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Speaker 1: Hello the Internet, and welcome to this episode of The

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Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments

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Speaker 1: from this week, all edited together into one NonStop infotainment

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Speaker 1: laugh stravaganza. Uh yeah, So, without further ado, here is

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Speaker 1: the Weekly Zeitgeist. Really, what's something you think is underrated? Um?

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Speaker 1: I think I underrated is plants and flowers in your home. Um.

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Speaker 1: I didn't realize how nice it is to have another

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Speaker 1: living thing in my home besides me. Uh, it's really done.

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Speaker 1: I used to think, like for me, like a plant

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Speaker 1: like a baby. So I was like, I can't get

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Speaker 1: pregnant with a plant yet I'm not responsible enough. The

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Speaker 1: plant baby will die. Um, and I'm not trying to

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Speaker 1: experience that trauma. So I hadn't done it. But now

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Speaker 1: that I've been in my house for so long, I

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Speaker 1: was like, I should get some plants and some stuff

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Speaker 1: in here. And it really has like kind of right

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Speaker 1: in my mood, if that makes sense. Like, do you

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Speaker 1: guys have plants in your homes? I still don't trust myself.

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Speaker 1: I have animals, but I don't trust myself with a plant.

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Speaker 1: Animals at the plants don't make noise when you don't

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Speaker 1: like them. Yeah. Yeah, that's my fear. Is that the

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Speaker 1: alert system you're caton right now, there's like where yeah,

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Speaker 1: I'm not responsible enough to keep plants from dying, but

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Speaker 1: it doesn't stop me from trying. How is being a

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Speaker 1: plant parent? Um? It does make me feel better than people.

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Speaker 1: So thank you guys for not owning plants, because now

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Speaker 1: I feel just the superiority of owning a plant. Um.

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Speaker 1: Some of us, you know, create nature. Others cannot. Um.

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Speaker 1: You know, like God created the heaven and the earth.

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Speaker 1: I created one plant. No, it's good. It's still very early,

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Speaker 1: so you know, anything could happen. Don't ask me about

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Speaker 1: this plant the next time that I come on this show,

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Speaker 1: because I don't know if it's good. It sounds like

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Speaker 1: a Tinder relationship now to where you're like, so far,

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Speaker 1: so good. But you know, yeah, I want to talk

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Speaker 1: about this John Amici study, the former NBA player and organizer.

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Speaker 1: UM was talking about the study where they basically sent

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Speaker 1: a questionnaire to ten thousand respondents from white collar environments

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Speaker 1: to ask the question of like, what are the traits

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Speaker 1: that they associate with black people? And the answers for

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Speaker 1: themselves are like beautiful, strong, athletic, proud, music, sports, uh So,

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Speaker 1: as he points out, not exactly a broad swath of ideas,

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Speaker 1: but at least it's not negative. But then he pointed

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Speaker 1: out that when you ask those same ten thousand people,

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Speaker 1: what do you think other people associate with black people,

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Speaker 1: the answers became criminal, athletic, poor, inferior, uneducated, gangs, dangerous

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Speaker 1: uh And he was pointing out that they haven't found

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Speaker 1: those other people yet, it's just the people who are

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Speaker 1: answering the questions all giving themselves credit for having the

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Speaker 1: still stereotypical but positive, uh not racist view, but assuming

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Speaker 1: that out there in other people there exists these like

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Speaker 1: very you know, overtly racist ideas. And it just reminded

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Speaker 1: me of that um Sony email hack leak that I

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Speaker 1: bring it up a lot, but it's always like stuck

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Speaker 1: in my head. This uh Sony executive who was arguing

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Speaker 1: that they shouldn't green light Denzel Washington's equalizer too, and

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Speaker 1: he said, uh, I'm not saying the equalizers should not

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Speaker 1: have been made or that African American actors should not

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Speaker 1: have been used. I personally think Denzel Washington is the

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Speaker 1: best actor of his generation. So whatever he says next

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Speaker 1: will not be racist, casting hern is saying we're okay

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Speaker 1: with a double uh and not a home run, basically

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Speaker 1: is what he said, and then he blames it on

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Speaker 1: international audiences being racist. I just think that that is

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Speaker 1: a more prevalent dynamic than a lot of white people

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Speaker 1: realize the idea that, well, it's out there, other people

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Speaker 1: are racist, and that's just the reality that I'm dealing with.

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Speaker 1: But I'm one of the good ones. And it's just

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Speaker 1: that is upholding systemic racism and systemic white supremacy just

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Speaker 1: as much when you're just assuming that in other people. Yeah,

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Speaker 1: to be clear, when you center whiteness, you are centering

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Speaker 1: whiteness like you, especially if you are in a position

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Speaker 1: of power. You know, I've been a stand up comic

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Speaker 1: for a long time, and I am acutely aware that,

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Speaker 1: like when I tell jokes in front of an audience, um,

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Speaker 1: almost of the time, I am telling jokes even though

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Speaker 1: they're they're black jokes. I'm telling them to a white audience,

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Speaker 1: to a white um like palette um, even if they're

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Speaker 1: from my perspective. There too, that white perspective, and the

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Speaker 1: people who are in charge of like making decisions of

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Speaker 1: like getting things on TV and putting movies out and

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Speaker 1: distributing them. Like they are very acutely aware that globally

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Speaker 1: it's accepted that the Western world is white um. Like

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Speaker 1: a lot of foreign countries when they think of foreigners,

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Speaker 1: they don't think of UM. They don't think of like

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Speaker 1: a large multi cultural like swap. They think of white

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Speaker 1: people like first. And the only way that's going to

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Speaker 1: change is if people actually um make us stand against

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Speaker 1: it um or else. It's just like, I just think

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Speaker 1: it's a shame that like in the entire course of

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Speaker 1: like human history, Like we've had the film industry for

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Speaker 1: like a little over a hundred years and it's been

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Speaker 1: centered in whiteness that whole time. You know, if an

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Speaker 1: asteroid crashes into the earth and we only ever got

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Speaker 1: to center whiteness, I think that be pretty sad. So

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Speaker 1: do better. You listen to this in black and white.

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Speaker 1: Even the things that they were associating right, like athletic music, sports,

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Speaker 1: those are because those are actually places black people have

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Speaker 1: been able to center themselves in just off of merit

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Speaker 1: off because the art was good enough, because the skill

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Speaker 1: was good enough to be the best. And it's not

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Speaker 1: moving like to your point even saying they're not saying

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Speaker 1: movies or books or other things. Um, and I think

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Speaker 1: it's interesting too, just like what you're saying Jack, psychologically

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Speaker 1: of like imagine like even if you're at a party,

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Speaker 1: right and people were telling like embarrassing stories and you

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Speaker 1: know you had one that happened to you that was

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Speaker 1: so embarrassing, but but you know it's like, well they

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Speaker 1: don't know me. I can say this happened to somebody else,

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Speaker 1: and I'll do that to shield myself from fully owning

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Speaker 1: the embarrassment of this moment. And it still has the

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Speaker 1: effect of me telling somebody an actual moment that happened

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Speaker 1: that they can recognize happen to somebody else. It's like

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Speaker 1: the same way you could do that was saying like,

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Speaker 1: well what do you think and it's like, okay, this

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Speaker 1: is what I think black people would be there, beautiful, strong, athletic.

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Speaker 1: Now what do you think other people? Well, I think

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Speaker 1: other people probably think that they're dangerous, will probably mug you,

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Speaker 1: or like this one guy at the gym like maybe

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Speaker 1: might be looking at your butt all the time. Um

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Speaker 1: and I'm sorry what was that last one? Like it

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Speaker 1: does allow this sort of like psychological your defense mechanisms

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Speaker 1: to come down when you're starting to frame things in

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Speaker 1: the context of another person. But somehow, like a lot

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Speaker 1: more negative stuff comes out because you're offered this distance

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Speaker 1: or separation from those I'm gonna try that on people

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Speaker 1: like date, Try that on people you date. Yeah, what

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Speaker 1: do you think other girls would think? Complain about me?

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Speaker 1: That's literally? Uh So that interview with John Amici happened

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Speaker 1: on like a Life Coaches uh podcast, I think, and

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Speaker 1: uh the life coach was like, that's who I don't

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Speaker 1: generally give life coaches. That's not where I get most

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Speaker 1: of my psychological studies from. But the person was saying

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Speaker 1: that they actually ask people like to get a sense

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Speaker 1: of what they think. They ask people what they think

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Speaker 1: other people think, because that's like where you get the

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Speaker 1: unguarded truth from people. Yeah, I'm gonna trick some people

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Speaker 1: in my life and to saying something because it's also

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Speaker 1: to like, you know what, actually I think about that too.

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Speaker 1: If like I've been critical of like a personal friends work,

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Speaker 1: I've used the defense, but you know, like some people say,

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Speaker 1: because I don't want to be like yo, this is trash,

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Speaker 1: I'm gonna be really this is trash. This trash. I

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Speaker 1: just don't think people will get it. Yeah, yeah, right,

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Speaker 1: right right, And I do. I think you're the greatest

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Speaker 1: yet artist of our generation. If I saw this and

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Speaker 1: I didn't know you, and if I weren't friends with you,

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Speaker 1: I would also still think that this is good. But

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Speaker 1: I'm saying that other people the same thing. Yeah. We

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Speaker 1: always have to preserve ourselves or we never want to

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Speaker 1: come off as the you know, the bad guy, whatever

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Speaker 1: that is, whether that's bad for being honest or objectively

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Speaker 1: bad because you have really you know, shitty racist ideas

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Speaker 1: in your head. What is something from your search history

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Speaker 1: that is revealing about who you are? I um recently

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Speaker 1: searched to find who was the costume designer on the

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Speaker 1: movie Hackers. That movie I recently watched for the first

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Speaker 1: time on VHS You're Welcome, uh, and it was life changing,

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Speaker 1: one of the best movies I've ever seen in terms

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Speaker 1: of how advanced all of the costumes are. And also

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Speaker 1: I have never screamed so much watching a movie because

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Speaker 1: everything they were saying made no sense. It's like when

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Speaker 1: you watch cable news and people say stuff and you're

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Speaker 1: just like, what, so what When you say, they're clothes

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Speaker 1: are wearing are advanced, Like what do you mean by that? Okay,

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Speaker 1: So it's it's it's hard to describe, but basically in

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Speaker 1: the movie it is it is about number one. Matthew

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Speaker 1: Lillard's costumes in that movie are the best things. So

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Speaker 1: Matthew Lillard plays this like, yeah, Pek Lillard, teen hacker.

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Speaker 1: He's he's got like shoulder length hair and he's wearing

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Speaker 1: it in four braids. So they they're like the size

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Speaker 1: of pigtails. But there's four of them around his head.

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Speaker 1: But they're not they're not like braids braids. They're not

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Speaker 1: like little braids. They're just four He's just got four

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Speaker 1: braids on his head. Braids. They're just braids. And there

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Speaker 1: is another hacker who the first time you see him

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Speaker 1: is wearing two separate leopard print items. He's wearing a

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Speaker 1: leopard print top and he's wearing leopard print pants. There's

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Speaker 1: a lot of chains. Um. Matthew Lillard wears a lot

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Speaker 1: of like really, oh my god. At one point, Matthew

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Speaker 1: Lillard wears a sweater vest that that is the lou

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Speaker 1: Reed Transformer sweater, but the top is like glittery and

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Speaker 1: scalloped and he wears that, and then he wears a

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Speaker 1: belt that has a rag doll on it for no

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Speaker 1: reason connected just hanging from it, just on the belt.

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Speaker 1: Most of Matthew Lillard costumes, I would say, in this

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Speaker 1: movie way at least thirty pounds, Like yeah, but then

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Speaker 1: he's also wearing these like paper thin, paper thin tank

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Speaker 1: tops a lot. But then his pants are like extremely

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Speaker 1: weighed down. It's and also, oh my god, Angelia and

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Speaker 1: Jolie in this movie, please like, she wears the coolest

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Speaker 1: fucking biker jacket I've ever seen. At one point she

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Speaker 1: wears like, um uh, just an all white everybody is

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Speaker 1: wearing like O'Neil sport tops in this you know, like

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Speaker 1: the rash guard. She's wearing rash guards the whole movie.

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Speaker 1: I mean one of the tiny glasses, tiny little glasses.

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Speaker 1: Angelina Jolie. When this movie came out, she was speaking

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Speaker 1: very young. Yeah, there we did. We We for some

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Speaker 1: reason did a Bechtel cast on this episode. I know why.

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Speaker 1: It was because my birthday. It was my birthday and

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Speaker 1: I wanted to uh. But the line that always sticks

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Speaker 1: with me, Like there's so many corny lines, but the

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Speaker 1: line that It's like there is no right or wrong.

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Speaker 1: There's only fun and boring hacks the planet, hack the planet, baby,

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Speaker 1: and you like that because it completely defines your generation. Right,

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Speaker 1: this is yeah, thatsolutely shaped by this. Um. There's one

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Speaker 1: point where Um, the main character whose name is Dade Uh,

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Speaker 1: gets an emailsh override crash override a k A zero

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Speaker 1: cool Um. He gets so there's this like FBI agent

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Speaker 1: who's trying to get him to be a hacker for

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Speaker 1: the FBI or whatever, and he sends Date an email.

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Speaker 1: But but he doesn't just send him an e mail

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Speaker 1: that Dad reads on his computer. What happens. What you

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Speaker 1: see is Dad receives a package in the mail, he

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Speaker 1: signs for a package, he opens the package. Inside the

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Speaker 1: package is a tiny computer. He opens the computer and

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Speaker 1: there's a video of the FBI guy going, hey, don't

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Speaker 1: you want to join the FBI? And then Dada is like,

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Speaker 1: oh fuck. Imagine if every time you got an email

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Speaker 1: you had to sign for a package and somebody gave

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Speaker 1: you like just a little computer. It's just the most

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Speaker 1: retro future ship you can imagine. And it's like so

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Speaker 1: hard to wrap my head around because it's so different

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Speaker 1: from how we actually use the Internet, and yet this

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Speaker 1: movie was made less than thirty years ago. That's amazing.

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Speaker 1: It's very amazing. My favorite, uh example of Hollywood like

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Speaker 1: movies misunderstanding the way computers function is from the year

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Speaker 1: before that Disclosure, where they use virtual reality to like

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Speaker 1: store five els in a filing cabinet. So it's just

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Speaker 1: the very basic interface of like what a desktop computer does,

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Speaker 1: but they are doing it via like walking down the

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Speaker 1: hallway and like opening a door to like steal the

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Speaker 1: file that is like hidden there. Yes, it sounds like

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Speaker 1: we're we're working with a similar version exactly. There's nineties

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Speaker 1: Hollywood was was desperately trying to take the most boring

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Speaker 1: age of computers, which was just like straight up it's

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Speaker 1: like numbers on a screen, like you can't really do anything,

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Speaker 1: just get away. But they're trying to make it visually interesting.

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Speaker 1: So in all of the scenes where data is hacking,

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Speaker 1: you just get a close up on his face and

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Speaker 1: then it cuts to like a d MT sort of

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Speaker 1: visual of like all these like Fibonacci spirals and like

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Speaker 1: equations floating across the screen like over and over. You

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Speaker 1: gotta watch it. At the effort, I really because it's

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Speaker 1: there's I think that there's in any year where there

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Speaker 1: is a googling sequence or a coding sequence. It's never

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Speaker 1: fun to watch. It's never ever ever fun to watch.

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Speaker 1: But the fun part that so I appreciate that they

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Speaker 1: made the effort. And I also like, my favorite part

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Speaker 1: of any frantic googling sequence, like especially on TV, is

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Speaker 1: like what word they come up with that is google

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Speaker 1: or big. They're like it's booble, and you're just like double, yeah,

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Speaker 1: we gotta gorkle this. Like they did this a lot

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Speaker 1: on River Nail, where they like they replaced the name

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Speaker 1: with something very close, but they always make the characters

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Speaker 1: say it out loud, so yeah, they're always like, we

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Speaker 1: gotta bornkle this or or there was that like phase

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Speaker 1: of television that I want to It's it's tapered off

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Speaker 1: now as far as I know, but like in the

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Speaker 1: early two thousand tens, there was a lot of I

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Speaker 1: think being money being sunk into getting name drops on

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Speaker 1: TV shows where it would be just like I don't know,

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Speaker 1: I don't know where it is, guess I gotta bang

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Speaker 1: it here. Like yeah, you see people scrolling through pages

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Speaker 1: of being results and you're like, what, what is it?

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Speaker 1: Has anyone done this before? Didn't being get caught for

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Speaker 1: like just basically using Google results also plugged Google into

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Speaker 1: their thing. That's so funny. Alright, guys, let's take a

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Speaker 1: quick break and we'll be right back. And we're back.

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Speaker 1: A story that was on CNN actually about Camden, New Jersey,

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Speaker 1: which abolished their police years ago, and it was after

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Speaker 1: very similar complaints to what's going on in Minneapolis. And

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Speaker 1: they've had a lot of success. Um, it hasn't been perfect,

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Speaker 1: but they've seen the violent crime in the city cut

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Speaker 1: in half. Whereas a lot of the people who are

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Speaker 1: so shocked about the idea of abolishing the police are

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Speaker 1: are amazed that, like people they just assumed that because

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Speaker 1: humans are cruel, or their version of humanity is cruel,

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Speaker 1: that it's just going to be a complete, you know,

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Speaker 1: free for all of people killing and robbing each other.

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Speaker 1: And actually, when they abolished their police and you know,

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Speaker 1: reformed it in a new way that was from the

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Speaker 1: ground up, they saw a violent crime cut in half.

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Speaker 1: And the reforms are all things like police abolitionists are

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Speaker 1: talking about, like having better representation, and yeah, it was

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Speaker 1: It's just an interesting story that if if you are

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Speaker 1: one of the people who's like police abolition is a nonstarter,

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Speaker 1: you should at least realize that your version of what

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Speaker 1: would happen if the police were abolished in your town,

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Speaker 1: you know, you need you need to learn more, because

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Speaker 1: that clearly isn't what happened in one of the places

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Speaker 1: that actually did it. Yeah, it's like and not for nothing.

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Speaker 1: It's not a nonstarter because it's starting, yeah, exactly, and

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Speaker 1: if you google it, it's not as scary as it seems.

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Speaker 1: It doesn't mean that there won't be people to come

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Speaker 1: that you can call to help you. A lot of

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Speaker 1: it is about unarming people who should not have guns

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Speaker 1: in the first place. You don't need guns to do

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Speaker 1: a wellness check. We've seen so many wellness chucks go

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Speaker 1: from the person, actually, what's fine when we got here,

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Speaker 1: but then we killed them, So you know what I mean.

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Speaker 1: There's a certain areas of policing that need to be

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Speaker 1: more specialized and have people who actually have the skills

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Speaker 1: to help one of those domestic violence cases, Like what

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Speaker 1: you know, those police aren't helping people who are victims

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Speaker 1: of domictic violence, so not proportionately. If you look at

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Speaker 1: the numbers. Um. And if you look at the numbers

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Speaker 1: within the force, whoo that jumps out at you. Um.

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Speaker 1: So it's just like there's still going to be people

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Speaker 1: to protect and help you, but there's going to be

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Speaker 1: care instead of you know what we're getting right now,

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Speaker 1: which is just aggressive police who are terrified. Apparently they're

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Speaker 1: not always terrified. We've seen those videos. They are killing

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Speaker 1: people on purpose. So yeah, google it. It's not it's

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Speaker 1: not as crazy as it sounds. It doesn't mean that

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Speaker 1: there's just gonna be robbers and cops breaking into your

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Speaker 1: home because there's no popo to stop them. Yeah, it's

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Speaker 1: not an anarchist like platform. It's organized. There are like

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Speaker 1: and I and I also understand, like we were talking

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Speaker 1: about a little bit yesterday, like everyone is on a

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Speaker 1: pretty steep like most people are on a pretty steep

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Speaker 1: learning curve with this stuff. I know I am as well.

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Speaker 1: And it's like, you know, two weeks ago, could I

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Speaker 1: speak to police abolition at length? No? I couldn't. I

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Speaker 1: knew that it was something that I like, I liked

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Speaker 1: the concept of, but I couldn't, you know, speak to

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Speaker 1: it in detail. And so it's like, yeah, just you know,

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Speaker 1: learn about places that have already um put things in place,

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Speaker 1: learn about police reform and how it has not actually

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Speaker 1: serve as much and usually just stands to waste a

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Speaker 1: ton of taxpayers money. Like there's you know, we're all

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Speaker 1: learning ship police abolition is not as extreme as it sounds,

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Speaker 1: and the current version of police is way way more

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Speaker 1: extreme than we give it credit for, and then our

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Speaker 1: mainstream media gives it credit for and we're seeing it.

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Speaker 1: It's weird to see mainstream media lie to you while

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Speaker 1: you're watching a video like on voiceover, like we all

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Speaker 1: saw in Buffalo where the police officers attacked that seventy

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Speaker 1: year old man. But I listened to voiceover from the

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Speaker 1: news that was like he he fall into the ground,

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Speaker 1: and I was like, hey, we saw him, we saw him,

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Speaker 1: we saw him. What right to the ground? Running over

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Speaker 1: people is not something that we should all want. Those

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Speaker 1: people were run over by a car, not not attacked

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Speaker 1: by you know, murderous police officer. That's that's the thing

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Speaker 1: we're seeing a lot more of that I would think

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Speaker 1: would be sort of a un alarming trend is white

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Speaker 1: supremacists police and just loose white supremacists, unaffiliated white supremacists

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Speaker 1: driving their cars into into crowds of protesters. But it

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Speaker 1: seems like the mainstream media that doesn't that kind of

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Speaker 1: goes against the grain of of what their typical areas

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Speaker 1: of interest are. It does seem like the Buffalo video

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Speaker 1: was a turning point. The you know, people were like,

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Speaker 1: that doesn't seem right, and also old white people were like,

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Speaker 1: that guy looks like me, and they just pushed him down.

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Speaker 1: What the hey? And so it does seem like we're

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Speaker 1: starting to see a deluge of of all these police

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Speaker 1: videos and videos of police violence that have just been

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Speaker 1: like I don't know, they've just not been showing people.

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Speaker 1: We've we've just only seen like I've seen a lot

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Speaker 1: of them on social media for weeks, but like now

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Speaker 1: all I feel like they're breaking over into the mainstream again.

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Speaker 1: It's like shocking that we were in a version of

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Speaker 1: reality where that was seen as normal, like what we're

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Speaker 1: seeing in these videos. But at the same time, I'm

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Speaker 1: glad that people are starting to see them at least

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Speaker 1: and that the media is starting to to show them.

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Speaker 1: Although at the same time, the media, like the local

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Speaker 1: news is no longer covering the marches during daytime TV

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Speaker 1: they're not preempting local programming. So you know now that

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Speaker 1: there's not you know, looting, to show footage of looting.

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Speaker 1: I feel like, you know, even though the weekend was

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Speaker 1: the biggest protests, yet they didn't cut in it was

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Speaker 1: it was only on CNN. It wasn't the local news

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Speaker 1: covering it like during the day. Yeah, it's interesting because

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Speaker 1: we've seen how Donald Trump has really attacked mainstream media

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Speaker 1: for their reporting on his behavior. But the bottom line

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Speaker 1: is is that truly mainstream media has almost started to

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Speaker 1: serve a purpose of protecting the state and protecting you know,

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Speaker 1: the norms, the societal norms that we've had that have

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Speaker 1: not been okay. Um. And it's very disheartening and disappointing

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Speaker 1: because the news is what is informing most of our

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Speaker 1: voter population, and it's the reason Twitter is always shocked

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Speaker 1: when someone that we never thought would get elected gets elected,

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Speaker 1: because there's a silent majority who they get their news from.

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Speaker 1: These people who are being so deeply irresponsible. Um. And

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Speaker 1: our politicians are afraid of the police. Di Blagio got

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Speaker 1: on television and told people that he thought it was

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Speaker 1: fine that the police ran over his citizens. He said

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Speaker 1: it he said it in l A. Our own police

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Speaker 1: chief got on the news and blamed us for killing

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Speaker 1: George flood Um. So there's a real disconnect with these

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Speaker 1: people and it comes from the money. Guys. We we

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Speaker 1: can't change policy with people who are afraid of police.

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Speaker 1: The police have been threatening him, They've been threatened. They

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Speaker 1: docked his daughter in New York marriage Bellagio's daughter, like

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Speaker 1: Eric Garcetti out here in l A, is very afraid

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Speaker 1: of them as well. Like we cannot change people who

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Speaker 1: are thugs and bullies. We have to take their money away.

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Speaker 1: It's the only way, right And and I would also

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Speaker 1: recommend if especially for the bigger cities, just look at

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Speaker 1: how the police budget dwarfs any social service that is

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Speaker 1: being given. There are some horrifying graphics. In l A.

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Speaker 1: It's over fifty of the city's budget, but it but

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Speaker 1: from city to city. It's just it's billions of dollars

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Speaker 1: being invested too, you know, accomplish what exactly, Um not

407
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Speaker 1: homeless could be off the street. You could actually walk

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Speaker 1: down the street and not be super depressed to see

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Speaker 1: people without homes and without care. You know, there's so

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Speaker 1: many social programs and services that were neglecting, and like,

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Speaker 1: I've been seeing this a lot everywhere. But people are like,

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Speaker 1: it's scary to think about the un the police, but

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Speaker 1: we've been defunding healthcare and education, uh since the beginning

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Speaker 1: of this country, right, and those are things that you need.

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Speaker 1: You don't meet cops. Do you wake up every day

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Speaker 1: and meet cops? No? Maybe one day someday. As a

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Speaker 1: black I try not to call them. If I was

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Speaker 1: getting robbed right now, I wouldn't call the police. I'm like, look,

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Speaker 1: here are my things, let's just hash this out, my

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Speaker 1: good day, sir. It turns into just a meeting, you know,

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Speaker 1: stay up, yeah, use those cards in the next three

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Speaker 1: hours because I am going to turn them off. But

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Speaker 1: I now it's interesting, I mean, even on a local

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Speaker 1: level of news reporting, because I know that most of

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Speaker 1: the stories that we personally come into contact with our

426
00:26:43,520 --> 00:26:48,119
Speaker 1: how the gigantic city protests are going, and what the

427
00:26:48,160 --> 00:26:52,439
Speaker 1: reality is of being at a protest that becomes people

428
00:26:52,920 --> 00:26:57,520
Speaker 1: being you know, like tear gassed and just driven at

429
00:26:57,960 --> 00:27:00,959
Speaker 1: at the hands of the police, versus how the news

430
00:27:01,480 --> 00:27:05,760
Speaker 1: spins it um. But even on a local level, I

431
00:27:05,880 --> 00:27:09,720
Speaker 1: was there was a protest in my hometown last week

432
00:27:09,880 --> 00:27:13,000
Speaker 1: and my aunt and uncle went to the beginning and

433
00:27:13,040 --> 00:27:16,000
Speaker 1: then they left and later in the night it's like

434
00:27:16,200 --> 00:27:20,840
Speaker 1: the Brockton, Massachusetts police force just let loose on people

435
00:27:21,000 --> 00:27:24,040
Speaker 1: before their curfew had even started. There was tear gassing,

436
00:27:24,280 --> 00:27:27,240
Speaker 1: people were hurt, and all you saw on the news

437
00:27:27,280 --> 00:27:30,240
Speaker 1: the next morning, and how a lot of my family

438
00:27:30,280 --> 00:27:33,639
Speaker 1: who were not there interpreted it was well, things just

439
00:27:33,720 --> 00:27:36,560
Speaker 1: got wild and people started looting. When you know, if

440
00:27:36,560 --> 00:27:38,639
Speaker 1: you look at the accounts of people who were there,

441
00:27:38,760 --> 00:27:42,320
Speaker 1: there is a clearly marked and it's mostly on Twitter

442
00:27:42,440 --> 00:27:44,720
Speaker 1: and it's mostly via live stream, but there's a clear

443
00:27:45,000 --> 00:27:51,720
Speaker 1: like in in like small local places. It's the same everywhere,

444
00:27:51,760 --> 00:27:55,080
Speaker 1: and it's all you see is, well, look at they've

445
00:27:55,080 --> 00:27:57,359
Speaker 1: smashed the Duncan donuts and you're like, that is not

446
00:27:57,520 --> 00:28:01,680
Speaker 1: the point, and that neglects so much of what happened.

447
00:28:01,840 --> 00:28:04,919
Speaker 1: It ignores the like the precedent for looting in the

448
00:28:04,960 --> 00:28:08,639
Speaker 1: first place, and it also just ignores everything between a

449
00:28:08,680 --> 00:28:11,359
Speaker 1: peaceful protest and things arriving at that place like that

450
00:28:11,920 --> 00:28:15,080
Speaker 1: you don't get there and avoid like the police, and

451
00:28:15,359 --> 00:28:18,159
Speaker 1: I don't know, it's it's been bizarre to talk to

452
00:28:18,200 --> 00:28:20,959
Speaker 1: my family about. You know, it's like there's people like

453
00:28:21,160 --> 00:28:23,320
Speaker 1: people I went to high school with were there, they

454
00:28:23,320 --> 00:28:25,840
Speaker 1: were tear gas, Like, how do you account for that

455
00:28:26,480 --> 00:28:29,560
Speaker 1: in the news that you see? And it's just you know,

456
00:28:29,600 --> 00:28:31,639
Speaker 1: it goes down to a very local level of like

457
00:28:31,720 --> 00:28:37,280
Speaker 1: how how stories are covered and Americans we've gotten used

458
00:28:37,320 --> 00:28:40,200
Speaker 1: to everybody lying to us. I mean, our president just

459
00:28:40,200 --> 00:28:42,480
Speaker 1: just last Like it's it's gotten to the point where

460
00:28:42,520 --> 00:28:44,480
Speaker 1: it's not even outrageous anymore. We're like, oh, yeah, he

461
00:28:44,560 --> 00:28:48,800
Speaker 1: lied about that anyways. Um, And it's weird to see

462
00:28:48,880 --> 00:28:51,520
Speaker 1: everybody at every level doing it. The police have been

463
00:28:51,600 --> 00:28:54,520
Speaker 1: lying as much as they possibly can. The mayor and

464
00:28:54,640 --> 00:28:56,800
Speaker 1: Seattle lied and said that they would no longer going

465
00:28:56,840 --> 00:28:59,280
Speaker 1: to tear gas their citizens, But it turned out that

466
00:28:59,320 --> 00:29:01,080
Speaker 1: they had just run that a tear gas and as

467
00:29:01,080 --> 00:29:03,720
Speaker 1: soon as they they started tear gas at people again.

468
00:29:06,120 --> 00:29:08,200
Speaker 1: So you just made this statement as a flex because

469
00:29:08,200 --> 00:29:11,280
Speaker 1: you were literally out of tear gas. Don't we care

470
00:29:11,280 --> 00:29:13,560
Speaker 1: about people? We're no longer going to gas shot because

471
00:29:13,560 --> 00:29:16,680
Speaker 1: we love y'all. Seattle be up. Then the next day

472
00:29:16,760 --> 00:29:18,680
Speaker 1: they were like, oh we got some more. Okay, get

473
00:29:18,680 --> 00:29:21,880
Speaker 1: it out there. We take it back, We take it back,

474
00:29:21,880 --> 00:29:23,840
Speaker 1: we take it back. It's so and and even and

475
00:29:24,120 --> 00:29:26,760
Speaker 1: I think that there's also like, I mean, we've been

476
00:29:26,960 --> 00:29:31,080
Speaker 1: seeing so many journalists are getting intentionally harmed by police,

477
00:29:31,120 --> 00:29:33,960
Speaker 1: and it's journalists who are trying to be on the

478
00:29:34,000 --> 00:29:39,240
Speaker 1: ground and report the story accurately, uh, that are losing

479
00:29:39,360 --> 00:29:42,080
Speaker 1: literally losing eyes. And like you know, go to Robert

480
00:29:42,120 --> 00:29:45,000
Speaker 1: Evans coverage in Portland, Like journalists who are trying to

481
00:29:45,040 --> 00:29:50,120
Speaker 1: cover the story on the ground accurately are being intentionally targeted.

482
00:29:50,720 --> 00:29:53,200
Speaker 1: Like yeah, yeah, And if you want to get a

483
00:29:53,240 --> 00:29:58,080
Speaker 1: sense of how the police feel about just the general

484
00:29:58,120 --> 00:30:04,360
Speaker 1: state of affairs right now, the NYPD union leader had

485
00:30:04,400 --> 00:30:07,920
Speaker 1: a press conference and it was just like he was

486
00:30:08,160 --> 00:30:13,920
Speaker 1: so bitter and resentful and petulant, and it just felt

487
00:30:13,960 --> 00:30:16,920
Speaker 1: like you were watching a a child have a have

488
00:30:17,000 --> 00:30:20,720
Speaker 1: a meltdown. But I think that's a very you know,

489
00:30:21,520 --> 00:30:27,000
Speaker 1: police are very defensive and you know, very good at

490
00:30:27,040 --> 00:30:34,840
Speaker 1: closing lines around one another. And I think that's yeah,

491
00:30:34,880 --> 00:30:38,240
Speaker 1: you're you're that that's going to be something that has

492
00:30:38,280 --> 00:30:43,680
Speaker 1: to be reckoned with as as this progresses. Miles, you

493
00:30:43,680 --> 00:30:47,000
Speaker 1: you brought this story for it that I hadn't. I

494
00:30:47,040 --> 00:30:50,960
Speaker 1: hadn't read that, uh, but I have read other stories

495
00:30:51,080 --> 00:30:54,320
Speaker 1: like it that really underscore like that that it seems

496
00:30:54,360 --> 00:30:57,320
Speaker 1: like we could be on the press piss of just

497
00:30:57,480 --> 00:31:02,400
Speaker 1: all out chaos like a civil war. We're on a

498
00:31:02,480 --> 00:31:06,560
Speaker 1: knife set for sure. Um and this story really you know. Um,

499
00:31:06,600 --> 00:31:10,040
Speaker 1: So what happened was there's a multi racial family, uh

500
00:31:10,080 --> 00:31:12,880
Speaker 1: and including like a couple. It was a sixteen year

501
00:31:12,920 --> 00:31:15,959
Speaker 1: old daughter the like the mother of the husband in

502
00:31:15,960 --> 00:31:18,960
Speaker 1: this couple. And they were like in this town and

503
00:31:19,200 --> 00:31:24,320
Speaker 1: I believe it's uh Forks, Washington. Yeah, so what is that?

504
00:31:24,400 --> 00:31:30,040
Speaker 1: Is that? Where um twilights from? Oh I don't know anyway,

505
00:31:30,400 --> 00:31:33,200
Speaker 1: Uh not important might be where the green room is from.

506
00:31:33,280 --> 00:31:38,280
Speaker 1: Also though the Socivic Northwest. So they're in Washington and

507
00:31:38,280 --> 00:31:40,360
Speaker 1: this was happening in Clallam County and they were they

508
00:31:40,360 --> 00:31:43,280
Speaker 1: were these people were shopping for camping equipment. They're going

509
00:31:43,280 --> 00:31:45,520
Speaker 1: on a camping trip. Then suddenly when they come out

510
00:31:45,520 --> 00:31:47,960
Speaker 1: of the store, they were quote accosted by seven or

511
00:31:48,000 --> 00:31:50,400
Speaker 1: eight carloads of people in the grocery store parking lot.

512
00:31:50,400 --> 00:31:53,040
Speaker 1: The people repeatedly asked if they were members of Antifa.

513
00:31:54,800 --> 00:31:57,480
Speaker 1: And the way this outlet says in a morphous militant

514
00:31:57,760 --> 00:32:00,560
Speaker 1: anti fascist movement has become a bug of for someone

515
00:32:00,600 --> 00:32:02,400
Speaker 1: the right at the second part. I I don't know,

516
00:32:02,440 --> 00:32:05,400
Speaker 1: but whatever, Uh a morphus as well. And then so

517
00:32:05,480 --> 00:32:08,240
Speaker 1: then the family said they're just there to camp and

518
00:32:08,360 --> 00:32:10,320
Speaker 1: they were like trying to move their car around these

519
00:32:10,360 --> 00:32:12,240
Speaker 1: people and go to the campsite. And then they said

520
00:32:12,240 --> 00:32:14,520
Speaker 1: a couple of cars were following them and they believed

521
00:32:14,720 --> 00:32:17,800
Speaker 1: these people were armed following them. And when they got

522
00:32:17,840 --> 00:32:22,880
Speaker 1: to the campsite, Uh, these people basically they that were camping,

523
00:32:22,880 --> 00:32:26,360
Speaker 1: this family, they heard gunshots and chainsaws and they're like, Okay,

524
00:32:26,400 --> 00:32:27,840
Speaker 1: we gotta get the funk out of here, and they

525
00:32:27,880 --> 00:32:30,080
Speaker 1: pack they put their camping ship back together, tried to

526
00:32:30,160 --> 00:32:33,600
Speaker 1: drive out, and these people had basically blocked the road

527
00:32:33,680 --> 00:32:36,880
Speaker 1: by chopping down the trees to block their car in,

528
00:32:37,240 --> 00:32:40,600
Speaker 1: to box them in. And then these like high school

529
00:32:40,600 --> 00:32:43,840
Speaker 1: students came and like got them out and like moved

530
00:32:43,880 --> 00:32:46,200
Speaker 1: the trees and helped escort them to the sheriff's office.

531
00:32:46,480 --> 00:32:48,959
Speaker 1: But it's like, what the fuck. So this is what's happening,

532
00:32:49,040 --> 00:32:53,320
Speaker 1: is like people will see a multi racial family with

533
00:32:53,480 --> 00:32:58,040
Speaker 1: children and the conclusion is that's Antifa who's trying to

534
00:32:58,320 --> 00:33:01,560
Speaker 1: kill us, and we need guns because anti fu is

535
00:33:01,640 --> 00:33:05,040
Speaker 1: here in the form of this multiracial family. That's what

536
00:33:05,480 --> 00:33:08,040
Speaker 1: the people's perception is. And when you look, the story

537
00:33:08,040 --> 00:33:10,160
Speaker 1: goes further back to be like why the fund did

538
00:33:10,160 --> 00:33:12,400
Speaker 1: these people? What in the world gave them the idea

539
00:33:12,440 --> 00:33:14,400
Speaker 1: that Antifa was gonna be there. So there was a

540
00:33:14,400 --> 00:33:17,680
Speaker 1: guy in a town over who said, basically did a

541
00:33:17,720 --> 00:33:19,600
Speaker 1: post that said, you know it's gonna go down here

542
00:33:19,880 --> 00:33:23,240
Speaker 1: in Sequim, Washington. He said, you may want to show

543
00:33:23,240 --> 00:33:25,440
Speaker 1: your face to make sure this is a peaceful demonstration

544
00:33:25,440 --> 00:33:28,680
Speaker 1: to declare all lives matter, and then completely like that

545
00:33:28,800 --> 00:33:32,200
Speaker 1: basically got the whole area of few towns all riled

546
00:33:32,280 --> 00:33:34,200
Speaker 1: up off of this guy's Facebook post, this guy who

547
00:33:34,240 --> 00:33:37,040
Speaker 1: owns a gun store. And then his next post for

548
00:33:37,160 --> 00:33:39,440
Speaker 1: like these maya culpa videos where he was kind of

549
00:33:39,440 --> 00:33:43,800
Speaker 1: being like because nothing happened, like it was all bullshit, um,

550
00:33:43,840 --> 00:33:46,240
Speaker 1: And he was saying that that he had asked people

551
00:33:46,280 --> 00:33:49,240
Speaker 1: to protect them from Antifa infiltrators based on quote intel

552
00:33:49,320 --> 00:33:50,840
Speaker 1: he had received. And then this is something he said

553
00:33:50,840 --> 00:33:53,200
Speaker 1: in the video quote I was told protesters were here,

554
00:33:53,240 --> 00:33:56,520
Speaker 1: I was told anti fuzz here and gonna trash the town.

555
00:33:56,960 --> 00:34:00,200
Speaker 1: I had this all this intel And then basically then

556
00:34:00,280 --> 00:34:01,960
Speaker 1: goes back and he said I need people. This is

557
00:34:01,960 --> 00:34:03,479
Speaker 1: the guy who started the first place that I need

558
00:34:03,520 --> 00:34:05,760
Speaker 1: people to bring it down a notch, including me. I'm sorry,

559
00:34:05,800 --> 00:34:07,800
Speaker 1: I got pretty jacked up about what's going on in

560
00:34:07,800 --> 00:34:10,360
Speaker 1: our country right now. That guy did have the wherewithal

561
00:34:10,440 --> 00:34:14,200
Speaker 1: to be like, I know, I got it at least articulating.

562
00:34:14,239 --> 00:34:16,640
Speaker 1: I know it's so funny, and I will, you know,

563
00:34:17,000 --> 00:34:19,040
Speaker 1: as much as I hate to, I will give credit

564
00:34:19,080 --> 00:34:21,400
Speaker 1: for credits do because it's so hard nowadays to get

565
00:34:21,440 --> 00:34:24,439
Speaker 1: people to admit fault. But it really is like, yeah,

566
00:34:24,440 --> 00:34:26,400
Speaker 1: this is the ship that gets people killed. And I

567
00:34:26,440 --> 00:34:29,719
Speaker 1: wish that there was someone near who who can say

568
00:34:29,719 --> 00:34:33,160
Speaker 1: that where it's like, bro, this is this is getting

569
00:34:33,160 --> 00:34:35,920
Speaker 1: people killed. And I think we do need to, like

570
00:34:36,440 --> 00:34:39,240
Speaker 1: we need to crack down on people doing that that stuff,

571
00:34:39,239 --> 00:34:42,879
Speaker 1: Like we need to, you know, like the same way

572
00:34:43,480 --> 00:34:46,120
Speaker 1: you got Trump saying when people looting shooting, like if

573
00:34:46,160 --> 00:34:48,840
Speaker 1: we have cool, we know people are going to be

574
00:34:48,840 --> 00:34:50,960
Speaker 1: so afraid to move on Trump. But at the very least,

575
00:34:50,960 --> 00:34:52,960
Speaker 1: when people are posting videos, we need to be banning

576
00:34:53,000 --> 00:34:56,239
Speaker 1: these accounts. We need we need law enforcement. I mean

577
00:34:56,400 --> 00:34:58,600
Speaker 1: not like they're going to averdu ship for us, but

578
00:34:58,680 --> 00:35:02,799
Speaker 1: we need some some type of someone to step in

579
00:35:03,040 --> 00:35:05,600
Speaker 1: and do something, you know. And that's what's so funny

580
00:35:05,640 --> 00:35:08,239
Speaker 1: is like when people are like, well, what are afraid of?

581
00:35:08,280 --> 00:35:11,200
Speaker 1: Like law enforcement, and they're like, well, you know, who's

582
00:35:11,200 --> 00:35:13,320
Speaker 1: going to take care of this that? And there? Where's

583
00:35:13,360 --> 00:35:16,759
Speaker 1: law enforcement? When a woman is sexually assaulted? Where's law

584
00:35:16,840 --> 00:35:20,839
Speaker 1: enforcement in these cases? Where's law enforcement? When people are

585
00:35:20,880 --> 00:35:25,120
Speaker 1: trying to report stalkers and and and online bullying which

586
00:35:25,200 --> 00:35:28,399
Speaker 1: leads to that same person murdering them, They're never they're

587
00:35:28,400 --> 00:35:30,680
Speaker 1: never acting on it. So that's why it's like, you're

588
00:35:30,680 --> 00:35:32,839
Speaker 1: not They're not out here trying to put their life

589
00:35:32,880 --> 00:35:35,000
Speaker 1: at risk. They all you're trying to have a license

590
00:35:35,040 --> 00:35:37,760
Speaker 1: to kill, which is why we need a dismantled police

591
00:35:38,160 --> 00:35:40,680
Speaker 1: bill of rights. We need to get rid of that

592
00:35:40,840 --> 00:35:45,279
Speaker 1: if you kill someone, if like, how the hell is

593
00:35:45,320 --> 00:35:49,040
Speaker 1: it that if a doctor kills you, or interest you're

594
00:35:49,040 --> 00:35:50,799
Speaker 1: trying to save your life, we can sue the ship

595
00:35:50,880 --> 00:35:53,640
Speaker 1: out of them. But when someone is actively making an

596
00:35:53,640 --> 00:35:56,120
Speaker 1: attempt on their life off of a bad judgment call,

597
00:35:56,400 --> 00:35:59,360
Speaker 1: they get to walk free. But that on paper, just

598
00:35:59,480 --> 00:36:02,760
Speaker 1: the map makes sense. That's why I think more people

599
00:36:02,800 --> 00:36:05,960
Speaker 1: can figure that out. And I think this story also

600
00:36:06,080 --> 00:36:10,120
Speaker 1: underlines just how how important it is for people who

601
00:36:10,160 --> 00:36:13,880
Speaker 1: have these kinds of like the capabilities to take life,

602
00:36:14,120 --> 00:36:17,879
Speaker 1: that they can actually see like what is actually going on,

603
00:36:18,280 --> 00:36:20,640
Speaker 1: because these people are just hopped up on a narrative

604
00:36:20,680 --> 00:36:23,799
Speaker 1: of like Fox News and just saying Antifa is gonna

605
00:36:23,840 --> 00:36:25,880
Speaker 1: here to run our town out, and that's it, and

606
00:36:25,920 --> 00:36:30,360
Speaker 1: everyone's prescribed that's the same thinking everyone's on. And because

607
00:36:30,440 --> 00:36:32,919
Speaker 1: everyone's looking at it one way, that's why black people

608
00:36:32,960 --> 00:36:35,440
Speaker 1: are treated as a monolith where all black people are

609
00:36:35,440 --> 00:36:38,280
Speaker 1: a threat and it's the same the police are responding

610
00:36:38,280 --> 00:36:40,759
Speaker 1: in the same way. That's why the police system and

611
00:36:40,840 --> 00:36:43,240
Speaker 1: the system of policing as it is now does not work.

612
00:36:43,480 --> 00:36:45,160
Speaker 1: And that's why a lot of people like we need

613
00:36:45,200 --> 00:36:47,719
Speaker 1: more social workers. You know, a social worker can look

614
00:36:47,760 --> 00:36:50,600
Speaker 1: at a black or brown kid in in in like

615
00:36:50,719 --> 00:36:53,799
Speaker 1: in an inner city area and say, I understand why

616
00:36:53,800 --> 00:36:56,239
Speaker 1: this kid is frustrated. I understand why they're actually in

617
00:36:56,280 --> 00:36:59,359
Speaker 1: the streets because there's so little opportunity here that this

618
00:36:59,440 --> 00:37:02,160
Speaker 1: is just the logical next step for them trying to survive.

619
00:37:02,520 --> 00:37:04,480
Speaker 1: And then but the police come and go, this gets

620
00:37:04,480 --> 00:37:07,200
Speaker 1: a fucking oh ship, they're trying to fucking get me. Ah,

621
00:37:07,560 --> 00:37:10,080
Speaker 1: what the fuck you know what. I mean that we

622
00:37:10,160 --> 00:37:13,600
Speaker 1: have to begin seeing things a little bit more clearly too,

623
00:37:13,640 --> 00:37:17,040
Speaker 1: because it just we're jumping to conclusions all like left

624
00:37:17,040 --> 00:37:21,000
Speaker 1: and right. All right, let's take another quick break and

625
00:37:21,120 --> 00:37:23,920
Speaker 1: we'll be back to uh talk about Trump's latest live

626
00:37:32,400 --> 00:37:36,719
Speaker 1: and we're back if he what is a myth? What's

627
00:37:36,719 --> 00:37:38,840
Speaker 1: something people think is true, you know, to be false?

628
00:37:39,040 --> 00:37:41,839
Speaker 1: I think I think Miles is kind of hidden on that.

629
00:37:41,880 --> 00:37:44,840
Speaker 1: I mean there's this, you know, there's this kind of

630
00:37:45,120 --> 00:37:47,880
Speaker 1: everyone's like, you know, police brutality is bad, this, that

631
00:37:47,920 --> 00:37:50,520
Speaker 1: and that. But when we hear defund the police, everyone

632
00:37:50,600 --> 00:37:53,000
Speaker 1: starts to slow up where it's like, well we need

633
00:37:53,040 --> 00:37:56,640
Speaker 1: the police, and really we don't. I think there's a

634
00:37:56,680 --> 00:38:00,480
Speaker 1: really good infographic going around showing the history of police

635
00:38:00,520 --> 00:38:03,080
Speaker 1: showing this, And I was just talking about this with

636
00:38:03,120 --> 00:38:05,759
Speaker 1: someone earlier today. When we just like when you think

637
00:38:05,800 --> 00:38:10,239
Speaker 1: about car chases, like like, with all the technology and

638
00:38:10,280 --> 00:38:12,440
Speaker 1: all the tracking that we have, the systems we have

639
00:38:12,520 --> 00:38:17,960
Speaker 1: in place, you know, do we really need five ten

640
00:38:18,480 --> 00:38:22,759
Speaker 1: police cars going at dangerous speeds through civilian roads to

641
00:38:22,840 --> 00:38:25,200
Speaker 1: chase down one car when we have a helicopter that

642
00:38:25,280 --> 00:38:28,560
Speaker 1: already costs so much to fly anyway, that's up with

643
00:38:28,640 --> 00:38:31,479
Speaker 1: them that can just follow and then have this person.

644
00:38:31,520 --> 00:38:34,239
Speaker 1: Because cars need gas, the cars don't run forever. So

645
00:38:34,280 --> 00:38:36,760
Speaker 1: if you if it would just take you to actually

646
00:38:36,800 --> 00:38:39,560
Speaker 1: sit down and and I think a lot of the

647
00:38:39,760 --> 00:38:43,680
Speaker 1: problems is it's it's almost this brute force tactic when

648
00:38:43,719 --> 00:38:47,880
Speaker 1: it comes to policing, and that's the problem, and it's

649
00:38:47,920 --> 00:38:51,680
Speaker 1: at its core for me, there's never any planning. Is like,

650
00:38:51,760 --> 00:38:54,279
Speaker 1: it's never like, Okay, what's the best most efficient way

651
00:38:54,320 --> 00:38:56,680
Speaker 1: to go about this, the safest way. It's always like, okay,

652
00:38:56,760 --> 00:38:59,919
Speaker 1: let's grab the armor up and let's run in there

653
00:39:00,280 --> 00:39:04,560
Speaker 1: and just do whatever we want. And you should like, uh,

654
00:39:04,560 --> 00:39:08,440
Speaker 1: it's it's so interesting because a lot of people have

655
00:39:08,520 --> 00:39:11,880
Speaker 1: been asking like, oh, you know it. Well. The funny

656
00:39:11,960 --> 00:39:14,759
Speaker 1: thing is like all these white families that are like

657
00:39:14,760 --> 00:39:16,720
Speaker 1: this is so hard to talk about with my kids,

658
00:39:17,160 --> 00:39:20,640
Speaker 1: and people asking me about what I'm telling Naomi about this,

659
00:39:20,680 --> 00:39:23,200
Speaker 1: and I was like, well, to be honest, Naomi, I'm not.

660
00:39:23,480 --> 00:39:26,960
Speaker 1: I'm letting her be uh just in her world of

661
00:39:27,000 --> 00:39:30,360
Speaker 1: Sesame Street and ABC Mouse. The reason being is because

662
00:39:30,360 --> 00:39:32,600
Speaker 1: my kids black, this is a wall she's gonna walk

663
00:39:32,640 --> 00:39:35,000
Speaker 1: into eventually, So if I can let her just to

664
00:39:35,040 --> 00:39:39,560
Speaker 1: have this like free few years of not knowing and

665
00:39:39,680 --> 00:39:42,399
Speaker 1: experience what racism is and then have that conversation when

666
00:39:42,400 --> 00:39:45,359
Speaker 1: she inevitably comes to school and be like, hey, some

667
00:39:45,560 --> 00:39:49,200
Speaker 1: kid called me nigger or some someone's being weird to me,

668
00:39:49,200 --> 00:39:51,480
Speaker 1: I'll be like, Okay, well it's time to have this

669
00:39:51,560 --> 00:39:57,479
Speaker 1: conversation because it really is like it's something we deal with,

670
00:39:57,760 --> 00:40:01,640
Speaker 1: uh and and it's and we're seeing live how cops operate,

671
00:40:01,760 --> 00:40:04,600
Speaker 1: something that I'm sure me and Miles have known for

672
00:40:04,680 --> 00:40:08,359
Speaker 1: a long time. One of my first lessons in this

673
00:40:08,480 --> 00:40:12,360
Speaker 1: was when I was in Compton. This cop was chasing

674
00:40:12,400 --> 00:40:15,640
Speaker 1: these dudes in my apartment complex and he runs by

675
00:40:15,960 --> 00:40:18,520
Speaker 1: and they run after him, and he ends up running

676
00:40:18,560 --> 00:40:22,719
Speaker 1: down this cold this nearby. It's it's like a you

677
00:40:22,719 --> 00:40:25,920
Speaker 1: know how some houses have property and then they're all

678
00:40:26,000 --> 00:40:28,880
Speaker 1: the way they're they're deeper into the space, but there's

679
00:40:28,880 --> 00:40:31,160
Speaker 1: no through line, like he ran down it and it

680
00:40:31,239 --> 00:40:33,239
Speaker 1: was kind of closed off, and it was just we

681
00:40:33,360 --> 00:40:36,480
Speaker 1: just hear like a bunch of gun shots. They in

682
00:40:36,640 --> 00:40:39,600
Speaker 1: so many shots. They shot their own K nine. They

683
00:40:39,640 --> 00:40:44,600
Speaker 1: shot the K nine, and they planned, they they they

684
00:40:44,640 --> 00:40:47,120
Speaker 1: It was wild to see what happened with our own eyes.

685
00:40:47,160 --> 00:40:50,600
Speaker 1: And then see what was reported. And what happened was

686
00:40:50,680 --> 00:40:53,399
Speaker 1: they calm him down there and just started firing on him,

687
00:40:53,520 --> 00:40:57,200
Speaker 1: killed him. And then they said that he shot the

688
00:40:57,200 --> 00:41:00,680
Speaker 1: police dog and that's why they shot him. He had

689
00:41:00,719 --> 00:41:03,960
Speaker 1: no gun on him. We we we saw and they

690
00:41:04,120 --> 00:41:07,000
Speaker 1: And what made it worse was the family that lived

691
00:41:07,600 --> 00:41:10,480
Speaker 1: in that inlet area. They were gone, but they like

692
00:41:10,600 --> 00:41:12,759
Speaker 1: let us come in their house and they shot so

693
00:41:12,880 --> 00:41:16,080
Speaker 1: much they that there were bullets riddled all over their

694
00:41:16,080 --> 00:41:18,160
Speaker 1: living room. And they said luckily they were at church,

695
00:41:18,200 --> 00:41:20,560
Speaker 1: because if they were at home, if they were watching TV,

696
00:41:20,640 --> 00:41:22,600
Speaker 1: they would have just been shot up. And that's the

697
00:41:22,640 --> 00:41:25,360
Speaker 1: same story, man, you know what I mean, Like it's

698
00:41:25,480 --> 00:41:28,000
Speaker 1: it happened so much, and the and the police are

699
00:41:28,040 --> 00:41:31,719
Speaker 1: able to like you know, office skate and try and

700
00:41:31,800 --> 00:41:34,880
Speaker 1: just describe them murdering someone as like man, then he

701
00:41:34,920 --> 00:41:36,960
Speaker 1: shot the dog, and like we had no choice. And

702
00:41:37,000 --> 00:41:40,120
Speaker 1: that's because the people that they're that hold them to

703
00:41:40,160 --> 00:41:42,480
Speaker 1: account are there all We're like, all right, so what

704
00:41:42,520 --> 00:41:43,840
Speaker 1: happened here? So like what are we gonna what are

705
00:41:43,840 --> 00:41:45,520
Speaker 1: we gonna say here? So he probably shot the dog

706
00:41:45,560 --> 00:41:50,239
Speaker 1: all right here there and fall and then that's why

707
00:41:50,280 --> 00:41:53,200
Speaker 1: we have and that's why like these reforms are so important.

708
00:41:53,200 --> 00:41:55,000
Speaker 1: So like when people are like, well, let's band choke

709
00:41:55,080 --> 00:41:59,520
Speaker 1: holds like the funk up many Again that should have

710
00:41:59,600 --> 00:42:03,680
Speaker 1: happened decades ago. We're past that. And again the police

711
00:42:03,680 --> 00:42:07,120
Speaker 1: have completely seeded their right to say that they're an

712
00:42:07,239 --> 00:42:10,920
Speaker 1: entity worth funding, uh in any meaningful way. Like again,

713
00:42:10,960 --> 00:42:13,880
Speaker 1: we have to like you're saying, if the police, especially

714
00:42:13,920 --> 00:42:16,640
Speaker 1: for black men, you'll never have I've never seen a

715
00:42:16,680 --> 00:42:19,319
Speaker 1: cops say sir, can I help you? Not at all?

716
00:42:19,800 --> 00:42:21,920
Speaker 1: And if and if it was, it was just a

717
00:42:22,000 --> 00:42:25,960
Speaker 1: sneaky way to just see where I'm going, where I'm coming, right,

718
00:42:25,960 --> 00:42:28,480
Speaker 1: where you're going? Yeah, oh you lost. I'm like, okay,

719
00:42:28,560 --> 00:42:31,239
Speaker 1: don't fucking concern troll me, Dick, I know what the funk,

720
00:42:31,360 --> 00:42:33,160
Speaker 1: I know where you're going, where this is going. But

721
00:42:33,239 --> 00:42:36,959
Speaker 1: like this is I think it's all about being able

722
00:42:37,000 --> 00:42:39,000
Speaker 1: to shift our how we look at things. Right, there's

723
00:42:39,040 --> 00:42:41,520
Speaker 1: like even there's a like, for example, the police, right.

724
00:42:41,600 --> 00:42:45,080
Speaker 1: Chavon Thomas, who is a writer, tweeted out rights are

725
00:42:45,120 --> 00:42:47,360
Speaker 1: Rick and Morty said, for my friends and followers arguing

726
00:42:47,360 --> 00:42:49,680
Speaker 1: for reforms of the police instead of major defunding, ask

727
00:42:49,760 --> 00:42:52,200
Speaker 1: yourself this, have the police ever actually helped you or

728
00:42:52,239 --> 00:42:54,760
Speaker 1: anyone you know, or is your idea of the police

729
00:42:54,760 --> 00:42:59,680
Speaker 1: predominantly been formed by movies and television, because yes, there

730
00:42:59,680 --> 00:43:02,960
Speaker 1: are people have committed crimes. Unfortunately, I've had issues with

731
00:43:03,320 --> 00:43:07,080
Speaker 1: in past relationships where like someone I was dating needed

732
00:43:07,080 --> 00:43:10,600
Speaker 1: actual like law enforcement help and it just never came.

733
00:43:11,560 --> 00:43:13,279
Speaker 1: And let's just talk about the fact that, you know,

734
00:43:13,360 --> 00:43:15,560
Speaker 1: they want to pretend that you know, we we use

735
00:43:16,000 --> 00:43:18,480
Speaker 1: something someone brought it that was good, as we often

736
00:43:18,600 --> 00:43:21,520
Speaker 1: use unarmed unarmed black men unarmed, But who cares if

737
00:43:21,600 --> 00:43:23,760
Speaker 1: if they were armed? How many times are we looking

738
00:43:23,800 --> 00:43:27,520
Speaker 1: at these videos of armed white men who have murdered,

739
00:43:27,560 --> 00:43:30,880
Speaker 1: who have hurt people who are somehow still able to

740
00:43:30,880 --> 00:43:34,680
Speaker 1: be brought in without being shot. How many times we

741
00:43:34,719 --> 00:43:37,680
Speaker 1: see it? So many times? Yet yet we have to

742
00:43:37,719 --> 00:43:40,200
Speaker 1: point out that the black people who are being slain

743
00:43:40,239 --> 00:43:43,439
Speaker 1: are unarmed, as if that makes a difference, because it's

744
00:43:43,480 --> 00:43:46,279
Speaker 1: true that they have it. There's just zero compassion. They

745
00:43:46,320 --> 00:43:49,319
Speaker 1: see it as a as as as sport, they see

746
00:43:49,360 --> 00:43:51,400
Speaker 1: it as a chance. It's almost as if they hear

747
00:43:51,480 --> 00:43:54,200
Speaker 1: that the if the suspect is black, they know they

748
00:43:54,200 --> 00:43:56,799
Speaker 1: can go in guns blazing. It's the same, it's the

749
00:43:56,800 --> 00:43:59,920
Speaker 1: same idea that made to an off duty cop and

750
00:44:00,000 --> 00:44:02,920
Speaker 1: a son drive down on a black man like it

751
00:44:02,960 --> 00:44:06,120
Speaker 1: was hunting season, like it really, it really shows, and

752
00:44:06,200 --> 00:44:10,319
Speaker 1: so they do they I think you should if we

753
00:44:10,360 --> 00:44:13,640
Speaker 1: can make them go through so much before they can

754
00:44:13,719 --> 00:44:17,440
Speaker 1: even grab a gun, you know that. And I don't

755
00:44:17,480 --> 00:44:20,319
Speaker 1: want to hear any of this like well what about this, this, this,

756
00:44:20,360 --> 00:44:23,600
Speaker 1: and this. Someone just showed a survey. Only forty eight

757
00:44:23,640 --> 00:44:27,320
Speaker 1: cops were killed last year, and and half of those

758
00:44:27,560 --> 00:44:32,360
Speaker 1: were accidents that happened on themselves. So that means twentysomething

759
00:44:32,480 --> 00:44:35,799
Speaker 1: cops or actually at risk out of the hundreds of

760
00:44:35,800 --> 00:44:39,200
Speaker 1: thousands of police. So with those odds, I think you

761
00:44:39,440 --> 00:44:41,879
Speaker 1: do you shouldn't have access to an M six team.

762
00:44:42,400 --> 00:44:45,600
Speaker 1: Shouldn't have access. And if you're this cavalier about calling

763
00:44:45,600 --> 00:44:48,000
Speaker 1: in the National Guarden other agencies, and then what the

764
00:44:48,040 --> 00:44:50,200
Speaker 1: fund do you need guns for? If you're gonna if

765
00:44:50,239 --> 00:44:52,600
Speaker 1: you're gonna call in over some peaceful protesters, you don't

766
00:44:52,640 --> 00:44:55,239
Speaker 1: need guns if you can't even because you know what

767
00:44:55,280 --> 00:44:57,719
Speaker 1: I mean, it's just about saying, oh, well, we have

768
00:44:57,880 --> 00:45:01,920
Speaker 1: people starting to ban together across you know, class and

769
00:45:02,040 --> 00:45:05,799
Speaker 1: racial lines to actually identify a common threat. And it's us.

770
00:45:05,800 --> 00:45:07,560
Speaker 1: So we're going to have to put that down because

771
00:45:07,560 --> 00:45:09,800
Speaker 1: we need our money and we need to keep expanding

772
00:45:09,800 --> 00:45:11,400
Speaker 1: our police force. I mean, especially like when you think

773
00:45:11,400 --> 00:45:13,480
Speaker 1: about l A, the crime rate in New York. I

774
00:45:13,480 --> 00:45:18,200
Speaker 1: think crime rates gone down by why do we need

775
00:45:18,280 --> 00:45:22,640
Speaker 1: more cops? Like what's I don't I don't even understand

776
00:45:22,640 --> 00:45:25,840
Speaker 1: the logic path of that. There's less crime, more cops,

777
00:45:26,360 --> 00:45:30,120
Speaker 1: seventy five percent less since ninety two. But that's not

778
00:45:30,160 --> 00:45:32,920
Speaker 1: what they're telling themselves. Like we talked on that, we

779
00:45:33,040 --> 00:45:35,680
Speaker 1: talked earlier and on that behind the bastards, about that

780
00:45:35,880 --> 00:45:39,759
Speaker 1: David Grossman guy who goes around training them too. I

781
00:45:39,760 --> 00:45:42,600
Speaker 1: think that they are their lives are like eight times

782
00:45:42,640 --> 00:45:47,080
Speaker 1: more in danger. There's this thing that this like cops

783
00:45:47,080 --> 00:45:52,400
Speaker 1: speak that you hear like I even hear people like

784
00:45:52,480 --> 00:45:54,959
Speaker 1: around me be like, well I heard this from a cop,

785
00:45:55,040 --> 00:45:57,399
Speaker 1: And like cops love to act like they have this

786
00:45:58,080 --> 00:46:03,800
Speaker 1: inside track to some information. And it's always fucking bullshit

787
00:46:03,960 --> 00:46:07,279
Speaker 1: that people I know. I know two cops. They were

788
00:46:07,360 --> 00:46:10,840
Speaker 1: shitty people in high school, right, and I don't I

789
00:46:10,840 --> 00:46:12,879
Speaker 1: don't even funk with them. I just remember, like when

790
00:46:12,920 --> 00:46:15,239
Speaker 1: Facebook was cracking and like that first couple of years

791
00:46:15,239 --> 00:46:18,880
Speaker 1: out of college. I'm like, oh ship that dudes. Akay, yeah, No,

792
00:46:18,960 --> 00:46:21,839
Speaker 1: it's it's very it's very It's a well known fact

793
00:46:21,880 --> 00:46:25,160
Speaker 1: that people would join the police force with complexes and

794
00:46:25,200 --> 00:46:28,239
Speaker 1: they plan to use them to lash out on citizens.

795
00:46:28,440 --> 00:46:30,520
Speaker 1: But they're not gonna lash out on every citizen. They're

796
00:46:30,560 --> 00:46:33,880
Speaker 1: gonna lash out on black citizens who they feel can't

797
00:46:33,920 --> 00:46:39,600
Speaker 1: clasp it could be whatever, people of color. And you know,

798
00:46:39,960 --> 00:46:44,359
Speaker 1: uh and and it's so obvious when two weeks ago

799
00:46:44,480 --> 00:46:48,480
Speaker 1: we got to see the same quote unquote level protests,

800
00:46:48,520 --> 00:46:51,440
Speaker 1: but this time we got a rs or strapped around people,

801
00:46:51,719 --> 00:46:54,640
Speaker 1: and we're not met with the same level. We're not met.

802
00:46:54,880 --> 00:46:59,560
Speaker 1: There's two. The MSS information is so transparent and clear.

803
00:46:59,800 --> 00:47:03,080
Speaker 1: We have videos of police trucks dropping off bricks, We

804
00:47:03,160 --> 00:47:06,560
Speaker 1: have videos of people looting. When you pay attention to

805
00:47:06,600 --> 00:47:09,600
Speaker 1: the video, they are not black yet you yet you

806
00:47:09,680 --> 00:47:13,799
Speaker 1: have people playing this video, reporters playing this video in

807
00:47:13,840 --> 00:47:16,200
Speaker 1: the same Black Lives Matter when they isn't a black

808
00:47:16,239 --> 00:47:19,560
Speaker 1: life on camera. It's it's it's wild. It's like the

809
00:47:19,640 --> 00:47:23,319
Speaker 1: fixes in but it's not working. And now they're scrambling,

810
00:47:23,440 --> 00:47:26,640
Speaker 1: which is why, which is why you know these CNNs

811
00:47:26,680 --> 00:47:29,239
Speaker 1: and all this stuff they're they're not going to make

812
00:47:29,239 --> 00:47:32,000
Speaker 1: it through it either, because you just see how quickly

813
00:47:32,040 --> 00:47:34,399
Speaker 1: they lean to whichever side they feel like they lean

814
00:47:34,480 --> 00:47:39,719
Speaker 1: to lean to make the slam. They's just ridiculous, just

815
00:47:39,800 --> 00:47:44,759
Speaker 1: going back to Biden real quick. I I feel like

816
00:47:45,760 --> 00:47:51,719
Speaker 1: there there's a certain type of Democrat who wanted Biden

817
00:47:51,880 --> 00:47:55,480
Speaker 1: to win so that they could stop paying attention to

818
00:47:55,560 --> 00:47:59,840
Speaker 1: the news. And I think we need to actively address

819
00:48:00,040 --> 00:48:04,480
Speaker 1: at like over the coming Like I still think, you know,

820
00:48:05,000 --> 00:48:08,560
Speaker 1: we should vote for Biden because I don't know what

821
00:48:08,719 --> 00:48:11,879
Speaker 1: happens with Trump continuing in the White House, but that

822
00:48:12,640 --> 00:48:16,480
Speaker 1: cannot be the reason why it can't be a situation

823
00:48:16,520 --> 00:48:20,160
Speaker 1: where we go back to, you know, just assuming that

824
00:48:20,360 --> 00:48:24,680
Speaker 1: everything is being taken care of. And you guys mentioned

825
00:48:24,719 --> 00:48:28,359
Speaker 1: it earlier. That's sort of political geometry of every time

826
00:48:28,360 --> 00:48:32,239
Speaker 1: there's a Democrat in the White House, there's a triangulation

827
00:48:32,280 --> 00:48:35,719
Speaker 1: that goes on where they have to you know, consider

828
00:48:36,320 --> 00:48:42,120
Speaker 1: have to appear tough on crime, or conservative politically or

829
00:48:42,239 --> 00:48:46,480
Speaker 1: conservative fiscally, like all these different things that they feel

830
00:48:46,520 --> 00:48:50,239
Speaker 1: they have to do, whereas like Republicans never feel like

831
00:48:50,239 --> 00:48:53,440
Speaker 1: they have to make concessions in the other direction. Um,

832
00:48:53,560 --> 00:48:57,360
Speaker 1: but Democrats like that needs to stop, and it can't

833
00:48:57,680 --> 00:49:00,480
Speaker 1: be a thing we stop paying attention that that does.

834
00:49:00,560 --> 00:49:04,400
Speaker 1: It's just accommodating white supremacy. That's all it is, and

835
00:49:04,440 --> 00:49:06,920
Speaker 1: that's all it has been. So whenever we're asking for

836
00:49:07,000 --> 00:49:09,680
Speaker 1: real equality and these bills get to a point and

837
00:49:10,400 --> 00:49:13,239
Speaker 1: legislators that get it get it to a place where

838
00:49:13,280 --> 00:49:15,000
Speaker 1: maybe it could get a vote, and then it gets

839
00:49:15,040 --> 00:49:18,840
Speaker 1: fucking destroyed and watered down, that's because then they're Democrats

840
00:49:18,880 --> 00:49:21,279
Speaker 1: who are accommodating the white supremacy on the right or

841
00:49:21,320 --> 00:49:24,480
Speaker 1: in their own districts. And I think that's at least

842
00:49:24,560 --> 00:49:27,640
Speaker 1: I think maybe that's the difference is we are less

843
00:49:27,880 --> 00:49:30,799
Speaker 1: companies too, are less willing to accommodate white supremacy to

844
00:49:30,960 --> 00:49:33,399
Speaker 1: like when they just say, hey, fuck y'all, bro, if

845
00:49:33,440 --> 00:49:35,640
Speaker 1: if it ain't black lives matter, fucking I don't give

846
00:49:35,719 --> 00:49:37,480
Speaker 1: take your dollars somewhere else. We don't give a fuck.

847
00:49:38,040 --> 00:49:41,640
Speaker 1: We actually don't. We don't give a fuck because the

848
00:49:41,719 --> 00:49:44,560
Speaker 1: racists aren't making this ship. That's good. We'll go ahead,

849
00:49:44,880 --> 00:49:46,600
Speaker 1: go over there if you like it. And I think

850
00:49:46,640 --> 00:49:50,000
Speaker 1: that's the attitude that the Democrats also need to have,

851
00:49:50,320 --> 00:49:53,240
Speaker 1: is to stop accommodating these white supremacists, and it's easy.

852
00:49:53,320 --> 00:49:56,520
Speaker 1: You can say, look, we're doing this because that's right,

853
00:49:56,560 --> 00:49:59,240
Speaker 1: and if whatever, I think a lot of arguments against

854
00:49:59,320 --> 00:50:02,040
Speaker 1: like these structural of changes, like they're only gonna appeal

855
00:50:02,080 --> 00:50:05,640
Speaker 1: to the the economics of it, ever, because there's no

856
00:50:05,760 --> 00:50:08,560
Speaker 1: there's no moral argument against any of these things. We're

857
00:50:08,640 --> 00:50:11,600
Speaker 1: We're seeing everything. So now it's like scrambling to be like, well,

858
00:50:11,680 --> 00:50:13,520
Speaker 1: how can we obscure this in these other ways to

859
00:50:13,600 --> 00:50:17,080
Speaker 1: try and because we can't, this can't get too much momentum.

860
00:50:17,120 --> 00:50:18,680
Speaker 1: But I think, really, what we need to be doing,

861
00:50:18,680 --> 00:50:21,680
Speaker 1: and I think that's a place where I'm finding myself

862
00:50:21,719 --> 00:50:24,360
Speaker 1: at is like I'm not going to accommodate white supremacy.

863
00:50:25,120 --> 00:50:28,000
Speaker 1: So that means if I see it, I will call

864
00:50:28,040 --> 00:50:30,680
Speaker 1: it out. I'm not gonna I'm not gonna be like, oh,

865
00:50:30,760 --> 00:50:33,359
Speaker 1: there's white supremacy. You know. That was like a very

866
00:50:33,719 --> 00:50:37,960
Speaker 1: twenty seventeen nineteen way of being like why what what

867
00:50:38,000 --> 00:50:40,200
Speaker 1: there it is? I mean, we see it, But then

868
00:50:40,280 --> 00:50:41,879
Speaker 1: I you know, I was living in a reality where

869
00:50:41,920 --> 00:50:43,680
Speaker 1: you see it, and then like, yeah, if enough people

870
00:50:43,680 --> 00:50:46,000
Speaker 1: on Twitter know who this person is, maybe they'll get fired.

871
00:50:46,040 --> 00:50:49,480
Speaker 1: And that's the little bit of justice. I can taste um,

872
00:50:49,640 --> 00:50:51,960
Speaker 1: but I think we got eyes on bigger prizes. Now.

873
00:50:53,160 --> 00:50:58,719
Speaker 1: The status quo is not inherently good, like Americans have

874
00:50:58,960 --> 00:51:01,560
Speaker 1: loved to tell or so this style of quote of

875
00:51:01,600 --> 00:51:05,680
Speaker 1: America is not that America is inherently good. It's that

876
00:51:05,760 --> 00:51:12,000
Speaker 1: it's inherently white supremacists. America's soul is not inherently good.

877
00:51:12,239 --> 00:51:15,160
Speaker 1: Like I mean, I cannot I can just hear Biden

878
00:51:15,280 --> 00:51:20,000
Speaker 1: saying that, like, deep down Americans are good and Americans

879
00:51:20,080 --> 00:51:24,000
Speaker 1: deep down our white supremacist and that is something that

880
00:51:24,080 --> 00:51:29,399
Speaker 1: needs to be actively addressed constantly on a daily basis. Yes,

881
00:51:29,640 --> 00:51:31,880
Speaker 1: I just want to yes, and that so much. You know,

882
00:51:33,000 --> 00:51:37,480
Speaker 1: when there's a high profile racist incident, so many of

883
00:51:37,520 --> 00:51:40,680
Speaker 1: my like well meaning white friends always rushed to be like,

884
00:51:40,719 --> 00:51:42,960
Speaker 1: this isn't who America is. America is better than that,

885
00:51:43,320 --> 00:51:47,319
Speaker 1: better than that. It's like where when when was America better? Like?

886
00:51:47,320 --> 00:51:49,520
Speaker 1: Like this is who we are? I think that that,

887
00:51:49,640 --> 00:51:52,040
Speaker 1: like that that distinction, Jack, that you just talked about,

888
00:51:52,080 --> 00:51:56,839
Speaker 1: Like it's uncomfortable and difficult. I think for a lot

889
00:51:56,880 --> 00:52:00,000
Speaker 1: of people to swallow that this is who a mayor

890
00:52:00,440 --> 00:52:04,680
Speaker 1: is and getting back to normal quote unquote, getting back

891
00:52:04,719 --> 00:52:07,360
Speaker 1: to the status quo would just be a return to

892
00:52:07,520 --> 00:52:10,799
Speaker 1: all of these oppressive, fucked up, toxic systems that have

893
00:52:11,000 --> 00:52:13,239
Speaker 1: ranched it for so long, because this is who we are.

894
00:52:13,320 --> 00:52:15,759
Speaker 1: You know, when we say like, oh, it's a broken system,

895
00:52:15,800 --> 00:52:18,640
Speaker 1: it's not really broken, like we've we've chos We've chosen

896
00:52:18,640 --> 00:52:20,200
Speaker 1: to set it up this way, and that's the system

897
00:52:20,239 --> 00:52:22,960
Speaker 1: that we have. So like, if you don't like the system,

898
00:52:23,000 --> 00:52:24,920
Speaker 1: it's not that it's broken, it's it's functioning the way

899
00:52:24,960 --> 00:52:27,600
Speaker 1: it was designed to function, which is badly if you're

900
00:52:27,640 --> 00:52:32,319
Speaker 1: black or brown. Brody. Finally, what is a mess? What's

901
00:52:32,360 --> 00:52:34,600
Speaker 1: something people think is true you know to be false

902
00:52:34,680 --> 00:52:38,239
Speaker 1: ervice versa Um. Something that people think it's true and

903
00:52:38,320 --> 00:52:41,839
Speaker 1: I absolutely know to be false is that you do

904
00:52:41,960 --> 00:52:45,200
Speaker 1: not have to check up on black people right now. Um,

905
00:52:45,760 --> 00:52:51,440
Speaker 1: the past like week UM has been really busy for

906
00:52:51,480 --> 00:52:55,040
Speaker 1: me personally, Like I've been like I've been kind of six,

907
00:52:55,080 --> 00:52:57,160
Speaker 1: so i haven't been really able to go out and protests,

908
00:52:57,160 --> 00:52:59,720
Speaker 1: So I've been really active online. I've been like sharing

909
00:52:59,800 --> 00:53:03,680
Speaker 1: lyne and stuff like that, and um, there's also likener

910
00:53:03,960 --> 00:53:07,680
Speaker 1: um and attention from the entertainment industry. So I'm like

911
00:53:08,200 --> 00:53:11,920
Speaker 1: I gotta like get my resume together. I gotta like

912
00:53:12,480 --> 00:53:15,040
Speaker 1: finish some scripts so I can send the people. Ironically,

913
00:53:15,200 --> 00:53:17,600
Speaker 1: during this time where I should just be taking care

914
00:53:17,640 --> 00:53:20,320
Speaker 1: of my own you know, like mental health and stuff.

915
00:53:20,600 --> 00:53:24,160
Speaker 1: And even though people have good intentions when they like

916
00:53:24,440 --> 00:53:26,960
Speaker 1: call to like check up and like text and stuff,

917
00:53:27,239 --> 00:53:30,759
Speaker 1: I think I answered probably like a hundred check ins

918
00:53:30,840 --> 00:53:37,360
Speaker 1: last week, UM, and I don't want to anymore. UM.

919
00:53:37,400 --> 00:53:39,840
Speaker 1: One of the first things I saw on Facebook for

920
00:53:40,520 --> 00:53:44,160
Speaker 1: um white people to do during this time was just

921
00:53:44,200 --> 00:53:46,520
Speaker 1: like a list of things you could do to like

922
00:53:46,560 --> 00:53:49,160
Speaker 1: examine your own self, and one of the very first

923
00:53:49,200 --> 00:53:51,920
Speaker 1: ones was to check up on your black friends. And

924
00:53:51,960 --> 00:53:55,080
Speaker 1: I screamed at my computer. I was like, no, we

925
00:53:55,120 --> 00:53:58,680
Speaker 1: don't need it. I mean, I'm only speaking for myself really,

926
00:53:58,800 --> 00:54:02,560
Speaker 1: but UM, just if you're gonna check in, don't make

927
00:54:02,640 --> 00:54:05,640
Speaker 1: it like a like a five thousand word essay. UM.

928
00:54:05,680 --> 00:54:09,120
Speaker 1: I have gotten a couple of those um recently. I

929
00:54:09,200 --> 00:54:11,760
Speaker 1: have not answered them, and I won't. I'm just gonna

930
00:54:11,760 --> 00:54:13,960
Speaker 1: pretend that they got lost to the mail or something,

931
00:54:15,560 --> 00:54:17,479
Speaker 1: or then it just has to be okay that sure

932
00:54:17,560 --> 00:54:20,280
Speaker 1: you sent it, but I'm we're not obligated to respond

933
00:54:20,320 --> 00:54:22,319
Speaker 1: to it, you know. I think that's the other thing,

934
00:54:22,360 --> 00:54:25,920
Speaker 1: and I I had to I just stopped responding because

935
00:54:26,480 --> 00:54:30,560
Speaker 1: it was so much labor too. Then, like because half

936
00:54:30,560 --> 00:54:33,680
Speaker 1: the time there are were people who I think weren't

937
00:54:33,680 --> 00:54:36,680
Speaker 1: even like looking for I'm like a good you think

938
00:54:36,680 --> 00:54:38,680
Speaker 1: I'm like one of the good white people, right, because

939
00:54:38,680 --> 00:54:39,920
Speaker 1: there there are there are a few, there are a

940
00:54:39,920 --> 00:54:43,319
Speaker 1: few buckets these things fall into. Some are like I

941
00:54:43,400 --> 00:54:46,279
Speaker 1: just want to tell you, like I like, I get

942
00:54:46,320 --> 00:54:49,360
Speaker 1: it now, and like and I'm like, I have a

943
00:54:49,360 --> 00:54:51,200
Speaker 1: lot of work to do. That's one. I'm like, great,

944
00:54:51,280 --> 00:54:53,279
Speaker 1: I'm not gonna respond to that because that that actually

945
00:54:53,320 --> 00:54:54,920
Speaker 1: sounds like a person who knows they don't need to

946
00:54:54,920 --> 00:54:59,280
Speaker 1: be responded to. They just wanted to affirm like their solidarity. Yeah,

947
00:55:00,160 --> 00:55:04,360
Speaker 1: close friends are close. Are are different than um people

948
00:55:04,360 --> 00:55:06,120
Speaker 1: who I haven't talked to you in like a year,

949
00:55:06,280 --> 00:55:09,719
Speaker 1: who haven't seen in like several years. It's like you

950
00:55:09,760 --> 00:55:12,680
Speaker 1: can check out on me a month from now when

951
00:55:12,719 --> 00:55:15,760
Speaker 1: you know that might like honestly, like, as a comedian,

952
00:55:16,640 --> 00:55:18,839
Speaker 1: one of the worst feelings is right when you're about

953
00:55:18,880 --> 00:55:21,239
Speaker 1: to go on stage and you're going through your set

954
00:55:21,320 --> 00:55:25,839
Speaker 1: in your head um and you're trying to concentrate and

955
00:55:25,880 --> 00:55:31,560
Speaker 1: someone tries to strike up a conversation. My brain has

956
00:55:31,600 --> 00:55:37,839
Speaker 1: felt like that moment um like all week. Um so

957
00:55:37,960 --> 00:55:40,520
Speaker 1: like finally, I've feel like taken some time to decompress

958
00:55:40,840 --> 00:55:42,680
Speaker 1: because there was a minute where I really had to

959
00:55:42,760 --> 00:55:45,839
Speaker 1: like look at my like I had to check in

960
00:55:45,880 --> 00:55:48,279
Speaker 1: with myself, and I realized that I was just like

961
00:55:48,480 --> 00:55:52,719
Speaker 1: I am in a manic state because of things going

962
00:55:52,719 --> 00:55:56,239
Speaker 1: on in the world, and the what I don't need

963
00:55:56,320 --> 00:56:00,600
Speaker 1: right now is the that added guilt of not texting

964
00:56:00,600 --> 00:56:03,920
Speaker 1: a friend back, which is which is something. I answered

965
00:56:03,920 --> 00:56:07,440
Speaker 1: all of those texts except for the one in my mind.

966
00:56:07,560 --> 00:56:10,240
Speaker 1: I just I resolved in myself. I'm like, I pray

967
00:56:10,360 --> 00:56:13,800
Speaker 1: for somebody be like, um, hello back to me, because

968
00:56:13,840 --> 00:56:17,040
Speaker 1: I already had the fucking I would have would have

969
00:56:17,080 --> 00:56:23,120
Speaker 1: gotten third degree burns from their phone's And that's how

970
00:56:23,160 --> 00:56:24,759
Speaker 1: I lived with it, because I'm like, I'm not in

971
00:56:24,800 --> 00:56:28,640
Speaker 1: a situation at all or objectively I'm being rude. I'm

972
00:56:28,680 --> 00:56:32,120
Speaker 1: like people are dealing with generational trauma in their own ways.

973
00:56:32,160 --> 00:56:34,080
Speaker 1: I had to do the same thing, Brody. I was

974
00:56:34,120 --> 00:56:39,040
Speaker 1: so angry. I became useless, I became inert, and I

975
00:56:39,080 --> 00:56:41,920
Speaker 1: realized I had to begin to put these things on

976
00:56:41,920 --> 00:56:43,640
Speaker 1: a scale, I say, what do I what do I

977
00:56:43,680 --> 00:56:46,000
Speaker 1: want to do if I can stay angry or do

978
00:56:46,040 --> 00:56:47,839
Speaker 1: I actually want to have my head in this game

979
00:56:47,880 --> 00:56:50,319
Speaker 1: to be able to give everything I have, Because if, if, if,

980
00:56:50,480 --> 00:56:52,520
Speaker 1: if I want to stay in the game, I really

981
00:56:52,520 --> 00:56:54,880
Speaker 1: have to take a second to make sure I know

982
00:56:54,920 --> 00:56:57,600
Speaker 1: how to step back onto the field again, because I

983
00:56:57,680 --> 00:57:01,880
Speaker 1: was just running around out like gas. Yeah. They if

984
00:57:01,880 --> 00:57:04,440
Speaker 1: they had texting back in the civil rights movement, like

985
00:57:04,480 --> 00:57:07,399
Speaker 1: in the sixties, um, we would have heard the same thing.

986
00:57:07,440 --> 00:57:13,200
Speaker 1: I'm sure so so yeah, it's it's definitely, yeah, it's

987
00:57:14,080 --> 00:57:18,280
Speaker 1: it's tough, but yeah, don't don't again, I tell everybody else.

988
00:57:18,680 --> 00:57:20,680
Speaker 1: I will be more impressed when I see people like

989
00:57:20,800 --> 00:57:22,960
Speaker 1: if somehow I see a viral video of you, like

990
00:57:23,040 --> 00:57:26,520
Speaker 1: cursing out your races dad. Yeah, like in doing that

991
00:57:26,680 --> 00:57:29,680
Speaker 1: and flipping your Thanksgiving table because someone decided to say

992
00:57:29,680 --> 00:57:33,480
Speaker 1: black all lives matter, Frankie or some ship. You know,

993
00:57:33,800 --> 00:57:36,640
Speaker 1: that's I'm like, wow, don't talk about it, be about it.

994
00:57:36,640 --> 00:57:38,160
Speaker 1: And I don't. And I think the other thing too

995
00:57:38,200 --> 00:57:41,120
Speaker 1: is we'll probably get into this with that tone deaf

996
00:57:41,280 --> 00:57:46,600
Speaker 1: celebrity video heard. We've heard enough words. We've heard enough words,

997
00:57:46,640 --> 00:57:48,640
Speaker 1: So like at this point, they have no frecking meaning

998
00:57:48,680 --> 00:57:53,280
Speaker 1: they really don't. Yeah, and was it isn't my imagination

999
00:57:53,520 --> 00:57:55,960
Speaker 1: because I've only seen the video once. Was that video

1000
00:57:55,960 --> 00:57:57,920
Speaker 1: in black and white or was it in calle? No?

1001
00:57:58,040 --> 00:58:00,200
Speaker 1: You know, we got we got into this man black

1002
00:58:00,280 --> 00:58:04,200
Speaker 1: and white, the monochrome, the nuances man of the ascetic

1003
00:58:04,280 --> 00:58:07,760
Speaker 1: helps set up the black white binary. That's why it

1004
00:58:07,800 --> 00:58:10,760
Speaker 1: has depth, not because people don't know how to color balance,

1005
00:58:11,120 --> 00:58:17,920
Speaker 1: or people's skin was looking weird and lacy. Finally, what

1006
00:58:18,040 --> 00:58:20,240
Speaker 1: is a myth? What's something people think it's true you

1007
00:58:20,280 --> 00:58:24,320
Speaker 1: know to be false. Um, this is probably random, But

1008
00:58:25,280 --> 00:58:29,800
Speaker 1: my myth is that Guy Fieri is a douche bag, because, um,

1009
00:58:29,960 --> 00:58:33,800
Speaker 1: Guy Fieri is a great guy, and he's donated millions

1010
00:58:33,800 --> 00:58:37,840
Speaker 1: of dollars to unemployed restaurant workers. He's openly spoken out

1011
00:58:37,880 --> 00:58:41,360
Speaker 1: about black lives matter, long before we reached this point

1012
00:58:41,400 --> 00:58:45,080
Speaker 1: with George Floyd and Brianna Taylor and mart Aubrey. UM's

1013
00:58:45,320 --> 00:58:48,360
Speaker 1: he's out here for the people. And and all this time,

1014
00:58:48,440 --> 00:58:50,880
Speaker 1: you know, I feel like we've been kissing asses of

1015
00:58:51,000 --> 00:58:55,480
Speaker 1: other problematic as chefs because we thought that his shirts

1016
00:58:55,520 --> 00:59:01,280
Speaker 1: and spiky hair were ratchet. But he's actually a great guy.

1017
00:59:02,000 --> 00:59:07,240
Speaker 1: But I love him. Agree. He's got a good heart

1018
00:59:07,320 --> 00:59:09,320
Speaker 1: and he like I don't know, he like walks the

1019
00:59:09,360 --> 00:59:11,920
Speaker 1: walk as well. Like he gives, he gives back. He

1020
00:59:11,960 --> 00:59:15,280
Speaker 1: doesn't just say stuff. Yeah, I mean like i've him

1021
00:59:15,280 --> 00:59:18,480
Speaker 1: look out to, like when he was out at protests

1022
00:59:18,520 --> 00:59:21,240
Speaker 1: in DC for Black Lives Matter, Like he's been around

1023
00:59:21,360 --> 00:59:25,280
Speaker 1: and like he's donated so much money to where the causes,

1024
00:59:25,320 --> 00:59:28,360
Speaker 1: Like just googling it, I was like, is he a saint?

1025
00:59:31,040 --> 00:59:33,400
Speaker 1: We should start making prayer candles with him. I bet

1026
00:59:33,440 --> 00:59:37,080
Speaker 1: they exist, right, I want a Guy Fiery prayer candle

1027
00:59:37,480 --> 00:59:41,840
Speaker 1: so badly. But I just think we always looked down

1028
00:59:41,840 --> 00:59:44,960
Speaker 1: on him. Yeah, Miles was talking on a recent episode

1029
00:59:45,000 --> 00:59:49,800
Speaker 1: about how his relationship to Guy Fiery really made him

1030
00:59:50,000 --> 00:59:54,120
Speaker 1: like he had almost a spiritual experience in reevaluating how

1031
00:59:54,160 --> 00:59:58,680
Speaker 1: he feels about Guy Fiery. Yeah, I'm the same way.

1032
00:59:59,000 --> 01:00:03,760
Speaker 1: Like celebrities just occupy brands and you know, like Einstein

1033
01:00:04,120 --> 01:00:06,840
Speaker 1: is still the smart guy brand, Jordan's is still the

1034
01:00:07,040 --> 01:00:10,720
Speaker 1: basketball brand, and like I feel like Guy Fierry, like

1035
01:00:11,280 --> 01:00:14,200
Speaker 1: and Larry the cable guy kind of got mixed up

1036
01:00:14,280 --> 01:00:18,400
Speaker 1: at some point, like in our national consciousness and they're

1037
01:00:18,440 --> 01:00:23,480
Speaker 1: just like fully, fully different. That's exactly what it is.

1038
01:00:23,520 --> 01:00:26,400
Speaker 1: Because I think that guy theories aesthetic has long been

1039
01:00:26,440 --> 01:00:30,440
Speaker 1: co opted by racists and by just kind of like

1040
01:00:30,560 --> 01:00:33,880
Speaker 1: the you know, the white people that you really just disdain,

1041
01:00:34,400 --> 01:00:36,840
Speaker 1: like that one uncle in the family that she's like,

1042
01:00:36,880 --> 01:00:38,960
Speaker 1: oh God, he's coming and you know he's going to

1043
01:00:39,040 --> 01:00:42,800
Speaker 1: be drunk off beers and doing all his blackie jokes. Uh.

1044
01:00:42,840 --> 01:00:45,120
Speaker 1: And we just thought that that was what guy Fiery

1045
01:00:45,240 --> 01:00:47,360
Speaker 1: was doing because of how he dressed and how he

1046
01:00:47,480 --> 01:00:51,840
Speaker 1: talked and the food he cooks. Uh, we were wrong.

1047
01:00:52,240 --> 01:00:56,640
Speaker 1: So we weren't listening. Yeah no, And there's so many

1048
01:00:56,640 --> 01:00:59,600
Speaker 1: people getting canceled right now, quote unquote, So it's nice

1049
01:00:59,640 --> 01:01:03,080
Speaker 1: to like lift somebody up and not all be so bad.

1050
01:01:03,080 --> 01:01:05,240
Speaker 1: And hopefully guy doesn't go back. But he seems to

1051
01:01:05,280 --> 01:01:07,240
Speaker 1: have been doing the right thing for many years now,

1052
01:01:07,280 --> 01:01:13,120
Speaker 1: so I'm not worried about having to walk this back. Somebody, Uh,

1053
01:01:13,160 --> 01:01:16,160
Speaker 1: somebody tweeted a picture of his hands, and just yet

1054
01:01:16,200 --> 01:01:19,560
Speaker 1: another lovable thing is he has a plump, little baby hands.

1055
01:01:20,040 --> 01:01:23,160
Speaker 1: Uh little, They're not the size of a baby. They're

1056
01:01:23,200 --> 01:01:27,480
Speaker 1: like grown upsized hands that are in the shape of

1057
01:01:27,480 --> 01:01:33,040
Speaker 1: a plump little baby hand. Um. I know, they's got

1058
01:01:33,040 --> 01:01:37,960
Speaker 1: to be so song. I thought that's Jack's contribution. He's

1059
01:01:37,960 --> 01:01:44,640
Speaker 1: like and he also has plump baby. Okay, topic and

1060
01:01:48,200 --> 01:01:53,280
Speaker 1: he's great. All Right, that's gonna do it for this

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Speaker 1: week's weekly Zeitgeist. Please like and review the show. If

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Speaker 1: you like the show, H means the world of Miles.

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Speaker 1: He needs your validation. Folks. I hope you're having a

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Speaker 1: great weekend and I will talk to you Monday. By