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Speaker 1: Hello the Internet, and welcome to season one, thirty seven,

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Speaker 1: Episode three of Days Guys production of I Heart Radio.

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

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Speaker 1: into America's shared consciousness and say, officially, off the top,

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Speaker 1: fuck the Koch Brothers, fuck Fox News, fuck Rush Limbaugh,

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Speaker 1: and fuck Buck Sexton. Uh, my name is Jack O'Brien.

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Speaker 1: A K. Gott do pull up that? A K A

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Speaker 1: What do I do with that? A K? Guess A

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Speaker 1: cab a cabra. Don't let them reach out and grab

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Speaker 1: you a cab a cabra. Those bastards is gonna stab you.

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Speaker 1: That's courtesy if Christie. I'm Gucci main uh and I'm

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Speaker 1: thrilled to be joined as always by my co host, or,

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Speaker 1: as for the past couple of days, by my co

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Speaker 1: host Jamie loft U a k A substitute teacher Jamie

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Speaker 1: a K. My Bobu Frick T shirt came in the

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Speaker 1: mail after two months this morning, I'll tell you, all right,

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Speaker 1: what is your Babu Frick T shirt? Oh? Is that

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Speaker 1: what you're wearing right Nowfully, just the only Babu Frick

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Speaker 1: T shirt on the market. It's really hard to find,

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Speaker 1: is that from the TV show. No, No, it's just

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Speaker 1: a character that's in like two scenes in the Rise

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Speaker 1: of Skywalker is the only two scenes that I truly,

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Speaker 1: profoundly enjoyed. But I think Baby Yoda just kind of

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Speaker 1: ended up casting a shadow over Babu Frick. And you know,

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Speaker 1: we're we're a small but but you know, powerful community

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Speaker 1: and we we finally got a shirt from hot topic

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Speaker 1: dot com the left tell yeah, they make my favorite shirts.

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Speaker 1: Are you Are you a War's head Jamie, No, No,

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Speaker 1: I don't. I don't know that much about the Star War.

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Speaker 1: I hear that there's been several Star Wars. I type

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Speaker 1: people's word for it. I just, uh, you know, I

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Speaker 1: get I. I also didn't enjoy the Rise of Skywalker,

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Speaker 1: but I like this whole character and I've never went.

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Speaker 1: And now, as the tenants, I get emails a day

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Speaker 1: from hot topic dot com. So nice keep me posted

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Speaker 1: on any good deals that come across your desk. The

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Speaker 1: deals are plentiful, always in the market for some lukewarm

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Speaker 1: to hot topics. Well, we are thrilled to be joined

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Speaker 1: in our third seat by one of the very faces

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Speaker 1: on mountain site more. She is the hilarious She is

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Speaker 1: the talented. She is the scam goddess. Lacey Mosley, Hey,

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Speaker 1: I got doing good. It's good, but my voice sounds

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Speaker 1: different because I've been shouting a lot and I know

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Speaker 1: how to do it from the die of Ram, but

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Speaker 1: it's still feels like it's a little horse. I was

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Speaker 1: shouting a lot of protests to the point where people

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Speaker 1: will come over with Ricola's and water and tea like

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Speaker 1: you guys, I was. I guess we're we're all adapting

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Speaker 1: to becoming better protesters. We gotta have some more ricola

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Speaker 1: people on the ground. Yeah, I've also talked to people,

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Speaker 1: and I talked about this on Twitter jokingly, but you know,

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Speaker 1: Black Lives Matter and a lot of people who have

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Speaker 1: been protesting have been on the streets, you know, every

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Speaker 1: single Wednesday, many many, you know, for many years. But

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Speaker 1: it's fun and interesting to see so many new like

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Speaker 1: non POC and white faces at these protests, like most

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Speaker 1: of the time outnumbering the black and brown people simply

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Speaker 1: because of the proportions of the city. And you get

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Speaker 1: new fun things that come with that, like no rhythm,

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Speaker 1: no more. You know, there's certain chance that people always say,

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Speaker 1: like say her name, you know, the black Lives Matter chance.

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Speaker 1: But it's fun because if all the black Lives Matter

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Speaker 1: people who have been protesting start to get to congealed,

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Speaker 1: or if we're if we're too spread out because there's

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Speaker 1: thousands of people, then white people have to lead the

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Speaker 1: protest chance. And boy have I been hearing some hilarious

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Speaker 1: white people protest chance. Um my favorite right now is

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Speaker 1: what's her name? Brianna Dayless? Like just like that, doesn't

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Speaker 1: guy just not know her name? What's her name? Again? Yeah?

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Speaker 1: And I love it. I love it. I could not

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Speaker 1: be more proud of these white people out here just

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Speaker 1: trying the best they can, clapping on the one in

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Speaker 1: the three for justice, for justice, I've been enjoying, uh people,

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Speaker 1: who I mean, it's I don't have the confidence in

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Speaker 1: any situation to start a chance on my own. I

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Speaker 1: just don't. I don't possess that, Like I can't do it.

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Speaker 1: But I do admire someone who starts a chance and

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Speaker 1: then bails in the middle of it, and everyone around

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Speaker 1: them is just like what do we do? Like what

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Speaker 1: were they going to say? Wait, bail's mid in the

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Speaker 1: middle of starting. Yeah. Like, if I've been in an

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Speaker 1: area of like a protest crowd that like is get

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Speaker 1: like has just been quieter that like then someone will start.

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Speaker 1: But there was a time I think it was like

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Speaker 1: last Thursday or Friday, where someone was like what's this

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Speaker 1: and then just like bailed in the middle and everyone's like, oh,

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Speaker 1: what do we do? And just we finish it? Yeah, yeah,

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Speaker 1: this person needs support. What is the proper amount number

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Speaker 1: of like times that you shout something without anyone joining

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Speaker 1: you before you're like, okay, that's that's not happening. I

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Speaker 1: can answer this because it recently happened during the Hobywood protests.

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Speaker 1: That's another thing is like some people just don't understand protesting,

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Speaker 1: so like when people do call in response, they don't

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Speaker 1: get like the reason we do that is so when

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Speaker 1: people are walking by or if they're listening, they know

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Speaker 1: why we're protesting and they know what we want. But

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Speaker 1: some people don't know, and so they're kind of just

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Speaker 1: at you know, angry black Coachella. I would say, I

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Speaker 1: would say like three times, I give them three times

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Speaker 1: to be like, hey guys, this is what you should do.

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Speaker 1: And it only happened once at the Hollywood protests when

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Speaker 1: it was just it was so lit out there and

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Speaker 1: I was like, you know what, I understand y'all. Y'all

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Speaker 1: have y'all signs, turn up. Just glad you're here. Drone

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Speaker 1: shots are gonna be great. Yeah. Uh, that y G

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Speaker 1: video is going to be great. Um. Yes, all right, Lacy,

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

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Speaker 1: better in a moment. First, we're gonna tell our listeners

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Speaker 1: a couple of the things we're talking about today. We

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Speaker 1: are going to talk about this radical idea of police

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Speaker 1: may require licensing going forward, which is another one of

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Speaker 1: these light like the eight that can't wait, like one

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Speaker 1: of those ideas where it's like, wait, what, that's not

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Speaker 1: the official policy already. We'll talk about Camden, New Jersey briefly. Uh.

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Speaker 1: They are a place that abolished their police disbanded their

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Speaker 1: police department a few years back, and how that worked.

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Speaker 1: We'll talk about how the mainstream media is covering the

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Speaker 1: protests right now, how Trump is responding to the protests,

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Speaker 1: and where we are with coronavirus, all of that plenty more.

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Speaker 1: But first, Lacy, what is something from your search history

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Speaker 1: that is revealing about who you are? Um? So, my

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Speaker 1: search history right now, it's I feel like in the

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Speaker 1: current climate. I'm trying to keep a balance of like, yes,

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Speaker 1: I'm feeding people constant information and I'm receiving and learning

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Speaker 1: as much as possible, but also just like some dumb

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Speaker 1: ship so that my brain just doesn't fall apart. And

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Speaker 1: this is one of those things that is still rooted

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Speaker 1: in activism, but dumb shit. UM. I recently got caught

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Speaker 1: wave of like the company dolls Kill, and you know,

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Speaker 1: they were doing some very inappropriate things when it comes

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Speaker 1: to Black lives matter. And then also people were like,

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Speaker 1: this isn't the first time, like they've been doing this.

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Speaker 1: So they issued an apology and somebody tweeted or Helen

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Speaker 1: tweeted shout out to Helen. She tweeted, I'm losing it

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Speaker 1: thinking about graphic designers being asked to design apologies but

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Speaker 1: keep it on brands. So they have like she has

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Speaker 1: all these photos of different brands and dolls Kills is like,

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Speaker 1: we fucked up. We should have been quicker plus louder.

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Speaker 1: And then I was like really starting to get interested

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Speaker 1: in dolls Kill, um. So I started going on their

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Speaker 1: website and like looking at their clothes. It's basically like

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Speaker 1: hot topic for like hoochies, which I'm a hoochie, so

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Speaker 1: you know, I was like, they got things over here,

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Speaker 1: then a hoochie would enjoy UM. But obviously I can't

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Speaker 1: purchase from them right now. So I was in this

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Speaker 1: conversation more deeply. And why did we discover an email

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Speaker 1: from someone who reached out to the company. I think

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Speaker 1: it was actually Helen Um because she found a costume

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Speaker 1: up on the website that was racist and she reached

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Speaker 1: out to them, and wait, I have to read you

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Speaker 1: guys this email because then I was like, who are

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Speaker 1: these people? And I don't know, I need more UM.

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Speaker 1: So the email says, hey, don the last thing Dolls

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Speaker 1: Killed would be or represent is racist. We love and

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Speaker 1: value individuality and originality. Our company was created to represent

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Speaker 1: all dolls of all flavors, colors, ideas, et cetera. We're

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Speaker 1: here for the misfits, mislegits and everything in between. I'm sorry,

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Speaker 1: it gets worked. I'm sorry if that costume offended you,

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Speaker 1: but to call us racist is pretty ridiculous. In all

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Speaker 1: caps with brassy sassy wait, wait, here's it here it

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Speaker 1: is it gets Every sentence is crazier than the last.

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Speaker 1: We're brassy, sassy, stick it up, yo assy kind of

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Speaker 1: company not for the easily offended norm culture. So take

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Speaker 1: a chill pill and get your panties out of a bunch,

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Speaker 1: because it ain't that serious cutie winky face. This is

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Speaker 1: from a company Like every corny phrase in the space

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Speaker 1: of four sentences that was that, Oh my god, what

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Speaker 1: was company? When just left my body and jumping. So

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Speaker 1: I can't really say anything right now. This email is September,

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Speaker 1: no Jesus, so I don't know if their company policy

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Speaker 1: has changed, But I was like, can you imagine a

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Speaker 1: world where a company emails you like this, Like hell, So,

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Speaker 1: they're like a boutique store right in l A And

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Speaker 1: they've tweeted a picture those like I had a bunch

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Speaker 1: of cops protecting their store and they were like, yeah,

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Speaker 1: come and get it, assholes. Uh. And that was like

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Speaker 1: how this kicked off. And then everyone was like, oh,

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Speaker 1: they're problematic, is fuck they're the worst. Yeah, and they

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Speaker 1: have an online store to um much like the Nasty

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Speaker 1: gal Vibe if you've ever heard of that boutique. But

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Speaker 1: I was just so fascinated, like all I want is

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Speaker 1: more emails from jabs Kill because I need to know

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Speaker 1: if they're still emailing people like this, So I was

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Speaker 1: like searching to see like if anybody else had posted emails,

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Speaker 1: because I was like, why there's that was like attached

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Speaker 1: to the tweet that had where I think like Helen

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Speaker 1: was mentioning how even with the like apology emails, Yeah,

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Speaker 1: like they're still the graphic design is consistent, which you're like,

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Speaker 1: that's so cringe. E of just oh, like graphic design

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Speaker 1: intern who was working on that is listening, please forward

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Speaker 1: the email threat because I can just like picture the

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Speaker 1: like them being like, mmmm, actually let's put funk in

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Speaker 1: there so that we were louder, quicker, louder. That's gonna.

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Speaker 1: What is what something you think is underrated? Um? I

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Speaker 1: think 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. 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 on 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

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Speaker 1: planted to as at the plants don't make noise if

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Speaker 1: you do them water. Yeah, yeah, that's my fear because

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Speaker 1: that is that the alert system you're on right now.

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Speaker 1: It's like, yeah, I'm not responsible enough to keep plants

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Speaker 1: from dying, but it doesn't stop me from trying. How

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Speaker 1: is being a plant parent? Um? It does make me

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Speaker 1: feel better than people. So thank you guys for not

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Speaker 1: owning pants, because now I feel just the superiority of

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Speaker 1: owning a plant. Um. Some of us, you know, create nature,

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Speaker 1: others cannot. Um. You know, like God created the heaven

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Speaker 1: and the earth. I created one plant. Uh No, but

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Speaker 1: it's good. It's still very early, so you know, anything

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Speaker 1: could happen. Don't ask me about this plant the next

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Speaker 1: time that I come on this show, because I don't

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Speaker 1: know if it's good. It sounds like a tinder relationship

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Speaker 1: now to where you're like, so far, so good, but

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Speaker 1: you know, right, what if something you think is overrated?

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Speaker 1: And that's why I didn't want to say this um

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Speaker 1: is the gym. Um. I haven't gone to a physical

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Speaker 1: gym in months, and I thought that I was going

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Speaker 1: to fall apart. But I've found uh this new free

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Speaker 1: gym called Outside and don't need a membership and there's

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Speaker 1: lots of scenery and I'm actually going on a hike

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Speaker 1: later today in Mount Washington to get some different views.

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Speaker 1: But I've I've really enjoyed physically being outside um in

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Speaker 1: a way that I never did before I was just

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Speaker 1: going to the gym. So I think I'm going to

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Speaker 1: add outdoor workouts back to like my gym workouts when

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Speaker 1: the gym opens up, because like it's nice, yeah, and

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Speaker 1: there's not other people sweating all over outside, Like whatever

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Speaker 1: you touch outside is covered in someone's sweat, right, Yeah,

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Speaker 1: it doesn't have a smell to it. I mean it does.

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Speaker 1: I do like the sauna and I do like swimming,

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Speaker 1: but so I'm gonna have my gym. But I do

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Speaker 1: think it's nice. It just feels more endorphin boosting when

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Speaker 1: I'm outside, because I feel like in l A were

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Speaker 1: in our cars or in buildings were not just like

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Speaker 1: outside as much without it being a planned event. Yeah,

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Speaker 1: I I've I thought, I think I've gotten like physically

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Speaker 1: healthier without I don't know, I've like had a gym

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Speaker 1: membership for a time, but I was it was just

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Speaker 1: more as a security blanket to know I could go

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Speaker 1: at some point if I wanted to. Same. Yeah, but yeah,

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Speaker 1: I'll be interested to see, like what the protests affect

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Speaker 1: on corona virus rates is, because it does seem like

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Speaker 1: outdoor has been the thing, like the cure all for

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Speaker 1: the spread of the coronavirus, Like we're told that, like

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Speaker 1: it's much harder to spread it, and you're when you're outdoors,

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Speaker 1: you're much less likely to be like standing next to

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Speaker 1: the same person for a long time. So I'm hoping

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Speaker 1: that I'm hoping for a number of reasons that the

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Speaker 1: protests don't, you know, lead to being out there. Most

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Speaker 1: people are practicing social distancing as much as you can

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Speaker 1: when you're a crowd of twenty people. But everyone I

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Speaker 1: saw pretty much had on a face mask and was

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Speaker 1: yelling through the face mask because that's the issue, is

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Speaker 1: like the droplets and you are yelling a lot more

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Speaker 1: out of protest so but what I from what I saw,

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Speaker 1: and I really wasn't interacting with a lot of strangers.

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Speaker 1: It was a lot of backs of people's heads, and like,

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Speaker 1: so I'm hoping, Hell, I'm hoping I don't got their own.

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Speaker 1: Every day I wake up up and checking my throat

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Speaker 1: and smelling and tasting as hard as I can, and

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Speaker 1: I'm like, uh, yeah, so I think that's why they're

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Speaker 1: opening l A. I saw bars with lines days ago,

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Speaker 1: bars with lines out the door, so everybody's out now.

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Speaker 1: They were like protests all right now the bar? Yeah,

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Speaker 1: that's thinking. Is that seeing the protests lives. I think

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Speaker 1: seeing the protests made people be like, well, now I

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Speaker 1: can go to Applebee's because those people are next to

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Speaker 1: each other. Um, and that's probably not good policy. And

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Speaker 1: I can also see that leading to an uptick and

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Speaker 1: then people being like, see the protests, the protests caused

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Speaker 1: an uptick and coronavirus when it's actually that everybody's going

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Speaker 1: and getting drunk in the same sweaty room together. Yeah,

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Speaker 1: and in places where there's like not great social distancing,

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Speaker 1: and and in states where masks aren't required any more,

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Speaker 1: is like, yeah, it feels like people are going to

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Speaker 1: use this as an excuse. I just wish that people

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Speaker 1: would still practice social distancing and maybe wear a mask

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Speaker 1: if you're going out, Like what's the harm? Like, I

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Speaker 1: don't want people to just start coughing in the air

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Speaker 1: and throw when they when they drop lets, you know,

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Speaker 1: through the stanky leg just because we did a protests,

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Speaker 1: Like yeah, I think it's it is just like equating

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Speaker 1: like the urgency of a Black Lives Matter protest in

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Speaker 1: the urgency of you just wanting to go to a

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Speaker 1: Chilli's is there? It's very different. It's like, you know,

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Speaker 1: I don't know prioritize Lacy. Finally, what is a myth?

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

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Speaker 1: this is probably random, But my myth is that Guy

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Speaker 1: Fieri is a douche bag, because, um, Guy Fieri is

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Speaker 1: a great guy, and he's donated millions of dollars to

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Speaker 1: unemployed restaurant workers. He's openly spoke not about Black Lives Matter,

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Speaker 1: long before we reached this point with George Floyd and

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Speaker 1: Brianna Taylor and Mat Aubrey. Um, he's he's out here

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Speaker 1: for the people and and all this time, you know,

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Speaker 1: I feel like we've been kissing asses of other problematic

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Speaker 1: ass chefs because we thought that his shirts and spiky

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Speaker 1: hair were ratchet. But he's actually a great guy. But

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Speaker 1: I love him. Agree. He's got a good heart, and

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Speaker 1: he like I don't know, he like walks the walk

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Speaker 1: as well. Like he gives, he gives back. He doesn't

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Speaker 1: just say stuff. Yeah, I mean like I can look

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Speaker 1: out to like when he was out at protesting DC

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Speaker 1: for Black Lives Matter, Like he's been around and like

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Speaker 1: he's donated so much money to where the causes, Like

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Speaker 1: just googling it, I was like, is he a saint?

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Speaker 1: We should start making prayer candles with them. I bet

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Speaker 1: they exist, right, I want a Guy Fiery prayer candle

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Speaker 1: so badly. But I just think we always looked down

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Speaker 1: on him. Miles was talking on a recent episode about

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Speaker 1: how his relationship to Guy Fiery really made him like

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Speaker 1: he had almost a spiritual experience in reevaluating how he

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Speaker 1: feels about Guy Fiery. Yeah, I'm the same way, Like

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Speaker 1: celebrities just occupy brands, and you know, like Einstein is

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Speaker 1: still the smart guy brand, Jordan's is still the basketball brand,

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Speaker 1: and like I feel like Guy Fiery like and Larry

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Speaker 1: the Cable guy kind of got mixed up at some point,

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Speaker 1: like in our national consciousness, and they're just like fully

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Speaker 1: fully different. That's exactly what it is, because I think

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Speaker 1: that guy theories aesthetic has long been co opted by

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Speaker 1: racists and by just kind of like the you know,

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Speaker 1: the white people that you really just disdain, like that

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Speaker 1: one uncle in the family that she's like, oh God,

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Speaker 1: he's coming and you know he's going to be drunk

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Speaker 1: off beers and doing all his blackie jokes. Uh. And

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Speaker 1: we just thought that that was what guy here he

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Speaker 1: was doing because of how he dressed and how he

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Speaker 1: talked and the food he cooks. Uh, we were wrong,

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Speaker 1: So we weren't listening. Yeah no, And there's so many

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Speaker 1: people getting canceled right now quote unquote, So it's nice

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Speaker 1: to like lift somebody up and not all be so bad.

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Speaker 1: And hopefully guy doesn't go back. But he seems to

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Speaker 1: have been doing the right thing for many years now,

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Speaker 1: so I'm not worried about having to walk this back. Somebody, Uh,

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Speaker 1: somebody tweeted a picture of his hands, and just yet

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Speaker 1: another lovable thing is he has a plump, little baby hands.

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Speaker 1: Uh little they're not the size of a baby. They're

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Speaker 1: like grown upsized hands that are in the shape of

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Speaker 1: a plump, little baby hand. Um, I know there's got

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Speaker 1: to be So I thought that's Jack's contribute was like

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Speaker 1: and he also has plump by topic, he's great. Alright, guys,

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Speaker 1: let's take a quick break and we'll be right back.

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Speaker 1: And we're back, and so just on the subject, continuing

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Speaker 1: on the subject from yesterday's episode of an inadequate police reforms.

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Speaker 1: It's tough because like these are these would all be uh,

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Speaker 1: steps in the right direction, but it's also we we've

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Speaker 1: had steps in the right direction that have just given

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Speaker 1: way to like the inherent white supremacy of almost every

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Speaker 1: police force in the country. Yeah. Yeah, I mean the

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Speaker 1: police force is their original pation is the slave patrol.

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Speaker 1: And so I think a lot of people are confused

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Speaker 1: when they think that white supremacists have infiltrated the police.

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Speaker 1: They were created for white supremacy and they're doing their

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Speaker 1: job excellently. Um. I think a lot of black people

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Speaker 1: are were no longer at the point where we want

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Speaker 1: reform like eight can wait, uh because seventy two sounds cute,

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Speaker 1: But who are trying to be in that eight not

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Speaker 1: he I don't want to be twenty eight percent murdered.

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Speaker 1: I'm good. I want reform. And so these gestures are

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Speaker 1: absolutely headed in the right direction. And I appreciate that

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Speaker 1: we're creating a dialogue that is about reform, but I mean,

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Speaker 1: defunding the police is the start to this reform. We've tried,

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Speaker 1: We've we we gave them more money and resources and

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Speaker 1: they was just being not asked. Is waiting. I can't

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Speaker 1: believe I got paid taxes to get murdered. I gotta

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Speaker 1: pay the police, don't ask me. So I've I've heard

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Speaker 1: it can wait. And a lot of black activists and

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Speaker 1: UM leaders in the coalition, you know, we we don't approve,

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Speaker 1: not that I'm the leader of this, but the overwhelming

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Speaker 1: majority of the feedback from these propositions has been no, girl,

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Speaker 1: we wanted, we want it all. We we were not

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Speaker 1: coming back to fight uh next week like we tired.

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Speaker 1: So after we discussed it yesterday, I had a few

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Speaker 1: people in my men chese UM and and I guess yeah,

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Speaker 1: I think that I jumped on the show very quickly yesterday,

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Speaker 1: and so I gave a very broad explanation of what

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Speaker 1: it can't wait is I understand that it can't Wait

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Speaker 1: says that the ultimate goal is to abolish the police,

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Speaker 1: but that has nothing to do with the reforms that

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Speaker 1: they're suggesting. These reforms have been tried in various ways

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Speaker 1: in various places, so many times. They're expensive, and we

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Speaker 1: know that they don't work. And I just wanted to

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Speaker 1: pull like a quick quote from the eight to Abolition website.

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Speaker 1: UM that explains way clearer than I possibly could, um

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Speaker 1: why they do not approved of the eight Can't Wait campaign. Um.

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Speaker 1: So they say Campaign zero released at eight can't Wait

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Speaker 1: campaign offering a set of eight reforms that they claim

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Speaker 1: would reduce police killing by sew which we know, um

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Speaker 1: as police in prison abolitionists, we believe that this campaign

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Speaker 1: is dangerous and irresponsible, offering a slate of reforms that

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Speaker 1: have already been tried and failed, that mislead a public

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Speaker 1: newly invigorated to the possibilities of police in prison abolition

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Speaker 1: and that do not reflect the needs of criminalized communities.

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Speaker 1: So that states it better than I ever in my

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Speaker 1: life could um. But yeah, I mean the criticism of

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Speaker 1: eight Can't Wait, like no matter where it's coming from,

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Speaker 1: of like a place of wanting to change this the system.

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Speaker 1: It's just not enough, and we appreciate that everyone is

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Speaker 1: really invigorated to in uh to start with policy. UM.

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Speaker 1: One of the things that we've been kicking, not kicking around,

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Speaker 1: but it actually is a policy that we're trying to

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Speaker 1: get past, is Brianna's Law. Still in the US, forty

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Speaker 1: eight states have no knock warrants, which basically means they

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Speaker 1: can come into they come into your house without knocking

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Speaker 1: whenever they want, as long as they have a warrant

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Speaker 1: from a judge. So that's something that we're trying to

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Speaker 1: get rid of. UM. But I do appreciate that people

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Speaker 1: are really trying to enact policy. But yeah, we we

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Speaker 1: just we've been here so many times that I think

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Speaker 1: this time around, we're really hoping that it's not going

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Speaker 1: to be the same loop of violence, the same uptick

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Speaker 1: of support, and then the same forgetting of these situations

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Speaker 1: that always happens a few weeks after. Yeah, a lot

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Speaker 1: of the suggested UM reforms seem like their effect is

425
00:26:36,400 --> 00:26:39,600
Speaker 1: to make you shocked that those things aren't in place.

426
00:26:39,720 --> 00:26:43,440
Speaker 1: Like that, Licensing is not a requirement for police, even

427
00:26:43,440 --> 00:26:48,680
Speaker 1: though it's a requirement for doctors and hairdressers and like

428
00:26:48,760 --> 00:26:53,119
Speaker 1: literally everything that could impact your life in any in

429
00:26:53,200 --> 00:26:57,600
Speaker 1: any way. And a story that was on CNN actually

430
00:26:57,960 --> 00:27:02,840
Speaker 1: about Camden, New Jersey, which abolished their police years ago,

431
00:27:03,200 --> 00:27:06,960
Speaker 1: and it was after very similar complaints to what's going

432
00:27:07,000 --> 00:27:12,040
Speaker 1: on in Minneapolis, and they've had a lot of success. Um,

433
00:27:12,080 --> 00:27:15,760
Speaker 1: it hasn't been perfect, but they've seen the violent crime

434
00:27:15,800 --> 00:27:18,560
Speaker 1: in the city cut in half. Whereas a lot of

435
00:27:18,600 --> 00:27:21,199
Speaker 1: the people who are so shocked about the idea of

436
00:27:21,200 --> 00:27:26,200
Speaker 1: abolishing the police are are amazed that like people they

437
00:27:26,280 --> 00:27:30,160
Speaker 1: just assumed that because humans are cruel, or their version

438
00:27:30,240 --> 00:27:33,560
Speaker 1: of humanity is cruel, that it's just going to be

439
00:27:34,080 --> 00:27:38,080
Speaker 1: a complete, you know, free for all of people killing

440
00:27:38,119 --> 00:27:41,080
Speaker 1: and robbing each other. And actually, when they abolished their

441
00:27:41,080 --> 00:27:44,359
Speaker 1: police and you know, reformed it in a new way

442
00:27:44,440 --> 00:27:48,439
Speaker 1: that was from the ground up, they saw a violent

443
00:27:48,600 --> 00:27:52,440
Speaker 1: crime cut in half. And the reforms are all things

444
00:27:52,480 --> 00:27:57,280
Speaker 1: like police abolitionists are talking about, like having better representation,

445
00:27:58,040 --> 00:28:02,920
Speaker 1: and yeah, it was just an interesting story that if

446
00:28:03,400 --> 00:28:06,800
Speaker 1: if you are one of the people who's like police

447
00:28:06,840 --> 00:28:10,840
Speaker 1: abolition is a nonstarter, you should at least realize that

448
00:28:10,920 --> 00:28:13,239
Speaker 1: your version of what would happen if the police were

449
00:28:13,280 --> 00:28:16,400
Speaker 1: abolished in your town. You know you need you need

450
00:28:16,440 --> 00:28:19,760
Speaker 1: to learn more because that clearly isn't what happened in

451
00:28:19,760 --> 00:28:22,159
Speaker 1: one of the places that actually did it. Yeah, it's

452
00:28:22,160 --> 00:28:24,680
Speaker 1: like and not for nothing. It's not a nonstarter because

453
00:28:24,680 --> 00:28:28,760
Speaker 1: it's starting, Yeah exactly, and if you google it, it's

454
00:28:28,760 --> 00:28:30,520
Speaker 1: not as scary as it seems. It doesn't mean that

455
00:28:30,560 --> 00:28:32,760
Speaker 1: there won't be people to come that you can call

456
00:28:32,880 --> 00:28:36,000
Speaker 1: to help you. A lot of it is about unarming

457
00:28:36,320 --> 00:28:39,280
Speaker 1: people who should not have guns in the first place.

458
00:28:39,720 --> 00:28:41,680
Speaker 1: You don't need guns to do a wellness check. We've

459
00:28:41,720 --> 00:28:44,520
Speaker 1: seen so many wellness checks go from the person, actually,

460
00:28:44,520 --> 00:28:47,360
Speaker 1: what's fine when we got here, but then we killed them,

461
00:28:47,400 --> 00:28:49,000
Speaker 1: So you know what I mean. There's a certain areas

462
00:28:49,000 --> 00:28:51,360
Speaker 1: of policing that need to be more specialized and have

463
00:28:51,480 --> 00:28:54,440
Speaker 1: people who actually have the skills to help one of

464
00:28:54,480 --> 00:28:58,280
Speaker 1: those domestic violence cases, like what you know, those police

465
00:28:58,320 --> 00:29:00,400
Speaker 1: are helping people who are a big him of to

466
00:29:00,400 --> 00:29:03,719
Speaker 1: make the violence so not proportionately. If you look at

467
00:29:03,720 --> 00:29:05,840
Speaker 1: the numbers, um, And if you look at the numbers

468
00:29:05,880 --> 00:29:11,800
Speaker 1: within the force, whoa that jumps out at you. Um.

469
00:29:11,840 --> 00:29:13,640
Speaker 1: So it's just like there's still going to be people

470
00:29:13,640 --> 00:29:15,440
Speaker 1: to protect and help you, but there's going to be

471
00:29:15,600 --> 00:29:18,320
Speaker 1: care instead of you know what we're getting right now,

472
00:29:18,360 --> 00:29:22,760
Speaker 1: which is just aggressive police who are terrified. Apparently they're

473
00:29:22,760 --> 00:29:25,400
Speaker 1: not always terrified. We've seen those videos. They are killing

474
00:29:25,400 --> 00:29:30,240
Speaker 1: people on purpose. So yeah, google it. It's not it's

475
00:29:30,240 --> 00:29:31,960
Speaker 1: not as crazy as it sounds. It doesn't mean that

476
00:29:32,000 --> 00:29:34,479
Speaker 1: there's just gonna be robbers and cops breaking into your

477
00:29:34,480 --> 00:29:37,080
Speaker 1: home because there's no popo to stop them. Yeah, it's

478
00:29:37,080 --> 00:29:43,480
Speaker 1: not an anarchist like platform. It's organized. There are like

479
00:29:43,760 --> 00:29:46,040
Speaker 1: and and I also understand, like we were talking about

480
00:29:46,040 --> 00:29:48,320
Speaker 1: a little bit yesterday, like everyone is on a pretty

481
00:29:48,320 --> 00:29:50,520
Speaker 1: steep Like most people are on a pretty steep learning

482
00:29:50,520 --> 00:29:52,680
Speaker 1: curve with this stuff. I know I am as well.

483
00:29:53,240 --> 00:29:56,479
Speaker 1: And it's like, you know, two weeks ago, could I

484
00:29:56,520 --> 00:29:59,880
Speaker 1: speak to police abolition at length? No? I couldn't. I

485
00:30:00,040 --> 00:30:02,320
Speaker 1: knew that it was something that I like, I liked

486
00:30:02,320 --> 00:30:04,600
Speaker 1: the concept of, but I couldn't you know, speak to

487
00:30:04,960 --> 00:30:09,080
Speaker 1: it in detail. And so it's like, yeah, just you know,

488
00:30:09,680 --> 00:30:13,479
Speaker 1: learn about places that have already um put things in place,

489
00:30:13,800 --> 00:30:17,960
Speaker 1: learn about police reform and how it has not actually

490
00:30:18,000 --> 00:30:20,640
Speaker 1: serve as much and usually just stands to waste a

491
00:30:20,640 --> 00:30:24,239
Speaker 1: ton of taxpayers money. Like there's you know, we're all

492
00:30:24,320 --> 00:30:30,440
Speaker 1: learning ship police abolition is not as extreme as it sounds,

493
00:30:30,600 --> 00:30:35,040
Speaker 1: and the current version of police is way way more

494
00:30:35,080 --> 00:30:37,400
Speaker 1: extreme than we give it credit for, and then our

495
00:30:37,440 --> 00:30:41,480
Speaker 1: mainstream media gives it credit for, and we're seeing it's

496
00:30:41,560 --> 00:30:45,080
Speaker 1: weird to see mainstream media lie to you while you're

497
00:30:45,120 --> 00:30:49,080
Speaker 1: watching a video like on voiceover, Like we all saw

498
00:30:49,120 --> 00:30:52,680
Speaker 1: in Buffalo where the police officers attacked that seventy five

499
00:30:52,760 --> 00:30:55,800
Speaker 1: year old man. But I listened to voiceover from the

500
00:30:55,840 --> 00:30:58,719
Speaker 1: news that was like he has he fall into the ground,

501
00:30:58,760 --> 00:31:06,640
Speaker 1: and I was, like him to the ground. Ye, running

502
00:31:06,640 --> 00:31:10,000
Speaker 1: over people is not something that we should all want.

503
00:31:10,200 --> 00:31:13,800
Speaker 1: Those people were run over by a car, not not

504
00:31:14,760 --> 00:31:19,840
Speaker 1: attacked by you know, murderous police officer. That's that's the

505
00:31:19,880 --> 00:31:21,760
Speaker 1: thing we're seeing a lot more of that I would

506
00:31:21,880 --> 00:31:25,840
Speaker 1: think would be sort of a an alarming trend is

507
00:31:25,880 --> 00:31:32,000
Speaker 1: white supremacists, police and just loose white supremacists, unaffiliated white

508
00:31:32,000 --> 00:31:36,600
Speaker 1: supremacists driving their cars into into crowds of protesters. But

509
00:31:36,720 --> 00:31:40,080
Speaker 1: it seems like the mainstream media that doesn't that kind

510
00:31:40,080 --> 00:31:43,720
Speaker 1: of goes against the grain of of what their typical

511
00:31:43,880 --> 00:31:47,160
Speaker 1: areas of interest are. It does seem like the Buffalo

512
00:31:47,240 --> 00:31:51,760
Speaker 1: video was a turning point. The you know, people were like,

513
00:31:51,840 --> 00:31:55,920
Speaker 1: that doesn't seem right, and also old white people were

514
00:31:55,960 --> 00:31:58,480
Speaker 1: like that guy looks like me and they just pushed

515
00:31:58,520 --> 00:32:02,200
Speaker 1: him down. What the hey? And so it does seem

516
00:32:02,280 --> 00:32:06,800
Speaker 1: like we're starting to see a deluge of of all

517
00:32:06,840 --> 00:32:09,800
Speaker 1: these police videos and videos of police violence that have

518
00:32:10,000 --> 00:32:12,480
Speaker 1: just been like, I don't know, they've just not been

519
00:32:12,520 --> 00:32:16,040
Speaker 1: showing people. We've we've just only seen like I've seen

520
00:32:16,040 --> 00:32:18,800
Speaker 1: a lot of them on social media for weeks, but

521
00:32:18,880 --> 00:32:21,080
Speaker 1: like now I feel like they're breaking over into the

522
00:32:21,080 --> 00:32:25,880
Speaker 1: mainstream again. It's like shocking that we were in a

523
00:32:26,000 --> 00:32:28,920
Speaker 1: version of reality where that was seen as normal, like

524
00:32:28,960 --> 00:32:31,840
Speaker 1: what we're seeing in these videos. But at the same time,

525
00:32:31,920 --> 00:32:35,560
Speaker 1: I'm glad that people are starting to see them at

526
00:32:35,640 --> 00:32:39,760
Speaker 1: least and that the media is starting to to show them.

527
00:32:39,800 --> 00:32:42,480
Speaker 1: Although at the same time, the media, like the local

528
00:32:42,520 --> 00:32:45,600
Speaker 1: news is no longer covering the marches during daytime TV.

529
00:32:45,720 --> 00:32:50,840
Speaker 1: They're not preempting local programming, so you know, now that

530
00:32:50,920 --> 00:32:54,120
Speaker 1: there's not you know, looting to show footage of looting,

531
00:32:54,160 --> 00:32:57,160
Speaker 1: I feel like, you know, even though the weekend was

532
00:32:57,200 --> 00:33:01,840
Speaker 1: the biggest protests yet they cut in it was it

533
00:33:01,920 --> 00:33:04,880
Speaker 1: was only on CNN it wasn't the local news covering

534
00:33:04,920 --> 00:33:09,200
Speaker 1: it like during the day. Yeah, it's interesting because we've

535
00:33:09,240 --> 00:33:13,280
Speaker 1: seen how Donald Trump has really attacked mainstream media for

536
00:33:13,320 --> 00:33:16,920
Speaker 1: their reporting on his behavior. But the bottom line is

537
00:33:17,000 --> 00:33:21,120
Speaker 1: is that truly mainstream media has almost started to serve

538
00:33:21,200 --> 00:33:25,200
Speaker 1: a purpose of protecting the state and protecting you know,

539
00:33:26,000 --> 00:33:28,920
Speaker 1: the norms, the societal norms that we've had that have

540
00:33:29,040 --> 00:33:33,520
Speaker 1: not been okay. Um. And it's very disheartening and disappointing

541
00:33:33,560 --> 00:33:36,959
Speaker 1: because the news is what is informing most of our

542
00:33:37,040 --> 00:33:40,520
Speaker 1: voter population, and it's the reason Twitter is always shocked

543
00:33:40,840 --> 00:33:44,080
Speaker 1: when someone that we never thought would get elected gets elected,

544
00:33:44,160 --> 00:33:46,880
Speaker 1: because there's a silent majority who they get their news from.

545
00:33:46,880 --> 00:33:50,520
Speaker 1: These people who are being so deeply irresponsible. Um. And

546
00:33:50,520 --> 00:33:54,120
Speaker 1: our politicians are afraid of the police. The Blagio got

547
00:33:54,160 --> 00:33:57,320
Speaker 1: on television and told people that he thought it was

548
00:33:57,400 --> 00:34:01,240
Speaker 1: fine that the police ran over his It doesn't he

549
00:34:01,440 --> 00:34:05,160
Speaker 1: said it. He said it in l A. Our own

550
00:34:05,200 --> 00:34:07,760
Speaker 1: police chief got on the news and blamed us for

551
00:34:07,920 --> 00:34:13,080
Speaker 1: killing George Flood. Um. So there's a real disconnect with

552
00:34:13,120 --> 00:34:16,120
Speaker 1: these people, and it comes from the money. Guys. We

553
00:34:16,120 --> 00:34:19,200
Speaker 1: we can't change policy with people who are afraid of

554
00:34:19,239 --> 00:34:22,440
Speaker 1: the police. The police have been threatening him. They've been threatened.

555
00:34:22,440 --> 00:34:25,719
Speaker 1: They docked his daughter in New York marriage. Blagio's daughter,

556
00:34:26,000 --> 00:34:28,040
Speaker 1: like Eric Garcetti out here in l A, is very

557
00:34:28,080 --> 00:34:31,760
Speaker 1: afraid of them as well. Like we cannot change people

558
00:34:31,840 --> 00:34:34,560
Speaker 1: who are thugs and bullies. We have to take their

559
00:34:34,600 --> 00:34:37,919
Speaker 1: money away. It's the only way, right, And I would

560
00:34:37,960 --> 00:34:41,359
Speaker 1: also recommend if, especially for the bigger cities, just look

561
00:34:41,400 --> 00:34:45,680
Speaker 1: at how the police budget dwarfs any social service that

562
00:34:45,800 --> 00:34:50,440
Speaker 1: is being given. There are some horrifying graphics in l A.

563
00:34:50,640 --> 00:34:53,919
Speaker 1: It's overt of the city's budget, but it but from

564
00:34:53,920 --> 00:34:57,160
Speaker 1: city to city. It's just it's billions of dollars being

565
00:34:57,239 --> 00:35:03,680
Speaker 1: invested too. You know, a accomplish what exactly um our

566
00:35:03,719 --> 00:35:06,520
Speaker 1: homeless could be off the street. You could actually walk

567
00:35:06,560 --> 00:35:08,759
Speaker 1: down the street and not be super depressed to see

568
00:35:08,800 --> 00:35:11,799
Speaker 1: people without homes and without care. You know, there's so

569
00:35:11,800 --> 00:35:15,000
Speaker 1: many social programs and services that were neglecting. And like,

570
00:35:15,160 --> 00:35:17,360
Speaker 1: I've been seeing this a lot everywhere. But people are like,

571
00:35:17,400 --> 00:35:20,279
Speaker 1: it's scary to think about defunding the police, But we've

572
00:35:20,320 --> 00:35:23,759
Speaker 1: been defunding healthcare and education, uh since the beginning of

573
00:35:23,800 --> 00:35:26,640
Speaker 1: this country, right, and those are things that you need

574
00:35:27,320 --> 00:35:29,080
Speaker 1: you don't meet cops. Do you wake up every day

575
00:35:29,120 --> 00:35:32,120
Speaker 1: and meet cops? No? Maybe one day someday. As a

576
00:35:32,120 --> 00:35:35,080
Speaker 1: black I try not to call them. If I was

577
00:35:35,080 --> 00:35:37,600
Speaker 1: getting robbed right now, I wouldn't call the place. I'm like, look,

578
00:35:37,640 --> 00:35:42,080
Speaker 1: here are my things, let's just hash this out. My

579
00:35:42,200 --> 00:35:45,480
Speaker 1: good day, sir. It turns into just a meeting, you know,

580
00:35:46,239 --> 00:35:48,520
Speaker 1: stay up, yeah, use those cards in the next three hours,

581
00:35:48,520 --> 00:35:51,239
Speaker 1: because I am going to turn them off. But I

582
00:35:51,400 --> 00:35:55,760
Speaker 1: know it's interesting. I mean even on a local level

583
00:35:55,840 --> 00:35:58,960
Speaker 1: of news reporting, because I know that most of the

584
00:35:59,000 --> 00:36:03,080
Speaker 1: stories that we personally come into contact with our how

585
00:36:03,560 --> 00:36:08,000
Speaker 1: the gigantic city protests are going, and what the reality

586
00:36:08,120 --> 00:36:12,520
Speaker 1: is of being at a protest that becomes people being

587
00:36:13,120 --> 00:36:17,399
Speaker 1: you know, like tear gassed and just driven at at

588
00:36:17,400 --> 00:36:21,200
Speaker 1: the hands of the police, versus how the news spins

589
00:36:21,239 --> 00:36:25,279
Speaker 1: it um. But even on a local level, I was

590
00:36:25,480 --> 00:36:29,319
Speaker 1: there was a protest in my hometown last week, and

591
00:36:30,080 --> 00:36:32,680
Speaker 1: my aunt and uncle went to the beginning and then

592
00:36:32,719 --> 00:36:36,400
Speaker 1: they left and later in the night it's like the Brockton,

593
00:36:36,480 --> 00:36:40,839
Speaker 1: Massachusetts police force just let loose on people before their

594
00:36:40,880 --> 00:36:44,040
Speaker 1: curfew had even started. There was tear gassing, people were

595
00:36:44,160 --> 00:36:47,360
Speaker 1: hurt and all you saw on the news the next morning,

596
00:36:47,480 --> 00:36:50,080
Speaker 1: and how a lot of my family who were not

597
00:36:50,280 --> 00:36:53,719
Speaker 1: there interpreted it was well, things just got wild and

598
00:36:53,760 --> 00:36:56,200
Speaker 1: people started looting. When you know, if you look at

599
00:36:56,239 --> 00:36:58,520
Speaker 1: the accounts of people who were there, there is a

600
00:36:58,760 --> 00:37:02,360
Speaker 1: clearly marked and it's mostly on Twitter and it's mostly

601
00:37:02,440 --> 00:37:06,120
Speaker 1: via live stream, but there's a clear like in in

602
00:37:06,560 --> 00:37:11,359
Speaker 1: like small local places. It's the same everywhere, and it's

603
00:37:11,480 --> 00:37:14,759
Speaker 1: all you see is we'll look at they've smashed the

604
00:37:14,840 --> 00:37:17,240
Speaker 1: duncan donuts and you're like, that is not the point,

605
00:37:17,280 --> 00:37:21,960
Speaker 1: and that neglects so much of what happened. It ignores

606
00:37:22,040 --> 00:37:24,760
Speaker 1: the like the precedent for looting in the first place,

607
00:37:24,920 --> 00:37:28,960
Speaker 1: and it also just ignores everything between a peaceful protest

608
00:37:29,040 --> 00:37:31,279
Speaker 1: and things arriving at that place like that that you

609
00:37:31,320 --> 00:37:34,719
Speaker 1: don't get there and avoid like the police. And I

610
00:37:34,760 --> 00:37:37,560
Speaker 1: don't know, it's it's been bizarre to talk to my

611
00:37:37,680 --> 00:37:40,760
Speaker 1: family about. You know, it's like there's people like people

612
00:37:40,800 --> 00:37:42,799
Speaker 1: I went to high school with where there they were

613
00:37:42,840 --> 00:37:45,840
Speaker 1: tear gas, Like how do you account for that in

614
00:37:46,160 --> 00:37:48,840
Speaker 1: the news that you see, And it's just you know,

615
00:37:48,880 --> 00:37:50,920
Speaker 1: it goes down to a very local level of like

616
00:37:51,000 --> 00:37:56,560
Speaker 1: how how stories are covered and Americans. We've gotten used

617
00:37:56,600 --> 00:37:59,480
Speaker 1: to everybody lying to us. I mean, our president just

618
00:37:59,480 --> 00:38:01,799
Speaker 1: just laugh like it's it's gotten to the point where

619
00:38:01,840 --> 00:38:03,759
Speaker 1: it's not even outrageous anymore. We're like, oh, yeah, he

620
00:38:03,880 --> 00:38:08,080
Speaker 1: lied about that anyways. Um, And it's weird to see

621
00:38:08,160 --> 00:38:10,799
Speaker 1: everybody at every level doing it. The police have been

622
00:38:10,880 --> 00:38:13,840
Speaker 1: lying as much as they possibly can. The mayor and

623
00:38:13,920 --> 00:38:16,080
Speaker 1: Seattle lied and said that they were no longer going

624
00:38:16,160 --> 00:38:18,600
Speaker 1: to tear gas their citizens, but it turned out that

625
00:38:18,600 --> 00:38:20,359
Speaker 1: they had just run out of tear gas and as

626
00:38:20,400 --> 00:38:22,400
Speaker 1: soon as they re up, they started tear gas at

627
00:38:22,440 --> 00:38:26,880
Speaker 1: people again. So you just made this statement as a

628
00:38:26,920 --> 00:38:30,279
Speaker 1: flex because you were literally out of tear gas. Don't

629
00:38:30,280 --> 00:38:32,279
Speaker 1: we care about people? We're no longer going to gas

630
00:38:32,360 --> 00:38:35,279
Speaker 1: shot because we love y'all. Seattle be up. Then the

631
00:38:35,320 --> 00:38:37,760
Speaker 1: next day they were like, oh we got some more, Okay,

632
00:38:37,760 --> 00:38:40,759
Speaker 1: get it out there. We take it back and we

633
00:38:40,800 --> 00:38:42,520
Speaker 1: take it back, we take it back. It's so and

634
00:38:42,520 --> 00:38:45,560
Speaker 1: and even. And I think that there's also like, I mean,

635
00:38:45,680 --> 00:38:49,600
Speaker 1: we've been seeing so many journalists are getting intentionally harmed

636
00:38:49,600 --> 00:38:52,839
Speaker 1: by police, and it's journalists who are trying to be

637
00:38:53,000 --> 00:38:56,960
Speaker 1: on the ground and report the story accurately. Uh, that

638
00:38:57,040 --> 00:39:00,840
Speaker 1: are losing literally losing I and like, you know, go

639
00:39:00,920 --> 00:39:03,920
Speaker 1: to Robert Evans coverage in Portland, like journalists who are

640
00:39:03,920 --> 00:39:06,560
Speaker 1: trying to cover the story on the ground accurately are

641
00:39:06,760 --> 00:39:11,920
Speaker 1: being intentionally targeted. Like yeah, yeah, I mean, if you

642
00:39:11,920 --> 00:39:15,760
Speaker 1: want to get a sense of how the police feel

643
00:39:15,960 --> 00:39:20,440
Speaker 1: about just the general state of affairs right now, the

644
00:39:21,120 --> 00:39:25,680
Speaker 1: NYPD union leader had a press conference and it was

645
00:39:25,760 --> 00:39:32,040
Speaker 1: just like he was so bitter and resentful and petulant,

646
00:39:32,239 --> 00:39:34,960
Speaker 1: and it just felt like you were watching a a

647
00:39:35,120 --> 00:39:38,480
Speaker 1: child have a have a meltdown. But I I think

648
00:39:38,560 --> 00:39:43,720
Speaker 1: that's a very you know, police are very defensive and

649
00:39:44,480 --> 00:39:49,560
Speaker 1: you know, very good at closing lines around one another.

650
00:39:49,920 --> 00:39:56,480
Speaker 1: And I think that's yeah, you're you're that that's going

651
00:39:56,520 --> 00:39:59,280
Speaker 1: to be something that has to be reckoned with as

652
00:39:59,320 --> 00:40:03,600
Speaker 1: as this progresses. All right, let's take another quick break

653
00:40:03,760 --> 00:40:06,880
Speaker 1: and we'll be back to uh talk about Trump's latest

654
00:40:06,920 --> 00:40:20,120
Speaker 1: life and we're back. We we keep talking about this

655
00:40:20,320 --> 00:40:23,759
Speaker 1: video of a Buffalo to Buffalo police officers pushing a

656
00:40:23,840 --> 00:40:27,719
Speaker 1: seventy five year old guy to the ground. He falls back,

657
00:40:28,239 --> 00:40:31,319
Speaker 1: hits his head, starts bleeding out of his ear, and

658
00:40:31,640 --> 00:40:35,040
Speaker 1: is motionless. And it's still in critical condition. As sort

659
00:40:35,040 --> 00:40:38,040
Speaker 1: of a turning point in the way. The media was

660
00:40:38,120 --> 00:40:42,759
Speaker 1: just like, well that's no, no way, no how uh.

661
00:40:42,920 --> 00:40:47,799
Speaker 1: And Trump has come out and put himself firmly on

662
00:40:47,840 --> 00:40:52,880
Speaker 1: the side of the cops in that situation. He's claiming

663
00:40:52,880 --> 00:40:58,520
Speaker 1: that the old guy was an agitator for Antifa, is

664
00:41:00,040 --> 00:41:03,160
Speaker 1: what his statement was, which, Jamie, you were pointing out

665
00:41:03,200 --> 00:41:06,759
Speaker 1: there are like these memes of of like this is

666
00:41:06,800 --> 00:41:09,920
Speaker 1: the leader of Antifa and like it being a squirrel

667
00:41:10,040 --> 00:41:13,080
Speaker 1: or something like that, Like you think Trump saw that?

668
00:41:13,480 --> 00:41:16,399
Speaker 1: Do we think Trump saw one of those and was like,

669
00:41:18,640 --> 00:41:22,319
Speaker 1: who knows? I mean, didn't he am? I Like, he

670
00:41:22,440 --> 00:41:25,279
Speaker 1: like retweeted something about Insecure the other night. There's no

671
00:41:25,320 --> 00:41:28,360
Speaker 1: way to predict what he sees on the internet and

672
00:41:28,440 --> 00:41:31,319
Speaker 1: what he does not see on the internet. What did

673
00:41:31,320 --> 00:41:36,120
Speaker 1: he tweet about Insecure? There was Trump is watching Insecure

674
00:41:36,160 --> 00:41:41,680
Speaker 1: on HBO. He's I saw it. Molly is not a

675
00:41:41,719 --> 00:41:46,600
Speaker 1: good friend. Make Molly great again? Let me find it.

676
00:41:46,640 --> 00:41:48,440
Speaker 1: But all that to say, okay, yeah, it was on

677
00:41:48,480 --> 00:41:53,760
Speaker 1: Franklin Leonard's feet. He retweeted, uh, like a live tweet

678
00:41:54,400 --> 00:41:58,120
Speaker 1: from this week's episode of Insecure, Like who can say,

679
00:41:58,560 --> 00:42:01,600
Speaker 1: I'll source the tweet it And but it. This happened

680
00:42:01,600 --> 00:42:04,840
Speaker 1: on Sunday night, you know. Now now he's saying that

681
00:42:05,000 --> 00:42:08,400
Speaker 1: the old man that we saw assaulted is the is

682
00:42:08,440 --> 00:42:15,640
Speaker 1: a member of Antiva, like an Antiqua Provoca tour, which

683
00:42:15,719 --> 00:42:18,520
Speaker 1: is just again playing into like the joke of that

684
00:42:18,600 --> 00:42:21,120
Speaker 1: meme is like the whole point of Antifa is there's

685
00:42:21,280 --> 00:42:26,440
Speaker 1: not a leader like it's you know, but a lot

686
00:42:26,440 --> 00:42:29,319
Speaker 1: of people don't know that. I guess I don't know,

687
00:42:30,600 --> 00:42:34,120
Speaker 1: but the fact that Antifa is now considered a terrorist

688
00:42:34,200 --> 00:42:37,920
Speaker 1: organization as well as Black identity extremists, but not the KKK,

689
00:42:38,120 --> 00:42:47,160
Speaker 1: because you know, they're chill, They're super chill. Just butt

690
00:42:47,200 --> 00:43:03,879
Speaker 1: in the chat. I got all my lauingerie from Antifa provocateur. Yes,

691
00:43:04,160 --> 00:43:09,360
Speaker 1: I want to see that storefront. But it does seem

692
00:43:09,440 --> 00:43:14,160
Speaker 1: like um just kind of checking in with where he is. Uh,

693
00:43:14,360 --> 00:43:18,719
Speaker 1: you know, we're months out from the presidential election. In

694
00:43:18,800 --> 00:43:22,240
Speaker 1: addition to that, he's just been kind of in this

695
00:43:22,520 --> 00:43:28,560
Speaker 1: uh spiral like last Friday's job report, which may be erroneous,

696
00:43:28,600 --> 00:43:32,160
Speaker 1: but it was at least more positive than people were expecting.

697
00:43:32,560 --> 00:43:35,080
Speaker 1: He claimed it was a great day for George Floyd

698
00:43:35,560 --> 00:43:38,280
Speaker 1: UM and that he's probably smiling down on the great

699
00:43:38,360 --> 00:43:41,840
Speaker 1: jobs report. I don't know, He's just behaving like a

700
00:43:41,920 --> 00:43:46,600
Speaker 1: guy who really needs a win and is acting erratically. Uh.

701
00:43:46,640 --> 00:43:49,960
Speaker 1: And the more desperate he gets, the more erratically he behaves.

702
00:43:50,680 --> 00:43:55,120
Speaker 1: It's so bizarre to use a man's death to try

703
00:43:55,160 --> 00:43:59,040
Speaker 1: to further your political career in this angle, like like

704
00:43:59,080 --> 00:44:01,840
Speaker 1: it's totally understand the politicians will be out here like

705
00:44:02,120 --> 00:44:04,720
Speaker 1: what I saw with George Floyd, like my heart, all

706
00:44:04,719 --> 00:44:06,920
Speaker 1: of our hearts, all you know, that bullshit stump rhetoric

707
00:44:07,000 --> 00:44:09,000
Speaker 1: that they have. But it's weird to just be like

708
00:44:09,440 --> 00:44:12,880
Speaker 1: George Floyd's looking down at our unemployment numbers and and

709
00:44:12,920 --> 00:44:17,319
Speaker 1: he's and he's smiling, like like are you adding those

710
00:44:17,320 --> 00:44:22,319
Speaker 1: two together? Boy? George Floyd loves what we're doing with

711
00:44:22,360 --> 00:44:27,280
Speaker 1: the COVID test and sinners. He definitely does what what what?

712
00:44:29,000 --> 00:44:31,080
Speaker 1: That's not how you use this? You should use it,

713
00:44:31,120 --> 00:44:34,399
Speaker 1: but that's definitely this is not a method. I mean,

714
00:44:34,520 --> 00:44:36,920
Speaker 1: like a lot of bullies, I don't think he's comfortable

715
00:44:37,160 --> 00:44:41,400
Speaker 1: when he's, you know, down, when he doesn't have the

716
00:44:41,440 --> 00:44:44,880
Speaker 1: momentum and it doesn't have a screen a chantion crowd

717
00:44:44,920 --> 00:44:48,239
Speaker 1: at his back. I I also wonder, like I think

718
00:44:48,280 --> 00:44:52,480
Speaker 1: the two thousand six Team campaign really empowered a lot

719
00:44:52,560 --> 00:44:56,200
Speaker 1: of racist white people to stand up and voice their

720
00:44:56,239 --> 00:45:02,320
Speaker 1: opinions more loudly. UM. And I think George Floyd's murder

721
00:45:02,360 --> 00:45:06,160
Speaker 1: and you know, the subsequent protests and the subsequent more

722
00:45:06,200 --> 00:45:12,759
Speaker 1: police violence might be empowering not racist people to be

723
00:45:12,920 --> 00:45:16,080
Speaker 1: louder and more chest out about what they believe. UM.

724
00:45:16,080 --> 00:45:19,640
Speaker 1: Hoping that that's what we're seeing. So I would attest

725
00:45:19,680 --> 00:45:21,359
Speaker 1: to that. I do think that I've seen a lot

726
00:45:21,400 --> 00:45:25,320
Speaker 1: of people who UM in the past really only seem

727
00:45:25,360 --> 00:45:27,440
Speaker 1: to like, you know, maybe do some kind of performative

728
00:45:27,520 --> 00:45:31,920
Speaker 1: gesture or you know, black whatever, UM, kind of come

729
00:45:31,920 --> 00:45:34,839
Speaker 1: out and be more vocal online and to their own

730
00:45:34,880 --> 00:45:37,439
Speaker 1: followings and to their own fans, like people who say

731
00:45:37,440 --> 00:45:40,280
Speaker 1: that they're a political because I think we're really challenging

732
00:45:40,320 --> 00:45:43,759
Speaker 1: people to see that, like if you're looking away, you're supportive,

733
00:45:44,280 --> 00:45:46,759
Speaker 1: and that's just what it is. Like you can't say

734
00:45:46,800 --> 00:45:49,840
Speaker 1: I don't like politics when politics are killing black people.

735
00:45:49,960 --> 00:45:52,560
Speaker 1: If you don't vote, you're killing black people. If you

736
00:45:52,600 --> 00:45:55,280
Speaker 1: look away, you're killing black people. And if you do nothing,

737
00:45:55,520 --> 00:45:57,239
Speaker 1: you're killing black people. And if you don't talk to

738
00:45:57,239 --> 00:45:59,880
Speaker 1: any of your white friends about this stuff, you're killing

739
00:46:00,000 --> 00:46:02,120
Speaker 1: black people. Stop dem and your black friends like, I'm

740
00:46:02,160 --> 00:46:06,560
Speaker 1: so savvy about racist girl. Anyways, this is what I'm

741
00:46:06,600 --> 00:46:08,600
Speaker 1: doing to work on it. Why don't you talk to

742
00:46:08,600 --> 00:46:11,240
Speaker 1: your white friends about that, apologize to them about racism,

743
00:46:11,239 --> 00:46:14,560
Speaker 1: and y'all work together because we're tired, Like we're gonna

744
00:46:14,560 --> 00:46:16,719
Speaker 1: continue to work, But I can't also do the emotional

745
00:46:16,800 --> 00:46:19,680
Speaker 1: labor of well meaning white people, Like that's unfair to

746
00:46:19,680 --> 00:46:21,759
Speaker 1: ask me to do all of that. And certainly that's

747
00:46:21,800 --> 00:46:24,520
Speaker 1: happening a lot more right now. But I'm also seeing

748
00:46:24,920 --> 00:46:27,239
Speaker 1: white people talking to other white people and also being like, hey,

749
00:46:27,320 --> 00:46:29,719
Speaker 1: don't hit up your black friends about this. Hit us up.

750
00:46:30,080 --> 00:46:32,799
Speaker 1: We got we just learned some stuff, Like I said

751
00:46:32,840 --> 00:46:34,600
Speaker 1: on Twitter, like white people, you don't hit your black

752
00:46:34,640 --> 00:46:37,239
Speaker 1: friends up. When you want to make forcacha bread for recipes,

753
00:46:37,480 --> 00:46:41,520
Speaker 1: you google it, so mixed racism, don't talk to me.

754
00:46:43,760 --> 00:46:47,279
Speaker 1: Duane Perkins had a great tweet about that yesterday, where

755
00:46:47,280 --> 00:46:49,680
Speaker 1: it was he said, you know, you wouldn't believe it

756
00:46:49,719 --> 00:46:51,520
Speaker 1: just happened to me. I was scrolling through Twitter and

757
00:46:51,560 --> 00:46:53,640
Speaker 1: saw a tweet referring to something I didn't know, and

758
00:46:53,680 --> 00:46:56,200
Speaker 1: instead of replying explain this to me, I just googled

759
00:46:56,200 --> 00:46:58,200
Speaker 1: it and now I know what it is like funk

760
00:46:58,200 --> 00:47:02,839
Speaker 1: what a rush Like You're like, yeah, I canna just

761
00:47:03,280 --> 00:47:08,280
Speaker 1: bing it and have conversations. People who say their opinion

762
00:47:08,480 --> 00:47:13,200
Speaker 1: on a podcast that they haven't listened to yet and

763
00:47:13,239 --> 00:47:15,760
Speaker 1: they accuse you of not having made the point that

764
00:47:15,840 --> 00:47:19,840
Speaker 1: they have to make about the subject are also a

765
00:47:19,880 --> 00:47:24,560
Speaker 1: favorite of mine. Um, look, I haven't listened to this yet,

766
00:47:24,920 --> 00:47:29,680
Speaker 1: but yeah, like, well, I think you guys are missing this,

767
00:47:29,960 --> 00:47:32,480
Speaker 1: and it's like, no, that's I think the first thing

768
00:47:32,520 --> 00:47:36,520
Speaker 1: we talked about one of the first things. Um. Anyways,

769
00:47:36,520 --> 00:47:38,560
Speaker 1: just want to flex. But I hope that this is

770
00:47:38,560 --> 00:47:39,960
Speaker 1: the last thing I want to say about this is

771
00:47:39,960 --> 00:47:42,319
Speaker 1: I hope that people start getting more comfortable with being

772
00:47:42,320 --> 00:47:46,200
Speaker 1: wrong and uh, with being uninformed and then not being

773
00:47:46,200 --> 00:47:49,880
Speaker 1: comfortable and informed, but then seeking out knowledge. Um, because

774
00:47:49,920 --> 00:47:52,800
Speaker 1: I feel like our culture has just touted being correct

775
00:47:52,880 --> 00:47:55,680
Speaker 1: and dunking on people. That's a very big Twitter culture

776
00:47:55,719 --> 00:47:58,600
Speaker 1: as well, and it makes us feel bad when when

777
00:47:58,640 --> 00:48:02,120
Speaker 1: we we've been doing things quote unquote the wrong way.

778
00:48:02,239 --> 00:48:04,200
Speaker 1: But I think it should make us feel excited that

779
00:48:04,239 --> 00:48:07,680
Speaker 1: we're getting new information and that we're making changes. And

780
00:48:07,719 --> 00:48:10,279
Speaker 1: I think that's the way to receive this, you know,

781
00:48:10,400 --> 00:48:14,160
Speaker 1: if anybody calls you out about something, it's I've never

782
00:48:14,239 --> 00:48:18,600
Speaker 1: been more. People don't understand how defensiveness comes off, Like

783
00:48:18,680 --> 00:48:21,840
Speaker 1: no one ever respects you more for being defensive. I

784
00:48:21,920 --> 00:48:23,800
Speaker 1: have never had a heart on more for a human

785
00:48:23,800 --> 00:48:26,120
Speaker 1: being than when I see them go oh, I see

786
00:48:26,120 --> 00:48:28,319
Speaker 1: what you're saying. And I didn't have these tools and

787
00:48:28,360 --> 00:48:30,799
Speaker 1: now I'm setting these things and I'm yeah, I can

788
00:48:30,840 --> 00:48:34,080
Speaker 1: definitely work on this and change this, versus coming out

789
00:48:34,080 --> 00:48:37,200
Speaker 1: and being like, look, we never shot any black people ourselves.

790
00:48:38,080 --> 00:48:41,279
Speaker 1: Where is this on slat coming from? Yeah, And even

791
00:48:41,320 --> 00:48:44,280
Speaker 1: if you do come out that way in the first place,

792
00:48:44,440 --> 00:48:48,360
Speaker 1: there's still you can still change. Even if you're defensive

793
00:48:48,400 --> 00:48:52,560
Speaker 1: at first, you can still be like, Okay, you're right,

794
00:48:52,640 --> 00:48:56,280
Speaker 1: I funked up. That was my original knee jerk reaction.

795
00:48:56,360 --> 00:49:01,560
Speaker 1: But you sound like dolls killed Jack. I fucked up.

796
00:49:01,800 --> 00:49:04,360
Speaker 1: We were too slow. We should have been quicker, We

797
00:49:04,400 --> 00:49:07,560
Speaker 1: should have been should have been Yeah, faster plus louder.

798
00:49:10,360 --> 00:49:13,200
Speaker 1: The plus is crucial because it's on branding. You know

799
00:49:13,280 --> 00:49:15,920
Speaker 1: that there was a design note that went out about

800
00:49:15,920 --> 00:49:20,239
Speaker 1: the faster plus louder equals should have been us like

801
00:49:23,840 --> 00:49:27,719
Speaker 1: real quick, we are seeing a COVID bounce back in

802
00:49:27,880 --> 00:49:33,319
Speaker 1: states that opened, and you know that doesn't seem to

803
00:49:33,360 --> 00:49:39,040
Speaker 1: be stopping states from further opening. Like we talked about people,

804
00:49:40,800 --> 00:49:44,880
Speaker 1: you know, they're they're being lines outside of Bars, California's

805
00:49:44,960 --> 00:49:48,680
Speaker 1: opening movie theaters on June twelve, even though there are

806
00:49:48,880 --> 00:49:52,880
Speaker 1: no movies to see unless Tenant. I'm just I'm just

807
00:49:52,880 --> 00:49:56,520
Speaker 1: gonna go sit in there just for the air conditioning.

808
00:49:57,560 --> 00:50:00,120
Speaker 1: I wonder, I mean, I am very curious if people will, like,

809
00:50:00,960 --> 00:50:08,440
Speaker 1: will people go two? That's that's a great question because

810
00:50:08,880 --> 00:50:12,239
Speaker 1: I missed movies. Movie theaters have taken such a hit

811
00:50:12,520 --> 00:50:15,800
Speaker 1: from just like I remember after the movie theater shooting,

812
00:50:15,840 --> 00:50:17,839
Speaker 1: I was like, I don't know if I can't really

813
00:50:17,880 --> 00:50:20,080
Speaker 1: be going in here no more. And now COVID it's

814
00:50:20,120 --> 00:50:24,879
Speaker 1: like a dark room. Sometimes it's moist. You don't know

815
00:50:24,960 --> 00:50:28,239
Speaker 1: what you are sitting on, like well, you don't know

816
00:50:28,280 --> 00:50:31,839
Speaker 1: what there's something on the two things that they say

817
00:50:32,000 --> 00:50:34,839
Speaker 1: like they that seemed to be things that they've learned

818
00:50:34,840 --> 00:50:38,200
Speaker 1: about how it spreads that I didn't know when we

819
00:50:38,200 --> 00:50:41,760
Speaker 1: were first like thinking and talking about this is being

820
00:50:41,960 --> 00:50:45,440
Speaker 1: indoors seems to be worse than being outdoors because the

821
00:50:45,560 --> 00:50:48,600
Speaker 1: air is like stale and everyone's using. Breathing in the

822
00:50:48,640 --> 00:50:52,880
Speaker 1: same air and being around people for a long period

823
00:50:52,960 --> 00:50:55,840
Speaker 1: of time as opposed to just like passing them on

824
00:50:55,880 --> 00:50:59,720
Speaker 1: the street is a significant factor, and like movie theaters

825
00:50:59,760 --> 00:51:02,719
Speaker 1: have both of those things. We talked about that a

826
00:51:02,719 --> 00:51:05,600
Speaker 1: bit ago, because I think it was like Miles who said, like,

827
00:51:05,760 --> 00:51:09,760
Speaker 1: our job is the most high risk job for spreading

828
00:51:09,800 --> 00:51:11,799
Speaker 1: COVID because we just sit in a room for an

829
00:51:11,800 --> 00:51:14,399
Speaker 1: hour and a half and talk close to each other,

830
00:51:14,920 --> 00:51:17,480
Speaker 1: Like now we'll never see each other again in person.

831
00:51:17,640 --> 00:51:22,799
Speaker 1: That's yeah, never accepted it. I've accepted you'll always have

832
00:51:22,880 --> 00:51:28,319
Speaker 1: to wait for my lagging audio. Yeah, but Jack, that's

833
00:51:28,320 --> 00:51:31,600
Speaker 1: a great point that sitting in a movie is probably

834
00:51:31,640 --> 00:51:35,839
Speaker 1: just like COVID incubator two hours of breathing with the

835
00:51:35,880 --> 00:51:38,680
Speaker 1: same people in the dark, and dependent on if it's

836
00:51:38,680 --> 00:51:42,760
Speaker 1: a big theater or not. Those not every theater is large,

837
00:51:42,960 --> 00:51:48,080
Speaker 1: So yeah, the detailed contact tracing they've done is definitely

838
00:51:48,160 --> 00:51:50,960
Speaker 1: worth looking at. Like they did a very detailed case

839
00:51:50,960 --> 00:51:54,319
Speaker 1: study of a restaurant where it was spread and it

840
00:51:54,480 --> 00:51:57,080
Speaker 1: had to do with like the people who were on

841
00:51:57,360 --> 00:52:01,000
Speaker 1: the side that the air conditioner was blowing towards were

842
00:52:01,080 --> 00:52:04,279
Speaker 1: the ones who got it. Um and you know, they

843
00:52:04,320 --> 00:52:07,040
Speaker 1: were there for a couple hours and it just got

844
00:52:07,040 --> 00:52:10,359
Speaker 1: spread to that entire side of the restaurant, but like

845
00:52:10,400 --> 00:52:14,600
Speaker 1: another side was not did not get sick. Um there

846
00:52:14,719 --> 00:52:18,319
Speaker 1: was they've they've done it on a plane that they

847
00:52:18,320 --> 00:52:21,760
Speaker 1: did contact tracing on a plane where like certain people

848
00:52:21,800 --> 00:52:25,520
Speaker 1: in certain seats specifically got it. So it's it's worth

849
00:52:25,560 --> 00:52:29,640
Speaker 1: looking at it. It was it was mainly the people

850
00:52:29,680 --> 00:52:35,320
Speaker 1: around the patient zero the spreader. But it's the closer

851
00:52:35,360 --> 00:52:38,960
Speaker 1: you are to the I think. And then they're like

852
00:52:39,080 --> 00:52:41,799
Speaker 1: random people who I'm guessing like got up to go

853
00:52:41,840 --> 00:52:45,319
Speaker 1: to the bathroom or something and like touched the wrong thing.

854
00:52:46,160 --> 00:52:51,879
Speaker 1: But that stuff is yeah, I don't know, it's yeah,

855
00:52:52,000 --> 00:52:56,520
Speaker 1: North Carolina more people were hospitalized with COVID nineteen on

856
00:52:56,520 --> 00:53:00,319
Speaker 1: Monday than any other day during the pandemic for mont

857
00:53:00,400 --> 00:53:04,400
Speaker 1: saw spike and infections and wearyingly for me and children

858
00:53:04,719 --> 00:53:08,920
Speaker 1: getting infected, which has always been I think a lot

859
00:53:08,960 --> 00:53:13,640
Speaker 1: of parents are just like really nervously watching uh that,

860
00:53:13,800 --> 00:53:16,360
Speaker 1: because that's something I've heard from the start, is a

861
00:53:16,400 --> 00:53:20,800
Speaker 1: possibility of like the disease, the virus mutating to being

862
00:53:22,120 --> 00:53:26,800
Speaker 1: more something that targets children. Because it's really it's really

863
00:53:26,840 --> 00:53:30,919
Speaker 1: like almost random, Like I think, I think it's easy

864
00:53:30,960 --> 00:53:32,879
Speaker 1: to be like, well, the older people are the ones

865
00:53:32,920 --> 00:53:37,560
Speaker 1: who get targeted because they're you know, older and have

866
00:53:37,640 --> 00:53:40,759
Speaker 1: more health problems. But like the nineteen eighteen flew like

867
00:53:40,960 --> 00:53:44,080
Speaker 1: killed people our age and like only people our age,

868
00:53:44,239 --> 00:53:47,440
Speaker 1: Like it just took out young adults for some reason.

869
00:53:47,560 --> 00:53:53,279
Speaker 1: So there is just like random um aspects of the

870
00:53:53,360 --> 00:53:57,400
Speaker 1: disease that will cause it to like change direction and

871
00:53:57,680 --> 00:54:01,400
Speaker 1: in really scary ways. So yeah, I don't know. And

872
00:54:01,440 --> 00:54:06,040
Speaker 1: then very worrying for people are protesting is that the

873
00:54:06,120 --> 00:54:09,720
Speaker 1: National Guard that was deployed to the protests have tested

874
00:54:09,760 --> 00:54:13,160
Speaker 1: positive who are at the protests in Washington, d C.

875
00:54:13,760 --> 00:54:17,759
Speaker 1: So and not to mention that like the use of

876
00:54:17,840 --> 00:54:21,759
Speaker 1: tear gas and the use of a respiratory like that

877
00:54:22,880 --> 00:54:29,520
Speaker 1: you can't. It is just shocking, like how the police

878
00:54:29,520 --> 00:54:35,279
Speaker 1: force has managed to exacerbate everything wrong. Uh, and then

879
00:54:35,320 --> 00:54:37,880
Speaker 1: they don't get that this is their fault. Yeah, that

880
00:54:37,960 --> 00:54:40,440
Speaker 1: this is totally their fault. Their response. They could have

881
00:54:40,520 --> 00:54:42,920
Speaker 1: arrested they rested thousands of people when we really just

882
00:54:42,960 --> 00:54:46,440
Speaker 1: needed seven people, right, we needed the Brianna Taylor's three

883
00:54:46,520 --> 00:54:50,680
Speaker 1: killers who are still walking through all of George Floyd's

884
00:54:50,719 --> 00:54:52,560
Speaker 1: and they were like, no, We'll arrest thousands of people

885
00:54:52,560 --> 00:54:55,200
Speaker 1: and expose everybody to COVID so that we can protect

886
00:54:55,600 --> 00:55:02,480
Speaker 1: seven paper. Yep. The Louisville Police Department needs to be

887
00:55:02,520 --> 00:55:05,520
Speaker 1: the next one. The Louisville City Council, however, works that

888
00:55:05,600 --> 00:55:10,200
Speaker 1: needs to go. Yeah, And the only other thing I mean,

889
00:55:10,640 --> 00:55:14,120
Speaker 1: I would just say like at this time, like people

890
00:55:14,280 --> 00:55:18,000
Speaker 1: we I unless you're going to a protest and like,

891
00:55:18,640 --> 00:55:22,240
Speaker 1: you know, lending yourself to a life and death matter,

892
00:55:22,640 --> 00:55:26,080
Speaker 1: like try to like stick to the rules that we

893
00:55:26,120 --> 00:55:30,160
Speaker 1: were given before because it's not as under control as

894
00:55:30,200 --> 00:55:33,319
Speaker 1: I think people are assuming. Or if you gotta go,

895
00:55:33,719 --> 00:55:37,040
Speaker 1: if you just gotta go, get some food and be out,

896
00:55:37,400 --> 00:55:42,080
Speaker 1: wear a damn mask and don't stay there for hours

897
00:55:42,120 --> 00:55:45,400
Speaker 1: at a time because all you're doing is letting yourself cook,

898
00:55:45,760 --> 00:55:48,279
Speaker 1: like you're just up in the chance that you're going

899
00:55:48,360 --> 00:55:53,040
Speaker 1: to get it. I had a home girl who had

900
00:55:53,040 --> 00:55:55,880
Speaker 1: a commercial audition that they're not audition, but a commercial

901
00:55:56,000 --> 00:56:00,359
Speaker 1: that they were shooting for Apple, and they shot during

902
00:56:00,440 --> 00:56:04,920
Speaker 1: COVID and had like a ten person skeleton crew and

903
00:56:04,960 --> 00:56:08,520
Speaker 1: they runted a house to Airbnb. And why did one

904
00:56:08,520 --> 00:56:13,239
Speaker 1: of the people on the crew have Corona No So

905
00:56:13,280 --> 00:56:15,840
Speaker 1: then exposed all these people. Then they all had to

906
00:56:15,880 --> 00:56:19,360
Speaker 1: go into incubations. So it's like, guys, if you're gonna cheat,

907
00:56:19,440 --> 00:56:22,759
Speaker 1: cheat smart, at least all get tests before you do

908
00:56:22,920 --> 00:56:26,560
Speaker 1: something that the government told you not to. Yeah, I

909
00:56:26,560 --> 00:56:29,399
Speaker 1: mean that that's the It's like, if you are going

910
00:56:29,440 --> 00:56:32,920
Speaker 1: out regularly and you are in an area where testing

911
00:56:33,120 --> 00:56:36,120
Speaker 1: is accessible, like it's a pain in the ass, The

912
00:56:36,200 --> 00:56:38,680
Speaker 1: line suck. The government's making it harder for you to

913
00:56:38,680 --> 00:56:40,680
Speaker 1: get tested than it should. But if you can't, if

914
00:56:40,680 --> 00:56:45,920
Speaker 1: you have access to testing, just go like just it.

915
00:56:46,640 --> 00:56:49,239
Speaker 1: I don't know I have. I haven't received even from

916
00:56:49,280 --> 00:56:51,600
Speaker 1: like I haven't received any pushback for being like, hey,

917
00:56:51,640 --> 00:56:53,600
Speaker 1: I need to just like not be here for two

918
00:56:53,680 --> 00:56:55,239
Speaker 1: hours today because I had to go sit in a

919
00:56:55,280 --> 00:56:57,960
Speaker 1: fucking line at Dodger Stadium until I want to melt

920
00:56:58,040 --> 00:57:00,959
Speaker 1: into a puddle. But it's like it's worth it because

921
00:57:00,960 --> 00:57:02,560
Speaker 1: then you know, like now I know when I go

922
00:57:02,640 --> 00:57:06,680
Speaker 1: out protesting that I'm not putting people at risk. Like,

923
00:57:07,200 --> 00:57:11,239
Speaker 1: if you can't get tested, just just do it. Jakis

924
00:57:12,080 --> 00:57:14,560
Speaker 1: also tipped me off to the fact that they're doing

925
00:57:15,080 --> 00:57:17,439
Speaker 1: free testing. It a lot of CVS is to if

926
00:57:17,560 --> 00:57:19,280
Speaker 1: if your city is being a pain in the ass

927
00:57:19,320 --> 00:57:21,880
Speaker 1: about it. H There there are other options out there.

928
00:57:22,640 --> 00:57:25,840
Speaker 1: The only other thing is that the I didn't realize

929
00:57:25,880 --> 00:57:30,840
Speaker 1: how much the markets had continued to rebound since the

930
00:57:30,880 --> 00:57:36,880
Speaker 1: initial like sharp downturn. But on Monday the markets went

931
00:57:36,960 --> 00:57:41,720
Speaker 1: up so much that they're in the positive for the year, um,

932
00:57:41,840 --> 00:57:46,040
Speaker 1: which seems I don't know that that can't be a

933
00:57:46,080 --> 00:57:51,760
Speaker 1: good thing when the markets just don't reflect anything about

934
00:57:51,840 --> 00:57:55,600
Speaker 1: reality in any way. So I don't know, like the

935
00:57:55,920 --> 00:57:58,360
Speaker 1: fact that we're where we are and the markets haven't

936
00:57:58,360 --> 00:58:02,720
Speaker 1: even like registered the uh, how fucked things are and

937
00:58:02,960 --> 00:58:06,720
Speaker 1: that's probably coming is also something to just I think

938
00:58:06,840 --> 00:58:09,840
Speaker 1: that I'm just keeping in the back of my mind. Yeah,

939
00:58:09,880 --> 00:58:13,480
Speaker 1: because I mean, property damage and financial loss is the

940
00:58:13,560 --> 00:58:17,040
Speaker 1: only thing that the majority of this country understand or

941
00:58:17,160 --> 00:58:20,960
Speaker 1: respond to. Um. I've never seen people more emotional about

942
00:58:20,960 --> 00:58:24,840
Speaker 1: a target. You would you would think target was their

943
00:58:24,960 --> 00:58:29,640
Speaker 1: dad and that would just beat their sweet old daddy

944
00:58:29,760 --> 00:58:33,280
Speaker 1: to a bulk. So it's it's it's definitely disturbing when

945
00:58:33,280 --> 00:58:35,640
Speaker 1: we see that. It's not like I want financial rumen

946
00:58:35,720 --> 00:58:38,440
Speaker 1: for this country, but I just want incentive for people

947
00:58:38,480 --> 00:58:43,480
Speaker 1: to be humane, and unfortunately that's not humanity that's money

948
00:58:43,480 --> 00:58:47,600
Speaker 1: and capitalism, because that's all people care about the large

949
00:58:47,600 --> 00:58:50,440
Speaker 1: majority of this country. We've been indoctrinated in condition to

950
00:58:50,480 --> 00:58:52,880
Speaker 1: think that we are all just a cog in the

951
00:58:52,920 --> 00:58:58,160
Speaker 1: wheel and a number um, which is sad. So yeah,

952
00:58:58,200 --> 00:59:01,080
Speaker 1: that's worrisome for sure. They're like, well, the billionaires are

953
00:59:01,120 --> 00:59:05,280
Speaker 1: doing great, better than ever before. Well, Lacy, it has

954
00:59:05,360 --> 00:59:08,880
Speaker 1: been such a pleasure having you back on the daily's

955
00:59:08,920 --> 00:59:12,880
Speaker 1: like ice, where can people uh find you and follow you?

956
00:59:13,840 --> 00:59:15,480
Speaker 1: As always? Guys, you can find me a d I

957
00:59:15,600 --> 00:59:18,720
Speaker 1: v A l A c I deva Lacey on all platforms.

958
00:59:18,760 --> 00:59:21,040
Speaker 1: I have a podcast called Scam Goddess if you want

959
00:59:21,040 --> 00:59:23,240
Speaker 1: to listen to that. It's on all platforms as well.

960
00:59:23,840 --> 00:59:30,280
Speaker 1: And a tweet that I've been enjoying which is completely

961
00:59:30,320 --> 00:59:34,120
Speaker 1: off of all of these subjects. But um, hit me

962
00:59:34,200 --> 00:59:36,160
Speaker 1: up if you want to turn a hundred and seventy

963
00:59:36,160 --> 00:59:40,240
Speaker 1: five dollars into It's not a scam. We're selling crack

964
00:59:46,320 --> 00:59:49,680
Speaker 1: Like wow, Like I said, that truly is not a scamp.

965
00:59:50,320 --> 00:59:54,040
Speaker 1: Uh and that comes from Cam call uh c O

966
00:59:54,440 --> 00:59:57,200
Speaker 1: L L CAM Exotic shout out to you because that

967
00:59:57,280 --> 01:00:02,600
Speaker 1: was hilarious. That's wild ride, Jamie. Where can people find

968
01:00:02,640 --> 01:00:05,240
Speaker 1: you and what's a tweet you've been enjoying. You can

969
01:00:05,320 --> 01:00:08,960
Speaker 1: find me on Twitter at Jamie Loftus Help, Instagram at

970
01:00:09,000 --> 01:00:11,840
Speaker 1: Jamie christ Superstar. I wanted to say I couldn't remember

971
01:00:11,960 --> 01:00:17,240
Speaker 1: the name of the teacher funding platform yesterday and uh,

972
01:00:17,400 --> 01:00:21,800
Speaker 1: listener reminded me it's called Donors Choose UM. So that's

973
01:00:22,120 --> 01:00:25,560
Speaker 1: uh if you're I mean, there's more urgent places to donate,

974
01:00:25,600 --> 01:00:28,480
Speaker 1: but that's where teachers have been UM fundraising for their

975
01:00:28,480 --> 01:00:32,160
Speaker 1: own classrooms because they're not funded well enough. So that's

976
01:00:32,200 --> 01:00:37,160
Speaker 1: the website. Uh. Tweet that I will do is from

977
01:00:37,200 --> 01:00:41,600
Speaker 1: at Hannah Underscore Unlost and it says I joined Twitter

978
01:00:41,720 --> 01:00:44,320
Speaker 1: because of one direction and now I want to defund

979
01:00:44,360 --> 01:00:55,840
Speaker 1: and abolish the police. That's great, what a ride. Yeah,

980
01:00:55,880 --> 01:00:59,560
Speaker 1: I would be interested in just following following their tweets,

981
01:00:59,600 --> 01:01:03,360
Speaker 1: like over the course of years as that evolution happened.

982
01:01:04,040 --> 01:01:10,480
Speaker 1: The Hill tweeted Press Secretary Kaylee mcnahey. Uh, a quote

983
01:01:10,480 --> 01:01:13,880
Speaker 1: from her Mitt Romney can say three words outside on

984
01:01:13,960 --> 01:01:18,040
Speaker 1: Pennsylvania Avenue. But I would note this that President Trump

985
01:01:18,480 --> 01:01:22,840
Speaker 1: won eight percent of the black vote, and Maya Harris tweeted,

986
01:01:23,160 --> 01:01:28,160
Speaker 1: she knows it's out of a hundred right. Uh. And

987
01:01:28,200 --> 01:01:33,960
Speaker 1: then Lauren Elizabeth tweeted, uhlatoris has eight thousand Nerva endings

988
01:01:34,080 --> 01:01:36,680
Speaker 1: and it's still not as sensitive as a man with

989
01:01:36,760 --> 01:01:40,520
Speaker 1: a sports abbey seventeen followers in an American flag in

990
01:01:40,520 --> 01:01:44,640
Speaker 1: their avatar. You can find me on Twitter at Jack

991
01:01:44,720 --> 01:01:48,160
Speaker 1: Underscore O'Brien. You can find us on Twitter at Daily Zeitgeist.

992
01:01:48,520 --> 01:01:51,760
Speaker 1: We're at the Daily Zeitgeist on Instagram. We have a

993
01:01:51,760 --> 01:01:55,160
Speaker 1: Facebook fan page and a website, Daily zeitgeist dot com,

994
01:01:55,200 --> 01:01:59,400
Speaker 1: where post our episodes and our footnotes where we link

995
01:01:59,400 --> 01:02:02,120
Speaker 1: off to the formation that we talked about in today's episode,

996
01:02:02,680 --> 01:02:07,080
Speaker 1: as well as the song we ride out on. Super

997
01:02:07,120 --> 01:02:11,880
Speaker 1: Producer an A. Hosnier taking care of the song Rex

998
01:02:12,120 --> 01:02:16,480
Speaker 1: again is recommending the song I Love My Body by

999
01:02:16,600 --> 01:02:23,440
Speaker 1: Maya Rudolph featuring Chrissy Guerrero, Jesse Klein, Chelsea Peretti, Jenny Slate,

1000
01:02:23,560 --> 01:02:28,920
Speaker 1: and Mark Rivers from the Big Mouth soundtrack. Uh, and

1001
01:02:29,400 --> 01:02:35,080
Speaker 1: it is apparently goddamn jam. And so that's what we're

1002
01:02:35,080 --> 01:02:37,560
Speaker 1: gonna ride out on the Daily ze guys to the

1003
01:02:37,600 --> 01:02:40,000
Speaker 1: production of I Heart Radio from more podcasts from my

1004
01:02:40,080 --> 01:02:42,800
Speaker 1: heart Radio busit the I Heart Radio app, Apple Podcaster

1005
01:02:43,040 --> 01:02:46,400
Speaker 1: wherever you listen to your favorite shows. That's going to

1006
01:02:46,440 --> 01:02:48,760
Speaker 1: do it for this morning. We'll be back this afternoon

1007
01:02:48,800 --> 01:02:51,640
Speaker 1: to tell you what's trending, and we'll talk to you then.

1008
01:02:51,880 --> 01:03:04,560
Speaker 1: By small. My body is a muting my bombs a

1009
01:03:04,640 --> 01:03:07,960
Speaker 1: w cover my love hand with my bad wing, A

1010
01:03:08,040 --> 01:03:16,360
Speaker 1: love every single b sell you lie of comedies it

1011
01:03:16,600 --> 01:03:20,120
Speaker 1: if it is a so skinny lags and funda fides

1012
01:03:20,160 --> 01:03:23,240
Speaker 1: eriolas of ever shape the light, and he is all

1013
01:03:23,320 --> 01:03:26,400
Speaker 1: these Easties West, these blobs. I only showed my Fefty's

1014
01:03:26,440 --> 01:03:29,200
Speaker 1: school and I'm trying to do the anyway