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Speaker 1: Hello the Internet, and welcome to season ninety six, episode

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Speaker 1: two of the Daily Seitgeist production of by Heart Radio.

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

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

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Speaker 1: fuck coke Industries. And it's Tuesday, August twenty two thousand nine. Tea.

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Speaker 1: My name is Jack O'Brien ak gotta jack magic, whoa Brian?

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Speaker 1: That is courtesy of Hannah saultis hand on thrilled to

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Speaker 1: be joined as always buy my co host Mr mild

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Speaker 1: Grass as one of mouth, when a man good mass,

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Speaker 1: mighty many good math, when a mouth and a mouse

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Speaker 1: and a mouth, when a manigan mouth had to say

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Speaker 1: it again? Yeah, look, I asked friend Boga gaze and

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Speaker 1: that's what I received. Um, And I see a lot

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Speaker 1: of them in the pile, and I have to Sometimes

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Speaker 1: you gotta choose your children and kill the others. But

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Speaker 1: sometimes this one was a good one, So thank you too.

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Speaker 1: On Trippy, Nicole p At on Trippy that one dark

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Speaker 1: saying writings, Yeah, sometimes you need to kill your children.

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Speaker 1: Whoa it is? Why do you even have experience? Why

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Speaker 1: is that even a touch point for your baby? Sometimes

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Speaker 1: just killing your own children. Oh yeah, it's like, you know,

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Speaker 1: I was basically in the infanticide business and then I

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Speaker 1: got into a comedy writers to the writing Anyways, Miles,

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Speaker 1: we are thrilled to be joined in our third seat

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Speaker 1: by the hilarious actor, director, and improviser you know from

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Speaker 1: Wine Country Community and Drunk History. He is Mr Craig Kaske.

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Speaker 1: Hey what and honor to be here. Yeah, it's nice

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Speaker 1: to have you. Guess one of those other invokes songs

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Speaker 1: is three year Miles. Yeah did uh yeah, we had

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Speaker 1: a different already. Well, and no one actually did free

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Speaker 1: your Miles, but you know it's very malleable. Yeah, how

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Speaker 1: did they not do? What? What was for your mind?

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Speaker 1: What was the um? I think I did like the

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Speaker 1: first verse, the first first bar. Yeah, it was more

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Speaker 1: that would be the easy way to go. Yeah, he

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Speaker 1: Miles likes a challenge when it comes to approximating early

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Speaker 1: nineties R and B vocals. I just saw a couple

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Speaker 1: of letters lining up, and I'm like, Miles, mind that's yeah, yeah,

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Speaker 1: no it is. It's brilliant. It's kind of basic that

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Speaker 1: that's perfect. That's they're not that's not basic, you know

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Speaker 1: what I mean? I call it art all to honor

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Speaker 1: my name, Craig, We're gonna get to know you a

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Speaker 1: little bit better in a moment. First, we're going to

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Speaker 1: tell our listeners a few of the things we're talking about.

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Speaker 1: We're gonna look forward to our waterless future and what coffee,

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Speaker 1: how we will make coffee in those ends times. We're

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Speaker 1: gonna talk about how the White House is responding to

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Speaker 1: the idea of a potentially looming recession. We're gonna talk

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Speaker 1: about how this whole Biden thing is going behind the

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Speaker 1: scenes as regards his relationship to his best path one

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Speaker 1: Berry Obama. We're gonna talk about weight watchers. We're gonna

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Speaker 1: talk about just all sorts of things today masal Day,

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Speaker 1: what Amazon is doing just in general. But first, Craig,

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

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

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Speaker 1: just this morning I searched why do ant spite? Yeah?

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Speaker 1: Why do ants spite? We have kind of an ant

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Speaker 1: infestation at my house. Like if you leave out a

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Speaker 1: scrap of food like ten minutes, it's over. Yeah, It's

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Speaker 1: just just a dark line that's yes. Yeah. And then

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Speaker 1: frequently throughout the day, like I'll feel like a little

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Speaker 1: nip on my hand or my wrist or sometimes in

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Speaker 1: my car. I mean like I've tracked the ants in

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Speaker 1: with me. They're following me around, and uh you know

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Speaker 1: it's like a brief, painful bite. Uh. Now this is

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Speaker 1: on Cura, so this is crowdsource. So this is not

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Speaker 1: probably a legitimate answer. But ants to night bite humans

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Speaker 1: so as to attack them. Ants by humans only for

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Speaker 1: their defense and then in all caps, ants feel threatened

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Speaker 1: very quickly. Of course. How dare you drive to work

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Speaker 1: with an ant upon your wrist? Yeah? So little black

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Speaker 1: ants bite. Yeah, I didn't know that. I was when

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Speaker 1: you said that, I was like, yeah, those damn fire ants.

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Speaker 1: But I've had a ant bite. Yeah I felt that.

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Speaker 1: But they don't like leave a mark. No, Yah, you

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Speaker 1: just just send a little that they hit you a

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Speaker 1: little bit. Yeah, it's brief and then they immediately die. Yeah,

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Speaker 1: snack it and they're dead. Learn your lesson. Yeah, I'm

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Speaker 1: wondering if there's an ant somewhere googling, why do humans

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Speaker 1: smash us to smithereens? Or he's like a I remember

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Speaker 1: back when we had him really bad at my house.

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Speaker 1: Growing up, my parents always put like huge salt barriers

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Speaker 1: like ost the doorways because it will dry out there

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Speaker 1: like exoskeleton. I would assume your house was haunted if

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Speaker 1: I walked in, yeah, and just saw welcome We've been

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Speaker 1: expecting you cannot pass exactly. What is something you think

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Speaker 1: is overrated? I'm gonna say, backing into a parking spot, okay,

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Speaker 1: unless you're a getaway driver for the barrel game. You

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Speaker 1: don't need to back into a Some people to do

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Speaker 1: that to do it, and it's always the douche car

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Speaker 1: or a gigantic pickup truck. I guess what, what is

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Speaker 1: it just easier to get out? I don't know. I mean,

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Speaker 1: I I see in certain like in Japan, you typically

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Speaker 1: have to back up back into every space no matter

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Speaker 1: where you park. It's really really yeah, I don't know,

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Speaker 1: Like I'm sure there is some logic to it that

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Speaker 1: I've just not actually discovered. But I'm always like damn,

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Speaker 1: because I would always remember my uncle just finessing cars

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Speaker 1: so easy. I'm like, damn, that's a flex. Well, I

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Speaker 1: think sometimes it's just a flex. It's a way to

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Speaker 1: like show off how good you are without especially without

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Speaker 1: a backup camera because in the pre backup camera days,

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Speaker 1: I thought that was like a god level way of

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Speaker 1: entering a park express. So I mean the thing that

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Speaker 1: it as it makes it easier to get out right,

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Speaker 1: And I guess it's probably safer to back into a

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Speaker 1: parking spot than to back out, because you know what's

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Speaker 1: back there when you're backing into a spot. But the

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Speaker 1: only times I've ever attempted is when I was like

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Speaker 1: really feeling good about my ability to drive a car

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Speaker 1: backwards a k drunk. Uh. I do not have a

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Speaker 1: backup cam yet, so all my cars are pre Yeah,

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Speaker 1: so they say, oh, you know what, it's it's just

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Speaker 1: safer to actually back into a and you're using you're

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Speaker 1: using you're making use of the uh, the axle, like

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Speaker 1: the pivot point of the car, so it's easier to

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Speaker 1: back in. And like what if you're not backing out,

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Speaker 1: you're not running into someone as you back out, you're

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Speaker 1: not hitting another car as you back out, you're facing

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Speaker 1: where you're going if you're back into the space right,

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Speaker 1: But there could be somebody who's just walked into that

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Speaker 1: space or something like yeah, look man, look I'm still

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Speaker 1: gonna go head in, you know what I mean. It's

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Speaker 1: also good. You can't say it's not that cool for

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Speaker 1: the people who are behind you because it takes longer

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Speaker 1: for you to get into your parking spot unless you're

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Speaker 1: you're you're you're equipped with the skills, right, That's true.

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Speaker 1: That's the main thing I think is douche is the

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Speaker 1: amount of time and space you take up in order

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Speaker 1: to do it. It's funny that you mentioned that I

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Speaker 1: backed into a parking space yesterday for the first time

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Speaker 1: at a grocery store. Yeah. I don't know what it.

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Speaker 1: I think it was just one of those timing things

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Speaker 1: where someone was passing me by and I didn't want

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Speaker 1: to turn in to cut them off, so I kind

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Speaker 1: of went past this spot and I was like, you

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Speaker 1: know what, yeah, a little yeah, yeah, I definitely I

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Speaker 1: came in a little crooked, had to come out straight

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Speaker 1: and then ease it in for the full on, you know,

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Speaker 1: docking position. But it was odd. It was very much

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Speaker 1: I can like. I was like, this is the first

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Speaker 1: time I backed into this parking space in years. I'm

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Speaker 1: gonna change it to my underrated no no, And I

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Speaker 1: thought that these kids are like at this douche bag,

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Speaker 1: and then I just left. I'm not surprised there's a

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Speaker 1: scientific support for that move online. I feel like it's

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Speaker 1: a thing that people on the internet would love to

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Speaker 1: talk about it is. Yeah, like they all point to

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Speaker 1: it's safer, right, right, So the Internet is not disappointing

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Speaker 1: on this topic for sure. Yeah, what is something you

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Speaker 1: think is underrated? I'm sorry, just one. I think Triple A.

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Speaker 1: The official word from Triple A is that drivers should

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Speaker 1: reverse into parking spaces whenever possible, except where prohibited by

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Speaker 1: law might trip. I am a Triple A member. OBI

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Speaker 1: shout out to them for just being able to hook

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Speaker 1: your friend up who doesn't have Triple A right and

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Speaker 1: be like, yeah, that's my car, and they're like, yeah, sure,

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Speaker 1: jump it. You're gonna trust them? Yeah? Well no, I

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Speaker 1: just I like Triple A. You know, yeah they don't.

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Speaker 1: They don't bust your balls, I know, but they get

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Speaker 1: business when your car gets a little dinged up, right, So,

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Speaker 1: I mean, who who knows where they're coming. They get

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Speaker 1: a little cut to conspiracy, a little piece of big

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Speaker 1: Triple I just like to feel wanted big reverse parking.

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Speaker 1: Yeah exactly. No, I'm sure it's better. It's just just

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Speaker 1: how I do it. So what is something you think

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Speaker 1: is underrated. I'm gonna stay with cars and I'm gonna

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Speaker 1: go with automated car washes. Automated car washes are amazing.

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Speaker 1: I was just trying to also do that this weekend. Yeah,

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Speaker 1: we're on the same wave length. Wait, so, describe the

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Speaker 1: automated kind of car wash you're talking about. Well, mine,

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Speaker 1: personally in my neighborhood, it's like thirteen bucks for a

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Speaker 1: for a super wax car wash, you know, super wax.

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Speaker 1: You put it in neutral, you line up to that thing.

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Speaker 1: There's there's a little bit of theater and anticipation leading

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Speaker 1: up to it. You know, you gotta push in your mirrors,

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Speaker 1: you know, lower right now, you know, and then you

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Speaker 1: just get whacked by those yeah plastic things and there's bubbles.

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Speaker 1: It's like a sensory overload. Yeah, and it takes me

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Speaker 1: back to when I was a kid and going through

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Speaker 1: car wash. So it's one that you get to sit

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Speaker 1: inside the car, supposed to have to leave the car, yeah,

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Speaker 1: just like yeah, and then you're out were there's places

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Speaker 1: in l a where you have to wash your own car, Like,

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Speaker 1: what's what's the pride for three bucks? You get six minutes? Yeah,

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Speaker 1: the coin operator ones. Yeah, like I understand like paying

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Speaker 1: a guy to do it, that's fine. You know, I'm

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Speaker 1: willing to do that. But I love to sit in

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Speaker 1: the car and watch the show. Would you listen to

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Speaker 1: uh just uh you know psychedelic rock, yeah, Moody blues

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Speaker 1: or you know, get your star out and play along.

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Speaker 1: That guy's right right, it's yeah. I was looking at

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Speaker 1: my car was fill it still is filthy if I

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Speaker 1: just hosted it off instead of getting a car watched.

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Speaker 1: Because I don't believe in car watches anyway, I was

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Speaker 1: looking for one, and the few that I looked at

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Speaker 1: the reviews they scared me away because you're like the

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Speaker 1: buffing thing ripped off my windshield wipers and they acted

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Speaker 1: like nothing happened, or like I don't know what happened

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Speaker 1: to my door, And I was like, wait, the door

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Speaker 1: was missing somehow, like something happened where like there was

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Speaker 1: clearly scrape scrapes along the thing where maybe the space

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Speaker 1: scrubber thing may have damaged like the paint. But that's

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Speaker 1: when also like I had to do that thing of

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Speaker 1: like how much of this is an actually you'll preview

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Speaker 1: and how much is someone projecting their own anger onto

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Speaker 1: the automated car wash. Long story short, their car was

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Speaker 1: probably so dirty they couldn't see the scratches before before.

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Speaker 1: They're like, what do you do in my car? Man?

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Speaker 1: You're like, my car is white? Changed the whole paint

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Speaker 1: in my car, Man went from cream to white. And

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Speaker 1: I'm sure Triple A says, don't wash your car automated.

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Speaker 1: You never know, you can't trust it. But I like it. Yeah,

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Speaker 1: I just had. I only went. I remember as a kid,

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Speaker 1: I very vivid of like begging to go through a

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Speaker 1: drive through car wash. Did it maybe? Once I hear

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Speaker 1: it's safer to go through backwards? Actually, baller move. What

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

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Speaker 1: know to be false. All right, I'm gonna throw this

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Speaker 1: out there and you know it. I will admit that

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Speaker 1: it is slightly gross, but I don't think it's the

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Speaker 1: worst thing, which is to find hair in your food

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Speaker 1: at a restaurant. You think it depends on it's not.

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Speaker 1: It's you can't get sick from it. You know of

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Speaker 1: all that we're mammals. You know we're shedding hair all

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Speaker 1: the time. As somebody who's weighted tables, I know that

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Speaker 1: Usually when people find hair in their food, it's their

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Speaker 1: own hair rather than something from the kitchen, you know.

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Speaker 1: And I'm not talking about like you know, six inch

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Speaker 1: pube and right right in your hashbrowns just curl little hair.

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Speaker 1: But the way the people curliness is not good. Curliness isn't.

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Speaker 1: Oh that's very anti curled hair. Yeah, straight hair privilege. Yeah,

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Speaker 1: and phus look like weird wire. That's what I think.

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Speaker 1: It's not. I'm not talking about curly head hair. I'm

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Speaker 1: talking about like sick, wiry curly yeah, because yeah, that's

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Speaker 1: that's a problem. But the idea that hair in your

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Speaker 1: food is like cause for indignation and you know, to

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Speaker 1: get your entire check cleared or whatever you like. If

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Speaker 1: you really grossed out by the kitchen will make it

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Speaker 1: again you out, but you don't need to raise a

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Speaker 1: stink about it or whatever. Usually I'll just take the

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Speaker 1: hair off and keep eating. I always just keep it

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Speaker 1: moving when I find hair, and people like, oh my god,

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Speaker 1: are you serious there's hair, And I'm like, dude, I

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Speaker 1: don't know, I'm high, and I need to eat right now.

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Speaker 1: I'm not about to wait another fifteen minutes for this

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Speaker 1: chicken pot pie to get redone miles hasn't eaten not

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Speaker 1: high in Uh yeah, it's two thousand five. I mean

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Speaker 1: the option is to like have people with their nets

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Speaker 1: hair nets and like beard nets and all that shure,

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Speaker 1: which just like puts the idea of their being hair

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Speaker 1: in your food in your head, like, yeah, something's going

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Speaker 1: to get through that beard. Yeah, or just like make

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Speaker 1: it quick, right, like a quick process, like hey, if

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Speaker 1: you find hair that's tim percent off or something, okay, yeah,

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Speaker 1: and you would sign right when you walk. But then

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Speaker 1: everyone's just like like scratching their scalpel over their food,

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Speaker 1: like I don't know, man, a bunch of danderfin here too? Well,

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Speaker 1: that's the thing. How do you how can you be

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Speaker 1: so certain that it's not your hair? I see? That's

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Speaker 1: where they need over head table cameras to show every

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Speaker 1: bite and you'll you can see and keep the customers

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Speaker 1: honest if they're not putting their own hair on the food,

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Speaker 1: are in fact finding it in the process of eating them?

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Speaker 1: Like what do you c s? I like, you can

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Speaker 1: tell the difference between like your hair and somebody else's hair.

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Speaker 1: Actually know, it would be very easy to solve d

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Speaker 1: n A right, So why don't you just get to

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Speaker 1: the future. We got it, and that would be the

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Speaker 1: next escalation for a server. They're already doing it with

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Speaker 1: dog poop, Like, what's actually your hair? Sir? Right, how

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Speaker 1: do you know? I'm gonna DNA tested right now? And

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Speaker 1: if it's true you you actually have to pay ten

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Speaker 1: percent more YEA for the cost of the DNA test.

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Speaker 1: And by the way, it's not dog poop left in

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Speaker 1: people's food. It's dog poop that people find on their lawn.

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Speaker 1: Is what's being actually the thing that is fucked up

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Speaker 1: when you eat hair? When you eat you as one

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Speaker 1: does you know when when it's that third Thursday of

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Speaker 1: the month, um is when you discover it mid bite

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Speaker 1: and you're like yeah, yeah, and you do the mystery

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Speaker 1: thing of like how long is it? How long is it?

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Speaker 1: How long is it? When you're you start pulling at

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Speaker 1: your lips and you feel something tickling the back of

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Speaker 1: your throat and then like it's wrapped around by custom too,

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Speaker 1: and then you when your date can have a lady

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Speaker 1: in the tramp thing long hair strand at the same time,

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Speaker 1: I will admit like it's not ideal, it's not ideal.

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Speaker 1: I'm not saying put hair on my food. I'm saying

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Speaker 1: it's you can't get sick from it. It's not the

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Speaker 1: worst thing, right, And I'm fully on board of that

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Speaker 1: because I'm a hair eater. Yeah, of all the things

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Speaker 1: that you can find, for some reason, eyelash doesn't seem

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Speaker 1: as bad to me. But eyelashes are gross, like when

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Speaker 1: you think, well, no, because when you think about like

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Speaker 1: the eye crust is actually little like microscopic creatures, microscopic

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Speaker 1: dreams that your eyelashes for better life. I'm just making

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Speaker 1: this up, but I feel like it's true. No, No,

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Speaker 1: there's like little kind of like insects, but they're they're

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Speaker 1: like microscopic organizing organisms that are like pooping stuff out.

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Speaker 1: That's what that. It's not just tears. No, it's not tears.

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Speaker 1: Are you fucking serious? I'm pretty sure. Okay, gang let

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Speaker 1: his mentions humans are disgusting. Every part of us is disgusting.

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Speaker 1: But if you want humans to serve your food, you

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Speaker 1: have to be willing to put up with a little

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Speaker 1: bit of uh yeah, some hair also, come on, y'all,

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Speaker 1: like you know, everything that's happening to your food along

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Speaker 1: the way to your table or even on its way

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Speaker 1: to the kitchen or on its way to earth? Right,

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Speaker 1: how far do we need to zoom out? Yeah, because

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Speaker 1: we can get really grossed out. Have you ever worked

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Speaker 1: in the food industry and like seeing something funked up

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Speaker 1: be done to? The closest was when I was serving pizzas,

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Speaker 1: Uh huh, but never anything. I mean, ship, what do

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Speaker 1: you see being done to the pizza? Nothing? Nothing got it.

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Speaker 1: It was a very simplified service thing, so it was

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Speaker 1: never really going to be like, oh, ship, that's what

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Speaker 1: they do. It's just like, here's a pizza. Yeah, yeah,

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Speaker 1: I s servers spitting people's food table pist you off? Huh.

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Speaker 1: This was in the nineties, though, I haven't waited tables

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Speaker 1: in a long time. Yeah, I think. But now they've

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Speaker 1: all spitting to each other's food. It was a crazy

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Speaker 1: time by just blew vape smoke and yeah. All right,

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Speaker 1: let's talk about our first story of the day. Coffee

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Speaker 1: maybe the new frontier in the fight against climate change. Yeah,

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Speaker 1: it's some As the u N has pointed out, climate

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Speaker 1: change I guess is real. So we may we need

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Speaker 1: to alter some past episodes when we were questioning that.

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Speaker 1: But it turns out very serious but you know, the

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Speaker 1: biggest concern too is obviously the drains on land and

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Speaker 1: water resources to grow things, and that a lot of

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Speaker 1: this has created a lot of talk about coffee because

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Speaker 1: apparently it takes some like over thirty gallons of water

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Speaker 1: to grow and process the beans. It takes for the

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Speaker 1: one cup of coffee a consumer would drink um. And

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Speaker 1: that's the same thing with like the cattle industry. To

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Speaker 1: like livestock obviously takes a tremendous amount of water, and

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Speaker 1: those are things that people are sort of aware of.

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Speaker 1: And so this new report seems to indicate that maybe

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Speaker 1: we're like moving towards a beamless coffee. So the same

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Speaker 1: group Horizon Ventures, who was an early investor in Impossible Foods,

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Speaker 1: who do like the impossible fake meat, but two point

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Speaker 1: six million into this company called a Tomo, which is

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Speaker 1: a Seattle based company that they make quote unquote molecular coffee.

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Speaker 1: And and this one this isn't sort of it's different

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Speaker 1: than like the animal fake like lab meat in that sense.

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Speaker 1: What they're doing is that they will make a cup

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Speaker 1: of coffee using just sort of all the chemical building blocks.

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Speaker 1: So that's quatic acid, dimethyl di sulfide niacin to ethel

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Speaker 1: phenol and a hand. Yeah. Yeah, they have to because

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Speaker 1: that's what it gives you. That that's sort of a

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Speaker 1: bite to it um. But yeah, essentially just saying like, Okay,

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Speaker 1: we know it's in coffee, let's just reverse engineer it

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Speaker 1: so it's no longer being such a water drain. They're

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Speaker 1: not here to say like this is the new coffee.

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Speaker 1: It's I think just in the same way of like

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Speaker 1: is there another way to do this? Is there another

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Speaker 1: way to arrive at this? This is less resource intensive

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Speaker 1: breaking things down to their component parts, and reverse engineering

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Speaker 1: never works, right right? Yeah, I mean well I think,

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Speaker 1: you know, it sounds like a good idea, but it's

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Speaker 1: still so early and like there's really no good information

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Speaker 1: on this company to suggest that like they've figured it out.

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Speaker 1: It's just that they're in the process of figuring it out, right.

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Speaker 1: I feel like food is the one thing that we've seen,

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Speaker 1: like over sciencing it up has not been beneficial up

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Speaker 1: to this point. Like the foods that are healthy are

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Speaker 1: the ones that go way way back, Like people who

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Speaker 1: are eating in a tradition that goes back like many

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Speaker 1: years are usually the healthier people uh, like Mediterranean diets,

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Speaker 1: and you know some like Japanese diet and and the

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Speaker 1: ones that are like kind of put together from component

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Speaker 1: parts and you know, in a lab somewhere by a

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Speaker 1: corporation are generally the ones that but I think making

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Speaker 1: the world. I don't think they're trying to be like,

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Speaker 1: this is the answer to your obesity. Is this molecular

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Speaker 1: cop you know? Which is more like? But I mean,

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Speaker 1: but I think if you you know, we eat impossible burgers, right,

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Speaker 1: and we think the heavens that there's this actually very

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Speaker 1: good meat substitute for a hamburger. So I feel like

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Speaker 1: I think it's when you get into like the blowing

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Speaker 1: out the scale of like produce and like the size

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Speaker 1: of vegetables that speaking of blowing out, are they taking

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Speaker 1: into account the number of flushes, the toilet flushes that

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Speaker 1: it takes to deal with. Sorry was writing for me,

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Speaker 1: Now you heard about this. I don't drink coffee, so

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Speaker 1: I'm not part of the problem. Yeah, and I drink

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Speaker 1: canned Kirkland signature colder that can't be coffee. I'm going

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Speaker 1: to say that I'm also not part of them. I

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Speaker 1: feel like the number of gallons of water that are

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Speaker 1: being used on each like thirty seven gallons water to

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Speaker 1: grow one coffee cup worth of beans or like, you know,

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Speaker 1: I feel like it's even more than that for a

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Speaker 1: hamburger is thirteen gowns for a twelve O steak Jesus,

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Speaker 1: And I feel like that's the new statistic, Like the

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Speaker 1: number of square miles of rainforests that are being lost

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Speaker 1: every second, like that just it like blows my mind.

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Speaker 1: It's like, well, that's so depressing that I don't know,

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Speaker 1: like what I can possibly do about that, Like that's

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Speaker 1: just an insane amount of Yeah, that's why I think

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Speaker 1: these are the sort of important things to factor in with,

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Speaker 1: like the u N saying like, you know, I think

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Speaker 1: going to meatless diets will help, because if you sort

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Speaker 1: of bring that demand down for traditional animal meat, that

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Speaker 1: will help things. But they're also people on the other

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Speaker 1: side to it, being like, well, how can we raise

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Speaker 1: livestock in a way that is also less of a

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Speaker 1: drain versus like fuck it, may I just blow the

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Speaker 1: ship out like output wise and whatever the resource costs,

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Speaker 1: whatever it is. But you know, I'm glad people are

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Speaker 1: thinking about it. Yeah, and then I can you know,

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Speaker 1: I just want to keep drinking my canned Kirkland if

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Speaker 1: I can do that, can't Kirkland water? Yeah, k that's

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Speaker 1: that's the future of water. Um yeah, I mean there's

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Speaker 1: all these things. There's they are developing a shower that

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Speaker 1: requires no water that you just like get in there

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Speaker 1: and it just fucking shakes you or something. I don't

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Speaker 1: know that that is so stupid. That is how I

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Speaker 1: pictured it in my mind. Like that's definitely not the

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Speaker 1: compressed air can blow the stink off, yeah, like clean

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Speaker 1: you like your keyboard? Well, there are those ones that

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Speaker 1: like there was like the super fine missing shower heads

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Speaker 1: that like hit you with like a very small amount

424
00:22:43,840 --> 00:22:46,720
Speaker 1: of water, but it was enough to like, yeah, I

425
00:22:46,880 --> 00:22:55,200
Speaker 1: like to shake the ship out of water, motherfucker. Yeah. Yeah. Anyways,

426
00:22:55,560 --> 00:22:59,960
Speaker 1: we're going into our waterless future with our eyes wide open. Guys.

427
00:23:01,560 --> 00:23:03,480
Speaker 1: All right, we're going to take a quick break. We'll

428
00:23:03,520 --> 00:23:17,520
Speaker 1: be right back. And we're back, and we're talking about

429
00:23:17,520 --> 00:23:22,160
Speaker 1: the difference between Impossible and Beyond Burgers. I'm team Impossible. Yeah,

430
00:23:22,359 --> 00:23:24,399
Speaker 1: I I don't know the difference. I thought they were

431
00:23:24,440 --> 00:23:28,440
Speaker 1: the same company until we had that conversation. Uh, let's

432
00:23:28,520 --> 00:23:32,560
Speaker 1: talk about how the White House is reacting with some

433
00:23:32,880 --> 00:23:35,800
Speaker 1: warning signs of recession going off. You know, we we've

434
00:23:35,880 --> 00:23:40,320
Speaker 1: talked before about how this administration has been having a

435
00:23:40,400 --> 00:23:46,440
Speaker 1: difficult time with the best economic like run in a

436
00:23:46,520 --> 00:23:49,919
Speaker 1: long time in US history going on, So like, how

437
00:23:50,000 --> 00:23:52,119
Speaker 1: are they going to react if things start getting a

438
00:23:52,160 --> 00:23:55,359
Speaker 1: little shaky and we're starting to see a couple examples

439
00:23:55,440 --> 00:23:59,320
Speaker 1: of that. Yeah, I mean everyone has pointed to the

440
00:23:59,640 --> 00:24:04,000
Speaker 1: yield curve inversion um which and then I'll post a

441
00:24:04,080 --> 00:24:07,040
Speaker 1: link in the footnotes to an excellent article in the

442
00:24:07,080 --> 00:24:09,000
Speaker 1: New York Times for once that was just sort of

443
00:24:09,119 --> 00:24:11,520
Speaker 1: using it as a as a like putting in the

444
00:24:11,600 --> 00:24:14,200
Speaker 1: context of sports betting, like you know, you could take

445
00:24:14,240 --> 00:24:17,280
Speaker 1: a bet like imagine these bonds, right, is a bet

446
00:24:17,400 --> 00:24:20,520
Speaker 1: on the economy, whether it's in the present or the future. Right,

447
00:24:20,600 --> 00:24:24,920
Speaker 1: And so the outlook right now is somewhat okay for

448
00:24:25,000 --> 00:24:27,159
Speaker 1: the economy, but down the road, a lot of the

449
00:24:27,720 --> 00:24:29,960
Speaker 1: knowledge around is like, I don't know about that, And

450
00:24:30,040 --> 00:24:33,399
Speaker 1: they put it like betting on like, for example, the Cardinals,

451
00:24:33,960 --> 00:24:36,560
Speaker 1: like right now don't look good, but they've got a

452
00:24:36,640 --> 00:24:39,760
Speaker 1: new quarterback and new coach, and the Arizona Cardinals that

453
00:24:39,880 --> 00:24:41,679
Speaker 1: looks like the build they could have a little more

454
00:24:41,720 --> 00:24:44,760
Speaker 1: confidence for people taking that bet because like, Okay, right

455
00:24:44,840 --> 00:24:46,280
Speaker 1: now might not be it, but down the road, I

456
00:24:46,320 --> 00:24:48,960
Speaker 1: can see things improving. Or imagine like if you're betting

457
00:24:49,000 --> 00:24:52,080
Speaker 1: on the Patriots in the wake of Tom Brady and

458
00:24:52,160 --> 00:24:55,240
Speaker 1: Belichick saying we're done after this season this season, you'd

459
00:24:55,240 --> 00:24:58,400
Speaker 1: be like, Okay, that's good long term. And that's sort

460
00:24:58,440 --> 00:25:00,080
Speaker 1: of what it is now with the US economy, Like

461
00:25:00,160 --> 00:25:02,640
Speaker 1: down the road, all everyone's starting to bet like, oh,

462
00:25:02,800 --> 00:25:05,280
Speaker 1: I don't know about the future. And again doesn't mean

463
00:25:05,440 --> 00:25:07,600
Speaker 1: that that's where it's headed, but it's been one of

464
00:25:07,640 --> 00:25:10,840
Speaker 1: the more consistent indicators of you know, a recession coming.

465
00:25:10,880 --> 00:25:12,920
Speaker 1: But I mean that's what Trump has been saying all along.

466
00:25:13,000 --> 00:25:15,520
Speaker 1: He's the Bill Belichick of this ship. As soon as

467
00:25:15,560 --> 00:25:17,920
Speaker 1: you get rid of him, your fun you're done. Yeah,

468
00:25:17,960 --> 00:25:19,280
Speaker 1: He's like, you better give me your fo O one

469
00:25:19,320 --> 00:25:23,040
Speaker 1: case they're gone. Um, So yeah, I mean, you know, again,

470
00:25:23,160 --> 00:25:25,679
Speaker 1: we have those sort of things happening. We and at

471
00:25:25,720 --> 00:25:28,840
Speaker 1: the same time, Trump has also been you know, parading

472
00:25:28,880 --> 00:25:32,080
Speaker 1: around these fucking empty promises that got him into office,

473
00:25:32,119 --> 00:25:34,160
Speaker 1: like he was going to rework all these bunk trade

474
00:25:34,200 --> 00:25:36,560
Speaker 1: deals with these companies, and that's what's going to get

475
00:25:36,600 --> 00:25:38,440
Speaker 1: the workers back on top, because we've got to have

476
00:25:38,480 --> 00:25:41,000
Speaker 1: America first, and these these you know, they're taking advantage

477
00:25:41,000 --> 00:25:44,840
Speaker 1: of us. It's unbelievable. And at the same time saying, oh,

478
00:25:45,000 --> 00:25:47,480
Speaker 1: let's cut taxes too, and that will make the middle

479
00:25:47,560 --> 00:25:50,560
Speaker 1: class even more solid and maybe revive the middle class.

480
00:25:50,600 --> 00:25:53,159
Speaker 1: But now we're seeing all that is just bullshit because

481
00:25:53,480 --> 00:25:56,359
Speaker 1: the tax cuts have only helped the wealthiest and the

482
00:25:56,440 --> 00:25:58,840
Speaker 1: whole like trickle down thing is not happening like you

483
00:25:58,880 --> 00:26:01,400
Speaker 1: know everyone said it would, obviously, because that happens every

484
00:26:01,520 --> 00:26:06,080
Speaker 1: fucking trickle down economics is the same. You know, sentiment

485
00:26:06,160 --> 00:26:10,040
Speaker 1: as pre come doesn't cause pregnancies. You can say it

486
00:26:10,119 --> 00:26:12,480
Speaker 1: with all the confidence you want, but my man, try

487
00:26:12,520 --> 00:26:15,080
Speaker 1: it out. You might not like. And people have been

488
00:26:15,160 --> 00:26:19,160
Speaker 1: saying it for years. Yeah, exactly, similar um, And again

489
00:26:19,240 --> 00:26:22,160
Speaker 1: with the trade wars, look at what's happening. We are

490
00:26:22,320 --> 00:26:24,760
Speaker 1: all of these tariffs are being passed onto the consumers,

491
00:26:24,760 --> 00:26:27,480
Speaker 1: so just ending up in like a lot of bad

492
00:26:27,960 --> 00:26:30,760
Speaker 1: indicators of how the economy is doing. And that's led

493
00:26:30,880 --> 00:26:35,400
Speaker 1: Trump to basically just saying, like I hate math. He's

494
00:26:35,400 --> 00:26:39,080
Speaker 1: basically saying like these are all conspiracies. He's he's ignoring

495
00:26:39,240 --> 00:26:41,159
Speaker 1: all of the people who are advising him. Well, some

496
00:26:41,280 --> 00:26:43,760
Speaker 1: people are agreeing with him, but trying to find a

497
00:26:43,880 --> 00:26:47,199
Speaker 1: scapegoat because everything he's doing is actually having a negative

498
00:26:47,320 --> 00:26:49,879
Speaker 1: or could potentially have a very negative impact on the

499
00:26:49,880 --> 00:26:52,280
Speaker 1: economy long term. He hates to be confronted with facts.

500
00:26:53,720 --> 00:26:57,040
Speaker 1: I'm just reading a Fear again. Uh not. I didn't

501
00:26:57,080 --> 00:26:59,560
Speaker 1: read it the first time, but we talked about it

502
00:26:59,640 --> 00:27:03,080
Speaker 1: like a year ago. But that's the book from Woodward

503
00:27:03,160 --> 00:27:07,000
Speaker 1: Bob Woodward, the first year of the Trump presidency, and

504
00:27:07,080 --> 00:27:09,440
Speaker 1: there's a scene in there where he's sitting down with

505
00:27:09,840 --> 00:27:12,680
Speaker 1: his economic advisor. I think we talked about the time,

506
00:27:12,760 --> 00:27:17,119
Speaker 1: but it bears repeating that he is. He basically is like, well,

507
00:27:17,119 --> 00:27:19,680
Speaker 1: why don't we just like print more money. We should

508
00:27:19,720 --> 00:27:21,640
Speaker 1: just print more money that that way will be richer,

509
00:27:21,960 --> 00:27:25,439
Speaker 1: And well, yeah, that's so that's his understanding of how

510
00:27:25,520 --> 00:27:27,200
Speaker 1: things work. When I was a kid in played monopoly

511
00:27:27,359 --> 00:27:29,800
Speaker 1: with Xerox the money and I would come back with

512
00:27:29,920 --> 00:27:32,000
Speaker 1: more and they'd be like, where'd you get it, predator?

513
00:27:32,080 --> 00:27:33,639
Speaker 1: Why can't we do that? Yeah? I mean it's I

514
00:27:33,680 --> 00:27:38,159
Speaker 1: mean again, someone with no actual, um functional knowledge of economics,

515
00:27:38,240 --> 00:27:40,440
Speaker 1: this is what you get. And this is what's This

516
00:27:40,600 --> 00:27:43,040
Speaker 1: is where you know we're getting into conspiracy town because

517
00:27:43,080 --> 00:27:44,960
Speaker 1: this is what he's been saying. Behind the scenes. Trump,

518
00:27:45,200 --> 00:27:47,160
Speaker 1: Mr Trump has been This is from the New York Times.

519
00:27:47,400 --> 00:27:49,960
Speaker 1: Mr Trump has been agitated and discussions of the economy

520
00:27:50,040 --> 00:27:52,119
Speaker 1: and by the news media's reporting of warnings of a

521
00:27:52,200 --> 00:27:55,080
Speaker 1: possible recession. He has said forces that do not want

522
00:27:55,160 --> 00:27:57,440
Speaker 1: him to win have been overstating the damage his trade

523
00:27:57,480 --> 00:27:59,760
Speaker 1: war has caused, according to people who have spoken with him,

524
00:27:59,840 --> 00:28:01,840
Speaker 1: and several aids agree with him, that the news media

525
00:28:01,920 --> 00:28:05,400
Speaker 1: is overplaying the fears. Um, adding that this is justifying

526
00:28:05,480 --> 00:28:08,560
Speaker 1: his feelings. So when you look around, everyone is kind

527
00:28:08,600 --> 00:28:11,760
Speaker 1: of parading around the same messaging like no, no, everything's chill.

528
00:28:12,320 --> 00:28:15,040
Speaker 1: It's actually a conspiracy against Trump because they don't want

529
00:28:15,119 --> 00:28:18,760
Speaker 1: him reelected. Um, first up, is Fox News really getting

530
00:28:18,800 --> 00:28:22,159
Speaker 1: on there? It's all a conspiracy against Trump. I'm watching

531
00:28:22,200 --> 00:28:24,240
Speaker 1: this and I'm like, it's so obvious what they're doing

532
00:28:24,440 --> 00:28:26,480
Speaker 1: there there. They do not want him to win again,

533
00:28:26,600 --> 00:28:28,479
Speaker 1: and they don't like that the economy is doing well.

534
00:28:28,520 --> 00:28:31,200
Speaker 1: Apparently the CEO of Bank of America put it the best,

535
00:28:31,400 --> 00:28:34,440
Speaker 1: Brian moynahanset the only the only fear of recession we

536
00:28:34,520 --> 00:28:36,720
Speaker 1: have is fair of recession. In other words, the only

537
00:28:36,760 --> 00:28:38,480
Speaker 1: thing that can happen in this country right now that

538
00:28:38,520 --> 00:28:41,480
Speaker 1: can deb rel this economic juggernaut is if everyone believes

539
00:28:41,520 --> 00:28:43,440
Speaker 1: it's going to be the reled. And I hate to

540
00:28:43,480 --> 00:28:46,040
Speaker 1: say it, but to degree, the media almost did that

541
00:28:46,080 --> 00:28:48,840
Speaker 1: in December, and I think some people do it deliberately. Listen,

542
00:28:49,280 --> 00:28:53,160
Speaker 1: there's no economic data out there that suggests we're going

543
00:28:53,360 --> 00:28:59,680
Speaker 1: on the cusp of very much. So what's he doing

544
00:28:59,720 --> 00:29:02,120
Speaker 1: finger quotes on data? I don't, you know, I don't

545
00:29:02,160 --> 00:29:04,880
Speaker 1: have the image, so like, so you know, this is

546
00:29:04,960 --> 00:29:07,440
Speaker 1: sort of the phase there and the idea that it's

547
00:29:07,520 --> 00:29:10,120
Speaker 1: like the only thing that will derailed economy is the

548
00:29:10,320 --> 00:29:12,560
Speaker 1: fear of the only fear is the only thing we

549
00:29:12,680 --> 00:29:16,280
Speaker 1: have to fear is fear itself recession. Yeah, that's amazing,

550
00:29:16,360 --> 00:29:18,440
Speaker 1: What a great what a great line that guy came

551
00:29:18,520 --> 00:29:20,880
Speaker 1: up with on his own. You get on a bus

552
00:29:20,960 --> 00:29:22,920
Speaker 1: and you're like, I think the driver's drunk. It's like

553
00:29:23,000 --> 00:29:26,640
Speaker 1: you're you're a hater. You're a hater and against him. Right,

554
00:29:27,040 --> 00:29:29,600
Speaker 1: The only thing you have to fear about the driver

555
00:29:29,760 --> 00:29:32,240
Speaker 1: being drunk is fear of the driver being drunk and

556
00:29:32,320 --> 00:29:36,480
Speaker 1: possibly driving the bus off and you're strapped the fucking Meanwhile,

557
00:29:37,240 --> 00:29:40,000
Speaker 1: recession fear is highest in eight years, according to a

558
00:29:40,160 --> 00:29:44,600
Speaker 1: Bank of America survey. Right, yeah, and then who boy

559
00:29:45,440 --> 00:29:48,880
Speaker 1: Larry Cudlow, who is the one of the White House

560
00:29:48,960 --> 00:29:54,920
Speaker 1: economic advisors. He so there's already run, there's already rumors

561
00:29:55,040 --> 00:29:58,080
Speaker 1: that he might leave the White House. But this performance

562
00:29:58,120 --> 00:30:01,240
Speaker 1: he gave on the Sunday Shows, to me is one

563
00:30:01,320 --> 00:30:05,320
Speaker 1: of the greatest displays of calm and stoicism in the

564
00:30:05,400 --> 00:30:09,480
Speaker 1: face of economic uncertainty. Um, I guess. First up, he

565
00:30:09,760 --> 00:30:13,840
Speaker 1: was asked about just by Chuck Todd. They're like, hey, man,

566
00:30:14,320 --> 00:30:16,080
Speaker 1: there's a lot of fear of a recession. Can I

567
00:30:16,160 --> 00:30:19,720
Speaker 1: get an answer from you. The private sector seems to

568
00:30:19,840 --> 00:30:24,640
Speaker 1: be concerned about, particularly the trade war with China, that

569
00:30:24,880 --> 00:30:29,720
Speaker 1: that there are some rough waters ahead, maybe a recession,

570
00:30:29,800 --> 00:30:34,200
Speaker 1: that those odds have risen. What do you see. Well,

571
00:30:34,240 --> 00:30:36,280
Speaker 1: I'll tell you what. I sure don't see a recession.

572
00:30:37,520 --> 00:30:43,040
Speaker 1: It's a blockbuster retail sales. Consumer numbers towards the back

573
00:30:43,160 --> 00:30:46,480
Speaker 1: end of last week, really blockbuster numbers. And in fact,

574
00:30:47,720 --> 00:30:50,600
Speaker 1: despite a lot of worries with the volatile stock market,

575
00:30:51,040 --> 00:30:54,880
Speaker 1: the most eponymous on Wall Street, let's just help him

576
00:30:54,920 --> 00:30:57,240
Speaker 1: out on that one. Did you say the Bonneville stock

577
00:30:57,320 --> 00:31:04,160
Speaker 1: Market a market? You know? He literally sounds like your

578
00:31:04,200 --> 00:31:09,120
Speaker 1: impression of a drunk guy. I don't what the fuck

579
00:31:09,320 --> 00:31:12,440
Speaker 1: are you? Larry, Just get back in the car. Sir

580
00:31:13,040 --> 00:31:17,640
Speaker 1: got a fucking worse he went on Fox. And then look,

581
00:31:17,680 --> 00:31:19,640
Speaker 1: if you were in any doubt of what his state is,

582
00:31:19,800 --> 00:31:21,520
Speaker 1: to listen to this next clip and you tell me

583
00:31:21,560 --> 00:31:23,560
Speaker 1: if this is somebody who's cool, calm and collected, has

584
00:31:23,640 --> 00:31:27,840
Speaker 1: nothing to worry about. Favorite China. China is paying for

585
00:31:27,960 --> 00:31:31,000
Speaker 1: these tarifts by a ratio of about four to one.

586
00:31:31,640 --> 00:31:33,960
Speaker 1: That's what we expected to happen. I've enjoyed having you.

587
00:31:34,200 --> 00:31:36,880
Speaker 1: I have one last question. If you get asked to

588
00:31:36,920 --> 00:31:40,360
Speaker 1: go to a site survey about purchasing Greenland, can I

589
00:31:40,440 --> 00:31:46,200
Speaker 1: go with you? Well, maybe i'll We're on the Essential Bank. Look,

590
00:31:46,560 --> 00:31:50,400
Speaker 1: it's an interesting story just developing. We're looking at it.

591
00:31:50,560 --> 00:31:55,200
Speaker 1: We don't know. Years ago Harry Truman wanted to buy Greenland.

592
00:31:55,320 --> 00:31:59,840
Speaker 1: Denmark own screen Land. Denmark is an ally. Greenland is

593
00:32:00,080 --> 00:32:04,240
Speaker 1: a strategic place up there, and uh, they got a

594
00:32:04,320 --> 00:32:07,640
Speaker 1: lot of valuable minerals. I don't want to predict an outcome.

595
00:32:07,720 --> 00:32:10,640
Speaker 1: I'm just saying, the president who knows the thing or

596
00:32:10,720 --> 00:32:15,160
Speaker 1: two about buying real estate, watch to take a look.

597
00:32:15,480 --> 00:32:17,440
Speaker 1: And all I'm saying is that if you get asked,

598
00:32:17,520 --> 00:32:18,880
Speaker 1: all I'm saying is that, if you get asked to

599
00:32:18,920 --> 00:32:21,640
Speaker 1: go and do a site survey, I'd love to accompany

600
00:32:21,680 --> 00:32:23,560
Speaker 1: you on the trip and do an interview out there.

601
00:32:23,880 --> 00:32:27,320
Speaker 1: Larry Cudlow, thank you for joining us. I could make

602
00:32:27,400 --> 00:32:32,200
Speaker 1: that happen to kiss you, just because I don't careacter

603
00:32:32,480 --> 00:32:35,400
Speaker 1: they don't care about the team struggling. I don't care

604
00:32:35,440 --> 00:32:40,960
Speaker 1: about the economy struggling. Kiss you. I mean, Wow. I

605
00:32:41,120 --> 00:32:43,400
Speaker 1: work on the show Drunk History, and every story teller

606
00:32:43,440 --> 00:32:48,520
Speaker 1: we've ever had has been more lucid inarticulate that, Yeah,

607
00:32:48,600 --> 00:32:51,720
Speaker 1: it's very drunk History. I mean, there's something that I

608
00:32:51,760 --> 00:32:53,960
Speaker 1: don't know why that was so chilling to me, but

609
00:32:54,240 --> 00:32:56,480
Speaker 1: it's just funny when the guy who is supposed to

610
00:32:56,520 --> 00:32:58,080
Speaker 1: go out there and do all the lives has to

611
00:32:58,160 --> 00:33:04,160
Speaker 1: be like he is screen so she's she's a position,

612
00:33:04,360 --> 00:33:12,640
Speaker 1: and Denmark, it's either like he got drunk just to

613
00:33:13,120 --> 00:33:15,920
Speaker 1: get up the nerve or he feels like if he

614
00:33:16,000 --> 00:33:18,960
Speaker 1: slurs every word, he won't really be caught right that

615
00:33:19,080 --> 00:33:23,360
Speaker 1: you work for Rudy, Right, So yeah, but Rudy never

616
00:33:23,640 --> 00:33:28,040
Speaker 1: sounded on a word to word basis. He seemed yeah,

617
00:33:28,120 --> 00:33:30,440
Speaker 1: he would go in and out, and just his overall

618
00:33:30,600 --> 00:33:35,320
Speaker 1: message seemed like, oh, you're probably funked up. And also

619
00:33:35,400 --> 00:33:37,680
Speaker 1: the fact that people would see him at bars in

620
00:33:37,760 --> 00:33:41,720
Speaker 1: between Sunday Show appearance getting drunk about to go on there.

621
00:33:42,480 --> 00:33:49,280
Speaker 1: You bet you that's true though sc Screenlanch. Yeah, but

622
00:33:49,400 --> 00:33:51,800
Speaker 1: we do have an expert on listening to people try

623
00:33:51,880 --> 00:33:54,800
Speaker 1: to keep their ship together well drunk, and they're saying,

624
00:33:55,120 --> 00:33:57,880
Speaker 1: Craig that this dude is not He's the worst I've

625
00:33:57,920 --> 00:34:03,800
Speaker 1: ever heard Derek. Derek Water is like, I don't know

626
00:34:03,840 --> 00:34:06,520
Speaker 1: about this one, Dude, I don't know this one. Yeah,

627
00:34:06,560 --> 00:34:13,200
Speaker 1: Derek would reject everything Trump. You know what I'm saying,

628
00:34:13,360 --> 00:34:19,439
Speaker 1: Real State Wait say yeah, but yeah, it's it's either

629
00:34:19,520 --> 00:34:22,320
Speaker 1: that or like he's about to leave and he's like,

630
00:34:22,440 --> 00:34:24,880
Speaker 1: I fucking can't stand this anymore. Like I'm just going

631
00:34:24,960 --> 00:34:27,440
Speaker 1: to be the bad employee who's showing up drunk to

632
00:34:27,520 --> 00:34:30,960
Speaker 1: practice or practice if you're an employee, or drunk to work. Uh.

633
00:34:31,480 --> 00:34:33,839
Speaker 1: Either way, it sounds like Larry is having a fine time,

634
00:34:33,880 --> 00:34:35,840
Speaker 1: and I wonder if other people who he deals with,

635
00:34:35,920 --> 00:34:38,239
Speaker 1: like in the world of economics, Like, dude, he can't

636
00:34:38,239 --> 00:34:40,920
Speaker 1: be fucking serious about this, right, Like, you know you

637
00:34:41,000 --> 00:34:43,480
Speaker 1: can't be serious. I don't understand how Tariff's work, but

638
00:34:43,600 --> 00:34:47,399
Speaker 1: he definitely doesn't understand. He really should. Yeah, we say

639
00:34:47,640 --> 00:34:56,160
Speaker 1: China though everyone's paying for it. Right, Yikes. Again, everything

640
00:34:56,320 --> 00:34:58,480
Speaker 1: is very fine. It also sounded like he may have

641
00:34:58,560 --> 00:35:02,560
Speaker 1: invested in Blockbuster stock. Yeah. Right, and it's just now

642
00:35:02,680 --> 00:35:05,279
Speaker 1: realizing what happened. She's like, I didn't really check on that.

643
00:35:06,080 --> 00:35:09,799
Speaker 1: I put it around three or four in two thousand one.

644
00:35:10,200 --> 00:35:13,960
Speaker 1: They're gonna put DVD's in the mail and everything's from there.

645
00:35:15,080 --> 00:35:19,359
Speaker 1: I'm all in on HD d v D. I don't

646
00:35:19,360 --> 00:35:22,759
Speaker 1: care where the porn industry is going. Uh, let's talk

647
00:35:23,040 --> 00:35:25,640
Speaker 1: about Joe Biden's campaign real quick. When to do a

648
00:35:25,760 --> 00:35:28,320
Speaker 1: check in. There's more and more news out there that

649
00:35:29,000 --> 00:35:32,000
Speaker 1: Elizabeth Warren has caught up to him. Have you noticed

650
00:35:32,080 --> 00:35:35,200
Speaker 1: people saying Liz Warren more recently? I like, I almost

651
00:35:35,239 --> 00:35:37,520
Speaker 1: wanted to say that because I've heard it on the

652
00:35:37,640 --> 00:35:40,680
Speaker 1: news and like in podcast a lot, I'm lizar with Yeah,

653
00:35:40,719 --> 00:35:44,400
Speaker 1: I'm not either, but suddenly people are getting real familiar.

654
00:35:44,400 --> 00:35:48,480
Speaker 1: I was gonna start like being Lizzie. Yeah, well Lizzie Warren,

655
00:35:48,600 --> 00:35:51,279
Speaker 1: see what you have to understand about her. It was

656
00:35:51,280 --> 00:35:54,279
Speaker 1: like a subtle way to underminer, right, maybe undermine maybe

657
00:35:54,400 --> 00:35:57,480
Speaker 1: humanized or they're people who actually know her and just

658
00:35:57,560 --> 00:35:59,120
Speaker 1: doing that thing where it's like, yeah, you know, the

659
00:35:59,200 --> 00:36:05,359
Speaker 1: other day I was Boberg Stevie boy and I'm sorry

660
00:36:05,360 --> 00:36:07,480
Speaker 1: you guys called Stephen, but yeah, it could be. Yeah,

661
00:36:07,520 --> 00:36:10,040
Speaker 1: I mean, look, it's tightening up the race a little bit. Yeah,

662
00:36:10,080 --> 00:36:13,400
Speaker 1: it's tightening up. And apparent there's a New York Times

663
00:36:13,600 --> 00:36:17,360
Speaker 1: story talking about sort of what's going on behind the

664
00:36:17,440 --> 00:36:22,520
Speaker 1: scenes between Obama and Biden, because I mean, I think

665
00:36:22,640 --> 00:36:26,080
Speaker 1: people just from the outside are like an Obama endorsement

666
00:36:26,120 --> 00:36:30,239
Speaker 1: would really help read about now his claim to be

667
00:36:30,520 --> 00:36:34,320
Speaker 1: the guy who you know would win this thing is

668
00:36:34,400 --> 00:36:38,879
Speaker 1: falling apart. There's less and less there. And apparently they've

669
00:36:38,960 --> 00:36:42,759
Speaker 1: had a meeting. They've had a few discussions. Apparently the

670
00:36:42,840 --> 00:36:45,360
Speaker 1: first time was in two sixteen when he was like,

671
00:36:45,520 --> 00:36:49,080
Speaker 1: you don't don't like Hillary needs to run not and

672
00:36:49,600 --> 00:36:51,720
Speaker 1: he's like, that's the person who he thought would continue

673
00:36:51,760 --> 00:36:56,040
Speaker 1: his legacy. Um, and you know, is the same thing.

674
00:36:56,200 --> 00:36:58,480
Speaker 1: But this sort of little snippet is ranging. The two

675
00:36:58,560 --> 00:37:00,759
Speaker 1: men spoke at least a half dozen times before Mr

676
00:37:00,840 --> 00:37:03,239
Speaker 1: Biden decided to run, and Mr Obama took pains to

677
00:37:03,280 --> 00:37:06,240
Speaker 1: cast his doubts about the campaign in personal terms. Quote,

678
00:37:06,560 --> 00:37:08,879
Speaker 1: you don't have to do this, Joe, you really don't,

679
00:37:09,239 --> 00:37:13,000
Speaker 1: Mr Obama told Mr Biden earlier this year. Mr Biden, um,

680
00:37:13,239 --> 00:37:15,560
Speaker 1: who thinks he could have defeated Donald Trump four years ago,

681
00:37:15,560 --> 00:37:18,200
Speaker 1: responded by telling Mr Obama he could never forgive himself

682
00:37:18,239 --> 00:37:21,919
Speaker 1: if he turned down a second shot at Trump. He's

683
00:37:21,960 --> 00:37:25,120
Speaker 1: just a punch drunk fighter. I got it, I got it,

684
00:37:25,120 --> 00:37:28,239
Speaker 1: I got it, I got it. Barry, you can't even

685
00:37:28,440 --> 00:37:30,240
Speaker 1: you don't even know where you are. Just your uncle

686
00:37:30,480 --> 00:37:32,600
Speaker 1: like getting drunk. It's you know, the far end of

687
00:37:32,640 --> 00:37:34,600
Speaker 1: the bar who's like waiting for that guy he got

688
00:37:34,640 --> 00:37:43,160
Speaker 1: a grudge with twenty years ago. Again, it's like wow, wow, Joe. Um. Yeah.

689
00:37:43,239 --> 00:37:46,759
Speaker 1: And then even then, like once he did decide to run,

690
00:37:47,000 --> 00:37:50,560
Speaker 1: Obama like summoned his advisors to his own office to

691
00:37:50,640 --> 00:37:52,879
Speaker 1: talk to them, and said In March, Mr Obama took

692
00:37:52,880 --> 00:37:55,840
Speaker 1: the unusual step of summoning Mr Biden's top campaign advisors,

693
00:37:55,880 --> 00:37:58,160
Speaker 1: including former White House Coms Director and he'd have done.

694
00:37:58,480 --> 00:38:01,640
Speaker 1: And Biden's longtime spokes when Kate Beddingfield to his DC

695
00:38:01,840 --> 00:38:05,319
Speaker 1: office for briefing on their digital communication strategy. When they

696
00:38:05,360 --> 00:38:09,160
Speaker 1: were done, Mr Obama offered a pointed reminder, win or lose,

697
00:38:09,320 --> 00:38:11,960
Speaker 1: they needed to make sure Mr Biden did not quote

698
00:38:12,040 --> 00:38:16,360
Speaker 1: embarrass himself or damage his legacy and quote during the campaign,

699
00:38:16,560 --> 00:38:21,880
Speaker 1: whoa ringing endorsement? Yeah, that's a fucking friend. Though he's like,

700
00:38:22,080 --> 00:38:24,480
Speaker 1: I tried talking to him. Here's the deal, guys, if

701
00:38:24,520 --> 00:38:28,360
Speaker 1: he's gonna do it, don't let him piss everything away.

702
00:38:30,760 --> 00:38:35,920
Speaker 1: That's that's rough man. Yeah, and it totally undermines the

703
00:38:36,080 --> 00:38:40,000
Speaker 1: idea that Biden is trying to communicate that like he's

704
00:38:40,840 --> 00:38:43,440
Speaker 1: like he had Obama's like back, and they were like,

705
00:38:43,960 --> 00:38:47,120
Speaker 1: you know, just yeah, there's Gibson Danning glovering this ship

706
00:38:47,239 --> 00:38:50,239
Speaker 1: the whole time. And you know, there were more instances

707
00:38:50,280 --> 00:38:52,200
Speaker 1: in that article we're talking about, like when he would

708
00:38:52,360 --> 00:38:55,160
Speaker 1: he oddly took sides with Mitch McConnell over Obama, like

709
00:38:56,680 --> 00:38:59,680
Speaker 1: and just like there was this thing that Biden always

710
00:38:59,760 --> 00:39:03,000
Speaker 1: had this ambition for higher office that like would creep

711
00:39:03,080 --> 00:39:05,759
Speaker 1: into their interactions at times. And I think now that

712
00:39:05,920 --> 00:39:09,600
Speaker 1: he's free of the vice president label. He can you know,

713
00:39:10,080 --> 00:39:11,759
Speaker 1: put out his own album. Well see how that goes.

714
00:39:12,719 --> 00:39:15,600
Speaker 1: But a lot of this stuff is like people are

715
00:39:15,600 --> 00:39:17,640
Speaker 1: acting like, wow, he's not as sharp as he was

716
00:39:18,200 --> 00:39:21,680
Speaker 1: in two thousand sixteen or you know, even two thousand

717
00:39:21,719 --> 00:39:24,279
Speaker 1: and twelve, two thousand and eight. But like these are

718
00:39:24,320 --> 00:39:26,840
Speaker 1: the things that undid his campaigns the last time he

719
00:39:26,960 --> 00:39:31,000
Speaker 1: ran for president, right, is like he's gaff full. Yeah, uh,

720
00:39:31,320 --> 00:39:35,120
Speaker 1: he's gaffable, and he he lied about being involved in

721
00:39:35,320 --> 00:39:38,440
Speaker 1: the civil rights movement. Is there's weird things that happened,

722
00:39:38,880 --> 00:39:42,320
Speaker 1: plagiarized people, and so it's just like it seems like

723
00:39:42,560 --> 00:39:48,120
Speaker 1: he has higher expectations for himself than are reasonable. Look,

724
00:39:48,239 --> 00:39:50,759
Speaker 1: I think he wants for the wrong reasons, but I

725
00:39:50,840 --> 00:39:52,879
Speaker 1: think just having him around for the debates and everything

726
00:39:52,960 --> 00:39:55,960
Speaker 1: kind of bolsters everybody else's credibility. Like they all look

727
00:39:56,040 --> 00:39:59,799
Speaker 1: better on the former vice pres Is this your king?

728
00:40:01,600 --> 00:40:03,920
Speaker 1: He's an easy punching bag and they can score points

729
00:40:03,960 --> 00:40:06,080
Speaker 1: easily at every debate. So and then yeah, and then

730
00:40:06,120 --> 00:40:09,560
Speaker 1: he'll sort of be like just go to Joe three

731
00:40:09,640 --> 00:40:15,080
Speaker 1: oh three, oh please what I'm what? All right, We're

732
00:40:15,080 --> 00:40:18,399
Speaker 1: gonna take another quick break and then we'll be back,

733
00:40:28,760 --> 00:40:34,439
Speaker 1: and we're back, and so wait, Watchers is still a thing.

734
00:40:35,080 --> 00:40:41,720
Speaker 1: Uh And although they have rebranded themselves w w oh great, yeah,

735
00:40:42,320 --> 00:40:47,720
Speaker 1: because that's not confusing to anyone, double us yeah, double dubs.

736
00:40:48,800 --> 00:40:51,920
Speaker 1: But they last week launched a new app called Curbo

737
00:40:52,880 --> 00:40:57,799
Speaker 1: k you r b oh like Turbo with a k oh. Dude,

738
00:40:57,840 --> 00:40:59,560
Speaker 1: I don't even know why that's so funny to me.

739
00:40:59,680 --> 00:41:03,480
Speaker 1: That's the worst fucking name. That's like your nickname for

740
00:41:03,480 --> 00:41:09,520
Speaker 1: a dude named Kirby. Yeah, Curbo, yeah, Curbo the puck Meister.

741
00:41:10,600 --> 00:41:14,399
Speaker 1: It is a weight loss app for children as young

742
00:41:14,600 --> 00:41:18,120
Speaker 1: as eight years old. I'm sorry to be used by children, yes,

743
00:41:18,239 --> 00:41:23,080
Speaker 1: to be used by children? Are children? Just everything about

744
00:41:23,200 --> 00:41:25,440
Speaker 1: this is depressing. So it starts out like at the

745
00:41:25,680 --> 00:41:30,520
Speaker 1: very inception as kind of having the gloss of science,

746
00:41:30,640 --> 00:41:35,280
Speaker 1: because it was a app that was developed by Stanford

747
00:41:35,360 --> 00:41:41,800
Speaker 1: University's Pediatric Obesity Program, which sounds scientific and professional, and

748
00:41:41,880 --> 00:41:46,480
Speaker 1: there is an obesity problem in America and presumably in

749
00:41:46,560 --> 00:41:51,160
Speaker 1: America's children. But from there it just gets really weird

750
00:41:51,480 --> 00:41:54,680
Speaker 1: with like some of that involves like they ask why

751
00:41:54,760 --> 00:41:58,320
Speaker 1: you're doing this, and like your goals can be to

752
00:41:58,440 --> 00:42:02,640
Speaker 1: lose weight, to please my parents. And the website features

753
00:42:02,719 --> 00:42:05,839
Speaker 1: before and after photos of once chubby kids who are

754
00:42:05,960 --> 00:42:10,280
Speaker 1: now thin, and that's in quotes. The page also includes

755
00:42:10,360 --> 00:42:14,520
Speaker 1: the fine print results are not typical, and yeah, it

756
00:42:14,680 --> 00:42:17,440
Speaker 1: just all kind of points the idea that thinness is

757
00:42:17,520 --> 00:42:21,560
Speaker 1: the ideal standard. It's designed to promote not like health,

758
00:42:22,200 --> 00:42:25,960
Speaker 1: but like because you weigh in by like tracking your

759
00:42:26,040 --> 00:42:30,040
Speaker 1: measurement and like setting goals. There are things where it's

760
00:42:30,040 --> 00:42:33,400
Speaker 1: like it groups foods into red groups, yellow groups, and green,

761
00:42:33,520 --> 00:42:36,719
Speaker 1: and it's like try to eat more green less red. Uh,

762
00:42:37,160 --> 00:42:40,279
Speaker 1: And you know that could be a useful thing to

763
00:42:40,800 --> 00:42:46,040
Speaker 1: like get promote kids eating healthily, but it's it just

764
00:42:46,600 --> 00:42:49,840
Speaker 1: has all these other places where it's sort of gamifies,

765
00:42:50,040 --> 00:42:53,120
Speaker 1: like weight loss right and visualizing. It's like you're this,

766
00:42:53,560 --> 00:42:55,360
Speaker 1: but you want to be this, which is why you

767
00:42:55,440 --> 00:42:58,160
Speaker 1: need curb. Oh and as if you know kids aren't

768
00:42:58,160 --> 00:43:02,480
Speaker 1: already getting like bombarded even or with like unrealistic ideas

769
00:43:02,480 --> 00:43:05,600
Speaker 1: of how your life or body should look. It's like, yeah, hahihi,

770
00:43:05,960 --> 00:43:07,759
Speaker 1: we want to fucking make you. Do you want to

771
00:43:07,880 --> 00:43:11,880
Speaker 1: mainline some body dysmorphic disorder into your fucking veins at

772
00:43:11,920 --> 00:43:15,359
Speaker 1: eight years old? Yeah? So the National Eating Disorder Association

773
00:43:15,840 --> 00:43:20,160
Speaker 1: said that this poses some grave risks because it is

774
00:43:20,640 --> 00:43:25,359
Speaker 1: like giving children advice with no in person monitoring by

775
00:43:25,560 --> 00:43:30,000
Speaker 1: medical professionals. So too kind of illustrate how this could

776
00:43:30,120 --> 00:43:36,480
Speaker 1: go wrong. A dietitian went in and basically made a

777
00:43:36,560 --> 00:43:40,640
Speaker 1: profile that was somebody with an eating disorder, Uh, like

778
00:43:40,719 --> 00:43:43,160
Speaker 1: a fake kid. Yeah, So created a fake profile for

779
00:43:43,239 --> 00:43:45,080
Speaker 1: a fourteen year old with a weight that would be

780
00:43:45,200 --> 00:43:49,680
Speaker 1: low for her height. Her diet consisted only of mustard, celery,

781
00:43:49,760 --> 00:43:53,759
Speaker 1: and water, and she recorded hours of treadmill exercise. The

782
00:43:53,840 --> 00:43:57,800
Speaker 1: app then told her how well she was doing, which,

783
00:43:58,360 --> 00:44:00,360
Speaker 1: so even when you put like would you eat today mustard,

784
00:44:00,440 --> 00:44:04,080
Speaker 1: celery and water, They're like, great, good job, keep going. Yeah,

785
00:44:04,160 --> 00:44:07,440
Speaker 1: you're still fucked up looking, Yeah, and you're clearly in

786
00:44:07,520 --> 00:44:11,439
Speaker 1: Los Angeles, right right, Yeah, you're only eating mustard and celery. Yeah.

787
00:44:11,560 --> 00:44:14,520
Speaker 1: Is that a real diet? I think. I think it's

788
00:44:14,560 --> 00:44:18,360
Speaker 1: one of those things that probably like eating disorder, like

789
00:44:19,400 --> 00:44:21,680
Speaker 1: water and just a little bit of just a way

790
00:44:21,719 --> 00:44:25,359
Speaker 1: to trick yourself into like your body into thinking you're

791
00:44:25,400 --> 00:44:28,799
Speaker 1: feeding it sustenance and while not feeding itself is weight.

792
00:44:28,920 --> 00:44:32,280
Speaker 1: But weight watchers take is sort of like, hey, kids,

793
00:44:33,080 --> 00:44:35,160
Speaker 1: you want to get your own health into your like

794
00:44:35,280 --> 00:44:38,120
Speaker 1: bring a control back into your hands with this app. Right,

795
00:44:38,400 --> 00:44:41,880
Speaker 1: And I'm sure there are instances in which it is useful,

796
00:44:42,280 --> 00:44:45,600
Speaker 1: but it is like they're just putting it out there.

797
00:44:45,760 --> 00:44:49,200
Speaker 1: It's not a thing where you're getting medical attention on

798
00:44:49,280 --> 00:44:51,920
Speaker 1: a person to person basis to judge if this is

799
00:44:52,000 --> 00:44:55,319
Speaker 1: going to be useful in that instance, like if if

800
00:44:55,400 --> 00:44:58,120
Speaker 1: you're being monitored, if you're using it in association with

801
00:44:58,239 --> 00:45:01,760
Speaker 1: like a doctor kind of working with you and your family,

802
00:45:02,360 --> 00:45:05,560
Speaker 1: maybe that would work. But because it's being like you know,

803
00:45:05,840 --> 00:45:09,360
Speaker 1: treated like a an app that they're trying to like

804
00:45:09,760 --> 00:45:12,880
Speaker 1: make a profit off of, it just is going to

805
00:45:13,000 --> 00:45:15,480
Speaker 1: go wrong no matter what. Right. So, like a more

806
00:45:15,560 --> 00:45:19,120
Speaker 1: cynical thing is like that this is the last dying

807
00:45:19,320 --> 00:45:22,360
Speaker 1: gasp of weight Watchers to try and like insert themselves

808
00:45:22,440 --> 00:45:24,239
Speaker 1: and being like this is how you'll get control of

809
00:45:24,280 --> 00:45:26,359
Speaker 1: your weight versus like the Internet where you can find

810
00:45:27,040 --> 00:45:29,680
Speaker 1: every fucking diet under the sun that people are into now,

811
00:45:30,600 --> 00:45:32,920
Speaker 1: And doesn't you don't have to pay like a membership

812
00:45:33,000 --> 00:45:36,200
Speaker 1: for that information. Yeah, And just last year, weight Watchers

813
00:45:37,120 --> 00:45:40,520
Speaker 1: sparked a similar controversy when they announced a new program

814
00:45:40,640 --> 00:45:44,640
Speaker 1: to provide free membership for teens between thirteen and seventeen,

815
00:45:45,160 --> 00:45:48,760
Speaker 1: which is using the the first one's free drug dealer

816
00:45:48,880 --> 00:45:52,919
Speaker 1: thing that you know drug dealers supposedly use against kids

817
00:45:52,960 --> 00:45:55,359
Speaker 1: in high school. Right. I just like that they're saying,

818
00:45:55,400 --> 00:45:58,000
Speaker 1: it's it's what we're all about, healthy habits, not a diet. Right.

819
00:45:58,360 --> 00:46:01,000
Speaker 1: The idea before and after photos kids is really depressing

820
00:46:01,719 --> 00:46:05,839
Speaker 1: because you're a kid, you're growing. There's nothing but after photos. Yeah,

821
00:46:05,960 --> 00:46:08,160
Speaker 1: like this one. There's two of like this one kid.

822
00:46:08,239 --> 00:46:10,920
Speaker 1: It looks like the difference between when you're eight and ten, right,

823
00:46:11,000 --> 00:46:12,760
Speaker 1: It's like, yeah, you might look a little bit different

824
00:46:12,840 --> 00:46:17,279
Speaker 1: when you start entering puberty, right, Yeah, but this is him. Hey,

825
00:46:17,440 --> 00:46:21,200
Speaker 1: pretty happiness after three months of Curbo. Yeah, and clearly

826
00:46:21,200 --> 00:46:22,839
Speaker 1: we've run out of app names. There were no longer

827
00:46:22,880 --> 00:46:26,680
Speaker 1: any good appens yeah Curbo. Yeah, the kids are going

828
00:46:26,719 --> 00:46:29,919
Speaker 1: to love that. Yeah, only only pharmaceutical names are worth.

829
00:46:30,040 --> 00:46:33,120
Speaker 1: Sounds like a video game in a like eighties movie

830
00:46:33,480 --> 00:46:36,600
Speaker 1: where like just figuring out what video games are, but

831
00:46:36,800 --> 00:46:40,719
Speaker 1: you can't beat my high score on Curbo. Well that's

832
00:46:40,760 --> 00:46:42,839
Speaker 1: the movie where that kid gets zapped into Curbo right

833
00:46:42,960 --> 00:46:45,680
Speaker 1: right in that world to fight his way out of Herbia.

834
00:46:46,719 --> 00:46:50,319
Speaker 1: Let's talk about masal Day. Yeah we missed it. Yeah,

835
00:46:50,400 --> 00:46:52,719
Speaker 1: we did when we were in Orlando, but it was

836
00:46:53,360 --> 00:46:55,800
Speaker 1: I remember seeing it and being like, what the fuck

837
00:46:56,000 --> 00:46:59,480
Speaker 1: is this? The city was a light. It was wonderful.

838
00:46:59,600 --> 00:47:02,800
Speaker 1: We also celebrated. Yeah, for people who don't know, l

839
00:47:02,880 --> 00:47:05,040
Speaker 1: A was turned into a bit of a zoo last

840
00:47:05,080 --> 00:47:08,040
Speaker 1: Thursday on the fifteenth because, like you know, Amazon was

841
00:47:08,080 --> 00:47:11,960
Speaker 1: celebrating their twenty Emmy nominations. Shout out to Noa Garden Sorts,

842
00:47:12,600 --> 00:47:15,600
Speaker 1: frequent Guests and right on that show, um, and they

843
00:47:15,719 --> 00:47:18,040
Speaker 1: basically were like, hey, dude, we're killing it with the

844
00:47:18,080 --> 00:47:21,239
Speaker 1: Emmy nominations. Let's make a bunch of a bunch of

845
00:47:21,320 --> 00:47:24,360
Speaker 1: stores and services. Let's take it back to nineteen fifty

846
00:47:24,440 --> 00:47:26,719
Speaker 1: nine and give you prices from nineteen fifty nine at

847
00:47:26,760 --> 00:47:31,200
Speaker 1: these businesses. And the biggest one was this gas station

848
00:47:31,440 --> 00:47:35,800
Speaker 1: in Santa Monica, which basically was offering thirty cent a

849
00:47:35,920 --> 00:47:41,000
Speaker 1: gallon gas um and it fucking caused so much traffic.

850
00:47:41,080 --> 00:47:43,279
Speaker 1: The cops are like, they didn't understand what's going on

851
00:47:43,320 --> 00:47:46,560
Speaker 1: because there's this bottleneck. By the ten Yeah, man took

852
00:47:46,640 --> 00:47:49,759
Speaker 1: the turn down some Monica party sound like anyway, Um,

853
00:47:50,080 --> 00:47:52,239
Speaker 1: the cops had to get there and just basically shut

854
00:47:52,360 --> 00:47:54,239
Speaker 1: the fucking thing down. They're like, no, this is you're

855
00:47:54,360 --> 00:47:57,080
Speaker 1: you're fucking up the entire flow of traffic, which is

856
00:47:57,160 --> 00:47:59,359
Speaker 1: kind of like this sad thing where on one hand,

857
00:47:59,680 --> 00:48:03,000
Speaker 1: that's like, you see just how entrenched this city is

858
00:48:03,200 --> 00:48:05,680
Speaker 1: in the show biz machine that they can be like, Hi,

859
00:48:06,080 --> 00:48:09,280
Speaker 1: the city will be an ad today, and then also

860
00:48:09,440 --> 00:48:12,759
Speaker 1: like the terrible disparity between haves and have nots in

861
00:48:12,800 --> 00:48:14,440
Speaker 1: this city where you have people being like ha ha,

862
00:48:14,680 --> 00:48:16,560
Speaker 1: thirty cent to gallon gas and other people like what

863
00:48:17,200 --> 00:48:19,279
Speaker 1: thirty cent to thirty cent to gallon gas? But I

864
00:48:19,360 --> 00:48:23,279
Speaker 1: will go there right now. Yeah, And it was I mean,

865
00:48:23,800 --> 00:48:26,279
Speaker 1: you know, they had things like a scoop of ice

866
00:48:26,320 --> 00:48:29,360
Speaker 1: cream for eighty cents from Hagandas or a fucking a

867
00:48:29,440 --> 00:48:32,520
Speaker 1: cupcake for for a quarter, but yeah, it seemed like

868
00:48:32,600 --> 00:48:36,120
Speaker 1: this gas station thing was the biggest disturbance. And also

869
00:48:36,239 --> 00:48:38,800
Speaker 1: like just the power that fucking Amazon has to wield

870
00:48:38,840 --> 00:48:40,719
Speaker 1: where they're like, yeah, we'll eat all that all the

871
00:48:40,800 --> 00:48:42,800
Speaker 1: losses on this promo and pay for it, you know,

872
00:48:42,880 --> 00:48:45,120
Speaker 1: subsidize it. This is a bit of a humble bregg

873
00:48:45,200 --> 00:48:49,120
Speaker 1: but I am an Emmy voter, uh huh. And Amazon

874
00:48:49,280 --> 00:48:52,200
Speaker 1: is fucking relentless with the DVDs. And there are streaming

875
00:48:52,280 --> 00:48:56,240
Speaker 1: service you know, like during the whole like nomination process,

876
00:48:56,520 --> 00:48:59,360
Speaker 1: it was Amazon, Hulu and Netflix sent out more DVDs

877
00:48:59,360 --> 00:49:03,640
Speaker 1: than anyone. I was throwing out countless dv for something

878
00:49:03,719 --> 00:49:06,400
Speaker 1: that I'm already streaming for Freeze. It's funny. What they

879
00:49:06,480 --> 00:49:08,400
Speaker 1: should do is just give you, if they're gonna be

880
00:49:08,840 --> 00:49:10,920
Speaker 1: sort of slick about it, just give you a fucking

881
00:49:11,120 --> 00:49:14,760
Speaker 1: temporary pass to stream it. Yeah, send out a code.

882
00:49:14,840 --> 00:49:17,480
Speaker 1: But then some networks that Yeah. But and like in

883
00:49:17,560 --> 00:49:19,600
Speaker 1: the h f p A like for the Golden Globes,

884
00:49:19,680 --> 00:49:22,799
Speaker 1: those members are a little bit elderly. So DVD has

885
00:49:22,880 --> 00:49:26,960
Speaker 1: help because they're like the code. It's like, here's a DVD.

886
00:49:27,040 --> 00:49:29,080
Speaker 1: You remember how to use that, right? But yeah, it does.

887
00:49:29,160 --> 00:49:32,160
Speaker 1: It does seem odd for something like as ubiquitous is

888
00:49:32,200 --> 00:49:35,040
Speaker 1: like Amazon or Netflix. I know it helps. Larry could

889
00:49:35,080 --> 00:49:39,480
Speaker 1: love is Blockbuster stock. But yeah, I feel like some

890
00:49:39,600 --> 00:49:43,800
Speaker 1: cool packaging can help sometimes I don't know or like,

891
00:49:43,960 --> 00:49:46,960
Speaker 1: I like getting a cool package in the Man Personal,

892
00:49:47,120 --> 00:49:50,400
Speaker 1: the packaging is very impressive, sound like a child from

893
00:49:50,440 --> 00:49:57,279
Speaker 1: the sixties from the Postman. I just I wait by

894
00:49:57,360 --> 00:49:59,880
Speaker 1: my front door for the postman to arrive. I remember

895
00:50:00,120 --> 00:50:03,400
Speaker 1: that era though, of like like commerce, when like you

896
00:50:03,800 --> 00:50:06,120
Speaker 1: ordered something out of a magazine or over the phone

897
00:50:06,200 --> 00:50:08,759
Speaker 1: and you're like the next week, you're like fucking could

898
00:50:08,800 --> 00:50:10,960
Speaker 1: not wait to get home just for your parents. You're like,

899
00:50:11,120 --> 00:50:15,800
Speaker 1: it's not gonna fucking come the next day, idiot, Like today, No,

900
00:50:16,880 --> 00:50:20,440
Speaker 1: it's just night now. Yeah. Anyway, I'm voting for Fleaback.

901
00:50:20,440 --> 00:50:23,080
Speaker 1: I don't need you go there you go? Aren't they

902
00:50:23,080 --> 00:50:32,000
Speaker 1: also Amazon? Yeah? Wait a minute, yeah, Amazon owns everything. Ye.

903
00:50:32,360 --> 00:50:34,680
Speaker 1: I mean I can just hear the meeting where this

904
00:50:34,800 --> 00:50:37,040
Speaker 1: is pitched. They'll be like the brands are, We'll be

905
00:50:37,200 --> 00:50:41,000
Speaker 1: lining up for this man, They'll be masal days day.

906
00:50:41,080 --> 00:50:42,799
Speaker 1: It's gonna be like, watch, this is gonna be an

907
00:50:42,840 --> 00:50:45,520
Speaker 1: annual thing. We just gotta start now. I know we're

908
00:50:45,520 --> 00:50:48,000
Speaker 1: gonna probably lose about two million dollars on this, but

909
00:50:48,120 --> 00:50:50,560
Speaker 1: we got to. I mean, the things that they were offering.

910
00:50:51,080 --> 00:50:53,640
Speaker 1: I guess what. I don't know how much a manicure costs,

911
00:50:53,719 --> 00:50:57,160
Speaker 1: but two dollars sounds pretty good. I'd get one for

912
00:50:57,239 --> 00:50:59,880
Speaker 1: two bucks. Now. If they could get this to be

913
00:51:00,239 --> 00:51:05,560
Speaker 1: a national holiday like that all just fifty nine day

914
00:51:05,640 --> 00:51:08,439
Speaker 1: or like where where you get everybody gets to pay

915
00:51:08,560 --> 00:51:11,440
Speaker 1: for things for at prices that they were like fifty

916
00:51:11,520 --> 00:51:14,600
Speaker 1: years ago. That would be pretty I would respect Amazon.

917
00:51:14,680 --> 00:51:16,759
Speaker 1: They're like, well, care the difference. I think if you

918
00:51:16,920 --> 00:51:19,160
Speaker 1: are a billionaire owner of a company, you should be

919
00:51:19,360 --> 00:51:24,520
Speaker 1: legally obligated to have prices for like one week out

920
00:51:24,560 --> 00:51:27,840
Speaker 1: of the year, right and eat eat all that fucking loss,

921
00:51:27,920 --> 00:51:30,160
Speaker 1: Eat fucking every bit of that. It's going to help

922
00:51:30,200 --> 00:51:33,399
Speaker 1: the yield curve in version or you know, we could

923
00:51:33,400 --> 00:51:35,640
Speaker 1: just pay people fucking living wages. I don't know, but

924
00:51:35,719 --> 00:51:39,560
Speaker 1: I like these promos. Right, Well, that's the thing. It

925
00:51:39,680 --> 00:51:42,040
Speaker 1: has to be like cute and fun for it to

926
00:51:42,239 --> 00:51:44,839
Speaker 1: work in our modern economy. I feel like that's like, yeah,

927
00:51:45,640 --> 00:51:48,319
Speaker 1: that's the dark side though of this promo. Right, it's

928
00:51:48,360 --> 00:51:50,560
Speaker 1: sort of when you see prices like this, people go,

929
00:51:50,680 --> 00:51:53,279
Speaker 1: oh wow, I could do this ship right, you know,

930
00:51:53,360 --> 00:51:55,279
Speaker 1: like if you don't have all this disposable income, Like

931
00:51:55,719 --> 00:51:58,000
Speaker 1: that's where you kind of see the sort of darker

932
00:51:58,080 --> 00:52:01,560
Speaker 1: elements of how wages are stagged nating. And people were like, yeah, actually,

933
00:52:01,680 --> 00:52:04,040
Speaker 1: this this feels right. This is like a world I

934
00:52:04,120 --> 00:52:07,920
Speaker 1: could live in, versus one where I'm like, I don't know,

935
00:52:08,239 --> 00:52:10,600
Speaker 1: should I should I eat at this place because the

936
00:52:10,680 --> 00:52:13,600
Speaker 1: sandwiches fucking twenty eight bucks. Yeah, it's if it's like

937
00:52:13,680 --> 00:52:18,080
Speaker 1: a cute viral stunt man, that's we're in. Uh yeah,

938
00:52:18,080 --> 00:52:19,920
Speaker 1: I mean people will line up around the block for

939
00:52:20,840 --> 00:52:23,879
Speaker 1: like people of promos, right yeah. And for gas that's

940
00:52:23,920 --> 00:52:27,000
Speaker 1: like a dollar cheaper than like the average gas price,

941
00:52:27,160 --> 00:52:29,840
Speaker 1: like that will cause a riot. And they offered it

942
00:52:30,000 --> 00:52:34,960
Speaker 1: for I think normal per gallon costs were three seventy

943
00:52:35,040 --> 00:52:37,560
Speaker 1: four at the time, three eight four, and they were

944
00:52:37,600 --> 00:52:42,120
Speaker 1: offering it for thirty cents. So yeah, they should have known.

945
00:52:43,000 --> 00:52:45,520
Speaker 1: You could have got a movie ticket for fifty one cents. Yeah,

946
00:52:46,160 --> 00:52:48,160
Speaker 1: well movie passed. They could have made their money if

947
00:52:48,280 --> 00:52:52,360
Speaker 1: we had that's right. So another thing that's going on

948
00:52:52,440 --> 00:52:55,440
Speaker 1: with Amazon that kind of ties into this is kind

949
00:52:55,480 --> 00:52:59,120
Speaker 1: of a good example of the adorably convenient way that

950
00:52:59,200 --> 00:53:02,360
Speaker 1: Amazon is owning the world. So you can get like

951
00:53:02,480 --> 00:53:06,640
Speaker 1: these bargain basement prices on any book, like that's kind

952
00:53:06,680 --> 00:53:10,440
Speaker 1: of been their thing from day one. But usually they

953
00:53:10,680 --> 00:53:15,600
Speaker 1: are providing those really amazing prices by you know, pulling

954
00:53:15,680 --> 00:53:18,560
Speaker 1: books from other countries that might not have the same

955
00:53:18,640 --> 00:53:22,360
Speaker 1: copyright laws as US. And so somebody was recently pointing

956
00:53:22,400 --> 00:53:26,600
Speaker 1: out that when you order the book four by George

957
00:53:26,719 --> 00:53:32,040
Speaker 1: Orwell online on Amazon, you will frequently get books that

958
00:53:32,280 --> 00:53:38,279
Speaker 1: have like insane problems with Like one reader discovered his

959
00:53:38,800 --> 00:53:42,440
Speaker 1: new copy of Fur had passages that were worded different.

960
00:53:43,040 --> 00:53:46,759
Speaker 1: For instance, the word faces was replaced with feces. Uh.

961
00:53:46,840 --> 00:53:49,719
Speaker 1: In one case that might change the meaning of the Yeah.

962
00:53:50,040 --> 00:53:52,919
Speaker 1: There was other Orwell books that skipped just a chunk

963
00:53:53,000 --> 00:53:56,480
Speaker 1: of pages, and that seemed to actually be a routine experience.

964
00:53:56,960 --> 00:54:00,160
Speaker 1: One edition of Animal Farm a Fairy Story where do

965
00:54:00,239 --> 00:54:03,680
Speaker 1: itself on the back cover as animals Farm a fair Story,

966
00:54:04,880 --> 00:54:08,600
Speaker 1: which chance changed the meaning again uh, and the preface

967
00:54:08,680 --> 00:54:13,719
Speaker 1: referred to another Great Warwell work, uh homage to Catalonia

968
00:54:14,480 --> 00:54:20,320
Speaker 1: as homepage to Catalonia. Uh. So these are just like

969
00:54:20,600 --> 00:54:25,439
Speaker 1: fake knockoff books or something right so terribly translated. Yeah

970
00:54:25,560 --> 00:54:30,640
Speaker 1: so uh. Four is still in within its copyright uh

971
00:54:30,920 --> 00:54:34,600
Speaker 1: protection in the US and the UK, but like in India,

972
00:54:34,719 --> 00:54:39,040
Speaker 1: they don't have the same copyright laws. So there's you know,

973
00:54:39,200 --> 00:54:42,719
Speaker 1: publishers over there who are just going to you know,

974
00:54:42,840 --> 00:54:46,120
Speaker 1: make a quick buck by printing a bunch of cheap

975
00:54:46,560 --> 00:54:48,560
Speaker 1: versions of it, and they might not get all the

976
00:54:48,640 --> 00:54:53,040
Speaker 1: words correct. They're not intentional misspelling. They're not intentional. It's

977
00:54:53,040 --> 00:54:55,480
Speaker 1: like they've been put into Google translating back right, and

978
00:54:55,560 --> 00:54:58,480
Speaker 1: they're like, great, just print it. Or they have a

979
00:54:58,520 --> 00:55:01,040
Speaker 1: bunch of like, hey you type really fast, Yeah, type

980
00:55:01,080 --> 00:55:03,720
Speaker 1: this whole book up for me, okay, and then faces

981
00:55:03,760 --> 00:55:08,439
Speaker 1: becomes feces. Yeah. So it's funny when I mean, first

982
00:55:08,440 --> 00:55:10,680
Speaker 1: of all, it's just a funny headline to say that

983
00:55:11,800 --> 00:55:17,239
Speaker 1: four passages are being rewritten by Amazon. But it's not

984
00:55:17,440 --> 00:55:21,680
Speaker 1: like the heavily controlled version of thought control that the

985
00:55:21,760 --> 00:55:25,680
Speaker 1: book imagines. It's the sort of wild eyed, all consuming

986
00:55:25,800 --> 00:55:30,560
Speaker 1: chaos of the Internet and economic opportunism and just all

987
00:55:30,640 --> 00:55:34,000
Speaker 1: of that stuff. But it's still fucked up because you

988
00:55:34,080 --> 00:55:38,800
Speaker 1: get feces instead of faces, and that changes the message.

989
00:55:39,000 --> 00:55:46,080
Speaker 1: It's like thought control making making things very dumb or

990
00:55:46,160 --> 00:55:50,839
Speaker 1: slightly dumber. Well, look, I for one bow to our

991
00:55:50,880 --> 00:55:54,960
Speaker 1: corporate overlords and welcome all these counterfeit books. Um. I

992
00:55:55,080 --> 00:55:57,960
Speaker 1: just like that. Their statement is so fucking weird. Yeah.

993
00:55:58,040 --> 00:56:00,840
Speaker 1: Their statement is there is no single source of truth

994
00:56:01,000 --> 00:56:03,640
Speaker 1: for the copyright status of every book in every country,

995
00:56:03,840 --> 00:56:06,480
Speaker 1: and so it relies on the authors and publishers to

996
00:56:06,560 --> 00:56:11,160
Speaker 1: police its site. That's very ORWILLI Yeah, which is odd.

997
00:56:13,400 --> 00:56:18,479
Speaker 1: I mean there's no single source of truth. Uh what really? Okay? Great?

998
00:56:19,680 --> 00:56:22,560
Speaker 1: Check out our typo laid in e books that you

999
00:56:22,600 --> 00:56:24,520
Speaker 1: can buy for pennies on the pennies on it. They're

1000
00:56:24,520 --> 00:56:26,399
Speaker 1: just putting it out there, just like they put those

1001
00:56:26,440 --> 00:56:29,520
Speaker 1: amazing gas prices out there. It's if people want to

1002
00:56:29,680 --> 00:56:32,920
Speaker 1: riot over it and fight each other, that's their problem. Hey,

1003
00:56:32,960 --> 00:56:36,040
Speaker 1: hey don't. I don't worry about our conditions in our warehouses.

1004
00:56:36,120 --> 00:56:39,279
Speaker 1: Check out this thirty gas and cheapass typo book. Yeah.

1005
00:56:40,040 --> 00:56:42,239
Speaker 1: I read e books all the time for free. I

1006
00:56:42,360 --> 00:56:46,480
Speaker 1: discovered this incredible source called the library. Yeah what, it's

1007
00:56:46,480 --> 00:56:54,480
Speaker 1: amazing books for free and they're spelled correctly. Yeah. Uh well, Craig,

1008
00:56:54,640 --> 00:56:57,239
Speaker 1: it has been a pleasure having you on the day. Guys,

1009
00:56:57,880 --> 00:57:02,480
Speaker 1: where can people find you? Follow you? See you to

1010
00:57:02,680 --> 00:57:05,879
Speaker 1: experience me? Uh, come to our water village. I'm hanging

1011
00:57:05,920 --> 00:57:10,560
Speaker 1: out Kikowski experience at water Village. That's right, Uh, my

1012
00:57:10,680 --> 00:57:13,960
Speaker 1: car wash. We'll turn on some Bravy shank and just

1013
00:57:16,600 --> 00:57:19,600
Speaker 1: but on Twitter you can find me at Kakowski. Instagram

1014
00:57:19,720 --> 00:57:22,720
Speaker 1: is C Kakowski. It's just spelled like it sounds c

1015
00:57:22,920 --> 00:57:25,640
Speaker 1: A C k O w s K I Craigslist peak

1016
00:57:25,680 --> 00:57:30,080
Speaker 1: cast on Twitter for my podcast Craigslist, which I make

1017
00:57:30,160 --> 00:57:33,240
Speaker 1: my wife Carla watch my one hundred favorite movies. We're

1018
00:57:33,240 --> 00:57:36,880
Speaker 1: about into the top ten. Now do you reveal what

1019
00:57:37,040 --> 00:57:38,960
Speaker 1: the top ten is ahead of time? Do people know?

1020
00:57:39,880 --> 00:57:41,640
Speaker 1: We usually do it one at a time. So we

1021
00:57:41,800 --> 00:57:43,480
Speaker 1: just put out a Raiders in the last art episode

1022
00:57:43,520 --> 00:57:47,320
Speaker 1: today and the Graduate is next, so the number eleven.

1023
00:57:47,440 --> 00:57:49,160
Speaker 1: And do people know what your number one movie is?

1024
00:57:49,200 --> 00:57:52,200
Speaker 1: They do not? I do? Okay, He's like, I gotta

1025
00:57:52,200 --> 00:57:55,640
Speaker 1: figure out one. What do you think? Do you? Hey?

1026
00:57:55,720 --> 00:57:58,720
Speaker 1: What's a good movie? The Mask? Right? Uh? Dunston checks

1027
00:57:58,760 --> 00:58:03,520
Speaker 1: in is pretty good. Baby's Day Out, Orange Tucks Improv

1028
00:58:03,640 --> 00:58:06,760
Speaker 1: for improv shows Twitter, and then The Alchemy of this

1029
00:58:06,880 --> 00:58:10,160
Speaker 1: podcast is a totally improvised podcast on this very network. Yes, yes,

1030
00:58:11,600 --> 00:58:15,960
Speaker 1: Kevin Pollock, who's usually there? Yeah? Uh? And is there

1031
00:58:15,960 --> 00:58:18,960
Speaker 1: a tweet you've been enjoying? You know, it's kind of evergreen?

1032
00:58:19,200 --> 00:58:24,080
Speaker 1: But God is always somebody great to follow on Twitter.

1033
00:58:24,520 --> 00:58:27,400
Speaker 1: And since we were talking about climate change, God put

1034
00:58:27,480 --> 00:58:31,040
Speaker 1: this out yesterday. The five Stages of climate change number one,

1035
00:58:31,160 --> 00:58:34,920
Speaker 1: Denial number two, guilt number three, depression number four, exceptance

1036
00:58:35,000 --> 00:58:39,439
Speaker 1: number five drowning there. It is so that guy knows,

1037
00:58:39,880 --> 00:58:43,920
Speaker 1: yeah he might miles. Where can people find you? Twitter

1038
00:58:44,080 --> 00:58:48,440
Speaker 1: and Instagram at Miles of Gray. A tweet that I

1039
00:58:48,640 --> 00:58:51,880
Speaker 1: like is from Let's see I Have a couple. The

1040
00:58:52,040 --> 00:58:55,960
Speaker 1: first is from Ellerie Smith. Past guests said God put

1041
00:58:56,040 --> 00:58:58,480
Speaker 1: me on this earth to slowly and systematically ruin the

1042
00:58:58,560 --> 00:59:02,520
Speaker 1: lives of thirty two year old man and Rachel Winnitsky.

1043
00:59:02,560 --> 00:59:05,080
Speaker 1: Another past guests caught my eye as someone who has

1044
00:59:05,080 --> 00:59:07,040
Speaker 1: been in and out of t s A recently. It

1045
00:59:07,040 --> 00:59:10,120
Speaker 1: says three types of travel personalities. One people who carefully

1046
00:59:10,120 --> 00:59:12,960
Speaker 1: wrap up their computer chargers, to people who just shoved

1047
00:59:13,000 --> 00:59:16,160
Speaker 1: the charger into a bag unwrapped. Three people who swallow

1048
00:59:16,200 --> 00:59:17,760
Speaker 1: the chargers so they can shoot it out when they

1049
00:59:17,800 --> 00:59:22,680
Speaker 1: get to wherever they're going. I'm number three. Yes. Noah

1050
00:59:22,680 --> 00:59:29,360
Speaker 1: Garfuncle tweeted DMX describing a Mario Batali outfit crocs, socks,

1051
00:59:29,840 --> 00:59:36,280
Speaker 1: button down, chronograph watch. Oh no uh. I enjoyed that

1052
00:59:37,080 --> 00:59:42,840
Speaker 1: somebody retweeted a local news story of the story headline

1053
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Speaker 1: is service dogs attend theater performance as part of training,

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Speaker 1: and the dogs are all sitting in theater seats and

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Speaker 1: Julia McCullough tweeted the movie titled good Boys was very

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Speaker 1: misleading to some, and then ava at Nationally tweeted, you

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Speaker 1: should be able to twist the bottom of the pringles

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Speaker 1: can to bring the chips to the top like a

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Speaker 1: app stick and that is the best idea game share

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Speaker 1: all day. You can find me on Twitter at Jack

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Speaker 1: Underscore O'Brien. You can find us on Twitter at Daily Zeitgeist.

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Speaker 1: We're at the Daily Zeitgeist on Instagram. We have Facebook

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Speaker 1: fan page on a website Daily i guys dot com

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Speaker 1: where we post our episodes and our footnote notes where

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Speaker 1: we link off to the information that we talked about

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Speaker 1: in today's episode, as well as the song we write

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Speaker 1: out on mild What is that going to be today?

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Speaker 1: Let's do a song by Nick Hakim who's a d

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Speaker 1: C artist. Uh and this is a track called Vincent

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Speaker 1: tyler Um just you know five five dud vibrations. Yeah.

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Speaker 1: Uh Well, The Daily Zeitgeist is the production by Heart

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Speaker 1: Radio for more podcasts for my heart Radio. If you

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Speaker 1: can visit the I Heart Radio app, Apple podcast or

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Speaker 1: wherever you listening to your favorite shows. That is gonna

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Speaker 1: do it for today. We will be back tomorrow because

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Speaker 1: it is a daily podcast. We'll talk to you then

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Speaker 1: and click. Could just say a body. We had been

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Speaker 1: still con the shipping matter the day he came to

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Speaker 1: be bare