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

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Speaker 1: four of Jose Lez eight Guys, the production of Hi

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

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Speaker 1: deep dive into America's shared consciousness and say, officially, off

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Speaker 1: the top, fuck the Cooch Brothers and fuck Fox News.

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Speaker 1: It's Thursday, February six, twenties twenty. My name is Jack O'Brien,

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Speaker 1: a k A, I'm a Jack, I'm O'Brien, i'm x

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Speaker 1: crack Fox News, Lione Buddha, jedges c I A I

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Speaker 1: am not sec and rate at his courtesy of spag bourgeoisie. Uh.

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Speaker 1: That's probably not how he's pronouncing that jan Champion three

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Speaker 1: thousand spack both like spag boy. Yeah maybe uh. And

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Speaker 1: I'm thrilled to be joined as always by my co

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Speaker 1: host Mr Miles. I don't want to wear in bed

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Speaker 1: for this carcase rising. So they had been over fucking

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Speaker 1: way to no one. I just had to say that

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Speaker 1: off the top because I was just thinking of Iowa,

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Speaker 1: Iowa way for and that's that was my thought process.

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Speaker 1: That was just a homebrew ak. That's why I leave

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Speaker 1: it to the listeners at home to come up with

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Speaker 1: the real ship. I do like that we were from

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Speaker 1: the same era. Yeah, yeah, um, Miles, Yes, we're gonna

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Speaker 1: we're going on the road with our time machine. Uh

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Speaker 1: super transportable time machine. Also super producer anna's Nia super

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Speaker 1: super portable portable producer Anna Hoosnia. Uh. And some special

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Speaker 1: guests were in Brooklyn at the Bellhouse on February twelfth.

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Speaker 1: Who's a guest, Daniel O'Brien from from Cracked. Yeah, that

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Speaker 1: the very same the John Oliver Writing Room, right, yes, sir.

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Speaker 1: We're gonna be in Washington, d C. February at the

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Speaker 1: Miracle Theater with Natalie McGill, journalist, ye comedian Uh huh,

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Speaker 1: very same. Minneapolis February twenty five at the Parkway Theater

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Speaker 1: with pos legend only. Chicago February seven, Sleeping Village with

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Speaker 1: you guessed it, Daniel than Kurt. I was hoping you're

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Speaker 1: gonna say someone like Ron Harper, right uh. And Toronto

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Speaker 1: the Grand Finale February at the Great Hall. The guest

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Speaker 1: so amazing. We can't announce it just yet, but it

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Speaker 1: is Frank Ocean. Uh. Well, people are gonna think it's

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Speaker 1: Frank Ocean. Then when Drake comes out, they're gonna boo us. Yeah,

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Speaker 1: but hey, that's how we do think. Yeah. So for tickets,

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Speaker 1: go to Daily Zis dot com go to the live

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Speaker 1: appearances tab and you'll find links there and get your

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Speaker 1: wallets out. We are thrilled to be joined in our

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Speaker 1: third seat by one of our favorite guests here is

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Speaker 1: like guys Mr Ja Keith fans ratting I'm a favorite

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Speaker 1: or one of the favorites. That really just means I'm

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Speaker 1: in the top half, yes, of above the median. Well,

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Speaker 1: once you get you know, three three under your belt,

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Speaker 1: you know you're in there. Yeah. What's the record? What's

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Speaker 1: the most appearances for something? What I have to Jamie

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Speaker 1: loftus with seven hundred thousand? Yes, I think I believe

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Speaker 1: that is gonna it's actually more episodes in the show,

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Speaker 1: so yeah, I don't know how it worked out. She

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Speaker 1: just sneaks in here and releases episodes of the days like, Uh,

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Speaker 1: how you doing, man, I'm doing great. Jamie was on

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Speaker 1: my show, Go fact yourself. She's awesome. I think it's

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Speaker 1: it's currently the first episode if you if you if

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Speaker 1: you go to our podcast page, it's the one that's

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Speaker 1: Aaron right now. Uh, And it was great we did

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Speaker 1: a So the format of our show was we have

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Speaker 1: two guests. They tell us topics that they know a

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Speaker 1: lot about, and then we pick one of them, we

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Speaker 1: quizz a quiz them on that, and we bring out

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Speaker 1: an expert in that field. You've done it as well.

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Speaker 1: You chose jaws to with your as your topic. You

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Speaker 1: chose jaws, all of them equally. Yeah, I don't think

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Speaker 1: that we didn't mean stupid. No, No, we definitely did

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Speaker 1: try to get the Woottange plan. We were told that

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Speaker 1: they were on an air plane at that time, and

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Speaker 1: I'm sure that's the only reason that they did not

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Speaker 1: appear for Jamie listeners. Of of of her in any format,

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Speaker 1: I will not be surprised that one of her topics

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Speaker 1: was Zamboni's Zamboni machine. So we did a whole quiz

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Speaker 1: about Zamboni's and we got the ice technician from the

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Speaker 1: l A. Kings and the guy who runs their practice

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Speaker 1: facility who handles the ice in the zambonies. Yeah, we

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Speaker 1: had them on the show, so we got to we

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Speaker 1: got to geek out about Zamboni's for a while, and

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Speaker 1: then the Kings offered her a ride on a Zamboni,

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Speaker 1: So we didn't know what happened. We just heard she

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Speaker 1: had got to ride the Zamboni. I don't know if

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Speaker 1: it's actually happened yet. I don't know if she did,

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Speaker 1: she had done the ride, drove it into a wall.

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Speaker 1: Is a disaster, just a instantaneous explosion. I hope she

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Speaker 1: updates her tattoo with that depiction, because I think that

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Speaker 1: would be But it was one of those you know,

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Speaker 1: every once in a while, you know, we do we

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Speaker 1: we do this. We've done our fifty episodes of the show,

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Speaker 1: and I would say maybe a quarter of them, there's

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Speaker 1: a moment where the guest realizes what's happening and who

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Speaker 1: their expert is and what they get to talk about.

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Speaker 1: She's sort of a joining of souls, and this was

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Speaker 1: one of those times, like she was just she was

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Speaker 1: so excited to talk about it and and to meet

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Speaker 1: these guys from the Kings. And then the King's guys

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Speaker 1: were so happy to talk. They love they love their job,

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Speaker 1: they know they know they got a great many Zamboni

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Speaker 1: fans out there. Yeah, and so uh and and they

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Speaker 1: were thrilled to meet her him. So call the Zambronies,

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Speaker 1: Is that right? Yes? Yes, our Zambonistas zambonistas. Uh, and

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Speaker 1: so it was great that they were put that together.

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Speaker 1: I got to meet one of the raiders of Jaws Too,

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Speaker 1: very Carl got me the very accomplished a writer. Yeah,

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Speaker 1: you also her expert. I know I was. He came back.

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Speaker 1: I just everything. Look, God, at this point, you did

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Speaker 1: very well. If I recalled, did you get all of

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Speaker 1: your questions? Yeah? Jaws Too was a movie that I

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Speaker 1: watched hundreds of times as the youth. I skipped NBA

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Speaker 1: game like this is when my family knew that I

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Speaker 1: would not be following in my grandfather and dad's legacy

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Speaker 1: as like a basketball guy because I skipped Doctor Jay's

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Speaker 1: I think one of his last games, definitely his last

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Speaker 1: game playing against one of my grandfather's teams to watch

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Speaker 1: Jaws Too. Because Joss two was on TV that night

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Speaker 1: and I played sick. I was like, you know, Joe's

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Speaker 1: too long calculus work. You knew, you saw that it

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Speaker 1: was gonna play, and You're like, funk, but I gotta

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Speaker 1: do this thing tonight. Gauge malingering, Yes, exactly, stayed in

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Speaker 1: watched it totally worth it. Yeah, yeah, job, I mean

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Speaker 1: I didn't care about things you actually watched the movie,

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Speaker 1: I believe the week prior to your appearance on the show,

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Speaker 1: which I'm shocked that more guests do not do. I

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Speaker 1: claimed that I watched it for the show, but actually

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Speaker 1: I would have watched it was I just watched it

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Speaker 1: every week because there was something else you were trying

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Speaker 1: to avoid that night, and actually, uh, it influenced my

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Speaker 1: wardrobe because Chief Brody has a short pair of khaki shorts.

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Speaker 1: Uh in that and I was like, man, he looks

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Speaker 1: good in those shorts. And it was summertime. So I

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Speaker 1: went and got a short pair of khaki shorts and

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Speaker 1: I couldn't pull it off, failed on him, bailed. Uh.

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Speaker 1: It really would have been great for the podcast for people.

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Speaker 1: No one knows. Everyone just sounds uncomfortable. I don't know

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Speaker 1: what it was about that episode. Everyone seemed distracted the

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Speaker 1: khaki shorts in the performance, fleece tops, everyone's everyone, everyone

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Speaker 1: started speaking anyone. Anytime they started speaking, they go huh um.

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Speaker 1: So I don't know what it is, but I'm uncomfortable.

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Speaker 1: We're gonna get you guys on Miles and Anna we gottades.

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Speaker 1: I can't wait that together. I would be interested to

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Speaker 1: hear what you guys expert areas of expert. I mean,

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Speaker 1: I know what Anna's two in Nature calls, right, gotta

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Speaker 1: be there's so many weird things that I'm very similar

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Speaker 1: in a way to Jack, where I would be like, oh,

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Speaker 1: I gotta watch this real quick. On Uh Anna's I'm

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Speaker 1: sure the Bachelor would be in there. Maybe a little

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Speaker 1: Mr Rogers. Uh yeah, anyways, the rest of this episode

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Speaker 1: is just gonna be a bad ana. Uh. Let's talk

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Speaker 1: out what we're talking about and then we'll get to

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Speaker 1: know you a little bit better. Jakey's we're talking about

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Speaker 1: the state of the Union one burner that I did

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Speaker 1: not watch at all. I did watch the mainstream media

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Speaker 1: coverage of it, and it was just like, oh, she

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Speaker 1: dragged him, he dissed her, just bullshit covering it like

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Speaker 1: it's a celebrity feud. Uh. We're gonna talk about Instagram

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Speaker 1: pulling in more revenue than YouTube. Now the trailer for Spiral,

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Speaker 1: the New saw a movie. Uh, where we're gonna talk

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Speaker 1: about America's favorite Valentine's candies. But first, Jake Keith, we

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

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Speaker 1: search history that's revealing about who you are. It's more

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Speaker 1: revealing than I would have thought I would have revealed.

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Speaker 1: I for reasons I cannot explain. Collect items that depict

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Speaker 1: a Sanrio character named bots Maru, who is an angry

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Speaker 1: little penguin. Uh. He is in the Hello Kitty family.

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Speaker 1: I've been doing it for twenty five plus years. I

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Speaker 1: have no idea why or what about it appeals to me.

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Speaker 1: But my entire bathroom is done in the style of

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Speaker 1: boats Maru. It's the it's the bottom room or the

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Speaker 1: bathroom room. Yes, well, because I've had to try to

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Speaker 1: I've had so many items. Uh. And then also especially

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Speaker 1: when I got really into eBay and you know, being

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Speaker 1: depressed all right, Uh, would just you know, would buy

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Speaker 1: all the stuff, and so I had to try to

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Speaker 1: limit it too, because there also would be all over

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Speaker 1: the house and there is some leakage. But I generally

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Speaker 1: try to confine it all to the bathroom. And then, uh,

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Speaker 1: the other the other limitation I try to put on

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Speaker 1: myself so I don't go broke or crazy, is I

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Speaker 1: only buy myself items that are actually functional, because if

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Speaker 1: you just go decorative, you know, you're gonna you're you're

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Speaker 1: you're gonna go broke. So you know, I get a

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Speaker 1: pan or a towel or toothbrush holder or whatnot. So

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Speaker 1: my latest thing is I I of course already have

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Speaker 1: a bots Mareu bath match, but it's it's getting a

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Speaker 1: little worse for the wear, so I wanted to look

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Speaker 1: for for one that was more quality. So one of

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Speaker 1: my more recent Google searches is bots Marou bath mat

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Speaker 1: and uh something, something's coming in the mail for me

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Speaker 1: next week. I remember growing up like Japanese, yes, Sam real,

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Speaker 1: you know, it's like a big, big thing and like

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Speaker 1: people only knew hello kitty very narrowly or ket op

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Speaker 1: or something right. Uh. When when bots Mattu came on,

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Speaker 1: I was like, okay, this, this dude has a little

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Speaker 1: bit of edge to So then that was one of

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Speaker 1: the first pencil boxes I took out. Um, very interesting

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Speaker 1: to hear that you have an entire bathroom. Yes to this,

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Speaker 1: this this is fantastic. There's a so older, there's a

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Speaker 1: whole there's a whole shelving that that has some of

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Speaker 1: the purely decorative items that I had gotten before. A

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Speaker 1: lot of clocks. I love that. Those are some among

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Speaker 1: my favorite things together about some root clocks and yeah,

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Speaker 1: and then unfortunately I have a I have a couple

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Speaker 1: of cats, and so a lot of stuff gets knocked

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Speaker 1: over and broken a lot. Also, I just recently lost

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Speaker 1: a little teacup set that I had that I'm I'm

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Speaker 1: a little heartbroken. But it's a little like Bart Simpson

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Speaker 1: as a penguin. I could see that unfort So a

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Speaker 1: few Halloweens ago, I bought myself you probably know the

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Speaker 1: Japanese term, but one of those full body um not

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Speaker 1: a furry costume exactly, but sort of like a full

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Speaker 1: body footie pajama thing, but like with the head and

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Speaker 1: forget the name of what those kind of things are called.

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Speaker 1: And I wore it out for Halloween, and the first

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Speaker 1: year maybe one person knew bouts Muru and generally kind

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Speaker 1: of ignored it. And then I started get getting people

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Speaker 1: thinking I was an angry bird, and that made me

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Speaker 1: I'm not. But I've helped to amortize the cost because

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Speaker 1: I've now wanted I believe, for three or four Halloween,

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Speaker 1: so it's it paid for itself. Yeah. Now does he

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Speaker 1: ever smile? No, he'll do I've not seen him smile.

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Speaker 1: He'll do a thing where I don't know what if

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Speaker 1: this is a cultural thing from the from Japanese or

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Speaker 1: if it refers to anything specific. But he'll do a

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Speaker 1: thing where he'll pull his eyelid down, like he'll pull

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Speaker 1: one of his one of his eyes down, and I

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Speaker 1: think that's supposed to show him like being a little cheeky,

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Speaker 1: like you're taunting something. Yeah. Yeah, but other times he

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Speaker 1: just looks sort of angry and badass. And also he's

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Speaker 1: got a girlfriend who's a seal named Hanna Muru. He's

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Speaker 1: called that's girlfriend. Yeah, he's got and he's only six.

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Speaker 1: So this guy's a player. But in penguin years, that's

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Speaker 1: forty two. Okay, maybe he's from gorgeous town. I mean clearly. Yeah,

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Speaker 1: I had a friend he's got a crocodile or alligator.

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Speaker 1: Friends looking at it, drawings of him hugging his girlfriend

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Speaker 1: and being hugged by a Hello kitty and just not

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Speaker 1: even having it one little bit. Yeah, And he's had

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Speaker 1: quite a career. I mean, he's been an astronaut, he's

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Speaker 1: been a basketball player, he has been a scientist. Six

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Speaker 1: years what a run? Six years in the game, six

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Speaker 1: years old? Yeah, what is something you think is overrated? Overrated?

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Speaker 1: I'm gonna go with bulkhead seats. Bulkhead seats on airplanes,

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Speaker 1: a lot of people are very excited to get the

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Speaker 1: front row. They feel like they want the extra leg room.

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Speaker 1: I guess you've you've easier access to get off of

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Speaker 1: the plane, but you can't have your bag down there

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Speaker 1: during the down there. And then sometimes you get to

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Speaker 1: the bulkhead seat and all the overhead been has already

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Speaker 1: taken taken something. They're supposed to save you space just

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Speaker 1: for the bulkhead people. They don't do that. But even

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Speaker 1: worse now a days, with all these passenger shaming you know,

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Speaker 1: Twitter accounts and all that, you see so many people

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Speaker 1: who just put their feet or bare feet up on

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Speaker 1: the wall in front. And then there was this video

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Speaker 1: I saw a few weeks ago where a dude was

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Speaker 1: in the bulkhead seat and was using his bare feet

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Speaker 1: to scroll through the touch screen. I fe and play

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Speaker 1: Entertainment Street on there. I don't want to be anywhere

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Speaker 1: near that or all that. Plus uh, you also get

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Speaker 1: that weird uh like quasi robotic tray table that you

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Speaker 1: could get out of the arm rest. Yeah, and then

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Speaker 1: you know, I'm not a smelt man as I used

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Speaker 1: to be, and so you can't. You don't relieve a

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Speaker 1: lot of room to to push it, to push it around.

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Speaker 1: It's very it's very wobbly. It's not that weirds that

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Speaker 1: need to happen before it. Yeah, it looks sort of

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Speaker 1: like when you see the footage of like before the

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Speaker 1: Right Brothers got their plane going of like people like

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Speaker 1: building this like like this armature like covering canvas, trying

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Speaker 1: to get like, I can't believe this is the best

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Speaker 1: technology that we have. Let's see and all that for

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Speaker 1: like maybe three extra inch of into the leg room.

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Speaker 1: But also you you're just steering at a wall the

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Speaker 1: hole also, but sometimes that wall, because it's just one

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Speaker 1: flat panel, you might not actually get as much if

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Speaker 1: you could kind of get your feet underneath the seat

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Speaker 1: in front of you. Sometimes I hit it and I'm like, dude,

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Speaker 1: I'm actually not getting more. Sometimes you need something to resist,

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Speaker 1: to resist, but also just entertainment wise, you're just staring

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Speaker 1: at a wall the whole time, and maybe then you

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Speaker 1: get to be even more jealous of the people in

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Speaker 1: first class because of you know, it's the first row

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Speaker 1: of economy. But then you miss out on seeing what

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Speaker 1: the people in front of you are doing. And I

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Speaker 1: don't know why, but one of my favorite things to

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Speaker 1: do on a plane is to see if there's entertainment screens.

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Speaker 1: I want to know what other people are watching. And

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Speaker 1: I can't do that if there's a wall in front,

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Speaker 1: or if the people in front of me are making out,

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Speaker 1: or if they're being drunk or what not. You miss

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Speaker 1: that on the people. Or maybe you're lucky enough and

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Speaker 1: you get a seat that does have a screen and

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Speaker 1: someone just crip walked all over it with their bare feet. Exactly.

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Speaker 1: You could just be like, exactly, that is a good

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Speaker 1: use of social media is to shame people who are

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Speaker 1: yes and no. I mean, I think it's good to

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Speaker 1: point out that, hey, this this is something we don't like.

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Speaker 1: But a lot of times my response to that is, oh, well,

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Speaker 1: have you tried to confront them about that or notified

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Speaker 1: the flight attendant or saying that's not cool? And it's

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Speaker 1: like now I'll just I'll just post some anonymous Caddy thing.

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Speaker 1: It's like, I feel that like that's sort of replaced.

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Speaker 1: So you're saying we'll bring that same energy in real life. Yeah, well,

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Speaker 1: but I mean, I mean you could. There's ways to

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Speaker 1: do it and be pos Like I was on a

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Speaker 1: train the other day and I'm usually very good about

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Speaker 1: keeping things quiet, but my uh, you know, with my

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Speaker 1: electronics and whatnot. But I'm trying to share a video

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Speaker 1: with my girlfriend and so I had the volume up

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Speaker 1: and the person behind came up, is that excuse me?

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Speaker 1: Could you please turn that volume down a little bit?

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Speaker 1: And I was so proud of her, like I wasn't like,

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Speaker 1: no if you and I was like, absolutely, I'm sorry

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Speaker 1: for bothering you. That is a correct social interaction. And

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Speaker 1: if she had just you know, put a video of

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Speaker 1: like look at this asshole, you know, hey, buddy, we

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Speaker 1: don't all want to hear what's going on in the

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Speaker 1: amazing race or you know whatever it was what we

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Speaker 1: do well well with a bad example obviously, uh, that

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Speaker 1: wouldn't have done anything right. So the fact that I

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Speaker 1: really encourage people to, you know, in a polite, nonbelieve,

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Speaker 1: a grant way, to take no for an answer if

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Speaker 1: somebody goes crazy. But I think that's so much more

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Speaker 1: important just taking than just taking videos and all that.

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Speaker 1: And then if they don't do it, then maybe you

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Speaker 1: put it out on the Twitter. Yeah. At the same time,

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Speaker 1: I I do feel like that's one of those things

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Speaker 1: where we need to be better citizens just in general,

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Speaker 1: the way we treat like planes are we we should

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Speaker 1: understand that planes don't get cleaned in between flights. They

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Speaker 1: get they clean up the visible dirt, They don't wipe

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Speaker 1: any surfaces down. The reason you maybe on a plane

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Speaker 1: is because it is not because the air isn't clean.

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Speaker 1: It's because you're in a petrie dish. You are sitting

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Speaker 1: in the equivalent of a public trash can. Like so right,

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Speaker 1: so by doing like gross ship like putting your feet

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Speaker 1: up there, you're just you're being a bad citizen like that.

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Speaker 1: That needs to be something that we as a culture. Yeah,

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Speaker 1: we're all in this together, and like that we need

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Speaker 1: to value that like being a better like more considerate

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Speaker 1: person who like always takes their trash with them after that,

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Speaker 1: and you know, I'm this country man, but like like

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Speaker 1: you know, like in general, right, it's culturally, it's not

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Speaker 1: built into the fabric here of looking after each other

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Speaker 1: or communal space. I would love to, but I just know,

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Speaker 1: like slowly the attitude is very much like me what

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Speaker 1: I'm doing from you excuse you make me like nor

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Speaker 1: is it typical excuse you make excuse okay, make me

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Speaker 1: turn this down. Okay, cowboy, you know now that you

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Speaker 1: say it, maybe that should have been my response. Excuse

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Speaker 1: you makes me? Make me go ahead, put me on live.

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Speaker 1: J Keith, what's something you think is underrated? Underrated? My

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Speaker 1: favorite television show of all time? I was. I was

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Speaker 1: just in Baltimore and reminded me of it is homicide

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Speaker 1: Life on the Street, and it drives me crazy that

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Speaker 1: it is not available on streaming at the moment. I'm

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Speaker 1: hoping that when this peacock thing that NBC does, it'll

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Speaker 1: it'll be on their it. But as far as I know,

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Speaker 1: it's not on streaming. And I really miss it because

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Speaker 1: I've I've watched the Wire, which is you know, about

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Speaker 1: a lot of the same people like over and over

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Speaker 1: because it's been on you know, the HBO streaming and

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Speaker 1: Netflix and whatever else, and so I really miss having that.

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Speaker 1: So I was in Baltimore and and with my cousin

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Speaker 1: and I was seeking out about it. She said, oh, well,

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Speaker 1: you know, if you want to go see where the

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Speaker 1: where they shot it, like where the police station was,

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Speaker 1: it's now this fancy hotel. And I was like, I

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Speaker 1: kind of do. So. Yeah, so I went, we went

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Speaker 1: to the fancy hotel. I got a picture of me

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Speaker 1: out on the stoop and I was expecting there to

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Speaker 1: be a plaque or something, and there was, there was,

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Speaker 1: there was. This is the location at seven. Uh. But

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Speaker 1: it's just interesting. So many people have I mean, so

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Speaker 1: many great things have come from the people who had

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Speaker 1: worked on that show, both behind the scenes, uh, you know,

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Speaker 1: the people and making the wire. And then of course

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Speaker 1: Andre Brauer and Ned Beatty was on that show, and

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Speaker 1: Melissa Leo now as an Oscar winner and and all

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Speaker 1: that stuff. And so I still think it's underrated. Um,

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Speaker 1: and I'm happy to be proven wrong. But I can't

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Speaker 1: watch it. So the only way to get it is

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Speaker 1: on is on DVD. I don't remember the last time

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Speaker 1: I played at DVD my home. I think my player

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Speaker 1: is connected. Uh. And the box that they made for it,

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00:19:02,800 --> 00:19:05,359
Speaker 1: it was at that time where uh they were making

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Speaker 1: they had to make like because people would go to

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Speaker 1: a store to see a box that today to catch

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Speaker 1: their eye. So they made this giant locker that look

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Speaker 1: like a police station locker room, which won't fit on

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Speaker 1: any show or anything. And it's like, I don't need

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Speaker 1: to own it. I just wanted to watch the exactly,

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00:19:20,440 --> 00:19:23,159
Speaker 1: but the UH and the Netflix. Now I don't have

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00:19:23,200 --> 00:19:25,680
Speaker 1: the I don't know anyone who still has the get

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00:19:25,680 --> 00:19:27,960
Speaker 1: the get the actual discs in the mail thing. But

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Speaker 1: the last time I had Netflix, UH the I literally

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Speaker 1: would wait because for some reason, someone out they only

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Speaker 1: had I think one copy of season seven disc two,

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00:19:37,720 --> 00:19:40,199
Speaker 1: and I got some person out there was not was

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00:19:40,240 --> 00:19:42,720
Speaker 1: refusing to return it. Yeah, so I had it for

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00:19:42,840 --> 00:19:44,560
Speaker 1: months to see it, to finally figure out how it

398
00:19:44,680 --> 00:19:46,959
Speaker 1: definally be reminded how it ended. But anyway, just being

399
00:19:47,040 --> 00:19:49,520
Speaker 1: Baltimore and just reminding them, being reminded of all the

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00:19:49,520 --> 00:19:51,080
Speaker 1: great people who have been on it. I still think

401
00:19:51,080 --> 00:19:53,679
Speaker 1: it's underrated. And whenever people ask what's your favorite Joe

402
00:19:53,720 --> 00:19:55,400
Speaker 1: of all time, a lot of them are like what

403
00:19:55,960 --> 00:19:59,640
Speaker 1: Hamed said? What the Joe? Mart? You know that kind

404
00:19:59,640 --> 00:20:02,920
Speaker 1: of thing. So I do think it's underrated. What I'm

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Speaker 1: gonna say, I don't remember exactly I'm gonna say, really

406
00:20:07,640 --> 00:20:10,400
Speaker 1: to mid nineties, I look like around nine one ish

407
00:20:10,440 --> 00:20:14,439
Speaker 1: to eight ish or so and on three, Okay, that's

408
00:20:14,480 --> 00:20:17,320
Speaker 1: that's ish. And it had a lot of it had

409
00:20:17,359 --> 00:20:19,479
Speaker 1: they had crossover episodes with Law and Order and they

410
00:20:19,480 --> 00:20:22,280
Speaker 1: had special get like Robin Williams came into an episode.

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Speaker 1: I think he might have won a name was the

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00:20:23,640 --> 00:20:26,520
Speaker 1: procedural Yeah, yeah, yeah, I just remember this as the

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Speaker 1: Richard Belzer show. Yeah you got the Bells. I mean

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00:20:28,760 --> 00:20:33,159
Speaker 1: that's like, that's the one rich I thought that was

415
00:20:33,200 --> 00:20:38,359
Speaker 1: a Law and Order show. Yeah right, there's like I

416
00:20:38,400 --> 00:20:40,080
Speaker 1: think I forget what he's up to, but I think

417
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Speaker 1: there's eight or nine shows where he's played Munch, So

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00:20:42,600 --> 00:20:46,520
Speaker 1: there's just like a a massive like shared universe of

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Speaker 1: yeah cop shows. Yeah, um, all right, well I got

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00:20:51,560 --> 00:20:54,200
Speaker 1: to check that out. That's much later than I thought.

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00:20:53,920 --> 00:20:55,760
Speaker 1: I thought it was like an eight Holy sh it,

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00:20:55,840 --> 00:20:58,639
Speaker 1: he's the third actor ever to play the same character

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Speaker 1: in six different rent prime time shows. Well, because they did.

424
00:21:02,600 --> 00:21:04,560
Speaker 1: He did it. He recorded I take on Arrested Development,

425
00:21:04,600 --> 00:21:06,880
Speaker 1: I think there was there was like a sitcom. Arrested

426
00:21:06,880 --> 00:21:09,920
Speaker 1: Development is in the same universe as Homicide. He played

427
00:21:09,920 --> 00:21:12,040
Speaker 1: the same character, and then on I think on thirty

428
00:21:12,119 --> 00:21:17,720
Speaker 1: Rock he also played and there was another comedy as

429
00:21:17,720 --> 00:21:20,600
Speaker 1: well when he came I think on up n Yeah, okay,

430
00:21:20,880 --> 00:21:24,120
Speaker 1: what's the what's the medical drama that ends where with

431
00:21:24,560 --> 00:21:29,639
Speaker 1: a Yeah, with a child on the spectrum, Yes, and

432
00:21:29,720 --> 00:21:31,800
Speaker 1: you realize the whole thing has been imagined by the

433
00:21:31,880 --> 00:21:34,399
Speaker 1: child is yes, which also means because there was some

434
00:21:34,440 --> 00:21:36,760
Speaker 1: crossover episode where they went on Cheers or something like

435
00:21:36,840 --> 00:21:39,119
Speaker 1: that means that all of that also was all on

436
00:21:39,160 --> 00:21:42,520
Speaker 1: the same and was bells are on that. I don't

437
00:21:42,520 --> 00:21:46,760
Speaker 1: believe so, but that. Yeah, that's an interesting one. Yeah,

438
00:21:46,760 --> 00:21:51,359
Speaker 1: that's because George went was doing it on Cheers saying elsewhere,

439
00:21:51,520 --> 00:21:55,320
Speaker 1: the Tortelly's Wings, the Simpsons and Fraser right the same,

440
00:21:55,480 --> 00:21:58,640
Speaker 1: all of that, and John Ratzenburger to write the same character, Yeah,

441
00:21:58,880 --> 00:22:01,480
Speaker 1: playing Cliff and Norm right on six different shows. So,

442
00:22:01,800 --> 00:22:04,080
Speaker 1: which means if it was all a dream on saying elsewhere,

443
00:22:04,080 --> 00:22:07,840
Speaker 1: that means dreams the reword of magazine. Uh. And finally,

444
00:22:07,840 --> 00:22:09,480
Speaker 1: what is a myth? What's something people think it is

445
00:22:09,520 --> 00:22:12,639
Speaker 1: true you know, to be false? Uh? That's an excellent

446
00:22:12,720 --> 00:22:15,480
Speaker 1: question that I oh, here, here's what it was. Uh.

447
00:22:15,520 --> 00:22:17,760
Speaker 1: The thing I think people think is is true that

448
00:22:17,960 --> 00:22:20,119
Speaker 1: it is false is that sup plantation is lame and

449
00:22:20,200 --> 00:22:23,440
Speaker 1: only for old people. I loves me some super Plantation.

450
00:22:24,440 --> 00:22:27,760
Speaker 1: I think they they they're high quality, high quality items.

451
00:22:27,760 --> 00:22:30,480
Speaker 1: For the most part. The pizzas are a little sketchy. Um,

452
00:22:30,520 --> 00:22:35,000
Speaker 1: they're very well staffed pizzas. Sup Plantations make pizza for

453
00:22:35,040 --> 00:22:37,439
Speaker 1: the little ice creams. To be fair, I don't know

454
00:22:37,480 --> 00:22:39,199
Speaker 1: if they actually call them pizzas. I think they call

455
00:22:39,280 --> 00:22:41,639
Speaker 1: them like cheese breads, Yeah, something like that. So so

456
00:22:41,760 --> 00:22:45,760
Speaker 1: they're not totally totally in, but uh, I get I

457
00:22:45,760 --> 00:22:47,320
Speaker 1: get cravings every once in a while, world, I just

458
00:22:47,359 --> 00:22:50,320
Speaker 1: gotta get me some sup plantation. And I love I like,

459
00:22:50,320 --> 00:22:51,960
Speaker 1: like I said, just the quality of ingredients. I like

460
00:22:52,040 --> 00:22:54,920
Speaker 1: that you can hack different, you know, different things together.

461
00:22:54,960 --> 00:22:56,439
Speaker 1: I like to make my own little eggs salad with

462
00:22:56,480 --> 00:22:59,679
Speaker 1: the crumbled hard boiled eggs and some pickles and other stuff. Uh.

463
00:23:00,520 --> 00:23:02,639
Speaker 1: One of the slacking, one of the bad raps. One

464
00:23:02,680 --> 00:23:04,280
Speaker 1: of the bad raps that it has is that it's

465
00:23:04,280 --> 00:23:06,080
Speaker 1: hard to it's hard to find a lot of of

466
00:23:06,080 --> 00:23:08,200
Speaker 1: meat because a lot of this because you know, they've

467
00:23:08,200 --> 00:23:10,560
Speaker 1: got to be economical, but how do so The trick

468
00:23:10,680 --> 00:23:12,880
Speaker 1: is you go to the chunky chicken noodle soup because

469
00:23:12,880 --> 00:23:15,159
Speaker 1: there's always big chunks of chicken in that laid all

470
00:23:15,200 --> 00:23:16,760
Speaker 1: that out, and then all of a sudden you put

471
00:23:16,800 --> 00:23:19,399
Speaker 1: it on your macaroni. You got a chicken macaroni and

472
00:23:19,480 --> 00:23:21,280
Speaker 1: put it on the salad. You had a chicken salad.

473
00:23:21,920 --> 00:23:24,879
Speaker 1: Look anyway, anyone anytime someone wants to undermine a plantation,

474
00:23:24,920 --> 00:23:27,919
Speaker 1: I'm awful. Yeah, that is one of the things that

475
00:23:27,960 --> 00:23:30,000
Speaker 1: I think. That's one's being like got a name, but

476
00:23:30,040 --> 00:23:32,200
Speaker 1: I love the little because there were two big chains

477
00:23:32,240 --> 00:23:34,640
Speaker 1: for a while, there was two plantation and soup exchange.

478
00:23:34,640 --> 00:23:36,880
Speaker 1: And when you heard the idea of plantation, you're like, well,

479
00:23:36,880 --> 00:23:38,280
Speaker 1: this is gonna be the one that fails. Why would

480
00:23:38,320 --> 00:23:40,840
Speaker 1: you transplation plantation? And then you think, oh wait, and

481
00:23:40,840 --> 00:23:42,920
Speaker 1: it's like I'm suppsed to bringing my old youth soup

482
00:23:42,960 --> 00:23:46,680
Speaker 1: and exchange it for new soup. That's the only one

483
00:23:46,760 --> 00:23:48,919
Speaker 1: possible worst idea that someone could have come up with.

484
00:23:49,040 --> 00:23:52,399
Speaker 1: And like those like ten gallons drums, like all right,

485
00:23:53,080 --> 00:23:57,960
Speaker 1: fill up but used soup. But two plantation two plantation

486
00:23:58,000 --> 00:23:59,920
Speaker 1: does really good stuff there. Soups are really good. Holiday

487
00:24:00,200 --> 00:24:02,720
Speaker 1: how there's always a coupon. You can find they thriving

488
00:24:02,800 --> 00:24:05,600
Speaker 1: elsewhere because in l A we only got like I know,

489
00:24:05,640 --> 00:24:07,760
Speaker 1: there's like that one in Brentwood. There's one O the

490
00:24:08,080 --> 00:24:14,479
Speaker 1: Brentwood where I once O. J. Simpson seven uh, there's

491
00:24:14,560 --> 00:24:18,159
Speaker 1: the seven uh there's one a Beverly connection on Lasianaga

492
00:24:18,200 --> 00:24:21,400
Speaker 1: and Beverly. There's one there in the other Beverly connection. Yeah. Interesting,

493
00:24:21,480 --> 00:24:23,960
Speaker 1: all all focused on that part of town. Only open

494
00:24:24,000 --> 00:24:26,000
Speaker 1: until nine. I feel like if they wanted to do

495
00:24:26,040 --> 00:24:28,879
Speaker 1: with Plantation after dark, if they like got like a

496
00:24:28,880 --> 00:24:32,240
Speaker 1: beer and wine license and then like up charged like

497
00:24:32,280 --> 00:24:37,120
Speaker 1: another five hours, I think that's that's a million dollar nights. Yeah, exactly.

498
00:24:37,160 --> 00:24:42,000
Speaker 1: They become they also become detectives for some reason. Yeah, yeah,

499
00:24:42,280 --> 00:24:45,359
Speaker 1: it could be a yeah, but I think Plantation is

500
00:24:45,400 --> 00:24:46,920
Speaker 1: kind of a punchline for a lot of people, and

501
00:24:46,920 --> 00:24:49,359
Speaker 1: and and it's really enjoyable and not in an ironic way.

502
00:24:49,840 --> 00:24:51,600
Speaker 1: When I when I worked on the West Side more

503
00:24:51,640 --> 00:24:54,040
Speaker 1: I would I would sort of force everyone to go

504
00:24:54,080 --> 00:24:56,159
Speaker 1: to Sue Plantation if we had time, because it's like

505
00:24:56,520 --> 00:24:58,600
Speaker 1: I'm making a bunch of soft serve. I keep talking

506
00:24:58,600 --> 00:25:02,119
Speaker 1: about that. Yeah. Oh with with the cookie bar, talking

507
00:25:02,119 --> 00:25:06,480
Speaker 1: to a cookie bar underneath, everyone can find something they want.

508
00:25:06,480 --> 00:25:08,840
Speaker 1: A girlfriend, the vegetarians, you get something. I like them

509
00:25:08,840 --> 00:25:12,199
Speaker 1: me to get something. What is the best You're romantic

510
00:25:12,200 --> 00:25:18,240
Speaker 1: about the antebell himself. Again, it's not perfect. It's like

511
00:25:18,280 --> 00:25:20,520
Speaker 1: I like everything about the Angels baseball team, except that

512
00:25:20,560 --> 00:25:22,440
Speaker 1: the fact that they're called the Los Angeles Angels, and

513
00:25:22,880 --> 00:25:24,800
Speaker 1: that means I can still root for the team even

514
00:25:24,840 --> 00:25:27,760
Speaker 1: though I don't like the title. It's very similar. Yeah, yeah, look,

515
00:25:27,800 --> 00:25:30,040
Speaker 1: you know it's wrong with the Angels, just the name

516
00:25:30,040 --> 00:25:32,680
Speaker 1: of it. The owner renamed it the Los Angeles Angels

517
00:25:32,680 --> 00:25:36,240
Speaker 1: of Anaheim, which right, alright, yeah, but you know, I

518
00:25:36,240 --> 00:25:38,720
Speaker 1: feel like the chunky chicken little Soup is sort of

519
00:25:38,720 --> 00:25:42,440
Speaker 1: the Mike Trout of super Plantation. Wow, okay, okay, all back,

520
00:25:43,080 --> 00:25:45,040
Speaker 1: all right, we're gonna take a quick break. We'll be

521
00:25:45,119 --> 00:26:01,000
Speaker 1: right back, and we're back. And Miles, I was not,

522
00:26:01,600 --> 00:26:07,000
Speaker 1: what are we doing that? Huh? I know, That's how

523
00:26:07,040 --> 00:26:10,000
Speaker 1: I usually start off heads. It's also how I'm starting

524
00:26:10,000 --> 00:26:13,840
Speaker 1: off the second about the State of the Union, because

525
00:26:14,200 --> 00:26:16,640
Speaker 1: I did not watch it. The only thing I've seen

526
00:26:16,840 --> 00:26:21,080
Speaker 1: about it is that Trump made a lot of claims

527
00:26:21,119 --> 00:26:25,560
Speaker 1: about how the best is yet to come and it's

528
00:26:25,560 --> 00:26:28,280
Speaker 1: been amazing thus far, and then Nancy Pelosi tore up

529
00:26:28,280 --> 00:26:31,080
Speaker 1: the speech. Yeah that's all you really. I mean, look,

530
00:26:32,080 --> 00:26:34,520
Speaker 1: it's there's never gonna be anything useful out of the

531
00:26:34,680 --> 00:26:37,360
Speaker 1: State of the Unions, especially with this president. It's just all,

532
00:26:37,840 --> 00:26:40,679
Speaker 1: it's just a fucking rally, just red meat party for

533
00:26:40,720 --> 00:26:46,720
Speaker 1: the base. And also some fantastic pandering, some next level

534
00:26:46,720 --> 00:26:50,600
Speaker 1: pandering for for the African American vote, whether that was

535
00:26:50,640 --> 00:26:53,600
Speaker 1: like uh, bringing out a Tusky airman and then like

536
00:26:53,640 --> 00:26:56,960
Speaker 1: giving him a promotion to I think brigadier general. They

537
00:26:57,000 --> 00:26:59,920
Speaker 1: where he brought up his you know, funding of historical

538
00:27:00,000 --> 00:27:04,560
Speaker 1: black colleges and universities, talked about black unemployment his favorite

539
00:27:04,680 --> 00:27:07,880
Speaker 1: favorite statistic, which is very interesting because you can see

540
00:27:07,880 --> 00:27:09,879
Speaker 1: he's that's sort of beginning to show a little bit

541
00:27:09,880 --> 00:27:11,520
Speaker 1: of his strategy, like he only got i think eight

542
00:27:11,520 --> 00:27:14,119
Speaker 1: percent of the black vote last time, and maybe he's thinking,

543
00:27:14,200 --> 00:27:17,840
Speaker 1: like if we can get just kind of shift people

544
00:27:17,880 --> 00:27:19,920
Speaker 1: to each each way. I was surprised just how many

545
00:27:19,920 --> 00:27:24,080
Speaker 1: outright lies there were for a speech that he that

546
00:27:24,119 --> 00:27:26,600
Speaker 1: he obviously read from a prompter, he obviously he'd been

547
00:27:27,119 --> 00:27:30,560
Speaker 1: given attention to invent it, and how much just demonstrably

548
00:27:30,600 --> 00:27:33,160
Speaker 1: false stuff like the stuff you can disagree with. There's

549
00:27:33,320 --> 00:27:35,680
Speaker 1: you know, the broad the broad statements. You know, I'm

550
00:27:35,760 --> 00:27:39,000
Speaker 1: sure that's that's massaging, you know, your your vision and whatnot,

551
00:27:39,200 --> 00:27:41,560
Speaker 1: but like just stuff about how stuff that he had

552
00:27:41,560 --> 00:27:43,960
Speaker 1: said he accomplished that had happened in the obomined resistation,

553
00:27:44,200 --> 00:27:46,119
Speaker 1: or saying stuff that's just based on numbers that it

554
00:27:46,200 --> 00:27:48,400
Speaker 1: is so easy to look up. Yeah, like saying that

555
00:27:48,480 --> 00:27:50,719
Speaker 1: you know, prescription drugs that have ever been cheaper. It's

556
00:27:50,760 --> 00:27:53,320
Speaker 1: like that's very misleading right on its face. When he

557
00:27:53,359 --> 00:27:57,760
Speaker 1: says we will always protect patients with pre exists when

558
00:27:57,760 --> 00:28:00,600
Speaker 1: they're literally in court trying to try fighting instead make

559
00:28:00,720 --> 00:28:04,280
Speaker 1: the Affordable Care Act unconstitutional. But it doesn't matter. That's

560
00:28:04,280 --> 00:28:06,679
Speaker 1: what it hurts so much. Yeah, it's like you have

561
00:28:06,720 --> 00:28:08,399
Speaker 1: to you have to look up things and pay attention

562
00:28:08,400 --> 00:28:10,879
Speaker 1: to those things to know that, and most people don't

563
00:28:10,960 --> 00:28:13,640
Speaker 1: and just uh yeah, I mean where there's a campaign

564
00:28:13,640 --> 00:28:16,000
Speaker 1: out of him just saying those things whether they're whether

565
00:28:16,040 --> 00:28:17,840
Speaker 1: it's true or not in it so even though it's

566
00:28:17,880 --> 00:28:20,920
Speaker 1: it's so easy to find out that it's not. With

567
00:28:21,000 --> 00:28:24,720
Speaker 1: his acquittal yesterday or today, we are now in a

568
00:28:24,760 --> 00:28:29,480
Speaker 1: presidency like I've read it described as like now the

569
00:28:29,720 --> 00:28:33,840
Speaker 1: presidency like the office of the president has unpresidented power.

570
00:28:34,280 --> 00:28:37,800
Speaker 1: But that's not true. It's this president has unprecedented power

571
00:28:37,840 --> 00:28:41,719
Speaker 1: because no other president, or at least Republican presidents, because

572
00:28:42,520 --> 00:28:45,200
Speaker 1: no democratic president would be able to get away with

573
00:28:46,760 --> 00:28:54,240
Speaker 1: like nothing without getting impeached. So it's it's definitely this president.

574
00:28:54,640 --> 00:28:58,480
Speaker 1: You know. Also he's willing to say just outright lies

575
00:28:58,560 --> 00:29:01,320
Speaker 1: with like he has he doesn't have a shame glance,

576
00:29:01,400 --> 00:29:04,160
Speaker 1: with a lot of confidence, with a lot of confidence,

577
00:29:04,360 --> 00:29:07,440
Speaker 1: and it's just it's kind of a perfect machine. And

578
00:29:07,480 --> 00:29:09,560
Speaker 1: there were this modern world. There were still some of

579
00:29:09,600 --> 00:29:12,320
Speaker 1: that slurring that was happening also, which I was surprised

580
00:29:12,320 --> 00:29:14,080
Speaker 1: by and I've not heard any coverage of which I

581
00:29:14,080 --> 00:29:15,960
Speaker 1: think is I think really could be an issue if

582
00:29:16,000 --> 00:29:19,120
Speaker 1: if we made absolutely I mean, there were those psychologists

583
00:29:19,120 --> 00:29:23,040
Speaker 1: who were like neurologists who got together like you need

584
00:29:23,080 --> 00:29:27,360
Speaker 1: to actually examine. At one point he said stanctuary cities. Yeah,

585
00:29:27,600 --> 00:29:30,200
Speaker 1: but that was actually just that was written. That was

586
00:29:31,200 --> 00:29:36,800
Speaker 1: at the Yeah, I thought it was a outcast reference

587
00:29:37,240 --> 00:29:42,800
Speaker 1: big sky track three. Um. Yeah, the other parts two

588
00:29:42,880 --> 00:29:48,040
Speaker 1: were so Again, the pandering was transparent when he literally

589
00:29:48,680 --> 00:29:52,160
Speaker 1: reunited a military family with like a father who had

590
00:29:52,200 --> 00:29:56,920
Speaker 1: been deployed and been like a surprise. Yeah in the

591
00:29:57,440 --> 00:29:58,840
Speaker 1: that was a great moment though, but it was a

592
00:29:58,840 --> 00:30:01,600
Speaker 1: pretty nothing to do with you being president. I'm not mad,

593
00:30:02,240 --> 00:30:05,680
Speaker 1: not mad one bit. It's a Reuniting TV program. It's

594
00:30:05,760 --> 00:30:09,680
Speaker 1: a little bit well, you're mad that they were reunited. No, no, no,

595
00:30:09,720 --> 00:30:12,320
Speaker 1: but that the whole you know, these viral videos go

596
00:30:12,360 --> 00:30:14,320
Speaker 1: around about to and To was reunited at a baseball

597
00:30:14,320 --> 00:30:16,840
Speaker 1: game or whatever else, and like, obviously it's wonderful that

598
00:30:16,840 --> 00:30:19,920
Speaker 1: that I'm only distilling it down to its most essential

599
00:30:19,960 --> 00:30:22,200
Speaker 1: thing that those humans have the experience and everything outside

600
00:30:22,200 --> 00:30:24,920
Speaker 1: of But in general I have a problem with that

601
00:30:25,000 --> 00:30:28,320
Speaker 1: because like, Okay, he obviously didn't just arrive at that moment.

602
00:30:28,320 --> 00:30:33,120
Speaker 1: He probably came in the night before. It's like, what,

603
00:30:34,120 --> 00:30:37,360
Speaker 1: I just don't feel over there, go back there and fight.

604
00:30:37,800 --> 00:30:40,760
Speaker 1: Imagine like you're you're you're you're fighting a war somewhere

605
00:30:41,320 --> 00:30:43,080
Speaker 1: I would be and they're saying, oh, you know what,

606
00:30:43,160 --> 00:30:46,240
Speaker 1: don't don't call or text your wife or children because

607
00:30:46,280 --> 00:30:47,480
Speaker 1: we want to have it, because we want to have

608
00:30:47,480 --> 00:30:50,760
Speaker 1: this video. Yeah, I just feel like, So that's what

609
00:30:50,800 --> 00:30:53,640
Speaker 1: I'm saying, Like for the people, the actual act of

610
00:30:53,920 --> 00:30:57,480
Speaker 1: like the reunification of people, just on its human essence.

611
00:30:57,640 --> 00:30:59,680
Speaker 1: I like that. Obviously I'm not I'm not a rose

612
00:31:00,360 --> 00:31:02,080
Speaker 1: you know. I think it's just like when it's done

613
00:31:02,160 --> 00:31:05,520
Speaker 1: so just cynically, like it's just purely. It shows you

614
00:31:05,560 --> 00:31:08,480
Speaker 1: again how he even views people who are serving in

615
00:31:08,480 --> 00:31:11,680
Speaker 1: the military. He's like, just just dig somebody up. I

616
00:31:11,680 --> 00:31:13,320
Speaker 1: can bring out there and do one of those videos

617
00:31:13,320 --> 00:31:15,000
Speaker 1: that go viral. Ye think. Ever, we're gonna do it

618
00:31:15,000 --> 00:31:17,080
Speaker 1: in the chamber, And of course that's one person coming

619
00:31:17,080 --> 00:31:19,680
Speaker 1: home for temporary amount of time, as opposed to the

620
00:31:19,760 --> 00:31:23,440
Speaker 1: thousands that are or even there or considering what your

621
00:31:23,480 --> 00:31:27,560
Speaker 1: policies and rhetoric to put those people in. Even I

622
00:31:27,600 --> 00:31:30,400
Speaker 1: was a little like just as as a democrat is

623
00:31:30,400 --> 00:31:32,720
Speaker 1: a little jealous that what he did that you know,

624
00:31:33,600 --> 00:31:36,080
Speaker 1: none of us the only one. Like again, it's the

625
00:31:36,200 --> 00:31:39,480
Speaker 1: lack of a shame gland and that is becoming sort

626
00:31:39,520 --> 00:31:44,560
Speaker 1: of the proper strategy. I think, like the Google ad

627
00:31:44,600 --> 00:31:47,120
Speaker 1: that everyone's like it made me cry, man, is like

628
00:31:47,880 --> 00:31:52,239
Speaker 1: that is just so it's such transparent bullshit, Like you

629
00:31:52,280 --> 00:31:56,360
Speaker 1: haven't even demonstrated a thing that Google does like that

630
00:31:56,520 --> 00:31:59,120
Speaker 1: is useful in any way, Like you pretty much could

631
00:31:59,120 --> 00:32:01,520
Speaker 1: have had the same ad with a tape recorder, right exactly.

632
00:32:01,560 --> 00:32:05,320
Speaker 1: You know, but but they are you know, you can

633
00:32:05,360 --> 00:32:09,880
Speaker 1: get away with it by just be creating viral videos. Yeah,

634
00:32:10,040 --> 00:32:13,760
Speaker 1: this is he's gonna this is us his way into reelection. Yeah,

635
00:32:13,800 --> 00:32:15,760
Speaker 1: exactly right. But Obama never would have done that, not

636
00:32:15,800 --> 00:32:17,800
Speaker 1: because he didn't want families to be reunited, because he

637
00:32:17,840 --> 00:32:20,120
Speaker 1: didn't want to make it about him. Yeah, he's not dignity.

638
00:32:20,200 --> 00:32:23,160
Speaker 1: He's not deploying these people as merely ponds for him

639
00:32:23,200 --> 00:32:25,200
Speaker 1: to exploit for his own personal game, which has been

640
00:32:25,240 --> 00:32:27,960
Speaker 1: the whole thing and everything is like, let me just

641
00:32:28,040 --> 00:32:30,840
Speaker 1: go down a list of people to pander two and

642
00:32:31,080 --> 00:32:33,480
Speaker 1: the thing that's that may be the worst thing I've

643
00:32:33,480 --> 00:32:38,520
Speaker 1: ever seen. Yeah, just decorating America's favorite racist with a

644
00:32:38,680 --> 00:32:42,600
Speaker 1: freedom metal just like what again, I mean, but this

645
00:32:42,640 --> 00:32:45,240
Speaker 1: is what he's doing that nothing has. He's taking the

646
00:32:45,320 --> 00:32:48,320
Speaker 1: meaning out of institutions and these like awards and things

647
00:32:48,360 --> 00:32:51,200
Speaker 1: like that because he deploys them just however he needs to,

648
00:32:51,360 --> 00:32:53,440
Speaker 1: for you know, a good stuff for people who don't

649
00:32:53,440 --> 00:32:57,200
Speaker 1: pay attention, just which is most people. Uh, you know this, Look,

650
00:32:57,240 --> 00:32:59,480
Speaker 1: there's a lot of stuff that looked sounded great. Yeah,

651
00:32:59,760 --> 00:33:01,240
Speaker 1: you know, you gotta hand it to him, for he

652
00:33:01,320 --> 00:33:03,520
Speaker 1: was disciplined in terms of sticking to the script and

653
00:33:03,560 --> 00:33:05,920
Speaker 1: not not going off into crazy, which is how the

654
00:33:05,960 --> 00:33:09,520
Speaker 1: media will cover it. As you know, for Trump, this

655
00:33:09,600 --> 00:33:12,000
Speaker 1: is great. This is the night that Trump became president,

656
00:33:13,320 --> 00:33:15,280
Speaker 1: I think, yeah, you don't go that far, but you

657
00:33:15,320 --> 00:33:18,200
Speaker 1: have to say, like damn though, like based on how

658
00:33:18,360 --> 00:33:20,400
Speaker 1: most people are going to take that, and that worked

659
00:33:20,440 --> 00:33:23,960
Speaker 1: for him. I think it's despicable, but it's probably effective.

660
00:33:24,200 --> 00:33:27,000
Speaker 1: On something that is how the mainstream media is now

661
00:33:27,080 --> 00:33:30,920
Speaker 1: covering like the entire world, like everything that matters in

662
00:33:31,200 --> 00:33:34,120
Speaker 1: US politics. Like that's, uh, what I wanted to talk

663
00:33:34,160 --> 00:33:37,440
Speaker 1: about next is just how the mainstream media is covering

664
00:33:37,880 --> 00:33:39,880
Speaker 1: like not just the State of the Union, which was

665
00:33:39,920 --> 00:33:44,680
Speaker 1: like what a sick burned by Nancy Pelosi and like

666
00:33:44,800 --> 00:33:48,000
Speaker 1: the sort of back and forth like war of words,

667
00:33:48,120 --> 00:33:52,440
Speaker 1: but like also how they're covering like the impeachment, the

668
00:33:53,080 --> 00:33:58,760
Speaker 1: fact that Doug Jones is voting to convict They're like, wow,

669
00:33:58,840 --> 00:34:02,520
Speaker 1: I can't believe he's doing that. That's like really, that's dumb.

670
00:34:03,120 --> 00:34:08,520
Speaker 1: It's like strategically questionable and like it's it's just and

671
00:34:08,560 --> 00:34:13,560
Speaker 1: then the with the Iowa caucus there they cover They're

672
00:34:13,600 --> 00:34:17,880
Speaker 1: not like covering the class based campaign or the class

673
00:34:17,880 --> 00:34:21,360
Speaker 1: based issues of Bernie Sanders. They're covering it from a

674
00:34:21,400 --> 00:34:24,160
Speaker 1: horse race perspective, like what will the Democrats do to

675
00:34:24,200 --> 00:34:28,839
Speaker 1: stop him? On MSNBC, out in front after with with

676
00:34:28,960 --> 00:34:32,719
Speaker 1: the incomplete results in and also like if you look

677
00:34:32,760 --> 00:34:35,759
Speaker 1: at everything else, what aside from a good performance in

678
00:34:35,760 --> 00:34:39,160
Speaker 1: Iowa's suggesting to you, aside from the panic over Joe

679
00:34:39,200 --> 00:34:42,239
Speaker 1: Biden not doing well, like they're saying, like, Okay, dude,

680
00:34:42,280 --> 00:34:44,719
Speaker 1: we gotta who who are we gonna like talk nice

681
00:34:44,719 --> 00:34:47,759
Speaker 1: about because it can't be Bernie? Right, I mean yeah.

682
00:34:48,040 --> 00:34:53,040
Speaker 1: The surprising thing I think is how many people didn't

683
00:34:53,239 --> 00:34:57,720
Speaker 1: vote for a Democrat. Like the democratic field no longer

684
00:34:57,800 --> 00:35:02,000
Speaker 1: has a Democrat, can at it that has like a

685
00:35:02,120 --> 00:35:04,799
Speaker 1: very clear path or like a very clear you know,

686
00:35:04,880 --> 00:35:07,560
Speaker 1: you have Bloomberg who's a Republican who seems like he

687
00:35:07,680 --> 00:35:11,200
Speaker 1: might be now ray pick up steam, like if it

688
00:35:11,239 --> 00:35:15,680
Speaker 1: goes to a brokered convention. Biden is like who everybody

689
00:35:15,719 --> 00:35:18,319
Speaker 1: thought was going to be the traditional Democratic candidate and

690
00:35:18,320 --> 00:35:22,560
Speaker 1: now he's looking very shaky. And Bernie, who is a

691
00:35:22,600 --> 00:35:27,000
Speaker 1: democratic socialist, he's not a traditional Democrat, And I feel

692
00:35:27,000 --> 00:35:30,320
Speaker 1: like that would be the thing that people would be

693
00:35:30,360 --> 00:35:32,560
Speaker 1: talking about, is like what's driving this? It seems like

694
00:35:32,640 --> 00:35:36,840
Speaker 1: people are disillusioned with, you know, our two party system. Clearly,

695
00:35:36,920 --> 00:35:42,200
Speaker 1: when Trump was not a Republican, he was his own authoritarian,

696
00:35:42,360 --> 00:35:44,359
Speaker 1: weird mixture. I think a lot of that stuff has

697
00:35:44,360 --> 00:35:46,000
Speaker 1: been happening for a while. I think what strikes me

698
00:35:46,080 --> 00:35:49,560
Speaker 1: is just is new, is just that we've we've got

699
00:35:49,560 --> 00:35:51,640
Speaker 1: a president who was impeached, who was making a State

700
00:35:51,680 --> 00:35:53,239
Speaker 1: of the Union address. We've got a president who was

701
00:35:53,280 --> 00:35:56,600
Speaker 1: impeached and people are are are running, you know, against him,

702
00:35:56,760 --> 00:36:00,160
Speaker 1: and how that's not the biggest craziest thing to happen

703
00:36:00,000 --> 00:36:04,040
Speaker 1: and accused rapists, right, and then everybody's like, you know,

704
00:36:04,040 --> 00:36:07,280
Speaker 1: when Mike Pence was like, you know, when seeing Nancy

705
00:36:07,320 --> 00:36:10,040
Speaker 1: Pelosi rip up the speech, I thought, I thought she

706
00:36:10,200 --> 00:36:12,239
Speaker 1: she might as well have been ripping up the Constitution.

707
00:36:12,760 --> 00:36:16,240
Speaker 1: It's like, give me the biggest fucking break ever given

708
00:36:16,360 --> 00:36:19,759
Speaker 1: in the history of the universe, please, sir. Like and

709
00:36:20,040 --> 00:36:22,520
Speaker 1: the other thing that we're missing from all of this,

710
00:36:22,680 --> 00:36:24,920
Speaker 1: right aside from the Buddhaja stuff, is there was this

711
00:36:24,960 --> 00:36:27,000
Speaker 1: moment where a lot of people were talking about when, um,

712
00:36:27,040 --> 00:36:29,320
Speaker 1: I think it was need to turner from the Sanders campaign,

713
00:36:29,320 --> 00:36:32,879
Speaker 1: basically said Mike Bloomberg's and Oligarch, Yeah, that's accurate, and

714
00:36:33,080 --> 00:36:34,799
Speaker 1: the one of the other punnies like, oh, I think

715
00:36:34,840 --> 00:36:37,759
Speaker 1: that's really unfair to get messy and calm and aligarch

716
00:36:37,800 --> 00:36:40,480
Speaker 1: While let's okay, you can argue the sort of semantics,

717
00:36:40,480 --> 00:36:42,279
Speaker 1: but I think what's really going on there is they

718
00:36:42,280 --> 00:36:44,920
Speaker 1: don't need to end like they don't need class consciousness

719
00:36:45,000 --> 00:36:47,480
Speaker 1: to enter how these things are covered. They don't. You're

720
00:36:47,480 --> 00:36:50,760
Speaker 1: never gonna hear MSNBC talk about like the stock market

721
00:36:50,760 --> 00:36:53,480
Speaker 1: actually doesn't matter in the grand scheme of things because

722
00:36:53,560 --> 00:36:55,400
Speaker 1: like most of the stocks are owned by like the

723
00:36:55,440 --> 00:36:58,600
Speaker 1: top one percent, So I mean, I don't know why

724
00:36:58,760 --> 00:37:01,600
Speaker 1: that matters, but you'll never hear that because that that's

725
00:37:01,600 --> 00:37:03,960
Speaker 1: like sort of the rubicon the media isn't willing to

726
00:37:04,000 --> 00:37:06,879
Speaker 1: cross quite yet, because when you do, then you really

727
00:37:06,920 --> 00:37:09,680
Speaker 1: have to say like rather than being like, wow, there's

728
00:37:09,680 --> 00:37:11,800
Speaker 1: a Bernie has a lot of support from college students

729
00:37:11,800 --> 00:37:14,000
Speaker 1: are trying to reduce it, or even like Elizabeth Warren's

730
00:37:14,000 --> 00:37:16,399
Speaker 1: policies have a lot of support from these things. There's

731
00:37:16,400 --> 00:37:19,560
Speaker 1: never a real examination as to why people are motivated

732
00:37:19,600 --> 00:37:24,000
Speaker 1: to maybe say, yeah, we have a completely fucked taxation system,

733
00:37:24,280 --> 00:37:26,560
Speaker 1: and your examples that are probably motivating people. It's just

734
00:37:26,640 --> 00:37:29,120
Speaker 1: done so broad enough where it's like, look, if you're

735
00:37:29,160 --> 00:37:31,879
Speaker 1: not interested, you hear the sound bite and you're like, yeah,

736
00:37:31,920 --> 00:37:34,400
Speaker 1: maybe that makes sense, but it's never gonna get specific

737
00:37:34,440 --> 00:37:36,520
Speaker 1: enough where someone's gonna be like, hold on, Maybe maybe

738
00:37:36,520 --> 00:37:38,919
Speaker 1: I'm this is something I need to know about. Maybe

739
00:37:38,960 --> 00:37:41,200
Speaker 1: I need to understand what the power dynamics are and

740
00:37:41,640 --> 00:37:43,040
Speaker 1: that affects me. I feel like I'm hearing more in

741
00:37:43,080 --> 00:37:47,040
Speaker 1: mainstream about corporate tax evasion. I feel like that's becoming

742
00:37:47,080 --> 00:37:49,120
Speaker 1: more mainstream. You know, you hear about like Amazon not

743
00:37:49,120 --> 00:37:51,320
Speaker 1: paying any taxes and all these big companies. But I

744
00:37:51,320 --> 00:37:53,879
Speaker 1: don't know if it's explained why that matters to people.

745
00:37:53,920 --> 00:37:56,440
Speaker 1: But they'll never but I guess the thing of like understood,

746
00:37:56,600 --> 00:37:58,640
Speaker 1: it won't be put in this sense of like there

747
00:37:58,680 --> 00:38:01,719
Speaker 1: are stakes for people who who are the workers, and

748
00:38:01,760 --> 00:38:03,440
Speaker 1: then there are stakes for the people who are the

749
00:38:03,480 --> 00:38:06,759
Speaker 1: owners of the business and how that relationship works on

750
00:38:06,800 --> 00:38:09,920
Speaker 1: each other, because that, I think begins to really reveal

751
00:38:10,120 --> 00:38:14,200
Speaker 1: the how the power dynamic is laid out in this country. Um,

752
00:38:14,239 --> 00:38:17,160
Speaker 1: but yeah, it's just that there's a lot of I

753
00:38:17,160 --> 00:38:20,360
Speaker 1: think a lot of panic going on, especially with the

754
00:38:20,400 --> 00:38:23,600
Speaker 1: media too, because they thought for most people, you really

755
00:38:23,600 --> 00:38:28,319
Speaker 1: thought like Joe Biden was it and we were performed. Bro,

756
00:38:28,440 --> 00:38:30,960
Speaker 1: nobody here wants Joe Biden actually in Iowa. So now

757
00:38:30,960 --> 00:38:35,000
Speaker 1: they're like between, Okay, so Biden is clearly so there's

758
00:38:35,040 --> 00:38:38,120
Speaker 1: that story Biden underperformed and we know how to cover that.

759
00:38:38,200 --> 00:38:42,560
Speaker 1: Buddha jedge there now like leaning into him possibly being

760
00:38:42,600 --> 00:38:47,960
Speaker 1: the leading like moderate candidate, but he doesn't really have

761
00:38:48,600 --> 00:38:53,400
Speaker 1: like a very clear pet Like New Hampshire he's in third. Uh,

762
00:38:53,760 --> 00:38:58,600
Speaker 1: Nevada he's in fifth behind Tom Stire. Uh in South

763
00:38:58,600 --> 00:39:02,080
Speaker 1: Carolina he's in six. But so like it doesn't matter

764
00:39:02,080 --> 00:39:03,920
Speaker 1: how many black people he puts in the front row

765
00:39:03,920 --> 00:39:07,120
Speaker 1: of his rallies were not convinced, right, So it's just

766
00:39:07,160 --> 00:39:11,279
Speaker 1: not clear like how that it seems like the way

767
00:39:11,320 --> 00:39:14,080
Speaker 1: they're covering it is his entire strategy was getting a

768
00:39:14,120 --> 00:39:17,799
Speaker 1: media bump from Iowa, like which is what Iowa is

769
00:39:17,960 --> 00:39:21,400
Speaker 1: important because of UH And they're like, well, he succeeded.

770
00:39:21,480 --> 00:39:24,040
Speaker 1: He is getting a bump right now because we just

771
00:39:24,200 --> 00:39:29,320
Speaker 1: said this sentence. Bryan Williams called him the presumptive winner

772
00:39:29,400 --> 00:39:32,319
Speaker 1: of the Iowa CAUCUSUS And I think a producer was

773
00:39:32,360 --> 00:39:34,400
Speaker 1: screaming in his earpiece because later on he was like,

774
00:39:34,719 --> 00:39:37,440
Speaker 1: just to clarify, I will you know when I was

775
00:39:37,440 --> 00:39:41,080
Speaker 1: in that helicopter in iraq, I mean that we have

776
00:39:41,200 --> 00:39:43,759
Speaker 1: the decision desk has not said either way made a

777
00:39:43,800 --> 00:39:46,800
Speaker 1: decision on who was one. Yeah, it's just like with

778
00:39:46,800 --> 00:39:50,600
Speaker 1: with the Sanders thing, it seems like, like you said,

779
00:39:50,600 --> 00:39:54,120
Speaker 1: there's a rubicon that they're unable to like get past

780
00:39:54,280 --> 00:39:58,880
Speaker 1: because he's been like surging for a while and the

781
00:39:59,080 --> 00:40:04,120
Speaker 1: only version of that story that they're able to process

782
00:40:04,360 --> 00:40:08,000
Speaker 1: is what will democrats do to stop him? Like what

783
00:40:08,080 --> 00:40:11,359
Speaker 1: once he starts having success? It's like, well, what can

784
00:40:11,400 --> 00:40:13,560
Speaker 1: they do to stop him? He's not you know, how

785
00:40:13,600 --> 00:40:17,400
Speaker 1: are people panicking but they're not covering like the actual

786
00:40:17,880 --> 00:40:20,759
Speaker 1: how do how do his ideas compared to in terms

787
00:40:20,800 --> 00:40:24,879
Speaker 1: of affecting most people? Like what are understand what's going

788
00:40:24,920 --> 00:40:27,040
Speaker 1: on so they can make a decision so they'll cover

789
00:40:27,440 --> 00:40:30,640
Speaker 1: like the horse race perspective? How do democrats stop him?

790
00:40:30,840 --> 00:40:34,279
Speaker 1: Or like the sound bite what you know, is it

791
00:40:34,280 --> 00:40:36,840
Speaker 1: fair to call Mike Bloomberger knowledge? Well that just shows

792
00:40:36,840 --> 00:40:39,200
Speaker 1: you the stakes though to write as a pundit, you're like, oh,

793
00:40:39,280 --> 00:40:42,840
Speaker 1: I'm loving this how she ripped up that speech or whatever,

794
00:40:43,400 --> 00:40:46,840
Speaker 1: rather than being like, what is the experience like of

795
00:40:46,960 --> 00:40:51,040
Speaker 1: somebody who is a single parent who has three jobs,

796
00:40:51,400 --> 00:40:54,719
Speaker 1: who had maybe has a medical condition, and what is

797
00:40:54,760 --> 00:40:57,200
Speaker 1: that reality of that person? Is that the kind of

798
00:40:57,239 --> 00:41:00,160
Speaker 1: life that we want people to live here? Or can

799
00:41:00,239 --> 00:41:02,360
Speaker 1: we look at what, you know, what are the forces

800
00:41:02,400 --> 00:41:04,440
Speaker 1: that play that are putting this person in this position

801
00:41:04,520 --> 00:41:06,799
Speaker 1: and examine that so we can do something better as

802
00:41:06,800 --> 00:41:10,799
Speaker 1: a country, Right, Like damn fucking ether Trump would that?

803
00:41:11,080 --> 00:41:13,840
Speaker 1: It's like, dude, that's not what those aren't the fucking steaks?

804
00:41:13,960 --> 00:41:16,320
Speaker 1: How does that convince somebody who's not already a supporter?

805
00:41:16,560 --> 00:41:19,719
Speaker 1: Like I think people like you see this in podcast,

806
00:41:19,800 --> 00:41:24,200
Speaker 1: People like to hear, like you tell the story of

807
00:41:24,280 --> 00:41:27,360
Speaker 1: how something works, like from be it, Like you mentioned

808
00:41:27,520 --> 00:41:31,719
Speaker 1: the corporate evasion of taxation, like that would be like

809
00:41:31,840 --> 00:41:35,200
Speaker 1: people would tune in to hear. Okay, here's how much

810
00:41:35,200 --> 00:41:37,280
Speaker 1: Amazon would pain and here's what it could have paid

811
00:41:37,320 --> 00:41:41,560
Speaker 1: for in like for America, here's the public aid that

812
00:41:41,640 --> 00:41:46,440
Speaker 1: would have not used. If there's just like this giant

813
00:41:46,520 --> 00:41:50,040
Speaker 1: blind spot that like the that the mainstream media just

814
00:41:50,080 --> 00:41:53,799
Speaker 1: seems to be unwilling. It's because it's the advertising too.

815
00:41:53,920 --> 00:41:58,359
Speaker 1: They're all fucking inter like interwoven. So it's like, well, fuck,

816
00:41:58,400 --> 00:42:00,760
Speaker 1: if I if I start talking, really, if I really

817
00:42:00,800 --> 00:42:03,720
Speaker 1: examine how Jeff Bezos is doing all this tax evasion

818
00:42:03,760 --> 00:42:06,000
Speaker 1: with Amazon or all the breaks that he gets, and

819
00:42:06,080 --> 00:42:08,600
Speaker 1: relate that to people in a way that they start realizing,

820
00:42:08,640 --> 00:42:10,880
Speaker 1: hold the funk up, This guy saved all that money

821
00:42:11,120 --> 00:42:13,839
Speaker 1: and we still aren't fixing the water in Flint. Like

822
00:42:13,880 --> 00:42:17,120
Speaker 1: what you know, if they did that every time, always compared,

823
00:42:17,360 --> 00:42:19,360
Speaker 1: this money would have paid for the public schools in

824
00:42:19,400 --> 00:42:21,919
Speaker 1: this place, could have got your rural WiFi here, could

825
00:42:21,920 --> 00:42:24,920
Speaker 1: have helped for hospitals in these rural areas. Like, if

826
00:42:24,960 --> 00:42:28,759
Speaker 1: you do that, then people start actually functionally understanding how

827
00:42:28,880 --> 00:42:31,319
Speaker 1: how bad these things are. But you can't do that

828
00:42:31,360 --> 00:42:34,960
Speaker 1: because then you don't get your aws advertising, you know,

829
00:42:35,120 --> 00:42:38,280
Speaker 1: buying a huge chunk of ad blocks on your shows

830
00:42:38,280 --> 00:42:41,200
Speaker 1: and on your network. So it's it's tough. Yeah. I

831
00:42:41,200 --> 00:42:44,399
Speaker 1: feel like the the media treats it like, oh, well,

832
00:42:44,400 --> 00:42:48,359
Speaker 1: nobody's gonna watch like stories about single parents or you know,

833
00:42:48,480 --> 00:42:51,800
Speaker 1: because it feels too much like eat your vegetables kids,

834
00:42:51,840 --> 00:42:55,960
Speaker 1: But like there are ways to tell stories that are

835
00:42:56,000 --> 00:42:59,400
Speaker 1: that people are dying to hear. Yes that the media

836
00:42:59,520 --> 00:43:02,440
Speaker 1: just is it. I can't Like That's what I'm struggling

837
00:43:02,440 --> 00:43:06,000
Speaker 1: with is are they consciously making that decision? Is it

838
00:43:06,200 --> 00:43:12,680
Speaker 1: just this sort of TV based idea that the list

839
00:43:12,840 --> 00:43:15,880
Speaker 1: the viewer is stupid and so it's a line of

840
00:43:15,960 --> 00:43:17,920
Speaker 1: least resistance. A lot of times you look at all

841
00:43:17,960 --> 00:43:19,879
Speaker 1: the newsroom cuts that have happened. Also, it's a lot

842
00:43:19,920 --> 00:43:22,520
Speaker 1: easier to receive a press release about a poll and

843
00:43:22,560 --> 00:43:24,840
Speaker 1: then talk about the poll and analyze the pole than

844
00:43:24,880 --> 00:43:28,280
Speaker 1: to go out there and do yeah and do journalism. Yeah,

845
00:43:28,400 --> 00:43:30,479
Speaker 1: there are exceptions, obviously. I mean there was that great

846
00:43:30,480 --> 00:43:32,319
Speaker 1: story was at the New York Times. It had the

847
00:43:32,320 --> 00:43:35,520
Speaker 1: thing about the US Bank employee that that tried to

848
00:43:35,560 --> 00:43:37,880
Speaker 1: help someone who was who couldn't get money for gas,

849
00:43:37,880 --> 00:43:41,080
Speaker 1: and then I got fired for giving someone twenty Yeah. Yeah, Like,

850
00:43:41,080 --> 00:43:42,680
Speaker 1: I think there are those kinds of stories out there,

851
00:43:42,880 --> 00:43:45,759
Speaker 1: but there's there's too much of you know, interviewing, even

852
00:43:45,760 --> 00:43:48,399
Speaker 1: interviewing white men and diners. I also think, though, too,

853
00:43:48,440 --> 00:43:50,200
Speaker 1: like at a certain level that people who are that

854
00:43:50,320 --> 00:43:53,200
Speaker 1: I love min and being interviewed, the people who are

855
00:43:53,200 --> 00:43:57,200
Speaker 1: the decision makers, and also the people who like are reporting.

856
00:43:57,680 --> 00:44:01,799
Speaker 1: At a certain point, they exit a certain class and

857
00:44:01,840 --> 00:44:05,040
Speaker 1: are surrounded by people whose problems are not are are

858
00:44:05,160 --> 00:44:08,440
Speaker 1: not the same as someone who is truly struggling to

859
00:44:08,520 --> 00:44:10,879
Speaker 1: make ends. Meet. So I think as you the more

860
00:44:10,920 --> 00:44:13,480
Speaker 1: time you spend away from people like that, the less

861
00:44:13,560 --> 00:44:16,400
Speaker 1: real that becomes. And then you start to you a

862
00:44:16,480 --> 00:44:20,080
Speaker 1: problem is like wow, like like there's a waiting list

863
00:44:20,120 --> 00:44:23,759
Speaker 1: for a Tesla su or whatever it is, Like you

864
00:44:23,800 --> 00:44:27,680
Speaker 1: start that there's just a a lack of connection. I think,

865
00:44:27,680 --> 00:44:30,919
Speaker 1: to understand what the experience is like from top to bottom,

866
00:44:30,960 --> 00:44:33,440
Speaker 1: and that's what happened. I think that's that that's always

867
00:44:33,440 --> 00:44:36,160
Speaker 1: the risk of any kind of bubble. You operated, everyone

868
00:44:36,239 --> 00:44:39,279
Speaker 1: has some sort of you know, biases that they're operating under.

869
00:44:39,320 --> 00:44:41,840
Speaker 1: But I think that also another contributing factor to the

870
00:44:42,000 --> 00:44:44,840
Speaker 1: like lack of diversity and reporting. We see two of

871
00:44:44,880 --> 00:44:46,719
Speaker 1: the kinds of stories we're telling, and I'm saying about

872
00:44:46,719 --> 00:44:48,879
Speaker 1: more racial diversity. Like they'll have you know, they'll have

873
00:44:49,200 --> 00:44:51,320
Speaker 1: a panel of pundits on CNN and you'll see, you know,

874
00:44:51,360 --> 00:44:54,120
Speaker 1: you'll see across that that spectrum. But it's not but

875
00:44:54,160 --> 00:44:56,960
Speaker 1: it's punditory. It's not a it's not it's not a

876
00:44:56,960 --> 00:45:00,160
Speaker 1: diversity of people who have who are stakeholders. And that's

877
00:45:00,160 --> 00:45:02,560
Speaker 1: something that I'd like to see more of people representing

878
00:45:02,640 --> 00:45:05,040
Speaker 1: you know, the poor or the homeless or you know,

879
00:45:05,800 --> 00:45:09,080
Speaker 1: union members union leaders, that kind of thing. Having a

880
00:45:09,120 --> 00:45:12,600
Speaker 1: person who grew up poor right about what it was

881
00:45:12,680 --> 00:45:17,359
Speaker 1: like to grow up poor at CRACKT was like incredibly

882
00:45:17,440 --> 00:45:19,920
Speaker 1: popular and like people were like, oh my god, I've

883
00:45:19,960 --> 00:45:23,120
Speaker 1: never seen this before. It was just or other people

884
00:45:23,160 --> 00:45:26,960
Speaker 1: like I feel seen yeah, absolutely, and it's just like

885
00:45:27,040 --> 00:45:31,839
Speaker 1: that is and when you look at TV or movies

886
00:45:32,080 --> 00:45:37,279
Speaker 1: like that, it's shockingly absent from Like Rosanne was this

887
00:45:37,400 --> 00:45:41,640
Speaker 1: groundbreaking show because it showed a family that wasn't like

888
00:45:41,960 --> 00:45:46,400
Speaker 1: where money in an impossible home, money actually exists. I

889
00:45:46,400 --> 00:45:48,960
Speaker 1: feel like a lot of about what to spend money on,

890
00:45:49,000 --> 00:45:52,000
Speaker 1: what bill to pay. A lot of the time people, uh,

891
00:45:52,080 --> 00:45:54,879
Speaker 1: you know, the people making our culture assume that we

892
00:45:54,920 --> 00:45:58,360
Speaker 1: want to live in a world where fantasy, yeah it's fantasy,

893
00:45:58,400 --> 00:46:01,000
Speaker 1: and money doesn't have to exist. And some people do

894
00:46:01,160 --> 00:46:04,960
Speaker 1: you know get it, Like I think shouldn't be all no, yeah,

895
00:46:05,000 --> 00:46:08,720
Speaker 1: you shouldn't completely erase these dimensions of human experience, especially

896
00:46:08,719 --> 00:46:10,640
Speaker 1: within this country when you want to go and you know,

897
00:46:10,680 --> 00:46:13,000
Speaker 1: pump your own dick up about being number one and everything.

898
00:46:13,640 --> 00:46:16,040
Speaker 1: All right, we're gonna take another quick break and we'll

899
00:46:16,120 --> 00:46:32,759
Speaker 1: be right back and we're back, and uh, Instagram is

900
00:46:32,760 --> 00:46:36,600
Speaker 1: is really doing it this. I mean, it's just a

901
00:46:36,640 --> 00:46:39,160
Speaker 1: stat that came out of Bloomberg. They're saying they did

902
00:46:39,239 --> 00:46:44,960
Speaker 1: twenty billion dollars in AD revenue in YouTube, did fifteen

903
00:46:45,040 --> 00:46:50,000
Speaker 1: point one billion in AD sales. So I uh, Facebook,

904
00:46:50,040 --> 00:46:52,680
Speaker 1: though it doesn't doesn't comment because they're saying they always

905
00:46:52,719 --> 00:46:55,719
Speaker 1: present their revenue like as a total of like Facebook,

906
00:46:55,800 --> 00:46:59,200
Speaker 1: What's App, Messenger, Instagram, whatever. But they say from the

907
00:46:59,200 --> 00:47:01,400
Speaker 1: people they spoke with who were actually familiar with like

908
00:47:01,400 --> 00:47:03,640
Speaker 1: the AD revenue within Instagram, They're like, yeah, it's like

909
00:47:03,680 --> 00:47:06,360
Speaker 1: it's twenty it's about I mean, I'm not the ideal

910
00:47:06,680 --> 00:47:09,680
Speaker 1: Instagram demographic, but I'm trying to think if there's anything

911
00:47:09,719 --> 00:47:11,680
Speaker 1: that I've ever clicked on that's led to a purchase

912
00:47:11,719 --> 00:47:13,840
Speaker 1: from Instagram. I mean, things have I become more aware

913
00:47:13,840 --> 00:47:16,200
Speaker 1: of things, and maybe that's maybe that's part of it.

914
00:47:16,480 --> 00:47:17,840
Speaker 1: But I don't know if you have any of you

915
00:47:17,840 --> 00:47:21,319
Speaker 1: ever made a purchase Instagram. I almost did. I do

916
00:47:21,440 --> 00:47:25,760
Speaker 1: not do much on Instagram, but I have heard people

917
00:47:25,800 --> 00:47:29,839
Speaker 1: who are very like Internet savvy consumers be like, I

918
00:47:29,880 --> 00:47:33,680
Speaker 1: want an Instagram feed that's all advertising, because they're advertising

919
00:47:33,800 --> 00:47:37,239
Speaker 1: gets me so much, really, Whereas I don't know a

920
00:47:37,280 --> 00:47:39,920
Speaker 1: single person who has had a positive experience with the

921
00:47:39,960 --> 00:47:45,120
Speaker 1: YouTube BD. Like nobody's like YouTube right, nobody, Yeah, they

922
00:47:45,200 --> 00:47:48,840
Speaker 1: just haven't. It's someone has a people. What's interesting is

923
00:47:48,880 --> 00:47:50,640
Speaker 1: like I don't know, like I don't know if there's

924
00:47:50,680 --> 00:47:53,440
Speaker 1: a more hated experience than having to sit through a

925
00:47:53,480 --> 00:47:59,080
Speaker 1: YouTube B And yeah, the thing is like, so there's

926
00:47:59,120 --> 00:48:02,000
Speaker 1: you know, it makes ends because to your point, one

927
00:48:02,040 --> 00:48:04,319
Speaker 1: in three people are just a little over a third

928
00:48:04,400 --> 00:48:07,600
Speaker 1: of Instagram users say they've bought something because of as so,

929
00:48:07,880 --> 00:48:10,520
Speaker 1: and you've got a billion people, billion plus people using

930
00:48:10,520 --> 00:48:12,040
Speaker 1: that ship, Like gonna go on my feet now, see

931
00:48:12,000 --> 00:48:14,480
Speaker 1: if there's anything that even remotely tempts me. It show

932
00:48:14,680 --> 00:48:18,080
Speaker 1: a lot of stuff. I I looked for like a

933
00:48:18,120 --> 00:48:20,080
Speaker 1: phone case once and I was like, what about this

934
00:48:20,120 --> 00:48:24,560
Speaker 1: phone case? Right? And I mean that's like the direct

935
00:48:24,600 --> 00:48:28,080
Speaker 1: purchase stuff. But then there's the branded stuff and I

936
00:48:28,080 --> 00:48:34,319
Speaker 1: mean cut companies and face like Facebook is incredibly detailed,

937
00:48:34,760 --> 00:48:38,600
Speaker 1: like next level like Google, although it's always fun when

938
00:48:38,600 --> 00:48:42,919
Speaker 1: they when their way off, like I don't need spanks yet,

939
00:48:43,239 --> 00:48:50,040
Speaker 1: you know. Google, uh, basically was slightly more high tech

940
00:48:50,320 --> 00:48:55,720
Speaker 1: version of classifieds and Facebook is like a whole another

941
00:48:55,880 --> 00:48:58,640
Speaker 1: level of just the amount that they know about customers.

942
00:48:58,840 --> 00:49:01,320
Speaker 1: It's just scraping. You're the inside of your soul and

943
00:49:01,360 --> 00:49:03,200
Speaker 1: they're like, all right, feel it back to you. Yeah,

944
00:49:03,320 --> 00:49:06,359
Speaker 1: they know stuff that you want before you want it.

945
00:49:06,760 --> 00:49:09,880
Speaker 1: Um and it's scary, but it doesn't surprise me at

946
00:49:09,920 --> 00:49:13,359
Speaker 1: all that, you know, Instagram is more profitable. I'm seeing

947
00:49:13,400 --> 00:49:15,080
Speaker 1: an ad for a watch and I don't wear watches.

948
00:49:15,320 --> 00:49:17,040
Speaker 1: I'm seeing an ad for Trader Joe's. I went to

949
00:49:17,080 --> 00:49:21,160
Speaker 1: Trader Joe's last night, got them and uh, I mean

950
00:49:21,239 --> 00:49:23,920
Speaker 1: I already know it exists. And then for some shows

951
00:49:23,920 --> 00:49:26,560
Speaker 1: that I'm never going to see, so yeah, there you go,

952
00:49:26,760 --> 00:49:30,839
Speaker 1: there you go. I'm not I'm not the demo. I guess. Uh,

953
00:49:31,040 --> 00:49:34,160
Speaker 1: mine for an Incubus concert and three eleven, Oh fun

954
00:49:36,480 --> 00:49:39,760
Speaker 1: got it got him down? Holy shit, Incubus three eleven

955
00:49:39,760 --> 00:49:44,640
Speaker 1: and Bad Flower, what bro the room? Most of minor

956
00:49:44,680 --> 00:49:46,640
Speaker 1: for things that I've already done, Like there's a high hotel.

957
00:49:46,680 --> 00:49:48,319
Speaker 1: I just stayed in the Hyatt Hotel, so again, I

958
00:49:48,320 --> 00:49:51,320
Speaker 1: guess it reminds me, but I know this product exists.

959
00:49:52,040 --> 00:49:55,280
Speaker 1: I don't get it. Reinforcement advertise. There you go. Uh,

960
00:49:55,360 --> 00:49:56,760
Speaker 1: And they got me to mention it on a podcast.

961
00:49:56,800 --> 00:50:00,600
Speaker 1: So the system works. Let's talk about alone time. This

962
00:50:00,680 --> 00:50:03,720
Speaker 1: is something that makes total sense to me, but science

963
00:50:04,040 --> 00:50:10,000
Speaker 1: is studying I guess they're calling it sensory processing sensitivity. Yeah,

964
00:50:10,040 --> 00:50:12,600
Speaker 1: it's like a personality trait that a lot of people have.

965
00:50:13,160 --> 00:50:17,600
Speaker 1: So you know, people take detoxes from social media or

966
00:50:17,719 --> 00:50:19,480
Speaker 1: TV or even like just be like yo, I need

967
00:50:19,520 --> 00:50:22,560
Speaker 1: like a day literally by myself and just to recharge

968
00:50:22,600 --> 00:50:25,080
Speaker 1: my ship. Um And like when they were talking interviewing

969
00:50:25,080 --> 00:50:27,120
Speaker 1: a lot of people to try and sort of find

970
00:50:27,400 --> 00:50:30,000
Speaker 1: sort of this commonality between it, this sort of thing

971
00:50:30,040 --> 00:50:34,120
Speaker 1: of s sensory processing sensitivity factored into it, um and

972
00:50:34,160 --> 00:50:36,400
Speaker 1: just saying like you're you're sort of like a sensitive

973
00:50:36,400 --> 00:50:41,120
Speaker 1: person like physical, emotional thoughts, anything, and that that high

974
00:50:41,239 --> 00:50:45,839
Speaker 1: sensitivity naturally can overwhelm somebody and then puts you into

975
00:50:45,880 --> 00:50:48,000
Speaker 1: like contrigger all kinds of thoughts, or you get into

976
00:50:48,000 --> 00:50:50,319
Speaker 1: like an anxiety whatever it is, depending on who you are.

977
00:50:50,440 --> 00:50:54,160
Speaker 1: That some people have to choose to remove themselves. And

978
00:50:54,160 --> 00:50:55,880
Speaker 1: the whole thing that they found is like when people

979
00:50:55,920 --> 00:50:59,080
Speaker 1: when they found people who sort of found like we're

980
00:50:59,120 --> 00:51:01,400
Speaker 1: able to see this within themselves and say I actually

981
00:51:01,400 --> 00:51:04,080
Speaker 1: need to step away. That brought a lot of benefits

982
00:51:04,080 --> 00:51:06,880
Speaker 1: to them, but they weren't saying being alone is beneficial

983
00:51:06,880 --> 00:51:09,160
Speaker 1: because they also looked at people who have a lot

984
00:51:09,160 --> 00:51:11,279
Speaker 1: of alone time because of maybe the nature of their

985
00:51:11,320 --> 00:51:13,680
Speaker 1: work or where they live and things like that, and

986
00:51:14,000 --> 00:51:18,320
Speaker 1: that sort of uh loneliness or being alone that's determined

987
00:51:18,320 --> 00:51:22,840
Speaker 1: by external factors actually increased your stress and increased a

988
00:51:22,840 --> 00:51:25,200
Speaker 1: lot of those things. Yeah, because it's not being like,

989
00:51:25,600 --> 00:51:29,120
Speaker 1: you know, people who are just I'm sure it works

990
00:51:29,120 --> 00:51:31,080
Speaker 1: out for some people, but I mean, if it's just

991
00:51:31,120 --> 00:51:35,319
Speaker 1: being determined by outside factors, like I'm sure the people

992
00:51:35,520 --> 00:51:39,360
Speaker 1: just you know, that's not what they would have chosen

993
00:51:39,400 --> 00:51:42,200
Speaker 1: for themselves. Yeah, but it's interesting how many people don't

994
00:51:42,239 --> 00:51:44,839
Speaker 1: have that muscle of self care to be able to say,

995
00:51:44,880 --> 00:51:46,200
Speaker 1: you know what I need to you know, I need

996
00:51:46,200 --> 00:51:47,880
Speaker 1: to stay in or I need to go or whatnot.

997
00:51:47,960 --> 00:51:49,600
Speaker 1: I would imagine a lot of people who don't have

998
00:51:49,640 --> 00:51:54,080
Speaker 1: that kind of consciousness, uh you know yourself. Oh yeah,

999
00:51:54,080 --> 00:51:56,280
Speaker 1: because it took me a while to just go down

1000
00:51:56,360 --> 00:51:58,400
Speaker 1: like just whatever was reading news or when I was

1001
00:51:58,400 --> 00:52:01,080
Speaker 1: on Facebook, just being like it would just put me

1002
00:52:01,120 --> 00:52:04,200
Speaker 1: in this elevated state and I'd be like, whoa, my

1003
00:52:04,360 --> 00:52:08,080
Speaker 1: energy is being used in the worst possible way. And

1004
00:52:08,120 --> 00:52:09,560
Speaker 1: I was like, the only way I can do that

1005
00:52:09,640 --> 00:52:12,880
Speaker 1: is to take out this stimulus, which is the whatever

1006
00:52:12,920 --> 00:52:15,560
Speaker 1: it is at the time, social media, news face, whatever

1007
00:52:15,560 --> 00:52:18,000
Speaker 1: it is. I find a lot of adult life is

1008
00:52:18,040 --> 00:52:21,600
Speaker 1: tolerating discomfort, like just doing you don't want to do,

1009
00:52:22,080 --> 00:52:24,480
Speaker 1: and you know and and for for for a greater good.

1010
00:52:24,560 --> 00:52:27,359
Speaker 1: Like I I I love scuba diving, but I hate

1011
00:52:27,400 --> 00:52:30,080
Speaker 1: everything about scuba diving, like I don't like I don't

1012
00:52:30,120 --> 00:52:32,520
Speaker 1: like being in a tightly confined suit. I don't like

1013
00:52:32,560 --> 00:52:34,719
Speaker 1: having to wear heavy equipment. I don't like relying on

1014
00:52:34,760 --> 00:52:37,160
Speaker 1: the machine for my breathing. I don't like salt water.

1015
00:52:37,320 --> 00:52:39,560
Speaker 1: I don't like being on a big, rocking, noisy motor

1016
00:52:39,600 --> 00:52:43,319
Speaker 1: boat with Russians and Speedos who are smoking. Yet when

1017
00:52:43,320 --> 00:52:45,480
Speaker 1: it all comes together and I'm under the water, it's

1018
00:52:45,520 --> 00:52:47,600
Speaker 1: one of my favorite things in the world to to

1019
00:52:47,719 --> 00:52:49,880
Speaker 1: go and see the fishies. So in the moment before

1020
00:52:49,880 --> 00:52:55,120
Speaker 1: you get in the water, I hate it. Yes, it's

1021
00:52:55,120 --> 00:52:57,360
Speaker 1: the process of just breathing through it and just just realizing,

1022
00:52:57,400 --> 00:52:59,160
Speaker 1: like I can tolerate this, and then you know, once

1023
00:52:59,200 --> 00:53:01,520
Speaker 1: I get in the water, I'll be fine, uh or

1024
00:53:01,560 --> 00:53:03,360
Speaker 1: being aware, right. I think most people might do that

1025
00:53:03,400 --> 00:53:05,920
Speaker 1: and just completely identify with those feelings of anxiety and

1026
00:53:05,920 --> 00:53:07,839
Speaker 1: think they're like, oh, this is actually the worst thing ever.

1027
00:53:07,880 --> 00:53:10,319
Speaker 1: And I'm the versus being like, Okay, I get it.

1028
00:53:10,400 --> 00:53:13,040
Speaker 1: I'm in a situation that I don't typically like, but

1029
00:53:13,080 --> 00:53:14,759
Speaker 1: I can figure out a way to navigate and being

1030
00:53:14,760 --> 00:53:16,200
Speaker 1: able to take care of myself to say to the

1031
00:53:16,280 --> 00:53:17,960
Speaker 1: to the instructor, you know what, I needed time to

1032
00:53:18,160 --> 00:53:19,719
Speaker 1: need a minute to breathe here before I'm going to

1033
00:53:19,800 --> 00:53:21,320
Speaker 1: do this, and you know, and I need you to

1034
00:53:21,360 --> 00:53:23,200
Speaker 1: hold these hold my mask here so I can put

1035
00:53:23,239 --> 00:53:24,640
Speaker 1: it here and then when I get in the water

1036
00:53:24,719 --> 00:53:28,680
Speaker 1: to not go down and yeah, exactly, And it's gotten

1037
00:53:28,719 --> 00:53:30,680
Speaker 1: it's it's gotten better. And I try to take lessons

1038
00:53:30,719 --> 00:53:33,239
Speaker 1: from that in my life, but you know, not always. Yeah,

1039
00:53:33,880 --> 00:53:39,080
Speaker 1: let's talk about one of the more strangely intriguing trailers

1040
00:53:39,800 --> 00:53:45,080
Speaker 1: that we've seen this year, Spiral from the Book of Salt.

1041
00:53:45,160 --> 00:53:48,799
Speaker 1: What a weird title, very very odd title. We talked

1042
00:53:48,840 --> 00:53:51,920
Speaker 1: about Chris Rock being the executive producer and I think

1043
00:53:51,960 --> 00:53:54,880
Speaker 1: working on a script for to reboot the Soft franchise,

1044
00:53:54,920 --> 00:53:58,000
Speaker 1: and the first You're like, I guess that could be good.

1045
00:53:58,640 --> 00:54:00,479
Speaker 1: I wasn't sure. It was hard to know just based

1046
00:54:00,480 --> 00:54:03,160
Speaker 1: on it was a very interesting combination of words. I

1047
00:54:03,400 --> 00:54:06,640
Speaker 1: saw Chris Rock and all that, Uh, but this trailer

1048
00:54:07,239 --> 00:54:12,839
Speaker 1: it actually looked good. It's something. Yeah, I like it,

1049
00:54:12,880 --> 00:54:16,640
Speaker 1: but tbds over Chris rocks dramatic performance. I mean they

1050
00:54:16,680 --> 00:54:24,000
Speaker 1: have two shots of him discovering something profound or profoundly disturbing,

1051
00:54:24,400 --> 00:54:27,120
Speaker 1: where his face is frozen in the exact same position

1052
00:54:27,400 --> 00:54:31,680
Speaker 1: the entire time. Like I, I don't think I'm intrigued

1053
00:54:31,719 --> 00:54:35,960
Speaker 1: by this because we're seeing people who have who are

1054
00:54:36,040 --> 00:54:39,920
Speaker 1: like comedic geniuses, who have a penchant for, you know,

1055
00:54:40,080 --> 00:54:46,000
Speaker 1: really a good horror um. But I I don't know.

1056
00:54:46,320 --> 00:54:49,040
Speaker 1: The trailer did look intriguing. It also looked like it

1057
00:54:49,160 --> 00:54:52,960
Speaker 1: might be just a a face blend of a saw

1058
00:54:53,000 --> 00:54:58,200
Speaker 1: A movie and the movie seven. I think the this

1059
00:54:58,320 --> 00:55:00,640
Speaker 1: you're hearing Sam Jackson to go so you want to

1060
00:55:00,640 --> 00:55:05,040
Speaker 1: play some motherfucking games there it is that they got

1061
00:55:05,040 --> 00:55:07,120
Speaker 1: it in. Yeah, I think it's when Well, I guess

1062
00:55:07,280 --> 00:55:09,840
Speaker 1: the thing that surprises me is my first Usually you

1063
00:55:09,840 --> 00:55:15,640
Speaker 1: can see a trailer and you go bo. Yeah, I'm

1064
00:55:15,719 --> 00:55:19,000
Speaker 1: a sucker for trailers. Yeah, I will always get be

1065
00:55:19,160 --> 00:55:21,600
Speaker 1: into a movie after seeing a trailer. You'll always give

1066
00:55:21,600 --> 00:55:23,040
Speaker 1: it the benefit of the doubt. Oh yeah, well, I

1067
00:55:23,120 --> 00:55:26,400
Speaker 1: just love trailers, like right, right, But we've watched trailers

1068
00:55:26,440 --> 00:55:28,960
Speaker 1: and you go, that was a fucking joke. Yeah, you

1069
00:55:29,040 --> 00:55:30,759
Speaker 1: know what we're saying. But but if the ones, if

1070
00:55:30,800 --> 00:55:31,960
Speaker 1: it speaks to you in the right way, you're like,

1071
00:55:32,040 --> 00:55:37,680
Speaker 1: all in, I will not. I try my very best

1072
00:55:37,719 --> 00:55:39,960
Speaker 1: to not miss the trailers when I go to the movies,

1073
00:55:40,040 --> 00:55:43,800
Speaker 1: because that's usually my favorite part. I've been hurt too often,

1074
00:55:44,280 --> 00:55:48,120
Speaker 1: like too often, Yeah, where where dang it? They well,

1075
00:55:48,160 --> 00:55:50,080
Speaker 1: obviously this is what they should do, but dang it,

1076
00:55:50,120 --> 00:55:53,520
Speaker 1: they just put the best parts in, right, which means

1077
00:55:53,520 --> 00:55:55,239
Speaker 1: there's only three minutes of good part or you see,

1078
00:55:55,320 --> 00:55:57,280
Speaker 1: like in the first act of the film, you're like, wait,

1079
00:55:57,800 --> 00:55:59,520
Speaker 1: that was all the good ship from the trailer. Just

1080
00:56:00,360 --> 00:56:04,080
Speaker 1: remember that movie Dead Presidents, and the trailer for that

1081
00:56:04,200 --> 00:56:07,120
Speaker 1: was amazing because it was a bank robbery and they

1082
00:56:07,120 --> 00:56:09,160
Speaker 1: were in white face and how all these cool moves.

1083
00:56:09,360 --> 00:56:11,279
Speaker 1: And then I watched the movie and it's about two

1084
00:56:11,320 --> 00:56:14,640
Speaker 1: hours of like Vietnam and at the very end there's

1085
00:56:14,640 --> 00:56:17,200
Speaker 1: a very quick bank robbery. Squence, Yeah, and it was

1086
00:56:17,320 --> 00:56:21,319
Speaker 1: from Menace to Society was my favorite movie movie at

1087
00:56:21,320 --> 00:56:24,719
Speaker 1: the time. Man, this is gonna be so good. Uh,

1088
00:56:24,719 --> 00:56:27,760
Speaker 1: And I forget what song they had in the trailer,

1089
00:56:27,800 --> 00:56:30,520
Speaker 1: but it was like everything about it. It was a

1090
00:56:30,600 --> 00:56:32,960
Speaker 1: great short film that had almost nothing to do with

1091
00:56:33,000 --> 00:56:35,520
Speaker 1: the actual movie. The first movie I saw in theaters

1092
00:56:35,680 --> 00:56:38,839
Speaker 1: was Rocky for In That movie is like fully imprinted

1093
00:56:38,960 --> 00:56:42,319
Speaker 1: on my brain as like what movies should be. But

1094
00:56:42,440 --> 00:56:46,640
Speaker 1: I also remember the trailer I saw at The trailer

1095
00:56:46,719 --> 00:56:49,719
Speaker 1: I saw at that movie for Poulter Guys Too, was

1096
00:56:49,800 --> 00:56:53,000
Speaker 1: like the first trailer that I saw that. I was like, Yo,

1097
00:56:53,400 --> 00:56:56,520
Speaker 1: this is gonna being green. With like the advent of

1098
00:56:56,600 --> 00:57:00,360
Speaker 1: the Internet putting trailers out right away, it's still magical

1099
00:57:00,400 --> 00:57:01,839
Speaker 1: for you to see the trailer. Yeah, I try not

1100
00:57:01,880 --> 00:57:07,680
Speaker 1: to watch him too much on the Internet. Of the

1101
00:57:07,719 --> 00:57:10,920
Speaker 1: in theater trailer, Yeah, man, I'm into it. I'm always

1102
00:57:10,920 --> 00:57:12,920
Speaker 1: worried when they do a teaser that has nothing to

1103
00:57:12,960 --> 00:57:15,280
Speaker 1: do with the movie, Like they don't actually show footage

1104
00:57:15,280 --> 00:57:17,240
Speaker 1: from the movie. It's just someone sitting standing on a

1105
00:57:17,320 --> 00:57:20,560
Speaker 1: set like the Wreath of Franklin respect one, I guess

1106
00:57:20,600 --> 00:57:22,760
Speaker 1: because it's it's Jennifer Hudson, So you're supposed to be

1107
00:57:22,760 --> 00:57:24,760
Speaker 1: impressed that she's singing respect and she sings great but

1108
00:57:24,800 --> 00:57:28,560
Speaker 1: I don't see any wreath of Franklin. Okay, yeah, a

1109
00:57:28,600 --> 00:57:33,120
Speaker 1: good cover song. Yeah. Um wait, so you're you're talking

1110
00:57:33,120 --> 00:57:36,440
Speaker 1: about The trailer has her being like, Hi, I'm Jennifer Hudson,

1111
00:57:36,600 --> 00:57:38,920
Speaker 1: and I don't see as many as those anywhere. They

1112
00:57:38,920 --> 00:57:41,200
Speaker 1: would just do this a lot for comedy where I'm

1113
00:57:41,200 --> 00:57:43,160
Speaker 1: trying to remember there was one that was particularly awful

1114
00:57:43,200 --> 00:57:45,240
Speaker 1: where someone was saying like, so it comes see. Oh,

1115
00:57:45,240 --> 00:57:47,040
Speaker 1: I think it might have been Robin Williams for toys.

1116
00:57:47,800 --> 00:57:49,960
Speaker 1: There was a teacher trailer. It was just him in

1117
00:57:50,040 --> 00:57:52,920
Speaker 1: full coked out Robin Williams mode, and it had nothing

1118
00:57:52,960 --> 00:57:55,760
Speaker 1: to do with the movie, and probably for good reason,

1119
00:57:55,800 --> 00:57:57,720
Speaker 1: because I'm a huge Verry Levington fan, and that is

1120
00:57:57,760 --> 00:58:00,480
Speaker 1: a terrible movie, even though it looked looks great, but

1121
00:58:00,480 --> 00:58:03,160
Speaker 1: I mean it looks very It's like a high concept,

1122
00:58:03,320 --> 00:58:06,800
Speaker 1: like dark, weird thing. But they're like, well, the thing

1123
00:58:06,840 --> 00:58:09,800
Speaker 1: we're actually gonna be able to sell is Robert Williams

1124
00:58:09,880 --> 00:58:12,040
Speaker 1: and the things that look like toys and toys and

1125
00:58:12,040 --> 00:58:14,920
Speaker 1: from the and I come out of the theater, tell

1126
00:58:14,960 --> 00:58:17,840
Speaker 1: of my dad, I don't want my food to touch that,

1127
00:58:20,280 --> 00:58:24,640
Speaker 1: and I my parents remember that ship. After that, you

1128
00:58:24,640 --> 00:58:28,480
Speaker 1: didn't want your food on the The only portrayal of

1129
00:58:28,480 --> 00:58:32,160
Speaker 1: African American on screen was spoke directly to me. Do

1130
00:58:32,160 --> 00:58:34,160
Speaker 1: you expect I'm not a guy out here? No new

1131
00:58:34,240 --> 00:58:40,360
Speaker 1: Joe Cusack fan all right? And finally, candy store dot com,

1132
00:58:41,040 --> 00:58:45,760
Speaker 1: which is a blog, has released a list of America's

1133
00:58:45,840 --> 00:58:50,160
Speaker 1: favorite Valentine's candy. Is it by state? Yeah? By state?

1134
00:58:50,440 --> 00:58:52,720
Speaker 1: One thing I just want to say, right, They start

1135
00:58:52,760 --> 00:58:58,400
Speaker 1: off saying the projected spend uh for like Valentine's Day.

1136
00:58:58,520 --> 00:59:00,000
Speaker 1: I don't know if this is the year, but they

1137
00:59:00,240 --> 00:59:03,120
Speaker 1: this is the this is the wording as Valentine's Day

1138
00:59:03,120 --> 00:59:06,479
Speaker 1: indulgences go. Candies are relatively inexpensive. One. It's also become

1139
00:59:06,480 --> 00:59:08,360
Speaker 1: a tradition and it is a nice and easy gesture

1140
00:59:08,400 --> 00:59:10,880
Speaker 1: to make. That could be why people are expected to

1141
00:59:10,920 --> 00:59:14,240
Speaker 1: spend over two point four billion dollars this year, up

1142
00:59:14,280 --> 00:59:17,440
Speaker 1: six hundred million from last year. I'm not spending that much,

1143
00:59:19,640 --> 00:59:22,680
Speaker 1: are people? I mean? I know Valentine's they can to

1144
00:59:22,680 --> 00:59:24,760
Speaker 1: be a thing you panicked by it a CVX just

1145
00:59:24,800 --> 00:59:27,080
Speaker 1: to give to somebody. How is their massive argument? And

1146
00:59:28,400 --> 00:59:31,120
Speaker 1: it's just candy, hearts and chocolate. There's more so apparently

1147
00:59:31,120 --> 00:59:34,720
Speaker 1: Eminem's is on the come up. It's moving up very closely.

1148
00:59:34,760 --> 00:59:38,920
Speaker 1: So in California. Third place goes to chocolate roses. Second

1149
00:59:39,280 --> 00:59:42,000
Speaker 1: roses is not a thing that I have ever given

1150
00:59:42,280 --> 00:59:45,640
Speaker 1: or really even considered, like chocolate dipped roses or like

1151
00:59:45,680 --> 00:59:52,680
Speaker 1: the shape. Yeah, this is the bulb they're They're like

1152
00:59:53,480 --> 00:59:58,560
Speaker 1: plastic stends with chocolate candy in the shape of a

1153
00:59:58,680 --> 01:00:03,360
Speaker 1: rosebud and then wrapped in like cellophane. Conversation for the

1154
01:00:03,440 --> 01:00:05,560
Speaker 1: environment because the other one that makes sense, that's a

1155
01:00:05,600 --> 01:00:08,720
Speaker 1: state that would be. And then conversation hearts is funny.

1156
01:00:08,760 --> 01:00:13,000
Speaker 1: I've never thought of them being in conversation because I

1157
01:00:13,080 --> 01:00:17,919
Speaker 1: love you. What a vapid conversation I will um. Yeah.

1158
01:00:17,960 --> 01:00:20,400
Speaker 1: And then number one heart shaped box of chocolates, which

1159
01:00:20,400 --> 01:00:22,800
Speaker 1: seems to be the one for everyone. Uh, jack war

1160
01:00:22,880 --> 01:00:24,800
Speaker 1: is a state you live. Let's go look at what's

1161
01:00:25,240 --> 01:00:29,560
Speaker 1: popular in Ohio? Shall we? In Ohio? Third place? Conversation

1162
01:00:29,600 --> 01:00:35,000
Speaker 1: hearts second places. Oh, I'm gonna guess it's candy corn,

1163
01:00:35,040 --> 01:00:38,720
Speaker 1: but it's pink and red instead of orange. Yeah, you

1164
01:00:38,880 --> 01:00:43,440
Speaker 1: got him exactly. Uh. And then heart shaped box all right, no, no,

1165
01:00:43,600 --> 01:00:46,440
Speaker 1: then yeah, heart shaped box of chocolates. Is there one

1166
01:00:46,440 --> 01:00:48,760
Speaker 1: state where there's just something really like it's not even

1167
01:00:48,760 --> 01:00:52,080
Speaker 1: a can't it's like like grain alcohol, It's like beat

1168
01:00:52,160 --> 01:00:57,320
Speaker 1: one being Chocolate hearts is as kind of out there

1169
01:00:57,360 --> 01:01:02,360
Speaker 1: as it. Guess that's man's number one chocolate. So main

1170
01:01:03,240 --> 01:01:07,560
Speaker 1: um Hershey's kisses are also big. Pennsylvania makes sense eminem,

1171
01:01:07,600 --> 01:01:13,960
Speaker 1: So you think our eminem's also yeah in Pennsylvania. Yeah,

1172
01:01:14,080 --> 01:01:22,000
Speaker 1: Pennsylvania's got eminem. So does Texas. Uh the kisses Texas kisses? Um. Yeah.

1173
01:01:22,040 --> 01:01:23,840
Speaker 1: Cupid corn is the one thing I see on here

1174
01:01:23,880 --> 01:01:28,640
Speaker 1: that I'm like surprised is a consistently coming up because

1175
01:01:28,680 --> 01:01:30,920
Speaker 1: I well, this is where maybe I'm an outlier, but

1176
01:01:30,960 --> 01:01:33,520
Speaker 1: I have always said I cannot see candy corn. Alaska's

1177
01:01:33,640 --> 01:01:36,720
Speaker 1: number three is something I've never heard of. Cinnamon bears,

1178
01:01:37,320 --> 01:01:41,840
Speaker 1: Oh the funk? Are those made with real bear? Yeah?

1179
01:01:41,880 --> 01:01:45,600
Speaker 1: What is a cinnamon bear? Florida. We've got to We've

1180
01:01:45,640 --> 01:01:49,920
Speaker 1: got to change last year's winter conversation hearts, but this

1181
01:01:50,000 --> 01:01:54,360
Speaker 1: year heart shaped box of chocolates has overtaken. Man. We

1182
01:01:54,440 --> 01:01:57,440
Speaker 1: are not original. I mean, I guess this is typically

1183
01:01:57,760 --> 01:02:05,600
Speaker 1: a holiday where men are buying for everyone es. Number one,

1184
01:02:05,720 --> 01:02:09,080
Speaker 1: number one whatever is on sale at CVS Alabama coming

1185
01:02:09,160 --> 01:02:15,280
Speaker 1: with the surprise. Number one candy necklaces. Alright, Albema, what

1186
01:02:15,400 --> 01:02:18,760
Speaker 1: is that? But that's for like kids, right, can't imagine

1187
01:02:18,760 --> 01:02:21,320
Speaker 1: those ship like that? That should will get you in

1188
01:02:21,320 --> 01:02:23,040
Speaker 1: trouble if you're an adult, like I got you just

1189
01:02:23,120 --> 01:02:25,680
Speaker 1: candy necklace like the funk. They probably put it in

1190
01:02:25,720 --> 01:02:28,240
Speaker 1: like one of those fancy boxes, like in a felt

1191
01:02:28,280 --> 01:02:32,400
Speaker 1: covered box. Yeah. Cinnamon bears are just basically gummy bears

1192
01:02:32,480 --> 01:02:38,280
Speaker 1: that are just chock full of that cinnamon spice. Um Arkansas.

1193
01:02:38,360 --> 01:02:43,600
Speaker 1: Number three is gear Delli gift box. Fancy damn look

1194
01:02:43,640 --> 01:02:49,400
Speaker 1: at you, Arkansas, k Arkansas. Candy necklaces big in West Virginia.

1195
01:02:49,680 --> 01:02:52,680
Speaker 1: West gar Delli gift boxes are also third place in

1196
01:02:52,680 --> 01:02:56,480
Speaker 1: Iowa and Kansas also, so people like that in the

1197
01:02:56,600 --> 01:02:59,320
Speaker 1: second place in Maine. I guess that's like if you're classy,

1198
01:02:59,360 --> 01:03:03,200
Speaker 1: you know, like Geared. That's that fancy ship that's Italian. Yeah,

1199
01:03:03,320 --> 01:03:10,440
Speaker 1: from San Francisco, Utah. It's just whole milk hell Yeah. Interesting,

1200
01:03:10,480 --> 01:03:12,960
Speaker 1: I'm gonna take it down a percentage to get frisky.

1201
01:03:13,560 --> 01:03:15,919
Speaker 1: I think the most creative Valentine's Day gift I ever

1202
01:03:16,040 --> 01:03:19,800
Speaker 1: bought for her Majesty was a hanging plant. Okay that

1203
01:03:19,920 --> 01:03:23,400
Speaker 1: I crushed it that year because everyone was like before that,

1204
01:03:23,480 --> 01:03:26,400
Speaker 1: I was like flowers, which were appreciated, but I was

1205
01:03:26,440 --> 01:03:28,560
Speaker 1: like no, Like I was like, let our love grow

1206
01:03:29,200 --> 01:03:32,520
Speaker 1: like this hanging plant still have it to this day.

1207
01:03:33,520 --> 01:03:36,760
Speaker 1: Chocolate bears, Isn't that a thing? No? Did I just

1208
01:03:36,800 --> 01:03:38,560
Speaker 1: make that up? Talcolate covered dummy bears or not? That

1209
01:03:38,800 --> 01:03:48,120
Speaker 1: website You're damn nailed me. I've been zinged and I

1210
01:03:48,160 --> 01:03:53,280
Speaker 1: love it. Well, Jake Keith, It's been a pleasure, always pleasure.

1211
01:03:53,760 --> 01:03:56,520
Speaker 1: Where can people find you? Follow you here? You Well,

1212
01:03:56,560 --> 01:03:59,280
Speaker 1: the big thing is, uh the podcast Go fact yourself.

1213
01:03:59,320 --> 01:04:01,520
Speaker 1: You can get that at go factor pod or wherever

1214
01:04:01,520 --> 01:04:04,160
Speaker 1: you get podcasts. Were have live tapings coming up in

1215
01:04:04,200 --> 01:04:07,520
Speaker 1: Los Angeles on February twenty three. Uh, those are free

1216
01:04:07,520 --> 01:04:09,240
Speaker 1: tickets at the Angel City Brewery. Can go to go

1217
01:04:09,320 --> 01:04:12,080
Speaker 1: factor pot dot com. We've got coming up and Magnussen,

1218
01:04:12,160 --> 01:04:17,280
Speaker 1: how Lublin, Uh Freddy Wong and uh Aaron Foley and

1219
01:04:17,600 --> 01:04:20,880
Speaker 1: we've got new episodes that drop every first and third Friday.

1220
01:04:21,000 --> 01:04:22,920
Speaker 1: And like I said, go factor pot dot com, at

1221
01:04:22,920 --> 01:04:26,320
Speaker 1: go factor pod and on Twitter. I'm at j underscore Keith.

1222
01:04:26,680 --> 01:04:29,440
Speaker 1: And is there a tweet or some other work of

1223
01:04:29,520 --> 01:04:33,200
Speaker 1: social media you've been enjoying. I enjoyed this. There's a

1224
01:04:33,400 --> 01:04:36,000
Speaker 1: I'm a big musical theater fan, and there's a musical

1225
01:04:36,000 --> 01:04:38,680
Speaker 1: theater composer named Jason Robert Brown who I follow and

1226
01:04:38,720 --> 01:04:43,320
Speaker 1: interact with once in a while, and he recently posted. Uh.

1227
01:04:43,800 --> 01:04:46,320
Speaker 1: His his retweet was every time I lose faith in humanity,

1228
01:04:46,320 --> 01:04:48,440
Speaker 1: Florida brings me back to life and the headline is

1229
01:04:48,680 --> 01:04:53,320
Speaker 1: Florida troopers find narcotics in bag labeled bag full of drugs.

1230
01:04:53,760 --> 01:04:59,840
Speaker 1: So just the confluence of musical theater composers, Florida stupidity,

1231
01:05:00,000 --> 01:05:03,040
Speaker 1: and news that all comes together there for me. Uh,

1232
01:05:03,160 --> 01:05:06,480
Speaker 1: Miles h People find you what's tweet you've been enjoying?

1233
01:05:06,520 --> 01:05:10,560
Speaker 1: Find me Follow me on Twitter and Instagram at Miles

1234
01:05:10,680 --> 01:05:13,160
Speaker 1: of Gray, and also check out my other podcast for

1235
01:05:13,200 --> 01:05:16,080
Speaker 1: twenty Day Fiance. If you like he liked me, you're

1236
01:05:16,080 --> 01:05:18,720
Speaker 1: gonna like this tweet. I like this from Dave Shilling

1237
01:05:18,760 --> 01:05:22,280
Speaker 1: at Dave Underscore Shilling. Everyone's been using the Nancy Pelosi

1238
01:05:22,680 --> 01:05:25,000
Speaker 1: rip meme for all kinds of things, and I just

1239
01:05:25,080 --> 01:05:27,080
Speaker 1: liked his when he just put me when my credit

1240
01:05:27,080 --> 01:05:30,000
Speaker 1: card bill arrives every month, just tear it up, bro,

1241
01:05:30,440 --> 01:05:32,600
Speaker 1: what are they gonna do except for when your credit?

1242
01:05:33,040 --> 01:05:38,120
Speaker 1: That's right? Uh? What are some tweets I've been enjoying.

1243
01:05:41,600 --> 01:05:46,080
Speaker 1: I enjoyed a tweet by swarm Bowie swarm Bowie at

1244
01:05:46,160 --> 01:05:50,000
Speaker 1: Sarn lt D Underscore lt D A little thing about me.

1245
01:05:50,080 --> 01:05:52,520
Speaker 1: I once went to an RBS I enjoyed so much

1246
01:05:52,560 --> 01:05:55,120
Speaker 1: I asked for a compliment card and ran out of

1247
01:05:55,160 --> 01:06:00,720
Speaker 1: room saying how much. Uh, that is a little bit

1248
01:06:00,760 --> 01:06:04,560
Speaker 1: about Sorton. That's a lot about Shorton says a lot. Uh.

1249
01:06:04,640 --> 01:06:06,919
Speaker 1: You can find me on Twitter at check under squirrel Brian.

1250
01:06:06,960 --> 01:06:09,840
Speaker 1: You can find us on Twitter at daily zeykegeys were

1251
01:06:09,840 --> 01:06:12,320
Speaker 1: at the Daily Zygeist on Instagram. We have a Facebook

1252
01:06:12,320 --> 01:06:15,840
Speaker 1: fan page and a website. Daily zicheis dot com boy.

1253
01:06:15,880 --> 01:06:19,480
Speaker 1: We post our episodes and our foot notes or we

1254
01:06:19,560 --> 01:06:22,920
Speaker 1: link off to the information that we talked about today's episode,

1255
01:06:22,920 --> 01:06:26,520
Speaker 1: as well as the song we ride out on second

1256
01:06:26,720 --> 01:06:29,920
Speaker 1: Oh my god, you know everybody's just loving Nancy. Just

1257
01:06:30,000 --> 01:06:32,920
Speaker 1: are ripping in a Terran, are ripping in a Terran

1258
01:06:33,000 --> 01:06:36,680
Speaker 1: And that reminded me of the great rappers from the

1259
01:06:36,760 --> 01:06:40,680
Speaker 1: Great White North and Canada's Shark Tank with their iconic

1260
01:06:40,720 --> 01:06:45,600
Speaker 1: track out for a rip honor of her rippage. Those rips,

1261
01:06:45,720 --> 01:06:48,280
Speaker 1: those ripped abs, going out on out for a rip

1262
01:06:48,640 --> 01:06:54,360
Speaker 1: out for a ripe. That a real Oh yeah, yeah,

1263
01:06:54,480 --> 01:06:57,000
Speaker 1: we're from the Great White North. That's how the first

1264
01:06:57,120 --> 01:06:59,160
Speaker 1: slide is. And they're talking about you know, just fucking

1265
01:06:59,200 --> 01:07:02,360
Speaker 1: we'll jump into the jump in a lake. Yeah, um,

1266
01:07:02,600 --> 01:07:05,400
Speaker 1: start feeding the right well. The Daily Zis is a

1267
01:07:05,440 --> 01:07:08,080
Speaker 1: production of I Heart Radio. For more podcasts from my

1268
01:07:08,160 --> 01:07:11,560
Speaker 1: heart Radio is the heart Radio app, Apple Podcasts or

1269
01:07:11,560 --> 01:07:15,040
Speaker 1: wherever you're listening your favorite shows. That's gonna do it

1270
01:07:15,160 --> 01:07:17,920
Speaker 1: for this morning. We will be back later on today

1271
01:07:18,040 --> 01:07:20,840
Speaker 1: to tell you what is trending this afternoon, and then

1272
01:07:20,880 --> 01:07:25,120
Speaker 1: tomorrow with another podcast. Yeah bye, I'm from the Great

1273
01:07:25,160 --> 01:07:27,800
Speaker 1: White North, right, like up above the state, Yeah, the

1274
01:07:27,840 --> 01:07:30,240
Speaker 1: big land mass to the rest of the world hates

1275
01:07:30,680 --> 01:07:33,800
Speaker 1: were like above that fucking north. I guess the big

1276
01:07:33,840 --> 01:07:36,520
Speaker 1: pot of trees where everybody's born to dead. We're just

1277
01:07:36,640 --> 01:07:39,800
Speaker 1: chilling up here, sit and syrup, playing hockey before we

1278
01:07:39,880 --> 01:07:43,200
Speaker 1: learn to walk. We can cross chats, rock and plant

1279
01:07:43,320 --> 01:07:46,520
Speaker 1: jackets chainsaws. We operate him right, a right, we do.

1280
01:07:46,640 --> 01:07:49,560
Speaker 1: But we got our weight in firewood. Every twenty minutes

1281
01:07:49,680 --> 01:07:52,400
Speaker 1: or so. Small and if the Leaves make the playoffs,

1282
01:07:52,400 --> 01:07:55,160
Speaker 1: I'll fucking jump in the lake. Fucking buddy comes over

1283
01:07:55,200 --> 01:07:58,160
Speaker 1: to my place the other night. He's like wanting, and

1284
01:07:58,200 --> 01:08:01,160
Speaker 1: I was like fucking right. So we hop in the

1285
01:08:01,240 --> 01:08:04,000
Speaker 1: truck and hit the mud and I was like, oh,

1286
01:08:04,440 --> 01:08:08,600
Speaker 1: I can't by Just still for ever, your bud, time

1287
01:08:09,040 --> 01:08:13,760
Speaker 1: just still for ever, Just still for a boy, your

1288
01:08:14,200 --> 01:08:20,280
Speaker 1: time just still for a just still for a time,

1289
01:08:20,800 --> 01:08:21,759
Speaker 1: just still for