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Speaker 1: I listened to the Black Diotips podcast because Rod and Karen.

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Speaker 2: Media plays a powerful role in encouraging and reinforcing the

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Speaker 2: association of people of color, especially African Americans, with poverty

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Speaker 2: and safety net programs. The overrepresentation of blacks and the

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Speaker 2: relative invisibility of whites and news stories about poverty and

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Speaker 2: welfare is well documented. In a content analysis of twenty

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Speaker 2: fifteen to twenty sixteen television, print and online news stories,

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Speaker 2: fifty nine percent of poor people who were discussed or

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Speaker 2: portrayed were African American, yet they accounted for just twenty

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Speaker 2: seven percent of people experiencing poverty at the time. Conversely,

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Speaker 2: whites constituted sixty six percent of the low income population,

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Speaker 2: but they were depicted as just seventeen percent of news

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Speaker 2: media stories. These skewed representations were present in both right

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Speaker 2: and left lean and news sources. Over time, there has

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Speaker 2: been little change in these representations. In Martin Gillen's study

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Speaker 2: of the betrayals of race and poverty in the three

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Speaker 2: high circulation news magazines published between nineteen eighty eight nineteen

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Speaker 2: ninety two, African Americans represented sixty two percent of the

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Speaker 2: people poor people, pure people depicted over twice their actual

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Speaker 2: proportion of twenty nine percent. A follow up examination of

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Speaker 2: the same news magazine documented the continued overrepresentation of African

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Speaker 2: American poverty between nineteen ninety two and twenty ten. Not Surprisingly,

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Speaker 2: racial misrepresentations are also common in media portrayals of welfare recipients,

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Speaker 2: and Mark Kelly's analysis of television news coverage of welfare reform,

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Speaker 2: fifty eight percent of the public assistance recipients profile were

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Speaker 2: African American, a sizeable over representation of the thirty nine

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Speaker 2: percent of eight recipients during this time period who were

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Speaker 2: African American. Another analysis found that fifty five percent of

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Speaker 2: welfare recipients pictured the news magazines were black, when they

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Speaker 2: actually make up thirty eight percent of the programming participants.

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Speaker 2: As Gillan's notes, this distorted portrait of the American poor

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Speaker 2: cannot help with reinforce negative stereotypes of blacks asmirred in

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Speaker 2: poverty and contribute to the belief that poverty is primarily

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Speaker 2: a black problem. Hey, welcome to the Blackouts podcast. I'm

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Speaker 2: your host, Rod, joined us always by my co host,

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Speaker 2: and we're live on a Monday night. Ready to do

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Speaker 2: some podcasts and find us exclusively on Spotify Share us.

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Speaker 2: You can now share from the show like at a

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Speaker 2: time mark a timestamp like you can now be like, hey,

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Speaker 2: at the three minute mark, they was talking about this

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Speaker 2: funny moment. Check it out. My friends on social media,

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Speaker 2: do that, y'all. We appreciate, y'all tag the show, tag us.

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Speaker 2: We love to see that. The official weapon of the

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Speaker 2: show is an unofficial sport, a bullet ball extreme And yeah,

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Speaker 2: that excert is from Poorly Understood What America Gets Wrong

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Speaker 2: about Poverty, a book that I'm currently reading by these

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Speaker 2: three different author But it's it's mostly says stuff I

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Speaker 2: already kind of know so far, but it's good to

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Speaker 2: have the numbers behind it, you know. I think we've

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Speaker 2: always known that. One of the things I was thinking

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Speaker 2: about in that passage is most people will read that

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Speaker 2: and think, yeah, and this affects the perception that white

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Speaker 2: people have about black people being on the welfare taking

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Speaker 2: all that stuff, yeah, and negative percepsions that black people

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Speaker 2: have about black people and all kinds of people. Right.

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Speaker 2: But that's not why I'm taking this. I was thinking,

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Speaker 2: what does it make us feel about ourselves? Not as

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Speaker 2: a external pointing outwards, but pointing inwards. Is if sixty

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Speaker 2: percent of the representation about poverty on TV, regardless left

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Speaker 2: wing and right winning is black people, people who look

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Speaker 2: like me, people that look like your parents when you're

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Speaker 2: a child, what does it make us feel inside? It

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Speaker 2: must do something to us, you know what I mean,

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Speaker 2: Like the idea that you're supposed to be or your

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Speaker 2: natural you're placing the natural order thing of things is

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Speaker 2: impoverished and getting a handout and whatnot, you know, because

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Speaker 2: because it can't I doubt it's a good effect. And

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Speaker 2: we don't know these this ship when we're kids and

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Speaker 2: we're seeing this all the time, we don't know that

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Speaker 2: that's not how it really is, you know what I mean?

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Speaker 2: And also like how poverty becomes kind of like a

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Speaker 2: litmus test for how black you are sometimes, like we

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Speaker 2: all like, no matter how good you may or may

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Speaker 2: not be doing now, there's always just like I know, Okay,

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Speaker 2: I've been I've been on the bottom, you know what

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Speaker 2: I'm saying. That that comes where it's like, yeah, if

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Speaker 2: you haven't had these experiences, are you really black? You know,

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Speaker 2: if you had, if you've lived in a place where

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Speaker 2: you had all your needs met, you weren't you never

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Speaker 2: you know, we're on government assistance that you know of

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Speaker 2: do you count as a black person in America? Because

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Speaker 2: we've literally let the definition of poverty in America be blackness,

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Speaker 2: and to some extent, it feels like the definition of

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Speaker 2: blackness in a lot of people's minds in America is

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Speaker 2: poverty agreed.

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Speaker 3: And also because with the media and white people run it,

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Speaker 3: we're on the left end and the right and they

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Speaker 3: have biases, some unknown, some just flat racist, but whatever

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Speaker 3: it is, it's a bias there because you know, it's

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Speaker 3: one of those things where why we overrepresented it in

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Speaker 3: these particular areas, Like it doesn't make sense once you

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Speaker 3: look at the totality and uh, it's you know, visually

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Speaker 3: it's going to change. But majority of the country is white,

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Speaker 3: so these services are going to benefit a larger percentage

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Speaker 3: of that population, but it's never presented like that. A

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Speaker 3: lot of the big bust that this person got caught

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Speaker 3: frauding be white people. You look at me a string

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Speaker 3: not that black people don't do it either, but most

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Speaker 3: of the time it's a string of white people that's

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Speaker 3: been conning this system. But you but you let the

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Speaker 3: minion stuff tell us about niggas and that's not a

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Speaker 3: true statement.

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Speaker 2: Yeah, And it's by design that it's like that, because

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Speaker 2: Republicans can get people to turn against poverty, white people anyway,

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Speaker 2: to turn against the impoverished, and they can vilify them

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Speaker 2: and say they're good for nothing, they're lazy, they're less

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Speaker 2: than human, they don't need to be respected. That thieves,

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Speaker 2: they are criminals, and all this shit. They can say that.

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Speaker 2: And as long as the idea when you close your

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Speaker 2: eyes and you think, what does a poor person look like,

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Speaker 2: it's not a white person. A lot of white people

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Speaker 2: will go, yeah, yeah, I'm with you. Cut those programs right,

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Speaker 2: because put those people in jail, drug test everybody, all

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Speaker 2: that stuff.

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Speaker 3: Right, because if they envision themselves, you know, we get

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Speaker 3: we get the myth the sweetes across in the country.

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Speaker 3: All of a sudden, let's lightn the sentences. All of

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Speaker 3: a sudden, that's not jail or your opiois I'm sorry, yeah,

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Speaker 3: all of a sudden, they're compassionate. We didn't know the

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Speaker 3: laws slowly begin to change and shit like that. You know,

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Speaker 3: when it was cracked, well, you know, we didn't get

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Speaker 3: the same compassion when it was ravaging through our neighborhoods

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Speaker 3: in our school and all of ones nobody cared.

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Speaker 2: Yeah. The other thing it made me think about, too,

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Speaker 2: was a lot of our legislation comes from a personal

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Speaker 2: place of how we feel. And so because people often

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Speaker 2: say they can't make sense of why other than racism,

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Speaker 2: they can't make sense of why white people wouldn't be

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Speaker 2: so staunchly against cutting all these programs when white people

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Speaker 2: are made up the majority of people on government assistance programs,

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Speaker 2: and it's like, well, why wouldn't they do that? But

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Speaker 2: numbers there's an argument to it as well, because individually,

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Speaker 2: white people have like a let's say nine percent chance

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Speaker 2: of being poor on an individual level, one out of

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Speaker 2: every ten, less than one out of ten white people

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Speaker 2: will be poor in America, and you know in their

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Speaker 2: lifetime or whatever, black people have like a one out

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Speaker 2: of five chance twenty percent. That's twice as likely. So

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Speaker 2: we feel that pressure doubly. Then they feel. Then you

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Speaker 2: throw in the media representation and it feels like if

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Speaker 2: you're black, you need to be you're gonna be poor.

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Speaker 2: And then Native American people one in four. So it

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Speaker 2: seems that the logic goes individually, how do you feel

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Speaker 2: And if individually white people feel like I got a

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Speaker 2: pretty good chance, they're never going to look at the

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Speaker 2: system holistically and say we need to do more for

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Speaker 2: people who are poor. It could be me, it could

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Speaker 2: be you, because they feel like it really could not

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Speaker 2: be me, or if it was me, it's a much

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Speaker 2: lower chance, and I'll take that chance. I'd rather have

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Speaker 2: the system set up the way it is. It's why

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Speaker 2: people say they vote against our interest or you know

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Speaker 2: that they see the system is hurting them too, not

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Speaker 2: proportionally enough for them to really feel anything. And when

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Speaker 2: it does, things get done. Whenever something does affect white

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Speaker 2: people as well as other people, that's when you see

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Speaker 2: the shit happen, you know, when you see this pandemic

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Speaker 2: and all the things that got passed and stuff, that's

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Speaker 2: just because white people were hurt too. You can't stop

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Speaker 2: like they weren't hurt as much, but they were hurt too,

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Speaker 2: and there was no way to avoid it. So you

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Speaker 2: see things get passed, Legislation gets passed, money is passed,

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Speaker 2: y'all our benefits get passed and all that stuff. But

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Speaker 2: it's just it's just something that this book's been really

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Speaker 2: making me think about when it comes to like whiteness

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Speaker 2: and poverty.

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Speaker 3: Yeah, and then on top of that, they cut the programs,

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Speaker 3: and they designed the system with housing discrimination, with red lining,

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Speaker 3: with voter suppression, like they designed the system to make

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Speaker 3: these numbers harsh so that they can justify what they're saying,

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Speaker 3: and they can keep doing what they're doing and keep

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Speaker 3: pushing these overinflated numbers because the system is designed for

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Speaker 3: it to kind of skew that way. And it's like,

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Speaker 3: see the results. You know, they're all not worth it.

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Speaker 3: You know, they're all not worth that investment. You know,

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Speaker 3: why would we you know, repave the roads on the

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Speaker 3: black part of town. Let's go over here for the

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Speaker 3: fifth time this year inconvenience everybody, and we pay these

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Speaker 3: good roads, you know, and you're like, but these roads

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Speaker 3: haven't been paid in fifty years. Well, you know, that's

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Speaker 3: not our problem. And then, you know, with gentrification, you move,

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Speaker 3: you shift black people around from neighborhood to neighborhood to neighborhood,

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Speaker 3: from one side of town to one side of town.

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Speaker 3: They have a few generations, so they don't have time

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Speaker 3: to settle. There's no time for generational wealth. You know,

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Speaker 3: you don't give them a chance to put their roots down,

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Speaker 3: because they're constantly being uprooted because white people could just

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Speaker 3: come in and just purchase fucking buy everything up and

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Speaker 3: then price them out of their own neighborhoods.

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Speaker 2: Yeah, I think as long as you can make poverty

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Speaker 2: feel like something that doesn't happen to everybody, and happens

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Speaker 2: to people that deserve to be poor as some type

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Speaker 2: of punishment or just rewards for their actions, we're always

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Speaker 2: going to be right back here. But it's interesting when

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Speaker 2: you look at the numbers of it and you see

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Speaker 2: like how insidious this is and how much it affects

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Speaker 2: our country, especially compared to other countries. Like we penalize

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Speaker 2: people for life events. Oh you got married, Oh you

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Speaker 2: had a baby. Oh you had a job, you lost

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Speaker 2: your job, Oh you went to college, Oh you want

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Speaker 2: to move out of your parents' house. Like those are

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Speaker 2: all times when most people experience poverty in this country

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Speaker 2: or economic hardship. And not every country is like that,

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Speaker 2: you know what I mean, Like, not every country is

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Speaker 2: where you're gonna make forty percent less than somebody because

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Speaker 2: they got a high school department. You didn't, you know,

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Speaker 2: But that's something that happens in America that we've just

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Speaker 2: kind of accepted.

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Speaker 3: Yeah, Also because of the numbers, white people treat poverty

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Speaker 3: as an inconvenience. That's why they can't relate. You know

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Speaker 3: when you talk to you know, some white people, I

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Speaker 3: was poor too, But it's not the same, Like it's

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Speaker 3: literally literally not the same. It's not that you haven't

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Speaker 3: done anything. It's not that you haven't been through anything.

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Speaker 3: It's not that you have been home, it's not that

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Speaker 3: none of those things may have happened to you. But

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Speaker 3: when white people that as a whole, look at it,

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Speaker 3: they look at it as an inconvenience. Most black and

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Speaker 3: brown people look at it it's just a way of life.

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Speaker 2: Well that's so, that's the thing, right, That's why I say,

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Speaker 2: what do we internalize? Because I don't know that we

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Speaker 2: look at it that way. And when you look at

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Speaker 2: the numbers we typically get off of these programs, we

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Speaker 2: don't just live on them, like, we don't see it

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Speaker 2: as a way of life. That's the perception. That's and

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Speaker 2: that comes from the media saying sixty percent of the

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Speaker 2: stories when we talk about poverty, we're gonna just show

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Speaker 2: black people and make it seem like black people are

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Speaker 2: in this somehow nonsensical, you know. You know, people even

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Speaker 2: won't say correlated to our culture and all this stuff,

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Speaker 2: and it's like, that's not even true. Yeah, because it's

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Speaker 2: the way it's been presented to us, Yes, yeah, and

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Speaker 2: it's what's been and it's also what has been done

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Speaker 2: to us, you know what I mean. I was thinking

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Speaker 2: about this today, man, like reading this book because I'm

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Speaker 2: not trying to be pessimistic, but I gotta be realistic.

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Speaker 2: This is just how I'm feeling the day. Maybe I'll

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Speaker 2: change my mind tomorrow. But reading this book, it made

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Speaker 2: me think about how social media and UH and certain people,

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Speaker 2: certain activists and stuff, everything is so like theoretical. It's

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Speaker 2: like we're gonna get uh, we're gonna get socialism, but

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Speaker 2: we're gonna deconstruct this. So we're gonna destroy this system

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Speaker 2: and we're gonna build up something better and something new,

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Speaker 2: and it's gonna be this. And I kept thinking about

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Speaker 2: it's always been a thing where I'm like, I don't

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Speaker 2: know if I like to live in that world for

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Speaker 2: brief periods of time, but it never feels like that

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Speaker 2: could happen here to me, And I think the reason

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Speaker 2: why is because America as a concept is a heist,

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Speaker 2: you know what I mean, it's a looting, it's a

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Speaker 2: it's a brutal fever. It's his theft, but but it's

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Speaker 2: a theft. And we, as I speak of black people,

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Speaker 2: are part of the stolen good. And yet we are

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Speaker 2: supposed to be the ones that's gonna fix this shit

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Speaker 2: and dismantle it and build up the new thing and

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Speaker 2: have all the great ideas. But we've never been in

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Speaker 2: that position of power to even have that, you know

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Speaker 2: what I mean, We barely even get listened to. And

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Speaker 2: when you look at these statistics, and these numbers are

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Speaker 2: very damning on just how effective and brutally the theft continues.

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Speaker 2: Because now it's the land is all bought and had right,

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Speaker 2: so now it's more about people's times, people's labor, people

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Speaker 2: stuff like that. And it's such a brutally effective system.

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Speaker 2: And I don't know that there'll ever be a time

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Speaker 2: that it won't be brutal, because the inception was brutal.

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Speaker 2: It's like, it's like trying to think of it. I

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Speaker 2: don't want to offend anybody, but so trigger wanting for

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Speaker 2: a sexual assault, but it's it's to me, it feels

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Speaker 2: like trying to make a marriage out of someone sexually

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Speaker 2: assaulting you. Yes, And it's like that the very foundation

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Speaker 2: of this is it's impossible to reconcile that into or not.

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Speaker 2: It's almost it's very unlikely to reconcile that and then

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Speaker 2: come to some sort of agreement where we get to

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Speaker 2: coexist and can both be full and both be fulfilled

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Speaker 2: and happy. And I don't think that's ever gonna happen here.

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Speaker 2: And it was making me think about how people mock

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Speaker 2: you know, like Jay z or Oprah or whoever, Black

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Speaker 2: people that get money and shit, you know, we always

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Speaker 2: got to mock them. And I was thinking like, maybe

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Speaker 2: they the ones that figured it out, Maybe they the

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Speaker 2: ones that's really understand Like they might have already come

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Speaker 2: to this conclusion that I'm forty two and just thinking

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Speaker 2: of it. But maybe they just said, we're not getting free.

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Speaker 2: This is not happening here. This whole shit is fucked up.

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Speaker 2: The closest we're gonna get is getting money redistributing it

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Speaker 2: back into communities and to our families and people we love.

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Speaker 2: And honestly, we're never gonna see the utopia We're never

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Speaker 2: gonna see the radical revolution. It's not coming here, and

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Speaker 2: so get what you can for you and your loved ones,

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Speaker 2: because that's what you got. And it made me think

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Speaker 2: of how much like what I say about guns, where

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Speaker 2: I'm like, the right answer to fixing the gun problem

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Speaker 2: in America is to take away the guns. It's the

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Speaker 2: right answer, but it's not the realistic answer. It's never

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Speaker 2: gonna happen. So when a black person tells me I

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Speaker 2: bought a gun, I don't really mock them for that

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Speaker 2: because I'm like, yeah, because everyone's got a fucking gun, right,

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Speaker 2: So what would you individually be able to to do

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Speaker 2: other than get a gun? Like, why would I knock

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Speaker 2: you for that? That's literally all you really got. They

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Speaker 2: didn't give you a lot of choices, So why would

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Speaker 2: I go, Well that I don't believe in that. Fuck

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Speaker 2: you you getting a gun? See you the coon type

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Speaker 2: of sellout that would do some shit like that. Cause

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Speaker 2: to me, I'm like, nah, it's as a realist, you

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Speaker 2: could be an idealist out here and just be shot,

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Speaker 2: or you could be or you could try to defend

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Speaker 2: yourself in the ways that you think you can. And

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Speaker 2: I think that's kind of what this shit is. It's

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Speaker 2: a heist, and some people just recognize game is game,

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Speaker 2: and you gotta get what you can out of this

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Speaker 2: shit because legitimately they will never offer us an avenue

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Speaker 2: to actually have freedom and equality and all that shit,

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Speaker 2: because at the core of all this is the fact

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Speaker 2: that whiteness does not see any other people as legitimate,

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Speaker 2: and so to have a negotiations or reformation or revolution, whatever,

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Speaker 2: you gotta have some level of people seeing each other

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Speaker 2: as equals at the end of that for that to

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Speaker 2: be any level of progress, and I think whiteness at

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Speaker 2: all is essentially a h It is hopeless to wait

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Speaker 2: for that moment I don't see them, I don't see

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Speaker 2: them ever having that that come to Jesus moment of

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Speaker 2: oh my God, we need to reconcile at and not

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Speaker 2: in the way that would make it right, like maybe

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Speaker 2: some some pittance, maybe some uh maybe you know, maybe

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Speaker 2: some advancement, but it's never gonna be because it can

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Speaker 2: never be made right. The people who are not here

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Speaker 2: anymore that you can't make that right. The generations people

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Speaker 2: have told under the generations taken from us, the generations

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Speaker 2: of people whose lives were just consistently, and I mean

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Speaker 2: this in the dictionary definition retarded because from the course

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Speaker 2: that their lives would have been. But it was just like, no,

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Speaker 2: we're gonna continue to make sure that it does not

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Speaker 2: go the path, Like no matter what your potential was

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Speaker 2: or is, it does not get met. That ship is

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Speaker 2: built into the layer cake on the bottom layer of America.

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Speaker 2: I don't think you can undo that. I mean maybe

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Speaker 2: somebode will proved me wrong. I don't know, maybe the

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Speaker 2: kids figured some shit out. I don't think you can

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Speaker 2: undo it. And that's why the fuck people is just like, well,

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Speaker 2: I guess I'm gonna try to get money, or I

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Speaker 2: guess I'm gonna leave the country, or I guess you know.

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Speaker 2: Like that's why a lot of that is happening, because

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Speaker 2: I think a lot of people just see the game

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Speaker 2: for what it is. It's like, what's the point of this, right?

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Speaker 3: Why am I wasting my time?

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Speaker 2: So that's what it made me think about, Yeah, that's

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Speaker 2: crazy because even the good white people sixty I think

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Speaker 2: we represent, you know what I'm saying, Like when they

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Speaker 2: cover poverty, we represent sixty percent of stories. When they

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Speaker 2: do debates and they bring up blackness, It's always starts

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Speaker 2: with you know, well, you know, the inner cities and

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Speaker 2: the poor people and what are we going to do

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Speaker 2: for government programs and all this shit, and it's just like, damn,

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Speaker 2: that's fucking hopeless like that. Those are the good ones,

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Speaker 2: you know what I mean. That's the people that you're like, Man,

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Speaker 2: I hope they can get this figured out. So you know,

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Speaker 2: that's how I felt after reading that shit today. All right,

359
00:21:49,040 --> 00:21:52,480
Speaker 2: let's get into the show. Show. Okay, lots of stuff

360
00:21:52,560 --> 00:21:57,040
Speaker 2: is happening, lots of news is happening, regardless, it continues.

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Speaker 2: I did want to say before we get started. I

362
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Speaker 2: saw a I saw a car the other day when

363
00:22:06,320 --> 00:22:10,720
Speaker 2: I want to go your Donuts, and it had a

364
00:22:10,840 --> 00:22:13,560
Speaker 2: sign on the back of it that said the truck

365
00:22:13,640 --> 00:22:16,240
Speaker 2: said it said, the vaccine is the market to B

366
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Speaker 2: six six' six. So yeah, we ain't never coming outside.

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Speaker 2: That's what I'm trying to say, everybody. We can't think

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Speaker 2: of a better way to get in the coronavirus.

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Speaker 1: Newsnavirus yeah, no shit, felt five infrared crypto collaboration shank, Yeah, motherfuckers.

370
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Speaker 4: Can't gather no more, can't party, no more.

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Speaker 5: Movie Dinter's over, think up the past is so long,

372
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Speaker 5: and these motherfucker's not wearing masks, so they wearing under

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Speaker 5: their nose and I'm like, h right, they carrying. I

374
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Speaker 5: think you young, gotta keep educating the leaders acting stupids,

375
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Speaker 5: fucking this nation, this pandemic were facing. We on, we

376
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Speaker 5: got in. This shows I just got over this COVID

377
00:22:59,119 --> 00:23:01,399
Speaker 5: and this ship ain't no cut you plenty in twenty

378
00:23:01,440 --> 00:23:03,840
Speaker 5: dozen plus they make it like me, I'm not taking

379
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Speaker 5: it for granted because this ship is frightening it.

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Speaker 6: It's understand it.

381
00:23:06,600 --> 00:23:09,160
Speaker 5: How basic the virtue for learning this They don't give

382
00:23:09,160 --> 00:23:11,399
Speaker 5: a tim about. Were not educating kids.

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Speaker 3: Yeah, for.

384
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Speaker 2: You to breed, yet it's unseen for you to breavirus, coronavirus.

385
00:23:26,359 --> 00:23:30,000
Speaker 2: Let's talk about it. Okay, coronavirus is still out here,

386
00:23:30,160 --> 00:23:33,040
Speaker 2: and it's still happening, and there's still a ship ton

387
00:23:33,080 --> 00:23:38,280
Speaker 2: of news about it. Oh yeah. The Biden team administration

388
00:23:38,440 --> 00:23:43,080
Speaker 2: says that it supports waving patent protections on COVID nineteen vaccines.

389
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Speaker 2: Just another thing that you know, this administration continues to

390
00:23:48,280 --> 00:23:52,400
Speaker 2: kind of lead and on and call out the problem being,

391
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Speaker 2: of course, the Trump administration was here during the vaccine process.

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Speaker 2: I don't know how you know how much they can

393
00:24:01,280 --> 00:24:04,680
Speaker 2: change with just that pressure alone. But I mean every

394
00:24:04,720 --> 00:24:10,119
Speaker 2: time someone is pushed for the Biden administration to like,

395
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Speaker 2: can we help out India? Yes, here's what we can do.

396
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Speaker 2: And I think I understand why for the business side

397
00:24:21,520 --> 00:24:25,200
Speaker 2: of this, but it's a pandemic, right, you know. I mean,

398
00:24:25,240 --> 00:24:27,359
Speaker 2: I hate to say it, but Song's gonna have to

399
00:24:27,400 --> 00:24:28,840
Speaker 2: make it up on the back end. I mean, are

400
00:24:28,920 --> 00:24:32,199
Speaker 2: y'all not making enough money off of the vaccine. I mean,

401
00:24:32,600 --> 00:24:35,400
Speaker 2: these people are gonna be super duper rich by the end.

402
00:24:35,280 --> 00:24:37,520
Speaker 3: Of this, right, And it's one of the things to

403
00:24:37,560 --> 00:24:40,360
Speaker 3: where when you drop that because other countries are coming

404
00:24:40,400 --> 00:24:42,720
Speaker 3: out with their own version, it's just not as effective.

405
00:24:43,200 --> 00:24:46,239
Speaker 3: So they're like, hey, let's make it as effective in

406
00:24:46,280 --> 00:24:49,600
Speaker 3: these other parts of the world. Like literally, y'all have

407
00:24:49,640 --> 00:24:52,080
Speaker 3: had monopoly on this shit since the shit rolled out.

408
00:24:52,119 --> 00:24:53,639
Speaker 3: It's time for y'all to give up some of this

409
00:24:53,760 --> 00:24:56,600
Speaker 3: money so that other places of the in the world

410
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Speaker 3: can get their people vaccinated too.

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Speaker 2: Yeah, and I do understand this, not one percent of

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Speaker 2: money thing.

413
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Speaker 3: I know.

414
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Speaker 2: Some of it was also just that, uh, some of

415
00:25:05,200 --> 00:25:10,879
Speaker 2: these countries just never developed the facilities and ship that

416
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Speaker 2: other countries did to be like, yo, here's the lab

417
00:25:13,880 --> 00:25:16,040
Speaker 2: here's a distribution method, here's are we going to do

418
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Speaker 2: this right? And so some of them are so behind.

419
00:25:19,080 --> 00:25:22,040
Speaker 2: Like people. One of the major things people keep missing

420
00:25:22,080 --> 00:25:24,280
Speaker 2: about India when they were trying to blame India on

421
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Speaker 2: all the other countries was that India has India has

422
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Speaker 2: a Trump. Yep, all the places where the Trump are fucked.

423
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Speaker 2: Brazil has a Trump.

424
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Speaker 3: It's fucked up, it's fucked up.

425
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Speaker 2: Here's that bad a president I'm now calling. I don't like, oh,

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Speaker 2: y'all got a Trump?

427
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Speaker 3: I mean that's what that's what it is. They're their

428
00:25:45,840 --> 00:25:49,760
Speaker 3: version of it, just like the people yes Trump.

429
00:25:49,680 --> 00:25:52,480
Speaker 2: Yeah, like if you got a Trump, man, it's it's

430
00:25:52,560 --> 00:25:56,840
Speaker 2: fucked because they was in denial. They exacerbated the situations

431
00:25:56,880 --> 00:26:02,000
Speaker 2: that made the virus spread, right, those people fucked so

432
00:26:02,160 --> 00:26:05,840
Speaker 2: many people that are gonna die because of them. Man. So,

433
00:26:05,960 --> 00:26:09,080
Speaker 2: like I was reading up for the show, you know, researching,

434
00:26:09,160 --> 00:26:11,520
Speaker 2: like what the fuck happened in India, and it's like, yeah,

435
00:26:11,560 --> 00:26:13,919
Speaker 2: he's a COVID nineteen denial. You've been telling people do

436
00:26:13,960 --> 00:26:16,240
Speaker 2: your religious ceremonies anyway, don't worry about it.

437
00:26:16,240 --> 00:26:19,119
Speaker 3: And it's like well, yeah, yeah, y'all know as a

438
00:26:19,160 --> 00:26:21,040
Speaker 3: skyrocket at two hundred thousand a day.

439
00:26:21,119 --> 00:26:25,359
Speaker 2: Yes, yeah, you need leadership that's willing to acknowledge this

440
00:26:25,480 --> 00:26:28,720
Speaker 2: a fucking pandemic. It seems like the lowest bar. But

441
00:26:28,800 --> 00:26:31,719
Speaker 2: if you don't, this is what happens. So you know,

442
00:26:32,359 --> 00:26:34,080
Speaker 2: and now the rest of the world is trying to

443
00:26:34,080 --> 00:26:38,040
Speaker 2: bail them out, but I don't. It's I have no

444
00:26:38,119 --> 00:26:40,560
Speaker 2: idea that gonna be able to do that. Like, it

445
00:26:40,680 --> 00:26:42,679
Speaker 2: seems like it's gonna get a lot worse before it

446
00:26:42,680 --> 00:26:48,000
Speaker 2: gets any better. Barcelona experimental concert show no signs of

447
00:26:48,040 --> 00:26:51,919
Speaker 2: coronavirus infection. So a trial rock concert held in Barcelona,

448
00:26:52,040 --> 00:26:55,480
Speaker 2: Spain and attended by five thousand people showed no sign

449
00:26:55,520 --> 00:26:59,000
Speaker 2: of cause of coronavirus contagion, organizer said April twenty seven.

450
00:27:00,040 --> 00:27:03,440
Speaker 2: So basically what they did was they had this concert outdoors.

451
00:27:03,960 --> 00:27:04,840
Speaker 7: And.

452
00:27:06,160 --> 00:27:10,920
Speaker 2: They had all the attendees participant in a PCR test

453
00:27:10,960 --> 00:27:14,440
Speaker 2: two weeks after the event, so you had to take

454
00:27:14,440 --> 00:27:16,720
Speaker 2: a test to go to make sure you didn't already

455
00:27:16,720 --> 00:27:20,080
Speaker 2: have it, and then you take a test afterwards, and

456
00:27:20,119 --> 00:27:22,400
Speaker 2: they said there's no sign that suggests transmission took place

457
00:27:22,440 --> 00:27:27,000
Speaker 2: during the event. Now this is from the organizers, so

458
00:27:27,840 --> 00:27:31,360
Speaker 2: you know, they have incentive of course to say and

459
00:27:31,680 --> 00:27:35,160
Speaker 2: there was no sign that anyone got anything.

460
00:27:35,520 --> 00:27:38,920
Speaker 3: Yeah, I won't like lab people to doctor people to

461
00:27:38,960 --> 00:27:40,560
Speaker 3: get a hold of this and do their study.

462
00:27:40,960 --> 00:27:47,159
Speaker 2: Yeah, but the hospital and a Spanish music promoter are

463
00:27:47,200 --> 00:27:50,040
Speaker 2: the ones who participated in it, so you had at

464
00:27:50,080 --> 00:27:53,960
Speaker 2: least a hospital, you know, tracking the results, so you

465
00:27:54,000 --> 00:27:56,880
Speaker 2: can kind of trust that. But yeah, they were given

466
00:27:56,920 --> 00:27:59,680
Speaker 2: express test for energy and of the to the virus.

467
00:28:00,040 --> 00:28:02,119
Speaker 2: They were had the temperature check and they were provided

468
00:28:02,320 --> 00:28:06,160
Speaker 2: FFP two mask for the event. They were also there

469
00:28:06,200 --> 00:28:09,959
Speaker 2: was also improved ventilation and management procedures for the toilet

470
00:28:10,000 --> 00:28:12,800
Speaker 2: and bar areas, but no social distancing. I saw it

471
00:28:12,840 --> 00:28:14,919
Speaker 2: was inside, Okay, my bad, I thought it was outside.

472
00:28:15,320 --> 00:28:17,439
Speaker 2: The picture they put out made it look like it

473
00:28:17,480 --> 00:28:22,600
Speaker 2: was outside. The event of Powell Site Jordie in the

474
00:28:22,920 --> 00:28:25,800
Speaker 2: Catalan capital was one of the first spectator events to

475
00:28:25,800 --> 00:28:28,560
Speaker 2: be held in Europe this year. The pandemic. Joss Up

476
00:28:28,640 --> 00:28:30,719
Speaker 2: said two weeks after the concert there had just been

477
00:28:30,840 --> 00:28:35,200
Speaker 2: six positive cases confirmed among the spectators, with organizers certain

478
00:28:35,240 --> 00:28:37,840
Speaker 2: that four of the six cases were not transmitted during

479
00:28:37,880 --> 00:28:41,160
Speaker 2: the concert. The medical expert added that the trial concert

480
00:28:41,200 --> 00:28:43,680
Speaker 2: show that we can guarantee a safe space for spectator

481
00:28:43,720 --> 00:28:48,880
Speaker 2: events were optimized ventilation testing and mask that's great news.

482
00:28:50,000 --> 00:28:51,880
Speaker 3: Yeah, that means people need to be on top of

483
00:28:51,920 --> 00:28:53,840
Speaker 3: their shit as fall, like the organized like y'all can't

484
00:28:53,840 --> 00:28:56,040
Speaker 3: be janky. Y'all literally have got to make your shit

485
00:28:56,120 --> 00:28:56,640
Speaker 3: runs right.

486
00:28:57,280 --> 00:29:03,920
Speaker 2: Yeah. I would worry obviously about people either lying about ventilation,

487
00:29:04,360 --> 00:29:09,440
Speaker 2: obviously not following pro obviously got human beings who aren't

488
00:29:09,480 --> 00:29:15,160
Speaker 2: gonna always follow shit, so you know, but I do

489
00:29:15,480 --> 00:29:16,520
Speaker 2: think this is hopeful.

490
00:29:17,240 --> 00:29:20,440
Speaker 3: Yes, Like somebody said, I wonder if they're gonna have

491
00:29:20,520 --> 00:29:22,960
Speaker 3: events and then just do virtual where you just charge

492
00:29:23,000 --> 00:29:25,160
Speaker 3: people just to stream the concerts.

493
00:29:26,080 --> 00:29:29,440
Speaker 2: But we already have some of that. But like, actually

494
00:29:29,600 --> 00:29:31,880
Speaker 2: attending in person is different. I think it's just a

495
00:29:31,920 --> 00:29:35,200
Speaker 2: different thing. And the fact that that it can can,

496
00:29:35,240 --> 00:29:38,240
Speaker 2: that it can happen is huge. Yes, yeah, you know,

497
00:29:38,320 --> 00:29:43,160
Speaker 2: this is this I cannot uh over, I cannot understate this,

498
00:29:43,320 --> 00:29:45,640
Speaker 2: like this is this is amazing and I hope that

499
00:29:45,760 --> 00:29:48,640
Speaker 2: this is a real thing. I love that countries that

500
00:29:48,680 --> 00:29:50,800
Speaker 2: have handled this better than us have been able to

501
00:29:50,840 --> 00:29:54,280
Speaker 2: do some experiments so that you know, cause like while

502
00:29:54,320 --> 00:29:57,640
Speaker 2: I think I wouldn't go out to eat inside for

503
00:29:57,680 --> 00:29:59,880
Speaker 2: a while. I don't know when out next time I'll

504
00:29:59,880 --> 00:30:05,840
Speaker 2: do that. But something like go to see a band

505
00:30:06,120 --> 00:30:09,640
Speaker 2: and everyone's wearing masks and everyone in social distance and

506
00:30:09,640 --> 00:30:12,440
Speaker 2: it's been or actually they had no social digitas. So

507
00:30:12,840 --> 00:30:18,920
Speaker 2: you're vaccinated, you're wearing masks everyone. You know, it's ventilation,

508
00:30:19,440 --> 00:30:27,320
Speaker 2: it's checking the bathroom has a certain procedure. Knowing that

509
00:30:27,320 --> 00:30:30,120
Speaker 2: that could happen safely, I mean, it gives you a

510
00:30:30,200 --> 00:30:32,680
Speaker 2: lot of hope for like maybe when people do see

511
00:30:32,760 --> 00:30:36,400
Speaker 2: stand up in person and concerts in person, go to

512
00:30:36,440 --> 00:30:39,160
Speaker 2: the movies that that gives me a lot of hope.

513
00:30:39,160 --> 00:30:39,920
Speaker 2: And I hope it's true.

514
00:30:40,360 --> 00:30:46,120
Speaker 3: Yeah, and I know that particularly. I could see even

515
00:30:46,200 --> 00:30:49,080
Speaker 3: artists over here start touring in these areas you know

516
00:30:49,280 --> 00:30:51,600
Speaker 3: that are like this and be like, well, we get

517
00:30:51,640 --> 00:30:53,480
Speaker 3: to the United States and y'all because y'all ship together.

518
00:30:53,760 --> 00:30:57,520
Speaker 2: And of those six cases, four of them happened outside

519
00:30:57,840 --> 00:31:00,800
Speaker 2: of the event. Two of them. It's not that they

520
00:31:00,840 --> 00:31:02,680
Speaker 2: know what happened there. They're just like, we can't prove

521
00:31:02,720 --> 00:31:06,000
Speaker 2: it didn't happen there. Right, That is a very good result.

522
00:31:06,120 --> 00:31:11,200
Speaker 3: So it's excellent and it's encouraging. Two people that misconcerts

523
00:31:11,240 --> 00:31:14,360
Speaker 3: and things like that because I do, because you know,

524
00:31:14,480 --> 00:31:16,640
Speaker 3: before everything kind of shut down, men and Mama have

525
00:31:16,680 --> 00:31:19,200
Speaker 3: been talking. I've told everyboud it. We had went to

526
00:31:19,280 --> 00:31:21,640
Speaker 3: that married J Blige concert, and so I started actually

527
00:31:21,680 --> 00:31:24,520
Speaker 3: looking for shit that is like coming through Charlotte, you know,

528
00:31:24,560 --> 00:31:27,960
Speaker 3: because I made myself a list kind of like my

529
00:31:28,080 --> 00:31:30,800
Speaker 3: wish list of artists that I would love to see live.

530
00:31:30,920 --> 00:31:33,520
Speaker 3: I made a long list, and you know, I was

531
00:31:33,560 --> 00:31:35,880
Speaker 3: slowly gonna start checking them people off as they floated

532
00:31:35,920 --> 00:31:38,320
Speaker 3: through Charlotte and their surrounding area. I'm gonna go back

533
00:31:38,560 --> 00:31:40,080
Speaker 3: and look at you know, and look at that list,

534
00:31:40,120 --> 00:31:42,720
Speaker 3: and you know, once everything gets gets open to stuff

535
00:31:42,720 --> 00:31:44,960
Speaker 3: and I feel, you know, comfortable and everybody, you know,

536
00:31:45,000 --> 00:31:46,800
Speaker 3: it's kind of proved that, you know, you don't have

537
00:31:46,880 --> 00:31:50,200
Speaker 3: these massive outbreaks. You know, it might be something I

538
00:31:50,240 --> 00:31:52,840
Speaker 3: could could do, because I think when we went to

539
00:31:52,880 --> 00:31:55,000
Speaker 3: the married Ja Bloge concert, it was outside. It wasn't like,

540
00:31:55,080 --> 00:31:58,560
Speaker 3: it wasn't an inside event. So yeah, if you could

541
00:31:58,560 --> 00:32:02,040
Speaker 3: do an outside event, not social distanced, everybody had their

542
00:32:02,080 --> 00:32:04,280
Speaker 3: mask on, and you not have these outbreaks, you know,

543
00:32:04,800 --> 00:32:07,440
Speaker 3: you know, within a reasonable amount of time, Like I guess,

544
00:32:07,440 --> 00:32:09,440
Speaker 3: we're o person to feel comfortable because nobody knows what

545
00:32:09,480 --> 00:32:13,120
Speaker 3: a reasonable amount of time is. Yeah, I would not mind,

546
00:32:13,160 --> 00:32:15,520
Speaker 3: you know, going to see things.

547
00:32:15,240 --> 00:32:20,320
Speaker 2: Like that, right, Speaking of edge, England held at experimental

548
00:32:20,520 --> 00:32:24,000
Speaker 2: Music festival to test whether such events spread COVID nineteen.

549
00:32:24,600 --> 00:32:29,600
Speaker 2: Live music, Yeah, live music returned to the birthplace of

550
00:32:29,600 --> 00:32:32,560
Speaker 2: the Beatles after long coronavirus and forced silence on Sunday

551
00:32:33,040 --> 00:32:35,400
Speaker 2: when the English city of Liverpool hosted a one off

552
00:32:35,480 --> 00:32:38,520
Speaker 2: music festival to test whether such a vistance was spread

553
00:32:38,560 --> 00:32:41,760
Speaker 2: the virus. Five thousand people ditch face coverings and social

554
00:32:41,840 --> 00:32:44,280
Speaker 2: distancing rules in the name of science and music that

555
00:32:44,360 --> 00:32:47,640
Speaker 2: attended the outdoor event, having tested negative for COVID nineteen

556
00:32:48,040 --> 00:32:50,680
Speaker 2: and promised to get themselves tested again five days after

557
00:32:50,720 --> 00:32:53,880
Speaker 2: the festival. Now already I kind of feel like that

558
00:32:53,960 --> 00:32:58,480
Speaker 2: should be too up to two weeks, cause five days

559
00:32:58,560 --> 00:33:02,320
Speaker 2: you could have contracted it and just have a slow

560
00:33:02,440 --> 00:33:06,880
Speaker 2: build up and not really show show the effects for

561
00:33:06,920 --> 00:33:08,400
Speaker 2: a few days. Yeah, if you.

562
00:33:08,400 --> 00:33:10,960
Speaker 3: Do the fourteen days, that that's some more realistic.

563
00:33:11,120 --> 00:33:11,320
Speaker 2: Yeah.

564
00:33:11,320 --> 00:33:12,880
Speaker 3: But I guess they was like, well, we do it

565
00:33:12,920 --> 00:33:15,040
Speaker 3: as soon as possible, just to be sure you didn't

566
00:33:15,040 --> 00:33:17,760
Speaker 3: get it within the you know, but like you said,

567
00:33:18,280 --> 00:33:20,760
Speaker 3: to get a true number, you need to wait fourteen days.

568
00:33:20,840 --> 00:33:23,440
Speaker 2: Yeah, at least that's what made me feel comfortable. Maybe

569
00:33:23,440 --> 00:33:25,880
Speaker 2: if they did intervals like five and in ten and

570
00:33:25,920 --> 00:33:27,400
Speaker 2: then fifteen or something.

571
00:33:27,200 --> 00:33:29,600
Speaker 3: That would make more sense, like every like maybe within

572
00:33:29,680 --> 00:33:31,320
Speaker 3: that period of time two to three times.

573
00:33:31,440 --> 00:33:34,120
Speaker 2: Yes, the data will be used by the government's Events

574
00:33:34,160 --> 00:33:37,880
Speaker 2: Research Program to help undermine the effects understand the effects

575
00:33:37,920 --> 00:33:40,480
Speaker 2: of crowds on the spreads of the virus. Sunday's lineup

576
00:33:41,120 --> 00:33:46,680
Speaker 2: in a purpose built tech consisted of three acts local singers,

577
00:33:46,800 --> 00:33:51,040
Speaker 2: so I don't really care who it was. So yeah,

578
00:33:51,280 --> 00:33:54,240
Speaker 2: we haven't got the results yet. This was May second,

579
00:33:54,240 --> 00:33:59,240
Speaker 2: so I guess the results should be coming in around now.

580
00:34:00,920 --> 00:34:02,880
Speaker 2: So I have to check back on this to see

581
00:34:02,880 --> 00:34:09,799
Speaker 2: what happens with the results, because I mean, but you know,

582
00:34:09,960 --> 00:34:13,680
Speaker 2: if we might find out something different, you know, like okay,

583
00:34:13,840 --> 00:34:18,320
Speaker 2: no mask outdoors, maybe it's spread is higher or something.

584
00:34:18,400 --> 00:34:18,759
Speaker 3: You know.

585
00:34:19,440 --> 00:34:22,280
Speaker 2: Mrderna says it's COVID nineteen vaccine is ninety six percent

586
00:34:22,400 --> 00:34:25,440
Speaker 2: effective in teens. That's good news.

587
00:34:25,719 --> 00:34:26,120
Speaker 3: Let's go.

588
00:34:26,480 --> 00:34:29,280
Speaker 2: I think Pfizer was approved for teens.

589
00:34:29,760 --> 00:34:32,560
Speaker 3: It was from twelve day from twelve year old, twelve

590
00:34:32,600 --> 00:34:33,399
Speaker 3: to fifteen year old.

591
00:34:33,560 --> 00:34:38,680
Speaker 2: Yeah, California bar owner was arrested for selling fake COVID

592
00:34:38,719 --> 00:34:40,280
Speaker 2: nineteen vaccination cards.

593
00:34:42,480 --> 00:34:44,360
Speaker 3: What, of course you don't get caught.

594
00:34:46,120 --> 00:34:49,880
Speaker 2: The logic of this doesn't make sense to me. You

595
00:34:49,960 --> 00:34:52,680
Speaker 2: won't get vaccinated, but you do want the card to

596
00:34:52,840 --> 00:34:54,239
Speaker 2: look like you got vaccinated.

597
00:34:54,360 --> 00:34:56,360
Speaker 3: Why because you want the freedom to move around and

598
00:34:56,360 --> 00:34:57,799
Speaker 3: you don't want to be judged bishop But no.

599
00:34:57,840 --> 00:35:01,839
Speaker 2: One, no one's restricting anyone's freedom with the cards right now?

600
00:35:01,880 --> 00:35:02,239
Speaker 2: Are they?

601
00:35:02,360 --> 00:35:02,759
Speaker 3: Mm hmm?

602
00:35:03,560 --> 00:35:06,000
Speaker 2: Like, I mean, are there's some Maybe maybe there's just

603
00:35:06,040 --> 00:35:07,759
Speaker 2: some you know what, maybe there's some shit we're not

604
00:35:07,840 --> 00:35:11,400
Speaker 2: doing that I don't like. Maybe if you get on

605
00:35:11,440 --> 00:35:13,040
Speaker 2: a plane you have to show it or something. I

606
00:35:13,080 --> 00:35:13,440
Speaker 2: don't know.

607
00:35:13,920 --> 00:35:15,960
Speaker 3: And also I think they want to be the victim,

608
00:35:16,040 --> 00:35:18,120
Speaker 3: so you know, it's but the thing is, if you're

609
00:35:18,160 --> 00:35:22,680
Speaker 3: not vaccinating, you're literally not benefiting anybody, not benefiting yourself,

610
00:35:22,680 --> 00:35:26,120
Speaker 3: and you're not benefiting people around you. Yeah, it doesn't

611
00:35:26,160 --> 00:35:26,680
Speaker 3: make sense.

612
00:35:26,719 --> 00:35:30,359
Speaker 2: It's the ultimate amount of selfishness, right, Like, I'm not

613
00:35:30,400 --> 00:35:33,640
Speaker 2: gonna get vaccinated, but I want to do a bunch

614
00:35:33,680 --> 00:35:38,680
Speaker 2: of risky shit. Why because I want to? There's no logic.

615
00:35:39,000 --> 00:35:41,640
Speaker 2: It's really more of a risk for that person at

616
00:35:41,640 --> 00:35:45,000
Speaker 2: that point, because essentially, what you're saying is spaces where

617
00:35:45,040 --> 00:35:48,200
Speaker 2: people are vaccinating if they're gonna make the card or requirement.

618
00:35:48,239 --> 00:35:51,640
Speaker 2: What they're saying is, hey, you need to be vaccinated

619
00:35:51,640 --> 00:35:54,120
Speaker 2: for your own safety and safety everybody else to come

620
00:35:54,160 --> 00:35:57,000
Speaker 2: in here. So if you're like, I'm unvaccinated, but I

621
00:35:57,000 --> 00:35:59,760
Speaker 2: would like to come in anyway, what you're really saying

622
00:35:59,800 --> 00:36:02,800
Speaker 2: is I'm willing to take a higher risk of catching

623
00:36:02,840 --> 00:36:06,040
Speaker 2: it for me, you know what I mean, Because you

624
00:36:06,040 --> 00:36:09,399
Speaker 2: could spread it to a vaccinated people. They most likely

625
00:36:09,440 --> 00:36:12,759
Speaker 2: would have mouth symptoms and be okay, but you might

626
00:36:12,880 --> 00:36:14,239
Speaker 2: fucking get sick, you.

627
00:36:14,480 --> 00:36:16,960
Speaker 3: Right, and have a higher probability of dying.

628
00:36:17,040 --> 00:36:19,560
Speaker 2: Yeah, passes on the other people. What a weird thing.

629
00:36:20,320 --> 00:36:20,600
Speaker 3: Yeah.

630
00:36:21,320 --> 00:36:26,440
Speaker 2: The Alcohol and Beverage Control, California Department Alcohol Beverage Control,

631
00:36:26,800 --> 00:36:28,840
Speaker 2: did an undercover investigation.

632
00:36:29,160 --> 00:36:31,319
Speaker 3: And they heard it from somebody and they was like,

633
00:36:31,400 --> 00:36:32,399
Speaker 3: let's go check this out.

634
00:36:32,480 --> 00:36:35,959
Speaker 2: Yeah. They found Todd Anderson fifty nine, made and sold

635
00:36:35,960 --> 00:36:39,399
Speaker 2: the cars at his bar. Authorities claim Anderson was trump

636
00:36:39,480 --> 00:36:42,120
Speaker 2: selling the cars for twenty dollars each. At least eight

637
00:36:42,160 --> 00:36:44,520
Speaker 2: were sold before the scheme was shut down by undercover

638
00:36:44,600 --> 00:36:47,399
Speaker 2: agents who said they brought bought IDs from the bar

639
00:36:47,480 --> 00:36:52,240
Speaker 2: on several occasions in April, eliminated machine was eliminated machine

640
00:36:52,320 --> 00:36:54,680
Speaker 2: was seized, as well as thirty blank cards. You're not

641
00:36:54,680 --> 00:37:01,960
Speaker 2: even supposed to eliminate them, Jesus christ Man. What the

642
00:37:01,960 --> 00:37:07,840
Speaker 2: fuck are we gonna do, y'all? Yep, just gonna laiminate

643
00:37:08,640 --> 00:37:11,640
Speaker 2: going the business. It's a business opportunity. That's the only

644
00:37:11,719 --> 00:37:12,799
Speaker 2: thing I see.

645
00:37:12,640 --> 00:37:13,960
Speaker 3: And it wouldn't charging that much.

646
00:37:15,040 --> 00:37:21,000
Speaker 2: The DC Mayor, Muriel Bowser, has banned dancing and standing

647
00:37:21,080 --> 00:37:21,719
Speaker 2: at weddings.

648
00:37:23,560 --> 00:37:26,080
Speaker 3: So cause you're gonna setting y'all asses down.

649
00:37:26,320 --> 00:37:29,160
Speaker 2: Yeah, because you can have a wedding now because of

650
00:37:29,200 --> 00:37:32,279
Speaker 2: the loosen restrictions. But she's like the things that people

651
00:37:32,360 --> 00:37:34,799
Speaker 2: doing weddings typically violate the.

652
00:37:35,400 --> 00:37:37,880
Speaker 3: Quarantine right because guess what you're doing when you're dancing,

653
00:37:37,920 --> 00:37:40,879
Speaker 3: you're fucking breathing hard all in each other's face. You're

654
00:37:40,920 --> 00:37:44,400
Speaker 3: standing around, Guess what you're doing breathing in each other's faces.

655
00:37:44,680 --> 00:37:47,200
Speaker 2: Yes, limited to twenty five percent capacity or up to

656
00:37:47,200 --> 00:37:50,040
Speaker 2: two hundred and fifty people, whichever is less. Weddings with

657
00:37:50,080 --> 00:37:53,000
Speaker 2: more than two hundred and fifty attendees require special waiver

658
00:37:53,280 --> 00:37:57,000
Speaker 2: even with increased capacity. However, wedding gas message main socially

659
00:37:57,040 --> 00:38:01,279
Speaker 2: distanced as seated standing in dancing are rehibited, going back

660
00:38:01,320 --> 00:38:05,560
Speaker 2: to the Calvinist traditions, it won't be no dancing in

661
00:38:05,600 --> 00:38:09,319
Speaker 2: this city. Okay, it's gonna be like the town from Footloots, right.

662
00:38:10,360 --> 00:38:12,680
Speaker 2: Uh so basically no black weddings.

663
00:38:12,400 --> 00:38:15,720
Speaker 3: I mean no, no electric slide slide.

664
00:38:15,520 --> 00:38:18,320
Speaker 2: Definitely can't do that. White people can't hit that funky

665
00:38:18,400 --> 00:38:20,080
Speaker 2: chicken that's their electric slide.

666
00:38:20,760 --> 00:38:21,840
Speaker 3: Won't be no two stepping.

667
00:38:22,160 --> 00:38:26,120
Speaker 2: Yeah so, But but like I said, I get it,

668
00:38:26,600 --> 00:38:28,040
Speaker 2: I get it.

669
00:38:28,040 --> 00:38:31,120
Speaker 3: It's about the safety of all because when people have

670
00:38:31,280 --> 00:38:35,560
Speaker 3: these events, most people don't have the restriction of everybody

671
00:38:35,640 --> 00:38:37,640
Speaker 3: gotta be vaccinated, so you know, you know, they know

672
00:38:37,680 --> 00:38:39,960
Speaker 3: you're gonna have vaccinated and unvaccinated people there.

673
00:38:42,000 --> 00:38:51,000
Speaker 2: So yeah, it's even if everybody is motherfuckers are getting

674
00:38:51,040 --> 00:38:55,480
Speaker 2: fake cards to say they vaccinated. Motherfuckers are lying. Like

675
00:38:57,239 --> 00:39:00,080
Speaker 2: even if you hope, you hope everyone's vaccinated, well who knows,

676
00:39:00,120 --> 00:39:06,920
Speaker 2: motherfuckers tell you the truth. Maderna and COVID but sorry,

677
00:39:06,960 --> 00:39:09,360
Speaker 2: Maderner and fives of COVID vaccines have been shown to

678
00:39:09,360 --> 00:39:12,360
Speaker 2: be effective against the variants. Like I said, it was

679
00:39:12,400 --> 00:39:14,040
Speaker 2: going to take a while. The test on this shit.

680
00:39:14,320 --> 00:39:17,560
Speaker 2: Of course everyone was panicking. The news was panicking. I

681
00:39:17,560 --> 00:39:20,160
Speaker 2: don't blame people, but all the headlines are like, this

682
00:39:20,400 --> 00:39:25,560
Speaker 2: variant shown to be this, it could make the vaccines

683
00:39:26,200 --> 00:39:29,560
Speaker 2: irrelevant or whatever. And we didn't really have reason to

684
00:39:29,600 --> 00:39:33,160
Speaker 2: truly know to believe that or not, because a lot

685
00:39:33,160 --> 00:39:36,080
Speaker 2: of that had been scientifically worked on. It had been

686
00:39:36,239 --> 00:39:40,040
Speaker 2: like a kind of anecdotal, like, yo, we noticed that

687
00:39:40,120 --> 00:39:43,800
Speaker 2: some people continue to get sick after the getting the vaccine,

688
00:39:43,880 --> 00:39:46,080
Speaker 2: So what is this a trend? This is one hundred

689
00:39:46,120 --> 00:39:50,359
Speaker 2: percent what's going on. But yeah, they're saying that they

690
00:39:50,400 --> 00:39:53,080
Speaker 2: are effective. They have been proven to be effective against

691
00:39:53,080 --> 00:39:56,480
Speaker 2: the variants. COVID cases are falling in thirty states, with

692
00:39:56,560 --> 00:40:01,120
Speaker 2: the third of Americans fully vaccinated. This is the best

693
00:40:01,200 --> 00:40:02,320
Speaker 2: argument for getting vaccinated.

694
00:40:02,400 --> 00:40:03,040
Speaker 3: Let's go.

695
00:40:04,960 --> 00:40:09,360
Speaker 2: Places where people are vaccinated are having a decrease and

696
00:40:10,640 --> 00:40:15,680
Speaker 2: people having COVID. I don't think it's a fucking coincidence.

697
00:40:16,640 --> 00:40:19,200
Speaker 2: You know. The worst part is that the decrease in

698
00:40:19,360 --> 00:40:23,799
Speaker 2: cases make people feel more bold about and I don't

699
00:40:23,840 --> 00:40:25,920
Speaker 2: mean people have been vaccinated, but just people in general,

700
00:40:26,160 --> 00:40:29,440
Speaker 2: about lowering restrictions and going out and doing shit. The

701
00:40:29,520 --> 00:40:33,080
Speaker 2: work is getting vaccinated, though, get vaccinated and we will

702
00:40:33,160 --> 00:40:36,440
Speaker 2: reach a point where we can have heard some level

703
00:40:36,440 --> 00:40:40,080
Speaker 2: of herd immunity or something type something like that. Because

704
00:40:40,120 --> 00:40:42,920
Speaker 2: we are showing that it's not a coincidence, these numbers

705
00:40:42,920 --> 00:40:47,000
Speaker 2: are going down again. Every time we've opened up shit

706
00:40:47,120 --> 00:40:50,960
Speaker 2: without a vaccine. We've seen the results every time places

707
00:40:50,960 --> 00:40:53,080
Speaker 2: have gotten vaccinated. The only places on the earth that

708
00:40:53,120 --> 00:40:55,360
Speaker 2: seem to we have at some level of normalcy that

709
00:40:55,480 --> 00:40:58,800
Speaker 2: it's places that have had the vaccine vaccinated. Everyone who's

710
00:40:58,800 --> 00:41:01,960
Speaker 2: been in deep denial signs typically about what happens when

711
00:41:01,960 --> 00:41:04,000
Speaker 2: you're not vaccinating. You just go out in the public

712
00:41:04,040 --> 00:41:08,040
Speaker 2: and do shit. It's suffering. India is a great example

713
00:41:08,040 --> 00:41:11,640
Speaker 2: of that. But so it's Florida. You know what, like

714
00:41:12,520 --> 00:41:15,279
Speaker 2: all the places that reject the science, just fuck people up,

715
00:41:16,239 --> 00:41:20,600
Speaker 2: anti vaxxer stole COVID vaccine vows and a bizarre confrontation,

716
00:41:22,480 --> 00:41:22,960
Speaker 2: why you.

717
00:41:22,920 --> 00:41:24,960
Speaker 3: Don't believe in it? Just lead toshit the fuck. I

718
00:41:24,960 --> 00:41:27,560
Speaker 3: don't understand these people just gone bout your ben it

719
00:41:27,560 --> 00:41:29,560
Speaker 3: don't be destroying shit right.

720
00:41:29,840 --> 00:41:34,239
Speaker 2: It's one because we have you know, social media, dopamine

721
00:41:34,280 --> 00:41:36,759
Speaker 2: hits and flexing online, and this is their way of

722
00:41:36,800 --> 00:41:38,640
Speaker 2: doing this, like running up in the Capitol for them.

723
00:41:39,239 --> 00:41:44,920
Speaker 2: But then also it's they don't just believe that this

724
00:41:45,040 --> 00:41:48,440
Speaker 2: vaccine doesn't work or that COVID doesn't exist. It has

725
00:41:48,520 --> 00:41:50,880
Speaker 2: to be like a huge conspiracy, which makes them the

726
00:41:50,920 --> 00:41:55,120
Speaker 2: hero of it. Like it's why QAnon is a thing.

727
00:41:55,160 --> 00:41:57,920
Speaker 2: It's because q andon makes everyone who believes in it

728
00:41:58,000 --> 00:42:02,120
Speaker 2: the hero of the story. Like you're you're a real patriot,

729
00:42:02,640 --> 00:42:07,200
Speaker 2: You're really saving every America or whatever. So this loser

730
00:42:08,640 --> 00:42:14,520
Speaker 2: went into winding stole some Johnson and Johnson COVID vaccine vials.

731
00:42:15,640 --> 00:42:18,240
Speaker 3: He tried online, no wonder, Yes, you're gonna get arrested.

732
00:42:18,400 --> 00:42:20,279
Speaker 2: He tricked the pharmacy folks. I say he just wanted

733
00:42:20,280 --> 00:42:21,879
Speaker 2: to look at the label on the val but once

734
00:42:21,880 --> 00:42:23,360
Speaker 2: it was in his hand, he made off with it

735
00:42:23,400 --> 00:42:25,719
Speaker 2: as he claimed it was toxic to humans. He said

736
00:42:25,719 --> 00:42:27,320
Speaker 2: he was going to have a tested at a lab

737
00:42:27,400 --> 00:42:30,000
Speaker 2: as he walked out of the store and he got

738
00:42:30,080 --> 00:42:33,600
Speaker 2: arrested of course. Yeah, and I see why he was

739
00:42:33,600 --> 00:42:34,200
Speaker 2: wearing a hat.

740
00:42:35,440 --> 00:42:36,320
Speaker 3: Mm hmmmm.

741
00:42:37,080 --> 00:42:40,240
Speaker 2: I mean, for a dude that don't believe in the coronavirus,

742
00:42:41,040 --> 00:42:45,320
Speaker 2: you think he would have went to the barber. Maybe

743
00:42:45,320 --> 00:42:49,200
Speaker 2: that's why he was mad. The barbershop was taking appointments.

744
00:42:49,200 --> 00:42:50,880
Speaker 2: He couldn't get one, and he was like, fuck it,

745
00:42:51,560 --> 00:42:55,560
Speaker 2: this ain't real. I think we said this. Yesterday was

746
00:42:55,560 --> 00:42:58,000
Speaker 2: seventy four people got COVID nineteen at a church that

747
00:42:58,080 --> 00:43:00,920
Speaker 2: sued last year in the effort to overturn or restrictions.

748
00:43:01,200 --> 00:43:08,200
Speaker 3: H you don't say.

749
00:43:06,960 --> 00:43:11,600
Speaker 2: Yep uh. The European Union is gonna buy one point

750
00:43:11,680 --> 00:43:16,080
Speaker 2: eight billion doses of the Figer vaccine because you know,

751
00:43:16,239 --> 00:43:20,719
Speaker 2: they was having issues with the astrosneca. I don't know

752
00:43:20,760 --> 00:43:23,640
Speaker 2: if they was having shortages. I think they were just

753
00:43:23,760 --> 00:43:26,120
Speaker 2: like people to stop trusting that vaccine.

754
00:43:26,320 --> 00:43:28,560
Speaker 3: Okay, okay, i' see what we're saying, which which calls

755
00:43:28,600 --> 00:43:30,720
Speaker 3: to slow down and people getting vaccinated. Yeah.

756
00:43:30,920 --> 00:43:34,000
Speaker 2: So, and I think it's unfortunate that fire has become

757
00:43:34,080 --> 00:43:37,879
Speaker 2: the luxury vaccine for everybody. You know, gang gang, all

758
00:43:37,920 --> 00:43:43,160
Speaker 2: this shit. It's unfortunate because they all work. But at

759
00:43:43,200 --> 00:43:45,480
Speaker 2: this point, if it's if that's what it will take

760
00:43:45,520 --> 00:43:47,000
Speaker 2: to get people to take it, I don't give a

761
00:43:47,000 --> 00:43:50,120
Speaker 2: fuck then. I mean, I low key would just switch

762
00:43:50,160 --> 00:43:52,279
Speaker 2: the labels on the other vaccines. But I get that

763
00:43:52,320 --> 00:43:57,160
Speaker 2: that's unscrupulous, but just right then, go buy some other ones.

764
00:43:57,239 --> 00:43:59,640
Speaker 2: If that's what the fuck people will take just whatever

765
00:43:59,680 --> 00:44:02,279
Speaker 2: it gets them to take it. That's that's what we need.

766
00:44:02,360 --> 00:44:06,360
Speaker 2: That's the point we're at now. Whoever these holdouts are fine,

767
00:44:07,200 --> 00:44:09,640
Speaker 2: you win what what you need? Fives or you won't

768
00:44:09,640 --> 00:44:12,959
Speaker 2: do it? Cool, here you go, you know, you cause

769
00:44:13,200 --> 00:44:17,600
Speaker 2: our media is so sensationalistic, we don't have any balance.

770
00:44:17,640 --> 00:44:22,080
Speaker 2: It's just you know, as if you just tell ask

771
00:44:22,120 --> 00:44:24,359
Speaker 2: people to name the vaccines in the first start, you're

772
00:44:24,360 --> 00:44:27,640
Speaker 2: gonna get blood clots or some ship you know, astratinic

773
00:44:27,719 --> 00:44:30,560
Speaker 2: blood clots, Johnson Johnson blood clots, And you're like, do

774
00:44:30,600 --> 00:44:32,480
Speaker 2: you know how many people? Do you know what the

775
00:44:32,520 --> 00:44:35,359
Speaker 2: percentage chance is? Do you you know what I'm saying?

776
00:44:35,360 --> 00:44:37,400
Speaker 2: Do you understand what the everyday chance of having a

777
00:44:37,440 --> 00:44:39,760
Speaker 2: blood clot is just without the vaccine?

778
00:44:39,960 --> 00:44:41,640
Speaker 3: Right relast line?

779
00:44:41,680 --> 00:44:44,120
Speaker 2: None of that ship is in the headline. So you

780
00:44:44,200 --> 00:44:46,520
Speaker 2: got people pairing on and scared. So fuck it, man,

781
00:44:46,680 --> 00:44:50,080
Speaker 2: just put do whatever you need to do to get

782
00:44:50,120 --> 00:44:53,720
Speaker 2: motherfuckers to try come on, you know, like this vaccine

783
00:44:53,840 --> 00:44:58,480
Speaker 2: by Supreme y'all go ahead and uh injected, go ahead?

784
00:44:58,800 --> 00:45:01,120
Speaker 2: This what just what beyondes say? God? Like, whatever you

785
00:45:01,160 --> 00:45:05,160
Speaker 2: got to tell people, just get them to get it.

786
00:45:05,200 --> 00:45:05,719
Speaker 2: I don't care.

787
00:45:06,000 --> 00:45:07,280
Speaker 3: They would definitely get that shot.

788
00:45:07,440 --> 00:45:10,000
Speaker 2: A third of vaccine skeptics would get COVID nineteen shot

789
00:45:10,000 --> 00:45:13,680
Speaker 2: if they were offered one hundred dollars cash incentive. You

790
00:45:13,760 --> 00:45:16,640
Speaker 2: search as at UCLA asked one of seven thousand vaccinated

791
00:45:16,680 --> 00:45:19,359
Speaker 2: Americans where the cashing centers would encourage them to get

792
00:45:19,360 --> 00:45:21,440
Speaker 2: the shot. Thirty four percent said they'd be likely to

793
00:45:21,480 --> 00:45:24,360
Speaker 2: get vaccinated if they were offered one hundred dollars. Thirty

794
00:45:24,360 --> 00:45:26,480
Speaker 2: one percent said they would be likely to get if

795
00:45:26,520 --> 00:45:35,600
Speaker 2: they were offered fifty dollars. Fifteen percent said the cash

796
00:45:35,600 --> 00:45:37,799
Speaker 2: off would make them less likely to get vaccinated, which

797
00:45:37,800 --> 00:45:39,720
Speaker 2: I'm like you, but you already a holdout.

798
00:45:39,840 --> 00:45:41,120
Speaker 3: Yeah, yeah, you don't matter.

799
00:45:41,360 --> 00:45:44,279
Speaker 2: Just like those people that say, like, I'm not gonna

800
00:45:44,320 --> 00:45:47,040
Speaker 2: fuck with your podcast I never listened to. I'm like, okay,

801
00:45:47,800 --> 00:45:51,080
Speaker 2: so I lost that nothing here in this exchange. I

802
00:45:51,160 --> 00:45:54,640
Speaker 2: gained nor lost anything. The potential one day of you

803
00:45:54,719 --> 00:45:58,839
Speaker 2: fucking with me is what I lost. Okay, cool, But yeah,

804
00:45:59,040 --> 00:46:00,520
Speaker 2: I give them a hundred dollar, so I'm gonna give

805
00:46:00,560 --> 00:46:02,839
Speaker 2: a fuck if that's what it'll take.

806
00:46:02,880 --> 00:46:04,400
Speaker 3: Beas to gift called whatever it takes.

807
00:46:04,520 --> 00:46:07,960
Speaker 2: Which is crazy that people aren't actually hold out for

808
00:46:08,000 --> 00:46:12,920
Speaker 2: any philosophical reason. If it's one hundred dollars and that

809
00:46:12,920 --> 00:46:15,560
Speaker 2: would change how you feel about it, then it wasn't

810
00:46:15,600 --> 00:46:18,719
Speaker 2: ever really for any of the hesitancy that you said

811
00:46:18,719 --> 00:46:23,000
Speaker 2: it was, which is kind of good news. Like the

812
00:46:23,080 --> 00:46:25,240
Speaker 2: mother sixty six were saying, we might never get.

813
00:46:25,080 --> 00:46:27,600
Speaker 3: Down, that's true too, So it's kind of at least

814
00:46:27,600 --> 00:46:28,880
Speaker 3: we get you to cross the line.

815
00:46:29,120 --> 00:46:33,560
Speaker 2: Yeah, it's kind of good news. A new post shows

816
00:46:33,600 --> 00:46:36,680
Speaker 2: seventy nine percent of people who oppose COVID nineteen vaccine

817
00:46:36,719 --> 00:46:41,399
Speaker 2: won't change their minds without a hundred dollars.

818
00:46:41,480 --> 00:46:43,880
Speaker 3: I guess I believe them. And this is you know,

819
00:46:44,920 --> 00:46:49,200
Speaker 3: boils back to, you know, with schools trying to open

820
00:46:49,200 --> 00:46:51,680
Speaker 3: it up and trying to find a balance and hopefully

821
00:46:51,960 --> 00:46:54,000
Speaker 3: true that you're going to get vaccinated. But it's one

822
00:46:54,000 --> 00:46:56,840
Speaker 3: of those things where like you said, you have to

823
00:46:56,920 --> 00:47:00,479
Speaker 3: have a balance, like it's it's off, like.

824
00:47:00,760 --> 00:47:04,799
Speaker 2: It's also because it's it's political. Yeah, and it's not

825
00:47:04,840 --> 00:47:07,400
Speaker 2: just here it's political, but it's political a lot of places,

826
00:47:07,760 --> 00:47:10,120
Speaker 2: and people have a line of their identity around it.

827
00:47:10,480 --> 00:47:13,200
Speaker 2: I was looking at something the other day that's talking

828
00:47:13,239 --> 00:47:16,680
Speaker 2: about anti masks, and it was saying that the number

829
00:47:16,719 --> 00:47:19,400
Speaker 2: one thing people that were anti mask had in common

830
00:47:19,520 --> 00:47:24,120
Speaker 2: was anger. They were all angry, and they were saying

831
00:47:24,160 --> 00:47:26,560
Speaker 2: that police is like Fox News. And it makes sense

832
00:47:26,600 --> 00:47:29,400
Speaker 2: to me if you think about what Republicans have been

833
00:47:29,440 --> 00:47:34,080
Speaker 2: doing under body. They're looking for the next anger thing.

834
00:47:34,719 --> 00:47:39,279
Speaker 2: That's why they've done the transgender girls sports band, and

835
00:47:40,239 --> 00:47:42,440
Speaker 2: you see that they can't get that going, so then

836
00:47:42,480 --> 00:47:43,759
Speaker 2: they move on to the next thing.

837
00:47:43,880 --> 00:47:46,040
Speaker 3: They're just throwing at the wall because the thing is,

838
00:47:46,120 --> 00:47:48,400
Speaker 3: we keep you here as long as you're angry, because

839
00:47:48,440 --> 00:47:52,080
Speaker 3: the thing is, once you're not angry, we might actually

840
00:47:52,120 --> 00:47:55,440
Speaker 3: lose you to somebody that's actually being reasonable and rational

841
00:47:55,480 --> 00:47:57,000
Speaker 3: because you're not full of rage.

842
00:47:57,360 --> 00:47:59,600
Speaker 2: Yeah, if we were actually educating you and shit, you

843
00:47:59,600 --> 00:48:03,239
Speaker 2: wouldn't be so scared and paranoid about it. But it's

844
00:48:03,239 --> 00:48:05,520
Speaker 2: funny because they're looking for a hit they have they

845
00:48:05,520 --> 00:48:09,480
Speaker 2: can't find one yet because that transgender band stuff, it

846
00:48:09,560 --> 00:48:12,640
Speaker 2: really died down in a lot of places because a

847
00:48:12,640 --> 00:48:15,600
Speaker 2: lot even places where like in North Carolina, we have

848
00:48:15,680 --> 00:48:19,040
Speaker 2: Republicans in our government that basically were abandoned the shit

849
00:48:19,080 --> 00:48:22,439
Speaker 2: because it's like, Okay, no one's gonna rally behind us.

850
00:48:22,480 --> 00:48:25,600
Speaker 3: Uproar no, because because people getting vaccinated, people trying to

851
00:48:25,600 --> 00:48:27,120
Speaker 3: get their lives back, no one and that stuck in

852
00:48:27,120 --> 00:48:28,399
Speaker 3: the house like well, I.

853
00:48:28,320 --> 00:48:32,840
Speaker 2: Think twenty seventeen, twenty twenty, I'm sorry. Twenty twenty showed

854
00:48:33,560 --> 00:48:38,759
Speaker 2: people Republicans specifically how much control they can have over

855
00:48:38,800 --> 00:48:42,400
Speaker 2: these people's minds. And they want to harness that same

856
00:48:42,560 --> 00:48:45,040
Speaker 2: power that got those people to go up to the Capitol,

857
00:48:45,840 --> 00:48:48,200
Speaker 2: like that type of the type of thing that had

858
00:48:48,360 --> 00:48:51,279
Speaker 2: like they stole the election. That was just all how

859
00:48:51,280 --> 00:48:53,640
Speaker 2: do we keep them angry? How do we keep them engaged?

860
00:48:54,200 --> 00:48:55,560
Speaker 2: That is about engagement?

861
00:48:55,840 --> 00:48:56,040
Speaker 3: You know.

862
00:48:56,239 --> 00:49:02,120
Speaker 2: Yes, the EU doesn't order renew for astrasenic of vaccine. Yeah,

863
00:49:02,160 --> 00:49:07,919
Speaker 2: like I said, the fucking confidence is shot. So that's

864
00:49:07,960 --> 00:49:11,880
Speaker 2: not happening. So I think that's why they are going fiser.

865
00:49:13,280 --> 00:49:17,280
Speaker 2: Americans are not getting mental health care needed amid the pandemic.

866
00:49:17,520 --> 00:49:20,319
Speaker 2: Report suggests before.

867
00:49:22,920 --> 00:49:24,360
Speaker 3: Not at the level that we should.

868
00:49:24,920 --> 00:49:29,239
Speaker 2: So let's see May's Mental Health Awareness Month and the

869
00:49:29,320 --> 00:49:32,879
Speaker 2: ongoing COVID nineteen pandemic has made access to mental health

870
00:49:32,920 --> 00:49:36,480
Speaker 2: services more necessary than ever, though several new reports suggest

871
00:49:36,719 --> 00:49:39,320
Speaker 2: Americans aren't getting the mental health care they need, despite

872
00:49:39,400 --> 00:49:43,440
Speaker 2: data show mental health concerns have increased in the pandemic. Yeah,

873
00:49:43,640 --> 00:49:46,520
Speaker 2: so I think that's my part of the part. I'm

874
00:49:46,520 --> 00:49:50,759
Speaker 2: looking at the increase because while we might be saying

875
00:49:50,760 --> 00:49:53,200
Speaker 2: people weren't getting therapy before, there's a lot of barriers

876
00:49:53,200 --> 00:49:57,400
Speaker 2: of therapy, money and time and all this shit. But

877
00:49:57,440 --> 00:49:59,680
Speaker 2: there's also this other barrier with this other thing that

878
00:49:59,760 --> 00:50:00,759
Speaker 2: was hap I know, which is that a lot of

879
00:50:00,760 --> 00:50:06,000
Speaker 2: people weren't feeling necessarily that many stressing events and stressors

880
00:50:06,040 --> 00:50:10,520
Speaker 2: in their lives. And I think the pandemic definitely gave

881
00:50:10,560 --> 00:50:13,640
Speaker 2: people a stressor, you know, like.

882
00:50:13,680 --> 00:50:16,800
Speaker 3: From income and no income, and you know, I was

883
00:50:16,840 --> 00:50:19,640
Speaker 3: reading an article about schooling and then we wanting to

884
00:50:19,640 --> 00:50:21,920
Speaker 3: reopen school, and they were saying that they're having a

885
00:50:21,960 --> 00:50:26,360
Speaker 3: hard time getting teenagers, particularly black and brown teenagers and

886
00:50:26,360 --> 00:50:29,799
Speaker 3: teenagers that are in polished areas to come back to

887
00:50:29,840 --> 00:50:32,319
Speaker 3: school because they were saying like, if a parent lost

888
00:50:32,360 --> 00:50:35,279
Speaker 3: a job, the child is going you know, working and

889
00:50:35,360 --> 00:50:37,759
Speaker 3: make an extra income, but a child is the babysitter

890
00:50:37,800 --> 00:50:40,080
Speaker 3: and things like that. So they was like, oh, we're

891
00:50:40,080 --> 00:50:43,480
Speaker 3: not rearranging our household to have my child in school

892
00:50:43,560 --> 00:50:45,440
Speaker 3: all fucking day long, Like no.

893
00:50:45,520 --> 00:50:50,080
Speaker 2: Yeah, not to mention, divorces have gone up. Yeah, your

894
00:50:50,120 --> 00:50:54,120
Speaker 2: childcare situation, whatever that is, has probably been affected. Your

895
00:50:54,200 --> 00:50:59,400
Speaker 2: job has probably been affected. Like so, yeah, sex lives

896
00:50:59,480 --> 00:51:02,160
Speaker 2: a bunch of you know, can you really date in

897
00:51:02,239 --> 00:51:05,120
Speaker 2: the pandemic safely? Kate? Do you feel safety and you

898
00:51:05,200 --> 00:51:08,480
Speaker 2: trust these motherfuckers? You know, just added levels of stress

899
00:51:08,520 --> 00:51:11,359
Speaker 2: to people. And yeah, people are not getting a lot

900
00:51:11,360 --> 00:51:13,560
Speaker 2: of therapy, a lot of help right now. According to

901
00:51:13,680 --> 00:51:15,840
Speaker 2: a report from Anthem, a major health insured in the

902
00:51:15,880 --> 00:51:18,640
Speaker 2: country that serves more than one hundred and six million people,

903
00:51:18,680 --> 00:51:21,560
Speaker 2: found the rate of mental health diagnosis fell flat in

904
00:51:21,600 --> 00:51:24,600
Speaker 2: twenty twenty among its members. The plateau of mental health

905
00:51:24,640 --> 00:51:28,600
Speaker 2: diagnoses in twenty twenty was surprising the researchers because diagnoses

906
00:51:29,760 --> 00:51:34,560
Speaker 2: hadn't been reliable, reliably increased, had been reliably increasing since

907
00:51:34,600 --> 00:51:37,240
Speaker 2: two thousand and two, and because of the clear challenges

908
00:51:37,239 --> 00:51:39,719
Speaker 2: brought on by the pandemic. This is just Americans haven't

909
00:51:39,760 --> 00:51:42,399
Speaker 2: been seeking out mental health care during the pandemic as

910
00:51:42,400 --> 00:51:43,720
Speaker 2: in years past.

911
00:51:44,640 --> 00:51:47,279
Speaker 3: Yeah, because everything tied to your insurance. So before I

912
00:51:47,880 --> 00:51:50,279
Speaker 3: had a job that had the insurance where I could

913
00:51:50,320 --> 00:51:53,320
Speaker 3: afford to go. Now without that job and my insurance

914
00:51:53,320 --> 00:51:55,680
Speaker 3: is tied to that job, that mean I can't fuck

915
00:51:55,719 --> 00:51:59,160
Speaker 3: over the you know, eighty one hundred whatever dollars per

916
00:51:59,239 --> 00:52:01,600
Speaker 3: session to go and see you. Like, I can't afford

917
00:52:01,640 --> 00:52:03,919
Speaker 3: that anymore, so I have to drop the sessions now.

918
00:52:04,080 --> 00:52:09,440
Speaker 2: What they found that was even more interesting was Americans

919
00:52:09,440 --> 00:52:11,880
Speaker 2: that are older were the biggest drop. That was the

920
00:52:12,000 --> 00:52:15,640
Speaker 2: drop twelve percent in the in diagnosis neurodegenitive diseases such

921
00:52:15,640 --> 00:52:19,200
Speaker 2: as Alzheimer's and nearly an eight percent drop in dementia diagnosis,

922
00:52:19,239 --> 00:52:22,920
Speaker 2: meaning what those might even be things you really need

923
00:52:22,960 --> 00:52:25,480
Speaker 2: to do with person, or you need people to help

924
00:52:26,080 --> 00:52:29,560
Speaker 2: someone go through that. And a lot of the stuff

925
00:52:29,600 --> 00:52:32,239
Speaker 2: with older people has just been like survival, right, it's

926
00:52:32,280 --> 00:52:34,719
Speaker 2: been you know, if you're in a home, it's just

927
00:52:34,800 --> 00:52:36,440
Speaker 2: how do we keep people away from you? We don't

928
00:52:36,440 --> 00:52:39,520
Speaker 2: want everybody dieing this home. If it's if it's your grandmama.

929
00:52:39,600 --> 00:52:42,160
Speaker 2: Can we even really go see grandma right now, because

930
00:52:42,320 --> 00:52:43,680
Speaker 2: you know, we might give her something.

931
00:52:43,920 --> 00:52:46,560
Speaker 3: Yeah. And also a lot of older people of a

932
00:52:46,560 --> 00:52:50,520
Speaker 3: certain age, some aren't, but a lot of them my mama,

933
00:52:50,560 --> 00:52:53,400
Speaker 3: they're not text heavy, Yeah, so they might not be.

934
00:52:53,560 --> 00:52:55,439
Speaker 3: They don't need my mama. Don't know what the fucking

935
00:52:55,480 --> 00:52:58,080
Speaker 3: internet is, So you can't get online if you don't

936
00:52:58,080 --> 00:52:59,080
Speaker 3: know what the internet is.

937
00:52:59,160 --> 00:53:01,759
Speaker 2: Well, that's what I'm saying is and can we go

938
00:53:01,800 --> 00:53:05,480
Speaker 2: see grandmama right now if we don't know if we're

939
00:53:05,520 --> 00:53:08,040
Speaker 2: going to give her something? So now the person that

940
00:53:08,120 --> 00:53:11,960
Speaker 2: might help you with teletherapy is not there, right, you

941
00:53:12,040 --> 00:53:14,400
Speaker 2: know what I mean? So that might explain it because

942
00:53:14,960 --> 00:53:18,600
Speaker 2: in young to middle age Americans the diagnosis did go

943
00:53:18,760 --> 00:53:22,840
Speaker 2: up so well, especially for anxiety and depressive disorders, because

944
00:53:22,880 --> 00:53:26,880
Speaker 2: that's obviously something that the pandemic has been driving a

945
00:53:26,880 --> 00:53:27,480
Speaker 2: lot of people.

946
00:53:27,800 --> 00:53:29,879
Speaker 3: Yeah, and like you said, this is the group that's

947
00:53:29,920 --> 00:53:31,319
Speaker 3: going to be a little bit more textive so they

948
00:53:31,360 --> 00:53:35,080
Speaker 3: can use the alternative things they don't require a face.

949
00:53:34,880 --> 00:53:39,160
Speaker 2: To face right. Oh yeah, this is the article I

950
00:53:39,160 --> 00:53:43,080
Speaker 2: was referenced earlier, What happens to anti masks after the

951
00:53:43,120 --> 00:53:48,560
Speaker 2: COVID nineteen pandemic. It was a global news Canada, I believe.

952
00:53:48,960 --> 00:53:52,080
Speaker 2: But basically they were saying that the anti maskers are

953
00:53:52,080 --> 00:53:56,120
Speaker 2: motivated by anger and that they're just gonna they're gonna

954
00:53:56,200 --> 00:54:00,400
Speaker 2: just reform around the next divisive issue. Oh yeah, they're not,

955
00:54:00,600 --> 00:54:02,759
Speaker 2: like there's not a plan. There's no. They don't actually

956
00:54:02,800 --> 00:54:04,680
Speaker 2: give a fuck about these masks any of that stuff.

957
00:54:05,160 --> 00:54:06,239
Speaker 3: It's nothing about the mask.

958
00:54:06,280 --> 00:54:11,799
Speaker 2: This is about anger, right, so sad shit really to think.

959
00:54:12,760 --> 00:54:14,279
Speaker 2: I don't know what the next thing gonna be, but

960
00:54:14,360 --> 00:54:16,799
Speaker 2: it's gonna you know, we're gonna be dealing with that shit.

961
00:54:18,760 --> 00:54:24,080
Speaker 2: Let's see what else do we have. Okay, we already

962
00:54:24,080 --> 00:54:29,480
Speaker 2: talked about the FDA authorizing pizer for kids twelve to fifteen.

963
00:54:30,000 --> 00:54:33,560
Speaker 3: I'm really excited now that right there, for me personally,

964
00:54:34,080 --> 00:54:37,360
Speaker 3: gives me a lot of hope. And I could truly

965
00:54:37,440 --> 00:54:44,240
Speaker 3: say that mentally, I am in a lot a better place,

966
00:54:44,719 --> 00:54:47,880
Speaker 3: you know, than I've been in the past. I think

967
00:54:48,719 --> 00:54:52,240
Speaker 3: once I got my shot, a lot of my anxiety

968
00:54:52,440 --> 00:54:57,719
Speaker 3: went down. I'm still vigilant, don't get me wrong, but

969
00:54:57,920 --> 00:54:59,920
Speaker 3: you know, prior to that, I was like, bitch, of

970
00:55:00,080 --> 00:55:01,640
Speaker 3: I get this shit. I could die, Like you know,

971
00:55:02,200 --> 00:55:07,279
Speaker 3: probability and all that stuff. It's it's not logical, but

972
00:55:07,360 --> 00:55:09,920
Speaker 3: in my mind, I'm like, hey, if I if it's

973
00:55:10,000 --> 00:55:13,400
Speaker 3: a possibility that I could die, So because the possibility

974
00:55:13,480 --> 00:55:16,080
Speaker 3: is there, I'm gonna try to make it fucking it's zero.

975
00:55:16,480 --> 00:55:18,200
Speaker 3: So no, I'm not going to see you. No, I'm

976
00:55:18,200 --> 00:55:19,880
Speaker 3: not going to where bitch. I don't want it. Like

977
00:55:19,920 --> 00:55:23,080
Speaker 3: I was very vigilant for that reason, because the wrong

978
00:55:23,160 --> 00:55:25,640
Speaker 3: time to find out this death knocking on your dough

979
00:55:25,760 --> 00:55:28,239
Speaker 3: is when you die. So I was like, you know,

980
00:55:29,680 --> 00:55:34,080
Speaker 3: for me, I was very very hardcore on that. Like

981
00:55:34,120 --> 00:55:38,120
Speaker 3: I said, uh I steal double mask. You know, I

982
00:55:38,160 --> 00:55:41,040
Speaker 3: still do certain things. Yes, I probably can calm down,

983
00:55:41,480 --> 00:55:43,640
Speaker 3: you know. Yes, I probably can do more things, and

984
00:55:44,040 --> 00:55:46,040
Speaker 3: it's a possibility that I will. But I know I

985
00:55:46,080 --> 00:55:48,040
Speaker 3: am one of them people that's gonna be really really

986
00:55:48,080 --> 00:55:51,040
Speaker 3: slow to going back to normal. I know I am.

987
00:55:51,080 --> 00:55:53,640
Speaker 3: It's like, okay, y'all go do that. We'll see what happened.

988
00:55:53,680 --> 00:55:55,200
Speaker 3: Y'all be beginn to pigs and let me know what

989
00:55:55,520 --> 00:55:56,799
Speaker 3: let me know what happens.

990
00:55:57,760 --> 00:56:02,799
Speaker 2: Uh India in India, the north, oh India's northeast. They

991
00:56:02,800 --> 00:56:05,480
Speaker 2: think they're going to have a huge surge in the

992
00:56:05,640 --> 00:56:09,520
Speaker 2: virus there because it's mostly been untouched because it's like

993
00:56:09,560 --> 00:56:12,959
Speaker 2: a rural area and it hasn't really had a lot

994
00:56:13,080 --> 00:56:18,280
Speaker 2: of outbreaks. But because it's getting so overwhelming now that's

995
00:56:18,320 --> 00:56:24,359
Speaker 2: like it's coming to this area and they've had a

996
00:56:24,400 --> 00:56:31,800
Speaker 2: bunch of like big political rallies, a bunch of religious gatherings,

997
00:56:32,400 --> 00:56:35,399
Speaker 2: and that area of the country they have a lot

998
00:56:35,560 --> 00:56:40,319
Speaker 2: less access to the healthcare system, so it's like all the.

999
00:56:41,239 --> 00:56:43,880
Speaker 3: So when it hits them, it's like something happens. Okay,

1000
00:56:43,920 --> 00:56:45,960
Speaker 3: now we've got to go thirty minutes away to get

1001
00:56:45,960 --> 00:56:46,520
Speaker 3: you some help.

1002
00:56:47,280 --> 00:56:52,719
Speaker 2: Yeah yeah, yeah, chartists. Yeah. But yeah, they're saying, like

1003
00:56:53,640 --> 00:57:00,760
Speaker 2: cases are already spiking in certain locations. Yeah, yeah, they said.

1004
00:57:03,200 --> 00:57:06,360
Speaker 2: Cases also started to spike in some remote Himalayan villages

1005
00:57:06,360 --> 00:57:10,760
Speaker 2: in the region. Nationwide, India's health industry reforded three hundred

1006
00:57:10,800 --> 00:57:13,680
Speaker 2: and sixty thousand new cases in the past twenty four

1007
00:57:13,719 --> 00:57:18,360
Speaker 2: hours woo one day, more than thirty seven hundred deaths.

1008
00:57:18,520 --> 00:57:21,200
Speaker 2: Since the pandemic began, India has seen more than twenty

1009
00:57:21,240 --> 00:57:24,320
Speaker 2: two point six million infections and more than two hundred

1010
00:57:24,360 --> 00:57:29,600
Speaker 2: and forty six thousand deaths. Both experts say almost certainly undercounts.

1011
00:57:30,120 --> 00:57:32,960
Speaker 3: I believe that. I do believe that because people are

1012
00:57:33,000 --> 00:57:35,080
Speaker 3: dying and they're labeling them as something else when it's

1013
00:57:35,120 --> 00:57:36,680
Speaker 3: actually coronavirus related.

1014
00:57:37,080 --> 00:57:40,120
Speaker 2: Not just that, but like bodies are washing up on

1015
00:57:40,160 --> 00:57:43,880
Speaker 2: the banks of the Ganges River. Oh no, bodies of

1016
00:57:43,880 --> 00:57:45,880
Speaker 2: at least forty people have washed up on the banks

1017
00:57:45,880 --> 00:57:48,760
Speaker 2: of the river in northern India. Yeah, and those are

1018
00:57:48,800 --> 00:57:52,640
Speaker 2: not people that you know, people think that might be

1019
00:57:52,640 --> 00:57:56,200
Speaker 2: COVID nineteen, but who's counting that, you know what I mean?

1020
00:57:57,040 --> 00:58:01,680
Speaker 3: Oh, so it could be something where they maybe just

1021
00:58:02,080 --> 00:58:05,240
Speaker 3: decided to drown themselves or maybe they We're.

1022
00:58:05,040 --> 00:58:07,120
Speaker 2: Not going to figure it out. We're not detectives, Karen.

1023
00:58:07,600 --> 00:58:12,680
Speaker 2: So all I'm saying is that's forty dead bodies. That's

1024
00:58:12,840 --> 00:58:16,840
Speaker 2: the problem is so big. They can't just do those

1025
00:58:16,880 --> 00:58:21,760
Speaker 2: even count right, because nobody what kind of what kind

1026
00:58:21,800 --> 00:58:25,160
Speaker 2: of work does it take to scientifically prove how those

1027
00:58:25,200 --> 00:58:27,800
Speaker 2: people died? And how long does that take?

1028
00:58:28,400 --> 00:58:28,680
Speaker 3: You know?

1029
00:58:29,120 --> 00:58:32,240
Speaker 2: How often is that people have been talking about burning

1030
00:58:32,280 --> 00:58:33,960
Speaker 2: bodies on the banks of the river and.

1031
00:58:33,920 --> 00:58:35,680
Speaker 3: Shit like, right, and these are just the ones that

1032
00:58:35,840 --> 00:58:36,280
Speaker 3: washed up.

1033
00:58:36,440 --> 00:58:41,280
Speaker 2: So yeah, So that's why people say it's definitely undercounted,

1034
00:58:41,320 --> 00:58:44,200
Speaker 2: because you can't keep up with these numbers. You know,

1035
00:58:44,360 --> 00:58:46,960
Speaker 2: it's so wild because like when you think of the

1036
00:58:47,080 --> 00:58:51,400
Speaker 2: anti maskers, anti vaxxers and vaccine hesitant people and shit

1037
00:58:51,520 --> 00:58:55,080
Speaker 2: like that, it's like, do y'all look at Indian things?

1038
00:58:55,080 --> 00:58:57,240
Speaker 2: This is just random, like, oh, it happens all the time,

1039
00:58:58,160 --> 00:59:00,640
Speaker 2: like this amount of death and you're still somewhere like

1040
00:59:00,760 --> 00:59:02,200
Speaker 2: I don't know, man, Yeah.

1041
00:59:02,040 --> 00:59:05,560
Speaker 3: And I'm not judging because we was the one busting

1042
00:59:05,560 --> 00:59:07,360
Speaker 3: the numbers not too long ago, So who is we

1043
00:59:07,440 --> 00:59:08,160
Speaker 3: the judge.

1044
00:59:08,280 --> 00:59:11,640
Speaker 2: It's not about a judgment, it's I'm questioning the judgment

1045
00:59:11,680 --> 00:59:14,480
Speaker 2: of people that are like, fuck that vaccine, right, Fuck

1046
00:59:14,560 --> 00:59:17,479
Speaker 2: the coronavirus ain't real, It's a conspiracy. Is just the flu.

1047
00:59:18,080 --> 00:59:21,680
Speaker 2: My immune system will handle it. You don't see all

1048
00:59:21,720 --> 00:59:25,120
Speaker 2: these deaths, all this crisis just happening on the other

1049
00:59:25,160 --> 00:59:26,760
Speaker 2: side of Like, that's crazy to me.

1050
00:59:26,880 --> 00:59:27,840
Speaker 3: They don't care.

1051
00:59:28,680 --> 00:59:32,520
Speaker 2: Yeah, so, but yeah, they don't know. They said that

1052
00:59:34,160 --> 00:59:36,400
Speaker 2: the bodies may ended up as part of a cremating

1053
00:59:36,480 --> 00:59:40,320
Speaker 2: victims of coronavirus alongside the river, because that's what people

1054
00:59:40,360 --> 00:59:42,280
Speaker 2: have been doing, just cremating the bodies.

1055
00:59:42,720 --> 00:59:45,480
Speaker 3: Why right, And if you do that, nobody knows, nobody's

1056
00:59:45,560 --> 00:59:47,560
Speaker 3: keeping counting, like you know what I'm saying.

1057
00:59:47,400 --> 00:59:55,680
Speaker 2: Right, So, yeah, man, India's and dire straits, And yeah,

1058
00:59:55,680 --> 00:59:58,520
Speaker 2: I already told you about the religious ceremonies turning into

1059
00:59:58,520 --> 01:00:02,120
Speaker 2: super spreader events, which people continuing to do. Religion is

1060
01:00:02,160 --> 01:00:04,919
Speaker 2: just some wild shit man, Like it's the one place

1061
01:00:04,920 --> 01:00:07,160
Speaker 2: where people just allow you to be illogical and we

1062
01:00:07,200 --> 01:00:11,240
Speaker 2: gotta just oh hark, then you believe that shit. It's like, well,

1063
01:00:11,240 --> 01:00:14,200
Speaker 2: this is a pandemic. It really doesn't worship for God. Yep,

1064
01:00:14,320 --> 01:00:17,160
Speaker 2: well my God got me or whatever. It's like, all right,

1065
01:00:17,240 --> 01:00:21,480
Speaker 2: well that doesn't mean that you have to go massless

1066
01:00:21,480 --> 01:00:23,760
Speaker 2: and get on the bus and drive to Virginia together.

1067
01:00:24,600 --> 01:00:27,840
Speaker 2: God can have you in a mask, driving separately and

1068
01:00:27,960 --> 01:00:30,080
Speaker 2: social distancing. Why can't God do that right?

1069
01:00:30,080 --> 01:00:31,600
Speaker 3: Why? Why can't I meet you down?

1070
01:00:31,680 --> 01:00:33,600
Speaker 2: Why y'all make everything so tough for God? You know

1071
01:00:33,640 --> 01:00:37,880
Speaker 2: what I mean? Make it easy right. Analog cars might

1072
01:00:37,880 --> 01:00:42,240
Speaker 2: be making a comeback because those micro chips they've had

1073
01:00:42,240 --> 01:00:45,320
Speaker 2: a shortage of that have stopped the production of like

1074
01:00:45,360 --> 01:00:51,080
Speaker 2: the Dodge, Challenger, Chevy Tomorrow for Mustang. They seem the

1075
01:00:51,120 --> 01:00:52,840
Speaker 2: shortage seems to be going on and on and on,

1076
01:00:52,920 --> 01:00:54,680
Speaker 2: and they don't know what it's gonna end. They first

1077
01:00:54,760 --> 01:00:57,040
Speaker 2: it was like, oh, just be a month. A few months.

1078
01:00:57,480 --> 01:00:59,560
Speaker 2: Now it's looking like by the end of the years

1079
01:00:59,560 --> 01:01:02,520
Speaker 2: the net last is the latest estimate. Then some people

1080
01:01:02,520 --> 01:01:04,600
Speaker 2: are saying it won't be to early twenty twenty two.

1081
01:01:04,680 --> 01:01:08,400
Speaker 2: So now the manufacturers are like, what are we gonna do?

1082
01:01:08,800 --> 01:01:12,720
Speaker 2: Because we got people that got job that need to work.

1083
01:01:12,960 --> 01:01:15,760
Speaker 2: We have all this other material, we can make cars.

1084
01:01:16,000 --> 01:01:19,520
Speaker 2: So now they're thinking about turning going the old school

1085
01:01:19,560 --> 01:01:23,200
Speaker 2: route with the old cars, like no chips send them, No,

1086
01:01:25,000 --> 01:01:30,520
Speaker 2: what do you call that shit navigation system cars? Yeah,

1087
01:01:30,960 --> 01:01:33,439
Speaker 2: none in the smart like this old school you know.

1088
01:01:33,400 --> 01:01:36,240
Speaker 3: What it should cost the price to go down because

1089
01:01:36,240 --> 01:01:39,160
Speaker 3: truth be told, cars are getting to the point where

1090
01:01:39,160 --> 01:01:40,840
Speaker 3: a lot of people are priced out of the market

1091
01:01:40,920 --> 01:01:45,360
Speaker 3: for vehicles. Like they literally priced it where everybody want

1092
01:01:45,360 --> 01:01:47,600
Speaker 3: with these hybrids, you know, like what happened to the

1093
01:01:47,600 --> 01:01:49,280
Speaker 3: people that like, oh, I just want to call less

1094
01:01:49,280 --> 01:01:52,480
Speaker 3: than ten thousand, Like you know, everybody don't want to

1095
01:01:52,600 --> 01:01:56,200
Speaker 3: want no thirty thousand, pad four hundred, five hundred, six

1096
01:01:56,280 --> 01:01:58,280
Speaker 3: hundred dollars a month in the fucking car payment. Everybody

1097
01:01:58,280 --> 01:01:58,760
Speaker 3: don't want that.

1098
01:01:59,000 --> 01:02:03,320
Speaker 2: Well, you're very smart car And various students always they

1099
01:02:03,360 --> 01:02:09,120
Speaker 2: said the surge and vehicle technologies is partially because is

1100
01:02:09,160 --> 01:02:12,040
Speaker 2: partly responsible for the rapid inflation of car prices over

1101
01:02:12,040 --> 01:02:15,480
Speaker 2: the last several years. As Bloomberg points out, eighteen percent

1102
01:02:15,520 --> 01:02:18,080
Speaker 2: of a car's cost comes from on board electronics in

1103
01:02:18,080 --> 01:02:21,680
Speaker 2: two thousand and the year two thousand, eighteen percent. That

1104
01:02:21,760 --> 01:02:24,160
Speaker 2: must have only gone up in twenty twenty. The cost

1105
01:02:24,200 --> 01:02:28,120
Speaker 2: of electronic gismos and vehicles accounts for forty percent of

1106
01:02:28,160 --> 01:02:32,520
Speaker 2: the total cost productions are the prediction projections are that

1107
01:02:32,560 --> 01:02:36,360
Speaker 2: by twenty thirty it'll be forty five percent of the car.

1108
01:02:36,440 --> 01:02:39,760
Speaker 2: It is just the technology in the car. So some

1109
01:02:39,920 --> 01:02:42,920
Speaker 2: automakers have scaled back on text heavy features and their

1110
01:02:43,000 --> 01:02:46,439
Speaker 2: vehicles and to make the chip supply last longer, which

1111
01:02:46,520 --> 01:02:50,240
Speaker 2: kind of makes sense because like navigation you can do

1112
01:02:50,280 --> 01:02:54,840
Speaker 2: for your phone. General Motor says it will build some

1113
01:02:54,840 --> 01:02:57,600
Speaker 2: some twenty twenty one like duty full sized trucks without

1114
01:02:57,600 --> 01:03:01,200
Speaker 2: fuel management module, waiting for the RAM to make a

1115
01:03:01,240 --> 01:03:06,520
Speaker 2: similar announcement. RAM fifteen fifteen hundred trucks don't come with

1116
01:03:07,120 --> 01:03:10,320
Speaker 2: the fifteen hundred trucks don't come with standard digital Revy mirror.

1117
01:03:10,880 --> 01:03:14,720
Speaker 2: Porsche asks the optional eighteen way adjustable seat for the

1118
01:03:14,760 --> 01:03:19,320
Speaker 2: Macan SUV Poogia pujol. I'm not rich enough to know

1119
01:03:19,360 --> 01:03:21,920
Speaker 2: how to pronounce that has dropped the all digital gauge

1120
01:03:21,960 --> 01:03:25,000
Speaker 2: cluster in one of its new cars, going with analog

1121
01:03:25,040 --> 01:03:30,160
Speaker 2: gauges instead, So yeah, I get it. Like, and maybe

1122
01:03:30,200 --> 01:03:32,400
Speaker 2: they're so help people too, because like you said, cars

1123
01:03:32,400 --> 01:03:33,560
Speaker 2: are so expensive now.

1124
01:03:33,640 --> 01:03:37,760
Speaker 3: Yes, like like literally, if you're like me, when I

1125
01:03:37,840 --> 01:03:40,840
Speaker 3: when when my mom was looking for me a car

1126
01:03:40,880 --> 01:03:44,040
Speaker 3: when I got out of was getting ready to graduate.

1127
01:03:44,200 --> 01:03:45,960
Speaker 3: I was like, not graduate when I was sixteen. She

1128
01:03:46,040 --> 01:03:50,240
Speaker 3: was like, what kind of car you on? I was like, look, gas, heat, air,

1129
01:03:50,920 --> 01:03:55,440
Speaker 3: electronic up and down windows, and like those are the

1130
01:03:55,560 --> 01:03:58,160
Speaker 3: standards and people that you know. Other than that, I

1131
01:03:58,240 --> 01:04:00,640
Speaker 3: just want to roll, like you know, and I understand,

1132
01:04:00,680 --> 01:04:03,520
Speaker 3: you know, everybody isn't that simple, but you know there

1133
01:04:03,560 --> 01:04:05,320
Speaker 3: are some people where there like, look, bitch, I just

1134
01:04:05,360 --> 01:04:07,200
Speaker 3: need a car to and fro. I don't need all

1135
01:04:07,200 --> 01:04:08,520
Speaker 3: these fancy ass features.

1136
01:04:08,800 --> 01:04:11,480
Speaker 2: Yeah. I remember my parents wanted to municate my first car.

1137
01:04:11,680 --> 01:04:13,120
Speaker 2: Is like, what do you want? And I was like

1138
01:04:13,240 --> 01:04:17,400
Speaker 2: an Optimist Prime big Rig and they got me your

1139
01:04:17,480 --> 01:04:18,280
Speaker 2: used hont.

1140
01:04:18,080 --> 01:04:20,800
Speaker 3: A coord That sounds about right, sir, because ain't nobody

1141
01:04:20,840 --> 01:04:22,240
Speaker 3: getting no Optimist Prime big Rig.

1142
01:04:23,240 --> 01:04:26,680
Speaker 2: And lastly, Fizer apparently it is the hot person vaccine

1143
01:04:27,040 --> 01:04:30,880
Speaker 2: because motherfuckers on TikTok have made it some sort of

1144
01:04:32,800 --> 01:04:36,200
Speaker 2: like the cool vaccine. They've been ranking the vaccines and.

1145
01:04:38,360 --> 01:04:41,000
Speaker 3: Just ranking them. Shit, they all do the same thing.

1146
01:04:41,200 --> 01:04:42,720
Speaker 3: You don't get the coronavirus.

1147
01:04:44,560 --> 01:04:47,400
Speaker 2: Yeah, the Internet has decided that fires are significantly cool

1148
01:04:47,400 --> 01:04:49,920
Speaker 2: with them a darner. But why that was in the

1149
01:04:50,200 --> 01:04:54,400
Speaker 2: Atlantic they wrote that, and yeah, they said, people on

1150
01:04:54,560 --> 01:04:57,840
Speaker 2: TikTok are ranking the vaccines according to the cool factor.

1151
01:05:03,120 --> 01:05:06,320
Speaker 2: Oh boy, oh boy, I think Fazo.

1152
01:05:06,040 --> 01:05:08,480
Speaker 3: Is the one now, so it's like a designer shot.

1153
01:05:09,840 --> 01:05:13,600
Speaker 2: Yeah, yeah, yeah, this is stupid because you really can't

1154
01:05:14,280 --> 01:05:16,440
Speaker 2: dictate which one you got. For a lot of people, you.

1155
01:05:16,480 --> 01:05:18,680
Speaker 3: Just got them just show up and they like, this

1156
01:05:18,720 --> 01:05:19,600
Speaker 3: is the shot you're getting.

1157
01:05:20,240 --> 01:05:24,840
Speaker 2: According to TikTok verse, anyone who gets that other mRNA vaccine,

1158
01:05:24,880 --> 01:05:27,320
Speaker 2: which where the record is comparable in almost every way,

1159
01:05:27,640 --> 01:05:29,400
Speaker 2: is a peasant. And they were the last fans that

1160
01:05:29,440 --> 01:05:32,840
Speaker 2: Dolly Parton have claimed to follow her preference for Maderna.

1161
01:05:32,960 --> 01:05:36,160
Speaker 2: But in general, according to the Atlantic article, the other

1162
01:05:36,240 --> 01:05:39,080
Speaker 2: vaccines trend behind in their preference by the social media

1163
01:05:39,120 --> 01:05:40,440
Speaker 2: cloud crowd.

1164
01:05:41,280 --> 01:05:43,720
Speaker 3: M M, so so what they going? This is the

1165
01:05:44,080 --> 01:05:48,560
Speaker 3: Apple versus Google, the PlayStation versus Xbox. And now we're

1166
01:05:48,600 --> 01:05:51,960
Speaker 3: gonna be like that. Vaccinas argue by any goddamn thing.

1167
01:05:51,800 --> 01:05:53,960
Speaker 2: But honestly, whatever gets them to get it, if that,

1168
01:05:54,080 --> 01:05:56,560
Speaker 2: if the if this stupid ship doesn't convince you to

1169
01:05:56,600 --> 01:05:59,160
Speaker 2: get it, to flex, Okay, get the shot, go ahead,

1170
01:05:59,160 --> 01:05:59,760
Speaker 2: just get your shot.

1171
01:06:00,120 --> 01:06:00,600
Speaker 3: Motherfucker.

1172
01:06:00,920 --> 01:06:02,120
Speaker 2: I really don't give a fuck.

1173
01:06:02,520 --> 01:06:03,000
Speaker 3: Get it.

1174
01:06:04,600 --> 01:06:07,360
Speaker 2: All right, let's get into some other news. All kinds

1175
01:06:07,360 --> 01:06:12,560
Speaker 2: of stuff is happening. Uh, let's see here. Where do

1176
01:06:12,640 --> 01:06:19,720
Speaker 2: I want to go? Peloton recalls treadmills hot cells after

1177
01:06:19,720 --> 01:06:20,680
Speaker 2: a child dies.

1178
01:06:22,000 --> 01:06:25,200
Speaker 3: Mm hmmm. I heard that. I heard something about I

1179
01:06:25,240 --> 01:06:27,680
Speaker 3: don't know how it does it, but they were saying

1180
01:06:27,720 --> 01:06:31,720
Speaker 3: that it's supposed to be like a feature that prevents

1181
01:06:31,720 --> 01:06:34,680
Speaker 3: a child from like going up, like rolling up underneath it,

1182
01:06:34,760 --> 01:06:36,040
Speaker 3: and it wasn't there.

1183
01:06:36,680 --> 01:06:40,240
Speaker 2: Yeah, one child died and twenty nine other people got injured.

1184
01:06:41,760 --> 01:06:44,880
Speaker 2: They giving full refunds the tradmills, which costs more than

1185
01:06:44,880 --> 01:06:46,360
Speaker 2: forty two hundred dollars.

1186
01:06:46,720 --> 01:06:50,480
Speaker 3: Yeay what what? Yeah?

1187
01:06:50,520 --> 01:06:52,040
Speaker 2: I know you got over up a line of credit

1188
01:06:52,080 --> 01:06:52,560
Speaker 2: for that shit.

1189
01:06:54,480 --> 01:06:56,320
Speaker 3: Man. I've been looking at them and every time I

1190
01:06:56,360 --> 01:06:57,479
Speaker 3: was like them, bitches this high.

1191
01:06:57,520 --> 01:06:59,960
Speaker 2: It's that people with children and pet should immediately stop

1192
01:07:00,160 --> 01:07:04,680
Speaker 2: using the treadmill and the trade plus traadmill after the

1193
01:07:04,760 --> 01:07:06,560
Speaker 2: child was pulled under it and died. At the time,

1194
01:07:06,640 --> 01:07:09,720
Speaker 2: Pelo Time pushed back against the Safety Commission, who had

1195
01:07:09,760 --> 01:07:13,080
Speaker 2: warned that April seventeen people shouldn't do it. They pushed

1196
01:07:13,120 --> 01:07:14,880
Speaker 2: back and said it was an acur and the misleading,

1197
01:07:16,120 --> 01:07:18,120
Speaker 2: and now the CEO is taking that back and said

1198
01:07:18,120 --> 01:07:19,120
Speaker 2: they should acted sooner.

1199
01:07:20,320 --> 01:07:23,200
Speaker 3: Yeah, it was a safety feature that they did not have,

1200
01:07:23,280 --> 01:07:26,600
Speaker 3: which who knows if they wanted to be cool or not,

1201
01:07:26,800 --> 01:07:28,960
Speaker 3: but it's the feature that should have been there that

1202
01:07:28,960 --> 01:07:29,720
Speaker 3: would have prevented this.

1203
01:07:30,600 --> 01:07:31,400
Speaker 2: Yeah, that's sad.

1204
01:07:31,480 --> 01:07:33,840
Speaker 3: The standard probably on all treadmills.

1205
01:07:35,520 --> 01:07:38,000
Speaker 2: Yeah, that's sad. I don't know how what specifically is

1206
01:07:38,000 --> 01:07:46,120
Speaker 2: happening about this treadmill, but yeah, that's super sad. I mean,

1207
01:07:46,200 --> 01:07:46,600
Speaker 2: do you.

1208
01:07:46,480 --> 01:07:48,640
Speaker 3: Get another version? Did you get your money back? Like?

1209
01:07:48,960 --> 01:07:51,640
Speaker 2: I mean, I think you get your money back. That's

1210
01:07:51,680 --> 01:07:54,400
Speaker 2: what I just said, full refine. Ah, okay, so you

1211
01:07:54,440 --> 01:07:57,800
Speaker 2: can go get somebody else's trademill that don't kill babies.

1212
01:07:58,720 --> 01:08:03,000
Speaker 2: That's truth. It's not a baby, all right. Disney's new

1213
01:08:03,040 --> 01:08:08,040
Speaker 2: snow White ride draws consent backlash over problematic sleeping kiss.

1214
01:08:11,840 --> 01:08:15,120
Speaker 2: Disneyland's the latest battleground in the cancel culture war after

1215
01:08:15,200 --> 01:08:19,000
Speaker 2: a new ride was deemed problematic over Prince Charming kissing

1216
01:08:19,040 --> 01:08:23,040
Speaker 2: snow White without consent. The California theme park reopened after

1217
01:08:23,160 --> 01:08:26,800
Speaker 2: pandemic lockdowns in the revamped snow White and chanted Wish

1218
01:08:26,880 --> 01:08:31,080
Speaker 2: ride featuring the animatronic recreation of the fabled Smooch. In

1219
01:08:31,160 --> 01:08:33,320
Speaker 2: a review of the new ride from San Francisco gate

1220
01:08:33,360 --> 01:08:36,920
Speaker 2: dot Com, The Outlets managing editor Katie Dowdon contributed, Julie

1221
01:08:37,000 --> 01:08:39,880
Speaker 2: Tremaine wrote that the kiss should be removed, like other

1222
01:08:39,920 --> 01:08:43,040
Speaker 2: problematic scenes from rides like Jungle Cruise or Splash Mountain.

1223
01:08:43,880 --> 01:08:46,840
Speaker 2: Haven't we already agreed that consent in early Disney movies

1224
01:08:46,920 --> 01:08:50,000
Speaker 2: is a major issue that teaching kids that kissing when

1225
01:08:50,040 --> 01:08:53,280
Speaker 2: it hasn't been established, if both parties are willing to engage,

1226
01:08:53,280 --> 01:08:56,519
Speaker 2: it's not okay. They wrote, It's hard to understand why

1227
01:08:56,520 --> 01:08:58,920
Speaker 2: the Disneyland of twenty twenty one would choose to add

1228
01:08:58,960 --> 01:09:02,080
Speaker 2: a scene was such old fashioned ideas a matter of

1229
01:09:02,120 --> 01:09:04,160
Speaker 2: what a man is allowed to do to a woman?

1230
01:09:05,200 --> 01:09:08,760
Speaker 2: Uh yeah. Disney announced earlier this year where redesigned the

1231
01:09:08,840 --> 01:09:11,960
Speaker 2: Jungle Cruise to replace Trader Sam character salesman of Shrunken

1232
01:09:12,000 --> 01:09:16,360
Speaker 2: Heads Splash Mountain. Meanwhile, I was being overhauled to remove stereotypes.

1233
01:09:16,760 --> 01:09:23,800
Speaker 2: The company has not been contact contacted for comment, So

1234
01:09:23,880 --> 01:09:26,800
Speaker 2: I guess that's the thing. And then I guess some

1235
01:09:26,800 --> 01:09:31,080
Speaker 2: people didn't like that they said this, So for those

1236
01:09:31,080 --> 01:09:32,960
Speaker 2: two people who wrote that story. If you're ill, if

1237
01:09:33,000 --> 01:09:35,439
Speaker 2: somebody needs a form CPR on you, are you going

1238
01:09:35,520 --> 01:09:38,280
Speaker 2: to get upset about consent? No, you're gonna have an option.

1239
01:09:38,479 --> 01:09:40,479
Speaker 2: You're not. You're not gonna have an option in that matter.

1240
01:09:41,600 --> 01:09:43,640
Speaker 2: And I don't think anybody's looking at Prince John mc

1241
01:09:43,680 --> 01:09:46,560
Speaker 2: kissing snow White and saying, boy, that's a microcosm of

1242
01:09:46,640 --> 01:09:48,960
Speaker 2: date rape culture in college. I'm not saying date rape

1243
01:09:49,000 --> 01:09:50,960
Speaker 2: culture in college is a positive thing. I have a

1244
01:09:50,960 --> 01:09:53,599
Speaker 2: little daughter right upstairs here in my home. Absolutely don't

1245
01:09:53,600 --> 01:09:58,320
Speaker 2: want that. But let's just this. Desegregate this. This is

1246
01:09:58,360 --> 01:10:02,160
Speaker 2: a cartoon, This is a fable for many, many years.

1247
01:10:02,200 --> 01:10:05,240
Speaker 2: It is not what we all fear as dads of daughters.

1248
01:10:08,280 --> 01:10:16,320
Speaker 2: Hmmm uh yeah. The writers responded that they do understand

1249
01:10:16,360 --> 01:10:23,120
Speaker 2: it's not real life. You know, they're not stupid, So yeah,

1250
01:10:23,640 --> 01:10:27,040
Speaker 2: I mean, to me, I think they I don't know

1251
01:10:27,080 --> 01:10:29,560
Speaker 2: why they wouldn't take it out just because it was

1252
01:10:29,680 --> 01:10:32,479
Speaker 2: not that big a deal to me. But maybe I

1253
01:10:32,520 --> 01:10:37,280
Speaker 2: don't really give a fuck about this shit. But to

1254
01:10:37,320 --> 01:10:41,800
Speaker 2: say all that, but like, why not just do it

1255
01:10:41,880 --> 01:10:45,240
Speaker 2: something different, you know what I mean? Or just like

1256
01:10:45,360 --> 01:10:47,920
Speaker 2: depict it differently? Then they do that ship with racist

1257
01:10:47,920 --> 01:10:49,960
Speaker 2: shit all the time. I mean, this does seem to

1258
01:10:49,960 --> 01:10:53,920
Speaker 2: be a gender issue of consent issue, even if it's

1259
01:10:54,000 --> 01:10:56,080
Speaker 2: kind of a stretch, you know. I think people do

1260
01:10:56,160 --> 01:11:00,280
Speaker 2: stretch stuff now and stuff stuff that we just kind

1261
01:11:00,280 --> 01:11:02,160
Speaker 2: of either didn't think about or didn't really care that

1262
01:11:02,240 --> 01:11:05,360
Speaker 2: much about in the past. I don't think. I don't

1263
01:11:05,400 --> 01:11:07,799
Speaker 2: think this is gonna teach a kid to be a rapist,

1264
01:11:08,040 --> 01:11:10,120
Speaker 2: So I do want to say that I don't think

1265
01:11:10,160 --> 01:11:13,240
Speaker 2: it's like I think that obviously is taking it a

1266
01:11:13,320 --> 01:11:15,559
Speaker 2: bit too far. But I can see why people might

1267
01:11:15,560 --> 01:11:20,960
Speaker 2: find and shit old fashioned, dated, insensitive or whatever, And

1268
01:11:21,600 --> 01:11:23,400
Speaker 2: couldn't you just change it to like, I don't know,

1269
01:11:23,479 --> 01:11:29,719
Speaker 2: kiss on the hand or something like, you know, something else,

1270
01:11:30,000 --> 01:11:32,679
Speaker 2: Like I could see something like that happening or whatever,

1271
01:11:32,800 --> 01:11:35,559
Speaker 2: change the story a little bit to something that motherfuckers

1272
01:11:35,600 --> 01:11:39,439
Speaker 2: just wouldn't be too mad about, because who gives a fuck, right.

1273
01:11:40,120 --> 01:11:42,439
Speaker 3: This is not something that I would have wrote in about.

1274
01:11:42,560 --> 01:11:45,760
Speaker 3: I understand their perspective.

1275
01:11:49,400 --> 01:11:52,439
Speaker 2: Yeah, Like, if I saw it, I wouldn't have been like, like,

1276
01:11:52,479 --> 01:11:54,400
Speaker 2: if I was taking that ride and I saw the

1277
01:11:54,439 --> 01:11:57,800
Speaker 2: animatronic kiss, I wouldn't be like, oh my god, I

1278
01:11:57,840 --> 01:12:00,400
Speaker 2: can't believe that do you have ruined my trip? So

1279
01:12:00,439 --> 01:12:03,479
Speaker 2: I don't think that's necessarily how most people are gonna

1280
01:12:03,520 --> 01:12:08,639
Speaker 2: take it. That being said, if I understand that argument

1281
01:12:09,800 --> 01:12:13,080
Speaker 2: of the non consentual, she was passed out. I think

1282
01:12:13,120 --> 01:12:15,960
Speaker 2: the other thing that the reason that most people won't

1283
01:12:16,000 --> 01:12:18,320
Speaker 2: be offended by is just the optical part of it.

1284
01:12:18,520 --> 01:12:20,519
Speaker 2: When you watch it. It's not like he tongues her

1285
01:12:20,600 --> 01:12:24,920
Speaker 2: down or it's some type of perverted whatever. It's like

1286
01:12:24,960 --> 01:12:29,599
Speaker 2: a sweet kiss or some shit. So I don't know.

1287
01:12:29,880 --> 01:12:32,160
Speaker 2: Maybe if it was a kiss on the forehead, I

1288
01:12:32,200 --> 01:12:34,160
Speaker 2: don't I don't know. I don't know why I brought

1289
01:12:34,160 --> 01:12:36,080
Speaker 2: this up. I don't actually give a fuck how they

1290
01:12:36,120 --> 01:12:40,280
Speaker 2: fix this. You do not, So I mean, it's like

1291
01:12:40,280 --> 01:12:42,240
Speaker 2: it's that thing where like if they leave it like this,

1292
01:12:42,400 --> 01:12:44,439
Speaker 2: it won't really change much. If they change it, it

1293
01:12:44,479 --> 01:12:47,880
Speaker 2: won't really change much. It's not like some motherfucker on

1294
01:12:47,920 --> 01:12:52,000
Speaker 2: college campus is going, you know, I'll be date raping people.

1295
01:12:52,040 --> 01:12:57,839
Speaker 2: But I saw they changed the ride, and I realized

1296
01:12:57,840 --> 01:13:02,800
Speaker 2: at this point, I'm putting the roofies away. I think

1297
01:13:02,800 --> 01:13:06,120
Speaker 2: people do. I think people kind of like obsessed about

1298
01:13:06,160 --> 01:13:08,679
Speaker 2: this kind of shit to an f degree in theory.

1299
01:13:08,760 --> 01:13:12,240
Speaker 2: But the practical solutions of it isn't gonna change shit.

1300
01:13:12,400 --> 01:13:14,960
Speaker 2: So I would just give it to him because I

1301
01:13:15,000 --> 01:13:18,240
Speaker 2: don't give a fuck, Like if I was Disney, I'll

1302
01:13:18,280 --> 01:13:21,080
Speaker 2: be like, Okay, what do y'all want? Instead? What would

1303
01:13:21,120 --> 01:13:22,519
Speaker 2: y'all like? You know?

1304
01:13:22,680 --> 01:13:24,640
Speaker 3: Because the other people don't give a fucking just like

1305
01:13:24,680 --> 01:13:26,400
Speaker 3: they didn't probably know the kiss. I ain't gonna know

1306
01:13:26,520 --> 01:13:27,040
Speaker 3: this bullshit.

1307
01:13:27,479 --> 01:13:30,240
Speaker 2: Like if I remade this movie today, I would just

1308
01:13:30,360 --> 01:13:34,200
Speaker 2: make this a gag. I do something funny, like the

1309
01:13:34,280 --> 01:13:37,840
Speaker 2: prince is becomes a fucking he goes into a lab

1310
01:13:37,880 --> 01:13:41,080
Speaker 2: and makes a potion to fix this, or makes a

1311
01:13:41,120 --> 01:13:44,400
Speaker 2: formula to fix this, or something like. It's something completely

1312
01:13:44,439 --> 01:13:47,679
Speaker 2: ridiculous and not romantic at all, but we can just laugh,

1313
01:13:47,800 --> 01:13:50,679
Speaker 2: like because part of the joke is, oh, remember before

1314
01:13:50,720 --> 01:13:54,800
Speaker 2: it was a kiss and now it's this thing. You

1315
01:13:54,840 --> 01:13:57,160
Speaker 2: know what I mean? I don't know. I just switch it,

1316
01:13:57,200 --> 01:14:00,880
Speaker 2: but uh, that what make me Peo man wouldn't have

1317
01:14:00,880 --> 01:14:03,080
Speaker 2: as much of a conversation, So I get it agreed,

1318
01:14:05,479 --> 01:14:12,040
Speaker 2: Let's see, Uh what else I wanna talk about. Trey

1319
01:14:12,120 --> 01:14:14,880
Speaker 2: Song has been sued for allegedly punching a bartend in

1320
01:14:14,960 --> 01:14:20,559
Speaker 2: the head of a concert. Oh no, what could have

1321
01:14:20,600 --> 01:14:26,320
Speaker 2: gone wrong. I mean, somebody must have tried to, uh

1322
01:14:27,360 --> 01:14:28,280
Speaker 2: try to cut him off.

1323
01:14:28,600 --> 01:14:30,320
Speaker 3: Come, yeah they did.

1324
01:14:31,200 --> 01:14:35,120
Speaker 2: Somebody else somebody must have tried to get him out

1325
01:14:35,120 --> 01:14:35,320
Speaker 2: of the.

1326
01:14:35,520 --> 01:14:37,519
Speaker 3: Yeah they did, and he was not having it.

1327
01:14:39,240 --> 01:15:10,959
Speaker 6: Niga cut me off. I'm going to.

1328
01:15:00,120 --> 01:15:02,960
Speaker 2: Yeah, someone must try to cut him off some of that.

1329
01:15:03,000 --> 01:15:04,720
Speaker 3: I here going around in circles with him.

1330
01:15:05,200 --> 01:15:11,240
Speaker 2: Mm hmm, he'll s's TLZ before. It's that Trade Songs

1331
01:15:11,280 --> 01:15:13,599
Speaker 2: is being sued for battery for incident. It took place

1332
01:15:13,720 --> 01:15:17,240
Speaker 2: May ninth, twenty nineteen, and Holly damn it's old two

1333
01:15:17,280 --> 01:15:21,799
Speaker 2: years ago and Hollywood Palladium. Trade Songs was not performing

1334
01:15:21,840 --> 01:15:24,479
Speaker 2: that night. Instead, he just attended a Cardi b concert.

1335
01:15:25,320 --> 01:15:26,960
Speaker 2: It don't I guess he go to the Chiefs game,

1336
01:15:26,960 --> 01:15:28,880
Speaker 2: he get in the fight, go to the concert, getting

1337
01:15:28,880 --> 01:15:32,960
Speaker 2: the fight. It's wild. Uh yeah. The singer hopped up

1338
01:15:33,200 --> 01:15:35,360
Speaker 2: to sit on the bar during the show, which is

1339
01:15:35,360 --> 01:15:38,720
Speaker 2: against venue policy. The bartender alleged Trade ignored him when

1340
01:15:38,760 --> 01:15:40,640
Speaker 2: he asked him to get down, so he put his

1341
01:15:40,680 --> 01:15:42,680
Speaker 2: hands on the singer's back to get his attention. That's

1342
01:15:42,680 --> 01:15:44,719
Speaker 2: when Tredy Songs attacked them, punching him in the head.

1343
01:15:45,000 --> 01:15:49,280
Speaker 2: The bartender's seeking unspecified damn just claiming. Uh, he said,

1344
01:15:49,320 --> 01:15:53,160
Speaker 2: a physical and emotion Yeah, psychological all the pains. The

1345
01:15:53,160 --> 01:15:55,759
Speaker 2: plarian nigga hit me. I definitely got some psychological trauma

1346
01:15:55,760 --> 01:15:57,080
Speaker 2: attached to it. Just let y'all know.

1347
01:15:57,200 --> 01:15:59,240
Speaker 3: Come on, he you know, he t t touched him

1348
01:15:59,240 --> 01:16:00,320
Speaker 3: on the shoulder all of a sudden, you got a

1349
01:16:00,320 --> 01:16:00,840
Speaker 3: heart attack.

1350
01:16:01,160 --> 01:16:03,040
Speaker 2: Yeah, you're rich and you hit me. Just I'm just

1351
01:16:03,120 --> 01:16:04,760
Speaker 2: letting you know before you even do it, I got

1352
01:16:04,800 --> 01:16:08,400
Speaker 2: a psychological emotional timor that that event will create.

1353
01:16:08,800 --> 01:16:11,040
Speaker 3: Yeah, he didn't realize this was gonna put the bottoms up.

1354
01:16:11,920 --> 01:16:14,720
Speaker 2: Mm hmmm. As much as people call the police on him,

1355
01:16:14,720 --> 01:16:17,160
Speaker 2: I bet the neighbors know his name. Is that one

1356
01:16:17,160 --> 01:16:18,240
Speaker 2: o them? Did I do it right?

1357
01:16:24,720 --> 01:16:25,280
Speaker 3: Oh?

1358
01:16:25,360 --> 01:16:34,479
Speaker 2: Man, I think he invented getting arrested. A lawyer for

1359
01:16:34,520 --> 01:16:36,840
Speaker 2: a Capitol rider, says Fox News made on store in

1360
01:16:36,880 --> 01:16:37,360
Speaker 2: the Capitol.

1361
01:16:40,040 --> 01:16:40,240
Speaker 3: Yeah.

1362
01:16:40,479 --> 01:16:43,720
Speaker 2: January sixth was fellow Trump supporters been watching too much

1363
01:16:43,720 --> 01:16:49,200
Speaker 2: Fox News and he said, whoops, my bad. For the

1364
01:16:49,240 --> 01:16:53,840
Speaker 2: next approximate six months, Fox television played constantly, Antonio became

1365
01:16:53,880 --> 01:16:56,960
Speaker 2: hooked with what I call fox sitis or fox mania,

1366
01:16:57,280 --> 01:16:59,080
Speaker 2: the foxitist fox itis.

1367
01:17:00,000 --> 01:17:01,200
Speaker 3: I got a word for it now.

1368
01:17:01,720 --> 01:17:04,200
Speaker 2: I told y'all, and I will continue to say this.

1369
01:17:04,560 --> 01:17:08,000
Speaker 2: You know, God blessed, rest, blessed Dad mid with Charles

1370
01:17:08,000 --> 01:17:11,439
Speaker 2: rest in peace. But like I told Midway man, I

1371
01:17:11,520 --> 01:17:16,200
Speaker 2: think I can be a lawyer for a guilty motherfucker.

1372
01:17:18,080 --> 01:17:21,840
Speaker 2: They going to jail anyway. I'm not sure you need

1373
01:17:21,880 --> 01:17:26,599
Speaker 2: a law degree to come up with foxitis or fox mania.

1374
01:17:27,720 --> 01:17:30,360
Speaker 2: I don't feel like he looked up no statues, there's

1375
01:17:30,400 --> 01:17:34,240
Speaker 2: no intern that found the case law. He just was like,

1376
01:17:34,360 --> 01:17:36,479
Speaker 2: fuck it, I'm going to court. Like I feel like

1377
01:17:36,560 --> 01:17:40,080
Speaker 2: he ordered a breakfast Saldwich that morning. He said, I

1378
01:17:40,120 --> 01:17:44,360
Speaker 2: haven't even looked at this case. And on his way

1379
01:17:44,760 --> 01:17:46,840
Speaker 2: out of the car in the parking lot was when

1380
01:17:46,840 --> 01:17:51,280
Speaker 2: he came up with fox itis, Like that's not the

1381
01:17:51,320 --> 01:17:53,559
Speaker 2: results on hundreds of our man and me charge he

1382
01:17:53,560 --> 01:17:56,479
Speaker 2: built this man how many hours and then came up

1383
01:17:56,520 --> 01:17:59,400
Speaker 2: with fox ititis. That's the best he got. That's the

1384
01:17:59,439 --> 01:18:02,639
Speaker 2: best he got fox idists or fox mania, and became

1385
01:18:02,760 --> 01:18:05,920
Speaker 2: interested in political aspect and started believing what was being

1386
01:18:05,960 --> 01:18:10,040
Speaker 2: fed to him. You said, Tonio thought he was serving

1387
01:18:10,040 --> 01:18:11,960
Speaker 2: his country by storming the capitol. It feels that the

1388
01:18:11,960 --> 01:18:14,559
Speaker 2: court should turn their attention to the bad protesters first

1389
01:18:15,880 --> 01:18:16,320
Speaker 2: is bad.

1390
01:18:18,120 --> 01:18:18,280
Speaker 3: Right.

1391
01:18:18,360 --> 01:18:20,960
Speaker 2: They can all make the Fox argument. We all know

1392
01:18:21,000 --> 01:18:24,000
Speaker 2: they TV got the Fox logo blazed on the just

1393
01:18:24,000 --> 01:18:28,320
Speaker 2: burned into the embedded into the elk took to the screen.

1394
01:18:28,439 --> 01:18:31,080
Speaker 3: Yeah, you know that TV's like three generations old because

1395
01:18:31,120 --> 01:18:33,280
Speaker 3: all them like old people, right.

1396
01:18:33,320 --> 01:18:35,240
Speaker 2: I just know that when you leave it on Fox

1397
01:18:35,240 --> 01:18:37,120
Speaker 2: for so long, they say it could get burned into

1398
01:18:37,160 --> 01:18:40,160
Speaker 2: your screen. That's what they got, That shit burned into

1399
01:18:40,240 --> 01:18:42,000
Speaker 2: their motherfucking screen when you turn it off.

1400
01:18:42,080 --> 01:18:44,120
Speaker 3: Yeah, that's why your mom's like, you ain't playing no Intendo.

1401
01:18:44,160 --> 01:18:45,679
Speaker 3: Ain't nothing gonna burn into my screen?

1402
01:18:46,240 --> 01:18:51,360
Speaker 2: Yup? What a dumb ass defense cyber attack on critical

1403
01:18:51,360 --> 01:18:55,120
Speaker 2: pipeline freezer deliveries to the US East Coast. Yeah, man,

1404
01:18:55,479 --> 01:18:58,680
Speaker 2: the somebody cyber attacked the motherfucker oil in this motherfucker

1405
01:18:58,680 --> 01:19:03,519
Speaker 2: on the East Coast shut it down on Friday. It

1406
01:19:03,560 --> 01:19:07,760
Speaker 2: was like the IT system all fucked up. And they

1407
01:19:07,840 --> 01:19:11,280
Speaker 2: might like oil prices might gas prices might spike, people

1408
01:19:11,360 --> 01:19:13,320
Speaker 2: might not might have a shortage. They don't know.

1409
01:19:13,680 --> 01:19:17,080
Speaker 3: That's not good. I mean a lot of people ain't

1410
01:19:17,120 --> 01:19:19,360
Speaker 3: going nowhere, which is a good thing, which means they're

1411
01:19:19,360 --> 01:19:20,240
Speaker 3: not gonna need to gas.

1412
01:19:20,240 --> 01:19:24,000
Speaker 2: But you know, steal Colonial Pipeline is the largest refined

1413
01:19:24,040 --> 01:19:26,960
Speaker 2: products pipeline in the United States, transporting two point five

1414
01:19:27,000 --> 01:19:31,280
Speaker 2: million barrels per day around of off fuel consumed on

1415
01:19:31,280 --> 01:19:34,320
Speaker 2: the East Coast, including gasoline, diesel, jet fuel, a heat,

1416
01:19:34,360 --> 01:19:38,040
Speaker 2: and oil. Last year, a cracking the pipeline that went

1417
01:19:38,080 --> 01:19:40,559
Speaker 2: undetected for days or weeks leaked to one point two

1418
01:19:40,600 --> 01:19:44,240
Speaker 2: million gallons of gasoline. Good God, and a nature preserved

1419
01:19:44,320 --> 01:19:52,519
Speaker 2: near Charlotte, North Carolina. Oh no, yeah, in news, you

1420
01:19:52,600 --> 01:19:53,840
Speaker 2: didn't know you needed to know.

1421
01:19:54,160 --> 01:19:56,440
Speaker 3: I did not know. I need to know that information.

1422
01:19:57,120 --> 01:19:59,960
Speaker 2: What what? Whoops? What preserve?

1423
01:20:00,240 --> 01:20:00,479
Speaker 3: Is that?

1424
01:20:02,240 --> 01:20:04,559
Speaker 2: Whose house is that close to? Who drinking that water?

1425
01:20:05,080 --> 01:20:08,960
Speaker 3: Whoop? So uh yeah, the system was probably supposed to

1426
01:20:09,000 --> 01:20:10,600
Speaker 3: turn on to be like, hey, don doesn't know if

1427
01:20:10,640 --> 01:20:11,360
Speaker 3: anything leaking.

1428
01:20:11,560 --> 01:20:14,200
Speaker 2: Damn, we don't declare the state of emergency. I just

1429
01:20:14,240 --> 01:20:16,639
Speaker 2: looked that up over the pipeline.

1430
01:20:16,200 --> 01:20:18,400
Speaker 3: That makes his shit leaking out into the water and

1431
01:20:18,479 --> 01:20:18,840
Speaker 3: the river.

1432
01:20:19,560 --> 01:20:24,639
Speaker 2: It was temporarily suspend motor vehicle fuel regulations here because

1433
01:20:24,680 --> 01:20:25,760
Speaker 2: of the state of emergency.

1434
01:20:26,560 --> 01:20:29,080
Speaker 3: What does that mean? Motor vehicle few regulations?

1435
01:20:29,439 --> 01:20:31,679
Speaker 2: I don't know. You started mixing that shit with alcohol,

1436
01:20:31,720 --> 01:20:35,479
Speaker 2: I don't know. You can put one quarter water in

1437
01:20:35,640 --> 01:20:37,160
Speaker 2: for every quarter for goatsoline.

1438
01:20:38,439 --> 01:20:45,880
Speaker 3: Here's y'all, here's your handmade mixture two thirds pepto bis Mall.

1439
01:20:44,880 --> 01:20:47,480
Speaker 2: Right, maybe you can get your feel from other places.

1440
01:20:48,880 --> 01:20:50,320
Speaker 2: Don't have to worry about the competition.

1441
01:20:50,360 --> 01:20:53,040
Speaker 3: But like going to South Carolina's cheaper right.

1442
01:20:54,360 --> 01:20:57,559
Speaker 2: Uh. A Georgia woman was shocked to find at least

1443
01:20:57,560 --> 01:20:59,759
Speaker 2: one hundred thousand bees in our home for the second

1444
01:20:59,760 --> 01:21:00,200
Speaker 2: time time.

1445
01:21:01,240 --> 01:21:03,200
Speaker 3: Number two, Look at queen. You need to find you

1446
01:21:03,240 --> 01:21:04,160
Speaker 3: somewhere else to stay.

1447
01:21:04,600 --> 01:21:07,479
Speaker 2: That's the bee's house. Now, yeah, you've been staying in

1448
01:21:07,479 --> 01:21:08,479
Speaker 2: their house. They told you.

1449
01:21:08,439 --> 01:21:12,439
Speaker 3: One you know, one time, I might be cool twice?

1450
01:21:12,479 --> 01:21:14,240
Speaker 3: You know what? It's time to me? Looks so well, suspassed.

1451
01:21:14,280 --> 01:21:16,920
Speaker 2: I'm talking all that shit about Beyonce. Have you thought

1452
01:21:16,960 --> 01:21:17,439
Speaker 2: about that?

1453
01:21:17,520 --> 01:21:18,920
Speaker 3: Have you thought about that?

1454
01:21:19,080 --> 01:21:21,760
Speaker 2: Maybe everybody don't need to hear all your opinions.

1455
01:21:22,040 --> 01:21:25,080
Speaker 3: Show Down't all the bees show up? You sitting there.

1456
01:21:26,040 --> 01:21:30,479
Speaker 2: I'm surprised the beehive never did that to nobody, like,

1457
01:21:30,600 --> 01:21:32,679
Speaker 2: so like one of the like find a bee keeper

1458
01:21:32,720 --> 01:21:34,360
Speaker 2: with a queen bee and just put that shit in

1459
01:21:34,439 --> 01:21:37,000
Speaker 2: somebody house and be like, Ah, shouldn't have been talking

1460
01:21:37,040 --> 01:21:37,599
Speaker 2: all that shit.

1461
01:21:37,800 --> 01:21:40,719
Speaker 3: Shouldn't have been talking all that shit. Why'd you getting stunned?

1462
01:21:40,720 --> 01:21:41,920
Speaker 3: Because I'm a part of the half.

1463
01:21:42,600 --> 01:21:45,639
Speaker 2: A fourteen year old Florida girl questioned school's dress code

1464
01:21:46,040 --> 01:21:50,360
Speaker 2: after teacher called her outfit to revealing. It's always interesting

1465
01:21:50,400 --> 01:21:52,720
Speaker 2: with these articles because the one they always seem to

1466
01:21:52,760 --> 01:21:55,960
Speaker 2: come out around prime time, uh, time for the prom

1467
01:21:56,000 --> 01:21:59,200
Speaker 2: and time for school graduations. But then also every article

1468
01:21:59,240 --> 01:22:02,360
Speaker 2: we have to look at the girls clothes so we

1469
01:22:02,400 --> 01:22:05,439
Speaker 2: can all make our own evaluation of is it too revealing?

1470
01:22:06,160 --> 01:22:09,320
Speaker 2: Like like every last one of these, like these perverts

1471
01:22:09,320 --> 01:22:11,840
Speaker 2: thought it was too revealing. Now check out this young

1472
01:22:11,880 --> 01:22:16,400
Speaker 2: girl's body, Like what do you think? Viewer? Let's all

1473
01:22:16,840 --> 01:22:17,680
Speaker 2: got A Yuli.

1474
01:22:17,439 --> 01:22:20,120
Speaker 8: Middle School student is now suspended after butting heads with

1475
01:22:20,160 --> 01:22:24,040
Speaker 8: administrators over dress code complaints. News for Jacks reporter Joe

1476
01:22:24,120 --> 01:22:26,800
Speaker 8: McLean has been covering this issue in other districts and

1477
01:22:26,840 --> 01:22:30,360
Speaker 8: today spoke to the student and her mother about this confrontation.

1478
01:22:31,280 --> 01:22:34,559
Speaker 9: Eighth grader Alice Wagner said she was called out by

1479
01:22:34,600 --> 01:22:37,759
Speaker 9: a teacher at Yuli Middle School because of this outfit.

1480
01:22:38,200 --> 01:22:40,040
Speaker 10: My teacher has said something about my.

1481
01:22:40,040 --> 01:22:45,479
Speaker 2: Breasts and okay, I already see the problem here. She's

1482
01:22:45,520 --> 01:22:50,000
Speaker 2: one of these white girls. That clearly looks too. Oh

1483
01:22:50,160 --> 01:22:52,680
Speaker 2: you know, she probably smokes cigarettes. Having me taken care

1484
01:22:52,720 --> 01:22:56,520
Speaker 2: of herself, and the white has cracked, you know, black duncracked.

1485
01:22:56,840 --> 01:23:00,479
Speaker 2: Black people look young forever, and sometimes I it happens

1486
01:23:00,479 --> 01:23:02,800
Speaker 2: with white people. Were they seventeen but they looked twenty eight?

1487
01:23:02,920 --> 01:23:05,320
Speaker 2: And this teacher couldn't take it because nothing's really that

1488
01:23:05,400 --> 01:23:09,000
Speaker 2: revealing about this dress. Right, So clearly got kitties.

1489
01:23:09,040 --> 01:23:10,400
Speaker 3: Okay, you got kitties too.

1490
01:23:10,640 --> 01:23:12,640
Speaker 2: This is the person that's uncomfortable with the fact that

1491
01:23:12,680 --> 01:23:15,479
Speaker 2: her body is turned into a young woman. And now

1492
01:23:15,520 --> 01:23:20,919
Speaker 2: it's uh, now you you can't. Your body now belongs

1493
01:23:20,960 --> 01:23:24,200
Speaker 2: to the world as far as like sexually, you owe

1494
01:23:24,280 --> 01:23:27,439
Speaker 2: it to the world. Now how to dress yourself, how

1495
01:23:27,520 --> 01:23:30,280
Speaker 2: to behave, how to act because sex is what you're

1496
01:23:30,320 --> 01:23:33,679
Speaker 2: measured by for the rest of your life. Now, because

1497
01:23:33,880 --> 01:23:36,400
Speaker 2: this same outfit was on somebody that was less en doubt,

1498
01:23:36,400 --> 01:23:37,280
Speaker 2: it wouldn't be a problem.

1499
01:23:37,439 --> 01:23:40,920
Speaker 9: Right middle school, because of this outfit.

1500
01:23:40,880 --> 01:23:43,559
Speaker 10: My teacher had said something about my breasts and she

1501
01:23:43,680 --> 01:23:45,120
Speaker 10: told me I was letting them hang out for the

1502
01:23:45,120 --> 01:23:45,840
Speaker 10: whole world to see.

1503
01:23:45,880 --> 01:23:46,360
Speaker 2: I was.

1504
01:23:46,160 --> 01:23:49,639
Speaker 10: I was exiting a classroom, I went to the bathroom

1505
01:23:49,680 --> 01:23:51,280
Speaker 10: and I came back and I said, you need to

1506
01:23:51,280 --> 01:23:53,640
Speaker 10: stop sexualizing fourteen year old girls. Right.

1507
01:23:55,439 --> 01:23:57,439
Speaker 2: First of all, that is the difference in this story.

1508
01:23:58,080 --> 01:23:59,920
Speaker 2: Normally the kids don't have the words and won't be

1509
01:24:00,160 --> 01:24:02,360
Speaker 2: up for themselves because they don't know better. And who

1510
01:24:02,360 --> 01:24:04,400
Speaker 2: blames you. You're fourteen, You came to school to do

1511
01:24:04,479 --> 01:24:05,519
Speaker 2: what everyone else's school.

1512
01:24:05,640 --> 01:24:07,640
Speaker 3: I mean, she's fully covered. I don't get it.

1513
01:24:07,840 --> 01:24:10,120
Speaker 2: Yeah, yeah, but that's how the stories always go. We've

1514
01:24:10,120 --> 01:24:11,680
Speaker 2: done this story one hundred times on the show, not

1515
01:24:11,760 --> 01:24:15,680
Speaker 2: a hundred, but at least once a year. But the

1516
01:24:15,760 --> 01:24:17,439
Speaker 2: kids didn't used to always have the words. It used

1517
01:24:17,479 --> 01:24:18,720
Speaker 2: to be the parents doing all this.

1518
01:24:19,280 --> 01:24:20,680
Speaker 3: Yeah, the true true. Yeah.

1519
01:24:20,760 --> 01:24:22,960
Speaker 2: Now the children are like, hey, I told her to

1520
01:24:23,000 --> 01:24:26,000
Speaker 2: her face, this is fucked up. Now she is revealing

1521
01:24:26,000 --> 01:24:28,160
Speaker 2: a little too much nose for me in this mask.

1522
01:24:28,320 --> 01:24:30,960
Speaker 2: I will say that she'd be pulling it up. Now,

1523
01:24:31,000 --> 01:24:33,360
Speaker 2: I'm gonna need it to pull the nose cleavage. It's

1524
01:24:33,360 --> 01:24:35,560
Speaker 2: getting disturbing, okay, And I can't concentrate.

1525
01:24:36,479 --> 01:24:39,000
Speaker 10: Got my stuff and I removed myself from the situation.

1526
01:24:39,360 --> 01:24:42,160
Speaker 9: Wagner said she went to the administrator's office to call

1527
01:24:42,200 --> 01:24:46,000
Speaker 9: her parents, but was refused. The situation escalated into a

1528
01:24:46,080 --> 01:24:50,080
Speaker 9: fiery exchange between Wagner and school administrators, which landed her

1529
01:24:50,120 --> 01:24:53,639
Speaker 9: in a ten days suspension. She and her mom, Sarah,

1530
01:24:53,800 --> 01:24:56,200
Speaker 9: admit the outburst crossed the line.

1531
01:24:56,320 --> 01:24:57,920
Speaker 11: I don't think it's okay for her to talk to

1532
01:24:58,360 --> 01:25:01,120
Speaker 11: teachers that way, but I underst stand why she was angry.

1533
01:25:01,800 --> 01:25:05,360
Speaker 11: She was basically sexually harassed by your teacher. The teacher

1534
01:25:05,360 --> 01:25:07,479
Speaker 11: did apologize to understand what she did was wrong.

1535
01:25:07,800 --> 01:25:11,120
Speaker 2: But we're working, yeah, because like that's the thing, even

1536
01:25:11,160 --> 01:25:14,639
Speaker 2: if I'm sure she's really getting suspended for the escalation,

1537
01:25:14,760 --> 01:25:17,639
Speaker 2: because I'm sure she said some shit.

1538
01:25:17,760 --> 01:25:19,080
Speaker 3: You know, she was like I just want to call

1539
01:25:19,120 --> 01:25:19,920
Speaker 3: my fucking mom.

1540
01:25:20,120 --> 01:25:22,280
Speaker 2: Right, she probably was saying fuck a lot and all

1541
01:25:22,280 --> 01:25:26,360
Speaker 2: that stuff, assuming that it wasn't nothing like racist or whatever. Right,

1542
01:25:26,920 --> 01:25:31,599
Speaker 2: But it's fucked up because the situation should have never happened, right,

1543
01:25:31,920 --> 01:25:34,240
Speaker 2: you know, the teacher, Even if the teacher would have

1544
01:25:34,240 --> 01:25:36,559
Speaker 2: thought her dress was inappropriate, which I don't think it was.

1545
01:25:37,000 --> 01:25:38,840
Speaker 2: Even if she would have thought what she had on

1546
01:25:38,880 --> 01:25:41,800
Speaker 2: was inappropriate, you could have just been like, can I

1547
01:25:41,840 --> 01:25:44,400
Speaker 2: talk to you in the hallway for a second, or

1548
01:25:44,640 --> 01:25:48,040
Speaker 2: like to say a little snarky con comment like that

1549
01:25:48,520 --> 01:25:51,559
Speaker 2: you got your breast hanging out for the world to see. Like, well,

1550
01:25:51,560 --> 01:25:55,880
Speaker 2: that's not constructive like that, do you sound jealous? Ma'am?

1551
01:25:58,320 --> 01:26:00,000
Speaker 11: Agree that it's more of a systemic problem.

1552
01:26:00,320 --> 01:26:03,240
Speaker 9: Specifically, Alis said that there's a double standard in the

1553
01:26:03,320 --> 01:26:06,040
Speaker 9: dress code based on student's body shape.

1554
01:26:06,320 --> 01:26:09,280
Speaker 10: I believe that teachers are targeting women with mature bodies

1555
01:26:09,439 --> 01:26:12,880
Speaker 10: women in general. Absolutely so. Just because I have a

1556
01:26:12,880 --> 01:26:15,560
Speaker 10: little bit of breasts, I get targeted this.

1557
01:26:16,160 --> 01:26:19,360
Speaker 2: The reporter will be like, ma'am, them are some big titties. Okay,

1558
01:26:19,439 --> 01:26:20,599
Speaker 2: not just a little bit of breast.

1559
01:26:20,720 --> 01:26:21,040
Speaker 3: Uha.

1560
01:26:21,320 --> 01:26:23,679
Speaker 2: Now we're gonna be accurate. Let's be accurate here. Okay,

1561
01:26:23,720 --> 01:26:25,760
Speaker 2: don't bullshit me. I'm on your side, but come on,

1562
01:26:25,920 --> 01:26:26,519
Speaker 2: God damn.

1563
01:26:27,200 --> 01:26:30,120
Speaker 9: School district's dress code was updated in January, and the

1564
01:26:30,120 --> 01:26:33,280
Speaker 9: district said it's reevaluated at the end of each year.

1565
01:26:33,720 --> 01:26:36,920
Speaker 9: Wagner said she was told that her undergarments were showing,

1566
01:26:37,280 --> 01:26:41,240
Speaker 9: but she claimed the cardigan she was wearing made that impossible.

1567
01:26:41,479 --> 01:26:41,679
Speaker 11: Right.

1568
01:26:41,760 --> 01:26:44,360
Speaker 9: The Nassau County School District said it won't be making

1569
01:26:44,400 --> 01:26:47,200
Speaker 9: a statement on this story. A spokesperson told me the

1570
01:26:47,200 --> 01:26:52,000
Speaker 9: district doesn't comment on disciplinary matters that involve individual students.

1571
01:26:52,920 --> 01:26:57,240
Speaker 2: Yeah, they I mean because essentially they got they got

1572
01:26:57,280 --> 01:26:59,960
Speaker 2: a target shit to the teacher, like they didn't get

1573
01:27:00,080 --> 01:27:02,080
Speaker 2: her for the dress cold things, So that thing is

1574
01:27:02,120 --> 01:27:04,880
Speaker 2: gonna be like, well, she was fine, she was gonna

1575
01:27:04,880 --> 01:27:06,840
Speaker 2: be in class, she could have just I mean, it

1576
01:27:06,880 --> 01:27:09,400
Speaker 2: wasn't much we could do at the moment. But then

1577
01:27:09,400 --> 01:27:11,720
Speaker 2: when she came and cuss this motherfucker out, that was

1578
01:27:11,760 --> 01:27:15,160
Speaker 2: over the line. And that's how they get you. But yeah,

1579
01:27:15,320 --> 01:27:17,800
Speaker 2: I don't know. I mean, mostly I just feel like

1580
01:27:17,840 --> 01:27:21,600
Speaker 2: we've covered that kind of story before, you know, And

1581
01:27:21,640 --> 01:27:23,800
Speaker 2: the same thing happens every prom. Some girl gets sit

1582
01:27:23,880 --> 01:27:26,679
Speaker 2: home from the prom because her body matured a little

1583
01:27:26,680 --> 01:27:29,000
Speaker 2: bit faster than everybody else in the same dress some

1584
01:27:29,080 --> 01:27:31,800
Speaker 2: other girl had on is too much for her. And

1585
01:27:31,800 --> 01:27:34,599
Speaker 2: it's really just about our own ownership of women's bodies

1586
01:27:34,600 --> 01:27:36,920
Speaker 2: and how much we feel like they owe us to

1587
01:27:37,120 --> 01:27:40,080
Speaker 2: cover up and to not be sexual unless we want

1588
01:27:40,120 --> 01:27:42,120
Speaker 2: to make them sexual. And if they and if we

1589
01:27:42,200 --> 01:27:45,720
Speaker 2: feel sexual about somebody's body, then that's their fault too,

1590
01:27:46,080 --> 01:27:49,880
Speaker 2: Like oh my dick got hard, or you know, I

1591
01:27:50,000 --> 01:27:54,360
Speaker 2: noticed you got titties, What is wrong with you? Put

1592
01:27:54,439 --> 01:27:55,080
Speaker 2: on her burker?

1593
01:27:56,240 --> 01:27:56,400
Speaker 7: You know?

1594
01:27:56,840 --> 01:27:59,720
Speaker 3: Then that still don't matter because guess what people with

1595
01:28:00,240 --> 01:28:00,800
Speaker 3: get raped too.

1596
01:28:01,240 --> 01:28:03,040
Speaker 2: Yeah, I'm not even talking about the rape part. I'm

1597
01:28:03,080 --> 01:28:06,080
Speaker 2: just talking about the whole the school being like go

1598
01:28:06,200 --> 01:28:11,000
Speaker 2: home like and these people typically hate Muslims and surreal

1599
01:28:11,080 --> 01:28:13,120
Speaker 2: law and shit, but that's what they sound like. Put

1600
01:28:13,160 --> 01:28:14,800
Speaker 2: on our burker. I don't want to see that ship,

1601
01:28:15,439 --> 01:28:19,599
Speaker 2: you know, titties? How dare a girl developed titties before

1602
01:28:19,680 --> 01:28:20,679
Speaker 2: I'm ready to see him?

1603
01:28:20,720 --> 01:28:22,720
Speaker 3: You know, like you ain't never ready to see him?

1604
01:28:22,720 --> 01:28:25,400
Speaker 3: So here we are again, Just chill out.

1605
01:28:26,640 --> 01:28:29,479
Speaker 2: A hunter accidentally shot a hiker at august A Bush

1606
01:28:29,520 --> 01:28:32,559
Speaker 2: Conservation area because he thought it was a turkey. Thought

1607
01:28:32,880 --> 01:28:33,519
Speaker 2: it was a turkey?

1608
01:28:35,520 --> 01:28:35,960
Speaker 3: Was it going?

1609
01:28:36,000 --> 01:28:36,200
Speaker 10: Come on?

1610
01:28:38,280 --> 01:28:39,800
Speaker 3: I was running past. I don't understand this.

1611
01:28:40,520 --> 01:28:43,760
Speaker 2: The fuck is that it would be funny if if

1612
01:28:43,800 --> 01:28:46,479
Speaker 2: they put a picture of the hiker in the in

1613
01:28:46,520 --> 01:28:50,360
Speaker 2: the article. He had like a turkey shaped jacket on

1614
01:28:50,680 --> 01:28:53,240
Speaker 2: and yeah, and he kind of looked like a turkey,

1615
01:28:54,200 --> 01:28:57,000
Speaker 2: like the vulture from Batman kind of looked like a vulture.

1616
01:28:57,200 --> 01:29:00,280
Speaker 2: But it's a a person. But yeah, we got too

1617
01:29:00,320 --> 01:29:03,799
Speaker 2: many guns in this country. Why is the hiking area

1618
01:29:03,960 --> 01:29:06,920
Speaker 2: near the honey area with a hunter can see it?

1619
01:29:07,120 --> 01:29:09,200
Speaker 3: Yeah? Why are y'all this fucking close together.

1620
01:29:09,560 --> 01:29:11,680
Speaker 2: Why is that a thing that happens in America?

1621
01:29:12,439 --> 01:29:14,360
Speaker 3: Why are you two feet from the gun from the

1622
01:29:14,360 --> 01:29:16,719
Speaker 3: person that's out here is supposed to be hunting like we.

1623
01:29:16,680 --> 01:29:19,840
Speaker 2: Hunt, We hunt turkeys over here, and also.

1624
01:29:20,040 --> 01:29:22,120
Speaker 3: We got a running trio were trying to do it all.

1625
01:29:22,160 --> 01:29:27,040
Speaker 12: Guys, why we want people to get in shape and.

1626
01:29:27,120 --> 01:29:28,479
Speaker 3: Hunting known in the same area.

1627
01:29:29,880 --> 01:29:32,559
Speaker 9: Please say it happened this afternoon in the Bush Memorial

1628
01:29:32,640 --> 01:29:35,839
Speaker 9: Conservation Area that's near Highway ninety four in Saint Charles County.

1629
01:29:36,080 --> 01:29:37,880
Speaker 9: Our Robert Townsend has the latest.

1630
01:29:40,560 --> 01:29:43,920
Speaker 4: On an ordinary day, lots of hunters, runners, and nature

1631
01:29:43,920 --> 01:29:47,160
Speaker 4: lovers trek to the Weldon Spring Conservation era.

1632
01:29:47,400 --> 01:29:50,040
Speaker 2: Although this would be a good way to kill a

1633
01:29:50,120 --> 01:29:53,840
Speaker 2: person you didn't like, get them out of here, you

1634
01:29:53,880 --> 01:29:56,800
Speaker 2: know what I mean? Oh no, I accidentally shot my

1635
01:29:56,880 --> 01:30:01,720
Speaker 2: wife's lover going for a walk, and I thought he'd

1636
01:30:01,720 --> 01:30:04,920
Speaker 2: look like a fucking jib ass turkey if you ask.

1637
01:30:04,840 --> 01:30:10,040
Speaker 4: Me to enjoy the scenes and serenity. But around twelve

1638
01:30:10,160 --> 01:30:14,320
Speaker 4: thirty Saturday afternoon, police say gunfire disturbed the peace.

1639
01:30:14,560 --> 01:30:16,360
Speaker 7: We were so close to the trail hat that it

1640
01:30:16,400 --> 01:30:18,880
Speaker 7: seems really in real estate, some of you would be

1641
01:30:18,920 --> 01:30:21,479
Speaker 7: shot like a mile a mile and a half from

1642
01:30:22,120 --> 01:30:24,160
Speaker 7: like a really traled, well traveled.

1643
01:30:23,800 --> 01:30:26,760
Speaker 4: Trail hat Saint Charles County police say a hunter told

1644
01:30:26,840 --> 01:30:29,439
Speaker 4: them he was on the Lewis Trail loop when he

1645
01:30:29,600 --> 01:30:33,080
Speaker 4: accidentally shot a hiker in his chest. The hunter said

1646
01:30:33,080 --> 01:30:35,160
Speaker 4: he just took the man for turkey.

1647
01:30:35,479 --> 01:30:39,759
Speaker 3: Firstus shot him in his full last chest.

1648
01:30:40,280 --> 01:30:43,160
Speaker 2: The worst part of turkey like three feet tall. The

1649
01:30:43,200 --> 01:30:45,479
Speaker 2: worst part is that he already had some stuff in

1650
01:30:45,680 --> 01:30:48,960
Speaker 2: and some mashtatas of gravy ready to go. So now

1651
01:30:49,120 --> 01:30:49,759
Speaker 2: was this honeygun.

1652
01:30:49,920 --> 01:30:51,360
Speaker 3: He had the oven on and everything.

1653
01:30:52,120 --> 01:30:54,880
Speaker 4: Spoonders had to use utility to raid vehicles to get

1654
01:30:54,920 --> 01:30:57,800
Speaker 4: back here on this trail and reach the man. Witnesses

1655
01:30:57,840 --> 01:31:00,400
Speaker 4: tell us they immediately started treat and him.

1656
01:31:00,560 --> 01:31:03,400
Speaker 7: I could hear voices and then I saw a hunter

1657
01:31:03,680 --> 01:31:07,759
Speaker 7: with a large rifle. Dress had to tell cam.

1658
01:31:08,200 --> 01:31:11,240
Speaker 4: This woman says she also saw the wounded victim on

1659
01:31:11,280 --> 01:31:11,920
Speaker 4: a stretcher.

1660
01:31:12,400 --> 01:31:15,880
Speaker 7: He was covered with the yellow turp. I could see

1661
01:31:16,800 --> 01:31:18,639
Speaker 7: you know it's torso he didn't.

1662
01:31:19,080 --> 01:31:19,280
Speaker 10: Yeah.

1663
01:31:19,360 --> 01:31:24,120
Speaker 2: Now they have a sign that says they have managed

1664
01:31:24,160 --> 01:31:29,200
Speaker 2: Turkey hunt dates youth only firearms a half hour before sunrise.

1665
01:31:29,240 --> 01:31:34,280
Speaker 2: The sunset April tenth to eleven firearms half hour before

1666
01:31:34,320 --> 01:31:37,760
Speaker 2: sunrise at one pm, and they have these dates. So

1667
01:31:38,120 --> 01:31:42,920
Speaker 2: they literally have a fucking hiking trail through a place

1668
01:31:42,960 --> 01:31:44,800
Speaker 2: where you hunt turkeys.

1669
01:31:44,720 --> 01:31:47,599
Speaker 3: And people running through that preparing for their five k

1670
01:31:47,920 --> 01:31:48,920
Speaker 3: The question is, how.

1671
01:31:48,880 --> 01:31:50,559
Speaker 2: Does this not happen every day?

1672
01:31:50,760 --> 01:31:51,000
Speaker 11: Right?

1673
01:31:51,880 --> 01:31:55,560
Speaker 2: How does the first time this happened? You can't do

1674
01:31:56,080 --> 01:31:59,920
Speaker 2: both and just putting up a sign ain't gonna change ship.

1675
01:32:02,760 --> 01:32:04,320
Speaker 7: And they were working on him.

1676
01:32:04,479 --> 01:32:07,240
Speaker 4: The emergency responders air lifted the victim to an area

1677
01:32:07,360 --> 01:32:11,320
Speaker 4: hospital with serious life threatening injuries. According to the Missouri

1678
01:32:11,400 --> 01:32:16,240
Speaker 4: Department of Conservation's website, spring turkey hunting season in Missouri

1679
01:32:16,760 --> 01:32:17,839
Speaker 4: ends on Sunday.

1680
01:32:18,240 --> 01:32:21,799
Speaker 3: I did hear about it from another hiker.

1681
01:32:22,000 --> 01:32:24,080
Speaker 4: Nancy Phillips hikes here often.

1682
01:32:24,280 --> 01:32:25,559
Speaker 3: This is a freak accident.

1683
01:32:25,640 --> 01:32:28,960
Speaker 2: I think now she kind a little like a tacking girl.

1684
01:32:28,960 --> 01:32:32,320
Speaker 2: You better watch yourself. I know, okay, I don't know.

1685
01:32:34,479 --> 01:32:36,880
Speaker 3: It's so scary now.

1686
01:32:37,000 --> 01:32:41,000
Speaker 4: Phillips and others especially hold the hiker in their hearts.

1687
01:32:41,240 --> 01:32:43,040
Speaker 3: I think I'm gonna say prayer for him.

1688
01:32:43,160 --> 01:32:44,080
Speaker 11: It breaks my heart.

1689
01:32:44,320 --> 01:32:45,599
Speaker 2: You know that he was just.

1690
01:32:47,080 --> 01:32:48,400
Speaker 3: Out there, probably.

1691
01:32:48,040 --> 01:32:49,040
Speaker 2: Doing what he loved.

1692
01:32:49,280 --> 01:32:55,519
Speaker 3: I'm sure the terrible kind of round with a bullepoof vest.

1693
01:32:55,920 --> 01:32:59,960
Speaker 2: The real victim is the hunter. Of course he feels terrible.

1694
01:33:00,880 --> 01:33:04,360
Speaker 3: Turkey, I said, he you wasted the amunition and ain't

1695
01:33:04,360 --> 01:33:05,040
Speaker 3: get no turkey.

1696
01:33:05,120 --> 01:33:05,479
Speaker 2: I know.

1697
01:33:07,080 --> 01:33:07,240
Speaker 3: Now.

1698
01:33:07,240 --> 01:33:09,880
Speaker 12: We did look into the rules the turkey hunters are

1699
01:33:09,920 --> 01:33:12,920
Speaker 12: supposed to follow. The Missouri Department of Conservation's list of

1700
01:33:12,960 --> 01:33:17,400
Speaker 12: safety rules and ethics says hunters must positively identify a

1701
01:33:17,439 --> 01:33:20,120
Speaker 12: turkey before aiming. They are not supposed to identify.

1702
01:33:20,160 --> 01:33:28,040
Speaker 2: Oh, those are the rules. Those are the rules. Hey,

1703
01:33:28,200 --> 01:33:28,879
Speaker 2: you a turkey?

1704
01:33:31,120 --> 01:33:34,599
Speaker 3: Of course enough no response, it keeps moving.

1705
01:33:35,000 --> 01:33:36,639
Speaker 2: If he don't say no, I'm not a turkey, I'm

1706
01:33:36,640 --> 01:33:38,520
Speaker 2: gonna go ahead and shoot them, right.

1707
01:33:39,920 --> 01:33:43,280
Speaker 12: And if I won by just sound or movement. Also,

1708
01:33:43,360 --> 01:33:46,160
Speaker 12: hunters should look beyond their field of sight because other

1709
01:33:46,240 --> 01:33:49,360
Speaker 12: hunters could be near that target. And if you are

1710
01:33:49,400 --> 01:33:52,120
Speaker 12: out hunting and are involved in an accident, you are

1711
01:33:52,160 --> 01:33:56,160
Speaker 12: required by law to give assistance and identify yourself. If

1712
01:33:56,280 --> 01:33:58,479
Speaker 12: you do not, it is a felony.

1713
01:33:58,800 --> 01:34:02,160
Speaker 2: Hey, is me the man who's shot you? Just wanna

1714
01:34:02,520 --> 01:34:07,080
Speaker 2: can I help you up? You shot me in my chest?

1715
01:34:08,320 --> 01:34:13,519
Speaker 2: Mm hmmmm, Well I guess since you looked like a turkey,

1716
01:34:13,520 --> 01:34:21,000
Speaker 2: they probably had no trouble dressing. Dressing the wound is

1717
01:34:21,040 --> 01:34:27,520
Speaker 2: what I would have said.

1718
01:34:28,520 --> 01:34:30,280
Speaker 3: I guess he stuffed in full of bullets.

1719
01:34:37,880 --> 01:34:43,479
Speaker 2: Mm mm hmmm. I'm just very thankful that he's still

1720
01:34:43,880 --> 01:35:00,880
Speaker 2: giving a life. Super sorry about that, y'all. And that

1721
01:35:00,920 --> 01:35:04,000
Speaker 2: Turkey was actually fog On leg On in the Turkey disguise.

1722
01:35:06,400 --> 01:35:08,800
Speaker 2: I say, I say, you shot me, boy, you shot me?

1723
01:35:12,200 --> 01:35:16,479
Speaker 2: Uh all right, let's let's do one more story of Lizzo.

1724
01:35:17,720 --> 01:35:20,439
Speaker 2: Lizzo speaks out to fans on TikTok, says I don't

1725
01:35:20,479 --> 01:35:23,320
Speaker 2: want to feel this way anymore. She shared an emotional

1726
01:35:23,360 --> 01:35:26,280
Speaker 2: post about struggling with her mental state. I don't want

1727
01:35:26,280 --> 01:35:29,280
Speaker 2: to feel this anymore, she said a week on the weekend.

1728
01:35:29,360 --> 01:35:31,360
Speaker 2: Over the weekend, the thirty three year old musician took

1729
01:35:31,360 --> 01:35:34,920
Speaker 2: the TikTok to express that she may be feeling like

1730
01:35:35,000 --> 01:35:38,559
Speaker 2: she's a burden to others. You know that part of sadness,

1731
01:35:38,560 --> 01:35:40,559
Speaker 2: so you feel like a burden on everyone, that annoying

1732
01:35:40,800 --> 01:35:43,240
Speaker 2: and nobody cares about you. Can we get rid of

1733
01:35:43,240 --> 01:35:45,720
Speaker 2: that part? It's like, yo, I'm already sad. Could it

1734
01:35:45,920 --> 01:35:48,559
Speaker 2: add insult to injury that I have no one to

1735
01:35:48,560 --> 01:35:51,360
Speaker 2: talk to about it? She said. She went on to

1736
01:35:51,400 --> 01:35:53,360
Speaker 2: say she no longer wants to feel the way she does.

1737
01:35:53,439 --> 01:35:55,120
Speaker 2: I don't want to feel this way anymore. I want

1738
01:35:55,120 --> 01:35:57,040
Speaker 2: to feel like I do have someone to talk to,

1739
01:35:57,560 --> 01:35:59,680
Speaker 2: people do care about me. I have love. I'm not

1740
01:35:59,720 --> 01:36:01,479
Speaker 2: a love That's what I want to feel, but I

1741
01:36:01,479 --> 01:36:02,320
Speaker 2: don't feel like that.

1742
01:36:03,000 --> 01:36:06,559
Speaker 3: Yeah, this pandemic is really affecting people, like more than

1743
01:36:06,600 --> 01:36:09,280
Speaker 3: people really think. And celebrities are people too.

1744
01:36:09,800 --> 01:36:12,840
Speaker 2: Yeah. I think I also the social media shit right, cause,

1745
01:36:12,920 --> 01:36:14,800
Speaker 2: like you got even the fact that you're telling this

1746
01:36:15,040 --> 01:36:19,519
Speaker 2: to social media is like, you know, these are not

1747
01:36:19,600 --> 01:36:23,360
Speaker 2: your friends. This is not a therapist, this is not help.

1748
01:36:24,280 --> 01:36:26,320
Speaker 2: You know, you could just get just as you could

1749
01:36:26,360 --> 01:36:29,400
Speaker 2: get ninety nine percent of people say I love you, Liz, oh,

1750
01:36:29,439 --> 01:36:31,679
Speaker 2: don't do this, blah blah blah, and you could get

1751
01:36:31,800 --> 01:36:34,599
Speaker 2: one person going kill yourself, fat bitch, I hate you,

1752
01:36:34,720 --> 01:36:36,920
Speaker 2: And then that one person, when you're in that state,

1753
01:36:37,400 --> 01:36:39,439
Speaker 2: is gonna be the one that's gonna stick out to you.

1754
01:36:39,439 --> 01:36:39,640
Speaker 3: You know.

1755
01:36:40,800 --> 01:36:44,519
Speaker 2: It's really like playing with fire. And I think also,

1756
01:36:46,600 --> 01:36:49,280
Speaker 2: like we talked about earlier, people aren't getting mental health

1757
01:36:49,720 --> 01:36:52,880
Speaker 2: help right now. And one of the things that I've

1758
01:36:52,920 --> 01:36:56,800
Speaker 2: seen the social media is when people are in the

1759
01:36:56,840 --> 01:37:01,680
Speaker 2: throes of depression. Everyone likes to dunk and act like

1760
01:37:01,760 --> 01:37:04,920
Speaker 2: they figured it out, like this is what you should say,

1761
01:37:05,040 --> 01:37:06,880
Speaker 2: and dah da da da. But a lot of times

1762
01:37:06,880 --> 01:37:09,400
Speaker 2: that'd be the like when depression is talking, it can't

1763
01:37:09,439 --> 01:37:13,439
Speaker 2: hear you. It can't hear that logic that love. Whatever

1764
01:37:13,479 --> 01:37:15,960
Speaker 2: you think your perfect words are, it don't matter because

1765
01:37:15,960 --> 01:37:18,960
Speaker 2: your brain chemistry just won't let it get through. So

1766
01:37:19,120 --> 01:37:21,719
Speaker 2: and I've seen people go through that shit, and it's

1767
01:37:21,760 --> 01:37:25,960
Speaker 2: really not much you can do, like, you know, because

1768
01:37:26,040 --> 01:37:30,160
Speaker 2: depression is a liar. It'll tell you shit like nobody

1769
01:37:30,200 --> 01:37:34,080
Speaker 2: cares about you, nobody loves you, if nobody's called, if

1770
01:37:34,120 --> 01:37:36,320
Speaker 2: this person hasn't called you, they don't care about you.

1771
01:37:36,439 --> 01:37:38,800
Speaker 2: Or you know, you ain't worth shit, or you're a

1772
01:37:38,880 --> 01:37:41,200
Speaker 2: terrible friend, or you're a burden to everybody, you're letting

1773
01:37:41,200 --> 01:37:45,439
Speaker 2: people down. That's how that shit will tell your brain

1774
01:37:46,080 --> 01:37:47,160
Speaker 2: to think about.

1775
01:37:46,920 --> 01:37:48,720
Speaker 3: Itself, because that's what it's designed to do.

1776
01:37:48,960 --> 01:37:51,439
Speaker 2: Yeah, or I don't know about design, but that's what

1777
01:37:51,479 --> 01:37:53,840
Speaker 2: your brain chemistry does. You know what I'm saying. It

1778
01:37:53,880 --> 01:37:56,000
Speaker 2: makes you feel alone and burden and all that stuff

1779
01:37:56,439 --> 01:37:58,439
Speaker 2: and don't matter. If you've got a billion dollars, it

1780
01:37:58,439 --> 01:38:01,559
Speaker 2: don't matter. If you've got zero dollars, your brain chemistry,

1781
01:38:01,600 --> 01:38:05,080
Speaker 2: your brain chemistry. What happens now, though, is that people

1782
01:38:05,160 --> 01:38:08,280
Speaker 2: share this stuff. I'm not really a hundred since sure.

1783
01:38:08,840 --> 01:38:15,480
Speaker 2: When you share it like this, so immediate, so unfiltered,

1784
01:38:16,080 --> 01:38:18,680
Speaker 2: to an audience of people that may or may not

1785
01:38:18,760 --> 01:38:21,960
Speaker 2: have any investment in you, I'm not really sure that

1786
01:38:21,960 --> 01:38:24,800
Speaker 2: that's a good thing. You know. She came back later

1787
01:38:24,880 --> 01:38:28,080
Speaker 2: on and talked about how she felt better and she

1788
01:38:28,160 --> 01:38:31,400
Speaker 2: had a really rough night and all that stuff. But man,

1789
01:38:31,439 --> 01:38:35,519
Speaker 2: it's like, who Man, It's just it's a lot. Man,

1790
01:38:35,760 --> 01:38:38,920
Speaker 2: These people out here, they're sharing a lot, And I

1791
01:38:38,960 --> 01:38:41,280
Speaker 2: don't know that we really understand how this shit affects

1792
01:38:41,439 --> 01:38:44,240
Speaker 2: our brains anyway, I don't. I think we will look

1793
01:38:44,280 --> 01:38:47,320
Speaker 2: back and realize that this shit didn't help with depression.

1794
01:38:47,360 --> 01:38:49,320
Speaker 2: It may have helped spread awareness about some of the

1795
01:38:49,360 --> 01:38:53,799
Speaker 2: symptoms and all that stuff, but we've seen that social

1796
01:38:53,840 --> 01:38:56,000
Speaker 2: media can make you feel depression.

1797
01:38:56,240 --> 01:38:59,479
Speaker 3: Yeah, I think you've read a study about I remember

1798
01:38:59,520 --> 01:39:03,680
Speaker 3: seeing it articled about teenagers and the suicide rate and

1799
01:39:03,720 --> 01:39:06,920
Speaker 3: how when social media hit the suicide rate actually went

1800
01:39:07,040 --> 01:39:08,520
Speaker 3: up among teenagers.

1801
01:39:08,680 --> 01:39:12,000
Speaker 2: I think it was that documentary watched about Instagram.

1802
01:39:11,560 --> 01:39:13,880
Speaker 3: That's what it was. Yeah, yes, And they talked about

1803
01:39:13,920 --> 01:39:16,799
Speaker 3: how the suicide rate among teenagers just went.

1804
01:39:16,680 --> 01:39:18,560
Speaker 2: To teenage girls I think specific.

1805
01:39:18,240 --> 01:39:21,439
Speaker 3: Yes, specifically teenage girls, because it's about your body. It's

1806
01:39:21,479 --> 01:39:24,280
Speaker 3: about your image. You're not pretty enough, you're too fat,

1807
01:39:24,360 --> 01:39:26,800
Speaker 3: you're too skinny, you don't meet these criterias, you have

1808
01:39:26,920 --> 01:39:30,840
Speaker 3: blemish blemishes and all those types of things, and so

1809
01:39:30,920 --> 01:39:35,680
Speaker 3: these things are connected to that. And it's one of

1810
01:39:35,680 --> 01:39:40,719
Speaker 3: those things where this generation right here that has grown

1811
01:39:40,840 --> 01:39:44,759
Speaker 3: up in this when this generation gets in their thirties

1812
01:39:44,800 --> 01:39:47,840
Speaker 3: and forties, they're gonna be the generation that's gonna be

1813
01:39:47,880 --> 01:39:51,639
Speaker 3: doing studies and statistics and they're gonna be the doctors

1814
01:39:51,680 --> 01:39:54,720
Speaker 3: that's gonna be getting funding to be like, Oh, let's

1815
01:39:54,760 --> 01:39:57,439
Speaker 3: see how Facebook and social media over the past twenty

1816
01:39:57,520 --> 01:40:00,920
Speaker 3: or twenty five years, how it infected people, how you know,

1817
01:40:01,000 --> 01:40:04,360
Speaker 3: how it affected you know, their minds and their brains,

1818
01:40:04,400 --> 01:40:06,839
Speaker 3: and how it affected them fiscally, and how it affected

1819
01:40:06,880 --> 01:40:09,519
Speaker 3: them emotionally. And you know, what did people spend their

1820
01:40:09,520 --> 01:40:12,479
Speaker 3: money on? How did this influence them? You know, how

1821
01:40:12,560 --> 01:40:14,439
Speaker 3: did you know the things that are happening right now,

1822
01:40:14,479 --> 01:40:16,880
Speaker 3: which is going to be history then, how did you

1823
01:40:16,920 --> 01:40:20,160
Speaker 3: know Facebook impact the world, and and and and what's

1824
01:40:20,200 --> 01:40:24,080
Speaker 3: the long term thing behind that. When these children of

1825
01:40:24,120 --> 01:40:26,559
Speaker 3: this generation get older, they're going to be running these

1826
01:40:26,560 --> 01:40:29,439
Speaker 3: studies and statistics, and then we would truly see how

1827
01:40:29,520 --> 01:40:31,120
Speaker 3: this impact. Right now, we're in the middle of it

1828
01:40:31,160 --> 01:40:33,519
Speaker 3: and we're living through it, so it's not ancient history,

1829
01:40:33,560 --> 01:40:35,080
Speaker 3: so it's kind of hard to get these stats and

1830
01:40:35,120 --> 01:40:40,720
Speaker 3: statistics together with something that's actually, uh steal somewhat current. Yeah.

1831
01:40:40,760 --> 01:40:44,320
Speaker 2: I think also we're encouraged to kind of share images

1832
01:40:44,360 --> 01:40:48,760
Speaker 2: of ourselves that aren't really us agreed because like, well

1833
01:40:48,760 --> 01:40:50,880
Speaker 2: a lot of people live though as they bad bitch

1834
01:40:50,920 --> 01:40:53,479
Speaker 2: avatar and she's a strong one. Like for all the

1835
01:40:53,479 --> 01:40:56,559
Speaker 2: stuff that we say about you know, don't take these

1836
01:40:56,600 --> 01:41:00,479
Speaker 2: black women strong black women stereotypes and archetypes and humans

1837
01:41:00,520 --> 01:41:02,280
Speaker 2: and blah blah blah. There's a lot of people that

1838
01:41:02,479 --> 01:41:05,439
Speaker 2: happily do that when you kind of present yourself as

1839
01:41:05,479 --> 01:41:09,000
Speaker 2: a person who wants people to do that. So it's like, yeah,

1840
01:41:09,360 --> 01:41:11,760
Speaker 2: Lizo's a bad bitch, she's this, she's that. Well she's

1841
01:41:11,840 --> 01:41:15,280
Speaker 2: also a human being. She also has her own experiences.

1842
01:41:15,640 --> 01:41:19,200
Speaker 2: There's also people that you know, vilify her just you know,

1843
01:41:19,360 --> 01:41:22,519
Speaker 2: for for for the way she lives, you know, like

1844
01:41:23,040 --> 01:41:25,320
Speaker 2: why aren't you why don't you feel about yourself the

1845
01:41:25,360 --> 01:41:27,680
Speaker 2: way I think you should feel about yourself? And so

1846
01:41:27,760 --> 01:41:30,040
Speaker 2: she sees and deals that pressure too, And then, you know,

1847
01:41:30,120 --> 01:41:32,640
Speaker 2: a lot of times you'll see people make, you know,

1848
01:41:32,720 --> 01:41:34,960
Speaker 2: like her and others make these videos where it's like,

1849
01:41:35,680 --> 01:41:38,120
Speaker 2: you know, I'm bad and I'm a bad bitch, and

1850
01:41:38,160 --> 01:41:39,720
Speaker 2: none of this shit y'all say is gonna affect me

1851
01:41:39,760 --> 01:41:42,160
Speaker 2: blah blah blah. And at some point it's like, but

1852
01:41:42,240 --> 01:41:45,160
Speaker 2: it do, because if you're seeing all the affirmations, you're

1853
01:41:45,160 --> 01:41:47,040
Speaker 2: seeing all the other shit too, and all that shit

1854
01:41:47,120 --> 01:41:51,200
Speaker 2: sings in, you know, so and the little could just

1855
01:41:51,200 --> 01:41:53,000
Speaker 2: be you know, you had a bad night or whatever.

1856
01:41:53,080 --> 01:41:56,040
Speaker 2: But that's just sounded cryptic as hell, Like I'm sure

1857
01:41:56,040 --> 01:41:59,240
Speaker 2: people were like, check on her, somebody, she's gonna kill herself,

1858
01:41:59,320 --> 01:42:02,200
Speaker 2: shit like that. Like it's a scary fucking thing to

1859
01:42:02,320 --> 01:42:05,440
Speaker 2: kind of share something like that to basically a landscape

1860
01:42:05,439 --> 01:42:08,760
Speaker 2: full of strangers. So, yes, at any rate, I'm glad

1861
01:42:08,800 --> 01:42:13,600
Speaker 2: she's okay. But yeah, man, that's wild, And uh, you

1862
01:42:13,680 --> 01:42:15,320
Speaker 2: made me think of this story because of what the

1863
01:42:15,360 --> 01:42:17,360
Speaker 2: points you brought up. So we'll do this one last

1864
01:42:17,400 --> 01:42:22,360
Speaker 2: story okay. Forty four attorney general's attorneys general called for

1865
01:42:22,560 --> 01:42:26,439
Speaker 2: Facebook CEO Mark Zuckerberg to end possible plans for his

1866
01:42:26,640 --> 01:42:31,360
Speaker 2: under thirteen Instagram sites mental health effects and child sexual

1867
01:42:31,400 --> 01:42:37,400
Speaker 2: abuse images. Yeah, you can't do a dope Facebook and Instagram?

1868
01:42:37,840 --> 01:42:41,160
Speaker 2: Why the fuck would Why the fuck would we want

1869
01:42:41,280 --> 01:42:45,400
Speaker 2: him to do under thirteen Instagram? He already can't handle

1870
01:42:45,439 --> 01:42:49,479
Speaker 2: the power of what he built for grown ups. Like

1871
01:42:49,640 --> 01:42:53,160
Speaker 2: who knows all the ways that that could go wrong

1872
01:42:53,360 --> 01:42:56,960
Speaker 2: and all the ways that it will go wrong? Yeah,

1873
01:42:57,280 --> 01:43:00,360
Speaker 2: like he like you couldn't just look it's enough, like

1874
01:43:00,560 --> 01:43:04,120
Speaker 2: this motherfucker keep getting routinely surprised by like, wow, white

1875
01:43:04,160 --> 01:43:07,519
Speaker 2: supremacists still on my site, using it badly? Yes, Like

1876
01:43:07,600 --> 01:43:09,719
Speaker 2: I don't want you in charge of the other kids.

1877
01:43:10,120 --> 01:43:12,840
Speaker 2: Stay away, Like don't you have enough?

1878
01:43:12,920 --> 01:43:16,559
Speaker 3: That's a lot of chiney generals, that's about most of them.

1879
01:43:16,040 --> 01:43:19,200
Speaker 2: Like haven't you done enough? Like so we need you

1880
01:43:19,240 --> 01:43:22,680
Speaker 2: to deal with the impressionable minds of the thirteen and undertooth.

1881
01:43:22,760 --> 01:43:25,559
Speaker 3: Right, so y'all can do fake algorithms and shit like

1882
01:43:25,600 --> 01:43:27,360
Speaker 3: that to see how you can make the kids feel

1883
01:43:27,360 --> 01:43:28,240
Speaker 3: like you did the adults.

1884
01:43:28,280 --> 01:43:31,080
Speaker 2: Get out of here, RIGHTNNA who's gonna who's gonna be

1885
01:43:31,120 --> 01:43:34,639
Speaker 2: faking accounts on there to be to groom children and shit,

1886
01:43:35,200 --> 01:43:39,480
Speaker 2: this is just a bad idea, you know already. Instagram

1887
01:43:39,560 --> 01:43:41,320
Speaker 2: is a bad idea for kids to be on, which

1888
01:43:41,360 --> 01:43:44,080
Speaker 2: is why they have the age limit, you know, because

1889
01:43:44,080 --> 01:43:45,840
Speaker 2: they and they didn't always have all that shit, but

1890
01:43:45,840 --> 01:43:49,600
Speaker 2: they had to because little girls seeing fucking Kill Kardashian

1891
01:43:49,680 --> 01:43:53,640
Speaker 2: twenty seven surgeries and selling weight likes Tommy t is

1892
01:43:53,680 --> 01:43:56,960
Speaker 2: fucking little girls up, like it's fucking adults up too.

1893
01:43:57,000 --> 01:43:59,120
Speaker 2: But you know, it's definitely was causing out Like we

1894
01:43:59,160 --> 01:44:01,960
Speaker 2: said in that document, it caused a spike in suicides

1895
01:44:02,000 --> 01:44:04,479
Speaker 2: for little girls because they were seeing that shit and

1896
01:44:04,520 --> 01:44:07,559
Speaker 2: being like, I'll never be that. What's the point of

1897
01:44:07,640 --> 01:44:10,479
Speaker 2: me living? You know what I mean? So I don't

1898
01:44:10,479 --> 01:44:14,719
Speaker 2: want this motherfucker nowhere around no kids' mental health period,

1899
01:44:16,080 --> 01:44:22,280
Speaker 2: that's insane. Forty four lawyers told you no, Like, if

1900
01:44:22,320 --> 01:44:24,920
Speaker 2: we can't get stop this shit, we can't agree on this,

1901
01:44:24,960 --> 01:44:26,559
Speaker 2: I don't know what else we need to do, right

1902
01:44:27,200 --> 01:44:31,240
Speaker 2: because y'all couldn't even control the misinformation from Trump and

1903
01:44:31,280 --> 01:44:33,280
Speaker 2: shit until after the insurrection.

1904
01:44:33,320 --> 01:44:35,920
Speaker 3: And imagine some faked false information get on there and

1905
01:44:35,920 --> 01:44:37,400
Speaker 3: just start spreading like wildfire.

1906
01:44:37,520 --> 01:44:41,120
Speaker 2: Yeah, we can't have that with kids. Like it's enough,

1907
01:44:42,040 --> 01:44:45,920
Speaker 2: it's enoughing, it's enough already. Now you're gonna throw some

1908
01:44:46,000 --> 01:44:49,360
Speaker 2: children into the mixed man. Fuck you. All right, let's

1909
01:44:49,400 --> 01:45:13,800
Speaker 2: wrap this up. We've been talking for a while. Hawkins

1910
01:45:13,840 --> 01:45:16,240
Speaker 2: man who was shot while attacking the deputy with the sword,

1911
01:45:16,320 --> 01:45:21,600
Speaker 2: sentenced to ten years wait sentence. Ten years later. Oh,

1912
01:45:21,800 --> 01:45:24,439
Speaker 2: Hawkins County man who was shot by Hawkins County sheriff

1913
01:45:24,479 --> 01:45:27,439
Speaker 2: officer in twenty eleven after he charged deputy with a

1914
01:45:27,520 --> 01:45:31,880
Speaker 2: sword has finally pleaded guilty to the ensuing aggravated assault charge.

1915
01:45:32,479 --> 01:45:40,560
Speaker 2: Brandon Lee Lafferty whole White, was recently released from federal prisons,

1916
01:45:40,920 --> 01:45:44,200
Speaker 2: was served last month with a pending Hawkins County Grand

1917
01:45:44,240 --> 01:45:48,920
Speaker 2: Jurion indictment for aggregator aggravated assault. From the twenty eleven attack,

1918
01:45:49,000 --> 01:45:50,640
Speaker 2: it sounded like he was just living.

1919
01:45:51,200 --> 01:45:52,280
Speaker 3: Liven his best life.

1920
01:45:52,760 --> 01:45:56,320
Speaker 2: He got shot by the police and after trying to

1921
01:45:56,560 --> 01:45:59,720
Speaker 2: attack him with a sword, and he just got to

1922
01:45:59,840 --> 01:46:03,599
Speaker 2: be out here for ten years. Chilling, chilling, that's the

1923
01:46:03,600 --> 01:46:08,680
Speaker 2: whitest shit I've ever heard of my life. Ten years later, Wow,

1924
01:46:10,000 --> 01:46:10,759
Speaker 2: you did.

1925
01:46:10,600 --> 01:46:12,320
Speaker 3: That, Yes, yes, you did.

1926
01:46:12,960 --> 01:46:13,920
Speaker 9: With the red kwhite Man.

1927
01:46:14,000 --> 01:46:17,040
Speaker 3: We can do anything anything I see.

1928
01:46:17,360 --> 01:46:24,120
Speaker 2: Oh my god. He was thirty wait nonsense, thirty six

1929
01:46:24,200 --> 01:46:27,320
Speaker 2: years old. Fleeted guilty to one count of aggravated assault

1930
01:46:27,360 --> 01:46:30,360
Speaker 2: at Hawkins County Criminal Court April twenty ninth, and was

1931
01:46:30,360 --> 01:46:33,640
Speaker 2: sentenced to three years of supervised probation. He also was

1932
01:46:33,760 --> 01:46:36,679
Speaker 2: ordered to pay one thousand and thirty dollars in fives

1933
01:46:36,720 --> 01:46:40,400
Speaker 2: and fees one thousand and thirty dollars on November eleventh,

1934
01:46:40,640 --> 01:46:45,360
Speaker 2: twenty eleven. No November one, twenty eleven, which is eleven

1935
01:46:45,960 --> 01:46:49,200
Speaker 2: one eleven. What a what a wild day for this

1936
01:46:49,240 --> 01:46:54,200
Speaker 2: to happen. He was served a rest warrant for violation

1937
01:46:54,240 --> 01:46:57,000
Speaker 2: of probation stemmer from a conviction for solicitation of aggravated

1938
01:46:57,040 --> 01:47:01,960
Speaker 2: sexual battery. So signing some X crime shit, I solicitation

1939
01:47:02,080 --> 01:47:07,880
Speaker 2: of aggravated sexual battery. IM not really sure what that means.

1940
01:47:08,479 --> 01:47:11,040
Speaker 2: So then deputies located him in the back bedroom are

1941
01:47:11,080 --> 01:47:13,320
Speaker 2: with a knife. Report states that he was ordered several

1942
01:47:13,400 --> 01:47:15,640
Speaker 2: times put down his weapon, and then he picked up

1943
01:47:15,640 --> 01:47:18,439
Speaker 2: a sword. He's like, I put down my knife, pick

1944
01:47:18,520 --> 01:47:21,720
Speaker 2: up the sword to be here with pepper spray. He

1945
01:47:21,800 --> 01:47:24,200
Speaker 2: told deputies he wasn't going back to prison. And launched

1946
01:47:24,240 --> 01:47:26,760
Speaker 2: at a deputy with the sword. The debuty fire one round,

1947
01:47:26,800 --> 01:47:28,559
Speaker 2: striking him in the chest. He was later admitted to

1948
01:47:28,560 --> 01:47:34,599
Speaker 2: the hospital. He was initially listed in critical condition, and

1949
01:47:34,640 --> 01:47:36,600
Speaker 2: they was sent us to ten years for solicitation to

1950
01:47:36,640 --> 01:47:40,520
Speaker 2: aggravated sexual battery against eleven year old child, Oh Jesus,

1951
01:47:40,960 --> 01:47:44,280
Speaker 2: which took place in two thousand and eight. In twenty thirteen,

1952
01:47:44,320 --> 01:47:46,040
Speaker 2: he was sent us to an additional thirty months in

1953
01:47:46,120 --> 01:47:49,000
Speaker 2: federal prison for felling the registered as a sex offender.

1954
01:47:49,520 --> 01:47:52,680
Speaker 2: This guy, oh, he bringing all the loans right and

1955
01:47:52,760 --> 01:47:55,799
Speaker 2: he which was followed by fifteen years of supervised release.

1956
01:47:58,320 --> 01:48:01,400
Speaker 2: They should have just kept him in jail. Well, why

1957
01:48:01,400 --> 01:48:06,479
Speaker 2: do you even let him ount that he's happy?

1958
01:48:06,680 --> 01:48:08,040
Speaker 3: Like, if it's a law, I'm a break it.

1959
01:48:08,880 --> 01:48:13,080
Speaker 2: Yeah. Hawkins County Sheriff Ronnie lost And tell the Times

1960
01:48:13,120 --> 01:48:16,040
Speaker 2: News that upon being notified that Laffity had been released

1961
01:48:16,040 --> 01:48:19,080
Speaker 2: from federal prison, his office served Laffity with the twenty

1962
01:48:19,120 --> 01:48:25,960
Speaker 2: eleven aggravated a saw indictment warrant. And then I guess

1963
01:48:25,960 --> 01:48:29,200
Speaker 2: that's when he pulled out the motherfucking heat. I'm gonna

1964
01:48:29,200 --> 01:48:29,920
Speaker 2: put out the sword.

1965
01:48:30,720 --> 01:48:32,400
Speaker 3: I guess it's not the sword, is the heat?

1966
01:48:34,080 --> 01:48:35,680
Speaker 2: Then they got a bunch of random white people at

1967
01:48:35,680 --> 01:48:37,320
Speaker 2: the bottom of lists. They got sentenced for ship But

1968
01:48:37,320 --> 01:48:40,120
Speaker 2: I don't know if this got anything to do with.

1969
01:48:40,000 --> 01:48:45,280
Speaker 3: This sword swording it up to got a sword gang

1970
01:48:45,360 --> 01:48:46,360
Speaker 3: down there in the article.

1971
01:48:46,640 --> 01:48:49,240
Speaker 2: Sounds like it's just other articles about people getting arrested.

1972
01:48:49,240 --> 01:48:51,240
Speaker 2: But anyway, this must be a real white part of

1973
01:48:51,280 --> 01:48:54,479
Speaker 2: the country. No black people, there's no black people on

1974
01:48:54,479 --> 01:48:58,280
Speaker 2: that list. I kept scrolling. All right, y'all, that's it

1975
01:48:58,320 --> 01:49:01,719
Speaker 2: for today. Tomorrow will have jail COVID five pm Easter

1976
01:49:01,840 --> 01:49:06,040
Speaker 2: Standard time is winning that show is uh, So make

1977
01:49:06,080 --> 01:49:10,720
Speaker 2: sure y'all are back here tomorrow. Until then, I love you.

1978
01:49:10,800 --> 01:49:11,840
Speaker 3: I love