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Speaker 1: Hello the Internet, and welcome to season two thirty three,

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Speaker 1: Episode four of Thur Daily's I Got You Stay production

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

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Speaker 1: take a deep dive into America's shared consciousness. And it is,

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Speaker 1: of course Thursday, April National High Five Day that I've

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Speaker 1: been just I've been running down the street through a

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Speaker 1: NonStop high five layoff line type situations. That's done my day.

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Speaker 1: That's how I observed. That's pretty solid. Just forced people in,

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Speaker 1: just the framing of hey, right here, put it here,

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Speaker 1: my guy. Yeah cool if people like it, when, of course,

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Speaker 1: to give me a high five, just have my hand

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Speaker 1: out my window when I'm driving down the street, right,

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Speaker 1: I try to get some Yeah. Anyways, Happy National High

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Speaker 1: five Day to everyone out there who observes. Is is

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Speaker 1: this like, do we go back to the history of

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Speaker 1: of high five? Is that when when you when you

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Speaker 1: look up, when you when you celebrate National High five Day?

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Speaker 1: Miles do you how do you celebrate? Oh? When I

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Speaker 1: look I get real, I just get real high and

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Speaker 1: just you know, five channel five pretty easy, pretty easy. Alright. Well,

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Speaker 1: my name is Jack O'Brien, a k A reverse lap cender,

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Speaker 1: a pretty good defender. Watch me touch net on a

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Speaker 1: beautiful official ram One mad Boost. Then I'm through with you.

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Speaker 1: That is courtesy of Bohemian Rap City once again, back

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Speaker 1: at it, talking of course about the rap City that

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Speaker 1: was sponsored by City Bag. Based on the spelling, I

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Speaker 1: have to assume and I'm thrilled to be joined as

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Speaker 1: always by my co host, Mr Miles grag He is

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Speaker 1: getting twisted at the intersection of Vinelan lancershim and camera

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Speaker 1: Rio is none none other than hit Day. Oh no,

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Speaker 1: ho oh, I didn't have time to look at the

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Speaker 1: a K, So just go back to the time honored Yeah,

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Speaker 1: you know, there he is there. He is one of

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Speaker 1: the great one of the greats, one of the greatest,

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Speaker 1: one of the greatest blazons in podcasting. I'm gonna take that.

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Speaker 1: I'm gonna take that ground right now. Okay, alright, Well,

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Speaker 1: we are thrilled to be joining our third seed by

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Speaker 1: a pH D holder. Yeah, a vice TV correspondent, a

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Speaker 1: musician whose music has appeared on HBO. He's contributed to

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Speaker 1: Pulitzer Prize winning coverage at the l A Times, and

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Speaker 1: he is the host of the podcast Authentic The Story

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Speaker 1: of Tableau. It's Dexter Thomas Jr. I appreciate the enthusiastic welcome,

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Speaker 1: Thank you. I'm very happy to be here. What's going on,

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Speaker 1: very very happy to have you? Yes, yes, h D

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Speaker 1: And Japanese right, Jeff uh kind of almost there were

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Speaker 1: halfway there. So I did a dissertation on Japanese hip hop. Yeah,

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Speaker 1: but technically it the department is it changed names at

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Speaker 1: some point, but basically let's say Asian study. Yeah, yeah, yeah.

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Speaker 1: Because when I saw your email back, just I was like,

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Speaker 1: he has kanji in his like email header. When I

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Speaker 1: was like, okay, I guess it is kayo B But

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Speaker 1: I was like, what am I looking at? But yeah,

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Speaker 1: it's I'm so interesting to meet people or so I'm

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Speaker 1: have Japanese. Yeah, I liked it. I just it's always

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Speaker 1: interesting to see how people there they drink from the

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Speaker 1: well of Japanese culture. But I get it was ripped

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Speaker 1: slime and Tara Yaki boys a little bit more like

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Speaker 1: maybe Buddha brand and mame Cicon something like that. Yea, yeah, yeah,

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Speaker 1: but yeah, we're in the same We're in the same ballpark, man,

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Speaker 1: We're in the same universe. Cool. Cool, That's what I

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Speaker 1: was going to guess with my guests for what you

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Speaker 1: were into. So that's good, Thank you. I appreciate you.

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Speaker 1: I look like a Buddha brand kind of guy to you. Yeah, yeah, yeah, yeah,

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Speaker 1: you're like, I'm more of a DJ Honda kind of

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Speaker 1: got my I get that too. So what what's good, dexter?

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Speaker 1: What you're you're in l A right now. It seems

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Speaker 1: like you're kind of all all over the place. But

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Speaker 1: what's what's what's good? What's new? What's up? What's up

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Speaker 1: with Tableau? What is up with Tableau? Um? I mean, well,

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Speaker 1: I think I think he just I think they just

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Speaker 1: finished their US tour, I want to say, because their

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Speaker 1: last stop was I believe Coachella. Yeah, and so uh

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Speaker 1: you know, yeah, the show, the show authentic of you know,

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Speaker 1: the story of Tableau is uh, you know, the last

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Speaker 1: episode dropped, So that's it. So yeah, it's it's been

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Speaker 1: a weird read. It's been a wild ride, I should say. Yeah. Yeah,

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Speaker 1: And for people who aren't aren't aware to tell people

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Speaker 1: a little bit about why Tableau is an interesting figure

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Speaker 1: and you know, to the point where it's we were

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Speaker 1: talking about him. We have a podcast because I remember

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Speaker 1: when this podcast was first coming up as an idea,

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Speaker 1: and we were very like, oh this is I had

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Speaker 1: no idea, but this seems very significant but to a

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Speaker 1: very specific subset of musical interest. Yeah. Yeah, So so

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Speaker 1: Tableau for people. So there'll be people who are listening

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Speaker 1: to do it saying I know exactly what you're talking about.

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Speaker 1: And then it's basically, I think you're divided into one

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Speaker 1: of two camps. Either you know exactly you probably if

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Speaker 1: you know who Tableau is, you know about this story already,

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Speaker 1: or you've never heard of him. You've never heard the story.

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Speaker 1: So essentially, Tableau is the front man of a group

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Speaker 1: called Epic High, which when it first started out, it

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Speaker 1: started out kind of as this underground hip hop group

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Speaker 1: in the early two thousands in Korea, back when I

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Speaker 1: mean underground hip hop was even kind of it was

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Speaker 1: a little sketchy in the States. I mean you'll remember this,

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Speaker 1: you know, kind of the college backpacktor style thing. But

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Speaker 1: then they started to blow up, and you know, they

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Speaker 1: were all over TV, especially Tableau was all over TV.

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Speaker 1: And so Tableau had this kind of interesting background in that,

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Speaker 1: you know, he was born in Korea, but then he'd

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Speaker 1: moved to Canada at a pretty young age, and then

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Speaker 1: he went to Stanford and graduated, not only graduated from

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Speaker 1: stand for graduated with the bachelors and the masters and

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Speaker 1: I think three and a half years. So clearly a

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Speaker 1: really smart dude. Yeah, you're clearly really smart dude. And

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Speaker 1: so that kind of helped get him this edge in

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Speaker 1: the Korean TV because the mainstream didn't really get this

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Speaker 1: rap thing, but they were very interested in this guy who's, oh, wow,

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Speaker 1: you're really smart and you decided to become a rapper.

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Speaker 1: Why You're like, what's what's going on here? And you know,

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Speaker 1: it was kind of funny, so he was. He started

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Speaker 1: getting booked on TV and but then people realize, oh,

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Speaker 1: I actually like the music, so it's they started getting

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Speaker 1: really big. Then somebody pops up on a forum saying, hey,

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Speaker 1: this guy Tableau, he didn't really go to Stanford. I

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Speaker 1: think he's lying. I think his whole thing is a scam.

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Speaker 1: He's scamming us. And most people would think, okay, who

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Speaker 1: cares if a rapper went to an elague, who cares? Right?

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Speaker 1: All right, whatever, man, But people really cared and it

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Speaker 1: turned into this wild conspiracy thing. This is why conspiracy

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Speaker 1: theory and and this was in in the earth about

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Speaker 1: two thousand nine, going to and going a little bit

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Speaker 1: beyond that, and it consumed the news cycle. I mean

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Speaker 1: it turned people against each other. Without getting too much

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Speaker 1: into it, I mean people went to jail over this, interpolled,

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Speaker 1: damn near gotten involved. It was ruining lives. Yes, yes,

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Speaker 1: like they and they asked him to, you know, release

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Speaker 1: his transcripts, right, you know, release the documents, released emails,

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Speaker 1: you know, this kind of thing. And he did and

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Speaker 1: people said, no, I don't believe you. This reminds me

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Speaker 1: of a certain president, and they're The funny thing is

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Speaker 1: this was happening right about the time of the birth

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Speaker 1: of stuff. It was almost exactly the same time. And

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Speaker 1: so the wild thing. So what ends up happening, isn't

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Speaker 1: you know, he has to flee the country because people

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Speaker 1: were pulling up on this dude's house in harassing streets,

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Speaker 1: sending him death threats in his family, death threats again

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Speaker 1: once again because they think that a rapper did not

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Speaker 1: go to a particular kind of like you ain't no cardinal.

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Speaker 1: It was some wild, wild stuff, but yeah, it really

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Speaker 1: And there's a whole lot of things in the background

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Speaker 1: and stuff like that, but that's kind of the gist

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Speaker 1: and uh, it's one of those things where when you

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Speaker 1: listen to it, it's just yo. Man. If we would

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Speaker 1: have been paying attention, maybe we would. I think we

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Speaker 1: could have seen some of this, say Q and on

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Speaker 1: stuff and all this other sort of thing. We could

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Speaker 1: have seen it. We should have seen it a mile

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Speaker 1: away if we would have been paying attention to what

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Speaker 1: was happening in Japan or excuse me, in Korea, right,

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Speaker 1: you know what I mean? So, yeah, that's wild. Yeah yeah,

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Speaker 1: and the music's good, right yeah? Are you talking about

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Speaker 1: the music in the in the podcast or Epico, Yeah,

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Speaker 1: I mean so I have to say Epighai actually does

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Speaker 1: make some dope stuff. There's a bonus episode where we

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Speaker 1: we talk about our favorite tracks or whatever. But yeah,

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Speaker 1: I do have to say the music shout out to

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Speaker 1: k Burdock who who did the soundtrack for it. We

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Speaker 1: spent a whole bunch of time actually legit, or he did,

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Speaker 1: I should say, he spent a wholere a bunch of

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Speaker 1: time making beats for the podcast, so it's all score.

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Speaker 1: The theme song is dope. He and I had back

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Speaker 1: and forth where I was we were arguing about the

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Speaker 1: proper bpm of it. He had it. He added it

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Speaker 1: you know a man, when I was just not man,

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Speaker 1: you gotta slow it down maximum because I got to

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Speaker 1: hear them hit the high hat swing got to something

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Speaker 1: like Pete Rock. But yeah, it was it was cool.

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Speaker 1: It was cool, So yeah, recommended if it the thing

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Speaker 1: that people have called it. People have called it a

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Speaker 1: k pop true crime podcast, which I was not happy

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Speaker 1: about it first, and then I realized there's sort of right,

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Speaker 1: So it's a k pop true kind podcast. But there

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Speaker 1: you go. All right, We're gonna get to know you

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

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Speaker 1: tell our listeners couple of things we're talking about. We're

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Speaker 1: gonna talk about where we're at with student loans forgiveness.

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Speaker 1: We're gonna talk about Tucker Carlson apparently too much for

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Speaker 1: news Max even they're like, yo, all that plenty more.

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Speaker 1: But first, Dexter, we like to ask our guest, what

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Speaker 1: is something from your search history? Yeah, so if I'm

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Speaker 1: gonna be totally straight up with you, I will tell

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Speaker 1: you the actual last thing that I searched, which is

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Speaker 1: I still have the window open because I'm still trying

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Speaker 1: to decipher it. It is part of the pronunciation, but

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Speaker 1: I typed in asta wil so, which is Spanish grammatically

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Speaker 1: is probably wrong, but it's how long basically until when

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Speaker 1: can you eat eggs? Basically which you would pass the

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Speaker 1: expiration date. So I've been I've been trying to teach

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Speaker 1: myself Spanish for there's a few months now, and I

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Speaker 1: feel like it's going okay, and I decided, you know what,

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Speaker 1: it's time to take the training wheels off. Let's let's

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Speaker 1: put let's get some steaks going. So I've got some

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Speaker 1: eggs in the frigerator and they're expired, and I want

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Speaker 1: to know if I can eat them. So I said,

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Speaker 1: you know what, let me look this up in Spanish.

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Speaker 1: If I get it wrong, then something bad happens to me.

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Speaker 1: Probably I don't know. I don't know what happens if

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Speaker 1: you eat expired eggs, and and I don't know what

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Speaker 1: the health implications of this are. So I've been trying

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Speaker 1: to read this art and it can't be good as

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Speaker 1: far as I can tell. No, it's not good. It's

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Speaker 1: not good. So you know, I'm trying to put you know,

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Speaker 1: my money where my mouth is, or my physical well

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Speaker 1: being where my mouth is so. Yeah, I'm sitting here

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Speaker 1: trying to read this article. How long can I wait

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Speaker 1: so that I can perhaps eat these eggs or perhaps not?

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Speaker 1: You know, obviously I'm aware that the prudent decision would

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Speaker 1: be build the way, But I figure, I'm like, you know, testing,

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Speaker 1: crack it open. If the smells funky, then that's your

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Speaker 1: that's your test, which is just what it says. But

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Speaker 1: you know, at least that's what I can make out

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Speaker 1: from this article that I'm reading, Right, that's what it says.

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Speaker 1: But but you know, I figured, you know, let's let's

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Speaker 1: let's let's put it to the test. Let's stop you know,

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Speaker 1: none of this duo lingo, none of this stuff on

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Speaker 1: the line. Yeah, put my life on the line. Let's

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Speaker 1: put some real you know, real world applications in here,

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Speaker 1: which is, you know, find out, you know, things that

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Speaker 1: could actually affect my my well being. What I mean,

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Speaker 1: can I and then would you further, if you did

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Speaker 1: have any kind of health complications then go to like

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Speaker 1: a Spanish speed space air and then try and basically

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Speaker 1: be like, what's wrong? You're like, you know me system

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Speaker 1: meet the jestive system. I've actually heard from a couple

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Speaker 1: of people that sometimes if you get put on hold,

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Speaker 1: you know, you just you know, you push number two

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Speaker 1: and actually you get somebody quicker. So I'm actually thinking

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Speaker 1: that maybe this could actually help me. See, man, this

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Speaker 1: could be a thing for me in the future, you

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Speaker 1: know what I mean. If I'm trying to get help

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Speaker 1: for something and then the phone lines are backed up,

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Speaker 1: maybe there's somebody and you know who's who's down to

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Speaker 1: help me in Spanish? You know, who wants to talk

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Speaker 1: to me in English arm because you know, like in

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Speaker 1: l A too, Like there's so many languages that they

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Speaker 1: have support for, like Vietnamese, Chinese, Russian, Armenian like etcetera.

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Speaker 1: You could, you know, you've got some Japanese skills, just

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Speaker 1: hit them up in Japanese too. Yeah, man, I mean

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Speaker 1: I don't know how much actual support there are, how

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Speaker 1: how much demand there is for assistance in Japanese. I mean,

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Speaker 1: you know, you know what that is out here. But

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Speaker 1: but yeah, I feel like, you know, the Spanish hotlines,

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Speaker 1: you know, they're they're probably pretty well developed. Hopefully. If

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Speaker 1: they're not, you know, that's an obvious absolute crime, and

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Speaker 1: you know that should be addressed. But you know, perhaps

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Speaker 1: I can avail myself of those services at some point

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Speaker 1: if I happened to eat an expired egg because I

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Speaker 1: misread the instructions on this website, which seems kind of sketchy,

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Speaker 1: but right it should be. Okay, it's an experiment, but

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Speaker 1: I'm with Miles man, just just crack it up and

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Speaker 1: smell it. I feel like you can smell your way

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Speaker 1: out of everything. That everything, It's like, smell is the

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Speaker 1: only language that's truly universal. I was raised in a

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Speaker 1: house or my mom was always like American people don't

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Speaker 1: label stuff correctly, like that's still good, you can still

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Speaker 1: eat it, like or people my friends will come over

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Speaker 1: and like, you're not refrigerating that thing on your stove.

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Speaker 1: I'm like, we don't refrigerate ship all the time in Japan.

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Speaker 1: So I'm this is a this is a thing is

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Speaker 1: normal to me, and you're gonna get sick. So I've

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Speaker 1: always grown up with this thing of like you gotta

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Speaker 1: test it, you gotta test it. And the smells. I remember,

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Speaker 1: especially when I moved out of the house, I would

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Speaker 1: call my mom be like the exact same thing, Hey,

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Speaker 1: how many days past the thing? Can I do this?

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Speaker 1: And her things like does this smell fucked up. It's

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Speaker 1: like if if if anything goes off in your nose

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Speaker 1: when you smell it, that's the best sign, Like if

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Speaker 1: any if, if it's if you're not comfortable with the

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Speaker 1: house smells, don't even worry about even if it's on

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Speaker 1: point with the date. Just but anyway, that's not real

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Speaker 1: advice from a medical professional, right. I mean I also

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Speaker 1: realized that I am I am taking I am taking

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Speaker 1: advice from just a blogger. So you know, your advice

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Speaker 1: is just as good as probably this sketchy website that

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Speaker 1: I'm looking at. You trust my mom or your trust

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Speaker 1: some blogger? Okay, yeah, well you know, I mean honestly,

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Speaker 1: perhaps you mom, I don't know, thank you, right, answer

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Speaker 1: with that Mom's for I don't know, thousands of years? Yeah,

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Speaker 1: bloggers only. Yeah, where's that podcast where it's like the

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Speaker 1: Counsel of thank You, the Council of Moms. That sounds

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Speaker 1: like a fucked up conservative group, but uh, it almost

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Speaker 1: definitely is exists. It exists. That was That was perhaps

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Speaker 1: one of the things that freaked me out the most

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Speaker 1: when I was in Japan once was everything was okay, man,

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Speaker 1: you know sushi, you know what I mean? They gave me,

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Speaker 1: you know, tacos so octopus or whatever. I was. I

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Speaker 1: was cool with that. When somebody cracked the egg on rice,

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Speaker 1: I was just yo, I thought they were trolling me.

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Speaker 1: I really thought they were playing with me. They did

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Speaker 1: it for me, and they cracked you know, the egg

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Speaker 1: on the I I would try this, you eat it? No, no,

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Speaker 1: you eat it. Show show me that this is something

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Speaker 1: that you do. And then all, yeah, granted, I ate it.

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Speaker 1: And I was just, oh, this is this is amazing,

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Speaker 1: you know at the time, but yeah, that's one that

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Speaker 1: would freak my friends out too. They're like, you're gonna

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Speaker 1: get sick. I'm like, and you will get out my face,

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Speaker 1: put some soy sauce in it, and you will fucking

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Speaker 1: wake up to the fucking truth about this exactly. And

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Speaker 1: I did. I did. But the first time, he's, yeah,

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Speaker 1: it's it's something. I mean, the Americans were were weird

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Speaker 1: about eggs, man, I don't know what it is. One

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Speaker 1: refrigeration too, because a lot of other countries don't refrigerate

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Speaker 1: their eggs. And I remember like going abroad with kids

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Speaker 1: for the first time, the eggs are like, oh is

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Speaker 1: that okay? And that yes, yes, it's same same thing.

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Speaker 1: I had that same experience yet seeing people doing that,

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Speaker 1: it's seen people not refrigerating eggs. It's just that's a

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Speaker 1: that's a that's because Americans, because the factory farming Americans

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Speaker 1: clean the cuticle off the egg, and therefore, like our

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Speaker 1: eggs are funed and need the refrigeration. That is a

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Speaker 1: fact that I learned from Council of Moms, which is

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Speaker 1: a is a Facebook group where we are a council

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Speaker 1: of young moms who have committed to praying for our sisters.

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Speaker 1: The Council of Moms on Facebook Moms, God bless the

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Speaker 1: count they're for us. What is something you think is overrated? Overrated?

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Speaker 1: There's a few things. I think that police intelligence is overrated, actually,

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Speaker 1: and I can explain this. This is the sort of

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Speaker 1: thing where people say, oh, you know, cops are dumb

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Speaker 1: or whatever, which you know, I think that's not really

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Speaker 1: necessarily the case all the time. But I've seen if

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Speaker 1: y'all seen this thing where police are playing copyrighted music

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Speaker 1: to attempt to get the present prevent people from filming

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Speaker 1: them and keeping the copyright, you know, basically on YouTube. Yeah,

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Speaker 1: very recently, Yeah, with this exact same fun. It keeps happening.

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Speaker 1: It keeps happening. And the first and the first time

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Speaker 1: was I want to say it was in February of

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Speaker 1: last year, and it was you know, them playing Sublime,

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Speaker 1: playing the Beatles and stuff like that. And then so

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Speaker 1: you probably know, the most recent one was sant Anna.

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Speaker 1: Do you'all talk about that one? Yeah, yeah, yeah, And

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Speaker 1: it was just, yo, that's not how this works at all.

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Speaker 1: And but that being said, a lot of people do

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Speaker 1: think that's how it works, right, But but this is

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Speaker 1: something where you would think that I would imagine not

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Speaker 1: to give anybody on ideas, but I would imagine the

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Speaker 1: police departments at some point would have sent out a

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Speaker 1: memo to there, you know, to the employees saying, hey, listen,

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Speaker 1: not only is this a bad idea, it doesn't actually work,

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Speaker 1: So don't what people keep doing. It's been a year

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Speaker 1: since the first one and we're talking about this keeps happening,

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Speaker 1: specifically in California, and he's happening really close to each other,

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Speaker 1: so it's not like some far off land. It's just

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Speaker 1: y'all haven't got the memo yet. You still trying to

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Speaker 1: you're trying to play mulan were a crime solving and

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Speaker 1: the only people who are deputized to like use murder

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Speaker 1: like at their own discretion to people who have the

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Speaker 1: analytical nose for the truth of my aunt who sends

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Speaker 1: me email forwards, Like that's that's where they're at. That

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Speaker 1: is their fact checking processes. Just like somebody sent me

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Speaker 1: this where I saw a viral video and didn't even think, wait,

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Speaker 1: this viral video is up and the music is playing work.

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Speaker 1: It did not work? If yeah, there's like I mean,

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Speaker 1: I think it also speaks to how the impunity at

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Speaker 1: which they operate at, you know, like they really don't

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Speaker 1: feel like they no one can hold them to account,

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Speaker 1: and so when they do stuff like this, like these

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Speaker 1: blatant tricks to obscure their behavior, it's like that's like you,

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Speaker 1: you know, buying burner phones for your illicit drug operation.

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Speaker 1: But then be like, now, these burner phones are just

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Speaker 1: other phones I use. They're not to cover up anything,

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00:20:27,080 --> 00:20:29,440
Speaker 1: whereas this is so aggressively meant to be like I'm

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Speaker 1: playing this music, so you can't actually broadcast to anyone

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Speaker 1: how I'm you know, transgressing in any way. And that's

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Speaker 1: the solution to this is merely to just do this,

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Speaker 1: and there's the same thing that we're saying. It's like

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Speaker 1: you might as well put a scheme mask on to

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Speaker 1: take your badge off, be like, I don't know who

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Speaker 1: I am and I don't know what you're talking about. Yeah,

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Speaker 1: I mean that's and that's the wild thing is every

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Speaker 1: single time that this has been observed, they've all been

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Speaker 1: doing something really innocuous, just sitting around. There's never been

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Speaker 1: at least, you know, as far as we've seen, because

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Speaker 1: who knows, maybe it would of work, maybe it's worked

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Speaker 1: at some point, but it's not like they were doing

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Speaker 1: something really sensitive. It's always been just some dudes sitting

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Speaker 1: around in station and they feel annoyed that there's an

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Speaker 1: activist in there, and they start turning on some tunes.

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Speaker 1: It's you know, but then that brings you to, Okay, well,

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Speaker 1: what if Derek Chauvin would have turned on the squad

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Speaker 1: car radio and it would have worked, right, which is

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00:21:23,160 --> 00:21:25,639
Speaker 1: what you know, obviously, I think is when people are

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00:21:25,640 --> 00:21:28,480
Speaker 1: really concerned about this, that's what's concerning them. But it's

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Speaker 1: just it's wild to me that this continues to happen

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00:21:33,040 --> 00:21:38,000
Speaker 1: because it's such an obviously bad idea. There's no, there's

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00:21:38,080 --> 00:21:42,200
Speaker 1: no reasonable explanation for it, but they keep doing it,

390
00:21:43,040 --> 00:21:46,960
Speaker 1: and I'm just I'm perhaps I shouldn't be surprised, but

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Speaker 1: I guess it's when the Santa and One happened. I

392
00:21:49,720 --> 00:21:52,120
Speaker 1: was really just we're still doing this, y'all are still

393
00:21:52,119 --> 00:21:56,159
Speaker 1: doing this. So yeah, somebody's got to do a movie.

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00:21:56,440 --> 00:21:59,320
Speaker 1: A movie scene where like it's that scene where like

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00:21:59,400 --> 00:22:02,959
Speaker 1: there's twenty different people scrambling up the fire escape and

396
00:22:02,960 --> 00:22:05,360
Speaker 1: like getting ready to repel down and then they just

397
00:22:05,400 --> 00:22:08,800
Speaker 1: like turn on. We don't talk about Bruno like before,

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00:22:08,920 --> 00:22:10,760
Speaker 1: right before they do it, and like the bad guys

399
00:22:10,760 --> 00:22:14,439
Speaker 1: are like, it's what I'm talking about, Bruno, Like they're coming.

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00:22:15,160 --> 00:22:19,560
Speaker 1: I could definitely, I don't know, I could see that. Yeah, yeah,

401
00:22:19,760 --> 00:22:23,440
Speaker 1: there we go. That'd be yeah, dark, very dark. But

402
00:22:25,840 --> 00:22:27,800
Speaker 1: I like that's what your mind went, is this. This

403
00:22:27,880 --> 00:22:29,760
Speaker 1: is well known enough that we could make this a

404
00:22:29,920 --> 00:22:33,000
Speaker 1: plot point and the very observant would know exactly what's

405
00:22:33,040 --> 00:22:36,879
Speaker 1: going on. Well, like because the like gritty, supposedly realistic

406
00:22:37,240 --> 00:22:41,000
Speaker 1: cop movies are always you know, at least they have

407
00:22:41,240 --> 00:22:44,000
Speaker 1: like some guy who's like I'm a true detective, like

408
00:22:44,280 --> 00:22:47,880
Speaker 1: I'm good police, and it's like no they're idiots like that.

409
00:22:48,160 --> 00:22:51,520
Speaker 1: I want a gritty police drama where it's like, these

410
00:22:51,520 --> 00:22:56,600
Speaker 1: guys are fucking dumb. Your holy sh it. What's something

411
00:22:56,640 --> 00:22:59,720
Speaker 1: you think is underrated? Overall? I think being nice is

412
00:22:59,800 --> 00:23:03,520
Speaker 1: un rated. But specifically, I think being being nice to

413
00:23:04,280 --> 00:23:09,000
Speaker 1: video game developers, I think it's really underrated. I don't

414
00:23:09,000 --> 00:23:11,600
Speaker 1: know why we can't just be nice to people who

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00:23:11,640 --> 00:23:17,080
Speaker 1: made games for us. What specific bit of outraised are

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00:23:17,080 --> 00:23:21,400
Speaker 1: you referencing all of them? Basically? I mean there there's

417
00:23:21,440 --> 00:23:26,240
Speaker 1: one specifically that legit I basically started. Y'all played Halo Infinite.

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00:23:26,920 --> 00:23:28,959
Speaker 1: I played a little bit of it. Yeah, okay yo.

419
00:23:29,560 --> 00:23:33,840
Speaker 1: That fan base is so toxic. I had to stop playing. Man,

420
00:23:34,080 --> 00:23:37,119
Speaker 1: it's so bad. If you, I mean obviously read it,

421
00:23:37,359 --> 00:23:39,600
Speaker 1: you know, maybe just don't go on Reddit period. But

422
00:23:40,520 --> 00:23:42,560
Speaker 1: I started getting really, really in a Halo man. I

423
00:23:42,600 --> 00:23:45,040
Speaker 1: was playing so much. I probably put in a hundred

424
00:23:45,040 --> 00:23:47,159
Speaker 1: fifty hours over the course of maybe a month or

425
00:23:47,160 --> 00:23:50,800
Speaker 1: some chance. I was putting work, man, and I was

426
00:23:50,800 --> 00:23:54,360
Speaker 1: getting all right, and you know, you're playing the game

427
00:23:54,400 --> 00:23:57,000
Speaker 1: and you want to learn, you just oh, maybe I

428
00:23:57,000 --> 00:23:59,840
Speaker 1: can find some tips online or something like that. And

429
00:24:00,080 --> 00:24:02,920
Speaker 1: so you know there's people who are posting clips and

430
00:24:02,960 --> 00:24:04,800
Speaker 1: stuff like that on YouTube, And of course I always

431
00:24:04,840 --> 00:24:08,800
Speaker 1: read the comments because people add stuff in or whatever. Yo,

432
00:24:09,400 --> 00:24:12,240
Speaker 1: every all of it. If you look up things, you'll

433
00:24:12,400 --> 00:24:15,399
Speaker 1: learn something in the videos. Oh here's how to do

434
00:24:15,480 --> 00:24:17,960
Speaker 1: this trick, or here's here's here's a strategy for this

435
00:24:18,000 --> 00:24:20,960
Speaker 1: map or whatever. But man, all the comments are just man,

436
00:24:21,240 --> 00:24:23,919
Speaker 1: these devs, they don't even care about X Y Z

437
00:24:24,080 --> 00:24:26,600
Speaker 1: and man, I remember when devs used to care about

438
00:24:26,720 --> 00:24:28,720
Speaker 1: the craft of making video games. Just bro, have you

439
00:24:28,720 --> 00:24:33,480
Speaker 1: ever played Karate Kid for Nintendo? Have you played the

440
00:24:33,640 --> 00:24:41,240
Speaker 1: X Men game Nintendo? Like, do you know what? You know?

441
00:24:41,240 --> 00:24:43,840
Speaker 1: What I mean? And it's but and then the other

442
00:24:43,880 --> 00:24:46,960
Speaker 1: wild thing is all that toxicity. I feel like it's

443
00:24:47,040 --> 00:24:49,800
Speaker 1: somehow it's got to be feeding it, you know, if

444
00:24:49,840 --> 00:24:53,160
Speaker 1: it turns into this vac or this kind of spiral, right,

445
00:24:53,200 --> 00:24:55,680
Speaker 1: and then the people making videos that be saying, yeah,

446
00:24:55,760 --> 00:24:58,119
Speaker 1: here's this trick on how you can catch somebody by

447
00:24:58,119 --> 00:25:00,439
Speaker 1: surprise if you go around the corner. But also, you what, man,

448
00:25:00,480 --> 00:25:02,560
Speaker 1: forget this game. These devs are terrible. Maybe the fixed,

449
00:25:02,600 --> 00:25:05,320
Speaker 1: but I really don't think they are. Bro. You're making

450
00:25:05,320 --> 00:25:09,480
Speaker 1: a living on making content about Halo. And then what happens, yo,

451
00:25:09,680 --> 00:25:13,280
Speaker 1: I promise you. Man. Right after this is I'm watching

452
00:25:13,280 --> 00:25:16,840
Speaker 1: all these Halo videos and then the algorithm YouTube algorithm

453
00:25:16,960 --> 00:25:19,280
Speaker 1: kicks in, right, So first I watch a few Halo

454
00:25:19,359 --> 00:25:21,600
Speaker 1: videos and it says, oh, you're interested in Halo, should

455
00:25:21,640 --> 00:25:24,160
Speaker 1: start showing me some more Halo videos, right, And then

456
00:25:24,160 --> 00:25:27,720
Speaker 1: it says, hey, perhaps you'd like these Joe Rolet experienced click.

457
00:25:29,000 --> 00:25:32,959
Speaker 1: And then it says perhaps you'd like this Jordan Peter too, Yeah,

458
00:25:33,160 --> 00:25:36,960
Speaker 1: And then one would you would you like to see

459
00:25:37,160 --> 00:25:40,600
Speaker 1: a compilation of Ben Shapiro owning college Liberals? And it's

460
00:25:40,640 --> 00:25:46,560
Speaker 1: just yo, just like the pipeline from just Halo two,

461
00:25:46,880 --> 00:25:49,800
Speaker 1: just be trying to play some regular, regular video games,

462
00:25:49,920 --> 00:25:52,240
Speaker 1: just going straight, just off the deep end, man, is

463
00:25:53,080 --> 00:25:55,320
Speaker 1: It's it's bad. I'm just I'm just trying to play

464
00:25:55,320 --> 00:25:57,440
Speaker 1: some video games. We gotta be nice to these people

465
00:25:57,440 --> 00:25:59,480
Speaker 1: and they're trying to make games for us, if only

466
00:26:00,119 --> 00:26:02,120
Speaker 1: how are you gonna It's like getting mad at like

467
00:26:02,320 --> 00:26:05,399
Speaker 1: somebody at a company who's like they're not really calling

468
00:26:05,440 --> 00:26:08,199
Speaker 1: the shots. I do like the the the amount of

469
00:26:08,240 --> 00:26:11,840
Speaker 1: work developers have to put in, like the fucked up

470
00:26:11,960 --> 00:26:15,000
Speaker 1: work practices and being like, okay, so we're behind on

471
00:26:15,040 --> 00:26:17,760
Speaker 1: this game or like we're not on schedule, y'all are

472
00:26:17,760 --> 00:26:20,399
Speaker 1: gonna have to work yourselves into the ground to deliver

473
00:26:20,480 --> 00:26:22,359
Speaker 1: a thing that is then going to get people are

474
00:26:22,400 --> 00:26:24,800
Speaker 1: gonna get mad at because we didn't give you guys

475
00:26:24,840 --> 00:26:28,679
Speaker 1: adequate time to even program the game. Like there's like

476
00:26:28,720 --> 00:26:31,560
Speaker 1: this whole the way the industry works is only exacerbating

477
00:26:31,600 --> 00:26:34,560
Speaker 1: that too. And I think that's why the people more

478
00:26:34,560 --> 00:26:36,600
Speaker 1: people aren't aware. It's like, yo, get mad at the

479
00:26:36,840 --> 00:26:40,600
Speaker 1: at the company first, not the the individual developers first.

480
00:26:41,240 --> 00:26:45,280
Speaker 1: Why is happening harassing the developers and stuff like that,

481
00:26:45,560 --> 00:26:48,320
Speaker 1: And and that's I mean, it's precisely like that. We're

482
00:26:48,440 --> 00:26:51,240
Speaker 1: just now getting the point where you know, video game

483
00:26:51,320 --> 00:26:55,160
Speaker 1: reporters will report on the labor practices of the company, right,

484
00:26:55,240 --> 00:26:57,439
Speaker 1: and then you'll see that. Then you'll see the fans

485
00:26:57,440 --> 00:26:59,520
Speaker 1: of the game get mad insane, Yo, why are you

486
00:26:59,560 --> 00:27:03,240
Speaker 1: talking about that? You know, get bring my game out faster?

487
00:27:03,440 --> 00:27:09,200
Speaker 1: Just chill. They're working eighty hour weeks, they're not getting paid. Well,

488
00:27:09,880 --> 00:27:13,720
Speaker 1: just about this. Then don't buy the game? Yeah you so,

489
00:27:13,760 --> 00:27:16,679
Speaker 1: then shut up, do something else. Read a book. It's fine.

490
00:27:17,880 --> 00:27:20,200
Speaker 1: Oh there's so many good books. Have you guys heard

491
00:27:20,200 --> 00:27:24,399
Speaker 1: of these things. Books. I just read a book what

492
00:27:24,520 --> 00:27:28,360
Speaker 1: I was on vacation, read this classic novel. It's the

493
00:27:28,400 --> 00:27:33,119
Speaker 1: Prima Guide to tomb Raid or to on PlayStation. Just

494
00:27:33,240 --> 00:27:37,800
Speaker 1: classical literature, you know what I mean. Amazing, amazing. Yeah, man,

495
00:27:37,880 --> 00:27:40,000
Speaker 1: I don't know. So yeah, I feel like, you know,

496
00:27:40,119 --> 00:27:42,439
Speaker 1: if you if you know a game developer, just you know,

497
00:27:42,880 --> 00:27:46,000
Speaker 1: give him, give him a hug, or or just don't

498
00:27:46,040 --> 00:27:47,840
Speaker 1: that thing you were going to tweet at them, just don't.

499
00:27:47,960 --> 00:27:50,199
Speaker 1: You could not tweet at them, not if you have

500
00:27:50,240 --> 00:27:52,240
Speaker 1: to tat say hey, I know this isn't your fault,

501
00:27:53,160 --> 00:27:55,200
Speaker 1: but I'm still a piece of ship and I will

502
00:27:55,280 --> 00:27:58,400
Speaker 1: go on with this tweet exactly. By the way, the

503
00:27:58,800 --> 00:28:01,440
Speaker 1: YouTube trying to take you from like complaints about Halo

504
00:28:01,520 --> 00:28:04,320
Speaker 1: to Joe Rogan to Ben Shapiro is the past again

505
00:28:04,440 --> 00:28:07,760
Speaker 1: where we're retracing what led us to Q and on

506
00:28:08,160 --> 00:28:12,600
Speaker 1: like right there, right, yeah, yeah. Something about being mad

507
00:28:12,640 --> 00:28:18,119
Speaker 1: at video games just really seguays nicely into authoritarianism and

508
00:28:18,560 --> 00:28:22,760
Speaker 1: the death of America. It's weird. It's it's yeah, here,

509
00:28:22,800 --> 00:28:25,920
Speaker 1: we are, here, we are. I feel that way about

510
00:28:26,000 --> 00:28:29,520
Speaker 1: like a lot of culture. I feel like, well, watching

511
00:28:29,920 --> 00:28:32,359
Speaker 1: the NBA playoffs and just like so much of the

512
00:28:32,359 --> 00:28:35,800
Speaker 1: Twitter commentary is just people being like you did that

513
00:28:35,840 --> 00:28:38,560
Speaker 1: on purpose? He sucks, This is bullshit, Like he doesn't

514
00:28:38,600 --> 00:28:41,680
Speaker 1: stack up with Jordan's is just like, yo, what the

515
00:28:41,760 --> 00:28:45,120
Speaker 1: funk is wrong with everybody? Like this is just fun?

516
00:28:45,600 --> 00:28:50,520
Speaker 1: Like these guys are fucking performing miracles thinking in front

517
00:28:50,520 --> 00:28:53,360
Speaker 1: of you for your entertainment. It happens all the time, right,

518
00:28:53,520 --> 00:28:55,560
Speaker 1: is like there are things that bring you joy, and

519
00:28:55,600 --> 00:28:59,080
Speaker 1: then when it's not hitting the same for you, like

520
00:28:59,280 --> 00:29:02,800
Speaker 1: you get really it's it's like fucking you get confused

521
00:29:02,840 --> 00:29:04,239
Speaker 1: and you start being like, well now I'm angry at

522
00:29:04,280 --> 00:29:06,280
Speaker 1: the fucking thing that doesn't give me as much joy,

523
00:29:06,400 --> 00:29:08,760
Speaker 1: rather than taking a second be like, hold on, this

524
00:29:08,880 --> 00:29:11,040
Speaker 1: might be other things happening. It's not just that the

525
00:29:11,200 --> 00:29:17,160
Speaker 1: devs fucking sucking or hate me or don't care. Right,

526
00:29:17,920 --> 00:29:20,320
Speaker 1: all right, let's take a quick break. We'll come right

527
00:29:20,360 --> 00:29:35,200
Speaker 1: back and talk about student loans. And we're back, and

528
00:29:35,320 --> 00:29:39,959
Speaker 1: there there's a debate swirling these days as it relates

529
00:29:40,000 --> 00:29:44,600
Speaker 1: to student loan debt forgiveness, and you know Biden's poll numbers,

530
00:29:46,480 --> 00:29:49,080
Speaker 1: So people are like, hey, remember this idea that you

531
00:29:49,120 --> 00:29:51,600
Speaker 1: said you were gonna do and then said you weren't

532
00:29:51,600 --> 00:29:53,760
Speaker 1: going to do a little bit ago like maybe we

533
00:29:54,200 --> 00:29:57,000
Speaker 1: maybe we're taken another look at that. Yeah, and right now,

534
00:29:57,280 --> 00:30:00,400
Speaker 1: the you know there there have been some steps this

535
00:30:00,440 --> 00:30:04,160
Speaker 1: week where they're forgiving forty thousand student loans and trying

536
00:30:04,200 --> 00:30:07,360
Speaker 1: to provide aid to millions more, but it's falling short

537
00:30:07,480 --> 00:30:10,840
Speaker 1: of like the kind of debt forgiveness that we were

538
00:30:10,840 --> 00:30:17,360
Speaker 1: talking about, right and in general, to you know, shore

539
00:30:17,480 --> 00:30:20,760
Speaker 1: up people's funds so they are able to you know,

540
00:30:21,080 --> 00:30:23,200
Speaker 1: move on with their lives and not just be saddled

541
00:30:23,200 --> 00:30:26,760
Speaker 1: with student debt. And like I was like just this week,

542
00:30:26,800 --> 00:30:28,960
Speaker 1: like you can already see even like with you know

543
00:30:29,560 --> 00:30:32,520
Speaker 1: out like news outlets that are more focused towards like

544
00:30:32,600 --> 00:30:37,800
Speaker 1: Democrats that the more moderate centrist corporate dem takes are

545
00:30:37,840 --> 00:30:40,880
Speaker 1: being like, sure, you could cancel student debt, but then

546
00:30:40,960 --> 00:30:43,240
Speaker 1: like what I mean, it's just a band aid fixed

547
00:30:43,240 --> 00:30:44,800
Speaker 1: and like plus, like a lot of people are gonna

548
00:30:44,800 --> 00:30:47,120
Speaker 1: get mad because like they're gonna be like what about

549
00:30:47,160 --> 00:30:50,360
Speaker 1: my you know, what about my issues and sort of

550
00:30:50,440 --> 00:30:52,760
Speaker 1: leaving it there. You have also then the progressives who

551
00:30:52,760 --> 00:30:55,200
Speaker 1: are like you need to cancel this. That's a thing

552
00:30:55,240 --> 00:30:57,400
Speaker 1: we've been talking about for so long it's holding so

553
00:30:57,440 --> 00:31:01,479
Speaker 1: many people back, not just young people, but people there

554
00:31:01,480 --> 00:31:03,880
Speaker 1: are people like the people who owe the like the

555
00:31:03,960 --> 00:31:07,600
Speaker 1: people thirty five and up own just a slight majority

556
00:31:07,600 --> 00:31:09,840
Speaker 1: of the actual all of the student debt that's owed

557
00:31:09,920 --> 00:31:12,040
Speaker 1: right now, and then even then a lot of those

558
00:31:12,080 --> 00:31:16,800
Speaker 1: people like or more on their loans still still being

559
00:31:16,840 --> 00:31:20,440
Speaker 1: in the thirty five and up cohort. So this kind

560
00:31:20,480 --> 00:31:22,200
Speaker 1: of thing is just going back and forth and back

561
00:31:22,200 --> 00:31:24,240
Speaker 1: and forth, and I think the issue is like it's

562
00:31:24,280 --> 00:31:26,959
Speaker 1: starting to become it's reminded me of like the just

563
00:31:27,040 --> 00:31:29,680
Speaker 1: the idea of police reform, and then you've got this

564
00:31:29,720 --> 00:31:33,360
Speaker 1: one term or phrase defund the police, which in general

565
00:31:33,480 --> 00:31:35,880
Speaker 1: people like, yes, but if you're not savvy enough to

566
00:31:35,920 --> 00:31:38,120
Speaker 1: understand the nuance behind it, you're just gonna be like,

567
00:31:38,480 --> 00:31:40,800
Speaker 1: defund the police, then nobody, No police will show up

568
00:31:40,800 --> 00:31:44,080
Speaker 1: when there's crying. And with this canceling student debt, I

569
00:31:44,120 --> 00:31:46,760
Speaker 1: think people are looking at the same thing, which is like, well,

570
00:31:47,000 --> 00:31:49,200
Speaker 1: you cancel student debt, than then what Well, it's what

571
00:31:49,240 --> 00:31:51,720
Speaker 1: people have been saying since the beginning, what activists have

572
00:31:51,720 --> 00:31:54,040
Speaker 1: been saying since the beginning, which is we need to

573
00:31:54,080 --> 00:31:58,040
Speaker 1: actually look at every the entire educational system, and the

574
00:31:58,040 --> 00:32:01,800
Speaker 1: financial system that is used for people to attain higher education.

575
00:32:02,200 --> 00:32:04,840
Speaker 1: This is all part of a larger conversation because tuitions

576
00:32:04,880 --> 00:32:08,040
Speaker 1: have skyrocketed and we're not we're not just tackling from

577
00:32:08,200 --> 00:32:10,680
Speaker 1: like we'll get let these people get some free money.

578
00:32:10,880 --> 00:32:12,680
Speaker 1: It's we need to even think of what does it

579
00:32:12,720 --> 00:32:15,000
Speaker 1: mean to get a college degree, who should have who

580
00:32:15,040 --> 00:32:17,160
Speaker 1: has access to it? If you want to learn a trade,

581
00:32:17,480 --> 00:32:20,239
Speaker 1: that it shouldn't set you back for decades because you're

582
00:32:20,280 --> 00:32:22,800
Speaker 1: simply trying to like learn some life skills to to

583
00:32:22,920 --> 00:32:25,480
Speaker 1: better yourself. And I think that's what's kind of like

584
00:32:25,520 --> 00:32:28,600
Speaker 1: missing in a lot of the discussions. But I think

585
00:32:28,640 --> 00:32:29,680
Speaker 1: I think I think at the end of the day,

586
00:32:29,720 --> 00:32:31,880
Speaker 1: it's really clear that one side is really trying to

587
00:32:31,920 --> 00:32:35,520
Speaker 1: make it seem that this is actually it's gonna backfire

588
00:32:35,520 --> 00:32:39,000
Speaker 1: on Joe Biden if he does this when I really

589
00:32:39,000 --> 00:32:43,680
Speaker 1: have trouble understanding how that works. Yeah, the the reform,

590
00:32:43,720 --> 00:32:46,040
Speaker 1: you know, it's just like a strong man thing where

591
00:32:46,040 --> 00:32:50,320
Speaker 1: they're like, well, by reform, you're gonna just make everybody mad.

592
00:32:50,440 --> 00:32:55,320
Speaker 1: And because because they're assuming, like all all the the

593
00:32:55,400 --> 00:32:58,840
Speaker 1: dumb things that could go wrong with it, like all

594
00:32:58,840 --> 00:33:02,280
Speaker 1: the worst versions of it there's there's there's like this

595
00:33:02,400 --> 00:33:05,800
Speaker 1: Brookings Institute study that a lot of these people reference, right,

596
00:33:06,120 --> 00:33:09,160
Speaker 1: and they're like, well, they're like, well, look at the

597
00:33:09,360 --> 00:33:12,120
Speaker 1: like you. They'll hear this talking point. They'll say, well,

598
00:33:12,640 --> 00:33:16,920
Speaker 1: twenty like the highest earning of student loan borrowers holdt

599
00:33:17,360 --> 00:33:19,920
Speaker 1: of the debt, so it's gonna it's gonna benefit wealthy

600
00:33:19,960 --> 00:33:25,840
Speaker 1: people too much. Okay, by that logic, hold seventy percent,

601
00:33:25,920 --> 00:33:29,400
Speaker 1: the lower eight percent hold seventy of the debt. Right.

602
00:33:30,280 --> 00:33:32,880
Speaker 1: I'm I'm like, I'm like that that. I think that

603
00:33:33,000 --> 00:33:36,800
Speaker 1: actually benefits a plurality of people that that wouldn't otherwise

604
00:33:36,840 --> 00:33:38,720
Speaker 1: be you know, able to pay their debts. And I

605
00:33:38,760 --> 00:33:41,160
Speaker 1: get this sort of nuance of saying like, there are

606
00:33:41,160 --> 00:33:43,280
Speaker 1: people who go to medical school and now they're you know,

607
00:33:43,320 --> 00:33:45,400
Speaker 1: they're set up to make millions over time, so their

608
00:33:45,400 --> 00:33:47,160
Speaker 1: debt isn't as big of an issue. And sure you

609
00:33:47,200 --> 00:33:48,760
Speaker 1: can look at that and try and find a way

610
00:33:48,760 --> 00:33:51,360
Speaker 1: to at least address the people who are the most

611
00:33:51,480 --> 00:33:53,800
Speaker 1: crippled by their debt. I think that's completely fair and

612
00:33:53,840 --> 00:33:56,640
Speaker 1: I think that that's worthwhile. But to then just sort

613
00:33:56,640 --> 00:33:59,800
Speaker 1: of end the conversation there, rather than the larger conversation,

614
00:34:00,120 --> 00:34:03,200
Speaker 1: just higher education has become a runaway train of like

615
00:34:03,360 --> 00:34:07,880
Speaker 1: high tuitions. The financial system is predatory, and we're holding

616
00:34:07,960 --> 00:34:12,760
Speaker 1: generations back and we're not treating it like a systemic issue. Yeah,

617
00:34:12,800 --> 00:34:16,799
Speaker 1: it's it's a mess, man. I mean, even because before

618
00:34:16,800 --> 00:34:18,600
Speaker 1: I was doing the journalism thing, man, you know, I

619
00:34:18,680 --> 00:34:22,440
Speaker 1: was strictly you know, working on a PhD and you know,

620
00:34:22,560 --> 00:34:27,120
Speaker 1: finish that, and I watched people. I mean, first off,

621
00:34:27,160 --> 00:34:30,360
Speaker 1: I used to give people. People would ask me for advice.

622
00:34:30,440 --> 00:34:32,360
Speaker 1: You know, hey, I'm thinking about getting a PhD. You

623
00:34:32,400 --> 00:34:36,480
Speaker 1: know my advice and anybody listen, don't why why would

624
00:34:36,480 --> 00:34:38,440
Speaker 1: you do that? You know, I'm happy with what I

625
00:34:38,480 --> 00:34:41,200
Speaker 1: have or whatever, but you know, why would you do it?

626
00:34:41,440 --> 00:34:48,719
Speaker 1: And even for college it's I look at how I

627
00:34:48,760 --> 00:34:51,000
Speaker 1: look at the people who were coming in and kind

628
00:34:51,000 --> 00:34:52,880
Speaker 1: of the expectations that they have that they're just going

629
00:34:52,920 --> 00:34:57,040
Speaker 1: to have be able to live after they leave, and

630
00:34:57,480 --> 00:34:59,960
Speaker 1: they're more and more concerned. The last class I take

631
00:35:00,200 --> 00:35:02,879
Speaker 1: was over the summer, and I mean you could see

632
00:35:02,880 --> 00:35:05,239
Speaker 1: if the students are they're nervous, man, because they know

633
00:35:05,280 --> 00:35:08,160
Speaker 1: they're taking on all this debt, and it affects the

634
00:35:08,200 --> 00:35:10,760
Speaker 1: way even just the way that they're able to choose

635
00:35:10,800 --> 00:35:16,040
Speaker 1: classes and stuff like that, and yeah, man, it's it's

636
00:35:16,080 --> 00:35:19,560
Speaker 1: it's weird that I suppose. I'm not surprised though, that

637
00:35:19,680 --> 00:35:24,960
Speaker 1: this the possibility of you know, relieving student debt came

638
00:35:25,040 --> 00:35:26,640
Speaker 1: up and then it went away pretty quickly. That that

639
00:35:26,719 --> 00:35:30,160
Speaker 1: didn't shock me, all right, you know, perhaps it's disappointing,

640
00:35:30,520 --> 00:35:32,399
Speaker 1: so I would say, but but it's I didn't. I'm

641
00:35:32,440 --> 00:35:36,440
Speaker 1: not surprised, right, I mean, I think and there's like

642
00:35:36,480 --> 00:35:38,319
Speaker 1: this whole thing too. It's like, well, just don't even

643
00:35:38,360 --> 00:35:42,040
Speaker 1: it's gonna be too opportunistic or whatever they think. I'm like, well,

644
00:35:42,080 --> 00:35:43,919
Speaker 1: it's so as lying to people to get to vote

645
00:35:43,920 --> 00:35:46,040
Speaker 1: for you. So I don't know what what what the

646
00:35:46,120 --> 00:35:49,000
Speaker 1: argument is there. But like then they even the other

647
00:35:49,120 --> 00:35:51,920
Speaker 1: you know, Democrats are like, well, Republicans you can already

648
00:35:51,920 --> 00:35:54,440
Speaker 1: see the headlines being written that you know, this is

649
00:35:54,440 --> 00:35:57,480
Speaker 1: clearly just meant to benefit the elites. Like Republicans go

650
00:35:57,560 --> 00:35:59,720
Speaker 1: to college too, and they also have student debt, and

651
00:36:00,040 --> 00:36:03,400
Speaker 1: student debt relief is polling at much higher levels than

652
00:36:03,440 --> 00:36:07,000
Speaker 1: the fucking tax cuts from yet they still went through

653
00:36:07,000 --> 00:36:09,560
Speaker 1: with that ship. So there's a lot of like there's

654
00:36:09,560 --> 00:36:12,719
Speaker 1: a lot of disingenuous talking points coming out, but like

655
00:36:12,760 --> 00:36:15,560
Speaker 1: if you really take some of these like moderate Democrats

656
00:36:15,560 --> 00:36:17,480
Speaker 1: that their word were like they're saying, you can't just

657
00:36:17,520 --> 00:36:19,239
Speaker 1: cancel it. There's like so many other things. It's a

658
00:36:19,280 --> 00:36:22,520
Speaker 1: band aid fix. You're right, So you're saying that we

659
00:36:22,600 --> 00:36:26,360
Speaker 1: need to address not just canceled it like a forgive

660
00:36:26,400 --> 00:36:28,920
Speaker 1: this debt, but we also need to address the underlying

661
00:36:29,000 --> 00:36:32,680
Speaker 1: problems because this is a systemic issue and a band

662
00:36:32,680 --> 00:36:34,880
Speaker 1: aid fix won't work. Similar to like when a police

663
00:36:34,880 --> 00:36:38,319
Speaker 1: departments like, oh, we just need to ban choke holts. Oh,

664
00:36:38,440 --> 00:36:41,040
Speaker 1: that's it's just the choke holts. No, it's not just

665
00:36:41,080 --> 00:36:43,120
Speaker 1: the choke call is this is a systemic issue that

666
00:36:43,200 --> 00:36:46,279
Speaker 1: needs to be addressed. And I think people that the conversation,

667
00:36:46,680 --> 00:36:48,600
Speaker 1: I think moderates are doing a really good job of

668
00:36:48,640 --> 00:36:50,919
Speaker 1: just framing it as these people want free money and

669
00:36:51,040 --> 00:36:53,239
Speaker 1: Republicans are gonna and working class people are gonna be

670
00:36:53,280 --> 00:36:56,879
Speaker 1: so pissed when this happens, rather than like the the

671
00:36:56,920 --> 00:36:58,640
Speaker 1: reform that I think a lot of people were thinking

672
00:36:58,680 --> 00:37:01,480
Speaker 1: of when this administration was potentially going to come to power,

673
00:37:01,520 --> 00:37:03,399
Speaker 1: of like are we going to actually take a look

674
00:37:03,400 --> 00:37:07,000
Speaker 1: at community college who gets to get an education if

675
00:37:07,000 --> 00:37:09,440
Speaker 1: they want to and have a reality where that is

676
00:37:09,480 --> 00:37:12,279
Speaker 1: the norm. Yeah, I mean the price of even just

677
00:37:12,320 --> 00:37:14,239
Speaker 1: here in the California, the price of the U s

678
00:37:14,440 --> 00:37:20,000
Speaker 1: IS is just skyrocketing continually, continually, and yeah, I mean

679
00:37:20,000 --> 00:37:24,040
Speaker 1: it's viewed as a ticket to have a decent middle

680
00:37:24,080 --> 00:37:26,200
Speaker 1: class life. But it's just okay if you don't buy

681
00:37:26,200 --> 00:37:28,120
Speaker 1: that ticket. A lot of people feel like, Okay, well

682
00:37:28,239 --> 00:37:31,080
Speaker 1: I'm stuck. But you'll have you'll seen um, have you'all

683
00:37:31,080 --> 00:37:36,799
Speaker 1: seen paid Off? The game show that Michael Torpi did. No, yo,

684
00:37:37,440 --> 00:37:40,480
Speaker 1: so this is some real So I don't think it's

685
00:37:40,600 --> 00:37:43,400
Speaker 1: it's on anymore, but for a while it was a

686
00:37:43,400 --> 00:37:46,200
Speaker 1: game show and I forget what channel was on, but

687
00:37:46,320 --> 00:37:49,640
Speaker 1: it was done. The host is Michael Torpy, so he

688
00:37:49,680 --> 00:37:51,919
Speaker 1: was an origin of New Black and and I think

689
00:37:51,960 --> 00:37:54,719
Speaker 1: he was in a Haynes commercial also. But basically, the

690
00:37:54,880 --> 00:37:58,520
Speaker 1: the conceit of the show is you would go on

691
00:37:59,160 --> 00:38:01,200
Speaker 1: and if you win in the game, if you win

692
00:38:01,280 --> 00:38:06,000
Speaker 1: the game show, they pay for your student debt for you. Wow,

693
00:38:06,320 --> 00:38:09,600
Speaker 1: that's the entire conceit of the show. And it's super

694
00:38:10,000 --> 00:38:14,400
Speaker 1: It's so it's very just you know, boring dystopia vibes

695
00:38:14,960 --> 00:38:18,680
Speaker 1: but I'm sort of surprised. I really wish it would

696
00:38:18,719 --> 00:38:24,000
Speaker 1: come back because I feel like that would It was

697
00:38:24,080 --> 00:38:28,880
Speaker 1: so obviously just depressing to watch because you know, it

698
00:38:28,920 --> 00:38:30,360
Speaker 1: was a fun game show. It's a very standard It

699
00:38:30,400 --> 00:38:32,000
Speaker 1: was a very standard game show. You would ask me

700
00:38:32,320 --> 00:38:34,520
Speaker 1: really just softball questions, because the thing is he actually

701
00:38:34,520 --> 00:38:36,800
Speaker 1: wanted people to win, but only one person out of

702
00:38:36,840 --> 00:38:39,400
Speaker 1: the three would win. But it would just be, yeah,

703
00:38:39,480 --> 00:38:43,560
Speaker 1: my name's Michelle, and I have to to debt. Hi,

704
00:38:43,719 --> 00:38:47,320
Speaker 1: my name is Robert. I have student debt, and you

705
00:38:47,360 --> 00:38:49,840
Speaker 1: would just hope, well, I hope Robert wins man, because

706
00:38:52,280 --> 00:38:55,080
Speaker 1: go Robert, you know what I mean. But yeah, but

707
00:38:55,200 --> 00:38:59,480
Speaker 1: it was just watching that stuff. I don't I feel

708
00:38:59,520 --> 00:39:02,400
Speaker 1: like we we've gotten into this part of the conversation

709
00:39:02,480 --> 00:39:05,759
Speaker 1: where it's it turns into and where I see the

710
00:39:05,800 --> 00:39:11,439
Speaker 1: conversation going often is man, you know, what about personal responsibility?

711
00:39:11,440 --> 00:39:14,600
Speaker 1: What about personal accountability? It's just, man, what about being

712
00:39:14,760 --> 00:39:17,840
Speaker 1: trapped in a system and lied in a lied to

713
00:39:17,960 --> 00:39:20,160
Speaker 1: in a system and being given no other choice? What

714
00:39:20,239 --> 00:39:23,560
Speaker 1: about that? And you know, if you I see people saying, yo,

715
00:39:23,760 --> 00:39:25,439
Speaker 1: I mean, you know this is my personal opinion, man,

716
00:39:25,440 --> 00:39:28,040
Speaker 1: But you know, if I have my student loans paid off,

717
00:39:28,239 --> 00:39:32,040
Speaker 1: and then and then they cancel student debt. I'm not

718
00:39:32,080 --> 00:39:36,120
Speaker 1: gonna be mad. It's just good. I'm glad. I'm glad

719
00:39:36,120 --> 00:39:37,920
Speaker 1: that I was able to when the people who couldn't

720
00:39:38,360 --> 00:39:41,480
Speaker 1: can do it. The kind of person gets mad about that,

721
00:39:41,480 --> 00:39:45,120
Speaker 1: that's such an odd thing to get angry over. But well,

722
00:39:45,280 --> 00:39:48,640
Speaker 1: because I think, you know, being humane is like a

723
00:39:48,719 --> 00:39:52,520
Speaker 1: zero sum game to Americans. You know that there's not

724
00:39:52,640 --> 00:39:55,880
Speaker 1: like in abundance of understanding human beings could tap into.

725
00:39:56,239 --> 00:39:57,920
Speaker 1: So it's like, well, then if we start doing that

726
00:39:58,040 --> 00:40:00,239
Speaker 1: and there's nothing for me when I'm it's like, what

727
00:40:00,280 --> 00:40:03,000
Speaker 1: the funk are we talking about? Like the focus of

728
00:40:03,640 --> 00:40:06,520
Speaker 1: most people's lives should be, well, how can I like,

729
00:40:06,560 --> 00:40:09,400
Speaker 1: how can I make life easier for myself for other people?

730
00:40:09,800 --> 00:40:12,319
Speaker 1: And you know, if if why should I get in

731
00:40:12,320 --> 00:40:15,439
Speaker 1: the way of somebody, you know, like somebody's life getting

732
00:40:15,440 --> 00:40:18,400
Speaker 1: eas especially it doesn't impact me negatively. And just because

733
00:40:18,440 --> 00:40:22,000
Speaker 1: I was like on this timeline before, this person isn't

734
00:40:22,000 --> 00:40:24,160
Speaker 1: necessarily what's going to make me insense. It's like you

735
00:40:24,200 --> 00:40:26,640
Speaker 1: would look back and say, wow, that's I'm so glad

736
00:40:26,680 --> 00:40:28,600
Speaker 1: the future doesn't have to endure that because this ship

737
00:40:28,760 --> 00:40:30,960
Speaker 1: is fucked up. Yeah. I mean it's like it's like

738
00:40:31,040 --> 00:40:34,719
Speaker 1: driving home with you know, thingful the groceries in your

739
00:40:34,760 --> 00:40:37,680
Speaker 1: in your Cadillac, and you drive by a soup kitchen

740
00:40:38,160 --> 00:40:40,279
Speaker 1: and you just get mad. There's a soup kitchen. Just bro,

741
00:40:40,360 --> 00:40:42,839
Speaker 1: you don't need the soup kitchen. Right, It's all right,

742
00:40:44,440 --> 00:40:47,560
Speaker 1: you got soup in your car. Right, Why do they

743
00:40:47,600 --> 00:40:50,799
Speaker 1: get soup? It's just bro, because they need soup. Let

744
00:40:50,840 --> 00:40:54,240
Speaker 1: them have some SUP. It's cool. It's not you need soup.

745
00:40:55,320 --> 00:40:58,960
Speaker 1: What's your problem? If you need sup, pull out. But

746
00:40:59,000 --> 00:41:02,080
Speaker 1: if you don't keep driving, bro, you're fine. The fucking movement,

747
00:41:02,160 --> 00:41:04,480
Speaker 1: I think in that rip up that applies to fucking

748
00:41:04,560 --> 00:41:07,239
Speaker 1: every single issue most people have where they're like, I

749
00:41:07,280 --> 00:41:10,320
Speaker 1: can't believe that they're gonna let uh, they're gonna teach

750
00:41:10,360 --> 00:41:12,760
Speaker 1: some kids whatever the funk they think is going to happen.

751
00:41:13,400 --> 00:41:15,480
Speaker 1: And you think that, like I get that in their

752
00:41:15,520 --> 00:41:19,120
Speaker 1: mind they think it's a direct line to the degradation

753
00:41:19,239 --> 00:41:22,319
Speaker 1: of Western civilization or whatever. But it but it's not

754
00:41:22,400 --> 00:41:24,600
Speaker 1: affecting you. This These aren't the things that affect you,

755
00:41:24,680 --> 00:41:28,000
Speaker 1: and they've and so often people get so focused on

756
00:41:28,040 --> 00:41:31,200
Speaker 1: the wrong things that are like actually not affecting them

757
00:41:31,239 --> 00:41:33,239
Speaker 1: at the expense of bringing attention to the ship that

758
00:41:33,320 --> 00:41:37,040
Speaker 1: is affecting them right right, And it's just like our

759
00:41:37,080 --> 00:41:42,759
Speaker 1: system is broken by inequality, and like anything that is

760
00:41:42,800 --> 00:41:47,319
Speaker 1: going to like get rid of that, and like, you know,

761
00:41:47,520 --> 00:41:50,680
Speaker 1: the fact that you are rooting for the money of

762
00:41:50,800 --> 00:41:54,160
Speaker 1: people who are in debt to go to like money

763
00:41:54,360 --> 00:41:58,920
Speaker 1: lending like banks, Like what the I don't know. It

764
00:41:59,040 --> 00:42:01,400
Speaker 1: just it seems people need to start taking more of

765
00:42:01,440 --> 00:42:04,719
Speaker 1: a holistic view to the system because the systems in

766
00:42:04,840 --> 00:42:07,200
Speaker 1: really fucking bad shape right now. And but and I

767
00:42:07,200 --> 00:42:09,000
Speaker 1: think this is the this is the part that they

768
00:42:09,000 --> 00:42:11,600
Speaker 1: have to figure out, right, is I get that the

769
00:42:11,640 --> 00:42:15,200
Speaker 1: optics of forgiving student debt would too many people just

770
00:42:15,239 --> 00:42:17,360
Speaker 1: seem like, well, I didn't vote to college, so I

771
00:42:17,360 --> 00:42:20,160
Speaker 1: don't fucking benefit from that. What the fuck do I

772
00:42:20,280 --> 00:42:23,080
Speaker 1: have to look forward to? And I think that's why

773
00:42:23,560 --> 00:42:26,360
Speaker 1: everything that was being you know, dangled in front of

774
00:42:26,440 --> 00:42:30,160
Speaker 1: voters for the presidential election gave people a thinking like, Okay,

775
00:42:30,160 --> 00:42:31,640
Speaker 1: well maybe I didn't go to college, but oh look,

776
00:42:31,680 --> 00:42:34,799
Speaker 1: there's gonna be some child tax credits. They'll be some

777
00:42:35,160 --> 00:42:38,640
Speaker 1: you know, free pre K, some childcare. I benefit from that.

778
00:42:38,840 --> 00:42:41,520
Speaker 1: There was something for everybody to not look at well,

779
00:42:41,520 --> 00:42:44,360
Speaker 1: this only benefits this group. And I think when you

780
00:42:44,400 --> 00:42:47,640
Speaker 1: don't have a real policy to tackle inequality that will

781
00:42:47,719 --> 00:42:51,479
Speaker 1: really benefit like, you know, a plurality of people. Yeah,

782
00:42:51,520 --> 00:42:53,879
Speaker 1: you can get stuck in these little moments you're like, well,

783
00:42:53,920 --> 00:42:58,040
Speaker 1: we're only selectively addressing inequality rather than really saying this

784
00:42:58,080 --> 00:42:59,839
Speaker 1: is a this is an issue we're trying to do.

785
00:43:00,280 --> 00:43:02,560
Speaker 1: We're trying to work every lover we can to make

786
00:43:02,640 --> 00:43:05,719
Speaker 1: life easier, rather than getting me like, Okay, let's get

787
00:43:05,760 --> 00:43:08,719
Speaker 1: hung up on this issue until it's really beneficial for

788
00:43:08,800 --> 00:43:11,520
Speaker 1: us politically, right before a mid term to then say,

789
00:43:11,680 --> 00:43:14,520
Speaker 1: all right, forgiving, get out there and vote. Or here's

790
00:43:14,560 --> 00:43:17,719
Speaker 1: some weed legalization or whatever they have in their backpocket,

791
00:43:17,800 --> 00:43:20,239
Speaker 1: which we constantly think, we're always being like okay, when

792
00:43:20,880 --> 00:43:22,879
Speaker 1: when's the scandal gonna come where they are like, okay,

793
00:43:22,920 --> 00:43:27,240
Speaker 1: here's a smoke bomb for y'all, now look at that. Alright,

794
00:43:27,320 --> 00:43:30,200
Speaker 1: let's take another quick break and we'll come back and

795
00:43:30,200 --> 00:43:47,319
Speaker 1: talk Tucker. We're talking Tucker, and we're back. And yeah,

796
00:43:47,320 --> 00:43:51,120
Speaker 1: so Tucker Carlson, I don't know. I was shocked by,

797
00:43:51,520 --> 00:43:55,160
Speaker 1: like I only watch clips of his show when I

798
00:43:55,239 --> 00:43:59,680
Speaker 1: absolutely have to, and there was some context where I

799
00:43:59,719 --> 00:44:04,839
Speaker 1: saw his defense of Putin where he was like, has

800
00:44:04,840 --> 00:44:09,360
Speaker 1: Putin never called me racist? Has does Putin eat dogs?

801
00:44:09,840 --> 00:44:13,759
Speaker 1: Was literally what he followed that up with. And then yeah,

802
00:44:13,880 --> 00:44:17,240
Speaker 1: just like straight up getting mad that someone called him racist,

803
00:44:17,800 --> 00:44:20,399
Speaker 1: well in the same breath saying the most racist shit ever.

804
00:44:20,960 --> 00:44:24,800
Speaker 1: But he is caping hard, like he just he really

805
00:44:25,120 --> 00:44:29,160
Speaker 1: likes Putin and wants wants the world to know. Yeah,

806
00:44:29,239 --> 00:44:32,359
Speaker 1: I mean, you know, it made sense kind of back then,

807
00:44:32,560 --> 00:44:35,839
Speaker 1: you know, a trumpet office and everything about the conservative

808
00:44:35,880 --> 00:44:39,320
Speaker 1: media was like trying to normalize Putin. But we're in

809
00:44:39,320 --> 00:44:42,720
Speaker 1: a very different situation now, and you know, not everyone

810
00:44:42,760 --> 00:44:45,400
Speaker 1: on Fox or even the right wing media's fair is

811
00:44:45,440 --> 00:44:47,920
Speaker 1: really even parroting this take anymore. Like, in fact, the

812
00:44:47,960 --> 00:44:51,080
Speaker 1: ones that do are typically shouted down, Like you know,

813
00:44:51,160 --> 00:44:53,759
Speaker 1: Madison Cawthorne was like, I mean, Zolensky is a thug,

814
00:44:53,960 --> 00:44:56,520
Speaker 1: and like the leadership was like, yo, shut the funk up,

815
00:44:56,600 --> 00:44:59,600
Speaker 1: and I'm Kevin McCarthy, I'm I'm a fucking ghoul, and

816
00:44:59,640 --> 00:45:02,360
Speaker 1: I'm we can't be talking like that, even if we

817
00:45:02,440 --> 00:45:04,520
Speaker 1: do believe it. Low key, we just were smart enough

818
00:45:04,520 --> 00:45:09,840
Speaker 1: to understand how the media works. But Newsmax. However, Fucking

819
00:45:09,920 --> 00:45:13,760
Speaker 1: Newsmax seems to really, you know, kind of be grossed

820
00:45:13,760 --> 00:45:17,160
Speaker 1: out by Tucker's Kremlin crooning that he's been engaging, and

821
00:45:17,440 --> 00:45:21,160
Speaker 1: in particular, one of their anchors, Eric Bowling, had like

822
00:45:21,400 --> 00:45:24,400
Speaker 1: things to say just straight to Tucker during his show,

823
00:45:24,960 --> 00:45:28,360
Speaker 1: and he had recently finished an interview with Vladimir Klitchko,

824
00:45:28,680 --> 00:45:31,880
Speaker 1: whose brother Vitali Klitchko, is the mayor of Kiev. And

825
00:45:31,920 --> 00:45:34,799
Speaker 1: also you probably remember the Klitchko bro Yeah, the boxers,

826
00:45:35,400 --> 00:45:37,440
Speaker 1: those guys, one of them is now the mayor of

827
00:45:37,520 --> 00:45:40,880
Speaker 1: Keiv if you didn't know. But after google the picture

828
00:45:40,920 --> 00:45:47,080
Speaker 1: of them next to Sylvester Stallone's yah, he comes up

829
00:45:47,120 --> 00:45:53,120
Speaker 1: to their hip like they are the they broke heavyweight

830
00:45:53,120 --> 00:45:56,960
Speaker 1: boxing by just being so much bigger than everybody them

831
00:45:56,960 --> 00:45:59,440
Speaker 1: and Lenox Lewis was crazy and like and they're like

832
00:45:59,560 --> 00:46:03,680
Speaker 1: super intelligent too, like you're just anyway, they're like superhuman.

833
00:46:03,760 --> 00:46:07,359
Speaker 1: So after this interview, Vladimir came onto Eric Bowling show

834
00:46:07,400 --> 00:46:10,239
Speaker 1: on Newsmax and was essentially just getting him up to

835
00:46:10,239 --> 00:46:12,719
Speaker 1: speed on all the horrors that have been committed by

836
00:46:12,719 --> 00:46:15,560
Speaker 1: the Russians, the killings of civilians, what had happened in

837
00:46:15,600 --> 00:46:20,000
Speaker 1: places like Bucha, and Bowling was affected by this, you know,

838
00:46:20,040 --> 00:46:23,200
Speaker 1: interview and apparently just decided He's like, you know what,

839
00:46:23,239 --> 00:46:26,080
Speaker 1: I gotta talk. I gotta address Tucker Carlson like after

840
00:46:26,120 --> 00:46:28,919
Speaker 1: this basically saying, hey, knock it off with this ship.

841
00:46:29,080 --> 00:46:33,880
Speaker 1: So here is fucking Eric Bowling of Newsmax just trying

842
00:46:33,920 --> 00:46:37,239
Speaker 1: to reason with Tucker Carlson. The week's past, I could

843
00:46:37,320 --> 00:46:39,720
Speaker 1: see why it was best to not even address Russia's

844
00:46:39,719 --> 00:46:43,480
Speaker 1: blatant propaganda. But now, after what we're seeing in Bucha,

845
00:46:44,000 --> 00:46:47,239
Speaker 1: things are different. Everything is different. Now this is a

846
00:46:47,280 --> 00:46:50,720
Speaker 1: turning point in history. Now. I'm not here to slam Tucker.

847
00:46:50,800 --> 00:46:53,560
Speaker 1: I have the utmost respect for him. But Tucker, you

848
00:46:53,680 --> 00:46:56,480
Speaker 1: don't want to be associated with this. Certainly don't want

849
00:46:56,520 --> 00:46:58,960
Speaker 1: to be it to be part of your legacy, to

850
00:46:59,000 --> 00:47:02,440
Speaker 1: be associated with a war criminal and evil madman committing

851
00:47:02,480 --> 00:47:06,720
Speaker 1: blatant genocide and atrocities just across the ocean. You don't

852
00:47:06,800 --> 00:47:09,880
Speaker 1: want to be associated with that in any way. The

853
00:47:10,000 --> 00:47:12,640
Speaker 1: video is heartbreaking, Tucker. You're even seeing these images that

854
00:47:12,680 --> 00:47:16,759
Speaker 1: I'm saying, it's it's unbelievable. And after talking to Ukrainians

855
00:47:16,760 --> 00:47:18,879
Speaker 1: like Vladimir Klitchko, we did right here on the show,

856
00:47:19,239 --> 00:47:21,279
Speaker 1: so he kind of goes on, this is sort of

857
00:47:21,360 --> 00:47:25,280
Speaker 1: like this is the same it please Ducker Carlson. Now,

858
00:47:25,800 --> 00:47:29,520
Speaker 1: this is odd coming from news Max, who is all

859
00:47:29,760 --> 00:47:33,520
Speaker 1: was all in on every single right wing nonsense talking point,

860
00:47:33,560 --> 00:47:37,520
Speaker 1: whether it was iver mecton or hydroxychlora cut or whatever

861
00:47:37,560 --> 00:47:40,840
Speaker 1: the funk and stopped the steal. They were really fanning

862
00:47:40,840 --> 00:47:43,880
Speaker 1: the flames along with O and like none other, but

863
00:47:44,080 --> 00:47:47,759
Speaker 1: they somehow found their line with war crimes. And it's

864
00:47:47,800 --> 00:47:50,680
Speaker 1: just interesting to see, like, I like that they feud

865
00:47:50,719 --> 00:47:52,480
Speaker 1: in this other way, but it's usually about who can

866
00:47:52,480 --> 00:47:56,320
Speaker 1: outmaga the other network, and in this one, this I

867
00:47:56,360 --> 00:47:59,480
Speaker 1: guess this news Max just right tried the high road.

868
00:47:59,760 --> 00:48:03,440
Speaker 1: But it's yeah, just a very interesting scenario. We're watching

869
00:48:03,480 --> 00:48:06,080
Speaker 1: these two come at each other in this specific way.

870
00:48:06,400 --> 00:48:09,440
Speaker 1: It's wild to see somebody who looks like a like

871
00:48:09,520 --> 00:48:12,720
Speaker 1: that should have been who hosted the Running Man game

872
00:48:13,120 --> 00:48:16,480
Speaker 1: in that eighties movie, like that just like a perfect

873
00:48:16,640 --> 00:48:21,120
Speaker 1: like orange Spray Tan, but like having him just be

874
00:48:21,360 --> 00:48:27,360
Speaker 1: like speaking speaking truth about the way he said it

875
00:48:27,440 --> 00:48:29,000
Speaker 1: right where he was like, Hey, I was working with

876
00:48:29,000 --> 00:48:34,480
Speaker 1: Putin too until I saw the war crimes. Things are

877
00:48:34,480 --> 00:48:36,840
Speaker 1: different now or maybe he's trying to give him a

878
00:48:36,840 --> 00:48:39,160
Speaker 1: way out saying because he does say, look, I know

879
00:48:39,239 --> 00:48:41,239
Speaker 1: you were saying all that ship about who cares about

880
00:48:41,320 --> 00:48:45,000
Speaker 1: Ukraine with your like America first goggles on and he's like, look,

881
00:48:45,040 --> 00:48:47,920
Speaker 1: I'm magic two. Like, I get that. But there's a

882
00:48:47,960 --> 00:48:51,680
Speaker 1: difference here, and that is sort of Yeah, the nuance

883
00:48:51,760 --> 00:48:54,360
Speaker 1: that is being sort of brought to light by news

884
00:48:54,400 --> 00:48:57,920
Speaker 1: Max is is jarring, to say the least. I was.

885
00:48:58,440 --> 00:49:02,880
Speaker 1: I remember seeing being declared, hearing the clip of Tucker's saying,

886
00:49:03,560 --> 00:49:06,080
Speaker 1: did he call me racist? And it's just where where

887
00:49:06,120 --> 00:49:10,239
Speaker 1: did this come from? Is that? Yeah? Why? Why? Well?

888
00:49:10,320 --> 00:49:17,359
Speaker 1: Because that is that is worse. Being called racist is

889
00:49:17,440 --> 00:49:21,640
Speaker 1: worse than anything racism can do in their opinion, like

890
00:49:21,719 --> 00:49:25,000
Speaker 1: they they treat that like the ultimate hate crime is

891
00:49:25,080 --> 00:49:30,040
Speaker 1: somebody calling them racist. And so the logic being that

892
00:49:30,360 --> 00:49:33,920
Speaker 1: the real enemy calls me racist, which is the left

893
00:49:34,640 --> 00:49:37,960
Speaker 1: and people who want progress, that's the real enemy. People

894
00:49:38,000 --> 00:49:40,759
Speaker 1: like Vladimir Putin. We're on the same page with a

895
00:49:40,840 --> 00:49:43,320
Speaker 1: lot of stuff. So I don't understand why I'm meant

896
00:49:43,360 --> 00:49:45,960
Speaker 1: to hate this person when I'm over here having to

897
00:49:46,000 --> 00:49:49,400
Speaker 1: shield myself from attacks from people who accurately describe my

898
00:49:49,480 --> 00:49:54,239
Speaker 1: show as filled with xenophobia and hatred. Yeah, yeah, it

899
00:49:54,800 --> 00:49:59,000
Speaker 1: was just it. It gave me this is perhabs the

900
00:49:59,160 --> 00:50:03,000
Speaker 1: terrible comparison. But when when he said that, my mind

901
00:50:03,040 --> 00:50:08,360
Speaker 1: immediately went to Muhammad Ali with you know, no Venomese

902
00:50:08,360 --> 00:50:10,319
Speaker 1: ever called me nigger, And it was just because you know,

903
00:50:10,360 --> 00:50:12,080
Speaker 1: for a lot of people, yo, this really is the

904
00:50:12,280 --> 00:50:15,200
Speaker 1: R word is the worst thing you can call them.

905
00:50:15,239 --> 00:50:17,840
Speaker 1: And you know, so that was what Mohammed Ali was

906
00:50:17,840 --> 00:50:21,600
Speaker 1: trying to impress on people, saying, listen, you all are

907
00:50:22,360 --> 00:50:26,239
Speaker 1: brutalizing me here. Why would I go somewhere else to

908
00:50:26,320 --> 00:50:30,040
Speaker 1: brutalize people? Right now? I would say that, you know,

909
00:50:30,080 --> 00:50:32,200
Speaker 1: and I think that was actually something that a lot

910
00:50:32,280 --> 00:50:34,200
Speaker 1: of people needed to hear, whether they wanted to hear

911
00:50:34,239 --> 00:50:36,560
Speaker 1: it or not. Now I say, of course, you know,

912
00:50:37,440 --> 00:50:41,440
Speaker 1: just you know, analysis is is quite a bit less sophisticated,

913
00:50:41,920 --> 00:50:46,800
Speaker 1: but it was just what this is when you're thinking

914
00:50:46,800 --> 00:50:49,680
Speaker 1: of things that people could do to you, things that

915
00:50:49,800 --> 00:50:51,719
Speaker 1: awful things that people could do to you, you know,

916
00:50:51,800 --> 00:50:55,319
Speaker 1: forget about how one governs. It's okay, what would make

917
00:50:55,320 --> 00:50:57,399
Speaker 1: me not like this person? Well he if he called

918
00:50:57,440 --> 00:51:00,640
Speaker 1: me the R word, that would upset me? Just yo,

919
00:51:01,120 --> 00:51:04,320
Speaker 1: what when an't we on? I mean? And also I'm like, wow,

920
00:51:04,360 --> 00:51:07,680
Speaker 1: so the stakes are so low for you that that's

921
00:51:07,680 --> 00:51:10,560
Speaker 1: the biggest threat on your list is someone who's saying

922
00:51:10,680 --> 00:51:13,719
Speaker 1: or just just calling you something. Because if you ask

923
00:51:13,760 --> 00:51:16,399
Speaker 1: a trans person or you ask a person of color,

924
00:51:16,440 --> 00:51:18,960
Speaker 1: what kind of existential threats they face two probably a

925
00:51:18,960 --> 00:51:21,600
Speaker 1: lot worse on top of name calling that they have

926
00:51:21,719 --> 00:51:26,360
Speaker 1: to face to try and just navigate this country. Yes, precisely,

927
00:51:26,400 --> 00:51:28,320
Speaker 1: yet and if yeah, it's almost like you need to

928
00:51:28,360 --> 00:51:30,879
Speaker 1: actually take stock of that. Sounds like not much can

929
00:51:30,880 --> 00:51:32,880
Speaker 1: get to you. Really, that sounds like a pretty good

930
00:51:32,920 --> 00:51:35,560
Speaker 1: place to be where if nothing can funk with you

931
00:51:36,480 --> 00:51:39,040
Speaker 1: that you have to make up a fucking raise the

932
00:51:39,080 --> 00:51:42,880
Speaker 1: specter of someone saying you're racist to fucking freak you

933
00:51:42,920 --> 00:51:45,640
Speaker 1: out that you really don't have ship going on that

934
00:51:45,800 --> 00:51:47,440
Speaker 1: is actually a threat to you. But you have to

935
00:51:47,480 --> 00:51:50,279
Speaker 1: make this ship up because that's what you know, if

936
00:51:50,360 --> 00:51:55,080
Speaker 1: your insistence on like white hegemon, he does to your brain. Yeah,

937
00:51:55,080 --> 00:51:58,120
Speaker 1: I I just find I find the absolute you know,

938
00:51:58,200 --> 00:52:00,920
Speaker 1: I'm going to stay away from the you know, the

939
00:52:01,400 --> 00:52:04,360
Speaker 1: snowflake language type stuff here, but you know, the absolute

940
00:52:04,400 --> 00:52:06,560
Speaker 1: fragility that you've see in a lot of people where

941
00:52:06,600 --> 00:52:09,400
Speaker 1: you know, if you call them homophobic, they lose their mind.

942
00:52:09,880 --> 00:52:13,399
Speaker 1: You call them racists, they lose their mind. And it's yo.

943
00:52:13,719 --> 00:52:16,719
Speaker 1: It's if somebody calls you that, I mean, chill. Maybe

944
00:52:16,760 --> 00:52:19,480
Speaker 1: they got a point, maybe they don't, who knows, but

945
00:52:19,560 --> 00:52:24,440
Speaker 1: you're probably going to be okay, You're probably right right

946
00:52:24,520 --> 00:52:27,920
Speaker 1: to learning opportunity. Yeah, compared to as you were saying, well,

947
00:52:27,960 --> 00:52:30,480
Speaker 1: I was like, you know, call me a name, call

948
00:52:30,520 --> 00:52:32,040
Speaker 1: a lot of other people a name all day. There

949
00:52:32,080 --> 00:52:36,759
Speaker 1: are other things that are more pressing concerns like physical safety,

950
00:52:36,880 --> 00:52:38,959
Speaker 1: can you get a job? You know, all these other things,

951
00:52:38,960 --> 00:52:40,359
Speaker 1: you know what I mean. It's it's it's wile that

952
00:52:40,360 --> 00:52:44,360
Speaker 1: that turns into, you know, the way in which somebody

953
00:52:44,440 --> 00:52:47,719
Speaker 1: judges whether somebody's a bad person or not is yeah,

954
00:52:47,880 --> 00:52:50,560
Speaker 1: And I think speaks to the lengths people will go

955
00:52:50,719 --> 00:52:53,239
Speaker 1: to not confront those kinds of biases they have, right,

956
00:52:53,320 --> 00:52:56,239
Speaker 1: Because if my response to hearing something like that is

957
00:52:56,280 --> 00:52:59,440
Speaker 1: to just get super defensive, then I'm already framing it

958
00:52:59,520 --> 00:53:01,640
Speaker 1: is like this such an absurd thing to say to

959
00:53:01,719 --> 00:53:03,839
Speaker 1: me that I don't even have to entertain if there's

960
00:53:03,840 --> 00:53:05,960
Speaker 1: anything in there that I could work with. It's like

961
00:53:05,960 --> 00:53:08,960
Speaker 1: when I was, you know, in my first relationship in college,

962
00:53:08,960 --> 00:53:10,520
Speaker 1: and you know the person I was, Danie. I was like,

963
00:53:10,760 --> 00:53:12,160
Speaker 1: you know, you're kind of messy, and I was like,

964
00:53:12,280 --> 00:53:16,000
Speaker 1: I'm not fucking messy, you know what I mean. But

965
00:53:16,080 --> 00:53:18,560
Speaker 1: I never heard that ship, and I never really wanted

966
00:53:18,560 --> 00:53:21,399
Speaker 1: to confront that ship. So my first response is I'm

967
00:53:21,440 --> 00:53:24,640
Speaker 1: not fucking lying, no messy, funk out of here. I

968
00:53:24,640 --> 00:53:28,920
Speaker 1: am fucking very good. I'm a good boy. But you

969
00:53:29,040 --> 00:53:31,319
Speaker 1: take that ship and you have to get rise to

970
00:53:31,360 --> 00:53:33,440
Speaker 1: a level of a maturity where you can hear something

971
00:53:33,440 --> 00:53:38,040
Speaker 1: and be like interesting, am I Yeah, I am kind

972
00:53:38,040 --> 00:53:40,160
Speaker 1: of interested to see how how that sort of thing

973
00:53:40,239 --> 00:53:44,360
Speaker 1: plays out, because you know the right has in general,

974
00:53:45,320 --> 00:53:48,960
Speaker 1: it'll kind of they'll sort of find they'll find a

975
00:53:49,040 --> 00:53:51,799
Speaker 1: party line, you know what I mean again, the game speak,

976
00:53:51,840 --> 00:53:53,840
Speaker 1: you know, they'll find the meta is just oh this,

977
00:53:53,840 --> 00:53:55,440
Speaker 1: this is this is what messes up the left. This

978
00:53:55,440 --> 00:53:57,239
Speaker 1: is what freaks them out. And you know, for the

979
00:53:57,280 --> 00:53:59,439
Speaker 1: most part, a lot of people will say, okay, well

980
00:54:00,239 --> 00:54:02,120
Speaker 1: you seem to be more focused on this thing. I'm

981
00:54:02,120 --> 00:54:04,360
Speaker 1: more focused on this thing. But we can agree to

982
00:54:04,400 --> 00:54:07,359
Speaker 1: do this. Let's all do this. But splitting like that

983
00:54:07,480 --> 00:54:10,680
Speaker 1: is it seems a little unusual. I don't think we

984
00:54:10,719 --> 00:54:15,040
Speaker 1: see that so often, so you know, it'll it'll be

985
00:54:15,080 --> 00:54:17,920
Speaker 1: interesting to watch. Yeah, I mean the part of me

986
00:54:18,040 --> 00:54:20,320
Speaker 1: just looks at everything that's happening with news Max and

987
00:54:20,360 --> 00:54:23,799
Speaker 1: Fox and like, what's the funk? What's the real game here? Like, yeah,

988
00:54:24,080 --> 00:54:27,120
Speaker 1: it can't be that you suddenly have found your humanity.

989
00:54:27,560 --> 00:54:30,080
Speaker 1: And you're like, because, why are you gonna start to talk?

990
00:54:30,160 --> 00:54:32,360
Speaker 1: Are you gonna start calling out racism one of the networks,

991
00:54:32,360 --> 00:54:35,759
Speaker 1: I don't think so. They're promoting a wrestlemany a like

992
00:54:35,920 --> 00:54:39,920
Speaker 1: event where different anchors from each of the Logan Paul Logan,

993
00:54:39,960 --> 00:54:42,399
Speaker 1: Paul is gonna walk in with Tucker Carols into the ring.

994
00:54:43,080 --> 00:54:46,960
Speaker 1: That's right, Yeah, yeah, it's the only matter of time.

995
00:54:47,040 --> 00:54:48,840
Speaker 1: But yeah, I mean it's as absurd as it sounds.

996
00:54:48,840 --> 00:54:52,080
Speaker 1: Who knows it could all could all happen. Stranger things

997
00:54:52,120 --> 00:54:55,279
Speaker 1: have happened, Stranger things have absolutely happened. We were on

998
00:54:55,320 --> 00:54:58,399
Speaker 1: the timeline where that could happen, and that would be Yeah,

999
00:54:58,480 --> 00:55:00,720
Speaker 1: we're on the timeline where news mat because the shaming

1000
00:55:00,760 --> 00:55:06,200
Speaker 1: Fox for their pro Russian takes, and you're like, Okay,

1001
00:55:06,239 --> 00:55:09,560
Speaker 1: I think this is anything could happened, anything had happened.

1002
00:55:09,560 --> 00:55:13,040
Speaker 1: What a time to be alive. Yeah, my friends there

1003
00:55:13,040 --> 00:55:16,279
Speaker 1: there's like a tweet from some not American who I

1004
00:55:16,320 --> 00:55:19,440
Speaker 1: don't I'm not familiar with, but for whatever reason the

1005
00:55:19,480 --> 00:55:21,640
Speaker 1: timing of this, they were just like, hey, I just

1006
00:55:21,680 --> 00:55:24,520
Speaker 1: got out of America, Like, you guys are really on

1007
00:55:24,560 --> 00:55:29,080
Speaker 1: the brak huh, Like you're you guys are fucked. Like

1008
00:55:29,480 --> 00:55:31,400
Speaker 1: people are like what how do you mean? What do

1009
00:55:31,440 --> 00:55:34,840
Speaker 1: you mean? And they're like, oh, like the just horrible

1010
00:55:34,880 --> 00:55:38,440
Speaker 1: inequality of the rise and like unhoused community, like how

1011
00:55:38,880 --> 00:55:43,520
Speaker 1: quick everyone's trigger is like and I forget what else

1012
00:55:43,560 --> 00:55:46,239
Speaker 1: they listed, but they were just like, it's it's really

1013
00:55:46,280 --> 00:55:50,120
Speaker 1: bad there right now, you're really you're bad. Why don't

1014
00:55:50,120 --> 00:55:56,799
Speaker 1: you go back to fucking Sweden? Okay? Asshole? Okay from yeah,

1015
00:55:56,840 --> 00:55:59,240
Speaker 1: I think so. I think it was like a house

1016
00:55:59,400 --> 00:56:04,719
Speaker 1: music jay or something. Yeah, go back to Sweden, go

1017
00:56:04,800 --> 00:56:06,800
Speaker 1: hang out with young Lane. But it is true. I

1018
00:56:06,840 --> 00:56:08,360
Speaker 1: mean that's why I feel like when you go to

1019
00:56:08,440 --> 00:56:12,799
Speaker 1: other countries where there's like socialized medicine and like their

1020
00:56:12,880 --> 00:56:16,759
Speaker 1: social safety nets, the vibes are so different, and it's

1021
00:56:16,800 --> 00:56:19,880
Speaker 1: like funny how people can just tell like oh wow,

1022
00:56:19,920 --> 00:56:22,600
Speaker 1: like everyone's so like relax heous like, well, first of all,

1023
00:56:22,719 --> 00:56:25,239
Speaker 1: that one of the things that's off their plate is like,

1024
00:56:25,600 --> 00:56:29,880
Speaker 1: I'll die if I don't have a working So that

1025
00:56:30,000 --> 00:56:32,680
Speaker 1: stress is taken. And there are many other existential threats

1026
00:56:32,680 --> 00:56:35,040
Speaker 1: that exist that are maybe unique to another place, but

1027
00:56:35,400 --> 00:56:38,319
Speaker 1: that's sort of like a foundational thing where their governments like, oh, man,

1028
00:56:38,360 --> 00:56:41,120
Speaker 1: you shouldn't go broke because you got sick. No, no, no,

1029
00:56:41,120 --> 00:56:44,879
Speaker 1: we're not doing that. But here it's like, okay, broke boy,

1030
00:56:44,960 --> 00:56:50,080
Speaker 1: what do you want on your tombstone? And it ain't

1031
00:56:50,080 --> 00:56:53,560
Speaker 1: gonna be pepperoni. You twisted your ankle, guess you're gonna

1032
00:56:53,600 --> 00:56:57,200
Speaker 1: die exactly. Oh you go twisted your ankle. Hey, y'all,

1033
00:56:57,239 --> 00:56:59,760
Speaker 1: you can put the candles right here underneath this basketball

1034
00:56:59,800 --> 00:57:02,439
Speaker 1: who for this guy's twisted ankle from a pickup game?

1035
00:57:02,560 --> 00:57:05,000
Speaker 1: Pick up your airbrushed shirts at the end of the night.

1036
00:57:05,200 --> 00:57:11,919
Speaker 1: The go fund meization of Magical Care has been it's

1037
00:57:11,960 --> 00:57:13,920
Speaker 1: I mean, it's been I've been obviously, you know, this

1038
00:57:14,000 --> 00:57:15,360
Speaker 1: is not unique. I've been thinking about this for a

1039
00:57:15,400 --> 00:57:19,160
Speaker 1: long time. But just the fact that people are you know,

1040
00:57:19,560 --> 00:57:22,920
Speaker 1: actually this is something that's recommended to people. It's just oh,

1041
00:57:22,960 --> 00:57:25,480
Speaker 1: if you get sick, start to go fund me. It's

1042
00:57:25,520 --> 00:57:29,120
Speaker 1: just yo, what I mean, I would I would love

1043
00:57:29,160 --> 00:57:33,440
Speaker 1: to see the actual numbers of what yah And I

1044
00:57:33,480 --> 00:57:35,640
Speaker 1: would be surprised if they make these things public because

1045
00:57:35,640 --> 00:57:38,360
Speaker 1: I can't imagine it would look good. But what the

1046
00:57:38,400 --> 00:57:41,920
Speaker 1: actual numbers of go fund me is now, especially you know,

1047
00:57:42,040 --> 00:57:44,640
Speaker 1: pandemic area, because people using go fund me, especially when

1048
00:57:44,640 --> 00:57:46,880
Speaker 1: somebody dies of COVID, you know, the using go fund

1049
00:57:46,880 --> 00:57:49,800
Speaker 1: me for the funeral, You know what I mean. But yeah,

1050
00:57:50,080 --> 00:57:51,800
Speaker 1: go fund You know. It used to be, Hey, I

1051
00:57:51,880 --> 00:57:55,360
Speaker 1: have an idea for a car that turns into a boat,

1052
00:57:55,640 --> 00:57:58,760
Speaker 1: and I need a hundred thousand dollars, so please contribute.

1053
00:57:59,040 --> 00:58:03,840
Speaker 1: And now it's I broke my leg and I can't work,

1054
00:58:04,160 --> 00:58:07,480
Speaker 1: and more like, I'm making this page for my coworker

1055
00:58:07,480 --> 00:58:11,160
Speaker 1: who doesn't speak English to help with their bills because

1056
00:58:11,200 --> 00:58:14,640
Speaker 1: they got injured at at their factory gig and they're

1057
00:58:14,680 --> 00:58:17,320
Speaker 1: not trying to help them because they're being paid under

1058
00:58:17,360 --> 00:58:20,320
Speaker 1: the table and everything's funked up because they were being exploited.

1059
00:58:20,480 --> 00:58:22,320
Speaker 1: The other thing is, too, is like less than twelve

1060
00:58:22,800 --> 00:58:26,560
Speaker 1: of those medical ones reached their goal too. Yeah, so

1061
00:58:26,680 --> 00:58:28,840
Speaker 1: for as much as that you see, like only a

1062
00:58:28,920 --> 00:58:32,120
Speaker 1: fraction of them are you know, reaching the goal where

1063
00:58:32,120 --> 00:58:34,600
Speaker 1: that help is like reaching the people? And again it's

1064
00:58:34,640 --> 00:58:39,320
Speaker 1: just another more you know, the underlining the American motto

1065
00:58:39,360 --> 00:58:42,400
Speaker 1: which is like, hey, welcome to America. Their help is

1066
00:58:42,440 --> 00:58:46,720
Speaker 1: not on the way. Yea, yeah, take care of yourself

1067
00:58:46,720 --> 00:58:52,200
Speaker 1: for your student loans means all that need some stinger missiles? Okay,

1068
00:58:52,200 --> 00:58:54,080
Speaker 1: what else you need some heavy machines? Okay, we got you.

1069
00:58:54,360 --> 00:58:56,880
Speaker 1: Help is on the way. Hell is let me holler

1070
00:58:56,920 --> 00:59:00,160
Speaker 1: at my boy raytheon real quick. They're coming through. Help

1071
00:59:00,280 --> 00:59:03,120
Speaker 1: is on the way. I hope you have that money ready. Well,

1072
00:59:03,160 --> 00:59:06,160
Speaker 1: Dexter has been such a pleasure having you on the show.

1073
00:59:06,200 --> 00:59:10,120
Speaker 1: Where can people find you? Follow you all that good stuff? Yeah? Yeah,

1074
00:59:10,160 --> 00:59:15,120
Speaker 1: and he got a happy note. Yes uh always yeah.

1075
00:59:15,160 --> 00:59:18,320
Speaker 1: All social media dex, DIGGI d e x d I

1076
00:59:18,440 --> 00:59:21,680
Speaker 1: g I what up dex dot com? That one works too,

1077
00:59:21,720 --> 00:59:24,000
Speaker 1: But yeah, man, just everywhere. How do you're doing it?

1078
00:59:24,240 --> 00:59:26,680
Speaker 1: And is there a tweet or some of the work

1079
00:59:26,760 --> 00:59:31,240
Speaker 1: of social media you've been enjoying a tweet or social media? Man,

1080
00:59:32,000 --> 00:59:35,200
Speaker 1: I've been staying away, oh tweets. I try to stay

1081
00:59:35,200 --> 00:59:38,520
Speaker 1: off with Twitter, man, um my, I basically just get

1082
00:59:38,560 --> 00:59:41,920
Speaker 1: on Twitter to tweet get off the internet. Highly encouraged

1083
00:59:41,920 --> 00:59:44,280
Speaker 1: people to seriously that. I think that's the last tweet

1084
00:59:44,280 --> 00:59:46,320
Speaker 1: I made was just get off the Internet. But um,

1085
00:59:46,360 --> 00:59:51,439
Speaker 1: I've been enjoying There is a guy who posts he's

1086
00:59:51,480 --> 00:59:54,920
Speaker 1: I think he's a voice actor, and he's been posting

1087
00:59:55,200 --> 00:59:59,600
Speaker 1: himself as Colombo, just interacting with people that Columbo would

1088
00:59:59,640 --> 01:00:04,840
Speaker 1: never meek too, like light in Death Note and so

1089
01:00:06,840 --> 01:00:09,280
Speaker 1: so it's it's just forget if you if you searched

1090
01:00:09,320 --> 01:00:12,800
Speaker 1: Colombo and Death Note, you will find it. But yeah, man,

1091
01:00:12,920 --> 01:00:17,160
Speaker 1: just people, people, people. There's there's a lot of voice

1092
01:00:17,200 --> 01:00:20,959
Speaker 1: actors who were just acting like these characters who would

1093
01:00:20,960 --> 01:00:23,160
Speaker 1: never think of and they're just remixing it with people

1094
01:00:23,200 --> 01:00:25,320
Speaker 1: who should not they should not be remixed with. But

1095
01:00:25,320 --> 01:00:29,920
Speaker 1: it's it's pretty good, highly recommended. Nice being too death

1096
01:00:30,000 --> 01:00:38,720
Speaker 1: she calls real scary stuff. And I've never actually watched Colombo,

1097
01:00:38,760 --> 01:00:40,960
Speaker 1: but that actually made me want to watch Colombo now.

1098
01:00:41,000 --> 01:00:44,680
Speaker 1: So I've been watching just recaps of Colombo episodes and

1099
01:00:44,760 --> 01:00:47,240
Speaker 1: laughing the whole time because I'm imagining him talking to

1100
01:00:48,040 --> 01:00:51,560
Speaker 1: you know, like I have a cursory understanding of Death Note.

1101
01:00:51,800 --> 01:00:57,040
Speaker 1: Watched a lot of Colombo. I watched neither my Grandma

1102
01:00:57,080 --> 01:01:00,360
Speaker 1: loved that ship because I think she always liked She

1103
01:01:00,520 --> 01:01:02,760
Speaker 1: just likes the vibe of like this motherfucker thing he's

1104
01:01:02,760 --> 01:01:06,120
Speaker 1: gonna get away, and because he always likes to switch

1105
01:01:06,160 --> 01:01:09,000
Speaker 1: it up one more thing, like just that wash he

1106
01:01:09,040 --> 01:01:13,240
Speaker 1: goes Coombo, you have a fucking ropat desat So we

1107
01:01:13,440 --> 01:01:18,240
Speaker 1: were weird. We were cheering off from that side. Miles,

1108
01:01:18,240 --> 01:01:20,280
Speaker 1: where can people find you? What the tweet you've been enjoying?

1109
01:01:20,320 --> 01:01:23,240
Speaker 1: Find me on Twitter and Instagram at Miles of Gray.

1110
01:01:23,880 --> 01:01:26,680
Speaker 1: Also the other show, Look you like the NBA, check

1111
01:01:26,680 --> 01:01:29,720
Speaker 1: out Jack and I's NBA podcast Miles and Jack Got

1112
01:01:29,720 --> 01:01:33,120
Speaker 1: Mad boost Ease where we just have fun conversation celebrating

1113
01:01:33,120 --> 01:01:36,880
Speaker 1: the NBA. And also, if you like you know fiance,

1114
01:01:37,040 --> 01:01:39,360
Speaker 1: check out Mother Show for twenty Day Fiance. You know

1115
01:01:39,440 --> 01:01:43,280
Speaker 1: what's happening over there? Uh some tweets that I like.

1116
01:01:44,400 --> 01:01:48,959
Speaker 1: The first one is from Ali Segel Passcast Alice Egel

1117
01:01:49,000 --> 01:01:51,880
Speaker 1: at Online. Allison tweeted, going on my first vacation with boyfriend.

1118
01:01:51,920 --> 01:01:54,160
Speaker 1: Does anyone have any tips slash tricks for holding in

1119
01:01:54,200 --> 01:01:58,240
Speaker 1: your ship for eight days? Which you know, I say,

1120
01:01:58,360 --> 01:02:00,960
Speaker 1: just let it go. Let it go, because that's how

1121
01:02:01,000 --> 01:02:03,800
Speaker 1: you'll know you're with somebody who's you know, who can

1122
01:02:03,960 --> 01:02:07,800
Speaker 1: understand your humanity. Another one is from at very Calm Chowder.

1123
01:02:07,880 --> 01:02:10,360
Speaker 1: It's a picture of this like dude just standing out

1124
01:02:10,360 --> 01:02:12,840
Speaker 1: on a railing looking off and the and the caption

1125
01:02:12,880 --> 01:02:15,280
Speaker 1: on this picture the guy, the guy's pictures and it's

1126
01:02:15,280 --> 01:02:17,520
Speaker 1: important than the capture, which he says, I bring a

1127
01:02:17,600 --> 01:02:21,000
Speaker 1: sort of we should all quit vibe to the workplace

1128
01:02:21,080 --> 01:02:25,760
Speaker 1: that managers don't really like. Um. And the last one

1129
01:02:25,840 --> 01:02:28,200
Speaker 1: is from ad amilia Ellis all Day. Adamilia Elis all

1130
01:02:28,280 --> 01:02:30,400
Speaker 1: Day tweeted the vibe and small airports, it's like if

1131
01:02:30,400 --> 01:02:34,720
Speaker 1: they made your divorced dad's apartment of business that oh ship.

1132
01:02:35,120 --> 01:02:38,000
Speaker 1: That's how I feel about the Eugene Airport. The Eugene

1133
01:02:38,040 --> 01:02:39,919
Speaker 1: Airport is kind of like that, you know what I mean.

1134
01:02:39,960 --> 01:02:43,440
Speaker 1: Like Eugene Airport and I like it. Look, I love Eugene,

1135
01:02:43,440 --> 01:02:45,960
Speaker 1: but the airport to me feels like that thing where

1136
01:02:45,960 --> 01:02:48,680
Speaker 1: it's like, oh, are there people here? And then you're like, oh,

1137
01:02:48,720 --> 01:02:53,240
Speaker 1: yeah over there, Okay, okay, well it's fine, it's fine. Um. Well,

1138
01:02:53,280 --> 01:02:56,360
Speaker 1: you can find me on Twitter at Jack Underscore O'Brien.

1139
01:02:57,320 --> 01:02:59,600
Speaker 1: You can find us on Twitter at daily Ze Guys

1140
01:02:59,600 --> 01:03:02,280
Speaker 1: where the daily Ze Guys on Instagram, We have Facebook

1141
01:03:02,320 --> 01:03:05,480
Speaker 1: fan page and a website Daily see guys dot com,

1142
01:03:05,520 --> 01:03:08,880
Speaker 1: where we post our episodes on our foot notes where

1143
01:03:08,880 --> 01:03:10,720
Speaker 1: we link off to the information that we talked about

1144
01:03:10,720 --> 01:03:14,640
Speaker 1: in today's episode, as well as a song that we

1145
01:03:14,680 --> 01:03:17,360
Speaker 1: think you might enjoy. Also, just a shoutou was Josh

1146
01:03:17,440 --> 01:03:21,760
Speaker 1: Fabus who tweeted the thing I referenced. I say this

1147
01:03:21,880 --> 01:03:24,000
Speaker 1: with a huge amount of love and respect because I

1148
01:03:24,080 --> 01:03:26,680
Speaker 1: enjoy visiting here, but the USA feels on the brink

1149
01:03:26,680 --> 01:03:33,240
Speaker 1: of total financial and social collapse. Likes. So yeah, but Miles,

1150
01:03:33,280 --> 01:03:36,360
Speaker 1: what's the song that we think people might enjoy? What

1151
01:03:36,560 --> 01:03:39,400
Speaker 1: is that? What does that person know? Just probably merely

1152
01:03:39,440 --> 01:03:43,000
Speaker 1: observing the state of this country? Oh boy, you can

1153
01:03:43,080 --> 01:03:45,640
Speaker 1: hear it in our voices, can't you. Um, we're gonna

1154
01:03:45,640 --> 01:03:49,760
Speaker 1: go out on new new collaboration between some of my

1155
01:03:49,840 --> 01:03:54,320
Speaker 1: favorite artists, mad Lib and the drummer Kareem Riggins together

1156
01:03:54,680 --> 01:03:56,959
Speaker 1: they have I think they have a group called Supreme Team,

1157
01:03:56,960 --> 01:03:58,840
Speaker 1: but this is another group they when they come together

1158
01:03:58,880 --> 01:04:03,560
Speaker 1: called the Jajari Massamba Unit. And if you don't like

1159
01:04:04,120 --> 01:04:08,160
Speaker 1: Kareem Reaggins or mad Live, you don't know, okay. And

1160
01:04:08,160 --> 01:04:10,480
Speaker 1: also Cream Reagins is one of the most talented drummers,

1161
01:04:10,560 --> 01:04:13,080
Speaker 1: jazz drummer, hip hop drummers. It's out there. If you

1162
01:04:13,160 --> 01:04:14,720
Speaker 1: like Ja Dilla, you should know that both of these

1163
01:04:14,720 --> 01:04:17,400
Speaker 1: people regularly work with Jay Della. But there's a live

1164
01:04:17,520 --> 01:04:20,400
Speaker 1: album that they're doing and this track is called Reasoning

1165
01:04:20,760 --> 01:04:23,600
Speaker 1: Poor Robert and it's spelled p O you Are. But

1166
01:04:24,000 --> 01:04:28,760
Speaker 1: uh yeah, just a really really one project from two great,

1167
01:04:28,960 --> 01:04:31,480
Speaker 1: great artists, So check that out, all right. Well, The

1168
01:04:31,560 --> 01:04:33,600
Speaker 1: Daily is That Guys is a production by Her Radio

1169
01:04:33,640 --> 01:04:35,840
Speaker 1: from More podcast from My Her Radio, visit the Heart

1170
01:04:35,880 --> 01:04:38,280
Speaker 1: radio app, Apple podcast, or wherever you listen to your

1171
01:04:38,320 --> 01:04:40,520
Speaker 1: favorite shows. That's gonna do it for us this morning,

1172
01:04:40,880 --> 01:04:44,000
Speaker 1: but we're back this afternoon to tell you what's trending

1173
01:04:44,320 --> 01:04:47,640
Speaker 1: and we'll talk to you then Bike Bike