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

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Speaker 1: for guys, it Feels Weird in a hotel room, my

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Speaker 1: production of I Heart Radio. This is the podcast where

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Speaker 1: we take a deep dive into America's share consciousness and

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Speaker 1: say officially off the top fux to Koke Brothers and

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Speaker 1: fuck Fox News. It's Thursday, February. Third Team. My name's

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Speaker 1: Jack O'Brien a KA Potatoes O'Brien, and I'm thrilled to

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Speaker 1: be joined as always by my co host, Mr Miles

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Speaker 1: Miles Gray a k A. These are some Oscar inspired decades.

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Speaker 1: A k Bong June Hoet, a just just eisode energy,

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Speaker 1: a smoke King Phoenix, a Roger smoking Big Binkins, a

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Speaker 1: gay Laura Burne one, a gay Tycho weed E d

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Speaker 1: A gay Parasite and thank you to Walter chest set

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Speaker 1: Water to Parasite was the name of our trending. So

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Speaker 1: it all comes together. It's all coming together, and we're

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Speaker 1: sure to be going to inherent third see. Oh, I

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Speaker 1: guess we should talk about our Well, let's let's introduce

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Speaker 1: our wonderful gets, the hilarious and talented Sydney Washington. Hello, Hello, Love,

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Speaker 1: This is fantastic. You guys are doing well. We're in

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Speaker 1: a hotel room. This is a big hotel moment. It's

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Speaker 1: well this it's weird and and I have the exact

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Speaker 1: same layout except there's not this fifty foot gap between

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Speaker 1: the bed and the wall. It does. I was like,

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Speaker 1: we should set up in my room. It was very regular.

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Speaker 1: It was really big. Yeah, mine has an extra bathroom

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Speaker 1: for some reason. There's like a sink and then there's

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Speaker 1: a door and then a whole another bathroom with a

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Speaker 1: sink with a shower. To wow, Happy Black History Month.

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Speaker 1: Thank you for me. I do think sometimes this happens though,

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Speaker 1: like when I I get the handicap, like sometimes it

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Speaker 1: defaults to like accessible rooms. You never know. Accesib like

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Speaker 1: a rolling shower. You're rolling your roll right out miles.

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Speaker 1: We're on tour right now as we speak. Were inly. Uh.

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Speaker 1: Great to see all y'all out of the Bellhouse last night,

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Speaker 1: even though we're recording it before seeing you guys. Uh.

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Speaker 1: Preemptive blessings have come in. The blessings come in, the

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Speaker 1: blessings come in. We are in Washington, d C. Tonight,

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Speaker 1: February of the Miracle Theater. Truly will be Miraculous with

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Speaker 1: Natalie McGill and then uh not next week, but the

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Speaker 1: week after Minneapolis February the Parkway Theater with POS, Chicago

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Speaker 1: February seven at the Sleeping Village with Daniel Vaniel Kirk

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Speaker 1: and of course the grand finale in Toronto February at

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Speaker 1: the Great Hall with Drake, Frank Ocean, uh, many others,

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Speaker 1: Sea Sea, who else, Um, Lizzo, Lizzo will be there.

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Speaker 1: It's gonna be pretty big show. Yeah. What we started

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Speaker 1: talking about how Drake was the only person that would

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Speaker 1: be an acceptable guest in Toronto, and then we were

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Speaker 1: talking about how I can't flog now everybody was so

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Speaker 1: disappointed him. So we're just promising people that will have

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Speaker 1: both of them, Yeah, because we like to overpromise, because

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Speaker 1: it could just be me sobbing. Then that could be

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Speaker 1: the show that Yeah, a lot of people actually are

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Speaker 1: paying when they don't know that yet. What were we

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Speaker 1: saying the show should be last night? Just uh, I

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Speaker 1: forget Oh you're just doing this? Where did this come from?

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Speaker 1: For people who can't actually see Because as a podcast,

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Speaker 1: when you class cartoon this together and you throw it

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Speaker 1: over each shoulder, what the funk was that even I

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Speaker 1: don't know who did that, And they're like, man, that's

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Speaker 1: that is how you flex someone who just want to divorce.

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Speaker 1: Maybe yeah, oh yeah, that's what it feels. Okay, I

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Speaker 1: like that, um right there holding their own hand. All right, Sydney,

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Speaker 1: We're going to get to know you a little bit

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Speaker 1: better in a moment. First, we are going to tell

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

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Speaker 1: is a new era at chipotlet chode block mode, that's

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Speaker 1: what they're calling it. Yeah, we'll explain what that is. Uh.

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Speaker 1: New Hampshire caught something on the Usher tour because they

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Speaker 1: had to let it burn. Uh this Bernie Sanders wins

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Speaker 1: a narrow victory, not enough because I don't know what

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Speaker 1: I do without We're gonna talk about We're gonna talk

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Speaker 1: about the ms NBC v. Bernie Sanders feud, just billionaires

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Speaker 1: getting real worked up, nervous about the possibility of a

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Speaker 1: Bernie When we'll talk about Trump being in revenge mode,

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Speaker 1: we'll talk about Democratic candidate merch that's sitting. First, we

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Speaker 1: like to task our guess, what is something from your

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Speaker 1: search history that's revealing about who you are? The last

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Speaker 1: search history was how much is a cremation? Okay, what's

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Speaker 1: going on? I'm you know, I'm just a very morbid person,

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Speaker 1: and um, you know, I'm on a budget, and so

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Speaker 1: this is the time where people are dropping like flies

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Speaker 1: and I'm just trying to make sure, you know, I'm

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Speaker 1: well equipped. But there's levels to the cremation, right, Like

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Speaker 1: it all depends on what you aren't there, Like the

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Speaker 1: kinds of boxes you could be cremated in. Does that matter?

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Speaker 1: Or everyone scream in the same boxes in your urn

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Speaker 1: as your next cost? If you go the cheap route,

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Speaker 1: they can just burn you in a group. In a group. Yeah,

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Speaker 1: if you're paying like five dollars, you got like a

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Speaker 1: couple of neighbors up in there. Yeah. Yeah, Okay, it

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Speaker 1: still seems expensive. Oh didn't some it's more so it's

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Speaker 1: like the overpool for cremation, right yea. The afterlife so good?

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Speaker 1: Oh man, I'm gonna have to take that. Yeah, you know,

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Speaker 1: I have. I have a bit about like I can't

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Speaker 1: die yet because I can't afford the funeral once to

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Speaker 1: make sure. Yeah, I'm just please use just doing research. Yeah,

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Speaker 1: and for you personally, you want to be cremated, No,

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Speaker 1: I'm hot you got to see me general alive, like

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Speaker 1: just preserved in a glass box. People come by and

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Speaker 1: like throw the flowers at your feet and just oh no, no, no,

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Speaker 1: we're going to have the top open. We're gonna have

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Speaker 1: a bottom open. I'm gonna be in nipple tassels like

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Speaker 1: I do. I want them to remember me as I am,

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Speaker 1: as I lived. What is something you think is overrated?

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Speaker 1: I'm gonna say this, um, AirPods rated because in order

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Speaker 1: to have them, um one, you have to have money.

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Speaker 1: Um in the whole iPhone situation is like why is

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Speaker 1: this plug here? Why can't you why can't we have

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Speaker 1: two jacks? This is a setup. If Steve Jobs was alive,

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Speaker 1: I would slap a koufy off his head. Yeah, I

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Speaker 1: don't know. We were just on an airplane where you know,

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Speaker 1: if you have plug in headphones for your iPhone is

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Speaker 1: with the lightning cable, Like if you're trying to listen

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Speaker 1: to something on the plane, you're like, oh, because I'm

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Speaker 1: locked to the Apple world. I only recently came into money,

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Speaker 1: which is why I bought iPods. I have to let

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Speaker 1: people know I mean AirPods. Oh yeah, you did invest

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Speaker 1: in a lot of iPod, A lot of iPad iPod

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Speaker 1: videos and iPod nanos I just can't get rid of.

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Speaker 1: But like I found them. I think the best thing

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Speaker 1: about him is they're convenient. I don't think for me,

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Speaker 1: I love like audio, so they're not the best headphones

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Speaker 1: to me, it's the only Yeah, I just like the

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Speaker 1: fact that I'm able to go into like secret phone

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Speaker 1: call mode very quickly with it, without trying to put

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Speaker 1: the phone in my head or do with this other stuff.

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Speaker 1: But yeah, I was firmly in the what's the fuss about?

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Speaker 1: And even now I'm still kind of like they do

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Speaker 1: their job. With the beats, Like if you're if you're listening,

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Speaker 1: if you're watching porn, you can actually hear like the

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Speaker 1: squeaking and like the bed. Yeah you can have a squeaking.

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Speaker 1: You can't hear that with AirPods. So the beats are

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Speaker 1: like very highly dtail. Can you can hear the crew

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Speaker 1: and everything whispering in the background. Yeah, that's like two

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Speaker 1: four like four K things that weren't meant to be

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Speaker 1: shut up four K exactly. Yeah, Yeah, four K. Porn

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Speaker 1: is a little I don't need. I don't need that

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Speaker 1: kind of definition. Yeah, for sex, absolutely not. No, No,

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Speaker 1: I was raised on a used to be h d

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Speaker 1: fucking gifts. I used to beat my meat too, plan

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Speaker 1: So like you know what I mean, we're out of struggling. Yeah,

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Speaker 1: what is something you think it is underrated? I might

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Speaker 1: have said this is the last time I was here.

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Speaker 1: But Biscoff cookies, the airplane cookies, they're American. Oh American.

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Speaker 1: You can give them one jet Blue you know, shout

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Speaker 1: out to jet Blue giving them points. Yeah, exactly. Um,

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Speaker 1: They're just they go with everything. I've had them with

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Speaker 1: ice cream. I've made a little sandwich out of them, like,

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Speaker 1: oh yeah, I was going through a breakup. But whatever,

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Speaker 1: I call it a Sydney's lunchables. Turkey smiles are on

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Speaker 1: it today, raining all kinds of ship. Yeah, I what

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Speaker 1: is the flavor of that? Exactly? It feels like a

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Speaker 1: little like wow, aggressive chocolate sorry, burnt sugar, Yeah, caramelines.

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Speaker 1: I feel like there's a little cinnamon in there. Like

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Speaker 1: I'm not saying it feels like home. Yeah, you know,

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Speaker 1: when you're on that dusty ass flight you get them cookies,

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Speaker 1: You're like, right, I'm closer to getting home than I know. Okay,

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Speaker 1: not because you you're saying it feels like home, because

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Speaker 1: it's like a Pavlovian response because you're on a plane.

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Speaker 1: I was thinking, because you traveled so much, the plane

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Speaker 1: has become your home. I'm not on tour like you guys.

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Speaker 1: Are there other are there other places that those are

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Speaker 1: traditionally served like, um, well now they have well they

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Speaker 1: have like the Biscoff factory in San Francisco. They're in

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Speaker 1: stores like I don't want to say anything, but I'm

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Speaker 1: the one that put it on, put everybody on. Right now,

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Speaker 1: they have a bisc Off ice cream like it's popping

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Speaker 1: off like crazy. So where's your bisc Off check out? Honestly,

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Speaker 1: I've tacked him so many times right now I have

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Speaker 1: to just assume that they're racist homophobis exactly do something

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Speaker 1: him again to see I have a whole photo shoot

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Speaker 1: with them. So with just a Biscof dress. No no,

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Speaker 1: no, no no no no, it's like fashion. I'm just like

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Speaker 1: holding like the Biscolf package in my sex and this

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Speaker 1: is are you, This is a speculative. This is just

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Speaker 1: for me, just for you, for your own well being. Okay,

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Speaker 1: you know, am I putting my press kit? You never know?

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

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Speaker 1: You has a myth. I think that people think that

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Speaker 1: if you wet your hair and go outside, you'll get

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Speaker 1: a cold. That's wrong. It's all about germs. It's less

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Speaker 1: about the time you're getting right, right, right. People get

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Speaker 1: more sick in the winter because we're inside more and

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Speaker 1: we're spreading all the freaking germs. That's why you have

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Speaker 1: to go outside when it's cold, Yeah, just to get

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Speaker 1: your Doesn't that help your immune system a little bit

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Speaker 1: when you're going cold? Yes? Or is that something my

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Speaker 1: like immigrant mother told me to stop complaining about the

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Speaker 1: I'm going to say that and yes, because she was like, no, no, no,

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Speaker 1: you'll be stronger. No, I go outside so I don't

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Speaker 1: use my heat. You know, I'm trying to I'm trying

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Speaker 1: to save. Yeah, you go into any building and got

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Speaker 1: great heat. There is something because I used to like

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Speaker 1: i've I think went back when I was at cracked.

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Speaker 1: We did we like kind of did an article where

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Speaker 1: we wrote the same thing that it's like more it

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Speaker 1: has more to do with like the fact that you're

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Speaker 1: indoors and there's more germs. But having like a like

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Speaker 1: babies like their nose just starts fucking run. It's I

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Speaker 1: don't I don't know how how it's possible, Like it

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Speaker 1: does seem like they get sicker just when it's cold out,

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Speaker 1: but I don't know. Well, they're just more acceptable. There

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Speaker 1: was just like you know, their skin and googly stuff inside.

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Speaker 1: Yeah that's with yeah, with soft bones, just gack in

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Speaker 1: their faces. All right, let's get into the news and

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Speaker 1: what what's more news worthy than the fact that Chipotle

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Speaker 1: is going into guac mode. I just saw the word

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Speaker 1: guac mode and I said, what the fund is this?

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Speaker 1: And trending or something? Well, apparently like every food site

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Speaker 1: has been writing about. I think they put a press

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Speaker 1: press release out today that basically they're saying, for the

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Speaker 1: entire month of February, if you have, like if you're

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Speaker 1: already a Chipotle rewards person, if you just scan in

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Speaker 1: guak boom, what do you want it on? You get

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Speaker 1: extra guak what? No, Like, you can get guac for

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Speaker 1: free regularly. So if you get a regular price entree,

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Speaker 1: you scan your app, you get guacamole as a topping

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Speaker 1: or side for free. Okay, who's doing a side of guak?

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Speaker 1: Just that's it? I don't know who I think for

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Speaker 1: people who just want the chips part I haven't had

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Speaker 1: of me. Okay, you know, get a burrito, well, actually

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Speaker 1: you get you get burritos, and then I always just

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Speaker 1: have the gualk thrown on top. Now, I like the

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Speaker 1: gualk on the side with the chips, really like their chips.

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Speaker 1: I'm a I'm a big Chipotle chips guy. Okay, you

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Speaker 1: know when I love Chipotle when it's free exactly. That's

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Speaker 1: that's when it said it's best exactly. That's why I'm like,

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Speaker 1: looking at this. It's funny that they clearly this is

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Speaker 1: a ploy to get people to join the rewards program, right,

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Speaker 1: which I'm surprised they did not do this earlier because

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Speaker 1: I feel like Chipotle and like guacamole are like a

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Speaker 1: thing on the internet, like people always taught. There's memes

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Speaker 1: about being like said, I don't want clock, like people

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Speaker 1: just there's a sentiment about knowing that guacamole cost more.

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Speaker 1: Just I'm just surprised, just surprised they didn't tap into

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Speaker 1: this earlier. Okay, but how much more is guak? Again?

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Speaker 1: Like a dollar? Maybe I think it's side is more

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Speaker 1: than that. I think it depends on your location. But

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Speaker 1: I think it's like at least two bucks in l A. Maybe, Yeah,

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Speaker 1: that's why I've never had it. I guess I don't

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Speaker 1: think it's two If you just have ad guac on

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Speaker 1: top of something, just a splash of guac, Yeah, splash,

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Speaker 1: you just gotta splash a glockt there. Let me just

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Speaker 1: look really quickly. Do they have it all? Well, well,

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Speaker 1: we don't. We don't. I'm not. I'm trying to figure

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Speaker 1: out like the question in my mind of like what

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Speaker 1: makes a company like worth having a rewards program? Like

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Speaker 1: what what puts it in that category? Is it just

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Speaker 1: that Chipotle is a lunch company, Like they're a place

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Speaker 1: we go for lunch, and therefore it's like there's something

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Speaker 1: sort of habit forming and therefore like we want to

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Speaker 1: punch a card to do with that or what? What?

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Speaker 1: I don't know. I mean, I think it's like anything

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Speaker 1: you know, you if there's if it's gamified. That's all

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Speaker 1: these reward programs are. It's gamified. It's like how many

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Speaker 1: times I check in? Is that just like we're all

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Speaker 1: every thing we do is going to be gamified from

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Speaker 1: now on? Or is this just like another you gotta

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Speaker 1: give people incentive because you know, all just starve if

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Speaker 1: there's not a game involved wandering around. That's what happened

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Speaker 1: to Rome. They game of five things and then you

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Speaker 1: fell apart. Yeah, I think we don't gamified breakfast. I

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Speaker 1: feel like, do we? I guess coffee? Coffee is game

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Speaker 1: of fight a little bit you do the punch cards.

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Speaker 1: It's just like lunch is GAMEI fed because I think

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Speaker 1: it's like a thing. We just try to get out

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Speaker 1: of the way quickly when it punctuates, like your day

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Speaker 1: of toil, right, you know, so yeah, I'll do like

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Speaker 1: one thinking about it, I cannot be near my boss

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Speaker 1: and sucking, eat whatever, smoke a blunt in the parking

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Speaker 1: lot and come back and be like I love my job. Yeah.

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Speaker 1: But when you think about it, you as soon as

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Speaker 1: you get downstairs and you finally get to your destination

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Speaker 1: to get your lunch, by the time you get it

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Speaker 1: and then go back up, it's time to work again.

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Speaker 1: So lunch is actually the fastest thing throughout the day, actually,

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Speaker 1: especially in New York, right, because when I would come

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Speaker 1: in an office, like one of my old jobs in

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Speaker 1: New York, I was like, let's go to lunch. We

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Speaker 1: will go up the block and be like, all right,

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Speaker 1: we gotta go back, And I'm like, fuck, yeah, that's right,

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Speaker 1: someone get at your desk. Some of the most depressing

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Speaker 1: memories I have is working at New York early days

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Speaker 1: of Cracked, when it was just starting. It was like

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Speaker 1: me and two other dudes, uh, and I would go

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Speaker 1: to Subway every day for lunch, get the chicken sandwich

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Speaker 1: with sliced tilapangos and ranch dressing and a diet yeah,

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Speaker 1: and a diet right every day, and and I thought

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Speaker 1: I liked it, Like I had really convinced myself that

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Speaker 1: that was a good lunch. Like I talked about how

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Speaker 1: I liked it, like like dark days, They're like, man, yeah,

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Speaker 1: we're gonna go to fucking Peter Lugers And You're like, nah,

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Speaker 1: I'm going to Subway. I'm gonna get my what did

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Speaker 1: you get? Chicken with a ranch hallepeenos and a diet sprite.

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Speaker 1: Diet sprite is what made me. That's where it where

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Speaker 1: I was like, I'm seriously worried about it. I don't

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Speaker 1: know anybody who yeah, in a way like maybe said

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Speaker 1: we need to turn this in an intervention. It was

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Speaker 1: I mean, I look back on it now and I'm like, damn,

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Speaker 1: what was the point of drinking diets right? There's no yeah,

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Speaker 1: no caffeine. Like, I know you drink diet coke because

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Speaker 1: it's sugar free, but you need to you really it's

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Speaker 1: very single, feel like it. I think I was single.

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Speaker 1: I think I was just starting to date my wife

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Speaker 1: at that time, but like, very very did you know

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Speaker 1: and did you know you're reading like this? I think

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Speaker 1: you're drinking back when. Yeah, this is just like, let's

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Speaker 1: go on a date. You walk by the subway, you

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Speaker 1: go to he's like, hey, Jack, another diets, right, man,

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Speaker 1: I don't know what your motherfucker the norm of that.

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Speaker 1: It's like, you're really rude to that guy. And how

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Speaker 1: did they know your name? Yeah? They called you Jack

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Speaker 1: Diets right. I just also, it's just funny at the

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Speaker 1: guacmode just makes me think about how broke millennials are

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Speaker 1: and how much we hold the avocado and guacomole as

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Speaker 1: like this thing. Like like I was saying, the thing

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Speaker 1: about chapole is it's guacomole is almost like a luxury

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Speaker 1: item when you're in there. Okay, that's more I'm investing

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Speaker 1: in the guac if I do that, and for them

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Speaker 1: to do this feels like for me, I'm like, is

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Speaker 1: this warming my heart? Because I'm used to pretending this

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Speaker 1: is sort of like an expensive thing that I'm getting

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Speaker 1: for free, and it's also working on me that way,

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Speaker 1: not just that it's a free thing, but does guac

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Speaker 1: have a place in our consciousness? You feel seen as

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Speaker 1: a general Maybe I'm thinking too deep into this. You

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Speaker 1: are that the thing is Chipotle is like so easy

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Speaker 1: to get and then it's you know, it's fast, and

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Speaker 1: I think Chapole is the only place where um avocado

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Speaker 1: is important, right right, it's imperative that you get it,

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Speaker 1: But like when I go anywhere else, I'm not really

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Speaker 1: thinking about avocado like that. Yeah that's true. Maybe say

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Speaker 1: I try to once the subway once ever, and I

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Speaker 1: was like, I'm not doing this, Yeah, subway, I think

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Speaker 1: it's a dollar walk for a dollar and spread. Don't

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Speaker 1: worry about it. It was part of a really great

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Speaker 1: meal that I would have with oh you know what else,

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Speaker 1: very sad baked lays that just dusty ass dried out

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Speaker 1: like health kick where you on just I was just

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Speaker 1: trying to make myself diary suicide through my lunch choices. Um, yeah,

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Speaker 1: I mean, but shout out to Chipotle, give us that

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Speaker 1: wooden card? Did that will get where you get free

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Speaker 1: free Chipole for life? Is that a real thing? What?

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Speaker 1: I know? Jesus has one a wooden card. Yeah, it's

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Speaker 1: like a wood credit card that came in a box

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Speaker 1: and he just he flashes out of Chipole and I

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Speaker 1: think it's on site. Who's that Jesus? He's nice? Yeah, yeah,

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Speaker 1: So I'm like I looked to him, know what direction

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Speaker 1: I need to go to? Yeah, if you get to

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Speaker 1: have one of those cards for any any story, that's

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Speaker 1: not like, you know, a luxury items what what would

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Speaker 1: you get? Stop? Wing stop stop? But would they serve?

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Speaker 1: Like would their service be good? Still, Like it's not

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Speaker 1: like they would get It's not like you would just

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Speaker 1: get to the front of the line and they would

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Speaker 1: just be like all right, yes we serve you, and

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Speaker 1: like your food comes out immediately. No, I just need

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Speaker 1: free free Okay I don't. And also I don't eat

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Speaker 1: at wingstop. When I get I pick it up and

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Speaker 1: I eat it in shame in my car. Yeah. I

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Speaker 1: think most of my wings Stop experiences are around the

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Speaker 1: Super Bowl, so that that might be why I happened

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Speaker 1: are usually around Sunday's most Sundays. How about you, Sydney,

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Speaker 1: what would what would be your wooden card for your

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Speaker 1: wooden card brand? Yeah, I would definitely eat Starbucks. I'm

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Speaker 1: there a lot. Yeah, yeah, they know me and I

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Speaker 1: don't want to say this, but I love their chicken, sausage, bacon,

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Speaker 1: biscuit breakfast. Yeah. They have some breakfast items segg bites. Yeah,

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Speaker 1: that's it's it's a it's a weird it's a bowl choice.

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Speaker 1: It's like you're you're going through something but chic, you know. Yeah,

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Speaker 1: for sure. They have some breakfast sandwiches that are very

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Speaker 1: like bad for you and delicious. Yeah. I remember the

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Speaker 1: first time I looked at what the calorie count was, Yeah,

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Speaker 1: what's the calorie like over six hundred for like a

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Speaker 1: very small thing. And I was like that's a lot.

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Speaker 1: Considering my mind, I thought this was healthy. But also

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Speaker 1: I don't I don't know, it's not that I count calories. Yeah,

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Speaker 1: they're pretty meaningless. They have a ham sandwich on I

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Speaker 1: think it's a croissan that is so greasy that like

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Speaker 1: it makes the bread or it makes the paper and

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Speaker 1: like any clothing it comes into transact with translucent immediately great, Um, alright,

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

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Speaker 1: we're back. And the primaries had another or I guess

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Speaker 1: the primary season had its first primaries in New Hampshire

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Speaker 1: because Iowa is a caucus so part of the primary process,

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Speaker 1: I guess. Yeah. But Bernie Sanders one, uh, and it

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Speaker 1: was a more narrow victory than pulling head maybe indicated,

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Speaker 1: but it was still a clear victory for him, and

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Speaker 1: the mainstream media narrative seemed to be, all right, story

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Speaker 1: number one, how much of a charge Amy Klogscher took,

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Speaker 1: like she really, I mean, I think that's worth talking

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Speaker 1: about the hierarchy of like story choices. There was like Amy,

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Speaker 1: surgeon Pete is closer than expect He's getting closer and closer.

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Speaker 1: But that's like the vibe bed has. And then it's

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Speaker 1: like Bernie is gonna destroy the country and he wins,

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Speaker 1: everything will melt down. It's really somebody pointed out somebody tweeted,

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Speaker 1: and I'll try and find the tweet to credit them,

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Speaker 1: but they were like, it's really hard to cover how

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Speaker 1: the mainstream media covers Bernie without sounding like a Bernie

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Speaker 1: stand because they're just like so blatantly like there's just

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Speaker 1: such a clear bias's yeah. Um. The thing out of

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Speaker 1: New Hampshire though, that was also really interesting is to

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Speaker 1: see Elizabeth Warren finished in fourth. Yeah, it was a

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Speaker 1: bad night for Elizabeth Warren. Yeah, the worst night for

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Speaker 1: Joe Joe Biden. Broo's put this man to bed, He's

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Speaker 1: tuck him in. He really I don't know what other

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Speaker 1: information he needs to begin making the right choices. I mean,

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Speaker 1: obviously he's looking at like South Carolina Nevada because these

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Speaker 1: are two very white, uh states, so they're not the

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Speaker 1: most diverse voting, which is why I think Pete Buddhajduge

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Speaker 1: are doing really well. We'll see how that happens in

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Speaker 1: South Carolina where he's not doing well at all. Um.

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Speaker 1: But yeah, seeing Elizabeth Warren finished out, I mean that's

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Speaker 1: that's not a good sign for her campaign, considering like

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Speaker 1: these first two are pretty important. Um, and just her

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Speaker 1: bass had been like white, college educated liberal, I mean,

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Speaker 1: her base was basically Pete Buddha Judges base. Well, yeah,

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Speaker 1: and I think that's where that's what I'm curious, what

419
00:25:39,240 --> 00:25:42,840
Speaker 1: got what sort of began this shift over to Buddha judge,

420
00:25:42,880 --> 00:25:45,080
Speaker 1: because prior to this, I would have thought Bernie and

421
00:25:45,119 --> 00:25:49,480
Speaker 1: Elizabeth Warren would have been up there together where I wasn't.

422
00:25:49,640 --> 00:25:51,680
Speaker 1: In my mind, I thought, well, like, if some people

423
00:25:52,000 --> 00:25:55,080
Speaker 1: like the obviously the progressive things that they both stand for,

424
00:25:55,280 --> 00:25:57,320
Speaker 1: but just to what degree some people might not think

425
00:25:57,359 --> 00:25:59,680
Speaker 1: it needs to be as extreme or in their view

426
00:26:00,119 --> 00:26:02,080
Speaker 1: what the solutions are. Actually I shouldn't even say that

427
00:26:02,160 --> 00:26:04,600
Speaker 1: what Bernie is proposing is extreme, that he's trying to

428
00:26:04,720 --> 00:26:08,320
Speaker 1: correct problems systemically in this country, and then Elizabeth Warren

429
00:26:08,400 --> 00:26:10,040
Speaker 1: is also trying to do that in a in a

430
00:26:10,119 --> 00:26:13,600
Speaker 1: way that's comfortable for her, and I think I thought, well,

431
00:26:13,680 --> 00:26:15,880
Speaker 1: maybe that works. But then maybe at a certain point

432
00:26:16,560 --> 00:26:20,000
Speaker 1: they're too similar, and so you're if he yeah, like

433
00:26:20,080 --> 00:26:22,280
Speaker 1: if you're put off by Bernie, maybe you're like, actually,

434
00:26:22,960 --> 00:26:25,600
Speaker 1: I'm just maybe a Boutagge is more a safer pick

435
00:26:25,720 --> 00:26:28,040
Speaker 1: for me, yea. And I feel like also the people

436
00:26:28,520 --> 00:26:33,200
Speaker 1: who are supporting Bootagge are the sort of people who

437
00:26:33,680 --> 00:26:37,320
Speaker 1: aren't necessarily like the true believers, who are looking for

438
00:26:37,920 --> 00:26:41,680
Speaker 1: politically salient things to like change in their lives. They're

439
00:26:41,760 --> 00:26:44,879
Speaker 1: looking for who's the best bet, who's going to be

440
00:26:44,920 --> 00:26:48,040
Speaker 1: the best story to tell to beat Trump, and so

441
00:26:48,920 --> 00:26:51,359
Speaker 1: uh there. I really think this hurt her, and I

442
00:26:51,400 --> 00:26:53,680
Speaker 1: don't think it's fair. But there was a New York

443
00:26:53,760 --> 00:26:57,720
Speaker 1: Times poll that where they pulled a bunch of the

444
00:26:57,800 --> 00:27:00,480
Speaker 1: swing states and they found that she did earth than

445
00:27:00,560 --> 00:27:03,920
Speaker 1: anybody against Trump of the like top four, and I

446
00:27:04,000 --> 00:27:08,920
Speaker 1: think that hurt Like that started the electability conversation, which

447
00:27:08,960 --> 00:27:12,320
Speaker 1: is again we've talked about what bullshit like electability is

448
00:27:12,400 --> 00:27:15,760
Speaker 1: because that's just your bias. Nobody thought Trump was electable.

449
00:27:16,040 --> 00:27:19,879
Speaker 1: Nobody like, your version of electability is just you know,

450
00:27:20,160 --> 00:27:24,600
Speaker 1: you uh, saying your biases out loud and applying them

451
00:27:24,640 --> 00:27:26,920
Speaker 1: to other people. It doesn't it was really There was

452
00:27:26,960 --> 00:27:28,760
Speaker 1: also a poll that had like five of the top

453
00:27:28,880 --> 00:27:32,280
Speaker 1: candidates beating Trump, so it's like it didn't almost didn't

454
00:27:32,320 --> 00:27:34,720
Speaker 1: even matter. It's like, but even then, I'm not I

455
00:27:34,800 --> 00:27:38,040
Speaker 1: think that's a very it's wishful thinking to be like, Okay, well,

456
00:27:38,080 --> 00:27:40,720
Speaker 1: based off this poll, we're gonna win. Yeah. So I

457
00:27:40,760 --> 00:27:43,800
Speaker 1: think around the time that those polls came out, there

458
00:27:43,880 --> 00:27:47,000
Speaker 1: was also the time when or there was also the

459
00:27:47,200 --> 00:27:50,720
Speaker 1: moment where she sort of started waffling on Medicare for all,

460
00:27:51,200 --> 00:27:53,560
Speaker 1: and I think she lost part of her base to

461
00:27:54,119 --> 00:27:58,160
Speaker 1: Bernie because people who were like very hardline and true

462
00:27:58,200 --> 00:28:01,000
Speaker 1: believers who were just like I like her because she's

463
00:28:01,080 --> 00:28:05,040
Speaker 1: like a friendlier version of Bernie. Uh, started doubting that

464
00:28:05,240 --> 00:28:08,639
Speaker 1: she actually had the sort of same politics as Bernie.

465
00:28:08,720 --> 00:28:11,280
Speaker 1: And you know, so she lost those true believers. And

466
00:28:11,359 --> 00:28:13,359
Speaker 1: then because that pole came out, I feel like she

467
00:28:13,480 --> 00:28:18,439
Speaker 1: lost some of those uh, you know, calculated electability assholes

468
00:28:18,680 --> 00:28:21,800
Speaker 1: to Pete. And that's once you see that poll and

469
00:28:21,920 --> 00:28:26,920
Speaker 1: you're like, ah, that person looks like a loser on paper, Like, um,

470
00:28:27,440 --> 00:28:29,719
Speaker 1: go back, especially if you're voting like that too, right

471
00:28:29,760 --> 00:28:32,960
Speaker 1: where you're like, oh, who's gonna who's doing the best. Yeah,

472
00:28:33,000 --> 00:28:36,560
Speaker 1: Like those numbers can really affect your thinking. Uh not

473
00:28:36,720 --> 00:28:39,720
Speaker 1: to mention whatever the media is screaming into your head,

474
00:28:40,120 --> 00:28:43,000
Speaker 1: right like how you should shape that because I was hoping,

475
00:28:43,000 --> 00:28:45,160
Speaker 1: I mean I really hope that that it would be

476
00:28:45,440 --> 00:28:48,680
Speaker 1: we would have more progressive candidates being further and further along.

477
00:28:49,280 --> 00:28:51,840
Speaker 1: But I guess at a certain point people start have

478
00:28:51,960 --> 00:28:53,960
Speaker 1: to get into buckets. Like if you are if you're

479
00:28:54,040 --> 00:28:57,680
Speaker 1: super progressive, then there's your candidate, not your three candidates.

480
00:28:57,720 --> 00:28:59,800
Speaker 1: And if your centrist, here's your candidate. And I think

481
00:28:59,840 --> 00:29:03,040
Speaker 1: that how starting to shape out now, Yeah, yeah, and

482
00:29:03,800 --> 00:29:06,000
Speaker 1: it'll be interesting to see how she bounces back. I

483
00:29:06,080 --> 00:29:09,360
Speaker 1: think people are expecting Biden to bounce back somewhat now

484
00:29:09,480 --> 00:29:13,760
Speaker 1: that the states are more diverse. But if he doesn't,

485
00:29:13,840 --> 00:29:17,400
Speaker 1: it seems like that's a clear sign that like just

486
00:29:17,560 --> 00:29:22,760
Speaker 1: something has gone wrong and might be unredeemable for Biden's

487
00:29:22,800 --> 00:29:28,040
Speaker 1: campaign with Warren. It's not clear like there's no real

488
00:29:28,240 --> 00:29:32,400
Speaker 1: path forward that or at least narratively speaking, like nobody's

489
00:29:32,440 --> 00:29:34,720
Speaker 1: like said, Okay, this is what she needs to like

490
00:29:34,880 --> 00:29:37,600
Speaker 1: she can turn it around in Nevada because she's really

491
00:29:37,680 --> 00:29:42,800
Speaker 1: popular there. Don't help, I can't, I do think so

492
00:29:43,400 --> 00:29:46,320
Speaker 1: the one uh, I guess here, I'll come up with

493
00:29:46,360 --> 00:29:49,600
Speaker 1: a narrative right now, is that, what's the dude's name,

494
00:29:49,640 --> 00:29:53,560
Speaker 1: who's the most powerful Democrat in Nevada. I'm one of

495
00:29:53,600 --> 00:29:57,520
Speaker 1: the most powerful democrats retired politicians read Harry Reid. Yeah,

496
00:29:57,880 --> 00:30:00,959
Speaker 1: he loves Elizabeth Warren and he still has a lot

497
00:30:01,040 --> 00:30:04,000
Speaker 1: of sway and does not like Bernie of course, so

498
00:30:04,480 --> 00:30:07,640
Speaker 1: he could read is the def and I mean he

499
00:30:07,800 --> 00:30:12,040
Speaker 1: is like yeah, And also I mean he he has

500
00:30:12,080 --> 00:30:15,800
Speaker 1: a lot of friends in industries that would that the

501
00:30:15,920 --> 00:30:17,719
Speaker 1: Senate did a look the other way on a lot

502
00:30:17,760 --> 00:30:20,520
Speaker 1: of things too, So that absolutely makes sense. Yeah, I

503
00:30:20,840 --> 00:30:23,080
Speaker 1: could see like things are starting to trend a little

504
00:30:23,120 --> 00:30:26,080
Speaker 1: bit soft for Bernie and Nevada because I think there

505
00:30:26,120 --> 00:30:28,400
Speaker 1: were some poles that came out, like five thirty eight

506
00:30:28,640 --> 00:30:33,280
Speaker 1: at they froze their model for when the results were

507
00:30:33,320 --> 00:30:35,480
Speaker 1: coming in in New Hampshire. They don't like to like

508
00:30:35,640 --> 00:30:38,040
Speaker 1: have it go shoot up and down like the New

509
00:30:38,120 --> 00:30:41,960
Speaker 1: York Times needle, but they frozen. When they unfroze it,

510
00:30:42,120 --> 00:30:45,560
Speaker 1: Bernie had won, and his chances of winning the overall

511
00:30:45,600 --> 00:30:48,480
Speaker 1: nomination actually went down because there were apparently a couple

512
00:30:48,520 --> 00:30:51,880
Speaker 1: of poles that we're bad for him in Nevada, and

513
00:30:51,960 --> 00:30:53,800
Speaker 1: I guess he didn't win by as much as they

514
00:30:53,800 --> 00:30:57,160
Speaker 1: were expecting. He's still the front runner though overall. But

515
00:30:57,680 --> 00:31:02,720
Speaker 1: there's also this big thing with the um Culinary Union

516
00:31:03,000 --> 00:31:06,160
Speaker 1: is making some big moves against Sanders and Abata, so

517
00:31:06,320 --> 00:31:08,560
Speaker 1: that might change things. Those are Yeah, the unions, they're

518
00:31:08,640 --> 00:31:11,880
Speaker 1: like between the hospitality, like they have numbers there and

519
00:31:11,960 --> 00:31:14,440
Speaker 1: I'm curious to know, like, yeah, what what the leadership

520
00:31:14,520 --> 00:31:17,520
Speaker 1: there is thinking. But we'll see. I mean, it's all,

521
00:31:18,200 --> 00:31:20,800
Speaker 1: it's all fluctuating. It's all in flux, as we see,

522
00:31:20,880 --> 00:31:23,560
Speaker 1: because the New Hampshire primary is also meant to end

523
00:31:23,640 --> 00:31:28,239
Speaker 1: for Andrew Yang yeah Yang Gang or amount for them

524
00:31:28,320 --> 00:31:31,560
Speaker 1: for the blue hats. Uh. Michael Bennett, who I forgot

525
00:31:31,760 --> 00:31:34,880
Speaker 1: was running and I never I never bothered to learn

526
00:31:34,920 --> 00:31:37,719
Speaker 1: a single thing about him. Need to, Yeah, I need

527
00:31:37,800 --> 00:31:40,320
Speaker 1: to kind of proud of myself, like for having the

528
00:31:41,480 --> 00:31:46,320
Speaker 1: compartmentalization ability to just never having let a single fact

529
00:31:46,320 --> 00:31:48,200
Speaker 1: about that dude stick in my mind. Well, also, I

530
00:31:48,240 --> 00:31:50,280
Speaker 1: don't even know who the if you if your last

531
00:31:50,360 --> 00:31:53,440
Speaker 1: name is it Bennett? Who was supporting him, like who

532
00:31:53,520 --> 00:31:56,080
Speaker 1: was inspired by him? Because it was like everything he

533
00:31:56,160 --> 00:32:00,400
Speaker 1: said was so like Manila envelope, Like yeah, like devoid

534
00:32:00,440 --> 00:32:04,640
Speaker 1: of any detail or anything exciting. I know, James Carville,

535
00:32:05,800 --> 00:32:08,480
Speaker 1: I'm a snake. When he lost, I wonder if he

536
00:32:08,560 --> 00:32:11,000
Speaker 1: said my name is Bennett and nine in it, Yeah,

537
00:32:11,840 --> 00:32:14,080
Speaker 1: I would have been like the most memorable thing. He said,

538
00:32:15,000 --> 00:32:17,800
Speaker 1: We'll see what what happens with him. I know Duval Patrick.

539
00:32:17,920 --> 00:32:21,120
Speaker 1: They said he might also suspend his campaign too. That

540
00:32:21,280 --> 00:32:25,840
Speaker 1: has been a very strange, like he didn't know who

541
00:32:25,960 --> 00:32:28,240
Speaker 1: convinced him to go in late because a bunch of

542
00:32:28,320 --> 00:32:30,040
Speaker 1: rich white dudes. At first, a bunch of people were

543
00:32:30,040 --> 00:32:34,280
Speaker 1: talking to him like early on about joining running a

544
00:32:34,360 --> 00:32:36,720
Speaker 1: long time ago, and then he just got in way

545
00:32:36,760 --> 00:32:41,200
Speaker 1: too late. Um. But yeah, Michael Bennett was apparently the

546
00:32:41,480 --> 00:32:45,840
Speaker 1: consensus pick for James Carville, and that that was James Carville.

547
00:32:46,400 --> 00:32:49,080
Speaker 1: James Carville. Oh wow, you know I usally I eat

548
00:32:49,120 --> 00:32:53,120
Speaker 1: frogs at night. He was out here saying on fucking

549
00:32:53,520 --> 00:32:58,080
Speaker 1: Morning Joe that uh Bernie was going to bring about

550
00:32:58,240 --> 00:33:02,040
Speaker 1: like the literal apocalypse. Yeah, so that's a he's a

551
00:33:02,120 --> 00:33:06,480
Speaker 1: great I mean that he was the smartest person in

552
00:33:06,560 --> 00:33:10,480
Speaker 1: the Democratic Party at a time like twenty over twenty

553
00:33:10,560 --> 00:33:13,080
Speaker 1: years just because he got Clinton like that, that's but

554
00:33:13,160 --> 00:33:15,600
Speaker 1: like he was a good I mean he had Yeah,

555
00:33:15,680 --> 00:33:18,480
Speaker 1: he had the takes and like sort of the experience

556
00:33:18,560 --> 00:33:21,120
Speaker 1: where people were like, Okay, that let's listen to this guy.

557
00:33:21,280 --> 00:33:24,960
Speaker 1: But now his candida is Michael Bennett, and he thinks

558
00:33:25,080 --> 00:33:27,480
Speaker 1: the leading candidates going to bring about the into the world.

559
00:33:27,640 --> 00:33:30,160
Speaker 1: As we said, the only thing between the United States

560
00:33:30,520 --> 00:33:33,880
Speaker 1: and the ABYSS is a Democratic Party. That's it. If

561
00:33:33,920 --> 00:33:35,960
Speaker 1: we go away to British Labor Party, if we nominate

562
00:33:36,080 --> 00:33:38,440
Speaker 1: Jerey mccorbyn, it's going to be the end of days.

563
00:33:41,440 --> 00:33:43,320
Speaker 1: That's all this should coming out of SNBC. Then there

564
00:33:43,360 --> 00:33:46,000
Speaker 1: was the fucking Chuck Todd brown shirts line about people

565
00:33:46,000 --> 00:33:50,840
Speaker 1: were supporting Bernie called them brown shirts. Yes, because he

566
00:33:50,960 --> 00:33:54,040
Speaker 1: was talking he read from an article from The Bulwark,

567
00:33:54,120 --> 00:33:57,800
Speaker 1: which is like a conservative website, and was like that

568
00:33:58,120 --> 00:34:00,480
Speaker 1: in the articles comparing supporters to brown shirts, and he

569
00:34:00,520 --> 00:34:02,080
Speaker 1: said that ship on the air, and people like, what

570
00:34:02,800 --> 00:34:06,280
Speaker 1: does that mean? That's a comparison to the Nazis like

571
00:34:06,840 --> 00:34:10,840
Speaker 1: Hitler supporters who wore brown shirts. And it was just like,

572
00:34:11,000 --> 00:34:13,480
Speaker 1: what where is this going? And like the hits have

573
00:34:13,600 --> 00:34:17,000
Speaker 1: been weird. We talked about Chris Matthews. Damn near lost

574
00:34:17,120 --> 00:34:19,840
Speaker 1: his mind when he said, Bernie like, there could be

575
00:34:20,000 --> 00:34:23,960
Speaker 1: executions in Central Park if if socialism ends up here

576
00:34:24,000 --> 00:34:25,680
Speaker 1: in the United That's what he used to be afraid

577
00:34:25,719 --> 00:34:28,120
Speaker 1: of when he heard socialism. And he's not too sure

578
00:34:28,200 --> 00:34:30,920
Speaker 1: that Bernie is not that. Chris Matthews was like, fam,

579
00:34:31,000 --> 00:34:33,160
Speaker 1: are you really serious? What do you mean you believe

580
00:34:33,239 --> 00:34:36,799
Speaker 1: that he's like Chris Matthews Chris, I mean, uh, what's

581
00:34:36,840 --> 00:34:40,439
Speaker 1: his other? The other Chris other? Chris was like Chris Hayes.

582
00:34:40,640 --> 00:34:44,000
Speaker 1: Chris Hayes was like Yo, what are you doing? Yeah,

583
00:34:44,120 --> 00:34:48,080
Speaker 1: and it's it's been pretty odd looking at the takes

584
00:34:48,160 --> 00:34:51,160
Speaker 1: on MSNBC two because like even last or two nights

585
00:34:51,160 --> 00:34:54,880
Speaker 1: ago with the New Hampshire primaries, Lawrence O'donald rather than

586
00:34:54,960 --> 00:34:59,880
Speaker 1: saying Sanders one, which is that if you're reporting the outcomes,

587
00:35:00,840 --> 00:35:04,680
Speaker 1: that take he had was more of like the story

588
00:35:04,760 --> 00:35:07,279
Speaker 1: of the Sanders campaign so far this year is how

589
00:35:07,400 --> 00:35:10,840
Speaker 1: much ground he's lost from four years ago when he

590
00:35:11,200 --> 00:35:17,480
Speaker 1: ran against one versus running against numerous people. Well, I

591
00:35:17,520 --> 00:35:20,160
Speaker 1: think the thing that the mainstream Democrats need to think

592
00:35:20,160 --> 00:35:22,319
Speaker 1: about is how much ground they've lost. I mean, their

593
00:35:22,400 --> 00:35:26,440
Speaker 1: candidate won the nomination LA last time, and they have

594
00:35:26,520 --> 00:35:30,239
Speaker 1: they're split between eight different candidates. Also, it's a really

595
00:35:30,239 --> 00:35:33,759
Speaker 1: the argument against centrism, you know, like a fucking al Gore.

596
00:35:35,360 --> 00:35:38,640
Speaker 1: I mean, aside from climate change, there's nothing really revolutionary there.

597
00:35:38,880 --> 00:35:45,640
Speaker 1: John Kerry, uh, Barack Obama ran as a progressive, but

598
00:35:45,760 --> 00:35:47,759
Speaker 1: then it it evolved a bit when he got into

599
00:35:47,800 --> 00:35:52,439
Speaker 1: office and Hillary Clinton again centrism. So I'm not sure

600
00:35:52,680 --> 00:35:55,400
Speaker 1: what wins they're pointing at anymore. Like I think we

601
00:35:55,480 --> 00:35:57,959
Speaker 1: really need to observe what we're talking about here, because

602
00:35:59,000 --> 00:36:02,800
Speaker 1: clearly on the right, they fire up their racism machine

603
00:36:02,920 --> 00:36:05,560
Speaker 1: and it's big sexy time for their supporter. I love it,

604
00:36:05,960 --> 00:36:07,920
Speaker 1: and I think and you look at people here, Look

605
00:36:07,920 --> 00:36:10,760
Speaker 1: how many people turned out from mid terms for progressives

606
00:36:11,320 --> 00:36:13,880
Speaker 1: in the House, like they were there because people are

607
00:36:13,920 --> 00:36:16,160
Speaker 1: on some like hey, we need to change ship, like

608
00:36:16,280 --> 00:36:19,279
Speaker 1: we need to do something different, and that it wasn't

609
00:36:19,320 --> 00:36:21,879
Speaker 1: like hey can we can we not like get too

610
00:36:21,960 --> 00:36:25,719
Speaker 1: excited about like ensuring everyone's health and stuff. You know.

611
00:36:25,840 --> 00:36:28,000
Speaker 1: It's so I think there's there's something to be said

612
00:36:28,040 --> 00:36:30,879
Speaker 1: and really needs to be I wish the media would

613
00:36:30,880 --> 00:36:34,120
Speaker 1: actually dissect that and maybe bring that into the focus

614
00:36:34,160 --> 00:36:38,000
Speaker 1: a little bit and saying like, is centrism or you know,

615
00:36:38,239 --> 00:36:42,160
Speaker 1: just barely left of center right ship? Is that really

616
00:36:42,239 --> 00:36:45,680
Speaker 1: going to excite enough people? Yeah? I think it's because

617
00:36:45,719 --> 00:36:48,719
Speaker 1: I mean I think we can consider centrism is more

618
00:36:49,200 --> 00:36:53,600
Speaker 1: right wing, uh, compared to other countries. But when I

619
00:36:53,760 --> 00:36:58,680
Speaker 1: I passed by Fox, Uh, it was interesting they were

620
00:36:58,760 --> 00:37:02,560
Speaker 1: like their headline and was I could walk actually we

621
00:37:02,680 --> 00:37:08,560
Speaker 1: are by the headquarters. Uh. They their headline was Socialist

622
00:37:08,640 --> 00:37:12,759
Speaker 1: wins New Hampshire Primary and they were talking about how

623
00:37:13,440 --> 00:37:18,240
Speaker 1: like all of the European socialist countries like are actually

624
00:37:19,080 --> 00:37:22,560
Speaker 1: proved that socialism was a failure and now they're all

625
00:37:23,000 --> 00:37:28,479
Speaker 1: privatizing everything and privatization is the way forward and oh yeah,

626
00:37:28,800 --> 00:37:31,680
Speaker 1: so they're you know, they're just laughing all the way

627
00:37:32,280 --> 00:37:36,120
Speaker 1: to yeah. Yeah. The other thing though, too, is just

628
00:37:36,239 --> 00:37:38,080
Speaker 1: kind of like when you look at how the media

629
00:37:38,160 --> 00:37:41,279
Speaker 1: works on the right, they couldn't be more in for

630
00:37:41,480 --> 00:37:44,120
Speaker 1: everything that is for the Republicans. They don't even take

631
00:37:44,160 --> 00:37:47,160
Speaker 1: a second to be objective about anything. It's just raw

632
00:37:47,320 --> 00:37:49,960
Speaker 1: rob bullshit for the right on that channel all the time.

633
00:37:50,040 --> 00:37:58,360
Speaker 1: It's televised as eating of the president and honest MSNBC

634
00:37:58,480 --> 00:37:59,920
Speaker 1: they want to get messy in other ways and like

635
00:38:00,040 --> 00:38:02,520
Speaker 1: they're not actually if you know, not that we need

636
00:38:02,760 --> 00:38:06,560
Speaker 1: that kind of like echo chamber going. But like I

637
00:38:06,640 --> 00:38:08,879
Speaker 1: think the media also needs to understand what their hand

638
00:38:09,000 --> 00:38:10,200
Speaker 1: is in this. And it feels like when you look

639
00:38:10,200 --> 00:38:12,879
Speaker 1: at how much older voters get their political takes from

640
00:38:12,920 --> 00:38:15,680
Speaker 1: like TV news, when you have your anchors out there

641
00:38:15,760 --> 00:38:17,880
Speaker 1: being like, I don't know if Bernie's gonna do I

642
00:38:17,920 --> 00:38:20,000
Speaker 1: don't know, if the apocalypse, I don't I don't know

643
00:38:20,080 --> 00:38:22,120
Speaker 1: if frogs are going to come from the sky, Like

644
00:38:22,840 --> 00:38:26,440
Speaker 1: then yeah, there's then they're the anchors themselves are probably

645
00:38:26,440 --> 00:38:29,719
Speaker 1: going to be the biggest rivals to this campaign, if anything,

646
00:38:29,719 --> 00:38:31,759
Speaker 1: because I've not seen many people be like, yeah, this

647
00:38:31,920 --> 00:38:34,560
Speaker 1: is good. You only see it in opinion pieces that

648
00:38:34,680 --> 00:38:37,040
Speaker 1: come out of newspapers where like one person goes out

649
00:38:37,080 --> 00:38:39,040
Speaker 1: on a limb and says, hey, modern Democrats have a

650
00:38:39,080 --> 00:38:41,799
Speaker 1: duty to consider Bernie Sanders or something like that. You're

651
00:38:41,800 --> 00:38:43,880
Speaker 1: not going to hear that as like a like the

652
00:38:44,040 --> 00:38:47,400
Speaker 1: top of the Hour story from Rachel Maddow. There is

653
00:38:47,480 --> 00:38:50,880
Speaker 1: no media alternative. There's barely even like a paper that

654
00:38:51,120 --> 00:38:54,920
Speaker 1: is an alternative to the mainstream media narrative. Like the

655
00:38:55,000 --> 00:38:58,600
Speaker 1: people who were most insistent that the true story of

656
00:38:58,680 --> 00:39:02,200
Speaker 1: the New Hampshire primary two nights ago was klobish R

657
00:39:02,280 --> 00:39:05,080
Speaker 1: and Pete were New York Times reporters. We're supposed to

658
00:39:05,120 --> 00:39:11,200
Speaker 1: be like the liberal or like the leftist. Journalism is

659
00:39:11,280 --> 00:39:15,839
Speaker 1: definitely taking a hit, yeah, because it's hard to look, well,

660
00:39:16,000 --> 00:39:18,279
Speaker 1: we're not people don't We don't pay people to do

661
00:39:18,440 --> 00:39:21,880
Speaker 1: journalism anymore. And like the nature of how these outlets

662
00:39:21,920 --> 00:39:24,719
Speaker 1: work is no longer about like objectivity. It's like we

663
00:39:24,840 --> 00:39:28,560
Speaker 1: need the clicks, clicks and people to get these subscriptions right.

664
00:39:28,760 --> 00:39:30,839
Speaker 1: It's like don't say that, or else General Electric won't

665
00:39:30,840 --> 00:39:35,600
Speaker 1: advertise with us. It's like yeah, um, well, meanwhile, on

666
00:39:35,719 --> 00:39:39,440
Speaker 1: the right, the economy is so good that Trump is

667
00:39:40,000 --> 00:39:44,280
Speaker 1: slashing a federal worker pay raise. Yeah, it was supposed

668
00:39:44,320 --> 00:39:46,360
Speaker 1: to be. They were supposed to get a two and

669
00:39:46,400 --> 00:39:52,120
Speaker 1: a half percent raise and that has been cut down

670
00:39:52,440 --> 00:39:55,920
Speaker 1: to one percent for not just a couple like a

671
00:39:56,040 --> 00:39:59,160
Speaker 1: departments are not just a couple wherever here there. This

672
00:39:59,360 --> 00:40:03,200
Speaker 1: is for the entire like millions of federal workers, millions

673
00:40:03,280 --> 00:40:06,120
Speaker 1: of federal work So I'm not sure, like when you

674
00:40:06,239 --> 00:40:09,280
Speaker 1: look at a lot of them things that the President

675
00:40:09,320 --> 00:40:12,600
Speaker 1: has been tweeting, you know, like in the last what

676
00:40:12,880 --> 00:40:15,640
Speaker 1: even two weeks, but this is enough. Let's call it

677
00:40:15,719 --> 00:40:20,719
Speaker 1: the last two days best USA economy and history. Then

678
00:40:20,840 --> 00:40:25,640
Speaker 1: there's market up big today on very good economic news.

679
00:40:25,800 --> 00:40:29,640
Speaker 1: Jobs jobs, jobs. Uh. Then even in December, while the

680
00:40:29,719 --> 00:40:32,839
Speaker 1: world is not doing well economically, our country is doing

681
00:40:32,960 --> 00:40:38,040
Speaker 1: better perhaps than it has ever done before. Job jobs, jobs, Yeah,

682
00:40:38,400 --> 00:40:42,080
Speaker 1: And I mean just it's worth pointing out that a

683
00:40:42,239 --> 00:40:45,840
Speaker 1: one percent raise doesn't even keep pace with inflation. So

684
00:40:46,680 --> 00:40:51,960
Speaker 1: they're getting a pay cut. Million a million millions of

685
00:40:52,000 --> 00:40:56,160
Speaker 1: federal workers are getting a pay cut because the economy

686
00:40:56,239 --> 00:40:59,040
Speaker 1: is doing so well. But so what's wild is you know,

687
00:40:59,480 --> 00:41:01,640
Speaker 1: while he's here tweeting all this stuff like the economy

688
00:41:01,680 --> 00:41:05,000
Speaker 1: has never been wild. Prepare your bank accounts for everything,

689
00:41:05,040 --> 00:41:08,799
Speaker 1: prepare your rush cards. So much money. The reasoning when

690
00:41:08,800 --> 00:41:11,280
Speaker 1: they're like, wait, why are you cutting the pay raise

691
00:41:11,360 --> 00:41:14,399
Speaker 1: like that was scheduled, that was approved apparently, was saying

692
00:41:14,480 --> 00:41:17,440
Speaker 1: that the president is justified ordering the cut on the

693
00:41:17,560 --> 00:41:19,840
Speaker 1: grounds that the country is in the midst of a

694
00:41:20,040 --> 00:41:26,399
Speaker 1: quote national emergency or serious economic conditions affecting the general welfare. Huh,

695
00:41:27,280 --> 00:41:30,279
Speaker 1: so that allows him to quote implement alternative plans for

696
00:41:30,320 --> 00:41:34,400
Speaker 1: pay adjustments. So by that reasoning, what's the national emergency?

697
00:41:36,840 --> 00:41:38,480
Speaker 1: I don't know, man. And when you look at these

698
00:41:38,520 --> 00:41:40,640
Speaker 1: budgets that are being slashed, it's like there's there's not

699
00:41:40,719 --> 00:41:44,279
Speaker 1: money for ship. Yeah, America has always been in The

700
00:41:44,320 --> 00:41:49,160
Speaker 1: American public has always been uniquely and acutely susceptible to

701
00:41:50,200 --> 00:41:53,640
Speaker 1: you know, just any any situation where rich people are

702
00:41:53,680 --> 00:41:57,640
Speaker 1: getting richer and you know, poor people and people in

703
00:41:57,680 --> 00:42:02,320
Speaker 1: the middle class are are getting screwed because the mainstream

704
00:42:02,360 --> 00:42:06,080
Speaker 1: media is you know, plugged in with the rich people,

705
00:42:06,400 --> 00:42:12,080
Speaker 1: and uh, they've Yeah, it's just like this is I

706
00:42:12,160 --> 00:42:14,560
Speaker 1: think this all ties in together. You know, this is

707
00:42:14,640 --> 00:42:18,400
Speaker 1: why the mainstream media doesn't understand why people would be

708
00:42:19,080 --> 00:42:23,640
Speaker 1: wanting a change candidate or just explain to people. Look,

709
00:42:23,680 --> 00:42:25,720
Speaker 1: if you if you save one and a half percent

710
00:42:25,800 --> 00:42:28,640
Speaker 1: pay raise for millions of workers, that creates a lot

711
00:42:28,719 --> 00:42:32,000
Speaker 1: of money that you can then toss over to somebody

712
00:42:32,040 --> 00:42:34,439
Speaker 1: else or some other program that's not gonna help people,

713
00:42:34,560 --> 00:42:37,040
Speaker 1: or a tax cut or whatever. So I think that's

714
00:42:37,400 --> 00:42:39,480
Speaker 1: and those are you know. I think that's also that

715
00:42:39,800 --> 00:42:41,719
Speaker 1: I wish the media would do more of a job

716
00:42:41,800 --> 00:42:43,520
Speaker 1: of like explaining that too, rather than being like, I

717
00:42:43,560 --> 00:42:46,560
Speaker 1: can't believe he's cutting people's raises because they never they don't.

718
00:42:46,600 --> 00:42:50,239
Speaker 1: They want to leave out the connection to class that

719
00:42:50,600 --> 00:42:53,399
Speaker 1: puts it all together, because at this point that means

720
00:42:53,440 --> 00:42:55,640
Speaker 1: he's hooking up people in a sphere that most of

721
00:42:55,760 --> 00:42:59,680
Speaker 1: us don't will never know exactly. But it's more just

722
00:42:59,760 --> 00:43:01,360
Speaker 1: like I can't believe he's doing that, but economy is

723
00:43:01,360 --> 00:43:03,160
Speaker 1: so good, it's like no, but think about where that

724
00:43:03,320 --> 00:43:05,359
Speaker 1: money is going. That means money is being saved, which

725
00:43:05,400 --> 00:43:07,640
Speaker 1: means going to somebody else, And yes, what is the

726
00:43:08,239 --> 00:43:11,240
Speaker 1: is the economy really doing that well? Because Wall Street

727
00:43:11,320 --> 00:43:12,960
Speaker 1: is doing really Yeah, I feel like we're still in

728
00:43:13,040 --> 00:43:16,120
Speaker 1: a deficit. Yeah, well, yeah we have. We're completely in debt.

729
00:43:16,160 --> 00:43:18,520
Speaker 1: I think really the real measure of the economy is

730
00:43:18,640 --> 00:43:21,360
Speaker 1: how many jobs do you need right just to support

731
00:43:21,400 --> 00:43:23,319
Speaker 1: a family? You know, jobs are going way up because

732
00:43:23,360 --> 00:43:28,200
Speaker 1: people need like three y um, all right, let's take

733
00:43:28,200 --> 00:43:40,359
Speaker 1: another quick break. We'll be right back, and we're back,

734
00:43:41,160 --> 00:43:46,560
Speaker 1: and let's talk about some some merch you can buy

735
00:43:46,719 --> 00:43:50,520
Speaker 1: on Pee Booter Judges store. Uh, in case you haven't already,

736
00:43:50,560 --> 00:43:54,200
Speaker 1: I mean, I'm sure you've all. Uh. Can I say

737
00:43:54,239 --> 00:43:58,000
Speaker 1: that he's such a clown? Like, yeah, I cannot deal

738
00:43:59,040 --> 00:44:04,080
Speaker 1: Pete mayor Pete did you see the pictures of him

739
00:44:04,600 --> 00:44:07,600
Speaker 1: smiling where it's clear like he's been practicing a smile

740
00:44:07,880 --> 00:44:10,520
Speaker 1: in in the mirror, like there was a focus group

741
00:44:10,600 --> 00:44:12,680
Speaker 1: on some of his smiles. They're like, I don't know

742
00:44:12,800 --> 00:44:15,480
Speaker 1: how he got involved with this, Like who pushed him?

743
00:44:15,960 --> 00:44:19,200
Speaker 1: It doesn't feel like this is his idea. The most

744
00:44:19,239 --> 00:44:23,040
Speaker 1: cynical version on the internet is the CIA. It's the

745
00:44:23,160 --> 00:44:27,000
Speaker 1: most cynical version. The one in background is at a

746
00:44:27,200 --> 00:44:30,759
Speaker 1: consulting company that has a lot of history working with

747
00:44:30,960 --> 00:44:33,399
Speaker 1: and for the c Yeah, and I think when people

748
00:44:33,480 --> 00:44:36,279
Speaker 1: put out stuff that like, you know, the cynical look

749
00:44:36,360 --> 00:44:38,759
Speaker 1: at his like service was like after he did worked

750
00:44:38,800 --> 00:44:41,920
Speaker 1: at the consulting firm, he did like his service in

751
00:44:41,960 --> 00:44:44,200
Speaker 1: the military, just to sort of add that to his

752
00:44:44,320 --> 00:44:47,800
Speaker 1: resume and come right back check checked all the boxes

753
00:44:47,880 --> 00:44:52,000
Speaker 1: to be a great candidate. But I think really regard wherever,

754
00:44:52,200 --> 00:44:56,959
Speaker 1: whatever the origin story of this very boring person, whatever

755
00:44:57,040 --> 00:44:58,960
Speaker 1: that is. I mean, it's very clear that he's just

756
00:44:59,120 --> 00:45:04,520
Speaker 1: so out of touch with most things, especially with speaking

757
00:45:04,560 --> 00:45:07,160
Speaker 1: in front of black audiences. That clip at him with

758
00:45:07,280 --> 00:45:10,080
Speaker 1: Charlemagne the God that because I hadn't seen it, there

759
00:45:10,160 --> 00:45:13,040
Speaker 1: was a clip, it's it's an old clip um where

760
00:45:14,239 --> 00:45:16,880
Speaker 1: he was basically saying like he was like, yeah, you know,

761
00:45:17,000 --> 00:45:19,960
Speaker 1: we gotta get the dark money out of politics. They're

762
00:45:19,960 --> 00:45:22,000
Speaker 1: talking about dark money and like how like you know,

763
00:45:22,160 --> 00:45:25,680
Speaker 1: corporations and things can give to champaigns fantastic, And then

764
00:45:25,920 --> 00:45:27,400
Speaker 1: right after he like pivot, He's like, I'm not a

765
00:45:27,440 --> 00:45:29,840
Speaker 1: fan of the current campaign finance system. The reality is

766
00:45:29,880 --> 00:45:32,080
Speaker 1: not going to get better, I says, So there's things

767
00:45:32,160 --> 00:45:34,640
Speaker 1: we can and should do right away. They can deal

768
00:45:34,719 --> 00:45:39,040
Speaker 1: with black money. I'm I'm sorry dark money. And then

769
00:45:39,160 --> 00:45:41,560
Speaker 1: like Charlotte Magney. He didn't make a joke, but he

770
00:45:41,760 --> 00:45:44,400
Speaker 1: like scratched his forehead in a way that was clearly

771
00:45:44,480 --> 00:45:52,280
Speaker 1: like SMDH type moment, and Charlemagne still endorsed Pete Buddha

772
00:45:52,360 --> 00:45:57,000
Speaker 1: judge I have not heard otherwise. Very interesting, but very interesting.

773
00:45:57,080 --> 00:45:59,279
Speaker 1: But then afterwards, after that, he doubled in it like

774
00:45:59,360 --> 00:46:02,040
Speaker 1: I'm always how to take black money contributions into my

775
00:46:02,160 --> 00:46:08,600
Speaker 1: campaign and it was just so awkward. And then I'm

776
00:46:08,680 --> 00:46:11,680
Speaker 1: just thinking about that, like the saying things like that,

777
00:46:11,840 --> 00:46:14,840
Speaker 1: coupled with like this merch of invest in Black America

778
00:46:14,880 --> 00:46:17,680
Speaker 1: T shirt where it looks like I'm trying to remember

779
00:46:17,800 --> 00:46:23,359
Speaker 1: what the aesthetic this is or like old cross colors. Yeh,

780
00:46:23,480 --> 00:46:27,640
Speaker 1: that's this. This is very the nineties. But he didn't

781
00:46:27,680 --> 00:46:31,279
Speaker 1: google how to talk to black people. I see, I

782
00:46:31,360 --> 00:46:33,279
Speaker 1: see you, Pete. He's going to start talking in like

783
00:46:33,400 --> 00:46:36,640
Speaker 1: in Living color tropes. He's like, he's like I loved

784
00:46:36,719 --> 00:46:43,759
Speaker 1: men on film Amazing. He's like, did you guys hear

785
00:46:43,920 --> 00:46:50,320
Speaker 1: Bernie's hated it? And that's two snaps in a Twitter.

786
00:46:50,400 --> 00:46:54,000
Speaker 1: I'm I'm out of here. Yeah that this invest in

787
00:46:54,040 --> 00:46:58,920
Speaker 1: Black America's shirt is very uh problematic, And yeah, I

788
00:46:58,960 --> 00:47:01,480
Speaker 1: don't know what's sugaring. Yeah, well I don't know what

789
00:47:01,760 --> 00:47:03,560
Speaker 1: what investment is even happening. What do you what do

790
00:47:03,640 --> 00:47:06,239
Speaker 1: you mean by that? Yeah? I mean if he's being

791
00:47:06,320 --> 00:47:08,400
Speaker 1: in Black America by buying a T shirt for a

792
00:47:08,440 --> 00:47:11,120
Speaker 1: white guy who's mayor of a town in which more

793
00:47:11,160 --> 00:47:14,480
Speaker 1: than of black people are living below the poverty line. Okay,

794
00:47:15,680 --> 00:47:17,960
Speaker 1: there you put that one down there you go. Well, yeah,

795
00:47:17,960 --> 00:47:19,719
Speaker 1: and I think because he was saying like he has

796
00:47:19,760 --> 00:47:23,360
Speaker 1: a like this his robust plan to help out African

797
00:47:23,400 --> 00:47:26,400
Speaker 1: American people in this country. But again, no matter what

798
00:47:26,520 --> 00:47:28,680
Speaker 1: you call it, you can call it the the Nat

799
00:47:28,840 --> 00:47:32,799
Speaker 1: Turner Plan, the Frederick Douglas Plan, the whoever plan. It's

800
00:47:32,960 --> 00:47:35,800
Speaker 1: it's when your actions and how you behave and operate

801
00:47:35,840 --> 00:47:37,520
Speaker 1: as a politician do not line up with that. It

802
00:47:37,560 --> 00:47:40,560
Speaker 1: doesn't matter what you say. Also, he wanted people to

803
00:47:40,680 --> 00:47:44,440
Speaker 1: know that the shirt was quote designed by black staff.

804
00:47:45,360 --> 00:47:49,960
Speaker 1: So see that's the most white people should right to exactly.

805
00:47:50,040 --> 00:47:52,160
Speaker 1: Oh you're mad, Well, a black guy did it, so

806
00:47:52,760 --> 00:47:55,640
Speaker 1: you should get mad at him, not because I trusted

807
00:47:55,719 --> 00:47:59,560
Speaker 1: him to do so what the fuck? Yeah? So that's

808
00:48:00,440 --> 00:48:06,400
Speaker 1: what that's what O the mertual. Yeah, there there's like

809
00:48:06,480 --> 00:48:10,200
Speaker 1: a whole raft of the there's where is this article from?

810
00:48:10,239 --> 00:48:13,319
Speaker 1: I think it was the Washington Post, which UH has

811
00:48:13,840 --> 00:48:17,960
Speaker 1: been really a fan of running op eds about how

812
00:48:19,200 --> 00:48:22,239
Speaker 1: fucked the world would be with Bernie Sanders. But um,

813
00:48:22,800 --> 00:48:26,040
Speaker 1: the Washington Post of this article about all the quote

814
00:48:26,080 --> 00:48:31,200
Speaker 1: identity focused products in the different UH stores, jun Toasts

815
00:48:31,320 --> 00:48:36,080
Speaker 1: with Pete was one of the shirts for sale. UH.

816
00:48:36,560 --> 00:48:40,719
Speaker 1: And then Tom Steyer sells signs in nine languages, UH

817
00:48:40,920 --> 00:48:45,719
Speaker 1: and for nearly every permutation of Spanish speaking voter, that's ay,

818
00:48:46,640 --> 00:48:51,600
Speaker 1: a climate change cannot wait, which true, Yeah, alright Tom,

819
00:48:52,040 --> 00:48:53,760
Speaker 1: and then we can't do that money. It was funny.

820
00:48:53,880 --> 00:48:58,239
Speaker 1: It was funny because Bernie Sanders was running through everybody

821
00:48:58,600 --> 00:49:02,759
Speaker 1: who like in the order that they placed, you know,

822
00:49:02,920 --> 00:49:07,239
Speaker 1: and we had great race from you know, Pete and

823
00:49:07,480 --> 00:49:14,759
Speaker 1: Amy and Joe and Elizabeth and and Styre was the

824
00:49:14,800 --> 00:49:17,239
Speaker 1: next one. And he was like and yeah, so that's

825
00:49:17,640 --> 00:49:20,160
Speaker 1: like and just like move forward. I was like, I

826
00:49:20,280 --> 00:49:22,920
Speaker 1: know Tom Styer was just sitting at home just with

827
00:49:23,120 --> 00:49:29,080
Speaker 1: his heartbroken. He's loves loves him some Bernie. Uh. There's

828
00:49:29,120 --> 00:49:32,120
Speaker 1: a ice scraper for Amy Kloba Shar Kloba Shar, which

829
00:49:32,200 --> 00:49:35,320
Speaker 1: might be the most on on point a piece of

830
00:49:35,400 --> 00:49:39,799
Speaker 1: merch because she loves to use an ice scraper. Yeah,

831
00:49:40,080 --> 00:49:42,399
Speaker 1: it is. I always see pictures when I see people

832
00:49:42,560 --> 00:49:46,000
Speaker 1: like in winter towns, that's what I call him, with

833
00:49:46,200 --> 00:49:47,960
Speaker 1: snow like nine feet high on their crime. Like, do

834
00:49:48,000 --> 00:49:50,640
Speaker 1: you just take the ellen like I can do? Drive this.

835
00:49:51,120 --> 00:49:53,080
Speaker 1: You have to get all that ship off your car. Yeah,

836
00:49:53,760 --> 00:49:55,600
Speaker 1: you don't have to get it off the top. Get

837
00:49:55,640 --> 00:49:57,600
Speaker 1: the windshield right though. You gotta get the windshields so

838
00:49:57,760 --> 00:50:00,600
Speaker 1: you can see through that ship. See that. And sometimes

839
00:50:00,680 --> 00:50:03,920
Speaker 1: there's just like a fucking inch thick of ice that

840
00:50:04,000 --> 00:50:06,919
Speaker 1: you just have to break through. Sand that ship down.

841
00:50:07,160 --> 00:50:13,400
Speaker 1: And also you get your you're defroster going on the backside,

842
00:50:13,480 --> 00:50:15,960
Speaker 1: so it's slowly melting through it. But you can't pay

843
00:50:16,000 --> 00:50:18,600
Speaker 1: anyone to do that. Just do it for you. Oh yeah,

844
00:50:18,640 --> 00:50:24,520
Speaker 1: of course you think you thought you meant. I decided

845
00:50:24,560 --> 00:50:27,800
Speaker 1: and I've designed an app for that. Come scrape my

846
00:50:27,880 --> 00:50:33,759
Speaker 1: motherfucking carr. Great scene of that happening in Fargo with

847
00:50:33,880 --> 00:50:36,840
Speaker 1: William H. Macy. And then there's some cool shirts with

848
00:50:37,600 --> 00:50:40,840
Speaker 1: for other stuff. Amy has a shirt that's this isn't

849
00:50:40,920 --> 00:50:45,840
Speaker 1: fly over country, this is home, which just everything that

850
00:50:45,960 --> 00:50:49,280
Speaker 1: doesn't make sense unless you fly over it, and if

851
00:50:49,320 --> 00:50:51,640
Speaker 1: you're around them in the middle of the country, be like, yeah,

852
00:50:51,680 --> 00:50:55,399
Speaker 1: I get that, Yeah, yeah, we're here wrong. Uh yeah.

853
00:50:55,520 --> 00:50:58,520
Speaker 1: Everything about her just rings false to me, and I

854
00:50:58,520 --> 00:51:01,160
Speaker 1: don't really yeah, I think she's pretty real. I just

855
00:51:01,239 --> 00:51:04,000
Speaker 1: don't think yeah, I just think she I just don't

856
00:51:04,040 --> 00:51:07,440
Speaker 1: like her ideas. This is confusing. I just I just

857
00:51:07,520 --> 00:51:11,799
Speaker 1: don't get it. The flyover country, Yeah yeah, hey, it's home,

858
00:51:12,120 --> 00:51:14,320
Speaker 1: you know. Yeah. I just just saying, like, don't be

859
00:51:14,400 --> 00:51:16,880
Speaker 1: so disparaging by calling you flat. This is our this

860
00:51:17,000 --> 00:51:19,480
Speaker 1: is our house. I think. I think my whole her

861
00:51:20,080 --> 00:51:22,480
Speaker 1: ring of false is just hearing her do bad stand

862
00:51:22,560 --> 00:51:25,960
Speaker 1: up material over and over. It has totally fucked been

863
00:51:26,040 --> 00:51:28,200
Speaker 1: poisoned by That is not fair at all. There's a

864
00:51:28,239 --> 00:51:30,359
Speaker 1: clip of her doing the same joke over and over

865
00:51:30,440 --> 00:51:32,880
Speaker 1: and over and over again, and she's slowly dialing it

866
00:51:32,920 --> 00:51:35,560
Speaker 1: in where she's like, you know, Donald Trump, Yeah, she

867
00:51:35,680 --> 00:51:38,239
Speaker 1: was just saying like I was announcing my campaign in

868
00:51:38,320 --> 00:51:41,719
Speaker 1: a blizzard, and he said something about I don't know

869
00:51:41,880 --> 00:51:44,359
Speaker 1: she's The punch line is like me, ice, lady, I'd

870
00:51:44,400 --> 00:51:46,320
Speaker 1: like to see how your hair would hold up in

871
00:51:46,360 --> 00:51:49,480
Speaker 1: a blizzard. The punch line, And then there's this clip.

872
00:51:49,520 --> 00:51:51,759
Speaker 1: It's like ninety seconds where you hear it over and

873
00:51:51,960 --> 00:51:59,720
Speaker 1: over and over every You gotta have a can up something.

874
00:51:59,840 --> 00:52:01,320
Speaker 1: This is what you should do. You should be consulting

875
00:52:01,360 --> 00:52:04,360
Speaker 1: for campaigns. Okay, seriously, there's other money in that, Like

876
00:52:04,440 --> 00:52:07,120
Speaker 1: I know, yeah, I know a comedy writer who made

877
00:52:07,160 --> 00:52:10,160
Speaker 1: it this thing to like be Bill Clinton's comedy writer

878
00:52:10,520 --> 00:52:15,360
Speaker 1: and made a good living that isn't what's his face? Like?

879
00:52:16,000 --> 00:52:18,200
Speaker 1: What's his face? Martin? Yeah, it seems like it was

880
00:52:18,239 --> 00:52:21,360
Speaker 1: an intern at the White House, wasn't. Yeah, that's funny. Well, Sydney,

881
00:52:21,400 --> 00:52:23,840
Speaker 1: it's been a pleasure having you. Oh my gosh, this

882
00:52:23,960 --> 00:52:28,000
Speaker 1: has been so good, and this tour they're so lucky

883
00:52:28,080 --> 00:52:31,520
Speaker 1: to have you and aren't in all these places. It's true.

884
00:52:31,719 --> 00:52:33,719
Speaker 1: It's true they don't know how good they have it.

885
00:52:35,480 --> 00:52:39,800
Speaker 1: Smiles with the voices. The voices come out to it

886
00:52:39,880 --> 00:52:42,080
Speaker 1: the show. The voice is really coming out. Give me

887
00:52:42,080 --> 00:52:47,760
Speaker 1: a few natty lights. Where can people find you? Here? You? Okay?

888
00:52:47,920 --> 00:52:52,040
Speaker 1: You can find me on Twitter, just said NYC, j

889
00:52:52,280 --> 00:52:55,160
Speaker 1: U S T S y D N y C. And

890
00:52:55,239 --> 00:52:57,960
Speaker 1: then on Instagram. That's where I thrive. I mean, it's

891
00:52:58,000 --> 00:53:00,600
Speaker 1: pretty much like a picture book, you know, um and

892
00:53:00,719 --> 00:53:04,840
Speaker 1: people love pictures. So it's just said b W j

893
00:53:05,000 --> 00:53:07,960
Speaker 1: U s T s y d b W and the

894
00:53:08,000 --> 00:53:10,880
Speaker 1: stories are amazing. I always find myself drunkenly responding to

895
00:53:10,920 --> 00:53:14,800
Speaker 1: you something. Yes, I know you argue with what I'm like,

896
00:53:14,880 --> 00:53:16,400
Speaker 1: look at the next thing like, I don't know. Okay,

897
00:53:17,880 --> 00:53:21,040
Speaker 1: it's much appreciate it. Uh And is there a tweet

898
00:53:21,200 --> 00:53:24,879
Speaker 1: or some other post work of social media that you've

899
00:53:24,880 --> 00:53:29,560
Speaker 1: been enjoying? Oh? Yes, um love Megan Stalter. She's a

900
00:53:29,640 --> 00:53:34,160
Speaker 1: funny one. She does great videos and she just reminds

901
00:53:34,200 --> 00:53:37,959
Speaker 1: me that like, life is not so hard, have fun.

902
00:53:39,000 --> 00:53:41,880
Speaker 1: And she says, I say some crazy things in my

903
00:53:42,040 --> 00:53:45,440
Speaker 1: cameo videos, so if you ever don't like, please just

904
00:53:45,560 --> 00:53:47,680
Speaker 1: let me know and I can redo it. There's a

905
00:53:47,760 --> 00:53:50,200
Speaker 1: lot of videos, so sometimes I switch it up by

906
00:53:50,239 --> 00:53:53,080
Speaker 1: saying that your spouse is cheating on you or something

907
00:53:53,400 --> 00:53:56,080
Speaker 1: and that's not for you. I know now XO XO

908
00:53:56,400 --> 00:54:02,799
Speaker 1: love you. Uh so good? That's so good? Where can

909
00:54:02,840 --> 00:54:06,000
Speaker 1: people find you? Twitter? Instagram at Miles of Gray and

910
00:54:06,120 --> 00:54:08,800
Speaker 1: also my other show for twenty Day Fiance, where we

911
00:54:08,880 --> 00:54:14,120
Speaker 1: talk about with my co host Sophie Alexandra. Uh. Tweet

912
00:54:14,160 --> 00:54:16,239
Speaker 1: I like is from Andrew t at Andrew t I

913
00:54:17,239 --> 00:54:21,439
Speaker 1: uh and respond to Andrew Yang. The number of people

914
00:54:21,440 --> 00:54:23,600
Speaker 1: who are telling me that Andrew Yang dropped out is

915
00:54:23,680 --> 00:54:28,479
Speaker 1: probably saying something bad about my personal brand. He tied

916
00:54:28,560 --> 00:54:32,880
Speaker 1: himself very closely to that one. Yeah, alright, Andrew Yng

917
00:54:33,680 --> 00:54:37,880
Speaker 1: the couple of things weird. Alex peren Uh is the

918
00:54:37,920 --> 00:54:41,160
Speaker 1: person I was quoting when I said that it's sort

919
00:54:41,200 --> 00:54:43,680
Speaker 1: of impossible to or His tweet was, it's sort of

920
00:54:43,680 --> 00:54:46,480
Speaker 1: impossible to accurately describe the way cable news is covering

921
00:54:46,960 --> 00:54:50,400
Speaker 1: this campaign without sounding like the most hopeless. Sandrew Styheart

922
00:54:51,040 --> 00:54:58,400
Speaker 1: and Jesse at momadge Stick tweeted of marriage is yelling

923
00:54:58,480 --> 00:55:03,320
Speaker 1: what from a different room. Okay, that is accurate, absolutely accurate.

924
00:55:03,960 --> 00:55:09,680
Speaker 1: Uh think on Twitter here, No, I just I'm always genuine.

925
00:55:09,960 --> 00:55:13,520
Speaker 1: Uh uh yeah, you're not yet, you're your Yeah you

926
00:55:13,600 --> 00:55:16,279
Speaker 1: can't hear uh. You can find me on Twitter at

927
00:55:16,360 --> 00:55:18,400
Speaker 1: Jack on the Score. Bring you find us on Twitter

928
00:55:18,520 --> 00:55:21,600
Speaker 1: at daily Zeitgeist. We're at the Daily Zeitgeist on Instagram,

929
00:55:21,640 --> 00:55:24,479
Speaker 1: we have a Facebook fan page and a website. Daily

930
00:55:24,640 --> 00:55:27,319
Speaker 1: zeitgeis dot com where we post our episodes and our

931
00:55:27,400 --> 00:55:30,279
Speaker 1: pot No. We link off the information that we talked

932
00:55:30,320 --> 00:55:33,919
Speaker 1: about today's episode as well as this song we ride

933
00:55:33,960 --> 00:55:36,239
Speaker 1: out on Myles books, I'm gonna be today. Uh this

934
00:55:36,440 --> 00:55:38,960
Speaker 1: is okay. So Denzel Curry was one of my favorite

935
00:55:39,040 --> 00:55:42,120
Speaker 1: rappers from Florida that teamed up with Kenny Beats the

936
00:55:42,160 --> 00:55:45,920
Speaker 1: producer to put out this amazing visual piece. Um and

937
00:55:46,280 --> 00:55:49,920
Speaker 1: it's This is from the album called Unlocked and the

938
00:55:50,040 --> 00:55:52,560
Speaker 1: track is called take it Back and listen to the

939
00:55:52,680 --> 00:55:54,960
Speaker 1: lyrics on this there's references to Indiana Jones and all

940
00:55:55,040 --> 00:55:56,920
Speaker 1: kinds of ship. But it's an amazing album. Check out

941
00:55:56,960 --> 00:55:59,560
Speaker 1: the visual piece and put that in your mind. Take

942
00:55:59,600 --> 00:56:03,239
Speaker 1: it Back Underscore YouTube. All right, Well, the Daily Set

943
00:56:03,239 --> 00:56:04,920
Speaker 1: you guys is a production of by Her Radio for

944
00:56:05,040 --> 00:56:07,560
Speaker 1: More podcast for my Her Radio, visit the Her Radio app,

945
00:56:07,600 --> 00:56:10,120
Speaker 1: Apple podcast, or wherever you listen to your favorite chose

946
00:56:10,160 --> 00:56:12,360
Speaker 1: that's gonna do it for this morning. We will be

947
00:56:12,480 --> 00:56:14,800
Speaker 1: back to this afternoon. Tell you what is trending and

948
00:56:14,880 --> 00:56:17,600
Speaker 1: we will talk to you then by get it. Like Frestion,

949
00:56:17,680 --> 00:56:19,960
Speaker 1: Chuck List is trying to pick my brain apart looking

950
00:56:20,000 --> 00:56:21,839
Speaker 1: at the menu. What the funk up? I'm the main

951
00:56:21,920 --> 00:56:25,239
Speaker 1: with our the picture getting sush ship, never no fool ship.

952
00:56:25,440 --> 00:56:27,440
Speaker 1: Try to do this. We end up on sun sush

953
00:56:27,480 --> 00:56:29,680
Speaker 1: ship and you don't want it, but it There's no

954
00:56:29,920 --> 00:56:32,360
Speaker 1: bumbat cat straight to pick you with season for you

955
00:56:32,520 --> 00:56:35,400
Speaker 1: to come back. Everything that kids tells pits snigger is

956
00:56:35,440 --> 00:56:38,680
Speaker 1: hard facts. I'll be sticking to the paper like a thumbtap.

957
00:56:39,080 --> 00:56:43,279
Speaker 1: I'm ana pay, motherfucker knentucker. I don't trust him, I

958
00:56:43,320 --> 00:56:46,040
Speaker 1: don't love a little brother. Don't make me reach out

959
00:56:46,120 --> 00:56:48,600
Speaker 1: and touch you. I don't canny, but I'll turn your

960
00:56:48,640 --> 00:56:50,160
Speaker 1: hands to gushes. Fuck up.