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Speaker 1: Hello the Internet, and welcome to season forty six, Episode

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Speaker 1: four of The Daily Zeitgeist for Thursday, August thirty, two

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Speaker 1: thousand and eight. Team, my name's Jack O'Brien, a kay oh,

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Speaker 1: Brian Zike Gang never believe it and the rest is

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Speaker 1: just the same as this song. Uh. That's courtesy of

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Speaker 1: Finn guard Bow on Twitter at real finj and I'm

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Speaker 1: thrilled to be joined once again by my co host

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Speaker 1: Mr Miles. Ray Miles, you know you better watch out

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Speaker 1: some brace some brazzerronly about szykang zyking sacking. Oh, I

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Speaker 1: keep going right, keep going fo yeah, bring it in

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Speaker 1: the second versus dedicate as well. You know there could

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Speaker 1: be so many ways to do that. Lauren Hill's been

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Speaker 1: in the Zygeist for real the last couple weeks, and

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Speaker 1: that ak is from the Drizzle at n sk Adson

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Speaker 1: or and Skatson. You could be n S Katson. I

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Speaker 1: don't know. I'm not gonna assume anything about you. I

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Speaker 1: wish she'd just like featured on other people's songs because

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Speaker 1: she's such a good rapper, like the way Andre does

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Speaker 1: like he He hasn't released a solo album, but at

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Speaker 1: least he still does features and you get to hear

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Speaker 1: him just like like her personality gets in the way.

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Speaker 1: You know, she's like, I'm not she if she still

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Speaker 1: wanted to feature, she'd bring the fujus. Okay, she's her

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Speaker 1: home thing now well and also telling people not to

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Speaker 1: look for a so that something about don't look at me,

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Speaker 1: don't look at me. Also, would you like to collaborate?

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Speaker 1: And we are throwing to be joining our third seat.

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Speaker 1: You've heard his beautiful singing voice already by the act

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Speaker 1: of that some comedian Derek Lamo. Hello, what's up? I

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Speaker 1: don't have a catchy seventies uh intro Okay, well that

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Speaker 1: is on you. Yeah, okay, we told I love music.

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Speaker 1: I just don't want to disrespect it that way. Disrespect Wow.

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Speaker 1: I guess we're gonna have to play back my singing.

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Speaker 1: I think auto te phones must be sucked up. I mean,

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Speaker 1: if you took a yeah like a tuner and put

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Speaker 1: it right to it, you were dead in the middle

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Speaker 1: of the time. We're not pitchy at all. Then, Wait,

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Speaker 1: who's your favorite band from the man? I mean it's

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Speaker 1: more favorite style like glam rock from the seventies, or

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Speaker 1: just really straight up pop like some pgs, Yes, like

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Speaker 1: what was actually on the charts? Yeah, right right, yeah,

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Speaker 1: but people love to shoot on disco, but it's just

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Speaker 1: like disco was the thing for queer folks before queer

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Speaker 1: folks could be openly queer. Like that is all. Vibe

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Speaker 1: into it. Yeah, and also think about two like Daft

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Speaker 1: Punk and Justice, those electronic groups, they wouldn't be shipped

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Speaker 1: without ripping off old disco tracks and just speeding them

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Speaker 1: up or chopping them up exactly. Shouts to disco forever. Alright, Derek,

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Speaker 1: we're gonna get to know you a little bit better,

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Speaker 1: but first we're gonna tell our listeners what we're gonna

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Speaker 1: be talking about today. We're gonna be talking Pumpkin Spice season.

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Speaker 1: It's back, baby. We're gonna be giving you a Netflix

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Speaker 1: recommend lacion. Uh. We're gonna be talking about the new

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Speaker 1: trend in knocking people's maga hats off their head and

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Speaker 1: what sorts of legal trouble that can get you into.

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Speaker 1: We're going to talk about the gops continued hunt for

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Speaker 1: anybody who insults Putin and the Kremlin. We're going to

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Speaker 1: talk about Trump's promise to evangelicals of what would happen

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Speaker 1: if a blue wave happens, it will be violent. It's freaky.

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Speaker 1: We're gonna talk how the mayor of Tallahassee came out

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Speaker 1: of nowhere to blow up expectations. Uh, when the primary

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Speaker 1: in Florida. Whe you come out of nowhere though, you

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Speaker 1: know you think about it? Yeah, according to the mainstream media,

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Speaker 1: lamestream media, Am I right, guys? Yeah? And how Mike

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Speaker 1: Sernovich and Kelly Ward rode to a loss, but how

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Speaker 1: that's probably the better thing for Republicans. We're gonna talk

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Speaker 1: about North Korea talks stalling out again in We're gonna

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Speaker 1: talk about the death toll from Maria, which has once

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Speaker 1: again been revised upward and now dwarfs the death toll

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Speaker 1: from Katrina, which I was alive daring Katrina. That was

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Speaker 1: a pretty big deal, right, guess yeah, I thought. So

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Speaker 1: we're gonna talk Kanye, We're gonna talk all sorts of stuff.

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

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Speaker 1: is something from your search history that is revealing about

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Speaker 1: who you are? Searcher story? So the last couple of

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Speaker 1: things I was searching was if I had a hammer

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Speaker 1: by Pete Seeger. Just it just kind of hit me

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Speaker 1: in the car. I was like, I need. I was

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Speaker 1: feeling real down, real frustrated about the world, and I

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Speaker 1: was like, I need, I need something pure, I need

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Speaker 1: something fun and just sat next to me. It was

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Speaker 1: just like, I know what you need, baby, PiZZ Sea

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Speaker 1: is talking very smooth to you. I know what you need, baby,

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Speaker 1: I know what you is me Pizza Papa PiZZ singer.

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Speaker 1: I think Hank Aaron. His biography was called If I

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Speaker 1: Had a Hammer Too. I believe it's a dope name

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Speaker 1: for I just remember as a kid, when like I

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Speaker 1: had book reports, I only did it on like athletes,

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Speaker 1: like historical athletes, and I was I went through that

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Speaker 1: stage historical figures. Everybody else was addressed as founding fathers.

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Speaker 1: I was dressed as Kareem Abdul Jabbar is No, no,

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Speaker 1: just had the goggles goggles and the Lakers rambus. Yeah.

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Speaker 1: I did not have a mustache yet. It was on

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Speaker 1: the second grade. That didn't come till third grade. Oh no,

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Speaker 1: it's the Hank Aaron biographys called it. I had a hammer. Look,

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Speaker 1: he's just a hypothetical family I had waving it around

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Speaker 1: in Pete's face. Yeah, No, different things, you know, he

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Speaker 1: was about hits Hank Aaron is about the home runs. Yes, uh,

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Speaker 1: and were you satisfied with like listening to it again? Yeah,

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Speaker 1: it's it's it's a really wonderful song. So like there's

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Speaker 1: an encampment for occupied l a that was involved before

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Speaker 1: a little bit we're playing music, and it was just

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Speaker 1: one of those songs that was like does anybody know?

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Speaker 1: Does anybody know? Like folk song? It was just us

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Speaker 1: sitting around with a group of guitars being like does

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Speaker 1: anybody know? For like ten minutes, I decided I'm playing

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Speaker 1: something else. Another thing I was googling was a great

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Speaker 1: recipe from a YouTube channel that I love called The

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Speaker 1: Boyles's Kitchen for Kay. For those of you who have

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Speaker 1: not have it, it's a slow swimmered pork in a

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Speaker 1: salsa vetta day sauce, and it is absolutely mind blowing

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Speaker 1: that what's the what's the secret in this recipe that

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Speaker 1: most recipes are getting wrong? Well, I don't know if

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Speaker 1: I was doing wrong, but like it's like it's there's

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Speaker 1: a specific ratio of like domteo and uh to other

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Speaker 1: chilis that you're using. So it's like whatever spice level

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Speaker 1: you can handle, you want to make it flavorful and fragrance,

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Speaker 1: so like you want to add it right and now

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Speaker 1: when you want to add lime and like mint and parsley.

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Speaker 1: But then there's also like what heat you more? You

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Speaker 1: anaheim A Serrano Halpenial kind of person at Chippo Smoked.

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Speaker 1: Give me the name of that YouTube channel one more

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Speaker 1: and more time a Boiler's Kitchen, Abila's kitchen. Yes, and

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Speaker 1: it is hosted by every Mexican grandmother. Got it? It

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Speaker 1: always rotate? Okay, It's just a version of everything I

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Speaker 1: saw being toasted by Cocoa grandma. There's a there's also

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Speaker 1: a YouTube channel like that I saw it for like

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Speaker 1: Italian Grandma's to or this one person was going and

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Speaker 1: just finding so many different nonas and it's just like

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Speaker 1: all these people are doing it off memory, Like we

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Speaker 1: gotta commit this to fucking digital video. Hell yeah, that's

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Speaker 1: actually a great idea, because I do feel like something

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Speaker 1: that's just being lost. Oh I did that with my grandfather.

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Speaker 1: You know, he used to have a barbecue restaurant up

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Speaker 1: in a like Baldwin Hills back in the day, and

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Speaker 1: he has barbecue saws that he makes from memory all

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Speaker 1: the time, and one day, I was like, yo, let

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Speaker 1: me just put the camera on you because I'd be like,

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Speaker 1: how do you do? And he I would write down

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Speaker 1: the recipe be like you know, he was just saying

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Speaker 1: a little bit of vinegar and a little bit yeah,

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Speaker 1: yeah exactly, And I'm like, you just poured a half

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Speaker 1: gallon of vinegar and sucking me up just a taste, yeah,

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Speaker 1: just a little bit. Yeah, put some onion in there?

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Speaker 1: Was that one or two? Yeah? Yeah, just like come

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Speaker 1: on now. Yeah, my mom has a chocolate chip cookies

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Speaker 1: that are like famous with everybody who's ever had one.

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Speaker 1: And we had them. Yeah yeah, yeah, they're cake as

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Speaker 1: fuck is how she describes it. But like she gives

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Speaker 1: the recipe at to other people. Nobody can repeat it though,

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Speaker 1: Like because nobody, because she's smart something back. Yeah, I

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Speaker 1: told him regular water, use sparkling water. That's right, Uh, Derek,

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Speaker 1: what is something that you think is overrated? Oh? My god. Democrats,

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Speaker 1: So yesterday, like the Senate, so there there are like

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Speaker 1: thirty three justices that are about to get approved, all

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Speaker 1: Trump appointed, and the Democrats hashed out a deal with

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Speaker 1: Mitch McConnell for potentially eleven and they ended up confirming

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Speaker 1: seven yesterday, and these are like lifetime appointments, so I

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Speaker 1: can go to home early. Yeah. Yeah. And every week

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Speaker 1: they're like we have to resist Trump and then the

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Speaker 1: first opportunity, it's like, well, if we of them this,

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Speaker 1: maybe they won't be so bad next time. It's like

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Speaker 1: how many times are you guys gonna get fucked by

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Speaker 1: the Democrats before you learn like you can't trust them?

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Speaker 1: And so people are like, well, what do we do?

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Speaker 1: What do we do? I'm like, you have to run.

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Speaker 1: You have to run, like go for city council, like

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Speaker 1: join a local office, do something, because like outrage alone

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Speaker 1: and calling your offices like is clearly not enough. Like

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Speaker 1: the Democrats have been like just like a really bad friend,

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Speaker 1: just taking like queer folks after dinner and people of

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Speaker 1: color after dinner and being like oh yeah, no, no, no no,

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Speaker 1: we'll take care you, take care you, and then when

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Speaker 1: the bill comes up, being like, oh I'll get you

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Speaker 1: next time. Ash, Yeah, I forgot my wallet, man, got

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Speaker 1: this one. Damn it. I'm sorry. Trump on the phone

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Speaker 1: with God, damn it. Yeah. We definitely saw that in

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Speaker 1: Florida too, where you know, you just you you run

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Speaker 1: on something that actually speaks to people and it's not

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Speaker 1: just sort of a boilerplate like yeah, we're in the

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Speaker 1: middle of the road kind of thing. And you're like,

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Speaker 1: I'm trying to appeal to working people and people have

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Speaker 1: callor everybody, and you're starting to see polls getting things

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Speaker 1: wrong in the other direction. Yeah, and that's what's amazingly

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Speaker 1: about the race in Florida was like nobody expected as

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Speaker 1: far as like mainstream media was concerned, Like nobody expected

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Speaker 1: Gillian to win, for him to like run on this

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Speaker 1: on what shouldn't be a radical platform, like hey, people

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Speaker 1: should be allowed to go see a doctor, Like that's

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Speaker 1: not a radical talk minimum ways, okay, right, but yeah,

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Speaker 1: in the same way that Trump, you know, used populism

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Speaker 1: to get people out, who I guess polls just like

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Speaker 1: weren't measuring. I think Gilliam got kids out and you know,

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Speaker 1: people who don't normally vote, I think is actually coming

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Speaker 1: in full force. Yeah, that's the whole key. So I

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Speaker 1: what I loved about AOC Alexander Acasto Cortez, what I

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Speaker 1: love that she said was like, we're not focusing on

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Speaker 1: swaying Trump voters, Like we're moved on, Like we're not

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Speaker 1: going to focus our time and energy on them, because

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Speaker 1: if they haven't made up their mind at this point

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Speaker 1: like that, then they won't. So but we do need

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Speaker 1: to engage people who have never voted before, who have

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Speaker 1: either never been inspired or have never cared about the process.

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Speaker 1: So I've been doing workforce development to kind of work

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Speaker 1: on my jay job for like ten years, and I've

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Speaker 1: been relating to people like, hey, you know this idea

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Speaker 1: that like you need to be involved just for the

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Speaker 1: simple reason that like if you're not at the table,

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Speaker 1: you're on the menu, and it matters the most, and

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Speaker 1: people are engaged the least at the local level. Like

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Speaker 1: last local election turnout in l A County was like

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Speaker 1: an abysmal and it's like, guys, this is where it

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Speaker 1: matters the absolute most. Like if you want your potholes

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Speaker 1: fixed and you want the five freeway done, like you

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Speaker 1: gotta go. What is something you think is underrated? Um

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Speaker 1: jury duty? Oh yeah, no, no, no, seriously, like jury duty,

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Speaker 1: Like everybody hates doing jury duty. But like if you

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Speaker 1: put it into a context of like how do I

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Speaker 1: make a difference, I'm just one person. I can't really

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Speaker 1: do a whole lot minute do jury duty. Take example

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Speaker 1: that most people take plea deals so they don't even

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Speaker 1: end up going to court, but the people who do

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Speaker 1: think that they have enough of a chance that they

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Speaker 1: might not get convicted. So you are really on the

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Speaker 1: front lines of preserving and protecting marginalized people. And for

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Speaker 1: all you white folks out there, like, if you want

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Speaker 1: to do the good work, like volunteer, did you jury

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Speaker 1: duty because you are canceling out like a potential potential

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Speaker 1: racist vote on a jury, right, yeah, because you'd be surprised. Man,

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Speaker 1: Like if you've ever been in a jury, how other

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Speaker 1: people are in their talking and like, oh no, like yeah,

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Speaker 1: someone might have to be the voice of reason in here, yes,

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Speaker 1: and it's usually it's usually older people. And as we know,

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Speaker 1: like older people tend to be more heavily influenced by

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Speaker 1: Fox News. And it's like, are you really gonna let

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Speaker 1: those guys decide the fate of somebody when we're not

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Speaker 1: even prosecuting the people who deserve most to be prosecuted,

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Speaker 1: Like who cares to some dude soul some shipped from Walmart?

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Speaker 1: Like there are Walmart executives stealing from you every single day. Yeah,

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Speaker 1: and that that's right because the question that got me

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Speaker 1: off the last time was does anybody have any work

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Speaker 1: obligations that will make it difficult for you to be

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Speaker 1: on trial for the next three weeks? I was like, yeah,

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Speaker 1: like who doesn't And it was all like retired people basically,

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Speaker 1: and most most cases don't even last out long. Y yeah, exactly.

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

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Speaker 1: true that you know to be false that social programs

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Speaker 1: keep people dependent. Um, so I work for an organization

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Speaker 1: that really helps people re entering society. So people who

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Speaker 1: have been in prison for the last ten fifty years,

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Speaker 1: who are currently on parole a probation, and so you know,

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Speaker 1: there's this huge conception about like, well they're you know,

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Speaker 1: they're felons, so like who's going to hire them? And

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Speaker 1: it's like, well, if they've served their time, why are

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Speaker 1: they still being punished once they get out? Right? That

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Speaker 1: is something to me that that's really kind of been

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Speaker 1: like why are we still doing it this way? Not

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Speaker 1: a life sense, yeah, or disenfranchising people once they've committed

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Speaker 1: a felony, And it's like, we know the justice system

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Speaker 1: is racist towards people of color, Like we know that.

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Speaker 1: So it's really just a tool of disenfranchisement that keeps

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Speaker 1: white people the majority. But like political power wise, but

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Speaker 1: as far as like social programs, people are like, well

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Speaker 1: they're abusing welfare and they're abusing food stamps. It's like

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Speaker 1: they don't really get that much. Like general relief is

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Speaker 1: two a months. Yeah, it really isn't all that much,

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Speaker 1: and the worst part is like you have to pay

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Speaker 1: it back and you only get it for like nine months. Yeah.

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Speaker 1: So it's the way that social programs are are set

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Speaker 1: up is that like usually these organizations aren't talking to

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Speaker 1: one another, so like if you're collecting food stamps, are

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Speaker 1: not they're not talking to unemployment, they're not talking to

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Speaker 1: so and so, and they're not talking to so and so.

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Speaker 1: So these many agencies are in contact with each other.

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Speaker 1: And what happens is, so let's say I'm on Section eight,

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Speaker 1: I'm receiving public housing. If I get a job, which

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Speaker 1: is what I'm supposed to do to move out of

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Speaker 1: public housing because it's supposed to be on paper only

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Speaker 1: supposed to be temporary. If I get a job and

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Speaker 1: they make over certain dollar amount, they just basically say, well,

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Speaker 1: now you make over the acceptable amount of income, so

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Speaker 1: you have to move out, and this forces people to

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Speaker 1: quit their jobs because it's like, well, I don't have

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Speaker 1: enough saved yet to be able to move, and I

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Speaker 1: can't afford rent in Los Angeles because rent is six

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Speaker 1: dollars wherever you go for like a one bedroom. So

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Speaker 1: it's like, if I have kids, you know, if I

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Speaker 1: have any other straining circumstances, you've just forced me, even

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Speaker 1: though my desire is there, to abandon something that potentially

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Speaker 1: can help me long term R. And so it doesn't

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Speaker 1: so much create dependence as so much as the system

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Speaker 1: is really designed to keep people in poverty, and the

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Speaker 1: statistics about people like being on welfare, it's really like

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Speaker 1: not that many people stay on it for very long,

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Speaker 1: and and they don't imagine what would happen or how

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Speaker 1: our economy would change, or how our society would change

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Speaker 1: if instead of of of punishing people you know, who

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Speaker 1: are receiving public's assistance, like if we move to like

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Speaker 1: a more universal basic income where regardless of your age

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Speaker 1: or regardless of your UH, you know, other factors, your

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Speaker 1: your physical ability or your disabled status, um you received

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Speaker 1: a certain amount a month like this frees people up

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Speaker 1: to explore new things and to try new things and

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Speaker 1: to get different kinds of training. So particularly with my experience,

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Speaker 1: like I work with people who traditionally have and I

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Speaker 1: hate using this term like entry level or no skilled experience.

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Speaker 1: So they're working in warehouses, they're working entry level jobs

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Speaker 1: for nothing, you know, for absolutely nothing. And so for

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Speaker 1: them talking about that kind of opportunity because so our

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Speaker 1: program pays them to go to work a couple of

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Speaker 1: days a week. It's only a part time job. But

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Speaker 1: in that other time, we're we're linking them up with trainings,

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Speaker 1: were linking them up with other things that they have

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Speaker 1: self identified me like, well, I'm kind of interested in this,

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Speaker 1: but I've been conditioned to think that that's completely unattainable

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Speaker 1: for me. So it's once you provide a pathway for folks,

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Speaker 1: they usually do it because it's like they just haven't

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Speaker 1: had the access. And once you give somebody that access,

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Speaker 1: like what they can do with it is incredible. I mean,

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Speaker 1: look no fur or than like the do it yourself

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Speaker 1: era that we're all living in. Like before you'd have

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Speaker 1: to sneak into the studios like Spielberg did just to

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Speaker 1: be able to be on set. But it's like now

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Speaker 1: anybody can shoot a film like we have that access

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Speaker 1: and we have that technology, and like a bunch of

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Speaker 1: amazing artists are coming out of being able to do

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Speaker 1: it by themselves. And that's exactly what has to happen

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Speaker 1: with the rest of the workforce, especially as we're like

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Speaker 1: modernizing and replacing the entire sections of workers with robots.

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Speaker 1: It's like, we have to do something to replace those

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Speaker 1: those jobs that have been lost. Yeah, go to your

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Speaker 1: grocery store. Half of the check out things are robots.

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Speaker 1: And that was they used to be union jobs. And

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Speaker 1: part of like stigmatizing those kinds of welfare benefits as

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Speaker 1: part of the thing and being like, oh, we'll see. Look,

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Speaker 1: we can kind of look at them as people who

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Speaker 1: are undeserving, and you know, why do we need to

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Speaker 1: help them, because you know, they obscure the facts around

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Speaker 1: how welfare is used, and you know, they reject the

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Speaker 1: idea that people naturally want better for themselves. Just give

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Speaker 1: them the opportunity to exactly, you will see that. That's

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Speaker 1: we're just built like that. Yeah, it's like, well, they

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Speaker 1: don't work hard. It's like I haven't met anybody who

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Speaker 1: works harder than somebody who's working two and a half

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Speaker 1: jobs just to make rent. Right, Yeah, Like it's not

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Speaker 1: their fault they're poor. They're just poor. Right. If I'm

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Speaker 1: working seventy five hours a week just to sustain myself, like,

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Speaker 1: that's weed slavery, that's not I don't have another word

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Speaker 1: for it. Like, that's just that's what it is. It's

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Speaker 1: it's a system that is designed to keep you on

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Speaker 1: a treadmill and you're just treading water and you're not

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Speaker 1: getting anywhere. And if you don't believe that the systems

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Speaker 1: intentionally designed this way, it's not like they're not giving

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Speaker 1: that money away to some people. Rich people are getting

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Speaker 1: that money given away to them in the form of

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Speaker 1: tax cuts and you know, all these different and they

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Speaker 1: hoard it at the top. So then just when someone

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Speaker 1: who works seventy five hours, they shouldn't have to if

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Speaker 1: they got paid a decent wage, you wouldn't need to

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Speaker 1: work two jobs and works any five hours and be

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Speaker 1: sixty years old. Yeah, And that's that's what I present

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Speaker 1: to my clients. It's like, if you were making enough

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Speaker 1: so that you could work one job and let's say

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Speaker 1: thirty hours a week, if you were able to staying

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Speaker 1: yourself and your family on a part time job, or

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Speaker 1: even like a full time job, what would you do

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Speaker 1: with that extra money? And a lot of them are

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Speaker 1: like I would send my kids this, I would buy this,

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Speaker 1: I would do this, I would fix my credit, I

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Speaker 1: would fix my car. And it's like that is the

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Speaker 1: kind of people either spend it or they invested in themselves.

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Speaker 1: And that is the type of stuff when we have

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Speaker 1: a service based economy, that's what keeps the wheels turning.

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Speaker 1: And so by weighing everybody down, by forcing them to

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Speaker 1: take these little independent contractor gigs like uber and lift

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Speaker 1: and you know, task grabbing and all those things, this

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Speaker 1: is just money for me so that I can make

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Speaker 1: a living, so that I can get by. It's like

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Speaker 1: you're putting people in a position where they can't spend

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Speaker 1: extra money, and that limits the amount of available jobs,

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Speaker 1: and those things are ultimately going to be reduced. Like

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Speaker 1: the pond is shrinking at an astronomical rate. It's the technology.

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Speaker 1: All right, we're gonna take a quick break and we'll

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Speaker 1: be right back. And we're back, and so is pumpkin

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Speaker 1: spice season. It's that time of year when we all

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Speaker 1: give ourselves an excuse to basically drink milkshakes with our

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Speaker 1: morning coffee and take like the level of sugar that

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Speaker 1: you get in there and whipped cream. I've been enjoying

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Speaker 1: the memes where it's basically treated like some combination of

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Speaker 1: white girl Spanish fly and white girl cat nip, like

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Speaker 1: in in the meme world. But I guess this is

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Speaker 1: in the meme economy. But this is basically I feel

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Speaker 1: like the and the way I feel about college football,

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Speaker 1: where like I don't really like college football or follow it,

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Speaker 1: but once college football season starts, it like starts to

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Speaker 1: feel like fall to me. For whatever reason. I feel

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Speaker 1: like this is sort of a non sport version of

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Speaker 1: that for the consumer culture, consumer based signal that the

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Speaker 1: seasons are changing, yes, and this guy is great. Yeah.

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Speaker 1: I mean that's like the thing where you go, oh shit,

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Speaker 1: that's right, pumpkin Okay, so it's fall. Yeah, I mean

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Speaker 1: that's that's how since we no longer have seasons because

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Speaker 1: of climate change, it's like we there are certain indicators

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Speaker 1: like pumpkin spice, Oh, it's fall. It's like the McRib,

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Speaker 1: Oh it's summer, right, shamrocks shake it's march, yeah, shamrock

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Speaker 1: March it's only March, right. I'm glad some things are

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Speaker 1: still respected. If they had a year round, I mean,

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Speaker 1: that's that to me, would be runaway capitalism. I don't know.

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Speaker 1: In this office, there's clearly there's some people who fucking

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Speaker 1: hate the pumpkin spice lattes, people who love the pumpkin

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Speaker 1: spice lat day. To me, I don't really give a fuck.

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Speaker 1: Drink whatever the funk you want. You don't throw your

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Speaker 1: money whatever you want to. But we all know that

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Speaker 1: the best seasonal beverage from a coffee shop is the

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Speaker 1: winter dream t latte from coffee bean tastes like mulling spices.

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Speaker 1: I'm a big fan of the egg no glatt is.

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Speaker 1: Hell yeah, isn't that thing like calorically so? I didn't

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Speaker 1: realize that until I looked at the calories and it's

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Speaker 1: got like a hundred more calories than the pumpkin spice,

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Speaker 1: like the ones that are already famous for being calorically dense.

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Speaker 1: They're like, oh yeah, we put an egg yolk and

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Speaker 1: two extra pounds of sugar. Yeah yeah, yeah, yeah, yeah,

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Speaker 1: the eggnog is nice. I wish that they had uh

424
00:22:19,320 --> 00:22:22,080
Speaker 1: they still I wish they still had the apple cider.

425
00:22:22,400 --> 00:22:25,720
Speaker 1: The hot apple cider was amazing. They just have straight

426
00:22:25,720 --> 00:22:27,840
Speaker 1: hot apple cider apple cider and they put like a

427
00:22:27,880 --> 00:22:32,200
Speaker 1: cinnamon stick in it. Great, you'll put them on the stove.

428
00:22:32,440 --> 00:22:34,879
Speaker 1: And like the pumpkin spice war debate, like I'm always

429
00:22:34,920 --> 00:22:36,600
Speaker 1: going to air on the side of sweet potato, like

430
00:22:37,119 --> 00:22:41,600
Speaker 1: sweet potato pie over pumpkin pie, sweepotato spice over pumpkin

431
00:22:41,640 --> 00:22:44,240
Speaker 1: spice every single time. Could you imagine there's a sweepotato

432
00:22:44,280 --> 00:22:50,399
Speaker 1: spice latte? Someone hits the ideas out there, happen, make

433
00:22:50,480 --> 00:22:52,520
Speaker 1: it happen in tagony in it. Yeah, let me get

434
00:22:52,520 --> 00:22:57,000
Speaker 1: that yam latte. We just wanted to follow up on

435
00:22:57,080 --> 00:23:00,200
Speaker 1: I think we mentioned yesterday the show Magic for Humans.

436
00:22:59,680 --> 00:23:03,399
Speaker 1: I Caitlin was talking about that. Yeah, and we we

437
00:23:03,480 --> 00:23:05,680
Speaker 1: watched a Twitter video that people just need to check

438
00:23:05,720 --> 00:23:08,840
Speaker 1: out where it's a clip of people watching a clip

439
00:23:08,960 --> 00:23:11,840
Speaker 1: from the show Magic for Humans. But it's one of

440
00:23:11,880 --> 00:23:16,000
Speaker 1: the better trailers I've seen for a Netflix series. It

441
00:23:16,080 --> 00:23:20,160
Speaker 1: was perfect. They tricked a man into believing that he

442
00:23:20,400 --> 00:23:24,520
Speaker 1: was invisible, he had become invisible, and the reaction this

443
00:23:24,640 --> 00:23:27,679
Speaker 1: on this man's face. That alone, I was like, Okay,

444
00:23:27,760 --> 00:23:31,000
Speaker 1: I'm i'm aa binge watch this ship forever. Although Netflix,

445
00:23:31,280 --> 00:23:33,439
Speaker 1: you know, they do not like people saying binge watching.

446
00:23:34,000 --> 00:23:36,760
Speaker 1: Because during who the funk was it, someone was doing

447
00:23:36,800 --> 00:23:40,960
Speaker 1: a press tour for a Netflix show. It was on

448
00:23:41,000 --> 00:23:44,399
Speaker 1: a watching Bend Guy Pierce because Guy Pierce is in

449
00:23:44,480 --> 00:23:48,119
Speaker 1: a new series on Netflix, and like someone said binge

450
00:23:48,119 --> 00:23:50,439
Speaker 1: watching and think he's like, actually, Netflix doesn't want to

451
00:23:50,520 --> 00:23:53,880
Speaker 1: sing binge watching or whatever. Okay, look that's how people

452
00:23:53,920 --> 00:23:56,160
Speaker 1: watch it. I'm sorry, fucking this is where we're at,

453
00:23:56,160 --> 00:23:59,480
Speaker 1: where people just stare at the screen abusing Netflix. It's

454
00:23:59,480 --> 00:24:02,880
Speaker 1: away from him now, like the lingo was locked in yes, yeah,

455
00:24:03,000 --> 00:24:08,080
Speaker 1: yeah whatever marathon marathon viewings. Yeah no, no, we've been

456
00:24:08,119 --> 00:24:12,040
Speaker 1: to watching anyways. We uh. This video that we're talking

457
00:24:12,040 --> 00:24:14,800
Speaker 1: about is on YouTube and we will post it in

458
00:24:14,800 --> 00:24:18,560
Speaker 1: the footpe. So there's been a couple of stories now

459
00:24:18,640 --> 00:24:24,320
Speaker 1: about young folks knocking MAGA hats off of classmates. I

460
00:24:24,359 --> 00:24:28,840
Speaker 1: think this is an interesting debate because both examples of

461
00:24:28,840 --> 00:24:32,920
Speaker 1: it happening that I'm aware of, the students got charged

462
00:24:33,000 --> 00:24:37,119
Speaker 1: with battery, and like there was one in San Antonio,

463
00:24:37,640 --> 00:24:40,520
Speaker 1: Wendy's I think where a dude like ripped it off

464
00:24:40,600 --> 00:24:44,159
Speaker 1: of yea and then and it was caught on video.

465
00:24:44,760 --> 00:24:48,240
Speaker 1: He also I think dumped a drinking their face. Yeah.

466
00:24:48,359 --> 00:24:51,080
Speaker 1: And then in this case, a young woman named Joan

467
00:24:51,200 --> 00:24:55,159
Speaker 1: Butler could face battery criminal charges after she admitted to

468
00:24:55,240 --> 00:24:58,359
Speaker 1: stealing a Maga hat from a classmate at Union Mine

469
00:24:58,520 --> 00:25:02,480
Speaker 1: High School in El Dorado, California. Why would you admit it,

470
00:25:02,920 --> 00:25:07,679
Speaker 1: ding dong? But she was just like, yeah, I'm tired

471
00:25:07,720 --> 00:25:11,400
Speaker 1: of having to go to class with people who are

472
00:25:11,480 --> 00:25:16,920
Speaker 1: wearing what is basically a symbol of hate and racism smels.

473
00:25:17,040 --> 00:25:19,360
Speaker 1: I can't I don't know if I can disagree with that,

474
00:25:19,400 --> 00:25:21,960
Speaker 1: Like if if people were wearing like Nazi hats, like

475
00:25:22,320 --> 00:25:24,439
Speaker 1: you would, I think the argument is like, well, just

476
00:25:24,520 --> 00:25:27,600
Speaker 1: because I wear this doesn't mean there's therefore blah blah blah.

477
00:25:27,680 --> 00:25:29,520
Speaker 1: But I think at the very least the school should

478
00:25:29,520 --> 00:25:33,320
Speaker 1: realize that this is disrupting the student body by letting

479
00:25:33,320 --> 00:25:36,320
Speaker 1: people wear these things. I mean, I'm sure if some

480
00:25:36,440 --> 00:25:39,160
Speaker 1: kid was rocking Antifa ship there will be some group

481
00:25:39,160 --> 00:25:41,000
Speaker 1: of ship heads who would try and funk with that

482
00:25:41,119 --> 00:25:43,399
Speaker 1: kid in the same way. Well, I mean, look at

483
00:25:43,400 --> 00:25:45,440
Speaker 1: look at it from this perspective. So, like, the schools

484
00:25:45,960 --> 00:25:49,240
Speaker 1: already have a list of things because they're quote unquote

485
00:25:49,280 --> 00:25:52,520
Speaker 1: disruptive to the learning process of what students can and

486
00:25:52,560 --> 00:25:55,439
Speaker 1: can't wear. Like women in particularly, it comes down on

487
00:25:55,520 --> 00:25:58,480
Speaker 1: like like we're seeing more and more, more and more

488
00:25:58,520 --> 00:26:01,600
Speaker 1: young girls being uh sent home because they have shorts

489
00:26:01,640 --> 00:26:04,960
Speaker 1: on or because they wearing tank tops that that you know,

490
00:26:05,040 --> 00:26:07,880
Speaker 1: the school is considering that it's too revealing. Black women

491
00:26:07,880 --> 00:26:12,080
Speaker 1: in particular have had their hair policed for forever. That's crazy.

492
00:26:12,200 --> 00:26:15,320
Speaker 1: So it's like you can't say that the school already

493
00:26:15,359 --> 00:26:17,760
Speaker 1: doesn't engage in this kind of behavior. And it's like

494
00:26:17,800 --> 00:26:20,480
Speaker 1: we are in a political climate where like if you

495
00:26:20,520 --> 00:26:22,959
Speaker 1: are are are from a marginalized community, if you're if

496
00:26:22,960 --> 00:26:25,520
Speaker 1: you're queer, if you're a personal color, you know, if

497
00:26:25,520 --> 00:26:28,639
Speaker 1: you have a disability, etcetera, cotcetera, etcetera, the way that

498
00:26:28,720 --> 00:26:32,080
Speaker 1: you have to navigate life is with caution. And so

499
00:26:32,200 --> 00:26:35,840
Speaker 1: for for these maga chud's, it's like, well, you know,

500
00:26:35,920 --> 00:26:38,320
Speaker 1: I'm being targeted because you know, because of my hat,

501
00:26:38,320 --> 00:26:40,080
Speaker 1: And it's like, well, you have something that you can

502
00:26:40,119 --> 00:26:44,119
Speaker 1: take off. For these people, they don't. That is their

503
00:26:44,200 --> 00:26:48,760
Speaker 1: existence is a target. And so like learn a little

504
00:26:48,760 --> 00:26:51,720
Speaker 1: bit of empathy. Number one. It's like that that reaction

505
00:26:51,760 --> 00:26:53,760
Speaker 1: that you have right there, and then with like, well,

506
00:26:54,160 --> 00:26:56,399
Speaker 1: I just don't think it's fair because I'm a white

507
00:26:56,400 --> 00:26:58,399
Speaker 1: male and I like chap that I should be treated

508
00:26:58,440 --> 00:27:00,160
Speaker 1: this way. And it's like, okay, that right there are

509
00:27:00,600 --> 00:27:04,520
Speaker 1: You've identified the problem. Now just extend that to people

510
00:27:04,560 --> 00:27:09,000
Speaker 1: who don't fucking look like you. Yeah, the white fragility

511
00:27:09,119 --> 00:27:12,639
Speaker 1: is staggering. Well, but they have, but they have to

512
00:27:12,760 --> 00:27:16,240
Speaker 1: become victims of something to operate properly, because they can't

513
00:27:16,240 --> 00:27:18,040
Speaker 1: just be full throt like yeah, we were on top

514
00:27:18,480 --> 00:27:20,240
Speaker 1: and I can keep this maghat on. Well, there's there's

515
00:27:20,280 --> 00:27:23,359
Speaker 1: really interesting conversations to kind of be had their like

516
00:27:23,400 --> 00:27:26,200
Speaker 1: a really nuanced way. So I was listening to this guy,

517
00:27:26,280 --> 00:27:28,199
Speaker 1: Michael Kimmel, and he's kind of an expert on like

518
00:27:28,440 --> 00:27:32,240
Speaker 1: on masculinity, and he was talking about how like the

519
00:27:32,280 --> 00:27:36,840
Speaker 1: promise of America or the promise of white America has

520
00:27:36,920 --> 00:27:40,040
Speaker 1: slowly been stripped away because of capitalism, because of these

521
00:27:40,119 --> 00:27:45,200
Speaker 1: multinational corporations. It's limited the economic freedom that white people

522
00:27:45,240 --> 00:27:48,200
Speaker 1: once enjoyed. And also I think it's just the function

523
00:27:48,240 --> 00:27:50,480
Speaker 1: of this sort of late stage of capitalism that the

524
00:27:50,480 --> 00:27:54,080
Speaker 1: country's into. Where As you're saying resources dry up corporations

525
00:27:54,080 --> 00:27:56,120
Speaker 1: are trying to dismantle the state and every way they

526
00:27:56,119 --> 00:27:58,800
Speaker 1: can and and pick a part the carcass of what

527
00:27:58,840 --> 00:28:02,879
Speaker 1: was once a ming economy, and that I think limited opportunity.

528
00:28:02,920 --> 00:28:05,320
Speaker 1: That's what allows now for people to be like, hey,

529
00:28:05,359 --> 00:28:08,639
Speaker 1: it's not the corporations, it's these immigrants, it's not the corporations.

530
00:28:08,840 --> 00:28:12,159
Speaker 1: Is black lives matter, it's not these corporations, it's gay people,

531
00:28:12,200 --> 00:28:13,960
Speaker 1: you know what I mean? And these are all distractions

532
00:28:14,000 --> 00:28:16,760
Speaker 1: for this diminished opportunity that everyone's feeling, when really it's

533
00:28:16,760 --> 00:28:19,080
Speaker 1: has nothing to do with that. They're pitting people against

534
00:28:19,119 --> 00:28:20,600
Speaker 1: each other when all you have to look up and

535
00:28:20,600 --> 00:28:23,000
Speaker 1: be like, wait, who's actually doing better than everyone else?

536
00:28:23,080 --> 00:28:25,280
Speaker 1: Because you can say, oh I hate all these you

537
00:28:25,280 --> 00:28:27,000
Speaker 1: can be xenophobic and all this other stuff, But you

538
00:28:27,000 --> 00:28:28,840
Speaker 1: asked this person, are you happy with your job? Are

539
00:28:28,840 --> 00:28:30,119
Speaker 1: you hap with your income? Are you happy with your

540
00:28:30,119 --> 00:28:33,840
Speaker 1: access to healthcare? Education? Probably not? H And then and

541
00:28:34,080 --> 00:28:38,120
Speaker 1: really understand who who's at the levers making those decisions

542
00:28:38,120 --> 00:28:40,040
Speaker 1: that are affecting you at that level too, Yeah and

543
00:28:40,080 --> 00:28:41,800
Speaker 1: so and so. You know when we have like these

544
00:28:41,840 --> 00:28:43,560
Speaker 1: debates and we have these talks and people are like, well,

545
00:28:43,600 --> 00:28:45,880
Speaker 1: it's it's class, not race, And I'm like, look, it

546
00:28:46,080 --> 00:28:49,920
Speaker 1: is partially that, but it is also race, because when

547
00:28:49,960 --> 00:28:53,080
Speaker 1: you give racist money, they don't suddenly become not racist.

548
00:28:53,960 --> 00:28:56,560
Speaker 1: Yeah yeah, the man. I mean, look, it's it's funny too,

549
00:28:56,640 --> 00:28:58,320
Speaker 1: Like you said, like in school, Like I went to

550
00:28:58,360 --> 00:29:01,000
Speaker 1: school where my classmate he had redlocks, and they were

551
00:29:01,040 --> 00:29:03,719
Speaker 1: like for years they were trying to be like, you know,

552
00:29:03,800 --> 00:29:08,160
Speaker 1: that's an unnatural hairstyle. It's oh fuck you. There was

553
00:29:08,200 --> 00:29:09,840
Speaker 1: a girl who was just sent home the other day

554
00:29:10,520 --> 00:29:12,600
Speaker 1: where she was crying. There was a video of her

555
00:29:12,600 --> 00:29:14,640
Speaker 1: because they kept saying, oh, your your hairstyle is unnatural

556
00:29:14,760 --> 00:29:18,080
Speaker 1: because she had you know she had Yeah, And the

557
00:29:18,160 --> 00:29:20,720
Speaker 1: same thing. I remember, I couldn't have a fucking lineup

558
00:29:20,960 --> 00:29:23,280
Speaker 1: or a fade in high school because they're like, uh,

559
00:29:23,520 --> 00:29:25,840
Speaker 1: you know, that's that's too edgy or something. I was like,

560
00:29:25,960 --> 00:29:27,360
Speaker 1: you're just trying to do you just don't want me

561
00:29:27,400 --> 00:29:29,920
Speaker 1: to rock my hairstyle the way I had it. I

562
00:29:29,960 --> 00:29:32,360
Speaker 1: had a part once in high school. They were like, yo,

563
00:29:32,440 --> 00:29:36,040
Speaker 1: you gotta go to the fucking Dean and ships here.

564
00:29:36,560 --> 00:29:40,880
Speaker 1: I came back with two parts the next week. Um. Yeah,

565
00:29:40,960 --> 00:29:44,280
Speaker 1: so let's maybe think about not letting people wear maga

566
00:29:44,280 --> 00:29:47,160
Speaker 1: hats to school. The very least I mean about it

567
00:29:47,240 --> 00:29:50,320
Speaker 1: clearly that it's it's causing problems, and people do it

568
00:29:50,360 --> 00:29:54,320
Speaker 1: to antagonize people. It's not that's the fascist, to antagonize

569
00:29:54,360 --> 00:29:59,520
Speaker 1: people of color, your class, fascist statement fascist easta. I

570
00:29:59,520 --> 00:30:02,160
Speaker 1: mean happen right after the election two and these in

571
00:30:02,240 --> 00:30:05,840
Speaker 1: school kids were chanting Trump at brown kids because they

572
00:30:05,920 --> 00:30:10,240
Speaker 1: knew it was and that's how it causes distressed. So

573
00:30:10,280 --> 00:30:12,280
Speaker 1: we can't even pretend that like, oh, it's just an

574
00:30:12,280 --> 00:30:15,080
Speaker 1: innocent hands, just a hat. It's like, no, it's a symbol.

575
00:30:15,760 --> 00:30:18,840
Speaker 1: It's like the dog whistles are gone like it We're

576
00:30:18,880 --> 00:30:24,120
Speaker 1: talking like blaring ambulance alarms. Yeah, Miles, Yeah, there's a

577
00:30:24,120 --> 00:30:27,480
Speaker 1: gentleman named Bruce or who works for the Department of Justice. Yeah,

578
00:30:27,560 --> 00:30:31,200
Speaker 1: he's a gentleman. He is a gentleman, got soft hands,

579
00:30:31,320 --> 00:30:35,840
Speaker 1: and he is being antagonized by the Trump administration, of course,

580
00:30:35,920 --> 00:30:39,720
Speaker 1: which doesn't totally make sense because I mean they're conservatives,

581
00:30:39,720 --> 00:30:44,000
Speaker 1: and conservatives usually ally with the Department of Justice. Oh, Jack,

582
00:30:45,800 --> 00:30:48,600
Speaker 1: I wanted to do some closed door hearings, but with

583
00:30:48,680 --> 00:30:52,400
Speaker 1: Congress and everyone's like, okay, I wonder why you know,

584
00:30:52,480 --> 00:30:54,920
Speaker 1: and Bob goodluck came out like this guy, I'm Tony,

585
00:30:55,000 --> 00:30:57,840
Speaker 1: just Bruce Or Man, he's a fucking deep Stater. He

586
00:30:57,880 --> 00:31:01,440
Speaker 1: went to Deep State University and majored in antonium uranium

587
00:31:01,720 --> 00:31:04,520
Speaker 1: or whatever the fun they want to say. And yeah,

588
00:31:04,560 --> 00:31:07,680
Speaker 1: so everyone's like, okay, uh, they're saying, will you ask

589
00:31:07,760 --> 00:31:09,720
Speaker 1: them why? Well, what why are you angry at this man?

590
00:31:09,920 --> 00:31:12,479
Speaker 1: Oh well, let me tell you something. His wife used

591
00:31:12,520 --> 00:31:15,120
Speaker 1: to did some work for Fusion GPS, who made the

592
00:31:15,120 --> 00:31:19,560
Speaker 1: Steel dossier. Therefore, uh, he is aligned against the president

593
00:31:19,560 --> 00:31:21,280
Speaker 1: and all this other bullshit. And you know, we we

594
00:31:21,360 --> 00:31:24,360
Speaker 1: found out that he was talking to Christopher Steele. Uh,

595
00:31:24,440 --> 00:31:28,560
Speaker 1: even though the FBI approved their discussions clearly, because here's

596
00:31:28,560 --> 00:31:30,560
Speaker 1: here's the thing. If you take all that aside, if

597
00:31:30,600 --> 00:31:32,000
Speaker 1: you really look at what the fun is going on,

598
00:31:32,160 --> 00:31:35,680
Speaker 1: Bruce Or is like the fucking god him c of

599
00:31:36,040 --> 00:31:39,840
Speaker 1: understanding Russian organized crime. So we talked earlier about Peter Struck,

600
00:31:39,880 --> 00:31:42,280
Speaker 1: who was the FBI agent who had the text messages,

601
00:31:42,320 --> 00:31:44,400
Speaker 1: and yeah, the text message didn't look good, but he

602
00:31:44,480 --> 00:31:47,560
Speaker 1: clearly was probably acting very professional. As we said before,

603
00:31:47,920 --> 00:31:50,200
Speaker 1: the way these bureaucracies work, it's hard for one man

604
00:31:50,240 --> 00:31:54,280
Speaker 1: to just take something totally left if Putin gave Trump

605
00:31:54,320 --> 00:31:57,920
Speaker 1: a list of people would be on it, and so

606
00:31:58,000 --> 00:32:01,080
Speaker 1: would Yeah, and Struck was the like expert in Russian

607
00:32:01,160 --> 00:32:03,680
Speaker 1: count like a counter intelligence in general, and he exposed

608
00:32:03,680 --> 00:32:06,120
Speaker 1: that group of literally like the real life version of

609
00:32:06,120 --> 00:32:09,160
Speaker 1: the Americans where used to Russians who were like moving

610
00:32:09,200 --> 00:32:11,440
Speaker 1: from Canada to the US to France and just trying

611
00:32:11,480 --> 00:32:14,960
Speaker 1: to infiltrate the government. He spotted him, got him, uh,

612
00:32:14,960 --> 00:32:16,760
Speaker 1: and then they smeared the ship out of him. And

613
00:32:16,800 --> 00:32:19,200
Speaker 1: now he's no longer at the FBI and would probably

614
00:32:19,240 --> 00:32:22,080
Speaker 1: be a witness to any you know, early intelligence about

615
00:32:22,080 --> 00:32:24,360
Speaker 1: what was going on between Russia and the Trump campaign. Now,

616
00:32:24,360 --> 00:32:28,160
Speaker 1: Bruce Or he is the master of Russian organized crime,

617
00:32:28,680 --> 00:32:31,240
Speaker 1: like he indicted like the head of the Russian mob.

618
00:32:31,600 --> 00:32:33,640
Speaker 1: And this man who was the head of Russian mob,

619
00:32:33,680 --> 00:32:35,280
Speaker 1: his name has floated in and out of this Muller

620
00:32:35,320 --> 00:32:37,880
Speaker 1: investigation too, of having connections to other people who are

621
00:32:37,920 --> 00:32:40,480
Speaker 1: involved in this stuff, you know, oh, like Dera Posca,

622
00:32:40,560 --> 00:32:43,479
Speaker 1: who is the connective tissue between Paul Manafort and Putin.

623
00:32:44,040 --> 00:32:46,640
Speaker 1: Like I think twelve years ago, Bruce Or was one

624
00:32:46,640 --> 00:32:48,280
Speaker 1: of the people who flagged him, being like do not

625
00:32:48,360 --> 00:32:50,000
Speaker 1: let this guy in the country. He's up to some

626
00:32:50,080 --> 00:32:52,320
Speaker 1: bullshit and we don't funk with the funkery here, so

627
00:32:52,520 --> 00:32:55,760
Speaker 1: keep him out. So now this all makes sense because

628
00:32:55,800 --> 00:32:58,680
Speaker 1: they're going after Bruce or because he is. You know,

629
00:32:58,720 --> 00:33:01,560
Speaker 1: if anyone can start connect dots between organized crime in

630
00:33:01,640 --> 00:33:04,360
Speaker 1: Russia and the US, they would be this person. So

631
00:33:04,440 --> 00:33:07,200
Speaker 1: now they've done a full, full corporate job, full corp

632
00:33:07,240 --> 00:33:10,360
Speaker 1: press pressing the man, and when really he hasn't done

633
00:33:10,400 --> 00:33:13,360
Speaker 1: ship like he's done nothing that's actually a violation. They're

634
00:33:13,400 --> 00:33:15,960
Speaker 1: just speculating all these things and trying to tarnish his

635
00:33:16,040 --> 00:33:19,160
Speaker 1: character when this guy has been like a career organized

636
00:33:19,160 --> 00:33:22,400
Speaker 1: crime fighter like from the jump. Uh. And also when

637
00:33:22,440 --> 00:33:24,320
Speaker 1: you want to talk about how bad Christopher Steele is,

638
00:33:24,400 --> 00:33:26,880
Speaker 1: keep in mind he's m I six is, or was

639
00:33:27,040 --> 00:33:29,800
Speaker 1: m I six is Russia expert. So when they were talking,

640
00:33:30,040 --> 00:33:32,640
Speaker 1: these are two people who are straight up like it's

641
00:33:32,680 --> 00:33:34,080
Speaker 1: like the All Star team where it's like, you know,

642
00:33:34,080 --> 00:33:36,520
Speaker 1: why would Lebron be talking to Kobe Bryant or whatever?

643
00:33:36,560 --> 00:33:38,160
Speaker 1: Like the people good at what they do. They're in

644
00:33:38,200 --> 00:33:40,600
Speaker 1: the same field. Of course they see each other at

645
00:33:40,600 --> 00:33:43,320
Speaker 1: the time because there are things they know, you know,

646
00:33:43,640 --> 00:33:47,440
Speaker 1: affect each other's job. And again they were communicating with

647
00:33:47,480 --> 00:33:50,800
Speaker 1: the FBI's approval. He wasn't divulging anything that was dangerous.

648
00:33:50,840 --> 00:33:53,200
Speaker 1: They're just like, oh yeah, maybe you guys, can you know,

649
00:33:53,240 --> 00:33:55,200
Speaker 1: brief each other on something. It's one of those situations

650
00:33:55,200 --> 00:33:57,800
Speaker 1: where the answer to that question actually makes you look

651
00:33:57,840 --> 00:34:01,520
Speaker 1: really bad because Still is the expert on Russia. He

652
00:34:01,680 --> 00:34:04,920
Speaker 1: is a very trusted expert on Russia. So it makes

653
00:34:04,960 --> 00:34:07,240
Speaker 1: sense that people from the Department of Justice will be

654
00:34:07,240 --> 00:34:10,400
Speaker 1: talking about steal like a basement dwelling Q and on

655
00:34:10,600 --> 00:34:14,520
Speaker 1: conspiracy theorist and like completely don't acknowledge it, like this guy,

656
00:34:15,080 --> 00:34:18,160
Speaker 1: like the UK trust him with their Russian knowledgy. Yes, well,

657
00:34:18,160 --> 00:34:20,120
Speaker 1: I mean that, well, that's part of the game plan.

658
00:34:20,239 --> 00:34:22,920
Speaker 1: Like the Republican game plan has always been like oh

659
00:34:23,000 --> 00:34:25,840
Speaker 1: you're cool. We're like we're cool, You're Lauren Order person cool.

660
00:34:26,320 --> 00:34:29,400
Speaker 1: Until you have the expertise, it's like, oh, ship, now

661
00:34:29,440 --> 00:34:32,520
Speaker 1: the tables will turn. Now we have to project everything

662
00:34:32,600 --> 00:34:35,839
Speaker 1: onto you to discredit you. But that's what just said.

663
00:34:35,840 --> 00:34:37,920
Speaker 1: When you see like people like Bob Goodland and Tradaddy

664
00:34:38,200 --> 00:34:40,480
Speaker 1: and Devin Nonez who went all the way to the UK,

665
00:34:40,760 --> 00:34:42,719
Speaker 1: mind you to try and talk to like m I

666
00:34:42,800 --> 00:34:45,239
Speaker 1: six and G s h Q to be like, hey,

667
00:34:45,320 --> 00:34:47,000
Speaker 1: can I talk to your spy people to try and

668
00:34:47,000 --> 00:34:48,839
Speaker 1: dig up ship, and they're like, we do not want

669
00:34:48,840 --> 00:34:51,080
Speaker 1: to talk to you, like go home. We're like we're

670
00:34:51,080 --> 00:34:53,600
Speaker 1: not interested. We know what you're up to. And it

671
00:34:53,680 --> 00:34:56,960
Speaker 1: shows you that they're just doing the Kremlin's work essentially,

672
00:34:57,040 --> 00:34:59,160
Speaker 1: where they're like, you know, okay, this makes sense this

673
00:34:59,239 --> 00:35:02,480
Speaker 1: person no too much, let's try and discredit them. Okay, great,

674
00:35:02,520 --> 00:35:05,719
Speaker 1: Like it's it's so anti American, it's unbelievable. But this

675
00:35:05,840 --> 00:35:07,960
Speaker 1: is the world we live in. How many times a

676
00:35:08,040 --> 00:35:11,080
Speaker 1: day do you think Trayouty's hair changes, like his hair stuff,

677
00:35:11,360 --> 00:35:15,240
Speaker 1: Oh my god, I think every every time he's well paid,

678
00:35:16,200 --> 00:35:18,920
Speaker 1: Like every time they cut to him in a hearing,

679
00:35:19,120 --> 00:35:21,759
Speaker 1: he's got a different hair, like the fast wave, then

680
00:35:21,800 --> 00:35:25,040
Speaker 1: saying it's like the flock of seagulls kind of dude,

681
00:35:25,120 --> 00:35:27,680
Speaker 1: is amazing. Sorry I cut you off. No, no, no no,

682
00:35:27,800 --> 00:35:31,799
Speaker 1: that was like, if anything, it's incredibly American, right, Yeah,

683
00:35:32,400 --> 00:35:34,239
Speaker 1: it's true. I guess I I try and speak from

684
00:35:34,239 --> 00:35:36,640
Speaker 1: this idealistic version of how I think the country could be,

685
00:35:37,120 --> 00:35:40,799
Speaker 1: while you know, completely ignoring like usually we're talking about

686
00:35:40,800 --> 00:35:43,719
Speaker 1: the FBI and suddenly it's like, hey, man, the FBI though, Yeah,

687
00:35:43,800 --> 00:35:46,160
Speaker 1: that's what's so weird. Like there's all these democrats being

688
00:35:46,200 --> 00:35:49,799
Speaker 1: like I support the FBI, and it's like literally in

689
00:35:49,840 --> 00:35:54,000
Speaker 1: this very specific instate, it's like there's probably an activist

690
00:35:54,040 --> 00:35:59,000
Speaker 1: list that I'm on, Like yeah, like yeah, between torture,

691
00:35:59,040 --> 00:36:03,759
Speaker 1: porn and you know, suppressing dissident voices in the country. Yeah,

692
00:36:03,840 --> 00:36:06,680
Speaker 1: but well you're talking about why you're on the list

693
00:36:07,120 --> 00:36:11,040
Speaker 1: because of your torture. Well yeah, me and Gina Hospital.

694
00:36:11,080 --> 00:36:12,680
Speaker 1: You know, we used to kick it back in the day. Oh,

695
00:36:12,960 --> 00:36:16,440
Speaker 1: got it, got it? All right. Let's talk briefly about

696
00:36:17,280 --> 00:36:21,480
Speaker 1: President Trump. Uh, you know, his strategy for dealing with

697
00:36:21,520 --> 00:36:25,560
Speaker 1: this upcoming blue wave is uh, we got we got

698
00:36:25,640 --> 00:36:27,520
Speaker 1: kind of a brief preview of it, and his Fox

699
00:36:27,520 --> 00:36:31,880
Speaker 1: News interview the day after our Super Tuesday when Cohen

700
00:36:32,520 --> 00:36:35,080
Speaker 1: like basically was like I did a crime and he

701
00:36:35,160 --> 00:36:38,160
Speaker 1: told me to and Man of Fort was found guilty.

702
00:36:38,760 --> 00:36:42,120
Speaker 1: The day after that, Trump was on Fox News and

703
00:36:42,320 --> 00:36:46,280
Speaker 1: he said, if I'm impeached, like all hell will breaks

704
00:36:46,800 --> 00:36:49,960
Speaker 1: basically like just painting a picture of a post apocalyptic

705
00:36:50,080 --> 00:36:54,200
Speaker 1: landscape from like an eighties movie, the economy will crash.

706
00:36:54,320 --> 00:36:58,279
Speaker 1: And so he continued with that effort to paint a

707
00:36:58,280 --> 00:37:02,080
Speaker 1: picture with the A D words that he uses by

708
00:37:02,280 --> 00:37:07,560
Speaker 1: saying that if the blue wave comes, they will and

709
00:37:07,600 --> 00:37:11,320
Speaker 1: this isn't In a meeting with evangelicals at the White House,

710
00:37:11,480 --> 00:37:14,520
Speaker 1: he said, quote, they will overturn everything that we've done,

711
00:37:14,920 --> 00:37:18,520
Speaker 1: and they'll do it quickly and violently, and violently. There's

712
00:37:18,640 --> 00:37:21,440
Speaker 1: violence when you look at Antifa and you look at

713
00:37:21,480 --> 00:37:24,680
Speaker 1: some of these groups, these are violent people. Yeah, the

714
00:37:24,760 --> 00:37:27,879
Speaker 1: other part was there the level of hatred, the level

715
00:37:27,920 --> 00:37:31,080
Speaker 1: of anger is unbelievable. And then he says, uh, this

716
00:37:31,160 --> 00:37:33,759
Speaker 1: November six election is very much a referendum on not

717
00:37:33,840 --> 00:37:37,040
Speaker 1: only me, it's a referendum on your religion. It's a

718
00:37:37,080 --> 00:37:39,759
Speaker 1: referendum on free speech and the First Amendment. So he's

719
00:37:39,800 --> 00:37:43,399
Speaker 1: really just full on being ringing the panic alarm, being like,

720
00:37:44,200 --> 00:37:46,960
Speaker 1: can you do something? And also can you be violent? Me.

721
00:37:47,480 --> 00:37:49,840
Speaker 1: I'm just gonna keep saying this word violence and maybe

722
00:37:49,840 --> 00:37:52,680
Speaker 1: that will go into your brain somehow. Trump has the

723
00:37:52,760 --> 00:38:00,160
Speaker 1: vocabulary of one of those refrigerator poem magnetizstah. But it

724
00:38:00,239 --> 00:38:04,320
Speaker 1: is something that we actually absolutely need to be worried

725
00:38:04,360 --> 00:38:07,719
Speaker 1: about and keep an eye on. So everybody remembers during

726
00:38:07,719 --> 00:38:09,960
Speaker 1: the OBMA aginistration, like there was a severe rise in

727
00:38:10,000 --> 00:38:13,960
Speaker 1: white supremacy groups, like they were actively trying to buy weapons,

728
00:38:13,960 --> 00:38:18,440
Speaker 1: like their their stockpiling ammunition. And so recently there have

729
00:38:18,520 --> 00:38:21,279
Speaker 1: been a couple of reports like ProPublica published something on it.

730
00:38:21,320 --> 00:38:23,640
Speaker 1: There have been a lot of white supremacists entering the

731
00:38:23,640 --> 00:38:27,240
Speaker 1: military specifically to get training. And then once they've done,

732
00:38:27,520 --> 00:38:30,040
Speaker 1: you know, there for four to eight years, they come

733
00:38:30,160 --> 00:38:32,439
Speaker 1: back to their racist buddies and be like, guess who

734
00:38:32,480 --> 00:38:36,880
Speaker 1: knows how to hunt people? And so like we know,

735
00:38:37,840 --> 00:38:40,160
Speaker 1: like we just inherently know that there are a white

736
00:38:40,160 --> 00:38:43,960
Speaker 1: supremacist groups who are very anti government, who who have

737
00:38:44,000 --> 00:38:47,640
Speaker 1: already murdered people, like there are what forty three I

738
00:38:47,680 --> 00:38:49,719
Speaker 1: think that last I read forty three individuals have been

739
00:38:49,760 --> 00:38:52,279
Speaker 1: murdered over the last like three years, and another like

740
00:38:52,400 --> 00:38:55,560
Speaker 1: seventy who have been injured, like not killed, but severely injured.

741
00:38:56,000 --> 00:38:59,279
Speaker 1: So the violence is right underneath the surface, like it

742
00:38:59,440 --> 00:39:03,360
Speaker 1: is is there, like I have the forty three people

743
00:39:03,400 --> 00:39:07,200
Speaker 1: who have been killed by white supremacists, like in organized terrors,

744
00:39:08,680 --> 00:39:12,200
Speaker 1: like what are some examples of the wells Neil Wilson, Um,

745
00:39:12,239 --> 00:39:15,720
Speaker 1: the women who was stabbed on the train, um, the

746
00:39:15,719 --> 00:39:19,200
Speaker 1: the other Portland stabbing where the two where the white supremacists.

747
00:39:19,239 --> 00:39:21,479
Speaker 1: He was trying to attack a woman with a her job,

748
00:39:21,840 --> 00:39:24,440
Speaker 1: but too white men stepped in and they both unfortunately

749
00:39:24,440 --> 00:39:30,480
Speaker 1: lost their lives. Um, you know Heathery higher in in Charlottesville, Um,

750
00:39:30,600 --> 00:39:34,120
Speaker 1: the nine black parishioners who were murdered in the church

751
00:39:34,200 --> 00:39:37,759
Speaker 1: by Dylan Roof. Like there are tons of examples there

752
00:39:37,880 --> 00:39:42,040
Speaker 1: and we kind of keep moving on and it's interesting,

753
00:39:42,160 --> 00:39:44,320
Speaker 1: like they're isolated incidents and it's like, no, this is

754
00:39:44,360 --> 00:39:48,680
Speaker 1: a giant network of people who are showing you that

755
00:39:48,719 --> 00:39:51,360
Speaker 1: they are willing to murder you. And we need to

756
00:39:51,400 --> 00:39:54,719
Speaker 1: be taking it more seriously because it's like they have militias,

757
00:39:55,280 --> 00:40:01,359
Speaker 1: we have memes, but ours are so dang means are dead.

758
00:40:01,560 --> 00:40:05,080
Speaker 1: They absolutely are. But like, if let's say, if the

759
00:40:05,120 --> 00:40:08,640
Speaker 1: Blue Wave does happen, which there seventy days until the election,

760
00:40:08,719 --> 00:40:11,719
Speaker 1: Like if you're not, you guys need to start canvassing,

761
00:40:11,800 --> 00:40:15,399
Speaker 1: Like please get involved, find a local organization, get like

762
00:40:16,000 --> 00:40:18,360
Speaker 1: a Caul Tree together so you know you can like

763
00:40:18,600 --> 00:40:21,719
Speaker 1: help core Pool people to their polling place. Please get

764
00:40:21,760 --> 00:40:24,240
Speaker 1: involved if you haven't yet. If the Blue Wave happens

765
00:40:24,239 --> 00:40:27,400
Speaker 1: and we do happen to impege Trump, like I guarantee

766
00:40:27,400 --> 00:40:29,600
Speaker 1: you because of the level of violence, because of how

767
00:40:29,640 --> 00:40:34,080
Speaker 1: he can inspire people to take those kinds of actions.

768
00:40:34,239 --> 00:40:38,040
Speaker 1: And he has already like the newsroom shooting, repeating that

769
00:40:38,120 --> 00:40:42,520
Speaker 1: same rhetoric, like conservative media inspires violence. Like I wrote

770
00:40:42,520 --> 00:40:44,680
Speaker 1: a really long piece about it back in two thousand

771
00:40:44,760 --> 00:40:47,839
Speaker 1: and five where I was connecting the points of where

772
00:40:47,880 --> 00:40:50,600
Speaker 1: like somebody had used like Second Amendment solutions, and that

773
00:40:50,640 --> 00:40:52,759
Speaker 1: was the same week that Gabby Gifford got shot in

774
00:40:52,760 --> 00:40:55,359
Speaker 1: the head in Arizona, UM and I was making all

775
00:40:55,400 --> 00:40:58,040
Speaker 1: these points of like when you hear this in conservative media,

776
00:40:58,520 --> 00:41:01,120
Speaker 1: you see this action on people when they when they

777
00:41:01,200 --> 00:41:05,399
Speaker 1: bomb abortion clinics, when they threaten um, you know, when

778
00:41:05,400 --> 00:41:07,840
Speaker 1: they threatened women, when they kill people of color or

779
00:41:07,880 --> 00:41:11,839
Speaker 1: queer people, Like there is a direct correlation. And yeah,

780
00:41:11,920 --> 00:41:15,799
Speaker 1: freedom of switch is important, but we shouldn't be ignoring

781
00:41:15,920 --> 00:41:21,319
Speaker 1: and we shouldn't be protecting speech that incites violence. And

782
00:41:21,560 --> 00:41:26,640
Speaker 1: there's no competition between like white supremacist terror attacks and

783
00:41:26,880 --> 00:41:30,960
Speaker 1: other terror attacks that like white supremacist terror attacks not

784
00:41:31,040 --> 00:41:34,960
Speaker 1: counting nine eleven have killed the most number of people

785
00:41:35,320 --> 00:41:38,360
Speaker 1: in American history, and there at the very least seems

786
00:41:38,360 --> 00:41:40,799
Speaker 1: to be a huge double standard. All right, we're gonna

787
00:41:40,840 --> 00:41:53,360
Speaker 1: take a quick break. We'll be right back. And we're back,

788
00:41:53,560 --> 00:41:55,879
Speaker 1: And we have a theory on Trey Addy his hair

789
00:41:56,080 --> 00:41:59,400
Speaker 1: from super producer Ana Hosnia that Tray Adds hair is

790
00:41:59,480 --> 00:42:03,840
Speaker 1: mirroring Jamie Lee Curtis's hair. Um. Now, we do not

791
00:42:04,040 --> 00:42:07,479
Speaker 1: know if he's doing that intentionally or if if there's

792
00:42:07,520 --> 00:42:10,120
Speaker 1: some sort of mummy curse where at any time she

793
00:42:10,239 --> 00:42:13,400
Speaker 1: changes her hair his hair just magically moving it on

794
00:42:13,480 --> 00:42:16,640
Speaker 1: his head. But we will keep you guys abreast of

795
00:42:16,719 --> 00:42:21,520
Speaker 1: the latest details on that. And primaries happened on Tuesday eight.

796
00:42:21,560 --> 00:42:25,280
Speaker 1: Was calling it the day of the Weird Primaries ahead

797
00:42:25,280 --> 00:42:27,279
Speaker 1: of it, and I think they were also saying that

798
00:42:27,320 --> 00:42:30,879
Speaker 1: it paid off on that with unexpected things happening. Wait,

799
00:42:30,880 --> 00:42:32,880
Speaker 1: why are they called the weird primaries? I think they

800
00:42:32,880 --> 00:42:38,200
Speaker 1: were just expecting, like weird ships, that they were weird races,

801
00:42:38,280 --> 00:42:41,000
Speaker 1: and uh, they didn't totally know what was going to happen.

802
00:42:41,320 --> 00:42:48,200
Speaker 1: And Andrew Gillham came through and made ship weird for Florida.

803
00:42:48,400 --> 00:42:52,560
Speaker 1: He was not shown to be a leading in any

804
00:42:52,680 --> 00:42:55,920
Speaker 1: polls that were conducted in the during the race. He

805
00:42:55,960 --> 00:42:58,799
Speaker 1: wasn't even really close in the polls leading up to

806
00:42:58,880 --> 00:43:04,200
Speaker 1: yesterday's election, and his whole strategy was turn out young people,

807
00:43:04,600 --> 00:43:09,040
Speaker 1: turn out black people more than anyone expected, and that

808
00:43:09,280 --> 00:43:13,040
Speaker 1: actually worked. Yeah, go to the base, don't bother, you know,

809
00:43:13,120 --> 00:43:14,960
Speaker 1: going to It's the same thing like Stacy Abrams did

810
00:43:14,960 --> 00:43:19,080
Speaker 1: too with her strategy for her nomination for gubernatorial candidate

811
00:43:19,080 --> 00:43:21,439
Speaker 1: and Georgia, and it's the same thing. Like there were

812
00:43:21,520 --> 00:43:23,920
Speaker 1: some people were like, Okay, let me see if I

813
00:43:23,960 --> 00:43:26,080
Speaker 1: can get I think it was a Gwen Graham Is

814
00:43:26,080 --> 00:43:28,560
Speaker 1: who he was running against in Florida. She was more

815
00:43:28,680 --> 00:43:31,279
Speaker 1: doing the centrist Democrat thing of like running on like

816
00:43:31,360 --> 00:43:33,920
Speaker 1: the legacy of her family being in Florida politics, her

817
00:43:33,960 --> 00:43:36,200
Speaker 1: dad was a governor as well, and being like yeah,

818
00:43:36,440 --> 00:43:39,200
Speaker 1: I'm the Democrat kind of thing. And someone was like, hey,

819
00:43:39,440 --> 00:43:41,960
Speaker 1: you want fifteen dollars an hour, you want medicare for all,

820
00:43:42,080 --> 00:43:43,400
Speaker 1: Like this is what I'm trying to do, this is

821
00:43:43,400 --> 00:43:45,000
Speaker 1: what I'm gonna this is what I want to deliver

822
00:43:45,080 --> 00:43:48,320
Speaker 1: to you as governor. And clearly that strategy fucking worked

823
00:43:48,320 --> 00:43:52,200
Speaker 1: because yeah, yeah for young people of America, because I

824
00:43:52,200 --> 00:43:55,080
Speaker 1: feel like the young people of Florida are super fucking

825
00:43:55,120 --> 00:43:58,560
Speaker 1: motivated and organized because of the Parkland kids, but like

826
00:43:59,000 --> 00:44:01,040
Speaker 1: all across the country, this has to be like a

827
00:44:01,080 --> 00:44:03,400
Speaker 1: wake up call that you can affect change, Like your

828
00:44:03,480 --> 00:44:07,080
Speaker 1: vote does matter like a lot. That's how people like

829
00:44:07,360 --> 00:44:09,920
Speaker 1: saying that they were voting on their birthday, like they

830
00:44:09,920 --> 00:44:13,759
Speaker 1: had just turned old enough to vote. That's amazing, That's

831
00:44:13,880 --> 00:44:16,359
Speaker 1: that's such an incredible and kind of an inspiring thing.

832
00:44:16,400 --> 00:44:18,160
Speaker 1: Like I want to tell Nate Silver just like just

833
00:44:18,200 --> 00:44:20,600
Speaker 1: go have a seat, dude, Just go chill for a minute.

834
00:44:20,960 --> 00:44:24,120
Speaker 1: Whatever data you're collecting hasn't been reliable, Like he was

835
00:44:24,239 --> 00:44:27,439
Speaker 1: caught off guard by you know, the presidential election. Who's

836
00:44:27,440 --> 00:44:30,920
Speaker 1: caught off guard by these men terms, Like clearly the

837
00:44:31,480 --> 00:44:35,239
Speaker 1: metrics that you are using aren't taking into account that,

838
00:44:35,360 --> 00:44:39,360
Speaker 1: like shit is not normal. Like we have like a

839
00:44:39,400 --> 00:44:44,680
Speaker 1: weird balance of these independent candidates, these highly democratic candidates

840
00:44:45,000 --> 00:44:49,319
Speaker 1: who see the need for more progressive policies. And it's like, well,

841
00:44:49,320 --> 00:44:52,359
Speaker 1: where did these people? We weren't anticipate them winning. It's like, well,

842
00:44:52,360 --> 00:44:54,600
Speaker 1: when we show up, we win, and they're doing the

843
00:44:54,600 --> 00:44:57,839
Speaker 1: work to make that happen. So how can you put

844
00:44:57,880 --> 00:45:00,680
Speaker 1: things in a traditional frame when and for the last

845
00:45:00,680 --> 00:45:04,360
Speaker 1: two years, we've been living in a dystopia, right, And

846
00:45:04,400 --> 00:45:07,160
Speaker 1: I think Nate Silver. First of all, I think Nate

847
00:45:07,160 --> 00:45:10,120
Speaker 1: Silver gave Trump more of a chance than most people

848
00:45:10,760 --> 00:45:12,759
Speaker 1: in the lead up to the election. But I do

849
00:45:12,880 --> 00:45:16,360
Speaker 1: think that his whole model relies on pulling and pulling

850
00:45:16,640 --> 00:45:20,320
Speaker 1: was you know, super predictable in two thousand, two thousand

851
00:45:20,400 --> 00:45:24,239
Speaker 1: twelve because it was dealing with a known quantity like

852
00:45:24,320 --> 00:45:28,600
Speaker 1: America's enthusiasm America, like how organized Americans were in the

853
00:45:28,640 --> 00:45:33,120
Speaker 1: past hundred presidential There haven't been hundred presidents, but you know,

854
00:45:33,200 --> 00:45:37,040
Speaker 1: the past however, many presidential elections hadn't really changed. And

855
00:45:37,080 --> 00:45:40,280
Speaker 1: it does seem like things are changing on both sides

856
00:45:40,320 --> 00:45:42,680
Speaker 1: in terms of how organized people are going to get,

857
00:45:42,800 --> 00:45:45,680
Speaker 1: how motivated they are going to be to get out

858
00:45:45,719 --> 00:45:50,359
Speaker 1: and vote, or you can't measure people's existential dread. It's like,

859
00:45:50,680 --> 00:45:52,839
Speaker 1: you know, I voted for Trump because I feel like

860
00:45:52,920 --> 00:45:55,839
Speaker 1: my whiteness is at stake, right, And you can't measure that.

861
00:45:56,200 --> 00:45:57,799
Speaker 1: And I think with people who are voting for people

862
00:45:57,800 --> 00:46:01,640
Speaker 1: like Alexandriacazio Cortez and and Drew Gillham, you're not measuring

863
00:46:01,760 --> 00:46:05,520
Speaker 1: Oh wait, there's an existential threat of late stage capitalism

864
00:46:05,520 --> 00:46:08,040
Speaker 1: that is affecting these people, and now they're demanding more

865
00:46:08,080 --> 00:46:10,280
Speaker 1: thyre like you're gonna have to help me with medicare,

866
00:46:10,360 --> 00:46:11,960
Speaker 1: you have to help me with healthcare. You're gonna have

867
00:46:11,960 --> 00:46:14,359
Speaker 1: to help me make a living wage. And those are

868
00:46:14,400 --> 00:46:17,560
Speaker 1: things that for years past, we were sort of coasting

869
00:46:17,640 --> 00:46:20,239
Speaker 1: down and it was harder to realize just how bad

870
00:46:20,239 --> 00:46:22,200
Speaker 1: it was getting. And now it's reaching that sort of

871
00:46:22,239 --> 00:46:25,240
Speaker 1: saturation point where it affects more people than it ever has.

872
00:46:25,480 --> 00:46:27,600
Speaker 1: And now the tune changes sort of like, hey, you

873
00:46:27,640 --> 00:46:29,840
Speaker 1: want a tax cut, it's like, or you want safer

874
00:46:29,920 --> 00:46:32,680
Speaker 1: while it's like I need to go to college, you

875
00:46:32,719 --> 00:46:34,760
Speaker 1: know what I mean, I gotta take care of my kids.

876
00:46:35,120 --> 00:46:37,480
Speaker 1: Like we're not. That's the new thing that I think

877
00:46:37,480 --> 00:46:40,480
Speaker 1: people are not realizing is what is actually speaking to

878
00:46:40,480 --> 00:46:43,040
Speaker 1: people the more they look at their surroundings and the

879
00:46:43,080 --> 00:46:46,799
Speaker 1: resources they have. Yeah, and just the system as it

880
00:46:46,880 --> 00:46:51,800
Speaker 1: existed before signal that that is changing. So I talked

881
00:46:51,800 --> 00:46:55,000
Speaker 1: before about how you know and listening to the Crooked

882
00:46:55,040 --> 00:46:58,440
Speaker 1: Media podcasts, they were talking about how the way that

883
00:46:58,480 --> 00:47:01,120
Speaker 1: you would determine if somebody was like a Bible candidate,

884
00:47:01,160 --> 00:47:04,160
Speaker 1: as you would take their phone, go through their contact

885
00:47:04,200 --> 00:47:06,400
Speaker 1: list and be like Okay, they're good for a hundred

886
00:47:06,440 --> 00:47:09,440
Speaker 1: thousand dollars, they're good for fifty and add up how

887
00:47:09,520 --> 00:47:13,080
Speaker 1: much money they have to break a certain level of

888
00:47:13,120 --> 00:47:17,680
Speaker 1: having enough money in their contact list to get fundraising

889
00:47:17,719 --> 00:47:22,560
Speaker 1: to be a candidate. And Gilham was wildly outspent, you know,

890
00:47:22,640 --> 00:47:26,280
Speaker 1: in the primary. And so, I mean things are changing,

891
00:47:26,400 --> 00:47:29,640
Speaker 1: Like all the conventional wisdom is is going out the

892
00:47:29,840 --> 00:47:33,600
Speaker 1: door because people are just getting out there, they're organizing,

893
00:47:33,600 --> 00:47:35,960
Speaker 1: and you know, it's been a weird bride product of

894
00:47:36,000 --> 00:47:39,000
Speaker 1: Citizens United where we were expecting like all of this

895
00:47:39,160 --> 00:47:41,960
Speaker 1: influx of of dark money and all of this influx

896
00:47:41,960 --> 00:47:45,480
Speaker 1: of corporate money to really kind of dramatically change our elections,

897
00:47:45,600 --> 00:47:49,160
Speaker 1: and it's like they have. But as a reaction to that,

898
00:47:50,400 --> 00:47:55,120
Speaker 1: things have also becoming becoming more focused on grassroots Like, yeah,

899
00:47:55,200 --> 00:47:57,880
Speaker 1: you can go ahead and outspend me, but you don't

900
00:47:57,880 --> 00:48:01,040
Speaker 1: have the manpower and you don't have the plo form

901
00:48:01,080 --> 00:48:03,360
Speaker 1: that's gonna actually make people want to come out and

902
00:48:03,440 --> 00:48:05,839
Speaker 1: vote for you. Yeah, you were just depending upon the

903
00:48:05,920 --> 00:48:09,720
Speaker 1: same thirty percent of the population or of your district

904
00:48:10,000 --> 00:48:13,160
Speaker 1: coming out and voting. And it's like, nope, those rules

905
00:48:13,160 --> 00:48:16,280
Speaker 1: are gone. Those rules are out the door. We're gonna

906
00:48:16,320 --> 00:48:19,480
Speaker 1: bring in young people because they know how important social

907
00:48:19,520 --> 00:48:22,360
Speaker 1: media is, they know how to organize, they know how

908
00:48:22,680 --> 00:48:25,399
Speaker 1: vital it is right now to get involved, and they're

909
00:48:25,480 --> 00:48:28,040
Speaker 1: just beginning their lives, so they look at what's ahead

910
00:48:28,080 --> 00:48:31,319
Speaker 1: more than maybe a baby boomer does and says, holy shit,

911
00:48:31,960 --> 00:48:34,400
Speaker 1: I'm gonna have to contend with this when I'm thirty,

912
00:48:34,400 --> 00:48:37,000
Speaker 1: when i'm forty, when i'm fifty. Much easier to be

913
00:48:37,040 --> 00:48:38,799
Speaker 1: fifty in your fifties and be like, yeah, this is

914
00:48:38,880 --> 00:48:41,480
Speaker 1: it's been fine like this. These kids are aware everyone.

915
00:48:41,600 --> 00:48:43,880
Speaker 1: Younger people are just more aware of, you know, what

916
00:48:43,920 --> 00:48:45,759
Speaker 1: we're actually up against in terms of how we're going

917
00:48:45,800 --> 00:48:48,640
Speaker 1: to make a life for ourselves. Yeah. And Kelly Ward,

918
00:48:49,080 --> 00:48:51,920
Speaker 1: this is just something I was looking for because she

919
00:48:52,120 --> 00:48:55,720
Speaker 1: was the one who had Mike Cernovich on her campaign

920
00:48:55,760 --> 00:48:59,160
Speaker 1: bus and was like saying that the McCain family announcing

921
00:48:59,200 --> 00:49:04,000
Speaker 1: that John McCain was going to stop getting medical treatment

922
00:49:04,320 --> 00:49:08,719
Speaker 1: and basically agreeing to die was like a distraction from

923
00:49:08,760 --> 00:49:12,879
Speaker 1: her campaign. She like they wanted a narrative. Yeah, So

924
00:49:12,920 --> 00:49:17,120
Speaker 1: she got her ass whooped. In the GOP primary, Martha

925
00:49:17,160 --> 00:49:20,000
Speaker 1: McSally got nearly fifty percent of the boat and it

926
00:49:20,080 --> 00:49:23,520
Speaker 1: was a three candidate race. So this is not good

927
00:49:23,520 --> 00:49:27,280
Speaker 1: for Democrats because they definitely wanted to go against Kelly

928
00:49:27,280 --> 00:49:31,080
Speaker 1: Ward and McSally is the more formidable general election opponent.

929
00:49:31,640 --> 00:49:34,480
Speaker 1: But yeah, I guess just she'll have to kind of

930
00:49:34,560 --> 00:49:37,080
Speaker 1: we'll see how much she can appeal to any swing

931
00:49:37,160 --> 00:49:39,040
Speaker 1: voters in that state though, because when you full on

932
00:49:39,080 --> 00:49:42,960
Speaker 1: embraced Trump, because she had to fucking kiss the ring

933
00:49:43,080 --> 00:49:45,680
Speaker 1: wait wagon to that star to get there, and it

934
00:49:45,680 --> 00:49:47,160
Speaker 1: makes it look like a flip flop two because she

935
00:49:47,200 --> 00:49:50,040
Speaker 1: boycotted going to the Republican Convention because she didn't want

936
00:49:50,040 --> 00:49:52,880
Speaker 1: she was like, yo, Trump's garbage. Yeah, and they're all

937
00:49:52,920 --> 00:49:55,800
Speaker 1: willing to hitch to hitch their trailer to that train

938
00:49:56,480 --> 00:49:59,560
Speaker 1: as long as it temporarily. Well, I mean it'll serve

939
00:49:59,560 --> 00:50:01,239
Speaker 1: me in the lunch because I'm getting these Trump voters

940
00:50:01,280 --> 00:50:04,000
Speaker 1: and it's like, I don't think they're really seeing long

941
00:50:04,120 --> 00:50:06,360
Speaker 1: term what that actually is going to do. It was

942
00:50:06,400 --> 00:50:08,680
Speaker 1: kind of like the Tea Party, where like the Tea Party,

943
00:50:08,840 --> 00:50:11,920
Speaker 1: you know, they had these radical uh they had these

944
00:50:12,000 --> 00:50:14,960
Speaker 1: radical candidates who were like really embracing and doubling down

945
00:50:15,000 --> 00:50:17,960
Speaker 1: on all of these awful policies, and yeah, they got

946
00:50:17,960 --> 00:50:22,800
Speaker 1: a handful of guys through, but they were freshmen representatives

947
00:50:22,800 --> 00:50:26,280
Speaker 1: who like who were committed to those policies and couldn't

948
00:50:26,360 --> 00:50:29,319
Speaker 1: make friends with anybody and ended up getting voted out

949
00:50:29,320 --> 00:50:32,520
Speaker 1: the next term. And so you you have the same

950
00:50:32,560 --> 00:50:34,400
Speaker 1: thing where you have all of these people hitching their

951
00:50:34,400 --> 00:50:38,040
Speaker 1: posts to these radical policies. And at the same time,

952
00:50:38,080 --> 00:50:41,319
Speaker 1: because of all these these grassroots activists and because of

953
00:50:41,360 --> 00:50:44,719
Speaker 1: all the networking that is happening to reach voters who

954
00:50:44,760 --> 00:50:47,279
Speaker 1: have never been who have never cast about before, or

955
00:50:47,280 --> 00:50:50,480
Speaker 1: to reengage people who may have registered to vote because

956
00:50:50,840 --> 00:50:53,720
Speaker 1: eight years ago, you know, they believed in Obama's campaign,

957
00:50:53,760 --> 00:50:57,080
Speaker 1: but after that was just kind of like and whatever, uh,

958
00:50:57,239 --> 00:51:01,239
Speaker 1: capturing those people. It's like, you were in for us surprise, baby,

959
00:51:01,480 --> 00:51:06,239
Speaker 1: the you're you're catering to the fringe. You're catering to

960
00:51:06,719 --> 00:51:13,000
Speaker 1: this frothing of white America that will say and do

961
00:51:13,080 --> 00:51:15,920
Speaker 1: anything to keep power. But you're in for a surprise

962
00:51:15,960 --> 00:51:18,000
Speaker 1: when you find out that, like, oh we outnumbered you

963
00:51:18,040 --> 00:51:21,960
Speaker 1: guys were just now discovering a weight to lock arms. Yeah,

964
00:51:22,440 --> 00:51:24,759
Speaker 1: because right now, you look, you can appeal to all

965
00:51:24,760 --> 00:51:26,840
Speaker 1: those Trump boardies you want. You don't see people putting

966
00:51:26,880 --> 00:51:31,640
Speaker 1: boots on the ground for the wall or fucking whatever anything.

967
00:51:31,719 --> 00:51:34,160
Speaker 1: You know, these there's not no one, No one's there

968
00:51:34,160 --> 00:51:36,799
Speaker 1: for that. They're these people like rhetoric. You do see

969
00:51:36,800 --> 00:51:40,239
Speaker 1: people coming out there for living wages and ending just

970
00:51:40,320 --> 00:51:45,200
Speaker 1: completely horribly racist policies of immigration policies or healthcare and

971
00:51:45,239 --> 00:51:47,960
Speaker 1: things like that. You don't have that energy for this nonsense.

972
00:51:48,000 --> 00:51:49,200
Speaker 1: And they should just look at that and be like,

973
00:51:49,440 --> 00:51:52,080
Speaker 1: oh shit, people don't pull up for this stuff. Yeah,

974
00:51:52,120 --> 00:51:53,799
Speaker 1: thank you for bringing that up. So this is a

975
00:51:53,840 --> 00:51:57,279
Speaker 1: reminder for folks, like stop trying to debate and change

976
00:51:57,280 --> 00:51:59,880
Speaker 1: people's minds on Facebook and on Twitter. Stop it. Like

977
00:52:00,000 --> 00:52:02,279
Speaker 1: all of that precious energy is doing like could be

978
00:52:02,320 --> 00:52:05,640
Speaker 1: directed somewhere else to do an order or your community

979
00:52:05,680 --> 00:52:08,840
Speaker 1: that really really needs it. So like we know, because

980
00:52:08,880 --> 00:52:11,640
Speaker 1: we've had these these experiences, you're not going to change

981
00:52:11,680 --> 00:52:15,239
Speaker 1: a compoty's opinion, So stop it. Like just focus on

982
00:52:15,239 --> 00:52:17,440
Speaker 1: one thing that you can do in your community. Focus

983
00:52:17,480 --> 00:52:21,040
Speaker 1: on one thing and like do that one thing with

984
00:52:21,120 --> 00:52:23,960
Speaker 1: other people who want to help. And don't know how

985
00:52:25,960 --> 00:52:28,239
Speaker 1: I do wonder we need to look this up, but

986
00:52:28,280 --> 00:52:32,439
Speaker 1: I wonder what the attendance for Trump rallies has been

987
00:52:32,480 --> 00:52:36,000
Speaker 1: looking like recently I'm sure still pretty solid. Yeah, I mean, look,

988
00:52:36,040 --> 00:52:40,880
Speaker 1: it's like a fucking it's a concert for racist racist

989
00:52:40,920 --> 00:52:43,840
Speaker 1: would stock but to produce our next stump is telling

990
00:52:43,920 --> 00:52:47,160
Speaker 1: us that he was apparently not happy with the attendance

991
00:52:47,280 --> 00:52:53,680
Speaker 1: at the West Virginia rally the judgment day. Well, they

992
00:52:53,760 --> 00:52:58,400
Speaker 1: even looked fucking sad, like they were sort of like this,

993
00:52:59,280 --> 00:53:01,359
Speaker 1: like that, even the people in the background. We usually

994
00:53:01,360 --> 00:53:04,120
Speaker 1: get the most wacky people back there, including the two

995
00:53:04,360 --> 00:53:07,719
Speaker 1: black dudes I screen grab. You don't risk uh that

996
00:53:07,840 --> 00:53:09,560
Speaker 1: they were kind of in the background, people like I

997
00:53:09,600 --> 00:53:12,720
Speaker 1: never saw more sort of like solemn faces with maga

998
00:53:12,760 --> 00:53:15,000
Speaker 1: hats on than on that Tuesday where people just kind

999
00:53:15,040 --> 00:53:18,640
Speaker 1: of like it felt you know this again, but they'll

1000
00:53:18,680 --> 00:53:21,239
Speaker 1: still show up. But that that was a rough day

1001
00:53:21,239 --> 00:53:25,279
Speaker 1: to go on stage. Yeah, so just real briefly, and

1002
00:53:25,320 --> 00:53:28,000
Speaker 1: it's crazy that this is a brief story, but this

1003
00:53:28,080 --> 00:53:31,399
Speaker 1: is basically a story that isn't getting a whole lot

1004
00:53:31,440 --> 00:53:35,000
Speaker 1: of run. But the death toll from Hurricane Maria in

1005
00:53:35,040 --> 00:53:39,640
Speaker 1: Puerto Rico is now close to nine eleven scale and

1006
00:53:39,719 --> 00:53:43,839
Speaker 1: it actually dwarfs Katrina. It's up to two thousand, nine

1007
00:53:43,920 --> 00:53:50,120
Speaker 1: hundred over people. Katrina was one hundred thirty three, and

1008
00:53:50,200 --> 00:53:56,080
Speaker 1: that was a basically administration defining massive funk up that

1009
00:53:56,239 --> 00:54:02,800
Speaker 1: brought about huge changes in the bushop illustration. And it's

1010
00:54:02,840 --> 00:54:06,319
Speaker 1: just crazy that this isn't a bigger deal. Well, you know,

1011
00:54:06,440 --> 00:54:08,880
Speaker 1: I think because it's been a slow burn and the

1012
00:54:09,400 --> 00:54:12,560
Speaker 1: it's been so long for there to be like fully

1013
00:54:12,600 --> 00:54:15,040
Speaker 1: embraced official numbers. I mean, a lot of people on

1014
00:54:15,080 --> 00:54:17,920
Speaker 1: the ground and active is saying, yo, you think sixteen

1015
00:54:17,960 --> 00:54:21,120
Speaker 1: people fucking died like when Trump came was like, you know,

1016
00:54:21,160 --> 00:54:23,880
Speaker 1: now a real disaster like Katrina. Luckily we don't have

1017
00:54:23,920 --> 00:54:26,120
Speaker 1: those numbers, and like you know, a lot of people

1018
00:54:26,120 --> 00:54:28,440
Speaker 1: are saying there are more aggressive estimates that put it

1019
00:54:28,480 --> 00:54:31,759
Speaker 1: close to hundred, not even two thousand, nine seventy five,

1020
00:54:31,760 --> 00:54:33,799
Speaker 1: which is I think that the reason that's coming out

1021
00:54:33,840 --> 00:54:35,920
Speaker 1: now is because the governor of Puerto Rico said, I

1022
00:54:36,000 --> 00:54:38,040
Speaker 1: want to have you know, I think it's George Washington

1023
00:54:38,120 --> 00:54:40,200
Speaker 1: University and a couple of the university's come here doing

1024
00:54:40,200 --> 00:54:42,120
Speaker 1: the analysis and tell me what that actional number is

1025
00:54:42,160 --> 00:54:45,360
Speaker 1: independent right, And then but in the White House was like, okay,

1026
00:54:45,440 --> 00:54:47,680
Speaker 1: that's fine. And that's why we're getting this number now

1027
00:54:47,760 --> 00:54:49,960
Speaker 1: is because the White House did tell them like, Okay,

1028
00:54:50,000 --> 00:54:53,279
Speaker 1: do your analysis, but yeah, it's a shame because you

1029
00:54:53,280 --> 00:54:55,520
Speaker 1: think about, you know, all the money we spend after

1030
00:54:55,600 --> 00:55:00,600
Speaker 1: nine eleven, you know more, Yeah, exactly, and uh, we

1031
00:55:00,640 --> 00:55:03,399
Speaker 1: can't even do right by these American citizens in Puerto Rico.

1032
00:55:04,000 --> 00:55:06,719
Speaker 1: I think it was literally all the money was spent after.

1033
00:55:08,000 --> 00:55:10,680
Speaker 1: It shows a pattern. So like think about Hurricane Harvey,

1034
00:55:10,760 --> 00:55:13,840
Speaker 1: so in Texas, like the amount of money that was

1035
00:55:13,840 --> 00:55:18,240
Speaker 1: spent in emergency funds and compare it to Hurricane Katrina.

1036
00:55:18,360 --> 00:55:21,479
Speaker 1: Compare it to Puerto Rico, compared to literally any place

1037
00:55:21,480 --> 00:55:24,040
Speaker 1: where that's heavily populated with people of color, and you'll

1038
00:55:24,080 --> 00:55:27,239
Speaker 1: notice like we'll send aid for like a minute, we'll

1039
00:55:27,239 --> 00:55:30,600
Speaker 1: send aid for like a second. So like right now

1040
00:55:30,640 --> 00:55:33,640
Speaker 1: in Puerto Rico, there are tons of companies that are

1041
00:55:33,640 --> 00:55:38,200
Speaker 1: trying to come in after the disaster and stake acclaim

1042
00:55:38,760 --> 00:55:44,919
Speaker 1: Naomi claims. It's the smash and grabs exactly, And it's

1043
00:55:44,960 --> 00:55:48,440
Speaker 1: like in one Fell Swoop, they're coming trying to gentrify

1044
00:55:48,480 --> 00:55:52,960
Speaker 1: an entire island. We haven't found a way to really

1045
00:55:53,000 --> 00:55:55,879
Speaker 1: hold the government accountable for those kinds of things. That's like, well,

1046
00:55:55,960 --> 00:55:58,400
Speaker 1: we have elections, and it's like, well, people aren't forget

1047
00:55:58,400 --> 00:56:00,400
Speaker 1: about those things that we move on because our culture

1048
00:56:00,480 --> 00:56:02,880
Speaker 1: is so fast paced and so rapid, Like two thousand

1049
00:56:02,960 --> 00:56:06,840
Speaker 1: eighteen were you know, it's nearly September. It feels like

1050
00:56:06,840 --> 00:56:10,960
Speaker 1: it's lasted a thousand years, Like I am exhausted, but

1051
00:56:11,040 --> 00:56:12,960
Speaker 1: it's like it's word. The year isn't even over. It

1052
00:56:13,040 --> 00:56:16,800
Speaker 1: isn't even up yet. So you see like Hurricane Harvey

1053
00:56:16,880 --> 00:56:20,080
Speaker 1: and like, oh my god, terrible, awful disaster. We need

1054
00:56:20,120 --> 00:56:22,239
Speaker 1: to help, and so average people are pitching in their

1055
00:56:22,280 --> 00:56:25,920
Speaker 1: dollars and then they feel like, well, I've done my

1056
00:56:26,000 --> 00:56:28,560
Speaker 1: part and they can go back to their lives, assuming

1057
00:56:28,640 --> 00:56:31,520
Speaker 1: that the federal government will pick up the pieces and

1058
00:56:31,600 --> 00:56:34,680
Speaker 1: do what they're supposed to do. But they haven't, and

1059
00:56:35,040 --> 00:56:38,319
Speaker 1: it's because they're severely underfunded and they're severely inept and

1060
00:56:38,400 --> 00:56:42,080
Speaker 1: that's been really on purpose. So particularly with her in Kikatria,

1061
00:56:42,080 --> 00:56:44,880
Speaker 1: and like George Bush's appointment to FEMA, like that dude

1062
00:56:45,080 --> 00:56:47,879
Speaker 1: flat out admitted when he was off for the job,

1063
00:56:47,920 --> 00:56:50,399
Speaker 1: like I am not the dude for this, I am

1064
00:56:50,440 --> 00:56:53,840
Speaker 1: not qualified, never run a big I've never run a

1065
00:56:53,880 --> 00:56:58,880
Speaker 1: complex disaster. Man Boy Scout troop before he was Like

1066
00:56:58,920 --> 00:57:01,640
Speaker 1: working with Racehorse is prayer to that. Yeah, exactly, and

1067
00:57:01,680 --> 00:57:03,839
Speaker 1: so you see it over and over and over again

1068
00:57:03,880 --> 00:57:07,160
Speaker 1: where it's well, the government will take care of it,

1069
00:57:07,400 --> 00:57:09,160
Speaker 1: so I can just kind of move on with my life,

1070
00:57:09,160 --> 00:57:12,279
Speaker 1: move on with my my millions of other things that

1071
00:57:12,320 --> 00:57:15,560
Speaker 1: I'm worried about because I'm probably not making enough money.

1072
00:57:15,560 --> 00:57:18,000
Speaker 1: I'm probably not I'm already stressed out all the other

1073
00:57:18,080 --> 00:57:22,240
Speaker 1: daily life stresses. So it's like both Democrats and Republicans

1074
00:57:22,280 --> 00:57:24,959
Speaker 1: have done this where they've put incompetent people in place

1075
00:57:24,960 --> 00:57:27,720
Speaker 1: of government, and then when it doesn't work, it's the

1076
00:57:27,760 --> 00:57:29,840
Speaker 1: Republicans who have flat outside like we'll see, this is

1077
00:57:29,840 --> 00:57:31,480
Speaker 1: why government doesn't work. This is why we have to

1078
00:57:31,520 --> 00:57:33,920
Speaker 1: hand it over to corporations so that they can handle

1079
00:57:33,960 --> 00:57:36,040
Speaker 1: things because they're much more effective. And then they're much

1080
00:57:36,040 --> 00:57:40,120
Speaker 1: more efficient because they have a profit motive. It's a

1081
00:57:40,200 --> 00:57:44,640
Speaker 1: way too, I think, in really bad faith, dismantle the government,

1082
00:57:45,120 --> 00:57:47,880
Speaker 1: and it's like leaving people out in the cold intentionally

1083
00:57:48,200 --> 00:57:50,360
Speaker 1: so that way you can give more money to people

1084
00:57:50,360 --> 00:57:53,040
Speaker 1: who are already well, just sabotage it and then let again,

1085
00:57:53,080 --> 00:57:55,600
Speaker 1: you know, pick apart the carcass of what was once

1086
00:57:55,680 --> 00:57:57,840
Speaker 1: left of like what the government used to do, especially

1087
00:57:57,880 --> 00:58:00,560
Speaker 1: when they be in selling off these kinds of things. Yeah,

1088
00:58:00,560 --> 00:58:05,080
Speaker 1: I don't know, it's the show. I think, you know,

1089
00:58:05,080 --> 00:58:06,480
Speaker 1: a lot of it has to do too, especially when

1090
00:58:06,480 --> 00:58:08,720
Speaker 1: you look at the president. The race plays into that

1091
00:58:08,880 --> 00:58:11,000
Speaker 1: in a very poignant way to like you could tell

1092
00:58:11,040 --> 00:58:13,360
Speaker 1: when he was saying everything about the mayor of San Juan,

1093
00:58:13,600 --> 00:58:15,480
Speaker 1: just like had all this ship to say about her.

1094
00:58:15,880 --> 00:58:18,360
Speaker 1: And you know, you look at a bunch of brown

1095
00:58:18,400 --> 00:58:21,680
Speaker 1: people and try and act like they're not Americans, that's

1096
00:58:21,680 --> 00:58:23,680
Speaker 1: a clear sign to where it's like, yeah, like you know,

1097
00:58:23,760 --> 00:58:26,120
Speaker 1: Katrina was a little bit it's a little bit different

1098
00:58:26,120 --> 00:58:28,520
Speaker 1: than there was it was in the mainland or whatever.

1099
00:58:28,560 --> 00:58:31,000
Speaker 1: But because it's a commonwealth, they just go, oh yeah, well,

1100
00:58:31,040 --> 00:58:33,320
Speaker 1: you know, it's it's not on there. They can't really vote,

1101
00:58:33,520 --> 00:58:35,680
Speaker 1: so yeah, and it's not like they were even in

1102
00:58:35,720 --> 00:58:37,720
Speaker 1: a financial position that they would be able to take

1103
00:58:37,760 --> 00:58:40,000
Speaker 1: care of themselves because of all the amount of debt

1104
00:58:40,040 --> 00:58:43,920
Speaker 1: that they've been saddled with intentionally. So it's like you

1105
00:58:43,920 --> 00:58:48,400
Speaker 1: you've put people in an economically rough situation and disaster

1106
00:58:48,520 --> 00:58:50,480
Speaker 1: happens and it's like, well, we can't take care of this.

1107
00:58:50,600 --> 00:58:52,440
Speaker 1: We're depending on the government to help us out. We're

1108
00:58:52,440 --> 00:58:55,160
Speaker 1: depending on everyday citizens to help us out. When all

1109
00:58:55,200 --> 00:58:57,840
Speaker 1: of those things fail, it's like, well the corporation comes

1110
00:58:57,880 --> 00:59:01,880
Speaker 1: in and saves today. Well I've got you and rinse,

1111
00:59:02,000 --> 00:59:06,040
Speaker 1: you know, repeat. And instead of having Kanye West saying

1112
00:59:06,080 --> 00:59:08,680
Speaker 1: George Bush doesn't care about black people, we have Kanye

1113
00:59:08,680 --> 00:59:12,240
Speaker 1: West talking about how his sandals were actually inspired by

1114
00:59:12,320 --> 00:59:15,439
Speaker 1: Japanese passion. Well that's where we are. What did he say?

1115
00:59:15,680 --> 00:59:17,280
Speaker 1: He did you say? He clarified what he said on

1116
00:59:17,360 --> 00:59:19,439
Speaker 1: Kimmel like when he's asked him, He's like, you said,

1117
00:59:19,440 --> 00:59:21,400
Speaker 1: George Bush doesn't care about black people. Was like, what

1118
00:59:21,440 --> 00:59:23,200
Speaker 1: do you think about don't you think a yeah? And

1119
00:59:23,240 --> 00:59:27,480
Speaker 1: he was like he just paused. They went to commercial

1120
00:59:27,520 --> 00:59:29,560
Speaker 1: and they never brought it back up. So you know

1121
00:59:29,600 --> 00:59:32,320
Speaker 1: when you like stumble and then like kind of break

1122
00:59:32,320 --> 00:59:35,080
Speaker 1: into a jug because and actually meant to stumble and

1123
00:59:35,080 --> 00:59:38,200
Speaker 1: you were breaking into a dug. So he basically broke

1124
00:59:38,240 --> 00:59:41,520
Speaker 1: into a jug two weeks later because he came a

1125
00:59:41,560 --> 00:59:44,880
Speaker 1: second yeah, he was like, yeah, I mean what I

1126
00:59:44,920 --> 00:59:48,000
Speaker 1: meant to say was two weeks later on a radio

1127
00:59:48,040 --> 00:59:50,960
Speaker 1: show he basically said and what he said didn't explain anything.

1128
00:59:51,000 --> 00:59:54,000
Speaker 1: He was like, I think basically he has such a

1129
00:59:54,000 --> 00:59:56,400
Speaker 1: big ego that he wants black people to like him.

1130
00:59:56,920 --> 00:59:59,880
Speaker 1: It's like, yeah, I don't think he cared, was his answer.

1131
01:00:00,200 --> 01:00:02,360
Speaker 1: That was his answer though, That was what like, he

1132
01:00:02,400 --> 01:00:05,240
Speaker 1: cares what black people think about him because he has

1133
01:00:05,280 --> 01:00:08,160
Speaker 1: a big ego. He says, like the rest of Kanye

1134
01:00:08,240 --> 01:00:12,960
Speaker 1: cares what black people. Wait, So if by that logic,

1135
01:00:13,040 --> 01:00:15,400
Speaker 1: what the funk has Donald Trump done to try and

1136
01:00:15,440 --> 01:00:18,440
Speaker 1: appeal to people of color other than bring out diamond

1137
01:00:18,440 --> 01:00:23,600
Speaker 1: and silk? Yeah? Exactly, Yeah, Central Park five people not

1138
01:00:23,840 --> 01:00:25,360
Speaker 1: renting apartment in this to them? Is that to be

1139
01:00:25,360 --> 01:00:27,800
Speaker 1: able to black people? I don't. I really don't. Man,

1140
01:00:27,840 --> 01:00:30,640
Speaker 1: for Connie's shut the funk up, bro, Just go go

1141
01:00:30,760 --> 01:00:33,280
Speaker 1: figure your fucking self out and stop trying to act

1142
01:00:33,320 --> 01:00:35,720
Speaker 1: like the way you wore those young ass sandals was

1143
01:00:35,840 --> 01:00:39,400
Speaker 1: Japanese style, because as a black and ease person, I

1144
01:00:39,480 --> 01:00:43,040
Speaker 1: know that is a lie. My man, Uh, the Zodi

1145
01:00:43,160 --> 01:00:45,880
Speaker 1: style sandal you put put on that tweet, he was

1146
01:00:45,920 --> 01:00:49,480
Speaker 1: like Japanese style, man, that is meant that's like that's

1147
01:00:49,520 --> 01:00:53,080
Speaker 1: intentionally worn like that where you know, like there are

1148
01:00:53,080 --> 01:00:54,520
Speaker 1: two ways to wear a Zodie. You could put it

1149
01:00:54,560 --> 01:00:56,560
Speaker 1: all the way on which your heels still on there

1150
01:00:56,800 --> 01:00:58,200
Speaker 1: or if you want to be a little more swagger,

1151
01:00:58,240 --> 01:01:00,000
Speaker 1: you act like you got the heel coming off the side.

1152
01:01:00,400 --> 01:01:03,000
Speaker 1: But those are also you know that they're made to

1153
01:01:03,120 --> 01:01:06,720
Speaker 1: fit your foot. What he had or tiny sandals and

1154
01:01:07,360 --> 01:01:10,680
Speaker 1: heals it dangling off the back. So again, because his ego,

1155
01:01:10,720 --> 01:01:13,360
Speaker 1: he was probably like, somebody find me a fashion wave

1156
01:01:13,600 --> 01:01:16,120
Speaker 1: that I can say I was riding. Why I was

1157
01:01:16,160 --> 01:01:19,160
Speaker 1: probably he probably had the prototypes. They came too small,

1158
01:01:19,160 --> 01:01:20,960
Speaker 1: but he still onto flex and then he had to

1159
01:01:20,960 --> 01:01:22,680
Speaker 1: go with the young ass sandals. But I think it's

1160
01:01:22,720 --> 01:01:25,120
Speaker 1: even simpler than that. So, like, Kanye is a dude.

1161
01:01:25,120 --> 01:01:27,000
Speaker 1: While his mom was still alive, like you know, he

1162
01:01:27,040 --> 01:01:30,320
Speaker 1: was very open about like his bipolar disorder and how

1163
01:01:30,360 --> 01:01:31,920
Speaker 1: his mom kind of kept him in check because it's like,

1164
01:01:32,000 --> 01:01:34,160
Speaker 1: you know, did you pray to Jesus today? Baby? Like?

1165
01:01:34,520 --> 01:01:38,800
Speaker 1: And so when she died and his career like blew

1166
01:01:38,920 --> 01:01:41,600
Speaker 1: the funk up. You see it with a lot of

1167
01:01:41,600 --> 01:01:45,360
Speaker 1: celebrities where it's like, who's gonna tell Kanye no, he's

1168
01:01:45,360 --> 01:01:48,840
Speaker 1: a he's a millionaire who like says what he wants,

1169
01:01:48,840 --> 01:01:50,880
Speaker 1: does what he wants, and he's surrounded by people who

1170
01:01:50,880 --> 01:01:54,840
Speaker 1: were just enabling him. He specifically this actually showed a

1171
01:01:54,840 --> 01:01:57,800
Speaker 1: lot of, you know, self awareness. He blamed the whole

1172
01:01:57,840 --> 01:02:03,320
Speaker 1: thing on his former manager, Doncy, not being around. He

1173
01:02:04,040 --> 01:02:08,240
Speaker 1: basically said the downfall of Kanye West, referring to himself, emparsing,

1174
01:02:08,360 --> 01:02:11,360
Speaker 1: So we know it's Kanye is directly related to Doncy

1175
01:02:11,480 --> 01:02:14,760
Speaker 1: not being around, he said, fighting back tears. So yeah,

1176
01:02:14,800 --> 01:02:17,160
Speaker 1: he doesn't. He doesn't have people there who can tell

1177
01:02:17,200 --> 01:02:19,600
Speaker 1: we're looking out for him to fight the paparazzi with him. Yeah,

1178
01:02:19,760 --> 01:02:22,400
Speaker 1: that's who do remember that whole ship went went down

1179
01:02:22,400 --> 01:02:25,640
Speaker 1: with the paparazzi fight. That was with Doncy, his tour manager. Yeah,

1180
01:02:25,880 --> 01:02:28,120
Speaker 1: you know, hopefully finding some friends. You know, if you

1181
01:02:28,160 --> 01:02:30,240
Speaker 1: don't have a friend, all of your friends at one

1182
01:02:30,240 --> 01:02:32,680
Speaker 1: point should say to you, yo, shut the funk up,

1183
01:02:32,920 --> 01:02:35,160
Speaker 1: right if you don't hear that a lot. And that

1184
01:02:35,240 --> 01:02:37,720
Speaker 1: was really telling about the TMZ tape right where that

1185
01:02:37,800 --> 01:02:40,560
Speaker 1: dude just like he was straight with him. It's like, hey, man,

1186
01:02:40,680 --> 01:02:43,840
Speaker 1: like here's how you're sucking up and immediately had that

1187
01:02:44,000 --> 01:02:47,800
Speaker 1: light bulb but you saw it. Oh my god, right,

1188
01:02:47,960 --> 01:02:52,280
Speaker 1: I'm fucking yeah, Derek, it's been a pleasure of having

1189
01:02:52,280 --> 01:02:54,560
Speaker 1: you man, Thank you so much. Yeah, this has been great.

1190
01:02:54,600 --> 01:02:58,920
Speaker 1: Where can people find you, follow you Twitter at my

1191
01:02:59,040 --> 01:03:04,080
Speaker 1: name Derek most uh L E M O s U, Instagram, Facebook,

1192
01:03:04,160 --> 01:03:07,200
Speaker 1: all the social media stuff. Um my website just launched

1193
01:03:07,880 --> 01:03:11,080
Speaker 1: Derek Almos dot com. I've got some podcast projects on

1194
01:03:11,120 --> 01:03:15,800
Speaker 1: the pipeline. Nice And is there a tweet you've been enjoying? Yes? So?

1195
01:03:16,040 --> 01:03:23,040
Speaker 1: Um At Instant Sunrise they did a firestorm thread of

1196
01:03:23,200 --> 01:03:27,680
Speaker 1: every US president talking about how they ship. Oh yeah,

1197
01:03:28,000 --> 01:03:30,320
Speaker 1: that is like a thread and I was like, whoa

1198
01:03:31,200 --> 01:03:35,600
Speaker 1: George General? And I was like, yeah, that was exactly

1199
01:03:35,600 --> 01:03:37,800
Speaker 1: what it was. And you know, for anybody who's not like,

1200
01:03:38,280 --> 01:03:40,880
Speaker 1: I'm sure your listeners are pretty sappy, but like you

1201
01:03:40,960 --> 01:03:42,720
Speaker 1: see over and over and over and over and over again,

1202
01:03:42,800 --> 01:03:47,080
Speaker 1: just how ingrained big business has been with with presidential elections,

1203
01:03:47,640 --> 01:03:51,320
Speaker 1: and it's like, this is exactly why you guys have

1204
01:03:51,440 --> 01:03:53,680
Speaker 1: to get involved. Like I can't stress it enough, Like yeah,

1205
01:03:53,680 --> 01:03:56,160
Speaker 1: our president saying ship but and we can do better,

1206
01:03:56,440 --> 01:03:59,800
Speaker 1: but y'all gotta make it happen. The power does rest

1207
01:03:59,880 --> 01:04:03,640
Speaker 1: with people. Just got to realize that power. Miles where

1208
01:04:03,640 --> 01:04:05,840
Speaker 1: can people find you? You can find me and follow

1209
01:04:05,920 --> 01:04:11,000
Speaker 1: me at Miles of Gray on Twitter and Instagram. There

1210
01:04:11,000 --> 01:04:14,240
Speaker 1: are two tweets that are like one is from our

1211
01:04:14,360 --> 01:04:18,160
Speaker 1: boy Mr Brody read he put c K talking about

1212
01:04:18,240 --> 01:04:20,880
Speaker 1: Luis c K emboldened hundreds of white guys to tell

1213
01:04:20,960 --> 01:04:23,600
Speaker 1: jokes about their dicks at open mics, and for that alone,

1214
01:04:23,640 --> 01:04:27,400
Speaker 1: he should be banished indefinitely. And another one is from

1215
01:04:27,440 --> 01:04:30,240
Speaker 1: at Cup of Chino caught on the Hot Rocks. He said,

1216
01:04:30,240 --> 01:04:31,920
Speaker 1: why do so many people in here think someone watching

1217
01:04:31,920 --> 01:04:34,080
Speaker 1: your Instagram story means anything more than they were bored

1218
01:04:34,080 --> 01:04:37,480
Speaker 1: on the toilet. That's true because that's when I the

1219
01:04:37,520 --> 01:04:40,800
Speaker 1: stories are active, when I'm got the squatty potty activity

1220
01:04:41,520 --> 01:04:44,120
Speaker 1: you live in. Oh my God changed my life. Game

1221
01:04:44,200 --> 01:04:46,840
Speaker 1: Chamber changed my life went from a fu forty five

1222
01:04:46,840 --> 01:04:52,240
Speaker 1: minutes and shitter to because I like to watch the

1223
01:04:52,280 --> 01:04:55,400
Speaker 1: Instagram stories. But yes, it's a yo. I'm I can't

1224
01:04:55,400 --> 01:04:59,720
Speaker 1: say too much because they don't sponsor the show. By god, Lee,

1225
01:05:00,160 --> 01:05:05,040
Speaker 1: it helps. So if I stopped watching your Instagram stories

1226
01:05:05,080 --> 01:05:07,280
Speaker 1: like a month or two ago, that means you were

1227
01:05:07,320 --> 01:05:11,160
Speaker 1: in the fifth the minute of his Instagram that I'm

1228
01:05:11,160 --> 01:05:15,240
Speaker 1: really backed up. Yeah yeah. My tweet is from Karen

1229
01:05:15,280 --> 01:05:20,920
Speaker 1: kill Gareff. Just very simple, what a time to be inside? Uh?

1230
01:05:21,160 --> 01:05:25,280
Speaker 1: I like and agree with that sentiment. Uh, You can

1231
01:05:25,320 --> 01:05:28,520
Speaker 1: follow me on Twitter at Jack Underscore O'Brien. You can

1232
01:05:28,600 --> 01:05:31,440
Speaker 1: follow us on Twitter at Daily Zeitgeist. We're at the

1233
01:05:31,600 --> 01:05:34,160
Speaker 1: Daily Zeykeeis on Instagram. We have a Facebook fan page

1234
01:05:34,200 --> 01:05:37,440
Speaker 1: and a website, Daily zikeeis dot com, where we post

1235
01:05:37,520 --> 01:05:40,400
Speaker 1: our episodes. In our foot note, we link off to

1236
01:05:40,480 --> 01:05:43,400
Speaker 1: the information that we talked about in today's episode, as

1237
01:05:43,400 --> 01:05:45,520
Speaker 1: well as the song we write out on. You can

1238
01:05:45,520 --> 01:05:49,600
Speaker 1: also find the foot notes in the episode description Miles,

1239
01:05:49,640 --> 01:05:51,800
Speaker 1: what song are we getting write off on today? Okay,

1240
01:05:51,840 --> 01:05:54,640
Speaker 1: so you know Trump was really out here and trying

1241
01:05:54,640 --> 01:05:58,840
Speaker 1: to get the evangelical in line warning of a fire

1242
01:05:58,880 --> 01:06:02,480
Speaker 1: and brimstone. Uh, you know liberals get their way of quality.

1243
01:06:02,680 --> 01:06:04,560
Speaker 1: Oh my god, that would be a funny, awful thing.

1244
01:06:05,040 --> 01:06:07,480
Speaker 1: So this track is actually from Death from Above. It's

1245
01:06:07,480 --> 01:06:09,959
Speaker 1: from their new album. It's called Holy Books, a little

1246
01:06:09,960 --> 01:06:12,600
Speaker 1: bit of a commentary on you know, our holy books

1247
01:06:12,600 --> 01:06:15,320
Speaker 1: and the ghosts we call our friends. So yeah, this

1248
01:06:15,440 --> 01:06:17,320
Speaker 1: is definitely and I can send me night one of

1249
01:06:17,320 --> 01:06:20,720
Speaker 1: my favorite just like power duos because it's just drums

1250
01:06:21,040 --> 01:06:23,880
Speaker 1: and bass and my goodness, the way he got that

1251
01:06:24,000 --> 01:06:27,800
Speaker 1: am Peck, Dan Armstrong, Clear, loose Sight, basses, banging it's

1252
01:06:27,840 --> 01:06:31,880
Speaker 1: a it's a site to behold and a sound to behold. Alright,

1253
01:06:31,880 --> 01:06:33,640
Speaker 1: we're gonna write out on that. We will be back

1254
01:06:33,680 --> 01:06:36,080
Speaker 1: tomorrow because it is a daily podcast. We'll talk to

1255
01:06:36,200 --> 01:07:06,280
Speaker 1: get them. Please Cloris lower when you choose to fun

1256
01:07:06,680 --> 01:07:28,160
Speaker 1: cars to cart the same songs key, nor say she

1257
01:07:28,480 --> 01:07:37,560
Speaker 1: was again kind of I don't know you don't say

1258
01:07:37,680 --> 01:07:52,680
Speaker 1: she wants a kind of a side shooting as a

1259
01:07:52,920 --> 01:08:10,680
Speaker 1: star claw call yeah the slash sounds and never stop

1260
01:08:12,080 --> 01:09:24,600
Speaker 1: the say so to keep down. Hi fi believe m h.

1261
01:09:33,320 --> 01:09:38,240
Speaker 1: I don't go for the home pay books, don't say

1262
01:09:38,320 --> 01:09:43,960
Speaker 1: your loves it ain't try no looks. I don't know

1263
01:09:44,560 --> 01:09:53,040
Speaker 1: pay books, don't say your losing trt, no loans, go

1264
01:09:53,320 --> 01:09:58,880
Speaker 1: to the Holy books. Don't say she loves ain't got

1265
01:09:58,960 --> 01:10:07,839
Speaker 1: no loss, I don't don't, don't, don't say it lasting.

1266
01:10:08,240 --> 01:10:24,519
Speaker 1: God knows not a word