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

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Speaker 1: three of Daily Night Guy Or June twenty, two, thousand eighteen,

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Speaker 1: Happy birthday to two of my best friends in the world,

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Speaker 1: Chris and Jose. My name is Jack O'Brien ak. Some

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Speaker 1: were over the Gray bow up Geist, the site that

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Speaker 1: I heard of once in a Jack Obrin That is

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Speaker 1: courtesy if I'm reliable narrator on Twitter, and I'm as

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Speaker 1: by my co host Mr Miles Gray Joe microphone check

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Speaker 1: one to what is this Miles of Gray with this

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Speaker 1: guy's business, I float like gravity. My mom's in the academy.

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Speaker 1: I got more rhymes and this I gain't got family,

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Speaker 1: nobody to slept, my borrow to know the daily game.

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Speaker 1: No same as that gang because you know there ain't

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Speaker 1: no names. Miles upon miles upon miles is what I have.

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Speaker 1: You want to distance I get, but you still don't

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Speaker 1: know to have. Wow, we had to spread our tribe

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Speaker 1: wings today. Shout out to Darby one Glass on Twitter

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Speaker 1: at day wan g for that one that was in

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Speaker 1: the hopper for a minute. My guy, that was you

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Speaker 1: submitted that made for it and I never forgot and

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Speaker 1: it felt right, So thank you. Sir for letting me wrap.

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Speaker 1: I love that we both had songs that are so

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Speaker 1: representative of like our generation, you know, like you had

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Speaker 1: Old Tribe and Judy and tried to have a third set.

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Speaker 1: An author of former Gussip columnist and the host of

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Speaker 1: another cous of Horse podcast that has come rocketing out

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Speaker 1: of the gate called Committed, she is Joe Piazza. Hey, guy,

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Speaker 1: I'm really bummed that I don't have entre. What's your

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Speaker 1: song at karaoke? Oh? I'm real good at living on

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Speaker 1: a p Oh really? Yeah? Okay I might I mean

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Speaker 1: maybe by the end of this episode. Yeah, yeah, I

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Speaker 1: will get up please please and do a little air

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Speaker 1: guitar and okay a true performance. Yes, and by up

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Speaker 1: I mean up on the bar. We do have a

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Speaker 1: bar recording studio. It's only filled with sprig soda and

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Speaker 1: lucroy Alright, we're going to introduce our listeners to you, Joe,

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Speaker 1: but before we do that, we like to tell them

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Speaker 1: what they're in store for, what stories we're going to

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Speaker 1: cover today. So we're gonna start out talking about a

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Speaker 1: recent episode of your show Committed, and how the human

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Speaker 1: memory works or fails to work, and how that ties

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Speaker 1: into various stories that are on our mind right now.

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Speaker 1: We're going to talk about the latest on border separation,

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Speaker 1: Corey Lewandowski's just Dynamite drop in on Fox News last night,

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Speaker 1: the executive order that may be coming down the pipe,

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Speaker 1: how people are making life hell for the people responsible

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Speaker 1: for separating families at the border, and how people are

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Speaker 1: profiting off of the practice of separating families and treating

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Speaker 1: immigrants like shit. We're gonna talk about the recently announced

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Speaker 1: Top fifty restaurants in the World list, uh, the new

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Speaker 1: EU rules on internet copyright that might essentially be a

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Speaker 1: meme band. And we're going to get a sports update

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Speaker 1: on some sport. I'm not sure. I can't remember what

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Speaker 1: we're going to talk about. But first, Joe, we like

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Speaker 1: to ask our guests, what is something from your search

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Speaker 1: history that is revealing bad who you are as a

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Speaker 1: human being? Um? Can you poison a baby by giving

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Speaker 1: them too much? Yes, it's the only thing my kid

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Speaker 1: wants to eat. Oh, okay, I thought you had a

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Speaker 1: loud neighbor baby. Next, for those loud and favor babies,

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Speaker 1: you slip poison bacon under the gotta get again, thankfully, No,

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Speaker 1: you cannot poison a baby by giving them too much

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Speaker 1: baby bell cheese. So you thought, for a moment, you

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Speaker 1: thought this could be a day and us amount of

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Speaker 1: cheese this could be. I mean, it was a lot

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Speaker 1: of cheese that I've given my child. I mean he

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Speaker 1: was going to turn into one of those baby bellballs,

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Speaker 1: right right. Yeah? Yeah, but no, he's safe, he's good,

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Speaker 1: He's good, yeah, according according to Google. So yeah, yeah,

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Speaker 1: I think I think I've had cheese poisoning before, and

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Speaker 1: it's just you don't go to the bathroom for like

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Speaker 1: a week. I mean, cheese poisoning. Just too much cheese.

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Speaker 1: You just over cheese yourself. You when did you over

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Speaker 1: cheese just throughout my life? On Tuesday? Yeah? Man, I

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Speaker 1: love cheese. Wait, so what was the moment where you

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Speaker 1: ate something like how much cheese? Was? Have you ever

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Speaker 1: eaten too much cheese? And then like you don't have

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Speaker 1: there's no such thing as eating nothing's moving down there

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Speaker 1: for like a couple of weeks. Well, when you say

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Speaker 1: nothing's moving down there, what are you talking about? You know,

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Speaker 1: have you tried Hey, Joe, Yeah, I am talking about you.

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Speaker 1: That's squatty Potty has not given us any money, so

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Speaker 1: we will not talk about squatty potty, but most romantic

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Speaker 1: Chris must present my husband. That's so nice, Joe. What

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Speaker 1: is something you think is overrated? Grown ups riding electric scooters? Okay,

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Speaker 1: I want it to end. Are you talking hoverboards? Are

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Speaker 1: those stupid birds? Now? Everything about hoverboards is fantastic. I'm

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Speaker 1: talking about birds, the bird scooters and the lime scooters.

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Speaker 1: And I just wanted to stop. The sidewalks are crowded,

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Speaker 1: the streets are crowded, and they're always people that don't

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Speaker 1: know how to ride a scooter. Right, It's like it's

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Speaker 1: like their first time on a scooter, and you're like, really,

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Speaker 1: what are the companies that are the main scourge up

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Speaker 1: in the bay, same same culprit culprits up in the Bay. Yeah,

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Speaker 1: and I just I just wanted to end. And I

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Speaker 1: also think that there's nothing less sexy than like a

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Speaker 1: grown man riding right. So, for those of you out

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Speaker 1: there who are fortunate enough to live in a city

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Speaker 1: that doesn't have these dumb bullshit scooters, there's an epidemic

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Speaker 1: of rentable scooters that you just use an app to

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Speaker 1: unlock and you can zip around all day and just

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Speaker 1: leave it and wherever. You just like throw it on

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Speaker 1: someone's lawn like it's trapped. And it's amazing because they

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Speaker 1: just appear overnight. Just one day, all of a sudden,

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Speaker 1: my entire neighborhood was covered in the scooters and people

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Speaker 1: were just like zipping around on I remember somebody sent

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Speaker 1: me a picture on Twitter of the d C Metro

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Speaker 1: like the station had fucking scooters on the platform, like

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Speaker 1: on a subway plank. Took it down the escalator and

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Speaker 1: just carried it down the escalator. I mean, I just

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Speaker 1: needed to get from the bottom of the escalator to

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Speaker 1: the train. They're just there. It is an admirable level

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Speaker 1: of laziness. Yeah, on the one hand, I think it

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Speaker 1: looks whack. I think it's annoying to have it all

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Speaker 1: over your streets and sidewalks. On the other hand, so Miles,

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Speaker 1: you and I were walking to lunch yesterday and we

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Speaker 1: witnessed a dude who was tweeting sleeveless and on one

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Speaker 1: of those hoverboards, and he was like. At first, we

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Speaker 1: were like, this guy is the problem with all of

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Speaker 1: the world, with just the modern world in general. But

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Speaker 1: by the time we had like walked halfway up the block,

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Speaker 1: he was like four blocks away, like damn, dude, like

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Speaker 1: this might be the future, Like you looked like an asshole.

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Speaker 1: She was texting the whole time and just like fucking

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Speaker 1: flying just be like how people used to be the

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Speaker 1: Bluetooth earpieces. You're like, dude, that's a dumbass look. And

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Speaker 1: then like for a while that was like the wave

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Speaker 1: and now it's air pods. I'm still anti airpo at pod. Yeah,

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Speaker 1: thank you, anti AirPod. I have enough money, But I

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Speaker 1: will say air pods are like being anti cell phone,

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Speaker 1: and then once you have one it it really is

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Speaker 1: the best problem. Suproducer was walking around the office like

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Speaker 1: the fucking the second Coming of Christ, like and I

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Speaker 1: just put the phone anywhere and I'm cord free. And

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Speaker 1: then you're like, why you got those wires? Jack? Yeah,

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Speaker 1: she looked at me. I had plugged in old Apple headphones,

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Speaker 1: you know, the old school. She's ended in my computer

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Speaker 1: and she looked at me and was like, what is

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Speaker 1: happening over there? I don't why do you have wires

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Speaker 1: coming out of your ears? Like I was a fucking cybor,

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Speaker 1: like you're neo waking up in the real world. But

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Speaker 1: I don't think people should go all in like that. However,

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Speaker 1: the air pods are the best product that Apple has

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Speaker 1: made since the iPhone. Yeah not yet, I'm not ready.

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Speaker 1: It's really good. I lose them, but yeah, I thought

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Speaker 1: so too, and I did. And I feel like someone

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Speaker 1: I just feel like you're looking to get robbed when

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Speaker 1: you got that on. Yeah, that's like I got air

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Speaker 1: pod money, you know. I mean if I still got

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Speaker 1: him wired, you might be able to be like, maybe

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Speaker 1: it doesn't that don't have anyone. I'll press somebody with

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Speaker 1: the air pods, not if I'm on my hoverboard. Catch

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Speaker 1: up later. And finally, what is something that is underrated? Raccoons? Raccoons?

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Speaker 1: I you know, I watched that video of that raccoon

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Speaker 1: climbing that skyscraper in Minneapolis so many times. And who

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Speaker 1: would have thought that a raccoon could bring so much

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Speaker 1: joy to so many people in such dark times. It

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Speaker 1: was such a triumph of the human spirit or the

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Speaker 1: raccoon spirit, marsupial spirit. Uh. Yeah, because in the beginning,

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Speaker 1: when I saw trending like what the fund is trending

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Speaker 1: on Twitter? But then I saw it. At first I

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Speaker 1: was like, this is so stupid, And then later in

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Speaker 1: the day They're like, yo, she still hasn't gotten up there.

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Speaker 1: And then I'm like, all right, let me see. She

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Speaker 1: looks so tired, so tired, like like all of us tired,

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Speaker 1: beaten down, but still still find the resolve to keep

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Speaker 1: ascending the tower. And I didn't know raccoons could climb

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Speaker 1: the side of a tower like like that Spider Man.

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Speaker 1: They can. Their hands look like our hands, just smaller,

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Speaker 1: so if our hands were smaller. Oh my god, Jack,

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Speaker 1: I just saw your hands the first time. They were disgusting.

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Speaker 1: Yeah they're not. They do have like little human ish hands. Yeah.

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Speaker 1: Oh yeah, they did that, the thumbs and everything. Washed things. Yeah,

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Speaker 1: they pulled fruit out of the trash and they washed them. Yeah.

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Speaker 1: We were We were camping the other night and one

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Speaker 1: climbed in the back of our super Yeah he did that.

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Speaker 1: Sounds like a Portland a joke, but it's not. I

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Speaker 1: I'm a goddamn my mom who's a huge possum proponent.

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Speaker 1: You're just gonna stop at possum. Yeah, my mom was

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Speaker 1: a giant antic possum. I still don't know how she's

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Speaker 1: my mother, but genetically we do share the same anyway. Yes,

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Speaker 1: she hates raccoons. Because she sees them like like son

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Speaker 1: the possums in her yard and like take the food

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Speaker 1: that she leaves out for the possums. So she's like,

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Speaker 1: they're my nemesis. Um. But I think she's coming around

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Speaker 1: a little bit when she realizes that, you know, she

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Speaker 1: she tends to just put a human story onto animals.

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Speaker 1: And then it's like, oh, if you see the raccoon

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Speaker 1: with its baby, she'll probably instantly be like it was

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Speaker 1: a single mother. Now if you see a raccoon without hair,

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Speaker 1: have you seen that? Oh my god? Wait, oh my

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Speaker 1: guys out, Why wouldn't the raccoon have hair, Like did

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Speaker 1: someone shave? I think it must have like fallen out

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Speaker 1: or it got like raccoon out. Oh no, yeah, you're

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Speaker 1: a raccoon with no hair. It's pretty scary looking. Um

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Speaker 1: but yeah, uh it looks like a broke broke bear.

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Speaker 1: Yeah yeah yeah, yeah yeah yeah. And me to have

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Speaker 1: to start the raccoons that they have been raccoons without

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Speaker 1: hair that have been uh you know, confused with mythological creatures.

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Speaker 1: They're like it's a you know, swampy right, yeah, because

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Speaker 1: raccoons without hair scary looking. Finally, Joe, I know, I

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Speaker 1: said finally before, but I tried to tease up the

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

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Speaker 1: is true that you know to be false. So I

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Speaker 1: just learned this yesterday. Um, the fact that porn stars

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Speaker 1: a lot of people think they're not just like us, um,

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Speaker 1: and I'm here to say they are just like us.

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Speaker 1: I did an interview for Committed with these two married

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Speaker 1: porn stars yesterday, and I think I was expecting to

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Speaker 1: walk into their house and for it to be like

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Speaker 1: crazy party porn Central just stink, yeah, exactly, and and

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Speaker 1: and it wasn't. I mean, it was just the coziest

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Speaker 1: little place I've ever been. There was the Walter Isaacson

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Speaker 1: biography of Da Vinci Counter, which I'm also reading, and um,

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Speaker 1: the wife was hand raising baby chickens in the bathroom,

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Speaker 1: which I would also like to do. So I was like, huh, wow,

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Speaker 1: porn stars, they are just like us? How about that? Yeah? Yeah,

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Speaker 1: there's a Tennessee in this country to look at porn

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Speaker 1: stars is just these other people mythical, mythical? How could

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Speaker 1: they have sex on camera? As we saw it was

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Speaker 1: just like Rudy Giuliantti's con judgments on people's sexual mores

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Speaker 1: from Rudy Giuliani. So I can't agree with you. Guys. Well,

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Speaker 1: that's why you started wearing air pods because you saw

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Speaker 1: how he was rocking them. Like, yeah, people need to

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Speaker 1: look up Google image search Rudy Giuliani with air pods

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Speaker 1: because he has them in backwards, some upside down and backwards.

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Speaker 1: He did marry his cousin. He did. He absolutely did. Um,

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Speaker 1: that's cool. Well, I'm gonna look forward to that episode

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Speaker 1: of Committed, And I actually for a first story one

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Speaker 1: to talk about your second episode of Committed, because it's

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Speaker 1: on a subject that I've been hearing just really interesting

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Speaker 1: podcasts about recently. The second episode was about a couple

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Speaker 1: where the wife had sort of surgery that hampered her

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Speaker 1: short term memory. Yeah yeah, so she uh and she

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Speaker 1: had a stroke on the operating table and it gave

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Speaker 1: her this form of amnesia where she can't make new memories.

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Speaker 1: She can make some memories, she can't make them very easily.

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Speaker 1: And there's that terrible Adam Sandler movie fifty First Dates

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Speaker 1: about this kind of amnesia. Terrible change my face that

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Speaker 1: that movie was No Overboard, which is the best movie

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Speaker 1: temporary amnesia. Um, And so, yeah, this is a real

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Speaker 1: life story about that, And how do you have a

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Speaker 1: marriage when one person I can't remember what's happening? And

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Speaker 1: the most incredible thing about their story is they've used

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Speaker 1: this to have the most memorable marriage ever. And it

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Speaker 1: means that every day they're going into it trying to

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Speaker 1: find a way to make Gwen remember. So they started

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Speaker 1: running Marathon's yasa. Her husband has come this world famous

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Speaker 1: competitive eater who can create more cannolis than anyone in

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Speaker 1: the world. Gwen enrolled in Juilliard and yeah, she just

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Speaker 1: seems like a wildly talented person. Yeah, yeah, just but

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Speaker 1: and also wildly, wildly happy. So she keeps telling me

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Speaker 1: that she thinks she's a lot happier now. I mean,

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Speaker 1: this terrible thing happened to her and it's been hard,

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Speaker 1: but she doesn't hold grudges. She lives very much in

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Speaker 1: the present. Um. I asked her if she journals and

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Speaker 1: writes down when her and her husband fight, and she says, no,

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Speaker 1: why would I want to remember it? And I think

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Speaker 1: that's a really interesting lesson for all of us. But

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Speaker 1: how do you win? Well, that scoreboard is going to

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Speaker 1: look pretty fucked up at the end of the month,

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Speaker 1: right to take all those l's. Yeah, um, And so

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Speaker 1: it was just fascinating how to build a marriage when

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Speaker 1: you have this thing that you think could completely destroy

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Speaker 1: a relationship and actually it ends up making it a

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Speaker 1: lot more meaningful and a lot better. Yeah you. Uh

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Speaker 1: so your background is that you and your husband traveled

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Speaker 1: around the world and interviewed couples all over the world

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Speaker 1: about how they make a marriage work. Right? We did?

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Speaker 1: We did? Yeah, I mean because I got I was

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Speaker 1: like old when I got engaged, and I had no

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Speaker 1: idea how to be a wife. I didn't really want

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Speaker 1: to be someone's wife. That word kind of sucks. And

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Speaker 1: I was a travel editor at the time. I mean

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Speaker 1: I wasn't like, you know, rich and famous or anything,

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Speaker 1: uh to travel all over the world. But I was

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Speaker 1: working at Yahoo. So thanks guys for paying for me

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Speaker 1: to research my book. And yeah, we travel around asking

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Speaker 1: polygamous tribes and Orthodox Jews in Jerusalem and really fancy

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Speaker 1: French women, how do you do this marriage thing? How

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Speaker 1: does this work? And you know, kind of debunking the

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Speaker 1: myths and expectations around marriage. And it was a blast,

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Speaker 1: and it turned into a book called How to be

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Speaker 1: married and now a podcast called Committed. Yeah, and it's

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Speaker 1: such a good podcasting. You learn something about marriage and

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Speaker 1: relationships in every episode, but you also learned something like

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Speaker 1: the thing I took away from the memory episode is

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Speaker 1: just that this is now the second time that I've

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Speaker 1: heard a story about somebody with a short term memory

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Speaker 1: loss or impared short term memory who is an amazing

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Speaker 1: long distance runner. And it really gives you some insight.

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Speaker 1: I don't know, like if you guys have ever run,

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Speaker 1: but like I used to run marathons and like it.

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Speaker 1: When I first heard that, it changed how like I

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Speaker 1: thought about it, because it's really your memory, and like

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Speaker 1: being able to think about like how much pain you

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Speaker 1: were in a minute ago is like part of what

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Speaker 1: gets you down. It's like the weight of all the

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Speaker 1: pain you're in, as opposed to just like being in

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Speaker 1: the moment and being able to just like, okay, so

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Speaker 1: just focus on getting to the next moment. And how

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Speaker 1: much our minds mess us up. If we can just

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Speaker 1: get out of our heads, yeah, we would be so

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Speaker 1: much happier and also better at everything. Yeah, I wanted

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Speaker 1: to talk about the other two podcasts that I was

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Speaker 1: referencing that had interesting things on memory. So the first

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Speaker 1: was just an interview by the founder of Box with

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Speaker 1: Jane Mayer, who is the investigative journalist the New York Times.

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Speaker 1: She's written the definitive account of the Koch Brothers called

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Speaker 1: Dark Money. Uh, she wrote the definitive account of Clarence

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Speaker 1: Thomas and the Anita Hill trial. And it was just

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Speaker 1: like one thing she said. She said that all these people,

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Speaker 1: all these horrible people that she's found stuff out about,

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Speaker 1: believe that they have been tremendously wronged. Like the way

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Speaker 1: that these stories exist in their mind is that they're

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Speaker 1: able to hide the bad thing they're doing from other people,

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Speaker 1: but they're also able to hide it from themselves, and

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Speaker 1: they construct these elaborate narratives in which what they're doing

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Speaker 1: is the same as what other people are doing and

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Speaker 1: they're just being unfairly called out. And the founder of

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Speaker 1: Box like had this assumption that the Cokes hadn't embraced

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Speaker 1: their sort of I think he called it their boogeyman role,

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Speaker 1: because they are like the media boogeyman, and we, you know,

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Speaker 1: think of them as these evil people who are steepling

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Speaker 1: their fingers. And she was like, oh no, they're actually

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Speaker 1: very sensitive about how negatively they're being portrayed, and they

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Speaker 1: are doing all this charity to counter that, which is okay,

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Speaker 1: that's great, but yeah, everybody basically thinks they're the good guy.

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Speaker 1: That has constantly popped up in my mind ever since

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Speaker 1: I heard it because of, you know, the constant news

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Speaker 1: cycle we're dealing with what's self preservation to like, how

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Speaker 1: could you look at yourself and know if you've done

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Speaker 1: all that wrong and then be like, yeah, I'm fucked up, right,

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Speaker 1: you know what I mean? Like you would have to

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Speaker 1: be like, the only way to keep it moving is

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Speaker 1: to be interrationalized, and yeah, create just be like, no,

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Speaker 1: see fucking everybody's against me, and see what I've been

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Speaker 1: doing is right? So fun they'll funk all that. Yeah,

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Speaker 1: you have to be the hero of your own narrative

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Speaker 1: or you lose your mind. Yeah, And it's yeah, that

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Speaker 1: that is true regardless of who you're talking about. And

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Speaker 1: even if it seems like, well, surely the Koch brothers

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Speaker 1: know that they're doing this just to make the world

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Speaker 1: a worse place too so that they can make more money,

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Speaker 1: they have no clue that that's what they're doing. Um,

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Speaker 1: and then the other podcast, uh that is sort of

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Speaker 1: a more sympathetic memory fault is Malcolm Glabwell did an

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Speaker 1: episode of his podcast a couple weeks ago about Brian

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Speaker 1: Williams lying about being in that helicopter. Yeah, so he

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Speaker 1: told on David Letterman the story of how he was

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Speaker 1: in a helicopter that got shot out of the sky,

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Speaker 1: and it turned out he was actually in a helicopter

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Speaker 1: thirty minutes behind that one. It was like thirty minutes away,

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Speaker 1: and then they both got pinned down in a sandstorm,

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Speaker 1: and he basically immediately reported on it, and you know,

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Speaker 1: got these people's stories, and he basically comes to the

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Speaker 1: conclusion that Brian Williams honestly believed the version of the

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Speaker 1: story that he told on Letterman. He had just told

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Speaker 1: the story so many times from the people in the

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Speaker 1: lead helicopter's point of view that he had formed a

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Speaker 1: memory around essentially, and like he was shocked when he

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Speaker 1: found out that he wasn't in the thing. Dude. So

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Speaker 1: I can see logically what you're saying, but it's like

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Speaker 1: being like, have you ever been in a car accident,

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Speaker 1: you'll remember that ship and if you haven't been in one,

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Speaker 1: it would be hard for you to like sort of

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Speaker 1: recreate all those emotions. I don't know, I mean it

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Speaker 1: seems like you, right, So I mean, this is actually

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Speaker 1: something I've written about and actually did like one of

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Speaker 1: the early Crack podcast about, because it's interesting when you

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Speaker 1: study flash bold memories. So people we all know where

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Speaker 1: we were, how we learned about nine eleven, like every

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Speaker 1: moment of that day, people, especially people who lived in

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Speaker 1: New York. But the New School actually did an experiment

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Speaker 1: with people who were in New York on nine eleven

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Speaker 1: where they asked them in the days after the event,

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Speaker 1: than one month after, than six months after, than ten

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Speaker 1: years after, to tell the story of what happened on

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Speaker 1: that day, and their memories the stories they told changed drastically,

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Speaker 1: but their confidence level remained extremely high, to the point

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Speaker 1: that they would look at their old memory and be like,

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Speaker 1: that's my handwriting, But to know why I wrote that,

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Speaker 1: because that's not correct. Like this story that I'm telling

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Speaker 1: now is the true story. And part of the problem

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Speaker 1: is that the more times we access a memory, the

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Speaker 1: more opportunities there is for that memory to be corrupted.

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Speaker 1: So if it's a thing like a flash bold memory,

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Speaker 1: you constantly are going back to it, and each time

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Speaker 1: you go back to it, you're telling yourself a story

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Speaker 1: and you're introducing new ways for that memory to get

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Speaker 1: fucked up. There's actually a conspiracy theory that's based on

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Speaker 1: this because George W. Bush at one point talked about

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Speaker 1: how so you talked about how before he went into

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Speaker 1: the classroom to read my pet Goat on the morning

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Speaker 1: of September eleven, he watched on the news as the

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Speaker 1: first plane hit the tower, and people were like, well,

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Speaker 1: that's impossible. Nobody saw that. He must have had a

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Speaker 1: camera set up that was secretly showing him. And it's

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Speaker 1: actually just that if you ask most people, uh, do

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Speaker 1: you remember where you were when you saw the first

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Speaker 1: plane hit the tower? Like of people will create that

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Speaker 1: memory in their mind because they do have the memory

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Speaker 1: of the second plane hitting the tower, and so they

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Speaker 1: create a new memory. And he was just basically confusing

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Speaker 1: this thing. But he was telling the story as if

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Speaker 1: it was like this crystal clear thing in his mind.

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Speaker 1: Um So, anyways, if you think that he was intentionally lying,

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Speaker 1: I would suggest checking out that episode because I I

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Speaker 1: honestly was a little skeptical going in, but by the

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Speaker 1: end You're like, oh yeah, because he's like, you know,

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Speaker 1: just killing himself, like in this interview, like it's actually

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Speaker 1: with Matt Lower. Matt Lowers like, how could you possibly do?

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Speaker 1: You disgusted me and Brian Williams and then he takes

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Speaker 1: a button on the desk and exactly. But Brian Williams

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Speaker 1: is like, I it must have been ego. I must

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Speaker 1: have been coming from a place of ego. But like

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Speaker 1: it's clear that like he's trying to explain his behavior

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Speaker 1: without really understanding it. And Malow is like, yeah, like

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Speaker 1: just shipping on him up. Uh So I don't know.

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Speaker 1: It's human memory is fallible, and it's true. It's true.

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Speaker 1: I mean, we we create our own stories, that's the thing.

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Speaker 1: And more, I think, more than we think we do,

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Speaker 1: even when we're fairly confident in the and the accuracy

424
00:23:25,800 --> 00:23:29,560
Speaker 1: of our memories. Um. Anyways, that was a big, long

425
00:23:29,640 --> 00:23:32,560
Speaker 1: thing about memory. We're going to take a quick break

426
00:23:32,680 --> 00:23:43,440
Speaker 1: and we'll be right back after this. And we're back

427
00:23:43,840 --> 00:23:46,040
Speaker 1: and our main story that we're gonna be talking about

428
00:23:46,080 --> 00:23:47,800
Speaker 1: today is the same one we've been talking about a

429
00:23:47,840 --> 00:23:51,520
Speaker 1: lot lately, which is the policy of the Trump administration

430
00:23:51,560 --> 00:23:55,840
Speaker 1: of separating families at the border. And you know, the

431
00:23:55,920 --> 00:24:00,119
Speaker 1: hits just keep coming from this administration. Apparently they're as

432
00:24:00,160 --> 00:24:04,159
Speaker 1: an executive order coming soon that will uh you know,

433
00:24:04,359 --> 00:24:07,400
Speaker 1: intervene and change this policy. Wow. And I'm sure Trump

434
00:24:07,440 --> 00:24:09,280
Speaker 1: will pat himself on the back. Yeah, of course, because

435
00:24:09,280 --> 00:24:12,800
Speaker 1: he's compassionate. But uh, I don't want to miss out

436
00:24:12,800 --> 00:24:15,159
Speaker 1: on a couple of things that were coming from the

437
00:24:15,280 --> 00:24:18,800
Speaker 1: right on this. So there was an appearance by Korey Lewandowski,

438
00:24:19,000 --> 00:24:23,280
Speaker 1: Trump's homie who ran his campaign. I think was he

439
00:24:23,359 --> 00:24:26,760
Speaker 1: the first campaign? Yeah, he's been with the true I

440
00:24:26,800 --> 00:24:29,879
Speaker 1: mean he first met with Trump, I thinking, like months

441
00:24:29,920 --> 00:24:32,960
Speaker 1: before he even announced his campaign, and then eventually resigned

442
00:24:33,040 --> 00:24:36,760
Speaker 1: in June of sixteen after you know, he put his

443
00:24:36,800 --> 00:24:41,200
Speaker 1: hands on reporter. So anyways, he was on a Fox

444
00:24:41,280 --> 00:24:46,600
Speaker 1: News show yesterday representing the rights position on this matter.

445
00:24:46,880 --> 00:24:49,000
Speaker 1: I mean, look, I read today about a ten year

446
00:24:49,040 --> 00:24:52,080
Speaker 1: old girl with Down syndrome who was taken from her

447
00:24:52,080 --> 00:24:54,959
Speaker 1: mother and put in a cage. I read about a

448
00:24:54,960 --> 00:24:56,920
Speaker 1: a they just they want want to a ten year

449
00:24:56,960 --> 00:25:00,960
Speaker 1: old with Down syndrome. Anything you sa, but the bottom line,

450
00:25:01,720 --> 00:25:09,959
Speaker 1: you cra absolutely no, So how dare you? But yeah,

451
00:25:10,000 --> 00:25:12,960
Speaker 1: that's where we're at. The right, was in full damage

452
00:25:13,000 --> 00:25:15,840
Speaker 1: control mode on this story this morning, because the top

453
00:25:15,880 --> 00:25:20,000
Speaker 1: headline on Breitbart was DHS mother separated child with down

454
00:25:20,000 --> 00:25:24,680
Speaker 1: syndroma witness in a smuggling case. Wow, okay, so don't

455
00:25:24,720 --> 00:25:26,800
Speaker 1: worry about that. I'm pretty sure next time they'll be like, well,

456
00:25:26,800 --> 00:25:29,600
Speaker 1: do you have down syndrome? Right? Do you know? I

457
00:25:29,600 --> 00:25:32,080
Speaker 1: think that would be the next rhetorical defense that they

458
00:25:32,119 --> 00:25:36,120
Speaker 1: would let's get a test figured out. Well, I'm also

459
00:25:36,160 --> 00:25:38,800
Speaker 1: wondering if the next evolution of want womp is going

460
00:25:38,880 --> 00:25:42,520
Speaker 1: to be just the Charlie Brown teacher voice. Well, that's

461
00:25:42,560 --> 00:25:44,320
Speaker 1: definitely what's going on. They're just going to hit a

462
00:25:44,320 --> 00:25:47,560
Speaker 1: button and that's what's gonna play. It's really interesting too,

463
00:25:47,600 --> 00:25:50,520
Speaker 1: because you know, there was already an outcry of the

464
00:25:50,560 --> 00:25:53,600
Speaker 1: public not seeing where any of the girls or toddlers

465
00:25:53,600 --> 00:25:55,720
Speaker 1: were being kept, like we had only been seeing young

466
00:25:55,840 --> 00:25:59,200
Speaker 1: boys and like teenage men, and so yeah, I'm curious

467
00:25:59,240 --> 00:26:02,040
Speaker 1: to know because clearly they are not taking care of

468
00:26:02,040 --> 00:26:04,760
Speaker 1: people's disabilities. I can't imagine that they are, or like

469
00:26:04,800 --> 00:26:06,760
Speaker 1: they're even language barriers, like you know, there are a

470
00:26:06,760 --> 00:26:09,160
Speaker 1: lot of different dialects in guatemal and things like that

471
00:26:09,400 --> 00:26:11,160
Speaker 1: where some some of these people are not equipped even

472
00:26:11,160 --> 00:26:13,359
Speaker 1: communicate with kids who might not even be able to

473
00:26:13,400 --> 00:26:16,560
Speaker 1: communicate in Spanish to some of these people. So it's

474
00:26:16,760 --> 00:26:18,960
Speaker 1: to add to this that there are, you know, kids

475
00:26:18,960 --> 00:26:21,680
Speaker 1: with disabilities being separated, and then yeah, the reaction is

476
00:26:21,720 --> 00:26:25,760
Speaker 1: just sort of like, boo, fucking who is I don't

477
00:26:26,280 --> 00:26:30,080
Speaker 1: feel like we've just been just have kids. I don't know.

478
00:26:30,359 --> 00:26:34,040
Speaker 1: I have a hard time imagining like maybe they're just

479
00:26:34,240 --> 00:26:37,560
Speaker 1: really focusing on the whiteness of their kids, or in

480
00:26:37,600 --> 00:26:40,159
Speaker 1: this case, the fact that they're his kid doesn't have

481
00:26:40,600 --> 00:26:43,719
Speaker 1: four kids, four kids, And it's just it's it's amazing

482
00:26:43,760 --> 00:26:46,479
Speaker 1: to me every time I hear someone who's an actual

483
00:26:46,560 --> 00:26:51,680
Speaker 1: parent being so about yeah, it's it's an insane I mean,

484
00:26:51,760 --> 00:26:54,280
Speaker 1: I know, we talked about how you don't need kids

485
00:26:54,359 --> 00:26:59,320
Speaker 1: to feel sympathy in in this case, but having kids,

486
00:26:59,359 --> 00:27:02,080
Speaker 1: I know in my case, Like there was a New

487
00:27:02,160 --> 00:27:05,800
Speaker 1: York Times story this morning about five year old boy

488
00:27:05,880 --> 00:27:09,800
Speaker 1: who was separated from his father coming across the border

489
00:27:10,040 --> 00:27:12,119
Speaker 1: and hadn't seen him in days and just like talking

490
00:27:12,160 --> 00:27:15,359
Speaker 1: about the ways that he's responding to that, and he

491
00:27:15,400 --> 00:27:18,520
Speaker 1: carries around this drawing of his family that he made

492
00:27:18,560 --> 00:27:21,359
Speaker 1: with like stick figures and they had to get it

493
00:27:21,440 --> 00:27:24,320
Speaker 1: laminated because otherwise it was gonna like come to pieces.

494
00:27:24,480 --> 00:27:27,320
Speaker 1: But like he you could like see he was acting

495
00:27:27,359 --> 00:27:29,600
Speaker 1: out in a way that like a child typically does,

496
00:27:29,680 --> 00:27:32,040
Speaker 1: but there was also this layer of trauma there, and

497
00:27:32,119 --> 00:27:35,480
Speaker 1: like it was just impossible to take as somebody who

498
00:27:35,520 --> 00:27:41,160
Speaker 1: like experiences normal children acting out like on a daily basis,

499
00:27:41,160 --> 00:27:45,080
Speaker 1: it's impossible not to put your kid in that situation. Um,

500
00:27:45,119 --> 00:27:48,520
Speaker 1: it was really dark. But obviously Korey Lewandowski is not

501
00:27:49,240 --> 00:27:53,640
Speaker 1: listening to the New York Times podcast and or has

502
00:27:53,680 --> 00:27:56,320
Speaker 1: a has his own definition of what child abuses right,

503
00:27:56,520 --> 00:28:00,639
Speaker 1: or what children are because the you know, the is

504
00:28:00,720 --> 00:28:03,560
Speaker 1: thinking in the same way as Donald Trump that these

505
00:28:04,040 --> 00:28:08,320
Speaker 1: children are the type of you know, creature that infests

506
00:28:08,520 --> 00:28:13,359
Speaker 1: quote unquote the country. DHS secretary, we we talked last

507
00:28:13,400 --> 00:28:15,520
Speaker 1: week about you know, what do you do in this case,

508
00:28:15,560 --> 00:28:19,879
Speaker 1: like how do you resist? And some people had a

509
00:28:20,040 --> 00:28:26,160
Speaker 1: pretty novel answer to that question. So Christian Nielsen had

510
00:28:26,200 --> 00:28:30,280
Speaker 1: the balls to go to a Mexican restaurant yesterday, and

511
00:28:30,440 --> 00:28:33,560
Speaker 1: that's a flex How how hard do you have to

512
00:28:33,560 --> 00:28:37,920
Speaker 1: be Jones? And for some right when you're like I'm

513
00:28:38,000 --> 00:28:43,320
Speaker 1: the face of like immigrant xenophobia, just disgrace policy of

514
00:28:43,320 --> 00:28:50,840
Speaker 1: this guy. I need so bad. So some protesters accompanied

515
00:28:50,840 --> 00:28:53,640
Speaker 1: her into the restaurant and started shouting her down. I

516
00:28:53,640 --> 00:29:01,560
Speaker 1: think we have some audio of them. You don't need

517
00:29:01,560 --> 00:29:05,200
Speaker 1: a date. We're calling you to add family separation as

518
00:29:05,240 --> 00:29:16,960
Speaker 1: a polish um. But yeah, so she, you know, spent

519
00:29:17,120 --> 00:29:20,360
Speaker 1: the first ten minutes of being shouted at, looking at

520
00:29:20,360 --> 00:29:24,120
Speaker 1: her phone, doing the like, well hopefully they just if

521
00:29:24,120 --> 00:29:26,440
Speaker 1: I ignore them, maybe they'll think I'm a different person,

522
00:29:26,640 --> 00:29:29,280
Speaker 1: right and uh, and then she just left the restaurant.

523
00:29:29,360 --> 00:29:32,640
Speaker 1: So I do think that people went above and beyond

524
00:29:32,640 --> 00:29:36,520
Speaker 1: to find ways to make people's lives uncomfortable. Who were,

525
00:29:36,960 --> 00:29:40,560
Speaker 1: you know, making this policy possible? And now, like we

526
00:29:40,600 --> 00:29:43,680
Speaker 1: said at the top of this segment, it appears as

527
00:29:43,720 --> 00:29:47,960
Speaker 1: though the President is going to intervene and past some

528
00:29:48,160 --> 00:29:53,040
Speaker 1: executive order that will keep families together. Unfortunately, it looks

529
00:29:53,080 --> 00:29:56,400
Speaker 1: like it will detain them indefinitely. Uh. Was that the

530
00:29:56,400 --> 00:29:59,160
Speaker 1: newest reporting about it? That's what the New York Times

531
00:29:59,200 --> 00:30:01,880
Speaker 1: report said this warning. I'm not sure if it's been updated,

532
00:30:01,920 --> 00:30:05,560
Speaker 1: but to Haberman joint, so a lot of anonymous sourcing

533
00:30:05,600 --> 00:30:09,080
Speaker 1: from people quote familiar with the president's thinking. But yeah,

534
00:30:09,200 --> 00:30:11,280
Speaker 1: it seemed like before, a lot of the reporting was

535
00:30:11,360 --> 00:30:14,240
Speaker 1: like the President is dug in on this, and I

536
00:30:14,240 --> 00:30:18,400
Speaker 1: mean as recently as yeah, maybe three hours, three hours

537
00:30:18,400 --> 00:30:21,080
Speaker 1: ago when I woke up, everyone's like, I don't know,

538
00:30:21,320 --> 00:30:23,360
Speaker 1: it looks like he's ready to do this thing. Congressional

539
00:30:23,360 --> 00:30:25,640
Speaker 1: Republicans went and met with him and they came out

540
00:30:25,720 --> 00:30:28,080
Speaker 1: being like, yeah, I don't know if he was just

541
00:30:28,160 --> 00:30:31,600
Speaker 1: totally unclear about whether he was going to respond or

542
00:30:31,880 --> 00:30:36,360
Speaker 1: change anything, and uh, now it seems like maybe one

543
00:30:36,400 --> 00:30:40,360
Speaker 1: of these many things got through to him. I know

544
00:30:40,520 --> 00:30:44,080
Speaker 1: he's going to pat himself on the back when he

545
00:30:44,160 --> 00:30:46,880
Speaker 1: announces this too, and he's going to say, I mean, look,

546
00:30:46,880 --> 00:30:49,320
Speaker 1: the Democrats wouldn't deal, so I had to solve this

547
00:30:49,440 --> 00:30:53,440
Speaker 1: terrible crisis, and it'll be completely framed like that. Absolutely,

548
00:30:53,480 --> 00:30:57,840
Speaker 1: he's gonna throw like a freedom rally, right exactly. It's

549
00:30:57,880 --> 00:31:00,200
Speaker 1: just and then the Philadelphia egules an't going to show up,

550
00:31:00,560 --> 00:31:04,720
Speaker 1: right exactly. And then and then you n Mexican food again.

551
00:31:04,920 --> 00:31:08,160
Speaker 1: But yeah, I just the pressure really needs to be

552
00:31:08,280 --> 00:31:11,200
Speaker 1: applied even more now, despite whatever, even if there's an

553
00:31:11,240 --> 00:31:14,200
Speaker 1: executive order ending this, Like these people acted in a

554
00:31:14,240 --> 00:31:17,000
Speaker 1: way that completely shows their lack of character and it's

555
00:31:17,000 --> 00:31:20,160
Speaker 1: like so unforgivable that like there's no there's no like

556
00:31:20,200 --> 00:31:22,720
Speaker 1: twist of logic that I can apply to this situation

557
00:31:22,760 --> 00:31:25,000
Speaker 1: to be like, well maybe I can you know, I'm

558
00:31:25,000 --> 00:31:27,680
Speaker 1: gonna s disgusting human rights violation and and this just

559
00:31:27,800 --> 00:31:30,400
Speaker 1: can't be one of the things that the media sweeps

560
00:31:30,440 --> 00:31:33,880
Speaker 1: under the rug next week when something else outrageous happened.

561
00:31:33,960 --> 00:31:37,000
Speaker 1: Yeah whatever, Michael Avanadi digs up. Yeah, I mean, I

562
00:31:37,040 --> 00:31:40,920
Speaker 1: do think the mainstream media was appropriately outraged. But this

563
00:31:41,000 --> 00:31:43,040
Speaker 1: has sort of been a reality check for me in

564
00:31:43,080 --> 00:31:48,640
Speaker 1: the sense that people really didn't seem to be like Miles,

565
00:31:48,680 --> 00:31:51,320
Speaker 1: you're talking about just some people you were noticing and

566
00:31:51,440 --> 00:31:53,720
Speaker 1: comments like I so I used to work in radio

567
00:31:54,080 --> 00:31:56,640
Speaker 1: and this one hip hop station used to work at

568
00:31:56,760 --> 00:31:58,480
Speaker 1: I was looking at like basically a lot of radio

569
00:31:58,480 --> 00:32:00,600
Speaker 1: stations on their social media, like on Instagram were posting

570
00:32:00,640 --> 00:32:03,920
Speaker 1: pictures of like this the situation with these immigrants and

571
00:32:03,960 --> 00:32:07,000
Speaker 1: saying like, hey, what do you think? And the comments.

572
00:32:07,280 --> 00:32:11,280
Speaker 1: I was blown away by the number of Latin X

573
00:32:11,400 --> 00:32:15,240
Speaker 1: people who were so indifferent to it of just sort

574
00:32:15,280 --> 00:32:17,560
Speaker 1: of like that's not my problem, or like they should

575
00:32:17,560 --> 00:32:21,080
Speaker 1: have followed the rules, or even like just anybody of many,

576
00:32:21,160 --> 00:32:24,040
Speaker 1: like even younger people people of color, who are just like, well,

577
00:32:24,080 --> 00:32:25,400
Speaker 1: you know, if you break the rules, like I don't

578
00:32:25,400 --> 00:32:27,440
Speaker 1: know what to do, like, they just stay where they are.

579
00:32:27,720 --> 00:32:30,640
Speaker 1: And it was really disheartening to see that because you're

580
00:32:30,640 --> 00:32:33,280
Speaker 1: even now seeing people of color sort of adopted sort

581
00:32:33,280 --> 00:32:35,880
Speaker 1: of like American privilege of just sort of like, well,

582
00:32:36,040 --> 00:32:39,520
Speaker 1: I'm fine, I'm good, that doesn't apply to me. It's

583
00:32:39,720 --> 00:32:42,640
Speaker 1: this sort of apathy that I was really sort of

584
00:32:42,640 --> 00:32:45,280
Speaker 1: blown away by that even people who are probably have

585
00:32:45,480 --> 00:32:47,720
Speaker 1: real connections to this kind of issue, we're just so

586
00:32:47,800 --> 00:32:50,520
Speaker 1: easily dismissive of it. I think people are going numb. Yeah,

587
00:32:50,520 --> 00:32:52,360
Speaker 1: and and and that's what I was afraid of from

588
00:32:52,360 --> 00:32:54,600
Speaker 1: the very beginning of this presidency. I'm like, we're going

589
00:32:54,600 --> 00:32:56,640
Speaker 1: to hit this place where people find like go numb.

590
00:32:56,840 --> 00:32:59,920
Speaker 1: And I think that's it's happening right now. Yeah. I mean,

591
00:33:00,600 --> 00:33:04,040
Speaker 1: I feel like the other thing is that the having

592
00:33:04,240 --> 00:33:08,680
Speaker 1: a right wing propaganda machine, having Drudge, who is only

593
00:33:09,160 --> 00:33:13,320
Speaker 1: today was only reporting about how poor the circumstances were

594
00:33:13,680 --> 00:33:16,920
Speaker 1: during the Obama administration. He wrote, Obama wrapped them in

595
00:33:17,000 --> 00:33:21,080
Speaker 1: foil and kage them, referring to the marathon blankets people

596
00:33:21,480 --> 00:33:25,200
Speaker 1: used and still using these facilities and just you know,

597
00:33:25,440 --> 00:33:28,479
Speaker 1: the Fox News of the world. I I don't know,

598
00:33:28,560 --> 00:33:32,680
Speaker 1: like we've used Watergate in the past as a touchstone

599
00:33:32,760 --> 00:33:38,160
Speaker 1: for you know, a completely corrupt administration and like what happens,

600
00:33:38,200 --> 00:33:41,520
Speaker 1: and we talked about how there was you know, broad

601
00:33:41,560 --> 00:33:45,120
Speaker 1: support and for a lot of Watergate people were like, yeah,

602
00:33:45,160 --> 00:33:48,880
Speaker 1: but it's a complicated story. We're sure the president has

603
00:33:48,880 --> 00:33:50,880
Speaker 1: nothing to do with it. And it was only after

604
00:33:51,440 --> 00:33:53,760
Speaker 1: like at the very end of the story did people

605
00:33:53,800 --> 00:33:57,440
Speaker 1: start giving a ship and like his approval plummeted. But

606
00:33:57,800 --> 00:34:00,880
Speaker 1: I really think that it doesn't make sense to use

607
00:34:01,000 --> 00:34:03,560
Speaker 1: that as a touchstone anymore because we exist in a

608
00:34:03,640 --> 00:34:07,200
Speaker 1: world where there's just you know, those people who are

609
00:34:07,600 --> 00:34:10,600
Speaker 1: saying that they shouldn't have broken the rules are also

610
00:34:10,640 --> 00:34:13,879
Speaker 1: saying you can't trust the media. And the whole thing

611
00:34:13,960 --> 00:34:18,560
Speaker 1: has worked like by having Fox News having something on

612
00:34:18,600 --> 00:34:22,360
Speaker 1: the right that is, you know, not telling the truth

613
00:34:22,400 --> 00:34:26,160
Speaker 1: and that is basically a propaganda machine, and opposing that

614
00:34:26,280 --> 00:34:29,560
Speaker 1: to the mainstream media that is focused on telling the

615
00:34:29,600 --> 00:34:34,000
Speaker 1: truth without any bias, the mainstream media becomes the left

616
00:34:34,040 --> 00:34:37,319
Speaker 1: and people are actually you know buying that. It seems like,

617
00:34:37,760 --> 00:34:41,760
Speaker 1: and I don't know, I really think that this story

618
00:34:41,840 --> 00:34:45,839
Speaker 1: has been an illustration of the fact that we don't

619
00:34:45,920 --> 00:34:50,360
Speaker 1: have a solution to that problem. There's no way to

620
00:34:50,520 --> 00:34:54,200
Speaker 1: combat Fox News other than to create a Fox News

621
00:34:54,200 --> 00:34:57,960
Speaker 1: for the left, because I just don't think they're But

622
00:34:58,000 --> 00:35:01,600
Speaker 1: how would more or less what's the propaganda would work?

623
00:35:01,640 --> 00:35:05,680
Speaker 1: I mean, Current TV didn't work. I worked there about

624
00:35:05,680 --> 00:35:08,840
Speaker 1: to say that, right, yeah, exactly, so I don't I

625
00:35:08,840 --> 00:35:10,520
Speaker 1: don't even know if that's the answer, you know, and

626
00:35:10,600 --> 00:35:14,160
Speaker 1: too Miles point that these comments are also coming from

627
00:35:14,200 --> 00:35:17,600
Speaker 1: a younger generation. You know, these are people who grew

628
00:35:17,680 --> 00:35:22,080
Speaker 1: up on blogs, not necessarily newspapers, and grew up on Facebook,

629
00:35:22,360 --> 00:35:24,920
Speaker 1: and they believe fake news is a real thing and

630
00:35:24,960 --> 00:35:28,160
Speaker 1: a real problem. I don't know how we combat that, right, Yeah,

631
00:35:28,200 --> 00:35:32,000
Speaker 1: I don't either. We've tried Air America didn't work. And

632
00:35:32,840 --> 00:35:35,680
Speaker 1: do you think podcasts are sort of a solution. But

633
00:35:35,719 --> 00:35:39,200
Speaker 1: that's really the only place you're seeing a consistent voice

634
00:35:39,239 --> 00:35:43,480
Speaker 1: that people are paying attention to. That is sort of combating.

635
00:35:43,840 --> 00:35:45,760
Speaker 1: But even then, you got like the Ben Shapiro shows

636
00:35:45,760 --> 00:35:47,400
Speaker 1: like at the top of the news charts too, so

637
00:35:47,480 --> 00:35:50,120
Speaker 1: that you know there's no the writer is doing a

638
00:35:50,160 --> 00:35:53,399
Speaker 1: good job of inoculating their base too. Yeah. I mean

639
00:35:53,600 --> 00:35:57,040
Speaker 1: one of the ways people have been trying to combat

640
00:35:57,120 --> 00:35:59,880
Speaker 1: this or you know, express their outrage over this is

641
00:36:00,280 --> 00:36:04,120
Speaker 1: people who are showrunners for Fox shows, like on the

642
00:36:04,400 --> 00:36:10,000
Speaker 1: entertainment side. Uh you know Seth McFarlane, the Family Guy dude,

643
00:36:10,120 --> 00:36:12,840
Speaker 1: and Family Guy Dude, and the show runner for a

644
00:36:12,880 --> 00:36:15,960
Speaker 1: Modern Family which airs on not Fox, I think it

645
00:36:15,960 --> 00:36:21,120
Speaker 1: airs on ABC. But I think it's student there, you know,

646
00:36:21,200 --> 00:36:24,879
Speaker 1: at least expressing some outrage. But I don't know what

647
00:36:25,040 --> 00:36:28,080
Speaker 1: that's necessarily doing. Well. I think I think it does matter. Um,

648
00:36:28,160 --> 00:36:29,680
Speaker 1: you know, because the bottom line is what matters to

649
00:36:29,719 --> 00:36:32,839
Speaker 1: company at this point. And sadly though in this country

650
00:36:33,000 --> 00:36:34,600
Speaker 1: you also have to have money. Those are the people

651
00:36:34,640 --> 00:36:36,640
Speaker 1: who really have the power because clearly we can only

652
00:36:36,640 --> 00:36:39,919
Speaker 1: do so much, like with our boycotting or like demonstrating.

653
00:36:40,160 --> 00:36:42,759
Speaker 1: But you know what really moves the needle is this

654
00:36:42,920 --> 00:36:45,040
Speaker 1: idea that like, oh, we're going to hurt the bottom

655
00:36:45,080 --> 00:36:46,920
Speaker 1: line bottom line, and and that's really and it's all

656
00:36:46,960 --> 00:36:48,759
Speaker 1: that matters. And it's as long as we know that,

657
00:36:48,880 --> 00:36:50,759
Speaker 1: it's fine. So it's like, let's think about how we

658
00:36:50,800 --> 00:36:52,960
Speaker 1: can hurt the body exactly Like I mean, there should

659
00:36:53,000 --> 00:36:55,920
Speaker 1: be just a full on boycott on everybody who advertised

660
00:36:55,960 --> 00:36:58,960
Speaker 1: on Fox after this week and like the crazy nonsense

661
00:36:59,000 --> 00:37:01,359
Speaker 1: that they were talking today and trying to give their

662
00:37:01,440 --> 00:37:05,000
Speaker 1: viewers like the help to rationalize why this evil ship

663
00:37:05,160 --> 00:37:08,319
Speaker 1: was worthwhile. This is now like when we're getting into

664
00:37:08,320 --> 00:37:10,760
Speaker 1: the kind of rhetoric that even like Tucker Carlson was spewing,

665
00:37:11,080 --> 00:37:13,960
Speaker 1: which was just like this dehumanizing of immigrants and kind

666
00:37:13,960 --> 00:37:17,040
Speaker 1: of like being like they're irreversibly changing our culture and

667
00:37:17,040 --> 00:37:20,400
Speaker 1: ship like that, this sort of white nationalism that is

668
00:37:20,440 --> 00:37:24,319
Speaker 1: just it's it's dangerous. And Carlson was talking about how

669
00:37:24,760 --> 00:37:27,280
Speaker 1: you know, these people want us to worry about immigrant

670
00:37:27,400 --> 00:37:31,120
Speaker 1: children instead of our children, which like, oh, who are

671
00:37:31,239 --> 00:37:34,320
Speaker 1: we versus who are they? They use this us and

672
00:37:34,400 --> 00:37:36,640
Speaker 1: then again and it's I mean, it's also just there's

673
00:37:36,640 --> 00:37:38,960
Speaker 1: a complete disc like those two things don't have anything

674
00:37:39,000 --> 00:37:41,200
Speaker 1: to do with each other. And also can we talk

675
00:37:41,200 --> 00:37:42,719
Speaker 1: about the fact that the right isn't taking care of

676
00:37:42,719 --> 00:37:45,919
Speaker 1: our children either, right, well, it's doing nothing to show

677
00:37:46,680 --> 00:37:49,160
Speaker 1: child The one thing that we've seen is that the

678
00:37:49,320 --> 00:37:55,200
Speaker 1: GOP has fully invested in the white supremacist capitalist patriarchy platform.

679
00:37:55,400 --> 00:37:57,799
Speaker 1: You know, they want to ensure that the country stays

680
00:37:57,840 --> 00:38:01,360
Speaker 1: as white as possible. They clue, really have no regard

681
00:38:01,440 --> 00:38:04,759
Speaker 1: for women, mothers, especially at the border. Uh. And the

682
00:38:04,800 --> 00:38:08,000
Speaker 1: capitalism side of this whole thing is really, you know, disturbing,

683
00:38:08,000 --> 00:38:10,239
Speaker 1: because if you think about it, there were so many

684
00:38:10,239 --> 00:38:13,680
Speaker 1: opportunities for Republicans to fix this and they just didn't.

685
00:38:13,760 --> 00:38:17,359
Speaker 1: Why because of this whole idea of this white supremacist

686
00:38:17,560 --> 00:38:20,480
Speaker 1: capitalist world we live in this government that we're operating in.

687
00:38:20,760 --> 00:38:23,600
Speaker 1: So the President could have easily just ended it before

688
00:38:23,600 --> 00:38:24,960
Speaker 1: having to do do this an executive order. He could just

689
00:38:24,960 --> 00:38:27,280
Speaker 1: told Jeff Sessions, yo, my guy, we're not doing this anymore.

690
00:38:27,600 --> 00:38:29,520
Speaker 1: But he didn't do that. He said that the Democrats

691
00:38:29,640 --> 00:38:31,800
Speaker 1: blah blah blah, and just was just obscuring the facts.

692
00:38:32,320 --> 00:38:35,040
Speaker 1: The Republicans in the House could have introduced a narrow

693
00:38:35,080 --> 00:38:37,600
Speaker 1: bill that was just specifically about this, and it would

694
00:38:37,640 --> 00:38:40,520
Speaker 1: have passed overwhelmingly from all the reporting, like everyone's like, yeah,

695
00:38:40,560 --> 00:38:42,600
Speaker 1: we'll vote for that, that's fine. But they tried to

696
00:38:42,600 --> 00:38:44,680
Speaker 1: sneak it in with some other immigration stuff to make

697
00:38:44,760 --> 00:38:50,400
Speaker 1: our immigration yeah exactly. One GOP senator could have said,

698
00:38:50,600 --> 00:38:53,360
Speaker 1: I'm voting with the Democrats for any further confirmations you

699
00:38:53,360 --> 00:38:55,480
Speaker 1: want to push through Mitch McConnell and guess what, at

700
00:38:55,480 --> 00:38:57,520
Speaker 1: that point, you're gonna have some trouble, and that would

701
00:38:57,520 --> 00:39:00,400
Speaker 1: have forced Mitch McConnell to deal to Republican could have

702
00:39:00,400 --> 00:39:03,160
Speaker 1: said we're gonna caucus with Democrats now and change the

703
00:39:03,200 --> 00:39:06,280
Speaker 1: Senate math and Mr McConnell would have effectively been minority

704
00:39:06,360 --> 00:39:08,840
Speaker 1: leader at that point. But no one did it. Not

705
00:39:08,880 --> 00:39:11,520
Speaker 1: even these people like Jeff Flake and Bob Corgrey were

706
00:39:11,520 --> 00:39:14,080
Speaker 1: talking all that ship like once they figured out they

707
00:39:14,080 --> 00:39:15,480
Speaker 1: were going to retire, and they want to be like, oh,

708
00:39:15,480 --> 00:39:18,160
Speaker 1: there is gussing. I would never do it. They were silent.

709
00:39:18,200 --> 00:39:19,759
Speaker 1: They did they I mean silent in the sense that

710
00:39:19,800 --> 00:39:23,800
Speaker 1: they said cool stuff and tweeted, but it's silent and

711
00:39:23,800 --> 00:39:26,920
Speaker 1: they didn't do anything. Yeah, and it's not really surprising

712
00:39:26,920 --> 00:39:29,160
Speaker 1: when you look at both of those men have taken

713
00:39:29,160 --> 00:39:32,399
Speaker 1: money from private prison companies, which are the group who

714
00:39:32,480 --> 00:39:34,759
Speaker 1: is really actually, you know, really profiting off of this

715
00:39:34,800 --> 00:39:36,640
Speaker 1: whole thing, because at the end of the day, you know,

716
00:39:36,800 --> 00:39:39,680
Speaker 1: there are people who, as I said, I seen the comments,

717
00:39:39,719 --> 00:39:41,560
Speaker 1: they are completely confused there like, well, I don't know

718
00:39:41,560 --> 00:39:43,640
Speaker 1: about the news. This could be fake, you know, this

719
00:39:43,680 --> 00:39:46,279
Speaker 1: could be propaganda, Like they should go wherever like that,

720
00:39:46,400 --> 00:39:49,000
Speaker 1: They're not my problem. This is all just you know,

721
00:39:49,200 --> 00:39:51,680
Speaker 1: confusion that is sown from the top to make people

722
00:39:51,840 --> 00:39:54,560
Speaker 1: fight with each other, because really it's about these companies

723
00:39:54,600 --> 00:39:56,960
Speaker 1: and whoever two can make a profit off of, you know,

724
00:39:57,160 --> 00:40:01,359
Speaker 1: commodifying the immigration issue. Um and when you look at

725
00:40:01,400 --> 00:40:04,440
Speaker 1: just the fact about it, like it's no surprise. So

726
00:40:04,480 --> 00:40:07,040
Speaker 1: like in the week following the election, stock prices for

727
00:40:07,080 --> 00:40:10,160
Speaker 1: the country's two biggest prison companies rose by around thirty

728
00:40:11,160 --> 00:40:14,560
Speaker 1: mostly because the promise came from the Trump administration that

729
00:40:14,600 --> 00:40:16,800
Speaker 1: they weren't going to do what the Obama administration did anymore,

730
00:40:16,840 --> 00:40:19,680
Speaker 1: which was moving away from doing business with private prison companies.

731
00:40:20,200 --> 00:40:23,880
Speaker 1: Like as of August, nearly three quarters of the average

732
00:40:23,960 --> 00:40:28,719
Speaker 1: daily immigration detainee population was held in facilities operated by

733
00:40:28,719 --> 00:40:33,160
Speaker 1: one of these private prison companies. And also private prison corporations,

734
00:40:33,200 --> 00:40:37,000
Speaker 1: they lobby on immigration and immigrant detention issues that affect

735
00:40:37,000 --> 00:40:38,920
Speaker 1: their bottom line, so they like to lobby around a

736
00:40:38,920 --> 00:40:42,000
Speaker 1: lot of the policy. So this one company, Core Civic,

737
00:40:42,000 --> 00:40:44,840
Speaker 1: they spent nine point seven million dollars, which was basically

738
00:40:44,880 --> 00:40:49,959
Speaker 1: six of total private prison lobbying expenditures that year where

739
00:40:49,960 --> 00:40:53,239
Speaker 1: they were lobbying directly that to the DHS Appropriation Subcommittee,

740
00:40:53,280 --> 00:40:57,040
Speaker 1: which maintains all the immigrant detention quota language and shapes

741
00:40:57,080 --> 00:40:58,920
Speaker 1: the way sort of that all these laws are interpreted.

742
00:40:59,200 --> 00:41:01,560
Speaker 1: So they know, the more they can put their hands

743
00:41:01,560 --> 00:41:03,840
Speaker 1: all over these laws, they can ensure things like you know,

744
00:41:03,960 --> 00:41:06,879
Speaker 1: minimum detainees and things like that to keep their profits high.

745
00:41:07,239 --> 00:41:09,160
Speaker 1: Now when you actually look at sort of how much

746
00:41:09,200 --> 00:41:11,879
Speaker 1: money they've made over like the last few years, I mean,

747
00:41:11,960 --> 00:41:14,759
Speaker 1: the profits are astronomical, just in the in the last

748
00:41:14,760 --> 00:41:18,520
Speaker 1: few years. And again, the two biggest private prison companies,

749
00:41:18,600 --> 00:41:21,400
Speaker 1: Cours Civic and the ge O Group, they dominate this

750
00:41:21,480 --> 00:41:25,879
Speaker 1: whole industry and they I think run of the detention center.

751
00:41:26,000 --> 00:41:28,360
Speaker 1: So these are the people who are really this is

752
00:41:28,400 --> 00:41:30,239
Speaker 1: the reason why Trump is also like I'm not going

753
00:41:30,280 --> 00:41:32,640
Speaker 1: to divert any judicial resources to this to address the

754
00:41:32,680 --> 00:41:35,359
Speaker 1: backlog of cases that need to be heard because if

755
00:41:35,360 --> 00:41:37,239
Speaker 1: you keep them in longer, then there's more money to

756
00:41:37,280 --> 00:41:40,080
Speaker 1: be made by these companies. Uh. And like the executive

757
00:41:40,160 --> 00:41:41,719
Speaker 1: Order doesn't get in the way of any of that

758
00:41:41,800 --> 00:41:47,400
Speaker 1: because it's just holding families there indefinitely. So these you know,

759
00:41:47,520 --> 00:41:49,520
Speaker 1: private prison companies will still do it. And I also

760
00:41:49,560 --> 00:41:51,640
Speaker 1: want to say, throughout all of this Democrats, their hands

761
00:41:51,680 --> 00:41:53,120
Speaker 1: are not clean either. And all of this, you know,

762
00:41:53,239 --> 00:41:58,200
Speaker 1: Clinton expanded mandatory immigration to tension in the number of

763
00:41:58,200 --> 00:42:02,280
Speaker 1: family detention beds went from dozens to over three thousand

764
00:42:03,239 --> 00:42:08,239
Speaker 1: under Obama's administration. You know, he even defended his unaccompanied

765
00:42:08,280 --> 00:42:11,239
Speaker 1: minor policies by saying stuff like, hey, well, don't send

766
00:42:11,280 --> 00:42:14,000
Speaker 1: your kids here because they'll get sent back. Like, we

767
00:42:14,080 --> 00:42:16,520
Speaker 1: have to just sort of begin to change the conversations

768
00:42:16,520 --> 00:42:19,239
Speaker 1: we have around this issue, because this is like we're

769
00:42:19,280 --> 00:42:22,719
Speaker 1: just creating a new population, a new prison population for

770
00:42:22,719 --> 00:42:25,000
Speaker 1: these companies to profit off. It already had to have

771
00:42:25,080 --> 00:42:28,480
Speaker 1: been really bad for the Trump administration to go like

772
00:42:28,600 --> 00:42:32,759
Speaker 1: one click worse and suddenly it's like a human rights

773
00:42:32,800 --> 00:42:35,880
Speaker 1: like violation, that's where we were. We were already in

774
00:42:35,880 --> 00:42:38,640
Speaker 1: a bad position. So you know, they are able to

775
00:42:38,680 --> 00:42:42,160
Speaker 1: pull out Obama administration ship because the Obama administration wasn't

776
00:42:42,160 --> 00:42:44,960
Speaker 1: great on this. But no, it doesn't mean that going

777
00:42:45,120 --> 00:42:50,400
Speaker 1: one click worse is unacceptable outcome. No, No, there are

778
00:42:50,400 --> 00:42:53,120
Speaker 1: There's gonna be a lot of demonstrations this weekend. I

779
00:42:53,120 --> 00:42:56,080
Speaker 1: hope people get out there because this is really the

780
00:42:56,120 --> 00:42:59,799
Speaker 1: time when just as Americans like we have to really

781
00:42:59,840 --> 00:43:01,759
Speaker 1: be vigilant about this kind of thing because it's a

782
00:43:01,920 --> 00:43:05,759
Speaker 1: slow boil into a country we don't even recognize. Who

783
00:43:05,840 --> 00:43:07,719
Speaker 1: knows what it's gonna look like six months from now,

784
00:43:08,560 --> 00:43:11,600
Speaker 1: what we've what we've let slide and exactly. And like

785
00:43:11,600 --> 00:43:13,799
Speaker 1: I said, I just hope that people remember it, and

786
00:43:13,960 --> 00:43:17,040
Speaker 1: especially if people do get out there and demonstrate this weekend.

787
00:43:17,520 --> 00:43:18,960
Speaker 1: I don't want people to go out. I mean my

788
00:43:19,040 --> 00:43:22,319
Speaker 1: issue with demonstrators is always are you going out for

789
00:43:22,400 --> 00:43:25,840
Speaker 1: like Instagram that that you're that you're going going to

790
00:43:26,160 --> 00:43:28,080
Speaker 1: especially and I saw that so much with the Women's March.

791
00:43:28,719 --> 00:43:31,640
Speaker 1: It was kind of disgusting. Um, And don't go out

792
00:43:31,680 --> 00:43:33,640
Speaker 1: just to get the likes, but go out and then

793
00:43:33,680 --> 00:43:36,200
Speaker 1: follow up and do something and remember that this happened.

794
00:43:36,239 --> 00:43:39,360
Speaker 1: Because going back to talking about memory, right, our memories

795
00:43:39,360 --> 00:43:42,920
Speaker 1: are both fallible and they're fleeting right now, and right

796
00:43:42,920 --> 00:43:45,840
Speaker 1: now is the time that we have to be vigilant. Yeah,

797
00:43:45,840 --> 00:43:47,560
Speaker 1: And if and when you're at those marches, if there

798
00:43:47,560 --> 00:43:50,200
Speaker 1: are people, if they're organizations, community action groups that are

799
00:43:50,200 --> 00:43:52,239
Speaker 1: out there saying hey, do you want to sign up?

800
00:43:52,360 --> 00:43:56,760
Speaker 1: Sign up? Because all of these community organizations they need

801
00:43:56,840 --> 00:44:00,239
Speaker 1: people to show up in physical space to help to

802
00:44:00,320 --> 00:44:03,040
Speaker 1: volunteer and do those things. And that's really, you know,

803
00:44:03,160 --> 00:44:06,640
Speaker 1: that's really an important step in participating in all of this.

804
00:44:06,800 --> 00:44:09,520
Speaker 1: It's not just about, yes, showing up to demonstration is great,

805
00:44:09,640 --> 00:44:11,920
Speaker 1: but we also do have to put in our time

806
00:44:12,560 --> 00:44:14,640
Speaker 1: as much as we can to you know, to help.

807
00:44:14,880 --> 00:44:16,880
Speaker 1: And on the social media front, I mean, I I

808
00:44:16,920 --> 00:44:21,239
Speaker 1: really do think the idea of boycott of Fox News advertisers.

809
00:44:21,239 --> 00:44:23,279
Speaker 1: I mean, like you were saying, there are all these

810
00:44:23,320 --> 00:44:27,279
Speaker 1: ways in which the other side is making money off

811
00:44:27,320 --> 00:44:30,000
Speaker 1: of these human rights outrages, and so we need to

812
00:44:30,000 --> 00:44:33,880
Speaker 1: find ways to make it less profitable for people to

813
00:44:34,400 --> 00:44:38,000
Speaker 1: you know, abuse people. Also, Microsoft, they're like, yeah, we

814
00:44:38,000 --> 00:44:40,719
Speaker 1: we're helping Ice use the cloud to make faster decisions

815
00:44:40,840 --> 00:44:43,640
Speaker 1: on how to deport children. So yeah, I mean I

816
00:44:43,640 --> 00:44:47,560
Speaker 1: would rather see someone instagram hey I'm boycotting this advertiser,

817
00:44:47,560 --> 00:44:50,520
Speaker 1: I'm boycotting this company, rather than instagramming like an adorable,

818
00:44:50,560 --> 00:44:53,040
Speaker 1: well filtered picture of you with your cute sign. I mean, yes,

819
00:44:53,080 --> 00:44:55,160
Speaker 1: go out there and make your sign, but like actually

820
00:44:55,200 --> 00:44:57,840
Speaker 1: post something that is meaningful. I mean yeah, like like

821
00:44:57,960 --> 00:45:00,040
Speaker 1: especially like Laura Ingram, like on her show when you

822
00:45:00,120 --> 00:45:01,880
Speaker 1: try to call these kids actors and said that they

823
00:45:01,920 --> 00:45:05,000
Speaker 1: were in basically essentially summer camps. Yes, I mean, I

824
00:45:05,000 --> 00:45:07,319
Speaker 1: don't know how many advertisers she has left, and like

825
00:45:07,400 --> 00:45:09,840
Speaker 1: John de here is still one and a couple other people.

826
00:45:09,880 --> 00:45:11,719
Speaker 1: I mean, I've never had the need for a John

827
00:45:11,719 --> 00:45:13,640
Speaker 1: Deer a piece of equipment, so it can count on

828
00:45:13,680 --> 00:45:15,839
Speaker 1: the fact that I want every that is a very

829
00:45:15,960 --> 00:45:19,080
Speaker 1: that is a very clean demographic like ven diagram. They're

830
00:45:19,120 --> 00:45:21,719
Speaker 1: just like you, and none of our customers give a

831
00:45:21,719 --> 00:45:24,920
Speaker 1: shit about this, So you guys can all go funk yourselves.

832
00:45:24,920 --> 00:45:27,719
Speaker 1: But yeah, fu John Dear, I think you will not

833
00:45:27,840 --> 00:45:31,439
Speaker 1: hear John Deere advertising on the Daily Zeitgeist. We will

834
00:45:31,480 --> 00:45:34,480
Speaker 1: turn down their ad dollars. All right, We're gonna take

835
00:45:34,480 --> 00:45:45,080
Speaker 1: a quick break. We'll be right back. All right, We're back.

836
00:45:45,440 --> 00:45:48,320
Speaker 1: And actually, and I just came through. Uh, I was

837
00:45:48,360 --> 00:45:51,760
Speaker 1: wrong about John Deer. John Dere's actually a great mower.

838
00:45:52,239 --> 00:45:57,480
Speaker 1: They have awesome hats when you're hunting. I mean, I mean,

839
00:45:57,480 --> 00:46:00,360
Speaker 1: it's the brand name that most people try us in

840
00:46:00,520 --> 00:46:03,840
Speaker 1: the world of forestry, machinery, diesel engines, and drive trains.

841
00:46:03,920 --> 00:46:07,120
Speaker 1: Hey you said at miles. All right, So the number

842
00:46:07,120 --> 00:46:12,600
Speaker 1: one trending thing on Google Trends this morning is actually restaurants. Yeah,

843
00:46:12,760 --> 00:46:16,439
Speaker 1: people just found out about these things. Restaurants. Uh plate

844
00:46:16,480 --> 00:46:18,759
Speaker 1: you go in there, they serve you food, they cook

845
00:46:18,800 --> 00:46:22,240
Speaker 1: it for you. It's amazing. Mom's house. Yeah. This list

846
00:46:22,440 --> 00:46:26,120
Speaker 1: just came out from the World's Fifty Best Restaurants Academy,

847
00:46:26,719 --> 00:46:31,319
Speaker 1: which one of the best schools out there to send

848
00:46:31,320 --> 00:46:34,839
Speaker 1: your kids to. Um who votes in this academy. It's

849
00:46:34,880 --> 00:46:43,279
Speaker 1: like thousands of international restaurant industry experts and well traveled gourmand's. Yeah.

850
00:46:44,360 --> 00:46:46,480
Speaker 1: People people who just like to flex on the ground

851
00:46:46,520 --> 00:46:50,719
Speaker 1: with their food. Restaurant I don't eat it. So uh.

852
00:46:50,760 --> 00:46:58,560
Speaker 1: They start off with Osteria Franciskana y number one. Yeah,

853
00:46:58,640 --> 00:47:00,279
Speaker 1: I couldn't believe that. I mean, I've only been there

854
00:47:00,280 --> 00:47:03,439
Speaker 1: a couple of times. But no, I've never been there.

855
00:47:03,719 --> 00:47:05,720
Speaker 1: I've never been any of these restaurants. But it sounded

856
00:47:05,760 --> 00:47:09,920
Speaker 1: like you guys have been. I've been. Yeah, So, I

857
00:47:09,920 --> 00:47:13,960
Speaker 1: mean I've been to a couple eleven. Madison Park, I've

858
00:47:14,000 --> 00:47:17,880
Speaker 1: been to Madison that's in New York City. Good good Hamburger.

859
00:47:18,840 --> 00:47:22,239
Speaker 1: I don't think it's you know, it's perfectly fine. I'm

860
00:47:22,239 --> 00:47:25,000
Speaker 1: actually I have some issue with this list. I have

861
00:47:25,040 --> 00:47:27,759
Speaker 1: some issues with this What's your issue, Well, I don't

862
00:47:27,800 --> 00:47:30,200
Speaker 1: know how much. I don't think we know enough about

863
00:47:30,200 --> 00:47:32,839
Speaker 1: the people that made this list, right, who are you?

864
00:47:32,960 --> 00:47:35,239
Speaker 1: Who are you? And how come Noma isn't on this list?

865
00:47:35,280 --> 00:47:40,879
Speaker 1: How come Noma isn't on this list? It wasn't wait Noma, yes, no,

866
00:47:40,880 --> 00:47:47,920
Speaker 1: Noma in uh yeah, yeah. I mean I have issues

867
00:47:47,960 --> 00:47:50,280
Speaker 1: with lists in general, and like this is all just spam,

868
00:47:50,320 --> 00:47:54,279
Speaker 1: crap um and anyone that is, you know, following making

869
00:47:54,320 --> 00:47:59,200
Speaker 1: their travel plans based on these lists. I question question,

870
00:47:59,400 --> 00:48:01,920
Speaker 1: so we should your list then? Wasn't numbre restaurant in

871
00:48:01,920 --> 00:48:09,080
Speaker 1: the world. Oh my gosh, that's so hard. Umny just

872
00:48:09,200 --> 00:48:11,520
Speaker 1: the waffle house. I mean, I'm pretty low brows. I

873
00:48:11,560 --> 00:48:14,920
Speaker 1: mean you shouldn't listen to but I wasn't, like, you know,

874
00:48:15,080 --> 00:48:18,600
Speaker 1: Blue Hill at Stone Barns is in here and also

875
00:48:18,600 --> 00:48:20,440
Speaker 1: an excellent restaurant. I just I think I need to

876
00:48:20,480 --> 00:48:24,160
Speaker 1: know more about what their criteria. Yeah, exactly all. Bully

877
00:48:24,440 --> 00:48:26,400
Speaker 1: was one of the best restaurants for so long in

878
00:48:26,520 --> 00:48:29,920
Speaker 1: Spain and I just went to their new restaurant, Tickets,

879
00:48:30,480 --> 00:48:34,080
Speaker 1: which is in Barcelona, and that's on there. It was.

880
00:48:34,320 --> 00:48:36,640
Speaker 1: It was indeed fantastic because it was like a Circus

881
00:48:36,680 --> 00:48:39,479
Speaker 1: of Food. Really, because it's only thirty two on this list.

882
00:48:39,520 --> 00:48:44,680
Speaker 1: I'm surprised that that impressed you. And just behind I thought, well,

883
00:48:44,680 --> 00:48:46,719
Speaker 1: I thought tickets was way better than than Blue Hill

884
00:48:46,719 --> 00:48:49,279
Speaker 1: at Stone Barns. Okay, so we need to we need

885
00:48:49,280 --> 00:48:52,320
Speaker 1: to do some investigating who these people? Yeah. I feel

886
00:48:52,320 --> 00:48:56,200
Speaker 1: like also there's this sort of thing where these are

887
00:48:56,320 --> 00:48:58,759
Speaker 1: like a whole type of experience where it is an

888
00:48:58,760 --> 00:49:01,719
Speaker 1: experience that's going there restaurants like there's like all these

889
00:49:01,760 --> 00:49:04,160
Speaker 1: people waiting on you and it's just like, I don't know.

890
00:49:04,200 --> 00:49:06,759
Speaker 1: There are also really good restaurants that are like hole

891
00:49:06,760 --> 00:49:08,839
Speaker 1: in the wall tak areas, and which I think are

892
00:49:08,840 --> 00:49:11,480
Speaker 1: the best restaurants. It's the hole in the wall tak area.

893
00:49:11,719 --> 00:49:14,000
Speaker 1: It's more of a surprise too, when you're like, oh

894
00:49:14,040 --> 00:49:18,719
Speaker 1: my god, I'm having religious experience in this shipping container. Right. Yeah. Well,

895
00:49:18,760 --> 00:49:20,800
Speaker 1: and my thing. And you know, I was a travel

896
00:49:20,880 --> 00:49:22,560
Speaker 1: writer for a long time too, and people are like,

897
00:49:22,560 --> 00:49:24,160
Speaker 1: how do you find great restaurants? Do you look at

898
00:49:24,160 --> 00:49:27,240
Speaker 1: these lists? And I'm like, funck No. I asked taxi drivers,

899
00:49:27,640 --> 00:49:31,000
Speaker 1: you know, like taxi drivers nowhere to eat at all

900
00:49:31,120 --> 00:49:33,960
Speaker 1: hours of the day and night, and they know what's

901
00:49:34,000 --> 00:49:36,279
Speaker 1: cheap and what's good and how to stretch your dollar

902
00:49:36,320 --> 00:49:38,960
Speaker 1: in a different country. And so I stopped paying attention

903
00:49:39,080 --> 00:49:41,359
Speaker 1: to these silly lists. Yeah, I feel like the hole

904
00:49:41,400 --> 00:49:44,680
Speaker 1: in the wall tak areas. Marketing teams tend to be

905
00:49:44,800 --> 00:49:53,160
Speaker 1: less sophisticated than uh, you know, these crazy five tables exactly. Um,

906
00:49:53,200 --> 00:49:58,040
Speaker 1: there are new EU rules on Internet copyright that could

907
00:49:58,120 --> 00:50:03,520
Speaker 1: basically mean a meme ban. Yes, so the European Parliament

908
00:50:03,920 --> 00:50:07,160
Speaker 1: in their Legal Affairs Committee, they basically approved a new

909
00:50:07,360 --> 00:50:11,960
Speaker 1: set of copyright rules which which includes this one segment

910
00:50:12,040 --> 00:50:14,880
Speaker 1: of it that basically some critics are saying it's like

911
00:50:14,920 --> 00:50:18,800
Speaker 1: it will create a meme ban essentially. So this article

912
00:50:18,880 --> 00:50:22,000
Speaker 1: thirteen I would make Internet platforms like Facebook and Twitter

913
00:50:22,040 --> 00:50:25,799
Speaker 1: they are now responsible from preventing user from uploading copyrighted

914
00:50:25,920 --> 00:50:28,400
Speaker 1: material or content to the site. So they'll basically have

915
00:50:28,440 --> 00:50:31,440
Speaker 1: filters like they do on YouTube to keep out copyrighted material.

916
00:50:31,520 --> 00:50:34,320
Speaker 1: So a lot of these critics are saying that they're

917
00:50:34,480 --> 00:50:39,319
Speaker 1: essentially going to end like memes because they use copyrighted material.

918
00:50:39,360 --> 00:50:42,840
Speaker 1: So you won't see distracted boyfriend or SpongeBob or whatever

919
00:50:42,880 --> 00:50:45,640
Speaker 1: the other will they communicate I don't know, And I'm

920
00:50:45,640 --> 00:50:49,000
Speaker 1: panicking boyfriend. Yeah, I mean I distracted boyfriend. Is it's

921
00:50:49,040 --> 00:50:51,799
Speaker 1: that meme? But yes, they yeah, there are a lot

922
00:50:51,840 --> 00:50:54,520
Speaker 1: of people like this. This is gonna be insane because

923
00:50:54,520 --> 00:50:56,600
Speaker 1: it's gonna keep us from doing this kind of Internet

924
00:50:56,600 --> 00:51:00,839
Speaker 1: culture stuff. Which makes sense that but in a European accent. Yes, yes,

925
00:51:01,280 --> 00:51:07,120
Speaker 1: which is that good American Deformation League, please call it

926
00:51:07,160 --> 00:51:11,520
Speaker 1: Jack so they yeah, so you know, we'll see what happens.

927
00:51:11,560 --> 00:51:14,000
Speaker 1: I think a lot of people proponents of this are like, oh,

928
00:51:14,040 --> 00:51:16,520
Speaker 1: they're overreacting, But I think there's also a good case

929
00:51:16,520 --> 00:51:18,319
Speaker 1: to say, like, oh, you're we're also seeing like just

930
00:51:18,400 --> 00:51:21,160
Speaker 1: automated policing of like internet activity to where like I

931
00:51:21,160 --> 00:51:24,840
Speaker 1: don't see how posting a distracted boyfriend meme is taking

932
00:51:24,880 --> 00:51:27,080
Speaker 1: money out of someone's pocket. It's absolutely not no, and

933
00:51:27,120 --> 00:51:30,200
Speaker 1: I'm I'm the automated policing isn't what we need. That's

934
00:51:30,239 --> 00:51:34,640
Speaker 1: not the answer your internet companies. I mean we yes,

935
00:51:34,760 --> 00:51:39,680
Speaker 1: we need thoughtful change from companies like Facebook and Twitter,

936
00:51:40,160 --> 00:51:43,160
Speaker 1: and we don't just need a I bots right right

937
00:51:43,200 --> 00:51:45,600
Speaker 1: to do the work for them. My accent was supposed

938
00:51:45,640 --> 00:51:51,759
Speaker 1: to be a London accent, by the way, not safe, mate, Well,

939
00:51:51,800 --> 00:51:54,399
Speaker 1: I think that's everything right. We don't have anything else,

940
00:51:54,440 --> 00:51:59,600
Speaker 1: do we? Oh? Wait? World Cup day time? Oh ship,

941
00:52:00,320 --> 00:52:07,279
Speaker 1: it's the World Cup day. Okay, wow, So it's your

942
00:52:07,280 --> 00:52:10,520
Speaker 1: boy mist here with the World Cup date. Uh. Starting

943
00:52:10,520 --> 00:52:12,759
Speaker 1: off with a few stories, Yes, to start off the

944
00:52:12,760 --> 00:52:14,360
Speaker 1: World Cup Day. First, I want to talk about some

945
00:52:14,400 --> 00:52:17,480
Speaker 1: of the results this morning. Portugal proved that they are

946
00:52:17,520 --> 00:52:20,600
Speaker 1: a one man team and overly reliant on Christiano Ronaldo,

947
00:52:20,640 --> 00:52:23,359
Speaker 1: because were it not for his contributions, I don't think

948
00:52:23,400 --> 00:52:25,640
Speaker 1: the team would be capable of doing much. Has he

949
00:52:25,680 --> 00:52:29,120
Speaker 1: scored all their goals so far? Yes, he has. He

950
00:52:29,200 --> 00:52:31,600
Speaker 1: scored three in the first game and then one today.

951
00:52:32,120 --> 00:52:34,759
Speaker 1: Shout out to him, he's got four goals. At the

952
00:52:34,800 --> 00:52:38,120
Speaker 1: same time, the way they played against Morocco was very

953
00:52:38,200 --> 00:52:41,319
Speaker 1: uninspired to say the least. Uh, and Morocco deserved to

954
00:52:41,400 --> 00:52:43,920
Speaker 1: win that game, but sadly they lost and so that

955
00:52:43,960 --> 00:52:46,200
Speaker 1: will be their last match. They've crashed out of the tournament.

956
00:52:46,520 --> 00:52:50,480
Speaker 1: But shoutouts to Morocco. But in more important news, I've

957
00:52:50,480 --> 00:52:52,280
Speaker 1: just been looking at sort of what's been going down

958
00:52:52,719 --> 00:52:55,880
Speaker 1: for the fans out there in Russia right now, and

959
00:52:55,920 --> 00:52:59,520
Speaker 1: apparently the new report is that just Russia in general,

960
00:52:59,640 --> 00:53:03,600
Speaker 1: they are running out of beer because the Sager fans

961
00:53:03,600 --> 00:53:05,920
Speaker 1: are too turned the funk up and they're drinking the

962
00:53:06,000 --> 00:53:10,600
Speaker 1: fucking They basically are drinking Moscow dry. They cannot keep

963
00:53:10,719 --> 00:53:14,080
Speaker 1: up with the demand for the beer that these fans have.

964
00:53:14,560 --> 00:53:17,640
Speaker 1: I know in some parts of the country, the Aussies,

965
00:53:17,880 --> 00:53:21,239
Speaker 1: the Sucker Roo fans, Yeah, they basically drank like an

966
00:53:21,320 --> 00:53:23,920
Speaker 1: entire city dry with tapped every keg of beer that

967
00:53:23,960 --> 00:53:26,640
Speaker 1: was available, drink all the beer. The Swedes also did

968
00:53:26,640 --> 00:53:28,640
Speaker 1: the same in another city because they were celebrating like

969
00:53:28,680 --> 00:53:31,120
Speaker 1: their first World Cup win in like fourteen years or

970
00:53:31,160 --> 00:53:33,920
Speaker 1: something like that, So it was basically it's a very

971
00:53:33,920 --> 00:53:36,400
Speaker 1: celebratory thing. But I still do not know how you

972
00:53:36,480 --> 00:53:40,120
Speaker 1: let this happen, because this is not anticipate. It is

973
00:53:40,360 --> 00:53:44,080
Speaker 1: literally the biggest sporting event on Earth and beer and

974
00:53:44,160 --> 00:53:46,239
Speaker 1: you run out of beer. Yeah, beer is literally the

975
00:53:46,280 --> 00:53:49,200
Speaker 1: one thing you need, yeah, for this morning. I don't

976
00:53:49,239 --> 00:53:51,560
Speaker 1: know if they, I don't know. It's like running out

977
00:53:51,560 --> 00:53:53,000
Speaker 1: of booze at your wedding. You're like, what are people

978
00:53:53,040 --> 00:53:54,719
Speaker 1: gonna want to drink there? Oh my goodness, have you

979
00:53:54,719 --> 00:53:56,560
Speaker 1: been to a waiting where the booze runs out? I

980
00:53:56,560 --> 00:53:58,239
Speaker 1: have been a wedding where the runs out and I'm

981
00:53:58,239 --> 00:54:01,200
Speaker 1: like yeah, and you almost feel bad for them. You're like, oh,

982
00:54:01,239 --> 00:54:03,239
Speaker 1: I know you don't like this because you're you just

983
00:54:03,239 --> 00:54:06,480
Speaker 1: took an elect your wedding. Anyway, Yes, they have completely

984
00:54:06,480 --> 00:54:09,640
Speaker 1: failed us the consumer with their lack of beer. Now

985
00:54:09,960 --> 00:54:15,040
Speaker 1: onto more problematic things. Russian burger king. They're so which

986
00:54:15,080 --> 00:54:22,640
Speaker 1: already sounds. They had a very weird social media campaign

987
00:54:22,880 --> 00:54:25,279
Speaker 1: where they were saying, hey, ladies of Russia, if you

988
00:54:25,280 --> 00:54:27,759
Speaker 1: get knocked up by a professional soccer player, we will

989
00:54:27,800 --> 00:54:30,120
Speaker 1: give you three million rubles, which is like forty seven

990
00:54:30,480 --> 00:54:34,640
Speaker 1: dollars and free whoppers for life and are people were like, yo,

991
00:54:34,719 --> 00:54:37,439
Speaker 1: what the fund is this? Uh? And it came down

992
00:54:37,680 --> 00:54:40,399
Speaker 1: pretty quickly and they're saying like we're really, we really

993
00:54:40,400 --> 00:54:44,399
Speaker 1: apologize for this. Seven thousand's not that much money. Yeah,

994
00:54:44,400 --> 00:54:50,040
Speaker 1: but withers for life. I would definitely double whoppers. I mean,

995
00:54:50,120 --> 00:54:52,319
Speaker 1: what are the what are the restrictions? Just get too

996
00:54:52,320 --> 00:54:55,600
Speaker 1: and then together you have a double whopper. I mean yeah,

997
00:54:55,880 --> 00:54:58,759
Speaker 1: with the wage income gap is a chasm. I'm sure

998
00:54:58,800 --> 00:55:02,719
Speaker 1: forty seven dollars go. It was a long way, but yeah,

999
00:55:02,880 --> 00:55:07,759
Speaker 1: that's a very you know that's cool, is struggling with population,

1000
00:55:08,280 --> 00:55:11,040
Speaker 1: you know, keeping their population where they wanted to be,

1001
00:55:11,360 --> 00:55:17,239
Speaker 1: and they've created a holiday that is basically Valentine's Day

1002
00:55:17,280 --> 00:55:20,680
Speaker 1: but for fucking and like recreate, like procreation. But they

1003
00:55:20,719 --> 00:55:23,400
Speaker 1: also don't love immigrants. So are they saying they want

1004
00:55:23,560 --> 00:55:27,680
Speaker 1: you to have sex with only Russian soccer players? They

1005
00:55:27,719 --> 00:55:29,400
Speaker 1: were fine with that part. I know there was a

1006
00:55:29,440 --> 00:55:31,720
Speaker 1: woman who like a member of parliament and a Russian

1007
00:55:31,719 --> 00:55:33,720
Speaker 1: government who was like, don't get in the little foreigners,

1008
00:55:34,360 --> 00:55:36,360
Speaker 1: right exactly? Yeah, So I mean the whole thing is

1009
00:55:36,480 --> 00:55:39,360
Speaker 1: very confusing. Yeah, I mean that's who should I have

1010
00:55:39,440 --> 00:55:42,480
Speaker 1: sex with? Russia? Tell me out to a Deana on

1011
00:55:42,520 --> 00:55:45,560
Speaker 1: Twitter for putting sending that my way moments before the recording,

1012
00:55:45,560 --> 00:55:47,959
Speaker 1: so you just stunck that one in. But yeah, uh cool,

1013
00:55:48,000 --> 00:55:50,319
Speaker 1: I mean Russian burger King sounds like a cool band name.

1014
00:55:50,719 --> 00:55:55,759
Speaker 1: So right, and is that that's going to do it for?

1015
00:55:57,680 --> 00:56:00,440
Speaker 1: I think it will do it? Yes, until with the

1016
00:56:00,600 --> 00:56:03,600
Speaker 1: Spain and Iran matches happening as we speak, so we've

1017
00:56:03,719 --> 00:56:06,640
Speaker 1: put that aside. We've delayed the viewing of that, so

1018
00:56:06,760 --> 00:56:09,960
Speaker 1: Anna and I can scream at the TV together, all right.

1019
00:56:10,280 --> 00:56:12,719
Speaker 1: That's crazy that Morocco is as good as they are.

1020
00:56:12,880 --> 00:56:15,000
Speaker 1: They have, they've got some good players. They have a

1021
00:56:15,000 --> 00:56:18,239
Speaker 1: lot of population of one of our US states and

1022
00:56:18,520 --> 00:56:21,840
Speaker 1: they are. Well that's because the US does not invest

1023
00:56:22,000 --> 00:56:24,640
Speaker 1: in getting everyone to play soccer. It's it's not as

1024
00:56:25,239 --> 00:56:27,719
Speaker 1: easily available to everybody as it is in other countries. Right.

1025
00:56:28,400 --> 00:56:32,120
Speaker 1: Uh well, Joe, it's been wonderful having you, you guys

1026
00:56:32,120 --> 00:56:35,080
Speaker 1: for having me. Where can people find you? Follow you,

1027
00:56:35,280 --> 00:56:38,560
Speaker 1: listen to you? Well? So committed pod is available in

1028
00:56:38,600 --> 00:56:41,799
Speaker 1: Apple podcasts or wherever you get your podcasts, um and

1029
00:56:41,840 --> 00:56:45,520
Speaker 1: we're on Instagram as committed pod at committed pod um

1030
00:56:45,560 --> 00:56:48,880
Speaker 1: and I'm at www dot Joe Piazza dot com, just

1031
00:56:49,040 --> 00:56:52,200
Speaker 1: where all my books live. Wonderful. And Joe, what's a

1032
00:56:52,400 --> 00:56:55,759
Speaker 1: tweet that you've enjoyed recently that you want to share

1033
00:56:55,800 --> 00:56:57,799
Speaker 1: with our listeners? Uh? So, I have to say, I

1034
00:56:57,840 --> 00:57:02,000
Speaker 1: really like the Cape Berland tweet Forever Haunted that Carrie

1035
00:57:02,040 --> 00:57:06,160
Speaker 1: Bradshaw didn't vote. Wait, is that true? Carry Bradshaw didn't vote?

1036
00:57:06,160 --> 00:57:09,120
Speaker 1: Your red Shaw is a fictional character. Check, I know,

1037
00:57:09,280 --> 00:57:14,400
Speaker 1: But is that like where she didn't vote? Didn't vote it? Indeed,

1038
00:57:15,239 --> 00:57:18,960
Speaker 1: she's too busy buying shoes. Yeah, that's why she did

1039
00:57:18,960 --> 00:57:20,520
Speaker 1: buy a lot of cool shoes though, I mean, I

1040
00:57:20,560 --> 00:57:23,000
Speaker 1: mean they were really nice. Yeah, Miles, where can people

1041
00:57:23,000 --> 00:57:25,480
Speaker 1: find you? Follow you? You can find me on Twitter

1042
00:57:25,680 --> 00:57:29,280
Speaker 1: and Instagram at Miles of Gray. And a tweet that

1043
00:57:29,360 --> 00:57:32,760
Speaker 1: I think would be hilarious and great is if somebody

1044
00:57:32,960 --> 00:57:37,080
Speaker 1: in Copenhagen or England can give me some recommendations because

1045
00:57:37,080 --> 00:57:40,040
Speaker 1: your boy will be in the UK bro in the

1046
00:57:40,040 --> 00:57:42,960
Speaker 1: EU man uh next week and I need all the

1047
00:57:43,000 --> 00:57:45,280
Speaker 1: love I can get and recommendations I could get. So

1048
00:57:45,360 --> 00:57:49,080
Speaker 1: it refuses to tell you about interesting every time. I

1049
00:57:49,160 --> 00:57:51,360
Speaker 1: use it to be just a self servicing moment in

1050
00:57:51,400 --> 00:57:55,400
Speaker 1: the show. All right, And my tweet of the is

1051
00:57:55,600 --> 00:58:00,960
Speaker 1: from Katie Stole, wonderful actress, worked with us a lot

1052
00:58:00,960 --> 00:58:03,960
Speaker 1: of crack. She tweeted a really good question. Did the

1053
00:58:04,000 --> 00:58:07,760
Speaker 1: idiom screwed the pooch originate when someone tried to do

1054
00:58:07,880 --> 00:58:11,800
Speaker 1: something but accidentally fucked a dog instead? Uh, that's a

1055
00:58:11,880 --> 00:58:15,280
Speaker 1: really good question. Yeah. You can follow me on Twitter

1056
00:58:15,320 --> 00:58:19,680
Speaker 1: at Jack Underscore O'Brien. You can follow us at Daily Zeitgeist.

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Speaker 1: We're at the Daily Zeitgeist on Instagram. We have Facebook, Campage,

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Speaker 1: and a website Daily zu guys dot Com, where we

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Speaker 1: post our episodes and are but no, we we let

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Speaker 1: off to the information that we talked about in today's episode,

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Speaker 1: as well as the song we ride out on Miles.

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Speaker 1: What's that going to be? This is just kind of

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Speaker 1: a boom bap instrumental hip hop beat, uh from the

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Speaker 1: Golden erat hip hop. It's not from the gold Ara,

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Speaker 1: but it harkens TODs. This is a song called Crystal

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Speaker 1: Silence by Psalmtrees and I just love a little bit

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Speaker 1: of a piano sample with that just old school boom

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Speaker 1: bap rhythm behind it. It had me freestyling in my

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Speaker 1: car on the way here and I don't even wrap anymore.

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Speaker 1: So yeah, check out this track, Crystal Silence. I would

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Speaker 1: never have the balls to name something Crystal silence. That

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Speaker 1: means these people are wickfuler than me. It's so cool.

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Speaker 1: Crystal crystal silence. Man, think about it? All right, Well,

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Speaker 1: we're gonna write out on that. We will be back

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Speaker 1: tomorrow because it is a daily podcast. We'll talk to

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Speaker 1: you guys then him law mm long long h m

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Speaker 1: hm hm. Be delerously happy. Let's leave yourself oward to

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Speaker 1: be Okay, be deliously happy. I shall I should do

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Speaker 1: my utmost