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Speaker 1: Hello the Internet, and welcome to season eighty eight, episode

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Speaker 1: four up Their Daily Sight Geast, a production of My

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

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Speaker 1: deep die into America's sharing consciousness and say, officially off

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Speaker 1: the top, hey, fuck Coke Industries and funck Fox News.

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Speaker 1: It's Thursday, June two thousand nineteen. My name's Jack O'Brien.

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Speaker 1: A K. I won't deny it. I am Jack O'Brien.

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Speaker 1: You don't want to fuck with me? Got the pot

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Speaker 1: hosting wheel Miles G. But they can't funk with t

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Speaker 1: d Z. Yeah, that's courtesy of Christy Yamagucci Man, and

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Speaker 1: I am thrilled to be joined by today's acting co host,

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Speaker 1: Mr next Storm. He's stomped. He's stomped. He's stomped. He's

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Speaker 1: in my head That is courtesy Jack Uh stump, He's stump,

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Speaker 1: he's in my headphones. Uh that's right. He's coming right

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Speaker 1: at you, ladies. Gentleman Nick, it's great to have you

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Speaker 1: on this side of the glass. This is not what

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Speaker 1: I expected you to look like, but yeah, good. Nonetheless,

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Speaker 1: and we're thrilled to be joined in our third seat

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Speaker 1: by another podcaster here who the two of us have

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Speaker 1: worked with the very talented and hilarious Katie Golden. Yep,

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Speaker 1: it's yeah, good one. How's it going, Katie? Pretty darn good. Yeah,

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Speaker 1: you're the host of a show, Creature Future. I'm told

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Speaker 1: we've been on my show? Are not? KOI? I was

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Speaker 1: just very drunk when I was But yeah, like the

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Speaker 1: liquor up, that's true. Yeah, you can't talk about nature

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Speaker 1: without a couple of drinks in you, you know. Yeah, Well, Katie,

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

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Speaker 1: in a moment, but first we're going to tell our

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Speaker 1: listeners a few of the things we're talking about, Like

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Speaker 1: that Kim kardash And just trademarked the word kimono for

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Speaker 1: her new line of shapewear. We're gonna talk about that.

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Speaker 1: I don't see why anyone would have a problem with that,

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Speaker 1: but we'll just check in with it just in case. Uh.

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Speaker 1: Sharman has put out a forever roll of toilet paper. Um,

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Speaker 1: so that's good for all of us. I think Uh

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Speaker 1: Trump just said he's glad John McCain is dead and

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Speaker 1: he hopes he rots in hell. Uh not in those

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Speaker 1: words exactly. Mueller is going to testify. We're getting excited

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Speaker 1: about that. We're gonna check in with what the Republicans

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Speaker 1: are thinking about the democratic field, what some Republican strategists

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Speaker 1: are thinking, and then what one Mr Tucker Carlson thinks

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Speaker 1: of one of the candidates. And just real quick, wanted

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Speaker 1: to say that we are going to be covering last

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Speaker 1: night's and tonight's democratic debates on tomorrow's episode. So if

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Speaker 1: you tuned in for that, uh, turn it off. I

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Speaker 1: don't want to expect any sort of insight into anything

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Speaker 1: political from these two dummies. Sorry, I guess. But first, Katie,

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

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Speaker 1: your search history that's revealing about who you are? Probably, um,

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Speaker 1: wolverine frog, Harry, question mark, I know exactly what you're

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Speaker 1: talking about Google. Yeah, other other things like, um, I'm

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Speaker 1: a very curious person. Um there's like dog bladder stones,

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Speaker 1: big pictures, pictures of big ones. Um, you just put

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Speaker 1: in pictures of big ones unto your Google. Um, well

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Speaker 1: that that auto filled for me. Um pictures of Yeah,

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Speaker 1: we know, Katie, pictures of big ones, pictures of big ones. Uh.

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Speaker 1: So wait, the hairy wolverine frog is that the one

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Speaker 1: that breaks its bone through its arm. Yes. Actually just

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Speaker 1: talked to Sort Boo about that on the latest episode

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Speaker 1: of Creature Feature, which you can listen to. I'm assuming

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Speaker 1: if you're listening to this, you have the capacity to

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Speaker 1: listen to that one too. Yeah. I'm not trying to

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Speaker 1: be passive aggressive about it and not being like, you know, like, hey,

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Speaker 1: like if you can listen to this, I mean, couldn't

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Speaker 1: you just couldn't you just listen to um? But yeah,

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Speaker 1: it's about it's a frog who will give itself compound

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Speaker 1: fractures to use his wolverine claws, and they also have

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Speaker 1: weird skin hairs. It's really cool. I won't say anymore

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Speaker 1: about it. You'll just have to listen to that Dangle podcast,

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Speaker 1: won't you. So even if I asked you more questions

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Speaker 1: about it, you just refuse, uh bold move. What is

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Speaker 1: something you say is underrated? So? Uh, there's this thing

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Speaker 1: that I've known about for quite a while called hydrochloidal

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Speaker 1: band aids, and they are great. I love them for blisters,

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Speaker 1: for pimples. Uh, they're just recently I've seen them being

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Speaker 1: marketed as like these kind of fruit fruit things on

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Speaker 1: Amazon where it's like, oh, these incredible new like blemish

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Speaker 1: stopping technology. It's like, no, you can just go to

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Speaker 1: CVS and get much cheaper ones. They're um and big

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Speaker 1: like bigger ones and they're great, Like I get my

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Speaker 1: my feet are very sensitive to getting just awful horrible yes,

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Speaker 1: now big old blisters and so um. I just wanted

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Speaker 1: the people to know that you don't have to spend

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Speaker 1: a bunch of money on like luxury hydrocloidal band aids.

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Speaker 1: They already exist in the store. What do they look like? What?

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Speaker 1: What would I looks like a box of band aids,

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Speaker 1: but it says that they're hydrocloidal on the box. They'll

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Speaker 1: they'll they'll be with like the other band aids. But

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Speaker 1: they do look they're weird because they're kind of gross

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Speaker 1: because like if you put it on some sort of

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Speaker 1: weeping wound, they'll like absorb the fluids like a spy engine.

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Speaker 1: Then like you pull it off and it just like,

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Speaker 1: excuse me, Nick is vomiting violently into a trash. I

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Speaker 1: don't know why. I think I just chose this one

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Speaker 1: because I like saw some ad for like these things.

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Speaker 1: It's like, no, those already exist, and I just don't listen.

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Speaker 1: I'm doing my part. You don't go and like buy

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Speaker 1: some kind of fancy high end beauty products, right, you

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Speaker 1: could get for three dollars in a library card. H

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Speaker 1: my right, good hunting anyone else? So it is it

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Speaker 1: the little band aids for like corns and stuff like that. Okay, yeah, yeah,

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Speaker 1: yeah they look you can put that on acne and

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Speaker 1: it treats the acne. I mean, it really depends. I

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Speaker 1: don't want to say. It depends on your skin type.

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Speaker 1: Some people are sensitive to adhesive. I am certainly that

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Speaker 1: kind of person to have to be careful you see acne.

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Speaker 1: But if you you know, don't pick up your acne.

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Speaker 1: But if like you have like a blemish, Okay, we're

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Speaker 1: adults here, we're adults to acne. Here, My corns have acne.

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Speaker 1: Oh yeah, well then I mean you got to lose

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Speaker 1: the foot. Yeah, there's no saving that foot. Um. Yeah,

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Speaker 1: you just put them on and what they do is

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Speaker 1: they just like they helped dry out the blemish. So yeah,

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Speaker 1: it's real nasty. Cool. That's a that's a good hack.

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Speaker 1: But it's also good for like if you get like

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Speaker 1: a like I've used them on paper cuts where it's

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Speaker 1: really hard to kind of you know, just like getting

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Speaker 1: a regular band aid, when you put it on your hand,

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Speaker 1: it gets all wet and there's nothing there's no worse.

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Speaker 1: Seeing the feeling of a wet band aid on your

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Speaker 1: finger after washing the dishes is maybe the worst thing

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Speaker 1: that has ever happened to me. And I've had a

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Speaker 1: rough life. Things are good. Well, Katie, what is something

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Speaker 1: you think is overrated? This was a lot easier for

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Speaker 1: me to answer, which says a lot about me. But uh,

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Speaker 1: have an internet troll? Can I just read you a

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Speaker 1: list of choices that I wrote down, and I can

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Speaker 1: select which one you want me to talk about. I

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Speaker 1: wrote down Thomas Friedman, centrists, horseshoe theory, and then French tuck.

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Speaker 1: I don't know what the French tuck is, so it's

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Speaker 1: probably not worth knowing. So we're gonna put that one out.

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Speaker 1: Horseshoe theory, I'm assuming is some sort of strategy for

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Speaker 1: playing the game of horse shoes. And so let's go

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Speaker 1: as centrists. Why are centrists underrated? Pick aside? Come on,

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Speaker 1: come on, no, I just like I'm sort of irritated

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Speaker 1: by like it's it's specifically about the current dialogue in

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Speaker 1: the country where it's like people want a sensible centrist

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Speaker 1: candidates like, no, they absolutely don't. Have you seen the

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Speaker 1: world right now? Have you seen like the current Dare

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Speaker 1: I say it the Zeitgeist of the day. That's actually

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Speaker 1: just an automated feature and we have put in anytime

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Speaker 1: you guys, you've guys have gotten a soundboards since I've

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Speaker 1: been here, Dan, I just said zeitgeist. You have to

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Speaker 1: if you're playing with the thing. Yeah, thank you, very

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Speaker 1: slow motion. Uh yeah, okay, that's what I thought about centrist.

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Speaker 1: But let me tell you about French tuch. Hang on French.

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Speaker 1: I learned about this on the new The Queer Eye Show,

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Speaker 1: which is great, great show, but and they do the

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Speaker 1: French tuck on this show and it looks really good.

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Speaker 1: It's like, oh, you can tuck your shirt and partially

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Speaker 1: and it looks nice and fashionable, and I'm like, oh great,

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Speaker 1: they look so good. I try it. It always makes

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Speaker 1: me look so dumb. I cannot do it without looking

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Speaker 1: like a total idiot who like got half dressed and

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Speaker 1: like walked out the door and oh sorry. A French

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Speaker 1: tuch is when you partially tuck in your shirt front,

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Speaker 1: just the front, and then you kind of like tuck it, yeah,

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Speaker 1: rakishly tuck it. Then you kind of like half pull

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Speaker 1: it out and just like let it drape around you.

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Speaker 1: And somehow on the show they do it in a

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Speaker 1: way it's like that looks great. If you try it

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Speaker 1: at home, you will look so fucking stupid. Stylists love

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Speaker 1: to do that, Yeah, they do, and somehow when they

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Speaker 1: do it looks great. But then I do it on

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Speaker 1: myself and it's just like, I look, I just look

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Speaker 1: like I looked like I was like went to the

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Speaker 1: bathroom and was wiping and then got my shirt stuck

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Speaker 1: in my butt or something, and I went out of

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Speaker 1: the bathroom and I was like, well, are you choosing

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Speaker 1: that specific to it? In hartially tucker in the back

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Speaker 1: in the middle of it and like violently your shirts Like, um,

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Speaker 1: all right, that's good to know. And horseshoe theory, was

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Speaker 1: that right? That it's a it's measuring the wind speed,

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Speaker 1: velocity of which way your horseshoes are going. Now you

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Speaker 1: gotta take it to the horse. You know you got

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Speaker 1: you gotta take it to your opponent A very offensive mind.

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Speaker 1: This is Thomas Freedman who came up with this theory.

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Speaker 1: No no, these are all unrelated. I just I hate

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Speaker 1: a lot of mad about don't even get her started

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Speaker 1: on Thomas start the clock problem. Thomas Freemans he uses

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Speaker 1: mixed metaphors anyways. Yeah, yeah, he's a writer for The

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Speaker 1: New York Times. Oh, I know, he uses a mixed

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Speaker 1: metaphors a lot. He like called. He's like saying he

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Speaker 1: was talking about something where you got on an airplane

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Speaker 1: is like a you know, we were like a herd

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Speaker 1: of carnivores hunting for a seasons, Like, carnivores don't form heard.

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Speaker 1: You think mix your metaphors like that. Yeah, I would

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Speaker 1: have caught that too. Yeah wait no they never Oh yeah,

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Speaker 1: I guess they don't know, because that's predators aren't heard.

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Speaker 1: If you want, if you could say a pride of lions,

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Speaker 1: but I wouldn't say, yeah, okay, pack a pack pack

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Speaker 1: is a good term. But no. Thomas Freedman. I one

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Speaker 1: of the first books I ever list in two on

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Speaker 1: tape was The World is Flat. It is. He says

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Speaker 1: the world is flat like every sentence of that book.

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Speaker 1: He's like, the reason the world is flat is it's

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Speaker 1: one of the most poorly written books I've ever I hated.

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Speaker 1: I hate to put all Freeman on blast here, but

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Speaker 1: like he is able to write the most words without

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Speaker 1: actually saying anything of anyone I've ever seen. What are

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Speaker 1: his qualifications? I don't know. I don't know, I don't know.

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Speaker 1: I mean, I think he must have a thing. Is

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Speaker 1: It must be that he had some interesting articles, some

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Speaker 1: interesting things to say early in his career, and then

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Speaker 1: they just kept one of them to keep going. But

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Speaker 1: he ran out of material. But they're like, we need

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Speaker 1: a new article. And he strikes me as like the

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Speaker 1: equivalent of like a tenured professor who just doesn't need

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Speaker 1: to do ship. He's he's the guy who wrote the

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Speaker 1: opinion piece about MBS being like a cool dude who

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Speaker 1: fresh ideas. And he's like, hey, don't take it from me,

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Speaker 1: but this guy is cool kids. He loves he loves

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Speaker 1: talking about like he just has a constant boner for

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Speaker 1: a technological advancement where he's like, the world is now

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Speaker 1: flat because if iPods and Twitter is going to solve

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Speaker 1: the Middle East, right, And he was talking about like

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Speaker 1: the zoom ees over in India, this new generation of

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Speaker 1: kids zoom around and or zippies. I forget to be

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Speaker 1: talking about He's like, guys, trust me, five years from now,

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Speaker 1: you will be laughing that you didn't know what I

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Speaker 1: was talking about when I said the Zippies from India. Okay,

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Speaker 1: And it's like this book came out in two thousand

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Speaker 1: and four. Its like none of this ship caught on. Man,

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Speaker 1: he's the worst. He's one of the only Like normally

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Speaker 1: I would stop reading immediately, but this was like a

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Speaker 1: cross country trip my wife and I were on, and

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Speaker 1: this was like back when you actually like had books

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Speaker 1: on tape and so like we had like I forget,

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Speaker 1: but it was like eight CDs and so we just

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Speaker 1: had to grind through this terrible book the whole way. Uh.

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Speaker 1: And that was my ex wife. We're not together anymore

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Speaker 1: because of that experience. What is a myth? What's something

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Speaker 1: people think is true you know to be false. Well,

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Speaker 1: I actually just did this because I was researching an article. Um,

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Speaker 1: but there's not really such a thing as hypoallergenic dogs. Um.

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Speaker 1: There's low shedding dogs. Um. And this is actually kind

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Speaker 1: of news to me. I thought that hypoo hypoallergenic dogs

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Speaker 1: actually would produce less vander but I don't think that's

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Speaker 1: actually the case. So dogs who are considered hypoallergenic just

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Speaker 1: either don't shed or shed less. I mean all dogs

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Speaker 1: shed to some extent, but like they shed less. And

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Speaker 1: how that's supposed to help with allergies is that dander

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Speaker 1: which contains a protein which is what people are actually

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Speaker 1: allergic to it. So this protein produced in dogs skin,

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Speaker 1: it's in their saliva that will stick to the hair

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Speaker 1: and then get around. Um, and that could potentially trigger allergies.

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Speaker 1: But I read a study and they found that homes

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Speaker 1: in which they had hypoallergenic dogs actually had the same

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Speaker 1: amount of detectible allergens like when they studied it. But

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Speaker 1: they didn't say, like, oh, that means that hypoallergenic dogs

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Speaker 1: don't help. It just means that there's still the allergy around.

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Speaker 1: But it's possible that the fur getting everywhere, like getting

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Speaker 1: stuck to you could trigger your allergies, right, So that

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Speaker 1: that maybe why? Um, so I don't actually know. Um,

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Speaker 1: Like I mean, I feel I feel like maybe it's

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Speaker 1: like if you have mild allergies, it's probably helpful. Right

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Speaker 1: now you came in today, you're caked in dog first. Yeah,

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Speaker 1: and now I'm just but the yeah, I mean that.

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Speaker 1: That totally makes sense to me. And I've only ever

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Speaker 1: heard people talk about other dogs like theoretically, like, oh

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Speaker 1: that dog hypoallergenic, like I'm allergic to dogs. Um. I

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Speaker 1: I never believe people when they say they're allergic to stuff.

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Speaker 1: I've just always call their bluff. Something's got like a

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Speaker 1: nut allergy in their faces. Purple h walk it off,

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Speaker 1: walk it off. Indeed, let's talk about Kim Kardashian. You guys,

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Speaker 1: she trademarked a few weeks ago the word kimono. Uh,

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Speaker 1: and she just revealed why it's her new line of shapewear.

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Speaker 1: She should have trademarked the word shapewear. Yeah. Uh, Nikes

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Speaker 1: five steps ahead of her on that one. But uh,

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Speaker 1: first time hearing of it. Really. Yeah, I've never heard

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Speaker 1: the words shapewear. Before you wear your clothes to make

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Speaker 1: your figure look that good? Spanks okay, yeahs spanks to shapewear.

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Speaker 1: But yeah, where you. I think the problem most people

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Speaker 1: are having with this is that she is spelling it

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Speaker 1: exactly the same way that in English people that the

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Speaker 1: word kimono is spelled in English. It's like a traditional,

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Speaker 1: you know, Japanese form of clothing. We'll get Miles his

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Speaker 1: thoughts on this when he gets back, but for now,

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Speaker 1: it's still fucked up, so we wanted to call it out.

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Speaker 1: But yeah, so, I mean it's you know, cultural appropriation

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Speaker 1: in a really poorly thought thru way, well in the

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Speaker 1: worst way, right, because you're literally it's like one other,

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Speaker 1: like say, you know it's I I certainly can't necessarily

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Speaker 1: make a determination on this because I am full disclosure,

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Speaker 1: I'm white, but I feel like, uh, you know, if

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Speaker 1: you're if you're going to culturally appropriate something, don't literally

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Speaker 1: steal it. So everybody else can't use that word, right, Yeah,

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Speaker 1: Like most people under the age of eighteen now are

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Speaker 1: confused when they hear the word kimono because Kim Kardashian

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Speaker 1: is a big deal to people under eighteen. I'm hip,

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Speaker 1: I'm up on the kids, but yeah, I mean it's

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Speaker 1: generally she created a homophone overnight that is going to

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Speaker 1: confuse people when it comes to that term. Now because

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Speaker 1: she's like trademark. Does that mean like other people can't

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Speaker 1: sell stuff called kimonos? Yeah? Now I would if I

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Speaker 1: were her, pr uh, I would advise her not to

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Speaker 1: start suing every Japanese person who uses the word kimono.

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Speaker 1: That would probably not be a good idea, but yeah,

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Speaker 1: I mean people are just I don't I don't think

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Speaker 1: that's the concern that people won't be able to do it.

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Speaker 1: I think the best description I've read of it was, uh,

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Speaker 1: somebody just saying it dilutes the culture a little bit,

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Speaker 1: Like it's not like outright attack that is making people

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Speaker 1: feel like active pain in the moment, but it just

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Speaker 1: kind of cheapens the culture and dilutes a word that

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Speaker 1: is important to the culture, and it's just a a

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Speaker 1: kind of thoughtless, shitty thing to do, right. I mean

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Speaker 1: think that there can be things like cultural appropriation and

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Speaker 1: you know, racism where it's not like it's it doesn't

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Speaker 1: have to be an earth shattering thing, but to still

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Speaker 1: just feel crappy and to be bad, you know, people complain.

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Speaker 1: They're not saying that that she's literally committing a war crime.

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Speaker 1: They're saying that she's doing something that's kind of shitty

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Speaker 1: and not very respectful. But what else are you gonna

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Speaker 1: call it? What could you call it? M what else

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Speaker 1: could you possibly call it? On her name? I just

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Speaker 1: got that. Yeah, yeah, you're like, never mind, what a good.

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Speaker 1: What a great joke. But it's a definitely noticed at

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Speaker 1: a young Oh and then the trending hashtag on Twitter

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Speaker 1: was kim oh no oh god, that's good though. I mean, okay,

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Speaker 1: I understand years and years of you know, like cultural

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Speaker 1: sort of bias and the exotification of other cultures and

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Speaker 1: that's all bad. But think of the buns, you guys. Wow,

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Speaker 1: so good picture of I just found she's got her

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Speaker 1: cameros into her kimeras. What are those cos? Okay? Does what? Um? Yeah?

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Speaker 1: I saw some people suggesting other ideas for what she

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Speaker 1: should have called it, and they all made sense, but

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Speaker 1: they weren't as good as kimono. But there's not a

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Speaker 1: rule that says you have to put your name in

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Speaker 1: the product or the brand you're creating. That's where you're wrong. Yeah. Also,

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Speaker 1: but so it's shapewear, right, yes, I don't think so

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Speaker 1: kimonos do have that sash, which is I'm sort of

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Speaker 1: assuming that's kind of what she's hinting at. You know,

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Speaker 1: there's that sash that goes around and kind of she

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Speaker 1: is in the waist. But that's not called a kimono,

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Speaker 1: right that? Oh it's not I mean, yeah, I just well, no, no,

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Speaker 1: the whole thing is called but no, I'm pretty sure

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Speaker 1: this is just her knowing that Japan is cool, Japanese

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Speaker 1: culture is cool, very marketable, Yeah, very marketable right now,

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Speaker 1: So that was a joke. And uh, and that her

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Speaker 1: name is Kim and the word kimono has her name

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Speaker 1: in it, like that's a kimono equals clothes. And also

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Speaker 1: maybe she knew that this was going to happen and

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Speaker 1: she's you know, yeah, I mean ship probably. I haven't

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Speaker 1: there been accusations of that in the past with us,

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Speaker 1: Like you know, when people do those ridiculous things you

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Speaker 1: can't believe they're doing it, you know, like some incredibly

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Speaker 1: racist T shirt and like a target ad or something,

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Speaker 1: and somebody must have just this is like a super

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Speaker 1: cynical play for just clicks people to talk about. Yes,

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Speaker 1: here we are talking about and I mean, you know

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Speaker 1: who would know that better than somebody whose career started

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Speaker 1: with a sex tape. Yeah, I mean it's like, oh no,

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Speaker 1: my sex tape is out. Ye did I drop this

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Speaker 1: sex tape right directly into the inbox of of Uh yeah,

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Speaker 1: that's how the internet works, right. Um. Yeah, I'm trying

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Speaker 1: to think of better names. One of them would be

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Speaker 1: Kim Squeeze, like like like Kim che but Kim that's

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Speaker 1: a good one, right, Yeah, no, it's great. It's a

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Speaker 1: I bet. I feel like the only like the way

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Speaker 1: for her to dispel the notion that this was just

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Speaker 1: a cynical way to get clicks would be for her

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Speaker 1: to change it to Kim squeeze or change it, to

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Speaker 1: change it to something it needs to be changed. Um. Also,

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Speaker 1: kimono is I recently heard a business person be like, yeah,

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Speaker 1: we had a real open your kimono's moment? Are we

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Speaker 1: just open the kimonos? And like it's like, all right,

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Speaker 1: let's just let's just all open our kimonos and show

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Speaker 1: the table. Yeah yeah, it's like, what the hell does

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Speaker 1: that mean? It means like I'm not hiding anything open, Yeah,

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Speaker 1: like not hiding anything. But you know, I wish that

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Speaker 1: they wouldn't have like that sort of That's how else

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Speaker 1: are you going to describe? I don't know. What I

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Speaker 1: would do is like, let's have a real like sort

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Speaker 1: of just open up the butt cheeks, you know, spreads

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Speaker 1: basically spread the cheeks moment each other our in the

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Speaker 1: pinch that I like that way better spread the cheese.

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Speaker 1: But so kimono for me is already already has a

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Speaker 1: douchey business kind of connotation to it. Commotation to it, kimmotation,

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Speaker 1: kimmon notation. Right, we're gonna take a quick break so

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Speaker 1: Katie can stop rolling on the ground laughing from my

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Speaker 1: kimono notation. We'll be right back, and we're back. And yeah,

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Speaker 1: I did, I did. Probably the listeners were wondering that

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Speaker 1: very same thing. Why, like where was the bomb drop

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Speaker 1: after a common notation, and yeah, it's probably the buttons

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Speaker 1: probably stuck. Dan wouldn't confirm it, but we can all agree. Uh.

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Speaker 1: Let's talk about the fact that Donald Trump yesterday we

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Speaker 1: talked on yesterday's show about how cultural executives of media

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Speaker 1: executives are worried that we're going through a Trump slump,

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Speaker 1: and maybe Donald Trump is too, because he's uh saying

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Speaker 1: some wild ship and he might have pulled us Samuel L.

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Speaker 1: Jackson a time to kill in saying I'm glad John

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Speaker 1: McCain is dead and I hope he rots in hell.

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Speaker 1: Because so he was speaking about why he didn't kill Obamacare,

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Speaker 1: uh and pass like his much totally better version. Uh,

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Speaker 1: and he he said quote we needed sixty votes and

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Speaker 1: we had fifty one, and sometimes we had a hard

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Speaker 1: time with a couple people. Fortunately they're gone now, they've

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Speaker 1: gone on to greener pastures or perhaps far less green,

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Speaker 1: but they're gone. Very happy they're gone, which would seem

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Speaker 1: to be him saying that he is glad John McCain

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Speaker 1: is dead, and greener pastures evoking like the afterlife, and

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Speaker 1: then far less green evoking hell, and him being happy

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Speaker 1: that he's in hell. I mean, maybe it's like he's saying,

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Speaker 1: though the pastures are, uh, they're not green, but like

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Speaker 1: they're eco conscious because you can't waste water. So now

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Speaker 1: they're sort of like desert escaped pastures, so they're more

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Speaker 1: of a kind of taup and other like yeah, yeah, yeah,

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Speaker 1: resistant past Yeah, yeah, that's probably what I meant. Yeah, definitely,

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Speaker 1: But this is what he's he's very entertaining when he

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Speaker 1: wants to be, and just such a bad person and

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Speaker 1: totally oblivious to what a bad person he is and

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Speaker 1: unwilling to admit it. And well, you can see this tone.

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Speaker 1: I always think when you read quotes like this, you

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Speaker 1: can picture him doing this exact tone with like a

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Speaker 1: like at a cocktail party where he's wearing tuxedos and

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Speaker 1: be like, let's yeah, I talked to Donald Trump, like,

418
00:26:30,119 --> 00:26:32,080
Speaker 1: but it was pretty funny, Like we had this five

419
00:26:32,119 --> 00:26:35,280
Speaker 1: minute conversation and he's like a playground jerk off. That's

420
00:26:35,320 --> 00:26:37,320
Speaker 1: kind of funny to hang like see at a party. Yeah,

421
00:26:37,600 --> 00:26:39,840
Speaker 1: and that's the tone of all this kind of stuff.

422
00:26:39,840 --> 00:26:41,439
Speaker 1: And he's been doing it for fifty years and he's like, well,

423
00:26:41,440 --> 00:26:43,440
Speaker 1: I would have stopped now it's been going great. It's

424
00:26:43,480 --> 00:26:47,320
Speaker 1: like the Golden Parachute Monster Towne where it's like my

425
00:26:47,560 --> 00:26:51,280
Speaker 1: daddy was a criminal kind of ton of forests, Like, oh,

426
00:26:51,400 --> 00:26:54,679
Speaker 1: maybe maybe he should He's like in greener pastors now,

427
00:26:54,800 --> 00:26:59,080
Speaker 1: or or should I say hotter pastors? Right? Nobody laughs

428
00:26:59,080 --> 00:27:02,000
Speaker 1: because you're a billionaire in right exactly. Yeah, Like you're

429
00:27:02,040 --> 00:27:04,800
Speaker 1: so funny, please don't ruin my life. Yeah. It was

430
00:27:04,840 --> 00:27:09,159
Speaker 1: announced yesterday or two days ago that Robert Mueller is

431
00:27:09,280 --> 00:27:13,280
Speaker 1: going to testify publicly after there was a question whether

432
00:27:13,359 --> 00:27:17,920
Speaker 1: he would testify even privately for in front of Congress.

433
00:27:18,000 --> 00:27:21,200
Speaker 1: Now it seems like he's going to testify in a

434
00:27:21,280 --> 00:27:26,040
Speaker 1: public session in front of Congress, and yeah, I don't know.

435
00:27:26,720 --> 00:27:29,760
Speaker 1: During his press conference, he said he didn't want to testify,

436
00:27:30,400 --> 00:27:34,080
Speaker 1: and that his report is his testimony. And I think

437
00:27:34,119 --> 00:27:36,840
Speaker 1: people are under playing how important this could be to

438
00:27:37,000 --> 00:27:39,520
Speaker 1: have him say what's in the report in front of

439
00:27:39,560 --> 00:27:42,879
Speaker 1: a huge TV audience, because he was like, my report

440
00:27:42,960 --> 00:27:45,640
Speaker 1: is my testimony, so right, but nobody reads. I think

441
00:27:45,680 --> 00:27:47,640
Speaker 1: that's like the thing that seems to have been lost

442
00:27:47,680 --> 00:27:50,680
Speaker 1: on him is that a nobody reads and they're not

443
00:27:50,720 --> 00:27:54,680
Speaker 1: going to read your report and be that there. He

444
00:27:54,960 --> 00:27:56,399
Speaker 1: seemed to have assumed that there was going to be

445
00:27:56,800 --> 00:28:00,680
Speaker 1: similarly honorable people after him in the chain, Like he's like,

446
00:28:00,720 --> 00:28:01,920
Speaker 1: all I have to do is set this up in

447
00:28:01,960 --> 00:28:05,159
Speaker 1: the way that I know how, and the people similarly

448
00:28:05,600 --> 00:28:08,280
Speaker 1: capable people will see it and be like, Okay, this

449
00:28:08,359 --> 00:28:09,959
Speaker 1: is obviously what you meant. This is obviously the road

450
00:28:10,040 --> 00:28:13,280
Speaker 1: map to Congress. This is obviously what the intention of

451
00:28:13,320 --> 00:28:16,520
Speaker 1: this is. This man is guilty of all sorts of things. Here,

452
00:28:16,760 --> 00:28:19,240
Speaker 1: here's the evidence, you guys, take care of it. But

453
00:28:19,400 --> 00:28:21,359
Speaker 1: neither of those things are true. So now and you

454
00:28:21,440 --> 00:28:23,159
Speaker 1: know where we're at now, you just he needs to

455
00:28:23,200 --> 00:28:26,600
Speaker 1: be on TV on camera saying yes, if he was

456
00:28:26,720 --> 00:28:30,359
Speaker 1: not president, I would have prosecuted him. Yes, you know,

457
00:28:30,720 --> 00:28:32,399
Speaker 1: if we have a video of him saying that. Then

458
00:28:32,480 --> 00:28:36,120
Speaker 1: suddenly it's a different kind of thing. Potentially, maybe I'm

459
00:28:36,200 --> 00:28:38,680
Speaker 1: a little more cynicol I think that there's just not

460
00:28:38,800 --> 00:28:41,760
Speaker 1: going to be really a pants down moment. It's spread

461
00:28:41,800 --> 00:28:48,760
Speaker 1: your cheeks moment. We're not gonna have a right, I

462
00:28:48,960 --> 00:28:59,800
Speaker 1: think that. I just I don't. I think it's kind

463
00:28:59,840 --> 00:29:02,000
Speaker 1: of gonna be one of these things where it's like

464
00:29:02,360 --> 00:29:05,720
Speaker 1: it's like a bunch of little papercut kind of things

465
00:29:05,760 --> 00:29:07,640
Speaker 1: where it's like, yeah, he did this thing that's like

466
00:29:07,800 --> 00:29:12,120
Speaker 1: kind of you know, not explosively legal or like, you know,

467
00:29:12,280 --> 00:29:16,560
Speaker 1: just but I don't think there's gonna be a big reveal.

468
00:29:17,200 --> 00:29:19,320
Speaker 1: I mean, obviously there's not, because we do have access

469
00:29:19,360 --> 00:29:21,440
Speaker 1: to the report, but there's not. I don't know if

470
00:29:21,480 --> 00:29:24,960
Speaker 1: there's going to be something that really sort of shakes

471
00:29:25,040 --> 00:29:28,640
Speaker 1: people to their courts, like they it reveals anything about Trump.

472
00:29:28,720 --> 00:29:31,960
Speaker 1: We don't already know that he's a you know, he's

473
00:29:32,040 --> 00:29:36,840
Speaker 1: a corrupt person. And I'm sort of I'm always frustrated

474
00:29:36,920 --> 00:29:40,840
Speaker 1: with the whole, uh, the whole Molder report thing, because

475
00:29:40,840 --> 00:29:44,200
Speaker 1: I feel like if we had gone after him on

476
00:29:44,400 --> 00:29:48,200
Speaker 1: like the emoluments violations, that is so much more. I

477
00:29:48,280 --> 00:29:51,840
Speaker 1: guess specific to his administration that are so much more

478
00:29:51,960 --> 00:29:55,440
Speaker 1: flagrant and ridiculous than they have been. There would have

479
00:29:55,560 --> 00:29:58,640
Speaker 1: been potentially more of a pants down, balls out, but

480
00:29:58,840 --> 00:30:02,360
Speaker 1: she spread moment. Yeah, but they're still going after the

481
00:30:02,480 --> 00:30:05,880
Speaker 1: moment stuff though in different it's like working its way

482
00:30:05,960 --> 00:30:09,200
Speaker 1: through some court. But the I think that with the

483
00:30:09,680 --> 00:30:12,440
Speaker 1: a lot of the focus being on the Russia stuff,

484
00:30:12,480 --> 00:30:15,240
Speaker 1: which it doesn't seem like there's is, there's not as

485
00:30:15,320 --> 00:30:18,080
Speaker 1: strong as a case. Well yeah, but that's I think

486
00:30:18,080 --> 00:30:20,000
Speaker 1: that's what Nancy Blosi's whole point is, like, we have

487
00:30:20,120 --> 00:30:22,720
Speaker 1: much stronger cases in all these other lanes. So let's

488
00:30:22,760 --> 00:30:24,800
Speaker 1: not hang our hat on this mull Earth stuff because

489
00:30:24,960 --> 00:30:27,800
Speaker 1: we're going to get brick Wald in the Senate anyway. Yeah,

490
00:30:27,840 --> 00:30:29,880
Speaker 1: I mean, I mean, I think it's I mean, I

491
00:30:30,000 --> 00:30:33,120
Speaker 1: think it should just be common practice that for any

492
00:30:33,240 --> 00:30:36,800
Speaker 1: president they get investigated on everything they do and that

493
00:30:36,960 --> 00:30:38,840
Speaker 1: we hold them to a very high standard and that

494
00:30:38,960 --> 00:30:42,520
Speaker 1: we should be looking into um. So I'm not I'm

495
00:30:42,560 --> 00:30:45,360
Speaker 1: not I think that it's good to investigate, but I

496
00:30:45,520 --> 00:30:49,120
Speaker 1: do think it's I think there's just like desire I

497
00:30:49,240 --> 00:30:51,440
Speaker 1: think for there to be a moment where Muller gets

498
00:30:51,560 --> 00:30:54,920
Speaker 1: up there and says like, yeah, he sucked putting off

499
00:30:55,280 --> 00:30:57,320
Speaker 1: and when he got the video of it. Well, but

500
00:30:57,600 --> 00:31:00,880
Speaker 1: there's like things about it though that they're it's gonna happen. Sorry,

501
00:31:00,920 --> 00:31:02,640
Speaker 1: just real quick. I just want to make sure you're

502
00:31:02,680 --> 00:31:04,680
Speaker 1: going on the record saying you think that is what's

503
00:31:04,720 --> 00:31:07,440
Speaker 1: going to happen and that it's not going to be

504
00:31:07,520 --> 00:31:15,360
Speaker 1: a big deal. That's almost okay, Uh, Nick, where you saying, oh,

505
00:31:15,480 --> 00:31:17,800
Speaker 1: just that, I think in the problem with the Muller

506
00:31:17,880 --> 00:31:19,640
Speaker 1: report was just that it left certain things up to

507
00:31:19,680 --> 00:31:22,320
Speaker 1: interpretation and spin. From the both point the way he

508
00:31:22,400 --> 00:31:24,680
Speaker 1: put it, which is legally speaking, exactly how he had

509
00:31:24,720 --> 00:31:27,120
Speaker 1: to put it because he's hamstrung every which way by

510
00:31:27,160 --> 00:31:30,080
Speaker 1: the regulations of the Dress Department, but the fact that

511
00:31:30,160 --> 00:31:33,440
Speaker 1: he couldn't just say like things like yes if he

512
00:31:33,520 --> 00:31:36,120
Speaker 1: so explicitly if he was not a sitting president, any

513
00:31:36,160 --> 00:31:38,959
Speaker 1: other person, same charges this is, this is a list

514
00:31:39,040 --> 00:31:41,960
Speaker 1: of crimes, like to come out and just bark that out.

515
00:31:42,960 --> 00:31:44,719
Speaker 1: That's what that's the reason for the t And then

516
00:31:44,760 --> 00:31:47,320
Speaker 1: it's then allows Trump and people with less imagination to

517
00:31:47,360 --> 00:31:50,000
Speaker 1: be like, see, I'm not guilty, whereas you have him

518
00:31:50,080 --> 00:31:54,520
Speaker 1: on camera saying yes, if he's not president, he committed crimes.

519
00:31:54,600 --> 00:31:57,160
Speaker 1: The only reason I did not do this is because

520
00:31:57,240 --> 00:31:59,840
Speaker 1: I'm not allowed to by the rules of my personal job.

521
00:32:00,120 --> 00:32:03,920
Speaker 1: I mean maybe that I would certainly hope that people

522
00:32:03,960 --> 00:32:07,600
Speaker 1: would find that alarming. Um. I think that one of

523
00:32:07,640 --> 00:32:09,920
Speaker 1: the frustrating things with this report is there's this sort

524
00:32:09,920 --> 00:32:13,600
Speaker 1: of like trickle truth. I think people were expecting a

525
00:32:13,760 --> 00:32:18,400
Speaker 1: smoking gun of you know, Trump met with Russians to

526
00:32:18,640 --> 00:32:22,000
Speaker 1: plot the overthrow of the US, which you know, I

527
00:32:22,080 --> 00:32:26,560
Speaker 1: mean the practice of like contacting foreign countries to dig

528
00:32:26,640 --> 00:32:29,680
Speaker 1: up dirt. I think, I mean, like, that's not it's

529
00:32:29,680 --> 00:32:33,680
Speaker 1: not that unheard of, So it's like that's sort of

530
00:32:33,800 --> 00:32:37,240
Speaker 1: a it's And then so we get these kind of

531
00:32:37,320 --> 00:32:41,000
Speaker 1: little this trickle of information about like, oh, you know,

532
00:32:41,320 --> 00:32:44,400
Speaker 1: the cover up was probably worse than anything that we did,

533
00:32:44,480 --> 00:32:47,680
Speaker 1: and that's very alarming. But we get just slowly felt

534
00:32:47,760 --> 00:32:50,400
Speaker 1: little bits of information about it, and I don't think

535
00:32:50,520 --> 00:32:55,280
Speaker 1: that's really you know, it's not enough, and and you

536
00:32:55,360 --> 00:32:58,800
Speaker 1: know it's not I'm I think that I feel I mean,

537
00:32:58,880 --> 00:33:01,440
Speaker 1: I feel less conser earned about that whole, the whole,

538
00:33:02,360 --> 00:33:05,800
Speaker 1: that aspect of the investigation than I do about I mean,

539
00:33:05,800 --> 00:33:10,600
Speaker 1: the emoluments violations are so much more flagrant and unique

540
00:33:10,680 --> 00:33:13,400
Speaker 1: to as far as I know, to this president that

541
00:33:13,560 --> 00:33:16,560
Speaker 1: it's like I wish that because that, to me, would

542
00:33:16,600 --> 00:33:18,800
Speaker 1: have been more of a if we had, like from

543
00:33:18,880 --> 00:33:22,080
Speaker 1: the beginning gone like this is very bad, that would

544
00:33:22,120 --> 00:33:24,000
Speaker 1: have been more of a smoking gun, more of a

545
00:33:24,120 --> 00:33:30,160
Speaker 1: kind of on your dick moment, the old Yeah. I

546
00:33:30,240 --> 00:33:33,520
Speaker 1: wonder how much of the I I don't know, Like

547
00:33:33,720 --> 00:33:36,000
Speaker 1: I honestly don't know the answer to this, but the

548
00:33:36,120 --> 00:33:41,240
Speaker 1: fact that it was Russia being the focus so much

549
00:33:41,320 --> 00:33:43,240
Speaker 1: more than the moluments, I wonder how much of that

550
00:33:43,520 --> 00:33:47,520
Speaker 1: is just procedural things like well, this court takes longer

551
00:33:47,640 --> 00:33:51,200
Speaker 1: for cases to get prosecuted, and how much of it

552
00:33:51,480 --> 00:33:56,360
Speaker 1: was you had the entire uh you know, liberal media

553
00:33:58,440 --> 00:34:01,680
Speaker 1: establishment trying to exp lane how they got the election

554
00:34:01,840 --> 00:34:05,720
Speaker 1: so wrong, and so there was this kind of hope

555
00:34:06,000 --> 00:34:08,719
Speaker 1: that there was like some sort of conspiracy. I think

556
00:34:08,760 --> 00:34:10,800
Speaker 1: it's yeah, I think it's the latter mixed with a

557
00:34:10,880 --> 00:34:15,279
Speaker 1: little bit of red scare stuff, because I mean, you know,

558
00:34:15,520 --> 00:34:20,440
Speaker 1: obviously Russia's government is corrupt, as our many many governments.

559
00:34:20,520 --> 00:34:24,520
Speaker 1: But I think that the enticement of you know, it's

560
00:34:25,000 --> 00:34:28,000
Speaker 1: what was that movie read Dawn, Like it's we get

561
00:34:28,080 --> 00:34:31,320
Speaker 1: to live and read Dawn and there's something so sexy

562
00:34:31,400 --> 00:34:34,000
Speaker 1: about that for the media to go like like hey,

563
00:34:34,200 --> 00:34:37,719
Speaker 1: you know, remember like how like there was hours and

564
00:34:37,800 --> 00:34:40,120
Speaker 1: hours of news with coverage on what's her what's her name?

565
00:34:40,160 --> 00:34:44,000
Speaker 1: The redheaded woman? Who? Yeah, yeah, where It's just like

566
00:34:44,400 --> 00:34:47,279
Speaker 1: that's so it's a very alluring topic. I mean I

567
00:34:47,440 --> 00:34:50,120
Speaker 1: find it. I find it also very like enticing, like oh,

568
00:34:50,320 --> 00:34:53,480
Speaker 1: you know, sexy Russian spy, um, you know, and and

569
00:34:53,640 --> 00:34:57,680
Speaker 1: like sort of the um. Just it's such a strong

570
00:34:58,280 --> 00:35:01,239
Speaker 1: meme or trope in our culture of this idea of

571
00:35:01,400 --> 00:35:04,360
Speaker 1: like Russia getting in and screwing with the US. I

572
00:35:04,440 --> 00:35:07,640
Speaker 1: think that coupled with the fact that it made it

573
00:35:07,760 --> 00:35:13,520
Speaker 1: such that Democrats didn't have to take any responsibility for um,

574
00:35:14,000 --> 00:35:18,040
Speaker 1: you know, boning up the election potentially, I mean even

575
00:35:18,239 --> 00:35:21,120
Speaker 1: say you assume they didn't, and it's just like that

576
00:35:21,360 --> 00:35:25,040
Speaker 1: their platform was not popular or not left wing or

577
00:35:25,120 --> 00:35:29,560
Speaker 1: populist enough. That's also a scary kind of realization. So

578
00:35:29,920 --> 00:35:32,880
Speaker 1: just to be clear, you're saying that you think Trump

579
00:35:33,239 --> 00:35:36,080
Speaker 1: sucked off Putin, and that is going to say that

580
00:35:36,120 --> 00:35:39,239
Speaker 1: in the first sense. That's the point that you're not. Yeah,

581
00:35:39,280 --> 00:35:42,520
Speaker 1: And I mean, look, if they want to if they

582
00:35:42,560 --> 00:35:45,160
Speaker 1: want to suck each other off, it's kind of my business.

583
00:35:45,280 --> 00:35:50,239
Speaker 1: They're going to open and it's a real open meal.

584
00:35:50,320 --> 00:35:53,279
Speaker 1: I don't know. I'm I have Russian ancestry and I

585
00:35:53,320 --> 00:36:04,160
Speaker 1: don't even know what the stereo wing do. Not to

586
00:36:04,200 --> 00:36:08,000
Speaker 1: pay close attentions to Laurussia's fine, It's fine. I mean,

587
00:36:08,120 --> 00:36:11,239
Speaker 1: I am very much looking forward to his testimony. Uh,

588
00:36:11,640 --> 00:36:13,800
Speaker 1: not just because you think he's gonna say that and

589
00:36:14,239 --> 00:36:18,719
Speaker 1: I'm interested now, but because I just want to hear

590
00:36:18,840 --> 00:36:22,440
Speaker 1: in planning, Like everything with Mueller has been well because

591
00:36:22,440 --> 00:36:24,960
Speaker 1: of my duty and because of this position, I cannot

592
00:36:25,040 --> 00:36:29,440
Speaker 1: say this nice we just high fived. But you know,

593
00:36:29,560 --> 00:36:32,880
Speaker 1: I'm just looking forward to him saying and playing English,

594
00:36:33,200 --> 00:36:36,800
Speaker 1: like what was there? You know what, like if there's anything,

595
00:36:36,880 --> 00:36:40,360
Speaker 1: because it does seem like there are some pretty damning

596
00:36:40,520 --> 00:36:44,040
Speaker 1: things in the Mueller report, like when when you like

597
00:36:44,239 --> 00:36:47,879
Speaker 1: look at the obstruction stuff, the obstruction stuff, and also

598
00:36:48,000 --> 00:36:51,080
Speaker 1: it's just like there's a lot of weird ship. When

599
00:36:51,120 --> 00:36:53,600
Speaker 1: you said earlier, by the way, that it's not that

600
00:36:53,680 --> 00:36:58,399
Speaker 1: abnormal for candidates to go to foreign countries to look

601
00:36:58,480 --> 00:37:00,800
Speaker 1: for dirt. Who else has done that? I mean, I

602
00:37:00,880 --> 00:37:05,160
Speaker 1: think the Clinton campaign contacted was it uh, some kind

603
00:37:05,200 --> 00:37:09,640
Speaker 1: of Ukrainian intelligence and not not the government itself. It's

604
00:37:09,680 --> 00:37:13,479
Speaker 1: some kind of like thing. I'm i I'm probably gonna

605
00:37:13,480 --> 00:37:15,440
Speaker 1: get pounced on in d M because I don't actually

606
00:37:15,480 --> 00:37:18,719
Speaker 1: remember the specific thing. But I think there was also

607
00:37:18,760 --> 00:37:24,000
Speaker 1: a recent, um recent thing about how Obama talked to

608
00:37:24,360 --> 00:37:28,719
Speaker 1: Iran before he was elected about policy. So about that

609
00:37:28,760 --> 00:37:30,719
Speaker 1: open like moment where he was like, don't worry after

610
00:37:30,760 --> 00:37:34,480
Speaker 1: the election, will straighten the right, right, um, which you know,

611
00:37:34,880 --> 00:37:38,480
Speaker 1: that's different than taking actual intellient dirt on your opponent.

612
00:37:38,680 --> 00:37:40,759
Speaker 1: It's different, but it's all I mean that is to

613
00:37:40,880 --> 00:37:44,640
Speaker 1: me alarming, uh, you know, to discuss. Although I would

614
00:37:44,680 --> 00:37:46,920
Speaker 1: say that the Iran deal was a good thing, I

615
00:37:47,040 --> 00:37:50,360
Speaker 1: think that cooperation with Iran is that much is you

616
00:37:50,440 --> 00:37:53,480
Speaker 1: know in this in this specific case, it's like not

617
00:37:53,960 --> 00:37:57,880
Speaker 1: it's not something that I dislike. But on principle, I

618
00:37:58,080 --> 00:38:02,000
Speaker 1: don't think you should be discussing foreign policy before you're elected.

619
00:38:02,000 --> 00:38:05,319
Speaker 1: I think that's a very you know, a problematic thing

620
00:38:05,400 --> 00:38:09,680
Speaker 1: to do. So I think that contacting it's like it's

621
00:38:09,680 --> 00:38:12,200
Speaker 1: almost one of one of the forms of corruption that

622
00:38:13,280 --> 00:38:17,520
Speaker 1: I think seems to happen with enough frequency that it's like, well, right,

623
00:38:17,560 --> 00:38:20,040
Speaker 1: it's not that shocking that that somebody might accept a

624
00:38:20,080 --> 00:38:23,279
Speaker 1: little dirt from wherever they could get it. But but

625
00:38:23,440 --> 00:38:26,000
Speaker 1: what is different about this one is that they were

626
00:38:26,800 --> 00:38:30,320
Speaker 1: like at a at the highest state levels, at a

627
00:38:30,640 --> 00:38:33,880
Speaker 1: multifaceted campaign to mess with the election. It wasn't like,

628
00:38:34,880 --> 00:38:39,080
Speaker 1: you know, and in trying to get a specific candidate elected,

629
00:38:39,200 --> 00:38:42,160
Speaker 1: although I think that that's pretty common too. It would

630
00:38:42,200 --> 00:38:44,920
Speaker 1: be what would be uncommon, and I haven't seen the

631
00:38:44,960 --> 00:38:47,960
Speaker 1: smoking gun for this, would be if the Trump campaign

632
00:38:48,640 --> 00:38:51,399
Speaker 1: worked with the Russian government in a sort of quid

633
00:38:51,440 --> 00:38:55,080
Speaker 1: pro quote thing of like if you influence the election

634
00:38:55,239 --> 00:38:59,759
Speaker 1: in my favor, um, like explicitly made this agreement, like

635
00:38:59,840 --> 00:39:02,520
Speaker 1: you influence the election by going on Facebook and doing

636
00:39:02,600 --> 00:39:06,400
Speaker 1: your dumb memes like and in return, I'll do a

637
00:39:06,520 --> 00:39:09,160
Speaker 1: good thing for you. That would be extremely bad and

638
00:39:09,360 --> 00:39:12,279
Speaker 1: unusual that your amaliment's point, you don't know what his

639
00:39:12,320 --> 00:39:15,239
Speaker 1: business interests are. You know the Trump Tower Moscow and

640
00:39:15,239 --> 00:39:17,320
Speaker 1: don't like it, right, But I don't think there is.

641
00:39:17,520 --> 00:39:19,359
Speaker 1: It's been more of a thing of like, yeah, i'll

642
00:39:19,400 --> 00:39:22,399
Speaker 1: take dirt on like you know, we would potentially want

643
00:39:22,440 --> 00:39:24,279
Speaker 1: to take some dirt wherever you can get it, Like

644
00:39:24,400 --> 00:39:26,800
Speaker 1: you said, Um, but I don't think that there was,

645
00:39:26,880 --> 00:39:30,320
Speaker 1: and I don't think they ended up um actually like

646
00:39:30,520 --> 00:39:34,680
Speaker 1: that that meeting didn't really go through. Um. But I

647
00:39:35,080 --> 00:39:37,320
Speaker 1: think that the you know, the Russia kind of like

648
00:39:37,400 --> 00:39:40,279
Speaker 1: trying to influence the elections with propaganda, I mean like

649
00:39:40,400 --> 00:39:43,400
Speaker 1: that that's also a very common thing for well, but

650
00:39:43,440 --> 00:39:44,960
Speaker 1: in this one, they had the emails, the whole like

651
00:39:45,040 --> 00:39:47,880
Speaker 1: coordinated thing with hacking the DNC and releasing the emails

652
00:39:47,920 --> 00:39:51,040
Speaker 1: on in a timed manner and Roger like them teasing

653
00:39:51,120 --> 00:39:52,680
Speaker 1: it and knowing when it was going to happen and

654
00:39:52,840 --> 00:39:54,800
Speaker 1: like all that stuff is pretty like So now that

655
00:39:55,040 --> 00:39:58,520
Speaker 1: was what who were those emails between that was between

656
00:39:59,000 --> 00:40:01,200
Speaker 1: John Podest like all those they hacked the d n C,

657
00:40:01,840 --> 00:40:05,840
Speaker 1: John Podesta with Clinton's campaign manager, that right, and they Okay,

658
00:40:06,120 --> 00:40:10,800
Speaker 1: you're saying who hacked emails and then talked to the

659
00:40:10,840 --> 00:40:14,640
Speaker 1: Trump campaign, right, because it wasn't. It wasn't somebody in

660
00:40:14,760 --> 00:40:18,120
Speaker 1: Trump's inner orbit would be one of the arguments. But

661
00:40:18,760 --> 00:40:20,800
Speaker 1: it was Roger Stone, right, It was Roger Stone and

662
00:40:21,120 --> 00:40:24,520
Speaker 1: Roger Stone and then the who was the who had

663
00:40:24,600 --> 00:40:27,320
Speaker 1: contacted them from Russia? Because I don't think it was

664
00:40:28,560 --> 00:40:30,840
Speaker 1: wiki leaks, right, Yeah, there's a whole weird thing with

665
00:40:30,920 --> 00:40:33,160
Speaker 1: it's a goose afer. Is that, however you pronounced that?

666
00:40:33,360 --> 00:40:38,560
Speaker 1: Is the is the Russian Gucci Gucci for I don't know.

667
00:40:39,440 --> 00:40:42,720
Speaker 1: Then they actually did the hacking and then they released

668
00:40:42,760 --> 00:40:45,759
Speaker 1: it through wiki leaks somehow, and they may have done

669
00:40:45,800 --> 00:40:48,399
Speaker 1: that even to get around some of the legal stuff. Yeah,

670
00:40:48,560 --> 00:40:50,600
Speaker 1: I just don't know. I mean, like I would certainly

671
00:40:50,800 --> 00:40:54,640
Speaker 1: I think that is concerning. I don't know if there

672
00:40:54,760 --> 00:40:58,320
Speaker 1: was like a so it was it was Wiki leaks

673
00:40:58,360 --> 00:41:01,120
Speaker 1: working with Roger Stone, is what your thing? Well, Roger

674
00:41:01,160 --> 00:41:03,480
Speaker 1: Stone seemed to know about all these things before there

675
00:41:03,480 --> 00:41:05,080
Speaker 1: and the whole campaign. You know, there was just these

676
00:41:05,080 --> 00:41:07,560
Speaker 1: little teaser they would do, these teases and speeches. Got

677
00:41:07,600 --> 00:41:11,320
Speaker 1: a feeling on Monday something serious stuff about it. Sounds

678
00:41:11,360 --> 00:41:15,080
Speaker 1: like there's still some questions we have and I think

679
00:41:15,200 --> 00:41:17,920
Speaker 1: I think that there should for sure be investigated. Um,

680
00:41:18,920 --> 00:41:22,160
Speaker 1: open the kimono's moment and a real real thing, you know,

681
00:41:22,280 --> 00:41:24,920
Speaker 1: open your kimonos and show them your the whole moment. Yes,

682
00:41:25,280 --> 00:41:28,799
Speaker 1: spread them, spread them muller by um, we mean your

683
00:41:28,840 --> 00:41:32,080
Speaker 1: butt cheeks. We're going to take a quick break and wait, wait, wait,

684
00:41:32,560 --> 00:41:38,360
Speaker 1: more like fuller butt cheeks instead of Muller get it. Sorry, Okay,

685
00:41:38,480 --> 00:41:45,080
Speaker 1: we're going to take a break. Fuller Robert Fuller butt

686
00:41:45,200 --> 00:42:00,279
Speaker 1: cheeks right, and we're back. And an interesting clip that

687
00:42:00,600 --> 00:42:06,560
Speaker 1: you brought to our attention, Nick of Tucker Carlson, Katie,

688
00:42:06,600 --> 00:42:09,839
Speaker 1: here's Oh yeah, I made a joke out during the break,

689
00:42:09,880 --> 00:42:18,080
Speaker 1: I said, Tucker Carlson, We're like Tugger butt open. So

690
00:42:18,239 --> 00:42:22,320
Speaker 1: Tugger Carlson opened his show. So he occasionally will do

691
00:42:22,400 --> 00:42:26,120
Speaker 1: these monologues where you're like, wait, what show am I watching? Uh?

692
00:42:26,400 --> 00:42:29,040
Speaker 1: Is this the Tucker Carlson program that I tune into

693
00:42:29,160 --> 00:42:32,480
Speaker 1: every night around this time. No, but there are these

694
00:42:32,560 --> 00:42:37,000
Speaker 1: clips out there where he says things like there was

695
00:42:37,120 --> 00:42:40,760
Speaker 1: one monologue where he said America's ruling class are mercenaries.

696
00:42:41,320 --> 00:42:44,360
Speaker 1: He concluded with a demand for America to become a

697
00:42:44,480 --> 00:42:47,480
Speaker 1: fair country, a decent country, a cohesive country, a country

698
00:42:47,520 --> 00:42:51,040
Speaker 1: whose leaders don't accelerate the forces of change purely for

699
00:42:51,160 --> 00:42:55,040
Speaker 1: their own profit and amusement. Uh. And basically it was

700
00:42:55,120 --> 00:42:58,799
Speaker 1: like an anti he said. Republicans have considered it their

701
00:42:58,880 --> 00:43:02,080
Speaker 1: duty to make the world safe for banking while simultaneously

702
00:43:02,200 --> 00:43:07,120
Speaker 1: prosecuting evermore foreign wars, which seems like the sort of

703
00:43:07,280 --> 00:43:11,080
Speaker 1: thing you would hear from h Bernie bro or you

704
00:43:11,160 --> 00:43:14,680
Speaker 1: know somebody who is on the far left, but you know,

705
00:43:14,840 --> 00:43:19,280
Speaker 1: economic populism, like some of Trump's messaging during the sixteen

706
00:43:19,360 --> 00:43:22,960
Speaker 1: campaign was you can be on the right and on

707
00:43:23,040 --> 00:43:26,240
Speaker 1: the left and still be economic populist. It's just Trump

708
00:43:26,280 --> 00:43:30,800
Speaker 1: hasn't really followed through on that stuff in practice. So recently,

709
00:43:31,200 --> 00:43:34,000
Speaker 1: Tucker Carlson gave another one of these monologues that we're

710
00:43:34,040 --> 00:43:37,640
Speaker 1: gonna play a clip from where it's not what you

711
00:43:37,680 --> 00:43:40,279
Speaker 1: would expect from him. What would the world look like

712
00:43:40,400 --> 00:43:43,840
Speaker 1: now two and a half years later. Well, for starters,

713
00:43:43,880 --> 00:43:48,880
Speaker 1: Republicans in Congress would regularly be saying things like this quote.

714
00:43:49,680 --> 00:43:52,800
Speaker 1: I'm deeply grateful for the opportunities America has given me,

715
00:43:53,000 --> 00:43:57,160
Speaker 1: But the giant American corporations who control our economy don't

716
00:43:57,200 --> 00:43:59,560
Speaker 1: seem to feel the same way. They certainly don't act

717
00:43:59,640 --> 00:44:02,440
Speaker 1: like it. We can navigate the changes ahead if we

718
00:44:02,520 --> 00:44:07,280
Speaker 1: embrace economic patriotism and make American workers our highest priority,

719
00:44:07,719 --> 00:44:10,160
Speaker 1: rather than continuing to cater to the interests of companies

720
00:44:10,200 --> 00:44:16,359
Speaker 1: and people with no allegiance to America. End quote. Now,

721
00:44:16,440 --> 00:44:20,960
Speaker 1: let's say you regularly vote Republican, ask yourself. What part

722
00:44:21,080 --> 00:44:23,640
Speaker 1: of the statement you just heard did you disagree with?

723
00:44:24,640 --> 00:44:26,920
Speaker 1: Was there a single word that seemed wrong to you?

724
00:44:27,719 --> 00:44:32,160
Speaker 1: Probably not. Here's the depressing part. Nobody you voted for

725
00:44:32,440 --> 00:44:36,280
Speaker 1: said that or would ever say it. Republicans in Congress

726
00:44:36,400 --> 00:44:40,040
Speaker 1: can't promise to protect American industries. They wouldn't dare to

727
00:44:40,120 --> 00:44:43,879
Speaker 1: do that. It might violate some principle of Austrian economics.

728
00:44:44,280 --> 00:44:47,040
Speaker 1: It might make the Koch brothers mad, It might alienate

729
00:44:47,120 --> 00:44:52,320
Speaker 1: the libertarian ideologues who to this day fund most Republican campaigns.

730
00:44:52,840 --> 00:44:57,680
Speaker 1: So no, a Republican did not say that, sadly, Instead,

731
00:44:58,000 --> 00:45:00,640
Speaker 1: the words you just heard are from embrace yourself here,

732
00:45:01,040 --> 00:45:06,120
Speaker 1: Senator Elizabeth Warren of Massachusetts, it's true bomb drop. Yeah,

733
00:45:06,800 --> 00:45:12,479
Speaker 1: that is from inside the Carlson Trump now that So, yeah,

734
00:45:12,960 --> 00:45:18,640
Speaker 1: that's interesting to hear him kind of complimenting Elizabeth Warren.

735
00:45:18,719 --> 00:45:21,120
Speaker 1: But you know, Nick, you you're pointing out that it's

736
00:45:21,640 --> 00:45:24,560
Speaker 1: not necessarily a credit to him so much as just

737
00:45:24,719 --> 00:45:29,279
Speaker 1: showing there are similarities between economic populism on the left

738
00:45:29,360 --> 00:45:31,640
Speaker 1: and the right. Right. Yeah, for sure. I mean definitely,

739
00:45:31,880 --> 00:45:36,920
Speaker 1: like Bernie Sanders almost got the nomination on that platform

740
00:45:37,000 --> 00:45:39,759
Speaker 1: and that and he I think the enthusiasm that he

741
00:45:39,880 --> 00:45:43,280
Speaker 1: inspired in the crowds that he drew were for similar

742
00:45:43,360 --> 00:45:47,600
Speaker 1: reasons on on this front to the reason that Donald

743
00:45:47,640 --> 00:45:51,080
Speaker 1: Trump drew those crowds. It's like, it's an idea of disenfranchisement.

744
00:45:51,200 --> 00:45:53,439
Speaker 1: Donald Trump played to it in the shittiest possible way,

745
00:45:53,680 --> 00:45:58,120
Speaker 1: in the most racist possible way. But the disenfranchisement is

746
00:45:58,239 --> 00:46:00,800
Speaker 1: the point. It's like every the people are, you know,

747
00:46:01,360 --> 00:46:05,160
Speaker 1: if you play that theme on the left, if you

748
00:46:05,239 --> 00:46:08,719
Speaker 1: play that theme more rest less, but in the racist way,

749
00:46:08,760 --> 00:46:11,440
Speaker 1: but more in the like just economics way, like Bernie Sanders.

750
00:46:12,480 --> 00:46:15,239
Speaker 1: That's right, that we're all being screwed, and we're being

751
00:46:15,280 --> 00:46:18,000
Speaker 1: screwed by specifically the people who have stolen all the

752
00:46:18,040 --> 00:46:21,000
Speaker 1: money and glommed at all, not by migrant children. It

753
00:46:21,160 --> 00:46:23,800
Speaker 1: doesn't turn out to have been by migrant by migrant children.

754
00:46:24,000 --> 00:46:27,040
Speaker 1: That does seem to be the key difference that I was.

755
00:46:27,760 --> 00:46:30,279
Speaker 1: I was like, man, maybe Tucker Carl oh wait no,

756
00:46:30,480 --> 00:46:35,200
Speaker 1: he thinks migrant children should be uh put in cages, right, yeah,

757
00:46:35,320 --> 00:46:37,440
Speaker 1: and then they're still in that weird that like who

758
00:46:37,520 --> 00:46:40,480
Speaker 1: knows what what that's about, but but there is I

759
00:46:40,520 --> 00:46:42,400
Speaker 1: think it's about not being able to view people who

760
00:46:42,440 --> 00:46:45,359
Speaker 1: are different from you and right, Yeah, there's just people

761
00:46:45,400 --> 00:46:48,960
Speaker 1: are just crazy. But there there is this this overlap

762
00:46:49,040 --> 00:46:52,000
Speaker 1: that's potentially encouraging for the left wing of the Democrats.

763
00:46:52,080 --> 00:46:53,359
Speaker 1: Is really at the point it's like if you can

764
00:46:53,520 --> 00:46:55,600
Speaker 1: if you get to that message and you stay on

765
00:46:55,760 --> 00:47:00,520
Speaker 1: that message, you will probably win. Yeah. That was something

766
00:47:00,719 --> 00:47:05,120
Speaker 1: we had an article where UM Republican strategists were talking

767
00:47:05,160 --> 00:47:09,120
Speaker 1: about like what they thought of the Democratic candidates, and

768
00:47:09,440 --> 00:47:11,440
Speaker 1: their take was all, like, it has nothing to do

769
00:47:11,560 --> 00:47:15,760
Speaker 1: with policy. It's all about how authentic the person comes across.

770
00:47:16,520 --> 00:47:19,640
Speaker 1: And I mean, I think that is an important factor.

771
00:47:19,760 --> 00:47:21,520
Speaker 1: But I really do think it does seem to me

772
00:47:21,680 --> 00:47:26,759
Speaker 1: that like there is strength in the message that like

773
00:47:27,200 --> 00:47:31,960
Speaker 1: you're getting screwed economically, Stu. I mean, you have two

774
00:47:32,120 --> 00:47:35,800
Speaker 1: candidates who if you if you make this argument that like,

775
00:47:35,880 --> 00:47:39,360
Speaker 1: oh I identity politics is what's sort of like, So

776
00:47:39,480 --> 00:47:41,440
Speaker 1: you have two candidates. You have Bernie Sanders and you

777
00:47:41,480 --> 00:47:45,399
Speaker 1: have Joe Biden. They're both old white dudes, they're both

778
00:47:45,680 --> 00:47:47,800
Speaker 1: kind of have I don't know if you'd call it

779
00:47:47,920 --> 00:47:52,000
Speaker 1: folksy charm, but some people might. Yeah, I know that's words,

780
00:47:52,120 --> 00:47:55,920
Speaker 1: but I don't I don't necessarily see the folksy charm,

781
00:47:56,000 --> 00:48:03,000
Speaker 1: but you know, Russian Russian folks is more like folksy

782
00:48:03,120 --> 00:48:06,680
Speaker 1: charm in the rush more it is more not dying

783
00:48:06,880 --> 00:48:11,120
Speaker 1: of of vodka. You know, that's dying of vodka. I

784
00:48:11,200 --> 00:48:20,440
Speaker 1: don't know, um perfectly generations removed, but um uh so

785
00:48:20,600 --> 00:48:24,279
Speaker 1: it's it's you know, they're they're similar in terms of

786
00:48:24,800 --> 00:48:28,160
Speaker 1: I guess like they're obviously their personalities are different, but

787
00:48:28,239 --> 00:48:31,400
Speaker 1: they're both like quote unquote down to earth old white

788
00:48:31,480 --> 00:48:36,440
Speaker 1: dudes telling it how it is. But Bernie Sanders platform

789
00:48:36,560 --> 00:48:41,000
Speaker 1: is way different from Joe Biden's, and so Bernie Sanders

790
00:48:41,080 --> 00:48:43,799
Speaker 1: fans aren't NOTSS like I wouldn't. I suppose I haven't

791
00:48:43,800 --> 00:48:46,000
Speaker 1: seen a pull on this, but I would take a

792
00:48:46,640 --> 00:48:49,719
Speaker 1: educated guest that Bernie Sanders fans aren't gonna go like,

793
00:48:49,760 --> 00:48:51,560
Speaker 1: oh well, I guess I would vote for Biden in

794
00:48:51,640 --> 00:48:54,880
Speaker 1: a pinch, like I don't think that there's yeah, I

795
00:48:54,920 --> 00:48:56,800
Speaker 1: don't think Biden gets to tell it like it is

796
00:48:56,880 --> 00:48:59,560
Speaker 1: credit though, I think Biden is considered by like a

797
00:48:59,600 --> 00:49:02,320
Speaker 1: Bernie standard Bernie supporter button is probably considered to be

798
00:49:02,400 --> 00:49:05,960
Speaker 1: more of an establishment like politicis politicians. Brine Sanders has

799
00:49:06,040 --> 00:49:08,200
Speaker 1: just seemed to be like pure authenticity. Like I'm just

800
00:49:08,239 --> 00:49:10,160
Speaker 1: gonna I've been saying the same thing for fifty years.

801
00:49:10,520 --> 00:49:14,600
Speaker 1: I've always been a champion of this stuff socialist. That's

802
00:49:14,640 --> 00:49:17,480
Speaker 1: what seemed so bullshitty to me about their take, and

803
00:49:17,640 --> 00:49:21,400
Speaker 1: this this just seems to be the standard. I think

804
00:49:21,480 --> 00:49:27,200
Speaker 1: the standard political analysts take is like they have these

805
00:49:27,280 --> 00:49:29,799
Speaker 1: broad platitudes, but then like they applied it, like one

806
00:49:29,800 --> 00:49:32,800
Speaker 1: person was saying Buddha Jedge was the authentic one, and

807
00:49:32,840 --> 00:49:35,160
Speaker 1: then another person was saying a different person was was

808
00:49:35,320 --> 00:49:38,759
Speaker 1: the authentic one. And it's just I think maybe at

809
00:49:38,760 --> 00:49:44,240
Speaker 1: a certain point those people's political alchemy ideas held water.

810
00:49:44,440 --> 00:49:47,640
Speaker 1: But now like we're in a new world and they're

811
00:49:47,680 --> 00:49:52,120
Speaker 1: having to just use a like a single point of

812
00:49:52,280 --> 00:49:54,759
Speaker 1: reference in the two thousand and sixteen election, Like in

813
00:49:54,840 --> 00:49:56,560
Speaker 1: the past, they could be like, well, you know, going

814
00:49:56,600 --> 00:49:58,840
Speaker 1: back to the seventies, this has happened. That has happened,

815
00:49:59,080 --> 00:50:02,759
Speaker 1: but they were all wrong about the so they're having

816
00:50:02,840 --> 00:50:05,800
Speaker 1: to just be like, well, in the election, it was

817
00:50:05,840 --> 00:50:09,120
Speaker 1: about authenticity or yeah, that's why Trump won. And I

818
00:50:09,160 --> 00:50:11,120
Speaker 1: mean I think there's maybe a point to that, like that,

819
00:50:11,280 --> 00:50:13,200
Speaker 1: you know, people who have been burned, like all of

820
00:50:13,280 --> 00:50:16,080
Speaker 1: these people just got sort of piped by Donald Trump.

821
00:50:16,160 --> 00:50:18,480
Speaker 1: So they're like, oh, yeah, bro, I mean you know so,

822
00:50:18,880 --> 00:50:22,560
Speaker 1: but that gives you the sort of the purest perspective potentially,

823
00:50:22,760 --> 00:50:25,759
Speaker 1: like there, you do have to explain it somehow. Yeah,

824
00:50:26,200 --> 00:50:29,800
Speaker 1: like the fact that he flipped Obama voters famously and

825
00:50:29,880 --> 00:50:32,680
Speaker 1: that he flipped you know, some people were Bernie voters

826
00:50:32,680 --> 00:50:34,400
Speaker 1: who voted for Trump, and I was like, you have

827
00:50:34,480 --> 00:50:36,520
Speaker 1: to figure out how to explain that in some way,

828
00:50:36,760 --> 00:50:40,000
Speaker 1: some overarching way. People say like, oh, it's just that

829
00:50:40,040 --> 00:50:42,359
Speaker 1: everybody who voted for Donald Trump is a racist. Yeah,

830
00:50:42,560 --> 00:50:46,000
Speaker 1: that's one overarching theory. Another is is this one that

831
00:50:46,120 --> 00:50:48,799
Speaker 1: it's like has something to do with you know, people

832
00:50:48,960 --> 00:50:51,920
Speaker 1: have feel of visceral basically, I think if I understand

833
00:50:52,000 --> 00:50:54,279
Speaker 1: what they like, the thread is that all these people

834
00:50:54,280 --> 00:50:55,920
Speaker 1: are trying to get at you need to engage with

835
00:50:55,960 --> 00:50:59,839
Speaker 1: people in some visceral emotional level. And I think that's

836
00:50:59,840 --> 00:51:02,800
Speaker 1: a that's not a new idea and like politics that

837
00:51:02,920 --> 00:51:05,160
Speaker 1: you have to like get to people like that's why

838
00:51:05,239 --> 00:51:08,000
Speaker 1: Donald Trump can, you know, do whatever he wants and

839
00:51:08,080 --> 00:51:11,319
Speaker 1: nobody doesn't lose any supporters, including farmers that are being

840
00:51:11,400 --> 00:51:15,360
Speaker 1: actively financially screwed up by his trade fights. They're like,

841
00:51:15,440 --> 00:51:17,640
Speaker 1: he's fighting for us, he's fighting. They think he's fighting,

842
00:51:17,719 --> 00:51:19,360
Speaker 1: he's fighting for that. I also don't know if you

843
00:51:19,440 --> 00:51:24,279
Speaker 1: can completely separate platform and policy from the visceral level.

844
00:51:24,320 --> 00:51:27,239
Speaker 1: I think they're actually and I don't think you're saying that,

845
00:51:27,440 --> 00:51:31,680
Speaker 1: but um, like you know, full disclosure as a Bernie

846
00:51:31,719 --> 00:51:35,640
Speaker 1: bro who's also clearly a Russian agent. But um, but

847
00:51:35,920 --> 00:51:38,040
Speaker 1: I mean I'm not I'm actually not like I'm not

848
00:51:38,200 --> 00:51:41,680
Speaker 1: like a fanatic. I don't you know, I don't have heroes,

849
00:51:42,560 --> 00:51:47,080
Speaker 1: but I you know, for me, any emotional connection to

850
00:51:47,480 --> 00:51:51,480
Speaker 1: a policymaker has to do with what there's like what

851
00:51:51,760 --> 00:51:55,280
Speaker 1: platform they have. So if like Bernie came out tomorrow

852
00:51:55,320 --> 00:51:58,040
Speaker 1: and was like, you know, it's great that we're keeping

853
00:51:58,080 --> 00:52:00,719
Speaker 1: migrant children in cages, I would hate him because like

854
00:52:00,880 --> 00:52:03,840
Speaker 1: that's a terrible thing to say. So it's it's connected

855
00:52:03,960 --> 00:52:07,120
Speaker 1: to to policy now. So it's like if someone else,

856
00:52:07,200 --> 00:52:09,920
Speaker 1: if some other candidate other than Burning with a different

857
00:52:09,920 --> 00:52:12,880
Speaker 1: personality is saying the same things he is, are similar

858
00:52:13,000 --> 00:52:15,520
Speaker 1: things like sort of like Elizabeth Warren, it's like I

859
00:52:15,640 --> 00:52:18,160
Speaker 1: still feel the same kind of you know, like Okay,

860
00:52:18,200 --> 00:52:21,160
Speaker 1: I I like what she's saying or like whatever this

861
00:52:21,280 --> 00:52:24,000
Speaker 1: person is saying, because I think that a lot of

862
00:52:25,120 --> 00:52:28,799
Speaker 1: especially younger people, are getting more cynical about like, well,

863
00:52:29,120 --> 00:52:33,000
Speaker 1: just because someone you know acts like your friend or

864
00:52:33,120 --> 00:52:36,440
Speaker 1: something doesn't mean they're actually gonna um do that. And

865
00:52:36,520 --> 00:52:40,719
Speaker 1: I think that instead of copying the Trump model, I

866
00:52:40,800 --> 00:52:42,880
Speaker 1: think it's important to kind of learn from this, Like

867
00:52:43,200 --> 00:52:45,960
Speaker 1: if you have someone who makes these big promises or

868
00:52:46,000 --> 00:52:48,640
Speaker 1: so something, but they really just kind of, you know,

869
00:52:48,800 --> 00:52:51,560
Speaker 1: playing you to get elected, I think people are don't

870
00:52:51,800 --> 00:52:54,120
Speaker 1: like that. They don't they don't want that specific and

871
00:52:54,200 --> 00:52:56,239
Speaker 1: that's what that's what his weakness may turn out to be.

872
00:52:56,320 --> 00:52:58,040
Speaker 1: And it may, in fact be somebody like Warren who

873
00:52:58,080 --> 00:53:02,120
Speaker 1: gets to be this authenticity. She may get to be

874
00:53:02,280 --> 00:53:04,640
Speaker 1: that candidate. And like if you have to at Lawson saying, like,

875
00:53:04,719 --> 00:53:07,480
Speaker 1: listen to what she's saying, Like she's on her way already, clearly,

876
00:53:07,760 --> 00:53:09,920
Speaker 1: you know, yeah, And I just I don't. It's like

877
00:53:10,280 --> 00:53:14,080
Speaker 1: I almost don't. I don't care. I feel and maybe

878
00:53:14,120 --> 00:53:16,520
Speaker 1: I'm just tired, but I don't care if a candidate

879
00:53:16,760 --> 00:53:19,440
Speaker 1: is authentic. I don't even know what that means anymore.

880
00:53:19,520 --> 00:53:22,560
Speaker 1: Like I don't know, I don't know what, I don't

881
00:53:22,600 --> 00:53:24,719
Speaker 1: know what well I don't even know, Like I don't

882
00:53:24,760 --> 00:53:28,000
Speaker 1: know what Elizabeth Warren truly believes. I don't know what Bernie.

883
00:53:28,040 --> 00:53:30,360
Speaker 1: I mean, you can kind of guess. I mean, Bernie

884
00:53:30,400 --> 00:53:33,400
Speaker 1: Sanders seems to have had a pretty consistent platform, so

885
00:53:33,960 --> 00:53:38,000
Speaker 1: that's a that's a good sign. But right, I just

886
00:53:38,160 --> 00:53:40,360
Speaker 1: don't It's like, what are their intentions? Like I just

887
00:53:40,480 --> 00:53:43,799
Speaker 1: don't care what their intentions. I really care about them

888
00:53:44,320 --> 00:53:47,799
Speaker 1: showing me what their policy is. Like if someone if

889
00:53:47,840 --> 00:53:50,200
Speaker 1: a candidate says something like, well, I want to work

890
00:53:50,360 --> 00:53:53,320
Speaker 1: towards you know, more togetherness or something, It's like, that

891
00:53:53,360 --> 00:53:56,080
Speaker 1: doesn't mean anything to me, Like I want to work

892
00:53:56,160 --> 00:53:59,040
Speaker 1: towards solutions. I don't know what that means. That doesn't

893
00:53:59,080 --> 00:54:02,120
Speaker 1: mean anything. You know, if you show me a specific platform,

894
00:54:02,160 --> 00:54:04,920
Speaker 1: I mean, there's obviously always the chance that you don't

895
00:54:05,760 --> 00:54:08,840
Speaker 1: follow that platform. But I think candidates, right and I

896
00:54:08,880 --> 00:54:12,239
Speaker 1: think candidates often will hint like if you if you

897
00:54:12,360 --> 00:54:16,279
Speaker 1: kind of go back and like litigate you know, Hillary's

898
00:54:16,440 --> 00:54:19,800
Speaker 1: campaign or even go back to Obama's campaign, sure like

899
00:54:20,000 --> 00:54:22,440
Speaker 1: there may you know, you can actually see things in

900
00:54:22,480 --> 00:54:25,839
Speaker 1: their platform that you know, maybe um right now would

901
00:54:25,880 --> 00:54:29,879
Speaker 1: be not at all agreeable to the more populist point

902
00:54:29,920 --> 00:54:32,200
Speaker 1: of view. So I think that voters just really want

903
00:54:32,560 --> 00:54:35,279
Speaker 1: they want specific things in the platform that they can

904
00:54:35,320 --> 00:54:37,920
Speaker 1: point to and say, like, look, I know someone who

905
00:54:37,960 --> 00:54:41,520
Speaker 1: has diabetes and needs insulin and like and if you're

906
00:54:41,600 --> 00:54:43,960
Speaker 1: telling me that you will cover that with a healthcare plan,

907
00:54:44,080 --> 00:54:46,080
Speaker 1: that means something to me. That's a that's an actual

908
00:54:46,280 --> 00:54:49,120
Speaker 1: meaningful position. I don't know how you can get more specific.

909
00:54:49,320 --> 00:54:52,439
Speaker 1: Then there's not a red America or Blue America. There's

910
00:54:52,440 --> 00:54:58,360
Speaker 1: the unit means that's real bring our butt holes together momentum.

911
00:54:58,960 --> 00:55:03,520
Speaker 1: But but but I'm very cynical about Tucker Carlson though, um,

912
00:55:04,040 --> 00:55:09,880
Speaker 1: because I feel I think, I mean, maybe I shouldn't be,

913
00:55:10,000 --> 00:55:13,640
Speaker 1: but I mean, obviously he's a lying, weasel, scumbag. It's

914
00:55:13,680 --> 00:55:15,680
Speaker 1: not it's not that it's that I wonder, like what

915
00:55:16,440 --> 00:55:18,520
Speaker 1: whether it's like, oh, they see the writing on the

916
00:55:18,640 --> 00:55:21,520
Speaker 1: wall and they see that this is this is the

917
00:55:21,640 --> 00:55:24,759
Speaker 1: way to go now. I don't think it's that. I

918
00:55:24,840 --> 00:55:26,520
Speaker 1: think he was his main point that he was trying

919
00:55:26,520 --> 00:55:28,719
Speaker 1: to make. He's trying to shame Republican. He's trying to say, like,

920
00:55:29,000 --> 00:55:32,480
Speaker 1: where are my Republicans on this issue? He's really trying

921
00:55:32,560 --> 00:55:35,560
Speaker 1: to I think he knows that Fox News can lead

922
00:55:36,400 --> 00:55:40,239
Speaker 1: politicians in their platforms and get get like it's a

923
00:55:40,360 --> 00:55:46,520
Speaker 1: weird sort of you know, its own butt hole situation.

924
00:55:47,000 --> 00:55:54,319
Speaker 1: Maybe maybe Tucker Carlson's kind every I mean, he did

925
00:55:54,400 --> 00:55:56,920
Speaker 1: save us from going to war with you that's I

926
00:55:56,960 --> 00:55:59,600
Speaker 1: don't even know if we talked about that, but you

927
00:56:00,560 --> 00:56:03,680
Speaker 1: said that he was locked and loaded and ready to

928
00:56:04,400 --> 00:56:10,480
Speaker 1: uh bomb Iran. And then Tucker Carlson told him basically

929
00:56:11,400 --> 00:56:14,279
Speaker 1: through the through the TV was like you know they're

930
00:56:14,280 --> 00:56:18,040
Speaker 1: talking the phone. Oh. He said that it was gonna

931
00:56:18,320 --> 00:56:21,800
Speaker 1: make him lose a lot of popularity, and it reminded

932
00:56:21,880 --> 00:56:23,719
Speaker 1: that it reminded him that he ran on not doing

933
00:56:23,760 --> 00:56:27,200
Speaker 1: these crazy intervention ast wards Like so that's so sickening

934
00:56:27,360 --> 00:56:30,160
Speaker 1: just that we're like, you know, there but by the

935
00:56:30,239 --> 00:56:35,000
Speaker 1: grace of Tucker Carlson, go away. It's yeah, I'm then

936
00:56:35,840 --> 00:56:40,279
Speaker 1: not a sickening as if they yeah, like I will

937
00:56:40,719 --> 00:56:44,920
Speaker 1: you know, if if Tucker Carlson prevents a war with Iran,

938
00:56:45,000 --> 00:56:46,440
Speaker 1: I don't know, it doesn't need to deserve like a

939
00:56:46,520 --> 00:56:53,280
Speaker 1: Nobel Peace Prize or something. Your words putting the questions

940
00:56:53,320 --> 00:56:56,799
Speaker 1: out there. You're the one who said, right, uh, well,

941
00:56:56,880 --> 00:56:59,600
Speaker 1: we only have time for one more and that we

942
00:57:00,080 --> 00:57:02,440
Speaker 1: have to get this story. And guys, Sharman has put

943
00:57:02,480 --> 00:57:07,799
Speaker 1: out a what they're calling a forever roll of toilet paper. Uh.

944
00:57:08,040 --> 00:57:11,040
Speaker 1: It's impractically huge. It looks like one of those giant

945
00:57:11,120 --> 00:57:14,759
Speaker 1: wheels of cheese. Um, but they came. They claim it

946
00:57:14,880 --> 00:57:20,840
Speaker 1: can last you a month of just near constant shipping. Uh.

947
00:57:21,040 --> 00:57:25,200
Speaker 1: And it's twelve inches the equivalent of twenty four toilet

948
00:57:25,240 --> 00:57:29,800
Speaker 1: paper rolls. And it's being hailed as the toilet paper

949
00:57:29,920 --> 00:57:34,360
Speaker 1: roll for millennials because it cuts down on because we

950
00:57:34,480 --> 00:57:37,520
Speaker 1: can't afford space, we all we all live in a

951
00:57:37,680 --> 00:57:44,080
Speaker 1: box and so uh you know right, yeah, yeah, no totally.

952
00:57:44,960 --> 00:57:48,960
Speaker 1: But it's basically the idea that what are the two

953
00:57:49,000 --> 00:57:51,920
Speaker 1: things millennials hate? They don't have any space to live

954
00:57:51,960 --> 00:57:54,560
Speaker 1: in and they hate leaving the house. This takes care

955
00:57:54,600 --> 00:57:57,480
Speaker 1: of that. You have toilet paper roll that you can

956
00:57:57,600 --> 00:58:00,320
Speaker 1: eat off of it can the like your I use,

957
00:58:00,440 --> 00:58:03,480
Speaker 1: I use kitchen table. I used toilet paper for every

958
00:58:03,640 --> 00:58:06,800
Speaker 1: Like what millennials do is like we like we kill

959
00:58:06,880 --> 00:58:10,040
Speaker 1: industries and we use toilet paper for literally every purpose.

960
00:58:10,160 --> 00:58:17,920
Speaker 1: So like place mats, napkins, paper towel, engagement rings, engagement rings, um,

961
00:58:18,480 --> 00:58:20,920
Speaker 1: casts if we break our legs because we don't have

962
00:58:21,080 --> 00:58:23,520
Speaker 1: health and wrap your arm and to dip it in

963
00:58:23,560 --> 00:58:27,240
Speaker 1: the toilet hardens up to dress up as mommy's or

964
00:58:27,400 --> 00:58:31,200
Speaker 1: to actually use in funerary rituals because again we don't

965
00:58:31,280 --> 00:58:35,320
Speaker 1: have any money. Um, but yeah, this is wait, so

966
00:58:35,440 --> 00:58:39,320
Speaker 1: what makes so I'm still not clear on the concept

967
00:58:39,360 --> 00:58:44,640
Speaker 1: of what makes this toilet paper so special that it rolls.

968
00:58:44,880 --> 00:58:48,840
Speaker 1: It's big, it's big, but they're compact or no, it's

969
00:58:48,920 --> 00:58:53,840
Speaker 1: just the toilet paper roll. Ever, But how's that supposed

970
00:58:53,840 --> 00:58:57,880
Speaker 1: to help me with space? Because think about how much

971
00:58:57,920 --> 00:59:00,600
Speaker 1: space rolls of toilet paper take up. It's like a

972
00:59:00,760 --> 00:59:04,880
Speaker 1: giant bob visualizing it right, whereas twenty it was just

973
00:59:04,960 --> 00:59:07,160
Speaker 1: a giant wheel. Yeah, it's just one wheel, like a

974
00:59:07,520 --> 00:59:11,400
Speaker 1: cheese wheel of a cheese wheeler. It's exactly the size

975
00:59:11,440 --> 00:59:14,280
Speaker 1: of a wheel of parms. Yeah, how's that That's not

976
00:59:14,320 --> 00:59:17,640
Speaker 1: going to fit in my little toilet dispenser, toilet roll dispenser.

977
00:59:18,000 --> 00:59:21,000
Speaker 1: So that's that is the other genius thing is that

978
00:59:21,160 --> 00:59:24,840
Speaker 1: they're providing the toilet roll dispensers. That's how they get

979
00:59:25,120 --> 00:59:30,160
Speaker 1: coming and going. It's like the's like the computer, Like,

980
00:59:30,240 --> 00:59:32,840
Speaker 1: here's our new Apple computer and here's the toilet rolls.

981
00:59:33,320 --> 00:59:39,240
Speaker 1: Wait could you it's actually on a subscription service like

982
00:59:39,360 --> 00:59:43,600
Speaker 1: six years in your printing toilet roll cloud that you

983
00:59:43,680 --> 00:59:47,640
Speaker 1: have to subscribe to. They that would be really funny,

984
00:59:47,680 --> 00:59:51,480
Speaker 1: like an automated toilet paper dispenser. It has the toilet

985
00:59:51,520 --> 00:59:53,840
Speaker 1: paper in there, but if your subscription runs out, it's

986
00:59:53,880 --> 00:59:56,240
Speaker 1: just like and then it knows that your moment of

987
00:59:56,360 --> 00:59:59,120
Speaker 1: need and it's like, well, suddenly the toilet paper is

988
00:59:59,240 --> 01:00:02,880
Speaker 1: now twenty dollars apply. Yeah, that's how they get you,

989
01:00:03,000 --> 01:00:09,440
Speaker 1: get coming and going the bathroom. Get it. Yeah. Jack's

990
01:00:09,480 --> 01:00:12,160
Speaker 1: never gonna let me on this podcast again. I think

991
01:00:12,200 --> 01:00:14,080
Speaker 1: I literally said what the hell is wrong with you?

992
01:00:14,240 --> 01:00:21,600
Speaker 1: During there? I've never seen him that are either. Uh well, Katie,

993
01:00:21,680 --> 01:00:23,440
Speaker 1: I wish I could say it's been great heaven you

994
01:00:24,880 --> 01:00:27,640
Speaker 1: know it has as always. Where can people find you?

995
01:00:27,960 --> 01:00:30,520
Speaker 1: You can find me on the street now, don't do

996
01:00:30,680 --> 01:00:34,560
Speaker 1: that please. I'm on Twitter at Katie Golden and I'm

997
01:00:34,600 --> 01:00:37,320
Speaker 1: also a bird on Twitter at pro bird Writes. And

998
01:00:37,800 --> 01:00:41,840
Speaker 1: I have a podcast called Creature Feature, which is every

999
01:00:41,920 --> 01:00:45,920
Speaker 1: Wednesday at the same place as you can find this podcast. Um,

1000
01:00:46,440 --> 01:00:49,400
Speaker 1: what is it? It's a podcast on animal and human

1001
01:00:49,480 --> 01:00:52,560
Speaker 1: behavior and you know, we're not so different after all.

1002
01:00:52,680 --> 01:00:56,959
Speaker 1: And uh, sometimes animal behavior is weirdly human and human

1003
01:00:57,040 --> 01:00:59,680
Speaker 1: behavior is weirdly animal. And that's what we talk on

1004
01:00:59,760 --> 01:01:03,560
Speaker 1: and have a comedian on and I explained disgusting evolutionary

1005
01:01:03,600 --> 01:01:10,840
Speaker 1: biology facts to them and they react appropriately, um and inappropriate. Yeah,

1006
01:01:11,280 --> 01:01:15,120
Speaker 1: And then you can follow the podcast at Creature Feet

1007
01:01:15,160 --> 01:01:18,880
Speaker 1: Pod on Twitter, f e a t or on Instagram

1008
01:01:19,040 --> 01:01:22,120
Speaker 1: at Creature Feature Pod and online at Creature Feature or

1009
01:01:22,240 --> 01:01:24,520
Speaker 1: just Creature feature pod dot com. And is there a

1010
01:01:24,600 --> 01:01:28,360
Speaker 1: tweet you've been enjoying? Yeah, there is. Um. This is

1011
01:01:28,480 --> 01:01:37,400
Speaker 1: by brose a wh brose A brose a name as

1012
01:01:37,760 --> 01:01:42,320
Speaker 1: whoiver do uh easier names to read guys, please? Um?

1013
01:01:42,440 --> 01:01:45,479
Speaker 1: But he writes before memes, guys used to sit around

1014
01:01:45,520 --> 01:01:47,800
Speaker 1: in a circle and loudly quote anchorment in each other

1015
01:01:47,920 --> 01:01:51,240
Speaker 1: for literal hours. That's true. That is true. That's what

1016
01:01:51,400 --> 01:01:54,320
Speaker 1: we used to do. Yeah. And now for me, it

1017
01:01:54,520 --> 01:01:58,400
Speaker 1: was like it was Austin Powers. Yeah, Simpsons. For me,

1018
01:01:58,560 --> 01:02:03,320
Speaker 1: it was always, Uh, we had friends who said me

1019
01:02:03,400 --> 01:02:05,720
Speaker 1: and my friend Chris were like Simpsons. I felt Simpsons.

1020
01:02:05,760 --> 01:02:08,280
Speaker 1: I thought it was more him than me. But yeah,

1021
01:02:08,440 --> 01:02:12,080
Speaker 1: that's uh, that's do people not do that anymore. They

1022
01:02:12,200 --> 01:02:15,520
Speaker 1: just like, there's have you seen that one meme? Yeah?

1023
01:02:15,640 --> 01:02:18,000
Speaker 1: I don't. I think people just send each other memes

1024
01:02:18,120 --> 01:02:22,360
Speaker 1: now yeah, and don't talk. Yeah, And the only time

1025
01:02:22,440 --> 01:02:31,800
Speaker 1: they talk it's to say moo, that's right, Jesus Christ. Uh. Nick,

1026
01:02:32,960 --> 01:02:36,280
Speaker 1: hey man, it's been great having you here. Do we

1027
01:02:36,360 --> 01:02:39,840
Speaker 1: say up top that you are one of the producers

1028
01:02:39,920 --> 01:02:44,160
Speaker 1: of this show and usually the engineer oftentimes the engineer

1029
01:02:45,200 --> 01:02:47,800
Speaker 1: We did, Yeah, but I haven't been around in a minute,

1030
01:02:47,840 --> 01:02:52,720
Speaker 1: so credit words due to old Daniel DJ Daniel Goodman

1031
01:02:53,280 --> 01:02:56,200
Speaker 1: dropping the bombs. Uh some for some reason it was

1032
01:02:56,280 --> 01:03:02,520
Speaker 1: stuck at at some point earlier. But uh, Nick, where

1033
01:03:02,560 --> 01:03:05,720
Speaker 1: can people find you? I don't do any of this stuff.

1034
01:03:05,800 --> 01:03:07,880
Speaker 1: I gotta tell you, I just don't do it. Yeah,

1035
01:03:08,320 --> 01:03:11,520
Speaker 1: that's admirable. I think you're the first person that we've

1036
01:03:11,560 --> 01:03:13,960
Speaker 1: ever had on the show who doesn't. Uh. Is there

1037
01:03:13,960 --> 01:03:18,120
Speaker 1: a tweet you enjoyed or no? Uh? I can't. I

1038
01:03:18,200 --> 01:03:21,920
Speaker 1: can't say that there. I think Neil Michael Haggerty follow

1039
01:03:22,040 --> 01:03:26,600
Speaker 1: Neil Michael Haggerty on that he's a singer. Okay, do

1040
01:03:26,680 --> 01:03:28,720
Speaker 1: you like his songs or he's a good Yeah? I

1041
01:03:28,760 --> 01:03:32,040
Speaker 1: know he's he's Uh. He's really good artist also, but

1042
01:03:32,160 --> 01:03:35,440
Speaker 1: his Twitter feed is good. M hmm. Alright, well I'm

1043
01:03:35,440 --> 01:03:39,480
Speaker 1: gonna follow him right now. Tweet I enjoyed Mark mcgark

1044
01:03:40,200 --> 01:03:43,720
Speaker 1: at market. Lee tweeted me, how do I do my taxes?

1045
01:03:43,800 --> 01:03:47,880
Speaker 1: Public school? Shut the funk up in square dance? Um.

1046
01:03:48,520 --> 01:03:50,560
Speaker 1: You can find me on Twitter and Jack under Squirrel. Brian,

1047
01:03:50,600 --> 01:03:52,840
Speaker 1: you can find us on Twitter at Daily Zeitgeist. Were

1048
01:03:52,840 --> 01:03:55,240
Speaker 1: at the Daily Zeitgeist on Instagram. We have a Facebook

1049
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Speaker 1: fan page on a website, daily zeitgeis dot com, where

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Speaker 1: we post her episodes and our foot notes where we

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Speaker 1: link off to the information that we talked nice. They're

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Speaker 1: an echoing here, uhf to the information that we talked

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Speaker 1: about in today's episode, as well as the song we

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Speaker 1: ride out on. Nick, do you want to give us

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Speaker 1: a song? I got on? Actually got one. I coloaded

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Speaker 1: yea Um somebody he said cock because he can't do

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Speaker 1: anything without making it just slightly the problem on it. Um.

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Speaker 1: Song that I'd like to propose is by Kate Labon.

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Speaker 1: It was a great singer, okay, and I thought and

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Speaker 1: it was being a theatrical yawn okay. Um. Cay Lebon

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Speaker 1: is Welsh. She's awesome. She got a lot of good record.

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Speaker 1: She's a new record called Reward and this song is

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Speaker 1: called Home to You. The whole record is good. This

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Speaker 1: song is particularly fave currently on that laban uh Ellie

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Speaker 1: space bo it all right. The day was like guys

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Speaker 1: to the production of I Heart Radio. For more podcasts

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Speaker 1: from my Heart Radio, you can visit the I Heart

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Speaker 1: Radio app Apple podcast. I don't know, I guess that's

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Speaker 1: where some people listen to podcasts. Where wherever you listen

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Speaker 1: to your favorite shows, that's gonna do occur today. We

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Speaker 1: will be back. Oh yeah, I forgot to say that

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Speaker 1: you're going to be covering uh last night and to

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Speaker 1: nights democratic debates in tomorrow's episode, So tune in for that.

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Speaker 1: Uh talk to then to you is surname by the Night?

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Speaker 1: Can is ut? The town always all to You? I'm

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Speaker 1: a crosshead stupor dream loving on its breath.