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

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Speaker 1: two of jur Daily Night guyst production of I Heart Radio.

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

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

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Speaker 1: fuck the Coke Brothers and their coke industries and Fox News.

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Speaker 1: It's Tuesday, February fourth. My name is Jack O'Brien. A K.

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Speaker 1: A Hey, Jack O'Brien, what's it like to be so liddy?

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Speaker 1: I was looking miles away, but then you're singing voice

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Speaker 1: It hit me. Soccer blue Jack Maine can't keep as well.

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Speaker 1: Onto I swear it's true. Oh it's croonin Jacoby. Oh

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Speaker 1: it's croon in Jacoby alright. Courtesy of Treck Gang. Just

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Speaker 1: g ez a ks and I'm thrilled to be joined

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Speaker 1: as always by my co host, Mr Miles grow Roll

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Speaker 1: and all the de ly see. I'm pretty flawing for

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Speaker 1: the site, guys firm. I've had a few iterations on

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Speaker 1: that one, but thanks to Trevis Trevor Trevor Trevor on Twitter.

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Speaker 1: Yeah see, the colebrew hasn't hit yet. You didn't even

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Speaker 1: read no. I think I think that is Actually I

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Speaker 1: was looking at his Twitter handle, and that's correct. That's

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Speaker 1: how it's pronounced. Thank you so much. Three words that

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Speaker 1: you tried. I do think you'll ever be able to

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Speaker 1: say normally. No, I've noticed. I think every show we've

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Speaker 1: done in this new year has been We've been like

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Speaker 1: because I always want to say two thousand, just because

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Speaker 1: I've gotten that rhythm of saying because we've been doing

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Speaker 1: the show for so damn yeah. Uh yeah, So I

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Speaker 1: am officially I have my parents note, I am excused

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Speaker 1: from having to say even two thousd and twenty sounds weird.

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Speaker 1: It does to you. Two thousand, yeah, kind of just trying.

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Speaker 1: I don't know. I just want to get in that

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Speaker 1: big old head of yours, walk around a little bit,

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Speaker 1: stomp around a little bit, miles. Ah. We just came

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Speaker 1: back from Portland's man had a great time, great time,

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Speaker 1: sold out show. Uh and now we are headed to

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Speaker 1: the great city. I believe it's called the Big Apple

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Speaker 1: Brooklyn at the Bellhouse. It's a borough where the Big

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Speaker 1: Apple at as Big used to say, Hey, spread love.

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Speaker 1: It's the Big Apple Way, yes, uh yeah. Where are

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Speaker 1: we going to be? Bellhouse? February twelve, Washington, d C.

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Speaker 1: February at the Miracle Theater, Minneapolis. February at the Parkway Theater, Chicago,

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Speaker 1: February seven, Sleeping Village, and the grand Finale Toronto, Toronto, Toronto.

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Speaker 1: Sorry there we go. Yeah I was we were saying Toronto,

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Speaker 1: and that's I didn't know if I was Toronto. Yeah,

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Speaker 1: we're doing that February at the Great Hall Venue. Looks

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Speaker 1: these venues look almost too professional for our show in

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Speaker 1: the way. We're so nervous, but please come out. Absolutely

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Speaker 1: definitely too professional. Although this show is uh, you know,

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Speaker 1: it's going to show you a side of the Zeitgeist

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Speaker 1: you've never seen. There's audio, there's visual, there's audio visual elements.

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Speaker 1: We also, I think we also reveal some truths about ourselves.

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Speaker 1: Oh yeah, yes we do. Uh So for tickets, go

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Speaker 1: to Daily za Geist dot com and go to live

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Speaker 1: appearances tab. And by the way, uh just buy the

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Speaker 1: tickets from the vendor. Don't buy it from any person parties. Cook.

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Speaker 1: Uh somebody got scammed at the Portland's show. Uh so, yeah,

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Speaker 1: be careful out there. We are thrilled to be joined

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Speaker 1: in our third seat by the hilarious and talented Carl Hess.

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Speaker 1: Oh my god, thank you guys so much. Thank you

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Speaker 1: for waiting patiently while we just I was just enjoying

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Speaker 1: the banter. It's just a pleasure to see great Thank you.

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Speaker 1: You guys have great voices too. I forgot how much

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Speaker 1: singing was involved with this show. Really, I love to

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Speaker 1: see it. That means so much because that is truly

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Speaker 1: my aspiration. Actually, I feel like now that I nailed

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Speaker 1: that a K, I can reveal to all our listen

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Speaker 1: how much singing is in the live show? Is there

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Speaker 1: a there is the show that I I smash, it

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Speaker 1: goes he goes out of body. Yeah, it's amazing, to

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Speaker 1: the point where I don't even do an a K.

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Speaker 1: I'm like, you know what, but that was in the pocket,

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Speaker 1: I think is how it's been described to me. I don't,

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Speaker 1: like I said, I don't remember it. I go out

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Speaker 1: of blackout. You come to set. Everyone's cheering and on

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Speaker 1: their shoulders again, Carl, how have you been man with you?

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Speaker 1: I mean, you know, just trying to uh, trying to

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Speaker 1: stay sane in this crazy world of arriss. Uh yeah,

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Speaker 1: day by day, you know, Uh, I think we all

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Speaker 1: just you know, like like any of us just been

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Speaker 1: spending too much time online you know, it's easy to

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Speaker 1: just kind of just feel like, Wow, what am I

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Speaker 1: doing with my life? Yeah? Being online is the only

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Speaker 1: thing that I hate. But I'm like, better do it

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Speaker 1: for five hours to make sure. Yep, Okay, still hated?

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Speaker 1: Got Oh is it? The day is over? Cool? Still bad?

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Speaker 1: Still still very bad. Probably gonna do it some more. Yeah, well,

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Speaker 1: we're about to do it some more in a moment.

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

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Speaker 1: bit better. Uh. First, we're gonna tell our listeners what

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Speaker 1: they should be freaking out about so they don't have

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Speaker 1: to go online and find out. We're gonna talk about

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Speaker 1: ghost kitchens. Miles, You're gonna explain what that means to me.

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Speaker 1: These virtual kitchens, Bro, they're out here, They're out here

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Speaker 1: for sure, these damn those cases. We're gonna do our

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Speaker 1: latest update on the impeachment. I'm talking about in this

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Speaker 1: cree Oh my god, I love that. I love that beat.

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Speaker 1: Let me just say I love that beat. Good. I'm

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Speaker 1: talking about this crew hit them with it. Uh, And

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Speaker 1: then we're gonna talk about the Iowa Caucuses. I didn't

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Speaker 1: know what caucusing was. Necessarily, I didn't realize how uh

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Speaker 1: like cartoonishly, are you with me? Then comes standing my

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Speaker 1: strange system? Yeah, very strange system. Glad, it's what we

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Speaker 1: let determine just the most important thing ever. Alright, we're

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Speaker 1: gonna talk about children's books being a new form of

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Speaker 1: Trump protest. We're gonna talk about the super Bowl that happened.

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Speaker 1: We're going to give out some winners and losers gangs.

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Speaker 1: Oh yeah, we're gonna talk in particular about the Bubweiser

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Speaker 1: super Bowl commercial. But first car we like to ask

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Speaker 1: our guests, what's something from your search history that's reeling

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Speaker 1: about who you are? Um, well, you know, I think

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Speaker 1: a lot about politics, Trump his antics, and uh, you know,

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Speaker 1: I don't think Trump is the worst president. I think

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Speaker 1: w is still the worst. But I was thinking how

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Speaker 1: vulgar Trump is and then I remember this story that

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Speaker 1: I heard, so like googled it and it's fucking true. Uh.

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Speaker 1: Lyndon Johnson once, while asked why we were in Vietnam,

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Speaker 1: he took out his dick to a group of reporters

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Speaker 1: and said that's why. And I was just thinking, like,

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Speaker 1: Trump hasn't done anything to match that whipping out your

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Speaker 1: dick to a group of reporters. I mean, that is

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Speaker 1: that's god tear. Yeah, it was like back at a

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Speaker 1: time that that was something he liked to do. Apparently

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Speaker 1: had a huge dick which he called jump bumbo um

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Speaker 1: he one time with his name he called which like

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Speaker 1: gives off more of like a clown sort of like circus,

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Speaker 1: like it's a friendly name though, Okay, sure he's huge,

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Speaker 1: but he's gentle um. He whipped it out. I think

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Speaker 1: I don't know if I had heard that specific instance.

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Speaker 1: I know that he made a journalist who was critical

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Speaker 1: of him like sit with him and talk to him

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Speaker 1: as he was taking a shot. Yes, he would do

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Speaker 1: that to aids and people as a power trip. Like

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Speaker 1: he's in the you know, White House presidential bathroom taking

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Speaker 1: a shot. He's like, come in here, I'm gonna like

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Speaker 1: dress you down. And then one time he during a

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Speaker 1: meeting like used just asked one of his secret service agents.

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Speaker 1: I think it was to stand in front of him

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Speaker 1: and peet on him, dude lynden Man well like, but

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Speaker 1: used him like a tree that he was peeing behind,

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Speaker 1: And so when somebody was like, what are you doing,

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Speaker 1: he was like, it's my prerogative. Son. Yeah, he would

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Speaker 1: whip it out to piss a lot, and uh he

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Speaker 1: would also he would often be like, if you were

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Speaker 1: pissing next, and get a look at this. You haven't

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Speaker 1: seen anything like this. It's jumbo baby, an extra nickel.

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Speaker 1: You can upgrade your jumbo j on a whole other level.

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Speaker 1: And Trump could never It was at a time, it

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Speaker 1: was a different time, a brazen man. The media would

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Speaker 1: cover up for a president they had just gotten done

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Speaker 1: covering up for all of JFKs exactly mistresses. And then

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Speaker 1: you know they probably thought it was love it. We

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Speaker 1: all love it. What is something you think is overrated?

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Speaker 1: We were talking about this a little bit beforehand. I

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Speaker 1: think sweet jewel pod flavors wildly over it. All the

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Speaker 1: popular flavors are sweet. I think there should be savory

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Speaker 1: jewel pods. Let's let's get some adult ask jewel pod flavor.

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Speaker 1: I would funk with an egg's benedict. Jewel Pod'd be like, really,

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Speaker 1: taste that hollandaise, It's delicious. It would be so good.

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Speaker 1: Why is everything now? Are jewel pods that accurate to

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Speaker 1: like what their target tastes that? I like the cool cucumber.

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Speaker 1: I'm not a huge vaping guy, but you know, occasionally

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Speaker 1: you know you're vaping right now. I'm vaping right Can

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Speaker 1: you get your face? Your head flavor? Country? Here we are.

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Speaker 1: Your head is just a cloud of vapor. Often I'll

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Speaker 1: hit of friends and it'll be like cooingly sweet cotton

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Speaker 1: candy flavor or something. This is disgusting. You've smoked this

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Speaker 1: all day, Like what do you a child? You want

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Speaker 1: brought in candy flavor in your mouth? Your friends children?

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Speaker 1: You know I hang out. I have a desparate age

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Speaker 1: range because my crew is you know, they did pull

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Speaker 1: some of those back. I know Jewel did because they're

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Speaker 1: the apple of nicotine. That's the other thing. If you

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Speaker 1: want teens to stop jeweling, just make just sucking liver

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Speaker 1: and onions. They're not gonna want to like this is

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Speaker 1: this is heavy gravy, like they did pull it back

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Speaker 1: right like the market and like I think it was

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Speaker 1: all the ones except for that's what happened. Ones that

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Speaker 1: tastes like ship, but jewels like ship flavored basically flavor.

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Speaker 1: You're still going to smoke it, pigs. I love just

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Speaker 1: stuffing Thanksgiving stuffing, Oh my god, I would funk with

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Speaker 1: stuffing so hard. I don't even need to have Naked Team, Like,

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Speaker 1: no one wants to eat carbs. You just vade the stuffing,

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Speaker 1: zero carves, boom done. There it is. But how would

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Speaker 1: they get the flavor? Right? I need some carbs, that's true,

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Speaker 1: you get car How do you how do you vaporize carbs? Right?

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Speaker 1: Like my uh? I think the high water mark for

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Speaker 1: like pilform flavor is probably the jellybelly like popcorn. Yes,

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Speaker 1: everyone of those nailed that. Yeah, like jelly beans where

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Speaker 1: you're just like you you almost have like an out

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Speaker 1: of body experience where you're like, wait, that one tastes

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Speaker 1: like buttered popcorn. Yeah, really really, you've never had that one.

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Speaker 1: I don't like jelly beans because like usually it's not

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Speaker 1: even that the flavors. I didn't know your anti bean Okay, no, no,

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Speaker 1: I I'll you know, experiment here and there. But like

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Speaker 1: back in the day, it was experiment flip a couple

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Speaker 1: of beans, pop a couple of beans. Here? What are

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Speaker 1: we talking about? So now? No, I mean like the

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Speaker 1: flavors wilways just be like watermelon dis flavors I never liked.

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Speaker 1: But now hearing that you're both unanimously you were like,

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Speaker 1: oh yep, it's just where you're like having one. Yeah,

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Speaker 1: it's like a magic trick. It really tastes like it,

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Speaker 1: And I'm sure people are going to be like, you're

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Speaker 1: you're sucking up and there's another one that's better or

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Speaker 1: something like that. The bean heads are coming for you.

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Speaker 1: But where so you have experienced the magic that is

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Speaker 1: the butter popcorn, jelly jelly bell, imagine that in a

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Speaker 1: form that would be delicious? Yeah, what where does jewel

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Speaker 1: fall like with regards to like approximating that, because cucumber

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Speaker 1: is a very really only like the cucumber, and yeah,

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Speaker 1: cucumbers seems easy to replicate, does it. I think the

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Speaker 1: cucumber is good. Yeah, that's my favorite warrant. What is

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Speaker 1: something you think is underwritten? Um? Lately, I've been really

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Speaker 1: getting into cottage cheese. I think it's wildly underrated cheese

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Speaker 1: and I think it has a stigma, probably because like

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Speaker 1: all our moms used to like did on like a

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Speaker 1: slice of tomato for some reason, at least my mom did.

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Speaker 1: So you're like, that's a mom thing. What's going on?

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Speaker 1: I don't, I don't know with that, but like getting

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Speaker 1: back into it, it's so good. It's basically like if

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Speaker 1: it was socially acceptable to eat a bowl of cream cheese.

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Speaker 1: You can't do that because of society. But you can

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Speaker 1: eat a bowl of cottage cheese and every you know,

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Speaker 1: and that's totally fine. Is it bad for you? Like cream?

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Speaker 1: I I don't think. I mean, it's sure. It's like

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Speaker 1: a it has like a weird consistency. There's it's like

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Speaker 1: lumpy issues with cottage. She's are the consistency and then

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Speaker 1: it tastes bad. But I'm saying you've got to revisit it. Okay, Yeah,

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Speaker 1: I might have been colored by my early childhood. That was. Yeah,

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Speaker 1: that was a thing that like everything. It was like

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Speaker 1: the seventies head put everything into a jello mold, and

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Speaker 1: then the eighties had just cottage. If you eat something

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Speaker 1: with cottage cheese, you're going to be healthy. And that's

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Speaker 1: the thing. It was like a nineties low fat thing.

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Speaker 1: So a lot of the cottage cheese we tried his

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Speaker 1: kids or were exposed to it was low fat milk.

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Speaker 1: I'm talking full fat cottage cottage cheese. It's delicious. What

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Speaker 1: you eat. I do savor. I'm a savory guy, so

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Speaker 1: I'm a savory daddy. As we've covered, I do black

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Speaker 1: pepper and olive oil on what on? What kind of

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Speaker 1: delivery mechanism? Just in a bowl, straight up spooning it in.

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Speaker 1: It's so good. And I know, black pepper and olive

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Speaker 1: oil on cottage sheet. Now that might be the thing

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Speaker 1: that I was missing. I was always thinking of it

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Speaker 1: as a sweet exactly like akin to you, we're going savory.

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Speaker 1: I mean you can do like fruit, like a yogurt,

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Speaker 1: like a berry situation cold when you eat it, Yes,

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Speaker 1: right out of the fridge, it's refreshing. It's refreshing. Cheese, Yeah,

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Speaker 1: I mean it's I I try it, try it out.

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Speaker 1: I've had given it so much wrong about cottage, the temperature.

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Speaker 1: I'm here to help. You don't want you don't want to.

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Speaker 1: You don't want lukewarm cheese. Nobody wants that. Speak for yourself,

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Speaker 1: actually love warm cheese. So like to have somebody hold

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Speaker 1: it in their mouth for a little bit, just keep it,

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Speaker 1: bring it right up to body is a room temp alright,

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Speaker 1: room timber body temp. Uh. And finally, what is a myth?

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

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Speaker 1: I get into this discussion when I have a few drinks,

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Speaker 1: amount of party and someone brings it up. I've had

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Speaker 1: this argument so many times, but I'm here to have

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Speaker 1: it yet again. Different types of alcohol do not affect

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Speaker 1: you differently. It's not true. It's never been true. Everybody

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Speaker 1: thinks it, and it's just wrong. Ethanol is ethanol. It's

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Speaker 1: the same in any intoxicating beverage, wine, beer, liquor whatever.

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Speaker 1: It's processed by your body exactly the same. The only

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Speaker 1: thing that changes is the rate of absorption, which is

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Speaker 1: mostly affected by how much food you have in your stomach,

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Speaker 1: because alcohol immediately crosses in your blood screen, So, uh,

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Speaker 1: what you having your stomach actually is the biggest factor

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Speaker 1: for how fast and how drunk you get and how

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Speaker 1: fast you get drunk. But does it affect hangovers because

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Speaker 1: in my no, it doesn't. Doesn't. There's no physiological basis

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Speaker 1: for different types of alcohol being broke. They're they're all

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Speaker 1: broken down exactly the same. Alcohol is metabolizing your liver,

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Speaker 1: doesn't matter what it's in it's It's metabolized exactly the same,

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Speaker 1: no matter the source. But there is the question of

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Speaker 1: the placebo effect, because we all know the effect is real.

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Speaker 1: People can take a pill that does nothing and actually

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Speaker 1: get better because they think they're going to get better.

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Speaker 1: So if you go into drinking tequila thinking, oh, I'm

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Speaker 1: gonna get crazy because I'm drinking tequila, then you know,

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Speaker 1: you might get crazy because you certain but there's no

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Speaker 1: physiological basis. But you know, we have to allow for

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Speaker 1: a lot of um. Strip clubs don't serve tequila for that. Well,

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Speaker 1: you know what it is wildness that in a spires

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Speaker 1: out of the rate of absorption has to do with

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Speaker 1: ways that you take it in. So wine, if you're

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Speaker 1: sipping it, you're gonna absorb a lot slower than if

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Speaker 1: you're taking it tequila shot. A lot of people have

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Speaker 1: a night in college or when they're young where they

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Speaker 1: do some shots of tequila. They get hammered because they're

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Speaker 1: doing shots, and then they're like, tequila makes me wild.

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Speaker 1: It's like, no, just taking shots gets you very drunk

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Speaker 1: because you're taking a lot. Take a shot at anything,

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Speaker 1: you're gonna get drunk. Huh. I've heard that vodka gives

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Speaker 1: less hangover, so that is there's a There's something called conjiners,

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Speaker 1: which are in dark alcohol, which comes from the wood.

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Speaker 1: You know, whiskey is brown because it's aged in barrels

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Speaker 1: whiskey comes out of the still, it's clear, it's aged,

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Speaker 1: and it mellows the flavor. So there are people who

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Speaker 1: are um congers. So that is a factor if you're

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Speaker 1: drinking clear alcohol versus a dark alcohol. So more broadly,

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Speaker 1: it's the idea that alcohol is processed the same, no

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Speaker 1: matter what. And then then we get into these variables

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Speaker 1: underneath the coiner could affect your hang over, not how

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Speaker 1: drunk drunk would act while you're drunk. There's not different

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Speaker 1: types of drunk. I got on a whiskey drunk last

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Speaker 1: night and can't be trusted for what happened. And you know,

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Speaker 1: it's it's fascinating, and there's actually not a lot of

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Speaker 1: hard data about it because it's like I guess scientists aren't,

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Speaker 1: you know, devoting to stuff that's important. It's the perfectly

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Speaker 1: to drink, But it is. It is fascinating, and it

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Speaker 1: is people have all these preconceived notions about how they

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Speaker 1: act on different alcohol. It's fascinating. Yeah, um gin makes

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Speaker 1: me sad. It's like you might just be sad guy.

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Speaker 1: Well yeah, and I'm sure there's also like complex issues

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Speaker 1: because you're taking a psychoactive substance and then you know,

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Speaker 1: bringing in all your preconceived notions about what that substance

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Speaker 1: does to you, the power of the mind, and then

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Speaker 1: also yeah placebo effect, and also you know, like what

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Speaker 1: what your experiences are. I've had this argument drunk at

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Speaker 1: a party so many times, like you're romance science isn't there, right,

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Speaker 1: But yeah, it's a fascinating subjectle around it is. All right,

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Speaker 1: let's talk about ghost kitchens. Okay, if you ever use

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Speaker 1: you see him a lot on these delivery apps like

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Speaker 1: seamless uber Eats. There's this whole thing where it'll be

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Speaker 1: seemed like seemingly a restaurant you've never heard of, but

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Speaker 1: they're offering you all kinds of like food out of

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Speaker 1: this thing. So that this idea of a virtual kitchen. Basically,

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Speaker 1: a restaurant has a lot of overhead because you have

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Speaker 1: dining guests and you're you're really like your rent and stuff,

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Speaker 1: all factors in the opening a restaurant, whereas a virtual

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Speaker 1: kitchen is purely built to just send food out of

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Speaker 1: there's no dyning in guests. It's just there to be

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Speaker 1: a kitchen that churns out all kinds of food. And

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Speaker 1: because a lot of these food delivery apps have become

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Speaker 1: so popular. A lot of people are like, maybe my

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Speaker 1: business makes more sense just to be sending food out

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Speaker 1: than actually having dying in guests. And this has become

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Speaker 1: the idea of the ghost kitchen. Virtual kitchen has gotten

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Speaker 1: more and more popular. Um, but I think one of

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Speaker 1: the reasons is a flexibility in like the kind of

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Speaker 1: rent you have to pay because you don't need a storefront.

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Speaker 1: And also you can cook like all kinds of cuisine

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Speaker 1: out of one kitchen, Like you can have like there's

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Speaker 1: a spot by me that is normally a Thai restaurant,

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Speaker 1: but they also send wings out of there too, and

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Speaker 1: like flatbreads. Yeah, and it's just it's a smarter way

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Speaker 1: to like use your facilities. But now it's like it's

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Speaker 1: getting to the point where the rent slow, these buildings

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Speaker 1: are these businesses are becoming more popular. People are like, Okay,

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Speaker 1: how do we like also go into places that aren't

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Speaker 1: being used and just start building out a lot of

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Speaker 1: test kitchen. So there's like SB who has a lot

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Speaker 1: of restaurants, hospitality company, and then this other retail developer

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Speaker 1: called the Simon Property Group, and there's like a hotel company.

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Speaker 1: They're basically, Oh, they do fantastic, so we're all the same.

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Speaker 1: And the ghost kitchen big ghost kitchen. So they're planning

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Speaker 1: on opening like two hundred delivery only kitchens by the

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Speaker 1: end of next year. And they're looking at places like

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Speaker 1: unused retail spaces, storage areas, mall parking lots, abandoned is

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Speaker 1: so bleak. They're just like here, get in there. You're

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Speaker 1: they're plotting out your conspiracy and next door they're making

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Speaker 1: pad tie. I'm trying to do my red yarn in here, guys,

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Speaker 1: what is that? What's is there like a ghost kitchen

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Speaker 1: success story? That's like they started out in a seward.

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Speaker 1: I mean the first time I read about like a

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Speaker 1: year or two ago, it was like I was reading

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Speaker 1: about restaurants in San Francisco that we're basically the rent

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Speaker 1: was so high for them, where like we still get

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Speaker 1: a lot of orders, but we don't. There's it's hard

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Speaker 1: for us to survive as a dying in location. Labor

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Speaker 1: is a big part of the expenses when you're doing restaurants.

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Speaker 1: So it's like, you know, ghost kitchen model makes sense

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Speaker 1: if you can do it, depending on yeah and what

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Speaker 1: it is. And I think you know, it's more and

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Speaker 1: more like I just see restaurants I've never just heard of.

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Speaker 1: It's like, what is this place? Yeah, you're like I

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Speaker 1: don't know. Suddenly like I need to trust, Like pizza

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Speaker 1: and schmarm go on. When the when the tie restaurant

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Speaker 1: by earplace sends out or like averatise their wings and

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Speaker 1: their flatbread, do they do it under a different like yeah,

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Speaker 1: it will, and then there'll be a note saying like

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Speaker 1: it's actually in partnership or something with this other restaurant.

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Speaker 1: I've also heard about. Someone was telling about like restaurant poaching,

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Speaker 1: where a customer called this restaurant was like, oh, like,

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Speaker 1: where's my order? I ordered? And they were like we don't.

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Speaker 1: We don't like do orders, Like there's a dining on

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Speaker 1: the restaurant And apparently someone had taking that restaurant's name

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Speaker 1: was using it on these apps with a totally different menu,

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Speaker 1: just I guess because of the name recognition. So then

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Speaker 1: the guy called the actual restorers like where's my order?

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Speaker 1: They're like what are you talking about? Like I ordered

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Speaker 1: from you know, on seamless or whatever. So now there's

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Speaker 1: like weird ship going on out there. I'm sure there's

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Speaker 1: all these like shadow economies that are just popping up

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Speaker 1: everywhere because of how fast technologies. And I just like

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Speaker 1: the idea of an old abandoned mall food court just

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Speaker 1: brought to life, but all the retail spaces not being used.

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Speaker 1: All right, we're gonna take a quick break. We'll be

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Speaker 1: right back. And we're back, and let's talk briefly about impeachment.

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Speaker 1: I'm talking about not a whole lot of updates to

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Speaker 1: where we were, um yesterday. Uh, there there might be some,

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Speaker 1: but as of this recording, not not a whole lot new.

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Speaker 1: Other than that, you know, the Senate has officially concluded that, uh,

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Speaker 1: he's basically guilty of what the Democrats accused him of. That.

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Speaker 1: I'm shocked personally. I can't believe that was Lamar Alexander's decision.

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Speaker 1: You know, yeah, he did it, but it's not bad

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Speaker 1: enough to impeach. And then Marco Rubio said, uh, it

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Speaker 1: might be bad enough to impeach, but it's not bad

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Speaker 1: enough to remove him from office. So everyone knows it's

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Speaker 1: bad now, right, that's the most that's the most Republicans

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Speaker 1: have moved through the entire process when being na NA,

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Speaker 1: Yeah that was bad, right, But nothing else, but but

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Speaker 1: shrug emoji. Yes, shrug emoji is is the official stance

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Speaker 1: of the GOP right um, and Trump is still on

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Speaker 1: his perfect phone call ship. So that's you know, three

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Speaker 1: different standards. It really is funny to describe a phone

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Speaker 1: call is perfect. Like Trump has his moments of being

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Speaker 1: unintentionally like hilarious, like NonStop only time so disarming and

419
00:24:41,600 --> 00:24:45,280
Speaker 1: like difficult about it is He's just NonStop like the

420
00:24:45,560 --> 00:24:47,440
Speaker 1: we're going to talk about the super Bowl thing, but

421
00:24:47,520 --> 00:24:54,040
Speaker 1: like unbelievable. Michael Scott couldn't do it better. I don't

422
00:24:54,080 --> 00:24:58,199
Speaker 1: think you could. I would ever describe a phone call

423
00:24:58,320 --> 00:25:00,919
Speaker 1: is perfect. Maybe I was in sick grade and it

424
00:25:01,000 --> 00:25:04,199
Speaker 1: was about telling a girl I liked her, or like

425
00:25:05,680 --> 00:25:07,719
Speaker 1: or be like will you go to a danceinglin? It

426
00:25:07,800 --> 00:25:11,959
Speaker 1: was perfect? It was said, yes, I hung up immediately.

427
00:25:13,000 --> 00:25:15,280
Speaker 1: What are you watching Cops on Fox right now? Yeah?

428
00:25:15,560 --> 00:25:18,400
Speaker 1: I'm watching too, Like that's all I don't understand. Again,

429
00:25:18,480 --> 00:25:20,640
Speaker 1: We've also talked about this plenty of times that how

430
00:25:20,680 --> 00:25:24,119
Speaker 1: could a phone call be perfect? But you know this

431
00:25:24,200 --> 00:25:28,640
Speaker 1: is where we are. Yeah, so they're essential. Essentially, they're saying,

432
00:25:28,720 --> 00:25:31,480
Speaker 1: just let the people vote in the election, that he

433
00:25:31,840 --> 00:25:36,120
Speaker 1: is they now admit clearly guilty of cheating at by

434
00:25:36,200 --> 00:25:39,760
Speaker 1: abusing his presidential power in a manner that exceeds Watergate,

435
00:25:39,880 --> 00:25:43,119
Speaker 1: by the way, so which is supposed to be like

436
00:25:43,160 --> 00:25:45,760
Speaker 1: their party's great shame. Water Gate was like quaint now

437
00:25:45,920 --> 00:25:50,640
Speaker 1: by modern standards, like oh yeah, they took up some files, Um,

438
00:25:50,720 --> 00:25:54,800
Speaker 1: you treaded him. Yeah. The whole thing with this, though, too,

439
00:25:54,880 --> 00:25:59,679
Speaker 1: is again the the actions of the Republicans is just

440
00:26:00,840 --> 00:26:03,200
Speaker 1: I don't even know what planet we're on anymore. Because

441
00:26:03,240 --> 00:26:05,320
Speaker 1: here's the thing. Even if you're if they're all willing

442
00:26:05,359 --> 00:26:08,400
Speaker 1: to say yeah, that's wrong, then what are you gonna

443
00:26:08,400 --> 00:26:10,800
Speaker 1: do to do then do something right? It can't just

444
00:26:11,000 --> 00:26:15,440
Speaker 1: end with yeah, yeah that's wrong, end of like are

445
00:26:15,440 --> 00:26:17,640
Speaker 1: there you know, there have been talks of adding some

446
00:26:17,720 --> 00:26:20,720
Speaker 1: kind of like amendments something to say that, oh, actually

447
00:26:20,760 --> 00:26:24,359
Speaker 1: a president cannot do this any get it. That's basically

448
00:26:24,400 --> 00:26:26,800
Speaker 1: what they're saying, Okay, we get it, but what he

449
00:26:26,840 --> 00:26:29,280
Speaker 1: did is wrong. Yeah, But that's where you have to say,

450
00:26:29,280 --> 00:26:32,240
Speaker 1: even as like the mechanics of leadership, if you're seeing

451
00:26:32,359 --> 00:26:36,240
Speaker 1: something that is you know, uh, a deficiency that's occurring

452
00:26:36,280 --> 00:26:39,280
Speaker 1: within the system, how are you going to address that? Obviously,

453
00:26:39,320 --> 00:26:42,240
Speaker 1: that's uh, that's very idealistic for me to think that

454
00:26:42,280 --> 00:26:44,280
Speaker 1: they would do something about it, given the all kinds

455
00:26:44,320 --> 00:26:46,320
Speaker 1: of issues we're looking at. But if they wanted to

456
00:26:46,359 --> 00:26:49,560
Speaker 1: have some sense or some semblance of like like doing

457
00:26:49,600 --> 00:26:53,879
Speaker 1: something having their taking their oaths seriously, their oaths seriously,

458
00:26:54,280 --> 00:26:56,840
Speaker 1: that you would say something like, yeah, that's wrong and

459
00:26:56,880 --> 00:26:59,720
Speaker 1: we should do this to that oath breakers the lot

460
00:26:59,760 --> 00:27:05,400
Speaker 1: of right. Um. The mainstream media is basically covering this

461
00:27:05,560 --> 00:27:09,600
Speaker 1: or where over the weekend, covering the fact that the

462
00:27:09,600 --> 00:27:14,119
Speaker 1: Republicans voted to not here from any witnesses as the

463
00:27:14,160 --> 00:27:19,000
Speaker 1: witness vote tanking, which suggests like Democrats failed to do

464
00:27:19,080 --> 00:27:23,639
Speaker 1: something like they Yeah, well, it's politics and one side

465
00:27:23,680 --> 00:27:27,040
Speaker 1: one so I like that phrasing. It's like like a

466
00:27:27,119 --> 00:27:30,360
Speaker 1: movie at the box office, like this vote. I don't

467
00:27:30,359 --> 00:27:34,520
Speaker 1: know this about bomb man, I don't know what. Yeah, anyway,

468
00:27:34,560 --> 00:27:38,760
Speaker 1: what's next? What else? It's got all the stormy daniels, Yeah,

469
00:27:39,000 --> 00:27:42,480
Speaker 1: as opposed to one side just changing the rules of

470
00:27:42,520 --> 00:27:45,160
Speaker 1: the argument at the end of being like, yeah, but none,

471
00:27:45,280 --> 00:27:48,119
Speaker 1: none of it matters. Again, the stakes are it's you know,

472
00:27:48,280 --> 00:27:52,160
Speaker 1: it's half I'm afraid of Trump's base. Also, we the

473
00:27:52,200 --> 00:27:56,800
Speaker 1: Republicans know that the clock is running on, like how

474
00:27:56,840 --> 00:27:59,639
Speaker 1: long they can pretend like the clock is running on

475
00:27:59,680 --> 00:28:03,119
Speaker 1: how long they can legitimately contain their power. And I

476
00:28:03,160 --> 00:28:05,520
Speaker 1: don't know, maybe that actually the clock has run out.

477
00:28:05,560 --> 00:28:07,200
Speaker 1: Actually when you look at all the actions, when you

478
00:28:07,400 --> 00:28:09,520
Speaker 1: look at all the you know, restricting voter laws and

479
00:28:09,520 --> 00:28:12,720
Speaker 1: things like that and purging voter rules. But this is this,

480
00:28:12,720 --> 00:28:14,959
Speaker 1: this whole thing, all of this is motivated out of

481
00:28:15,000 --> 00:28:17,680
Speaker 1: like this is it, like we can't if we give

482
00:28:17,720 --> 00:28:20,720
Speaker 1: them this, then we're done. I also think that like

483
00:28:21,040 --> 00:28:23,000
Speaker 1: if he was actually I mean, we all knew he's

484
00:28:23,040 --> 00:28:26,080
Speaker 1: never gonna be removed, but like just the whole impeachment thing,

485
00:28:26,280 --> 00:28:28,320
Speaker 1: like I haven't really been paying attention to it because

486
00:28:28,320 --> 00:28:30,240
Speaker 1: it's like I think I knew at the end of

487
00:28:30,280 --> 00:28:31,639
Speaker 1: the road he wasn't gonna be removed. I was like

488
00:28:31,640 --> 00:28:34,200
Speaker 1: why I pay attention. But also like for Trump's base,

489
00:28:34,320 --> 00:28:36,280
Speaker 1: like he could he would be impeached like that, they're

490
00:28:36,280 --> 00:28:38,880
Speaker 1: not going to turn against him, like if anything, that

491
00:28:39,000 --> 00:28:43,680
Speaker 1: he's like a martyr. Now there's the you know, crooked democrats,

492
00:28:43,800 --> 00:28:45,960
Speaker 1: you know, make this unspoken thing in the mainstream media

493
00:28:46,000 --> 00:28:48,360
Speaker 1: where they talk about how much of a waking nightmare

494
00:28:48,440 --> 00:28:50,720
Speaker 1: would be if he were removed exactly what the we

495
00:28:50,760 --> 00:28:53,200
Speaker 1: have President Pence? Like you know, right, But there I

496
00:28:53,760 --> 00:28:56,680
Speaker 1: think they're like suggesting, and I think it would actually

497
00:28:56,680 --> 00:29:01,160
Speaker 1: happen that there would be like arms, oh my god, people, Yeah,

498
00:29:01,280 --> 00:29:03,280
Speaker 1: like they would definitely get think about what the Q

499
00:29:03,480 --> 00:29:07,600
Speaker 1: supporters would do. Um, but it's like that's gonna happen,

500
00:29:08,480 --> 00:29:12,680
Speaker 1: like if you anyway, it's gonna happen anyway. It's gonna

501
00:29:13,040 --> 00:29:15,560
Speaker 1: like imagine at some point he will no longer be

502
00:29:15,680 --> 00:29:18,440
Speaker 1: president and then what what happens to Mago world when

503
00:29:18,520 --> 00:29:21,520
Speaker 1: they're they're looking down? What happens when he during the

504
00:29:21,560 --> 00:29:26,120
Speaker 1: general election is like the Democrats hacked the voting machines,

505
00:29:26,440 --> 00:29:28,920
Speaker 1: you know something like that. Yeah, and also not to

506
00:29:28,960 --> 00:29:34,200
Speaker 1: mention the huge risk of life that we incur having

507
00:29:34,200 --> 00:29:37,840
Speaker 1: a president that is this incompetent, Like at the head

508
00:29:37,880 --> 00:29:42,120
Speaker 1: he's falling apart army, He is falling apart mentally, but

509
00:29:42,200 --> 00:29:45,800
Speaker 1: he's crushing it at those rallies. Dude, he has like,

510
00:29:45,920 --> 00:29:48,960
Speaker 1: have you so that chunk he has about the dishwashers

511
00:29:49,000 --> 00:29:51,160
Speaker 1: and the toilets, it's like standoff, he has like a

512
00:29:51,200 --> 00:29:55,200
Speaker 1: five minute chunk. He goes into that toilet dishwasher chunk

513
00:29:55,240 --> 00:29:58,800
Speaker 1: and it has killed it, folks for ten flushes. People

514
00:29:58,840 --> 00:30:01,800
Speaker 1: are counting along with him like it is wild. He's

515
00:30:01,840 --> 00:30:04,520
Speaker 1: up there murdering. I'm like, wow, I don't like him,

516
00:30:04,520 --> 00:30:06,280
Speaker 1: but I respect the bit. I respect the bit as

517
00:30:06,280 --> 00:30:12,240
Speaker 1: a comedian. And it's just that people take big ships right,

518
00:30:12,440 --> 00:30:17,160
Speaker 1: like an environmentally friendly toilets can't handle it. And then

519
00:30:17,240 --> 00:30:24,600
Speaker 1: he's like me, as your people, my ships are smooth because,

520
00:30:24,640 --> 00:30:26,600
Speaker 1: like I said, I think you should leave now sketch

521
00:30:26,720 --> 00:30:29,200
Speaker 1: where the toilets only got a fart size hole in him.

522
00:30:29,200 --> 00:30:31,760
Speaker 1: These days, he's a huge fan of that show him

523
00:30:32,200 --> 00:30:39,080
Speaker 1: loved him alright. So on the Democratic side, it seems like,

524
00:30:39,720 --> 00:30:42,920
Speaker 1: you know, it's all over. But the caucus thing in Iowa,

525
00:30:43,560 --> 00:30:45,880
Speaker 1: I just said that like Dennis Miller for some reason,

526
00:30:46,720 --> 00:30:50,320
Speaker 1: the caucus singing, Well, I'm not gonna say who I

527
00:30:50,360 --> 00:30:53,640
Speaker 1: think is gonna win because it will probably come back

528
00:30:53,640 --> 00:31:00,480
Speaker 1: and already out the seconds have happened. But Ernie one,

529
00:31:00,640 --> 00:31:03,720
Speaker 1: there was a last second swing to Biden by two

530
00:31:03,840 --> 00:31:07,800
Speaker 1: hundred thousand transit workers or a transit union with two

531
00:31:08,200 --> 00:31:13,040
Speaker 1: thousand people in it, on the basis of electability. They

532
00:31:13,040 --> 00:31:17,320
Speaker 1: went from Bernie Biden um it's just a it's this

533
00:31:17,520 --> 00:31:22,520
Speaker 1: weird recursive like what does it even meet? Like, well, yeah,

534
00:31:22,720 --> 00:31:25,720
Speaker 1: that's the orient You need an abstract argument because on

535
00:31:25,760 --> 00:31:29,040
Speaker 1: the acts you can't really say much. You're like, well,

536
00:31:29,040 --> 00:31:31,680
Speaker 1: what about your vote in the Iraq War? Yeah, what

537
00:31:31,720 --> 00:31:34,840
Speaker 1: about it? But even just the idea that Biden is

538
00:31:34,880 --> 00:31:39,040
Speaker 1: somehow more electable than Bernie, it's like he's his record,

539
00:31:39,480 --> 00:31:42,200
Speaker 1: Like we've already seen what happens when you do an

540
00:31:42,280 --> 00:31:45,800
Speaker 1: establishment candidate with a terrible record and all this stuff

541
00:31:45,800 --> 00:31:48,360
Speaker 1: that you know, Trump can use his fodder, right, you

542
00:31:48,400 --> 00:31:50,960
Speaker 1: can't run someone who he can be like draining in

543
00:31:50,960 --> 00:31:53,040
Speaker 1: the swamp, corruption, all this, He's just gonna do that

544
00:31:53,040 --> 00:31:55,800
Speaker 1: ship again, right. Biden is a huge liability. Can you

545
00:31:55,840 --> 00:32:00,320
Speaker 1: imagine the ammo that like the mandate perceived man endate

546
00:32:00,360 --> 00:32:03,360
Speaker 1: Republicans they would think they have if Biden was elected

547
00:32:03,600 --> 00:32:05,720
Speaker 1: and what that? How that can? I mean, they're they're

548
00:32:05,720 --> 00:32:08,040
Speaker 1: going to be obstructionist with anyone. But like I think

549
00:32:08,040 --> 00:32:10,080
Speaker 1: it was Joni Ernst or one of them was like, oh, yeah,

550
00:32:10,160 --> 00:32:13,120
Speaker 1: well what we'd impeach Biden right away. It's like, oh

551
00:32:13,160 --> 00:32:18,520
Speaker 1: my god, I'm talking about Yeah. I think really I'm

552
00:32:18,560 --> 00:32:21,280
Speaker 1: more the only part of me that would want to

553
00:32:21,320 --> 00:32:24,400
Speaker 1: see a Biden verse Trump election. And it's not because

554
00:32:24,520 --> 00:32:27,120
Speaker 1: I want that reality. I just want to see one debate.

555
00:32:27,280 --> 00:32:31,120
Speaker 1: Oh my god, their brains are coming out of their ears,

556
00:32:31,160 --> 00:32:33,800
Speaker 1: and it's just like I I can't even imagine. I

557
00:32:34,000 --> 00:32:39,320
Speaker 1: like watching Hillary Clinton go up against Trump with the

558
00:32:39,320 --> 00:32:43,120
Speaker 1: future of the country on the line, like almost gave

559
00:32:43,120 --> 00:32:44,760
Speaker 1: me a heart at time. First time. It was like

560
00:32:44,840 --> 00:32:47,960
Speaker 1: the closest I've ever felt like my heart hurt the

561
00:32:48,200 --> 00:32:52,040
Speaker 1: entire night and the entire next day. Like I was like,

562
00:32:52,160 --> 00:32:59,280
Speaker 1: holy shit, because that was like survive a Biden Trump general.

563
00:32:59,320 --> 00:33:02,959
Speaker 1: I don't. I can't do it. I'm just any of this.

564
00:33:04,000 --> 00:33:07,480
Speaker 1: So he will like challenge him to like a fucking

565
00:33:07,480 --> 00:33:10,120
Speaker 1: push up, all right, He'll do it, all right, do it?

566
00:33:10,160 --> 00:33:12,600
Speaker 1: Oh my good lord? Do It'll be like actually, I

567
00:33:12,600 --> 00:33:16,360
Speaker 1: need my running shoes at my two inch flats, my lifts.

568
00:33:16,360 --> 00:33:19,720
Speaker 1: That what's his name for Biden? Is it Sleepy Joe? Yeah?

569
00:33:20,760 --> 00:33:23,920
Speaker 1: And Mabi Mike, I think is the newest one that

570
00:33:23,960 --> 00:33:27,000
Speaker 1: I thought was pretty good. Right. That was Sunday night

571
00:33:27,040 --> 00:33:30,560
Speaker 1: after the super Bowl. He just went on a tear

572
00:33:30,640 --> 00:33:34,320
Speaker 1: about how short Mike Bloomberg is. That was his chosen

573
00:33:34,440 --> 00:33:37,880
Speaker 1: line of attack. The irony because many people talk about

574
00:33:37,920 --> 00:33:40,480
Speaker 1: the weird lifts that Trump wears in his shoes to

575
00:33:40,760 --> 00:33:43,200
Speaker 1: add a couple of inches to his height. Definitely, when

576
00:33:43,200 --> 00:33:45,320
Speaker 1: you see him next to people that are like actually

577
00:33:45,360 --> 00:33:49,520
Speaker 1: six one, you're like, you're six weirdly shaped man? Right? Oh?

578
00:33:49,600 --> 00:33:52,000
Speaker 1: Is he really shorter than people? Say? I didn't realize.

579
00:33:52,120 --> 00:33:56,600
Speaker 1: I mean that's that's so uh yeah, take their height

580
00:33:56,640 --> 00:34:00,320
Speaker 1: and knock two inches off. Anyways, the cock is I

581
00:34:00,600 --> 00:34:06,000
Speaker 1: I went into this week, you know, wondering what, like,

582
00:34:06,080 --> 00:34:07,680
Speaker 1: how do how does it work? I knew it was

583
00:34:07,760 --> 00:34:10,480
Speaker 1: like you could change your vote if like your person

584
00:34:10,560 --> 00:34:13,960
Speaker 1: wasn't getting that much. It's really like the you know

585
00:34:14,040 --> 00:34:17,560
Speaker 1: how the trading floor at the stock exchanges, like live

586
00:34:17,600 --> 00:34:23,040
Speaker 1: action capitalism where people are like bye bye like that

587
00:34:23,120 --> 00:34:27,760
Speaker 1: from that's really all I know from to other movies

588
00:34:27,840 --> 00:34:30,479
Speaker 1: where yeah, they just show cutaways to that. But it's

589
00:34:30,480 --> 00:34:34,920
Speaker 1: like this weird thing that you wouldn't expect to exist

590
00:34:35,040 --> 00:34:39,439
Speaker 1: other than as a dramatization of the system that runs

591
00:34:39,440 --> 00:34:42,279
Speaker 1: our country. Like that's what caucusing feels like. To me.

592
00:34:42,360 --> 00:34:45,040
Speaker 1: It's like, Okay, if you're voting for this person, go

593
00:34:45,280 --> 00:34:48,000
Speaker 1: stand in that corner. If you're voting for this other

594
00:34:48,080 --> 00:34:50,000
Speaker 1: person stand in that corner, and then like if you

595
00:34:50,040 --> 00:34:52,840
Speaker 1: don't have enough people, then they're like, come vote for

596
00:34:52,920 --> 00:34:56,399
Speaker 1: my guy. And like there there was called alignments. Yeah,

597
00:34:56,480 --> 00:35:01,719
Speaker 1: it's right, it's it's like picking teams. Um, well, that's

598
00:35:01,719 --> 00:35:03,680
Speaker 1: the thing that's like also interesting when a lot of

599
00:35:03,680 --> 00:35:07,000
Speaker 1: people look at the polling about it, the polling about

600
00:35:07,040 --> 00:35:09,840
Speaker 1: the caucuses aren't a good indicator of how the caucuses

601
00:35:09,880 --> 00:35:12,279
Speaker 1: go because after that first alignment, right when you you

602
00:35:12,640 --> 00:35:15,960
Speaker 1: corner off, then whoever doesn't get to fifteen percent that

603
00:35:16,080 --> 00:35:19,880
Speaker 1: viability threshold, now you court those people who stood for

604
00:35:19,920 --> 00:35:23,239
Speaker 1: a candidate there, and from there there's like internal dynamics.

605
00:35:23,280 --> 00:35:26,200
Speaker 1: They're like, you know, like where where does the Sanders supporter?

606
00:35:26,239 --> 00:35:28,560
Speaker 1: Where would a Sanders supporter go? If there if Sanders

607
00:35:28,600 --> 00:35:31,200
Speaker 1: didn't hit fift in that first alignement, where does a

608
00:35:31,320 --> 00:35:35,040
Speaker 1: where does a Buddhage supporter go? So it's not it's

609
00:35:35,040 --> 00:35:38,200
Speaker 1: not exactly that you know, Biden or Bernie will always

610
00:35:38,200 --> 00:35:40,799
Speaker 1: get these percentages there, it's just that then from there

611
00:35:40,800 --> 00:35:43,879
Speaker 1: there's these internal dynamics that play too. So there's all

612
00:35:44,040 --> 00:35:46,560
Speaker 1: there's gonna be a lot of shifting and there's so

613
00:35:46,600 --> 00:35:50,080
Speaker 1: many ways that people can get to that threshold. That

614
00:35:50,160 --> 00:35:54,400
Speaker 1: it's a little more complex than I think we all imagine. Yeah,

615
00:35:54,440 --> 00:35:58,239
Speaker 1: I think NPR was pointing out that both Obama and

616
00:35:58,320 --> 00:36:01,480
Speaker 1: Jimmy Carter used when in Iowa to like sort of

617
00:36:01,480 --> 00:36:08,120
Speaker 1: solidify themselves as front runners. Um, it's just it's it's

618
00:36:08,160 --> 00:36:09,960
Speaker 1: like I was saying with the horse race thing of

619
00:36:10,040 --> 00:36:14,759
Speaker 1: like people changing allegiances based on who's electable, Like, this

620
00:36:14,840 --> 00:36:17,440
Speaker 1: is not a diverse group of voters. This is not

621
00:36:17,520 --> 00:36:21,279
Speaker 1: a representative group of voters, like when it compared to

622
00:36:21,320 --> 00:36:23,600
Speaker 1: the rest of the country. The only thing it has

623
00:36:23,680 --> 00:36:27,080
Speaker 1: is that it controls the media narrative, and so the

624
00:36:27,120 --> 00:36:31,279
Speaker 1: media is again it's just like this self reflective thing

625
00:36:31,320 --> 00:36:34,040
Speaker 1: where it's like, well, he won the first one, so

626
00:36:34,160 --> 00:36:36,840
Speaker 1: we're going to cover it as if he's like the

627
00:36:36,880 --> 00:36:41,040
Speaker 1: winner or you know, it establishes the narrative going forward. Right,

628
00:36:41,239 --> 00:36:44,000
Speaker 1: But it's like that, I don't know, it's just also

629
00:36:44,760 --> 00:36:51,840
Speaker 1: system bad. Does it need a refresh update? Right? Uh? Anyways,

630
00:36:52,080 --> 00:36:54,000
Speaker 1: but shout out to all those people who are going

631
00:36:54,080 --> 00:36:57,359
Speaker 1: back to Iowa two cockies, because there are a lot

632
00:36:57,400 --> 00:36:59,560
Speaker 1: of people I know, like even in l A, who

633
00:36:59,560 --> 00:37:02,960
Speaker 1: are like I kept my residency there, so I can

634
00:37:03,040 --> 00:37:06,479
Speaker 1: fucking go and Caucus. And yeah, there are people who

635
00:37:06,520 --> 00:37:10,879
Speaker 1: I know like are like there are funds to help

636
00:37:10,920 --> 00:37:13,480
Speaker 1: people go back to Caucus even where they're like or

637
00:37:13,520 --> 00:37:16,200
Speaker 1: people are driving people to Iowa to be like, hey,

638
00:37:16,600 --> 00:37:18,680
Speaker 1: you still got your residence there. Let's get you there.

639
00:37:18,760 --> 00:37:20,960
Speaker 1: Let's get you in the right in the right corner. Yeah.

640
00:37:21,040 --> 00:37:24,239
Speaker 1: So the thing we talked about with like the room

641
00:37:24,280 --> 00:37:26,239
Speaker 1: where people are standing in different corners based on the

642
00:37:26,840 --> 00:37:31,600
Speaker 1: boarding and yeah, the sorting hats alignment. Yeah, there will

643
00:37:31,640 --> 00:37:37,160
Speaker 1: be one thousand, six and seventy nine of those. And uh,

644
00:37:37,280 --> 00:37:40,680
Speaker 1: there will also be satellite caucuses sixty in the United States,

645
00:37:40,680 --> 00:37:44,799
Speaker 1: twenty four international, uh, with people from Iowa who just

646
00:37:44,920 --> 00:37:49,359
Speaker 1: can't get back to Iowa. And um, yeah, there will

647
00:37:49,360 --> 00:37:51,719
Speaker 1: be a first round of votes and then if you

648
00:37:51,800 --> 00:37:56,520
Speaker 1: are determined not to have reached, if your group hasn't

649
00:37:57,600 --> 00:38:03,600
Speaker 1: reached the fifteen percent necessary, uh, you will be changed

650
00:38:03,640 --> 00:38:06,279
Speaker 1: to somebody else and have to knife fight them. Like

651
00:38:06,360 --> 00:38:09,880
Speaker 1: an addic video but a circle form, right, Well, you

652
00:38:09,920 --> 00:38:12,759
Speaker 1: know what to do. One of the guys who's in

653
00:38:12,800 --> 00:38:15,279
Speaker 1: that fight are in that video is the guy from

654
00:38:15,280 --> 00:38:19,799
Speaker 1: New York Undercover. Yeah, Michael whatever, his name is de Yeah,

655
00:38:19,840 --> 00:38:21,640
Speaker 1: he's like he was a dancer back in the day.

656
00:38:22,200 --> 00:38:23,759
Speaker 1: You can see it in the way it moves just

657
00:38:23,800 --> 00:38:26,200
Speaker 1: a little, you know, just a little tidbit for my

658
00:38:26,280 --> 00:38:29,440
Speaker 1: New York undercover friends from the Michael de Lorenzo that's

659
00:38:29,440 --> 00:38:32,680
Speaker 1: his name. Turns out, yeah, that knife fight was not

660
00:38:33,160 --> 00:38:37,800
Speaker 1: accurate to how knife real knife fights actually generations perception.

661
00:38:40,640 --> 00:38:45,719
Speaker 1: I mean, I'm surprised no have been like, let me

662
00:38:45,719 --> 00:38:47,520
Speaker 1: just stab you the funk out of your arm, right,

663
00:38:47,840 --> 00:38:50,000
Speaker 1: that was the West Side story ship. Yeah, they have

664
00:38:50,040 --> 00:38:54,040
Speaker 1: good course strength, four years of tap. After the first round,

665
00:38:54,239 --> 00:39:00,680
Speaker 1: you are able to Yeah, after the first sorting they uh,

666
00:39:00,760 --> 00:39:02,920
Speaker 1: you're able to like switch sides, go to one of

667
00:39:02,920 --> 00:39:06,239
Speaker 1: the groups that has more there's like realignment groups that

668
00:39:06,360 --> 00:39:11,760
Speaker 1: then uh will express a preference. It's all they're reporting

669
00:39:11,800 --> 00:39:14,560
Speaker 1: you to be like, hey, you're you're Tulsi person. Why

670
00:39:14,560 --> 00:39:16,960
Speaker 1: don't come over here? Right there, they're waving you across

671
00:39:17,000 --> 00:39:19,560
Speaker 1: the right, Okay, come over here. That's happening live in

672
00:39:19,600 --> 00:39:22,799
Speaker 1: the room. Yeah, that's like a thing that is illegal

673
00:39:23,040 --> 00:39:26,920
Speaker 1: in other voting situations, Like you're you're not allowed to

674
00:39:27,280 --> 00:39:31,200
Speaker 1: try to influence somebody's decision as they're approaching the polling.

675
00:39:31,280 --> 00:39:34,600
Speaker 1: This is like you step into the voting booth and

676
00:39:34,800 --> 00:39:37,920
Speaker 1: there are a hundred different people trying to pull you

677
00:39:38,520 --> 00:39:41,319
Speaker 1: into like one side or the other. It's just and

678
00:39:41,360 --> 00:39:45,520
Speaker 1: there's a lot of people that are still undecided going

679
00:39:45,560 --> 00:39:49,840
Speaker 1: into this situation, which I don't know how you're undecided

680
00:39:49,880 --> 00:39:52,760
Speaker 1: at this point. Yeah, it's just like, especially in Iowa,

681
00:39:52,800 --> 00:39:56,080
Speaker 1: anyone who's undecided like scares me. I'm like, I mean,

682
00:39:56,280 --> 00:39:57,880
Speaker 1: I guest if you just like don't pay attention to

683
00:39:57,880 --> 00:39:59,960
Speaker 1: politics at all and you're just kind of like disengage.

684
00:40:00,040 --> 00:40:02,440
Speaker 1: But like you know, if you're in Iowa, there's so

685
00:40:02,600 --> 00:40:05,120
Speaker 1: much focus. They're all there. It's just like, how have

686
00:40:05,200 --> 00:40:11,120
Speaker 1: you not made a decision? Yeah, it's weird. Well, it

687
00:40:11,160 --> 00:40:14,279
Speaker 1: turns out we're all okay because children's books are here

688
00:40:14,320 --> 00:40:21,600
Speaker 1: to save us. So our writer J M McNabb has

689
00:40:22,239 --> 00:40:24,400
Speaker 1: has a take my hands off the wheel, I can

690
00:40:24,440 --> 00:40:29,280
Speaker 1: stop caring. Uh. So, one of our writers, Jam McNabb

691
00:40:29,400 --> 00:40:34,600
Speaker 1: has a son who is in junior kindergarten and they

692
00:40:34,600 --> 00:40:36,960
Speaker 1: pick a book once a week at the school library

693
00:40:37,360 --> 00:40:39,600
Speaker 1: and the one he picked was called Bully, and it

694
00:40:39,719 --> 00:40:43,560
Speaker 1: was about a frog with a bunch of wilting flowers

695
00:40:43,600 --> 00:40:47,360
Speaker 1: for hair that were are sort of orange ish. And

696
00:40:47,560 --> 00:40:53,080
Speaker 1: it turns out it is explicitly influenced by Trump, and

697
00:40:53,360 --> 00:40:58,840
Speaker 1: it's a it's a big metaphor pro Trump. Yeah, yeah, exactly,

698
00:40:59,400 --> 00:41:03,680
Speaker 1: the most flowers frog. Look at this frog kick every

699
00:41:03,719 --> 00:41:06,399
Speaker 1: other frog's ass, go with a winner. Look at big

700
00:41:06,440 --> 00:41:10,360
Speaker 1: my frog feed are um. But yeah, there's so he

701
00:41:10,440 --> 00:41:13,120
Speaker 1: kind of did some research and there there are a

702
00:41:13,160 --> 00:41:18,560
Speaker 1: bunch of different, sort of ideologically influenced children's books being published.

703
00:41:18,920 --> 00:41:24,120
Speaker 1: In two thousand eighteen, Scholastic published a book called President

704
00:41:24,160 --> 00:41:28,520
Speaker 1: Donald Trump as part of their Rookie Biography series, and

705
00:41:28,719 --> 00:41:31,960
Speaker 1: uh it, you know, it was just a very straightforward

706
00:41:32,320 --> 00:41:35,239
Speaker 1: book that was like, he became a president, millions of

707
00:41:35,280 --> 00:41:39,399
Speaker 1: Americans are counting on to improve their lives. And there

708
00:41:39,560 --> 00:41:42,880
Speaker 1: was this yeah and it worked out. I mean because

709
00:41:43,080 --> 00:41:45,480
Speaker 1: if you were to be honest about it, it would

710
00:41:45,520 --> 00:41:48,880
Speaker 1: be too explicit for a children's books. It's like, he

711
00:41:48,920 --> 00:41:52,480
Speaker 1: has been credibly accused of sexual assault. Yeah, what do

712
00:41:52,520 --> 00:41:55,000
Speaker 1: you do about that? They're gonna have enough time in

713
00:41:55,000 --> 00:41:58,279
Speaker 1: their life when they're like scared and in pain. Let

714
00:41:58,400 --> 00:42:00,440
Speaker 1: let the children just be children for a bit. I

715
00:42:00,480 --> 00:42:03,120
Speaker 1: just don't make the book, says a poem about Donald Trump.

716
00:42:03,200 --> 00:42:06,760
Speaker 1: His buildings reached into the sky. His businesses just grew

717
00:42:06,800 --> 00:42:10,640
Speaker 1: and grew. Then Trump became our president. People wanted something

718
00:42:10,719 --> 00:42:18,680
Speaker 1: new the end. Yeah, wow wow, wow wow, his businesses

719
00:42:18,800 --> 00:42:22,920
Speaker 1: just grew and grew. Uh. There's also the pumpkin and

720
00:42:22,960 --> 00:42:26,600
Speaker 1: the pants suit. So that this is a story that

721
00:42:26,760 --> 00:42:32,360
Speaker 1: is wildly um but discouraging to me, this is a

722
00:42:32,480 --> 00:42:35,080
Speaker 1: ridiculous the cover art we're looking at the pumpkin and

723
00:42:35,120 --> 00:42:38,040
Speaker 1: the pants suit is It's just it's really something, folks

724
00:42:38,200 --> 00:42:41,200
Speaker 1: mind altering. I don't want to see that they somehow

725
00:42:41,280 --> 00:42:45,560
Speaker 1: made Trump actually like a wrinkled pumpkin with weird eyebrows.

726
00:42:45,600 --> 00:42:50,439
Speaker 1: And I'm I'm guessing they've reduced Hillary to a pant suit. Yes, yes,

727
00:42:50,520 --> 00:42:54,120
Speaker 1: look we're still gonna be in like forty years. These

728
00:42:54,200 --> 00:42:56,160
Speaker 1: kids are going to have time to go through this paint.

729
00:42:56,360 --> 00:42:58,760
Speaker 1: Don't do it to them now. Let them just play

730
00:42:58,800 --> 00:43:02,880
Speaker 1: for a little bit before it descends upon them. Liza

731
00:43:03,000 --> 00:43:07,520
Speaker 1: Jane and the Dragon where a dragon uh with an

732
00:43:07,520 --> 00:43:11,560
Speaker 1: orange main is hired to be Liza's new parents, and

733
00:43:11,600 --> 00:43:15,480
Speaker 1: then she realizes that the dragon kind of sucks the

734
00:43:15,640 --> 00:43:19,920
Speaker 1: lying Wait, I'm sorry, King was hired to be a

735
00:43:19,960 --> 00:43:24,279
Speaker 1: new dragon. Yeah, hires hires a dragon. Is that like

736
00:43:24,320 --> 00:43:27,000
Speaker 1: a job opening where you're like, all right, dragon, you're

737
00:43:27,080 --> 00:43:29,520
Speaker 1: hired to play my father. You don't need like a

738
00:43:29,600 --> 00:43:32,800
Speaker 1: subtle analogy to teach children to hate the things you hate.

739
00:43:32,840 --> 00:43:35,359
Speaker 1: That's the point of having children. Teach them to hate

740
00:43:35,360 --> 00:43:36,840
Speaker 1: the things that you hate. And it's very easy to

741
00:43:36,880 --> 00:43:39,200
Speaker 1: just tell them this sucks and we all hate it

742
00:43:39,200 --> 00:43:41,040
Speaker 1: and they're like, okay, got it. They're screwed up, and

743
00:43:41,040 --> 00:43:42,560
Speaker 1: the yeah, they're screwed up her life. They spend the

744
00:43:42,560 --> 00:43:44,320
Speaker 1: rest of her life trying to undo the pas of

745
00:43:44,360 --> 00:43:47,040
Speaker 1: their parents. And that, you know, we have a good system.

746
00:43:47,120 --> 00:43:50,560
Speaker 1: We don't need the subtle amalogy analogies and books. There's

747
00:43:50,600 --> 00:43:53,600
Speaker 1: also The Lying King, about a word hug who lies

748
00:43:53,640 --> 00:43:56,240
Speaker 1: in order to gain power, and The King who Banned

749
00:43:56,320 --> 00:44:01,120
Speaker 1: the Dark about a king who installs artificial but citizens

750
00:44:01,239 --> 00:44:04,160
Speaker 1: revolt when nobody can sleep. Actually sounds kind of cool. Yeah,

751
00:44:04,320 --> 00:44:09,600
Speaker 1: what is that? What's the met Okay, because he doesn't

752
00:44:09,719 --> 00:44:14,040
Speaker 1: like the dark? Yeah, oh so it's about getting just

753
00:44:14,120 --> 00:44:17,879
Speaker 1: like vilifying things we don't know or he's that part

754
00:44:17,920 --> 00:44:20,719
Speaker 1: is pretty on the note. I think that too. And

755
00:44:20,760 --> 00:44:24,359
Speaker 1: then a book called The Wall, Um, it's I mean

756
00:44:24,560 --> 00:44:28,319
Speaker 1: it makes sense, right, I Like, people feel very powerless

757
00:44:28,400 --> 00:44:30,439
Speaker 1: to try and affect change with people who are fully

758
00:44:30,480 --> 00:44:33,960
Speaker 1: formed adults. So if you're making kids books, you're like, well,

759
00:44:34,000 --> 00:44:36,439
Speaker 1: the way I can fight back is to have these

760
00:44:36,480 --> 00:44:41,880
Speaker 1: things and indoctrinate them with these kinds of stories by sense. Yeah,

761
00:44:41,960 --> 00:44:43,520
Speaker 1: I mean I don't. The other thing is, I don't

762
00:44:43,520 --> 00:44:45,800
Speaker 1: know how many kids are gonna go wait a second,

763
00:44:45,800 --> 00:44:49,320
Speaker 1: the pump in in the pantsuit. This is about what

764
00:44:49,920 --> 00:44:51,799
Speaker 1: to tell. So in a way, you don't need to

765
00:44:51,840 --> 00:44:54,960
Speaker 1: go this sort of hard on those images if you're

766
00:44:55,000 --> 00:44:56,759
Speaker 1: as long as you're the lessons there. But what the

767
00:44:56,760 --> 00:44:58,799
Speaker 1: funk do on I'm not a child development I want

768
00:44:58,840 --> 00:45:01,480
Speaker 1: to see the approach rump books. They got to be

769
00:45:01,520 --> 00:45:04,200
Speaker 1: off there, the perfect phone called Daddy read me, the

770
00:45:04,239 --> 00:45:09,719
Speaker 1: perfect pH um. Yeah, I mean, I don't know. We like,

771
00:45:09,880 --> 00:45:16,319
Speaker 1: there's a whole generation of like nine to seventeen year

772
00:45:16,360 --> 00:45:21,120
Speaker 1: olds who are currently being you know, turned into conservatives

773
00:45:21,160 --> 00:45:25,120
Speaker 1: by YouTube videos. So maybe this is like the the

774
00:45:25,200 --> 00:45:28,640
Speaker 1: generation coming up behind them. But if this is what

775
00:45:29,280 --> 00:45:35,040
Speaker 1: progressives have instead of YouTube videos, progressivism might be in

776
00:45:35,080 --> 00:45:38,439
Speaker 1: some trouble. Yeah, and yeah, I mean there's there's also

777
00:45:38,520 --> 00:45:41,160
Speaker 1: deeper lessons than like it's bad to be a bully, right,

778
00:45:41,440 --> 00:45:43,120
Speaker 1: And I think I'm sure there are plenty of books

779
00:45:43,120 --> 00:45:46,520
Speaker 1: that aren't so narrowly trying to be like I got

780
00:45:46,560 --> 00:45:49,000
Speaker 1: this kid's book in the form of a Yeah, but

781
00:45:49,080 --> 00:45:53,480
Speaker 1: like truly like like stories about empathy, which there I've

782
00:45:53,520 --> 00:45:58,680
Speaker 1: read books like that. I've achieve that. Yeah. Uh, Classics

783
00:45:59,719 --> 00:46:04,279
Speaker 1: Giving Tree is dark as a lot of children's books

784
00:46:04,280 --> 00:46:06,920
Speaker 1: are sucked up. It's just a metaphor for being a

785
00:46:06,920 --> 00:46:10,760
Speaker 1: parent that is like passive aggressive about how selfish children

786
00:46:10,800 --> 00:46:18,920
Speaker 1: are and then they die. It's just daring for parents.

787
00:46:19,280 --> 00:46:21,960
Speaker 1: I don't know if it's a good lesson for children.

788
00:46:22,320 --> 00:46:24,399
Speaker 1: It's like, if you have kids, they're just gonna use

789
00:46:24,440 --> 00:46:26,000
Speaker 1: you up and then you're gonna die. But what do

790
00:46:26,440 --> 00:46:29,799
Speaker 1: the kids get out of that? I don't understandable. Maybe

791
00:46:31,160 --> 00:46:36,359
Speaker 1: children and it'll it'll help with overpopulation. That's the lesson here.

792
00:46:36,480 --> 00:46:38,680
Speaker 1: All Right, we're gonna take a quick break and when

793
00:46:38,680 --> 00:46:52,800
Speaker 1: we'll be back with the big game. And we're back,

794
00:46:53,480 --> 00:46:58,719
Speaker 1: and guys, honor of sports journalism, I want to just

795
00:46:58,840 --> 00:47:02,719
Speaker 1: go through some wins and losers from the Super Bowl night.

796
00:47:03,400 --> 00:47:06,080
Speaker 1: Uh So, the big winner of the night, I'm gonna say,

797
00:47:06,280 --> 00:47:10,120
Speaker 1: has to be the Kansas City Chiefs. Uh. They're coaching

798
00:47:10,200 --> 00:47:14,200
Speaker 1: staff and players. Uh. They scored the most points. They

799
00:47:14,239 --> 00:47:17,800
Speaker 1: were the ones who were giving a championship trophy, and

800
00:47:17,880 --> 00:47:20,560
Speaker 1: Americal value of their point total was greater than that

801
00:47:20,640 --> 00:47:24,160
Speaker 1: of their opponents. Now on the losing side, the Forts

802
00:47:24,239 --> 00:47:27,440
Speaker 1: of San Francisco. They had the most points at first,

803
00:47:28,000 --> 00:47:30,480
Speaker 1: but then they stopped scoring points and the Chiefs scored

804
00:47:30,480 --> 00:47:33,360
Speaker 1: more points than they did, which was a big mistake

805
00:47:33,400 --> 00:47:37,560
Speaker 1: by their coach and their players. Um that strategy. If

806
00:47:37,560 --> 00:47:39,760
Speaker 1: you ask me, I would have simply scored more points.

807
00:47:40,040 --> 00:47:42,480
Speaker 1: I agree. Yeah, I agree, But that's just me. I'm

808
00:47:42,520 --> 00:47:46,040
Speaker 1: not like a football coach. I don't know. Um, alright,

809
00:47:46,160 --> 00:47:51,879
Speaker 1: some other winners, all right, Next segment in depth analysis.

810
00:47:53,640 --> 00:47:56,680
Speaker 1: Did you guys watch the big game? I ate a

811
00:47:56,680 --> 00:47:59,879
Speaker 1: bunch of more fungle Puerto Rican food passed the funk

812
00:48:00,000 --> 00:48:03,640
Speaker 1: out by the third quarter. I did catch I saw

813
00:48:03,840 --> 00:48:08,160
Speaker 1: the last ten minutes. I did not see barely. After all,

814
00:48:08,200 --> 00:48:11,879
Speaker 1: my energy left me digesting food watching the halftime. That's

815
00:48:11,880 --> 00:48:13,600
Speaker 1: how it should be. Your most of your energy should

816
00:48:13,600 --> 00:48:15,959
Speaker 1: be digesting food. I watched the end. I would love

817
00:48:16,000 --> 00:48:20,560
Speaker 1: to see the ratings. What actually happened to the ratings

818
00:48:20,640 --> 00:48:24,080
Speaker 1: after the halftime show turned it off. Yeah, well, like

819
00:48:24,160 --> 00:48:26,240
Speaker 1: everybody I'm talking to it was like yeah, and then

820
00:48:26,280 --> 00:48:29,160
Speaker 1: I stopped kind of paying attention after the halftime show

821
00:48:29,239 --> 00:48:32,600
Speaker 1: that it seems like Pepsi is knocking it out of

822
00:48:32,600 --> 00:48:37,759
Speaker 1: the park. That's one of my winners. Gang Fressian generation,

823
00:48:37,880 --> 00:48:42,040
Speaker 1: next am I right? Uh, well, so I'm gonna say

824
00:48:42,040 --> 00:48:45,080
Speaker 1: a big winner Shakira. I feel like I I went up

825
00:48:45,080 --> 00:48:49,320
Speaker 1: in the estimation of everyone who isn't a pearl clutching

826
00:48:49,400 --> 00:48:53,239
Speaker 1: conservative mom, very specifically moms. We're the only ones who

827
00:48:53,280 --> 00:48:57,920
Speaker 1: had a problem and was about it was the Spanish government.

828
00:48:58,040 --> 00:49:02,239
Speaker 1: Well apparently she's being accused tax twelve million dollars. She

829
00:49:02,280 --> 00:49:05,319
Speaker 1: paid it off right away. Well that's about how much

830
00:49:06,320 --> 00:49:11,040
Speaker 1: I got. Just peeled all that I got my face.

831
00:49:11,120 --> 00:49:12,520
Speaker 1: I got to go to the Super Bowl fucking half

832
00:49:12,520 --> 00:49:19,080
Speaker 1: time Bush tweeters like, yeah, we can hear your bone

833
00:49:19,160 --> 00:49:22,600
Speaker 1: or through your tweets. Please clap, please clap for these

834
00:49:22,640 --> 00:49:26,200
Speaker 1: women also go ahead. No, I was just thinking, like,

835
00:49:26,239 --> 00:49:28,920
Speaker 1: you know, obviously j Lo did her thing like on

836
00:49:28,960 --> 00:49:31,120
Speaker 1: the pole dancing. That was definitely something I feel like

837
00:49:31,120 --> 00:49:33,800
Speaker 1: people were that was one of them. And I remember,

838
00:49:33,800 --> 00:49:35,399
Speaker 1: you know, a lot of It just makes me think

839
00:49:35,440 --> 00:49:38,720
Speaker 1: of Janet Jackson, you know what I mean? She she

840
00:49:38,719 --> 00:49:41,280
Speaker 1: she went through the breach when we're all nation atoned

841
00:49:41,360 --> 00:49:44,799
Speaker 1: to what happened to Janet? Never, totally never, because you know,

842
00:49:45,080 --> 00:49:47,400
Speaker 1: I think who was Jamal Hill or somebody said something like,

843
00:49:47,440 --> 00:49:50,200
Speaker 1: you know, Janet was sad to sacrifice so j Lo

844
00:49:50,360 --> 00:49:53,880
Speaker 1: could do the work. That was one of the more

845
00:49:53,920 --> 00:49:56,920
Speaker 1: impressive athletic feats of the night was j Lo on

846
00:49:57,000 --> 00:50:03,880
Speaker 1: that pole. Effortless, dude, unbelievable. Uh and I guess Shakira.

847
00:50:04,239 --> 00:50:08,480
Speaker 1: According to a super producer Sophie Lichterman, Shakira was out

848
00:50:08,480 --> 00:50:11,520
Speaker 1: searching j Lo five million to one million during the

849
00:50:11,520 --> 00:50:14,560
Speaker 1: Super Bowl half time. Well everybody knows, you know, we're

850
00:50:14,560 --> 00:50:17,120
Speaker 1: all familiar with like, oh kind of may forgot about

851
00:50:17,120 --> 00:50:20,239
Speaker 1: you might have forgot what? Yeah, and she was here

852
00:50:20,280 --> 00:50:23,440
Speaker 1: to remind you. She was forty three and Jlo's fifty.

853
00:50:23,800 --> 00:50:26,640
Speaker 1: My guyness, what demon did they do a deal with?

854
00:50:27,200 --> 00:50:29,919
Speaker 1: I mean they are very rich at a certain level.

855
00:50:30,040 --> 00:50:33,120
Speaker 1: Not having to work like a stressful job to exist

856
00:50:33,600 --> 00:50:36,920
Speaker 1: can do wonders on your scale. But's your secret not

857
00:50:36,960 --> 00:50:39,439
Speaker 1: having any stresses. That happened so much on Twitter, where

858
00:50:39,440 --> 00:50:42,000
Speaker 1: people like post something like how does it looks? How

859
00:50:42,040 --> 00:50:45,880
Speaker 1: does she looks like? They are extremely Well, it's actually

860
00:50:45,960 --> 00:50:48,799
Speaker 1: pretty easy. Yeah, you know, but they did. Look at

861
00:50:49,360 --> 00:50:53,399
Speaker 1: the show. The one thing I will say is I

862
00:50:53,440 --> 00:50:55,719
Speaker 1: was like, from end to end, I'm like, this is

863
00:50:55,760 --> 00:50:58,680
Speaker 1: a fucking show. Right, there was something. It was a

864
00:50:58,760 --> 00:51:02,080
Speaker 1: whole thing. It was not just like and now this

865
00:51:02,120 --> 00:51:04,120
Speaker 1: band at the other side of the field and this

866
00:51:04,160 --> 00:51:06,680
Speaker 1: guy will walk among the crowd, and I felt everything

867
00:51:06,840 --> 00:51:10,560
Speaker 1: was just like So I didn't. I was very cynical.

868
00:51:10,600 --> 00:51:11,880
Speaker 1: I was like, all right, here we go. And I

869
00:51:11,920 --> 00:51:15,160
Speaker 1: was like, Wow, she opened your heart. She opened my heart.

870
00:51:15,200 --> 00:51:18,600
Speaker 1: You didn't expect it? Yeah? Absolutely. I Meanwhile, the conservative

871
00:51:18,640 --> 00:51:22,000
Speaker 1: site Drudge Report is calling it the Super Bowl ass

872
00:51:22,080 --> 00:51:24,759
Speaker 1: time show, because that sounds like an endorsement to me.

873
00:51:24,880 --> 00:51:29,239
Speaker 1: I don't know, but oh yeah. At first, I was like,

874
00:51:29,320 --> 00:51:31,600
Speaker 1: what is her asseless chap situation? And I'm like, what's

875
00:51:31,640 --> 00:51:34,520
Speaker 1: the weird silver underneath? I didn't realize she had multiple

876
00:51:34,600 --> 00:51:36,600
Speaker 1: costumes on, of course, and then I found out because

877
00:51:36,640 --> 00:51:41,680
Speaker 1: I'm a lame brain, you were thinking one costume and idiot,

878
00:51:41,760 --> 00:51:46,600
Speaker 1: I'm jail where one thing got five on? Right now? Uh?

879
00:51:46,640 --> 00:51:51,759
Speaker 1: In terms of ads, I feel like Mike Bloomberg had.

880
00:51:52,880 --> 00:51:56,200
Speaker 1: It was basically so Trump ran during an early part

881
00:51:56,200 --> 00:51:58,400
Speaker 1: of the Super Bowl, he ran an ad that was

882
00:52:01,080 --> 00:52:06,719
Speaker 1: a older woman of color who is a supporter of

883
00:52:06,840 --> 00:52:11,160
Speaker 1: his and being like, hey, look at this one black

884
00:52:11,200 --> 00:52:17,040
Speaker 1: woman who did a nice thing for uh so I'm good. Right.

885
00:52:17,520 --> 00:52:20,279
Speaker 1: That was the Alice Johnson one. Right, that was the

886
00:52:20,320 --> 00:52:23,120
Speaker 1: Alice Johnson one. And then Mike Bloomberg had one that

887
00:52:23,200 --> 00:52:26,959
Speaker 1: was like very reminiscent of that later on in the game,

888
00:52:27,000 --> 00:52:29,600
Speaker 1: which I feel like was probably a bad look for Bloomberg.

889
00:52:29,640 --> 00:52:31,480
Speaker 1: I mean, I don't it's it's weird, just for the

890
00:52:31,480 --> 00:52:35,000
Speaker 1: Alice Johnson one. Right. That wasn't a thing that Donald

891
00:52:35,000 --> 00:52:38,120
Speaker 1: Trump wanted to do. That was something brought to his attention,

892
00:52:38,400 --> 00:52:41,799
Speaker 1: and he was like very opportunistic in in hearing this

893
00:52:41,880 --> 00:52:45,040
Speaker 1: case out. So in the end they took very narrowly

894
00:52:45,120 --> 00:52:49,320
Speaker 1: her being grateful that her being like in prison wrongfully

895
00:52:50,000 --> 00:52:53,840
Speaker 1: like had been you know, rectified by this president. But

896
00:52:53,920 --> 00:52:56,439
Speaker 1: they were just being like, yep, and that means all

897
00:52:56,480 --> 00:52:59,520
Speaker 1: people of color, all African Americans also standby. I mean

898
00:52:59,800 --> 00:53:02,279
Speaker 1: we're good with everybody, right, Cool, Okay, cool? Remember how

899
00:53:02,560 --> 00:53:06,719
Speaker 1: he treated getting Asap Rocky out of prison yeah, you

900
00:53:06,840 --> 00:53:09,600
Speaker 1: better thank me. I will not like he made him

901
00:53:09,840 --> 00:53:12,239
Speaker 1: swearing allegiance, and then a Sep Rocky was like, no,

902
00:53:12,360 --> 00:53:14,040
Speaker 1: I'm not going to do that. You can keep calling

903
00:53:14,120 --> 00:53:17,520
Speaker 1: that thinks that thank you, that gratitude sound bite will

904
00:53:17,520 --> 00:53:19,760
Speaker 1: not be coming. But who knows what kind of deals

905
00:53:19,760 --> 00:53:22,399
Speaker 1: went on behind the scenes. I mean, I don't. I'm

906
00:53:22,440 --> 00:53:26,280
Speaker 1: not cynical about that because I understand, you know, getting

907
00:53:26,440 --> 00:53:30,680
Speaker 1: her situation and then Kim Kardashian somehow being the broker

908
00:53:30,760 --> 00:53:33,120
Speaker 1: of this whole deal. But yeah, I think it's just

909
00:53:33,280 --> 00:53:38,120
Speaker 1: very disingenuous to just take that example to somehow be like, yeah,

910
00:53:38,120 --> 00:53:42,600
Speaker 1: and who has your back? Trump Baby, like this funk

911
00:53:42,640 --> 00:53:46,879
Speaker 1: out of here. Yeah. The Bloomberg one too was I mean, look, yeah,

912
00:53:47,000 --> 00:53:49,520
Speaker 1: it's just interesting because it's Fox though there was even

913
00:53:49,560 --> 00:53:52,040
Speaker 1: like that Fox Nation. There was all kinds of weird.

914
00:53:52,680 --> 00:53:56,239
Speaker 1: This is just the beginning of terrible ads. We're entering

915
00:53:56,280 --> 00:54:01,400
Speaker 1: a nightmare which we cannot conceive. The Google Edge that

916
00:54:01,400 --> 00:54:04,040
Speaker 1: that seemed to like break through on social media. The

917
00:54:04,080 --> 00:54:06,759
Speaker 1: Google one was like, Google, remember that she used to

918
00:54:06,840 --> 00:54:11,879
Speaker 1: love dancing in the dark or whatever was when like

919
00:54:12,120 --> 00:54:15,760
Speaker 1: camald On Gihnni was like, uh, never thought of Google

920
00:54:15,800 --> 00:54:17,960
Speaker 1: app would make me cry, Like I saw a lot

921
00:54:17,960 --> 00:54:22,360
Speaker 1: of people uh saying similar stuff, and that just that

922
00:54:22,480 --> 00:54:27,760
Speaker 1: ad bummed me out, like just broadly as a culture

923
00:54:27,960 --> 00:54:31,960
Speaker 1: and a species that like, there's something so depressing about

924
00:54:31,960 --> 00:54:35,319
Speaker 1: this company that just stores all our communications and hive

925
00:54:35,440 --> 00:54:38,440
Speaker 1: mind and learns and just drinks up our intelligence and

926
00:54:38,560 --> 00:54:40,960
Speaker 1: use it to sell ship to us. And in this

927
00:54:41,000 --> 00:54:43,959
Speaker 1: ad they're not even They're not like, hey, look over

928
00:54:44,000 --> 00:54:49,120
Speaker 1: here at our like sexy musicians by our brown sugar water.

929
00:54:49,280 --> 00:54:53,960
Speaker 1: They're like, we will replace your memory, Like yeah, what

930
00:54:54,040 --> 00:54:56,399
Speaker 1: was the point was? Is there a feature I don't

931
00:54:56,440 --> 00:55:00,680
Speaker 1: know about right, I'm not even sure what feature example,

932
00:55:00,840 --> 00:55:03,800
Speaker 1: is supposed to be. Here he's saying stuff out loud

933
00:55:03,840 --> 00:55:06,600
Speaker 1: to remind him to remember stuff about his wife that

934
00:55:06,680 --> 00:55:10,040
Speaker 1: the videos and pictures are reminding him of. And then

935
00:55:10,080 --> 00:55:13,040
Speaker 1: like there's a Google. Google is represented by like an

936
00:55:13,040 --> 00:55:17,160
Speaker 1: Alexa like voice or like that there hey, Google assistant,

937
00:55:17,880 --> 00:55:20,279
Speaker 1: but like what is she? So then she just like

938
00:55:20,600 --> 00:55:23,640
Speaker 1: repeats stuff back to you when't you? I don't know.

939
00:55:23,760 --> 00:55:25,960
Speaker 1: I think it was one of those things where it

940
00:55:25,960 --> 00:55:28,920
Speaker 1: didn't matter what the technology was they were pitching. It

941
00:55:29,080 --> 00:55:31,880
Speaker 1: was just this idea that most people have seen an

942
00:55:31,920 --> 00:55:36,040
Speaker 1: older family member go through some kind of like and

943
00:55:36,080 --> 00:55:38,800
Speaker 1: that's all it was. It was working you on that level.

944
00:55:39,600 --> 00:55:44,000
Speaker 1: And you know, I you know, lost my grandmother recently,

945
00:55:44,360 --> 00:55:47,360
Speaker 1: like to it's in similar circumstances. And part of me

946
00:55:47,440 --> 00:55:49,560
Speaker 1: was just sort of turned off by this though too,

947
00:55:49,600 --> 00:55:52,719
Speaker 1: because it seems so apparent what they were trying to do.

948
00:55:52,760 --> 00:55:54,440
Speaker 1: I'm like, no, I don't try and hit me from

949
00:55:54,440 --> 00:55:56,560
Speaker 1: that any They're trying to get the heart heart strings going.

950
00:55:56,760 --> 00:55:58,960
Speaker 1: But I could see, I could, I can easily see why.

951
00:55:58,960 --> 00:56:01,440
Speaker 1: You can watch that though and be overcome. It's like

952
00:56:01,480 --> 00:56:03,960
Speaker 1: that this is us of commercials where they're just like,

953
00:56:04,200 --> 00:56:06,479
Speaker 1: let me find something to go straight into your heart

954
00:56:07,120 --> 00:56:10,920
Speaker 1: and blow at the funk up. Facebook had a bunch

955
00:56:10,960 --> 00:56:13,520
Speaker 1: of ads where they tried to align themselves with like

956
00:56:13,880 --> 00:56:20,480
Speaker 1: fun subcultures instead of you know, monolithic destroyers of communications

957
00:56:20,719 --> 00:56:23,920
Speaker 1: and the Internet. The best though, was that Sliced Alone

958
00:56:24,040 --> 00:56:28,759
Speaker 1: cameo at the end. Yeah, and you're like, yo, you're

959
00:56:30,000 --> 00:56:36,720
Speaker 1: your botox. My man looks yeah, who is your guy? Also,

960
00:56:36,719 --> 00:56:39,200
Speaker 1: do you notice that like those Procter and Gamble like

961
00:56:39,360 --> 00:56:43,680
Speaker 1: human centipedes versions of commercials where it's like nine brands

962
00:56:43,680 --> 00:56:46,399
Speaker 1: in one and then like it would leak over into

963
00:56:46,440 --> 00:56:49,080
Speaker 1: the next one. We worked for Avengers, so why wouldn't

964
00:56:49,080 --> 00:56:51,719
Speaker 1: it work for I was? I was confused, and then

965
00:56:51,760 --> 00:56:53,520
Speaker 1: I'm like, yeah, this is just remind people that like

966
00:56:53,560 --> 00:56:56,399
Speaker 1: four companies on all the things you and that's why

967
00:56:56,400 --> 00:57:01,440
Speaker 1: they're all under one commercial. Yeah. And Budweiser had that

968
00:57:01,480 --> 00:57:07,359
Speaker 1: typical American ad where they used video from the two

969
00:57:07,360 --> 00:57:15,319
Speaker 1: thousand sixteen Charlotte Uprising civil unrest and like showed one

970
00:57:15,360 --> 00:57:21,720
Speaker 1: of the protesters hugging a Charlotte Mecklenburg Police Department officer

971
00:57:22,520 --> 00:57:26,280
Speaker 1: as like a sign of you know that that that

972
00:57:26,440 --> 00:57:28,760
Speaker 1: was like the moment of bravery. I'm not against that

973
00:57:28,840 --> 00:57:31,640
Speaker 1: guy cashing in on that because I don't what did

974
00:57:31,680 --> 00:57:33,360
Speaker 1: they cash in or did they just say, well, we

975
00:57:33,440 --> 00:57:36,120
Speaker 1: bought the rights to that news clip and maybe I

976
00:57:36,240 --> 00:57:38,520
Speaker 1: was as they got his permission or they had to

977
00:57:38,520 --> 00:57:41,840
Speaker 1: get his permission by said he's like good with it.

978
00:57:42,000 --> 00:57:44,600
Speaker 1: So maybe free beer for life? Right, you know? If

979
00:57:45,080 --> 00:57:48,640
Speaker 1: I don't really particularly like Budweiser, Budweiser hangovers, man, have

980
00:57:48,760 --> 00:57:50,720
Speaker 1: you ever heard those? Because they have rice in them?

981
00:57:52,200 --> 00:57:55,280
Speaker 1: Here we go. Wasn't that last Super Bowl when bud

982
00:57:55,440 --> 00:57:57,760
Speaker 1: Bud light took the shot at everybody was like, we

983
00:57:57,760 --> 00:58:04,240
Speaker 1: don't use or whatever. Oh yeah, whatever, yeah yeah. Um.

984
00:58:04,280 --> 00:58:08,600
Speaker 1: In two thousands seventeen, they made an ad chronicling the

985
00:58:08,720 --> 00:58:12,640
Speaker 1: immigrant story of their founder and like the hardships he

986
00:58:12,800 --> 00:58:16,480
Speaker 1: faced for being German. Uh, Like people were like, you're

987
00:58:16,520 --> 00:58:18,520
Speaker 1: not wanting to hear go back home. And then it

988
00:58:18,560 --> 00:58:21,040
Speaker 1: was like sort of pro immigration, and that caused like

989
00:58:21,560 --> 00:58:25,640
Speaker 1: Trump supporters to start a Budweiser boycott that they can't

990
00:58:25,640 --> 00:58:30,480
Speaker 1: sustain that, right exactly. Sadly they've they're they're gone in

991
00:58:30,600 --> 00:58:35,320
Speaker 1: bankruptcy right. Um, but yeah, I don't know, this ED

992
00:58:35,480 --> 00:58:39,480
Speaker 1: seems deserving of the controversy it's generating. Has a conservative

993
00:58:39,480 --> 00:58:44,600
Speaker 1: boycott ever been effective? Um? I think just when they

994
00:58:44,760 --> 00:58:48,320
Speaker 1: I don't know, No, yeah, I don't know. They boycotted

995
00:58:48,400 --> 00:58:53,840
Speaker 1: human decency, right, that one's a long standing well right now.

996
00:58:54,960 --> 00:58:56,560
Speaker 1: But I think you think of like re member, you know,

997
00:58:56,600 --> 00:58:59,880
Speaker 1: it was going to be Nike, it was gonna cruig

998
00:59:00,160 --> 00:59:09,320
Speaker 1: k cups on. Volvo decimated, Starbucks has never recovered. Wait, Volvo,

999
00:59:10,040 --> 00:59:11,640
Speaker 1: I think I think one of those there was one

1000
00:59:11,640 --> 00:59:13,560
Speaker 1: company and man would have been that explicit, but it

1001
00:59:13,600 --> 00:59:15,440
Speaker 1: was one of those companies that was teetering with the

1002
00:59:15,480 --> 00:59:19,520
Speaker 1: Tucker Carlson advertising, because when when Kurig went out there,

1003
00:59:19,520 --> 00:59:22,920
Speaker 1: like oh yeah, they threw the coffee makers out there

1004
00:59:22,920 --> 00:59:24,560
Speaker 1: where they found two people on the internet that did

1005
00:59:24,720 --> 00:59:27,120
Speaker 1: I feel like even then, most even if you are

1006
00:59:27,240 --> 00:59:30,439
Speaker 1: like a conservative with like Trump brain, you're gonna be like, dude,

1007
00:59:30,440 --> 00:59:33,560
Speaker 1: that's a fucking expensive I can't just throw this. Culturally,

1008
00:59:33,680 --> 00:59:37,400
Speaker 1: I do think the Starbucks things broke through because the

1009
00:59:37,920 --> 00:59:40,000
Speaker 1: one of the women who went viral being like this

1010
00:59:40,080 --> 00:59:43,360
Speaker 1: is basically porn about the halftime show. If you looked

1011
00:59:43,400 --> 00:59:46,080
Speaker 1: on her timeline, she was like, sometimes I feel like

1012
00:59:46,160 --> 00:59:49,360
Speaker 1: good about myself for claiming that I don't go to Starbucks,

1013
00:59:49,400 --> 00:59:53,480
Speaker 1: but then later that day I go to Starbucks. Like iral,

1014
00:59:53,800 --> 00:59:55,520
Speaker 1: what was their problem with I don't even what was

1015
00:59:55,560 --> 00:59:59,400
Speaker 1: the problem with Starbucks? Again, I don't remember. It's like

1016
00:59:59,440 --> 01:00:02,439
Speaker 1: any number of things like where they said I think

1017
01:00:02,440 --> 01:00:04,960
Speaker 1: it's like they were going to hire dreamers or something

1018
01:00:06,240 --> 01:00:10,080
Speaker 1: or have like or they were gonna give like jobs

1019
01:00:10,120 --> 01:00:12,600
Speaker 1: to people who were trying to gain city. It was

1020
01:00:12,640 --> 01:00:15,400
Speaker 1: something that was showing that they were being empathetic towards

1021
01:00:15,520 --> 01:00:18,400
Speaker 1: people who were trying to get citizenship, I believe, and

1022
01:00:18,480 --> 01:00:27,080
Speaker 1: that kicked it all off. Awesome. Uh yeah, that's that's plenty.

1023
01:00:27,120 --> 01:00:30,560
Speaker 1: I was just gonna say, Wolford Brimley came to life

1024
01:00:30,560 --> 01:00:34,439
Speaker 1: on Twitter yesterday. He came to life on Super Bowl

1025
01:00:34,480 --> 01:00:38,440
Speaker 1: Sunday because people kept mistaking him with Andy Reid and

1026
01:00:38,600 --> 01:00:41,960
Speaker 1: someone was like, someone tweeted like is the chiefs coach

1027
01:00:42,160 --> 01:00:45,800
Speaker 1: the diabetes guy? And then like Wolford Brimley would quote

1028
01:00:45,800 --> 01:00:51,280
Speaker 1: sweat that he was, No, I'm the diabetes. Wilford Brimley's

1029
01:00:51,320 --> 01:00:54,920
Speaker 1: continued cultural relevance it's just it's so fun. Yeah, it's

1030
01:00:54,960 --> 01:00:57,160
Speaker 1: gonna happen around. I'm like, what did he do before

1031
01:00:57,240 --> 01:00:59,760
Speaker 1: the Diabetes ship? He was in Mad Movie, He used

1032
01:00:59,760 --> 01:01:01,600
Speaker 1: to be in tons of movies. He was in Waco,

1033
01:01:01,720 --> 01:01:11,040
Speaker 1: Texas Ranger. It's time for a Brimley resurgent stab. It

1034
01:01:11,120 --> 01:01:14,120
Speaker 1: was Andy Reid. It was good to see him finally

1035
01:01:14,160 --> 01:01:17,400
Speaker 1: win one. He's like one of those dudes who doesn't

1036
01:01:18,000 --> 01:01:23,120
Speaker 1: suffering long suffering looks like I don't know his personality

1037
01:01:23,200 --> 01:01:26,280
Speaker 1: type is walrus, but he actually, like when you see

1038
01:01:26,360 --> 01:01:29,280
Speaker 1: him interviewed, seems like just kind of a big teddy

1039
01:01:29,320 --> 01:01:34,080
Speaker 1: bear guy. Uh. And he it seems like when he won,

1040
01:01:34,560 --> 01:01:37,880
Speaker 1: his body just immediately made him drunk because he was

1041
01:01:37,920 --> 01:01:40,560
Speaker 1: just like in the postgame interviews, it was like it's great, man,

1042
01:01:41,080 --> 01:01:44,200
Speaker 1: It's all great, and the guy was like, yeah, yeah, no,

1043
01:01:44,360 --> 01:01:46,920
Speaker 1: we got we got that. But like he wasn't like

1044
01:01:46,960 --> 01:01:50,800
Speaker 1: hearing anyone's question overcome. I talked about how he's about

1045
01:01:50,800 --> 01:01:53,240
Speaker 1: to eat the biggest cheeseburger you've ever seen, and said

1046
01:01:53,240 --> 01:01:55,320
Speaker 1: he didn't spend the night with the trophy, spend it

1047
01:01:55,400 --> 01:02:01,040
Speaker 1: with his trophy wife about your own, your wife who

1048
01:02:01,080 --> 01:02:03,560
Speaker 1: have been married to since and with whom you know.

1049
01:02:03,800 --> 01:02:07,480
Speaker 1: That's a compliment comment because I've reduced you to a trophy.

1050
01:02:07,560 --> 01:02:10,760
Speaker 1: But only winners get trophies, so you see that's why. Yeah,

1051
01:02:11,200 --> 01:02:14,000
Speaker 1: but his general vibe uss him is going to be

1052
01:02:14,040 --> 01:02:18,000
Speaker 1: one thing. And also he is the if you haven't

1053
01:02:18,040 --> 01:02:21,000
Speaker 1: seen the image of him in the pump pass and

1054
01:02:21,280 --> 01:02:26,720
Speaker 1: kick competition as a child, where he is looks like

1055
01:02:26,760 --> 01:02:30,240
Speaker 1: a grown man. It's prepared, like all these children who

1056
01:02:30,280 --> 01:02:32,880
Speaker 1: come up to his waist, Andy Reid was, you haven't

1057
01:02:32,880 --> 01:02:37,440
Speaker 1: seen that. I see they have image. It looks like

1058
01:02:37,640 --> 01:02:39,880
Speaker 1: someone is lying about their age to get on a

1059
01:02:39,920 --> 01:02:45,360
Speaker 1: Pop Warner team. Yes, that's that's Andy Reid as a

1060
01:02:45,400 --> 01:02:48,560
Speaker 1: big boy from day one on the national stage as

1061
01:02:48,600 --> 01:02:52,240
Speaker 1: a child, just dwarfing everybody else. Dude, he could rip

1062
01:02:52,320 --> 01:02:57,120
Speaker 1: these kids heads on. Yeah, no easily. They called him

1063
01:02:57,120 --> 01:03:02,840
Speaker 1: the Walrus in it for the love of the game. Anyways, Uh,

1064
01:03:02,920 --> 01:03:05,960
Speaker 1: that is going to do it for today's episode, Carl,

1065
01:03:06,000 --> 01:03:09,080
Speaker 1: thank you so much for pleasure. Guys, where can people

1066
01:03:09,120 --> 01:03:12,360
Speaker 1: find you? I have a comedy food podcast that I

1067
01:03:12,400 --> 01:03:14,880
Speaker 1: host with a chief. It's called Yelling About pat Ta.

1068
01:03:15,280 --> 01:03:18,040
Speaker 1: You can listen to that on iTunes and we're on

1069
01:03:18,080 --> 01:03:20,720
Speaker 1: Instagram at yap pod that's y P p o D.

1070
01:03:21,000 --> 01:03:23,120
Speaker 1: I'm on Instagram and Twitter as well at Carl he

1071
01:03:23,240 --> 01:03:26,320
Speaker 1: s k A R L H s s um. You know,

1072
01:03:26,440 --> 01:03:28,800
Speaker 1: tell me your thoughts on different types of alcohol. There

1073
01:03:28,800 --> 01:03:32,680
Speaker 1: you go. Is there a tweet you've been enjoying? Yeah,

1074
01:03:32,720 --> 01:03:36,400
Speaker 1: so I've been really loving the Bernie asking has how

1075
01:03:36,400 --> 01:03:40,200
Speaker 1: it's become a meme where it's like, uh, this still

1076
01:03:40,280 --> 01:03:42,440
Speaker 1: of Bernie in the jacket and it was like, you know,

1077
01:03:42,520 --> 01:03:45,760
Speaker 1: asking for money, but now people are putting in all

1078
01:03:45,800 --> 01:03:49,320
Speaker 1: all kinds of fun stuff, and uh, Corey Johnson on

1079
01:03:49,360 --> 01:03:51,800
Speaker 1: Twitter at Corey T. Johnson had a fun one where

1080
01:03:51,800 --> 01:03:54,520
Speaker 1: it's once again asking kind of hit your jewel. It's

1081
01:03:54,560 --> 01:03:57,440
Speaker 1: just great it really made me laugh out loud when

1082
01:03:57,480 --> 01:03:59,520
Speaker 1: I scrolled by, which doesn't happen a lot on Twitter

1083
01:04:00,120 --> 01:04:02,480
Speaker 1: com I laughed out loud, and it's just the Bernie

1084
01:04:02,480 --> 01:04:06,680
Speaker 1: meme is just it's been bringing me joy. Uh, Miles,

1085
01:04:06,720 --> 01:04:10,080
Speaker 1: where can people find you? Two Instagram at Miles of

1086
01:04:10,120 --> 01:04:13,280
Speaker 1: Gray and on my other podcast for twenty Fiance, we're

1087
01:04:13,280 --> 01:04:18,240
Speaker 1: talking about the hit reality show Fiance with Sophia Alexandra. Uh.

1088
01:04:18,280 --> 01:04:21,000
Speaker 1: Some tweets I like, um, just because we were talking

1089
01:04:21,000 --> 01:04:23,600
Speaker 1: a little bit about these commercials. Jesus Nice at Jesus

1090
01:04:23,720 --> 01:04:26,840
Speaker 1: Nice tweeted, you can tell how evil a company is

1091
01:04:26,880 --> 01:04:29,200
Speaker 1: by how touching their Super Bowl ad attempts to be

1092
01:04:30,360 --> 01:04:34,960
Speaker 1: very very true. Um. There's another one that's from at

1093
01:04:35,040 --> 01:04:38,200
Speaker 1: Jen Underscore Tisdale. It says, this morning, I received an

1094
01:04:38,240 --> 01:04:41,520
Speaker 1: unsolicited dick pick via Instagram from a man I do

1095
01:04:41,600 --> 01:04:44,320
Speaker 1: not know. What follows is a beautiful story I wove

1096
01:04:44,360 --> 01:04:47,720
Speaker 1: about an app I made up that should exist. Enjoy.

1097
01:04:47,840 --> 01:04:50,960
Speaker 1: So the first pain is clearly cropped off. There is

1098
01:04:51,000 --> 01:04:52,800
Speaker 1: some kind of dick pick you don't know, but you

1099
01:04:52,840 --> 01:04:57,040
Speaker 1: see weird skin off. H. Then it says her response

1100
01:04:57,120 --> 01:04:59,520
Speaker 1: is sorry, whatever image you sent isn't coming through. I

1101
01:04:59,560 --> 01:05:01,160
Speaker 1: have a photo a block aro on I g and

1102
01:05:01,160 --> 01:05:04,120
Speaker 1: it said, okay, it's very and then her response, it's

1103
01:05:04,240 --> 01:05:07,160
Speaker 1: very useful for women. The man responds, sorry, it was

1104
01:05:07,200 --> 01:05:10,880
Speaker 1: basically a really shitty joke. Then she responds, yeah, because

1105
01:05:10,920 --> 01:05:13,720
Speaker 1: sometimes very sad men, and I mean the saddest men,

1106
01:05:14,080 --> 01:05:16,720
Speaker 1: and it goes and the pick was the punchline. She's like,

1107
01:05:16,800 --> 01:05:20,640
Speaker 1: men so so sad that women never touched them, you know,

1108
01:05:20,720 --> 01:05:25,320
Speaker 1: the kind and so incredibly sad and unfukable. They tried

1109
01:05:25,360 --> 01:05:28,800
Speaker 1: to send inappropriate picks, so I downloaded an app that

1110
01:05:28,880 --> 01:05:32,600
Speaker 1: blocks them, and he responds, you're dead right their animals.

1111
01:05:34,480 --> 01:05:37,920
Speaker 1: She responds, it's called cock block, which is funny because

1112
01:05:37,960 --> 01:05:40,840
Speaker 1: that's what happens to those dudes in real life, which

1113
01:05:40,880 --> 01:05:43,560
Speaker 1: is something I cannot identify with because I am beautiful

1114
01:05:43,640 --> 01:05:47,080
Speaker 1: and terribly smart. It must suck to never ever fuck.

1115
01:05:47,280 --> 01:05:49,160
Speaker 1: And then she puts a bunch of shrug emoji to

1116
01:05:49,160 --> 01:05:51,680
Speaker 1: the guys and he goes, if that's the actual name

1117
01:05:51,760 --> 01:05:53,480
Speaker 1: of the app, the creator needs to be given a

1118
01:05:53,560 --> 01:05:56,960
Speaker 1: Nobel prize, and she responds, it's also very intuitive. He's like,

1119
01:05:57,040 --> 01:06:03,440
Speaker 1: it's brilliant. She says, it immediately sends the image and

1120
01:06:03,520 --> 01:06:05,920
Speaker 1: profile to the local police. I will get a call

1121
01:06:06,000 --> 01:06:08,640
Speaker 1: from local law enforcement asking when I can come into

1122
01:06:08,680 --> 01:06:12,240
Speaker 1: file a sexual harassment report. Oh my god. And then

1123
01:06:11,480 --> 01:06:14,640
Speaker 1: it's then her last message to the guys men who

1124
01:06:14,680 --> 01:06:17,440
Speaker 1: have sent me dick Pis have been arrested. It's wild.

1125
01:06:17,720 --> 01:06:20,920
Speaker 1: Ll one guy lost his job and his wife. Technology

1126
01:06:21,000 --> 01:06:24,840
Speaker 1: is wild. It's like a whole fucking thing. I saw that,

1127
01:06:24,920 --> 01:06:27,120
Speaker 1: and I want to know the follow up. People. I

1128
01:06:27,160 --> 01:06:28,840
Speaker 1: would love to know if you message her after that.

1129
01:06:28,880 --> 01:06:31,680
Speaker 1: I also tried to look at his Instagram profile and

1130
01:06:31,680 --> 01:06:37,040
Speaker 1: he has it protected. I want and give us the update. Uh.

1131
01:06:37,040 --> 01:06:40,680
Speaker 1: Some tweets I've been enjoying. Sarah Baby tweeted when I

1132
01:06:40,720 --> 01:06:43,160
Speaker 1: see a girl tie a cherry stem with her tongue,

1133
01:06:43,440 --> 01:06:45,439
Speaker 1: I put a whole fish in my mouth and pull

1134
01:06:45,480 --> 01:06:49,000
Speaker 1: out the skeleton. Then I leave with her boyfriend. Uh.

1135
01:06:49,040 --> 01:06:52,760
Speaker 1: And Danish Worth's tweeted Timothy Shall is so beautiful. I

1136
01:06:52,760 --> 01:06:54,680
Speaker 1: don't know if I want to have sex with him

1137
01:06:54,800 --> 01:06:58,439
Speaker 1: or feed him dry seed with my open palm, which

1138
01:06:58,520 --> 01:07:03,840
Speaker 1: is something I can picture. It could be both. Yeah, yeah, Uh.

1139
01:07:04,920 --> 01:07:07,960
Speaker 1: You find us on Twitter at daily Zeke. Guys, we're

1140
01:07:08,000 --> 01:07:10,160
Speaker 1: at the You can find me on Twitter at Jack

1141
01:07:10,240 --> 01:07:12,680
Speaker 1: Underscore Brian. You can find us on Twitter at Daily

1142
01:07:12,800 --> 01:07:16,120
Speaker 1: Zycheys were at the Daily Zgeist on Instagram. We have

1143
01:07:16,160 --> 01:07:19,520
Speaker 1: a Facebook fan page and a website, Daily zike Guys

1144
01:07:19,640 --> 01:07:22,400
Speaker 1: dot com where we post our episodes and our foot

1145
01:07:22,480 --> 01:07:24,760
Speaker 1: no where we link off to the information that we

1146
01:07:24,840 --> 01:07:27,320
Speaker 1: talked about in today's episode, as well as the song

1147
01:07:27,680 --> 01:07:30,280
Speaker 1: we ride out on? Miles. What song are we going

1148
01:07:30,320 --> 01:07:32,960
Speaker 1: to ride out? We're gonna go out on a track

1149
01:07:33,040 --> 01:07:37,040
Speaker 1: from Denny la Flair, who I did not I don't

1150
01:07:37,040 --> 01:07:39,200
Speaker 1: know what. I don't know what this person is about,

1151
01:07:39,240 --> 01:07:41,280
Speaker 1: but I started listening to their album. It's like a

1152
01:07:41,320 --> 01:07:45,640
Speaker 1: lot of cool instrumental sample bass beats, which I'm a

1153
01:07:45,720 --> 01:07:49,240
Speaker 1: huge fan of. Uh, and this one is it's just

1154
01:07:49,480 --> 01:07:52,280
Speaker 1: very easy. It's just called number seven intro uh and

1155
01:07:52,320 --> 01:07:54,440
Speaker 1: it's just like the whole album is very easy to

1156
01:07:54,560 --> 01:07:56,600
Speaker 1: listen to. But if you like a little bit of

1157
01:07:56,680 --> 01:07:58,960
Speaker 1: a little boom bath in your life, this will help

1158
01:07:59,480 --> 01:08:03,560
Speaker 1: scratch that itching and easy listening will just do it

1159
01:08:03,680 --> 01:08:06,280
Speaker 1: for me. It's a little bit of both, yeah, but

1160
01:08:06,280 --> 01:08:08,320
Speaker 1: it's not too aggressive, you know what I mean? Damn yeah,

1161
01:08:08,720 --> 01:08:11,200
Speaker 1: well great. The Daily Zygeis is the production of I

1162
01:08:11,320 --> 01:08:13,840
Speaker 1: Heart Radio. For more podcasts, for my her Radio visit

1163
01:08:13,920 --> 01:08:16,840
Speaker 1: the hert Radio app, Apple podcasts, or wherever you listen

1164
01:08:16,840 --> 01:08:19,840
Speaker 1: to your favorite shows. Uh. That is going to do

1165
01:08:19,880 --> 01:08:22,759
Speaker 1: it for this morning. We will be back later today

1166
01:08:23,040 --> 01:08:26,000
Speaker 1: with to tell you what is trending at that time

1167
01:08:26,120 --> 01:08:27,639
Speaker 1: and we will talk to you that by the site