:59,320
Speaker 1: Predators and the Ketri Predator. I just wanted to tell

1117
01:01:59,400 --> 01:02:02,640
Speaker 1: you all that I've seen this amazing new smartphone called

1118
01:02:02,640 --> 01:02:07,160
Speaker 1: the Escobar Fold Tube. It appears to be the best

1119
01:02:07,200 --> 01:02:10,320
Speaker 1: phone out right now. I've been looking at the transcripts,

1120
01:02:10,480 --> 01:02:14,440
Speaker 1: so have a seat. Check it out, and remember I'll

1121
01:02:14,480 --> 01:02:17,760
Speaker 1: be watching Take Care of Oh my god, he's drunk.

1122
01:02:17,920 --> 01:02:20,160
Speaker 1: I have to say, I don't want to like he

1123
01:02:20,240 --> 01:02:22,800
Speaker 1: has seen better days. Like I did not recognize him.

1124
01:02:23,040 --> 01:02:26,040
Speaker 1: Chris Hanson looks like she looks raw. He looks like

1125
01:02:26,080 --> 01:02:29,320
Speaker 1: he drank a bunch of hotel wine. Is in a

1126
01:02:29,400 --> 01:02:31,680
Speaker 1: hotel room? Is that what the background is? And he

1127
01:02:31,960 --> 01:02:37,480
Speaker 1: doesn't have that kind of design restraint. And it's not

1128
01:02:37,600 --> 01:02:40,439
Speaker 1: that he looks like unkempt, like he just rolled out

1129
01:02:40,440 --> 01:02:43,480
Speaker 1: of bed. He has his hair combed. He just looks bad.

1130
01:02:43,680 --> 01:02:46,680
Speaker 1: He's just listen. He sounds like Joe Namath when he

1131
01:02:46,760 --> 01:02:48,480
Speaker 1: was hitting on Susie Colbert. Listen to this one of

1132
01:02:48,520 --> 01:02:50,880
Speaker 1: these lines he guys Chris Hanson here of Hanson versus

1133
01:02:50,880 --> 01:02:59,160
Speaker 1: Predators and the Ketrip Predator. I just because he's probably

1134
01:02:59,160 --> 01:03:03,959
Speaker 1: blasting through his amos quick. The fact that they would

1135
01:03:03,960 --> 01:03:06,480
Speaker 1: do that for fifty bucks, like that's what all depends.

1136
01:03:06,480 --> 01:03:08,160
Speaker 1: I don't know what Chris Hansen's rates are, but I

1137
01:03:08,240 --> 01:03:10,840
Speaker 1: feel lets you like you pick your own rates are

1138
01:03:10,920 --> 01:03:16,520
Speaker 1: reasonable five dollars, like you will endorse a product. I mean,

1139
01:03:16,600 --> 01:03:19,080
Speaker 1: I think that some people have you figured out that

1140
01:03:19,120 --> 01:03:21,800
Speaker 1: you can because mostly Cameo was like with my friend's birthday,

1141
01:03:21,840 --> 01:03:24,000
Speaker 1: she loves you, you know, say hello, Can I get

1142
01:03:24,040 --> 01:03:26,600
Speaker 1: Debbie Gibson to say exactly exactly? It's like a dumb

1143
01:03:26,640 --> 01:03:29,000
Speaker 1: gift whatever. I think some people have figured out that

1144
01:03:29,040 --> 01:03:32,360
Speaker 1: you can get celebrities to seemingly endorse like your project

1145
01:03:32,400 --> 01:03:34,560
Speaker 1: or your brand or something and like no offense to

1146
01:03:34,600 --> 01:03:36,040
Speaker 1: these people, but a lot of them are too dumb

1147
01:03:36,080 --> 01:03:37,880
Speaker 1: to know the difference. Like there was a thing on

1148
01:03:37,960 --> 01:03:42,200
Speaker 1: Cameo where like Nazis, We're getting celebrities to like say

1149
01:03:42,320 --> 01:03:44,920
Speaker 1: Nazi slogans and they just didn't know. So I think

1150
01:03:44,960 --> 01:03:47,320
Speaker 1: people would realize you can kind of gamify it it.

1151
01:03:47,720 --> 01:03:51,880
Speaker 1: I mean some of these prices, wow, Okay, So for example,

1152
01:03:51,920 --> 01:03:54,840
Speaker 1: Chris Hansen, you can get him for sixty dollars. Feel

1153
01:03:55,080 --> 01:04:04,800
Speaker 1: Michael Rappaport one? What Gilbert Godfried one fifty? Ernie Hudson Okay, Oh,

1154
01:04:04,960 --> 01:04:08,480
Speaker 1: shall I go on flavor flavor to fifties? Sir, I'm not.

1155
01:04:08,520 --> 01:04:11,240
Speaker 1: I don't have time. Tommy Laren you can get for

1156
01:04:11,320 --> 01:04:14,600
Speaker 1: eight oh ship, Yeah, we pulled our money. There's no

1157
01:04:14,680 --> 01:04:17,520
Speaker 1: way that she would say what we want. No, but

1158
01:04:17,560 --> 01:04:19,240
Speaker 1: we would have to do a weird thing where we

1159
01:04:19,240 --> 01:04:21,640
Speaker 1: could like stitch it all together and like a maniacals

1160
01:04:22,640 --> 01:04:25,040
Speaker 1: and just get I mean, she's already debased herself. So yeah,

1161
01:04:25,080 --> 01:04:27,200
Speaker 1: I can't. I can't you get a red Man for one?

1162
01:04:27,200 --> 01:04:28,680
Speaker 1: Fifties shout out to REGGI. No, but one of my

1163
01:04:28,680 --> 01:04:33,480
Speaker 1: favorite rappers. Oh should I might do that? Get this cameo.

1164
01:04:34,000 --> 01:04:35,520
Speaker 1: I'd be lying if I said I already didn't get

1165
01:04:35,560 --> 01:04:39,120
Speaker 1: myself one. This is what I also love. Did you

1166
01:04:39,160 --> 01:04:45,720
Speaker 1: watch Cheer? You remember Jerry if you want Jerry Harris

1167
01:04:48,240 --> 01:04:53,040
Speaker 1: what's it called? When they like would be so dope?

1168
01:04:53,160 --> 01:04:55,560
Speaker 1: And then we remember Mark McGrath when he famously broke

1169
01:04:55,680 --> 01:05:01,480
Speaker 1: up with that one dude that is is the So

1170
01:05:01,720 --> 01:05:05,080
Speaker 1: the title of that book is cocaine in book title form.

1171
01:05:05,240 --> 01:05:08,440
Speaker 1: There's a clip of Mark McGrath on Wendy Williams that

1172
01:05:08,600 --> 01:05:15,120
Speaker 1: is cocaine in like old amazing. It's hard to find

1173
01:05:15,160 --> 01:05:18,360
Speaker 1: though they had it taken down. Damn he is flying

1174
01:05:18,600 --> 01:05:26,960
Speaker 1: Gary Busey three. Yeah. Hey, the market, the market determines

1175
01:05:27,000 --> 01:05:29,200
Speaker 1: the price, you know. Yeah, he's not out here putting

1176
01:05:29,280 --> 01:05:32,640
Speaker 1: it out there at three fifty without getting some buyers.

1177
01:05:33,040 --> 01:05:35,040
Speaker 1: I mean yeah, and you get Randy Jackson from American

1178
01:05:35,040 --> 01:05:37,520
Speaker 1: Anod for two fifty to come to your house in person,

1179
01:05:37,600 --> 01:05:43,600
Speaker 1: yeah and say whatever you want. Or Brian Scalabrini for bucks, wow,

1180
01:05:44,080 --> 01:05:48,680
Speaker 1: Brian Scalabrini. Oh, Andy King from Fire Festival Fame, Damn

1181
01:05:48,720 --> 01:05:54,600
Speaker 1: Korey Lewandowski's only fifty five bucks to me? Yeah, I

1182
01:05:54,600 --> 01:06:00,200
Speaker 1: mean whatever, you know. The Andy King's like the time,

1183
01:06:00,320 --> 01:06:03,560
Speaker 1: the time that he's spending just reading like terrible joke

1184
01:06:03,640 --> 01:06:07,920
Speaker 1: after a terrible joke about him sucking somebody's dick for water,

1185
01:06:08,280 --> 01:06:11,320
Speaker 1: like over and over, and it's like a black mirror.

1186
01:06:11,560 --> 01:06:13,800
Speaker 1: That is like a black mirror where your job is

1187
01:06:13,840 --> 01:06:16,960
Speaker 1: to embarrass yourself into your phone for it's to come back.

1188
01:06:18,720 --> 01:06:22,480
Speaker 1: It is like that has got very dark because you

1189
01:06:22,520 --> 01:06:24,840
Speaker 1: can think about it right to This is sort of

1190
01:06:24,840 --> 01:06:28,320
Speaker 1: like the endgame of celebrity where at a certain point

1191
01:06:28,600 --> 01:06:31,880
Speaker 1: the the markets have done what they have done with you.

1192
01:06:31,960 --> 01:06:34,720
Speaker 1: They they're done with you. You're never no longer present value,

1193
01:06:35,160 --> 01:06:37,959
Speaker 1: and you're just like, well, I'd love to be able

1194
01:06:37,960 --> 01:06:40,880
Speaker 1: to make passive money as best as I can. So

1195
01:06:40,960 --> 01:06:43,600
Speaker 1: now I'm literally just saying I'll say whatever you want

1196
01:06:43,680 --> 01:06:48,120
Speaker 1: for a couple of bucks, so you can laugh at me. Yeah,

1197
01:06:48,200 --> 01:07:01,280
Speaker 1: that's like, can't get hard and then they don't they kick. Yeah,

1198
01:07:01,360 --> 01:07:05,080
Speaker 1: that whole c it was a gay bashing. Yeah, that

1199
01:07:05,120 --> 01:07:08,160
Speaker 1: whole the whole sequence is so dark. Hey shout out

1200
01:07:08,160 --> 01:07:11,120
Speaker 1: to the sand because the character like is then a

1201
01:07:11,240 --> 01:07:14,480
Speaker 1: gay basher, but he's clearly into it when it's happening, right.

1202
01:07:14,640 --> 01:07:17,560
Speaker 1: But yeah, hey we can get Tim Hardaway Senior for

1203
01:07:17,600 --> 01:07:19,520
Speaker 1: fifty bucks. I feel like Tim Hardaway can get a

1204
01:07:19,560 --> 01:07:21,400
Speaker 1: little more than some of these. I feel like they

1205
01:07:21,520 --> 01:07:24,040
Speaker 1: really saw themselves short. Yeah. A couple people I am like,

1206
01:07:24,160 --> 01:07:28,680
Speaker 1: hold on, no, you know Sean Kingston's three hundred dollars. Okay,

1207
01:07:28,760 --> 01:07:32,080
Speaker 1: Well yeah that's interesting. This could I would. I would

1208
01:07:32,080 --> 01:07:34,280
Speaker 1: just listen to a podcast. There's just people going to

1209
01:07:36,680 --> 01:07:39,600
Speaker 1: just an over under on cameo prissly ship Kareem abdul

1210
01:07:39,680 --> 01:07:43,160
Speaker 1: Jabbar five hundred dollars. See that's somebody who knows they're Yeah,

1211
01:07:43,240 --> 01:07:46,520
Speaker 1: that's a legend. That is like a timeless icon. My

1212
01:07:46,600 --> 01:07:49,120
Speaker 1: dad would die if I got like a cameo from

1213
01:07:49,160 --> 01:07:51,760
Speaker 1: him from like a happy birthday, Dad. Here's the guy

1214
01:07:51,760 --> 01:07:55,680
Speaker 1: who scored the most points in the history of NBA basketball. Gosh,

1215
01:07:55,760 --> 01:07:59,640
Speaker 1: that's unbelievable. Um, Bridget, it has been so fun having you.

1216
01:07:59,800 --> 01:08:03,240
Speaker 1: This is we ended this conversation, such a fun place

1217
01:08:04,240 --> 01:08:08,240
Speaker 1: despite just all the bullshit. Um, where can people find you?

1218
01:08:08,280 --> 01:08:11,440
Speaker 1: Follow you here? You? Oh well, you can find me

1219
01:08:11,480 --> 01:08:14,440
Speaker 1: on Instagram at Bridget Marie in d C, on Twitter

1220
01:08:14,520 --> 01:08:18,560
Speaker 1: at Bridget Marie, and on the Afro Punk Solution Sessions podcast. Um,

1221
01:08:18,680 --> 01:08:25,640
Speaker 1: on all your your normal podcast places, Spotify, iTunes, etcetera, etcetera. Muh,

1222
01:08:25,760 --> 01:08:27,800
Speaker 1: and is there a tweet or some other work of

1223
01:08:27,880 --> 01:08:33,040
Speaker 1: social media you've been enjoying? Oh god, what a good question. Um.

1224
01:08:33,040 --> 01:08:37,439
Speaker 1: Probably this picture of Megan the Stallion and Debbie Harry

1225
01:08:37,520 --> 01:08:40,360
Speaker 1: hanging out. It's just a picture, no worse just then,

1226
01:08:40,439 --> 01:08:44,519
Speaker 1: just two queens us, two legends too icons. So I

1227
01:08:44,560 --> 01:08:46,599
Speaker 1: hope they're friends in her life. I'm so glad she

1228
01:08:46,680 --> 01:08:50,400
Speaker 1: wasn't with Oh god, that was just whatever that was.

1229
01:08:50,960 --> 01:08:55,080
Speaker 1: Explain that she didn't she was like, yeah, hung out

1230
01:08:55,240 --> 01:08:56,679
Speaker 1: or was it like one of those Trump things where

1231
01:08:56,720 --> 01:08:58,960
Speaker 1: he'll say some terrible ship out lout everyone gets on him,

1232
01:08:59,000 --> 01:09:01,200
Speaker 1: Like I actually never meant that I ever believe that

1233
01:09:01,680 --> 01:09:05,920
Speaker 1: kind of like I was kind of feeling it. I mean,

1234
01:09:06,320 --> 01:09:11,519
Speaker 1: just go enjoy being. Yeah, you're Megan, This mean you

1235
01:09:11,640 --> 01:09:17,760
Speaker 1: enjoy it? Miles what you've been enjoying? Where could people find? You?

1236
01:09:18,240 --> 01:09:20,200
Speaker 1: Find me on Twitter, Instagram at Miles of Gray and

1237
01:09:20,280 --> 01:09:22,599
Speaker 1: on my other podcast for twenty Day Fiance. What were

1238
01:09:22,600 --> 01:09:26,280
Speaker 1: talking about Day Fiance? Hi? Okay, one of the greatest

1239
01:09:26,320 --> 01:09:29,559
Speaker 1: reality shows of all times. Um, a tweet I like

1240
01:09:29,760 --> 01:09:31,560
Speaker 1: is from Reductress or a couple of tweets I like.

1241
01:09:31,600 --> 01:09:34,559
Speaker 1: The first one is, Oh, friend on hike wants to

1242
01:09:34,680 --> 01:09:39,400
Speaker 1: keep going going hiking this weekend. This is gonna be

1243
01:09:39,520 --> 01:09:43,519
Speaker 1: my life if they find me dead in the National Forest.

1244
01:09:43,600 --> 01:09:46,120
Speaker 1: This is why, because my friend I wanted to keep going.

1245
01:09:45,880 --> 01:09:48,960
Speaker 1: We're all right, beautiful, beaut say your friend's name so

1246
01:09:49,000 --> 01:09:51,680
Speaker 1: we know who to blame. Mike a motto, Wow, let

1247
01:09:51,760 --> 01:09:55,080
Speaker 1: him know you've been put on a tracking Mike. And then, um,

1248
01:09:55,439 --> 01:09:57,439
Speaker 1: and that's always how I feel whenever I've gone hiking

1249
01:09:57,439 --> 01:09:59,559
Speaker 1: too and I'm like, yeah, man, this seems pretty high,

1250
01:09:59,600 --> 01:10:02,080
Speaker 1: like we could probably go back, and they're like, yeah,

1251
01:10:02,080 --> 01:10:04,679
Speaker 1: it's just up there, and that's going to be what's

1252
01:10:04,840 --> 01:10:10,200
Speaker 1: up there? Me? Breathing heavy and like half anyway. Uh.

1253
01:10:10,240 --> 01:10:12,880
Speaker 1: And then one more tweet from Reductress which hit very

1254
01:10:12,880 --> 01:10:16,679
Speaker 1: close to home. Man treats his sneakers with tenderness unknown

1255
01:10:16,760 --> 01:10:28,320
Speaker 1: to girlfriends. Oh my god, that's so dark. Um all right,

1256
01:10:28,800 --> 01:10:35,760
Speaker 1: uh my my favorite word word play. Uh. Tweeter Marissa

1257
01:10:36,400 --> 01:10:39,920
Speaker 1: at Mind of Marissa in marriage counseling therapist, your wife

1258
01:10:39,920 --> 01:10:43,000
Speaker 1: says that you never buy her flowers. Husband. To be honest,

1259
01:10:43,040 --> 01:10:49,280
Speaker 1: I didn't even know she sold flowers. That's fucking good, Mark, Mark,

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01:10:50,640 --> 01:10:54,720
Speaker 1: She's good Man. She's like an amazing gift of just

1261
01:10:54,880 --> 01:10:58,519
Speaker 1: like doing these dumb word word play jokes. And then

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01:10:58,520 --> 01:11:01,200
Speaker 1: Allies the Skinner at Allie As the Skinner tweeted, I'm

1263
01:11:01,240 --> 01:11:05,240
Speaker 1: giving up for lent boom. You can find me on

1264
01:11:05,280 --> 01:11:07,680
Speaker 1: Twitter at Jack Undersquirrel. Brian. You can find us on

1265
01:11:07,720 --> 01:11:11,120
Speaker 1: Twitter at Daily Zeitgeist. Were at the Daily Zeitgeist on Instagram.

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01:11:11,200 --> 01:11:14,080
Speaker 1: We have a Facebook fan page and a website, Daily

1267
01:11:14,200 --> 01:11:17,720
Speaker 1: Zeitgeist dot com, where we post our episodes and our footnotes.

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01:11:18,320 --> 01:11:20,200
Speaker 1: We link off to the information that we talked about

1269
01:11:20,280 --> 01:11:23,639
Speaker 1: today's episode, as well as the song we right out

1270
01:11:23,680 --> 01:11:27,600
Speaker 1: on Miles second today for all the celebratory blunts that

1271
01:11:27,640 --> 01:11:30,639
Speaker 1: were had in Brooklyn. This is an artist, Blunt One,

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01:11:31,000 --> 01:11:35,320
Speaker 1: who is mostly does like really instrumental like jazz hop stuff. Um,

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01:11:35,360 --> 01:11:37,240
Speaker 1: and I always put this on the background when I like,

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01:11:37,240 --> 01:11:38,880
Speaker 1: like make a little coffee in the morning when I

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01:11:39,200 --> 01:11:41,280
Speaker 1: old brew. It's like nice. I like a little bit

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01:11:41,320 --> 01:11:45,920
Speaker 1: of atmospherical sound, instrumental and this writing or doing anything creative. Yeah.

1277
01:11:46,040 --> 01:11:47,599
Speaker 1: So you know, if you go on Spotify like make

1278
01:11:47,920 --> 01:11:50,400
Speaker 1: do blunt one radio or whatever or chill hop whatever

1279
01:11:50,439 --> 01:11:53,479
Speaker 1: you like. This track is called newdon because again, you know,

1280
01:11:53,640 --> 01:11:56,000
Speaker 1: don't let the nihilism creep in and they're coming for you.

1281
01:11:56,200 --> 01:12:01,160
Speaker 1: Yeah you hear that. Bloom had to say, don't you

1282
01:12:01,240 --> 01:12:04,920
Speaker 1: hop on in. I'll give you a ride. Miles and

1283
01:12:04,960 --> 01:12:07,280
Speaker 1: I were talking about the scenario where we get up

1284
01:12:07,280 --> 01:12:09,560
Speaker 1: on stage and look around and it's just all magahead.

1285
01:12:10,560 --> 01:12:15,840
Speaker 1: It might happen. Yeah wait why why? Yeah? Why might

1286
01:12:15,920 --> 01:12:19,160
Speaker 1: it happen? Because we're in d C. Man. Oh, you

1287
01:12:19,200 --> 01:12:21,400
Speaker 1: never know where you're going to encounter them indep Yeah,

1288
01:12:21,439 --> 01:12:23,080
Speaker 1: I mean I've every time I'll come here, I see

1289
01:12:23,120 --> 01:12:25,599
Speaker 1: him and I'm like, oh that's that's what's here. Because

1290
01:12:25,600 --> 01:12:27,360
Speaker 1: it's like coming to Graceland, you know, what I mean.

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01:12:27,479 --> 01:12:31,960
Speaker 1: So the Daily Zeitgeist is a production of my heart Radio.

1292
01:12:32,040 --> 01:12:34,439
Speaker 1: For more podcasts for my heart Radio is the I

1293
01:12:34,520 --> 01:12:36,960
Speaker 1: heart Radio app, Apple podcast or wherever you listen your

1294
01:12:37,000 --> 01:12:41,000
Speaker 1: favorite chose that's going to do it for today, for

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01:12:41,040 --> 01:12:44,360
Speaker 1: the whole week. Actually we'll be back there this afternoon.

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01:12:44,400 --> 01:12:47,519
Speaker 1: We'll give you one more trend oh to tell you

1297
01:12:47,560 --> 01:12:50,880
Speaker 1: what's trending, and then back next with more podcasts. Have

1298
01:12:50,880 --> 01:13:23,400
Speaker 1: a great weekend. By do you know, I'll never do

1299
01:13:23,600 --> 01:13:25,400
Speaker 1: you know, I'll know